diff --git a/README.md b/README.md
index a3f8e4d7..8157711d 100644
--- a/README.md
+++ b/README.md
@@ -8,7 +8,9 @@ NOTES:
 * There is https://github.com/openai/openai-java, which OpenAI describes as
   "The official Java library for the OpenAI API", but:
   1. That "official" library lags behind https://github.com/openai/openai-openapi/blob/master/openapi.yaml  
-     For example, as of 2025/02/12 is is **STILL** lacking OpenAI's Realtime API (https://platform.openai.com/docs/api-reference/realtime), which is my main use case.
+     For example: OpenAI's Realtime API (https://platform.openai.com/docs/api-reference/realtime),
+     which is my main use case, is in https://github.com/openai/openai-openapi/blob/master/openapi.yaml,
+     but as of 2025/03/28 it is **STILL** not in https://github.com/openai/openai-java. :/  
   2. `openai-java` is actually a nearly fully modernized Kotlin library, so the name
      `openai-java` is legacy;  
      it really should be named `openai-kotlin`.
@@ -60,6 +62,13 @@ All of my changes can be seen at:
 https://github.com/swooby/openai-openapi-kotlin/pull/1/files
 
 ## Updates
+Very similar to original generation.
+
+It usually takes me 1-2 hours to do this.  
+More if there are more changes.  
+Less is there are less changes.  
+Keep in mind that some of this time is verifying/updating the below documentation of any changes.
+
 When a new spec comes out:
 1. Make sure to start from a fresh/stashed checkout.
 2. `rm -r ./lib/src`
diff --git a/gradle/libs.versions.toml b/gradle/libs.versions.toml
index edd5a183..aaa9d06e 100644
--- a/gradle/libs.versions.toml
+++ b/gradle/libs.versions.toml
@@ -3,6 +3,7 @@ kotlin = "2.0.21"
 kotlintestRunnerJunit5 = "3.4.2"
 squareupMoshiKotlin = "1.15.1"
 squareupOkhttpBom = "4.12.0"
+spotless = "7.0.2"
 
 [libraries]
 kotlintest-runner-junit5 = { module = "io.kotlintest:kotlintest-runner-junit5", version.ref = "kotlintestRunnerJunit5" }
@@ -12,3 +13,4 @@ squareup-okhttp3 = { module = "com.squareup.okhttp3:okhttp" }
 
 [plugins]
 kotlin-jvm = { id = "org.jetbrains.kotlin.jvm", version.ref = "kotlin" }
+spotless = { id = "com.diffplug.spotless", version.ref = "spotless" }
diff --git a/gradle/wrapper/gradle-wrapper.properties b/gradle/wrapper/gradle-wrapper.properties
index 6059a5fa..cea7a793 100644
--- a/gradle/wrapper/gradle-wrapper.properties
+++ b/gradle/wrapper/gradle-wrapper.properties
@@ -1,6 +1,7 @@
-#Sun Dec 15 17:37:56 PST 2024
 distributionBase=GRADLE_USER_HOME
 distributionPath=wrapper/dists
 distributionUrl=https\://services.gradle.org/distributions/gradle-8.12-bin.zip
+networkTimeout=10000
+validateDistributionUrl=true
 zipStoreBase=GRADLE_USER_HOME
 zipStorePath=wrapper/dists
diff --git a/lib/README.md b/lib/README.md
index 00d5c037..ce2dbd8c 100644
--- a/lib/README.md
+++ b/lib/README.md
@@ -7,7 +7,7 @@ This API client was generated by the [OpenAPI Generator](https://openapi-generat
 
 - API version: 2.3.0
 - Package version: 
-- Generator version: 7.10.0
+- Generator version: 7.12.0
 - Build package: org.openapitools.codegen.languages.KotlinClientCodegen
 For more information, please visit [https://help.openai.com/](https://help.openai.com/)
 
@@ -77,7 +77,12 @@ All URIs are relative to *https://api.openai.com/v1*
 | *BatchApi* | [**createBatch**](docs/BatchApi.md#createbatch) | **POST** /batches | Creates and executes a batch from an uploaded file of requests |
 | *BatchApi* | [**listBatches**](docs/BatchApi.md#listbatches) | **GET** /batches | List your organization's batches. |
 | *BatchApi* | [**retrieveBatch**](docs/BatchApi.md#retrievebatch) | **GET** /batches/{batch_id} | Retrieves a batch. |
-| *ChatApi* | [**createChatCompletion**](docs/ChatApi.md#createchatcompletion) | **POST** /chat/completions | Creates a model response for the given chat conversation. Learn more in the [text generation](/docs/guides/text-generation), [vision](/docs/guides/vision), and [audio](/docs/guides/audio) guides.  Parameter support can differ depending on the model used to generate the response, particularly for newer reasoning models. Parameters that are only supported for reasoning models are noted below. For the current state of  unsupported parameters in reasoning models,  [refer to the reasoning guide](/docs/guides/reasoning).  |
+| *ChatApi* | [**createChatCompletion**](docs/ChatApi.md#createchatcompletion) | **POST** /chat/completions | **Starting a new project?** We recommend trying [Responses](/docs/api-reference/responses)  to take advantage of the latest OpenAI platform features. Compare [Chat Completions with Responses](/docs/guides/responses-vs-chat-completions?api-mode=responses).  ---  Creates a model response for the given chat conversation. Learn more in the [text generation](/docs/guides/text-generation), [vision](/docs/guides/vision), and [audio](/docs/guides/audio) guides.  Parameter support can differ depending on the model used to generate the response, particularly for newer reasoning models. Parameters that are only supported for reasoning models are noted below. For the current state of  unsupported parameters in reasoning models,  [refer to the reasoning guide](/docs/guides/reasoning).  |
+| *ChatApi* | [**deleteChatCompletion**](docs/ChatApi.md#deletechatcompletion) | **DELETE** /chat/completions/{completion_id} | Delete a stored chat completion. Only Chat Completions that have been created with the `store` parameter set to `true` can be deleted.  |
+| *ChatApi* | [**getChatCompletion**](docs/ChatApi.md#getchatcompletion) | **GET** /chat/completions/{completion_id} | Get a stored chat completion. Only Chat Completions that have been created with the `store` parameter set to `true` will be returned.  |
+| *ChatApi* | [**getChatCompletionMessages**](docs/ChatApi.md#getchatcompletionmessages) | **GET** /chat/completions/{completion_id}/messages | Get the messages in a stored chat completion. Only Chat Completions that have been created with the `store` parameter set to `true` will be returned.  |
+| *ChatApi* | [**listChatCompletions**](docs/ChatApi.md#listchatcompletions) | **GET** /chat/completions | List stored Chat Completions. Only Chat Completions that have been stored with the `store` parameter set to `true` will be returned.  |
+| *ChatApi* | [**updateChatCompletion**](docs/ChatApi.md#updatechatcompletion) | **POST** /chat/completions/{completion_id} | Modify a stored chat completion. Only Chat Completions that have been created with the `store` parameter set to `true` can be modified. Currently, the only supported modification is to update the `metadata` field.  |
 | *CompletionsApi* | [**createCompletion**](docs/CompletionsApi.md#createcompletion) | **POST** /completions | Creates a completion for the provided prompt and parameters. |
 | *DefaultApi* | [**adminApiKeysCreate**](docs/DefaultApi.md#adminapikeyscreate) | **POST** /organization/admin_api_keys | Create an organization admin API key |
 | *DefaultApi* | [**adminApiKeysDelete**](docs/DefaultApi.md#adminapikeysdelete) | **DELETE** /organization/admin_api_keys/{key_id} | Delete an organization admin API key |
@@ -90,7 +95,10 @@ All URIs are relative to *https://api.openai.com/v1*
 | *FilesApi* | [**listFiles**](docs/FilesApi.md#listfiles) | **GET** /files | Returns a list of files. |
 | *FilesApi* | [**retrieveFile**](docs/FilesApi.md#retrievefile) | **GET** /files/{file_id} | Returns information about a specific file. |
 | *FineTuningApi* | [**cancelFineTuningJob**](docs/FineTuningApi.md#cancelfinetuningjob) | **POST** /fine_tuning/jobs/{fine_tuning_job_id}/cancel | Immediately cancel a fine-tune job.  |
+| *FineTuningApi* | [**createFineTuningCheckpointPermission**](docs/FineTuningApi.md#createfinetuningcheckpointpermission) | **POST** /fine_tuning/checkpoints/{permission_id}/permissions | **NOTE:** Calling this endpoint requires an [admin API key](../admin-api-keys).  This enables organization owners to share fine-tuned models with other projects in their organization.  |
 | *FineTuningApi* | [**createFineTuningJob**](docs/FineTuningApi.md#createfinetuningjob) | **POST** /fine_tuning/jobs | Creates a fine-tuning job which begins the process of creating a new model from a given dataset.  Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete.  [Learn more about fine-tuning](/docs/guides/fine-tuning)  |
+| *FineTuningApi* | [**deleteFineTuningCheckpointPermission**](docs/FineTuningApi.md#deletefinetuningcheckpointpermission) | **DELETE** /fine_tuning/checkpoints/{permission_id}/permissions | **NOTE:** This endpoint requires an [admin API key](../admin-api-keys).  Organization owners can use this endpoint to delete a permission for a fine-tuned model checkpoint.  |
+| *FineTuningApi* | [**listFineTuningCheckpointPermissions**](docs/FineTuningApi.md#listfinetuningcheckpointpermissions) | **GET** /fine_tuning/checkpoints/{permission_id}/permissions | **NOTE:** This endpoint requires an [admin API key](../admin-api-keys).  Organization owners can use this endpoint to view all permissions for a fine-tuned model checkpoint.  |
 | *FineTuningApi* | [**listFineTuningEvents**](docs/FineTuningApi.md#listfinetuningevents) | **GET** /fine_tuning/jobs/{fine_tuning_job_id}/events | Get status updates for a fine-tuning job.  |
 | *FineTuningApi* | [**listFineTuningJobCheckpoints**](docs/FineTuningApi.md#listfinetuningjobcheckpoints) | **GET** /fine_tuning/jobs/{fine_tuning_job_id}/checkpoints | List checkpoints for a fine-tuning job.  |
 | *FineTuningApi* | [**listPaginatedFineTuningJobs**](docs/FineTuningApi.md#listpaginatedfinetuningjobs) | **GET** /fine_tuning/jobs | List your organization's fine-tuning jobs  |
@@ -126,10 +134,15 @@ All URIs are relative to *https://api.openai.com/v1*
 | *ProjectsApi* | [**retrieveProjectUser**](docs/ProjectsApi.md#retrieveprojectuser) | **GET** /organization/projects/{project_id}/users/{user_id} | Retrieves a user in the project. |
 | *ProjectsApi* | [**updateProjectRateLimits**](docs/ProjectsApi.md#updateprojectratelimits) | **POST** /organization/projects/{project_id}/rate_limits/{rate_limit_id} | Updates a project rate limit. |
 | *RealtimeApi* | [**createRealtimeSession**](docs/RealtimeApi.md#createrealtimesession) | **POST** /realtime/sessions | Create an ephemeral API token for use in client-side applications with the Realtime API. Can be configured with the same session parameters as the `session.update` client event.  It responds with a session object, plus a `client_secret` key which contains a usable ephemeral API token that can be used to authenticate browser clients for the Realtime API.  |
+| *RealtimeApi* | [**createRealtimeTranscriptionSession**](docs/RealtimeApi.md#createrealtimetranscriptionsession) | **POST** /realtime/transcription_sessions | Create an ephemeral API token for use in client-side applications with the Realtime API specifically for realtime transcriptions.  Can be configured with the same session parameters as the `transcription_session.update` client event.  It responds with a session object, plus a `client_secret` key which contains a usable ephemeral API token that can be used to authenticate browser clients for the Realtime API.  |
+| *ResponsesApi* | [**createResponse**](docs/ResponsesApi.md#createresponse) | **POST** /responses | Creates a model response. Provide [text](/docs/guides/text) or [image](/docs/guides/images) inputs to generate [text](/docs/guides/text) or [JSON](/docs/guides/structured-outputs) outputs. Have the model call your own [custom code](/docs/guides/function-calling) or use built-in [tools](/docs/guides/tools) like [web search](/docs/guides/tools-web-search) or [file search](/docs/guides/tools-file-search) to use your own data as input for the model's response.  |
+| *ResponsesApi* | [**deleteResponse**](docs/ResponsesApi.md#deleteresponse) | **DELETE** /responses/{response_id} | Deletes a model response with the given ID.  |
+| *ResponsesApi* | [**getResponse**](docs/ResponsesApi.md#getresponse) | **GET** /responses/{response_id} | Retrieves a model response with the given ID.  |
+| *ResponsesApi* | [**listInputItems**](docs/ResponsesApi.md#listinputitems) | **GET** /responses/{response_id}/input_items | Returns a list of input items for a given response. |
 | *UploadsApi* | [**addUploadPart**](docs/UploadsApi.md#adduploadpart) | **POST** /uploads/{upload_id}/parts | Adds a [Part](/docs/api-reference/uploads/part-object) to an [Upload](/docs/api-reference/uploads/object) object. A Part represents a chunk of bytes from the file you are trying to upload.   Each Part can be at most 64 MB, and you can add Parts until you hit the Upload maximum of 8 GB.  It is possible to add multiple Parts in parallel. You can decide the intended order of the Parts when you [complete the Upload](/docs/api-reference/uploads/complete).  |
 | *UploadsApi* | [**cancelUpload**](docs/UploadsApi.md#cancelupload) | **POST** /uploads/{upload_id}/cancel | Cancels the Upload. No Parts may be added after an Upload is cancelled.  |
 | *UploadsApi* | [**completeUpload**](docs/UploadsApi.md#completeupload) | **POST** /uploads/{upload_id}/complete | Completes the [Upload](/docs/api-reference/uploads/object).   Within the returned Upload object, there is a nested [File](/docs/api-reference/files/object) object that is ready to use in the rest of the platform.  You can specify the order of the Parts by passing in an ordered list of the Part IDs.  The number of bytes uploaded upon completion must match the number of bytes initially specified when creating the Upload object. No Parts may be added after an Upload is completed.  |
-| *UploadsApi* | [**createUpload**](docs/UploadsApi.md#createupload) | **POST** /uploads | Creates an intermediate [Upload](/docs/api-reference/uploads/object) object that you can add [Parts](/docs/api-reference/uploads/part-object) to. Currently, an Upload can accept at most 8 GB in total and expires after an hour after you create it.  Once you complete the Upload, we will create a [File](/docs/api-reference/files/object) object that contains all the parts you uploaded. This File is usable in the rest of our platform as a regular File object.  For certain `purpose`s, the correct `mime_type` must be specified. Please refer to documentation for the supported MIME types for your use case: - [Assistants](/docs/assistants/tools/file-search#supported-files)  For guidance on the proper filename extensions for each purpose, please follow the documentation on [creating a File](/docs/api-reference/files/create).  |
+| *UploadsApi* | [**createUpload**](docs/UploadsApi.md#createupload) | **POST** /uploads | Creates an intermediate [Upload](/docs/api-reference/uploads/object) object that you can add [Parts](/docs/api-reference/uploads/part-object) to. Currently, an Upload can accept at most 8 GB in total and expires after an hour after you create it.  Once you complete the Upload, we will create a [File](/docs/api-reference/files/object) object that contains all the parts you uploaded. This File is usable in the rest of our platform as a regular File object.  For certain `purpose` values, the correct `mime_type` must be specified.  Please refer to documentation for the  [supported MIME types for your use case](/docs/assistants/tools/file-search#supported-files).  For guidance on the proper filename extensions for each purpose, please follow the documentation on [creating a File](/docs/api-reference/files/create).  |
 | *UsageApi* | [**usageAudioSpeeches**](docs/UsageApi.md#usageaudiospeeches) | **GET** /organization/usage/audio_speeches | Get audio speeches usage details for the organization. |
 | *UsageApi* | [**usageAudioTranscriptions**](docs/UsageApi.md#usageaudiotranscriptions) | **GET** /organization/usage/audio_transcriptions | Get audio transcriptions usage details for the organization. |
 | *UsageApi* | [**usageCodeInterpreterSessions**](docs/UsageApi.md#usagecodeinterpretersessions) | **GET** /organization/usage/code_interpreter_sessions | Get code interpreter sessions usage details for the organization. |
@@ -156,6 +169,9 @@ All URIs are relative to *https://api.openai.com/v1*
 | *VectorStoresApi* | [**listVectorStoreFiles**](docs/VectorStoresApi.md#listvectorstorefiles) | **GET** /vector_stores/{vector_store_id}/files | Returns a list of vector store files. |
 | *VectorStoresApi* | [**listVectorStores**](docs/VectorStoresApi.md#listvectorstores) | **GET** /vector_stores | Returns a list of vector stores. |
 | *VectorStoresApi* | [**modifyVectorStore**](docs/VectorStoresApi.md#modifyvectorstore) | **POST** /vector_stores/{vector_store_id} | Modifies a vector store. |
+| *VectorStoresApi* | [**retrieveVectorStoreFileContent**](docs/VectorStoresApi.md#retrievevectorstorefilecontent) | **GET** /vector_stores/{vector_store_id}/files/{file_id}/content | Retrieve the parsed contents of a vector store file. |
+| *VectorStoresApi* | [**searchVectorStore**](docs/VectorStoresApi.md#searchvectorstore) | **POST** /vector_stores/{vector_store_id}/search | Search a vector store for relevant chunks based on a query and file attributes filter. |
+| *VectorStoresApi* | [**updateVectorStoreFileAttributes**](docs/VectorStoresApi.md#updatevectorstorefileattributes) | **POST** /vector_stores/{vector_store_id}/files/{file_id} | Update attributes on a vector store file. |
 
 
 <a id="documentation-for-models"></a>
@@ -165,10 +181,10 @@ All URIs are relative to *https://api.openai.com/v1*
  - [com.openai.models.AdminApiKeyOwner](docs/AdminApiKeyOwner.md)
  - [com.openai.models.AdminApiKeysCreateRequest](docs/AdminApiKeysCreateRequest.md)
  - [com.openai.models.AdminApiKeysDelete200Response](docs/AdminApiKeysDelete200Response.md)
+ - [com.openai.models.Annotation](docs/Annotation.md)
  - [com.openai.models.ApiKeyList](docs/ApiKeyList.md)
  - [com.openai.models.ArrayOfContentPartsInner](docs/ArrayOfContentPartsInner.md)
  - [com.openai.models.AssistantObject](docs/AssistantObject.md)
- - [com.openai.models.AssistantObjectResponseFormat](docs/AssistantObjectResponseFormat.md)
  - [com.openai.models.AssistantObjectToolResources](docs/AssistantObjectToolResources.md)
  - [com.openai.models.AssistantObjectToolResourcesCodeInterpreter](docs/AssistantObjectToolResourcesCodeInterpreter.md)
  - [com.openai.models.AssistantObjectToolResourcesFileSearch](docs/AssistantObjectToolResourcesFileSearch.md)
@@ -233,8 +249,12 @@ All URIs are relative to *https://api.openai.com/v1*
  - [com.openai.models.BatchRequestOutput](docs/BatchRequestOutput.md)
  - [com.openai.models.BatchRequestOutputError](docs/BatchRequestOutputError.md)
  - [com.openai.models.BatchRequestOutputResponse](docs/BatchRequestOutputResponse.md)
+ - [com.openai.models.ChatCompletionDeleted](docs/ChatCompletionDeleted.md)
  - [com.openai.models.ChatCompletionFunctionCallOption](docs/ChatCompletionFunctionCallOption.md)
  - [com.openai.models.ChatCompletionFunctions](docs/ChatCompletionFunctions.md)
+ - [com.openai.models.ChatCompletionList](docs/ChatCompletionList.md)
+ - [com.openai.models.ChatCompletionMessageList](docs/ChatCompletionMessageList.md)
+ - [com.openai.models.ChatCompletionMessageListDataInner](docs/ChatCompletionMessageListDataInner.md)
  - [com.openai.models.ChatCompletionMessageToolCall](docs/ChatCompletionMessageToolCall.md)
  - [com.openai.models.ChatCompletionMessageToolCallChunk](docs/ChatCompletionMessageToolCallChunk.md)
  - [com.openai.models.ChatCompletionMessageToolCallChunkFunction](docs/ChatCompletionMessageToolCallChunkFunction.md)
@@ -251,6 +271,8 @@ All URIs are relative to *https://api.openai.com/v1*
  - [com.openai.models.ChatCompletionRequestMessage](docs/ChatCompletionRequestMessage.md)
  - [com.openai.models.ChatCompletionRequestMessageContentPartAudio](docs/ChatCompletionRequestMessageContentPartAudio.md)
  - [com.openai.models.ChatCompletionRequestMessageContentPartAudioInputAudio](docs/ChatCompletionRequestMessageContentPartAudioInputAudio.md)
+ - [com.openai.models.ChatCompletionRequestMessageContentPartFile](docs/ChatCompletionRequestMessageContentPartFile.md)
+ - [com.openai.models.ChatCompletionRequestMessageContentPartFileFile](docs/ChatCompletionRequestMessageContentPartFileFile.md)
  - [com.openai.models.ChatCompletionRequestMessageContentPartImage](docs/ChatCompletionRequestMessageContentPartImage.md)
  - [com.openai.models.ChatCompletionRequestMessageContentPartImageImageUrl](docs/ChatCompletionRequestMessageContentPartImageImageUrl.md)
  - [com.openai.models.ChatCompletionRequestMessageContentPartRefusal](docs/ChatCompletionRequestMessageContentPartRefusal.md)
@@ -265,6 +287,8 @@ All URIs are relative to *https://api.openai.com/v1*
  - [com.openai.models.ChatCompletionRequestUserMessageContent](docs/ChatCompletionRequestUserMessageContent.md)
  - [com.openai.models.ChatCompletionRequestUserMessageContentPart](docs/ChatCompletionRequestUserMessageContentPart.md)
  - [com.openai.models.ChatCompletionResponseMessage](docs/ChatCompletionResponseMessage.md)
+ - [com.openai.models.ChatCompletionResponseMessageAnnotationsInner](docs/ChatCompletionResponseMessageAnnotationsInner.md)
+ - [com.openai.models.ChatCompletionResponseMessageAnnotationsInnerUrlCitation](docs/ChatCompletionResponseMessageAnnotationsInnerUrlCitation.md)
  - [com.openai.models.ChatCompletionResponseMessageAudio](docs/ChatCompletionResponseMessageAudio.md)
  - [com.openai.models.ChatCompletionResponseMessageFunctionCall](docs/ChatCompletionResponseMessageFunctionCall.md)
  - [com.openai.models.ChatCompletionRole](docs/ChatCompletionRole.md)
@@ -276,10 +300,30 @@ All URIs are relative to *https://api.openai.com/v1*
  - [com.openai.models.ChatCompletionTool](docs/ChatCompletionTool.md)
  - [com.openai.models.ChatCompletionToolChoiceOption](docs/ChatCompletionToolChoiceOption.md)
  - [com.openai.models.ChunkingStrategyRequestParam](docs/ChunkingStrategyRequestParam.md)
+ - [com.openai.models.Click](docs/Click.md)
+ - [com.openai.models.CodeInterpreterFileOutput](docs/CodeInterpreterFileOutput.md)
+ - [com.openai.models.CodeInterpreterFileOutputFilesInner](docs/CodeInterpreterFileOutputFilesInner.md)
+ - [com.openai.models.CodeInterpreterTextOutput](docs/CodeInterpreterTextOutput.md)
+ - [com.openai.models.CodeInterpreterTool](docs/CodeInterpreterTool.md)
+ - [com.openai.models.CodeInterpreterToolCall](docs/CodeInterpreterToolCall.md)
+ - [com.openai.models.CodeInterpreterToolOutput](docs/CodeInterpreterToolOutput.md)
+ - [com.openai.models.ComparisonFilter](docs/ComparisonFilter.md)
+ - [com.openai.models.ComparisonFilterValue](docs/ComparisonFilterValue.md)
  - [com.openai.models.CompleteUploadRequest](docs/CompleteUploadRequest.md)
  - [com.openai.models.CompletionUsage](docs/CompletionUsage.md)
  - [com.openai.models.CompletionUsageCompletionTokensDetails](docs/CompletionUsageCompletionTokensDetails.md)
  - [com.openai.models.CompletionUsagePromptTokensDetails](docs/CompletionUsagePromptTokensDetails.md)
+ - [com.openai.models.CompoundFilter](docs/CompoundFilter.md)
+ - [com.openai.models.CompoundFilterFiltersInner](docs/CompoundFilterFiltersInner.md)
+ - [com.openai.models.ComputerAction](docs/ComputerAction.md)
+ - [com.openai.models.ComputerScreenshotImage](docs/ComputerScreenshotImage.md)
+ - [com.openai.models.ComputerTool](docs/ComputerTool.md)
+ - [com.openai.models.ComputerToolCall](docs/ComputerToolCall.md)
+ - [com.openai.models.ComputerToolCallOutput](docs/ComputerToolCallOutput.md)
+ - [com.openai.models.ComputerToolCallOutputResource](docs/ComputerToolCallOutputResource.md)
+ - [com.openai.models.ComputerToolCallSafetyCheck](docs/ComputerToolCallSafetyCheck.md)
+ - [com.openai.models.Content](docs/Content.md)
+ - [com.openai.models.Coordinate](docs/Coordinate.md)
  - [com.openai.models.CostsResult](docs/CostsResult.md)
  - [com.openai.models.CostsResultAmount](docs/CostsResultAmount.md)
  - [com.openai.models.CreateAssistantRequest](docs/CreateAssistantRequest.md)
@@ -293,22 +337,18 @@ All URIs are relative to *https://api.openai.com/v1*
  - [com.openai.models.CreateChatCompletionFunctionResponse](docs/CreateChatCompletionFunctionResponse.md)
  - [com.openai.models.CreateChatCompletionFunctionResponseChoicesInner](docs/CreateChatCompletionFunctionResponseChoicesInner.md)
  - [com.openai.models.CreateChatCompletionRequest](docs/CreateChatCompletionRequest.md)
- - [com.openai.models.CreateChatCompletionRequestAudio](docs/CreateChatCompletionRequestAudio.md)
- - [com.openai.models.CreateChatCompletionRequestFunctionCall](docs/CreateChatCompletionRequestFunctionCall.md)
- - [com.openai.models.CreateChatCompletionRequestModel](docs/CreateChatCompletionRequestModel.md)
- - [com.openai.models.CreateChatCompletionRequestPrediction](docs/CreateChatCompletionRequestPrediction.md)
- - [com.openai.models.CreateChatCompletionRequestResponseFormat](docs/CreateChatCompletionRequestResponseFormat.md)
- - [com.openai.models.CreateChatCompletionRequestStop](docs/CreateChatCompletionRequestStop.md)
+ - [com.openai.models.CreateChatCompletionRequestAllOfAudio](docs/CreateChatCompletionRequestAllOfAudio.md)
+ - [com.openai.models.CreateChatCompletionRequestAllOfFunctionCall](docs/CreateChatCompletionRequestAllOfFunctionCall.md)
+ - [com.openai.models.CreateChatCompletionRequestAllOfPrediction](docs/CreateChatCompletionRequestAllOfPrediction.md)
+ - [com.openai.models.CreateChatCompletionRequestAllOfResponseFormat](docs/CreateChatCompletionRequestAllOfResponseFormat.md)
  - [com.openai.models.CreateChatCompletionResponse](docs/CreateChatCompletionResponse.md)
  - [com.openai.models.CreateChatCompletionResponseChoicesInner](docs/CreateChatCompletionResponseChoicesInner.md)
  - [com.openai.models.CreateChatCompletionResponseChoicesInnerLogprobs](docs/CreateChatCompletionResponseChoicesInnerLogprobs.md)
  - [com.openai.models.CreateChatCompletionStreamResponse](docs/CreateChatCompletionStreamResponse.md)
  - [com.openai.models.CreateChatCompletionStreamResponseChoicesInner](docs/CreateChatCompletionStreamResponseChoicesInner.md)
- - [com.openai.models.CreateChatCompletionStreamResponseUsage](docs/CreateChatCompletionStreamResponseUsage.md)
  - [com.openai.models.CreateCompletionRequest](docs/CreateCompletionRequest.md)
  - [com.openai.models.CreateCompletionRequestModel](docs/CreateCompletionRequestModel.md)
  - [com.openai.models.CreateCompletionRequestPrompt](docs/CreateCompletionRequestPrompt.md)
- - [com.openai.models.CreateCompletionRequestStop](docs/CreateCompletionRequestStop.md)
  - [com.openai.models.CreateCompletionResponse](docs/CreateCompletionResponse.md)
  - [com.openai.models.CreateCompletionResponseChoicesInner](docs/CreateCompletionResponseChoicesInner.md)
  - [com.openai.models.CreateCompletionResponseChoicesInnerLogprobs](docs/CreateCompletionResponseChoicesInnerLogprobs.md)
@@ -317,6 +357,7 @@ All URIs are relative to *https://api.openai.com/v1*
  - [com.openai.models.CreateEmbeddingRequestModel](docs/CreateEmbeddingRequestModel.md)
  - [com.openai.models.CreateEmbeddingResponse](docs/CreateEmbeddingResponse.md)
  - [com.openai.models.CreateEmbeddingResponseUsage](docs/CreateEmbeddingResponseUsage.md)
+ - [com.openai.models.CreateFineTuningCheckpointPermissionRequest](docs/CreateFineTuningCheckpointPermissionRequest.md)
  - [com.openai.models.CreateFineTuningJobRequest](docs/CreateFineTuningJobRequest.md)
  - [com.openai.models.CreateFineTuningJobRequestHyperparameters](docs/CreateFineTuningJobRequestHyperparameters.md)
  - [com.openai.models.CreateFineTuningJobRequestHyperparametersBatchSize](docs/CreateFineTuningJobRequestHyperparametersBatchSize.md)
@@ -333,6 +374,7 @@ All URIs are relative to *https://api.openai.com/v1*
  - [com.openai.models.CreateMessageRequestAttachmentsInner](docs/CreateMessageRequestAttachmentsInner.md)
  - [com.openai.models.CreateMessageRequestAttachmentsInnerToolsInner](docs/CreateMessageRequestAttachmentsInnerToolsInner.md)
  - [com.openai.models.CreateMessageRequestContent](docs/CreateMessageRequestContent.md)
+ - [com.openai.models.CreateModelResponseProperties](docs/CreateModelResponseProperties.md)
  - [com.openai.models.CreateModerationRequest](docs/CreateModerationRequest.md)
  - [com.openai.models.CreateModerationRequestInput](docs/CreateModerationRequestInput.md)
  - [com.openai.models.CreateModerationRequestInputOneOfInner](docs/CreateModerationRequestInputOneOfInner.md)
@@ -345,6 +387,8 @@ All URIs are relative to *https://api.openai.com/v1*
  - [com.openai.models.CreateModerationResponseResultsInnerCategories](docs/CreateModerationResponseResultsInnerCategories.md)
  - [com.openai.models.CreateModerationResponseResultsInnerCategoryAppliedInputTypes](docs/CreateModerationResponseResultsInnerCategoryAppliedInputTypes.md)
  - [com.openai.models.CreateModerationResponseResultsInnerCategoryScores](docs/CreateModerationResponseResultsInnerCategoryScores.md)
+ - [com.openai.models.CreateResponse](docs/CreateResponse.md)
+ - [com.openai.models.CreateResponseAllOfInput](docs/CreateResponseAllOfInput.md)
  - [com.openai.models.CreateRunRequest](docs/CreateRunRequest.md)
  - [com.openai.models.CreateRunRequestModel](docs/CreateRunRequestModel.md)
  - [com.openai.models.CreateRunRequestToolChoice](docs/CreateRunRequestToolChoice.md)
@@ -362,8 +406,10 @@ All URIs are relative to *https://api.openai.com/v1*
  - [com.openai.models.CreateTranscription200Response](docs/CreateTranscription200Response.md)
  - [com.openai.models.CreateTranscriptionRequestModel](docs/CreateTranscriptionRequestModel.md)
  - [com.openai.models.CreateTranscriptionResponseJson](docs/CreateTranscriptionResponseJson.md)
+ - [com.openai.models.CreateTranscriptionResponseStreamEvent](docs/CreateTranscriptionResponseStreamEvent.md)
  - [com.openai.models.CreateTranscriptionResponseVerboseJson](docs/CreateTranscriptionResponseVerboseJson.md)
  - [com.openai.models.CreateTranslation200Response](docs/CreateTranslation200Response.md)
+ - [com.openai.models.CreateTranslationRequestModel](docs/CreateTranslationRequestModel.md)
  - [com.openai.models.CreateTranslationResponseJson](docs/CreateTranslationResponseJson.md)
  - [com.openai.models.CreateTranslationResponseVerboseJson](docs/CreateTranslationResponseVerboseJson.md)
  - [com.openai.models.CreateUploadRequest](docs/CreateUploadRequest.md)
@@ -374,17 +420,30 @@ All URIs are relative to *https://api.openai.com/v1*
  - [com.openai.models.DefaultProjectErrorResponse](docs/DefaultProjectErrorResponse.md)
  - [com.openai.models.DeleteAssistantResponse](docs/DeleteAssistantResponse.md)
  - [com.openai.models.DeleteFileResponse](docs/DeleteFileResponse.md)
+ - [com.openai.models.DeleteFineTuningCheckpointPermissionResponse](docs/DeleteFineTuningCheckpointPermissionResponse.md)
  - [com.openai.models.DeleteMessageResponse](docs/DeleteMessageResponse.md)
  - [com.openai.models.DeleteModelResponse](docs/DeleteModelResponse.md)
  - [com.openai.models.DeleteThreadResponse](docs/DeleteThreadResponse.md)
  - [com.openai.models.DeleteVectorStoreFileResponse](docs/DeleteVectorStoreFileResponse.md)
  - [com.openai.models.DeleteVectorStoreResponse](docs/DeleteVectorStoreResponse.md)
  - [com.openai.models.DoneEvent](docs/DoneEvent.md)
+ - [com.openai.models.DoubleClick](docs/DoubleClick.md)
+ - [com.openai.models.Drag](docs/Drag.md)
+ - [com.openai.models.EasyInputMessage](docs/EasyInputMessage.md)
+ - [com.openai.models.EasyInputMessageContent](docs/EasyInputMessageContent.md)
  - [com.openai.models.Embedding](docs/Embedding.md)
  - [com.openai.models.Error](docs/Error.md)
  - [com.openai.models.ErrorEvent](docs/ErrorEvent.md)
  - [com.openai.models.ErrorResponse](docs/ErrorResponse.md)
+ - [com.openai.models.FileCitation](docs/FileCitation.md)
+ - [com.openai.models.FilePath](docs/FilePath.md)
+ - [com.openai.models.FileSearchRanker](docs/FileSearchRanker.md)
  - [com.openai.models.FileSearchRankingOptions](docs/FileSearchRankingOptions.md)
+ - [com.openai.models.FileSearchTool](docs/FileSearchTool.md)
+ - [com.openai.models.FileSearchToolCall](docs/FileSearchToolCall.md)
+ - [com.openai.models.FileSearchToolCallResultsInner](docs/FileSearchToolCallResultsInner.md)
+ - [com.openai.models.FileSearchToolFilters](docs/FileSearchToolFilters.md)
+ - [com.openai.models.FileSearchToolRankingOptions](docs/FileSearchToolRankingOptions.md)
  - [com.openai.models.FineTuneChatCompletionRequestAssistantMessage](docs/FineTuneChatCompletionRequestAssistantMessage.md)
  - [com.openai.models.FineTuneChatRequestInput](docs/FineTuneChatRequestInput.md)
  - [com.openai.models.FineTuneChatRequestInputMessagesInner](docs/FineTuneChatRequestInputMessagesInner.md)
@@ -401,6 +460,7 @@ All URIs are relative to *https://api.openai.com/v1*
  - [com.openai.models.FineTunePreferenceRequestInputPreferredCompletionInner](docs/FineTunePreferenceRequestInputPreferredCompletionInner.md)
  - [com.openai.models.FineTuneSupervisedMethod](docs/FineTuneSupervisedMethod.md)
  - [com.openai.models.FineTuneSupervisedMethodHyperparameters](docs/FineTuneSupervisedMethodHyperparameters.md)
+ - [com.openai.models.FineTuningCheckpointPermission](docs/FineTuningCheckpointPermission.md)
  - [com.openai.models.FineTuningIntegration](docs/FineTuningIntegration.md)
  - [com.openai.models.FineTuningJob](docs/FineTuningJob.md)
  - [com.openai.models.FineTuningJobCheckpoint](docs/FineTuningJobCheckpoint.md)
@@ -410,19 +470,39 @@ All URIs are relative to *https://api.openai.com/v1*
  - [com.openai.models.FineTuningJobHyperparameters](docs/FineTuningJobHyperparameters.md)
  - [com.openai.models.FineTuningJobIntegrationsInner](docs/FineTuningJobIntegrationsInner.md)
  - [com.openai.models.FunctionObject](docs/FunctionObject.md)
+ - [com.openai.models.FunctionTool](docs/FunctionTool.md)
+ - [com.openai.models.FunctionToolCall](docs/FunctionToolCall.md)
+ - [com.openai.models.FunctionToolCallOutput](docs/FunctionToolCallOutput.md)
+ - [com.openai.models.FunctionToolCallOutputResource](docs/FunctionToolCallOutputResource.md)
+ - [com.openai.models.FunctionToolCallResource](docs/FunctionToolCallResource.md)
  - [com.openai.models.Image](docs/Image.md)
  - [com.openai.models.ImagesResponse](docs/ImagesResponse.md)
+ - [com.openai.models.Includable](docs/Includable.md)
+ - [com.openai.models.InputAudio](docs/InputAudio.md)
+ - [com.openai.models.InputContent](docs/InputContent.md)
+ - [com.openai.models.InputFile](docs/InputFile.md)
+ - [com.openai.models.InputImage](docs/InputImage.md)
+ - [com.openai.models.InputItem](docs/InputItem.md)
+ - [com.openai.models.InputMessage](docs/InputMessage.md)
+ - [com.openai.models.InputMessageResource](docs/InputMessageResource.md)
+ - [com.openai.models.InputText](docs/InputText.md)
  - [com.openai.models.Invite](docs/Invite.md)
  - [com.openai.models.InviteDeleteResponse](docs/InviteDeleteResponse.md)
  - [com.openai.models.InviteListResponse](docs/InviteListResponse.md)
  - [com.openai.models.InviteProjectsInner](docs/InviteProjectsInner.md)
  - [com.openai.models.InviteRequest](docs/InviteRequest.md)
  - [com.openai.models.InviteRequestProjectsInner](docs/InviteRequestProjectsInner.md)
+ - [com.openai.models.Item](docs/Item.md)
+ - [com.openai.models.ItemReference](docs/ItemReference.md)
+ - [com.openai.models.ItemResource](docs/ItemResource.md)
+ - [com.openai.models.JSONSchema](docs/JSONSchema.md)
+ - [com.openai.models.KeyPress](docs/KeyPress.md)
  - [com.openai.models.ListAssistantsResponse](docs/ListAssistantsResponse.md)
  - [com.openai.models.ListAuditLogsEffectiveAtParameter](docs/ListAuditLogsEffectiveAtParameter.md)
  - [com.openai.models.ListAuditLogsResponse](docs/ListAuditLogsResponse.md)
  - [com.openai.models.ListBatchesResponse](docs/ListBatchesResponse.md)
  - [com.openai.models.ListFilesResponse](docs/ListFilesResponse.md)
+ - [com.openai.models.ListFineTuningCheckpointPermissionResponse](docs/ListFineTuningCheckpointPermissionResponse.md)
  - [com.openai.models.ListFineTuningJobCheckpointsResponse](docs/ListFineTuningJobCheckpointsResponse.md)
  - [com.openai.models.ListFineTuningJobEventsResponse](docs/ListFineTuningJobEventsResponse.md)
  - [com.openai.models.ListMessagesResponse](docs/ListMessagesResponse.md)
@@ -433,6 +513,8 @@ All URIs are relative to *https://api.openai.com/v1*
  - [com.openai.models.ListThreadsResponse](docs/ListThreadsResponse.md)
  - [com.openai.models.ListVectorStoreFilesResponse](docs/ListVectorStoreFilesResponse.md)
  - [com.openai.models.ListVectorStoresResponse](docs/ListVectorStoresResponse.md)
+ - [com.openai.models.LogProb](docs/LogProb.md)
+ - [com.openai.models.LogProbProperties](docs/LogProbProperties.md)
  - [com.openai.models.MessageContentImageFileObject](docs/MessageContentImageFileObject.md)
  - [com.openai.models.MessageContentImageFileObjectImageFile](docs/MessageContentImageFileObjectImageFile.md)
  - [com.openai.models.MessageContentImageUrlObject](docs/MessageContentImageUrlObject.md)
@@ -471,6 +553,10 @@ All URIs are relative to *https://api.openai.com/v1*
  - [com.openai.models.MessageStreamEventOneOf3](docs/MessageStreamEventOneOf3.md)
  - [com.openai.models.MessageStreamEventOneOf4](docs/MessageStreamEventOneOf4.md)
  - [com.openai.models.Model](docs/Model.md)
+ - [com.openai.models.ModelIds](docs/ModelIds.md)
+ - [com.openai.models.ModelIdsResponses](docs/ModelIdsResponses.md)
+ - [com.openai.models.ModelIdsShared](docs/ModelIdsShared.md)
+ - [com.openai.models.ModelResponseProperties](docs/ModelResponseProperties.md)
  - [com.openai.models.ModifyAssistantRequest](docs/ModifyAssistantRequest.md)
  - [com.openai.models.ModifyAssistantRequestModel](docs/ModifyAssistantRequestModel.md)
  - [com.openai.models.ModifyAssistantRequestToolResources](docs/ModifyAssistantRequestToolResources.md)
@@ -481,8 +567,14 @@ All URIs are relative to *https://api.openai.com/v1*
  - [com.openai.models.ModifyThreadRequest](docs/ModifyThreadRequest.md)
  - [com.openai.models.ModifyThreadRequestToolResources](docs/ModifyThreadRequestToolResources.md)
  - [com.openai.models.ModifyThreadRequestToolResourcesFileSearch](docs/ModifyThreadRequestToolResourcesFileSearch.md)
+ - [com.openai.models.Move](docs/Move.md)
  - [com.openai.models.OpenAIFile](docs/OpenAIFile.md)
  - [com.openai.models.OtherChunkingStrategyResponseParam](docs/OtherChunkingStrategyResponseParam.md)
+ - [com.openai.models.OutputAudio](docs/OutputAudio.md)
+ - [com.openai.models.OutputContent](docs/OutputContent.md)
+ - [com.openai.models.OutputItem](docs/OutputItem.md)
+ - [com.openai.models.OutputMessage](docs/OutputMessage.md)
+ - [com.openai.models.OutputText](docs/OutputText.md)
  - [com.openai.models.PredictionContent](docs/PredictionContent.md)
  - [com.openai.models.PredictionContentContent](docs/PredictionContentContent.md)
  - [com.openai.models.Project](docs/Project.md)
@@ -507,8 +599,10 @@ All URIs are relative to *https://api.openai.com/v1*
  - [com.openai.models.ProjectUserDeleteResponse](docs/ProjectUserDeleteResponse.md)
  - [com.openai.models.ProjectUserListResponse](docs/ProjectUserListResponse.md)
  - [com.openai.models.ProjectUserUpdateRequest](docs/ProjectUserUpdateRequest.md)
+ - [com.openai.models.RealtimeClientEvent](docs/RealtimeClientEvent.md)
  - [com.openai.models.RealtimeClientEventConversationItemCreate](docs/RealtimeClientEventConversationItemCreate.md)
  - [com.openai.models.RealtimeClientEventConversationItemDelete](docs/RealtimeClientEventConversationItemDelete.md)
+ - [com.openai.models.RealtimeClientEventConversationItemRetrieve](docs/RealtimeClientEventConversationItemRetrieve.md)
  - [com.openai.models.RealtimeClientEventConversationItemTruncate](docs/RealtimeClientEventConversationItemTruncate.md)
  - [com.openai.models.RealtimeClientEventInputAudioBufferAppend](docs/RealtimeClientEventInputAudioBufferAppend.md)
  - [com.openai.models.RealtimeClientEventInputAudioBufferClear](docs/RealtimeClientEventInputAudioBufferClear.md)
@@ -516,6 +610,7 @@ All URIs are relative to *https://api.openai.com/v1*
  - [com.openai.models.RealtimeClientEventResponseCancel](docs/RealtimeClientEventResponseCancel.md)
  - [com.openai.models.RealtimeClientEventResponseCreate](docs/RealtimeClientEventResponseCreate.md)
  - [com.openai.models.RealtimeClientEventSessionUpdate](docs/RealtimeClientEventSessionUpdate.md)
+ - [com.openai.models.RealtimeClientEventTranscriptionSessionUpdate](docs/RealtimeClientEventTranscriptionSessionUpdate.md)
  - [com.openai.models.RealtimeConversationItem](docs/RealtimeConversationItem.md)
  - [com.openai.models.RealtimeConversationItemContentInner](docs/RealtimeConversationItemContentInner.md)
  - [com.openai.models.RealtimeConversationItemWithReference](docs/RealtimeConversationItemWithReference.md)
@@ -530,13 +625,16 @@ All URIs are relative to *https://api.openai.com/v1*
  - [com.openai.models.RealtimeResponseUsage](docs/RealtimeResponseUsage.md)
  - [com.openai.models.RealtimeResponseUsageInputTokenDetails](docs/RealtimeResponseUsageInputTokenDetails.md)
  - [com.openai.models.RealtimeResponseUsageOutputTokenDetails](docs/RealtimeResponseUsageOutputTokenDetails.md)
+ - [com.openai.models.RealtimeServerEvent](docs/RealtimeServerEvent.md)
  - [com.openai.models.RealtimeServerEventConversationCreated](docs/RealtimeServerEventConversationCreated.md)
  - [com.openai.models.RealtimeServerEventConversationCreatedConversation](docs/RealtimeServerEventConversationCreatedConversation.md)
  - [com.openai.models.RealtimeServerEventConversationItemCreated](docs/RealtimeServerEventConversationItemCreated.md)
  - [com.openai.models.RealtimeServerEventConversationItemDeleted](docs/RealtimeServerEventConversationItemDeleted.md)
  - [com.openai.models.RealtimeServerEventConversationItemInputAudioTranscriptionCompleted](docs/RealtimeServerEventConversationItemInputAudioTranscriptionCompleted.md)
+ - [com.openai.models.RealtimeServerEventConversationItemInputAudioTranscriptionDelta](docs/RealtimeServerEventConversationItemInputAudioTranscriptionDelta.md)
  - [com.openai.models.RealtimeServerEventConversationItemInputAudioTranscriptionFailed](docs/RealtimeServerEventConversationItemInputAudioTranscriptionFailed.md)
  - [com.openai.models.RealtimeServerEventConversationItemInputAudioTranscriptionFailedError](docs/RealtimeServerEventConversationItemInputAudioTranscriptionFailedError.md)
+ - [com.openai.models.RealtimeServerEventConversationItemRetrieved](docs/RealtimeServerEventConversationItemRetrieved.md)
  - [com.openai.models.RealtimeServerEventConversationItemTruncated](docs/RealtimeServerEventConversationItemTruncated.md)
  - [com.openai.models.RealtimeServerEventError](docs/RealtimeServerEventError.md)
  - [com.openai.models.RealtimeServerEventErrorError](docs/RealtimeServerEventErrorError.md)
@@ -564,21 +662,74 @@ All URIs are relative to *https://api.openai.com/v1*
  - [com.openai.models.RealtimeServerEventResponseTextDone](docs/RealtimeServerEventResponseTextDone.md)
  - [com.openai.models.RealtimeServerEventSessionCreated](docs/RealtimeServerEventSessionCreated.md)
  - [com.openai.models.RealtimeServerEventSessionUpdated](docs/RealtimeServerEventSessionUpdated.md)
+ - [com.openai.models.RealtimeServerEventTranscriptionSessionUpdated](docs/RealtimeServerEventTranscriptionSessionUpdated.md)
  - [com.openai.models.RealtimeSession](docs/RealtimeSession.md)
  - [com.openai.models.RealtimeSessionCreateRequest](docs/RealtimeSessionCreateRequest.md)
- - [com.openai.models.RealtimeSessionCreateRequestInputAudioTranscription](docs/RealtimeSessionCreateRequestInputAudioTranscription.md)
- - [com.openai.models.RealtimeSessionCreateRequestTurnDetection](docs/RealtimeSessionCreateRequestTurnDetection.md)
  - [com.openai.models.RealtimeSessionCreateResponse](docs/RealtimeSessionCreateResponse.md)
  - [com.openai.models.RealtimeSessionCreateResponseClientSecret](docs/RealtimeSessionCreateResponseClientSecret.md)
+ - [com.openai.models.RealtimeSessionCreateResponseInputAudioTranscription](docs/RealtimeSessionCreateResponseInputAudioTranscription.md)
  - [com.openai.models.RealtimeSessionCreateResponseTurnDetection](docs/RealtimeSessionCreateResponseTurnDetection.md)
+ - [com.openai.models.RealtimeSessionInputAudioNoiseReduction](docs/RealtimeSessionInputAudioNoiseReduction.md)
  - [com.openai.models.RealtimeSessionInputAudioTranscription](docs/RealtimeSessionInputAudioTranscription.md)
- - [com.openai.models.RealtimeSessionModel](docs/RealtimeSessionModel.md)
  - [com.openai.models.RealtimeSessionTurnDetection](docs/RealtimeSessionTurnDetection.md)
+ - [com.openai.models.RealtimeTranscriptionSessionCreateRequest](docs/RealtimeTranscriptionSessionCreateRequest.md)
+ - [com.openai.models.RealtimeTranscriptionSessionCreateRequestInputAudioTranscription](docs/RealtimeTranscriptionSessionCreateRequestInputAudioTranscription.md)
+ - [com.openai.models.RealtimeTranscriptionSessionCreateRequestTurnDetection](docs/RealtimeTranscriptionSessionCreateRequestTurnDetection.md)
+ - [com.openai.models.RealtimeTranscriptionSessionCreateResponse](docs/RealtimeTranscriptionSessionCreateResponse.md)
+ - [com.openai.models.RealtimeTranscriptionSessionCreateResponseClientSecret](docs/RealtimeTranscriptionSessionCreateResponseClientSecret.md)
+ - [com.openai.models.RealtimeTranscriptionSessionCreateResponseInputAudioTranscription](docs/RealtimeTranscriptionSessionCreateResponseInputAudioTranscription.md)
+ - [com.openai.models.Reasoning](docs/Reasoning.md)
  - [com.openai.models.ReasoningEffort](docs/ReasoningEffort.md)
+ - [com.openai.models.ReasoningItem](docs/ReasoningItem.md)
+ - [com.openai.models.ReasoningItemSummaryInner](docs/ReasoningItemSummaryInner.md)
+ - [com.openai.models.Refusal](docs/Refusal.md)
+ - [com.openai.models.Response](docs/Response.md)
+ - [com.openai.models.ResponseAllOfIncompleteDetails](docs/ResponseAllOfIncompleteDetails.md)
+ - [com.openai.models.ResponseAudioDeltaEvent](docs/ResponseAudioDeltaEvent.md)
+ - [com.openai.models.ResponseAudioDoneEvent](docs/ResponseAudioDoneEvent.md)
+ - [com.openai.models.ResponseAudioTranscriptDeltaEvent](docs/ResponseAudioTranscriptDeltaEvent.md)
+ - [com.openai.models.ResponseAudioTranscriptDoneEvent](docs/ResponseAudioTranscriptDoneEvent.md)
+ - [com.openai.models.ResponseCodeInterpreterCallCodeDeltaEvent](docs/ResponseCodeInterpreterCallCodeDeltaEvent.md)
+ - [com.openai.models.ResponseCodeInterpreterCallCodeDoneEvent](docs/ResponseCodeInterpreterCallCodeDoneEvent.md)
+ - [com.openai.models.ResponseCodeInterpreterCallCompletedEvent](docs/ResponseCodeInterpreterCallCompletedEvent.md)
+ - [com.openai.models.ResponseCodeInterpreterCallInProgressEvent](docs/ResponseCodeInterpreterCallInProgressEvent.md)
+ - [com.openai.models.ResponseCodeInterpreterCallInterpretingEvent](docs/ResponseCodeInterpreterCallInterpretingEvent.md)
+ - [com.openai.models.ResponseCompletedEvent](docs/ResponseCompletedEvent.md)
+ - [com.openai.models.ResponseContentPartAddedEvent](docs/ResponseContentPartAddedEvent.md)
+ - [com.openai.models.ResponseContentPartDoneEvent](docs/ResponseContentPartDoneEvent.md)
+ - [com.openai.models.ResponseCreatedEvent](docs/ResponseCreatedEvent.md)
+ - [com.openai.models.ResponseError](docs/ResponseError.md)
+ - [com.openai.models.ResponseErrorCode](docs/ResponseErrorCode.md)
+ - [com.openai.models.ResponseErrorEvent](docs/ResponseErrorEvent.md)
+ - [com.openai.models.ResponseFailedEvent](docs/ResponseFailedEvent.md)
+ - [com.openai.models.ResponseFileSearchCallCompletedEvent](docs/ResponseFileSearchCallCompletedEvent.md)
+ - [com.openai.models.ResponseFileSearchCallInProgressEvent](docs/ResponseFileSearchCallInProgressEvent.md)
+ - [com.openai.models.ResponseFileSearchCallSearchingEvent](docs/ResponseFileSearchCallSearchingEvent.md)
  - [com.openai.models.ResponseFormatJsonObject](docs/ResponseFormatJsonObject.md)
  - [com.openai.models.ResponseFormatJsonSchema](docs/ResponseFormatJsonSchema.md)
- - [com.openai.models.ResponseFormatJsonSchemaJsonSchema](docs/ResponseFormatJsonSchemaJsonSchema.md)
  - [com.openai.models.ResponseFormatText](docs/ResponseFormatText.md)
+ - [com.openai.models.ResponseFunctionCallArgumentsDeltaEvent](docs/ResponseFunctionCallArgumentsDeltaEvent.md)
+ - [com.openai.models.ResponseFunctionCallArgumentsDoneEvent](docs/ResponseFunctionCallArgumentsDoneEvent.md)
+ - [com.openai.models.ResponseInProgressEvent](docs/ResponseInProgressEvent.md)
+ - [com.openai.models.ResponseIncompleteEvent](docs/ResponseIncompleteEvent.md)
+ - [com.openai.models.ResponseItemList](docs/ResponseItemList.md)
+ - [com.openai.models.ResponseOutputItemAddedEvent](docs/ResponseOutputItemAddedEvent.md)
+ - [com.openai.models.ResponseOutputItemDoneEvent](docs/ResponseOutputItemDoneEvent.md)
+ - [com.openai.models.ResponseProperties](docs/ResponseProperties.md)
+ - [com.openai.models.ResponsePropertiesText](docs/ResponsePropertiesText.md)
+ - [com.openai.models.ResponsePropertiesToolChoice](docs/ResponsePropertiesToolChoice.md)
+ - [com.openai.models.ResponseRefusalDeltaEvent](docs/ResponseRefusalDeltaEvent.md)
+ - [com.openai.models.ResponseRefusalDoneEvent](docs/ResponseRefusalDoneEvent.md)
+ - [com.openai.models.ResponseStreamEvent](docs/ResponseStreamEvent.md)
+ - [com.openai.models.ResponseTextAnnotationDeltaEvent](docs/ResponseTextAnnotationDeltaEvent.md)
+ - [com.openai.models.ResponseTextDeltaEvent](docs/ResponseTextDeltaEvent.md)
+ - [com.openai.models.ResponseTextDoneEvent](docs/ResponseTextDoneEvent.md)
+ - [com.openai.models.ResponseUsage](docs/ResponseUsage.md)
+ - [com.openai.models.ResponseUsageInputTokensDetails](docs/ResponseUsageInputTokensDetails.md)
+ - [com.openai.models.ResponseUsageOutputTokensDetails](docs/ResponseUsageOutputTokensDetails.md)
+ - [com.openai.models.ResponseWebSearchCallCompletedEvent](docs/ResponseWebSearchCallCompletedEvent.md)
+ - [com.openai.models.ResponseWebSearchCallInProgressEvent](docs/ResponseWebSearchCallInProgressEvent.md)
+ - [com.openai.models.ResponseWebSearchCallSearchingEvent](docs/ResponseWebSearchCallSearchingEvent.md)
  - [com.openai.models.RunCompletionUsage](docs/RunCompletionUsage.md)
  - [com.openai.models.RunObject](docs/RunObject.md)
  - [com.openai.models.RunObjectIncompleteDetails](docs/RunObjectIncompleteDetails.md)
@@ -643,23 +794,39 @@ All URIs are relative to *https://api.openai.com/v1*
  - [com.openai.models.RunStreamEventOneOf9](docs/RunStreamEventOneOf9.md)
  - [com.openai.models.RunToolCallObject](docs/RunToolCallObject.md)
  - [com.openai.models.RunToolCallObjectFunction](docs/RunToolCallObjectFunction.md)
+ - [com.openai.models.Screenshot](docs/Screenshot.md)
+ - [com.openai.models.Scroll](docs/Scroll.md)
  - [com.openai.models.StaticChunkingStrategy](docs/StaticChunkingStrategy.md)
  - [com.openai.models.StaticChunkingStrategyRequestParam](docs/StaticChunkingStrategyRequestParam.md)
  - [com.openai.models.StaticChunkingStrategyResponseParam](docs/StaticChunkingStrategyResponseParam.md)
  - [com.openai.models.StaticChunkingStrategyStatic](docs/StaticChunkingStrategyStatic.md)
+ - [com.openai.models.StopConfiguration](docs/StopConfiguration.md)
  - [com.openai.models.SubmitToolOutputsRunRequest](docs/SubmitToolOutputsRunRequest.md)
  - [com.openai.models.SubmitToolOutputsRunRequestToolOutputsInner](docs/SubmitToolOutputsRunRequestToolOutputsInner.md)
+ - [com.openai.models.TextResponseFormatConfiguration](docs/TextResponseFormatConfiguration.md)
+ - [com.openai.models.TextResponseFormatJsonSchema](docs/TextResponseFormatJsonSchema.md)
  - [com.openai.models.ThreadObject](docs/ThreadObject.md)
  - [com.openai.models.ThreadStreamEvent](docs/ThreadStreamEvent.md)
  - [com.openai.models.ThreadStreamEventOneOf](docs/ThreadStreamEventOneOf.md)
+ - [com.openai.models.Tool](docs/Tool.md)
+ - [com.openai.models.ToolChoiceFunction](docs/ToolChoiceFunction.md)
+ - [com.openai.models.ToolChoiceOptions](docs/ToolChoiceOptions.md)
+ - [com.openai.models.ToolChoiceTypes](docs/ToolChoiceTypes.md)
+ - [com.openai.models.TranscriptTextDeltaEvent](docs/TranscriptTextDeltaEvent.md)
+ - [com.openai.models.TranscriptTextDoneEvent](docs/TranscriptTextDoneEvent.md)
+ - [com.openai.models.TranscriptionInclude](docs/TranscriptionInclude.md)
  - [com.openai.models.TranscriptionSegment](docs/TranscriptionSegment.md)
  - [com.openai.models.TranscriptionWord](docs/TranscriptionWord.md)
  - [com.openai.models.TruncationObject](docs/TruncationObject.md)
+ - [com.openai.models.Type](docs/Type.md)
+ - [com.openai.models.UpdateChatCompletionRequest](docs/UpdateChatCompletionRequest.md)
+ - [com.openai.models.UpdateVectorStoreFileAttributesRequest](docs/UpdateVectorStoreFileAttributesRequest.md)
  - [com.openai.models.UpdateVectorStoreRequest](docs/UpdateVectorStoreRequest.md)
  - [com.openai.models.UpdateVectorStoreRequestExpiresAfter](docs/UpdateVectorStoreRequestExpiresAfter.md)
  - [com.openai.models.Upload](docs/Upload.md)
  - [com.openai.models.UploadFile](docs/UploadFile.md)
  - [com.openai.models.UploadPart](docs/UploadPart.md)
+ - [com.openai.models.UrlCitation](docs/UrlCitation.md)
  - [com.openai.models.UsageAudioSpeechesResult](docs/UsageAudioSpeechesResult.md)
  - [com.openai.models.UsageAudioTranscriptionsResult](docs/UsageAudioTranscriptionsResult.md)
  - [com.openai.models.UsageCodeInterpreterSessionsResult](docs/UsageCodeInterpreterSessionsResult.md)
@@ -676,13 +843,31 @@ All URIs are relative to *https://api.openai.com/v1*
  - [com.openai.models.UserListResponse](docs/UserListResponse.md)
  - [com.openai.models.UserRoleUpdateRequest](docs/UserRoleUpdateRequest.md)
  - [com.openai.models.VectorStoreExpirationAfter](docs/VectorStoreExpirationAfter.md)
+ - [com.openai.models.VectorStoreFileAttributesValue](docs/VectorStoreFileAttributesValue.md)
  - [com.openai.models.VectorStoreFileBatchObject](docs/VectorStoreFileBatchObject.md)
  - [com.openai.models.VectorStoreFileBatchObjectFileCounts](docs/VectorStoreFileBatchObjectFileCounts.md)
+ - [com.openai.models.VectorStoreFileContentResponse](docs/VectorStoreFileContentResponse.md)
+ - [com.openai.models.VectorStoreFileContentResponseDataInner](docs/VectorStoreFileContentResponseDataInner.md)
  - [com.openai.models.VectorStoreFileObject](docs/VectorStoreFileObject.md)
  - [com.openai.models.VectorStoreFileObjectChunkingStrategy](docs/VectorStoreFileObjectChunkingStrategy.md)
  - [com.openai.models.VectorStoreFileObjectLastError](docs/VectorStoreFileObjectLastError.md)
  - [com.openai.models.VectorStoreObject](docs/VectorStoreObject.md)
  - [com.openai.models.VectorStoreObjectFileCounts](docs/VectorStoreObjectFileCounts.md)
+ - [com.openai.models.VectorStoreSearchRequest](docs/VectorStoreSearchRequest.md)
+ - [com.openai.models.VectorStoreSearchRequestQuery](docs/VectorStoreSearchRequestQuery.md)
+ - [com.openai.models.VectorStoreSearchRequestRankingOptions](docs/VectorStoreSearchRequestRankingOptions.md)
+ - [com.openai.models.VectorStoreSearchResultContentObject](docs/VectorStoreSearchResultContentObject.md)
+ - [com.openai.models.VectorStoreSearchResultItem](docs/VectorStoreSearchResultItem.md)
+ - [com.openai.models.VectorStoreSearchResultsPage](docs/VectorStoreSearchResultsPage.md)
+ - [com.openai.models.VoiceIdsShared](docs/VoiceIdsShared.md)
+ - [com.openai.models.Wait](docs/Wait.md)
+ - [com.openai.models.WebSearch](docs/WebSearch.md)
+ - [com.openai.models.WebSearchContextSize](docs/WebSearchContextSize.md)
+ - [com.openai.models.WebSearchLocation](docs/WebSearchLocation.md)
+ - [com.openai.models.WebSearchTool](docs/WebSearchTool.md)
+ - [com.openai.models.WebSearchToolCall](docs/WebSearchToolCall.md)
+ - [com.openai.models.WebSearchToolUserLocation](docs/WebSearchToolUserLocation.md)
+ - [com.openai.models.WebSearchUserLocation](docs/WebSearchUserLocation.md)
 
 
 <a id="documentation-for-authorization"></a>
diff --git a/lib/build.gradle.kts b/lib/build.gradle.kts
index 4adf4b57..b5ffa083 100644
--- a/lib/build.gradle.kts
+++ b/lib/build.gradle.kts
@@ -2,8 +2,8 @@ import org.jetbrains.kotlin.gradle.tasks.KotlinCompilationTask
 
 plugins {
     alias(libs.plugins.kotlin.jvm)
-    id("com.diffplug.spotless") version "7.0.2"
     // id("maven-publish")
+    alias(libs.plugins.spotless)
 }
 
 group = "com.openai"
@@ -32,6 +32,9 @@ dependencies {
     testImplementation(libs.kotlintest.runner.junit5)
 }
 
+// Use spotless plugin to automatically format code, remove unused import, etc
+// To apply changes directly to the file, run `gradlew spotlessApply`
+// Ref: https://github.com/diffplug/spotless/tree/main/plugin-gradle
 spotless {
     kotlin {
         ktfmt("0.54").googleStyle().configure {
diff --git a/lib/docs/Annotation.md b/lib/docs/Annotation.md
new file mode 100644
index 00000000..98edb50c
--- /dev/null
+++ b/lib/docs/Annotation.md
@@ -0,0 +1,23 @@
+
+# Annotation
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the file citation. Always &#x60;file_citation&#x60;.  |  |
+| **index** | **kotlin.Int** | The index of the file in the list of files.  |  |
+| **fileId** | **kotlin.String** | The ID of the file.  |  |
+| **url** | **kotlin.String** | The URL of the web resource.  |  |
+| **title** | **kotlin.String** | The title of the web resource.  |  |
+| **startIndex** | **kotlin.Int** | The index of the first character of the URL citation in the message.  |  |
+| **endIndex** | **kotlin.Int** | The index of the last character of the URL citation in the message.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | file_citation, url_citation, file_path |
+
+
+
diff --git a/lib/docs/AssistantObject.md b/lib/docs/AssistantObject.md
index c462cc0f..ea87a4a4 100644
--- a/lib/docs/AssistantObject.md
+++ b/lib/docs/AssistantObject.md
@@ -16,7 +16,7 @@
 | **toolResources** | [**AssistantObjectToolResources**](AssistantObjectToolResources.md) |  |  [optional] |
 | **temperature** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.  |  [optional] |
 | **topP** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.  We generally recommend altering this or temperature but not both.  |  [optional] |
-| **responseFormat** | [**AssistantObjectResponseFormat**](AssistantObjectResponseFormat.md) |  |  [optional] |
+| **responseFormat** | [**AssistantsApiResponseFormatOption**](AssistantsApiResponseFormatOption.md) |  |  [optional] |
 
 
 <a id="`Object`"></a>
diff --git a/lib/docs/AssistantSupportedModels.md b/lib/docs/AssistantSupportedModels.md
index 97d02da4..f52bdb4d 100644
--- a/lib/docs/AssistantSupportedModels.md
+++ b/lib/docs/AssistantSupportedModels.md
@@ -24,6 +24,10 @@
 
     * `gptMinus4oMinusMiniMinus2024Minus07Minus18` (value: `"gpt-4o-mini-2024-07-18"`)
 
+    * `gptMinus4Period5MinusPreview` (value: `"gpt-4.5-preview"`)
+
+    * `gptMinus4Period5MinusPreviewMinus2025Minus02Minus27` (value: `"gpt-4.5-preview-2025-02-27"`)
+
     * `gptMinus4MinusTurbo` (value: `"gpt-4-turbo"`)
 
     * `gptMinus4MinusTurboMinus2024Minus04Minus09` (value: `"gpt-4-turbo-2024-04-09"`)
diff --git a/lib/docs/AssistantsApiResponseFormatOption.md b/lib/docs/AssistantsApiResponseFormatOption.md
index 6c8b83fb..c033e43e 100644
--- a/lib/docs/AssistantsApiResponseFormatOption.md
+++ b/lib/docs/AssistantsApiResponseFormatOption.md
@@ -4,8 +4,8 @@
 ## Properties
 | Name | Type | Description | Notes |
 | ------------ | ------------- | ------------- | ------------- |
-| **type** | [**inline**](#Type) | The type of response format being defined: &#x60;text&#x60; |  |
-| **jsonSchema** | [**ResponseFormatJsonSchemaJsonSchema**](ResponseFormatJsonSchemaJsonSchema.md) |  |  |
+| **type** | [**inline**](#Type) | The type of response format being defined. Always &#x60;text&#x60;. |  |
+| **jsonSchema** | [**JSONSchema**](JSONSchema.md) |  |  |
 
 
 <a id="Type"></a>
diff --git a/lib/docs/AudioApi.md b/lib/docs/AudioApi.md
index 7ec8b1cc..83052caf 100644
--- a/lib/docs/AudioApi.md
+++ b/lib/docs/AudioApi.md
@@ -57,7 +57,7 @@ Configure ApiKeyAuth:
 
 <a id="createTranscription"></a>
 # **createTranscription**
-> CreateTranscription200Response createTranscription(file, model, language, prompt, responseFormat, temperature, timestampGranularities)
+> CreateTranscription200Response createTranscription(file, model, language, prompt, responseFormat, temperature, include, timestampGranularities, stream)
 
 Transcribes audio into the input language.
 
@@ -74,9 +74,11 @@ val language : kotlin.String = language_example // kotlin.String | The language
 val prompt : kotlin.String = prompt_example // kotlin.String | An optional text to guide the model's style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text#prompting) should match the audio language. 
 val responseFormat : AudioResponseFormat =  // AudioResponseFormat | 
 val temperature : java.math.BigDecimal = 8.14 // java.math.BigDecimal | The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit. 
+val include : kotlin.collections.List<TranscriptionInclude> =  // kotlin.collections.List<TranscriptionInclude> | Additional information to include in the transcription response.  `logprobs` will return the log probabilities of the tokens in the  response to understand the model's confidence in the transcription.  `logprobs` only works with response_format set to `json` and only with  the models `gpt-4o-transcribe` and `gpt-4o-mini-transcribe`. 
 val timestampGranularities : kotlin.collections.List<kotlin.String> =  // kotlin.collections.List<kotlin.String> | The timestamp granularities to populate for this transcription. `response_format` must be set `verbose_json` to use timestamp granularities. Either or both of these options are supported: `word`, or `segment`. Note: There is no additional latency for segment timestamps, but generating word timestamps incurs additional latency. 
+val stream : kotlin.Boolean = true // kotlin.Boolean | If set to true, the model response data will be streamed to the client as it is generated using [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format).  See the [Streaming section of the Speech-to-Text guide](/docs/guides/speech-to-text?lang=curl#streaming-transcriptions) for more information.  Note: Streaming is not supported for the `whisper-1` model and will be ignored. 
 try {
-    val result : CreateTranscription200Response = apiInstance.createTranscription(file, model, language, prompt, responseFormat, temperature, timestampGranularities)
+    val result : CreateTranscription200Response = apiInstance.createTranscription(file, model, language, prompt, responseFormat, temperature, include, timestampGranularities, stream)
     println(result)
 } catch (e: ClientException) {
     println("4xx response calling AudioApi#createTranscription")
@@ -94,9 +96,11 @@ try {
 | **prompt** | **kotlin.String**| An optional text to guide the model&#39;s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text#prompting) should match the audio language.  | [optional] |
 | **responseFormat** | [**AudioResponseFormat**](AudioResponseFormat.md)|  | [optional] [default to json] [enum: json, text, srt, verbose_json, vtt] |
 | **temperature** | **java.math.BigDecimal**| The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit.  | [optional] [default to 0] |
+| **include** | [**kotlin.collections.List&lt;TranscriptionInclude&gt;**](TranscriptionInclude.md)| Additional information to include in the transcription response.  &#x60;logprobs&#x60; will return the log probabilities of the tokens in the  response to understand the model&#39;s confidence in the transcription.  &#x60;logprobs&#x60; only works with response_format set to &#x60;json&#x60; and only with  the models &#x60;gpt-4o-transcribe&#x60; and &#x60;gpt-4o-mini-transcribe&#x60;.  | [optional] |
+| **timestampGranularities** | [**kotlin.collections.List&lt;kotlin.String&gt;**](kotlin.String.md)| The timestamp granularities to populate for this transcription. &#x60;response_format&#x60; must be set &#x60;verbose_json&#x60; to use timestamp granularities. Either or both of these options are supported: &#x60;word&#x60;, or &#x60;segment&#x60;. Note: There is no additional latency for segment timestamps, but generating word timestamps incurs additional latency.  | [optional] [enum: word, segment] |
 | Name | Type | Description  | Notes |
 | ------------- | ------------- | ------------- | ------------- |
-| **timestampGranularities** | [**kotlin.collections.List&lt;kotlin.String&gt;**](kotlin.String.md)| The timestamp granularities to populate for this transcription. &#x60;response_format&#x60; must be set &#x60;verbose_json&#x60; to use timestamp granularities. Either or both of these options are supported: &#x60;word&#x60;, or &#x60;segment&#x60;. Note: There is no additional latency for segment timestamps, but generating word timestamps incurs additional latency.  | [optional] [enum: word, segment] |
+| **stream** | **kotlin.Boolean**| If set to true, the model response data will be streamed to the client as it is generated using [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format).  See the [Streaming section of the Speech-to-Text guide](/docs/guides/speech-to-text?lang&#x3D;curl#streaming-transcriptions) for more information.  Note: Streaming is not supported for the &#x60;whisper-1&#x60; model and will be ignored.  | [optional] [default to false] |
 
 ### Return type
 
@@ -127,9 +131,9 @@ Translates audio into English.
 
 val apiInstance = AudioApi()
 val file : java.io.File = BINARY_DATA_HERE // java.io.File | The audio file object (not file name) translate, in one of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm. 
-val model : CreateTranscriptionRequestModel =  // CreateTranscriptionRequestModel | 
+val model : CreateTranslationRequestModel =  // CreateTranslationRequestModel | 
 val prompt : kotlin.String = prompt_example // kotlin.String | An optional text to guide the model's style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text#prompting) should be in English. 
-val responseFormat : AudioResponseFormat =  // AudioResponseFormat | 
+val responseFormat : kotlin.String = responseFormat_example // kotlin.String | The format of the output, in one of these options: `json`, `text`, `srt`, `verbose_json`, or `vtt`. 
 val temperature : java.math.BigDecimal = 8.14 // java.math.BigDecimal | The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit. 
 try {
     val result : CreateTranslation200Response = apiInstance.createTranslation(file, model, prompt, responseFormat, temperature)
@@ -145,9 +149,9 @@ try {
 
 ### Parameters
 | **file** | **java.io.File**| The audio file object (not file name) translate, in one of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.  | |
-| **model** | [**CreateTranscriptionRequestModel**](CreateTranscriptionRequestModel.md)|  | |
+| **model** | [**CreateTranslationRequestModel**](CreateTranslationRequestModel.md)|  | |
 | **prompt** | **kotlin.String**| An optional text to guide the model&#39;s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text#prompting) should be in English.  | [optional] |
-| **responseFormat** | [**AudioResponseFormat**](AudioResponseFormat.md)|  | [optional] [default to json] [enum: json, text, srt, verbose_json, vtt] |
+| **responseFormat** | **kotlin.String**| The format of the output, in one of these options: &#x60;json&#x60;, &#x60;text&#x60;, &#x60;srt&#x60;, &#x60;verbose_json&#x60;, or &#x60;vtt&#x60;.  | [optional] [default to json] [enum: json, text, srt, verbose_json, vtt] |
 | Name | Type | Description  | Notes |
 | ------------- | ------------- | ------------- | ------------- |
 | **temperature** | **java.math.BigDecimal**| The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use [log probability](https://en.wikipedia.org/wiki/Log_probability) to automatically increase the temperature until certain thresholds are hit.  | [optional] [default to 0] |
diff --git a/lib/docs/ChatApi.md b/lib/docs/ChatApi.md
index ff0161cc..ef61be7b 100644
--- a/lib/docs/ChatApi.md
+++ b/lib/docs/ChatApi.md
@@ -4,14 +4,19 @@ All URIs are relative to *https://api.openai.com/v1*
 
 | Method | HTTP request | Description |
 | ------------- | ------------- | ------------- |
-| [**createChatCompletion**](ChatApi.md#createChatCompletion) | **POST** /chat/completions | Creates a model response for the given chat conversation. Learn more in the [text generation](/docs/guides/text-generation), [vision](/docs/guides/vision), and [audio](/docs/guides/audio) guides.  Parameter support can differ depending on the model used to generate the response, particularly for newer reasoning models. Parameters that are only supported for reasoning models are noted below. For the current state of  unsupported parameters in reasoning models,  [refer to the reasoning guide](/docs/guides/reasoning).  |
+| [**createChatCompletion**](ChatApi.md#createChatCompletion) | **POST** /chat/completions | **Starting a new project?** We recommend trying [Responses](/docs/api-reference/responses)  to take advantage of the latest OpenAI platform features. Compare [Chat Completions with Responses](/docs/guides/responses-vs-chat-completions?api-mode&#x3D;responses).  ---  Creates a model response for the given chat conversation. Learn more in the [text generation](/docs/guides/text-generation), [vision](/docs/guides/vision), and [audio](/docs/guides/audio) guides.  Parameter support can differ depending on the model used to generate the response, particularly for newer reasoning models. Parameters that are only supported for reasoning models are noted below. For the current state of  unsupported parameters in reasoning models,  [refer to the reasoning guide](/docs/guides/reasoning).  |
+| [**deleteChatCompletion**](ChatApi.md#deleteChatCompletion) | **DELETE** /chat/completions/{completion_id} | Delete a stored chat completion. Only Chat Completions that have been created with the &#x60;store&#x60; parameter set to &#x60;true&#x60; can be deleted.  |
+| [**getChatCompletion**](ChatApi.md#getChatCompletion) | **GET** /chat/completions/{completion_id} | Get a stored chat completion. Only Chat Completions that have been created with the &#x60;store&#x60; parameter set to &#x60;true&#x60; will be returned.  |
+| [**getChatCompletionMessages**](ChatApi.md#getChatCompletionMessages) | **GET** /chat/completions/{completion_id}/messages | Get the messages in a stored chat completion. Only Chat Completions that have been created with the &#x60;store&#x60; parameter set to &#x60;true&#x60; will be returned.  |
+| [**listChatCompletions**](ChatApi.md#listChatCompletions) | **GET** /chat/completions | List stored Chat Completions. Only Chat Completions that have been stored with the &#x60;store&#x60; parameter set to &#x60;true&#x60; will be returned.  |
+| [**updateChatCompletion**](ChatApi.md#updateChatCompletion) | **POST** /chat/completions/{completion_id} | Modify a stored chat completion. Only Chat Completions that have been created with the &#x60;store&#x60; parameter set to &#x60;true&#x60; can be modified. Currently, the only supported modification is to update the &#x60;metadata&#x60; field.  |
 
 
 <a id="createChatCompletion"></a>
 # **createChatCompletion**
 > CreateChatCompletionResponse createChatCompletion(createChatCompletionRequest)
 
-Creates a model response for the given chat conversation. Learn more in the [text generation](/docs/guides/text-generation), [vision](/docs/guides/vision), and [audio](/docs/guides/audio) guides.  Parameter support can differ depending on the model used to generate the response, particularly for newer reasoning models. Parameters that are only supported for reasoning models are noted below. For the current state of  unsupported parameters in reasoning models,  [refer to the reasoning guide](/docs/guides/reasoning). 
+**Starting a new project?** We recommend trying [Responses](/docs/api-reference/responses)  to take advantage of the latest OpenAI platform features. Compare [Chat Completions with Responses](/docs/guides/responses-vs-chat-completions?api-mode&#x3D;responses).  ---  Creates a model response for the given chat conversation. Learn more in the [text generation](/docs/guides/text-generation), [vision](/docs/guides/vision), and [audio](/docs/guides/audio) guides.  Parameter support can differ depending on the model used to generate the response, particularly for newer reasoning models. Parameters that are only supported for reasoning models are noted below. For the current state of  unsupported parameters in reasoning models,  [refer to the reasoning guide](/docs/guides/reasoning). 
 
 ### Example
 ```kotlin
@@ -45,6 +50,252 @@ try {
 ### Authorization
 
 
+Configure ApiKeyAuth:
+    ApiClient.accessToken = ""
+
+### HTTP request headers
+
+ - **Content-Type**: application/json
+ - **Accept**: application/json
+
+<a id="deleteChatCompletion"></a>
+# **deleteChatCompletion**
+> ChatCompletionDeleted deleteChatCompletion(completionId)
+
+Delete a stored chat completion. Only Chat Completions that have been created with the &#x60;store&#x60; parameter set to &#x60;true&#x60; can be deleted. 
+
+### Example
+```kotlin
+// Import classes:
+//import com.openai.infrastructure.*
+//import com.openai.models.*
+
+val apiInstance = ChatApi()
+val completionId : kotlin.String = completionId_example // kotlin.String | The ID of the chat completion to delete.
+try {
+    val result : ChatCompletionDeleted = apiInstance.deleteChatCompletion(completionId)
+    println(result)
+} catch (e: ClientException) {
+    println("4xx response calling ChatApi#deleteChatCompletion")
+    e.printStackTrace()
+} catch (e: ServerException) {
+    println("5xx response calling ChatApi#deleteChatCompletion")
+    e.printStackTrace()
+}
+```
+
+### Parameters
+| Name | Type | Description  | Notes |
+| ------------- | ------------- | ------------- | ------------- |
+| **completionId** | **kotlin.String**| The ID of the chat completion to delete. | |
+
+### Return type
+
+[**ChatCompletionDeleted**](ChatCompletionDeleted.md)
+
+### Authorization
+
+
+Configure ApiKeyAuth:
+    ApiClient.accessToken = ""
+
+### HTTP request headers
+
+ - **Content-Type**: Not defined
+ - **Accept**: application/json
+
+<a id="getChatCompletion"></a>
+# **getChatCompletion**
+> CreateChatCompletionResponse getChatCompletion(completionId)
+
+Get a stored chat completion. Only Chat Completions that have been created with the &#x60;store&#x60; parameter set to &#x60;true&#x60; will be returned. 
+
+### Example
+```kotlin
+// Import classes:
+//import com.openai.infrastructure.*
+//import com.openai.models.*
+
+val apiInstance = ChatApi()
+val completionId : kotlin.String = completionId_example // kotlin.String | The ID of the chat completion to retrieve.
+try {
+    val result : CreateChatCompletionResponse = apiInstance.getChatCompletion(completionId)
+    println(result)
+} catch (e: ClientException) {
+    println("4xx response calling ChatApi#getChatCompletion")
+    e.printStackTrace()
+} catch (e: ServerException) {
+    println("5xx response calling ChatApi#getChatCompletion")
+    e.printStackTrace()
+}
+```
+
+### Parameters
+| Name | Type | Description  | Notes |
+| ------------- | ------------- | ------------- | ------------- |
+| **completionId** | **kotlin.String**| The ID of the chat completion to retrieve. | |
+
+### Return type
+
+[**CreateChatCompletionResponse**](CreateChatCompletionResponse.md)
+
+### Authorization
+
+
+Configure ApiKeyAuth:
+    ApiClient.accessToken = ""
+
+### HTTP request headers
+
+ - **Content-Type**: Not defined
+ - **Accept**: application/json
+
+<a id="getChatCompletionMessages"></a>
+# **getChatCompletionMessages**
+> ChatCompletionMessageList getChatCompletionMessages(completionId, after, limit, order)
+
+Get the messages in a stored chat completion. Only Chat Completions that have been created with the &#x60;store&#x60; parameter set to &#x60;true&#x60; will be returned. 
+
+### Example
+```kotlin
+// Import classes:
+//import com.openai.infrastructure.*
+//import com.openai.models.*
+
+val apiInstance = ChatApi()
+val completionId : kotlin.String = completionId_example // kotlin.String | The ID of the chat completion to retrieve messages from.
+val after : kotlin.String = after_example // kotlin.String | Identifier for the last message from the previous pagination request.
+val limit : kotlin.Int = 56 // kotlin.Int | Number of messages to retrieve.
+val order : kotlin.String = order_example // kotlin.String | Sort order for messages by timestamp. Use `asc` for ascending order or `desc` for descending order. Defaults to `asc`.
+try {
+    val result : ChatCompletionMessageList = apiInstance.getChatCompletionMessages(completionId, after, limit, order)
+    println(result)
+} catch (e: ClientException) {
+    println("4xx response calling ChatApi#getChatCompletionMessages")
+    e.printStackTrace()
+} catch (e: ServerException) {
+    println("5xx response calling ChatApi#getChatCompletionMessages")
+    e.printStackTrace()
+}
+```
+
+### Parameters
+| **completionId** | **kotlin.String**| The ID of the chat completion to retrieve messages from. | |
+| **after** | **kotlin.String**| Identifier for the last message from the previous pagination request. | [optional] |
+| **limit** | **kotlin.Int**| Number of messages to retrieve. | [optional] [default to 20] |
+| Name | Type | Description  | Notes |
+| ------------- | ------------- | ------------- | ------------- |
+| **order** | **kotlin.String**| Sort order for messages by timestamp. Use &#x60;asc&#x60; for ascending order or &#x60;desc&#x60; for descending order. Defaults to &#x60;asc&#x60;. | [optional] [default to asc] [enum: asc, desc] |
+
+### Return type
+
+[**ChatCompletionMessageList**](ChatCompletionMessageList.md)
+
+### Authorization
+
+
+Configure ApiKeyAuth:
+    ApiClient.accessToken = ""
+
+### HTTP request headers
+
+ - **Content-Type**: Not defined
+ - **Accept**: application/json
+
+<a id="listChatCompletions"></a>
+# **listChatCompletions**
+> ChatCompletionList listChatCompletions(model, metadata, after, limit, order)
+
+List stored Chat Completions. Only Chat Completions that have been stored with the &#x60;store&#x60; parameter set to &#x60;true&#x60; will be returned. 
+
+### Example
+```kotlin
+// Import classes:
+//import com.openai.infrastructure.*
+//import com.openai.models.*
+
+val apiInstance = ChatApi()
+val model : kotlin.String = model_example // kotlin.String | The model used to generate the Chat Completions.
+val metadata : kotlin.collections.Map<kotlin.String, kotlin.String> =  // kotlin.collections.Map<kotlin.String, kotlin.String> | A list of metadata keys to filter the Chat Completions by. Example:  `metadata[key1]=value1&metadata[key2]=value2` 
+val after : kotlin.String = after_example // kotlin.String | Identifier for the last chat completion from the previous pagination request.
+val limit : kotlin.Int = 56 // kotlin.Int | Number of Chat Completions to retrieve.
+val order : kotlin.String = order_example // kotlin.String | Sort order for Chat Completions by timestamp. Use `asc` for ascending order or `desc` for descending order. Defaults to `asc`.
+try {
+    val result : ChatCompletionList = apiInstance.listChatCompletions(model, metadata, after, limit, order)
+    println(result)
+} catch (e: ClientException) {
+    println("4xx response calling ChatApi#listChatCompletions")
+    e.printStackTrace()
+} catch (e: ServerException) {
+    println("5xx response calling ChatApi#listChatCompletions")
+    e.printStackTrace()
+}
+```
+
+### Parameters
+| **model** | **kotlin.String**| The model used to generate the Chat Completions. | [optional] |
+| **metadata** | [**kotlin.collections.Map&lt;kotlin.String, kotlin.String&gt;**](kotlin.String.md)| A list of metadata keys to filter the Chat Completions by. Example:  &#x60;metadata[key1]&#x3D;value1&amp;metadata[key2]&#x3D;value2&#x60;  | [optional] |
+| **after** | **kotlin.String**| Identifier for the last chat completion from the previous pagination request. | [optional] |
+| **limit** | **kotlin.Int**| Number of Chat Completions to retrieve. | [optional] [default to 20] |
+| Name | Type | Description  | Notes |
+| ------------- | ------------- | ------------- | ------------- |
+| **order** | **kotlin.String**| Sort order for Chat Completions by timestamp. Use &#x60;asc&#x60; for ascending order or &#x60;desc&#x60; for descending order. Defaults to &#x60;asc&#x60;. | [optional] [default to asc] [enum: asc, desc] |
+
+### Return type
+
+[**ChatCompletionList**](ChatCompletionList.md)
+
+### Authorization
+
+
+Configure ApiKeyAuth:
+    ApiClient.accessToken = ""
+
+### HTTP request headers
+
+ - **Content-Type**: Not defined
+ - **Accept**: application/json
+
+<a id="updateChatCompletion"></a>
+# **updateChatCompletion**
+> CreateChatCompletionResponse updateChatCompletion(completionId, updateChatCompletionRequest)
+
+Modify a stored chat completion. Only Chat Completions that have been created with the &#x60;store&#x60; parameter set to &#x60;true&#x60; can be modified. Currently, the only supported modification is to update the &#x60;metadata&#x60; field. 
+
+### Example
+```kotlin
+// Import classes:
+//import com.openai.infrastructure.*
+//import com.openai.models.*
+
+val apiInstance = ChatApi()
+val completionId : kotlin.String = completionId_example // kotlin.String | The ID of the chat completion to update.
+val updateChatCompletionRequest : UpdateChatCompletionRequest =  // UpdateChatCompletionRequest | 
+try {
+    val result : CreateChatCompletionResponse = apiInstance.updateChatCompletion(completionId, updateChatCompletionRequest)
+    println(result)
+} catch (e: ClientException) {
+    println("4xx response calling ChatApi#updateChatCompletion")
+    e.printStackTrace()
+} catch (e: ServerException) {
+    println("5xx response calling ChatApi#updateChatCompletion")
+    e.printStackTrace()
+}
+```
+
+### Parameters
+| **completionId** | **kotlin.String**| The ID of the chat completion to update. | |
+| Name | Type | Description  | Notes |
+| ------------- | ------------- | ------------- | ------------- |
+| **updateChatCompletionRequest** | [**UpdateChatCompletionRequest**](UpdateChatCompletionRequest.md)|  | |
+
+### Return type
+
+[**CreateChatCompletionResponse**](CreateChatCompletionResponse.md)
+
+### Authorization
+
+
 Configure ApiKeyAuth:
     ApiClient.accessToken = ""
 
diff --git a/lib/docs/ChatCompletionDeleted.md b/lib/docs/ChatCompletionDeleted.md
new file mode 100644
index 00000000..a2f164a2
--- /dev/null
+++ b/lib/docs/ChatCompletionDeleted.md
@@ -0,0 +1,19 @@
+
+# ChatCompletionDeleted
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **&#x60;object&#x60;** | [**inline**](#&#x60;Object&#x60;) | The type of object being deleted. |  |
+| **id** | **kotlin.String** | The ID of the chat completion that was deleted. |  |
+| **deleted** | **kotlin.Boolean** | Whether the chat completion was deleted. |  |
+
+
+<a id="`Object`"></a>
+## Enum: object
+| Name | Value |
+| ---- | ----- |
+| &#x60;object&#x60; | chat.completion.deleted |
+
+
+
diff --git a/lib/docs/ChatCompletionList.md b/lib/docs/ChatCompletionList.md
new file mode 100644
index 00000000..475b8893
--- /dev/null
+++ b/lib/docs/ChatCompletionList.md
@@ -0,0 +1,21 @@
+
+# ChatCompletionList
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **&#x60;object&#x60;** | [**inline**](#&#x60;Object&#x60;) | The type of this object. It is always set to \&quot;list\&quot;.  |  |
+| **&#x60;data&#x60;** | [**kotlin.collections.List&lt;CreateChatCompletionResponse&gt;**](CreateChatCompletionResponse.md) | An array of chat completion objects.  |  |
+| **firstId** | **kotlin.String** | The identifier of the first chat completion in the data array. |  |
+| **lastId** | **kotlin.String** | The identifier of the last chat completion in the data array. |  |
+| **hasMore** | **kotlin.Boolean** | Indicates whether there are more Chat Completions available. |  |
+
+
+<a id="`Object`"></a>
+## Enum: object
+| Name | Value |
+| ---- | ----- |
+| &#x60;object&#x60; | list |
+
+
+
diff --git a/lib/docs/ChatCompletionMessageList.md b/lib/docs/ChatCompletionMessageList.md
new file mode 100644
index 00000000..1cf6a2d1
--- /dev/null
+++ b/lib/docs/ChatCompletionMessageList.md
@@ -0,0 +1,21 @@
+
+# ChatCompletionMessageList
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **&#x60;object&#x60;** | [**inline**](#&#x60;Object&#x60;) | The type of this object. It is always set to \&quot;list\&quot;.  |  |
+| **&#x60;data&#x60;** | [**kotlin.collections.List&lt;ChatCompletionMessageListDataInner&gt;**](ChatCompletionMessageListDataInner.md) | An array of chat completion message objects.  |  |
+| **firstId** | **kotlin.String** | The identifier of the first chat message in the data array. |  |
+| **lastId** | **kotlin.String** | The identifier of the last chat message in the data array. |  |
+| **hasMore** | **kotlin.Boolean** | Indicates whether there are more chat messages available. |  |
+
+
+<a id="`Object`"></a>
+## Enum: object
+| Name | Value |
+| ---- | ----- |
+| &#x60;object&#x60; | list |
+
+
+
diff --git a/lib/docs/ChatCompletionMessageListDataInner.md b/lib/docs/ChatCompletionMessageListDataInner.md
new file mode 100644
index 00000000..c82b1f1d
--- /dev/null
+++ b/lib/docs/ChatCompletionMessageListDataInner.md
@@ -0,0 +1,24 @@
+
+# ChatCompletionMessageListDataInner
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **content** | **kotlin.String** | The contents of the message. |  |
+| **refusal** | **kotlin.String** | The refusal message generated by the model. |  |
+| **role** | [**inline**](#Role) | The role of the author of this message. |  |
+| **id** | **kotlin.String** | The identifier of the chat message. |  |
+| **toolCalls** | [**kotlin.collections.List&lt;ChatCompletionMessageToolCall&gt;**](ChatCompletionMessageToolCall.md) | The tool calls generated by the model, such as function calls. |  [optional] |
+| **annotations** | [**kotlin.collections.List&lt;ChatCompletionResponseMessageAnnotationsInner&gt;**](ChatCompletionResponseMessageAnnotationsInner.md) | Annotations for the message, when applicable, as when using the [web search tool](/docs/guides/tools-web-search?api-mode&#x3D;chat).  |  [optional] |
+| **functionCall** | [**ChatCompletionResponseMessageFunctionCall**](ChatCompletionResponseMessageFunctionCall.md) |  |  [optional] |
+| **audio** | [**ChatCompletionResponseMessageAudio**](ChatCompletionResponseMessageAudio.md) |  |  [optional] |
+
+
+<a id="Role"></a>
+## Enum: role
+| Name | Value |
+| ---- | ----- |
+| role | assistant |
+
+
+
diff --git a/lib/docs/ChatCompletionRequestMessageContentPartFile.md b/lib/docs/ChatCompletionRequestMessageContentPartFile.md
new file mode 100644
index 00000000..95bbf22e
--- /dev/null
+++ b/lib/docs/ChatCompletionRequestMessageContentPartFile.md
@@ -0,0 +1,18 @@
+
+# ChatCompletionRequestMessageContentPartFile
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the content part. Always &#x60;file&#x60;. |  |
+| **file** | [**ChatCompletionRequestMessageContentPartFileFile**](ChatCompletionRequestMessageContentPartFileFile.md) |  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | file |
+
+
+
diff --git a/lib/docs/ChatCompletionRequestMessageContentPartFileFile.md b/lib/docs/ChatCompletionRequestMessageContentPartFileFile.md
new file mode 100644
index 00000000..63a8ed41
--- /dev/null
+++ b/lib/docs/ChatCompletionRequestMessageContentPartFileFile.md
@@ -0,0 +1,12 @@
+
+# ChatCompletionRequestMessageContentPartFileFile
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **filename** | **kotlin.String** | The name of the file, used when passing the file to the model as a  string.  |  [optional] |
+| **fileData** | **kotlin.String** | The base64 encoded file data, used when passing the file to the model  as a string.  |  [optional] |
+| **fileId** | **kotlin.String** | The ID of an uploaded file to use as input.  |  [optional] |
+
+
+
diff --git a/lib/docs/ChatCompletionRequestUserMessageContentPart.md b/lib/docs/ChatCompletionRequestUserMessageContentPart.md
index 9b88d210..0ca98785 100644
--- a/lib/docs/ChatCompletionRequestUserMessageContentPart.md
+++ b/lib/docs/ChatCompletionRequestUserMessageContentPart.md
@@ -8,13 +8,14 @@
 | **text** | **kotlin.String** | The text content. |  |
 | **imageUrl** | [**ChatCompletionRequestMessageContentPartImageImageUrl**](ChatCompletionRequestMessageContentPartImageImageUrl.md) |  |  |
 | **inputAudio** | [**ChatCompletionRequestMessageContentPartAudioInputAudio**](ChatCompletionRequestMessageContentPartAudioInputAudio.md) |  |  |
+| **file** | [**ChatCompletionRequestMessageContentPartFileFile**](ChatCompletionRequestMessageContentPartFileFile.md) |  |  |
 
 
 <a id="Type"></a>
 ## Enum: type
 | Name | Value |
 | ---- | ----- |
-| type | text, image_url, input_audio |
+| type | text, image_url, input_audio, file |
 
 
 
diff --git a/lib/docs/ChatCompletionResponseMessage.md b/lib/docs/ChatCompletionResponseMessage.md
index 57dd0b62..91b7d6d3 100644
--- a/lib/docs/ChatCompletionResponseMessage.md
+++ b/lib/docs/ChatCompletionResponseMessage.md
@@ -8,6 +8,7 @@
 | **refusal** | **kotlin.String** | The refusal message generated by the model. |  |
 | **role** | [**inline**](#Role) | The role of the author of this message. |  |
 | **toolCalls** | [**kotlin.collections.List&lt;ChatCompletionMessageToolCall&gt;**](ChatCompletionMessageToolCall.md) | The tool calls generated by the model, such as function calls. |  [optional] |
+| **annotations** | [**kotlin.collections.List&lt;ChatCompletionResponseMessageAnnotationsInner&gt;**](ChatCompletionResponseMessageAnnotationsInner.md) | Annotations for the message, when applicable, as when using the [web search tool](/docs/guides/tools-web-search?api-mode&#x3D;chat).  |  [optional] |
 | **functionCall** | [**ChatCompletionResponseMessageFunctionCall**](ChatCompletionResponseMessageFunctionCall.md) |  |  [optional] |
 | **audio** | [**ChatCompletionResponseMessageAudio**](ChatCompletionResponseMessageAudio.md) |  |  [optional] |
 
diff --git a/lib/docs/ChatCompletionResponseMessageAnnotationsInner.md b/lib/docs/ChatCompletionResponseMessageAnnotationsInner.md
new file mode 100644
index 00000000..aecec8f8
--- /dev/null
+++ b/lib/docs/ChatCompletionResponseMessageAnnotationsInner.md
@@ -0,0 +1,18 @@
+
+# ChatCompletionResponseMessageAnnotationsInner
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the URL citation. Always &#x60;url_citation&#x60;. |  |
+| **urlCitation** | [**ChatCompletionResponseMessageAnnotationsInnerUrlCitation**](ChatCompletionResponseMessageAnnotationsInnerUrlCitation.md) |  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | url_citation |
+
+
+
diff --git a/lib/docs/ChatCompletionResponseMessageAnnotationsInnerUrlCitation.md b/lib/docs/ChatCompletionResponseMessageAnnotationsInnerUrlCitation.md
new file mode 100644
index 00000000..7440da74
--- /dev/null
+++ b/lib/docs/ChatCompletionResponseMessageAnnotationsInnerUrlCitation.md
@@ -0,0 +1,13 @@
+
+# ChatCompletionResponseMessageAnnotationsInnerUrlCitation
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **endIndex** | **kotlin.Int** | The index of the last character of the URL citation in the message. |  |
+| **startIndex** | **kotlin.Int** | The index of the first character of the URL citation in the message. |  |
+| **url** | **kotlin.String** | The URL of the web resource. |  |
+| **title** | **kotlin.String** | The title of the web resource. |  |
+
+
+
diff --git a/lib/docs/ChatCompletionStreamOptions.md b/lib/docs/ChatCompletionStreamOptions.md
index 57cadef5..fc3fc5c6 100644
--- a/lib/docs/ChatCompletionStreamOptions.md
+++ b/lib/docs/ChatCompletionStreamOptions.md
@@ -4,7 +4,7 @@
 ## Properties
 | Name | Type | Description | Notes |
 | ------------ | ------------- | ------------- | ------------- |
-| **includeUsage** | **kotlin.Boolean** | If set, an additional chunk will be streamed before the &#x60;data: [DONE]&#x60; message. The &#x60;usage&#x60; field on this chunk shows the token usage statistics for the entire request, and the &#x60;choices&#x60; field will always be an empty array. All other chunks will also include a &#x60;usage&#x60; field, but with a null value.  |  [optional] |
+| **includeUsage** | **kotlin.Boolean** | If set, an additional chunk will be streamed before the &#x60;data: [DONE]&#x60; message. The &#x60;usage&#x60; field on this chunk shows the token usage statistics for the entire request, and the &#x60;choices&#x60; field will always be an empty array.   All other chunks will also include a &#x60;usage&#x60; field, but with a null value. **NOTE:** If the stream is interrupted, you may not receive the final usage chunk which contains the total token usage for the request.  |  [optional] |
 
 
 
diff --git a/lib/docs/Click.md b/lib/docs/Click.md
new file mode 100644
index 00000000..d04f5212
--- /dev/null
+++ b/lib/docs/Click.md
@@ -0,0 +1,27 @@
+
+# Click
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | Specifies the event type. For a click action, this property is  always set to &#x60;click&#x60;.  |  |
+| **button** | [**inline**](#Button) | Indicates which mouse button was pressed during the click. One of &#x60;left&#x60;, &#x60;right&#x60;, &#x60;wheel&#x60;, &#x60;back&#x60;, or &#x60;forward&#x60;.  |  |
+| **x** | **kotlin.Int** | The x-coordinate where the click occurred.  |  |
+| **y** | **kotlin.Int** | The y-coordinate where the click occurred.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | click |
+
+
+<a id="Button"></a>
+## Enum: button
+| Name | Value |
+| ---- | ----- |
+| button | left, right, wheel, back, forward |
+
+
+
diff --git a/lib/docs/CodeInterpreterFileOutput.md b/lib/docs/CodeInterpreterFileOutput.md
new file mode 100644
index 00000000..d8a5eb51
--- /dev/null
+++ b/lib/docs/CodeInterpreterFileOutput.md
@@ -0,0 +1,18 @@
+
+# CodeInterpreterFileOutput
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the code interpreter file output. Always &#x60;files&#x60;.  |  |
+| **files** | [**kotlin.collections.List&lt;CodeInterpreterFileOutputFilesInner&gt;**](CodeInterpreterFileOutputFilesInner.md) |  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | files |
+
+
+
diff --git a/lib/docs/CodeInterpreterFileOutputFilesInner.md b/lib/docs/CodeInterpreterFileOutputFilesInner.md
new file mode 100644
index 00000000..f6f485ea
--- /dev/null
+++ b/lib/docs/CodeInterpreterFileOutputFilesInner.md
@@ -0,0 +1,11 @@
+
+# CodeInterpreterFileOutputFilesInner
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **mimeType** | **kotlin.String** | The MIME type of the file.  |  |
+| **fileId** | **kotlin.String** | The ID of the file.  |  |
+
+
+
diff --git a/lib/docs/CodeInterpreterTextOutput.md b/lib/docs/CodeInterpreterTextOutput.md
new file mode 100644
index 00000000..ea025973
--- /dev/null
+++ b/lib/docs/CodeInterpreterTextOutput.md
@@ -0,0 +1,18 @@
+
+# CodeInterpreterTextOutput
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the code interpreter text output. Always &#x60;logs&#x60;.  |  |
+| **logs** | **kotlin.String** | The logs of the code interpreter tool call.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | logs |
+
+
+
diff --git a/lib/docs/CodeInterpreterTool.md b/lib/docs/CodeInterpreterTool.md
new file mode 100644
index 00000000..600ae8da
--- /dev/null
+++ b/lib/docs/CodeInterpreterTool.md
@@ -0,0 +1,18 @@
+
+# CodeInterpreterTool
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the code interpreter tool. Always &#x60;code_interpreter&#x60;.  |  |
+| **fileIds** | **kotlin.collections.List&lt;kotlin.String&gt;** | The IDs of the files to run the code on.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | code_interpreter |
+
+
+
diff --git a/lib/docs/CodeInterpreterToolCall.md b/lib/docs/CodeInterpreterToolCall.md
new file mode 100644
index 00000000..b3354c2c
--- /dev/null
+++ b/lib/docs/CodeInterpreterToolCall.md
@@ -0,0 +1,28 @@
+
+# CodeInterpreterToolCall
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **id** | **kotlin.String** | The unique ID of the code interpreter tool call.  |  |
+| **type** | [**inline**](#Type) | The type of the code interpreter tool call. Always &#x60;code_interpreter_call&#x60;.  |  |
+| **code** | **kotlin.String** | The code to run.  |  |
+| **status** | [**inline**](#Status) | The status of the code interpreter tool call.  |  |
+| **results** | [**kotlin.collections.List&lt;CodeInterpreterToolOutput&gt;**](CodeInterpreterToolOutput.md) | The results of the code interpreter tool call.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | code_interpreter_call |
+
+
+<a id="Status"></a>
+## Enum: status
+| Name | Value |
+| ---- | ----- |
+| status | in_progress, interpreting, completed |
+
+
+
diff --git a/lib/docs/CodeInterpreterToolOutput.md b/lib/docs/CodeInterpreterToolOutput.md
new file mode 100644
index 00000000..e58959fd
--- /dev/null
+++ b/lib/docs/CodeInterpreterToolOutput.md
@@ -0,0 +1,19 @@
+
+# CodeInterpreterToolOutput
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the code interpreter text output. Always &#x60;logs&#x60;.  |  |
+| **logs** | **kotlin.String** | The logs of the code interpreter tool call.  |  |
+| **files** | [**kotlin.collections.List&lt;CodeInterpreterFileOutputFilesInner&gt;**](CodeInterpreterFileOutputFilesInner.md) |  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | logs, files |
+
+
+
diff --git a/lib/docs/ComparisonFilter.md b/lib/docs/ComparisonFilter.md
new file mode 100644
index 00000000..b3163a58
--- /dev/null
+++ b/lib/docs/ComparisonFilter.md
@@ -0,0 +1,19 @@
+
+# ComparisonFilter
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | Specifies the comparison operator: &#x60;eq&#x60;, &#x60;ne&#x60;, &#x60;gt&#x60;, &#x60;gte&#x60;, &#x60;lt&#x60;, &#x60;lte&#x60;. - &#x60;eq&#x60;: equals - &#x60;ne&#x60;: not equal - &#x60;gt&#x60;: greater than - &#x60;gte&#x60;: greater than or equal - &#x60;lt&#x60;: less than - &#x60;lte&#x60;: less than or equal  |  |
+| **key** | **kotlin.String** | The key to compare against the value. |  |
+| **&#x60;value&#x60;** | [**ComparisonFilterValue**](ComparisonFilterValue.md) |  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | eq, ne, gt, gte, lt, lte |
+
+
+
diff --git a/lib/docs/CreateCompletionRequestStop.md b/lib/docs/ComparisonFilterValue.md
similarity index 80%
rename from lib/docs/CreateCompletionRequestStop.md
rename to lib/docs/ComparisonFilterValue.md
index 4637d76c..7dc0166f 100644
--- a/lib/docs/CreateCompletionRequestStop.md
+++ b/lib/docs/ComparisonFilterValue.md
@@ -1,5 +1,5 @@
 
-# CreateCompletionRequestStop
+# ComparisonFilterValue
 
 ## Properties
 | Name | Type | Description | Notes |
diff --git a/lib/docs/CompoundFilter.md b/lib/docs/CompoundFilter.md
new file mode 100644
index 00000000..217db8db
--- /dev/null
+++ b/lib/docs/CompoundFilter.md
@@ -0,0 +1,18 @@
+
+# CompoundFilter
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | Type of operation: &#x60;and&#x60; or &#x60;or&#x60;. |  |
+| **filters** | [**kotlin.collections.List&lt;CompoundFilterFiltersInner&gt;**](CompoundFilterFiltersInner.md) | Array of filters to combine. Items can be &#x60;ComparisonFilter&#x60; or &#x60;CompoundFilter&#x60;. |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | and, or |
+
+
+
diff --git a/lib/docs/CompoundFilterFiltersInner.md b/lib/docs/CompoundFilterFiltersInner.md
new file mode 100644
index 00000000..c4a27227
--- /dev/null
+++ b/lib/docs/CompoundFilterFiltersInner.md
@@ -0,0 +1,19 @@
+
+# CompoundFilterFiltersInner
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | Specifies the comparison operator: &#x60;eq&#x60;, &#x60;ne&#x60;, &#x60;gt&#x60;, &#x60;gte&#x60;, &#x60;lt&#x60;, &#x60;lte&#x60;. - &#x60;eq&#x60;: equals - &#x60;ne&#x60;: not equal - &#x60;gt&#x60;: greater than - &#x60;gte&#x60;: greater than or equal - &#x60;lt&#x60;: less than - &#x60;lte&#x60;: less than or equal  |  |
+| **key** | **kotlin.String** | The key to compare against the value. |  |
+| **&#x60;value&#x60;** | [**ComparisonFilterValue**](ComparisonFilterValue.md) |  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | eq, ne, gt, gte, lt, lte |
+
+
+
diff --git a/lib/docs/ComputerAction.md b/lib/docs/ComputerAction.md
new file mode 100644
index 00000000..16f86fe8
--- /dev/null
+++ b/lib/docs/ComputerAction.md
@@ -0,0 +1,32 @@
+
+# ComputerAction
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | Specifies the event type. For a click action, this property is  always set to &#x60;click&#x60;.  |  |
+| **button** | [**inline**](#Button) | Indicates which mouse button was pressed during the click. One of &#x60;left&#x60;, &#x60;right&#x60;, &#x60;wheel&#x60;, &#x60;back&#x60;, or &#x60;forward&#x60;.  |  |
+| **x** | **kotlin.Int** | The x-coordinate where the scroll occurred.  |  |
+| **y** | **kotlin.Int** | The y-coordinate where the scroll occurred.  |  |
+| **path** | [**kotlin.collections.List&lt;Coordinate&gt;**](Coordinate.md) | An array of coordinates representing the path of the drag action. Coordinates will appear as an array of objects, eg &#x60;&#x60;&#x60; [   { x: 100, y: 200 },   { x: 200, y: 300 } ] &#x60;&#x60;&#x60;  |  |
+| **propertyKeys** | **kotlin.collections.List&lt;kotlin.String&gt;** | The combination of keys the model is requesting to be pressed. This is an array of strings, each representing a key.  |  |
+| **scrollX** | **kotlin.Int** | The horizontal scroll distance.  |  |
+| **scrollY** | **kotlin.Int** | The vertical scroll distance.  |  |
+| **text** | **kotlin.String** | The text to type.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | click, double_click, drag, keypress, move, screenshot, scroll, type, wait |
+
+
+<a id="Button"></a>
+## Enum: button
+| Name | Value |
+| ---- | ----- |
+| button | left, right, wheel, back, forward |
+
+
+
diff --git a/lib/docs/ComputerScreenshotImage.md b/lib/docs/ComputerScreenshotImage.md
new file mode 100644
index 00000000..b194c338
--- /dev/null
+++ b/lib/docs/ComputerScreenshotImage.md
@@ -0,0 +1,19 @@
+
+# ComputerScreenshotImage
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | Specifies the event type. For a computer screenshot, this property is  always set to &#x60;computer_screenshot&#x60;.  |  |
+| **imageUrl** | **kotlin.String** | The URL of the screenshot image. |  [optional] |
+| **fileId** | **kotlin.String** | The identifier of an uploaded file that contains the screenshot. |  [optional] |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | computer_screenshot |
+
+
+
diff --git a/lib/docs/ComputerTool.md b/lib/docs/ComputerTool.md
new file mode 100644
index 00000000..2dad8cf5
--- /dev/null
+++ b/lib/docs/ComputerTool.md
@@ -0,0 +1,27 @@
+
+# ComputerTool
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the computer use tool. Always &#x60;computer_use_preview&#x60;.  |  |
+| **displayWidth** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | The width of the computer display.  |  |
+| **displayHeight** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | The height of the computer display.  |  |
+| **environment** | [**inline**](#Environment) | The type of computer environment to control.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | computer_use_preview |
+
+
+<a id="Environment"></a>
+## Enum: environment
+| Name | Value |
+| ---- | ----- |
+| environment | mac, windows, ubuntu, browser |
+
+
+
diff --git a/lib/docs/ComputerToolCall.md b/lib/docs/ComputerToolCall.md
new file mode 100644
index 00000000..52a3ec27
--- /dev/null
+++ b/lib/docs/ComputerToolCall.md
@@ -0,0 +1,29 @@
+
+# ComputerToolCall
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the computer call. Always &#x60;computer_call&#x60;. |  |
+| **id** | **kotlin.String** | The unique ID of the computer call. |  |
+| **callId** | **kotlin.String** | An identifier used when responding to the tool call with output.  |  |
+| **action** | [**ComputerAction**](ComputerAction.md) |  |  |
+| **pendingSafetyChecks** | [**kotlin.collections.List&lt;ComputerToolCallSafetyCheck&gt;**](ComputerToolCallSafetyCheck.md) | The pending safety checks for the computer call.  |  |
+| **status** | [**inline**](#Status) | The status of the item. One of &#x60;in_progress&#x60;, &#x60;completed&#x60;, or &#x60;incomplete&#x60;. Populated when items are returned via API.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | computer_call |
+
+
+<a id="Status"></a>
+## Enum: status
+| Name | Value |
+| ---- | ----- |
+| status | in_progress, completed, incomplete |
+
+
+
diff --git a/lib/docs/ComputerToolCallOutput.md b/lib/docs/ComputerToolCallOutput.md
new file mode 100644
index 00000000..0d909196
--- /dev/null
+++ b/lib/docs/ComputerToolCallOutput.md
@@ -0,0 +1,29 @@
+
+# ComputerToolCallOutput
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the computer tool call output. Always &#x60;computer_call_output&#x60;.  |  |
+| **callId** | **kotlin.String** | The ID of the computer tool call that produced the output.  |  |
+| **output** | [**ComputerScreenshotImage**](ComputerScreenshotImage.md) |  |  |
+| **id** | **kotlin.String** | The ID of the computer tool call output.  |  [optional] |
+| **acknowledgedSafetyChecks** | [**kotlin.collections.List&lt;ComputerToolCallSafetyCheck&gt;**](ComputerToolCallSafetyCheck.md) | The safety checks reported by the API that have been acknowledged by the  developer.  |  [optional] |
+| **status** | [**inline**](#Status) | The status of the message input. One of &#x60;in_progress&#x60;, &#x60;completed&#x60;, or &#x60;incomplete&#x60;. Populated when input items are returned via API.  |  [optional] |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | computer_call_output |
+
+
+<a id="Status"></a>
+## Enum: status
+| Name | Value |
+| ---- | ----- |
+| status | in_progress, completed, incomplete |
+
+
+
diff --git a/lib/docs/ComputerToolCallOutputResource.md b/lib/docs/ComputerToolCallOutputResource.md
new file mode 100644
index 00000000..22dd640a
--- /dev/null
+++ b/lib/docs/ComputerToolCallOutputResource.md
@@ -0,0 +1,29 @@
+
+# ComputerToolCallOutputResource
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the computer tool call output. Always &#x60;computer_call_output&#x60;.  |  |
+| **id** | **kotlin.String** | The unique ID of the computer call tool output.  |  |
+| **callId** | **kotlin.String** | The ID of the computer tool call that produced the output.  |  |
+| **output** | [**ComputerScreenshotImage**](ComputerScreenshotImage.md) |  |  |
+| **acknowledgedSafetyChecks** | [**kotlin.collections.List&lt;ComputerToolCallSafetyCheck&gt;**](ComputerToolCallSafetyCheck.md) | The safety checks reported by the API that have been acknowledged by the  developer.  |  [optional] |
+| **status** | [**inline**](#Status) | The status of the message input. One of &#x60;in_progress&#x60;, &#x60;completed&#x60;, or &#x60;incomplete&#x60;. Populated when input items are returned via API.  |  [optional] |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | computer_call_output |
+
+
+<a id="Status"></a>
+## Enum: status
+| Name | Value |
+| ---- | ----- |
+| status | in_progress, completed, incomplete |
+
+
+
diff --git a/lib/docs/ComputerToolCallSafetyCheck.md b/lib/docs/ComputerToolCallSafetyCheck.md
new file mode 100644
index 00000000..e537830d
--- /dev/null
+++ b/lib/docs/ComputerToolCallSafetyCheck.md
@@ -0,0 +1,12 @@
+
+# ComputerToolCallSafetyCheck
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **id** | **kotlin.String** | The ID of the pending safety check. |  |
+| **code** | **kotlin.String** | The type of the pending safety check. |  |
+| **message** | **kotlin.String** | Details about the pending safety check. |  |
+
+
+
diff --git a/lib/docs/Content.md b/lib/docs/Content.md
new file mode 100644
index 00000000..40277f5a
--- /dev/null
+++ b/lib/docs/Content.md
@@ -0,0 +1,32 @@
+
+# Content
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the input item. Always &#x60;input_file&#x60;.  |  |
+| **text** | **kotlin.String** | The text output from the model.  |  |
+| **detail** | [**inline**](#Detail) | The detail level of the image to be sent to the model. One of &#x60;high&#x60;, &#x60;low&#x60;, or &#x60;auto&#x60;. Defaults to &#x60;auto&#x60;.  |  |
+| **annotations** | [**kotlin.collections.List&lt;Annotation&gt;**](Annotation.md) | The annotations of the text output.  |  |
+| **refusal** | **kotlin.String** | The refusal explanationfrom the model.  |  |
+| **imageUrl** | **kotlin.String** | The URL of the image to be sent to the model. A fully qualified URL or base64 encoded image in a data URL.  |  [optional] |
+| **fileId** | **kotlin.String** | The ID of the file to be sent to the model.  |  [optional] |
+| **filename** | **kotlin.String** | The name of the file to be sent to the model.  |  [optional] |
+| **fileData** | **kotlin.String** | The content of the file to be sent to the model.  |  [optional] |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | input_file, refusal |
+
+
+<a id="Detail"></a>
+## Enum: detail
+| Name | Value |
+| ---- | ----- |
+| detail | high, low, auto |
+
+
+
diff --git a/lib/docs/Coordinate.md b/lib/docs/Coordinate.md
new file mode 100644
index 00000000..0b396cce
--- /dev/null
+++ b/lib/docs/Coordinate.md
@@ -0,0 +1,11 @@
+
+# Coordinate
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **x** | **kotlin.Int** | The x-coordinate.  |  |
+| **y** | **kotlin.Int** | The y-coordinate.  |  |
+
+
+
diff --git a/lib/docs/CreateAssistantRequest.md b/lib/docs/CreateAssistantRequest.md
index f13c88df..392c4adb 100644
--- a/lib/docs/CreateAssistantRequest.md
+++ b/lib/docs/CreateAssistantRequest.md
@@ -14,7 +14,7 @@
 | **metadata** | **kotlin.collections.Map&lt;kotlin.String, kotlin.String&gt;** | Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard.   Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.  |  [optional] |
 | **temperature** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.  |  [optional] |
 | **topP** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.  We generally recommend altering this or temperature but not both.  |  [optional] |
-| **responseFormat** | [**AssistantObjectResponseFormat**](AssistantObjectResponseFormat.md) |  |  [optional] |
+| **responseFormat** | [**AssistantsApiResponseFormatOption**](AssistantsApiResponseFormatOption.md) |  |  [optional] |
 
 
 
diff --git a/lib/docs/CreateBatchRequest.md b/lib/docs/CreateBatchRequest.md
index 5eac7178..7808c3f1 100644
--- a/lib/docs/CreateBatchRequest.md
+++ b/lib/docs/CreateBatchRequest.md
@@ -5,7 +5,7 @@
 | Name | Type | Description | Notes |
 | ------------ | ------------- | ------------- | ------------- |
 | **inputFileId** | **kotlin.String** | The ID of an uploaded file that contains requests for the new batch.  See [upload file](/docs/api-reference/files/create) for how to upload a file.  Your input file must be formatted as a [JSONL file](/docs/api-reference/batch/request-input), and must be uploaded with the purpose &#x60;batch&#x60;. The file can contain up to 50,000 requests, and can be up to 200 MB in size.  |  |
-| **endpoint** | [**inline**](#Endpoint) | The endpoint to be used for all requests in the batch. Currently &#x60;/v1/chat/completions&#x60;, &#x60;/v1/embeddings&#x60;, and &#x60;/v1/completions&#x60; are supported. Note that &#x60;/v1/embeddings&#x60; batches are also restricted to a maximum of 50,000 embedding inputs across all requests in the batch. |  |
+| **endpoint** | [**inline**](#Endpoint) | The endpoint to be used for all requests in the batch. Currently &#x60;/v1/responses&#x60;, &#x60;/v1/chat/completions&#x60;, &#x60;/v1/embeddings&#x60;, and &#x60;/v1/completions&#x60; are supported. Note that &#x60;/v1/embeddings&#x60; batches are also restricted to a maximum of 50,000 embedding inputs across all requests in the batch. |  |
 | **completionWindow** | [**inline**](#CompletionWindow) | The time frame within which the batch should be processed. Currently only &#x60;24h&#x60; is supported. |  |
 | **metadata** | **kotlin.collections.Map&lt;kotlin.String, kotlin.String&gt;** | Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard.   Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.  |  [optional] |
 
@@ -14,7 +14,7 @@
 ## Enum: endpoint
 | Name | Value |
 | ---- | ----- |
-| endpoint | /v1/chat/completions, /v1/embeddings, /v1/completions |
+| endpoint | /v1/responses, /v1/chat/completions, /v1/embeddings, /v1/completions |
 
 
 <a id="CompletionWindow"></a>
diff --git a/lib/docs/CreateChatCompletionRequest.md b/lib/docs/CreateChatCompletionRequest.md
index aea96e50..5710ac4e 100644
--- a/lib/docs/CreateChatCompletionRequest.md
+++ b/lib/docs/CreateChatCompletionRequest.md
@@ -5,34 +5,35 @@
 | Name | Type | Description | Notes |
 | ------------ | ------------- | ------------- | ------------- |
 | **messages** | [**kotlin.collections.List&lt;ChatCompletionRequestMessage&gt;**](ChatCompletionRequestMessage.md) | A list of messages comprising the conversation so far. Depending on the [model](/docs/models) you use, different message types (modalities) are supported, like [text](/docs/guides/text-generation), [images](/docs/guides/vision), and [audio](/docs/guides/audio).  |  |
-| **model** | [**CreateChatCompletionRequestModel**](CreateChatCompletionRequestModel.md) |  |  |
-| **store** | **kotlin.Boolean** | Whether or not to store the output of this chat completion request for  use in our [model distillation](/docs/guides/distillation) or [evals](/docs/guides/evals) products.  |  [optional] |
-| **reasoningEffort** | [**ReasoningEffort**](ReasoningEffort.md) |  |  [optional] |
+| **model** | [**ModelIdsShared**](ModelIdsShared.md) |  |  |
 | **metadata** | **kotlin.collections.Map&lt;kotlin.String, kotlin.String&gt;** | Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard.   Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.  |  [optional] |
+| **temperature** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or &#x60;top_p&#x60; but not both.  |  [optional] |
+| **topP** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.  We generally recommend altering this or &#x60;temperature&#x60; but not both.  |  [optional] |
+| **user** | **kotlin.String** | A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices#end-user-ids).  |  [optional] |
+| **modalities** | [**inline**](#kotlin.collections.List&lt;Modalities&gt;) | Output types that you would like the model to generate. Most models are capable of generating text, which is the default:  &#x60;[\&quot;text\&quot;]&#x60;  The &#x60;gpt-4o-audio-preview&#x60; model can also be used to  [generate audio](/docs/guides/audio). To request that this model generate  both text and audio responses, you can use:  &#x60;[\&quot;text\&quot;, \&quot;audio\&quot;]&#x60;  |  [optional] |
+| **reasoningEffort** | [**ReasoningEffort**](ReasoningEffort.md) |  |  [optional] |
+| **maxCompletionTokens** | **kotlin.Int** | An upper bound for the number of tokens that can be generated for a completion, including visible output tokens and [reasoning tokens](/docs/guides/reasoning).  |  [optional] |
 | **frequencyPenalty** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model&#39;s likelihood to repeat the same line verbatim.  |  [optional] |
+| **presencePenalty** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model&#39;s likelihood to talk about new topics.  |  [optional] |
+| **webSearchOptions** | [**WebSearch**](WebSearch.md) |  |  [optional] |
+| **topLogprobs** | **kotlin.Int** | An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability. &#x60;logprobs&#x60; must be set to &#x60;true&#x60; if this parameter is used.  |  [optional] |
+| **responseFormat** | [**CreateChatCompletionRequestAllOfResponseFormat**](CreateChatCompletionRequestAllOfResponseFormat.md) |  |  [optional] |
+| **serviceTier** | [**inline**](#ServiceTier) | Specifies the latency tier to use for processing the request. This parameter is relevant for customers subscribed to the scale tier service:   - If set to &#39;auto&#39;, and the Project is Scale tier enabled, the system     will utilize scale tier credits until they are exhausted.   - If set to &#39;auto&#39;, and the Project is not Scale tier enabled, the request will be processed using the default service tier with a lower uptime SLA and no latency guarentee.   - If set to &#39;default&#39;, the request will be processed using the default service tier with a lower uptime SLA and no latency guarentee.   - When not set, the default behavior is &#39;auto&#39;.    When this parameter is set, the response body will include the &#x60;service_tier&#x60; utilized.  |  [optional] |
+| **audio** | [**CreateChatCompletionRequestAllOfAudio**](CreateChatCompletionRequestAllOfAudio.md) |  |  [optional] |
+| **store** | **kotlin.Boolean** | Whether or not to store the output of this chat completion request for  use in our [model distillation](/docs/guides/distillation) or [evals](/docs/guides/evals) products.  |  [optional] |
+| **stream** | **kotlin.Boolean** | If set to true, the model response data will be streamed to the client as it is generated using [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format). See the [Streaming section below](/docs/api-reference/chat/streaming) for more information, along with the [streaming responses](/docs/guides/streaming-responses) guide for more information on how to handle the streaming events.  |  [optional] |
+| **stop** | [**StopConfiguration**](StopConfiguration.md) |  |  [optional] |
 | **logitBias** | **kotlin.collections.Map&lt;kotlin.String, kotlin.Int&gt;** | Modify the likelihood of specified tokens appearing in the completion.  Accepts a JSON object that maps tokens (specified by their token ID in the tokenizer) to an associated bias value from -100 to 100. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token.  |  [optional] |
 | **logprobs** | **kotlin.Boolean** | Whether to return log probabilities of the output tokens or not. If true, returns the log probabilities of each output token returned in the &#x60;content&#x60; of &#x60;message&#x60;.  |  [optional] |
-| **topLogprobs** | **kotlin.Int** | An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability. &#x60;logprobs&#x60; must be set to &#x60;true&#x60; if this parameter is used.  |  [optional] |
 | **maxTokens** | **kotlin.Int** | The maximum number of [tokens](/tokenizer) that can be generated in the chat completion. This value can be used to control [costs](https://openai.com/api/pricing/) for text generated via API.  This value is now deprecated in favor of &#x60;max_completion_tokens&#x60;, and is not compatible with [o1 series models](/docs/guides/reasoning).  |  [optional] |
-| **maxCompletionTokens** | **kotlin.Int** | An upper bound for the number of tokens that can be generated for a completion, including visible output tokens and [reasoning tokens](/docs/guides/reasoning).  |  [optional] |
 | **n** | **kotlin.Int** | How many chat completion choices to generate for each input message. Note that you will be charged based on the number of generated tokens across all of the choices. Keep &#x60;n&#x60; as &#x60;1&#x60; to minimize costs. |  [optional] |
-| **modalities** | [**inline**](#kotlin.collections.List&lt;Modalities&gt;) | Output types that you would like the model to generate for this request. Most models are capable of generating text, which is the default:  &#x60;[\&quot;text\&quot;]&#x60;  The &#x60;gpt-4o-audio-preview&#x60; model can also be used to [generate audio](/docs/guides/audio). To request that this model generate both text and audio responses, you can use:  &#x60;[\&quot;text\&quot;, \&quot;audio\&quot;]&#x60;  |  [optional] |
-| **prediction** | [**CreateChatCompletionRequestPrediction**](CreateChatCompletionRequestPrediction.md) |  |  [optional] |
-| **audio** | [**CreateChatCompletionRequestAudio**](CreateChatCompletionRequestAudio.md) |  |  [optional] |
-| **presencePenalty** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model&#39;s likelihood to talk about new topics.  |  [optional] |
-| **responseFormat** | [**CreateChatCompletionRequestResponseFormat**](CreateChatCompletionRequestResponseFormat.md) |  |  [optional] |
+| **prediction** | [**CreateChatCompletionRequestAllOfPrediction**](CreateChatCompletionRequestAllOfPrediction.md) |  |  [optional] |
 | **seed** | **kotlin.Long** | This feature is in Beta. If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same &#x60;seed&#x60; and parameters should return the same result. Determinism is not guaranteed, and you should refer to the &#x60;system_fingerprint&#x60; response parameter to monitor changes in the backend.  |  [optional] |
-| **serviceTier** | [**inline**](#ServiceTier) | Specifies the latency tier to use for processing the request. This parameter is relevant for customers subscribed to the scale tier service:   - If set to &#39;auto&#39;, and the Project is Scale tier enabled, the system will utilize scale tier credits until they are exhausted.   - If set to &#39;auto&#39;, and the Project is not Scale tier enabled, the request will be processed using the default service tier with a lower uptime SLA and no latency guarantee.   - If set to &#39;default&#39;, the request will be processed using the default service tier with a lower uptime SLA and no latency guarantee.   - When not set, the default behavior is &#39;auto&#39;.  |  [optional] |
-| **stop** | [**CreateChatCompletionRequestStop**](CreateChatCompletionRequestStop.md) |  |  [optional] |
-| **stream** | **kotlin.Boolean** | If set, partial message deltas will be sent, like in ChatGPT. Tokens will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available, with the stream terminated by a &#x60;data: [DONE]&#x60; message. [Example Python code](https://cookbook.openai.com/examples/how_to_stream_completions).  |  [optional] |
 | **streamOptions** | [**ChatCompletionStreamOptions**](ChatCompletionStreamOptions.md) |  |  [optional] |
-| **temperature** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or &#x60;top_p&#x60; but not both.  |  [optional] |
-| **topP** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.  We generally recommend altering this or &#x60;temperature&#x60; but not both.  |  [optional] |
 | **tools** | [**kotlin.collections.List&lt;ChatCompletionTool&gt;**](ChatCompletionTool.md) | A list of tools the model may call. Currently, only functions are supported as a tool. Use this to provide a list of functions the model may generate JSON inputs for. A max of 128 functions are supported.  |  [optional] |
 | **toolChoice** | [**ChatCompletionToolChoiceOption**](ChatCompletionToolChoiceOption.md) |  |  [optional] |
 | **parallelToolCalls** | **kotlin.Boolean** | Whether to enable [parallel function calling](/docs/guides/function-calling#configuring-parallel-function-calling) during tool use. |  [optional] |
-| **user** | **kotlin.String** | A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices#end-user-ids).  |  [optional] |
-| **functionCall** | [**CreateChatCompletionRequestFunctionCall**](CreateChatCompletionRequestFunctionCall.md) |  |  [optional] |
+| **functionCall** | [**CreateChatCompletionRequestAllOfFunctionCall**](CreateChatCompletionRequestAllOfFunctionCall.md) |  |  [optional] |
 | **functions** | [**kotlin.collections.List&lt;ChatCompletionFunctions&gt;**](ChatCompletionFunctions.md) | Deprecated in favor of &#x60;tools&#x60;.  A list of functions the model may generate JSON inputs for.  |  [optional] |
 
 
diff --git a/lib/docs/CreateChatCompletionRequestAllOfAudio.md b/lib/docs/CreateChatCompletionRequestAllOfAudio.md
new file mode 100644
index 00000000..9e4baeaf
--- /dev/null
+++ b/lib/docs/CreateChatCompletionRequestAllOfAudio.md
@@ -0,0 +1,18 @@
+
+# CreateChatCompletionRequestAllOfAudio
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **voice** | [**VoiceIdsShared**](VoiceIdsShared.md) |  |  |
+| **format** | [**inline**](#Format) | Specifies the output audio format. Must be one of &#x60;wav&#x60;, &#x60;mp3&#x60;, &#x60;flac&#x60;, &#x60;opus&#x60;, or &#x60;pcm16&#x60;.  |  |
+
+
+<a id="Format"></a>
+## Enum: format
+| Name | Value |
+| ---- | ----- |
+| format | wav, mp3, flac, opus, pcm16 |
+
+
+
diff --git a/lib/docs/CreateChatCompletionRequestFunctionCall.md b/lib/docs/CreateChatCompletionRequestAllOfFunctionCall.md
similarity index 80%
rename from lib/docs/CreateChatCompletionRequestFunctionCall.md
rename to lib/docs/CreateChatCompletionRequestAllOfFunctionCall.md
index 485799b5..56231dc0 100644
--- a/lib/docs/CreateChatCompletionRequestFunctionCall.md
+++ b/lib/docs/CreateChatCompletionRequestAllOfFunctionCall.md
@@ -1,5 +1,5 @@
 
-# CreateChatCompletionRequestFunctionCall
+# CreateChatCompletionRequestAllOfFunctionCall
 
 ## Properties
 | Name | Type | Description | Notes |
diff --git a/lib/docs/CreateChatCompletionRequestPrediction.md b/lib/docs/CreateChatCompletionRequestAllOfPrediction.md
similarity index 90%
rename from lib/docs/CreateChatCompletionRequestPrediction.md
rename to lib/docs/CreateChatCompletionRequestAllOfPrediction.md
index 9d776145..09e6c4e9 100644
--- a/lib/docs/CreateChatCompletionRequestPrediction.md
+++ b/lib/docs/CreateChatCompletionRequestAllOfPrediction.md
@@ -1,5 +1,5 @@
 
-# CreateChatCompletionRequestPrediction
+# CreateChatCompletionRequestAllOfPrediction
 
 ## Properties
 | Name | Type | Description | Notes |
diff --git a/lib/docs/AssistantObjectResponseFormat.md b/lib/docs/CreateChatCompletionRequestAllOfResponseFormat.md
similarity index 55%
rename from lib/docs/AssistantObjectResponseFormat.md
rename to lib/docs/CreateChatCompletionRequestAllOfResponseFormat.md
index 9f3744e9..bc51fad9 100644
--- a/lib/docs/AssistantObjectResponseFormat.md
+++ b/lib/docs/CreateChatCompletionRequestAllOfResponseFormat.md
@@ -1,18 +1,18 @@
 
-# AssistantObjectResponseFormat
+# CreateChatCompletionRequestAllOfResponseFormat
 
 ## Properties
 | Name | Type | Description | Notes |
 | ------------ | ------------- | ------------- | ------------- |
-| **type** | [**inline**](#Type) | The type of response format being defined: &#x60;json_schema&#x60; |  |
-| **jsonSchema** | [**ResponseFormatJsonSchemaJsonSchema**](ResponseFormatJsonSchemaJsonSchema.md) |  |  |
+| **type** | [**inline**](#Type) | The type of response format being defined. Always &#x60;text&#x60;. |  |
+| **jsonSchema** | [**JSONSchema**](JSONSchema.md) |  |  |
 
 
 <a id="Type"></a>
 ## Enum: type
 | Name | Value |
 | ---- | ----- |
-| type | json_schema |
+| type | text, json_schema, json_object |
 
 
 
diff --git a/lib/docs/CreateChatCompletionRequestAudio.md b/lib/docs/CreateChatCompletionRequestAudio.md
deleted file mode 100644
index 23385b61..00000000
--- a/lib/docs/CreateChatCompletionRequestAudio.md
+++ /dev/null
@@ -1,25 +0,0 @@
-
-# CreateChatCompletionRequestAudio
-
-## Properties
-| Name | Type | Description | Notes |
-| ------------ | ------------- | ------------- | ------------- |
-| **voice** | [**inline**](#Voice) | The voice the model uses to respond. Supported voices are &#x60;ash&#x60;, &#x60;ballad&#x60;, &#x60;coral&#x60;, &#x60;sage&#x60;, and &#x60;verse&#x60; (also supported but not recommended are &#x60;alloy&#x60;, &#x60;echo&#x60;, and &#x60;shimmer&#x60;; these voices are less expressive).  |  |
-| **format** | [**inline**](#Format) | Specifies the output audio format. Must be one of &#x60;wav&#x60;, &#x60;mp3&#x60;, &#x60;flac&#x60;, &#x60;opus&#x60;, or &#x60;pcm16&#x60;.  |  |
-
-
-<a id="Voice"></a>
-## Enum: voice
-| Name | Value |
-| ---- | ----- |
-| voice | alloy, ash, ballad, coral, echo, sage, shimmer, verse |
-
-
-<a id="Format"></a>
-## Enum: format
-| Name | Value |
-| ---- | ----- |
-| format | wav, mp3, flac, opus, pcm16 |
-
-
-
diff --git a/lib/docs/CreateChatCompletionRequestResponseFormat.md b/lib/docs/CreateChatCompletionRequestResponseFormat.md
deleted file mode 100644
index 6e81ed00..00000000
--- a/lib/docs/CreateChatCompletionRequestResponseFormat.md
+++ /dev/null
@@ -1,18 +0,0 @@
-
-# CreateChatCompletionRequestResponseFormat
-
-## Properties
-| Name | Type | Description | Notes |
-| ------------ | ------------- | ------------- | ------------- |
-| **type** | [**inline**](#Type) | The type of response format being defined: &#x60;text&#x60; |  |
-| **jsonSchema** | [**ResponseFormatJsonSchemaJsonSchema**](ResponseFormatJsonSchemaJsonSchema.md) |  |  |
-
-
-<a id="Type"></a>
-## Enum: type
-| Name | Value |
-| ---- | ----- |
-| type | text, json_object, json_schema |
-
-
-
diff --git a/lib/docs/CreateChatCompletionStreamResponse.md b/lib/docs/CreateChatCompletionStreamResponse.md
index eccf2788..b0bd4dc8 100644
--- a/lib/docs/CreateChatCompletionStreamResponse.md
+++ b/lib/docs/CreateChatCompletionStreamResponse.md
@@ -11,7 +11,7 @@
 | **&#x60;object&#x60;** | [**inline**](#&#x60;Object&#x60;) | The object type, which is always &#x60;chat.completion.chunk&#x60;. |  |
 | **serviceTier** | [**inline**](#ServiceTier) | The service tier used for processing the request. |  [optional] |
 | **systemFingerprint** | **kotlin.String** | This fingerprint represents the backend configuration that the model runs with. Can be used in conjunction with the &#x60;seed&#x60; request parameter to understand when backend changes have been made that might impact determinism.  |  [optional] |
-| **usage** | [**CreateChatCompletionStreamResponseUsage**](CreateChatCompletionStreamResponseUsage.md) |  |  [optional] |
+| **usage** | [**CompletionUsage**](CompletionUsage.md) |  |  [optional] |
 
 
 <a id="`Object`"></a>
diff --git a/lib/docs/CreateChatCompletionStreamResponseUsage.md b/lib/docs/CreateChatCompletionStreamResponseUsage.md
deleted file mode 100644
index 8fed09c0..00000000
--- a/lib/docs/CreateChatCompletionStreamResponseUsage.md
+++ /dev/null
@@ -1,12 +0,0 @@
-
-# CreateChatCompletionStreamResponseUsage
-
-## Properties
-| Name | Type | Description | Notes |
-| ------------ | ------------- | ------------- | ------------- |
-| **completionTokens** | **kotlin.Int** | Number of tokens in the generated completion. |  |
-| **promptTokens** | **kotlin.Int** | Number of tokens in the prompt. |  |
-| **totalTokens** | **kotlin.Int** | Total number of tokens used in the request (prompt + completion). |  |
-
-
-
diff --git a/lib/docs/CreateCompletionRequest.md b/lib/docs/CreateCompletionRequest.md
index 593d078a..0a6f8296 100644
--- a/lib/docs/CreateCompletionRequest.md
+++ b/lib/docs/CreateCompletionRequest.md
@@ -15,7 +15,7 @@
 | **n** | **kotlin.Int** | How many completions to generate for each prompt.  **Note:** Because this parameter generates many completions, it can quickly consume your token quota. Use carefully and ensure that you have reasonable settings for &#x60;max_tokens&#x60; and &#x60;stop&#x60;.  |  [optional] |
 | **presencePenalty** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model&#39;s likelihood to talk about new topics.  [See more information about frequency and presence penalties.](/docs/guides/text-generation)  |  [optional] |
 | **seed** | **kotlin.Long** | If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same &#x60;seed&#x60; and parameters should return the same result.  Determinism is not guaranteed, and you should refer to the &#x60;system_fingerprint&#x60; response parameter to monitor changes in the backend.  |  [optional] |
-| **stop** | [**CreateCompletionRequestStop**](CreateCompletionRequestStop.md) |  |  [optional] |
+| **stop** | [**StopConfiguration**](StopConfiguration.md) |  |  [optional] |
 | **stream** | **kotlin.Boolean** | Whether to stream back partial progress. If set, tokens will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available, with the stream terminated by a &#x60;data: [DONE]&#x60; message. [Example Python code](https://cookbook.openai.com/examples/how_to_stream_completions).  |  [optional] |
 | **streamOptions** | [**ChatCompletionStreamOptions**](ChatCompletionStreamOptions.md) |  |  [optional] |
 | **suffix** | **kotlin.String** | The suffix that comes after a completion of inserted text.  This parameter is only supported for &#x60;gpt-3.5-turbo-instruct&#x60;.  |  [optional] |
diff --git a/lib/docs/CreateFineTuningCheckpointPermissionRequest.md b/lib/docs/CreateFineTuningCheckpointPermissionRequest.md
new file mode 100644
index 00000000..086586f9
--- /dev/null
+++ b/lib/docs/CreateFineTuningCheckpointPermissionRequest.md
@@ -0,0 +1,10 @@
+
+# CreateFineTuningCheckpointPermissionRequest
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **projectIds** | **kotlin.collections.List&lt;kotlin.String&gt;** | The project identifiers to grant access to. |  |
+
+
+
diff --git a/lib/docs/CreateFineTuningJobRequest.md b/lib/docs/CreateFineTuningJobRequest.md
index 6af07a98..3cada5b1 100644
--- a/lib/docs/CreateFineTuningJobRequest.md
+++ b/lib/docs/CreateFineTuningJobRequest.md
@@ -12,6 +12,7 @@
 | **integrations** | [**kotlin.collections.List&lt;CreateFineTuningJobRequestIntegrationsInner&gt;**](CreateFineTuningJobRequestIntegrationsInner.md) | A list of integrations to enable for your fine-tuning job. |  [optional] |
 | **seed** | **kotlin.Int** | The seed controls the reproducibility of the job. Passing in the same seed and job parameters should produce the same results, but may differ in rare cases. If a seed is not specified, one will be generated for you.  |  [optional] |
 | **method** | [**FineTuneMethod**](FineTuneMethod.md) |  |  [optional] |
+| **metadata** | **kotlin.collections.Map&lt;kotlin.String, kotlin.String&gt;** | Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard.   Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.  |  [optional] |
 
 
 
diff --git a/lib/docs/CreateModelResponseProperties.md b/lib/docs/CreateModelResponseProperties.md
new file mode 100644
index 00000000..84983f27
--- /dev/null
+++ b/lib/docs/CreateModelResponseProperties.md
@@ -0,0 +1,13 @@
+
+# CreateModelResponseProperties
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **metadata** | **kotlin.collections.Map&lt;kotlin.String, kotlin.String&gt;** | Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard.   Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.  |  [optional] |
+| **temperature** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or &#x60;top_p&#x60; but not both.  |  [optional] |
+| **topP** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.  We generally recommend altering this or &#x60;temperature&#x60; but not both.  |  [optional] |
+| **user** | **kotlin.String** | A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices#end-user-ids).  |  [optional] |
+
+
+
diff --git a/lib/docs/CreateResponse.md b/lib/docs/CreateResponse.md
new file mode 100644
index 00000000..8c68b4d8
--- /dev/null
+++ b/lib/docs/CreateResponse.md
@@ -0,0 +1,34 @@
+
+# CreateResponse
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **model** | [**ModelIdsResponses**](ModelIdsResponses.md) |  |  |
+| **input** | [**CreateResponseAllOfInput**](CreateResponseAllOfInput.md) |  |  |
+| **metadata** | **kotlin.collections.Map&lt;kotlin.String, kotlin.String&gt;** | Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard.   Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.  |  [optional] |
+| **temperature** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or &#x60;top_p&#x60; but not both.  |  [optional] |
+| **topP** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.  We generally recommend altering this or &#x60;temperature&#x60; but not both.  |  [optional] |
+| **user** | **kotlin.String** | A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices#end-user-ids).  |  [optional] |
+| **previousResponseId** | **kotlin.String** | The unique ID of the previous response to the model. Use this to create multi-turn conversations. Learn more about  [conversation state](/docs/guides/conversation-state).  |  [optional] |
+| **reasoning** | [**Reasoning**](Reasoning.md) |  |  [optional] |
+| **maxOutputTokens** | **kotlin.Int** | An upper bound for the number of tokens that can be generated for a response, including visible output tokens and [reasoning tokens](/docs/guides/reasoning).  |  [optional] |
+| **instructions** | **kotlin.String** | Inserts a system (or developer) message as the first item in the model&#39;s context.  When using along with &#x60;previous_response_id&#x60;, the instructions from a previous response will be not be carried over to the next response. This makes it simple to swap out system (or developer) messages in new responses.  |  [optional] |
+| **text** | [**ResponsePropertiesText**](ResponsePropertiesText.md) |  |  [optional] |
+| **tools** | [**kotlin.collections.List&lt;Tool&gt;**](Tool.md) | An array of tools the model may call while generating a response. You  can specify which tool to use by setting the &#x60;tool_choice&#x60; parameter.  The two categories of tools you can provide the model are:  - **Built-in tools**: Tools that are provided by OpenAI that extend the   model&#39;s capabilities, like [web search](/docs/guides/tools-web-search)   or [file search](/docs/guides/tools-file-search). Learn more about   [built-in tools](/docs/guides/tools). - **Function calls (custom tools)**: Functions that are defined by you,   enabling the model to call your own code. Learn more about   [function calling](/docs/guides/function-calling).  |  [optional] |
+| **toolChoice** | [**ResponsePropertiesToolChoice**](ResponsePropertiesToolChoice.md) |  |  [optional] |
+| **truncation** | [**inline**](#Truncation) | The truncation strategy to use for the model response. - &#x60;auto&#x60;: If the context of this response and previous ones exceeds   the model&#39;s context window size, the model will truncate the    response to fit the context window by dropping input items in the   middle of the conversation.  - &#x60;disabled&#x60; (default): If a model response will exceed the context window    size for a model, the request will fail with a 400 error.  |  [optional] |
+| **include** | [**kotlin.collections.List&lt;Includable&gt;**](Includable.md) | Specify additional output data to include in the model response. Currently supported values are: - &#x60;file_search_call.results&#x60;: Include the search results of   the file search tool call. - &#x60;message.input_image.image_url&#x60;: Include image urls from the input message. - &#x60;computer_call_output.output.image_url&#x60;: Include image urls from the computer call output.  |  [optional] |
+| **parallelToolCalls** | **kotlin.Boolean** | Whether to allow the model to run tool calls in parallel.  |  [optional] |
+| **store** | **kotlin.Boolean** | Whether to store the generated model response for later retrieval via API.  |  [optional] |
+| **stream** | **kotlin.Boolean** | If set to true, the model response data will be streamed to the client as it is generated using [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format). See the [Streaming section below](/docs/api-reference/responses-streaming) for more information.  |  [optional] |
+
+
+<a id="Truncation"></a>
+## Enum: truncation
+| Name | Value |
+| ---- | ----- |
+| truncation | auto, disabled |
+
+
+
diff --git a/lib/docs/CreateChatCompletionRequestStop.md b/lib/docs/CreateResponseAllOfInput.md
similarity index 78%
rename from lib/docs/CreateChatCompletionRequestStop.md
rename to lib/docs/CreateResponseAllOfInput.md
index ba6f3832..213147ec 100644
--- a/lib/docs/CreateChatCompletionRequestStop.md
+++ b/lib/docs/CreateResponseAllOfInput.md
@@ -1,5 +1,5 @@
 
-# CreateChatCompletionRequestStop
+# CreateResponseAllOfInput
 
 ## Properties
 | Name | Type | Description | Notes |
diff --git a/lib/docs/CreateRunRequest.md b/lib/docs/CreateRunRequest.md
index 60dac20a..e225d187 100644
--- a/lib/docs/CreateRunRequest.md
+++ b/lib/docs/CreateRunRequest.md
@@ -20,7 +20,7 @@
 | **truncationStrategy** | [**CreateRunRequestTruncationStrategy**](CreateRunRequestTruncationStrategy.md) |  |  [optional] |
 | **toolChoice** | [**CreateRunRequestToolChoice**](CreateRunRequestToolChoice.md) |  |  [optional] |
 | **parallelToolCalls** | **kotlin.Boolean** | Whether to enable [parallel function calling](/docs/guides/function-calling#configuring-parallel-function-calling) during tool use. |  [optional] |
-| **responseFormat** | [**AssistantObjectResponseFormat**](AssistantObjectResponseFormat.md) |  |  [optional] |
+| **responseFormat** | [**AssistantsApiResponseFormatOption**](AssistantsApiResponseFormatOption.md) |  |  [optional] |
 
 
 
diff --git a/lib/docs/CreateSpeechRequest.md b/lib/docs/CreateSpeechRequest.md
index 6240facf..f41f6bea 100644
--- a/lib/docs/CreateSpeechRequest.md
+++ b/lib/docs/CreateSpeechRequest.md
@@ -6,18 +6,12 @@
 | ------------ | ------------- | ------------- | ------------- |
 | **model** | [**CreateSpeechRequestModel**](CreateSpeechRequestModel.md) |  |  |
 | **input** | **kotlin.String** | The text to generate audio for. The maximum length is 4096 characters. |  |
-| **voice** | [**inline**](#Voice) | The voice to use when generating the audio. Supported voices are &#x60;alloy&#x60;, &#x60;ash&#x60;, &#x60;coral&#x60;, &#x60;echo&#x60;, &#x60;fable&#x60;, &#x60;onyx&#x60;, &#x60;nova&#x60;, &#x60;sage&#x60; and &#x60;shimmer&#x60;. Previews of the voices are available in the [Text to speech guide](/docs/guides/text-to-speech#voice-options). |  |
+| **voice** | [**VoiceIdsShared**](VoiceIdsShared.md) |  |  |
+| **instructions** | **kotlin.String** | Control the voice of your generated audio with additional instructions. Does not work with &#x60;tts-1&#x60; or &#x60;tts-1-hd&#x60;. |  [optional] |
 | **responseFormat** | [**inline**](#ResponseFormat) | The format to audio in. Supported formats are &#x60;mp3&#x60;, &#x60;opus&#x60;, &#x60;aac&#x60;, &#x60;flac&#x60;, &#x60;wav&#x60;, and &#x60;pcm&#x60;. |  [optional] |
 | **speed** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | The speed of the generated audio. Select a value from &#x60;0.25&#x60; to &#x60;4.0&#x60;. &#x60;1.0&#x60; is the default. |  [optional] |
 
 
-<a id="Voice"></a>
-## Enum: voice
-| Name | Value |
-| ---- | ----- |
-| voice | alloy, ash, coral, echo, fable, onyx, nova, sage, shimmer |
-
-
 <a id="ResponseFormat"></a>
 ## Enum: response_format
 | Name | Value |
diff --git a/lib/docs/CreateThreadAndRunRequest.md b/lib/docs/CreateThreadAndRunRequest.md
index ff5c3f2d..d1de9d1a 100644
--- a/lib/docs/CreateThreadAndRunRequest.md
+++ b/lib/docs/CreateThreadAndRunRequest.md
@@ -19,7 +19,7 @@
 | **truncationStrategy** | [**CreateRunRequestTruncationStrategy**](CreateRunRequestTruncationStrategy.md) |  |  [optional] |
 | **toolChoice** | [**CreateRunRequestToolChoice**](CreateRunRequestToolChoice.md) |  |  [optional] |
 | **parallelToolCalls** | **kotlin.Boolean** | Whether to enable [parallel function calling](/docs/guides/function-calling#configuring-parallel-function-calling) during tool use. |  [optional] |
-| **responseFormat** | [**AssistantObjectResponseFormat**](AssistantObjectResponseFormat.md) |  |  [optional] |
+| **responseFormat** | [**AssistantsApiResponseFormatOption**](AssistantsApiResponseFormatOption.md) |  |  [optional] |
 
 
 
diff --git a/lib/docs/CreateTranscription200Response.md b/lib/docs/CreateTranscription200Response.md
index e41839aa..362fae94 100644
--- a/lib/docs/CreateTranscription200Response.md
+++ b/lib/docs/CreateTranscription200Response.md
@@ -7,6 +7,7 @@
 | **text** | **kotlin.String** | The transcribed text. |  |
 | **language** | **kotlin.String** | The language of the input audio. |  |
 | **duration** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | The duration of the input audio. |  |
+| **logprobs** | [**kotlin.collections.List&lt;LogProbProperties&gt;**](LogProbProperties.md) | The log probabilities of the tokens in the transcription. Only returned with the models &#x60;gpt-4o-transcribe&#x60; and &#x60;gpt-4o-mini-transcribe&#x60; if &#x60;logprobs&#x60; is added to the &#x60;include&#x60; array.  |  [optional] |
 | **words** | [**kotlin.collections.List&lt;TranscriptionWord&gt;**](TranscriptionWord.md) | Extracted words and their corresponding timestamps. |  [optional] |
 | **segments** | [**kotlin.collections.List&lt;TranscriptionSegment&gt;**](TranscriptionSegment.md) | Segments of the transcribed text and their corresponding details. |  [optional] |
 
diff --git a/lib/docs/CreateTranscriptionResponseJson.md b/lib/docs/CreateTranscriptionResponseJson.md
index c814d8a3..f6758229 100644
--- a/lib/docs/CreateTranscriptionResponseJson.md
+++ b/lib/docs/CreateTranscriptionResponseJson.md
@@ -5,6 +5,7 @@
 | Name | Type | Description | Notes |
 | ------------ | ------------- | ------------- | ------------- |
 | **text** | **kotlin.String** | The transcribed text. |  |
+| **logprobs** | [**kotlin.collections.List&lt;LogProbProperties&gt;**](LogProbProperties.md) | The log probabilities of the tokens in the transcription. Only returned with the models &#x60;gpt-4o-transcribe&#x60; and &#x60;gpt-4o-mini-transcribe&#x60; if &#x60;logprobs&#x60; is added to the &#x60;include&#x60; array.  |  [optional] |
 
 
 
diff --git a/lib/docs/CreateTranscriptionResponseStreamEvent.md b/lib/docs/CreateTranscriptionResponseStreamEvent.md
new file mode 100644
index 00000000..828b5d8f
--- /dev/null
+++ b/lib/docs/CreateTranscriptionResponseStreamEvent.md
@@ -0,0 +1,20 @@
+
+# CreateTranscriptionResponseStreamEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;transcript.text.delta&#x60;.  |  |
+| **delta** | **kotlin.String** | The text delta that was additionally transcribed.  |  |
+| **text** | **kotlin.String** | The text that was transcribed.  |  |
+| **logprobs** | [**kotlin.collections.List&lt;LogProbProperties&gt;**](LogProbProperties.md) | The log probabilities of the individual tokens in the transcription. Only included if you [create a transcription](/docs/api-reference/audio/create-transcription) with the &#x60;include[]&#x60; parameter set to &#x60;logprobs&#x60;.  |  [optional] |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | transcript.text.delta, transcript.text.done |
+
+
+
diff --git a/lib/docs/CreateChatCompletionRequestModel.md b/lib/docs/CreateTranslationRequestModel.md
similarity index 77%
rename from lib/docs/CreateChatCompletionRequestModel.md
rename to lib/docs/CreateTranslationRequestModel.md
index 79e183b4..bb1762b9 100644
--- a/lib/docs/CreateChatCompletionRequestModel.md
+++ b/lib/docs/CreateTranslationRequestModel.md
@@ -1,5 +1,5 @@
 
-# CreateChatCompletionRequestModel
+# CreateTranslationRequestModel
 
 ## Properties
 | Name | Type | Description | Notes |
diff --git a/lib/docs/CreateVectorStoreFileBatchRequest.md b/lib/docs/CreateVectorStoreFileBatchRequest.md
index af996d24..f4f4317d 100644
--- a/lib/docs/CreateVectorStoreFileBatchRequest.md
+++ b/lib/docs/CreateVectorStoreFileBatchRequest.md
@@ -6,6 +6,7 @@
 | ------------ | ------------- | ------------- | ------------- |
 | **fileIds** | **kotlin.collections.List&lt;kotlin.String&gt;** | A list of [File](/docs/api-reference/files) IDs that the vector store should use. Useful for tools like &#x60;file_search&#x60; that can access files. |  |
 | **chunkingStrategy** | [**ChunkingStrategyRequestParam**](ChunkingStrategyRequestParam.md) |  |  [optional] |
+| **attributes** | [**kotlin.collections.Map&lt;kotlin.String, VectorStoreFileAttributesValue&gt;**](VectorStoreFileAttributesValue.md) | Set of 16 key-value pairs that can be attached to an object. This can be  useful for storing additional information about the object in a structured  format, and querying for objects via API or the dashboard. Keys are strings  with a maximum length of 64 characters. Values are strings with a maximum  length of 512 characters, booleans, or numbers.  |  [optional] |
 
 
 
diff --git a/lib/docs/CreateVectorStoreFileRequest.md b/lib/docs/CreateVectorStoreFileRequest.md
index 02a4c6a9..02320838 100644
--- a/lib/docs/CreateVectorStoreFileRequest.md
+++ b/lib/docs/CreateVectorStoreFileRequest.md
@@ -6,6 +6,7 @@
 | ------------ | ------------- | ------------- | ------------- |
 | **fileId** | **kotlin.String** | A [File](/docs/api-reference/files) ID that the vector store should use. Useful for tools like &#x60;file_search&#x60; that can access files. |  |
 | **chunkingStrategy** | [**ChunkingStrategyRequestParam**](ChunkingStrategyRequestParam.md) |  |  [optional] |
+| **attributes** | [**kotlin.collections.Map&lt;kotlin.String, VectorStoreFileAttributesValue&gt;**](VectorStoreFileAttributesValue.md) | Set of 16 key-value pairs that can be attached to an object. This can be  useful for storing additional information about the object in a structured  format, and querying for objects via API or the dashboard. Keys are strings  with a maximum length of 64 characters. Values are strings with a maximum  length of 512 characters, booleans, or numbers.  |  [optional] |
 
 
 
diff --git a/lib/docs/DeleteFineTuningCheckpointPermissionResponse.md b/lib/docs/DeleteFineTuningCheckpointPermissionResponse.md
new file mode 100644
index 00000000..e6e2cf41
--- /dev/null
+++ b/lib/docs/DeleteFineTuningCheckpointPermissionResponse.md
@@ -0,0 +1,19 @@
+
+# DeleteFineTuningCheckpointPermissionResponse
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **id** | **kotlin.String** | The ID of the fine-tuned model checkpoint permission that was deleted. |  |
+| **&#x60;object&#x60;** | [**inline**](#&#x60;Object&#x60;) | The object type, which is always \&quot;checkpoint.permission\&quot;. |  |
+| **deleted** | **kotlin.Boolean** | Whether the fine-tuned model checkpoint permission was successfully deleted. |  |
+
+
+<a id="`Object`"></a>
+## Enum: object
+| Name | Value |
+| ---- | ----- |
+| &#x60;object&#x60; | checkpoint.permission |
+
+
+
diff --git a/lib/docs/DoubleClick.md b/lib/docs/DoubleClick.md
new file mode 100644
index 00000000..8d42b2cb
--- /dev/null
+++ b/lib/docs/DoubleClick.md
@@ -0,0 +1,19 @@
+
+# DoubleClick
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | Specifies the event type. For a double click action, this property is  always set to &#x60;double_click&#x60;.  |  |
+| **x** | **kotlin.Int** | The x-coordinate where the double click occurred.  |  |
+| **y** | **kotlin.Int** | The y-coordinate where the double click occurred.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | double_click |
+
+
+
diff --git a/lib/docs/Drag.md b/lib/docs/Drag.md
new file mode 100644
index 00000000..0a4e9ad6
--- /dev/null
+++ b/lib/docs/Drag.md
@@ -0,0 +1,18 @@
+
+# Drag
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | Specifies the event type. For a drag action, this property is  always set to &#x60;drag&#x60;.  |  |
+| **path** | [**kotlin.collections.List&lt;Coordinate&gt;**](Coordinate.md) | An array of coordinates representing the path of the drag action. Coordinates will appear as an array of objects, eg &#x60;&#x60;&#x60; [   { x: 100, y: 200 },   { x: 200, y: 300 } ] &#x60;&#x60;&#x60;  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | drag |
+
+
+
diff --git a/lib/docs/EasyInputMessage.md b/lib/docs/EasyInputMessage.md
new file mode 100644
index 00000000..8ba92d2e
--- /dev/null
+++ b/lib/docs/EasyInputMessage.md
@@ -0,0 +1,26 @@
+
+# EasyInputMessage
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **role** | [**inline**](#Role) | The role of the message input. One of &#x60;user&#x60;, &#x60;assistant&#x60;, &#x60;system&#x60;, or &#x60;developer&#x60;.  |  |
+| **content** | [**EasyInputMessageContent**](EasyInputMessageContent.md) |  |  |
+| **type** | [**inline**](#Type) | The type of the message input. Always &#x60;message&#x60;.  |  [optional] |
+
+
+<a id="Role"></a>
+## Enum: role
+| Name | Value |
+| ---- | ----- |
+| role | user, assistant, system, developer |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | message |
+
+
+
diff --git a/lib/docs/EasyInputMessageContent.md b/lib/docs/EasyInputMessageContent.md
new file mode 100644
index 00000000..9029a73c
--- /dev/null
+++ b/lib/docs/EasyInputMessageContent.md
@@ -0,0 +1,9 @@
+
+# EasyInputMessageContent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+
+
+
diff --git a/lib/docs/FileCitation.md b/lib/docs/FileCitation.md
new file mode 100644
index 00000000..af0c0f22
--- /dev/null
+++ b/lib/docs/FileCitation.md
@@ -0,0 +1,19 @@
+
+# FileCitation
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the file citation. Always &#x60;file_citation&#x60;.  |  |
+| **index** | **kotlin.Int** | The index of the file in the list of files.  |  |
+| **fileId** | **kotlin.String** | The ID of the file.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | file_citation |
+
+
+
diff --git a/lib/docs/FilePath.md b/lib/docs/FilePath.md
new file mode 100644
index 00000000..f9adb2cd
--- /dev/null
+++ b/lib/docs/FilePath.md
@@ -0,0 +1,19 @@
+
+# FilePath
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the file path. Always &#x60;file_path&#x60;.  |  |
+| **fileId** | **kotlin.String** | The ID of the file.  |  |
+| **index** | **kotlin.Int** | The index of the file in the list of files.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | file_path |
+
+
+
diff --git a/lib/docs/FileSearchRanker.md b/lib/docs/FileSearchRanker.md
new file mode 100644
index 00000000..06efd00b
--- /dev/null
+++ b/lib/docs/FileSearchRanker.md
@@ -0,0 +1,12 @@
+
+# FileSearchRanker
+
+## Enum
+
+
+    * `auto` (value: `"auto"`)
+
+    * `default_2024_08_21` (value: `"default_2024_08_21"`)
+
+
+
diff --git a/lib/docs/FileSearchRankingOptions.md b/lib/docs/FileSearchRankingOptions.md
index 785d7ecb..39e645ad 100644
--- a/lib/docs/FileSearchRankingOptions.md
+++ b/lib/docs/FileSearchRankingOptions.md
@@ -5,14 +5,7 @@
 | Name | Type | Description | Notes |
 | ------------ | ------------- | ------------- | ------------- |
 | **scoreThreshold** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | The score threshold for the file search. All values must be a floating point number between 0 and 1. |  |
-| **ranker** | [**inline**](#Ranker) | The ranker to use for the file search. If not specified will use the &#x60;auto&#x60; ranker. |  [optional] |
-
-
-<a id="Ranker"></a>
-## Enum: ranker
-| Name | Value |
-| ---- | ----- |
-| ranker | auto, default_2024_08_21 |
+| **ranker** | [**FileSearchRanker**](FileSearchRanker.md) |  |  [optional] |
 
 
 
diff --git a/lib/docs/FileSearchTool.md b/lib/docs/FileSearchTool.md
new file mode 100644
index 00000000..71931c65
--- /dev/null
+++ b/lib/docs/FileSearchTool.md
@@ -0,0 +1,21 @@
+
+# FileSearchTool
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the file search tool. Always &#x60;file_search&#x60;.  |  |
+| **vectorStoreIds** | **kotlin.collections.List&lt;kotlin.String&gt;** | The IDs of the vector stores to search.  |  |
+| **maxNumResults** | **kotlin.Int** | The maximum number of results to return. This number should be between 1  and 50 inclusive.  |  [optional] |
+| **filters** | [**FileSearchToolFilters**](FileSearchToolFilters.md) |  |  [optional] |
+| **rankingOptions** | [**FileSearchToolRankingOptions**](FileSearchToolRankingOptions.md) |  |  [optional] |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | file_search |
+
+
+
diff --git a/lib/docs/FileSearchToolCall.md b/lib/docs/FileSearchToolCall.md
new file mode 100644
index 00000000..afdb9a95
--- /dev/null
+++ b/lib/docs/FileSearchToolCall.md
@@ -0,0 +1,28 @@
+
+# FileSearchToolCall
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **id** | **kotlin.String** | The unique ID of the file search tool call.  |  |
+| **type** | [**inline**](#Type) | The type of the file search tool call. Always &#x60;file_search_call&#x60;.  |  |
+| **status** | [**inline**](#Status) | The status of the file search tool call. One of &#x60;in_progress&#x60;,  &#x60;searching&#x60;, &#x60;incomplete&#x60; or &#x60;failed&#x60;,  |  |
+| **queries** | **kotlin.collections.List&lt;kotlin.String&gt;** | The queries used to search for files.  |  |
+| **results** | [**kotlin.collections.List&lt;FileSearchToolCallResultsInner&gt;**](FileSearchToolCallResultsInner.md) | The results of the file search tool call.  |  [optional] |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | file_search_call |
+
+
+<a id="Status"></a>
+## Enum: status
+| Name | Value |
+| ---- | ----- |
+| status | in_progress, searching, completed, incomplete, failed |
+
+
+
diff --git a/lib/docs/FileSearchToolCallResultsInner.md b/lib/docs/FileSearchToolCallResultsInner.md
new file mode 100644
index 00000000..4efc362e
--- /dev/null
+++ b/lib/docs/FileSearchToolCallResultsInner.md
@@ -0,0 +1,14 @@
+
+# FileSearchToolCallResultsInner
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **fileId** | **kotlin.String** | The unique ID of the file.  |  [optional] |
+| **text** | **kotlin.String** | The text that was retrieved from the file.  |  [optional] |
+| **filename** | **kotlin.String** | The name of the file.  |  [optional] |
+| **attributes** | [**kotlin.collections.Map&lt;kotlin.String, VectorStoreFileAttributesValue&gt;**](VectorStoreFileAttributesValue.md) | Set of 16 key-value pairs that can be attached to an object. This can be  useful for storing additional information about the object in a structured  format, and querying for objects via API or the dashboard. Keys are strings  with a maximum length of 64 characters. Values are strings with a maximum  length of 512 characters, booleans, or numbers.  |  [optional] |
+| **score** | **kotlin.Float** | The relevance score of the file - a value between 0 and 1.  |  [optional] |
+
+
+
diff --git a/lib/docs/FileSearchToolFilters.md b/lib/docs/FileSearchToolFilters.md
new file mode 100644
index 00000000..9388932d
--- /dev/null
+++ b/lib/docs/FileSearchToolFilters.md
@@ -0,0 +1,20 @@
+
+# FileSearchToolFilters
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | Specifies the comparison operator: &#x60;eq&#x60;, &#x60;ne&#x60;, &#x60;gt&#x60;, &#x60;gte&#x60;, &#x60;lt&#x60;, &#x60;lte&#x60;. - &#x60;eq&#x60;: equals - &#x60;ne&#x60;: not equal - &#x60;gt&#x60;: greater than - &#x60;gte&#x60;: greater than or equal - &#x60;lt&#x60;: less than - &#x60;lte&#x60;: less than or equal  |  |
+| **key** | **kotlin.String** | The key to compare against the value. |  |
+| **&#x60;value&#x60;** | [**ComparisonFilterValue**](ComparisonFilterValue.md) |  |  |
+| **filters** | [**kotlin.collections.List&lt;CompoundFilterFiltersInner&gt;**](CompoundFilterFiltersInner.md) | Array of filters to combine. Items can be &#x60;ComparisonFilter&#x60; or &#x60;CompoundFilter&#x60;. |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | eq, ne, gt, gte, lt, lte, and, or |
+
+
+
diff --git a/lib/docs/FileSearchToolRankingOptions.md b/lib/docs/FileSearchToolRankingOptions.md
new file mode 100644
index 00000000..87b0bda7
--- /dev/null
+++ b/lib/docs/FileSearchToolRankingOptions.md
@@ -0,0 +1,18 @@
+
+# FileSearchToolRankingOptions
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **ranker** | [**inline**](#Ranker) | The ranker to use for the file search. |  [optional] |
+| **scoreThreshold** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | The score threshold for the file search, a number between 0 and 1. Numbers closer to 1 will attempt to return only the most relevant results, but may return fewer results.  |  [optional] |
+
+
+<a id="Ranker"></a>
+## Enum: ranker
+| Name | Value |
+| ---- | ----- |
+| ranker | auto, default-2024-11-15 |
+
+
+
diff --git a/lib/docs/FilesApi.md b/lib/docs/FilesApi.md
index fbe7ee4c..2cee7025 100644
--- a/lib/docs/FilesApi.md
+++ b/lib/docs/FilesApi.md
@@ -25,7 +25,7 @@ Upload a file that can be used across various endpoints. Individual files can be
 
 val apiInstance = FilesApi()
 val file : java.io.File = BINARY_DATA_HERE // java.io.File | The File object (not file name) to be uploaded. 
-val purpose : kotlin.String = purpose_example // kotlin.String | The intended purpose of the uploaded file.  Use \\\"assistants\\\" for [Assistants](/docs/api-reference/assistants) and [Message](/docs/api-reference/messages) files, \\\"vision\\\" for Assistants image file inputs, \\\"batch\\\" for [Batch API](/docs/guides/batch), and \\\"fine-tune\\\" for [Fine-tuning](/docs/api-reference/fine-tuning). 
+val purpose : kotlin.String = purpose_example // kotlin.String | The intended purpose of the uploaded file. One of: - `assistants`: Used in the Assistants API - `batch`: Used in the Batch API - `fine-tune`: Used for fine-tuning - `vision`: Images used for vision fine-tuning - `user_data`: Flexible file type for any purpose - `evals`: Used for eval data sets 
 try {
     val result : OpenAIFile = apiInstance.createFile(file, purpose)
     println(result)
@@ -42,7 +42,7 @@ try {
 | **file** | **java.io.File**| The File object (not file name) to be uploaded.  | |
 | Name | Type | Description  | Notes |
 | ------------- | ------------- | ------------- | ------------- |
-| **purpose** | **kotlin.String**| The intended purpose of the uploaded file.  Use \\\&quot;assistants\\\&quot; for [Assistants](/docs/api-reference/assistants) and [Message](/docs/api-reference/messages) files, \\\&quot;vision\\\&quot; for Assistants image file inputs, \\\&quot;batch\\\&quot; for [Batch API](/docs/guides/batch), and \\\&quot;fine-tune\\\&quot; for [Fine-tuning](/docs/api-reference/fine-tuning).  | [enum: assistants, batch, fine-tune, vision] |
+| **purpose** | **kotlin.String**| The intended purpose of the uploaded file. One of: - &#x60;assistants&#x60;: Used in the Assistants API - &#x60;batch&#x60;: Used in the Batch API - &#x60;fine-tune&#x60;: Used for fine-tuning - &#x60;vision&#x60;: Images used for vision fine-tuning - &#x60;user_data&#x60;: Flexible file type for any purpose - &#x60;evals&#x60;: Used for eval data sets  | [enum: assistants, batch, fine-tune, vision, user_data, evals] |
 
 ### Return type
 
diff --git a/lib/docs/FineTuningApi.md b/lib/docs/FineTuningApi.md
index 59b0f19b..c8513373 100644
--- a/lib/docs/FineTuningApi.md
+++ b/lib/docs/FineTuningApi.md
@@ -5,7 +5,10 @@ All URIs are relative to *https://api.openai.com/v1*
 | Method | HTTP request | Description |
 | ------------- | ------------- | ------------- |
 | [**cancelFineTuningJob**](FineTuningApi.md#cancelFineTuningJob) | **POST** /fine_tuning/jobs/{fine_tuning_job_id}/cancel | Immediately cancel a fine-tune job.  |
+| [**createFineTuningCheckpointPermission**](FineTuningApi.md#createFineTuningCheckpointPermission) | **POST** /fine_tuning/checkpoints/{permission_id}/permissions | **NOTE:** Calling this endpoint requires an [admin API key](../admin-api-keys).  This enables organization owners to share fine-tuned models with other projects in their organization.  |
 | [**createFineTuningJob**](FineTuningApi.md#createFineTuningJob) | **POST** /fine_tuning/jobs | Creates a fine-tuning job which begins the process of creating a new model from a given dataset.  Response includes details of the enqueued job including job status and the name of the fine-tuned models once complete.  [Learn more about fine-tuning](/docs/guides/fine-tuning)  |
+| [**deleteFineTuningCheckpointPermission**](FineTuningApi.md#deleteFineTuningCheckpointPermission) | **DELETE** /fine_tuning/checkpoints/{permission_id}/permissions | **NOTE:** This endpoint requires an [admin API key](../admin-api-keys).  Organization owners can use this endpoint to delete a permission for a fine-tuned model checkpoint.  |
+| [**listFineTuningCheckpointPermissions**](FineTuningApi.md#listFineTuningCheckpointPermissions) | **GET** /fine_tuning/checkpoints/{permission_id}/permissions | **NOTE:** This endpoint requires an [admin API key](../admin-api-keys).  Organization owners can use this endpoint to view all permissions for a fine-tuned model checkpoint.  |
 | [**listFineTuningEvents**](FineTuningApi.md#listFineTuningEvents) | **GET** /fine_tuning/jobs/{fine_tuning_job_id}/events | Get status updates for a fine-tuning job.  |
 | [**listFineTuningJobCheckpoints**](FineTuningApi.md#listFineTuningJobCheckpoints) | **GET** /fine_tuning/jobs/{fine_tuning_job_id}/checkpoints | List checkpoints for a fine-tuning job.  |
 | [**listPaginatedFineTuningJobs**](FineTuningApi.md#listPaginatedFineTuningJobs) | **GET** /fine_tuning/jobs | List your organization&#39;s fine-tuning jobs  |
@@ -58,6 +61,54 @@ Configure ApiKeyAuth:
  - **Content-Type**: Not defined
  - **Accept**: application/json
 
+<a id="createFineTuningCheckpointPermission"></a>
+# **createFineTuningCheckpointPermission**
+> ListFineTuningCheckpointPermissionResponse createFineTuningCheckpointPermission(permissionId, createFineTuningCheckpointPermissionRequest)
+
+**NOTE:** Calling this endpoint requires an [admin API key](../admin-api-keys).  This enables organization owners to share fine-tuned models with other projects in their organization. 
+
+### Example
+```kotlin
+// Import classes:
+//import com.openai.infrastructure.*
+//import com.openai.models.*
+
+val apiInstance = FineTuningApi()
+val permissionId : kotlin.String = ft:gpt-4o-mini-2024-07-18:org:weather:B7R9VjQd // kotlin.String | The ID of the fine-tuned model checkpoint to create a permission for. 
+val createFineTuningCheckpointPermissionRequest : CreateFineTuningCheckpointPermissionRequest =  // CreateFineTuningCheckpointPermissionRequest | 
+try {
+    val result : ListFineTuningCheckpointPermissionResponse = apiInstance.createFineTuningCheckpointPermission(permissionId, createFineTuningCheckpointPermissionRequest)
+    println(result)
+} catch (e: ClientException) {
+    println("4xx response calling FineTuningApi#createFineTuningCheckpointPermission")
+    e.printStackTrace()
+} catch (e: ServerException) {
+    println("5xx response calling FineTuningApi#createFineTuningCheckpointPermission")
+    e.printStackTrace()
+}
+```
+
+### Parameters
+| **permissionId** | **kotlin.String**| The ID of the fine-tuned model checkpoint to create a permission for.  | |
+| Name | Type | Description  | Notes |
+| ------------- | ------------- | ------------- | ------------- |
+| **createFineTuningCheckpointPermissionRequest** | [**CreateFineTuningCheckpointPermissionRequest**](CreateFineTuningCheckpointPermissionRequest.md)|  | |
+
+### Return type
+
+[**ListFineTuningCheckpointPermissionResponse**](ListFineTuningCheckpointPermissionResponse.md)
+
+### Authorization
+
+
+Configure ApiKeyAuth:
+    ApiClient.accessToken = ""
+
+### HTTP request headers
+
+ - **Content-Type**: application/json
+ - **Accept**: application/json
+
 <a id="createFineTuningJob"></a>
 # **createFineTuningJob**
 > FineTuningJob createFineTuningJob(createFineTuningJobRequest)
@@ -104,6 +155,106 @@ Configure ApiKeyAuth:
  - **Content-Type**: application/json
  - **Accept**: application/json
 
+<a id="deleteFineTuningCheckpointPermission"></a>
+# **deleteFineTuningCheckpointPermission**
+> DeleteFineTuningCheckpointPermissionResponse deleteFineTuningCheckpointPermission(permissionId)
+
+**NOTE:** This endpoint requires an [admin API key](../admin-api-keys).  Organization owners can use this endpoint to delete a permission for a fine-tuned model checkpoint. 
+
+### Example
+```kotlin
+// Import classes:
+//import com.openai.infrastructure.*
+//import com.openai.models.*
+
+val apiInstance = FineTuningApi()
+val permissionId : kotlin.String = cp_zc4Q7MP6XxulcVzj4MZdwsAB // kotlin.String | The ID of the fine-tuned model checkpoint permission to delete. 
+try {
+    val result : DeleteFineTuningCheckpointPermissionResponse = apiInstance.deleteFineTuningCheckpointPermission(permissionId)
+    println(result)
+} catch (e: ClientException) {
+    println("4xx response calling FineTuningApi#deleteFineTuningCheckpointPermission")
+    e.printStackTrace()
+} catch (e: ServerException) {
+    println("5xx response calling FineTuningApi#deleteFineTuningCheckpointPermission")
+    e.printStackTrace()
+}
+```
+
+### Parameters
+| Name | Type | Description  | Notes |
+| ------------- | ------------- | ------------- | ------------- |
+| **permissionId** | **kotlin.String**| The ID of the fine-tuned model checkpoint permission to delete.  | |
+
+### Return type
+
+[**DeleteFineTuningCheckpointPermissionResponse**](DeleteFineTuningCheckpointPermissionResponse.md)
+
+### Authorization
+
+
+Configure ApiKeyAuth:
+    ApiClient.accessToken = ""
+
+### HTTP request headers
+
+ - **Content-Type**: Not defined
+ - **Accept**: application/json
+
+<a id="listFineTuningCheckpointPermissions"></a>
+# **listFineTuningCheckpointPermissions**
+> ListFineTuningCheckpointPermissionResponse listFineTuningCheckpointPermissions(permissionId, projectId, after, limit, order)
+
+**NOTE:** This endpoint requires an [admin API key](../admin-api-keys).  Organization owners can use this endpoint to view all permissions for a fine-tuned model checkpoint. 
+
+### Example
+```kotlin
+// Import classes:
+//import com.openai.infrastructure.*
+//import com.openai.models.*
+
+val apiInstance = FineTuningApi()
+val permissionId : kotlin.String = ft-AF1WoRqd3aJAHsqc9NY7iL8F // kotlin.String | The ID of the fine-tuned model checkpoint to get permissions for. 
+val projectId : kotlin.String = projectId_example // kotlin.String | The ID of the project to get permissions for.
+val after : kotlin.String = after_example // kotlin.String | Identifier for the last permission ID from the previous pagination request.
+val limit : kotlin.Int = 56 // kotlin.Int | Number of permissions to retrieve.
+val order : kotlin.String = order_example // kotlin.String | The order in which to retrieve permissions.
+try {
+    val result : ListFineTuningCheckpointPermissionResponse = apiInstance.listFineTuningCheckpointPermissions(permissionId, projectId, after, limit, order)
+    println(result)
+} catch (e: ClientException) {
+    println("4xx response calling FineTuningApi#listFineTuningCheckpointPermissions")
+    e.printStackTrace()
+} catch (e: ServerException) {
+    println("5xx response calling FineTuningApi#listFineTuningCheckpointPermissions")
+    e.printStackTrace()
+}
+```
+
+### Parameters
+| **permissionId** | **kotlin.String**| The ID of the fine-tuned model checkpoint to get permissions for.  | |
+| **projectId** | **kotlin.String**| The ID of the project to get permissions for. | [optional] |
+| **after** | **kotlin.String**| Identifier for the last permission ID from the previous pagination request. | [optional] |
+| **limit** | **kotlin.Int**| Number of permissions to retrieve. | [optional] [default to 10] |
+| Name | Type | Description  | Notes |
+| ------------- | ------------- | ------------- | ------------- |
+| **order** | **kotlin.String**| The order in which to retrieve permissions. | [optional] [default to descending] [enum: ascending, descending] |
+
+### Return type
+
+[**ListFineTuningCheckpointPermissionResponse**](ListFineTuningCheckpointPermissionResponse.md)
+
+### Authorization
+
+
+Configure ApiKeyAuth:
+    ApiClient.accessToken = ""
+
+### HTTP request headers
+
+ - **Content-Type**: Not defined
+ - **Accept**: application/json
+
 <a id="listFineTuningEvents"></a>
 # **listFineTuningEvents**
 > ListFineTuningJobEventsResponse listFineTuningEvents(fineTuningJobId, after, limit)
@@ -206,7 +357,7 @@ Configure ApiKeyAuth:
 
 <a id="listPaginatedFineTuningJobs"></a>
 # **listPaginatedFineTuningJobs**
-> ListPaginatedFineTuningJobsResponse listPaginatedFineTuningJobs(after, limit)
+> ListPaginatedFineTuningJobsResponse listPaginatedFineTuningJobs(after, limit, metadata)
 
 List your organization&#39;s fine-tuning jobs 
 
@@ -219,8 +370,9 @@ List your organization&#39;s fine-tuning jobs
 val apiInstance = FineTuningApi()
 val after : kotlin.String = after_example // kotlin.String | Identifier for the last job from the previous pagination request.
 val limit : kotlin.Int = 56 // kotlin.Int | Number of fine-tuning jobs to retrieve.
+val metadata : kotlin.collections.Map<kotlin.String, kotlin.String> =  // kotlin.collections.Map<kotlin.String, kotlin.String> | Optional metadata filter. To filter, use the syntax `metadata[k]=v`. Alternatively, set `metadata=null` to indicate no metadata. 
 try {
-    val result : ListPaginatedFineTuningJobsResponse = apiInstance.listPaginatedFineTuningJobs(after, limit)
+    val result : ListPaginatedFineTuningJobsResponse = apiInstance.listPaginatedFineTuningJobs(after, limit, metadata)
     println(result)
 } catch (e: ClientException) {
     println("4xx response calling FineTuningApi#listPaginatedFineTuningJobs")
@@ -233,9 +385,10 @@ try {
 
 ### Parameters
 | **after** | **kotlin.String**| Identifier for the last job from the previous pagination request. | [optional] |
+| **limit** | **kotlin.Int**| Number of fine-tuning jobs to retrieve. | [optional] [default to 20] |
 | Name | Type | Description  | Notes |
 | ------------- | ------------- | ------------- | ------------- |
-| **limit** | **kotlin.Int**| Number of fine-tuning jobs to retrieve. | [optional] [default to 20] |
+| **metadata** | [**kotlin.collections.Map&lt;kotlin.String, kotlin.String&gt;**](kotlin.String.md)| Optional metadata filter. To filter, use the syntax &#x60;metadata[k]&#x3D;v&#x60;. Alternatively, set &#x60;metadata&#x3D;null&#x60; to indicate no metadata.  | [optional] |
 
 ### Return type
 
diff --git a/lib/docs/FineTuningCheckpointPermission.md b/lib/docs/FineTuningCheckpointPermission.md
new file mode 100644
index 00000000..35da0ad1
--- /dev/null
+++ b/lib/docs/FineTuningCheckpointPermission.md
@@ -0,0 +1,20 @@
+
+# FineTuningCheckpointPermission
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **id** | **kotlin.String** | The permission identifier, which can be referenced in the API endpoints. |  |
+| **createdAt** | **kotlin.Int** | The Unix timestamp (in seconds) for when the permission was created. |  |
+| **projectId** | **kotlin.String** | The project identifier that the permission is for. |  |
+| **&#x60;object&#x60;** | [**inline**](#&#x60;Object&#x60;) | The object type, which is always \&quot;checkpoint.permission\&quot;. |  |
+
+
+<a id="`Object`"></a>
+## Enum: object
+| Name | Value |
+| ---- | ----- |
+| &#x60;object&#x60; | checkpoint.permission |
+
+
+
diff --git a/lib/docs/FineTuningJob.md b/lib/docs/FineTuningJob.md
index 97678eab..dab8a3cf 100644
--- a/lib/docs/FineTuningJob.md
+++ b/lib/docs/FineTuningJob.md
@@ -22,6 +22,7 @@
 | **integrations** | [**kotlin.collections.List&lt;FineTuningJobIntegrationsInner&gt;**](FineTuningJobIntegrationsInner.md) | A list of integrations to enable for this fine-tuning job. |  [optional] |
 | **estimatedFinish** | **kotlin.Int** | The Unix timestamp (in seconds) for when the fine-tuning job is estimated to finish. The value will be null if the fine-tuning job is not running. |  [optional] |
 | **method** | [**FineTuneMethod**](FineTuneMethod.md) |  |  [optional] |
+| **metadata** | **kotlin.collections.Map&lt;kotlin.String, kotlin.String&gt;** | Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard.   Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.  |  [optional] |
 
 
 <a id="`Object`"></a>
diff --git a/lib/docs/FunctionTool.md b/lib/docs/FunctionTool.md
new file mode 100644
index 00000000..d4578c2e
--- /dev/null
+++ b/lib/docs/FunctionTool.md
@@ -0,0 +1,21 @@
+
+# FunctionTool
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the function tool. Always &#x60;function&#x60;.  |  |
+| **name** | **kotlin.String** | The name of the function to call.  |  |
+| **parameters** | [**kotlin.collections.Map&lt;kotlin.String, kotlin.Any&gt;**](kotlin.Any.md) | A JSON schema object describing the parameters of the function.  |  |
+| **strict** | **kotlin.Boolean** | Whether to enforce strict parameter validation. Default &#x60;true&#x60;.  |  |
+| **description** | **kotlin.String** | A description of the function. Used by the model to determine whether or not to call the function.  |  [optional] |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | function |
+
+
+
diff --git a/lib/docs/FunctionToolCall.md b/lib/docs/FunctionToolCall.md
new file mode 100644
index 00000000..a37b045b
--- /dev/null
+++ b/lib/docs/FunctionToolCall.md
@@ -0,0 +1,29 @@
+
+# FunctionToolCall
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the function tool call. Always &#x60;function_call&#x60;.  |  |
+| **callId** | **kotlin.String** | The unique ID of the function tool call generated by the model.  |  |
+| **name** | **kotlin.String** | The name of the function to run.  |  |
+| **arguments** | **kotlin.String** | A JSON string of the arguments to pass to the function.  |  |
+| **id** | **kotlin.String** | The unique ID of the function tool call.  |  [optional] |
+| **status** | [**inline**](#Status) | The status of the item. One of &#x60;in_progress&#x60;, &#x60;completed&#x60;, or &#x60;incomplete&#x60;. Populated when items are returned via API.  |  [optional] |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | function_call |
+
+
+<a id="Status"></a>
+## Enum: status
+| Name | Value |
+| ---- | ----- |
+| status | in_progress, completed, incomplete |
+
+
+
diff --git a/lib/docs/FunctionToolCallOutput.md b/lib/docs/FunctionToolCallOutput.md
new file mode 100644
index 00000000..11a4d67b
--- /dev/null
+++ b/lib/docs/FunctionToolCallOutput.md
@@ -0,0 +1,28 @@
+
+# FunctionToolCallOutput
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the function tool call output. Always &#x60;function_call_output&#x60;.  |  |
+| **callId** | **kotlin.String** | The unique ID of the function tool call generated by the model.  |  |
+| **output** | **kotlin.String** | A JSON string of the output of the function tool call.  |  |
+| **id** | **kotlin.String** | The unique ID of the function tool call output. Populated when this item is returned via API.  |  [optional] |
+| **status** | [**inline**](#Status) | The status of the item. One of &#x60;in_progress&#x60;, &#x60;completed&#x60;, or &#x60;incomplete&#x60;. Populated when items are returned via API.  |  [optional] |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | function_call_output |
+
+
+<a id="Status"></a>
+## Enum: status
+| Name | Value |
+| ---- | ----- |
+| status | in_progress, completed, incomplete |
+
+
+
diff --git a/lib/docs/FunctionToolCallOutputResource.md b/lib/docs/FunctionToolCallOutputResource.md
new file mode 100644
index 00000000..7c8ec391
--- /dev/null
+++ b/lib/docs/FunctionToolCallOutputResource.md
@@ -0,0 +1,28 @@
+
+# FunctionToolCallOutputResource
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **id** | **kotlin.String** | The unique ID of the function call tool output.  |  |
+| **type** | [**inline**](#Type) | The type of the function tool call output. Always &#x60;function_call_output&#x60;.  |  |
+| **callId** | **kotlin.String** | The unique ID of the function tool call generated by the model.  |  |
+| **output** | **kotlin.String** | A JSON string of the output of the function tool call.  |  |
+| **status** | [**inline**](#Status) | The status of the item. One of &#x60;in_progress&#x60;, &#x60;completed&#x60;, or &#x60;incomplete&#x60;. Populated when items are returned via API.  |  [optional] |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | function_call_output |
+
+
+<a id="Status"></a>
+## Enum: status
+| Name | Value |
+| ---- | ----- |
+| status | in_progress, completed, incomplete |
+
+
+
diff --git a/lib/docs/FunctionToolCallResource.md b/lib/docs/FunctionToolCallResource.md
new file mode 100644
index 00000000..77c87c04
--- /dev/null
+++ b/lib/docs/FunctionToolCallResource.md
@@ -0,0 +1,29 @@
+
+# FunctionToolCallResource
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **id** | **kotlin.String** | The unique ID of the function tool call.  |  |
+| **type** | [**inline**](#Type) | The type of the function tool call. Always &#x60;function_call&#x60;.  |  |
+| **callId** | **kotlin.String** | The unique ID of the function tool call generated by the model.  |  |
+| **name** | **kotlin.String** | The name of the function to run.  |  |
+| **arguments** | **kotlin.String** | A JSON string of the arguments to pass to the function.  |  |
+| **status** | [**inline**](#Status) | The status of the item. One of &#x60;in_progress&#x60;, &#x60;completed&#x60;, or &#x60;incomplete&#x60;. Populated when items are returned via API.  |  [optional] |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | function_call |
+
+
+<a id="Status"></a>
+## Enum: status
+| Name | Value |
+| ---- | ----- |
+| status | in_progress, completed, incomplete |
+
+
+
diff --git a/lib/docs/Includable.md b/lib/docs/Includable.md
new file mode 100644
index 00000000..434bdd2c
--- /dev/null
+++ b/lib/docs/Includable.md
@@ -0,0 +1,14 @@
+
+# Includable
+
+## Enum
+
+
+    * `file_search_callPeriodResults` (value: `"file_search_call.results"`)
+
+    * `messagePeriodInput_imagePeriodImage_url` (value: `"message.input_image.image_url"`)
+
+    * `computer_call_outputPeriodOutputPeriodImage_url` (value: `"computer_call_output.output.image_url"`)
+
+
+
diff --git a/lib/docs/InputAudio.md b/lib/docs/InputAudio.md
new file mode 100644
index 00000000..42b55d4e
--- /dev/null
+++ b/lib/docs/InputAudio.md
@@ -0,0 +1,26 @@
+
+# InputAudio
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the input item. Always &#x60;input_audio&#x60;.  |  |
+| **&#x60;data&#x60;** | **kotlin.String** | Base64-encoded audio data.  |  |
+| **format** | [**inline**](#Format) | The format of the audio data. Currently supported formats are &#x60;mp3&#x60; and &#x60;wav&#x60;.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | input_audio |
+
+
+<a id="Format"></a>
+## Enum: format
+| Name | Value |
+| ---- | ----- |
+| format | mp3, wav |
+
+
+
diff --git a/lib/docs/InputContent.md b/lib/docs/InputContent.md
new file mode 100644
index 00000000..6bd4dad5
--- /dev/null
+++ b/lib/docs/InputContent.md
@@ -0,0 +1,30 @@
+
+# InputContent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the input item. Always &#x60;input_text&#x60;.  |  |
+| **text** | **kotlin.String** | The text input to the model.  |  |
+| **detail** | [**inline**](#Detail) | The detail level of the image to be sent to the model. One of &#x60;high&#x60;, &#x60;low&#x60;, or &#x60;auto&#x60;. Defaults to &#x60;auto&#x60;.  |  |
+| **imageUrl** | **kotlin.String** | The URL of the image to be sent to the model. A fully qualified URL or base64 encoded image in a data URL.  |  [optional] |
+| **fileId** | **kotlin.String** | The ID of the file to be sent to the model.  |  [optional] |
+| **filename** | **kotlin.String** | The name of the file to be sent to the model.  |  [optional] |
+| **fileData** | **kotlin.String** | The content of the file to be sent to the model.  |  [optional] |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | input_text, input_image, input_file |
+
+
+<a id="Detail"></a>
+## Enum: detail
+| Name | Value |
+| ---- | ----- |
+| detail | high, low, auto |
+
+
+
diff --git a/lib/docs/InputFile.md b/lib/docs/InputFile.md
new file mode 100644
index 00000000..68ac0208
--- /dev/null
+++ b/lib/docs/InputFile.md
@@ -0,0 +1,20 @@
+
+# InputFile
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the input item. Always &#x60;input_file&#x60;.  |  |
+| **fileId** | **kotlin.String** | The ID of the file to be sent to the model.  |  [optional] |
+| **filename** | **kotlin.String** | The name of the file to be sent to the model.  |  [optional] |
+| **fileData** | **kotlin.String** | The content of the file to be sent to the model.  |  [optional] |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | input_file |
+
+
+
diff --git a/lib/docs/InputImage.md b/lib/docs/InputImage.md
new file mode 100644
index 00000000..a42573d8
--- /dev/null
+++ b/lib/docs/InputImage.md
@@ -0,0 +1,27 @@
+
+# InputImage
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the input item. Always &#x60;input_image&#x60;.  |  |
+| **detail** | [**inline**](#Detail) | The detail level of the image to be sent to the model. One of &#x60;high&#x60;, &#x60;low&#x60;, or &#x60;auto&#x60;. Defaults to &#x60;auto&#x60;.  |  |
+| **imageUrl** | **kotlin.String** | The URL of the image to be sent to the model. A fully qualified URL or base64 encoded image in a data URL.  |  [optional] |
+| **fileId** | **kotlin.String** | The ID of the file to be sent to the model.  |  [optional] |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | input_image |
+
+
+<a id="Detail"></a>
+## Enum: detail
+| Name | Value |
+| ---- | ----- |
+| detail | high, low, auto |
+
+
+
diff --git a/lib/docs/InputItem.md b/lib/docs/InputItem.md
new file mode 100644
index 00000000..81ca6496
--- /dev/null
+++ b/lib/docs/InputItem.md
@@ -0,0 +1,27 @@
+
+# InputItem
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **role** | [**inline**](#Role) | The role of the message input. One of &#x60;user&#x60;, &#x60;assistant&#x60;, &#x60;system&#x60;, or &#x60;developer&#x60;.  |  |
+| **content** | [**EasyInputMessageContent**](EasyInputMessageContent.md) |  |  |
+| **type** | [**inline**](#Type) | The type of the message input. Always &#x60;message&#x60;.  |  |
+| **id** | **kotlin.String** | The ID of the item to reference.  |  |
+
+
+<a id="Role"></a>
+## Enum: role
+| Name | Value |
+| ---- | ----- |
+| role | user, assistant, system, developer |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | message, item_reference |
+
+
+
diff --git a/lib/docs/InputMessage.md b/lib/docs/InputMessage.md
new file mode 100644
index 00000000..9b1dff79
--- /dev/null
+++ b/lib/docs/InputMessage.md
@@ -0,0 +1,34 @@
+
+# InputMessage
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **role** | [**inline**](#Role) | The role of the message input. One of &#x60;user&#x60;, &#x60;system&#x60;, or &#x60;developer&#x60;.  |  |
+| **content** | [**kotlin.collections.List&lt;InputContent&gt;**](InputContent.md) | A list of one or many input items to the model, containing different content  types.  |  |
+| **type** | [**inline**](#Type) | The type of the message input. Always set to &#x60;message&#x60;.  |  [optional] |
+| **status** | [**inline**](#Status) | The status of item. One of &#x60;in_progress&#x60;, &#x60;completed&#x60;, or &#x60;incomplete&#x60;. Populated when items are returned via API.  |  [optional] |
+
+
+<a id="Role"></a>
+## Enum: role
+| Name | Value |
+| ---- | ----- |
+| role | user, system, developer |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | message |
+
+
+<a id="Status"></a>
+## Enum: status
+| Name | Value |
+| ---- | ----- |
+| status | in_progress, completed, incomplete |
+
+
+
diff --git a/lib/docs/InputMessageResource.md b/lib/docs/InputMessageResource.md
new file mode 100644
index 00000000..eaad7ca7
--- /dev/null
+++ b/lib/docs/InputMessageResource.md
@@ -0,0 +1,35 @@
+
+# InputMessageResource
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **role** | [**inline**](#Role) | The role of the message input. One of &#x60;user&#x60;, &#x60;system&#x60;, or &#x60;developer&#x60;.  |  |
+| **content** | [**kotlin.collections.List&lt;InputContent&gt;**](InputContent.md) | A list of one or many input items to the model, containing different content  types.  |  |
+| **id** | **kotlin.String** | The unique ID of the message input.  |  |
+| **type** | [**inline**](#Type) | The type of the message input. Always set to &#x60;message&#x60;.  |  [optional] |
+| **status** | [**inline**](#Status) | The status of item. One of &#x60;in_progress&#x60;, &#x60;completed&#x60;, or &#x60;incomplete&#x60;. Populated when items are returned via API.  |  [optional] |
+
+
+<a id="Role"></a>
+## Enum: role
+| Name | Value |
+| ---- | ----- |
+| role | user, system, developer |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | message |
+
+
+<a id="Status"></a>
+## Enum: status
+| Name | Value |
+| ---- | ----- |
+| status | in_progress, completed, incomplete |
+
+
+
diff --git a/lib/docs/InputText.md b/lib/docs/InputText.md
new file mode 100644
index 00000000..8a4a036d
--- /dev/null
+++ b/lib/docs/InputText.md
@@ -0,0 +1,18 @@
+
+# InputText
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the input item. Always &#x60;input_text&#x60;.  |  |
+| **text** | **kotlin.String** | The text input to the model.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | input_text |
+
+
+
diff --git a/lib/docs/Item.md b/lib/docs/Item.md
new file mode 100644
index 00000000..dcf7d3f5
--- /dev/null
+++ b/lib/docs/Item.md
@@ -0,0 +1,45 @@
+
+# Item
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the message input. Always set to &#x60;message&#x60;.  |  |
+| **role** | [**inline**](#Role) | The role of the output message. Always &#x60;assistant&#x60;.  |  |
+| **status** | [**inline**](#Status) | The status of the item. One of &#x60;in_progress&#x60;, &#x60;completed&#x60;, or &#x60;incomplete&#x60;. Populated when items are returned via API.  |  |
+| **content** | [**kotlin.collections.List&lt;OutputContent&gt;**](OutputContent.md) | The content of the output message.  |  |
+| **id** | **kotlin.String** | The unique identifier of the reasoning content.  |  |
+| **queries** | **kotlin.collections.List&lt;kotlin.String&gt;** | The queries used to search for files.  |  |
+| **callId** | **kotlin.String** | The unique ID of the function tool call generated by the model.  |  |
+| **action** | [**ComputerAction**](ComputerAction.md) |  |  |
+| **pendingSafetyChecks** | [**kotlin.collections.List&lt;ComputerToolCallSafetyCheck&gt;**](ComputerToolCallSafetyCheck.md) | The pending safety checks for the computer call.  |  |
+| **output** | **kotlin.String** | A JSON string of the output of the function tool call.  |  |
+| **name** | **kotlin.String** | The name of the function to run.  |  |
+| **arguments** | **kotlin.String** | A JSON string of the arguments to pass to the function.  |  |
+| **summary** | [**kotlin.collections.List&lt;ReasoningItemSummaryInner&gt;**](ReasoningItemSummaryInner.md) | Reasoning text contents.  |  |
+| **results** | [**kotlin.collections.List&lt;FileSearchToolCallResultsInner&gt;**](FileSearchToolCallResultsInner.md) | The results of the file search tool call.  |  [optional] |
+| **acknowledgedSafetyChecks** | [**kotlin.collections.List&lt;ComputerToolCallSafetyCheck&gt;**](ComputerToolCallSafetyCheck.md) | The safety checks reported by the API that have been acknowledged by the  developer.  |  [optional] |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | message, file_search_call, computer_call, computer_call_output, web_search_call, function_call, function_call_output, reasoning |
+
+
+<a id="Role"></a>
+## Enum: role
+| Name | Value |
+| ---- | ----- |
+| role | assistant |
+
+
+<a id="Status"></a>
+## Enum: status
+| Name | Value |
+| ---- | ----- |
+| status | in_progress, completed, incomplete |
+
+
+
diff --git a/lib/docs/ItemReference.md b/lib/docs/ItemReference.md
new file mode 100644
index 00000000..89ff1171
--- /dev/null
+++ b/lib/docs/ItemReference.md
@@ -0,0 +1,18 @@
+
+# ItemReference
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **id** | **kotlin.String** | The ID of the item to reference.  |  |
+| **type** | [**inline**](#Type) | The type of item to reference. Always &#x60;item_reference&#x60;.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | item_reference |
+
+
+
diff --git a/lib/docs/ItemResource.md b/lib/docs/ItemResource.md
new file mode 100644
index 00000000..7cafcedb
--- /dev/null
+++ b/lib/docs/ItemResource.md
@@ -0,0 +1,44 @@
+
+# ItemResource
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the message input. Always set to &#x60;message&#x60;.  |  |
+| **role** | [**inline**](#Role) | The role of the output message. Always &#x60;assistant&#x60;.  |  |
+| **status** | [**inline**](#Status) | The status of the item. One of &#x60;in_progress&#x60;, &#x60;completed&#x60;, or &#x60;incomplete&#x60;. Populated when items are returned via API.  |  |
+| **content** | [**kotlin.collections.List&lt;OutputContent&gt;**](OutputContent.md) | The content of the output message.  |  |
+| **id** | **kotlin.String** | The unique ID of the function call tool output.  |  |
+| **queries** | **kotlin.collections.List&lt;kotlin.String&gt;** | The queries used to search for files.  |  |
+| **callId** | **kotlin.String** | The unique ID of the function tool call generated by the model.  |  |
+| **action** | [**ComputerAction**](ComputerAction.md) |  |  |
+| **pendingSafetyChecks** | [**kotlin.collections.List&lt;ComputerToolCallSafetyCheck&gt;**](ComputerToolCallSafetyCheck.md) | The pending safety checks for the computer call.  |  |
+| **output** | **kotlin.String** | A JSON string of the output of the function tool call.  |  |
+| **name** | **kotlin.String** | The name of the function to run.  |  |
+| **arguments** | **kotlin.String** | A JSON string of the arguments to pass to the function.  |  |
+| **results** | [**kotlin.collections.List&lt;FileSearchToolCallResultsInner&gt;**](FileSearchToolCallResultsInner.md) | The results of the file search tool call.  |  [optional] |
+| **acknowledgedSafetyChecks** | [**kotlin.collections.List&lt;ComputerToolCallSafetyCheck&gt;**](ComputerToolCallSafetyCheck.md) | The safety checks reported by the API that have been acknowledged by the  developer.  |  [optional] |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | message, file_search_call, computer_call, computer_call_output, web_search_call, function_call, function_call_output |
+
+
+<a id="Role"></a>
+## Enum: role
+| Name | Value |
+| ---- | ----- |
+| role | assistant |
+
+
+<a id="Status"></a>
+## Enum: status
+| Name | Value |
+| ---- | ----- |
+| status | in_progress, completed, incomplete |
+
+
+
diff --git a/lib/docs/ResponseFormatJsonSchemaJsonSchema.md b/lib/docs/JSONSchema.md
similarity index 74%
rename from lib/docs/ResponseFormatJsonSchemaJsonSchema.md
rename to lib/docs/JSONSchema.md
index 9905ae22..b1001a66 100644
--- a/lib/docs/ResponseFormatJsonSchemaJsonSchema.md
+++ b/lib/docs/JSONSchema.md
@@ -1,13 +1,13 @@
 
-# ResponseFormatJsonSchemaJsonSchema
+# JSONSchema
 
 ## Properties
 | Name | Type | Description | Notes |
 | ------------ | ------------- | ------------- | ------------- |
-| **name** | **kotlin.String** | The name of the response format. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64. |  |
-| **description** | **kotlin.String** | A description of what the response format is for, used by the model to determine how to respond in the format. |  [optional] |
-| **schema** | [**kotlin.collections.Map&lt;kotlin.String, kotlin.Any&gt;**](kotlin.Any.md) | The schema for the response format, described as a JSON Schema object. |  [optional] |
-| **strict** | **kotlin.Boolean** | Whether to enable strict schema adherence when generating the output. If set to true, the model will always follow the exact schema defined in the &#x60;schema&#x60; field. Only a subset of JSON Schema is supported when &#x60;strict&#x60; is &#x60;true&#x60;. To learn more, read the [Structured Outputs guide](/docs/guides/structured-outputs). |  [optional] |
+| **name** | **kotlin.String** | The name of the response format. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64.  |  |
+| **description** | **kotlin.String** | A description of what the response format is for, used by the model to determine how to respond in the format.  |  [optional] |
+| **schema** | [**kotlin.collections.Map&lt;kotlin.String, kotlin.Any&gt;**](kotlin.Any.md) | The schema for the response format, described as a JSON Schema object. Learn how to build JSON schemas [here](https://json-schema.org/).  |  [optional] |
+| **strict** | **kotlin.Boolean** | Whether to enable strict schema adherence when generating the output. If set to true, the model will always follow the exact schema defined in the &#x60;schema&#x60; field. Only a subset of JSON Schema is supported when &#x60;strict&#x60; is &#x60;true&#x60;. To learn more, read the [Structured Outputs guide](/docs/guides/structured-outputs).  |  [optional] |
 
 
 
diff --git a/lib/docs/KeyPress.md b/lib/docs/KeyPress.md
new file mode 100644
index 00000000..6f7136c5
--- /dev/null
+++ b/lib/docs/KeyPress.md
@@ -0,0 +1,18 @@
+
+# KeyPress
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | Specifies the event type. For a keypress action, this property is  always set to &#x60;keypress&#x60;.  |  |
+| **propertyKeys** | **kotlin.collections.List&lt;kotlin.String&gt;** | The combination of keys the model is requesting to be pressed. This is an array of strings, each representing a key.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | keypress |
+
+
+
diff --git a/lib/docs/ListFineTuningCheckpointPermissionResponse.md b/lib/docs/ListFineTuningCheckpointPermissionResponse.md
new file mode 100644
index 00000000..1a8a043e
--- /dev/null
+++ b/lib/docs/ListFineTuningCheckpointPermissionResponse.md
@@ -0,0 +1,21 @@
+
+# ListFineTuningCheckpointPermissionResponse
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **&#x60;data&#x60;** | [**kotlin.collections.List&lt;FineTuningCheckpointPermission&gt;**](FineTuningCheckpointPermission.md) |  |  |
+| **&#x60;object&#x60;** | [**inline**](#&#x60;Object&#x60;) |  |  |
+| **hasMore** | **kotlin.Boolean** |  |  |
+| **firstId** | **kotlin.String** |  |  [optional] |
+| **lastId** | **kotlin.String** |  |  [optional] |
+
+
+<a id="`Object`"></a>
+## Enum: object
+| Name | Value |
+| ---- | ----- |
+| &#x60;object&#x60; | list |
+
+
+
diff --git a/lib/docs/LogProb.md b/lib/docs/LogProb.md
new file mode 100644
index 00000000..cde7e7a1
--- /dev/null
+++ b/lib/docs/LogProb.md
@@ -0,0 +1,13 @@
+
+# LogProb
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **token** | **kotlin.String** | The token that was used to generate the log probability.  |  |
+| **logprob** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | The log probability of the token.  |  |
+| **bytes** | **kotlin.collections.List&lt;kotlin.Int&gt;** | The bytes that were used to generate the log probability.  |  |
+| **topLogprobs** | [**kotlin.collections.List&lt;LogProbProperties&gt;**](LogProbProperties.md) |  |  [optional] |
+
+
+
diff --git a/lib/docs/LogProbProperties.md b/lib/docs/LogProbProperties.md
new file mode 100644
index 00000000..1d799587
--- /dev/null
+++ b/lib/docs/LogProbProperties.md
@@ -0,0 +1,12 @@
+
+# LogProbProperties
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **token** | **kotlin.String** | The token that was used to generate the log probability.  |  |
+| **logprob** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | The log probability of the token.  |  |
+| **bytes** | **kotlin.collections.List&lt;kotlin.Int&gt;** | The bytes that were used to generate the log probability.  |  |
+
+
+
diff --git a/lib/docs/RealtimeSessionModel.md b/lib/docs/ModelIds.md
similarity index 84%
rename from lib/docs/RealtimeSessionModel.md
rename to lib/docs/ModelIds.md
index fd210649..354db8f7 100644
--- a/lib/docs/RealtimeSessionModel.md
+++ b/lib/docs/ModelIds.md
@@ -1,5 +1,5 @@
 
-# RealtimeSessionModel
+# ModelIds
 
 ## Properties
 | Name | Type | Description | Notes |
diff --git a/lib/docs/ModelIdsResponses.md b/lib/docs/ModelIdsResponses.md
new file mode 100644
index 00000000..04b727f5
--- /dev/null
+++ b/lib/docs/ModelIdsResponses.md
@@ -0,0 +1,9 @@
+
+# ModelIdsResponses
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+
+
+
diff --git a/lib/docs/ModelIdsShared.md b/lib/docs/ModelIdsShared.md
new file mode 100644
index 00000000..e04afee5
--- /dev/null
+++ b/lib/docs/ModelIdsShared.md
@@ -0,0 +1,9 @@
+
+# ModelIdsShared
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+
+
+
diff --git a/lib/docs/ModelResponseProperties.md b/lib/docs/ModelResponseProperties.md
new file mode 100644
index 00000000..fc347b19
--- /dev/null
+++ b/lib/docs/ModelResponseProperties.md
@@ -0,0 +1,13 @@
+
+# ModelResponseProperties
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **metadata** | **kotlin.collections.Map&lt;kotlin.String, kotlin.String&gt;** | Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard.   Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.  |  [optional] |
+| **temperature** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or &#x60;top_p&#x60; but not both.  |  [optional] |
+| **topP** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.  We generally recommend altering this or &#x60;temperature&#x60; but not both.  |  [optional] |
+| **user** | **kotlin.String** | A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices#end-user-ids).  |  [optional] |
+
+
+
diff --git a/lib/docs/ModifyAssistantRequest.md b/lib/docs/ModifyAssistantRequest.md
index 594fdd8f..80001c99 100644
--- a/lib/docs/ModifyAssistantRequest.md
+++ b/lib/docs/ModifyAssistantRequest.md
@@ -14,7 +14,7 @@
 | **metadata** | **kotlin.collections.Map&lt;kotlin.String, kotlin.String&gt;** | Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard.   Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.  |  [optional] |
 | **temperature** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic.  |  [optional] |
 | **topP** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.  We generally recommend altering this or temperature but not both.  |  [optional] |
-| **responseFormat** | [**AssistantObjectResponseFormat**](AssistantObjectResponseFormat.md) |  |  [optional] |
+| **responseFormat** | [**AssistantsApiResponseFormatOption**](AssistantsApiResponseFormatOption.md) |  |  [optional] |
 
 
 
diff --git a/lib/docs/Move.md b/lib/docs/Move.md
new file mode 100644
index 00000000..1a5c224c
--- /dev/null
+++ b/lib/docs/Move.md
@@ -0,0 +1,19 @@
+
+# Move
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | Specifies the event type. For a move action, this property is  always set to &#x60;move&#x60;.  |  |
+| **x** | **kotlin.Int** | The x-coordinate to move to.  |  |
+| **y** | **kotlin.Int** | The y-coordinate to move to.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | move |
+
+
+
diff --git a/lib/docs/OpenAIFile.md b/lib/docs/OpenAIFile.md
index c605d54b..b2f9cbc8 100644
--- a/lib/docs/OpenAIFile.md
+++ b/lib/docs/OpenAIFile.md
@@ -11,6 +11,7 @@
 | **&#x60;object&#x60;** | [**inline**](#&#x60;Object&#x60;) | The object type, which is always &#x60;file&#x60;. |  |
 | **purpose** | [**inline**](#Purpose) | The intended purpose of the file. Supported values are &#x60;assistants&#x60;, &#x60;assistants_output&#x60;, &#x60;batch&#x60;, &#x60;batch_output&#x60;, &#x60;fine-tune&#x60;, &#x60;fine-tune-results&#x60; and &#x60;vision&#x60;. |  |
 | **status** | [**inline**](#Status) | Deprecated. The current status of the file, which can be either &#x60;uploaded&#x60;, &#x60;processed&#x60;, or &#x60;error&#x60;. |  |
+| **expiresAt** | **kotlin.Int** | The Unix timestamp (in seconds) for when the file will expire. |  [optional] |
 | **statusDetails** | **kotlin.String** | Deprecated. For details on why a fine-tuning training file failed validation, see the &#x60;error&#x60; field on &#x60;fine_tuning.job&#x60;. |  [optional] |
 
 
diff --git a/lib/docs/OutputAudio.md b/lib/docs/OutputAudio.md
new file mode 100644
index 00000000..5f23d1a5
--- /dev/null
+++ b/lib/docs/OutputAudio.md
@@ -0,0 +1,19 @@
+
+# OutputAudio
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the output audio. Always &#x60;output_audio&#x60;.  |  |
+| **&#x60;data&#x60;** | **kotlin.String** | Base64-encoded audio data from the model.  |  |
+| **transcript** | **kotlin.String** | The transcript of the audio data from the model.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | output_audio |
+
+
+
diff --git a/lib/docs/OutputContent.md b/lib/docs/OutputContent.md
new file mode 100644
index 00000000..45e0b5d6
--- /dev/null
+++ b/lib/docs/OutputContent.md
@@ -0,0 +1,20 @@
+
+# OutputContent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the output text. Always &#x60;output_text&#x60;.  |  |
+| **text** | **kotlin.String** | The text output from the model.  |  |
+| **annotations** | [**kotlin.collections.List&lt;Annotation&gt;**](Annotation.md) | The annotations of the text output.  |  |
+| **refusal** | **kotlin.String** | The refusal explanationfrom the model.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | output_text, refusal |
+
+
+
diff --git a/lib/docs/OutputItem.md b/lib/docs/OutputItem.md
new file mode 100644
index 00000000..f9cc70fc
--- /dev/null
+++ b/lib/docs/OutputItem.md
@@ -0,0 +1,43 @@
+
+# OutputItem
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **id** | **kotlin.String** | The unique identifier of the reasoning content.  |  |
+| **type** | [**inline**](#Type) | The type of the output message. Always &#x60;message&#x60;.  |  |
+| **role** | [**inline**](#Role) | The role of the output message. Always &#x60;assistant&#x60;.  |  |
+| **content** | [**kotlin.collections.List&lt;OutputContent&gt;**](OutputContent.md) | The content of the output message.  |  |
+| **status** | [**inline**](#Status) | The status of the item. One of &#x60;in_progress&#x60;, &#x60;completed&#x60;, or &#x60;incomplete&#x60;. Populated when items are returned via API.  |  |
+| **queries** | **kotlin.collections.List&lt;kotlin.String&gt;** | The queries used to search for files.  |  |
+| **callId** | **kotlin.String** | An identifier used when responding to the tool call with output.  |  |
+| **name** | **kotlin.String** | The name of the function to run.  |  |
+| **arguments** | **kotlin.String** | A JSON string of the arguments to pass to the function.  |  |
+| **action** | [**ComputerAction**](ComputerAction.md) |  |  |
+| **pendingSafetyChecks** | [**kotlin.collections.List&lt;ComputerToolCallSafetyCheck&gt;**](ComputerToolCallSafetyCheck.md) | The pending safety checks for the computer call.  |  |
+| **summary** | [**kotlin.collections.List&lt;ReasoningItemSummaryInner&gt;**](ReasoningItemSummaryInner.md) | Reasoning text contents.  |  |
+| **results** | [**kotlin.collections.List&lt;FileSearchToolCallResultsInner&gt;**](FileSearchToolCallResultsInner.md) | The results of the file search tool call.  |  [optional] |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | message, file_search_call, function_call, web_search_call, computer_call, reasoning |
+
+
+<a id="Role"></a>
+## Enum: role
+| Name | Value |
+| ---- | ----- |
+| role | assistant |
+
+
+<a id="Status"></a>
+## Enum: status
+| Name | Value |
+| ---- | ----- |
+| status | in_progress, completed, incomplete |
+
+
+
diff --git a/lib/docs/OutputMessage.md b/lib/docs/OutputMessage.md
new file mode 100644
index 00000000..ddee120a
--- /dev/null
+++ b/lib/docs/OutputMessage.md
@@ -0,0 +1,35 @@
+
+# OutputMessage
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **id** | **kotlin.String** | The unique ID of the output message.  |  |
+| **type** | [**inline**](#Type) | The type of the output message. Always &#x60;message&#x60;.  |  |
+| **role** | [**inline**](#Role) | The role of the output message. Always &#x60;assistant&#x60;.  |  |
+| **content** | [**kotlin.collections.List&lt;OutputContent&gt;**](OutputContent.md) | The content of the output message.  |  |
+| **status** | [**inline**](#Status) | The status of the message input. One of &#x60;in_progress&#x60;, &#x60;completed&#x60;, or &#x60;incomplete&#x60;. Populated when input items are returned via API.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | message |
+
+
+<a id="Role"></a>
+## Enum: role
+| Name | Value |
+| ---- | ----- |
+| role | assistant |
+
+
+<a id="Status"></a>
+## Enum: status
+| Name | Value |
+| ---- | ----- |
+| status | in_progress, completed, incomplete |
+
+
+
diff --git a/lib/docs/OutputText.md b/lib/docs/OutputText.md
new file mode 100644
index 00000000..5f3403c6
--- /dev/null
+++ b/lib/docs/OutputText.md
@@ -0,0 +1,19 @@
+
+# OutputText
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the output text. Always &#x60;output_text&#x60;.  |  |
+| **text** | **kotlin.String** | The text output from the model.  |  |
+| **annotations** | [**kotlin.collections.List&lt;Annotation&gt;**](Annotation.md) | The annotations of the text output.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | output_text |
+
+
+
diff --git a/lib/docs/RealtimeApi.md b/lib/docs/RealtimeApi.md
index 0115b3c2..2a5dd5b3 100644
--- a/lib/docs/RealtimeApi.md
+++ b/lib/docs/RealtimeApi.md
@@ -5,6 +5,7 @@ All URIs are relative to *https://api.openai.com/v1*
 | Method | HTTP request | Description |
 | ------------- | ------------- | ------------- |
 | [**createRealtimeSession**](RealtimeApi.md#createRealtimeSession) | **POST** /realtime/sessions | Create an ephemeral API token for use in client-side applications with the Realtime API. Can be configured with the same session parameters as the &#x60;session.update&#x60; client event.  It responds with a session object, plus a &#x60;client_secret&#x60; key which contains a usable ephemeral API token that can be used to authenticate browser clients for the Realtime API.  |
+| [**createRealtimeTranscriptionSession**](RealtimeApi.md#createRealtimeTranscriptionSession) | **POST** /realtime/transcription_sessions | Create an ephemeral API token for use in client-side applications with the Realtime API specifically for realtime transcriptions.  Can be configured with the same session parameters as the &#x60;transcription_session.update&#x60; client event.  It responds with a session object, plus a &#x60;client_secret&#x60; key which contains a usable ephemeral API token that can be used to authenticate browser clients for the Realtime API.  |
 
 
 <a id="createRealtimeSession"></a>
@@ -45,6 +46,52 @@ try {
 ### Authorization
 
 
+Configure ApiKeyAuth:
+    ApiClient.accessToken = ""
+
+### HTTP request headers
+
+ - **Content-Type**: application/json
+ - **Accept**: application/json
+
+<a id="createRealtimeTranscriptionSession"></a>
+# **createRealtimeTranscriptionSession**
+> RealtimeTranscriptionSessionCreateResponse createRealtimeTranscriptionSession(realtimeTranscriptionSessionCreateRequest)
+
+Create an ephemeral API token for use in client-side applications with the Realtime API specifically for realtime transcriptions.  Can be configured with the same session parameters as the &#x60;transcription_session.update&#x60; client event.  It responds with a session object, plus a &#x60;client_secret&#x60; key which contains a usable ephemeral API token that can be used to authenticate browser clients for the Realtime API. 
+
+### Example
+```kotlin
+// Import classes:
+//import com.openai.infrastructure.*
+//import com.openai.models.*
+
+val apiInstance = RealtimeApi()
+val realtimeTranscriptionSessionCreateRequest : RealtimeTranscriptionSessionCreateRequest =  // RealtimeTranscriptionSessionCreateRequest | Create an ephemeral API key with the given session configuration.
+try {
+    val result : RealtimeTranscriptionSessionCreateResponse = apiInstance.createRealtimeTranscriptionSession(realtimeTranscriptionSessionCreateRequest)
+    println(result)
+} catch (e: ClientException) {
+    println("4xx response calling RealtimeApi#createRealtimeTranscriptionSession")
+    e.printStackTrace()
+} catch (e: ServerException) {
+    println("5xx response calling RealtimeApi#createRealtimeTranscriptionSession")
+    e.printStackTrace()
+}
+```
+
+### Parameters
+| Name | Type | Description  | Notes |
+| ------------- | ------------- | ------------- | ------------- |
+| **realtimeTranscriptionSessionCreateRequest** | [**RealtimeTranscriptionSessionCreateRequest**](RealtimeTranscriptionSessionCreateRequest.md)| Create an ephemeral API key with the given session configuration. | |
+
+### Return type
+
+[**RealtimeTranscriptionSessionCreateResponse**](RealtimeTranscriptionSessionCreateResponse.md)
+
+### Authorization
+
+
 Configure ApiKeyAuth:
     ApiClient.accessToken = ""
 
diff --git a/lib/docs/RealtimeClientEvent.md b/lib/docs/RealtimeClientEvent.md
new file mode 100644
index 00000000..b084915a
--- /dev/null
+++ b/lib/docs/RealtimeClientEvent.md
@@ -0,0 +1,27 @@
+
+# RealtimeClientEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The event type, must be &#x60;conversation.item.create&#x60;. |  |
+| **item** | [**RealtimeConversationItem**](RealtimeConversationItem.md) |  |  |
+| **itemId** | **kotlin.String** | The ID of the assistant message item to truncate. Only assistant message  items can be truncated.  |  |
+| **contentIndex** | **kotlin.Int** | The index of the content part to truncate. Set this to 0. |  |
+| **audioEndMs** | **kotlin.Int** | Inclusive duration up to which audio is truncated, in milliseconds. If  the audio_end_ms is greater than the actual audio duration, the server  will respond with an error.  |  |
+| **audio** | **kotlin.String** | Base64-encoded audio bytes. This must be in the format specified by the  &#x60;input_audio_format&#x60; field in the session configuration.  |  |
+| **session** | [**RealtimeTranscriptionSessionCreateRequest**](RealtimeTranscriptionSessionCreateRequest.md) |  |  |
+| **eventId** | **kotlin.String** | Optional client-generated ID used to identify this event. |  [optional] |
+| **previousItemId** | **kotlin.String** | The ID of the preceding item after which the new item will be inserted.  If not set, the new item will be appended to the end of the conversation. If set to &#x60;root&#x60;, the new item will be added to the beginning of the conversation. If set to an existing ID, it allows an item to be inserted mid-conversation. If the ID cannot be found, an error will be returned and the item will not be added.  |  [optional] |
+| **responseId** | **kotlin.String** | A specific response ID to cancel - if not provided, will cancel an  in-progress response in the default conversation.  |  [optional] |
+| **response** | [**RealtimeResponseCreateParams**](RealtimeResponseCreateParams.md) |  |  [optional] |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | conversation.item.create, conversation.item.delete, conversation.item.retrieve, conversation.item.truncate, input_audio_buffer.append, input_audio_buffer.clear, input_audio_buffer.commit, response.cancel, response.create, session.update, transcription_session.update |
+
+
+
diff --git a/lib/docs/RealtimeClientEventConversationItemRetrieve.md b/lib/docs/RealtimeClientEventConversationItemRetrieve.md
new file mode 100644
index 00000000..3004b266
--- /dev/null
+++ b/lib/docs/RealtimeClientEventConversationItemRetrieve.md
@@ -0,0 +1,19 @@
+
+# RealtimeClientEventConversationItemRetrieve
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The event type, must be &#x60;conversation.item.retrieve&#x60;. |  |
+| **itemId** | **kotlin.String** | The ID of the item to retrieve. |  |
+| **eventId** | **kotlin.String** | Optional client-generated ID used to identify this event. |  [optional] |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | conversation.item.retrieve |
+
+
+
diff --git a/lib/docs/RealtimeClientEventTranscriptionSessionUpdate.md b/lib/docs/RealtimeClientEventTranscriptionSessionUpdate.md
new file mode 100644
index 00000000..f83c497d
--- /dev/null
+++ b/lib/docs/RealtimeClientEventTranscriptionSessionUpdate.md
@@ -0,0 +1,19 @@
+
+# RealtimeClientEventTranscriptionSessionUpdate
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The event type, must be &#x60;transcription_session.update&#x60;. |  |
+| **session** | [**RealtimeTranscriptionSessionCreateRequest**](RealtimeTranscriptionSessionCreateRequest.md) |  |  |
+| **eventId** | **kotlin.String** | Optional client-generated ID used to identify this event. |  [optional] |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | transcription_session.update |
+
+
+
diff --git a/lib/docs/RealtimeResponse.md b/lib/docs/RealtimeResponse.md
index b49423a6..ac6a123e 100644
--- a/lib/docs/RealtimeResponse.md
+++ b/lib/docs/RealtimeResponse.md
@@ -12,7 +12,7 @@
 | **metadata** | **kotlin.collections.Map&lt;kotlin.String, kotlin.String&gt;** | Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard.   Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.  |  [optional] |
 | **usage** | [**RealtimeResponseUsage**](RealtimeResponseUsage.md) |  |  [optional] |
 | **conversationId** | **kotlin.String** | Which conversation the response is added to, determined by the &#x60;conversation&#x60; field in the &#x60;response.create&#x60; event. If &#x60;auto&#x60;, the response will be added to the default conversation and the value of &#x60;conversation_id&#x60; will be an id like &#x60;conv_1234&#x60;. If &#x60;none&#x60;, the response will not be added to any conversation and the value of &#x60;conversation_id&#x60; will be &#x60;null&#x60;. If responses are being triggered by server VAD, the response will be added to the default conversation, thus the &#x60;conversation_id&#x60; will be an id like &#x60;conv_1234&#x60;.  |  [optional] |
-| **voice** | [**inline**](#Voice) | The voice the model used to respond. Current voice options are &#x60;alloy&#x60;, &#x60;ash&#x60;, &#x60;ballad&#x60;, &#x60;coral&#x60;, &#x60;echo&#x60; &#x60;sage&#x60;,  &#x60;shimmer&#x60; and &#x60;verse&#x60;.  |  [optional] |
+| **voice** | [**VoiceIdsShared**](VoiceIdsShared.md) |  |  [optional] |
 | **modalities** | [**inline**](#kotlin.collections.List&lt;Modalities&gt;) | The set of modalities the model used to respond. If there are multiple modalities, the model will pick one, for example if &#x60;modalities&#x60; is &#x60;[\&quot;text\&quot;, \&quot;audio\&quot;]&#x60;, the model could be responding in either text or audio.  |  [optional] |
 | **outputAudioFormat** | [**inline**](#OutputAudioFormat) | The format of output audio. Options are &#x60;pcm16&#x60;, &#x60;g711_ulaw&#x60;, or &#x60;g711_alaw&#x60;.  |  [optional] |
 | **temperature** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | Sampling temperature for the model, limited to [0.6, 1.2]. Defaults to 0.8.  |  [optional] |
@@ -33,13 +33,6 @@
 | status | completed, cancelled, failed, incomplete |
 
 
-<a id="Voice"></a>
-## Enum: voice
-| Name | Value |
-| ---- | ----- |
-| voice | alloy, ash, ballad, coral, echo, sage, shimmer, verse |
-
-
 <a id="kotlin.collections.List<Modalities>"></a>
 ## Enum: modalities
 | Name | Value |
diff --git a/lib/docs/RealtimeResponseCreateParams.md b/lib/docs/RealtimeResponseCreateParams.md
index 2d0a0725..59a66da8 100644
--- a/lib/docs/RealtimeResponseCreateParams.md
+++ b/lib/docs/RealtimeResponseCreateParams.md
@@ -6,7 +6,7 @@
 | ------------ | ------------- | ------------- | ------------- |
 | **modalities** | [**inline**](#kotlin.collections.List&lt;Modalities&gt;) | The set of modalities the model can respond with. To disable audio, set this to [\&quot;text\&quot;].  |  [optional] |
 | **instructions** | **kotlin.String** | The default system instructions (i.e. system message) prepended to model  calls. This field allows the client to guide the model on desired  responses. The model can be instructed on response content and format,  (e.g. \&quot;be extremely succinct\&quot;, \&quot;act friendly\&quot;, \&quot;here are examples of good  responses\&quot;) and on audio behavior (e.g. \&quot;talk quickly\&quot;, \&quot;inject emotion  into your voice\&quot;, \&quot;laugh frequently\&quot;). The instructions are not guaranteed  to be followed by the model, but they provide guidance to the model on the  desired behavior.  Note that the server sets default instructions which will be used if this  field is not set and are visible in the &#x60;session.created&#x60; event at the  start of the session.  |  [optional] |
-| **voice** | [**inline**](#Voice) | The voice the model uses to respond. Voice cannot be changed during the  session once the model has responded with audio at least once. Current  voice options are &#x60;alloy&#x60;, &#x60;ash&#x60;, &#x60;ballad&#x60;, &#x60;coral&#x60;, &#x60;echo&#x60; &#x60;sage&#x60;,  &#x60;shimmer&#x60; and &#x60;verse&#x60;.  |  [optional] |
+| **voice** | [**VoiceIdsShared**](VoiceIdsShared.md) |  |  [optional] |
 | **outputAudioFormat** | [**inline**](#OutputAudioFormat) | The format of output audio. Options are &#x60;pcm16&#x60;, &#x60;g711_ulaw&#x60;, or &#x60;g711_alaw&#x60;.  |  [optional] |
 | **tools** | [**kotlin.collections.List&lt;RealtimeResponseCreateParamsToolsInner&gt;**](RealtimeResponseCreateParamsToolsInner.md) | Tools (functions) available to the model. |  [optional] |
 | **toolChoice** | **kotlin.String** | How the model chooses tools. Options are &#x60;auto&#x60;, &#x60;none&#x60;, &#x60;required&#x60;, or  specify a function, like &#x60;{\&quot;type\&quot;: \&quot;function\&quot;, \&quot;function\&quot;: {\&quot;name\&quot;: \&quot;my_function\&quot;}}&#x60;.  |  [optional] |
@@ -24,13 +24,6 @@
 | modalities | text, audio |
 
 
-<a id="Voice"></a>
-## Enum: voice
-| Name | Value |
-| ---- | ----- |
-| voice | alloy, ash, ballad, coral, echo, sage, shimmer, verse |
-
-
 <a id="OutputAudioFormat"></a>
 ## Enum: output_audio_format
 | Name | Value |
diff --git a/lib/docs/RealtimeServerEvent.md b/lib/docs/RealtimeServerEvent.md
new file mode 100644
index 00000000..ebe8fcb2
--- /dev/null
+++ b/lib/docs/RealtimeServerEvent.md
@@ -0,0 +1,38 @@
+
+# RealtimeServerEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **eventId** | **kotlin.String** | The unique ID of the server event. |  |
+| **type** | [**inline**](#Type) | The event type, must be &#x60;conversation.created&#x60;. |  |
+| **conversation** | [**RealtimeServerEventConversationCreatedConversation**](RealtimeServerEventConversationCreatedConversation.md) |  |  |
+| **previousItemId** | **kotlin.String** | The ID of the preceding item after which the new item will be inserted.  |  |
+| **item** | [**RealtimeConversationItem**](RealtimeConversationItem.md) |  |  |
+| **itemId** | **kotlin.String** | The ID of the item. |  |
+| **contentIndex** | **kotlin.Int** | The index of the content part in the item&#39;s content array. |  |
+| **transcript** | **kotlin.String** | The final transcript of the audio. |  |
+| **delta** | **kotlin.String** | The text delta. |  |
+| **error** | [**RealtimeServerEventErrorError**](RealtimeServerEventErrorError.md) |  |  |
+| **audioEndMs** | **kotlin.Int** | Milliseconds since the session started when speech stopped. This will  correspond to the end of audio sent to the model, and thus includes the  &#x60;min_silence_duration_ms&#x60; configured in the Session.  |  |
+| **audioStartMs** | **kotlin.Int** | Milliseconds from the start of all audio written to the buffer during the  session when speech was first detected. This will correspond to the  beginning of audio sent to the model, and thus includes the  &#x60;prefix_padding_ms&#x60; configured in the Session.  |  |
+| **rateLimits** | [**kotlin.collections.List&lt;RealtimeServerEventRateLimitsUpdatedRateLimitsInner&gt;**](RealtimeServerEventRateLimitsUpdatedRateLimitsInner.md) | List of rate limit information. |  |
+| **responseId** | **kotlin.String** | The ID of the response. |  |
+| **outputIndex** | **kotlin.Int** | The index of the output item in the response. |  |
+| **part** | [**RealtimeServerEventResponseContentPartDonePart**](RealtimeServerEventResponseContentPartDonePart.md) |  |  |
+| **response** | [**RealtimeResponse**](RealtimeResponse.md) |  |  |
+| **callId** | **kotlin.String** | The ID of the function call. |  |
+| **arguments** | **kotlin.String** | The final arguments as a JSON string. |  |
+| **text** | **kotlin.String** | The final text content. |  |
+| **session** | [**RealtimeTranscriptionSessionCreateResponse**](RealtimeTranscriptionSessionCreateResponse.md) |  |  |
+| **logprobs** | [**kotlin.collections.List&lt;LogProbProperties&gt;**](LogProbProperties.md) | The log probabilities of the transcription. |  [optional] |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | conversation.created, conversation.item.created, conversation.item.deleted, conversation.item.input_audio_transcription.completed, conversation.item.input_audio_transcription.delta, conversation.item.input_audio_transcription.failed, conversation.item.retrieved, conversation.item.truncated, error, input_audio_buffer.cleared, input_audio_buffer.committed, input_audio_buffer.speech_started, input_audio_buffer.speech_stopped, rate_limits.updated, response.audio.delta, response.audio.done, response.audio_transcript.delta, response.audio_transcript.done, response.content_part.added, response.content_part.done, response.created, response.done, response.function_call_arguments.delta, response.function_call_arguments.done, response.output_item.added, response.output_item.done, response.text.delta, response.text.done, session.created, session.updated, transcription_session.updated |
+
+
+
diff --git a/lib/docs/RealtimeServerEventConversationItemInputAudioTranscriptionCompleted.md b/lib/docs/RealtimeServerEventConversationItemInputAudioTranscriptionCompleted.md
index c5240b0d..3f7d9e78 100644
--- a/lib/docs/RealtimeServerEventConversationItemInputAudioTranscriptionCompleted.md
+++ b/lib/docs/RealtimeServerEventConversationItemInputAudioTranscriptionCompleted.md
@@ -9,6 +9,7 @@
 | **itemId** | **kotlin.String** | The ID of the user message item containing the audio. |  |
 | **contentIndex** | **kotlin.Int** | The index of the content part containing the audio. |  |
 | **transcript** | **kotlin.String** | The transcribed text. |  |
+| **logprobs** | [**kotlin.collections.List&lt;LogProbProperties&gt;**](LogProbProperties.md) | The log probabilities of the transcription. |  [optional] |
 
 
 <a id="Type"></a>
diff --git a/lib/docs/RealtimeServerEventConversationItemInputAudioTranscriptionDelta.md b/lib/docs/RealtimeServerEventConversationItemInputAudioTranscriptionDelta.md
new file mode 100644
index 00000000..78687b7c
--- /dev/null
+++ b/lib/docs/RealtimeServerEventConversationItemInputAudioTranscriptionDelta.md
@@ -0,0 +1,22 @@
+
+# RealtimeServerEventConversationItemInputAudioTranscriptionDelta
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **eventId** | **kotlin.String** | The unique ID of the server event. |  |
+| **type** | [**inline**](#Type) | The event type, must be &#x60;conversation.item.input_audio_transcription.delta&#x60;. |  |
+| **itemId** | **kotlin.String** | The ID of the item. |  |
+| **contentIndex** | **kotlin.Int** | The index of the content part in the item&#39;s content array. |  [optional] |
+| **delta** | **kotlin.String** | The text delta. |  [optional] |
+| **logprobs** | [**kotlin.collections.List&lt;LogProbProperties&gt;**](LogProbProperties.md) | The log probabilities of the transcription. |  [optional] |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | conversation.item.input_audio_transcription.delta |
+
+
+
diff --git a/lib/docs/RealtimeServerEventConversationItemRetrieved.md b/lib/docs/RealtimeServerEventConversationItemRetrieved.md
new file mode 100644
index 00000000..f5b5c95d
--- /dev/null
+++ b/lib/docs/RealtimeServerEventConversationItemRetrieved.md
@@ -0,0 +1,19 @@
+
+# RealtimeServerEventConversationItemRetrieved
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **eventId** | **kotlin.String** | The unique ID of the server event. |  |
+| **type** | [**inline**](#Type) | The event type, must be &#x60;conversation.item.retrieved&#x60;. |  |
+| **item** | [**RealtimeConversationItem**](RealtimeConversationItem.md) |  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | conversation.item.retrieved |
+
+
+
diff --git a/lib/docs/RealtimeServerEventTranscriptionSessionUpdated.md b/lib/docs/RealtimeServerEventTranscriptionSessionUpdated.md
new file mode 100644
index 00000000..4d6ace35
--- /dev/null
+++ b/lib/docs/RealtimeServerEventTranscriptionSessionUpdated.md
@@ -0,0 +1,19 @@
+
+# RealtimeServerEventTranscriptionSessionUpdated
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **eventId** | **kotlin.String** | The unique ID of the server event. |  |
+| **type** | [**inline**](#Type) | The event type, must be &#x60;transcription_session.updated&#x60;. |  |
+| **session** | [**RealtimeTranscriptionSessionCreateResponse**](RealtimeTranscriptionSessionCreateResponse.md) |  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | transcription_session.updated |
+
+
+
diff --git a/lib/docs/RealtimeSession.md b/lib/docs/RealtimeSession.md
index e11ff632..65258b27 100644
--- a/lib/docs/RealtimeSession.md
+++ b/lib/docs/RealtimeSession.md
@@ -4,18 +4,19 @@
 ## Properties
 | Name | Type | Description | Notes |
 | ------------ | ------------- | ------------- | ------------- |
-| **id** | **kotlin.String** | Unique identifier for the session object.  |  [optional] |
+| **id** | **kotlin.String** | Unique identifier for the session that looks like &#x60;sess_1234567890abcdef&#x60;.  |  [optional] |
 | **modalities** | [**inline**](#kotlin.collections.List&lt;Modalities&gt;) | The set of modalities the model can respond with. To disable audio, set this to [\&quot;text\&quot;].  |  [optional] |
-| **model** | [**RealtimeSessionModel**](RealtimeSessionModel.md) |  |  [optional] |
-| **instructions** | **kotlin.String** | The default system instructions (i.e. system message) prepended to model  calls. This field allows the client to guide the model on desired  responses. The model can be instructed on response content and format,  (e.g. \&quot;be extremely succinct\&quot;, \&quot;act friendly\&quot;, \&quot;here are examples of good  responses\&quot;) and on audio behavior (e.g. \&quot;talk quickly\&quot;, \&quot;inject emotion  into your voice\&quot;, \&quot;laugh frequently\&quot;). The instructions are not guaranteed  to be followed by the model, but they provide guidance to the model on the  desired behavior.  Note that the server sets default instructions which will be used if this  field is not set and are visible in the &#x60;session.created&#x60; event at the  start of the session.  |  [optional] |
-| **voice** | [**inline**](#Voice) | The voice the model uses to respond. Voice cannot be changed during the  session once the model has responded with audio at least once. Current  voice options are &#x60;alloy&#x60;, &#x60;ash&#x60;, &#x60;ballad&#x60;, &#x60;coral&#x60;, &#x60;echo&#x60; &#x60;sage&#x60;,  &#x60;shimmer&#x60; and &#x60;verse&#x60;.  |  [optional] |
+| **model** | [**inline**](#Model) | The Realtime model used for this session.  |  [optional] |
+| **instructions** | **kotlin.String** | The default system instructions (i.e. system message) prepended to model  calls. This field allows the client to guide the model on desired  responses. The model can be instructed on response content and format,  (e.g. \&quot;be extremely succinct\&quot;, \&quot;act friendly\&quot;, \&quot;here are examples of good  responses\&quot;) and on audio behavior (e.g. \&quot;talk quickly\&quot;, \&quot;inject emotion  into your voice\&quot;, \&quot;laugh frequently\&quot;). The instructions are not guaranteed  to be followed by the model, but they provide guidance to the model on the desired behavior.  Note that the server sets default instructions which will be used if this  field is not set and are visible in the &#x60;session.created&#x60; event at the  start of the session.  |  [optional] |
+| **voice** | [**VoiceIdsShared**](VoiceIdsShared.md) |  |  [optional] |
 | **inputAudioFormat** | [**inline**](#InputAudioFormat) | The format of input audio. Options are &#x60;pcm16&#x60;, &#x60;g711_ulaw&#x60;, or &#x60;g711_alaw&#x60;. For &#x60;pcm16&#x60;, input audio must be 16-bit PCM at a 24kHz sample rate,  single channel (mono), and little-endian byte order.  |  [optional] |
 | **outputAudioFormat** | [**inline**](#OutputAudioFormat) | The format of output audio. Options are &#x60;pcm16&#x60;, &#x60;g711_ulaw&#x60;, or &#x60;g711_alaw&#x60;. For &#x60;pcm16&#x60;, output audio is sampled at a rate of 24kHz.  |  [optional] |
 | **inputAudioTranscription** | [**RealtimeSessionInputAudioTranscription**](RealtimeSessionInputAudioTranscription.md) |  |  [optional] |
 | **turnDetection** | [**RealtimeSessionTurnDetection**](RealtimeSessionTurnDetection.md) |  |  [optional] |
+| **inputAudioNoiseReduction** | [**RealtimeSessionInputAudioNoiseReduction**](RealtimeSessionInputAudioNoiseReduction.md) |  |  [optional] |
 | **tools** | [**kotlin.collections.List&lt;RealtimeResponseCreateParamsToolsInner&gt;**](RealtimeResponseCreateParamsToolsInner.md) | Tools (functions) available to the model. |  [optional] |
 | **toolChoice** | **kotlin.String** | How the model chooses tools. Options are &#x60;auto&#x60;, &#x60;none&#x60;, &#x60;required&#x60;, or  specify a function.  |  [optional] |
-| **temperature** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | Sampling temperature for the model, limited to [0.6, 1.2]. Defaults to 0.8.  |  [optional] |
+| **temperature** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | Sampling temperature for the model, limited to [0.6, 1.2]. For audio models a temperature of 0.8 is highly recommended for best performance.  |  [optional] |
 | **maxResponseOutputTokens** | [**RealtimeResponseCreateParamsMaxResponseOutputTokens**](RealtimeResponseCreateParamsMaxResponseOutputTokens.md) |  |  [optional] |
 
 
@@ -26,11 +27,11 @@
 | modalities | text, audio |
 
 
-<a id="Voice"></a>
-## Enum: voice
+<a id="Model"></a>
+## Enum: model
 | Name | Value |
 | ---- | ----- |
-| voice | alloy, ash, ballad, coral, echo, sage, shimmer, verse |
+| model | gpt-4o-realtime-preview, gpt-4o-realtime-preview-2024-10-01, gpt-4o-realtime-preview-2024-12-17, gpt-4o-mini-realtime-preview, gpt-4o-mini-realtime-preview-2024-12-17 |
 
 
 <a id="InputAudioFormat"></a>
diff --git a/lib/docs/RealtimeSessionCreateRequest.md b/lib/docs/RealtimeSessionCreateRequest.md
index 18f21612..e65a33c2 100644
--- a/lib/docs/RealtimeSessionCreateRequest.md
+++ b/lib/docs/RealtimeSessionCreateRequest.md
@@ -6,15 +6,16 @@
 | ------------ | ------------- | ------------- | ------------- |
 | **modalities** | [**inline**](#kotlin.collections.List&lt;Modalities&gt;) | The set of modalities the model can respond with. To disable audio, set this to [\&quot;text\&quot;].  |  [optional] |
 | **model** | [**inline**](#Model) | The Realtime model used for this session.  |  [optional] |
-| **instructions** | **kotlin.String** | The default system instructions (i.e. system message) prepended to model  calls. This field allows the client to guide the model on desired  responses. The model can be instructed on response content and format,  (e.g. \&quot;be extremely succinct\&quot;, \&quot;act friendly\&quot;, \&quot;here are examples of good  responses\&quot;) and on audio behavior (e.g. \&quot;talk quickly\&quot;, \&quot;inject emotion  into your voice\&quot;, \&quot;laugh frequently\&quot;). The instructions are not guaranteed  to be followed by the model, but they provide guidance to the model on the  desired behavior.  Note that the server sets default instructions which will be used if this  field is not set and are visible in the &#x60;session.created&#x60; event at the  start of the session.  |  [optional] |
-| **voice** | [**inline**](#Voice) | The voice the model uses to respond. Voice cannot be changed during the  session once the model has responded with audio at least once. Current  voice options are &#x60;alloy&#x60;, &#x60;ash&#x60;, &#x60;ballad&#x60;, &#x60;coral&#x60;, &#x60;echo&#x60; &#x60;sage&#x60;,  &#x60;shimmer&#x60; and &#x60;verse&#x60;.  |  [optional] |
+| **instructions** | **kotlin.String** | The default system instructions (i.e. system message) prepended to model  calls. This field allows the client to guide the model on desired  responses. The model can be instructed on response content and format,  (e.g. \&quot;be extremely succinct\&quot;, \&quot;act friendly\&quot;, \&quot;here are examples of good  responses\&quot;) and on audio behavior (e.g. \&quot;talk quickly\&quot;, \&quot;inject emotion  into your voice\&quot;, \&quot;laugh frequently\&quot;). The instructions are not guaranteed  to be followed by the model, but they provide guidance to the model on the desired behavior.  Note that the server sets default instructions which will be used if this  field is not set and are visible in the &#x60;session.created&#x60; event at the  start of the session.  |  [optional] |
+| **voice** | [**VoiceIdsShared**](VoiceIdsShared.md) |  |  [optional] |
 | **inputAudioFormat** | [**inline**](#InputAudioFormat) | The format of input audio. Options are &#x60;pcm16&#x60;, &#x60;g711_ulaw&#x60;, or &#x60;g711_alaw&#x60;. For &#x60;pcm16&#x60;, input audio must be 16-bit PCM at a 24kHz sample rate,  single channel (mono), and little-endian byte order.  |  [optional] |
 | **outputAudioFormat** | [**inline**](#OutputAudioFormat) | The format of output audio. Options are &#x60;pcm16&#x60;, &#x60;g711_ulaw&#x60;, or &#x60;g711_alaw&#x60;. For &#x60;pcm16&#x60;, output audio is sampled at a rate of 24kHz.  |  [optional] |
-| **inputAudioTranscription** | [**RealtimeSessionCreateRequestInputAudioTranscription**](RealtimeSessionCreateRequestInputAudioTranscription.md) |  |  [optional] |
-| **turnDetection** | [**RealtimeSessionCreateRequestTurnDetection**](RealtimeSessionCreateRequestTurnDetection.md) |  |  [optional] |
+| **inputAudioTranscription** | [**RealtimeSessionInputAudioTranscription**](RealtimeSessionInputAudioTranscription.md) |  |  [optional] |
+| **turnDetection** | [**RealtimeSessionTurnDetection**](RealtimeSessionTurnDetection.md) |  |  [optional] |
+| **inputAudioNoiseReduction** | [**RealtimeSessionInputAudioNoiseReduction**](RealtimeSessionInputAudioNoiseReduction.md) |  |  [optional] |
 | **tools** | [**kotlin.collections.List&lt;RealtimeResponseCreateParamsToolsInner&gt;**](RealtimeResponseCreateParamsToolsInner.md) | Tools (functions) available to the model. |  [optional] |
 | **toolChoice** | **kotlin.String** | How the model chooses tools. Options are &#x60;auto&#x60;, &#x60;none&#x60;, &#x60;required&#x60;, or  specify a function.  |  [optional] |
-| **temperature** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | Sampling temperature for the model, limited to [0.6, 1.2]. Defaults to 0.8.  |  [optional] |
+| **temperature** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | Sampling temperature for the model, limited to [0.6, 1.2]. For audio models a temperature of 0.8 is highly recommended for best performance.  |  [optional] |
 | **maxResponseOutputTokens** | [**RealtimeResponseCreateParamsMaxResponseOutputTokens**](RealtimeResponseCreateParamsMaxResponseOutputTokens.md) |  |  [optional] |
 
 
@@ -32,13 +33,6 @@
 | model | gpt-4o-realtime-preview, gpt-4o-realtime-preview-2024-10-01, gpt-4o-realtime-preview-2024-12-17, gpt-4o-mini-realtime-preview, gpt-4o-mini-realtime-preview-2024-12-17 |
 
 
-<a id="Voice"></a>
-## Enum: voice
-| Name | Value |
-| ---- | ----- |
-| voice | alloy, ash, ballad, coral, echo, sage, shimmer, verse |
-
-
 <a id="InputAudioFormat"></a>
 ## Enum: input_audio_format
 | Name | Value |
diff --git a/lib/docs/RealtimeSessionCreateRequestTurnDetection.md b/lib/docs/RealtimeSessionCreateRequestTurnDetection.md
deleted file mode 100644
index bce7e248..00000000
--- a/lib/docs/RealtimeSessionCreateRequestTurnDetection.md
+++ /dev/null
@@ -1,14 +0,0 @@
-
-# RealtimeSessionCreateRequestTurnDetection
-
-## Properties
-| Name | Type | Description | Notes |
-| ------------ | ------------- | ------------- | ------------- |
-| **type** | **kotlin.String** | Type of turn detection, only &#x60;server_vad&#x60; is currently supported.  |  [optional] |
-| **threshold** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | Activation threshold for VAD (0.0 to 1.0), this defaults to 0.5. A  higher threshold will require louder audio to activate the model, and  thus might perform better in noisy environments.  |  [optional] |
-| **prefixPaddingMs** | **kotlin.Int** | Amount of audio to include before the VAD detected speech (in  milliseconds). Defaults to 300ms.  |  [optional] |
-| **silenceDurationMs** | **kotlin.Int** | Duration of silence to detect speech stop (in milliseconds). Defaults  to 500ms. With shorter values the model will respond more quickly,  but may jump in on short pauses from the user.  |  [optional] |
-| **createResponse** | **kotlin.Boolean** | Whether or not to automatically generate a response when VAD is enabled. &#x60;true&#x60; by default.  |  [optional] |
-
-
-
diff --git a/lib/docs/RealtimeSessionCreateResponse.md b/lib/docs/RealtimeSessionCreateResponse.md
index 68c0fe1d..968931d3 100644
--- a/lib/docs/RealtimeSessionCreateResponse.md
+++ b/lib/docs/RealtimeSessionCreateResponse.md
@@ -7,10 +7,10 @@
 | **clientSecret** | [**RealtimeSessionCreateResponseClientSecret**](RealtimeSessionCreateResponseClientSecret.md) |  |  |
 | **modalities** | [**inline**](#kotlin.collections.List&lt;Modalities&gt;) | The set of modalities the model can respond with. To disable audio, set this to [\&quot;text\&quot;].  |  [optional] |
 | **instructions** | **kotlin.String** | The default system instructions (i.e. system message) prepended to model  calls. This field allows the client to guide the model on desired  responses. The model can be instructed on response content and format,  (e.g. \&quot;be extremely succinct\&quot;, \&quot;act friendly\&quot;, \&quot;here are examples of good  responses\&quot;) and on audio behavior (e.g. \&quot;talk quickly\&quot;, \&quot;inject emotion  into your voice\&quot;, \&quot;laugh frequently\&quot;). The instructions are not guaranteed  to be followed by the model, but they provide guidance to the model on the  desired behavior.  Note that the server sets default instructions which will be used if this  field is not set and are visible in the &#x60;session.created&#x60; event at the  start of the session.  |  [optional] |
-| **voice** | [**inline**](#Voice) | The voice the model uses to respond. Voice cannot be changed during the  session once the model has responded with audio at least once. Current  voice options are &#x60;alloy&#x60;, &#x60;ash&#x60;, &#x60;ballad&#x60;, &#x60;coral&#x60;, &#x60;echo&#x60; &#x60;sage&#x60;,  &#x60;shimmer&#x60; and &#x60;verse&#x60;.  |  [optional] |
+| **voice** | [**VoiceIdsShared**](VoiceIdsShared.md) |  |  [optional] |
 | **inputAudioFormat** | **kotlin.String** | The format of input audio. Options are &#x60;pcm16&#x60;, &#x60;g711_ulaw&#x60;, or &#x60;g711_alaw&#x60;.  |  [optional] |
 | **outputAudioFormat** | **kotlin.String** | The format of output audio. Options are &#x60;pcm16&#x60;, &#x60;g711_ulaw&#x60;, or &#x60;g711_alaw&#x60;.  |  [optional] |
-| **inputAudioTranscription** | [**RealtimeSessionInputAudioTranscription**](RealtimeSessionInputAudioTranscription.md) |  |  [optional] |
+| **inputAudioTranscription** | [**RealtimeSessionCreateResponseInputAudioTranscription**](RealtimeSessionCreateResponseInputAudioTranscription.md) |  |  [optional] |
 | **turnDetection** | [**RealtimeSessionCreateResponseTurnDetection**](RealtimeSessionCreateResponseTurnDetection.md) |  |  [optional] |
 | **tools** | [**kotlin.collections.List&lt;RealtimeResponseCreateParamsToolsInner&gt;**](RealtimeResponseCreateParamsToolsInner.md) | Tools (functions) available to the model. |  [optional] |
 | **toolChoice** | **kotlin.String** | How the model chooses tools. Options are &#x60;auto&#x60;, &#x60;none&#x60;, &#x60;required&#x60;, or  specify a function.  |  [optional] |
@@ -25,11 +25,4 @@
 | modalities | text, audio |
 
 
-<a id="Voice"></a>
-## Enum: voice
-| Name | Value |
-| ---- | ----- |
-| voice | alloy, ash, ballad, coral, echo, sage, shimmer, verse |
-
-
 
diff --git a/lib/docs/RealtimeSessionCreateResponseInputAudioTranscription.md b/lib/docs/RealtimeSessionCreateResponseInputAudioTranscription.md
new file mode 100644
index 00000000..1fd7d5d6
--- /dev/null
+++ b/lib/docs/RealtimeSessionCreateResponseInputAudioTranscription.md
@@ -0,0 +1,10 @@
+
+# RealtimeSessionCreateResponseInputAudioTranscription
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **model** | **kotlin.String** | The model to use for transcription, &#x60;whisper-1&#x60; is the only currently  supported model.  |  [optional] |
+
+
+
diff --git a/lib/docs/RealtimeSessionInputAudioNoiseReduction.md b/lib/docs/RealtimeSessionInputAudioNoiseReduction.md
new file mode 100644
index 00000000..d37263ea
--- /dev/null
+++ b/lib/docs/RealtimeSessionInputAudioNoiseReduction.md
@@ -0,0 +1,17 @@
+
+# RealtimeSessionInputAudioNoiseReduction
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | Type of noise reduction. &#x60;near_field&#x60; is for close-talking microphones such as headphones, &#x60;far_field&#x60; is for far-field microphones such as laptop or conference room microphones.  |  [optional] |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | near_field, far_field |
+
+
+
diff --git a/lib/docs/RealtimeSessionInputAudioTranscription.md b/lib/docs/RealtimeSessionInputAudioTranscription.md
index a80c0449..e4e4b5d9 100644
--- a/lib/docs/RealtimeSessionInputAudioTranscription.md
+++ b/lib/docs/RealtimeSessionInputAudioTranscription.md
@@ -4,7 +4,9 @@
 ## Properties
 | Name | Type | Description | Notes |
 | ------------ | ------------- | ------------- | ------------- |
-| **model** | **kotlin.String** | The model to use for transcription, &#x60;whisper-1&#x60; is the only currently  supported model.  |  [optional] |
+| **model** | **kotlin.String** | The model to use for transcription, current options are &#x60;gpt-4o-transcribe&#x60;, &#x60;gpt-4o-mini-transcribe&#x60;, and &#x60;whisper-1&#x60;.  |  [optional] |
+| **language** | **kotlin.String** | The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g. &#x60;en&#x60;) format will improve accuracy and latency.  |  [optional] |
+| **prompt** | **kotlin.String** | An optional text to guide the model&#39;s style or continue a previous audio segment. For &#x60;whisper-1&#x60;, the [prompt is a list of keywords](/docs/guides/speech-to-text#prompting). For &#x60;gpt-4o-transcribe&#x60; models, the prompt is a free text string, for example \&quot;expect words related to technology\&quot;.  |  [optional] |
 
 
 
diff --git a/lib/docs/RealtimeSessionTurnDetection.md b/lib/docs/RealtimeSessionTurnDetection.md
index 38e34c6c..38a0c27f 100644
--- a/lib/docs/RealtimeSessionTurnDetection.md
+++ b/lib/docs/RealtimeSessionTurnDetection.md
@@ -4,17 +4,27 @@
 ## Properties
 | Name | Type | Description | Notes |
 | ------------ | ------------- | ------------- | ------------- |
-| **type** | [**inline**](#Type) | Type of turn detection, only &#x60;server_vad&#x60; is currently supported.  |  [optional] |
-| **threshold** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | Activation threshold for VAD (0.0 to 1.0), this defaults to 0.5. A  higher threshold will require louder audio to activate the model, and  thus might perform better in noisy environments.  |  [optional] |
-| **prefixPaddingMs** | **kotlin.Int** | Amount of audio to include before the VAD detected speech (in  milliseconds). Defaults to 300ms.  |  [optional] |
-| **silenceDurationMs** | **kotlin.Int** | Duration of silence to detect speech stop (in milliseconds). Defaults  to 500ms. With shorter values the model will respond more quickly,  but may jump in on short pauses from the user.  |  [optional] |
+| **type** | [**inline**](#Type) | Type of turn detection.  |  [optional] |
+| **eagerness** | [**inline**](#Eagerness) | Used only for &#x60;semantic_vad&#x60; mode. The eagerness of the model to respond. &#x60;low&#x60; will wait longer for the user to continue speaking, &#x60;high&#x60; will respond more quickly. &#x60;auto&#x60; is the default and is equivalent to &#x60;medium&#x60;.  |  [optional] |
+| **threshold** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | Used only for &#x60;server_vad&#x60; mode. Activation threshold for VAD (0.0 to 1.0), this defaults to 0.5. A  higher threshold will require louder audio to activate the model, and  thus might perform better in noisy environments.  |  [optional] |
+| **prefixPaddingMs** | **kotlin.Int** | Used only for &#x60;server_vad&#x60; mode. Amount of audio to include before the VAD detected speech (in  milliseconds). Defaults to 300ms.  |  [optional] |
+| **silenceDurationMs** | **kotlin.Int** | Used only for &#x60;server_vad&#x60; mode. Duration of silence to detect speech stop (in milliseconds). Defaults  to 500ms. With shorter values the model will respond more quickly,  but may jump in on short pauses from the user.  |  [optional] |
+| **createResponse** | **kotlin.Boolean** | Whether or not to automatically generate a response when a VAD stop event occurs.  |  [optional] |
+| **interruptResponse** | **kotlin.Boolean** | Whether or not to automatically interrupt any ongoing response with output to the default conversation (i.e. &#x60;conversation&#x60; of &#x60;auto&#x60;) when a VAD start event occurs.  |  [optional] |
 
 
 <a id="Type"></a>
 ## Enum: type
 | Name | Value |
 | ---- | ----- |
-| type | server_vad |
+| type | server_vad, semantic_vad |
+
+
+<a id="Eagerness"></a>
+## Enum: eagerness
+| Name | Value |
+| ---- | ----- |
+| eagerness | low, medium, high, auto |
 
 
 
diff --git a/lib/docs/RealtimeTranscriptionSessionCreateRequest.md b/lib/docs/RealtimeTranscriptionSessionCreateRequest.md
new file mode 100644
index 00000000..4ee3436a
--- /dev/null
+++ b/lib/docs/RealtimeTranscriptionSessionCreateRequest.md
@@ -0,0 +1,29 @@
+
+# RealtimeTranscriptionSessionCreateRequest
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **modalities** | [**inline**](#kotlin.collections.List&lt;Modalities&gt;) | The set of modalities the model can respond with. To disable audio, set this to [\&quot;text\&quot;].  |  [optional] |
+| **inputAudioFormat** | [**inline**](#InputAudioFormat) | The format of input audio. Options are &#x60;pcm16&#x60;, &#x60;g711_ulaw&#x60;, or &#x60;g711_alaw&#x60;. For &#x60;pcm16&#x60;, input audio must be 16-bit PCM at a 24kHz sample rate,  single channel (mono), and little-endian byte order.  |  [optional] |
+| **inputAudioTranscription** | [**RealtimeTranscriptionSessionCreateRequestInputAudioTranscription**](RealtimeTranscriptionSessionCreateRequestInputAudioTranscription.md) |  |  [optional] |
+| **turnDetection** | [**RealtimeTranscriptionSessionCreateRequestTurnDetection**](RealtimeTranscriptionSessionCreateRequestTurnDetection.md) |  |  [optional] |
+| **inputAudioNoiseReduction** | [**RealtimeSessionInputAudioNoiseReduction**](RealtimeSessionInputAudioNoiseReduction.md) |  |  [optional] |
+| **include** | **kotlin.collections.List&lt;kotlin.String&gt;** | The set of items to include in the transcription. Current available items are: - &#x60;item.input_audio_transcription.logprobs&#x60;  |  [optional] |
+
+
+<a id="kotlin.collections.List<Modalities>"></a>
+## Enum: modalities
+| Name | Value |
+| ---- | ----- |
+| modalities | text, audio |
+
+
+<a id="InputAudioFormat"></a>
+## Enum: input_audio_format
+| Name | Value |
+| ---- | ----- |
+| inputAudioFormat | pcm16, g711_ulaw, g711_alaw |
+
+
+
diff --git a/lib/docs/RealtimeTranscriptionSessionCreateRequestInputAudioTranscription.md b/lib/docs/RealtimeTranscriptionSessionCreateRequestInputAudioTranscription.md
new file mode 100644
index 00000000..f9762c3c
--- /dev/null
+++ b/lib/docs/RealtimeTranscriptionSessionCreateRequestInputAudioTranscription.md
@@ -0,0 +1,19 @@
+
+# RealtimeTranscriptionSessionCreateRequestInputAudioTranscription
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **model** | [**inline**](#Model) | The model to use for transcription, current options are &#x60;gpt-4o-transcribe&#x60;, &#x60;gpt-4o-mini-transcribe&#x60;, and &#x60;whisper-1&#x60;.  |  [optional] |
+| **language** | **kotlin.String** | The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g. &#x60;en&#x60;) format will improve accuracy and latency.  |  [optional] |
+| **prompt** | **kotlin.String** | An optional text to guide the model&#39;s style or continue a previous audio segment. For &#x60;whisper-1&#x60;, the [prompt is a list of keywords](/docs/guides/speech-to-text#prompting). For &#x60;gpt-4o-transcribe&#x60; models, the prompt is a free text string, for example \&quot;expect words related to technology\&quot;.  |  [optional] |
+
+
+<a id="Model"></a>
+## Enum: model
+| Name | Value |
+| ---- | ----- |
+| model | gpt-4o-transcribe, gpt-4o-mini-transcribe, whisper-1 |
+
+
+
diff --git a/lib/docs/RealtimeTranscriptionSessionCreateRequestTurnDetection.md b/lib/docs/RealtimeTranscriptionSessionCreateRequestTurnDetection.md
new file mode 100644
index 00000000..a4ccfdf5
--- /dev/null
+++ b/lib/docs/RealtimeTranscriptionSessionCreateRequestTurnDetection.md
@@ -0,0 +1,30 @@
+
+# RealtimeTranscriptionSessionCreateRequestTurnDetection
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | Type of turn detection.  |  [optional] |
+| **eagerness** | [**inline**](#Eagerness) | Used only for &#x60;semantic_vad&#x60; mode. The eagerness of the model to respond. &#x60;low&#x60; will wait longer for the user to continue speaking, &#x60;high&#x60; will respond more quickly. &#x60;auto&#x60; is the default and is equivalent to &#x60;medium&#x60;.  |  [optional] |
+| **threshold** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | Used only for &#x60;server_vad&#x60; mode. Activation threshold for VAD (0.0 to 1.0), this defaults to 0.5. A  higher threshold will require louder audio to activate the model, and  thus might perform better in noisy environments.  |  [optional] |
+| **prefixPaddingMs** | **kotlin.Int** | Used only for &#x60;server_vad&#x60; mode. Amount of audio to include before the VAD detected speech (in  milliseconds). Defaults to 300ms.  |  [optional] |
+| **silenceDurationMs** | **kotlin.Int** | Used only for &#x60;server_vad&#x60; mode. Duration of silence to detect speech stop (in milliseconds). Defaults  to 500ms. With shorter values the model will respond more quickly,  but may jump in on short pauses from the user.  |  [optional] |
+| **createResponse** | **kotlin.Boolean** | Whether or not to automatically generate a response when a VAD stop event occurs. Not available for transcription sessions.  |  [optional] |
+| **interruptResponse** | **kotlin.Boolean** | Whether or not to automatically interrupt any ongoing response with output to the default conversation (i.e. &#x60;conversation&#x60; of &#x60;auto&#x60;) when a VAD start event occurs. Not available for transcription sessions.  |  [optional] |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | server_vad, semantic_vad |
+
+
+<a id="Eagerness"></a>
+## Enum: eagerness
+| Name | Value |
+| ---- | ----- |
+| eagerness | low, medium, high, auto |
+
+
+
diff --git a/lib/docs/RealtimeTranscriptionSessionCreateResponse.md b/lib/docs/RealtimeTranscriptionSessionCreateResponse.md
new file mode 100644
index 00000000..6e4e840f
--- /dev/null
+++ b/lib/docs/RealtimeTranscriptionSessionCreateResponse.md
@@ -0,0 +1,21 @@
+
+# RealtimeTranscriptionSessionCreateResponse
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **clientSecret** | [**RealtimeTranscriptionSessionCreateResponseClientSecret**](RealtimeTranscriptionSessionCreateResponseClientSecret.md) |  |  |
+| **modalities** | [**inline**](#kotlin.collections.List&lt;Modalities&gt;) | The set of modalities the model can respond with. To disable audio, set this to [\&quot;text\&quot;].  |  [optional] |
+| **inputAudioFormat** | **kotlin.String** | The format of input audio. Options are &#x60;pcm16&#x60;, &#x60;g711_ulaw&#x60;, or &#x60;g711_alaw&#x60;.  |  [optional] |
+| **inputAudioTranscription** | [**RealtimeTranscriptionSessionCreateResponseInputAudioTranscription**](RealtimeTranscriptionSessionCreateResponseInputAudioTranscription.md) |  |  [optional] |
+| **turnDetection** | [**RealtimeSessionCreateResponseTurnDetection**](RealtimeSessionCreateResponseTurnDetection.md) |  |  [optional] |
+
+
+<a id="kotlin.collections.List<Modalities>"></a>
+## Enum: modalities
+| Name | Value |
+| ---- | ----- |
+| modalities | text, audio |
+
+
+
diff --git a/lib/docs/RealtimeTranscriptionSessionCreateResponseClientSecret.md b/lib/docs/RealtimeTranscriptionSessionCreateResponseClientSecret.md
new file mode 100644
index 00000000..e45b89ea
--- /dev/null
+++ b/lib/docs/RealtimeTranscriptionSessionCreateResponseClientSecret.md
@@ -0,0 +1,11 @@
+
+# RealtimeTranscriptionSessionCreateResponseClientSecret
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **&#x60;value&#x60;** | **kotlin.String** | Ephemeral key usable in client environments to authenticate connections to the Realtime API. Use this in client-side environments rather than a standard API token, which should only be used server-side.  |  |
+| **expiresAt** | **kotlin.Int** | Timestamp for when the token expires. Currently, all tokens expire after one minute.  |  |
+
+
+
diff --git a/lib/docs/RealtimeSessionCreateRequestInputAudioTranscription.md b/lib/docs/RealtimeTranscriptionSessionCreateResponseInputAudioTranscription.md
similarity index 60%
rename from lib/docs/RealtimeSessionCreateRequestInputAudioTranscription.md
rename to lib/docs/RealtimeTranscriptionSessionCreateResponseInputAudioTranscription.md
index 8b534bd5..b0da473d 100644
--- a/lib/docs/RealtimeSessionCreateRequestInputAudioTranscription.md
+++ b/lib/docs/RealtimeTranscriptionSessionCreateResponseInputAudioTranscription.md
@@ -1,12 +1,19 @@
 
-# RealtimeSessionCreateRequestInputAudioTranscription
+# RealtimeTranscriptionSessionCreateResponseInputAudioTranscription
 
 ## Properties
 | Name | Type | Description | Notes |
 | ------------ | ------------- | ------------- | ------------- |
-| **model** | **kotlin.String** | The model to use for transcription, &#x60;whisper-1&#x60; is the only currently  supported model.  |  [optional] |
+| **model** | [**inline**](#Model) | The model to use for transcription. Can be &#x60;gpt-4o-transcribe&#x60;, &#x60;gpt-4o-mini-transcribe&#x60;, or &#x60;whisper-1&#x60;.  |  [optional] |
 | **language** | **kotlin.String** | The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g. &#x60;en&#x60;) format will improve accuracy and latency.  |  [optional] |
 | **prompt** | **kotlin.String** | An optional text to guide the model&#39;s style or continue a previous audio segment. The [prompt](/docs/guides/speech-to-text#prompting) should match the audio language.  |  [optional] |
 
 
+<a id="Model"></a>
+## Enum: model
+| Name | Value |
+| ---- | ----- |
+| model | gpt-4o-transcribe, gpt-4o-mini-transcribe, whisper-1 |
+
+
 
diff --git a/lib/docs/Reasoning.md b/lib/docs/Reasoning.md
new file mode 100644
index 00000000..ccc0975c
--- /dev/null
+++ b/lib/docs/Reasoning.md
@@ -0,0 +1,18 @@
+
+# Reasoning
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **effort** | [**ReasoningEffort**](ReasoningEffort.md) |  |  [optional] |
+| **generateSummary** | [**inline**](#GenerateSummary) | **computer_use_preview only**  A summary of the reasoning performed by the model. This can be useful for debugging and understanding the model&#39;s reasoning process. One of &#x60;concise&#x60; or &#x60;detailed&#x60;.  |  [optional] |
+
+
+<a id="GenerateSummary"></a>
+## Enum: generate_summary
+| Name | Value |
+| ---- | ----- |
+| generateSummary | concise, detailed |
+
+
+
diff --git a/lib/docs/ReasoningItem.md b/lib/docs/ReasoningItem.md
new file mode 100644
index 00000000..8dcbc3df
--- /dev/null
+++ b/lib/docs/ReasoningItem.md
@@ -0,0 +1,27 @@
+
+# ReasoningItem
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the object. Always &#x60;reasoning&#x60;.  |  |
+| **id** | **kotlin.String** | The unique identifier of the reasoning content.  |  |
+| **summary** | [**kotlin.collections.List&lt;ReasoningItemSummaryInner&gt;**](ReasoningItemSummaryInner.md) | Reasoning text contents.  |  |
+| **status** | [**inline**](#Status) | The status of the item. One of &#x60;in_progress&#x60;, &#x60;completed&#x60;, or &#x60;incomplete&#x60;. Populated when items are returned via API.  |  [optional] |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | reasoning |
+
+
+<a id="Status"></a>
+## Enum: status
+| Name | Value |
+| ---- | ----- |
+| status | in_progress, completed, incomplete |
+
+
+
diff --git a/lib/docs/ReasoningItemSummaryInner.md b/lib/docs/ReasoningItemSummaryInner.md
new file mode 100644
index 00000000..2685aa99
--- /dev/null
+++ b/lib/docs/ReasoningItemSummaryInner.md
@@ -0,0 +1,18 @@
+
+# ReasoningItemSummaryInner
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the object. Always &#x60;summary_text&#x60;.  |  |
+| **text** | **kotlin.String** | A short summary of the reasoning used by the model when generating the response.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | summary_text |
+
+
+
diff --git a/lib/docs/Refusal.md b/lib/docs/Refusal.md
new file mode 100644
index 00000000..c0981812
--- /dev/null
+++ b/lib/docs/Refusal.md
@@ -0,0 +1,18 @@
+
+# Refusal
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the refusal. Always &#x60;refusal&#x60;.  |  |
+| **refusal** | **kotlin.String** | The refusal explanationfrom the model.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | refusal |
+
+
+
diff --git a/lib/docs/Response.md b/lib/docs/Response.md
new file mode 100644
index 00000000..935b7104
--- /dev/null
+++ b/lib/docs/Response.md
@@ -0,0 +1,53 @@
+
+# Response
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **metadata** | **kotlin.collections.Map&lt;kotlin.String, kotlin.String&gt;** | Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard.   Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.  |  |
+| **temperature** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or &#x60;top_p&#x60; but not both.  |  |
+| **topP** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.  We generally recommend altering this or &#x60;temperature&#x60; but not both.  |  |
+| **model** | [**ModelIdsResponses**](ModelIdsResponses.md) |  |  |
+| **instructions** | **kotlin.String** | Inserts a system (or developer) message as the first item in the model&#39;s context.  When using along with &#x60;previous_response_id&#x60;, the instructions from a previous response will be not be carried over to the next response. This makes it simple to swap out system (or developer) messages in new responses.  |  |
+| **tools** | [**kotlin.collections.List&lt;Tool&gt;**](Tool.md) | An array of tools the model may call while generating a response. You  can specify which tool to use by setting the &#x60;tool_choice&#x60; parameter.  The two categories of tools you can provide the model are:  - **Built-in tools**: Tools that are provided by OpenAI that extend the   model&#39;s capabilities, like [web search](/docs/guides/tools-web-search)   or [file search](/docs/guides/tools-file-search). Learn more about   [built-in tools](/docs/guides/tools). - **Function calls (custom tools)**: Functions that are defined by you,   enabling the model to call your own code. Learn more about   [function calling](/docs/guides/function-calling).  |  |
+| **toolChoice** | [**ResponsePropertiesToolChoice**](ResponsePropertiesToolChoice.md) |  |  |
+| **id** | **kotlin.String** | Unique identifier for this Response.  |  |
+| **&#x60;object&#x60;** | [**inline**](#&#x60;Object&#x60;) | The object type of this resource - always set to &#x60;response&#x60;.  |  |
+| **createdAt** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | Unix timestamp (in seconds) of when this Response was created.  |  |
+| **error** | [**ResponseError**](ResponseError.md) |  |  |
+| **incompleteDetails** | [**ResponseAllOfIncompleteDetails**](ResponseAllOfIncompleteDetails.md) |  |  |
+| **output** | [**kotlin.collections.List&lt;OutputItem&gt;**](OutputItem.md) | An array of content items generated by the model.  - The length and order of items in the &#x60;output&#x60; array is dependent   on the model&#39;s response. - Rather than accessing the first item in the &#x60;output&#x60; array and    assuming it&#39;s an &#x60;assistant&#x60; message with the content generated by   the model, you might consider using the &#x60;output_text&#x60; property where   supported in SDKs.  |  |
+| **parallelToolCalls** | **kotlin.Boolean** | Whether to allow the model to run tool calls in parallel.  |  |
+| **user** | **kotlin.String** | A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices#end-user-ids).  |  [optional] |
+| **previousResponseId** | **kotlin.String** | The unique ID of the previous response to the model. Use this to create multi-turn conversations. Learn more about  [conversation state](/docs/guides/conversation-state).  |  [optional] |
+| **reasoning** | [**Reasoning**](Reasoning.md) |  |  [optional] |
+| **maxOutputTokens** | **kotlin.Int** | An upper bound for the number of tokens that can be generated for a response, including visible output tokens and [reasoning tokens](/docs/guides/reasoning).  |  [optional] |
+| **text** | [**ResponsePropertiesText**](ResponsePropertiesText.md) |  |  [optional] |
+| **truncation** | [**inline**](#Truncation) | The truncation strategy to use for the model response. - &#x60;auto&#x60;: If the context of this response and previous ones exceeds   the model&#39;s context window size, the model will truncate the    response to fit the context window by dropping input items in the   middle of the conversation.  - &#x60;disabled&#x60; (default): If a model response will exceed the context window    size for a model, the request will fail with a 400 error.  |  [optional] |
+| **status** | [**inline**](#Status) | The status of the response generation. One of &#x60;completed&#x60;, &#x60;failed&#x60;,  &#x60;in_progress&#x60;, or &#x60;incomplete&#x60;.  |  [optional] |
+| **outputText** | **kotlin.String** | SDK-only convenience property that contains the aggregated text output  from all &#x60;output_text&#x60; items in the &#x60;output&#x60; array, if any are present.  Supported in the Python and JavaScript SDKs.  |  [optional] |
+| **usage** | [**ResponseUsage**](ResponseUsage.md) |  |  [optional] |
+
+
+<a id="`Object`"></a>
+## Enum: object
+| Name | Value |
+| ---- | ----- |
+| &#x60;object&#x60; | response |
+
+
+<a id="Truncation"></a>
+## Enum: truncation
+| Name | Value |
+| ---- | ----- |
+| truncation | auto, disabled |
+
+
+<a id="Status"></a>
+## Enum: status
+| Name | Value |
+| ---- | ----- |
+| status | completed, failed, in_progress, incomplete |
+
+
+
diff --git a/lib/docs/ResponseAllOfIncompleteDetails.md b/lib/docs/ResponseAllOfIncompleteDetails.md
new file mode 100644
index 00000000..226f581f
--- /dev/null
+++ b/lib/docs/ResponseAllOfIncompleteDetails.md
@@ -0,0 +1,17 @@
+
+# ResponseAllOfIncompleteDetails
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **reason** | [**inline**](#Reason) | The reason why the response is incomplete. |  [optional] |
+
+
+<a id="Reason"></a>
+## Enum: reason
+| Name | Value |
+| ---- | ----- |
+| reason | max_output_tokens, content_filter |
+
+
+
diff --git a/lib/docs/ResponseAudioDeltaEvent.md b/lib/docs/ResponseAudioDeltaEvent.md
new file mode 100644
index 00000000..db05abf5
--- /dev/null
+++ b/lib/docs/ResponseAudioDeltaEvent.md
@@ -0,0 +1,18 @@
+
+# ResponseAudioDeltaEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;response.audio.delta&#x60;.  |  |
+| **delta** | **kotlin.String** | A chunk of Base64 encoded response audio bytes.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | response.audio.delta |
+
+
+
diff --git a/lib/docs/ResponseAudioDoneEvent.md b/lib/docs/ResponseAudioDoneEvent.md
new file mode 100644
index 00000000..ea934201
--- /dev/null
+++ b/lib/docs/ResponseAudioDoneEvent.md
@@ -0,0 +1,17 @@
+
+# ResponseAudioDoneEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;response.audio.done&#x60;.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | response.audio.done |
+
+
+
diff --git a/lib/docs/ResponseAudioTranscriptDeltaEvent.md b/lib/docs/ResponseAudioTranscriptDeltaEvent.md
new file mode 100644
index 00000000..a9286678
--- /dev/null
+++ b/lib/docs/ResponseAudioTranscriptDeltaEvent.md
@@ -0,0 +1,18 @@
+
+# ResponseAudioTranscriptDeltaEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;response.audio.transcript.delta&#x60;.  |  |
+| **delta** | **kotlin.String** | The partial transcript of the audio response.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | response.audio.transcript.delta |
+
+
+
diff --git a/lib/docs/ResponseAudioTranscriptDoneEvent.md b/lib/docs/ResponseAudioTranscriptDoneEvent.md
new file mode 100644
index 00000000..42ac34e9
--- /dev/null
+++ b/lib/docs/ResponseAudioTranscriptDoneEvent.md
@@ -0,0 +1,17 @@
+
+# ResponseAudioTranscriptDoneEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;response.audio.transcript.done&#x60;.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | response.audio.transcript.done |
+
+
+
diff --git a/lib/docs/ResponseCodeInterpreterCallCodeDeltaEvent.md b/lib/docs/ResponseCodeInterpreterCallCodeDeltaEvent.md
new file mode 100644
index 00000000..59e35ea2
--- /dev/null
+++ b/lib/docs/ResponseCodeInterpreterCallCodeDeltaEvent.md
@@ -0,0 +1,19 @@
+
+# ResponseCodeInterpreterCallCodeDeltaEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;response.code_interpreter_call.code.delta&#x60;.  |  |
+| **outputIndex** | **kotlin.Int** | The index of the output item that the code interpreter call is in progress.  |  |
+| **delta** | **kotlin.String** | The partial code snippet added by the code interpreter.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | response.code_interpreter_call.code.delta |
+
+
+
diff --git a/lib/docs/ResponseCodeInterpreterCallCodeDoneEvent.md b/lib/docs/ResponseCodeInterpreterCallCodeDoneEvent.md
new file mode 100644
index 00000000..c943370e
--- /dev/null
+++ b/lib/docs/ResponseCodeInterpreterCallCodeDoneEvent.md
@@ -0,0 +1,19 @@
+
+# ResponseCodeInterpreterCallCodeDoneEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;response.code_interpreter_call.code.done&#x60;.  |  |
+| **outputIndex** | **kotlin.Int** | The index of the output item that the code interpreter call is in progress.  |  |
+| **code** | **kotlin.String** | The final code snippet output by the code interpreter.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | response.code_interpreter_call.code.done |
+
+
+
diff --git a/lib/docs/ResponseCodeInterpreterCallCompletedEvent.md b/lib/docs/ResponseCodeInterpreterCallCompletedEvent.md
new file mode 100644
index 00000000..7eab1ad9
--- /dev/null
+++ b/lib/docs/ResponseCodeInterpreterCallCompletedEvent.md
@@ -0,0 +1,19 @@
+
+# ResponseCodeInterpreterCallCompletedEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;response.code_interpreter_call.completed&#x60;.  |  |
+| **outputIndex** | **kotlin.Int** | The index of the output item that the code interpreter call is in progress.  |  |
+| **codeInterpreterCall** | [**CodeInterpreterToolCall**](CodeInterpreterToolCall.md) |  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | response.code_interpreter_call.completed |
+
+
+
diff --git a/lib/docs/ResponseCodeInterpreterCallInProgressEvent.md b/lib/docs/ResponseCodeInterpreterCallInProgressEvent.md
new file mode 100644
index 00000000..ce2151ec
--- /dev/null
+++ b/lib/docs/ResponseCodeInterpreterCallInProgressEvent.md
@@ -0,0 +1,19 @@
+
+# ResponseCodeInterpreterCallInProgressEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;response.code_interpreter_call.in_progress&#x60;.  |  |
+| **outputIndex** | **kotlin.Int** | The index of the output item that the code interpreter call is in progress.  |  |
+| **codeInterpreterCall** | [**CodeInterpreterToolCall**](CodeInterpreterToolCall.md) |  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | response.code_interpreter_call.in_progress |
+
+
+
diff --git a/lib/docs/ResponseCodeInterpreterCallInterpretingEvent.md b/lib/docs/ResponseCodeInterpreterCallInterpretingEvent.md
new file mode 100644
index 00000000..901456d2
--- /dev/null
+++ b/lib/docs/ResponseCodeInterpreterCallInterpretingEvent.md
@@ -0,0 +1,19 @@
+
+# ResponseCodeInterpreterCallInterpretingEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;response.code_interpreter_call.interpreting&#x60;.  |  |
+| **outputIndex** | **kotlin.Int** | The index of the output item that the code interpreter call is in progress.  |  |
+| **codeInterpreterCall** | [**CodeInterpreterToolCall**](CodeInterpreterToolCall.md) |  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | response.code_interpreter_call.interpreting |
+
+
+
diff --git a/lib/docs/ResponseCompletedEvent.md b/lib/docs/ResponseCompletedEvent.md
new file mode 100644
index 00000000..3fd274fe
--- /dev/null
+++ b/lib/docs/ResponseCompletedEvent.md
@@ -0,0 +1,18 @@
+
+# ResponseCompletedEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;response.completed&#x60;.  |  |
+| **response** | [**Response**](Response.md) |  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | response.completed |
+
+
+
diff --git a/lib/docs/ResponseContentPartAddedEvent.md b/lib/docs/ResponseContentPartAddedEvent.md
new file mode 100644
index 00000000..14d4de16
--- /dev/null
+++ b/lib/docs/ResponseContentPartAddedEvent.md
@@ -0,0 +1,21 @@
+
+# ResponseContentPartAddedEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;response.content_part.added&#x60;.  |  |
+| **itemId** | **kotlin.String** | The ID of the output item that the content part was added to.  |  |
+| **outputIndex** | **kotlin.Int** | The index of the output item that the content part was added to.  |  |
+| **contentIndex** | **kotlin.Int** | The index of the content part that was added.  |  |
+| **part** | [**OutputContent**](OutputContent.md) |  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | response.content_part.added |
+
+
+
diff --git a/lib/docs/ResponseContentPartDoneEvent.md b/lib/docs/ResponseContentPartDoneEvent.md
new file mode 100644
index 00000000..87835b62
--- /dev/null
+++ b/lib/docs/ResponseContentPartDoneEvent.md
@@ -0,0 +1,21 @@
+
+# ResponseContentPartDoneEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;response.content_part.done&#x60;.  |  |
+| **itemId** | **kotlin.String** | The ID of the output item that the content part was added to.  |  |
+| **outputIndex** | **kotlin.Int** | The index of the output item that the content part was added to.  |  |
+| **contentIndex** | **kotlin.Int** | The index of the content part that is done.  |  |
+| **part** | [**OutputContent**](OutputContent.md) |  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | response.content_part.done |
+
+
+
diff --git a/lib/docs/ResponseCreatedEvent.md b/lib/docs/ResponseCreatedEvent.md
new file mode 100644
index 00000000..4c763f0a
--- /dev/null
+++ b/lib/docs/ResponseCreatedEvent.md
@@ -0,0 +1,18 @@
+
+# ResponseCreatedEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;response.created&#x60;.  |  |
+| **response** | [**Response**](Response.md) |  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | response.created |
+
+
+
diff --git a/lib/docs/ResponseError.md b/lib/docs/ResponseError.md
new file mode 100644
index 00000000..a5d180ce
--- /dev/null
+++ b/lib/docs/ResponseError.md
@@ -0,0 +1,11 @@
+
+# ResponseError
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **code** | [**ResponseErrorCode**](ResponseErrorCode.md) |  |  |
+| **message** | **kotlin.String** | A human-readable description of the error.  |  |
+
+
+
diff --git a/lib/docs/ResponseErrorCode.md b/lib/docs/ResponseErrorCode.md
new file mode 100644
index 00000000..5bc38c88
--- /dev/null
+++ b/lib/docs/ResponseErrorCode.md
@@ -0,0 +1,44 @@
+
+# ResponseErrorCode
+
+## Enum
+
+
+    * `server_error` (value: `"server_error"`)
+
+    * `rate_limit_exceeded` (value: `"rate_limit_exceeded"`)
+
+    * `invalid_prompt` (value: `"invalid_prompt"`)
+
+    * `vector_store_timeout` (value: `"vector_store_timeout"`)
+
+    * `invalid_image` (value: `"invalid_image"`)
+
+    * `invalid_image_format` (value: `"invalid_image_format"`)
+
+    * `invalid_base64_image` (value: `"invalid_base64_image"`)
+
+    * `invalid_image_url` (value: `"invalid_image_url"`)
+
+    * `image_too_large` (value: `"image_too_large"`)
+
+    * `image_too_small` (value: `"image_too_small"`)
+
+    * `image_parse_error` (value: `"image_parse_error"`)
+
+    * `image_content_policy_violation` (value: `"image_content_policy_violation"`)
+
+    * `invalid_image_mode` (value: `"invalid_image_mode"`)
+
+    * `image_file_too_large` (value: `"image_file_too_large"`)
+
+    * `unsupported_image_media_type` (value: `"unsupported_image_media_type"`)
+
+    * `empty_image_file` (value: `"empty_image_file"`)
+
+    * `failed_to_download_image` (value: `"failed_to_download_image"`)
+
+    * `image_file_not_found` (value: `"image_file_not_found"`)
+
+
+
diff --git a/lib/docs/ResponseErrorEvent.md b/lib/docs/ResponseErrorEvent.md
new file mode 100644
index 00000000..a47ae3c5
--- /dev/null
+++ b/lib/docs/ResponseErrorEvent.md
@@ -0,0 +1,20 @@
+
+# ResponseErrorEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;error&#x60;.  |  |
+| **code** | **kotlin.String** | The error code.  |  |
+| **message** | **kotlin.String** | The error message.  |  |
+| **&#x60;param&#x60;** | **kotlin.String** | The error parameter.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | error |
+
+
+
diff --git a/lib/docs/ResponseFailedEvent.md b/lib/docs/ResponseFailedEvent.md
new file mode 100644
index 00000000..6ad4b06f
--- /dev/null
+++ b/lib/docs/ResponseFailedEvent.md
@@ -0,0 +1,18 @@
+
+# ResponseFailedEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;response.failed&#x60;.  |  |
+| **response** | [**Response**](Response.md) |  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | response.failed |
+
+
+
diff --git a/lib/docs/ResponseFileSearchCallCompletedEvent.md b/lib/docs/ResponseFileSearchCallCompletedEvent.md
new file mode 100644
index 00000000..9bafd849
--- /dev/null
+++ b/lib/docs/ResponseFileSearchCallCompletedEvent.md
@@ -0,0 +1,19 @@
+
+# ResponseFileSearchCallCompletedEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;response.file_search_call.completed&#x60;.  |  |
+| **outputIndex** | **kotlin.Int** | The index of the output item that the file search call is initiated.  |  |
+| **itemId** | **kotlin.String** | The ID of the output item that the file search call is initiated.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | response.file_search_call.completed |
+
+
+
diff --git a/lib/docs/ResponseFileSearchCallInProgressEvent.md b/lib/docs/ResponseFileSearchCallInProgressEvent.md
new file mode 100644
index 00000000..d13fec98
--- /dev/null
+++ b/lib/docs/ResponseFileSearchCallInProgressEvent.md
@@ -0,0 +1,19 @@
+
+# ResponseFileSearchCallInProgressEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;response.file_search_call.in_progress&#x60;.  |  |
+| **outputIndex** | **kotlin.Int** | The index of the output item that the file search call is initiated.  |  |
+| **itemId** | **kotlin.String** | The ID of the output item that the file search call is initiated.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | response.file_search_call.in_progress |
+
+
+
diff --git a/lib/docs/ResponseFileSearchCallSearchingEvent.md b/lib/docs/ResponseFileSearchCallSearchingEvent.md
new file mode 100644
index 00000000..cdb6f786
--- /dev/null
+++ b/lib/docs/ResponseFileSearchCallSearchingEvent.md
@@ -0,0 +1,19 @@
+
+# ResponseFileSearchCallSearchingEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;response.file_search_call.searching&#x60;.  |  |
+| **outputIndex** | **kotlin.Int** | The index of the output item that the file search call is searching.  |  |
+| **itemId** | **kotlin.String** | The ID of the output item that the file search call is initiated.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | response.file_search_call.searching |
+
+
+
diff --git a/lib/docs/ResponseFormatJsonObject.md b/lib/docs/ResponseFormatJsonObject.md
index 9a3ac132..b3e1874f 100644
--- a/lib/docs/ResponseFormatJsonObject.md
+++ b/lib/docs/ResponseFormatJsonObject.md
@@ -4,7 +4,7 @@
 ## Properties
 | Name | Type | Description | Notes |
 | ------------ | ------------- | ------------- | ------------- |
-| **type** | [**inline**](#Type) | The type of response format being defined: &#x60;json_object&#x60; |  |
+| **type** | [**inline**](#Type) | The type of response format being defined. Always &#x60;json_object&#x60;. |  |
 
 
 <a id="Type"></a>
diff --git a/lib/docs/ResponseFormatJsonSchema.md b/lib/docs/ResponseFormatJsonSchema.md
index cb071949..47f2835a 100644
--- a/lib/docs/ResponseFormatJsonSchema.md
+++ b/lib/docs/ResponseFormatJsonSchema.md
@@ -4,8 +4,8 @@
 ## Properties
 | Name | Type | Description | Notes |
 | ------------ | ------------- | ------------- | ------------- |
-| **type** | [**inline**](#Type) | The type of response format being defined: &#x60;json_schema&#x60; |  |
-| **jsonSchema** | [**ResponseFormatJsonSchemaJsonSchema**](ResponseFormatJsonSchemaJsonSchema.md) |  |  |
+| **type** | [**inline**](#Type) | The type of response format being defined. Always &#x60;json_schema&#x60;. |  |
+| **jsonSchema** | [**JSONSchema**](JSONSchema.md) |  |  |
 
 
 <a id="Type"></a>
diff --git a/lib/docs/ResponseFormatText.md b/lib/docs/ResponseFormatText.md
index 75952919..73233408 100644
--- a/lib/docs/ResponseFormatText.md
+++ b/lib/docs/ResponseFormatText.md
@@ -4,7 +4,7 @@
 ## Properties
 | Name | Type | Description | Notes |
 | ------------ | ------------- | ------------- | ------------- |
-| **type** | [**inline**](#Type) | The type of response format being defined: &#x60;text&#x60; |  |
+| **type** | [**inline**](#Type) | The type of response format being defined. Always &#x60;text&#x60;. |  |
 
 
 <a id="Type"></a>
diff --git a/lib/docs/ResponseFunctionCallArgumentsDeltaEvent.md b/lib/docs/ResponseFunctionCallArgumentsDeltaEvent.md
new file mode 100644
index 00000000..b06ecf55
--- /dev/null
+++ b/lib/docs/ResponseFunctionCallArgumentsDeltaEvent.md
@@ -0,0 +1,20 @@
+
+# ResponseFunctionCallArgumentsDeltaEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;response.function_call_arguments.delta&#x60;.  |  |
+| **itemId** | **kotlin.String** | The ID of the output item that the function-call arguments delta is added to.  |  |
+| **outputIndex** | **kotlin.Int** | The index of the output item that the function-call arguments delta is added to.  |  |
+| **delta** | **kotlin.String** | The function-call arguments delta that is added.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | response.function_call_arguments.delta |
+
+
+
diff --git a/lib/docs/ResponseFunctionCallArgumentsDoneEvent.md b/lib/docs/ResponseFunctionCallArgumentsDoneEvent.md
new file mode 100644
index 00000000..8664585f
--- /dev/null
+++ b/lib/docs/ResponseFunctionCallArgumentsDoneEvent.md
@@ -0,0 +1,20 @@
+
+# ResponseFunctionCallArgumentsDoneEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) |  |  |
+| **itemId** | **kotlin.String** | The ID of the item. |  |
+| **outputIndex** | **kotlin.Int** | The index of the output item. |  |
+| **arguments** | **kotlin.String** | The function-call arguments. |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | response.function_call_arguments.done |
+
+
+
diff --git a/lib/docs/ResponseInProgressEvent.md b/lib/docs/ResponseInProgressEvent.md
new file mode 100644
index 00000000..03c851ff
--- /dev/null
+++ b/lib/docs/ResponseInProgressEvent.md
@@ -0,0 +1,18 @@
+
+# ResponseInProgressEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;response.in_progress&#x60;.  |  |
+| **response** | [**Response**](Response.md) |  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | response.in_progress |
+
+
+
diff --git a/lib/docs/ResponseIncompleteEvent.md b/lib/docs/ResponseIncompleteEvent.md
new file mode 100644
index 00000000..19815de5
--- /dev/null
+++ b/lib/docs/ResponseIncompleteEvent.md
@@ -0,0 +1,18 @@
+
+# ResponseIncompleteEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;response.incomplete&#x60;.  |  |
+| **response** | [**Response**](Response.md) |  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | response.incomplete |
+
+
+
diff --git a/lib/docs/ResponseItemList.md b/lib/docs/ResponseItemList.md
new file mode 100644
index 00000000..3eef48c4
--- /dev/null
+++ b/lib/docs/ResponseItemList.md
@@ -0,0 +1,21 @@
+
+# ResponseItemList
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **&#x60;object&#x60;** | [**inline**](#&#x60;Object&#x60;) | The type of object returned, must be &#x60;list&#x60;. |  |
+| **&#x60;data&#x60;** | [**kotlin.collections.List&lt;ItemResource&gt;**](ItemResource.md) | A list of items used to generate this response. |  |
+| **hasMore** | **kotlin.Boolean** | Whether there are more items available. |  |
+| **firstId** | **kotlin.String** | The ID of the first item in the list. |  |
+| **lastId** | **kotlin.String** | The ID of the last item in the list. |  |
+
+
+<a id="`Object`"></a>
+## Enum: object
+| Name | Value |
+| ---- | ----- |
+| &#x60;object&#x60; | list |
+
+
+
diff --git a/lib/docs/ResponseOutputItemAddedEvent.md b/lib/docs/ResponseOutputItemAddedEvent.md
new file mode 100644
index 00000000..f50e7647
--- /dev/null
+++ b/lib/docs/ResponseOutputItemAddedEvent.md
@@ -0,0 +1,19 @@
+
+# ResponseOutputItemAddedEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;response.output_item.added&#x60;.  |  |
+| **outputIndex** | **kotlin.Int** | The index of the output item that was added.  |  |
+| **item** | [**OutputItem**](OutputItem.md) |  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | response.output_item.added |
+
+
+
diff --git a/lib/docs/ResponseOutputItemDoneEvent.md b/lib/docs/ResponseOutputItemDoneEvent.md
new file mode 100644
index 00000000..e5ca0e26
--- /dev/null
+++ b/lib/docs/ResponseOutputItemDoneEvent.md
@@ -0,0 +1,19 @@
+
+# ResponseOutputItemDoneEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;response.output_item.done&#x60;.  |  |
+| **outputIndex** | **kotlin.Int** | The index of the output item that was marked done.  |  |
+| **item** | [**OutputItem**](OutputItem.md) |  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | response.output_item.done |
+
+
+
diff --git a/lib/docs/ResponseProperties.md b/lib/docs/ResponseProperties.md
new file mode 100644
index 00000000..8327e33b
--- /dev/null
+++ b/lib/docs/ResponseProperties.md
@@ -0,0 +1,25 @@
+
+# ResponseProperties
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **previousResponseId** | **kotlin.String** | The unique ID of the previous response to the model. Use this to create multi-turn conversations. Learn more about  [conversation state](/docs/guides/conversation-state).  |  [optional] |
+| **model** | [**ModelIdsResponses**](ModelIdsResponses.md) |  |  [optional] |
+| **reasoning** | [**Reasoning**](Reasoning.md) |  |  [optional] |
+| **maxOutputTokens** | **kotlin.Int** | An upper bound for the number of tokens that can be generated for a response, including visible output tokens and [reasoning tokens](/docs/guides/reasoning).  |  [optional] |
+| **instructions** | **kotlin.String** | Inserts a system (or developer) message as the first item in the model&#39;s context.  When using along with &#x60;previous_response_id&#x60;, the instructions from a previous response will be not be carried over to the next response. This makes it simple to swap out system (or developer) messages in new responses.  |  [optional] |
+| **text** | [**ResponsePropertiesText**](ResponsePropertiesText.md) |  |  [optional] |
+| **tools** | [**kotlin.collections.List&lt;Tool&gt;**](Tool.md) | An array of tools the model may call while generating a response. You  can specify which tool to use by setting the &#x60;tool_choice&#x60; parameter.  The two categories of tools you can provide the model are:  - **Built-in tools**: Tools that are provided by OpenAI that extend the   model&#39;s capabilities, like [web search](/docs/guides/tools-web-search)   or [file search](/docs/guides/tools-file-search). Learn more about   [built-in tools](/docs/guides/tools). - **Function calls (custom tools)**: Functions that are defined by you,   enabling the model to call your own code. Learn more about   [function calling](/docs/guides/function-calling).  |  [optional] |
+| **toolChoice** | [**ResponsePropertiesToolChoice**](ResponsePropertiesToolChoice.md) |  |  [optional] |
+| **truncation** | [**inline**](#Truncation) | The truncation strategy to use for the model response. - &#x60;auto&#x60;: If the context of this response and previous ones exceeds   the model&#39;s context window size, the model will truncate the    response to fit the context window by dropping input items in the   middle of the conversation.  - &#x60;disabled&#x60; (default): If a model response will exceed the context window    size for a model, the request will fail with a 400 error.  |  [optional] |
+
+
+<a id="Truncation"></a>
+## Enum: truncation
+| Name | Value |
+| ---- | ----- |
+| truncation | auto, disabled |
+
+
+
diff --git a/lib/docs/ResponsePropertiesText.md b/lib/docs/ResponsePropertiesText.md
new file mode 100644
index 00000000..c219334b
--- /dev/null
+++ b/lib/docs/ResponsePropertiesText.md
@@ -0,0 +1,10 @@
+
+# ResponsePropertiesText
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **format** | [**TextResponseFormatConfiguration**](TextResponseFormatConfiguration.md) |  |  [optional] |
+
+
+
diff --git a/lib/docs/ResponsePropertiesToolChoice.md b/lib/docs/ResponsePropertiesToolChoice.md
new file mode 100644
index 00000000..6f48915e
--- /dev/null
+++ b/lib/docs/ResponsePropertiesToolChoice.md
@@ -0,0 +1,18 @@
+
+# ResponsePropertiesToolChoice
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of hosted tool the model should to use. Learn more about [built-in tools](/docs/guides/tools).  Allowed values are: - &#x60;file_search&#x60; - &#x60;web_search_preview&#x60; - &#x60;computer_use_preview&#x60;  |  |
+| **name** | **kotlin.String** | The name of the function to call. |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | file_search, web_search_preview, computer_use_preview, web_search_preview_2025_03_11, function |
+
+
+
diff --git a/lib/docs/ResponseRefusalDeltaEvent.md b/lib/docs/ResponseRefusalDeltaEvent.md
new file mode 100644
index 00000000..095f9269
--- /dev/null
+++ b/lib/docs/ResponseRefusalDeltaEvent.md
@@ -0,0 +1,21 @@
+
+# ResponseRefusalDeltaEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;response.refusal.delta&#x60;.  |  |
+| **itemId** | **kotlin.String** | The ID of the output item that the refusal text is added to.  |  |
+| **outputIndex** | **kotlin.Int** | The index of the output item that the refusal text is added to.  |  |
+| **contentIndex** | **kotlin.Int** | The index of the content part that the refusal text is added to.  |  |
+| **delta** | **kotlin.String** | The refusal text that is added.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | response.refusal.delta |
+
+
+
diff --git a/lib/docs/ResponseRefusalDoneEvent.md b/lib/docs/ResponseRefusalDoneEvent.md
new file mode 100644
index 00000000..cec7a0cf
--- /dev/null
+++ b/lib/docs/ResponseRefusalDoneEvent.md
@@ -0,0 +1,21 @@
+
+# ResponseRefusalDoneEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;response.refusal.done&#x60;.  |  |
+| **itemId** | **kotlin.String** | The ID of the output item that the refusal text is finalized.  |  |
+| **outputIndex** | **kotlin.Int** | The index of the output item that the refusal text is finalized.  |  |
+| **contentIndex** | **kotlin.Int** | The index of the content part that the refusal text is finalized.  |  |
+| **refusal** | **kotlin.String** | The refusal text that is finalized.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | response.refusal.done |
+
+
+
diff --git a/lib/docs/ResponseStreamEvent.md b/lib/docs/ResponseStreamEvent.md
new file mode 100644
index 00000000..698b033b
--- /dev/null
+++ b/lib/docs/ResponseStreamEvent.md
@@ -0,0 +1,33 @@
+
+# ResponseStreamEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;response.audio.delta&#x60;.  |  |
+| **delta** | **kotlin.String** | The text delta that was added.  |  |
+| **outputIndex** | **kotlin.Int** | The index of the output item that the web search call is associated with.  |  |
+| **code** | **kotlin.String** | The error code.  |  |
+| **codeInterpreterCall** | [**CodeInterpreterToolCall**](CodeInterpreterToolCall.md) |  |  |
+| **response** | [**Response**](Response.md) |  |  |
+| **itemId** | **kotlin.String** | Unique ID for the output item associated with the web search call.  |  |
+| **contentIndex** | **kotlin.Int** | The index of the content part that the text content is finalized.  |  |
+| **part** | [**OutputContent**](OutputContent.md) |  |  |
+| **message** | **kotlin.String** | The error message.  |  |
+| **&#x60;param&#x60;** | **kotlin.String** | The error parameter.  |  |
+| **arguments** | **kotlin.String** | The function-call arguments. |  |
+| **item** | [**OutputItem**](OutputItem.md) |  |  |
+| **refusal** | **kotlin.String** | The refusal text that is finalized.  |  |
+| **annotationIndex** | **kotlin.Int** | The index of the annotation that was added.  |  |
+| **&#x60;annotation&#x60;** | [**Annotation**](Annotation.md) |  |  |
+| **text** | **kotlin.String** | The text content that is finalized.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | response.audio.delta, response.audio.done, response.audio.transcript.delta, response.audio.transcript.done, response.code_interpreter_call.code.delta, response.code_interpreter_call.code.done, response.code_interpreter_call.completed, response.code_interpreter_call.in_progress, response.code_interpreter_call.interpreting, response.completed, response.content_part.added, response.content_part.done, response.created, error, response.file_search_call.completed, response.file_search_call.in_progress, response.file_search_call.searching, response.function_call_arguments.delta, response.function_call_arguments.done, response.in_progress, response.failed, response.incomplete, response.output_item.added, response.output_item.done, response.refusal.delta, response.refusal.done, response.output_text.annotation.added, response.output_text.delta, response.output_text.done, response.web_search_call.completed, response.web_search_call.in_progress, response.web_search_call.searching |
+
+
+
diff --git a/lib/docs/ResponseTextAnnotationDeltaEvent.md b/lib/docs/ResponseTextAnnotationDeltaEvent.md
new file mode 100644
index 00000000..4951acee
--- /dev/null
+++ b/lib/docs/ResponseTextAnnotationDeltaEvent.md
@@ -0,0 +1,22 @@
+
+# ResponseTextAnnotationDeltaEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;response.output_text.annotation.added&#x60;.  |  |
+| **itemId** | **kotlin.String** | The ID of the output item that the text annotation was added to.  |  |
+| **outputIndex** | **kotlin.Int** | The index of the output item that the text annotation was added to.  |  |
+| **contentIndex** | **kotlin.Int** | The index of the content part that the text annotation was added to.  |  |
+| **annotationIndex** | **kotlin.Int** | The index of the annotation that was added.  |  |
+| **&#x60;annotation&#x60;** | [**Annotation**](Annotation.md) |  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | response.output_text.annotation.added |
+
+
+
diff --git a/lib/docs/ResponseTextDeltaEvent.md b/lib/docs/ResponseTextDeltaEvent.md
new file mode 100644
index 00000000..7700f68b
--- /dev/null
+++ b/lib/docs/ResponseTextDeltaEvent.md
@@ -0,0 +1,21 @@
+
+# ResponseTextDeltaEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;response.output_text.delta&#x60;.  |  |
+| **itemId** | **kotlin.String** | The ID of the output item that the text delta was added to.  |  |
+| **outputIndex** | **kotlin.Int** | The index of the output item that the text delta was added to.  |  |
+| **contentIndex** | **kotlin.Int** | The index of the content part that the text delta was added to.  |  |
+| **delta** | **kotlin.String** | The text delta that was added.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | response.output_text.delta |
+
+
+
diff --git a/lib/docs/ResponseTextDoneEvent.md b/lib/docs/ResponseTextDoneEvent.md
new file mode 100644
index 00000000..24732762
--- /dev/null
+++ b/lib/docs/ResponseTextDoneEvent.md
@@ -0,0 +1,21 @@
+
+# ResponseTextDoneEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;response.output_text.done&#x60;.  |  |
+| **itemId** | **kotlin.String** | The ID of the output item that the text content is finalized.  |  |
+| **outputIndex** | **kotlin.Int** | The index of the output item that the text content is finalized.  |  |
+| **contentIndex** | **kotlin.Int** | The index of the content part that the text content is finalized.  |  |
+| **text** | **kotlin.String** | The text content that is finalized.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | response.output_text.done |
+
+
+
diff --git a/lib/docs/ResponseUsage.md b/lib/docs/ResponseUsage.md
new file mode 100644
index 00000000..579cc002
--- /dev/null
+++ b/lib/docs/ResponseUsage.md
@@ -0,0 +1,14 @@
+
+# ResponseUsage
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **inputTokens** | **kotlin.Int** | The number of input tokens. |  |
+| **inputTokensDetails** | [**ResponseUsageInputTokensDetails**](ResponseUsageInputTokensDetails.md) |  |  |
+| **outputTokens** | **kotlin.Int** | The number of output tokens. |  |
+| **outputTokensDetails** | [**ResponseUsageOutputTokensDetails**](ResponseUsageOutputTokensDetails.md) |  |  |
+| **totalTokens** | **kotlin.Int** | The total number of tokens used. |  |
+
+
+
diff --git a/lib/docs/ResponseUsageInputTokensDetails.md b/lib/docs/ResponseUsageInputTokensDetails.md
new file mode 100644
index 00000000..67dab8dc
--- /dev/null
+++ b/lib/docs/ResponseUsageInputTokensDetails.md
@@ -0,0 +1,10 @@
+
+# ResponseUsageInputTokensDetails
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **cachedTokens** | **kotlin.Int** | The number of tokens that were retrieved from the cache.  [More on prompt caching](/docs/guides/prompt-caching).  |  |
+
+
+
diff --git a/lib/docs/ResponseUsageOutputTokensDetails.md b/lib/docs/ResponseUsageOutputTokensDetails.md
new file mode 100644
index 00000000..309cabb4
--- /dev/null
+++ b/lib/docs/ResponseUsageOutputTokensDetails.md
@@ -0,0 +1,10 @@
+
+# ResponseUsageOutputTokensDetails
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **reasoningTokens** | **kotlin.Int** | The number of reasoning tokens. |  |
+
+
+
diff --git a/lib/docs/ResponseWebSearchCallCompletedEvent.md b/lib/docs/ResponseWebSearchCallCompletedEvent.md
new file mode 100644
index 00000000..8cd51ce0
--- /dev/null
+++ b/lib/docs/ResponseWebSearchCallCompletedEvent.md
@@ -0,0 +1,19 @@
+
+# ResponseWebSearchCallCompletedEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;response.web_search_call.completed&#x60;.  |  |
+| **outputIndex** | **kotlin.Int** | The index of the output item that the web search call is associated with.  |  |
+| **itemId** | **kotlin.String** | Unique ID for the output item associated with the web search call.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | response.web_search_call.completed |
+
+
+
diff --git a/lib/docs/ResponseWebSearchCallInProgressEvent.md b/lib/docs/ResponseWebSearchCallInProgressEvent.md
new file mode 100644
index 00000000..180fb240
--- /dev/null
+++ b/lib/docs/ResponseWebSearchCallInProgressEvent.md
@@ -0,0 +1,19 @@
+
+# ResponseWebSearchCallInProgressEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;response.web_search_call.in_progress&#x60;.  |  |
+| **outputIndex** | **kotlin.Int** | The index of the output item that the web search call is associated with.  |  |
+| **itemId** | **kotlin.String** | Unique ID for the output item associated with the web search call.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | response.web_search_call.in_progress |
+
+
+
diff --git a/lib/docs/ResponseWebSearchCallSearchingEvent.md b/lib/docs/ResponseWebSearchCallSearchingEvent.md
new file mode 100644
index 00000000..f7a72bce
--- /dev/null
+++ b/lib/docs/ResponseWebSearchCallSearchingEvent.md
@@ -0,0 +1,19 @@
+
+# ResponseWebSearchCallSearchingEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;response.web_search_call.searching&#x60;.  |  |
+| **outputIndex** | **kotlin.Int** | The index of the output item that the web search call is associated with.  |  |
+| **itemId** | **kotlin.String** | Unique ID for the output item associated with the web search call.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | response.web_search_call.searching |
+
+
+
diff --git a/lib/docs/ResponsesApi.md b/lib/docs/ResponsesApi.md
new file mode 100644
index 00000000..bd5e6c41
--- /dev/null
+++ b/lib/docs/ResponsesApi.md
@@ -0,0 +1,205 @@
+# ResponsesApi
+
+All URIs are relative to *https://api.openai.com/v1*
+
+| Method | HTTP request | Description |
+| ------------- | ------------- | ------------- |
+| [**createResponse**](ResponsesApi.md#createResponse) | **POST** /responses | Creates a model response. Provide [text](/docs/guides/text) or [image](/docs/guides/images) inputs to generate [text](/docs/guides/text) or [JSON](/docs/guides/structured-outputs) outputs. Have the model call your own [custom code](/docs/guides/function-calling) or use built-in [tools](/docs/guides/tools) like [web search](/docs/guides/tools-web-search) or [file search](/docs/guides/tools-file-search) to use your own data as input for the model&#39;s response.  |
+| [**deleteResponse**](ResponsesApi.md#deleteResponse) | **DELETE** /responses/{response_id} | Deletes a model response with the given ID.  |
+| [**getResponse**](ResponsesApi.md#getResponse) | **GET** /responses/{response_id} | Retrieves a model response with the given ID.  |
+| [**listInputItems**](ResponsesApi.md#listInputItems) | **GET** /responses/{response_id}/input_items | Returns a list of input items for a given response. |
+
+
+<a id="createResponse"></a>
+# **createResponse**
+> Response createResponse(createResponse)
+
+Creates a model response. Provide [text](/docs/guides/text) or [image](/docs/guides/images) inputs to generate [text](/docs/guides/text) or [JSON](/docs/guides/structured-outputs) outputs. Have the model call your own [custom code](/docs/guides/function-calling) or use built-in [tools](/docs/guides/tools) like [web search](/docs/guides/tools-web-search) or [file search](/docs/guides/tools-file-search) to use your own data as input for the model&#39;s response. 
+
+### Example
+```kotlin
+// Import classes:
+//import com.openai.infrastructure.*
+//import com.openai.models.*
+
+val apiInstance = ResponsesApi()
+val createResponse : CreateResponse =  // CreateResponse | 
+try {
+    val result : Response = apiInstance.createResponse(createResponse)
+    println(result)
+} catch (e: ClientException) {
+    println("4xx response calling ResponsesApi#createResponse")
+    e.printStackTrace()
+} catch (e: ServerException) {
+    println("5xx response calling ResponsesApi#createResponse")
+    e.printStackTrace()
+}
+```
+
+### Parameters
+| Name | Type | Description  | Notes |
+| ------------- | ------------- | ------------- | ------------- |
+| **createResponse** | [**CreateResponse**](CreateResponse.md)|  | |
+
+### Return type
+
+[**Response**](Response.md)
+
+### Authorization
+
+
+Configure ApiKeyAuth:
+    ApiClient.accessToken = ""
+
+### HTTP request headers
+
+ - **Content-Type**: application/json
+ - **Accept**: application/json
+
+<a id="deleteResponse"></a>
+# **deleteResponse**
+> deleteResponse(responseId)
+
+Deletes a model response with the given ID. 
+
+### Example
+```kotlin
+// Import classes:
+//import com.openai.infrastructure.*
+//import com.openai.models.*
+
+val apiInstance = ResponsesApi()
+val responseId : kotlin.String = resp_677efb5139a88190b512bc3fef8e535d // kotlin.String | The ID of the response to delete.
+try {
+    apiInstance.deleteResponse(responseId)
+} catch (e: ClientException) {
+    println("4xx response calling ResponsesApi#deleteResponse")
+    e.printStackTrace()
+} catch (e: ServerException) {
+    println("5xx response calling ResponsesApi#deleteResponse")
+    e.printStackTrace()
+}
+```
+
+### Parameters
+| Name | Type | Description  | Notes |
+| ------------- | ------------- | ------------- | ------------- |
+| **responseId** | **kotlin.String**| The ID of the response to delete. | |
+
+### Return type
+
+null (empty response body)
+
+### Authorization
+
+
+Configure ApiKeyAuth:
+    ApiClient.accessToken = ""
+
+### HTTP request headers
+
+ - **Content-Type**: Not defined
+ - **Accept**: application/json
+
+<a id="getResponse"></a>
+# **getResponse**
+> Response getResponse(responseId, include)
+
+Retrieves a model response with the given ID. 
+
+### Example
+```kotlin
+// Import classes:
+//import com.openai.infrastructure.*
+//import com.openai.models.*
+
+val apiInstance = ResponsesApi()
+val responseId : kotlin.String = resp_677efb5139a88190b512bc3fef8e535d // kotlin.String | The ID of the response to retrieve.
+val include : kotlin.collections.List<Includable> =  // kotlin.collections.List<Includable> | Specify additional output data to include in the response. Currently supported values are: - `file_search_call.results`: Include the search results of   the file search tool call. - `message.input_image.image_url`: Include image urls from the input message. - `computer_call_output.output.image_url`: Include image urls from the computer call output. 
+try {
+    val result : Response = apiInstance.getResponse(responseId, include)
+    println(result)
+} catch (e: ClientException) {
+    println("4xx response calling ResponsesApi#getResponse")
+    e.printStackTrace()
+} catch (e: ServerException) {
+    println("5xx response calling ResponsesApi#getResponse")
+    e.printStackTrace()
+}
+```
+
+### Parameters
+| **responseId** | **kotlin.String**| The ID of the response to retrieve. | |
+| Name | Type | Description  | Notes |
+| ------------- | ------------- | ------------- | ------------- |
+| **include** | [**kotlin.collections.List&lt;Includable&gt;**](Includable.md)| Specify additional output data to include in the response. Currently supported values are: - &#x60;file_search_call.results&#x60;: Include the search results of   the file search tool call. - &#x60;message.input_image.image_url&#x60;: Include image urls from the input message. - &#x60;computer_call_output.output.image_url&#x60;: Include image urls from the computer call output.  | [optional] |
+
+### Return type
+
+[**Response**](Response.md)
+
+### Authorization
+
+
+Configure ApiKeyAuth:
+    ApiClient.accessToken = ""
+
+### HTTP request headers
+
+ - **Content-Type**: Not defined
+ - **Accept**: application/json
+
+<a id="listInputItems"></a>
+# **listInputItems**
+> ResponseItemList listInputItems(responseId, limit, order, after, before)
+
+Returns a list of input items for a given response.
+
+### Example
+```kotlin
+// Import classes:
+//import com.openai.infrastructure.*
+//import com.openai.models.*
+
+val apiInstance = ResponsesApi()
+val responseId : kotlin.String = responseId_example // kotlin.String | The ID of the response to retrieve input items for.
+val limit : kotlin.Int = 56 // kotlin.Int | A limit on the number of objects to be returned. Limit can range between 1 and 100, and the default is 20. 
+val order : kotlin.String = order_example // kotlin.String | The order to return the input items in. Default is `asc`. - `asc`: Return the input items in ascending order. - `desc`: Return the input items in descending order. 
+val after : kotlin.String = after_example // kotlin.String | An item ID to list items after, used in pagination. 
+val before : kotlin.String = before_example // kotlin.String | An item ID to list items before, used in pagination. 
+try {
+    val result : ResponseItemList = apiInstance.listInputItems(responseId, limit, order, after, before)
+    println(result)
+} catch (e: ClientException) {
+    println("4xx response calling ResponsesApi#listInputItems")
+    e.printStackTrace()
+} catch (e: ServerException) {
+    println("5xx response calling ResponsesApi#listInputItems")
+    e.printStackTrace()
+}
+```
+
+### Parameters
+| **responseId** | **kotlin.String**| The ID of the response to retrieve input items for. | |
+| **limit** | **kotlin.Int**| A limit on the number of objects to be returned. Limit can range between 1 and 100, and the default is 20.  | [optional] [default to 20] |
+| **order** | **kotlin.String**| The order to return the input items in. Default is &#x60;asc&#x60;. - &#x60;asc&#x60;: Return the input items in ascending order. - &#x60;desc&#x60;: Return the input items in descending order.  | [optional] [enum: asc, desc] |
+| **after** | **kotlin.String**| An item ID to list items after, used in pagination.  | [optional] |
+| Name | Type | Description  | Notes |
+| ------------- | ------------- | ------------- | ------------- |
+| **before** | **kotlin.String**| An item ID to list items before, used in pagination.  | [optional] |
+
+### Return type
+
+[**ResponseItemList**](ResponseItemList.md)
+
+### Authorization
+
+
+Configure ApiKeyAuth:
+    ApiClient.accessToken = ""
+
+### HTTP request headers
+
+ - **Content-Type**: Not defined
+ - **Accept**: application/json
+
diff --git a/lib/docs/RunObject.md b/lib/docs/RunObject.md
index 851e729f..60c5a1ec 100644
--- a/lib/docs/RunObject.md
+++ b/lib/docs/RunObject.md
@@ -28,7 +28,7 @@
 | **truncationStrategy** | [**CreateRunRequestTruncationStrategy**](CreateRunRequestTruncationStrategy.md) |  |  |
 | **toolChoice** | [**CreateRunRequestToolChoice**](CreateRunRequestToolChoice.md) |  |  |
 | **parallelToolCalls** | **kotlin.Boolean** | Whether to enable [parallel function calling](/docs/guides/function-calling#configuring-parallel-function-calling) during tool use. |  |
-| **responseFormat** | [**AssistantObjectResponseFormat**](AssistantObjectResponseFormat.md) |  |  |
+| **responseFormat** | [**AssistantsApiResponseFormatOption**](AssistantsApiResponseFormatOption.md) |  |  |
 | **temperature** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | The sampling temperature used for this run. If not set, defaults to 1. |  [optional] |
 | **topP** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | The nucleus sampling value used for this run. If not set, defaults to 1. |  [optional] |
 
diff --git a/lib/docs/RunStepDetailsToolCallsFileSearchRankingOptionsObject.md b/lib/docs/RunStepDetailsToolCallsFileSearchRankingOptionsObject.md
index 4466e568..71bb8c90 100644
--- a/lib/docs/RunStepDetailsToolCallsFileSearchRankingOptionsObject.md
+++ b/lib/docs/RunStepDetailsToolCallsFileSearchRankingOptionsObject.md
@@ -4,15 +4,8 @@
 ## Properties
 | Name | Type | Description | Notes |
 | ------------ | ------------- | ------------- | ------------- |
-| **ranker** | [**inline**](#Ranker) | The ranker used for the file search. |  |
+| **ranker** | [**FileSearchRanker**](FileSearchRanker.md) |  |  |
 | **scoreThreshold** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | The score threshold for the file search. All values must be a floating point number between 0 and 1. |  |
 
 
-<a id="Ranker"></a>
-## Enum: ranker
-| Name | Value |
-| ---- | ----- |
-| ranker | default_2024_08_21 |
-
-
 
diff --git a/lib/docs/Screenshot.md b/lib/docs/Screenshot.md
new file mode 100644
index 00000000..8d21936e
--- /dev/null
+++ b/lib/docs/Screenshot.md
@@ -0,0 +1,17 @@
+
+# Screenshot
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | Specifies the event type. For a screenshot action, this property is  always set to &#x60;screenshot&#x60;.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | screenshot |
+
+
+
diff --git a/lib/docs/Scroll.md b/lib/docs/Scroll.md
new file mode 100644
index 00000000..234047db
--- /dev/null
+++ b/lib/docs/Scroll.md
@@ -0,0 +1,21 @@
+
+# Scroll
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | Specifies the event type. For a scroll action, this property is  always set to &#x60;scroll&#x60;.  |  |
+| **x** | **kotlin.Int** | The x-coordinate where the scroll occurred.  |  |
+| **y** | **kotlin.Int** | The y-coordinate where the scroll occurred.  |  |
+| **scrollX** | **kotlin.Int** | The horizontal scroll distance.  |  |
+| **scrollY** | **kotlin.Int** | The vertical scroll distance.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | scroll |
+
+
+
diff --git a/lib/docs/StopConfiguration.md b/lib/docs/StopConfiguration.md
new file mode 100644
index 00000000..fdcffa9d
--- /dev/null
+++ b/lib/docs/StopConfiguration.md
@@ -0,0 +1,9 @@
+
+# StopConfiguration
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+
+
+
diff --git a/lib/docs/TextResponseFormatConfiguration.md b/lib/docs/TextResponseFormatConfiguration.md
new file mode 100644
index 00000000..33d3fbff
--- /dev/null
+++ b/lib/docs/TextResponseFormatConfiguration.md
@@ -0,0 +1,21 @@
+
+# TextResponseFormatConfiguration
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of response format being defined. Always &#x60;text&#x60;. |  |
+| **schema** | [**kotlin.collections.Map&lt;kotlin.String, kotlin.Any&gt;**](kotlin.Any.md) | The schema for the response format, described as a JSON Schema object. Learn how to build JSON schemas [here](https://json-schema.org/).  |  |
+| **description** | **kotlin.String** | A description of what the response format is for, used by the model to determine how to respond in the format.  |  [optional] |
+| **name** | **kotlin.String** | The name of the response format. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64.  |  [optional] |
+| **strict** | **kotlin.Boolean** | Whether to enable strict schema adherence when generating the output. If set to true, the model will always follow the exact schema defined in the &#x60;schema&#x60; field. Only a subset of JSON Schema is supported when &#x60;strict&#x60; is &#x60;true&#x60;. To learn more, read the [Structured Outputs guide](/docs/guides/structured-outputs).  |  [optional] |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | text, json_schema, json_object |
+
+
+
diff --git a/lib/docs/TextResponseFormatJsonSchema.md b/lib/docs/TextResponseFormatJsonSchema.md
new file mode 100644
index 00000000..cd675430
--- /dev/null
+++ b/lib/docs/TextResponseFormatJsonSchema.md
@@ -0,0 +1,21 @@
+
+# TextResponseFormatJsonSchema
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of response format being defined. Always &#x60;json_schema&#x60;. |  |
+| **schema** | [**kotlin.collections.Map&lt;kotlin.String, kotlin.Any&gt;**](kotlin.Any.md) | The schema for the response format, described as a JSON Schema object. Learn how to build JSON schemas [here](https://json-schema.org/).  |  |
+| **description** | **kotlin.String** | A description of what the response format is for, used by the model to determine how to respond in the format.  |  [optional] |
+| **name** | **kotlin.String** | The name of the response format. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64.  |  [optional] |
+| **strict** | **kotlin.Boolean** | Whether to enable strict schema adherence when generating the output. If set to true, the model will always follow the exact schema defined in the &#x60;schema&#x60; field. Only a subset of JSON Schema is supported when &#x60;strict&#x60; is &#x60;true&#x60;. To learn more, read the [Structured Outputs guide](/docs/guides/structured-outputs).  |  [optional] |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | json_schema |
+
+
+
diff --git a/lib/docs/Tool.md b/lib/docs/Tool.md
new file mode 100644
index 00000000..b839098c
--- /dev/null
+++ b/lib/docs/Tool.md
@@ -0,0 +1,37 @@
+
+# Tool
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the file search tool. Always &#x60;file_search&#x60;.  |  |
+| **vectorStoreIds** | **kotlin.collections.List&lt;kotlin.String&gt;** | The IDs of the vector stores to search.  |  |
+| **name** | **kotlin.String** | The name of the function to call.  |  |
+| **parameters** | [**kotlin.collections.Map&lt;kotlin.String, kotlin.Any&gt;**](kotlin.Any.md) | A JSON schema object describing the parameters of the function.  |  |
+| **strict** | **kotlin.Boolean** | Whether to enforce strict parameter validation. Default &#x60;true&#x60;.  |  |
+| **displayWidth** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | The width of the computer display.  |  |
+| **displayHeight** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | The height of the computer display.  |  |
+| **environment** | [**inline**](#Environment) | The type of computer environment to control.  |  |
+| **maxNumResults** | **kotlin.Int** | The maximum number of results to return. This number should be between 1  and 50 inclusive.  |  [optional] |
+| **filters** | [**FileSearchToolFilters**](FileSearchToolFilters.md) |  |  [optional] |
+| **rankingOptions** | [**FileSearchToolRankingOptions**](FileSearchToolRankingOptions.md) |  |  [optional] |
+| **description** | **kotlin.String** | A description of the function. Used by the model to determine whether or not to call the function.  |  [optional] |
+| **userLocation** | [**WebSearchToolUserLocation**](WebSearchToolUserLocation.md) |  |  [optional] |
+| **searchContextSize** | [**WebSearchContextSize**](WebSearchContextSize.md) |  |  [optional] |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | file_search, function, computer_use_preview, web_search_preview, web_search_preview_2025_03_11 |
+
+
+<a id="Environment"></a>
+## Enum: environment
+| Name | Value |
+| ---- | ----- |
+| environment | mac, windows, ubuntu, browser |
+
+
+
diff --git a/lib/docs/ToolChoiceFunction.md b/lib/docs/ToolChoiceFunction.md
new file mode 100644
index 00000000..eee3df36
--- /dev/null
+++ b/lib/docs/ToolChoiceFunction.md
@@ -0,0 +1,18 @@
+
+# ToolChoiceFunction
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | For function calling, the type is always &#x60;function&#x60;. |  |
+| **name** | **kotlin.String** | The name of the function to call. |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | function |
+
+
+
diff --git a/lib/docs/ToolChoiceOptions.md b/lib/docs/ToolChoiceOptions.md
new file mode 100644
index 00000000..2f52a549
--- /dev/null
+++ b/lib/docs/ToolChoiceOptions.md
@@ -0,0 +1,14 @@
+
+# ToolChoiceOptions
+
+## Enum
+
+
+    * `none` (value: `"none"`)
+
+    * `auto` (value: `"auto"`)
+
+    * `required` (value: `"required"`)
+
+
+
diff --git a/lib/docs/ToolChoiceTypes.md b/lib/docs/ToolChoiceTypes.md
new file mode 100644
index 00000000..961167df
--- /dev/null
+++ b/lib/docs/ToolChoiceTypes.md
@@ -0,0 +1,17 @@
+
+# ToolChoiceTypes
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of hosted tool the model should to use. Learn more about [built-in tools](/docs/guides/tools).  Allowed values are: - &#x60;file_search&#x60; - &#x60;web_search_preview&#x60; - &#x60;computer_use_preview&#x60;  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | file_search, web_search_preview, computer_use_preview, web_search_preview_2025_03_11 |
+
+
+
diff --git a/lib/docs/TranscriptTextDeltaEvent.md b/lib/docs/TranscriptTextDeltaEvent.md
new file mode 100644
index 00000000..eed4900c
--- /dev/null
+++ b/lib/docs/TranscriptTextDeltaEvent.md
@@ -0,0 +1,19 @@
+
+# TranscriptTextDeltaEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;transcript.text.delta&#x60;.  |  |
+| **delta** | **kotlin.String** | The text delta that was additionally transcribed.  |  |
+| **logprobs** | [**kotlin.collections.List&lt;LogProbProperties&gt;**](LogProbProperties.md) | The log probabilities of the delta. Only included if you [create a transcription](/docs/api-reference/audio/create-transcription) with the &#x60;include[]&#x60; parameter set to &#x60;logprobs&#x60;.  |  [optional] |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | transcript.text.delta |
+
+
+
diff --git a/lib/docs/TranscriptTextDoneEvent.md b/lib/docs/TranscriptTextDoneEvent.md
new file mode 100644
index 00000000..e1167b62
--- /dev/null
+++ b/lib/docs/TranscriptTextDoneEvent.md
@@ -0,0 +1,19 @@
+
+# TranscriptTextDoneEvent
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the event. Always &#x60;transcript.text.done&#x60;.  |  |
+| **text** | **kotlin.String** | The text that was transcribed.  |  |
+| **logprobs** | [**kotlin.collections.List&lt;LogProbProperties&gt;**](LogProbProperties.md) | The log probabilities of the individual tokens in the transcription. Only included if you [create a transcription](/docs/api-reference/audio/create-transcription) with the &#x60;include[]&#x60; parameter set to &#x60;logprobs&#x60;.  |  [optional] |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | transcript.text.done |
+
+
+
diff --git a/lib/docs/TranscriptionInclude.md b/lib/docs/TranscriptionInclude.md
new file mode 100644
index 00000000..8f336a49
--- /dev/null
+++ b/lib/docs/TranscriptionInclude.md
@@ -0,0 +1,10 @@
+
+# TranscriptionInclude
+
+## Enum
+
+
+    * `logprobs` (value: `"logprobs"`)
+
+
+
diff --git a/lib/docs/Type.md b/lib/docs/Type.md
new file mode 100644
index 00000000..c68e84ba
--- /dev/null
+++ b/lib/docs/Type.md
@@ -0,0 +1,18 @@
+
+# Type
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | Specifies the event type. For a type action, this property is  always set to &#x60;type&#x60;.  |  |
+| **text** | **kotlin.String** | The text to type.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | type |
+
+
+
diff --git a/lib/docs/UpdateChatCompletionRequest.md b/lib/docs/UpdateChatCompletionRequest.md
new file mode 100644
index 00000000..9202c202
--- /dev/null
+++ b/lib/docs/UpdateChatCompletionRequest.md
@@ -0,0 +1,10 @@
+
+# UpdateChatCompletionRequest
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **metadata** | **kotlin.collections.Map&lt;kotlin.String, kotlin.String&gt;** | Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard.   Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.  |  |
+
+
+
diff --git a/lib/docs/UpdateVectorStoreFileAttributesRequest.md b/lib/docs/UpdateVectorStoreFileAttributesRequest.md
new file mode 100644
index 00000000..318d5e2f
--- /dev/null
+++ b/lib/docs/UpdateVectorStoreFileAttributesRequest.md
@@ -0,0 +1,10 @@
+
+# UpdateVectorStoreFileAttributesRequest
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **attributes** | [**kotlin.collections.Map&lt;kotlin.String, VectorStoreFileAttributesValue&gt;**](VectorStoreFileAttributesValue.md) | Set of 16 key-value pairs that can be attached to an object. This can be  useful for storing additional information about the object in a structured  format, and querying for objects via API or the dashboard. Keys are strings  with a maximum length of 64 characters. Values are strings with a maximum  length of 512 characters, booleans, or numbers.  |  |
+
+
+
diff --git a/lib/docs/Upload.md b/lib/docs/Upload.md
index 2d198c83..6e9749e2 100644
--- a/lib/docs/Upload.md
+++ b/lib/docs/Upload.md
@@ -10,7 +10,7 @@
 | **bytes** | **kotlin.Int** | The intended number of bytes to be uploaded. |  |
 | **purpose** | **kotlin.String** | The intended purpose of the file. [Please refer here](/docs/api-reference/files/object#files/object-purpose) for acceptable values. |  |
 | **status** | [**inline**](#Status) | The status of the Upload. |  |
-| **expiresAt** | **kotlin.Int** | The Unix timestamp (in seconds) for when the Upload was created. |  |
+| **expiresAt** | **kotlin.Int** | The Unix timestamp (in seconds) for when the Upload will expire. |  |
 | **&#x60;object&#x60;** | [**inline**](#&#x60;Object&#x60;) | The object type, which is always \&quot;upload\&quot;. |  [optional] |
 | **file** | [**UploadFile**](UploadFile.md) |  |  [optional] |
 
diff --git a/lib/docs/UploadFile.md b/lib/docs/UploadFile.md
index 2143b66a..c453c0b7 100644
--- a/lib/docs/UploadFile.md
+++ b/lib/docs/UploadFile.md
@@ -11,6 +11,7 @@
 | **&#x60;object&#x60;** | [**inline**](#&#x60;Object&#x60;) | The object type, which is always &#x60;file&#x60;. |  |
 | **purpose** | [**inline**](#Purpose) | The intended purpose of the file. Supported values are &#x60;assistants&#x60;, &#x60;assistants_output&#x60;, &#x60;batch&#x60;, &#x60;batch_output&#x60;, &#x60;fine-tune&#x60;, &#x60;fine-tune-results&#x60; and &#x60;vision&#x60;. |  |
 | **status** | [**inline**](#Status) | Deprecated. The current status of the file, which can be either &#x60;uploaded&#x60;, &#x60;processed&#x60;, or &#x60;error&#x60;. |  |
+| **expiresAt** | **kotlin.Int** | The Unix timestamp (in seconds) for when the file will expire. |  [optional] |
 | **statusDetails** | **kotlin.String** | Deprecated. For details on why a fine-tuning training file failed validation, see the &#x60;error&#x60; field on &#x60;fine_tuning.job&#x60;. |  [optional] |
 
 
diff --git a/lib/docs/UploadsApi.md b/lib/docs/UploadsApi.md
index 8ce0a234..9c1eac2a 100644
--- a/lib/docs/UploadsApi.md
+++ b/lib/docs/UploadsApi.md
@@ -7,7 +7,7 @@ All URIs are relative to *https://api.openai.com/v1*
 | [**addUploadPart**](UploadsApi.md#addUploadPart) | **POST** /uploads/{upload_id}/parts | Adds a [Part](/docs/api-reference/uploads/part-object) to an [Upload](/docs/api-reference/uploads/object) object. A Part represents a chunk of bytes from the file you are trying to upload.   Each Part can be at most 64 MB, and you can add Parts until you hit the Upload maximum of 8 GB.  It is possible to add multiple Parts in parallel. You can decide the intended order of the Parts when you [complete the Upload](/docs/api-reference/uploads/complete).  |
 | [**cancelUpload**](UploadsApi.md#cancelUpload) | **POST** /uploads/{upload_id}/cancel | Cancels the Upload. No Parts may be added after an Upload is cancelled.  |
 | [**completeUpload**](UploadsApi.md#completeUpload) | **POST** /uploads/{upload_id}/complete | Completes the [Upload](/docs/api-reference/uploads/object).   Within the returned Upload object, there is a nested [File](/docs/api-reference/files/object) object that is ready to use in the rest of the platform.  You can specify the order of the Parts by passing in an ordered list of the Part IDs.  The number of bytes uploaded upon completion must match the number of bytes initially specified when creating the Upload object. No Parts may be added after an Upload is completed.  |
-| [**createUpload**](UploadsApi.md#createUpload) | **POST** /uploads | Creates an intermediate [Upload](/docs/api-reference/uploads/object) object that you can add [Parts](/docs/api-reference/uploads/part-object) to. Currently, an Upload can accept at most 8 GB in total and expires after an hour after you create it.  Once you complete the Upload, we will create a [File](/docs/api-reference/files/object) object that contains all the parts you uploaded. This File is usable in the rest of our platform as a regular File object.  For certain &#x60;purpose&#x60;s, the correct &#x60;mime_type&#x60; must be specified. Please refer to documentation for the supported MIME types for your use case: - [Assistants](/docs/assistants/tools/file-search#supported-files)  For guidance on the proper filename extensions for each purpose, please follow the documentation on [creating a File](/docs/api-reference/files/create).  |
+| [**createUpload**](UploadsApi.md#createUpload) | **POST** /uploads | Creates an intermediate [Upload](/docs/api-reference/uploads/object) object that you can add [Parts](/docs/api-reference/uploads/part-object) to. Currently, an Upload can accept at most 8 GB in total and expires after an hour after you create it.  Once you complete the Upload, we will create a [File](/docs/api-reference/files/object) object that contains all the parts you uploaded. This File is usable in the rest of our platform as a regular File object.  For certain &#x60;purpose&#x60; values, the correct &#x60;mime_type&#x60; must be specified.  Please refer to documentation for the  [supported MIME types for your use case](/docs/assistants/tools/file-search#supported-files).  For guidance on the proper filename extensions for each purpose, please follow the documentation on [creating a File](/docs/api-reference/files/create).  |
 
 
 <a id="addUploadPart"></a>
@@ -156,7 +156,7 @@ Configure ApiKeyAuth:
 # **createUpload**
 > Upload createUpload(createUploadRequest)
 
-Creates an intermediate [Upload](/docs/api-reference/uploads/object) object that you can add [Parts](/docs/api-reference/uploads/part-object) to. Currently, an Upload can accept at most 8 GB in total and expires after an hour after you create it.  Once you complete the Upload, we will create a [File](/docs/api-reference/files/object) object that contains all the parts you uploaded. This File is usable in the rest of our platform as a regular File object.  For certain &#x60;purpose&#x60;s, the correct &#x60;mime_type&#x60; must be specified. Please refer to documentation for the supported MIME types for your use case: - [Assistants](/docs/assistants/tools/file-search#supported-files)  For guidance on the proper filename extensions for each purpose, please follow the documentation on [creating a File](/docs/api-reference/files/create). 
+Creates an intermediate [Upload](/docs/api-reference/uploads/object) object that you can add [Parts](/docs/api-reference/uploads/part-object) to. Currently, an Upload can accept at most 8 GB in total and expires after an hour after you create it.  Once you complete the Upload, we will create a [File](/docs/api-reference/files/object) object that contains all the parts you uploaded. This File is usable in the rest of our platform as a regular File object.  For certain &#x60;purpose&#x60; values, the correct &#x60;mime_type&#x60; must be specified.  Please refer to documentation for the  [supported MIME types for your use case](/docs/assistants/tools/file-search#supported-files).  For guidance on the proper filename extensions for each purpose, please follow the documentation on [creating a File](/docs/api-reference/files/create). 
 
 ### Example
 ```kotlin
diff --git a/lib/docs/UrlCitation.md b/lib/docs/UrlCitation.md
new file mode 100644
index 00000000..2ec0ff3a
--- /dev/null
+++ b/lib/docs/UrlCitation.md
@@ -0,0 +1,21 @@
+
+# UrlCitation
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **url** | **kotlin.String** | The URL of the web resource.  |  |
+| **title** | **kotlin.String** | The title of the web resource.  |  |
+| **type** | [**inline**](#Type) | The type of the URL citation. Always &#x60;url_citation&#x60;.  |  |
+| **startIndex** | **kotlin.Int** | The index of the first character of the URL citation in the message.  |  |
+| **endIndex** | **kotlin.Int** | The index of the last character of the URL citation in the message.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | url_citation |
+
+
+
diff --git a/lib/docs/VectorStoreFileAttributesValue.md b/lib/docs/VectorStoreFileAttributesValue.md
new file mode 100644
index 00000000..4f083bd0
--- /dev/null
+++ b/lib/docs/VectorStoreFileAttributesValue.md
@@ -0,0 +1,9 @@
+
+# VectorStoreFileAttributesValue
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+
+
+
diff --git a/lib/docs/VectorStoreFileContentResponse.md b/lib/docs/VectorStoreFileContentResponse.md
new file mode 100644
index 00000000..e483a822
--- /dev/null
+++ b/lib/docs/VectorStoreFileContentResponse.md
@@ -0,0 +1,20 @@
+
+# VectorStoreFileContentResponse
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **&#x60;object&#x60;** | [**inline**](#&#x60;Object&#x60;) | The object type, which is always &#x60;vector_store.file_content.page&#x60; |  |
+| **&#x60;data&#x60;** | [**kotlin.collections.List&lt;VectorStoreFileContentResponseDataInner&gt;**](VectorStoreFileContentResponseDataInner.md) | Parsed content of the file. |  |
+| **hasMore** | **kotlin.Boolean** | Indicates if there are more content pages to fetch. |  |
+| **nextPage** | **kotlin.String** | The token for the next page, if any. |  |
+
+
+<a id="`Object`"></a>
+## Enum: object
+| Name | Value |
+| ---- | ----- |
+| &#x60;object&#x60; | vector_store.file_content.page |
+
+
+
diff --git a/lib/docs/VectorStoreFileContentResponseDataInner.md b/lib/docs/VectorStoreFileContentResponseDataInner.md
new file mode 100644
index 00000000..4524c105
--- /dev/null
+++ b/lib/docs/VectorStoreFileContentResponseDataInner.md
@@ -0,0 +1,11 @@
+
+# VectorStoreFileContentResponseDataInner
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | **kotlin.String** | The content type (currently only &#x60;\&quot;text\&quot;&#x60;) |  [optional] |
+| **text** | **kotlin.String** | The text content |  [optional] |
+
+
+
diff --git a/lib/docs/VectorStoreFileObject.md b/lib/docs/VectorStoreFileObject.md
index 72140590..a1ed4c56 100644
--- a/lib/docs/VectorStoreFileObject.md
+++ b/lib/docs/VectorStoreFileObject.md
@@ -12,6 +12,7 @@
 | **status** | [**inline**](#Status) | The status of the vector store file, which can be either &#x60;in_progress&#x60;, &#x60;completed&#x60;, &#x60;cancelled&#x60;, or &#x60;failed&#x60;. The status &#x60;completed&#x60; indicates that the vector store file is ready for use. |  |
 | **lastError** | [**VectorStoreFileObjectLastError**](VectorStoreFileObjectLastError.md) |  |  |
 | **chunkingStrategy** | [**VectorStoreFileObjectChunkingStrategy**](VectorStoreFileObjectChunkingStrategy.md) |  |  [optional] |
+| **attributes** | [**kotlin.collections.Map&lt;kotlin.String, VectorStoreFileAttributesValue&gt;**](VectorStoreFileAttributesValue.md) | Set of 16 key-value pairs that can be attached to an object. This can be  useful for storing additional information about the object in a structured  format, and querying for objects via API or the dashboard. Keys are strings  with a maximum length of 64 characters. Values are strings with a maximum  length of 512 characters, booleans, or numbers.  |  [optional] |
 
 
 <a id="`Object`"></a>
diff --git a/lib/docs/VectorStoreSearchRequest.md b/lib/docs/VectorStoreSearchRequest.md
new file mode 100644
index 00000000..f1eba4e8
--- /dev/null
+++ b/lib/docs/VectorStoreSearchRequest.md
@@ -0,0 +1,14 @@
+
+# VectorStoreSearchRequest
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **query** | [**VectorStoreSearchRequestQuery**](VectorStoreSearchRequestQuery.md) |  |  |
+| **rewriteQuery** | **kotlin.Boolean** | Whether to rewrite the natural language query for vector search. |  [optional] |
+| **maxNumResults** | **kotlin.Int** | The maximum number of results to return. This number should be between 1 and 50 inclusive. |  [optional] |
+| **filters** | [**FileSearchToolFilters**](FileSearchToolFilters.md) |  |  [optional] |
+| **rankingOptions** | [**VectorStoreSearchRequestRankingOptions**](VectorStoreSearchRequestRankingOptions.md) |  |  [optional] |
+
+
+
diff --git a/lib/docs/VectorStoreSearchRequestQuery.md b/lib/docs/VectorStoreSearchRequestQuery.md
new file mode 100644
index 00000000..bf798343
--- /dev/null
+++ b/lib/docs/VectorStoreSearchRequestQuery.md
@@ -0,0 +1,9 @@
+
+# VectorStoreSearchRequestQuery
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+
+
+
diff --git a/lib/docs/VectorStoreSearchRequestRankingOptions.md b/lib/docs/VectorStoreSearchRequestRankingOptions.md
new file mode 100644
index 00000000..d65b6765
--- /dev/null
+++ b/lib/docs/VectorStoreSearchRequestRankingOptions.md
@@ -0,0 +1,18 @@
+
+# VectorStoreSearchRequestRankingOptions
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **ranker** | [**inline**](#Ranker) |  |  [optional] |
+| **scoreThreshold** | [**java.math.BigDecimal**](java.math.BigDecimal.md) |  |  [optional] |
+
+
+<a id="Ranker"></a>
+## Enum: ranker
+| Name | Value |
+| ---- | ----- |
+| ranker | auto, default-2024-11-15 |
+
+
+
diff --git a/lib/docs/VectorStoreSearchResultContentObject.md b/lib/docs/VectorStoreSearchResultContentObject.md
new file mode 100644
index 00000000..a87587d8
--- /dev/null
+++ b/lib/docs/VectorStoreSearchResultContentObject.md
@@ -0,0 +1,18 @@
+
+# VectorStoreSearchResultContentObject
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of content. |  |
+| **text** | **kotlin.String** | The text content returned from search. |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | text |
+
+
+
diff --git a/lib/docs/VectorStoreSearchResultItem.md b/lib/docs/VectorStoreSearchResultItem.md
new file mode 100644
index 00000000..2f5d2504
--- /dev/null
+++ b/lib/docs/VectorStoreSearchResultItem.md
@@ -0,0 +1,14 @@
+
+# VectorStoreSearchResultItem
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **fileId** | **kotlin.String** | The ID of the vector store file. |  |
+| **filename** | **kotlin.String** | The name of the vector store file. |  |
+| **score** | [**java.math.BigDecimal**](java.math.BigDecimal.md) | The similarity score for the result. |  |
+| **attributes** | [**kotlin.collections.Map&lt;kotlin.String, VectorStoreFileAttributesValue&gt;**](VectorStoreFileAttributesValue.md) | Set of 16 key-value pairs that can be attached to an object. This can be  useful for storing additional information about the object in a structured  format, and querying for objects via API or the dashboard. Keys are strings  with a maximum length of 64 characters. Values are strings with a maximum  length of 512 characters, booleans, or numbers.  |  |
+| **content** | [**kotlin.collections.List&lt;VectorStoreSearchResultContentObject&gt;**](VectorStoreSearchResultContentObject.md) | Content chunks from the file. |  |
+
+
+
diff --git a/lib/docs/VectorStoreSearchResultsPage.md b/lib/docs/VectorStoreSearchResultsPage.md
new file mode 100644
index 00000000..75b0e369
--- /dev/null
+++ b/lib/docs/VectorStoreSearchResultsPage.md
@@ -0,0 +1,21 @@
+
+# VectorStoreSearchResultsPage
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **&#x60;object&#x60;** | [**inline**](#&#x60;Object&#x60;) | The object type, which is always &#x60;vector_store.search_results.page&#x60; |  |
+| **searchQuery** | **kotlin.collections.List&lt;kotlin.String&gt;** |  |  |
+| **&#x60;data&#x60;** | [**kotlin.collections.List&lt;VectorStoreSearchResultItem&gt;**](VectorStoreSearchResultItem.md) | The list of search result items. |  |
+| **hasMore** | **kotlin.Boolean** | Indicates if there are more results to fetch. |  |
+| **nextPage** | **kotlin.String** | The token for the next page, if any. |  |
+
+
+<a id="`Object`"></a>
+## Enum: object
+| Name | Value |
+| ---- | ----- |
+| &#x60;object&#x60; | vector_store.search_results.page |
+
+
+
diff --git a/lib/docs/VectorStoresApi.md b/lib/docs/VectorStoresApi.md
index efd9ed20..6055b754 100644
--- a/lib/docs/VectorStoresApi.md
+++ b/lib/docs/VectorStoresApi.md
@@ -17,6 +17,9 @@ All URIs are relative to *https://api.openai.com/v1*
 | [**listVectorStoreFiles**](VectorStoresApi.md#listVectorStoreFiles) | **GET** /vector_stores/{vector_store_id}/files | Returns a list of vector store files. |
 | [**listVectorStores**](VectorStoresApi.md#listVectorStores) | **GET** /vector_stores | Returns a list of vector stores. |
 | [**modifyVectorStore**](VectorStoresApi.md#modifyVectorStore) | **POST** /vector_stores/{vector_store_id} | Modifies a vector store. |
+| [**retrieveVectorStoreFileContent**](VectorStoresApi.md#retrieveVectorStoreFileContent) | **GET** /vector_stores/{vector_store_id}/files/{file_id}/content | Retrieve the parsed contents of a vector store file. |
+| [**searchVectorStore**](VectorStoresApi.md#searchVectorStore) | **POST** /vector_stores/{vector_store_id}/search | Search a vector store for relevant chunks based on a query and file attributes filter. |
+| [**updateVectorStoreFileAttributes**](VectorStoresApi.md#updateVectorStoreFileAttributes) | **POST** /vector_stores/{vector_store_id}/files/{file_id} | Update attributes on a vector store file. |
 
 
 <a id="cancelVectorStoreFileBatch"></a>
@@ -651,6 +654,152 @@ try {
 ### Authorization
 
 
+Configure ApiKeyAuth:
+    ApiClient.accessToken = ""
+
+### HTTP request headers
+
+ - **Content-Type**: application/json
+ - **Accept**: application/json
+
+<a id="retrieveVectorStoreFileContent"></a>
+# **retrieveVectorStoreFileContent**
+> VectorStoreFileContentResponse retrieveVectorStoreFileContent(vectorStoreId, fileId)
+
+Retrieve the parsed contents of a vector store file.
+
+### Example
+```kotlin
+// Import classes:
+//import com.openai.infrastructure.*
+//import com.openai.models.*
+
+val apiInstance = VectorStoresApi()
+val vectorStoreId : kotlin.String = vs_abc123 // kotlin.String | The ID of the vector store.
+val fileId : kotlin.String = file-abc123 // kotlin.String | The ID of the file within the vector store.
+try {
+    val result : VectorStoreFileContentResponse = apiInstance.retrieveVectorStoreFileContent(vectorStoreId, fileId)
+    println(result)
+} catch (e: ClientException) {
+    println("4xx response calling VectorStoresApi#retrieveVectorStoreFileContent")
+    e.printStackTrace()
+} catch (e: ServerException) {
+    println("5xx response calling VectorStoresApi#retrieveVectorStoreFileContent")
+    e.printStackTrace()
+}
+```
+
+### Parameters
+| **vectorStoreId** | **kotlin.String**| The ID of the vector store. | |
+| Name | Type | Description  | Notes |
+| ------------- | ------------- | ------------- | ------------- |
+| **fileId** | **kotlin.String**| The ID of the file within the vector store. | |
+
+### Return type
+
+[**VectorStoreFileContentResponse**](VectorStoreFileContentResponse.md)
+
+### Authorization
+
+
+Configure ApiKeyAuth:
+    ApiClient.accessToken = ""
+
+### HTTP request headers
+
+ - **Content-Type**: Not defined
+ - **Accept**: application/json
+
+<a id="searchVectorStore"></a>
+# **searchVectorStore**
+> VectorStoreSearchResultsPage searchVectorStore(vectorStoreId, vectorStoreSearchRequest)
+
+Search a vector store for relevant chunks based on a query and file attributes filter.
+
+### Example
+```kotlin
+// Import classes:
+//import com.openai.infrastructure.*
+//import com.openai.models.*
+
+val apiInstance = VectorStoresApi()
+val vectorStoreId : kotlin.String = vs_abc123 // kotlin.String | The ID of the vector store to search.
+val vectorStoreSearchRequest : VectorStoreSearchRequest =  // VectorStoreSearchRequest | 
+try {
+    val result : VectorStoreSearchResultsPage = apiInstance.searchVectorStore(vectorStoreId, vectorStoreSearchRequest)
+    println(result)
+} catch (e: ClientException) {
+    println("4xx response calling VectorStoresApi#searchVectorStore")
+    e.printStackTrace()
+} catch (e: ServerException) {
+    println("5xx response calling VectorStoresApi#searchVectorStore")
+    e.printStackTrace()
+}
+```
+
+### Parameters
+| **vectorStoreId** | **kotlin.String**| The ID of the vector store to search. | |
+| Name | Type | Description  | Notes |
+| ------------- | ------------- | ------------- | ------------- |
+| **vectorStoreSearchRequest** | [**VectorStoreSearchRequest**](VectorStoreSearchRequest.md)|  | |
+
+### Return type
+
+[**VectorStoreSearchResultsPage**](VectorStoreSearchResultsPage.md)
+
+### Authorization
+
+
+Configure ApiKeyAuth:
+    ApiClient.accessToken = ""
+
+### HTTP request headers
+
+ - **Content-Type**: application/json
+ - **Accept**: application/json
+
+<a id="updateVectorStoreFileAttributes"></a>
+# **updateVectorStoreFileAttributes**
+> VectorStoreFileObject updateVectorStoreFileAttributes(vectorStoreId, fileId, updateVectorStoreFileAttributesRequest)
+
+Update attributes on a vector store file.
+
+### Example
+```kotlin
+// Import classes:
+//import com.openai.infrastructure.*
+//import com.openai.models.*
+
+val apiInstance = VectorStoresApi()
+val vectorStoreId : kotlin.String = vs_abc123 // kotlin.String | The ID of the vector store the file belongs to.
+val fileId : kotlin.String = file-abc123 // kotlin.String | The ID of the file to update attributes.
+val updateVectorStoreFileAttributesRequest : UpdateVectorStoreFileAttributesRequest =  // UpdateVectorStoreFileAttributesRequest | 
+try {
+    val result : VectorStoreFileObject = apiInstance.updateVectorStoreFileAttributes(vectorStoreId, fileId, updateVectorStoreFileAttributesRequest)
+    println(result)
+} catch (e: ClientException) {
+    println("4xx response calling VectorStoresApi#updateVectorStoreFileAttributes")
+    e.printStackTrace()
+} catch (e: ServerException) {
+    println("5xx response calling VectorStoresApi#updateVectorStoreFileAttributes")
+    e.printStackTrace()
+}
+```
+
+### Parameters
+| **vectorStoreId** | **kotlin.String**| The ID of the vector store the file belongs to. | |
+| **fileId** | **kotlin.String**| The ID of the file to update attributes. | |
+| Name | Type | Description  | Notes |
+| ------------- | ------------- | ------------- | ------------- |
+| **updateVectorStoreFileAttributesRequest** | [**UpdateVectorStoreFileAttributesRequest**](UpdateVectorStoreFileAttributesRequest.md)|  | |
+
+### Return type
+
+[**VectorStoreFileObject**](VectorStoreFileObject.md)
+
+### Authorization
+
+
 Configure ApiKeyAuth:
     ApiClient.accessToken = ""
 
diff --git a/lib/docs/VoiceIdsShared.md b/lib/docs/VoiceIdsShared.md
new file mode 100644
index 00000000..e774f5a5
--- /dev/null
+++ b/lib/docs/VoiceIdsShared.md
@@ -0,0 +1,9 @@
+
+# VoiceIdsShared
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+
+
+
diff --git a/lib/docs/Wait.md b/lib/docs/Wait.md
new file mode 100644
index 00000000..2ee5e080
--- /dev/null
+++ b/lib/docs/Wait.md
@@ -0,0 +1,17 @@
+
+# Wait
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | Specifies the event type. For a wait action, this property is  always set to &#x60;wait&#x60;.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | wait |
+
+
+
diff --git a/lib/docs/WebSearch.md b/lib/docs/WebSearch.md
new file mode 100644
index 00000000..5bc3fbb9
--- /dev/null
+++ b/lib/docs/WebSearch.md
@@ -0,0 +1,11 @@
+
+# WebSearch
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **userLocation** | [**WebSearchUserLocation**](WebSearchUserLocation.md) |  |  [optional] |
+| **searchContextSize** | [**WebSearchContextSize**](WebSearchContextSize.md) |  |  [optional] |
+
+
+
diff --git a/lib/docs/WebSearchContextSize.md b/lib/docs/WebSearchContextSize.md
new file mode 100644
index 00000000..a8b522cf
--- /dev/null
+++ b/lib/docs/WebSearchContextSize.md
@@ -0,0 +1,14 @@
+
+# WebSearchContextSize
+
+## Enum
+
+
+    * `low` (value: `"low"`)
+
+    * `medium` (value: `"medium"`)
+
+    * `high` (value: `"high"`)
+
+
+
diff --git a/lib/docs/WebSearchLocation.md b/lib/docs/WebSearchLocation.md
new file mode 100644
index 00000000..37ab0d9d
--- /dev/null
+++ b/lib/docs/WebSearchLocation.md
@@ -0,0 +1,13 @@
+
+# WebSearchLocation
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **country** | **kotlin.String** | The two-letter  [ISO country code](https://en.wikipedia.org/wiki/ISO_3166-1) of the user, e.g. &#x60;US&#x60;.  |  [optional] |
+| **region** | **kotlin.String** | Free text input for the region of the user, e.g. &#x60;California&#x60;.  |  [optional] |
+| **city** | **kotlin.String** | Free text input for the city of the user, e.g. &#x60;San Francisco&#x60;.  |  [optional] |
+| **timezone** | **kotlin.String** | The [IANA timezone](https://timeapi.io/documentation/iana-timezones)  of the user, e.g. &#x60;America/Los_Angeles&#x60;.  |  [optional] |
+
+
+
diff --git a/lib/docs/WebSearchTool.md b/lib/docs/WebSearchTool.md
new file mode 100644
index 00000000..c7478082
--- /dev/null
+++ b/lib/docs/WebSearchTool.md
@@ -0,0 +1,19 @@
+
+# WebSearchTool
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of the web search tool. One of: - &#x60;web_search_preview&#x60; - &#x60;web_search_preview_2025_03_11&#x60;  |  |
+| **userLocation** | [**WebSearchToolUserLocation**](WebSearchToolUserLocation.md) |  |  [optional] |
+| **searchContextSize** | [**WebSearchContextSize**](WebSearchContextSize.md) |  |  [optional] |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | web_search_preview, web_search_preview_2025_03_11 |
+
+
+
diff --git a/lib/docs/WebSearchToolCall.md b/lib/docs/WebSearchToolCall.md
new file mode 100644
index 00000000..4e3c7a90
--- /dev/null
+++ b/lib/docs/WebSearchToolCall.md
@@ -0,0 +1,26 @@
+
+# WebSearchToolCall
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **id** | **kotlin.String** | The unique ID of the web search tool call.  |  |
+| **type** | [**inline**](#Type) | The type of the web search tool call. Always &#x60;web_search_call&#x60;.  |  |
+| **status** | [**inline**](#Status) | The status of the web search tool call.  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | web_search_call |
+
+
+<a id="Status"></a>
+## Enum: status
+| Name | Value |
+| ---- | ----- |
+| status | in_progress, searching, completed, failed |
+
+
+
diff --git a/lib/docs/WebSearchToolUserLocation.md b/lib/docs/WebSearchToolUserLocation.md
new file mode 100644
index 00000000..a96b2f5b
--- /dev/null
+++ b/lib/docs/WebSearchToolUserLocation.md
@@ -0,0 +1,21 @@
+
+# WebSearchToolUserLocation
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of location approximation. Always &#x60;approximate&#x60;.  |  |
+| **country** | **kotlin.String** | The two-letter  [ISO country code](https://en.wikipedia.org/wiki/ISO_3166-1) of the user, e.g. &#x60;US&#x60;.  |  [optional] |
+| **region** | **kotlin.String** | Free text input for the region of the user, e.g. &#x60;California&#x60;.  |  [optional] |
+| **city** | **kotlin.String** | Free text input for the city of the user, e.g. &#x60;San Francisco&#x60;.  |  [optional] |
+| **timezone** | **kotlin.String** | The [IANA timezone](https://timeapi.io/documentation/iana-timezones)  of the user, e.g. &#x60;America/Los_Angeles&#x60;.  |  [optional] |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | approximate |
+
+
+
diff --git a/lib/docs/WebSearchUserLocation.md b/lib/docs/WebSearchUserLocation.md
new file mode 100644
index 00000000..b44a6f70
--- /dev/null
+++ b/lib/docs/WebSearchUserLocation.md
@@ -0,0 +1,18 @@
+
+# WebSearchUserLocation
+
+## Properties
+| Name | Type | Description | Notes |
+| ------------ | ------------- | ------------- | ------------- |
+| **type** | [**inline**](#Type) | The type of location approximation. Always &#x60;approximate&#x60;.  |  |
+| **approximate** | [**WebSearchLocation**](WebSearchLocation.md) |  |  |
+
+
+<a id="Type"></a>
+## Enum: type
+| Name | Value |
+| ---- | ----- |
+| type | approximate |
+
+
+
diff --git a/lib/src/main/kotlin/com/openai/apis/AssistantsApi.kt b/lib/src/main/kotlin/com/openai/apis/AssistantsApi.kt
index ad088b7a..0aeb9737 100644
--- a/lib/src/main/kotlin/com/openai/apis/AssistantsApi.kt
+++ b/lib/src/main/kotlin/com/openai/apis/AssistantsApi.kt
@@ -63,7 +63,8 @@ class AssistantsApi(
     }
 
     /**
-     * Cancels a run that is &#x60;in_progress&#x60;.
+     * POST /threads/{thread_id}/runs/{run_id}/cancel Cancels a run that is
+     * &#x60;in_progress&#x60;.
      *
      * @param threadId The ID of the thread to which this run belongs.
      * @param runId The ID of the run to cancel.
@@ -118,7 +119,8 @@ class AssistantsApi(
     }
 
     /**
-     * Cancels a run that is &#x60;in_progress&#x60;.
+     * POST /threads/{thread_id}/runs/{run_id}/cancel Cancels a run that is
+     * &#x60;in_progress&#x60;.
      *
      * @param threadId The ID of the thread to which this run belongs.
      * @param runId The ID of the run to cancel.
@@ -174,7 +176,7 @@ class AssistantsApi(
     }
 
     /**
-     * Create an assistant with a model and instructions.
+     * POST /assistants Create an assistant with a model and instructions.
      *
      * @param createAssistantRequest
      * @return AssistantObject
@@ -232,7 +234,7 @@ class AssistantsApi(
     }
 
     /**
-     * Create an assistant with a model and instructions.
+     * POST /assistants Create an assistant with a model and instructions.
      *
      * @param createAssistantRequest
      * @return ApiResponse<AssistantObject?>
@@ -280,7 +282,7 @@ class AssistantsApi(
     }
 
     /**
-     * Create a message.
+     * POST /threads/{thread_id}/messages Create a message.
      *
      * @param threadId The ID of the [thread](/docs/api-reference/threads) to
      *   create a message for.
@@ -342,7 +344,7 @@ class AssistantsApi(
     }
 
     /**
-     * Create a message.
+     * POST /threads/{thread_id}/messages Create a message.
      *
      * @param threadId The ID of the [thread](/docs/api-reference/threads) to
      *   create a message for.
@@ -420,7 +422,7 @@ class AssistantsApi(
     }
 
     /**
-     * Create a run.
+     * POST /threads/{thread_id}/runs Create a run.
      *
      * @param threadId The ID of the thread to run.
      * @param createRunRequest
@@ -489,7 +491,7 @@ class AssistantsApi(
     }
 
     /**
-     * Create a run.
+     * POST /threads/{thread_id}/runs Create a run.
      *
      * @param threadId The ID of the thread to run.
      * @param createRunRequest
@@ -572,7 +574,7 @@ class AssistantsApi(
     }
 
     /**
-     * Create a thread.
+     * POST /threads Create a thread.
      *
      * @param createThreadRequest (optional)
      * @return ThreadObject
@@ -628,7 +630,7 @@ class AssistantsApi(
     }
 
     /**
-     * Create a thread.
+     * POST /threads Create a thread.
      *
      * @param createThreadRequest (optional)
      * @return ApiResponse<ThreadObject?>
@@ -672,7 +674,7 @@ class AssistantsApi(
     }
 
     /**
-     * Create a thread and run it in one request.
+     * POST /threads/runs Create a thread and run it in one request.
      *
      * @param createThreadAndRunRequest
      * @return RunObject
@@ -730,7 +732,7 @@ class AssistantsApi(
     }
 
     /**
-     * Create a thread and run it in one request.
+     * POST /threads/runs Create a thread and run it in one request.
      *
      * @param createThreadAndRunRequest
      * @return ApiResponse<RunObject?>
@@ -778,7 +780,7 @@ class AssistantsApi(
     }
 
     /**
-     * Delete an assistant.
+     * DELETE /assistants/{assistant_id} Delete an assistant.
      *
      * @param assistantId The ID of the assistant to delete.
      * @return DeleteAssistantResponse
@@ -832,7 +834,7 @@ class AssistantsApi(
     }
 
     /**
-     * Delete an assistant.
+     * DELETE /assistants/{assistant_id} Delete an assistant.
      *
      * @param assistantId The ID of the assistant to delete.
      * @return ApiResponse<DeleteAssistantResponse?>
@@ -880,7 +882,7 @@ class AssistantsApi(
     }
 
     /**
-     * Deletes a message.
+     * DELETE /threads/{thread_id}/messages/{message_id} Deletes a message.
      *
      * @param threadId The ID of the thread to which this message belongs.
      * @param messageId The ID of the message to delete.
@@ -941,7 +943,7 @@ class AssistantsApi(
     }
 
     /**
-     * Deletes a message.
+     * DELETE /threads/{thread_id}/messages/{message_id} Deletes a message.
      *
      * @param threadId The ID of the thread to which this message belongs.
      * @param messageId The ID of the message to delete.
@@ -1000,7 +1002,7 @@ class AssistantsApi(
     }
 
     /**
-     * Delete a thread.
+     * DELETE /threads/{thread_id} Delete a thread.
      *
      * @param threadId The ID of the thread to delete.
      * @return DeleteThreadResponse
@@ -1053,7 +1055,7 @@ class AssistantsApi(
     }
 
     /**
-     * Delete a thread.
+     * DELETE /threads/{thread_id} Delete a thread.
      *
      * @param threadId The ID of the thread to delete.
      * @return ApiResponse<DeleteThreadResponse?>
@@ -1100,7 +1102,7 @@ class AssistantsApi(
     }
 
     /**
-     * Retrieves an assistant.
+     * GET /assistants/{assistant_id} Retrieves an assistant.
      *
      * @param assistantId The ID of the assistant to retrieve.
      * @return AssistantObject
@@ -1154,7 +1156,7 @@ class AssistantsApi(
     }
 
     /**
-     * Retrieves an assistant.
+     * GET /assistants/{assistant_id} Retrieves an assistant.
      *
      * @param assistantId The ID of the assistant to retrieve.
      * @return ApiResponse<AssistantObject?>
@@ -1202,7 +1204,7 @@ class AssistantsApi(
     }
 
     /**
-     * Retrieve a message.
+     * GET /threads/{thread_id}/messages/{message_id} Retrieve a message.
      *
      * @param threadId The ID of the [thread](/docs/api-reference/threads) to
      *   which this message belongs.
@@ -1261,7 +1263,7 @@ class AssistantsApi(
     }
 
     /**
-     * Retrieve a message.
+     * GET /threads/{thread_id}/messages/{message_id} Retrieve a message.
      *
      * @param threadId The ID of the [thread](/docs/api-reference/threads) to
      *   which this message belongs.
@@ -1319,7 +1321,7 @@ class AssistantsApi(
     }
 
     /**
-     * Retrieves a run.
+     * GET /threads/{thread_id}/runs/{run_id} Retrieves a run.
      *
      * @param threadId The ID of the [thread](/docs/api-reference/threads) that
      *   was run.
@@ -1375,7 +1377,7 @@ class AssistantsApi(
     }
 
     /**
-     * Retrieves a run.
+     * GET /threads/{thread_id}/runs/{run_id} Retrieves a run.
      *
      * @param threadId The ID of the [thread](/docs/api-reference/threads) that
      *   was run.
@@ -1453,7 +1455,8 @@ class AssistantsApi(
     }
 
     /**
-     * Retrieves a run step.
+     * GET /threads/{thread_id}/runs/{run_id}/steps/{step_id} Retrieves a run
+     * step.
      *
      * @param threadId The ID of the thread to which the run and run step
      *   belongs.
@@ -1526,7 +1529,8 @@ class AssistantsApi(
     }
 
     /**
-     * Retrieves a run step.
+     * GET /threads/{thread_id}/runs/{run_id}/steps/{step_id} Retrieves a run
+     * step.
      *
      * @param threadId The ID of the thread to which the run and run step
      *   belongs.
@@ -1623,7 +1627,7 @@ class AssistantsApi(
     }
 
     /**
-     * Retrieves a thread.
+     * GET /threads/{thread_id} Retrieves a thread.
      *
      * @param threadId The ID of the thread to retrieve.
      * @return ThreadObject
@@ -1676,7 +1680,7 @@ class AssistantsApi(
     }
 
     /**
-     * Retrieves a thread.
+     * GET /threads/{thread_id} Retrieves a thread.
      *
      * @param threadId The ID of the thread to retrieve.
      * @return ApiResponse<ThreadObject?>
@@ -1737,7 +1741,7 @@ class AssistantsApi(
     }
 
     /**
-     * Returns a list of assistants.
+     * GET /assistants Returns a list of assistants.
      *
      * @param limit A limit on the number of objects to be returned. Limit can
      *   range between 1 and 100, and the default is 20. (optional, default
@@ -1816,7 +1820,7 @@ class AssistantsApi(
     }
 
     /**
-     * Returns a list of assistants.
+     * GET /assistants Returns a list of assistants.
      *
      * @param limit A limit on the number of objects to be returned. Limit can
      *   range between 1 and 100, and the default is 20. (optional, default
@@ -1934,7 +1938,8 @@ class AssistantsApi(
     }
 
     /**
-     * Returns a list of messages for a given thread.
+     * GET /threads/{thread_id}/messages Returns a list of messages for a given
+     * thread.
      *
      * @param threadId The ID of the [thread](/docs/api-reference/threads) the
      *   messages belong to.
@@ -2021,7 +2026,8 @@ class AssistantsApi(
     }
 
     /**
-     * Returns a list of messages for a given thread.
+     * GET /threads/{thread_id}/messages Returns a list of messages for a given
+     * thread.
      *
      * @param threadId The ID of the [thread](/docs/api-reference/threads) the
      *   messages belong to.
@@ -2181,7 +2187,8 @@ class AssistantsApi(
     }
 
     /**
-     * Returns a list of run steps belonging to a run.
+     * GET /threads/{thread_id}/runs/{run_id}/steps Returns a list of run steps
+     * belonging to a run.
      *
      * @param threadId The ID of the thread the run and run steps belong to.
      * @param runId The ID of the run the run steps belong to.
@@ -2274,7 +2281,8 @@ class AssistantsApi(
     }
 
     /**
-     * Returns a list of run steps belonging to a run.
+     * GET /threads/{thread_id}/runs/{run_id}/steps Returns a list of run steps
+     * belonging to a run.
      *
      * @param threadId The ID of the thread the run and run steps belong to.
      * @param runId The ID of the run the run steps belong to.
@@ -2432,7 +2440,8 @@ class AssistantsApi(
     }
 
     /**
-     * Returns a list of runs belonging to a thread.
+     * GET /threads/{thread_id}/runs Returns a list of runs belonging to a
+     * thread.
      *
      * @param threadId The ID of the thread the run belongs to.
      * @param limit A limit on the number of objects to be returned. Limit can
@@ -2514,7 +2523,8 @@ class AssistantsApi(
     }
 
     /**
-     * Returns a list of runs belonging to a thread.
+     * GET /threads/{thread_id}/runs Returns a list of runs belonging to a
+     * thread.
      *
      * @param threadId The ID of the thread the run belongs to.
      * @param limit A limit on the number of objects to be returned. Limit can
@@ -2626,7 +2636,7 @@ class AssistantsApi(
     }
 
     /**
-     * Modifies an assistant.
+     * POST /assistants/{assistant_id} Modifies an assistant.
      *
      * @param assistantId The ID of the assistant to modify.
      * @param modifyAssistantRequest
@@ -2687,7 +2697,7 @@ class AssistantsApi(
     }
 
     /**
-     * Modifies an assistant.
+     * POST /assistants/{assistant_id} Modifies an assistant.
      *
      * @param assistantId The ID of the assistant to modify.
      * @param modifyAssistantRequest
@@ -2745,7 +2755,7 @@ class AssistantsApi(
     }
 
     /**
-     * Modifies a message.
+     * POST /threads/{thread_id}/messages/{message_id} Modifies a message.
      *
      * @param threadId The ID of the thread to which this message belongs.
      * @param messageId The ID of the message to modify.
@@ -2809,7 +2819,7 @@ class AssistantsApi(
     }
 
     /**
-     * Modifies a message.
+     * POST /threads/{thread_id}/messages/{message_id} Modifies a message.
      *
      * @param threadId The ID of the thread to which this message belongs.
      * @param messageId The ID of the message to modify.
@@ -2874,7 +2884,7 @@ class AssistantsApi(
     }
 
     /**
-     * Modifies a run.
+     * POST /threads/{thread_id}/runs/{run_id} Modifies a run.
      *
      * @param threadId The ID of the [thread](/docs/api-reference/threads) that
      *   was run.
@@ -2939,7 +2949,7 @@ class AssistantsApi(
     }
 
     /**
-     * Modifies a run.
+     * POST /threads/{thread_id}/runs/{run_id} Modifies a run.
      *
      * @param threadId The ID of the [thread](/docs/api-reference/threads) that
      *   was run.
@@ -3006,7 +3016,7 @@ class AssistantsApi(
     }
 
     /**
-     * Modifies a thread.
+     * POST /threads/{thread_id} Modifies a thread.
      *
      * @param threadId The ID of the thread to modify. Only the
      *   &#x60;metadata&#x60; can be modified.
@@ -3068,7 +3078,7 @@ class AssistantsApi(
     }
 
     /**
-     * Modifies a thread.
+     * POST /threads/{thread_id} Modifies a thread.
      *
      * @param threadId The ID of the thread to modify. Only the
      *   &#x60;metadata&#x60; can be modified.
@@ -3126,7 +3136,8 @@ class AssistantsApi(
     }
 
     /**
-     * When a run has the &#x60;status: \&quot;requires_action\&quot;&#x60; and
+     * POST /threads/{thread_id}/runs/{run_id}/submit_tool_outputs When a run
+     * has the &#x60;status: \&quot;requires_action\&quot;&#x60; and
      * &#x60;required_action.type&#x60; is &#x60;submit_tool_outputs&#x60;, this
      * endpoint can be used to submit the outputs from the tool calls once
      * they&#39;re all completed. All outputs must be submitted in a single
@@ -3195,7 +3206,8 @@ class AssistantsApi(
     }
 
     /**
-     * When a run has the &#x60;status: \&quot;requires_action\&quot;&#x60; and
+     * POST /threads/{thread_id}/runs/{run_id}/submit_tool_outputs When a run
+     * has the &#x60;status: \&quot;requires_action\&quot;&#x60; and
      * &#x60;required_action.type&#x60; is &#x60;submit_tool_outputs&#x60;, this
      * endpoint can be used to submit the outputs from the tool calls once
      * they&#39;re all completed. All outputs must be submitted in a single
diff --git a/lib/src/main/kotlin/com/openai/apis/AudioApi.kt b/lib/src/main/kotlin/com/openai/apis/AudioApi.kt
index 26f3b7da..c2c9644c 100644
--- a/lib/src/main/kotlin/com/openai/apis/AudioApi.kt
+++ b/lib/src/main/kotlin/com/openai/apis/AudioApi.kt
@@ -28,6 +28,8 @@ import com.openai.models.CreateSpeechRequest
 import com.openai.models.CreateTranscription200Response
 import com.openai.models.CreateTranscriptionRequestModel
 import com.openai.models.CreateTranslation200Response
+import com.openai.models.CreateTranslationRequestModel
+import com.openai.models.TranscriptionInclude
 import com.squareup.moshi.Json
 import java.io.IOException
 import okhttp3.Call
@@ -46,7 +48,7 @@ class AudioApi(
     }
 
     /**
-     * Generates audio from the input text.
+     * POST /audio/speech Generates audio from the input text.
      *
      * @param createSpeechRequest
      * @return java.io.File
@@ -100,7 +102,7 @@ class AudioApi(
     }
 
     /**
-     * Generates audio from the input text.
+     * POST /audio/speech Generates audio from the input text.
      *
      * @param createSpeechRequest
      * @return ApiResponse<java.io.File?>
@@ -162,7 +164,7 @@ class AudioApi(
     }
 
     /**
-     * Transcribes audio into the input language.
+     * POST /audio/transcriptions Transcribes audio into the input language.
      *
      * @param file The audio file object (not file name) to transcribe, in one
      *   of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
@@ -184,6 +186,13 @@ class AudioApi(
      *   [log probability](https://en.wikipedia.org/wiki/Log_probability) to
      *   automatically increase the temperature until certain thresholds are
      *   hit. (optional, default to 0)
+     * @param include Additional information to include in the transcription
+     *   response. &#x60;logprobs&#x60; will return the log probabilities of the
+     *   tokens in the response to understand the model&#39;s confidence in the
+     *   transcription. &#x60;logprobs&#x60; only works with response_format set
+     *   to &#x60;json&#x60; and only with the models
+     *   &#x60;gpt-4o-transcribe&#x60; and &#x60;gpt-4o-mini-transcribe&#x60;.
+     *   (optional)
      * @param timestampGranularities The timestamp granularities to populate for
      *   this transcription. &#x60;response_format&#x60; must be set
      *   &#x60;verbose_json&#x60; to use timestamp granularities. Either or both
@@ -191,6 +200,14 @@ class AudioApi(
      *   &#x60;segment&#x60;. Note: There is no additional latency for segment
      *   timestamps, but generating word timestamps incurs additional latency.
      *   (optional)
+     * @param stream If set to true, the model response data will be streamed to
+     *   the client as it is generated using
+     *   [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format).
+     *   See the
+     *   [Streaming section of the Speech-to-Text guide](/docs/guides/speech-to-text?lang&#x3D;curl#streaming-transcriptions)
+     *   for more information. Note: Streaming is not supported for the
+     *   &#x60;whisper-1&#x60; model and will be ignored. (optional, default to
+     *   false)
      * @return CreateTranscription200Response
      * @throws IllegalStateException If the request is not correctly configured
      * @throws IOException Rethrows the OkHttp execute method exception
@@ -212,13 +229,17 @@ class AudioApi(
         model: CreateTranscriptionRequestModel,
         language: kotlin.String? = null,
         prompt: kotlin.String? = null,
+        // openai-openapi-kotlin change begin
         responseFormat: AudioResponseFormat? = AudioResponseFormat.json,
+        // openai-openapi-kotlin change end
         temperature: java.math.BigDecimal? = java.math.BigDecimal("0"),
+        include: kotlin.collections.List<TranscriptionInclude>? = null,
         timestampGranularities:
             kotlin.collections.List<
                 TimestampGranularitiesCreateTranscription
             >? =
             null,
+        stream: kotlin.Boolean? = false,
     ): CreateTranscription200Response {
         val localVarResponse =
             createTranscriptionWithHttpInfo(
@@ -228,7 +249,9 @@ class AudioApi(
                 prompt = prompt,
                 responseFormat = responseFormat,
                 temperature = temperature,
+                include = include,
                 timestampGranularities = timestampGranularities,
+                stream = stream,
             )
 
         return when (localVarResponse.responseType) {
@@ -263,7 +286,7 @@ class AudioApi(
     }
 
     /**
-     * Transcribes audio into the input language.
+     * POST /audio/transcriptions Transcribes audio into the input language.
      *
      * @param file The audio file object (not file name) to transcribe, in one
      *   of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
@@ -285,6 +308,13 @@ class AudioApi(
      *   [log probability](https://en.wikipedia.org/wiki/Log_probability) to
      *   automatically increase the temperature until certain thresholds are
      *   hit. (optional, default to 0)
+     * @param include Additional information to include in the transcription
+     *   response. &#x60;logprobs&#x60; will return the log probabilities of the
+     *   tokens in the response to understand the model&#39;s confidence in the
+     *   transcription. &#x60;logprobs&#x60; only works with response_format set
+     *   to &#x60;json&#x60; and only with the models
+     *   &#x60;gpt-4o-transcribe&#x60; and &#x60;gpt-4o-mini-transcribe&#x60;.
+     *   (optional)
      * @param timestampGranularities The timestamp granularities to populate for
      *   this transcription. &#x60;response_format&#x60; must be set
      *   &#x60;verbose_json&#x60; to use timestamp granularities. Either or both
@@ -292,6 +322,14 @@ class AudioApi(
      *   &#x60;segment&#x60;. Note: There is no additional latency for segment
      *   timestamps, but generating word timestamps incurs additional latency.
      *   (optional)
+     * @param stream If set to true, the model response data will be streamed to
+     *   the client as it is generated using
+     *   [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format).
+     *   See the
+     *   [Streaming section of the Speech-to-Text guide](/docs/guides/speech-to-text?lang&#x3D;curl#streaming-transcriptions)
+     *   for more information. Note: Streaming is not supported for the
+     *   &#x60;whisper-1&#x60; model and will be ignored. (optional, default to
+     *   false)
      * @return ApiResponse<CreateTranscription200Response?>
      * @throws IllegalStateException If the request is not correctly configured
      * @throws IOException Rethrows the OkHttp execute method exception
@@ -305,8 +343,10 @@ class AudioApi(
         prompt: kotlin.String?,
         responseFormat: AudioResponseFormat?,
         temperature: java.math.BigDecimal?,
+        include: kotlin.collections.List<TranscriptionInclude>?,
         timestampGranularities:
             kotlin.collections.List<TimestampGranularitiesCreateTranscription>?,
+        stream: kotlin.Boolean?,
     ): ApiResponse<CreateTranscription200Response?> {
         val localVariableConfig =
             createTranscriptionRequestConfig(
@@ -316,7 +356,9 @@ class AudioApi(
                 prompt = prompt,
                 responseFormat = responseFormat,
                 temperature = temperature,
+                include = include,
                 timestampGranularities = timestampGranularities,
+                stream = stream,
             )
 
         return request<
@@ -350,6 +392,13 @@ class AudioApi(
      *   [log probability](https://en.wikipedia.org/wiki/Log_probability) to
      *   automatically increase the temperature until certain thresholds are
      *   hit. (optional, default to 0)
+     * @param include Additional information to include in the transcription
+     *   response. &#x60;logprobs&#x60; will return the log probabilities of the
+     *   tokens in the response to understand the model&#39;s confidence in the
+     *   transcription. &#x60;logprobs&#x60; only works with response_format set
+     *   to &#x60;json&#x60; and only with the models
+     *   &#x60;gpt-4o-transcribe&#x60; and &#x60;gpt-4o-mini-transcribe&#x60;.
+     *   (optional)
      * @param timestampGranularities The timestamp granularities to populate for
      *   this transcription. &#x60;response_format&#x60; must be set
      *   &#x60;verbose_json&#x60; to use timestamp granularities. Either or both
@@ -357,6 +406,14 @@ class AudioApi(
      *   &#x60;segment&#x60;. Note: There is no additional latency for segment
      *   timestamps, but generating word timestamps incurs additional latency.
      *   (optional)
+     * @param stream If set to true, the model response data will be streamed to
+     *   the client as it is generated using
+     *   [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format).
+     *   See the
+     *   [Streaming section of the Speech-to-Text guide](/docs/guides/speech-to-text?lang&#x3D;curl#streaming-transcriptions)
+     *   for more information. Note: Streaming is not supported for the
+     *   &#x60;whisper-1&#x60; model and will be ignored. (optional, default to
+     *   false)
      * @return RequestConfig
      */
     fun createTranscriptionRequestConfig(
@@ -366,8 +423,10 @@ class AudioApi(
         prompt: kotlin.String?,
         responseFormat: AudioResponseFormat?,
         temperature: java.math.BigDecimal?,
+        include: kotlin.collections.List<TranscriptionInclude>?,
         timestampGranularities:
             kotlin.collections.List<TimestampGranularitiesCreateTranscription>?,
+        stream: kotlin.Boolean?,
     ): RequestConfig<Map<String, PartConfig<*>>> {
         val localVariableBody =
             mapOf(
@@ -380,11 +439,16 @@ class AudioApi(
                     PartConfig(body = responseFormat, headers = mutableMapOf()),
                 "temperature" to
                     PartConfig(body = temperature, headers = mutableMapOf()),
+                "include[]" to
+                    PartConfig(body = include, headers = mutableMapOf()),
                 "timestamp_granularities[]" to
                     PartConfig(
+                        // openai-openapi-kotlin change begin
                         body = timestampGranularities,
+                        // openai-openapi-kotlin change end
                         headers = mutableMapOf(),
                     ),
+                "stream" to PartConfig(body = stream, headers = mutableMapOf()),
             )
         val localVariableQuery: MultiValueMap = mutableMapOf()
         val localVariableHeaders: MutableMap<String, String> =
@@ -401,8 +465,27 @@ class AudioApi(
         )
     }
 
+    /** enum for parameter responseFormat */
+    enum class ResponseFormatCreateTranslation(val value: kotlin.String) {
+        @Json(name = "json") json("json"),
+        @Json(name = "text") text("text"),
+        @Json(name = "srt") srt("srt"),
+        @Json(name = "verbose_json") verbose_json("verbose_json"),
+        @Json(name = "vtt") vtt("vtt");
+
+        /**
+         * Override [toString()] to avoid using the enum variable name as the
+         * value, and instead use the actual value defined in the API spec file.
+         *
+         * This solves a problem when the variable name and its value are
+         * different, and ensures that the client sends the correct enum values
+         * to the server always.
+         */
+        override fun toString(): kotlin.String = "$value"
+    }
+
     /**
-     * Translates audio into English.
+     * POST /audio/translations Translates audio into English.
      *
      * @param file The audio file object (not file name) translate, in one of
      *   these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
@@ -411,7 +494,10 @@ class AudioApi(
      *   a previous audio segment. The
      *   [prompt](/docs/guides/speech-to-text#prompting) should be in English.
      *   (optional)
-     * @param responseFormat (optional, default to json)
+     * @param responseFormat The format of the output, in one of these options:
+     *   &#x60;json&#x60;, &#x60;text&#x60;, &#x60;srt&#x60;,
+     *   &#x60;verbose_json&#x60;, or &#x60;vtt&#x60;. (optional, default to
+     *   json)
      * @param temperature The sampling temperature, between 0 and 1. Higher
      *   values like 0.8 will make the output more random, while lower values
      *   like 0.2 will make it more focused and deterministic. If set to 0, the
@@ -437,9 +523,10 @@ class AudioApi(
     )
     fun createTranslation(
         file: java.io.File,
-        model: CreateTranscriptionRequestModel,
+        model: CreateTranslationRequestModel,
         prompt: kotlin.String? = null,
-        responseFormat: AudioResponseFormat? = AudioResponseFormat.json,
+        responseFormat: ResponseFormatCreateTranslation? =
+            ResponseFormatCreateTranslation.json,
         temperature: java.math.BigDecimal? = java.math.BigDecimal("0"),
     ): CreateTranslation200Response {
         val localVarResponse =
@@ -483,7 +570,7 @@ class AudioApi(
     }
 
     /**
-     * Translates audio into English.
+     * POST /audio/translations Translates audio into English.
      *
      * @param file The audio file object (not file name) translate, in one of
      *   these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
@@ -492,7 +579,10 @@ class AudioApi(
      *   a previous audio segment. The
      *   [prompt](/docs/guides/speech-to-text#prompting) should be in English.
      *   (optional)
-     * @param responseFormat (optional, default to json)
+     * @param responseFormat The format of the output, in one of these options:
+     *   &#x60;json&#x60;, &#x60;text&#x60;, &#x60;srt&#x60;,
+     *   &#x60;verbose_json&#x60;, or &#x60;vtt&#x60;. (optional, default to
+     *   json)
      * @param temperature The sampling temperature, between 0 and 1. Higher
      *   values like 0.8 will make the output more random, while lower values
      *   like 0.2 will make it more focused and deterministic. If set to 0, the
@@ -508,9 +598,9 @@ class AudioApi(
     @Throws(IllegalStateException::class, IOException::class)
     fun createTranslationWithHttpInfo(
         file: java.io.File,
-        model: CreateTranscriptionRequestModel,
+        model: CreateTranslationRequestModel,
         prompt: kotlin.String?,
-        responseFormat: AudioResponseFormat?,
+        responseFormat: ResponseFormatCreateTranslation?,
         temperature: java.math.BigDecimal?,
     ): ApiResponse<CreateTranslation200Response?> {
         val localVariableConfig =
@@ -540,7 +630,10 @@ class AudioApi(
      *   a previous audio segment. The
      *   [prompt](/docs/guides/speech-to-text#prompting) should be in English.
      *   (optional)
-     * @param responseFormat (optional, default to json)
+     * @param responseFormat The format of the output, in one of these options:
+     *   &#x60;json&#x60;, &#x60;text&#x60;, &#x60;srt&#x60;,
+     *   &#x60;verbose_json&#x60;, or &#x60;vtt&#x60;. (optional, default to
+     *   json)
      * @param temperature The sampling temperature, between 0 and 1. Higher
      *   values like 0.8 will make the output more random, while lower values
      *   like 0.2 will make it more focused and deterministic. If set to 0, the
@@ -552,9 +645,9 @@ class AudioApi(
      */
     fun createTranslationRequestConfig(
         file: java.io.File,
-        model: CreateTranscriptionRequestModel,
+        model: CreateTranslationRequestModel,
         prompt: kotlin.String?,
-        responseFormat: AudioResponseFormat?,
+        responseFormat: ResponseFormatCreateTranslation?,
         temperature: java.math.BigDecimal?,
     ): RequestConfig<Map<String, PartConfig<*>>> {
         val localVariableBody =
@@ -563,7 +656,10 @@ class AudioApi(
                 "model" to PartConfig(body = model, headers = mutableMapOf()),
                 "prompt" to PartConfig(body = prompt, headers = mutableMapOf()),
                 "response_format" to
-                    PartConfig(body = responseFormat, headers = mutableMapOf()),
+                    PartConfig(
+                        body = responseFormat?.value,
+                        headers = mutableMapOf(),
+                    ),
                 "temperature" to
                     PartConfig(body = temperature, headers = mutableMapOf()),
             )
diff --git a/lib/src/main/kotlin/com/openai/apis/AuditLogsApi.kt b/lib/src/main/kotlin/com/openai/apis/AuditLogsApi.kt
index 33624c53..9f4855bc 100644
--- a/lib/src/main/kotlin/com/openai/apis/AuditLogsApi.kt
+++ b/lib/src/main/kotlin/com/openai/apis/AuditLogsApi.kt
@@ -43,7 +43,8 @@ class AuditLogsApi(
     }
 
     /**
-     * List user actions and configuration changes within this organization.
+     * GET /organization/audit_logs List user actions and configuration changes
+     * within this organization.
      *
      * @param effectiveAt Return only events whose &#x60;effective_at&#x60;
      *   (Unix seconds) is in this range. (optional)
@@ -142,7 +143,8 @@ class AuditLogsApi(
     }
 
     /**
-     * List user actions and configuration changes within this organization.
+     * GET /organization/audit_logs List user actions and configuration changes
+     * within this organization.
      *
      * @param effectiveAt Return only events whose &#x60;effective_at&#x60;
      *   (Unix seconds) is in this range. (optional)
@@ -253,7 +255,18 @@ class AuditLogsApi(
                 >()
                 .apply {
                     if (effectiveAt != null) {
-                        put("effective_at", listOf(effectiveAt.toString()))
+                        if (effectiveAt.gt != null) {
+                            put("gt", listOf(effectiveAt.gt.toString()))
+                        }
+                        if (effectiveAt.gte != null) {
+                            put("gte", listOf(effectiveAt.gte.toString()))
+                        }
+                        if (effectiveAt.lt != null) {
+                            put("lt", listOf(effectiveAt.lt.toString()))
+                        }
+                        if (effectiveAt.lte != null) {
+                            put("lte", listOf(effectiveAt.lte.toString()))
+                        }
                     }
                     if (projectIds != null) {
                         put(
diff --git a/lib/src/main/kotlin/com/openai/apis/BatchApi.kt b/lib/src/main/kotlin/com/openai/apis/BatchApi.kt
index 2d12b822..eba65da4 100644
--- a/lib/src/main/kotlin/com/openai/apis/BatchApi.kt
+++ b/lib/src/main/kotlin/com/openai/apis/BatchApi.kt
@@ -42,10 +42,10 @@ class BatchApi(
     }
 
     /**
-     * Cancels an in-progress batch. The batch will be in status
-     * &#x60;cancelling&#x60; for up to 10 minutes, before changing to
-     * &#x60;cancelled&#x60;, where it will have partial results (if any)
-     * available in the output file.
+     * POST /batches/{batch_id}/cancel Cancels an in-progress batch. The batch
+     * will be in status &#x60;cancelling&#x60; for up to 10 minutes, before
+     * changing to &#x60;cancelled&#x60;, where it will have partial results (if
+     * any) available in the output file.
      *
      * @param batchId The ID of the batch to cancel.
      * @return Batch
@@ -98,10 +98,10 @@ class BatchApi(
     }
 
     /**
-     * Cancels an in-progress batch. The batch will be in status
-     * &#x60;cancelling&#x60; for up to 10 minutes, before changing to
-     * &#x60;cancelled&#x60;, where it will have partial results (if any)
-     * available in the output file.
+     * POST /batches/{batch_id}/cancel Cancels an in-progress batch. The batch
+     * will be in status &#x60;cancelling&#x60; for up to 10 minutes, before
+     * changing to &#x60;cancelled&#x60;, where it will have partial results (if
+     * any) available in the output file.
      *
      * @param batchId The ID of the batch to cancel.
      * @return ApiResponse<Batch?>
@@ -144,7 +144,8 @@ class BatchApi(
     }
 
     /**
-     * Creates and executes a batch from an uploaded file of requests
+     * POST /batches Creates and executes a batch from an uploaded file of
+     * requests
      *
      * @param createBatchRequest
      * @return Batch
@@ -198,7 +199,8 @@ class BatchApi(
     }
 
     /**
-     * Creates and executes a batch from an uploaded file of requests
+     * POST /batches Creates and executes a batch from an uploaded file of
+     * requests
      *
      * @param createBatchRequest
      * @return ApiResponse<Batch?>
@@ -242,7 +244,7 @@ class BatchApi(
     }
 
     /**
-     * List your organization&#39;s batches.
+     * GET /batches List your organization&#39;s batches.
      *
      * @param after A cursor for use in pagination. &#x60;after&#x60; is an
      *   object ID that defines your place in the list. For instance, if you
@@ -306,7 +308,7 @@ class BatchApi(
     }
 
     /**
-     * List your organization&#39;s batches.
+     * GET /batches List your organization&#39;s batches.
      *
      * @param after A cursor for use in pagination. &#x60;after&#x60; is an
      *   object ID that defines your place in the list. For instance, if you
@@ -377,7 +379,7 @@ class BatchApi(
     }
 
     /**
-     * Retrieves a batch.
+     * GET /batches/{batch_id} Retrieves a batch.
      *
      * @param batchId The ID of the batch to retrieve.
      * @return Batch
@@ -430,7 +432,7 @@ class BatchApi(
     }
 
     /**
-     * Retrieves a batch.
+     * GET /batches/{batch_id} Retrieves a batch.
      *
      * @param batchId The ID of the batch to retrieve.
      * @return ApiResponse<Batch?>
diff --git a/lib/src/main/kotlin/com/openai/apis/ChatApi.kt b/lib/src/main/kotlin/com/openai/apis/ChatApi.kt
index b049f6b2..52ef3f0b 100644
--- a/lib/src/main/kotlin/com/openai/apis/ChatApi.kt
+++ b/lib/src/main/kotlin/com/openai/apis/ChatApi.kt
@@ -22,8 +22,14 @@ import com.openai.infrastructure.ResponseType
 import com.openai.infrastructure.ServerError
 import com.openai.infrastructure.ServerException
 import com.openai.infrastructure.Success
+import com.openai.infrastructure.toMultiValue
+import com.openai.models.ChatCompletionDeleted
+import com.openai.models.ChatCompletionList
+import com.openai.models.ChatCompletionMessageList
 import com.openai.models.CreateChatCompletionRequest
 import com.openai.models.CreateChatCompletionResponse
+import com.openai.models.UpdateChatCompletionRequest
+import com.squareup.moshi.Json
 import java.io.IOException
 import okhttp3.Call
 import okhttp3.HttpUrl
@@ -41,8 +47,12 @@ class ChatApi(
     }
 
     /**
-     * Creates a model response for the given chat conversation. Learn more in
-     * the [text generation](/docs/guides/text-generation),
+     * POST /chat/completions **Starting a new project?** We recommend trying
+     * [Responses](/docs/api-reference/responses) to take advantage of the
+     * latest OpenAI platform features. Compare
+     * [Chat Completions with Responses](/docs/guides/responses-vs-chat-completions?api-mode&#x3D;responses).
+     * --- Creates a model response for the given chat conversation. Learn more
+     * in the [text generation](/docs/guides/text-generation),
      * [vision](/docs/guides/vision), and [audio](/docs/guides/audio) guides.
      * Parameter support can differ depending on the model used to generate the
      * response, particularly for newer reasoning models. Parameters that are
@@ -107,8 +117,12 @@ class ChatApi(
     }
 
     /**
-     * Creates a model response for the given chat conversation. Learn more in
-     * the [text generation](/docs/guides/text-generation),
+     * POST /chat/completions **Starting a new project?** We recommend trying
+     * [Responses](/docs/api-reference/responses) to take advantage of the
+     * latest OpenAI platform features. Compare
+     * [Chat Completions with Responses](/docs/guides/responses-vs-chat-completions?api-mode&#x3D;responses).
+     * --- Creates a model response for the given chat conversation. Learn more
+     * in the [text generation](/docs/guides/text-generation),
      * [vision](/docs/guides/vision), and [audio](/docs/guides/audio) guides.
      * Parameter support can differ depending on the model used to generate the
      * response, particularly for newer reasoning models. Parameters that are
@@ -164,6 +178,730 @@ class ChatApi(
         )
     }
 
+    /**
+     * DELETE /chat/completions/{completion_id} Delete a stored chat completion.
+     * Only Chat Completions that have been created with the &#x60;store&#x60;
+     * parameter set to &#x60;true&#x60; can be deleted.
+     *
+     * @param completionId The ID of the chat completion to delete.
+     * @return ChatCompletionDeleted
+     * @throws IllegalStateException If the request is not correctly configured
+     * @throws IOException Rethrows the OkHttp execute method exception
+     * @throws UnsupportedOperationException If the API returns an informational
+     *   or redirection response
+     * @throws ClientException If the API returns a client error response
+     * @throws ServerException If the API returns a server error response
+     */
+    @Suppress("UNCHECKED_CAST")
+    @Throws(
+        IllegalStateException::class,
+        IOException::class,
+        UnsupportedOperationException::class,
+        ClientException::class,
+        ServerException::class,
+    )
+    fun deleteChatCompletion(
+        completionId: kotlin.String
+    ): ChatCompletionDeleted {
+        val localVarResponse =
+            deleteChatCompletionWithHttpInfo(completionId = completionId)
+
+        return when (localVarResponse.responseType) {
+            ResponseType.Success ->
+                (localVarResponse as Success<*>).data as ChatCompletionDeleted
+            ResponseType.Informational ->
+                throw UnsupportedOperationException(
+                    "Client does not support Informational responses."
+                )
+            ResponseType.Redirection ->
+                throw UnsupportedOperationException(
+                    "Client does not support Redirection responses."
+                )
+            ResponseType.ClientError -> {
+                val localVarError = localVarResponse as ClientError<*>
+                throw ClientException(
+                    "Client error : ${localVarError.statusCode} ${localVarError.message.orEmpty()}",
+                    localVarError.statusCode,
+                    localVarResponse,
+                )
+            }
+            ResponseType.ServerError -> {
+                val localVarError = localVarResponse as ServerError<*>
+                throw ServerException(
+                    "Server error : ${localVarError.statusCode} ${localVarError.message.orEmpty()} ${localVarError.body}",
+                    localVarError.statusCode,
+                    localVarResponse,
+                )
+            }
+        }
+    }
+
+    /**
+     * DELETE /chat/completions/{completion_id} Delete a stored chat completion.
+     * Only Chat Completions that have been created with the &#x60;store&#x60;
+     * parameter set to &#x60;true&#x60; can be deleted.
+     *
+     * @param completionId The ID of the chat completion to delete.
+     * @return ApiResponse<ChatCompletionDeleted?>
+     * @throws IllegalStateException If the request is not correctly configured
+     * @throws IOException Rethrows the OkHttp execute method exception
+     */
+    @Suppress("UNCHECKED_CAST")
+    @Throws(IllegalStateException::class, IOException::class)
+    fun deleteChatCompletionWithHttpInfo(
+        completionId: kotlin.String
+    ): ApiResponse<ChatCompletionDeleted?> {
+        val localVariableConfig =
+            deleteChatCompletionRequestConfig(completionId = completionId)
+
+        return request<Unit, ChatCompletionDeleted>(localVariableConfig)
+    }
+
+    /**
+     * To obtain the request config of the operation deleteChatCompletion
+     *
+     * @param completionId The ID of the chat completion to delete.
+     * @return RequestConfig
+     */
+    fun deleteChatCompletionRequestConfig(
+        completionId: kotlin.String
+    ): RequestConfig<Unit> {
+        val localVariableBody = null
+        val localVariableQuery: MultiValueMap = mutableMapOf()
+        val localVariableHeaders: MutableMap<String, String> = mutableMapOf()
+        localVariableHeaders["Accept"] = "application/json"
+
+        return RequestConfig(
+            method = RequestMethod.DELETE,
+            path =
+                "/chat/completions/{completion_id}"
+                    .replace(
+                        "{" + "completion_id" + "}",
+                        encodeURIComponent(completionId.toString()),
+                    ),
+            query = localVariableQuery,
+            headers = localVariableHeaders,
+            requiresAuthentication = true,
+            body = localVariableBody,
+        )
+    }
+
+    /**
+     * GET /chat/completions/{completion_id} Get a stored chat completion. Only
+     * Chat Completions that have been created with the &#x60;store&#x60;
+     * parameter set to &#x60;true&#x60; will be returned.
+     *
+     * @param completionId The ID of the chat completion to retrieve.
+     * @return CreateChatCompletionResponse
+     * @throws IllegalStateException If the request is not correctly configured
+     * @throws IOException Rethrows the OkHttp execute method exception
+     * @throws UnsupportedOperationException If the API returns an informational
+     *   or redirection response
+     * @throws ClientException If the API returns a client error response
+     * @throws ServerException If the API returns a server error response
+     */
+    @Suppress("UNCHECKED_CAST")
+    @Throws(
+        IllegalStateException::class,
+        IOException::class,
+        UnsupportedOperationException::class,
+        ClientException::class,
+        ServerException::class,
+    )
+    fun getChatCompletion(
+        completionId: kotlin.String
+    ): CreateChatCompletionResponse {
+        val localVarResponse =
+            getChatCompletionWithHttpInfo(completionId = completionId)
+
+        return when (localVarResponse.responseType) {
+            ResponseType.Success ->
+                (localVarResponse as Success<*>).data
+                    as CreateChatCompletionResponse
+            ResponseType.Informational ->
+                throw UnsupportedOperationException(
+                    "Client does not support Informational responses."
+                )
+            ResponseType.Redirection ->
+                throw UnsupportedOperationException(
+                    "Client does not support Redirection responses."
+                )
+            ResponseType.ClientError -> {
+                val localVarError = localVarResponse as ClientError<*>
+                throw ClientException(
+                    "Client error : ${localVarError.statusCode} ${localVarError.message.orEmpty()}",
+                    localVarError.statusCode,
+                    localVarResponse,
+                )
+            }
+            ResponseType.ServerError -> {
+                val localVarError = localVarResponse as ServerError<*>
+                throw ServerException(
+                    "Server error : ${localVarError.statusCode} ${localVarError.message.orEmpty()} ${localVarError.body}",
+                    localVarError.statusCode,
+                    localVarResponse,
+                )
+            }
+        }
+    }
+
+    /**
+     * GET /chat/completions/{completion_id} Get a stored chat completion. Only
+     * Chat Completions that have been created with the &#x60;store&#x60;
+     * parameter set to &#x60;true&#x60; will be returned.
+     *
+     * @param completionId The ID of the chat completion to retrieve.
+     * @return ApiResponse<CreateChatCompletionResponse?>
+     * @throws IllegalStateException If the request is not correctly configured
+     * @throws IOException Rethrows the OkHttp execute method exception
+     */
+    @Suppress("UNCHECKED_CAST")
+    @Throws(IllegalStateException::class, IOException::class)
+    fun getChatCompletionWithHttpInfo(
+        completionId: kotlin.String
+    ): ApiResponse<CreateChatCompletionResponse?> {
+        val localVariableConfig =
+            getChatCompletionRequestConfig(completionId = completionId)
+
+        return request<Unit, CreateChatCompletionResponse>(localVariableConfig)
+    }
+
+    /**
+     * To obtain the request config of the operation getChatCompletion
+     *
+     * @param completionId The ID of the chat completion to retrieve.
+     * @return RequestConfig
+     */
+    fun getChatCompletionRequestConfig(
+        completionId: kotlin.String
+    ): RequestConfig<Unit> {
+        val localVariableBody = null
+        val localVariableQuery: MultiValueMap = mutableMapOf()
+        val localVariableHeaders: MutableMap<String, String> = mutableMapOf()
+        localVariableHeaders["Accept"] = "application/json"
+
+        return RequestConfig(
+            method = RequestMethod.GET,
+            path =
+                "/chat/completions/{completion_id}"
+                    .replace(
+                        "{" + "completion_id" + "}",
+                        encodeURIComponent(completionId.toString()),
+                    ),
+            query = localVariableQuery,
+            headers = localVariableHeaders,
+            requiresAuthentication = true,
+            body = localVariableBody,
+        )
+    }
+
+    /** enum for parameter order */
+    enum class OrderGetChatCompletionMessages(val value: kotlin.String) {
+        @Json(name = "asc") asc("asc"),
+        @Json(name = "desc") desc("desc");
+
+        /**
+         * Override [toString()] to avoid using the enum variable name as the
+         * value, and instead use the actual value defined in the API spec file.
+         *
+         * This solves a problem when the variable name and its value are
+         * different, and ensures that the client sends the correct enum values
+         * to the server always.
+         */
+        override fun toString(): kotlin.String = "$value"
+    }
+
+    /**
+     * GET /chat/completions/{completion_id}/messages Get the messages in a
+     * stored chat completion. Only Chat Completions that have been created with
+     * the &#x60;store&#x60; parameter set to &#x60;true&#x60; will be returned.
+     *
+     * @param completionId The ID of the chat completion to retrieve messages
+     *   from.
+     * @param after Identifier for the last message from the previous pagination
+     *   request. (optional)
+     * @param limit Number of messages to retrieve. (optional, default to 20)
+     * @param order Sort order for messages by timestamp. Use &#x60;asc&#x60;
+     *   for ascending order or &#x60;desc&#x60; for descending order. Defaults
+     *   to &#x60;asc&#x60;. (optional, default to asc)
+     * @return ChatCompletionMessageList
+     * @throws IllegalStateException If the request is not correctly configured
+     * @throws IOException Rethrows the OkHttp execute method exception
+     * @throws UnsupportedOperationException If the API returns an informational
+     *   or redirection response
+     * @throws ClientException If the API returns a client error response
+     * @throws ServerException If the API returns a server error response
+     */
+    @Suppress("UNCHECKED_CAST")
+    @Throws(
+        IllegalStateException::class,
+        IOException::class,
+        UnsupportedOperationException::class,
+        ClientException::class,
+        ServerException::class,
+    )
+    fun getChatCompletionMessages(
+        completionId: kotlin.String,
+        after: kotlin.String? = null,
+        limit: kotlin.Int? = 20,
+        order: OrderGetChatCompletionMessages? =
+            OrderGetChatCompletionMessages.asc,
+    ): ChatCompletionMessageList {
+        val localVarResponse =
+            getChatCompletionMessagesWithHttpInfo(
+                completionId = completionId,
+                after = after,
+                limit = limit,
+                order = order,
+            )
+
+        return when (localVarResponse.responseType) {
+            ResponseType.Success ->
+                (localVarResponse as Success<*>).data
+                    as ChatCompletionMessageList
+            ResponseType.Informational ->
+                throw UnsupportedOperationException(
+                    "Client does not support Informational responses."
+                )
+            ResponseType.Redirection ->
+                throw UnsupportedOperationException(
+                    "Client does not support Redirection responses."
+                )
+            ResponseType.ClientError -> {
+                val localVarError = localVarResponse as ClientError<*>
+                throw ClientException(
+                    "Client error : ${localVarError.statusCode} ${localVarError.message.orEmpty()}",
+                    localVarError.statusCode,
+                    localVarResponse,
+                )
+            }
+            ResponseType.ServerError -> {
+                val localVarError = localVarResponse as ServerError<*>
+                throw ServerException(
+                    "Server error : ${localVarError.statusCode} ${localVarError.message.orEmpty()} ${localVarError.body}",
+                    localVarError.statusCode,
+                    localVarResponse,
+                )
+            }
+        }
+    }
+
+    /**
+     * GET /chat/completions/{completion_id}/messages Get the messages in a
+     * stored chat completion. Only Chat Completions that have been created with
+     * the &#x60;store&#x60; parameter set to &#x60;true&#x60; will be returned.
+     *
+     * @param completionId The ID of the chat completion to retrieve messages
+     *   from.
+     * @param after Identifier for the last message from the previous pagination
+     *   request. (optional)
+     * @param limit Number of messages to retrieve. (optional, default to 20)
+     * @param order Sort order for messages by timestamp. Use &#x60;asc&#x60;
+     *   for ascending order or &#x60;desc&#x60; for descending order. Defaults
+     *   to &#x60;asc&#x60;. (optional, default to asc)
+     * @return ApiResponse<ChatCompletionMessageList?>
+     * @throws IllegalStateException If the request is not correctly configured
+     * @throws IOException Rethrows the OkHttp execute method exception
+     */
+    @Suppress("UNCHECKED_CAST")
+    @Throws(IllegalStateException::class, IOException::class)
+    fun getChatCompletionMessagesWithHttpInfo(
+        completionId: kotlin.String,
+        after: kotlin.String?,
+        limit: kotlin.Int?,
+        order: OrderGetChatCompletionMessages?,
+    ): ApiResponse<ChatCompletionMessageList?> {
+        val localVariableConfig =
+            getChatCompletionMessagesRequestConfig(
+                completionId = completionId,
+                after = after,
+                limit = limit,
+                order = order,
+            )
+
+        return request<Unit, ChatCompletionMessageList>(localVariableConfig)
+    }
+
+    /**
+     * To obtain the request config of the operation getChatCompletionMessages
+     *
+     * @param completionId The ID of the chat completion to retrieve messages
+     *   from.
+     * @param after Identifier for the last message from the previous pagination
+     *   request. (optional)
+     * @param limit Number of messages to retrieve. (optional, default to 20)
+     * @param order Sort order for messages by timestamp. Use &#x60;asc&#x60;
+     *   for ascending order or &#x60;desc&#x60; for descending order. Defaults
+     *   to &#x60;asc&#x60;. (optional, default to asc)
+     * @return RequestConfig
+     */
+    fun getChatCompletionMessagesRequestConfig(
+        completionId: kotlin.String,
+        after: kotlin.String?,
+        limit: kotlin.Int?,
+        order: OrderGetChatCompletionMessages?,
+    ): RequestConfig<Unit> {
+        val localVariableBody = null
+        val localVariableQuery: MultiValueMap =
+            mutableMapOf<
+                    kotlin.String,
+                    kotlin.collections.List<kotlin.String>,
+                >()
+                .apply {
+                    if (after != null) {
+                        put("after", listOf(after.toString()))
+                    }
+                    if (limit != null) {
+                        put("limit", listOf(limit.toString()))
+                    }
+                    if (order != null) {
+                        put("order", listOf(order.value))
+                    }
+                }
+        val localVariableHeaders: MutableMap<String, String> = mutableMapOf()
+        localVariableHeaders["Accept"] = "application/json"
+
+        return RequestConfig(
+            method = RequestMethod.GET,
+            path =
+                "/chat/completions/{completion_id}/messages"
+                    .replace(
+                        "{" + "completion_id" + "}",
+                        encodeURIComponent(completionId.toString()),
+                    ),
+            query = localVariableQuery,
+            headers = localVariableHeaders,
+            requiresAuthentication = true,
+            body = localVariableBody,
+        )
+    }
+
+    /** enum for parameter order */
+    enum class OrderListChatCompletions(val value: kotlin.String) {
+        @Json(name = "asc") asc("asc"),
+        @Json(name = "desc") desc("desc");
+
+        /**
+         * Override [toString()] to avoid using the enum variable name as the
+         * value, and instead use the actual value defined in the API spec file.
+         *
+         * This solves a problem when the variable name and its value are
+         * different, and ensures that the client sends the correct enum values
+         * to the server always.
+         */
+        override fun toString(): kotlin.String = "$value"
+    }
+
+    /**
+     * GET /chat/completions List stored Chat Completions. Only Chat Completions
+     * that have been stored with the &#x60;store&#x60; parameter set to
+     * &#x60;true&#x60; will be returned.
+     *
+     * @param model The model used to generate the Chat Completions. (optional)
+     * @param metadata A list of metadata keys to filter the Chat Completions
+     *   by. Example:
+     *   &#x60;metadata[key1]&#x3D;value1&amp;metadata[key2]&#x3D;value2&#x60;
+     *   (optional)
+     * @param after Identifier for the last chat completion from the previous
+     *   pagination request. (optional)
+     * @param limit Number of Chat Completions to retrieve. (optional, default
+     *   to 20)
+     * @param order Sort order for Chat Completions by timestamp. Use
+     *   &#x60;asc&#x60; for ascending order or &#x60;desc&#x60; for descending
+     *   order. Defaults to &#x60;asc&#x60;. (optional, default to asc)
+     * @return ChatCompletionList
+     * @throws IllegalStateException If the request is not correctly configured
+     * @throws IOException Rethrows the OkHttp execute method exception
+     * @throws UnsupportedOperationException If the API returns an informational
+     *   or redirection response
+     * @throws ClientException If the API returns a client error response
+     * @throws ServerException If the API returns a server error response
+     */
+    @Suppress("UNCHECKED_CAST")
+    @Throws(
+        IllegalStateException::class,
+        IOException::class,
+        UnsupportedOperationException::class,
+        ClientException::class,
+        ServerException::class,
+    )
+    fun listChatCompletions(
+        model: kotlin.String? = null,
+        metadata: kotlin.collections.Map<kotlin.String, kotlin.String>? = null,
+        after: kotlin.String? = null,
+        limit: kotlin.Int? = 20,
+        order: OrderListChatCompletions? = OrderListChatCompletions.asc,
+    ): ChatCompletionList {
+        val localVarResponse =
+            listChatCompletionsWithHttpInfo(
+                model = model,
+                metadata = metadata,
+                after = after,
+                limit = limit,
+                order = order,
+            )
+
+        return when (localVarResponse.responseType) {
+            ResponseType.Success ->
+                (localVarResponse as Success<*>).data as ChatCompletionList
+            ResponseType.Informational ->
+                throw UnsupportedOperationException(
+                    "Client does not support Informational responses."
+                )
+            ResponseType.Redirection ->
+                throw UnsupportedOperationException(
+                    "Client does not support Redirection responses."
+                )
+            ResponseType.ClientError -> {
+                val localVarError = localVarResponse as ClientError<*>
+                throw ClientException(
+                    "Client error : ${localVarError.statusCode} ${localVarError.message.orEmpty()}",
+                    localVarError.statusCode,
+                    localVarResponse,
+                )
+            }
+            ResponseType.ServerError -> {
+                val localVarError = localVarResponse as ServerError<*>
+                throw ServerException(
+                    "Server error : ${localVarError.statusCode} ${localVarError.message.orEmpty()} ${localVarError.body}",
+                    localVarError.statusCode,
+                    localVarResponse,
+                )
+            }
+        }
+    }
+
+    /**
+     * GET /chat/completions List stored Chat Completions. Only Chat Completions
+     * that have been stored with the &#x60;store&#x60; parameter set to
+     * &#x60;true&#x60; will be returned.
+     *
+     * @param model The model used to generate the Chat Completions. (optional)
+     * @param metadata A list of metadata keys to filter the Chat Completions
+     *   by. Example:
+     *   &#x60;metadata[key1]&#x3D;value1&amp;metadata[key2]&#x3D;value2&#x60;
+     *   (optional)
+     * @param after Identifier for the last chat completion from the previous
+     *   pagination request. (optional)
+     * @param limit Number of Chat Completions to retrieve. (optional, default
+     *   to 20)
+     * @param order Sort order for Chat Completions by timestamp. Use
+     *   &#x60;asc&#x60; for ascending order or &#x60;desc&#x60; for descending
+     *   order. Defaults to &#x60;asc&#x60;. (optional, default to asc)
+     * @return ApiResponse<ChatCompletionList?>
+     * @throws IllegalStateException If the request is not correctly configured
+     * @throws IOException Rethrows the OkHttp execute method exception
+     */
+    @Suppress("UNCHECKED_CAST")
+    @Throws(IllegalStateException::class, IOException::class)
+    fun listChatCompletionsWithHttpInfo(
+        model: kotlin.String?,
+        metadata: kotlin.collections.Map<kotlin.String, kotlin.String>?,
+        after: kotlin.String?,
+        limit: kotlin.Int?,
+        order: OrderListChatCompletions?,
+    ): ApiResponse<ChatCompletionList?> {
+        val localVariableConfig =
+            listChatCompletionsRequestConfig(
+                model = model,
+                metadata = metadata,
+                after = after,
+                limit = limit,
+                order = order,
+            )
+
+        return request<Unit, ChatCompletionList>(localVariableConfig)
+    }
+
+    /**
+     * To obtain the request config of the operation listChatCompletions
+     *
+     * @param model The model used to generate the Chat Completions. (optional)
+     * @param metadata A list of metadata keys to filter the Chat Completions
+     *   by. Example:
+     *   &#x60;metadata[key1]&#x3D;value1&amp;metadata[key2]&#x3D;value2&#x60;
+     *   (optional)
+     * @param after Identifier for the last chat completion from the previous
+     *   pagination request. (optional)
+     * @param limit Number of Chat Completions to retrieve. (optional, default
+     *   to 20)
+     * @param order Sort order for Chat Completions by timestamp. Use
+     *   &#x60;asc&#x60; for ascending order or &#x60;desc&#x60; for descending
+     *   order. Defaults to &#x60;asc&#x60;. (optional, default to asc)
+     * @return RequestConfig
+     */
+    fun listChatCompletionsRequestConfig(
+        model: kotlin.String?,
+        metadata: kotlin.collections.Map<kotlin.String, kotlin.String>?,
+        after: kotlin.String?,
+        limit: kotlin.Int?,
+        order: OrderListChatCompletions?,
+    ): RequestConfig<Unit> {
+        val localVariableBody = null
+        val localVariableQuery: MultiValueMap =
+            mutableMapOf<
+                    kotlin.String,
+                    kotlin.collections.List<kotlin.String>,
+                >()
+                .apply {
+                    if (model != null) {
+                        put("model", listOf(model.toString()))
+                    }
+                    if (metadata != null) {
+                        put("metadata", toMultiValue(metadata.toList(), ""))
+                    }
+                    if (after != null) {
+                        put("after", listOf(after.toString()))
+                    }
+                    if (limit != null) {
+                        put("limit", listOf(limit.toString()))
+                    }
+                    if (order != null) {
+                        put("order", listOf(order.value))
+                    }
+                }
+        val localVariableHeaders: MutableMap<String, String> = mutableMapOf()
+        localVariableHeaders["Accept"] = "application/json"
+
+        return RequestConfig(
+            method = RequestMethod.GET,
+            path = "/chat/completions",
+            query = localVariableQuery,
+            headers = localVariableHeaders,
+            requiresAuthentication = true,
+            body = localVariableBody,
+        )
+    }
+
+    /**
+     * POST /chat/completions/{completion_id} Modify a stored chat completion.
+     * Only Chat Completions that have been created with the &#x60;store&#x60;
+     * parameter set to &#x60;true&#x60; can be modified. Currently, the only
+     * supported modification is to update the &#x60;metadata&#x60; field.
+     *
+     * @param completionId The ID of the chat completion to update.
+     * @param updateChatCompletionRequest
+     * @return CreateChatCompletionResponse
+     * @throws IllegalStateException If the request is not correctly configured
+     * @throws IOException Rethrows the OkHttp execute method exception
+     * @throws UnsupportedOperationException If the API returns an informational
+     *   or redirection response
+     * @throws ClientException If the API returns a client error response
+     * @throws ServerException If the API returns a server error response
+     */
+    @Suppress("UNCHECKED_CAST")
+    @Throws(
+        IllegalStateException::class,
+        IOException::class,
+        UnsupportedOperationException::class,
+        ClientException::class,
+        ServerException::class,
+    )
+    fun updateChatCompletion(
+        completionId: kotlin.String,
+        updateChatCompletionRequest: UpdateChatCompletionRequest,
+    ): CreateChatCompletionResponse {
+        val localVarResponse =
+            updateChatCompletionWithHttpInfo(
+                completionId = completionId,
+                updateChatCompletionRequest = updateChatCompletionRequest,
+            )
+
+        return when (localVarResponse.responseType) {
+            ResponseType.Success ->
+                (localVarResponse as Success<*>).data
+                    as CreateChatCompletionResponse
+            ResponseType.Informational ->
+                throw UnsupportedOperationException(
+                    "Client does not support Informational responses."
+                )
+            ResponseType.Redirection ->
+                throw UnsupportedOperationException(
+                    "Client does not support Redirection responses."
+                )
+            ResponseType.ClientError -> {
+                val localVarError = localVarResponse as ClientError<*>
+                throw ClientException(
+                    "Client error : ${localVarError.statusCode} ${localVarError.message.orEmpty()}",
+                    localVarError.statusCode,
+                    localVarResponse,
+                )
+            }
+            ResponseType.ServerError -> {
+                val localVarError = localVarResponse as ServerError<*>
+                throw ServerException(
+                    "Server error : ${localVarError.statusCode} ${localVarError.message.orEmpty()} ${localVarError.body}",
+                    localVarError.statusCode,
+                    localVarResponse,
+                )
+            }
+        }
+    }
+
+    /**
+     * POST /chat/completions/{completion_id} Modify a stored chat completion.
+     * Only Chat Completions that have been created with the &#x60;store&#x60;
+     * parameter set to &#x60;true&#x60; can be modified. Currently, the only
+     * supported modification is to update the &#x60;metadata&#x60; field.
+     *
+     * @param completionId The ID of the chat completion to update.
+     * @param updateChatCompletionRequest
+     * @return ApiResponse<CreateChatCompletionResponse?>
+     * @throws IllegalStateException If the request is not correctly configured
+     * @throws IOException Rethrows the OkHttp execute method exception
+     */
+    @Suppress("UNCHECKED_CAST")
+    @Throws(IllegalStateException::class, IOException::class)
+    fun updateChatCompletionWithHttpInfo(
+        completionId: kotlin.String,
+        updateChatCompletionRequest: UpdateChatCompletionRequest,
+    ): ApiResponse<CreateChatCompletionResponse?> {
+        val localVariableConfig =
+            updateChatCompletionRequestConfig(
+                completionId = completionId,
+                updateChatCompletionRequest = updateChatCompletionRequest,
+            )
+
+        return request<
+            UpdateChatCompletionRequest,
+            CreateChatCompletionResponse,
+        >(
+            localVariableConfig
+        )
+    }
+
+    /**
+     * To obtain the request config of the operation updateChatCompletion
+     *
+     * @param completionId The ID of the chat completion to update.
+     * @param updateChatCompletionRequest
+     * @return RequestConfig
+     */
+    fun updateChatCompletionRequestConfig(
+        completionId: kotlin.String,
+        updateChatCompletionRequest: UpdateChatCompletionRequest,
+    ): RequestConfig<UpdateChatCompletionRequest> {
+        val localVariableBody = updateChatCompletionRequest
+        val localVariableQuery: MultiValueMap = mutableMapOf()
+        val localVariableHeaders: MutableMap<String, String> = mutableMapOf()
+        localVariableHeaders["Content-Type"] = "application/json"
+        localVariableHeaders["Accept"] = "application/json"
+
+        return RequestConfig(
+            method = RequestMethod.POST,
+            path =
+                "/chat/completions/{completion_id}"
+                    .replace(
+                        "{" + "completion_id" + "}",
+                        encodeURIComponent(completionId.toString()),
+                    ),
+            query = localVariableQuery,
+            headers = localVariableHeaders,
+            requiresAuthentication = true,
+            body = localVariableBody,
+        )
+    }
+
     private fun encodeURIComponent(uriComponent: kotlin.String): kotlin.String =
         HttpUrl.Builder()
             .scheme("http")
diff --git a/lib/src/main/kotlin/com/openai/apis/CompletionsApi.kt b/lib/src/main/kotlin/com/openai/apis/CompletionsApi.kt
index d0fde879..568d102f 100644
--- a/lib/src/main/kotlin/com/openai/apis/CompletionsApi.kt
+++ b/lib/src/main/kotlin/com/openai/apis/CompletionsApi.kt
@@ -41,7 +41,8 @@ class CompletionsApi(
     }
 
     /**
-     * Creates a completion for the provided prompt and parameters.
+     * POST /completions Creates a completion for the provided prompt and
+     * parameters.
      *
      * @param createCompletionRequest
      * @return CreateCompletionResponse
@@ -100,7 +101,8 @@ class CompletionsApi(
     }
 
     /**
-     * Creates a completion for the provided prompt and parameters.
+     * POST /completions Creates a completion for the provided prompt and
+     * parameters.
      *
      * @param createCompletionRequest
      * @return ApiResponse<CreateCompletionResponse?>
diff --git a/lib/src/main/kotlin/com/openai/apis/DefaultApi.kt b/lib/src/main/kotlin/com/openai/apis/DefaultApi.kt
index 374599e2..093c956f 100644
--- a/lib/src/main/kotlin/com/openai/apis/DefaultApi.kt
+++ b/lib/src/main/kotlin/com/openai/apis/DefaultApi.kt
@@ -44,8 +44,8 @@ class DefaultApi(
     }
 
     /**
-     * Create an organization admin API key Create a new admin-level API key for
-     * the organization.
+     * POST /organization/admin_api_keys Create an organization admin API key
+     * Create a new admin-level API key for the organization.
      *
      * @param adminApiKeysCreateRequest
      * @return AdminApiKey
@@ -103,8 +103,8 @@ class DefaultApi(
     }
 
     /**
-     * Create an organization admin API key Create a new admin-level API key for
-     * the organization.
+     * POST /organization/admin_api_keys Create an organization admin API key
+     * Create a new admin-level API key for the organization.
      *
      * @param adminApiKeysCreateRequest
      * @return ApiResponse<AdminApiKey?>
@@ -152,7 +152,8 @@ class DefaultApi(
     }
 
     /**
-     * Delete an organization admin API key Delete the specified admin API key.
+     * DELETE /organization/admin_api_keys/{key_id} Delete an organization admin
+     * API key Delete the specified admin API key.
      *
      * @param keyId
      * @return AdminApiKeysDelete200Response
@@ -208,7 +209,8 @@ class DefaultApi(
     }
 
     /**
-     * Delete an organization admin API key Delete the specified admin API key.
+     * DELETE /organization/admin_api_keys/{key_id} Delete an organization admin
+     * API key Delete the specified admin API key.
      *
      * @param keyId
      * @return ApiResponse<AdminApiKeysDelete200Response?>
@@ -255,8 +257,8 @@ class DefaultApi(
     }
 
     /**
-     * Retrieve a single organization API key Get details for a specific
-     * organization API key by its ID.
+     * GET /organization/admin_api_keys/{key_id} Retrieve a single organization
+     * API key Get details for a specific organization API key by its ID.
      *
      * @param keyId
      * @return AdminApiKey
@@ -309,8 +311,8 @@ class DefaultApi(
     }
 
     /**
-     * Retrieve a single organization API key Get details for a specific
-     * organization API key by its ID.
+     * GET /organization/admin_api_keys/{key_id} Retrieve a single organization
+     * API key Get details for a specific organization API key by its ID.
      *
      * @param keyId
      * @return ApiResponse<AdminApiKey?>
@@ -373,8 +375,8 @@ class DefaultApi(
     }
 
     /**
-     * List organization API keys Retrieve a paginated list of organization
-     * admin API keys.
+     * GET /organization/admin_api_keys List organization API keys Retrieve a
+     * paginated list of organization admin API keys.
      *
      * @param after (optional)
      * @param order (optional, default to asc)
@@ -438,8 +440,8 @@ class DefaultApi(
     }
 
     /**
-     * List organization API keys Retrieve a paginated list of organization
-     * admin API keys.
+     * GET /organization/admin_api_keys List organization API keys Retrieve a
+     * paginated list of organization admin API keys.
      *
      * @param after (optional)
      * @param order (optional, default to asc)
diff --git a/lib/src/main/kotlin/com/openai/apis/EmbeddingsApi.kt b/lib/src/main/kotlin/com/openai/apis/EmbeddingsApi.kt
index b2aa7142..e7bbf5f1 100644
--- a/lib/src/main/kotlin/com/openai/apis/EmbeddingsApi.kt
+++ b/lib/src/main/kotlin/com/openai/apis/EmbeddingsApi.kt
@@ -41,7 +41,7 @@ class EmbeddingsApi(
     }
 
     /**
-     * Creates an embedding vector representing the input text.
+     * POST /embeddings Creates an embedding vector representing the input text.
      *
      * @param createEmbeddingRequest
      * @return CreateEmbeddingResponse
@@ -99,7 +99,7 @@ class EmbeddingsApi(
     }
 
     /**
-     * Creates an embedding vector representing the input text.
+     * POST /embeddings Creates an embedding vector representing the input text.
      *
      * @param createEmbeddingRequest
      * @return ApiResponse<CreateEmbeddingResponse?>
diff --git a/lib/src/main/kotlin/com/openai/apis/FilesApi.kt b/lib/src/main/kotlin/com/openai/apis/FilesApi.kt
index 12ff0420..b9e9f3eb 100644
--- a/lib/src/main/kotlin/com/openai/apis/FilesApi.kt
+++ b/lib/src/main/kotlin/com/openai/apis/FilesApi.kt
@@ -48,7 +48,9 @@ class FilesApi(
         @Json(name = "assistants") assistants("assistants"),
         @Json(name = "batch") batch("batch"),
         @Json(name = "fine-tune") fineMinusTune("fine-tune"),
-        @Json(name = "vision") vision("vision");
+        @Json(name = "vision") vision("vision"),
+        @Json(name = "user_data") user_data("user_data"),
+        @Json(name = "evals") evals("evals");
 
         /**
          * Override [toString()] to avoid using the enum variable name as the
@@ -62,10 +64,10 @@ class FilesApi(
     }
 
     /**
-     * Upload a file that can be used across various endpoints. Individual files
-     * can be up to 512 MB, and the size of all files uploaded by one
-     * organization can be up to 100 GB. The Assistants API supports files up to
-     * 2 million tokens and of specific file types. See the
+     * POST /files Upload a file that can be used across various endpoints.
+     * Individual files can be up to 512 MB, and the size of all files uploaded
+     * by one organization can be up to 100 GB. The Assistants API supports
+     * files up to 2 million tokens and of specific file types. See the
      * [Assistants Tools guide](/docs/assistants/tools) for details. The
      * Fine-tuning API only supports &#x60;.jsonl&#x60; files. The input also
      * has certain required formats for fine-tuning
@@ -78,13 +80,12 @@ class FilesApi(
      * storage limits.
      *
      * @param file The File object (not file name) to be uploaded.
-     * @param purpose The intended purpose of the uploaded file. Use
-     *   \\\&quot;assistants\\\&quot; for
-     *   [Assistants](/docs/api-reference/assistants) and
-     *   [Message](/docs/api-reference/messages) files, \\\&quot;vision\\\&quot;
-     *   for Assistants image file inputs, \\\&quot;batch\\\&quot; for
-     *   [Batch API](/docs/guides/batch), and \\\&quot;fine-tune\\\&quot; for
-     *   [Fine-tuning](/docs/api-reference/fine-tuning).
+     * @param purpose The intended purpose of the uploaded file. One of: -
+     *   &#x60;assistants&#x60;: Used in the Assistants API - &#x60;batch&#x60;:
+     *   Used in the Batch API - &#x60;fine-tune&#x60;: Used for fine-tuning -
+     *   &#x60;vision&#x60;: Images used for vision fine-tuning -
+     *   &#x60;user_data&#x60;: Flexible file type for any purpose -
+     *   &#x60;evals&#x60;: Used for eval data sets
      * @return OpenAIFile
      * @throws IllegalStateException If the request is not correctly configured
      * @throws IOException Rethrows the OkHttp execute method exception
@@ -136,10 +137,10 @@ class FilesApi(
     }
 
     /**
-     * Upload a file that can be used across various endpoints. Individual files
-     * can be up to 512 MB, and the size of all files uploaded by one
-     * organization can be up to 100 GB. The Assistants API supports files up to
-     * 2 million tokens and of specific file types. See the
+     * POST /files Upload a file that can be used across various endpoints.
+     * Individual files can be up to 512 MB, and the size of all files uploaded
+     * by one organization can be up to 100 GB. The Assistants API supports
+     * files up to 2 million tokens and of specific file types. See the
      * [Assistants Tools guide](/docs/assistants/tools) for details. The
      * Fine-tuning API only supports &#x60;.jsonl&#x60; files. The input also
      * has certain required formats for fine-tuning
@@ -152,13 +153,12 @@ class FilesApi(
      * storage limits.
      *
      * @param file The File object (not file name) to be uploaded.
-     * @param purpose The intended purpose of the uploaded file. Use
-     *   \\\&quot;assistants\\\&quot; for
-     *   [Assistants](/docs/api-reference/assistants) and
-     *   [Message](/docs/api-reference/messages) files, \\\&quot;vision\\\&quot;
-     *   for Assistants image file inputs, \\\&quot;batch\\\&quot; for
-     *   [Batch API](/docs/guides/batch), and \\\&quot;fine-tune\\\&quot; for
-     *   [Fine-tuning](/docs/api-reference/fine-tuning).
+     * @param purpose The intended purpose of the uploaded file. One of: -
+     *   &#x60;assistants&#x60;: Used in the Assistants API - &#x60;batch&#x60;:
+     *   Used in the Batch API - &#x60;fine-tune&#x60;: Used for fine-tuning -
+     *   &#x60;vision&#x60;: Images used for vision fine-tuning -
+     *   &#x60;user_data&#x60;: Flexible file type for any purpose -
+     *   &#x60;evals&#x60;: Used for eval data sets
      * @return ApiResponse<OpenAIFile?>
      * @throws IllegalStateException If the request is not correctly configured
      * @throws IOException Rethrows the OkHttp execute method exception
@@ -181,13 +181,12 @@ class FilesApi(
      * To obtain the request config of the operation createFile
      *
      * @param file The File object (not file name) to be uploaded.
-     * @param purpose The intended purpose of the uploaded file. Use
-     *   \\\&quot;assistants\\\&quot; for
-     *   [Assistants](/docs/api-reference/assistants) and
-     *   [Message](/docs/api-reference/messages) files, \\\&quot;vision\\\&quot;
-     *   for Assistants image file inputs, \\\&quot;batch\\\&quot; for
-     *   [Batch API](/docs/guides/batch), and \\\&quot;fine-tune\\\&quot; for
-     *   [Fine-tuning](/docs/api-reference/fine-tuning).
+     * @param purpose The intended purpose of the uploaded file. One of: -
+     *   &#x60;assistants&#x60;: Used in the Assistants API - &#x60;batch&#x60;:
+     *   Used in the Batch API - &#x60;fine-tune&#x60;: Used for fine-tuning -
+     *   &#x60;vision&#x60;: Images used for vision fine-tuning -
+     *   &#x60;user_data&#x60;: Flexible file type for any purpose -
+     *   &#x60;evals&#x60;: Used for eval data sets
      * @return RequestConfig
      */
     fun createFileRequestConfig(
@@ -216,7 +215,7 @@ class FilesApi(
     }
 
     /**
-     * Delete a file.
+     * DELETE /files/{file_id} Delete a file.
      *
      * @param fileId The ID of the file to use for this request.
      * @return DeleteFileResponse
@@ -269,7 +268,7 @@ class FilesApi(
     }
 
     /**
-     * Delete a file.
+     * DELETE /files/{file_id} Delete a file.
      *
      * @param fileId The ID of the file to use for this request.
      * @return ApiResponse<DeleteFileResponse?>
@@ -314,7 +313,7 @@ class FilesApi(
     }
 
     /**
-     * Returns the contents of the specified file.
+     * GET /files/{file_id}/content Returns the contents of the specified file.
      *
      * @param fileId The ID of the file to use for this request.
      * @return kotlin.String
@@ -367,7 +366,7 @@ class FilesApi(
     }
 
     /**
-     * Returns the contents of the specified file.
+     * GET /files/{file_id}/content Returns the contents of the specified file.
      *
      * @param fileId The ID of the file to use for this request.
      * @return ApiResponse<kotlin.String?>
@@ -428,7 +427,7 @@ class FilesApi(
     }
 
     /**
-     * Returns a list of files.
+     * GET /files Returns a list of files.
      *
      * @param purpose Only return files with the given purpose. (optional)
      * @param limit A limit on the number of objects to be returned. Limit can
@@ -503,7 +502,7 @@ class FilesApi(
     }
 
     /**
-     * Returns a list of files.
+     * GET /files Returns a list of files.
      *
      * @param purpose Only return files with the given purpose. (optional)
      * @param limit A limit on the number of objects to be returned. Limit can
@@ -597,7 +596,7 @@ class FilesApi(
     }
 
     /**
-     * Returns information about a specific file.
+     * GET /files/{file_id} Returns information about a specific file.
      *
      * @param fileId The ID of the file to use for this request.
      * @return OpenAIFile
@@ -650,7 +649,7 @@ class FilesApi(
     }
 
     /**
-     * Returns information about a specific file.
+     * GET /files/{file_id} Returns information about a specific file.
      *
      * @param fileId The ID of the file to use for this request.
      * @return ApiResponse<OpenAIFile?>
diff --git a/lib/src/main/kotlin/com/openai/apis/FineTuningApi.kt b/lib/src/main/kotlin/com/openai/apis/FineTuningApi.kt
index 5ce1ac6b..80cadbc0 100644
--- a/lib/src/main/kotlin/com/openai/apis/FineTuningApi.kt
+++ b/lib/src/main/kotlin/com/openai/apis/FineTuningApi.kt
@@ -22,11 +22,16 @@ import com.openai.infrastructure.ResponseType
 import com.openai.infrastructure.ServerError
 import com.openai.infrastructure.ServerException
 import com.openai.infrastructure.Success
+import com.openai.infrastructure.toMultiValue
+import com.openai.models.CreateFineTuningCheckpointPermissionRequest
 import com.openai.models.CreateFineTuningJobRequest
+import com.openai.models.DeleteFineTuningCheckpointPermissionResponse
 import com.openai.models.FineTuningJob
+import com.openai.models.ListFineTuningCheckpointPermissionResponse
 import com.openai.models.ListFineTuningJobCheckpointsResponse
 import com.openai.models.ListFineTuningJobEventsResponse
 import com.openai.models.ListPaginatedFineTuningJobsResponse
+import com.squareup.moshi.Json
 import java.io.IOException
 import okhttp3.Call
 import okhttp3.HttpUrl
@@ -44,7 +49,8 @@ class FineTuningApi(
     }
 
     /**
-     * Immediately cancel a fine-tune job.
+     * POST /fine_tuning/jobs/{fine_tuning_job_id}/cancel Immediately cancel a
+     * fine-tune job.
      *
      * @param fineTuningJobId The ID of the fine-tuning job to cancel.
      * @return FineTuningJob
@@ -98,7 +104,8 @@ class FineTuningApi(
     }
 
     /**
-     * Immediately cancel a fine-tune job.
+     * POST /fine_tuning/jobs/{fine_tuning_job_id}/cancel Immediately cancel a
+     * fine-tune job.
      *
      * @param fineTuningJobId The ID of the fine-tuning job to cancel.
      * @return ApiResponse<FineTuningJob?>
@@ -146,9 +153,148 @@ class FineTuningApi(
     }
 
     /**
-     * Creates a fine-tuning job which begins the process of creating a new
-     * model from a given dataset. Response includes details of the enqueued job
-     * including job status and the name of the fine-tuned models once complete.
+     * POST /fine_tuning/checkpoints/{permission_id}/permissions **NOTE:**
+     * Calling this endpoint requires an [admin API key](../admin-api-keys).
+     * This enables organization owners to share fine-tuned models with other
+     * projects in their organization.
+     *
+     * @param permissionId The ID of the fine-tuned model checkpoint to create a
+     *   permission for.
+     * @param createFineTuningCheckpointPermissionRequest
+     * @return ListFineTuningCheckpointPermissionResponse
+     * @throws IllegalStateException If the request is not correctly configured
+     * @throws IOException Rethrows the OkHttp execute method exception
+     * @throws UnsupportedOperationException If the API returns an informational
+     *   or redirection response
+     * @throws ClientException If the API returns a client error response
+     * @throws ServerException If the API returns a server error response
+     */
+    @Suppress("UNCHECKED_CAST")
+    @Throws(
+        IllegalStateException::class,
+        IOException::class,
+        UnsupportedOperationException::class,
+        ClientException::class,
+        ServerException::class,
+    )
+    fun createFineTuningCheckpointPermission(
+        permissionId: kotlin.String,
+        createFineTuningCheckpointPermissionRequest:
+            CreateFineTuningCheckpointPermissionRequest,
+    ): ListFineTuningCheckpointPermissionResponse {
+        val localVarResponse =
+            createFineTuningCheckpointPermissionWithHttpInfo(
+                permissionId = permissionId,
+                createFineTuningCheckpointPermissionRequest =
+                    createFineTuningCheckpointPermissionRequest,
+            )
+
+        return when (localVarResponse.responseType) {
+            ResponseType.Success ->
+                (localVarResponse as Success<*>).data
+                    as ListFineTuningCheckpointPermissionResponse
+            ResponseType.Informational ->
+                throw UnsupportedOperationException(
+                    "Client does not support Informational responses."
+                )
+            ResponseType.Redirection ->
+                throw UnsupportedOperationException(
+                    "Client does not support Redirection responses."
+                )
+            ResponseType.ClientError -> {
+                val localVarError = localVarResponse as ClientError<*>
+                throw ClientException(
+                    "Client error : ${localVarError.statusCode} ${localVarError.message.orEmpty()}",
+                    localVarError.statusCode,
+                    localVarResponse,
+                )
+            }
+            ResponseType.ServerError -> {
+                val localVarError = localVarResponse as ServerError<*>
+                throw ServerException(
+                    "Server error : ${localVarError.statusCode} ${localVarError.message.orEmpty()} ${localVarError.body}",
+                    localVarError.statusCode,
+                    localVarResponse,
+                )
+            }
+        }
+    }
+
+    /**
+     * POST /fine_tuning/checkpoints/{permission_id}/permissions **NOTE:**
+     * Calling this endpoint requires an [admin API key](../admin-api-keys).
+     * This enables organization owners to share fine-tuned models with other
+     * projects in their organization.
+     *
+     * @param permissionId The ID of the fine-tuned model checkpoint to create a
+     *   permission for.
+     * @param createFineTuningCheckpointPermissionRequest
+     * @return ApiResponse<ListFineTuningCheckpointPermissionResponse?>
+     * @throws IllegalStateException If the request is not correctly configured
+     * @throws IOException Rethrows the OkHttp execute method exception
+     */
+    @Suppress("UNCHECKED_CAST")
+    @Throws(IllegalStateException::class, IOException::class)
+    fun createFineTuningCheckpointPermissionWithHttpInfo(
+        permissionId: kotlin.String,
+        createFineTuningCheckpointPermissionRequest:
+            CreateFineTuningCheckpointPermissionRequest,
+    ): ApiResponse<ListFineTuningCheckpointPermissionResponse?> {
+        val localVariableConfig =
+            createFineTuningCheckpointPermissionRequestConfig(
+                permissionId = permissionId,
+                createFineTuningCheckpointPermissionRequest =
+                    createFineTuningCheckpointPermissionRequest,
+            )
+
+        return request<
+            CreateFineTuningCheckpointPermissionRequest,
+            ListFineTuningCheckpointPermissionResponse,
+        >(
+            localVariableConfig
+        )
+    }
+
+    /**
+     * To obtain the request config of the operation
+     * createFineTuningCheckpointPermission
+     *
+     * @param permissionId The ID of the fine-tuned model checkpoint to create a
+     *   permission for.
+     * @param createFineTuningCheckpointPermissionRequest
+     * @return RequestConfig
+     */
+    fun createFineTuningCheckpointPermissionRequestConfig(
+        permissionId: kotlin.String,
+        createFineTuningCheckpointPermissionRequest:
+            CreateFineTuningCheckpointPermissionRequest,
+    ): RequestConfig<CreateFineTuningCheckpointPermissionRequest> {
+        val localVariableBody = createFineTuningCheckpointPermissionRequest
+        val localVariableQuery: MultiValueMap = mutableMapOf()
+        val localVariableHeaders: MutableMap<String, String> = mutableMapOf()
+        localVariableHeaders["Content-Type"] = "application/json"
+        localVariableHeaders["Accept"] = "application/json"
+
+        return RequestConfig(
+            method = RequestMethod.POST,
+            path =
+                "/fine_tuning/checkpoints/{permission_id}/permissions"
+                    .replace(
+                        "{" + "permission_id" + "}",
+                        encodeURIComponent(permissionId.toString()),
+                    ),
+            query = localVariableQuery,
+            headers = localVariableHeaders,
+            requiresAuthentication = true,
+            body = localVariableBody,
+        )
+    }
+
+    /**
+     * POST /fine_tuning/jobs Creates a fine-tuning job which begins the process
+     * of creating a new model from a given dataset. Response includes details
+     * of the enqueued job including job status and the name of the fine-tuned
+     * models once complete.
      * [Learn more about fine-tuning](/docs/guides/fine-tuning)
      *
      * @param createFineTuningJobRequest
@@ -207,9 +353,10 @@ class FineTuningApi(
     }
 
     /**
-     * Creates a fine-tuning job which begins the process of creating a new
-     * model from a given dataset. Response includes details of the enqueued job
-     * including job status and the name of the fine-tuned models once complete.
+     * POST /fine_tuning/jobs Creates a fine-tuning job which begins the process
+     * of creating a new model from a given dataset. Response includes details
+     * of the enqueued job including job status and the name of the fine-tuned
+     * models once complete.
      * [Learn more about fine-tuning](/docs/guides/fine-tuning)
      *
      * @param createFineTuningJobRequest
@@ -258,7 +405,325 @@ class FineTuningApi(
     }
 
     /**
-     * Get status updates for a fine-tuning job.
+     * DELETE /fine_tuning/checkpoints/{permission_id}/permissions **NOTE:**
+     * This endpoint requires an [admin API key](../admin-api-keys).
+     * Organization owners can use this endpoint to delete a permission for a
+     * fine-tuned model checkpoint.
+     *
+     * @param permissionId The ID of the fine-tuned model checkpoint permission
+     *   to delete.
+     * @return DeleteFineTuningCheckpointPermissionResponse
+     * @throws IllegalStateException If the request is not correctly configured
+     * @throws IOException Rethrows the OkHttp execute method exception
+     * @throws UnsupportedOperationException If the API returns an informational
+     *   or redirection response
+     * @throws ClientException If the API returns a client error response
+     * @throws ServerException If the API returns a server error response
+     */
+    @Suppress("UNCHECKED_CAST")
+    @Throws(
+        IllegalStateException::class,
+        IOException::class,
+        UnsupportedOperationException::class,
+        ClientException::class,
+        ServerException::class,
+    )
+    fun deleteFineTuningCheckpointPermission(
+        permissionId: kotlin.String
+    ): DeleteFineTuningCheckpointPermissionResponse {
+        val localVarResponse =
+            deleteFineTuningCheckpointPermissionWithHttpInfo(
+                permissionId = permissionId
+            )
+
+        return when (localVarResponse.responseType) {
+            ResponseType.Success ->
+                (localVarResponse as Success<*>).data
+                    as DeleteFineTuningCheckpointPermissionResponse
+            ResponseType.Informational ->
+                throw UnsupportedOperationException(
+                    "Client does not support Informational responses."
+                )
+            ResponseType.Redirection ->
+                throw UnsupportedOperationException(
+                    "Client does not support Redirection responses."
+                )
+            ResponseType.ClientError -> {
+                val localVarError = localVarResponse as ClientError<*>
+                throw ClientException(
+                    "Client error : ${localVarError.statusCode} ${localVarError.message.orEmpty()}",
+                    localVarError.statusCode,
+                    localVarResponse,
+                )
+            }
+            ResponseType.ServerError -> {
+                val localVarError = localVarResponse as ServerError<*>
+                throw ServerException(
+                    "Server error : ${localVarError.statusCode} ${localVarError.message.orEmpty()} ${localVarError.body}",
+                    localVarError.statusCode,
+                    localVarResponse,
+                )
+            }
+        }
+    }
+
+    /**
+     * DELETE /fine_tuning/checkpoints/{permission_id}/permissions **NOTE:**
+     * This endpoint requires an [admin API key](../admin-api-keys).
+     * Organization owners can use this endpoint to delete a permission for a
+     * fine-tuned model checkpoint.
+     *
+     * @param permissionId The ID of the fine-tuned model checkpoint permission
+     *   to delete.
+     * @return ApiResponse<DeleteFineTuningCheckpointPermissionResponse?>
+     * @throws IllegalStateException If the request is not correctly configured
+     * @throws IOException Rethrows the OkHttp execute method exception
+     */
+    @Suppress("UNCHECKED_CAST")
+    @Throws(IllegalStateException::class, IOException::class)
+    fun deleteFineTuningCheckpointPermissionWithHttpInfo(
+        permissionId: kotlin.String
+    ): ApiResponse<DeleteFineTuningCheckpointPermissionResponse?> {
+        val localVariableConfig =
+            deleteFineTuningCheckpointPermissionRequestConfig(
+                permissionId = permissionId
+            )
+
+        return request<Unit, DeleteFineTuningCheckpointPermissionResponse>(
+            localVariableConfig
+        )
+    }
+
+    /**
+     * To obtain the request config of the operation
+     * deleteFineTuningCheckpointPermission
+     *
+     * @param permissionId The ID of the fine-tuned model checkpoint permission
+     *   to delete.
+     * @return RequestConfig
+     */
+    fun deleteFineTuningCheckpointPermissionRequestConfig(
+        permissionId: kotlin.String
+    ): RequestConfig<Unit> {
+        val localVariableBody = null
+        val localVariableQuery: MultiValueMap = mutableMapOf()
+        val localVariableHeaders: MutableMap<String, String> = mutableMapOf()
+        localVariableHeaders["Accept"] = "application/json"
+
+        return RequestConfig(
+            method = RequestMethod.DELETE,
+            path =
+                "/fine_tuning/checkpoints/{permission_id}/permissions"
+                    .replace(
+                        "{" + "permission_id" + "}",
+                        encodeURIComponent(permissionId.toString()),
+                    ),
+            query = localVariableQuery,
+            headers = localVariableHeaders,
+            requiresAuthentication = true,
+            body = localVariableBody,
+        )
+    }
+
+    /** enum for parameter order */
+    enum class OrderListFineTuningCheckpointPermissions(
+        val value: kotlin.String
+    ) {
+        @Json(name = "ascending") ascending("ascending"),
+        @Json(name = "descending") descending("descending");
+
+        /**
+         * Override [toString()] to avoid using the enum variable name as the
+         * value, and instead use the actual value defined in the API spec file.
+         *
+         * This solves a problem when the variable name and its value are
+         * different, and ensures that the client sends the correct enum values
+         * to the server always.
+         */
+        override fun toString(): kotlin.String = "$value"
+    }
+
+    /**
+     * GET /fine_tuning/checkpoints/{permission_id}/permissions **NOTE:** This
+     * endpoint requires an [admin API key](../admin-api-keys). Organization
+     * owners can use this endpoint to view all permissions for a fine-tuned
+     * model checkpoint.
+     *
+     * @param permissionId The ID of the fine-tuned model checkpoint to get
+     *   permissions for.
+     * @param projectId The ID of the project to get permissions for. (optional)
+     * @param after Identifier for the last permission ID from the previous
+     *   pagination request. (optional)
+     * @param limit Number of permissions to retrieve. (optional, default to 10)
+     * @param order The order in which to retrieve permissions. (optional,
+     *   default to descending)
+     * @return ListFineTuningCheckpointPermissionResponse
+     * @throws IllegalStateException If the request is not correctly configured
+     * @throws IOException Rethrows the OkHttp execute method exception
+     * @throws UnsupportedOperationException If the API returns an informational
+     *   or redirection response
+     * @throws ClientException If the API returns a client error response
+     * @throws ServerException If the API returns a server error response
+     */
+    @Suppress("UNCHECKED_CAST")
+    @Throws(
+        IllegalStateException::class,
+        IOException::class,
+        UnsupportedOperationException::class,
+        ClientException::class,
+        ServerException::class,
+    )
+    fun listFineTuningCheckpointPermissions(
+        permissionId: kotlin.String,
+        projectId: kotlin.String? = null,
+        after: kotlin.String? = null,
+        limit: kotlin.Int? = 10,
+        order: OrderListFineTuningCheckpointPermissions? =
+            OrderListFineTuningCheckpointPermissions.descending,
+    ): ListFineTuningCheckpointPermissionResponse {
+        val localVarResponse =
+            listFineTuningCheckpointPermissionsWithHttpInfo(
+                permissionId = permissionId,
+                projectId = projectId,
+                after = after,
+                limit = limit,
+                order = order,
+            )
+
+        return when (localVarResponse.responseType) {
+            ResponseType.Success ->
+                (localVarResponse as Success<*>).data
+                    as ListFineTuningCheckpointPermissionResponse
+            ResponseType.Informational ->
+                throw UnsupportedOperationException(
+                    "Client does not support Informational responses."
+                )
+            ResponseType.Redirection ->
+                throw UnsupportedOperationException(
+                    "Client does not support Redirection responses."
+                )
+            ResponseType.ClientError -> {
+                val localVarError = localVarResponse as ClientError<*>
+                throw ClientException(
+                    "Client error : ${localVarError.statusCode} ${localVarError.message.orEmpty()}",
+                    localVarError.statusCode,
+                    localVarResponse,
+                )
+            }
+            ResponseType.ServerError -> {
+                val localVarError = localVarResponse as ServerError<*>
+                throw ServerException(
+                    "Server error : ${localVarError.statusCode} ${localVarError.message.orEmpty()} ${localVarError.body}",
+                    localVarError.statusCode,
+                    localVarResponse,
+                )
+            }
+        }
+    }
+
+    /**
+     * GET /fine_tuning/checkpoints/{permission_id}/permissions **NOTE:** This
+     * endpoint requires an [admin API key](../admin-api-keys). Organization
+     * owners can use this endpoint to view all permissions for a fine-tuned
+     * model checkpoint.
+     *
+     * @param permissionId The ID of the fine-tuned model checkpoint to get
+     *   permissions for.
+     * @param projectId The ID of the project to get permissions for. (optional)
+     * @param after Identifier for the last permission ID from the previous
+     *   pagination request. (optional)
+     * @param limit Number of permissions to retrieve. (optional, default to 10)
+     * @param order The order in which to retrieve permissions. (optional,
+     *   default to descending)
+     * @return ApiResponse<ListFineTuningCheckpointPermissionResponse?>
+     * @throws IllegalStateException If the request is not correctly configured
+     * @throws IOException Rethrows the OkHttp execute method exception
+     */
+    @Suppress("UNCHECKED_CAST")
+    @Throws(IllegalStateException::class, IOException::class)
+    fun listFineTuningCheckpointPermissionsWithHttpInfo(
+        permissionId: kotlin.String,
+        projectId: kotlin.String?,
+        after: kotlin.String?,
+        limit: kotlin.Int?,
+        order: OrderListFineTuningCheckpointPermissions?,
+    ): ApiResponse<ListFineTuningCheckpointPermissionResponse?> {
+        val localVariableConfig =
+            listFineTuningCheckpointPermissionsRequestConfig(
+                permissionId = permissionId,
+                projectId = projectId,
+                after = after,
+                limit = limit,
+                order = order,
+            )
+
+        return request<Unit, ListFineTuningCheckpointPermissionResponse>(
+            localVariableConfig
+        )
+    }
+
+    /**
+     * To obtain the request config of the operation
+     * listFineTuningCheckpointPermissions
+     *
+     * @param permissionId The ID of the fine-tuned model checkpoint to get
+     *   permissions for.
+     * @param projectId The ID of the project to get permissions for. (optional)
+     * @param after Identifier for the last permission ID from the previous
+     *   pagination request. (optional)
+     * @param limit Number of permissions to retrieve. (optional, default to 10)
+     * @param order The order in which to retrieve permissions. (optional,
+     *   default to descending)
+     * @return RequestConfig
+     */
+    fun listFineTuningCheckpointPermissionsRequestConfig(
+        permissionId: kotlin.String,
+        projectId: kotlin.String?,
+        after: kotlin.String?,
+        limit: kotlin.Int?,
+        order: OrderListFineTuningCheckpointPermissions?,
+    ): RequestConfig<Unit> {
+        val localVariableBody = null
+        val localVariableQuery: MultiValueMap =
+            mutableMapOf<
+                    kotlin.String,
+                    kotlin.collections.List<kotlin.String>,
+                >()
+                .apply {
+                    if (projectId != null) {
+                        put("project_id", listOf(projectId.toString()))
+                    }
+                    if (after != null) {
+                        put("after", listOf(after.toString()))
+                    }
+                    if (limit != null) {
+                        put("limit", listOf(limit.toString()))
+                    }
+                    if (order != null) {
+                        put("order", listOf(order.value))
+                    }
+                }
+        val localVariableHeaders: MutableMap<String, String> = mutableMapOf()
+        localVariableHeaders["Accept"] = "application/json"
+
+        return RequestConfig(
+            method = RequestMethod.GET,
+            path =
+                "/fine_tuning/checkpoints/{permission_id}/permissions"
+                    .replace(
+                        "{" + "permission_id" + "}",
+                        encodeURIComponent(permissionId.toString()),
+                    ),
+            query = localVariableQuery,
+            headers = localVariableHeaders,
+            requiresAuthentication = true,
+            body = localVariableBody,
+        )
+    }
+
+    /**
+     * GET /fine_tuning/jobs/{fine_tuning_job_id}/events Get status updates for
+     * a fine-tuning job.
      *
      * @param fineTuningJobId The ID of the fine-tuning job to get events for.
      * @param after Identifier for the last event from the previous pagination
@@ -324,7 +789,8 @@ class FineTuningApi(
     }
 
     /**
-     * Get status updates for a fine-tuning job.
+     * GET /fine_tuning/jobs/{fine_tuning_job_id}/events Get status updates for
+     * a fine-tuning job.
      *
      * @param fineTuningJobId The ID of the fine-tuning job to get events for.
      * @param after Identifier for the last event from the previous pagination
@@ -400,7 +866,8 @@ class FineTuningApi(
     }
 
     /**
-     * List checkpoints for a fine-tuning job.
+     * GET /fine_tuning/jobs/{fine_tuning_job_id}/checkpoints List checkpoints
+     * for a fine-tuning job.
      *
      * @param fineTuningJobId The ID of the fine-tuning job to get checkpoints
      *   for.
@@ -467,7 +934,8 @@ class FineTuningApi(
     }
 
     /**
-     * List checkpoints for a fine-tuning job.
+     * GET /fine_tuning/jobs/{fine_tuning_job_id}/checkpoints List checkpoints
+     * for a fine-tuning job.
      *
      * @param fineTuningJobId The ID of the fine-tuning job to get checkpoints
      *   for.
@@ -546,12 +1014,15 @@ class FineTuningApi(
     }
 
     /**
-     * List your organization&#39;s fine-tuning jobs
+     * GET /fine_tuning/jobs List your organization&#39;s fine-tuning jobs
      *
      * @param after Identifier for the last job from the previous pagination
      *   request. (optional)
      * @param limit Number of fine-tuning jobs to retrieve. (optional, default
      *   to 20)
+     * @param metadata Optional metadata filter. To filter, use the syntax
+     *   &#x60;metadata[k]&#x3D;v&#x60;. Alternatively, set
+     *   &#x60;metadata&#x3D;null&#x60; to indicate no metadata. (optional)
      * @return ListPaginatedFineTuningJobsResponse
      * @throws IllegalStateException If the request is not correctly configured
      * @throws IOException Rethrows the OkHttp execute method exception
@@ -571,11 +1042,13 @@ class FineTuningApi(
     fun listPaginatedFineTuningJobs(
         after: kotlin.String? = null,
         limit: kotlin.Int? = 20,
+        metadata: kotlin.collections.Map<kotlin.String, kotlin.String>? = null,
     ): ListPaginatedFineTuningJobsResponse {
         val localVarResponse =
             listPaginatedFineTuningJobsWithHttpInfo(
                 after = after,
                 limit = limit,
+                metadata = metadata,
             )
 
         return when (localVarResponse.responseType) {
@@ -610,12 +1083,15 @@ class FineTuningApi(
     }
 
     /**
-     * List your organization&#39;s fine-tuning jobs
+     * GET /fine_tuning/jobs List your organization&#39;s fine-tuning jobs
      *
      * @param after Identifier for the last job from the previous pagination
      *   request. (optional)
      * @param limit Number of fine-tuning jobs to retrieve. (optional, default
      *   to 20)
+     * @param metadata Optional metadata filter. To filter, use the syntax
+     *   &#x60;metadata[k]&#x3D;v&#x60;. Alternatively, set
+     *   &#x60;metadata&#x3D;null&#x60; to indicate no metadata. (optional)
      * @return ApiResponse<ListPaginatedFineTuningJobsResponse?>
      * @throws IllegalStateException If the request is not correctly configured
      * @throws IOException Rethrows the OkHttp execute method exception
@@ -625,11 +1101,13 @@ class FineTuningApi(
     fun listPaginatedFineTuningJobsWithHttpInfo(
         after: kotlin.String?,
         limit: kotlin.Int?,
+        metadata: kotlin.collections.Map<kotlin.String, kotlin.String>?,
     ): ApiResponse<ListPaginatedFineTuningJobsResponse?> {
         val localVariableConfig =
             listPaginatedFineTuningJobsRequestConfig(
                 after = after,
                 limit = limit,
+                metadata = metadata,
             )
 
         return request<Unit, ListPaginatedFineTuningJobsResponse>(
@@ -644,11 +1122,15 @@ class FineTuningApi(
      *   request. (optional)
      * @param limit Number of fine-tuning jobs to retrieve. (optional, default
      *   to 20)
+     * @param metadata Optional metadata filter. To filter, use the syntax
+     *   &#x60;metadata[k]&#x3D;v&#x60;. Alternatively, set
+     *   &#x60;metadata&#x3D;null&#x60; to indicate no metadata. (optional)
      * @return RequestConfig
      */
     fun listPaginatedFineTuningJobsRequestConfig(
         after: kotlin.String?,
         limit: kotlin.Int?,
+        metadata: kotlin.collections.Map<kotlin.String, kotlin.String>?,
     ): RequestConfig<Unit> {
         val localVariableBody = null
         val localVariableQuery: MultiValueMap =
@@ -663,6 +1145,9 @@ class FineTuningApi(
                     if (limit != null) {
                         put("limit", listOf(limit.toString()))
                     }
+                    if (metadata != null) {
+                        put("metadata", toMultiValue(metadata.toList(), ""))
+                    }
                 }
         val localVariableHeaders: MutableMap<String, String> = mutableMapOf()
         localVariableHeaders["Accept"] = "application/json"
@@ -678,8 +1163,8 @@ class FineTuningApi(
     }
 
     /**
-     * Get info about a fine-tuning job.
-     * [Learn more about fine-tuning](/docs/guides/fine-tuning)
+     * GET /fine_tuning/jobs/{fine_tuning_job_id} Get info about a fine-tuning
+     * job. [Learn more about fine-tuning](/docs/guides/fine-tuning)
      *
      * @param fineTuningJobId The ID of the fine-tuning job.
      * @return FineTuningJob
@@ -733,8 +1218,8 @@ class FineTuningApi(
     }
 
     /**
-     * Get info about a fine-tuning job.
-     * [Learn more about fine-tuning](/docs/guides/fine-tuning)
+     * GET /fine_tuning/jobs/{fine_tuning_job_id} Get info about a fine-tuning
+     * job. [Learn more about fine-tuning](/docs/guides/fine-tuning)
      *
      * @param fineTuningJobId The ID of the fine-tuning job.
      * @return ApiResponse<FineTuningJob?>
diff --git a/lib/src/main/kotlin/com/openai/apis/ImagesApi.kt b/lib/src/main/kotlin/com/openai/apis/ImagesApi.kt
index 16f0d9b7..86e09a13 100644
--- a/lib/src/main/kotlin/com/openai/apis/ImagesApi.kt
+++ b/lib/src/main/kotlin/com/openai/apis/ImagesApi.kt
@@ -44,7 +44,7 @@ class ImagesApi(
     }
 
     /**
-     * Creates an image given a prompt.
+     * POST /images/generations Creates an image given a prompt.
      *
      * @param createImageRequest
      * @return ImagesResponse
@@ -98,7 +98,7 @@ class ImagesApi(
     }
 
     /**
-     * Creates an image given a prompt.
+     * POST /images/generations Creates an image given a prompt.
      *
      * @param createImageRequest
      * @return ApiResponse<ImagesResponse?>
@@ -175,7 +175,8 @@ class ImagesApi(
     }
 
     /**
-     * Creates an edited or extended image given an original image and a prompt.
+     * POST /images/edits Creates an edited or extended image given an original
+     * image and a prompt.
      *
      * @param image The image to edit. Must be a valid PNG file, less than 4MB,
      *   and square. If mask is not provided, image must have transparency,
@@ -271,7 +272,8 @@ class ImagesApi(
     }
 
     /**
-     * Creates an edited or extended image given an original image and a prompt.
+     * POST /images/edits Creates an edited or extended image given an original
+     * image and a prompt.
      *
      * @param image The image to edit. Must be a valid PNG file, less than 4MB,
      *   and square. If mask is not provided, image must have transparency,
@@ -432,7 +434,7 @@ class ImagesApi(
     }
 
     /**
-     * Creates a variation of a given image.
+     * POST /images/variations Creates a variation of a given image.
      *
      * @param image The image to use as the basis for the variation(s). Must be
      *   a valid PNG file, less than 4MB, and square.
@@ -518,7 +520,7 @@ class ImagesApi(
     }
 
     /**
-     * Creates a variation of a given image.
+     * POST /images/variations Creates a variation of a given image.
      *
      * @param image The image to use as the basis for the variation(s). Must be
      *   a valid PNG file, less than 4MB, and square.
diff --git a/lib/src/main/kotlin/com/openai/apis/InvitesApi.kt b/lib/src/main/kotlin/com/openai/apis/InvitesApi.kt
index 00e1dc86..6a85bf5c 100644
--- a/lib/src/main/kotlin/com/openai/apis/InvitesApi.kt
+++ b/lib/src/main/kotlin/com/openai/apis/InvitesApi.kt
@@ -43,8 +43,8 @@ class InvitesApi(
     }
 
     /**
-     * Delete an invite. If the invite has already been accepted, it cannot be
-     * deleted.
+     * DELETE /organization/invites/{invite_id} Delete an invite. If the invite
+     * has already been accepted, it cannot be deleted.
      *
      * @param inviteId The ID of the invite to delete.
      * @return InviteDeleteResponse
@@ -97,8 +97,8 @@ class InvitesApi(
     }
 
     /**
-     * Delete an invite. If the invite has already been accepted, it cannot be
-     * deleted.
+     * DELETE /organization/invites/{invite_id} Delete an invite. If the invite
+     * has already been accepted, it cannot be deleted.
      *
      * @param inviteId The ID of the invite to delete.
      * @return ApiResponse<InviteDeleteResponse?>
@@ -145,8 +145,9 @@ class InvitesApi(
     }
 
     /**
-     * Create an invite for a user to the organization. The invite must be
-     * accepted by the user before they have access to the organization.
+     * POST /organization/invites Create an invite for a user to the
+     * organization. The invite must be accepted by the user before they have
+     * access to the organization.
      *
      * @param inviteRequest The invite request payload.
      * @return Invite
@@ -200,8 +201,9 @@ class InvitesApi(
     }
 
     /**
-     * Create an invite for a user to the organization. The invite must be
-     * accepted by the user before they have access to the organization.
+     * POST /organization/invites Create an invite for a user to the
+     * organization. The invite must be accepted by the user before they have
+     * access to the organization.
      *
      * @param inviteRequest The invite request payload.
      * @return ApiResponse<Invite?>
@@ -245,7 +247,7 @@ class InvitesApi(
     }
 
     /**
-     * Returns a list of invites in the organization.
+     * GET /organization/invites Returns a list of invites in the organization.
      *
      * @param limit A limit on the number of objects to be returned. Limit can
      *   range between 1 and 100, and the default is 20. (optional, default
@@ -309,7 +311,7 @@ class InvitesApi(
     }
 
     /**
-     * Returns a list of invites in the organization.
+     * GET /organization/invites Returns a list of invites in the organization.
      *
      * @param limit A limit on the number of objects to be returned. Limit can
      *   range between 1 and 100, and the default is 20. (optional, default
@@ -380,7 +382,7 @@ class InvitesApi(
     }
 
     /**
-     * Retrieves an invite.
+     * GET /organization/invites/{invite_id} Retrieves an invite.
      *
      * @param inviteId The ID of the invite to retrieve.
      * @return Invite
@@ -433,7 +435,7 @@ class InvitesApi(
     }
 
     /**
-     * Retrieves an invite.
+     * GET /organization/invites/{invite_id} Retrieves an invite.
      *
      * @param inviteId The ID of the invite to retrieve.
      * @return ApiResponse<Invite?>
diff --git a/lib/src/main/kotlin/com/openai/apis/ModelsApi.kt b/lib/src/main/kotlin/com/openai/apis/ModelsApi.kt
index 0f0f4d0e..bf184b32 100644
--- a/lib/src/main/kotlin/com/openai/apis/ModelsApi.kt
+++ b/lib/src/main/kotlin/com/openai/apis/ModelsApi.kt
@@ -42,8 +42,8 @@ class ModelsApi(
     }
 
     /**
-     * Delete a fine-tuned model. You must have the Owner role in your
-     * organization to delete a model.
+     * DELETE /models/{model} Delete a fine-tuned model. You must have the Owner
+     * role in your organization to delete a model.
      *
      * @param model The model to delete
      * @return DeleteModelResponse
@@ -96,8 +96,8 @@ class ModelsApi(
     }
 
     /**
-     * Delete a fine-tuned model. You must have the Owner role in your
-     * organization to delete a model.
+     * DELETE /models/{model} Delete a fine-tuned model. You must have the Owner
+     * role in your organization to delete a model.
      *
      * @param model The model to delete
      * @return ApiResponse<DeleteModelResponse?>
@@ -142,8 +142,8 @@ class ModelsApi(
     }
 
     /**
-     * Lists the currently available models, and provides basic information
-     * about each one such as the owner and availability.
+     * GET /models Lists the currently available models, and provides basic
+     * information about each one such as the owner and availability.
      *
      * @return ListModelsResponse
      * @throws IllegalStateException If the request is not correctly configured
@@ -195,8 +195,8 @@ class ModelsApi(
     }
 
     /**
-     * Lists the currently available models, and provides basic information
-     * about each one such as the owner and availability.
+     * GET /models Lists the currently available models, and provides basic
+     * information about each one such as the owner and availability.
      *
      * @return ApiResponse<ListModelsResponse?>
      * @throws IllegalStateException If the request is not correctly configured
@@ -232,8 +232,8 @@ class ModelsApi(
     }
 
     /**
-     * Retrieves a model instance, providing basic information about the model
-     * such as the owner and permissioning.
+     * GET /models/{model} Retrieves a model instance, providing basic
+     * information about the model such as the owner and permissioning.
      *
      * @param model The ID of the model to use for this request
      * @return Model
@@ -286,8 +286,8 @@ class ModelsApi(
     }
 
     /**
-     * Retrieves a model instance, providing basic information about the model
-     * such as the owner and permissioning.
+     * GET /models/{model} Retrieves a model instance, providing basic
+     * information about the model such as the owner and permissioning.
      *
      * @param model The ID of the model to use for this request
      * @return ApiResponse<Model?>
diff --git a/lib/src/main/kotlin/com/openai/apis/ModerationsApi.kt b/lib/src/main/kotlin/com/openai/apis/ModerationsApi.kt
index 213e99d4..898140e3 100644
--- a/lib/src/main/kotlin/com/openai/apis/ModerationsApi.kt
+++ b/lib/src/main/kotlin/com/openai/apis/ModerationsApi.kt
@@ -41,8 +41,8 @@ class ModerationsApi(
     }
 
     /**
-     * Classifies if text and/or image inputs are potentially harmful. Learn
-     * more in the [moderation guide](/docs/guides/moderation).
+     * POST /moderations Classifies if text and/or image inputs are potentially
+     * harmful. Learn more in the [moderation guide](/docs/guides/moderation).
      *
      * @param createModerationRequest
      * @return CreateModerationResponse
@@ -101,8 +101,8 @@ class ModerationsApi(
     }
 
     /**
-     * Classifies if text and/or image inputs are potentially harmful. Learn
-     * more in the [moderation guide](/docs/guides/moderation).
+     * POST /moderations Classifies if text and/or image inputs are potentially
+     * harmful. Learn more in the [moderation guide](/docs/guides/moderation).
      *
      * @param createModerationRequest
      * @return ApiResponse<CreateModerationResponse?>
diff --git a/lib/src/main/kotlin/com/openai/apis/ProjectsApi.kt b/lib/src/main/kotlin/com/openai/apis/ProjectsApi.kt
index 450e9ef4..a29bdf17 100644
--- a/lib/src/main/kotlin/com/openai/apis/ProjectsApi.kt
+++ b/lib/src/main/kotlin/com/openai/apis/ProjectsApi.kt
@@ -59,8 +59,8 @@ class ProjectsApi(
     }
 
     /**
-     * Archives a project in the organization. Archived projects cannot be used
-     * or updated.
+     * POST /organization/projects/{project_id}/archive Archives a project in
+     * the organization. Archived projects cannot be used or updated.
      *
      * @param projectId The ID of the project.
      * @return Project
@@ -113,8 +113,8 @@ class ProjectsApi(
     }
 
     /**
-     * Archives a project in the organization. Archived projects cannot be used
-     * or updated.
+     * POST /organization/projects/{project_id}/archive Archives a project in
+     * the organization. Archived projects cannot be used or updated.
      *
      * @param projectId The ID of the project.
      * @return ApiResponse<Project?>
@@ -162,8 +162,8 @@ class ProjectsApi(
     }
 
     /**
-     * Create a new project in the organization. Projects can be created and
-     * archived, but cannot be deleted.
+     * POST /organization/projects Create a new project in the organization.
+     * Projects can be created and archived, but cannot be deleted.
      *
      * @param projectCreateRequest The project create request payload.
      * @return Project
@@ -219,8 +219,8 @@ class ProjectsApi(
     }
 
     /**
-     * Create a new project in the organization. Projects can be created and
-     * archived, but cannot be deleted.
+     * POST /organization/projects Create a new project in the organization.
+     * Projects can be created and archived, but cannot be deleted.
      *
      * @param projectCreateRequest The project create request payload.
      * @return ApiResponse<Project?>
@@ -266,8 +266,9 @@ class ProjectsApi(
     }
 
     /**
-     * Creates a new service account in the project. This also returns an
-     * unredacted API key for the service account.
+     * POST /organization/projects/{project_id}/service_accounts Creates a new
+     * service account in the project. This also returns an unredacted API key
+     * for the service account.
      *
      * @param projectId The ID of the project.
      * @param projectServiceAccountCreateRequest The project service account
@@ -331,8 +332,9 @@ class ProjectsApi(
     }
 
     /**
-     * Creates a new service account in the project. This also returns an
-     * unredacted API key for the service account.
+     * POST /organization/projects/{project_id}/service_accounts Creates a new
+     * service account in the project. This also returns an unredacted API key
+     * for the service account.
      *
      * @param projectId The ID of the project.
      * @param projectServiceAccountCreateRequest The project service account
@@ -396,8 +398,9 @@ class ProjectsApi(
     }
 
     /**
-     * Adds a user to the project. Users must already be members of the
-     * organization to be added to a project.
+     * POST /organization/projects/{project_id}/users Adds a user to the
+     * project. Users must already be members of the organization to be added to
+     * a project.
      *
      * @param projectId The ID of the project.
      * @param projectUserCreateRequest The project user create request payload.
@@ -458,8 +461,9 @@ class ProjectsApi(
     }
 
     /**
-     * Adds a user to the project. Users must already be members of the
-     * organization to be added to a project.
+     * POST /organization/projects/{project_id}/users Adds a user to the
+     * project. Users must already be members of the organization to be added to
+     * a project.
      *
      * @param projectId The ID of the project.
      * @param projectUserCreateRequest The project user create request payload.
@@ -517,7 +521,8 @@ class ProjectsApi(
     }
 
     /**
-     * Deletes an API key from the project.
+     * DELETE /organization/projects/{project_id}/api_keys/{key_id} Deletes an
+     * API key from the project.
      *
      * @param projectId The ID of the project.
      * @param keyId The ID of the API key.
@@ -579,7 +584,8 @@ class ProjectsApi(
     }
 
     /**
-     * Deletes an API key from the project.
+     * DELETE /organization/projects/{project_id}/api_keys/{key_id} Deletes an
+     * API key from the project.
      *
      * @param projectId The ID of the project.
      * @param keyId The ID of the API key.
@@ -638,6 +644,8 @@ class ProjectsApi(
     }
 
     /**
+     * DELETE
+     * /organization/projects/{project_id}/service_accounts/{service_account_id}
      * Deletes a service account from the project.
      *
      * @param projectId The ID of the project.
@@ -700,6 +708,8 @@ class ProjectsApi(
     }
 
     /**
+     * DELETE
+     * /organization/projects/{project_id}/service_accounts/{service_account_id}
      * Deletes a service account from the project.
      *
      * @param projectId The ID of the project.
@@ -761,7 +771,8 @@ class ProjectsApi(
     }
 
     /**
-     * Deletes a user from the project.
+     * DELETE /organization/projects/{project_id}/users/{user_id} Deletes a user
+     * from the project.
      *
      * @param projectId The ID of the project.
      * @param userId The ID of the user.
@@ -823,7 +834,8 @@ class ProjectsApi(
     }
 
     /**
-     * Deletes a user from the project.
+     * DELETE /organization/projects/{project_id}/users/{user_id} Deletes a user
+     * from the project.
      *
      * @param projectId The ID of the project.
      * @param userId The ID of the user.
@@ -882,7 +894,8 @@ class ProjectsApi(
     }
 
     /**
-     * Returns a list of API keys in the project.
+     * GET /organization/projects/{project_id}/api_keys Returns a list of API
+     * keys in the project.
      *
      * @param projectId The ID of the project.
      * @param limit A limit on the number of objects to be returned. Limit can
@@ -953,7 +966,8 @@ class ProjectsApi(
     }
 
     /**
-     * Returns a list of API keys in the project.
+     * GET /organization/projects/{project_id}/api_keys Returns a list of API
+     * keys in the project.
      *
      * @param projectId The ID of the project.
      * @param limit A limit on the number of objects to be returned. Limit can
@@ -1037,7 +1051,8 @@ class ProjectsApi(
     }
 
     /**
-     * Returns the rate limits per model for a project.
+     * GET /organization/projects/{project_id}/rate_limits Returns the rate
+     * limits per model for a project.
      *
      * @param projectId The ID of the project.
      * @param limit A limit on the number of objects to be returned. The default
@@ -1114,7 +1129,8 @@ class ProjectsApi(
     }
 
     /**
-     * Returns the rate limits per model for a project.
+     * GET /organization/projects/{project_id}/rate_limits Returns the rate
+     * limits per model for a project.
      *
      * @param projectId The ID of the project.
      * @param limit A limit on the number of objects to be returned. The default
@@ -1212,7 +1228,8 @@ class ProjectsApi(
     }
 
     /**
-     * Returns a list of service accounts in the project.
+     * GET /organization/projects/{project_id}/service_accounts Returns a list
+     * of service accounts in the project.
      *
      * @param projectId The ID of the project.
      * @param limit A limit on the number of objects to be returned. Limit can
@@ -1283,7 +1300,8 @@ class ProjectsApi(
     }
 
     /**
-     * Returns a list of service accounts in the project.
+     * GET /organization/projects/{project_id}/service_accounts Returns a list
+     * of service accounts in the project.
      *
      * @param projectId The ID of the project.
      * @param limit A limit on the number of objects to be returned. Limit can
@@ -1369,7 +1387,8 @@ class ProjectsApi(
     }
 
     /**
-     * Returns a list of users in the project.
+     * GET /organization/projects/{project_id}/users Returns a list of users in
+     * the project.
      *
      * @param projectId The ID of the project.
      * @param limit A limit on the number of objects to be returned. Limit can
@@ -1439,7 +1458,8 @@ class ProjectsApi(
     }
 
     /**
-     * Returns a list of users in the project.
+     * GET /organization/projects/{project_id}/users Returns a list of users in
+     * the project.
      *
      * @param projectId The ID of the project.
      * @param limit A limit on the number of objects to be returned. Limit can
@@ -1523,7 +1543,7 @@ class ProjectsApi(
     }
 
     /**
-     * Returns a list of projects.
+     * GET /organization/projects Returns a list of projects.
      *
      * @param limit A limit on the number of objects to be returned. Limit can
      *   range between 1 and 100, and the default is 20. (optional, default
@@ -1595,7 +1615,7 @@ class ProjectsApi(
     }
 
     /**
-     * Returns a list of projects.
+     * GET /organization/projects Returns a list of projects.
      *
      * @param limit A limit on the number of objects to be returned. Limit can
      *   range between 1 and 100, and the default is 20. (optional, default
@@ -1684,7 +1704,8 @@ class ProjectsApi(
     }
 
     /**
-     * Modifies a project in the organization.
+     * POST /organization/projects/{project_id} Modifies a project in the
+     * organization.
      *
      * @param projectId The ID of the project.
      * @param projectUpdateRequest The project update request payload.
@@ -1745,7 +1766,8 @@ class ProjectsApi(
     }
 
     /**
-     * Modifies a project in the organization.
+     * POST /organization/projects/{project_id} Modifies a project in the
+     * organization.
      *
      * @param projectId The ID of the project.
      * @param projectUpdateRequest The project update request payload.
@@ -1801,7 +1823,8 @@ class ProjectsApi(
     }
 
     /**
-     * Modifies a user&#39;s role in the project.
+     * POST /organization/projects/{project_id}/users/{user_id} Modifies a
+     * user&#39;s role in the project.
      *
      * @param projectId The ID of the project.
      * @param userId The ID of the user.
@@ -1865,7 +1888,8 @@ class ProjectsApi(
     }
 
     /**
-     * Modifies a user&#39;s role in the project.
+     * POST /organization/projects/{project_id}/users/{user_id} Modifies a
+     * user&#39;s role in the project.
      *
      * @param projectId The ID of the project.
      * @param userId The ID of the user.
@@ -1932,7 +1956,7 @@ class ProjectsApi(
     }
 
     /**
-     * Retrieves a project.
+     * GET /organization/projects/{project_id} Retrieves a project.
      *
      * @param projectId The ID of the project.
      * @return Project
@@ -1986,7 +2010,7 @@ class ProjectsApi(
     }
 
     /**
-     * Retrieves a project.
+     * GET /organization/projects/{project_id} Retrieves a project.
      *
      * @param projectId The ID of the project.
      * @return ApiResponse<Project?>
@@ -2034,7 +2058,8 @@ class ProjectsApi(
     }
 
     /**
-     * Retrieves an API key in the project.
+     * GET /organization/projects/{project_id}/api_keys/{key_id} Retrieves an
+     * API key in the project.
      *
      * @param projectId The ID of the project.
      * @param keyId The ID of the API key.
@@ -2095,7 +2120,8 @@ class ProjectsApi(
     }
 
     /**
-     * Retrieves an API key in the project.
+     * GET /organization/projects/{project_id}/api_keys/{key_id} Retrieves an
+     * API key in the project.
      *
      * @param projectId The ID of the project.
      * @param keyId The ID of the API key.
@@ -2154,6 +2180,8 @@ class ProjectsApi(
     }
 
     /**
+     * GET
+     * /organization/projects/{project_id}/service_accounts/{service_account_id}
      * Retrieves a service account in the project.
      *
      * @param projectId The ID of the project.
@@ -2215,6 +2243,8 @@ class ProjectsApi(
     }
 
     /**
+     * GET
+     * /organization/projects/{project_id}/service_accounts/{service_account_id}
      * Retrieves a service account in the project.
      *
      * @param projectId The ID of the project.
@@ -2275,7 +2305,8 @@ class ProjectsApi(
     }
 
     /**
-     * Retrieves a user in the project.
+     * GET /organization/projects/{project_id}/users/{user_id} Retrieves a user
+     * in the project.
      *
      * @param projectId The ID of the project.
      * @param userId The ID of the user.
@@ -2336,7 +2367,8 @@ class ProjectsApi(
     }
 
     /**
-     * Retrieves a user in the project.
+     * GET /organization/projects/{project_id}/users/{user_id} Retrieves a user
+     * in the project.
      *
      * @param projectId The ID of the project.
      * @param userId The ID of the user.
@@ -2395,6 +2427,7 @@ class ProjectsApi(
     }
 
     /**
+     * POST /organization/projects/{project_id}/rate_limits/{rate_limit_id}
      * Updates a project rate limit.
      *
      * @param projectId The ID of the project.
@@ -2460,6 +2493,7 @@ class ProjectsApi(
     }
 
     /**
+     * POST /organization/projects/{project_id}/rate_limits/{rate_limit_id}
      * Updates a project rate limit.
      *
      * @param projectId The ID of the project.
diff --git a/lib/src/main/kotlin/com/openai/apis/RealtimeApi.kt b/lib/src/main/kotlin/com/openai/apis/RealtimeApi.kt
index 3f925123..c90b3524 100644
--- a/lib/src/main/kotlin/com/openai/apis/RealtimeApi.kt
+++ b/lib/src/main/kotlin/com/openai/apis/RealtimeApi.kt
@@ -24,6 +24,8 @@ import com.openai.infrastructure.ServerException
 import com.openai.infrastructure.Success
 import com.openai.models.RealtimeSessionCreateRequest
 import com.openai.models.RealtimeSessionCreateResponse
+import com.openai.models.RealtimeTranscriptionSessionCreateRequest
+import com.openai.models.RealtimeTranscriptionSessionCreateResponse
 import java.io.IOException
 import okhttp3.Call
 import okhttp3.HttpUrl
@@ -41,12 +43,12 @@ class RealtimeApi(
     }
 
     /**
-     * Create an ephemeral API token for use in client-side applications with
-     * the Realtime API. Can be configured with the same session parameters as
-     * the &#x60;session.update&#x60; client event. It responds with a session
-     * object, plus a &#x60;client_secret&#x60; key which contains a usable
-     * ephemeral API token that can be used to authenticate browser clients for
-     * the Realtime API.
+     * POST /realtime/sessions Create an ephemeral API token for use in
+     * client-side applications with the Realtime API. Can be configured with
+     * the same session parameters as the &#x60;session.update&#x60; client
+     * event. It responds with a session object, plus a
+     * &#x60;client_secret&#x60; key which contains a usable ephemeral API token
+     * that can be used to authenticate browser clients for the Realtime API.
      *
      * @param realtimeSessionCreateRequest Create an ephemeral API key with the
      *   given session configuration.
@@ -106,12 +108,12 @@ class RealtimeApi(
     }
 
     /**
-     * Create an ephemeral API token for use in client-side applications with
-     * the Realtime API. Can be configured with the same session parameters as
-     * the &#x60;session.update&#x60; client event. It responds with a session
-     * object, plus a &#x60;client_secret&#x60; key which contains a usable
-     * ephemeral API token that can be used to authenticate browser clients for
-     * the Realtime API.
+     * POST /realtime/sessions Create an ephemeral API token for use in
+     * client-side applications with the Realtime API. Can be configured with
+     * the same session parameters as the &#x60;session.update&#x60; client
+     * event. It responds with a session object, plus a
+     * &#x60;client_secret&#x60; key which contains a usable ephemeral API token
+     * that can be used to authenticate browser clients for the Realtime API.
      *
      * @param realtimeSessionCreateRequest Create an ephemeral API key with the
      *   given session configuration.
@@ -163,6 +165,137 @@ class RealtimeApi(
         )
     }
 
+    /**
+     * POST /realtime/transcription_sessions Create an ephemeral API token for
+     * use in client-side applications with the Realtime API specifically for
+     * realtime transcriptions. Can be configured with the same session
+     * parameters as the &#x60;transcription_session.update&#x60; client event.
+     * It responds with a session object, plus a &#x60;client_secret&#x60; key
+     * which contains a usable ephemeral API token that can be used to
+     * authenticate browser clients for the Realtime API.
+     *
+     * @param realtimeTranscriptionSessionCreateRequest Create an ephemeral API
+     *   key with the given session configuration.
+     * @return RealtimeTranscriptionSessionCreateResponse
+     * @throws IllegalStateException If the request is not correctly configured
+     * @throws IOException Rethrows the OkHttp execute method exception
+     * @throws UnsupportedOperationException If the API returns an informational
+     *   or redirection response
+     * @throws ClientException If the API returns a client error response
+     * @throws ServerException If the API returns a server error response
+     */
+    @Suppress("UNCHECKED_CAST")
+    @Throws(
+        IllegalStateException::class,
+        IOException::class,
+        UnsupportedOperationException::class,
+        ClientException::class,
+        ServerException::class,
+    )
+    fun createRealtimeTranscriptionSession(
+        realtimeTranscriptionSessionCreateRequest:
+            RealtimeTranscriptionSessionCreateRequest
+    ): RealtimeTranscriptionSessionCreateResponse {
+        val localVarResponse =
+            createRealtimeTranscriptionSessionWithHttpInfo(
+                realtimeTranscriptionSessionCreateRequest =
+                    realtimeTranscriptionSessionCreateRequest
+            )
+
+        return when (localVarResponse.responseType) {
+            ResponseType.Success ->
+                (localVarResponse as Success<*>).data
+                    as RealtimeTranscriptionSessionCreateResponse
+            ResponseType.Informational ->
+                throw UnsupportedOperationException(
+                    "Client does not support Informational responses."
+                )
+            ResponseType.Redirection ->
+                throw UnsupportedOperationException(
+                    "Client does not support Redirection responses."
+                )
+            ResponseType.ClientError -> {
+                val localVarError = localVarResponse as ClientError<*>
+                throw ClientException(
+                    "Client error : ${localVarError.statusCode} ${localVarError.message.orEmpty()}",
+                    localVarError.statusCode,
+                    localVarResponse,
+                )
+            }
+            ResponseType.ServerError -> {
+                val localVarError = localVarResponse as ServerError<*>
+                throw ServerException(
+                    "Server error : ${localVarError.statusCode} ${localVarError.message.orEmpty()} ${localVarError.body}",
+                    localVarError.statusCode,
+                    localVarResponse,
+                )
+            }
+        }
+    }
+
+    /**
+     * POST /realtime/transcription_sessions Create an ephemeral API token for
+     * use in client-side applications with the Realtime API specifically for
+     * realtime transcriptions. Can be configured with the same session
+     * parameters as the &#x60;transcription_session.update&#x60; client event.
+     * It responds with a session object, plus a &#x60;client_secret&#x60; key
+     * which contains a usable ephemeral API token that can be used to
+     * authenticate browser clients for the Realtime API.
+     *
+     * @param realtimeTranscriptionSessionCreateRequest Create an ephemeral API
+     *   key with the given session configuration.
+     * @return ApiResponse<RealtimeTranscriptionSessionCreateResponse?>
+     * @throws IllegalStateException If the request is not correctly configured
+     * @throws IOException Rethrows the OkHttp execute method exception
+     */
+    @Suppress("UNCHECKED_CAST")
+    @Throws(IllegalStateException::class, IOException::class)
+    fun createRealtimeTranscriptionSessionWithHttpInfo(
+        realtimeTranscriptionSessionCreateRequest:
+            RealtimeTranscriptionSessionCreateRequest
+    ): ApiResponse<RealtimeTranscriptionSessionCreateResponse?> {
+        val localVariableConfig =
+            createRealtimeTranscriptionSessionRequestConfig(
+                realtimeTranscriptionSessionCreateRequest =
+                    realtimeTranscriptionSessionCreateRequest
+            )
+
+        return request<
+            RealtimeTranscriptionSessionCreateRequest,
+            RealtimeTranscriptionSessionCreateResponse,
+        >(
+            localVariableConfig
+        )
+    }
+
+    /**
+     * To obtain the request config of the operation
+     * createRealtimeTranscriptionSession
+     *
+     * @param realtimeTranscriptionSessionCreateRequest Create an ephemeral API
+     *   key with the given session configuration.
+     * @return RequestConfig
+     */
+    fun createRealtimeTranscriptionSessionRequestConfig(
+        realtimeTranscriptionSessionCreateRequest:
+            RealtimeTranscriptionSessionCreateRequest
+    ): RequestConfig<RealtimeTranscriptionSessionCreateRequest> {
+        val localVariableBody = realtimeTranscriptionSessionCreateRequest
+        val localVariableQuery: MultiValueMap = mutableMapOf()
+        val localVariableHeaders: MutableMap<String, String> = mutableMapOf()
+        localVariableHeaders["Content-Type"] = "application/json"
+        localVariableHeaders["Accept"] = "application/json"
+
+        return RequestConfig(
+            method = RequestMethod.POST,
+            path = "/realtime/transcription_sessions",
+            query = localVariableQuery,
+            headers = localVariableHeaders,
+            requiresAuthentication = true,
+            body = localVariableBody,
+        )
+    }
+
     private fun encodeURIComponent(uriComponent: kotlin.String): kotlin.String =
         HttpUrl.Builder()
             .scheme("http")
diff --git a/lib/src/main/kotlin/com/openai/apis/ResponsesApi.kt b/lib/src/main/kotlin/com/openai/apis/ResponsesApi.kt
new file mode 100644
index 00000000..867c2496
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/apis/ResponsesApi.kt
@@ -0,0 +1,602 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.apis
+
+import com.openai.infrastructure.ApiClient
+import com.openai.infrastructure.ApiResponse
+import com.openai.infrastructure.ClientError
+import com.openai.infrastructure.ClientException
+import com.openai.infrastructure.MultiValueMap
+import com.openai.infrastructure.RequestConfig
+import com.openai.infrastructure.RequestMethod
+import com.openai.infrastructure.ResponseType
+import com.openai.infrastructure.ServerError
+import com.openai.infrastructure.ServerException
+import com.openai.infrastructure.Success
+import com.openai.infrastructure.toMultiValue
+import com.openai.models.CreateResponse
+import com.openai.models.Includable
+import com.openai.models.Response
+import com.openai.models.ResponseItemList
+import com.squareup.moshi.Json
+import java.io.IOException
+import okhttp3.Call
+import okhttp3.HttpUrl
+
+class ResponsesApi(
+    basePath: kotlin.String = defaultBasePath,
+    client: Call.Factory = ApiClient.defaultClient,
+) : ApiClient(basePath, client) {
+    companion object {
+        @JvmStatic
+        val defaultBasePath: String by lazy {
+            System.getProperties()
+                .getProperty(ApiClient.baseUrlKey, "https://api.openai.com/v1")
+        }
+    }
+
+    /**
+     * POST /responses Creates a model response. Provide
+     * [text](/docs/guides/text) or [image](/docs/guides/images) inputs to
+     * generate [text](/docs/guides/text) or
+     * [JSON](/docs/guides/structured-outputs) outputs. Have the model call your
+     * own [custom code](/docs/guides/function-calling) or use built-in
+     * [tools](/docs/guides/tools) like
+     * [web search](/docs/guides/tools-web-search) or
+     * [file search](/docs/guides/tools-file-search) to use your own data as
+     * input for the model&#39;s response.
+     *
+     * @param createResponse
+     * @return Response
+     * @throws IllegalStateException If the request is not correctly configured
+     * @throws IOException Rethrows the OkHttp execute method exception
+     * @throws UnsupportedOperationException If the API returns an informational
+     *   or redirection response
+     * @throws ClientException If the API returns a client error response
+     * @throws ServerException If the API returns a server error response
+     */
+    @Suppress("UNCHECKED_CAST")
+    @Throws(
+        IllegalStateException::class,
+        IOException::class,
+        UnsupportedOperationException::class,
+        ClientException::class,
+        ServerException::class,
+    )
+    fun createResponse(createResponse: CreateResponse): Response {
+        val localVarResponse =
+            createResponseWithHttpInfo(createResponse = createResponse)
+
+        return when (localVarResponse.responseType) {
+            ResponseType.Success ->
+                (localVarResponse as Success<*>).data as Response
+            ResponseType.Informational ->
+                throw UnsupportedOperationException(
+                    "Client does not support Informational responses."
+                )
+            ResponseType.Redirection ->
+                throw UnsupportedOperationException(
+                    "Client does not support Redirection responses."
+                )
+            ResponseType.ClientError -> {
+                val localVarError = localVarResponse as ClientError<*>
+                throw ClientException(
+                    "Client error : ${localVarError.statusCode} ${localVarError.message.orEmpty()}",
+                    localVarError.statusCode,
+                    localVarResponse,
+                )
+            }
+            ResponseType.ServerError -> {
+                val localVarError = localVarResponse as ServerError<*>
+                throw ServerException(
+                    "Server error : ${localVarError.statusCode} ${localVarError.message.orEmpty()} ${localVarError.body}",
+                    localVarError.statusCode,
+                    localVarResponse,
+                )
+            }
+        }
+    }
+
+    /**
+     * POST /responses Creates a model response. Provide
+     * [text](/docs/guides/text) or [image](/docs/guides/images) inputs to
+     * generate [text](/docs/guides/text) or
+     * [JSON](/docs/guides/structured-outputs) outputs. Have the model call your
+     * own [custom code](/docs/guides/function-calling) or use built-in
+     * [tools](/docs/guides/tools) like
+     * [web search](/docs/guides/tools-web-search) or
+     * [file search](/docs/guides/tools-file-search) to use your own data as
+     * input for the model&#39;s response.
+     *
+     * @param createResponse
+     * @return ApiResponse<Response?>
+     * @throws IllegalStateException If the request is not correctly configured
+     * @throws IOException Rethrows the OkHttp execute method exception
+     */
+    @Suppress("UNCHECKED_CAST")
+    @Throws(IllegalStateException::class, IOException::class)
+    fun createResponseWithHttpInfo(
+        createResponse: CreateResponse
+    ): ApiResponse<Response?> {
+        val localVariableConfig =
+            createResponseRequestConfig(createResponse = createResponse)
+
+        return request<CreateResponse, Response>(localVariableConfig)
+    }
+
+    /**
+     * To obtain the request config of the operation createResponse
+     *
+     * @param createResponse
+     * @return RequestConfig
+     */
+    fun createResponseRequestConfig(
+        createResponse: CreateResponse
+    ): RequestConfig<CreateResponse> {
+        val localVariableBody = createResponse
+        val localVariableQuery: MultiValueMap = mutableMapOf()
+        val localVariableHeaders: MutableMap<String, String> = mutableMapOf()
+        localVariableHeaders["Content-Type"] = "application/json"
+        localVariableHeaders["Accept"] = "application/json"
+
+        return RequestConfig(
+            method = RequestMethod.POST,
+            path = "/responses",
+            query = localVariableQuery,
+            headers = localVariableHeaders,
+            requiresAuthentication = true,
+            body = localVariableBody,
+        )
+    }
+
+    /**
+     * DELETE /responses/{response_id} Deletes a model response with the given
+     * ID.
+     *
+     * @param responseId The ID of the response to delete.
+     * @return void
+     * @throws IllegalStateException If the request is not correctly configured
+     * @throws IOException Rethrows the OkHttp execute method exception
+     * @throws UnsupportedOperationException If the API returns an informational
+     *   or redirection response
+     * @throws ClientException If the API returns a client error response
+     * @throws ServerException If the API returns a server error response
+     */
+    @Throws(
+        IllegalStateException::class,
+        IOException::class,
+        UnsupportedOperationException::class,
+        ClientException::class,
+        ServerException::class,
+    )
+    fun deleteResponse(responseId: kotlin.String): Unit {
+        val localVarResponse =
+            deleteResponseWithHttpInfo(responseId = responseId)
+
+        return when (localVarResponse.responseType) {
+            ResponseType.Success -> Unit
+            ResponseType.Informational ->
+                throw UnsupportedOperationException(
+                    "Client does not support Informational responses."
+                )
+            ResponseType.Redirection ->
+                throw UnsupportedOperationException(
+                    "Client does not support Redirection responses."
+                )
+            ResponseType.ClientError -> {
+                val localVarError = localVarResponse as ClientError<*>
+                throw ClientException(
+                    "Client error : ${localVarError.statusCode} ${localVarError.message.orEmpty()}",
+                    localVarError.statusCode,
+                    localVarResponse,
+                )
+            }
+            ResponseType.ServerError -> {
+                val localVarError = localVarResponse as ServerError<*>
+                throw ServerException(
+                    "Server error : ${localVarError.statusCode} ${localVarError.message.orEmpty()} ${localVarError.body}",
+                    localVarError.statusCode,
+                    localVarResponse,
+                )
+            }
+        }
+    }
+
+    /**
+     * DELETE /responses/{response_id} Deletes a model response with the given
+     * ID.
+     *
+     * @param responseId The ID of the response to delete.
+     * @return ApiResponse<Unit?>
+     * @throws IllegalStateException If the request is not correctly configured
+     * @throws IOException Rethrows the OkHttp execute method exception
+     */
+    @Throws(IllegalStateException::class, IOException::class)
+    fun deleteResponseWithHttpInfo(
+        responseId: kotlin.String
+    ): ApiResponse<Unit?> {
+        val localVariableConfig =
+            deleteResponseRequestConfig(responseId = responseId)
+
+        return request<Unit, Unit>(localVariableConfig)
+    }
+
+    /**
+     * To obtain the request config of the operation deleteResponse
+     *
+     * @param responseId The ID of the response to delete.
+     * @return RequestConfig
+     */
+    fun deleteResponseRequestConfig(
+        responseId: kotlin.String
+    ): RequestConfig<Unit> {
+        val localVariableBody = null
+        val localVariableQuery: MultiValueMap = mutableMapOf()
+        val localVariableHeaders: MutableMap<String, String> = mutableMapOf()
+        localVariableHeaders["Accept"] = "application/json"
+
+        return RequestConfig(
+            method = RequestMethod.DELETE,
+            path =
+                "/responses/{response_id}"
+                    .replace(
+                        "{" + "response_id" + "}",
+                        encodeURIComponent(responseId.toString()),
+                    ),
+            query = localVariableQuery,
+            headers = localVariableHeaders,
+            requiresAuthentication = true,
+            body = localVariableBody,
+        )
+    }
+
+    /**
+     * GET /responses/{response_id} Retrieves a model response with the given
+     * ID.
+     *
+     * @param responseId The ID of the response to retrieve.
+     * @param include Specify additional output data to include in the response.
+     *   Currently supported values are: - &#x60;file_search_call.results&#x60;:
+     *   Include the search results of the file search tool call. -
+     *   &#x60;message.input_image.image_url&#x60;: Include image urls from the
+     *   input message. - &#x60;computer_call_output.output.image_url&#x60;:
+     *   Include image urls from the computer call output. (optional)
+     * @return Response
+     * @throws IllegalStateException If the request is not correctly configured
+     * @throws IOException Rethrows the OkHttp execute method exception
+     * @throws UnsupportedOperationException If the API returns an informational
+     *   or redirection response
+     * @throws ClientException If the API returns a client error response
+     * @throws ServerException If the API returns a server error response
+     */
+    @Suppress("UNCHECKED_CAST")
+    @Throws(
+        IllegalStateException::class,
+        IOException::class,
+        UnsupportedOperationException::class,
+        ClientException::class,
+        ServerException::class,
+    )
+    fun getResponse(
+        responseId: kotlin.String,
+        include: kotlin.collections.List<Includable>? = null,
+    ): Response {
+        val localVarResponse =
+            getResponseWithHttpInfo(responseId = responseId, include = include)
+
+        return when (localVarResponse.responseType) {
+            ResponseType.Success ->
+                (localVarResponse as Success<*>).data as Response
+            ResponseType.Informational ->
+                throw UnsupportedOperationException(
+                    "Client does not support Informational responses."
+                )
+            ResponseType.Redirection ->
+                throw UnsupportedOperationException(
+                    "Client does not support Redirection responses."
+                )
+            ResponseType.ClientError -> {
+                val localVarError = localVarResponse as ClientError<*>
+                throw ClientException(
+                    "Client error : ${localVarError.statusCode} ${localVarError.message.orEmpty()}",
+                    localVarError.statusCode,
+                    localVarResponse,
+                )
+            }
+            ResponseType.ServerError -> {
+                val localVarError = localVarResponse as ServerError<*>
+                throw ServerException(
+                    "Server error : ${localVarError.statusCode} ${localVarError.message.orEmpty()} ${localVarError.body}",
+                    localVarError.statusCode,
+                    localVarResponse,
+                )
+            }
+        }
+    }
+
+    /**
+     * GET /responses/{response_id} Retrieves a model response with the given
+     * ID.
+     *
+     * @param responseId The ID of the response to retrieve.
+     * @param include Specify additional output data to include in the response.
+     *   Currently supported values are: - &#x60;file_search_call.results&#x60;:
+     *   Include the search results of the file search tool call. -
+     *   &#x60;message.input_image.image_url&#x60;: Include image urls from the
+     *   input message. - &#x60;computer_call_output.output.image_url&#x60;:
+     *   Include image urls from the computer call output. (optional)
+     * @return ApiResponse<Response?>
+     * @throws IllegalStateException If the request is not correctly configured
+     * @throws IOException Rethrows the OkHttp execute method exception
+     */
+    @Suppress("UNCHECKED_CAST")
+    @Throws(IllegalStateException::class, IOException::class)
+    fun getResponseWithHttpInfo(
+        responseId: kotlin.String,
+        include: kotlin.collections.List<Includable>?,
+    ): ApiResponse<Response?> {
+        val localVariableConfig =
+            getResponseRequestConfig(responseId = responseId, include = include)
+
+        return request<Unit, Response>(localVariableConfig)
+    }
+
+    /**
+     * To obtain the request config of the operation getResponse
+     *
+     * @param responseId The ID of the response to retrieve.
+     * @param include Specify additional output data to include in the response.
+     *   Currently supported values are: - &#x60;file_search_call.results&#x60;:
+     *   Include the search results of the file search tool call. -
+     *   &#x60;message.input_image.image_url&#x60;: Include image urls from the
+     *   input message. - &#x60;computer_call_output.output.image_url&#x60;:
+     *   Include image urls from the computer call output. (optional)
+     * @return RequestConfig
+     */
+    fun getResponseRequestConfig(
+        responseId: kotlin.String,
+        include: kotlin.collections.List<Includable>?,
+    ): RequestConfig<Unit> {
+        val localVariableBody = null
+        val localVariableQuery: MultiValueMap =
+            mutableMapOf<
+                    kotlin.String,
+                    kotlin.collections.List<kotlin.String>,
+                >()
+                .apply {
+                    if (include != null) {
+                        put("include", toMultiValue(include.toList(), "multi"))
+                    }
+                }
+        val localVariableHeaders: MutableMap<String, String> = mutableMapOf()
+        localVariableHeaders["Accept"] = "application/json"
+
+        return RequestConfig(
+            method = RequestMethod.GET,
+            path =
+                "/responses/{response_id}"
+                    .replace(
+                        "{" + "response_id" + "}",
+                        encodeURIComponent(responseId.toString()),
+                    ),
+            query = localVariableQuery,
+            headers = localVariableHeaders,
+            requiresAuthentication = true,
+            body = localVariableBody,
+        )
+    }
+
+    /** enum for parameter order */
+    enum class OrderListInputItems(val value: kotlin.String) {
+        @Json(name = "asc") asc("asc"),
+        @Json(name = "desc") desc("desc");
+
+        /**
+         * Override [toString()] to avoid using the enum variable name as the
+         * value, and instead use the actual value defined in the API spec file.
+         *
+         * This solves a problem when the variable name and its value are
+         * different, and ensures that the client sends the correct enum values
+         * to the server always.
+         */
+        override fun toString(): kotlin.String = "$value"
+    }
+
+    /**
+     * GET /responses/{response_id}/input_items Returns a list of input items
+     * for a given response.
+     *
+     * @param responseId The ID of the response to retrieve input items for.
+     * @param limit A limit on the number of objects to be returned. Limit can
+     *   range between 1 and 100, and the default is 20. (optional, default
+     *   to 20)
+     * @param order The order to return the input items in. Default is
+     *   &#x60;asc&#x60;. - &#x60;asc&#x60;: Return the input items in ascending
+     *   order. - &#x60;desc&#x60;: Return the input items in descending order.
+     *   (optional)
+     * @param after An item ID to list items after, used in pagination.
+     *   (optional)
+     * @param before An item ID to list items before, used in pagination.
+     *   (optional)
+     * @return ResponseItemList
+     * @throws IllegalStateException If the request is not correctly configured
+     * @throws IOException Rethrows the OkHttp execute method exception
+     * @throws UnsupportedOperationException If the API returns an informational
+     *   or redirection response
+     * @throws ClientException If the API returns a client error response
+     * @throws ServerException If the API returns a server error response
+     */
+    @Suppress("UNCHECKED_CAST")
+    @Throws(
+        IllegalStateException::class,
+        IOException::class,
+        UnsupportedOperationException::class,
+        ClientException::class,
+        ServerException::class,
+    )
+    fun listInputItems(
+        responseId: kotlin.String,
+        limit: kotlin.Int? = 20,
+        order: OrderListInputItems? = null,
+        after: kotlin.String? = null,
+        before: kotlin.String? = null,
+    ): ResponseItemList {
+        val localVarResponse =
+            listInputItemsWithHttpInfo(
+                responseId = responseId,
+                limit = limit,
+                order = order,
+                after = after,
+                before = before,
+            )
+
+        return when (localVarResponse.responseType) {
+            ResponseType.Success ->
+                (localVarResponse as Success<*>).data as ResponseItemList
+            ResponseType.Informational ->
+                throw UnsupportedOperationException(
+                    "Client does not support Informational responses."
+                )
+            ResponseType.Redirection ->
+                throw UnsupportedOperationException(
+                    "Client does not support Redirection responses."
+                )
+            ResponseType.ClientError -> {
+                val localVarError = localVarResponse as ClientError<*>
+                throw ClientException(
+                    "Client error : ${localVarError.statusCode} ${localVarError.message.orEmpty()}",
+                    localVarError.statusCode,
+                    localVarResponse,
+                )
+            }
+            ResponseType.ServerError -> {
+                val localVarError = localVarResponse as ServerError<*>
+                throw ServerException(
+                    "Server error : ${localVarError.statusCode} ${localVarError.message.orEmpty()} ${localVarError.body}",
+                    localVarError.statusCode,
+                    localVarResponse,
+                )
+            }
+        }
+    }
+
+    /**
+     * GET /responses/{response_id}/input_items Returns a list of input items
+     * for a given response.
+     *
+     * @param responseId The ID of the response to retrieve input items for.
+     * @param limit A limit on the number of objects to be returned. Limit can
+     *   range between 1 and 100, and the default is 20. (optional, default
+     *   to 20)
+     * @param order The order to return the input items in. Default is
+     *   &#x60;asc&#x60;. - &#x60;asc&#x60;: Return the input items in ascending
+     *   order. - &#x60;desc&#x60;: Return the input items in descending order.
+     *   (optional)
+     * @param after An item ID to list items after, used in pagination.
+     *   (optional)
+     * @param before An item ID to list items before, used in pagination.
+     *   (optional)
+     * @return ApiResponse<ResponseItemList?>
+     * @throws IllegalStateException If the request is not correctly configured
+     * @throws IOException Rethrows the OkHttp execute method exception
+     */
+    @Suppress("UNCHECKED_CAST")
+    @Throws(IllegalStateException::class, IOException::class)
+    fun listInputItemsWithHttpInfo(
+        responseId: kotlin.String,
+        limit: kotlin.Int?,
+        order: OrderListInputItems?,
+        after: kotlin.String?,
+        before: kotlin.String?,
+    ): ApiResponse<ResponseItemList?> {
+        val localVariableConfig =
+            listInputItemsRequestConfig(
+                responseId = responseId,
+                limit = limit,
+                order = order,
+                after = after,
+                before = before,
+            )
+
+        return request<Unit, ResponseItemList>(localVariableConfig)
+    }
+
+    /**
+     * To obtain the request config of the operation listInputItems
+     *
+     * @param responseId The ID of the response to retrieve input items for.
+     * @param limit A limit on the number of objects to be returned. Limit can
+     *   range between 1 and 100, and the default is 20. (optional, default
+     *   to 20)
+     * @param order The order to return the input items in. Default is
+     *   &#x60;asc&#x60;. - &#x60;asc&#x60;: Return the input items in ascending
+     *   order. - &#x60;desc&#x60;: Return the input items in descending order.
+     *   (optional)
+     * @param after An item ID to list items after, used in pagination.
+     *   (optional)
+     * @param before An item ID to list items before, used in pagination.
+     *   (optional)
+     * @return RequestConfig
+     */
+    fun listInputItemsRequestConfig(
+        responseId: kotlin.String,
+        limit: kotlin.Int?,
+        order: OrderListInputItems?,
+        after: kotlin.String?,
+        before: kotlin.String?,
+    ): RequestConfig<Unit> {
+        val localVariableBody = null
+        val localVariableQuery: MultiValueMap =
+            mutableMapOf<
+                    kotlin.String,
+                    kotlin.collections.List<kotlin.String>,
+                >()
+                .apply {
+                    if (limit != null) {
+                        put("limit", listOf(limit.toString()))
+                    }
+                    if (order != null) {
+                        put("order", listOf(order.value))
+                    }
+                    if (after != null) {
+                        put("after", listOf(after.toString()))
+                    }
+                    if (before != null) {
+                        put("before", listOf(before.toString()))
+                    }
+                }
+        val localVariableHeaders: MutableMap<String, String> = mutableMapOf()
+        localVariableHeaders["Accept"] = "application/json"
+
+        return RequestConfig(
+            method = RequestMethod.GET,
+            path =
+                "/responses/{response_id}/input_items"
+                    .replace(
+                        "{" + "response_id" + "}",
+                        encodeURIComponent(responseId.toString()),
+                    ),
+            query = localVariableQuery,
+            headers = localVariableHeaders,
+            requiresAuthentication = true,
+            body = localVariableBody,
+        )
+    }
+
+    private fun encodeURIComponent(uriComponent: kotlin.String): kotlin.String =
+        HttpUrl.Builder()
+            .scheme("http")
+            .host("localhost")
+            .addPathSegment(uriComponent)
+            .build()
+            .encodedPathSegments[0]
+}
diff --git a/lib/src/main/kotlin/com/openai/apis/UploadsApi.kt b/lib/src/main/kotlin/com/openai/apis/UploadsApi.kt
index c9310ac4..c58b4381 100644
--- a/lib/src/main/kotlin/com/openai/apis/UploadsApi.kt
+++ b/lib/src/main/kotlin/com/openai/apis/UploadsApi.kt
@@ -44,7 +44,8 @@ class UploadsApi(
     }
 
     /**
-     * Adds a [Part](/docs/api-reference/uploads/part-object) to an
+     * POST /uploads/{upload_id}/parts Adds a
+     * [Part](/docs/api-reference/uploads/part-object) to an
      * [Upload](/docs/api-reference/uploads/object) object. A Part represents a
      * chunk of bytes from the file you are trying to upload. Each Part can be
      * at most 64 MB, and you can add Parts until you hit the Upload maximum of
@@ -108,7 +109,8 @@ class UploadsApi(
     }
 
     /**
-     * Adds a [Part](/docs/api-reference/uploads/part-object) to an
+     * POST /uploads/{upload_id}/parts Adds a
+     * [Part](/docs/api-reference/uploads/part-object) to an
      * [Upload](/docs/api-reference/uploads/object) object. A Part represents a
      * chunk of bytes from the file you are trying to upload. Each Part can be
      * at most 64 MB, and you can add Parts until you hit the Upload maximum of
@@ -170,7 +172,8 @@ class UploadsApi(
     }
 
     /**
-     * Cancels the Upload. No Parts may be added after an Upload is cancelled.
+     * POST /uploads/{upload_id}/cancel Cancels the Upload. No Parts may be
+     * added after an Upload is cancelled.
      *
      * @param uploadId The ID of the Upload.
      * @return Upload
@@ -223,7 +226,8 @@ class UploadsApi(
     }
 
     /**
-     * Cancels the Upload. No Parts may be added after an Upload is cancelled.
+     * POST /uploads/{upload_id}/cancel Cancels the Upload. No Parts may be
+     * added after an Upload is cancelled.
      *
      * @param uploadId The ID of the Upload.
      * @return ApiResponse<Upload?>
@@ -270,14 +274,14 @@ class UploadsApi(
     }
 
     /**
-     * Completes the [Upload](/docs/api-reference/uploads/object). Within the
-     * returned Upload object, there is a nested
-     * [File](/docs/api-reference/files/object) object that is ready to use in
-     * the rest of the platform. You can specify the order of the Parts by
-     * passing in an ordered list of the Part IDs. The number of bytes uploaded
-     * upon completion must match the number of bytes initially specified when
-     * creating the Upload object. No Parts may be added after an Upload is
-     * completed.
+     * POST /uploads/{upload_id}/complete Completes the
+     * [Upload](/docs/api-reference/uploads/object). Within the returned Upload
+     * object, there is a nested [File](/docs/api-reference/files/object) object
+     * that is ready to use in the rest of the platform. You can specify the
+     * order of the Parts by passing in an ordered list of the Part IDs. The
+     * number of bytes uploaded upon completion must match the number of bytes
+     * initially specified when creating the Upload object. No Parts may be
+     * added after an Upload is completed.
      *
      * @param uploadId The ID of the Upload.
      * @param completeUploadRequest
@@ -338,14 +342,14 @@ class UploadsApi(
     }
 
     /**
-     * Completes the [Upload](/docs/api-reference/uploads/object). Within the
-     * returned Upload object, there is a nested
-     * [File](/docs/api-reference/files/object) object that is ready to use in
-     * the rest of the platform. You can specify the order of the Parts by
-     * passing in an ordered list of the Part IDs. The number of bytes uploaded
-     * upon completion must match the number of bytes initially specified when
-     * creating the Upload object. No Parts may be added after an Upload is
-     * completed.
+     * POST /uploads/{upload_id}/complete Completes the
+     * [Upload](/docs/api-reference/uploads/object). Within the returned Upload
+     * object, there is a nested [File](/docs/api-reference/files/object) object
+     * that is ready to use in the rest of the platform. You can specify the
+     * order of the Parts by passing in an ordered list of the Part IDs. The
+     * number of bytes uploaded upon completion must match the number of bytes
+     * initially specified when creating the Upload object. No Parts may be
+     * added after an Upload is completed.
      *
      * @param uploadId The ID of the Upload.
      * @param completeUploadRequest
@@ -401,16 +405,17 @@ class UploadsApi(
     }
 
     /**
-     * Creates an intermediate [Upload](/docs/api-reference/uploads/object)
-     * object that you can add [Parts](/docs/api-reference/uploads/part-object)
-     * to. Currently, an Upload can accept at most 8 GB in total and expires
-     * after an hour after you create it. Once you complete the Upload, we will
-     * create a [File](/docs/api-reference/files/object) object that contains
-     * all the parts you uploaded. This File is usable in the rest of our
-     * platform as a regular File object. For certain &#x60;purpose&#x60;s, the
-     * correct &#x60;mime_type&#x60; must be specified. Please refer to
-     * documentation for the supported MIME types for your use
-     * case: - [Assistants](/docs/assistants/tools/file-search#supported-files)
+     * POST /uploads Creates an intermediate
+     * [Upload](/docs/api-reference/uploads/object) object that you can add
+     * [Parts](/docs/api-reference/uploads/part-object) to. Currently, an Upload
+     * can accept at most 8 GB in total and expires after an hour after you
+     * create it. Once you complete the Upload, we will create a
+     * [File](/docs/api-reference/files/object) object that contains all the
+     * parts you uploaded. This File is usable in the rest of our platform as a
+     * regular File object. For certain &#x60;purpose&#x60; values, the correct
+     * &#x60;mime_type&#x60; must be specified. Please refer to documentation
+     * for the
+     * [supported MIME types for your use case](/docs/assistants/tools/file-search#supported-files).
      * For guidance on the proper filename extensions for each purpose, please
      * follow the documentation on
      * [creating a File](/docs/api-reference/files/create).
@@ -467,16 +472,17 @@ class UploadsApi(
     }
 
     /**
-     * Creates an intermediate [Upload](/docs/api-reference/uploads/object)
-     * object that you can add [Parts](/docs/api-reference/uploads/part-object)
-     * to. Currently, an Upload can accept at most 8 GB in total and expires
-     * after an hour after you create it. Once you complete the Upload, we will
-     * create a [File](/docs/api-reference/files/object) object that contains
-     * all the parts you uploaded. This File is usable in the rest of our
-     * platform as a regular File object. For certain &#x60;purpose&#x60;s, the
-     * correct &#x60;mime_type&#x60; must be specified. Please refer to
-     * documentation for the supported MIME types for your use
-     * case: - [Assistants](/docs/assistants/tools/file-search#supported-files)
+     * POST /uploads Creates an intermediate
+     * [Upload](/docs/api-reference/uploads/object) object that you can add
+     * [Parts](/docs/api-reference/uploads/part-object) to. Currently, an Upload
+     * can accept at most 8 GB in total and expires after an hour after you
+     * create it. Once you complete the Upload, we will create a
+     * [File](/docs/api-reference/files/object) object that contains all the
+     * parts you uploaded. This File is usable in the rest of our platform as a
+     * regular File object. For certain &#x60;purpose&#x60; values, the correct
+     * &#x60;mime_type&#x60; must be specified. Please refer to documentation
+     * for the
+     * [supported MIME types for your use case](/docs/assistants/tools/file-search#supported-files).
      * For guidance on the proper filename extensions for each purpose, please
      * follow the documentation on
      * [creating a File](/docs/api-reference/files/create).
diff --git a/lib/src/main/kotlin/com/openai/apis/UsageApi.kt b/lib/src/main/kotlin/com/openai/apis/UsageApi.kt
index 9ccefc37..642c59bf 100644
--- a/lib/src/main/kotlin/com/openai/apis/UsageApi.kt
+++ b/lib/src/main/kotlin/com/openai/apis/UsageApi.kt
@@ -77,7 +77,8 @@ class UsageApi(
     }
 
     /**
-     * Get audio speeches usage details for the organization.
+     * GET /organization/usage/audio_speeches Get audio speeches usage details
+     * for the organization.
      *
      * @param startTime Start time (Unix seconds) of the query time range,
      *   inclusive.
@@ -174,7 +175,8 @@ class UsageApi(
     }
 
     /**
-     * Get audio speeches usage details for the organization.
+     * GET /organization/usage/audio_speeches Get audio speeches usage details
+     * for the organization.
      *
      * @param startTime Start time (Unix seconds) of the query time range,
      *   inclusive.
@@ -361,7 +363,8 @@ class UsageApi(
     }
 
     /**
-     * Get audio transcriptions usage details for the organization.
+     * GET /organization/usage/audio_transcriptions Get audio transcriptions
+     * usage details for the organization.
      *
      * @param startTime Start time (Unix seconds) of the query time range,
      *   inclusive.
@@ -459,7 +462,8 @@ class UsageApi(
     }
 
     /**
-     * Get audio transcriptions usage details for the organization.
+     * GET /organization/usage/audio_transcriptions Get audio transcriptions
+     * usage details for the organization.
      *
      * @param startTime Start time (Unix seconds) of the query time range,
      *   inclusive.
@@ -645,7 +649,8 @@ class UsageApi(
     }
 
     /**
-     * Get code interpreter sessions usage details for the organization.
+     * GET /organization/usage/code_interpreter_sessions Get code interpreter
+     * sessions usage details for the organization.
      *
      * @param startTime Start time (Unix seconds) of the query time range,
      *   inclusive.
@@ -732,7 +737,8 @@ class UsageApi(
     }
 
     /**
-     * Get code interpreter sessions usage details for the organization.
+     * GET /organization/usage/code_interpreter_sessions Get code interpreter
+     * sessions usage details for the organization.
      *
      * @param startTime Start time (Unix seconds) of the query time range,
      *   inclusive.
@@ -890,7 +896,8 @@ class UsageApi(
     }
 
     /**
-     * Get completions usage details for the organization.
+     * GET /organization/usage/completions Get completions usage details for the
+     * organization.
      *
      * @param startTime Start time (Unix seconds) of the query time range,
      *   inclusive.
@@ -992,7 +999,8 @@ class UsageApi(
     }
 
     /**
-     * Get completions usage details for the organization.
+     * GET /organization/usage/completions Get completions usage details for the
+     * organization.
      *
      * @param startTime Start time (Unix seconds) of the query time range,
      *   inclusive.
@@ -1187,7 +1195,7 @@ class UsageApi(
     }
 
     /**
-     * Get costs details for the organization.
+     * GET /organization/costs Get costs details for the organization.
      *
      * @param startTime Start time (Unix seconds) of the query time range,
      *   inclusive.
@@ -1271,7 +1279,7 @@ class UsageApi(
     }
 
     /**
-     * Get costs details for the organization.
+     * GET /organization/costs Get costs details for the organization.
      *
      * @param startTime Start time (Unix seconds) of the query time range,
      *   inclusive.
@@ -1425,7 +1433,8 @@ class UsageApi(
     }
 
     /**
-     * Get embeddings usage details for the organization.
+     * GET /organization/usage/embeddings Get embeddings usage details for the
+     * organization.
      *
      * @param startTime Start time (Unix seconds) of the query time range,
      *   inclusive.
@@ -1522,7 +1531,8 @@ class UsageApi(
     }
 
     /**
-     * Get embeddings usage details for the organization.
+     * GET /organization/usage/embeddings Get embeddings usage details for the
+     * organization.
      *
      * @param startTime Start time (Unix seconds) of the query time range,
      *   inclusive.
@@ -1692,9 +1702,10 @@ class UsageApi(
 
     /** enum for parameter sources */
     enum class SourcesUsageImages(val value: kotlin.String) {
-        @Json(name = "image.generation") generation("image.generation"),
-        @Json(name = "image.edit") edit("image.edit"),
-        @Json(name = "image.variation") variation("image.variation");
+        @Json(name = "image.generation")
+        imagePeriodGeneration("image.generation"),
+        @Json(name = "image.edit") imagePeriodEdit("image.edit"),
+        @Json(name = "image.variation") imagePeriodVariation("image.variation");
 
         /**
          * Override [toString()] to avoid using the enum variable name as the
@@ -1747,7 +1758,8 @@ class UsageApi(
     }
 
     /**
-     * Get images usage details for the organization.
+     * GET /organization/usage/images Get images usage details for the
+     * organization.
      *
      * @param startTime Start time (Unix seconds) of the query time range,
      *   inclusive.
@@ -1854,7 +1866,8 @@ class UsageApi(
     }
 
     /**
-     * Get images usage details for the organization.
+     * GET /organization/usage/images Get images usage details for the
+     * organization.
      *
      * @param startTime Start time (Unix seconds) of the query time range,
      *   inclusive.
@@ -2067,7 +2080,8 @@ class UsageApi(
     }
 
     /**
-     * Get moderations usage details for the organization.
+     * GET /organization/usage/moderations Get moderations usage details for the
+     * organization.
      *
      * @param startTime Start time (Unix seconds) of the query time range,
      *   inclusive.
@@ -2164,7 +2178,8 @@ class UsageApi(
     }
 
     /**
-     * Get moderations usage details for the organization.
+     * GET /organization/usage/moderations Get moderations usage details for the
+     * organization.
      *
      * @param startTime Start time (Unix seconds) of the query time range,
      *   inclusive.
@@ -2348,7 +2363,8 @@ class UsageApi(
     }
 
     /**
-     * Get vector stores usage details for the organization.
+     * GET /organization/usage/vector_stores Get vector stores usage details for
+     * the organization.
      *
      * @param startTime Start time (Unix seconds) of the query time range,
      *   inclusive.
@@ -2434,7 +2450,8 @@ class UsageApi(
     }
 
     /**
-     * Get vector stores usage details for the organization.
+     * GET /organization/usage/vector_stores Get vector stores usage details for
+     * the organization.
      *
      * @param startTime Start time (Unix seconds) of the query time range,
      *   inclusive.
diff --git a/lib/src/main/kotlin/com/openai/apis/UsersApi.kt b/lib/src/main/kotlin/com/openai/apis/UsersApi.kt
index 04623720..f21ca963 100644
--- a/lib/src/main/kotlin/com/openai/apis/UsersApi.kt
+++ b/lib/src/main/kotlin/com/openai/apis/UsersApi.kt
@@ -44,7 +44,8 @@ class UsersApi(
     }
 
     /**
-     * Deletes a user from the organization.
+     * DELETE /organization/users/{user_id} Deletes a user from the
+     * organization.
      *
      * @param userId The ID of the user.
      * @return UserDeleteResponse
@@ -97,7 +98,8 @@ class UsersApi(
     }
 
     /**
-     * Deletes a user from the organization.
+     * DELETE /organization/users/{user_id} Deletes a user from the
+     * organization.
      *
      * @param userId The ID of the user.
      * @return ApiResponse<UserDeleteResponse?>
@@ -142,7 +144,7 @@ class UsersApi(
     }
 
     /**
-     * Lists all of the users in the organization.
+     * GET /organization/users Lists all of the users in the organization.
      *
      * @param limit A limit on the number of objects to be returned. Limit can
      *   range between 1 and 100, and the default is 20. (optional, default
@@ -208,7 +210,7 @@ class UsersApi(
     }
 
     /**
-     * Lists all of the users in the organization.
+     * GET /organization/users Lists all of the users in the organization.
      *
      * @param limit A limit on the number of objects to be returned. Limit can
      *   range between 1 and 100, and the default is 20. (optional, default
@@ -290,7 +292,8 @@ class UsersApi(
     }
 
     /**
-     * Modifies a user&#39;s role in the organization.
+     * POST /organization/users/{user_id} Modifies a user&#39;s role in the
+     * organization.
      *
      * @param userId The ID of the user.
      * @param userRoleUpdateRequest The new user role to modify. This must be
@@ -352,7 +355,8 @@ class UsersApi(
     }
 
     /**
-     * Modifies a user&#39;s role in the organization.
+     * POST /organization/users/{user_id} Modifies a user&#39;s role in the
+     * organization.
      *
      * @param userId The ID of the user.
      * @param userRoleUpdateRequest The new user role to modify. This must be
@@ -410,7 +414,7 @@ class UsersApi(
     }
 
     /**
-     * Retrieves a user by their identifier.
+     * GET /organization/users/{user_id} Retrieves a user by their identifier.
      *
      * @param userId The ID of the user.
      * @return User
@@ -463,7 +467,7 @@ class UsersApi(
     }
 
     /**
-     * Retrieves a user by their identifier.
+     * GET /organization/users/{user_id} Retrieves a user by their identifier.
      *
      * @param userId The ID of the user.
      * @return ApiResponse<User?>
diff --git a/lib/src/main/kotlin/com/openai/apis/VectorStoresApi.kt b/lib/src/main/kotlin/com/openai/apis/VectorStoresApi.kt
index c7518ced..f8d51c22 100644
--- a/lib/src/main/kotlin/com/openai/apis/VectorStoresApi.kt
+++ b/lib/src/main/kotlin/com/openai/apis/VectorStoresApi.kt
@@ -29,10 +29,14 @@ import com.openai.models.DeleteVectorStoreFileResponse
 import com.openai.models.DeleteVectorStoreResponse
 import com.openai.models.ListVectorStoreFilesResponse
 import com.openai.models.ListVectorStoresResponse
+import com.openai.models.UpdateVectorStoreFileAttributesRequest
 import com.openai.models.UpdateVectorStoreRequest
 import com.openai.models.VectorStoreFileBatchObject
+import com.openai.models.VectorStoreFileContentResponse
 import com.openai.models.VectorStoreFileObject
 import com.openai.models.VectorStoreObject
+import com.openai.models.VectorStoreSearchRequest
+import com.openai.models.VectorStoreSearchResultsPage
 import com.squareup.moshi.Json
 import java.io.IOException
 import okhttp3.Call
@@ -51,6 +55,7 @@ class VectorStoresApi(
     }
 
     /**
+     * POST /vector_stores/{vector_store_id}/file_batches/{batch_id}/cancel
      * Cancel a vector store file batch. This attempts to cancel the processing
      * of files in this batch as soon as possible.
      *
@@ -115,6 +120,7 @@ class VectorStoresApi(
     }
 
     /**
+     * POST /vector_stores/{vector_store_id}/file_batches/{batch_id}/cancel
      * Cancel a vector store file batch. This attempts to cancel the processing
      * of files in this batch as soon as possible.
      *
@@ -177,7 +183,7 @@ class VectorStoresApi(
     }
 
     /**
-     * Create a vector store.
+     * POST /vector_stores Create a vector store.
      *
      * @param createVectorStoreRequest
      * @return VectorStoreObject
@@ -235,7 +241,7 @@ class VectorStoresApi(
     }
 
     /**
-     * Create a vector store.
+     * POST /vector_stores Create a vector store.
      *
      * @param createVectorStoreRequest
      * @return ApiResponse<VectorStoreObject?>
@@ -283,8 +289,8 @@ class VectorStoresApi(
     }
 
     /**
-     * Create a vector store file by attaching a
-     * [File](/docs/api-reference/files) to a
+     * POST /vector_stores/{vector_store_id}/files Create a vector store file by
+     * attaching a [File](/docs/api-reference/files) to a
      * [vector store](/docs/api-reference/vector-stores/object).
      *
      * @param vectorStoreId The ID of the vector store for which to create a
@@ -347,8 +353,8 @@ class VectorStoresApi(
     }
 
     /**
-     * Create a vector store file by attaching a
-     * [File](/docs/api-reference/files) to a
+     * POST /vector_stores/{vector_store_id}/files Create a vector store file by
+     * attaching a [File](/docs/api-reference/files) to a
      * [vector store](/docs/api-reference/vector-stores/object).
      *
      * @param vectorStoreId The ID of the vector store for which to create a
@@ -409,7 +415,8 @@ class VectorStoresApi(
     }
 
     /**
-     * Create a vector store file batch.
+     * POST /vector_stores/{vector_store_id}/file_batches Create a vector store
+     * file batch.
      *
      * @param vectorStoreId The ID of the vector store for which to create a
      *   File Batch.
@@ -473,7 +480,8 @@ class VectorStoresApi(
     }
 
     /**
-     * Create a vector store file batch.
+     * POST /vector_stores/{vector_store_id}/file_batches Create a vector store
+     * file batch.
      *
      * @param vectorStoreId The ID of the vector store for which to create a
      *   File Batch.
@@ -537,7 +545,7 @@ class VectorStoresApi(
     }
 
     /**
-     * Delete a vector store.
+     * DELETE /vector_stores/{vector_store_id} Delete a vector store.
      *
      * @param vectorStoreId The ID of the vector store to delete.
      * @return DeleteVectorStoreResponse
@@ -594,7 +602,7 @@ class VectorStoresApi(
     }
 
     /**
-     * Delete a vector store.
+     * DELETE /vector_stores/{vector_store_id} Delete a vector store.
      *
      * @param vectorStoreId The ID of the vector store to delete.
      * @return ApiResponse<DeleteVectorStoreResponse?>
@@ -642,9 +650,10 @@ class VectorStoresApi(
     }
 
     /**
-     * Delete a vector store file. This will remove the file from the vector
-     * store but the file itself will not be deleted. To delete the file, use
-     * the [delete file](/docs/api-reference/files/delete) endpoint.
+     * DELETE /vector_stores/{vector_store_id}/files/{file_id} Delete a vector
+     * store file. This will remove the file from the vector store but the file
+     * itself will not be deleted. To delete the file, use the
+     * [delete file](/docs/api-reference/files/delete) endpoint.
      *
      * @param vectorStoreId The ID of the vector store that the file belongs to.
      * @param fileId The ID of the file to delete.
@@ -706,9 +715,10 @@ class VectorStoresApi(
     }
 
     /**
-     * Delete a vector store file. This will remove the file from the vector
-     * store but the file itself will not be deleted. To delete the file, use
-     * the [delete file](/docs/api-reference/files/delete) endpoint.
+     * DELETE /vector_stores/{vector_store_id}/files/{file_id} Delete a vector
+     * store file. This will remove the file from the vector store but the file
+     * itself will not be deleted. To delete the file, use the
+     * [delete file](/docs/api-reference/files/delete) endpoint.
      *
      * @param vectorStoreId The ID of the vector store that the file belongs to.
      * @param fileId The ID of the file to delete.
@@ -767,7 +777,7 @@ class VectorStoresApi(
     }
 
     /**
-     * Retrieves a vector store.
+     * GET /vector_stores/{vector_store_id} Retrieves a vector store.
      *
      * @param vectorStoreId The ID of the vector store to retrieve.
      * @return VectorStoreObject
@@ -821,7 +831,7 @@ class VectorStoresApi(
     }
 
     /**
-     * Retrieves a vector store.
+     * GET /vector_stores/{vector_store_id} Retrieves a vector store.
      *
      * @param vectorStoreId The ID of the vector store to retrieve.
      * @return ApiResponse<VectorStoreObject?>
@@ -869,7 +879,8 @@ class VectorStoresApi(
     }
 
     /**
-     * Retrieves a vector store file.
+     * GET /vector_stores/{vector_store_id}/files/{file_id} Retrieves a vector
+     * store file.
      *
      * @param vectorStoreId The ID of the vector store that the file belongs to.
      * @param fileId The ID of the file being retrieved.
@@ -930,7 +941,8 @@ class VectorStoresApi(
     }
 
     /**
-     * Retrieves a vector store file.
+     * GET /vector_stores/{vector_store_id}/files/{file_id} Retrieves a vector
+     * store file.
      *
      * @param vectorStoreId The ID of the vector store that the file belongs to.
      * @param fileId The ID of the file being retrieved.
@@ -989,7 +1001,8 @@ class VectorStoresApi(
     }
 
     /**
-     * Retrieves a vector store file batch.
+     * GET /vector_stores/{vector_store_id}/file_batches/{batch_id} Retrieves a
+     * vector store file batch.
      *
      * @param vectorStoreId The ID of the vector store that the file batch
      *   belongs to.
@@ -1052,7 +1065,8 @@ class VectorStoresApi(
     }
 
     /**
-     * Retrieves a vector store file batch.
+     * GET /vector_stores/{vector_store_id}/file_batches/{batch_id} Retrieves a
+     * vector store file batch.
      *
      * @param vectorStoreId The ID of the vector store that the file batch
      *   belongs to.
@@ -1147,6 +1161,7 @@ class VectorStoresApi(
     }
 
     /**
+     * GET /vector_stores/{vector_store_id}/file_batches/{batch_id}/files
      * Returns a list of vector store files in a batch.
      *
      * @param vectorStoreId The ID of the vector store that the files belong to.
@@ -1239,6 +1254,7 @@ class VectorStoresApi(
     }
 
     /**
+     * GET /vector_stores/{vector_store_id}/file_batches/{batch_id}/files
      * Returns a list of vector store files in a batch.
      *
      * @param vectorStoreId The ID of the vector store that the files belong to.
@@ -1406,7 +1422,8 @@ class VectorStoresApi(
     }
 
     /**
-     * Returns a list of vector store files.
+     * GET /vector_stores/{vector_store_id}/files Returns a list of vector store
+     * files.
      *
      * @param vectorStoreId The ID of the vector store that the files belong to.
      * @param limit A limit on the number of objects to be returned. Limit can
@@ -1494,7 +1511,8 @@ class VectorStoresApi(
     }
 
     /**
-     * Returns a list of vector store files.
+     * GET /vector_stores/{vector_store_id}/files Returns a list of vector store
+     * files.
      *
      * @param vectorStoreId The ID of the vector store that the files belong to.
      * @param limit A limit on the number of objects to be returned. Limit can
@@ -1634,7 +1652,7 @@ class VectorStoresApi(
     }
 
     /**
-     * Returns a list of vector stores.
+     * GET /vector_stores Returns a list of vector stores.
      *
      * @param limit A limit on the number of objects to be returned. Limit can
      *   range between 1 and 100, and the default is 20. (optional, default
@@ -1714,7 +1732,7 @@ class VectorStoresApi(
     }
 
     /**
-     * Returns a list of vector stores.
+     * GET /vector_stores Returns a list of vector stores.
      *
      * @param limit A limit on the number of objects to be returned. Limit can
      *   range between 1 and 100, and the default is 20. (optional, default
@@ -1816,7 +1834,7 @@ class VectorStoresApi(
     }
 
     /**
-     * Modifies a vector store.
+     * POST /vector_stores/{vector_store_id} Modifies a vector store.
      *
      * @param vectorStoreId The ID of the vector store to modify.
      * @param updateVectorStoreRequest
@@ -1877,7 +1895,7 @@ class VectorStoresApi(
     }
 
     /**
-     * Modifies a vector store.
+     * POST /vector_stores/{vector_store_id} Modifies a vector store.
      *
      * @param vectorStoreId The ID of the vector store to modify.
      * @param updateVectorStoreRequest
@@ -1934,6 +1952,396 @@ class VectorStoresApi(
         )
     }
 
+    /**
+     * GET /vector_stores/{vector_store_id}/files/{file_id}/content Retrieve the
+     * parsed contents of a vector store file.
+     *
+     * @param vectorStoreId The ID of the vector store.
+     * @param fileId The ID of the file within the vector store.
+     * @return VectorStoreFileContentResponse
+     * @throws IllegalStateException If the request is not correctly configured
+     * @throws IOException Rethrows the OkHttp execute method exception
+     * @throws UnsupportedOperationException If the API returns an informational
+     *   or redirection response
+     * @throws ClientException If the API returns a client error response
+     * @throws ServerException If the API returns a server error response
+     */
+    @Suppress("UNCHECKED_CAST")
+    @Throws(
+        IllegalStateException::class,
+        IOException::class,
+        UnsupportedOperationException::class,
+        ClientException::class,
+        ServerException::class,
+    )
+    fun retrieveVectorStoreFileContent(
+        vectorStoreId: kotlin.String,
+        fileId: kotlin.String,
+    ): VectorStoreFileContentResponse {
+        val localVarResponse =
+            retrieveVectorStoreFileContentWithHttpInfo(
+                vectorStoreId = vectorStoreId,
+                fileId = fileId,
+            )
+
+        return when (localVarResponse.responseType) {
+            ResponseType.Success ->
+                (localVarResponse as Success<*>).data
+                    as VectorStoreFileContentResponse
+            ResponseType.Informational ->
+                throw UnsupportedOperationException(
+                    "Client does not support Informational responses."
+                )
+            ResponseType.Redirection ->
+                throw UnsupportedOperationException(
+                    "Client does not support Redirection responses."
+                )
+            ResponseType.ClientError -> {
+                val localVarError = localVarResponse as ClientError<*>
+                throw ClientException(
+                    "Client error : ${localVarError.statusCode} ${localVarError.message.orEmpty()}",
+                    localVarError.statusCode,
+                    localVarResponse,
+                )
+            }
+            ResponseType.ServerError -> {
+                val localVarError = localVarResponse as ServerError<*>
+                throw ServerException(
+                    "Server error : ${localVarError.statusCode} ${localVarError.message.orEmpty()} ${localVarError.body}",
+                    localVarError.statusCode,
+                    localVarResponse,
+                )
+            }
+        }
+    }
+
+    /**
+     * GET /vector_stores/{vector_store_id}/files/{file_id}/content Retrieve the
+     * parsed contents of a vector store file.
+     *
+     * @param vectorStoreId The ID of the vector store.
+     * @param fileId The ID of the file within the vector store.
+     * @return ApiResponse<VectorStoreFileContentResponse?>
+     * @throws IllegalStateException If the request is not correctly configured
+     * @throws IOException Rethrows the OkHttp execute method exception
+     */
+    @Suppress("UNCHECKED_CAST")
+    @Throws(IllegalStateException::class, IOException::class)
+    fun retrieveVectorStoreFileContentWithHttpInfo(
+        vectorStoreId: kotlin.String,
+        fileId: kotlin.String,
+    ): ApiResponse<VectorStoreFileContentResponse?> {
+        val localVariableConfig =
+            retrieveVectorStoreFileContentRequestConfig(
+                vectorStoreId = vectorStoreId,
+                fileId = fileId,
+            )
+
+        return request<Unit, VectorStoreFileContentResponse>(
+            localVariableConfig
+        )
+    }
+
+    /**
+     * To obtain the request config of the operation
+     * retrieveVectorStoreFileContent
+     *
+     * @param vectorStoreId The ID of the vector store.
+     * @param fileId The ID of the file within the vector store.
+     * @return RequestConfig
+     */
+    fun retrieveVectorStoreFileContentRequestConfig(
+        vectorStoreId: kotlin.String,
+        fileId: kotlin.String,
+    ): RequestConfig<Unit> {
+        val localVariableBody = null
+        val localVariableQuery: MultiValueMap = mutableMapOf()
+        val localVariableHeaders: MutableMap<String, String> = mutableMapOf()
+        localVariableHeaders["Accept"] = "application/json"
+
+        return RequestConfig(
+            method = RequestMethod.GET,
+            path =
+                "/vector_stores/{vector_store_id}/files/{file_id}/content"
+                    .replace(
+                        "{" + "vector_store_id" + "}",
+                        encodeURIComponent(vectorStoreId.toString()),
+                    )
+                    .replace(
+                        "{" + "file_id" + "}",
+                        encodeURIComponent(fileId.toString()),
+                    ),
+            query = localVariableQuery,
+            headers = localVariableHeaders,
+            requiresAuthentication = true,
+            body = localVariableBody,
+        )
+    }
+
+    /**
+     * POST /vector_stores/{vector_store_id}/search Search a vector store for
+     * relevant chunks based on a query and file attributes filter.
+     *
+     * @param vectorStoreId The ID of the vector store to search.
+     * @param vectorStoreSearchRequest
+     * @return VectorStoreSearchResultsPage
+     * @throws IllegalStateException If the request is not correctly configured
+     * @throws IOException Rethrows the OkHttp execute method exception
+     * @throws UnsupportedOperationException If the API returns an informational
+     *   or redirection response
+     * @throws ClientException If the API returns a client error response
+     * @throws ServerException If the API returns a server error response
+     */
+    @Suppress("UNCHECKED_CAST")
+    @Throws(
+        IllegalStateException::class,
+        IOException::class,
+        UnsupportedOperationException::class,
+        ClientException::class,
+        ServerException::class,
+    )
+    fun searchVectorStore(
+        vectorStoreId: kotlin.String,
+        vectorStoreSearchRequest: VectorStoreSearchRequest,
+    ): VectorStoreSearchResultsPage {
+        val localVarResponse =
+            searchVectorStoreWithHttpInfo(
+                vectorStoreId = vectorStoreId,
+                vectorStoreSearchRequest = vectorStoreSearchRequest,
+            )
+
+        return when (localVarResponse.responseType) {
+            ResponseType.Success ->
+                (localVarResponse as Success<*>).data
+                    as VectorStoreSearchResultsPage
+            ResponseType.Informational ->
+                throw UnsupportedOperationException(
+                    "Client does not support Informational responses."
+                )
+            ResponseType.Redirection ->
+                throw UnsupportedOperationException(
+                    "Client does not support Redirection responses."
+                )
+            ResponseType.ClientError -> {
+                val localVarError = localVarResponse as ClientError<*>
+                throw ClientException(
+                    "Client error : ${localVarError.statusCode} ${localVarError.message.orEmpty()}",
+                    localVarError.statusCode,
+                    localVarResponse,
+                )
+            }
+            ResponseType.ServerError -> {
+                val localVarError = localVarResponse as ServerError<*>
+                throw ServerException(
+                    "Server error : ${localVarError.statusCode} ${localVarError.message.orEmpty()} ${localVarError.body}",
+                    localVarError.statusCode,
+                    localVarResponse,
+                )
+            }
+        }
+    }
+
+    /**
+     * POST /vector_stores/{vector_store_id}/search Search a vector store for
+     * relevant chunks based on a query and file attributes filter.
+     *
+     * @param vectorStoreId The ID of the vector store to search.
+     * @param vectorStoreSearchRequest
+     * @return ApiResponse<VectorStoreSearchResultsPage?>
+     * @throws IllegalStateException If the request is not correctly configured
+     * @throws IOException Rethrows the OkHttp execute method exception
+     */
+    @Suppress("UNCHECKED_CAST")
+    @Throws(IllegalStateException::class, IOException::class)
+    fun searchVectorStoreWithHttpInfo(
+        vectorStoreId: kotlin.String,
+        vectorStoreSearchRequest: VectorStoreSearchRequest,
+    ): ApiResponse<VectorStoreSearchResultsPage?> {
+        val localVariableConfig =
+            searchVectorStoreRequestConfig(
+                vectorStoreId = vectorStoreId,
+                vectorStoreSearchRequest = vectorStoreSearchRequest,
+            )
+
+        return request<VectorStoreSearchRequest, VectorStoreSearchResultsPage>(
+            localVariableConfig
+        )
+    }
+
+    /**
+     * To obtain the request config of the operation searchVectorStore
+     *
+     * @param vectorStoreId The ID of the vector store to search.
+     * @param vectorStoreSearchRequest
+     * @return RequestConfig
+     */
+    fun searchVectorStoreRequestConfig(
+        vectorStoreId: kotlin.String,
+        vectorStoreSearchRequest: VectorStoreSearchRequest,
+    ): RequestConfig<VectorStoreSearchRequest> {
+        val localVariableBody = vectorStoreSearchRequest
+        val localVariableQuery: MultiValueMap = mutableMapOf()
+        val localVariableHeaders: MutableMap<String, String> = mutableMapOf()
+        localVariableHeaders["Content-Type"] = "application/json"
+        localVariableHeaders["Accept"] = "application/json"
+
+        return RequestConfig(
+            method = RequestMethod.POST,
+            path =
+                "/vector_stores/{vector_store_id}/search"
+                    .replace(
+                        "{" + "vector_store_id" + "}",
+                        encodeURIComponent(vectorStoreId.toString()),
+                    ),
+            query = localVariableQuery,
+            headers = localVariableHeaders,
+            requiresAuthentication = true,
+            body = localVariableBody,
+        )
+    }
+
+    /**
+     * POST /vector_stores/{vector_store_id}/files/{file_id} Update attributes
+     * on a vector store file.
+     *
+     * @param vectorStoreId The ID of the vector store the file belongs to.
+     * @param fileId The ID of the file to update attributes.
+     * @param updateVectorStoreFileAttributesRequest
+     * @return VectorStoreFileObject
+     * @throws IllegalStateException If the request is not correctly configured
+     * @throws IOException Rethrows the OkHttp execute method exception
+     * @throws UnsupportedOperationException If the API returns an informational
+     *   or redirection response
+     * @throws ClientException If the API returns a client error response
+     * @throws ServerException If the API returns a server error response
+     */
+    @Suppress("UNCHECKED_CAST")
+    @Throws(
+        IllegalStateException::class,
+        IOException::class,
+        UnsupportedOperationException::class,
+        ClientException::class,
+        ServerException::class,
+    )
+    fun updateVectorStoreFileAttributes(
+        vectorStoreId: kotlin.String,
+        fileId: kotlin.String,
+        updateVectorStoreFileAttributesRequest:
+            UpdateVectorStoreFileAttributesRequest,
+    ): VectorStoreFileObject {
+        val localVarResponse =
+            updateVectorStoreFileAttributesWithHttpInfo(
+                vectorStoreId = vectorStoreId,
+                fileId = fileId,
+                updateVectorStoreFileAttributesRequest =
+                    updateVectorStoreFileAttributesRequest,
+            )
+
+        return when (localVarResponse.responseType) {
+            ResponseType.Success ->
+                (localVarResponse as Success<*>).data as VectorStoreFileObject
+            ResponseType.Informational ->
+                throw UnsupportedOperationException(
+                    "Client does not support Informational responses."
+                )
+            ResponseType.Redirection ->
+                throw UnsupportedOperationException(
+                    "Client does not support Redirection responses."
+                )
+            ResponseType.ClientError -> {
+                val localVarError = localVarResponse as ClientError<*>
+                throw ClientException(
+                    "Client error : ${localVarError.statusCode} ${localVarError.message.orEmpty()}",
+                    localVarError.statusCode,
+                    localVarResponse,
+                )
+            }
+            ResponseType.ServerError -> {
+                val localVarError = localVarResponse as ServerError<*>
+                throw ServerException(
+                    "Server error : ${localVarError.statusCode} ${localVarError.message.orEmpty()} ${localVarError.body}",
+                    localVarError.statusCode,
+                    localVarResponse,
+                )
+            }
+        }
+    }
+
+    /**
+     * POST /vector_stores/{vector_store_id}/files/{file_id} Update attributes
+     * on a vector store file.
+     *
+     * @param vectorStoreId The ID of the vector store the file belongs to.
+     * @param fileId The ID of the file to update attributes.
+     * @param updateVectorStoreFileAttributesRequest
+     * @return ApiResponse<VectorStoreFileObject?>
+     * @throws IllegalStateException If the request is not correctly configured
+     * @throws IOException Rethrows the OkHttp execute method exception
+     */
+    @Suppress("UNCHECKED_CAST")
+    @Throws(IllegalStateException::class, IOException::class)
+    fun updateVectorStoreFileAttributesWithHttpInfo(
+        vectorStoreId: kotlin.String,
+        fileId: kotlin.String,
+        updateVectorStoreFileAttributesRequest:
+            UpdateVectorStoreFileAttributesRequest,
+    ): ApiResponse<VectorStoreFileObject?> {
+        val localVariableConfig =
+            updateVectorStoreFileAttributesRequestConfig(
+                vectorStoreId = vectorStoreId,
+                fileId = fileId,
+                updateVectorStoreFileAttributesRequest =
+                    updateVectorStoreFileAttributesRequest,
+            )
+
+        return request<
+            UpdateVectorStoreFileAttributesRequest,
+            VectorStoreFileObject,
+        >(
+            localVariableConfig
+        )
+    }
+
+    /**
+     * To obtain the request config of the operation
+     * updateVectorStoreFileAttributes
+     *
+     * @param vectorStoreId The ID of the vector store the file belongs to.
+     * @param fileId The ID of the file to update attributes.
+     * @param updateVectorStoreFileAttributesRequest
+     * @return RequestConfig
+     */
+    fun updateVectorStoreFileAttributesRequestConfig(
+        vectorStoreId: kotlin.String,
+        fileId: kotlin.String,
+        updateVectorStoreFileAttributesRequest:
+            UpdateVectorStoreFileAttributesRequest,
+    ): RequestConfig<UpdateVectorStoreFileAttributesRequest> {
+        val localVariableBody = updateVectorStoreFileAttributesRequest
+        val localVariableQuery: MultiValueMap = mutableMapOf()
+        val localVariableHeaders: MutableMap<String, String> = mutableMapOf()
+        localVariableHeaders["Content-Type"] = "application/json"
+        localVariableHeaders["Accept"] = "application/json"
+
+        return RequestConfig(
+            method = RequestMethod.POST,
+            path =
+                "/vector_stores/{vector_store_id}/files/{file_id}"
+                    .replace(
+                        "{" + "vector_store_id" + "}",
+                        encodeURIComponent(vectorStoreId.toString()),
+                    )
+                    .replace(
+                        "{" + "file_id" + "}",
+                        encodeURIComponent(fileId.toString()),
+                    ),
+            query = localVariableQuery,
+            headers = localVariableHeaders,
+            requiresAuthentication = true,
+            body = localVariableBody,
+        )
+    }
+
     private fun encodeURIComponent(uriComponent: kotlin.String): kotlin.String =
         HttpUrl.Builder()
             .scheme("http")
diff --git a/lib/src/main/kotlin/com/openai/infrastructure/ApiClient.kt b/lib/src/main/kotlin/com/openai/infrastructure/ApiClient.kt
index e36fca42..9409822b 100644
--- a/lib/src/main/kotlin/com/openai/infrastructure/ApiClient.kt
+++ b/lib/src/main/kotlin/com/openai/infrastructure/ApiClient.kt
@@ -1,6 +1,5 @@
 package com.openai.infrastructure
 
-import com.squareup.moshi.adapter
 import java.io.File
 import java.io.IOException
 import java.net.URLConnection
@@ -13,6 +12,8 @@ import java.util.Locale
 import java.util.regex.Pattern
 import okhttp3.Call
 import okhttp3.FormBody
+import okhttp3.Headers
+import okhttp3.Headers.Builder
 import okhttp3.Headers.Companion.toHeaders
 import okhttp3.HttpUrl.Companion.toHttpUrlOrNull
 import okhttp3.MediaType.Companion.toMediaTypeOrNull
@@ -31,17 +32,19 @@ open class ApiClient(
     val client: Call.Factory = defaultClient,
 ) {
     companion object {
+        // openai-openapi-kotlin changes begin
         const val ContentType: String = "Content-Type"
         const val Accept: String = "Accept"
         const val Authorization: String = "Authorization"
         const val JsonMediaType: String = "application/json"
         const val SdpMediaType: String = "application/sdp"
-        const val TextPlainMediaType: String = "text/plain"
         const val FormDataMediaType: String = "multipart/form-data"
         const val FormUrlEncMediaType: String =
             "application/x-www-form-urlencoded"
         const val XmlMediaType: String = "application/xml"
         const val OctetMediaType: String = "application/octet-stream"
+        const val TextMediaType: String = "text/plain"
+        // openai-openapi-kotlin changes end
 
         val apiKey: MutableMap<String, String> = mutableMapOf()
         val apiKeyPrefix: MutableMap<String, String> = mutableMapOf()
@@ -62,7 +65,9 @@ open class ApiClient(
      * @param byteArray The given file
      * @return The guessed Content-Type
      */
+    // openai-openapi-kotlin changes begin
     fun guessContentTypeFromByteArray(byteArray: ByteArray): String {
+        // openai-openapi-kotlin changes end
         val contentType =
             try {
                 URLConnection.guessContentTypeFromStream(
@@ -81,12 +86,71 @@ open class ApiClient(
      * @param file The given file
      * @return The guessed Content-Type
      */
+    // openai-openapi-kotlin changes begin
     fun guessContentTypeFromFile(file: File): String {
+        // openai-openapi-kotlin changes end
         val contentType = URLConnection.guessContentTypeFromName(file.name)
         return contentType ?: "application/octet-stream"
     }
 
+    /**
+     * Adds a File to a MultipartBody.Builder Defined a helper in the
+     * requestBody method to not duplicate code It will be used when the content
+     * is a FormDataMediaType and the body of the PartConfig is a File
+     *
+     * @param name The field name to add in the request
+     * @param headers The headers that are in the PartConfig
+     * @param file The file that will be added as the field value
+     * @return The method returns Unit but the new Part is added to the Builder
+     *   that the extension function is applying on
+     * @see requestBody
+     */
+    // openai-openapi-kotlin changes begin
+    fun MultipartBody.Builder.addPartToMultiPart(
+        // openai-openapi-kotlin changes end
+        name: String,
+        headers: Map<String, String>,
+        file: File,
+    ) {
+        val partHeaders =
+            headers.toMutableMap() +
+                ("Content-Disposition" to
+                    "form-data; name=\"$name\"; filename=\"${file.name}\"")
+        val fileMediaType = guessContentTypeFromFile(file).toMediaTypeOrNull()
+        addPart(partHeaders.toHeaders(), file.asRequestBody(fileMediaType))
+    }
+
+    /**
+     * Adds any type to a MultipartBody.Builder Defined a helper in the
+     * requestBody method to not duplicate code It will be used when the content
+     * is a FormDataMediaType and the body of the PartConfig is not a File.
+     *
+     * @param name The field name to add in the request
+     * @param headers The headers that are in the PartConfig
+     * @param obj The field name to add in the request
+     * @return The method returns Unit but the new Part is added to the Builder
+     *   that the extension function is applying on
+     * @see requestBody
+     */
+    // openai-openapi-kotlin changes begin
+    fun <T> MultipartBody.Builder.addPartToMultiPart(
+        // openai-openapi-kotlin changes end
+        name: String,
+        headers: Map<String, String>,
+        obj: T?,
+    ) {
+        val partHeaders =
+            headers.toMutableMap() +
+                ("Content-Disposition" to "form-data; name=\"$name\"")
+        addPart(
+            partHeaders.toHeaders(),
+            parameterToString(obj).toRequestBody(null),
+        )
+    }
+
+    // openai-openapi-kotlin changes begin
     inline fun <reified T> requestBody(
+        // openai-openapi-kotlin changes end
         content: T,
         mediaType: String?,
     ): RequestBody =
@@ -109,28 +173,36 @@ open class ApiClient(
                         @Suppress("UNCHECKED_CAST")
                         (content as Map<String, PartConfig<*>>).forEach {
                             (name, part) ->
-                            if (part.body is File) {
-                                val partHeaders =
-                                    part.headers.toMutableMap() +
-                                        ("Content-Disposition" to
-                                            "form-data; name=\"$name\"; filename=\"${part.body.name}\"")
-                                val fileMediaType =
-                                    guessContentTypeFromFile(part.body)
-                                        .toMediaTypeOrNull()
-                                addPart(
-                                    partHeaders.toHeaders(),
-                                    part.body.asRequestBody(fileMediaType),
-                                )
-                            } else {
-                                val partHeaders =
-                                    part.headers.toMutableMap() +
-                                        ("Content-Disposition" to
-                                            "form-data; name=\"$name\"")
-                                addPart(
-                                    partHeaders.toHeaders(),
-                                    parameterToString(part.body)
-                                        .toRequestBody(null),
-                                )
+                            when (part.body) {
+                                is File ->
+                                    addPartToMultiPart(
+                                        name,
+                                        part.headers,
+                                        part.body,
+                                    )
+                                is List<*> -> {
+                                    part.body.forEach {
+                                        if (it is File) {
+                                            addPartToMultiPart(
+                                                name,
+                                                part.headers,
+                                                it,
+                                            )
+                                        } else {
+                                            addPartToMultiPart(
+                                                name,
+                                                part.headers,
+                                                it,
+                                            )
+                                        }
+                                    }
+                                }
+                                else ->
+                                    addPartToMultiPart(
+                                        name,
+                                        part.headers,
+                                        part.body,
+                                    )
                             }
                         }
                     }
@@ -148,37 +220,50 @@ open class ApiClient(
                     .build()
             }
             mediaType == null ||
-                mediaType.startsWith("application/") &&
-                    mediaType.endsWith("json") ->
+                // openai-openapi-kotlin changes begin
+                mediaType == JsonMediaType ->
+                // openai-openapi-kotlin changes end
                 if (content == null) {
                     EMPTY_REQUEST
                 } else {
+                    // openai-openapi-kotlin changes begin
                     Serializer.serialize<T>(content)
+                        // openai-openapi-kotlin changes end
                         .toRequestBody(
                             (mediaType ?: JsonMediaType).toMediaTypeOrNull()
                         )
                 }
-            mediaType.startsWith("application/") && mediaType.endsWith("sdp") ->
+            // openai-openapi-kotlin changes begin
+            mediaType == SdpMediaType ->
                 content
                     ?.toString()
+                    // The following `?.toByteArray()` line prevents:
+                    // `This API method only accepts 'application/sdp' requests,
+                    // but you specified the header 'Content-Type:
+                    // application/sdp; charset=utf-8'`
                     ?.toByteArray()
                     ?.toRequestBody(mediaType.toMediaTypeOrNull())
                     ?: EMPTY_REQUEST
+            // openai-openapi-kotlin changes end
             mediaType == XmlMediaType ->
                 throw UnsupportedOperationException(
                     "xml not currently supported."
                 )
-            mediaType == OctetMediaType && content is ByteArray ->
-                content.toRequestBody(OctetMediaType.toMediaTypeOrNull())
+            mediaType == TextMediaType && content is String ->
+                content.toRequestBody(TextMediaType.toMediaTypeOrNull())
             // TODO: this should be extended with other serializers
             else ->
                 throw UnsupportedOperationException(
-                    "requestBody currently only supports JSON body, SDP body, byte body, and File body."
+                    // openai-openapi-kotlin changes begin
+                    "requestBody currently only supports JSON body, SDP body, text body, byte body and File body."
+                    // openai-openapi-kotlin changes end
                 )
         }
 
     @OptIn(ExperimentalStdlibApi::class)
+    // openai-openapi-kotlin changes begin
     inline fun <reified T : Any?> responseBody(
+        // openai-openapi-kotlin changes end
         response: Response,
         mediaType: String? = JsonMediaType,
     ): T? {
@@ -233,7 +318,7 @@ open class ApiClient(
             }
 
             // Attention: if you are developing an android app that supports API
-            // Level 25 and bellow, please check flag
+            // Level 25 and below, please check flag
             // supportAndroidApiLevel25AndBelow in
             // https://openapi-generator.tech/docs/generators/kotlin#config-options
             val tempFile =
@@ -249,25 +334,29 @@ open class ApiClient(
 
         return when {
             mediaType == null ||
-                (mediaType.startsWith("application/") &&
-                    mediaType.endsWith("json")) -> {
+                // openai-openapi-kotlin changes begin
+                mediaType == JsonMediaType -> {
+                // openai-openapi-kotlin changes end
                 val bodyContent = body.string()
                 if (bodyContent.isEmpty()) {
                     return null
                 }
+                // openai-openapi-kotlin changes begin
                 Serializer.deserialize<T>(bodyContent)
+                // openai-openapi-kotlin changes end
             }
-            mediaType.startsWith("text/") && mediaType.endsWith("plain") ->
-                body.string() as T
             mediaType == OctetMediaType -> body.bytes() as? T
+            mediaType == TextMediaType -> body.string() as? T
             else ->
                 throw UnsupportedOperationException(
-                    "responseBody currently only supports JSON body, byte body, and text body."
+                    "responseBody currently only supports JSON body, text body and byte body."
                 )
         }
     }
 
+    // openai-openapi-kotlin changes begin
     fun <T> updateAuthParams(requestConfig: RequestConfig<T>) {
+        // openai-openapi-kotlin changes end
         if (requestConfig.headers[Authorization].isNullOrEmpty()) {
             accessToken?.let { accessToken ->
                 requestConfig.headers[Authorization] = "Bearer $accessToken"
@@ -275,7 +364,9 @@ open class ApiClient(
         }
     }
 
+    // openai-openapi-kotlin changes begin
     inline fun <reified I, reified T : Any?> request(
+        // openai-openapi-kotlin changes end
         requestConfig: RequestConfig<I>
     ): ApiResponse<T?> {
         val httpUrl =
@@ -353,9 +444,11 @@ open class ApiClient(
                         Request.Builder().url(url).method("OPTIONS", null)
                 }
                 .apply {
+                    val headersBuilder = Headers.Builder()
                     headers.forEach { header ->
-                        addHeader(header.key, header.value)
+                        headersBuilder.add(header.key, header.value)
                     }
+                    this.headers(headersBuilder.build())
                 }
                 .build()
 
@@ -398,7 +491,9 @@ open class ApiClient(
         }
     }
 
+    // openai-openapi-kotlin changes begin
     fun parameterToString(value: Any?): String =
+        // openai-openapi-kotlin changes end
         when (value) {
             null -> ""
             is Array<*> -> toMultiValue(value, "csv").toString()
@@ -420,9 +515,9 @@ open class ApiClient(
         formatter. It also easily allows to provide a simple way to define a custom date format pattern
         inside a gson/moshi adapter.
         */
-        return Serializer.moshi
-            .adapter(T::class.java)
-            .toJson(value)
+        // openai-openapi-kotlin changes begin
+        return Serializer.serialize<T>(value)
+            // openai-openapi-kotlin changes end
             .replace("\"", "")
     }
 }
diff --git a/lib/src/main/kotlin/com/openai/infrastructure/ApiResponse.kt b/lib/src/main/kotlin/com/openai/infrastructure/ApiResponse.kt
index 96abe925..e96259c9 100644
--- a/lib/src/main/kotlin/com/openai/infrastructure/ApiResponse.kt
+++ b/lib/src/main/kotlin/com/openai/infrastructure/ApiResponse.kt
@@ -43,5 +43,5 @@ class ServerError<T>(
     val message: String? = null,
     val body: Any? = null,
     override val statusCode: Int = -1,
-    override val headers: Map<String, List<String>>,
+    override val headers: Map<String, List<String>> = mapOf(),
 ) : ApiResponse<T>(ResponseType.ServerError)
diff --git a/lib/src/main/kotlin/com/openai/infrastructure/BigDecimalAdapter.kt b/lib/src/main/kotlin/com/openai/infrastructure/BigDecimalAdapter.kt
index 15497b42..7f37e0e2 100644
--- a/lib/src/main/kotlin/com/openai/infrastructure/BigDecimalAdapter.kt
+++ b/lib/src/main/kotlin/com/openai/infrastructure/BigDecimalAdapter.kt
@@ -4,6 +4,7 @@ import com.squareup.moshi.FromJson
 import com.squareup.moshi.ToJson
 import java.math.BigDecimal
 
+// openai-openapi-kotlin changes begin
 /**
  * This Adapter was obviously added because...
  *
@@ -37,7 +38,9 @@ import java.math.BigDecimal
  *
  * Changing this to return Double causes OpenAI to stop complaining.
  */
+// openai-openapi-kotlin changes end
 class BigDecimalAdapter {
+    // openai-openapi-kotlin changes begin
     /*
     @ToJson
     fun toJson(value: BigDecimal): String {
@@ -50,6 +53,8 @@ class BigDecimalAdapter {
         return value.toDouble()
     }
 
+    // openai-openapi-kotlin changes end
+
     @FromJson
     fun fromJson(value: String): BigDecimal {
         return BigDecimal(value)
diff --git a/lib/src/main/kotlin/com/openai/infrastructure/BigIntegerAdapter.kt b/lib/src/main/kotlin/com/openai/infrastructure/BigIntegerAdapter.kt
index 11413a15..cd7d2a85 100644
--- a/lib/src/main/kotlin/com/openai/infrastructure/BigIntegerAdapter.kt
+++ b/lib/src/main/kotlin/com/openai/infrastructure/BigIntegerAdapter.kt
@@ -4,6 +4,7 @@ import com.squareup.moshi.FromJson
 import com.squareup.moshi.ToJson
 import java.math.BigInteger
 
+// openai-openapi-kotlin changes begin
 /**
  * This Adapter was obviously added because...
  *
@@ -37,7 +38,9 @@ import java.math.BigInteger
  *
  * Changing this to return Int causes OpenAI to stop complaining.
  */
+// openai-openapi-kotlin changes end
 class BigIntegerAdapter {
+    // openai-openapi-kotlin changes begin
     /*
     @ToJson
     fun toJson(value: BigInteger): String {
@@ -50,6 +53,8 @@ class BigIntegerAdapter {
         return value.toInt()
     }
 
+    // openai-openapi-kotlin changes end
+
     @FromJson
     fun fromJson(value: String): BigInteger {
         return BigInteger(value)
diff --git a/lib/src/main/kotlin/com/openai/infrastructure/Serializer.kt b/lib/src/main/kotlin/com/openai/infrastructure/Serializer.kt
index 0759c3a2..df1dc0c1 100644
--- a/lib/src/main/kotlin/com/openai/infrastructure/Serializer.kt
+++ b/lib/src/main/kotlin/com/openai/infrastructure/Serializer.kt
@@ -11,6 +11,7 @@ import com.squareup.moshi.adapter
 import com.squareup.moshi.kotlin.reflect.KotlinJsonAdapterFactory
 import java.lang.reflect.Type
 
+// openai-openapi-kotlin changes begin
 //
 // region SerializeNull https://stackoverflow.com/a/71877976/252308
 //
@@ -66,25 +67,31 @@ annotation class SerializeNull {
 //
 // endregion
 //
+// openai-openapi-kotlin changes end
 
 object Serializer {
     @JvmStatic
     val moshiBuilder: Moshi.Builder =
         Moshi.Builder()
+            // openai-openapi-kotlin changes begin
             .add(SerializeNull.Companion.Factory())
+            // openai-openapi-kotlin changes end
             .add(OffsetDateTimeAdapter())
             .add(LocalDateTimeAdapter())
             .add(LocalDateAdapter())
             .add(UUIDAdapter())
             .add(ByteArrayAdapter())
             .add(URIAdapter())
+            // openai-openapi-kotlin changes begin
             .add(RealtimeSessionMaxResponseOutputTokensAdapter())
+            // openai-openapi-kotlin changes end
             .add(KotlinJsonAdapterFactory())
             .add(BigDecimalAdapter())
             .add(BigIntegerAdapter())
 
     @JvmStatic val moshi: Moshi by lazy { moshiBuilder.build() }
 
+    // openai-openapi-kotlin changes begin
     @OptIn(ExperimentalStdlibApi::class)
     inline fun <reified T> deserialize(json: String?): T? {
         return if (json.isNullOrBlank()) null
@@ -95,4 +102,5 @@ object Serializer {
     inline fun <reified T> serialize(obj: T): String {
         return moshi.adapter<T>().toJson(obj)
     }
+    // openai-openapi-kotlin changes end
 }
diff --git a/lib/src/main/kotlin/com/openai/models/Annotation.kt b/lib/src/main/kotlin/com/openai/models/Annotation.kt
new file mode 100644
index 00000000..7a20bcb4
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/Annotation.kt
@@ -0,0 +1,63 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * @param type The type of the file citation. Always `file_citation`.
+ * @param index The index of the file in the list of files.
+ * @param fileId The ID of the file.
+ * @param url The URL of the web resource.
+ * @param title The title of the web resource.
+ * @param startIndex The index of the first character of the URL citation in the
+ *   message.
+ * @param endIndex The index of the last character of the URL citation in the
+ *   message.
+ */
+data class Annotation(
+
+    /* The type of the file citation. Always `file_citation`.  */
+    @Json(name = "type") val type: Annotation.Type,
+
+    /* The index of the file in the list of files.  */
+    @Json(name = "index") val index: kotlin.Int,
+
+    /* The ID of the file.  */
+    @Json(name = "file_id") val fileId: kotlin.String,
+
+    /* The URL of the web resource.  */
+    @Json(name = "url") val url: kotlin.String,
+
+    /* The title of the web resource.  */
+    @Json(name = "title") val title: kotlin.String,
+
+    /* The index of the first character of the URL citation in the message.  */
+    @Json(name = "start_index") val startIndex: kotlin.Int,
+
+    /* The index of the last character of the URL citation in the message.  */
+    @Json(name = "end_index") val endIndex: kotlin.Int,
+) {
+
+    /**
+     * The type of the file citation. Always `file_citation`.
+     *
+     * Values: file_citation,url_citation,file_path
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "file_citation") file_citation("file_citation"),
+        @Json(name = "url_citation") url_citation("url_citation"),
+        @Json(name = "file_path") file_path("file_path"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/AssistantObject.kt b/lib/src/main/kotlin/com/openai/models/AssistantObject.kt
index 7a5e2574..87122b07 100644
--- a/lib/src/main/kotlin/com/openai/models/AssistantObject.kt
+++ b/lib/src/main/kotlin/com/openai/models/AssistantObject.kt
@@ -91,7 +91,7 @@ data class AssistantObject(
     @Json(name = "top_p")
     val topP: java.math.BigDecimal? = java.math.BigDecimal("1"),
     @Json(name = "response_format")
-    val responseFormat: AssistantObjectResponseFormat? = null,
+    val responseFormat: AssistantsApiResponseFormatOption? = null,
 ) {
 
     /**
diff --git a/lib/src/main/kotlin/com/openai/models/AssistantObjectResponseFormat.kt b/lib/src/main/kotlin/com/openai/models/AssistantObjectResponseFormat.kt
deleted file mode 100644
index 4f4baf3f..00000000
--- a/lib/src/main/kotlin/com/openai/models/AssistantObjectResponseFormat.kt
+++ /dev/null
@@ -1,38 +0,0 @@
-/**
- * Please note: This class is auto generated by OpenAPI Generator
- * (https://openapi-generator.tech). Do not edit this file manually.
- */
-@file:Suppress(
-    "ArrayInDataClass",
-    "EnumEntryName",
-    "RemoveRedundantQualifierName",
-    "UnusedImport",
-)
-
-package com.openai.models
-
-import com.squareup.moshi.Json
-import com.squareup.moshi.JsonClass
-
-/**
- * @param type The type of response format being defined: `json_schema`
- * @param jsonSchema
- */
-data class AssistantObjectResponseFormat(
-
-    /* The type of response format being defined: `json_schema` */
-    @Json(name = "type") val type: AssistantObjectResponseFormat.Type,
-    @Json(name = "json_schema")
-    val jsonSchema: ResponseFormatJsonSchemaJsonSchema,
-) {
-
-    /**
-     * The type of response format being defined: `json_schema`
-     *
-     * Values: json_schema
-     */
-    @JsonClass(generateAdapter = false)
-    enum class Type(val value: kotlin.String) {
-        @Json(name = "json_schema") json_schema("json_schema")
-    }
-}
diff --git a/lib/src/main/kotlin/com/openai/models/AssistantSupportedModels.kt b/lib/src/main/kotlin/com/openai/models/AssistantSupportedModels.kt
index 6983b25b..30a182e9 100644
--- a/lib/src/main/kotlin/com/openai/models/AssistantSupportedModels.kt
+++ b/lib/src/main/kotlin/com/openai/models/AssistantSupportedModels.kt
@@ -16,7 +16,7 @@ import com.squareup.moshi.JsonClass
 
 /**
  * Values:
- * o3MinusMini,o3MinusMiniMinus2025Minus01Minus31,o1,o1Minus2024Minus12Minus17,gptMinus4o,gptMinus4oMinus2024Minus11Minus20,gptMinus4oMinus2024Minus08Minus06,gptMinus4oMinus2024Minus05Minus13,gptMinus4oMinusMini,gptMinus4oMinusMiniMinus2024Minus07Minus18,gptMinus4MinusTurbo,gptMinus4MinusTurboMinus2024Minus04Minus09,gptMinus4Minus0125MinusPreview,gptMinus4MinusTurboMinusPreview,gptMinus4Minus1106MinusPreview,gptMinus4MinusVisionMinusPreview,gptMinus4,gptMinus4Minus0314,gptMinus4Minus0613,gptMinus4Minus32k,gptMinus4Minus32kMinus0314,gptMinus4Minus32kMinus0613,gptMinus3Period5MinusTurbo,gptMinus3Period5MinusTurboMinus16k,gptMinus3Period5MinusTurboMinus0613,gptMinus3Period5MinusTurboMinus1106,gptMinus3Period5MinusTurboMinus0125,gptMinus3Period5MinusTurboMinus16kMinus0613
+ * o3MinusMini,o3MinusMiniMinus2025Minus01Minus31,o1,o1Minus2024Minus12Minus17,gptMinus4o,gptMinus4oMinus2024Minus11Minus20,gptMinus4oMinus2024Minus08Minus06,gptMinus4oMinus2024Minus05Minus13,gptMinus4oMinusMini,gptMinus4oMinusMiniMinus2024Minus07Minus18,gptMinus4Period5MinusPreview,gptMinus4Period5MinusPreviewMinus2025Minus02Minus27,gptMinus4MinusTurbo,gptMinus4MinusTurboMinus2024Minus04Minus09,gptMinus4Minus0125MinusPreview,gptMinus4MinusTurboMinusPreview,gptMinus4Minus1106MinusPreview,gptMinus4MinusVisionMinusPreview,gptMinus4,gptMinus4Minus0314,gptMinus4Minus0613,gptMinus4Minus32k,gptMinus4Minus32kMinus0314,gptMinus4Minus32kMinus0613,gptMinus3Period5MinusTurbo,gptMinus3Period5MinusTurboMinus16k,gptMinus3Period5MinusTurboMinus0613,gptMinus3Period5MinusTurboMinus1106,gptMinus3Period5MinusTurboMinus0125,gptMinus3Period5MinusTurboMinus16kMinus0613
  */
 @JsonClass(generateAdapter = false)
 enum class AssistantSupportedModels(val value: kotlin.String) {
@@ -36,6 +36,12 @@ enum class AssistantSupportedModels(val value: kotlin.String) {
     @Json(name = "gpt-4o-mini") gptMinus4oMinusMini("gpt-4o-mini"),
     @Json(name = "gpt-4o-mini-2024-07-18")
     gptMinus4oMinusMiniMinus2024Minus07Minus18("gpt-4o-mini-2024-07-18"),
+    @Json(name = "gpt-4.5-preview")
+    gptMinus4Period5MinusPreview("gpt-4.5-preview"),
+    @Json(name = "gpt-4.5-preview-2025-02-27")
+    gptMinus4Period5MinusPreviewMinus2025Minus02Minus27(
+        "gpt-4.5-preview-2025-02-27"
+    ),
     @Json(name = "gpt-4-turbo") gptMinus4MinusTurbo("gpt-4-turbo"),
     @Json(name = "gpt-4-turbo-2024-04-09")
     gptMinus4MinusTurboMinus2024Minus04Minus09("gpt-4-turbo-2024-04-09"),
diff --git a/lib/src/main/kotlin/com/openai/models/AssistantsApiResponseFormatOption.kt b/lib/src/main/kotlin/com/openai/models/AssistantsApiResponseFormatOption.kt
index cc2e7e33..dcc48c3e 100644
--- a/lib/src/main/kotlin/com/openai/models/AssistantsApiResponseFormatOption.kt
+++ b/lib/src/main/kotlin/com/openai/models/AssistantsApiResponseFormatOption.kt
@@ -32,19 +32,18 @@ import com.squareup.moshi.JsonClass
  * indicates the generation exceeded `max_tokens` or the conversation exceeded
  * the max context length.
  *
- * @param type The type of response format being defined: `text`
+ * @param type The type of response format being defined. Always `text`.
  * @param jsonSchema
  */
 data class AssistantsApiResponseFormatOption(
 
-    /* The type of response format being defined: `text` */
+    /* The type of response format being defined. Always `text`. */
     @Json(name = "type") val type: AssistantsApiResponseFormatOption.Type,
-    @Json(name = "json_schema")
-    val jsonSchema: ResponseFormatJsonSchemaJsonSchema,
+    @Json(name = "json_schema") val jsonSchema: JSONSchema,
 ) {
 
     /**
-     * The type of response format being defined: `text`
+     * The type of response format being defined. Always `text`.
      *
      * Values: text,json_object,json_schema
      */
diff --git a/lib/src/main/kotlin/com/openai/models/AudioResponseFormat.kt b/lib/src/main/kotlin/com/openai/models/AudioResponseFormat.kt
index fcf2a070..40cb131a 100644
--- a/lib/src/main/kotlin/com/openai/models/AudioResponseFormat.kt
+++ b/lib/src/main/kotlin/com/openai/models/AudioResponseFormat.kt
@@ -16,7 +16,8 @@ import com.squareup.moshi.JsonClass
 
 /**
  * The format of the output, in one of these options: `json`, `text`, `srt`,
- * `verbose_json`, or `vtt`.
+ * `verbose_json`, or `vtt`. For `gpt-4o-transcribe` and
+ * `gpt-4o-mini-transcribe`, the only supported format is `json`.
  *
  * Values: json,text,srt,verbose_json,vtt
  */
diff --git a/lib/src/main/kotlin/com/openai/models/ChatCompletionDeleted.kt b/lib/src/main/kotlin/com/openai/models/ChatCompletionDeleted.kt
new file mode 100644
index 00000000..a1ee695c
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ChatCompletionDeleted.kt
@@ -0,0 +1,44 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * @param `object` The type of object being deleted.
+ * @param id The ID of the chat completion that was deleted.
+ * @param deleted Whether the chat completion was deleted.
+ */
+data class ChatCompletionDeleted(
+
+    /* The type of object being deleted. */
+    @Json(name = "object") val `object`: ChatCompletionDeleted.`Object`,
+
+    /* The ID of the chat completion that was deleted. */
+    @Json(name = "id") val id: kotlin.String,
+
+    /* Whether the chat completion was deleted. */
+    @Json(name = "deleted") val deleted: kotlin.Boolean,
+) {
+
+    /**
+     * The type of object being deleted.
+     *
+     * Values: chatPeriodCompletionPeriodDeleted
+     */
+    @JsonClass(generateAdapter = false)
+    enum class `Object`(val value: kotlin.String) {
+        @Json(name = "chat.completion.deleted")
+        chatPeriodCompletionPeriodDeleted("chat.completion.deleted")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ChatCompletionList.kt b/lib/src/main/kotlin/com/openai/models/ChatCompletionList.kt
new file mode 100644
index 00000000..c75d3143
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ChatCompletionList.kt
@@ -0,0 +1,55 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * An object representing a list of Chat Completions.
+ *
+ * @param `object` The type of this object. It is always set to \"list\".
+ * @param `data` An array of chat completion objects.
+ * @param firstId The identifier of the first chat completion in the data array.
+ * @param lastId The identifier of the last chat completion in the data array.
+ * @param hasMore Indicates whether there are more Chat Completions available.
+ */
+data class ChatCompletionList(
+
+    /* The type of this object. It is always set to \"list\".  */
+    @Json(name = "object")
+    val `object`: ChatCompletionList.`Object` = `Object`.list,
+
+    /* An array of chat completion objects.  */
+    @Json(name = "data")
+    val `data`: kotlin.collections.List<CreateChatCompletionResponse>,
+
+    /* The identifier of the first chat completion in the data array. */
+    @Json(name = "first_id") val firstId: kotlin.String,
+
+    /* The identifier of the last chat completion in the data array. */
+    @Json(name = "last_id") val lastId: kotlin.String,
+
+    /* Indicates whether there are more Chat Completions available. */
+    @Json(name = "has_more") val hasMore: kotlin.Boolean,
+) {
+
+    /**
+     * The type of this object. It is always set to \"list\".
+     *
+     * Values: list
+     */
+    @JsonClass(generateAdapter = false)
+    enum class `Object`(val value: kotlin.String) {
+        @Json(name = "list") list("list")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ChatCompletionMessageList.kt b/lib/src/main/kotlin/com/openai/models/ChatCompletionMessageList.kt
new file mode 100644
index 00000000..d76b125c
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ChatCompletionMessageList.kt
@@ -0,0 +1,55 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * An object representing a list of chat completion messages.
+ *
+ * @param `object` The type of this object. It is always set to \"list\".
+ * @param `data` An array of chat completion message objects.
+ * @param firstId The identifier of the first chat message in the data array.
+ * @param lastId The identifier of the last chat message in the data array.
+ * @param hasMore Indicates whether there are more chat messages available.
+ */
+data class ChatCompletionMessageList(
+
+    /* The type of this object. It is always set to \"list\".  */
+    @Json(name = "object")
+    val `object`: ChatCompletionMessageList.`Object` = `Object`.list,
+
+    /* An array of chat completion message objects.  */
+    @Json(name = "data")
+    val `data`: kotlin.collections.List<ChatCompletionMessageListDataInner>,
+
+    /* The identifier of the first chat message in the data array. */
+    @Json(name = "first_id") val firstId: kotlin.String,
+
+    /* The identifier of the last chat message in the data array. */
+    @Json(name = "last_id") val lastId: kotlin.String,
+
+    /* Indicates whether there are more chat messages available. */
+    @Json(name = "has_more") val hasMore: kotlin.Boolean,
+) {
+
+    /**
+     * The type of this object. It is always set to \"list\".
+     *
+     * Values: list
+     */
+    @JsonClass(generateAdapter = false)
+    enum class `Object`(val value: kotlin.String) {
+        @Json(name = "list") list("list")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ChatCompletionMessageListDataInner.kt b/lib/src/main/kotlin/com/openai/models/ChatCompletionMessageListDataInner.kt
new file mode 100644
index 00000000..b725f299
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ChatCompletionMessageListDataInner.kt
@@ -0,0 +1,70 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * @param content The contents of the message.
+ * @param refusal The refusal message generated by the model.
+ * @param role The role of the author of this message.
+ * @param id The identifier of the chat message.
+ * @param toolCalls The tool calls generated by the model, such as function
+ *   calls.
+ * @param annotations Annotations for the message, when applicable, as when
+ *   using the [web search tool](/docs/guides/tools-web-search?api-mode=chat).
+ * @param functionCall
+ * @param audio
+ */
+data class ChatCompletionMessageListDataInner(
+
+    /* The contents of the message. */
+    @Json(name = "content") val content: kotlin.String?,
+
+    /* The refusal message generated by the model. */
+    @Json(name = "refusal") val refusal: kotlin.String?,
+
+    /* The role of the author of this message. */
+    @Json(name = "role") val role: ChatCompletionMessageListDataInner.Role,
+
+    /* The identifier of the chat message. */
+    @Json(name = "id") val id: kotlin.String,
+
+    /* The tool calls generated by the model, such as function calls. */
+    @Json(name = "tool_calls")
+    val toolCalls: kotlin.collections.List<ChatCompletionMessageToolCall>? =
+        null,
+
+    /* Annotations for the message, when applicable, as when using the [web search tool](/docs/guides/tools-web-search?api-mode=chat).  */
+    @Json(name = "annotations")
+    val annotations:
+        kotlin.collections.List<
+            ChatCompletionResponseMessageAnnotationsInner
+        >? =
+        null,
+    @Json(name = "function_call")
+    @Deprecated(message = "This property is deprecated.")
+    val functionCall: ChatCompletionResponseMessageFunctionCall? = null,
+    @Json(name = "audio") val audio: ChatCompletionResponseMessageAudio? = null,
+) {
+
+    /**
+     * The role of the author of this message.
+     *
+     * Values: assistant
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Role(val value: kotlin.String) {
+        @Json(name = "assistant") assistant("assistant")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ChatCompletionRequestMessageContentPartFile.kt b/lib/src/main/kotlin/com/openai/models/ChatCompletionRequestMessageContentPartFile.kt
new file mode 100644
index 00000000..5ea704e9
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ChatCompletionRequestMessageContentPartFile.kt
@@ -0,0 +1,41 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Learn about [file inputs](/docs/guides/text) for text generation.
+ *
+ * @param type The type of the content part. Always `file`.
+ * @param file
+ */
+data class ChatCompletionRequestMessageContentPartFile(
+
+    /* The type of the content part. Always `file`. */
+    @Json(name = "type")
+    val type: ChatCompletionRequestMessageContentPartFile.Type,
+    @Json(name = "file")
+    val file: ChatCompletionRequestMessageContentPartFileFile,
+) {
+
+    /**
+     * The type of the content part. Always `file`.
+     *
+     * Values: file
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "file") file("file")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ChatCompletionRequestMessageContentPartFileFile.kt b/lib/src/main/kotlin/com/openai/models/ChatCompletionRequestMessageContentPartFileFile.kt
new file mode 100644
index 00000000..fb35aab1
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ChatCompletionRequestMessageContentPartFileFile.kt
@@ -0,0 +1,33 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+
+/**
+ * @param filename The name of the file, used when passing the file to the model
+ *   as a string.
+ * @param fileData The base64 encoded file data, used when passing the file to
+ *   the model as a string.
+ * @param fileId The ID of an uploaded file to use as input.
+ */
+data class ChatCompletionRequestMessageContentPartFileFile(
+
+    /* The name of the file, used when passing the file to the model as a  string.  */
+    @Json(name = "filename") val filename: kotlin.String? = null,
+
+    /* The base64 encoded file data, used when passing the file to the model  as a string.  */
+    @Json(name = "file_data") val fileData: kotlin.String? = null,
+
+    /* The ID of an uploaded file to use as input.  */
+    @Json(name = "file_id") val fileId: kotlin.String? = null,
+) {}
diff --git a/lib/src/main/kotlin/com/openai/models/ChatCompletionRequestUserMessageContentPart.kt b/lib/src/main/kotlin/com/openai/models/ChatCompletionRequestUserMessageContentPart.kt
index 38bd2fba..f126151f 100644
--- a/lib/src/main/kotlin/com/openai/models/ChatCompletionRequestUserMessageContentPart.kt
+++ b/lib/src/main/kotlin/com/openai/models/ChatCompletionRequestUserMessageContentPart.kt
@@ -19,6 +19,7 @@ import com.squareup.moshi.JsonClass
  * @param text The text content.
  * @param imageUrl
  * @param inputAudio
+ * @param file
  */
 data class ChatCompletionRequestUserMessageContentPart(
 
@@ -32,17 +33,20 @@ data class ChatCompletionRequestUserMessageContentPart(
     val imageUrl: ChatCompletionRequestMessageContentPartImageImageUrl,
     @Json(name = "input_audio")
     val inputAudio: ChatCompletionRequestMessageContentPartAudioInputAudio,
+    @Json(name = "file")
+    val file: ChatCompletionRequestMessageContentPartFileFile,
 ) {
 
     /**
      * The type of the content part.
      *
-     * Values: text,image_url,input_audio
+     * Values: text,image_url,input_audio,file
      */
     @JsonClass(generateAdapter = false)
     enum class Type(val value: kotlin.String) {
         @Json(name = "text") text("text"),
         @Json(name = "image_url") image_url("image_url"),
         @Json(name = "input_audio") input_audio("input_audio"),
+        @Json(name = "file") file("file"),
     }
 }
diff --git a/lib/src/main/kotlin/com/openai/models/ChatCompletionResponseMessage.kt b/lib/src/main/kotlin/com/openai/models/ChatCompletionResponseMessage.kt
index 862fe6ab..7727c3bd 100644
--- a/lib/src/main/kotlin/com/openai/models/ChatCompletionResponseMessage.kt
+++ b/lib/src/main/kotlin/com/openai/models/ChatCompletionResponseMessage.kt
@@ -22,6 +22,8 @@ import com.squareup.moshi.JsonClass
  * @param role The role of the author of this message.
  * @param toolCalls The tool calls generated by the model, such as function
  *   calls.
+ * @param annotations Annotations for the message, when applicable, as when
+ *   using the [web search tool](/docs/guides/tools-web-search?api-mode=chat).
  * @param functionCall
  * @param audio
  */
@@ -40,6 +42,14 @@ data class ChatCompletionResponseMessage(
     @Json(name = "tool_calls")
     val toolCalls: kotlin.collections.List<ChatCompletionMessageToolCall>? =
         null,
+
+    /* Annotations for the message, when applicable, as when using the [web search tool](/docs/guides/tools-web-search?api-mode=chat).  */
+    @Json(name = "annotations")
+    val annotations:
+        kotlin.collections.List<
+            ChatCompletionResponseMessageAnnotationsInner
+        >? =
+        null,
     @Json(name = "function_call")
     @Deprecated(message = "This property is deprecated.")
     val functionCall: ChatCompletionResponseMessageFunctionCall? = null,
diff --git a/lib/src/main/kotlin/com/openai/models/ChatCompletionResponseMessageAnnotationsInner.kt b/lib/src/main/kotlin/com/openai/models/ChatCompletionResponseMessageAnnotationsInner.kt
new file mode 100644
index 00000000..88b1b473
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ChatCompletionResponseMessageAnnotationsInner.kt
@@ -0,0 +1,41 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * A URL citation when using web search.
+ *
+ * @param type The type of the URL citation. Always `url_citation`.
+ * @param urlCitation
+ */
+data class ChatCompletionResponseMessageAnnotationsInner(
+
+    /* The type of the URL citation. Always `url_citation`. */
+    @Json(name = "type")
+    val type: ChatCompletionResponseMessageAnnotationsInner.Type,
+    @Json(name = "url_citation")
+    val urlCitation: ChatCompletionResponseMessageAnnotationsInnerUrlCitation,
+) {
+
+    /**
+     * The type of the URL citation. Always `url_citation`.
+     *
+     * Values: url_citation
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "url_citation") url_citation("url_citation")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ChatCompletionResponseMessageAnnotationsInnerUrlCitation.kt b/lib/src/main/kotlin/com/openai/models/ChatCompletionResponseMessageAnnotationsInnerUrlCitation.kt
new file mode 100644
index 00000000..2f556db9
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ChatCompletionResponseMessageAnnotationsInnerUrlCitation.kt
@@ -0,0 +1,39 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+
+/**
+ * A URL citation when using web search.
+ *
+ * @param endIndex The index of the last character of the URL citation in the
+ *   message.
+ * @param startIndex The index of the first character of the URL citation in the
+ *   message.
+ * @param url The URL of the web resource.
+ * @param title The title of the web resource.
+ */
+data class ChatCompletionResponseMessageAnnotationsInnerUrlCitation(
+
+    /* The index of the last character of the URL citation in the message. */
+    @Json(name = "end_index") val endIndex: kotlin.Int,
+
+    /* The index of the first character of the URL citation in the message. */
+    @Json(name = "start_index") val startIndex: kotlin.Int,
+
+    /* The URL of the web resource. */
+    @Json(name = "url") val url: kotlin.String,
+
+    /* The title of the web resource. */
+    @Json(name = "title") val title: kotlin.String,
+) {}
diff --git a/lib/src/main/kotlin/com/openai/models/ChatCompletionStreamOptions.kt b/lib/src/main/kotlin/com/openai/models/ChatCompletionStreamOptions.kt
index 8508d962..40035738 100644
--- a/lib/src/main/kotlin/com/openai/models/ChatCompletionStreamOptions.kt
+++ b/lib/src/main/kotlin/com/openai/models/ChatCompletionStreamOptions.kt
@@ -20,10 +20,12 @@ import com.squareup.moshi.Json
  *   `data: [DONE]` message. The `usage` field on this chunk shows the token
  *   usage statistics for the entire request, and the `choices` field will
  *   always be an empty array. All other chunks will also include a `usage`
- *   field, but with a null value.
+ *   field, but with a null value. **NOTE:** If the stream is interrupted, you
+ *   may not receive the final usage chunk which contains the total token usage
+ *   for the request.
  */
 data class ChatCompletionStreamOptions(
 
-    /* If set, an additional chunk will be streamed before the `data: [DONE]` message. The `usage` field on this chunk shows the token usage statistics for the entire request, and the `choices` field will always be an empty array. All other chunks will also include a `usage` field, but with a null value.  */
+    /* If set, an additional chunk will be streamed before the `data: [DONE]` message. The `usage` field on this chunk shows the token usage statistics for the entire request, and the `choices` field will always be an empty array.   All other chunks will also include a `usage` field, but with a null value. **NOTE:** If the stream is interrupted, you may not receive the final usage chunk which contains the total token usage for the request.  */
     @Json(name = "include_usage") val includeUsage: kotlin.Boolean? = null
 ) {}
diff --git a/lib/src/main/kotlin/com/openai/models/Click.kt b/lib/src/main/kotlin/com/openai/models/Click.kt
new file mode 100644
index 00000000..53daa89d
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/Click.kt
@@ -0,0 +1,67 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * A click action.
+ *
+ * @param type Specifies the event type. For a click action, this property is
+ *   always set to `click`.
+ * @param button Indicates which mouse button was pressed during the click. One
+ *   of `left`, `right`, `wheel`, `back`, or `forward`.
+ * @param x The x-coordinate where the click occurred.
+ * @param y The y-coordinate where the click occurred.
+ */
+data class Click(
+
+    /* Specifies the event type. For a click action, this property is  always set to `click`.  */
+    @Json(name = "type") val type: Click.Type = Type.click,
+
+    /* Indicates which mouse button was pressed during the click. One of `left`, `right`, `wheel`, `back`, or `forward`.  */
+    @Json(name = "button") val button: Click.Button,
+
+    /* The x-coordinate where the click occurred.  */
+    @Json(name = "x") val x: kotlin.Int,
+
+    /* The y-coordinate where the click occurred.  */
+    @Json(name = "y") val y: kotlin.Int,
+) {
+
+    /**
+     * Specifies the event type. For a click action, this property is always set
+     * to `click`.
+     *
+     * Values: click
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "click") click("click")
+    }
+
+    /**
+     * Indicates which mouse button was pressed during the click. One of `left`,
+     * `right`, `wheel`, `back`, or `forward`.
+     *
+     * Values: left,right,wheel,back,forward
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Button(val value: kotlin.String) {
+        @Json(name = "left") left("left"),
+        @Json(name = "right") right("right"),
+        @Json(name = "wheel") wheel("wheel"),
+        @Json(name = "back") back("back"),
+        @Json(name = "forward") forward("forward"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/CodeInterpreterFileOutput.kt b/lib/src/main/kotlin/com/openai/models/CodeInterpreterFileOutput.kt
new file mode 100644
index 00000000..177da148
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/CodeInterpreterFileOutput.kt
@@ -0,0 +1,40 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * The output of a code interpreter tool call that is a file.
+ *
+ * @param type The type of the code interpreter file output. Always `files`.
+ * @param files
+ */
+data class CodeInterpreterFileOutput(
+
+    /* The type of the code interpreter file output. Always `files`.  */
+    @Json(name = "type") val type: CodeInterpreterFileOutput.Type,
+    @Json(name = "files")
+    val files: kotlin.collections.List<CodeInterpreterFileOutputFilesInner>,
+) {
+
+    /**
+     * The type of the code interpreter file output. Always `files`.
+     *
+     * Values: files
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "files") files("files")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/CodeInterpreterFileOutputFilesInner.kt b/lib/src/main/kotlin/com/openai/models/CodeInterpreterFileOutputFilesInner.kt
new file mode 100644
index 00000000..6cde8979
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/CodeInterpreterFileOutputFilesInner.kt
@@ -0,0 +1,27 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+
+/**
+ * @param mimeType The MIME type of the file.
+ * @param fileId The ID of the file.
+ */
+data class CodeInterpreterFileOutputFilesInner(
+
+    /* The MIME type of the file.  */
+    @Json(name = "mime_type") val mimeType: kotlin.String,
+
+    /* The ID of the file.  */
+    @Json(name = "file_id") val fileId: kotlin.String,
+) {}
diff --git a/lib/src/main/kotlin/com/openai/models/CodeInterpreterTextOutput.kt b/lib/src/main/kotlin/com/openai/models/CodeInterpreterTextOutput.kt
new file mode 100644
index 00000000..8f46e154
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/CodeInterpreterTextOutput.kt
@@ -0,0 +1,41 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * The output of a code interpreter tool call that is text.
+ *
+ * @param type The type of the code interpreter text output. Always `logs`.
+ * @param logs The logs of the code interpreter tool call.
+ */
+data class CodeInterpreterTextOutput(
+
+    /* The type of the code interpreter text output. Always `logs`.  */
+    @Json(name = "type") val type: CodeInterpreterTextOutput.Type,
+
+    /* The logs of the code interpreter tool call.  */
+    @Json(name = "logs") val logs: kotlin.String,
+) {
+
+    /**
+     * The type of the code interpreter text output. Always `logs`.
+     *
+     * Values: logs
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "logs") logs("logs")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/CodeInterpreterTool.kt b/lib/src/main/kotlin/com/openai/models/CodeInterpreterTool.kt
new file mode 100644
index 00000000..9503085f
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/CodeInterpreterTool.kt
@@ -0,0 +1,41 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * A tool that runs code.
+ *
+ * @param type The type of the code interpreter tool. Always `code_interpreter`.
+ * @param fileIds The IDs of the files to run the code on.
+ */
+data class CodeInterpreterTool(
+
+    /* The type of the code interpreter tool. Always `code_interpreter`.  */
+    @Json(name = "type") val type: CodeInterpreterTool.Type,
+
+    /* The IDs of the files to run the code on.  */
+    @Json(name = "file_ids") val fileIds: kotlin.collections.List<kotlin.String>,
+) {
+
+    /**
+     * The type of the code interpreter tool. Always `code_interpreter`.
+     *
+     * Values: code_interpreter
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "code_interpreter") code_interpreter("code_interpreter")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/CodeInterpreterToolCall.kt b/lib/src/main/kotlin/com/openai/models/CodeInterpreterToolCall.kt
new file mode 100644
index 00000000..dbab28bb
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/CodeInterpreterToolCall.kt
@@ -0,0 +1,69 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * A tool call to run code.
+ *
+ * @param id The unique ID of the code interpreter tool call.
+ * @param type The type of the code interpreter tool call. Always
+ *   `code_interpreter_call`.
+ * @param code The code to run.
+ * @param status The status of the code interpreter tool call.
+ * @param results The results of the code interpreter tool call.
+ */
+data class CodeInterpreterToolCall(
+
+    /* The unique ID of the code interpreter tool call.  */
+    @Json(name = "id") val id: kotlin.String,
+
+    /* The type of the code interpreter tool call. Always `code_interpreter_call`.  */
+    @Json(name = "type") val type: CodeInterpreterToolCall.Type,
+
+    /* The code to run.  */
+    @Json(name = "code") val code: kotlin.String,
+
+    /* The status of the code interpreter tool call.  */
+    @Json(name = "status") val status: CodeInterpreterToolCall.Status,
+
+    /* The results of the code interpreter tool call.  */
+    @Json(name = "results")
+    val results: kotlin.collections.List<CodeInterpreterToolOutput>,
+) {
+
+    /**
+     * The type of the code interpreter tool call. Always
+     * `code_interpreter_call`.
+     *
+     * Values: code_interpreter_call
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "code_interpreter_call")
+        code_interpreter_call("code_interpreter_call")
+    }
+
+    /**
+     * The status of the code interpreter tool call.
+     *
+     * Values: in_progress,interpreting,completed
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Status(val value: kotlin.String) {
+        @Json(name = "in_progress") in_progress("in_progress"),
+        @Json(name = "interpreting") interpreting("interpreting"),
+        @Json(name = "completed") completed("completed"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/CodeInterpreterToolOutput.kt b/lib/src/main/kotlin/com/openai/models/CodeInterpreterToolOutput.kt
new file mode 100644
index 00000000..823fcf52
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/CodeInterpreterToolOutput.kt
@@ -0,0 +1,43 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * @param type The type of the code interpreter text output. Always `logs`.
+ * @param logs The logs of the code interpreter tool call.
+ * @param files
+ */
+data class CodeInterpreterToolOutput(
+
+    /* The type of the code interpreter text output. Always `logs`.  */
+    @Json(name = "type") val type: CodeInterpreterToolOutput.Type,
+
+    /* The logs of the code interpreter tool call.  */
+    @Json(name = "logs") val logs: kotlin.String,
+    @Json(name = "files")
+    val files: kotlin.collections.List<CodeInterpreterFileOutputFilesInner>,
+) {
+
+    /**
+     * The type of the code interpreter text output. Always `logs`.
+     *
+     * Values: logs,files
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "logs") logs("logs"),
+        @Json(name = "files") files("files"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ComparisonFilter.kt b/lib/src/main/kotlin/com/openai/models/ComparisonFilter.kt
new file mode 100644
index 00000000..c2d66e57
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ComparisonFilter.kt
@@ -0,0 +1,53 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * A filter used to compare a specified attribute key to a given value using a
+ * defined comparison operation.
+ *
+ * @param type Specifies the comparison operator: `eq`, `ne`, `gt`, `gte`, `lt`,
+ *   `lte`. - `eq`: equals - `ne`: not equal - `gt`: greater than - `gte`:
+ *   greater than or equal - `lt`: less than - `lte`: less than or equal
+ * @param key The key to compare against the value.
+ * @param `value`
+ */
+data class ComparisonFilter(
+
+    /* Specifies the comparison operator: `eq`, `ne`, `gt`, `gte`, `lt`, `lte`. - `eq`: equals - `ne`: not equal - `gt`: greater than - `gte`: greater than or equal - `lt`: less than - `lte`: less than or equal  */
+    @Json(name = "type") val type: ComparisonFilter.Type = Type.eq,
+
+    /* The key to compare against the value. */
+    @Json(name = "key") val key: kotlin.String,
+    @Json(name = "value") val `value`: ComparisonFilterValue,
+) {
+
+    /**
+     * Specifies the comparison operator: `eq`, `ne`, `gt`, `gte`, `lt`,
+     * `lte`. - `eq`: equals - `ne`: not equal - `gt`: greater than - `gte`:
+     * greater than or equal - `lt`: less than - `lte`: less than or equal
+     *
+     * Values: eq,ne,gt,gte,lt,lte
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "eq") eq("eq"),
+        @Json(name = "ne") ne("ne"),
+        @Json(name = "gt") gt("gt"),
+        @Json(name = "gte") gte("gte"),
+        @Json(name = "lt") lt("lt"),
+        @Json(name = "lte") lte("lte"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequestModel.kt b/lib/src/main/kotlin/com/openai/models/ComparisonFilterValue.kt
similarity index 57%
rename from lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequestModel.kt
rename to lib/src/main/kotlin/com/openai/models/ComparisonFilterValue.kt
index 3e60417c..d345766a 100644
--- a/lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequestModel.kt
+++ b/lib/src/main/kotlin/com/openai/models/ComparisonFilterValue.kt
@@ -12,8 +12,7 @@
 package com.openai.models
 
 /**
- * ID of the model to use. See the
- * [model endpoint compatibility](/docs/models#model-endpoint-compatibility)
- * table for details on which models work with the Chat API.
+ * The value to compare against the attribute key; supports string, number, or
+ * boolean types.
  */
-class CreateChatCompletionRequestModel() {}
+class ComparisonFilterValue() {}
diff --git a/lib/src/main/kotlin/com/openai/models/CompoundFilter.kt b/lib/src/main/kotlin/com/openai/models/CompoundFilter.kt
new file mode 100644
index 00000000..5b8880d0
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/CompoundFilter.kt
@@ -0,0 +1,44 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Combine multiple filters using `and` or `or`.
+ *
+ * @param type Type of operation: `and` or `or`.
+ * @param filters Array of filters to combine. Items can be `ComparisonFilter`
+ *   or `CompoundFilter`.
+ */
+data class CompoundFilter(
+
+    /* Type of operation: `and` or `or`. */
+    @Json(name = "type") val type: CompoundFilter.Type,
+
+    /* Array of filters to combine. Items can be `ComparisonFilter` or `CompoundFilter`. */
+    @Json(name = "filters")
+    val filters: kotlin.collections.List<CompoundFilterFiltersInner>,
+) {
+
+    /**
+     * Type of operation: `and` or `or`.
+     *
+     * Values: and,or
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "and") and("and"),
+        @Json(name = "or") or("or"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/CompoundFilterFiltersInner.kt b/lib/src/main/kotlin/com/openai/models/CompoundFilterFiltersInner.kt
new file mode 100644
index 00000000..f2a79a70
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/CompoundFilterFiltersInner.kt
@@ -0,0 +1,50 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * @param type Specifies the comparison operator: `eq`, `ne`, `gt`, `gte`, `lt`,
+ *   `lte`. - `eq`: equals - `ne`: not equal - `gt`: greater than - `gte`:
+ *   greater than or equal - `lt`: less than - `lte`: less than or equal
+ * @param key The key to compare against the value.
+ * @param `value`
+ */
+data class CompoundFilterFiltersInner(
+
+    /* Specifies the comparison operator: `eq`, `ne`, `gt`, `gte`, `lt`, `lte`. - `eq`: equals - `ne`: not equal - `gt`: greater than - `gte`: greater than or equal - `lt`: less than - `lte`: less than or equal  */
+    @Json(name = "type") val type: CompoundFilterFiltersInner.Type = Type.eq,
+
+    /* The key to compare against the value. */
+    @Json(name = "key") val key: kotlin.String,
+    @Json(name = "value") val `value`: ComparisonFilterValue,
+) {
+
+    /**
+     * Specifies the comparison operator: `eq`, `ne`, `gt`, `gte`, `lt`,
+     * `lte`. - `eq`: equals - `ne`: not equal - `gt`: greater than - `gte`:
+     * greater than or equal - `lt`: less than - `lte`: less than or equal
+     *
+     * Values: eq,ne,gt,gte,lt,lte
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "eq") eq("eq"),
+        @Json(name = "ne") ne("ne"),
+        @Json(name = "gt") gt("gt"),
+        @Json(name = "gte") gte("gte"),
+        @Json(name = "lt") lt("lt"),
+        @Json(name = "lte") lte("lte"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ComputerAction.kt b/lib/src/main/kotlin/com/openai/models/ComputerAction.kt
new file mode 100644
index 00000000..5c9fbe7b
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ComputerAction.kt
@@ -0,0 +1,97 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * @param type Specifies the event type. For a click action, this property is
+ *   always set to `click`.
+ * @param button Indicates which mouse button was pressed during the click. One
+ *   of `left`, `right`, `wheel`, `back`, or `forward`.
+ * @param x The x-coordinate where the scroll occurred.
+ * @param y The y-coordinate where the scroll occurred.
+ * @param path An array of coordinates representing the path of the drag action.
+ *   Coordinates will appear as an array of objects, eg ``` [ { x: 100, y: 200
+ *   }, { x: 200, y: 300 } ] ```
+ * @param propertyKeys The combination of keys the model is requesting to be
+ *   pressed. This is an array of strings, each representing a key.
+ * @param scrollX The horizontal scroll distance.
+ * @param scrollY The vertical scroll distance.
+ * @param text The text to type.
+ */
+data class ComputerAction(
+
+    /* Specifies the event type. For a click action, this property is  always set to `click`.  */
+    @Json(name = "type") val type: ComputerAction.Type = Type.click,
+
+    /* Indicates which mouse button was pressed during the click. One of `left`, `right`, `wheel`, `back`, or `forward`.  */
+    @Json(name = "button") val button: ComputerAction.Button,
+
+    /* The x-coordinate where the scroll occurred.  */
+    @Json(name = "x") val x: kotlin.Int,
+
+    /* The y-coordinate where the scroll occurred.  */
+    @Json(name = "y") val y: kotlin.Int,
+
+    /* An array of coordinates representing the path of the drag action. Coordinates will appear as an array of objects, eg ``` [   { x: 100, y: 200 },   { x: 200, y: 300 } ] ```  */
+    @Json(name = "path") val path: kotlin.collections.List<Coordinate>,
+
+    /* The combination of keys the model is requesting to be pressed. This is an array of strings, each representing a key.  */
+    @Json(name = "keys")
+    val propertyKeys: kotlin.collections.List<kotlin.String>,
+
+    /* The horizontal scroll distance.  */
+    @Json(name = "scroll_x") val scrollX: kotlin.Int,
+
+    /* The vertical scroll distance.  */
+    @Json(name = "scroll_y") val scrollY: kotlin.Int,
+
+    /* The text to type.  */
+    @Json(name = "text") val text: kotlin.String,
+) {
+
+    /**
+     * Specifies the event type. For a click action, this property is always set
+     * to `click`.
+     *
+     * Values: click,double_click,drag,keypress,move,screenshot,scroll,type,wait
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "click") click("click"),
+        @Json(name = "double_click") double_click("double_click"),
+        @Json(name = "drag") drag("drag"),
+        @Json(name = "keypress") keypress("keypress"),
+        @Json(name = "move") move("move"),
+        @Json(name = "screenshot") screenshot("screenshot"),
+        @Json(name = "scroll") scroll("scroll"),
+        @Json(name = "type") type("type"),
+        @Json(name = "wait") wait("wait"),
+    }
+
+    /**
+     * Indicates which mouse button was pressed during the click. One of `left`,
+     * `right`, `wheel`, `back`, or `forward`.
+     *
+     * Values: left,right,wheel,back,forward
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Button(val value: kotlin.String) {
+        @Json(name = "left") left("left"),
+        @Json(name = "right") right("right"),
+        @Json(name = "wheel") wheel("wheel"),
+        @Json(name = "back") back("back"),
+        @Json(name = "forward") forward("forward"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ComputerScreenshotImage.kt b/lib/src/main/kotlin/com/openai/models/ComputerScreenshotImage.kt
new file mode 100644
index 00000000..40523812
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ComputerScreenshotImage.kt
@@ -0,0 +1,50 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * A computer screenshot image used with the computer use tool.
+ *
+ * @param type Specifies the event type. For a computer screenshot, this
+ *   property is always set to `computer_screenshot`.
+ * @param imageUrl The URL of the screenshot image.
+ * @param fileId The identifier of an uploaded file that contains the
+ *   screenshot.
+ */
+data class ComputerScreenshotImage(
+
+    /* Specifies the event type. For a computer screenshot, this property is  always set to `computer_screenshot`.  */
+    @Json(name = "type")
+    val type: ComputerScreenshotImage.Type = Type.computer_screenshot,
+
+    /* The URL of the screenshot image. */
+    @Json(name = "image_url") val imageUrl: kotlin.String? = null,
+
+    /* The identifier of an uploaded file that contains the screenshot. */
+    @Json(name = "file_id") val fileId: kotlin.String? = null,
+) {
+
+    /**
+     * Specifies the event type. For a computer screenshot, this property is
+     * always set to `computer_screenshot`.
+     *
+     * Values: computer_screenshot
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "computer_screenshot")
+        computer_screenshot("computer_screenshot")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ComputerTool.kt b/lib/src/main/kotlin/com/openai/models/ComputerTool.kt
new file mode 100644
index 00000000..878cb2e5
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ComputerTool.kt
@@ -0,0 +1,64 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * A tool that controls a virtual computer. Learn more about the
+ * [computer tool](/docs/guides/tools-computer-use).
+ *
+ * @param type The type of the computer use tool. Always `computer_use_preview`.
+ * @param displayWidth The width of the computer display.
+ * @param displayHeight The height of the computer display.
+ * @param environment The type of computer environment to control.
+ */
+data class ComputerTool(
+
+    /* The type of the computer use tool. Always `computer_use_preview`.  */
+    @Json(name = "type") val type: ComputerTool.Type,
+
+    /* The width of the computer display.  */
+    @Json(name = "display_width") val displayWidth: java.math.BigDecimal,
+
+    /* The height of the computer display.  */
+    @Json(name = "display_height") val displayHeight: java.math.BigDecimal,
+
+    /* The type of computer environment to control.  */
+    @Json(name = "environment") val environment: ComputerTool.Environment,
+) {
+
+    /**
+     * The type of the computer use tool. Always `computer_use_preview`.
+     *
+     * Values: computer_use_preview
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "computer_use_preview")
+        computer_use_preview("computer_use_preview")
+    }
+
+    /**
+     * The type of computer environment to control.
+     *
+     * Values: mac,windows,ubuntu,browser
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Environment(val value: kotlin.String) {
+        @Json(name = "mac") mac("mac"),
+        @Json(name = "windows") windows("windows"),
+        @Json(name = "ubuntu") ubuntu("ubuntu"),
+        @Json(name = "browser") browser("browser"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ComputerToolCall.kt b/lib/src/main/kotlin/com/openai/models/ComputerToolCall.kt
new file mode 100644
index 00000000..f1272032
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ComputerToolCall.kt
@@ -0,0 +1,73 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * A tool call to a computer use tool. See the
+ * [computer use guide](/docs/guides/tools-computer-use) for more information.
+ *
+ * @param type The type of the computer call. Always `computer_call`.
+ * @param id The unique ID of the computer call.
+ * @param callId An identifier used when responding to the tool call with
+ *   output.
+ * @param action
+ * @param pendingSafetyChecks The pending safety checks for the computer call.
+ * @param status The status of the item. One of `in_progress`, `completed`, or
+ *   `incomplete`. Populated when items are returned via API.
+ */
+data class ComputerToolCall(
+
+    /* The type of the computer call. Always `computer_call`. */
+    @Json(name = "type") val type: ComputerToolCall.Type = Type.computer_call,
+
+    /* The unique ID of the computer call. */
+    @Json(name = "id") val id: kotlin.String,
+
+    /* An identifier used when responding to the tool call with output.  */
+    @Json(name = "call_id") val callId: kotlin.String,
+    @Json(name = "action") val action: ComputerAction,
+
+    /* The pending safety checks for the computer call.  */
+    @Json(name = "pending_safety_checks")
+    val pendingSafetyChecks:
+        kotlin.collections.List<ComputerToolCallSafetyCheck>,
+
+    /* The status of the item. One of `in_progress`, `completed`, or `incomplete`. Populated when items are returned via API.  */
+    @Json(name = "status") val status: ComputerToolCall.Status,
+) {
+
+    /**
+     * The type of the computer call. Always `computer_call`.
+     *
+     * Values: computer_call
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "computer_call") computer_call("computer_call")
+    }
+
+    /**
+     * The status of the item. One of `in_progress`, `completed`, or
+     * `incomplete`. Populated when items are returned via API.
+     *
+     * Values: in_progress,completed,incomplete
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Status(val value: kotlin.String) {
+        @Json(name = "in_progress") in_progress("in_progress"),
+        @Json(name = "completed") completed("completed"),
+        @Json(name = "incomplete") incomplete("incomplete"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ComputerToolCallOutput.kt b/lib/src/main/kotlin/com/openai/models/ComputerToolCallOutput.kt
new file mode 100644
index 00000000..a4fec6d1
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ComputerToolCallOutput.kt
@@ -0,0 +1,77 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * The output of a computer tool call.
+ *
+ * @param type The type of the computer tool call output. Always
+ *   `computer_call_output`.
+ * @param callId The ID of the computer tool call that produced the output.
+ * @param output
+ * @param id The ID of the computer tool call output.
+ * @param acknowledgedSafetyChecks The safety checks reported by the API that
+ *   have been acknowledged by the developer.
+ * @param status The status of the message input. One of `in_progress`,
+ *   `completed`, or `incomplete`. Populated when input items are returned via
+ *   API.
+ */
+data class ComputerToolCallOutput(
+
+    /* The type of the computer tool call output. Always `computer_call_output`.  */
+    @Json(name = "type")
+    val type: ComputerToolCallOutput.Type = Type.computer_call_output,
+
+    /* The ID of the computer tool call that produced the output.  */
+    @Json(name = "call_id") val callId: kotlin.String,
+    @Json(name = "output") val output: ComputerScreenshotImage,
+
+    /* The ID of the computer tool call output.  */
+    @Json(name = "id") val id: kotlin.String? = null,
+
+    /* The safety checks reported by the API that have been acknowledged by the  developer.  */
+    @Json(name = "acknowledged_safety_checks")
+    val acknowledgedSafetyChecks:
+        kotlin.collections.List<ComputerToolCallSafetyCheck>? =
+        null,
+
+    /* The status of the message input. One of `in_progress`, `completed`, or `incomplete`. Populated when input items are returned via API.  */
+    @Json(name = "status") val status: ComputerToolCallOutput.Status? = null,
+) {
+
+    /**
+     * The type of the computer tool call output. Always `computer_call_output`.
+     *
+     * Values: computer_call_output
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "computer_call_output")
+        computer_call_output("computer_call_output")
+    }
+
+    /**
+     * The status of the message input. One of `in_progress`, `completed`, or
+     * `incomplete`. Populated when input items are returned via API.
+     *
+     * Values: in_progress,completed,incomplete
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Status(val value: kotlin.String) {
+        @Json(name = "in_progress") in_progress("in_progress"),
+        @Json(name = "completed") completed("completed"),
+        @Json(name = "incomplete") incomplete("incomplete"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ComputerToolCallOutputResource.kt b/lib/src/main/kotlin/com/openai/models/ComputerToolCallOutputResource.kt
new file mode 100644
index 00000000..a87ad37c
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ComputerToolCallOutputResource.kt
@@ -0,0 +1,76 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * @param type The type of the computer tool call output. Always
+ *   `computer_call_output`.
+ * @param id The unique ID of the computer call tool output.
+ * @param callId The ID of the computer tool call that produced the output.
+ * @param output
+ * @param acknowledgedSafetyChecks The safety checks reported by the API that
+ *   have been acknowledged by the developer.
+ * @param status The status of the message input. One of `in_progress`,
+ *   `completed`, or `incomplete`. Populated when input items are returned via
+ *   API.
+ */
+data class ComputerToolCallOutputResource(
+
+    /* The type of the computer tool call output. Always `computer_call_output`.  */
+    @Json(name = "type")
+    val type: ComputerToolCallOutputResource.Type = Type.computer_call_output,
+
+    /* The unique ID of the computer call tool output.  */
+    @Json(name = "id") val id: kotlin.String,
+
+    /* The ID of the computer tool call that produced the output.  */
+    @Json(name = "call_id") val callId: kotlin.String,
+    @Json(name = "output") val output: ComputerScreenshotImage,
+
+    /* The safety checks reported by the API that have been acknowledged by the  developer.  */
+    @Json(name = "acknowledged_safety_checks")
+    val acknowledgedSafetyChecks:
+        kotlin.collections.List<ComputerToolCallSafetyCheck>? =
+        null,
+
+    /* The status of the message input. One of `in_progress`, `completed`, or `incomplete`. Populated when input items are returned via API.  */
+    @Json(name = "status")
+    val status: ComputerToolCallOutputResource.Status? = null,
+) {
+
+    /**
+     * The type of the computer tool call output. Always `computer_call_output`.
+     *
+     * Values: computer_call_output
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "computer_call_output")
+        computer_call_output("computer_call_output")
+    }
+
+    /**
+     * The status of the message input. One of `in_progress`, `completed`, or
+     * `incomplete`. Populated when input items are returned via API.
+     *
+     * Values: in_progress,completed,incomplete
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Status(val value: kotlin.String) {
+        @Json(name = "in_progress") in_progress("in_progress"),
+        @Json(name = "completed") completed("completed"),
+        @Json(name = "incomplete") incomplete("incomplete"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ComputerToolCallSafetyCheck.kt b/lib/src/main/kotlin/com/openai/models/ComputerToolCallSafetyCheck.kt
new file mode 100644
index 00000000..4551e690
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ComputerToolCallSafetyCheck.kt
@@ -0,0 +1,33 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+
+/**
+ * A pending safety check for the computer call.
+ *
+ * @param id The ID of the pending safety check.
+ * @param code The type of the pending safety check.
+ * @param message Details about the pending safety check.
+ */
+data class ComputerToolCallSafetyCheck(
+
+    /* The ID of the pending safety check. */
+    @Json(name = "id") val id: kotlin.String,
+
+    /* The type of the pending safety check. */
+    @Json(name = "code") val code: kotlin.String,
+
+    /* Details about the pending safety check. */
+    @Json(name = "message") val message: kotlin.String,
+) {}
diff --git a/lib/src/main/kotlin/com/openai/models/Content.kt b/lib/src/main/kotlin/com/openai/models/Content.kt
new file mode 100644
index 00000000..dece9660
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/Content.kt
@@ -0,0 +1,86 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Multi-modal input and output contents.
+ *
+ * @param type The type of the input item. Always `input_file`.
+ * @param text The text output from the model.
+ * @param detail The detail level of the image to be sent to the model. One of
+ *   `high`, `low`, or `auto`. Defaults to `auto`.
+ * @param annotations The annotations of the text output.
+ * @param refusal The refusal explanationfrom the model.
+ * @param imageUrl The URL of the image to be sent to the model. A fully
+ *   qualified URL or base64 encoded image in a data URL.
+ * @param fileId The ID of the file to be sent to the model.
+ * @param filename The name of the file to be sent to the model.
+ * @param fileData The content of the file to be sent to the model.
+ */
+data class Content(
+
+    /* The type of the input item. Always `input_file`.  */
+    @Json(name = "type") val type: Content.Type,
+
+    /* The text output from the model.  */
+    @Json(name = "text") val text: kotlin.String,
+
+    /* The detail level of the image to be sent to the model. One of `high`, `low`, or `auto`. Defaults to `auto`.  */
+    @Json(name = "detail") val detail: Content.Detail = Detail.auto,
+
+    /* The annotations of the text output.  */
+    @Json(name = "annotations")
+    val annotations: kotlin.collections.List<Annotation>,
+
+    /* The refusal explanationfrom the model.  */
+    @Json(name = "refusal") val refusal: kotlin.String,
+
+    /* The URL of the image to be sent to the model. A fully qualified URL or base64 encoded image in a data URL.  */
+    @Json(name = "image_url") val imageUrl: kotlin.String? = null,
+
+    /* The ID of the file to be sent to the model.  */
+    @Json(name = "file_id") val fileId: kotlin.String? = null,
+
+    /* The name of the file to be sent to the model.  */
+    @Json(name = "filename") val filename: kotlin.String? = null,
+
+    /* The content of the file to be sent to the model.  */
+    @Json(name = "file_data") val fileData: kotlin.String? = null,
+) {
+
+    /**
+     * The type of the input item. Always `input_file`.
+     *
+     * Values: input_file,refusal
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "input_file") input_file("input_file"),
+        @Json(name = "refusal") refusal("refusal"),
+    }
+
+    /**
+     * The detail level of the image to be sent to the model. One of `high`,
+     * `low`, or `auto`. Defaults to `auto`.
+     *
+     * Values: high,low,auto
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Detail(val value: kotlin.String) {
+        @Json(name = "high") high("high"),
+        @Json(name = "low") low("low"),
+        @Json(name = "auto") auto("auto"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/Coordinate.kt b/lib/src/main/kotlin/com/openai/models/Coordinate.kt
new file mode 100644
index 00000000..5a56729a
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/Coordinate.kt
@@ -0,0 +1,29 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+
+/**
+ * An x/y coordinate pair, e.g. `{ x: 100, y: 200 }`.
+ *
+ * @param x The x-coordinate.
+ * @param y The y-coordinate.
+ */
+data class Coordinate(
+
+    /* The x-coordinate.  */
+    @Json(name = "x") val x: kotlin.Int,
+
+    /* The y-coordinate.  */
+    @Json(name = "y") val y: kotlin.Int,
+) {}
diff --git a/lib/src/main/kotlin/com/openai/models/CreateAssistantRequest.kt b/lib/src/main/kotlin/com/openai/models/CreateAssistantRequest.kt
index decf8e76..695018ef 100644
--- a/lib/src/main/kotlin/com/openai/models/CreateAssistantRequest.kt
+++ b/lib/src/main/kotlin/com/openai/models/CreateAssistantRequest.kt
@@ -73,5 +73,5 @@ data class CreateAssistantRequest(
     @Json(name = "top_p")
     val topP: java.math.BigDecimal? = java.math.BigDecimal("1"),
     @Json(name = "response_format")
-    val responseFormat: AssistantObjectResponseFormat? = null,
+    val responseFormat: AssistantsApiResponseFormatOption? = null,
 ) {}
diff --git a/lib/src/main/kotlin/com/openai/models/CreateAssistantRequestToolResourcesFileSearch.kt b/lib/src/main/kotlin/com/openai/models/CreateAssistantRequestToolResourcesFileSearch.kt
index 0e8cedea..a9eb926a 100644
--- a/lib/src/main/kotlin/com/openai/models/CreateAssistantRequestToolResourcesFileSearch.kt
+++ b/lib/src/main/kotlin/com/openai/models/CreateAssistantRequestToolResourcesFileSearch.kt
@@ -12,4 +12,6 @@
 package com.openai.models
 
 /**  */
+// openai-openapi-kotlin change begin
 class CreateAssistantRequestToolResourcesFileSearch() {}
+// openai-openapi-kotlin change end
diff --git a/lib/src/main/kotlin/com/openai/models/CreateBatchRequest.kt b/lib/src/main/kotlin/com/openai/models/CreateBatchRequest.kt
index bc27a1fd..1d4e1852 100644
--- a/lib/src/main/kotlin/com/openai/models/CreateBatchRequest.kt
+++ b/lib/src/main/kotlin/com/openai/models/CreateBatchRequest.kt
@@ -22,9 +22,10 @@ import com.squareup.moshi.JsonClass
  *   with the purpose `batch`. The file can contain up to 50,000 requests, and
  *   can be up to 200 MB in size.
  * @param endpoint The endpoint to be used for all requests in the batch.
- *   Currently `/v1/chat/completions`, `/v1/embeddings`, and `/v1/completions`
- *   are supported. Note that `/v1/embeddings` batches are also restricted to a
- *   maximum of 50,000 embedding inputs across all requests in the batch.
+ *   Currently `/v1/responses`, `/v1/chat/completions`, `/v1/embeddings`, and
+ *   `/v1/completions` are supported. Note that `/v1/embeddings` batches are
+ *   also restricted to a maximum of 50,000 embedding inputs across all requests
+ *   in the batch.
  * @param completionWindow The time frame within which the batch should be
  *   processed. Currently only `24h` is supported.
  * @param metadata Set of 16 key-value pairs that can be attached to an object.
@@ -38,7 +39,7 @@ data class CreateBatchRequest(
     /* The ID of an uploaded file that contains requests for the new batch.  See [upload file](/docs/api-reference/files/create) for how to upload a file.  Your input file must be formatted as a [JSONL file](/docs/api-reference/batch/request-input), and must be uploaded with the purpose `batch`. The file can contain up to 50,000 requests, and can be up to 200 MB in size.  */
     @Json(name = "input_file_id") val inputFileId: kotlin.String,
 
-    /* The endpoint to be used for all requests in the batch. Currently `/v1/chat/completions`, `/v1/embeddings`, and `/v1/completions` are supported. Note that `/v1/embeddings` batches are also restricted to a maximum of 50,000 embedding inputs across all requests in the batch. */
+    /* The endpoint to be used for all requests in the batch. Currently `/v1/responses`, `/v1/chat/completions`, `/v1/embeddings`, and `/v1/completions` are supported. Note that `/v1/embeddings` batches are also restricted to a maximum of 50,000 embedding inputs across all requests in the batch. */
     @Json(name = "endpoint") val endpoint: CreateBatchRequest.Endpoint,
 
     /* The time frame within which the batch should be processed. Currently only `24h` is supported. */
@@ -52,18 +53,22 @@ data class CreateBatchRequest(
 
     /**
      * The endpoint to be used for all requests in the batch. Currently
-     * `/v1/chat/completions`, `/v1/embeddings`, and `/v1/completions` are
-     * supported. Note that `/v1/embeddings` batches are also restricted to a
-     * maximum of 50,000 embedding inputs across all requests in the batch.
+     * `/v1/responses`, `/v1/chat/completions`, `/v1/embeddings`, and
+     * `/v1/completions` are supported. Note that `/v1/embeddings` batches are
+     * also restricted to a maximum of 50,000 embedding inputs across all
+     * requests in the batch.
      *
-     * Values: chatSlashCompletions,embeddings,completions
+     * Values:
+     * SlashV1SlashResponses,SlashV1SlashChatSlashCompletions,SlashV1SlashEmbeddings,SlashV1SlashCompletions
      */
     @JsonClass(generateAdapter = false)
     enum class Endpoint(val value: kotlin.String) {
+        @Json(name = "/v1/responses") SlashV1SlashResponses("/v1/responses"),
         @Json(name = "/v1/chat/completions")
-        chatSlashCompletions("/v1/chat/completions"),
-        @Json(name = "/v1/embeddings") embeddings("/v1/embeddings"),
-        @Json(name = "/v1/completions") completions("/v1/completions"),
+        SlashV1SlashChatSlashCompletions("/v1/chat/completions"),
+        @Json(name = "/v1/embeddings") SlashV1SlashEmbeddings("/v1/embeddings"),
+        @Json(name = "/v1/completions")
+        SlashV1SlashCompletions("/v1/completions"),
     }
 
     /**
diff --git a/lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequest.kt b/lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequest.kt
index 6d9044f8..4f76ff32 100644
--- a/lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequest.kt
+++ b/lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequest.kt
@@ -20,18 +20,66 @@ import com.squareup.moshi.JsonClass
  *   (modalities) are supported, like [text](/docs/guides/text-generation),
  *   [images](/docs/guides/vision), and [audio](/docs/guides/audio).
  * @param model
- * @param store Whether or not to store the output of this chat completion
- *   request for use in our [model distillation](/docs/guides/distillation) or
- *   [evals](/docs/guides/evals) products.
- * @param reasoningEffort
  * @param metadata Set of 16 key-value pairs that can be attached to an object.
  *   This can be useful for storing additional information about the object in a
  *   structured format, and querying for objects via API or the dashboard. Keys
  *   are strings with a maximum length of 64 characters. Values are strings with
  *   a maximum length of 512 characters.
+ * @param temperature What sampling temperature to use, between 0 and 2. Higher
+ *   values like 0.8 will make the output more random, while lower values like
+ *   0.2 will make it more focused and deterministic. We generally recommend
+ *   altering this or `top_p` but not both.
+ * @param topP An alternative to sampling with temperature, called nucleus
+ *   sampling, where the model considers the results of the tokens with top_p
+ *   probability mass. So 0.1 means only the tokens comprising the top 10%
+ *   probability mass are considered. We generally recommend altering this or
+ *   `temperature` but not both.
+ * @param user A unique identifier representing your end-user, which can help
+ *   OpenAI to monitor and detect abuse.
+ *   [Learn more](/docs/guides/safety-best-practices#end-user-ids).
+ * @param modalities Output types that you would like the model to generate.
+ *   Most models are capable of generating text, which is the default:
+ *   `[\"text\"]` The `gpt-4o-audio-preview` model can also be used to
+ *   [generate audio](/docs/guides/audio). To request that this model generate
+ *   both text and audio responses, you can use: `[\"text\", \"audio\"]`
+ * @param reasoningEffort
+ * @param maxCompletionTokens An upper bound for the number of tokens that can
+ *   be generated for a completion, including visible output tokens and
+ *   [reasoning tokens](/docs/guides/reasoning).
  * @param frequencyPenalty Number between -2.0 and 2.0. Positive values penalize
  *   new tokens based on their existing frequency in the text so far, decreasing
  *   the model's likelihood to repeat the same line verbatim.
+ * @param presencePenalty Number between -2.0 and 2.0. Positive values penalize
+ *   new tokens based on whether they appear in the text so far, increasing the
+ *   model's likelihood to talk about new topics.
+ * @param webSearchOptions
+ * @param topLogprobs An integer between 0 and 20 specifying the number of most
+ *   likely tokens to return at each token position, each with an associated log
+ *   probability. `logprobs` must be set to `true` if this parameter is used.
+ * @param responseFormat
+ * @param serviceTier Specifies the latency tier to use for processing the
+ *   request. This parameter is relevant for customers subscribed to the scale
+ *   tier service: - If set to 'auto', and the Project is Scale tier enabled,
+ *   the system will utilize scale tier credits until they are exhausted. - If
+ *   set to 'auto', and the Project is not Scale tier enabled, the request will
+ *   be processed using the default service tier with a lower uptime SLA and no
+ *   latency guarentee. - If set to 'default', the request will be processed
+ *   using the default service tier with a lower uptime SLA and no latency
+ *   guarentee. - When not set, the default behavior is 'auto'. When this
+ *   parameter is set, the response body will include the `service_tier`
+ *   utilized.
+ * @param audio
+ * @param store Whether or not to store the output of this chat completion
+ *   request for use in our [model distillation](/docs/guides/distillation) or
+ *   [evals](/docs/guides/evals) products.
+ * @param stream If set to true, the model response data will be streamed to the
+ *   client as it is generated using
+ *   [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format).
+ *   See the [Streaming section below](/docs/api-reference/chat/streaming) for
+ *   more information, along with the
+ *   [streaming responses](/docs/guides/streaming-responses) guide for more
+ *   information on how to handle the streaming events.
+ * @param stop
  * @param logitBias Modify the likelihood of specified tokens appearing in the
  *   completion. Accepts a JSON object that maps tokens (specified by their
  *   token ID in the tokenizer) to an associated bias value from -100 to 100.
@@ -43,62 +91,21 @@ import com.squareup.moshi.JsonClass
  * @param logprobs Whether to return log probabilities of the output tokens or
  *   not. If true, returns the log probabilities of each output token returned
  *   in the `content` of `message`.
- * @param topLogprobs An integer between 0 and 20 specifying the number of most
- *   likely tokens to return at each token position, each with an associated log
- *   probability. `logprobs` must be set to `true` if this parameter is used.
  * @param maxTokens The maximum number of [tokens](/tokenizer) that can be
  *   generated in the chat completion. This value can be used to control
  *   [costs](https://openai.com/api/pricing/) for text generated via API. This
  *   value is now deprecated in favor of `max_completion_tokens`, and is not
  *   compatible with [o1 series models](/docs/guides/reasoning).
- * @param maxCompletionTokens An upper bound for the number of tokens that can
- *   be generated for a completion, including visible output tokens and
- *   [reasoning tokens](/docs/guides/reasoning).
  * @param n How many chat completion choices to generate for each input message.
  *   Note that you will be charged based on the number of generated tokens
  *   across all of the choices. Keep `n` as `1` to minimize costs.
- * @param modalities Output types that you would like the model to generate for
- *   this request. Most models are capable of generating text, which is the
- *   default: `[\"text\"]` The `gpt-4o-audio-preview` model can also be used to
- *   [generate audio](/docs/guides/audio). To request that this model generate
- *   both text and audio responses, you can use: `[\"text\", \"audio\"]`
  * @param prediction
- * @param audio
- * @param presencePenalty Number between -2.0 and 2.0. Positive values penalize
- *   new tokens based on whether they appear in the text so far, increasing the
- *   model's likelihood to talk about new topics.
- * @param responseFormat
  * @param seed This feature is in Beta. If specified, our system will make a
  *   best effort to sample deterministically, such that repeated requests with
  *   the same `seed` and parameters should return the same result. Determinism
  *   is not guaranteed, and you should refer to the `system_fingerprint`
  *   response parameter to monitor changes in the backend.
- * @param serviceTier Specifies the latency tier to use for processing the
- *   request. This parameter is relevant for customers subscribed to the scale
- *   tier service: - If set to 'auto', and the Project is Scale tier enabled,
- *   the system will utilize scale tier credits until they are exhausted. - If
- *   set to 'auto', and the Project is not Scale tier enabled, the request will
- *   be processed using the default service tier with a lower uptime SLA and no
- *   latency guarantee. - If set to 'default', the request will be processed
- *   using the default service tier with a lower uptime SLA and no latency
- *   guarantee. - When not set, the default behavior is 'auto'.
- * @param stop
- * @param stream If set, partial message deltas will be sent, like in ChatGPT.
- *   Tokens will be sent as data-only
- *   [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format)
- *   as they become available, with the stream terminated by a `data: [DONE]`
- *   message.
- *   [Example Python code](https://cookbook.openai.com/examples/how_to_stream_completions).
  * @param streamOptions
- * @param temperature What sampling temperature to use, between 0 and 2. Higher
- *   values like 0.8 will make the output more random, while lower values like
- *   0.2 will make it more focused and deterministic. We generally recommend
- *   altering this or `top_p` but not both.
- * @param topP An alternative to sampling with temperature, called nucleus
- *   sampling, where the model considers the results of the tokens with top_p
- *   probability mass. So 0.1 means only the tokens comprising the top 10%
- *   probability mass are considered. We generally recommend altering this or
- *   `temperature` but not both.
  * @param tools A list of tools the model may call. Currently, only functions
  *   are supported as a tool. Use this to provide a list of functions the model
  *   may generate JSON inputs for. A max of 128 functions are supported.
@@ -106,9 +113,6 @@ import com.squareup.moshi.JsonClass
  * @param parallelToolCalls Whether to enable
  *   [parallel function calling](/docs/guides/function-calling#configuring-parallel-function-calling)
  *   during tool use.
- * @param user A unique identifier representing your end-user, which can help
- *   OpenAI to monitor and detect abuse.
- *   [Learn more](/docs/guides/safety-best-practices#end-user-ids).
  * @param functionCall
  * @param functions Deprecated in favor of `tools`. A list of functions the
  *   model may generate JSON inputs for.
@@ -118,21 +122,63 @@ data class CreateChatCompletionRequest(
     /* A list of messages comprising the conversation so far. Depending on the [model](/docs/models) you use, different message types (modalities) are supported, like [text](/docs/guides/text-generation), [images](/docs/guides/vision), and [audio](/docs/guides/audio).  */
     @Json(name = "messages")
     val messages: kotlin.collections.List<ChatCompletionRequestMessage>,
-    @Json(name = "model") val model: CreateChatCompletionRequestModel,
-
-    /* Whether or not to store the output of this chat completion request for  use in our [model distillation](/docs/guides/distillation) or [evals](/docs/guides/evals) products.  */
-    @Json(name = "store") val store: kotlin.Boolean? = false,
-    @Json(name = "reasoning_effort")
-    val reasoningEffort: ReasoningEffort? = ReasoningEffort.medium,
+    @Json(name = "model") val model: ModelIdsShared,
 
     /* Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard.   Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.  */
     @Json(name = "metadata")
     val metadata: kotlin.collections.Map<kotlin.String, kotlin.String>? = null,
 
+    /* What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or `top_p` but not both.  */
+    @Json(name = "temperature")
+    val temperature: java.math.BigDecimal? = java.math.BigDecimal("1"),
+
+    /* An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.  We generally recommend altering this or `temperature` but not both.  */
+    @Json(name = "top_p")
+    val topP: java.math.BigDecimal? = java.math.BigDecimal("1"),
+
+    /* A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices#end-user-ids).  */
+    @Json(name = "user") val user: kotlin.String? = null,
+
+    /* Output types that you would like the model to generate. Most models are capable of generating text, which is the default:  `[\"text\"]`  The `gpt-4o-audio-preview` model can also be used to  [generate audio](/docs/guides/audio). To request that this model generate  both text and audio responses, you can use:  `[\"text\", \"audio\"]`  */
+    @Json(name = "modalities")
+    val modalities:
+        kotlin.collections.List<CreateChatCompletionRequest.Modalities>? =
+        null,
+    @Json(name = "reasoning_effort")
+    val reasoningEffort: ReasoningEffort? = ReasoningEffort.medium,
+
+    /* An upper bound for the number of tokens that can be generated for a completion, including visible output tokens and [reasoning tokens](/docs/guides/reasoning).  */
+    @Json(name = "max_completion_tokens")
+    val maxCompletionTokens: kotlin.Int? = null,
+
     /* Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim.  */
     @Json(name = "frequency_penalty")
     val frequencyPenalty: java.math.BigDecimal? = java.math.BigDecimal("0"),
 
+    /* Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.  */
+    @Json(name = "presence_penalty")
+    val presencePenalty: java.math.BigDecimal? = java.math.BigDecimal("0"),
+    @Json(name = "web_search_options") val webSearchOptions: WebSearch? = null,
+
+    /* An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability. `logprobs` must be set to `true` if this parameter is used.  */
+    @Json(name = "top_logprobs") val topLogprobs: kotlin.Int? = null,
+    @Json(name = "response_format")
+    val responseFormat: CreateChatCompletionRequestAllOfResponseFormat? = null,
+
+    /* Specifies the latency tier to use for processing the request. This parameter is relevant for customers subscribed to the scale tier service:   - If set to 'auto', and the Project is Scale tier enabled, the system     will utilize scale tier credits until they are exhausted.   - If set to 'auto', and the Project is not Scale tier enabled, the request will be processed using the default service tier with a lower uptime SLA and no latency guarentee.   - If set to 'default', the request will be processed using the default service tier with a lower uptime SLA and no latency guarentee.   - When not set, the default behavior is 'auto'.    When this parameter is set, the response body will include the `service_tier` utilized.  */
+    @Json(name = "service_tier")
+    val serviceTier: CreateChatCompletionRequest.ServiceTier? =
+        ServiceTier.auto,
+    @Json(name = "audio")
+    val audio: CreateChatCompletionRequestAllOfAudio? = null,
+
+    /* Whether or not to store the output of this chat completion request for  use in our [model distillation](/docs/guides/distillation) or [evals](/docs/guides/evals) products.  */
+    @Json(name = "store") val store: kotlin.Boolean? = false,
+
+    /* If set to true, the model response data will be streamed to the client as it is generated using [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format). See the [Streaming section below](/docs/api-reference/chat/streaming) for more information, along with the [streaming responses](/docs/guides/streaming-responses) guide for more information on how to handle the streaming events.  */
+    @Json(name = "stream") val stream: kotlin.Boolean? = false,
+    @Json(name = "stop") val stop: StopConfiguration? = null,
+
     /* Modify the likelihood of specified tokens appearing in the completion.  Accepts a JSON object that maps tokens (specified by their token ID in the tokenizer) to an associated bias value from -100 to 100. Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token.  */
     @Json(name = "logit_bias")
     val logitBias: kotlin.collections.Map<kotlin.String, kotlin.Int>? = null,
@@ -140,58 +186,21 @@ data class CreateChatCompletionRequest(
     /* Whether to return log probabilities of the output tokens or not. If true, returns the log probabilities of each output token returned in the `content` of `message`.  */
     @Json(name = "logprobs") val logprobs: kotlin.Boolean? = false,
 
-    /* An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability. `logprobs` must be set to `true` if this parameter is used.  */
-    @Json(name = "top_logprobs") val topLogprobs: kotlin.Int? = null,
-
     /* The maximum number of [tokens](/tokenizer) that can be generated in the chat completion. This value can be used to control [costs](https://openai.com/api/pricing/) for text generated via API.  This value is now deprecated in favor of `max_completion_tokens`, and is not compatible with [o1 series models](/docs/guides/reasoning).  */
     @Json(name = "max_tokens")
     @Deprecated(message = "This property is deprecated.")
     val maxTokens: kotlin.Int? = null,
 
-    /* An upper bound for the number of tokens that can be generated for a completion, including visible output tokens and [reasoning tokens](/docs/guides/reasoning).  */
-    @Json(name = "max_completion_tokens")
-    val maxCompletionTokens: kotlin.Int? = null,
-
     /* How many chat completion choices to generate for each input message. Note that you will be charged based on the number of generated tokens across all of the choices. Keep `n` as `1` to minimize costs. */
     @Json(name = "n") val n: kotlin.Int? = 1,
-
-    /* Output types that you would like the model to generate for this request. Most models are capable of generating text, which is the default:  `[\"text\"]`  The `gpt-4o-audio-preview` model can also be used to [generate audio](/docs/guides/audio). To request that this model generate both text and audio responses, you can use:  `[\"text\", \"audio\"]`  */
-    @Json(name = "modalities")
-    val modalities:
-        kotlin.collections.List<CreateChatCompletionRequest.Modalities>? =
-        null,
     @Json(name = "prediction")
-    val prediction: CreateChatCompletionRequestPrediction? = null,
-    @Json(name = "audio") val audio: CreateChatCompletionRequestAudio? = null,
-
-    /* Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics.  */
-    @Json(name = "presence_penalty")
-    val presencePenalty: java.math.BigDecimal? = java.math.BigDecimal("0"),
-    @Json(name = "response_format")
-    val responseFormat: CreateChatCompletionRequestResponseFormat? = null,
+    val prediction: CreateChatCompletionRequestAllOfPrediction? = null,
 
     /* This feature is in Beta. If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same `seed` and parameters should return the same result. Determinism is not guaranteed, and you should refer to the `system_fingerprint` response parameter to monitor changes in the backend.  */
     @Json(name = "seed") val seed: kotlin.Long? = null,
-
-    /* Specifies the latency tier to use for processing the request. This parameter is relevant for customers subscribed to the scale tier service:   - If set to 'auto', and the Project is Scale tier enabled, the system will utilize scale tier credits until they are exhausted.   - If set to 'auto', and the Project is not Scale tier enabled, the request will be processed using the default service tier with a lower uptime SLA and no latency guarantee.   - If set to 'default', the request will be processed using the default service tier with a lower uptime SLA and no latency guarantee.   - When not set, the default behavior is 'auto'.  */
-    @Json(name = "service_tier")
-    val serviceTier: CreateChatCompletionRequest.ServiceTier? =
-        ServiceTier.auto,
-    @Json(name = "stop") val stop: CreateChatCompletionRequestStop? = null,
-
-    /* If set, partial message deltas will be sent, like in ChatGPT. Tokens will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available, with the stream terminated by a `data: [DONE]` message. [Example Python code](https://cookbook.openai.com/examples/how_to_stream_completions).  */
-    @Json(name = "stream") val stream: kotlin.Boolean? = false,
     @Json(name = "stream_options")
     val streamOptions: ChatCompletionStreamOptions? = null,
 
-    /* What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or `top_p` but not both.  */
-    @Json(name = "temperature")
-    val temperature: java.math.BigDecimal? = java.math.BigDecimal("1"),
-
-    /* An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.  We generally recommend altering this or `temperature` but not both.  */
-    @Json(name = "top_p")
-    val topP: java.math.BigDecimal? = java.math.BigDecimal("1"),
-
     /* A list of tools the model may call. Currently, only functions are supported as a tool. Use this to provide a list of functions the model may generate JSON inputs for. A max of 128 functions are supported.  */
     @Json(name = "tools")
     val tools: kotlin.collections.List<ChatCompletionTool>? = null,
@@ -201,12 +210,9 @@ data class CreateChatCompletionRequest(
     /* Whether to enable [parallel function calling](/docs/guides/function-calling#configuring-parallel-function-calling) during tool use. */
     @Json(name = "parallel_tool_calls")
     val parallelToolCalls: kotlin.Boolean? = true,
-
-    /* A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices#end-user-ids).  */
-    @Json(name = "user") val user: kotlin.String? = null,
     @Json(name = "function_call")
     @Deprecated(message = "This property is deprecated.")
-    val functionCall: CreateChatCompletionRequestFunctionCall? = null,
+    val functionCall: CreateChatCompletionRequestAllOfFunctionCall? = null,
 
     /* Deprecated in favor of `tools`.  A list of functions the model may generate JSON inputs for.  */
     @Json(name = "functions")
@@ -215,9 +221,9 @@ data class CreateChatCompletionRequest(
 ) {
 
     /**
-     * Output types that you would like the model to generate for this request.
-     * Most models are capable of generating text, which is the default:
-     * `[\"text\"]` The `gpt-4o-audio-preview` model can also be used to
+     * Output types that you would like the model to generate. Most models are
+     * capable of generating text, which is the default: `[\"text\"]` The
+     * `gpt-4o-audio-preview` model can also be used to
      * [generate audio](/docs/guides/audio). To request that this model generate
      * both text and audio responses, you can use: `[\"text\", \"audio\"]`
      *
@@ -236,9 +242,11 @@ data class CreateChatCompletionRequest(
      * system will utilize scale tier credits until they are exhausted. - If set
      * to 'auto', and the Project is not Scale tier enabled, the request will be
      * processed using the default service tier with a lower uptime SLA and no
-     * latency guarantee. - If set to 'default', the request will be processed
+     * latency guarentee. - If set to 'default', the request will be processed
      * using the default service tier with a lower uptime SLA and no latency
-     * guarantee. - When not set, the default behavior is 'auto'.
+     * guarentee. - When not set, the default behavior is 'auto'. When this
+     * parameter is set, the response body will include the `service_tier`
+     * utilized.
      *
      * Values: auto,default
      */
diff --git a/lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequestAllOfAudio.kt b/lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequestAllOfAudio.kt
new file mode 100644
index 00000000..972befd8
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequestAllOfAudio.kt
@@ -0,0 +1,47 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Parameters for audio output. Required when audio output is requested with
+ * `modalities: [\"audio\"]`. [Learn more](/docs/guides/audio).
+ *
+ * @param voice
+ * @param format Specifies the output audio format. Must be one of `wav`, `mp3`,
+ *   `flac`, `opus`, or `pcm16`.
+ */
+data class CreateChatCompletionRequestAllOfAudio(
+    @Json(name = "voice") val voice: VoiceIdsShared,
+
+    /* Specifies the output audio format. Must be one of `wav`, `mp3`, `flac`, `opus`, or `pcm16`.  */
+    @Json(name = "format")
+    val format: CreateChatCompletionRequestAllOfAudio.Format,
+) {
+
+    /**
+     * Specifies the output audio format. Must be one of `wav`, `mp3`, `flac`,
+     * `opus`, or `pcm16`.
+     *
+     * Values: wav,mp3,flac,opus,pcm16
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Format(val value: kotlin.String) {
+        @Json(name = "wav") wav("wav"),
+        @Json(name = "mp3") mp3("mp3"),
+        @Json(name = "flac") flac("flac"),
+        @Json(name = "opus") opus("opus"),
+        @Json(name = "pcm16") pcm16("pcm16"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequestFunctionCall.kt b/lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequestAllOfFunctionCall.kt
similarity index 94%
rename from lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequestFunctionCall.kt
rename to lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequestAllOfFunctionCall.kt
index 973ef54b..a6905031 100644
--- a/lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequestFunctionCall.kt
+++ b/lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequestAllOfFunctionCall.kt
@@ -25,7 +25,7 @@ import com.squareup.moshi.Json
  * @param name The name of the function to call.
  */
 @Deprecated(message = "This schema is deprecated.")
-data class CreateChatCompletionRequestFunctionCall(
+data class CreateChatCompletionRequestAllOfFunctionCall(
 
     /* The name of the function to call. */
     @Json(name = "name") val name: kotlin.String
diff --git a/lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequestPrediction.kt b/lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequestAllOfPrediction.kt
similarity index 89%
rename from lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequestPrediction.kt
rename to lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequestAllOfPrediction.kt
index f39354df..c3e934c3 100644
--- a/lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequestPrediction.kt
+++ b/lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequestAllOfPrediction.kt
@@ -24,10 +24,11 @@ import com.squareup.moshi.JsonClass
  *   is currently always `content`.
  * @param content
  */
-data class CreateChatCompletionRequestPrediction(
+data class CreateChatCompletionRequestAllOfPrediction(
 
     /* The type of the predicted content you want to provide. This type is currently always `content`.  */
-    @Json(name = "type") val type: CreateChatCompletionRequestPrediction.Type,
+    @Json(name = "type")
+    val type: CreateChatCompletionRequestAllOfPrediction.Type,
     @Json(name = "content") val content: PredictionContentContent,
 ) {
 
diff --git a/lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequestAllOfResponseFormat.kt b/lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequestAllOfResponseFormat.kt
new file mode 100644
index 00000000..1f753d34
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequestAllOfResponseFormat.kt
@@ -0,0 +1,48 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * An object specifying the format that the model must output. Setting to `{
+ * \"type\": \"json_schema\", \"json_schema\": {...} }` enables Structured
+ * Outputs which ensures the model will match your supplied JSON schema. Learn
+ * more in the [Structured Outputs guide](/docs/guides/structured-outputs).
+ * Setting to `{ \"type\": \"json_object\" }` enables the older JSON mode, which
+ * ensures the message the model generates is valid JSON. Using `json_schema` is
+ * preferred for models that support it.
+ *
+ * @param type The type of response format being defined. Always `text`.
+ * @param jsonSchema
+ */
+data class CreateChatCompletionRequestAllOfResponseFormat(
+
+    /* The type of response format being defined. Always `text`. */
+    @Json(name = "type")
+    val type: CreateChatCompletionRequestAllOfResponseFormat.Type,
+    @Json(name = "json_schema") val jsonSchema: JSONSchema,
+) {
+
+    /**
+     * The type of response format being defined. Always `text`.
+     *
+     * Values: text,json_schema,json_object
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "text") text("text"),
+        @Json(name = "json_schema") json_schema("json_schema"),
+        @Json(name = "json_object") json_object("json_object"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequestAudio.kt b/lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequestAudio.kt
deleted file mode 100644
index 2a7ed37f..00000000
--- a/lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequestAudio.kt
+++ /dev/null
@@ -1,70 +0,0 @@
-/**
- * Please note: This class is auto generated by OpenAPI Generator
- * (https://openapi-generator.tech). Do not edit this file manually.
- */
-@file:Suppress(
-    "ArrayInDataClass",
-    "EnumEntryName",
-    "RemoveRedundantQualifierName",
-    "UnusedImport",
-)
-
-package com.openai.models
-
-import com.squareup.moshi.Json
-import com.squareup.moshi.JsonClass
-
-/**
- * Parameters for audio output. Required when audio output is requested with
- * `modalities: [\"audio\"]`. [Learn more](/docs/guides/audio).
- *
- * @param voice The voice the model uses to respond. Supported voices are `ash`,
- *   `ballad`, `coral`, `sage`, and `verse` (also supported but not recommended
- *   are `alloy`, `echo`, and `shimmer`; these voices are less expressive).
- * @param format Specifies the output audio format. Must be one of `wav`, `mp3`,
- *   `flac`, `opus`, or `pcm16`.
- */
-data class CreateChatCompletionRequestAudio(
-
-    /* The voice the model uses to respond. Supported voices are `ash`, `ballad`, `coral`, `sage`, and `verse` (also supported but not recommended are `alloy`, `echo`, and `shimmer`; these voices are less expressive).  */
-    @Json(name = "voice") val voice: CreateChatCompletionRequestAudio.Voice,
-
-    /* Specifies the output audio format. Must be one of `wav`, `mp3`, `flac`, `opus`, or `pcm16`.  */
-    @Json(name = "format") val format: CreateChatCompletionRequestAudio.Format,
-) {
-
-    /**
-     * The voice the model uses to respond. Supported voices are `ash`,
-     * `ballad`, `coral`, `sage`, and `verse` (also supported but not
-     * recommended are `alloy`, `echo`, and `shimmer`; these voices are less
-     * expressive).
-     *
-     * Values: alloy,ash,ballad,coral,echo,sage,shimmer,verse
-     */
-    @JsonClass(generateAdapter = false)
-    enum class Voice(val value: kotlin.String) {
-        @Json(name = "alloy") alloy("alloy"),
-        @Json(name = "ash") ash("ash"),
-        @Json(name = "ballad") ballad("ballad"),
-        @Json(name = "coral") coral("coral"),
-        @Json(name = "echo") echo("echo"),
-        @Json(name = "sage") sage("sage"),
-        @Json(name = "shimmer") shimmer("shimmer"),
-        @Json(name = "verse") verse("verse"),
-    }
-
-    /**
-     * Specifies the output audio format. Must be one of `wav`, `mp3`, `flac`,
-     * `opus`, or `pcm16`.
-     *
-     * Values: wav,mp3,flac,opus,pcm16
-     */
-    @JsonClass(generateAdapter = false)
-    enum class Format(val value: kotlin.String) {
-        @Json(name = "wav") wav("wav"),
-        @Json(name = "mp3") mp3("mp3"),
-        @Json(name = "flac") flac("flac"),
-        @Json(name = "opus") opus("opus"),
-        @Json(name = "pcm16") pcm16("pcm16"),
-    }
-}
diff --git a/lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequestResponseFormat.kt b/lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequestResponseFormat.kt
deleted file mode 100644
index 56ea712e..00000000
--- a/lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequestResponseFormat.kt
+++ /dev/null
@@ -1,55 +0,0 @@
-/**
- * Please note: This class is auto generated by OpenAPI Generator
- * (https://openapi-generator.tech). Do not edit this file manually.
- */
-@file:Suppress(
-    "ArrayInDataClass",
-    "EnumEntryName",
-    "RemoveRedundantQualifierName",
-    "UnusedImport",
-)
-
-package com.openai.models
-
-import com.squareup.moshi.Json
-import com.squareup.moshi.JsonClass
-
-/**
- * An object specifying the format that the model must output. Setting to `{
- * \"type\": \"json_schema\", \"json_schema\": {...} }` enables Structured
- * Outputs which ensures the model will match your supplied JSON schema. Learn
- * more in the [Structured Outputs guide](/docs/guides/structured-outputs).
- * Setting to `{ \"type\": \"json_object\" }` enables JSON mode, which ensures
- * the message the model generates is valid JSON. **Important:** when using JSON
- * mode, you **must** also instruct the model to produce JSON yourself via a
- * system or user message. Without this, the model may generate an unending
- * stream of whitespace until the generation reaches the token limit, resulting
- * in a long-running and seemingly \"stuck\" request. Also note that the message
- * content may be partially cut off if `finish_reason=\"length\"`, which
- * indicates the generation exceeded `max_tokens` or the conversation exceeded
- * the max context length.
- *
- * @param type The type of response format being defined: `text`
- * @param jsonSchema
- */
-data class CreateChatCompletionRequestResponseFormat(
-
-    /* The type of response format being defined: `text` */
-    @Json(name = "type")
-    val type: CreateChatCompletionRequestResponseFormat.Type,
-    @Json(name = "json_schema")
-    val jsonSchema: ResponseFormatJsonSchemaJsonSchema,
-) {
-
-    /**
-     * The type of response format being defined: `text`
-     *
-     * Values: text,json_object,json_schema
-     */
-    @JsonClass(generateAdapter = false)
-    enum class Type(val value: kotlin.String) {
-        @Json(name = "text") text("text"),
-        @Json(name = "json_object") json_object("json_object"),
-        @Json(name = "json_schema") json_schema("json_schema"),
-    }
-}
diff --git a/lib/src/main/kotlin/com/openai/models/CreateChatCompletionStreamResponse.kt b/lib/src/main/kotlin/com/openai/models/CreateChatCompletionStreamResponse.kt
index 5695646e..db02e101 100644
--- a/lib/src/main/kotlin/com/openai/models/CreateChatCompletionStreamResponse.kt
+++ b/lib/src/main/kotlin/com/openai/models/CreateChatCompletionStreamResponse.kt
@@ -15,8 +15,9 @@ import com.squareup.moshi.Json
 import com.squareup.moshi.JsonClass
 
 /**
- * Represents a streamed chunk of a chat completion response returned by model,
- * based on the provided input.
+ * Represents a streamed chunk of a chat completion response returned by the
+ * model, based on the provided input.
+ * [Learn more](/docs/guides/streaming-responses).
  *
  * @param id A unique identifier for the chat completion. Each chunk has the
  *   same ID.
@@ -61,8 +62,7 @@ data class CreateChatCompletionStreamResponse(
     /* This fingerprint represents the backend configuration that the model runs with. Can be used in conjunction with the `seed` request parameter to understand when backend changes have been made that might impact determinism.  */
     @Json(name = "system_fingerprint")
     val systemFingerprint: kotlin.String? = null,
-    @Json(name = "usage")
-    val usage: CreateChatCompletionStreamResponseUsage? = null,
+    @Json(name = "usage") val usage: CompletionUsage? = null,
 ) {
 
     /**
diff --git a/lib/src/main/kotlin/com/openai/models/CreateChatCompletionStreamResponseUsage.kt b/lib/src/main/kotlin/com/openai/models/CreateChatCompletionStreamResponseUsage.kt
deleted file mode 100644
index 01fed360..00000000
--- a/lib/src/main/kotlin/com/openai/models/CreateChatCompletionStreamResponseUsage.kt
+++ /dev/null
@@ -1,37 +0,0 @@
-/**
- * Please note: This class is auto generated by OpenAPI Generator
- * (https://openapi-generator.tech). Do not edit this file manually.
- */
-@file:Suppress(
-    "ArrayInDataClass",
-    "EnumEntryName",
-    "RemoveRedundantQualifierName",
-    "UnusedImport",
-)
-
-package com.openai.models
-
-import com.squareup.moshi.Json
-
-/**
- * An optional field that will only be present when you set `stream_options:
- * {\"include_usage\": true}` in your request. When present, it contains a null
- * value except for the last chunk which contains the token usage statistics for
- * the entire request.
- *
- * @param completionTokens Number of tokens in the generated completion.
- * @param promptTokens Number of tokens in the prompt.
- * @param totalTokens Total number of tokens used in the request (prompt +
- *   completion).
- */
-data class CreateChatCompletionStreamResponseUsage(
-
-    /* Number of tokens in the generated completion. */
-    @Json(name = "completion_tokens") val completionTokens: kotlin.Int,
-
-    /* Number of tokens in the prompt. */
-    @Json(name = "prompt_tokens") val promptTokens: kotlin.Int,
-
-    /* Total number of tokens used in the request (prompt + completion). */
-    @Json(name = "total_tokens") val totalTokens: kotlin.Int,
-) {}
diff --git a/lib/src/main/kotlin/com/openai/models/CreateCompletionRequest.kt b/lib/src/main/kotlin/com/openai/models/CreateCompletionRequest.kt
index 5a98a938..22a932bd 100644
--- a/lib/src/main/kotlin/com/openai/models/CreateCompletionRequest.kt
+++ b/lib/src/main/kotlin/com/openai/models/CreateCompletionRequest.kt
@@ -118,7 +118,7 @@ data class CreateCompletionRequest(
 
     /* If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same `seed` and parameters should return the same result.  Determinism is not guaranteed, and you should refer to the `system_fingerprint` response parameter to monitor changes in the backend.  */
     @Json(name = "seed") val seed: kotlin.Long? = null,
-    @Json(name = "stop") val stop: CreateCompletionRequestStop? = null,
+    @Json(name = "stop") val stop: StopConfiguration? = null,
 
     /* Whether to stream back partial progress. If set, tokens will be sent as data-only [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available, with the stream terminated by a `data: [DONE]` message. [Example Python code](https://cookbook.openai.com/examples/how_to_stream_completions).  */
     @Json(name = "stream") val stream: kotlin.Boolean? = false,
diff --git a/lib/src/main/kotlin/com/openai/models/CreateFineTuningCheckpointPermissionRequest.kt b/lib/src/main/kotlin/com/openai/models/CreateFineTuningCheckpointPermissionRequest.kt
new file mode 100644
index 00000000..66246c20
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/CreateFineTuningCheckpointPermissionRequest.kt
@@ -0,0 +1,22 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+
+/** @param projectIds The project identifiers to grant access to. */
+data class CreateFineTuningCheckpointPermissionRequest(
+
+    /* The project identifiers to grant access to. */
+    @Json(name = "project_ids")
+    val projectIds: kotlin.collections.List<kotlin.String>
+) {}
diff --git a/lib/src/main/kotlin/com/openai/models/CreateFineTuningJobRequest.kt b/lib/src/main/kotlin/com/openai/models/CreateFineTuningJobRequest.kt
index f5a7cefd..155ab5fc 100644
--- a/lib/src/main/kotlin/com/openai/models/CreateFineTuningJobRequest.kt
+++ b/lib/src/main/kotlin/com/openai/models/CreateFineTuningJobRequest.kt
@@ -44,6 +44,11 @@ import com.squareup.moshi.Json
  *   differ in rare cases. If a seed is not specified, one will be generated for
  *   you.
  * @param method
+ * @param metadata Set of 16 key-value pairs that can be attached to an object.
+ *   This can be useful for storing additional information about the object in a
+ *   structured format, and querying for objects via API or the dashboard. Keys
+ *   are strings with a maximum length of 64 characters. Values are strings with
+ *   a maximum length of 512 characters.
  */
 data class CreateFineTuningJobRequest(
     @Json(name = "model") val model: CreateFineTuningJobRequestModel,
@@ -69,4 +74,8 @@ data class CreateFineTuningJobRequest(
     /* The seed controls the reproducibility of the job. Passing in the same seed and job parameters should produce the same results, but may differ in rare cases. If a seed is not specified, one will be generated for you.  */
     @Json(name = "seed") val seed: kotlin.Int? = null,
     @Json(name = "method") val method: FineTuneMethod? = null,
+
+    /* Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard.   Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.  */
+    @Json(name = "metadata")
+    val metadata: kotlin.collections.Map<kotlin.String, kotlin.String>? = null,
 ) {}
diff --git a/lib/src/main/kotlin/com/openai/models/CreateModelResponseProperties.kt b/lib/src/main/kotlin/com/openai/models/CreateModelResponseProperties.kt
new file mode 100644
index 00000000..bff0d49b
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/CreateModelResponseProperties.kt
@@ -0,0 +1,51 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+
+/**
+ * @param metadata Set of 16 key-value pairs that can be attached to an object.
+ *   This can be useful for storing additional information about the object in a
+ *   structured format, and querying for objects via API or the dashboard. Keys
+ *   are strings with a maximum length of 64 characters. Values are strings with
+ *   a maximum length of 512 characters.
+ * @param temperature What sampling temperature to use, between 0 and 2. Higher
+ *   values like 0.8 will make the output more random, while lower values like
+ *   0.2 will make it more focused and deterministic. We generally recommend
+ *   altering this or `top_p` but not both.
+ * @param topP An alternative to sampling with temperature, called nucleus
+ *   sampling, where the model considers the results of the tokens with top_p
+ *   probability mass. So 0.1 means only the tokens comprising the top 10%
+ *   probability mass are considered. We generally recommend altering this or
+ *   `temperature` but not both.
+ * @param user A unique identifier representing your end-user, which can help
+ *   OpenAI to monitor and detect abuse.
+ *   [Learn more](/docs/guides/safety-best-practices#end-user-ids).
+ */
+data class CreateModelResponseProperties(
+
+    /* Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard.   Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.  */
+    @Json(name = "metadata")
+    val metadata: kotlin.collections.Map<kotlin.String, kotlin.String>? = null,
+
+    /* What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or `top_p` but not both.  */
+    @Json(name = "temperature")
+    val temperature: java.math.BigDecimal? = java.math.BigDecimal("1"),
+
+    /* An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.  We generally recommend altering this or `temperature` but not both.  */
+    @Json(name = "top_p")
+    val topP: java.math.BigDecimal? = java.math.BigDecimal("1"),
+
+    /* A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices#end-user-ids).  */
+    @Json(name = "user") val user: kotlin.String? = null,
+) {}
diff --git a/lib/src/main/kotlin/com/openai/models/CreateResponse.kt b/lib/src/main/kotlin/com/openai/models/CreateResponse.kt
new file mode 100644
index 00000000..d07ecb63
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/CreateResponse.kt
@@ -0,0 +1,152 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * @param model
+ * @param input
+ * @param metadata Set of 16 key-value pairs that can be attached to an object.
+ *   This can be useful for storing additional information about the object in a
+ *   structured format, and querying for objects via API or the dashboard. Keys
+ *   are strings with a maximum length of 64 characters. Values are strings with
+ *   a maximum length of 512 characters.
+ * @param temperature What sampling temperature to use, between 0 and 2. Higher
+ *   values like 0.8 will make the output more random, while lower values like
+ *   0.2 will make it more focused and deterministic. We generally recommend
+ *   altering this or `top_p` but not both.
+ * @param topP An alternative to sampling with temperature, called nucleus
+ *   sampling, where the model considers the results of the tokens with top_p
+ *   probability mass. So 0.1 means only the tokens comprising the top 10%
+ *   probability mass are considered. We generally recommend altering this or
+ *   `temperature` but not both.
+ * @param user A unique identifier representing your end-user, which can help
+ *   OpenAI to monitor and detect abuse.
+ *   [Learn more](/docs/guides/safety-best-practices#end-user-ids).
+ * @param previousResponseId The unique ID of the previous response to the
+ *   model. Use this to create multi-turn conversations. Learn more about
+ *   [conversation state](/docs/guides/conversation-state).
+ * @param reasoning
+ * @param maxOutputTokens An upper bound for the number of tokens that can be
+ *   generated for a response, including visible output tokens and
+ *   [reasoning tokens](/docs/guides/reasoning).
+ * @param instructions Inserts a system (or developer) message as the first item
+ *   in the model's context. When using along with `previous_response_id`, the
+ *   instructions from a previous response will be not be carried over to the
+ *   next response. This makes it simple to swap out system (or developer)
+ *   messages in new responses.
+ * @param text
+ * @param tools An array of tools the model may call while generating a
+ *   response. You can specify which tool to use by setting the `tool_choice`
+ *   parameter. The two categories of tools you can provide the model are: -
+ *   **Built-in tools**: Tools that are provided by OpenAI that extend the
+ *   model's capabilities, like [web search](/docs/guides/tools-web-search) or
+ *   [file search](/docs/guides/tools-file-search). Learn more about [built-in
+ *   tools](/docs/guides/tools). - **Function calls (custom tools)**: Functions
+ *   that are defined by you, enabling the model to call your own code. Learn
+ *   more about [function calling](/docs/guides/function-calling).
+ * @param toolChoice
+ * @param truncation The truncation strategy to use for the model response. -
+ *   `auto`: If the context of this response and previous ones exceeds the
+ *   model's context window size, the model will truncate the response to fit
+ *   the context window by dropping input items in the middle of the
+ *   conversation. - `disabled` (default): If a model response will exceed the
+ *   context window size for a model, the request will fail with a 400 error.
+ * @param include Specify additional output data to include in the model
+ *   response. Currently supported values are: - `file_search_call.results`:
+ *   Include the search results of the file search tool call. -
+ *   `message.input_image.image_url`: Include image urls from the input
+ *   message. - `computer_call_output.output.image_url`: Include image urls from
+ *   the computer call output.
+ * @param parallelToolCalls Whether to allow the model to run tool calls in
+ *   parallel.
+ * @param store Whether to store the generated model response for later
+ *   retrieval via API.
+ * @param stream If set to true, the model response data will be streamed to the
+ *   client as it is generated using
+ *   [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format).
+ *   See the [Streaming section below](/docs/api-reference/responses-streaming)
+ *   for more information.
+ */
+data class CreateResponse(
+    @Json(name = "model") val model: ModelIdsResponses,
+    @Json(name = "input") val input: CreateResponseAllOfInput,
+
+    /* Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard.   Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.  */
+    @Json(name = "metadata")
+    val metadata: kotlin.collections.Map<kotlin.String, kotlin.String>? = null,
+
+    /* What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or `top_p` but not both.  */
+    @Json(name = "temperature")
+    val temperature: java.math.BigDecimal? = java.math.BigDecimal("1"),
+
+    /* An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.  We generally recommend altering this or `temperature` but not both.  */
+    @Json(name = "top_p")
+    val topP: java.math.BigDecimal? = java.math.BigDecimal("1"),
+
+    /* A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices#end-user-ids).  */
+    @Json(name = "user") val user: kotlin.String? = null,
+
+    /* The unique ID of the previous response to the model. Use this to create multi-turn conversations. Learn more about  [conversation state](/docs/guides/conversation-state).  */
+    @Json(name = "previous_response_id")
+    val previousResponseId: kotlin.String? = null,
+    @Json(name = "reasoning") val reasoning: Reasoning? = null,
+
+    /* An upper bound for the number of tokens that can be generated for a response, including visible output tokens and [reasoning tokens](/docs/guides/reasoning).  */
+    @Json(name = "max_output_tokens") val maxOutputTokens: kotlin.Int? = null,
+
+    /* Inserts a system (or developer) message as the first item in the model's context.  When using along with `previous_response_id`, the instructions from a previous response will be not be carried over to the next response. This makes it simple to swap out system (or developer) messages in new responses.  */
+    @Json(name = "instructions") val instructions: kotlin.String? = null,
+    @Json(name = "text") val text: ResponsePropertiesText? = null,
+
+    /* An array of tools the model may call while generating a response. You  can specify which tool to use by setting the `tool_choice` parameter.  The two categories of tools you can provide the model are:  - **Built-in tools**: Tools that are provided by OpenAI that extend the   model's capabilities, like [web search](/docs/guides/tools-web-search)   or [file search](/docs/guides/tools-file-search). Learn more about   [built-in tools](/docs/guides/tools). - **Function calls (custom tools)**: Functions that are defined by you,   enabling the model to call your own code. Learn more about   [function calling](/docs/guides/function-calling).  */
+    @Json(name = "tools") val tools: kotlin.collections.List<Tool>? = null,
+    @Json(name = "tool_choice")
+    val toolChoice: ResponsePropertiesToolChoice? = null,
+
+    /* The truncation strategy to use for the model response. - `auto`: If the context of this response and previous ones exceeds   the model's context window size, the model will truncate the    response to fit the context window by dropping input items in the   middle of the conversation.  - `disabled` (default): If a model response will exceed the context window    size for a model, the request will fail with a 400 error.  */
+    @Json(name = "truncation")
+    val truncation: CreateResponse.Truncation? = Truncation.disabled,
+
+    /* Specify additional output data to include in the model response. Currently supported values are: - `file_search_call.results`: Include the search results of   the file search tool call. - `message.input_image.image_url`: Include image urls from the input message. - `computer_call_output.output.image_url`: Include image urls from the computer call output.  */
+    @Json(name = "include")
+    val include: kotlin.collections.List<Includable>? = null,
+
+    /* Whether to allow the model to run tool calls in parallel.  */
+    @Json(name = "parallel_tool_calls")
+    val parallelToolCalls: kotlin.Boolean? = true,
+
+    /* Whether to store the generated model response for later retrieval via API.  */
+    @Json(name = "store") val store: kotlin.Boolean? = true,
+
+    /* If set to true, the model response data will be streamed to the client as it is generated using [server-sent events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format). See the [Streaming section below](/docs/api-reference/responses-streaming) for more information.  */
+    @Json(name = "stream") val stream: kotlin.Boolean? = false,
+) {
+
+    /**
+     * The truncation strategy to use for the model response. - `auto`: If the
+     * context of this response and previous ones exceeds the model's context
+     * window size, the model will truncate the response to fit the context
+     * window by dropping input items in the middle of the conversation. -
+     * `disabled` (default): If a model response will exceed the context window
+     * size for a model, the request will fail with a 400 error.
+     *
+     * Values: auto,disabled
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Truncation(val value: kotlin.String) {
+        @Json(name = "auto") auto("auto"),
+        @Json(name = "disabled") disabled("disabled"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/CreateResponseAllOfInput.kt b/lib/src/main/kotlin/com/openai/models/CreateResponseAllOfInput.kt
new file mode 100644
index 00000000..aa72e44c
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/CreateResponseAllOfInput.kt
@@ -0,0 +1,21 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+/**
+ * Text, image, or file inputs to the model, used to generate a response. Learn
+ * more: - [Text inputs and outputs](/docs/guides/text) - [Image
+ * inputs](/docs/guides/images) - [File
+ * inputs](/docs/guides/pdf-files) - [Conversation
+ * state](/docs/guides/conversation-state) - [Function calling](/docs/guides/function-calling)
+ */
+class CreateResponseAllOfInput() {}
diff --git a/lib/src/main/kotlin/com/openai/models/CreateRunRequest.kt b/lib/src/main/kotlin/com/openai/models/CreateRunRequest.kt
index 3395be8e..8582032c 100644
--- a/lib/src/main/kotlin/com/openai/models/CreateRunRequest.kt
+++ b/lib/src/main/kotlin/com/openai/models/CreateRunRequest.kt
@@ -116,5 +116,5 @@ data class CreateRunRequest(
     @Json(name = "parallel_tool_calls")
     val parallelToolCalls: kotlin.Boolean? = true,
     @Json(name = "response_format")
-    val responseFormat: AssistantObjectResponseFormat? = null,
+    val responseFormat: AssistantsApiResponseFormatOption? = null,
 ) {}
diff --git a/lib/src/main/kotlin/com/openai/models/CreateSpeechRequest.kt b/lib/src/main/kotlin/com/openai/models/CreateSpeechRequest.kt
index 06670d9c..fedbb7ca 100644
--- a/lib/src/main/kotlin/com/openai/models/CreateSpeechRequest.kt
+++ b/lib/src/main/kotlin/com/openai/models/CreateSpeechRequest.kt
@@ -18,10 +18,9 @@ import com.squareup.moshi.JsonClass
  * @param model
  * @param input The text to generate audio for. The maximum length is 4096
  *   characters.
- * @param voice The voice to use when generating the audio. Supported voices are
- *   `alloy`, `ash`, `coral`, `echo`, `fable`, `onyx`, `nova`, `sage` and
- *   `shimmer`. Previews of the voices are available in the
- *   [Text to speech guide](/docs/guides/text-to-speech#voice-options).
+ * @param voice
+ * @param instructions Control the voice of your generated audio with additional
+ *   instructions. Does not work with `tts-1` or `tts-1-hd`.
  * @param responseFormat The format to audio in. Supported formats are `mp3`,
  *   `opus`, `aac`, `flac`, `wav`, and `pcm`.
  * @param speed The speed of the generated audio. Select a value from `0.25` to
@@ -32,9 +31,10 @@ data class CreateSpeechRequest(
 
     /* The text to generate audio for. The maximum length is 4096 characters. */
     @Json(name = "input") val input: kotlin.String,
+    @Json(name = "voice") val voice: VoiceIdsShared,
 
-    /* The voice to use when generating the audio. Supported voices are `alloy`, `ash`, `coral`, `echo`, `fable`, `onyx`, `nova`, `sage` and `shimmer`. Previews of the voices are available in the [Text to speech guide](/docs/guides/text-to-speech#voice-options). */
-    @Json(name = "voice") val voice: CreateSpeechRequest.Voice,
+    /* Control the voice of your generated audio with additional instructions. Does not work with `tts-1` or `tts-1-hd`. */
+    @Json(name = "instructions") val instructions: kotlin.String? = null,
 
     /* The format to audio in. Supported formats are `mp3`, `opus`, `aac`, `flac`, `wav`, and `pcm`. */
     @Json(name = "response_format")
@@ -46,27 +46,6 @@ data class CreateSpeechRequest(
     val speed: java.math.BigDecimal? = java.math.BigDecimal("1"),
 ) {
 
-    /**
-     * The voice to use when generating the audio. Supported voices are `alloy`,
-     * `ash`, `coral`, `echo`, `fable`, `onyx`, `nova`, `sage` and `shimmer`.
-     * Previews of the voices are available in the
-     * [Text to speech guide](/docs/guides/text-to-speech#voice-options).
-     *
-     * Values: alloy,ash,coral,echo,fable,onyx,nova,sage,shimmer
-     */
-    @JsonClass(generateAdapter = false)
-    enum class Voice(val value: kotlin.String) {
-        @Json(name = "alloy") alloy("alloy"),
-        @Json(name = "ash") ash("ash"),
-        @Json(name = "coral") coral("coral"),
-        @Json(name = "echo") echo("echo"),
-        @Json(name = "fable") fable("fable"),
-        @Json(name = "onyx") onyx("onyx"),
-        @Json(name = "nova") nova("nova"),
-        @Json(name = "sage") sage("sage"),
-        @Json(name = "shimmer") shimmer("shimmer"),
-    }
-
     /**
      * The format to audio in. Supported formats are `mp3`, `opus`, `aac`,
      * `flac`, `wav`, and `pcm`.
diff --git a/lib/src/main/kotlin/com/openai/models/CreateSpeechRequestModel.kt b/lib/src/main/kotlin/com/openai/models/CreateSpeechRequestModel.kt
index 531cfca7..c7b0de22 100644
--- a/lib/src/main/kotlin/com/openai/models/CreateSpeechRequestModel.kt
+++ b/lib/src/main/kotlin/com/openai/models/CreateSpeechRequestModel.kt
@@ -12,6 +12,7 @@
 package com.openai.models
 
 /**
- * One of the available [TTS models](/docs/models#tts): `tts-1` or `tts-1-hd`
+ * One of the available [TTS models](/docs/models#tts): `tts-1`, `tts-1-hd` or
+ * `gpt-4o-mini-tts`.
  */
 class CreateSpeechRequestModel() {}
diff --git a/lib/src/main/kotlin/com/openai/models/CreateThreadAndRunRequest.kt b/lib/src/main/kotlin/com/openai/models/CreateThreadAndRunRequest.kt
index 566c3b96..6a90975d 100644
--- a/lib/src/main/kotlin/com/openai/models/CreateThreadAndRunRequest.kt
+++ b/lib/src/main/kotlin/com/openai/models/CreateThreadAndRunRequest.kt
@@ -104,5 +104,5 @@ data class CreateThreadAndRunRequest(
     @Json(name = "parallel_tool_calls")
     val parallelToolCalls: kotlin.Boolean? = true,
     @Json(name = "response_format")
-    val responseFormat: AssistantObjectResponseFormat? = null,
+    val responseFormat: AssistantsApiResponseFormatOption? = null,
 ) {}
diff --git a/lib/src/main/kotlin/com/openai/models/CreateThreadRequestToolResourcesFileSearch.kt b/lib/src/main/kotlin/com/openai/models/CreateThreadRequestToolResourcesFileSearch.kt
index e9db7a59..aec5b9dd 100644
--- a/lib/src/main/kotlin/com/openai/models/CreateThreadRequestToolResourcesFileSearch.kt
+++ b/lib/src/main/kotlin/com/openai/models/CreateThreadRequestToolResourcesFileSearch.kt
@@ -12,4 +12,6 @@
 package com.openai.models
 
 /**  */
+// openai-openapi-kotlin change begin
 class CreateThreadRequestToolResourcesFileSearch() {}
+// openai-openapi-kotlin change end
diff --git a/lib/src/main/kotlin/com/openai/models/CreateTranscription200Response.kt b/lib/src/main/kotlin/com/openai/models/CreateTranscription200Response.kt
index d8a39a3d..f3901748 100644
--- a/lib/src/main/kotlin/com/openai/models/CreateTranscription200Response.kt
+++ b/lib/src/main/kotlin/com/openai/models/CreateTranscription200Response.kt
@@ -17,6 +17,9 @@ import com.squareup.moshi.Json
  * @param text The transcribed text.
  * @param language The language of the input audio.
  * @param duration The duration of the input audio.
+ * @param logprobs The log probabilities of the tokens in the transcription.
+ *   Only returned with the models `gpt-4o-transcribe` and
+ *   `gpt-4o-mini-transcribe` if `logprobs` is added to the `include` array.
  * @param words Extracted words and their corresponding timestamps.
  * @param segments Segments of the transcribed text and their corresponding
  *   details.
@@ -32,6 +35,10 @@ data class CreateTranscription200Response(
     /* The duration of the input audio. */
     @Json(name = "duration") val duration: java.math.BigDecimal,
 
+    /* The log probabilities of the tokens in the transcription. Only returned with the models `gpt-4o-transcribe` and `gpt-4o-mini-transcribe` if `logprobs` is added to the `include` array.  */
+    @Json(name = "logprobs")
+    val logprobs: kotlin.collections.List<LogProbProperties>? = null,
+
     /* Extracted words and their corresponding timestamps. */
     @Json(name = "words")
     val words: kotlin.collections.List<TranscriptionWord>? = null,
diff --git a/lib/src/main/kotlin/com/openai/models/CreateTranscriptionRequestModel.kt b/lib/src/main/kotlin/com/openai/models/CreateTranscriptionRequestModel.kt
index c1a4a8a4..b4c16340 100644
--- a/lib/src/main/kotlin/com/openai/models/CreateTranscriptionRequestModel.kt
+++ b/lib/src/main/kotlin/com/openai/models/CreateTranscriptionRequestModel.kt
@@ -12,7 +12,8 @@
 package com.openai.models
 
 /**
- * ID of the model to use. Only `whisper-1` (which is powered by our open source
- * Whisper V2 model) is currently available.
+ * ID of the model to use. The options are `gpt-4o-transcribe`,
+ * `gpt-4o-mini-transcribe`, and `whisper-1` (which is powered by our open
+ * source Whisper V2 model).
  */
 class CreateTranscriptionRequestModel() {}
diff --git a/lib/src/main/kotlin/com/openai/models/CreateTranscriptionResponseJson.kt b/lib/src/main/kotlin/com/openai/models/CreateTranscriptionResponseJson.kt
index 01449121..945f7808 100644
--- a/lib/src/main/kotlin/com/openai/models/CreateTranscriptionResponseJson.kt
+++ b/lib/src/main/kotlin/com/openai/models/CreateTranscriptionResponseJson.kt
@@ -18,9 +18,16 @@ import com.squareup.moshi.Json
  * input.
  *
  * @param text The transcribed text.
+ * @param logprobs The log probabilities of the tokens in the transcription.
+ *   Only returned with the models `gpt-4o-transcribe` and
+ *   `gpt-4o-mini-transcribe` if `logprobs` is added to the `include` array.
  */
 data class CreateTranscriptionResponseJson(
 
     /* The transcribed text. */
-    @Json(name = "text") val text: kotlin.String
+    @Json(name = "text") val text: kotlin.String,
+
+    /* The log probabilities of the tokens in the transcription. Only returned with the models `gpt-4o-transcribe` and `gpt-4o-mini-transcribe` if `logprobs` is added to the `include` array.  */
+    @Json(name = "logprobs")
+    val logprobs: kotlin.collections.List<LogProbProperties>? = null,
 ) {}
diff --git a/lib/src/main/kotlin/com/openai/models/CreateTranscriptionResponseStreamEvent.kt b/lib/src/main/kotlin/com/openai/models/CreateTranscriptionResponseStreamEvent.kt
new file mode 100644
index 00000000..47ab7d5a
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/CreateTranscriptionResponseStreamEvent.kt
@@ -0,0 +1,50 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * @param type The type of the event. Always `transcript.text.delta`.
+ * @param delta The text delta that was additionally transcribed.
+ * @param text The text that was transcribed.
+ * @param logprobs The log probabilities of the individual tokens in the
+ *   transcription. Only included if you
+ *   [create a transcription](/docs/api-reference/audio/create-transcription)
+ *   with the `include[]` parameter set to `logprobs`.
+ */
+interface CreateTranscriptionResponseStreamEvent {
+
+    /* The type of the event. Always `transcript.text.delta`.  */
+    @Json(name = "type") val type: CreateTranscriptionResponseStreamEvent.Type
+    /* The text delta that was additionally transcribed.  */
+    @Json(name = "delta") val delta: kotlin.String
+    /* The text that was transcribed.  */
+    @Json(name = "text") val text: kotlin.String
+    /* The log probabilities of the individual tokens in the transcription. Only included if you [create a transcription](/docs/api-reference/audio/create-transcription) with the `include[]` parameter set to `logprobs`.  */
+    @Json(name = "logprobs")
+    val logprobs: kotlin.collections.List<LogProbProperties>?
+
+    /**
+     * The type of the event. Always `transcript.text.delta`.
+     *
+     * Values: transcriptPeriodTextPeriodDelta,transcriptPeriodTextPeriodDone
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "transcript.text.delta")
+        transcriptPeriodTextPeriodDelta("transcript.text.delta"),
+        @Json(name = "transcript.text.done")
+        transcriptPeriodTextPeriodDone("transcript.text.done"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/CreateTranslationRequestModel.kt b/lib/src/main/kotlin/com/openai/models/CreateTranslationRequestModel.kt
new file mode 100644
index 00000000..e126f67e
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/CreateTranslationRequestModel.kt
@@ -0,0 +1,18 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+/**
+ * ID of the model to use. Only `whisper-1` (which is powered by our open source
+ * Whisper V2 model) is currently available.
+ */
+class CreateTranslationRequestModel() {}
diff --git a/lib/src/main/kotlin/com/openai/models/CreateVectorStoreFileBatchRequest.kt b/lib/src/main/kotlin/com/openai/models/CreateVectorStoreFileBatchRequest.kt
index af33a9b9..8f54054b 100644
--- a/lib/src/main/kotlin/com/openai/models/CreateVectorStoreFileBatchRequest.kt
+++ b/lib/src/main/kotlin/com/openai/models/CreateVectorStoreFileBatchRequest.kt
@@ -18,6 +18,11 @@ import com.squareup.moshi.Json
  *   vector store should use. Useful for tools like `file_search` that can
  *   access files.
  * @param chunkingStrategy
+ * @param attributes Set of 16 key-value pairs that can be attached to an
+ *   object. This can be useful for storing additional information about the
+ *   object in a structured format, and querying for objects via API or the
+ *   dashboard. Keys are strings with a maximum length of 64 characters. Values
+ *   are strings with a maximum length of 512 characters, booleans, or numbers.
  */
 data class CreateVectorStoreFileBatchRequest(
 
@@ -26,4 +31,10 @@ data class CreateVectorStoreFileBatchRequest(
     val fileIds: kotlin.collections.List<kotlin.String>,
     @Json(name = "chunking_strategy")
     val chunkingStrategy: ChunkingStrategyRequestParam? = null,
+
+    /* Set of 16 key-value pairs that can be attached to an object. This can be  useful for storing additional information about the object in a structured  format, and querying for objects via API or the dashboard. Keys are strings  with a maximum length of 64 characters. Values are strings with a maximum  length of 512 characters, booleans, or numbers.  */
+    @Json(name = "attributes")
+    val attributes:
+        kotlin.collections.Map<kotlin.String, VectorStoreFileAttributesValue>? =
+        null,
 ) {}
diff --git a/lib/src/main/kotlin/com/openai/models/CreateVectorStoreFileRequest.kt b/lib/src/main/kotlin/com/openai/models/CreateVectorStoreFileRequest.kt
index be7deec9..b04c707c 100644
--- a/lib/src/main/kotlin/com/openai/models/CreateVectorStoreFileRequest.kt
+++ b/lib/src/main/kotlin/com/openai/models/CreateVectorStoreFileRequest.kt
@@ -17,6 +17,11 @@ import com.squareup.moshi.Json
  * @param fileId A [File](/docs/api-reference/files) ID that the vector store
  *   should use. Useful for tools like `file_search` that can access files.
  * @param chunkingStrategy
+ * @param attributes Set of 16 key-value pairs that can be attached to an
+ *   object. This can be useful for storing additional information about the
+ *   object in a structured format, and querying for objects via API or the
+ *   dashboard. Keys are strings with a maximum length of 64 characters. Values
+ *   are strings with a maximum length of 512 characters, booleans, or numbers.
  */
 data class CreateVectorStoreFileRequest(
 
@@ -24,4 +29,10 @@ data class CreateVectorStoreFileRequest(
     @Json(name = "file_id") val fileId: kotlin.String,
     @Json(name = "chunking_strategy")
     val chunkingStrategy: ChunkingStrategyRequestParam? = null,
+
+    /* Set of 16 key-value pairs that can be attached to an object. This can be  useful for storing additional information about the object in a structured  format, and querying for objects via API or the dashboard. Keys are strings  with a maximum length of 64 characters. Values are strings with a maximum  length of 512 characters, booleans, or numbers.  */
+    @Json(name = "attributes")
+    val attributes:
+        kotlin.collections.Map<kotlin.String, VectorStoreFileAttributesValue>? =
+        null,
 ) {}
diff --git a/lib/src/main/kotlin/com/openai/models/DeleteFineTuningCheckpointPermissionResponse.kt b/lib/src/main/kotlin/com/openai/models/DeleteFineTuningCheckpointPermissionResponse.kt
new file mode 100644
index 00000000..655ea6a6
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/DeleteFineTuningCheckpointPermissionResponse.kt
@@ -0,0 +1,47 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * @param id The ID of the fine-tuned model checkpoint permission that was
+ *   deleted.
+ * @param `object` The object type, which is always \"checkpoint.permission\".
+ * @param deleted Whether the fine-tuned model checkpoint permission was
+ *   successfully deleted.
+ */
+data class DeleteFineTuningCheckpointPermissionResponse(
+
+    /* The ID of the fine-tuned model checkpoint permission that was deleted. */
+    @Json(name = "id") val id: kotlin.String,
+
+    /* The object type, which is always \"checkpoint.permission\". */
+    @Json(name = "object")
+    val `object`: DeleteFineTuningCheckpointPermissionResponse.`Object`,
+
+    /* Whether the fine-tuned model checkpoint permission was successfully deleted. */
+    @Json(name = "deleted") val deleted: kotlin.Boolean,
+) {
+
+    /**
+     * The object type, which is always \"checkpoint.permission\".
+     *
+     * Values: checkpointPeriodPermission
+     */
+    @JsonClass(generateAdapter = false)
+    enum class `Object`(val value: kotlin.String) {
+        @Json(name = "checkpoint.permission")
+        checkpointPeriodPermission("checkpoint.permission")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/DoubleClick.kt b/lib/src/main/kotlin/com/openai/models/DoubleClick.kt
new file mode 100644
index 00000000..63f03b41
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/DoubleClick.kt
@@ -0,0 +1,47 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * A double click action.
+ *
+ * @param type Specifies the event type. For a double click action, this
+ *   property is always set to `double_click`.
+ * @param x The x-coordinate where the double click occurred.
+ * @param y The y-coordinate where the double click occurred.
+ */
+data class DoubleClick(
+
+    /* Specifies the event type. For a double click action, this property is  always set to `double_click`.  */
+    @Json(name = "type") val type: DoubleClick.Type = Type.double_click,
+
+    /* The x-coordinate where the double click occurred.  */
+    @Json(name = "x") val x: kotlin.Int,
+
+    /* The y-coordinate where the double click occurred.  */
+    @Json(name = "y") val y: kotlin.Int,
+) {
+
+    /**
+     * Specifies the event type. For a double click action, this property is
+     * always set to `double_click`.
+     *
+     * Values: double_click
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "double_click") double_click("double_click")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/Drag.kt b/lib/src/main/kotlin/com/openai/models/Drag.kt
new file mode 100644
index 00000000..c52acb26
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/Drag.kt
@@ -0,0 +1,45 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * A drag action.
+ *
+ * @param type Specifies the event type. For a drag action, this property is
+ *   always set to `drag`.
+ * @param path An array of coordinates representing the path of the drag action.
+ *   Coordinates will appear as an array of objects, eg ``` [ { x: 100, y: 200
+ *   }, { x: 200, y: 300 } ] ```
+ */
+data class Drag(
+
+    /* Specifies the event type. For a drag action, this property is  always set to `drag`.  */
+    @Json(name = "type") val type: Drag.Type = Type.drag,
+
+    /* An array of coordinates representing the path of the drag action. Coordinates will appear as an array of objects, eg ``` [   { x: 100, y: 200 },   { x: 200, y: 300 } ] ```  */
+    @Json(name = "path") val path: kotlin.collections.List<Coordinate>,
+) {
+
+    /**
+     * Specifies the event type. For a drag action, this property is always set
+     * to `drag`.
+     *
+     * Values: drag
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "drag") drag("drag")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/EasyInputMessage.kt b/lib/src/main/kotlin/com/openai/models/EasyInputMessage.kt
new file mode 100644
index 00000000..e80b20bb
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/EasyInputMessage.kt
@@ -0,0 +1,62 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * A message input to the model with a role indicating instruction following
+ * hierarchy. Instructions given with the `developer` or `system` role take
+ * precedence over instructions given with the `user` role. Messages with the
+ * `assistant` role are presumed to have been generated by the model in previous
+ * interactions.
+ *
+ * @param role The role of the message input. One of `user`, `assistant`,
+ *   `system`, or `developer`.
+ * @param content
+ * @param type The type of the message input. Always `message`.
+ */
+data class EasyInputMessage(
+
+    /* The role of the message input. One of `user`, `assistant`, `system`, or `developer`.  */
+    @Json(name = "role") val role: EasyInputMessage.Role,
+    @Json(name = "content") val content: EasyInputMessageContent,
+
+    /* The type of the message input. Always `message`.  */
+    @Json(name = "type") val type: EasyInputMessage.Type? = null,
+) {
+
+    /**
+     * The role of the message input. One of `user`, `assistant`, `system`, or
+     * `developer`.
+     *
+     * Values: user,assistant,system,developer
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Role(val value: kotlin.String) {
+        @Json(name = "user") user("user"),
+        @Json(name = "assistant") assistant("assistant"),
+        @Json(name = "system") system("system"),
+        @Json(name = "developer") developer("developer"),
+    }
+
+    /**
+     * The type of the message input. Always `message`.
+     *
+     * Values: message
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "message") message("message")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/EasyInputMessageContent.kt b/lib/src/main/kotlin/com/openai/models/EasyInputMessageContent.kt
new file mode 100644
index 00000000..dbaabd09
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/EasyInputMessageContent.kt
@@ -0,0 +1,18 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+/**
+ * Text, image, or audio input to the model, used to generate a response. Can
+ * also contain previous assistant responses.
+ */
+class EasyInputMessageContent() {}
diff --git a/lib/src/main/kotlin/com/openai/models/FileCitation.kt b/lib/src/main/kotlin/com/openai/models/FileCitation.kt
new file mode 100644
index 00000000..99df8bab
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/FileCitation.kt
@@ -0,0 +1,45 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * A citation to a file.
+ *
+ * @param type The type of the file citation. Always `file_citation`.
+ * @param index The index of the file in the list of files.
+ * @param fileId The ID of the file.
+ */
+data class FileCitation(
+
+    /* The type of the file citation. Always `file_citation`.  */
+    @Json(name = "type") val type: FileCitation.Type,
+
+    /* The index of the file in the list of files.  */
+    @Json(name = "index") val index: kotlin.Int,
+
+    /* The ID of the file.  */
+    @Json(name = "file_id") val fileId: kotlin.String,
+) {
+
+    /**
+     * The type of the file citation. Always `file_citation`.
+     *
+     * Values: file_citation
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "file_citation") file_citation("file_citation")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/FilePath.kt b/lib/src/main/kotlin/com/openai/models/FilePath.kt
new file mode 100644
index 00000000..f9abe5b4
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/FilePath.kt
@@ -0,0 +1,45 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * A path to a file.
+ *
+ * @param type The type of the file path. Always `file_path`.
+ * @param fileId The ID of the file.
+ * @param index The index of the file in the list of files.
+ */
+data class FilePath(
+
+    /* The type of the file path. Always `file_path`.  */
+    @Json(name = "type") val type: FilePath.Type,
+
+    /* The ID of the file.  */
+    @Json(name = "file_id") val fileId: kotlin.String,
+
+    /* The index of the file in the list of files.  */
+    @Json(name = "index") val index: kotlin.Int,
+) {
+
+    /**
+     * The type of the file path. Always `file_path`.
+     *
+     * Values: file_path
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "file_path") file_path("file_path")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/FileSearchRanker.kt b/lib/src/main/kotlin/com/openai/models/FileSearchRanker.kt
new file mode 100644
index 00000000..c8a3ec5e
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/FileSearchRanker.kt
@@ -0,0 +1,56 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * The ranker to use for the file search. If not specified will use the `auto`
+ * ranker.
+ *
+ * Values: auto,default_2024_08_21
+ */
+@JsonClass(generateAdapter = false)
+enum class FileSearchRanker(val value: kotlin.String) {
+
+    @Json(name = "auto") auto("auto"),
+    @Json(name = "default_2024_08_21") default_2024_08_21("default_2024_08_21");
+
+    /**
+     * Override [toString()] to avoid using the enum variable name as the value,
+     * and instead use the actual value defined in the API spec file.
+     *
+     * This solves a problem when the variable name and its value are different,
+     * and ensures that the client sends the correct enum values to the server
+     * always.
+     */
+    override fun toString(): kotlin.String = value
+
+    companion object {
+        /**
+         * Converts the provided [data] to a [String] on success, null
+         * otherwise.
+         */
+        fun encode(data: kotlin.Any?): kotlin.String? =
+            if (data is FileSearchRanker) "$data" else null
+
+        /** Returns a valid [FileSearchRanker] for [data], null otherwise. */
+        fun decode(data: kotlin.Any?): FileSearchRanker? =
+            data?.let {
+                val normalizedData = "$it".lowercase()
+                values().firstOrNull { value ->
+                    it == value || normalizedData == "$value".lowercase()
+                }
+            }
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/FileSearchRankingOptions.kt b/lib/src/main/kotlin/com/openai/models/FileSearchRankingOptions.kt
index 0e292fd9..9ecaa53a 100644
--- a/lib/src/main/kotlin/com/openai/models/FileSearchRankingOptions.kt
+++ b/lib/src/main/kotlin/com/openai/models/FileSearchRankingOptions.kt
@@ -12,7 +12,6 @@
 package com.openai.models
 
 import com.squareup.moshi.Json
-import com.squareup.moshi.JsonClass
 
 /**
  * The ranking options for the file search. If not specified, the file search
@@ -22,28 +21,11 @@ import com.squareup.moshi.JsonClass
  *
  * @param scoreThreshold The score threshold for the file search. All values
  *   must be a floating point number between 0 and 1.
- * @param ranker The ranker to use for the file search. If not specified will
- *   use the `auto` ranker.
+ * @param ranker
  */
 data class FileSearchRankingOptions(
 
     /* The score threshold for the file search. All values must be a floating point number between 0 and 1. */
     @Json(name = "score_threshold") val scoreThreshold: java.math.BigDecimal,
-
-    /* The ranker to use for the file search. If not specified will use the `auto` ranker. */
-    @Json(name = "ranker") val ranker: FileSearchRankingOptions.Ranker? = null,
-) {
-
-    /**
-     * The ranker to use for the file search. If not specified will use the
-     * `auto` ranker.
-     *
-     * Values: auto,default_2024_08_21
-     */
-    @JsonClass(generateAdapter = false)
-    enum class Ranker(val value: kotlin.String) {
-        @Json(name = "auto") auto("auto"),
-        @Json(name = "default_2024_08_21")
-        default_2024_08_21("default_2024_08_21"),
-    }
-}
+    @Json(name = "ranker") val ranker: FileSearchRanker? = null,
+) {}
diff --git a/lib/src/main/kotlin/com/openai/models/FileSearchTool.kt b/lib/src/main/kotlin/com/openai/models/FileSearchTool.kt
new file mode 100644
index 00000000..0fb7a499
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/FileSearchTool.kt
@@ -0,0 +1,53 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * A tool that searches for relevant content from uploaded files. Learn more
+ * about the [file search tool](/docs/guides/tools-file-search).
+ *
+ * @param type The type of the file search tool. Always `file_search`.
+ * @param vectorStoreIds The IDs of the vector stores to search.
+ * @param maxNumResults The maximum number of results to return. This number
+ *   should be between 1 and 50 inclusive.
+ * @param filters
+ * @param rankingOptions
+ */
+data class FileSearchTool(
+
+    /* The type of the file search tool. Always `file_search`.  */
+    @Json(name = "type") val type: FileSearchTool.Type,
+
+    /* The IDs of the vector stores to search.  */
+    @Json(name = "vector_store_ids")
+    val vectorStoreIds: kotlin.collections.List<kotlin.String>,
+
+    /* The maximum number of results to return. This number should be between 1  and 50 inclusive.  */
+    @Json(name = "max_num_results") val maxNumResults: kotlin.Int? = null,
+    @Json(name = "filters") val filters: FileSearchToolFilters? = null,
+    @Json(name = "ranking_options")
+    val rankingOptions: FileSearchToolRankingOptions? = null,
+) {
+
+    /**
+     * The type of the file search tool. Always `file_search`.
+     *
+     * Values: file_search
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "file_search") file_search("file_search")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/FileSearchToolCall.kt b/lib/src/main/kotlin/com/openai/models/FileSearchToolCall.kt
new file mode 100644
index 00000000..9dbfffe9
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/FileSearchToolCall.kt
@@ -0,0 +1,71 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * The results of a file search tool call. See the
+ * [file search guide](/docs/guides/tools-file-search) for more information.
+ *
+ * @param id The unique ID of the file search tool call.
+ * @param type The type of the file search tool call. Always `file_search_call`.
+ * @param status The status of the file search tool call. One of `in_progress`,
+ *   `searching`, `incomplete` or `failed`,
+ * @param queries The queries used to search for files.
+ * @param results The results of the file search tool call.
+ */
+data class FileSearchToolCall(
+
+    /* The unique ID of the file search tool call.  */
+    @Json(name = "id") val id: kotlin.String,
+
+    /* The type of the file search tool call. Always `file_search_call`.  */
+    @Json(name = "type") val type: FileSearchToolCall.Type,
+
+    /* The status of the file search tool call. One of `in_progress`,  `searching`, `incomplete` or `failed`,  */
+    @Json(name = "status") val status: FileSearchToolCall.Status,
+
+    /* The queries used to search for files.  */
+    @Json(name = "queries") val queries: kotlin.collections.List<kotlin.String>,
+
+    /* The results of the file search tool call.  */
+    @Json(name = "results")
+    val results: kotlin.collections.List<FileSearchToolCallResultsInner>? = null,
+) {
+
+    /**
+     * The type of the file search tool call. Always `file_search_call`.
+     *
+     * Values: file_search_call
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "file_search_call") file_search_call("file_search_call")
+    }
+
+    /**
+     * The status of the file search tool call. One of `in_progress`,
+     * `searching`, `incomplete` or `failed`,
+     *
+     * Values: in_progress,searching,completed,incomplete,failed
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Status(val value: kotlin.String) {
+        @Json(name = "in_progress") in_progress("in_progress"),
+        @Json(name = "searching") searching("searching"),
+        @Json(name = "completed") completed("completed"),
+        @Json(name = "incomplete") incomplete("incomplete"),
+        @Json(name = "failed") failed("failed"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/FileSearchToolCallResultsInner.kt b/lib/src/main/kotlin/com/openai/models/FileSearchToolCallResultsInner.kt
new file mode 100644
index 00000000..dc4d0b6f
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/FileSearchToolCallResultsInner.kt
@@ -0,0 +1,46 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+
+/**
+ * @param fileId The unique ID of the file.
+ * @param text The text that was retrieved from the file.
+ * @param filename The name of the file.
+ * @param attributes Set of 16 key-value pairs that can be attached to an
+ *   object. This can be useful for storing additional information about the
+ *   object in a structured format, and querying for objects via API or the
+ *   dashboard. Keys are strings with a maximum length of 64 characters. Values
+ *   are strings with a maximum length of 512 characters, booleans, or numbers.
+ * @param score The relevance score of the file - a value between 0 and 1.
+ */
+data class FileSearchToolCallResultsInner(
+
+    /* The unique ID of the file.  */
+    @Json(name = "file_id") val fileId: kotlin.String? = null,
+
+    /* The text that was retrieved from the file.  */
+    @Json(name = "text") val text: kotlin.String? = null,
+
+    /* The name of the file.  */
+    @Json(name = "filename") val filename: kotlin.String? = null,
+
+    /* Set of 16 key-value pairs that can be attached to an object. This can be  useful for storing additional information about the object in a structured  format, and querying for objects via API or the dashboard. Keys are strings  with a maximum length of 64 characters. Values are strings with a maximum  length of 512 characters, booleans, or numbers.  */
+    @Json(name = "attributes")
+    val attributes:
+        kotlin.collections.Map<kotlin.String, VectorStoreFileAttributesValue>? =
+        null,
+
+    /* The relevance score of the file - a value between 0 and 1.  */
+    @Json(name = "score") val score: kotlin.Float? = null,
+) {}
diff --git a/lib/src/main/kotlin/com/openai/models/FileSearchToolFilters.kt b/lib/src/main/kotlin/com/openai/models/FileSearchToolFilters.kt
new file mode 100644
index 00000000..ef64257d
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/FileSearchToolFilters.kt
@@ -0,0 +1,60 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * A filter to apply based on file attributes.
+ *
+ * @param type Specifies the comparison operator: `eq`, `ne`, `gt`, `gte`, `lt`,
+ *   `lte`. - `eq`: equals - `ne`: not equal - `gt`: greater than - `gte`:
+ *   greater than or equal - `lt`: less than - `lte`: less than or equal
+ * @param key The key to compare against the value.
+ * @param `value`
+ * @param filters Array of filters to combine. Items can be `ComparisonFilter`
+ *   or `CompoundFilter`.
+ */
+data class FileSearchToolFilters(
+
+    /* Specifies the comparison operator: `eq`, `ne`, `gt`, `gte`, `lt`, `lte`. - `eq`: equals - `ne`: not equal - `gt`: greater than - `gte`: greater than or equal - `lt`: less than - `lte`: less than or equal  */
+    @Json(name = "type") val type: FileSearchToolFilters.Type = Type.eq,
+
+    /* The key to compare against the value. */
+    @Json(name = "key") val key: kotlin.String,
+    @Json(name = "value") val `value`: ComparisonFilterValue,
+
+    /* Array of filters to combine. Items can be `ComparisonFilter` or `CompoundFilter`. */
+    @Json(name = "filters")
+    val filters: kotlin.collections.List<CompoundFilterFiltersInner>,
+) {
+
+    /**
+     * Specifies the comparison operator: `eq`, `ne`, `gt`, `gte`, `lt`,
+     * `lte`. - `eq`: equals - `ne`: not equal - `gt`: greater than - `gte`:
+     * greater than or equal - `lt`: less than - `lte`: less than or equal
+     *
+     * Values: eq,ne,gt,gte,lt,lte,and,or
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "eq") eq("eq"),
+        @Json(name = "ne") ne("ne"),
+        @Json(name = "gt") gt("gt"),
+        @Json(name = "gte") gte("gte"),
+        @Json(name = "lt") lt("lt"),
+        @Json(name = "lte") lte("lte"),
+        @Json(name = "and") and("and"),
+        @Json(name = "or") or("or"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/FileSearchToolRankingOptions.kt b/lib/src/main/kotlin/com/openai/models/FileSearchToolRankingOptions.kt
new file mode 100644
index 00000000..73440437
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/FileSearchToolRankingOptions.kt
@@ -0,0 +1,47 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Ranking options for search.
+ *
+ * @param ranker The ranker to use for the file search.
+ * @param scoreThreshold The score threshold for the file search, a number
+ *   between 0 and 1. Numbers closer to 1 will attempt to return only the most
+ *   relevant results, but may return fewer results.
+ */
+data class FileSearchToolRankingOptions(
+
+    /* The ranker to use for the file search. */
+    @Json(name = "ranker")
+    val ranker: FileSearchToolRankingOptions.Ranker? = Ranker.auto,
+
+    /* The score threshold for the file search, a number between 0 and 1. Numbers closer to 1 will attempt to return only the most relevant results, but may return fewer results.  */
+    @Json(name = "score_threshold")
+    val scoreThreshold: java.math.BigDecimal? = java.math.BigDecimal("0"),
+) {
+
+    /**
+     * The ranker to use for the file search.
+     *
+     * Values: auto,defaultMinus2024Minus11Minus15
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Ranker(val value: kotlin.String) {
+        @Json(name = "auto") auto("auto"),
+        @Json(name = "default-2024-11-15")
+        defaultMinus2024Minus11Minus15("default-2024-11-15"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/FineTuningCheckpointPermission.kt b/lib/src/main/kotlin/com/openai/models/FineTuningCheckpointPermission.kt
new file mode 100644
index 00000000..cc459022
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/FineTuningCheckpointPermission.kt
@@ -0,0 +1,53 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * The `checkpoint.permission` object represents a permission for a fine-tuned
+ * model checkpoint.
+ *
+ * @param id The permission identifier, which can be referenced in the API
+ *   endpoints.
+ * @param createdAt The Unix timestamp (in seconds) for when the permission was
+ *   created.
+ * @param projectId The project identifier that the permission is for.
+ * @param `object` The object type, which is always \"checkpoint.permission\".
+ */
+data class FineTuningCheckpointPermission(
+
+    /* The permission identifier, which can be referenced in the API endpoints. */
+    @Json(name = "id") val id: kotlin.String,
+
+    /* The Unix timestamp (in seconds) for when the permission was created. */
+    @Json(name = "created_at") val createdAt: kotlin.Int,
+
+    /* The project identifier that the permission is for. */
+    @Json(name = "project_id") val projectId: kotlin.String,
+
+    /* The object type, which is always \"checkpoint.permission\". */
+    @Json(name = "object") val `object`: FineTuningCheckpointPermission.`Object`,
+) {
+
+    /**
+     * The object type, which is always \"checkpoint.permission\".
+     *
+     * Values: checkpointPeriodPermission
+     */
+    @JsonClass(generateAdapter = false)
+    enum class `Object`(val value: kotlin.String) {
+        @Json(name = "checkpoint.permission")
+        checkpointPeriodPermission("checkpoint.permission")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/FineTuningJob.kt b/lib/src/main/kotlin/com/openai/models/FineTuningJob.kt
index 6b533a68..f888ee53 100644
--- a/lib/src/main/kotlin/com/openai/models/FineTuningJob.kt
+++ b/lib/src/main/kotlin/com/openai/models/FineTuningJob.kt
@@ -54,6 +54,11 @@ import com.squareup.moshi.JsonClass
  *   fine-tuning job is estimated to finish. The value will be null if the
  *   fine-tuning job is not running.
  * @param method
+ * @param metadata Set of 16 key-value pairs that can be attached to an object.
+ *   This can be useful for storing additional information about the object in a
+ *   structured format, and querying for objects via API or the dashboard. Keys
+ *   are strings with a maximum length of 64 characters. Values are strings with
+ *   a maximum length of 512 characters.
  */
 data class FineTuningJob(
 
@@ -108,6 +113,10 @@ data class FineTuningJob(
     /* The Unix timestamp (in seconds) for when the fine-tuning job is estimated to finish. The value will be null if the fine-tuning job is not running. */
     @Json(name = "estimated_finish") val estimatedFinish: kotlin.Int? = null,
     @Json(name = "method") val method: FineTuneMethod? = null,
+
+    /* Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard.   Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.  */
+    @Json(name = "metadata")
+    val metadata: kotlin.collections.Map<kotlin.String, kotlin.String>? = null,
 ) {
 
     /**
diff --git a/lib/src/main/kotlin/com/openai/models/FunctionTool.kt b/lib/src/main/kotlin/com/openai/models/FunctionTool.kt
new file mode 100644
index 00000000..f8eba866
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/FunctionTool.kt
@@ -0,0 +1,57 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Defines a function in your own code the model can choose to call. Learn more
+ * about [function calling](/docs/guides/function-calling).
+ *
+ * @param type The type of the function tool. Always `function`.
+ * @param name The name of the function to call.
+ * @param parameters A JSON schema object describing the parameters of the
+ *   function.
+ * @param strict Whether to enforce strict parameter validation. Default `true`.
+ * @param description A description of the function. Used by the model to
+ *   determine whether or not to call the function.
+ */
+data class FunctionTool(
+
+    /* The type of the function tool. Always `function`.  */
+    @Json(name = "type") val type: FunctionTool.Type,
+
+    /* The name of the function to call.  */
+    @Json(name = "name") val name: kotlin.String,
+
+    /* A JSON schema object describing the parameters of the function.  */
+    @Json(name = "parameters")
+    val parameters: kotlin.collections.Map<kotlin.String, kotlin.Any>,
+
+    /* Whether to enforce strict parameter validation. Default `true`.  */
+    @Json(name = "strict") val strict: kotlin.Boolean,
+
+    /* A description of the function. Used by the model to determine whether or not to call the function.  */
+    @Json(name = "description") val description: kotlin.String? = null,
+) {
+
+    /**
+     * The type of the function tool. Always `function`.
+     *
+     * Values: function
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "function") function("function")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/FunctionToolCall.kt b/lib/src/main/kotlin/com/openai/models/FunctionToolCall.kt
new file mode 100644
index 00000000..062a7921
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/FunctionToolCall.kt
@@ -0,0 +1,72 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * A tool call to run a function. See the
+ * [function calling guide](/docs/guides/function-calling) for more information.
+ *
+ * @param type The type of the function tool call. Always `function_call`.
+ * @param callId The unique ID of the function tool call generated by the model.
+ * @param name The name of the function to run.
+ * @param arguments A JSON string of the arguments to pass to the function.
+ * @param id The unique ID of the function tool call.
+ * @param status The status of the item. One of `in_progress`, `completed`, or
+ *   `incomplete`. Populated when items are returned via API.
+ */
+data class FunctionToolCall(
+
+    /* The type of the function tool call. Always `function_call`.  */
+    @Json(name = "type") val type: FunctionToolCall.Type,
+
+    /* The unique ID of the function tool call generated by the model.  */
+    @Json(name = "call_id") val callId: kotlin.String,
+
+    /* The name of the function to run.  */
+    @Json(name = "name") val name: kotlin.String,
+
+    /* A JSON string of the arguments to pass to the function.  */
+    @Json(name = "arguments") val arguments: kotlin.String,
+
+    /* The unique ID of the function tool call.  */
+    @Json(name = "id") val id: kotlin.String? = null,
+
+    /* The status of the item. One of `in_progress`, `completed`, or `incomplete`. Populated when items are returned via API.  */
+    @Json(name = "status") val status: FunctionToolCall.Status? = null,
+) {
+
+    /**
+     * The type of the function tool call. Always `function_call`.
+     *
+     * Values: function_call
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "function_call") function_call("function_call")
+    }
+
+    /**
+     * The status of the item. One of `in_progress`, `completed`, or
+     * `incomplete`. Populated when items are returned via API.
+     *
+     * Values: in_progress,completed,incomplete
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Status(val value: kotlin.String) {
+        @Json(name = "in_progress") in_progress("in_progress"),
+        @Json(name = "completed") completed("completed"),
+        @Json(name = "incomplete") incomplete("incomplete"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/FunctionToolCallOutput.kt b/lib/src/main/kotlin/com/openai/models/FunctionToolCallOutput.kt
new file mode 100644
index 00000000..73244200
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/FunctionToolCallOutput.kt
@@ -0,0 +1,70 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * The output of a function tool call.
+ *
+ * @param type The type of the function tool call output. Always
+ *   `function_call_output`.
+ * @param callId The unique ID of the function tool call generated by the model.
+ * @param output A JSON string of the output of the function tool call.
+ * @param id The unique ID of the function tool call output. Populated when this
+ *   item is returned via API.
+ * @param status The status of the item. One of `in_progress`, `completed`, or
+ *   `incomplete`. Populated when items are returned via API.
+ */
+data class FunctionToolCallOutput(
+
+    /* The type of the function tool call output. Always `function_call_output`.  */
+    @Json(name = "type") val type: FunctionToolCallOutput.Type,
+
+    /* The unique ID of the function tool call generated by the model.  */
+    @Json(name = "call_id") val callId: kotlin.String,
+
+    /* A JSON string of the output of the function tool call.  */
+    @Json(name = "output") val output: kotlin.String,
+
+    /* The unique ID of the function tool call output. Populated when this item is returned via API.  */
+    @Json(name = "id") val id: kotlin.String? = null,
+
+    /* The status of the item. One of `in_progress`, `completed`, or `incomplete`. Populated when items are returned via API.  */
+    @Json(name = "status") val status: FunctionToolCallOutput.Status? = null,
+) {
+
+    /**
+     * The type of the function tool call output. Always `function_call_output`.
+     *
+     * Values: function_call_output
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "function_call_output")
+        function_call_output("function_call_output")
+    }
+
+    /**
+     * The status of the item. One of `in_progress`, `completed`, or
+     * `incomplete`. Populated when items are returned via API.
+     *
+     * Values: in_progress,completed,incomplete
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Status(val value: kotlin.String) {
+        @Json(name = "in_progress") in_progress("in_progress"),
+        @Json(name = "completed") completed("completed"),
+        @Json(name = "incomplete") incomplete("incomplete"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/FunctionToolCallOutputResource.kt b/lib/src/main/kotlin/com/openai/models/FunctionToolCallOutputResource.kt
new file mode 100644
index 00000000..83b7f4a3
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/FunctionToolCallOutputResource.kt
@@ -0,0 +1,68 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * @param id The unique ID of the function call tool output.
+ * @param type The type of the function tool call output. Always
+ *   `function_call_output`.
+ * @param callId The unique ID of the function tool call generated by the model.
+ * @param output A JSON string of the output of the function tool call.
+ * @param status The status of the item. One of `in_progress`, `completed`, or
+ *   `incomplete`. Populated when items are returned via API.
+ */
+data class FunctionToolCallOutputResource(
+
+    /* The unique ID of the function call tool output.  */
+    @Json(name = "id") val id: kotlin.String,
+
+    /* The type of the function tool call output. Always `function_call_output`.  */
+    @Json(name = "type") val type: FunctionToolCallOutputResource.Type,
+
+    /* The unique ID of the function tool call generated by the model.  */
+    @Json(name = "call_id") val callId: kotlin.String,
+
+    /* A JSON string of the output of the function tool call.  */
+    @Json(name = "output") val output: kotlin.String,
+
+    /* The status of the item. One of `in_progress`, `completed`, or `incomplete`. Populated when items are returned via API.  */
+    @Json(name = "status")
+    val status: FunctionToolCallOutputResource.Status? = null,
+) {
+
+    /**
+     * The type of the function tool call output. Always `function_call_output`.
+     *
+     * Values: function_call_output
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "function_call_output")
+        function_call_output("function_call_output")
+    }
+
+    /**
+     * The status of the item. One of `in_progress`, `completed`, or
+     * `incomplete`. Populated when items are returned via API.
+     *
+     * Values: in_progress,completed,incomplete
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Status(val value: kotlin.String) {
+        @Json(name = "in_progress") in_progress("in_progress"),
+        @Json(name = "completed") completed("completed"),
+        @Json(name = "incomplete") incomplete("incomplete"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/FunctionToolCallResource.kt b/lib/src/main/kotlin/com/openai/models/FunctionToolCallResource.kt
new file mode 100644
index 00000000..92e9510c
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/FunctionToolCallResource.kt
@@ -0,0 +1,69 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * @param id The unique ID of the function tool call.
+ * @param type The type of the function tool call. Always `function_call`.
+ * @param callId The unique ID of the function tool call generated by the model.
+ * @param name The name of the function to run.
+ * @param arguments A JSON string of the arguments to pass to the function.
+ * @param status The status of the item. One of `in_progress`, `completed`, or
+ *   `incomplete`. Populated when items are returned via API.
+ */
+data class FunctionToolCallResource(
+
+    /* The unique ID of the function tool call.  */
+    @Json(name = "id") val id: kotlin.String,
+
+    /* The type of the function tool call. Always `function_call`.  */
+    @Json(name = "type") val type: FunctionToolCallResource.Type,
+
+    /* The unique ID of the function tool call generated by the model.  */
+    @Json(name = "call_id") val callId: kotlin.String,
+
+    /* The name of the function to run.  */
+    @Json(name = "name") val name: kotlin.String,
+
+    /* A JSON string of the arguments to pass to the function.  */
+    @Json(name = "arguments") val arguments: kotlin.String,
+
+    /* The status of the item. One of `in_progress`, `completed`, or `incomplete`. Populated when items are returned via API.  */
+    @Json(name = "status") val status: FunctionToolCallResource.Status? = null,
+) {
+
+    /**
+     * The type of the function tool call. Always `function_call`.
+     *
+     * Values: function_call
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "function_call") function_call("function_call")
+    }
+
+    /**
+     * The status of the item. One of `in_progress`, `completed`, or
+     * `incomplete`. Populated when items are returned via API.
+     *
+     * Values: in_progress,completed,incomplete
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Status(val value: kotlin.String) {
+        @Json(name = "in_progress") in_progress("in_progress"),
+        @Json(name = "completed") completed("completed"),
+        @Json(name = "incomplete") incomplete("incomplete"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/Includable.kt b/lib/src/main/kotlin/com/openai/models/Includable.kt
new file mode 100644
index 00000000..0bb217a8
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/Includable.kt
@@ -0,0 +1,67 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Specify additional output data to include in the model response. Currently
+ * supported values are: - `file_search_call.results`: Include the search
+ * results of the file search tool call. - `message.input_image.image_url`:
+ * Include image urls from the input message. -
+ * `computer_call_output.output.image_url`: Include image urls from the computer
+ * call output.
+ *
+ * Values:
+ * file_search_callPeriodResults,messagePeriodInput_imagePeriodImage_url,computer_call_outputPeriodOutputPeriodImage_url
+ */
+@JsonClass(generateAdapter = false)
+enum class Includable(val value: kotlin.String) {
+
+    @Json(name = "file_search_call.results")
+    file_search_callPeriodResults("file_search_call.results"),
+    @Json(name = "message.input_image.image_url")
+    messagePeriodInput_imagePeriodImage_url("message.input_image.image_url"),
+    @Json(name = "computer_call_output.output.image_url")
+    computer_call_outputPeriodOutputPeriodImage_url(
+        "computer_call_output.output.image_url"
+    );
+
+    /**
+     * Override [toString()] to avoid using the enum variable name as the value,
+     * and instead use the actual value defined in the API spec file.
+     *
+     * This solves a problem when the variable name and its value are different,
+     * and ensures that the client sends the correct enum values to the server
+     * always.
+     */
+    override fun toString(): kotlin.String = value
+
+    companion object {
+        /**
+         * Converts the provided [data] to a [String] on success, null
+         * otherwise.
+         */
+        fun encode(data: kotlin.Any?): kotlin.String? =
+            if (data is Includable) "$data" else null
+
+        /** Returns a valid [Includable] for [data], null otherwise. */
+        fun decode(data: kotlin.Any?): Includable? =
+            data?.let {
+                val normalizedData = "$it".lowercase()
+                values().firstOrNull { value ->
+                    it == value || normalizedData == "$value".lowercase()
+                }
+            }
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/InputAudio.kt b/lib/src/main/kotlin/com/openai/models/InputAudio.kt
new file mode 100644
index 00000000..35172633
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/InputAudio.kt
@@ -0,0 +1,58 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * An audio input to the model.
+ *
+ * @param type The type of the input item. Always `input_audio`.
+ * @param `data` Base64-encoded audio data.
+ * @param format The format of the audio data. Currently supported formats are
+ *   `mp3` and `wav`.
+ */
+data class InputAudio(
+
+    /* The type of the input item. Always `input_audio`.  */
+    @Json(name = "type") val type: InputAudio.Type,
+
+    /* Base64-encoded audio data.  */
+    @Json(name = "data") val `data`: kotlin.String,
+
+    /* The format of the audio data. Currently supported formats are `mp3` and `wav`.  */
+    @Json(name = "format") val format: InputAudio.Format,
+) {
+
+    /**
+     * The type of the input item. Always `input_audio`.
+     *
+     * Values: input_audio
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "input_audio") input_audio("input_audio")
+    }
+
+    /**
+     * The format of the audio data. Currently supported formats are `mp3` and
+     * `wav`.
+     *
+     * Values: mp3,wav
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Format(val value: kotlin.String) {
+        @Json(name = "mp3") mp3("mp3"),
+        @Json(name = "wav") wav("wav"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/InputContent.kt b/lib/src/main/kotlin/com/openai/models/InputContent.kt
new file mode 100644
index 00000000..f80fd06f
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/InputContent.kt
@@ -0,0 +1,76 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * @param type The type of the input item. Always `input_text`.
+ * @param text The text input to the model.
+ * @param detail The detail level of the image to be sent to the model. One of
+ *   `high`, `low`, or `auto`. Defaults to `auto`.
+ * @param imageUrl The URL of the image to be sent to the model. A fully
+ *   qualified URL or base64 encoded image in a data URL.
+ * @param fileId The ID of the file to be sent to the model.
+ * @param filename The name of the file to be sent to the model.
+ * @param fileData The content of the file to be sent to the model.
+ */
+data class InputContent(
+
+    /* The type of the input item. Always `input_text`.  */
+    @Json(name = "type") val type: InputContent.Type,
+
+    /* The text input to the model.  */
+    @Json(name = "text") val text: kotlin.String,
+
+    /* The detail level of the image to be sent to the model. One of `high`, `low`, or `auto`. Defaults to `auto`.  */
+    @Json(name = "detail") val detail: InputContent.Detail = Detail.auto,
+
+    /* The URL of the image to be sent to the model. A fully qualified URL or base64 encoded image in a data URL.  */
+    @Json(name = "image_url") val imageUrl: kotlin.String? = null,
+
+    /* The ID of the file to be sent to the model.  */
+    @Json(name = "file_id") val fileId: kotlin.String? = null,
+
+    /* The name of the file to be sent to the model.  */
+    @Json(name = "filename") val filename: kotlin.String? = null,
+
+    /* The content of the file to be sent to the model.  */
+    @Json(name = "file_data") val fileData: kotlin.String? = null,
+) {
+
+    /**
+     * The type of the input item. Always `input_text`.
+     *
+     * Values: input_text,input_image,input_file
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "input_text") input_text("input_text"),
+        @Json(name = "input_image") input_image("input_image"),
+        @Json(name = "input_file") input_file("input_file"),
+    }
+
+    /**
+     * The detail level of the image to be sent to the model. One of `high`,
+     * `low`, or `auto`. Defaults to `auto`.
+     *
+     * Values: high,low,auto
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Detail(val value: kotlin.String) {
+        @Json(name = "high") high("high"),
+        @Json(name = "low") low("low"),
+        @Json(name = "auto") auto("auto"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/InputFile.kt b/lib/src/main/kotlin/com/openai/models/InputFile.kt
new file mode 100644
index 00000000..b00ccb63
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/InputFile.kt
@@ -0,0 +1,49 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * A file input to the model.
+ *
+ * @param type The type of the input item. Always `input_file`.
+ * @param fileId The ID of the file to be sent to the model.
+ * @param filename The name of the file to be sent to the model.
+ * @param fileData The content of the file to be sent to the model.
+ */
+data class InputFile(
+
+    /* The type of the input item. Always `input_file`.  */
+    @Json(name = "type") val type: InputFile.Type,
+
+    /* The ID of the file to be sent to the model.  */
+    @Json(name = "file_id") val fileId: kotlin.String? = null,
+
+    /* The name of the file to be sent to the model.  */
+    @Json(name = "filename") val filename: kotlin.String? = null,
+
+    /* The content of the file to be sent to the model.  */
+    @Json(name = "file_data") val fileData: kotlin.String? = null,
+) {
+
+    /**
+     * The type of the input item. Always `input_file`.
+     *
+     * Values: input_file
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "input_file") input_file("input_file")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/InputImage.kt b/lib/src/main/kotlin/com/openai/models/InputImage.kt
new file mode 100644
index 00000000..15383ded
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/InputImage.kt
@@ -0,0 +1,64 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * An image input to the model. Learn about [image inputs](/docs/guides/vision).
+ *
+ * @param type The type of the input item. Always `input_image`.
+ * @param detail The detail level of the image to be sent to the model. One of
+ *   `high`, `low`, or `auto`. Defaults to `auto`.
+ * @param imageUrl The URL of the image to be sent to the model. A fully
+ *   qualified URL or base64 encoded image in a data URL.
+ * @param fileId The ID of the file to be sent to the model.
+ */
+data class InputImage(
+
+    /* The type of the input item. Always `input_image`.  */
+    @Json(name = "type") val type: InputImage.Type,
+
+    /* The detail level of the image to be sent to the model. One of `high`, `low`, or `auto`. Defaults to `auto`.  */
+    @Json(name = "detail") val detail: InputImage.Detail = Detail.auto,
+
+    /* The URL of the image to be sent to the model. A fully qualified URL or base64 encoded image in a data URL.  */
+    @Json(name = "image_url") val imageUrl: kotlin.String? = null,
+
+    /* The ID of the file to be sent to the model.  */
+    @Json(name = "file_id") val fileId: kotlin.String? = null,
+) {
+
+    /**
+     * The type of the input item. Always `input_image`.
+     *
+     * Values: input_image
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "input_image") input_image("input_image")
+    }
+
+    /**
+     * The detail level of the image to be sent to the model. One of `high`,
+     * `low`, or `auto`. Defaults to `auto`.
+     *
+     * Values: high,low,auto
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Detail(val value: kotlin.String) {
+        @Json(name = "high") high("high"),
+        @Json(name = "low") low("low"),
+        @Json(name = "auto") auto("auto"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/InputItem.kt b/lib/src/main/kotlin/com/openai/models/InputItem.kt
new file mode 100644
index 00000000..5b3e5221
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/InputItem.kt
@@ -0,0 +1,71 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * @param role The role of the message input. One of `user`, `assistant`,
+ *   `system`, or `developer`.
+ * @param content
+ * @param type The type of the message input. Always `message`.
+ * @param status The status of the item. One of `in_progress`, `completed`, or
+ *   `incomplete`. Populated when items are returned via API.
+ * @param id The ID of the item to reference.
+ * @param queries The queries used to search for files.
+ * @param callId The unique ID of the function tool call generated by the model.
+ * @param action
+ * @param pendingSafetyChecks The pending safety checks for the computer call.
+ * @param output A JSON string of the output of the function tool call.
+ * @param name The name of the function to run.
+ * @param arguments A JSON string of the arguments to pass to the function.
+ * @param summary Reasoning text contents.
+ * @param results The results of the file search tool call.
+ * @param acknowledgedSafetyChecks The safety checks reported by the API that
+ *   have been acknowledged by the developer.
+ */
+interface InputItem {
+
+    /* The role of the message input. One of `user`, `assistant`, `system`, or `developer`.  */
+    @Json(name = "role") val role: InputItem.Role
+    @Json(name = "content") val content: EasyInputMessageContent
+    /* The type of the message input. Always `message`.  */
+    @Json(name = "type") val type: InputItem.Type
+    /* The ID of the item to reference.  */
+    @Json(name = "id") val id: kotlin.String
+
+    /**
+     * The role of the message input. One of `user`, `assistant`, `system`, or
+     * `developer`.
+     *
+     * Values: user,assistant,system,developer
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Role(val value: kotlin.String) {
+        @Json(name = "user") user("user"),
+        @Json(name = "assistant") assistant("assistant"),
+        @Json(name = "system") system("system"),
+        @Json(name = "developer") developer("developer"),
+    }
+
+    /**
+     * The type of the message input. Always `message`.
+     *
+     * Values: message,item_reference
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "message") message("message"),
+        @Json(name = "item_reference") item_reference("item_reference"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/InputMessage.kt b/lib/src/main/kotlin/com/openai/models/InputMessage.kt
new file mode 100644
index 00000000..c2b263eb
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/InputMessage.kt
@@ -0,0 +1,79 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * A message input to the model with a role indicating instruction following
+ * hierarchy. Instructions given with the `developer` or `system` role take
+ * precedence over instructions given with the `user` role.
+ *
+ * @param role The role of the message input. One of `user`, `system`, or
+ *   `developer`.
+ * @param content A list of one or many input items to the model, containing
+ *   different content types.
+ * @param type The type of the message input. Always set to `message`.
+ * @param status The status of item. One of `in_progress`, `completed`, or
+ *   `incomplete`. Populated when items are returned via API.
+ */
+data class InputMessage(
+
+    /* The role of the message input. One of `user`, `system`, or `developer`.  */
+    @Json(name = "role") val role: InputMessage.Role,
+
+    /* A list of one or many input items to the model, containing different content  types.  */
+    @Json(name = "content") val content: kotlin.collections.List<InputContent>,
+
+    /* The type of the message input. Always set to `message`.  */
+    @Json(name = "type") val type: InputMessage.Type? = null,
+
+    /* The status of item. One of `in_progress`, `completed`, or `incomplete`. Populated when items are returned via API.  */
+    @Json(name = "status") val status: InputMessage.Status? = null,
+) {
+
+    /**
+     * The role of the message input. One of `user`, `system`, or `developer`.
+     *
+     * Values: user,system,developer
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Role(val value: kotlin.String) {
+        @Json(name = "user") user("user"),
+        @Json(name = "system") system("system"),
+        @Json(name = "developer") developer("developer"),
+    }
+
+    /**
+     * The type of the message input. Always set to `message`.
+     *
+     * Values: message
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "message") message("message")
+    }
+
+    /**
+     * The status of item. One of `in_progress`, `completed`, or `incomplete`.
+     * Populated when items are returned via API.
+     *
+     * Values: in_progress,completed,incomplete
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Status(val value: kotlin.String) {
+        @Json(name = "in_progress") in_progress("in_progress"),
+        @Json(name = "completed") completed("completed"),
+        @Json(name = "incomplete") incomplete("incomplete"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/InputMessageResource.kt b/lib/src/main/kotlin/com/openai/models/InputMessageResource.kt
new file mode 100644
index 00000000..a9707ed0
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/InputMessageResource.kt
@@ -0,0 +1,79 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * @param role The role of the message input. One of `user`, `system`, or
+ *   `developer`.
+ * @param content A list of one or many input items to the model, containing
+ *   different content types.
+ * @param id The unique ID of the message input.
+ * @param type The type of the message input. Always set to `message`.
+ * @param status The status of item. One of `in_progress`, `completed`, or
+ *   `incomplete`. Populated when items are returned via API.
+ */
+data class InputMessageResource(
+
+    /* The role of the message input. One of `user`, `system`, or `developer`.  */
+    @Json(name = "role") val role: InputMessageResource.Role,
+
+    /* A list of one or many input items to the model, containing different content  types.  */
+    @Json(name = "content") val content: kotlin.collections.List<InputContent>,
+
+    /* The unique ID of the message input.  */
+    @Json(name = "id") val id: kotlin.String,
+
+    /* The type of the message input. Always set to `message`.  */
+    @Json(name = "type") val type: InputMessageResource.Type? = null,
+
+    /* The status of item. One of `in_progress`, `completed`, or `incomplete`. Populated when items are returned via API.  */
+    @Json(name = "status") val status: InputMessageResource.Status? = null,
+) {
+
+    /**
+     * The role of the message input. One of `user`, `system`, or `developer`.
+     *
+     * Values: user,system,developer
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Role(val value: kotlin.String) {
+        @Json(name = "user") user("user"),
+        @Json(name = "system") system("system"),
+        @Json(name = "developer") developer("developer"),
+    }
+
+    /**
+     * The type of the message input. Always set to `message`.
+     *
+     * Values: message
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "message") message("message")
+    }
+
+    /**
+     * The status of item. One of `in_progress`, `completed`, or `incomplete`.
+     * Populated when items are returned via API.
+     *
+     * Values: in_progress,completed,incomplete
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Status(val value: kotlin.String) {
+        @Json(name = "in_progress") in_progress("in_progress"),
+        @Json(name = "completed") completed("completed"),
+        @Json(name = "incomplete") incomplete("incomplete"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/InputText.kt b/lib/src/main/kotlin/com/openai/models/InputText.kt
new file mode 100644
index 00000000..b2012b9d
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/InputText.kt
@@ -0,0 +1,41 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * A text input to the model.
+ *
+ * @param type The type of the input item. Always `input_text`.
+ * @param text The text input to the model.
+ */
+data class InputText(
+
+    /* The type of the input item. Always `input_text`.  */
+    @Json(name = "type") val type: InputText.Type,
+
+    /* The text input to the model.  */
+    @Json(name = "text") val text: kotlin.String,
+) {
+
+    /**
+     * The type of the input item. Always `input_text`.
+     *
+     * Values: input_text
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "input_text") input_text("input_text")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/Item.kt b/lib/src/main/kotlin/com/openai/models/Item.kt
new file mode 100644
index 00000000..0b7dfb41
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/Item.kt
@@ -0,0 +1,118 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Content item used to generate a response.
+ *
+ * @param type The type of the message input. Always set to `message`.
+ * @param role The role of the output message. Always `assistant`.
+ * @param status The status of the item. One of `in_progress`, `completed`, or
+ *   `incomplete`. Populated when items are returned via API.
+ * @param content The content of the output message.
+ * @param id The unique identifier of the reasoning content.
+ * @param queries The queries used to search for files.
+ * @param callId The unique ID of the function tool call generated by the model.
+ * @param action
+ * @param pendingSafetyChecks The pending safety checks for the computer call.
+ * @param output A JSON string of the output of the function tool call.
+ * @param name The name of the function to run.
+ * @param arguments A JSON string of the arguments to pass to the function.
+ * @param summary Reasoning text contents.
+ * @param results The results of the file search tool call.
+ * @param acknowledgedSafetyChecks The safety checks reported by the API that
+ *   have been acknowledged by the developer.
+ */
+interface Item {
+
+    /* The type of the message input. Always set to `message`.  */
+    @Json(name = "type") val type: Item.Type
+    /* The role of the output message. Always `assistant`.  */
+    @Json(name = "role") val role: Item.Role
+    /* The status of the item. One of `in_progress`, `completed`, or `incomplete`. Populated when items are returned via API.  */
+    @Json(name = "status") val status: Item.Status
+    /* The content of the output message.  */
+    @Json(name = "content") val content: kotlin.collections.List<OutputContent>
+    /* The unique identifier of the reasoning content.  */
+    @Json(name = "id") val id: kotlin.String
+    /* The queries used to search for files.  */
+    @Json(name = "queries") val queries: kotlin.collections.List<kotlin.String>
+    /* The unique ID of the function tool call generated by the model.  */
+    @Json(name = "call_id") val callId: kotlin.String
+    @Json(name = "action") val action: ComputerAction
+    /* The pending safety checks for the computer call.  */
+    @Json(name = "pending_safety_checks")
+    val pendingSafetyChecks:
+        kotlin.collections.List<ComputerToolCallSafetyCheck>
+    /* A JSON string of the output of the function tool call.  */
+    @Json(name = "output") val output: kotlin.String
+    /* The name of the function to run.  */
+    @Json(name = "name") val name: kotlin.String
+    /* A JSON string of the arguments to pass to the function.  */
+    @Json(name = "arguments") val arguments: kotlin.String
+    /* Reasoning text contents.  */
+    @Json(name = "summary")
+    val summary: kotlin.collections.List<ReasoningItemSummaryInner>
+    /* The results of the file search tool call.  */
+    @Json(name = "results")
+    val results: kotlin.collections.List<FileSearchToolCallResultsInner>?
+    /* The safety checks reported by the API that have been acknowledged by the  developer.  */
+    @Json(name = "acknowledged_safety_checks")
+    val acknowledgedSafetyChecks:
+        kotlin.collections.List<ComputerToolCallSafetyCheck>?
+
+    /**
+     * The type of the message input. Always set to `message`.
+     *
+     * Values:
+     * message,file_search_call,computer_call,computer_call_output,web_search_call,function_call,function_call_output,reasoning
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "message") message("message"),
+        @Json(name = "file_search_call") file_search_call("file_search_call"),
+        @Json(name = "computer_call") computer_call("computer_call"),
+        @Json(name = "computer_call_output")
+        computer_call_output("computer_call_output"),
+        @Json(name = "web_search_call") web_search_call("web_search_call"),
+        @Json(name = "function_call") function_call("function_call"),
+        @Json(name = "function_call_output")
+        function_call_output("function_call_output"),
+        @Json(name = "reasoning") reasoning("reasoning"),
+    }
+
+    /**
+     * The role of the output message. Always `assistant`.
+     *
+     * Values: assistant
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Role(val value: kotlin.String) {
+        @Json(name = "assistant") assistant("assistant")
+    }
+
+    /**
+     * The status of the item. One of `in_progress`, `completed`, or
+     * `incomplete`. Populated when items are returned via API.
+     *
+     * Values: in_progress,completed,incomplete
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Status(val value: kotlin.String) {
+        @Json(name = "in_progress") in_progress("in_progress"),
+        @Json(name = "completed") completed("completed"),
+        @Json(name = "incomplete") incomplete("incomplete"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ItemReference.kt b/lib/src/main/kotlin/com/openai/models/ItemReference.kt
new file mode 100644
index 00000000..40f0034a
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ItemReference.kt
@@ -0,0 +1,41 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * An internal identifier for an item to reference.
+ *
+ * @param id The ID of the item to reference.
+ * @param type The type of item to reference. Always `item_reference`.
+ */
+data class ItemReference(
+
+    /* The ID of the item to reference.  */
+    @Json(name = "id") val id: kotlin.String,
+
+    /* The type of item to reference. Always `item_reference`.  */
+    @Json(name = "type") val type: ItemReference.Type,
+) {
+
+    /**
+     * The type of item to reference. Always `item_reference`.
+     *
+     * Values: item_reference
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "item_reference") item_reference("item_reference")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ItemResource.kt b/lib/src/main/kotlin/com/openai/models/ItemResource.kt
new file mode 100644
index 00000000..bbd8e0af
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ItemResource.kt
@@ -0,0 +1,113 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Content item used to generate a response.
+ *
+ * @param type The type of the message input. Always set to `message`.
+ * @param role The role of the output message. Always `assistant`.
+ * @param status The status of the item. One of `in_progress`, `completed`, or
+ *   `incomplete`. Populated when items are returned via API.
+ * @param content The content of the output message.
+ * @param id The unique ID of the function call tool output.
+ * @param queries The queries used to search for files.
+ * @param callId The unique ID of the function tool call generated by the model.
+ * @param action
+ * @param pendingSafetyChecks The pending safety checks for the computer call.
+ * @param output A JSON string of the output of the function tool call.
+ * @param name The name of the function to run.
+ * @param arguments A JSON string of the arguments to pass to the function.
+ * @param results The results of the file search tool call.
+ * @param acknowledgedSafetyChecks The safety checks reported by the API that
+ *   have been acknowledged by the developer.
+ */
+interface ItemResource {
+
+    /* The type of the message input. Always set to `message`.  */
+    @Json(name = "type") val type: ItemResource.Type
+    /* The role of the output message. Always `assistant`.  */
+    @Json(name = "role") val role: ItemResource.Role
+    /* The status of the item. One of `in_progress`, `completed`, or `incomplete`. Populated when items are returned via API.  */
+    @Json(name = "status") val status: ItemResource.Status
+    /* The content of the output message.  */
+    @Json(name = "content") val content: kotlin.collections.List<OutputContent>
+    /* The unique ID of the function call tool output.  */
+    @Json(name = "id") val id: kotlin.String
+    /* The queries used to search for files.  */
+    @Json(name = "queries") val queries: kotlin.collections.List<kotlin.String>
+    /* The unique ID of the function tool call generated by the model.  */
+    @Json(name = "call_id") val callId: kotlin.String
+    @Json(name = "action") val action: ComputerAction
+    /* The pending safety checks for the computer call.  */
+    @Json(name = "pending_safety_checks")
+    val pendingSafetyChecks:
+        kotlin.collections.List<ComputerToolCallSafetyCheck>
+    /* A JSON string of the output of the function tool call.  */
+    @Json(name = "output") val output: kotlin.String
+    /* The name of the function to run.  */
+    @Json(name = "name") val name: kotlin.String
+    /* A JSON string of the arguments to pass to the function.  */
+    @Json(name = "arguments") val arguments: kotlin.String
+    /* The results of the file search tool call.  */
+    @Json(name = "results")
+    val results: kotlin.collections.List<FileSearchToolCallResultsInner>?
+    /* The safety checks reported by the API that have been acknowledged by the  developer.  */
+    @Json(name = "acknowledged_safety_checks")
+    val acknowledgedSafetyChecks:
+        kotlin.collections.List<ComputerToolCallSafetyCheck>?
+
+    /**
+     * The type of the message input. Always set to `message`.
+     *
+     * Values:
+     * message,file_search_call,computer_call,computer_call_output,web_search_call,function_call,function_call_output
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "message") message("message"),
+        @Json(name = "file_search_call") file_search_call("file_search_call"),
+        @Json(name = "computer_call") computer_call("computer_call"),
+        @Json(name = "computer_call_output")
+        computer_call_output("computer_call_output"),
+        @Json(name = "web_search_call") web_search_call("web_search_call"),
+        @Json(name = "function_call") function_call("function_call"),
+        @Json(name = "function_call_output")
+        function_call_output("function_call_output"),
+    }
+
+    /**
+     * The role of the output message. Always `assistant`.
+     *
+     * Values: assistant
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Role(val value: kotlin.String) {
+        @Json(name = "assistant") assistant("assistant")
+    }
+
+    /**
+     * The status of the item. One of `in_progress`, `completed`, or
+     * `incomplete`. Populated when items are returned via API.
+     *
+     * Values: in_progress,completed,incomplete
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Status(val value: kotlin.String) {
+        @Json(name = "in_progress") in_progress("in_progress"),
+        @Json(name = "completed") completed("completed"),
+        @Json(name = "incomplete") incomplete("incomplete"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseFormatJsonSchemaJsonSchema.kt b/lib/src/main/kotlin/com/openai/models/JSONSchema.kt
similarity index 82%
rename from lib/src/main/kotlin/com/openai/models/ResponseFormatJsonSchemaJsonSchema.kt
rename to lib/src/main/kotlin/com/openai/models/JSONSchema.kt
index a02a6ba6..7076c3dc 100644
--- a/lib/src/main/kotlin/com/openai/models/ResponseFormatJsonSchemaJsonSchema.kt
+++ b/lib/src/main/kotlin/com/openai/models/JSONSchema.kt
@@ -14,30 +14,32 @@ package com.openai.models
 import com.squareup.moshi.Json
 
 /**
+ * Structured Outputs configuration options, including a JSON Schema.
+ *
  * @param name The name of the response format. Must be a-z, A-Z, 0-9, or
  *   contain underscores and dashes, with a maximum length of 64.
  * @param description A description of what the response format is for, used by
  *   the model to determine how to respond in the format.
  * @param schema The schema for the response format, described as a JSON Schema
- *   object.
+ *   object. Learn how to build JSON schemas [here](https://json-schema.org/).
  * @param strict Whether to enable strict schema adherence when generating the
  *   output. If set to true, the model will always follow the exact schema
  *   defined in the `schema` field. Only a subset of JSON Schema is supported
  *   when `strict` is `true`. To learn more, read the
  *   [Structured Outputs guide](/docs/guides/structured-outputs).
  */
-data class ResponseFormatJsonSchemaJsonSchema(
+data class JSONSchema(
 
-    /* The name of the response format. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64. */
+    /* The name of the response format. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64.  */
     @Json(name = "name") val name: kotlin.String,
 
-    /* A description of what the response format is for, used by the model to determine how to respond in the format. */
+    /* A description of what the response format is for, used by the model to determine how to respond in the format.  */
     @Json(name = "description") val description: kotlin.String? = null,
 
-    /* The schema for the response format, described as a JSON Schema object. */
+    /* The schema for the response format, described as a JSON Schema object. Learn how to build JSON schemas [here](https://json-schema.org/).  */
     @Json(name = "schema")
     val schema: kotlin.collections.Map<kotlin.String, kotlin.Any>? = null,
 
-    /* Whether to enable strict schema adherence when generating the output. If set to true, the model will always follow the exact schema defined in the `schema` field. Only a subset of JSON Schema is supported when `strict` is `true`. To learn more, read the [Structured Outputs guide](/docs/guides/structured-outputs). */
+    /* Whether to enable strict schema adherence when generating the output. If set to true, the model will always follow the exact schema defined in the `schema` field. Only a subset of JSON Schema is supported when `strict` is `true`. To learn more, read the [Structured Outputs guide](/docs/guides/structured-outputs).  */
     @Json(name = "strict") val strict: kotlin.Boolean? = false,
 ) {}
diff --git a/lib/src/main/kotlin/com/openai/models/KeyPress.kt b/lib/src/main/kotlin/com/openai/models/KeyPress.kt
new file mode 100644
index 00000000..613dabf8
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/KeyPress.kt
@@ -0,0 +1,45 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * A collection of keypresses the model would like to perform.
+ *
+ * @param type Specifies the event type. For a keypress action, this property is
+ *   always set to `keypress`.
+ * @param propertyKeys The combination of keys the model is requesting to be
+ *   pressed. This is an array of strings, each representing a key.
+ */
+data class KeyPress(
+
+    /* Specifies the event type. For a keypress action, this property is  always set to `keypress`.  */
+    @Json(name = "type") val type: KeyPress.Type = Type.keypress,
+
+    /* The combination of keys the model is requesting to be pressed. This is an array of strings, each representing a key.  */
+    @Json(name = "keys")
+    val propertyKeys: kotlin.collections.List<kotlin.String>,
+) {
+
+    /**
+     * Specifies the event type. For a keypress action, this property is always
+     * set to `keypress`.
+     *
+     * Values: keypress
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "keypress") keypress("keypress")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ListFineTuningCheckpointPermissionResponse.kt b/lib/src/main/kotlin/com/openai/models/ListFineTuningCheckpointPermissionResponse.kt
new file mode 100644
index 00000000..4706c6eb
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ListFineTuningCheckpointPermissionResponse.kt
@@ -0,0 +1,39 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * @param `data`
+ * @param `object`
+ * @param hasMore
+ * @param firstId
+ * @param lastId
+ */
+data class ListFineTuningCheckpointPermissionResponse(
+    @Json(name = "data")
+    val `data`: kotlin.collections.List<FineTuningCheckpointPermission>,
+    @Json(name = "object")
+    val `object`: ListFineTuningCheckpointPermissionResponse.`Object`,
+    @Json(name = "has_more") val hasMore: kotlin.Boolean,
+    @Json(name = "first_id") val firstId: kotlin.String? = null,
+    @Json(name = "last_id") val lastId: kotlin.String? = null,
+) {
+
+    /** Values: list */
+    @JsonClass(generateAdapter = false)
+    enum class `Object`(val value: kotlin.String) {
+        @Json(name = "list") list("list")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/LogProb.kt b/lib/src/main/kotlin/com/openai/models/LogProb.kt
new file mode 100644
index 00000000..d10fc6ed
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/LogProb.kt
@@ -0,0 +1,34 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+
+/**
+ * @param token The token that was used to generate the log probability.
+ * @param logprob The log probability of the token.
+ * @param bytes The bytes that were used to generate the log probability.
+ * @param topLogprobs
+ */
+data class LogProb(
+
+    /* The token that was used to generate the log probability.  */
+    @Json(name = "token") val token: kotlin.String,
+
+    /* The log probability of the token.  */
+    @Json(name = "logprob") val logprob: java.math.BigDecimal,
+
+    /* The bytes that were used to generate the log probability.  */
+    @Json(name = "bytes") val bytes: kotlin.collections.List<kotlin.Int>,
+    @Json(name = "top_logprobs")
+    val topLogprobs: kotlin.collections.List<LogProbProperties>? = null,
+) {}
diff --git a/lib/src/main/kotlin/com/openai/models/LogProbProperties.kt b/lib/src/main/kotlin/com/openai/models/LogProbProperties.kt
new file mode 100644
index 00000000..056f6728
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/LogProbProperties.kt
@@ -0,0 +1,33 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+
+/**
+ * A log probability object.
+ *
+ * @param token The token that was used to generate the log probability.
+ * @param logprob The log probability of the token.
+ * @param bytes The bytes that were used to generate the log probability.
+ */
+data class LogProbProperties(
+
+    /* The token that was used to generate the log probability.  */
+    @Json(name = "token") val token: kotlin.String,
+
+    /* The log probability of the token.  */
+    @Json(name = "logprob") val logprob: java.math.BigDecimal,
+
+    /* The bytes that were used to generate the log probability.  */
+    @Json(name = "bytes") val bytes: kotlin.collections.List<kotlin.Int>,
+) {}
diff --git a/lib/src/main/kotlin/com/openai/models/MessageContentTextObjectTextAnnotationsInner.kt b/lib/src/main/kotlin/com/openai/models/MessageContentTextObjectTextAnnotationsInner.kt
index f8815101..92d1a5a1 100644
--- a/lib/src/main/kotlin/com/openai/models/MessageContentTextObjectTextAnnotationsInner.kt
+++ b/lib/src/main/kotlin/com/openai/models/MessageContentTextObjectTextAnnotationsInner.kt
@@ -42,11 +42,11 @@ data class MessageContentTextObjectTextAnnotationsInner(
     /**
      * Always `file_citation`.
      *
-     * Values: citation,path
+     * Values: file_citation,file_path
      */
     @JsonClass(generateAdapter = false)
     enum class Type(val value: kotlin.String) {
-        @Json(name = "file_citation") citation("file_citation"),
-        @Json(name = "file_path") path("file_path"),
+        @Json(name = "file_citation") file_citation("file_citation"),
+        @Json(name = "file_path") file_path("file_path"),
     }
 }
diff --git a/lib/src/main/kotlin/com/openai/models/MessageDeltaContentTextObjectTextAnnotationsInner.kt b/lib/src/main/kotlin/com/openai/models/MessageDeltaContentTextObjectTextAnnotationsInner.kt
index 84f16c92..bc29bdc9 100644
--- a/lib/src/main/kotlin/com/openai/models/MessageDeltaContentTextObjectTextAnnotationsInner.kt
+++ b/lib/src/main/kotlin/com/openai/models/MessageDeltaContentTextObjectTextAnnotationsInner.kt
@@ -48,11 +48,11 @@ data class MessageDeltaContentTextObjectTextAnnotationsInner(
     /**
      * Always `file_citation`.
      *
-     * Values: citation,path
+     * Values: file_citation,file_path
      */
     @JsonClass(generateAdapter = false)
     enum class Type(val value: kotlin.String) {
-        @Json(name = "file_citation") citation("file_citation"),
-        @Json(name = "file_path") path("file_path"),
+        @Json(name = "file_citation") file_citation("file_citation"),
+        @Json(name = "file_path") file_path("file_path"),
     }
 }
diff --git a/lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequestStop.kt b/lib/src/main/kotlin/com/openai/models/ModelIds.kt
similarity index 70%
rename from lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequestStop.kt
rename to lib/src/main/kotlin/com/openai/models/ModelIds.kt
index a69b0683..ca5e9125 100644
--- a/lib/src/main/kotlin/com/openai/models/CreateChatCompletionRequestStop.kt
+++ b/lib/src/main/kotlin/com/openai/models/ModelIds.kt
@@ -11,5 +11,5 @@
 
 package com.openai.models
 
-/** Up to 4 sequences where the API will stop generating further tokens. */
-class CreateChatCompletionRequestStop() {}
+/**  */
+class ModelIds() {}
diff --git a/lib/src/main/kotlin/com/openai/models/ModelIdsResponses.kt b/lib/src/main/kotlin/com/openai/models/ModelIdsResponses.kt
new file mode 100644
index 00000000..4131fc6e
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ModelIdsResponses.kt
@@ -0,0 +1,15 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+/**  */
+class ModelIdsResponses() {}
diff --git a/lib/src/main/kotlin/com/openai/models/ModelIdsShared.kt b/lib/src/main/kotlin/com/openai/models/ModelIdsShared.kt
new file mode 100644
index 00000000..24291116
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ModelIdsShared.kt
@@ -0,0 +1,15 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+/**  */
+class ModelIdsShared() {}
diff --git a/lib/src/main/kotlin/com/openai/models/ModelResponseProperties.kt b/lib/src/main/kotlin/com/openai/models/ModelResponseProperties.kt
new file mode 100644
index 00000000..fd47e953
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ModelResponseProperties.kt
@@ -0,0 +1,51 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+
+/**
+ * @param metadata Set of 16 key-value pairs that can be attached to an object.
+ *   This can be useful for storing additional information about the object in a
+ *   structured format, and querying for objects via API or the dashboard. Keys
+ *   are strings with a maximum length of 64 characters. Values are strings with
+ *   a maximum length of 512 characters.
+ * @param temperature What sampling temperature to use, between 0 and 2. Higher
+ *   values like 0.8 will make the output more random, while lower values like
+ *   0.2 will make it more focused and deterministic. We generally recommend
+ *   altering this or `top_p` but not both.
+ * @param topP An alternative to sampling with temperature, called nucleus
+ *   sampling, where the model considers the results of the tokens with top_p
+ *   probability mass. So 0.1 means only the tokens comprising the top 10%
+ *   probability mass are considered. We generally recommend altering this or
+ *   `temperature` but not both.
+ * @param user A unique identifier representing your end-user, which can help
+ *   OpenAI to monitor and detect abuse.
+ *   [Learn more](/docs/guides/safety-best-practices#end-user-ids).
+ */
+data class ModelResponseProperties(
+
+    /* Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard.   Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.  */
+    @Json(name = "metadata")
+    val metadata: kotlin.collections.Map<kotlin.String, kotlin.String>? = null,
+
+    /* What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or `top_p` but not both.  */
+    @Json(name = "temperature")
+    val temperature: java.math.BigDecimal? = java.math.BigDecimal("1"),
+
+    /* An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.  We generally recommend altering this or `temperature` but not both.  */
+    @Json(name = "top_p")
+    val topP: java.math.BigDecimal? = java.math.BigDecimal("1"),
+
+    /* A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices#end-user-ids).  */
+    @Json(name = "user") val user: kotlin.String? = null,
+) {}
diff --git a/lib/src/main/kotlin/com/openai/models/ModifyAssistantRequest.kt b/lib/src/main/kotlin/com/openai/models/ModifyAssistantRequest.kt
index a76aef34..a3382757 100644
--- a/lib/src/main/kotlin/com/openai/models/ModifyAssistantRequest.kt
+++ b/lib/src/main/kotlin/com/openai/models/ModifyAssistantRequest.kt
@@ -73,5 +73,5 @@ data class ModifyAssistantRequest(
     @Json(name = "top_p")
     val topP: java.math.BigDecimal? = java.math.BigDecimal("1"),
     @Json(name = "response_format")
-    val responseFormat: AssistantObjectResponseFormat? = null,
+    val responseFormat: AssistantsApiResponseFormatOption? = null,
 ) {}
diff --git a/lib/src/main/kotlin/com/openai/models/Move.kt b/lib/src/main/kotlin/com/openai/models/Move.kt
new file mode 100644
index 00000000..81dab22d
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/Move.kt
@@ -0,0 +1,47 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * A mouse move action.
+ *
+ * @param type Specifies the event type. For a move action, this property is
+ *   always set to `move`.
+ * @param x The x-coordinate to move to.
+ * @param y The y-coordinate to move to.
+ */
+data class Move(
+
+    /* Specifies the event type. For a move action, this property is  always set to `move`.  */
+    @Json(name = "type") val type: Move.Type = Type.move,
+
+    /* The x-coordinate to move to.  */
+    @Json(name = "x") val x: kotlin.Int,
+
+    /* The y-coordinate to move to.  */
+    @Json(name = "y") val y: kotlin.Int,
+) {
+
+    /**
+     * Specifies the event type. For a move action, this property is always set
+     * to `move`.
+     *
+     * Values: move
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "move") move("move")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/OpenAIFile.kt b/lib/src/main/kotlin/com/openai/models/OpenAIFile.kt
index 682ac07c..da26201f 100644
--- a/lib/src/main/kotlin/com/openai/models/OpenAIFile.kt
+++ b/lib/src/main/kotlin/com/openai/models/OpenAIFile.kt
@@ -28,6 +28,8 @@ import com.squareup.moshi.JsonClass
  *   `fine-tune-results` and `vision`.
  * @param status Deprecated. The current status of the file, which can be either
  *   `uploaded`, `processed`, or `error`.
+ * @param expiresAt The Unix timestamp (in seconds) for when the file will
+ *   expire.
  * @param statusDetails Deprecated. For details on why a fine-tuning training
  *   file failed validation, see the `error` field on `fine_tuning.job`.
  */
@@ -56,6 +58,9 @@ data class OpenAIFile(
     @Deprecated(message = "This property is deprecated.")
     val status: OpenAIFile.Status,
 
+    /* The Unix timestamp (in seconds) for when the file will expire. */
+    @Json(name = "expires_at") val expiresAt: kotlin.Int? = null,
+
     /* Deprecated. For details on why a fine-tuning training file failed validation, see the `error` field on `fine_tuning.job`. */
     @Json(name = "status_details")
     @Deprecated(message = "This property is deprecated.")
diff --git a/lib/src/main/kotlin/com/openai/models/OutputAudio.kt b/lib/src/main/kotlin/com/openai/models/OutputAudio.kt
new file mode 100644
index 00000000..963dc350
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/OutputAudio.kt
@@ -0,0 +1,45 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * An audio output from the model.
+ *
+ * @param type The type of the output audio. Always `output_audio`.
+ * @param `data` Base64-encoded audio data from the model.
+ * @param transcript The transcript of the audio data from the model.
+ */
+data class OutputAudio(
+
+    /* The type of the output audio. Always `output_audio`.  */
+    @Json(name = "type") val type: OutputAudio.Type,
+
+    /* Base64-encoded audio data from the model.  */
+    @Json(name = "data") val `data`: kotlin.String,
+
+    /* The transcript of the audio data from the model.  */
+    @Json(name = "transcript") val transcript: kotlin.String,
+) {
+
+    /**
+     * The type of the output audio. Always `output_audio`.
+     *
+     * Values: output_audio
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "output_audio") output_audio("output_audio")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/OutputContent.kt b/lib/src/main/kotlin/com/openai/models/OutputContent.kt
new file mode 100644
index 00000000..99a78835
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/OutputContent.kt
@@ -0,0 +1,49 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * @param type The type of the output text. Always `output_text`.
+ * @param text The text output from the model.
+ * @param annotations The annotations of the text output.
+ * @param refusal The refusal explanationfrom the model.
+ */
+data class OutputContent(
+
+    /* The type of the output text. Always `output_text`.  */
+    @Json(name = "type") val type: OutputContent.Type,
+
+    /* The text output from the model.  */
+    @Json(name = "text") val text: kotlin.String,
+
+    /* The annotations of the text output.  */
+    @Json(name = "annotations")
+    val annotations: kotlin.collections.List<Annotation>,
+
+    /* The refusal explanationfrom the model.  */
+    @Json(name = "refusal") val refusal: kotlin.String,
+) {
+
+    /**
+     * The type of the output text. Always `output_text`.
+     *
+     * Values: output_text,refusal
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "output_text") output_text("output_text"),
+        @Json(name = "refusal") refusal("refusal"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/OutputItem.kt b/lib/src/main/kotlin/com/openai/models/OutputItem.kt
new file mode 100644
index 00000000..7544191b
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/OutputItem.kt
@@ -0,0 +1,104 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * @param id The unique identifier of the reasoning content.
+ * @param type The type of the output message. Always `message`.
+ * @param role The role of the output message. Always `assistant`.
+ * @param content The content of the output message.
+ * @param status The status of the item. One of `in_progress`, `completed`, or
+ *   `incomplete`. Populated when items are returned via API.
+ * @param queries The queries used to search for files.
+ * @param callId An identifier used when responding to the tool call with
+ *   output.
+ * @param name The name of the function to run.
+ * @param arguments A JSON string of the arguments to pass to the function.
+ * @param action
+ * @param pendingSafetyChecks The pending safety checks for the computer call.
+ * @param summary Reasoning text contents.
+ * @param results The results of the file search tool call.
+ */
+interface OutputItem {
+
+    /* The unique identifier of the reasoning content.  */
+    @Json(name = "id") val id: kotlin.String
+    /* The type of the output message. Always `message`.  */
+    @Json(name = "type") val type: OutputItem.Type
+    /* The role of the output message. Always `assistant`.  */
+    @Json(name = "role") val role: OutputItem.Role
+    /* The content of the output message.  */
+    @Json(name = "content") val content: kotlin.collections.List<OutputContent>
+    /* The status of the item. One of `in_progress`, `completed`, or `incomplete`. Populated when items are returned via API.  */
+    @Json(name = "status") val status: OutputItem.Status
+    /* The queries used to search for files.  */
+    @Json(name = "queries") val queries: kotlin.collections.List<kotlin.String>
+    /* An identifier used when responding to the tool call with output.  */
+    @Json(name = "call_id") val callId: kotlin.String
+    /* The name of the function to run.  */
+    @Json(name = "name") val name: kotlin.String
+    /* A JSON string of the arguments to pass to the function.  */
+    @Json(name = "arguments") val arguments: kotlin.String
+    @Json(name = "action") val action: ComputerAction
+    /* The pending safety checks for the computer call.  */
+    @Json(name = "pending_safety_checks")
+    val pendingSafetyChecks:
+        kotlin.collections.List<ComputerToolCallSafetyCheck>
+    /* Reasoning text contents.  */
+    @Json(name = "summary")
+    val summary: kotlin.collections.List<ReasoningItemSummaryInner>
+    /* The results of the file search tool call.  */
+    @Json(name = "results")
+    val results: kotlin.collections.List<FileSearchToolCallResultsInner>?
+
+    /**
+     * The type of the output message. Always `message`.
+     *
+     * Values:
+     * message,file_search_call,function_call,web_search_call,computer_call,reasoning
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "message") message("message"),
+        @Json(name = "file_search_call") file_search_call("file_search_call"),
+        @Json(name = "function_call") function_call("function_call"),
+        @Json(name = "web_search_call") web_search_call("web_search_call"),
+        @Json(name = "computer_call") computer_call("computer_call"),
+        @Json(name = "reasoning") reasoning("reasoning"),
+    }
+
+    /**
+     * The role of the output message. Always `assistant`.
+     *
+     * Values: assistant
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Role(val value: kotlin.String) {
+        @Json(name = "assistant") assistant("assistant")
+    }
+
+    /**
+     * The status of the item. One of `in_progress`, `completed`, or
+     * `incomplete`. Populated when items are returned via API.
+     *
+     * Values: in_progress,completed,incomplete
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Status(val value: kotlin.String) {
+        @Json(name = "in_progress") in_progress("in_progress"),
+        @Json(name = "completed") completed("completed"),
+        @Json(name = "incomplete") incomplete("incomplete"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/OutputMessage.kt b/lib/src/main/kotlin/com/openai/models/OutputMessage.kt
new file mode 100644
index 00000000..27420e52
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/OutputMessage.kt
@@ -0,0 +1,78 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * An output message from the model.
+ *
+ * @param id The unique ID of the output message.
+ * @param type The type of the output message. Always `message`.
+ * @param role The role of the output message. Always `assistant`.
+ * @param content The content of the output message.
+ * @param status The status of the message input. One of `in_progress`,
+ *   `completed`, or `incomplete`. Populated when input items are returned via
+ *   API.
+ */
+data class OutputMessage(
+
+    /* The unique ID of the output message.  */
+    @Json(name = "id") val id: kotlin.String,
+
+    /* The type of the output message. Always `message`.  */
+    @Json(name = "type") val type: OutputMessage.Type,
+
+    /* The role of the output message. Always `assistant`.  */
+    @Json(name = "role") val role: OutputMessage.Role,
+
+    /* The content of the output message.  */
+    @Json(name = "content") val content: kotlin.collections.List<OutputContent>,
+
+    /* The status of the message input. One of `in_progress`, `completed`, or `incomplete`. Populated when input items are returned via API.  */
+    @Json(name = "status") val status: OutputMessage.Status,
+) {
+
+    /**
+     * The type of the output message. Always `message`.
+     *
+     * Values: message
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "message") message("message")
+    }
+
+    /**
+     * The role of the output message. Always `assistant`.
+     *
+     * Values: assistant
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Role(val value: kotlin.String) {
+        @Json(name = "assistant") assistant("assistant")
+    }
+
+    /**
+     * The status of the message input. One of `in_progress`, `completed`, or
+     * `incomplete`. Populated when input items are returned via API.
+     *
+     * Values: in_progress,completed,incomplete
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Status(val value: kotlin.String) {
+        @Json(name = "in_progress") in_progress("in_progress"),
+        @Json(name = "completed") completed("completed"),
+        @Json(name = "incomplete") incomplete("incomplete"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/OutputText.kt b/lib/src/main/kotlin/com/openai/models/OutputText.kt
new file mode 100644
index 00000000..67f63251
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/OutputText.kt
@@ -0,0 +1,46 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * A text output from the model.
+ *
+ * @param type The type of the output text. Always `output_text`.
+ * @param text The text output from the model.
+ * @param annotations The annotations of the text output.
+ */
+data class OutputText(
+
+    /* The type of the output text. Always `output_text`.  */
+    @Json(name = "type") val type: OutputText.Type,
+
+    /* The text output from the model.  */
+    @Json(name = "text") val text: kotlin.String,
+
+    /* The annotations of the text output.  */
+    @Json(name = "annotations")
+    val annotations: kotlin.collections.List<Annotation>,
+) {
+
+    /**
+     * The type of the output text. Always `output_text`.
+     *
+     * Values: output_text
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "output_text") output_text("output_text")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeClientEvent.kt b/lib/src/main/kotlin/com/openai/models/RealtimeClientEvent.kt
new file mode 100644
index 00000000..2ee5331d
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeClientEvent.kt
@@ -0,0 +1,93 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * A realtime client event.
+ *
+ * @param type The event type, must be `conversation.item.create`.
+ * @param item
+ * @param itemId The ID of the assistant message item to truncate. Only
+ *   assistant message items can be truncated.
+ * @param contentIndex The index of the content part to truncate. Set this to 0.
+ * @param audioEndMs Inclusive duration up to which audio is truncated, in
+ *   milliseconds. If the audio_end_ms is greater than the actual audio
+ *   duration, the server will respond with an error.
+ * @param audio Base64-encoded audio bytes. This must be in the format specified
+ *   by the `input_audio_format` field in the session configuration.
+ * @param session
+ * @param eventId Optional client-generated ID used to identify this event.
+ * @param previousItemId The ID of the preceding item after which the new item
+ *   will be inserted. If not set, the new item will be appended to the end of
+ *   the conversation. If set to `root`, the new item will be added to the
+ *   beginning of the conversation. If set to an existing ID, it allows an item
+ *   to be inserted mid-conversation. If the ID cannot be found, an error will
+ *   be returned and the item will not be added.
+ * @param responseId A specific response ID to cancel - if not provided, will
+ *   cancel an in-progress response in the default conversation.
+ * @param response
+ */
+interface RealtimeClientEvent {
+
+    /* The event type, must be `conversation.item.create`. */
+    @Json(name = "type") val type: RealtimeClientEvent.Type
+    @Json(name = "item") val item: RealtimeConversationItem
+    /* The ID of the assistant message item to truncate. Only assistant message  items can be truncated.  */
+    @Json(name = "item_id") val itemId: kotlin.String
+    /* The index of the content part to truncate. Set this to 0. */
+    @Json(name = "content_index") val contentIndex: kotlin.Int
+    /* Inclusive duration up to which audio is truncated, in milliseconds. If  the audio_end_ms is greater than the actual audio duration, the server  will respond with an error.  */
+    @Json(name = "audio_end_ms") val audioEndMs: kotlin.Int
+    /* Base64-encoded audio bytes. This must be in the format specified by the  `input_audio_format` field in the session configuration.  */
+    @Json(name = "audio") val audio: kotlin.String
+    @Json(name = "session")
+    val session: RealtimeTranscriptionSessionCreateRequest
+    /* Optional client-generated ID used to identify this event. */
+    @Json(name = "event_id") val eventId: kotlin.String?
+    /* The ID of the preceding item after which the new item will be inserted.  If not set, the new item will be appended to the end of the conversation. If set to `root`, the new item will be added to the beginning of the conversation. If set to an existing ID, it allows an item to be inserted mid-conversation. If the ID cannot be found, an error will be returned and the item will not be added.  */
+    @Json(name = "previous_item_id") val previousItemId: kotlin.String?
+    /* A specific response ID to cancel - if not provided, will cancel an  in-progress response in the default conversation.  */
+    @Json(name = "response_id") val responseId: kotlin.String?
+    @Json(name = "response") val response: RealtimeResponseCreateParams?
+
+    /**
+     * The event type, must be `conversation.item.create`.
+     *
+     * Values:
+     * conversationPeriodItemPeriodCreate,conversationPeriodItemPeriodDelete,conversationPeriodItemPeriodRetrieve,conversationPeriodItemPeriodTruncate,input_audio_bufferPeriodAppend,input_audio_bufferPeriodClear,input_audio_bufferPeriodCommit,responsePeriodCancel,responsePeriodCreate,sessionPeriodUpdate,transcription_sessionPeriodUpdate
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "conversation.item.create")
+        conversationPeriodItemPeriodCreate("conversation.item.create"),
+        @Json(name = "conversation.item.delete")
+        conversationPeriodItemPeriodDelete("conversation.item.delete"),
+        @Json(name = "conversation.item.retrieve")
+        conversationPeriodItemPeriodRetrieve("conversation.item.retrieve"),
+        @Json(name = "conversation.item.truncate")
+        conversationPeriodItemPeriodTruncate("conversation.item.truncate"),
+        @Json(name = "input_audio_buffer.append")
+        input_audio_bufferPeriodAppend("input_audio_buffer.append"),
+        @Json(name = "input_audio_buffer.clear")
+        input_audio_bufferPeriodClear("input_audio_buffer.clear"),
+        @Json(name = "input_audio_buffer.commit")
+        input_audio_bufferPeriodCommit("input_audio_buffer.commit"),
+        @Json(name = "response.cancel") responsePeriodCancel("response.cancel"),
+        @Json(name = "response.create") responsePeriodCreate("response.create"),
+        @Json(name = "session.update") sessionPeriodUpdate("session.update"),
+        @Json(name = "transcription_session.update")
+        transcription_sessionPeriodUpdate("transcription_session.update"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeClientEventConversationItemCreate.kt b/lib/src/main/kotlin/com/openai/models/RealtimeClientEventConversationItemCreate.kt
index 15536c0f..19af2f72 100644
--- a/lib/src/main/kotlin/com/openai/models/RealtimeClientEventConversationItemCreate.kt
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeClientEventConversationItemCreate.kt
@@ -36,9 +36,11 @@ data class RealtimeClientEventConversationItemCreate(
 
     /* The event type, must be `conversation.item.create`. */
     @Json(name = "type")
+    // openai-openapi-kotlin changes begin
     val type: RealtimeClientEventConversationItemCreate.Type =
         RealtimeClientEventConversationItemCreate.Type
             .conversationPeriodItemPeriodCreate,
+    // openai-openapi-kotlin changes end
     @Json(name = "item") val item: RealtimeConversationItem,
 
     /* Optional client-generated ID used to identify this event. */
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeClientEventConversationItemDelete.kt b/lib/src/main/kotlin/com/openai/models/RealtimeClientEventConversationItemDelete.kt
index 8bba01e0..f940aa79 100644
--- a/lib/src/main/kotlin/com/openai/models/RealtimeClientEventConversationItemDelete.kt
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeClientEventConversationItemDelete.kt
@@ -28,9 +28,11 @@ data class RealtimeClientEventConversationItemDelete(
 
     /* The event type, must be `conversation.item.delete`. */
     @Json(name = "type")
+    // openai-openapi-kotlin changes begin
     val type: RealtimeClientEventConversationItemDelete.Type =
         RealtimeClientEventConversationItemDelete.Type
             .conversationPeriodItemPeriodDelete,
+    // openai-openapi-kotlin changes end
 
     /* The ID of the item to delete. */
     @Json(name = "item_id") val itemId: kotlin.String,
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeClientEventConversationItemRetrieve.kt b/lib/src/main/kotlin/com/openai/models/RealtimeClientEventConversationItemRetrieve.kt
new file mode 100644
index 00000000..846d83e6
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeClientEventConversationItemRetrieve.kt
@@ -0,0 +1,56 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Send this event when you want to retrieve the server's representation of a
+ * specific item in the conversation history. This is useful, for example, to
+ * inspect user audio after noise cancellation and VAD. The server will respond
+ * with a `conversation.item.retrieved` event, unless the item does not exist in
+ * the conversation history, in which case the server will respond with an
+ * error.
+ *
+ * @param type The event type, must be `conversation.item.retrieve`.
+ * @param itemId The ID of the item to retrieve.
+ * @param eventId Optional client-generated ID used to identify this event.
+ */
+data class RealtimeClientEventConversationItemRetrieve(
+
+    /* The event type, must be `conversation.item.retrieve`. */
+    @Json(name = "type")
+    // openai-openapi-kotlin changes begin
+    val type: RealtimeClientEventConversationItemRetrieve.Type =
+        RealtimeClientEventConversationItemRetrieve.Type
+            .conversationPeriodItemPeriodRetrieve,
+    // openai-openapi-kotlin changes end
+
+    /* The ID of the item to retrieve. */
+    @Json(name = "item_id") val itemId: kotlin.String,
+
+    /* Optional client-generated ID used to identify this event. */
+    @Json(name = "event_id") val eventId: kotlin.String? = null,
+) {
+
+    /**
+     * The event type, must be `conversation.item.retrieve`.
+     *
+     * Values: conversationPeriodItemPeriodRetrieve
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "conversation.item.retrieve")
+        conversationPeriodItemPeriodRetrieve("conversation.item.retrieve")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeClientEventConversationItemTruncate.kt b/lib/src/main/kotlin/com/openai/models/RealtimeClientEventConversationItemTruncate.kt
index 6fc20115..92fae8f6 100644
--- a/lib/src/main/kotlin/com/openai/models/RealtimeClientEventConversationItemTruncate.kt
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeClientEventConversationItemTruncate.kt
@@ -37,9 +37,11 @@ data class RealtimeClientEventConversationItemTruncate(
 
     /* The event type, must be `conversation.item.truncate`. */
     @Json(name = "type")
+    // openai-openapi-kotlin changes begin
     val type: RealtimeClientEventConversationItemTruncate.Type =
         RealtimeClientEventConversationItemTruncate.Type
             .conversationPeriodItemPeriodTruncate,
+    // openai-openapi-kotlin changes end
 
     /* The ID of the assistant message item to truncate. Only assistant message  items can be truncated.  */
     @Json(name = "item_id") val itemId: kotlin.String,
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeClientEventInputAudioBufferAppend.kt b/lib/src/main/kotlin/com/openai/models/RealtimeClientEventInputAudioBufferAppend.kt
index b12cd798..e2b6016a 100644
--- a/lib/src/main/kotlin/com/openai/models/RealtimeClientEventInputAudioBufferAppend.kt
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeClientEventInputAudioBufferAppend.kt
@@ -33,9 +33,11 @@ data class RealtimeClientEventInputAudioBufferAppend(
 
     /* The event type, must be `input_audio_buffer.append`. */
     @Json(name = "type")
+    // openai-openapi-kotlin changes begin
     val type: RealtimeClientEventInputAudioBufferAppend.Type =
         RealtimeClientEventInputAudioBufferAppend.Type
             .input_audio_bufferPeriodAppend,
+    // openai-openapi-kotlin changes end
 
     /* Base64-encoded audio bytes. This must be in the format specified by the  `input_audio_format` field in the session configuration.  */
     @Json(name = "audio") val audio: kotlin.String,
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeClientEventInputAudioBufferClear.kt b/lib/src/main/kotlin/com/openai/models/RealtimeClientEventInputAudioBufferClear.kt
index ae9d903d..46f463c9 100644
--- a/lib/src/main/kotlin/com/openai/models/RealtimeClientEventInputAudioBufferClear.kt
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeClientEventInputAudioBufferClear.kt
@@ -25,9 +25,11 @@ data class RealtimeClientEventInputAudioBufferClear(
 
     /* The event type, must be `input_audio_buffer.clear`. */
     @Json(name = "type")
+    // openai-openapi-kotlin changes begin
     val type: RealtimeClientEventInputAudioBufferClear.Type =
         RealtimeClientEventInputAudioBufferClear.Type
             .input_audio_bufferPeriodClear,
+    // openai-openapi-kotlin changes end
 
     /* Optional client-generated ID used to identify this event. */
     @Json(name = "event_id") val eventId: kotlin.String? = null,
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeClientEventInputAudioBufferCommit.kt b/lib/src/main/kotlin/com/openai/models/RealtimeClientEventInputAudioBufferCommit.kt
index 03b636ba..99244080 100644
--- a/lib/src/main/kotlin/com/openai/models/RealtimeClientEventInputAudioBufferCommit.kt
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeClientEventInputAudioBufferCommit.kt
@@ -31,9 +31,11 @@ data class RealtimeClientEventInputAudioBufferCommit(
 
     /* The event type, must be `input_audio_buffer.commit`. */
     @Json(name = "type")
+    // openai-openapi-kotlin changes begin
     val type: RealtimeClientEventInputAudioBufferCommit.Type =
         RealtimeClientEventInputAudioBufferCommit.Type
             .input_audio_bufferPeriodCommit,
+    // openai-openapi-kotlin changes end
 
     /* Optional client-generated ID used to identify this event. */
     @Json(name = "event_id") val eventId: kotlin.String? = null,
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeClientEventResponseCancel.kt b/lib/src/main/kotlin/com/openai/models/RealtimeClientEventResponseCancel.kt
index cde05096..fa9ca0f5 100644
--- a/lib/src/main/kotlin/com/openai/models/RealtimeClientEventResponseCancel.kt
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeClientEventResponseCancel.kt
@@ -28,8 +28,10 @@ data class RealtimeClientEventResponseCancel(
 
     /* The event type, must be `response.cancel`. */
     @Json(name = "type")
+    // openai-openapi-kotlin changes begin
     val type: RealtimeClientEventResponseCancel.Type =
         RealtimeClientEventResponseCancel.Type.responsePeriodCancel,
+    // openai-openapi-kotlin changes end
 
     /* Optional client-generated ID used to identify this event. */
     @Json(name = "event_id") val eventId: kotlin.String? = null,
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeClientEventResponseCreate.kt b/lib/src/main/kotlin/com/openai/models/RealtimeClientEventResponseCreate.kt
index 2a5d3b4a..c6de1810 100644
--- a/lib/src/main/kotlin/com/openai/models/RealtimeClientEventResponseCreate.kt
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeClientEventResponseCreate.kt
@@ -34,8 +34,10 @@ data class RealtimeClientEventResponseCreate(
 
     /* The event type, must be `response.create`. */
     @Json(name = "type")
+    // openai-openapi-kotlin changes begin
     val type: RealtimeClientEventResponseCreate.Type =
         RealtimeClientEventResponseCreate.Type.responsePeriodCreate,
+    // openai-openapi-kotlin changes end
 
     /* Optional client-generated ID used to identify this event. */
     @Json(name = "event_id") val eventId: kotlin.String? = null,
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeClientEventSessionUpdate.kt b/lib/src/main/kotlin/com/openai/models/RealtimeClientEventSessionUpdate.kt
index f7423a00..bb88f1d3 100644
--- a/lib/src/main/kotlin/com/openai/models/RealtimeClientEventSessionUpdate.kt
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeClientEventSessionUpdate.kt
@@ -16,11 +16,12 @@ import com.squareup.moshi.JsonClass
 
 /**
  * Send this event to update the session’s default configuration. The client may
- * send this event at any time to update the session configuration, and any
- * field may be updated at any time, except for \"voice\". The server will
- * respond with a `session.updated` event that shows the full effective
- * configuration. Only fields that are present are updated, thus the correct way
- * to clear a field like \"instructions\" is to pass an empty string.
+ * send this event at any time to update any field, except for `voice`. However,
+ * note that once a session has been initialized with a particular `model`, it
+ * can’t be changed to another model using `session.update`. When the server
+ * receives a `session.update`, it will respond with a `session.updated` event
+ * showing the full, effective configuration. Only the fields that are present
+ * are updated. To clear a field like `instructions`, pass an empty string.
  *
  * @param type The event type, must be `session.update`.
  * @param session
@@ -30,8 +31,10 @@ data class RealtimeClientEventSessionUpdate(
 
     /* The event type, must be `session.update`. */
     @Json(name = "type")
+    // openai-openapi-kotlin changes begin
     val type: RealtimeClientEventSessionUpdate.Type =
         RealtimeClientEventSessionUpdate.Type.sessionPeriodUpdate,
+    // openai-openapi-kotlin changes end
     @Json(name = "session") val session: RealtimeSessionCreateRequest,
 
     /* Optional client-generated ID used to identify this event. */
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeClientEventTranscriptionSessionUpdate.kt b/lib/src/main/kotlin/com/openai/models/RealtimeClientEventTranscriptionSessionUpdate.kt
new file mode 100644
index 00000000..a944885f
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeClientEventTranscriptionSessionUpdate.kt
@@ -0,0 +1,50 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Send this event to update a transcription session.
+ *
+ * @param type The event type, must be `transcription_session.update`.
+ * @param session
+ * @param eventId Optional client-generated ID used to identify this event.
+ */
+data class RealtimeClientEventTranscriptionSessionUpdate(
+
+    /* The event type, must be `transcription_session.update`. */
+    @Json(name = "type")
+    // openai-openapi-kotlin changes begin
+    val type: RealtimeClientEventTranscriptionSessionUpdate.Type =
+        RealtimeClientEventTranscriptionSessionUpdate.Type
+            .transcription_sessionPeriodUpdate,
+    // openai-openapi-kotlin changes end
+    @Json(name = "session")
+    val session: RealtimeTranscriptionSessionCreateRequest,
+
+    /* Optional client-generated ID used to identify this event. */
+    @Json(name = "event_id") val eventId: kotlin.String? = null,
+) {
+
+    /**
+     * The event type, must be `transcription_session.update`.
+     *
+     * Values: transcription_sessionPeriodUpdate
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "transcription_session.update")
+        transcription_sessionPeriodUpdate("transcription_session.update")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeConversationItem.kt b/lib/src/main/kotlin/com/openai/models/RealtimeConversationItem.kt
index f903912f..22e3b163 100644
--- a/lib/src/main/kotlin/com/openai/models/RealtimeConversationItem.kt
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeConversationItem.kt
@@ -115,7 +115,9 @@ data class RealtimeConversationItem(
     @JsonClass(generateAdapter = false)
     enum class Status(val value: kotlin.String) {
         @Json(name = "completed") completed("completed"),
+        // openai-openapi-kotlin changes begin
         @Json(name = "in_progress") in_progress("in_progress"),
+        // openai-openapi-kotlin changes end
         @Json(name = "incomplete") incomplete("incomplete"),
     }
 
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeConversationItemContentInner.kt b/lib/src/main/kotlin/com/openai/models/RealtimeConversationItemContentInner.kt
index 5bd7e8a7..db1bd7c9 100644
--- a/lib/src/main/kotlin/com/openai/models/RealtimeConversationItemContentInner.kt
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeConversationItemContentInner.kt
@@ -51,7 +51,9 @@ data class RealtimeConversationItemContentInner(
      */
     @JsonClass(generateAdapter = false)
     enum class Type(val value: kotlin.String) {
+        // openai-openapi-kotlin changes begin
         @Json(name = "audio") audio("audio"),
+        // openai-openapi-kotlin changes end
         @Json(name = "input_audio") input_audio("input_audio"),
         @Json(name = "input_text") input_text("input_text"),
         @Json(name = "item_reference") item_reference("item_reference"),
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeResponse.kt b/lib/src/main/kotlin/com/openai/models/RealtimeResponse.kt
index 0bf5f153..4348cc1d 100644
--- a/lib/src/main/kotlin/com/openai/models/RealtimeResponse.kt
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeResponse.kt
@@ -37,8 +37,7 @@ import com.squareup.moshi.JsonClass
  *   will be `null`. If responses are being triggered by server VAD, the
  *   response will be added to the default conversation, thus the
  *   `conversation_id` will be an id like `conv_1234`.
- * @param voice The voice the model used to respond. Current voice options are
- *   `alloy`, `ash`, `ballad`, `coral`, `echo` `sage`, `shimmer` and `verse`.
+ * @param voice
  * @param modalities The set of modalities the model used to respond. If there
  *   are multiple modalities, the model will pick one, for example if
  *   `modalities` is `[\"text\", \"audio\"]`, the model could be responding in
@@ -73,9 +72,7 @@ data class RealtimeResponse(
 
     /* Which conversation the response is added to, determined by the `conversation` field in the `response.create` event. If `auto`, the response will be added to the default conversation and the value of `conversation_id` will be an id like `conv_1234`. If `none`, the response will not be added to any conversation and the value of `conversation_id` will be `null`. If responses are being triggered by server VAD, the response will be added to the default conversation, thus the `conversation_id` will be an id like `conv_1234`.  */
     @Json(name = "conversation_id") val conversationId: kotlin.String? = null,
-
-    /* The voice the model used to respond. Current voice options are `alloy`, `ash`, `ballad`, `coral`, `echo` `sage`,  `shimmer` and `verse`.  */
-    @Json(name = "voice") val voice: RealtimeResponse.Voice? = null,
+    @Json(name = "voice") val voice: VoiceIdsShared? = null,
 
     /* The set of modalities the model used to respond. If there are multiple modalities, the model will pick one, for example if `modalities` is `[\"text\", \"audio\"]`, the model could be responding in either text or audio.  */
     @Json(name = "modalities")
@@ -89,7 +86,7 @@ data class RealtimeResponse(
     /* Sampling temperature for the model, limited to [0.6, 1.2]. Defaults to 0.8.  */
     @Json(name = "temperature") val temperature: java.math.BigDecimal? = null,
     @Json(name = "max_output_tokens")
-    val maxOutputTokens: RealtimeSessionMaxResponseOutputTokens? = null,
+    val maxOutputTokens: RealtimeResponseMaxOutputTokens? = null,
 ) {
 
     /**
@@ -114,28 +111,12 @@ data class RealtimeResponse(
         @Json(name = "completed") completed("completed"),
         @Json(name = "cancelled") cancelled("cancelled"),
         @Json(name = "failed") failed("failed"),
+        // openai-openapi-kotlin changes begin
         @Json(name = "in_progress") in_progress("in_progress"),
+        // openai-openapi-kotlin changes end
         @Json(name = "incomplete") incomplete("incomplete"),
     }
 
-    /**
-     * The voice the model used to respond. Current voice options are `alloy`,
-     * `ash`, `ballad`, `coral`, `echo` `sage`, `shimmer` and `verse`.
-     *
-     * Values: alloy,ash,ballad,coral,echo,sage,shimmer,verse
-     */
-    @JsonClass(generateAdapter = false)
-    enum class Voice(val value: kotlin.String) {
-        @Json(name = "alloy") alloy("alloy"),
-        @Json(name = "ash") ash("ash"),
-        @Json(name = "ballad") ballad("ballad"),
-        @Json(name = "coral") coral("coral"),
-        @Json(name = "echo") echo("echo"),
-        @Json(name = "sage") sage("sage"),
-        @Json(name = "shimmer") shimmer("shimmer"),
-        @Json(name = "verse") verse("verse"),
-    }
-
     /**
      * The set of modalities the model used to respond. If there are multiple
      * modalities, the model will pick one, for example if `modalities` is
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeResponseCreateParams.kt b/lib/src/main/kotlin/com/openai/models/RealtimeResponseCreateParams.kt
index dfa48e97..510f1e70 100644
--- a/lib/src/main/kotlin/com/openai/models/RealtimeResponseCreateParams.kt
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeResponseCreateParams.kt
@@ -29,10 +29,7 @@ import com.squareup.moshi.JsonClass
  *   to the model on the desired behavior. Note that the server sets default
  *   instructions which will be used if this field is not set and are visible in
  *   the `session.created` event at the start of the session.
- * @param voice The voice the model uses to respond. Voice cannot be changed
- *   during the session once the model has responded with audio at least once.
- *   Current voice options are `alloy`, `ash`, `ballad`, `coral`, `echo` `sage`,
- *   `shimmer` and `verse`.
+ * @param voice
  * @param outputAudioFormat The format of output audio. Options are `pcm16`,
  *   `g711_ulaw`, or `g711_alaw`.
  * @param tools Tools (functions) available to the model.
@@ -64,9 +61,7 @@ data class RealtimeResponseCreateParams(
 
     /* The default system instructions (i.e. system message) prepended to model  calls. This field allows the client to guide the model on desired  responses. The model can be instructed on response content and format,  (e.g. \"be extremely succinct\", \"act friendly\", \"here are examples of good  responses\") and on audio behavior (e.g. \"talk quickly\", \"inject emotion  into your voice\", \"laugh frequently\"). The instructions are not guaranteed  to be followed by the model, but they provide guidance to the model on the  desired behavior.  Note that the server sets default instructions which will be used if this  field is not set and are visible in the `session.created` event at the  start of the session.  */
     @Json(name = "instructions") val instructions: kotlin.String? = null,
-
-    /* The voice the model uses to respond. Voice cannot be changed during the  session once the model has responded with audio at least once. Current  voice options are `alloy`, `ash`, `ballad`, `coral`, `echo` `sage`,  `shimmer` and `verse`.  */
-    @Json(name = "voice") val voice: RealtimeResponseCreateParams.Voice? = null,
+    @Json(name = "voice") val voice: VoiceIdsShared? = null,
 
     /* The format of output audio. Options are `pcm16`, `g711_ulaw`, or `g711_alaw`.  */
     @Json(name = "output_audio_format")
@@ -85,7 +80,9 @@ data class RealtimeResponseCreateParams(
     /* Sampling temperature for the model, limited to [0.6, 1.2]. Defaults to 0.8.  */
     @Json(name = "temperature") val temperature: java.math.BigDecimal? = null,
     @Json(name = "max_response_output_tokens")
-    val maxResponseOutputTokens: RealtimeSessionMaxResponseOutputTokens? = null,
+    val maxResponseOutputTokens:
+        RealtimeResponseCreateParamsMaxResponseOutputTokens? =
+        null,
     @Json(name = "conversation")
     val conversation: RealtimeResponseCreateParamsConversation? = null,
 
@@ -111,26 +108,6 @@ data class RealtimeResponseCreateParams(
         @Json(name = "audio") audio("audio"),
     }
 
-    /**
-     * The voice the model uses to respond. Voice cannot be changed during the
-     * session once the model has responded with audio at least once. Current
-     * voice options are `alloy`, `ash`, `ballad`, `coral`, `echo` `sage`,
-     * `shimmer` and `verse`.
-     *
-     * Values: alloy,ash,ballad,coral,echo,sage,shimmer,verse
-     */
-    @JsonClass(generateAdapter = false)
-    enum class Voice(val value: kotlin.String) {
-        @Json(name = "alloy") alloy("alloy"),
-        @Json(name = "ash") ash("ash"),
-        @Json(name = "ballad") ballad("ballad"),
-        @Json(name = "coral") coral("coral"),
-        @Json(name = "echo") echo("echo"),
-        @Json(name = "sage") sage("sage"),
-        @Json(name = "shimmer") shimmer("shimmer"),
-        @Json(name = "verse") verse("verse"),
-    }
-
     /**
      * The format of output audio. Options are `pcm16`, `g711_ulaw`, or
      * `g711_alaw`.
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeResponseCreateParamsConversation.kt b/lib/src/main/kotlin/com/openai/models/RealtimeResponseCreateParamsConversation.kt
index be747460..0b0ee589 100644
--- a/lib/src/main/kotlin/com/openai/models/RealtimeResponseCreateParamsConversation.kt
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeResponseCreateParamsConversation.kt
@@ -20,7 +20,9 @@ import com.squareup.moshi.Json
  * Set this to `none` to create an out-of-band response which will not add items
  * to default conversation.
  */
+// openai-openapi-kotlin changes begin
 enum class RealtimeResponseCreateParamsConversation(val value: kotlin.String) {
     @Json(name = "auto") auto("auto"),
     @Json(name = "none") none("none"),
 }
+// openai-openapi-kotlin changes end
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeResponseCreateParamsMaxResponseOutputTokens.kt b/lib/src/main/kotlin/com/openai/models/RealtimeResponseCreateParamsMaxResponseOutputTokens.kt
new file mode 100644
index 00000000..1e275a49
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeResponseCreateParamsMaxResponseOutputTokens.kt
@@ -0,0 +1,22 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+/**
+ * Maximum number of output tokens for a single assistant response, inclusive of
+ * tool calls. Provide an integer between 1 and 4096 to limit output tokens, or
+ * `inf` for the maximum available tokens for a given model. Defaults to `inf`.
+ */
+// openai-openapi-kotlin changes begin
+typealias RealtimeResponseCreateParamsMaxResponseOutputTokens =
+    RealtimeSessionMaxResponseOutputTokens
+// openai-openapi-kotlin changes end
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeResponseMaxOutputTokens.kt b/lib/src/main/kotlin/com/openai/models/RealtimeResponseMaxOutputTokens.kt
new file mode 100644
index 00000000..fc14e6ec
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeResponseMaxOutputTokens.kt
@@ -0,0 +1,21 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+/**
+ * Maximum number of output tokens for a single assistant response, inclusive of
+ * tool calls, that was used in this response.
+ */
+// openai-openapi-kotlin changes begin
+typealias RealtimeResponseMaxOutputTokens =
+    RealtimeSessionMaxResponseOutputTokens
+// openai-openapi-kotlin changes end
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeServerEvent.kt b/lib/src/main/kotlin/com/openai/models/RealtimeServerEvent.kt
new file mode 100644
index 00000000..f69fd95d
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeServerEvent.kt
@@ -0,0 +1,184 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * A realtime server event.
+ *
+ * @param eventId The unique ID of the server event.
+ * @param type The event type, must be `conversation.created`.
+ * @param conversation
+ * @param previousItemId The ID of the preceding item after which the new item
+ *   will be inserted.
+ * @param item
+ * @param itemId The ID of the item.
+ * @param contentIndex The index of the content part in the item's content
+ *   array.
+ * @param transcript The final transcript of the audio.
+ * @param delta The text delta.
+ * @param error
+ * @param audioEndMs Milliseconds since the session started when speech stopped.
+ *   This will correspond to the end of audio sent to the model, and thus
+ *   includes the `min_silence_duration_ms` configured in the Session.
+ * @param audioStartMs Milliseconds from the start of all audio written to the
+ *   buffer during the session when speech was first detected. This will
+ *   correspond to the beginning of audio sent to the model, and thus includes
+ *   the `prefix_padding_ms` configured in the Session.
+ * @param rateLimits List of rate limit information.
+ * @param responseId The ID of the response.
+ * @param outputIndex The index of the output item in the response.
+ * @param part
+ * @param response
+ * @param callId The ID of the function call.
+ * @param arguments The final arguments as a JSON string.
+ * @param text The final text content.
+ * @param session
+ * @param logprobs The log probabilities of the transcription.
+ */
+interface RealtimeServerEvent {
+
+    /* The unique ID of the server event. */
+    @Json(name = "event_id") val eventId: kotlin.String
+    /* The event type, must be `conversation.created`. */
+    @Json(name = "type") val type: RealtimeServerEvent.Type
+    @Json(name = "conversation")
+    val conversation: RealtimeServerEventConversationCreatedConversation
+    /* The ID of the preceding item after which the new item will be inserted.  */
+    @Json(name = "previous_item_id") val previousItemId: kotlin.String
+    @Json(name = "item") val item: RealtimeConversationItem
+    /* The ID of the item. */
+    @Json(name = "item_id") val itemId: kotlin.String
+    /* The index of the content part in the item's content array. */
+    @Json(name = "content_index") val contentIndex: kotlin.Int
+    /* The final transcript of the audio. */
+    @Json(name = "transcript") val transcript: kotlin.String
+    /* The text delta. */
+    @Json(name = "delta") val delta: kotlin.String
+    @Json(name = "error") val error: RealtimeServerEventErrorError
+    /* Milliseconds since the session started when speech stopped. This will  correspond to the end of audio sent to the model, and thus includes the  `min_silence_duration_ms` configured in the Session.  */
+    @Json(name = "audio_end_ms") val audioEndMs: kotlin.Int
+    /* Milliseconds from the start of all audio written to the buffer during the  session when speech was first detected. This will correspond to the  beginning of audio sent to the model, and thus includes the  `prefix_padding_ms` configured in the Session.  */
+    @Json(name = "audio_start_ms") val audioStartMs: kotlin.Int
+    /* List of rate limit information. */
+    @Json(name = "rate_limits")
+    val rateLimits:
+        kotlin.collections.List<
+            RealtimeServerEventRateLimitsUpdatedRateLimitsInner
+        >
+    /* The ID of the response. */
+    @Json(name = "response_id") val responseId: kotlin.String
+    /* The index of the output item in the response. */
+    @Json(name = "output_index") val outputIndex: kotlin.Int
+    @Json(name = "part")
+    val part: RealtimeServerEventResponseContentPartDonePart
+    @Json(name = "response") val response: RealtimeResponse
+    /* The ID of the function call. */
+    @Json(name = "call_id") val callId: kotlin.String
+    /* The final arguments as a JSON string. */
+    @Json(name = "arguments") val arguments: kotlin.String
+    /* The final text content. */
+    @Json(name = "text") val text: kotlin.String
+    @Json(name = "session")
+    val session: RealtimeTranscriptionSessionCreateResponse
+    /* The log probabilities of the transcription. */
+    @Json(name = "logprobs")
+    val logprobs: kotlin.collections.List<LogProbProperties>?
+
+    /**
+     * The event type, must be `conversation.created`.
+     *
+     * Values:
+     * conversationPeriodCreated,conversationPeriodItemPeriodCreated,conversationPeriodItemPeriodDeleted,conversationPeriodItemPeriodInput_audio_transcriptionPeriodCompleted,conversationPeriodItemPeriodInput_audio_transcriptionPeriodDelta,conversationPeriodItemPeriodInput_audio_transcriptionPeriodFailed,conversationPeriodItemPeriodRetrieved,conversationPeriodItemPeriodTruncated,error,input_audio_bufferPeriodCleared,input_audio_bufferPeriodCommitted,input_audio_bufferPeriodSpeech_started,input_audio_bufferPeriodSpeech_stopped,rate_limitsPeriodUpdated,responsePeriodAudioPeriodDelta,responsePeriodAudioPeriodDone,responsePeriodAudio_transcriptPeriodDelta,responsePeriodAudio_transcriptPeriodDone,responsePeriodContent_partPeriodAdded,responsePeriodContent_partPeriodDone,responsePeriodCreated,responsePeriodDone,responsePeriodFunction_call_argumentsPeriodDelta,responsePeriodFunction_call_argumentsPeriodDone,responsePeriodOutput_itemPeriodAdded,responsePeriodOutput_itemPeriodDone,responsePeriodTextPeriodDelta,responsePeriodTextPeriodDone,sessionPeriodCreated,sessionPeriodUpdated,transcription_sessionPeriodUpdated
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "conversation.created")
+        conversationPeriodCreated("conversation.created"),
+        @Json(name = "conversation.item.created")
+        conversationPeriodItemPeriodCreated("conversation.item.created"),
+        @Json(name = "conversation.item.deleted")
+        conversationPeriodItemPeriodDeleted("conversation.item.deleted"),
+        @Json(name = "conversation.item.input_audio_transcription.completed")
+        conversationPeriodItemPeriodInput_audio_transcriptionPeriodCompleted(
+            "conversation.item.input_audio_transcription.completed"
+        ),
+        @Json(name = "conversation.item.input_audio_transcription.delta")
+        conversationPeriodItemPeriodInput_audio_transcriptionPeriodDelta(
+            "conversation.item.input_audio_transcription.delta"
+        ),
+        @Json(name = "conversation.item.input_audio_transcription.failed")
+        conversationPeriodItemPeriodInput_audio_transcriptionPeriodFailed(
+            "conversation.item.input_audio_transcription.failed"
+        ),
+        @Json(name = "conversation.item.retrieved")
+        conversationPeriodItemPeriodRetrieved("conversation.item.retrieved"),
+        @Json(name = "conversation.item.truncated")
+        conversationPeriodItemPeriodTruncated("conversation.item.truncated"),
+        @Json(name = "error") error("error"),
+        @Json(name = "input_audio_buffer.cleared")
+        input_audio_bufferPeriodCleared("input_audio_buffer.cleared"),
+        @Json(name = "input_audio_buffer.committed")
+        input_audio_bufferPeriodCommitted("input_audio_buffer.committed"),
+        @Json(name = "input_audio_buffer.speech_started")
+        input_audio_bufferPeriodSpeech_started(
+            "input_audio_buffer.speech_started"
+        ),
+        @Json(name = "input_audio_buffer.speech_stopped")
+        input_audio_bufferPeriodSpeech_stopped(
+            "input_audio_buffer.speech_stopped"
+        ),
+        @Json(name = "rate_limits.updated")
+        rate_limitsPeriodUpdated("rate_limits.updated"),
+        @Json(name = "response.audio.delta")
+        responsePeriodAudioPeriodDelta("response.audio.delta"),
+        @Json(name = "response.audio.done")
+        responsePeriodAudioPeriodDone("response.audio.done"),
+        @Json(name = "response.audio_transcript.delta")
+        responsePeriodAudio_transcriptPeriodDelta(
+            "response.audio_transcript.delta"
+        ),
+        @Json(name = "response.audio_transcript.done")
+        responsePeriodAudio_transcriptPeriodDone(
+            "response.audio_transcript.done"
+        ),
+        @Json(name = "response.content_part.added")
+        responsePeriodContent_partPeriodAdded("response.content_part.added"),
+        @Json(name = "response.content_part.done")
+        responsePeriodContent_partPeriodDone("response.content_part.done"),
+        @Json(name = "response.created")
+        responsePeriodCreated("response.created"),
+        @Json(name = "response.done") responsePeriodDone("response.done"),
+        @Json(name = "response.function_call_arguments.delta")
+        responsePeriodFunction_call_argumentsPeriodDelta(
+            "response.function_call_arguments.delta"
+        ),
+        @Json(name = "response.function_call_arguments.done")
+        responsePeriodFunction_call_argumentsPeriodDone(
+            "response.function_call_arguments.done"
+        ),
+        @Json(name = "response.output_item.added")
+        responsePeriodOutput_itemPeriodAdded("response.output_item.added"),
+        @Json(name = "response.output_item.done")
+        responsePeriodOutput_itemPeriodDone("response.output_item.done"),
+        @Json(name = "response.text.delta")
+        responsePeriodTextPeriodDelta("response.text.delta"),
+        @Json(name = "response.text.done")
+        responsePeriodTextPeriodDone("response.text.done"),
+        @Json(name = "session.created") sessionPeriodCreated("session.created"),
+        @Json(name = "session.updated") sessionPeriodUpdated("session.updated"),
+        @Json(name = "transcription_session.updated")
+        transcription_sessionPeriodUpdated("transcription_session.updated"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeServerEventConversationItemCreated.kt b/lib/src/main/kotlin/com/openai/models/RealtimeServerEventConversationItemCreated.kt
index 1ec14d7e..7f695440 100644
--- a/lib/src/main/kotlin/com/openai/models/RealtimeServerEventConversationItemCreated.kt
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeServerEventConversationItemCreated.kt
@@ -40,7 +40,9 @@ data class RealtimeServerEventConversationItemCreated(
     val type: RealtimeServerEventConversationItemCreated.Type,
 
     /* The ID of the preceding item in the Conversation context, allows the  client to understand the order of the conversation.  */
+    // openai-openapi-kotlin changes begin
     @Json(name = "previous_item_id") val previousItemId: kotlin.String? = null,
+    // openai-openapi-kotlin changes end
     @Json(name = "item") val item: RealtimeConversationItem,
 ) {
 
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeServerEventConversationItemInputAudioTranscriptionCompleted.kt b/lib/src/main/kotlin/com/openai/models/RealtimeServerEventConversationItemInputAudioTranscriptionCompleted.kt
index e1e151eb..359140bc 100644
--- a/lib/src/main/kotlin/com/openai/models/RealtimeServerEventConversationItemInputAudioTranscriptionCompleted.kt
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeServerEventConversationItemInputAudioTranscriptionCompleted.kt
@@ -31,6 +31,7 @@ import com.squareup.moshi.JsonClass
  * @param itemId The ID of the user message item containing the audio.
  * @param contentIndex The index of the content part containing the audio.
  * @param transcript The transcribed text.
+ * @param logprobs The log probabilities of the transcription.
  */
 data class RealtimeServerEventConversationItemInputAudioTranscriptionCompleted(
 
@@ -50,6 +51,10 @@ data class RealtimeServerEventConversationItemInputAudioTranscriptionCompleted(
 
     /* The transcribed text. */
     @Json(name = "transcript") val transcript: kotlin.String,
+
+    /* The log probabilities of the transcription. */
+    @Json(name = "logprobs")
+    val logprobs: kotlin.collections.List<LogProbProperties>? = null,
 ) {
 
     /**
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeServerEventConversationItemInputAudioTranscriptionDelta.kt b/lib/src/main/kotlin/com/openai/models/RealtimeServerEventConversationItemInputAudioTranscriptionDelta.kt
new file mode 100644
index 00000000..0cccf21e
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeServerEventConversationItemInputAudioTranscriptionDelta.kt
@@ -0,0 +1,67 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Returned when the text value of an input audio transcription content part is
+ * updated.
+ *
+ * @param eventId The unique ID of the server event.
+ * @param type The event type, must be
+ *   `conversation.item.input_audio_transcription.delta`.
+ * @param itemId The ID of the item.
+ * @param contentIndex The index of the content part in the item's content
+ *   array.
+ * @param delta The text delta.
+ * @param logprobs The log probabilities of the transcription.
+ */
+data class RealtimeServerEventConversationItemInputAudioTranscriptionDelta(
+
+    /* The unique ID of the server event. */
+    @Json(name = "event_id") val eventId: kotlin.String,
+
+    /* The event type, must be `conversation.item.input_audio_transcription.delta`. */
+    @Json(name = "type")
+    val type:
+        RealtimeServerEventConversationItemInputAudioTranscriptionDelta.Type,
+
+    /* The ID of the item. */
+    @Json(name = "item_id") val itemId: kotlin.String,
+
+    /* The index of the content part in the item's content array. */
+    @Json(name = "content_index") val contentIndex: kotlin.Int? = null,
+
+    /* The text delta. */
+    @Json(name = "delta") val delta: kotlin.String? = null,
+
+    /* The log probabilities of the transcription. */
+    @Json(name = "logprobs")
+    val logprobs: kotlin.collections.List<LogProbProperties>? = null,
+) {
+
+    /**
+     * The event type, must be
+     * `conversation.item.input_audio_transcription.delta`.
+     *
+     * Values: conversationPeriodItemPeriodInput_audio_transcriptionPeriodDelta
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "conversation.item.input_audio_transcription.delta")
+        conversationPeriodItemPeriodInput_audio_transcriptionPeriodDelta(
+            "conversation.item.input_audio_transcription.delta"
+        )
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeServerEventConversationItemRetrieved.kt b/lib/src/main/kotlin/com/openai/models/RealtimeServerEventConversationItemRetrieved.kt
new file mode 100644
index 00000000..4b8660da
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeServerEventConversationItemRetrieved.kt
@@ -0,0 +1,46 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Returned when a conversation item is retrieved with
+ * `conversation.item.retrieve`.
+ *
+ * @param eventId The unique ID of the server event.
+ * @param type The event type, must be `conversation.item.retrieved`.
+ * @param item
+ */
+data class RealtimeServerEventConversationItemRetrieved(
+
+    /* The unique ID of the server event. */
+    @Json(name = "event_id") val eventId: kotlin.String,
+
+    /* The event type, must be `conversation.item.retrieved`. */
+    @Json(name = "type")
+    val type: RealtimeServerEventConversationItemRetrieved.Type,
+    @Json(name = "item") val item: RealtimeConversationItem,
+) {
+
+    /**
+     * The event type, must be `conversation.item.retrieved`.
+     *
+     * Values: conversationPeriodItemPeriodRetrieved
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "conversation.item.retrieved")
+        conversationPeriodItemPeriodRetrieved("conversation.item.retrieved")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeServerEventInputAudioBufferCommitted.kt b/lib/src/main/kotlin/com/openai/models/RealtimeServerEventInputAudioBufferCommitted.kt
index 1cec9135..228a7b93 100644
--- a/lib/src/main/kotlin/com/openai/models/RealtimeServerEventInputAudioBufferCommitted.kt
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeServerEventInputAudioBufferCommitted.kt
@@ -36,7 +36,9 @@ data class RealtimeServerEventInputAudioBufferCommitted(
     val type: RealtimeServerEventInputAudioBufferCommitted.Type,
 
     /* The ID of the preceding item after which the new item will be inserted.  */
+    // openai-openapi-kotlin changes begin
     @Json(name = "previous_item_id") val previousItemId: kotlin.String? = null,
+    // openai-openapi-kotlin changes end
 
     /* The ID of the user message item that will be created. */
     @Json(name = "item_id") val itemId: kotlin.String,
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeServerEventTranscriptionSessionUpdated.kt b/lib/src/main/kotlin/com/openai/models/RealtimeServerEventTranscriptionSessionUpdated.kt
new file mode 100644
index 00000000..ab536437
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeServerEventTranscriptionSessionUpdated.kt
@@ -0,0 +1,47 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Returned when a transcription session is updated with a
+ * `transcription_session.update` event, unless there is an error.
+ *
+ * @param eventId The unique ID of the server event.
+ * @param type The event type, must be `transcription_session.updated`.
+ * @param session
+ */
+data class RealtimeServerEventTranscriptionSessionUpdated(
+
+    /* The unique ID of the server event. */
+    @Json(name = "event_id") val eventId: kotlin.String,
+
+    /* The event type, must be `transcription_session.updated`. */
+    @Json(name = "type")
+    val type: RealtimeServerEventTranscriptionSessionUpdated.Type,
+    @Json(name = "session")
+    val session: RealtimeTranscriptionSessionCreateResponse,
+) {
+
+    /**
+     * The event type, must be `transcription_session.updated`.
+     *
+     * Values: transcription_sessionPeriodUpdated
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "transcription_session.updated")
+        transcription_sessionPeriodUpdated("transcription_session.updated")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeSession.kt b/lib/src/main/kotlin/com/openai/models/RealtimeSession.kt
index 65b72c46..cd1f0332 100644
--- a/lib/src/main/kotlin/com/openai/models/RealtimeSession.kt
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeSession.kt
@@ -17,10 +17,11 @@ import com.squareup.moshi.JsonClass
 /**
  * Realtime session object configuration.
  *
- * @param id Unique identifier for the session object.
+ * @param id Unique identifier for the session that looks like
+ *   `sess_1234567890abcdef`.
  * @param modalities The set of modalities the model can respond with. To
  *   disable audio, set this to [\"text\"].
- * @param model
+ * @param model The Realtime model used for this session.
  * @param instructions The default system instructions (i.e. system message)
  *   prepended to model calls. This field allows the client to guide the model
  *   on desired responses. The model can be instructed on response content and
@@ -31,10 +32,7 @@ import com.squareup.moshi.JsonClass
  *   to the model on the desired behavior. Note that the server sets default
  *   instructions which will be used if this field is not set and are visible in
  *   the `session.created` event at the start of the session.
- * @param voice The voice the model uses to respond. Voice cannot be changed
- *   during the session once the model has responded with audio at least once.
- *   Current voice options are `alloy`, `ash`, `ballad`, `coral`, `echo` `sage`,
- *   `shimmer` and `verse`.
+ * @param voice
  * @param inputAudioFormat The format of input audio. Options are `pcm16`,
  *   `g711_ulaw`, or `g711_alaw`. For `pcm16`, input audio must be 16-bit PCM at
  *   a 24kHz sample rate, single channel (mono), and little-endian byte order.
@@ -43,16 +41,18 @@ import com.squareup.moshi.JsonClass
  *   of 24kHz.
  * @param inputAudioTranscription
  * @param turnDetection
+ * @param inputAudioNoiseReduction
  * @param tools Tools (functions) available to the model.
  * @param toolChoice How the model chooses tools. Options are `auto`, `none`,
  *   `required`, or specify a function.
  * @param temperature Sampling temperature for the model, limited to [0.6, 1.2].
- *   Defaults to 0.8.
+ *   For audio models a temperature of 0.8 is highly recommended for best
+ *   performance.
  * @param maxResponseOutputTokens
  */
 data class RealtimeSession(
 
-    /* Unique identifier for the session object.  */
+    /* Unique identifier for the session that looks like `sess_1234567890abcdef`.  */
     @Json(name = "id") val id: kotlin.String? = null,
 
     /* The set of modalities the model can respond with. To disable audio, set this to [\"text\"].  */
@@ -60,25 +60,28 @@ data class RealtimeSession(
     val modalities: kotlin.collections.List<RealtimeSession.Modalities>? = null,
 
     /* The Realtime model used for this session.  */
-    @Json(name = "model") val model: kotlin.String? = null,
+    @Json(name = "model") val model: RealtimeSession.Model? = null,
 
-    /* The default system instructions (i.e. system message) prepended to model  calls. This field allows the client to guide the model on desired  responses. The model can be instructed on response content and format,  (e.g. \"be extremely succinct\", \"act friendly\", \"here are examples of good  responses\") and on audio behavior (e.g. \"talk quickly\", \"inject emotion  into your voice\", \"laugh frequently\"). The instructions are not guaranteed  to be followed by the model, but they provide guidance to the model on the  desired behavior.  Note that the server sets default instructions which will be used if this  field is not set and are visible in the `session.created` event at the  start of the session.  */
+    /* The default system instructions (i.e. system message) prepended to model  calls. This field allows the client to guide the model on desired  responses. The model can be instructed on response content and format,  (e.g. \"be extremely succinct\", \"act friendly\", \"here are examples of good  responses\") and on audio behavior (e.g. \"talk quickly\", \"inject emotion  into your voice\", \"laugh frequently\"). The instructions are not guaranteed  to be followed by the model, but they provide guidance to the model on the desired behavior.  Note that the server sets default instructions which will be used if this  field is not set and are visible in the `session.created` event at the  start of the session.  */
     @Json(name = "instructions") val instructions: kotlin.String? = null,
-
-    /* The voice the model uses to respond. Voice cannot be changed during the  session once the model has responded with audio at least once. Current  voice options are `alloy`, `ash`, `ballad`, `coral`, `echo` `sage`,  `shimmer` and `verse`.  */
-    @Json(name = "voice") val voice: RealtimeSession.Voice? = null,
+    @Json(name = "voice") val voice: VoiceIdsShared? = null,
 
     /* The format of input audio. Options are `pcm16`, `g711_ulaw`, or `g711_alaw`. For `pcm16`, input audio must be 16-bit PCM at a 24kHz sample rate,  single channel (mono), and little-endian byte order.  */
     @Json(name = "input_audio_format")
-    val inputAudioFormat: RealtimeSession.InputAudioFormat? = null,
+    val inputAudioFormat: RealtimeSession.InputAudioFormat? =
+        InputAudioFormat.pcm16,
 
     /* The format of output audio. Options are `pcm16`, `g711_ulaw`, or `g711_alaw`. For `pcm16`, output audio is sampled at a rate of 24kHz.  */
     @Json(name = "output_audio_format")
-    val outputAudioFormat: RealtimeSession.OutputAudioFormat? = null,
+    val outputAudioFormat: RealtimeSession.OutputAudioFormat? =
+        OutputAudioFormat.pcm16,
     @Json(name = "input_audio_transcription")
     val inputAudioTranscription: RealtimeSessionInputAudioTranscription? = null,
     @Json(name = "turn_detection")
     val turnDetection: RealtimeSessionTurnDetection? = null,
+    @Json(name = "input_audio_noise_reduction")
+    val inputAudioNoiseReduction: RealtimeSessionInputAudioNoiseReduction? =
+        null,
 
     /* Tools (functions) available to the model. */
     @Json(name = "tools")
@@ -87,12 +90,15 @@ data class RealtimeSession(
         null,
 
     /* How the model chooses tools. Options are `auto`, `none`, `required`, or  specify a function.  */
-    @Json(name = "tool_choice") val toolChoice: kotlin.String? = null,
+    @Json(name = "tool_choice") val toolChoice: kotlin.String? = "auto",
 
-    /* Sampling temperature for the model, limited to [0.6, 1.2]. Defaults to 0.8.  */
-    @Json(name = "temperature") val temperature: java.math.BigDecimal? = null,
+    /* Sampling temperature for the model, limited to [0.6, 1.2]. For audio models a temperature of 0.8 is highly recommended for best performance.  */
+    @Json(name = "temperature")
+    val temperature: java.math.BigDecimal? = java.math.BigDecimal("0.8"),
     @Json(name = "max_response_output_tokens")
-    val maxResponseOutputTokens: RealtimeSessionMaxResponseOutputTokens? = null,
+    val maxResponseOutputTokens:
+        RealtimeResponseCreateParamsMaxResponseOutputTokens? =
+        null,
 ) {
 
     /**
@@ -107,24 +113,22 @@ data class RealtimeSession(
         @Json(name = "audio") audio("audio"),
     }
 
+    // openai-openapi-kotlin changes begin
     /**
-     * The voice the model uses to respond. Voice cannot be changed during the
-     * session once the model has responded with audio at least once. Current
-     * voice options are `alloy`, `ash`, `ballad`, `coral`, `echo` `sage`,
-     * `shimmer` and `verse`.
+     * The Realtime model used for this session.
      *
-     * Values: alloy,ash,ballad,coral,echo,sage,shimmer,verse
+     * Values:
+     * `gpt-4o-realtime-preview`,`gpt-4o-realtime-preview-2024-10-01`,`gpt-4o-realtime-preview-2024-12-17`,
+     * `gpt-4o-mini-realtime-preview`,`gpt-4o-mini-realtime-preview-2024-12-17`
      */
     @JsonClass(generateAdapter = false)
-    enum class Voice(val value: kotlin.String) {
-        @Json(name = "alloy") alloy("alloy"),
-        @Json(name = "ash") ash("ash"),
-        @Json(name = "ballad") ballad("ballad"),
-        @Json(name = "coral") coral("coral"),
-        @Json(name = "echo") echo("echo"),
-        @Json(name = "sage") sage("sage"),
-        @Json(name = "shimmer") shimmer("shimmer"),
-        @Json(name = "verse") verse("verse"),
+    enum class Model {
+        `gpt-4o-realtime-preview`,
+        `gpt-4o-realtime-preview-2024-10-01`,
+        `gpt-4o-realtime-preview-2024-12-17`,
+        `gpt-4o-mini-realtime-preview`,
+        `gpt-4o-mini-realtime-preview-2024-12-17`,
+        // openai-openapi-kotlin changes end
     }
 
     /**
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeSessionCreateRequest.kt b/lib/src/main/kotlin/com/openai/models/RealtimeSessionCreateRequest.kt
index 524c4811..349df786 100644
--- a/lib/src/main/kotlin/com/openai/models/RealtimeSessionCreateRequest.kt
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeSessionCreateRequest.kt
@@ -31,10 +31,7 @@ import com.squareup.moshi.JsonClass
  *   to the model on the desired behavior. Note that the server sets default
  *   instructions which will be used if this field is not set and are visible in
  *   the `session.created` event at the start of the session.
- * @param voice The voice the model uses to respond. Voice cannot be changed
- *   during the session once the model has responded with audio at least once.
- *   Current voice options are `alloy`, `ash`, `ballad`, `coral`, `echo` `sage`,
- *   `shimmer` and `verse`.
+ * @param voice
  * @param inputAudioFormat The format of input audio. Options are `pcm16`,
  *   `g711_ulaw`, or `g711_alaw`. For `pcm16`, input audio must be 16-bit PCM at
  *   a 24kHz sample rate, single channel (mono), and little-endian byte order.
@@ -43,11 +40,13 @@ import com.squareup.moshi.JsonClass
  *   of 24kHz.
  * @param inputAudioTranscription
  * @param turnDetection
+ * @param inputAudioNoiseReduction
  * @param tools Tools (functions) available to the model.
  * @param toolChoice How the model chooses tools. Options are `auto`, `none`,
  *   `required`, or specify a function.
  * @param temperature Sampling temperature for the model, limited to [0.6, 1.2].
- *   Defaults to 0.8.
+ *   For audio models a temperature of 0.8 is highly recommended for best
+ *   performance.
  * @param maxResponseOutputTokens
  */
 data class RealtimeSessionCreateRequest(
@@ -59,30 +58,39 @@ data class RealtimeSessionCreateRequest(
         null,
 
     /* The Realtime model used for this session.  */
-    @Json(name = "model") val model: RealtimeSessionCreateRequest.Model? = null,
+    // openai-openapi-kotlin changes begin
+    @Json(name = "model") val model: RealtimeSession.Model? = null,
+    // openai-openapi-kotlin changes end
 
-    /* The default system instructions (i.e. system message) prepended to model  calls. This field allows the client to guide the model on desired  responses. The model can be instructed on response content and format,  (e.g. \"be extremely succinct\", \"act friendly\", \"here are examples of good  responses\") and on audio behavior (e.g. \"talk quickly\", \"inject emotion  into your voice\", \"laugh frequently\"). The instructions are not guaranteed  to be followed by the model, but they provide guidance to the model on the  desired behavior.  Note that the server sets default instructions which will be used if this  field is not set and are visible in the `session.created` event at the  start of the session.  */
+    /* The default system instructions (i.e. system message) prepended to model  calls. This field allows the client to guide the model on desired  responses. The model can be instructed on response content and format,  (e.g. \"be extremely succinct\", \"act friendly\", \"here are examples of good  responses\") and on audio behavior (e.g. \"talk quickly\", \"inject emotion  into your voice\", \"laugh frequently\"). The instructions are not guaranteed  to be followed by the model, but they provide guidance to the model on the desired behavior.  Note that the server sets default instructions which will be used if this  field is not set and are visible in the `session.created` event at the  start of the session.  */
     @Json(name = "instructions") val instructions: kotlin.String? = null,
-
-    /* The voice the model uses to respond. Voice cannot be changed during the  session once the model has responded with audio at least once. Current  voice options are `alloy`, `ash`, `ballad`, `coral`, `echo` `sage`,  `shimmer` and `verse`.  */
-    @Json(name = "voice") val voice: RealtimeSessionCreateRequest.Voice? = null,
+    @Json(name = "voice") val voice: VoiceIdsShared? = null,
 
     /* The format of input audio. Options are `pcm16`, `g711_ulaw`, or `g711_alaw`. For `pcm16`, input audio must be 16-bit PCM at a 24kHz sample rate,  single channel (mono), and little-endian byte order.  */
     @Json(name = "input_audio_format")
-    val inputAudioFormat: RealtimeSessionCreateRequest.InputAudioFormat? = null,
+    val inputAudioFormat: RealtimeSessionCreateRequest.InputAudioFormat? =
+        InputAudioFormat.pcm16,
 
     /* The format of output audio. Options are `pcm16`, `g711_ulaw`, or `g711_alaw`. For `pcm16`, output audio is sampled at a rate of 24kHz.  */
     @Json(name = "output_audio_format")
     val outputAudioFormat: RealtimeSessionCreateRequest.OutputAudioFormat? =
-        null,
+        OutputAudioFormat.pcm16,
+    // openai-openapi-kotlin changes begin
     @SerializeNull
+    // openai-openapi-kotlin changes end
     @Json(name = "input_audio_transcription")
-    val inputAudioTranscription:
-        RealtimeSessionCreateRequestInputAudioTranscription? =
-        null,
+    val inputAudioTranscription: RealtimeSessionInputAudioTranscription? = null,
+    // openai-openapi-kotlin changes begin
     @SerializeNull
+    // openai-openapi-kotlin changes end
     @Json(name = "turn_detection")
-    val turnDetection: RealtimeSessionCreateRequestTurnDetection? = null,
+    val turnDetection: RealtimeSessionTurnDetection? = null,
+    // openai-openapi-kotlin changes begin
+    @SerializeNull
+    // openai-openapi-kotlin changes end
+    @Json(name = "input_audio_noise_reduction")
+    val inputAudioNoiseReduction: RealtimeSessionInputAudioNoiseReduction? =
+        null,
 
     /* Tools (functions) available to the model. */
     @Json(name = "tools")
@@ -91,12 +99,15 @@ data class RealtimeSessionCreateRequest(
         null,
 
     /* How the model chooses tools. Options are `auto`, `none`, `required`, or  specify a function.  */
-    @Json(name = "tool_choice") val toolChoice: kotlin.String? = null,
+    @Json(name = "tool_choice") val toolChoice: kotlin.String? = "auto",
 
-    /* Sampling temperature for the model, limited to [0.6, 1.2]. Defaults to 0.8.  */
-    @Json(name = "temperature") val temperature: java.math.BigDecimal? = null,
+    /* Sampling temperature for the model, limited to [0.6, 1.2]. For audio models a temperature of 0.8 is highly recommended for best performance.  */
+    @Json(name = "temperature")
+    val temperature: java.math.BigDecimal? = java.math.BigDecimal("0.8"),
     @Json(name = "max_response_output_tokens")
-    val maxResponseOutputTokens: RealtimeSessionMaxResponseOutputTokens? = null,
+    val maxResponseOutputTokens:
+        RealtimeResponseCreateParamsMaxResponseOutputTokens? =
+        null,
 ) {
 
     /**
@@ -111,43 +122,9 @@ data class RealtimeSessionCreateRequest(
         @Json(name = "audio") audio("audio"),
     }
 
-    /**
-     * The Realtime model used for this session.
-     *
-     * https://platform.openai.com/docs/models#gpt-4o-realtime
-     *
-     * Values: gpt-4o-realtime-preview, gpt-4o-realtime-preview-2024-10-01,
-     * gpt-4o-realtime-preview-2024-12-17, gpt-4o-mini-realtime-preview,
-     * gpt-4o-mini-realtime-preview-2024-12-17
-     */
-    @JsonClass(generateAdapter = false)
-    enum class Model {
-        `gpt-4o-realtime-preview`,
-        `gpt-4o-realtime-preview-2024-10-01`,
-        `gpt-4o-realtime-preview-2024-12-17`,
-        `gpt-4o-mini-realtime-preview`,
-        `gpt-4o-mini-realtime-preview-2024-12-17`,
-    }
-
-    /**
-     * The voice the model uses to respond. Voice cannot be changed during the
-     * session once the model has responded with audio at least once. Current
-     * voice options are `alloy`, `ash`, `ballad`, `coral`, `echo` `sage`,
-     * `shimmer` and `verse`.
-     *
-     * Values: alloy,ash,ballad,coral,echo,sage,shimmer,verse
-     */
-    @JsonClass(generateAdapter = false)
-    enum class Voice(val value: kotlin.String) {
-        @Json(name = "alloy") alloy("alloy"),
-        @Json(name = "ash") ash("ash"),
-        @Json(name = "ballad") ballad("ballad"),
-        @Json(name = "coral") coral("coral"),
-        @Json(name = "echo") echo("echo"),
-        @Json(name = "sage") sage("sage"),
-        @Json(name = "shimmer") shimmer("shimmer"),
-        @Json(name = "verse") verse("verse"),
-    }
+    // openai-openapi-kotlin changes begin
+    // `enum class Model` moved to RealtimeSession.Model
+    // openai-openapi-kotlin changes end
 
     /**
      * The format of input audio. Options are `pcm16`, `g711_ulaw`, or
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeSessionCreateRequestTurnDetection.kt b/lib/src/main/kotlin/com/openai/models/RealtimeSessionCreateRequestTurnDetection.kt
deleted file mode 100644
index d1ba9741..00000000
--- a/lib/src/main/kotlin/com/openai/models/RealtimeSessionCreateRequestTurnDetection.kt
+++ /dev/null
@@ -1,63 +0,0 @@
-/**
- * Please note: This class is auto generated by OpenAPI Generator
- * (https://openapi-generator.tech). Do not edit this file manually.
- */
-@file:Suppress(
-    "ArrayInDataClass",
-    "EnumEntryName",
-    "RemoveRedundantQualifierName",
-    "UnusedImport",
-)
-
-package com.openai.models
-
-import com.squareup.moshi.Json
-import com.squareup.moshi.JsonClass
-
-/**
- * Configuration for turn detection. Can be set to `null` to turn off. Server
- * VAD means that the model will detect the start and end of speech based on
- * audio volume and respond at the end of user speech.
- *
- * @param type Type of turn detection, only `server_vad` is currently supported.
- * @param threshold Activation threshold for VAD (0.0 to 1.0), this defaults to
- *   0.5. A higher threshold will require louder audio to activate the model,
- *   and thus might perform better in noisy environments.
- * @param prefixPaddingMs Amount of audio to include before the VAD detected
- *   speech (in milliseconds). Defaults to 300ms.
- * @param silenceDurationMs Duration of silence to detect speech stop (in
- *   milliseconds). Defaults to 500ms. With shorter values the model will
- *   respond more quickly, but may jump in on short pauses from the user.
- * @param createResponse Whether or not to automatically generate a response
- *   when VAD is enabled. `true` by default.
- */
-data class RealtimeSessionCreateRequestTurnDetection(
-
-    /* Type of turn detection, only `server_vad` is currently supported.  */
-    @Json(name = "type")
-    val type: RealtimeSessionCreateRequestTurnDetection.Type? = null,
-
-    /* Activation threshold for VAD (0.0 to 1.0), this defaults to 0.5. A  higher threshold will require louder audio to activate the model, and  thus might perform better in noisy environments.  */
-    @Json(name = "threshold") val threshold: java.math.BigDecimal? = null,
-
-    /* Amount of audio to include before the VAD detected speech (in  milliseconds). Defaults to 300ms.  */
-    @Json(name = "prefix_padding_ms") val prefixPaddingMs: kotlin.Int? = null,
-
-    /* Duration of silence to detect speech stop (in milliseconds). Defaults  to 500ms. With shorter values the model will respond more quickly,  but may jump in on short pauses from the user.  */
-    @Json(name = "silence_duration_ms")
-    val silenceDurationMs: kotlin.Int? = null,
-
-    /* Whether or not to automatically generate a response when VAD is enabled. `true` by default.  */
-    @Json(name = "create_response") val createResponse: kotlin.Boolean? = true,
-) {
-
-    /**
-     * Type of turn detection, only `server_vad` is currently supported.
-     *
-     * Values: server_vad
-     */
-    @JsonClass(generateAdapter = false)
-    enum class Type(val value: kotlin.String) {
-        @Json(name = "server_vad") server_vad("server_vad")
-    }
-}
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeSessionCreateResponse.kt b/lib/src/main/kotlin/com/openai/models/RealtimeSessionCreateResponse.kt
index cbe292a8..36dc04f3 100644
--- a/lib/src/main/kotlin/com/openai/models/RealtimeSessionCreateResponse.kt
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeSessionCreateResponse.kt
@@ -31,10 +31,7 @@ import com.squareup.moshi.JsonClass
  *   to the model on the desired behavior. Note that the server sets default
  *   instructions which will be used if this field is not set and are visible in
  *   the `session.created` event at the start of the session.
- * @param voice The voice the model uses to respond. Voice cannot be changed
- *   during the session once the model has responded with audio at least once.
- *   Current voice options are `alloy`, `ash`, `ballad`, `coral`, `echo` `sage`,
- *   `shimmer` and `verse`.
+ * @param voice
  * @param inputAudioFormat The format of input audio. Options are `pcm16`,
  *   `g711_ulaw`, or `g711_alaw`.
  * @param outputAudioFormat The format of output audio. Options are `pcm16`,
@@ -60,10 +57,7 @@ data class RealtimeSessionCreateResponse(
 
     /* The default system instructions (i.e. system message) prepended to model  calls. This field allows the client to guide the model on desired  responses. The model can be instructed on response content and format,  (e.g. \"be extremely succinct\", \"act friendly\", \"here are examples of good  responses\") and on audio behavior (e.g. \"talk quickly\", \"inject emotion  into your voice\", \"laugh frequently\"). The instructions are not guaranteed  to be followed by the model, but they provide guidance to the model on the  desired behavior.  Note that the server sets default instructions which will be used if this  field is not set and are visible in the `session.created` event at the  start of the session.  */
     @Json(name = "instructions") val instructions: kotlin.String? = null,
-
-    /* The voice the model uses to respond. Voice cannot be changed during the  session once the model has responded with audio at least once. Current  voice options are `alloy`, `ash`, `ballad`, `coral`, `echo` `sage`,  `shimmer` and `verse`.  */
-    @Json(name = "voice")
-    val voice: RealtimeSessionCreateResponse.Voice? = null,
+    @Json(name = "voice") val voice: VoiceIdsShared? = null,
 
     /* The format of input audio. Options are `pcm16`, `g711_ulaw`, or `g711_alaw`.  */
     @Json(name = "input_audio_format")
@@ -73,7 +67,9 @@ data class RealtimeSessionCreateResponse(
     @Json(name = "output_audio_format")
     val outputAudioFormat: kotlin.String? = null,
     @Json(name = "input_audio_transcription")
-    val inputAudioTranscription: RealtimeSessionInputAudioTranscription? = null,
+    val inputAudioTranscription:
+        RealtimeSessionCreateResponseInputAudioTranscription? =
+        null,
     @Json(name = "turn_detection")
     val turnDetection: RealtimeSessionCreateResponseTurnDetection? = null,
 
@@ -89,7 +85,9 @@ data class RealtimeSessionCreateResponse(
     /* Sampling temperature for the model, limited to [0.6, 1.2]. Defaults to 0.8.  */
     @Json(name = "temperature") val temperature: java.math.BigDecimal? = null,
     @Json(name = "max_response_output_tokens")
-    val maxResponseOutputTokens: RealtimeSessionMaxResponseOutputTokens? = null,
+    val maxResponseOutputTokens:
+        RealtimeResponseCreateParamsMaxResponseOutputTokens? =
+        null,
 ) {
 
     /**
@@ -103,24 +101,4 @@ data class RealtimeSessionCreateResponse(
         @Json(name = "text") text("text"),
         @Json(name = "audio") audio("audio"),
     }
-
-    /**
-     * The voice the model uses to respond. Voice cannot be changed during the
-     * session once the model has responded with audio at least once. Current
-     * voice options are `alloy`, `ash`, `ballad`, `coral`, `echo` `sage`,
-     * `shimmer` and `verse`.
-     *
-     * Values: alloy,ash,ballad,coral,echo,sage,shimmer,verse
-     */
-    @JsonClass(generateAdapter = false)
-    enum class Voice(val value: kotlin.String) {
-        @Json(name = "alloy") alloy("alloy"),
-        @Json(name = "ash") ash("ash"),
-        @Json(name = "ballad") ballad("ballad"),
-        @Json(name = "coral") coral("coral"),
-        @Json(name = "echo") echo("echo"),
-        @Json(name = "sage") sage("sage"),
-        @Json(name = "shimmer") shimmer("shimmer"),
-        @Json(name = "verse") verse("verse"),
-    }
 }
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeSessionCreateResponseInputAudioTranscription.kt b/lib/src/main/kotlin/com/openai/models/RealtimeSessionCreateResponseInputAudioTranscription.kt
new file mode 100644
index 00000000..2de965cf
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeSessionCreateResponseInputAudioTranscription.kt
@@ -0,0 +1,30 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+
+/**
+ * Configuration for input audio transcription, defaults to off and can be set
+ * to `null` to turn off once on. Input audio transcription is not native to the
+ * model, since the model consumes audio directly. Transcription runs
+ * asynchronously through Whisper and should be treated as rough guidance rather
+ * than the representation understood by the model.
+ *
+ * @param model The model to use for transcription, `whisper-1` is the only
+ *   currently supported model.
+ */
+data class RealtimeSessionCreateResponseInputAudioTranscription(
+
+    /* The model to use for transcription, `whisper-1` is the only currently  supported model.  */
+    @Json(name = "model") val model: kotlin.String? = null
+) {}
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeSessionInputAudioNoiseReduction.kt b/lib/src/main/kotlin/com/openai/models/RealtimeSessionInputAudioNoiseReduction.kt
new file mode 100644
index 00000000..c581650f
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeSessionInputAudioNoiseReduction.kt
@@ -0,0 +1,47 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Configuration for input audio noise reduction. This can be set to `null` to
+ * turn off. Noise reduction filters audio added to the input audio buffer
+ * before it is sent to VAD and the model. Filtering the audio can improve VAD
+ * and turn detection accuracy (reducing false positives) and model performance
+ * by improving perception of the input audio.
+ *
+ * @param type Type of noise reduction. `near_field` is for close-talking
+ *   microphones such as headphones, `far_field` is for far-field microphones
+ *   such as laptop or conference room microphones.
+ */
+data class RealtimeSessionInputAudioNoiseReduction(
+
+    /* Type of noise reduction. `near_field` is for close-talking microphones such as headphones, `far_field` is for far-field microphones such as laptop or conference room microphones.  */
+    @Json(name = "type")
+    val type: RealtimeSessionInputAudioNoiseReduction.Type? = null
+) {
+
+    /**
+     * Type of noise reduction. `near_field` is for close-talking microphones
+     * such as headphones, `far_field` is for far-field microphones such as
+     * laptop or conference room microphones.
+     *
+     * Values: near_field,far_field
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "near_field") near_field("near_field"),
+        @Json(name = "far_field") far_field("far_field"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeSessionInputAudioTranscription.kt b/lib/src/main/kotlin/com/openai/models/RealtimeSessionInputAudioTranscription.kt
index f8410c16..5d71d31a 100644
--- a/lib/src/main/kotlin/com/openai/models/RealtimeSessionInputAudioTranscription.kt
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeSessionInputAudioTranscription.kt
@@ -12,19 +12,60 @@
 package com.openai.models
 
 import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
 
 /**
  * Configuration for input audio transcription, defaults to off and can be set
  * to `null` to turn off once on. Input audio transcription is not native to the
  * model, since the model consumes audio directly. Transcription runs
- * asynchronously through Whisper and should be treated as rough guidance rather
- * than the representation understood by the model.
+ * asynchronously through
+ * [the /audio/transcriptions endpoint](https://platform.openai.com/docs/api-reference/audio/createTranscription)
+ * and should be treated as guidance of input audio content rather than
+ * precisely what the model heard. The client can optionally set the language
+ * and prompt for transcription, these offer additional guidance to the
+ * transcription service.
  *
- * @param model The model to use for transcription, `whisper-1` is the only
- *   currently supported model.
+ * @param model The model to use for transcription, current options are
+ *   `gpt-4o-transcribe`, `gpt-4o-mini-transcribe`, and `whisper-1`.
+ * @param language The language of the input audio. Supplying the input language
+ *   in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g.
+ *   `en`) format will improve accuracy and latency.
+ * @param prompt An optional text to guide the model's style or continue a
+ *   previous audio segment. For `whisper-1`, the
+ *   [prompt is a list of keywords](/docs/guides/speech-to-text#prompting). For
+ *   `gpt-4o-transcribe` models, the prompt is a free text string, for example
+ *   \"expect words related to technology\".
  */
 data class RealtimeSessionInputAudioTranscription(
 
-    /* The model to use for transcription, `whisper-1` is the only currently  supported model.  */
-    @Json(name = "model") val model: kotlin.String? = null
-) {}
+    /* The model to use for transcription, current options are `gpt-4o-transcribe`, `gpt-4o-mini-transcribe`, and `whisper-1`.  */
+    @Json(name = "model")
+    // openai-openapi-kotlin changes begin
+    val model: RealtimeSessionInputAudioTranscription.Model? = null,
+    // openai-openapi-kotlin changes end
+
+    /* The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g. `en`) format will improve accuracy and latency.  */
+    @Json(name = "language") val language: kotlin.String? = null,
+
+    /* An optional text to guide the model's style or continue a previous audio segment. For `whisper-1`, the [prompt is a list of keywords](/docs/guides/speech-to-text#prompting). For `gpt-4o-transcribe` models, the prompt is a free text string, for example \"expect words related to technology\".  */
+    @Json(name = "prompt") val prompt: kotlin.String? = null,
+) {
+    // openai-openapi-kotlin changes begin
+    /**
+     * The model to use for transcription, current options are
+     * `gpt-4o-transcribe`, `gpt-4o-mini-transcribe`, and `whisper-1`. The model
+     * to use for transcription, current options are `gpt-4o-transcribe`,
+     * `gpt-4o-mini-transcribe`, and `whisper-1`.
+     *
+     * Values: gpt_4o_transcribe,gpt_4o_mini_transcribe,whisper_1
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Model(val value: kotlin.String) {
+        @Json(name = "gpt-4o-transcribe")
+        gptDash4oDashTranscribe("gpt-4o-transcribe"),
+        @Json(name = "gpt-4o-mini-transcribe")
+        gptDash4oDashMiniDashTranscribe("gpt-4o-mini-transcribe"),
+        @Json(name = "whisper-1") whisperDash1("whisper-1"),
+    }
+    // openai-openapi-kotlin changes end
+}
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeSessionMaxResponseOutputTokens.kt b/lib/src/main/kotlin/com/openai/models/RealtimeSessionMaxResponseOutputTokens.kt
index ce0dc3fc..1e25abbb 100644
--- a/lib/src/main/kotlin/com/openai/models/RealtimeSessionMaxResponseOutputTokens.kt
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeSessionMaxResponseOutputTokens.kt
@@ -1,3 +1,4 @@
+// openai-openapi-kotlin changes begin
 /**
  * Please note: This class is auto generated by OpenAPI Generator
  * (https://openapi-generator.tech). Do not edit this file manually.
@@ -13,6 +14,7 @@ package com.openai.models
 
 import com.squareup.moshi.FromJson
 import com.squareup.moshi.JsonAdapter
+import com.squareup.moshi.JsonClass
 import com.squareup.moshi.JsonDataException
 import com.squareup.moshi.JsonReader
 import com.squareup.moshi.JsonWriter
@@ -30,6 +32,7 @@ import com.squareup.moshi.ToJson
  * * RealtimeSessionCreateRequest
  * * RealtimeSessionCreateResponse
  */
+@JsonClass(generateAdapter = true, generator = "sealed:type")
 open class RealtimeSessionMaxResponseOutputTokens {
     data class Numeric(val value: Int) :
         RealtimeSessionMaxResponseOutputTokens()
@@ -90,3 +93,4 @@ class RealtimeSessionMaxResponseOutputTokensAdapter :
         }
     }
 }
+// openai-openapi-kotlin changes end
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeSessionTurnDetection.kt b/lib/src/main/kotlin/com/openai/models/RealtimeSessionTurnDetection.kt
index 2e8cdabd..cfc9de9e 100644
--- a/lib/src/main/kotlin/com/openai/models/RealtimeSessionTurnDetection.kt
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeSessionTurnDetection.kt
@@ -15,43 +15,91 @@ import com.squareup.moshi.Json
 import com.squareup.moshi.JsonClass
 
 /**
- * Configuration for turn detection. Can be set to `null` to turn off. Server
- * VAD means that the model will detect the start and end of speech based on
- * audio volume and respond at the end of user speech.
+ * Configuration for turn detection, ether Server VAD or Semantic VAD. This can
+ * be set to `null` to turn off, in which case the client must manually trigger
+ * model response. Server VAD means that the model will detect the start and end
+ * of speech based on audio volume and respond at the end of user speech.
+ * Semantic VAD is more advanced and uses a turn detection model (in conjuction
+ * with VAD) to semantically estimate whether the user has finished speaking,
+ * then dynamically sets a timeout based on this probability. For example, if
+ * user audio trails off with \"uhhm\", the model will score a low probability
+ * of turn end and wait longer for the user to continue speaking. This can be
+ * useful for more natural conversations, but may have a higher latency.
  *
- * @param type Type of turn detection, only `server_vad` is currently supported.
- * @param threshold Activation threshold for VAD (0.0 to 1.0), this defaults to
- *   0.5. A higher threshold will require louder audio to activate the model,
- *   and thus might perform better in noisy environments.
- * @param prefixPaddingMs Amount of audio to include before the VAD detected
- *   speech (in milliseconds). Defaults to 300ms.
- * @param silenceDurationMs Duration of silence to detect speech stop (in
- *   milliseconds). Defaults to 500ms. With shorter values the model will
- *   respond more quickly, but may jump in on short pauses from the user.
+ * @param type Type of turn detection.
+ * @param eagerness Used only for `semantic_vad` mode. The eagerness of the
+ *   model to respond. `low` will wait longer for the user to continue speaking,
+ *   `high` will respond more quickly. `auto` is the default and is equivalent
+ *   to `medium`.
+ * @param threshold Used only for `server_vad` mode. Activation threshold for
+ *   VAD (0.0 to 1.0), this defaults to 0.5. A higher threshold will require
+ *   louder audio to activate the model, and thus might perform better in noisy
+ *   environments.
+ * @param prefixPaddingMs Used only for `server_vad` mode. Amount of audio to
+ *   include before the VAD detected speech (in milliseconds). Defaults to
+ *   300ms.
+ * @param silenceDurationMs Used only for `server_vad` mode. Duration of silence
+ *   to detect speech stop (in milliseconds). Defaults to 500ms. With shorter
+ *   values the model will respond more quickly, but may jump in on short pauses
+ *   from the user.
+ * @param createResponse Whether or not to automatically generate a response
+ *   when a VAD stop event occurs.
+ * @param interruptResponse Whether or not to automatically interrupt any
+ *   ongoing response with output to the default conversation (i.e.
+ *   `conversation` of `auto`) when a VAD start event occurs.
  */
 data class RealtimeSessionTurnDetection(
 
-    /* Type of turn detection, only `server_vad` is currently supported.  */
-    @Json(name = "type") val type: RealtimeSessionTurnDetection.Type? = null,
+    /* Type of turn detection.  */
+    @Json(name = "type")
+    val type: RealtimeSessionTurnDetection.Type? = Type.server_vad,
 
-    /* Activation threshold for VAD (0.0 to 1.0), this defaults to 0.5. A  higher threshold will require louder audio to activate the model, and  thus might perform better in noisy environments.  */
+    /* Used only for `semantic_vad` mode. The eagerness of the model to respond. `low` will wait longer for the user to continue speaking, `high` will respond more quickly. `auto` is the default and is equivalent to `medium`.  */
+    @Json(name = "eagerness")
+    val eagerness: RealtimeSessionTurnDetection.Eagerness? = Eagerness.auto,
+
+    /* Used only for `server_vad` mode. Activation threshold for VAD (0.0 to 1.0), this defaults to 0.5. A  higher threshold will require louder audio to activate the model, and  thus might perform better in noisy environments.  */
     @Json(name = "threshold") val threshold: java.math.BigDecimal? = null,
 
-    /* Amount of audio to include before the VAD detected speech (in  milliseconds). Defaults to 300ms.  */
+    /* Used only for `server_vad` mode. Amount of audio to include before the VAD detected speech (in  milliseconds). Defaults to 300ms.  */
     @Json(name = "prefix_padding_ms") val prefixPaddingMs: kotlin.Int? = null,
 
-    /* Duration of silence to detect speech stop (in milliseconds). Defaults  to 500ms. With shorter values the model will respond more quickly,  but may jump in on short pauses from the user.  */
+    /* Used only for `server_vad` mode. Duration of silence to detect speech stop (in milliseconds). Defaults  to 500ms. With shorter values the model will respond more quickly,  but may jump in on short pauses from the user.  */
     @Json(name = "silence_duration_ms")
     val silenceDurationMs: kotlin.Int? = null,
+
+    /* Whether or not to automatically generate a response when a VAD stop event occurs.  */
+    @Json(name = "create_response") val createResponse: kotlin.Boolean? = true,
+
+    /* Whether or not to automatically interrupt any ongoing response with output to the default conversation (i.e. `conversation` of `auto`) when a VAD start event occurs.  */
+    @Json(name = "interrupt_response")
+    val interruptResponse: kotlin.Boolean? = true,
 ) {
 
     /**
-     * Type of turn detection, only `server_vad` is currently supported.
+     * Type of turn detection.
      *
-     * Values: server_vad
+     * Values: server_vad,semantic_vad
      */
     @JsonClass(generateAdapter = false)
     enum class Type(val value: kotlin.String) {
-        @Json(name = "server_vad") server_vad("server_vad")
+        @Json(name = "server_vad") server_vad("server_vad"),
+        @Json(name = "semantic_vad") semantic_vad("semantic_vad"),
+    }
+
+    /**
+     * Used only for `semantic_vad` mode. The eagerness of the model to respond.
+     * `low` will wait longer for the user to continue speaking, `high` will
+     * respond more quickly. `auto` is the default and is equivalent to
+     * `medium`.
+     *
+     * Values: low,medium,high,auto
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Eagerness(val value: kotlin.String) {
+        @Json(name = "low") low("low"),
+        @Json(name = "medium") medium("medium"),
+        @Json(name = "high") high("high"),
+        @Json(name = "auto") auto("auto"),
     }
 }
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateRequest.kt b/lib/src/main/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateRequest.kt
new file mode 100644
index 00000000..d9667122
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateRequest.kt
@@ -0,0 +1,87 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Realtime transcription session object configuration.
+ *
+ * @param modalities The set of modalities the model can respond with. To
+ *   disable audio, set this to [\"text\"].
+ * @param inputAudioFormat The format of input audio. Options are `pcm16`,
+ *   `g711_ulaw`, or `g711_alaw`. For `pcm16`, input audio must be 16-bit PCM at
+ *   a 24kHz sample rate, single channel (mono), and little-endian byte order.
+ * @param inputAudioTranscription
+ * @param turnDetection
+ * @param inputAudioNoiseReduction
+ * @param include The set of items to include in the transcription. Current
+ *   available items are: - `item.input_audio_transcription.logprobs`
+ */
+data class RealtimeTranscriptionSessionCreateRequest(
+
+    /* The set of modalities the model can respond with. To disable audio, set this to [\"text\"].  */
+    @Json(name = "modalities")
+    val modalities:
+        kotlin.collections.List<
+            RealtimeTranscriptionSessionCreateRequest.Modalities
+        >? =
+        null,
+
+    /* The format of input audio. Options are `pcm16`, `g711_ulaw`, or `g711_alaw`. For `pcm16`, input audio must be 16-bit PCM at a 24kHz sample rate,  single channel (mono), and little-endian byte order.  */
+    @Json(name = "input_audio_format")
+    val inputAudioFormat:
+        RealtimeTranscriptionSessionCreateRequest.InputAudioFormat? =
+        InputAudioFormat.pcm16,
+    @Json(name = "input_audio_transcription")
+    val inputAudioTranscription:
+        RealtimeTranscriptionSessionCreateRequestInputAudioTranscription? =
+        null,
+    @Json(name = "turn_detection")
+    val turnDetection: RealtimeTranscriptionSessionCreateRequestTurnDetection? =
+        null,
+    @Json(name = "input_audio_noise_reduction")
+    val inputAudioNoiseReduction: RealtimeSessionInputAudioNoiseReduction? =
+        null,
+
+    /* The set of items to include in the transcription. Current available items are: - `item.input_audio_transcription.logprobs`  */
+    @Json(name = "include")
+    val include: kotlin.collections.List<kotlin.String>? = null,
+) {
+
+    /**
+     * The set of modalities the model can respond with. To disable audio, set
+     * this to [\"text\"].
+     *
+     * Values: text,audio
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Modalities(val value: kotlin.String) {
+        @Json(name = "text") text("text"),
+        @Json(name = "audio") audio("audio"),
+    }
+
+    /**
+     * The format of input audio. Options are `pcm16`, `g711_ulaw`, or
+     * `g711_alaw`. For `pcm16`, input audio must be 16-bit PCM at a 24kHz
+     * sample rate, single channel (mono), and little-endian byte order.
+     *
+     * Values: pcm16,g711_ulaw,g711_alaw
+     */
+    @JsonClass(generateAdapter = false)
+    enum class InputAudioFormat(val value: kotlin.String) {
+        @Json(name = "pcm16") pcm16("pcm16"),
+        @Json(name = "g711_ulaw") g711_ulaw("g711_ulaw"),
+        @Json(name = "g711_alaw") g711_alaw("g711_alaw"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateRequestInputAudioTranscription.kt b/lib/src/main/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateRequestInputAudioTranscription.kt
new file mode 100644
index 00000000..2bdc2f25
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateRequestInputAudioTranscription.kt
@@ -0,0 +1,63 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Configuration for input audio transcription. The client can optionally set
+ * the language and prompt for transcription, these offer additional guidance to
+ * the transcription service.
+ *
+ * @param model The model to use for transcription, current options are
+ *   `gpt-4o-transcribe`, `gpt-4o-mini-transcribe`, and `whisper-1`.
+ * @param language The language of the input audio. Supplying the input language
+ *   in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g.
+ *   `en`) format will improve accuracy and latency.
+ * @param prompt An optional text to guide the model's style or continue a
+ *   previous audio segment. For `whisper-1`, the
+ *   [prompt is a list of keywords](/docs/guides/speech-to-text#prompting). For
+ *   `gpt-4o-transcribe` models, the prompt is a free text string, for example
+ *   \"expect words related to technology\".
+ */
+data class RealtimeTranscriptionSessionCreateRequestInputAudioTranscription(
+
+    /* The model to use for transcription, current options are `gpt-4o-transcribe`, `gpt-4o-mini-transcribe`, and `whisper-1`.  */
+    @Json(name = "model")
+    val model:
+        RealtimeTranscriptionSessionCreateRequestInputAudioTranscription.Model? =
+        null,
+
+    /* The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g. `en`) format will improve accuracy and latency.  */
+    @Json(name = "language") val language: kotlin.String? = null,
+
+    /* An optional text to guide the model's style or continue a previous audio segment. For `whisper-1`, the [prompt is a list of keywords](/docs/guides/speech-to-text#prompting). For `gpt-4o-transcribe` models, the prompt is a free text string, for example \"expect words related to technology\".  */
+    @Json(name = "prompt") val prompt: kotlin.String? = null,
+) {
+
+    /**
+     * The model to use for transcription, current options are
+     * `gpt-4o-transcribe`, `gpt-4o-mini-transcribe`, and `whisper-1`.
+     *
+     * Values:
+     * gptMinus4oMinusTranscribe,gptMinus4oMinusMiniMinusTranscribe,whisperMinus1
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Model(val value: kotlin.String) {
+        @Json(name = "gpt-4o-transcribe")
+        gptMinus4oMinusTranscribe("gpt-4o-transcribe"),
+        @Json(name = "gpt-4o-mini-transcribe")
+        gptMinus4oMinusMiniMinusTranscribe("gpt-4o-mini-transcribe"),
+        @Json(name = "whisper-1") whisperMinus1("whisper-1"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateRequestTurnDetection.kt b/lib/src/main/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateRequestTurnDetection.kt
new file mode 100644
index 00000000..55e413dd
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateRequestTurnDetection.kt
@@ -0,0 +1,109 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Configuration for turn detection, ether Server VAD or Semantic VAD. This can
+ * be set to `null` to turn off, in which case the client must manually trigger
+ * model response. Server VAD means that the model will detect the start and end
+ * of speech based on audio volume and respond at the end of user speech.
+ * Semantic VAD is more advanced and uses a turn detection model (in conjuction
+ * with VAD) to semantically estimate whether the user has finished speaking,
+ * then dynamically sets a timeout based on this probability. For example, if
+ * user audio trails off with \"uhhm\", the model will score a low probability
+ * of turn end and wait longer for the user to continue speaking. This can be
+ * useful for more natural conversations, but may have a higher latency.
+ *
+ * @param type Type of turn detection.
+ * @param eagerness Used only for `semantic_vad` mode. The eagerness of the
+ *   model to respond. `low` will wait longer for the user to continue speaking,
+ *   `high` will respond more quickly. `auto` is the default and is equivalent
+ *   to `medium`.
+ * @param threshold Used only for `server_vad` mode. Activation threshold for
+ *   VAD (0.0 to 1.0), this defaults to 0.5. A higher threshold will require
+ *   louder audio to activate the model, and thus might perform better in noisy
+ *   environments.
+ * @param prefixPaddingMs Used only for `server_vad` mode. Amount of audio to
+ *   include before the VAD detected speech (in milliseconds). Defaults to
+ *   300ms.
+ * @param silenceDurationMs Used only for `server_vad` mode. Duration of silence
+ *   to detect speech stop (in milliseconds). Defaults to 500ms. With shorter
+ *   values the model will respond more quickly, but may jump in on short pauses
+ *   from the user.
+ * @param createResponse Whether or not to automatically generate a response
+ *   when a VAD stop event occurs. Not available for transcription sessions.
+ * @param interruptResponse Whether or not to automatically interrupt any
+ *   ongoing response with output to the default conversation (i.e.
+ *   `conversation` of `auto`) when a VAD start event occurs. Not available for
+ *   transcription sessions.
+ */
+data class RealtimeTranscriptionSessionCreateRequestTurnDetection(
+
+    /* Type of turn detection.  */
+    @Json(name = "type")
+    val type: RealtimeTranscriptionSessionCreateRequestTurnDetection.Type? =
+        Type.server_vad,
+
+    /* Used only for `semantic_vad` mode. The eagerness of the model to respond. `low` will wait longer for the user to continue speaking, `high` will respond more quickly. `auto` is the default and is equivalent to `medium`.  */
+    @Json(name = "eagerness")
+    val eagerness:
+        RealtimeTranscriptionSessionCreateRequestTurnDetection.Eagerness? =
+        Eagerness.auto,
+
+    /* Used only for `server_vad` mode. Activation threshold for VAD (0.0 to 1.0), this defaults to 0.5. A  higher threshold will require louder audio to activate the model, and  thus might perform better in noisy environments.  */
+    @Json(name = "threshold") val threshold: java.math.BigDecimal? = null,
+
+    /* Used only for `server_vad` mode. Amount of audio to include before the VAD detected speech (in  milliseconds). Defaults to 300ms.  */
+    @Json(name = "prefix_padding_ms") val prefixPaddingMs: kotlin.Int? = null,
+
+    /* Used only for `server_vad` mode. Duration of silence to detect speech stop (in milliseconds). Defaults  to 500ms. With shorter values the model will respond more quickly,  but may jump in on short pauses from the user.  */
+    @Json(name = "silence_duration_ms")
+    val silenceDurationMs: kotlin.Int? = null,
+
+    /* Whether or not to automatically generate a response when a VAD stop event occurs. Not available for transcription sessions.  */
+    @Json(name = "create_response") val createResponse: kotlin.Boolean? = true,
+
+    /* Whether or not to automatically interrupt any ongoing response with output to the default conversation (i.e. `conversation` of `auto`) when a VAD start event occurs. Not available for transcription sessions.  */
+    @Json(name = "interrupt_response")
+    val interruptResponse: kotlin.Boolean? = true,
+) {
+
+    /**
+     * Type of turn detection.
+     *
+     * Values: server_vad,semantic_vad
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "server_vad") server_vad("server_vad"),
+        @Json(name = "semantic_vad") semantic_vad("semantic_vad"),
+    }
+
+    /**
+     * Used only for `semantic_vad` mode. The eagerness of the model to respond.
+     * `low` will wait longer for the user to continue speaking, `high` will
+     * respond more quickly. `auto` is the default and is equivalent to
+     * `medium`.
+     *
+     * Values: low,medium,high,auto
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Eagerness(val value: kotlin.String) {
+        @Json(name = "low") low("low"),
+        @Json(name = "medium") medium("medium"),
+        @Json(name = "high") high("high"),
+        @Json(name = "auto") auto("auto"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateResponse.kt b/lib/src/main/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateResponse.kt
new file mode 100644
index 00000000..f1299ab4
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateResponse.kt
@@ -0,0 +1,65 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * A new Realtime transcription session configuration. When a session is created
+ * on the server via REST API, the session object also contains an ephemeral
+ * key. Default TTL for keys is one minute. This property is not present when a
+ * session is updated via the WebSocket API.
+ *
+ * @param clientSecret
+ * @param modalities The set of modalities the model can respond with. To
+ *   disable audio, set this to [\"text\"].
+ * @param inputAudioFormat The format of input audio. Options are `pcm16`,
+ *   `g711_ulaw`, or `g711_alaw`.
+ * @param inputAudioTranscription
+ * @param turnDetection
+ */
+data class RealtimeTranscriptionSessionCreateResponse(
+    @Json(name = "client_secret")
+    val clientSecret: RealtimeTranscriptionSessionCreateResponseClientSecret,
+
+    /* The set of modalities the model can respond with. To disable audio, set this to [\"text\"].  */
+    @Json(name = "modalities")
+    val modalities:
+        kotlin.collections.List<
+            RealtimeTranscriptionSessionCreateResponse.Modalities
+        >? =
+        null,
+
+    /* The format of input audio. Options are `pcm16`, `g711_ulaw`, or `g711_alaw`.  */
+    @Json(name = "input_audio_format")
+    val inputAudioFormat: kotlin.String? = null,
+    @Json(name = "input_audio_transcription")
+    val inputAudioTranscription:
+        RealtimeTranscriptionSessionCreateResponseInputAudioTranscription? =
+        null,
+    @Json(name = "turn_detection")
+    val turnDetection: RealtimeSessionCreateResponseTurnDetection? = null,
+) {
+
+    /**
+     * The set of modalities the model can respond with. To disable audio, set
+     * this to [\"text\"].
+     *
+     * Values: text,audio
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Modalities(val value: kotlin.String) {
+        @Json(name = "text") text("text"),
+        @Json(name = "audio") audio("audio"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateResponseClientSecret.kt b/lib/src/main/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateResponseClientSecret.kt
new file mode 100644
index 00000000..5e772295
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateResponseClientSecret.kt
@@ -0,0 +1,33 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+
+/**
+ * Ephemeral key returned by the API. Only present when the session is created
+ * on the server via REST API.
+ *
+ * @param `value` Ephemeral key usable in client environments to authenticate
+ *   connections to the Realtime API. Use this in client-side environments
+ *   rather than a standard API token, which should only be used server-side.
+ * @param expiresAt Timestamp for when the token expires. Currently, all tokens
+ *   expire after one minute.
+ */
+data class RealtimeTranscriptionSessionCreateResponseClientSecret(
+
+    /* Ephemeral key usable in client environments to authenticate connections to the Realtime API. Use this in client-side environments rather than a standard API token, which should only be used server-side.  */
+    @Json(name = "value") val `value`: kotlin.String,
+
+    /* Timestamp for when the token expires. Currently, all tokens expire after one minute.  */
+    @Json(name = "expires_at") val expiresAt: kotlin.Int,
+) {}
diff --git a/lib/src/main/kotlin/com/openai/models/RealtimeSessionCreateRequestInputAudioTranscription.kt b/lib/src/main/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateResponseInputAudioTranscription.kt
similarity index 56%
rename from lib/src/main/kotlin/com/openai/models/RealtimeSessionCreateRequestInputAudioTranscription.kt
rename to lib/src/main/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateResponseInputAudioTranscription.kt
index 482c7a56..406eaa9c 100644
--- a/lib/src/main/kotlin/com/openai/models/RealtimeSessionCreateRequestInputAudioTranscription.kt
+++ b/lib/src/main/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateResponseInputAudioTranscription.kt
@@ -15,17 +15,10 @@ import com.squareup.moshi.Json
 import com.squareup.moshi.JsonClass
 
 /**
- * Configuration for input audio transcription, defaults to off and can be set
- * to `null` to turn off once on. Input audio transcription is not native to the
- * model, since the model consumes audio directly. Transcription runs
- * asynchronously through
- * [OpenAI Whisper transcription](https://platform.openai.com/docs/api-reference/audio/createTranscription)
- * and should be treated as rough guidance rather than the representation
- * understood by the model. The client can optionally set the language and
- * prompt for transcription, these fields will be passed to the Whisper API.
+ * Configuration of the transcription model.
  *
- * @param model The model to use for transcription, `whisper-1` is the only
- *   currently supported model.
+ * @param model The model to use for transcription. Can be `gpt-4o-transcribe`,
+ *   `gpt-4o-mini-transcribe`, or `whisper-1`.
  * @param language The language of the input audio. Supplying the input language
  *   in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g.
  *   `en`) format will improve accuracy and latency.
@@ -33,11 +26,12 @@ import com.squareup.moshi.JsonClass
  *   previous audio segment. The [prompt](/docs/guides/speech-to-text#prompting)
  *   should match the audio language.
  */
-data class RealtimeSessionCreateRequestInputAudioTranscription(
+data class RealtimeTranscriptionSessionCreateResponseInputAudioTranscription(
 
-    /* The model to use for transcription, `whisper-1` is the only currently  supported model.  */
+    /* The model to use for transcription. Can be `gpt-4o-transcribe`, `gpt-4o-mini-transcribe`, or `whisper-1`.  */
     @Json(name = "model")
-    val model: RealtimeSessionCreateRequestInputAudioTranscription.Model? =
+    val model:
+        RealtimeTranscriptionSessionCreateResponseInputAudioTranscription.Model? =
         null,
 
     /* The language of the input audio. Supplying the input language in [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) (e.g. `en`) format will improve accuracy and latency.  */
@@ -48,13 +42,18 @@ data class RealtimeSessionCreateRequestInputAudioTranscription(
 ) {
 
     /**
-     * The model to use for transcription, `whisper-1` is the only currently
-     * supported model.
+     * The model to use for transcription. Can be `gpt-4o-transcribe`,
+     * `gpt-4o-mini-transcribe`, or `whisper-1`.
      *
-     * Values: whisper-1
+     * Values:
+     * gptMinus4oMinusTranscribe,gptMinus4oMinusMiniMinusTranscribe,whisperMinus1
      */
     @JsonClass(generateAdapter = false)
     enum class Model(val value: kotlin.String) {
-        @Json(name = "whisper-1") whisperDash1("whisper-1")
+        @Json(name = "gpt-4o-transcribe")
+        gptMinus4oMinusTranscribe("gpt-4o-transcribe"),
+        @Json(name = "gpt-4o-mini-transcribe")
+        gptMinus4oMinusMiniMinusTranscribe("gpt-4o-mini-transcribe"),
+        @Json(name = "whisper-1") whisperMinus1("whisper-1"),
     }
 }
diff --git a/lib/src/main/kotlin/com/openai/models/Reasoning.kt b/lib/src/main/kotlin/com/openai/models/Reasoning.kt
new file mode 100644
index 00000000..ddea45ca
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/Reasoning.kt
@@ -0,0 +1,48 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * **o-series models only** Configuration options for
+ * [reasoning models](https://platform.openai.com/docs/guides/reasoning).
+ *
+ * @param effort
+ * @param generateSummary **computer_use_preview only** A summary of the
+ *   reasoning performed by the model. This can be useful for debugging and
+ *   understanding the model's reasoning process. One of `concise` or
+ *   `detailed`.
+ */
+data class Reasoning(
+    @Json(name = "effort")
+    val effort: ReasoningEffort? = ReasoningEffort.medium,
+
+    /* **computer_use_preview only**  A summary of the reasoning performed by the model. This can be useful for debugging and understanding the model's reasoning process. One of `concise` or `detailed`.  */
+    @Json(name = "generate_summary")
+    val generateSummary: Reasoning.GenerateSummary? = null,
+) {
+
+    /**
+     * **computer_use_preview only** A summary of the reasoning performed by the
+     * model. This can be useful for debugging and understanding the model's
+     * reasoning process. One of `concise` or `detailed`.
+     *
+     * Values: concise,detailed
+     */
+    @JsonClass(generateAdapter = false)
+    enum class GenerateSummary(val value: kotlin.String) {
+        @Json(name = "concise") concise("concise"),
+        @Json(name = "detailed") detailed("detailed"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ReasoningEffort.kt b/lib/src/main/kotlin/com/openai/models/ReasoningEffort.kt
index 6456a600..e67c4c88 100644
--- a/lib/src/main/kotlin/com/openai/models/ReasoningEffort.kt
+++ b/lib/src/main/kotlin/com/openai/models/ReasoningEffort.kt
@@ -15,7 +15,7 @@ import com.squareup.moshi.Json
 import com.squareup.moshi.JsonClass
 
 /**
- * **o1 and o3-mini models only** Constrains effort on reasoning for
+ * **o-series models only** Constrains effort on reasoning for
  * [reasoning models](https://platform.openai.com/docs/guides/reasoning).
  * Currently supported values are `low`, `medium`, and `high`. Reducing
  * reasoning effort can result in faster responses and fewer tokens used on
diff --git a/lib/src/main/kotlin/com/openai/models/ReasoningItem.kt b/lib/src/main/kotlin/com/openai/models/ReasoningItem.kt
new file mode 100644
index 00000000..fd000c34
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ReasoningItem.kt
@@ -0,0 +1,65 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * A description of the chain of thought used by a reasoning model while
+ * generating a response.
+ *
+ * @param type The type of the object. Always `reasoning`.
+ * @param id The unique identifier of the reasoning content.
+ * @param summary Reasoning text contents.
+ * @param status The status of the item. One of `in_progress`, `completed`, or
+ *   `incomplete`. Populated when items are returned via API.
+ */
+data class ReasoningItem(
+
+    /* The type of the object. Always `reasoning`.  */
+    @Json(name = "type") val type: ReasoningItem.Type,
+
+    /* The unique identifier of the reasoning content.  */
+    @Json(name = "id") val id: kotlin.String,
+
+    /* Reasoning text contents.  */
+    @Json(name = "summary")
+    val summary: kotlin.collections.List<ReasoningItemSummaryInner>,
+
+    /* The status of the item. One of `in_progress`, `completed`, or `incomplete`. Populated when items are returned via API.  */
+    @Json(name = "status") val status: ReasoningItem.Status? = null,
+) {
+
+    /**
+     * The type of the object. Always `reasoning`.
+     *
+     * Values: reasoning
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "reasoning") reasoning("reasoning")
+    }
+
+    /**
+     * The status of the item. One of `in_progress`, `completed`, or
+     * `incomplete`. Populated when items are returned via API.
+     *
+     * Values: in_progress,completed,incomplete
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Status(val value: kotlin.String) {
+        @Json(name = "in_progress") in_progress("in_progress"),
+        @Json(name = "completed") completed("completed"),
+        @Json(name = "incomplete") incomplete("incomplete"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ReasoningItemSummaryInner.kt b/lib/src/main/kotlin/com/openai/models/ReasoningItemSummaryInner.kt
new file mode 100644
index 00000000..6da83515
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ReasoningItemSummaryInner.kt
@@ -0,0 +1,40 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * @param type The type of the object. Always `summary_text`.
+ * @param text A short summary of the reasoning used by the model when
+ *   generating the response.
+ */
+data class ReasoningItemSummaryInner(
+
+    /* The type of the object. Always `summary_text`.  */
+    @Json(name = "type") val type: ReasoningItemSummaryInner.Type,
+
+    /* A short summary of the reasoning used by the model when generating the response.  */
+    @Json(name = "text") val text: kotlin.String,
+) {
+
+    /**
+     * The type of the object. Always `summary_text`.
+     *
+     * Values: summary_text
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "summary_text") summary_text("summary_text")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/Refusal.kt b/lib/src/main/kotlin/com/openai/models/Refusal.kt
new file mode 100644
index 00000000..3cfa61e7
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/Refusal.kt
@@ -0,0 +1,41 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * A refusal from the model.
+ *
+ * @param type The type of the refusal. Always `refusal`.
+ * @param refusal The refusal explanationfrom the model.
+ */
+data class Refusal(
+
+    /* The type of the refusal. Always `refusal`.  */
+    @Json(name = "type") val type: Refusal.Type,
+
+    /* The refusal explanationfrom the model.  */
+    @Json(name = "refusal") val refusal: kotlin.String,
+) {
+
+    /**
+     * The type of the refusal. Always `refusal`.
+     *
+     * Values: refusal
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "refusal") refusal("refusal")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/Response.kt b/lib/src/main/kotlin/com/openai/models/Response.kt
new file mode 100644
index 00000000..eb0a7fc8
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/Response.kt
@@ -0,0 +1,190 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * @param metadata Set of 16 key-value pairs that can be attached to an object.
+ *   This can be useful for storing additional information about the object in a
+ *   structured format, and querying for objects via API or the dashboard. Keys
+ *   are strings with a maximum length of 64 characters. Values are strings with
+ *   a maximum length of 512 characters.
+ * @param temperature What sampling temperature to use, between 0 and 2. Higher
+ *   values like 0.8 will make the output more random, while lower values like
+ *   0.2 will make it more focused and deterministic. We generally recommend
+ *   altering this or `top_p` but not both.
+ * @param topP An alternative to sampling with temperature, called nucleus
+ *   sampling, where the model considers the results of the tokens with top_p
+ *   probability mass. So 0.1 means only the tokens comprising the top 10%
+ *   probability mass are considered. We generally recommend altering this or
+ *   `temperature` but not both.
+ * @param model
+ * @param instructions Inserts a system (or developer) message as the first item
+ *   in the model's context. When using along with `previous_response_id`, the
+ *   instructions from a previous response will be not be carried over to the
+ *   next response. This makes it simple to swap out system (or developer)
+ *   messages in new responses.
+ * @param tools An array of tools the model may call while generating a
+ *   response. You can specify which tool to use by setting the `tool_choice`
+ *   parameter. The two categories of tools you can provide the model are: -
+ *   **Built-in tools**: Tools that are provided by OpenAI that extend the
+ *   model's capabilities, like [web search](/docs/guides/tools-web-search) or
+ *   [file search](/docs/guides/tools-file-search). Learn more about [built-in
+ *   tools](/docs/guides/tools). - **Function calls (custom tools)**: Functions
+ *   that are defined by you, enabling the model to call your own code. Learn
+ *   more about [function calling](/docs/guides/function-calling).
+ * @param toolChoice
+ * @param id Unique identifier for this Response.
+ * @param `object` The object type of this resource - always set to `response`.
+ * @param createdAt Unix timestamp (in seconds) of when this Response was
+ *   created.
+ * @param error
+ * @param incompleteDetails
+ * @param output An array of content items generated by the model. - The length
+ *   and order of items in the `output` array is dependent on the model's
+ *   response. - Rather than accessing the first item in the `output` array and
+ *   assuming it's an `assistant` message with the content generated by the
+ *   model, you might consider using the `output_text` property where supported
+ *   in SDKs.
+ * @param parallelToolCalls Whether to allow the model to run tool calls in
+ *   parallel.
+ * @param user A unique identifier representing your end-user, which can help
+ *   OpenAI to monitor and detect abuse.
+ *   [Learn more](/docs/guides/safety-best-practices#end-user-ids).
+ * @param previousResponseId The unique ID of the previous response to the
+ *   model. Use this to create multi-turn conversations. Learn more about
+ *   [conversation state](/docs/guides/conversation-state).
+ * @param reasoning
+ * @param maxOutputTokens An upper bound for the number of tokens that can be
+ *   generated for a response, including visible output tokens and
+ *   [reasoning tokens](/docs/guides/reasoning).
+ * @param text
+ * @param truncation The truncation strategy to use for the model response. -
+ *   `auto`: If the context of this response and previous ones exceeds the
+ *   model's context window size, the model will truncate the response to fit
+ *   the context window by dropping input items in the middle of the
+ *   conversation. - `disabled` (default): If a model response will exceed the
+ *   context window size for a model, the request will fail with a 400 error.
+ * @param status The status of the response generation. One of `completed`,
+ *   `failed`, `in_progress`, or `incomplete`.
+ * @param outputText SDK-only convenience property that contains the aggregated
+ *   text output from all `output_text` items in the `output` array, if any are
+ *   present. Supported in the Python and JavaScript SDKs.
+ * @param usage
+ */
+data class Response(
+
+    /* Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard.   Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.  */
+    @Json(name = "metadata")
+    val metadata: kotlin.collections.Map<kotlin.String, kotlin.String>?,
+
+    /* What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or `top_p` but not both.  */
+    @Json(name = "temperature")
+    val temperature: java.math.BigDecimal? = java.math.BigDecimal("1"),
+
+    /* An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered.  We generally recommend altering this or `temperature` but not both.  */
+    @Json(name = "top_p")
+    val topP: java.math.BigDecimal? = java.math.BigDecimal("1"),
+    @Json(name = "model") val model: ModelIdsResponses,
+
+    /* Inserts a system (or developer) message as the first item in the model's context.  When using along with `previous_response_id`, the instructions from a previous response will be not be carried over to the next response. This makes it simple to swap out system (or developer) messages in new responses.  */
+    @Json(name = "instructions") val instructions: kotlin.String?,
+
+    /* An array of tools the model may call while generating a response. You  can specify which tool to use by setting the `tool_choice` parameter.  The two categories of tools you can provide the model are:  - **Built-in tools**: Tools that are provided by OpenAI that extend the   model's capabilities, like [web search](/docs/guides/tools-web-search)   or [file search](/docs/guides/tools-file-search). Learn more about   [built-in tools](/docs/guides/tools). - **Function calls (custom tools)**: Functions that are defined by you,   enabling the model to call your own code. Learn more about   [function calling](/docs/guides/function-calling).  */
+    @Json(name = "tools") val tools: kotlin.collections.List<Tool>,
+    @Json(name = "tool_choice") val toolChoice: ResponsePropertiesToolChoice,
+
+    /* Unique identifier for this Response.  */
+    @Json(name = "id") val id: kotlin.String,
+
+    /* The object type of this resource - always set to `response`.  */
+    @Json(name = "object") val `object`: Response.`Object`,
+
+    /* Unix timestamp (in seconds) of when this Response was created.  */
+    @Json(name = "created_at") val createdAt: java.math.BigDecimal,
+    @Json(name = "error") val error: ResponseError?,
+    @Json(name = "incomplete_details")
+    val incompleteDetails: ResponseAllOfIncompleteDetails?,
+
+    /* An array of content items generated by the model.  - The length and order of items in the `output` array is dependent   on the model's response. - Rather than accessing the first item in the `output` array and    assuming it's an `assistant` message with the content generated by   the model, you might consider using the `output_text` property where   supported in SDKs.  */
+    @Json(name = "output") val output: kotlin.collections.List<OutputItem>,
+
+    /* Whether to allow the model to run tool calls in parallel.  */
+    @Json(name = "parallel_tool_calls")
+    val parallelToolCalls: kotlin.Boolean = true,
+
+    /* A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](/docs/guides/safety-best-practices#end-user-ids).  */
+    @Json(name = "user") val user: kotlin.String? = null,
+
+    /* The unique ID of the previous response to the model. Use this to create multi-turn conversations. Learn more about  [conversation state](/docs/guides/conversation-state).  */
+    @Json(name = "previous_response_id")
+    val previousResponseId: kotlin.String? = null,
+    @Json(name = "reasoning") val reasoning: Reasoning? = null,
+
+    /* An upper bound for the number of tokens that can be generated for a response, including visible output tokens and [reasoning tokens](/docs/guides/reasoning).  */
+    @Json(name = "max_output_tokens") val maxOutputTokens: kotlin.Int? = null,
+    @Json(name = "text") val text: ResponsePropertiesText? = null,
+
+    /* The truncation strategy to use for the model response. - `auto`: If the context of this response and previous ones exceeds   the model's context window size, the model will truncate the    response to fit the context window by dropping input items in the   middle of the conversation.  - `disabled` (default): If a model response will exceed the context window    size for a model, the request will fail with a 400 error.  */
+    @Json(name = "truncation")
+    val truncation: Response.Truncation? = Truncation.disabled,
+
+    /* The status of the response generation. One of `completed`, `failed`,  `in_progress`, or `incomplete`.  */
+    @Json(name = "status") val status: Response.Status? = null,
+
+    /* SDK-only convenience property that contains the aggregated text output  from all `output_text` items in the `output` array, if any are present.  Supported in the Python and JavaScript SDKs.  */
+    @Json(name = "output_text") val outputText: kotlin.String? = null,
+    @Json(name = "usage") val usage: ResponseUsage? = null,
+) {
+
+    /**
+     * The object type of this resource - always set to `response`.
+     *
+     * Values: response
+     */
+    @JsonClass(generateAdapter = false)
+    enum class `Object`(val value: kotlin.String) {
+        @Json(name = "response") response("response")
+    }
+
+    /**
+     * The truncation strategy to use for the model response. - `auto`: If the
+     * context of this response and previous ones exceeds the model's context
+     * window size, the model will truncate the response to fit the context
+     * window by dropping input items in the middle of the conversation. -
+     * `disabled` (default): If a model response will exceed the context window
+     * size for a model, the request will fail with a 400 error.
+     *
+     * Values: auto,disabled
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Truncation(val value: kotlin.String) {
+        @Json(name = "auto") auto("auto"),
+        @Json(name = "disabled") disabled("disabled"),
+    }
+
+    /**
+     * The status of the response generation. One of `completed`, `failed`,
+     * `in_progress`, or `incomplete`.
+     *
+     * Values: completed,failed,in_progress,incomplete
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Status(val value: kotlin.String) {
+        @Json(name = "completed") completed("completed"),
+        @Json(name = "failed") failed("failed"),
+        @Json(name = "in_progress") in_progress("in_progress"),
+        @Json(name = "incomplete") incomplete("incomplete"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseAllOfIncompleteDetails.kt b/lib/src/main/kotlin/com/openai/models/ResponseAllOfIncompleteDetails.kt
new file mode 100644
index 00000000..39931f96
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseAllOfIncompleteDetails.kt
@@ -0,0 +1,40 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Details about why the response is incomplete.
+ *
+ * @param reason The reason why the response is incomplete.
+ */
+data class ResponseAllOfIncompleteDetails(
+
+    /* The reason why the response is incomplete. */
+    @Json(name = "reason")
+    val reason: ResponseAllOfIncompleteDetails.Reason? = null
+) {
+
+    /**
+     * The reason why the response is incomplete.
+     *
+     * Values: max_output_tokens,content_filter
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Reason(val value: kotlin.String) {
+        @Json(name = "max_output_tokens")
+        max_output_tokens("max_output_tokens"),
+        @Json(name = "content_filter") content_filter("content_filter"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseAudioDeltaEvent.kt b/lib/src/main/kotlin/com/openai/models/ResponseAudioDeltaEvent.kt
new file mode 100644
index 00000000..bc195a31
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseAudioDeltaEvent.kt
@@ -0,0 +1,42 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Emitted when there is a partial audio response.
+ *
+ * @param type The type of the event. Always `response.audio.delta`.
+ * @param delta A chunk of Base64 encoded response audio bytes.
+ */
+data class ResponseAudioDeltaEvent(
+
+    /* The type of the event. Always `response.audio.delta`.  */
+    @Json(name = "type") val type: ResponseAudioDeltaEvent.Type,
+
+    /* A chunk of Base64 encoded response audio bytes.  */
+    @Json(name = "delta") val delta: kotlin.String,
+) {
+
+    /**
+     * The type of the event. Always `response.audio.delta`.
+     *
+     * Values: responsePeriodAudioPeriodDelta
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "response.audio.delta")
+        responsePeriodAudioPeriodDelta("response.audio.delta")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseAudioDoneEvent.kt b/lib/src/main/kotlin/com/openai/models/ResponseAudioDoneEvent.kt
new file mode 100644
index 00000000..62e328f0
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseAudioDoneEvent.kt
@@ -0,0 +1,38 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Emitted when the audio response is complete.
+ *
+ * @param type The type of the event. Always `response.audio.done`.
+ */
+data class ResponseAudioDoneEvent(
+
+    /* The type of the event. Always `response.audio.done`.  */
+    @Json(name = "type") val type: ResponseAudioDoneEvent.Type
+) {
+
+    /**
+     * The type of the event. Always `response.audio.done`.
+     *
+     * Values: responsePeriodAudioPeriodDone
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "response.audio.done")
+        responsePeriodAudioPeriodDone("response.audio.done")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseAudioTranscriptDeltaEvent.kt b/lib/src/main/kotlin/com/openai/models/ResponseAudioTranscriptDeltaEvent.kt
new file mode 100644
index 00000000..f7e6e076
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseAudioTranscriptDeltaEvent.kt
@@ -0,0 +1,44 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Emitted when there is a partial transcript of audio.
+ *
+ * @param type The type of the event. Always `response.audio.transcript.delta`.
+ * @param delta The partial transcript of the audio response.
+ */
+data class ResponseAudioTranscriptDeltaEvent(
+
+    /* The type of the event. Always `response.audio.transcript.delta`.  */
+    @Json(name = "type") val type: ResponseAudioTranscriptDeltaEvent.Type,
+
+    /* The partial transcript of the audio response.  */
+    @Json(name = "delta") val delta: kotlin.String,
+) {
+
+    /**
+     * The type of the event. Always `response.audio.transcript.delta`.
+     *
+     * Values: responsePeriodAudioPeriodTranscriptPeriodDelta
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "response.audio.transcript.delta")
+        responsePeriodAudioPeriodTranscriptPeriodDelta(
+            "response.audio.transcript.delta"
+        )
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseAudioTranscriptDoneEvent.kt b/lib/src/main/kotlin/com/openai/models/ResponseAudioTranscriptDoneEvent.kt
new file mode 100644
index 00000000..9683cacf
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseAudioTranscriptDoneEvent.kt
@@ -0,0 +1,40 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Emitted when the full audio transcript is completed.
+ *
+ * @param type The type of the event. Always `response.audio.transcript.done`.
+ */
+data class ResponseAudioTranscriptDoneEvent(
+
+    /* The type of the event. Always `response.audio.transcript.done`.  */
+    @Json(name = "type") val type: ResponseAudioTranscriptDoneEvent.Type
+) {
+
+    /**
+     * The type of the event. Always `response.audio.transcript.done`.
+     *
+     * Values: responsePeriodAudioPeriodTranscriptPeriodDone
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "response.audio.transcript.done")
+        responsePeriodAudioPeriodTranscriptPeriodDone(
+            "response.audio.transcript.done"
+        )
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseCodeInterpreterCallCodeDeltaEvent.kt b/lib/src/main/kotlin/com/openai/models/ResponseCodeInterpreterCallCodeDeltaEvent.kt
new file mode 100644
index 00000000..a5069005
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseCodeInterpreterCallCodeDeltaEvent.kt
@@ -0,0 +1,52 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Emitted when a partial code snippet is added by the code interpreter.
+ *
+ * @param type The type of the event. Always
+ *   `response.code_interpreter_call.code.delta`.
+ * @param outputIndex The index of the output item that the code interpreter
+ *   call is in progress.
+ * @param delta The partial code snippet added by the code interpreter.
+ */
+data class ResponseCodeInterpreterCallCodeDeltaEvent(
+
+    /* The type of the event. Always `response.code_interpreter_call.code.delta`.  */
+    @Json(name = "type")
+    val type: ResponseCodeInterpreterCallCodeDeltaEvent.Type,
+
+    /* The index of the output item that the code interpreter call is in progress.  */
+    @Json(name = "output_index") val outputIndex: kotlin.Int,
+
+    /* The partial code snippet added by the code interpreter.  */
+    @Json(name = "delta") val delta: kotlin.String,
+) {
+
+    /**
+     * The type of the event. Always
+     * `response.code_interpreter_call.code.delta`.
+     *
+     * Values: responsePeriodCode_interpreter_callPeriodCodePeriodDelta
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "response.code_interpreter_call.code.delta")
+        responsePeriodCode_interpreter_callPeriodCodePeriodDelta(
+            "response.code_interpreter_call.code.delta"
+        )
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseCodeInterpreterCallCodeDoneEvent.kt b/lib/src/main/kotlin/com/openai/models/ResponseCodeInterpreterCallCodeDoneEvent.kt
new file mode 100644
index 00000000..4c5aaa3b
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseCodeInterpreterCallCodeDoneEvent.kt
@@ -0,0 +1,51 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Emitted when code snippet output is finalized by the code interpreter.
+ *
+ * @param type The type of the event. Always
+ *   `response.code_interpreter_call.code.done`.
+ * @param outputIndex The index of the output item that the code interpreter
+ *   call is in progress.
+ * @param code The final code snippet output by the code interpreter.
+ */
+data class ResponseCodeInterpreterCallCodeDoneEvent(
+
+    /* The type of the event. Always `response.code_interpreter_call.code.done`.  */
+    @Json(name = "type")
+    val type: ResponseCodeInterpreterCallCodeDoneEvent.Type,
+
+    /* The index of the output item that the code interpreter call is in progress.  */
+    @Json(name = "output_index") val outputIndex: kotlin.Int,
+
+    /* The final code snippet output by the code interpreter.  */
+    @Json(name = "code") val code: kotlin.String,
+) {
+
+    /**
+     * The type of the event. Always `response.code_interpreter_call.code.done`.
+     *
+     * Values: responsePeriodCode_interpreter_callPeriodCodePeriodDone
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "response.code_interpreter_call.code.done")
+        responsePeriodCode_interpreter_callPeriodCodePeriodDone(
+            "response.code_interpreter_call.code.done"
+        )
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseCodeInterpreterCallCompletedEvent.kt b/lib/src/main/kotlin/com/openai/models/ResponseCodeInterpreterCallCompletedEvent.kt
new file mode 100644
index 00000000..7ed4bc96
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseCodeInterpreterCallCompletedEvent.kt
@@ -0,0 +1,50 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Emitted when the code interpreter call is completed.
+ *
+ * @param type The type of the event. Always
+ *   `response.code_interpreter_call.completed`.
+ * @param outputIndex The index of the output item that the code interpreter
+ *   call is in progress.
+ * @param codeInterpreterCall
+ */
+data class ResponseCodeInterpreterCallCompletedEvent(
+
+    /* The type of the event. Always `response.code_interpreter_call.completed`.  */
+    @Json(name = "type")
+    val type: ResponseCodeInterpreterCallCompletedEvent.Type,
+
+    /* The index of the output item that the code interpreter call is in progress.  */
+    @Json(name = "output_index") val outputIndex: kotlin.Int,
+    @Json(name = "code_interpreter_call")
+    val codeInterpreterCall: CodeInterpreterToolCall,
+) {
+
+    /**
+     * The type of the event. Always `response.code_interpreter_call.completed`.
+     *
+     * Values: responsePeriodCode_interpreter_callPeriodCompleted
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "response.code_interpreter_call.completed")
+        responsePeriodCode_interpreter_callPeriodCompleted(
+            "response.code_interpreter_call.completed"
+        )
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseCodeInterpreterCallInProgressEvent.kt b/lib/src/main/kotlin/com/openai/models/ResponseCodeInterpreterCallInProgressEvent.kt
new file mode 100644
index 00000000..3938aa91
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseCodeInterpreterCallInProgressEvent.kt
@@ -0,0 +1,51 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Emitted when a code interpreter call is in progress.
+ *
+ * @param type The type of the event. Always
+ *   `response.code_interpreter_call.in_progress`.
+ * @param outputIndex The index of the output item that the code interpreter
+ *   call is in progress.
+ * @param codeInterpreterCall
+ */
+data class ResponseCodeInterpreterCallInProgressEvent(
+
+    /* The type of the event. Always `response.code_interpreter_call.in_progress`.  */
+    @Json(name = "type")
+    val type: ResponseCodeInterpreterCallInProgressEvent.Type,
+
+    /* The index of the output item that the code interpreter call is in progress.  */
+    @Json(name = "output_index") val outputIndex: kotlin.Int,
+    @Json(name = "code_interpreter_call")
+    val codeInterpreterCall: CodeInterpreterToolCall,
+) {
+
+    /**
+     * The type of the event. Always
+     * `response.code_interpreter_call.in_progress`.
+     *
+     * Values: responsePeriodCode_interpreter_callPeriodIn_progress
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "response.code_interpreter_call.in_progress")
+        responsePeriodCode_interpreter_callPeriodIn_progress(
+            "response.code_interpreter_call.in_progress"
+        )
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseCodeInterpreterCallInterpretingEvent.kt b/lib/src/main/kotlin/com/openai/models/ResponseCodeInterpreterCallInterpretingEvent.kt
new file mode 100644
index 00000000..3cf548f8
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseCodeInterpreterCallInterpretingEvent.kt
@@ -0,0 +1,51 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Emitted when the code interpreter is actively interpreting the code snippet.
+ *
+ * @param type The type of the event. Always
+ *   `response.code_interpreter_call.interpreting`.
+ * @param outputIndex The index of the output item that the code interpreter
+ *   call is in progress.
+ * @param codeInterpreterCall
+ */
+data class ResponseCodeInterpreterCallInterpretingEvent(
+
+    /* The type of the event. Always `response.code_interpreter_call.interpreting`.  */
+    @Json(name = "type")
+    val type: ResponseCodeInterpreterCallInterpretingEvent.Type,
+
+    /* The index of the output item that the code interpreter call is in progress.  */
+    @Json(name = "output_index") val outputIndex: kotlin.Int,
+    @Json(name = "code_interpreter_call")
+    val codeInterpreterCall: CodeInterpreterToolCall,
+) {
+
+    /**
+     * The type of the event. Always
+     * `response.code_interpreter_call.interpreting`.
+     *
+     * Values: responsePeriodCode_interpreter_callPeriodInterpreting
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "response.code_interpreter_call.interpreting")
+        responsePeriodCode_interpreter_callPeriodInterpreting(
+            "response.code_interpreter_call.interpreting"
+        )
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseCompletedEvent.kt b/lib/src/main/kotlin/com/openai/models/ResponseCompletedEvent.kt
new file mode 100644
index 00000000..617ff77c
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseCompletedEvent.kt
@@ -0,0 +1,40 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Emitted when the model response is complete.
+ *
+ * @param type The type of the event. Always `response.completed`.
+ * @param response
+ */
+data class ResponseCompletedEvent(
+
+    /* The type of the event. Always `response.completed`.  */
+    @Json(name = "type") val type: ResponseCompletedEvent.Type,
+    @Json(name = "response") val response: Response,
+) {
+
+    /**
+     * The type of the event. Always `response.completed`.
+     *
+     * Values: responsePeriodCompleted
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "response.completed")
+        responsePeriodCompleted("response.completed")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseContentPartAddedEvent.kt b/lib/src/main/kotlin/com/openai/models/ResponseContentPartAddedEvent.kt
new file mode 100644
index 00000000..8813081f
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseContentPartAddedEvent.kt
@@ -0,0 +1,53 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Emitted when a new content part is added.
+ *
+ * @param type The type of the event. Always `response.content_part.added`.
+ * @param itemId The ID of the output item that the content part was added to.
+ * @param outputIndex The index of the output item that the content part was
+ *   added to.
+ * @param contentIndex The index of the content part that was added.
+ * @param part
+ */
+data class ResponseContentPartAddedEvent(
+
+    /* The type of the event. Always `response.content_part.added`.  */
+    @Json(name = "type") val type: ResponseContentPartAddedEvent.Type,
+
+    /* The ID of the output item that the content part was added to.  */
+    @Json(name = "item_id") val itemId: kotlin.String,
+
+    /* The index of the output item that the content part was added to.  */
+    @Json(name = "output_index") val outputIndex: kotlin.Int,
+
+    /* The index of the content part that was added.  */
+    @Json(name = "content_index") val contentIndex: kotlin.Int,
+    @Json(name = "part") val part: OutputContent,
+) {
+
+    /**
+     * The type of the event. Always `response.content_part.added`.
+     *
+     * Values: responsePeriodContent_partPeriodAdded
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "response.content_part.added")
+        responsePeriodContent_partPeriodAdded("response.content_part.added")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseContentPartDoneEvent.kt b/lib/src/main/kotlin/com/openai/models/ResponseContentPartDoneEvent.kt
new file mode 100644
index 00000000..4f3c0278
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseContentPartDoneEvent.kt
@@ -0,0 +1,53 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Emitted when a content part is done.
+ *
+ * @param type The type of the event. Always `response.content_part.done`.
+ * @param itemId The ID of the output item that the content part was added to.
+ * @param outputIndex The index of the output item that the content part was
+ *   added to.
+ * @param contentIndex The index of the content part that is done.
+ * @param part
+ */
+data class ResponseContentPartDoneEvent(
+
+    /* The type of the event. Always `response.content_part.done`.  */
+    @Json(name = "type") val type: ResponseContentPartDoneEvent.Type,
+
+    /* The ID of the output item that the content part was added to.  */
+    @Json(name = "item_id") val itemId: kotlin.String,
+
+    /* The index of the output item that the content part was added to.  */
+    @Json(name = "output_index") val outputIndex: kotlin.Int,
+
+    /* The index of the content part that is done.  */
+    @Json(name = "content_index") val contentIndex: kotlin.Int,
+    @Json(name = "part") val part: OutputContent,
+) {
+
+    /**
+     * The type of the event. Always `response.content_part.done`.
+     *
+     * Values: responsePeriodContent_partPeriodDone
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "response.content_part.done")
+        responsePeriodContent_partPeriodDone("response.content_part.done")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseCreatedEvent.kt b/lib/src/main/kotlin/com/openai/models/ResponseCreatedEvent.kt
new file mode 100644
index 00000000..265bf4fc
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseCreatedEvent.kt
@@ -0,0 +1,40 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * An event that is emitted when a response is created.
+ *
+ * @param type The type of the event. Always `response.created`.
+ * @param response
+ */
+data class ResponseCreatedEvent(
+
+    /* The type of the event. Always `response.created`.  */
+    @Json(name = "type") val type: ResponseCreatedEvent.Type,
+    @Json(name = "response") val response: Response,
+) {
+
+    /**
+     * The type of the event. Always `response.created`.
+     *
+     * Values: responsePeriodCreated
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "response.created")
+        responsePeriodCreated("response.created")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseError.kt b/lib/src/main/kotlin/com/openai/models/ResponseError.kt
new file mode 100644
index 00000000..ca833c07
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseError.kt
@@ -0,0 +1,27 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+
+/**
+ * An error object returned when the model fails to generate a Response.
+ *
+ * @param code
+ * @param message A human-readable description of the error.
+ */
+data class ResponseError(
+    @Json(name = "code") val code: ResponseErrorCode,
+
+    /* A human-readable description of the error.  */
+    @Json(name = "message") val message: kotlin.String,
+) {}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseErrorCode.kt b/lib/src/main/kotlin/com/openai/models/ResponseErrorCode.kt
new file mode 100644
index 00000000..cf5107b0
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseErrorCode.kt
@@ -0,0 +1,81 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * The error code for the response.
+ *
+ * Values:
+ * server_error,rate_limit_exceeded,invalid_prompt,vector_store_timeout,invalid_image,invalid_image_format,invalid_base64_image,invalid_image_url,image_too_large,image_too_small,image_parse_error,image_content_policy_violation,invalid_image_mode,image_file_too_large,unsupported_image_media_type,empty_image_file,failed_to_download_image,image_file_not_found
+ */
+@JsonClass(generateAdapter = false)
+enum class ResponseErrorCode(val value: kotlin.String) {
+
+    @Json(name = "server_error") server_error("server_error"),
+    @Json(name = "rate_limit_exceeded")
+    rate_limit_exceeded("rate_limit_exceeded"),
+    @Json(name = "invalid_prompt") invalid_prompt("invalid_prompt"),
+    @Json(name = "vector_store_timeout")
+    vector_store_timeout("vector_store_timeout"),
+    @Json(name = "invalid_image") invalid_image("invalid_image"),
+    @Json(name = "invalid_image_format")
+    invalid_image_format("invalid_image_format"),
+    @Json(name = "invalid_base64_image")
+    invalid_base64_image("invalid_base64_image"),
+    @Json(name = "invalid_image_url") invalid_image_url("invalid_image_url"),
+    @Json(name = "image_too_large") image_too_large("image_too_large"),
+    @Json(name = "image_too_small") image_too_small("image_too_small"),
+    @Json(name = "image_parse_error") image_parse_error("image_parse_error"),
+    @Json(name = "image_content_policy_violation")
+    image_content_policy_violation("image_content_policy_violation"),
+    @Json(name = "invalid_image_mode") invalid_image_mode("invalid_image_mode"),
+    @Json(name = "image_file_too_large")
+    image_file_too_large("image_file_too_large"),
+    @Json(name = "unsupported_image_media_type")
+    unsupported_image_media_type("unsupported_image_media_type"),
+    @Json(name = "empty_image_file") empty_image_file("empty_image_file"),
+    @Json(name = "failed_to_download_image")
+    failed_to_download_image("failed_to_download_image"),
+    @Json(name = "image_file_not_found")
+    image_file_not_found("image_file_not_found");
+
+    /**
+     * Override [toString()] to avoid using the enum variable name as the value,
+     * and instead use the actual value defined in the API spec file.
+     *
+     * This solves a problem when the variable name and its value are different,
+     * and ensures that the client sends the correct enum values to the server
+     * always.
+     */
+    override fun toString(): kotlin.String = value
+
+    companion object {
+        /**
+         * Converts the provided [data] to a [String] on success, null
+         * otherwise.
+         */
+        fun encode(data: kotlin.Any?): kotlin.String? =
+            if (data is ResponseErrorCode) "$data" else null
+
+        /** Returns a valid [ResponseErrorCode] for [data], null otherwise. */
+        fun decode(data: kotlin.Any?): ResponseErrorCode? =
+            data?.let {
+                val normalizedData = "$it".lowercase()
+                values().firstOrNull { value ->
+                    it == value || normalizedData == "$value".lowercase()
+                }
+            }
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseErrorEvent.kt b/lib/src/main/kotlin/com/openai/models/ResponseErrorEvent.kt
new file mode 100644
index 00000000..f600ed8c
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseErrorEvent.kt
@@ -0,0 +1,49 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Emitted when an error occurs.
+ *
+ * @param type The type of the event. Always `error`.
+ * @param code The error code.
+ * @param message The error message.
+ * @param `param` The error parameter.
+ */
+data class ResponseErrorEvent(
+
+    /* The type of the event. Always `error`.  */
+    @Json(name = "type") val type: ResponseErrorEvent.Type,
+
+    /* The error code.  */
+    @Json(name = "code") val code: kotlin.String?,
+
+    /* The error message.  */
+    @Json(name = "message") val message: kotlin.String,
+
+    /* The error parameter.  */
+    @Json(name = "param") val `param`: kotlin.String?,
+) {
+
+    /**
+     * The type of the event. Always `error`.
+     *
+     * Values: error
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "error") error("error")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseFailedEvent.kt b/lib/src/main/kotlin/com/openai/models/ResponseFailedEvent.kt
new file mode 100644
index 00000000..f3b44122
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseFailedEvent.kt
@@ -0,0 +1,39 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * An event that is emitted when a response fails.
+ *
+ * @param type The type of the event. Always `response.failed`.
+ * @param response
+ */
+data class ResponseFailedEvent(
+
+    /* The type of the event. Always `response.failed`.  */
+    @Json(name = "type") val type: ResponseFailedEvent.Type,
+    @Json(name = "response") val response: Response,
+) {
+
+    /**
+     * The type of the event. Always `response.failed`.
+     *
+     * Values: responsePeriodFailed
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "response.failed") responsePeriodFailed("response.failed")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseFileSearchCallCompletedEvent.kt b/lib/src/main/kotlin/com/openai/models/ResponseFileSearchCallCompletedEvent.kt
new file mode 100644
index 00000000..ed6aaa01
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseFileSearchCallCompletedEvent.kt
@@ -0,0 +1,51 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Emitted when a file search call is completed (results found).
+ *
+ * @param type The type of the event. Always
+ *   `response.file_search_call.completed`.
+ * @param outputIndex The index of the output item that the file search call is
+ *   initiated.
+ * @param itemId The ID of the output item that the file search call is
+ *   initiated.
+ */
+data class ResponseFileSearchCallCompletedEvent(
+
+    /* The type of the event. Always `response.file_search_call.completed`.  */
+    @Json(name = "type") val type: ResponseFileSearchCallCompletedEvent.Type,
+
+    /* The index of the output item that the file search call is initiated.  */
+    @Json(name = "output_index") val outputIndex: kotlin.Int,
+
+    /* The ID of the output item that the file search call is initiated.  */
+    @Json(name = "item_id") val itemId: kotlin.String,
+) {
+
+    /**
+     * The type of the event. Always `response.file_search_call.completed`.
+     *
+     * Values: responsePeriodFile_search_callPeriodCompleted
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "response.file_search_call.completed")
+        responsePeriodFile_search_callPeriodCompleted(
+            "response.file_search_call.completed"
+        )
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseFileSearchCallInProgressEvent.kt b/lib/src/main/kotlin/com/openai/models/ResponseFileSearchCallInProgressEvent.kt
new file mode 100644
index 00000000..718a9776
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseFileSearchCallInProgressEvent.kt
@@ -0,0 +1,51 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Emitted when a file search call is initiated.
+ *
+ * @param type The type of the event. Always
+ *   `response.file_search_call.in_progress`.
+ * @param outputIndex The index of the output item that the file search call is
+ *   initiated.
+ * @param itemId The ID of the output item that the file search call is
+ *   initiated.
+ */
+data class ResponseFileSearchCallInProgressEvent(
+
+    /* The type of the event. Always `response.file_search_call.in_progress`.  */
+    @Json(name = "type") val type: ResponseFileSearchCallInProgressEvent.Type,
+
+    /* The index of the output item that the file search call is initiated.  */
+    @Json(name = "output_index") val outputIndex: kotlin.Int,
+
+    /* The ID of the output item that the file search call is initiated.  */
+    @Json(name = "item_id") val itemId: kotlin.String,
+) {
+
+    /**
+     * The type of the event. Always `response.file_search_call.in_progress`.
+     *
+     * Values: responsePeriodFile_search_callPeriodIn_progress
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "response.file_search_call.in_progress")
+        responsePeriodFile_search_callPeriodIn_progress(
+            "response.file_search_call.in_progress"
+        )
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseFileSearchCallSearchingEvent.kt b/lib/src/main/kotlin/com/openai/models/ResponseFileSearchCallSearchingEvent.kt
new file mode 100644
index 00000000..f6c7b0ad
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseFileSearchCallSearchingEvent.kt
@@ -0,0 +1,51 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Emitted when a file search is currently searching.
+ *
+ * @param type The type of the event. Always
+ *   `response.file_search_call.searching`.
+ * @param outputIndex The index of the output item that the file search call is
+ *   searching.
+ * @param itemId The ID of the output item that the file search call is
+ *   initiated.
+ */
+data class ResponseFileSearchCallSearchingEvent(
+
+    /* The type of the event. Always `response.file_search_call.searching`.  */
+    @Json(name = "type") val type: ResponseFileSearchCallSearchingEvent.Type,
+
+    /* The index of the output item that the file search call is searching.  */
+    @Json(name = "output_index") val outputIndex: kotlin.Int,
+
+    /* The ID of the output item that the file search call is initiated.  */
+    @Json(name = "item_id") val itemId: kotlin.String,
+) {
+
+    /**
+     * The type of the event. Always `response.file_search_call.searching`.
+     *
+     * Values: responsePeriodFile_search_callPeriodSearching
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "response.file_search_call.searching")
+        responsePeriodFile_search_callPeriodSearching(
+            "response.file_search_call.searching"
+        )
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseFormatJsonObject.kt b/lib/src/main/kotlin/com/openai/models/ResponseFormatJsonObject.kt
index 6e09b9d5..2aef92e5 100644
--- a/lib/src/main/kotlin/com/openai/models/ResponseFormatJsonObject.kt
+++ b/lib/src/main/kotlin/com/openai/models/ResponseFormatJsonObject.kt
@@ -14,15 +14,22 @@ package com.openai.models
 import com.squareup.moshi.Json
 import com.squareup.moshi.JsonClass
 
-/** @param type The type of response format being defined: `json_object` */
+/**
+ * JSON object response format. An older method of generating JSON responses.
+ * Using `json_schema` is recommended for models that support it. Note that the
+ * model will not generate JSON without a system or user message instructing it
+ * to do so.
+ *
+ * @param type The type of response format being defined. Always `json_object`.
+ */
 data class ResponseFormatJsonObject(
 
-    /* The type of response format being defined: `json_object` */
+    /* The type of response format being defined. Always `json_object`. */
     @Json(name = "type") val type: ResponseFormatJsonObject.Type
 ) {
 
     /**
-     * The type of response format being defined: `json_object`
+     * The type of response format being defined. Always `json_object`.
      *
      * Values: json_object
      */
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseFormatJsonSchema.kt b/lib/src/main/kotlin/com/openai/models/ResponseFormatJsonSchema.kt
index 17f088b3..4d20b511 100644
--- a/lib/src/main/kotlin/com/openai/models/ResponseFormatJsonSchema.kt
+++ b/lib/src/main/kotlin/com/openai/models/ResponseFormatJsonSchema.kt
@@ -15,19 +15,21 @@ import com.squareup.moshi.Json
 import com.squareup.moshi.JsonClass
 
 /**
- * @param type The type of response format being defined: `json_schema`
+ * JSON Schema response format. Used to generate structured JSON responses.
+ * Learn more about [Structured Outputs](/docs/guides/structured-outputs).
+ *
+ * @param type The type of response format being defined. Always `json_schema`.
  * @param jsonSchema
  */
 data class ResponseFormatJsonSchema(
 
-    /* The type of response format being defined: `json_schema` */
+    /* The type of response format being defined. Always `json_schema`. */
     @Json(name = "type") val type: ResponseFormatJsonSchema.Type,
-    @Json(name = "json_schema")
-    val jsonSchema: ResponseFormatJsonSchemaJsonSchema,
+    @Json(name = "json_schema") val jsonSchema: JSONSchema,
 ) {
 
     /**
-     * The type of response format being defined: `json_schema`
+     * The type of response format being defined. Always `json_schema`.
      *
      * Values: json_schema
      */
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseFormatText.kt b/lib/src/main/kotlin/com/openai/models/ResponseFormatText.kt
index 1fabc031..7deb0fb9 100644
--- a/lib/src/main/kotlin/com/openai/models/ResponseFormatText.kt
+++ b/lib/src/main/kotlin/com/openai/models/ResponseFormatText.kt
@@ -14,15 +14,19 @@ package com.openai.models
 import com.squareup.moshi.Json
 import com.squareup.moshi.JsonClass
 
-/** @param type The type of response format being defined: `text` */
+/**
+ * Default response format. Used to generate text responses.
+ *
+ * @param type The type of response format being defined. Always `text`.
+ */
 data class ResponseFormatText(
 
-    /* The type of response format being defined: `text` */
+    /* The type of response format being defined. Always `text`. */
     @Json(name = "type") val type: ResponseFormatText.Type
 ) {
 
     /**
-     * The type of response format being defined: `text`
+     * The type of response format being defined. Always `text`.
      *
      * Values: text
      */
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseFunctionCallArgumentsDeltaEvent.kt b/lib/src/main/kotlin/com/openai/models/ResponseFunctionCallArgumentsDeltaEvent.kt
new file mode 100644
index 00000000..ce17ede3
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseFunctionCallArgumentsDeltaEvent.kt
@@ -0,0 +1,55 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Emitted when there is a partial function-call arguments delta.
+ *
+ * @param type The type of the event. Always
+ *   `response.function_call_arguments.delta`.
+ * @param itemId The ID of the output item that the function-call arguments
+ *   delta is added to.
+ * @param outputIndex The index of the output item that the function-call
+ *   arguments delta is added to.
+ * @param delta The function-call arguments delta that is added.
+ */
+data class ResponseFunctionCallArgumentsDeltaEvent(
+
+    /* The type of the event. Always `response.function_call_arguments.delta`.  */
+    @Json(name = "type") val type: ResponseFunctionCallArgumentsDeltaEvent.Type,
+
+    /* The ID of the output item that the function-call arguments delta is added to.  */
+    @Json(name = "item_id") val itemId: kotlin.String,
+
+    /* The index of the output item that the function-call arguments delta is added to.  */
+    @Json(name = "output_index") val outputIndex: kotlin.Int,
+
+    /* The function-call arguments delta that is added.  */
+    @Json(name = "delta") val delta: kotlin.String,
+) {
+
+    /**
+     * The type of the event. Always `response.function_call_arguments.delta`.
+     *
+     * Values: responsePeriodFunction_call_argumentsPeriodDelta
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "response.function_call_arguments.delta")
+        responsePeriodFunction_call_argumentsPeriodDelta(
+            "response.function_call_arguments.delta"
+        )
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseFunctionCallArgumentsDoneEvent.kt b/lib/src/main/kotlin/com/openai/models/ResponseFunctionCallArgumentsDoneEvent.kt
new file mode 100644
index 00000000..5566f1c9
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseFunctionCallArgumentsDoneEvent.kt
@@ -0,0 +1,46 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Emitted when function-call arguments are finalized.
+ *
+ * @param type
+ * @param itemId The ID of the item.
+ * @param outputIndex The index of the output item.
+ * @param arguments The function-call arguments.
+ */
+data class ResponseFunctionCallArgumentsDoneEvent(
+    @Json(name = "type") val type: ResponseFunctionCallArgumentsDoneEvent.Type,
+
+    /* The ID of the item. */
+    @Json(name = "item_id") val itemId: kotlin.String,
+
+    /* The index of the output item. */
+    @Json(name = "output_index") val outputIndex: kotlin.Int,
+
+    /* The function-call arguments. */
+    @Json(name = "arguments") val arguments: kotlin.String,
+) {
+
+    /** Values: responsePeriodFunction_call_argumentsPeriodDone */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "response.function_call_arguments.done")
+        responsePeriodFunction_call_argumentsPeriodDone(
+            "response.function_call_arguments.done"
+        )
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseInProgressEvent.kt b/lib/src/main/kotlin/com/openai/models/ResponseInProgressEvent.kt
new file mode 100644
index 00000000..dfa41ba0
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseInProgressEvent.kt
@@ -0,0 +1,40 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Emitted when the response is in progress.
+ *
+ * @param type The type of the event. Always `response.in_progress`.
+ * @param response
+ */
+data class ResponseInProgressEvent(
+
+    /* The type of the event. Always `response.in_progress`.  */
+    @Json(name = "type") val type: ResponseInProgressEvent.Type,
+    @Json(name = "response") val response: Response,
+) {
+
+    /**
+     * The type of the event. Always `response.in_progress`.
+     *
+     * Values: responsePeriodIn_progress
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "response.in_progress")
+        responsePeriodIn_progress("response.in_progress")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseIncompleteEvent.kt b/lib/src/main/kotlin/com/openai/models/ResponseIncompleteEvent.kt
new file mode 100644
index 00000000..8cb20dbc
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseIncompleteEvent.kt
@@ -0,0 +1,40 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * An event that is emitted when a response finishes as incomplete.
+ *
+ * @param type The type of the event. Always `response.incomplete`.
+ * @param response
+ */
+data class ResponseIncompleteEvent(
+
+    /* The type of the event. Always `response.incomplete`.  */
+    @Json(name = "type") val type: ResponseIncompleteEvent.Type,
+    @Json(name = "response") val response: Response,
+) {
+
+    /**
+     * The type of the event. Always `response.incomplete`.
+     *
+     * Values: responsePeriodIncomplete
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "response.incomplete")
+        responsePeriodIncomplete("response.incomplete")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseItemList.kt b/lib/src/main/kotlin/com/openai/models/ResponseItemList.kt
new file mode 100644
index 00000000..36a33517
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseItemList.kt
@@ -0,0 +1,53 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * A list of Response items.
+ *
+ * @param `object` The type of object returned, must be `list`.
+ * @param `data` A list of items used to generate this response.
+ * @param hasMore Whether there are more items available.
+ * @param firstId The ID of the first item in the list.
+ * @param lastId The ID of the last item in the list.
+ */
+data class ResponseItemList(
+
+    /* The type of object returned, must be `list`. */
+    @Json(name = "object") val `object`: ResponseItemList.`Object`,
+
+    /* A list of items used to generate this response. */
+    @Json(name = "data") val `data`: kotlin.collections.List<ItemResource>,
+
+    /* Whether there are more items available. */
+    @Json(name = "has_more") val hasMore: kotlin.Boolean,
+
+    /* The ID of the first item in the list. */
+    @Json(name = "first_id") val firstId: kotlin.String,
+
+    /* The ID of the last item in the list. */
+    @Json(name = "last_id") val lastId: kotlin.String,
+) {
+
+    /**
+     * The type of object returned, must be `list`.
+     *
+     * Values: list
+     */
+    @JsonClass(generateAdapter = false)
+    enum class `Object`(val value: kotlin.String) {
+        @Json(name = "list") list("list")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseOutputItemAddedEvent.kt b/lib/src/main/kotlin/com/openai/models/ResponseOutputItemAddedEvent.kt
new file mode 100644
index 00000000..04dc34cc
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseOutputItemAddedEvent.kt
@@ -0,0 +1,44 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Emitted when a new output item is added.
+ *
+ * @param type The type of the event. Always `response.output_item.added`.
+ * @param outputIndex The index of the output item that was added.
+ * @param item
+ */
+data class ResponseOutputItemAddedEvent(
+
+    /* The type of the event. Always `response.output_item.added`.  */
+    @Json(name = "type") val type: ResponseOutputItemAddedEvent.Type,
+
+    /* The index of the output item that was added.  */
+    @Json(name = "output_index") val outputIndex: kotlin.Int,
+    @Json(name = "item") val item: OutputItem,
+) {
+
+    /**
+     * The type of the event. Always `response.output_item.added`.
+     *
+     * Values: responsePeriodOutput_itemPeriodAdded
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "response.output_item.added")
+        responsePeriodOutput_itemPeriodAdded("response.output_item.added")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseOutputItemDoneEvent.kt b/lib/src/main/kotlin/com/openai/models/ResponseOutputItemDoneEvent.kt
new file mode 100644
index 00000000..7e61b679
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseOutputItemDoneEvent.kt
@@ -0,0 +1,44 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Emitted when an output item is marked done.
+ *
+ * @param type The type of the event. Always `response.output_item.done`.
+ * @param outputIndex The index of the output item that was marked done.
+ * @param item
+ */
+data class ResponseOutputItemDoneEvent(
+
+    /* The type of the event. Always `response.output_item.done`.  */
+    @Json(name = "type") val type: ResponseOutputItemDoneEvent.Type,
+
+    /* The index of the output item that was marked done.  */
+    @Json(name = "output_index") val outputIndex: kotlin.Int,
+    @Json(name = "item") val item: OutputItem,
+) {
+
+    /**
+     * The type of the event. Always `response.output_item.done`.
+     *
+     * Values: responsePeriodOutput_itemPeriodDone
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "response.output_item.done")
+        responsePeriodOutput_itemPeriodDone("response.output_item.done")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseProperties.kt b/lib/src/main/kotlin/com/openai/models/ResponseProperties.kt
new file mode 100644
index 00000000..8646f6a8
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseProperties.kt
@@ -0,0 +1,89 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * @param previousResponseId The unique ID of the previous response to the
+ *   model. Use this to create multi-turn conversations. Learn more about
+ *   [conversation state](/docs/guides/conversation-state).
+ * @param model
+ * @param reasoning
+ * @param maxOutputTokens An upper bound for the number of tokens that can be
+ *   generated for a response, including visible output tokens and
+ *   [reasoning tokens](/docs/guides/reasoning).
+ * @param instructions Inserts a system (or developer) message as the first item
+ *   in the model's context. When using along with `previous_response_id`, the
+ *   instructions from a previous response will be not be carried over to the
+ *   next response. This makes it simple to swap out system (or developer)
+ *   messages in new responses.
+ * @param text
+ * @param tools An array of tools the model may call while generating a
+ *   response. You can specify which tool to use by setting the `tool_choice`
+ *   parameter. The two categories of tools you can provide the model are: -
+ *   **Built-in tools**: Tools that are provided by OpenAI that extend the
+ *   model's capabilities, like [web search](/docs/guides/tools-web-search) or
+ *   [file search](/docs/guides/tools-file-search). Learn more about [built-in
+ *   tools](/docs/guides/tools). - **Function calls (custom tools)**: Functions
+ *   that are defined by you, enabling the model to call your own code. Learn
+ *   more about [function calling](/docs/guides/function-calling).
+ * @param toolChoice
+ * @param truncation The truncation strategy to use for the model response. -
+ *   `auto`: If the context of this response and previous ones exceeds the
+ *   model's context window size, the model will truncate the response to fit
+ *   the context window by dropping input items in the middle of the
+ *   conversation. - `disabled` (default): If a model response will exceed the
+ *   context window size for a model, the request will fail with a 400 error.
+ */
+data class ResponseProperties(
+
+    /* The unique ID of the previous response to the model. Use this to create multi-turn conversations. Learn more about  [conversation state](/docs/guides/conversation-state).  */
+    @Json(name = "previous_response_id")
+    val previousResponseId: kotlin.String? = null,
+    @Json(name = "model") val model: ModelIdsResponses? = null,
+    @Json(name = "reasoning") val reasoning: Reasoning? = null,
+
+    /* An upper bound for the number of tokens that can be generated for a response, including visible output tokens and [reasoning tokens](/docs/guides/reasoning).  */
+    @Json(name = "max_output_tokens") val maxOutputTokens: kotlin.Int? = null,
+
+    /* Inserts a system (or developer) message as the first item in the model's context.  When using along with `previous_response_id`, the instructions from a previous response will be not be carried over to the next response. This makes it simple to swap out system (or developer) messages in new responses.  */
+    @Json(name = "instructions") val instructions: kotlin.String? = null,
+    @Json(name = "text") val text: ResponsePropertiesText? = null,
+
+    /* An array of tools the model may call while generating a response. You  can specify which tool to use by setting the `tool_choice` parameter.  The two categories of tools you can provide the model are:  - **Built-in tools**: Tools that are provided by OpenAI that extend the   model's capabilities, like [web search](/docs/guides/tools-web-search)   or [file search](/docs/guides/tools-file-search). Learn more about   [built-in tools](/docs/guides/tools). - **Function calls (custom tools)**: Functions that are defined by you,   enabling the model to call your own code. Learn more about   [function calling](/docs/guides/function-calling).  */
+    @Json(name = "tools") val tools: kotlin.collections.List<Tool>? = null,
+    @Json(name = "tool_choice")
+    val toolChoice: ResponsePropertiesToolChoice? = null,
+
+    /* The truncation strategy to use for the model response. - `auto`: If the context of this response and previous ones exceeds   the model's context window size, the model will truncate the    response to fit the context window by dropping input items in the   middle of the conversation.  - `disabled` (default): If a model response will exceed the context window    size for a model, the request will fail with a 400 error.  */
+    @Json(name = "truncation")
+    val truncation: ResponseProperties.Truncation? = Truncation.disabled,
+) {
+
+    /**
+     * The truncation strategy to use for the model response. - `auto`: If the
+     * context of this response and previous ones exceeds the model's context
+     * window size, the model will truncate the response to fit the context
+     * window by dropping input items in the middle of the conversation. -
+     * `disabled` (default): If a model response will exceed the context window
+     * size for a model, the request will fail with a 400 error.
+     *
+     * Values: auto,disabled
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Truncation(val value: kotlin.String) {
+        @Json(name = "auto") auto("auto"),
+        @Json(name = "disabled") disabled("disabled"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponsePropertiesText.kt b/lib/src/main/kotlin/com/openai/models/ResponsePropertiesText.kt
new file mode 100644
index 00000000..db7507c0
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponsePropertiesText.kt
@@ -0,0 +1,25 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+
+/**
+ * Configuration options for a text response from the model. Can be plain text
+ * or structured JSON data. Learn more: - [Text inputs and
+ * outputs](/docs/guides/text) - [Structured Outputs](/docs/guides/structured-outputs)
+ *
+ * @param format
+ */
+data class ResponsePropertiesText(
+    @Json(name = "format") val format: TextResponseFormatConfiguration? = null
+) {}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponsePropertiesToolChoice.kt b/lib/src/main/kotlin/com/openai/models/ResponsePropertiesToolChoice.kt
new file mode 100644
index 00000000..7b058ec7
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponsePropertiesToolChoice.kt
@@ -0,0 +1,55 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * How the model should select which tool (or tools) to use when generating a
+ * response. See the `tools` parameter to see how to specify which tools the
+ * model can call.
+ *
+ * @param type The type of hosted tool the model should to use. Learn more about
+ *   [built-in tools](/docs/guides/tools). Allowed values are: - `file_search` -
+ *   `web_search_preview` - `computer_use_preview`
+ * @param name The name of the function to call.
+ */
+data class ResponsePropertiesToolChoice(
+
+    /* The type of hosted tool the model should to use. Learn more about [built-in tools](/docs/guides/tools).  Allowed values are: - `file_search` - `web_search_preview` - `computer_use_preview`  */
+    @Json(name = "type") val type: ResponsePropertiesToolChoice.Type,
+
+    /* The name of the function to call. */
+    @Json(name = "name") val name: kotlin.String,
+) {
+
+    /**
+     * The type of hosted tool the model should to use. Learn more about
+     * [built-in tools](/docs/guides/tools). Allowed values are: -
+     * `file_search` - `web_search_preview` - `computer_use_preview`
+     *
+     * Values:
+     * file_search,web_search_preview,computer_use_preview,web_search_preview_2025_03_11,function
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "file_search") file_search("file_search"),
+        @Json(name = "web_search_preview")
+        web_search_preview("web_search_preview"),
+        @Json(name = "computer_use_preview")
+        computer_use_preview("computer_use_preview"),
+        @Json(name = "web_search_preview_2025_03_11")
+        web_search_preview_2025_03_11("web_search_preview_2025_03_11"),
+        @Json(name = "function") function("function"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseRefusalDeltaEvent.kt b/lib/src/main/kotlin/com/openai/models/ResponseRefusalDeltaEvent.kt
new file mode 100644
index 00000000..5d338775
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseRefusalDeltaEvent.kt
@@ -0,0 +1,56 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Emitted when there is a partial refusal text.
+ *
+ * @param type The type of the event. Always `response.refusal.delta`.
+ * @param itemId The ID of the output item that the refusal text is added to.
+ * @param outputIndex The index of the output item that the refusal text is
+ *   added to.
+ * @param contentIndex The index of the content part that the refusal text is
+ *   added to.
+ * @param delta The refusal text that is added.
+ */
+data class ResponseRefusalDeltaEvent(
+
+    /* The type of the event. Always `response.refusal.delta`.  */
+    @Json(name = "type") val type: ResponseRefusalDeltaEvent.Type,
+
+    /* The ID of the output item that the refusal text is added to.  */
+    @Json(name = "item_id") val itemId: kotlin.String,
+
+    /* The index of the output item that the refusal text is added to.  */
+    @Json(name = "output_index") val outputIndex: kotlin.Int,
+
+    /* The index of the content part that the refusal text is added to.  */
+    @Json(name = "content_index") val contentIndex: kotlin.Int,
+
+    /* The refusal text that is added.  */
+    @Json(name = "delta") val delta: kotlin.String,
+) {
+
+    /**
+     * The type of the event. Always `response.refusal.delta`.
+     *
+     * Values: responsePeriodRefusalPeriodDelta
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "response.refusal.delta")
+        responsePeriodRefusalPeriodDelta("response.refusal.delta")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseRefusalDoneEvent.kt b/lib/src/main/kotlin/com/openai/models/ResponseRefusalDoneEvent.kt
new file mode 100644
index 00000000..1ce3c8e1
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseRefusalDoneEvent.kt
@@ -0,0 +1,56 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Emitted when refusal text is finalized.
+ *
+ * @param type The type of the event. Always `response.refusal.done`.
+ * @param itemId The ID of the output item that the refusal text is finalized.
+ * @param outputIndex The index of the output item that the refusal text is
+ *   finalized.
+ * @param contentIndex The index of the content part that the refusal text is
+ *   finalized.
+ * @param refusal The refusal text that is finalized.
+ */
+data class ResponseRefusalDoneEvent(
+
+    /* The type of the event. Always `response.refusal.done`.  */
+    @Json(name = "type") val type: ResponseRefusalDoneEvent.Type,
+
+    /* The ID of the output item that the refusal text is finalized.  */
+    @Json(name = "item_id") val itemId: kotlin.String,
+
+    /* The index of the output item that the refusal text is finalized.  */
+    @Json(name = "output_index") val outputIndex: kotlin.Int,
+
+    /* The index of the content part that the refusal text is finalized.  */
+    @Json(name = "content_index") val contentIndex: kotlin.Int,
+
+    /* The refusal text that is finalized.  */
+    @Json(name = "refusal") val refusal: kotlin.String,
+) {
+
+    /**
+     * The type of the event. Always `response.refusal.done`.
+     *
+     * Values: responsePeriodRefusalPeriodDone
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "response.refusal.done")
+        responsePeriodRefusalPeriodDone("response.refusal.done")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseStreamEvent.kt b/lib/src/main/kotlin/com/openai/models/ResponseStreamEvent.kt
new file mode 100644
index 00000000..f9249134
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseStreamEvent.kt
@@ -0,0 +1,175 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * @param type The type of the event. Always `response.audio.delta`.
+ * @param delta The text delta that was added.
+ * @param outputIndex The index of the output item that the web search call is
+ *   associated with.
+ * @param code The error code.
+ * @param codeInterpreterCall
+ * @param response
+ * @param itemId Unique ID for the output item associated with the web search
+ *   call.
+ * @param contentIndex The index of the content part that the text content is
+ *   finalized.
+ * @param part
+ * @param message The error message.
+ * @param `param` The error parameter.
+ * @param arguments The function-call arguments.
+ * @param item
+ * @param refusal The refusal text that is finalized.
+ * @param annotationIndex The index of the annotation that was added.
+ * @param `annotation`
+ * @param text The text content that is finalized.
+ */
+interface ResponseStreamEvent {
+
+    /* The type of the event. Always `response.audio.delta`.  */
+    @Json(name = "type") val type: ResponseStreamEvent.Type
+    /* The text delta that was added.  */
+    @Json(name = "delta") val delta: kotlin.String
+    /* The index of the output item that the web search call is associated with.  */
+    @Json(name = "output_index") val outputIndex: kotlin.Int
+    /* The error code.  */
+    @Json(name = "code") val code: kotlin.String?
+    @Json(name = "code_interpreter_call")
+    val codeInterpreterCall: CodeInterpreterToolCall
+    @Json(name = "response") val response: Response
+    /* Unique ID for the output item associated with the web search call.  */
+    @Json(name = "item_id") val itemId: kotlin.String
+    /* The index of the content part that the text content is finalized.  */
+    @Json(name = "content_index") val contentIndex: kotlin.Int
+    @Json(name = "part") val part: OutputContent
+    /* The error message.  */
+    @Json(name = "message") val message: kotlin.String
+    /* The error parameter.  */
+    @Json(name = "param") val `param`: kotlin.String?
+    /* The function-call arguments. */
+    @Json(name = "arguments") val arguments: kotlin.String
+    @Json(name = "item") val item: OutputItem
+    /* The refusal text that is finalized.  */
+    @Json(name = "refusal") val refusal: kotlin.String
+    /* The index of the annotation that was added.  */
+    @Json(name = "annotation_index") val annotationIndex: kotlin.Int
+    @Json(name = "annotation") val `annotation`: Annotation
+    /* The text content that is finalized.  */
+    @Json(name = "text") val text: kotlin.String
+
+    /**
+     * The type of the event. Always `response.audio.delta`.
+     *
+     * Values:
+     * responsePeriodAudioPeriodDelta,responsePeriodAudioPeriodDone,responsePeriodAudioPeriodTranscriptPeriodDelta,responsePeriodAudioPeriodTranscriptPeriodDone,responsePeriodCode_interpreter_callPeriodCodePeriodDelta,responsePeriodCode_interpreter_callPeriodCodePeriodDone,responsePeriodCode_interpreter_callPeriodCompleted,responsePeriodCode_interpreter_callPeriodIn_progress,responsePeriodCode_interpreter_callPeriodInterpreting,responsePeriodCompleted,responsePeriodContent_partPeriodAdded,responsePeriodContent_partPeriodDone,responsePeriodCreated,error,responsePeriodFile_search_callPeriodCompleted,responsePeriodFile_search_callPeriodIn_progress,responsePeriodFile_search_callPeriodSearching,responsePeriodFunction_call_argumentsPeriodDelta,responsePeriodFunction_call_argumentsPeriodDone,responsePeriodIn_progress,responsePeriodFailed,responsePeriodIncomplete,responsePeriodOutput_itemPeriodAdded,responsePeriodOutput_itemPeriodDone,responsePeriodRefusalPeriodDelta,responsePeriodRefusalPeriodDone,responsePeriodOutput_textPeriodAnnotationPeriodAdded,responsePeriodOutput_textPeriodDelta,responsePeriodOutput_textPeriodDone,responsePeriodWeb_search_callPeriodCompleted,responsePeriodWeb_search_callPeriodIn_progress,responsePeriodWeb_search_callPeriodSearching
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "response.audio.delta")
+        responsePeriodAudioPeriodDelta("response.audio.delta"),
+        @Json(name = "response.audio.done")
+        responsePeriodAudioPeriodDone("response.audio.done"),
+        @Json(name = "response.audio.transcript.delta")
+        responsePeriodAudioPeriodTranscriptPeriodDelta(
+            "response.audio.transcript.delta"
+        ),
+        @Json(name = "response.audio.transcript.done")
+        responsePeriodAudioPeriodTranscriptPeriodDone(
+            "response.audio.transcript.done"
+        ),
+        @Json(name = "response.code_interpreter_call.code.delta")
+        responsePeriodCode_interpreter_callPeriodCodePeriodDelta(
+            "response.code_interpreter_call.code.delta"
+        ),
+        @Json(name = "response.code_interpreter_call.code.done")
+        responsePeriodCode_interpreter_callPeriodCodePeriodDone(
+            "response.code_interpreter_call.code.done"
+        ),
+        @Json(name = "response.code_interpreter_call.completed")
+        responsePeriodCode_interpreter_callPeriodCompleted(
+            "response.code_interpreter_call.completed"
+        ),
+        @Json(name = "response.code_interpreter_call.in_progress")
+        responsePeriodCode_interpreter_callPeriodIn_progress(
+            "response.code_interpreter_call.in_progress"
+        ),
+        @Json(name = "response.code_interpreter_call.interpreting")
+        responsePeriodCode_interpreter_callPeriodInterpreting(
+            "response.code_interpreter_call.interpreting"
+        ),
+        @Json(name = "response.completed")
+        responsePeriodCompleted("response.completed"),
+        @Json(name = "response.content_part.added")
+        responsePeriodContent_partPeriodAdded("response.content_part.added"),
+        @Json(name = "response.content_part.done")
+        responsePeriodContent_partPeriodDone("response.content_part.done"),
+        @Json(name = "response.created")
+        responsePeriodCreated("response.created"),
+        @Json(name = "error") error("error"),
+        @Json(name = "response.file_search_call.completed")
+        responsePeriodFile_search_callPeriodCompleted(
+            "response.file_search_call.completed"
+        ),
+        @Json(name = "response.file_search_call.in_progress")
+        responsePeriodFile_search_callPeriodIn_progress(
+            "response.file_search_call.in_progress"
+        ),
+        @Json(name = "response.file_search_call.searching")
+        responsePeriodFile_search_callPeriodSearching(
+            "response.file_search_call.searching"
+        ),
+        @Json(name = "response.function_call_arguments.delta")
+        responsePeriodFunction_call_argumentsPeriodDelta(
+            "response.function_call_arguments.delta"
+        ),
+        @Json(name = "response.function_call_arguments.done")
+        responsePeriodFunction_call_argumentsPeriodDone(
+            "response.function_call_arguments.done"
+        ),
+        @Json(name = "response.in_progress")
+        responsePeriodIn_progress("response.in_progress"),
+        @Json(name = "response.failed") responsePeriodFailed("response.failed"),
+        @Json(name = "response.incomplete")
+        responsePeriodIncomplete("response.incomplete"),
+        @Json(name = "response.output_item.added")
+        responsePeriodOutput_itemPeriodAdded("response.output_item.added"),
+        @Json(name = "response.output_item.done")
+        responsePeriodOutput_itemPeriodDone("response.output_item.done"),
+        @Json(name = "response.refusal.delta")
+        responsePeriodRefusalPeriodDelta("response.refusal.delta"),
+        @Json(name = "response.refusal.done")
+        responsePeriodRefusalPeriodDone("response.refusal.done"),
+        @Json(name = "response.output_text.annotation.added")
+        responsePeriodOutput_textPeriodAnnotationPeriodAdded(
+            "response.output_text.annotation.added"
+        ),
+        @Json(name = "response.output_text.delta")
+        responsePeriodOutput_textPeriodDelta("response.output_text.delta"),
+        @Json(name = "response.output_text.done")
+        responsePeriodOutput_textPeriodDone("response.output_text.done"),
+        @Json(name = "response.web_search_call.completed")
+        responsePeriodWeb_search_callPeriodCompleted(
+            "response.web_search_call.completed"
+        ),
+        @Json(name = "response.web_search_call.in_progress")
+        responsePeriodWeb_search_callPeriodIn_progress(
+            "response.web_search_call.in_progress"
+        ),
+        @Json(name = "response.web_search_call.searching")
+        responsePeriodWeb_search_callPeriodSearching(
+            "response.web_search_call.searching"
+        ),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseTextAnnotationDeltaEvent.kt b/lib/src/main/kotlin/com/openai/models/ResponseTextAnnotationDeltaEvent.kt
new file mode 100644
index 00000000..231efb22
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseTextAnnotationDeltaEvent.kt
@@ -0,0 +1,62 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Emitted when a text annotation is added.
+ *
+ * @param type The type of the event. Always
+ *   `response.output_text.annotation.added`.
+ * @param itemId The ID of the output item that the text annotation was added
+ *   to.
+ * @param outputIndex The index of the output item that the text annotation was
+ *   added to.
+ * @param contentIndex The index of the content part that the text annotation
+ *   was added to.
+ * @param annotationIndex The index of the annotation that was added.
+ * @param `annotation`
+ */
+data class ResponseTextAnnotationDeltaEvent(
+
+    /* The type of the event. Always `response.output_text.annotation.added`.  */
+    @Json(name = "type") val type: ResponseTextAnnotationDeltaEvent.Type,
+
+    /* The ID of the output item that the text annotation was added to.  */
+    @Json(name = "item_id") val itemId: kotlin.String,
+
+    /* The index of the output item that the text annotation was added to.  */
+    @Json(name = "output_index") val outputIndex: kotlin.Int,
+
+    /* The index of the content part that the text annotation was added to.  */
+    @Json(name = "content_index") val contentIndex: kotlin.Int,
+
+    /* The index of the annotation that was added.  */
+    @Json(name = "annotation_index") val annotationIndex: kotlin.Int,
+    @Json(name = "annotation") val `annotation`: Annotation,
+) {
+
+    /**
+     * The type of the event. Always `response.output_text.annotation.added`.
+     *
+     * Values: responsePeriodOutput_textPeriodAnnotationPeriodAdded
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "response.output_text.annotation.added")
+        responsePeriodOutput_textPeriodAnnotationPeriodAdded(
+            "response.output_text.annotation.added"
+        )
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseTextDeltaEvent.kt b/lib/src/main/kotlin/com/openai/models/ResponseTextDeltaEvent.kt
new file mode 100644
index 00000000..15b6a978
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseTextDeltaEvent.kt
@@ -0,0 +1,56 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Emitted when there is an additional text delta.
+ *
+ * @param type The type of the event. Always `response.output_text.delta`.
+ * @param itemId The ID of the output item that the text delta was added to.
+ * @param outputIndex The index of the output item that the text delta was added
+ *   to.
+ * @param contentIndex The index of the content part that the text delta was
+ *   added to.
+ * @param delta The text delta that was added.
+ */
+data class ResponseTextDeltaEvent(
+
+    /* The type of the event. Always `response.output_text.delta`.  */
+    @Json(name = "type") val type: ResponseTextDeltaEvent.Type,
+
+    /* The ID of the output item that the text delta was added to.  */
+    @Json(name = "item_id") val itemId: kotlin.String,
+
+    /* The index of the output item that the text delta was added to.  */
+    @Json(name = "output_index") val outputIndex: kotlin.Int,
+
+    /* The index of the content part that the text delta was added to.  */
+    @Json(name = "content_index") val contentIndex: kotlin.Int,
+
+    /* The text delta that was added.  */
+    @Json(name = "delta") val delta: kotlin.String,
+) {
+
+    /**
+     * The type of the event. Always `response.output_text.delta`.
+     *
+     * Values: responsePeriodOutput_textPeriodDelta
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "response.output_text.delta")
+        responsePeriodOutput_textPeriodDelta("response.output_text.delta")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseTextDoneEvent.kt b/lib/src/main/kotlin/com/openai/models/ResponseTextDoneEvent.kt
new file mode 100644
index 00000000..c2a34f8c
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseTextDoneEvent.kt
@@ -0,0 +1,56 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Emitted when text content is finalized.
+ *
+ * @param type The type of the event. Always `response.output_text.done`.
+ * @param itemId The ID of the output item that the text content is finalized.
+ * @param outputIndex The index of the output item that the text content is
+ *   finalized.
+ * @param contentIndex The index of the content part that the text content is
+ *   finalized.
+ * @param text The text content that is finalized.
+ */
+data class ResponseTextDoneEvent(
+
+    /* The type of the event. Always `response.output_text.done`.  */
+    @Json(name = "type") val type: ResponseTextDoneEvent.Type,
+
+    /* The ID of the output item that the text content is finalized.  */
+    @Json(name = "item_id") val itemId: kotlin.String,
+
+    /* The index of the output item that the text content is finalized.  */
+    @Json(name = "output_index") val outputIndex: kotlin.Int,
+
+    /* The index of the content part that the text content is finalized.  */
+    @Json(name = "content_index") val contentIndex: kotlin.Int,
+
+    /* The text content that is finalized.  */
+    @Json(name = "text") val text: kotlin.String,
+) {
+
+    /**
+     * The type of the event. Always `response.output_text.done`.
+     *
+     * Values: responsePeriodOutput_textPeriodDone
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "response.output_text.done")
+        responsePeriodOutput_textPeriodDone("response.output_text.done")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseUsage.kt b/lib/src/main/kotlin/com/openai/models/ResponseUsage.kt
new file mode 100644
index 00000000..04f6957f
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseUsage.kt
@@ -0,0 +1,40 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+
+/**
+ * Represents token usage details including input tokens, output tokens, a
+ * breakdown of output tokens, and the total tokens used.
+ *
+ * @param inputTokens The number of input tokens.
+ * @param inputTokensDetails
+ * @param outputTokens The number of output tokens.
+ * @param outputTokensDetails
+ * @param totalTokens The total number of tokens used.
+ */
+data class ResponseUsage(
+
+    /* The number of input tokens. */
+    @Json(name = "input_tokens") val inputTokens: kotlin.Int,
+    @Json(name = "input_tokens_details")
+    val inputTokensDetails: ResponseUsageInputTokensDetails,
+
+    /* The number of output tokens. */
+    @Json(name = "output_tokens") val outputTokens: kotlin.Int,
+    @Json(name = "output_tokens_details")
+    val outputTokensDetails: ResponseUsageOutputTokensDetails,
+
+    /* The total number of tokens used. */
+    @Json(name = "total_tokens") val totalTokens: kotlin.Int,
+) {}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseUsageInputTokensDetails.kt b/lib/src/main/kotlin/com/openai/models/ResponseUsageInputTokensDetails.kt
new file mode 100644
index 00000000..42dba22e
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseUsageInputTokensDetails.kt
@@ -0,0 +1,26 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+
+/**
+ * A detailed breakdown of the input tokens.
+ *
+ * @param cachedTokens The number of tokens that were retrieved from the cache.
+ *   [More on prompt caching](/docs/guides/prompt-caching).
+ */
+data class ResponseUsageInputTokensDetails(
+
+    /* The number of tokens that were retrieved from the cache.  [More on prompt caching](/docs/guides/prompt-caching).  */
+    @Json(name = "cached_tokens") val cachedTokens: kotlin.Int
+) {}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseUsageOutputTokensDetails.kt b/lib/src/main/kotlin/com/openai/models/ResponseUsageOutputTokensDetails.kt
new file mode 100644
index 00000000..b19a10be
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseUsageOutputTokensDetails.kt
@@ -0,0 +1,25 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+
+/**
+ * A detailed breakdown of the output tokens.
+ *
+ * @param reasoningTokens The number of reasoning tokens.
+ */
+data class ResponseUsageOutputTokensDetails(
+
+    /* The number of reasoning tokens. */
+    @Json(name = "reasoning_tokens") val reasoningTokens: kotlin.Int
+) {}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseWebSearchCallCompletedEvent.kt b/lib/src/main/kotlin/com/openai/models/ResponseWebSearchCallCompletedEvent.kt
new file mode 100644
index 00000000..64af9e6e
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseWebSearchCallCompletedEvent.kt
@@ -0,0 +1,51 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Emitted when a web search call is completed.
+ *
+ * @param type The type of the event. Always
+ *   `response.web_search_call.completed`.
+ * @param outputIndex The index of the output item that the web search call is
+ *   associated with.
+ * @param itemId Unique ID for the output item associated with the web search
+ *   call.
+ */
+data class ResponseWebSearchCallCompletedEvent(
+
+    /* The type of the event. Always `response.web_search_call.completed`.  */
+    @Json(name = "type") val type: ResponseWebSearchCallCompletedEvent.Type,
+
+    /* The index of the output item that the web search call is associated with.  */
+    @Json(name = "output_index") val outputIndex: kotlin.Int,
+
+    /* Unique ID for the output item associated with the web search call.  */
+    @Json(name = "item_id") val itemId: kotlin.String,
+) {
+
+    /**
+     * The type of the event. Always `response.web_search_call.completed`.
+     *
+     * Values: responsePeriodWeb_search_callPeriodCompleted
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "response.web_search_call.completed")
+        responsePeriodWeb_search_callPeriodCompleted(
+            "response.web_search_call.completed"
+        )
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseWebSearchCallInProgressEvent.kt b/lib/src/main/kotlin/com/openai/models/ResponseWebSearchCallInProgressEvent.kt
new file mode 100644
index 00000000..006d0e3a
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseWebSearchCallInProgressEvent.kt
@@ -0,0 +1,51 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Emitted when a web search call is initiated.
+ *
+ * @param type The type of the event. Always
+ *   `response.web_search_call.in_progress`.
+ * @param outputIndex The index of the output item that the web search call is
+ *   associated with.
+ * @param itemId Unique ID for the output item associated with the web search
+ *   call.
+ */
+data class ResponseWebSearchCallInProgressEvent(
+
+    /* The type of the event. Always `response.web_search_call.in_progress`.  */
+    @Json(name = "type") val type: ResponseWebSearchCallInProgressEvent.Type,
+
+    /* The index of the output item that the web search call is associated with.  */
+    @Json(name = "output_index") val outputIndex: kotlin.Int,
+
+    /* Unique ID for the output item associated with the web search call.  */
+    @Json(name = "item_id") val itemId: kotlin.String,
+) {
+
+    /**
+     * The type of the event. Always `response.web_search_call.in_progress`.
+     *
+     * Values: responsePeriodWeb_search_callPeriodIn_progress
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "response.web_search_call.in_progress")
+        responsePeriodWeb_search_callPeriodIn_progress(
+            "response.web_search_call.in_progress"
+        )
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ResponseWebSearchCallSearchingEvent.kt b/lib/src/main/kotlin/com/openai/models/ResponseWebSearchCallSearchingEvent.kt
new file mode 100644
index 00000000..f55c3d69
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ResponseWebSearchCallSearchingEvent.kt
@@ -0,0 +1,51 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Emitted when a web search call is executing.
+ *
+ * @param type The type of the event. Always
+ *   `response.web_search_call.searching`.
+ * @param outputIndex The index of the output item that the web search call is
+ *   associated with.
+ * @param itemId Unique ID for the output item associated with the web search
+ *   call.
+ */
+data class ResponseWebSearchCallSearchingEvent(
+
+    /* The type of the event. Always `response.web_search_call.searching`.  */
+    @Json(name = "type") val type: ResponseWebSearchCallSearchingEvent.Type,
+
+    /* The index of the output item that the web search call is associated with.  */
+    @Json(name = "output_index") val outputIndex: kotlin.Int,
+
+    /* Unique ID for the output item associated with the web search call.  */
+    @Json(name = "item_id") val itemId: kotlin.String,
+) {
+
+    /**
+     * The type of the event. Always `response.web_search_call.searching`.
+     *
+     * Values: responsePeriodWeb_search_callPeriodSearching
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "response.web_search_call.searching")
+        responsePeriodWeb_search_callPeriodSearching(
+            "response.web_search_call.searching"
+        )
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/RunObject.kt b/lib/src/main/kotlin/com/openai/models/RunObject.kt
index b169c96e..3629a8a4 100644
--- a/lib/src/main/kotlin/com/openai/models/RunObject.kt
+++ b/lib/src/main/kotlin/com/openai/models/RunObject.kt
@@ -136,7 +136,7 @@ data class RunObject(
     @Json(name = "parallel_tool_calls")
     val parallelToolCalls: kotlin.Boolean = true,
     @Json(name = "response_format")
-    val responseFormat: AssistantObjectResponseFormat,
+    val responseFormat: AssistantsApiResponseFormatOption,
 
     /* The sampling temperature used for this run. If not set, defaults to 1. */
     @Json(name = "temperature") val temperature: java.math.BigDecimal? = null,
diff --git a/lib/src/main/kotlin/com/openai/models/RunObjectIncompleteDetails.kt b/lib/src/main/kotlin/com/openai/models/RunObjectIncompleteDetails.kt
index 256edad9..68b7a809 100644
--- a/lib/src/main/kotlin/com/openai/models/RunObjectIncompleteDetails.kt
+++ b/lib/src/main/kotlin/com/openai/models/RunObjectIncompleteDetails.kt
@@ -31,12 +31,12 @@ data class RunObjectIncompleteDetails(
      * The reason why the run is incomplete. This will point to which specific
      * token limit was reached over the course of the run.
      *
-     * Values: completion_tokens,prompt_tokens
+     * Values: max_completion_tokens,max_prompt_tokens
      */
     @JsonClass(generateAdapter = false)
     enum class Reason(val value: kotlin.String) {
         @Json(name = "max_completion_tokens")
-        completion_tokens("max_completion_tokens"),
-        @Json(name = "max_prompt_tokens") prompt_tokens("max_prompt_tokens"),
+        max_completion_tokens("max_completion_tokens"),
+        @Json(name = "max_prompt_tokens") max_prompt_tokens("max_prompt_tokens"),
     }
 }
diff --git a/lib/src/main/kotlin/com/openai/models/RunStepDetailsToolCallsFileSearchRankingOptionsObject.kt b/lib/src/main/kotlin/com/openai/models/RunStepDetailsToolCallsFileSearchRankingOptionsObject.kt
index 7c2ae8b5..071a7337 100644
--- a/lib/src/main/kotlin/com/openai/models/RunStepDetailsToolCallsFileSearchRankingOptionsObject.kt
+++ b/lib/src/main/kotlin/com/openai/models/RunStepDetailsToolCallsFileSearchRankingOptionsObject.kt
@@ -12,33 +12,17 @@
 package com.openai.models
 
 import com.squareup.moshi.Json
-import com.squareup.moshi.JsonClass
 
 /**
  * The ranking options for the file search.
  *
- * @param ranker The ranker used for the file search.
+ * @param ranker
  * @param scoreThreshold The score threshold for the file search. All values
  *   must be a floating point number between 0 and 1.
  */
 data class RunStepDetailsToolCallsFileSearchRankingOptionsObject(
-
-    /* The ranker used for the file search. */
-    @Json(name = "ranker")
-    val ranker: RunStepDetailsToolCallsFileSearchRankingOptionsObject.Ranker,
+    @Json(name = "ranker") val ranker: FileSearchRanker,
 
     /* The score threshold for the file search. All values must be a floating point number between 0 and 1. */
     @Json(name = "score_threshold") val scoreThreshold: java.math.BigDecimal,
-) {
-
-    /**
-     * The ranker used for the file search.
-     *
-     * Values: default_2024_08_21
-     */
-    @JsonClass(generateAdapter = false)
-    enum class Ranker(val value: kotlin.String) {
-        @Json(name = "default_2024_08_21")
-        default_2024_08_21("default_2024_08_21")
-    }
-}
+) {}
diff --git a/lib/src/main/kotlin/com/openai/models/Screenshot.kt b/lib/src/main/kotlin/com/openai/models/Screenshot.kt
new file mode 100644
index 00000000..9a5ad57b
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/Screenshot.kt
@@ -0,0 +1,39 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * A screenshot action.
+ *
+ * @param type Specifies the event type. For a screenshot action, this property
+ *   is always set to `screenshot`.
+ */
+data class Screenshot(
+
+    /* Specifies the event type. For a screenshot action, this property is  always set to `screenshot`.  */
+    @Json(name = "type") val type: Screenshot.Type = Type.screenshot
+) {
+
+    /**
+     * Specifies the event type. For a screenshot action, this property is
+     * always set to `screenshot`.
+     *
+     * Values: screenshot
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "screenshot") screenshot("screenshot")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/Scroll.kt b/lib/src/main/kotlin/com/openai/models/Scroll.kt
new file mode 100644
index 00000000..085b9ebe
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/Scroll.kt
@@ -0,0 +1,55 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * A scroll action.
+ *
+ * @param type Specifies the event type. For a scroll action, this property is
+ *   always set to `scroll`.
+ * @param x The x-coordinate where the scroll occurred.
+ * @param y The y-coordinate where the scroll occurred.
+ * @param scrollX The horizontal scroll distance.
+ * @param scrollY The vertical scroll distance.
+ */
+data class Scroll(
+
+    /* Specifies the event type. For a scroll action, this property is  always set to `scroll`.  */
+    @Json(name = "type") val type: Scroll.Type = Type.scroll,
+
+    /* The x-coordinate where the scroll occurred.  */
+    @Json(name = "x") val x: kotlin.Int,
+
+    /* The y-coordinate where the scroll occurred.  */
+    @Json(name = "y") val y: kotlin.Int,
+
+    /* The horizontal scroll distance.  */
+    @Json(name = "scroll_x") val scrollX: kotlin.Int,
+
+    /* The vertical scroll distance.  */
+    @Json(name = "scroll_y") val scrollY: kotlin.Int,
+) {
+
+    /**
+     * Specifies the event type. For a scroll action, this property is always
+     * set to `scroll`.
+     *
+     * Values: scroll
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "scroll") scroll("scroll")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/StaticChunkingStrategyRequestParam.kt b/lib/src/main/kotlin/com/openai/models/StaticChunkingStrategyRequestParam.kt
index 9c0f9277..c1db7d78 100644
--- a/lib/src/main/kotlin/com/openai/models/StaticChunkingStrategyRequestParam.kt
+++ b/lib/src/main/kotlin/com/openai/models/StaticChunkingStrategyRequestParam.kt
@@ -15,6 +15,8 @@ import com.squareup.moshi.Json
 import com.squareup.moshi.JsonClass
 
 /**
+ * Customize your own chunking strategy by setting chunk size and chunk overlap.
+ *
  * @param type Always `static`.
  * @param static
  */
diff --git a/lib/src/main/kotlin/com/openai/models/CreateCompletionRequestStop.kt b/lib/src/main/kotlin/com/openai/models/StopConfiguration.kt
similarity index 91%
rename from lib/src/main/kotlin/com/openai/models/CreateCompletionRequestStop.kt
rename to lib/src/main/kotlin/com/openai/models/StopConfiguration.kt
index 9a4e7e8c..764d6a79 100644
--- a/lib/src/main/kotlin/com/openai/models/CreateCompletionRequestStop.kt
+++ b/lib/src/main/kotlin/com/openai/models/StopConfiguration.kt
@@ -15,4 +15,4 @@ package com.openai.models
  * Up to 4 sequences where the API will stop generating further tokens. The
  * returned text will not contain the stop sequence.
  */
-class CreateCompletionRequestStop() {}
+class StopConfiguration() {}
diff --git a/lib/src/main/kotlin/com/openai/models/TextResponseFormatConfiguration.kt b/lib/src/main/kotlin/com/openai/models/TextResponseFormatConfiguration.kt
new file mode 100644
index 00000000..47c1ef52
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/TextResponseFormatConfiguration.kt
@@ -0,0 +1,71 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * An object specifying the format that the model must output. Configuring `{
+ * \"type\": \"json_schema\" }` enables Structured Outputs, which ensures the
+ * model will match your supplied JSON schema. Learn more in the
+ * [Structured Outputs guide](/docs/guides/structured-outputs). The default
+ * format is `{ \"type\": \"text\" }` with no additional options. **Not
+ * recommended for gpt-4o and newer models:** Setting to `{ \"type\":
+ * \"json_object\" }` enables the older JSON mode, which ensures the message the
+ * model generates is valid JSON. Using `json_schema` is preferred for models
+ * that support it.
+ *
+ * @param type The type of response format being defined. Always `text`.
+ * @param schema The schema for the response format, described as a JSON Schema
+ *   object. Learn how to build JSON schemas [here](https://json-schema.org/).
+ * @param description A description of what the response format is for, used by
+ *   the model to determine how to respond in the format.
+ * @param name The name of the response format. Must be a-z, A-Z, 0-9, or
+ *   contain underscores and dashes, with a maximum length of 64.
+ * @param strict Whether to enable strict schema adherence when generating the
+ *   output. If set to true, the model will always follow the exact schema
+ *   defined in the `schema` field. Only a subset of JSON Schema is supported
+ *   when `strict` is `true`. To learn more, read the
+ *   [Structured Outputs guide](/docs/guides/structured-outputs).
+ */
+data class TextResponseFormatConfiguration(
+
+    /* The type of response format being defined. Always `text`. */
+    @Json(name = "type") val type: TextResponseFormatConfiguration.Type,
+
+    /* The schema for the response format, described as a JSON Schema object. Learn how to build JSON schemas [here](https://json-schema.org/).  */
+    @Json(name = "schema")
+    val schema: kotlin.collections.Map<kotlin.String, kotlin.Any>,
+
+    /* A description of what the response format is for, used by the model to determine how to respond in the format.  */
+    @Json(name = "description") val description: kotlin.String? = null,
+
+    /* The name of the response format. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64.  */
+    @Json(name = "name") val name: kotlin.String? = null,
+
+    /* Whether to enable strict schema adherence when generating the output. If set to true, the model will always follow the exact schema defined in the `schema` field. Only a subset of JSON Schema is supported when `strict` is `true`. To learn more, read the [Structured Outputs guide](/docs/guides/structured-outputs).  */
+    @Json(name = "strict") val strict: kotlin.Boolean? = false,
+) {
+
+    /**
+     * The type of response format being defined. Always `text`.
+     *
+     * Values: text,json_schema,json_object
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "text") text("text"),
+        @Json(name = "json_schema") json_schema("json_schema"),
+        @Json(name = "json_object") json_object("json_object"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/TextResponseFormatJsonSchema.kt b/lib/src/main/kotlin/com/openai/models/TextResponseFormatJsonSchema.kt
new file mode 100644
index 00000000..380d8427
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/TextResponseFormatJsonSchema.kt
@@ -0,0 +1,62 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * JSON Schema response format. Used to generate structured JSON responses.
+ * Learn more about [Structured Outputs](/docs/guides/structured-outputs).
+ *
+ * @param type The type of response format being defined. Always `json_schema`.
+ * @param schema The schema for the response format, described as a JSON Schema
+ *   object. Learn how to build JSON schemas [here](https://json-schema.org/).
+ * @param description A description of what the response format is for, used by
+ *   the model to determine how to respond in the format.
+ * @param name The name of the response format. Must be a-z, A-Z, 0-9, or
+ *   contain underscores and dashes, with a maximum length of 64.
+ * @param strict Whether to enable strict schema adherence when generating the
+ *   output. If set to true, the model will always follow the exact schema
+ *   defined in the `schema` field. Only a subset of JSON Schema is supported
+ *   when `strict` is `true`. To learn more, read the
+ *   [Structured Outputs guide](/docs/guides/structured-outputs).
+ */
+data class TextResponseFormatJsonSchema(
+
+    /* The type of response format being defined. Always `json_schema`. */
+    @Json(name = "type") val type: TextResponseFormatJsonSchema.Type,
+
+    /* The schema for the response format, described as a JSON Schema object. Learn how to build JSON schemas [here](https://json-schema.org/).  */
+    @Json(name = "schema")
+    val schema: kotlin.collections.Map<kotlin.String, kotlin.Any>,
+
+    /* A description of what the response format is for, used by the model to determine how to respond in the format.  */
+    @Json(name = "description") val description: kotlin.String? = null,
+
+    /* The name of the response format. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64.  */
+    @Json(name = "name") val name: kotlin.String? = null,
+
+    /* Whether to enable strict schema adherence when generating the output. If set to true, the model will always follow the exact schema defined in the `schema` field. Only a subset of JSON Schema is supported when `strict` is `true`. To learn more, read the [Structured Outputs guide](/docs/guides/structured-outputs).  */
+    @Json(name = "strict") val strict: kotlin.Boolean? = false,
+) {
+
+    /**
+     * The type of response format being defined. Always `json_schema`.
+     *
+     * Values: json_schema
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "json_schema") json_schema("json_schema")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/Tool.kt b/lib/src/main/kotlin/com/openai/models/Tool.kt
new file mode 100644
index 00000000..3603bd71
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/Tool.kt
@@ -0,0 +1,108 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * @param type The type of the file search tool. Always `file_search`.
+ * @param vectorStoreIds The IDs of the vector stores to search.
+ * @param name The name of the function to call.
+ * @param parameters A JSON schema object describing the parameters of the
+ *   function.
+ * @param strict Whether to enforce strict parameter validation. Default `true`.
+ * @param displayWidth The width of the computer display.
+ * @param displayHeight The height of the computer display.
+ * @param environment The type of computer environment to control.
+ * @param maxNumResults The maximum number of results to return. This number
+ *   should be between 1 and 50 inclusive.
+ * @param filters
+ * @param rankingOptions
+ * @param description A description of the function. Used by the model to
+ *   determine whether or not to call the function.
+ * @param userLocation
+ * @param searchContextSize
+ */
+data class Tool(
+
+    /* The type of the file search tool. Always `file_search`.  */
+    @Json(name = "type") val type: Tool.Type,
+
+    /* The IDs of the vector stores to search.  */
+    @Json(name = "vector_store_ids")
+    val vectorStoreIds: kotlin.collections.List<kotlin.String>,
+
+    /* The name of the function to call.  */
+    @Json(name = "name") val name: kotlin.String,
+
+    /* A JSON schema object describing the parameters of the function.  */
+    @Json(name = "parameters")
+    val parameters: kotlin.collections.Map<kotlin.String, kotlin.Any>,
+
+    /* Whether to enforce strict parameter validation. Default `true`.  */
+    @Json(name = "strict") val strict: kotlin.Boolean,
+
+    /* The width of the computer display.  */
+    @Json(name = "display_width") val displayWidth: java.math.BigDecimal,
+
+    /* The height of the computer display.  */
+    @Json(name = "display_height") val displayHeight: java.math.BigDecimal,
+
+    /* The type of computer environment to control.  */
+    @Json(name = "environment") val environment: Tool.Environment,
+
+    /* The maximum number of results to return. This number should be between 1  and 50 inclusive.  */
+    @Json(name = "max_num_results") val maxNumResults: kotlin.Int? = null,
+    @Json(name = "filters") val filters: FileSearchToolFilters? = null,
+    @Json(name = "ranking_options")
+    val rankingOptions: FileSearchToolRankingOptions? = null,
+
+    /* A description of the function. Used by the model to determine whether or not to call the function.  */
+    @Json(name = "description") val description: kotlin.String? = null,
+    @Json(name = "user_location")
+    val userLocation: WebSearchToolUserLocation? = null,
+    @Json(name = "search_context_size")
+    val searchContextSize: WebSearchContextSize? = WebSearchContextSize.medium,
+) {
+
+    /**
+     * The type of the file search tool. Always `file_search`.
+     *
+     * Values:
+     * file_search,function,computer_use_preview,web_search_preview,web_search_preview_2025_03_11
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "file_search") file_search("file_search"),
+        @Json(name = "function") function("function"),
+        @Json(name = "computer_use_preview")
+        computer_use_preview("computer_use_preview"),
+        @Json(name = "web_search_preview")
+        web_search_preview("web_search_preview"),
+        @Json(name = "web_search_preview_2025_03_11")
+        web_search_preview_2025_03_11("web_search_preview_2025_03_11"),
+    }
+
+    /**
+     * The type of computer environment to control.
+     *
+     * Values: mac,windows,ubuntu,browser
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Environment(val value: kotlin.String) {
+        @Json(name = "mac") mac("mac"),
+        @Json(name = "windows") windows("windows"),
+        @Json(name = "ubuntu") ubuntu("ubuntu"),
+        @Json(name = "browser") browser("browser"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ToolChoiceFunction.kt b/lib/src/main/kotlin/com/openai/models/ToolChoiceFunction.kt
new file mode 100644
index 00000000..e9688d82
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ToolChoiceFunction.kt
@@ -0,0 +1,41 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Use this option to force the model to call a specific function.
+ *
+ * @param type For function calling, the type is always `function`.
+ * @param name The name of the function to call.
+ */
+data class ToolChoiceFunction(
+
+    /* For function calling, the type is always `function`. */
+    @Json(name = "type") val type: ToolChoiceFunction.Type,
+
+    /* The name of the function to call. */
+    @Json(name = "name") val name: kotlin.String,
+) {
+
+    /**
+     * For function calling, the type is always `function`.
+     *
+     * Values: function
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "function") function("function")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ToolChoiceOptions.kt b/lib/src/main/kotlin/com/openai/models/ToolChoiceOptions.kt
new file mode 100644
index 00000000..1159dd27
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ToolChoiceOptions.kt
@@ -0,0 +1,59 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Controls which (if any) tool is called by the model. `none` means the model
+ * will not call any tool and instead generates a message. `auto` means the
+ * model can pick between generating a message or calling one or more tools.
+ * `required` means the model must call one or more tools.
+ *
+ * Values: none,auto,required
+ */
+@JsonClass(generateAdapter = false)
+enum class ToolChoiceOptions(val value: kotlin.String) {
+
+    @Json(name = "none") none("none"),
+    @Json(name = "auto") auto("auto"),
+    @Json(name = "required") required("required");
+
+    /**
+     * Override [toString()] to avoid using the enum variable name as the value,
+     * and instead use the actual value defined in the API spec file.
+     *
+     * This solves a problem when the variable name and its value are different,
+     * and ensures that the client sends the correct enum values to the server
+     * always.
+     */
+    override fun toString(): kotlin.String = value
+
+    companion object {
+        /**
+         * Converts the provided [data] to a [String] on success, null
+         * otherwise.
+         */
+        fun encode(data: kotlin.Any?): kotlin.String? =
+            if (data is ToolChoiceOptions) "$data" else null
+
+        /** Returns a valid [ToolChoiceOptions] for [data], null otherwise. */
+        fun decode(data: kotlin.Any?): ToolChoiceOptions? =
+            data?.let {
+                val normalizedData = "$it".lowercase()
+                values().firstOrNull { value ->
+                    it == value || normalizedData == "$value".lowercase()
+                }
+            }
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/ToolChoiceTypes.kt b/lib/src/main/kotlin/com/openai/models/ToolChoiceTypes.kt
new file mode 100644
index 00000000..c6f96391
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/ToolChoiceTypes.kt
@@ -0,0 +1,49 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Indicates that the model should use a built-in tool to generate a response.
+ * [Learn more about built-in tools](/docs/guides/tools).
+ *
+ * @param type The type of hosted tool the model should to use. Learn more about
+ *   [built-in tools](/docs/guides/tools). Allowed values are: - `file_search` -
+ *   `web_search_preview` - `computer_use_preview`
+ */
+data class ToolChoiceTypes(
+
+    /* The type of hosted tool the model should to use. Learn more about [built-in tools](/docs/guides/tools).  Allowed values are: - `file_search` - `web_search_preview` - `computer_use_preview`  */
+    @Json(name = "type") val type: ToolChoiceTypes.Type
+) {
+
+    /**
+     * The type of hosted tool the model should to use. Learn more about
+     * [built-in tools](/docs/guides/tools). Allowed values are: -
+     * `file_search` - `web_search_preview` - `computer_use_preview`
+     *
+     * Values:
+     * file_search,web_search_preview,computer_use_preview,web_search_preview_2025_03_11
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "file_search") file_search("file_search"),
+        @Json(name = "web_search_preview")
+        web_search_preview("web_search_preview"),
+        @Json(name = "computer_use_preview")
+        computer_use_preview("computer_use_preview"),
+        @Json(name = "web_search_preview_2025_03_11")
+        web_search_preview_2025_03_11("web_search_preview_2025_03_11"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/TranscriptTextDeltaEvent.kt b/lib/src/main/kotlin/com/openai/models/TranscriptTextDeltaEvent.kt
new file mode 100644
index 00000000..3fe247c4
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/TranscriptTextDeltaEvent.kt
@@ -0,0 +1,52 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Emitted when there is an additional text delta. This is also the first event
+ * emitted when the transcription starts. Only emitted when you
+ * [create a transcription](/docs/api-reference/audio/create-transcription) with
+ * the `Stream` parameter set to `true`.
+ *
+ * @param type The type of the event. Always `transcript.text.delta`.
+ * @param delta The text delta that was additionally transcribed.
+ * @param logprobs The log probabilities of the delta. Only included if you
+ *   [create a transcription](/docs/api-reference/audio/create-transcription)
+ *   with the `include[]` parameter set to `logprobs`.
+ */
+data class TranscriptTextDeltaEvent(
+
+    /* The type of the event. Always `transcript.text.delta`.  */
+    @Json(name = "type") val type: TranscriptTextDeltaEvent.Type,
+
+    /* The text delta that was additionally transcribed.  */
+    @Json(name = "delta") val delta: kotlin.String,
+
+    /* The log probabilities of the delta. Only included if you [create a transcription](/docs/api-reference/audio/create-transcription) with the `include[]` parameter set to `logprobs`.  */
+    @Json(name = "logprobs")
+    val logprobs: kotlin.collections.List<LogProbProperties>? = null,
+) {
+
+    /**
+     * The type of the event. Always `transcript.text.delta`.
+     *
+     * Values: transcriptPeriodTextPeriodDelta
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "transcript.text.delta")
+        transcriptPeriodTextPeriodDelta("transcript.text.delta")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/TranscriptTextDoneEvent.kt b/lib/src/main/kotlin/com/openai/models/TranscriptTextDoneEvent.kt
new file mode 100644
index 00000000..84a452ce
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/TranscriptTextDoneEvent.kt
@@ -0,0 +1,53 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Emitted when the transcription is complete. Contains the complete
+ * transcription text. Only emitted when you
+ * [create a transcription](/docs/api-reference/audio/create-transcription) with
+ * the `Stream` parameter set to `true`.
+ *
+ * @param type The type of the event. Always `transcript.text.done`.
+ * @param text The text that was transcribed.
+ * @param logprobs The log probabilities of the individual tokens in the
+ *   transcription. Only included if you
+ *   [create a transcription](/docs/api-reference/audio/create-transcription)
+ *   with the `include[]` parameter set to `logprobs`.
+ */
+data class TranscriptTextDoneEvent(
+
+    /* The type of the event. Always `transcript.text.done`.  */
+    @Json(name = "type") val type: TranscriptTextDoneEvent.Type,
+
+    /* The text that was transcribed.  */
+    @Json(name = "text") val text: kotlin.String,
+
+    /* The log probabilities of the individual tokens in the transcription. Only included if you [create a transcription](/docs/api-reference/audio/create-transcription) with the `include[]` parameter set to `logprobs`.  */
+    @Json(name = "logprobs")
+    val logprobs: kotlin.collections.List<LogProbProperties>? = null,
+) {
+
+    /**
+     * The type of the event. Always `transcript.text.done`.
+     *
+     * Values: transcriptPeriodTextPeriodDone
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "transcript.text.done")
+        transcriptPeriodTextPeriodDone("transcript.text.done")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/TranscriptionInclude.kt b/lib/src/main/kotlin/com/openai/models/TranscriptionInclude.kt
new file mode 100644
index 00000000..96b13cb4
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/TranscriptionInclude.kt
@@ -0,0 +1,52 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/** Values: logprobs */
+@JsonClass(generateAdapter = false)
+enum class TranscriptionInclude(val value: kotlin.String) {
+
+    @Json(name = "logprobs") logprobs("logprobs");
+
+    /**
+     * Override [toString()] to avoid using the enum variable name as the value,
+     * and instead use the actual value defined in the API spec file.
+     *
+     * This solves a problem when the variable name and its value are different,
+     * and ensures that the client sends the correct enum values to the server
+     * always.
+     */
+    override fun toString(): kotlin.String = value
+
+    companion object {
+        /**
+         * Converts the provided [data] to a [String] on success, null
+         * otherwise.
+         */
+        fun encode(data: kotlin.Any?): kotlin.String? =
+            if (data is TranscriptionInclude) "$data" else null
+
+        /**
+         * Returns a valid [TranscriptionInclude] for [data], null otherwise.
+         */
+        fun decode(data: kotlin.Any?): TranscriptionInclude? =
+            data?.let {
+                val normalizedData = "$it".lowercase()
+                values().firstOrNull { value ->
+                    it == value || normalizedData == "$value".lowercase()
+                }
+            }
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/Type.kt b/lib/src/main/kotlin/com/openai/models/Type.kt
new file mode 100644
index 00000000..91ff94cf
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/Type.kt
@@ -0,0 +1,43 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * An action to type in text.
+ *
+ * @param type Specifies the event type. For a type action, this property is
+ *   always set to `type`.
+ * @param text The text to type.
+ */
+data class Type(
+
+    /* Specifies the event type. For a type action, this property is  always set to `type`.  */
+    @Json(name = "type") val type: Type.Type = Type.type,
+
+    /* The text to type.  */
+    @Json(name = "text") val text: kotlin.String,
+) {
+
+    /**
+     * Specifies the event type. For a type action, this property is always set
+     * to `type`.
+     *
+     * Values: type
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "type") type("type")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/UpdateChatCompletionRequest.kt b/lib/src/main/kotlin/com/openai/models/UpdateChatCompletionRequest.kt
new file mode 100644
index 00000000..d8de8192
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/UpdateChatCompletionRequest.kt
@@ -0,0 +1,28 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+
+/**
+ * @param metadata Set of 16 key-value pairs that can be attached to an object.
+ *   This can be useful for storing additional information about the object in a
+ *   structured format, and querying for objects via API or the dashboard. Keys
+ *   are strings with a maximum length of 64 characters. Values are strings with
+ *   a maximum length of 512 characters.
+ */
+data class UpdateChatCompletionRequest(
+
+    /* Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard.   Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.  */
+    @Json(name = "metadata")
+    val metadata: kotlin.collections.Map<kotlin.String, kotlin.String>?
+) {}
diff --git a/lib/src/main/kotlin/com/openai/models/UpdateVectorStoreFileAttributesRequest.kt b/lib/src/main/kotlin/com/openai/models/UpdateVectorStoreFileAttributesRequest.kt
new file mode 100644
index 00000000..d53c8c09
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/UpdateVectorStoreFileAttributesRequest.kt
@@ -0,0 +1,29 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+
+/**
+ * @param attributes Set of 16 key-value pairs that can be attached to an
+ *   object. This can be useful for storing additional information about the
+ *   object in a structured format, and querying for objects via API or the
+ *   dashboard. Keys are strings with a maximum length of 64 characters. Values
+ *   are strings with a maximum length of 512 characters, booleans, or numbers.
+ */
+data class UpdateVectorStoreFileAttributesRequest(
+
+    /* Set of 16 key-value pairs that can be attached to an object. This can be  useful for storing additional information about the object in a structured  format, and querying for objects via API or the dashboard. Keys are strings  with a maximum length of 64 characters. Values are strings with a maximum  length of 512 characters, booleans, or numbers.  */
+    @Json(name = "attributes")
+    val attributes:
+        kotlin.collections.Map<kotlin.String, VectorStoreFileAttributesValue>?
+) {}
diff --git a/lib/src/main/kotlin/com/openai/models/Upload.kt b/lib/src/main/kotlin/com/openai/models/Upload.kt
index c5997f54..bc5c62f0 100644
--- a/lib/src/main/kotlin/com/openai/models/Upload.kt
+++ b/lib/src/main/kotlin/com/openai/models/Upload.kt
@@ -27,8 +27,8 @@ import com.squareup.moshi.JsonClass
  *   [Please refer here](/docs/api-reference/files/object#files/object-purpose)
  *   for acceptable values.
  * @param status The status of the Upload.
- * @param expiresAt The Unix timestamp (in seconds) for when the Upload was
- *   created.
+ * @param expiresAt The Unix timestamp (in seconds) for when the Upload will
+ *   expire.
  * @param `object` The object type, which is always \"upload\".
  * @param file
  */
@@ -52,7 +52,7 @@ data class Upload(
     /* The status of the Upload. */
     @Json(name = "status") val status: Upload.Status,
 
-    /* The Unix timestamp (in seconds) for when the Upload was created. */
+    /* The Unix timestamp (in seconds) for when the Upload will expire. */
     @Json(name = "expires_at") val expiresAt: kotlin.Int,
 
     /* The object type, which is always \"upload\". */
diff --git a/lib/src/main/kotlin/com/openai/models/UploadFile.kt b/lib/src/main/kotlin/com/openai/models/UploadFile.kt
index a7aef069..e568f5c1 100644
--- a/lib/src/main/kotlin/com/openai/models/UploadFile.kt
+++ b/lib/src/main/kotlin/com/openai/models/UploadFile.kt
@@ -26,6 +26,8 @@ import com.squareup.moshi.JsonClass
  *   `fine-tune-results` and `vision`.
  * @param status Deprecated. The current status of the file, which can be either
  *   `uploaded`, `processed`, or `error`.
+ * @param expiresAt The Unix timestamp (in seconds) for when the file will
+ *   expire.
  * @param statusDetails Deprecated. For details on why a fine-tuning training
  *   file failed validation, see the `error` field on `fine_tuning.job`.
  */
@@ -54,6 +56,9 @@ data class UploadFile(
     @Deprecated(message = "This property is deprecated.")
     val status: UploadFile.Status,
 
+    /* The Unix timestamp (in seconds) for when the file will expire. */
+    @Json(name = "expires_at") val expiresAt: kotlin.Int? = null,
+
     /* Deprecated. For details on why a fine-tuning training file failed validation, see the `error` field on `fine_tuning.job`. */
     @Json(name = "status_details")
     @Deprecated(message = "This property is deprecated.")
diff --git a/lib/src/main/kotlin/com/openai/models/UrlCitation.kt b/lib/src/main/kotlin/com/openai/models/UrlCitation.kt
new file mode 100644
index 00000000..dec6bde2
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/UrlCitation.kt
@@ -0,0 +1,55 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * A citation for a web resource used to generate a model response.
+ *
+ * @param url The URL of the web resource.
+ * @param title The title of the web resource.
+ * @param type The type of the URL citation. Always `url_citation`.
+ * @param startIndex The index of the first character of the URL citation in the
+ *   message.
+ * @param endIndex The index of the last character of the URL citation in the
+ *   message.
+ */
+data class UrlCitation(
+
+    /* The URL of the web resource.  */
+    @Json(name = "url") val url: kotlin.String,
+
+    /* The title of the web resource.  */
+    @Json(name = "title") val title: kotlin.String,
+
+    /* The type of the URL citation. Always `url_citation`.  */
+    @Json(name = "type") val type: UrlCitation.Type,
+
+    /* The index of the first character of the URL citation in the message.  */
+    @Json(name = "start_index") val startIndex: kotlin.Int,
+
+    /* The index of the last character of the URL citation in the message.  */
+    @Json(name = "end_index") val endIndex: kotlin.Int,
+) {
+
+    /**
+     * The type of the URL citation. Always `url_citation`.
+     *
+     * Values: url_citation
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "url_citation") url_citation("url_citation")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/VectorStoreFileAttributesValue.kt b/lib/src/main/kotlin/com/openai/models/VectorStoreFileAttributesValue.kt
new file mode 100644
index 00000000..c48bb6f6
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/VectorStoreFileAttributesValue.kt
@@ -0,0 +1,15 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+/**  */
+class VectorStoreFileAttributesValue() {}
diff --git a/lib/src/main/kotlin/com/openai/models/VectorStoreFileContentResponse.kt b/lib/src/main/kotlin/com/openai/models/VectorStoreFileContentResponse.kt
new file mode 100644
index 00000000..6c253d83
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/VectorStoreFileContentResponse.kt
@@ -0,0 +1,56 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Represents the parsed content of a vector store file.
+ *
+ * @param `object` The object type, which is always
+ *   `vector_store.file_content.page`
+ * @param `data` Parsed content of the file.
+ * @param hasMore Indicates if there are more content pages to fetch.
+ * @param nextPage The token for the next page, if any.
+ */
+data class VectorStoreFileContentResponse(
+
+    /* The object type, which is always `vector_store.file_content.page` */
+    @Json(name = "object")
+    val `object`: VectorStoreFileContentResponse.`Object`,
+
+    /* Parsed content of the file. */
+    @Json(name = "data")
+    val `data`:
+        kotlin.collections.List<VectorStoreFileContentResponseDataInner>,
+
+    /* Indicates if there are more content pages to fetch. */
+    @Json(name = "has_more") val hasMore: kotlin.Boolean,
+
+    /* The token for the next page, if any. */
+    @Json(name = "next_page") val nextPage: kotlin.String?,
+) {
+
+    /**
+     * The object type, which is always `vector_store.file_content.page`
+     *
+     * Values: vector_storePeriodFile_contentPeriodPage
+     */
+    @JsonClass(generateAdapter = false)
+    enum class `Object`(val value: kotlin.String) {
+        @Json(name = "vector_store.file_content.page")
+        vector_storePeriodFile_contentPeriodPage(
+            "vector_store.file_content.page"
+        )
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/VectorStoreFileContentResponseDataInner.kt b/lib/src/main/kotlin/com/openai/models/VectorStoreFileContentResponseDataInner.kt
new file mode 100644
index 00000000..24efe1ba
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/VectorStoreFileContentResponseDataInner.kt
@@ -0,0 +1,27 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+
+/**
+ * @param type The content type (currently only `\"text\"`)
+ * @param text The text content
+ */
+data class VectorStoreFileContentResponseDataInner(
+
+    /* The content type (currently only `\"text\"`) */
+    @Json(name = "type") val type: kotlin.String? = null,
+
+    /* The text content */
+    @Json(name = "text") val text: kotlin.String? = null,
+) {}
diff --git a/lib/src/main/kotlin/com/openai/models/VectorStoreFileObject.kt b/lib/src/main/kotlin/com/openai/models/VectorStoreFileObject.kt
index 5f126441..0137695b 100644
--- a/lib/src/main/kotlin/com/openai/models/VectorStoreFileObject.kt
+++ b/lib/src/main/kotlin/com/openai/models/VectorStoreFileObject.kt
@@ -31,6 +31,11 @@ import com.squareup.moshi.JsonClass
  *   `completed` indicates that the vector store file is ready for use.
  * @param lastError
  * @param chunkingStrategy
+ * @param attributes Set of 16 key-value pairs that can be attached to an
+ *   object. This can be useful for storing additional information about the
+ *   object in a structured format, and querying for objects via API or the
+ *   dashboard. Keys are strings with a maximum length of 64 characters. Values
+ *   are strings with a maximum length of 512 characters, booleans, or numbers.
  */
 data class VectorStoreFileObject(
 
@@ -54,6 +59,12 @@ data class VectorStoreFileObject(
     @Json(name = "last_error") val lastError: VectorStoreFileObjectLastError?,
     @Json(name = "chunking_strategy")
     val chunkingStrategy: VectorStoreFileObjectChunkingStrategy? = null,
+
+    /* Set of 16 key-value pairs that can be attached to an object. This can be  useful for storing additional information about the object in a structured  format, and querying for objects via API or the dashboard. Keys are strings  with a maximum length of 64 characters. Values are strings with a maximum  length of 512 characters, booleans, or numbers.  */
+    @Json(name = "attributes")
+    val attributes:
+        kotlin.collections.Map<kotlin.String, VectorStoreFileAttributesValue>? =
+        null,
 ) {
 
     /**
diff --git a/lib/src/main/kotlin/com/openai/models/VectorStoreSearchRequest.kt b/lib/src/main/kotlin/com/openai/models/VectorStoreSearchRequest.kt
new file mode 100644
index 00000000..43eb1eec
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/VectorStoreSearchRequest.kt
@@ -0,0 +1,36 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+
+/**
+ * @param query
+ * @param rewriteQuery Whether to rewrite the natural language query for vector
+ *   search.
+ * @param maxNumResults The maximum number of results to return. This number
+ *   should be between 1 and 50 inclusive.
+ * @param filters
+ * @param rankingOptions
+ */
+data class VectorStoreSearchRequest(
+    @Json(name = "query") val query: VectorStoreSearchRequestQuery,
+
+    /* Whether to rewrite the natural language query for vector search. */
+    @Json(name = "rewrite_query") val rewriteQuery: kotlin.Boolean? = false,
+
+    /* The maximum number of results to return. This number should be between 1 and 50 inclusive. */
+    @Json(name = "max_num_results") val maxNumResults: kotlin.Int? = 10,
+    @Json(name = "filters") val filters: FileSearchToolFilters? = null,
+    @Json(name = "ranking_options")
+    val rankingOptions: VectorStoreSearchRequestRankingOptions? = null,
+) {}
diff --git a/lib/src/main/kotlin/com/openai/models/VectorStoreSearchRequestQuery.kt b/lib/src/main/kotlin/com/openai/models/VectorStoreSearchRequestQuery.kt
new file mode 100644
index 00000000..205f88ee
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/VectorStoreSearchRequestQuery.kt
@@ -0,0 +1,15 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+/** A query string for a search */
+class VectorStoreSearchRequestQuery() {}
diff --git a/lib/src/main/kotlin/com/openai/models/VectorStoreSearchRequestRankingOptions.kt b/lib/src/main/kotlin/com/openai/models/VectorStoreSearchRequestRankingOptions.kt
new file mode 100644
index 00000000..8780a84f
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/VectorStoreSearchRequestRankingOptions.kt
@@ -0,0 +1,37 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Ranking options for search.
+ *
+ * @param ranker
+ * @param scoreThreshold
+ */
+data class VectorStoreSearchRequestRankingOptions(
+    @Json(name = "ranker")
+    val ranker: VectorStoreSearchRequestRankingOptions.Ranker? = Ranker.auto,
+    @Json(name = "score_threshold")
+    val scoreThreshold: java.math.BigDecimal? = java.math.BigDecimal("0"),
+) {
+
+    /** Values: auto,defaultMinus2024Minus11Minus15 */
+    @JsonClass(generateAdapter = false)
+    enum class Ranker(val value: kotlin.String) {
+        @Json(name = "auto") auto("auto"),
+        @Json(name = "default-2024-11-15")
+        defaultMinus2024Minus11Minus15("default-2024-11-15"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/VectorStoreSearchResultContentObject.kt b/lib/src/main/kotlin/com/openai/models/VectorStoreSearchResultContentObject.kt
new file mode 100644
index 00000000..e2bbc313
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/VectorStoreSearchResultContentObject.kt
@@ -0,0 +1,39 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * @param type The type of content.
+ * @param text The text content returned from search.
+ */
+data class VectorStoreSearchResultContentObject(
+
+    /* The type of content. */
+    @Json(name = "type") val type: VectorStoreSearchResultContentObject.Type,
+
+    /* The text content returned from search. */
+    @Json(name = "text") val text: kotlin.String,
+) {
+
+    /**
+     * The type of content.
+     *
+     * Values: text
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "text") text("text")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/VectorStoreSearchResultItem.kt b/lib/src/main/kotlin/com/openai/models/VectorStoreSearchResultItem.kt
new file mode 100644
index 00000000..17344638
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/VectorStoreSearchResultItem.kt
@@ -0,0 +1,46 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+
+/**
+ * @param fileId The ID of the vector store file.
+ * @param filename The name of the vector store file.
+ * @param score The similarity score for the result.
+ * @param attributes Set of 16 key-value pairs that can be attached to an
+ *   object. This can be useful for storing additional information about the
+ *   object in a structured format, and querying for objects via API or the
+ *   dashboard. Keys are strings with a maximum length of 64 characters. Values
+ *   are strings with a maximum length of 512 characters, booleans, or numbers.
+ * @param content Content chunks from the file.
+ */
+data class VectorStoreSearchResultItem(
+
+    /* The ID of the vector store file. */
+    @Json(name = "file_id") val fileId: kotlin.String,
+
+    /* The name of the vector store file. */
+    @Json(name = "filename") val filename: kotlin.String,
+
+    /* The similarity score for the result. */
+    @Json(name = "score") val score: java.math.BigDecimal,
+
+    /* Set of 16 key-value pairs that can be attached to an object. This can be  useful for storing additional information about the object in a structured  format, and querying for objects via API or the dashboard. Keys are strings  with a maximum length of 64 characters. Values are strings with a maximum  length of 512 characters, booleans, or numbers.  */
+    @Json(name = "attributes")
+    val attributes:
+        kotlin.collections.Map<kotlin.String, VectorStoreFileAttributesValue>?,
+
+    /* Content chunks from the file. */
+    @Json(name = "content")
+    val content: kotlin.collections.List<VectorStoreSearchResultContentObject>,
+) {}
diff --git a/lib/src/main/kotlin/com/openai/models/VectorStoreSearchResultsPage.kt b/lib/src/main/kotlin/com/openai/models/VectorStoreSearchResultsPage.kt
new file mode 100644
index 00000000..2157e1dc
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/VectorStoreSearchResultsPage.kt
@@ -0,0 +1,55 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * @param `object` The object type, which is always
+ *   `vector_store.search_results.page`
+ * @param searchQuery
+ * @param `data` The list of search result items.
+ * @param hasMore Indicates if there are more results to fetch.
+ * @param nextPage The token for the next page, if any.
+ */
+data class VectorStoreSearchResultsPage(
+
+    /* The object type, which is always `vector_store.search_results.page` */
+    @Json(name = "object") val `object`: VectorStoreSearchResultsPage.`Object`,
+    @Json(name = "search_query")
+    val searchQuery: kotlin.collections.List<kotlin.String>,
+
+    /* The list of search result items. */
+    @Json(name = "data")
+    val `data`: kotlin.collections.List<VectorStoreSearchResultItem>,
+
+    /* Indicates if there are more results to fetch. */
+    @Json(name = "has_more") val hasMore: kotlin.Boolean,
+
+    /* The token for the next page, if any. */
+    @Json(name = "next_page") val nextPage: kotlin.String?,
+) {
+
+    /**
+     * The object type, which is always `vector_store.search_results.page`
+     *
+     * Values: vector_storePeriodSearch_resultsPeriodPage
+     */
+    @JsonClass(generateAdapter = false)
+    enum class `Object`(val value: kotlin.String) {
+        @Json(name = "vector_store.search_results.page")
+        vector_storePeriodSearch_resultsPeriodPage(
+            "vector_store.search_results.page"
+        )
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/VoiceIdsShared.kt b/lib/src/main/kotlin/com/openai/models/VoiceIdsShared.kt
new file mode 100644
index 00000000..fb1f7639
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/VoiceIdsShared.kt
@@ -0,0 +1,35 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+
+// openai-openapi-kotlin changes begin
+/**
+ * The voice the model uses to respond. Voice cannot be changed during the
+ * session once the model has responded with audio at least once. Current voice
+ * options are `alloy`, `ash`, `ballad`, `coral`, `echo` `sage`, `shimmer` and
+ * `verse`.
+ *
+ * Values: alloy,ash,ballad,coral,echo,sage,shimmer,verse
+ */
+enum class VoiceIdsShared(val value: kotlin.String) {
+    @Json(name = "alloy") alloy("alloy"),
+    @Json(name = "ash") ash("ash"),
+    @Json(name = "ballad") ballad("ballad"),
+    @Json(name = "coral") coral("coral"),
+    @Json(name = "echo") echo("echo"),
+    @Json(name = "sage") sage("sage"),
+    @Json(name = "shimmer") shimmer("shimmer"),
+    @Json(name = "verse") verse("verse"),
+}
+// openai-openapi-kotlin changes end
diff --git a/lib/src/main/kotlin/com/openai/models/Wait.kt b/lib/src/main/kotlin/com/openai/models/Wait.kt
new file mode 100644
index 00000000..f39f9478
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/Wait.kt
@@ -0,0 +1,39 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * A wait action.
+ *
+ * @param type Specifies the event type. For a wait action, this property is
+ *   always set to `wait`.
+ */
+data class Wait(
+
+    /* Specifies the event type. For a wait action, this property is  always set to `wait`.  */
+    @Json(name = "type") val type: Wait.Type = Type.wait
+) {
+
+    /**
+     * Specifies the event type. For a wait action, this property is always set
+     * to `wait`.
+     *
+     * Values: wait
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "wait") wait("wait")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/WebSearch.kt b/lib/src/main/kotlin/com/openai/models/WebSearch.kt
new file mode 100644
index 00000000..072a12b4
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/WebSearch.kt
@@ -0,0 +1,29 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+
+/**
+ * This tool searches the web for relevant results to use in a response. Learn
+ * more about the
+ * [web search tool](/docs/guides/tools-web-search?api-mode=chat).
+ *
+ * @param userLocation
+ * @param searchContextSize
+ */
+data class WebSearch(
+    @Json(name = "user_location")
+    val userLocation: WebSearchUserLocation? = null,
+    @Json(name = "search_context_size")
+    val searchContextSize: WebSearchContextSize? = WebSearchContextSize.medium,
+) {}
diff --git a/lib/src/main/kotlin/com/openai/models/WebSearchContextSize.kt b/lib/src/main/kotlin/com/openai/models/WebSearchContextSize.kt
new file mode 100644
index 00000000..75221748
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/WebSearchContextSize.kt
@@ -0,0 +1,59 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * High level guidance for the amount of context window space to use for the
+ * search. One of `low`, `medium`, or `high`. `medium` is the default.
+ *
+ * Values: low,medium,high
+ */
+@JsonClass(generateAdapter = false)
+enum class WebSearchContextSize(val value: kotlin.String) {
+
+    @Json(name = "low") low("low"),
+    @Json(name = "medium") medium("medium"),
+    @Json(name = "high") high("high");
+
+    /**
+     * Override [toString()] to avoid using the enum variable name as the value,
+     * and instead use the actual value defined in the API spec file.
+     *
+     * This solves a problem when the variable name and its value are different,
+     * and ensures that the client sends the correct enum values to the server
+     * always.
+     */
+    override fun toString(): kotlin.String = value
+
+    companion object {
+        /**
+         * Converts the provided [data] to a [String] on success, null
+         * otherwise.
+         */
+        fun encode(data: kotlin.Any?): kotlin.String? =
+            if (data is WebSearchContextSize) "$data" else null
+
+        /**
+         * Returns a valid [WebSearchContextSize] for [data], null otherwise.
+         */
+        fun decode(data: kotlin.Any?): WebSearchContextSize? =
+            data?.let {
+                val normalizedData = "$it".lowercase()
+                values().firstOrNull { value ->
+                    it == value || normalizedData == "$value".lowercase()
+                }
+            }
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/WebSearchLocation.kt b/lib/src/main/kotlin/com/openai/models/WebSearchLocation.kt
new file mode 100644
index 00000000..f2b7aa97
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/WebSearchLocation.kt
@@ -0,0 +1,41 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+
+/**
+ * Approximate location parameters for the search.
+ *
+ * @param country The two-letter
+ *   [ISO country code](https://en.wikipedia.org/wiki/ISO_3166-1) of the user,
+ *   e.g. `US`.
+ * @param region Free text input for the region of the user, e.g. `California`.
+ * @param city Free text input for the city of the user, e.g. `San Francisco`.
+ * @param timezone The
+ *   [IANA timezone](https://timeapi.io/documentation/iana-timezones) of the
+ *   user, e.g. `America/Los_Angeles`.
+ */
+data class WebSearchLocation(
+
+    /* The two-letter  [ISO country code](https://en.wikipedia.org/wiki/ISO_3166-1) of the user, e.g. `US`.  */
+    @Json(name = "country") val country: kotlin.String? = null,
+
+    /* Free text input for the region of the user, e.g. `California`.  */
+    @Json(name = "region") val region: kotlin.String? = null,
+
+    /* Free text input for the city of the user, e.g. `San Francisco`.  */
+    @Json(name = "city") val city: kotlin.String? = null,
+
+    /* The [IANA timezone](https://timeapi.io/documentation/iana-timezones)  of the user, e.g. `America/Los_Angeles`.  */
+    @Json(name = "timezone") val timezone: kotlin.String? = null,
+) {}
diff --git a/lib/src/main/kotlin/com/openai/models/WebSearchTool.kt b/lib/src/main/kotlin/com/openai/models/WebSearchTool.kt
new file mode 100644
index 00000000..fcde29de
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/WebSearchTool.kt
@@ -0,0 +1,49 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * This tool searches the web for relevant results to use in a response. Learn
+ * more about the [web search tool](/docs/guides/tools-web-search).
+ *
+ * @param type The type of the web search tool. One of: - `web_search_preview` -
+ *   `web_search_preview_2025_03_11`
+ * @param userLocation
+ * @param searchContextSize
+ */
+data class WebSearchTool(
+
+    /* The type of the web search tool. One of: - `web_search_preview` - `web_search_preview_2025_03_11`  */
+    @Json(name = "type") val type: WebSearchTool.Type,
+    @Json(name = "user_location")
+    val userLocation: WebSearchToolUserLocation? = null,
+    @Json(name = "search_context_size")
+    val searchContextSize: WebSearchContextSize? = WebSearchContextSize.medium,
+) {
+
+    /**
+     * The type of the web search tool. One of: - `web_search_preview` -
+     * `web_search_preview_2025_03_11`
+     *
+     * Values: web_search_preview,web_search_preview_2025_03_11
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "web_search_preview")
+        web_search_preview("web_search_preview"),
+        @Json(name = "web_search_preview_2025_03_11")
+        web_search_preview_2025_03_11("web_search_preview_2025_03_11"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/WebSearchToolCall.kt b/lib/src/main/kotlin/com/openai/models/WebSearchToolCall.kt
new file mode 100644
index 00000000..2fd1e7d7
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/WebSearchToolCall.kt
@@ -0,0 +1,59 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * The results of a web search tool call. See the
+ * [web search guide](/docs/guides/tools-web-search) for more information.
+ *
+ * @param id The unique ID of the web search tool call.
+ * @param type The type of the web search tool call. Always `web_search_call`.
+ * @param status The status of the web search tool call.
+ */
+data class WebSearchToolCall(
+
+    /* The unique ID of the web search tool call.  */
+    @Json(name = "id") val id: kotlin.String,
+
+    /* The type of the web search tool call. Always `web_search_call`.  */
+    @Json(name = "type") val type: WebSearchToolCall.Type,
+
+    /* The status of the web search tool call.  */
+    @Json(name = "status") val status: WebSearchToolCall.Status,
+) {
+
+    /**
+     * The type of the web search tool call. Always `web_search_call`.
+     *
+     * Values: web_search_call
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "web_search_call") web_search_call("web_search_call")
+    }
+
+    /**
+     * The status of the web search tool call.
+     *
+     * Values: in_progress,searching,completed,failed
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Status(val value: kotlin.String) {
+        @Json(name = "in_progress") in_progress("in_progress"),
+        @Json(name = "searching") searching("searching"),
+        @Json(name = "completed") completed("completed"),
+        @Json(name = "failed") failed("failed"),
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/WebSearchToolUserLocation.kt b/lib/src/main/kotlin/com/openai/models/WebSearchToolUserLocation.kt
new file mode 100644
index 00000000..6dadd5a4
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/WebSearchToolUserLocation.kt
@@ -0,0 +1,55 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * @param type The type of location approximation. Always `approximate`.
+ * @param country The two-letter
+ *   [ISO country code](https://en.wikipedia.org/wiki/ISO_3166-1) of the user,
+ *   e.g. `US`.
+ * @param region Free text input for the region of the user, e.g. `California`.
+ * @param city Free text input for the city of the user, e.g. `San Francisco`.
+ * @param timezone The
+ *   [IANA timezone](https://timeapi.io/documentation/iana-timezones) of the
+ *   user, e.g. `America/Los_Angeles`.
+ */
+data class WebSearchToolUserLocation(
+
+    /* The type of location approximation. Always `approximate`.  */
+    @Json(name = "type") val type: WebSearchToolUserLocation.Type,
+
+    /* The two-letter  [ISO country code](https://en.wikipedia.org/wiki/ISO_3166-1) of the user, e.g. `US`.  */
+    @Json(name = "country") val country: kotlin.String? = null,
+
+    /* Free text input for the region of the user, e.g. `California`.  */
+    @Json(name = "region") val region: kotlin.String? = null,
+
+    /* Free text input for the city of the user, e.g. `San Francisco`.  */
+    @Json(name = "city") val city: kotlin.String? = null,
+
+    /* The [IANA timezone](https://timeapi.io/documentation/iana-timezones)  of the user, e.g. `America/Los_Angeles`.  */
+    @Json(name = "timezone") val timezone: kotlin.String? = null,
+) {
+
+    /**
+     * The type of location approximation. Always `approximate`.
+     *
+     * Values: approximate
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "approximate") approximate("approximate")
+    }
+}
diff --git a/lib/src/main/kotlin/com/openai/models/WebSearchUserLocation.kt b/lib/src/main/kotlin/com/openai/models/WebSearchUserLocation.kt
new file mode 100644
index 00000000..64606640
--- /dev/null
+++ b/lib/src/main/kotlin/com/openai/models/WebSearchUserLocation.kt
@@ -0,0 +1,39 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import com.squareup.moshi.Json
+import com.squareup.moshi.JsonClass
+
+/**
+ * Approximate location parameters for the search.
+ *
+ * @param type The type of location approximation. Always `approximate`.
+ * @param approximate
+ */
+data class WebSearchUserLocation(
+
+    /* The type of location approximation. Always `approximate`.  */
+    @Json(name = "type") val type: WebSearchUserLocation.Type,
+    @Json(name = "approximate") val approximate: WebSearchLocation,
+) {
+
+    /**
+     * The type of location approximation. Always `approximate`.
+     *
+     * Values: approximate
+     */
+    @JsonClass(generateAdapter = false)
+    enum class Type(val value: kotlin.String) {
+        @Json(name = "approximate") approximate("approximate")
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/apis/AudioApiTest.kt b/lib/src/test/kotlin/com/openai/apis/AudioApiTest.kt
index 8309929f..80b7cedd 100644
--- a/lib/src/test/kotlin/com/openai/apis/AudioApiTest.kt
+++ b/lib/src/test/kotlin/com/openai/apis/AudioApiTest.kt
@@ -55,6 +55,14 @@ class AudioApiTest : ShouldSpec() {
             // probability](https://en.wikipedia.org/wiki/Log_probability) to
             // automatically increase the temperature until certain thresholds
             // are hit.
+            // val include : kotlin.collections.List<TranscriptionInclude> =  //
+            // kotlin.collections.List<TranscriptionInclude> | Additional
+            // information to include in the transcription response.  `logprobs`
+            // will return the log probabilities of the tokens in the  response
+            // to understand the model's confidence in the transcription.
+            // `logprobs` only works with response_format set to `json` and only
+            // with  the models `gpt-4o-transcribe` and
+            // `gpt-4o-mini-transcribe`.
             // val timestampGranularities :
             // kotlin.collections.List<kotlin.String> =  //
             // kotlin.collections.List<kotlin.String> | The timestamp
@@ -64,9 +72,14 @@ class AudioApiTest : ShouldSpec() {
             // `word`, or `segment`. Note: There is no additional latency for
             // segment timestamps, but generating word timestamps incurs
             // additional latency.
+            // val stream : kotlin.Boolean = true // kotlin.Boolean | If set to
+            // true, the model response data will be streamed to the client as
+            // it is generated using [server-sent
+            // events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format).  See the [Streaming section of the Speech-to-Text guide](/docs/guides/speech-to-text?lang=curl#streaming-transcriptions) for more information.  Note: Streaming is not supported for the `whisper-1` model and will be ignored.
             // val result : CreateTranscription200Response =
             // apiInstance.createTranscription(file, model, language, prompt,
-            // responseFormat, temperature, timestampGranularities)
+            // responseFormat, temperature, include, timestampGranularities,
+            // stream)
             // result shouldBe ("TODO")
         }
 
@@ -76,15 +89,16 @@ class AudioApiTest : ShouldSpec() {
             // val file : java.io.File = BINARY_DATA_HERE // java.io.File | The
             // audio file object (not file name) translate, in one of these
             // formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
-            // val model : CreateTranscriptionRequestModel =  //
-            // CreateTranscriptionRequestModel |
+            // val model : CreateTranslationRequestModel =  //
+            // CreateTranslationRequestModel |
             // val prompt : kotlin.String = prompt_example // kotlin.String | An
             // optional text to guide the model's style or continue a previous
             // audio segment. The
             // [prompt](/docs/guides/speech-to-text#prompting) should be in
             // English.
-            // val responseFormat : AudioResponseFormat =  //
-            // AudioResponseFormat |
+            // val responseFormat : kotlin.String = responseFormat_example //
+            // kotlin.String | The format of the output, in one of these
+            // options: `json`, `text`, `srt`, `verbose_json`, or `vtt`.
             // val temperature : java.math.BigDecimal = 8.14 //
             // java.math.BigDecimal | The sampling temperature, between 0 and 1.
             // Higher values like 0.8 will make the output more random, while
diff --git a/lib/src/test/kotlin/com/openai/apis/ChatApiTest.kt b/lib/src/test/kotlin/com/openai/apis/ChatApiTest.kt
index aa703c10..158e7155 100644
--- a/lib/src/test/kotlin/com/openai/apis/ChatApiTest.kt
+++ b/lib/src/test/kotlin/com/openai/apis/ChatApiTest.kt
@@ -27,5 +27,82 @@ class ChatApiTest : ShouldSpec() {
             // apiInstance.createChatCompletion(createChatCompletionRequest)
             // result shouldBe ("TODO")
         }
+
+        // to test deleteChatCompletion
+        should("test deleteChatCompletion") {
+            // uncomment below to test deleteChatCompletion
+            // val completionId : kotlin.String = completionId_example //
+            // kotlin.String | The ID of the chat completion to delete.
+            // val result : ChatCompletionDeleted =
+            // apiInstance.deleteChatCompletion(completionId)
+            // result shouldBe ("TODO")
+        }
+
+        // to test getChatCompletion
+        should("test getChatCompletion") {
+            // uncomment below to test getChatCompletion
+            // val completionId : kotlin.String = completionId_example //
+            // kotlin.String | The ID of the chat completion to retrieve.
+            // val result : CreateChatCompletionResponse =
+            // apiInstance.getChatCompletion(completionId)
+            // result shouldBe ("TODO")
+        }
+
+        // to test getChatCompletionMessages
+        should("test getChatCompletionMessages") {
+            // uncomment below to test getChatCompletionMessages
+            // val completionId : kotlin.String = completionId_example //
+            // kotlin.String | The ID of the chat completion to retrieve
+            // messages from.
+            // val after : kotlin.String = after_example // kotlin.String |
+            // Identifier for the last message from the previous pagination
+            // request.
+            // val limit : kotlin.Int = 56 // kotlin.Int | Number of messages to
+            // retrieve.
+            // val order : kotlin.String = order_example // kotlin.String | Sort
+            // order for messages by timestamp. Use `asc` for ascending order or
+            // `desc` for descending order. Defaults to `asc`.
+            // val result : ChatCompletionMessageList =
+            // apiInstance.getChatCompletionMessages(completionId, after, limit,
+            // order)
+            // result shouldBe ("TODO")
+        }
+
+        // to test listChatCompletions
+        should("test listChatCompletions") {
+            // uncomment below to test listChatCompletions
+            // val model : kotlin.String = model_example // kotlin.String | The
+            // model used to generate the Chat Completions.
+            // val metadata : kotlin.collections.Map<kotlin.String,
+            // kotlin.String> =  // kotlin.collections.Map<kotlin.String,
+            // kotlin.String> | A list of metadata keys to filter the Chat
+            // Completions by. Example:
+            // `metadata[key1]=value1&metadata[key2]=value2`
+            // val after : kotlin.String = after_example // kotlin.String |
+            // Identifier for the last chat completion from the previous
+            // pagination request.
+            // val limit : kotlin.Int = 56 // kotlin.Int | Number of Chat
+            // Completions to retrieve.
+            // val order : kotlin.String = order_example // kotlin.String | Sort
+            // order for Chat Completions by timestamp. Use `asc` for ascending
+            // order or `desc` for descending order. Defaults to `asc`.
+            // val result : ChatCompletionList =
+            // apiInstance.listChatCompletions(model, metadata, after, limit,
+            // order)
+            // result shouldBe ("TODO")
+        }
+
+        // to test updateChatCompletion
+        should("test updateChatCompletion") {
+            // uncomment below to test updateChatCompletion
+            // val completionId : kotlin.String = completionId_example //
+            // kotlin.String | The ID of the chat completion to update.
+            // val updateChatCompletionRequest : UpdateChatCompletionRequest =
+            // // UpdateChatCompletionRequest |
+            // val result : CreateChatCompletionResponse =
+            // apiInstance.updateChatCompletion(completionId,
+            // updateChatCompletionRequest)
+            // result shouldBe ("TODO")
+        }
     }
 }
diff --git a/lib/src/test/kotlin/com/openai/apis/FilesApiTest.kt b/lib/src/test/kotlin/com/openai/apis/FilesApiTest.kt
index 58863c03..e7b414a6 100644
--- a/lib/src/test/kotlin/com/openai/apis/FilesApiTest.kt
+++ b/lib/src/test/kotlin/com/openai/apis/FilesApiTest.kt
@@ -24,13 +24,11 @@ class FilesApiTest : ShouldSpec() {
             // val file : java.io.File = BINARY_DATA_HERE // java.io.File | The
             // File object (not file name) to be uploaded.
             // val purpose : kotlin.String = purpose_example // kotlin.String |
-            // The intended purpose of the uploaded file.  Use
-            // \\\"assistants\\\" for
-            // [Assistants](/docs/api-reference/assistants) and
-            // [Message](/docs/api-reference/messages) files, \\\"vision\\\" for
-            // Assistants image file inputs, \\\"batch\\\" for [Batch
-            // API](/docs/guides/batch), and \\\"fine-tune\\\" for
-            // [Fine-tuning](/docs/api-reference/fine-tuning).
+            // The intended purpose of the uploaded file. One of: -
+            // `assistants`: Used in the Assistants API - `batch`: Used in the
+            // Batch API - `fine-tune`: Used for fine-tuning - `vision`: Images
+            // used for vision fine-tuning - `user_data`: Flexible file type for
+            // any purpose - `evals`: Used for eval data sets
             // val result : OpenAIFile = apiInstance.createFile(file, purpose)
             // result shouldBe ("TODO")
         }
diff --git a/lib/src/test/kotlin/com/openai/apis/FineTuningApiTest.kt b/lib/src/test/kotlin/com/openai/apis/FineTuningApiTest.kt
index d265570f..871febd9 100644
--- a/lib/src/test/kotlin/com/openai/apis/FineTuningApiTest.kt
+++ b/lib/src/test/kotlin/com/openai/apis/FineTuningApiTest.kt
@@ -28,6 +28,22 @@ class FineTuningApiTest : ShouldSpec() {
             // result shouldBe ("TODO")
         }
 
+        // to test createFineTuningCheckpointPermission
+        should("test createFineTuningCheckpointPermission") {
+            // uncomment below to test createFineTuningCheckpointPermission
+            // val permissionId : kotlin.String =
+            // ft:gpt-4o-mini-2024-07-18:org:weather:B7R9VjQd // kotlin.String |
+            // The ID of the fine-tuned model checkpoint to create a permission
+            // for.
+            // val createFineTuningCheckpointPermissionRequest :
+            // CreateFineTuningCheckpointPermissionRequest =  //
+            // CreateFineTuningCheckpointPermissionRequest |
+            // val result : ListFineTuningCheckpointPermissionResponse =
+            // apiInstance.createFineTuningCheckpointPermission(permissionId,
+            // createFineTuningCheckpointPermissionRequest)
+            // result shouldBe ("TODO")
+        }
+
         // to test createFineTuningJob
         should("test createFineTuningJob") {
             // uncomment below to test createFineTuningJob
@@ -38,6 +54,38 @@ class FineTuningApiTest : ShouldSpec() {
             // result shouldBe ("TODO")
         }
 
+        // to test deleteFineTuningCheckpointPermission
+        should("test deleteFineTuningCheckpointPermission") {
+            // uncomment below to test deleteFineTuningCheckpointPermission
+            // val permissionId : kotlin.String = cp_zc4Q7MP6XxulcVzj4MZdwsAB //
+            // kotlin.String | The ID of the fine-tuned model checkpoint
+            // permission to delete.
+            // val result : DeleteFineTuningCheckpointPermissionResponse =
+            // apiInstance.deleteFineTuningCheckpointPermission(permissionId)
+            // result shouldBe ("TODO")
+        }
+
+        // to test listFineTuningCheckpointPermissions
+        should("test listFineTuningCheckpointPermissions") {
+            // uncomment below to test listFineTuningCheckpointPermissions
+            // val permissionId : kotlin.String = ft-AF1WoRqd3aJAHsqc9NY7iL8F //
+            // kotlin.String | The ID of the fine-tuned model checkpoint to get
+            // permissions for.
+            // val projectId : kotlin.String = projectId_example //
+            // kotlin.String | The ID of the project to get permissions for.
+            // val after : kotlin.String = after_example // kotlin.String |
+            // Identifier for the last permission ID from the previous
+            // pagination request.
+            // val limit : kotlin.Int = 56 // kotlin.Int | Number of permissions
+            // to retrieve.
+            // val order : kotlin.String = order_example // kotlin.String | The
+            // order in which to retrieve permissions.
+            // val result : ListFineTuningCheckpointPermissionResponse =
+            // apiInstance.listFineTuningCheckpointPermissions(permissionId,
+            // projectId, after, limit, order)
+            // result shouldBe ("TODO")
+        }
+
         // to test listFineTuningEvents
         should("test listFineTuningEvents") {
             // uncomment below to test listFineTuningEvents
@@ -78,8 +126,13 @@ class FineTuningApiTest : ShouldSpec() {
             // Identifier for the last job from the previous pagination request.
             // val limit : kotlin.Int = 56 // kotlin.Int | Number of fine-tuning
             // jobs to retrieve.
+            // val metadata : kotlin.collections.Map<kotlin.String,
+            // kotlin.String> =  // kotlin.collections.Map<kotlin.String,
+            // kotlin.String> | Optional metadata filter. To filter, use the
+            // syntax `metadata[k]=v`. Alternatively, set `metadata=null` to
+            // indicate no metadata.
             // val result : ListPaginatedFineTuningJobsResponse =
-            // apiInstance.listPaginatedFineTuningJobs(after, limit)
+            // apiInstance.listPaginatedFineTuningJobs(after, limit, metadata)
             // result shouldBe ("TODO")
         }
 
diff --git a/lib/src/test/kotlin/com/openai/apis/RealtimeApiTest.kt b/lib/src/test/kotlin/com/openai/apis/RealtimeApiTest.kt
index f190cc1e..0a3636cb 100644
--- a/lib/src/test/kotlin/com/openai/apis/RealtimeApiTest.kt
+++ b/lib/src/test/kotlin/com/openai/apis/RealtimeApiTest.kt
@@ -28,5 +28,17 @@ class RealtimeApiTest : ShouldSpec() {
             // apiInstance.createRealtimeSession(realtimeSessionCreateRequest)
             // result shouldBe ("TODO")
         }
+
+        // to test createRealtimeTranscriptionSession
+        should("test createRealtimeTranscriptionSession") {
+            // uncomment below to test createRealtimeTranscriptionSession
+            // val realtimeTranscriptionSessionCreateRequest :
+            // RealtimeTranscriptionSessionCreateRequest =  //
+            // RealtimeTranscriptionSessionCreateRequest | Create an ephemeral
+            // API key with the given session configuration.
+            // val result : RealtimeTranscriptionSessionCreateResponse =
+            // apiInstance.createRealtimeTranscriptionSession(realtimeTranscriptionSessionCreateRequest)
+            // result shouldBe ("TODO")
+        }
     }
 }
diff --git a/lib/src/test/kotlin/com/openai/apis/ResponsesApiTest.kt b/lib/src/test/kotlin/com/openai/apis/ResponsesApiTest.kt
new file mode 100644
index 00000000..723ccec1
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/apis/ResponsesApiTest.kt
@@ -0,0 +1,81 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.apis
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponsesApiTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ResponsesApi
+        // val apiInstance = ResponsesApi()
+
+        // to test createResponse
+        should("test createResponse") {
+            // uncomment below to test createResponse
+            // val createResponse : CreateResponse =  // CreateResponse |
+            // val result : Response =
+            // apiInstance.createResponse(createResponse)
+            // result shouldBe ("TODO")
+        }
+
+        // to test deleteResponse
+        should("test deleteResponse") {
+            // uncomment below to test deleteResponse
+            // val responseId : kotlin.String =
+            // resp_677efb5139a88190b512bc3fef8e535d // kotlin.String | The ID
+            // of the response to delete.
+            // apiInstance.deleteResponse(responseId)
+        }
+
+        // to test getResponse
+        should("test getResponse") {
+            // uncomment below to test getResponse
+            // val responseId : kotlin.String =
+            // resp_677efb5139a88190b512bc3fef8e535d // kotlin.String | The ID
+            // of the response to retrieve.
+            // val include : kotlin.collections.List<Includable> =  //
+            // kotlin.collections.List<Includable> | Specify additional output
+            // data to include in the response. Currently supported values are:
+            // - `file_search_call.results`: Include the search results of   the
+            // file search tool call. - `message.input_image.image_url`: Include
+            // image urls from the input message. -
+            // `computer_call_output.output.image_url`: Include image urls from
+            // the computer call output.
+            // val result : Response = apiInstance.getResponse(responseId,
+            // include)
+            // result shouldBe ("TODO")
+        }
+
+        // to test listInputItems
+        should("test listInputItems") {
+            // uncomment below to test listInputItems
+            // val responseId : kotlin.String = responseId_example //
+            // kotlin.String | The ID of the response to retrieve input items
+            // for.
+            // val limit : kotlin.Int = 56 // kotlin.Int | A limit on the number
+            // of objects to be returned. Limit can range between 1 and 100, and
+            // the default is 20.
+            // val order : kotlin.String = order_example // kotlin.String | The
+            // order to return the input items in. Default is `asc`. - `asc`:
+            // Return the input items in ascending order. - `desc`: Return the
+            // input items in descending order.
+            // val after : kotlin.String = after_example // kotlin.String | An
+            // item ID to list items after, used in pagination.
+            // val before : kotlin.String = before_example // kotlin.String | An
+            // item ID to list items before, used in pagination.
+            // val result : ResponseItemList =
+            // apiInstance.listInputItems(responseId, limit, order, after,
+            // before)
+            // result shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/apis/VectorStoresApiTest.kt b/lib/src/test/kotlin/com/openai/apis/VectorStoresApiTest.kt
index ef16aca7..78e0ea1a 100644
--- a/lib/src/test/kotlin/com/openai/apis/VectorStoresApiTest.kt
+++ b/lib/src/test/kotlin/com/openai/apis/VectorStoresApiTest.kt
@@ -231,5 +231,46 @@ class VectorStoresApiTest : ShouldSpec() {
             // updateVectorStoreRequest)
             // result shouldBe ("TODO")
         }
+
+        // to test retrieveVectorStoreFileContent
+        should("test retrieveVectorStoreFileContent") {
+            // uncomment below to test retrieveVectorStoreFileContent
+            // val vectorStoreId : kotlin.String = vs_abc123 // kotlin.String |
+            // The ID of the vector store.
+            // val fileId : kotlin.String = file-abc123 // kotlin.String | The
+            // ID of the file within the vector store.
+            // val result : VectorStoreFileContentResponse =
+            // apiInstance.retrieveVectorStoreFileContent(vectorStoreId, fileId)
+            // result shouldBe ("TODO")
+        }
+
+        // to test searchVectorStore
+        should("test searchVectorStore") {
+            // uncomment below to test searchVectorStore
+            // val vectorStoreId : kotlin.String = vs_abc123 // kotlin.String |
+            // The ID of the vector store to search.
+            // val vectorStoreSearchRequest : VectorStoreSearchRequest =  //
+            // VectorStoreSearchRequest |
+            // val result : VectorStoreSearchResultsPage =
+            // apiInstance.searchVectorStore(vectorStoreId,
+            // vectorStoreSearchRequest)
+            // result shouldBe ("TODO")
+        }
+
+        // to test updateVectorStoreFileAttributes
+        should("test updateVectorStoreFileAttributes") {
+            // uncomment below to test updateVectorStoreFileAttributes
+            // val vectorStoreId : kotlin.String = vs_abc123 // kotlin.String |
+            // The ID of the vector store the file belongs to.
+            // val fileId : kotlin.String = file-abc123 // kotlin.String | The
+            // ID of the file to update attributes.
+            // val updateVectorStoreFileAttributesRequest :
+            // UpdateVectorStoreFileAttributesRequest =  //
+            // UpdateVectorStoreFileAttributesRequest |
+            // val result : VectorStoreFileObject =
+            // apiInstance.updateVectorStoreFileAttributes(vectorStoreId,
+            // fileId, updateVectorStoreFileAttributesRequest)
+            // result shouldBe ("TODO")
+        }
     }
 }
diff --git a/lib/src/test/kotlin/com/openai/models/AnnotationTest.kt b/lib/src/test/kotlin/com/openai/models/AnnotationTest.kt
new file mode 100644
index 00000000..2cf9a93e
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/AnnotationTest.kt
@@ -0,0 +1,67 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class AnnotationTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of Annotation
+        // val modelInstance = Annotation()
+
+        // to test the property `type` - The type of the file citation. Always
+        // `file_citation`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `index` - The index of the file in the list of
+        // files.
+        should("test index") {
+            // uncomment below to test the property
+            // modelInstance.index shouldBe ("TODO")
+        }
+
+        // to test the property `fileId` - The ID of the file.
+        should("test fileId") {
+            // uncomment below to test the property
+            // modelInstance.fileId shouldBe ("TODO")
+        }
+
+        // to test the property `url` - The URL of the web resource.
+        should("test url") {
+            // uncomment below to test the property
+            // modelInstance.url shouldBe ("TODO")
+        }
+
+        // to test the property `title` - The title of the web resource.
+        should("test title") {
+            // uncomment below to test the property
+            // modelInstance.title shouldBe ("TODO")
+        }
+
+        // to test the property `startIndex` - The index of the first character
+        // of the URL citation in the message.
+        should("test startIndex") {
+            // uncomment below to test the property
+            // modelInstance.startIndex shouldBe ("TODO")
+        }
+
+        // to test the property `endIndex` - The index of the last character of
+        // the URL citation in the message.
+        should("test endIndex") {
+            // uncomment below to test the property
+            // modelInstance.endIndex shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/AssistantsApiResponseFormatOptionTest.kt b/lib/src/test/kotlin/com/openai/models/AssistantsApiResponseFormatOptionTest.kt
index 6d92048d..73bb845e 100644
--- a/lib/src/test/kotlin/com/openai/models/AssistantsApiResponseFormatOptionTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/AssistantsApiResponseFormatOptionTest.kt
@@ -20,7 +20,7 @@ class AssistantsApiResponseFormatOptionTest : ShouldSpec() {
         // val modelInstance = AssistantsApiResponseFormatOption()
 
         // to test the property `type` - The type of response format being
-        // defined: `text`
+        // defined. Always `text`.
         should("test type") {
             // uncomment below to test the property
             // modelInstance.type shouldBe ("TODO")
diff --git a/lib/src/test/kotlin/com/openai/models/ChatCompletionDeletedTest.kt b/lib/src/test/kotlin/com/openai/models/ChatCompletionDeletedTest.kt
new file mode 100644
index 00000000..41c18a7d
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ChatCompletionDeletedTest.kt
@@ -0,0 +1,41 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ChatCompletionDeletedTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ChatCompletionDeleted
+        // val modelInstance = ChatCompletionDeleted()
+
+        // to test the property ``object`` - The type of object being deleted.
+        should("test `object`") {
+            // uncomment below to test the property
+            // modelInstance.`object` shouldBe ("TODO")
+        }
+
+        // to test the property `id` - The ID of the chat completion that was
+        // deleted.
+        should("test id") {
+            // uncomment below to test the property
+            // modelInstance.id shouldBe ("TODO")
+        }
+
+        // to test the property `deleted` - Whether the chat completion was
+        // deleted.
+        should("test deleted") {
+            // uncomment below to test the property
+            // modelInstance.deleted shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ChatCompletionListTest.kt b/lib/src/test/kotlin/com/openai/models/ChatCompletionListTest.kt
new file mode 100644
index 00000000..df2eddad
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ChatCompletionListTest.kt
@@ -0,0 +1,55 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ChatCompletionListTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ChatCompletionList
+        // val modelInstance = ChatCompletionList()
+
+        // to test the property ``object`` - The type of this object. It is
+        // always set to \"list\".
+        should("test `object`") {
+            // uncomment below to test the property
+            // modelInstance.`object` shouldBe ("TODO")
+        }
+
+        // to test the property ``data`` - An array of chat completion objects.
+        should("test `data`") {
+            // uncomment below to test the property
+            // modelInstance.`data` shouldBe ("TODO")
+        }
+
+        // to test the property `firstId` - The identifier of the first chat
+        // completion in the data array.
+        should("test firstId") {
+            // uncomment below to test the property
+            // modelInstance.firstId shouldBe ("TODO")
+        }
+
+        // to test the property `lastId` - The identifier of the last chat
+        // completion in the data array.
+        should("test lastId") {
+            // uncomment below to test the property
+            // modelInstance.lastId shouldBe ("TODO")
+        }
+
+        // to test the property `hasMore` - Indicates whether there are more
+        // Chat Completions available.
+        should("test hasMore") {
+            // uncomment below to test the property
+            // modelInstance.hasMore shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ChatCompletionMessageListDataInnerTest.kt b/lib/src/test/kotlin/com/openai/models/ChatCompletionMessageListDataInnerTest.kt
new file mode 100644
index 00000000..e8ceb67d
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ChatCompletionMessageListDataInnerTest.kt
@@ -0,0 +1,74 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ChatCompletionMessageListDataInnerTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // ChatCompletionMessageListDataInner
+        // val modelInstance = ChatCompletionMessageListDataInner()
+
+        // to test the property `content` - The contents of the message.
+        should("test content") {
+            // uncomment below to test the property
+            // modelInstance.content shouldBe ("TODO")
+        }
+
+        // to test the property `refusal` - The refusal message generated by the
+        // model.
+        should("test refusal") {
+            // uncomment below to test the property
+            // modelInstance.refusal shouldBe ("TODO")
+        }
+
+        // to test the property `role` - The role of the author of this message.
+        should("test role") {
+            // uncomment below to test the property
+            // modelInstance.role shouldBe ("TODO")
+        }
+
+        // to test the property `id` - The identifier of the chat message.
+        should("test id") {
+            // uncomment below to test the property
+            // modelInstance.id shouldBe ("TODO")
+        }
+
+        // to test the property `toolCalls` - The tool calls generated by the
+        // model, such as function calls.
+        should("test toolCalls") {
+            // uncomment below to test the property
+            // modelInstance.toolCalls shouldBe ("TODO")
+        }
+
+        // to test the property `annotations` - Annotations for the message,
+        // when applicable, as when using the [web search
+        // tool](/docs/guides/tools-web-search?api-mode=chat).
+        should("test annotations") {
+            // uncomment below to test the property
+            // modelInstance.annotations shouldBe ("TODO")
+        }
+
+        // to test the property `functionCall`
+        should("test functionCall") {
+            // uncomment below to test the property
+            // modelInstance.functionCall shouldBe ("TODO")
+        }
+
+        // to test the property `audio`
+        should("test audio") {
+            // uncomment below to test the property
+            // modelInstance.audio shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ChatCompletionMessageListTest.kt b/lib/src/test/kotlin/com/openai/models/ChatCompletionMessageListTest.kt
new file mode 100644
index 00000000..624107ff
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ChatCompletionMessageListTest.kt
@@ -0,0 +1,56 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ChatCompletionMessageListTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ChatCompletionMessageList
+        // val modelInstance = ChatCompletionMessageList()
+
+        // to test the property ``object`` - The type of this object. It is
+        // always set to \"list\".
+        should("test `object`") {
+            // uncomment below to test the property
+            // modelInstance.`object` shouldBe ("TODO")
+        }
+
+        // to test the property ``data`` - An array of chat completion message
+        // objects.
+        should("test `data`") {
+            // uncomment below to test the property
+            // modelInstance.`data` shouldBe ("TODO")
+        }
+
+        // to test the property `firstId` - The identifier of the first chat
+        // message in the data array.
+        should("test firstId") {
+            // uncomment below to test the property
+            // modelInstance.firstId shouldBe ("TODO")
+        }
+
+        // to test the property `lastId` - The identifier of the last chat
+        // message in the data array.
+        should("test lastId") {
+            // uncomment below to test the property
+            // modelInstance.lastId shouldBe ("TODO")
+        }
+
+        // to test the property `hasMore` - Indicates whether there are more
+        // chat messages available.
+        should("test hasMore") {
+            // uncomment below to test the property
+            // modelInstance.hasMore shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ChatCompletionRequestMessageContentPartFileFileTest.kt b/lib/src/test/kotlin/com/openai/models/ChatCompletionRequestMessageContentPartFileFileTest.kt
new file mode 100644
index 00000000..49426350
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ChatCompletionRequestMessageContentPartFileFileTest.kt
@@ -0,0 +1,43 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ChatCompletionRequestMessageContentPartFileFileTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // ChatCompletionRequestMessageContentPartFileFile
+        // val modelInstance = ChatCompletionRequestMessageContentPartFileFile()
+
+        // to test the property `filename` - The name of the file, used when
+        // passing the file to the model as a  string.
+        should("test filename") {
+            // uncomment below to test the property
+            // modelInstance.filename shouldBe ("TODO")
+        }
+
+        // to test the property `fileData` - The base64 encoded file data, used
+        // when passing the file to the model  as a string.
+        should("test fileData") {
+            // uncomment below to test the property
+            // modelInstance.fileData shouldBe ("TODO")
+        }
+
+        // to test the property `fileId` - The ID of an uploaded file to use as
+        // input.
+        should("test fileId") {
+            // uncomment below to test the property
+            // modelInstance.fileId shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestResponseFormatTest.kt b/lib/src/test/kotlin/com/openai/models/ChatCompletionRequestMessageContentPartFileTest.kt
similarity index 58%
rename from lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestResponseFormatTest.kt
rename to lib/src/test/kotlin/com/openai/models/ChatCompletionRequestMessageContentPartFileTest.kt
index 71d7eba8..69c2c2df 100644
--- a/lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestResponseFormatTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/ChatCompletionRequestMessageContentPartFileTest.kt
@@ -13,23 +13,23 @@ package com.openai.models
 
 import io.kotlintest.specs.ShouldSpec
 
-class CreateChatCompletionRequestResponseFormatTest : ShouldSpec() {
+class ChatCompletionRequestMessageContentPartFileTest : ShouldSpec() {
     init {
         // uncomment below to create an instance of
-        // CreateChatCompletionRequestResponseFormat
-        // val modelInstance = CreateChatCompletionRequestResponseFormat()
+        // ChatCompletionRequestMessageContentPartFile
+        // val modelInstance = ChatCompletionRequestMessageContentPartFile()
 
-        // to test the property `type` - The type of response format being
-        // defined: `text`
+        // to test the property `type` - The type of the content part. Always
+        // `file`.
         should("test type") {
             // uncomment below to test the property
             // modelInstance.type shouldBe ("TODO")
         }
 
-        // to test the property `jsonSchema`
-        should("test jsonSchema") {
+        // to test the property `file`
+        should("test file") {
             // uncomment below to test the property
-            // modelInstance.jsonSchema shouldBe ("TODO")
+            // modelInstance.file shouldBe ("TODO")
         }
     }
 }
diff --git a/lib/src/test/kotlin/com/openai/models/ChatCompletionRequestUserMessageContentPartTest.kt b/lib/src/test/kotlin/com/openai/models/ChatCompletionRequestUserMessageContentPartTest.kt
index 97ad77d5..c117c5a3 100644
--- a/lib/src/test/kotlin/com/openai/models/ChatCompletionRequestUserMessageContentPartTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/ChatCompletionRequestUserMessageContentPartTest.kt
@@ -42,5 +42,11 @@ class ChatCompletionRequestUserMessageContentPartTest : ShouldSpec() {
             // uncomment below to test the property
             // modelInstance.inputAudio shouldBe ("TODO")
         }
+
+        // to test the property `file`
+        should("test file") {
+            // uncomment below to test the property
+            // modelInstance.file shouldBe ("TODO")
+        }
     }
 }
diff --git a/lib/src/test/kotlin/com/openai/models/ChatCompletionResponseMessageAnnotationsInnerTest.kt b/lib/src/test/kotlin/com/openai/models/ChatCompletionResponseMessageAnnotationsInnerTest.kt
new file mode 100644
index 00000000..30e83ba6
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ChatCompletionResponseMessageAnnotationsInnerTest.kt
@@ -0,0 +1,35 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ChatCompletionResponseMessageAnnotationsInnerTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // ChatCompletionResponseMessageAnnotationsInner
+        // val modelInstance = ChatCompletionResponseMessageAnnotationsInner()
+
+        // to test the property `type` - The type of the URL citation. Always
+        // `url_citation`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `urlCitation`
+        should("test urlCitation") {
+            // uncomment below to test the property
+            // modelInstance.urlCitation shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ChatCompletionResponseMessageAnnotationsInnerUrlCitationTest.kt b/lib/src/test/kotlin/com/openai/models/ChatCompletionResponseMessageAnnotationsInnerUrlCitationTest.kt
new file mode 100644
index 00000000..7ae4ef9e
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ChatCompletionResponseMessageAnnotationsInnerUrlCitationTest.kt
@@ -0,0 +1,50 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ChatCompletionResponseMessageAnnotationsInnerUrlCitationTest :
+    ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // ChatCompletionResponseMessageAnnotationsInnerUrlCitation
+        // val modelInstance =
+        // ChatCompletionResponseMessageAnnotationsInnerUrlCitation()
+
+        // to test the property `endIndex` - The index of the last character of
+        // the URL citation in the message.
+        should("test endIndex") {
+            // uncomment below to test the property
+            // modelInstance.endIndex shouldBe ("TODO")
+        }
+
+        // to test the property `startIndex` - The index of the first character
+        // of the URL citation in the message.
+        should("test startIndex") {
+            // uncomment below to test the property
+            // modelInstance.startIndex shouldBe ("TODO")
+        }
+
+        // to test the property `url` - The URL of the web resource.
+        should("test url") {
+            // uncomment below to test the property
+            // modelInstance.url shouldBe ("TODO")
+        }
+
+        // to test the property `title` - The title of the web resource.
+        should("test title") {
+            // uncomment below to test the property
+            // modelInstance.title shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ChatCompletionResponseMessageTest.kt b/lib/src/test/kotlin/com/openai/models/ChatCompletionResponseMessageTest.kt
index a4dd6154..7ce7dea1 100644
--- a/lib/src/test/kotlin/com/openai/models/ChatCompletionResponseMessageTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/ChatCompletionResponseMessageTest.kt
@@ -45,6 +45,14 @@ class ChatCompletionResponseMessageTest : ShouldSpec() {
             // modelInstance.toolCalls shouldBe ("TODO")
         }
 
+        // to test the property `annotations` - Annotations for the message,
+        // when applicable, as when using the [web search
+        // tool](/docs/guides/tools-web-search?api-mode=chat).
+        should("test annotations") {
+            // uncomment below to test the property
+            // modelInstance.annotations shouldBe ("TODO")
+        }
+
         // to test the property `functionCall`
         should("test functionCall") {
             // uncomment below to test the property
diff --git a/lib/src/test/kotlin/com/openai/models/ChatCompletionStreamOptionsTest.kt b/lib/src/test/kotlin/com/openai/models/ChatCompletionStreamOptionsTest.kt
index 4bfca982..9dea3d7b 100644
--- a/lib/src/test/kotlin/com/openai/models/ChatCompletionStreamOptionsTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/ChatCompletionStreamOptionsTest.kt
@@ -21,9 +21,11 @@ class ChatCompletionStreamOptionsTest : ShouldSpec() {
         // to test the property `includeUsage` - If set, an additional chunk
         // will be streamed before the `data: [DONE]` message. The `usage` field
         // on this chunk shows the token usage statistics for the entire
-        // request, and the `choices` field will always be an empty array. All
+        // request, and the `choices` field will always be an empty array.   All
         // other chunks will also include a `usage` field, but with a null
-        // value.
+        // value. **NOTE:** If the stream is interrupted, you may not receive
+        // the final usage chunk which contains the total token usage for the
+        // request.
         should("test includeUsage") {
             // uncomment below to test the property
             // modelInstance.includeUsage shouldBe ("TODO")
diff --git a/lib/src/test/kotlin/com/openai/models/ClickTest.kt b/lib/src/test/kotlin/com/openai/models/ClickTest.kt
new file mode 100644
index 00000000..9c585d7f
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ClickTest.kt
@@ -0,0 +1,48 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ClickTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of Click
+        // val modelInstance = Click()
+
+        // to test the property `type` - Specifies the event type. For a click
+        // action, this property is  always set to `click`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `button` - Indicates which mouse button was
+        // pressed during the click. One of `left`, `right`, `wheel`, `back`, or
+        // `forward`.
+        should("test button") {
+            // uncomment below to test the property
+            // modelInstance.button shouldBe ("TODO")
+        }
+
+        // to test the property `x` - The x-coordinate where the click occurred.
+        should("test x") {
+            // uncomment below to test the property
+            // modelInstance.x shouldBe ("TODO")
+        }
+
+        // to test the property `y` - The y-coordinate where the click occurred.
+        should("test y") {
+            // uncomment below to test the property
+            // modelInstance.y shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/CodeInterpreterFileOutputFilesInnerTest.kt b/lib/src/test/kotlin/com/openai/models/CodeInterpreterFileOutputFilesInnerTest.kt
new file mode 100644
index 00000000..6206603c
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/CodeInterpreterFileOutputFilesInnerTest.kt
@@ -0,0 +1,34 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class CodeInterpreterFileOutputFilesInnerTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // CodeInterpreterFileOutputFilesInner
+        // val modelInstance = CodeInterpreterFileOutputFilesInner()
+
+        // to test the property `mimeType` - The MIME type of the file.
+        should("test mimeType") {
+            // uncomment below to test the property
+            // modelInstance.mimeType shouldBe ("TODO")
+        }
+
+        // to test the property `fileId` - The ID of the file.
+        should("test fileId") {
+            // uncomment below to test the property
+            // modelInstance.fileId shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/CodeInterpreterFileOutputTest.kt b/lib/src/test/kotlin/com/openai/models/CodeInterpreterFileOutputTest.kt
new file mode 100644
index 00000000..2920bc28
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/CodeInterpreterFileOutputTest.kt
@@ -0,0 +1,34 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class CodeInterpreterFileOutputTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of CodeInterpreterFileOutput
+        // val modelInstance = CodeInterpreterFileOutput()
+
+        // to test the property `type` - The type of the code interpreter file
+        // output. Always `files`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `files`
+        should("test files") {
+            // uncomment below to test the property
+            // modelInstance.files shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/CodeInterpreterTextOutputTest.kt b/lib/src/test/kotlin/com/openai/models/CodeInterpreterTextOutputTest.kt
new file mode 100644
index 00000000..11541afb
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/CodeInterpreterTextOutputTest.kt
@@ -0,0 +1,35 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class CodeInterpreterTextOutputTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of CodeInterpreterTextOutput
+        // val modelInstance = CodeInterpreterTextOutput()
+
+        // to test the property `type` - The type of the code interpreter text
+        // output. Always `logs`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `logs` - The logs of the code interpreter tool
+        // call.
+        should("test logs") {
+            // uncomment below to test the property
+            // modelInstance.logs shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/CodeInterpreterToolCallTest.kt b/lib/src/test/kotlin/com/openai/models/CodeInterpreterToolCallTest.kt
new file mode 100644
index 00000000..061dbef4
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/CodeInterpreterToolCallTest.kt
@@ -0,0 +1,55 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class CodeInterpreterToolCallTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of CodeInterpreterToolCall
+        // val modelInstance = CodeInterpreterToolCall()
+
+        // to test the property `id` - The unique ID of the code interpreter
+        // tool call.
+        should("test id") {
+            // uncomment below to test the property
+            // modelInstance.id shouldBe ("TODO")
+        }
+
+        // to test the property `type` - The type of the code interpreter tool
+        // call. Always `code_interpreter_call`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `code` - The code to run.
+        should("test code") {
+            // uncomment below to test the property
+            // modelInstance.code shouldBe ("TODO")
+        }
+
+        // to test the property `status` - The status of the code interpreter
+        // tool call.
+        should("test status") {
+            // uncomment below to test the property
+            // modelInstance.status shouldBe ("TODO")
+        }
+
+        // to test the property `results` - The results of the code interpreter
+        // tool call.
+        should("test results") {
+            // uncomment below to test the property
+            // modelInstance.results shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/CodeInterpreterToolOutputTest.kt b/lib/src/test/kotlin/com/openai/models/CodeInterpreterToolOutputTest.kt
new file mode 100644
index 00000000..5b0da784
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/CodeInterpreterToolOutputTest.kt
@@ -0,0 +1,41 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class CodeInterpreterToolOutputTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of CodeInterpreterToolOutput
+        // val modelInstance = CodeInterpreterToolOutput()
+
+        // to test the property `type` - The type of the code interpreter text
+        // output. Always `logs`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `logs` - The logs of the code interpreter tool
+        // call.
+        should("test logs") {
+            // uncomment below to test the property
+            // modelInstance.logs shouldBe ("TODO")
+        }
+
+        // to test the property `files`
+        should("test files") {
+            // uncomment below to test the property
+            // modelInstance.files shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/CodeInterpreterToolTest.kt b/lib/src/test/kotlin/com/openai/models/CodeInterpreterToolTest.kt
new file mode 100644
index 00000000..3f8fbfb0
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/CodeInterpreterToolTest.kt
@@ -0,0 +1,35 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class CodeInterpreterToolTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of CodeInterpreterTool
+        // val modelInstance = CodeInterpreterTool()
+
+        // to test the property `type` - The type of the code interpreter tool.
+        // Always `code_interpreter`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `fileIds` - The IDs of the files to run the code
+        // on.
+        should("test fileIds") {
+            // uncomment below to test the property
+            // modelInstance.fileIds shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ComparisonFilterTest.kt b/lib/src/test/kotlin/com/openai/models/ComparisonFilterTest.kt
new file mode 100644
index 00000000..a6094fa1
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ComparisonFilterTest.kt
@@ -0,0 +1,42 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ComparisonFilterTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ComparisonFilter
+        // val modelInstance = ComparisonFilter()
+
+        // to test the property `type` - Specifies the comparison operator:
+        // `eq`, `ne`, `gt`, `gte`, `lt`, `lte`. - `eq`: equals - `ne`: not
+        // equal - `gt`: greater than - `gte`: greater than or equal - `lt`:
+        // less than - `lte`: less than or equal
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `key` - The key to compare against the value.
+        should("test key") {
+            // uncomment below to test the property
+            // modelInstance.key shouldBe ("TODO")
+        }
+
+        // to test the property ``value``
+        should("test `value`") {
+            // uncomment below to test the property
+            // modelInstance.`value` shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/CreateCompletionRequestStopTest.kt b/lib/src/test/kotlin/com/openai/models/ComparisonFilterValueTest.kt
similarity index 64%
rename from lib/src/test/kotlin/com/openai/models/CreateCompletionRequestStopTest.kt
rename to lib/src/test/kotlin/com/openai/models/ComparisonFilterValueTest.kt
index dcc00f18..d9e95175 100644
--- a/lib/src/test/kotlin/com/openai/models/CreateCompletionRequestStopTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/ComparisonFilterValueTest.kt
@@ -13,10 +13,10 @@ package com.openai.models
 
 import io.kotlintest.specs.ShouldSpec
 
-class CreateCompletionRequestStopTest : ShouldSpec() {
+class ComparisonFilterValueTest : ShouldSpec() {
     init {
-        // uncomment below to create an instance of CreateCompletionRequestStop
-        // val modelInstance = CreateCompletionRequestStop()
+        // uncomment below to create an instance of ComparisonFilterValue
+        // val modelInstance = ComparisonFilterValue()
 
     }
 }
diff --git a/lib/src/test/kotlin/com/openai/models/CompoundFilterFiltersInnerTest.kt b/lib/src/test/kotlin/com/openai/models/CompoundFilterFiltersInnerTest.kt
new file mode 100644
index 00000000..dc11a19a
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/CompoundFilterFiltersInnerTest.kt
@@ -0,0 +1,42 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class CompoundFilterFiltersInnerTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of CompoundFilterFiltersInner
+        // val modelInstance = CompoundFilterFiltersInner()
+
+        // to test the property `type` - Specifies the comparison operator:
+        // `eq`, `ne`, `gt`, `gte`, `lt`, `lte`. - `eq`: equals - `ne`: not
+        // equal - `gt`: greater than - `gte`: greater than or equal - `lt`:
+        // less than - `lte`: less than or equal
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `key` - The key to compare against the value.
+        should("test key") {
+            // uncomment below to test the property
+            // modelInstance.key shouldBe ("TODO")
+        }
+
+        // to test the property ``value``
+        should("test `value`") {
+            // uncomment below to test the property
+            // modelInstance.`value` shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/CompoundFilterTest.kt b/lib/src/test/kotlin/com/openai/models/CompoundFilterTest.kt
new file mode 100644
index 00000000..bdfd9afa
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/CompoundFilterTest.kt
@@ -0,0 +1,34 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class CompoundFilterTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of CompoundFilter
+        // val modelInstance = CompoundFilter()
+
+        // to test the property `type` - Type of operation: `and` or `or`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `filters` - Array of filters to combine. Items
+        // can be `ComparisonFilter` or `CompoundFilter`.
+        should("test filters") {
+            // uncomment below to test the property
+            // modelInstance.filters shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ComputerActionTest.kt b/lib/src/test/kotlin/com/openai/models/ComputerActionTest.kt
new file mode 100644
index 00000000..59ab1487
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ComputerActionTest.kt
@@ -0,0 +1,84 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ComputerActionTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ComputerAction
+        // val modelInstance = ComputerAction()
+
+        // to test the property `type` - Specifies the event type. For a click
+        // action, this property is  always set to `click`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `button` - Indicates which mouse button was
+        // pressed during the click. One of `left`, `right`, `wheel`, `back`, or
+        // `forward`.
+        should("test button") {
+            // uncomment below to test the property
+            // modelInstance.button shouldBe ("TODO")
+        }
+
+        // to test the property `x` - The x-coordinate where the scroll
+        // occurred.
+        should("test x") {
+            // uncomment below to test the property
+            // modelInstance.x shouldBe ("TODO")
+        }
+
+        // to test the property `y` - The y-coordinate where the scroll
+        // occurred.
+        should("test y") {
+            // uncomment below to test the property
+            // modelInstance.y shouldBe ("TODO")
+        }
+
+        // to test the property `path` - An array of coordinates representing
+        // the path of the drag action. Coordinates will appear as an array of
+        // objects, eg ``` [   { x: 100, y: 200 },   { x: 200, y: 300 } ] ```
+        should("test path") {
+            // uncomment below to test the property
+            // modelInstance.path shouldBe ("TODO")
+        }
+
+        // to test the property `propertyKeys` - The combination of keys the
+        // model is requesting to be pressed. This is an array of strings, each
+        // representing a key.
+        should("test propertyKeys") {
+            // uncomment below to test the property
+            // modelInstance.propertyKeys shouldBe ("TODO")
+        }
+
+        // to test the property `scrollX` - The horizontal scroll distance.
+        should("test scrollX") {
+            // uncomment below to test the property
+            // modelInstance.scrollX shouldBe ("TODO")
+        }
+
+        // to test the property `scrollY` - The vertical scroll distance.
+        should("test scrollY") {
+            // uncomment below to test the property
+            // modelInstance.scrollY shouldBe ("TODO")
+        }
+
+        // to test the property `text` - The text to type.
+        should("test text") {
+            // uncomment below to test the property
+            // modelInstance.text shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ComputerScreenshotImageTest.kt b/lib/src/test/kotlin/com/openai/models/ComputerScreenshotImageTest.kt
new file mode 100644
index 00000000..8c1eb23e
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ComputerScreenshotImageTest.kt
@@ -0,0 +1,42 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ComputerScreenshotImageTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ComputerScreenshotImage
+        // val modelInstance = ComputerScreenshotImage()
+
+        // to test the property `type` - Specifies the event type. For a
+        // computer screenshot, this property is  always set to
+        // `computer_screenshot`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `imageUrl` - The URL of the screenshot image.
+        should("test imageUrl") {
+            // uncomment below to test the property
+            // modelInstance.imageUrl shouldBe ("TODO")
+        }
+
+        // to test the property `fileId` - The identifier of an uploaded file
+        // that contains the screenshot.
+        should("test fileId") {
+            // uncomment below to test the property
+            // modelInstance.fileId shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ComputerToolCallOutputResourceTest.kt b/lib/src/test/kotlin/com/openai/models/ComputerToolCallOutputResourceTest.kt
new file mode 100644
index 00000000..701685dc
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ComputerToolCallOutputResourceTest.kt
@@ -0,0 +1,64 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ComputerToolCallOutputResourceTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // ComputerToolCallOutputResource
+        // val modelInstance = ComputerToolCallOutputResource()
+
+        // to test the property `type` - The type of the computer tool call
+        // output. Always `computer_call_output`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `id` - The unique ID of the computer call tool
+        // output.
+        should("test id") {
+            // uncomment below to test the property
+            // modelInstance.id shouldBe ("TODO")
+        }
+
+        // to test the property `callId` - The ID of the computer tool call that
+        // produced the output.
+        should("test callId") {
+            // uncomment below to test the property
+            // modelInstance.callId shouldBe ("TODO")
+        }
+
+        // to test the property `output`
+        should("test output") {
+            // uncomment below to test the property
+            // modelInstance.output shouldBe ("TODO")
+        }
+
+        // to test the property `acknowledgedSafetyChecks` - The safety checks
+        // reported by the API that have been acknowledged by the  developer.
+        should("test acknowledgedSafetyChecks") {
+            // uncomment below to test the property
+            // modelInstance.acknowledgedSafetyChecks shouldBe ("TODO")
+        }
+
+        // to test the property `status` - The status of the message input. One
+        // of `in_progress`, `completed`, or `incomplete`. Populated when input
+        // items are returned via API.
+        should("test status") {
+            // uncomment below to test the property
+            // modelInstance.status shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ComputerToolCallOutputTest.kt b/lib/src/test/kotlin/com/openai/models/ComputerToolCallOutputTest.kt
new file mode 100644
index 00000000..029e5653
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ComputerToolCallOutputTest.kt
@@ -0,0 +1,62 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ComputerToolCallOutputTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ComputerToolCallOutput
+        // val modelInstance = ComputerToolCallOutput()
+
+        // to test the property `type` - The type of the computer tool call
+        // output. Always `computer_call_output`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `callId` - The ID of the computer tool call that
+        // produced the output.
+        should("test callId") {
+            // uncomment below to test the property
+            // modelInstance.callId shouldBe ("TODO")
+        }
+
+        // to test the property `output`
+        should("test output") {
+            // uncomment below to test the property
+            // modelInstance.output shouldBe ("TODO")
+        }
+
+        // to test the property `id` - The ID of the computer tool call output.
+        should("test id") {
+            // uncomment below to test the property
+            // modelInstance.id shouldBe ("TODO")
+        }
+
+        // to test the property `acknowledgedSafetyChecks` - The safety checks
+        // reported by the API that have been acknowledged by the  developer.
+        should("test acknowledgedSafetyChecks") {
+            // uncomment below to test the property
+            // modelInstance.acknowledgedSafetyChecks shouldBe ("TODO")
+        }
+
+        // to test the property `status` - The status of the message input. One
+        // of `in_progress`, `completed`, or `incomplete`. Populated when input
+        // items are returned via API.
+        should("test status") {
+            // uncomment below to test the property
+            // modelInstance.status shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ComputerToolCallSafetyCheckTest.kt b/lib/src/test/kotlin/com/openai/models/ComputerToolCallSafetyCheckTest.kt
new file mode 100644
index 00000000..2b31402c
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ComputerToolCallSafetyCheckTest.kt
@@ -0,0 +1,40 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ComputerToolCallSafetyCheckTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ComputerToolCallSafetyCheck
+        // val modelInstance = ComputerToolCallSafetyCheck()
+
+        // to test the property `id` - The ID of the pending safety check.
+        should("test id") {
+            // uncomment below to test the property
+            // modelInstance.id shouldBe ("TODO")
+        }
+
+        // to test the property `code` - The type of the pending safety check.
+        should("test code") {
+            // uncomment below to test the property
+            // modelInstance.code shouldBe ("TODO")
+        }
+
+        // to test the property `message` - Details about the pending safety
+        // check.
+        should("test message") {
+            // uncomment below to test the property
+            // modelInstance.message shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ComputerToolCallTest.kt b/lib/src/test/kotlin/com/openai/models/ComputerToolCallTest.kt
new file mode 100644
index 00000000..0b54dd4b
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ComputerToolCallTest.kt
@@ -0,0 +1,62 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ComputerToolCallTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ComputerToolCall
+        // val modelInstance = ComputerToolCall()
+
+        // to test the property `type` - The type of the computer call. Always
+        // `computer_call`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `id` - The unique ID of the computer call.
+        should("test id") {
+            // uncomment below to test the property
+            // modelInstance.id shouldBe ("TODO")
+        }
+
+        // to test the property `callId` - An identifier used when responding to
+        // the tool call with output.
+        should("test callId") {
+            // uncomment below to test the property
+            // modelInstance.callId shouldBe ("TODO")
+        }
+
+        // to test the property `action`
+        should("test action") {
+            // uncomment below to test the property
+            // modelInstance.action shouldBe ("TODO")
+        }
+
+        // to test the property `pendingSafetyChecks` - The pending safety
+        // checks for the computer call.
+        should("test pendingSafetyChecks") {
+            // uncomment below to test the property
+            // modelInstance.pendingSafetyChecks shouldBe ("TODO")
+        }
+
+        // to test the property `status` - The status of the item. One of
+        // `in_progress`, `completed`, or `incomplete`. Populated when items are
+        // returned via API.
+        should("test status") {
+            // uncomment below to test the property
+            // modelInstance.status shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ComputerToolTest.kt b/lib/src/test/kotlin/com/openai/models/ComputerToolTest.kt
new file mode 100644
index 00000000..5c6df94d
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ComputerToolTest.kt
@@ -0,0 +1,49 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ComputerToolTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ComputerTool
+        // val modelInstance = ComputerTool()
+
+        // to test the property `type` - The type of the computer use tool.
+        // Always `computer_use_preview`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `displayWidth` - The width of the computer
+        // display.
+        should("test displayWidth") {
+            // uncomment below to test the property
+            // modelInstance.displayWidth shouldBe ("TODO")
+        }
+
+        // to test the property `displayHeight` - The height of the computer
+        // display.
+        should("test displayHeight") {
+            // uncomment below to test the property
+            // modelInstance.displayHeight shouldBe ("TODO")
+        }
+
+        // to test the property `environment` - The type of computer environment
+        // to control.
+        should("test environment") {
+            // uncomment below to test the property
+            // modelInstance.environment shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ContentTest.kt b/lib/src/test/kotlin/com/openai/models/ContentTest.kt
new file mode 100644
index 00000000..3d3bc008
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ContentTest.kt
@@ -0,0 +1,85 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ContentTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of Content
+        // val modelInstance = Content()
+
+        // to test the property `type` - The type of the input item. Always
+        // `input_file`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `text` - The text output from the model.
+        should("test text") {
+            // uncomment below to test the property
+            // modelInstance.text shouldBe ("TODO")
+        }
+
+        // to test the property `detail` - The detail level of the image to be
+        // sent to the model. One of `high`, `low`, or `auto`. Defaults to
+        // `auto`.
+        should("test detail") {
+            // uncomment below to test the property
+            // modelInstance.detail shouldBe ("TODO")
+        }
+
+        // to test the property `annotations` - The annotations of the text
+        // output.
+        should("test annotations") {
+            // uncomment below to test the property
+            // modelInstance.annotations shouldBe ("TODO")
+        }
+
+        // to test the property `refusal` - The refusal explanationfrom the
+        // model.
+        should("test refusal") {
+            // uncomment below to test the property
+            // modelInstance.refusal shouldBe ("TODO")
+        }
+
+        // to test the property `imageUrl` - The URL of the image to be sent to
+        // the model. A fully qualified URL or base64 encoded image in a data
+        // URL.
+        should("test imageUrl") {
+            // uncomment below to test the property
+            // modelInstance.imageUrl shouldBe ("TODO")
+        }
+
+        // to test the property `fileId` - The ID of the file to be sent to the
+        // model.
+        should("test fileId") {
+            // uncomment below to test the property
+            // modelInstance.fileId shouldBe ("TODO")
+        }
+
+        // to test the property `filename` - The name of the file to be sent to
+        // the model.
+        should("test filename") {
+            // uncomment below to test the property
+            // modelInstance.filename shouldBe ("TODO")
+        }
+
+        // to test the property `fileData` - The content of the file to be sent
+        // to the model.
+        should("test fileData") {
+            // uncomment below to test the property
+            // modelInstance.fileData shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/CoordinateTest.kt b/lib/src/test/kotlin/com/openai/models/CoordinateTest.kt
new file mode 100644
index 00000000..d8faa4ec
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/CoordinateTest.kt
@@ -0,0 +1,33 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class CoordinateTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of Coordinate
+        // val modelInstance = Coordinate()
+
+        // to test the property `x` - The x-coordinate.
+        should("test x") {
+            // uncomment below to test the property
+            // modelInstance.x shouldBe ("TODO")
+        }
+
+        // to test the property `y` - The y-coordinate.
+        should("test y") {
+            // uncomment below to test the property
+            // modelInstance.y shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/CreateBatchRequestTest.kt b/lib/src/test/kotlin/com/openai/models/CreateBatchRequestTest.kt
index c7180003..16728681 100644
--- a/lib/src/test/kotlin/com/openai/models/CreateBatchRequestTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/CreateBatchRequestTest.kt
@@ -31,10 +31,11 @@ class CreateBatchRequestTest : ShouldSpec() {
         }
 
         // to test the property `endpoint` - The endpoint to be used for all
-        // requests in the batch. Currently `/v1/chat/completions`,
-        // `/v1/embeddings`, and `/v1/completions` are supported. Note that
-        // `/v1/embeddings` batches are also restricted to a maximum of 50,000
-        // embedding inputs across all requests in the batch.
+        // requests in the batch. Currently `/v1/responses`,
+        // `/v1/chat/completions`, `/v1/embeddings`, and `/v1/completions` are
+        // supported. Note that `/v1/embeddings` batches are also restricted to
+        // a maximum of 50,000 embedding inputs across all requests in the
+        // batch.
         should("test endpoint") {
             // uncomment below to test the property
             // modelInstance.endpoint shouldBe ("TODO")
diff --git a/lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestAudioTest.kt b/lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestAllOfAudioTest.kt
similarity index 64%
rename from lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestAudioTest.kt
rename to lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestAllOfAudioTest.kt
index 0b1a78b4..63f8f1ae 100644
--- a/lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestAudioTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestAllOfAudioTest.kt
@@ -13,16 +13,13 @@ package com.openai.models
 
 import io.kotlintest.specs.ShouldSpec
 
-class CreateChatCompletionRequestAudioTest : ShouldSpec() {
+class CreateChatCompletionRequestAllOfAudioTest : ShouldSpec() {
     init {
         // uncomment below to create an instance of
-        // CreateChatCompletionRequestAudio
-        // val modelInstance = CreateChatCompletionRequestAudio()
+        // CreateChatCompletionRequestAllOfAudio
+        // val modelInstance = CreateChatCompletionRequestAllOfAudio()
 
-        // to test the property `voice` - The voice the model uses to respond.
-        // Supported voices are `ash`, `ballad`, `coral`, `sage`, and `verse`
-        // (also supported but not recommended are `alloy`, `echo`, and
-        // `shimmer`; these voices are less expressive).
+        // to test the property `voice`
         should("test voice") {
             // uncomment below to test the property
             // modelInstance.voice shouldBe ("TODO")
diff --git a/lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestFunctionCallTest.kt b/lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestAllOfFunctionCallTest.kt
similarity index 75%
rename from lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestFunctionCallTest.kt
rename to lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestAllOfFunctionCallTest.kt
index 1e1bc15a..f55587a5 100644
--- a/lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestFunctionCallTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestAllOfFunctionCallTest.kt
@@ -13,11 +13,11 @@ package com.openai.models
 
 import io.kotlintest.specs.ShouldSpec
 
-class CreateChatCompletionRequestFunctionCallTest : ShouldSpec() {
+class CreateChatCompletionRequestAllOfFunctionCallTest : ShouldSpec() {
     init {
         // uncomment below to create an instance of
-        // CreateChatCompletionRequestFunctionCall
-        // val modelInstance = CreateChatCompletionRequestFunctionCall()
+        // CreateChatCompletionRequestAllOfFunctionCall
+        // val modelInstance = CreateChatCompletionRequestAllOfFunctionCall()
 
         // to test the property `name` - The name of the function to call.
         should("test name") {
diff --git a/lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestPredictionTest.kt b/lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestAllOfPredictionTest.kt
similarity index 81%
rename from lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestPredictionTest.kt
rename to lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestAllOfPredictionTest.kt
index aeae85aa..3fa4840f 100644
--- a/lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestPredictionTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestAllOfPredictionTest.kt
@@ -13,11 +13,11 @@ package com.openai.models
 
 import io.kotlintest.specs.ShouldSpec
 
-class CreateChatCompletionRequestPredictionTest : ShouldSpec() {
+class CreateChatCompletionRequestAllOfPredictionTest : ShouldSpec() {
     init {
         // uncomment below to create an instance of
-        // CreateChatCompletionRequestPrediction
-        // val modelInstance = CreateChatCompletionRequestPrediction()
+        // CreateChatCompletionRequestAllOfPrediction
+        // val modelInstance = CreateChatCompletionRequestAllOfPrediction()
 
         // to test the property `type` - The type of the predicted content you
         // want to provide. This type is currently always `content`.
diff --git a/lib/src/test/kotlin/com/openai/models/AssistantObjectResponseFormatTest.kt b/lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestAllOfResponseFormatTest.kt
similarity index 76%
rename from lib/src/test/kotlin/com/openai/models/AssistantObjectResponseFormatTest.kt
rename to lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestAllOfResponseFormatTest.kt
index 21f0b928..5890d924 100644
--- a/lib/src/test/kotlin/com/openai/models/AssistantObjectResponseFormatTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestAllOfResponseFormatTest.kt
@@ -13,14 +13,14 @@ package com.openai.models
 
 import io.kotlintest.specs.ShouldSpec
 
-class AssistantObjectResponseFormatTest : ShouldSpec() {
+class CreateChatCompletionRequestAllOfResponseFormatTest : ShouldSpec() {
     init {
         // uncomment below to create an instance of
-        // AssistantObjectResponseFormat
-        // val modelInstance = AssistantObjectResponseFormat()
+        // CreateChatCompletionRequestAllOfResponseFormat
+        // val modelInstance = CreateChatCompletionRequestAllOfResponseFormat()
 
         // to test the property `type` - The type of response format being
-        // defined: `json_schema`
+        // defined. Always `text`.
         should("test type") {
             // uncomment below to test the property
             // modelInstance.type shouldBe ("TODO")
diff --git a/lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestTest.kt b/lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestTest.kt
index 7564356c..bb7f5092 100644
--- a/lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestTest.kt
@@ -34,13 +34,54 @@ class CreateChatCompletionRequestTest : ShouldSpec() {
             // modelInstance.model shouldBe ("TODO")
         }
 
-        // to test the property `store` - Whether or not to store the output of
-        // this chat completion request for  use in our [model
-        // distillation](/docs/guides/distillation) or
-        // [evals](/docs/guides/evals) products.
-        should("test store") {
+        // to test the property `metadata` - Set of 16 key-value pairs that can
+        // be attached to an object. This can be useful for storing additional
+        // information about the object in a structured format, and querying for
+        // objects via API or the dashboard.   Keys are strings with a maximum
+        // length of 64 characters. Values are strings with a maximum length of
+        // 512 characters.
+        should("test metadata") {
             // uncomment below to test the property
-            // modelInstance.store shouldBe ("TODO")
+            // modelInstance.metadata shouldBe ("TODO")
+        }
+
+        // to test the property `temperature` - What sampling temperature to
+        // use, between 0 and 2. Higher values like 0.8 will make the output
+        // more random, while lower values like 0.2 will make it more focused
+        // and deterministic. We generally recommend altering this or `top_p`
+        // but not both.
+        should("test temperature") {
+            // uncomment below to test the property
+            // modelInstance.temperature shouldBe ("TODO")
+        }
+
+        // to test the property `topP` - An alternative to sampling with
+        // temperature, called nucleus sampling, where the model considers the
+        // results of the tokens with top_p probability mass. So 0.1 means only
+        // the tokens comprising the top 10% probability mass are considered.
+        // We generally recommend altering this or `temperature` but not both.
+        should("test topP") {
+            // uncomment below to test the property
+            // modelInstance.topP shouldBe ("TODO")
+        }
+
+        // to test the property `user` - A unique identifier representing your
+        // end-user, which can help OpenAI to monitor and detect abuse. [Learn
+        // more](/docs/guides/safety-best-practices#end-user-ids).
+        should("test user") {
+            // uncomment below to test the property
+            // modelInstance.user shouldBe ("TODO")
+        }
+
+        // to test the property `modalities` - Output types that you would like
+        // the model to generate. Most models are capable of generating text,
+        // which is the default:  `[\"text\"]`  The `gpt-4o-audio-preview` model
+        // can also be used to  [generate audio](/docs/guides/audio). To request
+        // that this model generate  both text and audio responses, you can use:
+        //  `[\"text\", \"audio\"]`
+        should("test modalities") {
+            // uncomment below to test the property
+            // modelInstance.modalities shouldBe ("TODO")
         }
 
         // to test the property `reasoningEffort`
@@ -49,15 +90,12 @@ class CreateChatCompletionRequestTest : ShouldSpec() {
             // modelInstance.reasoningEffort shouldBe ("TODO")
         }
 
-        // to test the property `metadata` - Set of 16 key-value pairs that can
-        // be attached to an object. This can be useful for storing additional
-        // information about the object in a structured format, and querying for
-        // objects via API or the dashboard.   Keys are strings with a maximum
-        // length of 64 characters. Values are strings with a maximum length of
-        // 512 characters.
-        should("test metadata") {
+        // to test the property `maxCompletionTokens` - An upper bound for the
+        // number of tokens that can be generated for a completion, including
+        // visible output tokens and [reasoning tokens](/docs/guides/reasoning).
+        should("test maxCompletionTokens") {
             // uncomment below to test the property
-            // modelInstance.metadata shouldBe ("TODO")
+            // modelInstance.maxCompletionTokens shouldBe ("TODO")
         }
 
         // to test the property `frequencyPenalty` - Number between -2.0 and
@@ -69,6 +107,83 @@ class CreateChatCompletionRequestTest : ShouldSpec() {
             // modelInstance.frequencyPenalty shouldBe ("TODO")
         }
 
+        // to test the property `presencePenalty` - Number between -2.0 and 2.0.
+        // Positive values penalize new tokens based on whether they appear in
+        // the text so far, increasing the model's likelihood to talk about new
+        // topics.
+        should("test presencePenalty") {
+            // uncomment below to test the property
+            // modelInstance.presencePenalty shouldBe ("TODO")
+        }
+
+        // to test the property `webSearchOptions`
+        should("test webSearchOptions") {
+            // uncomment below to test the property
+            // modelInstance.webSearchOptions shouldBe ("TODO")
+        }
+
+        // to test the property `topLogprobs` - An integer between 0 and 20
+        // specifying the number of most likely tokens to return at each token
+        // position, each with an associated log probability. `logprobs` must be
+        // set to `true` if this parameter is used.
+        should("test topLogprobs") {
+            // uncomment below to test the property
+            // modelInstance.topLogprobs shouldBe ("TODO")
+        }
+
+        // to test the property `responseFormat`
+        should("test responseFormat") {
+            // uncomment below to test the property
+            // modelInstance.responseFormat shouldBe ("TODO")
+        }
+
+        // to test the property `serviceTier` - Specifies the latency tier to
+        // use for processing the request. This parameter is relevant for
+        // customers subscribed to the scale tier service:   - If set to 'auto',
+        // and the Project is Scale tier enabled, the system     will utilize
+        // scale tier credits until they are exhausted.   - If set to 'auto',
+        // and the Project is not Scale tier enabled, the request will be
+        // processed using the default service tier with a lower uptime SLA and
+        // no latency guarentee.   - If set to 'default', the request will be
+        // processed using the default service tier with a lower uptime SLA and
+        // no latency guarentee.   - When not set, the default behavior is
+        // 'auto'.    When this parameter is set, the response body will include
+        // the `service_tier` utilized.
+        should("test serviceTier") {
+            // uncomment below to test the property
+            // modelInstance.serviceTier shouldBe ("TODO")
+        }
+
+        // to test the property `audio`
+        should("test audio") {
+            // uncomment below to test the property
+            // modelInstance.audio shouldBe ("TODO")
+        }
+
+        // to test the property `store` - Whether or not to store the output of
+        // this chat completion request for  use in our [model
+        // distillation](/docs/guides/distillation) or
+        // [evals](/docs/guides/evals) products.
+        should("test store") {
+            // uncomment below to test the property
+            // modelInstance.store shouldBe ("TODO")
+        }
+
+        // to test the property `stream` - If set to true, the model response
+        // data will be streamed to the client as it is generated using
+        // [server-sent
+        // events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format). See the [Streaming section below](/docs/api-reference/chat/streaming) for more information, along with the [streaming responses](/docs/guides/streaming-responses) guide for more information on how to handle the streaming events.
+        should("test stream") {
+            // uncomment below to test the property
+            // modelInstance.stream shouldBe ("TODO")
+        }
+
+        // to test the property `stop`
+        should("test stop") {
+            // uncomment below to test the property
+            // modelInstance.stop shouldBe ("TODO")
+        }
+
         // to test the property `logitBias` - Modify the likelihood of specified
         // tokens appearing in the completion.  Accepts a JSON object that maps
         // tokens (specified by their token ID in the tokenizer) to an
@@ -90,15 +205,6 @@ class CreateChatCompletionRequestTest : ShouldSpec() {
             // modelInstance.logprobs shouldBe ("TODO")
         }
 
-        // to test the property `topLogprobs` - An integer between 0 and 20
-        // specifying the number of most likely tokens to return at each token
-        // position, each with an associated log probability. `logprobs` must be
-        // set to `true` if this parameter is used.
-        should("test topLogprobs") {
-            // uncomment below to test the property
-            // modelInstance.topLogprobs shouldBe ("TODO")
-        }
-
         // to test the property `maxTokens` - The maximum number of
         // [tokens](/tokenizer) that can be generated in the chat completion.
         // This value can be used to control
@@ -110,14 +216,6 @@ class CreateChatCompletionRequestTest : ShouldSpec() {
             // modelInstance.maxTokens shouldBe ("TODO")
         }
 
-        // to test the property `maxCompletionTokens` - An upper bound for the
-        // number of tokens that can be generated for a completion, including
-        // visible output tokens and [reasoning tokens](/docs/guides/reasoning).
-        should("test maxCompletionTokens") {
-            // uncomment below to test the property
-            // modelInstance.maxCompletionTokens shouldBe ("TODO")
-        }
-
         // to test the property `n` - How many chat completion choices to
         // generate for each input message. Note that you will be charged based
         // on the number of generated tokens across all of the choices. Keep `n`
@@ -127,44 +225,12 @@ class CreateChatCompletionRequestTest : ShouldSpec() {
             // modelInstance.n shouldBe ("TODO")
         }
 
-        // to test the property `modalities` - Output types that you would like
-        // the model to generate for this request. Most models are capable of
-        // generating text, which is the default:  `[\"text\"]`  The
-        // `gpt-4o-audio-preview` model can also be used to [generate
-        // audio](/docs/guides/audio). To request that this model generate both
-        // text and audio responses, you can use:  `[\"text\", \"audio\"]`
-        should("test modalities") {
-            // uncomment below to test the property
-            // modelInstance.modalities shouldBe ("TODO")
-        }
-
         // to test the property `prediction`
         should("test prediction") {
             // uncomment below to test the property
             // modelInstance.prediction shouldBe ("TODO")
         }
 
-        // to test the property `audio`
-        should("test audio") {
-            // uncomment below to test the property
-            // modelInstance.audio shouldBe ("TODO")
-        }
-
-        // to test the property `presencePenalty` - Number between -2.0 and 2.0.
-        // Positive values penalize new tokens based on whether they appear in
-        // the text so far, increasing the model's likelihood to talk about new
-        // topics.
-        should("test presencePenalty") {
-            // uncomment below to test the property
-            // modelInstance.presencePenalty shouldBe ("TODO")
-        }
-
-        // to test the property `responseFormat`
-        should("test responseFormat") {
-            // uncomment below to test the property
-            // modelInstance.responseFormat shouldBe ("TODO")
-        }
-
         // to test the property `seed` - This feature is in Beta. If specified,
         // our system will make a best effort to sample deterministically, such
         // that repeated requests with the same `seed` and parameters should
@@ -176,62 +242,12 @@ class CreateChatCompletionRequestTest : ShouldSpec() {
             // modelInstance.seed shouldBe ("TODO")
         }
 
-        // to test the property `serviceTier` - Specifies the latency tier to
-        // use for processing the request. This parameter is relevant for
-        // customers subscribed to the scale tier service:   - If set to 'auto',
-        // and the Project is Scale tier enabled, the system will utilize scale
-        // tier credits until they are exhausted.   - If set to 'auto', and the
-        // Project is not Scale tier enabled, the request will be processed
-        // using the default service tier with a lower uptime SLA and no latency
-        // guarantee.   - If set to 'default', the request will be processed
-        // using the default service tier with a lower uptime SLA and no latency
-        // guarantee.   - When not set, the default behavior is 'auto'.
-        should("test serviceTier") {
-            // uncomment below to test the property
-            // modelInstance.serviceTier shouldBe ("TODO")
-        }
-
-        // to test the property `stop`
-        should("test stop") {
-            // uncomment below to test the property
-            // modelInstance.stop shouldBe ("TODO")
-        }
-
-        // to test the property `stream` - If set, partial message deltas will
-        // be sent, like in ChatGPT. Tokens will be sent as data-only
-        // [server-sent
-        // events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format) as they become available, with the stream terminated by a `data: [DONE]` message. [Example Python code](https://cookbook.openai.com/examples/how_to_stream_completions).
-        should("test stream") {
-            // uncomment below to test the property
-            // modelInstance.stream shouldBe ("TODO")
-        }
-
         // to test the property `streamOptions`
         should("test streamOptions") {
             // uncomment below to test the property
             // modelInstance.streamOptions shouldBe ("TODO")
         }
 
-        // to test the property `temperature` - What sampling temperature to
-        // use, between 0 and 2. Higher values like 0.8 will make the output
-        // more random, while lower values like 0.2 will make it more focused
-        // and deterministic. We generally recommend altering this or `top_p`
-        // but not both.
-        should("test temperature") {
-            // uncomment below to test the property
-            // modelInstance.temperature shouldBe ("TODO")
-        }
-
-        // to test the property `topP` - An alternative to sampling with
-        // temperature, called nucleus sampling, where the model considers the
-        // results of the tokens with top_p probability mass. So 0.1 means only
-        // the tokens comprising the top 10% probability mass are considered.
-        // We generally recommend altering this or `temperature` but not both.
-        should("test topP") {
-            // uncomment below to test the property
-            // modelInstance.topP shouldBe ("TODO")
-        }
-
         // to test the property `tools` - A list of tools the model may call.
         // Currently, only functions are supported as a tool. Use this to
         // provide a list of functions the model may generate JSON inputs for. A
@@ -255,14 +271,6 @@ class CreateChatCompletionRequestTest : ShouldSpec() {
             // modelInstance.parallelToolCalls shouldBe ("TODO")
         }
 
-        // to test the property `user` - A unique identifier representing your
-        // end-user, which can help OpenAI to monitor and detect abuse. [Learn
-        // more](/docs/guides/safety-best-practices#end-user-ids).
-        should("test user") {
-            // uncomment below to test the property
-            // modelInstance.user shouldBe ("TODO")
-        }
-
         // to test the property `functionCall`
         should("test functionCall") {
             // uncomment below to test the property
diff --git a/lib/src/test/kotlin/com/openai/models/CreateChatCompletionStreamResponseUsageTest.kt b/lib/src/test/kotlin/com/openai/models/CreateChatCompletionStreamResponseUsageTest.kt
deleted file mode 100644
index 23d25631..00000000
--- a/lib/src/test/kotlin/com/openai/models/CreateChatCompletionStreamResponseUsageTest.kt
+++ /dev/null
@@ -1,42 +0,0 @@
-/**
- * Please note: This class is auto generated by OpenAPI Generator
- * (https://openapi-generator.tech). Do not edit this file manually.
- */
-@file:Suppress(
-    "ArrayInDataClass",
-    "EnumEntryName",
-    "RemoveRedundantQualifierName",
-    "UnusedImport",
-)
-
-package com.openai.models
-
-import io.kotlintest.specs.ShouldSpec
-
-class CreateChatCompletionStreamResponseUsageTest : ShouldSpec() {
-    init {
-        // uncomment below to create an instance of
-        // CreateChatCompletionStreamResponseUsage
-        // val modelInstance = CreateChatCompletionStreamResponseUsage()
-
-        // to test the property `completionTokens` - Number of tokens in the
-        // generated completion.
-        should("test completionTokens") {
-            // uncomment below to test the property
-            // modelInstance.completionTokens shouldBe ("TODO")
-        }
-
-        // to test the property `promptTokens` - Number of tokens in the prompt.
-        should("test promptTokens") {
-            // uncomment below to test the property
-            // modelInstance.promptTokens shouldBe ("TODO")
-        }
-
-        // to test the property `totalTokens` - Total number of tokens used in
-        // the request (prompt + completion).
-        should("test totalTokens") {
-            // uncomment below to test the property
-            // modelInstance.totalTokens shouldBe ("TODO")
-        }
-    }
-}
diff --git a/lib/src/test/kotlin/com/openai/models/CreateFineTuningCheckpointPermissionRequestTest.kt b/lib/src/test/kotlin/com/openai/models/CreateFineTuningCheckpointPermissionRequestTest.kt
new file mode 100644
index 00000000..66e3b26b
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/CreateFineTuningCheckpointPermissionRequestTest.kt
@@ -0,0 +1,29 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class CreateFineTuningCheckpointPermissionRequestTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // CreateFineTuningCheckpointPermissionRequest
+        // val modelInstance = CreateFineTuningCheckpointPermissionRequest()
+
+        // to test the property `projectIds` - The project identifiers to grant
+        // access to.
+        should("test projectIds") {
+            // uncomment below to test the property
+            // modelInstance.projectIds shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/CreateFineTuningJobRequestTest.kt b/lib/src/test/kotlin/com/openai/models/CreateFineTuningJobRequestTest.kt
index 6024b558..7b591757 100644
--- a/lib/src/test/kotlin/com/openai/models/CreateFineTuningJobRequestTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/CreateFineTuningJobRequestTest.kt
@@ -90,5 +90,16 @@ class CreateFineTuningJobRequestTest : ShouldSpec() {
             // uncomment below to test the property
             // modelInstance.method shouldBe ("TODO")
         }
+
+        // to test the property `metadata` - Set of 16 key-value pairs that can
+        // be attached to an object. This can be useful for storing additional
+        // information about the object in a structured format, and querying for
+        // objects via API or the dashboard.   Keys are strings with a maximum
+        // length of 64 characters. Values are strings with a maximum length of
+        // 512 characters.
+        should("test metadata") {
+            // uncomment below to test the property
+            // modelInstance.metadata shouldBe ("TODO")
+        }
     }
 }
diff --git a/lib/src/test/kotlin/com/openai/models/CreateModelResponsePropertiesTest.kt b/lib/src/test/kotlin/com/openai/models/CreateModelResponsePropertiesTest.kt
new file mode 100644
index 00000000..161fd804
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/CreateModelResponsePropertiesTest.kt
@@ -0,0 +1,61 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class CreateModelResponsePropertiesTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // CreateModelResponseProperties
+        // val modelInstance = CreateModelResponseProperties()
+
+        // to test the property `metadata` - Set of 16 key-value pairs that can
+        // be attached to an object. This can be useful for storing additional
+        // information about the object in a structured format, and querying for
+        // objects via API or the dashboard.   Keys are strings with a maximum
+        // length of 64 characters. Values are strings with a maximum length of
+        // 512 characters.
+        should("test metadata") {
+            // uncomment below to test the property
+            // modelInstance.metadata shouldBe ("TODO")
+        }
+
+        // to test the property `temperature` - What sampling temperature to
+        // use, between 0 and 2. Higher values like 0.8 will make the output
+        // more random, while lower values like 0.2 will make it more focused
+        // and deterministic. We generally recommend altering this or `top_p`
+        // but not both.
+        should("test temperature") {
+            // uncomment below to test the property
+            // modelInstance.temperature shouldBe ("TODO")
+        }
+
+        // to test the property `topP` - An alternative to sampling with
+        // temperature, called nucleus sampling, where the model considers the
+        // results of the tokens with top_p probability mass. So 0.1 means only
+        // the tokens comprising the top 10% probability mass are considered.
+        // We generally recommend altering this or `temperature` but not both.
+        should("test topP") {
+            // uncomment below to test the property
+            // modelInstance.topP shouldBe ("TODO")
+        }
+
+        // to test the property `user` - A unique identifier representing your
+        // end-user, which can help OpenAI to monitor and detect abuse. [Learn
+        // more](/docs/guides/safety-best-practices#end-user-ids).
+        should("test user") {
+            // uncomment below to test the property
+            // modelInstance.user shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/CreateResponseAllOfInputTest.kt b/lib/src/test/kotlin/com/openai/models/CreateResponseAllOfInputTest.kt
new file mode 100644
index 00000000..a7720365
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/CreateResponseAllOfInputTest.kt
@@ -0,0 +1,22 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class CreateResponseAllOfInputTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of CreateResponseAllOfInput
+        // val modelInstance = CreateResponseAllOfInput()
+
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/CreateResponseTest.kt b/lib/src/test/kotlin/com/openai/models/CreateResponseTest.kt
new file mode 100644
index 00000000..a5621e72
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/CreateResponseTest.kt
@@ -0,0 +1,181 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class CreateResponseTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of CreateResponse
+        // val modelInstance = CreateResponse()
+
+        // to test the property `model`
+        should("test model") {
+            // uncomment below to test the property
+            // modelInstance.model shouldBe ("TODO")
+        }
+
+        // to test the property `input`
+        should("test input") {
+            // uncomment below to test the property
+            // modelInstance.input shouldBe ("TODO")
+        }
+
+        // to test the property `metadata` - Set of 16 key-value pairs that can
+        // be attached to an object. This can be useful for storing additional
+        // information about the object in a structured format, and querying for
+        // objects via API or the dashboard.   Keys are strings with a maximum
+        // length of 64 characters. Values are strings with a maximum length of
+        // 512 characters.
+        should("test metadata") {
+            // uncomment below to test the property
+            // modelInstance.metadata shouldBe ("TODO")
+        }
+
+        // to test the property `temperature` - What sampling temperature to
+        // use, between 0 and 2. Higher values like 0.8 will make the output
+        // more random, while lower values like 0.2 will make it more focused
+        // and deterministic. We generally recommend altering this or `top_p`
+        // but not both.
+        should("test temperature") {
+            // uncomment below to test the property
+            // modelInstance.temperature shouldBe ("TODO")
+        }
+
+        // to test the property `topP` - An alternative to sampling with
+        // temperature, called nucleus sampling, where the model considers the
+        // results of the tokens with top_p probability mass. So 0.1 means only
+        // the tokens comprising the top 10% probability mass are considered.
+        // We generally recommend altering this or `temperature` but not both.
+        should("test topP") {
+            // uncomment below to test the property
+            // modelInstance.topP shouldBe ("TODO")
+        }
+
+        // to test the property `user` - A unique identifier representing your
+        // end-user, which can help OpenAI to monitor and detect abuse. [Learn
+        // more](/docs/guides/safety-best-practices#end-user-ids).
+        should("test user") {
+            // uncomment below to test the property
+            // modelInstance.user shouldBe ("TODO")
+        }
+
+        // to test the property `previousResponseId` - The unique ID of the
+        // previous response to the model. Use this to create multi-turn
+        // conversations. Learn more about  [conversation
+        // state](/docs/guides/conversation-state).
+        should("test previousResponseId") {
+            // uncomment below to test the property
+            // modelInstance.previousResponseId shouldBe ("TODO")
+        }
+
+        // to test the property `reasoning`
+        should("test reasoning") {
+            // uncomment below to test the property
+            // modelInstance.reasoning shouldBe ("TODO")
+        }
+
+        // to test the property `maxOutputTokens` - An upper bound for the
+        // number of tokens that can be generated for a response, including
+        // visible output tokens and [reasoning tokens](/docs/guides/reasoning).
+        should("test maxOutputTokens") {
+            // uncomment below to test the property
+            // modelInstance.maxOutputTokens shouldBe ("TODO")
+        }
+
+        // to test the property `instructions` - Inserts a system (or developer)
+        // message as the first item in the model's context.  When using along
+        // with `previous_response_id`, the instructions from a previous
+        // response will be not be carried over to the next response. This makes
+        // it simple to swap out system (or developer) messages in new
+        // responses.
+        should("test instructions") {
+            // uncomment below to test the property
+            // modelInstance.instructions shouldBe ("TODO")
+        }
+
+        // to test the property `text`
+        should("test text") {
+            // uncomment below to test the property
+            // modelInstance.text shouldBe ("TODO")
+        }
+
+        // to test the property `tools` - An array of tools the model may call
+        // while generating a response. You  can specify which tool to use by
+        // setting the `tool_choice` parameter.  The two categories of tools you
+        // can provide the model are:  - **Built-in tools**: Tools that are
+        // provided by OpenAI that extend the   model's capabilities, like [web
+        // search](/docs/guides/tools-web-search)   or [file
+        // search](/docs/guides/tools-file-search). Learn more about   [built-in
+        // tools](/docs/guides/tools). - **Function calls (custom tools)**:
+        // Functions that are defined by you,   enabling the model to call your
+        // own code. Learn more about   [function
+        // calling](/docs/guides/function-calling).
+        should("test tools") {
+            // uncomment below to test the property
+            // modelInstance.tools shouldBe ("TODO")
+        }
+
+        // to test the property `toolChoice`
+        should("test toolChoice") {
+            // uncomment below to test the property
+            // modelInstance.toolChoice shouldBe ("TODO")
+        }
+
+        // to test the property `truncation` - The truncation strategy to use
+        // for the model response. - `auto`: If the context of this response and
+        // previous ones exceeds   the model's context window size, the model
+        // will truncate the    response to fit the context window by dropping
+        // input items in the   middle of the conversation.  - `disabled`
+        // (default): If a model response will exceed the context window    size
+        // for a model, the request will fail with a 400 error.
+        should("test truncation") {
+            // uncomment below to test the property
+            // modelInstance.truncation shouldBe ("TODO")
+        }
+
+        // to test the property `include` - Specify additional output data to
+        // include in the model response. Currently supported values are: -
+        // `file_search_call.results`: Include the search results of   the file
+        // search tool call. - `message.input_image.image_url`: Include image
+        // urls from the input message. -
+        // `computer_call_output.output.image_url`: Include image urls from the
+        // computer call output.
+        should("test include") {
+            // uncomment below to test the property
+            // modelInstance.include shouldBe ("TODO")
+        }
+
+        // to test the property `parallelToolCalls` - Whether to allow the model
+        // to run tool calls in parallel.
+        should("test parallelToolCalls") {
+            // uncomment below to test the property
+            // modelInstance.parallelToolCalls shouldBe ("TODO")
+        }
+
+        // to test the property `store` - Whether to store the generated model
+        // response for later retrieval via API.
+        should("test store") {
+            // uncomment below to test the property
+            // modelInstance.store shouldBe ("TODO")
+        }
+
+        // to test the property `stream` - If set to true, the model response
+        // data will be streamed to the client as it is generated using
+        // [server-sent
+        // events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format). See the [Streaming section below](/docs/api-reference/responses-streaming) for more information.
+        should("test stream") {
+            // uncomment below to test the property
+            // modelInstance.stream shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/CreateSpeechRequestTest.kt b/lib/src/test/kotlin/com/openai/models/CreateSpeechRequestTest.kt
index b77b66c8..760c1406 100644
--- a/lib/src/test/kotlin/com/openai/models/CreateSpeechRequestTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/CreateSpeechRequestTest.kt
@@ -31,16 +31,20 @@ class CreateSpeechRequestTest : ShouldSpec() {
             // modelInstance.input shouldBe ("TODO")
         }
 
-        // to test the property `voice` - The voice to use when generating the
-        // audio. Supported voices are `alloy`, `ash`, `coral`, `echo`, `fable`,
-        // `onyx`, `nova`, `sage` and `shimmer`. Previews of the voices are
-        // available in the [Text to speech
-        // guide](/docs/guides/text-to-speech#voice-options).
+        // to test the property `voice`
         should("test voice") {
             // uncomment below to test the property
             // modelInstance.voice shouldBe ("TODO")
         }
 
+        // to test the property `instructions` - Control the voice of your
+        // generated audio with additional instructions. Does not work with
+        // `tts-1` or `tts-1-hd`.
+        should("test instructions") {
+            // uncomment below to test the property
+            // modelInstance.instructions shouldBe ("TODO")
+        }
+
         // to test the property `responseFormat` - The format to audio in.
         // Supported formats are `mp3`, `opus`, `aac`, `flac`, `wav`, and `pcm`.
         should("test responseFormat") {
diff --git a/lib/src/test/kotlin/com/openai/models/CreateTranscription200ResponseTest.kt b/lib/src/test/kotlin/com/openai/models/CreateTranscription200ResponseTest.kt
index f87e6c48..7e93d5fe 100644
--- a/lib/src/test/kotlin/com/openai/models/CreateTranscription200ResponseTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/CreateTranscription200ResponseTest.kt
@@ -37,6 +37,15 @@ class CreateTranscription200ResponseTest : ShouldSpec() {
             // modelInstance.duration shouldBe ("TODO")
         }
 
+        // to test the property `logprobs` - The log probabilities of the tokens
+        // in the transcription. Only returned with the models
+        // `gpt-4o-transcribe` and `gpt-4o-mini-transcribe` if `logprobs` is
+        // added to the `include` array.
+        should("test logprobs") {
+            // uncomment below to test the property
+            // modelInstance.logprobs shouldBe ("TODO")
+        }
+
         // to test the property `words` - Extracted words and their
         // corresponding timestamps.
         should("test words") {
diff --git a/lib/src/test/kotlin/com/openai/models/CreateTranscriptionResponseJsonTest.kt b/lib/src/test/kotlin/com/openai/models/CreateTranscriptionResponseJsonTest.kt
index 8258eaf2..d13ef972 100644
--- a/lib/src/test/kotlin/com/openai/models/CreateTranscriptionResponseJsonTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/CreateTranscriptionResponseJsonTest.kt
@@ -24,5 +24,14 @@ class CreateTranscriptionResponseJsonTest : ShouldSpec() {
             // uncomment below to test the property
             // modelInstance.text shouldBe ("TODO")
         }
+
+        // to test the property `logprobs` - The log probabilities of the tokens
+        // in the transcription. Only returned with the models
+        // `gpt-4o-transcribe` and `gpt-4o-mini-transcribe` if `logprobs` is
+        // added to the `include` array.
+        should("test logprobs") {
+            // uncomment below to test the property
+            // modelInstance.logprobs shouldBe ("TODO")
+        }
     }
 }
diff --git a/lib/src/test/kotlin/com/openai/models/CreateTranscriptionResponseStreamEventTest.kt b/lib/src/test/kotlin/com/openai/models/CreateTranscriptionResponseStreamEventTest.kt
new file mode 100644
index 00000000..87962ba0
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/CreateTranscriptionResponseStreamEventTest.kt
@@ -0,0 +1,51 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class CreateTranscriptionResponseStreamEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // CreateTranscriptionResponseStreamEvent
+        // val modelInstance = CreateTranscriptionResponseStreamEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `transcript.text.delta`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `delta` - The text delta that was additionally
+        // transcribed.
+        should("test delta") {
+            // uncomment below to test the property
+            // modelInstance.delta shouldBe ("TODO")
+        }
+
+        // to test the property `text` - The text that was transcribed.
+        should("test text") {
+            // uncomment below to test the property
+            // modelInstance.text shouldBe ("TODO")
+        }
+
+        // to test the property `logprobs` - The log probabilities of the
+        // individual tokens in the transcription. Only included if you [create
+        // a transcription](/docs/api-reference/audio/create-transcription) with
+        // the `include[]` parameter set to `logprobs`.
+        should("test logprobs") {
+            // uncomment below to test the property
+            // modelInstance.logprobs shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestModelTest.kt b/lib/src/test/kotlin/com/openai/models/CreateTranslationRequestModelTest.kt
similarity index 70%
rename from lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestModelTest.kt
rename to lib/src/test/kotlin/com/openai/models/CreateTranslationRequestModelTest.kt
index 24431ab6..bbe80177 100644
--- a/lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestModelTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/CreateTranslationRequestModelTest.kt
@@ -13,11 +13,11 @@ package com.openai.models
 
 import io.kotlintest.specs.ShouldSpec
 
-class CreateChatCompletionRequestModelTest : ShouldSpec() {
+class CreateTranslationRequestModelTest : ShouldSpec() {
     init {
         // uncomment below to create an instance of
-        // CreateChatCompletionRequestModel
-        // val modelInstance = CreateChatCompletionRequestModel()
+        // CreateTranslationRequestModel
+        // val modelInstance = CreateTranslationRequestModel()
 
     }
 }
diff --git a/lib/src/test/kotlin/com/openai/models/CreateVectorStoreFileBatchRequestTest.kt b/lib/src/test/kotlin/com/openai/models/CreateVectorStoreFileBatchRequestTest.kt
index c5f5eb01..9865ebf9 100644
--- a/lib/src/test/kotlin/com/openai/models/CreateVectorStoreFileBatchRequestTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/CreateVectorStoreFileBatchRequestTest.kt
@@ -32,5 +32,16 @@ class CreateVectorStoreFileBatchRequestTest : ShouldSpec() {
             // uncomment below to test the property
             // modelInstance.chunkingStrategy shouldBe ("TODO")
         }
+
+        // to test the property `attributes` - Set of 16 key-value pairs that
+        // can be attached to an object. This can be  useful for storing
+        // additional information about the object in a structured  format, and
+        // querying for objects via API or the dashboard. Keys are strings  with
+        // a maximum length of 64 characters. Values are strings with a maximum
+        // length of 512 characters, booleans, or numbers.
+        should("test attributes") {
+            // uncomment below to test the property
+            // modelInstance.attributes shouldBe ("TODO")
+        }
     }
 }
diff --git a/lib/src/test/kotlin/com/openai/models/CreateVectorStoreFileRequestTest.kt b/lib/src/test/kotlin/com/openai/models/CreateVectorStoreFileRequestTest.kt
index a6e8c5f0..a8432e8c 100644
--- a/lib/src/test/kotlin/com/openai/models/CreateVectorStoreFileRequestTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/CreateVectorStoreFileRequestTest.kt
@@ -31,5 +31,16 @@ class CreateVectorStoreFileRequestTest : ShouldSpec() {
             // uncomment below to test the property
             // modelInstance.chunkingStrategy shouldBe ("TODO")
         }
+
+        // to test the property `attributes` - Set of 16 key-value pairs that
+        // can be attached to an object. This can be  useful for storing
+        // additional information about the object in a structured  format, and
+        // querying for objects via API or the dashboard. Keys are strings  with
+        // a maximum length of 64 characters. Values are strings with a maximum
+        // length of 512 characters, booleans, or numbers.
+        should("test attributes") {
+            // uncomment below to test the property
+            // modelInstance.attributes shouldBe ("TODO")
+        }
     }
 }
diff --git a/lib/src/test/kotlin/com/openai/models/DeleteFineTuningCheckpointPermissionResponseTest.kt b/lib/src/test/kotlin/com/openai/models/DeleteFineTuningCheckpointPermissionResponseTest.kt
new file mode 100644
index 00000000..d5ba5f4a
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/DeleteFineTuningCheckpointPermissionResponseTest.kt
@@ -0,0 +1,43 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class DeleteFineTuningCheckpointPermissionResponseTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // DeleteFineTuningCheckpointPermissionResponse
+        // val modelInstance = DeleteFineTuningCheckpointPermissionResponse()
+
+        // to test the property `id` - The ID of the fine-tuned model checkpoint
+        // permission that was deleted.
+        should("test id") {
+            // uncomment below to test the property
+            // modelInstance.id shouldBe ("TODO")
+        }
+
+        // to test the property ``object`` - The object type, which is always
+        // \"checkpoint.permission\".
+        should("test `object`") {
+            // uncomment below to test the property
+            // modelInstance.`object` shouldBe ("TODO")
+        }
+
+        // to test the property `deleted` - Whether the fine-tuned model
+        // checkpoint permission was successfully deleted.
+        should("test deleted") {
+            // uncomment below to test the property
+            // modelInstance.deleted shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/DoubleClickTest.kt b/lib/src/test/kotlin/com/openai/models/DoubleClickTest.kt
new file mode 100644
index 00000000..f11fea8d
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/DoubleClickTest.kt
@@ -0,0 +1,42 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class DoubleClickTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of DoubleClick
+        // val modelInstance = DoubleClick()
+
+        // to test the property `type` - Specifies the event type. For a double
+        // click action, this property is  always set to `double_click`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `x` - The x-coordinate where the double click
+        // occurred.
+        should("test x") {
+            // uncomment below to test the property
+            // modelInstance.x shouldBe ("TODO")
+        }
+
+        // to test the property `y` - The y-coordinate where the double click
+        // occurred.
+        should("test y") {
+            // uncomment below to test the property
+            // modelInstance.y shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/DragTest.kt b/lib/src/test/kotlin/com/openai/models/DragTest.kt
new file mode 100644
index 00000000..e31078f4
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/DragTest.kt
@@ -0,0 +1,36 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class DragTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of Drag
+        // val modelInstance = Drag()
+
+        // to test the property `type` - Specifies the event type. For a drag
+        // action, this property is  always set to `drag`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `path` - An array of coordinates representing
+        // the path of the drag action. Coordinates will appear as an array of
+        // objects, eg ``` [   { x: 100, y: 200 },   { x: 200, y: 300 } ] ```
+        should("test path") {
+            // uncomment below to test the property
+            // modelInstance.path shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/EasyInputMessageContentTest.kt b/lib/src/test/kotlin/com/openai/models/EasyInputMessageContentTest.kt
new file mode 100644
index 00000000..3d3db0ec
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/EasyInputMessageContentTest.kt
@@ -0,0 +1,22 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class EasyInputMessageContentTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of EasyInputMessageContent
+        // val modelInstance = EasyInputMessageContent()
+
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/EasyInputMessageTest.kt b/lib/src/test/kotlin/com/openai/models/EasyInputMessageTest.kt
new file mode 100644
index 00000000..7126ae92
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/EasyInputMessageTest.kt
@@ -0,0 +1,41 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class EasyInputMessageTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of EasyInputMessage
+        // val modelInstance = EasyInputMessage()
+
+        // to test the property `role` - The role of the message input. One of
+        // `user`, `assistant`, `system`, or `developer`.
+        should("test role") {
+            // uncomment below to test the property
+            // modelInstance.role shouldBe ("TODO")
+        }
+
+        // to test the property `content`
+        should("test content") {
+            // uncomment below to test the property
+            // modelInstance.content shouldBe ("TODO")
+        }
+
+        // to test the property `type` - The type of the message input. Always
+        // `message`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/FileCitationTest.kt b/lib/src/test/kotlin/com/openai/models/FileCitationTest.kt
new file mode 100644
index 00000000..7d43b229
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/FileCitationTest.kt
@@ -0,0 +1,41 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class FileCitationTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of FileCitation
+        // val modelInstance = FileCitation()
+
+        // to test the property `type` - The type of the file citation. Always
+        // `file_citation`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `index` - The index of the file in the list of
+        // files.
+        should("test index") {
+            // uncomment below to test the property
+            // modelInstance.index shouldBe ("TODO")
+        }
+
+        // to test the property `fileId` - The ID of the file.
+        should("test fileId") {
+            // uncomment below to test the property
+            // modelInstance.fileId shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/FilePathTest.kt b/lib/src/test/kotlin/com/openai/models/FilePathTest.kt
new file mode 100644
index 00000000..f2515074
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/FilePathTest.kt
@@ -0,0 +1,41 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class FilePathTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of FilePath
+        // val modelInstance = FilePath()
+
+        // to test the property `type` - The type of the file path. Always
+        // `file_path`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `fileId` - The ID of the file.
+        should("test fileId") {
+            // uncomment below to test the property
+            // modelInstance.fileId shouldBe ("TODO")
+        }
+
+        // to test the property `index` - The index of the file in the list of
+        // files.
+        should("test index") {
+            // uncomment below to test the property
+            // modelInstance.index shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/FileSearchRankerTest.kt b/lib/src/test/kotlin/com/openai/models/FileSearchRankerTest.kt
new file mode 100644
index 00000000..014f7e87
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/FileSearchRankerTest.kt
@@ -0,0 +1,22 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class FileSearchRankerTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of FileSearchRanker
+        // val modelInstance = FileSearchRanker()
+
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/FileSearchRankingOptionsTest.kt b/lib/src/test/kotlin/com/openai/models/FileSearchRankingOptionsTest.kt
index 5fe3e5fe..cc4e91e4 100644
--- a/lib/src/test/kotlin/com/openai/models/FileSearchRankingOptionsTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/FileSearchRankingOptionsTest.kt
@@ -26,8 +26,7 @@ class FileSearchRankingOptionsTest : ShouldSpec() {
             // modelInstance.scoreThreshold shouldBe ("TODO")
         }
 
-        // to test the property `ranker` - The ranker to use for the file
-        // search. If not specified will use the `auto` ranker.
+        // to test the property `ranker`
         should("test ranker") {
             // uncomment below to test the property
             // modelInstance.ranker shouldBe ("TODO")
diff --git a/lib/src/test/kotlin/com/openai/models/FileSearchToolCallResultsInnerTest.kt b/lib/src/test/kotlin/com/openai/models/FileSearchToolCallResultsInnerTest.kt
new file mode 100644
index 00000000..310626ac
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/FileSearchToolCallResultsInnerTest.kt
@@ -0,0 +1,59 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class FileSearchToolCallResultsInnerTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // FileSearchToolCallResultsInner
+        // val modelInstance = FileSearchToolCallResultsInner()
+
+        // to test the property `fileId` - The unique ID of the file.
+        should("test fileId") {
+            // uncomment below to test the property
+            // modelInstance.fileId shouldBe ("TODO")
+        }
+
+        // to test the property `text` - The text that was retrieved from the
+        // file.
+        should("test text") {
+            // uncomment below to test the property
+            // modelInstance.text shouldBe ("TODO")
+        }
+
+        // to test the property `filename` - The name of the file.
+        should("test filename") {
+            // uncomment below to test the property
+            // modelInstance.filename shouldBe ("TODO")
+        }
+
+        // to test the property `attributes` - Set of 16 key-value pairs that
+        // can be attached to an object. This can be  useful for storing
+        // additional information about the object in a structured  format, and
+        // querying for objects via API or the dashboard. Keys are strings  with
+        // a maximum length of 64 characters. Values are strings with a maximum
+        // length of 512 characters, booleans, or numbers.
+        should("test attributes") {
+            // uncomment below to test the property
+            // modelInstance.attributes shouldBe ("TODO")
+        }
+
+        // to test the property `score` - The relevance score of the file - a
+        // value between 0 and 1.
+        should("test score") {
+            // uncomment below to test the property
+            // modelInstance.score shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/FileSearchToolCallTest.kt b/lib/src/test/kotlin/com/openai/models/FileSearchToolCallTest.kt
new file mode 100644
index 00000000..0669aaff
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/FileSearchToolCallTest.kt
@@ -0,0 +1,56 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class FileSearchToolCallTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of FileSearchToolCall
+        // val modelInstance = FileSearchToolCall()
+
+        // to test the property `id` - The unique ID of the file search tool
+        // call.
+        should("test id") {
+            // uncomment below to test the property
+            // modelInstance.id shouldBe ("TODO")
+        }
+
+        // to test the property `type` - The type of the file search tool call.
+        // Always `file_search_call`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `status` - The status of the file search tool
+        // call. One of `in_progress`,  `searching`, `incomplete` or `failed`,
+        should("test status") {
+            // uncomment below to test the property
+            // modelInstance.status shouldBe ("TODO")
+        }
+
+        // to test the property `queries` - The queries used to search for
+        // files.
+        should("test queries") {
+            // uncomment below to test the property
+            // modelInstance.queries shouldBe ("TODO")
+        }
+
+        // to test the property `results` - The results of the file search tool
+        // call.
+        should("test results") {
+            // uncomment below to test the property
+            // modelInstance.results shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/FileSearchToolFiltersTest.kt b/lib/src/test/kotlin/com/openai/models/FileSearchToolFiltersTest.kt
new file mode 100644
index 00000000..a5111478
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/FileSearchToolFiltersTest.kt
@@ -0,0 +1,49 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class FileSearchToolFiltersTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of FileSearchToolFilters
+        // val modelInstance = FileSearchToolFilters()
+
+        // to test the property `type` - Specifies the comparison operator:
+        // `eq`, `ne`, `gt`, `gte`, `lt`, `lte`. - `eq`: equals - `ne`: not
+        // equal - `gt`: greater than - `gte`: greater than or equal - `lt`:
+        // less than - `lte`: less than or equal
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `key` - The key to compare against the value.
+        should("test key") {
+            // uncomment below to test the property
+            // modelInstance.key shouldBe ("TODO")
+        }
+
+        // to test the property ``value``
+        should("test `value`") {
+            // uncomment below to test the property
+            // modelInstance.`value` shouldBe ("TODO")
+        }
+
+        // to test the property `filters` - Array of filters to combine. Items
+        // can be `ComparisonFilter` or `CompoundFilter`.
+        should("test filters") {
+            // uncomment below to test the property
+            // modelInstance.filters shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/FileSearchToolRankingOptionsTest.kt b/lib/src/test/kotlin/com/openai/models/FileSearchToolRankingOptionsTest.kt
new file mode 100644
index 00000000..c5802ee4
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/FileSearchToolRankingOptionsTest.kt
@@ -0,0 +1,37 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class FileSearchToolRankingOptionsTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of FileSearchToolRankingOptions
+        // val modelInstance = FileSearchToolRankingOptions()
+
+        // to test the property `ranker` - The ranker to use for the file
+        // search.
+        should("test ranker") {
+            // uncomment below to test the property
+            // modelInstance.ranker shouldBe ("TODO")
+        }
+
+        // to test the property `scoreThreshold` - The score threshold for the
+        // file search, a number between 0 and 1. Numbers closer to 1 will
+        // attempt to return only the most relevant results, but may return
+        // fewer results.
+        should("test scoreThreshold") {
+            // uncomment below to test the property
+            // modelInstance.scoreThreshold shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/FileSearchToolTest.kt b/lib/src/test/kotlin/com/openai/models/FileSearchToolTest.kt
new file mode 100644
index 00000000..cbe2e1f4
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/FileSearchToolTest.kt
@@ -0,0 +1,54 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class FileSearchToolTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of FileSearchTool
+        // val modelInstance = FileSearchTool()
+
+        // to test the property `type` - The type of the file search tool.
+        // Always `file_search`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `vectorStoreIds` - The IDs of the vector stores
+        // to search.
+        should("test vectorStoreIds") {
+            // uncomment below to test the property
+            // modelInstance.vectorStoreIds shouldBe ("TODO")
+        }
+
+        // to test the property `maxNumResults` - The maximum number of results
+        // to return. This number should be between 1  and 50 inclusive.
+        should("test maxNumResults") {
+            // uncomment below to test the property
+            // modelInstance.maxNumResults shouldBe ("TODO")
+        }
+
+        // to test the property `filters`
+        should("test filters") {
+            // uncomment below to test the property
+            // modelInstance.filters shouldBe ("TODO")
+        }
+
+        // to test the property `rankingOptions`
+        should("test rankingOptions") {
+            // uncomment below to test the property
+            // modelInstance.rankingOptions shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/FineTuningCheckpointPermissionTest.kt b/lib/src/test/kotlin/com/openai/models/FineTuningCheckpointPermissionTest.kt
new file mode 100644
index 00000000..fcc1aa86
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/FineTuningCheckpointPermissionTest.kt
@@ -0,0 +1,50 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class FineTuningCheckpointPermissionTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // FineTuningCheckpointPermission
+        // val modelInstance = FineTuningCheckpointPermission()
+
+        // to test the property `id` - The permission identifier, which can be
+        // referenced in the API endpoints.
+        should("test id") {
+            // uncomment below to test the property
+            // modelInstance.id shouldBe ("TODO")
+        }
+
+        // to test the property `createdAt` - The Unix timestamp (in seconds)
+        // for when the permission was created.
+        should("test createdAt") {
+            // uncomment below to test the property
+            // modelInstance.createdAt shouldBe ("TODO")
+        }
+
+        // to test the property `projectId` - The project identifier that the
+        // permission is for.
+        should("test projectId") {
+            // uncomment below to test the property
+            // modelInstance.projectId shouldBe ("TODO")
+        }
+
+        // to test the property ``object`` - The object type, which is always
+        // \"checkpoint.permission\".
+        should("test `object`") {
+            // uncomment below to test the property
+            // modelInstance.`object` shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/FineTuningJobTest.kt b/lib/src/test/kotlin/com/openai/models/FineTuningJobTest.kt
index 13e24308..90fd882b 100644
--- a/lib/src/test/kotlin/com/openai/models/FineTuningJobTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/FineTuningJobTest.kt
@@ -147,5 +147,16 @@ class FineTuningJobTest : ShouldSpec() {
             // uncomment below to test the property
             // modelInstance.method shouldBe ("TODO")
         }
+
+        // to test the property `metadata` - Set of 16 key-value pairs that can
+        // be attached to an object. This can be useful for storing additional
+        // information about the object in a structured format, and querying for
+        // objects via API or the dashboard.   Keys are strings with a maximum
+        // length of 64 characters. Values are strings with a maximum length of
+        // 512 characters.
+        should("test metadata") {
+            // uncomment below to test the property
+            // modelInstance.metadata shouldBe ("TODO")
+        }
     }
 }
diff --git a/lib/src/test/kotlin/com/openai/models/FunctionToolCallOutputResourceTest.kt b/lib/src/test/kotlin/com/openai/models/FunctionToolCallOutputResourceTest.kt
new file mode 100644
index 00000000..f675fa64
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/FunctionToolCallOutputResourceTest.kt
@@ -0,0 +1,58 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class FunctionToolCallOutputResourceTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // FunctionToolCallOutputResource
+        // val modelInstance = FunctionToolCallOutputResource()
+
+        // to test the property `id` - The unique ID of the function call tool
+        // output.
+        should("test id") {
+            // uncomment below to test the property
+            // modelInstance.id shouldBe ("TODO")
+        }
+
+        // to test the property `type` - The type of the function tool call
+        // output. Always `function_call_output`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `callId` - The unique ID of the function tool
+        // call generated by the model.
+        should("test callId") {
+            // uncomment below to test the property
+            // modelInstance.callId shouldBe ("TODO")
+        }
+
+        // to test the property `output` - A JSON string of the output of the
+        // function tool call.
+        should("test output") {
+            // uncomment below to test the property
+            // modelInstance.output shouldBe ("TODO")
+        }
+
+        // to test the property `status` - The status of the item. One of
+        // `in_progress`, `completed`, or `incomplete`. Populated when items are
+        // returned via API.
+        should("test status") {
+            // uncomment below to test the property
+            // modelInstance.status shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/FunctionToolCallOutputTest.kt b/lib/src/test/kotlin/com/openai/models/FunctionToolCallOutputTest.kt
new file mode 100644
index 00000000..563eb0ee
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/FunctionToolCallOutputTest.kt
@@ -0,0 +1,57 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class FunctionToolCallOutputTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of FunctionToolCallOutput
+        // val modelInstance = FunctionToolCallOutput()
+
+        // to test the property `type` - The type of the function tool call
+        // output. Always `function_call_output`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `callId` - The unique ID of the function tool
+        // call generated by the model.
+        should("test callId") {
+            // uncomment below to test the property
+            // modelInstance.callId shouldBe ("TODO")
+        }
+
+        // to test the property `output` - A JSON string of the output of the
+        // function tool call.
+        should("test output") {
+            // uncomment below to test the property
+            // modelInstance.output shouldBe ("TODO")
+        }
+
+        // to test the property `id` - The unique ID of the function tool call
+        // output. Populated when this item is returned via API.
+        should("test id") {
+            // uncomment below to test the property
+            // modelInstance.id shouldBe ("TODO")
+        }
+
+        // to test the property `status` - The status of the item. One of
+        // `in_progress`, `completed`, or `incomplete`. Populated when items are
+        // returned via API.
+        should("test status") {
+            // uncomment below to test the property
+            // modelInstance.status shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/FunctionToolCallResourceTest.kt b/lib/src/test/kotlin/com/openai/models/FunctionToolCallResourceTest.kt
new file mode 100644
index 00000000..e319a190
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/FunctionToolCallResourceTest.kt
@@ -0,0 +1,62 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class FunctionToolCallResourceTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of FunctionToolCallResource
+        // val modelInstance = FunctionToolCallResource()
+
+        // to test the property `id` - The unique ID of the function tool call.
+        should("test id") {
+            // uncomment below to test the property
+            // modelInstance.id shouldBe ("TODO")
+        }
+
+        // to test the property `type` - The type of the function tool call.
+        // Always `function_call`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `callId` - The unique ID of the function tool
+        // call generated by the model.
+        should("test callId") {
+            // uncomment below to test the property
+            // modelInstance.callId shouldBe ("TODO")
+        }
+
+        // to test the property `name` - The name of the function to run.
+        should("test name") {
+            // uncomment below to test the property
+            // modelInstance.name shouldBe ("TODO")
+        }
+
+        // to test the property `arguments` - A JSON string of the arguments to
+        // pass to the function.
+        should("test arguments") {
+            // uncomment below to test the property
+            // modelInstance.arguments shouldBe ("TODO")
+        }
+
+        // to test the property `status` - The status of the item. One of
+        // `in_progress`, `completed`, or `incomplete`. Populated when items are
+        // returned via API.
+        should("test status") {
+            // uncomment below to test the property
+            // modelInstance.status shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/FunctionToolCallTest.kt b/lib/src/test/kotlin/com/openai/models/FunctionToolCallTest.kt
new file mode 100644
index 00000000..71163a8a
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/FunctionToolCallTest.kt
@@ -0,0 +1,62 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class FunctionToolCallTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of FunctionToolCall
+        // val modelInstance = FunctionToolCall()
+
+        // to test the property `type` - The type of the function tool call.
+        // Always `function_call`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `callId` - The unique ID of the function tool
+        // call generated by the model.
+        should("test callId") {
+            // uncomment below to test the property
+            // modelInstance.callId shouldBe ("TODO")
+        }
+
+        // to test the property `name` - The name of the function to run.
+        should("test name") {
+            // uncomment below to test the property
+            // modelInstance.name shouldBe ("TODO")
+        }
+
+        // to test the property `arguments` - A JSON string of the arguments to
+        // pass to the function.
+        should("test arguments") {
+            // uncomment below to test the property
+            // modelInstance.arguments shouldBe ("TODO")
+        }
+
+        // to test the property `id` - The unique ID of the function tool call.
+        should("test id") {
+            // uncomment below to test the property
+            // modelInstance.id shouldBe ("TODO")
+        }
+
+        // to test the property `status` - The status of the item. One of
+        // `in_progress`, `completed`, or `incomplete`. Populated when items are
+        // returned via API.
+        should("test status") {
+            // uncomment below to test the property
+            // modelInstance.status shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/FunctionToolTest.kt b/lib/src/test/kotlin/com/openai/models/FunctionToolTest.kt
new file mode 100644
index 00000000..9248c863
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/FunctionToolTest.kt
@@ -0,0 +1,55 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class FunctionToolTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of FunctionTool
+        // val modelInstance = FunctionTool()
+
+        // to test the property `type` - The type of the function tool. Always
+        // `function`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `name` - The name of the function to call.
+        should("test name") {
+            // uncomment below to test the property
+            // modelInstance.name shouldBe ("TODO")
+        }
+
+        // to test the property `parameters` - A JSON schema object describing
+        // the parameters of the function.
+        should("test parameters") {
+            // uncomment below to test the property
+            // modelInstance.parameters shouldBe ("TODO")
+        }
+
+        // to test the property `strict` - Whether to enforce strict parameter
+        // validation. Default `true`.
+        should("test strict") {
+            // uncomment below to test the property
+            // modelInstance.strict shouldBe ("TODO")
+        }
+
+        // to test the property `description` - A description of the function.
+        // Used by the model to determine whether or not to call the function.
+        should("test description") {
+            // uncomment below to test the property
+            // modelInstance.description shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/IncludableTest.kt b/lib/src/test/kotlin/com/openai/models/IncludableTest.kt
new file mode 100644
index 00000000..a88b07cb
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/IncludableTest.kt
@@ -0,0 +1,22 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class IncludableTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of Includable
+        // val modelInstance = Includable()
+
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/InputAudioTest.kt b/lib/src/test/kotlin/com/openai/models/InputAudioTest.kt
new file mode 100644
index 00000000..aff6ffe6
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/InputAudioTest.kt
@@ -0,0 +1,41 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class InputAudioTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of InputAudio
+        // val modelInstance = InputAudio()
+
+        // to test the property `type` - The type of the input item. Always
+        // `input_audio`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property ``data`` - Base64-encoded audio data.
+        should("test `data`") {
+            // uncomment below to test the property
+            // modelInstance.`data` shouldBe ("TODO")
+        }
+
+        // to test the property `format` - The format of the audio data.
+        // Currently supported formats are `mp3` and `wav`.
+        should("test format") {
+            // uncomment below to test the property
+            // modelInstance.format shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/InputContentTest.kt b/lib/src/test/kotlin/com/openai/models/InputContentTest.kt
new file mode 100644
index 00000000..a7b06b14
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/InputContentTest.kt
@@ -0,0 +1,71 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class InputContentTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of InputContent
+        // val modelInstance = InputContent()
+
+        // to test the property `type` - The type of the input item. Always
+        // `input_text`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `text` - The text input to the model.
+        should("test text") {
+            // uncomment below to test the property
+            // modelInstance.text shouldBe ("TODO")
+        }
+
+        // to test the property `detail` - The detail level of the image to be
+        // sent to the model. One of `high`, `low`, or `auto`. Defaults to
+        // `auto`.
+        should("test detail") {
+            // uncomment below to test the property
+            // modelInstance.detail shouldBe ("TODO")
+        }
+
+        // to test the property `imageUrl` - The URL of the image to be sent to
+        // the model. A fully qualified URL or base64 encoded image in a data
+        // URL.
+        should("test imageUrl") {
+            // uncomment below to test the property
+            // modelInstance.imageUrl shouldBe ("TODO")
+        }
+
+        // to test the property `fileId` - The ID of the file to be sent to the
+        // model.
+        should("test fileId") {
+            // uncomment below to test the property
+            // modelInstance.fileId shouldBe ("TODO")
+        }
+
+        // to test the property `filename` - The name of the file to be sent to
+        // the model.
+        should("test filename") {
+            // uncomment below to test the property
+            // modelInstance.filename shouldBe ("TODO")
+        }
+
+        // to test the property `fileData` - The content of the file to be sent
+        // to the model.
+        should("test fileData") {
+            // uncomment below to test the property
+            // modelInstance.fileData shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/InputFileTest.kt b/lib/src/test/kotlin/com/openai/models/InputFileTest.kt
new file mode 100644
index 00000000..4a6cc407
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/InputFileTest.kt
@@ -0,0 +1,49 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class InputFileTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of InputFile
+        // val modelInstance = InputFile()
+
+        // to test the property `type` - The type of the input item. Always
+        // `input_file`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `fileId` - The ID of the file to be sent to the
+        // model.
+        should("test fileId") {
+            // uncomment below to test the property
+            // modelInstance.fileId shouldBe ("TODO")
+        }
+
+        // to test the property `filename` - The name of the file to be sent to
+        // the model.
+        should("test filename") {
+            // uncomment below to test the property
+            // modelInstance.filename shouldBe ("TODO")
+        }
+
+        // to test the property `fileData` - The content of the file to be sent
+        // to the model.
+        should("test fileData") {
+            // uncomment below to test the property
+            // modelInstance.fileData shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/InputImageTest.kt b/lib/src/test/kotlin/com/openai/models/InputImageTest.kt
new file mode 100644
index 00000000..3a3d692b
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/InputImageTest.kt
@@ -0,0 +1,51 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class InputImageTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of InputImage
+        // val modelInstance = InputImage()
+
+        // to test the property `type` - The type of the input item. Always
+        // `input_image`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `detail` - The detail level of the image to be
+        // sent to the model. One of `high`, `low`, or `auto`. Defaults to
+        // `auto`.
+        should("test detail") {
+            // uncomment below to test the property
+            // modelInstance.detail shouldBe ("TODO")
+        }
+
+        // to test the property `imageUrl` - The URL of the image to be sent to
+        // the model. A fully qualified URL or base64 encoded image in a data
+        // URL.
+        should("test imageUrl") {
+            // uncomment below to test the property
+            // modelInstance.imageUrl shouldBe ("TODO")
+        }
+
+        // to test the property `fileId` - The ID of the file to be sent to the
+        // model.
+        should("test fileId") {
+            // uncomment below to test the property
+            // modelInstance.fileId shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/InputItemTest.kt b/lib/src/test/kotlin/com/openai/models/InputItemTest.kt
new file mode 100644
index 00000000..b13b9205
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/InputItemTest.kt
@@ -0,0 +1,47 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class InputItemTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of InputItem
+        // val modelInstance = InputItem()
+
+        // to test the property `role` - The role of the message input. One of
+        // `user`, `assistant`, `system`, or `developer`.
+        should("test role") {
+            // uncomment below to test the property
+            // modelInstance.role shouldBe ("TODO")
+        }
+
+        // to test the property `content`
+        should("test content") {
+            // uncomment below to test the property
+            // modelInstance.content shouldBe ("TODO")
+        }
+
+        // to test the property `type` - The type of the message input. Always
+        // `message`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `id` - The ID of the item to reference.
+        should("test id") {
+            // uncomment below to test the property
+            // modelInstance.id shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/InputMessageResourceTest.kt b/lib/src/test/kotlin/com/openai/models/InputMessageResourceTest.kt
new file mode 100644
index 00000000..6e943588
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/InputMessageResourceTest.kt
@@ -0,0 +1,56 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class InputMessageResourceTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of InputMessageResource
+        // val modelInstance = InputMessageResource()
+
+        // to test the property `role` - The role of the message input. One of
+        // `user`, `system`, or `developer`.
+        should("test role") {
+            // uncomment below to test the property
+            // modelInstance.role shouldBe ("TODO")
+        }
+
+        // to test the property `content` - A list of one or many input items to
+        // the model, containing different content  types.
+        should("test content") {
+            // uncomment below to test the property
+            // modelInstance.content shouldBe ("TODO")
+        }
+
+        // to test the property `id` - The unique ID of the message input.
+        should("test id") {
+            // uncomment below to test the property
+            // modelInstance.id shouldBe ("TODO")
+        }
+
+        // to test the property `type` - The type of the message input. Always
+        // set to `message`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `status` - The status of item. One of
+        // `in_progress`, `completed`, or `incomplete`. Populated when items are
+        // returned via API.
+        should("test status") {
+            // uncomment below to test the property
+            // modelInstance.status shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/InputMessageTest.kt b/lib/src/test/kotlin/com/openai/models/InputMessageTest.kt
new file mode 100644
index 00000000..21b89c9f
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/InputMessageTest.kt
@@ -0,0 +1,50 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class InputMessageTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of InputMessage
+        // val modelInstance = InputMessage()
+
+        // to test the property `role` - The role of the message input. One of
+        // `user`, `system`, or `developer`.
+        should("test role") {
+            // uncomment below to test the property
+            // modelInstance.role shouldBe ("TODO")
+        }
+
+        // to test the property `content` - A list of one or many input items to
+        // the model, containing different content  types.
+        should("test content") {
+            // uncomment below to test the property
+            // modelInstance.content shouldBe ("TODO")
+        }
+
+        // to test the property `type` - The type of the message input. Always
+        // set to `message`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `status` - The status of item. One of
+        // `in_progress`, `completed`, or `incomplete`. Populated when items are
+        // returned via API.
+        should("test status") {
+            // uncomment below to test the property
+            // modelInstance.status shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/InputTextTest.kt b/lib/src/test/kotlin/com/openai/models/InputTextTest.kt
new file mode 100644
index 00000000..94a5ac45
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/InputTextTest.kt
@@ -0,0 +1,34 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class InputTextTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of InputText
+        // val modelInstance = InputText()
+
+        // to test the property `type` - The type of the input item. Always
+        // `input_text`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `text` - The text input to the model.
+        should("test text") {
+            // uncomment below to test the property
+            // modelInstance.text shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ItemReferenceTest.kt b/lib/src/test/kotlin/com/openai/models/ItemReferenceTest.kt
new file mode 100644
index 00000000..3450a23f
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ItemReferenceTest.kt
@@ -0,0 +1,34 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ItemReferenceTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ItemReference
+        // val modelInstance = ItemReference()
+
+        // to test the property `id` - The ID of the item to reference.
+        should("test id") {
+            // uncomment below to test the property
+            // modelInstance.id shouldBe ("TODO")
+        }
+
+        // to test the property `type` - The type of item to reference. Always
+        // `item_reference`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ItemResourceTest.kt b/lib/src/test/kotlin/com/openai/models/ItemResourceTest.kt
new file mode 100644
index 00000000..daffb316
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ItemResourceTest.kt
@@ -0,0 +1,117 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ItemResourceTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ItemResource
+        // val modelInstance = ItemResource()
+
+        // to test the property `type` - The type of the message input. Always
+        // set to `message`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `role` - The role of the output message. Always
+        // `assistant`.
+        should("test role") {
+            // uncomment below to test the property
+            // modelInstance.role shouldBe ("TODO")
+        }
+
+        // to test the property `status` - The status of the item. One of
+        // `in_progress`, `completed`, or `incomplete`. Populated when items are
+        // returned via API.
+        should("test status") {
+            // uncomment below to test the property
+            // modelInstance.status shouldBe ("TODO")
+        }
+
+        // to test the property `content` - The content of the output message.
+        should("test content") {
+            // uncomment below to test the property
+            // modelInstance.content shouldBe ("TODO")
+        }
+
+        // to test the property `id` - The unique ID of the function call tool
+        // output.
+        should("test id") {
+            // uncomment below to test the property
+            // modelInstance.id shouldBe ("TODO")
+        }
+
+        // to test the property `queries` - The queries used to search for
+        // files.
+        should("test queries") {
+            // uncomment below to test the property
+            // modelInstance.queries shouldBe ("TODO")
+        }
+
+        // to test the property `callId` - The unique ID of the function tool
+        // call generated by the model.
+        should("test callId") {
+            // uncomment below to test the property
+            // modelInstance.callId shouldBe ("TODO")
+        }
+
+        // to test the property `action`
+        should("test action") {
+            // uncomment below to test the property
+            // modelInstance.action shouldBe ("TODO")
+        }
+
+        // to test the property `pendingSafetyChecks` - The pending safety
+        // checks for the computer call.
+        should("test pendingSafetyChecks") {
+            // uncomment below to test the property
+            // modelInstance.pendingSafetyChecks shouldBe ("TODO")
+        }
+
+        // to test the property `output` - A JSON string of the output of the
+        // function tool call.
+        should("test output") {
+            // uncomment below to test the property
+            // modelInstance.output shouldBe ("TODO")
+        }
+
+        // to test the property `name` - The name of the function to run.
+        should("test name") {
+            // uncomment below to test the property
+            // modelInstance.name shouldBe ("TODO")
+        }
+
+        // to test the property `arguments` - A JSON string of the arguments to
+        // pass to the function.
+        should("test arguments") {
+            // uncomment below to test the property
+            // modelInstance.arguments shouldBe ("TODO")
+        }
+
+        // to test the property `results` - The results of the file search tool
+        // call.
+        should("test results") {
+            // uncomment below to test the property
+            // modelInstance.results shouldBe ("TODO")
+        }
+
+        // to test the property `acknowledgedSafetyChecks` - The safety checks
+        // reported by the API that have been acknowledged by the  developer.
+        should("test acknowledgedSafetyChecks") {
+            // uncomment below to test the property
+            // modelInstance.acknowledgedSafetyChecks shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ItemTest.kt b/lib/src/test/kotlin/com/openai/models/ItemTest.kt
new file mode 100644
index 00000000..83da7c68
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ItemTest.kt
@@ -0,0 +1,123 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ItemTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of Item
+        // val modelInstance = Item()
+
+        // to test the property `type` - The type of the message input. Always
+        // set to `message`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `role` - The role of the output message. Always
+        // `assistant`.
+        should("test role") {
+            // uncomment below to test the property
+            // modelInstance.role shouldBe ("TODO")
+        }
+
+        // to test the property `status` - The status of the item. One of
+        // `in_progress`, `completed`, or `incomplete`. Populated when items are
+        // returned via API.
+        should("test status") {
+            // uncomment below to test the property
+            // modelInstance.status shouldBe ("TODO")
+        }
+
+        // to test the property `content` - The content of the output message.
+        should("test content") {
+            // uncomment below to test the property
+            // modelInstance.content shouldBe ("TODO")
+        }
+
+        // to test the property `id` - The unique identifier of the reasoning
+        // content.
+        should("test id") {
+            // uncomment below to test the property
+            // modelInstance.id shouldBe ("TODO")
+        }
+
+        // to test the property `queries` - The queries used to search for
+        // files.
+        should("test queries") {
+            // uncomment below to test the property
+            // modelInstance.queries shouldBe ("TODO")
+        }
+
+        // to test the property `callId` - The unique ID of the function tool
+        // call generated by the model.
+        should("test callId") {
+            // uncomment below to test the property
+            // modelInstance.callId shouldBe ("TODO")
+        }
+
+        // to test the property `action`
+        should("test action") {
+            // uncomment below to test the property
+            // modelInstance.action shouldBe ("TODO")
+        }
+
+        // to test the property `pendingSafetyChecks` - The pending safety
+        // checks for the computer call.
+        should("test pendingSafetyChecks") {
+            // uncomment below to test the property
+            // modelInstance.pendingSafetyChecks shouldBe ("TODO")
+        }
+
+        // to test the property `output` - A JSON string of the output of the
+        // function tool call.
+        should("test output") {
+            // uncomment below to test the property
+            // modelInstance.output shouldBe ("TODO")
+        }
+
+        // to test the property `name` - The name of the function to run.
+        should("test name") {
+            // uncomment below to test the property
+            // modelInstance.name shouldBe ("TODO")
+        }
+
+        // to test the property `arguments` - A JSON string of the arguments to
+        // pass to the function.
+        should("test arguments") {
+            // uncomment below to test the property
+            // modelInstance.arguments shouldBe ("TODO")
+        }
+
+        // to test the property `summary` - Reasoning text contents.
+        should("test summary") {
+            // uncomment below to test the property
+            // modelInstance.summary shouldBe ("TODO")
+        }
+
+        // to test the property `results` - The results of the file search tool
+        // call.
+        should("test results") {
+            // uncomment below to test the property
+            // modelInstance.results shouldBe ("TODO")
+        }
+
+        // to test the property `acknowledgedSafetyChecks` - The safety checks
+        // reported by the API that have been acknowledged by the  developer.
+        should("test acknowledgedSafetyChecks") {
+            // uncomment below to test the property
+            // modelInstance.acknowledgedSafetyChecks shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseFormatJsonSchemaJsonSchemaTest.kt b/lib/src/test/kotlin/com/openai/models/JSONSchemaTest.kt
similarity index 86%
rename from lib/src/test/kotlin/com/openai/models/ResponseFormatJsonSchemaJsonSchemaTest.kt
rename to lib/src/test/kotlin/com/openai/models/JSONSchemaTest.kt
index 9ff401c7..6d8bc5f2 100644
--- a/lib/src/test/kotlin/com/openai/models/ResponseFormatJsonSchemaJsonSchemaTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/JSONSchemaTest.kt
@@ -13,11 +13,10 @@ package com.openai.models
 
 import io.kotlintest.specs.ShouldSpec
 
-class ResponseFormatJsonSchemaJsonSchemaTest : ShouldSpec() {
+class JSONSchemaTest : ShouldSpec() {
     init {
-        // uncomment below to create an instance of
-        // ResponseFormatJsonSchemaJsonSchema
-        // val modelInstance = ResponseFormatJsonSchemaJsonSchema()
+        // uncomment below to create an instance of JSONSchema
+        // val modelInstance = JSONSchema()
 
         // to test the property `name` - The name of the response format. Must
         // be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum
@@ -36,7 +35,8 @@ class ResponseFormatJsonSchemaJsonSchemaTest : ShouldSpec() {
         }
 
         // to test the property `schema` - The schema for the response format,
-        // described as a JSON Schema object.
+        // described as a JSON Schema object. Learn how to build JSON schemas
+        // [here](https://json-schema.org/).
         should("test schema") {
             // uncomment below to test the property
             // modelInstance.schema shouldBe ("TODO")
diff --git a/lib/src/test/kotlin/com/openai/models/KeyPressTest.kt b/lib/src/test/kotlin/com/openai/models/KeyPressTest.kt
new file mode 100644
index 00000000..f77cc165
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/KeyPressTest.kt
@@ -0,0 +1,36 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class KeyPressTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of KeyPress
+        // val modelInstance = KeyPress()
+
+        // to test the property `type` - Specifies the event type. For a
+        // keypress action, this property is  always set to `keypress`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `propertyKeys` - The combination of keys the
+        // model is requesting to be pressed. This is an array of strings, each
+        // representing a key.
+        should("test propertyKeys") {
+            // uncomment below to test the property
+            // modelInstance.propertyKeys shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ListFineTuningCheckpointPermissionResponseTest.kt b/lib/src/test/kotlin/com/openai/models/ListFineTuningCheckpointPermissionResponseTest.kt
new file mode 100644
index 00000000..4f509765
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ListFineTuningCheckpointPermissionResponseTest.kt
@@ -0,0 +1,52 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ListFineTuningCheckpointPermissionResponseTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // ListFineTuningCheckpointPermissionResponse
+        // val modelInstance = ListFineTuningCheckpointPermissionResponse()
+
+        // to test the property ``data``
+        should("test `data`") {
+            // uncomment below to test the property
+            // modelInstance.`data` shouldBe ("TODO")
+        }
+
+        // to test the property ``object``
+        should("test `object`") {
+            // uncomment below to test the property
+            // modelInstance.`object` shouldBe ("TODO")
+        }
+
+        // to test the property `hasMore`
+        should("test hasMore") {
+            // uncomment below to test the property
+            // modelInstance.hasMore shouldBe ("TODO")
+        }
+
+        // to test the property `firstId`
+        should("test firstId") {
+            // uncomment below to test the property
+            // modelInstance.firstId shouldBe ("TODO")
+        }
+
+        // to test the property `lastId`
+        should("test lastId") {
+            // uncomment below to test the property
+            // modelInstance.lastId shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/LogProbPropertiesTest.kt b/lib/src/test/kotlin/com/openai/models/LogProbPropertiesTest.kt
new file mode 100644
index 00000000..0e347887
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/LogProbPropertiesTest.kt
@@ -0,0 +1,41 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class LogProbPropertiesTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of LogProbProperties
+        // val modelInstance = LogProbProperties()
+
+        // to test the property `token` - The token that was used to generate
+        // the log probability.
+        should("test token") {
+            // uncomment below to test the property
+            // modelInstance.token shouldBe ("TODO")
+        }
+
+        // to test the property `logprob` - The log probability of the token.
+        should("test logprob") {
+            // uncomment below to test the property
+            // modelInstance.logprob shouldBe ("TODO")
+        }
+
+        // to test the property `bytes` - The bytes that were used to generate
+        // the log probability.
+        should("test bytes") {
+            // uncomment below to test the property
+            // modelInstance.bytes shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/LogProbTest.kt b/lib/src/test/kotlin/com/openai/models/LogProbTest.kt
new file mode 100644
index 00000000..125242b4
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/LogProbTest.kt
@@ -0,0 +1,47 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class LogProbTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of LogProb
+        // val modelInstance = LogProb()
+
+        // to test the property `token` - The token that was used to generate
+        // the log probability.
+        should("test token") {
+            // uncomment below to test the property
+            // modelInstance.token shouldBe ("TODO")
+        }
+
+        // to test the property `logprob` - The log probability of the token.
+        should("test logprob") {
+            // uncomment below to test the property
+            // modelInstance.logprob shouldBe ("TODO")
+        }
+
+        // to test the property `bytes` - The bytes that were used to generate
+        // the log probability.
+        should("test bytes") {
+            // uncomment below to test the property
+            // modelInstance.bytes shouldBe ("TODO")
+        }
+
+        // to test the property `topLogprobs`
+        should("test topLogprobs") {
+            // uncomment below to test the property
+            // modelInstance.topLogprobs shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ModelIdsResponsesTest.kt b/lib/src/test/kotlin/com/openai/models/ModelIdsResponsesTest.kt
new file mode 100644
index 00000000..641efacc
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ModelIdsResponsesTest.kt
@@ -0,0 +1,22 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ModelIdsResponsesTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ModelIdsResponses
+        // val modelInstance = ModelIdsResponses()
+
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ModelIdsSharedTest.kt b/lib/src/test/kotlin/com/openai/models/ModelIdsSharedTest.kt
new file mode 100644
index 00000000..541f1e3e
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ModelIdsSharedTest.kt
@@ -0,0 +1,22 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ModelIdsSharedTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ModelIdsShared
+        // val modelInstance = ModelIdsShared()
+
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ModelIdsTest.kt b/lib/src/test/kotlin/com/openai/models/ModelIdsTest.kt
new file mode 100644
index 00000000..3964dce2
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ModelIdsTest.kt
@@ -0,0 +1,22 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ModelIdsTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ModelIds
+        // val modelInstance = ModelIds()
+
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ModelResponsePropertiesTest.kt b/lib/src/test/kotlin/com/openai/models/ModelResponsePropertiesTest.kt
new file mode 100644
index 00000000..e019478a
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ModelResponsePropertiesTest.kt
@@ -0,0 +1,60 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ModelResponsePropertiesTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ModelResponseProperties
+        // val modelInstance = ModelResponseProperties()
+
+        // to test the property `metadata` - Set of 16 key-value pairs that can
+        // be attached to an object. This can be useful for storing additional
+        // information about the object in a structured format, and querying for
+        // objects via API or the dashboard.   Keys are strings with a maximum
+        // length of 64 characters. Values are strings with a maximum length of
+        // 512 characters.
+        should("test metadata") {
+            // uncomment below to test the property
+            // modelInstance.metadata shouldBe ("TODO")
+        }
+
+        // to test the property `temperature` - What sampling temperature to
+        // use, between 0 and 2. Higher values like 0.8 will make the output
+        // more random, while lower values like 0.2 will make it more focused
+        // and deterministic. We generally recommend altering this or `top_p`
+        // but not both.
+        should("test temperature") {
+            // uncomment below to test the property
+            // modelInstance.temperature shouldBe ("TODO")
+        }
+
+        // to test the property `topP` - An alternative to sampling with
+        // temperature, called nucleus sampling, where the model considers the
+        // results of the tokens with top_p probability mass. So 0.1 means only
+        // the tokens comprising the top 10% probability mass are considered.
+        // We generally recommend altering this or `temperature` but not both.
+        should("test topP") {
+            // uncomment below to test the property
+            // modelInstance.topP shouldBe ("TODO")
+        }
+
+        // to test the property `user` - A unique identifier representing your
+        // end-user, which can help OpenAI to monitor and detect abuse. [Learn
+        // more](/docs/guides/safety-best-practices#end-user-ids).
+        should("test user") {
+            // uncomment below to test the property
+            // modelInstance.user shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/MoveTest.kt b/lib/src/test/kotlin/com/openai/models/MoveTest.kt
new file mode 100644
index 00000000..6e3831f7
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/MoveTest.kt
@@ -0,0 +1,40 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class MoveTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of Move
+        // val modelInstance = Move()
+
+        // to test the property `type` - Specifies the event type. For a move
+        // action, this property is  always set to `move`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `x` - The x-coordinate to move to.
+        should("test x") {
+            // uncomment below to test the property
+            // modelInstance.x shouldBe ("TODO")
+        }
+
+        // to test the property `y` - The y-coordinate to move to.
+        should("test y") {
+            // uncomment below to test the property
+            // modelInstance.y shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/OpenAIFileTest.kt b/lib/src/test/kotlin/com/openai/models/OpenAIFileTest.kt
index 89be1f64..f66119f5 100644
--- a/lib/src/test/kotlin/com/openai/models/OpenAIFileTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/OpenAIFileTest.kt
@@ -66,6 +66,13 @@ class OpenAIFileTest : ShouldSpec() {
             // modelInstance.status shouldBe ("TODO")
         }
 
+        // to test the property `expiresAt` - The Unix timestamp (in seconds)
+        // for when the file will expire.
+        should("test expiresAt") {
+            // uncomment below to test the property
+            // modelInstance.expiresAt shouldBe ("TODO")
+        }
+
         // to test the property `statusDetails` - Deprecated. For details on why
         // a fine-tuning training file failed validation, see the `error` field
         // on `fine_tuning.job`.
diff --git a/lib/src/test/kotlin/com/openai/models/OutputAudioTest.kt b/lib/src/test/kotlin/com/openai/models/OutputAudioTest.kt
new file mode 100644
index 00000000..2c430fb1
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/OutputAudioTest.kt
@@ -0,0 +1,42 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class OutputAudioTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of OutputAudio
+        // val modelInstance = OutputAudio()
+
+        // to test the property `type` - The type of the output audio. Always
+        // `output_audio`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property ``data`` - Base64-encoded audio data from the
+        // model.
+        should("test `data`") {
+            // uncomment below to test the property
+            // modelInstance.`data` shouldBe ("TODO")
+        }
+
+        // to test the property `transcript` - The transcript of the audio data
+        // from the model.
+        should("test transcript") {
+            // uncomment below to test the property
+            // modelInstance.transcript shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/OutputContentTest.kt b/lib/src/test/kotlin/com/openai/models/OutputContentTest.kt
new file mode 100644
index 00000000..6763ce5f
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/OutputContentTest.kt
@@ -0,0 +1,48 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class OutputContentTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of OutputContent
+        // val modelInstance = OutputContent()
+
+        // to test the property `type` - The type of the output text. Always
+        // `output_text`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `text` - The text output from the model.
+        should("test text") {
+            // uncomment below to test the property
+            // modelInstance.text shouldBe ("TODO")
+        }
+
+        // to test the property `annotations` - The annotations of the text
+        // output.
+        should("test annotations") {
+            // uncomment below to test the property
+            // modelInstance.annotations shouldBe ("TODO")
+        }
+
+        // to test the property `refusal` - The refusal explanationfrom the
+        // model.
+        should("test refusal") {
+            // uncomment below to test the property
+            // modelInstance.refusal shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/OutputItemTest.kt b/lib/src/test/kotlin/com/openai/models/OutputItemTest.kt
new file mode 100644
index 00000000..42e6970e
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/OutputItemTest.kt
@@ -0,0 +1,109 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class OutputItemTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of OutputItem
+        // val modelInstance = OutputItem()
+
+        // to test the property `id` - The unique identifier of the reasoning
+        // content.
+        should("test id") {
+            // uncomment below to test the property
+            // modelInstance.id shouldBe ("TODO")
+        }
+
+        // to test the property `type` - The type of the output message. Always
+        // `message`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `role` - The role of the output message. Always
+        // `assistant`.
+        should("test role") {
+            // uncomment below to test the property
+            // modelInstance.role shouldBe ("TODO")
+        }
+
+        // to test the property `content` - The content of the output message.
+        should("test content") {
+            // uncomment below to test the property
+            // modelInstance.content shouldBe ("TODO")
+        }
+
+        // to test the property `status` - The status of the item. One of
+        // `in_progress`, `completed`, or `incomplete`. Populated when items are
+        // returned via API.
+        should("test status") {
+            // uncomment below to test the property
+            // modelInstance.status shouldBe ("TODO")
+        }
+
+        // to test the property `queries` - The queries used to search for
+        // files.
+        should("test queries") {
+            // uncomment below to test the property
+            // modelInstance.queries shouldBe ("TODO")
+        }
+
+        // to test the property `callId` - An identifier used when responding to
+        // the tool call with output.
+        should("test callId") {
+            // uncomment below to test the property
+            // modelInstance.callId shouldBe ("TODO")
+        }
+
+        // to test the property `name` - The name of the function to run.
+        should("test name") {
+            // uncomment below to test the property
+            // modelInstance.name shouldBe ("TODO")
+        }
+
+        // to test the property `arguments` - A JSON string of the arguments to
+        // pass to the function.
+        should("test arguments") {
+            // uncomment below to test the property
+            // modelInstance.arguments shouldBe ("TODO")
+        }
+
+        // to test the property `action`
+        should("test action") {
+            // uncomment below to test the property
+            // modelInstance.action shouldBe ("TODO")
+        }
+
+        // to test the property `pendingSafetyChecks` - The pending safety
+        // checks for the computer call.
+        should("test pendingSafetyChecks") {
+            // uncomment below to test the property
+            // modelInstance.pendingSafetyChecks shouldBe ("TODO")
+        }
+
+        // to test the property `summary` - Reasoning text contents.
+        should("test summary") {
+            // uncomment below to test the property
+            // modelInstance.summary shouldBe ("TODO")
+        }
+
+        // to test the property `results` - The results of the file search tool
+        // call.
+        should("test results") {
+            // uncomment below to test the property
+            // modelInstance.results shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/OutputMessageTest.kt b/lib/src/test/kotlin/com/openai/models/OutputMessageTest.kt
new file mode 100644
index 00000000..1ef3536f
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/OutputMessageTest.kt
@@ -0,0 +1,55 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class OutputMessageTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of OutputMessage
+        // val modelInstance = OutputMessage()
+
+        // to test the property `id` - The unique ID of the output message.
+        should("test id") {
+            // uncomment below to test the property
+            // modelInstance.id shouldBe ("TODO")
+        }
+
+        // to test the property `type` - The type of the output message. Always
+        // `message`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `role` - The role of the output message. Always
+        // `assistant`.
+        should("test role") {
+            // uncomment below to test the property
+            // modelInstance.role shouldBe ("TODO")
+        }
+
+        // to test the property `content` - The content of the output message.
+        should("test content") {
+            // uncomment below to test the property
+            // modelInstance.content shouldBe ("TODO")
+        }
+
+        // to test the property `status` - The status of the message input. One
+        // of `in_progress`, `completed`, or `incomplete`. Populated when input
+        // items are returned via API.
+        should("test status") {
+            // uncomment below to test the property
+            // modelInstance.status shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/OutputTextTest.kt b/lib/src/test/kotlin/com/openai/models/OutputTextTest.kt
new file mode 100644
index 00000000..e8426d70
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/OutputTextTest.kt
@@ -0,0 +1,41 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class OutputTextTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of OutputText
+        // val modelInstance = OutputText()
+
+        // to test the property `type` - The type of the output text. Always
+        // `output_text`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `text` - The text output from the model.
+        should("test text") {
+            // uncomment below to test the property
+            // modelInstance.text shouldBe ("TODO")
+        }
+
+        // to test the property `annotations` - The annotations of the text
+        // output.
+        should("test annotations") {
+            // uncomment below to test the property
+            // modelInstance.annotations shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/RealtimeClientEventConversationItemRetrieveTest.kt b/lib/src/test/kotlin/com/openai/models/RealtimeClientEventConversationItemRetrieveTest.kt
new file mode 100644
index 00000000..792cd024
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/RealtimeClientEventConversationItemRetrieveTest.kt
@@ -0,0 +1,42 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class RealtimeClientEventConversationItemRetrieveTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // RealtimeClientEventConversationItemRetrieve
+        // val modelInstance = RealtimeClientEventConversationItemRetrieve()
+
+        // to test the property `type` - The event type, must be
+        // `conversation.item.retrieve`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `itemId` - The ID of the item to retrieve.
+        should("test itemId") {
+            // uncomment below to test the property
+            // modelInstance.itemId shouldBe ("TODO")
+        }
+
+        // to test the property `eventId` - Optional client-generated ID used to
+        // identify this event.
+        should("test eventId") {
+            // uncomment below to test the property
+            // modelInstance.eventId shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/RealtimeClientEventTest.kt b/lib/src/test/kotlin/com/openai/models/RealtimeClientEventTest.kt
new file mode 100644
index 00000000..fdbc3609
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/RealtimeClientEventTest.kt
@@ -0,0 +1,104 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class RealtimeClientEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of RealtimeClientEvent
+        // val modelInstance = RealtimeClientEvent()
+
+        // to test the property `type` - The event type, must be
+        // `conversation.item.create`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `item`
+        should("test item") {
+            // uncomment below to test the property
+            // modelInstance.item shouldBe ("TODO")
+        }
+
+        // to test the property `itemId` - The ID of the assistant message item
+        // to truncate. Only assistant message  items can be truncated.
+        should("test itemId") {
+            // uncomment below to test the property
+            // modelInstance.itemId shouldBe ("TODO")
+        }
+
+        // to test the property `contentIndex` - The index of the content part
+        // to truncate. Set this to 0.
+        should("test contentIndex") {
+            // uncomment below to test the property
+            // modelInstance.contentIndex shouldBe ("TODO")
+        }
+
+        // to test the property `audioEndMs` - Inclusive duration up to which
+        // audio is truncated, in milliseconds. If  the audio_end_ms is greater
+        // than the actual audio duration, the server  will respond with an
+        // error.
+        should("test audioEndMs") {
+            // uncomment below to test the property
+            // modelInstance.audioEndMs shouldBe ("TODO")
+        }
+
+        // to test the property `audio` - Base64-encoded audio bytes. This must
+        // be in the format specified by the  `input_audio_format` field in the
+        // session configuration.
+        should("test audio") {
+            // uncomment below to test the property
+            // modelInstance.audio shouldBe ("TODO")
+        }
+
+        // to test the property `session`
+        should("test session") {
+            // uncomment below to test the property
+            // modelInstance.session shouldBe ("TODO")
+        }
+
+        // to test the property `eventId` - Optional client-generated ID used to
+        // identify this event.
+        should("test eventId") {
+            // uncomment below to test the property
+            // modelInstance.eventId shouldBe ("TODO")
+        }
+
+        // to test the property `previousItemId` - The ID of the preceding item
+        // after which the new item will be inserted.  If not set, the new item
+        // will be appended to the end of the conversation. If set to `root`,
+        // the new item will be added to the beginning of the conversation. If
+        // set to an existing ID, it allows an item to be inserted
+        // mid-conversation. If the ID cannot be found, an error will be
+        // returned and the item will not be added.
+        should("test previousItemId") {
+            // uncomment below to test the property
+            // modelInstance.previousItemId shouldBe ("TODO")
+        }
+
+        // to test the property `responseId` - A specific response ID to cancel
+        // - if not provided, will cancel an  in-progress response in the
+        // default conversation.
+        should("test responseId") {
+            // uncomment below to test the property
+            // modelInstance.responseId shouldBe ("TODO")
+        }
+
+        // to test the property `response`
+        should("test response") {
+            // uncomment below to test the property
+            // modelInstance.response shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/RealtimeClientEventTranscriptionSessionUpdateTest.kt b/lib/src/test/kotlin/com/openai/models/RealtimeClientEventTranscriptionSessionUpdateTest.kt
new file mode 100644
index 00000000..e9ea3261
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/RealtimeClientEventTranscriptionSessionUpdateTest.kt
@@ -0,0 +1,42 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class RealtimeClientEventTranscriptionSessionUpdateTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // RealtimeClientEventTranscriptionSessionUpdate
+        // val modelInstance = RealtimeClientEventTranscriptionSessionUpdate()
+
+        // to test the property `type` - The event type, must be
+        // `transcription_session.update`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `session`
+        should("test session") {
+            // uncomment below to test the property
+            // modelInstance.session shouldBe ("TODO")
+        }
+
+        // to test the property `eventId` - Optional client-generated ID used to
+        // identify this event.
+        should("test eventId") {
+            // uncomment below to test the property
+            // modelInstance.eventId shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/RealtimeResponseCreateParamsMaxResponseOutputTokensTest.kt b/lib/src/test/kotlin/com/openai/models/RealtimeResponseCreateParamsMaxResponseOutputTokensTest.kt
new file mode 100644
index 00000000..a5211759
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/RealtimeResponseCreateParamsMaxResponseOutputTokensTest.kt
@@ -0,0 +1,24 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class RealtimeResponseCreateParamsMaxResponseOutputTokensTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // RealtimeResponseCreateParamsMaxResponseOutputTokens
+        // val modelInstance =
+        // RealtimeResponseCreateParamsMaxResponseOutputTokens()
+
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/RealtimeResponseCreateParamsTest.kt b/lib/src/test/kotlin/com/openai/models/RealtimeResponseCreateParamsTest.kt
index d2e63dab..e7b465d4 100644
--- a/lib/src/test/kotlin/com/openai/models/RealtimeResponseCreateParamsTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/RealtimeResponseCreateParamsTest.kt
@@ -42,11 +42,7 @@ class RealtimeResponseCreateParamsTest : ShouldSpec() {
             // modelInstance.instructions shouldBe ("TODO")
         }
 
-        // to test the property `voice` - The voice the model uses to respond.
-        // Voice cannot be changed during the  session once the model has
-        // responded with audio at least once. Current  voice options are
-        // `alloy`, `ash`, `ballad`, `coral`, `echo` `sage`,  `shimmer` and
-        // `verse`.
+        // to test the property `voice`
         should("test voice") {
             // uncomment below to test the property
             // modelInstance.voice shouldBe ("TODO")
diff --git a/lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestStopTest.kt b/lib/src/test/kotlin/com/openai/models/RealtimeResponseMaxOutputTokensTest.kt
similarity index 70%
rename from lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestStopTest.kt
rename to lib/src/test/kotlin/com/openai/models/RealtimeResponseMaxOutputTokensTest.kt
index 1248f5c1..ea93fb4a 100644
--- a/lib/src/test/kotlin/com/openai/models/CreateChatCompletionRequestStopTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/RealtimeResponseMaxOutputTokensTest.kt
@@ -13,11 +13,11 @@ package com.openai.models
 
 import io.kotlintest.specs.ShouldSpec
 
-class CreateChatCompletionRequestStopTest : ShouldSpec() {
+class RealtimeResponseMaxOutputTokensTest : ShouldSpec() {
     init {
         // uncomment below to create an instance of
-        // CreateChatCompletionRequestStop
-        // val modelInstance = CreateChatCompletionRequestStop()
+        // RealtimeResponseMaxOutputTokens
+        // val modelInstance = RealtimeResponseMaxOutputTokens()
 
     }
 }
diff --git a/lib/src/test/kotlin/com/openai/models/RealtimeResponseTest.kt b/lib/src/test/kotlin/com/openai/models/RealtimeResponseTest.kt
index de37602a..5d1ecc98 100644
--- a/lib/src/test/kotlin/com/openai/models/RealtimeResponseTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/RealtimeResponseTest.kt
@@ -82,9 +82,7 @@ class RealtimeResponseTest : ShouldSpec() {
             // modelInstance.conversationId shouldBe ("TODO")
         }
 
-        // to test the property `voice` - The voice the model used to respond.
-        // Current voice options are `alloy`, `ash`, `ballad`, `coral`, `echo`
-        // `sage`,  `shimmer` and `verse`.
+        // to test the property `voice`
         should("test voice") {
             // uncomment below to test the property
             // modelInstance.voice shouldBe ("TODO")
diff --git a/lib/src/test/kotlin/com/openai/models/RealtimeServerEventConversationItemInputAudioTranscriptionCompletedTest.kt b/lib/src/test/kotlin/com/openai/models/RealtimeServerEventConversationItemInputAudioTranscriptionCompletedTest.kt
index 88b78332..02378b67 100644
--- a/lib/src/test/kotlin/com/openai/models/RealtimeServerEventConversationItemInputAudioTranscriptionCompletedTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/RealtimeServerEventConversationItemInputAudioTranscriptionCompletedTest.kt
@@ -53,5 +53,12 @@ class RealtimeServerEventConversationItemInputAudioTranscriptionCompletedTest :
             // uncomment below to test the property
             // modelInstance.transcript shouldBe ("TODO")
         }
+
+        // to test the property `logprobs` - The log probabilities of the
+        // transcription.
+        should("test logprobs") {
+            // uncomment below to test the property
+            // modelInstance.logprobs shouldBe ("TODO")
+        }
     }
 }
diff --git a/lib/src/test/kotlin/com/openai/models/RealtimeServerEventConversationItemInputAudioTranscriptionDeltaTest.kt b/lib/src/test/kotlin/com/openai/models/RealtimeServerEventConversationItemInputAudioTranscriptionDeltaTest.kt
new file mode 100644
index 00000000..8e69e1a3
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/RealtimeServerEventConversationItemInputAudioTranscriptionDeltaTest.kt
@@ -0,0 +1,63 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class RealtimeServerEventConversationItemInputAudioTranscriptionDeltaTest :
+    ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // RealtimeServerEventConversationItemInputAudioTranscriptionDelta
+        // val modelInstance =
+        // RealtimeServerEventConversationItemInputAudioTranscriptionDelta()
+
+        // to test the property `eventId` - The unique ID of the server event.
+        should("test eventId") {
+            // uncomment below to test the property
+            // modelInstance.eventId shouldBe ("TODO")
+        }
+
+        // to test the property `type` - The event type, must be
+        // `conversation.item.input_audio_transcription.delta`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `itemId` - The ID of the item.
+        should("test itemId") {
+            // uncomment below to test the property
+            // modelInstance.itemId shouldBe ("TODO")
+        }
+
+        // to test the property `contentIndex` - The index of the content part
+        // in the item's content array.
+        should("test contentIndex") {
+            // uncomment below to test the property
+            // modelInstance.contentIndex shouldBe ("TODO")
+        }
+
+        // to test the property `delta` - The text delta.
+        should("test delta") {
+            // uncomment below to test the property
+            // modelInstance.delta shouldBe ("TODO")
+        }
+
+        // to test the property `logprobs` - The log probabilities of the
+        // transcription.
+        should("test logprobs") {
+            // uncomment below to test the property
+            // modelInstance.logprobs shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/RealtimeServerEventConversationItemRetrievedTest.kt b/lib/src/test/kotlin/com/openai/models/RealtimeServerEventConversationItemRetrievedTest.kt
new file mode 100644
index 00000000..5a073c55
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/RealtimeServerEventConversationItemRetrievedTest.kt
@@ -0,0 +1,41 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class RealtimeServerEventConversationItemRetrievedTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // RealtimeServerEventConversationItemRetrieved
+        // val modelInstance = RealtimeServerEventConversationItemRetrieved()
+
+        // to test the property `eventId` - The unique ID of the server event.
+        should("test eventId") {
+            // uncomment below to test the property
+            // modelInstance.eventId shouldBe ("TODO")
+        }
+
+        // to test the property `type` - The event type, must be
+        // `conversation.item.retrieved`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `item`
+        should("test item") {
+            // uncomment below to test the property
+            // modelInstance.item shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/RealtimeServerEventTest.kt b/lib/src/test/kotlin/com/openai/models/RealtimeServerEventTest.kt
new file mode 100644
index 00000000..ba9a059c
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/RealtimeServerEventTest.kt
@@ -0,0 +1,167 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class RealtimeServerEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of RealtimeServerEvent
+        // val modelInstance = RealtimeServerEvent()
+
+        // to test the property `eventId` - The unique ID of the server event.
+        should("test eventId") {
+            // uncomment below to test the property
+            // modelInstance.eventId shouldBe ("TODO")
+        }
+
+        // to test the property `type` - The event type, must be
+        // `conversation.created`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `conversation`
+        should("test conversation") {
+            // uncomment below to test the property
+            // modelInstance.conversation shouldBe ("TODO")
+        }
+
+        // to test the property `previousItemId` - The ID of the preceding item
+        // after which the new item will be inserted.
+        should("test previousItemId") {
+            // uncomment below to test the property
+            // modelInstance.previousItemId shouldBe ("TODO")
+        }
+
+        // to test the property `item`
+        should("test item") {
+            // uncomment below to test the property
+            // modelInstance.item shouldBe ("TODO")
+        }
+
+        // to test the property `itemId` - The ID of the item.
+        should("test itemId") {
+            // uncomment below to test the property
+            // modelInstance.itemId shouldBe ("TODO")
+        }
+
+        // to test the property `contentIndex` - The index of the content part
+        // in the item's content array.
+        should("test contentIndex") {
+            // uncomment below to test the property
+            // modelInstance.contentIndex shouldBe ("TODO")
+        }
+
+        // to test the property `transcript` - The final transcript of the
+        // audio.
+        should("test transcript") {
+            // uncomment below to test the property
+            // modelInstance.transcript shouldBe ("TODO")
+        }
+
+        // to test the property `delta` - The text delta.
+        should("test delta") {
+            // uncomment below to test the property
+            // modelInstance.delta shouldBe ("TODO")
+        }
+
+        // to test the property `error`
+        should("test error") {
+            // uncomment below to test the property
+            // modelInstance.error shouldBe ("TODO")
+        }
+
+        // to test the property `audioEndMs` - Milliseconds since the session
+        // started when speech stopped. This will  correspond to the end of
+        // audio sent to the model, and thus includes the
+        // `min_silence_duration_ms` configured in the Session.
+        should("test audioEndMs") {
+            // uncomment below to test the property
+            // modelInstance.audioEndMs shouldBe ("TODO")
+        }
+
+        // to test the property `audioStartMs` - Milliseconds from the start of
+        // all audio written to the buffer during the  session when speech was
+        // first detected. This will correspond to the  beginning of audio sent
+        // to the model, and thus includes the  `prefix_padding_ms` configured
+        // in the Session.
+        should("test audioStartMs") {
+            // uncomment below to test the property
+            // modelInstance.audioStartMs shouldBe ("TODO")
+        }
+
+        // to test the property `rateLimits` - List of rate limit information.
+        should("test rateLimits") {
+            // uncomment below to test the property
+            // modelInstance.rateLimits shouldBe ("TODO")
+        }
+
+        // to test the property `responseId` - The ID of the response.
+        should("test responseId") {
+            // uncomment below to test the property
+            // modelInstance.responseId shouldBe ("TODO")
+        }
+
+        // to test the property `outputIndex` - The index of the output item in
+        // the response.
+        should("test outputIndex") {
+            // uncomment below to test the property
+            // modelInstance.outputIndex shouldBe ("TODO")
+        }
+
+        // to test the property `part`
+        should("test part") {
+            // uncomment below to test the property
+            // modelInstance.part shouldBe ("TODO")
+        }
+
+        // to test the property `response`
+        should("test response") {
+            // uncomment below to test the property
+            // modelInstance.response shouldBe ("TODO")
+        }
+
+        // to test the property `callId` - The ID of the function call.
+        should("test callId") {
+            // uncomment below to test the property
+            // modelInstance.callId shouldBe ("TODO")
+        }
+
+        // to test the property `arguments` - The final arguments as a JSON
+        // string.
+        should("test arguments") {
+            // uncomment below to test the property
+            // modelInstance.arguments shouldBe ("TODO")
+        }
+
+        // to test the property `text` - The final text content.
+        should("test text") {
+            // uncomment below to test the property
+            // modelInstance.text shouldBe ("TODO")
+        }
+
+        // to test the property `session`
+        should("test session") {
+            // uncomment below to test the property
+            // modelInstance.session shouldBe ("TODO")
+        }
+
+        // to test the property `logprobs` - The log probabilities of the
+        // transcription.
+        should("test logprobs") {
+            // uncomment below to test the property
+            // modelInstance.logprobs shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/RealtimeServerEventTranscriptionSessionUpdatedTest.kt b/lib/src/test/kotlin/com/openai/models/RealtimeServerEventTranscriptionSessionUpdatedTest.kt
new file mode 100644
index 00000000..0138c13e
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/RealtimeServerEventTranscriptionSessionUpdatedTest.kt
@@ -0,0 +1,41 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class RealtimeServerEventTranscriptionSessionUpdatedTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // RealtimeServerEventTranscriptionSessionUpdated
+        // val modelInstance = RealtimeServerEventTranscriptionSessionUpdated()
+
+        // to test the property `eventId` - The unique ID of the server event.
+        should("test eventId") {
+            // uncomment below to test the property
+            // modelInstance.eventId shouldBe ("TODO")
+        }
+
+        // to test the property `type` - The event type, must be
+        // `transcription_session.updated`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `session`
+        should("test session") {
+            // uncomment below to test the property
+            // modelInstance.session shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/RealtimeSessionCreateRequestTest.kt b/lib/src/test/kotlin/com/openai/models/RealtimeSessionCreateRequestTest.kt
index bc776d87..b86aaff8 100644
--- a/lib/src/test/kotlin/com/openai/models/RealtimeSessionCreateRequestTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/RealtimeSessionCreateRequestTest.kt
@@ -40,7 +40,7 @@ class RealtimeSessionCreateRequestTest : ShouldSpec() {
         // responses\") and on audio behavior (e.g. \"talk quickly\", \"inject
         // emotion  into your voice\", \"laugh frequently\"). The instructions
         // are not guaranteed  to be followed by the model, but they provide
-        // guidance to the model on the  desired behavior.  Note that the server
+        // guidance to the model on the desired behavior.  Note that the server
         // sets default instructions which will be used if this  field is not
         // set and are visible in the `session.created` event at the  start of
         // the session.
@@ -49,11 +49,7 @@ class RealtimeSessionCreateRequestTest : ShouldSpec() {
             // modelInstance.instructions shouldBe ("TODO")
         }
 
-        // to test the property `voice` - The voice the model uses to respond.
-        // Voice cannot be changed during the  session once the model has
-        // responded with audio at least once. Current  voice options are
-        // `alloy`, `ash`, `ballad`, `coral`, `echo` `sage`,  `shimmer` and
-        // `verse`.
+        // to test the property `voice`
         should("test voice") {
             // uncomment below to test the property
             // modelInstance.voice shouldBe ("TODO")
@@ -88,6 +84,12 @@ class RealtimeSessionCreateRequestTest : ShouldSpec() {
             // modelInstance.turnDetection shouldBe ("TODO")
         }
 
+        // to test the property `inputAudioNoiseReduction`
+        should("test inputAudioNoiseReduction") {
+            // uncomment below to test the property
+            // modelInstance.inputAudioNoiseReduction shouldBe ("TODO")
+        }
+
         // to test the property `tools` - Tools (functions) available to the
         // model.
         should("test tools") {
@@ -103,7 +105,8 @@ class RealtimeSessionCreateRequestTest : ShouldSpec() {
         }
 
         // to test the property `temperature` - Sampling temperature for the
-        // model, limited to [0.6, 1.2]. Defaults to 0.8.
+        // model, limited to [0.6, 1.2]. For audio models a temperature of 0.8
+        // is highly recommended for best performance.
         should("test temperature") {
             // uncomment below to test the property
             // modelInstance.temperature shouldBe ("TODO")
diff --git a/lib/src/test/kotlin/com/openai/models/RealtimeSessionCreateRequestTurnDetectionTest.kt b/lib/src/test/kotlin/com/openai/models/RealtimeSessionCreateRequestTurnDetectionTest.kt
deleted file mode 100644
index bde09d82..00000000
--- a/lib/src/test/kotlin/com/openai/models/RealtimeSessionCreateRequestTurnDetectionTest.kt
+++ /dev/null
@@ -1,62 +0,0 @@
-/**
- * Please note: This class is auto generated by OpenAPI Generator
- * (https://openapi-generator.tech). Do not edit this file manually.
- */
-@file:Suppress(
-    "ArrayInDataClass",
-    "EnumEntryName",
-    "RemoveRedundantQualifierName",
-    "UnusedImport",
-)
-
-package com.openai.models
-
-import io.kotlintest.specs.ShouldSpec
-
-class RealtimeSessionCreateRequestTurnDetectionTest : ShouldSpec() {
-    init {
-        // uncomment below to create an instance of
-        // RealtimeSessionCreateRequestTurnDetection
-        // val modelInstance = RealtimeSessionCreateRequestTurnDetection()
-
-        // to test the property `type` - Type of turn detection, only
-        // `server_vad` is currently supported.
-        should("test type") {
-            // uncomment below to test the property
-            // modelInstance.type shouldBe ("TODO")
-        }
-
-        // to test the property `threshold` - Activation threshold for VAD (0.0
-        // to 1.0), this defaults to 0.5. A  higher threshold will require
-        // louder audio to activate the model, and  thus might perform better in
-        // noisy environments.
-        should("test threshold") {
-            // uncomment below to test the property
-            // modelInstance.threshold shouldBe ("TODO")
-        }
-
-        // to test the property `prefixPaddingMs` - Amount of audio to include
-        // before the VAD detected speech (in  milliseconds). Defaults to 300ms.
-        should("test prefixPaddingMs") {
-            // uncomment below to test the property
-            // modelInstance.prefixPaddingMs shouldBe ("TODO")
-        }
-
-        // to test the property `silenceDurationMs` - Duration of silence to
-        // detect speech stop (in milliseconds). Defaults  to 500ms. With
-        // shorter values the model will respond more quickly,  but may jump in
-        // on short pauses from the user.
-        should("test silenceDurationMs") {
-            // uncomment below to test the property
-            // modelInstance.silenceDurationMs shouldBe ("TODO")
-        }
-
-        // to test the property `createResponse` - Whether or not to
-        // automatically generate a response when VAD is enabled. `true` by
-        // default.
-        should("test createResponse") {
-            // uncomment below to test the property
-            // modelInstance.createResponse shouldBe ("TODO")
-        }
-    }
-}
diff --git a/lib/src/test/kotlin/com/openai/models/RealtimeSessionCreateResponseInputAudioTranscriptionTest.kt b/lib/src/test/kotlin/com/openai/models/RealtimeSessionCreateResponseInputAudioTranscriptionTest.kt
new file mode 100644
index 00000000..8ef0c2d5
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/RealtimeSessionCreateResponseInputAudioTranscriptionTest.kt
@@ -0,0 +1,30 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class RealtimeSessionCreateResponseInputAudioTranscriptionTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // RealtimeSessionCreateResponseInputAudioTranscription
+        // val modelInstance =
+        // RealtimeSessionCreateResponseInputAudioTranscription()
+
+        // to test the property `model` - The model to use for transcription,
+        // `whisper-1` is the only currently  supported model.
+        should("test model") {
+            // uncomment below to test the property
+            // modelInstance.model shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/RealtimeSessionCreateResponseTest.kt b/lib/src/test/kotlin/com/openai/models/RealtimeSessionCreateResponseTest.kt
index 09baaa6c..4e449d3a 100644
--- a/lib/src/test/kotlin/com/openai/models/RealtimeSessionCreateResponseTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/RealtimeSessionCreateResponseTest.kt
@@ -49,11 +49,7 @@ class RealtimeSessionCreateResponseTest : ShouldSpec() {
             // modelInstance.instructions shouldBe ("TODO")
         }
 
-        // to test the property `voice` - The voice the model uses to respond.
-        // Voice cannot be changed during the  session once the model has
-        // responded with audio at least once. Current  voice options are
-        // `alloy`, `ash`, `ballad`, `coral`, `echo` `sage`,  `shimmer` and
-        // `verse`.
+        // to test the property `voice`
         should("test voice") {
             // uncomment below to test the property
             // modelInstance.voice shouldBe ("TODO")
diff --git a/lib/src/test/kotlin/com/openai/models/RealtimeSessionInputAudioNoiseReductionTest.kt b/lib/src/test/kotlin/com/openai/models/RealtimeSessionInputAudioNoiseReductionTest.kt
new file mode 100644
index 00000000..f01b55a4
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/RealtimeSessionInputAudioNoiseReductionTest.kt
@@ -0,0 +1,31 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class RealtimeSessionInputAudioNoiseReductionTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // RealtimeSessionInputAudioNoiseReduction
+        // val modelInstance = RealtimeSessionInputAudioNoiseReduction()
+
+        // to test the property `type` - Type of noise reduction. `near_field`
+        // is for close-talking microphones such as headphones, `far_field` is
+        // for far-field microphones such as laptop or conference room
+        // microphones.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/RealtimeSessionInputAudioTranscriptionTest.kt b/lib/src/test/kotlin/com/openai/models/RealtimeSessionInputAudioTranscriptionTest.kt
index 9138b229..beb1736b 100644
--- a/lib/src/test/kotlin/com/openai/models/RealtimeSessionInputAudioTranscriptionTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/RealtimeSessionInputAudioTranscriptionTest.kt
@@ -20,10 +20,31 @@ class RealtimeSessionInputAudioTranscriptionTest : ShouldSpec() {
         // val modelInstance = RealtimeSessionInputAudioTranscription()
 
         // to test the property `model` - The model to use for transcription,
-        // `whisper-1` is the only currently  supported model.
+        // current options are `gpt-4o-transcribe`, `gpt-4o-mini-transcribe`,
+        // and `whisper-1`.
         should("test model") {
             // uncomment below to test the property
             // modelInstance.model shouldBe ("TODO")
         }
+
+        // to test the property `language` - The language of the input audio.
+        // Supplying the input language in
+        // [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes)
+        // (e.g. `en`) format will improve accuracy and latency.
+        should("test language") {
+            // uncomment below to test the property
+            // modelInstance.language shouldBe ("TODO")
+        }
+
+        // to test the property `prompt` - An optional text to guide the model's
+        // style or continue a previous audio segment. For `whisper-1`, the
+        // [prompt is a list of
+        // keywords](/docs/guides/speech-to-text#prompting). For
+        // `gpt-4o-transcribe` models, the prompt is a free text string, for
+        // example \"expect words related to technology\".
+        should("test prompt") {
+            // uncomment below to test the property
+            // modelInstance.prompt shouldBe ("TODO")
+        }
     }
 }
diff --git a/lib/src/test/kotlin/com/openai/models/RealtimeSessionTest.kt b/lib/src/test/kotlin/com/openai/models/RealtimeSessionTest.kt
index e6af81de..90a5b0b5 100644
--- a/lib/src/test/kotlin/com/openai/models/RealtimeSessionTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/RealtimeSessionTest.kt
@@ -18,7 +18,8 @@ class RealtimeSessionTest : ShouldSpec() {
         // uncomment below to create an instance of RealtimeSession
         // val modelInstance = RealtimeSession()
 
-        // to test the property `id` - Unique identifier for the session object.
+        // to test the property `id` - Unique identifier for the session that
+        // looks like `sess_1234567890abcdef`.
         should("test id") {
             // uncomment below to test the property
             // modelInstance.id shouldBe ("TODO")
@@ -31,7 +32,8 @@ class RealtimeSessionTest : ShouldSpec() {
             // modelInstance.modalities shouldBe ("TODO")
         }
 
-        // to test the property `model`
+        // to test the property `model` - The Realtime model used for this
+        // session.
         should("test model") {
             // uncomment below to test the property
             // modelInstance.model shouldBe ("TODO")
@@ -45,7 +47,7 @@ class RealtimeSessionTest : ShouldSpec() {
         // responses\") and on audio behavior (e.g. \"talk quickly\", \"inject
         // emotion  into your voice\", \"laugh frequently\"). The instructions
         // are not guaranteed  to be followed by the model, but they provide
-        // guidance to the model on the  desired behavior.  Note that the server
+        // guidance to the model on the desired behavior.  Note that the server
         // sets default instructions which will be used if this  field is not
         // set and are visible in the `session.created` event at the  start of
         // the session.
@@ -54,11 +56,7 @@ class RealtimeSessionTest : ShouldSpec() {
             // modelInstance.instructions shouldBe ("TODO")
         }
 
-        // to test the property `voice` - The voice the model uses to respond.
-        // Voice cannot be changed during the  session once the model has
-        // responded with audio at least once. Current  voice options are
-        // `alloy`, `ash`, `ballad`, `coral`, `echo` `sage`,  `shimmer` and
-        // `verse`.
+        // to test the property `voice`
         should("test voice") {
             // uncomment below to test the property
             // modelInstance.voice shouldBe ("TODO")
@@ -93,6 +91,12 @@ class RealtimeSessionTest : ShouldSpec() {
             // modelInstance.turnDetection shouldBe ("TODO")
         }
 
+        // to test the property `inputAudioNoiseReduction`
+        should("test inputAudioNoiseReduction") {
+            // uncomment below to test the property
+            // modelInstance.inputAudioNoiseReduction shouldBe ("TODO")
+        }
+
         // to test the property `tools` - Tools (functions) available to the
         // model.
         should("test tools") {
@@ -108,7 +112,8 @@ class RealtimeSessionTest : ShouldSpec() {
         }
 
         // to test the property `temperature` - Sampling temperature for the
-        // model, limited to [0.6, 1.2]. Defaults to 0.8.
+        // model, limited to [0.6, 1.2]. For audio models a temperature of 0.8
+        // is highly recommended for best performance.
         should("test temperature") {
             // uncomment below to test the property
             // modelInstance.temperature shouldBe ("TODO")
diff --git a/lib/src/test/kotlin/com/openai/models/RealtimeSessionTurnDetectionTest.kt b/lib/src/test/kotlin/com/openai/models/RealtimeSessionTurnDetectionTest.kt
index b6047383..32e9d819 100644
--- a/lib/src/test/kotlin/com/openai/models/RealtimeSessionTurnDetectionTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/RealtimeSessionTurnDetectionTest.kt
@@ -18,36 +18,61 @@ class RealtimeSessionTurnDetectionTest : ShouldSpec() {
         // uncomment below to create an instance of RealtimeSessionTurnDetection
         // val modelInstance = RealtimeSessionTurnDetection()
 
-        // to test the property `type` - Type of turn detection, only
-        // `server_vad` is currently supported.
+        // to test the property `type` - Type of turn detection.
         should("test type") {
             // uncomment below to test the property
             // modelInstance.type shouldBe ("TODO")
         }
 
-        // to test the property `threshold` - Activation threshold for VAD (0.0
-        // to 1.0), this defaults to 0.5. A  higher threshold will require
-        // louder audio to activate the model, and  thus might perform better in
-        // noisy environments.
+        // to test the property `eagerness` - Used only for `semantic_vad` mode.
+        // The eagerness of the model to respond. `low` will wait longer for the
+        // user to continue speaking, `high` will respond more quickly. `auto`
+        // is the default and is equivalent to `medium`.
+        should("test eagerness") {
+            // uncomment below to test the property
+            // modelInstance.eagerness shouldBe ("TODO")
+        }
+
+        // to test the property `threshold` - Used only for `server_vad` mode.
+        // Activation threshold for VAD (0.0 to 1.0), this defaults to 0.5. A
+        // higher threshold will require louder audio to activate the model, and
+        //  thus might perform better in noisy environments.
         should("test threshold") {
             // uncomment below to test the property
             // modelInstance.threshold shouldBe ("TODO")
         }
 
-        // to test the property `prefixPaddingMs` - Amount of audio to include
-        // before the VAD detected speech (in  milliseconds). Defaults to 300ms.
+        // to test the property `prefixPaddingMs` - Used only for `server_vad`
+        // mode. Amount of audio to include before the VAD detected speech (in
+        // milliseconds). Defaults to 300ms.
         should("test prefixPaddingMs") {
             // uncomment below to test the property
             // modelInstance.prefixPaddingMs shouldBe ("TODO")
         }
 
-        // to test the property `silenceDurationMs` - Duration of silence to
-        // detect speech stop (in milliseconds). Defaults  to 500ms. With
-        // shorter values the model will respond more quickly,  but may jump in
-        // on short pauses from the user.
+        // to test the property `silenceDurationMs` - Used only for `server_vad`
+        // mode. Duration of silence to detect speech stop (in milliseconds).
+        // Defaults  to 500ms. With shorter values the model will respond more
+        // quickly,  but may jump in on short pauses from the user.
         should("test silenceDurationMs") {
             // uncomment below to test the property
             // modelInstance.silenceDurationMs shouldBe ("TODO")
         }
+
+        // to test the property `createResponse` - Whether or not to
+        // automatically generate a response when a VAD stop event occurs.
+        should("test createResponse") {
+            // uncomment below to test the property
+            // modelInstance.createResponse shouldBe ("TODO")
+        }
+
+        // to test the property `interruptResponse` - Whether or not to
+        // automatically interrupt any ongoing response with output to the
+        // default conversation (i.e. `conversation` of `auto`) when a VAD start
+        // event occurs.
+        should("test interruptResponse") {
+            // uncomment below to test the property
+            // modelInstance.interruptResponse shouldBe ("TODO")
+        }
     }
 }
diff --git a/lib/src/test/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateRequestInputAudioTranscriptionTest.kt b/lib/src/test/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateRequestInputAudioTranscriptionTest.kt
new file mode 100644
index 00000000..c017dde1
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateRequestInputAudioTranscriptionTest.kt
@@ -0,0 +1,52 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class RealtimeTranscriptionSessionCreateRequestInputAudioTranscriptionTest :
+    ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // RealtimeTranscriptionSessionCreateRequestInputAudioTranscription
+        // val modelInstance =
+        // RealtimeTranscriptionSessionCreateRequestInputAudioTranscription()
+
+        // to test the property `model` - The model to use for transcription,
+        // current options are `gpt-4o-transcribe`, `gpt-4o-mini-transcribe`,
+        // and `whisper-1`.
+        should("test model") {
+            // uncomment below to test the property
+            // modelInstance.model shouldBe ("TODO")
+        }
+
+        // to test the property `language` - The language of the input audio.
+        // Supplying the input language in
+        // [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes)
+        // (e.g. `en`) format will improve accuracy and latency.
+        should("test language") {
+            // uncomment below to test the property
+            // modelInstance.language shouldBe ("TODO")
+        }
+
+        // to test the property `prompt` - An optional text to guide the model's
+        // style or continue a previous audio segment. For `whisper-1`, the
+        // [prompt is a list of
+        // keywords](/docs/guides/speech-to-text#prompting). For
+        // `gpt-4o-transcribe` models, the prompt is a free text string, for
+        // example \"expect words related to technology\".
+        should("test prompt") {
+            // uncomment below to test the property
+            // modelInstance.prompt shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateRequestTest.kt b/lib/src/test/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateRequestTest.kt
new file mode 100644
index 00000000..3b2b7c79
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateRequestTest.kt
@@ -0,0 +1,64 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class RealtimeTranscriptionSessionCreateRequestTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // RealtimeTranscriptionSessionCreateRequest
+        // val modelInstance = RealtimeTranscriptionSessionCreateRequest()
+
+        // to test the property `modalities` - The set of modalities the model
+        // can respond with. To disable audio, set this to [\"text\"].
+        should("test modalities") {
+            // uncomment below to test the property
+            // modelInstance.modalities shouldBe ("TODO")
+        }
+
+        // to test the property `inputAudioFormat` - The format of input audio.
+        // Options are `pcm16`, `g711_ulaw`, or `g711_alaw`. For `pcm16`, input
+        // audio must be 16-bit PCM at a 24kHz sample rate,  single channel
+        // (mono), and little-endian byte order.
+        should("test inputAudioFormat") {
+            // uncomment below to test the property
+            // modelInstance.inputAudioFormat shouldBe ("TODO")
+        }
+
+        // to test the property `inputAudioTranscription`
+        should("test inputAudioTranscription") {
+            // uncomment below to test the property
+            // modelInstance.inputAudioTranscription shouldBe ("TODO")
+        }
+
+        // to test the property `turnDetection`
+        should("test turnDetection") {
+            // uncomment below to test the property
+            // modelInstance.turnDetection shouldBe ("TODO")
+        }
+
+        // to test the property `inputAudioNoiseReduction`
+        should("test inputAudioNoiseReduction") {
+            // uncomment below to test the property
+            // modelInstance.inputAudioNoiseReduction shouldBe ("TODO")
+        }
+
+        // to test the property `include` - The set of items to include in the
+        // transcription. Current available items are: -
+        // `item.input_audio_transcription.logprobs`
+        should("test include") {
+            // uncomment below to test the property
+            // modelInstance.include shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateRequestTurnDetectionTest.kt b/lib/src/test/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateRequestTurnDetectionTest.kt
new file mode 100644
index 00000000..ad8e72e7
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateRequestTurnDetectionTest.kt
@@ -0,0 +1,82 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class RealtimeTranscriptionSessionCreateRequestTurnDetectionTest :
+    ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // RealtimeTranscriptionSessionCreateRequestTurnDetection
+        // val modelInstance =
+        // RealtimeTranscriptionSessionCreateRequestTurnDetection()
+
+        // to test the property `type` - Type of turn detection.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `eagerness` - Used only for `semantic_vad` mode.
+        // The eagerness of the model to respond. `low` will wait longer for the
+        // user to continue speaking, `high` will respond more quickly. `auto`
+        // is the default and is equivalent to `medium`.
+        should("test eagerness") {
+            // uncomment below to test the property
+            // modelInstance.eagerness shouldBe ("TODO")
+        }
+
+        // to test the property `threshold` - Used only for `server_vad` mode.
+        // Activation threshold for VAD (0.0 to 1.0), this defaults to 0.5. A
+        // higher threshold will require louder audio to activate the model, and
+        //  thus might perform better in noisy environments.
+        should("test threshold") {
+            // uncomment below to test the property
+            // modelInstance.threshold shouldBe ("TODO")
+        }
+
+        // to test the property `prefixPaddingMs` - Used only for `server_vad`
+        // mode. Amount of audio to include before the VAD detected speech (in
+        // milliseconds). Defaults to 300ms.
+        should("test prefixPaddingMs") {
+            // uncomment below to test the property
+            // modelInstance.prefixPaddingMs shouldBe ("TODO")
+        }
+
+        // to test the property `silenceDurationMs` - Used only for `server_vad`
+        // mode. Duration of silence to detect speech stop (in milliseconds).
+        // Defaults  to 500ms. With shorter values the model will respond more
+        // quickly,  but may jump in on short pauses from the user.
+        should("test silenceDurationMs") {
+            // uncomment below to test the property
+            // modelInstance.silenceDurationMs shouldBe ("TODO")
+        }
+
+        // to test the property `createResponse` - Whether or not to
+        // automatically generate a response when a VAD stop event occurs. Not
+        // available for transcription sessions.
+        should("test createResponse") {
+            // uncomment below to test the property
+            // modelInstance.createResponse shouldBe ("TODO")
+        }
+
+        // to test the property `interruptResponse` - Whether or not to
+        // automatically interrupt any ongoing response with output to the
+        // default conversation (i.e. `conversation` of `auto`) when a VAD start
+        // event occurs. Not available for transcription sessions.
+        should("test interruptResponse") {
+            // uncomment below to test the property
+            // modelInstance.interruptResponse shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateResponseClientSecretTest.kt b/lib/src/test/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateResponseClientSecretTest.kt
new file mode 100644
index 00000000..e076267b
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateResponseClientSecretTest.kt
@@ -0,0 +1,40 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class RealtimeTranscriptionSessionCreateResponseClientSecretTest :
+    ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // RealtimeTranscriptionSessionCreateResponseClientSecret
+        // val modelInstance =
+        // RealtimeTranscriptionSessionCreateResponseClientSecret()
+
+        // to test the property ``value`` - Ephemeral key usable in client
+        // environments to authenticate connections to the Realtime API. Use
+        // this in client-side environments rather than a standard API token,
+        // which should only be used server-side.
+        should("test `value`") {
+            // uncomment below to test the property
+            // modelInstance.`value` shouldBe ("TODO")
+        }
+
+        // to test the property `expiresAt` - Timestamp for when the token
+        // expires. Currently, all tokens expire after one minute.
+        should("test expiresAt") {
+            // uncomment below to test the property
+            // modelInstance.expiresAt shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/RealtimeSessionCreateRequestInputAudioTranscriptionTest.kt b/lib/src/test/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateResponseInputAudioTranscriptionTest.kt
similarity index 80%
rename from lib/src/test/kotlin/com/openai/models/RealtimeSessionCreateRequestInputAudioTranscriptionTest.kt
rename to lib/src/test/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateResponseInputAudioTranscriptionTest.kt
index cf7b11ce..b37ba800 100644
--- a/lib/src/test/kotlin/com/openai/models/RealtimeSessionCreateRequestInputAudioTranscriptionTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateResponseInputAudioTranscriptionTest.kt
@@ -13,15 +13,16 @@ package com.openai.models
 
 import io.kotlintest.specs.ShouldSpec
 
-class RealtimeSessionCreateRequestInputAudioTranscriptionTest : ShouldSpec() {
+class RealtimeTranscriptionSessionCreateResponseInputAudioTranscriptionTest :
+    ShouldSpec() {
     init {
         // uncomment below to create an instance of
-        // RealtimeSessionCreateRequestInputAudioTranscription
+        // RealtimeTranscriptionSessionCreateResponseInputAudioTranscription
         // val modelInstance =
-        // RealtimeSessionCreateRequestInputAudioTranscription()
+        // RealtimeTranscriptionSessionCreateResponseInputAudioTranscription()
 
-        // to test the property `model` - The model to use for transcription,
-        // `whisper-1` is the only currently  supported model.
+        // to test the property `model` - The model to use for transcription.
+        // Can be `gpt-4o-transcribe`, `gpt-4o-mini-transcribe`, or `whisper-1`.
         should("test model") {
             // uncomment below to test the property
             // modelInstance.model shouldBe ("TODO")
diff --git a/lib/src/test/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateResponseTest.kt b/lib/src/test/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateResponseTest.kt
new file mode 100644
index 00000000..83c92b31
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/RealtimeTranscriptionSessionCreateResponseTest.kt
@@ -0,0 +1,54 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class RealtimeTranscriptionSessionCreateResponseTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // RealtimeTranscriptionSessionCreateResponse
+        // val modelInstance = RealtimeTranscriptionSessionCreateResponse()
+
+        // to test the property `clientSecret`
+        should("test clientSecret") {
+            // uncomment below to test the property
+            // modelInstance.clientSecret shouldBe ("TODO")
+        }
+
+        // to test the property `modalities` - The set of modalities the model
+        // can respond with. To disable audio, set this to [\"text\"].
+        should("test modalities") {
+            // uncomment below to test the property
+            // modelInstance.modalities shouldBe ("TODO")
+        }
+
+        // to test the property `inputAudioFormat` - The format of input audio.
+        // Options are `pcm16`, `g711_ulaw`, or `g711_alaw`.
+        should("test inputAudioFormat") {
+            // uncomment below to test the property
+            // modelInstance.inputAudioFormat shouldBe ("TODO")
+        }
+
+        // to test the property `inputAudioTranscription`
+        should("test inputAudioTranscription") {
+            // uncomment below to test the property
+            // modelInstance.inputAudioTranscription shouldBe ("TODO")
+        }
+
+        // to test the property `turnDetection`
+        should("test turnDetection") {
+            // uncomment below to test the property
+            // modelInstance.turnDetection shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ReasoningItemSummaryInnerTest.kt b/lib/src/test/kotlin/com/openai/models/ReasoningItemSummaryInnerTest.kt
new file mode 100644
index 00000000..67a83ee1
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ReasoningItemSummaryInnerTest.kt
@@ -0,0 +1,35 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ReasoningItemSummaryInnerTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ReasoningItemSummaryInner
+        // val modelInstance = ReasoningItemSummaryInner()
+
+        // to test the property `type` - The type of the object. Always
+        // `summary_text`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `text` - A short summary of the reasoning used
+        // by the model when generating the response.
+        should("test text") {
+            // uncomment below to test the property
+            // modelInstance.text shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ReasoningItemTest.kt b/lib/src/test/kotlin/com/openai/models/ReasoningItemTest.kt
new file mode 100644
index 00000000..8f0b2483
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ReasoningItemTest.kt
@@ -0,0 +1,49 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ReasoningItemTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ReasoningItem
+        // val modelInstance = ReasoningItem()
+
+        // to test the property `type` - The type of the object. Always
+        // `reasoning`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `id` - The unique identifier of the reasoning
+        // content.
+        should("test id") {
+            // uncomment below to test the property
+            // modelInstance.id shouldBe ("TODO")
+        }
+
+        // to test the property `summary` - Reasoning text contents.
+        should("test summary") {
+            // uncomment below to test the property
+            // modelInstance.summary shouldBe ("TODO")
+        }
+
+        // to test the property `status` - The status of the item. One of
+        // `in_progress`, `completed`, or `incomplete`. Populated when items are
+        // returned via API.
+        should("test status") {
+            // uncomment below to test the property
+            // modelInstance.status shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ReasoningTest.kt b/lib/src/test/kotlin/com/openai/models/ReasoningTest.kt
new file mode 100644
index 00000000..1c14928f
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ReasoningTest.kt
@@ -0,0 +1,36 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ReasoningTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of Reasoning
+        // val modelInstance = Reasoning()
+
+        // to test the property `effort`
+        should("test effort") {
+            // uncomment below to test the property
+            // modelInstance.effort shouldBe ("TODO")
+        }
+
+        // to test the property `generateSummary` - **computer_use_preview
+        // only**  A summary of the reasoning performed by the model. This can
+        // be useful for debugging and understanding the model's reasoning
+        // process. One of `concise` or `detailed`.
+        should("test generateSummary") {
+            // uncomment below to test the property
+            // modelInstance.generateSummary shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/RefusalTest.kt b/lib/src/test/kotlin/com/openai/models/RefusalTest.kt
new file mode 100644
index 00000000..19eb206f
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/RefusalTest.kt
@@ -0,0 +1,35 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class RefusalTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of Refusal
+        // val modelInstance = Refusal()
+
+        // to test the property `type` - The type of the refusal. Always
+        // `refusal`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `refusal` - The refusal explanationfrom the
+        // model.
+        should("test refusal") {
+            // uncomment below to test the property
+            // modelInstance.refusal shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseAllOfIncompleteDetailsTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseAllOfIncompleteDetailsTest.kt
new file mode 100644
index 00000000..dca3ade3
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseAllOfIncompleteDetailsTest.kt
@@ -0,0 +1,29 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseAllOfIncompleteDetailsTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // ResponseAllOfIncompleteDetails
+        // val modelInstance = ResponseAllOfIncompleteDetails()
+
+        // to test the property `reason` - The reason why the response is
+        // incomplete.
+        should("test reason") {
+            // uncomment below to test the property
+            // modelInstance.reason shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseAudioDeltaEventTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseAudioDeltaEventTest.kt
new file mode 100644
index 00000000..94439602
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseAudioDeltaEventTest.kt
@@ -0,0 +1,35 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseAudioDeltaEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ResponseAudioDeltaEvent
+        // val modelInstance = ResponseAudioDeltaEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `response.audio.delta`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `delta` - A chunk of Base64 encoded response
+        // audio bytes.
+        should("test delta") {
+            // uncomment below to test the property
+            // modelInstance.delta shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseAudioDoneEventTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseAudioDoneEventTest.kt
new file mode 100644
index 00000000..fd78411a
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseAudioDoneEventTest.kt
@@ -0,0 +1,28 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseAudioDoneEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ResponseAudioDoneEvent
+        // val modelInstance = ResponseAudioDoneEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `response.audio.done`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseAudioTranscriptDeltaEventTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseAudioTranscriptDeltaEventTest.kt
new file mode 100644
index 00000000..5bc3ecc5
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseAudioTranscriptDeltaEventTest.kt
@@ -0,0 +1,36 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseAudioTranscriptDeltaEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // ResponseAudioTranscriptDeltaEvent
+        // val modelInstance = ResponseAudioTranscriptDeltaEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `response.audio.transcript.delta`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `delta` - The partial transcript of the audio
+        // response.
+        should("test delta") {
+            // uncomment below to test the property
+            // modelInstance.delta shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseAudioTranscriptDoneEventTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseAudioTranscriptDoneEventTest.kt
new file mode 100644
index 00000000..9ec78c06
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseAudioTranscriptDoneEventTest.kt
@@ -0,0 +1,29 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseAudioTranscriptDoneEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // ResponseAudioTranscriptDoneEvent
+        // val modelInstance = ResponseAudioTranscriptDoneEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `response.audio.transcript.done`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseCodeInterpreterCallCodeDeltaEventTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseCodeInterpreterCallCodeDeltaEventTest.kt
new file mode 100644
index 00000000..8470ad29
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseCodeInterpreterCallCodeDeltaEventTest.kt
@@ -0,0 +1,43 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseCodeInterpreterCallCodeDeltaEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // ResponseCodeInterpreterCallCodeDeltaEvent
+        // val modelInstance = ResponseCodeInterpreterCallCodeDeltaEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `response.code_interpreter_call.code.delta`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `outputIndex` - The index of the output item
+        // that the code interpreter call is in progress.
+        should("test outputIndex") {
+            // uncomment below to test the property
+            // modelInstance.outputIndex shouldBe ("TODO")
+        }
+
+        // to test the property `delta` - The partial code snippet added by the
+        // code interpreter.
+        should("test delta") {
+            // uncomment below to test the property
+            // modelInstance.delta shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseCodeInterpreterCallCodeDoneEventTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseCodeInterpreterCallCodeDoneEventTest.kt
new file mode 100644
index 00000000..3ceb6f32
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseCodeInterpreterCallCodeDoneEventTest.kt
@@ -0,0 +1,43 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseCodeInterpreterCallCodeDoneEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // ResponseCodeInterpreterCallCodeDoneEvent
+        // val modelInstance = ResponseCodeInterpreterCallCodeDoneEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `response.code_interpreter_call.code.done`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `outputIndex` - The index of the output item
+        // that the code interpreter call is in progress.
+        should("test outputIndex") {
+            // uncomment below to test the property
+            // modelInstance.outputIndex shouldBe ("TODO")
+        }
+
+        // to test the property `code` - The final code snippet output by the
+        // code interpreter.
+        should("test code") {
+            // uncomment below to test the property
+            // modelInstance.code shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseCodeInterpreterCallCompletedEventTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseCodeInterpreterCallCompletedEventTest.kt
new file mode 100644
index 00000000..6a8fb410
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseCodeInterpreterCallCompletedEventTest.kt
@@ -0,0 +1,42 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseCodeInterpreterCallCompletedEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // ResponseCodeInterpreterCallCompletedEvent
+        // val modelInstance = ResponseCodeInterpreterCallCompletedEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `response.code_interpreter_call.completed`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `outputIndex` - The index of the output item
+        // that the code interpreter call is in progress.
+        should("test outputIndex") {
+            // uncomment below to test the property
+            // modelInstance.outputIndex shouldBe ("TODO")
+        }
+
+        // to test the property `codeInterpreterCall`
+        should("test codeInterpreterCall") {
+            // uncomment below to test the property
+            // modelInstance.codeInterpreterCall shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseCodeInterpreterCallInProgressEventTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseCodeInterpreterCallInProgressEventTest.kt
new file mode 100644
index 00000000..d1e14afa
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseCodeInterpreterCallInProgressEventTest.kt
@@ -0,0 +1,42 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseCodeInterpreterCallInProgressEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // ResponseCodeInterpreterCallInProgressEvent
+        // val modelInstance = ResponseCodeInterpreterCallInProgressEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `response.code_interpreter_call.in_progress`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `outputIndex` - The index of the output item
+        // that the code interpreter call is in progress.
+        should("test outputIndex") {
+            // uncomment below to test the property
+            // modelInstance.outputIndex shouldBe ("TODO")
+        }
+
+        // to test the property `codeInterpreterCall`
+        should("test codeInterpreterCall") {
+            // uncomment below to test the property
+            // modelInstance.codeInterpreterCall shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseCodeInterpreterCallInterpretingEventTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseCodeInterpreterCallInterpretingEventTest.kt
new file mode 100644
index 00000000..712dd8dc
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseCodeInterpreterCallInterpretingEventTest.kt
@@ -0,0 +1,42 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseCodeInterpreterCallInterpretingEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // ResponseCodeInterpreterCallInterpretingEvent
+        // val modelInstance = ResponseCodeInterpreterCallInterpretingEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `response.code_interpreter_call.interpreting`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `outputIndex` - The index of the output item
+        // that the code interpreter call is in progress.
+        should("test outputIndex") {
+            // uncomment below to test the property
+            // modelInstance.outputIndex shouldBe ("TODO")
+        }
+
+        // to test the property `codeInterpreterCall`
+        should("test codeInterpreterCall") {
+            // uncomment below to test the property
+            // modelInstance.codeInterpreterCall shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseCompletedEventTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseCompletedEventTest.kt
new file mode 100644
index 00000000..5bb2cdce
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseCompletedEventTest.kt
@@ -0,0 +1,34 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseCompletedEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ResponseCompletedEvent
+        // val modelInstance = ResponseCompletedEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `response.completed`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `response`
+        should("test response") {
+            // uncomment below to test the property
+            // modelInstance.response shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseContentPartAddedEventTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseContentPartAddedEventTest.kt
new file mode 100644
index 00000000..0bb46148
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseContentPartAddedEventTest.kt
@@ -0,0 +1,56 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseContentPartAddedEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // ResponseContentPartAddedEvent
+        // val modelInstance = ResponseContentPartAddedEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `response.content_part.added`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `itemId` - The ID of the output item that the
+        // content part was added to.
+        should("test itemId") {
+            // uncomment below to test the property
+            // modelInstance.itemId shouldBe ("TODO")
+        }
+
+        // to test the property `outputIndex` - The index of the output item
+        // that the content part was added to.
+        should("test outputIndex") {
+            // uncomment below to test the property
+            // modelInstance.outputIndex shouldBe ("TODO")
+        }
+
+        // to test the property `contentIndex` - The index of the content part
+        // that was added.
+        should("test contentIndex") {
+            // uncomment below to test the property
+            // modelInstance.contentIndex shouldBe ("TODO")
+        }
+
+        // to test the property `part`
+        should("test part") {
+            // uncomment below to test the property
+            // modelInstance.part shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseContentPartDoneEventTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseContentPartDoneEventTest.kt
new file mode 100644
index 00000000..bb8eade1
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseContentPartDoneEventTest.kt
@@ -0,0 +1,55 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseContentPartDoneEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ResponseContentPartDoneEvent
+        // val modelInstance = ResponseContentPartDoneEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `response.content_part.done`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `itemId` - The ID of the output item that the
+        // content part was added to.
+        should("test itemId") {
+            // uncomment below to test the property
+            // modelInstance.itemId shouldBe ("TODO")
+        }
+
+        // to test the property `outputIndex` - The index of the output item
+        // that the content part was added to.
+        should("test outputIndex") {
+            // uncomment below to test the property
+            // modelInstance.outputIndex shouldBe ("TODO")
+        }
+
+        // to test the property `contentIndex` - The index of the content part
+        // that is done.
+        should("test contentIndex") {
+            // uncomment below to test the property
+            // modelInstance.contentIndex shouldBe ("TODO")
+        }
+
+        // to test the property `part`
+        should("test part") {
+            // uncomment below to test the property
+            // modelInstance.part shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseCreatedEventTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseCreatedEventTest.kt
new file mode 100644
index 00000000..4e4f182a
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseCreatedEventTest.kt
@@ -0,0 +1,34 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseCreatedEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ResponseCreatedEvent
+        // val modelInstance = ResponseCreatedEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `response.created`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `response`
+        should("test response") {
+            // uncomment below to test the property
+            // modelInstance.response shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseErrorCodeTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseErrorCodeTest.kt
new file mode 100644
index 00000000..db6760d9
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseErrorCodeTest.kt
@@ -0,0 +1,22 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseErrorCodeTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ResponseErrorCode
+        // val modelInstance = ResponseErrorCode()
+
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseErrorEventTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseErrorEventTest.kt
new file mode 100644
index 00000000..571f2eb5
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseErrorEventTest.kt
@@ -0,0 +1,45 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseErrorEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ResponseErrorEvent
+        // val modelInstance = ResponseErrorEvent()
+
+        // to test the property `type` - The type of the event. Always `error`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `code` - The error code.
+        should("test code") {
+            // uncomment below to test the property
+            // modelInstance.code shouldBe ("TODO")
+        }
+
+        // to test the property `message` - The error message.
+        should("test message") {
+            // uncomment below to test the property
+            // modelInstance.message shouldBe ("TODO")
+        }
+
+        // to test the property ``param`` - The error parameter.
+        should("test `param`") {
+            // uncomment below to test the property
+            // modelInstance.`param` shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseErrorTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseErrorTest.kt
new file mode 100644
index 00000000..806faf94
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseErrorTest.kt
@@ -0,0 +1,34 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseErrorTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ResponseError
+        // val modelInstance = ResponseError()
+
+        // to test the property `code`
+        should("test code") {
+            // uncomment below to test the property
+            // modelInstance.code shouldBe ("TODO")
+        }
+
+        // to test the property `message` - A human-readable description of the
+        // error.
+        should("test message") {
+            // uncomment below to test the property
+            // modelInstance.message shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseFailedEventTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseFailedEventTest.kt
new file mode 100644
index 00000000..b4121fb7
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseFailedEventTest.kt
@@ -0,0 +1,34 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseFailedEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ResponseFailedEvent
+        // val modelInstance = ResponseFailedEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `response.failed`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `response`
+        should("test response") {
+            // uncomment below to test the property
+            // modelInstance.response shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseFileSearchCallCompletedEventTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseFileSearchCallCompletedEventTest.kt
new file mode 100644
index 00000000..1270de38
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseFileSearchCallCompletedEventTest.kt
@@ -0,0 +1,43 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseFileSearchCallCompletedEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // ResponseFileSearchCallCompletedEvent
+        // val modelInstance = ResponseFileSearchCallCompletedEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `response.file_search_call.completed`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `outputIndex` - The index of the output item
+        // that the file search call is initiated.
+        should("test outputIndex") {
+            // uncomment below to test the property
+            // modelInstance.outputIndex shouldBe ("TODO")
+        }
+
+        // to test the property `itemId` - The ID of the output item that the
+        // file search call is initiated.
+        should("test itemId") {
+            // uncomment below to test the property
+            // modelInstance.itemId shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseFileSearchCallInProgressEventTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseFileSearchCallInProgressEventTest.kt
new file mode 100644
index 00000000..4d909eef
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseFileSearchCallInProgressEventTest.kt
@@ -0,0 +1,43 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseFileSearchCallInProgressEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // ResponseFileSearchCallInProgressEvent
+        // val modelInstance = ResponseFileSearchCallInProgressEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `response.file_search_call.in_progress`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `outputIndex` - The index of the output item
+        // that the file search call is initiated.
+        should("test outputIndex") {
+            // uncomment below to test the property
+            // modelInstance.outputIndex shouldBe ("TODO")
+        }
+
+        // to test the property `itemId` - The ID of the output item that the
+        // file search call is initiated.
+        should("test itemId") {
+            // uncomment below to test the property
+            // modelInstance.itemId shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseFileSearchCallSearchingEventTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseFileSearchCallSearchingEventTest.kt
new file mode 100644
index 00000000..b7415ff1
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseFileSearchCallSearchingEventTest.kt
@@ -0,0 +1,43 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseFileSearchCallSearchingEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // ResponseFileSearchCallSearchingEvent
+        // val modelInstance = ResponseFileSearchCallSearchingEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `response.file_search_call.searching`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `outputIndex` - The index of the output item
+        // that the file search call is searching.
+        should("test outputIndex") {
+            // uncomment below to test the property
+            // modelInstance.outputIndex shouldBe ("TODO")
+        }
+
+        // to test the property `itemId` - The ID of the output item that the
+        // file search call is initiated.
+        should("test itemId") {
+            // uncomment below to test the property
+            // modelInstance.itemId shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseFormatJsonObjectTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseFormatJsonObjectTest.kt
index a378f286..b8b26fc9 100644
--- a/lib/src/test/kotlin/com/openai/models/ResponseFormatJsonObjectTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/ResponseFormatJsonObjectTest.kt
@@ -19,7 +19,7 @@ class ResponseFormatJsonObjectTest : ShouldSpec() {
         // val modelInstance = ResponseFormatJsonObject()
 
         // to test the property `type` - The type of response format being
-        // defined: `json_object`
+        // defined. Always `json_object`.
         should("test type") {
             // uncomment below to test the property
             // modelInstance.type shouldBe ("TODO")
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseFormatJsonSchemaTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseFormatJsonSchemaTest.kt
index 8dfbd15c..83767de6 100644
--- a/lib/src/test/kotlin/com/openai/models/ResponseFormatJsonSchemaTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/ResponseFormatJsonSchemaTest.kt
@@ -19,7 +19,7 @@ class ResponseFormatJsonSchemaTest : ShouldSpec() {
         // val modelInstance = ResponseFormatJsonSchema()
 
         // to test the property `type` - The type of response format being
-        // defined: `json_schema`
+        // defined. Always `json_schema`.
         should("test type") {
             // uncomment below to test the property
             // modelInstance.type shouldBe ("TODO")
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseFormatTextTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseFormatTextTest.kt
index 0a0ece7e..fe49bbd2 100644
--- a/lib/src/test/kotlin/com/openai/models/ResponseFormatTextTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/ResponseFormatTextTest.kt
@@ -19,7 +19,7 @@ class ResponseFormatTextTest : ShouldSpec() {
         // val modelInstance = ResponseFormatText()
 
         // to test the property `type` - The type of response format being
-        // defined: `text`
+        // defined. Always `text`.
         should("test type") {
             // uncomment below to test the property
             // modelInstance.type shouldBe ("TODO")
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseFunctionCallArgumentsDeltaEventTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseFunctionCallArgumentsDeltaEventTest.kt
new file mode 100644
index 00000000..99238a72
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseFunctionCallArgumentsDeltaEventTest.kt
@@ -0,0 +1,50 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseFunctionCallArgumentsDeltaEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // ResponseFunctionCallArgumentsDeltaEvent
+        // val modelInstance = ResponseFunctionCallArgumentsDeltaEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `response.function_call_arguments.delta`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `itemId` - The ID of the output item that the
+        // function-call arguments delta is added to.
+        should("test itemId") {
+            // uncomment below to test the property
+            // modelInstance.itemId shouldBe ("TODO")
+        }
+
+        // to test the property `outputIndex` - The index of the output item
+        // that the function-call arguments delta is added to.
+        should("test outputIndex") {
+            // uncomment below to test the property
+            // modelInstance.outputIndex shouldBe ("TODO")
+        }
+
+        // to test the property `delta` - The function-call arguments delta that
+        // is added.
+        should("test delta") {
+            // uncomment below to test the property
+            // modelInstance.delta shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseFunctionCallArgumentsDoneEventTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseFunctionCallArgumentsDoneEventTest.kt
new file mode 100644
index 00000000..6c141f7d
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseFunctionCallArgumentsDoneEventTest.kt
@@ -0,0 +1,46 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseFunctionCallArgumentsDoneEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // ResponseFunctionCallArgumentsDoneEvent
+        // val modelInstance = ResponseFunctionCallArgumentsDoneEvent()
+
+        // to test the property `type`
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `itemId` - The ID of the item.
+        should("test itemId") {
+            // uncomment below to test the property
+            // modelInstance.itemId shouldBe ("TODO")
+        }
+
+        // to test the property `outputIndex` - The index of the output item.
+        should("test outputIndex") {
+            // uncomment below to test the property
+            // modelInstance.outputIndex shouldBe ("TODO")
+        }
+
+        // to test the property `arguments` - The function-call arguments.
+        should("test arguments") {
+            // uncomment below to test the property
+            // modelInstance.arguments shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseInProgressEventTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseInProgressEventTest.kt
new file mode 100644
index 00000000..2885359c
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseInProgressEventTest.kt
@@ -0,0 +1,34 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseInProgressEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ResponseInProgressEvent
+        // val modelInstance = ResponseInProgressEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `response.in_progress`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `response`
+        should("test response") {
+            // uncomment below to test the property
+            // modelInstance.response shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseIncompleteEventTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseIncompleteEventTest.kt
new file mode 100644
index 00000000..d55e774b
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseIncompleteEventTest.kt
@@ -0,0 +1,34 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseIncompleteEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ResponseIncompleteEvent
+        // val modelInstance = ResponseIncompleteEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `response.incomplete`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `response`
+        should("test response") {
+            // uncomment below to test the property
+            // modelInstance.response shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseItemListTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseItemListTest.kt
new file mode 100644
index 00000000..b1eac106
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseItemListTest.kt
@@ -0,0 +1,55 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseItemListTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ResponseItemList
+        // val modelInstance = ResponseItemList()
+
+        // to test the property ``object`` - The type of object returned, must
+        // be `list`.
+        should("test `object`") {
+            // uncomment below to test the property
+            // modelInstance.`object` shouldBe ("TODO")
+        }
+
+        // to test the property ``data`` - A list of items used to generate this
+        // response.
+        should("test `data`") {
+            // uncomment below to test the property
+            // modelInstance.`data` shouldBe ("TODO")
+        }
+
+        // to test the property `hasMore` - Whether there are more items
+        // available.
+        should("test hasMore") {
+            // uncomment below to test the property
+            // modelInstance.hasMore shouldBe ("TODO")
+        }
+
+        // to test the property `firstId` - The ID of the first item in the
+        // list.
+        should("test firstId") {
+            // uncomment below to test the property
+            // modelInstance.firstId shouldBe ("TODO")
+        }
+
+        // to test the property `lastId` - The ID of the last item in the list.
+        should("test lastId") {
+            // uncomment below to test the property
+            // modelInstance.lastId shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseOutputItemAddedEventTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseOutputItemAddedEventTest.kt
new file mode 100644
index 00000000..41699b7b
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseOutputItemAddedEventTest.kt
@@ -0,0 +1,41 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseOutputItemAddedEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ResponseOutputItemAddedEvent
+        // val modelInstance = ResponseOutputItemAddedEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `response.output_item.added`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `outputIndex` - The index of the output item
+        // that was added.
+        should("test outputIndex") {
+            // uncomment below to test the property
+            // modelInstance.outputIndex shouldBe ("TODO")
+        }
+
+        // to test the property `item`
+        should("test item") {
+            // uncomment below to test the property
+            // modelInstance.item shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseOutputItemDoneEventTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseOutputItemDoneEventTest.kt
new file mode 100644
index 00000000..a267de05
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseOutputItemDoneEventTest.kt
@@ -0,0 +1,41 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseOutputItemDoneEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ResponseOutputItemDoneEvent
+        // val modelInstance = ResponseOutputItemDoneEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `response.output_item.done`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `outputIndex` - The index of the output item
+        // that was marked done.
+        should("test outputIndex") {
+            // uncomment below to test the property
+            // modelInstance.outputIndex shouldBe ("TODO")
+        }
+
+        // to test the property `item`
+        should("test item") {
+            // uncomment below to test the property
+            // modelInstance.item shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponsePropertiesTest.kt b/lib/src/test/kotlin/com/openai/models/ResponsePropertiesTest.kt
new file mode 100644
index 00000000..599ff12b
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponsePropertiesTest.kt
@@ -0,0 +1,101 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponsePropertiesTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ResponseProperties
+        // val modelInstance = ResponseProperties()
+
+        // to test the property `previousResponseId` - The unique ID of the
+        // previous response to the model. Use this to create multi-turn
+        // conversations. Learn more about  [conversation
+        // state](/docs/guides/conversation-state).
+        should("test previousResponseId") {
+            // uncomment below to test the property
+            // modelInstance.previousResponseId shouldBe ("TODO")
+        }
+
+        // to test the property `model`
+        should("test model") {
+            // uncomment below to test the property
+            // modelInstance.model shouldBe ("TODO")
+        }
+
+        // to test the property `reasoning`
+        should("test reasoning") {
+            // uncomment below to test the property
+            // modelInstance.reasoning shouldBe ("TODO")
+        }
+
+        // to test the property `maxOutputTokens` - An upper bound for the
+        // number of tokens that can be generated for a response, including
+        // visible output tokens and [reasoning tokens](/docs/guides/reasoning).
+        should("test maxOutputTokens") {
+            // uncomment below to test the property
+            // modelInstance.maxOutputTokens shouldBe ("TODO")
+        }
+
+        // to test the property `instructions` - Inserts a system (or developer)
+        // message as the first item in the model's context.  When using along
+        // with `previous_response_id`, the instructions from a previous
+        // response will be not be carried over to the next response. This makes
+        // it simple to swap out system (or developer) messages in new
+        // responses.
+        should("test instructions") {
+            // uncomment below to test the property
+            // modelInstance.instructions shouldBe ("TODO")
+        }
+
+        // to test the property `text`
+        should("test text") {
+            // uncomment below to test the property
+            // modelInstance.text shouldBe ("TODO")
+        }
+
+        // to test the property `tools` - An array of tools the model may call
+        // while generating a response. You  can specify which tool to use by
+        // setting the `tool_choice` parameter.  The two categories of tools you
+        // can provide the model are:  - **Built-in tools**: Tools that are
+        // provided by OpenAI that extend the   model's capabilities, like [web
+        // search](/docs/guides/tools-web-search)   or [file
+        // search](/docs/guides/tools-file-search). Learn more about   [built-in
+        // tools](/docs/guides/tools). - **Function calls (custom tools)**:
+        // Functions that are defined by you,   enabling the model to call your
+        // own code. Learn more about   [function
+        // calling](/docs/guides/function-calling).
+        should("test tools") {
+            // uncomment below to test the property
+            // modelInstance.tools shouldBe ("TODO")
+        }
+
+        // to test the property `toolChoice`
+        should("test toolChoice") {
+            // uncomment below to test the property
+            // modelInstance.toolChoice shouldBe ("TODO")
+        }
+
+        // to test the property `truncation` - The truncation strategy to use
+        // for the model response. - `auto`: If the context of this response and
+        // previous ones exceeds   the model's context window size, the model
+        // will truncate the    response to fit the context window by dropping
+        // input items in the   middle of the conversation.  - `disabled`
+        // (default): If a model response will exceed the context window    size
+        // for a model, the request will fail with a 400 error.
+        should("test truncation") {
+            // uncomment below to test the property
+            // modelInstance.truncation shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponsePropertiesTextTest.kt b/lib/src/test/kotlin/com/openai/models/ResponsePropertiesTextTest.kt
new file mode 100644
index 00000000..6a6fe6ac
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponsePropertiesTextTest.kt
@@ -0,0 +1,27 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponsePropertiesTextTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ResponsePropertiesText
+        // val modelInstance = ResponsePropertiesText()
+
+        // to test the property `format`
+        should("test format") {
+            // uncomment below to test the property
+            // modelInstance.format shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponsePropertiesToolChoiceTest.kt b/lib/src/test/kotlin/com/openai/models/ResponsePropertiesToolChoiceTest.kt
new file mode 100644
index 00000000..dd078864
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponsePropertiesToolChoiceTest.kt
@@ -0,0 +1,36 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponsePropertiesToolChoiceTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ResponsePropertiesToolChoice
+        // val modelInstance = ResponsePropertiesToolChoice()
+
+        // to test the property `type` - The type of hosted tool the model
+        // should to use. Learn more about [built-in tools](/docs/guides/tools).
+        //  Allowed values are: - `file_search` - `web_search_preview` -
+        // `computer_use_preview`
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `name` - The name of the function to call.
+        should("test name") {
+            // uncomment below to test the property
+            // modelInstance.name shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseRefusalDeltaEventTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseRefusalDeltaEventTest.kt
new file mode 100644
index 00000000..c2588957
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseRefusalDeltaEventTest.kt
@@ -0,0 +1,55 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseRefusalDeltaEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ResponseRefusalDeltaEvent
+        // val modelInstance = ResponseRefusalDeltaEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `response.refusal.delta`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `itemId` - The ID of the output item that the
+        // refusal text is added to.
+        should("test itemId") {
+            // uncomment below to test the property
+            // modelInstance.itemId shouldBe ("TODO")
+        }
+
+        // to test the property `outputIndex` - The index of the output item
+        // that the refusal text is added to.
+        should("test outputIndex") {
+            // uncomment below to test the property
+            // modelInstance.outputIndex shouldBe ("TODO")
+        }
+
+        // to test the property `contentIndex` - The index of the content part
+        // that the refusal text is added to.
+        should("test contentIndex") {
+            // uncomment below to test the property
+            // modelInstance.contentIndex shouldBe ("TODO")
+        }
+
+        // to test the property `delta` - The refusal text that is added.
+        should("test delta") {
+            // uncomment below to test the property
+            // modelInstance.delta shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseRefusalDoneEventTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseRefusalDoneEventTest.kt
new file mode 100644
index 00000000..ca81b19a
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseRefusalDoneEventTest.kt
@@ -0,0 +1,55 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseRefusalDoneEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ResponseRefusalDoneEvent
+        // val modelInstance = ResponseRefusalDoneEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `response.refusal.done`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `itemId` - The ID of the output item that the
+        // refusal text is finalized.
+        should("test itemId") {
+            // uncomment below to test the property
+            // modelInstance.itemId shouldBe ("TODO")
+        }
+
+        // to test the property `outputIndex` - The index of the output item
+        // that the refusal text is finalized.
+        should("test outputIndex") {
+            // uncomment below to test the property
+            // modelInstance.outputIndex shouldBe ("TODO")
+        }
+
+        // to test the property `contentIndex` - The index of the content part
+        // that the refusal text is finalized.
+        should("test contentIndex") {
+            // uncomment below to test the property
+            // modelInstance.contentIndex shouldBe ("TODO")
+        }
+
+        // to test the property `refusal` - The refusal text that is finalized.
+        should("test refusal") {
+            // uncomment below to test the property
+            // modelInstance.refusal shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseStreamEventTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseStreamEventTest.kt
new file mode 100644
index 00000000..dd80d737
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseStreamEventTest.kt
@@ -0,0 +1,128 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseStreamEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ResponseStreamEvent
+        // val modelInstance = ResponseStreamEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `response.audio.delta`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `delta` - The text delta that was added.
+        should("test delta") {
+            // uncomment below to test the property
+            // modelInstance.delta shouldBe ("TODO")
+        }
+
+        // to test the property `outputIndex` - The index of the output item
+        // that the web search call is associated with.
+        should("test outputIndex") {
+            // uncomment below to test the property
+            // modelInstance.outputIndex shouldBe ("TODO")
+        }
+
+        // to test the property `code` - The error code.
+        should("test code") {
+            // uncomment below to test the property
+            // modelInstance.code shouldBe ("TODO")
+        }
+
+        // to test the property `codeInterpreterCall`
+        should("test codeInterpreterCall") {
+            // uncomment below to test the property
+            // modelInstance.codeInterpreterCall shouldBe ("TODO")
+        }
+
+        // to test the property `response`
+        should("test response") {
+            // uncomment below to test the property
+            // modelInstance.response shouldBe ("TODO")
+        }
+
+        // to test the property `itemId` - Unique ID for the output item
+        // associated with the web search call.
+        should("test itemId") {
+            // uncomment below to test the property
+            // modelInstance.itemId shouldBe ("TODO")
+        }
+
+        // to test the property `contentIndex` - The index of the content part
+        // that the text content is finalized.
+        should("test contentIndex") {
+            // uncomment below to test the property
+            // modelInstance.contentIndex shouldBe ("TODO")
+        }
+
+        // to test the property `part`
+        should("test part") {
+            // uncomment below to test the property
+            // modelInstance.part shouldBe ("TODO")
+        }
+
+        // to test the property `message` - The error message.
+        should("test message") {
+            // uncomment below to test the property
+            // modelInstance.message shouldBe ("TODO")
+        }
+
+        // to test the property ``param`` - The error parameter.
+        should("test `param`") {
+            // uncomment below to test the property
+            // modelInstance.`param` shouldBe ("TODO")
+        }
+
+        // to test the property `arguments` - The function-call arguments.
+        should("test arguments") {
+            // uncomment below to test the property
+            // modelInstance.arguments shouldBe ("TODO")
+        }
+
+        // to test the property `item`
+        should("test item") {
+            // uncomment below to test the property
+            // modelInstance.item shouldBe ("TODO")
+        }
+
+        // to test the property `refusal` - The refusal text that is finalized.
+        should("test refusal") {
+            // uncomment below to test the property
+            // modelInstance.refusal shouldBe ("TODO")
+        }
+
+        // to test the property `annotationIndex` - The index of the annotation
+        // that was added.
+        should("test annotationIndex") {
+            // uncomment below to test the property
+            // modelInstance.annotationIndex shouldBe ("TODO")
+        }
+
+        // to test the property ``annotation``
+        should("test `annotation`") {
+            // uncomment below to test the property
+            // modelInstance.`annotation` shouldBe ("TODO")
+        }
+
+        // to test the property `text` - The text content that is finalized.
+        should("test text") {
+            // uncomment below to test the property
+            // modelInstance.text shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseTest.kt
new file mode 100644
index 00000000..4d45a7d2
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseTest.kt
@@ -0,0 +1,213 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of Response
+        // val modelInstance = Response()
+
+        // to test the property `metadata` - Set of 16 key-value pairs that can
+        // be attached to an object. This can be useful for storing additional
+        // information about the object in a structured format, and querying for
+        // objects via API or the dashboard.   Keys are strings with a maximum
+        // length of 64 characters. Values are strings with a maximum length of
+        // 512 characters.
+        should("test metadata") {
+            // uncomment below to test the property
+            // modelInstance.metadata shouldBe ("TODO")
+        }
+
+        // to test the property `temperature` - What sampling temperature to
+        // use, between 0 and 2. Higher values like 0.8 will make the output
+        // more random, while lower values like 0.2 will make it more focused
+        // and deterministic. We generally recommend altering this or `top_p`
+        // but not both.
+        should("test temperature") {
+            // uncomment below to test the property
+            // modelInstance.temperature shouldBe ("TODO")
+        }
+
+        // to test the property `topP` - An alternative to sampling with
+        // temperature, called nucleus sampling, where the model considers the
+        // results of the tokens with top_p probability mass. So 0.1 means only
+        // the tokens comprising the top 10% probability mass are considered.
+        // We generally recommend altering this or `temperature` but not both.
+        should("test topP") {
+            // uncomment below to test the property
+            // modelInstance.topP shouldBe ("TODO")
+        }
+
+        // to test the property `model`
+        should("test model") {
+            // uncomment below to test the property
+            // modelInstance.model shouldBe ("TODO")
+        }
+
+        // to test the property `instructions` - Inserts a system (or developer)
+        // message as the first item in the model's context.  When using along
+        // with `previous_response_id`, the instructions from a previous
+        // response will be not be carried over to the next response. This makes
+        // it simple to swap out system (or developer) messages in new
+        // responses.
+        should("test instructions") {
+            // uncomment below to test the property
+            // modelInstance.instructions shouldBe ("TODO")
+        }
+
+        // to test the property `tools` - An array of tools the model may call
+        // while generating a response. You  can specify which tool to use by
+        // setting the `tool_choice` parameter.  The two categories of tools you
+        // can provide the model are:  - **Built-in tools**: Tools that are
+        // provided by OpenAI that extend the   model's capabilities, like [web
+        // search](/docs/guides/tools-web-search)   or [file
+        // search](/docs/guides/tools-file-search). Learn more about   [built-in
+        // tools](/docs/guides/tools). - **Function calls (custom tools)**:
+        // Functions that are defined by you,   enabling the model to call your
+        // own code. Learn more about   [function
+        // calling](/docs/guides/function-calling).
+        should("test tools") {
+            // uncomment below to test the property
+            // modelInstance.tools shouldBe ("TODO")
+        }
+
+        // to test the property `toolChoice`
+        should("test toolChoice") {
+            // uncomment below to test the property
+            // modelInstance.toolChoice shouldBe ("TODO")
+        }
+
+        // to test the property `id` - Unique identifier for this Response.
+        should("test id") {
+            // uncomment below to test the property
+            // modelInstance.id shouldBe ("TODO")
+        }
+
+        // to test the property ``object`` - The object type of this resource -
+        // always set to `response`.
+        should("test `object`") {
+            // uncomment below to test the property
+            // modelInstance.`object` shouldBe ("TODO")
+        }
+
+        // to test the property `createdAt` - Unix timestamp (in seconds) of
+        // when this Response was created.
+        should("test createdAt") {
+            // uncomment below to test the property
+            // modelInstance.createdAt shouldBe ("TODO")
+        }
+
+        // to test the property `error`
+        should("test error") {
+            // uncomment below to test the property
+            // modelInstance.error shouldBe ("TODO")
+        }
+
+        // to test the property `incompleteDetails`
+        should("test incompleteDetails") {
+            // uncomment below to test the property
+            // modelInstance.incompleteDetails shouldBe ("TODO")
+        }
+
+        // to test the property `output` - An array of content items generated
+        // by the model.  - The length and order of items in the `output` array
+        // is dependent   on the model's response. - Rather than accessing the
+        // first item in the `output` array and    assuming it's an `assistant`
+        // message with the content generated by   the model, you might consider
+        // using the `output_text` property where   supported in SDKs.
+        should("test output") {
+            // uncomment below to test the property
+            // modelInstance.output shouldBe ("TODO")
+        }
+
+        // to test the property `parallelToolCalls` - Whether to allow the model
+        // to run tool calls in parallel.
+        should("test parallelToolCalls") {
+            // uncomment below to test the property
+            // modelInstance.parallelToolCalls shouldBe ("TODO")
+        }
+
+        // to test the property `user` - A unique identifier representing your
+        // end-user, which can help OpenAI to monitor and detect abuse. [Learn
+        // more](/docs/guides/safety-best-practices#end-user-ids).
+        should("test user") {
+            // uncomment below to test the property
+            // modelInstance.user shouldBe ("TODO")
+        }
+
+        // to test the property `previousResponseId` - The unique ID of the
+        // previous response to the model. Use this to create multi-turn
+        // conversations. Learn more about  [conversation
+        // state](/docs/guides/conversation-state).
+        should("test previousResponseId") {
+            // uncomment below to test the property
+            // modelInstance.previousResponseId shouldBe ("TODO")
+        }
+
+        // to test the property `reasoning`
+        should("test reasoning") {
+            // uncomment below to test the property
+            // modelInstance.reasoning shouldBe ("TODO")
+        }
+
+        // to test the property `maxOutputTokens` - An upper bound for the
+        // number of tokens that can be generated for a response, including
+        // visible output tokens and [reasoning tokens](/docs/guides/reasoning).
+        should("test maxOutputTokens") {
+            // uncomment below to test the property
+            // modelInstance.maxOutputTokens shouldBe ("TODO")
+        }
+
+        // to test the property `text`
+        should("test text") {
+            // uncomment below to test the property
+            // modelInstance.text shouldBe ("TODO")
+        }
+
+        // to test the property `truncation` - The truncation strategy to use
+        // for the model response. - `auto`: If the context of this response and
+        // previous ones exceeds   the model's context window size, the model
+        // will truncate the    response to fit the context window by dropping
+        // input items in the   middle of the conversation.  - `disabled`
+        // (default): If a model response will exceed the context window    size
+        // for a model, the request will fail with a 400 error.
+        should("test truncation") {
+            // uncomment below to test the property
+            // modelInstance.truncation shouldBe ("TODO")
+        }
+
+        // to test the property `status` - The status of the response
+        // generation. One of `completed`, `failed`,  `in_progress`, or
+        // `incomplete`.
+        should("test status") {
+            // uncomment below to test the property
+            // modelInstance.status shouldBe ("TODO")
+        }
+
+        // to test the property `outputText` - SDK-only convenience property
+        // that contains the aggregated text output  from all `output_text`
+        // items in the `output` array, if any are present.  Supported in the
+        // Python and JavaScript SDKs.
+        should("test outputText") {
+            // uncomment below to test the property
+            // modelInstance.outputText shouldBe ("TODO")
+        }
+
+        // to test the property `usage`
+        should("test usage") {
+            // uncomment below to test the property
+            // modelInstance.usage shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseTextAnnotationDeltaEventTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseTextAnnotationDeltaEventTest.kt
new file mode 100644
index 00000000..15dd54af
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseTextAnnotationDeltaEventTest.kt
@@ -0,0 +1,63 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseTextAnnotationDeltaEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // ResponseTextAnnotationDeltaEvent
+        // val modelInstance = ResponseTextAnnotationDeltaEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `response.output_text.annotation.added`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `itemId` - The ID of the output item that the
+        // text annotation was added to.
+        should("test itemId") {
+            // uncomment below to test the property
+            // modelInstance.itemId shouldBe ("TODO")
+        }
+
+        // to test the property `outputIndex` - The index of the output item
+        // that the text annotation was added to.
+        should("test outputIndex") {
+            // uncomment below to test the property
+            // modelInstance.outputIndex shouldBe ("TODO")
+        }
+
+        // to test the property `contentIndex` - The index of the content part
+        // that the text annotation was added to.
+        should("test contentIndex") {
+            // uncomment below to test the property
+            // modelInstance.contentIndex shouldBe ("TODO")
+        }
+
+        // to test the property `annotationIndex` - The index of the annotation
+        // that was added.
+        should("test annotationIndex") {
+            // uncomment below to test the property
+            // modelInstance.annotationIndex shouldBe ("TODO")
+        }
+
+        // to test the property ``annotation``
+        should("test `annotation`") {
+            // uncomment below to test the property
+            // modelInstance.`annotation` shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseTextDeltaEventTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseTextDeltaEventTest.kt
new file mode 100644
index 00000000..1c4c6e93
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseTextDeltaEventTest.kt
@@ -0,0 +1,55 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseTextDeltaEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ResponseTextDeltaEvent
+        // val modelInstance = ResponseTextDeltaEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `response.output_text.delta`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `itemId` - The ID of the output item that the
+        // text delta was added to.
+        should("test itemId") {
+            // uncomment below to test the property
+            // modelInstance.itemId shouldBe ("TODO")
+        }
+
+        // to test the property `outputIndex` - The index of the output item
+        // that the text delta was added to.
+        should("test outputIndex") {
+            // uncomment below to test the property
+            // modelInstance.outputIndex shouldBe ("TODO")
+        }
+
+        // to test the property `contentIndex` - The index of the content part
+        // that the text delta was added to.
+        should("test contentIndex") {
+            // uncomment below to test the property
+            // modelInstance.contentIndex shouldBe ("TODO")
+        }
+
+        // to test the property `delta` - The text delta that was added.
+        should("test delta") {
+            // uncomment below to test the property
+            // modelInstance.delta shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseTextDoneEventTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseTextDoneEventTest.kt
new file mode 100644
index 00000000..ac72ec66
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseTextDoneEventTest.kt
@@ -0,0 +1,55 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseTextDoneEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ResponseTextDoneEvent
+        // val modelInstance = ResponseTextDoneEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `response.output_text.done`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `itemId` - The ID of the output item that the
+        // text content is finalized.
+        should("test itemId") {
+            // uncomment below to test the property
+            // modelInstance.itemId shouldBe ("TODO")
+        }
+
+        // to test the property `outputIndex` - The index of the output item
+        // that the text content is finalized.
+        should("test outputIndex") {
+            // uncomment below to test the property
+            // modelInstance.outputIndex shouldBe ("TODO")
+        }
+
+        // to test the property `contentIndex` - The index of the content part
+        // that the text content is finalized.
+        should("test contentIndex") {
+            // uncomment below to test the property
+            // modelInstance.contentIndex shouldBe ("TODO")
+        }
+
+        // to test the property `text` - The text content that is finalized.
+        should("test text") {
+            // uncomment below to test the property
+            // modelInstance.text shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseUsageInputTokensDetailsTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseUsageInputTokensDetailsTest.kt
new file mode 100644
index 00000000..ffe27220
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseUsageInputTokensDetailsTest.kt
@@ -0,0 +1,30 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseUsageInputTokensDetailsTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // ResponseUsageInputTokensDetails
+        // val modelInstance = ResponseUsageInputTokensDetails()
+
+        // to test the property `cachedTokens` - The number of tokens that were
+        // retrieved from the cache.  [More on prompt
+        // caching](/docs/guides/prompt-caching).
+        should("test cachedTokens") {
+            // uncomment below to test the property
+            // modelInstance.cachedTokens shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseUsageOutputTokensDetailsTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseUsageOutputTokensDetailsTest.kt
new file mode 100644
index 00000000..2fcbea03
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseUsageOutputTokensDetailsTest.kt
@@ -0,0 +1,29 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseUsageOutputTokensDetailsTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // ResponseUsageOutputTokensDetails
+        // val modelInstance = ResponseUsageOutputTokensDetails()
+
+        // to test the property `reasoningTokens` - The number of reasoning
+        // tokens.
+        should("test reasoningTokens") {
+            // uncomment below to test the property
+            // modelInstance.reasoningTokens shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseUsageTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseUsageTest.kt
new file mode 100644
index 00000000..4b112a00
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseUsageTest.kt
@@ -0,0 +1,51 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseUsageTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ResponseUsage
+        // val modelInstance = ResponseUsage()
+
+        // to test the property `inputTokens` - The number of input tokens.
+        should("test inputTokens") {
+            // uncomment below to test the property
+            // modelInstance.inputTokens shouldBe ("TODO")
+        }
+
+        // to test the property `inputTokensDetails`
+        should("test inputTokensDetails") {
+            // uncomment below to test the property
+            // modelInstance.inputTokensDetails shouldBe ("TODO")
+        }
+
+        // to test the property `outputTokens` - The number of output tokens.
+        should("test outputTokens") {
+            // uncomment below to test the property
+            // modelInstance.outputTokens shouldBe ("TODO")
+        }
+
+        // to test the property `outputTokensDetails`
+        should("test outputTokensDetails") {
+            // uncomment below to test the property
+            // modelInstance.outputTokensDetails shouldBe ("TODO")
+        }
+
+        // to test the property `totalTokens` - The total number of tokens used.
+        should("test totalTokens") {
+            // uncomment below to test the property
+            // modelInstance.totalTokens shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseWebSearchCallCompletedEventTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseWebSearchCallCompletedEventTest.kt
new file mode 100644
index 00000000..339d94d1
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseWebSearchCallCompletedEventTest.kt
@@ -0,0 +1,43 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseWebSearchCallCompletedEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // ResponseWebSearchCallCompletedEvent
+        // val modelInstance = ResponseWebSearchCallCompletedEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `response.web_search_call.completed`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `outputIndex` - The index of the output item
+        // that the web search call is associated with.
+        should("test outputIndex") {
+            // uncomment below to test the property
+            // modelInstance.outputIndex shouldBe ("TODO")
+        }
+
+        // to test the property `itemId` - Unique ID for the output item
+        // associated with the web search call.
+        should("test itemId") {
+            // uncomment below to test the property
+            // modelInstance.itemId shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseWebSearchCallInProgressEventTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseWebSearchCallInProgressEventTest.kt
new file mode 100644
index 00000000..009a37fe
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseWebSearchCallInProgressEventTest.kt
@@ -0,0 +1,43 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseWebSearchCallInProgressEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // ResponseWebSearchCallInProgressEvent
+        // val modelInstance = ResponseWebSearchCallInProgressEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `response.web_search_call.in_progress`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `outputIndex` - The index of the output item
+        // that the web search call is associated with.
+        should("test outputIndex") {
+            // uncomment below to test the property
+            // modelInstance.outputIndex shouldBe ("TODO")
+        }
+
+        // to test the property `itemId` - Unique ID for the output item
+        // associated with the web search call.
+        should("test itemId") {
+            // uncomment below to test the property
+            // modelInstance.itemId shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ResponseWebSearchCallSearchingEventTest.kt b/lib/src/test/kotlin/com/openai/models/ResponseWebSearchCallSearchingEventTest.kt
new file mode 100644
index 00000000..887dcf45
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ResponseWebSearchCallSearchingEventTest.kt
@@ -0,0 +1,43 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ResponseWebSearchCallSearchingEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // ResponseWebSearchCallSearchingEvent
+        // val modelInstance = ResponseWebSearchCallSearchingEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `response.web_search_call.searching`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `outputIndex` - The index of the output item
+        // that the web search call is associated with.
+        should("test outputIndex") {
+            // uncomment below to test the property
+            // modelInstance.outputIndex shouldBe ("TODO")
+        }
+
+        // to test the property `itemId` - Unique ID for the output item
+        // associated with the web search call.
+        should("test itemId") {
+            // uncomment below to test the property
+            // modelInstance.itemId shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/RunStepDetailsToolCallsFileSearchRankingOptionsObjectTest.kt b/lib/src/test/kotlin/com/openai/models/RunStepDetailsToolCallsFileSearchRankingOptionsObjectTest.kt
index ae80d803..65fcd533 100644
--- a/lib/src/test/kotlin/com/openai/models/RunStepDetailsToolCallsFileSearchRankingOptionsObjectTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/RunStepDetailsToolCallsFileSearchRankingOptionsObjectTest.kt
@@ -20,7 +20,7 @@ class RunStepDetailsToolCallsFileSearchRankingOptionsObjectTest : ShouldSpec() {
         // val modelInstance =
         // RunStepDetailsToolCallsFileSearchRankingOptionsObject()
 
-        // to test the property `ranker` - The ranker used for the file search.
+        // to test the property `ranker`
         should("test ranker") {
             // uncomment below to test the property
             // modelInstance.ranker shouldBe ("TODO")
diff --git a/lib/src/test/kotlin/com/openai/models/ScreenshotTest.kt b/lib/src/test/kotlin/com/openai/models/ScreenshotTest.kt
new file mode 100644
index 00000000..7514e8a3
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ScreenshotTest.kt
@@ -0,0 +1,28 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ScreenshotTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of Screenshot
+        // val modelInstance = Screenshot()
+
+        // to test the property `type` - Specifies the event type. For a
+        // screenshot action, this property is  always set to `screenshot`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ScrollTest.kt b/lib/src/test/kotlin/com/openai/models/ScrollTest.kt
new file mode 100644
index 00000000..d4056c5d
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ScrollTest.kt
@@ -0,0 +1,54 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ScrollTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of Scroll
+        // val modelInstance = Scroll()
+
+        // to test the property `type` - Specifies the event type. For a scroll
+        // action, this property is  always set to `scroll`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `x` - The x-coordinate where the scroll
+        // occurred.
+        should("test x") {
+            // uncomment below to test the property
+            // modelInstance.x shouldBe ("TODO")
+        }
+
+        // to test the property `y` - The y-coordinate where the scroll
+        // occurred.
+        should("test y") {
+            // uncomment below to test the property
+            // modelInstance.y shouldBe ("TODO")
+        }
+
+        // to test the property `scrollX` - The horizontal scroll distance.
+        should("test scrollX") {
+            // uncomment below to test the property
+            // modelInstance.scrollX shouldBe ("TODO")
+        }
+
+        // to test the property `scrollY` - The vertical scroll distance.
+        should("test scrollY") {
+            // uncomment below to test the property
+            // modelInstance.scrollY shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/StopConfigurationTest.kt b/lib/src/test/kotlin/com/openai/models/StopConfigurationTest.kt
new file mode 100644
index 00000000..e5cc8d40
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/StopConfigurationTest.kt
@@ -0,0 +1,22 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class StopConfigurationTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of StopConfiguration
+        // val modelInstance = StopConfiguration()
+
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/TextResponseFormatConfigurationTest.kt b/lib/src/test/kotlin/com/openai/models/TextResponseFormatConfigurationTest.kt
new file mode 100644
index 00000000..db796475
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/TextResponseFormatConfigurationTest.kt
@@ -0,0 +1,64 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class TextResponseFormatConfigurationTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // TextResponseFormatConfiguration
+        // val modelInstance = TextResponseFormatConfiguration()
+
+        // to test the property `type` - The type of response format being
+        // defined. Always `text`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `schema` - The schema for the response format,
+        // described as a JSON Schema object. Learn how to build JSON schemas
+        // [here](https://json-schema.org/).
+        should("test schema") {
+            // uncomment below to test the property
+            // modelInstance.schema shouldBe ("TODO")
+        }
+
+        // to test the property `description` - A description of what the
+        // response format is for, used by the model to determine how to respond
+        // in the format.
+        should("test description") {
+            // uncomment below to test the property
+            // modelInstance.description shouldBe ("TODO")
+        }
+
+        // to test the property `name` - The name of the response format. Must
+        // be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum
+        // length of 64.
+        should("test name") {
+            // uncomment below to test the property
+            // modelInstance.name shouldBe ("TODO")
+        }
+
+        // to test the property `strict` - Whether to enable strict schema
+        // adherence when generating the output. If set to true, the model will
+        // always follow the exact schema defined in the `schema` field. Only a
+        // subset of JSON Schema is supported when `strict` is `true`. To learn
+        // more, read the [Structured Outputs
+        // guide](/docs/guides/structured-outputs).
+        should("test strict") {
+            // uncomment below to test the property
+            // modelInstance.strict shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/TextResponseFormatJsonSchemaTest.kt b/lib/src/test/kotlin/com/openai/models/TextResponseFormatJsonSchemaTest.kt
new file mode 100644
index 00000000..115f2f5e
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/TextResponseFormatJsonSchemaTest.kt
@@ -0,0 +1,63 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class TextResponseFormatJsonSchemaTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of TextResponseFormatJsonSchema
+        // val modelInstance = TextResponseFormatJsonSchema()
+
+        // to test the property `type` - The type of response format being
+        // defined. Always `json_schema`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `schema` - The schema for the response format,
+        // described as a JSON Schema object. Learn how to build JSON schemas
+        // [here](https://json-schema.org/).
+        should("test schema") {
+            // uncomment below to test the property
+            // modelInstance.schema shouldBe ("TODO")
+        }
+
+        // to test the property `description` - A description of what the
+        // response format is for, used by the model to determine how to respond
+        // in the format.
+        should("test description") {
+            // uncomment below to test the property
+            // modelInstance.description shouldBe ("TODO")
+        }
+
+        // to test the property `name` - The name of the response format. Must
+        // be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum
+        // length of 64.
+        should("test name") {
+            // uncomment below to test the property
+            // modelInstance.name shouldBe ("TODO")
+        }
+
+        // to test the property `strict` - Whether to enable strict schema
+        // adherence when generating the output. If set to true, the model will
+        // always follow the exact schema defined in the `schema` field. Only a
+        // subset of JSON Schema is supported when `strict` is `true`. To learn
+        // more, read the [Structured Outputs
+        // guide](/docs/guides/structured-outputs).
+        should("test strict") {
+            // uncomment below to test the property
+            // modelInstance.strict shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ToolChoiceFunctionTest.kt b/lib/src/test/kotlin/com/openai/models/ToolChoiceFunctionTest.kt
new file mode 100644
index 00000000..0bbef99d
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ToolChoiceFunctionTest.kt
@@ -0,0 +1,34 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ToolChoiceFunctionTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ToolChoiceFunction
+        // val modelInstance = ToolChoiceFunction()
+
+        // to test the property `type` - For function calling, the type is
+        // always `function`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `name` - The name of the function to call.
+        should("test name") {
+            // uncomment below to test the property
+            // modelInstance.name shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ToolChoiceOptionsTest.kt b/lib/src/test/kotlin/com/openai/models/ToolChoiceOptionsTest.kt
new file mode 100644
index 00000000..d7f1210e
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ToolChoiceOptionsTest.kt
@@ -0,0 +1,22 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ToolChoiceOptionsTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ToolChoiceOptions
+        // val modelInstance = ToolChoiceOptions()
+
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ToolChoiceTypesTest.kt b/lib/src/test/kotlin/com/openai/models/ToolChoiceTypesTest.kt
new file mode 100644
index 00000000..e9736a22
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ToolChoiceTypesTest.kt
@@ -0,0 +1,30 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ToolChoiceTypesTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of ToolChoiceTypes
+        // val modelInstance = ToolChoiceTypes()
+
+        // to test the property `type` - The type of hosted tool the model
+        // should to use. Learn more about [built-in tools](/docs/guides/tools).
+        //  Allowed values are: - `file_search` - `web_search_preview` -
+        // `computer_use_preview`
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/ToolTest.kt b/lib/src/test/kotlin/com/openai/models/ToolTest.kt
new file mode 100644
index 00000000..67167033
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/ToolTest.kt
@@ -0,0 +1,114 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class ToolTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of Tool
+        // val modelInstance = Tool()
+
+        // to test the property `type` - The type of the file search tool.
+        // Always `file_search`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `vectorStoreIds` - The IDs of the vector stores
+        // to search.
+        should("test vectorStoreIds") {
+            // uncomment below to test the property
+            // modelInstance.vectorStoreIds shouldBe ("TODO")
+        }
+
+        // to test the property `name` - The name of the function to call.
+        should("test name") {
+            // uncomment below to test the property
+            // modelInstance.name shouldBe ("TODO")
+        }
+
+        // to test the property `parameters` - A JSON schema object describing
+        // the parameters of the function.
+        should("test parameters") {
+            // uncomment below to test the property
+            // modelInstance.parameters shouldBe ("TODO")
+        }
+
+        // to test the property `strict` - Whether to enforce strict parameter
+        // validation. Default `true`.
+        should("test strict") {
+            // uncomment below to test the property
+            // modelInstance.strict shouldBe ("TODO")
+        }
+
+        // to test the property `displayWidth` - The width of the computer
+        // display.
+        should("test displayWidth") {
+            // uncomment below to test the property
+            // modelInstance.displayWidth shouldBe ("TODO")
+        }
+
+        // to test the property `displayHeight` - The height of the computer
+        // display.
+        should("test displayHeight") {
+            // uncomment below to test the property
+            // modelInstance.displayHeight shouldBe ("TODO")
+        }
+
+        // to test the property `environment` - The type of computer environment
+        // to control.
+        should("test environment") {
+            // uncomment below to test the property
+            // modelInstance.environment shouldBe ("TODO")
+        }
+
+        // to test the property `maxNumResults` - The maximum number of results
+        // to return. This number should be between 1  and 50 inclusive.
+        should("test maxNumResults") {
+            // uncomment below to test the property
+            // modelInstance.maxNumResults shouldBe ("TODO")
+        }
+
+        // to test the property `filters`
+        should("test filters") {
+            // uncomment below to test the property
+            // modelInstance.filters shouldBe ("TODO")
+        }
+
+        // to test the property `rankingOptions`
+        should("test rankingOptions") {
+            // uncomment below to test the property
+            // modelInstance.rankingOptions shouldBe ("TODO")
+        }
+
+        // to test the property `description` - A description of the function.
+        // Used by the model to determine whether or not to call the function.
+        should("test description") {
+            // uncomment below to test the property
+            // modelInstance.description shouldBe ("TODO")
+        }
+
+        // to test the property `userLocation`
+        should("test userLocation") {
+            // uncomment below to test the property
+            // modelInstance.userLocation shouldBe ("TODO")
+        }
+
+        // to test the property `searchContextSize`
+        should("test searchContextSize") {
+            // uncomment below to test the property
+            // modelInstance.searchContextSize shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/TranscriptTextDeltaEventTest.kt b/lib/src/test/kotlin/com/openai/models/TranscriptTextDeltaEventTest.kt
new file mode 100644
index 00000000..007b6c26
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/TranscriptTextDeltaEventTest.kt
@@ -0,0 +1,44 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class TranscriptTextDeltaEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of TranscriptTextDeltaEvent
+        // val modelInstance = TranscriptTextDeltaEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `transcript.text.delta`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `delta` - The text delta that was additionally
+        // transcribed.
+        should("test delta") {
+            // uncomment below to test the property
+            // modelInstance.delta shouldBe ("TODO")
+        }
+
+        // to test the property `logprobs` - The log probabilities of the delta.
+        // Only included if you [create a
+        // transcription](/docs/api-reference/audio/create-transcription) with
+        // the `include[]` parameter set to `logprobs`.
+        should("test logprobs") {
+            // uncomment below to test the property
+            // modelInstance.logprobs shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/TranscriptTextDoneEventTest.kt b/lib/src/test/kotlin/com/openai/models/TranscriptTextDoneEventTest.kt
new file mode 100644
index 00000000..a3058acd
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/TranscriptTextDoneEventTest.kt
@@ -0,0 +1,43 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class TranscriptTextDoneEventTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of TranscriptTextDoneEvent
+        // val modelInstance = TranscriptTextDoneEvent()
+
+        // to test the property `type` - The type of the event. Always
+        // `transcript.text.done`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `text` - The text that was transcribed.
+        should("test text") {
+            // uncomment below to test the property
+            // modelInstance.text shouldBe ("TODO")
+        }
+
+        // to test the property `logprobs` - The log probabilities of the
+        // individual tokens in the transcription. Only included if you [create
+        // a transcription](/docs/api-reference/audio/create-transcription) with
+        // the `include[]` parameter set to `logprobs`.
+        should("test logprobs") {
+            // uncomment below to test the property
+            // modelInstance.logprobs shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/TranscriptionIncludeTest.kt b/lib/src/test/kotlin/com/openai/models/TranscriptionIncludeTest.kt
new file mode 100644
index 00000000..00a95c48
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/TranscriptionIncludeTest.kt
@@ -0,0 +1,22 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class TranscriptionIncludeTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of TranscriptionInclude
+        // val modelInstance = TranscriptionInclude()
+
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/TypeTest.kt b/lib/src/test/kotlin/com/openai/models/TypeTest.kt
new file mode 100644
index 00000000..068ee9f7
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/TypeTest.kt
@@ -0,0 +1,34 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class TypeTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of Type
+        // val modelInstance = Type()
+
+        // to test the property `type` - Specifies the event type. For a type
+        // action, this property is  always set to `type`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `text` - The text to type.
+        should("test text") {
+            // uncomment below to test the property
+            // modelInstance.text shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/UpdateChatCompletionRequestTest.kt b/lib/src/test/kotlin/com/openai/models/UpdateChatCompletionRequestTest.kt
new file mode 100644
index 00000000..aab8e23c
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/UpdateChatCompletionRequestTest.kt
@@ -0,0 +1,32 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class UpdateChatCompletionRequestTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of UpdateChatCompletionRequest
+        // val modelInstance = UpdateChatCompletionRequest()
+
+        // to test the property `metadata` - Set of 16 key-value pairs that can
+        // be attached to an object. This can be useful for storing additional
+        // information about the object in a structured format, and querying for
+        // objects via API or the dashboard.   Keys are strings with a maximum
+        // length of 64 characters. Values are strings with a maximum length of
+        // 512 characters.
+        should("test metadata") {
+            // uncomment below to test the property
+            // modelInstance.metadata shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/UpdateVectorStoreFileAttributesRequestTest.kt b/lib/src/test/kotlin/com/openai/models/UpdateVectorStoreFileAttributesRequestTest.kt
new file mode 100644
index 00000000..cede9027
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/UpdateVectorStoreFileAttributesRequestTest.kt
@@ -0,0 +1,33 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class UpdateVectorStoreFileAttributesRequestTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // UpdateVectorStoreFileAttributesRequest
+        // val modelInstance = UpdateVectorStoreFileAttributesRequest()
+
+        // to test the property `attributes` - Set of 16 key-value pairs that
+        // can be attached to an object. This can be  useful for storing
+        // additional information about the object in a structured  format, and
+        // querying for objects via API or the dashboard. Keys are strings  with
+        // a maximum length of 64 characters. Values are strings with a maximum
+        // length of 512 characters, booleans, or numbers.
+        should("test attributes") {
+            // uncomment below to test the property
+            // modelInstance.attributes shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/UploadFileTest.kt b/lib/src/test/kotlin/com/openai/models/UploadFileTest.kt
index c6bb72a9..a1109cdb 100644
--- a/lib/src/test/kotlin/com/openai/models/UploadFileTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/UploadFileTest.kt
@@ -66,6 +66,13 @@ class UploadFileTest : ShouldSpec() {
             // modelInstance.status shouldBe ("TODO")
         }
 
+        // to test the property `expiresAt` - The Unix timestamp (in seconds)
+        // for when the file will expire.
+        should("test expiresAt") {
+            // uncomment below to test the property
+            // modelInstance.expiresAt shouldBe ("TODO")
+        }
+
         // to test the property `statusDetails` - Deprecated. For details on why
         // a fine-tuning training file failed validation, see the `error` field
         // on `fine_tuning.job`.
diff --git a/lib/src/test/kotlin/com/openai/models/UploadTest.kt b/lib/src/test/kotlin/com/openai/models/UploadTest.kt
index af6909a5..ecc46ce7 100644
--- a/lib/src/test/kotlin/com/openai/models/UploadTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/UploadTest.kt
@@ -62,7 +62,7 @@ class UploadTest : ShouldSpec() {
         }
 
         // to test the property `expiresAt` - The Unix timestamp (in seconds)
-        // for when the Upload was created.
+        // for when the Upload will expire.
         should("test expiresAt") {
             // uncomment below to test the property
             // modelInstance.expiresAt shouldBe ("TODO")
diff --git a/lib/src/test/kotlin/com/openai/models/UrlCitationTest.kt b/lib/src/test/kotlin/com/openai/models/UrlCitationTest.kt
new file mode 100644
index 00000000..96a9e3fc
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/UrlCitationTest.kt
@@ -0,0 +1,54 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class UrlCitationTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of UrlCitation
+        // val modelInstance = UrlCitation()
+
+        // to test the property `url` - The URL of the web resource.
+        should("test url") {
+            // uncomment below to test the property
+            // modelInstance.url shouldBe ("TODO")
+        }
+
+        // to test the property `title` - The title of the web resource.
+        should("test title") {
+            // uncomment below to test the property
+            // modelInstance.title shouldBe ("TODO")
+        }
+
+        // to test the property `type` - The type of the URL citation. Always
+        // `url_citation`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `startIndex` - The index of the first character
+        // of the URL citation in the message.
+        should("test startIndex") {
+            // uncomment below to test the property
+            // modelInstance.startIndex shouldBe ("TODO")
+        }
+
+        // to test the property `endIndex` - The index of the last character of
+        // the URL citation in the message.
+        should("test endIndex") {
+            // uncomment below to test the property
+            // modelInstance.endIndex shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/RealtimeSessionMaxResponseOutputTokensTest.kt b/lib/src/test/kotlin/com/openai/models/VectorStoreFileAttributesValueTest.kt
similarity index 68%
rename from lib/src/test/kotlin/com/openai/models/RealtimeSessionMaxResponseOutputTokensTest.kt
rename to lib/src/test/kotlin/com/openai/models/VectorStoreFileAttributesValueTest.kt
index 543830c0..c95b56ae 100644
--- a/lib/src/test/kotlin/com/openai/models/RealtimeSessionMaxResponseOutputTokensTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/VectorStoreFileAttributesValueTest.kt
@@ -13,11 +13,11 @@ package com.openai.models
 
 import io.kotlintest.specs.ShouldSpec
 
-class RealtimeSessionMaxResponseOutputTokensTest : ShouldSpec() {
+class VectorStoreFileAttributesValueTest : ShouldSpec() {
     init {
         // uncomment below to create an instance of
-        // RealtimeSessionMaxResponseOutputTokens
-        // val modelInstance = RealtimeSessionMaxResponseOutputTokens()
+        // VectorStoreFileAttributesValue
+        // val modelInstance = VectorStoreFileAttributesValue()
 
     }
 }
diff --git a/lib/src/test/kotlin/com/openai/models/VectorStoreFileContentResponseDataInnerTest.kt b/lib/src/test/kotlin/com/openai/models/VectorStoreFileContentResponseDataInnerTest.kt
new file mode 100644
index 00000000..2867a8f1
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/VectorStoreFileContentResponseDataInnerTest.kt
@@ -0,0 +1,35 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class VectorStoreFileContentResponseDataInnerTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // VectorStoreFileContentResponseDataInner
+        // val modelInstance = VectorStoreFileContentResponseDataInner()
+
+        // to test the property `type` - The content type (currently only
+        // `\"text\"`)
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `text` - The text content
+        should("test text") {
+            // uncomment below to test the property
+            // modelInstance.text shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/VectorStoreFileContentResponseTest.kt b/lib/src/test/kotlin/com/openai/models/VectorStoreFileContentResponseTest.kt
new file mode 100644
index 00000000..06390694
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/VectorStoreFileContentResponseTest.kt
@@ -0,0 +1,49 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class VectorStoreFileContentResponseTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // VectorStoreFileContentResponse
+        // val modelInstance = VectorStoreFileContentResponse()
+
+        // to test the property ``object`` - The object type, which is always
+        // `vector_store.file_content.page`
+        should("test `object`") {
+            // uncomment below to test the property
+            // modelInstance.`object` shouldBe ("TODO")
+        }
+
+        // to test the property ``data`` - Parsed content of the file.
+        should("test `data`") {
+            // uncomment below to test the property
+            // modelInstance.`data` shouldBe ("TODO")
+        }
+
+        // to test the property `hasMore` - Indicates if there are more content
+        // pages to fetch.
+        should("test hasMore") {
+            // uncomment below to test the property
+            // modelInstance.hasMore shouldBe ("TODO")
+        }
+
+        // to test the property `nextPage` - The token for the next page, if
+        // any.
+        should("test nextPage") {
+            // uncomment below to test the property
+            // modelInstance.nextPage shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/VectorStoreFileObjectTest.kt b/lib/src/test/kotlin/com/openai/models/VectorStoreFileObjectTest.kt
index 61e2b057..daa37c8c 100644
--- a/lib/src/test/kotlin/com/openai/models/VectorStoreFileObjectTest.kt
+++ b/lib/src/test/kotlin/com/openai/models/VectorStoreFileObjectTest.kt
@@ -74,5 +74,16 @@ class VectorStoreFileObjectTest : ShouldSpec() {
             // uncomment below to test the property
             // modelInstance.chunkingStrategy shouldBe ("TODO")
         }
+
+        // to test the property `attributes` - Set of 16 key-value pairs that
+        // can be attached to an object. This can be  useful for storing
+        // additional information about the object in a structured  format, and
+        // querying for objects via API or the dashboard. Keys are strings  with
+        // a maximum length of 64 characters. Values are strings with a maximum
+        // length of 512 characters, booleans, or numbers.
+        should("test attributes") {
+            // uncomment below to test the property
+            // modelInstance.attributes shouldBe ("TODO")
+        }
     }
 }
diff --git a/lib/src/test/kotlin/com/openai/models/VectorStoreSearchRequestQueryTest.kt b/lib/src/test/kotlin/com/openai/models/VectorStoreSearchRequestQueryTest.kt
new file mode 100644
index 00000000..1f12fb63
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/VectorStoreSearchRequestQueryTest.kt
@@ -0,0 +1,23 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class VectorStoreSearchRequestQueryTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // VectorStoreSearchRequestQuery
+        // val modelInstance = VectorStoreSearchRequestQuery()
+
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/VectorStoreSearchRequestRankingOptionsTest.kt b/lib/src/test/kotlin/com/openai/models/VectorStoreSearchRequestRankingOptionsTest.kt
new file mode 100644
index 00000000..bc811dac
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/VectorStoreSearchRequestRankingOptionsTest.kt
@@ -0,0 +1,34 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class VectorStoreSearchRequestRankingOptionsTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // VectorStoreSearchRequestRankingOptions
+        // val modelInstance = VectorStoreSearchRequestRankingOptions()
+
+        // to test the property `ranker`
+        should("test ranker") {
+            // uncomment below to test the property
+            // modelInstance.ranker shouldBe ("TODO")
+        }
+
+        // to test the property `scoreThreshold`
+        should("test scoreThreshold") {
+            // uncomment below to test the property
+            // modelInstance.scoreThreshold shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/VectorStoreSearchRequestTest.kt b/lib/src/test/kotlin/com/openai/models/VectorStoreSearchRequestTest.kt
new file mode 100644
index 00000000..8d6601e9
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/VectorStoreSearchRequestTest.kt
@@ -0,0 +1,53 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class VectorStoreSearchRequestTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of VectorStoreSearchRequest
+        // val modelInstance = VectorStoreSearchRequest()
+
+        // to test the property `query`
+        should("test query") {
+            // uncomment below to test the property
+            // modelInstance.query shouldBe ("TODO")
+        }
+
+        // to test the property `rewriteQuery` - Whether to rewrite the natural
+        // language query for vector search.
+        should("test rewriteQuery") {
+            // uncomment below to test the property
+            // modelInstance.rewriteQuery shouldBe ("TODO")
+        }
+
+        // to test the property `maxNumResults` - The maximum number of results
+        // to return. This number should be between 1 and 50 inclusive.
+        should("test maxNumResults") {
+            // uncomment below to test the property
+            // modelInstance.maxNumResults shouldBe ("TODO")
+        }
+
+        // to test the property `filters`
+        should("test filters") {
+            // uncomment below to test the property
+            // modelInstance.filters shouldBe ("TODO")
+        }
+
+        // to test the property `rankingOptions`
+        should("test rankingOptions") {
+            // uncomment below to test the property
+            // modelInstance.rankingOptions shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/VectorStoreSearchResultContentObjectTest.kt b/lib/src/test/kotlin/com/openai/models/VectorStoreSearchResultContentObjectTest.kt
new file mode 100644
index 00000000..4a165044
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/VectorStoreSearchResultContentObjectTest.kt
@@ -0,0 +1,34 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class VectorStoreSearchResultContentObjectTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of
+        // VectorStoreSearchResultContentObject
+        // val modelInstance = VectorStoreSearchResultContentObject()
+
+        // to test the property `type` - The type of content.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `text` - The text content returned from search.
+        should("test text") {
+            // uncomment below to test the property
+            // modelInstance.text shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/VectorStoreSearchResultItemTest.kt b/lib/src/test/kotlin/com/openai/models/VectorStoreSearchResultItemTest.kt
new file mode 100644
index 00000000..55693335
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/VectorStoreSearchResultItemTest.kt
@@ -0,0 +1,56 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class VectorStoreSearchResultItemTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of VectorStoreSearchResultItem
+        // val modelInstance = VectorStoreSearchResultItem()
+
+        // to test the property `fileId` - The ID of the vector store file.
+        should("test fileId") {
+            // uncomment below to test the property
+            // modelInstance.fileId shouldBe ("TODO")
+        }
+
+        // to test the property `filename` - The name of the vector store file.
+        should("test filename") {
+            // uncomment below to test the property
+            // modelInstance.filename shouldBe ("TODO")
+        }
+
+        // to test the property `score` - The similarity score for the result.
+        should("test score") {
+            // uncomment below to test the property
+            // modelInstance.score shouldBe ("TODO")
+        }
+
+        // to test the property `attributes` - Set of 16 key-value pairs that
+        // can be attached to an object. This can be  useful for storing
+        // additional information about the object in a structured  format, and
+        // querying for objects via API or the dashboard. Keys are strings  with
+        // a maximum length of 64 characters. Values are strings with a maximum
+        // length of 512 characters, booleans, or numbers.
+        should("test attributes") {
+            // uncomment below to test the property
+            // modelInstance.attributes shouldBe ("TODO")
+        }
+
+        // to test the property `content` - Content chunks from the file.
+        should("test content") {
+            // uncomment below to test the property
+            // modelInstance.content shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/VectorStoreSearchResultsPageTest.kt b/lib/src/test/kotlin/com/openai/models/VectorStoreSearchResultsPageTest.kt
new file mode 100644
index 00000000..ea98d186
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/VectorStoreSearchResultsPageTest.kt
@@ -0,0 +1,54 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class VectorStoreSearchResultsPageTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of VectorStoreSearchResultsPage
+        // val modelInstance = VectorStoreSearchResultsPage()
+
+        // to test the property ``object`` - The object type, which is always
+        // `vector_store.search_results.page`
+        should("test `object`") {
+            // uncomment below to test the property
+            // modelInstance.`object` shouldBe ("TODO")
+        }
+
+        // to test the property `searchQuery`
+        should("test searchQuery") {
+            // uncomment below to test the property
+            // modelInstance.searchQuery shouldBe ("TODO")
+        }
+
+        // to test the property ``data`` - The list of search result items.
+        should("test `data`") {
+            // uncomment below to test the property
+            // modelInstance.`data` shouldBe ("TODO")
+        }
+
+        // to test the property `hasMore` - Indicates if there are more results
+        // to fetch.
+        should("test hasMore") {
+            // uncomment below to test the property
+            // modelInstance.hasMore shouldBe ("TODO")
+        }
+
+        // to test the property `nextPage` - The token for the next page, if
+        // any.
+        should("test nextPage") {
+            // uncomment below to test the property
+            // modelInstance.nextPage shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/VoiceIdsSharedTest.kt b/lib/src/test/kotlin/com/openai/models/VoiceIdsSharedTest.kt
new file mode 100644
index 00000000..a4731eaf
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/VoiceIdsSharedTest.kt
@@ -0,0 +1,22 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class VoiceIdsSharedTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of VoiceIdsShared
+        // val modelInstance = VoiceIdsShared()
+
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/WaitTest.kt b/lib/src/test/kotlin/com/openai/models/WaitTest.kt
new file mode 100644
index 00000000..8d9dc161
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/WaitTest.kt
@@ -0,0 +1,28 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class WaitTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of Wait
+        // val modelInstance = Wait()
+
+        // to test the property `type` - Specifies the event type. For a wait
+        // action, this property is  always set to `wait`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/WebSearchContextSizeTest.kt b/lib/src/test/kotlin/com/openai/models/WebSearchContextSizeTest.kt
new file mode 100644
index 00000000..7a0f868a
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/WebSearchContextSizeTest.kt
@@ -0,0 +1,22 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class WebSearchContextSizeTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of WebSearchContextSize
+        // val modelInstance = WebSearchContextSize()
+
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/WebSearchLocationTest.kt b/lib/src/test/kotlin/com/openai/models/WebSearchLocationTest.kt
new file mode 100644
index 00000000..d849051a
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/WebSearchLocationTest.kt
@@ -0,0 +1,51 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class WebSearchLocationTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of WebSearchLocation
+        // val modelInstance = WebSearchLocation()
+
+        // to test the property `country` - The two-letter  [ISO country
+        // code](https://en.wikipedia.org/wiki/ISO_3166-1) of the user, e.g.
+        // `US`.
+        should("test country") {
+            // uncomment below to test the property
+            // modelInstance.country shouldBe ("TODO")
+        }
+
+        // to test the property `region` - Free text input for the region of the
+        // user, e.g. `California`.
+        should("test region") {
+            // uncomment below to test the property
+            // modelInstance.region shouldBe ("TODO")
+        }
+
+        // to test the property `city` - Free text input for the city of the
+        // user, e.g. `San Francisco`.
+        should("test city") {
+            // uncomment below to test the property
+            // modelInstance.city shouldBe ("TODO")
+        }
+
+        // to test the property `timezone` - The [IANA
+        // timezone](https://timeapi.io/documentation/iana-timezones)  of the
+        // user, e.g. `America/Los_Angeles`.
+        should("test timezone") {
+            // uncomment below to test the property
+            // modelInstance.timezone shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/WebSearchTest.kt b/lib/src/test/kotlin/com/openai/models/WebSearchTest.kt
new file mode 100644
index 00000000..3cc9f936
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/WebSearchTest.kt
@@ -0,0 +1,33 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class WebSearchTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of WebSearch
+        // val modelInstance = WebSearch()
+
+        // to test the property `userLocation`
+        should("test userLocation") {
+            // uncomment below to test the property
+            // modelInstance.userLocation shouldBe ("TODO")
+        }
+
+        // to test the property `searchContextSize`
+        should("test searchContextSize") {
+            // uncomment below to test the property
+            // modelInstance.searchContextSize shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/WebSearchToolCallTest.kt b/lib/src/test/kotlin/com/openai/models/WebSearchToolCallTest.kt
new file mode 100644
index 00000000..5524dc6b
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/WebSearchToolCallTest.kt
@@ -0,0 +1,42 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class WebSearchToolCallTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of WebSearchToolCall
+        // val modelInstance = WebSearchToolCall()
+
+        // to test the property `id` - The unique ID of the web search tool
+        // call.
+        should("test id") {
+            // uncomment below to test the property
+            // modelInstance.id shouldBe ("TODO")
+        }
+
+        // to test the property `type` - The type of the web search tool call.
+        // Always `web_search_call`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `status` - The status of the web search tool
+        // call.
+        should("test status") {
+            // uncomment below to test the property
+            // modelInstance.status shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/WebSearchToolTest.kt b/lib/src/test/kotlin/com/openai/models/WebSearchToolTest.kt
new file mode 100644
index 00000000..a30be6fd
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/WebSearchToolTest.kt
@@ -0,0 +1,40 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class WebSearchToolTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of WebSearchTool
+        // val modelInstance = WebSearchTool()
+
+        // to test the property `type` - The type of the web search tool. One
+        // of: - `web_search_preview` - `web_search_preview_2025_03_11`
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `userLocation`
+        should("test userLocation") {
+            // uncomment below to test the property
+            // modelInstance.userLocation shouldBe ("TODO")
+        }
+
+        // to test the property `searchContextSize`
+        should("test searchContextSize") {
+            // uncomment below to test the property
+            // modelInstance.searchContextSize shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/WebSearchToolUserLocationTest.kt b/lib/src/test/kotlin/com/openai/models/WebSearchToolUserLocationTest.kt
new file mode 100644
index 00000000..b9d2a30b
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/WebSearchToolUserLocationTest.kt
@@ -0,0 +1,58 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class WebSearchToolUserLocationTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of WebSearchToolUserLocation
+        // val modelInstance = WebSearchToolUserLocation()
+
+        // to test the property `type` - The type of location approximation.
+        // Always `approximate`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `country` - The two-letter  [ISO country
+        // code](https://en.wikipedia.org/wiki/ISO_3166-1) of the user, e.g.
+        // `US`.
+        should("test country") {
+            // uncomment below to test the property
+            // modelInstance.country shouldBe ("TODO")
+        }
+
+        // to test the property `region` - Free text input for the region of the
+        // user, e.g. `California`.
+        should("test region") {
+            // uncomment below to test the property
+            // modelInstance.region shouldBe ("TODO")
+        }
+
+        // to test the property `city` - Free text input for the city of the
+        // user, e.g. `San Francisco`.
+        should("test city") {
+            // uncomment below to test the property
+            // modelInstance.city shouldBe ("TODO")
+        }
+
+        // to test the property `timezone` - The [IANA
+        // timezone](https://timeapi.io/documentation/iana-timezones)  of the
+        // user, e.g. `America/Los_Angeles`.
+        should("test timezone") {
+            // uncomment below to test the property
+            // modelInstance.timezone shouldBe ("TODO")
+        }
+    }
+}
diff --git a/lib/src/test/kotlin/com/openai/models/WebSearchUserLocationTest.kt b/lib/src/test/kotlin/com/openai/models/WebSearchUserLocationTest.kt
new file mode 100644
index 00000000..ed626f93
--- /dev/null
+++ b/lib/src/test/kotlin/com/openai/models/WebSearchUserLocationTest.kt
@@ -0,0 +1,34 @@
+/**
+ * Please note: This class is auto generated by OpenAPI Generator
+ * (https://openapi-generator.tech). Do not edit this file manually.
+ */
+@file:Suppress(
+    "ArrayInDataClass",
+    "EnumEntryName",
+    "RemoveRedundantQualifierName",
+    "UnusedImport",
+)
+
+package com.openai.models
+
+import io.kotlintest.specs.ShouldSpec
+
+class WebSearchUserLocationTest : ShouldSpec() {
+    init {
+        // uncomment below to create an instance of WebSearchUserLocation
+        // val modelInstance = WebSearchUserLocation()
+
+        // to test the property `type` - The type of location approximation.
+        // Always `approximate`.
+        should("test type") {
+            // uncomment below to test the property
+            // modelInstance.type shouldBe ("TODO")
+        }
+
+        // to test the property `approximate`
+        should("test approximate") {
+            // uncomment below to test the property
+            // modelInstance.approximate shouldBe ("TODO")
+        }
+    }
+}
diff --git a/openai-kotlin-client.sh b/openai-kotlin-client.sh
index 30bf6e4f..eaf04f7d 100755
--- a/openai-kotlin-client.sh
+++ b/openai-kotlin-client.sh
@@ -1,14 +1,25 @@
 # https://openapi-generator.tech/docs/generators/kotlin/
 
+if [ -z "$1" ]; then
+    echo "Error: OpenAPI specification file is required"
+    echo "Usage: $0 openapi-YYYYMMDD.yaml"
+    exit 1
+fi
+
 time \
-openapi-generator generate -i openapi-20250212.yaml -g kotlin  -o ./lib --skip-validate-spec \
---additional-properties=artifactId=openai-kotlin-client,artifactVersion=0.0.1,groupId=com.openai,packageName=com.openai
+openapi-generator generate -i "$1" -g kotlin  -o ./lib --skip-validate-spec \
+--additional-properties=\
+artifactId=openai-kotlin-client,\
+artifactVersion=0.0.1,\
+groupId=com.openai,\
+packageName=com.openai
 
 cd ./lib
 chmod +x ./gradlew
-./gradlew build
+# will fail until generated code is fixed...
+#./gradlew build
 
-# Fixes (to get to compile):
+# Fixes (to get `./gradlew build` to succeed):
 # 1. AudioApi.kt:
 #   1. change `AudioResponseFormat? = json` to `AudioResponseFormat? = AudioResponseFormat.json`
 #   2. change `timestampGranularities?.value` to `timestampGranularities`
diff --git a/openapi-20250327.yaml b/openapi-20250327.yaml
new file mode 100644
index 00000000..01ec62ad
--- /dev/null
+++ b/openapi-20250327.yaml
@@ -0,0 +1,35805 @@
+openapi: 3.0.0
+info:
+  title: OpenAI API
+  description: The OpenAI REST API. Please see
+    https://platform.openai.com/docs/api-reference for more details.
+  version: 2.3.0
+  termsOfService: https://openai.com/policies/terms-of-use
+  contact:
+    name: OpenAI Support
+    url: https://help.openai.com/
+  license:
+    name: MIT
+    url: https://github.com/openai/openai-openapi/blob/master/LICENSE
+servers:
+  - url: https://api.openai.com/v1
+tags:
+  - name: Assistants
+    description: Build Assistants that can call models and use tools.
+  - name: Audio
+    description: Turn audio into text or text into audio.
+  - name: Chat
+    description:
+      Given a list of messages comprising a conversation, the model will
+      return a response.
+  - name: Completions
+    description: Given a prompt, the model will return one or more predicted
+      completions, and can also return the probabilities of alternative tokens
+      at each position.
+  - name: Embeddings
+    description: Get a vector representation of a given input that can be easily
+      consumed by machine learning models and algorithms.
+  - name: Fine-tuning
+    description: Manage fine-tuning jobs to tailor a model to your specific training data.
+  - name: Batch
+    description: Create large batches of API requests to run asynchronously.
+  - name: Files
+    description:
+      Files are used to upload documents that can be used with features
+      like Assistants and Fine-tuning.
+  - name: Uploads
+    description: Use Uploads to upload large files in multiple parts.
+  - name: Images
+    description: Given a prompt and/or an input image, the model will generate a new image.
+  - name: Models
+    description: List and describe the various models available in the API.
+  - name: Moderations
+    description: Given text and/or image inputs, classifies if those inputs are
+      potentially harmful.
+  - name: Audit Logs
+    description: List user actions and configuration changes within this organization.
+paths:
+  /assistants:
+    get:
+      operationId: listAssistants
+      tags:
+        - Assistants
+      summary: Returns a list of assistants.
+      parameters:
+        - name: limit
+          in: query
+          description: >
+            A limit on the number of objects to be returned. Limit can range
+            between 1 and 100, and the default is 20.
+          required: false
+          schema:
+            type: integer
+            default: 20
+        - name: order
+          in: query
+          description: >
+            Sort order by the `created_at` timestamp of the objects. `asc` for
+            ascending order and `desc` for descending order.
+          schema:
+            type: string
+            default: desc
+            enum:
+              - asc
+              - desc
+        - name: after
+          in: query
+          description: >
+            A cursor for use in pagination. `after` is an object ID that defines
+            your place in the list. For instance, if you make a list request and
+            receive 100 objects, ending with obj_foo, your subsequent call can
+            include after=obj_foo in order to fetch the next page of the list.
+          schema:
+            type: string
+        - name: before
+          in: query
+          description: >
+            A cursor for use in pagination. `before` is an object ID that
+            defines your place in the list. For instance, if you make a list
+            request and receive 100 objects, starting with obj_foo, your
+            subsequent call can include before=obj_foo in order to fetch the
+            previous page of the list.
+          schema:
+            type: string
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ListAssistantsResponse"
+      x-oaiMeta:
+        name: List assistants
+        group: assistants
+        beta: true
+        returns: A list of [assistant](/docs/api-reference/assistants/object) objects.
+        examples:
+          request:
+            curl: |
+              curl "https://api.openai.com/v1/assistants?order=desc&limit=20" \
+                -H "Content-Type: application/json" \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "OpenAI-Beta: assistants=v2"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              my_assistants = client.beta.assistants.list(
+                  order="desc",
+                  limit="20",
+              )
+              print(my_assistants.data)
+            node.js: |-
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const myAssistants = await openai.beta.assistants.list({
+                  order: "desc",
+                  limit: "20",
+                });
+
+                console.log(myAssistants.data);
+              }
+
+              main();
+          response: >
+            {
+              "object": "list",
+              "data": [
+                {
+                  "id": "asst_abc123",
+                  "object": "assistant",
+                  "created_at": 1698982736,
+                  "name": "Coding Tutor",
+                  "description": null,
+                  "model": "gpt-4o",
+                  "instructions": "You are a helpful assistant designed to make me better at coding!",
+                  "tools": [],
+                  "tool_resources": {},
+                  "metadata": {},
+                  "top_p": 1.0,
+                  "temperature": 1.0,
+                  "response_format": "auto"
+                },
+                {
+                  "id": "asst_abc456",
+                  "object": "assistant",
+                  "created_at": 1698982718,
+                  "name": "My Assistant",
+                  "description": null,
+                  "model": "gpt-4o",
+                  "instructions": "You are a helpful assistant designed to make me better at coding!",
+                  "tools": [],
+                  "tool_resources": {},
+                  "metadata": {},
+                  "top_p": 1.0,
+                  "temperature": 1.0,
+                  "response_format": "auto"
+                },
+                {
+                  "id": "asst_abc789",
+                  "object": "assistant",
+                  "created_at": 1698982643,
+                  "name": null,
+                  "description": null,
+                  "model": "gpt-4o",
+                  "instructions": null,
+                  "tools": [],
+                  "tool_resources": {},
+                  "metadata": {},
+                  "top_p": 1.0,
+                  "temperature": 1.0,
+                  "response_format": "auto"
+                }
+              ],
+              "first_id": "asst_abc123",
+              "last_id": "asst_abc789",
+              "has_more": false
+            }
+    post:
+      operationId: createAssistant
+      tags:
+        - Assistants
+      summary: Create an assistant with a model and instructions.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/CreateAssistantRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/AssistantObject"
+      x-oaiMeta:
+        name: Create assistant
+        group: assistants
+        beta: true
+        returns: An [assistant](/docs/api-reference/assistants/object) object.
+        examples:
+          - title: Code Interpreter
+            request:
+              curl: >
+                curl "https://api.openai.com/v1/assistants" \
+                  -H "Content-Type: application/json" \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -H "OpenAI-Beta: assistants=v2" \
+                  -d '{
+                    "instructions": "You are a personal math tutor. When asked a question, write and run Python code to answer the question.",
+                    "name": "Math Tutor",
+                    "tools": [{"type": "code_interpreter"}],
+                    "model": "gpt-4o"
+                  }'
+              python: >
+                from openai import OpenAI
+
+                client = OpenAI()
+
+
+                my_assistant = client.beta.assistants.create(
+                    instructions="You are a personal math tutor. When asked a question, write and run Python code to answer the question.",
+                    name="Math Tutor",
+                    tools=[{"type": "code_interpreter"}],
+                    model="gpt-4o",
+                )
+
+                print(my_assistant)
+              node.js: >-
+                import OpenAI from "openai";
+
+
+                const openai = new OpenAI();
+
+
+                async function main() {
+                  const myAssistant = await openai.beta.assistants.create({
+                    instructions:
+                      "You are a personal math tutor. When asked a question, write and run Python code to answer the question.",
+                    name: "Math Tutor",
+                    tools: [{ type: "code_interpreter" }],
+                    model: "gpt-4o",
+                  });
+
+                  console.log(myAssistant);
+                }
+
+
+                main();
+            response: >
+              {
+                "id": "asst_abc123",
+                "object": "assistant",
+                "created_at": 1698984975,
+                "name": "Math Tutor",
+                "description": null,
+                "model": "gpt-4o",
+                "instructions": "You are a personal math tutor. When asked a question, write and run Python code to answer the question.",
+                "tools": [
+                  {
+                    "type": "code_interpreter"
+                  }
+                ],
+                "metadata": {},
+                "top_p": 1.0,
+                "temperature": 1.0,
+                "response_format": "auto"
+              }
+          - title: Files
+            request:
+              curl: >
+                curl https://api.openai.com/v1/assistants \
+                  -H "Content-Type: application/json" \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -H "OpenAI-Beta: assistants=v2" \
+                  -d '{
+                    "instructions": "You are an HR bot, and you have access to files to answer employee questions about company policies.",
+                    "tools": [{"type": "file_search"}],
+                    "tool_resources": {"file_search": {"vector_store_ids": ["vs_123"]}},
+                    "model": "gpt-4o"
+                  }'
+              python: >
+                from openai import OpenAI
+
+                client = OpenAI()
+
+
+                my_assistant = client.beta.assistants.create(
+                    instructions="You are an HR bot, and you have access to files to answer employee questions about company policies.",
+                    name="HR Helper",
+                    tools=[{"type": "file_search"}],
+                    tool_resources={"file_search": {"vector_store_ids": ["vs_123"]}},
+                    model="gpt-4o"
+                )
+
+                print(my_assistant)
+              node.js: >-
+                import OpenAI from "openai";
+
+
+                const openai = new OpenAI();
+
+
+                async function main() {
+                  const myAssistant = await openai.beta.assistants.create({
+                    instructions:
+                      "You are an HR bot, and you have access to files to answer employee questions about company policies.",
+                    name: "HR Helper",
+                    tools: [{ type: "file_search" }],
+                    tool_resources: {
+                      file_search: {
+                        vector_store_ids: ["vs_123"]
+                      }
+                    },
+                    model: "gpt-4o"
+                  });
+
+                  console.log(myAssistant);
+                }
+
+
+                main();
+            response: >
+              {
+                "id": "asst_abc123",
+                "object": "assistant",
+                "created_at": 1699009403,
+                "name": "HR Helper",
+                "description": null,
+                "model": "gpt-4o",
+                "instructions": "You are an HR bot, and you have access to files to answer employee questions about company policies.",
+                "tools": [
+                  {
+                    "type": "file_search"
+                  }
+                ],
+                "tool_resources": {
+                  "file_search": {
+                    "vector_store_ids": ["vs_123"]
+                  }
+                },
+                "metadata": {},
+                "top_p": 1.0,
+                "temperature": 1.0,
+                "response_format": "auto"
+              }
+  /assistants/{assistant_id}:
+    get:
+      operationId: getAssistant
+      tags:
+        - Assistants
+      summary: Retrieves an assistant.
+      parameters:
+        - in: path
+          name: assistant_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the assistant to retrieve.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/AssistantObject"
+      x-oaiMeta:
+        name: Retrieve assistant
+        group: assistants
+        beta: true
+        returns:
+          The [assistant](/docs/api-reference/assistants/object) object matching
+          the specified ID.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/assistants/asst_abc123 \
+                -H "Content-Type: application/json" \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "OpenAI-Beta: assistants=v2"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              my_assistant = client.beta.assistants.retrieve("asst_abc123")
+              print(my_assistant)
+            node.js: |-
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const myAssistant = await openai.beta.assistants.retrieve(
+                  "asst_abc123"
+                );
+
+                console.log(myAssistant);
+              }
+
+              main();
+          response: >
+            {
+              "id": "asst_abc123",
+              "object": "assistant",
+              "created_at": 1699009709,
+              "name": "HR Helper",
+              "description": null,
+              "model": "gpt-4o",
+              "instructions": "You are an HR bot, and you have access to files to answer employee questions about company policies.",
+              "tools": [
+                {
+                  "type": "file_search"
+                }
+              ],
+              "metadata": {},
+              "top_p": 1.0,
+              "temperature": 1.0,
+              "response_format": "auto"
+            }
+    post:
+      operationId: modifyAssistant
+      tags:
+        - Assistants
+      summary: Modifies an assistant.
+      parameters:
+        - in: path
+          name: assistant_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the assistant to modify.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/ModifyAssistantRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/AssistantObject"
+      x-oaiMeta:
+        name: Modify assistant
+        group: assistants
+        beta: true
+        returns: The modified [assistant](/docs/api-reference/assistants/object) object.
+        examples:
+          request:
+            curl: >
+              curl https://api.openai.com/v1/assistants/asst_abc123 \
+                -H "Content-Type: application/json" \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "OpenAI-Beta: assistants=v2" \
+                -d '{
+                    "instructions": "You are an HR bot, and you have access to files to answer employee questions about company policies. Always response with info from either of the files.",
+                    "tools": [{"type": "file_search"}],
+                    "model": "gpt-4o"
+                  }'
+            python: >
+              from openai import OpenAI
+
+              client = OpenAI()
+
+
+              my_updated_assistant = client.beta.assistants.update(
+                "asst_abc123",
+                instructions="You are an HR bot, and you have access to files to answer employee questions about company policies. Always response with info from either of the files.",
+                name="HR Helper",
+                tools=[{"type": "file_search"}],
+                model="gpt-4o"
+              )
+
+
+              print(my_updated_assistant)
+            node.js: >-
+              import OpenAI from "openai";
+
+
+              const openai = new OpenAI();
+
+
+              async function main() {
+                const myUpdatedAssistant = await openai.beta.assistants.update(
+                  "asst_abc123",
+                  {
+                    instructions:
+                      "You are an HR bot, and you have access to files to answer employee questions about company policies. Always response with info from either of the files.",
+                    name: "HR Helper",
+                    tools: [{ type: "file_search" }],
+                    model: "gpt-4o"
+                  }
+                );
+
+                console.log(myUpdatedAssistant);
+              }
+
+
+              main();
+          response: >
+            {
+              "id": "asst_123",
+              "object": "assistant",
+              "created_at": 1699009709,
+              "name": "HR Helper",
+              "description": null,
+              "model": "gpt-4o",
+              "instructions": "You are an HR bot, and you have access to files to answer employee questions about company policies. Always response with info from either of the files.",
+              "tools": [
+                {
+                  "type": "file_search"
+                }
+              ],
+              "tool_resources": {
+                "file_search": {
+                  "vector_store_ids": []
+                }
+              },
+              "metadata": {},
+              "top_p": 1.0,
+              "temperature": 1.0,
+              "response_format": "auto"
+            }
+    delete:
+      operationId: deleteAssistant
+      tags:
+        - Assistants
+      summary: Delete an assistant.
+      parameters:
+        - in: path
+          name: assistant_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the assistant to delete.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/DeleteAssistantResponse"
+      x-oaiMeta:
+        name: Delete assistant
+        group: assistants
+        beta: true
+        returns: Deletion status
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/assistants/asst_abc123 \
+                -H "Content-Type: application/json" \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "OpenAI-Beta: assistants=v2" \
+                -X DELETE
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              response = client.beta.assistants.delete("asst_abc123")
+              print(response)
+            node.js: >-
+              import OpenAI from "openai";
+
+
+              const openai = new OpenAI();
+
+
+              async function main() {
+                const response = await openai.beta.assistants.del("asst_abc123");
+
+                console.log(response);
+              }
+
+              main();
+          response: |
+            {
+              "id": "asst_abc123",
+              "object": "assistant.deleted",
+              "deleted": true
+            }
+  /audio/speech:
+    post:
+      operationId: createSpeech
+      tags:
+        - Audio
+      summary: Generates audio from the input text.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/CreateSpeechRequest"
+      responses:
+        "200":
+          description: OK
+          headers:
+            Transfer-Encoding:
+              schema:
+                type: string
+              description: chunked
+          content:
+            application/octet-stream:
+              schema:
+                type: string
+                format: binary
+      x-oaiMeta:
+        name: Create speech
+        group: audio
+        returns: The audio file content.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/audio/speech \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -d '{
+                  "model": "gpt-4o-mini-tts",
+                  "input": "The quick brown fox jumped over the lazy dog.",
+                  "voice": "alloy"
+                }' \
+                --output speech.mp3
+            python: |
+              from pathlib import Path
+              import openai
+
+              speech_file_path = Path(__file__).parent / "speech.mp3"
+              response = openai.audio.speech.create(
+                model="gpt-4o-mini-tts",
+                voice="alloy",
+                input="The quick brown fox jumped over the lazy dog."
+              )
+              response.stream_to_file(speech_file_path)
+            javascript: >
+              import fs from "fs";
+
+              import path from "path";
+
+              import OpenAI from "openai";
+
+
+              const openai = new OpenAI();
+
+
+              const speechFile = path.resolve("./speech.mp3");
+
+
+              async function main() {
+                const mp3 = await openai.audio.speech.create({
+                  model: "gpt-4o-mini-tts",
+                  voice: "alloy",
+                  input: "Today is a wonderful day to build something people love!",
+                });
+                console.log(speechFile);
+                const buffer = Buffer.from(await mp3.arrayBuffer());
+                await fs.promises.writeFile(speechFile, buffer);
+              }
+
+              main();
+            csharp: |
+              using System;
+              using System.IO;
+
+              using OpenAI.Audio;
+
+              AudioClient client = new(
+                  model: "gpt-4o-mini-tts",
+                  apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
+              );
+
+              BinaryData speech = client.GenerateSpeech(
+                  text: "The quick brown fox jumped over the lazy dog.",
+                  voice: GeneratedSpeechVoice.Alloy
+              );
+
+              using FileStream stream = File.OpenWrite("speech.mp3");
+              speech.ToStream().CopyTo(stream);
+  /audio/transcriptions:
+    post:
+      operationId: createTranscription
+      tags:
+        - Audio
+      summary: Transcribes audio into the input language.
+      requestBody:
+        required: true
+        content:
+          multipart/form-data:
+            schema:
+              $ref: "#/components/schemas/CreateTranscriptionRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                oneOf:
+                  - $ref: "#/components/schemas/CreateTranscriptionResponseJson"
+                  - $ref: "#/components/schemas/CreateTranscriptionResponseVerboseJson"
+            text/event-stream:
+              schema:
+                $ref: "#/components/schemas/CreateTranscriptionResponseStreamEvent"
+      x-oaiMeta:
+        name: Create transcription
+        group: audio
+        returns:
+          The [transcription object](/docs/api-reference/audio/json-object), a
+          [verbose transcription
+          object](/docs/api-reference/audio/verbose-json-object) or a [stream of
+          transcript
+          events](/docs/api-reference/audio/transcript-text-delta-event).
+        examples:
+          - title: Default
+            request:
+              curl: |
+                curl https://api.openai.com/v1/audio/transcriptions \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -H "Content-Type: multipart/form-data" \
+                  -F file="@/path/to/file/audio.mp3" \
+                  -F model="gpt-4o-transcribe"
+              python: |
+                from openai import OpenAI
+                client = OpenAI()
+
+                audio_file = open("speech.mp3", "rb")
+                transcript = client.audio.transcriptions.create(
+                  model="gpt-4o-transcribe",
+                  file=audio_file
+                )
+              javascript: >
+                import fs from "fs";
+
+                import OpenAI from "openai";
+
+
+                const openai = new OpenAI();
+
+
+                async function main() {
+                  const transcription = await openai.audio.transcriptions.create({
+                    file: fs.createReadStream("audio.mp3"),
+                    model: "gpt-4o-transcribe",
+                  });
+
+                  console.log(transcription.text);
+                }
+
+                main();
+              csharp: >
+                using System;
+
+
+                using OpenAI.Audio;
+
+                string audioFilePath = "audio.mp3";
+
+
+                AudioClient client = new(
+                    model: "gpt-4o-transcribe",
+                    apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
+                );
+
+
+                AudioTranscription transcription =
+                client.TranscribeAudio(audioFilePath);
+
+
+                Console.WriteLine($"{transcription.Text}");
+            response: >
+              {
+                "text": "Imagine the wildest idea that you've ever had, and you're curious about how it might scale to something that's a 100, a 1,000 times bigger. This is a place where you can get to do that."
+              }
+          - title: Streaming
+            request:
+              curl: |
+                curl https://api.openai.com/v1/audio/transcriptions \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -H "Content-Type: multipart/form-data" \
+                  -F file="@/path/to/file/audio.mp3" \
+                  -F model="gpt-4o-mini-transcribe" \
+                  -F stream=true
+              python: |
+                from openai import OpenAI
+                client = OpenAI()
+
+                audio_file = open("speech.mp3", "rb")
+                stream = client.audio.transcriptions.create(
+                  file=audio_file,
+                  model="gpt-4o-mini-transcribe",
+                  stream=True
+                )
+
+                for event in stream:
+                  print(event)
+              javascript: |
+                import fs from "fs";
+                import OpenAI from "openai";
+
+                const openai = new OpenAI();
+
+                const stream = await openai.audio.transcriptions.create({
+                  file: fs.createReadStream("audio.mp3"),
+                  model: "gpt-4o-mini-transcribe",
+                  stream: true,
+                });
+
+                for await (const event of stream) {
+                  console.log(event);
+                }
+            response: >
+              data:
+              {"type":"transcript.text.delta","delta":"I","logprobs":[{"token":"I","logprob":-0.00007588794,"bytes":[73]}]}
+
+
+              data: {"type":"transcript.text.delta","delta":"
+              see","logprobs":[{"token":"
+              see","logprob":-3.1281633e-7,"bytes":[32,115,101,101]}]}
+
+
+              data: {"type":"transcript.text.delta","delta":"
+              skies","logprobs":[{"token":"
+              skies","logprob":-2.3392786e-6,"bytes":[32,115,107,105,101,115]}]}
+
+
+              data: {"type":"transcript.text.delta","delta":"
+              of","logprobs":[{"token":"
+              of","logprob":-3.1281633e-7,"bytes":[32,111,102]}]}
+
+
+              data: {"type":"transcript.text.delta","delta":"
+              blue","logprobs":[{"token":"
+              blue","logprob":-1.0280384e-6,"bytes":[32,98,108,117,101]}]}
+
+
+              data: {"type":"transcript.text.delta","delta":"
+              and","logprobs":[{"token":"
+              and","logprob":-0.0005108566,"bytes":[32,97,110,100]}]}
+
+
+              data: {"type":"transcript.text.delta","delta":"
+              clouds","logprobs":[{"token":"
+              clouds","logprob":-1.9361265e-7,"bytes":[32,99,108,111,117,100,115]}]}
+
+
+              data: {"type":"transcript.text.delta","delta":"
+              of","logprobs":[{"token":"
+              of","logprob":-1.9361265e-7,"bytes":[32,111,102]}]}
+
+
+              data: {"type":"transcript.text.delta","delta":"
+              white","logprobs":[{"token":"
+              white","logprob":-7.89631e-7,"bytes":[32,119,104,105,116,101]}]}
+
+
+              data:
+              {"type":"transcript.text.delta","delta":",","logprobs":[{"token":",","logprob":-0.0014890312,"bytes":[44]}]}
+
+
+              data: {"type":"transcript.text.delta","delta":"
+              the","logprobs":[{"token":"
+              the","logprob":-0.0110956915,"bytes":[32,116,104,101]}]}
+
+
+              data: {"type":"transcript.text.delta","delta":"
+              bright","logprobs":[{"token":"
+              bright","logprob":0.0,"bytes":[32,98,114,105,103,104,116]}]}
+
+
+              data: {"type":"transcript.text.delta","delta":"
+              blessed","logprobs":[{"token":"
+              blessed","logprob":-0.000045848617,"bytes":[32,98,108,101,115,115,101,100]}]}
+
+
+              data: {"type":"transcript.text.delta","delta":"
+              days","logprobs":[{"token":"
+              days","logprob":-0.000010802739,"bytes":[32,100,97,121,115]}]}
+
+
+              data:
+              {"type":"transcript.text.delta","delta":",","logprobs":[{"token":",","logprob":-0.00001700133,"bytes":[44]}]}
+
+
+              data: {"type":"transcript.text.delta","delta":"
+              the","logprobs":[{"token":"
+              the","logprob":-0.0000118755715,"bytes":[32,116,104,101]}]}
+
+
+              data: {"type":"transcript.text.delta","delta":"
+              dark","logprobs":[{"token":"
+              dark","logprob":-5.5122365e-7,"bytes":[32,100,97,114,107]}]}
+
+
+              data: {"type":"transcript.text.delta","delta":"
+              sacred","logprobs":[{"token":"
+              sacred","logprob":-5.4385737e-6,"bytes":[32,115,97,99,114,101,100]}]}
+
+
+              data: {"type":"transcript.text.delta","delta":"
+              nights","logprobs":[{"token":"
+              nights","logprob":-4.00813e-6,"bytes":[32,110,105,103,104,116,115]}]}
+
+
+              data:
+              {"type":"transcript.text.delta","delta":",","logprobs":[{"token":",","logprob":-0.0036910512,"bytes":[44]}]}
+
+
+              data: {"type":"transcript.text.delta","delta":"
+              and","logprobs":[{"token":"
+              and","logprob":-0.0031903093,"bytes":[32,97,110,100]}]}
+
+
+              data: {"type":"transcript.text.delta","delta":"
+              I","logprobs":[{"token":"
+              I","logprob":-1.504853e-6,"bytes":[32,73]}]}
+
+
+              data: {"type":"transcript.text.delta","delta":"
+              think","logprobs":[{"token":"
+              think","logprob":-4.3202e-7,"bytes":[32,116,104,105,110,107]}]}
+
+
+              data: {"type":"transcript.text.delta","delta":"
+              to","logprobs":[{"token":"
+              to","logprob":-1.9361265e-7,"bytes":[32,116,111]}]}
+
+
+              data: {"type":"transcript.text.delta","delta":"
+              myself","logprobs":[{"token":"
+              myself","logprob":-1.7432603e-6,"bytes":[32,109,121,115,101,108,102]}]}
+
+
+              data:
+              {"type":"transcript.text.delta","delta":",","logprobs":[{"token":",","logprob":-0.29254505,"bytes":[44]}]}
+
+
+              data: {"type":"transcript.text.delta","delta":"
+              what","logprobs":[{"token":"
+              what","logprob":-0.016815351,"bytes":[32,119,104,97,116]}]}
+
+
+              data: {"type":"transcript.text.delta","delta":"
+              a","logprobs":[{"token":"
+              a","logprob":-3.1281633e-7,"bytes":[32,97]}]}
+
+
+              data: {"type":"transcript.text.delta","delta":"
+              wonderful","logprobs":[{"token":"
+              wonderful","logprob":-2.1008714e-6,"bytes":[32,119,111,110,100,101,114,102,117,108]}]}
+
+
+              data: {"type":"transcript.text.delta","delta":"
+              world","logprobs":[{"token":"
+              world","logprob":-8.180258e-6,"bytes":[32,119,111,114,108,100]}]}
+
+
+              data:
+              {"type":"transcript.text.delta","delta":".","logprobs":[{"token":".","logprob":-0.014231676,"bytes":[46]}]}
+
+
+              data: {"type":"transcript.text.done","text":"I see skies of blue
+              and clouds of white, the bright blessed days, the dark sacred
+              nights, and I think to myself, what a wonderful
+              world.","logprobs":[{"token":"I","logprob":-0.00007588794,"bytes":[73]},{"token":"
+              see","logprob":-3.1281633e-7,"bytes":[32,115,101,101]},{"token":"
+              skies","logprob":-2.3392786e-6,"bytes":[32,115,107,105,101,115]},{"token":"
+              of","logprob":-3.1281633e-7,"bytes":[32,111,102]},{"token":"
+              blue","logprob":-1.0280384e-6,"bytes":[32,98,108,117,101]},{"token":"
+              and","logprob":-0.0005108566,"bytes":[32,97,110,100]},{"token":"
+              clouds","logprob":-1.9361265e-7,"bytes":[32,99,108,111,117,100,115]},{"token":"
+              of","logprob":-1.9361265e-7,"bytes":[32,111,102]},{"token":"
+              white","logprob":-7.89631e-7,"bytes":[32,119,104,105,116,101]},{"token":",","logprob":-0.0014890312,"bytes":[44]},{"token":"
+              the","logprob":-0.0110956915,"bytes":[32,116,104,101]},{"token":"
+              bright","logprob":0.0,"bytes":[32,98,114,105,103,104,116]},{"token":"
+              blessed","logprob":-0.000045848617,"bytes":[32,98,108,101,115,115,101,100]},{"token":"
+              days","logprob":-0.000010802739,"bytes":[32,100,97,121,115]},{"token":",","logprob":-0.00001700133,"bytes":[44]},{"token":"
+              the","logprob":-0.0000118755715,"bytes":[32,116,104,101]},{"token":"
+              dark","logprob":-5.5122365e-7,"bytes":[32,100,97,114,107]},{"token":"
+              sacred","logprob":-5.4385737e-6,"bytes":[32,115,97,99,114,101,100]},{"token":"
+              nights","logprob":-4.00813e-6,"bytes":[32,110,105,103,104,116,115]},{"token":",","logprob":-0.0036910512,"bytes":[44]},{"token":"
+              and","logprob":-0.0031903093,"bytes":[32,97,110,100]},{"token":"
+              I","logprob":-1.504853e-6,"bytes":[32,73]},{"token":"
+              think","logprob":-4.3202e-7,"bytes":[32,116,104,105,110,107]},{"token":"
+              to","logprob":-1.9361265e-7,"bytes":[32,116,111]},{"token":"
+              myself","logprob":-1.7432603e-6,"bytes":[32,109,121,115,101,108,102]},{"token":",","logprob":-0.29254505,"bytes":[44]},{"token":"
+              what","logprob":-0.016815351,"bytes":[32,119,104,97,116]},{"token":"
+              a","logprob":-3.1281633e-7,"bytes":[32,97]},{"token":"
+              wonderful","logprob":-2.1008714e-6,"bytes":[32,119,111,110,100,101,114,102,117,108]},{"token":"
+              world","logprob":-8.180258e-6,"bytes":[32,119,111,114,108,100]},{"token":".","logprob":-0.014231676,"bytes":[46]}]}
+          - title: Logprobs
+            request:
+              curl: |
+                curl https://api.openai.com/v1/audio/transcriptions \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -H "Content-Type: multipart/form-data" \
+                  -F file="@/path/to/file/audio.mp3" \
+                  -F "include[]=logprobs" \
+                  -F model="gpt-4o-transcribe" \
+                  -F response_format="json"
+              python: |
+                from openai import OpenAI
+                client = OpenAI()
+
+                audio_file = open("speech.mp3", "rb")
+                transcript = client.audio.transcriptions.create(
+                  file=audio_file,
+                  model="gpt-4o-transcribe",
+                  response_format="json",
+                  include=["logprobs"]
+                )
+
+                print(transcript)
+              javascript: >
+                import fs from "fs";
+
+                import OpenAI from "openai";
+
+
+                const openai = new OpenAI();
+
+
+                async function main() {
+                  const transcription = await openai.audio.transcriptions.create({
+                    file: fs.createReadStream("audio.mp3"),
+                    model: "gpt-4o-transcribe",
+                    response_format: "json",
+                    include: ["logprobs"]
+                  });
+
+                  console.log(transcription);
+                }
+
+                main();
+            response: >
+              {
+                "text": "Hey, my knee is hurting and I want to see the doctor tomorrow ideally.",
+                "logprobs": [
+                  { "token": "Hey", "logprob": -1.0415299, "bytes": [72, 101, 121] },
+                  { "token": ",", "logprob": -9.805982e-5, "bytes": [44] },
+                  { "token": " my", "logprob": -0.00229799, "bytes": [32, 109, 121] },
+                  {
+                    "token": " knee",
+                    "logprob": -4.7159858e-5,
+                    "bytes": [32, 107, 110, 101, 101]
+                  },
+                  { "token": " is", "logprob": -0.043909557, "bytes": [32, 105, 115] },
+                  {
+                    "token": " hurting",
+                    "logprob": -1.1041146e-5,
+                    "bytes": [32, 104, 117, 114, 116, 105, 110, 103]
+                  },
+                  { "token": " and", "logprob": -0.011076359, "bytes": [32, 97, 110, 100] },
+                  { "token": " I", "logprob": -5.3193703e-6, "bytes": [32, 73] },
+                  {
+                    "token": " want",
+                    "logprob": -0.0017156356,
+                    "bytes": [32, 119, 97, 110, 116]
+                  },
+                  { "token": " to", "logprob": -7.89631e-7, "bytes": [32, 116, 111] },
+                  { "token": " see", "logprob": -5.5122365e-7, "bytes": [32, 115, 101, 101] },
+                  { "token": " the", "logprob": -0.0040786397, "bytes": [32, 116, 104, 101] },
+                  {
+                    "token": " doctor",
+                    "logprob": -2.3392786e-6,
+                    "bytes": [32, 100, 111, 99, 116, 111, 114]
+                  },
+                  {
+                    "token": " tomorrow",
+                    "logprob": -7.89631e-7,
+                    "bytes": [32, 116, 111, 109, 111, 114, 114, 111, 119]
+                  },
+                  {
+                    "token": " ideally",
+                    "logprob": -0.5800861,
+                    "bytes": [32, 105, 100, 101, 97, 108, 108, 121]
+                  },
+                  { "token": ".", "logprob": -0.00011093382, "bytes": [46] }
+                ]
+              }
+          - title: Word timestamps
+            request:
+              curl: |
+                curl https://api.openai.com/v1/audio/transcriptions \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -H "Content-Type: multipart/form-data" \
+                  -F file="@/path/to/file/audio.mp3" \
+                  -F "timestamp_granularities[]=word" \
+                  -F model="whisper-1" \
+                  -F response_format="verbose_json"
+              python: |
+                from openai import OpenAI
+                client = OpenAI()
+
+                audio_file = open("speech.mp3", "rb")
+                transcript = client.audio.transcriptions.create(
+                  file=audio_file,
+                  model="whisper-1",
+                  response_format="verbose_json",
+                  timestamp_granularities=["word"]
+                )
+
+                print(transcript.words)
+              javascript: >
+                import fs from "fs";
+
+                import OpenAI from "openai";
+
+
+                const openai = new OpenAI();
+
+
+                async function main() {
+                  const transcription = await openai.audio.transcriptions.create({
+                    file: fs.createReadStream("audio.mp3"),
+                    model: "whisper-1",
+                    response_format: "verbose_json",
+                    timestamp_granularities: ["word"]
+                  });
+
+                  console.log(transcription.text);
+                }
+
+                main();
+              csharp: >
+                using System;
+
+
+                using OpenAI.Audio;
+
+
+                string audioFilePath = "audio.mp3";
+
+
+                AudioClient client = new(
+                    model: "whisper-1",
+                    apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
+                );
+
+
+                AudioTranscriptionOptions options = new()
+
+                {
+                    ResponseFormat = AudioTranscriptionFormat.Verbose,
+                    TimestampGranularities = AudioTimestampGranularities.Word,
+                };
+
+
+                AudioTranscription transcription =
+                client.TranscribeAudio(audioFilePath, options);
+
+
+                Console.WriteLine($"{transcription.Text}");
+            response: >
+              {
+                "task": "transcribe",
+                "language": "english",
+                "duration": 8.470000267028809,
+                "text": "The beach was a popular spot on a hot summer day. People were swimming in the ocean, building sandcastles, and playing beach volleyball.",
+                "words": [
+                  {
+                    "word": "The",
+                    "start": 0.0,
+                    "end": 0.23999999463558197
+                  },
+                  ...
+                  {
+                    "word": "volleyball",
+                    "start": 7.400000095367432,
+                    "end": 7.900000095367432
+                  }
+                ]
+              }
+          - title: Segment timestamps
+            request:
+              curl: |
+                curl https://api.openai.com/v1/audio/transcriptions \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -H "Content-Type: multipart/form-data" \
+                  -F file="@/path/to/file/audio.mp3" \
+                  -F "timestamp_granularities[]=segment" \
+                  -F model="whisper-1" \
+                  -F response_format="verbose_json"
+              python: |
+                from openai import OpenAI
+                client = OpenAI()
+
+                audio_file = open("speech.mp3", "rb")
+                transcript = client.audio.transcriptions.create(
+                  file=audio_file,
+                  model="whisper-1",
+                  response_format="verbose_json",
+                  timestamp_granularities=["segment"]
+                )
+
+                print(transcript.words)
+              javascript: >
+                import fs from "fs";
+
+                import OpenAI from "openai";
+
+
+                const openai = new OpenAI();
+
+
+                async function main() {
+                  const transcription = await openai.audio.transcriptions.create({
+                    file: fs.createReadStream("audio.mp3"),
+                    model: "whisper-1",
+                    response_format: "verbose_json",
+                    timestamp_granularities: ["segment"]
+                  });
+
+                  console.log(transcription.text);
+                }
+
+                main();
+              csharp: >
+                using System;
+
+
+                using OpenAI.Audio;
+
+
+                string audioFilePath = "audio.mp3";
+
+
+                AudioClient client = new(
+                    model: "whisper-1",
+                    apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
+                );
+
+
+                AudioTranscriptionOptions options = new()
+
+                {
+                    ResponseFormat = AudioTranscriptionFormat.Verbose,
+                    TimestampGranularities = AudioTimestampGranularities.Segment,
+                };
+
+
+                AudioTranscription transcription =
+                client.TranscribeAudio(audioFilePath, options);
+
+
+                Console.WriteLine($"{transcription.Text}");
+            response: >
+              {
+                "task": "transcribe",
+                "language": "english",
+                "duration": 8.470000267028809,
+                "text": "The beach was a popular spot on a hot summer day. People were swimming in the ocean, building sandcastles, and playing beach volleyball.",
+                "segments": [
+                  {
+                    "id": 0,
+                    "seek": 0,
+                    "start": 0.0,
+                    "end": 3.319999933242798,
+                    "text": " The beach was a popular spot on a hot summer day.",
+                    "tokens": [
+                      50364, 440, 7534, 390, 257, 3743, 4008, 322, 257, 2368, 4266, 786, 13, 50530
+                    ],
+                    "temperature": 0.0,
+                    "avg_logprob": -0.2860786020755768,
+                    "compression_ratio": 1.2363636493682861,
+                    "no_speech_prob": 0.00985979475080967
+                  },
+                  ...
+                ]
+              }
+  /audio/translations:
+    post:
+      operationId: createTranslation
+      tags:
+        - Audio
+      summary: Translates audio into English.
+      requestBody:
+        required: true
+        content:
+          multipart/form-data:
+            schema:
+              $ref: "#/components/schemas/CreateTranslationRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                oneOf:
+                  - $ref: "#/components/schemas/CreateTranslationResponseJson"
+                  - $ref: "#/components/schemas/CreateTranslationResponseVerboseJson"
+      x-oaiMeta:
+        name: Create translation
+        group: audio
+        returns: The translated text.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/audio/translations \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: multipart/form-data" \
+                -F file="@/path/to/file/german.m4a" \
+                -F model="whisper-1"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              audio_file = open("speech.mp3", "rb")
+              transcript = client.audio.translations.create(
+                model="whisper-1",
+                file=audio_file
+              )
+            javascript: |
+              import fs from "fs";
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                  const translation = await openai.audio.translations.create({
+                      file: fs.createReadStream("speech.mp3"),
+                      model: "whisper-1",
+                  });
+
+                  console.log(translation.text);
+              }
+              main();
+            csharp: >
+              using System;
+
+
+              using OpenAI.Audio;
+
+
+              string audioFilePath = "audio.mp3";
+
+
+              AudioClient client = new(
+                  model: "whisper-1",
+                  apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
+              );
+
+
+              AudioTranscription transcription =
+              client.TranscribeAudio(audioFilePath);
+
+
+              Console.WriteLine($"{transcription.Text}");
+          response: >
+            {
+              "text": "Hello, my name is Wolfgang and I come from Germany. Where are you heading today?"
+            }
+  /batches:
+    post:
+      summary: Creates and executes a batch from an uploaded file of requests
+      operationId: createBatch
+      tags:
+        - Batch
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              type: object
+              required:
+                - input_file_id
+                - endpoint
+                - completion_window
+              properties:
+                input_file_id:
+                  type: string
+                  description: >
+                    The ID of an uploaded file that contains requests for the
+                    new batch.
+
+
+                    See [upload file](/docs/api-reference/files/create) for how
+                    to upload a file.
+
+
+                    Your input file must be formatted as a [JSONL
+                    file](/docs/api-reference/batch/request-input), and must be
+                    uploaded with the purpose `batch`. The file can contain up
+                    to 50,000 requests, and can be up to 200 MB in size.
+                endpoint:
+                  type: string
+                  enum:
+                    - /v1/responses
+                    - /v1/chat/completions
+                    - /v1/embeddings
+                    - /v1/completions
+                  description:
+                    The endpoint to be used for all requests in the batch. Currently
+                    `/v1/responses`, `/v1/chat/completions`, `/v1/embeddings`,
+                    and `/v1/completions` are supported. Note that
+                    `/v1/embeddings` batches are also restricted to a maximum of
+                    50,000 embedding inputs across all requests in the batch.
+                completion_window:
+                  type: string
+                  enum:
+                    - 24h
+                  description:
+                    The time frame within which the batch should be processed.
+                    Currently only `24h` is supported.
+                metadata:
+                  $ref: "#/components/schemas/Metadata"
+      responses:
+        "200":
+          description: Batch created successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/Batch"
+      x-oaiMeta:
+        name: Create batch
+        group: batch
+        returns: The created [Batch](/docs/api-reference/batch/object) object.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/batches \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -d '{
+                  "input_file_id": "file-abc123",
+                  "endpoint": "/v1/chat/completions",
+                  "completion_window": "24h"
+                }'
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.batches.create(
+                input_file_id="file-abc123",
+                endpoint="/v1/chat/completions",
+                completion_window="24h"
+              )
+            node: |
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const batch = await openai.batches.create({
+                  input_file_id: "file-abc123",
+                  endpoint: "/v1/chat/completions",
+                  completion_window: "24h"
+                });
+
+                console.log(batch);
+              }
+
+              main();
+          response: |
+            {
+              "id": "batch_abc123",
+              "object": "batch",
+              "endpoint": "/v1/chat/completions",
+              "errors": null,
+              "input_file_id": "file-abc123",
+              "completion_window": "24h",
+              "status": "validating",
+              "output_file_id": null,
+              "error_file_id": null,
+              "created_at": 1711471533,
+              "in_progress_at": null,
+              "expires_at": null,
+              "finalizing_at": null,
+              "completed_at": null,
+              "failed_at": null,
+              "expired_at": null,
+              "cancelling_at": null,
+              "cancelled_at": null,
+              "request_counts": {
+                "total": 0,
+                "completed": 0,
+                "failed": 0
+              },
+              "metadata": {
+                "customer_id": "user_123456789",
+                "batch_description": "Nightly eval job",
+              }
+            }
+    get:
+      operationId: listBatches
+      tags:
+        - Batch
+      summary: List your organization's batches.
+      parameters:
+        - in: query
+          name: after
+          required: false
+          schema:
+            type: string
+          description: >
+            A cursor for use in pagination. `after` is an object ID that defines
+            your place in the list. For instance, if you make a list request and
+            receive 100 objects, ending with obj_foo, your subsequent call can
+            include after=obj_foo in order to fetch the next page of the list.
+        - name: limit
+          in: query
+          description: >
+            A limit on the number of objects to be returned. Limit can range
+            between 1 and 100, and the default is 20.
+          required: false
+          schema:
+            type: integer
+            default: 20
+      responses:
+        "200":
+          description: Batch listed successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ListBatchesResponse"
+      x-oaiMeta:
+        name: List batch
+        group: batch
+        returns: A list of paginated [Batch](/docs/api-reference/batch/object) objects.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/batches?limit=2 \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.batches.list()
+            node: |
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const list = await openai.batches.list();
+
+                for await (const batch of list) {
+                  console.log(batch);
+                }
+              }
+
+              main();
+          response: |
+            {
+              "object": "list",
+              "data": [
+                {
+                  "id": "batch_abc123",
+                  "object": "batch",
+                  "endpoint": "/v1/chat/completions",
+                  "errors": null,
+                  "input_file_id": "file-abc123",
+                  "completion_window": "24h",
+                  "status": "completed",
+                  "output_file_id": "file-cvaTdG",
+                  "error_file_id": "file-HOWS94",
+                  "created_at": 1711471533,
+                  "in_progress_at": 1711471538,
+                  "expires_at": 1711557933,
+                  "finalizing_at": 1711493133,
+                  "completed_at": 1711493163,
+                  "failed_at": null,
+                  "expired_at": null,
+                  "cancelling_at": null,
+                  "cancelled_at": null,
+                  "request_counts": {
+                    "total": 100,
+                    "completed": 95,
+                    "failed": 5
+                  },
+                  "metadata": {
+                    "customer_id": "user_123456789",
+                    "batch_description": "Nightly job",
+                  }
+                },
+                { ... },
+              ],
+              "first_id": "batch_abc123",
+              "last_id": "batch_abc456",
+              "has_more": true
+            }
+  /batches/{batch_id}:
+    get:
+      operationId: retrieveBatch
+      tags:
+        - Batch
+      summary: Retrieves a batch.
+      parameters:
+        - in: path
+          name: batch_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the batch to retrieve.
+      responses:
+        "200":
+          description: Batch retrieved successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/Batch"
+      x-oaiMeta:
+        name: Retrieve batch
+        group: batch
+        returns:
+          The [Batch](/docs/api-reference/batch/object) object matching the
+          specified ID.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/batches/batch_abc123 \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.batches.retrieve("batch_abc123")
+            node: |
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const batch = await openai.batches.retrieve("batch_abc123");
+
+                console.log(batch);
+              }
+
+              main();
+          response: |
+            {
+              "id": "batch_abc123",
+              "object": "batch",
+              "endpoint": "/v1/completions",
+              "errors": null,
+              "input_file_id": "file-abc123",
+              "completion_window": "24h",
+              "status": "completed",
+              "output_file_id": "file-cvaTdG",
+              "error_file_id": "file-HOWS94",
+              "created_at": 1711471533,
+              "in_progress_at": 1711471538,
+              "expires_at": 1711557933,
+              "finalizing_at": 1711493133,
+              "completed_at": 1711493163,
+              "failed_at": null,
+              "expired_at": null,
+              "cancelling_at": null,
+              "cancelled_at": null,
+              "request_counts": {
+                "total": 100,
+                "completed": 95,
+                "failed": 5
+              },
+              "metadata": {
+                "customer_id": "user_123456789",
+                "batch_description": "Nightly eval job",
+              }
+            }
+  /batches/{batch_id}/cancel:
+    post:
+      operationId: cancelBatch
+      tags:
+        - Batch
+      summary:
+        Cancels an in-progress batch. The batch will be in status `cancelling`
+        for up to 10 minutes, before changing to `cancelled`, where it will have
+        partial results (if any) available in the output file.
+      parameters:
+        - in: path
+          name: batch_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the batch to cancel.
+      responses:
+        "200":
+          description: Batch is cancelling. Returns the cancelling batch's details.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/Batch"
+      x-oaiMeta:
+        name: Cancel batch
+        group: batch
+        returns:
+          The [Batch](/docs/api-reference/batch/object) object matching the
+          specified ID.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/batches/batch_abc123/cancel \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -X POST
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.batches.cancel("batch_abc123")
+            node: |
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const batch = await openai.batches.cancel("batch_abc123");
+
+                console.log(batch);
+              }
+
+              main();
+          response: |
+            {
+              "id": "batch_abc123",
+              "object": "batch",
+              "endpoint": "/v1/chat/completions",
+              "errors": null,
+              "input_file_id": "file-abc123",
+              "completion_window": "24h",
+              "status": "cancelling",
+              "output_file_id": null,
+              "error_file_id": null,
+              "created_at": 1711471533,
+              "in_progress_at": 1711471538,
+              "expires_at": 1711557933,
+              "finalizing_at": null,
+              "completed_at": null,
+              "failed_at": null,
+              "expired_at": null,
+              "cancelling_at": 1711475133,
+              "cancelled_at": null,
+              "request_counts": {
+                "total": 100,
+                "completed": 23,
+                "failed": 1
+              },
+              "metadata": {
+                "customer_id": "user_123456789",
+                "batch_description": "Nightly eval job",
+              }
+            }
+  /chat/completions:
+    get:
+      operationId: listChatCompletions
+      tags:
+        - Chat
+      summary: >
+        List stored Chat Completions. Only Chat Completions that have been
+        stored
+
+        with the `store` parameter set to `true` will be returned.
+      parameters:
+        - name: model
+          in: query
+          description: The model used to generate the Chat Completions.
+          required: false
+          schema:
+            type: string
+        - name: metadata
+          in: query
+          description: |
+            A list of metadata keys to filter the Chat Completions by. Example:
+
+            `metadata[key1]=value1&metadata[key2]=value2`
+          required: false
+          schema:
+            $ref: "#/components/schemas/Metadata"
+        - name: after
+          in: query
+          description: Identifier for the last chat completion from the previous
+            pagination request.
+          required: false
+          schema:
+            type: string
+        - name: limit
+          in: query
+          description: Number of Chat Completions to retrieve.
+          required: false
+          schema:
+            type: integer
+            default: 20
+        - name: order
+          in: query
+          description:
+            Sort order for Chat Completions by timestamp. Use `asc` for
+            ascending order or `desc` for descending order. Defaults to `asc`.
+          required: false
+          schema:
+            type: string
+            enum:
+              - asc
+              - desc
+            default: asc
+      responses:
+        "200":
+          description: A list of Chat Completions
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ChatCompletionList"
+      x-oaiMeta:
+        name: List Chat Completions
+        group: chat
+        returns:
+          A list of [Chat Completions](/docs/api-reference/chat/list-object)
+          matching the specified filters.
+        path: list
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/chat/completions \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              completions = client.chat.completions.list()
+              print(completions)
+          response: >
+            {
+              "object": "list",
+              "data": [
+                {
+                  "object": "chat.completion",
+                  "id": "chatcmpl-AyPNinnUqUDYo9SAdA52NobMflmj2",
+                  "model": "gpt-4o-2024-08-06",
+                  "created": 1738960610,
+                  "request_id": "req_ded8ab984ec4bf840f37566c1011c417",
+                  "tool_choice": null,
+                  "usage": {
+                    "total_tokens": 31,
+                    "completion_tokens": 18,
+                    "prompt_tokens": 13
+                  },
+                  "seed": 4944116822809979520,
+                  "top_p": 1.0,
+                  "temperature": 1.0,
+                  "presence_penalty": 0.0,
+                  "frequency_penalty": 0.0,
+                  "system_fingerprint": "fp_50cad350e4",
+                  "input_user": null,
+                  "service_tier": "default",
+                  "tools": null,
+                  "metadata": {},
+                  "choices": [
+                    {
+                      "index": 0,
+                      "message": {
+                        "content": "Mind of circuits hum,  \nLearning patterns in silence—  \nFuture's quiet spark.",
+                        "role": "assistant",
+                        "tool_calls": null,
+                        "function_call": null
+                      },
+                      "finish_reason": "stop",
+                      "logprobs": null
+                    }
+                  ],
+                  "response_format": null
+                }
+              ],
+              "first_id": "chatcmpl-AyPNinnUqUDYo9SAdA52NobMflmj2",
+              "last_id": "chatcmpl-AyPNinnUqUDYo9SAdA52NobMflmj2",
+              "has_more": false
+            }
+    post:
+      operationId: createChatCompletion
+      tags:
+        - Chat
+      summary: >
+        **Starting a new project?** We recommend trying
+        [Responses](/docs/api-reference/responses) 
+
+        to take advantage of the latest OpenAI platform features. Compare
+
+        [Chat Completions with
+        Responses](/docs/guides/responses-vs-chat-completions?api-mode=responses).
+
+
+        ---
+
+
+        Creates a model response for the given chat conversation. Learn more in
+        the
+
+        [text generation](/docs/guides/text-generation),
+        [vision](/docs/guides/vision),
+
+        and [audio](/docs/guides/audio) guides.
+
+
+        Parameter support can differ depending on the model used to generate the
+
+        response, particularly for newer reasoning models. Parameters that are
+        only
+
+        supported for reasoning models are noted below. For the current state
+        of 
+
+        unsupported parameters in reasoning models, 
+
+        [refer to the reasoning guide](/docs/guides/reasoning).
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/CreateChatCompletionRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/CreateChatCompletionResponse"
+            text/event-stream:
+              schema:
+                $ref: "#/components/schemas/CreateChatCompletionStreamResponse"
+      x-oaiMeta:
+        name: Create chat completion
+        group: chat
+        returns: >
+          Returns a [chat completion](/docs/api-reference/chat/object) object,
+          or a streamed sequence of [chat completion
+          chunk](/docs/api-reference/chat/streaming) objects if the request is
+          streamed.
+        path: create
+        examples:
+          - title: Default
+            request:
+              curl: |
+                curl https://api.openai.com/v1/chat/completions \
+                  -H "Content-Type: application/json" \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -d '{
+                    "model": "VAR_chat_model_id",
+                    "messages": [
+                      {
+                        "role": "developer",
+                        "content": "You are a helpful assistant."
+                      },
+                      {
+                        "role": "user",
+                        "content": "Hello!"
+                      }
+                    ]
+                  }'
+              python: >
+                from openai import OpenAI
+
+                client = OpenAI()
+
+
+                completion = client.chat.completions.create(
+                  model="VAR_chat_model_id",
+                  messages=[
+                    {"role": "developer", "content": "You are a helpful assistant."},
+                    {"role": "user", "content": "Hello!"}
+                  ]
+                )
+
+
+                print(completion.choices[0].message)
+              node.js: >
+                import OpenAI from "openai";
+
+
+                const openai = new OpenAI();
+
+
+                async function main() {
+                  const completion = await openai.chat.completions.create({
+                    messages: [{ role: "developer", content: "You are a helpful assistant." }],
+                    model: "VAR_chat_model_id",
+                    store: true,
+                  });
+
+                  console.log(completion.choices[0]);
+                }
+
+
+                main();
+              csharp: |
+                using System;
+                using System.Collections.Generic;
+
+                using OpenAI.Chat;
+
+                ChatClient client = new(
+                    model: "gpt-4o",
+                    apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
+                );
+
+                List<ChatMessage> messages =
+                [
+                    new SystemChatMessage("You are a helpful assistant."),
+                    new UserChatMessage("Hello!")
+                ];
+
+                ChatCompletion completion = client.CompleteChat(messages);
+
+                Console.WriteLine(completion.Content[0].Text);
+            response: |
+              {
+                "id": "chatcmpl-B9MBs8CjcvOU2jLn4n570S5qMJKcT",
+                "object": "chat.completion",
+                "created": 1741569952,
+                "model": "gpt-4o-2024-08-06",
+                "choices": [
+                  {
+                    "index": 0,
+                    "message": {
+                      "role": "assistant",
+                      "content": "Hello! How can I assist you today?",
+                      "refusal": null,
+                      "annotations": []
+                    },
+                    "logprobs": null,
+                    "finish_reason": "stop"
+                  }
+                ],
+                "usage": {
+                  "prompt_tokens": 19,
+                  "completion_tokens": 10,
+                  "total_tokens": 29,
+                  "prompt_tokens_details": {
+                    "cached_tokens": 0,
+                    "audio_tokens": 0
+                  },
+                  "completion_tokens_details": {
+                    "reasoning_tokens": 0,
+                    "audio_tokens": 0,
+                    "accepted_prediction_tokens": 0,
+                    "rejected_prediction_tokens": 0
+                  }
+                },
+                "service_tier": "default"
+              }
+          - title: Image input
+            request:
+              curl: >
+                curl https://api.openai.com/v1/chat/completions \
+                  -H "Content-Type: application/json" \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -d '{
+                    "model": "gpt-4o",
+                    "messages": [
+                      {
+                        "role": "user",
+                        "content": [
+                          {
+                            "type": "text",
+                            "text": "What is in this image?"
+                          },
+                          {
+                            "type": "image_url",
+                            "image_url": {
+                              "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
+                            }
+                          }
+                        ]
+                      }
+                    ],
+                    "max_tokens": 300
+                  }'
+              python: >
+                from openai import OpenAI
+
+
+                client = OpenAI()
+
+
+                response = client.chat.completions.create(
+                    model="gpt-4o",
+                    messages=[
+                        {
+                            "role": "user",
+                            "content": [
+                                {"type": "text", "text": "What's in this image?"},
+                                {
+                                    "type": "image_url",
+                                    "image_url": {
+                                        "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg",
+                                    }
+                                },
+                            ],
+                        }
+                    ],
+                    max_tokens=300,
+                )
+
+
+                print(response.choices[0])
+              node.js: >
+                import OpenAI from "openai";
+
+
+                const openai = new OpenAI();
+
+
+                async function main() {
+                  const response = await openai.chat.completions.create({
+                    model: "gpt-4o",
+                    messages: [
+                      {
+                        role: "user",
+                        content: [
+                          { type: "text", text: "What's in this image?" },
+                          {
+                            type: "image_url",
+                            image_url: {
+                              "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg",
+                            },
+                          }
+                        ],
+                      },
+                    ],
+                  });
+                  console.log(response.choices[0]);
+                }
+
+                main();
+              csharp: >
+                using System;
+
+                using System.Collections.Generic;
+
+
+                using OpenAI.Chat;
+
+
+                ChatClient client = new(
+                    model: "gpt-4o",
+                    apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
+                );
+
+
+                List<ChatMessage> messages =
+
+                [
+                    new UserChatMessage(
+                    [
+                        ChatMessageContentPart.CreateTextPart("What's in this image?"),
+                        ChatMessageContentPart.CreateImagePart(new Uri("https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"))
+                    ])
+                ];
+
+
+                ChatCompletion completion = client.CompleteChat(messages);
+
+
+                Console.WriteLine(completion.Content[0].Text);
+            response: >
+              {
+                "id": "chatcmpl-B9MHDbslfkBeAs8l4bebGdFOJ6PeG",
+                "object": "chat.completion",
+                "created": 1741570283,
+                "model": "gpt-4o-2024-08-06",
+                "choices": [
+                  {
+                    "index": 0,
+                    "message": {
+                      "role": "assistant",
+                      "content": "The image shows a wooden boardwalk path running through a lush green field or meadow. The sky is bright blue with some scattered clouds, giving the scene a serene and peaceful atmosphere. Trees and shrubs are visible in the background.",
+                      "refusal": null,
+                      "annotations": []
+                    },
+                    "logprobs": null,
+                    "finish_reason": "stop"
+                  }
+                ],
+                "usage": {
+                  "prompt_tokens": 1117,
+                  "completion_tokens": 46,
+                  "total_tokens": 1163,
+                  "prompt_tokens_details": {
+                    "cached_tokens": 0,
+                    "audio_tokens": 0
+                  },
+                  "completion_tokens_details": {
+                    "reasoning_tokens": 0,
+                    "audio_tokens": 0,
+                    "accepted_prediction_tokens": 0,
+                    "rejected_prediction_tokens": 0
+                  }
+                },
+                "service_tier": "default"
+              }
+          - title: Streaming
+            request:
+              curl: |
+                curl https://api.openai.com/v1/chat/completions \
+                  -H "Content-Type: application/json" \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -d '{
+                    "model": "VAR_chat_model_id",
+                    "messages": [
+                      {
+                        "role": "developer",
+                        "content": "You are a helpful assistant."
+                      },
+                      {
+                        "role": "user",
+                        "content": "Hello!"
+                      }
+                    ],
+                    "stream": true
+                  }'
+              python: >
+                from openai import OpenAI
+
+                client = OpenAI()
+
+
+                completion = client.chat.completions.create(
+                  model="VAR_chat_model_id",
+                  messages=[
+                    {"role": "developer", "content": "You are a helpful assistant."},
+                    {"role": "user", "content": "Hello!"}
+                  ],
+                  stream=True
+                )
+
+
+                for chunk in completion:
+                  print(chunk.choices[0].delta)
+              node.js: >
+                import OpenAI from "openai";
+
+
+                const openai = new OpenAI();
+
+
+                async function main() {
+                  const completion = await openai.chat.completions.create({
+                    model: "VAR_chat_model_id",
+                    messages: [
+                      {"role": "developer", "content": "You are a helpful assistant."},
+                      {"role": "user", "content": "Hello!"}
+                    ],
+                    stream: true,
+                  });
+
+                  for await (const chunk of completion) {
+                    console.log(chunk.choices[0].delta.content);
+                  }
+                }
+
+
+                main();
+              csharp: >
+                using System;
+
+                using System.ClientModel;
+
+                using System.Collections.Generic;
+
+                using System.Threading.Tasks;
+
+
+                using OpenAI.Chat;
+
+
+                ChatClient client = new(
+                    model: "gpt-4o",
+                    apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
+                );
+
+
+                List<ChatMessage> messages =
+
+                [
+                    new SystemChatMessage("You are a helpful assistant."),
+                    new UserChatMessage("Hello!")
+                ];
+
+
+                AsyncCollectionResult<StreamingChatCompletionUpdate>
+                completionUpdates = client.CompleteChatStreamingAsync(messages);
+
+
+                await foreach (StreamingChatCompletionUpdate completionUpdate in
+                completionUpdates)
+
+                {
+                    if (completionUpdate.ContentUpdate.Count > 0)
+                    {
+                        Console.Write(completionUpdate.ContentUpdate[0].Text);
+                    }
+                }
+            response: >
+              {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-4o-mini",
+              "system_fingerprint": "fp_44709d6fcb",
+              "choices":[{"index":0,"delta":{"role":"assistant","content":""},"logprobs":null,"finish_reason":null}]}
+
+
+              {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-4o-mini",
+              "system_fingerprint": "fp_44709d6fcb",
+              "choices":[{"index":0,"delta":{"content":"Hello"},"logprobs":null,"finish_reason":null}]}
+
+
+              ....
+
+
+              {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-4o-mini",
+              "system_fingerprint": "fp_44709d6fcb",
+              "choices":[{"index":0,"delta":{},"logprobs":null,"finish_reason":"stop"}]}
+          - title: Functions
+            request:
+              curl: >
+                curl https://api.openai.com/v1/chat/completions \
+
+                -H "Content-Type: application/json" \
+
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+
+                -d '{
+                  "model": "gpt-4o",
+                  "messages": [
+                    {
+                      "role": "user",
+                      "content": "What is the weather like in Boston today?"
+                    }
+                  ],
+                  "tools": [
+                    {
+                      "type": "function",
+                      "function": {
+                        "name": "get_current_weather",
+                        "description": "Get the current weather in a given location",
+                        "parameters": {
+                          "type": "object",
+                          "properties": {
+                            "location": {
+                              "type": "string",
+                              "description": "The city and state, e.g. San Francisco, CA"
+                            },
+                            "unit": {
+                              "type": "string",
+                              "enum": ["celsius", "fahrenheit"]
+                            }
+                          },
+                          "required": ["location"]
+                        }
+                      }
+                    }
+                  ],
+                  "tool_choice": "auto"
+                }'
+              python: >
+                from openai import OpenAI
+
+                client = OpenAI()
+
+
+                tools = [
+                  {
+                    "type": "function",
+                    "function": {
+                      "name": "get_current_weather",
+                      "description": "Get the current weather in a given location",
+                      "parameters": {
+                        "type": "object",
+                        "properties": {
+                          "location": {
+                            "type": "string",
+                            "description": "The city and state, e.g. San Francisco, CA",
+                          },
+                          "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
+                        },
+                        "required": ["location"],
+                      },
+                    }
+                  }
+                ]
+
+                messages = [{"role": "user", "content": "What's the weather like
+                in Boston today?"}]
+
+                completion = client.chat.completions.create(
+                  model="VAR_chat_model_id",
+                  messages=messages,
+                  tools=tools,
+                  tool_choice="auto"
+                )
+
+
+                print(completion)
+              node.js: >
+                import OpenAI from "openai";
+
+
+                const openai = new OpenAI();
+
+
+                async function main() {
+                  const messages = [{"role": "user", "content": "What's the weather like in Boston today?"}];
+                  const tools = [
+                      {
+                        "type": "function",
+                        "function": {
+                          "name": "get_current_weather",
+                          "description": "Get the current weather in a given location",
+                          "parameters": {
+                            "type": "object",
+                            "properties": {
+                              "location": {
+                                "type": "string",
+                                "description": "The city and state, e.g. San Francisco, CA",
+                              },
+                              "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
+                            },
+                            "required": ["location"],
+                          },
+                        }
+                      }
+                  ];
+
+                  const response = await openai.chat.completions.create({
+                    model: "gpt-4o",
+                    messages: messages,
+                    tools: tools,
+                    tool_choice: "auto",
+                  });
+
+                  console.log(response);
+                }
+
+
+                main();
+              csharp: >
+                using System;
+
+                using System.Collections.Generic;
+
+
+                using OpenAI.Chat;
+
+
+                ChatClient client = new(
+                    model: "gpt-4o",
+                    apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
+                );
+
+
+                ChatTool getCurrentWeatherTool = ChatTool.CreateFunctionTool(
+                    functionName: "get_current_weather",
+                    functionDescription: "Get the current weather in a given location",
+                    functionParameters: BinaryData.FromString("""
+                        {
+                            "type": "object",
+                            "properties": {
+                                "location": {
+                                    "type": "string",
+                                    "description": "The city and state, e.g. San Francisco, CA"
+                                },
+                                "unit": {
+                                    "type": "string",
+                                    "enum": [ "celsius", "fahrenheit" ]
+                                }
+                            },
+                            "required": [ "location" ]
+                        }
+                    """)
+                );
+
+
+                List<ChatMessage> messages =
+
+                [
+                    new UserChatMessage("What's the weather like in Boston today?"),
+                ];
+
+
+                ChatCompletionOptions options = new()
+
+                {
+                    Tools =
+                    {
+                        getCurrentWeatherTool
+                    },
+                    ToolChoice = ChatToolChoice.CreateAutoChoice(),
+                };
+
+
+                ChatCompletion completion = client.CompleteChat(messages,
+                options);
+            response: |
+              {
+                "id": "chatcmpl-abc123",
+                "object": "chat.completion",
+                "created": 1699896916,
+                "model": "gpt-4o-mini",
+                "choices": [
+                  {
+                    "index": 0,
+                    "message": {
+                      "role": "assistant",
+                      "content": null,
+                      "tool_calls": [
+                        {
+                          "id": "call_abc123",
+                          "type": "function",
+                          "function": {
+                            "name": "get_current_weather",
+                            "arguments": "{\n\"location\": \"Boston, MA\"\n}"
+                          }
+                        }
+                      ]
+                    },
+                    "logprobs": null,
+                    "finish_reason": "tool_calls"
+                  }
+                ],
+                "usage": {
+                  "prompt_tokens": 82,
+                  "completion_tokens": 17,
+                  "total_tokens": 99,
+                  "completion_tokens_details": {
+                    "reasoning_tokens": 0,
+                    "accepted_prediction_tokens": 0,
+                    "rejected_prediction_tokens": 0
+                  }
+                }
+              }
+          - title: Logprobs
+            request:
+              curl: |
+                curl https://api.openai.com/v1/chat/completions \
+                  -H "Content-Type: application/json" \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -d '{
+                    "model": "VAR_chat_model_id",
+                    "messages": [
+                      {
+                        "role": "user",
+                        "content": "Hello!"
+                      }
+                    ],
+                    "logprobs": true,
+                    "top_logprobs": 2
+                  }'
+              python: |
+                from openai import OpenAI
+                client = OpenAI()
+
+                completion = client.chat.completions.create(
+                  model="VAR_chat_model_id",
+                  messages=[
+                    {"role": "user", "content": "Hello!"}
+                  ],
+                  logprobs=True,
+                  top_logprobs=2
+                )
+
+                print(completion.choices[0].message)
+                print(completion.choices[0].logprobs)
+              node.js: |
+                import OpenAI from "openai";
+
+                const openai = new OpenAI();
+
+                async function main() {
+                  const completion = await openai.chat.completions.create({
+                    messages: [{ role: "user", content: "Hello!" }],
+                    model: "VAR_chat_model_id",
+                    logprobs: true,
+                    top_logprobs: 2,
+                  });
+
+                  console.log(completion.choices[0]);
+                }
+
+                main();
+              csharp: >
+                using System;
+
+                using System.Collections.Generic;
+
+
+                using OpenAI.Chat;
+
+
+                ChatClient client = new(
+                    model: "gpt-4o",
+                    apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
+                );
+
+
+                List<ChatMessage> messages =
+
+                [
+                    new UserChatMessage("Hello!")
+                ];
+
+
+                ChatCompletionOptions options = new()
+
+                {
+                    IncludeLogProbabilities = true,
+                    TopLogProbabilityCount = 2
+                };
+
+
+                ChatCompletion completion = client.CompleteChat(messages,
+                options);
+
+
+                Console.WriteLine(completion.Content[0].Text);
+            response: |
+              {
+                "id": "chatcmpl-123",
+                "object": "chat.completion",
+                "created": 1702685778,
+                "model": "gpt-4o-mini",
+                "choices": [
+                  {
+                    "index": 0,
+                    "message": {
+                      "role": "assistant",
+                      "content": "Hello! How can I assist you today?"
+                    },
+                    "logprobs": {
+                      "content": [
+                        {
+                          "token": "Hello",
+                          "logprob": -0.31725305,
+                          "bytes": [72, 101, 108, 108, 111],
+                          "top_logprobs": [
+                            {
+                              "token": "Hello",
+                              "logprob": -0.31725305,
+                              "bytes": [72, 101, 108, 108, 111]
+                            },
+                            {
+                              "token": "Hi",
+                              "logprob": -1.3190403,
+                              "bytes": [72, 105]
+                            }
+                          ]
+                        },
+                        {
+                          "token": "!",
+                          "logprob": -0.02380986,
+                          "bytes": [
+                            33
+                          ],
+                          "top_logprobs": [
+                            {
+                              "token": "!",
+                              "logprob": -0.02380986,
+                              "bytes": [33]
+                            },
+                            {
+                              "token": " there",
+                              "logprob": -3.787621,
+                              "bytes": [32, 116, 104, 101, 114, 101]
+                            }
+                          ]
+                        },
+                        {
+                          "token": " How",
+                          "logprob": -0.000054669687,
+                          "bytes": [32, 72, 111, 119],
+                          "top_logprobs": [
+                            {
+                              "token": " How",
+                              "logprob": -0.000054669687,
+                              "bytes": [32, 72, 111, 119]
+                            },
+                            {
+                              "token": "<|end|>",
+                              "logprob": -10.953937,
+                              "bytes": null
+                            }
+                          ]
+                        },
+                        {
+                          "token": " can",
+                          "logprob": -0.015801601,
+                          "bytes": [32, 99, 97, 110],
+                          "top_logprobs": [
+                            {
+                              "token": " can",
+                              "logprob": -0.015801601,
+                              "bytes": [32, 99, 97, 110]
+                            },
+                            {
+                              "token": " may",
+                              "logprob": -4.161023,
+                              "bytes": [32, 109, 97, 121]
+                            }
+                          ]
+                        },
+                        {
+                          "token": " I",
+                          "logprob": -3.7697225e-6,
+                          "bytes": [
+                            32,
+                            73
+                          ],
+                          "top_logprobs": [
+                            {
+                              "token": " I",
+                              "logprob": -3.7697225e-6,
+                              "bytes": [32, 73]
+                            },
+                            {
+                              "token": " assist",
+                              "logprob": -13.596657,
+                              "bytes": [32, 97, 115, 115, 105, 115, 116]
+                            }
+                          ]
+                        },
+                        {
+                          "token": " assist",
+                          "logprob": -0.04571125,
+                          "bytes": [32, 97, 115, 115, 105, 115, 116],
+                          "top_logprobs": [
+                            {
+                              "token": " assist",
+                              "logprob": -0.04571125,
+                              "bytes": [32, 97, 115, 115, 105, 115, 116]
+                            },
+                            {
+                              "token": " help",
+                              "logprob": -3.1089056,
+                              "bytes": [32, 104, 101, 108, 112]
+                            }
+                          ]
+                        },
+                        {
+                          "token": " you",
+                          "logprob": -5.4385737e-6,
+                          "bytes": [32, 121, 111, 117],
+                          "top_logprobs": [
+                            {
+                              "token": " you",
+                              "logprob": -5.4385737e-6,
+                              "bytes": [32, 121, 111, 117]
+                            },
+                            {
+                              "token": " today",
+                              "logprob": -12.807695,
+                              "bytes": [32, 116, 111, 100, 97, 121]
+                            }
+                          ]
+                        },
+                        {
+                          "token": " today",
+                          "logprob": -0.0040071653,
+                          "bytes": [32, 116, 111, 100, 97, 121],
+                          "top_logprobs": [
+                            {
+                              "token": " today",
+                              "logprob": -0.0040071653,
+                              "bytes": [32, 116, 111, 100, 97, 121]
+                            },
+                            {
+                              "token": "?",
+                              "logprob": -5.5247097,
+                              "bytes": [63]
+                            }
+                          ]
+                        },
+                        {
+                          "token": "?",
+                          "logprob": -0.0008108172,
+                          "bytes": [63],
+                          "top_logprobs": [
+                            {
+                              "token": "?",
+                              "logprob": -0.0008108172,
+                              "bytes": [63]
+                            },
+                            {
+                              "token": "?\n",
+                              "logprob": -7.184561,
+                              "bytes": [63, 10]
+                            }
+                          ]
+                        }
+                      ]
+                    },
+                    "finish_reason": "stop"
+                  }
+                ],
+                "usage": {
+                  "prompt_tokens": 9,
+                  "completion_tokens": 9,
+                  "total_tokens": 18,
+                  "completion_tokens_details": {
+                    "reasoning_tokens": 0,
+                    "accepted_prediction_tokens": 0,
+                    "rejected_prediction_tokens": 0
+                  }
+                },
+                "system_fingerprint": null
+              }
+  /chat/completions/{completion_id}:
+    get:
+      operationId: getChatCompletion
+      tags:
+        - Chat
+      summary: >
+        Get a stored chat completion. Only Chat Completions that have been
+        created
+
+        with the `store` parameter set to `true` will be returned.
+      parameters:
+        - in: path
+          name: completion_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the chat completion to retrieve.
+      responses:
+        "200":
+          description: A chat completion
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/CreateChatCompletionResponse"
+      x-oaiMeta:
+        name: Get chat completion
+        group: chat
+        returns:
+          The [ChatCompletion](/docs/api-reference/chat/object) object matching
+          the specified ID.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/chat/completions/chatcmpl-abc123 \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json"
+            python: >
+              from openai import OpenAI
+
+              client = OpenAI()
+
+
+              completions = client.chat.completions.list()
+
+              first_id = completions[0].id
+
+              first_completion =
+              client.chat.completions.retrieve(completion_id=first_id)
+
+              print(first_completion)
+          response: >
+            {
+              "object": "chat.completion",
+              "id": "chatcmpl-abc123",
+              "model": "gpt-4o-2024-08-06",
+              "created": 1738960610,
+              "request_id": "req_ded8ab984ec4bf840f37566c1011c417",
+              "tool_choice": null,
+              "usage": {
+                "total_tokens": 31,
+                "completion_tokens": 18,
+                "prompt_tokens": 13
+              },
+              "seed": 4944116822809979520,
+              "top_p": 1.0,
+              "temperature": 1.0,
+              "presence_penalty": 0.0,
+              "frequency_penalty": 0.0,
+              "system_fingerprint": "fp_50cad350e4",
+              "input_user": null,
+              "service_tier": "default",
+              "tools": null,
+              "metadata": {},
+              "choices": [
+                {
+                  "index": 0,
+                  "message": {
+                    "content": "Mind of circuits hum,  \nLearning patterns in silence—  \nFuture's quiet spark.",
+                    "role": "assistant",
+                    "tool_calls": null,
+                    "function_call": null
+                  },
+                  "finish_reason": "stop",
+                  "logprobs": null
+                }
+              ],
+              "response_format": null
+            }
+    post:
+      operationId: updateChatCompletion
+      tags:
+        - Chat
+      summary: >
+        Modify a stored chat completion. Only Chat Completions that have been
+
+        created with the `store` parameter set to `true` can be modified.
+        Currently,
+
+        the only supported modification is to update the `metadata` field.
+      parameters:
+        - in: path
+          name: completion_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the chat completion to update.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              type: object
+              required:
+                - metadata
+              properties:
+                metadata:
+                  $ref: "#/components/schemas/Metadata"
+      responses:
+        "200":
+          description: A chat completion
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/CreateChatCompletionResponse"
+      x-oaiMeta:
+        name: Update chat completion
+        group: chat
+        returns:
+          The [ChatCompletion](/docs/api-reference/chat/object) object matching
+          the specified ID.
+        examples:
+          request:
+            curl: >
+              curl -X POST
+              https://api.openai.com/v1/chat/completions/chat_abc123 \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -d '{"metadata": {"foo": "bar"}}'
+            python: >
+              from openai import OpenAI
+
+              client = OpenAI()
+
+
+              completions = client.chat.completions.list()
+
+              first_id = completions[0].id
+
+              updated_completion =
+              client.chat.completions.update(completion_id=first_id,
+              request_body={"metadata": {"foo": "bar"}})
+
+              print(updated_completion)
+          response: >
+            {
+              "object": "chat.completion",
+              "id": "chatcmpl-AyPNinnUqUDYo9SAdA52NobMflmj2",
+              "model": "gpt-4o-2024-08-06",
+              "created": 1738960610,
+              "request_id": "req_ded8ab984ec4bf840f37566c1011c417",
+              "tool_choice": null,
+              "usage": {
+                "total_tokens": 31,
+                "completion_tokens": 18,
+                "prompt_tokens": 13
+              },
+              "seed": 4944116822809979520,
+              "top_p": 1.0,
+              "temperature": 1.0,
+              "presence_penalty": 0.0,
+              "frequency_penalty": 0.0,
+              "system_fingerprint": "fp_50cad350e4",
+              "input_user": null,
+              "service_tier": "default",
+              "tools": null,
+              "metadata": {
+                "foo": "bar"
+              },
+              "choices": [
+                {
+                  "index": 0,
+                  "message": {
+                    "content": "Mind of circuits hum,  \nLearning patterns in silence—  \nFuture's quiet spark.",
+                    "role": "assistant",
+                    "tool_calls": null,
+                    "function_call": null
+                  },
+                  "finish_reason": "stop",
+                  "logprobs": null
+                }
+              ],
+              "response_format": null
+            }
+    delete:
+      operationId: deleteChatCompletion
+      tags:
+        - Chat
+      summary: |
+        Delete a stored chat completion. Only Chat Completions that have been
+        created with the `store` parameter set to `true` can be deleted.
+      parameters:
+        - in: path
+          name: completion_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the chat completion to delete.
+      responses:
+        "200":
+          description: The chat completion was deleted successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ChatCompletionDeleted"
+      x-oaiMeta:
+        name: Delete chat completion
+        group: chat
+        returns: A deletion confirmation object.
+        examples:
+          request:
+            curl: >
+              curl -X DELETE
+              https://api.openai.com/v1/chat/completions/chat_abc123 \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json"
+            python: >
+              from openai import OpenAI
+
+              client = OpenAI()
+
+
+              completions = client.chat.completions.list()
+
+              first_id = completions[0].id
+
+              delete_response =
+              client.chat.completions.delete(completion_id=first_id)
+
+              print(delete_response)
+          response: |
+            {
+              "object": "chat.completion.deleted",
+              "id": "chatcmpl-AyPNinnUqUDYo9SAdA52NobMflmj2",
+              "deleted": true
+            }
+  /chat/completions/{completion_id}/messages:
+    get:
+      operationId: getChatCompletionMessages
+      tags:
+        - Chat
+      summary: |
+        Get the messages in a stored chat completion. Only Chat Completions that
+        have been created with the `store` parameter set to `true` will be
+        returned.
+      parameters:
+        - in: path
+          name: completion_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the chat completion to retrieve messages from.
+        - name: after
+          in: query
+          description: Identifier for the last message from the previous pagination request.
+          required: false
+          schema:
+            type: string
+        - name: limit
+          in: query
+          description: Number of messages to retrieve.
+          required: false
+          schema:
+            type: integer
+            default: 20
+        - name: order
+          in: query
+          description:
+            Sort order for messages by timestamp. Use `asc` for ascending order
+            or `desc` for descending order. Defaults to `asc`.
+          required: false
+          schema:
+            type: string
+            enum:
+              - asc
+              - desc
+            default: asc
+      responses:
+        "200":
+          description: A list of messages
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ChatCompletionMessageList"
+      x-oaiMeta:
+        name: Get chat messages
+        group: chat
+        returns:
+          A list of [messages](/docs/api-reference/chat/message-list) for the
+          specified chat completion.
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/chat/completions/chat_abc123/messages \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json"
+            python: >
+              from openai import OpenAI
+
+              client = OpenAI()
+
+
+              completions = client.chat.completions.list()
+
+              first_id = completions[0].id
+
+              first_completion =
+              client.chat.completions.retrieve(completion_id=first_id)
+
+              messages =
+              client.chat.completions.messages.list(completion_id=first_id)
+
+              print(messages)
+          response: |
+            {
+              "object": "list",
+              "data": [
+                {
+                  "id": "chatcmpl-AyPNinnUqUDYo9SAdA52NobMflmj2-0",
+                  "role": "user",
+                  "content": "write a haiku about ai",
+                  "name": null,
+                  "content_parts": null
+                }
+              ],
+              "first_id": "chatcmpl-AyPNinnUqUDYo9SAdA52NobMflmj2-0",
+              "last_id": "chatcmpl-AyPNinnUqUDYo9SAdA52NobMflmj2-0",
+              "has_more": false
+            }
+  /completions:
+    post:
+      operationId: createCompletion
+      tags:
+        - Completions
+      summary: Creates a completion for the provided prompt and parameters.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/CreateCompletionRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/CreateCompletionResponse"
+      x-oaiMeta:
+        name: Create completion
+        group: completions
+        returns: >
+          Returns a [completion](/docs/api-reference/completions/object) object,
+          or a sequence of completion objects if the request is streamed.
+        legacy: true
+        examples:
+          - title: No streaming
+            request:
+              curl: |
+                curl https://api.openai.com/v1/completions \
+                  -H "Content-Type: application/json" \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -d '{
+                    "model": "VAR_completion_model_id",
+                    "prompt": "Say this is a test",
+                    "max_tokens": 7,
+                    "temperature": 0
+                  }'
+              python: |
+                from openai import OpenAI
+                client = OpenAI()
+
+                client.completions.create(
+                  model="VAR_completion_model_id",
+                  prompt="Say this is a test",
+                  max_tokens=7,
+                  temperature=0
+                )
+              node.js: |-
+                import OpenAI from "openai";
+
+                const openai = new OpenAI();
+
+                async function main() {
+                  const completion = await openai.completions.create({
+                    model: "VAR_completion_model_id",
+                    prompt: "Say this is a test.",
+                    max_tokens: 7,
+                    temperature: 0,
+                  });
+
+                  console.log(completion);
+                }
+                main();
+            response: |
+              {
+                "id": "cmpl-uqkvlQyYK7bGYrRHQ0eXlWi7",
+                "object": "text_completion",
+                "created": 1589478378,
+                "model": "VAR_completion_model_id",
+                "system_fingerprint": "fp_44709d6fcb",
+                "choices": [
+                  {
+                    "text": "\n\nThis is indeed a test",
+                    "index": 0,
+                    "logprobs": null,
+                    "finish_reason": "length"
+                  }
+                ],
+                "usage": {
+                  "prompt_tokens": 5,
+                  "completion_tokens": 7,
+                  "total_tokens": 12
+                }
+              }
+          - title: Streaming
+            request:
+              curl: |
+                curl https://api.openai.com/v1/completions \
+                  -H "Content-Type: application/json" \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -d '{
+                    "model": "VAR_completion_model_id",
+                    "prompt": "Say this is a test",
+                    "max_tokens": 7,
+                    "temperature": 0,
+                    "stream": true
+                  }'
+              python: |
+                from openai import OpenAI
+                client = OpenAI()
+
+                for chunk in client.completions.create(
+                  model="VAR_completion_model_id",
+                  prompt="Say this is a test",
+                  max_tokens=7,
+                  temperature=0,
+                  stream=True
+                ):
+                  print(chunk.choices[0].text)
+              node.js: |-
+                import OpenAI from "openai";
+
+                const openai = new OpenAI();
+
+                async function main() {
+                  const stream = await openai.completions.create({
+                    model: "VAR_completion_model_id",
+                    prompt: "Say this is a test.",
+                    stream: true,
+                  });
+
+                  for await (const chunk of stream) {
+                    console.log(chunk.choices[0].text)
+                  }
+                }
+                main();
+            response: |
+              {
+                "id": "cmpl-7iA7iJjj8V2zOkCGvWF2hAkDWBQZe",
+                "object": "text_completion",
+                "created": 1690759702,
+                "choices": [
+                  {
+                    "text": "This",
+                    "index": 0,
+                    "logprobs": null,
+                    "finish_reason": null
+                  }
+                ],
+                "model": "gpt-3.5-turbo-instruct"
+                "system_fingerprint": "fp_44709d6fcb",
+              }
+  /embeddings:
+    post:
+      operationId: createEmbedding
+      tags:
+        - Embeddings
+      summary: Creates an embedding vector representing the input text.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/CreateEmbeddingRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/CreateEmbeddingResponse"
+      x-oaiMeta:
+        name: Create embeddings
+        group: embeddings
+        returns: A list of [embedding](/docs/api-reference/embeddings/object) objects.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/embeddings \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -d '{
+                  "input": "The food was delicious and the waiter...",
+                  "model": "text-embedding-ada-002",
+                  "encoding_format": "float"
+                }'
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.embeddings.create(
+                model="text-embedding-ada-002",
+                input="The food was delicious and the waiter...",
+                encoding_format="float"
+              )
+            node.js: |
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const embedding = await openai.embeddings.create({
+                  model: "text-embedding-ada-002",
+                  input: "The quick brown fox jumped over the lazy dog",
+                  encoding_format: "float",
+                });
+
+                console.log(embedding);
+              }
+
+              main();
+            csharp: >
+              using System;
+
+
+              using OpenAI.Embeddings;
+
+
+              EmbeddingClient client = new(
+                  model: "text-embedding-3-small",
+                  apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
+              );
+
+
+              OpenAIEmbedding embedding = client.GenerateEmbedding(input: "The
+              quick brown fox jumped over the lazy dog");
+
+              ReadOnlyMemory<float> vector = embedding.ToFloats();
+
+
+              for (int i = 0; i < vector.Length; i++)
+
+              {
+                  Console.WriteLine($"  [{i,4}] = {vector.Span[i]}");
+              }
+          response: |
+            {
+              "object": "list",
+              "data": [
+                {
+                  "object": "embedding",
+                  "embedding": [
+                    0.0023064255,
+                    -0.009327292,
+                    .... (1536 floats total for ada-002)
+                    -0.0028842222,
+                  ],
+                  "index": 0
+                }
+              ],
+              "model": "text-embedding-ada-002",
+              "usage": {
+                "prompt_tokens": 8,
+                "total_tokens": 8
+              }
+            }
+  /files:
+    get:
+      operationId: listFiles
+      tags:
+        - Files
+      summary: Returns a list of files.
+      parameters:
+        - in: query
+          name: purpose
+          required: false
+          schema:
+            type: string
+          description: Only return files with the given purpose.
+        - name: limit
+          in: query
+          description: >
+            A limit on the number of objects to be returned. Limit can range
+            between 1 and 10,000, and the default is 10,000.
+          required: false
+          schema:
+            type: integer
+            default: 10000
+        - name: order
+          in: query
+          description: >
+            Sort order by the `created_at` timestamp of the objects. `asc` for
+            ascending order and `desc` for descending order.
+          schema:
+            type: string
+            default: desc
+            enum:
+              - asc
+              - desc
+        - name: after
+          in: query
+          description: >
+            A cursor for use in pagination. `after` is an object ID that defines
+            your place in the list. For instance, if you make a list request and
+            receive 100 objects, ending with obj_foo, your subsequent call can
+            include after=obj_foo in order to fetch the next page of the list.
+          schema:
+            type: string
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ListFilesResponse"
+      x-oaiMeta:
+        name: List files
+        group: files
+        returns: A list of [File](/docs/api-reference/files/object) objects.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/files \
+                -H "Authorization: Bearer $OPENAI_API_KEY"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.files.list()
+            node.js: |-
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const list = await openai.files.list();
+
+                for await (const file of list) {
+                  console.log(file);
+                }
+              }
+
+              main();
+          response: |
+            {
+              "data": [
+                {
+                  "id": "file-abc123",
+                  "object": "file",
+                  "bytes": 175,
+                  "created_at": 1613677385,
+                  "filename": "salesOverview.pdf",
+                  "purpose": "assistants",
+                },
+                {
+                  "id": "file-abc123",
+                  "object": "file",
+                  "bytes": 140,
+                  "created_at": 1613779121,
+                  "filename": "puppy.jsonl",
+                  "purpose": "fine-tune",
+                }
+              ],
+              "object": "list"
+            }
+    post:
+      operationId: createFile
+      tags:
+        - Files
+      summary: >
+        Upload a file that can be used across various endpoints. Individual
+        files can be up to 512 MB, and the size of all files uploaded by one
+        organization can be up to 100 GB.
+
+
+        The Assistants API supports files up to 2 million tokens and of specific
+        file types. See the [Assistants Tools guide](/docs/assistants/tools) for
+        details.
+
+
+        The Fine-tuning API only supports `.jsonl` files. The input also has
+        certain required formats for fine-tuning
+        [chat](/docs/api-reference/fine-tuning/chat-input) or
+        [completions](/docs/api-reference/fine-tuning/completions-input) models.
+
+
+        The Batch API only supports `.jsonl` files up to 200 MB in size. The
+        input also has a specific required
+        [format](/docs/api-reference/batch/request-input).
+
+
+        Please [contact us](https://help.openai.com/) if you need to increase
+        these storage limits.
+      requestBody:
+        required: true
+        content:
+          multipart/form-data:
+            schema:
+              $ref: "#/components/schemas/CreateFileRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/OpenAIFile"
+      x-oaiMeta:
+        name: Upload file
+        group: files
+        returns: The uploaded [File](/docs/api-reference/files/object) object.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/files \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -F purpose="fine-tune" \
+                -F file="@mydata.jsonl"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.files.create(
+                file=open("mydata.jsonl", "rb"),
+                purpose="fine-tune"
+              )
+            node.js: |-
+              import fs from "fs";
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const file = await openai.files.create({
+                  file: fs.createReadStream("mydata.jsonl"),
+                  purpose: "fine-tune",
+                });
+
+                console.log(file);
+              }
+
+              main();
+          response: |
+            {
+              "id": "file-abc123",
+              "object": "file",
+              "bytes": 120000,
+              "created_at": 1677610602,
+              "filename": "mydata.jsonl",
+              "purpose": "fine-tune",
+            }
+  /files/{file_id}:
+    delete:
+      operationId: deleteFile
+      tags:
+        - Files
+      summary: Delete a file.
+      parameters:
+        - in: path
+          name: file_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the file to use for this request.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/DeleteFileResponse"
+      x-oaiMeta:
+        name: Delete file
+        group: files
+        returns: Deletion status.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/files/file-abc123 \
+                -X DELETE \
+                -H "Authorization: Bearer $OPENAI_API_KEY"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.files.delete("file-abc123")
+            node.js: |-
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const file = await openai.files.del("file-abc123");
+
+                console.log(file);
+              }
+
+              main();
+          response: |
+            {
+              "id": "file-abc123",
+              "object": "file",
+              "deleted": true
+            }
+    get:
+      operationId: retrieveFile
+      tags:
+        - Files
+      summary: Returns information about a specific file.
+      parameters:
+        - in: path
+          name: file_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the file to use for this request.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/OpenAIFile"
+      x-oaiMeta:
+        name: Retrieve file
+        group: files
+        returns:
+          The [File](/docs/api-reference/files/object) object matching the
+          specified ID.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/files/file-abc123 \
+                -H "Authorization: Bearer $OPENAI_API_KEY"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.files.retrieve("file-abc123")
+            node.js: |-
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const file = await openai.files.retrieve("file-abc123");
+
+                console.log(file);
+              }
+
+              main();
+          response: |
+            {
+              "id": "file-abc123",
+              "object": "file",
+              "bytes": 120000,
+              "created_at": 1677610602,
+              "filename": "mydata.jsonl",
+              "purpose": "fine-tune",
+            }
+  /files/{file_id}/content:
+    get:
+      operationId: downloadFile
+      tags:
+        - Files
+      summary: Returns the contents of the specified file.
+      parameters:
+        - in: path
+          name: file_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the file to use for this request.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                type: string
+      x-oaiMeta:
+        name: Retrieve file content
+        group: files
+        returns: The file content.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/files/file-abc123/content \
+                -H "Authorization: Bearer $OPENAI_API_KEY" > file.jsonl
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              content = client.files.content("file-abc123")
+            node.js: |
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const file = await openai.files.content("file-abc123");
+
+                console.log(file);
+              }
+
+              main();
+  /fine_tuning/checkpoints/{permission_id}/permissions:
+    get:
+      operationId: listFineTuningCheckpointPermissions
+      tags:
+        - Fine-tuning
+      summary: >
+        **NOTE:** This endpoint requires an [admin API key](../admin-api-keys).
+
+
+        Organization owners can use this endpoint to view all permissions for a
+        fine-tuned model checkpoint.
+      parameters:
+        - in: path
+          name: permission_id
+          required: true
+          schema:
+            type: string
+            example: ft-AF1WoRqd3aJAHsqc9NY7iL8F
+          description: |
+            The ID of the fine-tuned model checkpoint to get permissions for.
+        - name: project_id
+          in: query
+          description: The ID of the project to get permissions for.
+          required: false
+          schema:
+            type: string
+        - name: after
+          in: query
+          description:
+            Identifier for the last permission ID from the previous pagination
+            request.
+          required: false
+          schema:
+            type: string
+        - name: limit
+          in: query
+          description: Number of permissions to retrieve.
+          required: false
+          schema:
+            type: integer
+            default: 10
+        - name: order
+          in: query
+          description: The order in which to retrieve permissions.
+          required: false
+          schema:
+            type: string
+            enum:
+              - ascending
+              - descending
+            default: descending
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ListFineTuningCheckpointPermissionResponse"
+      x-oaiMeta:
+        name: List checkpoint permissions
+        group: fine-tuning
+        returns: A list of fine-tuned model checkpoint [permission
+          objects](/docs/api-reference/fine-tuning/permission-object) for a
+          fine-tuned model checkpoint.
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/fine_tuning/checkpoints/ft:gpt-4o-mini-2024-07-18:org:weather:B7R9VjQd/permissions
+              \
+                -H "Authorization: Bearer $OPENAI_API_KEY"
+          response: |
+            {
+              "object": "list",
+              "data": [
+                {
+                  "object": "checkpoint.permission",
+                  "id": "cp_zc4Q7MP6XxulcVzj4MZdwsAB",
+                  "created_at": 1721764867,
+                  "project_id": "proj_abGMw1llN8IrBb6SvvY5A1iH"
+                },
+                {
+                  "object": "checkpoint.permission",
+                  "id": "cp_enQCFmOTGj3syEpYVhBRLTSy",
+                  "created_at": 1721764800,
+                  "project_id": "proj_iqGMw1llN8IrBb6SvvY5A1oF"
+                },
+              ],
+              "first_id": "cp_zc4Q7MP6XxulcVzj4MZdwsAB",
+              "last_id": "cp_enQCFmOTGj3syEpYVhBRLTSy",
+              "has_more": false
+            }
+    post:
+      operationId: createFineTuningCheckpointPermission
+      tags:
+        - Fine-tuning
+      summary: >
+        **NOTE:** Calling this endpoint requires an [admin API
+        key](../admin-api-keys).
+
+
+        This enables organization owners to share fine-tuned models with other
+        projects in their organization.
+      parameters:
+        - in: path
+          name: permission_id
+          required: true
+          schema:
+            type: string
+            example: ft:gpt-4o-mini-2024-07-18:org:weather:B7R9VjQd
+          description: >
+            The ID of the fine-tuned model checkpoint to create a permission for.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/CreateFineTuningCheckpointPermissionRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ListFineTuningCheckpointPermissionResponse"
+      x-oaiMeta:
+        name: Create checkpoint permissions
+        group: fine-tuning
+        returns: A list of fine-tuned model checkpoint [permission
+          objects](/docs/api-reference/fine-tuning/permission-object) for a
+          fine-tuned model checkpoint.
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/fine_tuning/checkpoints/ft:gpt-4o-mini-2024-07-18:org:weather:B7R9VjQd/permissions
+              \
+                -H "Authorization: Bearer $OPENAI_API_KEY"
+                -d '{"project_ids": ["proj_abGMw1llN8IrBb6SvvY5A1iH"]}'
+          response: |
+            {
+              "object": "list",
+              "data": [
+                {
+                  "object": "checkpoint.permission",
+                  "id": "cp_zc4Q7MP6XxulcVzj4MZdwsAB",
+                  "created_at": 1721764867,
+                  "project_id": "proj_abGMw1llN8IrBb6SvvY5A1iH"
+                }
+              ],
+              "first_id": "cp_zc4Q7MP6XxulcVzj4MZdwsAB",
+              "last_id": "cp_zc4Q7MP6XxulcVzj4MZdwsAB",
+              "has_more": false
+            }
+    delete:
+      operationId: deleteFineTuningCheckpointPermission
+      tags:
+        - Fine-tuning
+      summary: >
+        **NOTE:** This endpoint requires an [admin API key](../admin-api-keys).
+
+
+        Organization owners can use this endpoint to delete a permission for a
+        fine-tuned model checkpoint.
+      parameters:
+        - in: path
+          name: permission_id
+          required: true
+          schema:
+            type: string
+            example: cp_zc4Q7MP6XxulcVzj4MZdwsAB
+          description: |
+            The ID of the fine-tuned model checkpoint permission to delete.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/DeleteFineTuningCheckpointPermissionResponse"
+      x-oaiMeta:
+        name: Delete checkpoint permission
+        group: fine-tuning
+        returns:
+          The deletion status of the fine-tuned model checkpoint [permission
+          object](/docs/api-reference/fine-tuning/permission-object).
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/fine_tuning/checkpoints/ft:gpt-4o-mini-2024-07-18:org:weather:B7R9VjQd/permissions/cp_zc4Q7MP6XxulcVzj4MZdwsAB
+              \
+                -H "Authorization: Bearer $OPENAI_API_KEY"
+          response: |
+            {
+              "object": "checkpoint.permission",
+              "id": "cp_zc4Q7MP6XxulcVzj4MZdwsAB",
+              "deleted": true
+            }
+  /fine_tuning/jobs:
+    post:
+      operationId: createFineTuningJob
+      tags:
+        - Fine-tuning
+      summary: >
+        Creates a fine-tuning job which begins the process of creating a new
+        model from a given dataset.
+
+
+        Response includes details of the enqueued job including job status and
+        the name of the fine-tuned models once complete.
+
+
+        [Learn more about fine-tuning](/docs/guides/fine-tuning)
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/CreateFineTuningJobRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/FineTuningJob"
+      x-oaiMeta:
+        name: Create fine-tuning job
+        group: fine-tuning
+        returns: A [fine-tuning.job](/docs/api-reference/fine-tuning/object) object.
+        examples:
+          - title: Default
+            request:
+              curl: |
+                curl https://api.openai.com/v1/fine_tuning/jobs \
+                  -H "Content-Type: application/json" \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -d '{
+                    "training_file": "file-BK7bzQj3FfZFXr7DbL6xJwfo",
+                    "model": "gpt-4o-mini"
+                  }'
+              python: |
+                from openai import OpenAI
+                client = OpenAI()
+
+                client.fine_tuning.jobs.create(
+                  training_file="file-abc123",
+                  model="gpt-4o-mini"
+                )
+              node.js: |
+                import OpenAI from "openai";
+
+                const openai = new OpenAI();
+
+                async function main() {
+                  const fineTune = await openai.fineTuning.jobs.create({
+                    training_file: "file-abc123"
+                  });
+
+                  console.log(fineTune);
+                }
+
+                main();
+            response: |
+              {
+                "object": "fine_tuning.job",
+                "id": "ftjob-abc123",
+                "model": "gpt-4o-mini-2024-07-18",
+                "created_at": 1721764800,
+                "fine_tuned_model": null,
+                "organization_id": "org-123",
+                "result_files": [],
+                "status": "queued",
+                "validation_file": null,
+                "training_file": "file-abc123",
+                "method": {
+                  "type": "supervised",
+                  "supervised": {
+                    "hyperparameters": {
+                      "batch_size": "auto",
+                      "learning_rate_multiplier": "auto",
+                      "n_epochs": "auto",
+                    }
+                  }
+                },
+                "metadata": null
+              }
+          - title: Epochs
+            request:
+              curl: |
+                curl https://api.openai.com/v1/fine_tuning/jobs \
+                  -H "Content-Type: application/json" \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -d '{
+                    "training_file": "file-abc123",
+                    "model": "gpt-4o-mini",
+                    "method": {
+                      "type": "supervised",
+                      "supervised": {
+                        "hyperparameters": {
+                          "n_epochs": 2
+                        }
+                      }
+                    }
+                  }'
+              python: |
+                from openai import OpenAI
+                client = OpenAI()
+
+                client.fine_tuning.jobs.create(
+                  training_file="file-abc123",
+                  model="gpt-4o-mini",
+                  method={
+                    "type": "supervised",
+                    "supervised": {
+                      "hyperparameters": {
+                        "n_epochs": 2
+                      }
+                    }
+                  }
+                )
+              node.js: |
+                import OpenAI from "openai";
+
+                const openai = new OpenAI();
+
+                async function main() {
+                  const fineTune = await openai.fineTuning.jobs.create({
+                    training_file: "file-abc123",
+                    model: "gpt-4o-mini",
+                    method: {
+                      type: "supervised",
+                      supervised: {
+                        hyperparameters: {
+                          n_epochs: 2
+                        }
+                      }
+                    }
+                  });
+
+                  console.log(fineTune);
+                }
+
+                main();
+            response: |
+              {
+                "object": "fine_tuning.job",
+                "id": "ftjob-abc123",
+                "model": "gpt-4o-mini-2024-07-18",
+                "created_at": 1721764800,
+                "fine_tuned_model": null,
+                "organization_id": "org-123",
+                "result_files": [],
+                "status": "queued",
+                "validation_file": null,
+                "training_file": "file-abc123",
+                "hyperparameters": {"n_epochs": 2},
+                "method": {
+                  "type": "supervised",
+                  "supervised": {
+                    "hyperparameters": {
+                      "batch_size": "auto",
+                      "learning_rate_multiplier": "auto",
+                      "n_epochs": 2,
+                    }
+                  }
+                },
+                "metadata": null
+              }
+          - title: Validation file
+            request:
+              curl: |
+                curl https://api.openai.com/v1/fine_tuning/jobs \
+                  -H "Content-Type: application/json" \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -d '{
+                    "training_file": "file-abc123",
+                    "validation_file": "file-abc123",
+                    "model": "gpt-4o-mini"
+                  }'
+              python: |
+                from openai import OpenAI
+                client = OpenAI()
+
+                client.fine_tuning.jobs.create(
+                  training_file="file-abc123",
+                  validation_file="file-def456",
+                  model="gpt-4o-mini"
+                )
+              node.js: |
+                import OpenAI from "openai";
+
+                const openai = new OpenAI();
+
+                async function main() {
+                  const fineTune = await openai.fineTuning.jobs.create({
+                    training_file: "file-abc123",
+                    validation_file: "file-abc123"
+                  });
+
+                  console.log(fineTune);
+                }
+
+                main();
+            response: |
+              {
+                "object": "fine_tuning.job",
+                "id": "ftjob-abc123",
+                "model": "gpt-4o-mini-2024-07-18",
+                "created_at": 1721764800,
+                "fine_tuned_model": null,
+                "organization_id": "org-123",
+                "result_files": [],
+                "status": "queued",
+                "validation_file": "file-abc123",
+                "training_file": "file-abc123",
+                "method": {
+                  "type": "supervised",
+                  "supervised": {
+                    "hyperparameters": {
+                      "batch_size": "auto",
+                      "learning_rate_multiplier": "auto",
+                      "n_epochs": "auto",
+                    }
+                  }
+                },
+                "metadata": null
+              }
+          - title: DPO
+            request:
+              curl: |
+                curl https://api.openai.com/v1/fine_tuning/jobs \
+                  -H "Content-Type: application/json" \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -d '{
+                    "training_file": "file-abc123",
+                    "validation_file": "file-abc123",
+                    "model": "gpt-4o-mini",
+                    "method": {
+                      "type": "dpo",
+                      "dpo": {
+                        "hyperparameters": {
+                          "beta": 0.1,
+                        }
+                      }
+                    }
+                  }'
+            response: |
+              {
+                "object": "fine_tuning.job",
+                "id": "ftjob-abc123",
+                "model": "gpt-4o-mini-2024-07-18",
+                "created_at": 1721764800,
+                "fine_tuned_model": null,
+                "organization_id": "org-123",
+                "result_files": [],
+                "status": "queued",
+                "validation_file": "file-abc123",
+                "training_file": "file-abc123",
+                "method": {
+                  "type": "dpo",
+                  "dpo": {
+                    "hyperparameters": {
+                      "beta": 0.1,
+                      "batch_size": "auto",
+                      "learning_rate_multiplier": "auto",
+                      "n_epochs": "auto",
+                    }
+                  }
+                },
+                "metadata": null
+              }
+          - title: W&B Integration
+            request:
+              curl: |
+                curl https://api.openai.com/v1/fine_tuning/jobs \
+                  -H "Content-Type: application/json" \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -d '{
+                    "training_file": "file-abc123",
+                    "validation_file": "file-abc123",
+                    "model": "gpt-4o-mini",
+                    "integrations": [
+                      {
+                        "type": "wandb",
+                        "wandb": {
+                          "project": "my-wandb-project",
+                          "name": "ft-run-display-name"
+                          "tags": [
+                            "first-experiment", "v2"
+                          ]
+                        }
+                      }
+                    ]
+                  }'
+            response: |
+              {
+                "object": "fine_tuning.job",
+                "id": "ftjob-abc123",
+                "model": "gpt-4o-mini-2024-07-18",
+                "created_at": 1721764800,
+                "fine_tuned_model": null,
+                "organization_id": "org-123",
+                "result_files": [],
+                "status": "queued",
+                "validation_file": "file-abc123",
+                "training_file": "file-abc123",
+                "integrations": [
+                  {
+                    "type": "wandb",
+                    "wandb": {
+                      "project": "my-wandb-project",
+                      "entity": None,
+                      "run_id": "ftjob-abc123"
+                    }
+                  }
+                ],
+                "method": {
+                  "type": "supervised",
+                  "supervised": {
+                    "hyperparameters": {
+                      "batch_size": "auto",
+                      "learning_rate_multiplier": "auto",
+                      "n_epochs": "auto",
+                    }
+                  }
+                },
+                "metadata": null
+              }
+    get:
+      operationId: listPaginatedFineTuningJobs
+      tags:
+        - Fine-tuning
+      summary: |
+        List your organization's fine-tuning jobs
+      parameters:
+        - name: after
+          in: query
+          description: Identifier for the last job from the previous pagination request.
+          required: false
+          schema:
+            type: string
+        - name: limit
+          in: query
+          description: Number of fine-tuning jobs to retrieve.
+          required: false
+          schema:
+            type: integer
+            default: 20
+        - in: query
+          name: metadata
+          required: false
+          schema:
+            type: object
+            nullable: true
+            additionalProperties:
+              type: string
+          style: deepObject
+          explode: true
+          description: >
+            Optional metadata filter. To filter, use the syntax `metadata[k]=v`.
+            Alternatively, set `metadata=null` to indicate no metadata.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ListPaginatedFineTuningJobsResponse"
+      x-oaiMeta:
+        name: List fine-tuning jobs
+        group: fine-tuning
+        returns: A list of paginated [fine-tuning
+          job](/docs/api-reference/fine-tuning/object) objects.
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/fine_tuning/jobs?limit=2&metadata[key]=value
+              \
+                -H "Authorization: Bearer $OPENAI_API_KEY"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.fine_tuning.jobs.list()
+            node.js: |-
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const list = await openai.fineTuning.jobs.list();
+
+                for await (const fineTune of list) {
+                  console.log(fineTune);
+                }
+              }
+
+              main();
+          response: |
+            {
+              "object": "list",
+              "data": [
+                {
+                  "object": "fine_tuning.job",
+                  "id": "ftjob-abc123",
+                  "model": "gpt-4o-mini-2024-07-18",
+                  "created_at": 1721764800,
+                  "fine_tuned_model": null,
+                  "organization_id": "org-123",
+                  "result_files": [],
+                  "status": "queued",
+                  "validation_file": null,
+                  "training_file": "file-abc123",
+                  "metadata": {
+                    "key": "value"
+                  }
+                },
+                { ... },
+                { ... }
+              ], "has_more": true
+            }
+  /fine_tuning/jobs/{fine_tuning_job_id}:
+    get:
+      operationId: retrieveFineTuningJob
+      tags:
+        - Fine-tuning
+      summary: |
+        Get info about a fine-tuning job.
+
+        [Learn more about fine-tuning](/docs/guides/fine-tuning)
+      parameters:
+        - in: path
+          name: fine_tuning_job_id
+          required: true
+          schema:
+            type: string
+            example: ft-AF1WoRqd3aJAHsqc9NY7iL8F
+          description: |
+            The ID of the fine-tuning job.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/FineTuningJob"
+      x-oaiMeta:
+        name: Retrieve fine-tuning job
+        group: fine-tuning
+        returns:
+          The [fine-tuning](/docs/api-reference/fine-tuning/object) object with
+          the given ID.
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/fine_tuning/jobs/ft-AF1WoRqd3aJAHsqc9NY7iL8F
+              \
+                -H "Authorization: Bearer $OPENAI_API_KEY"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.fine_tuning.jobs.retrieve("ftjob-abc123")
+            node.js: >
+              import OpenAI from "openai";
+
+
+              const openai = new OpenAI();
+
+
+              async function main() {
+                const fineTune = await openai.fineTuning.jobs.retrieve("ftjob-abc123");
+
+                console.log(fineTune);
+              }
+
+
+              main();
+          response: >
+            {
+              "object": "fine_tuning.job",
+              "id": "ftjob-abc123",
+              "model": "davinci-002",
+              "created_at": 1692661014,
+              "finished_at": 1692661190,
+              "fine_tuned_model": "ft:davinci-002:my-org:custom_suffix:7q8mpxmy",
+              "organization_id": "org-123",
+              "result_files": [
+                  "file-abc123"
+              ],
+              "status": "succeeded",
+              "validation_file": null,
+              "training_file": "file-abc123",
+              "hyperparameters": {
+                  "n_epochs": 4,
+                  "batch_size": 1,
+                  "learning_rate_multiplier": 1.0
+              },
+              "trained_tokens": 5768,
+              "integrations": [],
+              "seed": 0,
+              "estimated_finish": 0,
+              "method": {
+                "type": "supervised",
+                "supervised": {
+                  "hyperparameters": {
+                    "n_epochs": 4,
+                    "batch_size": 1,
+                    "learning_rate_multiplier": 1.0
+                  }
+                }
+              }
+            }
+  /fine_tuning/jobs/{fine_tuning_job_id}/cancel:
+    post:
+      operationId: cancelFineTuningJob
+      tags:
+        - Fine-tuning
+      summary: |
+        Immediately cancel a fine-tune job.
+      parameters:
+        - in: path
+          name: fine_tuning_job_id
+          required: true
+          schema:
+            type: string
+            example: ft-AF1WoRqd3aJAHsqc9NY7iL8F
+          description: |
+            The ID of the fine-tuning job to cancel.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/FineTuningJob"
+      x-oaiMeta:
+        name: Cancel fine-tuning
+        group: fine-tuning
+        returns:
+          The cancelled [fine-tuning](/docs/api-reference/fine-tuning/object)
+          object.
+        examples:
+          request:
+            curl: >
+              curl -X POST
+              https://api.openai.com/v1/fine_tuning/jobs/ftjob-abc123/cancel \
+                -H "Authorization: Bearer $OPENAI_API_KEY"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.fine_tuning.jobs.cancel("ftjob-abc123")
+            node.js: >-
+              import OpenAI from "openai";
+
+
+              const openai = new OpenAI();
+
+
+              async function main() {
+                const fineTune = await openai.fineTuning.jobs.cancel("ftjob-abc123");
+
+                console.log(fineTune);
+              }
+
+              main();
+          response: |
+            {
+              "object": "fine_tuning.job",
+              "id": "ftjob-abc123",
+              "model": "gpt-4o-mini-2024-07-18",
+              "created_at": 1721764800,
+              "fine_tuned_model": null,
+              "organization_id": "org-123",
+              "result_files": [],
+              "status": "cancelled",
+              "validation_file": "file-abc123",
+              "training_file": "file-abc123"
+            }
+  /fine_tuning/jobs/{fine_tuning_job_id}/checkpoints:
+    get:
+      operationId: listFineTuningJobCheckpoints
+      tags:
+        - Fine-tuning
+      summary: |
+        List checkpoints for a fine-tuning job.
+      parameters:
+        - in: path
+          name: fine_tuning_job_id
+          required: true
+          schema:
+            type: string
+            example: ft-AF1WoRqd3aJAHsqc9NY7iL8F
+          description: |
+            The ID of the fine-tuning job to get checkpoints for.
+        - name: after
+          in: query
+          description:
+            Identifier for the last checkpoint ID from the previous pagination
+            request.
+          required: false
+          schema:
+            type: string
+        - name: limit
+          in: query
+          description: Number of checkpoints to retrieve.
+          required: false
+          schema:
+            type: integer
+            default: 10
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ListFineTuningJobCheckpointsResponse"
+      x-oaiMeta:
+        name: List fine-tuning checkpoints
+        group: fine-tuning
+        returns: A list of fine-tuning [checkpoint
+          objects](/docs/api-reference/fine-tuning/checkpoint-object) for a
+          fine-tuning job.
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/fine_tuning/jobs/ftjob-abc123/checkpoints
+              \
+                -H "Authorization: Bearer $OPENAI_API_KEY"
+          response: >
+            {
+              "object": "list"
+              "data": [
+                {
+                  "object": "fine_tuning.job.checkpoint",
+                  "id": "ftckpt_zc4Q7MP6XxulcVzj4MZdwsAB",
+                  "created_at": 1721764867,
+                  "fine_tuned_model_checkpoint": "ft:gpt-4o-mini-2024-07-18:my-org:custom-suffix:96olL566:ckpt-step-2000",
+                  "metrics": {
+                    "full_valid_loss": 0.134,
+                    "full_valid_mean_token_accuracy": 0.874
+                  },
+                  "fine_tuning_job_id": "ftjob-abc123",
+                  "step_number": 2000,
+                },
+                {
+                  "object": "fine_tuning.job.checkpoint",
+                  "id": "ftckpt_enQCFmOTGj3syEpYVhBRLTSy",
+                  "created_at": 1721764800,
+                  "fine_tuned_model_checkpoint": "ft:gpt-4o-mini-2024-07-18:my-org:custom-suffix:7q8mpxmy:ckpt-step-1000",
+                  "metrics": {
+                    "full_valid_loss": 0.167,
+                    "full_valid_mean_token_accuracy": 0.781
+                  },
+                  "fine_tuning_job_id": "ftjob-abc123",
+                  "step_number": 1000,
+                },
+              ],
+              "first_id": "ftckpt_zc4Q7MP6XxulcVzj4MZdwsAB",
+              "last_id": "ftckpt_enQCFmOTGj3syEpYVhBRLTSy",
+              "has_more": true
+            }
+  /fine_tuning/jobs/{fine_tuning_job_id}/events:
+    get:
+      operationId: listFineTuningEvents
+      tags:
+        - Fine-tuning
+      summary: |
+        Get status updates for a fine-tuning job.
+      parameters:
+        - in: path
+          name: fine_tuning_job_id
+          required: true
+          schema:
+            type: string
+            example: ft-AF1WoRqd3aJAHsqc9NY7iL8F
+          description: |
+            The ID of the fine-tuning job to get events for.
+        - name: after
+          in: query
+          description: Identifier for the last event from the previous pagination request.
+          required: false
+          schema:
+            type: string
+        - name: limit
+          in: query
+          description: Number of events to retrieve.
+          required: false
+          schema:
+            type: integer
+            default: 20
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ListFineTuningJobEventsResponse"
+      x-oaiMeta:
+        name: List fine-tuning events
+        group: fine-tuning
+        returns: A list of fine-tuning event objects.
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/fine_tuning/jobs/ftjob-abc123/events \
+                -H "Authorization: Bearer $OPENAI_API_KEY"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.fine_tuning.jobs.list_events(
+                fine_tuning_job_id="ftjob-abc123",
+                limit=2
+              )
+            node.js: >-
+              import OpenAI from "openai";
+
+
+              const openai = new OpenAI();
+
+
+              async function main() {
+                const list = await openai.fineTuning.list_events(id="ftjob-abc123", limit=2);
+
+                for await (const fineTune of list) {
+                  console.log(fineTune);
+                }
+              }
+
+
+              main();
+          response: >
+            {
+              "object": "list",
+              "data": [
+                {
+                  "object": "fine_tuning.job.event",
+                  "id": "ft-event-ddTJfwuMVpfLXseO0Am0Gqjm",
+                  "created_at": 1721764800,
+                  "level": "info",
+                  "message": "Fine tuning job successfully completed",
+                  "data": null,
+                  "type": "message"
+                },
+                {
+                  "object": "fine_tuning.job.event",
+                  "id": "ft-event-tyiGuB72evQncpH87xe505Sv",
+                  "created_at": 1721764800,
+                  "level": "info",
+                  "message": "New fine-tuned model created: ft:gpt-4o-mini:openai::7p4lURel",
+                  "data": null,
+                  "type": "message"
+                }
+              ],
+              "has_more": true
+            }
+  /images/edits:
+    post:
+      operationId: createImageEdit
+      tags:
+        - Images
+      summary: Creates an edited or extended image given an original image and a prompt.
+      requestBody:
+        required: true
+        content:
+          multipart/form-data:
+            schema:
+              $ref: "#/components/schemas/CreateImageEditRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ImagesResponse"
+      x-oaiMeta:
+        name: Create image edit
+        group: images
+        returns: Returns a list of [image](/docs/api-reference/images/object) objects.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/images/edits \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -F image="@otter.png" \
+                -F mask="@mask.png" \
+                -F prompt="A cute baby sea otter wearing a beret" \
+                -F n=2 \
+                -F size="1024x1024"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.images.edit(
+                image=open("otter.png", "rb"),
+                mask=open("mask.png", "rb"),
+                prompt="A cute baby sea otter wearing a beret",
+                n=2,
+                size="1024x1024"
+              )
+            node.js: |-
+              import fs from "fs";
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const image = await openai.images.edit({
+                  image: fs.createReadStream("otter.png"),
+                  mask: fs.createReadStream("mask.png"),
+                  prompt: "A cute baby sea otter wearing a beret",
+                });
+
+                console.log(image.data);
+              }
+              main();
+            csharp: |
+              using System;
+
+              using OpenAI.Images;
+
+              ImageClient client = new(
+                  model: "dall-e-2",
+                  apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
+              );
+
+              GeneratedImage image = client.GenerateImageEdit(
+                  imageFilePath: "otter.png",
+                  prompt: "A cute baby sea otter wearing a beret",
+                  maskFilePath: "mask.png"
+              );
+
+              Console.WriteLine(image.ImageUri);
+          response: |
+            {
+              "created": 1589478378,
+              "data": [
+                {
+                  "url": "https://..."
+                },
+                {
+                  "url": "https://..."
+                }
+              ]
+            }
+  /images/generations:
+    post:
+      operationId: createImage
+      tags:
+        - Images
+      summary: Creates an image given a prompt.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/CreateImageRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ImagesResponse"
+      x-oaiMeta:
+        name: Create image
+        group: images
+        returns: Returns a list of [image](/docs/api-reference/images/object) objects.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/images/generations \
+                -H "Content-Type: application/json" \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -d '{
+                  "model": "dall-e-3",
+                  "prompt": "A cute baby sea otter",
+                  "n": 1,
+                  "size": "1024x1024"
+                }'
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.images.generate(
+                model="dall-e-3",
+                prompt="A cute baby sea otter",
+                n=1,
+                size="1024x1024"
+              )
+            node.js: >-
+              import OpenAI from "openai";
+
+
+              const openai = new OpenAI();
+
+
+              async function main() {
+                const image = await openai.images.generate({ model: "dall-e-3", prompt: "A cute baby sea otter" });
+
+                console.log(image.data);
+              }
+
+              main();
+            csharp: >
+              using System;
+
+
+              using OpenAI.Images;
+
+
+              ImageClient client = new(
+                  model: "dall-e-3",
+                  apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
+              );
+
+
+              GeneratedImage image = client.GenerateImage(prompt: "A cute baby
+              sea otter.");
+
+
+              Console.WriteLine(image.ImageUri);
+          response: |
+            {
+              "created": 1589478378,
+              "data": [
+                {
+                  "url": "https://..."
+                },
+                {
+                  "url": "https://..."
+                }
+              ]
+            }
+  /images/variations:
+    post:
+      operationId: createImageVariation
+      tags:
+        - Images
+      summary: Creates a variation of a given image.
+      requestBody:
+        required: true
+        content:
+          multipart/form-data:
+            schema:
+              $ref: "#/components/schemas/CreateImageVariationRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ImagesResponse"
+      x-oaiMeta:
+        name: Create image variation
+        group: images
+        returns: Returns a list of [image](/docs/api-reference/images/object) objects.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/images/variations \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -F image="@otter.png" \
+                -F n=2 \
+                -F size="1024x1024"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              response = client.images.create_variation(
+                image=open("image_edit_original.png", "rb"),
+                n=2,
+                size="1024x1024"
+              )
+            node.js: |-
+              import fs from "fs";
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const image = await openai.images.createVariation({
+                  image: fs.createReadStream("otter.png"),
+                });
+
+                console.log(image.data);
+              }
+              main();
+            csharp: >
+              using System;
+
+
+              using OpenAI.Images;
+
+
+              ImageClient client = new(
+                  model: "dall-e-2",
+                  apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
+              );
+
+
+              GeneratedImage image =
+              client.GenerateImageVariation(imageFilePath: "otter.png");
+
+
+              Console.WriteLine(image.ImageUri);
+          response: |
+            {
+              "created": 1589478378,
+              "data": [
+                {
+                  "url": "https://..."
+                },
+                {
+                  "url": "https://..."
+                }
+              ]
+            }
+  /models:
+    get:
+      operationId: listModels
+      tags:
+        - Models
+      summary:
+        Lists the currently available models, and provides basic information
+        about each one such as the owner and availability.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ListModelsResponse"
+      x-oaiMeta:
+        name: List models
+        group: models
+        returns: A list of [model](/docs/api-reference/models/object) objects.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/models \
+                -H "Authorization: Bearer $OPENAI_API_KEY"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.models.list()
+            node.js: |-
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const list = await openai.models.list();
+
+                for await (const model of list) {
+                  console.log(model);
+                }
+              }
+              main();
+            csharp: |
+              using System;
+
+              using OpenAI.Models;
+
+              OpenAIModelClient client = new(
+                  apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
+              );
+
+              foreach (var model in client.GetModels().Value)
+              {
+                  Console.WriteLine(model.Id);
+              }
+          response: |
+            {
+              "object": "list",
+              "data": [
+                {
+                  "id": "model-id-0",
+                  "object": "model",
+                  "created": 1686935002,
+                  "owned_by": "organization-owner"
+                },
+                {
+                  "id": "model-id-1",
+                  "object": "model",
+                  "created": 1686935002,
+                  "owned_by": "organization-owner",
+                },
+                {
+                  "id": "model-id-2",
+                  "object": "model",
+                  "created": 1686935002,
+                  "owned_by": "openai"
+                },
+              ],
+              "object": "list"
+            }
+  /models/{model}:
+    get:
+      operationId: retrieveModel
+      tags:
+        - Models
+      summary:
+        Retrieves a model instance, providing basic information about the model
+        such as the owner and permissioning.
+      parameters:
+        - in: path
+          name: model
+          required: true
+          schema:
+            type: string
+            example: gpt-4o-mini
+          description: The ID of the model to use for this request
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/Model"
+      x-oaiMeta:
+        name: Retrieve model
+        group: models
+        returns:
+          The [model](/docs/api-reference/models/object) object matching the
+          specified ID.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/models/VAR_chat_model_id \
+                -H "Authorization: Bearer $OPENAI_API_KEY"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.models.retrieve("VAR_chat_model_id")
+            node.js: |-
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const model = await openai.models.retrieve("VAR_chat_model_id");
+
+                console.log(model);
+              }
+
+              main();
+            csharp: |
+              using System;
+              using System.ClientModel;
+
+              using OpenAI.Models;
+
+                OpenAIModelClient client = new(
+                  apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
+              );
+
+              ClientResult<OpenAIModel> model = client.GetModel("babbage-002");
+              Console.WriteLine(model.Value.Id);
+          response: |
+            {
+              "id": "VAR_chat_model_id",
+              "object": "model",
+              "created": 1686935002,
+              "owned_by": "openai"
+            }
+    delete:
+      operationId: deleteModel
+      tags:
+        - Models
+      summary: Delete a fine-tuned model. You must have the Owner role in your
+        organization to delete a model.
+      parameters:
+        - in: path
+          name: model
+          required: true
+          schema:
+            type: string
+            example: ft:gpt-4o-mini:acemeco:suffix:abc123
+          description: The model to delete
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/DeleteModelResponse"
+      x-oaiMeta:
+        name: Delete a fine-tuned model
+        group: models
+        returns: Deletion status.
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/models/ft:gpt-4o-mini:acemeco:suffix:abc123
+              \
+                -X DELETE \
+                -H "Authorization: Bearer $OPENAI_API_KEY"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              client.models.delete("ft:gpt-4o-mini:acemeco:suffix:abc123")
+            node.js: >-
+              import OpenAI from "openai";
+
+
+              const openai = new OpenAI();
+
+
+              async function main() {
+                const model = await openai.models.del("ft:gpt-4o-mini:acemeco:suffix:abc123");
+
+                console.log(model);
+              }
+
+              main();
+            csharp: >
+              using System;
+
+              using System.ClientModel;
+
+
+              using OpenAI.Models;
+
+
+              OpenAIModelClient client = new(
+                  apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
+              );
+
+
+              ClientResult success =
+              client.DeleteModel("ft:gpt-4o-mini:acemeco:suffix:abc123");
+
+              Console.WriteLine(success);
+          response: |
+            {
+              "id": "ft:gpt-4o-mini:acemeco:suffix:abc123",
+              "object": "model",
+              "deleted": true
+            }
+  /moderations:
+    post:
+      operationId: createModeration
+      tags:
+        - Moderations
+      summary: |
+        Classifies if text and/or image inputs are potentially harmful. Learn
+        more in the [moderation guide](/docs/guides/moderation).
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/CreateModerationRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/CreateModerationResponse"
+      x-oaiMeta:
+        name: Create moderation
+        group: moderations
+        returns: A [moderation](/docs/api-reference/moderations/object) object.
+        examples:
+          - title: Single string
+            request:
+              curl: |
+                curl https://api.openai.com/v1/moderations \
+                  -H "Content-Type: application/json" \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -d '{
+                    "input": "I want to kill them."
+                  }'
+              python: >
+                from openai import OpenAI
+
+                client = OpenAI()
+
+
+                moderation = client.moderations.create(input="I want to kill
+                them.")
+
+                print(moderation)
+              node.js: >
+                import OpenAI from "openai";
+
+
+                const openai = new OpenAI();
+
+
+                async function main() {
+                  const moderation = await openai.moderations.create({ input: "I want to kill them." });
+
+                  console.log(moderation);
+                }
+
+                main();
+              csharp: >
+                using System;
+
+                using System.ClientModel;
+
+
+                using OpenAI.Moderations;
+
+
+                ModerationClient client = new(
+                    model: "omni-moderation-latest",
+                    apiKey: Environment.GetEnvironmentVariable("OPENAI_API_KEY")
+                );
+
+
+                ClientResult<ModerationResult> moderation =
+                client.ClassifyText("I want to kill them.");
+            response: |
+              {
+                "id": "modr-AB8CjOTu2jiq12hp1AQPfeqFWaORR",
+                "model": "text-moderation-007",
+                "results": [
+                  {
+                    "flagged": true,
+                    "categories": {
+                      "sexual": false,
+                      "hate": false,
+                      "harassment": true,
+                      "self-harm": false,
+                      "sexual/minors": false,
+                      "hate/threatening": false,
+                      "violence/graphic": false,
+                      "self-harm/intent": false,
+                      "self-harm/instructions": false,
+                      "harassment/threatening": true,
+                      "violence": true
+                    },
+                    "category_scores": {
+                      "sexual": 0.000011726012417057063,
+                      "hate": 0.22706663608551025,
+                      "harassment": 0.5215635299682617,
+                      "self-harm": 2.227119921371923e-6,
+                      "sexual/minors": 7.107352217872176e-8,
+                      "hate/threatening": 0.023547329008579254,
+                      "violence/graphic": 0.00003391829886822961,
+                      "self-harm/intent": 1.646940972932498e-6,
+                      "self-harm/instructions": 1.1198755256458526e-9,
+                      "harassment/threatening": 0.5694745779037476,
+                      "violence": 0.9971134662628174
+                    }
+                  }
+                ]
+              }
+          - title: Image and text
+            request:
+              curl: >
+                curl https://api.openai.com/v1/moderations \
+                  -X POST \
+                  -H "Content-Type: application/json" \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -d '{
+                    "model": "omni-moderation-latest",
+                    "input": [
+                      { "type": "text", "text": "...text to classify goes here..." },
+                      {
+                        "type": "image_url",
+                        "image_url": {
+                          "url": "https://example.com/image.png"
+                        }
+                      }
+                    ]
+                  }'
+              python: >
+                from openai import OpenAI
+
+                client = OpenAI()
+
+
+                response = client.moderations.create(
+                    model="omni-moderation-latest",
+                    input=[
+                        {"type": "text", "text": "...text to classify goes here..."},
+                        {
+                            "type": "image_url",
+                            "image_url": {
+                                "url": "https://example.com/image.png",
+                                # can also use base64 encoded image URLs
+                                # "url": "data:image/jpeg;base64,abcdefg..."
+                            }
+                        },
+                    ],
+                )
+
+
+                print(response)
+              node.js: >
+                import OpenAI from "openai";
+
+                const openai = new OpenAI();
+
+
+                const moderation = await openai.moderations.create({
+                    model: "omni-moderation-latest",
+                    input: [
+                        { type: "text", text: "...text to classify goes here..." },
+                        {
+                            type: "image_url",
+                            image_url: {
+                                url: "https://example.com/image.png"
+                                // can also use base64 encoded image URLs
+                                // url: "data:image/jpeg;base64,abcdefg..."
+                            }
+                        }
+                    ],
+                });
+
+
+                console.log(moderation);
+            response: |
+              {
+                "id": "modr-0d9740456c391e43c445bf0f010940c7",
+                "model": "omni-moderation-latest",
+                "results": [
+                  {
+                    "flagged": true,
+                    "categories": {
+                      "harassment": true,
+                      "harassment/threatening": true,
+                      "sexual": false,
+                      "hate": false,
+                      "hate/threatening": false,
+                      "illicit": false,
+                      "illicit/violent": false,
+                      "self-harm/intent": false,
+                      "self-harm/instructions": false,
+                      "self-harm": false,
+                      "sexual/minors": false,
+                      "violence": true,
+                      "violence/graphic": true
+                    },
+                    "category_scores": {
+                      "harassment": 0.8189693396524255,
+                      "harassment/threatening": 0.804985420696006,
+                      "sexual": 1.573112165348997e-6,
+                      "hate": 0.007562942636942845,
+                      "hate/threatening": 0.004208854591835476,
+                      "illicit": 0.030535955153511665,
+                      "illicit/violent": 0.008925306722380033,
+                      "self-harm/intent": 0.00023023930975076432,
+                      "self-harm/instructions": 0.0002293869201073356,
+                      "self-harm": 0.012598046106750154,
+                      "sexual/minors": 2.212566909570261e-8,
+                      "violence": 0.9999992735124786,
+                      "violence/graphic": 0.843064871157054
+                    },
+                    "category_applied_input_types": {
+                      "harassment": [
+                        "text"
+                      ],
+                      "harassment/threatening": [
+                        "text"
+                      ],
+                      "sexual": [
+                        "text",
+                        "image"
+                      ],
+                      "hate": [
+                        "text"
+                      ],
+                      "hate/threatening": [
+                        "text"
+                      ],
+                      "illicit": [
+                        "text"
+                      ],
+                      "illicit/violent": [
+                        "text"
+                      ],
+                      "self-harm/intent": [
+                        "text",
+                        "image"
+                      ],
+                      "self-harm/instructions": [
+                        "text",
+                        "image"
+                      ],
+                      "self-harm": [
+                        "text",
+                        "image"
+                      ],
+                      "sexual/minors": [
+                        "text"
+                      ],
+                      "violence": [
+                        "text",
+                        "image"
+                      ],
+                      "violence/graphic": [
+                        "text",
+                        "image"
+                      ]
+                    }
+                  }
+                ]
+              }
+  /organization/admin_api_keys:
+    get:
+      summary: List organization API keys
+      operationId: admin-api-keys-list
+      description: Retrieve a paginated list of organization admin API keys.
+      parameters:
+        - in: query
+          name: after
+          required: false
+          schema:
+            type: string
+            nullable: true
+            description:
+              Return keys with IDs that come after this ID in the pagination
+              order.
+        - in: query
+          name: order
+          required: false
+          schema:
+            type: string
+            enum:
+              - asc
+              - desc
+            default: asc
+            description: Order results by creation time, ascending or descending.
+        - in: query
+          name: limit
+          required: false
+          schema:
+            type: integer
+            default: 20
+            description: Maximum number of keys to return.
+      responses:
+        "200":
+          description: A list of organization API keys.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ApiKeyList"
+      x-oaiMeta:
+        name: List admin API keys
+        group: administration
+        returns: A list of admin API key objects.
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/organization/admin_api_keys?after=key_abc&limit=20
+              \
+                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+                -H "Content-Type: application/json"
+          response: |
+            {
+              "object": "list",
+              "data": [
+                {
+                  "object": "organization.admin_api_key",
+                  "id": "key_abc",
+                  "name": "Main Admin Key",
+                  "redacted_value": "sk-admin...def",
+                  "created_at": 1711471533,
+                  "owner": {
+                    "type": "service_account",
+                    "object": "organization.service_account",
+                    "id": "sa_456",
+                    "name": "My Service Account",
+                    "created_at": 1711471533,
+                    "role": "member"
+                  }
+                }
+              ],
+              "first_id": "key_abc",
+              "last_id": "key_abc",
+              "has_more": false
+            }
+    post:
+      summary: Create an organization admin API key
+      operationId: admin-api-keys-create
+      description: Create a new admin-level API key for the organization.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              type: object
+              required:
+                - name
+              properties:
+                name:
+                  type: string
+                  example: New Admin Key
+      responses:
+        "200":
+          description: The newly created admin API key.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/AdminApiKey"
+      x-oaiMeta:
+        name: Create admin API key
+        group: administration
+        returns: The created admin API key object.
+        examples:
+          request:
+            curl: >
+              curl -X POST https://api.openai.com/v1/organization/admin_api_keys
+              \
+                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+                -H "Content-Type: application/json" \
+                -d '{
+                    "name": "New Admin Key"
+                }'
+          response: |
+            {
+              "object": "organization.admin_api_key",
+              "id": "key_xyz",
+              "name": "New Admin Key",
+              "redacted_value": "sk-admin...xyz",
+              "created_at": 1711471533,
+              "owner": {
+                "type": "user",
+                "object": "organization.user",
+                "id": "user_123",
+                "name": "John Doe",
+                "created_at": 1711471533,
+                "role": "owner"
+              },
+              "value": "sk-admin-1234abcd"
+            }
+  /organization/admin_api_keys/{key_id}:
+    get:
+      summary: Retrieve a single organization API key
+      operationId: admin-api-keys-get
+      description: Get details for a specific organization API key by its ID.
+      parameters:
+        - in: path
+          name: key_id
+          required: true
+          schema:
+            type: string
+            description: The ID of the API key.
+      responses:
+        "200":
+          description: Details of the requested API key.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/AdminApiKey"
+      x-oaiMeta:
+        name: Retrieve admin API key
+        group: administration
+        returns: The requested admin API key object.
+        examples:
+          request:
+            curl: >
+              curl https://api.openai.com/v1/organization/admin_api_keys/key_abc
+              \
+                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+                -H "Content-Type: application/json"
+          response: |
+            {
+              "object": "organization.admin_api_key",
+              "id": "key_abc",
+              "name": "Main Admin Key",
+              "redacted_value": "sk-admin...xyz",
+              "created_at": 1711471533,
+              "owner": {
+                "type": "user",
+                "object": "organization.user",
+                "id": "user_123",
+                "name": "John Doe",
+                "created_at": 1711471533,
+                "role": "owner"
+              }
+            }
+    delete:
+      summary: Delete an organization admin API key
+      operationId: admin-api-keys-delete
+      description: Delete the specified admin API key.
+      parameters:
+        - in: path
+          name: key_id
+          required: true
+          schema:
+            type: string
+            description: The ID of the API key to be deleted.
+      responses:
+        "200":
+          description: Confirmation that the API key was deleted.
+          content:
+            application/json:
+              schema:
+                type: object
+                properties:
+                  id:
+                    type: string
+                    example: key_abc
+                  object:
+                    type: string
+                    example: organization.admin_api_key.deleted
+                  deleted:
+                    type: boolean
+                    example: true
+      x-oaiMeta:
+        name: Delete admin API key
+        group: administration
+        returns: A confirmation object indicating the key was deleted.
+        examples:
+          request:
+            curl: >
+              curl -X DELETE
+              https://api.openai.com/v1/organization/admin_api_keys/key_abc \
+                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+                -H "Content-Type: application/json"
+          response: |
+            {
+              "id": "key_abc",
+              "object": "organization.admin_api_key.deleted",
+              "deleted": true
+            }
+  /organization/audit_logs:
+    get:
+      summary: List user actions and configuration changes within this organization.
+      operationId: list-audit-logs
+      tags:
+        - Audit Logs
+      parameters:
+        - name: effective_at
+          in: query
+          description:
+            Return only events whose `effective_at` (Unix seconds) is in this
+            range.
+          required: false
+          schema:
+            type: object
+            properties:
+              gt:
+                type: integer
+                description:
+                  Return only events whose `effective_at` (Unix seconds) is greater
+                  than this value.
+              gte:
+                type: integer
+                description:
+                  Return only events whose `effective_at` (Unix seconds) is greater
+                  than or equal to this value.
+              lt:
+                type: integer
+                description:
+                  Return only events whose `effective_at` (Unix seconds) is less than
+                  this value.
+              lte:
+                type: integer
+                description:
+                  Return only events whose `effective_at` (Unix seconds) is less than
+                  or equal to this value.
+        - name: project_ids[]
+          in: query
+          description: Return only events for these projects.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+        - name: event_types[]
+          in: query
+          description:
+            Return only events with a `type` in one of these values. For
+            example, `project.created`. For all options, see the documentation
+            for the [audit log object](/docs/api-reference/audit-logs/object).
+          required: false
+          schema:
+            type: array
+            items:
+              $ref: "#/components/schemas/AuditLogEventType"
+        - name: actor_ids[]
+          in: query
+          description:
+            Return only events performed by these actors. Can be a user ID, a
+            service account ID, or an api key tracking ID.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+        - name: actor_emails[]
+          in: query
+          description: Return only events performed by users with these emails.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+        - name: resource_ids[]
+          in: query
+          description:
+            Return only events performed on these targets. For example, a
+            project ID updated.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+        - name: limit
+          in: query
+          description: >
+            A limit on the number of objects to be returned. Limit can range
+            between 1 and 100, and the default is 20.
+          required: false
+          schema:
+            type: integer
+            default: 20
+        - name: after
+          in: query
+          description: >
+            A cursor for use in pagination. `after` is an object ID that defines
+            your place in the list. For instance, if you make a list request and
+            receive 100 objects, ending with obj_foo, your subsequent call can
+            include after=obj_foo in order to fetch the next page of the list.
+          schema:
+            type: string
+        - name: before
+          in: query
+          description: >
+            A cursor for use in pagination. `before` is an object ID that
+            defines your place in the list. For instance, if you make a list
+            request and receive 100 objects, starting with obj_foo, your
+            subsequent call can include before=obj_foo in order to fetch the
+            previous page of the list.
+          schema:
+            type: string
+      responses:
+        "200":
+          description: Audit logs listed successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ListAuditLogsResponse"
+      x-oaiMeta:
+        name: List audit logs
+        group: audit-logs
+        returns:
+          A list of paginated [Audit Log](/docs/api-reference/audit-logs/object)
+          objects.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/organization/audit_logs \
+              -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+              -H "Content-Type: application/json"
+          response: >
+            {
+                "object": "list",
+                "data": [
+                    {
+                        "id": "audit_log-xxx_yyyymmdd",
+                        "type": "project.archived",
+                        "effective_at": 1722461446,
+                        "actor": {
+                            "type": "api_key",
+                            "api_key": {
+                                "type": "user",
+                                "user": {
+                                    "id": "user-xxx",
+                                    "email": "user@example.com"
+                                }
+                            }
+                        },
+                        "project.archived": {
+                            "id": "proj_abc"
+                        },
+                    },
+                    {
+                        "id": "audit_log-yyy__20240101",
+                        "type": "api_key.updated",
+                        "effective_at": 1720804190,
+                        "actor": {
+                            "type": "session",
+                            "session": {
+                                "user": {
+                                    "id": "user-xxx",
+                                    "email": "user@example.com"
+                                },
+                                "ip_address": "127.0.0.1",
+                                "user_agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36",
+                                "ja3": "a497151ce4338a12c4418c44d375173e",
+                                "ja4": "q13d0313h3_55b375c5d22e_c7319ce65786",
+                                "ip_address_details": {
+                                  "country": "US",
+                                  "city": "San Francisco",
+                                  "region": "California",
+                                  "region_code": "CA",
+                                  "asn": "1234",
+                                  "latitude": "37.77490",
+                                  "longitude": "-122.41940"
+                                }
+                            }
+                        },
+                        "api_key.updated": {
+                            "id": "key_xxxx",
+                            "data": {
+                                "scopes": ["resource_2.operation_2"]
+                            }
+                        },
+                    }
+                ],
+                "first_id": "audit_log-xxx__20240101",
+                "last_id": "audit_log_yyy__20240101",
+                "has_more": true
+            }
+  /organization/costs:
+    get:
+      summary: Get costs details for the organization.
+      operationId: usage-costs
+      tags:
+        - Usage
+      parameters:
+        - name: start_time
+          in: query
+          description: Start time (Unix seconds) of the query time range, inclusive.
+          required: true
+          schema:
+            type: integer
+        - name: end_time
+          in: query
+          description: End time (Unix seconds) of the query time range, exclusive.
+          required: false
+          schema:
+            type: integer
+        - name: bucket_width
+          in: query
+          description:
+            Width of each time bucket in response. Currently only `1d` is
+            supported, default to `1d`.
+          required: false
+          schema:
+            type: string
+            enum:
+              - 1d
+            default: 1d
+        - name: project_ids
+          in: query
+          description: Return only costs for these projects.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+        - name: group_by
+          in: query
+          description:
+            Group the costs by the specified fields. Support fields include
+            `project_id`, `line_item` and any combination of them.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+              enum:
+                - project_id
+                - line_item
+        - name: limit
+          in: query
+          description: >
+            A limit on the number of buckets to be returned. Limit can range
+            between 1 and 180, and the default is 7.
+          required: false
+          schema:
+            type: integer
+            default: 7
+        - name: page
+          in: query
+          description:
+            A cursor for use in pagination. Corresponding to the `next_page`
+            field from the previous response.
+          schema:
+            type: string
+      responses:
+        "200":
+          description: Costs data retrieved successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/UsageResponse"
+      x-oaiMeta:
+        name: Costs
+        group: usage-costs
+        returns: A list of paginated, time bucketed
+          [Costs](/docs/api-reference/usage/costs_object) objects.
+        examples:
+          request:
+            curl: >
+              curl
+              "https://api.openai.com/v1/organization/costs?start_time=1730419200&limit=1"
+              \
+
+              -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+
+              -H "Content-Type: application/json"
+          response: |
+            {
+                "object": "page",
+                "data": [
+                    {
+                        "object": "bucket",
+                        "start_time": 1730419200,
+                        "end_time": 1730505600,
+                        "results": [
+                            {
+                                "object": "organization.costs.result",
+                                "amount": {
+                                    "value": 0.06,
+                                    "currency": "usd"
+                                },
+                                "line_item": null,
+                                "project_id": null
+                            }
+                        ]
+                    }
+                ],
+                "has_more": false,
+                "next_page": null
+            }
+  /organization/invites:
+    get:
+      summary: Returns a list of invites in the organization.
+      operationId: list-invites
+      tags:
+        - Invites
+      parameters:
+        - name: limit
+          in: query
+          description: >
+            A limit on the number of objects to be returned. Limit can range
+            between 1 and 100, and the default is 20.
+          required: false
+          schema:
+            type: integer
+            default: 20
+        - name: after
+          in: query
+          description: >
+            A cursor for use in pagination. `after` is an object ID that defines
+            your place in the list. For instance, if you make a list request and
+            receive 100 objects, ending with obj_foo, your subsequent call can
+            include after=obj_foo in order to fetch the next page of the list.
+          required: false
+          schema:
+            type: string
+      responses:
+        "200":
+          description: Invites listed successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/InviteListResponse"
+      x-oaiMeta:
+        name: List invites
+        group: administration
+        returns: A list of [Invite](/docs/api-reference/invite/object) objects.
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/organization/invites?after=invite-abc&limit=20
+              \
+                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+                -H "Content-Type: application/json"
+          response: |
+            {
+              "object": "list",
+              "data": [
+                {
+                  "object": "organization.invite",
+                  "id": "invite-abc",
+                  "email": "user@example.com",
+                  "role": "owner",
+                  "status": "accepted",
+                  "invited_at": 1711471533,
+                  "expires_at": 1711471533,
+                  "accepted_at": 1711471533
+                }
+              ],
+              "first_id": "invite-abc",
+              "last_id": "invite-abc",
+              "has_more": false
+            }
+    post:
+      summary:
+        Create an invite for a user to the organization. The invite must be
+        accepted by the user before they have access to the organization.
+      operationId: inviteUser
+      tags:
+        - Invites
+      requestBody:
+        description: The invite request payload.
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/InviteRequest"
+      responses:
+        "200":
+          description: User invited successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/Invite"
+      x-oaiMeta:
+        name: Create invite
+        group: administration
+        returns: The created [Invite](/docs/api-reference/invite/object) object.
+        examples:
+          request:
+            curl: |
+              curl -X POST https://api.openai.com/v1/organization/invites \
+                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+                -H "Content-Type: application/json" \
+                -d '{
+                    "email": "anotheruser@example.com",
+                    "role": "reader",
+                    "projects": [
+                      {
+                        "id": "project-xyz",
+                        "role": "member"
+                      },
+                      {
+                        "id": "project-abc",
+                        "role": "owner"
+                      }
+                    ]
+                }'
+          response: |
+            {
+              "object": "organization.invite",
+              "id": "invite-def",
+              "email": "anotheruser@example.com",
+              "role": "reader",
+              "status": "pending",
+              "invited_at": 1711471533,
+              "expires_at": 1711471533,
+              "accepted_at": null,
+              "projects": [
+                {
+                  "id": "project-xyz",
+                  "role": "member"
+                },
+                {
+                  "id": "project-abc",
+                  "role": "owner"
+                }
+              ]
+            }
+  /organization/invites/{invite_id}:
+    get:
+      summary: Retrieves an invite.
+      operationId: retrieve-invite
+      tags:
+        - Invites
+      parameters:
+        - in: path
+          name: invite_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the invite to retrieve.
+      responses:
+        "200":
+          description: Invite retrieved successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/Invite"
+      x-oaiMeta:
+        name: Retrieve invite
+        group: administration
+        returns:
+          The [Invite](/docs/api-reference/invite/object) object matching the
+          specified ID.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/organization/invites/invite-abc \
+                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+                -H "Content-Type: application/json"
+          response: |
+            {
+                "object": "organization.invite",
+                "id": "invite-abc",
+                "email": "user@example.com",
+                "role": "owner",
+                "status": "accepted",
+                "invited_at": 1711471533,
+                "expires_at": 1711471533,
+                "accepted_at": 1711471533
+            }
+    delete:
+      summary:
+        Delete an invite. If the invite has already been accepted, it cannot be
+        deleted.
+      operationId: delete-invite
+      tags:
+        - Invites
+      parameters:
+        - in: path
+          name: invite_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the invite to delete.
+      responses:
+        "200":
+          description: Invite deleted successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/InviteDeleteResponse"
+      x-oaiMeta:
+        name: Delete invite
+        group: administration
+        returns: Confirmation that the invite has been deleted
+        examples:
+          request:
+            curl: >
+              curl -X DELETE
+              https://api.openai.com/v1/organization/invites/invite-abc \
+                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+                -H "Content-Type: application/json"
+          response: |
+            {
+                "object": "organization.invite.deleted",
+                "id": "invite-abc",
+                "deleted": true
+            }
+  /organization/projects:
+    get:
+      summary: Returns a list of projects.
+      operationId: list-projects
+      tags:
+        - Projects
+      parameters:
+        - name: limit
+          in: query
+          description: >
+            A limit on the number of objects to be returned. Limit can range
+            between 1 and 100, and the default is 20.
+          required: false
+          schema:
+            type: integer
+            default: 20
+        - name: after
+          in: query
+          description: >
+            A cursor for use in pagination. `after` is an object ID that defines
+            your place in the list. For instance, if you make a list request and
+            receive 100 objects, ending with obj_foo, your subsequent call can
+            include after=obj_foo in order to fetch the next page of the list.
+          required: false
+          schema:
+            type: string
+        - name: include_archived
+          in: query
+          schema:
+            type: boolean
+            default: false
+          description:
+            If `true` returns all projects including those that have been
+            `archived`. Archived projects are not included by default.
+      responses:
+        "200":
+          description: Projects listed successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ProjectListResponse"
+      x-oaiMeta:
+        name: List projects
+        group: administration
+        returns: A list of [Project](/docs/api-reference/projects/object) objects.
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/organization/projects?after=proj_abc&limit=20&include_archived=false
+              \
+                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+                -H "Content-Type: application/json"
+          response: |
+            {
+                "object": "list",
+                "data": [
+                    {
+                        "id": "proj_abc",
+                        "object": "organization.project",
+                        "name": "Project example",
+                        "created_at": 1711471533,
+                        "archived_at": null,
+                        "status": "active"
+                    }
+                ],
+                "first_id": "proj-abc",
+                "last_id": "proj-xyz",
+                "has_more": false
+            }
+    post:
+      summary:
+        Create a new project in the organization. Projects can be created and
+        archived, but cannot be deleted.
+      operationId: create-project
+      tags:
+        - Projects
+      requestBody:
+        description: The project create request payload.
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/ProjectCreateRequest"
+      responses:
+        "200":
+          description: Project created successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/Project"
+      x-oaiMeta:
+        name: Create project
+        group: administration
+        returns: The created [Project](/docs/api-reference/projects/object) object.
+        examples:
+          request:
+            curl: |
+              curl -X POST https://api.openai.com/v1/organization/projects \
+                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+                -H "Content-Type: application/json" \
+                -d '{
+                    "name": "Project ABC"
+                }'
+          response: |
+            {
+                "id": "proj_abc",
+                "object": "organization.project",
+                "name": "Project ABC",
+                "created_at": 1711471533,
+                "archived_at": null,
+                "status": "active"
+            }
+  /organization/projects/{project_id}:
+    get:
+      summary: Retrieves a project.
+      operationId: retrieve-project
+      tags:
+        - Projects
+      parameters:
+        - name: project_id
+          in: path
+          description: The ID of the project.
+          required: true
+          schema:
+            type: string
+      responses:
+        "200":
+          description: Project retrieved successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/Project"
+      x-oaiMeta:
+        name: Retrieve project
+        group: administration
+        description: Retrieve a project.
+        returns:
+          The [Project](/docs/api-reference/projects/object) object matching the
+          specified ID.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/organization/projects/proj_abc \
+                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+                -H "Content-Type: application/json"
+          response: |
+            {
+                "id": "proj_abc",
+                "object": "organization.project",
+                "name": "Project example",
+                "created_at": 1711471533,
+                "archived_at": null,
+                "status": "active"
+            }
+    post:
+      summary: Modifies a project in the organization.
+      operationId: modify-project
+      tags:
+        - Projects
+      parameters:
+        - name: project_id
+          in: path
+          description: The ID of the project.
+          required: true
+          schema:
+            type: string
+      requestBody:
+        description: The project update request payload.
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/ProjectUpdateRequest"
+      responses:
+        "200":
+          description: Project updated successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/Project"
+        "400":
+          description: Error response when updating the default project.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ErrorResponse"
+      x-oaiMeta:
+        name: Modify project
+        group: administration
+        returns: The updated [Project](/docs/api-reference/projects/object) object.
+        examples:
+          request:
+            curl: >
+              curl -X POST
+              https://api.openai.com/v1/organization/projects/proj_abc \
+                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+                -H "Content-Type: application/json" \
+                -d '{
+                    "name": "Project DEF"
+                }'
+  /organization/projects/{project_id}/api_keys:
+    get:
+      summary: Returns a list of API keys in the project.
+      operationId: list-project-api-keys
+      tags:
+        - Projects
+      parameters:
+        - name: project_id
+          in: path
+          description: The ID of the project.
+          required: true
+          schema:
+            type: string
+        - name: limit
+          in: query
+          description: >
+            A limit on the number of objects to be returned. Limit can range
+            between 1 and 100, and the default is 20.
+          required: false
+          schema:
+            type: integer
+            default: 20
+        - name: after
+          in: query
+          description: >
+            A cursor for use in pagination. `after` is an object ID that defines
+            your place in the list. For instance, if you make a list request and
+            receive 100 objects, ending with obj_foo, your subsequent call can
+            include after=obj_foo in order to fetch the next page of the list.
+          required: false
+          schema:
+            type: string
+      responses:
+        "200":
+          description: Project API keys listed successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ProjectApiKeyListResponse"
+      x-oaiMeta:
+        name: List project API keys
+        group: administration
+        returns:
+          A list of [ProjectApiKey](/docs/api-reference/project-api-keys/object)
+          objects.
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/organization/projects/proj_abc/api_keys?after=key_abc&limit=20
+              \
+                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+                -H "Content-Type: application/json"
+          response: |
+            {
+                "object": "list",
+                "data": [
+                    {
+                        "object": "organization.project.api_key",
+                        "redacted_value": "sk-abc...def",
+                        "name": "My API Key",
+                        "created_at": 1711471533,
+                        "id": "key_abc",
+                        "owner": {
+                            "type": "user",
+                            "user": {
+                                "object": "organization.project.user",
+                                "id": "user_abc",
+                                "name": "First Last",
+                                "email": "user@example.com",
+                                "role": "owner",
+                                "added_at": 1711471533
+                            }
+                        }
+                    }
+                ],
+                "first_id": "key_abc",
+                "last_id": "key_xyz",
+                "has_more": false
+            }
+  /organization/projects/{project_id}/api_keys/{key_id}:
+    get:
+      summary: Retrieves an API key in the project.
+      operationId: retrieve-project-api-key
+      tags:
+        - Projects
+      parameters:
+        - name: project_id
+          in: path
+          description: The ID of the project.
+          required: true
+          schema:
+            type: string
+        - name: key_id
+          in: path
+          description: The ID of the API key.
+          required: true
+          schema:
+            type: string
+      responses:
+        "200":
+          description: Project API key retrieved successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ProjectApiKey"
+      x-oaiMeta:
+        name: Retrieve project API key
+        group: administration
+        returns:
+          The [ProjectApiKey](/docs/api-reference/project-api-keys/object) object
+          matching the specified ID.
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/organization/projects/proj_abc/api_keys/key_abc
+              \
+                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+                -H "Content-Type: application/json"
+          response: |
+            {
+                "object": "organization.project.api_key",
+                "redacted_value": "sk-abc...def",
+                "name": "My API Key",
+                "created_at": 1711471533,
+                "id": "key_abc",
+                "owner": {
+                    "type": "user",
+                    "user": {
+                        "object": "organization.project.user",
+                        "id": "user_abc",
+                        "name": "First Last",
+                        "email": "user@example.com",
+                        "role": "owner",
+                        "added_at": 1711471533
+                    }
+                }
+            }
+    delete:
+      summary: Deletes an API key from the project.
+      operationId: delete-project-api-key
+      tags:
+        - Projects
+      parameters:
+        - name: project_id
+          in: path
+          description: The ID of the project.
+          required: true
+          schema:
+            type: string
+        - name: key_id
+          in: path
+          description: The ID of the API key.
+          required: true
+          schema:
+            type: string
+      responses:
+        "200":
+          description: Project API key deleted successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ProjectApiKeyDeleteResponse"
+        "400":
+          description: Error response for various conditions.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ErrorResponse"
+      x-oaiMeta:
+        name: Delete project API key
+        group: administration
+        returns:
+          Confirmation of the key's deletion or an error if the key belonged to a
+          service account
+        examples:
+          request:
+            curl: >
+              curl -X DELETE
+              https://api.openai.com/v1/organization/projects/proj_abc/api_keys/key_abc
+              \
+                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+                -H "Content-Type: application/json"
+          response: |
+            {
+                "object": "organization.project.api_key.deleted",
+                "id": "key_abc",
+                "deleted": true
+            }
+  /organization/projects/{project_id}/archive:
+    post:
+      summary:
+        Archives a project in the organization. Archived projects cannot be
+        used or updated.
+      operationId: archive-project
+      tags:
+        - Projects
+      parameters:
+        - name: project_id
+          in: path
+          description: The ID of the project.
+          required: true
+          schema:
+            type: string
+      responses:
+        "200":
+          description: Project archived successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/Project"
+      x-oaiMeta:
+        name: Archive project
+        group: administration
+        returns: The archived [Project](/docs/api-reference/projects/object) object.
+        examples:
+          request:
+            curl: >
+              curl -X POST
+              https://api.openai.com/v1/organization/projects/proj_abc/archive \
+                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+                -H "Content-Type: application/json"
+          response: |
+            {
+                "id": "proj_abc",
+                "object": "organization.project",
+                "name": "Project DEF",
+                "created_at": 1711471533,
+                "archived_at": 1711471533,
+                "status": "archived"
+            }
+  /organization/projects/{project_id}/rate_limits:
+    get:
+      summary: Returns the rate limits per model for a project.
+      operationId: list-project-rate-limits
+      tags:
+        - Projects
+      parameters:
+        - name: project_id
+          in: path
+          description: The ID of the project.
+          required: true
+          schema:
+            type: string
+        - name: limit
+          in: query
+          description: |
+            A limit on the number of objects to be returned. The default is 100.
+          required: false
+          schema:
+            type: integer
+            default: 100
+        - name: after
+          in: query
+          description: >
+            A cursor for use in pagination. `after` is an object ID that defines
+            your place in the list. For instance, if you make a list request and
+            receive 100 objects, ending with obj_foo, your subsequent call can
+            include after=obj_foo in order to fetch the next page of the list.
+          required: false
+          schema:
+            type: string
+        - name: before
+          in: query
+          description: >
+            A cursor for use in pagination. `before` is an object ID that
+            defines your place in the list. For instance, if you make a list
+            request and receive 100 objects, beginning with obj_foo, your
+            subsequent call can include before=obj_foo in order to fetch the
+            previous page of the list.
+          required: false
+          schema:
+            type: string
+      responses:
+        "200":
+          description: Project rate limits listed successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ProjectRateLimitListResponse"
+      x-oaiMeta:
+        name: List project rate limits
+        group: administration
+        returns: A list of
+          [ProjectRateLimit](/docs/api-reference/project-rate-limits/object)
+          objects.
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/organization/projects/proj_abc/rate_limits?after=rl_xxx&limit=20
+              \
+                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+                -H "Content-Type: application/json"
+          response: |
+            {
+                "object": "list",
+                "data": [
+                    {
+                      "object": "project.rate_limit",
+                      "id": "rl-ada",
+                      "model": "ada",
+                      "max_requests_per_1_minute": 600,
+                      "max_tokens_per_1_minute": 150000,
+                      "max_images_per_1_minute": 10
+                    }
+                ],
+                "first_id": "rl-ada",
+                "last_id": "rl-ada",
+                "has_more": false
+            }
+          error_response: |
+            {
+                "code": 404,
+                "message": "The project {project_id} was not found"
+            }
+  /organization/projects/{project_id}/rate_limits/{rate_limit_id}:
+    post:
+      summary: Updates a project rate limit.
+      operationId: update-project-rate-limits
+      tags:
+        - Projects
+      parameters:
+        - name: project_id
+          in: path
+          description: The ID of the project.
+          required: true
+          schema:
+            type: string
+        - name: rate_limit_id
+          in: path
+          description: The ID of the rate limit.
+          required: true
+          schema:
+            type: string
+      requestBody:
+        description: The project rate limit update request payload.
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/ProjectRateLimitUpdateRequest"
+      responses:
+        "200":
+          description: Project rate limit updated successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ProjectRateLimit"
+        "400":
+          description: Error response for various conditions.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ErrorResponse"
+      x-oaiMeta:
+        name: Modify project rate limit
+        group: administration
+        returns: The updated
+          [ProjectRateLimit](/docs/api-reference/project-rate-limits/object)
+          object.
+        examples:
+          request:
+            curl: >
+              curl -X POST
+              https://api.openai.com/v1/organization/projects/proj_abc/rate_limits/rl_xxx
+              \
+                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+                -H "Content-Type: application/json" \
+                -d '{
+                    "max_requests_per_1_minute": 500
+                }'
+          response: |
+            {
+                "object": "project.rate_limit",
+                "id": "rl-ada",
+                "model": "ada",
+                "max_requests_per_1_minute": 600,
+                "max_tokens_per_1_minute": 150000,
+                "max_images_per_1_minute": 10
+              }
+          error_response: |
+            {
+                "code": 404,
+                "message": "The project {project_id} was not found"
+            }
+  /organization/projects/{project_id}/service_accounts:
+    get:
+      summary: Returns a list of service accounts in the project.
+      operationId: list-project-service-accounts
+      tags:
+        - Projects
+      parameters:
+        - name: project_id
+          in: path
+          description: The ID of the project.
+          required: true
+          schema:
+            type: string
+        - name: limit
+          in: query
+          description: >
+            A limit on the number of objects to be returned. Limit can range
+            between 1 and 100, and the default is 20.
+          required: false
+          schema:
+            type: integer
+            default: 20
+        - name: after
+          in: query
+          description: >
+            A cursor for use in pagination. `after` is an object ID that defines
+            your place in the list. For instance, if you make a list request and
+            receive 100 objects, ending with obj_foo, your subsequent call can
+            include after=obj_foo in order to fetch the next page of the list.
+          required: false
+          schema:
+            type: string
+      responses:
+        "200":
+          description: Project service accounts listed successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ProjectServiceAccountListResponse"
+        "400":
+          description: Error response when project is archived.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ErrorResponse"
+      x-oaiMeta:
+        name: List project service accounts
+        group: administration
+        returns: A list of
+          [ProjectServiceAccount](/docs/api-reference/project-service-accounts/object)
+          objects.
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/organization/projects/proj_abc/service_accounts?after=custom_id&limit=20
+              \
+                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+                -H "Content-Type: application/json"
+          response: |
+            {
+                "object": "list",
+                "data": [
+                    {
+                        "object": "organization.project.service_account",
+                        "id": "svc_acct_abc",
+                        "name": "Service Account",
+                        "role": "owner",
+                        "created_at": 1711471533
+                    }
+                ],
+                "first_id": "svc_acct_abc",
+                "last_id": "svc_acct_xyz",
+                "has_more": false
+            }
+    post:
+      summary:
+        Creates a new service account in the project. This also returns an
+        unredacted API key for the service account.
+      operationId: create-project-service-account
+      tags:
+        - Projects
+      parameters:
+        - name: project_id
+          in: path
+          description: The ID of the project.
+          required: true
+          schema:
+            type: string
+      requestBody:
+        description: The project service account create request payload.
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/ProjectServiceAccountCreateRequest"
+      responses:
+        "200":
+          description: Project service account created successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ProjectServiceAccountCreateResponse"
+        "400":
+          description: Error response when project is archived.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ErrorResponse"
+      x-oaiMeta:
+        name: Create project service account
+        group: administration
+        returns: The created
+          [ProjectServiceAccount](/docs/api-reference/project-service-accounts/object)
+          object.
+        examples:
+          request:
+            curl: >
+              curl -X POST
+              https://api.openai.com/v1/organization/projects/proj_abc/service_accounts
+              \
+                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+                -H "Content-Type: application/json" \
+                -d '{
+                    "name": "Production App"
+                }'
+          response: |
+            {
+                "object": "organization.project.service_account",
+                "id": "svc_acct_abc",
+                "name": "Production App",
+                "role": "member",
+                "created_at": 1711471533,
+                "api_key": {
+                    "object": "organization.project.service_account.api_key",
+                    "value": "sk-abcdefghijklmnop123",
+                    "name": "Secret Key",
+                    "created_at": 1711471533,
+                    "id": "key_abc"
+                }
+            }
+  /organization/projects/{project_id}/service_accounts/{service_account_id}:
+    get:
+      summary: Retrieves a service account in the project.
+      operationId: retrieve-project-service-account
+      tags:
+        - Projects
+      parameters:
+        - name: project_id
+          in: path
+          description: The ID of the project.
+          required: true
+          schema:
+            type: string
+        - name: service_account_id
+          in: path
+          description: The ID of the service account.
+          required: true
+          schema:
+            type: string
+      responses:
+        "200":
+          description: Project service account retrieved successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ProjectServiceAccount"
+      x-oaiMeta:
+        name: Retrieve project service account
+        group: administration
+        returns: The
+          [ProjectServiceAccount](/docs/api-reference/project-service-accounts/object)
+          object matching the specified ID.
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/organization/projects/proj_abc/service_accounts/svc_acct_abc
+              \
+                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+                -H "Content-Type: application/json"
+          response: |
+            {
+                "object": "organization.project.service_account",
+                "id": "svc_acct_abc",
+                "name": "Service Account",
+                "role": "owner",
+                "created_at": 1711471533
+            }
+    delete:
+      summary: Deletes a service account from the project.
+      operationId: delete-project-service-account
+      tags:
+        - Projects
+      parameters:
+        - name: project_id
+          in: path
+          description: The ID of the project.
+          required: true
+          schema:
+            type: string
+        - name: service_account_id
+          in: path
+          description: The ID of the service account.
+          required: true
+          schema:
+            type: string
+      responses:
+        "200":
+          description: Project service account deleted successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ProjectServiceAccountDeleteResponse"
+      x-oaiMeta:
+        name: Delete project service account
+        group: administration
+        returns:
+          Confirmation of service account being deleted, or an error in case of
+          an archived project, which has no service accounts
+        examples:
+          request:
+            curl: >
+              curl -X DELETE
+              https://api.openai.com/v1/organization/projects/proj_abc/service_accounts/svc_acct_abc
+              \
+                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+                -H "Content-Type: application/json"
+          response: |
+            {
+                "object": "organization.project.service_account.deleted",
+                "id": "svc_acct_abc",
+                "deleted": true
+            }
+  /organization/projects/{project_id}/users:
+    get:
+      summary: Returns a list of users in the project.
+      operationId: list-project-users
+      tags:
+        - Projects
+      parameters:
+        - name: project_id
+          in: path
+          description: The ID of the project.
+          required: true
+          schema:
+            type: string
+        - name: limit
+          in: query
+          description: >
+            A limit on the number of objects to be returned. Limit can range
+            between 1 and 100, and the default is 20.
+          required: false
+          schema:
+            type: integer
+            default: 20
+        - name: after
+          in: query
+          description: >
+            A cursor for use in pagination. `after` is an object ID that defines
+            your place in the list. For instance, if you make a list request and
+            receive 100 objects, ending with obj_foo, your subsequent call can
+            include after=obj_foo in order to fetch the next page of the list.
+          required: false
+          schema:
+            type: string
+      responses:
+        "200":
+          description: Project users listed successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ProjectUserListResponse"
+        "400":
+          description: Error response when project is archived.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ErrorResponse"
+      x-oaiMeta:
+        name: List project users
+        group: administration
+        returns:
+          A list of [ProjectUser](/docs/api-reference/project-users/object)
+          objects.
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/organization/projects/proj_abc/users?after=user_abc&limit=20
+              \
+                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+                -H "Content-Type: application/json"
+          response: |
+            {
+                "object": "list",
+                "data": [
+                    {
+                        "object": "organization.project.user",
+                        "id": "user_abc",
+                        "name": "First Last",
+                        "email": "user@example.com",
+                        "role": "owner",
+                        "added_at": 1711471533
+                    }
+                ],
+                "first_id": "user-abc",
+                "last_id": "user-xyz",
+                "has_more": false
+            }
+    post:
+      summary: Adds a user to the project. Users must already be members of the
+        organization to be added to a project.
+      operationId: create-project-user
+      parameters:
+        - name: project_id
+          in: path
+          description: The ID of the project.
+          required: true
+          schema:
+            type: string
+      tags:
+        - Projects
+      requestBody:
+        description: The project user create request payload.
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/ProjectUserCreateRequest"
+      responses:
+        "200":
+          description: User added to project successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ProjectUser"
+        "400":
+          description: Error response for various conditions.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ErrorResponse"
+      x-oaiMeta:
+        name: Create project user
+        group: administration
+        returns:
+          The created [ProjectUser](/docs/api-reference/project-users/object)
+          object.
+        examples:
+          request:
+            curl: >
+              curl -X POST
+              https://api.openai.com/v1/organization/projects/proj_abc/users \
+                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+                -H "Content-Type: application/json" \
+                -d '{
+                    "user_id": "user_abc",
+                    "role": "member"
+                }'
+          response: |
+            {
+                "object": "organization.project.user",
+                "id": "user_abc",
+                "email": "user@example.com",
+                "role": "owner",
+                "added_at": 1711471533
+            }
+  /organization/projects/{project_id}/users/{user_id}:
+    get:
+      summary: Retrieves a user in the project.
+      operationId: retrieve-project-user
+      tags:
+        - Projects
+      parameters:
+        - name: project_id
+          in: path
+          description: The ID of the project.
+          required: true
+          schema:
+            type: string
+        - name: user_id
+          in: path
+          description: The ID of the user.
+          required: true
+          schema:
+            type: string
+      responses:
+        "200":
+          description: Project user retrieved successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ProjectUser"
+      x-oaiMeta:
+        name: Retrieve project user
+        group: administration
+        returns:
+          The [ProjectUser](/docs/api-reference/project-users/object) object
+          matching the specified ID.
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/organization/projects/proj_abc/users/user_abc
+              \
+                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+                -H "Content-Type: application/json"
+          response: |
+            {
+                "object": "organization.project.user",
+                "id": "user_abc",
+                "name": "First Last",
+                "email": "user@example.com",
+                "role": "owner",
+                "added_at": 1711471533
+            }
+    post:
+      summary: Modifies a user's role in the project.
+      operationId: modify-project-user
+      tags:
+        - Projects
+      parameters:
+        - name: project_id
+          in: path
+          description: The ID of the project.
+          required: true
+          schema:
+            type: string
+        - name: user_id
+          in: path
+          description: The ID of the user.
+          required: true
+          schema:
+            type: string
+      requestBody:
+        description: The project user update request payload.
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/ProjectUserUpdateRequest"
+      responses:
+        "200":
+          description: Project user's role updated successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ProjectUser"
+        "400":
+          description: Error response for various conditions.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ErrorResponse"
+      x-oaiMeta:
+        name: Modify project user
+        group: administration
+        returns:
+          The updated [ProjectUser](/docs/api-reference/project-users/object)
+          object.
+        examples:
+          request:
+            curl: >
+              curl -X POST
+              https://api.openai.com/v1/organization/projects/proj_abc/users/user_abc
+              \
+                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+                -H "Content-Type: application/json" \
+                -d '{
+                    "role": "owner"
+                }'
+          response: |
+            {
+                "object": "organization.project.user",
+                "id": "user_abc",
+                "name": "First Last",
+                "email": "user@example.com",
+                "role": "owner",
+                "added_at": 1711471533
+            }
+    delete:
+      summary: Deletes a user from the project.
+      operationId: delete-project-user
+      tags:
+        - Projects
+      parameters:
+        - name: project_id
+          in: path
+          description: The ID of the project.
+          required: true
+          schema:
+            type: string
+        - name: user_id
+          in: path
+          description: The ID of the user.
+          required: true
+          schema:
+            type: string
+      responses:
+        "200":
+          description: Project user deleted successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ProjectUserDeleteResponse"
+        "400":
+          description: Error response for various conditions.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ErrorResponse"
+      x-oaiMeta:
+        name: Delete project user
+        group: administration
+        returns:
+          Confirmation that project has been deleted or an error in case of an
+          archived project, which has no users
+        examples:
+          request:
+            curl: >
+              curl -X DELETE
+              https://api.openai.com/v1/organization/projects/proj_abc/users/user_abc
+              \
+                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+                -H "Content-Type: application/json"
+          response: |
+            {
+                "object": "organization.project.user.deleted",
+                "id": "user_abc",
+                "deleted": true
+            }
+  /organization/usage/audio_speeches:
+    get:
+      summary: Get audio speeches usage details for the organization.
+      operationId: usage-audio-speeches
+      tags:
+        - Usage
+      parameters:
+        - name: start_time
+          in: query
+          description: Start time (Unix seconds) of the query time range, inclusive.
+          required: true
+          schema:
+            type: integer
+        - name: end_time
+          in: query
+          description: End time (Unix seconds) of the query time range, exclusive.
+          required: false
+          schema:
+            type: integer
+        - name: bucket_width
+          in: query
+          description:
+            Width of each time bucket in response. Currently `1m`, `1h` and
+            `1d` are supported, default to `1d`.
+          required: false
+          schema:
+            type: string
+            enum:
+              - 1m
+              - 1h
+              - 1d
+            default: 1d
+        - name: project_ids
+          in: query
+          description: Return only usage for these projects.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+        - name: user_ids
+          in: query
+          description: Return only usage for these users.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+        - name: api_key_ids
+          in: query
+          description: Return only usage for these API keys.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+        - name: models
+          in: query
+          description: Return only usage for these models.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+        - name: group_by
+          in: query
+          description:
+            Group the usage data by the specified fields. Support fields
+            include `project_id`, `user_id`, `api_key_id`, `model` or any
+            combination of them.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+              enum:
+                - project_id
+                - user_id
+                - api_key_id
+                - model
+        - name: limit
+          in: query
+          description: |
+            Specifies the number of buckets to return.
+            - `bucket_width=1d`: default: 7, max: 31
+            - `bucket_width=1h`: default: 24, max: 168
+            - `bucket_width=1m`: default: 60, max: 1440
+          required: false
+          schema:
+            type: integer
+        - name: page
+          in: query
+          description:
+            A cursor for use in pagination. Corresponding to the `next_page`
+            field from the previous response.
+          schema:
+            type: string
+      responses:
+        "200":
+          description: Usage data retrieved successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/UsageResponse"
+      x-oaiMeta:
+        name: Audio speeches
+        group: usage-audio-speeches
+        returns: A list of paginated, time bucketed [Audio speeches
+          usage](/docs/api-reference/usage/audio_speeches_object) objects.
+        examples:
+          request:
+            curl: >
+              curl
+              "https://api.openai.com/v1/organization/usage/audio_speeches?start_time=1730419200&limit=1"
+              \
+
+              -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+
+              -H "Content-Type: application/json"
+          response: >
+            {
+                "object": "page",
+                "data": [
+                    {
+                        "object": "bucket",
+                        "start_time": 1730419200,
+                        "end_time": 1730505600,
+                        "results": [
+                            {
+                                "object": "organization.usage.audio_speeches.result",
+                                "characters": 45,
+                                "num_model_requests": 1,
+                                "project_id": null,
+                                "user_id": null,
+                                "api_key_id": null,
+                                "model": null
+                            }
+                        ]
+                    }
+                ],
+                "has_more": false,
+                "next_page": null
+            }
+  /organization/usage/audio_transcriptions:
+    get:
+      summary: Get audio transcriptions usage details for the organization.
+      operationId: usage-audio-transcriptions
+      tags:
+        - Usage
+      parameters:
+        - name: start_time
+          in: query
+          description: Start time (Unix seconds) of the query time range, inclusive.
+          required: true
+          schema:
+            type: integer
+        - name: end_time
+          in: query
+          description: End time (Unix seconds) of the query time range, exclusive.
+          required: false
+          schema:
+            type: integer
+        - name: bucket_width
+          in: query
+          description:
+            Width of each time bucket in response. Currently `1m`, `1h` and
+            `1d` are supported, default to `1d`.
+          required: false
+          schema:
+            type: string
+            enum:
+              - 1m
+              - 1h
+              - 1d
+            default: 1d
+        - name: project_ids
+          in: query
+          description: Return only usage for these projects.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+        - name: user_ids
+          in: query
+          description: Return only usage for these users.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+        - name: api_key_ids
+          in: query
+          description: Return only usage for these API keys.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+        - name: models
+          in: query
+          description: Return only usage for these models.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+        - name: group_by
+          in: query
+          description:
+            Group the usage data by the specified fields. Support fields
+            include `project_id`, `user_id`, `api_key_id`, `model` or any
+            combination of them.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+              enum:
+                - project_id
+                - user_id
+                - api_key_id
+                - model
+        - name: limit
+          in: query
+          description: |
+            Specifies the number of buckets to return.
+            - `bucket_width=1d`: default: 7, max: 31
+            - `bucket_width=1h`: default: 24, max: 168
+            - `bucket_width=1m`: default: 60, max: 1440
+          required: false
+          schema:
+            type: integer
+        - name: page
+          in: query
+          description:
+            A cursor for use in pagination. Corresponding to the `next_page`
+            field from the previous response.
+          schema:
+            type: string
+      responses:
+        "200":
+          description: Usage data retrieved successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/UsageResponse"
+      x-oaiMeta:
+        name: Audio transcriptions
+        group: usage-audio-transcriptions
+        returns: A list of paginated, time bucketed [Audio transcriptions
+          usage](/docs/api-reference/usage/audio_transcriptions_object) objects.
+        examples:
+          request:
+            curl: >
+              curl
+              "https://api.openai.com/v1/organization/usage/audio_transcriptions?start_time=1730419200&limit=1"
+              \
+
+              -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+
+              -H "Content-Type: application/json"
+          response: >
+            {
+                "object": "page",
+                "data": [
+                    {
+                        "object": "bucket",
+                        "start_time": 1730419200,
+                        "end_time": 1730505600,
+                        "results": [
+                            {
+                                "object": "organization.usage.audio_transcriptions.result",
+                                "seconds": 20,
+                                "num_model_requests": 1,
+                                "project_id": null,
+                                "user_id": null,
+                                "api_key_id": null,
+                                "model": null
+                            }
+                        ]
+                    }
+                ],
+                "has_more": false,
+                "next_page": null
+            }
+  /organization/usage/code_interpreter_sessions:
+    get:
+      summary: Get code interpreter sessions usage details for the organization.
+      operationId: usage-code-interpreter-sessions
+      tags:
+        - Usage
+      parameters:
+        - name: start_time
+          in: query
+          description: Start time (Unix seconds) of the query time range, inclusive.
+          required: true
+          schema:
+            type: integer
+        - name: end_time
+          in: query
+          description: End time (Unix seconds) of the query time range, exclusive.
+          required: false
+          schema:
+            type: integer
+        - name: bucket_width
+          in: query
+          description:
+            Width of each time bucket in response. Currently `1m`, `1h` and
+            `1d` are supported, default to `1d`.
+          required: false
+          schema:
+            type: string
+            enum:
+              - 1m
+              - 1h
+              - 1d
+            default: 1d
+        - name: project_ids
+          in: query
+          description: Return only usage for these projects.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+        - name: group_by
+          in: query
+          description:
+            Group the usage data by the specified fields. Support fields
+            include `project_id`.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+              enum:
+                - project_id
+        - name: limit
+          in: query
+          description: |
+            Specifies the number of buckets to return.
+            - `bucket_width=1d`: default: 7, max: 31
+            - `bucket_width=1h`: default: 24, max: 168
+            - `bucket_width=1m`: default: 60, max: 1440
+          required: false
+          schema:
+            type: integer
+        - name: page
+          in: query
+          description:
+            A cursor for use in pagination. Corresponding to the `next_page`
+            field from the previous response.
+          schema:
+            type: string
+      responses:
+        "200":
+          description: Usage data retrieved successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/UsageResponse"
+      x-oaiMeta:
+        name: Code interpreter sessions
+        group: usage-code-interpreter-sessions
+        returns: A list of paginated, time bucketed [Code interpreter sessions
+          usage](/docs/api-reference/usage/code_interpreter_sessions_object)
+          objects.
+        examples:
+          request:
+            curl: >
+              curl
+              "https://api.openai.com/v1/organization/usage/code_interpreter_sessions?start_time=1730419200&limit=1"
+              \
+
+              -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+
+              -H "Content-Type: application/json"
+          response: >
+            {
+                "object": "page",
+                "data": [
+                    {
+                        "object": "bucket",
+                        "start_time": 1730419200,
+                        "end_time": 1730505600,
+                        "results": [
+                            {
+                                "object": "organization.usage.code_interpreter_sessions.result",
+                                "num_sessions": 1,
+                                "project_id": null
+                            }
+                        ]
+                    }
+                ],
+                "has_more": false,
+                "next_page": null
+            }
+  /organization/usage/completions:
+    get:
+      summary: Get completions usage details for the organization.
+      operationId: usage-completions
+      tags:
+        - Usage
+      parameters:
+        - name: start_time
+          in: query
+          description: Start time (Unix seconds) of the query time range, inclusive.
+          required: true
+          schema:
+            type: integer
+        - name: end_time
+          in: query
+          description: End time (Unix seconds) of the query time range, exclusive.
+          required: false
+          schema:
+            type: integer
+        - name: bucket_width
+          in: query
+          description:
+            Width of each time bucket in response. Currently `1m`, `1h` and
+            `1d` are supported, default to `1d`.
+          required: false
+          schema:
+            type: string
+            enum:
+              - 1m
+              - 1h
+              - 1d
+            default: 1d
+        - name: project_ids
+          in: query
+          description: Return only usage for these projects.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+        - name: user_ids
+          in: query
+          description: Return only usage for these users.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+        - name: api_key_ids
+          in: query
+          description: Return only usage for these API keys.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+        - name: models
+          in: query
+          description: Return only usage for these models.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+        - name: batch
+          in: query
+          description: >
+            If `true`, return batch jobs only. If `false`, return non-batch jobs
+            only. By default, return both.
+          required: false
+          schema:
+            type: boolean
+        - name: group_by
+          in: query
+          description:
+            Group the usage data by the specified fields. Support fields
+            include `project_id`, `user_id`, `api_key_id`, `model`, `batch` or
+            any combination of them.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+              enum:
+                - project_id
+                - user_id
+                - api_key_id
+                - model
+                - batch
+        - name: limit
+          in: query
+          description: |
+            Specifies the number of buckets to return.
+            - `bucket_width=1d`: default: 7, max: 31
+            - `bucket_width=1h`: default: 24, max: 168
+            - `bucket_width=1m`: default: 60, max: 1440
+          required: false
+          schema:
+            type: integer
+        - name: page
+          in: query
+          description:
+            A cursor for use in pagination. Corresponding to the `next_page`
+            field from the previous response.
+          schema:
+            type: string
+      responses:
+        "200":
+          description: Usage data retrieved successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/UsageResponse"
+      x-oaiMeta:
+        name: Completions
+        group: usage-completions
+        returns: A list of paginated, time bucketed [Completions
+          usage](/docs/api-reference/usage/completions_object) objects.
+        examples:
+          request:
+            curl: >
+              curl
+              "https://api.openai.com/v1/organization/usage/completions?start_time=1730419200&limit=1"
+              \
+
+              -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+
+              -H "Content-Type: application/json"
+          response: >
+            {
+                "object": "page",
+                "data": [
+                    {
+                        "object": "bucket",
+                        "start_time": 1730419200,
+                        "end_time": 1730505600,
+                        "results": [
+                            {
+                                "object": "organization.usage.completions.result",
+                                "input_tokens": 1000,
+                                "output_tokens": 500,
+                                "input_cached_tokens": 800,
+                                "input_audio_tokens": 0,
+                                "output_audio_tokens": 0,
+                                "num_model_requests": 5,
+                                "project_id": null,
+                                "user_id": null,
+                                "api_key_id": null,
+                                "model": null,
+                                "batch": null
+                            }
+                        ]
+                    }
+                ],
+                "has_more": true,
+                "next_page": "page_AAAAAGdGxdEiJdKOAAAAAGcqsYA="
+            }
+  /organization/usage/embeddings:
+    get:
+      summary: Get embeddings usage details for the organization.
+      operationId: usage-embeddings
+      tags:
+        - Usage
+      parameters:
+        - name: start_time
+          in: query
+          description: Start time (Unix seconds) of the query time range, inclusive.
+          required: true
+          schema:
+            type: integer
+        - name: end_time
+          in: query
+          description: End time (Unix seconds) of the query time range, exclusive.
+          required: false
+          schema:
+            type: integer
+        - name: bucket_width
+          in: query
+          description:
+            Width of each time bucket in response. Currently `1m`, `1h` and
+            `1d` are supported, default to `1d`.
+          required: false
+          schema:
+            type: string
+            enum:
+              - 1m
+              - 1h
+              - 1d
+            default: 1d
+        - name: project_ids
+          in: query
+          description: Return only usage for these projects.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+        - name: user_ids
+          in: query
+          description: Return only usage for these users.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+        - name: api_key_ids
+          in: query
+          description: Return only usage for these API keys.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+        - name: models
+          in: query
+          description: Return only usage for these models.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+        - name: group_by
+          in: query
+          description:
+            Group the usage data by the specified fields. Support fields
+            include `project_id`, `user_id`, `api_key_id`, `model` or any
+            combination of them.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+              enum:
+                - project_id
+                - user_id
+                - api_key_id
+                - model
+        - name: limit
+          in: query
+          description: |
+            Specifies the number of buckets to return.
+            - `bucket_width=1d`: default: 7, max: 31
+            - `bucket_width=1h`: default: 24, max: 168
+            - `bucket_width=1m`: default: 60, max: 1440
+          required: false
+          schema:
+            type: integer
+        - name: page
+          in: query
+          description:
+            A cursor for use in pagination. Corresponding to the `next_page`
+            field from the previous response.
+          schema:
+            type: string
+      responses:
+        "200":
+          description: Usage data retrieved successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/UsageResponse"
+      x-oaiMeta:
+        name: Embeddings
+        group: usage-embeddings
+        returns: A list of paginated, time bucketed [Embeddings
+          usage](/docs/api-reference/usage/embeddings_object) objects.
+        examples:
+          request:
+            curl: >
+              curl
+              "https://api.openai.com/v1/organization/usage/embeddings?start_time=1730419200&limit=1"
+              \
+
+              -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+
+              -H "Content-Type: application/json"
+          response: >
+            {
+                "object": "page",
+                "data": [
+                    {
+                        "object": "bucket",
+                        "start_time": 1730419200,
+                        "end_time": 1730505600,
+                        "results": [
+                            {
+                                "object": "organization.usage.embeddings.result",
+                                "input_tokens": 16,
+                                "num_model_requests": 2,
+                                "project_id": null,
+                                "user_id": null,
+                                "api_key_id": null,
+                                "model": null
+                            }
+                        ]
+                    }
+                ],
+                "has_more": false,
+                "next_page": null
+            }
+  /organization/usage/images:
+    get:
+      summary: Get images usage details for the organization.
+      operationId: usage-images
+      tags:
+        - Usage
+      parameters:
+        - name: start_time
+          in: query
+          description: Start time (Unix seconds) of the query time range, inclusive.
+          required: true
+          schema:
+            type: integer
+        - name: end_time
+          in: query
+          description: End time (Unix seconds) of the query time range, exclusive.
+          required: false
+          schema:
+            type: integer
+        - name: bucket_width
+          in: query
+          description:
+            Width of each time bucket in response. Currently `1m`, `1h` and
+            `1d` are supported, default to `1d`.
+          required: false
+          schema:
+            type: string
+            enum:
+              - 1m
+              - 1h
+              - 1d
+            default: 1d
+        - name: sources
+          in: query
+          description: Return only usages for these sources. Possible values are
+            `image.generation`, `image.edit`, `image.variation` or any
+            combination of them.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+              enum:
+                - image.generation
+                - image.edit
+                - image.variation
+        - name: sizes
+          in: query
+          description:
+            Return only usages for these image sizes. Possible values are
+            `256x256`, `512x512`, `1024x1024`, `1792x1792`, `1024x1792` or any
+            combination of them.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+              enum:
+                - 256x256
+                - 512x512
+                - 1024x1024
+                - 1792x1792
+                - 1024x1792
+        - name: project_ids
+          in: query
+          description: Return only usage for these projects.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+        - name: user_ids
+          in: query
+          description: Return only usage for these users.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+        - name: api_key_ids
+          in: query
+          description: Return only usage for these API keys.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+        - name: models
+          in: query
+          description: Return only usage for these models.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+        - name: group_by
+          in: query
+          description:
+            Group the usage data by the specified fields. Support fields
+            include `project_id`, `user_id`, `api_key_id`, `model`, `size`,
+            `source` or any combination of them.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+              enum:
+                - project_id
+                - user_id
+                - api_key_id
+                - model
+                - size
+                - source
+        - name: limit
+          in: query
+          description: |
+            Specifies the number of buckets to return.
+            - `bucket_width=1d`: default: 7, max: 31
+            - `bucket_width=1h`: default: 24, max: 168
+            - `bucket_width=1m`: default: 60, max: 1440
+          required: false
+          schema:
+            type: integer
+        - name: page
+          in: query
+          description:
+            A cursor for use in pagination. Corresponding to the `next_page`
+            field from the previous response.
+          schema:
+            type: string
+      responses:
+        "200":
+          description: Usage data retrieved successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/UsageResponse"
+      x-oaiMeta:
+        name: Images
+        group: usage-images
+        returns: A list of paginated, time bucketed [Images
+          usage](/docs/api-reference/usage/images_object) objects.
+        examples:
+          request:
+            curl: >
+              curl
+              "https://api.openai.com/v1/organization/usage/images?start_time=1730419200&limit=1"
+              \
+
+              -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+
+              -H "Content-Type: application/json"
+          response: |
+            {
+                "object": "page",
+                "data": [
+                    {
+                        "object": "bucket",
+                        "start_time": 1730419200,
+                        "end_time": 1730505600,
+                        "results": [
+                            {
+                                "object": "organization.usage.images.result",
+                                "images": 2,
+                                "num_model_requests": 2,
+                                "size": null,
+                                "source": null,
+                                "project_id": null,
+                                "user_id": null,
+                                "api_key_id": null,
+                                "model": null
+                            }
+                        ]
+                    }
+                ],
+                "has_more": false,
+                "next_page": null
+            }
+  /organization/usage/moderations:
+    get:
+      summary: Get moderations usage details for the organization.
+      operationId: usage-moderations
+      tags:
+        - Usage
+      parameters:
+        - name: start_time
+          in: query
+          description: Start time (Unix seconds) of the query time range, inclusive.
+          required: true
+          schema:
+            type: integer
+        - name: end_time
+          in: query
+          description: End time (Unix seconds) of the query time range, exclusive.
+          required: false
+          schema:
+            type: integer
+        - name: bucket_width
+          in: query
+          description:
+            Width of each time bucket in response. Currently `1m`, `1h` and
+            `1d` are supported, default to `1d`.
+          required: false
+          schema:
+            type: string
+            enum:
+              - 1m
+              - 1h
+              - 1d
+            default: 1d
+        - name: project_ids
+          in: query
+          description: Return only usage for these projects.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+        - name: user_ids
+          in: query
+          description: Return only usage for these users.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+        - name: api_key_ids
+          in: query
+          description: Return only usage for these API keys.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+        - name: models
+          in: query
+          description: Return only usage for these models.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+        - name: group_by
+          in: query
+          description:
+            Group the usage data by the specified fields. Support fields
+            include `project_id`, `user_id`, `api_key_id`, `model` or any
+            combination of them.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+              enum:
+                - project_id
+                - user_id
+                - api_key_id
+                - model
+        - name: limit
+          in: query
+          description: |
+            Specifies the number of buckets to return.
+            - `bucket_width=1d`: default: 7, max: 31
+            - `bucket_width=1h`: default: 24, max: 168
+            - `bucket_width=1m`: default: 60, max: 1440
+          required: false
+          schema:
+            type: integer
+        - name: page
+          in: query
+          description:
+            A cursor for use in pagination. Corresponding to the `next_page`
+            field from the previous response.
+          schema:
+            type: string
+      responses:
+        "200":
+          description: Usage data retrieved successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/UsageResponse"
+      x-oaiMeta:
+        name: Moderations
+        group: usage-moderations
+        returns: A list of paginated, time bucketed [Moderations
+          usage](/docs/api-reference/usage/moderations_object) objects.
+        examples:
+          request:
+            curl: >
+              curl
+              "https://api.openai.com/v1/organization/usage/moderations?start_time=1730419200&limit=1"
+              \
+
+              -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+
+              -H "Content-Type: application/json"
+          response: >
+            {
+                "object": "page",
+                "data": [
+                    {
+                        "object": "bucket",
+                        "start_time": 1730419200,
+                        "end_time": 1730505600,
+                        "results": [
+                            {
+                                "object": "organization.usage.moderations.result",
+                                "input_tokens": 16,
+                                "num_model_requests": 2,
+                                "project_id": null,
+                                "user_id": null,
+                                "api_key_id": null,
+                                "model": null
+                            }
+                        ]
+                    }
+                ],
+                "has_more": false,
+                "next_page": null
+            }
+  /organization/usage/vector_stores:
+    get:
+      summary: Get vector stores usage details for the organization.
+      operationId: usage-vector-stores
+      tags:
+        - Usage
+      parameters:
+        - name: start_time
+          in: query
+          description: Start time (Unix seconds) of the query time range, inclusive.
+          required: true
+          schema:
+            type: integer
+        - name: end_time
+          in: query
+          description: End time (Unix seconds) of the query time range, exclusive.
+          required: false
+          schema:
+            type: integer
+        - name: bucket_width
+          in: query
+          description:
+            Width of each time bucket in response. Currently `1m`, `1h` and
+            `1d` are supported, default to `1d`.
+          required: false
+          schema:
+            type: string
+            enum:
+              - 1m
+              - 1h
+              - 1d
+            default: 1d
+        - name: project_ids
+          in: query
+          description: Return only usage for these projects.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+        - name: group_by
+          in: query
+          description:
+            Group the usage data by the specified fields. Support fields
+            include `project_id`.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+              enum:
+                - project_id
+        - name: limit
+          in: query
+          description: |
+            Specifies the number of buckets to return.
+            - `bucket_width=1d`: default: 7, max: 31
+            - `bucket_width=1h`: default: 24, max: 168
+            - `bucket_width=1m`: default: 60, max: 1440
+          required: false
+          schema:
+            type: integer
+        - name: page
+          in: query
+          description:
+            A cursor for use in pagination. Corresponding to the `next_page`
+            field from the previous response.
+          schema:
+            type: string
+      responses:
+        "200":
+          description: Usage data retrieved successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/UsageResponse"
+      x-oaiMeta:
+        name: Vector stores
+        group: usage-vector-stores
+        returns: A list of paginated, time bucketed [Vector stores
+          usage](/docs/api-reference/usage/vector_stores_object) objects.
+        examples:
+          request:
+            curl: >
+              curl
+              "https://api.openai.com/v1/organization/usage/vector_stores?start_time=1730419200&limit=1"
+              \
+
+              -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+
+              -H "Content-Type: application/json"
+          response: >
+            {
+                "object": "page",
+                "data": [
+                    {
+                        "object": "bucket",
+                        "start_time": 1730419200,
+                        "end_time": 1730505600,
+                        "results": [
+                            {
+                                "object": "organization.usage.vector_stores.result",
+                                "usage_bytes": 1024,
+                                "project_id": null
+                            }
+                        ]
+                    }
+                ],
+                "has_more": false,
+                "next_page": null
+            }
+  /organization/users:
+    get:
+      summary: Lists all of the users in the organization.
+      operationId: list-users
+      tags:
+        - Users
+      parameters:
+        - name: limit
+          in: query
+          description: >
+            A limit on the number of objects to be returned. Limit can range
+            between 1 and 100, and the default is 20.
+          required: false
+          schema:
+            type: integer
+            default: 20
+        - name: after
+          in: query
+          description: >
+            A cursor for use in pagination. `after` is an object ID that defines
+            your place in the list. For instance, if you make a list request and
+            receive 100 objects, ending with obj_foo, your subsequent call can
+            include after=obj_foo in order to fetch the next page of the list.
+          required: false
+          schema:
+            type: string
+        - name: emails
+          in: query
+          description: Filter by the email address of users.
+          required: false
+          schema:
+            type: array
+            items:
+              type: string
+      responses:
+        "200":
+          description: Users listed successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/UserListResponse"
+      x-oaiMeta:
+        name: List users
+        group: administration
+        returns: A list of [User](/docs/api-reference/users/object) objects.
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/organization/users?after=user_abc&limit=20
+              \
+                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+                -H "Content-Type: application/json"
+          response: |
+            {
+                "object": "list",
+                "data": [
+                    {
+                        "object": "organization.user",
+                        "id": "user_abc",
+                        "name": "First Last",
+                        "email": "user@example.com",
+                        "role": "owner",
+                        "added_at": 1711471533
+                    }
+                ],
+                "first_id": "user-abc",
+                "last_id": "user-xyz",
+                "has_more": false
+            }
+  /organization/users/{user_id}:
+    get:
+      summary: Retrieves a user by their identifier.
+      operationId: retrieve-user
+      tags:
+        - Users
+      parameters:
+        - name: user_id
+          in: path
+          description: The ID of the user.
+          required: true
+          schema:
+            type: string
+      responses:
+        "200":
+          description: User retrieved successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/User"
+      x-oaiMeta:
+        name: Retrieve user
+        group: administration
+        returns:
+          The [User](/docs/api-reference/users/object) object matching the
+          specified ID.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/organization/users/user_abc \
+                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+                -H "Content-Type: application/json"
+          response: |
+            {
+                "object": "organization.user",
+                "id": "user_abc",
+                "name": "First Last",
+                "email": "user@example.com",
+                "role": "owner",
+                "added_at": 1711471533
+            }
+    post:
+      summary: Modifies a user's role in the organization.
+      operationId: modify-user
+      tags:
+        - Users
+      parameters:
+        - name: user_id
+          in: path
+          description: The ID of the user.
+          required: true
+          schema:
+            type: string
+      requestBody:
+        description: The new user role to modify. This must be one of `owner` or `member`.
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/UserRoleUpdateRequest"
+      responses:
+        "200":
+          description: User role updated successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/User"
+      x-oaiMeta:
+        name: Modify user
+        group: administration
+        returns: The updated [User](/docs/api-reference/users/object) object.
+        examples:
+          request:
+            curl: >
+              curl -X POST https://api.openai.com/v1/organization/users/user_abc
+              \
+                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+                -H "Content-Type: application/json" \
+                -d '{
+                    "role": "owner"
+                }'
+          response: |
+            {
+                "object": "organization.user",
+                "id": "user_abc",
+                "name": "First Last",
+                "email": "user@example.com",
+                "role": "owner",
+                "added_at": 1711471533
+            }
+    delete:
+      summary: Deletes a user from the organization.
+      operationId: delete-user
+      tags:
+        - Users
+      parameters:
+        - name: user_id
+          in: path
+          description: The ID of the user.
+          required: true
+          schema:
+            type: string
+      responses:
+        "200":
+          description: User deleted successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/UserDeleteResponse"
+      x-oaiMeta:
+        name: Delete user
+        group: administration
+        returns: Confirmation of the deleted user
+        examples:
+          request:
+            curl: >
+              curl -X DELETE
+              https://api.openai.com/v1/organization/users/user_abc \
+                -H "Authorization: Bearer $OPENAI_ADMIN_KEY" \
+                -H "Content-Type: application/json"
+          response: |
+            {
+                "object": "organization.user.deleted",
+                "id": "user_abc",
+                "deleted": true
+            }
+  /realtime/sessions:
+    post:
+      summary: >
+        Create an ephemeral API token for use in client-side applications with
+        the
+
+        Realtime API. Can be configured with the same session parameters as the
+
+        `session.update` client event.
+
+
+        It responds with a session object, plus a `client_secret` key which
+        contains
+
+        a usable ephemeral API token that can be used to authenticate browser
+        clients
+
+        for the Realtime API.
+      operationId: create-realtime-session
+      tags:
+        - Realtime
+      requestBody:
+        description: Create an ephemeral API key with the given session configuration.
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/RealtimeSessionCreateRequest"
+      responses:
+        "200":
+          description: Session created successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/RealtimeSessionCreateResponse"
+      x-oaiMeta:
+        name: Create session
+        group: realtime
+        returns: The created Realtime session object, plus an ephemeral key
+        examples:
+          request:
+            curl: |
+              curl -X POST https://api.openai.com/v1/realtime/sessions \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -d '{
+                  "model": "gpt-4o-realtime-preview",
+                  "modalities": ["audio", "text"],
+                  "instructions": "You are a friendly assistant."
+                }'
+          response: |
+            {
+              "id": "sess_001",
+              "object": "realtime.session",
+              "model": "gpt-4o-realtime-preview",
+              "modalities": ["audio", "text"],
+              "instructions": "You are a friendly assistant.",
+              "voice": "alloy",
+              "input_audio_format": "pcm16",
+              "output_audio_format": "pcm16",
+              "input_audio_transcription": {
+                  "model": "whisper-1"
+              },
+              "turn_detection": null,
+              "tools": [],
+              "tool_choice": "none",
+              "temperature": 0.7,
+              "max_response_output_tokens": 200,
+              "client_secret": {
+                "value": "ek_abc123", 
+                "expires_at": 1234567890
+              }
+            }
+  /realtime/transcription_sessions:
+    post:
+      summary: >
+        Create an ephemeral API token for use in client-side applications with
+        the
+
+        Realtime API specifically for realtime transcriptions. 
+
+        Can be configured with the same session parameters as the
+        `transcription_session.update` client event.
+
+
+        It responds with a session object, plus a `client_secret` key which
+        contains
+
+        a usable ephemeral API token that can be used to authenticate browser
+        clients
+
+        for the Realtime API.
+      operationId: create-realtime-transcription-session
+      tags:
+        - Realtime
+      requestBody:
+        description: Create an ephemeral API key with the given session configuration.
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/RealtimeTranscriptionSessionCreateRequest"
+      responses:
+        "200":
+          description: Session created successfully.
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/RealtimeTranscriptionSessionCreateResponse"
+      x-oaiMeta:
+        name: Create transcription session
+        group: realtime
+        returns: The created [Realtime transcription session
+          object](/docs/api-reference/realtime-sessions/transcription_session_object),
+          plus an ephemeral key
+        examples:
+          request:
+            curl: >
+              curl -X POST
+              https://api.openai.com/v1/realtime/transcription_sessions \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -d '{}'
+          response: |
+            {
+              "id": "sess_BBwZc7cFV3XizEyKGDCGL",
+              "object": "realtime.transcription_session",
+              "modalities": ["audio", "text"],
+              "turn_detection": {
+                "type": "server_vad",
+                "threshold": 0.5,
+                "prefix_padding_ms": 300,
+                "silence_duration_ms": 200
+              },
+              "input_audio_format": "pcm16",
+              "input_audio_transcription": {
+                "model": "gpt-4o-transcribe",
+                "language": null,
+                "prompt": ""
+              },
+              "client_secret": null
+            }
+  /responses:
+    post:
+      operationId: createResponse
+      tags:
+        - Responses
+      summary: >
+        Creates a model response. Provide [text](/docs/guides/text) or
+
+        [image](/docs/guides/images) inputs to generate
+        [text](/docs/guides/text)
+
+        or [JSON](/docs/guides/structured-outputs) outputs. Have the model call
+
+        your own [custom code](/docs/guides/function-calling) or use built-in
+
+        [tools](/docs/guides/tools) like [web
+        search](/docs/guides/tools-web-search)
+
+        or [file search](/docs/guides/tools-file-search) to use your own data
+
+        as input for the model's response.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/CreateResponse"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/Response"
+            text/event-stream:
+              schema:
+                $ref: "#/components/schemas/ResponseStreamEvent"
+      x-oaiMeta:
+        name: Create a model response
+        group: responses
+        returns: |
+          Returns a [Response](/docs/api-reference/responses/object) object.
+        path: create
+        examples:
+          - title: Text input
+            request:
+              curl: >
+                curl https://api.openai.com/v1/responses \
+                  -H "Content-Type: application/json" \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -d '{
+                    "model": "gpt-4o",
+                    "input": "Tell me a three sentence bedtime story about a unicorn."
+                  }'
+              javascript: >
+                import OpenAI from "openai";
+
+
+                const openai = new OpenAI();
+
+
+                const response = await openai.responses.create({
+                    model: "gpt-4o",
+                    input: "Tell me a three sentence bedtime story about a unicorn."
+                });
+
+
+                console.log(response);
+              python: >
+                from openai import OpenAI
+
+
+                client = OpenAI()
+
+
+                response = client.responses.create(
+                  model="gpt-4o",
+                  input="Tell me a three sentence bedtime story about a unicorn."
+                )
+
+
+                print(response)
+            response: >
+              {
+                "id": "resp_67ccd2bed1ec8190b14f964abc0542670bb6a6b452d3795b",
+                "object": "response",
+                "created_at": 1741476542,
+                "status": "completed",
+                "error": null,
+                "incomplete_details": null,
+                "instructions": null,
+                "max_output_tokens": null,
+                "model": "gpt-4o-2024-08-06",
+                "output": [
+                  {
+                    "type": "message",
+                    "id": "msg_67ccd2bf17f0819081ff3bb2cf6508e60bb6a6b452d3795b",
+                    "status": "completed",
+                    "role": "assistant",
+                    "content": [
+                      {
+                        "type": "output_text",
+                        "text": "In a peaceful grove beneath a silver moon, a unicorn named Lumina discovered a hidden pool that reflected the stars. As she dipped her horn into the water, the pool began to shimmer, revealing a pathway to a magical realm of endless night skies. Filled with wonder, Lumina whispered a wish for all who dream to find their own hidden magic, and as she glanced back, her hoofprints sparkled like stardust.",
+                        "annotations": []
+                      }
+                    ]
+                  }
+                ],
+                "parallel_tool_calls": true,
+                "previous_response_id": null,
+                "reasoning": {
+                  "effort": null,
+                  "generate_summary": null
+                },
+                "store": true,
+                "temperature": 1.0,
+                "text": {
+                  "format": {
+                    "type": "text"
+                  }
+                },
+                "tool_choice": "auto",
+                "tools": [],
+                "top_p": 1.0,
+                "truncation": "disabled",
+                "usage": {
+                  "input_tokens": 36,
+                  "input_tokens_details": {
+                    "cached_tokens": 0
+                  },
+                  "output_tokens": 87,
+                  "output_tokens_details": {
+                    "reasoning_tokens": 0
+                  },
+                  "total_tokens": 123
+                },
+                "user": null,
+                "metadata": {}
+              }
+          - title: Image input
+            request:
+              curl: >
+                curl https://api.openai.com/v1/responses \
+                  -H "Content-Type: application/json" \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -d '{
+                    "model": "gpt-4o",
+                    "input": [
+                      {
+                        "role": "user",
+                        "content": [
+                          {"type": "input_text", "text": "what is in this image?"},
+                          {
+                            "type": "input_image",
+                            "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
+                          }
+                        ]
+                      }
+                    ]
+                  }'
+              javascript: >
+                import OpenAI from "openai";
+
+
+                const openai = new OpenAI();
+
+
+                const response = await openai.responses.create({
+                    model: "gpt-4o",
+                    input: [
+                        {
+                            role: "user",
+                            content: [
+                                { type: "input_text", text: "what is in this image?" },
+                                {
+                                    type: "input_image",
+                                    image_url:
+                                        "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg",
+                                },
+                            ],
+                        },
+                    ],
+                });
+
+
+                console.log(response);
+              python: >
+                from openai import OpenAI
+
+
+                client = OpenAI()
+
+
+                response = client.responses.create(
+                    model="gpt-4o",
+                    input=[
+                        {
+                            "role": "user",
+                            "content": [
+                                { "type": "input_text", "text": "what is in this image?" },
+                                {
+                                    "type": "input_image",
+                                    "image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
+                                }
+                            ]
+                        }
+                    ]
+                )
+
+
+                print(response)
+            response: >
+              {
+                "id": "resp_67ccd3a9da748190baa7f1570fe91ac604becb25c45c1d41",
+                "object": "response",
+                "created_at": 1741476777,
+                "status": "completed",
+                "error": null,
+                "incomplete_details": null,
+                "instructions": null,
+                "max_output_tokens": null,
+                "model": "gpt-4o-2024-08-06",
+                "output": [
+                  {
+                    "type": "message",
+                    "id": "msg_67ccd3acc8d48190a77525dc6de64b4104becb25c45c1d41",
+                    "status": "completed",
+                    "role": "assistant",
+                    "content": [
+                      {
+                        "type": "output_text",
+                        "text": "The image depicts a scenic landscape with a wooden boardwalk or pathway leading through lush, green grass under a blue sky with some clouds. The setting suggests a peaceful natural area, possibly a park or nature reserve. There are trees and shrubs in the background.",
+                        "annotations": []
+                      }
+                    ]
+                  }
+                ],
+                "parallel_tool_calls": true,
+                "previous_response_id": null,
+                "reasoning": {
+                  "effort": null,
+                  "generate_summary": null
+                },
+                "store": true,
+                "temperature": 1.0,
+                "text": {
+                  "format": {
+                    "type": "text"
+                  }
+                },
+                "tool_choice": "auto",
+                "tools": [],
+                "top_p": 1.0,
+                "truncation": "disabled",
+                "usage": {
+                  "input_tokens": 328,
+                  "input_tokens_details": {
+                    "cached_tokens": 0
+                  },
+                  "output_tokens": 52,
+                  "output_tokens_details": {
+                    "reasoning_tokens": 0
+                  },
+                  "total_tokens": 380
+                },
+                "user": null,
+                "metadata": {}
+              }
+          - title: Web search
+            request:
+              curl: |
+                curl https://api.openai.com/v1/responses \
+                  -H "Content-Type: application/json" \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -d '{
+                    "model": "gpt-4o",
+                    "tools": [{ "type": "web_search_preview" }],
+                    "input": "What was a positive news story from today?"
+                  }'
+              javascript: |
+                import OpenAI from "openai";
+
+                const openai = new OpenAI();
+
+                const response = await openai.responses.create({
+                    model: "gpt-4o",
+                    tools: [{ type: "web_search_preview" }],
+                    input: "What was a positive news story from today?",
+                });
+
+                console.log(response);
+              python: |
+                from openai import OpenAI
+
+                client = OpenAI()
+
+                response = client.responses.create(
+                    model="gpt-4o",
+                    tools=[{ "type": "web_search_preview" }],
+                    input="What was a positive news story from today?",
+                )
+
+                print(response)
+            response: >
+              {
+                "id": "resp_67ccf18ef5fc8190b16dbee19bc54e5f087bb177ab789d5c",
+                "object": "response",
+                "created_at": 1741484430,
+                "status": "completed",
+                "error": null,
+                "incomplete_details": null,
+                "instructions": null,
+                "max_output_tokens": null,
+                "model": "gpt-4o-2024-08-06",
+                "output": [
+                  {
+                    "type": "web_search_call",
+                    "id": "ws_67ccf18f64008190a39b619f4c8455ef087bb177ab789d5c",
+                    "status": "completed"
+                  },
+                  {
+                    "type": "message",
+                    "id": "msg_67ccf190ca3881909d433c50b1f6357e087bb177ab789d5c",
+                    "status": "completed",
+                    "role": "assistant",
+                    "content": [
+                      {
+                        "type": "output_text",
+                        "text": "As of today, March 9, 2025, one notable positive news story...",
+                        "annotations": [
+                          {
+                            "type": "url_citation",
+                            "start_index": 442,
+                            "end_index": 557,
+                            "url": "https://.../?utm_source=chatgpt.com",
+                            "title": "..."
+                          },
+                          {
+                            "type": "url_citation",
+                            "start_index": 962,
+                            "end_index": 1077,
+                            "url": "https://.../?utm_source=chatgpt.com",
+                            "title": "..."
+                          },
+                          {
+                            "type": "url_citation",
+                            "start_index": 1336,
+                            "end_index": 1451,
+                            "url": "https://.../?utm_source=chatgpt.com",
+                            "title": "..."
+                          }
+                        ]
+                      }
+                    ]
+                  }
+                ],
+                "parallel_tool_calls": true,
+                "previous_response_id": null,
+                "reasoning": {
+                  "effort": null,
+                  "generate_summary": null
+                },
+                "store": true,
+                "temperature": 1.0,
+                "text": {
+                  "format": {
+                    "type": "text"
+                  }
+                },
+                "tool_choice": "auto",
+                "tools": [
+                  {
+                    "type": "web_search_preview",
+                    "domains": [],
+                    "search_context_size": "medium",
+                    "user_location": {
+                      "type": "approximate",
+                      "city": null,
+                      "country": "US",
+                      "region": null,
+                      "timezone": null
+                    }
+                  }
+                ],
+                "top_p": 1.0,
+                "truncation": "disabled",
+                "usage": {
+                  "input_tokens": 328,
+                  "input_tokens_details": {
+                    "cached_tokens": 0
+                  },
+                  "output_tokens": 356,
+                  "output_tokens_details": {
+                    "reasoning_tokens": 0
+                  },
+                  "total_tokens": 684
+                },
+                "user": null,
+                "metadata": {}
+              }
+          - title: File search
+            request:
+              curl: >
+                curl https://api.openai.com/v1/responses \
+                  -H "Content-Type: application/json" \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -d '{
+                    "model": "gpt-4o",
+                    "tools": [{
+                      "type": "file_search",
+                      "vector_store_ids": ["vs_1234567890"],
+                      "max_num_results": 20
+                    }],
+                    "input": "What are the attributes of an ancient brown dragon?"
+                  }'
+              javascript: >
+                import OpenAI from "openai";
+
+
+                const openai = new OpenAI();
+
+
+                const response = await openai.responses.create({
+                    model: "gpt-4o",
+                    tools: [{
+                      type: "file_search",
+                      vector_store_ids: ["vs_1234567890"],
+                      max_num_results: 20
+                    }],
+                    input: "What are the attributes of an ancient brown dragon?",
+                });
+
+
+                console.log(response);
+              python: |
+                from openai import OpenAI
+
+                client = OpenAI()
+
+                response = client.responses.create(
+                    model="gpt-4o",
+                    tools=[{
+                      "type": "file_search",
+                      "vector_store_ids": ["vs_1234567890"],
+                      "max_num_results": 20
+                    }],
+                    input="What are the attributes of an ancient brown dragon?",
+                )
+
+                print(response)
+            response: >
+              {
+                "id": "resp_67ccf4c55fc48190b71bd0463ad3306d09504fb6872380d7",
+                "object": "response",
+                "created_at": 1741485253,
+                "status": "completed",
+                "error": null,
+                "incomplete_details": null,
+                "instructions": null,
+                "max_output_tokens": null,
+                "model": "gpt-4o-2024-08-06",
+                "output": [
+                  {
+                    "type": "file_search_call",
+                    "id": "fs_67ccf4c63cd08190887ef6464ba5681609504fb6872380d7",
+                    "status": "completed",
+                    "queries": [
+                      "attributes of an ancient brown dragon"
+                    ],
+                    "results": null
+                  },
+                  {
+                    "type": "message",
+                    "id": "msg_67ccf4c93e5c81909d595b369351a9d309504fb6872380d7",
+                    "status": "completed",
+                    "role": "assistant",
+                    "content": [
+                      {
+                        "type": "output_text",
+                        "text": "The attributes of an ancient brown dragon include...",
+                        "annotations": [
+                          {
+                            "type": "file_citation",
+                            "index": 320,
+                            "file_id": "file-4wDz5b167pAf72nx1h9eiN",
+                            "filename": "dragons.pdf"
+                          },
+                          {
+                            "type": "file_citation",
+                            "index": 576,
+                            "file_id": "file-4wDz5b167pAf72nx1h9eiN",
+                            "filename": "dragons.pdf"
+                          },
+                          {
+                            "type": "file_citation",
+                            "index": 815,
+                            "file_id": "file-4wDz5b167pAf72nx1h9eiN",
+                            "filename": "dragons.pdf"
+                          },
+                          {
+                            "type": "file_citation",
+                            "index": 815,
+                            "file_id": "file-4wDz5b167pAf72nx1h9eiN",
+                            "filename": "dragons.pdf"
+                          },
+                          {
+                            "type": "file_citation",
+                            "index": 1030,
+                            "file_id": "file-4wDz5b167pAf72nx1h9eiN",
+                            "filename": "dragons.pdf"
+                          },
+                          {
+                            "type": "file_citation",
+                            "index": 1030,
+                            "file_id": "file-4wDz5b167pAf72nx1h9eiN",
+                            "filename": "dragons.pdf"
+                          },
+                          {
+                            "type": "file_citation",
+                            "index": 1156,
+                            "file_id": "file-4wDz5b167pAf72nx1h9eiN",
+                            "filename": "dragons.pdf"
+                          },
+                          {
+                            "type": "file_citation",
+                            "index": 1225,
+                            "file_id": "file-4wDz5b167pAf72nx1h9eiN",
+                            "filename": "dragons.pdf"
+                          }
+                        ]
+                      }
+                    ]
+                  }
+                ],
+                "parallel_tool_calls": true,
+                "previous_response_id": null,
+                "reasoning": {
+                  "effort": null,
+                  "generate_summary": null
+                },
+                "store": true,
+                "temperature": 1.0,
+                "text": {
+                  "format": {
+                    "type": "text"
+                  }
+                },
+                "tool_choice": "auto",
+                "tools": [
+                  {
+                    "type": "file_search",
+                    "filters": null,
+                    "max_num_results": 20,
+                    "ranking_options": {
+                      "ranker": "auto",
+                      "score_threshold": 0.0
+                    },
+                    "vector_store_ids": [
+                      "vs_1234567890"
+                    ]
+                  }
+                ],
+                "top_p": 1.0,
+                "truncation": "disabled",
+                "usage": {
+                  "input_tokens": 18307,
+                  "input_tokens_details": {
+                    "cached_tokens": 0
+                  },
+                  "output_tokens": 348,
+                  "output_tokens_details": {
+                    "reasoning_tokens": 0
+                  },
+                  "total_tokens": 18655
+                },
+                "user": null,
+                "metadata": {}
+              }
+          - title: Streaming
+            request:
+              curl: |
+                curl https://api.openai.com/v1/responses \
+                  -H "Content-Type: application/json" \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -d '{
+                    "model": "gpt-4o",
+                    "instructions": "You are a helpful assistant.",
+                    "input": "Hello!",
+                    "stream": true
+                  }'
+              python: |
+                from openai import OpenAI
+
+                client = OpenAI()
+
+                response = client.responses.create(
+                  model="gpt-4o",
+                  instructions="You are a helpful assistant.",
+                  input="Hello!",
+                  stream=True
+                )
+
+                for event in response:
+                  print(event)
+              javascript: |
+                import OpenAI from "openai";
+
+                const openai = new OpenAI();
+
+                const response = await openai.responses.create({
+                    model: "gpt-4o",
+                    instructions: "You are a helpful assistant.",
+                    input: "Hello!",
+                    stream: true,
+                });
+
+                for await (const event of response) {
+                    console.log(event);
+                }
+            response: >
+              event: response.created
+
+              data:
+              {"type":"response.created","response":{"id":"resp_67c9fdcecf488190bdd9a0409de3a1ec07b8b0ad4e5eb654","object":"response","created_at":1741290958,"status":"in_progress","error":null,"incomplete_details":null,"instructions":"You
+              are a helpful
+              assistant.","max_output_tokens":null,"model":"gpt-4o-2024-08-06","output":[],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"generate_summary":null},"store":true,"temperature":1.0,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":1.0,"truncation":"disabled","usage":null,"user":null,"metadata":{}}}
+
+
+              event: response.in_progress
+
+              data:
+              {"type":"response.in_progress","response":{"id":"resp_67c9fdcecf488190bdd9a0409de3a1ec07b8b0ad4e5eb654","object":"response","created_at":1741290958,"status":"in_progress","error":null,"incomplete_details":null,"instructions":"You
+              are a helpful
+              assistant.","max_output_tokens":null,"model":"gpt-4o-2024-08-06","output":[],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"generate_summary":null},"store":true,"temperature":1.0,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":1.0,"truncation":"disabled","usage":null,"user":null,"metadata":{}}}
+
+
+              event: response.output_item.added
+
+              data:
+              {"type":"response.output_item.added","output_index":0,"item":{"id":"msg_67c9fdcf37fc8190ba82116e33fb28c507b8b0ad4e5eb654","type":"message","status":"in_progress","role":"assistant","content":[]}}
+
+
+              event: response.content_part.added
+
+              data:
+              {"type":"response.content_part.added","item_id":"msg_67c9fdcf37fc8190ba82116e33fb28c507b8b0ad4e5eb654","output_index":0,"content_index":0,"part":{"type":"output_text","text":"","annotations":[]}}
+
+
+              event: response.output_text.delta
+
+              data:
+              {"type":"response.output_text.delta","item_id":"msg_67c9fdcf37fc8190ba82116e33fb28c507b8b0ad4e5eb654","output_index":0,"content_index":0,"delta":"Hi"}
+
+
+              ...
+
+
+              event: response.output_text.done
+
+              data:
+              {"type":"response.output_text.done","item_id":"msg_67c9fdcf37fc8190ba82116e33fb28c507b8b0ad4e5eb654","output_index":0,"content_index":0,"text":"Hi
+              there! How can I assist you today?"}
+
+
+              event: response.content_part.done
+
+              data:
+              {"type":"response.content_part.done","item_id":"msg_67c9fdcf37fc8190ba82116e33fb28c507b8b0ad4e5eb654","output_index":0,"content_index":0,"part":{"type":"output_text","text":"Hi
+              there! How can I assist you today?","annotations":[]}}
+
+
+              event: response.output_item.done
+
+              data:
+              {"type":"response.output_item.done","output_index":0,"item":{"id":"msg_67c9fdcf37fc8190ba82116e33fb28c507b8b0ad4e5eb654","type":"message","status":"completed","role":"assistant","content":[{"type":"output_text","text":"Hi
+              there! How can I assist you today?","annotations":[]}]}}
+
+
+              event: response.completed
+
+              data:
+              {"type":"response.completed","response":{"id":"resp_67c9fdcecf488190bdd9a0409de3a1ec07b8b0ad4e5eb654","object":"response","created_at":1741290958,"status":"completed","error":null,"incomplete_details":null,"instructions":"You
+              are a helpful
+              assistant.","max_output_tokens":null,"model":"gpt-4o-2024-08-06","output":[{"id":"msg_67c9fdcf37fc8190ba82116e33fb28c507b8b0ad4e5eb654","type":"message","status":"completed","role":"assistant","content":[{"type":"output_text","text":"Hi
+              there! How can I assist you
+              today?","annotations":[]}]}],"parallel_tool_calls":true,"previous_response_id":null,"reasoning":{"effort":null,"generate_summary":null},"store":true,"temperature":1.0,"text":{"format":{"type":"text"}},"tool_choice":"auto","tools":[],"top_p":1.0,"truncation":"disabled","usage":{"input_tokens":37,"output_tokens":11,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":48},"user":null,"metadata":{}}}
+          - title: Functions
+            request:
+              curl: >
+                curl https://api.openai.com/v1/responses \
+                  -H "Content-Type: application/json" \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -d '{
+                    "model": "gpt-4o",
+                    "input": "What is the weather like in Boston today?",
+                    "tools": [
+                      {
+                        "type": "function",
+                        "name": "get_current_weather",
+                        "description": "Get the current weather in a given location",
+                        "parameters": {
+                          "type": "object",
+                          "properties": {
+                            "location": {
+                              "type": "string",
+                              "description": "The city and state, e.g. San Francisco, CA"
+                            },
+                            "unit": {
+                              "type": "string",
+                              "enum": ["celsius", "fahrenheit"]
+                            }
+                          },
+                          "required": ["location", "unit"]
+                        }
+                      }
+                    ],
+                    "tool_choice": "auto"
+                  }'
+              python: >
+                from openai import OpenAI
+
+
+                client = OpenAI()
+
+
+                tools = [
+                    {
+                        "type": "function",
+                        "name": "get_current_weather",
+                        "description": "Get the current weather in a given location",
+                        "parameters": {
+                          "type": "object",
+                          "properties": {
+                              "location": {
+                                  "type": "string",
+                                  "description": "The city and state, e.g. San Francisco, CA",
+                              },
+                              "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
+                          },
+                          "required": ["location", "unit"],
+                        }
+                    }
+                ]
+
+
+                response = client.responses.create(
+                  model="gpt-4o",
+                  tools=tools,
+                  input="What is the weather like in Boston today?",
+                  tool_choice="auto"
+                )
+
+
+                print(response)
+              javascript: >
+                import OpenAI from "openai";
+
+
+                const openai = new OpenAI();
+
+
+                const tools = [
+                    {
+                        type: "function",
+                        name: "get_current_weather",
+                        description: "Get the current weather in a given location",
+                        parameters: {
+                            type: "object",
+                            properties: {
+                                location: {
+                                    type: "string",
+                                    description: "The city and state, e.g. San Francisco, CA",
+                                },
+                                unit: { type: "string", enum: ["celsius", "fahrenheit"] },
+                            },
+                            required: ["location", "unit"],
+                        },
+                    },
+                ];
+
+
+                const response = await openai.responses.create({
+                    model: "gpt-4o",
+                    tools: tools,
+                    input: "What is the weather like in Boston today?",
+                    tool_choice: "auto",
+                });
+
+
+                console.log(response);
+            response: >
+              {
+                "id": "resp_67ca09c5efe0819096d0511c92b8c890096610f474011cc0",
+                "object": "response",
+                "created_at": 1741294021,
+                "status": "completed",
+                "error": null,
+                "incomplete_details": null,
+                "instructions": null,
+                "max_output_tokens": null,
+                "model": "gpt-4o-2024-08-06",
+                "output": [
+                  {
+                    "type": "function_call",
+                    "id": "fc_67ca09c6bedc8190a7abfec07b1a1332096610f474011cc0",
+                    "call_id": "call_unLAR8MvFNptuiZK6K6HCy5k",
+                    "name": "get_current_weather",
+                    "arguments": "{\"location\":\"Boston, MA\",\"unit\":\"celsius\"}",
+                    "status": "completed"
+                  }
+                ],
+                "parallel_tool_calls": true,
+                "previous_response_id": null,
+                "reasoning": {
+                  "effort": null,
+                  "generate_summary": null
+                },
+                "store": true,
+                "temperature": 1.0,
+                "text": {
+                  "format": {
+                    "type": "text"
+                  }
+                },
+                "tool_choice": "auto",
+                "tools": [
+                  {
+                    "type": "function",
+                    "description": "Get the current weather in a given location",
+                    "name": "get_current_weather",
+                    "parameters": {
+                      "type": "object",
+                      "properties": {
+                        "location": {
+                          "type": "string",
+                          "description": "The city and state, e.g. San Francisco, CA"
+                        },
+                        "unit": {
+                          "type": "string",
+                          "enum": [
+                            "celsius",
+                            "fahrenheit"
+                          ]
+                        }
+                      },
+                      "required": [
+                        "location",
+                        "unit"
+                      ]
+                    },
+                    "strict": true
+                  }
+                ],
+                "top_p": 1.0,
+                "truncation": "disabled",
+                "usage": {
+                  "input_tokens": 291,
+                  "output_tokens": 23,
+                  "output_tokens_details": {
+                    "reasoning_tokens": 0
+                  },
+                  "total_tokens": 314
+                },
+                "user": null,
+                "metadata": {}
+              }
+          - title: Reasoning
+            request:
+              curl: |
+                curl https://api.openai.com/v1/responses \
+                  -H "Content-Type: application/json" \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -d '{
+                    "model": "o3-mini",
+                    "input": "How much wood would a woodchuck chuck?",
+                    "reasoning": {
+                      "effort": "high"
+                    }
+                  }'
+              javascript: |
+                import OpenAI from "openai";
+                const openai = new OpenAI();
+
+                const response = await openai.responses.create({
+                    model: "o3-mini",
+                    input: "How much wood would a woodchuck chuck?",
+                    reasoning: {
+                      effort: "high"
+                    }
+                });
+
+                console.log(response);
+              python: |
+                from openai import OpenAI
+                client = OpenAI()
+
+                response = client.responses.create(
+                    model="o3-mini",
+                    input="How much wood would a woodchuck chuck?",
+                    reasoning={
+                        "effort": "high"
+                    }
+                )
+
+                print(response)
+            response: >
+              {
+                "id": "resp_67ccd7eca01881908ff0b5146584e408072912b2993db808",
+                "object": "response",
+                "created_at": 1741477868,
+                "status": "completed",
+                "error": null,
+                "incomplete_details": null,
+                "instructions": null,
+                "max_output_tokens": null,
+                "model": "o1-2024-12-17",
+                "output": [
+                  {
+                    "type": "message",
+                    "id": "msg_67ccd7f7b5848190a6f3e95d809f6b44072912b2993db808",
+                    "status": "completed",
+                    "role": "assistant",
+                    "content": [
+                      {
+                        "type": "output_text",
+                        "text": "The classic tongue twister...",
+                        "annotations": []
+                      }
+                    ]
+                  }
+                ],
+                "parallel_tool_calls": true,
+                "previous_response_id": null,
+                "reasoning": {
+                  "effort": "high",
+                  "generate_summary": null
+                },
+                "store": true,
+                "temperature": 1.0,
+                "text": {
+                  "format": {
+                    "type": "text"
+                  }
+                },
+                "tool_choice": "auto",
+                "tools": [],
+                "top_p": 1.0,
+                "truncation": "disabled",
+                "usage": {
+                  "input_tokens": 81,
+                  "input_tokens_details": {
+                    "cached_tokens": 0
+                  },
+                  "output_tokens": 1035,
+                  "output_tokens_details": {
+                    "reasoning_tokens": 832
+                  },
+                  "total_tokens": 1116
+                },
+                "user": null,
+                "metadata": {}
+              }
+  /responses/{response_id}:
+    get:
+      operationId: getResponse
+      tags:
+        - Responses
+      summary: |
+        Retrieves a model response with the given ID.
+      parameters:
+        - in: path
+          name: response_id
+          required: true
+          schema:
+            type: string
+            example: resp_677efb5139a88190b512bc3fef8e535d
+          description: The ID of the response to retrieve.
+        - in: query
+          name: include
+          schema:
+            type: array
+            items:
+              $ref: "#/components/schemas/Includable"
+          description: >
+            Specify additional output data to include in the response. Currently
+
+            supported values are:
+
+            - `file_search_call.results`: Include the search results of
+              the file search tool call.
+            - `message.input_image.image_url`: Include image urls from the input
+            message.
+
+            - `computer_call_output.output.image_url`: Include image urls from
+            the computer call output.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/Response"
+      x-oaiMeta:
+        name: Get a model response
+        group: responses
+        returns: >
+          The [Response](/docs/api-reference/responses/object) object matching
+          the
+
+          specified ID.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/responses/resp_123 \
+                  -H "Content-Type: application/json" \
+                  -H "Authorization: Bearer $OPENAI_API_KEY"
+            javascript: |
+              import OpenAI from "openai";
+              const client = new OpenAI();
+
+              const response = await client.responses.retrieve("resp_123");
+              console.log(response);
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              response = client.responses.retrieve("resp_123")
+              print(response)
+          response: >
+            {
+              "id": "resp_67cb71b351908190a308f3859487620d06981a8637e6bc44",
+              "object": "response",
+              "created_at": 1741386163,
+              "status": "completed",
+              "error": null,
+              "incomplete_details": null,
+              "instructions": null,
+              "max_output_tokens": null,
+              "model": "gpt-4o-2024-08-06",
+              "output": [
+                {
+                  "type": "message",
+                  "id": "msg_67cb71b3c2b0819084d481baaaf148f206981a8637e6bc44",
+                  "status": "completed",
+                  "role": "assistant",
+                  "content": [
+                    {
+                      "type": "output_text",
+                      "text": "Silent circuits hum,  \nThoughts emerge in data streams—  \nDigital dawn breaks.",
+                      "annotations": []
+                    }
+                  ]
+                }
+              ],
+              "parallel_tool_calls": true,
+              "previous_response_id": null,
+              "reasoning": {
+                "effort": null,
+                "generate_summary": null
+              },
+              "store": true,
+              "temperature": 1.0,
+              "text": {
+                "format": {
+                  "type": "text"
+                }
+              },
+              "tool_choice": "auto",
+              "tools": [],
+              "top_p": 1.0,
+              "truncation": "disabled",
+              "usage": {
+                "input_tokens": 32,
+                "input_tokens_details": {
+                  "cached_tokens": 0
+                },
+                "output_tokens": 18,
+                "output_tokens_details": {
+                  "reasoning_tokens": 0
+                },
+                "total_tokens": 50
+              },
+              "user": null,
+              "metadata": {}
+            }
+    delete:
+      operationId: deleteResponse
+      tags:
+        - Responses
+      summary: |
+        Deletes a model response with the given ID.
+      parameters:
+        - in: path
+          name: response_id
+          required: true
+          schema:
+            type: string
+            example: resp_677efb5139a88190b512bc3fef8e535d
+          description: The ID of the response to delete.
+      responses:
+        "200":
+          description: OK
+        "404":
+          description: Not Found
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/Error"
+      x-oaiMeta:
+        name: Delete a model response
+        group: responses
+        returns: |
+          A success message.
+        examples:
+          request:
+            curl: |
+              curl -X DELETE https://api.openai.com/v1/responses/resp_123 \
+                  -H "Content-Type: application/json" \
+                  -H "Authorization: Bearer $OPENAI_API_KEY"
+            javascript: |
+              import OpenAI from "openai";
+              const client = new OpenAI();
+
+              const response = await client.responses.del("resp_123");
+              console.log(response);
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              response = client.responses.del("resp_123")
+              print(response)
+          response: |
+            {
+              "id": "resp_6786a1bec27481909a17d673315b29f6",
+              "object": "response",
+              "deleted": true
+            }
+  /responses/{response_id}/input_items:
+    get:
+      operationId: listInputItems
+      tags:
+        - Responses
+      summary: Returns a list of input items for a given response.
+      parameters:
+        - in: path
+          name: response_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the response to retrieve input items for.
+        - name: limit
+          in: query
+          description: >
+            A limit on the number of objects to be returned. Limit can range
+            between
+
+            1 and 100, and the default is 20.
+          required: false
+          schema:
+            type: integer
+            default: 20
+        - in: query
+          name: order
+          schema:
+            type: string
+            enum:
+              - asc
+              - desc
+          description: |
+            The order to return the input items in. Default is `asc`.
+            - `asc`: Return the input items in ascending order.
+            - `desc`: Return the input items in descending order.
+        - in: query
+          name: after
+          schema:
+            type: string
+          description: |
+            An item ID to list items after, used in pagination.
+        - in: query
+          name: before
+          schema:
+            type: string
+          description: |
+            An item ID to list items before, used in pagination.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ResponseItemList"
+      x-oaiMeta:
+        name: List input items
+        group: responses
+        returns: A list of input item objects.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/responses/resp_abc123/input_items \
+                -H "Content-Type: application/json" \
+                -H "Authorization: Bearer $OPENAI_API_KEY"
+            javascript: >
+              import OpenAI from "openai";
+
+              const client = new OpenAI();
+
+
+              const response = await
+              client.responses.inputItems.list("resp_123");
+
+              console.log(response.data);
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              response = client.responses.input_items.list("resp_123")
+              print(response.data)
+          response: >
+            {
+              "object": "list",
+              "data": [
+                {
+                  "id": "msg_abc123",
+                  "type": "message",
+                  "role": "user",
+                  "content": [
+                    {
+                      "type": "input_text",
+                      "text": "Tell me a three sentence bedtime story about a unicorn."
+                    }
+                  ]
+                }
+              ],
+              "first_id": "msg_abc123",
+              "last_id": "msg_abc123",
+              "has_more": false
+            }
+  /threads:
+    post:
+      operationId: createThread
+      tags:
+        - Assistants
+      summary: Create a thread.
+      requestBody:
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/CreateThreadRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ThreadObject"
+      x-oaiMeta:
+        name: Create thread
+        group: threads
+        beta: true
+        returns: A [thread](/docs/api-reference/threads) object.
+        examples:
+          - title: Empty
+            request:
+              curl: |
+                curl https://api.openai.com/v1/threads \
+                  -H "Content-Type: application/json" \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -H "OpenAI-Beta: assistants=v2" \
+                  -d ''
+              python: |
+                from openai import OpenAI
+                client = OpenAI()
+
+                empty_thread = client.beta.threads.create()
+                print(empty_thread)
+              node.js: |-
+                import OpenAI from "openai";
+
+                const openai = new OpenAI();
+
+                async function main() {
+                  const emptyThread = await openai.beta.threads.create();
+
+                  console.log(emptyThread);
+                }
+
+                main();
+            response: |
+              {
+                "id": "thread_abc123",
+                "object": "thread",
+                "created_at": 1699012949,
+                "metadata": {},
+                "tool_resources": {}
+              }
+          - title: Messages
+            request:
+              curl: |
+                curl https://api.openai.com/v1/threads \
+                -H "Content-Type: application/json" \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "OpenAI-Beta: assistants=v2" \
+                -d '{
+                    "messages": [{
+                      "role": "user",
+                      "content": "Hello, what is AI?"
+                    }, {
+                      "role": "user",
+                      "content": "How does AI work? Explain it in simple terms."
+                    }]
+                  }'
+              python: |
+                from openai import OpenAI
+                client = OpenAI()
+
+                message_thread = client.beta.threads.create(
+                  messages=[
+                    {
+                      "role": "user",
+                      "content": "Hello, what is AI?"
+                    },
+                    {
+                      "role": "user",
+                      "content": "How does AI work? Explain it in simple terms."
+                    },
+                  ]
+                )
+
+                print(message_thread)
+              node.js: >-
+                import OpenAI from "openai";
+
+
+                const openai = new OpenAI();
+
+
+                async function main() {
+                  const messageThread = await openai.beta.threads.create({
+                    messages: [
+                      {
+                        role: "user",
+                        content: "Hello, what is AI?"
+                      },
+                      {
+                        role: "user",
+                        content: "How does AI work? Explain it in simple terms.",
+                      },
+                    ],
+                  });
+
+                  console.log(messageThread);
+                }
+
+
+                main();
+            response: |
+              {
+                "id": "thread_abc123",
+                "object": "thread",
+                "created_at": 1699014083,
+                "metadata": {},
+                "tool_resources": {}
+              }
+  /threads/runs:
+    post:
+      operationId: createThreadAndRun
+      tags:
+        - Assistants
+      summary: Create a thread and run it in one request.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/CreateThreadAndRunRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/RunObject"
+      x-oaiMeta:
+        name: Create thread and run
+        group: threads
+        beta: true
+        returns: A [run](/docs/api-reference/runs/object) object.
+        examples:
+          - title: Default
+            request:
+              curl: >
+                curl https://api.openai.com/v1/threads/runs \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -H "Content-Type: application/json" \
+                  -H "OpenAI-Beta: assistants=v2" \
+                  -d '{
+                      "assistant_id": "asst_abc123",
+                      "thread": {
+                        "messages": [
+                          {"role": "user", "content": "Explain deep learning to a 5 year old."}
+                        ]
+                      }
+                    }'
+              python: >
+                from openai import OpenAI
+
+                client = OpenAI()
+
+
+                run = client.beta.threads.create_and_run(
+                  assistant_id="asst_abc123",
+                  thread={
+                    "messages": [
+                      {"role": "user", "content": "Explain deep learning to a 5 year old."}
+                    ]
+                  }
+                )
+
+
+                print(run)
+              node.js: >
+                import OpenAI from "openai";
+
+
+                const openai = new OpenAI();
+
+
+                async function main() {
+                  const run = await openai.beta.threads.createAndRun({
+                    assistant_id: "asst_abc123",
+                    thread: {
+                      messages: [
+                        { role: "user", content: "Explain deep learning to a 5 year old." },
+                      ],
+                    },
+                  });
+
+                  console.log(run);
+                }
+
+
+                main();
+            response: |
+              {
+                "id": "run_abc123",
+                "object": "thread.run",
+                "created_at": 1699076792,
+                "assistant_id": "asst_abc123",
+                "thread_id": "thread_abc123",
+                "status": "queued",
+                "started_at": null,
+                "expires_at": 1699077392,
+                "cancelled_at": null,
+                "failed_at": null,
+                "completed_at": null,
+                "required_action": null,
+                "last_error": null,
+                "model": "gpt-4o",
+                "instructions": "You are a helpful assistant.",
+                "tools": [],
+                "tool_resources": {},
+                "metadata": {},
+                "temperature": 1.0,
+                "top_p": 1.0,
+                "max_completion_tokens": null,
+                "max_prompt_tokens": null,
+                "truncation_strategy": {
+                  "type": "auto",
+                  "last_messages": null
+                },
+                "incomplete_details": null,
+                "usage": null,
+                "response_format": "auto",
+                "tool_choice": "auto",
+                "parallel_tool_calls": true
+              }
+          - title: Streaming
+            request:
+              curl: |
+                curl https://api.openai.com/v1/threads/runs \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -H "Content-Type: application/json" \
+                  -H "OpenAI-Beta: assistants=v2" \
+                  -d '{
+                    "assistant_id": "asst_123",
+                    "thread": {
+                      "messages": [
+                        {"role": "user", "content": "Hello"}
+                      ]
+                    },
+                    "stream": true
+                  }'
+              python: |
+                from openai import OpenAI
+                client = OpenAI()
+
+                stream = client.beta.threads.create_and_run(
+                  assistant_id="asst_123",
+                  thread={
+                    "messages": [
+                      {"role": "user", "content": "Hello"}
+                    ]
+                  },
+                  stream=True
+                )
+
+                for event in stream:
+                  print(event)
+              node.js: |
+                import OpenAI from "openai";
+
+                const openai = new OpenAI();
+
+                async function main() {
+                  const stream = await openai.beta.threads.createAndRun({
+                      assistant_id: "asst_123",
+                      thread: {
+                        messages: [
+                          { role: "user", content: "Hello" },
+                        ],
+                      },
+                      stream: true
+                  });
+
+                  for await (const event of stream) {
+                    console.log(event);
+                  }
+                }
+
+                main();
+            response: >
+              event: thread.created
+
+              data:
+              {"id":"thread_123","object":"thread","created_at":1710348075,"metadata":{}}
+
+
+              event: thread.run.created
+
+              data:
+              {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710348675,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"tool_resources":{},"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}
+
+
+              event: thread.run.queued
+
+              data:
+              {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710348675,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"tool_resources":{},"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}
+
+
+              event: thread.run.in_progress
+
+              data:
+              {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"in_progress","started_at":null,"expires_at":1710348675,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"tool_resources":{},"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}
+
+
+              event: thread.run.step.created
+
+              data:
+              {"id":"step_001","object":"thread.run.step","created_at":1710348076,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710348675,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":null}
+
+
+              event: thread.run.step.in_progress
+
+              data:
+              {"id":"step_001","object":"thread.run.step","created_at":1710348076,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710348675,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":null}
+
+
+              event: thread.message.created
+
+              data:
+              {"id":"msg_001","object":"thread.message","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[],
+              "metadata":{}}
+
+
+              event: thread.message.in_progress
+
+              data:
+              {"id":"msg_001","object":"thread.message","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[],
+              "metadata":{}}
+
+
+              event: thread.message.delta
+
+              data:
+              {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"Hello","annotations":[]}}]}}
+
+
+              ...
+
+
+              event: thread.message.delta
+
+              data:
+              {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"
+              today"}}]}}
+
+
+              event: thread.message.delta
+
+              data:
+              {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"?"}}]}}
+
+
+              event: thread.message.completed
+
+              data:
+              {"id":"msg_001","object":"thread.message","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"completed","incomplete_details":null,"incomplete_at":null,"completed_at":1710348077,"role":"assistant","content":[{"type":"text","text":{"value":"Hello!
+              How can I assist you today?","annotations":[]}}], "metadata":{}}
+
+
+              event: thread.run.step.completed
+
+              data:
+              {"id":"step_001","object":"thread.run.step","created_at":1710348076,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"completed","cancelled_at":null,"completed_at":1710348077,"expires_at":1710348675,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":{"prompt_tokens":20,"completion_tokens":11,"total_tokens":31}}
+
+
+              event: thread.run.completed
+
+              {"id":"run_123","object":"thread.run","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","status":"completed","started_at":1713226836,"expires_at":null,"cancelled_at":null,"failed_at":null,"completed_at":1713226837,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":{"prompt_tokens":345,"completion_tokens":11,"total_tokens":356},"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}
+
+
+              event: done
+
+              data: [DONE]
+          - title: Streaming with Functions
+            request:
+              curl: >
+                curl https://api.openai.com/v1/threads/runs \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -H "Content-Type: application/json" \
+                  -H "OpenAI-Beta: assistants=v2" \
+                  -d '{
+                    "assistant_id": "asst_abc123",
+                    "thread": {
+                      "messages": [
+                        {"role": "user", "content": "What is the weather like in San Francisco?"}
+                      ]
+                    },
+                    "tools": [
+                      {
+                        "type": "function",
+                        "function": {
+                          "name": "get_current_weather",
+                          "description": "Get the current weather in a given location",
+                          "parameters": {
+                            "type": "object",
+                            "properties": {
+                              "location": {
+                                "type": "string",
+                                "description": "The city and state, e.g. San Francisco, CA"
+                              },
+                              "unit": {
+                                "type": "string",
+                                "enum": ["celsius", "fahrenheit"]
+                              }
+                            },
+                            "required": ["location"]
+                          }
+                        }
+                      }
+                    ],
+                    "stream": true
+                  }'
+              python: >
+                from openai import OpenAI
+
+                client = OpenAI()
+
+
+                tools = [
+                  {
+                    "type": "function",
+                    "function": {
+                      "name": "get_current_weather",
+                      "description": "Get the current weather in a given location",
+                      "parameters": {
+                        "type": "object",
+                        "properties": {
+                          "location": {
+                            "type": "string",
+                            "description": "The city and state, e.g. San Francisco, CA",
+                          },
+                          "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
+                        },
+                        "required": ["location"],
+                      },
+                    }
+                  }
+                ]
+
+
+                stream = client.beta.threads.create_and_run(
+                  thread={
+                      "messages": [
+                        {"role": "user", "content": "What is the weather like in San Francisco?"}
+                      ]
+                  },
+                  assistant_id="asst_abc123",
+                  tools=tools,
+                  stream=True
+                )
+
+
+                for event in stream:
+                  print(event)
+              node.js: >
+                import OpenAI from "openai";
+
+
+                const openai = new OpenAI();
+
+
+                const tools = [
+                    {
+                      "type": "function",
+                      "function": {
+                        "name": "get_current_weather",
+                        "description": "Get the current weather in a given location",
+                        "parameters": {
+                          "type": "object",
+                          "properties": {
+                            "location": {
+                              "type": "string",
+                              "description": "The city and state, e.g. San Francisco, CA",
+                            },
+                            "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
+                          },
+                          "required": ["location"],
+                        },
+                      }
+                    }
+                ];
+
+
+                async function main() {
+                  const stream = await openai.beta.threads.createAndRun({
+                    assistant_id: "asst_123",
+                    thread: {
+                      messages: [
+                        { role: "user", content: "What is the weather like in San Francisco?" },
+                      ],
+                    },
+                    tools: tools,
+                    stream: true
+                  });
+
+                  for await (const event of stream) {
+                    console.log(event);
+                  }
+                }
+
+
+                main();
+            response: >
+              event: thread.created
+
+              data:
+              {"id":"thread_123","object":"thread","created_at":1710351818,"metadata":{}}
+
+
+              event: thread.run.created
+
+              data:
+              {"id":"run_123","object":"thread.run","created_at":1710351818,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710352418,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[{"type":"function","function":{"name":"get_current_weather","description":"Get
+              the current weather in a given
+              location","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The
+              city and state, e.g. San Francisco,
+              CA"},"unit":{"type":"string","enum":["celsius","fahrenheit"]}},"required":["location"]}}}],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}
+
+
+              event: thread.run.queued
+
+              data:
+              {"id":"run_123","object":"thread.run","created_at":1710351818,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710352418,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[{"type":"function","function":{"name":"get_current_weather","description":"Get
+              the current weather in a given
+              location","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The
+              city and state, e.g. San Francisco,
+              CA"},"unit":{"type":"string","enum":["celsius","fahrenheit"]}},"required":["location"]}}}],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}
+
+
+              event: thread.run.in_progress
+
+              data:
+              {"id":"run_123","object":"thread.run","created_at":1710351818,"assistant_id":"asst_123","thread_id":"thread_123","status":"in_progress","started_at":1710351818,"expires_at":1710352418,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[{"type":"function","function":{"name":"get_current_weather","description":"Get
+              the current weather in a given
+              location","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The
+              city and state, e.g. San Francisco,
+              CA"},"unit":{"type":"string","enum":["celsius","fahrenheit"]}},"required":["location"]}}}],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}
+
+
+              event: thread.run.step.created
+
+              data:
+              {"id":"step_001","object":"thread.run.step","created_at":1710351819,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"tool_calls","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710352418,"failed_at":null,"last_error":null,"step_details":{"type":"tool_calls","tool_calls":[]},"usage":null}
+
+
+              event: thread.run.step.in_progress
+
+              data:
+              {"id":"step_001","object":"thread.run.step","created_at":1710351819,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"tool_calls","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710352418,"failed_at":null,"last_error":null,"step_details":{"type":"tool_calls","tool_calls":[]},"usage":null}
+
+
+              event: thread.run.step.delta
+
+              data:
+              {"id":"step_001","object":"thread.run.step.delta","delta":{"step_details":{"type":"tool_calls","tool_calls":[{"index":0,"id":"call_XXNp8YGaFrjrSjgqxtC8JJ1B","type":"function","function":{"name":"get_current_weather","arguments":"","output":null}}]}}}
+
+
+              event: thread.run.step.delta
+
+              data:
+              {"id":"step_001","object":"thread.run.step.delta","delta":{"step_details":{"type":"tool_calls","tool_calls":[{"index":0,"type":"function","function":{"arguments":"{\""}}]}}}
+
+
+              event: thread.run.step.delta
+
+              data:
+              {"id":"step_001","object":"thread.run.step.delta","delta":{"step_details":{"type":"tool_calls","tool_calls":[{"index":0,"type":"function","function":{"arguments":"location"}}]}}}
+
+
+              ...
+
+
+              event: thread.run.step.delta
+
+              data:
+              {"id":"step_001","object":"thread.run.step.delta","delta":{"step_details":{"type":"tool_calls","tool_calls":[{"index":0,"type":"function","function":{"arguments":"ahrenheit"}}]}}}
+
+
+              event: thread.run.step.delta
+
+              data:
+              {"id":"step_001","object":"thread.run.step.delta","delta":{"step_details":{"type":"tool_calls","tool_calls":[{"index":0,"type":"function","function":{"arguments":"\"}"}}]}}}
+
+
+              event: thread.run.requires_action
+
+              data:
+              {"id":"run_123","object":"thread.run","created_at":1710351818,"assistant_id":"asst_123","thread_id":"thread_123","status":"requires_action","started_at":1710351818,"expires_at":1710352418,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":{"type":"submit_tool_outputs","submit_tool_outputs":{"tool_calls":[{"id":"call_XXNp8YGaFrjrSjgqxtC8JJ1B","type":"function","function":{"name":"get_current_weather","arguments":"{\"location\":\"San
+              Francisco,
+              CA\",\"unit\":\"fahrenheit\"}"}}]}},"last_error":null,"model":"gpt-4o","instructions":null,"tools":[{"type":"function","function":{"name":"get_current_weather","description":"Get
+              the current weather in a given
+              location","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The
+              city and state, e.g. San Francisco,
+              CA"},"unit":{"type":"string","enum":["celsius","fahrenheit"]}},"required":["location"]}}}],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":{"prompt_tokens":345,"completion_tokens":11,"total_tokens":356},"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}
+
+
+              event: done
+
+              data: [DONE]
+  /threads/{thread_id}:
+    get:
+      operationId: getThread
+      tags:
+        - Assistants
+      summary: Retrieves a thread.
+      parameters:
+        - in: path
+          name: thread_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the thread to retrieve.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ThreadObject"
+      x-oaiMeta:
+        name: Retrieve thread
+        group: threads
+        beta: true
+        returns:
+          The [thread](/docs/api-reference/threads/object) object matching the
+          specified ID.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/threads/thread_abc123 \
+                -H "Content-Type: application/json" \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "OpenAI-Beta: assistants=v2"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              my_thread = client.beta.threads.retrieve("thread_abc123")
+              print(my_thread)
+            node.js: |-
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const myThread = await openai.beta.threads.retrieve(
+                  "thread_abc123"
+                );
+
+                console.log(myThread);
+              }
+
+              main();
+          response: |
+            {
+              "id": "thread_abc123",
+              "object": "thread",
+              "created_at": 1699014083,
+              "metadata": {},
+              "tool_resources": {
+                "code_interpreter": {
+                  "file_ids": []
+                }
+              }
+            }
+    post:
+      operationId: modifyThread
+      tags:
+        - Assistants
+      summary: Modifies a thread.
+      parameters:
+        - in: path
+          name: thread_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the thread to modify. Only the `metadata` can be modified.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/ModifyThreadRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ThreadObject"
+      x-oaiMeta:
+        name: Modify thread
+        group: threads
+        beta: true
+        returns:
+          The modified [thread](/docs/api-reference/threads/object) object
+          matching the specified ID.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/threads/thread_abc123 \
+                -H "Content-Type: application/json" \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "OpenAI-Beta: assistants=v2" \
+                -d '{
+                    "metadata": {
+                      "modified": "true",
+                      "user": "abc123"
+                    }
+                  }'
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              my_updated_thread = client.beta.threads.update(
+                "thread_abc123",
+                metadata={
+                  "modified": "true",
+                  "user": "abc123"
+                }
+              )
+              print(my_updated_thread)
+            node.js: |-
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const updatedThread = await openai.beta.threads.update(
+                  "thread_abc123",
+                  {
+                    metadata: { modified: "true", user: "abc123" },
+                  }
+                );
+
+                console.log(updatedThread);
+              }
+
+              main();
+          response: |
+            {
+              "id": "thread_abc123",
+              "object": "thread",
+              "created_at": 1699014083,
+              "metadata": {
+                "modified": "true",
+                "user": "abc123"
+              },
+              "tool_resources": {}
+            }
+    delete:
+      operationId: deleteThread
+      tags:
+        - Assistants
+      summary: Delete a thread.
+      parameters:
+        - in: path
+          name: thread_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the thread to delete.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/DeleteThreadResponse"
+      x-oaiMeta:
+        name: Delete thread
+        group: threads
+        beta: true
+        returns: Deletion status
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/threads/thread_abc123 \
+                -H "Content-Type: application/json" \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "OpenAI-Beta: assistants=v2" \
+                -X DELETE
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              response = client.beta.threads.delete("thread_abc123")
+              print(response)
+            node.js: |-
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const response = await openai.beta.threads.del("thread_abc123");
+
+                console.log(response);
+              }
+              main();
+          response: |
+            {
+              "id": "thread_abc123",
+              "object": "thread.deleted",
+              "deleted": true
+            }
+  /threads/{thread_id}/messages:
+    get:
+      operationId: listMessages
+      tags:
+        - Assistants
+      summary: Returns a list of messages for a given thread.
+      parameters:
+        - in: path
+          name: thread_id
+          required: true
+          schema:
+            type: string
+          description:
+            The ID of the [thread](/docs/api-reference/threads) the messages
+            belong to.
+        - name: limit
+          in: query
+          description: >
+            A limit on the number of objects to be returned. Limit can range
+            between 1 and 100, and the default is 20.
+          required: false
+          schema:
+            type: integer
+            default: 20
+        - name: order
+          in: query
+          description: >
+            Sort order by the `created_at` timestamp of the objects. `asc` for
+            ascending order and `desc` for descending order.
+          schema:
+            type: string
+            default: desc
+            enum:
+              - asc
+              - desc
+        - name: after
+          in: query
+          description: >
+            A cursor for use in pagination. `after` is an object ID that defines
+            your place in the list. For instance, if you make a list request and
+            receive 100 objects, ending with obj_foo, your subsequent call can
+            include after=obj_foo in order to fetch the next page of the list.
+          schema:
+            type: string
+        - name: before
+          in: query
+          description: >
+            A cursor for use in pagination. `before` is an object ID that
+            defines your place in the list. For instance, if you make a list
+            request and receive 100 objects, starting with obj_foo, your
+            subsequent call can include before=obj_foo in order to fetch the
+            previous page of the list.
+          schema:
+            type: string
+        - name: run_id
+          in: query
+          description: |
+            Filter messages by the run ID that generated them.
+          schema:
+            type: string
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ListMessagesResponse"
+      x-oaiMeta:
+        name: List messages
+        group: threads
+        beta: true
+        returns: A list of [message](/docs/api-reference/messages) objects.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/threads/thread_abc123/messages \
+                -H "Content-Type: application/json" \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "OpenAI-Beta: assistants=v2"
+            python: >
+              from openai import OpenAI
+
+              client = OpenAI()
+
+
+              thread_messages =
+              client.beta.threads.messages.list("thread_abc123")
+
+              print(thread_messages.data)
+            node.js: |-
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const threadMessages = await openai.beta.threads.messages.list(
+                  "thread_abc123"
+                );
+
+                console.log(threadMessages.data);
+              }
+
+              main();
+          response: >
+            {
+              "object": "list",
+              "data": [
+                {
+                  "id": "msg_abc123",
+                  "object": "thread.message",
+                  "created_at": 1699016383,
+                  "assistant_id": null,
+                  "thread_id": "thread_abc123",
+                  "run_id": null,
+                  "role": "user",
+                  "content": [
+                    {
+                      "type": "text",
+                      "text": {
+                        "value": "How does AI work? Explain it in simple terms.",
+                        "annotations": []
+                      }
+                    }
+                  ],
+                  "attachments": [],
+                  "metadata": {}
+                },
+                {
+                  "id": "msg_abc456",
+                  "object": "thread.message",
+                  "created_at": 1699016383,
+                  "assistant_id": null,
+                  "thread_id": "thread_abc123",
+                  "run_id": null,
+                  "role": "user",
+                  "content": [
+                    {
+                      "type": "text",
+                      "text": {
+                        "value": "Hello, what is AI?",
+                        "annotations": []
+                      }
+                    }
+                  ],
+                  "attachments": [],
+                  "metadata": {}
+                }
+              ],
+              "first_id": "msg_abc123",
+              "last_id": "msg_abc456",
+              "has_more": false
+            }
+    post:
+      operationId: createMessage
+      tags:
+        - Assistants
+      summary: Create a message.
+      parameters:
+        - in: path
+          name: thread_id
+          required: true
+          schema:
+            type: string
+          description:
+            The ID of the [thread](/docs/api-reference/threads) to create a
+            message for.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/CreateMessageRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/MessageObject"
+      x-oaiMeta:
+        name: Create message
+        group: threads
+        beta: true
+        returns: A [message](/docs/api-reference/messages/object) object.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/threads/thread_abc123/messages \
+                -H "Content-Type: application/json" \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "OpenAI-Beta: assistants=v2" \
+                -d '{
+                    "role": "user",
+                    "content": "How does AI work? Explain it in simple terms."
+                  }'
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              thread_message = client.beta.threads.messages.create(
+                "thread_abc123",
+                role="user",
+                content="How does AI work? Explain it in simple terms.",
+              )
+              print(thread_message)
+            node.js: >-
+              import OpenAI from "openai";
+
+
+              const openai = new OpenAI();
+
+
+              async function main() {
+                const threadMessages = await openai.beta.threads.messages.create(
+                  "thread_abc123",
+                  { role: "user", content: "How does AI work? Explain it in simple terms." }
+                );
+
+                console.log(threadMessages);
+              }
+
+
+              main();
+          response: |
+            {
+              "id": "msg_abc123",
+              "object": "thread.message",
+              "created_at": 1713226573,
+              "assistant_id": null,
+              "thread_id": "thread_abc123",
+              "run_id": null,
+              "role": "user",
+              "content": [
+                {
+                  "type": "text",
+                  "text": {
+                    "value": "How does AI work? Explain it in simple terms.",
+                    "annotations": []
+                  }
+                }
+              ],
+              "attachments": [],
+              "metadata": {}
+            }
+  /threads/{thread_id}/messages/{message_id}:
+    get:
+      operationId: getMessage
+      tags:
+        - Assistants
+      summary: Retrieve a message.
+      parameters:
+        - in: path
+          name: thread_id
+          required: true
+          schema:
+            type: string
+          description:
+            The ID of the [thread](/docs/api-reference/threads) to which this
+            message belongs.
+        - in: path
+          name: message_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the message to retrieve.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/MessageObject"
+      x-oaiMeta:
+        name: Retrieve message
+        group: threads
+        beta: true
+        returns:
+          The [message](/docs/api-reference/messages/object) object matching the
+          specified ID.
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/threads/thread_abc123/messages/msg_abc123
+              \
+                -H "Content-Type: application/json" \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "OpenAI-Beta: assistants=v2"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              message = client.beta.threads.messages.retrieve(
+                message_id="msg_abc123",
+                thread_id="thread_abc123",
+              )
+              print(message)
+            node.js: |-
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const message = await openai.beta.threads.messages.retrieve(
+                  "thread_abc123",
+                  "msg_abc123"
+                );
+
+                console.log(message);
+              }
+
+              main();
+          response: |
+            {
+              "id": "msg_abc123",
+              "object": "thread.message",
+              "created_at": 1699017614,
+              "assistant_id": null,
+              "thread_id": "thread_abc123",
+              "run_id": null,
+              "role": "user",
+              "content": [
+                {
+                  "type": "text",
+                  "text": {
+                    "value": "How does AI work? Explain it in simple terms.",
+                    "annotations": []
+                  }
+                }
+              ],
+              "attachments": [],
+              "metadata": {}
+            }
+    post:
+      operationId: modifyMessage
+      tags:
+        - Assistants
+      summary: Modifies a message.
+      parameters:
+        - in: path
+          name: thread_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the thread to which this message belongs.
+        - in: path
+          name: message_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the message to modify.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/ModifyMessageRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/MessageObject"
+      x-oaiMeta:
+        name: Modify message
+        group: threads
+        beta: true
+        returns: The modified [message](/docs/api-reference/messages/object) object.
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/threads/thread_abc123/messages/msg_abc123
+              \
+                -H "Content-Type: application/json" \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "OpenAI-Beta: assistants=v2" \
+                -d '{
+                    "metadata": {
+                      "modified": "true",
+                      "user": "abc123"
+                    }
+                  }'
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              message = client.beta.threads.messages.update(
+                message_id="msg_abc12",
+                thread_id="thread_abc123",
+                metadata={
+                  "modified": "true",
+                  "user": "abc123",
+                },
+              )
+              print(message)
+            node.js: |-
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const message = await openai.beta.threads.messages.update(
+                  "thread_abc123",
+                  "msg_abc123",
+                  {
+                    metadata: {
+                      modified: "true",
+                      user: "abc123",
+                    },
+                  }
+                }'
+          response: |
+            {
+              "id": "msg_abc123",
+              "object": "thread.message",
+              "created_at": 1699017614,
+              "assistant_id": null,
+              "thread_id": "thread_abc123",
+              "run_id": null,
+              "role": "user",
+              "content": [
+                {
+                  "type": "text",
+                  "text": {
+                    "value": "How does AI work? Explain it in simple terms.",
+                    "annotations": []
+                  }
+                }
+              ],
+              "file_ids": [],
+              "metadata": {
+                "modified": "true",
+                "user": "abc123"
+              }
+            }
+    delete:
+      operationId: deleteMessage
+      tags:
+        - Assistants
+      summary: Deletes a message.
+      parameters:
+        - in: path
+          name: thread_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the thread to which this message belongs.
+        - in: path
+          name: message_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the message to delete.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/DeleteMessageResponse"
+      x-oaiMeta:
+        name: Delete message
+        group: threads
+        beta: true
+        returns: Deletion status
+        examples:
+          request:
+            curl: >
+              curl -X DELETE
+              https://api.openai.com/v1/threads/thread_abc123/messages/msg_abc123
+              \
+                -H "Content-Type: application/json" \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "OpenAI-Beta: assistants=v2"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              deleted_message = client.beta.threads.messages.delete(
+                message_id="msg_abc12",
+                thread_id="thread_abc123",
+              )
+              print(deleted_message)
+            node.js: |-
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const deletedMessage = await openai.beta.threads.messages.del(
+                  "thread_abc123",
+                  "msg_abc123"
+                );
+
+                console.log(deletedMessage);
+              }
+          response: |
+            {
+              "id": "msg_abc123",
+              "object": "thread.message.deleted",
+              "deleted": true
+            }
+  /threads/{thread_id}/runs:
+    get:
+      operationId: listRuns
+      tags:
+        - Assistants
+      summary: Returns a list of runs belonging to a thread.
+      parameters:
+        - name: thread_id
+          in: path
+          required: true
+          schema:
+            type: string
+          description: The ID of the thread the run belongs to.
+        - name: limit
+          in: query
+          description: >
+            A limit on the number of objects to be returned. Limit can range
+            between 1 and 100, and the default is 20.
+          required: false
+          schema:
+            type: integer
+            default: 20
+        - name: order
+          in: query
+          description: >
+            Sort order by the `created_at` timestamp of the objects. `asc` for
+            ascending order and `desc` for descending order.
+          schema:
+            type: string
+            default: desc
+            enum:
+              - asc
+              - desc
+        - name: after
+          in: query
+          description: >
+            A cursor for use in pagination. `after` is an object ID that defines
+            your place in the list. For instance, if you make a list request and
+            receive 100 objects, ending with obj_foo, your subsequent call can
+            include after=obj_foo in order to fetch the next page of the list.
+          schema:
+            type: string
+        - name: before
+          in: query
+          description: >
+            A cursor for use in pagination. `before` is an object ID that
+            defines your place in the list. For instance, if you make a list
+            request and receive 100 objects, starting with obj_foo, your
+            subsequent call can include before=obj_foo in order to fetch the
+            previous page of the list.
+          schema:
+            type: string
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ListRunsResponse"
+      x-oaiMeta:
+        name: List runs
+        group: threads
+        beta: true
+        returns: A list of [run](/docs/api-reference/runs/object) objects.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/threads/thread_abc123/runs \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -H "OpenAI-Beta: assistants=v2"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              runs = client.beta.threads.runs.list(
+                "thread_abc123"
+              )
+
+              print(runs)
+            node.js: |
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const runs = await openai.beta.threads.runs.list(
+                  "thread_abc123"
+                );
+
+                console.log(runs);
+              }
+
+              main();
+          response: |
+            {
+              "object": "list",
+              "data": [
+                {
+                  "id": "run_abc123",
+                  "object": "thread.run",
+                  "created_at": 1699075072,
+                  "assistant_id": "asst_abc123",
+                  "thread_id": "thread_abc123",
+                  "status": "completed",
+                  "started_at": 1699075072,
+                  "expires_at": null,
+                  "cancelled_at": null,
+                  "failed_at": null,
+                  "completed_at": 1699075073,
+                  "last_error": null,
+                  "model": "gpt-4o",
+                  "instructions": null,
+                  "incomplete_details": null,
+                  "tools": [
+                    {
+                      "type": "code_interpreter"
+                    }
+                  ],
+                  "tool_resources": {
+                    "code_interpreter": {
+                      "file_ids": [
+                        "file-abc123",
+                        "file-abc456"
+                      ]
+                    }
+                  },
+                  "metadata": {},
+                  "usage": {
+                    "prompt_tokens": 123,
+                    "completion_tokens": 456,
+                    "total_tokens": 579
+                  },
+                  "temperature": 1.0,
+                  "top_p": 1.0,
+                  "max_prompt_tokens": 1000,
+                  "max_completion_tokens": 1000,
+                  "truncation_strategy": {
+                    "type": "auto",
+                    "last_messages": null
+                  },
+                  "response_format": "auto",
+                  "tool_choice": "auto",
+                  "parallel_tool_calls": true
+                },
+                {
+                  "id": "run_abc456",
+                  "object": "thread.run",
+                  "created_at": 1699063290,
+                  "assistant_id": "asst_abc123",
+                  "thread_id": "thread_abc123",
+                  "status": "completed",
+                  "started_at": 1699063290,
+                  "expires_at": null,
+                  "cancelled_at": null,
+                  "failed_at": null,
+                  "completed_at": 1699063291,
+                  "last_error": null,
+                  "model": "gpt-4o",
+                  "instructions": null,
+                  "incomplete_details": null,
+                  "tools": [
+                    {
+                      "type": "code_interpreter"
+                    }
+                  ],
+                  "tool_resources": {
+                    "code_interpreter": {
+                      "file_ids": [
+                        "file-abc123",
+                        "file-abc456"
+                      ]
+                    }
+                  },
+                  "metadata": {},
+                  "usage": {
+                    "prompt_tokens": 123,
+                    "completion_tokens": 456,
+                    "total_tokens": 579
+                  },
+                  "temperature": 1.0,
+                  "top_p": 1.0,
+                  "max_prompt_tokens": 1000,
+                  "max_completion_tokens": 1000,
+                  "truncation_strategy": {
+                    "type": "auto",
+                    "last_messages": null
+                  },
+                  "response_format": "auto",
+                  "tool_choice": "auto",
+                  "parallel_tool_calls": true
+                }
+              ],
+              "first_id": "run_abc123",
+              "last_id": "run_abc456",
+              "has_more": false
+            }
+    post:
+      operationId: createRun
+      tags:
+        - Assistants
+      summary: Create a run.
+      parameters:
+        - in: path
+          name: thread_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the thread to run.
+        - name: include[]
+          in: query
+          description: >
+            A list of additional fields to include in the response. Currently
+            the only supported value is
+            `step_details.tool_calls[*].file_search.results[*].content` to fetch
+            the file search result content.
+
+
+            See the [file search tool
+            documentation](/docs/assistants/tools/file-search#customizing-file-search-settings)
+            for more information.
+          schema:
+            type: array
+            items:
+              type: string
+              enum:
+                - step_details.tool_calls[*].file_search.results[*].content
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/CreateRunRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/RunObject"
+      x-oaiMeta:
+        name: Create run
+        group: threads
+        beta: true
+        returns: A [run](/docs/api-reference/runs/object) object.
+        examples:
+          - title: Default
+            request:
+              curl: |
+                curl https://api.openai.com/v1/threads/thread_abc123/runs \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -H "Content-Type: application/json" \
+                  -H "OpenAI-Beta: assistants=v2" \
+                  -d '{
+                    "assistant_id": "asst_abc123"
+                  }'
+              python: |
+                from openai import OpenAI
+                client = OpenAI()
+
+                run = client.beta.threads.runs.create(
+                  thread_id="thread_abc123",
+                  assistant_id="asst_abc123"
+                )
+
+                print(run)
+              node.js: |
+                import OpenAI from "openai";
+
+                const openai = new OpenAI();
+
+                async function main() {
+                  const run = await openai.beta.threads.runs.create(
+                    "thread_abc123",
+                    { assistant_id: "asst_abc123" }
+                  );
+
+                  console.log(run);
+                }
+
+                main();
+            response: |
+              {
+                "id": "run_abc123",
+                "object": "thread.run",
+                "created_at": 1699063290,
+                "assistant_id": "asst_abc123",
+                "thread_id": "thread_abc123",
+                "status": "queued",
+                "started_at": 1699063290,
+                "expires_at": null,
+                "cancelled_at": null,
+                "failed_at": null,
+                "completed_at": 1699063291,
+                "last_error": null,
+                "model": "gpt-4o",
+                "instructions": null,
+                "incomplete_details": null,
+                "tools": [
+                  {
+                    "type": "code_interpreter"
+                  }
+                ],
+                "metadata": {},
+                "usage": null,
+                "temperature": 1.0,
+                "top_p": 1.0,
+                "max_prompt_tokens": 1000,
+                "max_completion_tokens": 1000,
+                "truncation_strategy": {
+                  "type": "auto",
+                  "last_messages": null
+                },
+                "response_format": "auto",
+                "tool_choice": "auto",
+                "parallel_tool_calls": true
+              }
+          - title: Streaming
+            request:
+              curl: |
+                curl https://api.openai.com/v1/threads/thread_123/runs \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -H "Content-Type: application/json" \
+                  -H "OpenAI-Beta: assistants=v2" \
+                  -d '{
+                    "assistant_id": "asst_123",
+                    "stream": true
+                  }'
+              python: |
+                from openai import OpenAI
+                client = OpenAI()
+
+                stream = client.beta.threads.runs.create(
+                  thread_id="thread_123",
+                  assistant_id="asst_123",
+                  stream=True
+                )
+
+                for event in stream:
+                  print(event)
+              node.js: |
+                import OpenAI from "openai";
+
+                const openai = new OpenAI();
+
+                async function main() {
+                  const stream = await openai.beta.threads.runs.create(
+                    "thread_123",
+                    { assistant_id: "asst_123", stream: true }
+                  );
+
+                  for await (const event of stream) {
+                    console.log(event);
+                  }
+                }
+
+                main();
+            response: >
+              event: thread.run.created
+
+              data:
+              {"id":"run_123","object":"thread.run","created_at":1710330640,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710331240,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}
+
+
+              event: thread.run.queued
+
+              data:
+              {"id":"run_123","object":"thread.run","created_at":1710330640,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710331240,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}
+
+
+              event: thread.run.in_progress
+
+              data:
+              {"id":"run_123","object":"thread.run","created_at":1710330640,"assistant_id":"asst_123","thread_id":"thread_123","status":"in_progress","started_at":1710330641,"expires_at":1710331240,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}
+
+
+              event: thread.run.step.created
+
+              data:
+              {"id":"step_001","object":"thread.run.step","created_at":1710330641,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710331240,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":null}
+
+
+              event: thread.run.step.in_progress
+
+              data:
+              {"id":"step_001","object":"thread.run.step","created_at":1710330641,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710331240,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":null}
+
+
+              event: thread.message.created
+
+              data:
+              {"id":"msg_001","object":"thread.message","created_at":1710330641,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[],"metadata":{}}
+
+
+              event: thread.message.in_progress
+
+              data:
+              {"id":"msg_001","object":"thread.message","created_at":1710330641,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[],"metadata":{}}
+
+
+              event: thread.message.delta
+
+              data:
+              {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"Hello","annotations":[]}}]}}
+
+
+              ...
+
+
+              event: thread.message.delta
+
+              data:
+              {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"
+              today"}}]}}
+
+
+              event: thread.message.delta
+
+              data:
+              {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"?"}}]}}
+
+
+              event: thread.message.completed
+
+              data:
+              {"id":"msg_001","object":"thread.message","created_at":1710330641,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"completed","incomplete_details":null,"incomplete_at":null,"completed_at":1710330642,"role":"assistant","content":[{"type":"text","text":{"value":"Hello!
+              How can I assist you today?","annotations":[]}}],"metadata":{}}
+
+
+              event: thread.run.step.completed
+
+              data:
+              {"id":"step_001","object":"thread.run.step","created_at":1710330641,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"completed","cancelled_at":null,"completed_at":1710330642,"expires_at":1710331240,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":{"prompt_tokens":20,"completion_tokens":11,"total_tokens":31}}
+
+
+              event: thread.run.completed
+
+              data:
+              {"id":"run_123","object":"thread.run","created_at":1710330640,"assistant_id":"asst_123","thread_id":"thread_123","status":"completed","started_at":1710330641,"expires_at":null,"cancelled_at":null,"failed_at":null,"completed_at":1710330642,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":{"prompt_tokens":20,"completion_tokens":11,"total_tokens":31},"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}
+
+
+              event: done
+
+              data: [DONE]
+          - title: Streaming with Functions
+            request:
+              curl: >
+                curl https://api.openai.com/v1/threads/thread_abc123/runs \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -H "Content-Type: application/json" \
+                  -H "OpenAI-Beta: assistants=v2" \
+                  -d '{
+                    "assistant_id": "asst_abc123",
+                    "tools": [
+                      {
+                        "type": "function",
+                        "function": {
+                          "name": "get_current_weather",
+                          "description": "Get the current weather in a given location",
+                          "parameters": {
+                            "type": "object",
+                            "properties": {
+                              "location": {
+                                "type": "string",
+                                "description": "The city and state, e.g. San Francisco, CA"
+                              },
+                              "unit": {
+                                "type": "string",
+                                "enum": ["celsius", "fahrenheit"]
+                              }
+                            },
+                            "required": ["location"]
+                          }
+                        }
+                      }
+                    ],
+                    "stream": true
+                  }'
+              python: >
+                from openai import OpenAI
+
+                client = OpenAI()
+
+
+                tools = [
+                  {
+                    "type": "function",
+                    "function": {
+                      "name": "get_current_weather",
+                      "description": "Get the current weather in a given location",
+                      "parameters": {
+                        "type": "object",
+                        "properties": {
+                          "location": {
+                            "type": "string",
+                            "description": "The city and state, e.g. San Francisco, CA",
+                          },
+                          "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
+                        },
+                        "required": ["location"],
+                      },
+                    }
+                  }
+                ]
+
+
+                stream = client.beta.threads.runs.create(
+                  thread_id="thread_abc123",
+                  assistant_id="asst_abc123",
+                  tools=tools,
+                  stream=True
+                )
+
+
+                for event in stream:
+                  print(event)
+              node.js: >
+                import OpenAI from "openai";
+
+
+                const openai = new OpenAI();
+
+
+                const tools = [
+                    {
+                      "type": "function",
+                      "function": {
+                        "name": "get_current_weather",
+                        "description": "Get the current weather in a given location",
+                        "parameters": {
+                          "type": "object",
+                          "properties": {
+                            "location": {
+                              "type": "string",
+                              "description": "The city and state, e.g. San Francisco, CA",
+                            },
+                            "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
+                          },
+                          "required": ["location"],
+                        },
+                      }
+                    }
+                ];
+
+
+                async function main() {
+                  const stream = await openai.beta.threads.runs.create(
+                    "thread_abc123",
+                    {
+                      assistant_id: "asst_abc123",
+                      tools: tools,
+                      stream: true
+                    }
+                  );
+
+                  for await (const event of stream) {
+                    console.log(event);
+                  }
+                }
+
+
+                main();
+            response: >
+              event: thread.run.created
+
+              data:
+              {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710348675,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}
+
+
+              event: thread.run.queued
+
+              data:
+              {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":null,"expires_at":1710348675,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}
+
+
+              event: thread.run.in_progress
+
+              data:
+              {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"in_progress","started_at":1710348075,"expires_at":1710348675,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}
+
+
+              event: thread.run.step.created
+
+              data:
+              {"id":"step_001","object":"thread.run.step","created_at":1710348076,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710348675,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":null}
+
+
+              event: thread.run.step.in_progress
+
+              data:
+              {"id":"step_001","object":"thread.run.step","created_at":1710348076,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710348675,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":null}
+
+
+              event: thread.message.created
+
+              data:
+              {"id":"msg_001","object":"thread.message","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[],"metadata":{}}
+
+
+              event: thread.message.in_progress
+
+              data:
+              {"id":"msg_001","object":"thread.message","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[],"metadata":{}}
+
+
+              event: thread.message.delta
+
+              data:
+              {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"Hello","annotations":[]}}]}}
+
+
+              ...
+
+
+              event: thread.message.delta
+
+              data:
+              {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"
+              today"}}]}}
+
+
+              event: thread.message.delta
+
+              data:
+              {"id":"msg_001","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"?"}}]}}
+
+
+              event: thread.message.completed
+
+              data:
+              {"id":"msg_001","object":"thread.message","created_at":1710348076,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"completed","incomplete_details":null,"incomplete_at":null,"completed_at":1710348077,"role":"assistant","content":[{"type":"text","text":{"value":"Hello!
+              How can I assist you today?","annotations":[]}}],"metadata":{}}
+
+
+              event: thread.run.step.completed
+
+              data:
+              {"id":"step_001","object":"thread.run.step","created_at":1710348076,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"completed","cancelled_at":null,"completed_at":1710348077,"expires_at":1710348675,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_001"}},"usage":{"prompt_tokens":20,"completion_tokens":11,"total_tokens":31}}
+
+
+              event: thread.run.completed
+
+              data:
+              {"id":"run_123","object":"thread.run","created_at":1710348075,"assistant_id":"asst_123","thread_id":"thread_123","status":"completed","started_at":1710348075,"expires_at":null,"cancelled_at":null,"failed_at":null,"completed_at":1710348077,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":{"prompt_tokens":20,"completion_tokens":11,"total_tokens":31},"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}
+
+
+              event: done
+
+              data: [DONE]
+  /threads/{thread_id}/runs/{run_id}:
+    get:
+      operationId: getRun
+      tags:
+        - Assistants
+      summary: Retrieves a run.
+      parameters:
+        - in: path
+          name: thread_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the [thread](/docs/api-reference/threads) that was run.
+        - in: path
+          name: run_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the run to retrieve.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/RunObject"
+      x-oaiMeta:
+        name: Retrieve run
+        group: threads
+        beta: true
+        returns: The [run](/docs/api-reference/runs/object) object matching the
+          specified ID.
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/threads/thread_abc123/runs/run_abc123 \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "OpenAI-Beta: assistants=v2"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              run = client.beta.threads.runs.retrieve(
+                thread_id="thread_abc123",
+                run_id="run_abc123"
+              )
+
+              print(run)
+            node.js: |
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const run = await openai.beta.threads.runs.retrieve(
+                  "thread_abc123",
+                  "run_abc123"
+                );
+
+                console.log(run);
+              }
+
+              main();
+          response: |
+            {
+              "id": "run_abc123",
+              "object": "thread.run",
+              "created_at": 1699075072,
+              "assistant_id": "asst_abc123",
+              "thread_id": "thread_abc123",
+              "status": "completed",
+              "started_at": 1699075072,
+              "expires_at": null,
+              "cancelled_at": null,
+              "failed_at": null,
+              "completed_at": 1699075073,
+              "last_error": null,
+              "model": "gpt-4o",
+              "instructions": null,
+              "incomplete_details": null,
+              "tools": [
+                {
+                  "type": "code_interpreter"
+                }
+              ],
+              "metadata": {},
+              "usage": {
+                "prompt_tokens": 123,
+                "completion_tokens": 456,
+                "total_tokens": 579
+              },
+              "temperature": 1.0,
+              "top_p": 1.0,
+              "max_prompt_tokens": 1000,
+              "max_completion_tokens": 1000,
+              "truncation_strategy": {
+                "type": "auto",
+                "last_messages": null
+              },
+              "response_format": "auto",
+              "tool_choice": "auto",
+              "parallel_tool_calls": true
+            }
+    post:
+      operationId: modifyRun
+      tags:
+        - Assistants
+      summary: Modifies a run.
+      parameters:
+        - in: path
+          name: thread_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the [thread](/docs/api-reference/threads) that was run.
+        - in: path
+          name: run_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the run to modify.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/ModifyRunRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/RunObject"
+      x-oaiMeta:
+        name: Modify run
+        group: threads
+        beta: true
+        returns:
+          The modified [run](/docs/api-reference/runs/object) object matching the
+          specified ID.
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/threads/thread_abc123/runs/run_abc123 \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -H "OpenAI-Beta: assistants=v2" \
+                -d '{
+                  "metadata": {
+                    "user_id": "user_abc123"
+                  }
+                }'
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              run = client.beta.threads.runs.update(
+                thread_id="thread_abc123",
+                run_id="run_abc123",
+                metadata={"user_id": "user_abc123"},
+              )
+
+              print(run)
+            node.js: |
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const run = await openai.beta.threads.runs.update(
+                  "thread_abc123",
+                  "run_abc123",
+                  {
+                    metadata: {
+                      user_id: "user_abc123",
+                    },
+                  }
+                );
+
+                console.log(run);
+              }
+
+              main();
+          response: |
+            {
+              "id": "run_abc123",
+              "object": "thread.run",
+              "created_at": 1699075072,
+              "assistant_id": "asst_abc123",
+              "thread_id": "thread_abc123",
+              "status": "completed",
+              "started_at": 1699075072,
+              "expires_at": null,
+              "cancelled_at": null,
+              "failed_at": null,
+              "completed_at": 1699075073,
+              "last_error": null,
+              "model": "gpt-4o",
+              "instructions": null,
+              "incomplete_details": null,
+              "tools": [
+                {
+                  "type": "code_interpreter"
+                }
+              ],
+              "tool_resources": {
+                "code_interpreter": {
+                  "file_ids": [
+                    "file-abc123",
+                    "file-abc456"
+                  ]
+                }
+              },
+              "metadata": {
+                "user_id": "user_abc123"
+              },
+              "usage": {
+                "prompt_tokens": 123,
+                "completion_tokens": 456,
+                "total_tokens": 579
+              },
+              "temperature": 1.0,
+              "top_p": 1.0,
+              "max_prompt_tokens": 1000,
+              "max_completion_tokens": 1000,
+              "truncation_strategy": {
+                "type": "auto",
+                "last_messages": null
+              },
+              "response_format": "auto",
+              "tool_choice": "auto",
+              "parallel_tool_calls": true
+            }
+  /threads/{thread_id}/runs/{run_id}/cancel:
+    post:
+      operationId: cancelRun
+      tags:
+        - Assistants
+      summary: Cancels a run that is `in_progress`.
+      parameters:
+        - in: path
+          name: thread_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the thread to which this run belongs.
+        - in: path
+          name: run_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the run to cancel.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/RunObject"
+      x-oaiMeta:
+        name: Cancel a run
+        group: threads
+        beta: true
+        returns:
+          The modified [run](/docs/api-reference/runs/object) object matching the
+          specified ID.
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/threads/thread_abc123/runs/run_abc123/cancel
+              \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "OpenAI-Beta: assistants=v2" \
+                -X POST
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              run = client.beta.threads.runs.cancel(
+                thread_id="thread_abc123",
+                run_id="run_abc123"
+              )
+
+              print(run)
+            node.js: |
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+              async function main() {
+                const run = await openai.beta.threads.runs.cancel(
+                  "thread_abc123",
+                  "run_abc123"
+                );
+
+                console.log(run);
+              }
+
+              main();
+          response: |
+            {
+              "id": "run_abc123",
+              "object": "thread.run",
+              "created_at": 1699076126,
+              "assistant_id": "asst_abc123",
+              "thread_id": "thread_abc123",
+              "status": "cancelling",
+              "started_at": 1699076126,
+              "expires_at": 1699076726,
+              "cancelled_at": null,
+              "failed_at": null,
+              "completed_at": null,
+              "last_error": null,
+              "model": "gpt-4o",
+              "instructions": "You summarize books.",
+              "tools": [
+                {
+                  "type": "file_search"
+                }
+              ],
+              "tool_resources": {
+                "file_search": {
+                  "vector_store_ids": ["vs_123"]
+                }
+              },
+              "metadata": {},
+              "usage": null,
+              "temperature": 1.0,
+              "top_p": 1.0,
+              "response_format": "auto",
+              "tool_choice": "auto",
+              "parallel_tool_calls": true
+            }
+  /threads/{thread_id}/runs/{run_id}/steps:
+    get:
+      operationId: listRunSteps
+      tags:
+        - Assistants
+      summary: Returns a list of run steps belonging to a run.
+      parameters:
+        - name: thread_id
+          in: path
+          required: true
+          schema:
+            type: string
+          description: The ID of the thread the run and run steps belong to.
+        - name: run_id
+          in: path
+          required: true
+          schema:
+            type: string
+          description: The ID of the run the run steps belong to.
+        - name: limit
+          in: query
+          description: >
+            A limit on the number of objects to be returned. Limit can range
+            between 1 and 100, and the default is 20.
+          required: false
+          schema:
+            type: integer
+            default: 20
+        - name: order
+          in: query
+          description: >
+            Sort order by the `created_at` timestamp of the objects. `asc` for
+            ascending order and `desc` for descending order.
+          schema:
+            type: string
+            default: desc
+            enum:
+              - asc
+              - desc
+        - name: after
+          in: query
+          description: >
+            A cursor for use in pagination. `after` is an object ID that defines
+            your place in the list. For instance, if you make a list request and
+            receive 100 objects, ending with obj_foo, your subsequent call can
+            include after=obj_foo in order to fetch the next page of the list.
+          schema:
+            type: string
+        - name: before
+          in: query
+          description: >
+            A cursor for use in pagination. `before` is an object ID that
+            defines your place in the list. For instance, if you make a list
+            request and receive 100 objects, starting with obj_foo, your
+            subsequent call can include before=obj_foo in order to fetch the
+            previous page of the list.
+          schema:
+            type: string
+        - name: include[]
+          in: query
+          description: >
+            A list of additional fields to include in the response. Currently
+            the only supported value is
+            `step_details.tool_calls[*].file_search.results[*].content` to fetch
+            the file search result content.
+
+
+            See the [file search tool
+            documentation](/docs/assistants/tools/file-search#customizing-file-search-settings)
+            for more information.
+          schema:
+            type: array
+            items:
+              type: string
+              enum:
+                - step_details.tool_calls[*].file_search.results[*].content
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ListRunStepsResponse"
+      x-oaiMeta:
+        name: List run steps
+        group: threads
+        beta: true
+        returns: A list of [run step](/docs/api-reference/run-steps/step-object)
+          objects.
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/threads/thread_abc123/runs/run_abc123/steps
+              \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -H "OpenAI-Beta: assistants=v2"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              run_steps = client.beta.threads.runs.steps.list(
+                  thread_id="thread_abc123",
+                  run_id="run_abc123"
+              )
+
+              print(run_steps)
+            node.js: |
+              import OpenAI from "openai";
+              const openai = new OpenAI();
+
+              async function main() {
+                const runStep = await openai.beta.threads.runs.steps.list(
+                  "thread_abc123",
+                  "run_abc123"
+                );
+                console.log(runStep);
+              }
+
+              main();
+          response: |
+            {
+              "object": "list",
+              "data": [
+                {
+                  "id": "step_abc123",
+                  "object": "thread.run.step",
+                  "created_at": 1699063291,
+                  "run_id": "run_abc123",
+                  "assistant_id": "asst_abc123",
+                  "thread_id": "thread_abc123",
+                  "type": "message_creation",
+                  "status": "completed",
+                  "cancelled_at": null,
+                  "completed_at": 1699063291,
+                  "expired_at": null,
+                  "failed_at": null,
+                  "last_error": null,
+                  "step_details": {
+                    "type": "message_creation",
+                    "message_creation": {
+                      "message_id": "msg_abc123"
+                    }
+                  },
+                  "usage": {
+                    "prompt_tokens": 123,
+                    "completion_tokens": 456,
+                    "total_tokens": 579
+                  }
+                }
+              ],
+              "first_id": "step_abc123",
+              "last_id": "step_abc456",
+              "has_more": false
+            }
+  /threads/{thread_id}/runs/{run_id}/steps/{step_id}:
+    get:
+      operationId: getRunStep
+      tags:
+        - Assistants
+      summary: Retrieves a run step.
+      parameters:
+        - in: path
+          name: thread_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the thread to which the run and run step belongs.
+        - in: path
+          name: run_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the run to which the run step belongs.
+        - in: path
+          name: step_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the run step to retrieve.
+        - name: include[]
+          in: query
+          description: >
+            A list of additional fields to include in the response. Currently
+            the only supported value is
+            `step_details.tool_calls[*].file_search.results[*].content` to fetch
+            the file search result content.
+
+
+            See the [file search tool
+            documentation](/docs/assistants/tools/file-search#customizing-file-search-settings)
+            for more information.
+          schema:
+            type: array
+            items:
+              type: string
+              enum:
+                - step_details.tool_calls[*].file_search.results[*].content
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/RunStepObject"
+      x-oaiMeta:
+        name: Retrieve run step
+        group: threads
+        beta: true
+        returns:
+          The [run step](/docs/api-reference/run-steps/step-object) object
+          matching the specified ID.
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/threads/thread_abc123/runs/run_abc123/steps/step_abc123
+              \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -H "OpenAI-Beta: assistants=v2"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              run_step = client.beta.threads.runs.steps.retrieve(
+                  thread_id="thread_abc123",
+                  run_id="run_abc123",
+                  step_id="step_abc123"
+              )
+
+              print(run_step)
+            node.js: |
+              import OpenAI from "openai";
+              const openai = new OpenAI();
+
+              async function main() {
+                const runStep = await openai.beta.threads.runs.steps.retrieve(
+                  "thread_abc123",
+                  "run_abc123",
+                  "step_abc123"
+                );
+                console.log(runStep);
+              }
+
+              main();
+          response: |
+            {
+              "id": "step_abc123",
+              "object": "thread.run.step",
+              "created_at": 1699063291,
+              "run_id": "run_abc123",
+              "assistant_id": "asst_abc123",
+              "thread_id": "thread_abc123",
+              "type": "message_creation",
+              "status": "completed",
+              "cancelled_at": null,
+              "completed_at": 1699063291,
+              "expired_at": null,
+              "failed_at": null,
+              "last_error": null,
+              "step_details": {
+                "type": "message_creation",
+                "message_creation": {
+                  "message_id": "msg_abc123"
+                }
+              },
+              "usage": {
+                "prompt_tokens": 123,
+                "completion_tokens": 456,
+                "total_tokens": 579
+              }
+            }
+  /threads/{thread_id}/runs/{run_id}/submit_tool_outputs:
+    post:
+      operationId: submitToolOuputsToRun
+      tags:
+        - Assistants
+      summary: >
+        When a run has the `status: "requires_action"` and
+        `required_action.type` is `submit_tool_outputs`, this endpoint can be
+        used to submit the outputs from the tool calls once they're all
+        completed. All outputs must be submitted in a single request.
+      parameters:
+        - in: path
+          name: thread_id
+          required: true
+          schema:
+            type: string
+          description:
+            The ID of the [thread](/docs/api-reference/threads) to which this
+            run belongs.
+        - in: path
+          name: run_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the run that requires the tool output submission.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/SubmitToolOutputsRunRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/RunObject"
+      x-oaiMeta:
+        name: Submit tool outputs to run
+        group: threads
+        beta: true
+        returns:
+          The modified [run](/docs/api-reference/runs/object) object matching the
+          specified ID.
+        examples:
+          - title: Default
+            request:
+              curl: >
+                curl
+                https://api.openai.com/v1/threads/thread_123/runs/run_123/submit_tool_outputs
+                \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -H "Content-Type: application/json" \
+                  -H "OpenAI-Beta: assistants=v2" \
+                  -d '{
+                    "tool_outputs": [
+                      {
+                        "tool_call_id": "call_001",
+                        "output": "70 degrees and sunny."
+                      }
+                    ]
+                  }'
+              python: |
+                from openai import OpenAI
+                client = OpenAI()
+
+                run = client.beta.threads.runs.submit_tool_outputs(
+                  thread_id="thread_123",
+                  run_id="run_123",
+                  tool_outputs=[
+                    {
+                      "tool_call_id": "call_001",
+                      "output": "70 degrees and sunny."
+                    }
+                  ]
+                )
+
+                print(run)
+              node.js: |
+                import OpenAI from "openai";
+
+                const openai = new OpenAI();
+
+                async function main() {
+                  const run = await openai.beta.threads.runs.submitToolOutputs(
+                    "thread_123",
+                    "run_123",
+                    {
+                      tool_outputs: [
+                        {
+                          tool_call_id: "call_001",
+                          output: "70 degrees and sunny.",
+                        },
+                      ],
+                    }
+                  );
+
+                  console.log(run);
+                }
+
+                main();
+            response: >
+              {
+                "id": "run_123",
+                "object": "thread.run",
+                "created_at": 1699075592,
+                "assistant_id": "asst_123",
+                "thread_id": "thread_123",
+                "status": "queued",
+                "started_at": 1699075592,
+                "expires_at": 1699076192,
+                "cancelled_at": null,
+                "failed_at": null,
+                "completed_at": null,
+                "last_error": null,
+                "model": "gpt-4o",
+                "instructions": null,
+                "tools": [
+                  {
+                    "type": "function",
+                    "function": {
+                      "name": "get_current_weather",
+                      "description": "Get the current weather in a given location",
+                      "parameters": {
+                        "type": "object",
+                        "properties": {
+                          "location": {
+                            "type": "string",
+                            "description": "The city and state, e.g. San Francisco, CA"
+                          },
+                          "unit": {
+                            "type": "string",
+                            "enum": ["celsius", "fahrenheit"]
+                          }
+                        },
+                        "required": ["location"]
+                      }
+                    }
+                  }
+                ],
+                "metadata": {},
+                "usage": null,
+                "temperature": 1.0,
+                "top_p": 1.0,
+                "max_prompt_tokens": 1000,
+                "max_completion_tokens": 1000,
+                "truncation_strategy": {
+                  "type": "auto",
+                  "last_messages": null
+                },
+                "response_format": "auto",
+                "tool_choice": "auto",
+                "parallel_tool_calls": true
+              }
+          - title: Streaming
+            request:
+              curl: >
+                curl
+                https://api.openai.com/v1/threads/thread_123/runs/run_123/submit_tool_outputs
+                \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -H "Content-Type: application/json" \
+                  -H "OpenAI-Beta: assistants=v2" \
+                  -d '{
+                    "tool_outputs": [
+                      {
+                        "tool_call_id": "call_001",
+                        "output": "70 degrees and sunny."
+                      }
+                    ],
+                    "stream": true
+                  }'
+              python: |
+                from openai import OpenAI
+                client = OpenAI()
+
+                stream = client.beta.threads.runs.submit_tool_outputs(
+                  thread_id="thread_123",
+                  run_id="run_123",
+                  tool_outputs=[
+                    {
+                      "tool_call_id": "call_001",
+                      "output": "70 degrees and sunny."
+                    }
+                  ],
+                  stream=True
+                )
+
+                for event in stream:
+                  print(event)
+              node.js: >
+                import OpenAI from "openai";
+
+
+                const openai = new OpenAI();
+
+
+                async function main() {
+                  const stream = await openai.beta.threads.runs.submitToolOutputs(
+                    "thread_123",
+                    "run_123",
+                    {
+                      tool_outputs: [
+                        {
+                          tool_call_id: "call_001",
+                          output: "70 degrees and sunny.",
+                        },
+                      ],
+                    }
+                  );
+
+                  for await (const event of stream) {
+                    console.log(event);
+                  }
+                }
+
+
+                main();
+            response: >
+              event: thread.run.step.completed
+
+              data:
+              {"id":"step_001","object":"thread.run.step","created_at":1710352449,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"tool_calls","status":"completed","cancelled_at":null,"completed_at":1710352475,"expires_at":1710353047,"failed_at":null,"last_error":null,"step_details":{"type":"tool_calls","tool_calls":[{"id":"call_iWr0kQ2EaYMaxNdl0v3KYkx7","type":"function","function":{"name":"get_current_weather","arguments":"{\"location\":\"San
+              Francisco, CA\",\"unit\":\"fahrenheit\"}","output":"70 degrees and
+              sunny."}}]},"usage":{"prompt_tokens":291,"completion_tokens":24,"total_tokens":315}}
+
+
+              event: thread.run.queued
+
+              data:
+              {"id":"run_123","object":"thread.run","created_at":1710352447,"assistant_id":"asst_123","thread_id":"thread_123","status":"queued","started_at":1710352448,"expires_at":1710353047,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[{"type":"function","function":{"name":"get_current_weather","description":"Get
+              the current weather in a given
+              location","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The
+              city and state, e.g. San Francisco,
+              CA"},"unit":{"type":"string","enum":["celsius","fahrenheit"]}},"required":["location"]}}}],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}
+
+
+              event: thread.run.in_progress
+
+              data:
+              {"id":"run_123","object":"thread.run","created_at":1710352447,"assistant_id":"asst_123","thread_id":"thread_123","status":"in_progress","started_at":1710352475,"expires_at":1710353047,"cancelled_at":null,"failed_at":null,"completed_at":null,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[{"type":"function","function":{"name":"get_current_weather","description":"Get
+              the current weather in a given
+              location","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The
+              city and state, e.g. San Francisco,
+              CA"},"unit":{"type":"string","enum":["celsius","fahrenheit"]}},"required":["location"]}}}],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":null,"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}
+
+
+              event: thread.run.step.created
+
+              data:
+              {"id":"step_002","object":"thread.run.step","created_at":1710352476,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710353047,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_002"}},"usage":null}
+
+
+              event: thread.run.step.in_progress
+
+              data:
+              {"id":"step_002","object":"thread.run.step","created_at":1710352476,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"in_progress","cancelled_at":null,"completed_at":null,"expires_at":1710353047,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_002"}},"usage":null}
+
+
+              event: thread.message.created
+
+              data:
+              {"id":"msg_002","object":"thread.message","created_at":1710352476,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[],"metadata":{}}
+
+
+              event: thread.message.in_progress
+
+              data:
+              {"id":"msg_002","object":"thread.message","created_at":1710352476,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"in_progress","incomplete_details":null,"incomplete_at":null,"completed_at":null,"role":"assistant","content":[],"metadata":{}}
+
+
+              event: thread.message.delta
+
+              data:
+              {"id":"msg_002","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"The","annotations":[]}}]}}
+
+
+              event: thread.message.delta
+
+              data:
+              {"id":"msg_002","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"
+              current"}}]}}
+
+
+              event: thread.message.delta
+
+              data:
+              {"id":"msg_002","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"
+              weather"}}]}}
+
+
+              ...
+
+
+              event: thread.message.delta
+
+              data:
+              {"id":"msg_002","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"
+              sunny"}}]}}
+
+
+              event: thread.message.delta
+
+              data:
+              {"id":"msg_002","object":"thread.message.delta","delta":{"content":[{"index":0,"type":"text","text":{"value":"."}}]}}
+
+
+              event: thread.message.completed
+
+              data:
+              {"id":"msg_002","object":"thread.message","created_at":1710352476,"assistant_id":"asst_123","thread_id":"thread_123","run_id":"run_123","status":"completed","incomplete_details":null,"incomplete_at":null,"completed_at":1710352477,"role":"assistant","content":[{"type":"text","text":{"value":"The
+              current weather in San Francisco, CA is 70 degrees Fahrenheit and
+              sunny.","annotations":[]}}],"metadata":{}}
+
+
+              event: thread.run.step.completed
+
+              data:
+              {"id":"step_002","object":"thread.run.step","created_at":1710352476,"run_id":"run_123","assistant_id":"asst_123","thread_id":"thread_123","type":"message_creation","status":"completed","cancelled_at":null,"completed_at":1710352477,"expires_at":1710353047,"failed_at":null,"last_error":null,"step_details":{"type":"message_creation","message_creation":{"message_id":"msg_002"}},"usage":{"prompt_tokens":329,"completion_tokens":18,"total_tokens":347}}
+
+
+              event: thread.run.completed
+
+              data:
+              {"id":"run_123","object":"thread.run","created_at":1710352447,"assistant_id":"asst_123","thread_id":"thread_123","status":"completed","started_at":1710352475,"expires_at":null,"cancelled_at":null,"failed_at":null,"completed_at":1710352477,"required_action":null,"last_error":null,"model":"gpt-4o","instructions":null,"tools":[{"type":"function","function":{"name":"get_current_weather","description":"Get
+              the current weather in a given
+              location","parameters":{"type":"object","properties":{"location":{"type":"string","description":"The
+              city and state, e.g. San Francisco,
+              CA"},"unit":{"type":"string","enum":["celsius","fahrenheit"]}},"required":["location"]}}}],"metadata":{},"temperature":1.0,"top_p":1.0,"max_completion_tokens":null,"max_prompt_tokens":null,"truncation_strategy":{"type":"auto","last_messages":null},"incomplete_details":null,"usage":{"prompt_tokens":20,"completion_tokens":11,"total_tokens":31},"response_format":"auto","tool_choice":"auto","parallel_tool_calls":true}}
+
+
+              event: done
+
+              data: [DONE]
+  /uploads:
+    post:
+      operationId: createUpload
+      tags:
+        - Uploads
+      summary: >
+        Creates an intermediate [Upload](/docs/api-reference/uploads/object)
+        object
+
+        that you can add [Parts](/docs/api-reference/uploads/part-object) to.
+
+        Currently, an Upload can accept at most 8 GB in total and expires after
+        an
+
+        hour after you create it.
+
+
+        Once you complete the Upload, we will create a
+
+        [File](/docs/api-reference/files/object) object that contains all the
+        parts
+
+        you uploaded. This File is usable in the rest of our platform as a
+        regular
+
+        File object.
+
+
+        For certain `purpose` values, the correct `mime_type` must be
+        specified. 
+
+        Please refer to documentation for the 
+
+        [supported MIME types for your use
+        case](/docs/assistants/tools/file-search#supported-files).
+
+
+        For guidance on the proper filename extensions for each purpose, please
+
+        follow the documentation on [creating a
+
+        File](/docs/api-reference/files/create).
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/CreateUploadRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/Upload"
+      x-oaiMeta:
+        name: Create upload
+        group: uploads
+        returns:
+          The [Upload](/docs/api-reference/uploads/object) object with status
+          `pending`.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/uploads \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -d '{
+                  "purpose": "fine-tune",
+                  "filename": "training_examples.jsonl",
+                  "bytes": 2147483648,
+                  "mime_type": "text/jsonl"
+                }'
+          response: |
+            {
+              "id": "upload_abc123",
+              "object": "upload",
+              "bytes": 2147483648,
+              "created_at": 1719184911,
+              "filename": "training_examples.jsonl",
+              "purpose": "fine-tune",
+              "status": "pending",
+              "expires_at": 1719127296
+            }
+  /uploads/{upload_id}/cancel:
+    post:
+      operationId: cancelUpload
+      tags:
+        - Uploads
+      summary: |
+        Cancels the Upload. No Parts may be added after an Upload is cancelled.
+      parameters:
+        - in: path
+          name: upload_id
+          required: true
+          schema:
+            type: string
+            example: upload_abc123
+          description: |
+            The ID of the Upload.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/Upload"
+      x-oaiMeta:
+        name: Cancel upload
+        group: uploads
+        returns:
+          The [Upload](/docs/api-reference/uploads/object) object with status
+          `cancelled`.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/uploads/upload_abc123/cancel
+          response: |
+            {
+              "id": "upload_abc123",
+              "object": "upload",
+              "bytes": 2147483648,
+              "created_at": 1719184911,
+              "filename": "training_examples.jsonl",
+              "purpose": "fine-tune",
+              "status": "cancelled",
+              "expires_at": 1719127296
+            }
+  /uploads/{upload_id}/complete:
+    post:
+      operationId: completeUpload
+      tags:
+        - Uploads
+      summary: >
+        Completes the [Upload](/docs/api-reference/uploads/object). 
+
+
+        Within the returned Upload object, there is a nested
+        [File](/docs/api-reference/files/object) object that is ready to use in
+        the rest of the platform.
+
+
+        You can specify the order of the Parts by passing in an ordered list of
+        the Part IDs.
+
+
+        The number of bytes uploaded upon completion must match the number of
+        bytes initially specified when creating the Upload object. No Parts may
+        be added after an Upload is completed.
+      parameters:
+        - in: path
+          name: upload_id
+          required: true
+          schema:
+            type: string
+            example: upload_abc123
+          description: |
+            The ID of the Upload.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/CompleteUploadRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/Upload"
+      x-oaiMeta:
+        name: Complete upload
+        group: uploads
+        returns:
+          The [Upload](/docs/api-reference/uploads/object) object with status
+          `completed` with an additional `file` property containing the created
+          usable File object.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/uploads/upload_abc123/complete
+                -d '{
+                  "part_ids": ["part_def456", "part_ghi789"]
+                }'
+          response: |
+            {
+              "id": "upload_abc123",
+              "object": "upload",
+              "bytes": 2147483648,
+              "created_at": 1719184911,
+              "filename": "training_examples.jsonl",
+              "purpose": "fine-tune",
+              "status": "completed",
+              "expires_at": 1719127296,
+              "file": {
+                "id": "file-xyz321",
+                "object": "file",
+                "bytes": 2147483648,
+                "created_at": 1719186911,
+                "filename": "training_examples.jsonl",
+                "purpose": "fine-tune",
+              }
+            }
+  /uploads/{upload_id}/parts:
+    post:
+      operationId: addUploadPart
+      tags:
+        - Uploads
+      summary: >
+        Adds a [Part](/docs/api-reference/uploads/part-object) to an
+        [Upload](/docs/api-reference/uploads/object) object. A Part represents a
+        chunk of bytes from the file you are trying to upload. 
+
+
+        Each Part can be at most 64 MB, and you can add Parts until you hit the
+        Upload maximum of 8 GB.
+
+
+        It is possible to add multiple Parts in parallel. You can decide the
+        intended order of the Parts when you [complete the
+        Upload](/docs/api-reference/uploads/complete).
+      parameters:
+        - in: path
+          name: upload_id
+          required: true
+          schema:
+            type: string
+            example: upload_abc123
+          description: |
+            The ID of the Upload.
+      requestBody:
+        required: true
+        content:
+          multipart/form-data:
+            schema:
+              $ref: "#/components/schemas/AddUploadPartRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/UploadPart"
+      x-oaiMeta:
+        name: Add upload part
+        group: uploads
+        returns: The upload [Part](/docs/api-reference/uploads/part-object) object.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/uploads/upload_abc123/parts
+                -F data="aHR0cHM6Ly9hcGkub3BlbmFpLmNvbS92MS91cGxvYWRz..."
+          response: |
+            {
+              "id": "part_def456",
+              "object": "upload.part",
+              "created_at": 1719185911,
+              "upload_id": "upload_abc123"
+            }
+  /vector_stores:
+    get:
+      operationId: listVectorStores
+      tags:
+        - Vector stores
+      summary: Returns a list of vector stores.
+      parameters:
+        - name: limit
+          in: query
+          description: >
+            A limit on the number of objects to be returned. Limit can range
+            between 1 and 100, and the default is 20.
+          required: false
+          schema:
+            type: integer
+            default: 20
+        - name: order
+          in: query
+          description: >
+            Sort order by the `created_at` timestamp of the objects. `asc` for
+            ascending order and `desc` for descending order.
+          schema:
+            type: string
+            default: desc
+            enum:
+              - asc
+              - desc
+        - name: after
+          in: query
+          description: >
+            A cursor for use in pagination. `after` is an object ID that defines
+            your place in the list. For instance, if you make a list request and
+            receive 100 objects, ending with obj_foo, your subsequent call can
+            include after=obj_foo in order to fetch the next page of the list.
+          schema:
+            type: string
+        - name: before
+          in: query
+          description: >
+            A cursor for use in pagination. `before` is an object ID that
+            defines your place in the list. For instance, if you make a list
+            request and receive 100 objects, starting with obj_foo, your
+            subsequent call can include before=obj_foo in order to fetch the
+            previous page of the list.
+          schema:
+            type: string
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ListVectorStoresResponse"
+      x-oaiMeta:
+        name: List vector stores
+        group: vector_stores
+        returns:
+          A list of [vector store](/docs/api-reference/vector-stores/object)
+          objects.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/vector_stores \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -H "OpenAI-Beta: assistants=v2"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              vector_stores = client.vector_stores.list()
+              print(vector_stores)
+            node.js: |
+              import OpenAI from "openai";
+              const openai = new OpenAI();
+
+              async function main() {
+                const vectorStores = await openai.vectorStores.list();
+                console.log(vectorStores);
+              }
+
+              main();
+          response: |
+            {
+              "object": "list",
+              "data": [
+                {
+                  "id": "vs_abc123",
+                  "object": "vector_store",
+                  "created_at": 1699061776,
+                  "name": "Support FAQ",
+                  "bytes": 139920,
+                  "file_counts": {
+                    "in_progress": 0,
+                    "completed": 3,
+                    "failed": 0,
+                    "cancelled": 0,
+                    "total": 3
+                  }
+                },
+                {
+                  "id": "vs_abc456",
+                  "object": "vector_store",
+                  "created_at": 1699061776,
+                  "name": "Support FAQ v2",
+                  "bytes": 139920,
+                  "file_counts": {
+                    "in_progress": 0,
+                    "completed": 3,
+                    "failed": 0,
+                    "cancelled": 0,
+                    "total": 3
+                  }
+                }
+              ],
+              "first_id": "vs_abc123",
+              "last_id": "vs_abc456",
+              "has_more": false
+            }
+    post:
+      operationId: createVectorStore
+      tags:
+        - Vector stores
+      summary: Create a vector store.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/CreateVectorStoreRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/VectorStoreObject"
+      x-oaiMeta:
+        name: Create vector store
+        group: vector_stores
+        returns: A [vector store](/docs/api-reference/vector-stores/object) object.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/vector_stores \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -H "OpenAI-Beta: assistants=v2" \
+                -d '{
+                  "name": "Support FAQ"
+                }'
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              vector_store = client.vector_stores.create(
+                name="Support FAQ"
+              )
+              print(vector_store)
+            node.js: |
+              import OpenAI from "openai";
+              const openai = new OpenAI();
+
+              async function main() {
+                const vectorStore = await openai.vectorStores.create({
+                  name: "Support FAQ"
+                });
+                console.log(vectorStore);
+              }
+
+              main();
+          response: |
+            {
+              "id": "vs_abc123",
+              "object": "vector_store",
+              "created_at": 1699061776,
+              "name": "Support FAQ",
+              "bytes": 139920,
+              "file_counts": {
+                "in_progress": 0,
+                "completed": 3,
+                "failed": 0,
+                "cancelled": 0,
+                "total": 3
+              }
+            }
+  /vector_stores/{vector_store_id}:
+    get:
+      operationId: getVectorStore
+      tags:
+        - Vector stores
+      summary: Retrieves a vector store.
+      parameters:
+        - in: path
+          name: vector_store_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the vector store to retrieve.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/VectorStoreObject"
+      x-oaiMeta:
+        name: Retrieve vector store
+        group: vector_stores
+        returns:
+          The [vector store](/docs/api-reference/vector-stores/object) object
+          matching the specified ID.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/vector_stores/vs_abc123 \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -H "OpenAI-Beta: assistants=v2"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              vector_store = client.vector_stores.retrieve(
+                vector_store_id="vs_abc123"
+              )
+              print(vector_store)
+            node.js: |
+              import OpenAI from "openai";
+              const openai = new OpenAI();
+
+              async function main() {
+                const vectorStore = await openai.vectorStores.retrieve(
+                  "vs_abc123"
+                );
+                console.log(vectorStore);
+              }
+
+              main();
+          response: |
+            {
+              "id": "vs_abc123",
+              "object": "vector_store",
+              "created_at": 1699061776
+            }
+    post:
+      operationId: modifyVectorStore
+      tags:
+        - Vector stores
+      summary: Modifies a vector store.
+      parameters:
+        - in: path
+          name: vector_store_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the vector store to modify.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/UpdateVectorStoreRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/VectorStoreObject"
+      x-oaiMeta:
+        name: Modify vector store
+        group: vector_stores
+        returns:
+          The modified [vector store](/docs/api-reference/vector-stores/object)
+          object.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/vector_stores/vs_abc123 \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -H "OpenAI-Beta: assistants=v2"
+                -d '{
+                  "name": "Support FAQ"
+                }'
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              vector_store = client.vector_stores.update(
+                vector_store_id="vs_abc123",
+                name="Support FAQ"
+              )
+              print(vector_store)
+            node.js: |
+              import OpenAI from "openai";
+              const openai = new OpenAI();
+
+              async function main() {
+                const vectorStore = await openai.vectorStores.update(
+                  "vs_abc123",
+                  {
+                    name: "Support FAQ"
+                  }
+                );
+                console.log(vectorStore);
+              }
+
+              main();
+          response: |
+            {
+              "id": "vs_abc123",
+              "object": "vector_store",
+              "created_at": 1699061776,
+              "name": "Support FAQ",
+              "bytes": 139920,
+              "file_counts": {
+                "in_progress": 0,
+                "completed": 3,
+                "failed": 0,
+                "cancelled": 0,
+                "total": 3
+              }
+            }
+    delete:
+      operationId: deleteVectorStore
+      tags:
+        - Vector stores
+      summary: Delete a vector store.
+      parameters:
+        - in: path
+          name: vector_store_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the vector store to delete.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/DeleteVectorStoreResponse"
+      x-oaiMeta:
+        name: Delete vector store
+        group: vector_stores
+        returns: Deletion status
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/vector_stores/vs_abc123 \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -H "OpenAI-Beta: assistants=v2" \
+                -X DELETE
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              deleted_vector_store = client.vector_stores.delete(
+                vector_store_id="vs_abc123"
+              )
+              print(deleted_vector_store)
+            node.js: |
+              import OpenAI from "openai";
+              const openai = new OpenAI();
+
+              async function main() {
+                const deletedVectorStore = await openai.vectorStores.del(
+                  "vs_abc123"
+                );
+                console.log(deletedVectorStore);
+              }
+
+              main();
+          response: |
+            {
+              id: "vs_abc123",
+              object: "vector_store.deleted",
+              deleted: true
+            }
+  /vector_stores/{vector_store_id}/file_batches:
+    post:
+      operationId: createVectorStoreFileBatch
+      tags:
+        - Vector stores
+      summary: Create a vector store file batch.
+      parameters:
+        - in: path
+          name: vector_store_id
+          required: true
+          schema:
+            type: string
+            example: vs_abc123
+          description: |
+            The ID of the vector store for which to create a File Batch.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/CreateVectorStoreFileBatchRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/VectorStoreFileBatchObject"
+      x-oaiMeta:
+        name: Create vector store file batch
+        group: vector_stores
+        returns: A [vector store file
+          batch](/docs/api-reference/vector-stores-file-batches/batch-object)
+          object.
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/vector_stores/vs_abc123/file_batches \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -H "Content-Type: application/json \
+                  -H "OpenAI-Beta: assistants=v2" \
+                  -d '{
+                    "file_ids": ["file-abc123", "file-abc456"]
+                  }'
+            python: >
+              from openai import OpenAI
+
+              client = OpenAI()
+
+
+              vector_store_file_batch =
+              client.vector_stores.file_batches.create(
+                vector_store_id="vs_abc123",
+                file_ids=["file-abc123", "file-abc456"]
+              )
+
+              print(vector_store_file_batch)
+            node.js: >
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+
+              async function main() {
+                const myVectorStoreFileBatch = await openai.vectorStores.fileBatches.create(
+                  "vs_abc123",
+                  {
+                    file_ids: ["file-abc123", "file-abc456"]
+                  }
+                );
+                console.log(myVectorStoreFileBatch);
+              }
+
+
+              main();
+          response: |
+            {
+              "id": "vsfb_abc123",
+              "object": "vector_store.file_batch",
+              "created_at": 1699061776,
+              "vector_store_id": "vs_abc123",
+              "status": "in_progress",
+              "file_counts": {
+                "in_progress": 1,
+                "completed": 1,
+                "failed": 0,
+                "cancelled": 0,
+                "total": 0,
+              }
+            }
+  /vector_stores/{vector_store_id}/file_batches/{batch_id}:
+    get:
+      operationId: getVectorStoreFileBatch
+      tags:
+        - Vector stores
+      summary: Retrieves a vector store file batch.
+      parameters:
+        - in: path
+          name: vector_store_id
+          required: true
+          schema:
+            type: string
+            example: vs_abc123
+          description: The ID of the vector store that the file batch belongs to.
+        - in: path
+          name: batch_id
+          required: true
+          schema:
+            type: string
+            example: vsfb_abc123
+          description: The ID of the file batch being retrieved.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/VectorStoreFileBatchObject"
+      x-oaiMeta:
+        name: Retrieve vector store file batch
+        group: vector_stores
+        returns: The [vector store file
+          batch](/docs/api-reference/vector-stores-file-batches/batch-object)
+          object.
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/vector_stores/vs_abc123/files_batches/vsfb_abc123
+              \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -H "OpenAI-Beta: assistants=v2"
+            python: >
+              from openai import OpenAI
+
+              client = OpenAI()
+
+
+              vector_store_file_batch =
+              client.vector_stores.file_batches.retrieve(
+                vector_store_id="vs_abc123",
+                batch_id="vsfb_abc123"
+              )
+
+              print(vector_store_file_batch)
+            node.js: >
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+
+              async function main() {
+                const vectorStoreFileBatch = await openai.vectorStores.fileBatches.retrieve(
+                  "vs_abc123",
+                  "vsfb_abc123"
+                );
+                console.log(vectorStoreFileBatch);
+              }
+
+
+              main();
+          response: |
+            {
+              "id": "vsfb_abc123",
+              "object": "vector_store.file_batch",
+              "created_at": 1699061776,
+              "vector_store_id": "vs_abc123",
+              "status": "in_progress",
+              "file_counts": {
+                "in_progress": 1,
+                "completed": 1,
+                "failed": 0,
+                "cancelled": 0,
+                "total": 0,
+              }
+            }
+  /vector_stores/{vector_store_id}/file_batches/{batch_id}/cancel:
+    post:
+      operationId: cancelVectorStoreFileBatch
+      tags:
+        - Vector stores
+      summary: Cancel a vector store file batch. This attempts to cancel the
+        processing of files in this batch as soon as possible.
+      parameters:
+        - in: path
+          name: vector_store_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the vector store that the file batch belongs to.
+        - in: path
+          name: batch_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the file batch to cancel.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/VectorStoreFileBatchObject"
+      x-oaiMeta:
+        name: Cancel vector store file batch
+        group: vector_stores
+        returns: The modified vector store file batch object.
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/vector_stores/vs_abc123/files_batches/vsfb_abc123/cancel
+              \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -H "OpenAI-Beta: assistants=v2" \
+                -X POST
+            python: >
+              from openai import OpenAI
+
+              client = OpenAI()
+
+
+              deleted_vector_store_file_batch =
+              client.vector_stores.file_batches.cancel(
+                  vector_store_id="vs_abc123",
+                  file_batch_id="vsfb_abc123"
+              )
+
+              print(deleted_vector_store_file_batch)
+            node.js: >
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+
+              async function main() {
+                const deletedVectorStoreFileBatch = await openai.vectorStores.fileBatches.cancel(
+                  "vs_abc123",
+                  "vsfb_abc123"
+                );
+                console.log(deletedVectorStoreFileBatch);
+              }
+
+
+              main();
+          response: |
+            {
+              "id": "vsfb_abc123",
+              "object": "vector_store.file_batch",
+              "created_at": 1699061776,
+              "vector_store_id": "vs_abc123",
+              "status": "in_progress",
+              "file_counts": {
+                "in_progress": 12,
+                "completed": 3,
+                "failed": 0,
+                "cancelled": 0,
+                "total": 15,
+              }
+            }
+  /vector_stores/{vector_store_id}/file_batches/{batch_id}/files:
+    get:
+      operationId: listFilesInVectorStoreBatch
+      tags:
+        - Vector stores
+      summary: Returns a list of vector store files in a batch.
+      parameters:
+        - name: vector_store_id
+          in: path
+          description: The ID of the vector store that the files belong to.
+          required: true
+          schema:
+            type: string
+        - name: batch_id
+          in: path
+          description: The ID of the file batch that the files belong to.
+          required: true
+          schema:
+            type: string
+        - name: limit
+          in: query
+          description: >
+            A limit on the number of objects to be returned. Limit can range
+            between 1 and 100, and the default is 20.
+          required: false
+          schema:
+            type: integer
+            default: 20
+        - name: order
+          in: query
+          description: >
+            Sort order by the `created_at` timestamp of the objects. `asc` for
+            ascending order and `desc` for descending order.
+          schema:
+            type: string
+            default: desc
+            enum:
+              - asc
+              - desc
+        - name: after
+          in: query
+          description: >
+            A cursor for use in pagination. `after` is an object ID that defines
+            your place in the list. For instance, if you make a list request and
+            receive 100 objects, ending with obj_foo, your subsequent call can
+            include after=obj_foo in order to fetch the next page of the list.
+          schema:
+            type: string
+        - name: before
+          in: query
+          description: >
+            A cursor for use in pagination. `before` is an object ID that
+            defines your place in the list. For instance, if you make a list
+            request and receive 100 objects, starting with obj_foo, your
+            subsequent call can include before=obj_foo in order to fetch the
+            previous page of the list.
+          schema:
+            type: string
+        - name: filter
+          in: query
+          description:
+            Filter by file status. One of `in_progress`, `completed`, `failed`,
+            `cancelled`.
+          schema:
+            type: string
+            enum:
+              - in_progress
+              - completed
+              - failed
+              - cancelled
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ListVectorStoreFilesResponse"
+      x-oaiMeta:
+        name: List vector store files in a batch
+        group: vector_stores
+        returns: A list of [vector store
+          file](/docs/api-reference/vector-stores-files/file-object) objects.
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/vector_stores/vs_abc123/files_batches/vsfb_abc123/files
+              \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -H "OpenAI-Beta: assistants=v2"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              vector_store_files = client.vector_stores.file_batches.list_files(
+                vector_store_id="vs_abc123",
+                batch_id="vsfb_abc123"
+              )
+              print(vector_store_files)
+            node.js: >
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+
+              async function main() {
+                const vectorStoreFiles = await openai.vectorStores.fileBatches.listFiles(
+                  "vs_abc123",
+                  "vsfb_abc123"
+                );
+                console.log(vectorStoreFiles);
+              }
+
+
+              main();
+          response: |
+            {
+              "object": "list",
+              "data": [
+                {
+                  "id": "file-abc123",
+                  "object": "vector_store.file",
+                  "created_at": 1699061776,
+                  "vector_store_id": "vs_abc123"
+                },
+                {
+                  "id": "file-abc456",
+                  "object": "vector_store.file",
+                  "created_at": 1699061776,
+                  "vector_store_id": "vs_abc123"
+                }
+              ],
+              "first_id": "file-abc123",
+              "last_id": "file-abc456",
+              "has_more": false
+            }
+  /vector_stores/{vector_store_id}/files:
+    get:
+      operationId: listVectorStoreFiles
+      tags:
+        - Vector stores
+      summary: Returns a list of vector store files.
+      parameters:
+        - name: vector_store_id
+          in: path
+          description: The ID of the vector store that the files belong to.
+          required: true
+          schema:
+            type: string
+        - name: limit
+          in: query
+          description: >
+            A limit on the number of objects to be returned. Limit can range
+            between 1 and 100, and the default is 20.
+          required: false
+          schema:
+            type: integer
+            default: 20
+        - name: order
+          in: query
+          description: >
+            Sort order by the `created_at` timestamp of the objects. `asc` for
+            ascending order and `desc` for descending order.
+          schema:
+            type: string
+            default: desc
+            enum:
+              - asc
+              - desc
+        - name: after
+          in: query
+          description: >
+            A cursor for use in pagination. `after` is an object ID that defines
+            your place in the list. For instance, if you make a list request and
+            receive 100 objects, ending with obj_foo, your subsequent call can
+            include after=obj_foo in order to fetch the next page of the list.
+          schema:
+            type: string
+        - name: before
+          in: query
+          description: >
+            A cursor for use in pagination. `before` is an object ID that
+            defines your place in the list. For instance, if you make a list
+            request and receive 100 objects, starting with obj_foo, your
+            subsequent call can include before=obj_foo in order to fetch the
+            previous page of the list.
+          schema:
+            type: string
+        - name: filter
+          in: query
+          description:
+            Filter by file status. One of `in_progress`, `completed`, `failed`,
+            `cancelled`.
+          schema:
+            type: string
+            enum:
+              - in_progress
+              - completed
+              - failed
+              - cancelled
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ListVectorStoreFilesResponse"
+      x-oaiMeta:
+        name: List vector store files
+        group: vector_stores
+        returns: A list of [vector store
+          file](/docs/api-reference/vector-stores-files/file-object) objects.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/vector_stores/vs_abc123/files \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -H "OpenAI-Beta: assistants=v2"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              vector_store_files = client.vector_stores.files.list(
+                vector_store_id="vs_abc123"
+              )
+              print(vector_store_files)
+            node.js: |
+              import OpenAI from "openai";
+              const openai = new OpenAI();
+
+              async function main() {
+                const vectorStoreFiles = await openai.vectorStores.files.list(
+                  "vs_abc123"
+                );
+                console.log(vectorStoreFiles);
+              }
+
+              main();
+          response: |
+            {
+              "object": "list",
+              "data": [
+                {
+                  "id": "file-abc123",
+                  "object": "vector_store.file",
+                  "created_at": 1699061776,
+                  "vector_store_id": "vs_abc123"
+                },
+                {
+                  "id": "file-abc456",
+                  "object": "vector_store.file",
+                  "created_at": 1699061776,
+                  "vector_store_id": "vs_abc123"
+                }
+              ],
+              "first_id": "file-abc123",
+              "last_id": "file-abc456",
+              "has_more": false
+            }
+    post:
+      operationId: createVectorStoreFile
+      tags:
+        - Vector stores
+      summary: Create a vector store file by attaching a
+        [File](/docs/api-reference/files) to a [vector
+        store](/docs/api-reference/vector-stores/object).
+      parameters:
+        - in: path
+          name: vector_store_id
+          required: true
+          schema:
+            type: string
+            example: vs_abc123
+          description: |
+            The ID of the vector store for which to create a File.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/CreateVectorStoreFileRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/VectorStoreFileObject"
+      x-oaiMeta:
+        name: Create vector store file
+        group: vector_stores
+        returns: A [vector store
+          file](/docs/api-reference/vector-stores-files/file-object) object.
+        examples:
+          request:
+            curl: |
+              curl https://api.openai.com/v1/vector_stores/vs_abc123/files \
+                  -H "Authorization: Bearer $OPENAI_API_KEY" \
+                  -H "Content-Type: application/json" \
+                  -H "OpenAI-Beta: assistants=v2" \
+                  -d '{
+                    "file_id": "file-abc123"
+                  }'
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              vector_store_file = client.vector_stores.files.create(
+                vector_store_id="vs_abc123",
+                file_id="file-abc123"
+              )
+              print(vector_store_file)
+            node.js: >
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+
+              async function main() {
+                const myVectorStoreFile = await openai.vectorStores.files.create(
+                  "vs_abc123",
+                  {
+                    file_id: "file-abc123"
+                  }
+                );
+                console.log(myVectorStoreFile);
+              }
+
+
+              main();
+          response: |
+            {
+              "id": "file-abc123",
+              "object": "vector_store.file",
+              "created_at": 1699061776,
+              "usage_bytes": 1234,
+              "vector_store_id": "vs_abcd",
+              "status": "completed",
+              "last_error": null
+            }
+  /vector_stores/{vector_store_id}/files/{file_id}:
+    get:
+      operationId: getVectorStoreFile
+      tags:
+        - Vector stores
+      summary: Retrieves a vector store file.
+      parameters:
+        - in: path
+          name: vector_store_id
+          required: true
+          schema:
+            type: string
+            example: vs_abc123
+          description: The ID of the vector store that the file belongs to.
+        - in: path
+          name: file_id
+          required: true
+          schema:
+            type: string
+            example: file-abc123
+          description: The ID of the file being retrieved.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/VectorStoreFileObject"
+      x-oaiMeta:
+        name: Retrieve vector store file
+        group: vector_stores
+        returns: The [vector store
+          file](/docs/api-reference/vector-stores-files/file-object) object.
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/vector_stores/vs_abc123/files/file-abc123
+              \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -H "OpenAI-Beta: assistants=v2"
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              vector_store_file = client.vector_stores.files.retrieve(
+                vector_store_id="vs_abc123",
+                file_id="file-abc123"
+              )
+              print(vector_store_file)
+            node.js: >
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+
+              async function main() {
+                const vectorStoreFile = await openai.vectorStores.files.retrieve(
+                  "vs_abc123",
+                  "file-abc123"
+                );
+                console.log(vectorStoreFile);
+              }
+
+
+              main();
+          response: |
+            {
+              "id": "file-abc123",
+              "object": "vector_store.file",
+              "created_at": 1699061776,
+              "vector_store_id": "vs_abcd",
+              "status": "completed",
+              "last_error": null
+            }
+    delete:
+      operationId: deleteVectorStoreFile
+      tags:
+        - Vector stores
+      summary:
+        Delete a vector store file. This will remove the file from the vector
+        store but the file itself will not be deleted. To delete the file, use
+        the [delete file](/docs/api-reference/files/delete) endpoint.
+      parameters:
+        - in: path
+          name: vector_store_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the vector store that the file belongs to.
+        - in: path
+          name: file_id
+          required: true
+          schema:
+            type: string
+          description: The ID of the file to delete.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/DeleteVectorStoreFileResponse"
+      x-oaiMeta:
+        name: Delete vector store file
+        group: vector_stores
+        returns: Deletion status
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/vector_stores/vs_abc123/files/file-abc123
+              \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -H "OpenAI-Beta: assistants=v2" \
+                -X DELETE
+            python: |
+              from openai import OpenAI
+              client = OpenAI()
+
+              deleted_vector_store_file = client.vector_stores.files.delete(
+                  vector_store_id="vs_abc123",
+                  file_id="file-abc123"
+              )
+              print(deleted_vector_store_file)
+            node.js: >
+              import OpenAI from "openai";
+
+              const openai = new OpenAI();
+
+
+              async function main() {
+                const deletedVectorStoreFile = await openai.vectorStores.files.del(
+                  "vs_abc123",
+                  "file-abc123"
+                );
+                console.log(deletedVectorStoreFile);
+              }
+
+
+              main();
+          response: |
+            {
+              id: "file-abc123",
+              object: "vector_store.file.deleted",
+              deleted: true
+            }
+    post:
+      operationId: updateVectorStoreFileAttributes
+      tags:
+        - Vector stores
+      summary: Update attributes on a vector store file.
+      parameters:
+        - in: path
+          name: vector_store_id
+          required: true
+          schema:
+            type: string
+            example: vs_abc123
+          description: The ID of the vector store the file belongs to.
+        - in: path
+          name: file_id
+          required: true
+          schema:
+            type: string
+            example: file-abc123
+          description: The ID of the file to update attributes.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/UpdateVectorStoreFileAttributesRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/VectorStoreFileObject"
+      x-oaiMeta:
+        name: Update vector store file attributes
+        group: vector_stores
+        returns: The updated [vector store
+          file](/docs/api-reference/vector-stores-files/file-object) object.
+        examples:
+          request:
+            curl: >
+              curl
+              https://api.openai.com/v1/vector_stores/{vector_store_id}/files/{file_id}
+              \
+                -H "Authorization: Bearer $OPENAI_API_KEY" \
+                -H "Content-Type: application/json" \
+                -d '{"attributes": {"key1": "value1", "key2": 2}}'
+          response: |
+            {
+              "id": "file-abc123",
+              "object": "vector_store.file",
+              "usage_bytes": 1234,
+              "created_at": 1699061776,
+              "vector_store_id": "vs_abcd",
+              "status": "completed",
+              "last_error": null,
+              "chunking_strategy": {...},
+              "attributes": {"key1": "value1", "key2": 2}
+            }
+  /vector_stores/{vector_store_id}/files/{file_id}/content:
+    get:
+      operationId: retrieveVectorStoreFileContent
+      tags:
+        - Vector stores
+      summary: Retrieve the parsed contents of a vector store file.
+      parameters:
+        - in: path
+          name: vector_store_id
+          required: true
+          schema:
+            type: string
+            example: vs_abc123
+          description: The ID of the vector store.
+        - in: path
+          name: file_id
+          required: true
+          schema:
+            type: string
+            example: file-abc123
+          description: The ID of the file within the vector store.
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/VectorStoreFileContentResponse"
+      x-oaiMeta:
+        name: Retrieve vector store file content
+        group: vector_stores
+        returns: The parsed contents of the specified vector store file.
+        examples:
+          request:
+            curl: >
+              curl \
+
+              https://api.openai.com/v1/vector_stores/vs_abc123/files/file-abc123/content
+              \
+
+              -H "Authorization: Bearer $OPENAI_API_KEY"
+          response: |
+            {
+              "file_id": "file-abc123",
+              "filename": "example.txt",
+              "attributes": {"key": "value"},
+              "content": [
+                {"type": "text", "text": "..."},
+                ...
+              ]
+            }
+  /vector_stores/{vector_store_id}/search:
+    post:
+      operationId: searchVectorStore
+      tags:
+        - Vector stores
+      summary:
+        Search a vector store for relevant chunks based on a query and file
+        attributes filter.
+      parameters:
+        - in: path
+          name: vector_store_id
+          required: true
+          schema:
+            type: string
+            example: vs_abc123
+          description: The ID of the vector store to search.
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/VectorStoreSearchRequest"
+      responses:
+        "200":
+          description: OK
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/VectorStoreSearchResultsPage"
+      x-oaiMeta:
+        name: Search vector store
+        group: vector_stores
+        returns: A page of search results from the vector store.
+        examples:
+          request:
+            curl: |
+              curl -X POST \
+              https://api.openai.com/v1/vector_stores/vs_abc123/search \
+              -H "Authorization: Bearer $OPENAI_API_KEY" \
+              -H "Content-Type: application/json" \
+              -d '{"query": "What is the return policy?", "filters": {...}}'
+          response: |
+            {
+              "object": "vector_store.search_results.page",
+              "search_query": "What is the return policy?",
+              "data": [
+                {
+                  "file_id": "file_123",
+                  "filename": "document.pdf",
+                  "score": 0.95,
+                  "attributes": {
+                    "author": "John Doe",
+                    "date": "2023-01-01"
+                  },
+                  "content": [
+                    {
+                      "type": "text",
+                      "text": "Relevant chunk"
+                    }
+                  ]
+                },
+                {
+                  "file_id": "file_456",
+                  "filename": "notes.txt",
+                  "score": 0.89,
+                  "attributes": {
+                    "author": "Jane Smith",
+                    "date": "2023-01-02"
+                  },
+                  "content": [
+                    {
+                      "type": "text",
+                      "text": "Sample text content from the vector store."
+                    }
+                  ]
+                }
+              ],
+              "has_more": false,
+              "next_page": null
+            }
+components:
+  schemas:
+    AddUploadPartRequest:
+      type: object
+      additionalProperties: false
+      properties:
+        data:
+          description: |
+            The chunk of bytes for this Part.
+          type: string
+          format: binary
+      required:
+        - data
+    AdminApiKey:
+      type: object
+      properties:
+        object:
+          type: string
+          example: organization.admin_api_key
+        id:
+          type: string
+          example: key_abc
+        name:
+          type: string
+          example: Administration Key
+        redacted_value:
+          type: string
+          example: sk-admin...def
+        value:
+          type: string
+          example: sk-admin-1234abcd
+        created_at:
+          type: integer
+          format: int64
+          example: 1711471533
+        owner:
+          type: object
+          properties:
+            type:
+              type: string
+              example: service_account
+            id:
+              type: string
+              example: sa_456
+            name:
+              type: string
+              example: My Service Account
+            created_at:
+              type: integer
+              format: int64
+              example: 1711471533
+            role:
+              type: string
+              example: member
+    Annotation:
+      oneOf:
+        - $ref: "#/components/schemas/FileCitation"
+        - $ref: "#/components/schemas/UrlCitation"
+        - $ref: "#/components/schemas/FilePath"
+    ApiKeyList:
+      type: object
+      properties:
+        object:
+          type: string
+          example: list
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/AdminApiKey"
+        has_more:
+          type: boolean
+          example: false
+        first_id:
+          type: string
+          example: key_abc
+        last_id:
+          type: string
+          example: key_xyz
+    AssistantObject:
+      type: object
+      title: Assistant
+      description: Represents an `assistant` that can call the model and use tools.
+      properties:
+        id:
+          description: The identifier, which can be referenced in API endpoints.
+          type: string
+        object:
+          description: The object type, which is always `assistant`.
+          type: string
+          enum:
+            - assistant
+          x-stainless-const: true
+        created_at:
+          description: The Unix timestamp (in seconds) for when the assistant was created.
+          type: integer
+        name:
+          description: |
+            The name of the assistant. The maximum length is 256 characters.
+          type: string
+          maxLength: 256
+          nullable: true
+        description:
+          description: >
+            The description of the assistant. The maximum length is 512
+            characters.
+          type: string
+          maxLength: 512
+          nullable: true
+        model:
+          description: >
+            ID of the model to use. You can use the [List
+            models](/docs/api-reference/models/list) API to see all of your
+            available models, or see our [Model overview](/docs/models) for
+            descriptions of them.
+          type: string
+        instructions:
+          description: >
+            The system instructions that the assistant uses. The maximum length
+            is 256,000 characters.
+          type: string
+          maxLength: 256000
+          nullable: true
+        tools:
+          description: >
+            A list of tool enabled on the assistant. There can be a maximum of
+            128 tools per assistant. Tools can be of types `code_interpreter`,
+            `file_search`, or `function`.
+          default: []
+          type: array
+          maxItems: 128
+          items:
+            oneOf:
+              - $ref: "#/components/schemas/AssistantToolsCode"
+              - $ref: "#/components/schemas/AssistantToolsFileSearch"
+              - $ref: "#/components/schemas/AssistantToolsFunction"
+            x-oaiExpandable: true
+        tool_resources:
+          type: object
+          description: >
+            A set of resources that are used by the assistant's tools. The
+            resources are specific to the type of tool. For example, the
+            `code_interpreter` tool requires a list of file IDs, while the
+            `file_search` tool requires a list of vector store IDs.
+          properties:
+            code_interpreter:
+              type: object
+              properties:
+                file_ids:
+                  type: array
+                  description: >
+                    A list of [file](/docs/api-reference/files) IDs made
+                    available to the `code_interpreter`` tool. There can be a
+                    maximum of 20 files associated with the tool.
+                  default: []
+                  maxItems: 20
+                  items:
+                    type: string
+            file_search:
+              type: object
+              properties:
+                vector_store_ids:
+                  type: array
+                  description: >
+                    The ID of the [vector
+                    store](/docs/api-reference/vector-stores/object) attached to
+                    this assistant. There can be a maximum of 1 vector store
+                    attached to the assistant.
+                  maxItems: 1
+                  items:
+                    type: string
+          nullable: true
+        metadata:
+          $ref: "#/components/schemas/Metadata"
+        temperature:
+          description: >
+            What sampling temperature to use, between 0 and 2. Higher values
+            like 0.8 will make the output more random, while lower values like
+            0.2 will make it more focused and deterministic.
+          type: number
+          minimum: 0
+          maximum: 2
+          default: 1
+          example: 1
+          nullable: true
+        top_p:
+          type: number
+          minimum: 0
+          maximum: 1
+          default: 1
+          example: 1
+          nullable: true
+          description: >
+            An alternative to sampling with temperature, called nucleus
+            sampling, where the model considers the results of the tokens with
+            top_p probability mass. So 0.1 means only the tokens comprising the
+            top 10% probability mass are considered.
+
+
+            We generally recommend altering this or temperature but not both.
+        response_format:
+          $ref: "#/components/schemas/AssistantsApiResponseFormatOption"
+          nullable: true
+      required:
+        - id
+        - object
+        - created_at
+        - name
+        - description
+        - model
+        - instructions
+        - tools
+        - metadata
+      x-oaiMeta:
+        name: The assistant object
+        beta: true
+        example: >
+          {
+            "id": "asst_abc123",
+            "object": "assistant",
+            "created_at": 1698984975,
+            "name": "Math Tutor",
+            "description": null,
+            "model": "gpt-4o",
+            "instructions": "You are a personal math tutor. When asked a question, write and run Python code to answer the question.",
+            "tools": [
+              {
+                "type": "code_interpreter"
+              }
+            ],
+            "metadata": {},
+            "top_p": 1.0,
+            "temperature": 1.0,
+            "response_format": "auto"
+          }
+    AssistantStreamEvent:
+      description: >
+        Represents an event emitted when streaming a Run.
+
+
+        Each event in a server-sent events stream has an `event` and `data`
+        property:
+
+
+        ```
+
+        event: thread.created
+
+        data: {"id": "thread_123", "object": "thread", ...}
+
+        ```
+
+
+        We emit events whenever a new object is created, transitions to a new
+        state, or is being
+
+        streamed in parts (deltas). For example, we emit `thread.run.created`
+        when a new run
+
+        is created, `thread.run.completed` when a run completes, and so on. When
+        an Assistant chooses
+
+        to create a message during a run, we emit a `thread.message.created
+        event`, a
+
+        `thread.message.in_progress` event, many `thread.message.delta` events,
+        and finally a
+
+        `thread.message.completed` event.
+
+
+        We may add additional events over time, so we recommend handling unknown
+        events gracefully
+
+        in your code. See the [Assistants API
+        quickstart](/docs/assistants/overview) to learn how to
+
+        integrate the Assistants API with streaming.
+      oneOf:
+        - $ref: "#/components/schemas/ThreadStreamEvent"
+        - $ref: "#/components/schemas/RunStreamEvent"
+        - $ref: "#/components/schemas/RunStepStreamEvent"
+        - $ref: "#/components/schemas/MessageStreamEvent"
+        - $ref: "#/components/schemas/ErrorEvent"
+        - $ref: "#/components/schemas/DoneEvent"
+      x-oaiMeta:
+        name: Assistant stream events
+        beta: true
+    AssistantSupportedModels:
+      type: string
+      enum:
+        - o3-mini
+        - o3-mini-2025-01-31
+        - o1
+        - o1-2024-12-17
+        - gpt-4o
+        - gpt-4o-2024-11-20
+        - gpt-4o-2024-08-06
+        - gpt-4o-2024-05-13
+        - gpt-4o-mini
+        - gpt-4o-mini-2024-07-18
+        - gpt-4.5-preview
+        - gpt-4.5-preview-2025-02-27
+        - gpt-4-turbo
+        - gpt-4-turbo-2024-04-09
+        - gpt-4-0125-preview
+        - gpt-4-turbo-preview
+        - gpt-4-1106-preview
+        - gpt-4-vision-preview
+        - gpt-4
+        - gpt-4-0314
+        - gpt-4-0613
+        - gpt-4-32k
+        - gpt-4-32k-0314
+        - gpt-4-32k-0613
+        - gpt-3.5-turbo
+        - gpt-3.5-turbo-16k
+        - gpt-3.5-turbo-0613
+        - gpt-3.5-turbo-1106
+        - gpt-3.5-turbo-0125
+        - gpt-3.5-turbo-16k-0613
+    AssistantToolsCode:
+      type: object
+      title: Code interpreter tool
+      properties:
+        type:
+          type: string
+          description: "The type of tool being defined: `code_interpreter`"
+          enum:
+            - code_interpreter
+          x-stainless-const: true
+      required:
+        - type
+    AssistantToolsFileSearch:
+      type: object
+      title: FileSearch tool
+      properties:
+        type:
+          type: string
+          description: "The type of tool being defined: `file_search`"
+          enum:
+            - file_search
+          x-stainless-const: true
+        file_search:
+          type: object
+          description: Overrides for the file search tool.
+          properties:
+            max_num_results:
+              type: integer
+              minimum: 1
+              maximum: 50
+              description: >
+                The maximum number of results the file search tool should
+                output. The default is 20 for `gpt-4*` models and 5 for
+                `gpt-3.5-turbo`. This number should be between 1 and 50
+                inclusive.
+
+
+                Note that the file search tool may output fewer than
+                `max_num_results` results. See the [file search tool
+                documentation](/docs/assistants/tools/file-search#customizing-file-search-settings)
+                for more information.
+            ranking_options:
+              $ref: "#/components/schemas/FileSearchRankingOptions"
+      required:
+        - type
+    AssistantToolsFileSearchTypeOnly:
+      type: object
+      title: FileSearch tool
+      properties:
+        type:
+          type: string
+          description: "The type of tool being defined: `file_search`"
+          enum:
+            - file_search
+          x-stainless-const: true
+      required:
+        - type
+    AssistantToolsFunction:
+      type: object
+      title: Function tool
+      properties:
+        type:
+          type: string
+          description: "The type of tool being defined: `function`"
+          enum:
+            - function
+          x-stainless-const: true
+        function:
+          $ref: "#/components/schemas/FunctionObject"
+      required:
+        - type
+        - function
+    AssistantsApiResponseFormatOption:
+      description: >
+        Specifies the format that the model must output. Compatible with
+        [GPT-4o](/docs/models#gpt-4o), [GPT-4
+        Turbo](/docs/models#gpt-4-turbo-and-gpt-4), and all GPT-3.5 Turbo models
+        since `gpt-3.5-turbo-1106`.
+
+
+        Setting to `{ "type": "json_schema", "json_schema": {...} }` enables
+        Structured Outputs which ensures the model will match your supplied JSON
+        schema. Learn more in the [Structured Outputs
+        guide](/docs/guides/structured-outputs).
+
+
+        Setting to `{ "type": "json_object" }` enables JSON mode, which ensures
+        the message the model generates is valid JSON.
+
+
+        **Important:** when using JSON mode, you **must** also instruct the
+        model to produce JSON yourself via a system or user message. Without
+        this, the model may generate an unending stream of whitespace until the
+        generation reaches the token limit, resulting in a long-running and
+        seemingly "stuck" request. Also note that the message content may be
+        partially cut off if `finish_reason="length"`, which indicates the
+        generation exceeded `max_tokens` or the conversation exceeded the max
+        context length.
+      oneOf:
+        - type: string
+          description: |
+            `auto` is the default value
+          enum:
+            - auto
+          x-stainless-const: true
+        - $ref: "#/components/schemas/ResponseFormatText"
+        - $ref: "#/components/schemas/ResponseFormatJsonObject"
+        - $ref: "#/components/schemas/ResponseFormatJsonSchema"
+      x-oaiExpandable: true
+    AssistantsApiToolChoiceOption:
+      description: >
+        Controls which (if any) tool is called by the model.
+
+        `none` means the model will not call any tools and instead generates a
+        message.
+
+        `auto` is the default value and means the model can pick between
+        generating a message or calling one or more tools.
+
+        `required` means the model must call one or more tools before responding
+        to the user.
+
+        Specifying a particular tool like `{"type": "file_search"}` or `{"type":
+        "function", "function": {"name": "my_function"}}` forces the model to
+        call that tool.
+      oneOf:
+        - type: string
+          description: >
+            `none` means the model will not call any tools and instead generates
+            a message. `auto` means the model can pick between generating a
+            message or calling one or more tools. `required` means the model
+            must call one or more tools before responding to the user.
+          enum:
+            - none
+            - auto
+            - required
+        - $ref: "#/components/schemas/AssistantsNamedToolChoice"
+      x-oaiExpandable: true
+    AssistantsNamedToolChoice:
+      type: object
+      description:
+        Specifies a tool the model should use. Use to force the model to
+        call a specific tool.
+      properties:
+        type:
+          type: string
+          enum:
+            - function
+            - code_interpreter
+            - file_search
+          description:
+            The type of the tool. If type is `function`, the function name must
+            be set
+        function:
+          type: object
+          properties:
+            name:
+              type: string
+              description: The name of the function to call.
+          required:
+            - name
+      required:
+        - type
+    AudioResponseFormat:
+      description: >
+        The format of the output, in one of these options: `json`, `text`,
+        `srt`, `verbose_json`, or `vtt`. For `gpt-4o-transcribe` and
+        `gpt-4o-mini-transcribe`, the only supported format is `json`.
+      type: string
+      enum:
+        - json
+        - text
+        - srt
+        - verbose_json
+        - vtt
+      default: json
+    AuditLog:
+      type: object
+      description: A log of a user action or configuration change within this organization.
+      properties:
+        id:
+          type: string
+          description: The ID of this log.
+        type:
+          $ref: "#/components/schemas/AuditLogEventType"
+        effective_at:
+          type: integer
+          description: The Unix timestamp (in seconds) of the event.
+        project:
+          type: object
+          description:
+            The project that the action was scoped to. Absent for actions not
+            scoped to projects.
+          properties:
+            id:
+              type: string
+              description: The project ID.
+            name:
+              type: string
+              description: The project title.
+        actor:
+          $ref: "#/components/schemas/AuditLogActor"
+        api_key.created:
+          type: object
+          description: The details for events with this `type`.
+          properties:
+            id:
+              type: string
+              description: The tracking ID of the API key.
+            data:
+              type: object
+              description: The payload used to create the API key.
+              properties:
+                scopes:
+                  type: array
+                  items:
+                    type: string
+                  description: A list of scopes allowed for the API key, e.g.
+                    `["api.model.request"]`
+        api_key.updated:
+          type: object
+          description: The details for events with this `type`.
+          properties:
+            id:
+              type: string
+              description: The tracking ID of the API key.
+            changes_requested:
+              type: object
+              description: The payload used to update the API key.
+              properties:
+                scopes:
+                  type: array
+                  items:
+                    type: string
+                  description: A list of scopes allowed for the API key, e.g.
+                    `["api.model.request"]`
+        api_key.deleted:
+          type: object
+          description: The details for events with this `type`.
+          properties:
+            id:
+              type: string
+              description: The tracking ID of the API key.
+        invite.sent:
+          type: object
+          description: The details for events with this `type`.
+          properties:
+            id:
+              type: string
+              description: The ID of the invite.
+            data:
+              type: object
+              description: The payload used to create the invite.
+              properties:
+                email:
+                  type: string
+                  description: The email invited to the organization.
+                role:
+                  type: string
+                  description:
+                    The role the email was invited to be. Is either `owner` or
+                    `member`.
+        invite.accepted:
+          type: object
+          description: The details for events with this `type`.
+          properties:
+            id:
+              type: string
+              description: The ID of the invite.
+        invite.deleted:
+          type: object
+          description: The details for events with this `type`.
+          properties:
+            id:
+              type: string
+              description: The ID of the invite.
+        login.failed:
+          type: object
+          description: The details for events with this `type`.
+          properties:
+            error_code:
+              type: string
+              description: The error code of the failure.
+            error_message:
+              type: string
+              description: The error message of the failure.
+        logout.failed:
+          type: object
+          description: The details for events with this `type`.
+          properties:
+            error_code:
+              type: string
+              description: The error code of the failure.
+            error_message:
+              type: string
+              description: The error message of the failure.
+        organization.updated:
+          type: object
+          description: The details for events with this `type`.
+          properties:
+            id:
+              type: string
+              description: The organization ID.
+            changes_requested:
+              type: object
+              description: The payload used to update the organization settings.
+              properties:
+                title:
+                  type: string
+                  description: The organization title.
+                description:
+                  type: string
+                  description: The organization description.
+                name:
+                  type: string
+                  description: The organization name.
+                settings:
+                  type: object
+                  properties:
+                    threads_ui_visibility:
+                      type: string
+                      description:
+                        Visibility of the threads page which shows messages created with
+                        the Assistants API and Playground. One of `ANY_ROLE`,
+                        `OWNERS`, or `NONE`.
+                    usage_dashboard_visibility:
+                      type: string
+                      description:
+                        Visibility of the usage dashboard which shows activity and costs
+                        for your organization. One of `ANY_ROLE` or `OWNERS`.
+        project.created:
+          type: object
+          description: The details for events with this `type`.
+          properties:
+            id:
+              type: string
+              description: The project ID.
+            data:
+              type: object
+              description: The payload used to create the project.
+              properties:
+                name:
+                  type: string
+                  description: The project name.
+                title:
+                  type: string
+                  description: The title of the project as seen on the dashboard.
+        project.updated:
+          type: object
+          description: The details for events with this `type`.
+          properties:
+            id:
+              type: string
+              description: The project ID.
+            changes_requested:
+              type: object
+              description: The payload used to update the project.
+              properties:
+                title:
+                  type: string
+                  description: The title of the project as seen on the dashboard.
+        project.archived:
+          type: object
+          description: The details for events with this `type`.
+          properties:
+            id:
+              type: string
+              description: The project ID.
+        rate_limit.updated:
+          type: object
+          description: The details for events with this `type`.
+          properties:
+            id:
+              type: string
+              description: The rate limit ID
+            changes_requested:
+              type: object
+              description: The payload used to update the rate limits.
+              properties:
+                max_requests_per_1_minute:
+                  type: integer
+                  description: The maximum requests per minute.
+                max_tokens_per_1_minute:
+                  type: integer
+                  description: The maximum tokens per minute.
+                max_images_per_1_minute:
+                  type: integer
+                  description: The maximum images per minute. Only relevant for certain models.
+                max_audio_megabytes_per_1_minute:
+                  type: integer
+                  description:
+                    The maximum audio megabytes per minute. Only relevant for certain
+                    models.
+                max_requests_per_1_day:
+                  type: integer
+                  description: The maximum requests per day. Only relevant for certain models.
+                batch_1_day_max_input_tokens:
+                  type: integer
+                  description:
+                    The maximum batch input tokens per day. Only relevant for certain
+                    models.
+        rate_limit.deleted:
+          type: object
+          description: The details for events with this `type`.
+          properties:
+            id:
+              type: string
+              description: The rate limit ID
+        service_account.created:
+          type: object
+          description: The details for events with this `type`.
+          properties:
+            id:
+              type: string
+              description: The service account ID.
+            data:
+              type: object
+              description: The payload used to create the service account.
+              properties:
+                role:
+                  type: string
+                  description: The role of the service account. Is either `owner` or `member`.
+        service_account.updated:
+          type: object
+          description: The details for events with this `type`.
+          properties:
+            id:
+              type: string
+              description: The service account ID.
+            changes_requested:
+              type: object
+              description: The payload used to updated the service account.
+              properties:
+                role:
+                  type: string
+                  description: The role of the service account. Is either `owner` or `member`.
+        service_account.deleted:
+          type: object
+          description: The details for events with this `type`.
+          properties:
+            id:
+              type: string
+              description: The service account ID.
+        user.added:
+          type: object
+          description: The details for events with this `type`.
+          properties:
+            id:
+              type: string
+              description: The user ID.
+            data:
+              type: object
+              description: The payload used to add the user to the project.
+              properties:
+                role:
+                  type: string
+                  description: The role of the user. Is either `owner` or `member`.
+        user.updated:
+          type: object
+          description: The details for events with this `type`.
+          properties:
+            id:
+              type: string
+              description: The project ID.
+            changes_requested:
+              type: object
+              description: The payload used to update the user.
+              properties:
+                role:
+                  type: string
+                  description: The role of the user. Is either `owner` or `member`.
+        user.deleted:
+          type: object
+          description: The details for events with this `type`.
+          properties:
+            id:
+              type: string
+              description: The user ID.
+      required:
+        - id
+        - type
+        - effective_at
+        - actor
+      x-oaiMeta:
+        name: The audit log object
+        example: >
+          {
+              "id": "req_xxx_20240101",
+              "type": "api_key.created",
+              "effective_at": 1720804090,
+              "actor": {
+                  "type": "session",
+                  "session": {
+                      "user": {
+                          "id": "user-xxx",
+                          "email": "user@example.com"
+                      },
+                      "ip_address": "127.0.0.1",
+                      "user_agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36"
+                  }
+              },
+              "api_key.created": {
+                  "id": "key_xxxx",
+                  "data": {
+                      "scopes": ["resource.operation"]
+                  }
+              }
+          }
+    AuditLogActor:
+      type: object
+      description: The actor who performed the audit logged action.
+      properties:
+        type:
+          type: string
+          description: The type of actor. Is either `session` or `api_key`.
+          enum:
+            - session
+            - api_key
+        session:
+          $ref: "#/components/schemas/AuditLogActorSession"
+        api_key:
+          $ref: "#/components/schemas/AuditLogActorApiKey"
+    AuditLogActorApiKey:
+      type: object
+      description: The API Key used to perform the audit logged action.
+      properties:
+        id:
+          type: string
+          description: The tracking id of the API key.
+        type:
+          type: string
+          description: The type of API key. Can be either `user` or `service_account`.
+          enum:
+            - user
+            - service_account
+        user:
+          $ref: "#/components/schemas/AuditLogActorUser"
+        service_account:
+          $ref: "#/components/schemas/AuditLogActorServiceAccount"
+    AuditLogActorServiceAccount:
+      type: object
+      description: The service account that performed the audit logged action.
+      properties:
+        id:
+          type: string
+          description: The service account id.
+    AuditLogActorSession:
+      type: object
+      description: The session in which the audit logged action was performed.
+      properties:
+        user:
+          $ref: "#/components/schemas/AuditLogActorUser"
+        ip_address:
+          type: string
+          description: The IP address from which the action was performed.
+    AuditLogActorUser:
+      type: object
+      description: The user who performed the audit logged action.
+      properties:
+        id:
+          type: string
+          description: The user id.
+        email:
+          type: string
+          description: The user email.
+    AuditLogEventType:
+      type: string
+      description: The event type.
+      x-oaiExpandable: true
+      enum:
+        - api_key.created
+        - api_key.updated
+        - api_key.deleted
+        - invite.sent
+        - invite.accepted
+        - invite.deleted
+        - login.succeeded
+        - login.failed
+        - logout.succeeded
+        - logout.failed
+        - organization.updated
+        - project.created
+        - project.updated
+        - project.archived
+        - service_account.created
+        - service_account.updated
+        - service_account.deleted
+        - rate_limit.updated
+        - rate_limit.deleted
+        - user.added
+        - user.updated
+        - user.deleted
+    AutoChunkingStrategyRequestParam:
+      type: object
+      title: Auto Chunking Strategy
+      description: The default strategy. This strategy currently uses a
+        `max_chunk_size_tokens` of `800` and `chunk_overlap_tokens` of `400`.
+      additionalProperties: false
+      properties:
+        type:
+          type: string
+          description: Always `auto`.
+          enum:
+            - auto
+          x-stainless-const: true
+      required:
+        - type
+    Batch:
+      type: object
+      properties:
+        id:
+          type: string
+        object:
+          type: string
+          enum:
+            - batch
+          description: The object type, which is always `batch`.
+          x-stainless-const: true
+        endpoint:
+          type: string
+          description: The OpenAI API endpoint used by the batch.
+        errors:
+          type: object
+          properties:
+            object:
+              type: string
+              description: The object type, which is always `list`.
+            data:
+              type: array
+              items:
+                type: object
+                properties:
+                  code:
+                    type: string
+                    description: An error code identifying the error type.
+                  message:
+                    type: string
+                    description: A human-readable message providing more details about the error.
+                  param:
+                    type: string
+                    description: The name of the parameter that caused the error, if applicable.
+                    nullable: true
+                  line:
+                    type: integer
+                    description:
+                      The line number of the input file where the error occurred, if
+                      applicable.
+                    nullable: true
+        input_file_id:
+          type: string
+          description: The ID of the input file for the batch.
+        completion_window:
+          type: string
+          description: The time frame within which the batch should be processed.
+        status:
+          type: string
+          description: The current status of the batch.
+          enum:
+            - validating
+            - failed
+            - in_progress
+            - finalizing
+            - completed
+            - expired
+            - cancelling
+            - cancelled
+        output_file_id:
+          type: string
+          description:
+            The ID of the file containing the outputs of successfully executed
+            requests.
+        error_file_id:
+          type: string
+          description: The ID of the file containing the outputs of requests with errors.
+        created_at:
+          type: integer
+          description: The Unix timestamp (in seconds) for when the batch was created.
+        in_progress_at:
+          type: integer
+          description:
+            The Unix timestamp (in seconds) for when the batch started
+            processing.
+        expires_at:
+          type: integer
+          description: The Unix timestamp (in seconds) for when the batch will expire.
+        finalizing_at:
+          type: integer
+          description:
+            The Unix timestamp (in seconds) for when the batch started
+            finalizing.
+        completed_at:
+          type: integer
+          description: The Unix timestamp (in seconds) for when the batch was completed.
+        failed_at:
+          type: integer
+          description: The Unix timestamp (in seconds) for when the batch failed.
+        expired_at:
+          type: integer
+          description: The Unix timestamp (in seconds) for when the batch expired.
+        cancelling_at:
+          type: integer
+          description:
+            The Unix timestamp (in seconds) for when the batch started
+            cancelling.
+        cancelled_at:
+          type: integer
+          description: The Unix timestamp (in seconds) for when the batch was cancelled.
+        request_counts:
+          type: object
+          properties:
+            total:
+              type: integer
+              description: Total number of requests in the batch.
+            completed:
+              type: integer
+              description: Number of requests that have been completed successfully.
+            failed:
+              type: integer
+              description: Number of requests that have failed.
+          required:
+            - total
+            - completed
+            - failed
+          description: The request counts for different statuses within the batch.
+        metadata:
+          $ref: "#/components/schemas/Metadata"
+      required:
+        - id
+        - object
+        - endpoint
+        - input_file_id
+        - completion_window
+        - status
+        - created_at
+      x-oaiMeta:
+        name: The batch object
+        example: |
+          {
+            "id": "batch_abc123",
+            "object": "batch",
+            "endpoint": "/v1/completions",
+            "errors": null,
+            "input_file_id": "file-abc123",
+            "completion_window": "24h",
+            "status": "completed",
+            "output_file_id": "file-cvaTdG",
+            "error_file_id": "file-HOWS94",
+            "created_at": 1711471533,
+            "in_progress_at": 1711471538,
+            "expires_at": 1711557933,
+            "finalizing_at": 1711493133,
+            "completed_at": 1711493163,
+            "failed_at": null,
+            "expired_at": null,
+            "cancelling_at": null,
+            "cancelled_at": null,
+            "request_counts": {
+              "total": 100,
+              "completed": 95,
+              "failed": 5
+            },
+            "metadata": {
+              "customer_id": "user_123456789",
+              "batch_description": "Nightly eval job",
+            }
+          }
+    BatchRequestInput:
+      type: object
+      description: The per-line object of the batch input file
+      properties:
+        custom_id:
+          type: string
+          description:
+            A developer-provided per-request id that will be used to match
+            outputs to inputs. Must be unique for each request in a batch.
+        method:
+          type: string
+          enum:
+            - POST
+          description:
+            The HTTP method to be used for the request. Currently only `POST`
+            is supported.
+          x-stainless-const: true
+        url:
+          type: string
+          description:
+            The OpenAI API relative URL to be used for the request. Currently
+            `/v1/chat/completions`, `/v1/embeddings`, and `/v1/completions` are
+            supported.
+      x-oaiMeta:
+        name: The request input object
+        example: >
+          {"custom_id": "request-1", "method": "POST", "url":
+          "/v1/chat/completions", "body": {"model": "gpt-4o-mini", "messages":
+          [{"role": "system", "content": "You are a helpful assistant."},
+          {"role": "user", "content": "What is 2+2?"}]}}
+    BatchRequestOutput:
+      type: object
+      description: The per-line object of the batch output and error files
+      properties:
+        id:
+          type: string
+        custom_id:
+          type: string
+          description:
+            A developer-provided per-request id that will be used to match
+            outputs to inputs.
+        response:
+          type: object
+          nullable: true
+          properties:
+            status_code:
+              type: integer
+              description: The HTTP status code of the response
+            request_id:
+              type: string
+              description:
+                An unique identifier for the OpenAI API request. Please include
+                this request ID when contacting support.
+            body:
+              type: object
+              x-oaiTypeLabel: map
+              description: The JSON body of the response
+        error:
+          type: object
+          nullable: true
+          description:
+            For requests that failed with a non-HTTP error, this will contain
+            more information on the cause of the failure.
+          properties:
+            code:
+              type: string
+              description: A machine-readable error code.
+            message:
+              type: string
+              description: A human-readable error message.
+      x-oaiMeta:
+        name: The request output object
+        example: >
+          {"id": "batch_req_wnaDys", "custom_id": "request-2", "response":
+          {"status_code": 200, "request_id": "req_c187b3", "body": {"id":
+          "chatcmpl-9758Iw", "object": "chat.completion", "created": 1711475054,
+          "model": "gpt-4o-mini", "choices": [{"index": 0, "message": {"role":
+          "assistant", "content": "2 + 2 equals 4."}, "finish_reason": "stop"}],
+          "usage": {"prompt_tokens": 24, "completion_tokens": 15,
+          "total_tokens": 39}, "system_fingerprint": null}}, "error": null}
+    CancelUploadRequest:
+      type: object
+      additionalProperties: false
+    ChatCompletionDeleted:
+      type: object
+      properties:
+        object:
+          type: string
+          description: The type of object being deleted.
+          enum:
+            - chat.completion.deleted
+          x-stainless-const: true
+        id:
+          type: string
+          description: The ID of the chat completion that was deleted.
+        deleted:
+          type: boolean
+          description: Whether the chat completion was deleted.
+      required:
+        - object
+        - id
+        - deleted
+    ChatCompletionFunctionCallOption:
+      type: object
+      description: >
+        Specifying a particular function via `{"name": "my_function"}` forces
+        the model to call that function.
+      properties:
+        name:
+          type: string
+          description: The name of the function to call.
+      required:
+        - name
+    ChatCompletionFunctions:
+      type: object
+      deprecated: true
+      properties:
+        description:
+          type: string
+          description:
+            A description of what the function does, used by the model to
+            choose when and how to call the function.
+        name:
+          type: string
+          description:
+            The name of the function to be called. Must be a-z, A-Z, 0-9, or
+            contain underscores and dashes, with a maximum length of 64.
+        parameters:
+          $ref: "#/components/schemas/FunctionParameters"
+      required:
+        - name
+    ChatCompletionList:
+      type: object
+      title: ChatCompletionList
+      description: |
+        An object representing a list of Chat Completions.
+      properties:
+        object:
+          type: string
+          enum:
+            - list
+          default: list
+          description: |
+            The type of this object. It is always set to "list".
+          x-stainless-const: true
+        data:
+          type: array
+          description: |
+            An array of chat completion objects.
+          items:
+            $ref: "#/components/schemas/CreateChatCompletionResponse"
+        first_id:
+          type: string
+          description: The identifier of the first chat completion in the data array.
+        last_id:
+          type: string
+          description: The identifier of the last chat completion in the data array.
+        has_more:
+          type: boolean
+          description: Indicates whether there are more Chat Completions available.
+      required:
+        - object
+        - data
+        - first_id
+        - last_id
+        - has_more
+      x-oaiMeta:
+        name: The chat completion list object
+        group: chat
+        example: >
+          {
+            "object": "list",
+            "data": [
+              {
+                "object": "chat.completion",
+                "id": "chatcmpl-AyPNinnUqUDYo9SAdA52NobMflmj2",
+                "model": "gpt-4o-2024-08-06",
+                "created": 1738960610,
+                "request_id": "req_ded8ab984ec4bf840f37566c1011c417",
+                "tool_choice": null,
+                "usage": {
+                  "total_tokens": 31,
+                  "completion_tokens": 18,
+                  "prompt_tokens": 13
+                },
+                "seed": 4944116822809979520,
+                "top_p": 1.0,
+                "temperature": 1.0,
+                "presence_penalty": 0.0,
+                "frequency_penalty": 0.0,
+                "system_fingerprint": "fp_50cad350e4",
+                "input_user": null,
+                "service_tier": "default",
+                "tools": null,
+                "metadata": {},
+                "choices": [
+                  {
+                    "index": 0,
+                    "message": {
+                      "content": "Mind of circuits hum,  \nLearning patterns in silence—  \nFuture's quiet spark.",
+                      "role": "assistant",
+                      "tool_calls": null,
+                      "function_call": null
+                    },
+                    "finish_reason": "stop",
+                    "logprobs": null
+                  }
+                ],
+                "response_format": null
+              }
+            ],
+            "first_id": "chatcmpl-AyPNinnUqUDYo9SAdA52NobMflmj2",
+            "last_id": "chatcmpl-AyPNinnUqUDYo9SAdA52NobMflmj2",
+            "has_more": false
+          }
+    ChatCompletionMessageList:
+      type: object
+      title: ChatCompletionMessageList
+      description: |
+        An object representing a list of chat completion messages.
+      properties:
+        object:
+          type: string
+          enum:
+            - list
+          default: list
+          description: |
+            The type of this object. It is always set to "list".
+          x-stainless-const: true
+        data:
+          type: array
+          description: |
+            An array of chat completion message objects.
+          items:
+            allOf:
+              - $ref: "#/components/schemas/ChatCompletionResponseMessage"
+              - type: object
+                required:
+                  - id
+                properties:
+                  id:
+                    type: string
+                    description: The identifier of the chat message.
+        first_id:
+          type: string
+          description: The identifier of the first chat message in the data array.
+        last_id:
+          type: string
+          description: The identifier of the last chat message in the data array.
+        has_more:
+          type: boolean
+          description: Indicates whether there are more chat messages available.
+      required:
+        - object
+        - data
+        - first_id
+        - last_id
+        - has_more
+      x-oaiMeta:
+        name: The chat completion message list object
+        group: chat
+        example: |
+          {
+            "object": "list",
+            "data": [
+              {
+                "id": "chatcmpl-AyPNinnUqUDYo9SAdA52NobMflmj2-0",
+                "role": "user",
+                "content": "write a haiku about ai",
+                "name": null,
+                "content_parts": null
+              }
+            ],
+            "first_id": "chatcmpl-AyPNinnUqUDYo9SAdA52NobMflmj2-0",
+            "last_id": "chatcmpl-AyPNinnUqUDYo9SAdA52NobMflmj2-0",
+            "has_more": false
+          }
+    ChatCompletionMessageToolCall:
+      type: object
+      properties:
+        id:
+          type: string
+          description: The ID of the tool call.
+        type:
+          type: string
+          enum:
+            - function
+          description: The type of the tool. Currently, only `function` is supported.
+          x-stainless-const: true
+        function:
+          type: object
+          description: The function that the model called.
+          properties:
+            name:
+              type: string
+              description: The name of the function to call.
+            arguments:
+              type: string
+              description:
+                The arguments to call the function with, as generated by the model
+                in JSON format. Note that the model does not always generate
+                valid JSON, and may hallucinate parameters not defined by your
+                function schema. Validate the arguments in your code before
+                calling your function.
+          required:
+            - name
+            - arguments
+      required:
+        - id
+        - type
+        - function
+    ChatCompletionMessageToolCallChunk:
+      type: object
+      properties:
+        index:
+          type: integer
+        id:
+          type: string
+          description: The ID of the tool call.
+        type:
+          type: string
+          enum:
+            - function
+          description: The type of the tool. Currently, only `function` is supported.
+          x-stainless-const: true
+        function:
+          type: object
+          properties:
+            name:
+              type: string
+              description: The name of the function to call.
+            arguments:
+              type: string
+              description:
+                The arguments to call the function with, as generated by the model
+                in JSON format. Note that the model does not always generate
+                valid JSON, and may hallucinate parameters not defined by your
+                function schema. Validate the arguments in your code before
+                calling your function.
+      required:
+        - index
+    ChatCompletionMessageToolCalls:
+      type: array
+      description: The tool calls generated by the model, such as function calls.
+      items:
+        $ref: "#/components/schemas/ChatCompletionMessageToolCall"
+    ChatCompletionModalities:
+      type: array
+      nullable: true
+      description: >
+        Output types that you would like the model to generate for this request.
+
+        Most models are capable of generating text, which is the default:
+
+
+        `["text"]`
+
+
+        The `gpt-4o-audio-preview` model can also be used to [generate
+        audio](/docs/guides/audio). To
+
+        request that this model generate both text and audio responses, you can
+
+        use:
+
+
+        `["text", "audio"]`
+      items:
+        type: string
+        enum:
+          - text
+          - audio
+    ChatCompletionNamedToolChoice:
+      type: object
+      description:
+        Specifies a tool the model should use. Use to force the model to
+        call a specific function.
+      properties:
+        type:
+          type: string
+          enum:
+            - function
+          description: The type of the tool. Currently, only `function` is supported.
+          x-stainless-const: true
+        function:
+          type: object
+          properties:
+            name:
+              type: string
+              description: The name of the function to call.
+          required:
+            - name
+      required:
+        - type
+        - function
+    ChatCompletionRequestAssistantMessage:
+      type: object
+      title: Assistant message
+      description: |
+        Messages sent by the model in response to user messages.
+      properties:
+        content:
+          x-oaiExpandable: true
+          nullable: true
+          oneOf:
+            - type: string
+              description: The contents of the assistant message.
+              title: Text content
+            - type: array
+              description:
+                An array of content parts with a defined type. Can be one or more
+                of type `text`, or exactly one of type `refusal`.
+              title: Array of content parts
+              items:
+                $ref: "#/components/schemas/ChatCompletionRequestAssistantMessageContentPart"
+              minItems: 1
+          description: >
+            The contents of the assistant message. Required unless `tool_calls`
+            or `function_call` is specified.
+        refusal:
+          nullable: true
+          type: string
+          description: The refusal message by the assistant.
+        role:
+          type: string
+          enum:
+            - assistant
+          description: The role of the messages author, in this case `assistant`.
+          x-stainless-const: true
+        name:
+          type: string
+          description: An optional name for the participant. Provides the model
+            information to differentiate between participants of the same role.
+        audio:
+          type: object
+          nullable: true
+          x-oaiExpandable: true
+          description: |
+            Data about a previous audio response from the model. 
+            [Learn more](/docs/guides/audio).
+          required:
+            - id
+          properties:
+            id:
+              type: string
+              description: |
+                Unique identifier for a previous audio response from the model.
+        tool_calls:
+          $ref: "#/components/schemas/ChatCompletionMessageToolCalls"
+        function_call:
+          type: object
+          deprecated: true
+          description:
+            Deprecated and replaced by `tool_calls`. The name and arguments of
+            a function that should be called, as generated by the model.
+          nullable: true
+          properties:
+            arguments:
+              type: string
+              description:
+                The arguments to call the function with, as generated by the model
+                in JSON format. Note that the model does not always generate
+                valid JSON, and may hallucinate parameters not defined by your
+                function schema. Validate the arguments in your code before
+                calling your function.
+            name:
+              type: string
+              description: The name of the function to call.
+          required:
+            - arguments
+            - name
+      required:
+        - role
+    ChatCompletionRequestAssistantMessageContentPart:
+      oneOf:
+        - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartText"
+        - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartRefusal"
+      x-oaiExpandable: true
+    ChatCompletionRequestDeveloperMessage:
+      type: object
+      title: Developer message
+      description: >
+        Developer-provided instructions that the model should follow, regardless
+        of
+
+        messages sent by the user. With o1 models and newer, `developer`
+        messages
+
+        replace the previous `system` messages.
+      properties:
+        content:
+          description: The contents of the developer message.
+          oneOf:
+            - type: string
+              description: The contents of the developer message.
+              title: Text content
+            - type: array
+              description:
+                An array of content parts with a defined type. For developer
+                messages, only type `text` is supported.
+              title: Array of content parts
+              items:
+                $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartText"
+              minItems: 1
+        role:
+          type: string
+          enum:
+            - developer
+          description: The role of the messages author, in this case `developer`.
+          x-stainless-const: true
+        name:
+          type: string
+          description: An optional name for the participant. Provides the model
+            information to differentiate between participants of the same role.
+      required:
+        - content
+        - role
+    ChatCompletionRequestFunctionMessage:
+      type: object
+      title: Function message
+      deprecated: true
+      properties:
+        role:
+          type: string
+          enum:
+            - function
+          description: The role of the messages author, in this case `function`.
+          x-stainless-const: true
+        content:
+          nullable: true
+          type: string
+          description: The contents of the function message.
+        name:
+          type: string
+          description: The name of the function to call.
+      required:
+        - role
+        - content
+        - name
+    ChatCompletionRequestMessage:
+      oneOf:
+        - $ref: "#/components/schemas/ChatCompletionRequestDeveloperMessage"
+        - $ref: "#/components/schemas/ChatCompletionRequestSystemMessage"
+        - $ref: "#/components/schemas/ChatCompletionRequestUserMessage"
+        - $ref: "#/components/schemas/ChatCompletionRequestAssistantMessage"
+        - $ref: "#/components/schemas/ChatCompletionRequestToolMessage"
+        - $ref: "#/components/schemas/ChatCompletionRequestFunctionMessage"
+      x-oaiExpandable: true
+    ChatCompletionRequestMessageContentPartAudio:
+      type: object
+      title: Audio content part
+      description: |
+        Learn about [audio inputs](/docs/guides/audio).
+      properties:
+        type:
+          type: string
+          enum:
+            - input_audio
+          description: The type of the content part. Always `input_audio`.
+          x-stainless-const: true
+        input_audio:
+          type: object
+          properties:
+            data:
+              type: string
+              description: Base64 encoded audio data.
+            format:
+              type: string
+              enum:
+                - wav
+                - mp3
+              description: >
+                The format of the encoded audio data. Currently supports "wav"
+                and "mp3".
+          required:
+            - data
+            - format
+      required:
+        - type
+        - input_audio
+    ChatCompletionRequestMessageContentPartFile:
+      type: object
+      title: File content part
+      description: |
+        Learn about [file inputs](/docs/guides/text) for text generation.
+      properties:
+        type:
+          type: string
+          enum:
+            - file
+          description: The type of the content part. Always `file`.
+          x-stainless-const: true
+        file:
+          type: object
+          properties:
+            filename:
+              type: string
+              description: >
+                The name of the file, used when passing the file to the model as
+                a 
+
+                string.
+            file_data:
+              type: string
+              description: >
+                The base64 encoded file data, used when passing the file to the
+                model 
+
+                as a string.
+            file_id:
+              type: string
+              description: |
+                The ID of an uploaded file to use as input.
+      required:
+        - type
+        - file
+    ChatCompletionRequestMessageContentPartImage:
+      type: object
+      title: Image content part
+      description: |
+        Learn about [image inputs](/docs/guides/vision).
+      properties:
+        type:
+          type: string
+          enum:
+            - image_url
+          description: The type of the content part.
+          x-stainless-const: true
+        image_url:
+          type: object
+          properties:
+            url:
+              type: string
+              description: Either a URL of the image or the base64 encoded image data.
+              format: uri
+            detail:
+              type: string
+              description:
+                Specifies the detail level of the image. Learn more in the [Vision
+                guide](/docs/guides/vision#low-or-high-fidelity-image-understanding).
+              enum:
+                - auto
+                - low
+                - high
+              default: auto
+          required:
+            - url
+      required:
+        - type
+        - image_url
+    ChatCompletionRequestMessageContentPartRefusal:
+      type: object
+      title: Refusal content part
+      properties:
+        type:
+          type: string
+          enum:
+            - refusal
+          description: The type of the content part.
+          x-stainless-const: true
+        refusal:
+          type: string
+          description: The refusal message generated by the model.
+      required:
+        - type
+        - refusal
+    ChatCompletionRequestMessageContentPartText:
+      type: object
+      title: Text content part
+      description: |
+        Learn about [text inputs](/docs/guides/text-generation).
+      properties:
+        type:
+          type: string
+          enum:
+            - text
+          description: The type of the content part.
+          x-stainless-const: true
+        text:
+          type: string
+          description: The text content.
+      required:
+        - type
+        - text
+    ChatCompletionRequestSystemMessage:
+      type: object
+      title: System message
+      description: >
+        Developer-provided instructions that the model should follow, regardless
+        of
+
+        messages sent by the user. With o1 models and newer, use `developer`
+        messages
+
+        for this purpose instead.
+      properties:
+        content:
+          description: The contents of the system message.
+          oneOf:
+            - type: string
+              description: The contents of the system message.
+              title: Text content
+            - type: array
+              description:
+                An array of content parts with a defined type. For system messages,
+                only type `text` is supported.
+              title: Array of content parts
+              items:
+                $ref: "#/components/schemas/ChatCompletionRequestSystemMessageContentPart"
+              minItems: 1
+        role:
+          type: string
+          enum:
+            - system
+          description: The role of the messages author, in this case `system`.
+          x-stainless-const: true
+        name:
+          type: string
+          description: An optional name for the participant. Provides the model
+            information to differentiate between participants of the same role.
+      required:
+        - content
+        - role
+    ChatCompletionRequestSystemMessageContentPart:
+      oneOf:
+        - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartText"
+      x-oaiExpandable: true
+    ChatCompletionRequestToolMessage:
+      type: object
+      title: Tool message
+      properties:
+        role:
+          type: string
+          enum:
+            - tool
+          description: The role of the messages author, in this case `tool`.
+          x-stainless-const: true
+        content:
+          oneOf:
+            - type: string
+              description: The contents of the tool message.
+              title: Text content
+            - type: array
+              description:
+                An array of content parts with a defined type. For tool messages,
+                only type `text` is supported.
+              title: Array of content parts
+              items:
+                $ref: "#/components/schemas/ChatCompletionRequestToolMessageContentPart"
+              minItems: 1
+          description: The contents of the tool message.
+        tool_call_id:
+          type: string
+          description: Tool call that this message is responding to.
+      required:
+        - role
+        - content
+        - tool_call_id
+    ChatCompletionRequestToolMessageContentPart:
+      oneOf:
+        - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartText"
+      x-oaiExpandable: true
+    ChatCompletionRequestUserMessage:
+      type: object
+      title: User message
+      description: |
+        Messages sent by an end user, containing prompts or additional context
+        information.
+      properties:
+        content:
+          description: |
+            The contents of the user message.
+          oneOf:
+            - type: string
+              description: The text contents of the message.
+              title: Text content
+            - type: array
+              description:
+                An array of content parts with a defined type. Supported options
+                differ based on the [model](/docs/models) being used to generate
+                the response. Can contain text, image, or audio inputs.
+              title: Array of content parts
+              items:
+                $ref: "#/components/schemas/ChatCompletionRequestUserMessageContentPart"
+              minItems: 1
+          x-oaiExpandable: true
+        role:
+          type: string
+          enum:
+            - user
+          description: The role of the messages author, in this case `user`.
+          x-stainless-const: true
+        name:
+          type: string
+          description: An optional name for the participant. Provides the model
+            information to differentiate between participants of the same role.
+      required:
+        - content
+        - role
+    ChatCompletionRequestUserMessageContentPart:
+      oneOf:
+        - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartText"
+        - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartImage"
+        - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartAudio"
+        - $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartFile"
+      x-oaiExpandable: true
+    ChatCompletionResponseMessage:
+      type: object
+      description: A chat completion message generated by the model.
+      properties:
+        content:
+          type: string
+          description: The contents of the message.
+          nullable: true
+        refusal:
+          type: string
+          description: The refusal message generated by the model.
+          nullable: true
+        tool_calls:
+          $ref: "#/components/schemas/ChatCompletionMessageToolCalls"
+        annotations:
+          type: array
+          description: |
+            Annotations for the message, when applicable, as when using the
+            [web search tool](/docs/guides/tools-web-search?api-mode=chat).
+          items:
+            type: object
+            description: |
+              A URL citation when using web search.
+            required:
+              - type
+              - url_citation
+            properties:
+              type:
+                type: string
+                description: The type of the URL citation. Always `url_citation`.
+                enum:
+                  - url_citation
+                x-stainless-const: true
+              url_citation:
+                type: object
+                description: A URL citation when using web search.
+                required:
+                  - end_index
+                  - start_index
+                  - url
+                  - title
+                properties:
+                  end_index:
+                    type: integer
+                    description: The index of the last character of the URL citation in the message.
+                  start_index:
+                    type: integer
+                    description:
+                      The index of the first character of the URL citation in the
+                      message.
+                  url:
+                    type: string
+                    description: The URL of the web resource.
+                  title:
+                    type: string
+                    description: The title of the web resource.
+        role:
+          type: string
+          enum:
+            - assistant
+          description: The role of the author of this message.
+          x-stainless-const: true
+        function_call:
+          type: object
+          deprecated: true
+          description:
+            Deprecated and replaced by `tool_calls`. The name and arguments of
+            a function that should be called, as generated by the model.
+          properties:
+            arguments:
+              type: string
+              description:
+                The arguments to call the function with, as generated by the model
+                in JSON format. Note that the model does not always generate
+                valid JSON, and may hallucinate parameters not defined by your
+                function schema. Validate the arguments in your code before
+                calling your function.
+            name:
+              type: string
+              description: The name of the function to call.
+          required:
+            - name
+            - arguments
+        audio:
+          type: object
+          nullable: true
+          description: >
+            If the audio output modality is requested, this object contains data
+
+            about the audio response from the model. [Learn
+            more](/docs/guides/audio).
+          x-oaiExpandable: true
+          required:
+            - id
+            - expires_at
+            - data
+            - transcript
+          properties:
+            id:
+              type: string
+              description: Unique identifier for this audio response.
+            expires_at:
+              type: integer
+              description: >
+                The Unix timestamp (in seconds) for when this audio response
+                will
+
+                no longer be accessible on the server for use in multi-turn
+
+                conversations.
+            data:
+              type: string
+              description: |
+                Base64 encoded audio bytes generated by the model, in the format
+                specified in the request.
+            transcript:
+              type: string
+              description: Transcript of the audio generated by the model.
+      required:
+        - role
+        - content
+        - refusal
+    ChatCompletionRole:
+      type: string
+      description: The role of the author of a message
+      enum:
+        - developer
+        - system
+        - user
+        - assistant
+        - tool
+        - function
+    ChatCompletionStreamOptions:
+      description: >
+        Options for streaming response. Only set this when you set `stream:
+        true`.
+      type: object
+      nullable: true
+      default: null
+      properties:
+        include_usage:
+          type: boolean
+          description: >
+            If set, an additional chunk will be streamed before the `data:
+            [DONE]`
+
+            message. The `usage` field on this chunk shows the token usage
+            statistics
+
+            for the entire request, and the `choices` field will always be an
+            empty
+
+            array. 
+
+
+            All other chunks will also include a `usage` field, but with a null
+
+            value. **NOTE:** If the stream is interrupted, you may not receive
+            the
+
+            final usage chunk which contains the total token usage for the
+            request.
+    ChatCompletionStreamResponseDelta:
+      type: object
+      description: A chat completion delta generated by streamed model responses.
+      properties:
+        content:
+          type: string
+          description: The contents of the chunk message.
+          nullable: true
+        function_call:
+          deprecated: true
+          type: object
+          description:
+            Deprecated and replaced by `tool_calls`. The name and arguments of
+            a function that should be called, as generated by the model.
+          properties:
+            arguments:
+              type: string
+              description:
+                The arguments to call the function with, as generated by the model
+                in JSON format. Note that the model does not always generate
+                valid JSON, and may hallucinate parameters not defined by your
+                function schema. Validate the arguments in your code before
+                calling your function.
+            name:
+              type: string
+              description: The name of the function to call.
+        tool_calls:
+          type: array
+          items:
+            $ref: "#/components/schemas/ChatCompletionMessageToolCallChunk"
+        role:
+          type: string
+          enum:
+            - developer
+            - system
+            - user
+            - assistant
+            - tool
+          description: The role of the author of this message.
+        refusal:
+          type: string
+          description: The refusal message generated by the model.
+          nullable: true
+    ChatCompletionTokenLogprob:
+      type: object
+      properties:
+        token: &a1
+          description: The token.
+          type: string
+        logprob: &a2
+          description:
+            The log probability of this token, if it is within the top 20 most
+            likely tokens. Otherwise, the value `-9999.0` is used to signify
+            that the token is very unlikely.
+          type: number
+        bytes: &a3
+          description:
+            A list of integers representing the UTF-8 bytes representation of
+            the token. Useful in instances where characters are represented by
+            multiple tokens and their byte representations must be combined to
+            generate the correct text representation. Can be `null` if there is
+            no bytes representation for the token.
+          type: array
+          items:
+            type: integer
+          nullable: true
+        top_logprobs:
+          description:
+            List of the most likely tokens and their log probability, at this
+            token position. In rare cases, there may be fewer than the number of
+            requested `top_logprobs` returned.
+          type: array
+          items:
+            type: object
+            properties:
+              token: *a1
+              logprob: *a2
+              bytes: *a3
+            required:
+              - token
+              - logprob
+              - bytes
+      required:
+        - token
+        - logprob
+        - bytes
+        - top_logprobs
+    ChatCompletionTool:
+      type: object
+      properties:
+        type:
+          type: string
+          enum:
+            - function
+          description: The type of the tool. Currently, only `function` is supported.
+          x-stainless-const: true
+        function:
+          $ref: "#/components/schemas/FunctionObject"
+      required:
+        - type
+        - function
+    ChatCompletionToolChoiceOption:
+      description: >
+        Controls which (if any) tool is called by the model.
+
+        `none` means the model will not call any tool and instead generates a
+        message.
+
+        `auto` means the model can pick between generating a message or calling
+        one or more tools.
+
+        `required` means the model must call one or more tools.
+
+        Specifying a particular tool via `{"type": "function", "function":
+        {"name": "my_function"}}` forces the model to call that tool.
+
+
+        `none` is the default when no tools are present. `auto` is the default
+        if tools are present.
+      oneOf:
+        - type: string
+          description: >
+            `none` means the model will not call any tool and instead generates
+            a message. `auto` means the model can pick between generating a
+            message or calling one or more tools. `required` means the model
+            must call one or more tools.
+          enum:
+            - none
+            - auto
+            - required
+        - $ref: "#/components/schemas/ChatCompletionNamedToolChoice"
+      x-oaiExpandable: true
+    ChunkingStrategyRequestParam:
+      type: object
+      description:
+        The chunking strategy used to chunk the file(s). If not set, will
+        use the `auto` strategy.
+      oneOf:
+        - $ref: "#/components/schemas/AutoChunkingStrategyRequestParam"
+        - $ref: "#/components/schemas/StaticChunkingStrategyRequestParam"
+      x-oaiExpandable: true
+    Click:
+      type: object
+      title: Click
+      description: |
+        A click action.
+      properties:
+        type:
+          type: string
+          enum:
+            - click
+          default: click
+          description: |
+            Specifies the event type. For a click action, this property is 
+            always set to `click`.
+          x-stainless-const: true
+        button:
+          type: string
+          enum:
+            - left
+            - right
+            - wheel
+            - back
+            - forward
+          description: >
+            Indicates which mouse button was pressed during the click. One of
+            `left`, `right`, `wheel`, `back`, or `forward`.
+        x:
+          type: integer
+          description: |
+            The x-coordinate where the click occurred.
+        y:
+          type: integer
+          description: |
+            The y-coordinate where the click occurred.
+      required:
+        - type
+        - button
+        - x
+        - y
+    CodeInterpreterFileOutput:
+      type: object
+      title: Code interpreter file output
+      description: |
+        The output of a code interpreter tool call that is a file.
+      properties:
+        type:
+          type: string
+          enum:
+            - files
+          description: |
+            The type of the code interpreter file output. Always `files`.
+          x-stainless-const: true
+        files:
+          type: array
+          items:
+            type: object
+            properties:
+              mime_type:
+                type: string
+                description: |
+                  The MIME type of the file.
+              file_id:
+                type: string
+                description: |
+                  The ID of the file.
+            required:
+              - mime_type
+              - file_id
+      required:
+        - type
+        - files
+    CodeInterpreterTextOutput:
+      type: object
+      title: Code interpreter text output
+      description: |
+        The output of a code interpreter tool call that is text.
+      properties:
+        type:
+          type: string
+          enum:
+            - logs
+          description: |
+            The type of the code interpreter text output. Always `logs`.
+          x-stainless-const: true
+        logs:
+          type: string
+          description: |
+            The logs of the code interpreter tool call.
+      required:
+        - type
+        - logs
+    CodeInterpreterTool:
+      type: object
+      title: Code interpreter
+      description: |
+        A tool that runs code.
+      properties:
+        type:
+          type: string
+          enum:
+            - code_interpreter
+          description: |
+            The type of the code interpreter tool. Always `code_interpreter`.
+          x-stainless-const: true
+        file_ids:
+          type: array
+          items:
+            type: string
+          description: |
+            The IDs of the files to run the code on.
+      required:
+        - type
+        - file_ids
+    CodeInterpreterToolCall:
+      type: object
+      title: Code interpreter tool call
+      description: |
+        A tool call to run code.
+      properties:
+        id:
+          type: string
+          description: |
+            The unique ID of the code interpreter tool call.
+        type:
+          type: string
+          enum:
+            - code_interpreter_call
+          description: >
+            The type of the code interpreter tool call. Always
+            `code_interpreter_call`.
+          x-stainless-const: true
+        code:
+          type: string
+          description: |
+            The code to run.
+        status:
+          type: string
+          enum:
+            - in_progress
+            - interpreting
+            - completed
+          description: |
+            The status of the code interpreter tool call.
+        results:
+          type: array
+          items:
+            x-oaiExpandable: true
+            $ref: "#/components/schemas/CodeInterpreterToolOutput"
+          description: |
+            The results of the code interpreter tool call.
+      required:
+        - id
+        - type
+        - code
+        - status
+        - results
+    CodeInterpreterToolOutput:
+      oneOf:
+        - $ref: "#/components/schemas/CodeInterpreterTextOutput"
+        - $ref: "#/components/schemas/CodeInterpreterFileOutput"
+    ComparisonFilter:
+      type: object
+      additionalProperties: false
+      title: Comparison Filter
+      description: >
+        A filter used to compare a specified attribute key to a given value
+        using a defined comparison operation.
+      properties:
+        type:
+          type: string
+          default: eq
+          enum:
+            - eq
+            - ne
+            - gt
+            - gte
+            - lt
+            - lte
+          description: >
+            Specifies the comparison operator: `eq`, `ne`, `gt`, `gte`, `lt`,
+            `lte`.
+
+            - `eq`: equals
+
+            - `ne`: not equal
+
+            - `gt`: greater than
+
+            - `gte`: greater than or equal
+
+            - `lt`: less than
+
+            - `lte`: less than or equal
+        key:
+          type: string
+          description: The key to compare against the value.
+        value:
+          oneOf:
+            - type: string
+            - type: number
+            - type: boolean
+          description:
+            The value to compare against the attribute key; supports string,
+            number, or boolean types.
+      required:
+        - type
+        - key
+        - value
+      x-oaiMeta:
+        name: ComparisonFilter
+    CompleteUploadRequest:
+      type: object
+      additionalProperties: false
+      properties:
+        part_ids:
+          type: array
+          description: |
+            The ordered list of Part IDs.
+          items:
+            type: string
+        md5:
+          description: >
+            The optional md5 checksum for the file contents to verify if the
+            bytes uploaded matches what you expect.
+          type: string
+      required:
+        - part_ids
+    CompletionUsage:
+      type: object
+      description: Usage statistics for the completion request.
+      properties:
+        completion_tokens:
+          type: integer
+          default: 0
+          description: Number of tokens in the generated completion.
+        prompt_tokens:
+          type: integer
+          default: 0
+          description: Number of tokens in the prompt.
+        total_tokens:
+          type: integer
+          default: 0
+          description: Total number of tokens used in the request (prompt + completion).
+        completion_tokens_details:
+          type: object
+          description: Breakdown of tokens used in a completion.
+          properties:
+            accepted_prediction_tokens:
+              type: integer
+              default: 0
+              description: |
+                When using Predicted Outputs, the number of tokens in the
+                prediction that appeared in the completion.
+            audio_tokens:
+              type: integer
+              default: 0
+              description: Audio input tokens generated by the model.
+            reasoning_tokens:
+              type: integer
+              default: 0
+              description: Tokens generated by the model for reasoning.
+            rejected_prediction_tokens:
+              type: integer
+              default: 0
+              description: >
+                When using Predicted Outputs, the number of tokens in the
+
+                prediction that did not appear in the completion. However, like
+
+                reasoning tokens, these tokens are still counted in the total
+
+                completion tokens for purposes of billing, output, and context
+                window
+
+                limits.
+        prompt_tokens_details:
+          type: object
+          description: Breakdown of tokens used in the prompt.
+          properties:
+            audio_tokens:
+              type: integer
+              default: 0
+              description: Audio input tokens present in the prompt.
+            cached_tokens:
+              type: integer
+              default: 0
+              description: Cached tokens present in the prompt.
+      required:
+        - prompt_tokens
+        - completion_tokens
+        - total_tokens
+    CompoundFilter:
+      type: object
+      additionalProperties: false
+      title: Compound Filter
+      description: Combine multiple filters using `and` or `or`.
+      properties:
+        type:
+          type: string
+          description: "Type of operation: `and` or `or`."
+          enum:
+            - and
+            - or
+        filters:
+          type: array
+          description:
+            Array of filters to combine. Items can be `ComparisonFilter` or
+            `CompoundFilter`.
+          items:
+            oneOf:
+              - $ref: "#/components/schemas/ComparisonFilter"
+              - type: object
+                additionalProperties: true
+      required:
+        - type
+        - filters
+      x-oaiMeta:
+        name: CompoundFilter
+    ComputerAction:
+      oneOf:
+        - $ref: "#/components/schemas/Click"
+        - $ref: "#/components/schemas/DoubleClick"
+        - $ref: "#/components/schemas/Drag"
+        - $ref: "#/components/schemas/KeyPress"
+        - $ref: "#/components/schemas/Move"
+        - $ref: "#/components/schemas/Screenshot"
+        - $ref: "#/components/schemas/Scroll"
+        - $ref: "#/components/schemas/Type"
+        - $ref: "#/components/schemas/Wait"
+    ComputerScreenshotImage:
+      type: object
+      description: |
+        A computer screenshot image used with the computer use tool.
+      properties:
+        type:
+          type: string
+          enum:
+            - computer_screenshot
+          default: computer_screenshot
+          description: >
+            Specifies the event type. For a computer screenshot, this property
+            is 
+
+            always set to `computer_screenshot`.
+          x-stainless-const: true
+        image_url:
+          type: string
+          description: The URL of the screenshot image.
+        file_id:
+          type: string
+          description: The identifier of an uploaded file that contains the screenshot.
+      required:
+        - type
+    ComputerTool:
+      type: object
+      title: Computer use
+      description: |
+        A tool that controls a virtual computer. Learn more about the 
+        [computer tool](/docs/guides/tools-computer-use).
+      properties:
+        type:
+          type: string
+          enum:
+            - computer_use_preview
+          description: |
+            The type of the computer use tool. Always `computer_use_preview`.
+          x-stainless-const: true
+        display_width:
+          type: number
+          description: |
+            The width of the computer display.
+        display_height:
+          type: number
+          description: |
+            The height of the computer display.
+        environment:
+          type: string
+          description: |
+            The type of computer environment to control.
+          enum:
+            - mac
+            - windows
+            - ubuntu
+            - browser
+      required:
+        - type
+        - display_width
+        - display_height
+        - environment
+    ComputerToolCall:
+      type: object
+      title: Computer tool call
+      description: >
+        A tool call to a computer use tool. See the 
+
+        [computer use guide](/docs/guides/tools-computer-use) for more
+        information.
+      properties:
+        type:
+          type: string
+          description: The type of the computer call. Always `computer_call`.
+          enum:
+            - computer_call
+          default: computer_call
+        id:
+          type: string
+          description: The unique ID of the computer call.
+        call_id:
+          type: string
+          description: |
+            An identifier used when responding to the tool call with output.
+        action:
+          $ref: "#/components/schemas/ComputerAction"
+          x-oaiExpandable: true
+        pending_safety_checks:
+          type: array
+          x-oaiExpandable: true
+          items:
+            $ref: "#/components/schemas/ComputerToolCallSafetyCheck"
+          description: |
+            The pending safety checks for the computer call.
+        status:
+          type: string
+          description: |
+            The status of the item. One of `in_progress`, `completed`, or
+            `incomplete`. Populated when items are returned via API.
+          enum:
+            - in_progress
+            - completed
+            - incomplete
+      required:
+        - type
+        - id
+        - action
+        - call_id
+        - pending_safety_checks
+        - status
+    ComputerToolCallOutput:
+      type: object
+      title: Computer tool call output
+      description: |
+        The output of a computer tool call.
+      properties:
+        type:
+          type: string
+          description: >
+            The type of the computer tool call output. Always
+            `computer_call_output`.
+          enum:
+            - computer_call_output
+          default: computer_call_output
+          x-stainless-const: true
+        id:
+          type: string
+          description: |
+            The ID of the computer tool call output.
+        call_id:
+          type: string
+          description: |
+            The ID of the computer tool call that produced the output.
+        acknowledged_safety_checks:
+          type: array
+          x-oaiExpandable: true
+          description: >
+            The safety checks reported by the API that have been acknowledged by
+            the 
+
+            developer.
+          items:
+            $ref: "#/components/schemas/ComputerToolCallSafetyCheck"
+        output:
+          $ref: "#/components/schemas/ComputerScreenshotImage"
+        status:
+          type: string
+          description: >
+            The status of the message input. One of `in_progress`, `completed`,
+            or
+
+            `incomplete`. Populated when input items are returned via API.
+          enum:
+            - in_progress
+            - completed
+            - incomplete
+      required:
+        - type
+        - call_id
+        - output
+    ComputerToolCallOutputResource:
+      allOf:
+        - $ref: "#/components/schemas/ComputerToolCallOutput"
+        - type: object
+          properties:
+            id:
+              type: string
+              description: |
+                The unique ID of the computer call tool output.
+          required:
+            - id
+    ComputerToolCallSafetyCheck:
+      type: object
+      description: |
+        A pending safety check for the computer call.
+      properties:
+        id:
+          type: string
+          description: The ID of the pending safety check.
+        code:
+          type: string
+          description: The type of the pending safety check.
+        message:
+          type: string
+          description: Details about the pending safety check.
+      required:
+        - id
+        - code
+        - message
+    Content:
+      description: |
+        Multi-modal input and output contents.
+      oneOf:
+        - title: Input content types
+          x-oaiExpandable: true
+          $ref: "#/components/schemas/InputContent"
+        - title: Output content types
+          x-oaiExpandable: true
+          $ref: "#/components/schemas/OutputContent"
+    Coordinate:
+      type: object
+      title: Coordinate
+      description: |
+        An x/y coordinate pair, e.g. `{ x: 100, y: 200 }`.
+      properties:
+        x:
+          type: integer
+          description: |
+            The x-coordinate.
+        y:
+          type: integer
+          description: |
+            The y-coordinate.
+      required:
+        - x
+        - y
+    CostsResult:
+      type: object
+      description: The aggregated costs details of the specific time bucket.
+      properties:
+        object:
+          type: string
+          enum:
+            - organization.costs.result
+          x-stainless-const: true
+        amount:
+          type: object
+          description: The monetary value in its associated currency.
+          properties:
+            value:
+              type: number
+              description: The numeric value of the cost.
+            currency:
+              type: string
+              description: Lowercase ISO-4217 currency e.g. "usd"
+        line_item:
+          type: string
+          nullable: true
+          description:
+            When `group_by=line_item`, this field provides the line item of the
+            grouped costs result.
+        project_id:
+          type: string
+          nullable: true
+          description:
+            When `group_by=project_id`, this field provides the project ID of
+            the grouped costs result.
+      required:
+        - object
+      x-oaiMeta:
+        name: Costs object
+        example: |
+          {
+              "object": "organization.costs.result",
+              "amount": {
+                "value": 0.06,
+                "currency": "usd"
+              },
+              "line_item": "Image models",
+              "project_id": "proj_abc"
+          }
+    CreateAssistantRequest:
+      type: object
+      additionalProperties: false
+      properties:
+        model:
+          description: >
+            ID of the model to use. You can use the [List
+            models](/docs/api-reference/models/list) API to see all of your
+            available models, or see our [Model overview](/docs/models) for
+            descriptions of them.
+          example: gpt-4o
+          anyOf:
+            - type: string
+            - $ref: "#/components/schemas/AssistantSupportedModels"
+          x-oaiTypeLabel: string
+        name:
+          description: |
+            The name of the assistant. The maximum length is 256 characters.
+          type: string
+          nullable: true
+          maxLength: 256
+        description:
+          description: >
+            The description of the assistant. The maximum length is 512
+            characters.
+          type: string
+          nullable: true
+          maxLength: 512
+        instructions:
+          description: >
+            The system instructions that the assistant uses. The maximum length
+            is 256,000 characters.
+          type: string
+          nullable: true
+          maxLength: 256000
+        reasoning_effort:
+          $ref: "#/components/schemas/ReasoningEffort"
+        tools:
+          description: >
+            A list of tool enabled on the assistant. There can be a maximum of
+            128 tools per assistant. Tools can be of types `code_interpreter`,
+            `file_search`, or `function`.
+          default: []
+          type: array
+          maxItems: 128
+          items:
+            oneOf:
+              - $ref: "#/components/schemas/AssistantToolsCode"
+              - $ref: "#/components/schemas/AssistantToolsFileSearch"
+              - $ref: "#/components/schemas/AssistantToolsFunction"
+            x-oaiExpandable: true
+        tool_resources:
+          type: object
+          description: >
+            A set of resources that are used by the assistant's tools. The
+            resources are specific to the type of tool. For example, the
+            `code_interpreter` tool requires a list of file IDs, while the
+            `file_search` tool requires a list of vector store IDs.
+          properties:
+            code_interpreter:
+              type: object
+              properties:
+                file_ids:
+                  type: array
+                  description: >
+                    A list of [file](/docs/api-reference/files) IDs made
+                    available to the `code_interpreter` tool. There can be a
+                    maximum of 20 files associated with the tool.
+                  default: []
+                  maxItems: 20
+                  items:
+                    type: string
+            file_search:
+              type: object
+              properties:
+                vector_store_ids:
+                  type: array
+                  description: >
+                    The [vector store](/docs/api-reference/vector-stores/object)
+                    attached to this assistant. There can be a maximum of 1
+                    vector store attached to the assistant.
+                  maxItems: 1
+                  items:
+                    type: string
+                vector_stores:
+                  type: array
+                  description: >
+                    A helper to create a [vector
+                    store](/docs/api-reference/vector-stores/object) with
+                    file_ids and attach it to this assistant. There can be a
+                    maximum of 1 vector store attached to the assistant.
+                  maxItems: 1
+                  items:
+                    type: object
+                    properties:
+                      file_ids:
+                        type: array
+                        description: >
+                          A list of [file](/docs/api-reference/files) IDs to add
+                          to the vector store. There can be a maximum of 10000
+                          files in a vector store.
+                        maxItems: 10000
+                        items:
+                          type: string
+                      chunking_strategy:
+                        type: object
+                        description:
+                          The chunking strategy used to chunk the file(s). If not set, will
+                          use the `auto` strategy.
+                        oneOf:
+                          - type: object
+                            title: Auto Chunking Strategy
+                            description:
+                              The default strategy. This strategy currently uses a
+                              `max_chunk_size_tokens` of `800` and
+                              `chunk_overlap_tokens` of `400`.
+                            additionalProperties: false
+                            properties:
+                              type:
+                                type: string
+                                description: Always `auto`.
+                                enum:
+                                  - auto
+                                x-stainless-const: true
+                            required:
+                              - type
+                          - type: object
+                            title: Static Chunking Strategy
+                            additionalProperties: false
+                            properties:
+                              type:
+                                type: string
+                                description: Always `static`.
+                                enum:
+                                  - static
+                                x-stainless-const: true
+                              static:
+                                type: object
+                                additionalProperties: false
+                                properties:
+                                  max_chunk_size_tokens:
+                                    type: integer
+                                    minimum: 100
+                                    maximum: 4096
+                                    description:
+                                      The maximum number of tokens in each chunk. The default value is
+                                      `800`. The minimum value is `100` and the
+                                      maximum value is `4096`.
+                                  chunk_overlap_tokens:
+                                    type: integer
+                                    description: >
+                                      The number of tokens that overlap between
+                                      chunks. The default value is `400`.
+
+
+                                      Note that the overlap must not exceed half
+                                      of `max_chunk_size_tokens`.
+                                required:
+                                  - max_chunk_size_tokens
+                                  - chunk_overlap_tokens
+                            required:
+                              - type
+                              - static
+                        x-oaiExpandable: true
+                      metadata:
+                        $ref: "#/components/schemas/Metadata"
+              oneOf:
+                - required:
+                    - vector_store_ids
+                - required:
+                    - vector_stores
+          nullable: true
+        metadata:
+          $ref: "#/components/schemas/Metadata"
+        temperature:
+          description: >
+            What sampling temperature to use, between 0 and 2. Higher values
+            like 0.8 will make the output more random, while lower values like
+            0.2 will make it more focused and deterministic.
+          type: number
+          minimum: 0
+          maximum: 2
+          default: 1
+          example: 1
+          nullable: true
+        top_p:
+          type: number
+          minimum: 0
+          maximum: 1
+          default: 1
+          example: 1
+          nullable: true
+          description: >
+            An alternative to sampling with temperature, called nucleus
+            sampling, where the model considers the results of the tokens with
+            top_p probability mass. So 0.1 means only the tokens comprising the
+            top 10% probability mass are considered.
+
+
+            We generally recommend altering this or temperature but not both.
+        response_format:
+          $ref: "#/components/schemas/AssistantsApiResponseFormatOption"
+          nullable: true
+      required:
+        - model
+    CreateChatCompletionFunctionResponse:
+      type: object
+      description:
+        Represents a chat completion response returned by model, based on
+        the provided input.
+      properties:
+        id:
+          type: string
+          description: A unique identifier for the chat completion.
+        choices:
+          type: array
+          description:
+            A list of chat completion choices. Can be more than one if `n` is
+            greater than 1.
+          items:
+            type: object
+            required:
+              - finish_reason
+              - index
+              - message
+            properties:
+              finish_reason:
+                type: string
+                description: >
+                  The reason the model stopped generating tokens. This will be
+                  `stop` if the model hit a natural stop point or a provided
+                  stop sequence, `length` if the maximum number of tokens
+                  specified in the request was reached, `content_filter` if
+                  content was omitted due to a flag from our content filters, or
+                  `function_call` if the model called a function.
+                enum:
+                  - stop
+                  - length
+                  - function_call
+                  - content_filter
+              index:
+                type: integer
+                description: The index of the choice in the list of choices.
+              message:
+                $ref: "#/components/schemas/ChatCompletionResponseMessage"
+        created:
+          type: integer
+          description:
+            The Unix timestamp (in seconds) of when the chat completion was
+            created.
+        model:
+          type: string
+          description: The model used for the chat completion.
+        system_fingerprint:
+          type: string
+          description: >
+            This fingerprint represents the backend configuration that the model
+            runs with.
+
+
+            Can be used in conjunction with the `seed` request parameter to
+            understand when backend changes have been made that might impact
+            determinism.
+        object:
+          type: string
+          description: The object type, which is always `chat.completion`.
+          enum:
+            - chat.completion
+          x-stainless-const: true
+        usage:
+          $ref: "#/components/schemas/CompletionUsage"
+      required:
+        - choices
+        - created
+        - id
+        - model
+        - object
+      x-oaiMeta:
+        name: The chat completion object
+        group: chat
+        example: |
+          {
+            "id": "chatcmpl-abc123",
+            "object": "chat.completion",
+            "created": 1699896916,
+            "model": "gpt-4o-mini",
+            "choices": [
+              {
+                "index": 0,
+                "message": {
+                  "role": "assistant",
+                  "content": null,
+                  "tool_calls": [
+                    {
+                      "id": "call_abc123",
+                      "type": "function",
+                      "function": {
+                        "name": "get_current_weather",
+                        "arguments": "{\n\"location\": \"Boston, MA\"\n}"
+                      }
+                    }
+                  ]
+                },
+                "logprobs": null,
+                "finish_reason": "tool_calls"
+              }
+            ],
+            "usage": {
+              "prompt_tokens": 82,
+              "completion_tokens": 17,
+              "total_tokens": 99,
+              "completion_tokens_details": {
+                "reasoning_tokens": 0,
+                "accepted_prediction_tokens": 0,
+                "rejected_prediction_tokens": 0
+              }
+            }
+          }
+    CreateChatCompletionImageResponse:
+      type: object
+      description:
+        Represents a streamed chunk of a chat completion response returned
+        by model, based on the provided input. [Learn
+        more](/docs/guides/streaming-responses).
+      x-oaiMeta:
+        name: The chat completion chunk object
+        group: chat
+        example: >
+          {
+            "id": "chatcmpl-123",
+            "object": "chat.completion",
+            "created": 1677652288,
+            "model": "gpt-4o-mini",
+            "system_fingerprint": "fp_44709d6fcb",
+            "choices": [{
+              "index": 0,
+              "message": {
+                "role": "assistant",
+                "content": "\n\nThis image shows a wooden boardwalk extending through a lush green marshland.",
+              },
+              "logprobs": null,
+              "finish_reason": "stop"
+            }],
+            "usage": {
+              "prompt_tokens": 9,
+              "completion_tokens": 12,
+              "total_tokens": 21,
+              "completion_tokens_details": {
+                "reasoning_tokens": 0,
+                "accepted_prediction_tokens": 0,
+                "rejected_prediction_tokens": 0
+              }
+            }
+          }
+    CreateChatCompletionRequest:
+      allOf:
+        - $ref: "#/components/schemas/CreateModelResponseProperties"
+        - type: object
+          properties:
+            messages:
+              description: >
+                A list of messages comprising the conversation so far. Depending
+                on the
+
+                [model](/docs/models) you use, different message types
+                (modalities) are
+
+                supported, like [text](/docs/guides/text-generation),
+
+                [images](/docs/guides/vision), and [audio](/docs/guides/audio).
+              type: array
+              minItems: 1
+              items:
+                $ref: "#/components/schemas/ChatCompletionRequestMessage"
+            model:
+              description: >
+                Model ID used to generate the response, like `gpt-4o` or `o1`.
+                OpenAI
+
+                offers a wide range of models with different capabilities,
+                performance
+
+                characteristics, and price points. Refer to the [model
+                guide](/docs/models)
+
+                to browse and compare available models.
+              $ref: "#/components/schemas/ModelIdsShared"
+            modalities:
+              $ref: "#/components/schemas/ResponseModalities"
+            reasoning_effort:
+              $ref: "#/components/schemas/ReasoningEffort"
+            max_completion_tokens:
+              description: >
+                An upper bound for the number of tokens that can be generated
+                for a completion, including visible output tokens and [reasoning
+                tokens](/docs/guides/reasoning).
+              type: integer
+              nullable: true
+            frequency_penalty:
+              type: number
+              default: 0
+              minimum: -2
+              maximum: 2
+              nullable: true
+              description: >
+                Number between -2.0 and 2.0. Positive values penalize new tokens
+                based on
+
+                their existing frequency in the text so far, decreasing the
+                model's
+
+                likelihood to repeat the same line verbatim.
+            presence_penalty:
+              type: number
+              default: 0
+              minimum: -2
+              maximum: 2
+              nullable: true
+              description: >
+                Number between -2.0 and 2.0. Positive values penalize new tokens
+                based on
+
+                whether they appear in the text so far, increasing the model's
+                likelihood
+
+                to talk about new topics.
+            web_search_options:
+              type: object
+              title: Web search
+              description: >
+                This tool searches the web for relevant results to use in a
+                response.
+
+                Learn more about the [web search
+                tool](/docs/guides/tools-web-search?api-mode=chat).
+              properties:
+                user_location:
+                  type: object
+                  nullable: true
+                  required:
+                    - type
+                    - approximate
+                  description: |
+                    Approximate location parameters for the search.
+                  properties:
+                    type:
+                      type: string
+                      description: >
+                        The type of location approximation. Always `approximate`.
+                      enum:
+                        - approximate
+                      x-stainless-const: true
+                    approximate:
+                      $ref: "#/components/schemas/WebSearchLocation"
+                search_context_size:
+                  $ref: "#/components/schemas/WebSearchContextSize"
+            top_logprobs:
+              description: >
+                An integer between 0 and 20 specifying the number of most likely
+                tokens to
+
+                return at each token position, each with an associated log
+                probability.
+
+                `logprobs` must be set to `true` if this parameter is used.
+              type: integer
+              minimum: 0
+              maximum: 20
+              nullable: true
+            response_format:
+              description: >
+                An object specifying the format that the model must output.
+
+
+                Setting to `{ "type": "json_schema", "json_schema": {...} }`
+                enables
+
+                Structured Outputs which ensures the model will match your
+                supplied JSON
+
+                schema. Learn more in the [Structured Outputs
+
+                guide](/docs/guides/structured-outputs).
+
+
+                Setting to `{ "type": "json_object" }` enables the older JSON
+                mode, which
+
+                ensures the message the model generates is valid JSON. Using
+                `json_schema`
+
+                is preferred for models that support it.
+              oneOf:
+                - $ref: "#/components/schemas/ResponseFormatText"
+                - $ref: "#/components/schemas/ResponseFormatJsonSchema"
+                - $ref: "#/components/schemas/ResponseFormatJsonObject"
+              x-oaiExpandable: true
+            service_tier:
+              description: >
+                Specifies the latency tier to use for processing the request.
+                This parameter is relevant for customers subscribed to the scale
+                tier service:
+                  - If set to 'auto', and the Project is Scale tier enabled, the system
+                    will utilize scale tier credits until they are exhausted.
+                  - If set to 'auto', and the Project is not Scale tier enabled, the request will be processed using the default service tier with a lower uptime SLA and no latency guarentee.
+                  - If set to 'default', the request will be processed using the default service tier with a lower uptime SLA and no latency guarentee.
+                  - When not set, the default behavior is 'auto'.
+
+                  When this parameter is set, the response body will include the `service_tier` utilized.
+              type: string
+              enum:
+                - auto
+                - default
+              nullable: true
+              default: auto
+            audio:
+              type: object
+              nullable: true
+              description: >
+                Parameters for audio output. Required when audio output is
+                requested with
+
+                `modalities: ["audio"]`. [Learn more](/docs/guides/audio).
+              required:
+                - voice
+                - format
+              x-oaiExpandable: true
+              properties:
+                voice:
+                  $ref: "#/components/schemas/VoiceIdsShared"
+                  description: >
+                    The voice the model uses to respond. Supported voices are 
+
+                    `alloy`, `ash`, `ballad`, `coral`, `echo`, `sage`, and
+                    `shimmer`.
+                format:
+                  type: string
+                  enum:
+                    - wav
+                    - mp3
+                    - flac
+                    - opus
+                    - pcm16
+                  description: >
+                    Specifies the output audio format. Must be one of `wav`,
+                    `mp3`, `flac`,
+
+                    `opus`, or `pcm16`.
+            store:
+              type: boolean
+              default: false
+              nullable: true
+              description: >
+                Whether or not to store the output of this chat completion
+                request for 
+
+                use in our [model distillation](/docs/guides/distillation) or
+
+                [evals](/docs/guides/evals) products.
+            stream:
+              description: >
+                If set to true, the model response data will be streamed to the
+                client
+
+                as it is generated using [server-sent
+                events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format).
+
+                See the [Streaming section
+                below](/docs/api-reference/chat/streaming)
+
+                for more information, along with the [streaming
+                responses](/docs/guides/streaming-responses)
+
+                guide for more information on how to handle the streaming
+                events.
+              type: boolean
+              nullable: true
+              default: false
+            stop:
+              $ref: "#/components/schemas/StopConfiguration"
+            logit_bias:
+              type: object
+              x-oaiTypeLabel: map
+              default: null
+              nullable: true
+              additionalProperties:
+                type: integer
+              description: >
+                Modify the likelihood of specified tokens appearing in the
+                completion.
+
+
+                Accepts a JSON object that maps tokens (specified by their token
+                ID in the
+
+                tokenizer) to an associated bias value from -100 to 100.
+                Mathematically,
+
+                the bias is added to the logits generated by the model prior to
+                sampling.
+
+                The exact effect will vary per model, but values between -1 and
+                1 should
+
+                decrease or increase likelihood of selection; values like -100
+                or 100
+
+                should result in a ban or exclusive selection of the relevant
+                token.
+            logprobs:
+              description: >
+                Whether to return log probabilities of the output tokens or not.
+                If true,
+
+                returns the log probabilities of each output token returned in
+                the
+
+                `content` of `message`.
+              type: boolean
+              default: false
+              nullable: true
+            max_tokens:
+              description: >
+                The maximum number of [tokens](/tokenizer) that can be generated
+                in the
+
+                chat completion. This value can be used to control
+
+                [costs](https://openai.com/api/pricing/) for text generated via
+                API.
+
+
+                This value is now deprecated in favor of
+                `max_completion_tokens`, and is
+
+                not compatible with [o1 series models](/docs/guides/reasoning).
+              type: integer
+              nullable: true
+              deprecated: true
+            n:
+              type: integer
+              minimum: 1
+              maximum: 128
+              default: 1
+              example: 1
+              nullable: true
+              description:
+                How many chat completion choices to generate for each input
+                message. Note that you will be charged based on the number of
+                generated tokens across all of the choices. Keep `n` as `1` to
+                minimize costs.
+            prediction:
+              nullable: true
+              x-oaiExpandable: true
+              description: >
+                Configuration for a [Predicted
+                Output](/docs/guides/predicted-outputs),
+
+                which can greatly improve response times when large parts of the
+                model
+
+                response are known ahead of time. This is most common when you
+                are
+
+                regenerating a file with only minor changes to most of the
+                content.
+              oneOf:
+                - $ref: "#/components/schemas/PredictionContent"
+            seed:
+              type: integer
+              format: int64
+              nullable: true
+              description: >
+                This feature is in Beta.
+
+                If specified, our system will make a best effort to sample
+                deterministically, such that repeated requests with the same
+                `seed` and parameters should return the same result.
+
+                Determinism is not guaranteed, and you should refer to the
+                `system_fingerprint` response parameter to monitor changes in
+                the backend.
+              x-oaiMeta:
+                beta: true
+            stream_options:
+              $ref: "#/components/schemas/ChatCompletionStreamOptions"
+            tools:
+              type: array
+              description: >
+                A list of tools the model may call. Currently, only functions
+                are supported as a tool. Use this to provide a list of functions
+                the model may generate JSON inputs for. A max of 128 functions
+                are supported.
+              items:
+                $ref: "#/components/schemas/ChatCompletionTool"
+            tool_choice:
+              $ref: "#/components/schemas/ChatCompletionToolChoiceOption"
+            parallel_tool_calls:
+              $ref: "#/components/schemas/ParallelToolCalls"
+            function_call:
+              deprecated: true
+              description: >
+                Deprecated in favor of `tool_choice`.
+
+
+                Controls which (if any) function is called by the model.
+
+
+                `none` means the model will not call a function and instead
+                generates a
+
+                message.
+
+
+                `auto` means the model can pick between generating a message or
+                calling a
+
+                function.
+
+
+                Specifying a particular function via `{"name": "my_function"}`
+                forces the
+
+                model to call that function.
+
+
+                `none` is the default when no functions are present. `auto` is
+                the default
+
+                if functions are present.
+              oneOf:
+                - type: string
+                  description: >
+                    `none` means the model will not call a function and instead
+                    generates a message. `auto` means the model can pick between
+                    generating a message or calling a function.
+                  enum:
+                    - none
+                    - auto
+                - $ref: "#/components/schemas/ChatCompletionFunctionCallOption"
+              x-oaiExpandable: true
+            functions:
+              deprecated: true
+              description: |
+                Deprecated in favor of `tools`.
+
+                A list of functions the model may generate JSON inputs for.
+              type: array
+              minItems: 1
+              maxItems: 128
+              items:
+                $ref: "#/components/schemas/ChatCompletionFunctions"
+          required:
+            - model
+            - messages
+    CreateChatCompletionResponse:
+      type: object
+      description:
+        Represents a chat completion response returned by model, based on
+        the provided input.
+      properties:
+        id:
+          type: string
+          description: A unique identifier for the chat completion.
+        choices:
+          type: array
+          description:
+            A list of chat completion choices. Can be more than one if `n` is
+            greater than 1.
+          items:
+            type: object
+            required:
+              - finish_reason
+              - index
+              - message
+              - logprobs
+            properties:
+              finish_reason:
+                type: string
+                description: >
+                  The reason the model stopped generating tokens. This will be
+                  `stop` if the model hit a natural stop point or a provided
+                  stop sequence,
+
+                  `length` if the maximum number of tokens specified in the
+                  request was reached,
+
+                  `content_filter` if content was omitted due to a flag from our
+                  content filters,
+
+                  `tool_calls` if the model called a tool, or `function_call`
+                  (deprecated) if the model called a function.
+                enum:
+                  - stop
+                  - length
+                  - tool_calls
+                  - content_filter
+                  - function_call
+              index:
+                type: integer
+                description: The index of the choice in the list of choices.
+              message:
+                $ref: "#/components/schemas/ChatCompletionResponseMessage"
+              logprobs:
+                description: Log probability information for the choice.
+                type: object
+                nullable: true
+                properties:
+                  content:
+                    description: A list of message content tokens with log probability information.
+                    type: array
+                    items:
+                      $ref: "#/components/schemas/ChatCompletionTokenLogprob"
+                    nullable: true
+                  refusal:
+                    description: A list of message refusal tokens with log probability information.
+                    type: array
+                    items:
+                      $ref: "#/components/schemas/ChatCompletionTokenLogprob"
+                    nullable: true
+                required:
+                  - content
+                  - refusal
+        created:
+          type: integer
+          description:
+            The Unix timestamp (in seconds) of when the chat completion was
+            created.
+        model:
+          type: string
+          description: The model used for the chat completion.
+        service_tier:
+          description: The service tier used for processing the request.
+          type: string
+          enum:
+            - scale
+            - default
+          example: scale
+          nullable: true
+        system_fingerprint:
+          type: string
+          description: >
+            This fingerprint represents the backend configuration that the model
+            runs with.
+
+
+            Can be used in conjunction with the `seed` request parameter to
+            understand when backend changes have been made that might impact
+            determinism.
+        object:
+          type: string
+          description: The object type, which is always `chat.completion`.
+          enum:
+            - chat.completion
+          x-stainless-const: true
+        usage:
+          $ref: "#/components/schemas/CompletionUsage"
+      required:
+        - choices
+        - created
+        - id
+        - model
+        - object
+      x-oaiMeta:
+        name: The chat completion object
+        group: chat
+        example: >
+          {
+            "id": "chatcmpl-B9MHDbslfkBeAs8l4bebGdFOJ6PeG",
+            "object": "chat.completion",
+            "created": 1741570283,
+            "model": "gpt-4o-2024-08-06",
+            "choices": [
+              {
+                "index": 0,
+                "message": {
+                  "role": "assistant",
+                  "content": "The image shows a wooden boardwalk path running through a lush green field or meadow. The sky is bright blue with some scattered clouds, giving the scene a serene and peaceful atmosphere. Trees and shrubs are visible in the background.",
+                  "refusal": null,
+                  "annotations": []
+                },
+                "logprobs": null,
+                "finish_reason": "stop"
+              }
+            ],
+            "usage": {
+              "prompt_tokens": 1117,
+              "completion_tokens": 46,
+              "total_tokens": 1163,
+              "prompt_tokens_details": {
+                "cached_tokens": 0,
+                "audio_tokens": 0
+              },
+              "completion_tokens_details": {
+                "reasoning_tokens": 0,
+                "audio_tokens": 0,
+                "accepted_prediction_tokens": 0,
+                "rejected_prediction_tokens": 0
+              }
+            },
+            "service_tier": "default",
+            "system_fingerprint": "fp_fc9f1d7035"
+          }
+    CreateChatCompletionStreamResponse:
+      type: object
+      description: |
+        Represents a streamed chunk of a chat completion response returned
+        by the model, based on the provided input. 
+        [Learn more](/docs/guides/streaming-responses).
+      properties:
+        id:
+          type: string
+          description:
+            A unique identifier for the chat completion. Each chunk has the
+            same ID.
+        choices:
+          type: array
+          description: >
+            A list of chat completion choices. Can contain more than one
+            elements if `n` is greater than 1. Can also be empty for the
+
+            last chunk if you set `stream_options: {"include_usage": true}`.
+          items:
+            type: object
+            required:
+              - delta
+              - finish_reason
+              - index
+            properties:
+              delta:
+                $ref: "#/components/schemas/ChatCompletionStreamResponseDelta"
+              logprobs:
+                description: Log probability information for the choice.
+                type: object
+                nullable: true
+                properties:
+                  content:
+                    description: A list of message content tokens with log probability information.
+                    type: array
+                    items:
+                      $ref: "#/components/schemas/ChatCompletionTokenLogprob"
+                    nullable: true
+                  refusal:
+                    description: A list of message refusal tokens with log probability information.
+                    type: array
+                    items:
+                      $ref: "#/components/schemas/ChatCompletionTokenLogprob"
+                    nullable: true
+                required:
+                  - content
+                  - refusal
+              finish_reason:
+                type: string
+                description: >
+                  The reason the model stopped generating tokens. This will be
+                  `stop` if the model hit a natural stop point or a provided
+                  stop sequence,
+
+                  `length` if the maximum number of tokens specified in the
+                  request was reached,
+
+                  `content_filter` if content was omitted due to a flag from our
+                  content filters,
+
+                  `tool_calls` if the model called a tool, or `function_call`
+                  (deprecated) if the model called a function.
+                enum:
+                  - stop
+                  - length
+                  - tool_calls
+                  - content_filter
+                  - function_call
+                nullable: true
+              index:
+                type: integer
+                description: The index of the choice in the list of choices.
+        created:
+          type: integer
+          description:
+            The Unix timestamp (in seconds) of when the chat completion was
+            created. Each chunk has the same timestamp.
+        model:
+          type: string
+          description: The model to generate the completion.
+        service_tier:
+          description: The service tier used for processing the request.
+          type: string
+          enum:
+            - scale
+            - default
+          example: scale
+          nullable: true
+        system_fingerprint:
+          type: string
+          description: >
+            This fingerprint represents the backend configuration that the model
+            runs with.
+
+            Can be used in conjunction with the `seed` request parameter to
+            understand when backend changes have been made that might impact
+            determinism.
+        object:
+          type: string
+          description: The object type, which is always `chat.completion.chunk`.
+          enum:
+            - chat.completion.chunk
+          x-stainless-const: true
+        usage:
+          $ref: "#/components/schemas/CompletionUsage"
+          nullable: true
+          description: >
+            An optional field that will only be present when you set
+
+            `stream_options: {"include_usage": true}` in your request. When
+            present, it
+
+            contains a null value **except for the last chunk** which contains
+            the
+
+            token usage statistics for the entire request.
+
+
+            **NOTE:** If the stream is interrupted or cancelled, you may not
+
+            receive the final usage chunk which contains the total token usage
+            for
+
+            the request.
+      required:
+        - choices
+        - created
+        - id
+        - model
+        - object
+      x-oaiMeta:
+        name: The chat completion chunk object
+        group: chat
+        example: >
+          {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-4o-mini",
+          "system_fingerprint": "fp_44709d6fcb",
+          "choices":[{"index":0,"delta":{"role":"assistant","content":""},"logprobs":null,"finish_reason":null}]}
+
+
+          {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-4o-mini",
+          "system_fingerprint": "fp_44709d6fcb",
+          "choices":[{"index":0,"delta":{"content":"Hello"},"logprobs":null,"finish_reason":null}]}
+
+
+          ....
+
+
+          {"id":"chatcmpl-123","object":"chat.completion.chunk","created":1694268190,"model":"gpt-4o-mini",
+          "system_fingerprint": "fp_44709d6fcb",
+          "choices":[{"index":0,"delta":{},"logprobs":null,"finish_reason":"stop"}]}
+    CreateCompletionRequest:
+      type: object
+      properties:
+        model:
+          description: >
+            ID of the model to use. You can use the [List
+            models](/docs/api-reference/models/list) API to see all of your
+            available models, or see our [Model overview](/docs/models) for
+            descriptions of them.
+          anyOf:
+            - type: string
+            - type: string
+              enum:
+                - gpt-3.5-turbo-instruct
+                - davinci-002
+                - babbage-002
+          x-oaiTypeLabel: string
+        prompt:
+          description: >
+            The prompt(s) to generate completions for, encoded as a string,
+            array of strings, array of tokens, or array of token arrays.
+
+
+            Note that <|endoftext|> is the document separator that the model
+            sees during training, so if a prompt is not specified the model will
+            generate as if from the beginning of a new document.
+          default: <|endoftext|>
+          nullable: true
+          oneOf:
+            - type: string
+              default: ""
+              example: This is a test.
+            - type: array
+              items:
+                type: string
+                default: ""
+                example: This is a test.
+            - type: array
+              minItems: 1
+              items:
+                type: integer
+              example: "[1212, 318, 257, 1332, 13]"
+            - type: array
+              minItems: 1
+              items:
+                type: array
+                minItems: 1
+                items:
+                  type: integer
+              example: "[[1212, 318, 257, 1332, 13]]"
+        best_of:
+          type: integer
+          default: 1
+          minimum: 0
+          maximum: 20
+          nullable: true
+          description: >
+            Generates `best_of` completions server-side and returns the "best"
+            (the one with the highest log probability per token). Results cannot
+            be streamed.
+
+
+            When used with `n`, `best_of` controls the number of candidate
+            completions and `n` specifies how many to return – `best_of` must be
+            greater than `n`.
+
+
+            **Note:** Because this parameter generates many completions, it can
+            quickly consume your token quota. Use carefully and ensure that you
+            have reasonable settings for `max_tokens` and `stop`.
+        echo:
+          type: boolean
+          default: false
+          nullable: true
+          description: |
+            Echo back the prompt in addition to the completion
+        frequency_penalty:
+          type: number
+          default: 0
+          minimum: -2
+          maximum: 2
+          nullable: true
+          description: >
+            Number between -2.0 and 2.0. Positive values penalize new tokens
+            based on their existing frequency in the text so far, decreasing the
+            model's likelihood to repeat the same line verbatim.
+
+
+            [See more information about frequency and presence
+            penalties.](/docs/guides/text-generation)
+        logit_bias:
+          type: object
+          x-oaiTypeLabel: map
+          default: null
+          nullable: true
+          additionalProperties:
+            type: integer
+          description: >
+            Modify the likelihood of specified tokens appearing in the
+            completion.
+
+
+            Accepts a JSON object that maps tokens (specified by their token ID
+            in the GPT tokenizer) to an associated bias value from -100 to 100.
+            You can use this [tokenizer tool](/tokenizer?view=bpe) to convert
+            text to token IDs. Mathematically, the bias is added to the logits
+            generated by the model prior to sampling. The exact effect will vary
+            per model, but values between -1 and 1 should decrease or increase
+            likelihood of selection; values like -100 or 100 should result in a
+            ban or exclusive selection of the relevant token.
+
+
+            As an example, you can pass `{"50256": -100}` to prevent the
+            <|endoftext|> token from being generated.
+        logprobs:
+          type: integer
+          minimum: 0
+          maximum: 5
+          default: null
+          nullable: true
+          description: >
+            Include the log probabilities on the `logprobs` most likely output
+            tokens, as well the chosen tokens. For example, if `logprobs` is 5,
+            the API will return a list of the 5 most likely tokens. The API will
+            always return the `logprob` of the sampled token, so there may be up
+            to `logprobs+1` elements in the response.
+
+
+            The maximum value for `logprobs` is 5.
+        max_tokens:
+          type: integer
+          minimum: 0
+          default: 16
+          example: 16
+          nullable: true
+          description: >
+            The maximum number of [tokens](/tokenizer) that can be generated in
+            the completion.
+
+
+            The token count of your prompt plus `max_tokens` cannot exceed the
+            model's context length. [Example Python
+            code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken)
+            for counting tokens.
+        n:
+          type: integer
+          minimum: 1
+          maximum: 128
+          default: 1
+          example: 1
+          nullable: true
+          description: >
+            How many completions to generate for each prompt.
+
+
+            **Note:** Because this parameter generates many completions, it can
+            quickly consume your token quota. Use carefully and ensure that you
+            have reasonable settings for `max_tokens` and `stop`.
+        presence_penalty:
+          type: number
+          default: 0
+          minimum: -2
+          maximum: 2
+          nullable: true
+          description: >
+            Number between -2.0 and 2.0. Positive values penalize new tokens
+            based on whether they appear in the text so far, increasing the
+            model's likelihood to talk about new topics.
+
+
+            [See more information about frequency and presence
+            penalties.](/docs/guides/text-generation)
+        seed:
+          type: integer
+          format: int64
+          nullable: true
+          description: >
+            If specified, our system will make a best effort to sample
+            deterministically, such that repeated requests with the same `seed`
+            and parameters should return the same result.
+
+
+            Determinism is not guaranteed, and you should refer to the
+            `system_fingerprint` response parameter to monitor changes in the
+            backend.
+        stop:
+          $ref: "#/components/schemas/StopConfiguration"
+        stream:
+          description: >
+            Whether to stream back partial progress. If set, tokens will be sent
+            as data-only [server-sent
+            events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format)
+            as they become available, with the stream terminated by a `data:
+            [DONE]` message. [Example Python
+            code](https://cookbook.openai.com/examples/how_to_stream_completions).
+          type: boolean
+          nullable: true
+          default: false
+        stream_options:
+          $ref: "#/components/schemas/ChatCompletionStreamOptions"
+        suffix:
+          description: |
+            The suffix that comes after a completion of inserted text.
+
+            This parameter is only supported for `gpt-3.5-turbo-instruct`.
+          default: null
+          nullable: true
+          type: string
+          example: test.
+        temperature:
+          type: number
+          minimum: 0
+          maximum: 2
+          default: 1
+          example: 1
+          nullable: true
+          description: >
+            What sampling temperature to use, between 0 and 2. Higher values
+            like 0.8 will make the output more random, while lower values like
+            0.2 will make it more focused and deterministic.
+
+
+            We generally recommend altering this or `top_p` but not both.
+        top_p:
+          type: number
+          minimum: 0
+          maximum: 1
+          default: 1
+          example: 1
+          nullable: true
+          description: >
+            An alternative to sampling with temperature, called nucleus
+            sampling, where the model considers the results of the tokens with
+            top_p probability mass. So 0.1 means only the tokens comprising the
+            top 10% probability mass are considered.
+
+
+            We generally recommend altering this or `temperature` but not both.
+        user:
+          type: string
+          example: user-1234
+          description: >
+            A unique identifier representing your end-user, which can help
+            OpenAI to monitor and detect abuse. [Learn
+            more](/docs/guides/safety-best-practices#end-user-ids).
+      required:
+        - model
+        - prompt
+    CreateCompletionResponse:
+      type: object
+      description: >
+        Represents a completion response from the API. Note: both the streamed
+        and non-streamed response objects share the same shape (unlike the chat
+        endpoint).
+      properties:
+        id:
+          type: string
+          description: A unique identifier for the completion.
+        choices:
+          type: array
+          description:
+            The list of completion choices the model generated for the input
+            prompt.
+          items:
+            type: object
+            required:
+              - finish_reason
+              - index
+              - logprobs
+              - text
+            properties:
+              finish_reason:
+                type: string
+                description: >
+                  The reason the model stopped generating tokens. This will be
+                  `stop` if the model hit a natural stop point or a provided
+                  stop sequence,
+
+                  `length` if the maximum number of tokens specified in the
+                  request was reached,
+
+                  or `content_filter` if content was omitted due to a flag from
+                  our content filters.
+                enum:
+                  - stop
+                  - length
+                  - content_filter
+              index:
+                type: integer
+              logprobs:
+                type: object
+                nullable: true
+                properties:
+                  text_offset:
+                    type: array
+                    items:
+                      type: integer
+                  token_logprobs:
+                    type: array
+                    items:
+                      type: number
+                  tokens:
+                    type: array
+                    items:
+                      type: string
+                  top_logprobs:
+                    type: array
+                    items:
+                      type: object
+                      additionalProperties:
+                        type: number
+              text:
+                type: string
+        created:
+          type: integer
+          description: The Unix timestamp (in seconds) of when the completion was created.
+        model:
+          type: string
+          description: The model used for completion.
+        system_fingerprint:
+          type: string
+          description: >
+            This fingerprint represents the backend configuration that the model
+            runs with.
+
+
+            Can be used in conjunction with the `seed` request parameter to
+            understand when backend changes have been made that might impact
+            determinism.
+        object:
+          type: string
+          description: The object type, which is always "text_completion"
+          enum:
+            - text_completion
+          x-stainless-const: true
+        usage:
+          $ref: "#/components/schemas/CompletionUsage"
+      required:
+        - id
+        - object
+        - created
+        - model
+        - choices
+      x-oaiMeta:
+        name: The completion object
+        legacy: true
+        example: |
+          {
+            "id": "cmpl-uqkvlQyYK7bGYrRHQ0eXlWi7",
+            "object": "text_completion",
+            "created": 1589478378,
+            "model": "gpt-4-turbo",
+            "choices": [
+              {
+                "text": "\n\nThis is indeed a test",
+                "index": 0,
+                "logprobs": null,
+                "finish_reason": "length"
+              }
+            ],
+            "usage": {
+              "prompt_tokens": 5,
+              "completion_tokens": 7,
+              "total_tokens": 12
+            }
+          }
+    CreateEmbeddingRequest:
+      type: object
+      additionalProperties: false
+      properties:
+        input:
+          description: >
+            Input text to embed, encoded as a string or array of tokens. To
+            embed multiple inputs in a single request, pass an array of strings
+            or array of token arrays. The input must not exceed the max input
+            tokens for the model (8192 tokens for `text-embedding-ada-002`),
+            cannot be an empty string, and any array must be 2048 dimensions or
+            less. [Example Python
+            code](https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken)
+            for counting tokens. Some models may also impose a limit on total
+            number of tokens summed across inputs.
+          example: The quick brown fox jumped over the lazy dog
+          oneOf:
+            - type: string
+              title: string
+              description: The string that will be turned into an embedding.
+              default: ""
+              example: This is a test.
+            - type: array
+              title: array
+              description: The array of strings that will be turned into an embedding.
+              minItems: 1
+              maxItems: 2048
+              items:
+                type: string
+                default: ""
+                example: "['This is a test.']"
+            - type: array
+              title: array
+              description: The array of integers that will be turned into an embedding.
+              minItems: 1
+              maxItems: 2048
+              items:
+                type: integer
+              example: "[1212, 318, 257, 1332, 13]"
+            - type: array
+              title: array
+              description:
+                The array of arrays containing integers that will be turned into an
+                embedding.
+              minItems: 1
+              maxItems: 2048
+              items:
+                type: array
+                minItems: 1
+                items:
+                  type: integer
+              example: "[[1212, 318, 257, 1332, 13]]"
+          x-oaiExpandable: true
+        model:
+          description: >
+            ID of the model to use. You can use the [List
+            models](/docs/api-reference/models/list) API to see all of your
+            available models, or see our [Model overview](/docs/models) for
+            descriptions of them.
+          example: text-embedding-3-small
+          anyOf:
+            - type: string
+            - type: string
+              enum:
+                - text-embedding-ada-002
+                - text-embedding-3-small
+                - text-embedding-3-large
+          x-oaiTypeLabel: string
+        encoding_format:
+          description:
+            The format to return the embeddings in. Can be either `float` or
+            [`base64`](https://pypi.org/project/pybase64/).
+          example: float
+          default: float
+          type: string
+          enum:
+            - float
+            - base64
+        dimensions:
+          description: >
+            The number of dimensions the resulting output embeddings should
+            have. Only supported in `text-embedding-3` and later models.
+          type: integer
+          minimum: 1
+        user:
+          type: string
+          example: user-1234
+          description: >
+            A unique identifier representing your end-user, which can help
+            OpenAI to monitor and detect abuse. [Learn
+            more](/docs/guides/safety-best-practices#end-user-ids).
+      required:
+        - model
+        - input
+    CreateEmbeddingResponse:
+      type: object
+      properties:
+        data:
+          type: array
+          description: The list of embeddings generated by the model.
+          items:
+            $ref: "#/components/schemas/Embedding"
+        model:
+          type: string
+          description: The name of the model used to generate the embedding.
+        object:
+          type: string
+          description: The object type, which is always "list".
+          enum:
+            - list
+          x-stainless-const: true
+        usage:
+          type: object
+          description: The usage information for the request.
+          properties:
+            prompt_tokens:
+              type: integer
+              description: The number of tokens used by the prompt.
+            total_tokens:
+              type: integer
+              description: The total number of tokens used by the request.
+          required:
+            - prompt_tokens
+            - total_tokens
+      required:
+        - object
+        - model
+        - data
+        - usage
+    CreateFileRequest:
+      type: object
+      additionalProperties: false
+      properties:
+        file:
+          description: |
+            The File object (not file name) to be uploaded.
+          type: string
+          format: binary
+        purpose:
+          description: >
+            The intended purpose of the uploaded file. One of: - `assistants`:
+            Used in the Assistants API - `batch`: Used in the Batch API -
+            `fine-tune`: Used for fine-tuning - `vision`: Images used for vision
+            fine-tuning - `user_data`: Flexible file type for any purpose -
+            `evals`: Used for eval data sets
+          type: string
+          enum:
+            - assistants
+            - batch
+            - fine-tune
+            - vision
+            - user_data
+            - evals
+      required:
+        - file
+        - purpose
+    CreateFineTuningCheckpointPermissionRequest:
+      type: object
+      additionalProperties: false
+      properties:
+        project_ids:
+          type: array
+          description: The project identifiers to grant access to.
+          items:
+            type: string
+      required:
+        - project_ids
+    CreateFineTuningJobRequest:
+      type: object
+      properties:
+        model:
+          description: >
+            The name of the model to fine-tune. You can select one of the
+
+            [supported
+            models](/docs/guides/fine-tuning#which-models-can-be-fine-tuned).
+          example: gpt-4o-mini
+          anyOf:
+            - type: string
+            - type: string
+              enum:
+                - babbage-002
+                - davinci-002
+                - gpt-3.5-turbo
+                - gpt-4o-mini
+          x-oaiTypeLabel: string
+        training_file:
+          description: >
+            The ID of an uploaded file that contains training data.
+
+
+            See [upload file](/docs/api-reference/files/create) for how to
+            upload a file.
+
+
+            Your dataset must be formatted as a JSONL file. Additionally, you
+            must upload your file with the purpose `fine-tune`.
+
+
+            The contents of the file should differ depending on if the model
+            uses the [chat](/docs/api-reference/fine-tuning/chat-input),
+            [completions](/docs/api-reference/fine-tuning/completions-input)
+            format, or if the fine-tuning method uses the
+            [preference](/docs/api-reference/fine-tuning/preference-input)
+            format.
+
+
+            See the [fine-tuning guide](/docs/guides/fine-tuning) for more
+            details.
+          type: string
+          example: file-abc123
+        hyperparameters:
+          type: object
+          description: >
+            The hyperparameters used for the fine-tuning job.
+
+            This value is now deprecated in favor of `method`, and should be
+            passed in under the `method` parameter.
+          properties:
+            batch_size:
+              description: >
+                Number of examples in each batch. A larger batch size means that
+                model parameters
+
+                are updated less frequently, but with lower variance.
+              oneOf:
+                - type: string
+                  enum:
+                    - auto
+                  x-stainless-const: true
+                - type: integer
+                  minimum: 1
+                  maximum: 256
+              default: auto
+            learning_rate_multiplier:
+              description: >
+                Scaling factor for the learning rate. A smaller learning rate
+                may be useful to avoid
+
+                overfitting.
+              oneOf:
+                - type: string
+                  enum:
+                    - auto
+                  x-stainless-const: true
+                - type: number
+                  minimum: 0
+                  exclusiveMinimum: true
+              default: auto
+            n_epochs:
+              description: >
+                The number of epochs to train the model for. An epoch refers to
+                one full cycle
+
+                through the training dataset.
+              oneOf:
+                - type: string
+                  enum:
+                    - auto
+                  x-stainless-const: true
+                - type: integer
+                  minimum: 1
+                  maximum: 50
+              default: auto
+          deprecated: true
+        suffix:
+          description: >
+            A string of up to 64 characters that will be added to your
+            fine-tuned model name.
+
+
+            For example, a `suffix` of "custom-model-name" would produce a model
+            name like `ft:gpt-4o-mini:openai:custom-model-name:7p4lURel`.
+          type: string
+          minLength: 1
+          maxLength: 64
+          default: null
+          nullable: true
+        validation_file:
+          description: >
+            The ID of an uploaded file that contains validation data.
+
+
+            If you provide this file, the data is used to generate validation
+
+            metrics periodically during fine-tuning. These metrics can be viewed
+            in
+
+            the fine-tuning results file.
+
+            The same data should not be present in both train and validation
+            files.
+
+
+            Your dataset must be formatted as a JSONL file. You must upload your
+            file with the purpose `fine-tune`.
+
+
+            See the [fine-tuning guide](/docs/guides/fine-tuning) for more
+            details.
+          type: string
+          nullable: true
+          example: file-abc123
+        integrations:
+          type: array
+          description: A list of integrations to enable for your fine-tuning job.
+          nullable: true
+          items:
+            type: object
+            required:
+              - type
+              - wandb
+            properties:
+              type:
+                description: >
+                  The type of integration to enable. Currently, only "wandb"
+                  (Weights and Biases) is supported.
+                oneOf:
+                  - type: string
+                    enum:
+                      - wandb
+                    x-stainless-const: true
+              wandb:
+                type: object
+                description: >
+                  The settings for your integration with Weights and Biases.
+                  This payload specifies the project that
+
+                  metrics will be sent to. Optionally, you can set an explicit
+                  display name for your run, add tags
+
+                  to your run, and set a default entity (team, username, etc) to
+                  be associated with your run.
+                required:
+                  - project
+                properties:
+                  project:
+                    description: >
+                      The name of the project that the new run will be created
+                      under.
+                    type: string
+                    example: my-wandb-project
+                  name:
+                    description: >
+                      A display name to set for the run. If not set, we will use
+                      the Job ID as the name.
+                    nullable: true
+                    type: string
+                  entity:
+                    description: >
+                      The entity to use for the run. This allows you to set the
+                      team or username of the WandB user that you would
+
+                      like associated with the run. If not set, the default
+                      entity for the registered WandB API key is used.
+                    nullable: true
+                    type: string
+                  tags:
+                    description: >
+                      A list of tags to be attached to the newly created run.
+                      These tags are passed through directly to WandB. Some
+
+                      default tags are generated by OpenAI: "openai/finetune",
+                      "openai/{base-model}", "openai/{ftjob-abcdef}".
+                    type: array
+                    items:
+                      type: string
+                      example: custom-tag
+        seed:
+          description: >
+            The seed controls the reproducibility of the job. Passing in the
+            same seed and job parameters should produce the same results, but
+            may differ in rare cases.
+
+            If a seed is not specified, one will be generated for you.
+          type: integer
+          nullable: true
+          minimum: 0
+          maximum: 2147483647
+          example: 42
+        method:
+          $ref: "#/components/schemas/FineTuneMethod"
+        metadata:
+          $ref: "#/components/schemas/Metadata"
+      required:
+        - model
+        - training_file
+    CreateImageEditRequest:
+      type: object
+      properties:
+        image:
+          description:
+            The image to edit. Must be a valid PNG file, less than 4MB, and
+            square. If mask is not provided, image must have transparency, which
+            will be used as the mask.
+          type: string
+          format: binary
+        prompt:
+          description:
+            A text description of the desired image(s). The maximum length is
+            1000 characters.
+          type: string
+          example: A cute baby sea otter wearing a beret
+        mask:
+          description:
+            An additional image whose fully transparent areas (e.g. where alpha
+            is zero) indicate where `image` should be edited. Must be a valid
+            PNG file, less than 4MB, and have the same dimensions as `image`.
+          type: string
+          format: binary
+        model:
+          anyOf:
+            - type: string
+            - type: string
+              enum:
+                - dall-e-2
+              x-stainless-const: true
+          x-oaiTypeLabel: string
+          default: dall-e-2
+          example: dall-e-2
+          nullable: true
+          description:
+            The model to use for image generation. Only `dall-e-2` is supported
+            at this time.
+        n:
+          type: integer
+          minimum: 1
+          maximum: 10
+          default: 1
+          example: 1
+          nullable: true
+          description: The number of images to generate. Must be between 1 and 10.
+        size:
+          type: string
+          enum:
+            - 256x256
+            - 512x512
+            - 1024x1024
+          default: 1024x1024
+          example: 1024x1024
+          nullable: true
+          description:
+            The size of the generated images. Must be one of `256x256`,
+            `512x512`, or `1024x1024`.
+        response_format:
+          type: string
+          enum:
+            - url
+            - b64_json
+          default: url
+          example: url
+          nullable: true
+          description:
+            The format in which the generated images are returned. Must be one
+            of `url` or `b64_json`. URLs are only valid for 60 minutes after the
+            image has been generated.
+        user:
+          type: string
+          example: user-1234
+          description: >
+            A unique identifier representing your end-user, which can help
+            OpenAI to monitor and detect abuse. [Learn
+            more](/docs/guides/safety-best-practices#end-user-ids).
+      required:
+        - prompt
+        - image
+    CreateImageRequest:
+      type: object
+      properties:
+        prompt:
+          description:
+            A text description of the desired image(s). The maximum length is
+            1000 characters for `dall-e-2` and 4000 characters for `dall-e-3`.
+          type: string
+          example: A cute baby sea otter
+        model:
+          anyOf:
+            - type: string
+            - type: string
+              enum:
+                - dall-e-2
+                - dall-e-3
+          x-oaiTypeLabel: string
+          default: dall-e-2
+          example: dall-e-3
+          nullable: true
+          description: The model to use for image generation.
+        n:
+          type: integer
+          minimum: 1
+          maximum: 10
+          default: 1
+          example: 1
+          nullable: true
+          description:
+            The number of images to generate. Must be between 1 and 10. For
+            `dall-e-3`, only `n=1` is supported.
+        quality:
+          type: string
+          enum:
+            - standard
+            - hd
+          default: standard
+          example: standard
+          description:
+            The quality of the image that will be generated. `hd` creates
+            images with finer details and greater consistency across the image.
+            This param is only supported for `dall-e-3`.
+        response_format:
+          type: string
+          enum:
+            - url
+            - b64_json
+          default: url
+          example: url
+          nullable: true
+          description:
+            The format in which the generated images are returned. Must be one
+            of `url` or `b64_json`. URLs are only valid for 60 minutes after the
+            image has been generated.
+        size:
+          type: string
+          enum:
+            - 256x256
+            - 512x512
+            - 1024x1024
+            - 1792x1024
+            - 1024x1792
+          default: 1024x1024
+          example: 1024x1024
+          nullable: true
+          description:
+            The size of the generated images. Must be one of `256x256`,
+            `512x512`, or `1024x1024` for `dall-e-2`. Must be one of
+            `1024x1024`, `1792x1024`, or `1024x1792` for `dall-e-3` models.
+        style:
+          type: string
+          enum:
+            - vivid
+            - natural
+          default: vivid
+          example: vivid
+          nullable: true
+          description:
+            The style of the generated images. Must be one of `vivid` or
+            `natural`. Vivid causes the model to lean towards generating
+            hyper-real and dramatic images. Natural causes the model to produce
+            more natural, less hyper-real looking images. This param is only
+            supported for `dall-e-3`.
+        user:
+          type: string
+          example: user-1234
+          description: >
+            A unique identifier representing your end-user, which can help
+            OpenAI to monitor and detect abuse. [Learn
+            more](/docs/guides/safety-best-practices#end-user-ids).
+      required:
+        - prompt
+    CreateImageVariationRequest:
+      type: object
+      properties:
+        image:
+          description:
+            The image to use as the basis for the variation(s). Must be a valid
+            PNG file, less than 4MB, and square.
+          type: string
+          format: binary
+        model:
+          anyOf:
+            - type: string
+            - type: string
+              enum:
+                - dall-e-2
+              x-stainless-const: true
+          x-oaiTypeLabel: string
+          default: dall-e-2
+          example: dall-e-2
+          nullable: true
+          description:
+            The model to use for image generation. Only `dall-e-2` is supported
+            at this time.
+        n:
+          type: integer
+          minimum: 1
+          maximum: 10
+          default: 1
+          example: 1
+          nullable: true
+          description:
+            The number of images to generate. Must be between 1 and 10. For
+            `dall-e-3`, only `n=1` is supported.
+        response_format:
+          type: string
+          enum:
+            - url
+            - b64_json
+          default: url
+          example: url
+          nullable: true
+          description:
+            The format in which the generated images are returned. Must be one
+            of `url` or `b64_json`. URLs are only valid for 60 minutes after the
+            image has been generated.
+        size:
+          type: string
+          enum:
+            - 256x256
+            - 512x512
+            - 1024x1024
+          default: 1024x1024
+          example: 1024x1024
+          nullable: true
+          description:
+            The size of the generated images. Must be one of `256x256`,
+            `512x512`, or `1024x1024`.
+        user:
+          type: string
+          example: user-1234
+          description: >
+            A unique identifier representing your end-user, which can help
+            OpenAI to monitor and detect abuse. [Learn
+            more](/docs/guides/safety-best-practices#end-user-ids).
+      required:
+        - image
+    CreateMessageRequest:
+      type: object
+      additionalProperties: false
+      required:
+        - role
+        - content
+      properties:
+        role:
+          type: string
+          enum:
+            - user
+            - assistant
+          description: >
+            The role of the entity that is creating the message. Allowed values
+            include:
+
+            - `user`: Indicates the message is sent by an actual user and should
+            be used in most cases to represent user-generated messages.
+
+            - `assistant`: Indicates the message is generated by the assistant.
+            Use this value to insert messages from the assistant into the
+            conversation.
+        content:
+          oneOf:
+            - type: string
+              description: The text contents of the message.
+              title: Text content
+            - type: array
+              description:
+                An array of content parts with a defined type, each can be of type
+                `text` or images can be passed with `image_url` or `image_file`.
+                Image types are only supported on [Vision-compatible
+                models](/docs/models).
+              title: Array of content parts
+              items:
+                oneOf:
+                  - $ref: "#/components/schemas/MessageContentImageFileObject"
+                  - $ref: "#/components/schemas/MessageContentImageUrlObject"
+                  - $ref: "#/components/schemas/MessageRequestContentTextObject"
+                x-oaiExpandable: true
+              minItems: 1
+          x-oaiExpandable: true
+        attachments:
+          type: array
+          items:
+            type: object
+            properties:
+              file_id:
+                type: string
+                description: The ID of the file to attach to the message.
+              tools:
+                description: The tools to add this file to.
+                type: array
+                items:
+                  oneOf:
+                    - $ref: "#/components/schemas/AssistantToolsCode"
+                    - $ref: "#/components/schemas/AssistantToolsFileSearchTypeOnly"
+                  x-oaiExpandable: true
+          description:
+            A list of files attached to the message, and the tools they should
+            be added to.
+          required:
+            - file_id
+            - tools
+          nullable: true
+        metadata:
+          $ref: "#/components/schemas/Metadata"
+    CreateModelResponseProperties:
+      allOf:
+        - $ref: "#/components/schemas/ModelResponseProperties"
+    CreateModerationRequest:
+      type: object
+      properties:
+        input:
+          description: >
+            Input (or inputs) to classify. Can be a single string, an array of
+            strings, or
+
+            an array of multi-modal input objects similar to other models.
+          oneOf:
+            - type: string
+              description: A string of text to classify for moderation.
+              default: ""
+              example: I want to kill them.
+            - type: array
+              description: An array of strings to classify for moderation.
+              items:
+                type: string
+                default: ""
+                example: I want to kill them.
+            - type: array
+              description: An array of multi-modal inputs to the moderation model.
+              items:
+                x-oaiExpandable: true
+                oneOf:
+                  - type: object
+                    description: An object describing an image to classify.
+                    properties:
+                      type:
+                        description: Always `image_url`.
+                        type: string
+                        enum:
+                          - image_url
+                        x-stainless-const: true
+                      image_url:
+                        type: object
+                        description:
+                          Contains either an image URL or a data URL for a base64 encoded
+                          image.
+                        properties:
+                          url:
+                            type: string
+                            description: Either a URL of the image or the base64 encoded image data.
+                            format: uri
+                            example: https://example.com/image.jpg
+                        required:
+                          - url
+                    required:
+                      - type
+                      - image_url
+                  - type: object
+                    description: An object describing text to classify.
+                    properties:
+                      type:
+                        description: Always `text`.
+                        type: string
+                        enum:
+                          - text
+                        x-stainless-const: true
+                      text:
+                        description: A string of text to classify.
+                        type: string
+                        example: I want to kill them
+                    required:
+                      - type
+                      - text
+          x-oaiExpandable: true
+        model:
+          description: |
+            The content moderation model you would like to use. Learn more in
+            [the moderation guide](/docs/guides/moderation), and learn about
+            available models [here](/docs/models#moderation).
+          nullable: false
+          default: omni-moderation-latest
+          example: omni-moderation-2024-09-26
+          anyOf:
+            - type: string
+            - type: string
+              enum:
+                - omni-moderation-latest
+                - omni-moderation-2024-09-26
+                - text-moderation-latest
+                - text-moderation-stable
+          x-oaiTypeLabel: string
+      required:
+        - input
+    CreateModerationResponse:
+      type: object
+      description: Represents if a given text input is potentially harmful.
+      properties:
+        id:
+          type: string
+          description: The unique identifier for the moderation request.
+        model:
+          type: string
+          description: The model used to generate the moderation results.
+        results:
+          type: array
+          description: A list of moderation objects.
+          items:
+            type: object
+            properties:
+              flagged:
+                type: boolean
+                description: Whether any of the below categories are flagged.
+              categories:
+                type: object
+                description: A list of the categories, and whether they are flagged or not.
+                properties:
+                  hate:
+                    type: boolean
+                    description:
+                      Content that expresses, incites, or promotes hate based on race,
+                      gender, ethnicity, religion, nationality, sexual
+                      orientation, disability status, or caste. Hateful content
+                      aimed at non-protected groups (e.g., chess players) is
+                      harassment.
+                  hate/threatening:
+                    type: boolean
+                    description:
+                      Hateful content that also includes violence or serious harm towards
+                      the targeted group based on race, gender, ethnicity,
+                      religion, nationality, sexual orientation, disability
+                      status, or caste.
+                  harassment:
+                    type: boolean
+                    description:
+                      Content that expresses, incites, or promotes harassing language
+                      towards any target.
+                  harassment/threatening:
+                    type: boolean
+                    description:
+                      Harassment content that also includes violence or serious harm
+                      towards any target.
+                  illicit:
+                    type: boolean
+                    nullable: true
+                    description:
+                      Content that includes instructions or advice that facilitate the
+                      planning or execution of wrongdoing, or that gives advice
+                      or instruction on how to commit illicit acts. For example,
+                      "how to shoplift" would fit this category.
+                  illicit/violent:
+                    type: boolean
+                    nullable: true
+                    description:
+                      Content that includes instructions or advice that facilitate the
+                      planning or execution of wrongdoing that also includes
+                      violence, or that gives advice or instruction on the
+                      procurement of any weapon.
+                  self-harm:
+                    type: boolean
+                    description:
+                      Content that promotes, encourages, or depicts acts of self-harm,
+                      such as suicide, cutting, and eating disorders.
+                  self-harm/intent:
+                    type: boolean
+                    description:
+                      Content where the speaker expresses that they are engaging or
+                      intend to engage in acts of self-harm, such as suicide,
+                      cutting, and eating disorders.
+                  self-harm/instructions:
+                    type: boolean
+                    description:
+                      Content that encourages performing acts of self-harm, such as
+                      suicide, cutting, and eating disorders, or that gives
+                      instructions or advice on how to commit such acts.
+                  sexual:
+                    type: boolean
+                    description:
+                      Content meant to arouse sexual excitement, such as the description
+                      of sexual activity, or that promotes sexual services
+                      (excluding sex education and wellness).
+                  sexual/minors:
+                    type: boolean
+                    description:
+                      Sexual content that includes an individual who is under 18 years
+                      old.
+                  violence:
+                    type: boolean
+                    description: Content that depicts death, violence, or physical injury.
+                  violence/graphic:
+                    type: boolean
+                    description:
+                      Content that depicts death, violence, or physical injury in graphic
+                      detail.
+                required:
+                  - hate
+                  - hate/threatening
+                  - harassment
+                  - harassment/threatening
+                  - illicit
+                  - illicit/violent
+                  - self-harm
+                  - self-harm/intent
+                  - self-harm/instructions
+                  - sexual
+                  - sexual/minors
+                  - violence
+                  - violence/graphic
+              category_scores:
+                type: object
+                description:
+                  A list of the categories along with their scores as predicted by
+                  model.
+                properties:
+                  hate:
+                    type: number
+                    description: The score for the category 'hate'.
+                  hate/threatening:
+                    type: number
+                    description: The score for the category 'hate/threatening'.
+                  harassment:
+                    type: number
+                    description: The score for the category 'harassment'.
+                  harassment/threatening:
+                    type: number
+                    description: The score for the category 'harassment/threatening'.
+                  illicit:
+                    type: number
+                    description: The score for the category 'illicit'.
+                  illicit/violent:
+                    type: number
+                    description: The score for the category 'illicit/violent'.
+                  self-harm:
+                    type: number
+                    description: The score for the category 'self-harm'.
+                  self-harm/intent:
+                    type: number
+                    description: The score for the category 'self-harm/intent'.
+                  self-harm/instructions:
+                    type: number
+                    description: The score for the category 'self-harm/instructions'.
+                  sexual:
+                    type: number
+                    description: The score for the category 'sexual'.
+                  sexual/minors:
+                    type: number
+                    description: The score for the category 'sexual/minors'.
+                  violence:
+                    type: number
+                    description: The score for the category 'violence'.
+                  violence/graphic:
+                    type: number
+                    description: The score for the category 'violence/graphic'.
+                required:
+                  - hate
+                  - hate/threatening
+                  - harassment
+                  - harassment/threatening
+                  - illicit
+                  - illicit/violent
+                  - self-harm
+                  - self-harm/intent
+                  - self-harm/instructions
+                  - sexual
+                  - sexual/minors
+                  - violence
+                  - violence/graphic
+              category_applied_input_types:
+                type: object
+                description:
+                  A list of the categories along with the input type(s) that the
+                  score applies to.
+                properties:
+                  hate:
+                    type: array
+                    description: The applied input type(s) for the category 'hate'.
+                    items:
+                      type: string
+                      enum:
+                        - text
+                      x-stainless-const: true
+                  hate/threatening:
+                    type: array
+                    description: The applied input type(s) for the category 'hate/threatening'.
+                    items:
+                      type: string
+                      enum:
+                        - text
+                      x-stainless-const: true
+                  harassment:
+                    type: array
+                    description: The applied input type(s) for the category 'harassment'.
+                    items:
+                      type: string
+                      enum:
+                        - text
+                      x-stainless-const: true
+                  harassment/threatening:
+                    type: array
+                    description: The applied input type(s) for the category
+                      'harassment/threatening'.
+                    items:
+                      type: string
+                      enum:
+                        - text
+                      x-stainless-const: true
+                  illicit:
+                    type: array
+                    description: The applied input type(s) for the category 'illicit'.
+                    items:
+                      type: string
+                      enum:
+                        - text
+                      x-stainless-const: true
+                  illicit/violent:
+                    type: array
+                    description: The applied input type(s) for the category 'illicit/violent'.
+                    items:
+                      type: string
+                      enum:
+                        - text
+                      x-stainless-const: true
+                  self-harm:
+                    type: array
+                    description: The applied input type(s) for the category 'self-harm'.
+                    items:
+                      type: string
+                      enum:
+                        - text
+                        - image
+                  self-harm/intent:
+                    type: array
+                    description: The applied input type(s) for the category 'self-harm/intent'.
+                    items:
+                      type: string
+                      enum:
+                        - text
+                        - image
+                  self-harm/instructions:
+                    type: array
+                    description: The applied input type(s) for the category
+                      'self-harm/instructions'.
+                    items:
+                      type: string
+                      enum:
+                        - text
+                        - image
+                  sexual:
+                    type: array
+                    description: The applied input type(s) for the category 'sexual'.
+                    items:
+                      type: string
+                      enum:
+                        - text
+                        - image
+                  sexual/minors:
+                    type: array
+                    description: The applied input type(s) for the category 'sexual/minors'.
+                    items:
+                      type: string
+                      enum:
+                        - text
+                      x-stainless-const: true
+                  violence:
+                    type: array
+                    description: The applied input type(s) for the category 'violence'.
+                    items:
+                      type: string
+                      enum:
+                        - text
+                        - image
+                  violence/graphic:
+                    type: array
+                    description: The applied input type(s) for the category 'violence/graphic'.
+                    items:
+                      type: string
+                      enum:
+                        - text
+                        - image
+                required:
+                  - hate
+                  - hate/threatening
+                  - harassment
+                  - harassment/threatening
+                  - illicit
+                  - illicit/violent
+                  - self-harm
+                  - self-harm/intent
+                  - self-harm/instructions
+                  - sexual
+                  - sexual/minors
+                  - violence
+                  - violence/graphic
+            required:
+              - flagged
+              - categories
+              - category_scores
+              - category_applied_input_types
+      required:
+        - id
+        - model
+        - results
+      x-oaiMeta:
+        name: The moderation object
+        example: |
+          {
+            "id": "modr-0d9740456c391e43c445bf0f010940c7",
+            "model": "omni-moderation-latest",
+            "results": [
+              {
+                "flagged": true,
+                "categories": {
+                  "harassment": true,
+                  "harassment/threatening": true,
+                  "sexual": false,
+                  "hate": false,
+                  "hate/threatening": false,
+                  "illicit": false,
+                  "illicit/violent": false,
+                  "self-harm/intent": false,
+                  "self-harm/instructions": false,
+                  "self-harm": false,
+                  "sexual/minors": false,
+                  "violence": true,
+                  "violence/graphic": true
+                },
+                "category_scores": {
+                  "harassment": 0.8189693396524255,
+                  "harassment/threatening": 0.804985420696006,
+                  "sexual": 1.573112165348997e-6,
+                  "hate": 0.007562942636942845,
+                  "hate/threatening": 0.004208854591835476,
+                  "illicit": 0.030535955153511665,
+                  "illicit/violent": 0.008925306722380033,
+                  "self-harm/intent": 0.00023023930975076432,
+                  "self-harm/instructions": 0.0002293869201073356,
+                  "self-harm": 0.012598046106750154,
+                  "sexual/minors": 2.212566909570261e-8,
+                  "violence": 0.9999992735124786,
+                  "violence/graphic": 0.843064871157054
+                },
+                "category_applied_input_types": {
+                  "harassment": [
+                    "text"
+                  ],
+                  "harassment/threatening": [
+                    "text"
+                  ],
+                  "sexual": [
+                    "text",
+                    "image"
+                  ],
+                  "hate": [
+                    "text"
+                  ],
+                  "hate/threatening": [
+                    "text"
+                  ],
+                  "illicit": [
+                    "text"
+                  ],
+                  "illicit/violent": [
+                    "text"
+                  ],
+                  "self-harm/intent": [
+                    "text",
+                    "image"
+                  ],
+                  "self-harm/instructions": [
+                    "text",
+                    "image"
+                  ],
+                  "self-harm": [
+                    "text",
+                    "image"
+                  ],
+                  "sexual/minors": [
+                    "text"
+                  ],
+                  "violence": [
+                    "text",
+                    "image"
+                  ],
+                  "violence/graphic": [
+                    "text",
+                    "image"
+                  ]
+                }
+              }
+            ]
+          }
+    CreateResponse:
+      allOf:
+        - $ref: "#/components/schemas/CreateModelResponseProperties"
+        - $ref: "#/components/schemas/ResponseProperties"
+        - type: object
+          properties:
+            input:
+              description: >
+                Text, image, or file inputs to the model, used to generate a
+                response.
+
+
+                Learn more:
+
+                - [Text inputs and outputs](/docs/guides/text)
+
+                - [Image inputs](/docs/guides/images)
+
+                - [File inputs](/docs/guides/pdf-files)
+
+                - [Conversation state](/docs/guides/conversation-state)
+
+                - [Function calling](/docs/guides/function-calling)
+              x-oaiExpandable: true
+              oneOf:
+                - type: string
+                  title: Text input
+                  description: >
+                    A text input to the model, equivalent to a text input with
+                    the 
+
+                    `user` role.
+                - type: array
+                  title: Input item list
+                  description: |
+                    A list of one or many input items to the model, containing 
+                    different content types.
+                  items:
+                    x-oaiExpandable: true
+                    $ref: "#/components/schemas/InputItem"
+            include:
+              type: array
+              description: >
+                Specify additional output data to include in the model response.
+                Currently
+
+                supported values are:
+
+                - `file_search_call.results`: Include the search results of
+                  the file search tool call.
+                - `message.input_image.image_url`: Include image urls from the
+                input message.
+
+                - `computer_call_output.output.image_url`: Include image urls
+                from the computer call output.
+              items:
+                x-oaiExpandable: true
+                $ref: "#/components/schemas/Includable"
+              nullable: true
+            parallel_tool_calls:
+              type: boolean
+              description: |
+                Whether to allow the model to run tool calls in parallel.
+              default: true
+              nullable: true
+            store:
+              type: boolean
+              description: >
+                Whether to store the generated model response for later
+                retrieval via
+
+                API.
+              default: true
+              nullable: true
+            stream:
+              description: >
+                If set to true, the model response data will be streamed to the
+                client
+
+                as it is generated using [server-sent
+                events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format).
+
+                See the [Streaming section
+                below](/docs/api-reference/responses-streaming)
+
+                for more information.
+              type: boolean
+              nullable: true
+              default: false
+          required:
+            - model
+            - input
+    CreateRunRequest:
+      type: object
+      additionalProperties: false
+      properties:
+        assistant_id:
+          description:
+            The ID of the [assistant](/docs/api-reference/assistants) to use to
+            execute this run.
+          type: string
+        model:
+          description:
+            The ID of the [Model](/docs/api-reference/models) to be used to
+            execute this run. If a value is provided here, it will override the
+            model associated with the assistant. If not, the model associated
+            with the assistant will be used.
+          example: gpt-4o
+          anyOf:
+            - type: string
+            - $ref: "#/components/schemas/AssistantSupportedModels"
+          x-oaiTypeLabel: string
+          nullable: true
+        reasoning_effort:
+          $ref: "#/components/schemas/ReasoningEffort"
+        instructions:
+          description: Overrides the
+            [instructions](/docs/api-reference/assistants/createAssistant) of
+            the assistant. This is useful for modifying the behavior on a
+            per-run basis.
+          type: string
+          nullable: true
+        additional_instructions:
+          description:
+            Appends additional instructions at the end of the instructions for
+            the run. This is useful for modifying the behavior on a per-run
+            basis without overriding other instructions.
+          type: string
+          nullable: true
+        additional_messages:
+          description: Adds additional messages to the thread before creating the run.
+          type: array
+          items:
+            $ref: "#/components/schemas/CreateMessageRequest"
+          nullable: true
+        tools:
+          description:
+            Override the tools the assistant can use for this run. This is
+            useful for modifying the behavior on a per-run basis.
+          nullable: true
+          type: array
+          maxItems: 20
+          items:
+            oneOf:
+              - $ref: "#/components/schemas/AssistantToolsCode"
+              - $ref: "#/components/schemas/AssistantToolsFileSearch"
+              - $ref: "#/components/schemas/AssistantToolsFunction"
+            x-oaiExpandable: true
+        metadata:
+          $ref: "#/components/schemas/Metadata"
+        temperature:
+          type: number
+          minimum: 0
+          maximum: 2
+          default: 1
+          example: 1
+          nullable: true
+          description: >
+            What sampling temperature to use, between 0 and 2. Higher values
+            like 0.8 will make the output more random, while lower values like
+            0.2 will make it more focused and deterministic.
+        top_p:
+          type: number
+          minimum: 0
+          maximum: 1
+          default: 1
+          example: 1
+          nullable: true
+          description: >
+            An alternative to sampling with temperature, called nucleus
+            sampling, where the model considers the results of the tokens with
+            top_p probability mass. So 0.1 means only the tokens comprising the
+            top 10% probability mass are considered.
+
+
+            We generally recommend altering this or temperature but not both.
+        stream:
+          type: boolean
+          nullable: true
+          description: >
+            If `true`, returns a stream of events that happen during the Run as
+            server-sent events, terminating when the Run enters a terminal state
+            with a `data: [DONE]` message.
+        max_prompt_tokens:
+          type: integer
+          nullable: true
+          description: >
+            The maximum number of prompt tokens that may be used over the course
+            of the run. The run will make a best effort to use only the number
+            of prompt tokens specified, across multiple turns of the run. If the
+            run exceeds the number of prompt tokens specified, the run will end
+            with status `incomplete`. See `incomplete_details` for more info.
+          minimum: 256
+        max_completion_tokens:
+          type: integer
+          nullable: true
+          description: >
+            The maximum number of completion tokens that may be used over the
+            course of the run. The run will make a best effort to use only the
+            number of completion tokens specified, across multiple turns of the
+            run. If the run exceeds the number of completion tokens specified,
+            the run will end with status `incomplete`. See `incomplete_details`
+            for more info.
+          minimum: 256
+        truncation_strategy:
+          allOf:
+            - $ref: "#/components/schemas/TruncationObject"
+            - nullable: true
+        tool_choice:
+          allOf:
+            - $ref: "#/components/schemas/AssistantsApiToolChoiceOption"
+            - nullable: true
+        parallel_tool_calls:
+          $ref: "#/components/schemas/ParallelToolCalls"
+        response_format:
+          $ref: "#/components/schemas/AssistantsApiResponseFormatOption"
+          nullable: true
+      required:
+        - assistant_id
+    CreateSpeechRequest:
+      type: object
+      additionalProperties: false
+      properties:
+        model:
+          description: >
+            One of the available [TTS models](/docs/models#tts): `tts-1`,
+            `tts-1-hd` or `gpt-4o-mini-tts`.
+          anyOf:
+            - type: string
+            - type: string
+              enum:
+                - tts-1
+                - tts-1-hd
+                - gpt-4o-mini-tts
+          x-oaiTypeLabel: string
+        input:
+          type: string
+          description:
+            The text to generate audio for. The maximum length is 4096
+            characters.
+          maxLength: 4096
+        instructions:
+          type: string
+          description: Control the voice of your generated audio with additional
+            instructions. Does not work with `tts-1` or `tts-1-hd`.
+          maxLength: 4096
+        voice:
+          description:
+            The voice to use when generating the audio. Supported voices are
+            `alloy`, `ash`, `ballad`, `coral`, `echo`, `fable`, `onyx`, `nova`,
+            `sage`, `shimmer`, and `verse`. Previews of the voices are available
+            in the [Text to speech
+            guide](/docs/guides/text-to-speech#voice-options).
+          $ref: "#/components/schemas/VoiceIdsShared"
+        response_format:
+          description:
+            The format to audio in. Supported formats are `mp3`, `opus`, `aac`,
+            `flac`, `wav`, and `pcm`.
+          default: mp3
+          type: string
+          enum:
+            - mp3
+            - opus
+            - aac
+            - flac
+            - wav
+            - pcm
+        speed:
+          description:
+            The speed of the generated audio. Select a value from `0.25` to
+            `4.0`. `1.0` is the default.
+          type: number
+          default: 1
+          minimum: 0.25
+          maximum: 4
+      required:
+        - model
+        - input
+        - voice
+    CreateThreadAndRunRequest:
+      type: object
+      additionalProperties: false
+      properties:
+        assistant_id:
+          description:
+            The ID of the [assistant](/docs/api-reference/assistants) to use to
+            execute this run.
+          type: string
+        thread:
+          $ref: "#/components/schemas/CreateThreadRequest"
+        model:
+          description:
+            The ID of the [Model](/docs/api-reference/models) to be used to
+            execute this run. If a value is provided here, it will override the
+            model associated with the assistant. If not, the model associated
+            with the assistant will be used.
+          example: gpt-4o
+          anyOf:
+            - type: string
+            - type: string
+              enum:
+                - gpt-4o
+                - gpt-4o-2024-11-20
+                - gpt-4o-2024-08-06
+                - gpt-4o-2024-05-13
+                - gpt-4o-mini
+                - gpt-4o-mini-2024-07-18
+                - gpt-4.5-preview
+                - gpt-4.5-preview-2025-02-27
+                - gpt-4-turbo
+                - gpt-4-turbo-2024-04-09
+                - gpt-4-0125-preview
+                - gpt-4-turbo-preview
+                - gpt-4-1106-preview
+                - gpt-4-vision-preview
+                - gpt-4
+                - gpt-4-0314
+                - gpt-4-0613
+                - gpt-4-32k
+                - gpt-4-32k-0314
+                - gpt-4-32k-0613
+                - gpt-3.5-turbo
+                - gpt-3.5-turbo-16k
+                - gpt-3.5-turbo-0613
+                - gpt-3.5-turbo-1106
+                - gpt-3.5-turbo-0125
+                - gpt-3.5-turbo-16k-0613
+          x-oaiTypeLabel: string
+          nullable: true
+        instructions:
+          description:
+            Override the default system message of the assistant. This is
+            useful for modifying the behavior on a per-run basis.
+          type: string
+          nullable: true
+        tools:
+          description:
+            Override the tools the assistant can use for this run. This is
+            useful for modifying the behavior on a per-run basis.
+          nullable: true
+          type: array
+          maxItems: 20
+          items:
+            oneOf:
+              - $ref: "#/components/schemas/AssistantToolsCode"
+              - $ref: "#/components/schemas/AssistantToolsFileSearch"
+              - $ref: "#/components/schemas/AssistantToolsFunction"
+        tool_resources:
+          type: object
+          description: >
+            A set of resources that are used by the assistant's tools. The
+            resources are specific to the type of tool. For example, the
+            `code_interpreter` tool requires a list of file IDs, while the
+            `file_search` tool requires a list of vector store IDs.
+          properties:
+            code_interpreter:
+              type: object
+              properties:
+                file_ids:
+                  type: array
+                  description: >
+                    A list of [file](/docs/api-reference/files) IDs made
+                    available to the `code_interpreter` tool. There can be a
+                    maximum of 20 files associated with the tool.
+                  default: []
+                  maxItems: 20
+                  items:
+                    type: string
+            file_search:
+              type: object
+              properties:
+                vector_store_ids:
+                  type: array
+                  description: >
+                    The ID of the [vector
+                    store](/docs/api-reference/vector-stores/object) attached to
+                    this assistant. There can be a maximum of 1 vector store
+                    attached to the assistant.
+                  maxItems: 1
+                  items:
+                    type: string
+          nullable: true
+        metadata:
+          $ref: "#/components/schemas/Metadata"
+        temperature:
+          type: number
+          minimum: 0
+          maximum: 2
+          default: 1
+          example: 1
+          nullable: true
+          description: >
+            What sampling temperature to use, between 0 and 2. Higher values
+            like 0.8 will make the output more random, while lower values like
+            0.2 will make it more focused and deterministic.
+        top_p:
+          type: number
+          minimum: 0
+          maximum: 1
+          default: 1
+          example: 1
+          nullable: true
+          description: >
+            An alternative to sampling with temperature, called nucleus
+            sampling, where the model considers the results of the tokens with
+            top_p probability mass. So 0.1 means only the tokens comprising the
+            top 10% probability mass are considered.
+
+
+            We generally recommend altering this or temperature but not both.
+        stream:
+          type: boolean
+          nullable: true
+          description: >
+            If `true`, returns a stream of events that happen during the Run as
+            server-sent events, terminating when the Run enters a terminal state
+            with a `data: [DONE]` message.
+        max_prompt_tokens:
+          type: integer
+          nullable: true
+          description: >
+            The maximum number of prompt tokens that may be used over the course
+            of the run. The run will make a best effort to use only the number
+            of prompt tokens specified, across multiple turns of the run. If the
+            run exceeds the number of prompt tokens specified, the run will end
+            with status `incomplete`. See `incomplete_details` for more info.
+          minimum: 256
+        max_completion_tokens:
+          type: integer
+          nullable: true
+          description: >
+            The maximum number of completion tokens that may be used over the
+            course of the run. The run will make a best effort to use only the
+            number of completion tokens specified, across multiple turns of the
+            run. If the run exceeds the number of completion tokens specified,
+            the run will end with status `incomplete`. See `incomplete_details`
+            for more info.
+          minimum: 256
+        truncation_strategy:
+          allOf:
+            - $ref: "#/components/schemas/TruncationObject"
+            - nullable: true
+        tool_choice:
+          allOf:
+            - $ref: "#/components/schemas/AssistantsApiToolChoiceOption"
+            - nullable: true
+        parallel_tool_calls:
+          $ref: "#/components/schemas/ParallelToolCalls"
+        response_format:
+          $ref: "#/components/schemas/AssistantsApiResponseFormatOption"
+          nullable: true
+      required:
+        - assistant_id
+    CreateThreadRequest:
+      type: object
+      description: |
+        Options to create a new thread. If no thread is provided when running a 
+        request, an empty thread will be created.
+      additionalProperties: false
+      properties:
+        messages:
+          description:
+            A list of [messages](/docs/api-reference/messages) to start the
+            thread with.
+          type: array
+          items:
+            $ref: "#/components/schemas/CreateMessageRequest"
+        tool_resources:
+          type: object
+          description: >
+            A set of resources that are made available to the assistant's tools
+            in this thread. The resources are specific to the type of tool. For
+            example, the `code_interpreter` tool requires a list of file IDs,
+            while the `file_search` tool requires a list of vector store IDs.
+          properties:
+            code_interpreter:
+              type: object
+              properties:
+                file_ids:
+                  type: array
+                  description: >
+                    A list of [file](/docs/api-reference/files) IDs made
+                    available to the `code_interpreter` tool. There can be a
+                    maximum of 20 files associated with the tool.
+                  default: []
+                  maxItems: 20
+                  items:
+                    type: string
+            file_search:
+              type: object
+              properties:
+                vector_store_ids:
+                  type: array
+                  description: >
+                    The [vector store](/docs/api-reference/vector-stores/object)
+                    attached to this thread. There can be a maximum of 1 vector
+                    store attached to the thread.
+                  maxItems: 1
+                  items:
+                    type: string
+                vector_stores:
+                  type: array
+                  description: >
+                    A helper to create a [vector
+                    store](/docs/api-reference/vector-stores/object) with
+                    file_ids and attach it to this thread. There can be a
+                    maximum of 1 vector store attached to the thread.
+                  maxItems: 1
+                  items:
+                    type: object
+                    properties:
+                      file_ids:
+                        type: array
+                        description: >
+                          A list of [file](/docs/api-reference/files) IDs to add
+                          to the vector store. There can be a maximum of 10000
+                          files in a vector store.
+                        maxItems: 10000
+                        items:
+                          type: string
+                      chunking_strategy:
+                        type: object
+                        description:
+                          The chunking strategy used to chunk the file(s). If not set, will
+                          use the `auto` strategy.
+                        oneOf:
+                          - type: object
+                            title: Auto Chunking Strategy
+                            description:
+                              The default strategy. This strategy currently uses a
+                              `max_chunk_size_tokens` of `800` and
+                              `chunk_overlap_tokens` of `400`.
+                            additionalProperties: false
+                            properties:
+                              type:
+                                type: string
+                                description: Always `auto`.
+                                enum:
+                                  - auto
+                                x-stainless-const: true
+                            required:
+                              - type
+                          - type: object
+                            title: Static Chunking Strategy
+                            additionalProperties: false
+                            properties:
+                              type:
+                                type: string
+                                description: Always `static`.
+                                enum:
+                                  - static
+                                x-stainless-const: true
+                              static:
+                                type: object
+                                additionalProperties: false
+                                properties:
+                                  max_chunk_size_tokens:
+                                    type: integer
+                                    minimum: 100
+                                    maximum: 4096
+                                    description:
+                                      The maximum number of tokens in each chunk. The default value is
+                                      `800`. The minimum value is `100` and the
+                                      maximum value is `4096`.
+                                  chunk_overlap_tokens:
+                                    type: integer
+                                    description: >
+                                      The number of tokens that overlap between
+                                      chunks. The default value is `400`.
+
+
+                                      Note that the overlap must not exceed half
+                                      of `max_chunk_size_tokens`.
+                                required:
+                                  - max_chunk_size_tokens
+                                  - chunk_overlap_tokens
+                            required:
+                              - type
+                              - static
+                        x-oaiExpandable: true
+                      metadata:
+                        $ref: "#/components/schemas/Metadata"
+                    x-oaiExpandable: true
+              oneOf:
+                - required:
+                    - vector_store_ids
+                - required:
+                    - vector_stores
+          nullable: true
+        metadata:
+          $ref: "#/components/schemas/Metadata"
+    CreateTranscriptionRequest:
+      type: object
+      additionalProperties: false
+      properties:
+        file:
+          description: >
+            The audio file object (not file name) to transcribe, in one of these
+            formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
+          type: string
+          x-oaiTypeLabel: file
+          format: binary
+        model:
+          description: >
+            ID of the model to use. The options are `gpt-4o-transcribe`,
+            `gpt-4o-mini-transcribe`, and `whisper-1` (which is powered by our
+            open source Whisper V2 model).
+          example: gpt-4o-transcribe
+          anyOf:
+            - type: string
+            - type: string
+              enum:
+                - whisper-1
+                - gpt-4o-transcribe
+                - gpt-4o-mini-transcribe
+              x-stainless-const: true
+          x-oaiTypeLabel: string
+        language:
+          description: >
+            The language of the input audio. Supplying the input language in
+            [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes)
+            (e.g. `en`) format will improve accuracy and latency.
+          type: string
+        prompt:
+          description: >
+            An optional text to guide the model's style or continue a previous
+            audio segment. The [prompt](/docs/guides/speech-to-text#prompting)
+            should match the audio language.
+          type: string
+        response_format:
+          $ref: "#/components/schemas/AudioResponseFormat"
+        temperature:
+          description: >
+            The sampling temperature, between 0 and 1. Higher values like 0.8
+            will make the output more random, while lower values like 0.2 will
+            make it more focused and deterministic. If set to 0, the model will
+            use [log probability](https://en.wikipedia.org/wiki/Log_probability)
+            to automatically increase the temperature until certain thresholds
+            are hit.
+          type: number
+          default: 0
+        include[]:
+          description: >
+            Additional information to include in the transcription response. 
+
+            `logprobs` will return the log probabilities of the tokens in the 
+
+            response to understand the model's confidence in the transcription. 
+
+            `logprobs` only works with response_format set to `json` and only
+            with 
+
+            the models `gpt-4o-transcribe` and `gpt-4o-mini-transcribe`.
+          type: array
+          items:
+            $ref: "#/components/schemas/TranscriptionInclude"
+        timestamp_granularities[]:
+          description: >
+            The timestamp granularities to populate for this transcription.
+            `response_format` must be set `verbose_json` to use timestamp
+            granularities. Either or both of these options are supported:
+            `word`, or `segment`. Note: There is no additional latency for
+            segment timestamps, but generating word timestamps incurs additional
+            latency.
+          type: array
+          items:
+            type: string
+            enum:
+              - word
+              - segment
+          default:
+            - segment
+        stream:
+          description: >
+            If set to true, the model response data will be streamed to the
+            client
+
+            as it is generated using [server-sent
+            events](https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events/Using_server-sent_events#Event_stream_format). 
+
+            See the [Streaming section of the Speech-to-Text
+            guide](/docs/guides/speech-to-text?lang=curl#streaming-transcriptions)
+
+            for more information.
+
+
+            Note: Streaming is not supported for the `whisper-1` model and will
+            be ignored.
+          type: boolean
+          nullable: true
+          default: false
+      required:
+        - file
+        - model
+    CreateTranscriptionResponseJson:
+      type: object
+      description:
+        Represents a transcription response returned by model, based on the
+        provided input.
+      properties:
+        text:
+          type: string
+          description: The transcribed text.
+        logprobs:
+          type: array
+          description: >
+            The log probabilities of the tokens in the transcription. Only
+            returned with the models `gpt-4o-transcribe` and
+            `gpt-4o-mini-transcribe` if `logprobs` is added to the `include`
+            array.
+          items:
+            $ref: "#/components/schemas/LogProbProperties"
+      required:
+        - text
+      x-oaiMeta:
+        name: The transcription object (JSON)
+        group: audio
+        example: >
+          {
+            "text": "Imagine the wildest idea that you've ever had, and you're curious about how it might scale to something that's a 100, a 1,000 times bigger. This is a place where you can get to do that."
+          }
+    CreateTranscriptionResponseStreamEvent:
+      anyOf:
+        - $ref: "#/components/schemas/TranscriptTextDeltaEvent"
+        - $ref: "#/components/schemas/TranscriptTextDoneEvent"
+      discriminator:
+        propertyName: type
+    CreateTranscriptionResponseVerboseJson:
+      type: object
+      description:
+        Represents a verbose json transcription response returned by model,
+        based on the provided input.
+      properties:
+        language:
+          type: string
+          description: The language of the input audio.
+        duration:
+          type: number
+          description: The duration of the input audio.
+        text:
+          type: string
+          description: The transcribed text.
+        words:
+          type: array
+          description: Extracted words and their corresponding timestamps.
+          items:
+            $ref: "#/components/schemas/TranscriptionWord"
+        segments:
+          type: array
+          description: Segments of the transcribed text and their corresponding details.
+          items:
+            $ref: "#/components/schemas/TranscriptionSegment"
+      required:
+        - language
+        - duration
+        - text
+      x-oaiMeta:
+        name: The transcription object (Verbose JSON)
+        group: audio
+        example: >
+          {
+            "task": "transcribe",
+            "language": "english",
+            "duration": 8.470000267028809,
+            "text": "The beach was a popular spot on a hot summer day. People were swimming in the ocean, building sandcastles, and playing beach volleyball.",
+            "segments": [
+              {
+                "id": 0,
+                "seek": 0,
+                "start": 0.0,
+                "end": 3.319999933242798,
+                "text": " The beach was a popular spot on a hot summer day.",
+                "tokens": [
+                  50364, 440, 7534, 390, 257, 3743, 4008, 322, 257, 2368, 4266, 786, 13, 50530
+                ],
+                "temperature": 0.0,
+                "avg_logprob": -0.2860786020755768,
+                "compression_ratio": 1.2363636493682861,
+                "no_speech_prob": 0.00985979475080967
+              },
+              ...
+            ]
+          }
+    CreateTranslationRequest:
+      type: object
+      additionalProperties: false
+      properties:
+        file:
+          description: >
+            The audio file object (not file name) translate, in one of these
+            formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
+          type: string
+          x-oaiTypeLabel: file
+          format: binary
+        model:
+          description: >
+            ID of the model to use. Only `whisper-1` (which is powered by our
+            open source Whisper V2 model) is currently available.
+          example: whisper-1
+          anyOf:
+            - type: string
+            - type: string
+              enum:
+                - whisper-1
+              x-stainless-const: true
+          x-oaiTypeLabel: string
+        prompt:
+          description: >
+            An optional text to guide the model's style or continue a previous
+            audio segment. The [prompt](/docs/guides/speech-to-text#prompting)
+            should be in English.
+          type: string
+        response_format:
+          description: >
+            The format of the output, in one of these options: `json`, `text`,
+            `srt`, `verbose_json`, or `vtt`.
+          type: string
+          enum:
+            - json
+            - text
+            - srt
+            - verbose_json
+            - vtt
+          default: json
+        temperature:
+          description: >
+            The sampling temperature, between 0 and 1. Higher values like 0.8
+            will make the output more random, while lower values like 0.2 will
+            make it more focused and deterministic. If set to 0, the model will
+            use [log probability](https://en.wikipedia.org/wiki/Log_probability)
+            to automatically increase the temperature until certain thresholds
+            are hit.
+          type: number
+          default: 0
+      required:
+        - file
+        - model
+    CreateTranslationResponseJson:
+      type: object
+      properties:
+        text:
+          type: string
+      required:
+        - text
+    CreateTranslationResponseVerboseJson:
+      type: object
+      properties:
+        language:
+          type: string
+          description: The language of the output translation (always `english`).
+        duration:
+          type: number
+          description: The duration of the input audio.
+        text:
+          type: string
+          description: The translated text.
+        segments:
+          type: array
+          description: Segments of the translated text and their corresponding details.
+          items:
+            $ref: "#/components/schemas/TranscriptionSegment"
+      required:
+        - language
+        - duration
+        - text
+    CreateUploadRequest:
+      type: object
+      additionalProperties: false
+      properties:
+        filename:
+          description: |
+            The name of the file to upload.
+          type: string
+        purpose:
+          description: >
+            The intended purpose of the uploaded file.
+
+
+            See the [documentation on File
+            purposes](/docs/api-reference/files/create#files-create-purpose).
+          type: string
+          enum:
+            - assistants
+            - batch
+            - fine-tune
+            - vision
+        bytes:
+          description: |
+            The number of bytes in the file you are uploading.
+          type: integer
+        mime_type:
+          description: >
+            The MIME type of the file.
+
+
+            This must fall within the supported MIME types for your file
+            purpose. See the supported MIME types for assistants and vision.
+          type: string
+      required:
+        - filename
+        - purpose
+        - bytes
+        - mime_type
+    CreateVectorStoreFileBatchRequest:
+      type: object
+      additionalProperties: false
+      properties:
+        file_ids:
+          description:
+            A list of [File](/docs/api-reference/files) IDs that the vector
+            store should use. Useful for tools like `file_search` that can
+            access files.
+          type: array
+          minItems: 1
+          maxItems: 500
+          items:
+            type: string
+        chunking_strategy:
+          $ref: "#/components/schemas/ChunkingStrategyRequestParam"
+        attributes:
+          $ref: "#/components/schemas/VectorStoreFileAttributes"
+      required:
+        - file_ids
+    CreateVectorStoreFileRequest:
+      type: object
+      additionalProperties: false
+      properties:
+        file_id:
+          description:
+            A [File](/docs/api-reference/files) ID that the vector store should
+            use. Useful for tools like `file_search` that can access files.
+          type: string
+        chunking_strategy:
+          $ref: "#/components/schemas/ChunkingStrategyRequestParam"
+        attributes:
+          $ref: "#/components/schemas/VectorStoreFileAttributes"
+      required:
+        - file_id
+    CreateVectorStoreRequest:
+      type: object
+      additionalProperties: false
+      properties:
+        file_ids:
+          description:
+            A list of [File](/docs/api-reference/files) IDs that the vector
+            store should use. Useful for tools like `file_search` that can
+            access files.
+          type: array
+          maxItems: 500
+          items:
+            type: string
+        name:
+          description: The name of the vector store.
+          type: string
+        expires_after:
+          $ref: "#/components/schemas/VectorStoreExpirationAfter"
+        chunking_strategy:
+          type: object
+          description:
+            The chunking strategy used to chunk the file(s). If not set, will
+            use the `auto` strategy. Only applicable if `file_ids` is non-empty.
+          oneOf:
+            - $ref: "#/components/schemas/AutoChunkingStrategyRequestParam"
+            - $ref: "#/components/schemas/StaticChunkingStrategyRequestParam"
+          x-oaiExpandable: true
+        metadata:
+          $ref: "#/components/schemas/Metadata"
+    DefaultProjectErrorResponse:
+      type: object
+      properties:
+        code:
+          type: integer
+        message:
+          type: string
+      required:
+        - code
+        - message
+    DeleteAssistantResponse:
+      type: object
+      properties:
+        id:
+          type: string
+        deleted:
+          type: boolean
+        object:
+          type: string
+          enum:
+            - assistant.deleted
+          x-stainless-const: true
+      required:
+        - id
+        - object
+        - deleted
+    DeleteFileResponse:
+      type: object
+      properties:
+        id:
+          type: string
+        object:
+          type: string
+          enum:
+            - file
+          x-stainless-const: true
+        deleted:
+          type: boolean
+      required:
+        - id
+        - object
+        - deleted
+    DeleteFineTuningCheckpointPermissionResponse:
+      type: object
+      properties:
+        id:
+          type: string
+          description:
+            The ID of the fine-tuned model checkpoint permission that was
+            deleted.
+        object:
+          type: string
+          description: The object type, which is always "checkpoint.permission".
+          enum:
+            - checkpoint.permission
+          x-stainless-const: true
+        deleted:
+          type: boolean
+          description:
+            Whether the fine-tuned model checkpoint permission was successfully
+            deleted.
+      required:
+        - id
+        - object
+        - deleted
+    DeleteMessageResponse:
+      type: object
+      properties:
+        id:
+          type: string
+        deleted:
+          type: boolean
+        object:
+          type: string
+          enum:
+            - thread.message.deleted
+          x-stainless-const: true
+      required:
+        - id
+        - object
+        - deleted
+    DeleteModelResponse:
+      type: object
+      properties:
+        id:
+          type: string
+        deleted:
+          type: boolean
+        object:
+          type: string
+      required:
+        - id
+        - object
+        - deleted
+    DeleteThreadResponse:
+      type: object
+      properties:
+        id:
+          type: string
+        deleted:
+          type: boolean
+        object:
+          type: string
+          enum:
+            - thread.deleted
+          x-stainless-const: true
+      required:
+        - id
+        - object
+        - deleted
+    DeleteVectorStoreFileResponse:
+      type: object
+      properties:
+        id:
+          type: string
+        deleted:
+          type: boolean
+        object:
+          type: string
+          enum:
+            - vector_store.file.deleted
+          x-stainless-const: true
+      required:
+        - id
+        - object
+        - deleted
+    DeleteVectorStoreResponse:
+      type: object
+      properties:
+        id:
+          type: string
+        deleted:
+          type: boolean
+        object:
+          type: string
+          enum:
+            - vector_store.deleted
+          x-stainless-const: true
+      required:
+        - id
+        - object
+        - deleted
+    DoneEvent:
+      type: object
+      properties:
+        event:
+          type: string
+          enum:
+            - done
+          x-stainless-const: true
+        data:
+          type: string
+          enum:
+            - "[DONE]"
+          x-stainless-const: true
+      required:
+        - event
+        - data
+      description: Occurs when a stream ends.
+      x-oaiMeta:
+        dataDescription: "`data` is `[DONE]`"
+    DoubleClick:
+      type: object
+      title: DoubleClick
+      description: |
+        A double click action.
+      properties:
+        type:
+          type: string
+          enum:
+            - double_click
+          default: double_click
+          description: >
+            Specifies the event type. For a double click action, this property
+            is 
+
+            always set to `double_click`.
+          x-stainless-const: true
+        x:
+          type: integer
+          description: |
+            The x-coordinate where the double click occurred.
+        y:
+          type: integer
+          description: |
+            The y-coordinate where the double click occurred.
+      required:
+        - type
+        - x
+        - y
+    Drag:
+      type: object
+      title: Drag
+      description: |
+        A drag action.
+      properties:
+        type:
+          type: string
+          enum:
+            - drag
+          default: drag
+          description: |
+            Specifies the event type. For a drag action, this property is 
+            always set to `drag`.
+          x-stainless-const: true
+        path:
+          type: array
+          description: >
+            An array of coordinates representing the path of the drag action.
+            Coordinates will appear as an array
+
+            of objects, eg
+
+            ```
+
+            [
+              { x: 100, y: 200 },
+              { x: 200, y: 300 }
+            ]
+
+            ```
+          x-oaiExpandable: true
+          items:
+            title: Drag path coordinates
+            x-oaiExpandable: true
+            description: |
+              A series of x/y coordinate pairs in the drag path.
+            $ref: "#/components/schemas/Coordinate"
+      required:
+        - type
+        - path
+    EasyInputMessage:
+      type: object
+      title: Input message
+      description: >
+        A message input to the model with a role indicating instruction
+        following
+
+        hierarchy. Instructions given with the `developer` or `system` role take
+
+        precedence over instructions given with the `user` role. Messages with
+        the
+
+        `assistant` role are presumed to have been generated by the model in
+        previous
+
+        interactions.
+      properties:
+        role:
+          type: string
+          description: >
+            The role of the message input. One of `user`, `assistant`, `system`,
+            or
+
+            `developer`.
+          enum:
+            - user
+            - assistant
+            - system
+            - developer
+        content:
+          description: >
+            Text, image, or audio input to the model, used to generate a
+            response.
+
+            Can also contain previous assistant responses.
+          x-oaiExpandable: true
+          oneOf:
+            - type: string
+              title: Text input
+              description: |
+                A text input to the model.
+            - $ref: "#/components/schemas/InputMessageContentList"
+        type:
+          type: string
+          description: |
+            The type of the message input. Always `message`.
+          enum:
+            - message
+          x-stainless-const: true
+      required:
+        - role
+        - content
+    Embedding:
+      type: object
+      description: |
+        Represents an embedding vector returned by embedding endpoint.
+      properties:
+        index:
+          type: integer
+          description: The index of the embedding in the list of embeddings.
+        embedding:
+          type: array
+          description: >
+            The embedding vector, which is a list of floats. The length of
+            vector depends on the model as listed in the [embedding
+            guide](/docs/guides/embeddings).
+          items:
+            type: number
+        object:
+          type: string
+          description: The object type, which is always "embedding".
+          enum:
+            - embedding
+          x-stainless-const: true
+      required:
+        - index
+        - object
+        - embedding
+      x-oaiMeta:
+        name: The embedding object
+        example: |
+          {
+            "object": "embedding",
+            "embedding": [
+              0.0023064255,
+              -0.009327292,
+              .... (1536 floats total for ada-002)
+              -0.0028842222,
+            ],
+            "index": 0
+          }
+    Error:
+      type: object
+      properties:
+        code:
+          type: string
+          nullable: true
+        message:
+          type: string
+          nullable: false
+        param:
+          type: string
+          nullable: true
+        type:
+          type: string
+          nullable: false
+      required:
+        - type
+        - message
+        - param
+        - code
+    ErrorEvent:
+      type: object
+      properties:
+        event:
+          type: string
+          enum:
+            - error
+          x-stainless-const: true
+        data:
+          $ref: "#/components/schemas/Error"
+      required:
+        - event
+        - data
+      description:
+        Occurs when an [error](/docs/guides/error-codes#api-errors) occurs.
+        This can happen due to an internal server error or a timeout.
+      x-oaiMeta:
+        dataDescription: "`data` is an [error](/docs/guides/error-codes#api-errors)"
+    ErrorResponse:
+      type: object
+      properties:
+        error:
+          $ref: "#/components/schemas/Error"
+      required:
+        - error
+    FileCitation:
+      type: object
+      title: File citation
+      description: |
+        A citation to a file.
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the file citation. Always `file_citation`.
+          enum:
+            - file_citation
+          x-stainless-const: true
+        index:
+          type: integer
+          description: |
+            The index of the file in the list of files.
+        file_id:
+          type: string
+          description: |
+            The ID of the file.
+      required:
+        - type
+        - index
+        - file_id
+    FilePath:
+      type: object
+      title: File path
+      description: |
+        A path to a file.
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the file path. Always `file_path`.
+          enum:
+            - file_path
+          x-stainless-const: true
+        file_id:
+          type: string
+          description: |
+            The ID of the file.
+        index:
+          type: integer
+          description: |
+            The index of the file in the list of files.
+      required:
+        - type
+        - file_id
+        - index
+    FileSearchRanker:
+      type: string
+      description:
+        The ranker to use for the file search. If not specified will use
+        the `auto` ranker.
+      enum:
+        - auto
+        - default_2024_08_21
+    FileSearchRankingOptions:
+      title: File search tool call ranking options
+      type: object
+      description: >
+        The ranking options for the file search. If not specified, the file
+        search tool will use the `auto` ranker and a score_threshold of 0.
+
+
+        See the [file search tool
+        documentation](/docs/assistants/tools/file-search#customizing-file-search-settings)
+        for more information.
+      properties:
+        ranker:
+          $ref: "#/components/schemas/FileSearchRanker"
+        score_threshold:
+          type: number
+          description:
+            The score threshold for the file search. All values must be a
+            floating point number between 0 and 1.
+          minimum: 0
+          maximum: 1
+      required:
+        - score_threshold
+    FileSearchTool:
+      type: object
+      title: File search
+      description: |
+        A tool that searches for relevant content from uploaded files.
+        Learn more about the [file search tool](/docs/guides/tools-file-search).
+      properties:
+        type:
+          type: string
+          enum:
+            - file_search
+          description: |
+            The type of the file search tool. Always `file_search`.
+          x-stainless-const: true
+        vector_store_ids:
+          type: array
+          items:
+            type: string
+          description: |
+            The IDs of the vector stores to search.
+        max_num_results:
+          type: integer
+          description: >
+            The maximum number of results to return. This number should be
+            between 1 
+
+            and 50 inclusive.
+        filters:
+          description: A filter to apply based on file attributes.
+          oneOf:
+            - $ref: "#/components/schemas/ComparisonFilter"
+            - $ref: "#/components/schemas/CompoundFilter"
+          x-oaiExpandable: true
+        ranking_options:
+          description: Ranking options for search.
+          type: object
+          additionalProperties: false
+          properties:
+            ranker:
+              type: string
+              description: The ranker to use for the file search.
+              enum:
+                - auto
+                - default-2024-11-15
+              default: auto
+            score_threshold:
+              type: number
+              description: >
+                The score threshold for the file search, a number between 0 and
+                1.
+
+                Numbers closer to 1 will attempt to return only the most
+                relevant
+
+                results, but may return fewer results.
+              minimum: 0
+              maximum: 1
+              default: 0
+      required:
+        - type
+        - vector_store_ids
+    FileSearchToolCall:
+      type: object
+      title: File search tool call
+      description: >
+        The results of a file search tool call. See the 
+
+        [file search guide](/docs/guides/tools-file-search) for more
+        information.
+      properties:
+        id:
+          type: string
+          description: |
+            The unique ID of the file search tool call.
+        type:
+          type: string
+          enum:
+            - file_search_call
+          description: |
+            The type of the file search tool call. Always `file_search_call`.
+          x-stainless-const: true
+        status:
+          type: string
+          description: |
+            The status of the file search tool call. One of `in_progress`, 
+            `searching`, `incomplete` or `failed`,
+          enum:
+            - in_progress
+            - searching
+            - completed
+            - incomplete
+            - failed
+        queries:
+          type: array
+          items:
+            type: string
+          description: |
+            The queries used to search for files.
+        results:
+          type: array
+          description: |
+            The results of the file search tool call.
+          items:
+            type: object
+            properties:
+              file_id:
+                type: string
+                description: |
+                  The unique ID of the file.
+              text:
+                type: string
+                description: |
+                  The text that was retrieved from the file.
+              filename:
+                type: string
+                description: |
+                  The name of the file.
+              attributes:
+                $ref: "#/components/schemas/VectorStoreFileAttributes"
+              score:
+                type: number
+                format: float
+                description: |
+                  The relevance score of the file - a value between 0 and 1.
+          nullable: true
+      required:
+        - id
+        - type
+        - status
+        - queries
+    FineTuneChatCompletionRequestAssistantMessage:
+      allOf:
+        - type: object
+          title: Assistant message
+          deprecated: false
+          properties:
+            weight:
+              type: integer
+              enum:
+                - 0
+                - 1
+              description: Controls whether the assistant message is trained against (0 or 1)
+        - $ref: "#/components/schemas/ChatCompletionRequestAssistantMessage"
+      required:
+        - role
+    FineTuneChatRequestInput:
+      type: object
+      description:
+        The per-line training example of a fine-tuning input file for chat
+        models using the supervised method.
+      properties:
+        messages:
+          type: array
+          minItems: 1
+          items:
+            oneOf:
+              - $ref: "#/components/schemas/ChatCompletionRequestSystemMessage"
+              - $ref: "#/components/schemas/ChatCompletionRequestUserMessage"
+              - $ref: "#/components/schemas/FineTuneChatCompletionRequestAssistantMessage"
+              - $ref: "#/components/schemas/ChatCompletionRequestToolMessage"
+              - $ref: "#/components/schemas/ChatCompletionRequestFunctionMessage"
+            x-oaiExpandable: true
+        tools:
+          type: array
+          description: A list of tools the model may generate JSON inputs for.
+          items:
+            $ref: "#/components/schemas/ChatCompletionTool"
+        parallel_tool_calls:
+          $ref: "#/components/schemas/ParallelToolCalls"
+        functions:
+          deprecated: true
+          description: A list of functions the model may generate JSON inputs for.
+          type: array
+          minItems: 1
+          maxItems: 128
+          items:
+            $ref: "#/components/schemas/ChatCompletionFunctions"
+      x-oaiMeta:
+        name: Training format for chat models using the supervised method
+        example: >
+          {
+            "messages": [
+              { "role": "user", "content": "What is the weather in San Francisco?" },
+              {
+                "role": "assistant",
+                "tool_calls": [
+                  {
+                    "id": "call_id",
+                    "type": "function",
+                    "function": {
+                      "name": "get_current_weather",
+                      "arguments": "{\"location\": \"San Francisco, USA\", \"format\": \"celsius\"}"
+                    }
+                  }
+                ]
+              }
+            ],
+            "parallel_tool_calls": false,
+            "tools": [
+              {
+                "type": "function",
+                "function": {
+                  "name": "get_current_weather",
+                  "description": "Get the current weather",
+                  "parameters": {
+                    "type": "object",
+                    "properties": {
+                      "location": {
+                          "type": "string",
+                          "description": "The city and country, eg. San Francisco, USA"
+                      },
+                      "format": { "type": "string", "enum": ["celsius", "fahrenheit"] }
+                    },
+                    "required": ["location", "format"]
+                  }
+                }
+              }
+            ]
+          }
+    FineTuneCompletionRequestInput:
+      type: object
+      description: The per-line training example of a fine-tuning input file for
+        completions models
+      properties:
+        prompt:
+          type: string
+          description: The input prompt for this training example.
+        completion:
+          type: string
+          description: The desired completion for this training example.
+      x-oaiMeta:
+        name: Training format for completions models
+        example: |
+          {
+            "prompt": "What is the answer to 2+2",
+            "completion": "4"
+          }
+    FineTuneDPOMethod:
+      type: object
+      description: Configuration for the DPO fine-tuning method.
+      properties:
+        hyperparameters:
+          type: object
+          description: The hyperparameters used for the fine-tuning job.
+          properties:
+            beta:
+              description: >
+                The beta value for the DPO method. A higher beta value will
+                increase the weight of the penalty between the policy and
+                reference model.
+              oneOf:
+                - type: string
+                  enum:
+                    - auto
+                  x-stainless-const: true
+                - type: number
+                  minimum: 0
+                  maximum: 2
+                  exclusiveMinimum: true
+              default: auto
+            batch_size:
+              description: >
+                Number of examples in each batch. A larger batch size means that
+                model parameters are updated less frequently, but with lower
+                variance.
+              oneOf:
+                - type: string
+                  enum:
+                    - auto
+                  x-stainless-const: true
+                - type: integer
+                  minimum: 1
+                  maximum: 256
+              default: auto
+            learning_rate_multiplier:
+              description: >
+                Scaling factor for the learning rate. A smaller learning rate
+                may be useful to avoid overfitting.
+              oneOf:
+                - type: string
+                  enum:
+                    - auto
+                  x-stainless-const: true
+                - type: number
+                  minimum: 0
+                  exclusiveMinimum: true
+              default: auto
+            n_epochs:
+              description: >
+                The number of epochs to train the model for. An epoch refers to
+                one full cycle through the training dataset.
+              oneOf:
+                - type: string
+                  enum:
+                    - auto
+                  x-stainless-const: true
+                - type: integer
+                  minimum: 1
+                  maximum: 50
+              default: auto
+    FineTuneMethod:
+      type: object
+      description: The method used for fine-tuning.
+      properties:
+        type:
+          type: string
+          description: The type of method. Is either `supervised` or `dpo`.
+          enum:
+            - supervised
+            - dpo
+        supervised:
+          $ref: "#/components/schemas/FineTuneSupervisedMethod"
+        dpo:
+          $ref: "#/components/schemas/FineTuneDPOMethod"
+    FineTunePreferenceRequestInput:
+      type: object
+      description:
+        The per-line training example of a fine-tuning input file for chat
+        models using the dpo method.
+      properties:
+        input:
+          type: object
+          properties:
+            messages:
+              type: array
+              minItems: 1
+              items:
+                oneOf:
+                  - $ref: "#/components/schemas/ChatCompletionRequestSystemMessage"
+                  - $ref: "#/components/schemas/ChatCompletionRequestUserMessage"
+                  - $ref: "#/components/schemas/FineTuneChatCompletionRequestAssistantMessage"
+                  - $ref: "#/components/schemas/ChatCompletionRequestToolMessage"
+                  - $ref: "#/components/schemas/ChatCompletionRequestFunctionMessage"
+                x-oaiExpandable: true
+            tools:
+              type: array
+              description: A list of tools the model may generate JSON inputs for.
+              items:
+                $ref: "#/components/schemas/ChatCompletionTool"
+            parallel_tool_calls:
+              $ref: "#/components/schemas/ParallelToolCalls"
+        preferred_completion:
+          type: array
+          description: The preferred completion message for the output.
+          maxItems: 1
+          items:
+            oneOf:
+              - $ref: "#/components/schemas/ChatCompletionRequestAssistantMessage"
+            x-oaiExpandable: true
+        non_preferred_completion:
+          type: array
+          description: The non-preferred completion message for the output.
+          maxItems: 1
+          items:
+            oneOf:
+              - $ref: "#/components/schemas/ChatCompletionRequestAssistantMessage"
+            x-oaiExpandable: true
+      x-oaiMeta:
+        name: Training format for chat models using the preference method
+        example: >
+          {
+            "input": {
+              "messages": [
+                { "role": "user", "content": "What is the weather in San Francisco?" }
+              ]
+            },
+            "preferred_completion": [
+              {
+                "role": "assistant",
+                "content": "The weather in San Francisco is 70 degrees Fahrenheit."
+              }
+            ],
+            "non_preferred_completion": [
+              {
+                "role": "assistant",
+                "content": "The weather in San Francisco is 21 degrees Celsius."
+              }
+            ]
+          }
+    FineTuneSupervisedMethod:
+      type: object
+      description: Configuration for the supervised fine-tuning method.
+      properties:
+        hyperparameters:
+          type: object
+          description: The hyperparameters used for the fine-tuning job.
+          properties:
+            batch_size:
+              description: >
+                Number of examples in each batch. A larger batch size means that
+                model parameters are updated less frequently, but with lower
+                variance.
+              oneOf:
+                - type: string
+                  enum:
+                    - auto
+                  x-stainless-const: true
+                - type: integer
+                  minimum: 1
+                  maximum: 256
+              default: auto
+            learning_rate_multiplier:
+              description: >
+                Scaling factor for the learning rate. A smaller learning rate
+                may be useful to avoid overfitting.
+              oneOf:
+                - type: string
+                  enum:
+                    - auto
+                  x-stainless-const: true
+                - type: number
+                  minimum: 0
+                  exclusiveMinimum: true
+              default: auto
+            n_epochs:
+              description: >
+                The number of epochs to train the model for. An epoch refers to
+                one full cycle through the training dataset.
+              oneOf:
+                - type: string
+                  enum:
+                    - auto
+                  x-stainless-const: true
+                - type: integer
+                  minimum: 1
+                  maximum: 50
+              default: auto
+    FineTuningCheckpointPermission:
+      type: object
+      title: FineTuningCheckpointPermission
+      description: >
+        The `checkpoint.permission` object represents a permission for a
+        fine-tuned model checkpoint.
+      properties:
+        id:
+          type: string
+          description:
+            The permission identifier, which can be referenced in the API
+            endpoints.
+        created_at:
+          type: integer
+          description: The Unix timestamp (in seconds) for when the permission was created.
+        project_id:
+          type: string
+          description: The project identifier that the permission is for.
+        object:
+          type: string
+          description: The object type, which is always "checkpoint.permission".
+          enum:
+            - checkpoint.permission
+          x-stainless-const: true
+      required:
+        - created_at
+        - id
+        - object
+        - project_id
+      x-oaiMeta:
+        name: The fine-tuned model checkpoint permission object
+        example: |
+          {
+            "object": "checkpoint.permission",
+            "id": "cp_zc4Q7MP6XxulcVzj4MZdwsAB",
+            "created_at": 1712211699,
+            "project_id": "proj_abGMw1llN8IrBb6SvvY5A1iH"
+          }
+    FineTuningIntegration:
+      type: object
+      title: Fine-Tuning Job Integration
+      required:
+        - type
+        - wandb
+      properties:
+        type:
+          type: string
+          description: The type of the integration being enabled for the fine-tuning job
+          enum:
+            - wandb
+          x-stainless-const: true
+        wandb:
+          type: object
+          description: >
+            The settings for your integration with Weights and Biases. This
+            payload specifies the project that
+
+            metrics will be sent to. Optionally, you can set an explicit display
+            name for your run, add tags
+
+            to your run, and set a default entity (team, username, etc) to be
+            associated with your run.
+          required:
+            - project
+          properties:
+            project:
+              description: |
+                The name of the project that the new run will be created under.
+              type: string
+              example: my-wandb-project
+            name:
+              description: >
+                A display name to set for the run. If not set, we will use the
+                Job ID as the name.
+              nullable: true
+              type: string
+            entity:
+              description: >
+                The entity to use for the run. This allows you to set the team
+                or username of the WandB user that you would
+
+                like associated with the run. If not set, the default entity for
+                the registered WandB API key is used.
+              nullable: true
+              type: string
+            tags:
+              description: >
+                A list of tags to be attached to the newly created run. These
+                tags are passed through directly to WandB. Some
+
+                default tags are generated by OpenAI: "openai/finetune",
+                "openai/{base-model}", "openai/{ftjob-abcdef}".
+              type: array
+              items:
+                type: string
+                example: custom-tag
+    FineTuningJob:
+      type: object
+      title: FineTuningJob
+      description: >
+        The `fine_tuning.job` object represents a fine-tuning job that has been
+        created through the API.
+      properties:
+        id:
+          type: string
+          description: The object identifier, which can be referenced in the API endpoints.
+        created_at:
+          type: integer
+          description:
+            The Unix timestamp (in seconds) for when the fine-tuning job was
+            created.
+        error:
+          type: object
+          nullable: true
+          description:
+            For fine-tuning jobs that have `failed`, this will contain more
+            information on the cause of the failure.
+          properties:
+            code:
+              type: string
+              description: A machine-readable error code.
+            message:
+              type: string
+              description: A human-readable error message.
+            param:
+              type: string
+              description:
+                The parameter that was invalid, usually `training_file` or
+                `validation_file`. This field will be null if the failure was
+                not parameter-specific.
+              nullable: true
+          required:
+            - code
+            - message
+            - param
+        fine_tuned_model:
+          type: string
+          nullable: true
+          description:
+            The name of the fine-tuned model that is being created. The value
+            will be null if the fine-tuning job is still running.
+        finished_at:
+          type: integer
+          nullable: true
+          description:
+            The Unix timestamp (in seconds) for when the fine-tuning job was
+            finished. The value will be null if the fine-tuning job is still
+            running.
+        hyperparameters:
+          type: object
+          description:
+            The hyperparameters used for the fine-tuning job. This value will
+            only be returned when running `supervised` jobs.
+          properties:
+            batch_size:
+              description: >
+                Number of examples in each batch. A larger batch size means that
+                model parameters
+
+                are updated less frequently, but with lower variance.
+              oneOf:
+                - type: string
+                  enum:
+                    - auto
+                  x-stainless-const: true
+                - type: integer
+                  minimum: 1
+                  maximum: 256
+              default: auto
+            learning_rate_multiplier:
+              description: >
+                Scaling factor for the learning rate. A smaller learning rate
+                may be useful to avoid
+
+                overfitting.
+              oneOf:
+                - type: string
+                  enum:
+                    - auto
+                  x-stainless-const: true
+                - type: number
+                  minimum: 0
+                  exclusiveMinimum: true
+              default: auto
+            n_epochs:
+              description: >
+                The number of epochs to train the model for. An epoch refers to
+                one full cycle
+
+                through the training dataset.
+              oneOf:
+                - type: string
+                  enum:
+                    - auto
+                  x-stainless-const: true
+                - type: integer
+                  minimum: 1
+                  maximum: 50
+              default: auto
+        model:
+          type: string
+          description: The base model that is being fine-tuned.
+        object:
+          type: string
+          description: The object type, which is always "fine_tuning.job".
+          enum:
+            - fine_tuning.job
+          x-stainless-const: true
+        organization_id:
+          type: string
+          description: The organization that owns the fine-tuning job.
+        result_files:
+          type: array
+          description:
+            The compiled results file ID(s) for the fine-tuning job. You can
+            retrieve the results with the [Files
+            API](/docs/api-reference/files/retrieve-contents).
+          items:
+            type: string
+            example: file-abc123
+        status:
+          type: string
+          description:
+            The current status of the fine-tuning job, which can be either
+            `validating_files`, `queued`, `running`, `succeeded`, `failed`, or
+            `cancelled`.
+          enum:
+            - validating_files
+            - queued
+            - running
+            - succeeded
+            - failed
+            - cancelled
+        trained_tokens:
+          type: integer
+          nullable: true
+          description:
+            The total number of billable tokens processed by this fine-tuning
+            job. The value will be null if the fine-tuning job is still running.
+        training_file:
+          type: string
+          description:
+            The file ID used for training. You can retrieve the training data
+            with the [Files API](/docs/api-reference/files/retrieve-contents).
+        validation_file:
+          type: string
+          nullable: true
+          description:
+            The file ID used for validation. You can retrieve the validation
+            results with the [Files
+            API](/docs/api-reference/files/retrieve-contents).
+        integrations:
+          type: array
+          nullable: true
+          description: A list of integrations to enable for this fine-tuning job.
+          maxItems: 5
+          items:
+            oneOf:
+              - $ref: "#/components/schemas/FineTuningIntegration"
+            x-oaiExpandable: true
+        seed:
+          type: integer
+          description: The seed used for the fine-tuning job.
+        estimated_finish:
+          type: integer
+          nullable: true
+          description:
+            The Unix timestamp (in seconds) for when the fine-tuning job is
+            estimated to finish. The value will be null if the fine-tuning job
+            is not running.
+        method:
+          $ref: "#/components/schemas/FineTuneMethod"
+        metadata:
+          $ref: "#/components/schemas/Metadata"
+      required:
+        - created_at
+        - error
+        - finished_at
+        - fine_tuned_model
+        - hyperparameters
+        - id
+        - model
+        - object
+        - organization_id
+        - result_files
+        - status
+        - trained_tokens
+        - training_file
+        - validation_file
+        - seed
+      x-oaiMeta:
+        name: The fine-tuning job object
+        example: |
+          {
+            "object": "fine_tuning.job",
+            "id": "ftjob-abc123",
+            "model": "davinci-002",
+            "created_at": 1692661014,
+            "finished_at": 1692661190,
+            "fine_tuned_model": "ft:davinci-002:my-org:custom_suffix:7q8mpxmy",
+            "organization_id": "org-123",
+            "result_files": [
+                "file-abc123"
+            ],
+            "status": "succeeded",
+            "validation_file": null,
+            "training_file": "file-abc123",
+            "hyperparameters": {
+                "n_epochs": 4,
+                "batch_size": 1,
+                "learning_rate_multiplier": 1.0
+            },
+            "trained_tokens": 5768,
+            "integrations": [],
+            "seed": 0,
+            "estimated_finish": 0,
+            "method": {
+              "type": "supervised",
+              "supervised": {
+                "hyperparameters": {
+                  "n_epochs": 4,
+                  "batch_size": 1,
+                  "learning_rate_multiplier": 1.0
+                }
+              }
+            },
+            "metadata": {
+              "key": "value"
+            }
+          }
+    FineTuningJobCheckpoint:
+      type: object
+      title: FineTuningJobCheckpoint
+      description: >
+        The `fine_tuning.job.checkpoint` object represents a model checkpoint
+        for a fine-tuning job that is ready to use.
+      properties:
+        id:
+          type: string
+          description:
+            The checkpoint identifier, which can be referenced in the API
+            endpoints.
+        created_at:
+          type: integer
+          description: The Unix timestamp (in seconds) for when the checkpoint was created.
+        fine_tuned_model_checkpoint:
+          type: string
+          description: The name of the fine-tuned checkpoint model that is created.
+        step_number:
+          type: integer
+          description: The step number that the checkpoint was created at.
+        metrics:
+          type: object
+          description: Metrics at the step number during the fine-tuning job.
+          properties:
+            step:
+              type: number
+            train_loss:
+              type: number
+            train_mean_token_accuracy:
+              type: number
+            valid_loss:
+              type: number
+            valid_mean_token_accuracy:
+              type: number
+            full_valid_loss:
+              type: number
+            full_valid_mean_token_accuracy:
+              type: number
+        fine_tuning_job_id:
+          type: string
+          description:
+            The name of the fine-tuning job that this checkpoint was created
+            from.
+        object:
+          type: string
+          description: The object type, which is always "fine_tuning.job.checkpoint".
+          enum:
+            - fine_tuning.job.checkpoint
+          x-stainless-const: true
+      required:
+        - created_at
+        - fine_tuning_job_id
+        - fine_tuned_model_checkpoint
+        - id
+        - metrics
+        - object
+        - step_number
+      x-oaiMeta:
+        name: The fine-tuning job checkpoint object
+        example: >
+          {
+            "object": "fine_tuning.job.checkpoint",
+            "id": "ftckpt_qtZ5Gyk4BLq1SfLFWp3RtO3P",
+            "created_at": 1712211699,
+            "fine_tuned_model_checkpoint": "ft:gpt-4o-mini-2024-07-18:my-org:custom_suffix:9ABel2dg:ckpt-step-88",
+            "fine_tuning_job_id": "ftjob-fpbNQ3H1GrMehXRf8cO97xTN",
+            "metrics": {
+              "step": 88,
+              "train_loss": 0.478,
+              "train_mean_token_accuracy": 0.924,
+              "valid_loss": 10.112,
+              "valid_mean_token_accuracy": 0.145,
+              "full_valid_loss": 0.567,
+              "full_valid_mean_token_accuracy": 0.944
+            },
+            "step_number": 88
+          }
+    FineTuningJobEvent:
+      type: object
+      description: Fine-tuning job event object
+      properties:
+        object:
+          type: string
+          description: The object type, which is always "fine_tuning.job.event".
+          enum:
+            - fine_tuning.job.event
+          x-stainless-const: true
+        id:
+          type: string
+          description: The object identifier.
+        created_at:
+          type: integer
+          description:
+            The Unix timestamp (in seconds) for when the fine-tuning job was
+            created.
+        level:
+          type: string
+          description: The log level of the event.
+          enum:
+            - info
+            - warn
+            - error
+        message:
+          type: string
+          description: The message of the event.
+        type:
+          type: string
+          description: The type of event.
+          enum:
+            - message
+            - metrics
+        data:
+          type: object
+          description: The data associated with the event.
+      required:
+        - id
+        - object
+        - created_at
+        - level
+        - message
+      x-oaiMeta:
+        name: The fine-tuning job event object
+        example: |
+          {
+            "object": "fine_tuning.job.event",
+            "id": "ftevent-abc123"
+            "created_at": 1677610602,
+            "level": "info",
+            "message": "Created fine-tuning job",
+            "data": {},
+            "type": "message"
+          }
+    FunctionObject:
+      type: object
+      properties:
+        description:
+          type: string
+          description:
+            A description of what the function does, used by the model to
+            choose when and how to call the function.
+        name:
+          type: string
+          description:
+            The name of the function to be called. Must be a-z, A-Z, 0-9, or
+            contain underscores and dashes, with a maximum length of 64.
+        parameters:
+          $ref: "#/components/schemas/FunctionParameters"
+        strict:
+          type: boolean
+          nullable: true
+          default: false
+          description:
+            Whether to enable strict schema adherence when generating the
+            function call. If set to true, the model will follow the exact
+            schema defined in the `parameters` field. Only a subset of JSON
+            Schema is supported when `strict` is `true`. Learn more about
+            Structured Outputs in the [function calling
+            guide](docs/guides/function-calling).
+      required:
+        - name
+    FunctionParameters:
+      type: object
+      description: >-
+        The parameters the functions accepts, described as a JSON Schema object.
+        See the [guide](/docs/guides/function-calling) for examples, and the
+        [JSON Schema
+        reference](https://json-schema.org/understanding-json-schema/) for
+        documentation about the format. 
+
+
+        Omitting `parameters` defines a function with an empty parameter list.
+      additionalProperties: true
+    FunctionTool:
+      type: object
+      title: Function
+      description: >
+        Defines a function in your own code the model can choose to call. Learn
+        more
+
+        about [function calling](/docs/guides/function-calling).
+      properties:
+        type:
+          type: string
+          enum:
+            - function
+          description: |
+            The type of the function tool. Always `function`.
+          x-stainless-const: true
+        name:
+          type: string
+          description: |
+            The name of the function to call.
+        description:
+          type: string
+          nullable: true
+          description: >
+            A description of the function. Used by the model to determine
+            whether
+
+            or not to call the function.
+        parameters:
+          type: object
+          description: |
+            A JSON schema object describing the parameters of the function.
+          additionalProperties: true
+        strict:
+          type: boolean
+          description: |
+            Whether to enforce strict parameter validation. Default `true`.
+      required:
+        - type
+        - name
+        - parameters
+        - strict
+    FunctionToolCall:
+      type: object
+      title: Function tool call
+      description: >
+        A tool call to run a function. See the 
+
+        [function calling guide](/docs/guides/function-calling) for more
+        information.
+      properties:
+        id:
+          type: string
+          description: |
+            The unique ID of the function tool call.
+        type:
+          type: string
+          enum:
+            - function_call
+          description: |
+            The type of the function tool call. Always `function_call`.
+          x-stainless-const: true
+        call_id:
+          type: string
+          description: |
+            The unique ID of the function tool call generated by the model.
+        name:
+          type: string
+          description: |
+            The name of the function to run.
+        arguments:
+          type: string
+          description: |
+            A JSON string of the arguments to pass to the function.
+        status:
+          type: string
+          description: |
+            The status of the item. One of `in_progress`, `completed`, or
+            `incomplete`. Populated when items are returned via API.
+          enum:
+            - in_progress
+            - completed
+            - incomplete
+      required:
+        - type
+        - call_id
+        - name
+        - arguments
+    FunctionToolCallOutput:
+      type: object
+      title: Function tool call output
+      description: |
+        The output of a function tool call.
+      properties:
+        id:
+          type: string
+          description: >
+            The unique ID of the function tool call output. Populated when this
+            item
+
+            is returned via API.
+        type:
+          type: string
+          enum:
+            - function_call_output
+          description: >
+            The type of the function tool call output. Always
+            `function_call_output`.
+          x-stainless-const: true
+        call_id:
+          type: string
+          description: |
+            The unique ID of the function tool call generated by the model.
+        output:
+          type: string
+          description: |
+            A JSON string of the output of the function tool call.
+        status:
+          type: string
+          description: |
+            The status of the item. One of `in_progress`, `completed`, or
+            `incomplete`. Populated when items are returned via API.
+          enum:
+            - in_progress
+            - completed
+            - incomplete
+      required:
+        - type
+        - call_id
+        - output
+    FunctionToolCallOutputResource:
+      allOf:
+        - $ref: "#/components/schemas/FunctionToolCallOutput"
+        - type: object
+          properties:
+            id:
+              type: string
+              description: |
+                The unique ID of the function call tool output.
+          required:
+            - id
+    FunctionToolCallResource:
+      allOf:
+        - $ref: "#/components/schemas/FunctionToolCall"
+        - type: object
+          properties:
+            id:
+              type: string
+              description: |
+                The unique ID of the function tool call.
+          required:
+            - id
+    Image:
+      type: object
+      description:
+        Represents the url or the content of an image generated by the
+        OpenAI API.
+      properties:
+        b64_json:
+          type: string
+          description: The base64-encoded JSON of the generated image, if
+            `response_format` is `b64_json`.
+        url:
+          type: string
+          description:
+            The URL of the generated image, if `response_format` is `url`
+            (default).
+        revised_prompt:
+          type: string
+          description:
+            The prompt that was used to generate the image, if there was any
+            revision to the prompt.
+      x-oaiMeta:
+        name: The image object
+        example: |
+          {
+            "url": "...",
+            "revised_prompt": "..."
+          }
+    ImagesResponse:
+      properties:
+        created:
+          type: integer
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/Image"
+      required:
+        - created
+        - data
+    Includable:
+      type: string
+      description: >
+        Specify additional output data to include in the model response.
+        Currently
+
+        supported values are:
+
+        - `file_search_call.results`: Include the search results of
+          the file search tool call.
+        - `message.input_image.image_url`: Include image urls from the input
+        message.
+
+        - `computer_call_output.output.image_url`: Include image urls from the
+        computer call output.
+      enum:
+        - file_search_call.results
+        - message.input_image.image_url
+        - computer_call_output.output.image_url
+    InputAudio:
+      type: object
+      title: Audio input
+      description: |
+        An audio input to the model.
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the input item. Always `input_audio`.
+          enum:
+            - input_audio
+          x-stainless-const: true
+        data:
+          type: string
+          description: |
+            Base64-encoded audio data.
+        format:
+          type: string
+          description: >
+            The format of the audio data. Currently supported formats are `mp3`
+            and
+
+            `wav`.
+          enum:
+            - mp3
+            - wav
+      required:
+        - type
+        - data
+        - format
+    InputContent:
+      oneOf:
+        - $ref: "#/components/schemas/InputText"
+        - $ref: "#/components/schemas/InputImage"
+        - $ref: "#/components/schemas/InputFile"
+      x-oaiExpandable: true
+    InputFile:
+      type: object
+      title: File input
+      description: |
+        A file input to the model.
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the input item. Always `input_file`.
+          enum:
+            - input_file
+          x-stainless-const: true
+        file_id:
+          type: string
+          description: |
+            The ID of the file to be sent to the model.
+        filename:
+          type: string
+          description: |
+            The name of the file to be sent to the model.
+        file_data:
+          type: string
+          description: |
+            The content of the file to be sent to the model.
+      required:
+        - type
+    InputImage:
+      type: object
+      title: Image input
+      description: >
+        An image input to the model. Learn about [image
+        inputs](/docs/guides/vision).
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the input item. Always `input_image`.
+          enum:
+            - input_image
+          x-stainless-const: true
+        image_url:
+          type: string
+          description: >
+            The URL of the image to be sent to the model. A fully qualified URL
+            or
+
+            base64 encoded image in a data URL.
+          nullable: true
+        file_id:
+          type: string
+          description: |
+            The ID of the file to be sent to the model.
+          nullable: true
+        detail:
+          type: string
+          description: >
+            The detail level of the image to be sent to the model. One of
+            `high`,
+
+            `low`, or `auto`. Defaults to `auto`.
+          enum:
+            - high
+            - low
+            - auto
+          default: auto
+      required:
+        - type
+        - detail
+    InputItem:
+      oneOf:
+        - $ref: "#/components/schemas/EasyInputMessage"
+        - type: object
+          title: Item
+          description: |
+            An item representing part of the context for the response to be 
+            generated by the model. Can contain text, images, and audio inputs,
+            as well as previous assistant responses and tool call outputs.
+          $ref: "#/components/schemas/Item"
+        - $ref: "#/components/schemas/ItemReference"
+      discriminator:
+        propertyName: type
+    InputMessage:
+      type: object
+      title: Input message
+      description: >
+        A message input to the model with a role indicating instruction
+        following
+
+        hierarchy. Instructions given with the `developer` or `system` role take
+
+        precedence over instructions given with the `user` role.
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the message input. Always set to `message`.
+          enum:
+            - message
+          x-stainless-const: true
+        role:
+          type: string
+          description: >
+            The role of the message input. One of `user`, `system`, or
+            `developer`.
+          enum:
+            - user
+            - system
+            - developer
+        status:
+          type: string
+          description: |
+            The status of item. One of `in_progress`, `completed`, or
+            `incomplete`. Populated when items are returned via API.
+          enum:
+            - in_progress
+            - completed
+            - incomplete
+        content:
+          $ref: "#/components/schemas/InputMessageContentList"
+      required:
+        - role
+        - content
+    InputMessageContentList:
+      type: array
+      title: Input item content list
+      description: >
+        A list of one or many input items to the model, containing different
+        content 
+
+        types.
+      x-oaiExpandable: true
+      items:
+        x-oaiExpandable: true
+        $ref: "#/components/schemas/InputContent"
+    InputMessageResource:
+      allOf:
+        - $ref: "#/components/schemas/InputMessage"
+        - type: object
+          properties:
+            id:
+              type: string
+              description: |
+                The unique ID of the message input.
+          required:
+            - id
+    InputText:
+      type: object
+      title: Text input
+      description: |
+        A text input to the model.
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the input item. Always `input_text`.
+          enum:
+            - input_text
+          x-stainless-const: true
+        text:
+          type: string
+          description: |
+            The text input to the model.
+      required:
+        - type
+        - text
+    Invite:
+      type: object
+      description: Represents an individual `invite` to the organization.
+      properties:
+        object:
+          type: string
+          enum:
+            - organization.invite
+          description: The object type, which is always `organization.invite`
+          x-stainless-const: true
+        id:
+          type: string
+          description: The identifier, which can be referenced in API endpoints
+        email:
+          type: string
+          description: The email address of the individual to whom the invite was sent
+        role:
+          type: string
+          enum:
+            - owner
+            - reader
+          description: "`owner` or `reader`"
+        status:
+          type: string
+          enum:
+            - accepted
+            - expired
+            - pending
+          description: "`accepted`,`expired`, or `pending`"
+        invited_at:
+          type: integer
+          description: The Unix timestamp (in seconds) of when the invite was sent.
+        expires_at:
+          type: integer
+          description: The Unix timestamp (in seconds) of when the invite expires.
+        accepted_at:
+          type: integer
+          description: The Unix timestamp (in seconds) of when the invite was accepted.
+        projects:
+          type: array
+          description:
+            The projects that were granted membership upon acceptance of the
+            invite.
+          items:
+            type: object
+            properties:
+              id:
+                type: string
+                description: Project's public ID
+              role:
+                type: string
+                enum:
+                  - member
+                  - owner
+                description: Project membership role
+      required:
+        - object
+        - id
+        - email
+        - role
+        - status
+        - invited_at
+        - expires_at
+      x-oaiMeta:
+        name: The invite object
+        example: |
+          {
+            "object": "organization.invite",
+            "id": "invite-abc",
+            "email": "user@example.com",
+            "role": "owner",
+            "status": "accepted",
+            "invited_at": 1711471533,
+            "expires_at": 1711471533,
+            "accepted_at": 1711471533,
+            "projects": [
+              {
+                "id": "project-xyz",
+                "role": "member"
+              }
+            ]
+          }
+    InviteDeleteResponse:
+      type: object
+      properties:
+        object:
+          type: string
+          enum:
+            - organization.invite.deleted
+          description: The object type, which is always `organization.invite.deleted`
+          x-stainless-const: true
+        id:
+          type: string
+        deleted:
+          type: boolean
+      required:
+        - object
+        - id
+        - deleted
+    InviteListResponse:
+      type: object
+      properties:
+        object:
+          type: string
+          enum:
+            - list
+          description: The object type, which is always `list`
+          x-stainless-const: true
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/Invite"
+        first_id:
+          type: string
+          description: The first `invite_id` in the retrieved `list`
+        last_id:
+          type: string
+          description: The last `invite_id` in the retrieved `list`
+        has_more:
+          type: boolean
+          description:
+            The `has_more` property is used for pagination to indicate there
+            are additional results.
+      required:
+        - object
+        - data
+    InviteRequest:
+      type: object
+      properties:
+        email:
+          type: string
+          description: Send an email to this address
+        role:
+          type: string
+          enum:
+            - reader
+            - owner
+          description: "`owner` or `reader`"
+        projects:
+          type: array
+          description:
+            An array of projects to which membership is granted at the same
+            time the org invite is accepted. If omitted, the user will be
+            invited to the default project for compatibility with legacy
+            behavior.
+          items:
+            type: object
+            properties:
+              id:
+                type: string
+                description: Project's public ID
+              role:
+                type: string
+                enum:
+                  - member
+                  - owner
+                description: Project membership role
+            required:
+              - id
+              - role
+      required:
+        - email
+        - role
+    Item:
+      type: object
+      description: |
+        Content item used to generate a response.
+      oneOf:
+        - $ref: "#/components/schemas/InputMessage"
+        - $ref: "#/components/schemas/OutputMessage"
+        - $ref: "#/components/schemas/FileSearchToolCall"
+        - $ref: "#/components/schemas/ComputerToolCall"
+        - $ref: "#/components/schemas/ComputerToolCallOutput"
+        - $ref: "#/components/schemas/WebSearchToolCall"
+        - $ref: "#/components/schemas/FunctionToolCall"
+        - $ref: "#/components/schemas/FunctionToolCallOutput"
+        - $ref: "#/components/schemas/ReasoningItem"
+      x-oaiExpandable: true
+      discriminator:
+        propertyName: type
+    ItemReference:
+      type: object
+      title: Item reference
+      description: |
+        An internal identifier for an item to reference.
+      properties:
+        id:
+          type: string
+          description: |
+            The ID of the item to reference.
+        type:
+          type: string
+          description: |
+            The type of item to reference. Always `item_reference`.
+          enum:
+            - item_reference
+          x-stainless-const: true
+      required:
+        - id
+        - type
+    ItemResource:
+      description: |
+        Content item used to generate a response.
+      oneOf:
+        - $ref: "#/components/schemas/InputMessageResource"
+        - $ref: "#/components/schemas/OutputMessage"
+        - $ref: "#/components/schemas/FileSearchToolCall"
+        - $ref: "#/components/schemas/ComputerToolCall"
+        - $ref: "#/components/schemas/ComputerToolCallOutputResource"
+        - $ref: "#/components/schemas/WebSearchToolCall"
+        - $ref: "#/components/schemas/FunctionToolCallResource"
+        - $ref: "#/components/schemas/FunctionToolCallOutputResource"
+      x-oaiExpandable: true
+      discriminator:
+        propertyName: type
+    KeyPress:
+      type: object
+      title: KeyPress
+      description: |
+        A collection of keypresses the model would like to perform.
+      properties:
+        type:
+          type: string
+          enum:
+            - keypress
+          default: keypress
+          description: |
+            Specifies the event type. For a keypress action, this property is 
+            always set to `keypress`.
+          x-stainless-const: true
+        keys:
+          type: array
+          items:
+            type: string
+            description: |
+              One of the keys the model is requesting to be pressed.
+          description: >
+            The combination of keys the model is requesting to be pressed. This
+            is an
+
+            array of strings, each representing a key.
+      required:
+        - type
+        - keys
+    ListAssistantsResponse:
+      type: object
+      properties:
+        object:
+          type: string
+          example: list
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/AssistantObject"
+        first_id:
+          type: string
+          example: asst_abc123
+        last_id:
+          type: string
+          example: asst_abc456
+        has_more:
+          type: boolean
+          example: false
+      required:
+        - object
+        - data
+        - first_id
+        - last_id
+        - has_more
+      x-oaiMeta:
+        name: List assistants response object
+        group: chat
+        example: >
+          {
+            "object": "list",
+            "data": [
+              {
+                "id": "asst_abc123",
+                "object": "assistant",
+                "created_at": 1698982736,
+                "name": "Coding Tutor",
+                "description": null,
+                "model": "gpt-4o",
+                "instructions": "You are a helpful assistant designed to make me better at coding!",
+                "tools": [],
+                "tool_resources": {},
+                "metadata": {},
+                "top_p": 1.0,
+                "temperature": 1.0,
+                "response_format": "auto"
+              },
+              {
+                "id": "asst_abc456",
+                "object": "assistant",
+                "created_at": 1698982718,
+                "name": "My Assistant",
+                "description": null,
+                "model": "gpt-4o",
+                "instructions": "You are a helpful assistant designed to make me better at coding!",
+                "tools": [],
+                "tool_resources": {},
+                "metadata": {},
+                "top_p": 1.0,
+                "temperature": 1.0,
+                "response_format": "auto"
+              },
+              {
+                "id": "asst_abc789",
+                "object": "assistant",
+                "created_at": 1698982643,
+                "name": null,
+                "description": null,
+                "model": "gpt-4o",
+                "instructions": null,
+                "tools": [],
+                "tool_resources": {},
+                "metadata": {},
+                "top_p": 1.0,
+                "temperature": 1.0,
+                "response_format": "auto"
+              }
+            ],
+            "first_id": "asst_abc123",
+            "last_id": "asst_abc789",
+            "has_more": false
+          }
+    ListAuditLogsResponse:
+      type: object
+      properties:
+        object:
+          type: string
+          enum:
+            - list
+          x-stainless-const: true
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/AuditLog"
+        first_id:
+          type: string
+          example: audit_log-defb456h8dks
+        last_id:
+          type: string
+          example: audit_log-hnbkd8s93s
+        has_more:
+          type: boolean
+      required:
+        - object
+        - data
+        - first_id
+        - last_id
+        - has_more
+    ListBatchesResponse:
+      type: object
+      properties:
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/Batch"
+        first_id:
+          type: string
+          example: batch_abc123
+        last_id:
+          type: string
+          example: batch_abc456
+        has_more:
+          type: boolean
+        object:
+          type: string
+          enum:
+            - list
+          x-stainless-const: true
+      required:
+        - object
+        - data
+        - has_more
+    ListFilesResponse:
+      type: object
+      properties:
+        object:
+          type: string
+          example: list
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/OpenAIFile"
+        first_id:
+          type: string
+          example: file-abc123
+        last_id:
+          type: string
+          example: file-abc456
+        has_more:
+          type: boolean
+          example: false
+      required:
+        - object
+        - data
+        - first_id
+        - last_id
+        - has_more
+    ListFineTuningCheckpointPermissionResponse:
+      type: object
+      properties:
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/FineTuningCheckpointPermission"
+        object:
+          type: string
+          enum:
+            - list
+          x-stainless-const: true
+        first_id:
+          type: string
+          nullable: true
+        last_id:
+          type: string
+          nullable: true
+        has_more:
+          type: boolean
+      required:
+        - object
+        - data
+        - has_more
+    ListFineTuningJobCheckpointsResponse:
+      type: object
+      properties:
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/FineTuningJobCheckpoint"
+        object:
+          type: string
+          enum:
+            - list
+          x-stainless-const: true
+        first_id:
+          type: string
+          nullable: true
+        last_id:
+          type: string
+          nullable: true
+        has_more:
+          type: boolean
+      required:
+        - object
+        - data
+        - has_more
+    ListFineTuningJobEventsResponse:
+      type: object
+      properties:
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/FineTuningJobEvent"
+        object:
+          type: string
+          enum:
+            - list
+          x-stainless-const: true
+        has_more:
+          type: boolean
+      required:
+        - object
+        - data
+        - has_more
+    ListMessagesResponse:
+      properties:
+        object:
+          type: string
+          example: list
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/MessageObject"
+        first_id:
+          type: string
+          example: msg_abc123
+        last_id:
+          type: string
+          example: msg_abc123
+        has_more:
+          type: boolean
+          example: false
+      required:
+        - object
+        - data
+        - first_id
+        - last_id
+        - has_more
+    ListModelsResponse:
+      type: object
+      properties:
+        object:
+          type: string
+          enum:
+            - list
+          x-stainless-const: true
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/Model"
+      required:
+        - object
+        - data
+    ListPaginatedFineTuningJobsResponse:
+      type: object
+      properties:
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/FineTuningJob"
+        has_more:
+          type: boolean
+        object:
+          type: string
+          enum:
+            - list
+          x-stainless-const: true
+      required:
+        - object
+        - data
+        - has_more
+    ListRunStepsResponse:
+      properties:
+        object:
+          type: string
+          example: list
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/RunStepObject"
+        first_id:
+          type: string
+          example: step_abc123
+        last_id:
+          type: string
+          example: step_abc456
+        has_more:
+          type: boolean
+          example: false
+      required:
+        - object
+        - data
+        - first_id
+        - last_id
+        - has_more
+    ListRunsResponse:
+      type: object
+      properties:
+        object:
+          type: string
+          example: list
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/RunObject"
+        first_id:
+          type: string
+          example: run_abc123
+        last_id:
+          type: string
+          example: run_abc456
+        has_more:
+          type: boolean
+          example: false
+      required:
+        - object
+        - data
+        - first_id
+        - last_id
+        - has_more
+    ListThreadsResponse:
+      properties:
+        object:
+          type: string
+          example: list
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/ThreadObject"
+        first_id:
+          type: string
+          example: asst_abc123
+        last_id:
+          type: string
+          example: asst_abc456
+        has_more:
+          type: boolean
+          example: false
+      required:
+        - object
+        - data
+        - first_id
+        - last_id
+        - has_more
+    ListVectorStoreFilesResponse:
+      properties:
+        object:
+          type: string
+          example: list
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/VectorStoreFileObject"
+        first_id:
+          type: string
+          example: file-abc123
+        last_id:
+          type: string
+          example: file-abc456
+        has_more:
+          type: boolean
+          example: false
+      required:
+        - object
+        - data
+        - first_id
+        - last_id
+        - has_more
+    ListVectorStoresResponse:
+      properties:
+        object:
+          type: string
+          example: list
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/VectorStoreObject"
+        first_id:
+          type: string
+          example: vs_abc123
+        last_id:
+          type: string
+          example: vs_abc456
+        has_more:
+          type: boolean
+          example: false
+      required:
+        - object
+        - data
+        - first_id
+        - last_id
+        - has_more
+    LogProb:
+      allOf:
+        - $ref: "#/components/schemas/LogProbProperties"
+        - type: object
+          properties:
+            top_logprobs:
+              type: array
+              items:
+                $ref: "#/components/schemas/LogProbProperties"
+              nullable: true
+    LogProbProperties:
+      type: object
+      description: |
+        A log probability object.
+      properties:
+        token:
+          type: string
+          description: |
+            The token that was used to generate the log probability.
+        logprob:
+          type: number
+          description: |
+            The log probability of the token.
+        bytes:
+          type: array
+          items:
+            type: integer
+          description: |
+            The bytes that were used to generate the log probability.
+      required:
+        - token
+        - logprob
+        - bytes
+    MessageContentImageFileObject:
+      title: Image file
+      type: object
+      description: References an image [File](/docs/api-reference/files) in the
+        content of a message.
+      properties:
+        type:
+          description: Always `image_file`.
+          type: string
+          enum:
+            - image_file
+          x-stainless-const: true
+        image_file:
+          type: object
+          properties:
+            file_id:
+              description:
+                The [File](/docs/api-reference/files) ID of the image in the
+                message content. Set `purpose="vision"` when uploading the File
+                if you need to later display the file content.
+              type: string
+            detail:
+              type: string
+              description:
+                Specifies the detail level of the image if specified by the user.
+                `low` uses fewer tokens, you can opt in to high resolution using
+                `high`.
+              enum:
+                - auto
+                - low
+                - high
+              default: auto
+          required:
+            - file_id
+      required:
+        - type
+        - image_file
+    MessageContentImageUrlObject:
+      title: Image URL
+      type: object
+      description: References an image URL in the content of a message.
+      properties:
+        type:
+          type: string
+          enum:
+            - image_url
+          description: The type of the content part.
+          x-stainless-const: true
+        image_url:
+          type: object
+          properties:
+            url:
+              type: string
+              description:
+                "The external URL of the image, must be a supported image types:
+                jpeg, jpg, png, gif, webp."
+              format: uri
+            detail:
+              type: string
+              description:
+                Specifies the detail level of the image. `low` uses fewer tokens,
+                you can opt in to high resolution using `high`. Default value is
+                `auto`
+              enum:
+                - auto
+                - low
+                - high
+              default: auto
+          required:
+            - url
+      required:
+        - type
+        - image_url
+    MessageContentRefusalObject:
+      title: Refusal
+      type: object
+      description: The refusal content generated by the assistant.
+      properties:
+        type:
+          description: Always `refusal`.
+          type: string
+          enum:
+            - refusal
+          x-stainless-const: true
+        refusal:
+          type: string
+          nullable: false
+      required:
+        - type
+        - refusal
+    MessageContentTextAnnotationsFileCitationObject:
+      title: File citation
+      type: object
+      description:
+        A citation within the message that points to a specific quote from
+        a specific File associated with the assistant or the message. Generated
+        when the assistant uses the "file_search" tool to search files.
+      properties:
+        type:
+          description: Always `file_citation`.
+          type: string
+          enum:
+            - file_citation
+          x-stainless-const: true
+        text:
+          description: The text in the message content that needs to be replaced.
+          type: string
+        file_citation:
+          type: object
+          properties:
+            file_id:
+              description: The ID of the specific File the citation is from.
+              type: string
+          required:
+            - file_id
+        start_index:
+          type: integer
+          minimum: 0
+        end_index:
+          type: integer
+          minimum: 0
+      required:
+        - type
+        - text
+        - file_citation
+        - start_index
+        - end_index
+    MessageContentTextAnnotationsFilePathObject:
+      title: File path
+      type: object
+      description:
+        A URL for the file that's generated when the assistant used the
+        `code_interpreter` tool to generate a file.
+      properties:
+        type:
+          description: Always `file_path`.
+          type: string
+          enum:
+            - file_path
+          x-stainless-const: true
+        text:
+          description: The text in the message content that needs to be replaced.
+          type: string
+        file_path:
+          type: object
+          properties:
+            file_id:
+              description: The ID of the file that was generated.
+              type: string
+          required:
+            - file_id
+        start_index:
+          type: integer
+          minimum: 0
+        end_index:
+          type: integer
+          minimum: 0
+      required:
+        - type
+        - text
+        - file_path
+        - start_index
+        - end_index
+    MessageContentTextObject:
+      title: Text
+      type: object
+      description: The text content that is part of a message.
+      properties:
+        type:
+          description: Always `text`.
+          type: string
+          enum:
+            - text
+          x-stainless-const: true
+        text:
+          type: object
+          properties:
+            value:
+              description: The data that makes up the text.
+              type: string
+            annotations:
+              type: array
+              items:
+                oneOf:
+                  - $ref: "#/components/schemas/MessageContentTextAnnotationsFileCitationObject"
+                  - $ref: "#/components/schemas/MessageContentTextAnnotationsFilePathObject"
+                x-oaiExpandable: true
+          required:
+            - value
+            - annotations
+      required:
+        - type
+        - text
+    MessageDeltaContentImageFileObject:
+      title: Image file
+      type: object
+      description: References an image [File](/docs/api-reference/files) in the
+        content of a message.
+      properties:
+        index:
+          type: integer
+          description: The index of the content part in the message.
+        type:
+          description: Always `image_file`.
+          type: string
+          enum:
+            - image_file
+          x-stainless-const: true
+        image_file:
+          type: object
+          properties:
+            file_id:
+              description:
+                The [File](/docs/api-reference/files) ID of the image in the
+                message content. Set `purpose="vision"` when uploading the File
+                if you need to later display the file content.
+              type: string
+            detail:
+              type: string
+              description:
+                Specifies the detail level of the image if specified by the user.
+                `low` uses fewer tokens, you can opt in to high resolution using
+                `high`.
+              enum:
+                - auto
+                - low
+                - high
+              default: auto
+      required:
+        - index
+        - type
+    MessageDeltaContentImageUrlObject:
+      title: Image URL
+      type: object
+      description: References an image URL in the content of a message.
+      properties:
+        index:
+          type: integer
+          description: The index of the content part in the message.
+        type:
+          description: Always `image_url`.
+          type: string
+          enum:
+            - image_url
+          x-stainless-const: true
+        image_url:
+          type: object
+          properties:
+            url:
+              description:
+                "The URL of the image, must be a supported image types: jpeg, jpg,
+                png, gif, webp."
+              type: string
+            detail:
+              type: string
+              description:
+                Specifies the detail level of the image. `low` uses fewer tokens,
+                you can opt in to high resolution using `high`.
+              enum:
+                - auto
+                - low
+                - high
+              default: auto
+      required:
+        - index
+        - type
+    MessageDeltaContentRefusalObject:
+      title: Refusal
+      type: object
+      description: The refusal content that is part of a message.
+      properties:
+        index:
+          type: integer
+          description: The index of the refusal part in the message.
+        type:
+          description: Always `refusal`.
+          type: string
+          enum:
+            - refusal
+          x-stainless-const: true
+        refusal:
+          type: string
+      required:
+        - index
+        - type
+    MessageDeltaContentTextAnnotationsFileCitationObject:
+      title: File citation
+      type: object
+      description:
+        A citation within the message that points to a specific quote from
+        a specific File associated with the assistant or the message. Generated
+        when the assistant uses the "file_search" tool to search files.
+      properties:
+        index:
+          type: integer
+          description: The index of the annotation in the text content part.
+        type:
+          description: Always `file_citation`.
+          type: string
+          enum:
+            - file_citation
+          x-stainless-const: true
+        text:
+          description: The text in the message content that needs to be replaced.
+          type: string
+        file_citation:
+          type: object
+          properties:
+            file_id:
+              description: The ID of the specific File the citation is from.
+              type: string
+            quote:
+              description: The specific quote in the file.
+              type: string
+        start_index:
+          type: integer
+          minimum: 0
+        end_index:
+          type: integer
+          minimum: 0
+      required:
+        - index
+        - type
+    MessageDeltaContentTextAnnotationsFilePathObject:
+      title: File path
+      type: object
+      description:
+        A URL for the file that's generated when the assistant used the
+        `code_interpreter` tool to generate a file.
+      properties:
+        index:
+          type: integer
+          description: The index of the annotation in the text content part.
+        type:
+          description: Always `file_path`.
+          type: string
+          enum:
+            - file_path
+          x-stainless-const: true
+        text:
+          description: The text in the message content that needs to be replaced.
+          type: string
+        file_path:
+          type: object
+          properties:
+            file_id:
+              description: The ID of the file that was generated.
+              type: string
+        start_index:
+          type: integer
+          minimum: 0
+        end_index:
+          type: integer
+          minimum: 0
+      required:
+        - index
+        - type
+    MessageDeltaContentTextObject:
+      title: Text
+      type: object
+      description: The text content that is part of a message.
+      properties:
+        index:
+          type: integer
+          description: The index of the content part in the message.
+        type:
+          description: Always `text`.
+          type: string
+          enum:
+            - text
+          x-stainless-const: true
+        text:
+          type: object
+          properties:
+            value:
+              description: The data that makes up the text.
+              type: string
+            annotations:
+              type: array
+              items:
+                oneOf:
+                  - $ref:
+                      "#/components/schemas/MessageDeltaContentTextAnnotationsFileCitationObjec\
+                      t"
+                  - $ref: "#/components/schemas/MessageDeltaContentTextAnnotationsFilePathObject"
+                x-oaiExpandable: true
+      required:
+        - index
+        - type
+    MessageDeltaObject:
+      type: object
+      title: Message delta object
+      description: >
+        Represents a message delta i.e. any changed fields on a message during
+        streaming.
+      properties:
+        id:
+          description:
+            The identifier of the message, which can be referenced in API
+            endpoints.
+          type: string
+        object:
+          description: The object type, which is always `thread.message.delta`.
+          type: string
+          enum:
+            - thread.message.delta
+          x-stainless-const: true
+        delta:
+          description: The delta containing the fields that have changed on the Message.
+          type: object
+          properties:
+            role:
+              description: The entity that produced the message. One of `user` or `assistant`.
+              type: string
+              enum:
+                - user
+                - assistant
+            content:
+              description: The content of the message in array of text and/or images.
+              type: array
+              items:
+                oneOf:
+                  - $ref: "#/components/schemas/MessageDeltaContentImageFileObject"
+                  - $ref: "#/components/schemas/MessageDeltaContentTextObject"
+                  - $ref: "#/components/schemas/MessageDeltaContentRefusalObject"
+                  - $ref: "#/components/schemas/MessageDeltaContentImageUrlObject"
+                x-oaiExpandable: true
+      required:
+        - id
+        - object
+        - delta
+      x-oaiMeta:
+        name: The message delta object
+        beta: true
+        example: |
+          {
+            "id": "msg_123",
+            "object": "thread.message.delta",
+            "delta": {
+              "content": [
+                {
+                  "index": 0,
+                  "type": "text",
+                  "text": { "value": "Hello", "annotations": [] }
+                }
+              ]
+            }
+          }
+    MessageObject:
+      type: object
+      title: The message object
+      description: Represents a message within a [thread](/docs/api-reference/threads).
+      properties:
+        id:
+          description: The identifier, which can be referenced in API endpoints.
+          type: string
+        object:
+          description: The object type, which is always `thread.message`.
+          type: string
+          enum:
+            - thread.message
+          x-stainless-const: true
+        created_at:
+          description: The Unix timestamp (in seconds) for when the message was created.
+          type: integer
+        thread_id:
+          description:
+            The [thread](/docs/api-reference/threads) ID that this message
+            belongs to.
+          type: string
+        status:
+          description:
+            The status of the message, which can be either `in_progress`,
+            `incomplete`, or `completed`.
+          type: string
+          enum:
+            - in_progress
+            - incomplete
+            - completed
+        incomplete_details:
+          description:
+            On an incomplete message, details about why the message is
+            incomplete.
+          type: object
+          properties:
+            reason:
+              type: string
+              description: The reason the message is incomplete.
+              enum:
+                - content_filter
+                - max_tokens
+                - run_cancelled
+                - run_expired
+                - run_failed
+          nullable: true
+          required:
+            - reason
+        completed_at:
+          description: The Unix timestamp (in seconds) for when the message was completed.
+          type: integer
+          nullable: true
+        incomplete_at:
+          description:
+            The Unix timestamp (in seconds) for when the message was marked as
+            incomplete.
+          type: integer
+          nullable: true
+        role:
+          description: The entity that produced the message. One of `user` or `assistant`.
+          type: string
+          enum:
+            - user
+            - assistant
+        content:
+          description: The content of the message in array of text and/or images.
+          type: array
+          items:
+            oneOf:
+              - $ref: "#/components/schemas/MessageContentImageFileObject"
+              - $ref: "#/components/schemas/MessageContentImageUrlObject"
+              - $ref: "#/components/schemas/MessageContentTextObject"
+              - $ref: "#/components/schemas/MessageContentRefusalObject"
+            x-oaiExpandable: true
+        assistant_id:
+          description: If applicable, the ID of the
+            [assistant](/docs/api-reference/assistants) that authored this
+            message.
+          type: string
+          nullable: true
+        run_id:
+          description:
+            The ID of the [run](/docs/api-reference/runs) associated with the
+            creation of this message. Value is `null` when messages are created
+            manually using the create message or create thread endpoints.
+          type: string
+          nullable: true
+        attachments:
+          type: array
+          items:
+            type: object
+            properties:
+              file_id:
+                type: string
+                description: The ID of the file to attach to the message.
+              tools:
+                description: The tools to add this file to.
+                type: array
+                items:
+                  oneOf:
+                    - $ref: "#/components/schemas/AssistantToolsCode"
+                    - $ref: "#/components/schemas/AssistantToolsFileSearchTypeOnly"
+                  x-oaiExpandable: true
+          description:
+            A list of files attached to the message, and the tools they were
+            added to.
+          nullable: true
+        metadata:
+          $ref: "#/components/schemas/Metadata"
+      required:
+        - id
+        - object
+        - created_at
+        - thread_id
+        - status
+        - incomplete_details
+        - completed_at
+        - incomplete_at
+        - role
+        - content
+        - assistant_id
+        - run_id
+        - attachments
+        - metadata
+      x-oaiMeta:
+        name: The message object
+        beta: true
+        example: |
+          {
+            "id": "msg_abc123",
+            "object": "thread.message",
+            "created_at": 1698983503,
+            "thread_id": "thread_abc123",
+            "role": "assistant",
+            "content": [
+              {
+                "type": "text",
+                "text": {
+                  "value": "Hi! How can I help you today?",
+                  "annotations": []
+                }
+              }
+            ],
+            "assistant_id": "asst_abc123",
+            "run_id": "run_abc123",
+            "attachments": [],
+            "metadata": {}
+          }
+    MessageRequestContentTextObject:
+      title: Text
+      type: object
+      description: The text content that is part of a message.
+      properties:
+        type:
+          description: Always `text`.
+          type: string
+          enum:
+            - text
+          x-stainless-const: true
+        text:
+          type: string
+          description: Text content to be sent to the model
+      required:
+        - type
+        - text
+    MessageStreamEvent:
+      oneOf:
+        - type: object
+          properties:
+            event:
+              type: string
+              enum:
+                - thread.message.created
+              x-stainless-const: true
+            data:
+              $ref: "#/components/schemas/MessageObject"
+          required:
+            - event
+            - data
+          description:
+            Occurs when a [message](/docs/api-reference/messages/object) is
+            created.
+          x-oaiMeta:
+            dataDescription: "`data` is a [message](/docs/api-reference/messages/object)"
+        - type: object
+          properties:
+            event:
+              type: string
+              enum:
+                - thread.message.in_progress
+              x-stainless-const: true
+            data:
+              $ref: "#/components/schemas/MessageObject"
+          required:
+            - event
+            - data
+          description:
+            Occurs when a [message](/docs/api-reference/messages/object) moves
+            to an `in_progress` state.
+          x-oaiMeta:
+            dataDescription: "`data` is a [message](/docs/api-reference/messages/object)"
+        - type: object
+          properties:
+            event:
+              type: string
+              enum:
+                - thread.message.delta
+              x-stainless-const: true
+            data:
+              $ref: "#/components/schemas/MessageDeltaObject"
+          required:
+            - event
+            - data
+          description: Occurs when parts of a
+            [Message](/docs/api-reference/messages/object) are being streamed.
+          x-oaiMeta:
+            dataDescription: "`data` is a [message
+              delta](/docs/api-reference/assistants-streaming/message-delta-obj\
+              ect)"
+        - type: object
+          properties:
+            event:
+              type: string
+              enum:
+                - thread.message.completed
+              x-stainless-const: true
+            data:
+              $ref: "#/components/schemas/MessageObject"
+          required:
+            - event
+            - data
+          description:
+            Occurs when a [message](/docs/api-reference/messages/object) is
+            completed.
+          x-oaiMeta:
+            dataDescription: "`data` is a [message](/docs/api-reference/messages/object)"
+        - type: object
+          properties:
+            event:
+              type: string
+              enum:
+                - thread.message.incomplete
+              x-stainless-const: true
+            data:
+              $ref: "#/components/schemas/MessageObject"
+          required:
+            - event
+            - data
+          description:
+            Occurs when a [message](/docs/api-reference/messages/object) ends
+            before it is completed.
+          x-oaiMeta:
+            dataDescription: "`data` is a [message](/docs/api-reference/messages/object)"
+    Metadata:
+      type: object
+      description: >
+        Set of 16 key-value pairs that can be attached to an object. This can be
+
+        useful for storing additional information about the object in a
+        structured
+
+        format, and querying for objects via API or the dashboard. 
+
+
+        Keys are strings with a maximum length of 64 characters. Values are
+        strings
+
+        with a maximum length of 512 characters.
+      additionalProperties:
+        type: string
+      x-oaiTypeLabel: map
+      nullable: true
+    Model:
+      title: Model
+      description: Describes an OpenAI model offering that can be used with the API.
+      properties:
+        id:
+          type: string
+          description: The model identifier, which can be referenced in the API endpoints.
+        created:
+          type: integer
+          description: The Unix timestamp (in seconds) when the model was created.
+        object:
+          type: string
+          description: The object type, which is always "model".
+          enum:
+            - model
+          x-stainless-const: true
+        owned_by:
+          type: string
+          description: The organization that owns the model.
+      required:
+        - id
+        - object
+        - created
+        - owned_by
+      x-oaiMeta:
+        name: The model object
+        example: |
+          {
+            "id": "VAR_chat_model_id",
+            "object": "model",
+            "created": 1686935002,
+            "owned_by": "openai"
+          }
+    ModelIds:
+      anyOf:
+        - $ref: "#/components/schemas/ModelIdsShared"
+        - $ref: "#/components/schemas/ModelIdsResponses"
+    ModelIdsResponses:
+      example: gpt-4o
+      anyOf:
+        - $ref: "#/components/schemas/ModelIdsShared"
+        - type: string
+          enum:
+            - o1-pro
+            - o1-pro-2025-03-19
+            - computer-use-preview
+            - computer-use-preview-2025-03-11
+    ModelIdsShared:
+      example: gpt-4o
+      anyOf:
+        - type: string
+        - type: string
+          enum:
+            - o3-mini
+            - o3-mini-2025-01-31
+            - o1
+            - o1-2024-12-17
+            - o1-preview
+            - o1-preview-2024-09-12
+            - o1-mini
+            - o1-mini-2024-09-12
+            - gpt-4o
+            - gpt-4o-2024-11-20
+            - gpt-4o-2024-08-06
+            - gpt-4o-2024-05-13
+            - gpt-4o-audio-preview
+            - gpt-4o-audio-preview-2024-10-01
+            - gpt-4o-audio-preview-2024-12-17
+            - gpt-4o-mini-audio-preview
+            - gpt-4o-mini-audio-preview-2024-12-17
+            - gpt-4o-search-preview
+            - gpt-4o-mini-search-preview
+            - gpt-4o-search-preview-2025-03-11
+            - gpt-4o-mini-search-preview-2025-03-11
+            - chatgpt-4o-latest
+            - gpt-4o-mini
+            - gpt-4o-mini-2024-07-18
+            - gpt-4-turbo
+            - gpt-4-turbo-2024-04-09
+            - gpt-4-0125-preview
+            - gpt-4-turbo-preview
+            - gpt-4-1106-preview
+            - gpt-4-vision-preview
+            - gpt-4
+            - gpt-4-0314
+            - gpt-4-0613
+            - gpt-4-32k
+            - gpt-4-32k-0314
+            - gpt-4-32k-0613
+            - gpt-3.5-turbo
+            - gpt-3.5-turbo-16k
+            - gpt-3.5-turbo-0301
+            - gpt-3.5-turbo-0613
+            - gpt-3.5-turbo-1106
+            - gpt-3.5-turbo-0125
+            - gpt-3.5-turbo-16k-0613
+    ModelResponseProperties:
+      type: object
+      properties:
+        metadata:
+          $ref: "#/components/schemas/Metadata"
+        temperature:
+          type: number
+          minimum: 0
+          maximum: 2
+          default: 1
+          example: 1
+          nullable: true
+          description: >
+            What sampling temperature to use, between 0 and 2. Higher values
+            like 0.8 will make the output more random, while lower values like
+            0.2 will make it more focused and deterministic.
+
+            We generally recommend altering this or `top_p` but not both.
+        top_p:
+          type: number
+          minimum: 0
+          maximum: 1
+          default: 1
+          example: 1
+          nullable: true
+          description: >
+            An alternative to sampling with temperature, called nucleus
+            sampling,
+
+            where the model considers the results of the tokens with top_p
+            probability
+
+            mass. So 0.1 means only the tokens comprising the top 10%
+            probability mass
+
+            are considered.
+
+
+            We generally recommend altering this or `temperature` but not both.
+        user:
+          type: string
+          example: user-1234
+          description: >
+            A unique identifier representing your end-user, which can help
+            OpenAI to monitor and detect abuse. [Learn
+            more](/docs/guides/safety-best-practices#end-user-ids).
+    ModifyAssistantRequest:
+      type: object
+      additionalProperties: false
+      properties:
+        model:
+          description: >
+            ID of the model to use. You can use the [List
+            models](/docs/api-reference/models/list) API to see all of your
+            available models, or see our [Model overview](/docs/models) for
+            descriptions of them.
+          anyOf:
+            - type: string
+            - $ref: "#/components/schemas/AssistantSupportedModels"
+        reasoning_effort:
+          $ref: "#/components/schemas/ReasoningEffort"
+        name:
+          description: |
+            The name of the assistant. The maximum length is 256 characters.
+          type: string
+          nullable: true
+          maxLength: 256
+        description:
+          description: >
+            The description of the assistant. The maximum length is 512
+            characters.
+          type: string
+          nullable: true
+          maxLength: 512
+        instructions:
+          description: >
+            The system instructions that the assistant uses. The maximum length
+            is 256,000 characters.
+          type: string
+          nullable: true
+          maxLength: 256000
+        tools:
+          description: >
+            A list of tool enabled on the assistant. There can be a maximum of
+            128 tools per assistant. Tools can be of types `code_interpreter`,
+            `file_search`, or `function`.
+          default: []
+          type: array
+          maxItems: 128
+          items:
+            oneOf:
+              - $ref: "#/components/schemas/AssistantToolsCode"
+              - $ref: "#/components/schemas/AssistantToolsFileSearch"
+              - $ref: "#/components/schemas/AssistantToolsFunction"
+            x-oaiExpandable: true
+        tool_resources:
+          type: object
+          description: >
+            A set of resources that are used by the assistant's tools. The
+            resources are specific to the type of tool. For example, the
+            `code_interpreter` tool requires a list of file IDs, while the
+            `file_search` tool requires a list of vector store IDs.
+          properties:
+            code_interpreter:
+              type: object
+              properties:
+                file_ids:
+                  type: array
+                  description: >
+                    Overrides the list of [file](/docs/api-reference/files) IDs
+                    made available to the `code_interpreter` tool. There can be
+                    a maximum of 20 files associated with the tool.
+                  default: []
+                  maxItems: 20
+                  items:
+                    type: string
+            file_search:
+              type: object
+              properties:
+                vector_store_ids:
+                  type: array
+                  description: >
+                    Overrides the [vector
+                    store](/docs/api-reference/vector-stores/object) attached to
+                    this assistant. There can be a maximum of 1 vector store
+                    attached to the assistant.
+                  maxItems: 1
+                  items:
+                    type: string
+          nullable: true
+        metadata:
+          $ref: "#/components/schemas/Metadata"
+        temperature:
+          description: >
+            What sampling temperature to use, between 0 and 2. Higher values
+            like 0.8 will make the output more random, while lower values like
+            0.2 will make it more focused and deterministic.
+          type: number
+          minimum: 0
+          maximum: 2
+          default: 1
+          example: 1
+          nullable: true
+        top_p:
+          type: number
+          minimum: 0
+          maximum: 1
+          default: 1
+          example: 1
+          nullable: true
+          description: >
+            An alternative to sampling with temperature, called nucleus
+            sampling, where the model considers the results of the tokens with
+            top_p probability mass. So 0.1 means only the tokens comprising the
+            top 10% probability mass are considered.
+
+
+            We generally recommend altering this or temperature but not both.
+        response_format:
+          $ref: "#/components/schemas/AssistantsApiResponseFormatOption"
+          nullable: true
+    ModifyMessageRequest:
+      type: object
+      additionalProperties: false
+      properties:
+        metadata:
+          $ref: "#/components/schemas/Metadata"
+    ModifyRunRequest:
+      type: object
+      additionalProperties: false
+      properties:
+        metadata:
+          $ref: "#/components/schemas/Metadata"
+    ModifyThreadRequest:
+      type: object
+      additionalProperties: false
+      properties:
+        tool_resources:
+          type: object
+          description: >
+            A set of resources that are made available to the assistant's tools
+            in this thread. The resources are specific to the type of tool. For
+            example, the `code_interpreter` tool requires a list of file IDs,
+            while the `file_search` tool requires a list of vector store IDs.
+          properties:
+            code_interpreter:
+              type: object
+              properties:
+                file_ids:
+                  type: array
+                  description: >
+                    A list of [file](/docs/api-reference/files) IDs made
+                    available to the `code_interpreter` tool. There can be a
+                    maximum of 20 files associated with the tool.
+                  default: []
+                  maxItems: 20
+                  items:
+                    type: string
+            file_search:
+              type: object
+              properties:
+                vector_store_ids:
+                  type: array
+                  description: >
+                    The [vector store](/docs/api-reference/vector-stores/object)
+                    attached to this thread. There can be a maximum of 1 vector
+                    store attached to the thread.
+                  maxItems: 1
+                  items:
+                    type: string
+          nullable: true
+        metadata:
+          $ref: "#/components/schemas/Metadata"
+    Move:
+      type: object
+      title: Move
+      description: |
+        A mouse move action.
+      properties:
+        type:
+          type: string
+          enum:
+            - move
+          default: move
+          description: |
+            Specifies the event type. For a move action, this property is 
+            always set to `move`.
+          x-stainless-const: true
+        x:
+          type: integer
+          description: |
+            The x-coordinate to move to.
+        y:
+          type: integer
+          description: |
+            The y-coordinate to move to.
+      required:
+        - type
+        - x
+        - y
+    OpenAIFile:
+      title: OpenAIFile
+      description: The `File` object represents a document that has been uploaded to OpenAI.
+      properties:
+        id:
+          type: string
+          description: The file identifier, which can be referenced in the API endpoints.
+        bytes:
+          type: integer
+          description: The size of the file, in bytes.
+        created_at:
+          type: integer
+          description: The Unix timestamp (in seconds) for when the file was created.
+        expires_at:
+          type: integer
+          description: The Unix timestamp (in seconds) for when the file will expire.
+        filename:
+          type: string
+          description: The name of the file.
+        object:
+          type: string
+          description: The object type, which is always `file`.
+          enum:
+            - file
+          x-stainless-const: true
+        purpose:
+          type: string
+          description: The intended purpose of the file. Supported values are
+            `assistants`, `assistants_output`, `batch`, `batch_output`,
+            `fine-tune`, `fine-tune-results` and `vision`.
+          enum:
+            - assistants
+            - assistants_output
+            - batch
+            - batch_output
+            - fine-tune
+            - fine-tune-results
+            - vision
+        status:
+          type: string
+          deprecated: true
+          description:
+            Deprecated. The current status of the file, which can be either
+            `uploaded`, `processed`, or `error`.
+          enum:
+            - uploaded
+            - processed
+            - error
+        status_details:
+          type: string
+          deprecated: true
+          description:
+            Deprecated. For details on why a fine-tuning training file failed
+            validation, see the `error` field on `fine_tuning.job`.
+      required:
+        - id
+        - object
+        - bytes
+        - created_at
+        - filename
+        - purpose
+        - status
+      x-oaiMeta:
+        name: The file object
+        example: |
+          {
+            "id": "file-abc123",
+            "object": "file",
+            "bytes": 120000,
+            "created_at": 1677610602,
+            "expires_at": 1680202602,
+            "filename": "salesOverview.pdf",
+            "purpose": "assistants",
+          }
+    OtherChunkingStrategyResponseParam:
+      type: object
+      title: Other Chunking Strategy
+      description:
+        This is returned when the chunking strategy is unknown. Typically,
+        this is because the file was indexed before the `chunking_strategy`
+        concept was introduced in the API.
+      additionalProperties: false
+      properties:
+        type:
+          type: string
+          description: Always `other`.
+          enum:
+            - other
+          x-stainless-const: true
+      required:
+        - type
+    OutputAudio:
+      type: object
+      title: Output audio
+      description: |
+        An audio output from the model.
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the output audio. Always `output_audio`.
+          enum:
+            - output_audio
+          x-stainless-const: true
+        data:
+          type: string
+          description: |
+            Base64-encoded audio data from the model.
+        transcript:
+          type: string
+          description: |
+            The transcript of the audio data from the model.
+      required:
+        - type
+        - data
+        - transcript
+    OutputContent:
+      oneOf:
+        - $ref: "#/components/schemas/OutputText"
+        - $ref: "#/components/schemas/Refusal"
+    OutputItem:
+      anyOf:
+        - $ref: "#/components/schemas/OutputMessage"
+        - $ref: "#/components/schemas/FileSearchToolCall"
+        - $ref: "#/components/schemas/FunctionToolCall"
+        - $ref: "#/components/schemas/WebSearchToolCall"
+        - $ref: "#/components/schemas/ComputerToolCall"
+        - $ref: "#/components/schemas/ReasoningItem"
+      x-oaiExpandable: true
+      discriminator:
+        propertyName: type
+    OutputMessage:
+      type: object
+      title: Output message
+      description: |
+        An output message from the model.
+      properties:
+        id:
+          type: string
+          description: |
+            The unique ID of the output message.
+        type:
+          type: string
+          description: |
+            The type of the output message. Always `message`.
+          enum:
+            - message
+          x-stainless-const: true
+        role:
+          type: string
+          description: |
+            The role of the output message. Always `assistant`.
+          enum:
+            - assistant
+          x-stainless-const: true
+        content:
+          type: array
+          description: |
+            The content of the output message.
+          x-oaiExpandable: true
+          items:
+            x-oaiExpandable: true
+            $ref: "#/components/schemas/OutputContent"
+        status:
+          type: string
+          description: >
+            The status of the message input. One of `in_progress`, `completed`,
+            or
+
+            `incomplete`. Populated when input items are returned via API.
+          enum:
+            - in_progress
+            - completed
+            - incomplete
+      required:
+        - id
+        - type
+        - role
+        - content
+        - status
+    OutputText:
+      type: object
+      title: Output text
+      description: |
+        A text output from the model.
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the output text. Always `output_text`.
+          enum:
+            - output_text
+          x-stainless-const: true
+        text:
+          type: string
+          description: |
+            The text output from the model.
+        annotations:
+          type: array
+          description: |
+            The annotations of the text output.
+          items:
+            x-oaiExpandable: true
+            $ref: "#/components/schemas/Annotation"
+      required:
+        - type
+        - text
+        - annotations
+    ParallelToolCalls:
+      description: Whether to enable [parallel function
+        calling](/docs/guides/function-calling#configuring-parallel-function-calling)
+        during tool use.
+      type: boolean
+      default: true
+    PredictionContent:
+      type: object
+      title: Static Content
+      description: >
+        Static predicted output content, such as the content of a text file that
+        is
+
+        being regenerated.
+      required:
+        - type
+        - content
+      properties:
+        type:
+          type: string
+          enum:
+            - content
+          description: |
+            The type of the predicted content you want to provide. This type is
+            currently always `content`.
+          x-stainless-const: true
+        content:
+          x-oaiExpandable: true
+          description: >
+            The content that should be matched when generating a model response.
+
+            If generated tokens would match this content, the entire model
+            response
+
+            can be returned much more quickly.
+          oneOf:
+            - type: string
+              title: Text content
+              description: |
+                The content used for a Predicted Output. This is often the
+                text of a file you are regenerating with minor changes.
+            - type: array
+              description:
+                An array of content parts with a defined type. Supported options
+                differ based on the [model](/docs/models) being used to generate
+                the response. Can contain text inputs.
+              title: Array of content parts
+              items:
+                $ref: "#/components/schemas/ChatCompletionRequestMessageContentPartText"
+              minItems: 1
+    Project:
+      type: object
+      description: Represents an individual project.
+      properties:
+        id:
+          type: string
+          description: The identifier, which can be referenced in API endpoints
+        object:
+          type: string
+          enum:
+            - organization.project
+          description: The object type, which is always `organization.project`
+          x-stainless-const: true
+        name:
+          type: string
+          description: The name of the project. This appears in reporting.
+        created_at:
+          type: integer
+          description: The Unix timestamp (in seconds) of when the project was created.
+        archived_at:
+          type: integer
+          nullable: true
+          description:
+            The Unix timestamp (in seconds) of when the project was archived or
+            `null`.
+        status:
+          type: string
+          enum:
+            - active
+            - archived
+          description: "`active` or `archived`"
+      required:
+        - id
+        - object
+        - name
+        - created_at
+        - status
+      x-oaiMeta:
+        name: The project object
+        example: |
+          {
+              "id": "proj_abc",
+              "object": "organization.project",
+              "name": "Project example",
+              "created_at": 1711471533,
+              "archived_at": null,
+              "status": "active"
+          }
+    ProjectApiKey:
+      type: object
+      description: Represents an individual API key in a project.
+      properties:
+        object:
+          type: string
+          enum:
+            - organization.project.api_key
+          description: The object type, which is always `organization.project.api_key`
+          x-stainless-const: true
+        redacted_value:
+          type: string
+          description: The redacted value of the API key
+        name:
+          type: string
+          description: The name of the API key
+        created_at:
+          type: integer
+          description: The Unix timestamp (in seconds) of when the API key was created
+        id:
+          type: string
+          description: The identifier, which can be referenced in API endpoints
+        owner:
+          type: object
+          properties:
+            type:
+              type: string
+              enum:
+                - user
+                - service_account
+              description: "`user` or `service_account`"
+            user:
+              $ref: "#/components/schemas/ProjectUser"
+            service_account:
+              $ref: "#/components/schemas/ProjectServiceAccount"
+      required:
+        - object
+        - redacted_value
+        - name
+        - created_at
+        - id
+        - owner
+      x-oaiMeta:
+        name: The project API key object
+        example: |
+          {
+              "object": "organization.project.api_key",
+              "redacted_value": "sk-abc...def",
+              "name": "My API Key",
+              "created_at": 1711471533,
+              "id": "key_abc",
+              "owner": {
+                  "type": "user",
+                  "user": {
+                      "object": "organization.project.user",
+                      "id": "user_abc",
+                      "name": "First Last",
+                      "email": "user@example.com",
+                      "role": "owner",
+                      "created_at": 1711471533
+                  }
+              }
+          }
+    ProjectApiKeyDeleteResponse:
+      type: object
+      properties:
+        object:
+          type: string
+          enum:
+            - organization.project.api_key.deleted
+          x-stainless-const: true
+        id:
+          type: string
+        deleted:
+          type: boolean
+      required:
+        - object
+        - id
+        - deleted
+    ProjectApiKeyListResponse:
+      type: object
+      properties:
+        object:
+          type: string
+          enum:
+            - list
+          x-stainless-const: true
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/ProjectApiKey"
+        first_id:
+          type: string
+        last_id:
+          type: string
+        has_more:
+          type: boolean
+      required:
+        - object
+        - data
+        - first_id
+        - last_id
+        - has_more
+    ProjectCreateRequest:
+      type: object
+      properties:
+        name:
+          type: string
+          description: The friendly name of the project, this name appears in reports.
+      required:
+        - name
+    ProjectListResponse:
+      type: object
+      properties:
+        object:
+          type: string
+          enum:
+            - list
+          x-stainless-const: true
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/Project"
+        first_id:
+          type: string
+        last_id:
+          type: string
+        has_more:
+          type: boolean
+      required:
+        - object
+        - data
+        - first_id
+        - last_id
+        - has_more
+    ProjectRateLimit:
+      type: object
+      description: Represents a project rate limit config.
+      properties:
+        object:
+          type: string
+          enum:
+            - project.rate_limit
+          description: The object type, which is always `project.rate_limit`
+          x-stainless-const: true
+        id:
+          type: string
+          description: The identifier, which can be referenced in API endpoints.
+        model:
+          type: string
+          description: The model this rate limit applies to.
+        max_requests_per_1_minute:
+          type: integer
+          description: The maximum requests per minute.
+        max_tokens_per_1_minute:
+          type: integer
+          description: The maximum tokens per minute.
+        max_images_per_1_minute:
+          type: integer
+          description: The maximum images per minute. Only present for relevant models.
+        max_audio_megabytes_per_1_minute:
+          type: integer
+          description:
+            The maximum audio megabytes per minute. Only present for relevant
+            models.
+        max_requests_per_1_day:
+          type: integer
+          description: The maximum requests per day. Only present for relevant models.
+        batch_1_day_max_input_tokens:
+          type: integer
+          description:
+            The maximum batch input tokens per day. Only present for relevant
+            models.
+      required:
+        - object
+        - id
+        - model
+        - max_requests_per_1_minute
+        - max_tokens_per_1_minute
+      x-oaiMeta:
+        name: The project rate limit object
+        example: |
+          {
+              "object": "project.rate_limit",
+              "id": "rl_ada",
+              "model": "ada",
+              "max_requests_per_1_minute": 600,
+              "max_tokens_per_1_minute": 150000,
+              "max_images_per_1_minute": 10
+          }
+    ProjectRateLimitListResponse:
+      type: object
+      properties:
+        object:
+          type: string
+          enum:
+            - list
+          x-stainless-const: true
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/ProjectRateLimit"
+        first_id:
+          type: string
+        last_id:
+          type: string
+        has_more:
+          type: boolean
+      required:
+        - object
+        - data
+        - first_id
+        - last_id
+        - has_more
+    ProjectRateLimitUpdateRequest:
+      type: object
+      properties:
+        max_requests_per_1_minute:
+          type: integer
+          description: The maximum requests per minute.
+        max_tokens_per_1_minute:
+          type: integer
+          description: The maximum tokens per minute.
+        max_images_per_1_minute:
+          type: integer
+          description: The maximum images per minute. Only relevant for certain models.
+        max_audio_megabytes_per_1_minute:
+          type: integer
+          description:
+            The maximum audio megabytes per minute. Only relevant for certain
+            models.
+        max_requests_per_1_day:
+          type: integer
+          description: The maximum requests per day. Only relevant for certain models.
+        batch_1_day_max_input_tokens:
+          type: integer
+          description:
+            The maximum batch input tokens per day. Only relevant for certain
+            models.
+    ProjectServiceAccount:
+      type: object
+      description: Represents an individual service account in a project.
+      properties:
+        object:
+          type: string
+          enum:
+            - organization.project.service_account
+          description: The object type, which is always
+            `organization.project.service_account`
+          x-stainless-const: true
+        id:
+          type: string
+          description: The identifier, which can be referenced in API endpoints
+        name:
+          type: string
+          description: The name of the service account
+        role:
+          type: string
+          enum:
+            - owner
+            - member
+          description: "`owner` or `member`"
+        created_at:
+          type: integer
+          description:
+            The Unix timestamp (in seconds) of when the service account was
+            created
+      required:
+        - object
+        - id
+        - name
+        - role
+        - created_at
+      x-oaiMeta:
+        name: The project service account object
+        example: |
+          {
+              "object": "organization.project.service_account",
+              "id": "svc_acct_abc",
+              "name": "Service Account",
+              "role": "owner",
+              "created_at": 1711471533
+          }
+    ProjectServiceAccountApiKey:
+      type: object
+      properties:
+        object:
+          type: string
+          enum:
+            - organization.project.service_account.api_key
+          description: The object type, which is always
+            `organization.project.service_account.api_key`
+          x-stainless-const: true
+        value:
+          type: string
+        name:
+          type: string
+        created_at:
+          type: integer
+        id:
+          type: string
+      required:
+        - object
+        - value
+        - name
+        - created_at
+        - id
+    ProjectServiceAccountCreateRequest:
+      type: object
+      properties:
+        name:
+          type: string
+          description: The name of the service account being created.
+      required:
+        - name
+    ProjectServiceAccountCreateResponse:
+      type: object
+      properties:
+        object:
+          type: string
+          enum:
+            - organization.project.service_account
+          x-stainless-const: true
+        id:
+          type: string
+        name:
+          type: string
+        role:
+          type: string
+          enum:
+            - member
+          description: Service accounts can only have one role of type `member`
+          x-stainless-const: true
+        created_at:
+          type: integer
+        api_key:
+          $ref: "#/components/schemas/ProjectServiceAccountApiKey"
+      required:
+        - object
+        - id
+        - name
+        - role
+        - created_at
+        - api_key
+    ProjectServiceAccountDeleteResponse:
+      type: object
+      properties:
+        object:
+          type: string
+          enum:
+            - organization.project.service_account.deleted
+          x-stainless-const: true
+        id:
+          type: string
+        deleted:
+          type: boolean
+      required:
+        - object
+        - id
+        - deleted
+    ProjectServiceAccountListResponse:
+      type: object
+      properties:
+        object:
+          type: string
+          enum:
+            - list
+          x-stainless-const: true
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/ProjectServiceAccount"
+        first_id:
+          type: string
+        last_id:
+          type: string
+        has_more:
+          type: boolean
+      required:
+        - object
+        - data
+        - first_id
+        - last_id
+        - has_more
+    ProjectUpdateRequest:
+      type: object
+      properties:
+        name:
+          type: string
+          description: The updated name of the project, this name appears in reports.
+      required:
+        - name
+    ProjectUser:
+      type: object
+      description: Represents an individual user in a project.
+      properties:
+        object:
+          type: string
+          enum:
+            - organization.project.user
+          description: The object type, which is always `organization.project.user`
+          x-stainless-const: true
+        id:
+          type: string
+          description: The identifier, which can be referenced in API endpoints
+        name:
+          type: string
+          description: The name of the user
+        email:
+          type: string
+          description: The email address of the user
+        role:
+          type: string
+          enum:
+            - owner
+            - member
+          description: "`owner` or `member`"
+        added_at:
+          type: integer
+          description: The Unix timestamp (in seconds) of when the project was added.
+      required:
+        - object
+        - id
+        - name
+        - email
+        - role
+        - added_at
+      x-oaiMeta:
+        name: The project user object
+        example: |
+          {
+              "object": "organization.project.user",
+              "id": "user_abc",
+              "name": "First Last",
+              "email": "user@example.com",
+              "role": "owner",
+              "added_at": 1711471533
+          }
+    ProjectUserCreateRequest:
+      type: object
+      properties:
+        user_id:
+          type: string
+          description: The ID of the user.
+        role:
+          type: string
+          enum:
+            - owner
+            - member
+          description: "`owner` or `member`"
+      required:
+        - user_id
+        - role
+    ProjectUserDeleteResponse:
+      type: object
+      properties:
+        object:
+          type: string
+          enum:
+            - organization.project.user.deleted
+          x-stainless-const: true
+        id:
+          type: string
+        deleted:
+          type: boolean
+      required:
+        - object
+        - id
+        - deleted
+    ProjectUserListResponse:
+      type: object
+      properties:
+        object:
+          type: string
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/ProjectUser"
+        first_id:
+          type: string
+        last_id:
+          type: string
+        has_more:
+          type: boolean
+      required:
+        - object
+        - data
+        - first_id
+        - last_id
+        - has_more
+    ProjectUserUpdateRequest:
+      type: object
+      properties:
+        role:
+          type: string
+          enum:
+            - owner
+            - member
+          description: "`owner` or `member`"
+      required:
+        - role
+    RealtimeClientEvent:
+      discriminator:
+        propertyName: type
+      description: |
+        A realtime client event.
+      anyOf:
+        - $ref: "#/components/schemas/RealtimeClientEventConversationItemCreate"
+        - $ref: "#/components/schemas/RealtimeClientEventConversationItemDelete"
+        - $ref: "#/components/schemas/RealtimeClientEventConversationItemRetrieve"
+        - $ref: "#/components/schemas/RealtimeClientEventConversationItemTruncate"
+        - $ref: "#/components/schemas/RealtimeClientEventInputAudioBufferAppend"
+        - $ref: "#/components/schemas/RealtimeClientEventInputAudioBufferClear"
+        - $ref: "#/components/schemas/RealtimeClientEventInputAudioBufferCommit"
+        - $ref: "#/components/schemas/RealtimeClientEventResponseCancel"
+        - $ref: "#/components/schemas/RealtimeClientEventResponseCreate"
+        - $ref: "#/components/schemas/RealtimeClientEventSessionUpdate"
+        - $ref: "#/components/schemas/RealtimeClientEventTranscriptionSessionUpdate"
+    RealtimeClientEventConversationItemCreate:
+      type: object
+      description: >
+        Add a new Item to the Conversation's context, including messages,
+        function 
+
+        calls, and function call responses. This event can be used both to
+        populate a 
+
+        "history" of the conversation and to add new items mid-stream, but has
+        the 
+
+        current limitation that it cannot populate assistant audio messages.
+
+
+        If successful, the server will respond with a
+        `conversation.item.created` 
+
+        event, otherwise an `error` event will be sent.
+      properties:
+        event_id:
+          type: string
+          description: Optional client-generated ID used to identify this event.
+        type:
+          type: string
+          enum:
+            - conversation.item.create
+          description: The event type, must be `conversation.item.create`.
+          x-stainless-const: true
+        previous_item_id:
+          type: string
+          description: >
+            The ID of the preceding item after which the new item will be
+            inserted. 
+
+            If not set, the new item will be appended to the end of the
+            conversation.
+
+            If set to `root`, the new item will be added to the beginning of the
+            conversation.
+
+            If set to an existing ID, it allows an item to be inserted
+            mid-conversation. If the
+
+            ID cannot be found, an error will be returned and the item will not
+            be added.
+        item:
+          $ref: "#/components/schemas/RealtimeConversationItem"
+      required:
+        - type
+        - item
+      x-oaiMeta:
+        name: conversation.item.create
+        group: realtime
+        example: |
+          {
+              "event_id": "event_345",
+              "type": "conversation.item.create",
+              "previous_item_id": null,
+              "item": {
+                  "id": "msg_001",
+                  "type": "message",
+                  "role": "user",
+                  "content": [
+                      {
+                          "type": "input_text",
+                          "text": "Hello, how are you?"
+                      }
+                  ]
+              }
+          }
+    RealtimeClientEventConversationItemDelete:
+      type: object
+      description: >
+        Send this event when you want to remove any item from the conversation 
+
+        history. The server will respond with a `conversation.item.deleted`
+        event, 
+
+        unless the item does not exist in the conversation history, in which
+        case the 
+
+        server will respond with an error.
+      properties:
+        event_id:
+          type: string
+          description: Optional client-generated ID used to identify this event.
+        type:
+          type: string
+          enum:
+            - conversation.item.delete
+          description: The event type, must be `conversation.item.delete`.
+          x-stainless-const: true
+        item_id:
+          type: string
+          description: The ID of the item to delete.
+      required:
+        - type
+        - item_id
+      x-oaiMeta:
+        name: conversation.item.delete
+        group: realtime
+        example: |
+          {
+              "event_id": "event_901",
+              "type": "conversation.item.delete",
+              "item_id": "msg_003"
+          }
+    RealtimeClientEventConversationItemRetrieve:
+      type: object
+      description: >
+        Send this event when you want to retrieve the server's representation of
+        a specific item in the conversation history. This is useful, for
+        example, to inspect user audio after noise cancellation and VAD.
+
+        The server will respond with a `conversation.item.retrieved` event, 
+
+        unless the item does not exist in the conversation history, in which
+        case the 
+
+        server will respond with an error.
+      properties:
+        event_id:
+          type: string
+          description: Optional client-generated ID used to identify this event.
+        type:
+          type: string
+          enum:
+            - conversation.item.retrieve
+          description: The event type, must be `conversation.item.retrieve`.
+          x-stainless-const: true
+        item_id:
+          type: string
+          description: The ID of the item to retrieve.
+      required:
+        - type
+        - item_id
+      x-oaiMeta:
+        name: conversation.item.retrieve
+        group: realtime
+        example: |
+          {
+              "event_id": "event_901",
+              "type": "conversation.item.retrieve",
+              "item_id": "msg_003"
+          }
+    RealtimeClientEventConversationItemTruncate:
+      type: object
+      description: >
+        Send this event to truncate a previous assistant message’s audio. The
+        server 
+
+        will produce audio faster than realtime, so this event is useful when
+        the user 
+
+        interrupts to truncate audio that has already been sent to the client
+        but not 
+
+        yet played. This will synchronize the server's understanding of the
+        audio with 
+
+        the client's playback.
+
+
+        Truncating audio will delete the server-side text transcript to ensure
+        there 
+
+        is not text in the context that hasn't been heard by the user.
+
+
+        If successful, the server will respond with a
+        `conversation.item.truncated` 
+
+        event.
+      properties:
+        event_id:
+          type: string
+          description: Optional client-generated ID used to identify this event.
+        type:
+          type: string
+          enum:
+            - conversation.item.truncate
+          description: The event type, must be `conversation.item.truncate`.
+          x-stainless-const: true
+        item_id:
+          type: string
+          description: >
+            The ID of the assistant message item to truncate. Only assistant
+            message 
+
+            items can be truncated.
+        content_index:
+          type: integer
+          description: The index of the content part to truncate. Set this to 0.
+        audio_end_ms:
+          type: integer
+          description: >
+            Inclusive duration up to which audio is truncated, in milliseconds.
+            If 
+
+            the audio_end_ms is greater than the actual audio duration, the
+            server 
+
+            will respond with an error.
+      required:
+        - type
+        - item_id
+        - content_index
+        - audio_end_ms
+      x-oaiMeta:
+        name: conversation.item.truncate
+        group: realtime
+        example: |
+          {
+              "event_id": "event_678",
+              "type": "conversation.item.truncate",
+              "item_id": "msg_002",
+              "content_index": 0,
+              "audio_end_ms": 1500
+          }
+    RealtimeClientEventInputAudioBufferAppend:
+      type: object
+      description: >
+        Send this event to append audio bytes to the input audio buffer. The
+        audio 
+
+        buffer is temporary storage you can write to and later commit. In Server
+        VAD 
+
+        mode, the audio buffer is used to detect speech and the server will
+        decide 
+
+        when to commit. When Server VAD is disabled, you must commit the audio
+        buffer
+
+        manually.
+
+
+        The client may choose how much audio to place in each event up to a
+        maximum 
+
+        of 15 MiB, for example streaming smaller chunks from the client may
+        allow the 
+
+        VAD to be more responsive. Unlike made other client events, the server
+        will 
+
+        not send a confirmation response to this event.
+      properties:
+        event_id:
+          type: string
+          description: Optional client-generated ID used to identify this event.
+        type:
+          type: string
+          enum:
+            - input_audio_buffer.append
+          description: The event type, must be `input_audio_buffer.append`.
+          x-stainless-const: true
+        audio:
+          type: string
+          description: >
+            Base64-encoded audio bytes. This must be in the format specified by
+            the 
+
+            `input_audio_format` field in the session configuration.
+      required:
+        - type
+        - audio
+      x-oaiMeta:
+        name: input_audio_buffer.append
+        group: realtime
+        example: |
+          {
+              "event_id": "event_456",
+              "type": "input_audio_buffer.append",
+              "audio": "Base64EncodedAudioData"
+          }
+    RealtimeClientEventInputAudioBufferClear:
+      type: object
+      description: |
+        Send this event to clear the audio bytes in the buffer. The server will 
+        respond with an `input_audio_buffer.cleared` event.
+      properties:
+        event_id:
+          type: string
+          description: Optional client-generated ID used to identify this event.
+        type:
+          type: string
+          enum:
+            - input_audio_buffer.clear
+          description: The event type, must be `input_audio_buffer.clear`.
+          x-stainless-const: true
+      required:
+        - type
+      x-oaiMeta:
+        name: input_audio_buffer.clear
+        group: realtime
+        example: |
+          {
+              "event_id": "event_012",
+              "type": "input_audio_buffer.clear"
+          }
+    RealtimeClientEventInputAudioBufferCommit:
+      type: object
+      description: >
+        Send this event to commit the user input audio buffer, which will create
+        a 
+
+        new user message item in the conversation. This event will produce an
+        error 
+
+        if the input audio buffer is empty. When in Server VAD mode, the client
+        does 
+
+        not need to send this event, the server will commit the audio buffer 
+
+        automatically.
+
+
+        Committing the input audio buffer will trigger input audio
+        transcription 
+
+        (if enabled in session configuration), but it will not create a
+        response 
+
+        from the model. The server will respond with an
+        `input_audio_buffer.committed` 
+
+        event.
+      properties:
+        event_id:
+          type: string
+          description: Optional client-generated ID used to identify this event.
+        type:
+          type: string
+          enum:
+            - input_audio_buffer.commit
+          description: The event type, must be `input_audio_buffer.commit`.
+          x-stainless-const: true
+      required:
+        - type
+      x-oaiMeta:
+        name: input_audio_buffer.commit
+        group: realtime
+        example: |
+          {
+              "event_id": "event_789",
+              "type": "input_audio_buffer.commit"
+          }
+    RealtimeClientEventResponseCancel:
+      type: object
+      description: >
+        Send this event to cancel an in-progress response. The server will
+        respond 
+
+        with a `response.cancelled` event or an error if there is no response
+        to 
+
+        cancel.
+      properties:
+        event_id:
+          type: string
+          description: Optional client-generated ID used to identify this event.
+        type:
+          type: string
+          enum:
+            - response.cancel
+          description: The event type, must be `response.cancel`.
+          x-stainless-const: true
+        response_id:
+          type: string
+          description: |
+            A specific response ID to cancel - if not provided, will cancel an 
+            in-progress response in the default conversation.
+      required:
+        - type
+      x-oaiMeta:
+        name: response.cancel
+        group: realtime
+        example: |
+          {
+              "event_id": "event_567",
+              "type": "response.cancel"
+          }
+    RealtimeClientEventResponseCreate:
+      type: object
+      description: >
+        This event instructs the server to create a Response, which means
+        triggering 
+
+        model inference. When in Server VAD mode, the server will create
+        Responses 
+
+        automatically.
+
+
+        A Response will include at least one Item, and may have two, in which
+        case 
+
+        the second will be a function call. These Items will be appended to the 
+
+        conversation history.
+
+
+        The server will respond with a `response.created` event, events for
+        Items 
+
+        and content created, and finally a `response.done` event to indicate
+        the 
+
+        Response is complete.
+
+
+        The `response.create` event includes inference configuration like 
+
+        `instructions`, and `temperature`. These fields will override the
+        Session's 
+
+        configuration for this Response only.
+      properties:
+        event_id:
+          type: string
+          description: Optional client-generated ID used to identify this event.
+        type:
+          type: string
+          enum:
+            - response.create
+          description: The event type, must be `response.create`.
+          x-stainless-const: true
+        response:
+          $ref: "#/components/schemas/RealtimeResponseCreateParams"
+      required:
+        - type
+      x-oaiMeta:
+        name: response.create
+        group: realtime
+        example: |
+          {
+              "event_id": "event_234",
+              "type": "response.create",
+              "response": {
+                  "modalities": ["text", "audio"],
+                  "instructions": "Please assist the user.",
+                  "voice": "sage",
+                  "output_audio_format": "pcm16",
+                  "tools": [
+                      {
+                          "type": "function",
+                          "name": "calculate_sum",
+                          "description": "Calculates the sum of two numbers.",
+                          "parameters": {
+                              "type": "object",
+                              "properties": {
+                                  "a": { "type": "number" },
+                                  "b": { "type": "number" }
+                              },
+                              "required": ["a", "b"]
+                          }
+                      }
+                  ],
+                  "tool_choice": "auto",
+                  "temperature": 0.8,
+                  "max_output_tokens": 1024
+              }
+          }
+    RealtimeClientEventSessionUpdate:
+      type: object
+      description: >
+        Send this event to update the session’s default configuration.
+
+        The client may send this event at any time to update any field,
+
+        except for `voice`. However, note that once a session has been
+
+        initialized with a particular `model`, it can’t be changed to
+
+        another model using `session.update`.
+
+
+        When the server receives a `session.update`, it will respond
+
+        with a `session.updated` event showing the full, effective
+        configuration.
+
+        Only the fields that are present are updated. To clear a field like
+
+        `instructions`, pass an empty string.
+      properties:
+        event_id:
+          type: string
+          description: Optional client-generated ID used to identify this event.
+        type:
+          type: string
+          enum:
+            - session.update
+          description: The event type, must be `session.update`.
+          x-stainless-const: true
+        session:
+          $ref: "#/components/schemas/RealtimeSessionCreateRequest"
+      required:
+        - type
+        - session
+      x-oaiMeta:
+        name: session.update
+        group: realtime
+        example: |
+          {
+              "event_id": "event_123",
+              "type": "session.update",
+              "session": {
+                  "modalities": ["text", "audio"],
+                  "instructions": "You are a helpful assistant.",
+                  "voice": "sage",
+                  "input_audio_format": "pcm16",
+                  "output_audio_format": "pcm16",
+                  "input_audio_transcription": {
+                      "model": "whisper-1"
+                  },
+                  "turn_detection": {
+                      "type": "server_vad",
+                      "threshold": 0.5,
+                      "prefix_padding_ms": 300,
+                      "silence_duration_ms": 500,
+                      "create_response": true
+                  },
+                  "tools": [
+                      {
+                          "type": "function",
+                          "name": "get_weather",
+                          "description": "Get the current weather...",
+                          "parameters": {
+                              "type": "object",
+                              "properties": {
+                                  "location": { "type": "string" }
+                              },
+                              "required": ["location"]
+                          }
+                      }
+                  ],
+                  "tool_choice": "auto",
+                  "temperature": 0.8,
+                  "max_response_output_tokens": "inf"
+              }
+          }
+    RealtimeClientEventTranscriptionSessionUpdate:
+      type: object
+      description: |
+        Send this event to update a transcription session.
+      properties:
+        event_id:
+          type: string
+          description: Optional client-generated ID used to identify this event.
+        type:
+          type: string
+          enum:
+            - transcription_session.update
+          description: The event type, must be `transcription_session.update`.
+          x-stainless-const: true
+        session:
+          $ref: "#/components/schemas/RealtimeTranscriptionSessionCreateRequest"
+      required:
+        - type
+        - session
+      x-oaiMeta:
+        name: transcription_session.update
+        group: realtime
+        example: |
+          {
+            "type": "transcription_session.update",
+            "session": {
+              "input_audio_format": "pcm16",
+              "input_audio_transcription": {
+                "model": "gpt-4o-transcribe",
+                "prompt": "",
+                "language": ""
+              },
+              "turn_detection": {
+                "type": "server_vad",
+                "threshold": 0.5,
+                "prefix_padding_ms": 300,
+                "silence_duration_ms": 500,
+                "create_response": true,
+              },
+              "input_audio_noise_reduction": {
+                "type": "near_field"
+              },
+              "include": [
+                "item.input_audio_transcription.logprobs",
+              ]
+            }
+          }
+    RealtimeConversationItem:
+      type: object
+      x-oaiExpandable: true
+      description: The item to add to the conversation.
+      properties:
+        id:
+          type: string
+          description: >
+            The unique ID of the item, this can be generated by the client to
+            help 
+
+            manage server-side context, but is not required because the server
+            will 
+
+            generate one if not provided.
+        type:
+          type: string
+          enum:
+            - message
+            - function_call
+            - function_call_output
+          description: >
+            The type of the item (`message`, `function_call`,
+            `function_call_output`).
+        object:
+          type: string
+          enum:
+            - realtime.item
+          description: >
+            Identifier for the API object being returned - always
+            `realtime.item`.
+          x-stainless-const: true
+        status:
+          type: string
+          enum:
+            - completed
+            - incomplete
+          description: >
+            The status of the item (`completed`, `incomplete`). These have no
+            effect 
+
+            on the conversation, but are accepted for consistency with the 
+
+            `conversation.item.created` event.
+        role:
+          type: string
+          enum:
+            - user
+            - assistant
+            - system
+          description: >
+            The role of the message sender (`user`, `assistant`, `system`),
+            only 
+
+            applicable for `message` items.
+        content:
+          type: array
+          x-oaiExpandable: true
+          description: >
+            The content of the message, applicable for `message` items. 
+
+            - Message items of role `system` support only `input_text` content
+
+            - Message items of role `user` support `input_text` and
+            `input_audio` 
+              content
+            - Message items of role `assistant` support `text` content.
+          items:
+            type: object
+            x-oaiExpandable: true
+            properties:
+              type:
+                type: string
+                enum:
+                  - input_audio
+                  - input_text
+                  - item_reference
+                  - text
+                description: >
+                  The content type (`input_text`, `input_audio`,
+                  `item_reference`, `text`).
+              text:
+                type: string
+                description: >
+                  The text content, used for `input_text` and `text` content
+                  types.
+              id:
+                type: string
+                description: >
+                  ID of a previous conversation item to reference (for
+                  `item_reference`
+
+                  content types in `response.create` events). These can
+                  reference both
+
+                  client and server created items.
+              audio:
+                type: string
+                description: >
+                  Base64-encoded audio bytes, used for `input_audio` content
+                  type.
+              transcript:
+                type: string
+                description: >
+                  The transcript of the audio, used for `input_audio` content
+                  type.
+        call_id:
+          type: string
+          description: >
+            The ID of the function call (for `function_call` and 
+
+            `function_call_output` items). If passed on a
+            `function_call_output` 
+
+            item, the server will check that a `function_call` item with the
+            same 
+
+            ID exists in the conversation history.
+        name:
+          type: string
+          description: |
+            The name of the function being called (for `function_call` items).
+        arguments:
+          type: string
+          description: |
+            The arguments of the function call (for `function_call` items).
+        output:
+          type: string
+          description: |
+            The output of the function call (for `function_call_output` items).
+    RealtimeConversationItemWithReference:
+      type: object
+      x-oaiExpandable: true
+      description: The item to add to the conversation.
+      properties:
+        id:
+          type: string
+          description: >
+            For an item of type (`message` | `function_call` |
+            `function_call_output`)
+
+            this field allows the client to assign the unique ID of the item. It
+            is
+
+            not required because the server will generate one if not provided.
+
+
+            For an item of type `item_reference`, this field is required and is
+            a
+
+            reference to any item that has previously existed in the
+            conversation.
+        type:
+          type: string
+          enum:
+            - message
+            - function_call
+            - function_call_output
+          description: >
+            The type of the item (`message`, `function_call`,
+            `function_call_output`, `item_reference`).
+        object:
+          type: string
+          enum:
+            - realtime.item
+          description: >
+            Identifier for the API object being returned - always
+            `realtime.item`.
+          x-stainless-const: true
+        status:
+          type: string
+          enum:
+            - completed
+            - incomplete
+          description: >
+            The status of the item (`completed`, `incomplete`). These have no
+            effect 
+
+            on the conversation, but are accepted for consistency with the 
+
+            `conversation.item.created` event.
+        role:
+          type: string
+          enum:
+            - user
+            - assistant
+            - system
+          description: >
+            The role of the message sender (`user`, `assistant`, `system`),
+            only 
+
+            applicable for `message` items.
+        content:
+          type: array
+          x-oaiExpandable: true
+          description: >
+            The content of the message, applicable for `message` items. 
+
+            - Message items of role `system` support only `input_text` content
+
+            - Message items of role `user` support `input_text` and
+            `input_audio` 
+              content
+            - Message items of role `assistant` support `text` content.
+          items:
+            type: object
+            x-oaiExpandable: true
+            properties:
+              type:
+                type: string
+                enum:
+                  - input_audio
+                  - input_text
+                  - item_reference
+                  - text
+                description: >
+                  The content type (`input_text`, `input_audio`,
+                  `item_reference`, `text`).
+              text:
+                type: string
+                description: >
+                  The text content, used for `input_text` and `text` content
+                  types.
+              id:
+                type: string
+                description: >
+                  ID of a previous conversation item to reference (for
+                  `item_reference`
+
+                  content types in `response.create` events). These can
+                  reference both
+
+                  client and server created items.
+              audio:
+                type: string
+                description: >
+                  Base64-encoded audio bytes, used for `input_audio` content
+                  type.
+              transcript:
+                type: string
+                description: >
+                  The transcript of the audio, used for `input_audio` content
+                  type.
+        call_id:
+          type: string
+          description: >
+            The ID of the function call (for `function_call` and 
+
+            `function_call_output` items). If passed on a
+            `function_call_output` 
+
+            item, the server will check that a `function_call` item with the
+            same 
+
+            ID exists in the conversation history.
+        name:
+          type: string
+          description: |
+            The name of the function being called (for `function_call` items).
+        arguments:
+          type: string
+          description: |
+            The arguments of the function call (for `function_call` items).
+        output:
+          type: string
+          description: |
+            The output of the function call (for `function_call_output` items).
+    RealtimeResponse:
+      type: object
+      description: The response resource.
+      properties:
+        id:
+          type: string
+          description: The unique ID of the response.
+        object:
+          type: string
+          enum:
+            - realtime.response
+          description: The object type, must be `realtime.response`.
+          x-stainless-const: true
+        status:
+          type: string
+          enum:
+            - completed
+            - cancelled
+            - failed
+            - incomplete
+          description: >
+            The final status of the response (`completed`, `cancelled`,
+            `failed`, or 
+
+            `incomplete`).
+        status_details:
+          type: object
+          description: Additional details about the status.
+          properties:
+            type:
+              type: string
+              enum:
+                - completed
+                - cancelled
+                - failed
+                - incomplete
+              description: >
+                The type of error that caused the response to fail,
+                corresponding 
+
+                with the `status` field (`completed`, `cancelled`,
+                `incomplete`, 
+
+                `failed`).
+            reason:
+              type: string
+              enum:
+                - turn_detected
+                - client_cancelled
+                - max_output_tokens
+                - content_filter
+              description: >
+                The reason the Response did not complete. For a `cancelled`
+                Response, 
+
+                one of `turn_detected` (the server VAD detected a new start of
+                speech) 
+
+                or `client_cancelled` (the client sent a cancel event). For an 
+
+                `incomplete` Response, one of `max_output_tokens` or
+                `content_filter` 
+
+                (the server-side safety filter activated and cut off the
+                response).
+            error:
+              type: object
+              description: |
+                A description of the error that caused the response to fail, 
+                populated when the `status` is `failed`.
+              properties:
+                type:
+                  type: string
+                  description: The type of error.
+                code:
+                  type: string
+                  description: Error code, if any.
+        output:
+          type: array
+          description: The list of output items generated by the response.
+          items:
+            $ref: "#/components/schemas/RealtimeConversationItem"
+        metadata:
+          $ref: "#/components/schemas/Metadata"
+        usage:
+          type: object
+          description: >
+            Usage statistics for the Response, this will correspond to billing.
+            A 
+
+            Realtime API session will maintain a conversation context and append
+            new 
+
+            Items to the Conversation, thus output from previous turns (text
+            and 
+
+            audio tokens) will become the input for later turns.
+          properties:
+            total_tokens:
+              type: integer
+              description: >
+                The total number of tokens in the Response including input and
+                output 
+
+                text and audio tokens.
+            input_tokens:
+              type: integer
+              description: >
+                The number of input tokens used in the Response, including text
+                and 
+
+                audio tokens.
+            output_tokens:
+              type: integer
+              description: >
+                The number of output tokens sent in the Response, including text
+                and 
+
+                audio tokens.
+            input_token_details:
+              type: object
+              description: Details about the input tokens used in the Response.
+              properties:
+                cached_tokens:
+                  type: integer
+                  description: The number of cached tokens used in the Response.
+                text_tokens:
+                  type: integer
+                  description: The number of text tokens used in the Response.
+                audio_tokens:
+                  type: integer
+                  description: The number of audio tokens used in the Response.
+            output_token_details:
+              type: object
+              description: Details about the output tokens used in the Response.
+              properties:
+                text_tokens:
+                  type: integer
+                  description: The number of text tokens used in the Response.
+                audio_tokens:
+                  type: integer
+                  description: The number of audio tokens used in the Response.
+        conversation_id:
+          description: >
+            Which conversation the response is added to, determined by the
+            `conversation`
+
+            field in the `response.create` event. If `auto`, the response will
+            be added to
+
+            the default conversation and the value of `conversation_id` will be
+            an id like
+
+            `conv_1234`. If `none`, the response will not be added to any
+            conversation and
+
+            the value of `conversation_id` will be `null`. If responses are
+            being triggered
+
+            by server VAD, the response will be added to the default
+            conversation, thus
+
+            the `conversation_id` will be an id like `conv_1234`.
+          type: string
+        voice:
+          $ref: "#/components/schemas/VoiceIdsShared"
+          description: >
+            The voice the model used to respond.
+
+            Current voice options are `alloy`, `ash`, `ballad`, `coral`, `echo`,
+            `fable`,
+
+            `onyx`, `nova`, `sage`, `shimmer`, and `verse`.
+        modalities:
+          type: array
+          description: >
+            The set of modalities the model used to respond. If there are
+            multiple modalities,
+
+            the model will pick one, for example if `modalities` is `["text",
+            "audio"]`, the model
+
+            could be responding in either text or audio.
+          items:
+            type: string
+            enum:
+              - text
+              - audio
+        output_audio_format:
+          type: string
+          enum:
+            - pcm16
+            - g711_ulaw
+            - g711_alaw
+          description: >
+            The format of output audio. Options are `pcm16`, `g711_ulaw`, or
+            `g711_alaw`.
+        temperature:
+          type: number
+          description: >
+            Sampling temperature for the model, limited to [0.6, 1.2]. Defaults
+            to 0.8.
+        max_output_tokens:
+          oneOf:
+            - type: integer
+            - type: string
+              enum:
+                - inf
+              x-stainless-const: true
+          description: |
+            Maximum number of output tokens for a single assistant response,
+            inclusive of tool calls, that was used in this response.
+    RealtimeResponseCreateParams:
+      type: object
+      description: Create a new Realtime response with these parameters
+      properties:
+        modalities:
+          type: array
+          description: |
+            The set of modalities the model can respond with. To disable audio,
+            set this to ["text"].
+          items:
+            type: string
+            enum:
+              - text
+              - audio
+        instructions:
+          type: string
+          description: >
+            The default system instructions (i.e. system message) prepended to
+            model 
+
+            calls. This field allows the client to guide the model on desired 
+
+            responses. The model can be instructed on response content and
+            format, 
+
+            (e.g. "be extremely succinct", "act friendly", "here are examples of
+            good 
+
+            responses") and on audio behavior (e.g. "talk quickly", "inject
+            emotion 
+
+            into your voice", "laugh frequently"). The instructions are not
+            guaranteed 
+
+            to be followed by the model, but they provide guidance to the model
+            on the 
+
+            desired behavior.
+
+
+            Note that the server sets default instructions which will be used if
+            this 
+
+            field is not set and are visible in the `session.created` event at
+            the 
+
+            start of the session.
+        voice:
+          $ref: "#/components/schemas/VoiceIdsShared"
+          description: >
+            The voice the model uses to respond. Voice cannot be changed during
+            the 
+
+            session once the model has responded with audio at least once.
+            Current 
+
+            voice options are `alloy`, `ash`, `ballad`, `coral`, `echo`,
+            `fable`,
+
+            `onyx`, `nova`, `sage`, `shimmer`, and `verse`.
+        output_audio_format:
+          type: string
+          enum:
+            - pcm16
+            - g711_ulaw
+            - g711_alaw
+          description: >
+            The format of output audio. Options are `pcm16`, `g711_ulaw`, or
+            `g711_alaw`.
+        tools:
+          type: array
+          description: Tools (functions) available to the model.
+          items:
+            type: object
+            properties:
+              type:
+                type: string
+                enum:
+                  - function
+                description: The type of the tool, i.e. `function`.
+                x-stainless-const: true
+              name:
+                type: string
+                description: The name of the function.
+              description:
+                type: string
+                description: >
+                  The description of the function, including guidance on when
+                  and how 
+
+                  to call it, and guidance about what to tell the user when
+                  calling 
+
+                  (if anything).
+              parameters:
+                type: object
+                description: Parameters of the function in JSON Schema.
+        tool_choice:
+          type: string
+          description: >
+            How the model chooses tools. Options are `auto`, `none`, `required`,
+            or 
+
+            specify a function, like `{"type": "function", "function": {"name":
+            "my_function"}}`.
+        temperature:
+          type: number
+          description: >
+            Sampling temperature for the model, limited to [0.6, 1.2]. Defaults
+            to 0.8.
+        max_response_output_tokens:
+          oneOf:
+            - type: integer
+            - type: string
+              enum:
+                - inf
+              x-stainless-const: true
+          description: |
+            Maximum number of output tokens for a single assistant response,
+            inclusive of tool calls. Provide an integer between 1 and 4096 to
+            limit output tokens, or `inf` for the maximum available tokens for a
+            given model. Defaults to `inf`.
+        conversation:
+          description: >
+            Controls which conversation the response is added to. Currently
+            supports
+
+            `auto` and `none`, with `auto` as the default value. The `auto`
+            value
+
+            means that the contents of the response will be added to the default
+
+            conversation. Set this to `none` to create an out-of-band response
+            which 
+
+            will not add items to default conversation.
+          oneOf:
+            - type: string
+            - type: string
+              default: auto
+              enum:
+                - auto
+                - none
+        metadata:
+          $ref: "#/components/schemas/Metadata"
+        input:
+          type: array
+          description: >
+            Input items to include in the prompt for the model. Using this field
+
+            creates a new context for this Response instead of using the default
+
+            conversation. An empty array `[]` will clear the context for this
+            Response.
+
+            Note that this can include references to items from the default
+            conversation.
+          items:
+            $ref: "#/components/schemas/RealtimeConversationItemWithReference"
+    RealtimeServerEvent:
+      discriminator:
+        propertyName: type
+      description: |
+        A realtime server event.
+      anyOf:
+        - $ref: "#/components/schemas/RealtimeServerEventConversationCreated"
+        - $ref: "#/components/schemas/RealtimeServerEventConversationItemCreated"
+        - $ref: "#/components/schemas/RealtimeServerEventConversationItemDeleted"
+        - $ref:
+            "#/components/schemas/RealtimeServerEventConversationItemInputAudioTransc\
+            riptionCompleted"
+        - $ref:
+            "#/components/schemas/RealtimeServerEventConversationItemInputAudioTransc\
+            riptionDelta"
+        - $ref:
+            "#/components/schemas/RealtimeServerEventConversationItemInputAudioTransc\
+            riptionFailed"
+        - $ref: "#/components/schemas/RealtimeServerEventConversationItemRetrieved"
+        - $ref: "#/components/schemas/RealtimeServerEventConversationItemTruncated"
+        - $ref: "#/components/schemas/RealtimeServerEventError"
+        - $ref: "#/components/schemas/RealtimeServerEventInputAudioBufferCleared"
+        - $ref: "#/components/schemas/RealtimeServerEventInputAudioBufferCommitted"
+        - $ref: "#/components/schemas/RealtimeServerEventInputAudioBufferSpeechStarted"
+        - $ref: "#/components/schemas/RealtimeServerEventInputAudioBufferSpeechStopped"
+        - $ref: "#/components/schemas/RealtimeServerEventRateLimitsUpdated"
+        - $ref: "#/components/schemas/RealtimeServerEventResponseAudioDelta"
+        - $ref: "#/components/schemas/RealtimeServerEventResponseAudioDone"
+        - $ref: "#/components/schemas/RealtimeServerEventResponseAudioTranscriptDelta"
+        - $ref: "#/components/schemas/RealtimeServerEventResponseAudioTranscriptDone"
+        - $ref: "#/components/schemas/RealtimeServerEventResponseContentPartAdded"
+        - $ref: "#/components/schemas/RealtimeServerEventResponseContentPartDone"
+        - $ref: "#/components/schemas/RealtimeServerEventResponseCreated"
+        - $ref: "#/components/schemas/RealtimeServerEventResponseDone"
+        - $ref:
+            "#/components/schemas/RealtimeServerEventResponseFunctionCallArgumentsDel\
+            ta"
+        - $ref:
+            "#/components/schemas/RealtimeServerEventResponseFunctionCallArgumentsDon\
+            e"
+        - $ref: "#/components/schemas/RealtimeServerEventResponseOutputItemAdded"
+        - $ref: "#/components/schemas/RealtimeServerEventResponseOutputItemDone"
+        - $ref: "#/components/schemas/RealtimeServerEventResponseTextDelta"
+        - $ref: "#/components/schemas/RealtimeServerEventResponseTextDone"
+        - $ref: "#/components/schemas/RealtimeServerEventSessionCreated"
+        - $ref: "#/components/schemas/RealtimeServerEventSessionUpdated"
+        - $ref: "#/components/schemas/RealtimeServerEventTranscriptionSessionUpdated"
+    RealtimeServerEventConversationCreated:
+      type: object
+      description: >
+        Returned when a conversation is created. Emitted right after session
+        creation.
+      properties:
+        event_id:
+          type: string
+          description: The unique ID of the server event.
+        type:
+          type: string
+          enum:
+            - conversation.created
+          description: The event type, must be `conversation.created`.
+          x-stainless-const: true
+        conversation:
+          type: object
+          description: The conversation resource.
+          properties:
+            id:
+              type: string
+              description: The unique ID of the conversation.
+            object:
+              type: string
+              description: The object type, must be `realtime.conversation`.
+      required:
+        - event_id
+        - type
+        - conversation
+      x-oaiMeta:
+        name: conversation.created
+        group: realtime
+        example: |
+          {
+              "event_id": "event_9101",
+              "type": "conversation.created",
+              "conversation": {
+                  "id": "conv_001",
+                  "object": "realtime.conversation"
+              }
+          }
+    RealtimeServerEventConversationItemCreated:
+      type: object
+      description: >
+        Returned when a conversation item is created. There are several
+        scenarios that produce this event:
+          - The server is generating a Response, which if successful will produce 
+            either one or two Items, which will be of type `message` 
+            (role `assistant`) or type `function_call`.
+          - The input audio buffer has been committed, either by the client or the 
+            server (in `server_vad` mode). The server will take the content of the 
+            input audio buffer and add it to a new user message Item.
+          - The client has sent a `conversation.item.create` event to add a new Item 
+            to the Conversation.
+      properties:
+        event_id:
+          type: string
+          description: The unique ID of the server event.
+        type:
+          type: string
+          enum:
+            - conversation.item.created
+          description: The event type, must be `conversation.item.created`.
+          x-stainless-const: true
+        previous_item_id:
+          type: string
+          description: >
+            The ID of the preceding item in the Conversation context, allows
+            the 
+
+            client to understand the order of the conversation.
+        item:
+          $ref: "#/components/schemas/RealtimeConversationItem"
+      required:
+        - event_id
+        - type
+        - previous_item_id
+        - item
+      x-oaiMeta:
+        name: conversation.item.created
+        group: realtime
+        example: |
+          {
+              "event_id": "event_1920",
+              "type": "conversation.item.created",
+              "previous_item_id": "msg_002",
+              "item": {
+                  "id": "msg_003",
+                  "object": "realtime.item",
+                  "type": "message",
+                  "status": "completed",
+                  "role": "user",
+                  "content": []
+              }
+          }
+    RealtimeServerEventConversationItemDeleted:
+      type: object
+      description: >
+        Returned when an item in the conversation is deleted by the client with
+        a 
+
+        `conversation.item.delete` event. This event is used to synchronize the 
+
+        server's understanding of the conversation history with the client's
+        view.
+      properties:
+        event_id:
+          type: string
+          description: The unique ID of the server event.
+        type:
+          type: string
+          enum:
+            - conversation.item.deleted
+          description: The event type, must be `conversation.item.deleted`.
+          x-stainless-const: true
+        item_id:
+          type: string
+          description: The ID of the item that was deleted.
+      required:
+        - event_id
+        - type
+        - item_id
+      x-oaiMeta:
+        name: conversation.item.deleted
+        group: realtime
+        example: |
+          {
+              "event_id": "event_2728",
+              "type": "conversation.item.deleted",
+              "item_id": "msg_005"
+          }
+    RealtimeServerEventConversationItemInputAudioTranscriptionCompleted:
+      type: object
+      description: >
+        This event is the output of audio transcription for user audio written
+        to the 
+
+        user audio buffer. Transcription begins when the input audio buffer is 
+
+        committed by the client or server (in `server_vad` mode). Transcription
+        runs 
+
+        asynchronously with Response creation, so this event may come before or
+        after 
+
+        the Response events.
+
+
+        Realtime API models accept audio natively, and thus input transcription
+        is a 
+
+        separate process run on a separate ASR (Automatic Speech Recognition)
+        model, 
+
+        currently always `whisper-1`. Thus the transcript may diverge somewhat
+        from 
+
+        the model's interpretation, and should be treated as a rough guide.
+      properties:
+        event_id:
+          type: string
+          description: The unique ID of the server event.
+        type:
+          type: string
+          enum:
+            - conversation.item.input_audio_transcription.completed
+          description: |
+            The event type, must be
+            `conversation.item.input_audio_transcription.completed`.
+          x-stainless-const: true
+        item_id:
+          type: string
+          description: The ID of the user message item containing the audio.
+        content_index:
+          type: integer
+          description: The index of the content part containing the audio.
+        transcript:
+          type: string
+          description: The transcribed text.
+        logprobs:
+          type: array
+          description: The log probabilities of the transcription.
+          nullable: true
+          items:
+            $ref: "#/components/schemas/LogProbProperties"
+      required:
+        - event_id
+        - type
+        - item_id
+        - content_index
+        - transcript
+      x-oaiMeta:
+        name: conversation.item.input_audio_transcription.completed
+        group: realtime
+        example: |
+          {
+              "event_id": "event_2122",
+              "type": "conversation.item.input_audio_transcription.completed",
+              "item_id": "msg_003",
+              "content_index": 0,
+              "transcript": "Hello, how are you?"
+          }
+    RealtimeServerEventConversationItemInputAudioTranscriptionDelta:
+      type: object
+      description: >
+        Returned when the text value of an input audio transcription content
+        part is updated.
+      properties:
+        event_id:
+          type: string
+          description: The unique ID of the server event.
+        type:
+          type: string
+          enum:
+            - conversation.item.input_audio_transcription.delta
+          description: The event type, must be
+            `conversation.item.input_audio_transcription.delta`.
+          x-stainless-const: true
+        item_id:
+          type: string
+          description: The ID of the item.
+        content_index:
+          type: integer
+          description: The index of the content part in the item's content array.
+        delta:
+          type: string
+          description: The text delta.
+        logprobs:
+          type: array
+          description: The log probabilities of the transcription.
+          nullable: true
+          items:
+            $ref: "#/components/schemas/LogProbProperties"
+      required:
+        - event_id
+        - type
+        - item_id
+      x-oaiMeta:
+        name: conversation.item.input_audio_transcription.delta
+        group: realtime
+        example: |
+          {
+            "type": "conversation.item.input_audio_transcription.delta",
+            "event_id": "event_001",
+            "item_id": "item_001",
+            "content_index": 0,
+            "delta": "Hello"
+          }
+    RealtimeServerEventConversationItemInputAudioTranscriptionFailed:
+      type: object
+      description: >
+        Returned when input audio transcription is configured, and a
+        transcription 
+
+        request for a user message failed. These events are separate from other 
+
+        `error` events so that the client can identify the related Item.
+      properties:
+        event_id:
+          type: string
+          description: The unique ID of the server event.
+        type:
+          type: string
+          enum:
+            - conversation.item.input_audio_transcription.failed
+          description: |
+            The event type, must be
+            `conversation.item.input_audio_transcription.failed`.
+          x-stainless-const: true
+        item_id:
+          type: string
+          description: The ID of the user message item.
+        content_index:
+          type: integer
+          description: The index of the content part containing the audio.
+        error:
+          type: object
+          description: Details of the transcription error.
+          properties:
+            type:
+              type: string
+              description: The type of error.
+            code:
+              type: string
+              description: Error code, if any.
+            message:
+              type: string
+              description: A human-readable error message.
+            param:
+              type: string
+              description: Parameter related to the error, if any.
+      required:
+        - event_id
+        - type
+        - item_id
+        - content_index
+        - error
+      x-oaiMeta:
+        name: conversation.item.input_audio_transcription.failed
+        group: realtime
+        example: |
+          {
+              "event_id": "event_2324",
+              "type": "conversation.item.input_audio_transcription.failed",
+              "item_id": "msg_003",
+              "content_index": 0,
+              "error": {
+                  "type": "transcription_error",
+                  "code": "audio_unintelligible",
+                  "message": "The audio could not be transcribed.",
+                  "param": null
+              }
+          }
+    RealtimeServerEventConversationItemRetrieved:
+      type: object
+      description: >
+        Returned when a conversation item is retrieved with
+        `conversation.item.retrieve`.
+      properties:
+        event_id:
+          type: string
+          description: The unique ID of the server event.
+        type:
+          type: string
+          enum:
+            - conversation.item.retrieved
+          description: The event type, must be `conversation.item.retrieved`.
+          x-stainless-const: true
+        item:
+          $ref: "#/components/schemas/RealtimeConversationItem"
+      required:
+        - event_id
+        - type
+        - item
+      x-oaiMeta:
+        name: conversation.item.retrieved
+        group: realtime
+        example: |
+          {
+              "event_id": "event_1920",
+              "type": "conversation.item.created",
+              "previous_item_id": "msg_002",
+              "item": {
+                  "id": "msg_003",
+                  "object": "realtime.item",
+                  "type": "message",
+                  "status": "completed",
+                  "role": "user",
+                  "content": [
+                      {
+                          "type": "input_audio",
+                          "transcript": "hello how are you",
+                          "audio": "base64encodedaudio=="
+                      }
+                  ]
+              }
+          }
+    RealtimeServerEventConversationItemTruncated:
+      type: object
+      description: >
+        Returned when an earlier assistant audio message item is truncated by
+        the 
+
+        client with a `conversation.item.truncate` event. This event is used to 
+
+        synchronize the server's understanding of the audio with the client's
+        playback.
+
+
+        This action will truncate the audio and remove the server-side text
+        transcript 
+
+        to ensure there is no text in the context that hasn't been heard by the
+        user.
+      properties:
+        event_id:
+          type: string
+          description: The unique ID of the server event.
+        type:
+          type: string
+          enum:
+            - conversation.item.truncated
+          description: The event type, must be `conversation.item.truncated`.
+          x-stainless-const: true
+        item_id:
+          type: string
+          description: The ID of the assistant message item that was truncated.
+        content_index:
+          type: integer
+          description: The index of the content part that was truncated.
+        audio_end_ms:
+          type: integer
+          description: |
+            The duration up to which the audio was truncated, in milliseconds.
+      required:
+        - event_id
+        - type
+        - item_id
+        - content_index
+        - audio_end_ms
+      x-oaiMeta:
+        name: conversation.item.truncated
+        group: realtime
+        example: |
+          {
+              "event_id": "event_2526",
+              "type": "conversation.item.truncated",
+              "item_id": "msg_004",
+              "content_index": 0,
+              "audio_end_ms": 1500
+          }
+    RealtimeServerEventError:
+      type: object
+      description: >
+        Returned when an error occurs, which could be a client problem or a
+        server 
+
+        problem. Most errors are recoverable and the session will stay open, we 
+
+        recommend to implementors to monitor and log error messages by default.
+      properties:
+        event_id:
+          type: string
+          description: The unique ID of the server event.
+        type:
+          type: string
+          enum:
+            - error
+          description: The event type, must be `error`.
+          x-stainless-const: true
+        error:
+          type: object
+          description: Details of the error.
+          required:
+            - type
+            - message
+          properties:
+            type:
+              type: string
+              description: >
+                The type of error (e.g., "invalid_request_error",
+                "server_error").
+            code:
+              type: string
+              description: Error code, if any.
+              nullable: true
+            message:
+              type: string
+              description: A human-readable error message.
+            param:
+              type: string
+              description: Parameter related to the error, if any.
+              nullable: true
+            event_id:
+              type: string
+              description: >
+                The event_id of the client event that caused the error, if
+                applicable.
+              nullable: true
+      required:
+        - event_id
+        - type
+        - error
+      x-oaiMeta:
+        name: error
+        group: realtime
+        example: |
+          {
+              "event_id": "event_890",
+              "type": "error",
+              "error": {
+                  "type": "invalid_request_error",
+                  "code": "invalid_event",
+                  "message": "The 'type' field is missing.",
+                  "param": null,
+                  "event_id": "event_567"
+              }
+          }
+    RealtimeServerEventInputAudioBufferCleared:
+      type: object
+      description: |
+        Returned when the input audio buffer is cleared by the client with a 
+        `input_audio_buffer.clear` event.
+      properties:
+        event_id:
+          type: string
+          description: The unique ID of the server event.
+        type:
+          type: string
+          enum:
+            - input_audio_buffer.cleared
+          description: The event type, must be `input_audio_buffer.cleared`.
+          x-stainless-const: true
+      required:
+        - event_id
+        - type
+      x-oaiMeta:
+        name: input_audio_buffer.cleared
+        group: realtime
+        example: |
+          {
+              "event_id": "event_1314",
+              "type": "input_audio_buffer.cleared"
+          }
+    RealtimeServerEventInputAudioBufferCommitted:
+      type: object
+      description: >
+        Returned when an input audio buffer is committed, either by the client
+        or 
+
+        automatically in server VAD mode. The `item_id` property is the ID of
+        the user
+
+        message item that will be created, thus a `conversation.item.created`
+        event 
+
+        will also be sent to the client.
+      properties:
+        event_id:
+          type: string
+          description: The unique ID of the server event.
+        type:
+          type: string
+          enum:
+            - input_audio_buffer.committed
+          description: The event type, must be `input_audio_buffer.committed`.
+          x-stainless-const: true
+        previous_item_id:
+          type: string
+          description: >
+            The ID of the preceding item after which the new item will be
+            inserted.
+        item_id:
+          type: string
+          description: The ID of the user message item that will be created.
+      required:
+        - event_id
+        - type
+        - previous_item_id
+        - item_id
+      x-oaiMeta:
+        name: input_audio_buffer.committed
+        group: realtime
+        example: |
+          {
+              "event_id": "event_1121",
+              "type": "input_audio_buffer.committed",
+              "previous_item_id": "msg_001",
+              "item_id": "msg_002"
+          }
+    RealtimeServerEventInputAudioBufferSpeechStarted:
+      type: object
+      description: >
+        Sent by the server when in `server_vad` mode to indicate that speech has
+        been 
+
+        detected in the audio buffer. This can happen any time audio is added to
+        the 
+
+        buffer (unless speech is already detected). The client may want to use
+        this 
+
+        event to interrupt audio playback or provide visual feedback to the
+        user. 
+
+
+        The client should expect to receive a
+        `input_audio_buffer.speech_stopped` event 
+
+        when speech stops. The `item_id` property is the ID of the user message
+        item 
+
+        that will be created when speech stops and will also be included in the 
+
+        `input_audio_buffer.speech_stopped` event (unless the client manually
+        commits 
+
+        the audio buffer during VAD activation).
+      properties:
+        event_id:
+          type: string
+          description: The unique ID of the server event.
+        type:
+          type: string
+          enum:
+            - input_audio_buffer.speech_started
+          description: The event type, must be `input_audio_buffer.speech_started`.
+          x-stainless-const: true
+        audio_start_ms:
+          type: integer
+          description: >
+            Milliseconds from the start of all audio written to the buffer
+            during the 
+
+            session when speech was first detected. This will correspond to the 
+
+            beginning of audio sent to the model, and thus includes the 
+
+            `prefix_padding_ms` configured in the Session.
+        item_id:
+          type: string
+          description: >
+            The ID of the user message item that will be created when speech
+            stops.
+      required:
+        - event_id
+        - type
+        - audio_start_ms
+        - item_id
+      x-oaiMeta:
+        name: input_audio_buffer.speech_started
+        group: realtime
+        example: |
+          {
+              "event_id": "event_1516",
+              "type": "input_audio_buffer.speech_started",
+              "audio_start_ms": 1000,
+              "item_id": "msg_003"
+          }
+    RealtimeServerEventInputAudioBufferSpeechStopped:
+      type: object
+      description: >
+        Returned in `server_vad` mode when the server detects the end of speech
+        in 
+
+        the audio buffer. The server will also send an
+        `conversation.item.created` 
+
+        event with the user message item that is created from the audio buffer.
+      properties:
+        event_id:
+          type: string
+          description: The unique ID of the server event.
+        type:
+          type: string
+          enum:
+            - input_audio_buffer.speech_stopped
+          description: The event type, must be `input_audio_buffer.speech_stopped`.
+          x-stainless-const: true
+        audio_end_ms:
+          type: integer
+          description: >
+            Milliseconds since the session started when speech stopped. This
+            will 
+
+            correspond to the end of audio sent to the model, and thus includes
+            the 
+
+            `min_silence_duration_ms` configured in the Session.
+        item_id:
+          type: string
+          description: The ID of the user message item that will be created.
+      required:
+        - event_id
+        - type
+        - audio_end_ms
+        - item_id
+      x-oaiMeta:
+        name: input_audio_buffer.speech_stopped
+        group: realtime
+        example: |
+          {
+              "event_id": "event_1718",
+              "type": "input_audio_buffer.speech_stopped",
+              "audio_end_ms": 2000,
+              "item_id": "msg_003"
+          }
+    RealtimeServerEventRateLimitsUpdated:
+      type: object
+      description: >
+        Emitted at the beginning of a Response to indicate the updated rate
+        limits. 
+
+        When a Response is created some tokens will be "reserved" for the
+        output 
+
+        tokens, the rate limits shown here reflect that reservation, which is
+        then 
+
+        adjusted accordingly once the Response is completed.
+      properties:
+        event_id:
+          type: string
+          description: The unique ID of the server event.
+        type:
+          type: string
+          enum:
+            - rate_limits.updated
+          description: The event type, must be `rate_limits.updated`.
+          x-stainless-const: true
+        rate_limits:
+          type: array
+          description: List of rate limit information.
+          items:
+            type: object
+            properties:
+              name:
+                type: string
+                enum:
+                  - requests
+                  - tokens
+                description: |
+                  The name of the rate limit (`requests`, `tokens`).
+              limit:
+                type: integer
+                description: The maximum allowed value for the rate limit.
+              remaining:
+                type: integer
+                description: The remaining value before the limit is reached.
+              reset_seconds:
+                type: number
+                description: Seconds until the rate limit resets.
+      required:
+        - event_id
+        - type
+        - rate_limits
+      x-oaiMeta:
+        name: rate_limits.updated
+        group: realtime
+        example: |
+          {
+              "event_id": "event_5758",
+              "type": "rate_limits.updated",
+              "rate_limits": [
+                  {
+                      "name": "requests",
+                      "limit": 1000,
+                      "remaining": 999,
+                      "reset_seconds": 60
+                  },
+                  {
+                      "name": "tokens",
+                      "limit": 50000,
+                      "remaining": 49950,
+                      "reset_seconds": 60
+                  }
+              ]
+          }
+    RealtimeServerEventResponseAudioDelta:
+      type: object
+      description: Returned when the model-generated audio is updated.
+      properties:
+        event_id:
+          type: string
+          description: The unique ID of the server event.
+        type:
+          type: string
+          enum:
+            - response.audio.delta
+          description: The event type, must be `response.audio.delta`.
+          x-stainless-const: true
+        response_id:
+          type: string
+          description: The ID of the response.
+        item_id:
+          type: string
+          description: The ID of the item.
+        output_index:
+          type: integer
+          description: The index of the output item in the response.
+        content_index:
+          type: integer
+          description: The index of the content part in the item's content array.
+        delta:
+          type: string
+          description: Base64-encoded audio data delta.
+      required:
+        - event_id
+        - type
+        - response_id
+        - item_id
+        - output_index
+        - content_index
+        - delta
+      x-oaiMeta:
+        name: response.audio.delta
+        group: realtime
+        example: |
+          {
+              "event_id": "event_4950",
+              "type": "response.audio.delta",
+              "response_id": "resp_001",
+              "item_id": "msg_008",
+              "output_index": 0,
+              "content_index": 0,
+              "delta": "Base64EncodedAudioDelta"
+          }
+    RealtimeServerEventResponseAudioDone:
+      type: object
+      description: >
+        Returned when the model-generated audio is done. Also emitted when a
+        Response
+
+        is interrupted, incomplete, or cancelled.
+      properties:
+        event_id:
+          type: string
+          description: The unique ID of the server event.
+        type:
+          type: string
+          enum:
+            - response.audio.done
+          description: The event type, must be `response.audio.done`.
+          x-stainless-const: true
+        response_id:
+          type: string
+          description: The ID of the response.
+        item_id:
+          type: string
+          description: The ID of the item.
+        output_index:
+          type: integer
+          description: The index of the output item in the response.
+        content_index:
+          type: integer
+          description: The index of the content part in the item's content array.
+      required:
+        - event_id
+        - type
+        - response_id
+        - item_id
+        - output_index
+        - content_index
+      x-oaiMeta:
+        name: response.audio.done
+        group: realtime
+        example: |
+          {
+              "event_id": "event_5152",
+              "type": "response.audio.done",
+              "response_id": "resp_001",
+              "item_id": "msg_008",
+              "output_index": 0,
+              "content_index": 0
+          }
+    RealtimeServerEventResponseAudioTranscriptDelta:
+      type: object
+      description: >
+        Returned when the model-generated transcription of audio output is
+        updated.
+      properties:
+        event_id:
+          type: string
+          description: The unique ID of the server event.
+        type:
+          type: string
+          enum:
+            - response.audio_transcript.delta
+          description: The event type, must be `response.audio_transcript.delta`.
+          x-stainless-const: true
+        response_id:
+          type: string
+          description: The ID of the response.
+        item_id:
+          type: string
+          description: The ID of the item.
+        output_index:
+          type: integer
+          description: The index of the output item in the response.
+        content_index:
+          type: integer
+          description: The index of the content part in the item's content array.
+        delta:
+          type: string
+          description: The transcript delta.
+      required:
+        - event_id
+        - type
+        - response_id
+        - item_id
+        - output_index
+        - content_index
+        - delta
+      x-oaiMeta:
+        name: response.audio_transcript.delta
+        group: realtime
+        example: |
+          {
+              "event_id": "event_4546",
+              "type": "response.audio_transcript.delta",
+              "response_id": "resp_001",
+              "item_id": "msg_008",
+              "output_index": 0,
+              "content_index": 0,
+              "delta": "Hello, how can I a"
+          }
+    RealtimeServerEventResponseAudioTranscriptDone:
+      type: object
+      description: |
+        Returned when the model-generated transcription of audio output is done
+        streaming. Also emitted when a Response is interrupted, incomplete, or
+        cancelled.
+      properties:
+        event_id:
+          type: string
+          description: The unique ID of the server event.
+        type:
+          type: string
+          enum:
+            - response.audio_transcript.done
+          description: The event type, must be `response.audio_transcript.done`.
+          x-stainless-const: true
+        response_id:
+          type: string
+          description: The ID of the response.
+        item_id:
+          type: string
+          description: The ID of the item.
+        output_index:
+          type: integer
+          description: The index of the output item in the response.
+        content_index:
+          type: integer
+          description: The index of the content part in the item's content array.
+        transcript:
+          type: string
+          description: The final transcript of the audio.
+      required:
+        - event_id
+        - type
+        - response_id
+        - item_id
+        - output_index
+        - content_index
+        - transcript
+      x-oaiMeta:
+        name: response.audio_transcript.done
+        group: realtime
+        example: |
+          {
+              "event_id": "event_4748",
+              "type": "response.audio_transcript.done",
+              "response_id": "resp_001",
+              "item_id": "msg_008",
+              "output_index": 0,
+              "content_index": 0,
+              "transcript": "Hello, how can I assist you today?"
+          }
+    RealtimeServerEventResponseContentPartAdded:
+      type: object
+      description: >
+        Returned when a new content part is added to an assistant message item
+        during
+
+        response generation.
+      properties:
+        event_id:
+          type: string
+          description: The unique ID of the server event.
+        type:
+          type: string
+          enum:
+            - response.content_part.added
+          description: The event type, must be `response.content_part.added`.
+          x-stainless-const: true
+        response_id:
+          type: string
+          description: The ID of the response.
+        item_id:
+          type: string
+          description: The ID of the item to which the content part was added.
+        output_index:
+          type: integer
+          description: The index of the output item in the response.
+        content_index:
+          type: integer
+          description: The index of the content part in the item's content array.
+        part:
+          type: object
+          description: The content part that was added.
+          properties:
+            type:
+              type: string
+              enum:
+                - audio
+                - text
+              description: The content type ("text", "audio").
+            text:
+              type: string
+              description: The text content (if type is "text").
+            audio:
+              type: string
+              description: Base64-encoded audio data (if type is "audio").
+            transcript:
+              type: string
+              description: The transcript of the audio (if type is "audio").
+      required:
+        - event_id
+        - type
+        - response_id
+        - item_id
+        - output_index
+        - content_index
+        - part
+      x-oaiMeta:
+        name: response.content_part.added
+        group: realtime
+        example: |
+          {
+              "event_id": "event_3738",
+              "type": "response.content_part.added",
+              "response_id": "resp_001",
+              "item_id": "msg_007",
+              "output_index": 0,
+              "content_index": 0,
+              "part": {
+                  "type": "text",
+                  "text": ""
+              }
+          }
+    RealtimeServerEventResponseContentPartDone:
+      type: object
+      description: >
+        Returned when a content part is done streaming in an assistant message
+        item.
+
+        Also emitted when a Response is interrupted, incomplete, or cancelled.
+      properties:
+        event_id:
+          type: string
+          description: The unique ID of the server event.
+        type:
+          type: string
+          enum:
+            - response.content_part.done
+          description: The event type, must be `response.content_part.done`.
+          x-stainless-const: true
+        response_id:
+          type: string
+          description: The ID of the response.
+        item_id:
+          type: string
+          description: The ID of the item.
+        output_index:
+          type: integer
+          description: The index of the output item in the response.
+        content_index:
+          type: integer
+          description: The index of the content part in the item's content array.
+        part:
+          type: object
+          description: The content part that is done.
+          properties:
+            type:
+              type: string
+              enum:
+                - audio
+                - text
+              description: The content type ("text", "audio").
+            text:
+              type: string
+              description: The text content (if type is "text").
+            audio:
+              type: string
+              description: Base64-encoded audio data (if type is "audio").
+            transcript:
+              type: string
+              description: The transcript of the audio (if type is "audio").
+      required:
+        - event_id
+        - type
+        - response_id
+        - item_id
+        - output_index
+        - content_index
+        - part
+      x-oaiMeta:
+        name: response.content_part.done
+        group: realtime
+        example: |
+          {
+              "event_id": "event_3940",
+              "type": "response.content_part.done",
+              "response_id": "resp_001",
+              "item_id": "msg_007",
+              "output_index": 0,
+              "content_index": 0,
+              "part": {
+                  "type": "text",
+                  "text": "Sure, I can help with that."
+              }
+          }
+    RealtimeServerEventResponseCreated:
+      type: object
+      description: >
+        Returned when a new Response is created. The first event of response
+        creation,
+
+        where the response is in an initial state of `in_progress`.
+      properties:
+        event_id:
+          type: string
+          description: The unique ID of the server event.
+        type:
+          type: string
+          enum:
+            - response.created
+          description: The event type, must be `response.created`.
+          x-stainless-const: true
+        response:
+          $ref: "#/components/schemas/RealtimeResponse"
+      required:
+        - event_id
+        - type
+        - response
+      x-oaiMeta:
+        name: response.created
+        group: realtime
+        example: |
+          {
+              "event_id": "event_2930",
+              "type": "response.created",
+              "response": {
+                  "id": "resp_001",
+                  "object": "realtime.response",
+                  "status": "in_progress",
+                  "status_details": null,
+                  "output": [],
+                  "usage": null
+              }
+          }
+    RealtimeServerEventResponseDone:
+      type: object
+      description: >
+        Returned when a Response is done streaming. Always emitted, no matter
+        the 
+
+        final state. The Response object included in the `response.done` event
+        will 
+
+        include all output Items in the Response but will omit the raw audio
+        data.
+      properties:
+        event_id:
+          type: string
+          description: The unique ID of the server event.
+        type:
+          type: string
+          enum:
+            - response.done
+          description: The event type, must be `response.done`.
+          x-stainless-const: true
+        response:
+          $ref: "#/components/schemas/RealtimeResponse"
+      required:
+        - event_id
+        - type
+        - response
+      x-oaiMeta:
+        name: response.done
+        group: realtime
+        example: |
+          {
+              "event_id": "event_3132",
+              "type": "response.done",
+              "response": {
+                  "id": "resp_001",
+                  "object": "realtime.response",
+                  "status": "completed",
+                  "status_details": null,
+                  "output": [
+                      {
+                          "id": "msg_006",
+                          "object": "realtime.item",
+                          "type": "message",
+                          "status": "completed",
+                          "role": "assistant",
+                          "content": [
+                              {
+                                  "type": "text",
+                                  "text": "Sure, how can I assist you today?"
+                              }
+                          ]
+                      }
+                  ],
+                  "usage": {
+                      "total_tokens":275,
+                      "input_tokens":127,
+                      "output_tokens":148,
+                      "input_token_details": {
+                          "cached_tokens":384,
+                          "text_tokens":119,
+                          "audio_tokens":8,
+                          "cached_tokens_details": {
+                              "text_tokens": 128,
+                              "audio_tokens": 256
+                          }
+                      },
+                      "output_token_details": {
+                        "text_tokens":36,
+                        "audio_tokens":112
+                      }
+                  }
+              }
+          }
+    RealtimeServerEventResponseFunctionCallArgumentsDelta:
+      type: object
+      description: |
+        Returned when the model-generated function call arguments are updated.
+      properties:
+        event_id:
+          type: string
+          description: The unique ID of the server event.
+        type:
+          type: string
+          enum:
+            - response.function_call_arguments.delta
+          description: |
+            The event type, must be `response.function_call_arguments.delta`.
+          x-stainless-const: true
+        response_id:
+          type: string
+          description: The ID of the response.
+        item_id:
+          type: string
+          description: The ID of the function call item.
+        output_index:
+          type: integer
+          description: The index of the output item in the response.
+        call_id:
+          type: string
+          description: The ID of the function call.
+        delta:
+          type: string
+          description: The arguments delta as a JSON string.
+      required:
+        - event_id
+        - type
+        - response_id
+        - item_id
+        - output_index
+        - call_id
+        - delta
+      x-oaiMeta:
+        name: response.function_call_arguments.delta
+        group: realtime
+        example: |
+          {
+              "event_id": "event_5354",
+              "type": "response.function_call_arguments.delta",
+              "response_id": "resp_002",
+              "item_id": "fc_001",
+              "output_index": 0,
+              "call_id": "call_001",
+              "delta": "{\"location\": \"San\""
+          }
+    RealtimeServerEventResponseFunctionCallArgumentsDone:
+      type: object
+      description: >
+        Returned when the model-generated function call arguments are done
+        streaming.
+
+        Also emitted when a Response is interrupted, incomplete, or cancelled.
+      properties:
+        event_id:
+          type: string
+          description: The unique ID of the server event.
+        type:
+          type: string
+          enum:
+            - response.function_call_arguments.done
+          description: |
+            The event type, must be `response.function_call_arguments.done`.
+          x-stainless-const: true
+        response_id:
+          type: string
+          description: The ID of the response.
+        item_id:
+          type: string
+          description: The ID of the function call item.
+        output_index:
+          type: integer
+          description: The index of the output item in the response.
+        call_id:
+          type: string
+          description: The ID of the function call.
+        arguments:
+          type: string
+          description: The final arguments as a JSON string.
+      required:
+        - event_id
+        - type
+        - response_id
+        - item_id
+        - output_index
+        - call_id
+        - arguments
+      x-oaiMeta:
+        name: response.function_call_arguments.done
+        group: realtime
+        example: |
+          {
+              "event_id": "event_5556",
+              "type": "response.function_call_arguments.done",
+              "response_id": "resp_002",
+              "item_id": "fc_001",
+              "output_index": 0,
+              "call_id": "call_001",
+              "arguments": "{\"location\": \"San Francisco\"}"
+          }
+    RealtimeServerEventResponseOutputItemAdded:
+      type: object
+      description: Returned when a new Item is created during Response generation.
+      properties:
+        event_id:
+          type: string
+          description: The unique ID of the server event.
+        type:
+          type: string
+          enum:
+            - response.output_item.added
+          description: The event type, must be `response.output_item.added`.
+          x-stainless-const: true
+        response_id:
+          type: string
+          description: The ID of the Response to which the item belongs.
+        output_index:
+          type: integer
+          description: The index of the output item in the Response.
+        item:
+          $ref: "#/components/schemas/RealtimeConversationItem"
+      required:
+        - event_id
+        - type
+        - response_id
+        - output_index
+        - item
+      x-oaiMeta:
+        name: response.output_item.added
+        group: realtime
+        example: |
+          {
+              "event_id": "event_3334",
+              "type": "response.output_item.added",
+              "response_id": "resp_001",
+              "output_index": 0,
+              "item": {
+                  "id": "msg_007",
+                  "object": "realtime.item",
+                  "type": "message",
+                  "status": "in_progress",
+                  "role": "assistant",
+                  "content": []
+              }
+          }
+    RealtimeServerEventResponseOutputItemDone:
+      type: object
+      description: >
+        Returned when an Item is done streaming. Also emitted when a Response
+        is 
+
+        interrupted, incomplete, or cancelled.
+      properties:
+        event_id:
+          type: string
+          description: The unique ID of the server event.
+        type:
+          type: string
+          enum:
+            - response.output_item.done
+          description: The event type, must be `response.output_item.done`.
+          x-stainless-const: true
+        response_id:
+          type: string
+          description: The ID of the Response to which the item belongs.
+        output_index:
+          type: integer
+          description: The index of the output item in the Response.
+        item:
+          $ref: "#/components/schemas/RealtimeConversationItem"
+      required:
+        - event_id
+        - type
+        - response_id
+        - output_index
+        - item
+      x-oaiMeta:
+        name: response.output_item.done
+        group: realtime
+        example: |
+          {
+              "event_id": "event_3536",
+              "type": "response.output_item.done",
+              "response_id": "resp_001",
+              "output_index": 0,
+              "item": {
+                  "id": "msg_007",
+                  "object": "realtime.item",
+                  "type": "message",
+                  "status": "completed",
+                  "role": "assistant",
+                  "content": [
+                      {
+                          "type": "text",
+                          "text": "Sure, I can help with that."
+                      }
+                  ]
+              }
+          }
+    RealtimeServerEventResponseTextDelta:
+      type: object
+      description: Returned when the text value of a "text" content part is updated.
+      properties:
+        event_id:
+          type: string
+          description: The unique ID of the server event.
+        type:
+          type: string
+          enum:
+            - response.text.delta
+          description: The event type, must be `response.text.delta`.
+          x-stainless-const: true
+        response_id:
+          type: string
+          description: The ID of the response.
+        item_id:
+          type: string
+          description: The ID of the item.
+        output_index:
+          type: integer
+          description: The index of the output item in the response.
+        content_index:
+          type: integer
+          description: The index of the content part in the item's content array.
+        delta:
+          type: string
+          description: The text delta.
+      required:
+        - event_id
+        - type
+        - response_id
+        - item_id
+        - output_index
+        - content_index
+        - delta
+      x-oaiMeta:
+        name: response.text.delta
+        group: realtime
+        example: |
+          {
+              "event_id": "event_4142",
+              "type": "response.text.delta",
+              "response_id": "resp_001",
+              "item_id": "msg_007",
+              "output_index": 0,
+              "content_index": 0,
+              "delta": "Sure, I can h"
+          }
+    RealtimeServerEventResponseTextDone:
+      type: object
+      description: >
+        Returned when the text value of a "text" content part is done streaming.
+        Also
+
+        emitted when a Response is interrupted, incomplete, or cancelled.
+      properties:
+        event_id:
+          type: string
+          description: The unique ID of the server event.
+        type:
+          type: string
+          enum:
+            - response.text.done
+          description: The event type, must be `response.text.done`.
+          x-stainless-const: true
+        response_id:
+          type: string
+          description: The ID of the response.
+        item_id:
+          type: string
+          description: The ID of the item.
+        output_index:
+          type: integer
+          description: The index of the output item in the response.
+        content_index:
+          type: integer
+          description: The index of the content part in the item's content array.
+        text:
+          type: string
+          description: The final text content.
+      required:
+        - event_id
+        - type
+        - response_id
+        - item_id
+        - output_index
+        - content_index
+        - text
+      x-oaiMeta:
+        name: response.text.done
+        group: realtime
+        example: |
+          {
+              "event_id": "event_4344",
+              "type": "response.text.done",
+              "response_id": "resp_001",
+              "item_id": "msg_007",
+              "output_index": 0,
+              "content_index": 0,
+              "text": "Sure, I can help with that."
+          }
+    RealtimeServerEventSessionCreated:
+      type: object
+      description: >
+        Returned when a Session is created. Emitted automatically when a new 
+
+        connection is established as the first server event. This event will
+        contain 
+
+        the default Session configuration.
+      properties:
+        event_id:
+          type: string
+          description: The unique ID of the server event.
+        type:
+          type: string
+          enum:
+            - session.created
+          description: The event type, must be `session.created`.
+          x-stainless-const: true
+        session:
+          $ref: "#/components/schemas/RealtimeSession"
+      required:
+        - event_id
+        - type
+        - session
+      x-oaiMeta:
+        name: session.created
+        group: realtime
+        example: |
+          {
+              "event_id": "event_1234",
+              "type": "session.created",
+              "session": {
+                  "id": "sess_001",
+                  "object": "realtime.session",
+                  "model": "gpt-4o-realtime-preview",
+                  "modalities": ["text", "audio"],
+                  "instructions": "...model instructions here...",
+                  "voice": "sage",
+                  "input_audio_format": "pcm16",
+                  "output_audio_format": "pcm16",
+                  "input_audio_transcription": null,
+                  "turn_detection": {
+                      "type": "server_vad",
+                      "threshold": 0.5,
+                      "prefix_padding_ms": 300,
+                      "silence_duration_ms": 200
+                  },
+                  "tools": [],
+                  "tool_choice": "auto",
+                  "temperature": 0.8,
+                  "max_response_output_tokens": "inf"
+              }
+          }
+    RealtimeServerEventSessionUpdated:
+      type: object
+      description: >
+        Returned when a session is updated with a `session.update` event,
+        unless 
+
+        there is an error.
+      properties:
+        event_id:
+          type: string
+          description: The unique ID of the server event.
+        type:
+          type: string
+          enum:
+            - session.updated
+          description: The event type, must be `session.updated`.
+          x-stainless-const: true
+        session:
+          $ref: "#/components/schemas/RealtimeSession"
+      required:
+        - event_id
+        - type
+        - session
+      x-oaiMeta:
+        name: session.updated
+        group: realtime
+        example: |
+          {
+              "event_id": "event_5678",
+              "type": "session.updated",
+              "session": {
+                  "id": "sess_001",
+                  "object": "realtime.session",
+                  "model": "gpt-4o-realtime-preview",
+                  "modalities": ["text"],
+                  "instructions": "New instructions",
+                  "voice": "sage",
+                  "input_audio_format": "pcm16",
+                  "output_audio_format": "pcm16",
+                  "input_audio_transcription": {
+                      "model": "whisper-1"
+                  },
+                  "turn_detection": null,
+                  "tools": [],
+                  "tool_choice": "none",
+                  "temperature": 0.7,
+                  "max_response_output_tokens": 200
+              }
+          }
+    RealtimeServerEventTranscriptionSessionUpdated:
+      type: object
+      description: >
+        Returned when a transcription session is updated with a
+        `transcription_session.update` event, unless 
+
+        there is an error.
+      properties:
+        event_id:
+          type: string
+          description: The unique ID of the server event.
+        type:
+          type: string
+          enum:
+            - transcription_session.updated
+          description: The event type, must be `transcription_session.updated`.
+          x-stainless-const: true
+        session:
+          $ref: "#/components/schemas/RealtimeTranscriptionSessionCreateResponse"
+      required:
+        - event_id
+        - type
+        - session
+      x-oaiMeta:
+        name: transcription_session.updated
+        group: realtime
+        example: |
+          {
+            "event_id": "event_5678",
+            "type": "transcription_session.updated",
+            "session": {
+              "id": "sess_001",
+              "object": "realtime.transcription_session",
+              "input_audio_format": "pcm16",
+              "input_audio_transcription": {
+                "model": "gpt-4o-transcribe",
+                "prompt": "",
+                "language": ""
+              },
+              "turn_detection": {
+                "type": "server_vad",
+                "threshold": 0.5,
+                "prefix_padding_ms": 300,
+                "silence_duration_ms": 500,
+                "create_response": true,
+                // "interrupt_response": false  -- this will NOT be returned
+              },
+              "input_audio_noise_reduction": {
+                "type": "near_field"
+              },
+              "include": [
+                "item.input_audio_transcription.avg_logprob",
+              ],
+            }
+          }
+    RealtimeSession:
+      type: object
+      description: Realtime session object configuration.
+      properties:
+        id:
+          type: string
+          description: >
+            Unique identifier for the session that looks like
+            `sess_1234567890abcdef`.
+        modalities:
+          description: |
+            The set of modalities the model can respond with. To disable audio,
+            set this to ["text"].
+          items:
+            type: string
+            default:
+              - text
+              - audio
+            enum:
+              - text
+              - audio
+        model:
+          type: string
+          description: |
+            The Realtime model used for this session.
+          enum:
+            - gpt-4o-realtime-preview
+            - gpt-4o-realtime-preview-2024-10-01
+            - gpt-4o-realtime-preview-2024-12-17
+            - gpt-4o-mini-realtime-preview
+            - gpt-4o-mini-realtime-preview-2024-12-17
+        instructions:
+          type: string
+          description: >
+            The default system instructions (i.e. system message) prepended to
+            model  calls. This field allows the client to guide the model on
+            desired  responses. The model can be instructed on response content
+            and format,  (e.g. "be extremely succinct", "act friendly", "here
+            are examples of good  responses") and on audio behavior (e.g. "talk
+            quickly", "inject emotion  into your voice", "laugh frequently").
+            The instructions are not guaranteed  to be followed by the model,
+            but they provide guidance to the model on the desired behavior.
+
+
+            Note that the server sets default instructions which will be used if
+            this  field is not set and are visible in the `session.created`
+            event at the  start of the session.
+        voice:
+          $ref: "#/components/schemas/VoiceIdsShared"
+          description: >
+            The voice the model uses to respond. Voice cannot be changed during
+            the 
+
+            session once the model has responded with audio at least once.
+            Current 
+
+            voice options are `alloy`, `ash`, `ballad`, `coral`, `echo` `sage`, 
+
+            `shimmer` and `verse`.
+        input_audio_format:
+          type: string
+          default: pcm16
+          enum:
+            - pcm16
+            - g711_ulaw
+            - g711_alaw
+          description: >
+            The format of input audio. Options are `pcm16`, `g711_ulaw`, or
+            `g711_alaw`.
+
+            For `pcm16`, input audio must be 16-bit PCM at a 24kHz sample rate, 
+
+            single channel (mono), and little-endian byte order.
+        output_audio_format:
+          type: string
+          default: pcm16
+          enum:
+            - pcm16
+            - g711_ulaw
+            - g711_alaw
+          description: >
+            The format of output audio. Options are `pcm16`, `g711_ulaw`, or
+            `g711_alaw`.
+
+            For `pcm16`, output audio is sampled at a rate of 24kHz.
+        input_audio_transcription:
+          type: object
+          description: >
+            Configuration for input audio transcription, defaults to off and can
+            be  set to `null` to turn off once on. Input audio transcription is
+            not native to the model, since the model consumes audio directly.
+            Transcription runs  asynchronously through [the
+            /audio/transcriptions
+            endpoint](https://platform.openai.com/docs/api-reference/audio/createTranscription)
+            and should be treated as guidance of input audio content rather than
+            precisely what the model heard. The client can optionally set the
+            language and prompt for transcription, these offer additional
+            guidance to the transcription service.
+          properties:
+            model:
+              type: string
+              description: >
+                The model to use for transcription, current options are
+                `gpt-4o-transcribe`, `gpt-4o-mini-transcribe`, and `whisper-1`.
+            language:
+              type: string
+              description: >
+                The language of the input audio. Supplying the input language in
+
+                [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes)
+                (e.g. `en`) format
+
+                will improve accuracy and latency.
+            prompt:
+              type: string
+              description: >
+                An optional text to guide the model's style or continue a
+                previous audio
+
+                segment.
+
+                For `whisper-1`, the [prompt is a list of
+                keywords](/docs/guides/speech-to-text#prompting).
+
+                For `gpt-4o-transcribe` models, the prompt is a free text
+                string, for example "expect words related to technology".
+        turn_detection:
+          type: object
+          description: >
+            Configuration for turn detection, ether Server VAD or Semantic VAD.
+            This can be set to `null` to turn off, in which case the client must
+            manually trigger model response.
+
+            Server VAD means that the model will detect the start and end of
+            speech based on audio volume and respond at the end of user speech.
+
+            Semantic VAD is more advanced and uses a turn detection model (in
+            conjuction with VAD) to semantically estimate whether the user has
+            finished speaking, then dynamically sets a timeout based on this
+            probability. For example, if user audio trails off with "uhhm", the
+            model will score a low probability of turn end and wait longer for
+            the user to continue speaking. This can be useful for more natural
+            conversations, but may have a higher latency.
+          properties:
+            type:
+              type: string
+              default: server_vad
+              enum:
+                - server_vad
+                - semantic_vad
+              description: |
+                Type of turn detection.
+            eagerness:
+              type: string
+              default: auto
+              enum:
+                - low
+                - medium
+                - high
+                - auto
+              description: >
+                Used only for `semantic_vad` mode. The eagerness of the model to
+                respond. `low` will wait longer for the user to continue
+                speaking, `high` will respond more quickly. `auto` is the
+                default and is equivalent to `medium`.
+            threshold:
+              type: number
+              description: >
+                Used only for `server_vad` mode. Activation threshold for VAD
+                (0.0 to 1.0), this defaults to 0.5. A 
+
+                higher threshold will require louder audio to activate the
+                model, and 
+
+                thus might perform better in noisy environments.
+            prefix_padding_ms:
+              type: integer
+              description: >
+                Used only for `server_vad` mode. Amount of audio to include
+                before the VAD detected speech (in 
+
+                milliseconds). Defaults to 300ms.
+            silence_duration_ms:
+              type: integer
+              description: >
+                Used only for `server_vad` mode. Duration of silence to detect
+                speech stop (in milliseconds). Defaults 
+
+                to 500ms. With shorter values the model will respond more
+                quickly, 
+
+                but may jump in on short pauses from the user.
+            create_response:
+              type: boolean
+              default: true
+              description: >
+                Whether or not to automatically generate a response when a VAD
+                stop event occurs.
+            interrupt_response:
+              type: boolean
+              default: true
+              description: >
+                Whether or not to automatically interrupt any ongoing response
+                with output to the default
+
+                conversation (i.e. `conversation` of `auto`) when a VAD start
+                event occurs.
+        input_audio_noise_reduction:
+          type: object
+          default: null
+          description: >
+            Configuration for input audio noise reduction. This can be set to
+            `null` to turn off.
+
+            Noise reduction filters audio added to the input audio buffer before
+            it is sent to VAD and the model.
+
+            Filtering the audio can improve VAD and turn detection accuracy
+            (reducing false positives) and model performance by improving
+            perception of the input audio.
+          properties:
+            type:
+              type: string
+              enum:
+                - near_field
+                - far_field
+              description: >
+                Type of noise reduction. `near_field` is for close-talking
+                microphones such as headphones, `far_field` is for far-field
+                microphones such as laptop or conference room microphones.
+        tools:
+          type: array
+          description: Tools (functions) available to the model.
+          items:
+            type: object
+            properties:
+              type:
+                type: string
+                enum:
+                  - function
+                description: The type of the tool, i.e. `function`.
+                x-stainless-const: true
+              name:
+                type: string
+                description: The name of the function.
+              description:
+                type: string
+                description: >
+                  The description of the function, including guidance on when
+                  and how 
+
+                  to call it, and guidance about what to tell the user when
+                  calling 
+
+                  (if anything).
+              parameters:
+                type: object
+                description: Parameters of the function in JSON Schema.
+        tool_choice:
+          type: string
+          default: auto
+          description: >
+            How the model chooses tools. Options are `auto`, `none`, `required`,
+            or 
+
+            specify a function.
+        temperature:
+          type: number
+          default: 0.8
+          description: >
+            Sampling temperature for the model, limited to [0.6, 1.2]. For audio
+            models a temperature of 0.8 is highly recommended for best
+            performance.
+        max_response_output_tokens:
+          oneOf:
+            - type: integer
+            - type: string
+              enum:
+                - inf
+              x-stainless-const: true
+          description: |
+            Maximum number of output tokens for a single assistant response,
+            inclusive of tool calls. Provide an integer between 1 and 4096 to
+            limit output tokens, or `inf` for the maximum available tokens for a
+            given model. Defaults to `inf`.
+    RealtimeSessionCreateRequest:
+      type: object
+      description: Realtime session object configuration.
+      properties:
+        modalities:
+          description: |
+            The set of modalities the model can respond with. To disable audio,
+            set this to ["text"].
+          items:
+            type: string
+            default:
+              - text
+              - audio
+            enum:
+              - text
+              - audio
+        model:
+          type: string
+          description: |
+            The Realtime model used for this session.
+          enum:
+            - gpt-4o-realtime-preview
+            - gpt-4o-realtime-preview-2024-10-01
+            - gpt-4o-realtime-preview-2024-12-17
+            - gpt-4o-mini-realtime-preview
+            - gpt-4o-mini-realtime-preview-2024-12-17
+        instructions:
+          type: string
+          description: >
+            The default system instructions (i.e. system message) prepended to
+            model  calls. This field allows the client to guide the model on
+            desired  responses. The model can be instructed on response content
+            and format,  (e.g. "be extremely succinct", "act friendly", "here
+            are examples of good  responses") and on audio behavior (e.g. "talk
+            quickly", "inject emotion  into your voice", "laugh frequently").
+            The instructions are not guaranteed  to be followed by the model,
+            but they provide guidance to the model on the desired behavior.
+
+
+            Note that the server sets default instructions which will be used if
+            this  field is not set and are visible in the `session.created`
+            event at the  start of the session.
+        voice:
+          $ref: "#/components/schemas/VoiceIdsShared"
+          description: >
+            The voice the model uses to respond. Voice cannot be changed during
+            the 
+
+            session once the model has responded with audio at least once.
+            Current 
+
+            voice options are `alloy`, `ash`, `ballad`, `coral`, `echo`,
+            `fable`,
+
+            `onyx`, `nova`, `sage`, `shimmer`, and `verse`.
+        input_audio_format:
+          type: string
+          default: pcm16
+          enum:
+            - pcm16
+            - g711_ulaw
+            - g711_alaw
+          description: >
+            The format of input audio. Options are `pcm16`, `g711_ulaw`, or
+            `g711_alaw`.
+
+            For `pcm16`, input audio must be 16-bit PCM at a 24kHz sample rate, 
+
+            single channel (mono), and little-endian byte order.
+        output_audio_format:
+          type: string
+          default: pcm16
+          enum:
+            - pcm16
+            - g711_ulaw
+            - g711_alaw
+          description: >
+            The format of output audio. Options are `pcm16`, `g711_ulaw`, or
+            `g711_alaw`.
+
+            For `pcm16`, output audio is sampled at a rate of 24kHz.
+        input_audio_transcription:
+          type: object
+          description: >
+            Configuration for input audio transcription, defaults to off and can
+            be  set to `null` to turn off once on. Input audio transcription is
+            not native to the model, since the model consumes audio directly.
+            Transcription runs  asynchronously through [the
+            /audio/transcriptions
+            endpoint](https://platform.openai.com/docs/api-reference/audio/createTranscription)
+            and should be treated as guidance of input audio content rather than
+            precisely what the model heard. The client can optionally set the
+            language and prompt for transcription, these offer additional
+            guidance to the transcription service.
+          properties:
+            model:
+              type: string
+              description: >
+                The model to use for transcription, current options are
+                `gpt-4o-transcribe`, `gpt-4o-mini-transcribe`, and `whisper-1`.
+            language:
+              type: string
+              description: >
+                The language of the input audio. Supplying the input language in
+
+                [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes)
+                (e.g. `en`) format
+
+                will improve accuracy and latency.
+            prompt:
+              type: string
+              description: >
+                An optional text to guide the model's style or continue a
+                previous audio
+
+                segment.
+
+                For `whisper-1`, the [prompt is a list of
+                keywords](/docs/guides/speech-to-text#prompting).
+
+                For `gpt-4o-transcribe` models, the prompt is a free text
+                string, for example "expect words related to technology".
+        turn_detection:
+          type: object
+          description: >
+            Configuration for turn detection, ether Server VAD or Semantic VAD.
+            This can be set to `null` to turn off, in which case the client must
+            manually trigger model response.
+
+            Server VAD means that the model will detect the start and end of
+            speech based on audio volume and respond at the end of user speech.
+
+            Semantic VAD is more advanced and uses a turn detection model (in
+            conjuction with VAD) to semantically estimate whether the user has
+            finished speaking, then dynamically sets a timeout based on this
+            probability. For example, if user audio trails off with "uhhm", the
+            model will score a low probability of turn end and wait longer for
+            the user to continue speaking. This can be useful for more natural
+            conversations, but may have a higher latency.
+          properties:
+            type:
+              type: string
+              default: server_vad
+              enum:
+                - server_vad
+                - semantic_vad
+              description: |
+                Type of turn detection.
+            eagerness:
+              type: string
+              default: auto
+              enum:
+                - low
+                - medium
+                - high
+                - auto
+              description: >
+                Used only for `semantic_vad` mode. The eagerness of the model to
+                respond. `low` will wait longer for the user to continue
+                speaking, `high` will respond more quickly. `auto` is the
+                default and is equivalent to `medium`.
+            threshold:
+              type: number
+              description: >
+                Used only for `server_vad` mode. Activation threshold for VAD
+                (0.0 to 1.0), this defaults to 0.5. A 
+
+                higher threshold will require louder audio to activate the
+                model, and 
+
+                thus might perform better in noisy environments.
+            prefix_padding_ms:
+              type: integer
+              description: >
+                Used only for `server_vad` mode. Amount of audio to include
+                before the VAD detected speech (in 
+
+                milliseconds). Defaults to 300ms.
+            silence_duration_ms:
+              type: integer
+              description: >
+                Used only for `server_vad` mode. Duration of silence to detect
+                speech stop (in milliseconds). Defaults 
+
+                to 500ms. With shorter values the model will respond more
+                quickly, 
+
+                but may jump in on short pauses from the user.
+            create_response:
+              type: boolean
+              default: true
+              description: >
+                Whether or not to automatically generate a response when a VAD
+                stop event occurs.
+            interrupt_response:
+              type: boolean
+              default: true
+              description: >
+                Whether or not to automatically interrupt any ongoing response
+                with output to the default
+
+                conversation (i.e. `conversation` of `auto`) when a VAD start
+                event occurs.
+        input_audio_noise_reduction:
+          type: object
+          default: null
+          description: >
+            Configuration for input audio noise reduction. This can be set to
+            `null` to turn off.
+
+            Noise reduction filters audio added to the input audio buffer before
+            it is sent to VAD and the model.
+
+            Filtering the audio can improve VAD and turn detection accuracy
+            (reducing false positives) and model performance by improving
+            perception of the input audio.
+          properties:
+            type:
+              type: string
+              enum:
+                - near_field
+                - far_field
+              description: >
+                Type of noise reduction. `near_field` is for close-talking
+                microphones such as headphones, `far_field` is for far-field
+                microphones such as laptop or conference room microphones.
+        tools:
+          type: array
+          description: Tools (functions) available to the model.
+          items:
+            type: object
+            properties:
+              type:
+                type: string
+                enum:
+                  - function
+                description: The type of the tool, i.e. `function`.
+                x-stainless-const: true
+              name:
+                type: string
+                description: The name of the function.
+              description:
+                type: string
+                description: >
+                  The description of the function, including guidance on when
+                  and how 
+
+                  to call it, and guidance about what to tell the user when
+                  calling 
+
+                  (if anything).
+              parameters:
+                type: object
+                description: Parameters of the function in JSON Schema.
+        tool_choice:
+          type: string
+          default: auto
+          description: >
+            How the model chooses tools. Options are `auto`, `none`, `required`,
+            or 
+
+            specify a function.
+        temperature:
+          type: number
+          default: 0.8
+          description: >
+            Sampling temperature for the model, limited to [0.6, 1.2]. For audio
+            models a temperature of 0.8 is highly recommended for best
+            performance.
+        max_response_output_tokens:
+          oneOf:
+            - type: integer
+            - type: string
+              enum:
+                - inf
+              x-stainless-const: true
+          description: |
+            Maximum number of output tokens for a single assistant response,
+            inclusive of tool calls. Provide an integer between 1 and 4096 to
+            limit output tokens, or `inf` for the maximum available tokens for a
+            given model. Defaults to `inf`.
+    RealtimeSessionCreateResponse:
+      type: object
+      description: >
+        A new Realtime session configuration, with an ephermeral key. Default
+        TTL
+
+        for keys is one minute.
+      properties:
+        client_secret:
+          type: object
+          description: Ephemeral key returned by the API.
+          properties:
+            value:
+              type: string
+              description: >
+                Ephemeral key usable in client environments to authenticate
+                connections
+
+                to the Realtime API. Use this in client-side environments rather
+                than
+
+                a standard API token, which should only be used server-side.
+            expires_at:
+              type: integer
+              description: >
+                Timestamp for when the token expires. Currently, all tokens
+                expire
+
+                after one minute.
+          required:
+            - value
+            - expires_at
+        modalities:
+          description: |
+            The set of modalities the model can respond with. To disable audio,
+            set this to ["text"].
+          items:
+            type: string
+            enum:
+              - text
+              - audio
+        instructions:
+          type: string
+          description: >
+            The default system instructions (i.e. system message) prepended to
+            model 
+
+            calls. This field allows the client to guide the model on desired 
+
+            responses. The model can be instructed on response content and
+            format, 
+
+            (e.g. "be extremely succinct", "act friendly", "here are examples of
+            good 
+
+            responses") and on audio behavior (e.g. "talk quickly", "inject
+            emotion 
+
+            into your voice", "laugh frequently"). The instructions are not
+            guaranteed 
+
+            to be followed by the model, but they provide guidance to the model
+            on the 
+
+            desired behavior.
+
+
+            Note that the server sets default instructions which will be used if
+            this 
+
+            field is not set and are visible in the `session.created` event at
+            the 
+
+            start of the session.
+        voice:
+          $ref: "#/components/schemas/VoiceIdsShared"
+          description: >
+            The voice the model uses to respond. Voice cannot be changed during
+            the 
+
+            session once the model has responded with audio at least once.
+            Current 
+
+            voice options are `alloy`, `ash`, `ballad`, `coral`, `echo` `sage`, 
+
+            `shimmer` and `verse`.
+        input_audio_format:
+          type: string
+          description: >
+            The format of input audio. Options are `pcm16`, `g711_ulaw`, or
+            `g711_alaw`.
+        output_audio_format:
+          type: string
+          description: >
+            The format of output audio. Options are `pcm16`, `g711_ulaw`, or
+            `g711_alaw`.
+        input_audio_transcription:
+          type: object
+          description: >
+            Configuration for input audio transcription, defaults to off and can
+            be 
+
+            set to `null` to turn off once on. Input audio transcription is not
+            native 
+
+            to the model, since the model consumes audio directly. Transcription
+            runs 
+
+            asynchronously through Whisper and should be treated as rough
+            guidance 
+
+            rather than the representation understood by the model.
+          properties:
+            model:
+              type: string
+              description: >
+                The model to use for transcription, `whisper-1` is the only
+                currently 
+
+                supported model.
+        turn_detection:
+          type: object
+          description: >
+            Configuration for turn detection. Can be set to `null` to turn off.
+            Server 
+
+            VAD means that the model will detect the start and end of speech
+            based on 
+
+            audio volume and respond at the end of user speech.
+          properties:
+            type:
+              type: string
+              description: >
+                Type of turn detection, only `server_vad` is currently supported.
+            threshold:
+              type: number
+              description: >
+                Activation threshold for VAD (0.0 to 1.0), this defaults to 0.5.
+                A 
+
+                higher threshold will require louder audio to activate the
+                model, and 
+
+                thus might perform better in noisy environments.
+            prefix_padding_ms:
+              type: integer
+              description: |
+                Amount of audio to include before the VAD detected speech (in 
+                milliseconds). Defaults to 300ms.
+            silence_duration_ms:
+              type: integer
+              description: >
+                Duration of silence to detect speech stop (in milliseconds).
+                Defaults 
+
+                to 500ms. With shorter values the model will respond more
+                quickly, 
+
+                but may jump in on short pauses from the user.
+        tools:
+          type: array
+          description: Tools (functions) available to the model.
+          items:
+            type: object
+            properties:
+              type:
+                type: string
+                enum:
+                  - function
+                description: The type of the tool, i.e. `function`.
+                x-stainless-const: true
+              name:
+                type: string
+                description: The name of the function.
+              description:
+                type: string
+                description: >
+                  The description of the function, including guidance on when
+                  and how 
+
+                  to call it, and guidance about what to tell the user when
+                  calling 
+
+                  (if anything).
+              parameters:
+                type: object
+                description: Parameters of the function in JSON Schema.
+        tool_choice:
+          type: string
+          description: >
+            How the model chooses tools. Options are `auto`, `none`, `required`,
+            or 
+
+            specify a function.
+        temperature:
+          type: number
+          description: >
+            Sampling temperature for the model, limited to [0.6, 1.2]. Defaults
+            to 0.8.
+        max_response_output_tokens:
+          oneOf:
+            - type: integer
+            - type: string
+              enum:
+                - inf
+              x-stainless-const: true
+          description: |
+            Maximum number of output tokens for a single assistant response,
+            inclusive of tool calls. Provide an integer between 1 and 4096 to
+            limit output tokens, or `inf` for the maximum available tokens for a
+            given model. Defaults to `inf`.
+      required:
+        - client_secret
+      x-oaiMeta:
+        name: The session object
+        group: realtime
+        example: |
+          {
+            "id": "sess_001",
+            "object": "realtime.session",
+            "model": "gpt-4o-realtime-preview",
+            "modalities": ["audio", "text"],
+            "instructions": "You are a friendly assistant.",
+            "voice": "alloy",
+            "input_audio_format": "pcm16",
+            "output_audio_format": "pcm16",
+            "input_audio_transcription": {
+                "model": "whisper-1"
+            },
+            "turn_detection": null,
+            "tools": [],
+            "tool_choice": "none",
+            "temperature": 0.7,
+            "max_response_output_tokens": 200,
+            "client_secret": {
+              "value": "ek_abc123", 
+              "expires_at": 1234567890
+            }
+          }
+    RealtimeTranscriptionSessionCreateRequest:
+      type: object
+      description: Realtime transcription session object configuration.
+      properties:
+        modalities:
+          description: |
+            The set of modalities the model can respond with. To disable audio,
+            set this to ["text"].
+          items:
+            type: string
+            default:
+              - text
+              - audio
+            enum:
+              - text
+              - audio
+        input_audio_format:
+          type: string
+          default: pcm16
+          enum:
+            - pcm16
+            - g711_ulaw
+            - g711_alaw
+          description: >
+            The format of input audio. Options are `pcm16`, `g711_ulaw`, or
+            `g711_alaw`.
+
+            For `pcm16`, input audio must be 16-bit PCM at a 24kHz sample rate, 
+
+            single channel (mono), and little-endian byte order.
+        input_audio_transcription:
+          type: object
+          description: >
+            Configuration for input audio transcription. The client can
+            optionally set the language and prompt for transcription, these
+            offer additional guidance to the transcription service.
+          properties:
+            model:
+              type: string
+              description: >
+                The model to use for transcription, current options are
+                `gpt-4o-transcribe`, `gpt-4o-mini-transcribe`, and `whisper-1`.
+              enum:
+                - gpt-4o-transcribe
+                - gpt-4o-mini-transcribe
+                - whisper-1
+            language:
+              type: string
+              description: >
+                The language of the input audio. Supplying the input language in
+
+                [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes)
+                (e.g. `en`) format
+
+                will improve accuracy and latency.
+            prompt:
+              type: string
+              description: >
+                An optional text to guide the model's style or continue a
+                previous audio
+
+                segment.
+
+                For `whisper-1`, the [prompt is a list of
+                keywords](/docs/guides/speech-to-text#prompting).
+
+                For `gpt-4o-transcribe` models, the prompt is a free text
+                string, for example "expect words related to technology".
+        turn_detection:
+          type: object
+          description: >
+            Configuration for turn detection, ether Server VAD or Semantic VAD.
+            This can be set to `null` to turn off, in which case the client must
+            manually trigger model response.
+
+            Server VAD means that the model will detect the start and end of
+            speech based on audio volume and respond at the end of user speech.
+
+            Semantic VAD is more advanced and uses a turn detection model (in
+            conjuction with VAD) to semantically estimate whether the user has
+            finished speaking, then dynamically sets a timeout based on this
+            probability. For example, if user audio trails off with "uhhm", the
+            model will score a low probability of turn end and wait longer for
+            the user to continue speaking. This can be useful for more natural
+            conversations, but may have a higher latency.
+          properties:
+            type:
+              type: string
+              default: server_vad
+              enum:
+                - server_vad
+                - semantic_vad
+              description: |
+                Type of turn detection.
+            eagerness:
+              type: string
+              default: auto
+              enum:
+                - low
+                - medium
+                - high
+                - auto
+              description: >
+                Used only for `semantic_vad` mode. The eagerness of the model to
+                respond. `low` will wait longer for the user to continue
+                speaking, `high` will respond more quickly. `auto` is the
+                default and is equivalent to `medium`.
+            threshold:
+              type: number
+              description: >
+                Used only for `server_vad` mode. Activation threshold for VAD
+                (0.0 to 1.0), this defaults to 0.5. A 
+
+                higher threshold will require louder audio to activate the
+                model, and 
+
+                thus might perform better in noisy environments.
+            prefix_padding_ms:
+              type: integer
+              description: >
+                Used only for `server_vad` mode. Amount of audio to include
+                before the VAD detected speech (in 
+
+                milliseconds). Defaults to 300ms.
+            silence_duration_ms:
+              type: integer
+              description: >
+                Used only for `server_vad` mode. Duration of silence to detect
+                speech stop (in milliseconds). Defaults 
+
+                to 500ms. With shorter values the model will respond more
+                quickly, 
+
+                but may jump in on short pauses from the user.
+            create_response:
+              type: boolean
+              default: true
+              description: >
+                Whether or not to automatically generate a response when a VAD
+                stop event occurs. Not available for transcription sessions.
+            interrupt_response:
+              type: boolean
+              default: true
+              description: >
+                Whether or not to automatically interrupt any ongoing response
+                with output to the default
+
+                conversation (i.e. `conversation` of `auto`) when a VAD start
+                event occurs. Not available for transcription sessions.
+        input_audio_noise_reduction:
+          type: object
+          default: null
+          description: >
+            Configuration for input audio noise reduction. This can be set to
+            `null` to turn off.
+
+            Noise reduction filters audio added to the input audio buffer before
+            it is sent to VAD and the model.
+
+            Filtering the audio can improve VAD and turn detection accuracy
+            (reducing false positives) and model performance by improving
+            perception of the input audio.
+          properties:
+            type:
+              type: string
+              enum:
+                - near_field
+                - far_field
+              description: >
+                Type of noise reduction. `near_field` is for close-talking
+                microphones such as headphones, `far_field` is for far-field
+                microphones such as laptop or conference room microphones.
+        include:
+          type: array
+          items:
+            type: string
+          description: >
+            The set of items to include in the transcription. Current available
+            items are:
+
+            - `item.input_audio_transcription.logprobs`
+    RealtimeTranscriptionSessionCreateResponse:
+      type: object
+      description: >
+        A new Realtime transcription session configuration.
+
+
+        When a session is created on the server via REST API, the session object
+
+        also contains an ephemeral key. Default TTL for keys is one minute.
+        This 
+
+        property is not present when a session is updated via the WebSocket API.
+      properties:
+        client_secret:
+          type: object
+          description: |
+            Ephemeral key returned by the API. Only present when the session is
+            created on the server via REST API.
+          properties:
+            value:
+              type: string
+              description: >
+                Ephemeral key usable in client environments to authenticate
+                connections
+
+                to the Realtime API. Use this in client-side environments rather
+                than
+
+                a standard API token, which should only be used server-side.
+            expires_at:
+              type: integer
+              description: >
+                Timestamp for when the token expires. Currently, all tokens
+                expire
+
+                after one minute.
+          required:
+            - value
+            - expires_at
+        modalities:
+          description: |
+            The set of modalities the model can respond with. To disable audio,
+            set this to ["text"].
+          items:
+            type: string
+            enum:
+              - text
+              - audio
+        input_audio_format:
+          type: string
+          description: >
+            The format of input audio. Options are `pcm16`, `g711_ulaw`, or
+            `g711_alaw`.
+        input_audio_transcription:
+          type: object
+          description: |
+            Configuration of the transcription model.
+          properties:
+            model:
+              type: string
+              description: >
+                The model to use for transcription. Can be `gpt-4o-transcribe`,
+                `gpt-4o-mini-transcribe`, or `whisper-1`.
+              enum:
+                - gpt-4o-transcribe
+                - gpt-4o-mini-transcribe
+                - whisper-1
+            language:
+              type: string
+              description: >
+                The language of the input audio. Supplying the input language in
+
+                [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes)
+                (e.g. `en`) format
+
+                will improve accuracy and latency.
+            prompt:
+              type: string
+              description: >
+                An optional text to guide the model's style or continue a
+                previous audio
+
+                segment. The [prompt](/docs/guides/speech-to-text#prompting)
+                should match
+
+                the audio language.
+        turn_detection:
+          type: object
+          description: >
+            Configuration for turn detection. Can be set to `null` to turn off.
+            Server 
+
+            VAD means that the model will detect the start and end of speech
+            based on 
+
+            audio volume and respond at the end of user speech.
+          properties:
+            type:
+              type: string
+              description: >
+                Type of turn detection, only `server_vad` is currently supported.
+            threshold:
+              type: number
+              description: >
+                Activation threshold for VAD (0.0 to 1.0), this defaults to 0.5.
+                A 
+
+                higher threshold will require louder audio to activate the
+                model, and 
+
+                thus might perform better in noisy environments.
+            prefix_padding_ms:
+              type: integer
+              description: |
+                Amount of audio to include before the VAD detected speech (in 
+                milliseconds). Defaults to 300ms.
+            silence_duration_ms:
+              type: integer
+              description: >
+                Duration of silence to detect speech stop (in milliseconds).
+                Defaults 
+
+                to 500ms. With shorter values the model will respond more
+                quickly, 
+
+                but may jump in on short pauses from the user.
+      required:
+        - client_secret
+      x-oaiMeta:
+        name: The transcription session object
+        group: realtime
+        example: |
+          {
+            "id": "sess_BBwZc7cFV3XizEyKGDCGL",
+            "object": "realtime.transcription_session",
+            "expires_at": 1742188264,
+            "modalities": ["audio", "text"],
+            "turn_detection": {
+              "type": "server_vad",
+              "threshold": 0.5,
+              "prefix_padding_ms": 300,
+              "silence_duration_ms": 200
+            },
+            "input_audio_format": "pcm16",
+            "input_audio_transcription": {
+              "model": "gpt-4o-transcribe",
+              "language": null,
+              "prompt": ""
+            },
+            "client_secret": null
+          }
+    Reasoning:
+      type: object
+      description: |
+        **o-series models only**
+
+        Configuration options for 
+        [reasoning models](https://platform.openai.com/docs/guides/reasoning).
+      title: Reasoning
+      x-oaiExpandable: true
+      properties:
+        effort:
+          $ref: "#/components/schemas/ReasoningEffort"
+        generate_summary:
+          type: string
+          description: >
+            **computer_use_preview only**
+
+
+            A summary of the reasoning performed by the model. This can be
+
+            useful for debugging and understanding the model's reasoning
+            process.
+
+            One of `concise` or `detailed`.
+          enum:
+            - concise
+            - detailed
+          nullable: true
+    ReasoningEffort:
+      type: string
+      enum:
+        - low
+        - medium
+        - high
+      default: medium
+      nullable: true
+      description: |
+        **o-series models only** 
+
+        Constrains effort on reasoning for 
+        [reasoning models](https://platform.openai.com/docs/guides/reasoning).
+        Currently supported values are `low`, `medium`, and `high`. Reducing
+        reasoning effort can result in faster responses and fewer tokens used
+        on reasoning in a response.
+    ReasoningItem:
+      type: object
+      description: >
+        A description of the chain of thought used by a reasoning model while
+        generating
+
+        a response.
+      title: Reasoning
+      x-oaiExpandable: true
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the object. Always `reasoning`.
+          enum:
+            - reasoning
+          x-stainless-const: true
+        id:
+          type: string
+          description: |
+            The unique identifier of the reasoning content.
+        summary:
+          type: array
+          description: |
+            Reasoning text contents.
+          items:
+            type: object
+            properties:
+              type:
+                type: string
+                description: |
+                  The type of the object. Always `summary_text`.
+                enum:
+                  - summary_text
+                x-stainless-const: true
+              text:
+                type: string
+                description: >
+                  A short summary of the reasoning used by the model when
+                  generating
+
+                  the response.
+            required:
+              - type
+              - text
+        status:
+          type: string
+          description: |
+            The status of the item. One of `in_progress`, `completed`, or
+            `incomplete`. Populated when items are returned via API.
+          enum:
+            - in_progress
+            - completed
+            - incomplete
+      required:
+        - id
+        - summary
+        - type
+    Refusal:
+      type: object
+      title: Refusal
+      description: |
+        A refusal from the model.
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the refusal. Always `refusal`.
+          enum:
+            - refusal
+          x-stainless-const: true
+        refusal:
+          type: string
+          description: |
+            The refusal explanationfrom the model.
+      required:
+        - type
+        - refusal
+    Response:
+      allOf:
+        - $ref: "#/components/schemas/ModelResponseProperties"
+        - $ref: "#/components/schemas/ResponseProperties"
+        - type: object
+          properties:
+            id:
+              type: string
+              description: |
+                Unique identifier for this Response.
+            object:
+              type: string
+              description: |
+                The object type of this resource - always set to `response`.
+              enum:
+                - response
+              x-stainless-const: true
+            status:
+              type: string
+              description: >
+                The status of the response generation. One of `completed`,
+                `failed`, 
+
+                `in_progress`, or `incomplete`.
+              enum:
+                - completed
+                - failed
+                - in_progress
+                - incomplete
+            created_at:
+              type: number
+              description: |
+                Unix timestamp (in seconds) of when this Response was created.
+            error:
+              $ref: "#/components/schemas/ResponseError"
+            incomplete_details:
+              type: object
+              nullable: true
+              description: |
+                Details about why the response is incomplete.
+              properties:
+                reason:
+                  type: string
+                  description: The reason why the response is incomplete.
+                  enum:
+                    - max_output_tokens
+                    - content_filter
+            output:
+              type: array
+              x-oaiExpandable: true
+              description: >
+                An array of content items generated by the model.
+
+
+                - The length and order of items in the `output` array is
+                dependent
+                  on the model's response.
+                - Rather than accessing the first item in the `output` array
+                and 
+                  assuming it's an `assistant` message with the content generated by
+                  the model, you might consider using the `output_text` property where
+                  supported in SDKs.
+              items:
+                $ref: "#/components/schemas/OutputItem"
+                x-oaiExpandable: true
+            output_text:
+              type: string
+              nullable: true
+              description: >
+                SDK-only convenience property that contains the aggregated text
+                output 
+
+                from all `output_text` items in the `output` array, if any are
+                present. 
+
+                Supported in the Python and JavaScript SDKs.
+              x-oaiSupportedSDKs:
+                - python
+                - javascript
+            usage:
+              $ref: "#/components/schemas/ResponseUsage"
+            parallel_tool_calls:
+              type: boolean
+              description: |
+                Whether to allow the model to run tool calls in parallel.
+              default: true
+          required:
+            - id
+            - object
+            - created_at
+            - error
+            - incomplete_details
+            - instructions
+            - model
+            - tools
+            - output
+            - parallel_tool_calls
+            - metadata
+            - tool_choice
+            - temperature
+            - top_p
+          x-oaiMeta:
+            name: The response object
+            group: responses
+            example: >
+              {
+                "id": "resp_67ccd3a9da748190baa7f1570fe91ac604becb25c45c1d41",
+                "object": "response",
+                "created_at": 1741476777,
+                "status": "completed",
+                "error": null,
+                "incomplete_details": null,
+                "instructions": null,
+                "max_output_tokens": null,
+                "model": "gpt-4o-2024-08-06",
+                "output": [
+                  {
+                    "type": "message",
+                    "id": "msg_67ccd3acc8d48190a77525dc6de64b4104becb25c45c1d41",
+                    "status": "completed",
+                    "role": "assistant",
+                    "content": [
+                      {
+                        "type": "output_text",
+                        "text": "The image depicts a scenic landscape with a wooden boardwalk or pathway leading through lush, green grass under a blue sky with some clouds. The setting suggests a peaceful natural area, possibly a park or nature reserve. There are trees and shrubs in the background.",
+                        "annotations": []
+                      }
+                    ]
+                  }
+                ],
+                "parallel_tool_calls": true,
+                "previous_response_id": null,
+                "reasoning": {
+                  "effort": null,
+                  "generate_summary": null
+                },
+                "store": true,
+                "temperature": 1.0,
+                "text": {
+                  "format": {
+                    "type": "text"
+                  }
+                },
+                "tool_choice": "auto",
+                "tools": [],
+                "top_p": 1.0,
+                "truncation": "disabled",
+                "usage": {
+                  "input_tokens": 328,
+                  "input_tokens_details": {
+                    "cached_tokens": 0
+                  },
+                  "output_tokens": 52,
+                  "output_tokens_details": {
+                    "reasoning_tokens": 0
+                  },
+                  "total_tokens": 380
+                },
+                "user": null,
+                "metadata": {}
+              }
+    ResponseAudioDeltaEvent:
+      type: object
+      description: Emitted when there is a partial audio response.
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the event. Always `response.audio.delta`.
+          enum:
+            - response.audio.delta
+          x-stainless-const: true
+        delta:
+          type: string
+          description: |
+            A chunk of Base64 encoded response audio bytes.
+      required:
+        - type
+        - delta
+      x-oaiMeta:
+        name: response.audio.delta
+        group: responses
+        example: |
+          {
+            "type": "response.audio.delta",
+            "response_id": "resp_123",
+            "delta": "base64encoded..."
+          }
+    ResponseAudioDoneEvent:
+      type: object
+      description: Emitted when the audio response is complete.
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the event. Always `response.audio.done`.
+          enum:
+            - response.audio.done
+          x-stainless-const: true
+      required:
+        - type
+        - response_id
+      x-oaiMeta:
+        name: response.audio.done
+        group: responses
+        example: |
+          {
+            "type": "response.audio.done",
+            "response_id": "resp-123"
+          }
+    ResponseAudioTranscriptDeltaEvent:
+      type: object
+      description: Emitted when there is a partial transcript of audio.
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the event. Always `response.audio.transcript.delta`.
+          enum:
+            - response.audio.transcript.delta
+          x-stainless-const: true
+        delta:
+          type: string
+          description: |
+            The partial transcript of the audio response.
+      required:
+        - type
+        - response_id
+        - delta
+      x-oaiMeta:
+        name: response.audio.transcript.delta
+        group: responses
+        example: |
+          {
+            "type": "response.audio.transcript.delta",
+            "response_id": "resp_123",
+            "delta": " ... partial transcript ... "
+          }
+    ResponseAudioTranscriptDoneEvent:
+      type: object
+      description: Emitted when the full audio transcript is completed.
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the event. Always `response.audio.transcript.done`.
+          enum:
+            - response.audio.transcript.done
+          x-stainless-const: true
+      required:
+        - type
+        - response_id
+      x-oaiMeta:
+        name: response.audio.transcript.done
+        group: responses
+        example: |
+          {
+            "type": "response.audio.transcript.done",
+            "response_id": "resp_123"
+          }
+    ResponseCodeInterpreterCallCodeDeltaEvent:
+      type: object
+      description: Emitted when a partial code snippet is added by the code interpreter.
+      properties:
+        type:
+          type: string
+          description: >
+            The type of the event. Always
+            `response.code_interpreter_call.code.delta`.
+          enum:
+            - response.code_interpreter_call.code.delta
+          x-stainless-const: true
+        output_index:
+          type: integer
+          description: >
+            The index of the output item that the code interpreter call is in
+            progress.
+        delta:
+          type: string
+          description: |
+            The partial code snippet added by the code interpreter.
+      required:
+        - type
+        - response_id
+        - output_index
+        - delta
+      x-oaiMeta:
+        name: response.code_interpreter_call.code.delta
+        group: responses
+        example: |
+          {
+            "type": "response.code_interpreter_call.code.delta",
+            "response_id": "resp-123",
+            "output_index": 0,
+            "delta": "partial code"
+          }
+    ResponseCodeInterpreterCallCodeDoneEvent:
+      type: object
+      description: Emitted when code snippet output is finalized by the code interpreter.
+      properties:
+        type:
+          type: string
+          description: >
+            The type of the event. Always
+            `response.code_interpreter_call.code.done`.
+          enum:
+            - response.code_interpreter_call.code.done
+          x-stainless-const: true
+        output_index:
+          type: integer
+          description: >
+            The index of the output item that the code interpreter call is in
+            progress.
+        code:
+          type: string
+          description: |
+            The final code snippet output by the code interpreter.
+      required:
+        - type
+        - response_id
+        - output_index
+        - code
+      x-oaiMeta:
+        name: response.code_interpreter_call.code.done
+        group: responses
+        example: |
+          {
+            "type": "response.code_interpreter_call.code.done",
+            "response_id": "resp-123",
+            "output_index": 3,
+            "code": "console.log('done');"
+          }
+    ResponseCodeInterpreterCallCompletedEvent:
+      type: object
+      description: Emitted when the code interpreter call is completed.
+      properties:
+        type:
+          type: string
+          description: >
+            The type of the event. Always
+            `response.code_interpreter_call.completed`.
+          enum:
+            - response.code_interpreter_call.completed
+          x-stainless-const: true
+        output_index:
+          type: integer
+          description: >
+            The index of the output item that the code interpreter call is in
+            progress.
+        code_interpreter_call:
+          $ref: "#/components/schemas/CodeInterpreterToolCall"
+      required:
+        - type
+        - response_id
+        - output_index
+        - code_interpreter_call
+      x-oaiMeta:
+        name: response.code_interpreter_call.completed
+        group: responses
+        example: |
+          {
+            "type": "response.code_interpreter_call.completed",
+            "response_id": "resp-123",
+            "output_index": 5,
+            "code_interpreter_call": {}
+          }
+    ResponseCodeInterpreterCallInProgressEvent:
+      type: object
+      description: Emitted when a code interpreter call is in progress.
+      properties:
+        type:
+          type: string
+          description: >
+            The type of the event. Always
+            `response.code_interpreter_call.in_progress`.
+          enum:
+            - response.code_interpreter_call.in_progress
+          x-stainless-const: true
+        output_index:
+          type: integer
+          description: >
+            The index of the output item that the code interpreter call is in
+            progress.
+        code_interpreter_call:
+          $ref: "#/components/schemas/CodeInterpreterToolCall"
+      required:
+        - type
+        - response_id
+        - output_index
+        - code_interpreter_call
+      x-oaiMeta:
+        name: response.code_interpreter_call.in_progress
+        group: responses
+        example: |
+          {
+            "type": "response.code_interpreter_call.in.progress",
+            "response_id": "resp-123",
+            "output_index": 0,
+            "code_interpreter_call": {}
+          }
+    ResponseCodeInterpreterCallInterpretingEvent:
+      type: object
+      description:
+        Emitted when the code interpreter is actively interpreting the code
+        snippet.
+      properties:
+        type:
+          type: string
+          description: >
+            The type of the event. Always
+            `response.code_interpreter_call.interpreting`.
+          enum:
+            - response.code_interpreter_call.interpreting
+          x-stainless-const: true
+        output_index:
+          type: integer
+          description: >
+            The index of the output item that the code interpreter call is in
+            progress.
+        code_interpreter_call:
+          $ref: "#/components/schemas/CodeInterpreterToolCall"
+      required:
+        - type
+        - response_id
+        - output_index
+        - code_interpreter_call
+      x-oaiMeta:
+        name: response.code_interpreter_call.interpreting
+        group: responses
+        example: |
+          {
+            "type": "response.code_interpreter_call.interpreting",
+            "response_id": "resp-123",
+            "output_index": 4,
+            "code_interpreter_call": {}
+          }
+    ResponseCompletedEvent:
+      type: object
+      description: Emitted when the model response is complete.
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the event. Always `response.completed`.
+          enum:
+            - response.completed
+          x-stainless-const: true
+        response:
+          $ref: "#/components/schemas/Response"
+          description: |
+            Properties of the completed response.
+      required:
+        - type
+        - response
+      x-oaiMeta:
+        name: response.completed
+        group: responses
+        example: >
+          {
+            "type": "response.completed",
+            "response": {
+              "id": "resp_123",
+              "object": "response",
+              "created_at": 1740855869,
+              "status": "completed",
+              "error": null,
+              "incomplete_details": null,
+              "input": [],
+              "instructions": null,
+              "max_output_tokens": null,
+              "model": "gpt-4o-mini-2024-07-18",
+              "output": [
+                {
+                  "id": "msg_123",
+                  "type": "message",
+                  "role": "assistant",
+                  "content": [
+                    {
+                      "type": "output_text",
+                      "text": "In a shimmering forest under a sky full of stars, a lonely unicorn named Lila discovered a hidden pond that glowed with moonlight. Every night, she would leave sparkling, magical flowers by the water's edge, hoping to share her beauty with others. One enchanting evening, she woke to find a group of friendly animals gathered around, eager to be friends and share in her magic.",
+                      "annotations": []
+                    }
+                  ]
+                }
+              ],
+              "previous_response_id": null,
+              "reasoning_effort": null,
+              "store": false,
+              "temperature": 1,
+              "text": {
+                "format": {
+                  "type": "text"
+                }
+              },
+              "tool_choice": "auto",
+              "tools": [],
+              "top_p": 1,
+              "truncation": "disabled",
+              "usage": {
+                "input_tokens": 0,
+                "output_tokens": 0,
+                "output_tokens_details": {
+                  "reasoning_tokens": 0
+                },
+                "total_tokens": 0
+              },
+              "user": null,
+              "metadata": {}
+            }
+          }
+    ResponseContentPartAddedEvent:
+      type: object
+      description: Emitted when a new content part is added.
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the event. Always `response.content_part.added`.
+          enum:
+            - response.content_part.added
+          x-stainless-const: true
+        item_id:
+          type: string
+          description: |
+            The ID of the output item that the content part was added to.
+        output_index:
+          type: integer
+          description: |
+            The index of the output item that the content part was added to.
+        content_index:
+          type: integer
+          description: |
+            The index of the content part that was added.
+        part:
+          x-oaiExpandable: true
+          $ref: "#/components/schemas/OutputContent"
+          description: |
+            The content part that was added.
+      required:
+        - type
+        - item_id
+        - output_index
+        - content_index
+        - part
+      x-oaiMeta:
+        name: response.content_part.added
+        group: responses
+        example: |
+          {
+            "type": "response.content_part.added",
+            "item_id": "msg_123",
+            "output_index": 0,
+            "content_index": 0,
+            "part": {
+              "type": "output_text",
+              "text": "",
+              "annotations": []
+            }
+          }
+    ResponseContentPartDoneEvent:
+      type: object
+      description: Emitted when a content part is done.
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the event. Always `response.content_part.done`.
+          enum:
+            - response.content_part.done
+          x-stainless-const: true
+        item_id:
+          type: string
+          description: |
+            The ID of the output item that the content part was added to.
+        output_index:
+          type: integer
+          description: |
+            The index of the output item that the content part was added to.
+        content_index:
+          type: integer
+          description: |
+            The index of the content part that is done.
+        part:
+          x-oaiExpandable: true
+          $ref: "#/components/schemas/OutputContent"
+          description: |
+            The content part that is done.
+      required:
+        - type
+        - item_id
+        - output_index
+        - content_index
+        - part
+      x-oaiMeta:
+        name: response.content_part.done
+        group: responses
+        example: >
+          {
+            "type": "response.content_part.done",
+            "item_id": "msg_123",
+            "output_index": 0,
+            "content_index": 0,
+            "part": {
+              "type": "output_text",
+              "text": "In a shimmering forest under a sky full of stars, a lonely unicorn named Lila discovered a hidden pond that glowed with moonlight. Every night, she would leave sparkling, magical flowers by the water's edge, hoping to share her beauty with others. One enchanting evening, she woke to find a group of friendly animals gathered around, eager to be friends and share in her magic.",
+              "annotations": []
+            }
+          }
+    ResponseCreatedEvent:
+      type: object
+      description: |
+        An event that is emitted when a response is created.
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the event. Always `response.created`.
+          enum:
+            - response.created
+          x-stainless-const: true
+        response:
+          $ref: "#/components/schemas/Response"
+          description: |
+            The response that was created.
+      required:
+        - type
+        - response
+      x-oaiMeta:
+        name: response.created
+        group: responses
+        example: |
+          {
+            "type": "response.created",
+            "response": {
+              "id": "resp_67ccfcdd16748190a91872c75d38539e09e4d4aac714747c",
+              "object": "response",
+              "created_at": 1741487325,
+              "status": "in_progress",
+              "error": null,
+              "incomplete_details": null,
+              "instructions": null,
+              "max_output_tokens": null,
+              "model": "gpt-4o-2024-08-06",
+              "output": [],
+              "parallel_tool_calls": true,
+              "previous_response_id": null,
+              "reasoning": {
+                "effort": null,
+                "generate_summary": null
+              },
+              "store": true,
+              "temperature": 1,
+              "text": {
+                "format": {
+                  "type": "text"
+                }
+              },
+              "tool_choice": "auto",
+              "tools": [],
+              "top_p": 1,
+              "truncation": "disabled",
+              "usage": null,
+              "user": null,
+              "metadata": {}
+            }
+          }
+    ResponseError:
+      type: object
+      description: |
+        An error object returned when the model fails to generate a Response.
+      nullable: true
+      properties:
+        code:
+          $ref: "#/components/schemas/ResponseErrorCode"
+        message:
+          type: string
+          description: |
+            A human-readable description of the error.
+      required:
+        - code
+        - message
+    ResponseErrorCode:
+      type: string
+      description: |
+        The error code for the response.
+      enum:
+        - server_error
+        - rate_limit_exceeded
+        - invalid_prompt
+        - vector_store_timeout
+        - invalid_image
+        - invalid_image_format
+        - invalid_base64_image
+        - invalid_image_url
+        - image_too_large
+        - image_too_small
+        - image_parse_error
+        - image_content_policy_violation
+        - invalid_image_mode
+        - image_file_too_large
+        - unsupported_image_media_type
+        - empty_image_file
+        - failed_to_download_image
+        - image_file_not_found
+    ResponseErrorEvent:
+      type: object
+      description: Emitted when an error occurs.
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the event. Always `error`.
+          enum:
+            - error
+          x-stainless-const: true
+        code:
+          type: string
+          description: |
+            The error code.
+          nullable: true
+        message:
+          type: string
+          description: |
+            The error message.
+        param:
+          type: string
+          description: |
+            The error parameter.
+          nullable: true
+      required:
+        - type
+        - code
+        - message
+        - param
+      x-oaiMeta:
+        name: error
+        group: responses
+        example: |
+          {
+            "type": "error",
+            "code": "ERR_SOMETHING",
+            "message": "Something went wrong",
+            "param": null
+          }
+    ResponseFailedEvent:
+      type: object
+      description: |
+        An event that is emitted when a response fails.
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the event. Always `response.failed`.
+          enum:
+            - response.failed
+          x-stainless-const: true
+        response:
+          $ref: "#/components/schemas/Response"
+          description: |
+            The response that failed.
+      required:
+        - type
+        - response
+      x-oaiMeta:
+        name: response.failed
+        group: responses
+        example: |
+          {
+            "type": "response.failed",
+            "response": {
+              "id": "resp_123",
+              "object": "response",
+              "created_at": 1740855869,
+              "status": "failed",
+              "error": {
+                "code": "server_error",
+                "message": "The model failed to generate a response."
+              },
+              "incomplete_details": null,
+              "instructions": null,
+              "max_output_tokens": null,
+              "model": "gpt-4o-mini-2024-07-18",
+              "output": [],
+              "previous_response_id": null,
+              "reasoning_effort": null,
+              "store": false,
+              "temperature": 1,
+              "text": {
+                "format": {
+                  "type": "text"
+                }
+              },
+              "tool_choice": "auto",
+              "tools": [],
+              "top_p": 1,
+              "truncation": "disabled",
+              "usage": null,
+              "user": null,
+              "metadata": {}
+            }
+          }
+    ResponseFileSearchCallCompletedEvent:
+      type: object
+      description: Emitted when a file search call is completed (results found).
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the event. Always `response.file_search_call.completed`.
+          enum:
+            - response.file_search_call.completed
+          x-stainless-const: true
+        output_index:
+          type: integer
+          description: |
+            The index of the output item that the file search call is initiated.
+        item_id:
+          type: string
+          description: |
+            The ID of the output item that the file search call is initiated.
+      required:
+        - type
+        - output_index
+        - item_id
+      x-oaiMeta:
+        name: response.file_search_call.completed
+        group: responses
+        example: |
+          {
+            "type": "response.file_search_call.completed",
+            "output_index": 0,
+            "item_id": "fs_123",
+          }
+    ResponseFileSearchCallInProgressEvent:
+      type: object
+      description: Emitted when a file search call is initiated.
+      properties:
+        type:
+          type: string
+          description: >
+            The type of the event. Always
+            `response.file_search_call.in_progress`.
+          enum:
+            - response.file_search_call.in_progress
+          x-stainless-const: true
+        output_index:
+          type: integer
+          description: |
+            The index of the output item that the file search call is initiated.
+        item_id:
+          type: string
+          description: |
+            The ID of the output item that the file search call is initiated.
+      required:
+        - type
+        - output_index
+        - item_id
+      x-oaiMeta:
+        name: response.file_search_call.in_progress
+        group: responses
+        example: |
+          {
+            "type": "response.file_search_call.in_progress",
+            "output_index": 0,
+            "item_id": "fs_123",
+          }
+    ResponseFileSearchCallSearchingEvent:
+      type: object
+      description: Emitted when a file search is currently searching.
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the event. Always `response.file_search_call.searching`.
+          enum:
+            - response.file_search_call.searching
+          x-stainless-const: true
+        output_index:
+          type: integer
+          description: |
+            The index of the output item that the file search call is searching.
+        item_id:
+          type: string
+          description: |
+            The ID of the output item that the file search call is initiated.
+      required:
+        - type
+        - output_index
+        - item_id
+      x-oaiMeta:
+        name: response.file_search_call.searching
+        group: responses
+        example: |
+          {
+            "type": "response.file_search_call.searching",
+            "output_index": 0,
+            "item_id": "fs_123",
+          }
+    ResponseFormatJsonObject:
+      type: object
+      title: JSON object
+      description: >
+        JSON object response format. An older method of generating JSON
+        responses.
+
+        Using `json_schema` is recommended for models that support it. Note that
+        the
+
+        model will not generate JSON without a system or user message
+        instructing it
+
+        to do so.
+      properties:
+        type:
+          type: string
+          description: The type of response format being defined. Always `json_object`.
+          enum:
+            - json_object
+          x-stainless-const: true
+      required:
+        - type
+    ResponseFormatJsonSchema:
+      type: object
+      title: JSON schema
+      description: |
+        JSON Schema response format. Used to generate structured JSON responses.
+        Learn more about [Structured Outputs](/docs/guides/structured-outputs).
+      properties:
+        type:
+          type: string
+          description: The type of response format being defined. Always `json_schema`.
+          enum:
+            - json_schema
+          x-stainless-const: true
+        json_schema:
+          type: object
+          title: JSON schema
+          description: |
+            Structured Outputs configuration options, including a JSON Schema.
+          properties:
+            description:
+              type: string
+              description: >
+                A description of what the response format is for, used by the
+                model to
+
+                determine how to respond in the format.
+            name:
+              type: string
+              description: >
+                The name of the response format. Must be a-z, A-Z, 0-9, or
+                contain
+
+                underscores and dashes, with a maximum length of 64.
+            schema:
+              $ref: "#/components/schemas/ResponseFormatJsonSchemaSchema"
+            strict:
+              type: boolean
+              nullable: true
+              default: false
+              description: >
+                Whether to enable strict schema adherence when generating the
+                output.
+
+                If set to true, the model will always follow the exact schema
+                defined
+
+                in the `schema` field. Only a subset of JSON Schema is supported
+                when
+
+                `strict` is `true`. To learn more, read the [Structured Outputs
+
+                guide](/docs/guides/structured-outputs).
+          required:
+            - name
+      required:
+        - type
+        - json_schema
+    ResponseFormatJsonSchemaSchema:
+      type: object
+      title: JSON schema
+      description: |
+        The schema for the response format, described as a JSON Schema object.
+        Learn how to build JSON schemas [here](https://json-schema.org/).
+      additionalProperties: true
+    ResponseFormatText:
+      type: object
+      title: Text
+      description: |
+        Default response format. Used to generate text responses.
+      properties:
+        type:
+          type: string
+          description: The type of response format being defined. Always `text`.
+          enum:
+            - text
+          x-stainless-const: true
+      required:
+        - type
+    ResponseFunctionCallArgumentsDeltaEvent:
+      type: object
+      description: Emitted when there is a partial function-call arguments delta.
+      properties:
+        type:
+          type: string
+          description: >
+            The type of the event. Always
+            `response.function_call_arguments.delta`.
+          enum:
+            - response.function_call_arguments.delta
+          x-stainless-const: true
+        item_id:
+          type: string
+          description: >
+            The ID of the output item that the function-call arguments delta is
+            added to.
+        output_index:
+          type: integer
+          description: >
+            The index of the output item that the function-call arguments delta
+            is added to.
+        delta:
+          type: string
+          description: |
+            The function-call arguments delta that is added.
+      required:
+        - type
+        - item_id
+        - output_index
+        - delta
+      x-oaiMeta:
+        name: response.function_call_arguments.delta
+        group: responses
+        example: |
+          {
+            "type": "response.function_call_arguments.delta",
+            "item_id": "item-abc",
+            "output_index": 0,
+            "delta": "{ \"arg\":"
+          }
+    ResponseFunctionCallArgumentsDoneEvent:
+      type: object
+      description: Emitted when function-call arguments are finalized.
+      properties:
+        type:
+          type: string
+          enum:
+            - response.function_call_arguments.done
+          x-stainless-const: true
+        item_id:
+          type: string
+          description: The ID of the item.
+        output_index:
+          type: integer
+          description: The index of the output item.
+        arguments:
+          type: string
+          description: The function-call arguments.
+      required:
+        - type
+        - item_id
+        - output_index
+        - arguments
+      x-oaiMeta:
+        name: response.function_call_arguments.done
+        group: responses
+        example: |
+          {
+            "type": "response.function_call_arguments.done",
+            "item_id": "item-abc",
+            "output_index": 1,
+            "arguments": "{ \"arg\": 123 }"
+          }
+    ResponseInProgressEvent:
+      type: object
+      description: Emitted when the response is in progress.
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the event. Always `response.in_progress`.
+          enum:
+            - response.in_progress
+          x-stainless-const: true
+        response:
+          $ref: "#/components/schemas/Response"
+          description: |
+            The response that is in progress.
+      required:
+        - type
+        - response
+      x-oaiMeta:
+        name: response.in_progress
+        group: responses
+        example: |
+          {
+            "type": "response.in_progress",
+            "response": {
+              "id": "resp_67ccfcdd16748190a91872c75d38539e09e4d4aac714747c",
+              "object": "response",
+              "created_at": 1741487325,
+              "status": "in_progress",
+              "error": null,
+              "incomplete_details": null,
+              "instructions": null,
+              "max_output_tokens": null,
+              "model": "gpt-4o-2024-08-06",
+              "output": [],
+              "parallel_tool_calls": true,
+              "previous_response_id": null,
+              "reasoning": {
+                "effort": null,
+                "generate_summary": null
+              },
+              "store": true,
+              "temperature": 1,
+              "text": {
+                "format": {
+                  "type": "text"
+                }
+              },
+              "tool_choice": "auto",
+              "tools": [],
+              "top_p": 1,
+              "truncation": "disabled",
+              "usage": null,
+              "user": null,
+              "metadata": {}
+            }
+          }
+    ResponseIncompleteEvent:
+      type: object
+      description: |
+        An event that is emitted when a response finishes as incomplete.
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the event. Always `response.incomplete`.
+          enum:
+            - response.incomplete
+          x-stainless-const: true
+        response:
+          $ref: "#/components/schemas/Response"
+          description: |
+            The response that was incomplete.
+      required:
+        - type
+        - response
+      x-oaiMeta:
+        name: response.incomplete
+        group: responses
+        example: |
+          {
+            "type": "response.incomplete",
+            "response": {
+              "id": "resp_123",
+              "object": "response",
+              "created_at": 1740855869,
+              "status": "incomplete",
+              "error": null, 
+              "incomplete_details": {
+                "reason": "max_tokens"
+              },
+              "instructions": null,
+              "max_output_tokens": null,
+              "model": "gpt-4o-mini-2024-07-18",
+              "output": [],
+              "previous_response_id": null,
+              "reasoning_effort": null,
+              "store": false,
+              "temperature": 1,
+              "text": {
+                "format": {
+                  "type": "text"
+                }
+              },
+              "tool_choice": "auto",
+              "tools": [],
+              "top_p": 1,
+              "truncation": "disabled",
+              "usage": null,
+              "user": null,
+              "metadata": {}
+            }
+          }
+    ResponseItemList:
+      type: object
+      description: A list of Response items.
+      properties:
+        object:
+          type: string
+          description: The type of object returned, must be `list`.
+          enum:
+            - list
+          x-stainless-const: true
+        data:
+          type: array
+          description: A list of items used to generate this response.
+          items:
+            $ref: "#/components/schemas/ItemResource"
+        has_more:
+          type: boolean
+          description: Whether there are more items available.
+        first_id:
+          type: string
+          description: The ID of the first item in the list.
+        last_id:
+          type: string
+          description: The ID of the last item in the list.
+      required:
+        - object
+        - data
+        - has_more
+        - first_id
+        - last_id
+      x-oaiExpandable: true
+      x-oaiMeta:
+        name: The input item list
+        group: responses
+        example: >
+          {
+            "object": "list",
+            "data": [
+              {
+                "id": "msg_abc123",
+                "type": "message",
+                "role": "user",
+                "content": [
+                  {
+                    "type": "input_text",
+                    "text": "Tell me a three sentence bedtime story about a unicorn."
+                  }
+                ]
+              }
+            ],
+            "first_id": "msg_abc123",
+            "last_id": "msg_abc123",
+            "has_more": false
+          }
+    ResponseModalities:
+      type: array
+      nullable: true
+      description: >
+        Output types that you would like the model to generate.
+
+        Most models are capable of generating text, which is the default:
+
+
+        `["text"]`
+
+
+        The `gpt-4o-audio-preview` model can also be used to 
+
+        [generate audio](/docs/guides/audio). To request that this model
+        generate 
+
+        both text and audio responses, you can use:
+
+
+        `["text", "audio"]`
+      items:
+        type: string
+        enum:
+          - text
+          - audio
+    ResponseModalitiesTextOnly:
+      type: array
+      nullable: true
+      description: >
+        Output types that you would like the model to generate.
+
+        Most models are capable of generating text, which is the default:
+
+
+        `["text"]`
+
+
+        This API will soon support other output modalities, including audio and
+        images.
+      items:
+        type: string
+        enum:
+          - text
+    ResponseOutputItemAddedEvent:
+      type: object
+      description: Emitted when a new output item is added.
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the event. Always `response.output_item.added`.
+          enum:
+            - response.output_item.added
+          x-stainless-const: true
+        output_index:
+          type: integer
+          description: |
+            The index of the output item that was added.
+        item:
+          $ref: "#/components/schemas/OutputItem"
+          x-oaiExpandable: true
+          description: |
+            The output item that was added.
+      required:
+        - type
+        - output_index
+        - item
+      x-oaiMeta:
+        name: response.output_item.added
+        group: responses
+        example: |
+          {
+            "type": "response.output_item.added",
+            "output_index": 0,
+            "item": {
+              "id": "msg_123",
+              "status": "in_progress",
+              "type": "message",
+              "role": "assistant",
+              "content": []
+            }
+          }
+    ResponseOutputItemDoneEvent:
+      type: object
+      description: Emitted when an output item is marked done.
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the event. Always `response.output_item.done`.
+          enum:
+            - response.output_item.done
+          x-stainless-const: true
+        output_index:
+          type: integer
+          description: |
+            The index of the output item that was marked done.
+        item:
+          $ref: "#/components/schemas/OutputItem"
+          x-oaiExpandable: true
+          description: |
+            The output item that was marked done.
+      required:
+        - type
+        - output_index
+        - item
+      x-oaiMeta:
+        name: response.output_item.done
+        group: responses
+        example: >
+          {
+            "type": "response.output_item.done",
+            "output_index": 0,
+            "item": {
+              "id": "msg_123",
+              "status": "completed",
+              "type": "message",
+              "role": "assistant",
+              "content": [
+                {
+                  "type": "output_text",
+                  "text": "In a shimmering forest under a sky full of stars, a lonely unicorn named Lila discovered a hidden pond that glowed with moonlight. Every night, she would leave sparkling, magical flowers by the water's edge, hoping to share her beauty with others. One enchanting evening, she woke to find a group of friendly animals gathered around, eager to be friends and share in her magic.",
+                  "annotations": []
+                }
+              ]
+            }
+          }
+    ResponseProperties:
+      type: object
+      properties:
+        previous_response_id:
+          type: string
+          description: |
+            The unique ID of the previous response to the model. Use this to
+            create multi-turn conversations. Learn more about 
+            [conversation state](/docs/guides/conversation-state).
+          nullable: true
+        model:
+          description: >
+            Model ID used to generate the response, like `gpt-4o` or `o1`.
+            OpenAI
+
+            offers a wide range of models with different capabilities,
+            performance
+
+            characteristics, and price points. Refer to the [model
+            guide](/docs/models)
+
+            to browse and compare available models.
+          $ref: "#/components/schemas/ModelIdsResponses"
+        reasoning:
+          $ref: "#/components/schemas/Reasoning"
+          nullable: true
+        max_output_tokens:
+          description: >
+            An upper bound for the number of tokens that can be generated for a
+            response, including visible output tokens and [reasoning
+            tokens](/docs/guides/reasoning).
+          type: integer
+          nullable: true
+        instructions:
+          type: string
+          description: >
+            Inserts a system (or developer) message as the first item in the
+            model's context.
+
+
+            When using along with `previous_response_id`, the instructions from
+            a previous
+
+            response will be not be carried over to the next response. This
+            makes it simple
+
+            to swap out system (or developer) messages in new responses.
+          nullable: true
+        text:
+          type: object
+          description: >
+            Configuration options for a text response from the model. Can be
+            plain
+
+            text or structured JSON data. Learn more:
+
+            - [Text inputs and outputs](/docs/guides/text)
+
+            - [Structured Outputs](/docs/guides/structured-outputs)
+          properties:
+            format:
+              $ref: "#/components/schemas/TextResponseFormatConfiguration"
+        tools:
+          type: array
+          description: >
+            An array of tools the model may call while generating a response.
+            You 
+
+            can specify which tool to use by setting the `tool_choice`
+            parameter.
+
+
+            The two categories of tools you can provide the model are:
+
+
+            - **Built-in tools**: Tools that are provided by OpenAI that extend
+            the
+              model's capabilities, like [web search](/docs/guides/tools-web-search)
+              or [file search](/docs/guides/tools-file-search). Learn more about
+              [built-in tools](/docs/guides/tools).
+            - **Function calls (custom tools)**: Functions that are defined by
+            you,
+              enabling the model to call your own code. Learn more about
+              [function calling](/docs/guides/function-calling).
+          items:
+            $ref: "#/components/schemas/Tool"
+        tool_choice:
+          description: >
+            How the model should select which tool (or tools) to use when
+            generating
+
+            a response. See the `tools` parameter to see how to specify which
+            tools
+
+            the model can call.
+          x-oaiExpandable: true
+          oneOf:
+            - $ref: "#/components/schemas/ToolChoiceOptions"
+            - $ref: "#/components/schemas/ToolChoiceTypes"
+            - $ref: "#/components/schemas/ToolChoiceFunction"
+        truncation:
+          type: string
+          description: >
+            The truncation strategy to use for the model response.
+
+            - `auto`: If the context of this response and previous ones exceeds
+              the model's context window size, the model will truncate the 
+              response to fit the context window by dropping input items in the
+              middle of the conversation. 
+            - `disabled` (default): If a model response will exceed the context
+            window 
+              size for a model, the request will fail with a 400 error.
+          enum:
+            - auto
+            - disabled
+          nullable: true
+          default: disabled
+    ResponseRefusalDeltaEvent:
+      type: object
+      description: Emitted when there is a partial refusal text.
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the event. Always `response.refusal.delta`.
+          enum:
+            - response.refusal.delta
+          x-stainless-const: true
+        item_id:
+          type: string
+          description: |
+            The ID of the output item that the refusal text is added to.
+        output_index:
+          type: integer
+          description: |
+            The index of the output item that the refusal text is added to.
+        content_index:
+          type: integer
+          description: |
+            The index of the content part that the refusal text is added to.
+        delta:
+          type: string
+          description: |
+            The refusal text that is added.
+      required:
+        - type
+        - item_id
+        - output_index
+        - content_index
+        - delta
+      x-oaiMeta:
+        name: response.refusal.delta
+        group: responses
+        example: |
+          {
+            "type": "response.refusal.delta",
+            "item_id": "msg_123",
+            "output_index": 0,
+            "content_index": 0,
+            "delta": "refusal text so far"
+          }
+    ResponseRefusalDoneEvent:
+      type: object
+      description: Emitted when refusal text is finalized.
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the event. Always `response.refusal.done`.
+          enum:
+            - response.refusal.done
+          x-stainless-const: true
+        item_id:
+          type: string
+          description: |
+            The ID of the output item that the refusal text is finalized.
+        output_index:
+          type: integer
+          description: |
+            The index of the output item that the refusal text is finalized.
+        content_index:
+          type: integer
+          description: |
+            The index of the content part that the refusal text is finalized.
+        refusal:
+          type: string
+          description: |
+            The refusal text that is finalized.
+      required:
+        - type
+        - item_id
+        - output_index
+        - content_index
+        - refusal
+      x-oaiMeta:
+        name: response.refusal.done
+        group: responses
+        example: |
+          {
+            "type": "response.refusal.done",
+            "item_id": "item-abc",
+            "output_index": 1,
+            "content_index": 2,
+            "refusal": "final refusal text"
+          }
+    ResponseStreamEvent:
+      anyOf:
+        - $ref: "#/components/schemas/ResponseAudioDeltaEvent"
+        - $ref: "#/components/schemas/ResponseAudioDoneEvent"
+        - $ref: "#/components/schemas/ResponseAudioTranscriptDeltaEvent"
+        - $ref: "#/components/schemas/ResponseAudioTranscriptDoneEvent"
+        - $ref: "#/components/schemas/ResponseCodeInterpreterCallCodeDeltaEvent"
+        - $ref: "#/components/schemas/ResponseCodeInterpreterCallCodeDoneEvent"
+        - $ref: "#/components/schemas/ResponseCodeInterpreterCallCompletedEvent"
+        - $ref: "#/components/schemas/ResponseCodeInterpreterCallInProgressEvent"
+        - $ref: "#/components/schemas/ResponseCodeInterpreterCallInterpretingEvent"
+        - $ref: "#/components/schemas/ResponseCompletedEvent"
+        - $ref: "#/components/schemas/ResponseContentPartAddedEvent"
+        - $ref: "#/components/schemas/ResponseContentPartDoneEvent"
+        - $ref: "#/components/schemas/ResponseCreatedEvent"
+        - $ref: "#/components/schemas/ResponseErrorEvent"
+        - $ref: "#/components/schemas/ResponseFileSearchCallCompletedEvent"
+        - $ref: "#/components/schemas/ResponseFileSearchCallInProgressEvent"
+        - $ref: "#/components/schemas/ResponseFileSearchCallSearchingEvent"
+        - $ref: "#/components/schemas/ResponseFunctionCallArgumentsDeltaEvent"
+        - $ref: "#/components/schemas/ResponseFunctionCallArgumentsDoneEvent"
+        - $ref: "#/components/schemas/ResponseInProgressEvent"
+        - $ref: "#/components/schemas/ResponseFailedEvent"
+        - $ref: "#/components/schemas/ResponseIncompleteEvent"
+        - $ref: "#/components/schemas/ResponseOutputItemAddedEvent"
+        - $ref: "#/components/schemas/ResponseOutputItemDoneEvent"
+        - $ref: "#/components/schemas/ResponseRefusalDeltaEvent"
+        - $ref: "#/components/schemas/ResponseRefusalDoneEvent"
+        - $ref: "#/components/schemas/ResponseTextAnnotationDeltaEvent"
+        - $ref: "#/components/schemas/ResponseTextDeltaEvent"
+        - $ref: "#/components/schemas/ResponseTextDoneEvent"
+        - $ref: "#/components/schemas/ResponseWebSearchCallCompletedEvent"
+        - $ref: "#/components/schemas/ResponseWebSearchCallInProgressEvent"
+        - $ref: "#/components/schemas/ResponseWebSearchCallSearchingEvent"
+      discriminator:
+        propertyName: type
+    ResponseTextAnnotationDeltaEvent:
+      type: object
+      description: Emitted when a text annotation is added.
+      properties:
+        type:
+          type: string
+          description: >
+            The type of the event. Always
+            `response.output_text.annotation.added`.
+          enum:
+            - response.output_text.annotation.added
+          x-stainless-const: true
+        item_id:
+          type: string
+          description: |
+            The ID of the output item that the text annotation was added to.
+        output_index:
+          type: integer
+          description: |
+            The index of the output item that the text annotation was added to.
+        content_index:
+          type: integer
+          description: |
+            The index of the content part that the text annotation was added to.
+        annotation_index:
+          type: integer
+          description: |
+            The index of the annotation that was added.
+        annotation:
+          $ref: "#/components/schemas/Annotation"
+      required:
+        - type
+        - item_id
+        - output_index
+        - content_index
+        - annotation_index
+        - annotation
+      x-oaiMeta:
+        name: response.output_text.annotation.added
+        group: responses
+        example: |
+          {
+            "type": "response.output_text.annotation.added",
+            "item_id": "msg_abc123",
+            "output_index": 1,
+            "content_index": 0,
+            "annotation_index": 0,
+            "annotation": {
+              "type": "file_citation",
+              "index": 390,
+              "file_id": "file-4wDz5b167pAf72nx1h9eiN",
+              "filename": "dragons.pdf"
+            }
+          }
+    ResponseTextDeltaEvent:
+      type: object
+      description: Emitted when there is an additional text delta.
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the event. Always `response.output_text.delta`.
+          enum:
+            - response.output_text.delta
+          x-stainless-const: true
+        item_id:
+          type: string
+          description: |
+            The ID of the output item that the text delta was added to.
+        output_index:
+          type: integer
+          description: |
+            The index of the output item that the text delta was added to.
+        content_index:
+          type: integer
+          description: |
+            The index of the content part that the text delta was added to.
+        delta:
+          type: string
+          description: |
+            The text delta that was added.
+      required:
+        - type
+        - item_id
+        - output_index
+        - content_index
+        - delta
+      x-oaiMeta:
+        name: response.output_text.delta
+        group: responses
+        example: |
+          {
+            "type": "response.output_text.delta",
+            "item_id": "msg_123",
+            "output_index": 0,
+            "content_index": 0,
+            "delta": "In"
+          }
+    ResponseTextDoneEvent:
+      type: object
+      description: Emitted when text content is finalized.
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the event. Always `response.output_text.done`.
+          enum:
+            - response.output_text.done
+          x-stainless-const: true
+        item_id:
+          type: string
+          description: |
+            The ID of the output item that the text content is finalized.
+        output_index:
+          type: integer
+          description: |
+            The index of the output item that the text content is finalized.
+        content_index:
+          type: integer
+          description: |
+            The index of the content part that the text content is finalized.
+        text:
+          type: string
+          description: |
+            The text content that is finalized.
+      required:
+        - type
+        - item_id
+        - output_index
+        - content_index
+        - text
+      x-oaiMeta:
+        name: response.output_text.done
+        group: responses
+        example: >
+          {
+            "type": "response.output_text.done",
+            "item_id": "msg_123",
+            "output_index": 0,
+            "content_index": 0,
+            "text": "In a shimmering forest under a sky full of stars, a lonely unicorn named Lila discovered a hidden pond that glowed with moonlight. Every night, she would leave sparkling, magical flowers by the water's edge, hoping to share her beauty with others. One enchanting evening, she woke to find a group of friendly animals gathered around, eager to be friends and share in her magic."
+          }
+    ResponseUsage:
+      type: object
+      description: |
+        Represents token usage details including input tokens, output tokens,
+        a breakdown of output tokens, and the total tokens used.
+      properties:
+        input_tokens:
+          type: integer
+          description: The number of input tokens.
+        input_tokens_details:
+          type: object
+          description: A detailed breakdown of the input tokens.
+          properties:
+            cached_tokens:
+              type: integer
+              description: |
+                The number of tokens that were retrieved from the cache. 
+                [More on prompt caching](/docs/guides/prompt-caching).
+          required:
+            - cached_tokens
+        output_tokens:
+          type: integer
+          description: The number of output tokens.
+        output_tokens_details:
+          type: object
+          description: A detailed breakdown of the output tokens.
+          properties:
+            reasoning_tokens:
+              type: integer
+              description: The number of reasoning tokens.
+          required:
+            - reasoning_tokens
+        total_tokens:
+          type: integer
+          description: The total number of tokens used.
+      required:
+        - input_tokens
+        - input_tokens_details
+        - output_tokens
+        - output_tokens_details
+        - total_tokens
+    ResponseWebSearchCallCompletedEvent:
+      type: object
+      description: Emitted when a web search call is completed.
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the event. Always `response.web_search_call.completed`.
+          enum:
+            - response.web_search_call.completed
+          x-stainless-const: true
+        output_index:
+          type: integer
+          description: >
+            The index of the output item that the web search call is associated
+            with.
+        item_id:
+          type: string
+          description: |
+            Unique ID for the output item associated with the web search call.
+      required:
+        - type
+        - output_index
+        - item_id
+      x-oaiMeta:
+        name: response.web_search_call.completed
+        group: responses
+        example: |
+          {
+            "type": "response.web_search_call.completed",
+            "output_index": 0,
+            "item_id": "ws_123",
+          }
+    ResponseWebSearchCallInProgressEvent:
+      type: object
+      description: Emitted when a web search call is initiated.
+      properties:
+        type:
+          type: string
+          description: >
+            The type of the event. Always `response.web_search_call.in_progress`.
+          enum:
+            - response.web_search_call.in_progress
+          x-stainless-const: true
+        output_index:
+          type: integer
+          description: >
+            The index of the output item that the web search call is associated
+            with.
+        item_id:
+          type: string
+          description: |
+            Unique ID for the output item associated with the web search call.
+      required:
+        - type
+        - output_index
+        - item_id
+      x-oaiMeta:
+        name: response.web_search_call.in_progress
+        group: responses
+        example: |
+          {
+            "type": "response.web_search_call.in_progress",
+            "output_index": 0,
+            "item_id": "ws_123",
+          }
+    ResponseWebSearchCallSearchingEvent:
+      type: object
+      description: Emitted when a web search call is executing.
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the event. Always `response.web_search_call.searching`.
+          enum:
+            - response.web_search_call.searching
+          x-stainless-const: true
+        output_index:
+          type: integer
+          description: >
+            The index of the output item that the web search call is associated
+            with.
+        item_id:
+          type: string
+          description: |
+            Unique ID for the output item associated with the web search call.
+      required:
+        - type
+        - output_index
+        - item_id
+      x-oaiMeta:
+        name: response.web_search_call.searching
+        group: responses
+        example: |
+          {
+            "type": "response.web_search_call.searching",
+            "output_index": 0,
+            "item_id": "ws_123",
+          }
+    RunCompletionUsage:
+      type: object
+      description:
+        Usage statistics related to the run. This value will be `null` if
+        the run is not in a terminal state (i.e. `in_progress`, `queued`, etc.).
+      properties:
+        completion_tokens:
+          type: integer
+          description: Number of completion tokens used over the course of the run.
+        prompt_tokens:
+          type: integer
+          description: Number of prompt tokens used over the course of the run.
+        total_tokens:
+          type: integer
+          description: Total number of tokens used (prompt + completion).
+      required:
+        - prompt_tokens
+        - completion_tokens
+        - total_tokens
+      nullable: true
+    RunObject:
+      type: object
+      title: A run on a thread
+      description: Represents an execution run on a [thread](/docs/api-reference/threads).
+      properties:
+        id:
+          description: The identifier, which can be referenced in API endpoints.
+          type: string
+        object:
+          description: The object type, which is always `thread.run`.
+          type: string
+          enum:
+            - thread.run
+          x-stainless-const: true
+        created_at:
+          description: The Unix timestamp (in seconds) for when the run was created.
+          type: integer
+        thread_id:
+          description:
+            The ID of the [thread](/docs/api-reference/threads) that was
+            executed on as a part of this run.
+          type: string
+        assistant_id:
+          description:
+            The ID of the [assistant](/docs/api-reference/assistants) used for
+            execution of this run.
+          type: string
+        status:
+          description:
+            The status of the run, which can be either `queued`, `in_progress`,
+            `requires_action`, `cancelling`, `cancelled`, `failed`, `completed`,
+            `incomplete`, or `expired`.
+          type: string
+          enum:
+            - queued
+            - in_progress
+            - requires_action
+            - cancelling
+            - cancelled
+            - failed
+            - completed
+            - incomplete
+            - expired
+        required_action:
+          type: object
+          description:
+            Details on the action required to continue the run. Will be `null`
+            if no action is required.
+          nullable: true
+          properties:
+            type:
+              description: For now, this is always `submit_tool_outputs`.
+              type: string
+              enum:
+                - submit_tool_outputs
+              x-stainless-const: true
+            submit_tool_outputs:
+              type: object
+              description: Details on the tool outputs needed for this run to continue.
+              properties:
+                tool_calls:
+                  type: array
+                  description: A list of the relevant tool calls.
+                  items:
+                    $ref: "#/components/schemas/RunToolCallObject"
+              required:
+                - tool_calls
+          required:
+            - type
+            - submit_tool_outputs
+        last_error:
+          type: object
+          description:
+            The last error associated with this run. Will be `null` if there
+            are no errors.
+          nullable: true
+          properties:
+            code:
+              type: string
+              description: One of `server_error`, `rate_limit_exceeded`, or `invalid_prompt`.
+              enum:
+                - server_error
+                - rate_limit_exceeded
+                - invalid_prompt
+            message:
+              type: string
+              description: A human-readable description of the error.
+          required:
+            - code
+            - message
+        expires_at:
+          description: The Unix timestamp (in seconds) for when the run will expire.
+          type: integer
+          nullable: true
+        started_at:
+          description: The Unix timestamp (in seconds) for when the run was started.
+          type: integer
+          nullable: true
+        cancelled_at:
+          description: The Unix timestamp (in seconds) for when the run was cancelled.
+          type: integer
+          nullable: true
+        failed_at:
+          description: The Unix timestamp (in seconds) for when the run failed.
+          type: integer
+          nullable: true
+        completed_at:
+          description: The Unix timestamp (in seconds) for when the run was completed.
+          type: integer
+          nullable: true
+        incomplete_details:
+          description:
+            Details on why the run is incomplete. Will be `null` if the run is
+            not incomplete.
+          type: object
+          nullable: true
+          properties:
+            reason:
+              description:
+                The reason why the run is incomplete. This will point to which
+                specific token limit was reached over the course of the run.
+              type: string
+              enum:
+                - max_completion_tokens
+                - max_prompt_tokens
+        model:
+          description:
+            The model that the [assistant](/docs/api-reference/assistants) used
+            for this run.
+          type: string
+        instructions:
+          description: The instructions that the
+            [assistant](/docs/api-reference/assistants) used for this run.
+          type: string
+        tools:
+          description: The list of tools that the
+            [assistant](/docs/api-reference/assistants) used for this run.
+          default: []
+          type: array
+          maxItems: 20
+          items:
+            oneOf:
+              - $ref: "#/components/schemas/AssistantToolsCode"
+              - $ref: "#/components/schemas/AssistantToolsFileSearch"
+              - $ref: "#/components/schemas/AssistantToolsFunction"
+            x-oaiExpandable: true
+        metadata:
+          $ref: "#/components/schemas/Metadata"
+        usage:
+          $ref: "#/components/schemas/RunCompletionUsage"
+        temperature:
+          description:
+            The sampling temperature used for this run. If not set, defaults to
+            1.
+          type: number
+          nullable: true
+        top_p:
+          description:
+            The nucleus sampling value used for this run. If not set, defaults
+            to 1.
+          type: number
+          nullable: true
+        max_prompt_tokens:
+          type: integer
+          nullable: true
+          description: >
+            The maximum number of prompt tokens specified to have been used over
+            the course of the run.
+          minimum: 256
+        max_completion_tokens:
+          type: integer
+          nullable: true
+          description: >
+            The maximum number of completion tokens specified to have been used
+            over the course of the run.
+          minimum: 256
+        truncation_strategy:
+          allOf:
+            - $ref: "#/components/schemas/TruncationObject"
+            - nullable: true
+        tool_choice:
+          allOf:
+            - $ref: "#/components/schemas/AssistantsApiToolChoiceOption"
+            - nullable: true
+        parallel_tool_calls:
+          $ref: "#/components/schemas/ParallelToolCalls"
+        response_format:
+          $ref: "#/components/schemas/AssistantsApiResponseFormatOption"
+          nullable: true
+      required:
+        - id
+        - object
+        - created_at
+        - thread_id
+        - assistant_id
+        - status
+        - required_action
+        - last_error
+        - expires_at
+        - started_at
+        - cancelled_at
+        - failed_at
+        - completed_at
+        - model
+        - instructions
+        - tools
+        - metadata
+        - usage
+        - incomplete_details
+        - max_prompt_tokens
+        - max_completion_tokens
+        - truncation_strategy
+        - tool_choice
+        - parallel_tool_calls
+        - response_format
+      x-oaiMeta:
+        name: The run object
+        beta: true
+        example: |
+          {
+            "id": "run_abc123",
+            "object": "thread.run",
+            "created_at": 1698107661,
+            "assistant_id": "asst_abc123",
+            "thread_id": "thread_abc123",
+            "status": "completed",
+            "started_at": 1699073476,
+            "expires_at": null,
+            "cancelled_at": null,
+            "failed_at": null,
+            "completed_at": 1699073498,
+            "last_error": null,
+            "model": "gpt-4o",
+            "instructions": null,
+            "tools": [{"type": "file_search"}, {"type": "code_interpreter"}],
+            "metadata": {},
+            "incomplete_details": null,
+            "usage": {
+              "prompt_tokens": 123,
+              "completion_tokens": 456,
+              "total_tokens": 579
+            },
+            "temperature": 1.0,
+            "top_p": 1.0,
+            "max_prompt_tokens": 1000,
+            "max_completion_tokens": 1000,
+            "truncation_strategy": {
+              "type": "auto",
+              "last_messages": null
+            },
+            "response_format": "auto",
+            "tool_choice": "auto",
+            "parallel_tool_calls": true
+          }
+    RunStepCompletionUsage:
+      type: object
+      description:
+        Usage statistics related to the run step. This value will be `null`
+        while the run step's status is `in_progress`.
+      properties:
+        completion_tokens:
+          type: integer
+          description: Number of completion tokens used over the course of the run step.
+        prompt_tokens:
+          type: integer
+          description: Number of prompt tokens used over the course of the run step.
+        total_tokens:
+          type: integer
+          description: Total number of tokens used (prompt + completion).
+      required:
+        - prompt_tokens
+        - completion_tokens
+        - total_tokens
+      nullable: true
+    RunStepDeltaObject:
+      type: object
+      title: Run step delta object
+      description: >
+        Represents a run step delta i.e. any changed fields on a run step during
+        streaming.
+      properties:
+        id:
+          description:
+            The identifier of the run step, which can be referenced in API
+            endpoints.
+          type: string
+        object:
+          description: The object type, which is always `thread.run.step.delta`.
+          type: string
+          enum:
+            - thread.run.step.delta
+          x-stainless-const: true
+        delta:
+          description: The delta containing the fields that have changed on the run step.
+          type: object
+          properties:
+            step_details:
+              type: object
+              description: The details of the run step.
+              oneOf:
+                - $ref: "#/components/schemas/RunStepDeltaStepDetailsMessageCreationObject"
+                - $ref: "#/components/schemas/RunStepDeltaStepDetailsToolCallsObject"
+              x-oaiExpandable: true
+      required:
+        - id
+        - object
+        - delta
+      x-oaiMeta:
+        name: The run step delta object
+        beta: true
+        example: |
+          {
+            "id": "step_123",
+            "object": "thread.run.step.delta",
+            "delta": {
+              "step_details": {
+                "type": "tool_calls",
+                "tool_calls": [
+                  {
+                    "index": 0,
+                    "id": "call_123",
+                    "type": "code_interpreter",
+                    "code_interpreter": { "input": "", "outputs": [] }
+                  }
+                ]
+              }
+            }
+          }
+    RunStepDeltaStepDetailsMessageCreationObject:
+      title: Message creation
+      type: object
+      description: Details of the message creation by the run step.
+      properties:
+        type:
+          description: Always `message_creation`.
+          type: string
+          enum:
+            - message_creation
+          x-stainless-const: true
+        message_creation:
+          type: object
+          properties:
+            message_id:
+              type: string
+              description: The ID of the message that was created by this run step.
+      required:
+        - type
+    RunStepDeltaStepDetailsToolCallsCodeObject:
+      title: Code interpreter tool call
+      type: object
+      description: Details of the Code Interpreter tool call the run step was involved in.
+      properties:
+        index:
+          type: integer
+          description: The index of the tool call in the tool calls array.
+        id:
+          type: string
+          description: The ID of the tool call.
+        type:
+          type: string
+          description: The type of tool call. This is always going to be
+            `code_interpreter` for this type of tool call.
+          enum:
+            - code_interpreter
+          x-stainless-const: true
+        code_interpreter:
+          type: object
+          description: The Code Interpreter tool call definition.
+          properties:
+            input:
+              type: string
+              description: The input to the Code Interpreter tool call.
+            outputs:
+              type: array
+              description:
+                The outputs from the Code Interpreter tool call. Code Interpreter
+                can output one or more items, including text (`logs`) or images
+                (`image`). Each of these are represented by a different object
+                type.
+              items:
+                type: object
+                oneOf:
+                  - $ref:
+                      "#/components/schemas/RunStepDeltaStepDetailsToolCallsCodeOutputLogsObjec\
+                      t"
+                  - $ref:
+                      "#/components/schemas/RunStepDeltaStepDetailsToolCallsCodeOutputImageObje\
+                      ct"
+                x-oaiExpandable: true
+      required:
+        - index
+        - type
+    RunStepDeltaStepDetailsToolCallsCodeOutputImageObject:
+      title: Code interpreter image output
+      type: object
+      properties:
+        index:
+          type: integer
+          description: The index of the output in the outputs array.
+        type:
+          description: Always `image`.
+          type: string
+          enum:
+            - image
+          x-stainless-const: true
+        image:
+          type: object
+          properties:
+            file_id:
+              description: The [file](/docs/api-reference/files) ID of the image.
+              type: string
+      required:
+        - index
+        - type
+    RunStepDeltaStepDetailsToolCallsCodeOutputLogsObject:
+      title: Code interpreter log output
+      type: object
+      description: Text output from the Code Interpreter tool call as part of a run step.
+      properties:
+        index:
+          type: integer
+          description: The index of the output in the outputs array.
+        type:
+          description: Always `logs`.
+          type: string
+          enum:
+            - logs
+          x-stainless-const: true
+        logs:
+          type: string
+          description: The text output from the Code Interpreter tool call.
+      required:
+        - index
+        - type
+    RunStepDeltaStepDetailsToolCallsFileSearchObject:
+      title: File search tool call
+      type: object
+      properties:
+        index:
+          type: integer
+          description: The index of the tool call in the tool calls array.
+        id:
+          type: string
+          description: The ID of the tool call object.
+        type:
+          type: string
+          description:
+            The type of tool call. This is always going to be `file_search` for
+            this type of tool call.
+          enum:
+            - file_search
+          x-stainless-const: true
+        file_search:
+          type: object
+          description: For now, this is always going to be an empty object.
+          x-oaiTypeLabel: map
+      required:
+        - index
+        - type
+        - file_search
+    RunStepDeltaStepDetailsToolCallsFunctionObject:
+      type: object
+      title: Function tool call
+      properties:
+        index:
+          type: integer
+          description: The index of the tool call in the tool calls array.
+        id:
+          type: string
+          description: The ID of the tool call object.
+        type:
+          type: string
+          description:
+            The type of tool call. This is always going to be `function` for
+            this type of tool call.
+          enum:
+            - function
+          x-stainless-const: true
+        function:
+          type: object
+          description: The definition of the function that was called.
+          properties:
+            name:
+              type: string
+              description: The name of the function.
+            arguments:
+              type: string
+              description: The arguments passed to the function.
+            output:
+              type: string
+              description:
+                The output of the function. This will be `null` if the outputs have
+                not been [submitted](/docs/api-reference/runs/submitToolOutputs)
+                yet.
+              nullable: true
+      required:
+        - index
+        - type
+    RunStepDeltaStepDetailsToolCallsObject:
+      title: Tool calls
+      type: object
+      description: Details of the tool call.
+      properties:
+        type:
+          description: Always `tool_calls`.
+          type: string
+          enum:
+            - tool_calls
+          x-stainless-const: true
+        tool_calls:
+          type: array
+          description: >
+            An array of tool calls the run step was involved in. These can be
+            associated with one of three types of tools: `code_interpreter`,
+            `file_search`, or `function`.
+          items:
+            oneOf:
+              - $ref: "#/components/schemas/RunStepDeltaStepDetailsToolCallsCodeObject"
+              - $ref: "#/components/schemas/RunStepDeltaStepDetailsToolCallsFileSearchObject"
+              - $ref: "#/components/schemas/RunStepDeltaStepDetailsToolCallsFunctionObject"
+            x-oaiExpandable: true
+      required:
+        - type
+    RunStepDetailsMessageCreationObject:
+      title: Message creation
+      type: object
+      description: Details of the message creation by the run step.
+      properties:
+        type:
+          description: Always `message_creation`.
+          type: string
+          enum:
+            - message_creation
+          x-stainless-const: true
+        message_creation:
+          type: object
+          properties:
+            message_id:
+              type: string
+              description: The ID of the message that was created by this run step.
+          required:
+            - message_id
+      required:
+        - type
+        - message_creation
+    RunStepDetailsToolCallsCodeObject:
+      title: Code Interpreter tool call
+      type: object
+      description: Details of the Code Interpreter tool call the run step was involved in.
+      properties:
+        id:
+          type: string
+          description: The ID of the tool call.
+        type:
+          type: string
+          description: The type of tool call. This is always going to be
+            `code_interpreter` for this type of tool call.
+          enum:
+            - code_interpreter
+          x-stainless-const: true
+        code_interpreter:
+          type: object
+          description: The Code Interpreter tool call definition.
+          required:
+            - input
+            - outputs
+          properties:
+            input:
+              type: string
+              description: The input to the Code Interpreter tool call.
+            outputs:
+              type: array
+              description:
+                The outputs from the Code Interpreter tool call. Code Interpreter
+                can output one or more items, including text (`logs`) or images
+                (`image`). Each of these are represented by a different object
+                type.
+              items:
+                type: object
+                oneOf:
+                  - $ref: "#/components/schemas/RunStepDetailsToolCallsCodeOutputLogsObject"
+                  - $ref: "#/components/schemas/RunStepDetailsToolCallsCodeOutputImageObject"
+                x-oaiExpandable: true
+      required:
+        - id
+        - type
+        - code_interpreter
+    RunStepDetailsToolCallsCodeOutputImageObject:
+      title: Code Interpreter image output
+      type: object
+      properties:
+        type:
+          description: Always `image`.
+          type: string
+          enum:
+            - image
+          x-stainless-const: true
+        image:
+          type: object
+          properties:
+            file_id:
+              description: The [file](/docs/api-reference/files) ID of the image.
+              type: string
+          required:
+            - file_id
+      required:
+        - type
+        - image
+    RunStepDetailsToolCallsCodeOutputLogsObject:
+      title: Code Interpreter log output
+      type: object
+      description: Text output from the Code Interpreter tool call as part of a run step.
+      properties:
+        type:
+          description: Always `logs`.
+          type: string
+          enum:
+            - logs
+          x-stainless-const: true
+        logs:
+          type: string
+          description: The text output from the Code Interpreter tool call.
+      required:
+        - type
+        - logs
+    RunStepDetailsToolCallsFileSearchObject:
+      title: File search tool call
+      type: object
+      properties:
+        id:
+          type: string
+          description: The ID of the tool call object.
+        type:
+          type: string
+          description:
+            The type of tool call. This is always going to be `file_search` for
+            this type of tool call.
+          enum:
+            - file_search
+          x-stainless-const: true
+        file_search:
+          type: object
+          description: For now, this is always going to be an empty object.
+          x-oaiTypeLabel: map
+          properties:
+            ranking_options:
+              $ref:
+                "#/components/schemas/RunStepDetailsToolCallsFileSearchRankingOptionsObje\
+                ct"
+            results:
+              type: array
+              description: The results of the file search.
+              items:
+                $ref: "#/components/schemas/RunStepDetailsToolCallsFileSearchResultObject"
+      required:
+        - id
+        - type
+        - file_search
+    RunStepDetailsToolCallsFileSearchRankingOptionsObject:
+      title: File search tool call ranking options
+      type: object
+      description: The ranking options for the file search.
+      properties:
+        ranker:
+          $ref: "#/components/schemas/FileSearchRanker"
+        score_threshold:
+          type: number
+          description:
+            The score threshold for the file search. All values must be a
+            floating point number between 0 and 1.
+          minimum: 0
+          maximum: 1
+      required:
+        - ranker
+        - score_threshold
+    RunStepDetailsToolCallsFileSearchResultObject:
+      title: File search tool call result
+      type: object
+      description: A result instance of the file search.
+      x-oaiTypeLabel: map
+      properties:
+        file_id:
+          type: string
+          description: The ID of the file that result was found in.
+        file_name:
+          type: string
+          description: The name of the file that result was found in.
+        score:
+          type: number
+          description:
+            The score of the result. All values must be a floating point number
+            between 0 and 1.
+          minimum: 0
+          maximum: 1
+        content:
+          type: array
+          description:
+            The content of the result that was found. The content is only
+            included if requested via the include query parameter.
+          items:
+            type: object
+            properties:
+              type:
+                type: string
+                description: The type of the content.
+                enum:
+                  - text
+                x-stainless-const: true
+              text:
+                type: string
+                description: The text content of the file.
+      required:
+        - file_id
+        - file_name
+        - score
+    RunStepDetailsToolCallsFunctionObject:
+      type: object
+      title: Function tool call
+      properties:
+        id:
+          type: string
+          description: The ID of the tool call object.
+        type:
+          type: string
+          description:
+            The type of tool call. This is always going to be `function` for
+            this type of tool call.
+          enum:
+            - function
+          x-stainless-const: true
+        function:
+          type: object
+          description: The definition of the function that was called.
+          properties:
+            name:
+              type: string
+              description: The name of the function.
+            arguments:
+              type: string
+              description: The arguments passed to the function.
+            output:
+              type: string
+              description:
+                The output of the function. This will be `null` if the outputs have
+                not been [submitted](/docs/api-reference/runs/submitToolOutputs)
+                yet.
+              nullable: true
+          required:
+            - name
+            - arguments
+            - output
+      required:
+        - id
+        - type
+        - function
+    RunStepDetailsToolCallsObject:
+      title: Tool calls
+      type: object
+      description: Details of the tool call.
+      properties:
+        type:
+          description: Always `tool_calls`.
+          type: string
+          enum:
+            - tool_calls
+          x-stainless-const: true
+        tool_calls:
+          type: array
+          description: >
+            An array of tool calls the run step was involved in. These can be
+            associated with one of three types of tools: `code_interpreter`,
+            `file_search`, or `function`.
+          items:
+            oneOf:
+              - $ref: "#/components/schemas/RunStepDetailsToolCallsCodeObject"
+              - $ref: "#/components/schemas/RunStepDetailsToolCallsFileSearchObject"
+              - $ref: "#/components/schemas/RunStepDetailsToolCallsFunctionObject"
+            x-oaiExpandable: true
+      required:
+        - type
+        - tool_calls
+    RunStepObject:
+      type: object
+      title: Run steps
+      description: |
+        Represents a step in execution of a run.
+      properties:
+        id:
+          description:
+            The identifier of the run step, which can be referenced in API
+            endpoints.
+          type: string
+        object:
+          description: The object type, which is always `thread.run.step`.
+          type: string
+          enum:
+            - thread.run.step
+          x-stainless-const: true
+        created_at:
+          description: The Unix timestamp (in seconds) for when the run step was created.
+          type: integer
+        assistant_id:
+          description: The ID of the [assistant](/docs/api-reference/assistants)
+            associated with the run step.
+          type: string
+        thread_id:
+          description: The ID of the [thread](/docs/api-reference/threads) that was run.
+          type: string
+        run_id:
+          description:
+            The ID of the [run](/docs/api-reference/runs) that this run step is
+            a part of.
+          type: string
+        type:
+          description:
+            The type of run step, which can be either `message_creation` or
+            `tool_calls`.
+          type: string
+          enum:
+            - message_creation
+            - tool_calls
+        status:
+          description:
+            The status of the run step, which can be either `in_progress`,
+            `cancelled`, `failed`, `completed`, or `expired`.
+          type: string
+          enum:
+            - in_progress
+            - cancelled
+            - failed
+            - completed
+            - expired
+        step_details:
+          type: object
+          description: The details of the run step.
+          oneOf:
+            - $ref: "#/components/schemas/RunStepDetailsMessageCreationObject"
+            - $ref: "#/components/schemas/RunStepDetailsToolCallsObject"
+          x-oaiExpandable: true
+        last_error:
+          type: object
+          description:
+            The last error associated with this run step. Will be `null` if
+            there are no errors.
+          nullable: true
+          properties:
+            code:
+              type: string
+              description: One of `server_error` or `rate_limit_exceeded`.
+              enum:
+                - server_error
+                - rate_limit_exceeded
+            message:
+              type: string
+              description: A human-readable description of the error.
+          required:
+            - code
+            - message
+        expired_at:
+          description:
+            The Unix timestamp (in seconds) for when the run step expired. A
+            step is considered expired if the parent run is expired.
+          type: integer
+          nullable: true
+        cancelled_at:
+          description: The Unix timestamp (in seconds) for when the run step was cancelled.
+          type: integer
+          nullable: true
+        failed_at:
+          description: The Unix timestamp (in seconds) for when the run step failed.
+          type: integer
+          nullable: true
+        completed_at:
+          description: The Unix timestamp (in seconds) for when the run step completed.
+          type: integer
+          nullable: true
+        metadata:
+          $ref: "#/components/schemas/Metadata"
+        usage:
+          $ref: "#/components/schemas/RunStepCompletionUsage"
+      required:
+        - id
+        - object
+        - created_at
+        - assistant_id
+        - thread_id
+        - run_id
+        - type
+        - status
+        - step_details
+        - last_error
+        - expired_at
+        - cancelled_at
+        - failed_at
+        - completed_at
+        - metadata
+        - usage
+      x-oaiMeta:
+        name: The run step object
+        beta: true
+        example: |
+          {
+            "id": "step_abc123",
+            "object": "thread.run.step",
+            "created_at": 1699063291,
+            "run_id": "run_abc123",
+            "assistant_id": "asst_abc123",
+            "thread_id": "thread_abc123",
+            "type": "message_creation",
+            "status": "completed",
+            "cancelled_at": null,
+            "completed_at": 1699063291,
+            "expired_at": null,
+            "failed_at": null,
+            "last_error": null,
+            "step_details": {
+              "type": "message_creation",
+              "message_creation": {
+                "message_id": "msg_abc123"
+              }
+            },
+            "usage": {
+              "prompt_tokens": 123,
+              "completion_tokens": 456,
+              "total_tokens": 579
+            }
+          }
+    RunStepStreamEvent:
+      oneOf:
+        - type: object
+          properties:
+            event:
+              type: string
+              enum:
+                - thread.run.step.created
+              x-stainless-const: true
+            data:
+              $ref: "#/components/schemas/RunStepObject"
+          required:
+            - event
+            - data
+          description:
+            Occurs when a [run step](/docs/api-reference/run-steps/step-object)
+            is created.
+          x-oaiMeta:
+            dataDescription: "`data` is a [run step](/docs/api-reference/run-steps/step-object)"
+        - type: object
+          properties:
+            event:
+              type: string
+              enum:
+                - thread.run.step.in_progress
+              x-stainless-const: true
+            data:
+              $ref: "#/components/schemas/RunStepObject"
+          required:
+            - event
+            - data
+          description:
+            Occurs when a [run step](/docs/api-reference/run-steps/step-object)
+            moves to an `in_progress` state.
+          x-oaiMeta:
+            dataDescription: "`data` is a [run step](/docs/api-reference/run-steps/step-object)"
+        - type: object
+          properties:
+            event:
+              type: string
+              enum:
+                - thread.run.step.delta
+              x-stainless-const: true
+            data:
+              $ref: "#/components/schemas/RunStepDeltaObject"
+          required:
+            - event
+            - data
+          description: Occurs when parts of a [run
+            step](/docs/api-reference/run-steps/step-object) are being streamed.
+          x-oaiMeta:
+            dataDescription: "`data` is a [run step
+              delta](/docs/api-reference/assistants-streaming/run-step-delta-ob\
+              ject)"
+        - type: object
+          properties:
+            event:
+              type: string
+              enum:
+                - thread.run.step.completed
+              x-stainless-const: true
+            data:
+              $ref: "#/components/schemas/RunStepObject"
+          required:
+            - event
+            - data
+          description:
+            Occurs when a [run step](/docs/api-reference/run-steps/step-object)
+            is completed.
+          x-oaiMeta:
+            dataDescription: "`data` is a [run step](/docs/api-reference/run-steps/step-object)"
+        - type: object
+          properties:
+            event:
+              type: string
+              enum:
+                - thread.run.step.failed
+              x-stainless-const: true
+            data:
+              $ref: "#/components/schemas/RunStepObject"
+          required:
+            - event
+            - data
+          description:
+            Occurs when a [run step](/docs/api-reference/run-steps/step-object)
+            fails.
+          x-oaiMeta:
+            dataDescription: "`data` is a [run step](/docs/api-reference/run-steps/step-object)"
+        - type: object
+          properties:
+            event:
+              type: string
+              enum:
+                - thread.run.step.cancelled
+              x-stainless-const: true
+            data:
+              $ref: "#/components/schemas/RunStepObject"
+          required:
+            - event
+            - data
+          description:
+            Occurs when a [run step](/docs/api-reference/run-steps/step-object)
+            is cancelled.
+          x-oaiMeta:
+            dataDescription: "`data` is a [run step](/docs/api-reference/run-steps/step-object)"
+        - type: object
+          properties:
+            event:
+              type: string
+              enum:
+                - thread.run.step.expired
+              x-stainless-const: true
+            data:
+              $ref: "#/components/schemas/RunStepObject"
+          required:
+            - event
+            - data
+          description:
+            Occurs when a [run step](/docs/api-reference/run-steps/step-object)
+            expires.
+          x-oaiMeta:
+            dataDescription: "`data` is a [run step](/docs/api-reference/run-steps/step-object)"
+    RunStreamEvent:
+      oneOf:
+        - type: object
+          properties:
+            event:
+              type: string
+              enum:
+                - thread.run.created
+              x-stainless-const: true
+            data:
+              $ref: "#/components/schemas/RunObject"
+          required:
+            - event
+            - data
+          description: Occurs when a new [run](/docs/api-reference/runs/object) is created.
+          x-oaiMeta:
+            dataDescription: "`data` is a [run](/docs/api-reference/runs/object)"
+        - type: object
+          properties:
+            event:
+              type: string
+              enum:
+                - thread.run.queued
+              x-stainless-const: true
+            data:
+              $ref: "#/components/schemas/RunObject"
+          required:
+            - event
+            - data
+          description:
+            Occurs when a [run](/docs/api-reference/runs/object) moves to a
+            `queued` status.
+          x-oaiMeta:
+            dataDescription: "`data` is a [run](/docs/api-reference/runs/object)"
+        - type: object
+          properties:
+            event:
+              type: string
+              enum:
+                - thread.run.in_progress
+              x-stainless-const: true
+            data:
+              $ref: "#/components/schemas/RunObject"
+          required:
+            - event
+            - data
+          description:
+            Occurs when a [run](/docs/api-reference/runs/object) moves to an
+            `in_progress` status.
+          x-oaiMeta:
+            dataDescription: "`data` is a [run](/docs/api-reference/runs/object)"
+        - type: object
+          properties:
+            event:
+              type: string
+              enum:
+                - thread.run.requires_action
+              x-stainless-const: true
+            data:
+              $ref: "#/components/schemas/RunObject"
+          required:
+            - event
+            - data
+          description:
+            Occurs when a [run](/docs/api-reference/runs/object) moves to a
+            `requires_action` status.
+          x-oaiMeta:
+            dataDescription: "`data` is a [run](/docs/api-reference/runs/object)"
+        - type: object
+          properties:
+            event:
+              type: string
+              enum:
+                - thread.run.completed
+              x-stainless-const: true
+            data:
+              $ref: "#/components/schemas/RunObject"
+          required:
+            - event
+            - data
+          description: Occurs when a [run](/docs/api-reference/runs/object) is completed.
+          x-oaiMeta:
+            dataDescription: "`data` is a [run](/docs/api-reference/runs/object)"
+        - type: object
+          properties:
+            event:
+              type: string
+              enum:
+                - thread.run.incomplete
+              x-stainless-const: true
+            data:
+              $ref: "#/components/schemas/RunObject"
+          required:
+            - event
+            - data
+          description:
+            Occurs when a [run](/docs/api-reference/runs/object) ends with
+            status `incomplete`.
+          x-oaiMeta:
+            dataDescription: "`data` is a [run](/docs/api-reference/runs/object)"
+        - type: object
+          properties:
+            event:
+              type: string
+              enum:
+                - thread.run.failed
+              x-stainless-const: true
+            data:
+              $ref: "#/components/schemas/RunObject"
+          required:
+            - event
+            - data
+          description: Occurs when a [run](/docs/api-reference/runs/object) fails.
+          x-oaiMeta:
+            dataDescription: "`data` is a [run](/docs/api-reference/runs/object)"
+        - type: object
+          properties:
+            event:
+              type: string
+              enum:
+                - thread.run.cancelling
+              x-stainless-const: true
+            data:
+              $ref: "#/components/schemas/RunObject"
+          required:
+            - event
+            - data
+          description:
+            Occurs when a [run](/docs/api-reference/runs/object) moves to a
+            `cancelling` status.
+          x-oaiMeta:
+            dataDescription: "`data` is a [run](/docs/api-reference/runs/object)"
+        - type: object
+          properties:
+            event:
+              type: string
+              enum:
+                - thread.run.cancelled
+              x-stainless-const: true
+            data:
+              $ref: "#/components/schemas/RunObject"
+          required:
+            - event
+            - data
+          description: Occurs when a [run](/docs/api-reference/runs/object) is cancelled.
+          x-oaiMeta:
+            dataDescription: "`data` is a [run](/docs/api-reference/runs/object)"
+        - type: object
+          properties:
+            event:
+              type: string
+              enum:
+                - thread.run.expired
+              x-stainless-const: true
+            data:
+              $ref: "#/components/schemas/RunObject"
+          required:
+            - event
+            - data
+          description: Occurs when a [run](/docs/api-reference/runs/object) expires.
+          x-oaiMeta:
+            dataDescription: "`data` is a [run](/docs/api-reference/runs/object)"
+    RunToolCallObject:
+      type: object
+      description: Tool call objects
+      properties:
+        id:
+          type: string
+          description:
+            The ID of the tool call. This ID must be referenced when you submit
+            the tool outputs in using the [Submit tool outputs to
+            run](/docs/api-reference/runs/submitToolOutputs) endpoint.
+        type:
+          type: string
+          description:
+            The type of tool call the output is required for. For now, this is
+            always `function`.
+          enum:
+            - function
+          x-stainless-const: true
+        function:
+          type: object
+          description: The function definition.
+          properties:
+            name:
+              type: string
+              description: The name of the function.
+            arguments:
+              type: string
+              description: The arguments that the model expects you to pass to the function.
+          required:
+            - name
+            - arguments
+      required:
+        - id
+        - type
+        - function
+    Screenshot:
+      type: object
+      title: Screenshot
+      description: |
+        A screenshot action.
+      properties:
+        type:
+          type: string
+          enum:
+            - screenshot
+          default: screenshot
+          description: |
+            Specifies the event type. For a screenshot action, this property is 
+            always set to `screenshot`.
+          x-stainless-const: true
+      required:
+        - type
+    Scroll:
+      type: object
+      title: Scroll
+      description: |
+        A scroll action.
+      properties:
+        type:
+          type: string
+          enum:
+            - scroll
+          default: scroll
+          description: |
+            Specifies the event type. For a scroll action, this property is 
+            always set to `scroll`.
+          x-stainless-const: true
+        x:
+          type: integer
+          description: |
+            The x-coordinate where the scroll occurred.
+        y:
+          type: integer
+          description: |
+            The y-coordinate where the scroll occurred.
+        scroll_x:
+          type: integer
+          description: |
+            The horizontal scroll distance.
+        scroll_y:
+          type: integer
+          description: |
+            The vertical scroll distance.
+      required:
+        - type
+        - x
+        - y
+        - scroll_x
+        - scroll_y
+    StaticChunkingStrategy:
+      type: object
+      additionalProperties: false
+      properties:
+        max_chunk_size_tokens:
+          type: integer
+          minimum: 100
+          maximum: 4096
+          description:
+            The maximum number of tokens in each chunk. The default value is
+            `800`. The minimum value is `100` and the maximum value is `4096`.
+        chunk_overlap_tokens:
+          type: integer
+          description: >
+            The number of tokens that overlap between chunks. The default value
+            is `400`.
+
+
+            Note that the overlap must not exceed half of
+            `max_chunk_size_tokens`.
+      required:
+        - max_chunk_size_tokens
+        - chunk_overlap_tokens
+    StaticChunkingStrategyRequestParam:
+      type: object
+      title: Static Chunking Strategy
+      description:
+        Customize your own chunking strategy by setting chunk size and
+        chunk overlap.
+      additionalProperties: false
+      properties:
+        type:
+          type: string
+          description: Always `static`.
+          enum:
+            - static
+          x-stainless-const: true
+        static:
+          $ref: "#/components/schemas/StaticChunkingStrategy"
+      required:
+        - type
+        - static
+    StaticChunkingStrategyResponseParam:
+      type: object
+      title: Static Chunking Strategy
+      additionalProperties: false
+      properties:
+        type:
+          type: string
+          description: Always `static`.
+          enum:
+            - static
+          x-stainless-const: true
+        static:
+          $ref: "#/components/schemas/StaticChunkingStrategy"
+      required:
+        - type
+        - static
+    StopConfiguration:
+      description: |
+        Up to 4 sequences where the API will stop generating further tokens. The
+        returned text will not contain the stop sequence.
+      default: null
+      nullable: true
+      oneOf:
+        - type: string
+          default: <|endoftext|>
+          example: "\n"
+          nullable: true
+        - type: array
+          minItems: 1
+          maxItems: 4
+          items:
+            type: string
+            example: '["\n"]'
+    SubmitToolOutputsRunRequest:
+      type: object
+      additionalProperties: false
+      properties:
+        tool_outputs:
+          description: A list of tools for which the outputs are being submitted.
+          type: array
+          items:
+            type: object
+            properties:
+              tool_call_id:
+                type: string
+                description:
+                  The ID of the tool call in the `required_action` object within the
+                  run object the output is being submitted for.
+              output:
+                type: string
+                description: The output of the tool call to be submitted to continue the run.
+        stream:
+          type: boolean
+          nullable: true
+          description: >
+            If `true`, returns a stream of events that happen during the Run as
+            server-sent events, terminating when the Run enters a terminal state
+            with a `data: [DONE]` message.
+      required:
+        - tool_outputs
+    TextResponseFormatConfiguration:
+      description: >
+        An object specifying the format that the model must output.
+
+
+        Configuring `{ "type": "json_schema" }` enables Structured Outputs, 
+
+        which ensures the model will match your supplied JSON schema. Learn more
+        in the 
+
+        [Structured Outputs guide](/docs/guides/structured-outputs).
+
+
+        The default format is `{ "type": "text" }` with no additional options.
+
+
+        **Not recommended for gpt-4o and newer models:**
+
+
+        Setting to `{ "type": "json_object" }` enables the older JSON mode,
+        which
+
+        ensures the message the model generates is valid JSON. Using
+        `json_schema`
+
+        is preferred for models that support it.
+      oneOf:
+        - $ref: "#/components/schemas/ResponseFormatText"
+        - $ref: "#/components/schemas/TextResponseFormatJsonSchema"
+        - $ref: "#/components/schemas/ResponseFormatJsonObject"
+      x-oaiExpandable: true
+    TextResponseFormatJsonSchema:
+      type: object
+      title: JSON schema
+      description: |
+        JSON Schema response format. Used to generate structured JSON responses.
+        Learn more about [Structured Outputs](/docs/guides/structured-outputs).
+      properties:
+        type:
+          type: string
+          description: The type of response format being defined. Always `json_schema`.
+          enum:
+            - json_schema
+          x-stainless-const: true
+        description:
+          type: string
+          description: >
+            A description of what the response format is for, used by the model
+            to
+
+            determine how to respond in the format.
+        name:
+          type: string
+          description: |
+            The name of the response format. Must be a-z, A-Z, 0-9, or contain
+            underscores and dashes, with a maximum length of 64.
+        schema:
+          $ref: "#/components/schemas/ResponseFormatJsonSchemaSchema"
+        strict:
+          type: boolean
+          nullable: true
+          default: false
+          description: >
+            Whether to enable strict schema adherence when generating the
+            output.
+
+            If set to true, the model will always follow the exact schema
+            defined
+
+            in the `schema` field. Only a subset of JSON Schema is supported
+            when
+
+            `strict` is `true`. To learn more, read the [Structured Outputs
+
+            guide](/docs/guides/structured-outputs).
+      required:
+        - type
+        - schema
+    ThreadObject:
+      type: object
+      title: Thread
+      description: Represents a thread that contains
+        [messages](/docs/api-reference/messages).
+      properties:
+        id:
+          description: The identifier, which can be referenced in API endpoints.
+          type: string
+        object:
+          description: The object type, which is always `thread`.
+          type: string
+          enum:
+            - thread
+          x-stainless-const: true
+        created_at:
+          description: The Unix timestamp (in seconds) for when the thread was created.
+          type: integer
+        tool_resources:
+          type: object
+          description: >
+            A set of resources that are made available to the assistant's tools
+            in this thread. The resources are specific to the type of tool. For
+            example, the `code_interpreter` tool requires a list of file IDs,
+            while the `file_search` tool requires a list of vector store IDs.
+          properties:
+            code_interpreter:
+              type: object
+              properties:
+                file_ids:
+                  type: array
+                  description: >
+                    A list of [file](/docs/api-reference/files) IDs made
+                    available to the `code_interpreter` tool. There can be a
+                    maximum of 20 files associated with the tool.
+                  default: []
+                  maxItems: 20
+                  items:
+                    type: string
+            file_search:
+              type: object
+              properties:
+                vector_store_ids:
+                  type: array
+                  description: >
+                    The [vector store](/docs/api-reference/vector-stores/object)
+                    attached to this thread. There can be a maximum of 1 vector
+                    store attached to the thread.
+                  maxItems: 1
+                  items:
+                    type: string
+          nullable: true
+        metadata:
+          $ref: "#/components/schemas/Metadata"
+      required:
+        - id
+        - object
+        - created_at
+        - tool_resources
+        - metadata
+      x-oaiMeta:
+        name: The thread object
+        beta: true
+        example: |
+          {
+            "id": "thread_abc123",
+            "object": "thread",
+            "created_at": 1698107661,
+            "metadata": {}
+          }
+    ThreadStreamEvent:
+      oneOf:
+        - type: object
+          properties:
+            enabled:
+              type: boolean
+              description: Whether to enable input audio transcription.
+            event:
+              type: string
+              enum:
+                - thread.created
+              x-stainless-const: true
+            data:
+              $ref: "#/components/schemas/ThreadObject"
+          required:
+            - event
+            - data
+          description:
+            Occurs when a new [thread](/docs/api-reference/threads/object) is
+            created.
+          x-oaiMeta:
+            dataDescription: "`data` is a [thread](/docs/api-reference/threads/object)"
+    Tool:
+      oneOf:
+        - $ref: "#/components/schemas/FileSearchTool"
+        - $ref: "#/components/schemas/FunctionTool"
+        - $ref: "#/components/schemas/ComputerTool"
+        - $ref: "#/components/schemas/WebSearchTool"
+      x-oaiExpandable: true
+    ToolChoiceFunction:
+      type: object
+      title: Function tool
+      description: |
+        Use this option to force the model to call a specific function.
+      properties:
+        type:
+          type: string
+          enum:
+            - function
+          description: For function calling, the type is always `function`.
+          x-stainless-const: true
+        name:
+          type: string
+          description: The name of the function to call.
+      required:
+        - type
+        - name
+    ToolChoiceOptions:
+      type: string
+      title: Tool choice mode
+      description: >
+        Controls which (if any) tool is called by the model.
+
+
+        `none` means the model will not call any tool and instead generates a
+        message.
+
+
+        `auto` means the model can pick between generating a message or calling
+        one or
+
+        more tools.
+
+
+        `required` means the model must call one or more tools.
+      enum:
+        - none
+        - auto
+        - required
+    ToolChoiceTypes:
+      type: object
+      title: Hosted tool
+      description: >
+        Indicates that the model should use a built-in tool to generate a
+        response.
+
+        [Learn more about built-in tools](/docs/guides/tools).
+      properties:
+        type:
+          type: string
+          description: |
+            The type of hosted tool the model should to use. Learn more about
+            [built-in tools](/docs/guides/tools).
+
+            Allowed values are:
+            - `file_search`
+            - `web_search_preview`
+            - `computer_use_preview`
+          enum:
+            - file_search
+            - web_search_preview
+            - computer_use_preview
+            - web_search_preview_2025_03_11
+      required:
+        - type
+    TranscriptTextDeltaEvent:
+      type: object
+      description:
+        Emitted when there is an additional text delta. This is also the
+        first event emitted when the transcription starts. Only emitted when you
+        [create a transcription](/docs/api-reference/audio/create-transcription)
+        with the `Stream` parameter set to `true`.
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the event. Always `transcript.text.delta`.
+          enum:
+            - transcript.text.delta
+          x-stainless-const: true
+        delta:
+          type: string
+          description: |
+            The text delta that was additionally transcribed.
+        logprobs:
+          type: array
+          description: >
+            The log probabilities of the delta. Only included if you [create a
+            transcription](/docs/api-reference/audio/create-transcription) with
+            the `include[]` parameter set to `logprobs`.
+          items:
+            $ref: "#/components/schemas/LogProbProperties"
+      required:
+        - type
+        - delta
+      x-oaiMeta:
+        name: Stream Event (transcript.text.delta)
+        group: transcript
+        example: |
+          {
+            "type": "transcript.text.delta",
+            "delta": " wonderful"
+          }
+    TranscriptTextDoneEvent:
+      type: object
+      description:
+        Emitted when the transcription is complete. Contains the complete
+        transcription text. Only emitted when you [create a
+        transcription](/docs/api-reference/audio/create-transcription) with the
+        `Stream` parameter set to `true`.
+      properties:
+        type:
+          type: string
+          description: |
+            The type of the event. Always `transcript.text.done`.
+          enum:
+            - transcript.text.done
+          x-stainless-const: true
+        text:
+          type: string
+          description: |
+            The text that was transcribed.
+        logprobs:
+          type: array
+          description: >
+            The log probabilities of the individual tokens in the transcription.
+            Only included if you [create a
+            transcription](/docs/api-reference/audio/create-transcription) with
+            the `include[]` parameter set to `logprobs`.
+          items:
+            $ref: "#/components/schemas/LogProbProperties"
+      required:
+        - type
+        - text
+      x-oaiMeta:
+        name: Stream Event (transcript.text.done)
+        group: transcript
+        example: >
+          {
+            "type": "transcript.text.done",
+            "text": "I see skies of blue and clouds of white, the bright blessed days, the dark sacred nights, and I think to myself, what a wonderful world."
+          }
+    TranscriptionInclude:
+      type: string
+      enum:
+        - logprobs
+      default: []
+    TranscriptionSegment:
+      type: object
+      properties:
+        id:
+          type: integer
+          description: Unique identifier of the segment.
+        seek:
+          type: integer
+          description: Seek offset of the segment.
+        start:
+          type: number
+          format: float
+          description: Start time of the segment in seconds.
+        end:
+          type: number
+          format: float
+          description: End time of the segment in seconds.
+        text:
+          type: string
+          description: Text content of the segment.
+        tokens:
+          type: array
+          items:
+            type: integer
+          description: Array of token IDs for the text content.
+        temperature:
+          type: number
+          format: float
+          description: Temperature parameter used for generating the segment.
+        avg_logprob:
+          type: number
+          format: float
+          description:
+            Average logprob of the segment. If the value is lower than -1,
+            consider the logprobs failed.
+        compression_ratio:
+          type: number
+          format: float
+          description:
+            Compression ratio of the segment. If the value is greater than 2.4,
+            consider the compression failed.
+        no_speech_prob:
+          type: number
+          format: float
+          description:
+            Probability of no speech in the segment. If the value is higher
+            than 1.0 and the `avg_logprob` is below -1, consider this segment
+            silent.
+      required:
+        - id
+        - seek
+        - start
+        - end
+        - text
+        - tokens
+        - temperature
+        - avg_logprob
+        - compression_ratio
+        - no_speech_prob
+    TranscriptionWord:
+      type: object
+      properties:
+        word:
+          type: string
+          description: The text content of the word.
+        start:
+          type: number
+          format: float
+          description: Start time of the word in seconds.
+        end:
+          type: number
+          format: float
+          description: End time of the word in seconds.
+      required:
+        - word
+        - start
+        - end
+    TruncationObject:
+      type: object
+      title: Thread Truncation Controls
+      description:
+        Controls for how a thread will be truncated prior to the run. Use
+        this to control the intial context window of the run.
+      properties:
+        type:
+          type: string
+          description:
+            The truncation strategy to use for the thread. The default is
+            `auto`. If set to `last_messages`, the thread will be truncated to
+            the n most recent messages in the thread. When set to `auto`,
+            messages in the middle of the thread will be dropped to fit the
+            context length of the model, `max_prompt_tokens`.
+          enum:
+            - auto
+            - last_messages
+        last_messages:
+          type: integer
+          description: The number of most recent messages from the thread when
+            constructing the context for the run.
+          minimum: 1
+          nullable: true
+      required:
+        - type
+    Type:
+      type: object
+      title: Type
+      description: |
+        An action to type in text.
+      properties:
+        type:
+          type: string
+          enum:
+            - type
+          default: type
+          description: |
+            Specifies the event type. For a type action, this property is 
+            always set to `type`.
+          x-stainless-const: true
+        text:
+          type: string
+          description: |
+            The text to type.
+      required:
+        - type
+        - text
+    UpdateVectorStoreFileAttributesRequest:
+      type: object
+      additionalProperties: false
+      properties:
+        attributes:
+          $ref: "#/components/schemas/VectorStoreFileAttributes"
+      required:
+        - attributes
+      x-oaiMeta:
+        name: Update vector store file attributes request
+    UpdateVectorStoreRequest:
+      type: object
+      additionalProperties: false
+      properties:
+        name:
+          description: The name of the vector store.
+          type: string
+          nullable: true
+        expires_after:
+          allOf:
+            - $ref: "#/components/schemas/VectorStoreExpirationAfter"
+            - nullable: true
+        metadata:
+          $ref: "#/components/schemas/Metadata"
+    Upload:
+      type: object
+      title: Upload
+      description: |
+        The Upload object can accept byte chunks in the form of Parts.
+      properties:
+        id:
+          type: string
+          description:
+            The Upload unique identifier, which can be referenced in API
+            endpoints.
+        created_at:
+          type: integer
+          description: The Unix timestamp (in seconds) for when the Upload was created.
+        filename:
+          type: string
+          description: The name of the file to be uploaded.
+        bytes:
+          type: integer
+          description: The intended number of bytes to be uploaded.
+        purpose:
+          type: string
+          description: The intended purpose of the file. [Please refer
+            here](/docs/api-reference/files/object#files/object-purpose) for
+            acceptable values.
+        status:
+          type: string
+          description: The status of the Upload.
+          enum:
+            - pending
+            - completed
+            - cancelled
+            - expired
+        expires_at:
+          type: integer
+          description: The Unix timestamp (in seconds) for when the Upload will expire.
+        object:
+          type: string
+          description: The object type, which is always "upload".
+          enum:
+            - upload
+          x-stainless-const: true
+        file:
+          allOf:
+            - $ref: "#/components/schemas/OpenAIFile"
+            - nullable: true
+              description: The ready File object after the Upload is completed.
+      required:
+        - bytes
+        - created_at
+        - expires_at
+        - filename
+        - id
+        - purpose
+        - status
+      x-oaiMeta:
+        name: The upload object
+        example: |
+          {
+            "id": "upload_abc123",
+            "object": "upload",
+            "bytes": 2147483648,
+            "created_at": 1719184911,
+            "filename": "training_examples.jsonl",
+            "purpose": "fine-tune",
+            "status": "completed",
+            "expires_at": 1719127296,
+            "file": {
+              "id": "file-xyz321",
+              "object": "file",
+              "bytes": 2147483648,
+              "created_at": 1719186911,
+              "filename": "training_examples.jsonl",
+              "purpose": "fine-tune",
+            }
+          }
+    UploadPart:
+      type: object
+      title: UploadPart
+      description: >
+        The upload Part represents a chunk of bytes we can add to an Upload
+        object.
+      properties:
+        id:
+          type: string
+          description:
+            The upload Part unique identifier, which can be referenced in API
+            endpoints.
+        created_at:
+          type: integer
+          description: The Unix timestamp (in seconds) for when the Part was created.
+        upload_id:
+          type: string
+          description: The ID of the Upload object that this Part was added to.
+        object:
+          type: string
+          description: The object type, which is always `upload.part`.
+          enum:
+            - upload.part
+          x-stainless-const: true
+      required:
+        - created_at
+        - id
+        - object
+        - upload_id
+      x-oaiMeta:
+        name: The upload part object
+        example: |
+          {
+              "id": "part_def456",
+              "object": "upload.part",
+              "created_at": 1719186911,
+              "upload_id": "upload_abc123"
+          }
+    UrlCitation:
+      type: object
+      title: URL citation
+      description: |
+        A citation for a web resource used to generate a model response.
+      properties:
+        url:
+          type: string
+          description: |
+            The URL of the web resource.
+        title:
+          type: string
+          description: |
+            The title of the web resource.
+        type:
+          type: string
+          description: |
+            The type of the URL citation. Always `url_citation`.
+          enum:
+            - url_citation
+          x-stainless-const: true
+        start_index:
+          type: integer
+          description: |
+            The index of the first character of the URL citation in the message.
+        end_index:
+          type: integer
+          description: |
+            The index of the last character of the URL citation in the message.
+      required:
+        - url
+        - title
+        - type
+        - start_index
+        - end_index
+    UsageAudioSpeechesResult:
+      type: object
+      description: The aggregated audio speeches usage details of the specific time bucket.
+      properties:
+        object:
+          type: string
+          enum:
+            - organization.usage.audio_speeches.result
+          x-stainless-const: true
+        characters:
+          type: integer
+          description: The number of characters processed.
+        num_model_requests:
+          type: integer
+          description: The count of requests made to the model.
+        project_id:
+          type: string
+          nullable: true
+          description:
+            When `group_by=project_id`, this field provides the project ID of
+            the grouped usage result.
+        user_id:
+          type: string
+          nullable: true
+          description:
+            When `group_by=user_id`, this field provides the user ID of the
+            grouped usage result.
+        api_key_id:
+          type: string
+          nullable: true
+          description:
+            When `group_by=api_key_id`, this field provides the API key ID of
+            the grouped usage result.
+        model:
+          type: string
+          nullable: true
+          description:
+            When `group_by=model`, this field provides the model name of the
+            grouped usage result.
+      required:
+        - object
+        - characters
+        - num_model_requests
+      x-oaiMeta:
+        name: Audio speeches usage object
+        example: |
+          {
+              "object": "organization.usage.audio_speeches.result",
+              "characters": 45,
+              "num_model_requests": 1,
+              "project_id": "proj_abc",
+              "user_id": "user-abc",
+              "api_key_id": "key_abc",
+              "model": "tts-1"
+          }
+    UsageAudioTranscriptionsResult:
+      type: object
+      description:
+        The aggregated audio transcriptions usage details of the specific
+        time bucket.
+      properties:
+        object:
+          type: string
+          enum:
+            - organization.usage.audio_transcriptions.result
+          x-stainless-const: true
+        seconds:
+          type: integer
+          description: The number of seconds processed.
+        num_model_requests:
+          type: integer
+          description: The count of requests made to the model.
+        project_id:
+          type: string
+          nullable: true
+          description:
+            When `group_by=project_id`, this field provides the project ID of
+            the grouped usage result.
+        user_id:
+          type: string
+          nullable: true
+          description:
+            When `group_by=user_id`, this field provides the user ID of the
+            grouped usage result.
+        api_key_id:
+          type: string
+          nullable: true
+          description:
+            When `group_by=api_key_id`, this field provides the API key ID of
+            the grouped usage result.
+        model:
+          type: string
+          nullable: true
+          description:
+            When `group_by=model`, this field provides the model name of the
+            grouped usage result.
+      required:
+        - object
+        - seconds
+        - num_model_requests
+      x-oaiMeta:
+        name: Audio transcriptions usage object
+        example: |
+          {
+              "object": "organization.usage.audio_transcriptions.result",
+              "seconds": 10,
+              "num_model_requests": 1,
+              "project_id": "proj_abc",
+              "user_id": "user-abc",
+              "api_key_id": "key_abc",
+              "model": "tts-1"
+          }
+    UsageCodeInterpreterSessionsResult:
+      type: object
+      description: The aggregated code interpreter sessions usage details of the
+        specific time bucket.
+      properties:
+        object:
+          type: string
+          enum:
+            - organization.usage.code_interpreter_sessions.result
+          x-stainless-const: true
+        num_sessions:
+          type: integer
+          description: The number of code interpreter sessions.
+        project_id:
+          type: string
+          nullable: true
+          description:
+            When `group_by=project_id`, this field provides the project ID of
+            the grouped usage result.
+      required:
+        - object
+        - sessions
+      x-oaiMeta:
+        name: Code interpreter sessions usage object
+        example: |
+          {
+              "object": "organization.usage.code_interpreter_sessions.result",
+              "num_sessions": 1,
+              "project_id": "proj_abc"
+          }
+    UsageCompletionsResult:
+      type: object
+      description: The aggregated completions usage details of the specific time bucket.
+      properties:
+        object:
+          type: string
+          enum:
+            - organization.usage.completions.result
+          x-stainless-const: true
+        input_tokens:
+          type: integer
+          description:
+            The aggregated number of text input tokens used, including cached
+            tokens. For customers subscribe to scale tier, this includes scale
+            tier tokens.
+        input_cached_tokens:
+          type: integer
+          description:
+            The aggregated number of text input tokens that has been cached
+            from previous requests. For customers subscribe to scale tier, this
+            includes scale tier tokens.
+        output_tokens:
+          type: integer
+          description:
+            The aggregated number of text output tokens used. For customers
+            subscribe to scale tier, this includes scale tier tokens.
+        input_audio_tokens:
+          type: integer
+          description:
+            The aggregated number of audio input tokens used, including cached
+            tokens.
+        output_audio_tokens:
+          type: integer
+          description: The aggregated number of audio output tokens used.
+        num_model_requests:
+          type: integer
+          description: The count of requests made to the model.
+        project_id:
+          type: string
+          nullable: true
+          description:
+            When `group_by=project_id`, this field provides the project ID of
+            the grouped usage result.
+        user_id:
+          type: string
+          nullable: true
+          description:
+            When `group_by=user_id`, this field provides the user ID of the
+            grouped usage result.
+        api_key_id:
+          type: string
+          nullable: true
+          description:
+            When `group_by=api_key_id`, this field provides the API key ID of
+            the grouped usage result.
+        model:
+          type: string
+          nullable: true
+          description:
+            When `group_by=model`, this field provides the model name of the
+            grouped usage result.
+        batch:
+          type: boolean
+          nullable: true
+          description:
+            When `group_by=batch`, this field tells whether the grouped usage
+            result is batch or not.
+      required:
+        - object
+        - input_tokens
+        - output_tokens
+        - num_model_requests
+      x-oaiMeta:
+        name: Completions usage object
+        example: |
+          {
+              "object": "organization.usage.completions.result",
+              "input_tokens": 5000,
+              "output_tokens": 1000,
+              "input_cached_tokens": 4000,
+              "input_audio_tokens": 300,
+              "output_audio_tokens": 200,
+              "num_model_requests": 5,
+              "project_id": "proj_abc",
+              "user_id": "user-abc",
+              "api_key_id": "key_abc",
+              "model": "gpt-4o-mini-2024-07-18",
+              "batch": false
+          }
+    UsageEmbeddingsResult:
+      type: object
+      description: The aggregated embeddings usage details of the specific time bucket.
+      properties:
+        object:
+          type: string
+          enum:
+            - organization.usage.embeddings.result
+          x-stainless-const: true
+        input_tokens:
+          type: integer
+          description: The aggregated number of input tokens used.
+        num_model_requests:
+          type: integer
+          description: The count of requests made to the model.
+        project_id:
+          type: string
+          nullable: true
+          description:
+            When `group_by=project_id`, this field provides the project ID of
+            the grouped usage result.
+        user_id:
+          type: string
+          nullable: true
+          description:
+            When `group_by=user_id`, this field provides the user ID of the
+            grouped usage result.
+        api_key_id:
+          type: string
+          nullable: true
+          description:
+            When `group_by=api_key_id`, this field provides the API key ID of
+            the grouped usage result.
+        model:
+          type: string
+          nullable: true
+          description:
+            When `group_by=model`, this field provides the model name of the
+            grouped usage result.
+      required:
+        - object
+        - input_tokens
+        - num_model_requests
+      x-oaiMeta:
+        name: Embeddings usage object
+        example: |
+          {
+              "object": "organization.usage.embeddings.result",
+              "input_tokens": 20,
+              "num_model_requests": 2,
+              "project_id": "proj_abc",
+              "user_id": "user-abc",
+              "api_key_id": "key_abc",
+              "model": "text-embedding-ada-002-v2"
+          }
+    UsageImagesResult:
+      type: object
+      description: The aggregated images usage details of the specific time bucket.
+      properties:
+        object:
+          type: string
+          enum:
+            - organization.usage.images.result
+          x-stainless-const: true
+        images:
+          type: integer
+          description: The number of images processed.
+        num_model_requests:
+          type: integer
+          description: The count of requests made to the model.
+        source:
+          type: string
+          nullable: true
+          description:
+            When `group_by=source`, this field provides the source of the
+            grouped usage result, possible values are `image.generation`,
+            `image.edit`, `image.variation`.
+        size:
+          type: string
+          nullable: true
+          description:
+            When `group_by=size`, this field provides the image size of the
+            grouped usage result.
+        project_id:
+          type: string
+          nullable: true
+          description:
+            When `group_by=project_id`, this field provides the project ID of
+            the grouped usage result.
+        user_id:
+          type: string
+          nullable: true
+          description:
+            When `group_by=user_id`, this field provides the user ID of the
+            grouped usage result.
+        api_key_id:
+          type: string
+          nullable: true
+          description:
+            When `group_by=api_key_id`, this field provides the API key ID of
+            the grouped usage result.
+        model:
+          type: string
+          nullable: true
+          description:
+            When `group_by=model`, this field provides the model name of the
+            grouped usage result.
+      required:
+        - object
+        - images
+        - num_model_requests
+      x-oaiMeta:
+        name: Images usage object
+        example: |
+          {
+              "object": "organization.usage.images.result",
+              "images": 2,
+              "num_model_requests": 2,
+              "size": "1024x1024",
+              "source": "image.generation",
+              "project_id": "proj_abc",
+              "user_id": "user-abc",
+              "api_key_id": "key_abc",
+              "model": "dall-e-3"
+          }
+    UsageModerationsResult:
+      type: object
+      description: The aggregated moderations usage details of the specific time bucket.
+      properties:
+        object:
+          type: string
+          enum:
+            - organization.usage.moderations.result
+          x-stainless-const: true
+        input_tokens:
+          type: integer
+          description: The aggregated number of input tokens used.
+        num_model_requests:
+          type: integer
+          description: The count of requests made to the model.
+        project_id:
+          type: string
+          nullable: true
+          description:
+            When `group_by=project_id`, this field provides the project ID of
+            the grouped usage result.
+        user_id:
+          type: string
+          nullable: true
+          description:
+            When `group_by=user_id`, this field provides the user ID of the
+            grouped usage result.
+        api_key_id:
+          type: string
+          nullable: true
+          description:
+            When `group_by=api_key_id`, this field provides the API key ID of
+            the grouped usage result.
+        model:
+          type: string
+          nullable: true
+          description:
+            When `group_by=model`, this field provides the model name of the
+            grouped usage result.
+      required:
+        - object
+        - input_tokens
+        - num_model_requests
+      x-oaiMeta:
+        name: Moderations usage object
+        example: |
+          {
+              "object": "organization.usage.moderations.result",
+              "input_tokens": 20,
+              "num_model_requests": 2,
+              "project_id": "proj_abc",
+              "user_id": "user-abc",
+              "api_key_id": "key_abc",
+              "model": "text-moderation"
+          }
+    UsageResponse:
+      type: object
+      properties:
+        object:
+          type: string
+          enum:
+            - page
+          x-stainless-const: true
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/UsageTimeBucket"
+        has_more:
+          type: boolean
+        next_page:
+          type: string
+      required:
+        - object
+        - data
+        - has_more
+        - next_page
+    UsageTimeBucket:
+      type: object
+      properties:
+        object:
+          type: string
+          enum:
+            - bucket
+          x-stainless-const: true
+        start_time:
+          type: integer
+        end_time:
+          type: integer
+        result:
+          type: array
+          items:
+            oneOf:
+              - $ref: "#/components/schemas/UsageCompletionsResult"
+              - $ref: "#/components/schemas/UsageEmbeddingsResult"
+              - $ref: "#/components/schemas/UsageModerationsResult"
+              - $ref: "#/components/schemas/UsageImagesResult"
+              - $ref: "#/components/schemas/UsageAudioSpeechesResult"
+              - $ref: "#/components/schemas/UsageAudioTranscriptionsResult"
+              - $ref: "#/components/schemas/UsageVectorStoresResult"
+              - $ref: "#/components/schemas/UsageCodeInterpreterSessionsResult"
+              - $ref: "#/components/schemas/CostsResult"
+      required:
+        - object
+        - start_time
+        - end_time
+        - result
+    UsageVectorStoresResult:
+      type: object
+      description: The aggregated vector stores usage details of the specific time bucket.
+      properties:
+        object:
+          type: string
+          enum:
+            - organization.usage.vector_stores.result
+          x-stainless-const: true
+        usage_bytes:
+          type: integer
+          description: The vector stores usage in bytes.
+        project_id:
+          type: string
+          nullable: true
+          description:
+            When `group_by=project_id`, this field provides the project ID of
+            the grouped usage result.
+      required:
+        - object
+        - usage_bytes
+      x-oaiMeta:
+        name: Vector stores usage object
+        example: |
+          {
+              "object": "organization.usage.vector_stores.result",
+              "usage_bytes": 1024,
+              "project_id": "proj_abc"
+          }
+    User:
+      type: object
+      description: Represents an individual `user` within an organization.
+      properties:
+        object:
+          type: string
+          enum:
+            - organization.user
+          description: The object type, which is always `organization.user`
+          x-stainless-const: true
+        id:
+          type: string
+          description: The identifier, which can be referenced in API endpoints
+        name:
+          type: string
+          description: The name of the user
+        email:
+          type: string
+          description: The email address of the user
+        role:
+          type: string
+          enum:
+            - owner
+            - reader
+          description: "`owner` or `reader`"
+        added_at:
+          type: integer
+          description: The Unix timestamp (in seconds) of when the user was added.
+      required:
+        - object
+        - id
+        - name
+        - email
+        - role
+        - added_at
+      x-oaiMeta:
+        name: The user object
+        example: |
+          {
+              "object": "organization.user",
+              "id": "user_abc",
+              "name": "First Last",
+              "email": "user@example.com",
+              "role": "owner",
+              "added_at": 1711471533
+          }
+    UserDeleteResponse:
+      type: object
+      properties:
+        object:
+          type: string
+          enum:
+            - organization.user.deleted
+          x-stainless-const: true
+        id:
+          type: string
+        deleted:
+          type: boolean
+      required:
+        - object
+        - id
+        - deleted
+    UserListResponse:
+      type: object
+      properties:
+        object:
+          type: string
+          enum:
+            - list
+          x-stainless-const: true
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/User"
+        first_id:
+          type: string
+        last_id:
+          type: string
+        has_more:
+          type: boolean
+      required:
+        - object
+        - data
+        - first_id
+        - last_id
+        - has_more
+    UserRoleUpdateRequest:
+      type: object
+      properties:
+        role:
+          type: string
+          enum:
+            - owner
+            - reader
+          description: "`owner` or `reader`"
+      required:
+        - role
+    VectorStoreExpirationAfter:
+      type: object
+      title: Vector store expiration policy
+      description: The expiration policy for a vector store.
+      properties:
+        anchor:
+          description:
+            "Anchor timestamp after which the expiration policy applies.
+            Supported anchors: `last_active_at`."
+          type: string
+          enum:
+            - last_active_at
+          x-stainless-const: true
+        days:
+          description:
+            The number of days after the anchor time that the vector store will
+            expire.
+          type: integer
+          minimum: 1
+          maximum: 365
+      required:
+        - anchor
+        - days
+    VectorStoreFileAttributes:
+      type: object
+      description: >
+        Set of 16 key-value pairs that can be attached to an object. This can
+        be 
+
+        useful for storing additional information about the object in a
+        structured 
+
+        format, and querying for objects via API or the dashboard. Keys are
+        strings 
+
+        with a maximum length of 64 characters. Values are strings with a
+        maximum 
+
+        length of 512 characters, booleans, or numbers.
+      maxProperties: 16
+      additionalProperties:
+        oneOf:
+          - type: string
+            maxLength: 512
+          - type: number
+          - type: boolean
+      x-oaiTypeLabel: map
+      nullable: true
+    VectorStoreFileBatchObject:
+      type: object
+      title: Vector store file batch
+      description: A batch of files attached to a vector store.
+      properties:
+        id:
+          description: The identifier, which can be referenced in API endpoints.
+          type: string
+        object:
+          description: The object type, which is always `vector_store.file_batch`.
+          type: string
+          enum:
+            - vector_store.files_batch
+          x-stainless-const: true
+        created_at:
+          description:
+            The Unix timestamp (in seconds) for when the vector store files
+            batch was created.
+          type: integer
+        vector_store_id:
+          description: The ID of the [vector
+            store](/docs/api-reference/vector-stores/object) that the
+            [File](/docs/api-reference/files) is attached to.
+          type: string
+        status:
+          description:
+            The status of the vector store files batch, which can be either
+            `in_progress`, `completed`, `cancelled` or `failed`.
+          type: string
+          enum:
+            - in_progress
+            - completed
+            - cancelled
+            - failed
+        file_counts:
+          type: object
+          properties:
+            in_progress:
+              description: The number of files that are currently being processed.
+              type: integer
+            completed:
+              description: The number of files that have been processed.
+              type: integer
+            failed:
+              description: The number of files that have failed to process.
+              type: integer
+            cancelled:
+              description: The number of files that where cancelled.
+              type: integer
+            total:
+              description: The total number of files.
+              type: integer
+          required:
+            - in_progress
+            - completed
+            - cancelled
+            - failed
+            - total
+      required:
+        - id
+        - object
+        - created_at
+        - vector_store_id
+        - status
+        - file_counts
+      x-oaiMeta:
+        name: The vector store files batch object
+        beta: true
+        example: |
+          {
+            "id": "vsfb_123",
+            "object": "vector_store.files_batch",
+            "created_at": 1698107661,
+            "vector_store_id": "vs_abc123",
+            "status": "completed",
+            "file_counts": {
+              "in_progress": 0,
+              "completed": 100,
+              "failed": 0,
+              "cancelled": 0,
+              "total": 100
+            }
+          }
+    VectorStoreFileContentResponse:
+      type: object
+      description: Represents the parsed content of a vector store file.
+      properties:
+        object:
+          type: string
+          enum:
+            - vector_store.file_content.page
+          description: The object type, which is always `vector_store.file_content.page`
+          x-stainless-const: true
+        data:
+          type: array
+          description: Parsed content of the file.
+          items:
+            type: object
+            properties:
+              type:
+                type: string
+                description: The content type (currently only `"text"`)
+              text:
+                type: string
+                description: The text content
+        has_more:
+          type: boolean
+          description: Indicates if there are more content pages to fetch.
+        next_page:
+          type: string
+          description: The token for the next page, if any.
+          nullable: true
+      required:
+        - object
+        - data
+        - has_more
+        - next_page
+    VectorStoreFileObject:
+      type: object
+      title: Vector store files
+      description: A list of files attached to a vector store.
+      properties:
+        id:
+          description: The identifier, which can be referenced in API endpoints.
+          type: string
+        object:
+          description: The object type, which is always `vector_store.file`.
+          type: string
+          enum:
+            - vector_store.file
+          x-stainless-const: true
+        usage_bytes:
+          description:
+            The total vector store usage in bytes. Note that this may be
+            different from the original file size.
+          type: integer
+        created_at:
+          description:
+            The Unix timestamp (in seconds) for when the vector store file was
+            created.
+          type: integer
+        vector_store_id:
+          description: The ID of the [vector
+            store](/docs/api-reference/vector-stores/object) that the
+            [File](/docs/api-reference/files) is attached to.
+          type: string
+        status:
+          description: The status of the vector store file, which can be either
+            `in_progress`, `completed`, `cancelled`, or `failed`. The status
+            `completed` indicates that the vector store file is ready for use.
+          type: string
+          enum:
+            - in_progress
+            - completed
+            - cancelled
+            - failed
+        last_error:
+          type: object
+          description:
+            The last error associated with this vector store file. Will be
+            `null` if there are no errors.
+          nullable: true
+          properties:
+            code:
+              type: string
+              description: One of `server_error` or `rate_limit_exceeded`.
+              enum:
+                - server_error
+                - unsupported_file
+                - invalid_file
+            message:
+              type: string
+              description: A human-readable description of the error.
+          required:
+            - code
+            - message
+        chunking_strategy:
+          type: object
+          description: The strategy used to chunk the file.
+          oneOf:
+            - $ref: "#/components/schemas/StaticChunkingStrategyResponseParam"
+            - $ref: "#/components/schemas/OtherChunkingStrategyResponseParam"
+          x-oaiExpandable: true
+        attributes:
+          $ref: "#/components/schemas/VectorStoreFileAttributes"
+      required:
+        - id
+        - object
+        - usage_bytes
+        - created_at
+        - vector_store_id
+        - status
+        - last_error
+      x-oaiMeta:
+        name: The vector store file object
+        beta: true
+        example: |
+          {
+            "id": "file-abc123",
+            "object": "vector_store.file",
+            "usage_bytes": 1234,
+            "created_at": 1698107661,
+            "vector_store_id": "vs_abc123",
+            "status": "completed",
+            "last_error": null,
+            "chunking_strategy": {
+              "type": "static",
+              "static": {
+                "max_chunk_size_tokens": 800,
+                "chunk_overlap_tokens": 400
+              }
+            }
+          }
+    VectorStoreObject:
+      type: object
+      title: Vector store
+      description:
+        A vector store is a collection of processed files can be used by
+        the `file_search` tool.
+      properties:
+        id:
+          description: The identifier, which can be referenced in API endpoints.
+          type: string
+        object:
+          description: The object type, which is always `vector_store`.
+          type: string
+          enum:
+            - vector_store
+          x-stainless-const: true
+        created_at:
+          description:
+            The Unix timestamp (in seconds) for when the vector store was
+            created.
+          type: integer
+        name:
+          description: The name of the vector store.
+          type: string
+        usage_bytes:
+          description: The total number of bytes used by the files in the vector store.
+          type: integer
+        file_counts:
+          type: object
+          properties:
+            in_progress:
+              description: The number of files that are currently being processed.
+              type: integer
+            completed:
+              description: The number of files that have been successfully processed.
+              type: integer
+            failed:
+              description: The number of files that have failed to process.
+              type: integer
+            cancelled:
+              description: The number of files that were cancelled.
+              type: integer
+            total:
+              description: The total number of files.
+              type: integer
+          required:
+            - in_progress
+            - completed
+            - failed
+            - cancelled
+            - total
+        status:
+          description:
+            The status of the vector store, which can be either `expired`,
+            `in_progress`, or `completed`. A status of `completed` indicates
+            that the vector store is ready for use.
+          type: string
+          enum:
+            - expired
+            - in_progress
+            - completed
+        expires_after:
+          $ref: "#/components/schemas/VectorStoreExpirationAfter"
+        expires_at:
+          description:
+            The Unix timestamp (in seconds) for when the vector store will
+            expire.
+          type: integer
+          nullable: true
+        last_active_at:
+          description:
+            The Unix timestamp (in seconds) for when the vector store was last
+            active.
+          type: integer
+          nullable: true
+        metadata:
+          $ref: "#/components/schemas/Metadata"
+      required:
+        - id
+        - object
+        - usage_bytes
+        - created_at
+        - status
+        - last_active_at
+        - name
+        - file_counts
+        - metadata
+      x-oaiMeta:
+        name: The vector store object
+        example: |
+          {
+            "id": "vs_123",
+            "object": "vector_store",
+            "created_at": 1698107661,
+            "usage_bytes": 123456,
+            "last_active_at": 1698107661,
+            "name": "my_vector_store",
+            "status": "completed",
+            "file_counts": {
+              "in_progress": 0,
+              "completed": 100,
+              "cancelled": 0,
+              "failed": 0,
+              "total": 100
+            },
+            "last_used_at": 1698107661
+          }
+    VectorStoreSearchRequest:
+      type: object
+      additionalProperties: false
+      properties:
+        query:
+          description: A query string for a search
+          oneOf:
+            - type: string
+            - type: array
+              items:
+                type: string
+                description: A list of queries to search for.
+                minItems: 1
+        rewrite_query:
+          description: Whether to rewrite the natural language query for vector search.
+          type: boolean
+          default: false
+        max_num_results:
+          description:
+            The maximum number of results to return. This number should be
+            between 1 and 50 inclusive.
+          type: integer
+          default: 10
+          minimum: 1
+          maximum: 50
+        filters:
+          description: A filter to apply based on file attributes.
+          oneOf:
+            - $ref: "#/components/schemas/ComparisonFilter"
+            - $ref: "#/components/schemas/CompoundFilter"
+          x-oaiExpandable: true
+        ranking_options:
+          description: Ranking options for search.
+          type: object
+          additionalProperties: false
+          properties:
+            ranker:
+              type: string
+              enum:
+                - auto
+                - default-2024-11-15
+              default: auto
+            score_threshold:
+              type: number
+              minimum: 0
+              maximum: 1
+              default: 0
+      required:
+        - query
+      x-oaiMeta:
+        name: Vector store search request
+    VectorStoreSearchResultContentObject:
+      type: object
+      additionalProperties: false
+      properties:
+        type:
+          description: The type of content.
+          type: string
+          enum:
+            - text
+        text:
+          description: The text content returned from search.
+          type: string
+      required:
+        - type
+        - text
+      x-oaiMeta:
+        name: Vector store search result content object
+    VectorStoreSearchResultItem:
+      type: object
+      additionalProperties: false
+      properties:
+        file_id:
+          type: string
+          description: The ID of the vector store file.
+        filename:
+          type: string
+          description: The name of the vector store file.
+        score:
+          type: number
+          description: The similarity score for the result.
+          minimum: 0
+          maximum: 1
+        attributes:
+          $ref: "#/components/schemas/VectorStoreFileAttributes"
+        content:
+          type: array
+          description: Content chunks from the file.
+          items:
+            $ref: "#/components/schemas/VectorStoreSearchResultContentObject"
+      required:
+        - file_id
+        - filename
+        - score
+        - attributes
+        - content
+      x-oaiMeta:
+        name: Vector store search result item
+    VectorStoreSearchResultsPage:
+      type: object
+      additionalProperties: false
+      properties:
+        object:
+          type: string
+          enum:
+            - vector_store.search_results.page
+          description: The object type, which is always `vector_store.search_results.page`
+          x-stainless-const: true
+        search_query:
+          type: array
+          items:
+            type: string
+            description: The query used for this search.
+            minItems: 1
+        data:
+          type: array
+          description: The list of search result items.
+          items:
+            $ref: "#/components/schemas/VectorStoreSearchResultItem"
+        has_more:
+          type: boolean
+          description: Indicates if there are more results to fetch.
+        next_page:
+          type: string
+          description: The token for the next page, if any.
+          nullable: true
+      required:
+        - object
+        - search_query
+        - data
+        - has_more
+        - next_page
+      x-oaiMeta:
+        name: Vector store search results page
+    VoiceIdsShared:
+      example: ash
+      anyOf:
+        - type: string
+        - type: string
+          enum:
+            - alloy
+            - ash
+            - ballad
+            - coral
+            - echo
+            - fable
+            - onyx
+            - nova
+            - sage
+            - shimmer
+            - verse
+    Wait:
+      type: object
+      title: Wait
+      description: |
+        A wait action.
+      properties:
+        type:
+          type: string
+          enum:
+            - wait
+          default: wait
+          description: |
+            Specifies the event type. For a wait action, this property is 
+            always set to `wait`.
+          x-stainless-const: true
+      required:
+        - type
+    WebSearchContextSize:
+      type: string
+      description: >
+        High level guidance for the amount of context window space to use for
+        the 
+
+        search. One of `low`, `medium`, or `high`. `medium` is the default.
+      enum:
+        - low
+        - medium
+        - high
+      default: medium
+    WebSearchLocation:
+      type: object
+      title: Web search location
+      description: Approximate location parameters for the search.
+      properties:
+        country:
+          type: string
+          description: >
+            The two-letter 
+
+            [ISO country code](https://en.wikipedia.org/wiki/ISO_3166-1) of the
+            user,
+
+            e.g. `US`.
+        region:
+          type: string
+          description: |
+            Free text input for the region of the user, e.g. `California`.
+        city:
+          type: string
+          description: |
+            Free text input for the city of the user, e.g. `San Francisco`.
+        timezone:
+          type: string
+          description: >
+            The [IANA
+            timezone](https://timeapi.io/documentation/iana-timezones) 
+
+            of the user, e.g. `America/Los_Angeles`.
+    WebSearchTool:
+      type: object
+      title: Web search
+      description: |
+        This tool searches the web for relevant results to use in a response.
+        Learn more about the [web search tool](/docs/guides/tools-web-search).
+      properties:
+        type:
+          type: string
+          enum:
+            - web_search_preview
+            - web_search_preview_2025_03_11
+          description: |
+            The type of the web search tool. One of:
+            - `web_search_preview`
+            - `web_search_preview_2025_03_11`
+        user_location:
+          allOf:
+            - $ref: "#/components/schemas/WebSearchLocation"
+            - type: object
+              properties:
+                type:
+                  type: string
+                  description: |
+                    The type of location approximation. Always `approximate`.
+                  enum:
+                    - approximate
+                  x-stainless-const: true
+              required:
+                - type
+          nullable: true
+        search_context_size:
+          $ref: "#/components/schemas/WebSearchContextSize"
+      required:
+        - type
+    WebSearchToolCall:
+      type: object
+      title: Web search tool call
+      description: |
+        The results of a web search tool call. See the 
+        [web search guide](/docs/guides/tools-web-search) for more information.
+      properties:
+        id:
+          type: string
+          description: |
+            The unique ID of the web search tool call.
+        type:
+          type: string
+          enum:
+            - web_search_call
+          description: |
+            The type of the web search tool call. Always `web_search_call`.
+          x-stainless-const: true
+        status:
+          type: string
+          description: |
+            The status of the web search tool call.
+          enum:
+            - in_progress
+            - searching
+            - completed
+            - failed
+      required:
+        - id
+        - type
+        - status
+  securitySchemes:
+    ApiKeyAuth:
+      type: http
+      scheme: bearer
+security:
+  - ApiKeyAuth: []
+x-oaiMeta:
+  navigationGroups:
+    - id: chat
+      title: Chat Completions
+    - id: endpoints
+      title: Platform APIs
+    - id: responses
+      title: Responses
+    - id: vector_stores
+      title: Vector stores
+    - id: realtime
+      title: Realtime
+      beta: true
+    - id: administration
+      title: Administration
+    - id: assistants
+      title: Assistants
+      beta: true
+    - id: legacy
+      title: Legacy
+  groups:
+    - id: chat
+      title: Chat Completions
+      description: >
+        The Chat Completions API endpoint will generate a model response from a 
+
+        list of messages comprising a conversation.
+
+
+        Related guides:
+
+        - [Quickstart](/docs/quickstart?api-mode=chat)
+
+        - [Text inputs and outputs](/docs/guides/text?api-mode=chat)
+
+        - [Image inputs](/docs/guides/images?api-mode=chat)
+
+        - [Audio inputs and outputs](/docs/guides/audio?api-mode=chat)
+
+        - [Structured Outputs](/docs/guides/structured-outputs?api-mode=chat)
+
+        - [Function calling](/docs/guides/function-calling?api-mode=chat)
+
+        - [Conversation state](/docs/guides/conversation-state?api-mode=chat)
+
+
+        **Starting a new project?** We recommend trying
+        [Responses](/docs/api-reference/responses) 
+
+        to take advantage of the latest OpenAI platform features. Compare
+
+        [Chat Completions with
+        Responses](/docs/guides/responses-vs-chat-completions?api-mode=responses).
+      navigationGroup: chat
+      sections:
+        - type: endpoint
+          key: createChatCompletion
+          path: create
+        - type: endpoint
+          key: getChatCompletion
+          path: get
+        - type: endpoint
+          key: getChatCompletionMessages
+          path: getMessages
+        - type: endpoint
+          key: listChatCompletions
+          path: list
+        - type: endpoint
+          key: updateChatCompletion
+          path: update
+        - type: endpoint
+          key: deleteChatCompletion
+          path: delete
+        - type: object
+          key: CreateChatCompletionResponse
+          path: object
+        - type: object
+          key: ChatCompletionList
+          path: list-object
+        - type: object
+          key: ChatCompletionMessageList
+          path: message-list
+    - id: chat-streaming
+      title: Streaming
+      description: |
+        Stream Chat Completions in real time. Receive chunks of completions
+        returned from the model using server-sent events. 
+        [Learn more](/docs/guides/streaming-responses?api-mode=chat).
+      navigationGroup: chat
+      sections:
+        - type: object
+          key: CreateChatCompletionStreamResponse
+          path: streaming
+    - id: audio
+      title: Audio
+      description: |
+        Learn how to turn audio into text or text into audio.
+
+        Related guide: [Speech to text](/docs/guides/speech-to-text)
+      navigationGroup: endpoints
+      sections:
+        - type: endpoint
+          key: createSpeech
+          path: createSpeech
+        - type: endpoint
+          key: createTranscription
+          path: createTranscription
+        - type: endpoint
+          key: createTranslation
+          path: createTranslation
+        - type: object
+          key: CreateTranscriptionResponseJson
+          path: json-object
+        - type: object
+          key: CreateTranscriptionResponseVerboseJson
+          path: verbose-json-object
+        - type: object
+          key: TranscriptTextDeltaEvent
+          path: transcript-text-delta-event
+        - type: object
+          key: TranscriptTextDoneEvent
+          path: transcript-text-done-event
+    - id: embeddings
+      title: Embeddings
+      description: >
+        Get a vector representation of a given input that can be easily consumed
+        by machine learning models and algorithms.
+
+        Related guide: [Embeddings](/docs/guides/embeddings)
+      navigationGroup: endpoints
+      sections:
+        - type: endpoint
+          key: createEmbedding
+          path: create
+        - type: object
+          key: Embedding
+          path: object
+    - id: fine-tuning
+      title: Fine-tuning
+      description: >
+        Manage fine-tuning jobs to tailor a model to your specific training
+        data.
+
+        Related guide: [Fine-tune models](/docs/guides/fine-tuning)
+      navigationGroup: endpoints
+      sections:
+        - type: endpoint
+          key: createFineTuningJob
+          path: create
+        - type: endpoint
+          key: listPaginatedFineTuningJobs
+          path: list
+        - type: endpoint
+          key: listFineTuningEvents
+          path: list-events
+        - type: endpoint
+          key: listFineTuningJobCheckpoints
+          path: list-checkpoints
+        - type: endpoint
+          key: listFineTuningCheckpointPermissions
+          path: list-permissions
+        - type: endpoint
+          key: createFineTuningCheckpointPermission
+          path: create-permission
+        - type: endpoint
+          key: deleteFineTuningCheckpointPermission
+          path: delete-permission
+        - type: endpoint
+          key: retrieveFineTuningJob
+          path: retrieve
+        - type: endpoint
+          key: cancelFineTuningJob
+          path: cancel
+        - type: object
+          key: FineTuneChatRequestInput
+          path: chat-input
+        - type: object
+          key: FineTunePreferenceRequestInput
+          path: preference-input
+        - type: object
+          key: FineTuneCompletionRequestInput
+          path: completions-input
+        - type: object
+          key: FineTuningJob
+          path: object
+        - type: object
+          key: FineTuningJobEvent
+          path: event-object
+        - type: object
+          key: FineTuningJobCheckpoint
+          path: checkpoint-object
+        - type: object
+          key: FineTuningCheckpointPermission
+          path: permission-object
+    - id: batch
+      title: Batch
+      description: >
+        Create large batches of API requests for asynchronous processing. The
+        Batch API returns completions within 24 hours for a 50% discount.
+
+        Related guide: [Batch](/docs/guides/batch)
+      navigationGroup: endpoints
+      sections:
+        - type: endpoint
+          key: createBatch
+          path: create
+        - type: endpoint
+          key: retrieveBatch
+          path: retrieve
+        - type: endpoint
+          key: cancelBatch
+          path: cancel
+        - type: endpoint
+          key: listBatches
+          path: list
+        - type: object
+          key: Batch
+          path: object
+        - type: object
+          key: BatchRequestInput
+          path: request-input
+        - type: object
+          key: BatchRequestOutput
+          path: request-output
+    - id: files
+      title: Files
+      description: >
+        Files are used to upload documents that can be used with features like
+        [Assistants](/docs/api-reference/assistants),
+        [Fine-tuning](/docs/api-reference/fine-tuning), and [Batch
+        API](/docs/guides/batch).
+      navigationGroup: endpoints
+      sections:
+        - type: endpoint
+          key: createFile
+          path: create
+        - type: endpoint
+          key: listFiles
+          path: list
+        - type: endpoint
+          key: retrieveFile
+          path: retrieve
+        - type: endpoint
+          key: deleteFile
+          path: delete
+        - type: endpoint
+          key: downloadFile
+          path: retrieve-contents
+        - type: object
+          key: OpenAIFile
+          path: object
+    - id: uploads
+      title: Uploads
+      description: |
+        Allows you to upload large files in multiple parts.
+      navigationGroup: endpoints
+      sections:
+        - type: endpoint
+          key: createUpload
+          path: create
+        - type: endpoint
+          key: addUploadPart
+          path: add-part
+        - type: endpoint
+          key: completeUpload
+          path: complete
+        - type: endpoint
+          key: cancelUpload
+          path: cancel
+        - type: object
+          key: Upload
+          path: object
+        - type: object
+          key: UploadPart
+          path: part-object
+    - id: images
+      title: Images
+      description: >
+        Given a prompt and/or an input image, the model will generate a new
+        image.
+
+        Related guide: [Image generation](/docs/guides/images)
+      navigationGroup: endpoints
+      sections:
+        - type: endpoint
+          key: createImage
+          path: create
+        - type: endpoint
+          key: createImageEdit
+          path: createEdit
+        - type: endpoint
+          key: createImageVariation
+          path: createVariation
+        - type: object
+          key: Image
+          path: object
+    - id: models
+      title: Models
+      description: >
+        List and describe the various models available in the API. You can refer
+        to the [Models](/docs/models) documentation to understand what models
+        are available and the differences between them.
+      navigationGroup: endpoints
+      sections:
+        - type: endpoint
+          key: listModels
+          path: list
+        - type: endpoint
+          key: retrieveModel
+          path: retrieve
+        - type: endpoint
+          key: deleteModel
+          path: delete
+        - type: object
+          key: Model
+          path: object
+    - id: moderations
+      title: Moderations
+      description: >
+        Given text and/or image inputs, classifies if those inputs are
+        potentially harmful across several categories.
+
+        Related guide: [Moderations](/docs/guides/moderation)
+      navigationGroup: endpoints
+      sections:
+        - type: endpoint
+          key: createModeration
+          path: create
+        - type: object
+          key: CreateModerationResponse
+          path: object
+    - id: responses
+      title: Responses
+      description: >
+        OpenAI's most advanced interface for generating model responses.
+        Supports
+
+        text and image inputs, and text outputs. Create stateful interactions
+
+        with the model, using the output of previous responses as input. Extend
+
+        the model's capabilities with built-in tools for file search, web
+        search,
+
+        computer use, and more. Allow the model access to external systems and
+        data 
+
+        using function calling.
+
+
+        Related guides:
+
+        - [Quickstart](/docs/quickstart?api-mode=responses)
+
+        - [Text inputs and outputs](/docs/guides/text?api-mode=responses)
+
+        - [Image inputs](/docs/guides/images?api-mode=responses)
+
+        - [Structured
+        Outputs](/docs/guides/structured-outputs?api-mode=responses)
+
+        - [Function calling](/docs/guides/function-calling?api-mode=responses)
+
+        - [Conversation
+        state](/docs/guides/conversation-state?api-mode=responses)
+
+        - [Extend the models with tools](/docs/guides/tools?api-mode=responses)
+      navigationGroup: responses
+      sections:
+        - type: endpoint
+          key: createResponse
+          path: create
+        - type: endpoint
+          key: getResponse
+          path: get
+        - type: endpoint
+          key: deleteResponse
+          path: delete
+        - type: endpoint
+          key: listInputItems
+          path: input-items
+        - type: object
+          key: Response
+          path: object
+        - type: object
+          key: ResponseItemList
+          path: list
+    - id: responses-streaming
+      title: Streaming
+      description: >
+        When you [create a Response](/docs/api-reference/responses/create) with
+
+        `stream` set to `true`, the server will emit server-sent events to the
+
+        client as the Response is generated. This section contains the events
+        that
+
+        are emitted by the server.
+
+
+        [Learn more about streaming
+        responses](/docs/guides/streaming-responses?api-mode=responses).
+      navigationGroup: responses
+      sections:
+        - type: object
+          key: ResponseCreatedEvent
+          path: <auto>
+        - type: object
+          key: ResponseInProgressEvent
+          path: <auto>
+        - type: object
+          key: ResponseCompletedEvent
+          path: <auto>
+        - type: object
+          key: ResponseFailedEvent
+          path: <auto>
+        - type: object
+          key: ResponseIncompleteEvent
+          path: <auto>
+        - type: object
+          key: ResponseOutputItemAddedEvent
+          path: <auto>
+        - type: object
+          key: ResponseOutputItemDoneEvent
+          path: <auto>
+        - type: object
+          key: ResponseContentPartAddedEvent
+          path: <auto>
+        - type: object
+          key: ResponseContentPartDoneEvent
+          path: <auto>
+        - type: object
+          key: ResponseTextDeltaEvent
+          path: <auto>
+        - type: object
+          key: ResponseTextAnnotationDeltaEvent
+          path: <auto>
+        - type: object
+          key: ResponseTextDoneEvent
+          path: <auto>
+        - type: object
+          key: ResponseRefusalDeltaEvent
+          path: <auto>
+        - type: object
+          key: ResponseRefusalDoneEvent
+          path: <auto>
+        - type: object
+          key: ResponseFunctionCallArgumentsDeltaEvent
+          path: <auto>
+        - type: object
+          key: ResponseFunctionCallArgumentsDoneEvent
+          path: <auto>
+        - type: object
+          key: ResponseFileSearchCallInProgressEvent
+          path: <auto>
+        - type: object
+          key: ResponseFileSearchCallSearchingEvent
+          path: <auto>
+        - type: object
+          key: ResponseFileSearchCallCompletedEvent
+          path: <auto>
+        - type: object
+          key: ResponseWebSearchCallInProgressEvent
+          path: <auto>
+        - type: object
+          key: ResponseWebSearchCallSearchingEvent
+          path: <auto>
+        - type: object
+          key: ResponseWebSearchCallCompletedEvent
+          path: <auto>
+        - type: object
+          key: ResponseErrorEvent
+          path: <auto>
+    - id: realtime
+      title: Realtime
+      beta: true
+      description: |
+        Communicate with a GPT-4o class model in real time using WebRTC or 
+        WebSockets. Supports text and audio inputs and ouputs, along with audio
+        transcriptions.
+        [Learn more about the Realtime API](/docs/guides/realtime).
+      navigationGroup: realtime
+    - id: realtime-sessions
+      title: Session tokens
+      description: >
+        REST API endpoint to generate ephemeral session tokens for use in
+        client-side
+
+        applications.
+      navigationGroup: realtime
+      sections:
+        - type: endpoint
+          key: create-realtime-session
+          path: create
+        - type: endpoint
+          key: create-realtime-transcription-session
+          path: create-transcription
+        - type: object
+          key: RealtimeSessionCreateResponse
+          path: session_object
+        - type: object
+          key: RealtimeTranscriptionSessionCreateResponse
+          path: transcription_session_object
+    - id: realtime-client-events
+      title: Client events
+      description: >
+        These are events that the OpenAI Realtime WebSocket server will accept
+        from the client.
+      navigationGroup: realtime
+      sections:
+        - type: object
+          key: RealtimeClientEventSessionUpdate
+          path: <auto>
+        - type: object
+          key: RealtimeClientEventInputAudioBufferAppend
+          path: <auto>
+        - type: object
+          key: RealtimeClientEventInputAudioBufferCommit
+          path: <auto>
+        - type: object
+          key: RealtimeClientEventInputAudioBufferClear
+          path: <auto>
+        - type: object
+          key: RealtimeClientEventConversationItemCreate
+          path: <auto>
+        - type: object
+          key: RealtimeClientEventConversationItemTruncate
+          path: <auto>
+        - type: object
+          key: RealtimeClientEventConversationItemDelete
+          path: <auto>
+        - type: object
+          key: RealtimeClientEventResponseCreate
+          path: <auto>
+        - type: object
+          key: RealtimeClientEventResponseCancel
+          path: <auto>
+        - type: object
+          key: RealtimeClientEventTranscriptionSessionUpdate
+          path: <auto>
+    - id: realtime-server-events
+      title: Server events
+      description: >
+        These are events emitted from the OpenAI Realtime WebSocket server to
+        the client.
+      navigationGroup: realtime
+      sections:
+        - type: object
+          key: RealtimeServerEventError
+          path: <auto>
+        - type: object
+          key: RealtimeServerEventSessionCreated
+          path: <auto>
+        - type: object
+          key: RealtimeServerEventSessionUpdated
+          path: <auto>
+        - type: object
+          key: RealtimeServerEventConversationCreated
+          path: <auto>
+        - type: object
+          key: RealtimeServerEventConversationItemCreated
+          path: <auto>
+        - type: object
+          key: RealtimeServerEventConversationItemInputAudioTranscriptionCompleted
+          path: <auto>
+        - type: object
+          key: RealtimeServerEventConversationItemInputAudioTranscriptionDelta
+          path: <auto>
+        - type: object
+          key: RealtimeServerEventConversationItemInputAudioTranscriptionFailed
+          path: <auto>
+        - type: object
+          key: RealtimeServerEventConversationItemTruncated
+          path: <auto>
+        - type: object
+          key: RealtimeServerEventConversationItemDeleted
+          path: <auto>
+        - type: object
+          key: RealtimeServerEventInputAudioBufferCommitted
+          path: <auto>
+        - type: object
+          key: RealtimeServerEventInputAudioBufferCleared
+          path: <auto>
+        - type: object
+          key: RealtimeServerEventInputAudioBufferSpeechStarted
+          path: <auto>
+        - type: object
+          key: RealtimeServerEventInputAudioBufferSpeechStopped
+          path: <auto>
+        - type: object
+          key: RealtimeServerEventResponseCreated
+          path: <auto>
+        - type: object
+          key: RealtimeServerEventResponseDone
+          path: <auto>
+        - type: object
+          key: RealtimeServerEventResponseOutputItemAdded
+          path: <auto>
+        - type: object
+          key: RealtimeServerEventResponseOutputItemDone
+          path: <auto>
+        - type: object
+          key: RealtimeServerEventResponseContentPartAdded
+          path: <auto>
+        - type: object
+          key: RealtimeServerEventResponseContentPartDone
+          path: <auto>
+        - type: object
+          key: RealtimeServerEventResponseTextDelta
+          path: <auto>
+        - type: object
+          key: RealtimeServerEventResponseTextDone
+          path: <auto>
+        - type: object
+          key: RealtimeServerEventResponseAudioTranscriptDelta
+          path: <auto>
+        - type: object
+          key: RealtimeServerEventResponseAudioTranscriptDone
+          path: <auto>
+        - type: object
+          key: RealtimeServerEventResponseAudioDelta
+          path: <auto>
+        - type: object
+          key: RealtimeServerEventResponseAudioDone
+          path: <auto>
+        - type: object
+          key: RealtimeServerEventResponseFunctionCallArgumentsDelta
+          path: <auto>
+        - type: object
+          key: RealtimeServerEventResponseFunctionCallArgumentsDone
+          path: <auto>
+        - type: object
+          key: RealtimeServerEventTranscriptionSessionUpdated
+          path: <auto>
+        - type: object
+          key: RealtimeServerEventRateLimitsUpdated
+          path: <auto>
+    - id: vector-stores
+      title: Vector stores
+      description: >
+        Vector stores power semantic search for the Retrieval API and the
+        `file_search` tool in the Responses and Assistants APIs.
+
+
+        Related guide: [File Search](/docs/assistants/tools/file-search)
+      navigationGroup: vector_stores
+      sections:
+        - type: endpoint
+          key: createVectorStore
+          path: create
+        - type: endpoint
+          key: listVectorStores
+          path: list
+        - type: endpoint
+          key: getVectorStore
+          path: retrieve
+        - type: endpoint
+          key: modifyVectorStore
+          path: modify
+        - type: endpoint
+          key: deleteVectorStore
+          path: delete
+        - type: endpoint
+          key: searchVectorStore
+          path: search
+        - type: object
+          key: VectorStoreObject
+          path: object
+    - id: vector-stores-files
+      title: Vector store files
+      description: |
+        Vector store files represent files inside a vector store.
+
+        Related guide: [File Search](/docs/assistants/tools/file-search)
+      navigationGroup: vector_stores
+      sections:
+        - type: endpoint
+          key: createVectorStoreFile
+          path: createFile
+        - type: endpoint
+          key: listVectorStoreFiles
+          path: listFiles
+        - type: endpoint
+          key: getVectorStoreFile
+          path: getFile
+        - type: endpoint
+          key: retrieveVectorStoreFileContent
+          path: getContent
+        - type: endpoint
+          key: updateVectorStoreFileAttributes
+          path: updateAttributes
+        - type: endpoint
+          key: deleteVectorStoreFile
+          path: deleteFile
+        - type: object
+          key: VectorStoreFileObject
+          path: file-object
+    - id: vector-stores-file-batches
+      title: Vector store file batches
+      description: >
+        Vector store file batches represent operations to add multiple files to
+        a vector store.
+
+        Related guide: [File Search](/docs/assistants/tools/file-search)
+      navigationGroup: vector_stores
+      sections:
+        - type: endpoint
+          key: createVectorStoreFileBatch
+          path: createBatch
+        - type: endpoint
+          key: getVectorStoreFileBatch
+          path: getBatch
+        - type: endpoint
+          key: cancelVectorStoreFileBatch
+          path: cancelBatch
+        - type: endpoint
+          key: listFilesInVectorStoreBatch
+          path: listBatchFiles
+        - type: object
+          key: VectorStoreFileBatchObject
+          path: batch-object
+    - id: administration
+      title: Administration
+      description: >
+        Programmatically manage your organization.
+
+        The Audit Logs endpoint provides a log of all actions taken in the
+        organization for security and monitoring purposes.
+
+        To access these endpoints please generate an Admin API Key through the
+        [API Platform Organization overview](/organization/admin-keys). Admin
+        API keys cannot be used for non-administration endpoints.
+
+        For best practices on setting up your organization, please refer to this
+        [guide](/docs/guides/production-best-practices#setting-up-your-organization)
+      navigationGroup: administration
+    - id: admin-api-keys
+      title: Admin API Keys
+      description: >
+        Admin API keys enable Organization Owners to programmatically manage
+        various aspects of their organization, including users, projects, and
+        API keys. These keys provide administrative capabilities, such as
+        creating, updating, and deleting users; managing projects; and
+        overseeing API key lifecycles.
+
+
+        Key Features of Admin API Keys:
+
+
+        - User Management: Invite new users, update roles, and remove users from
+        the organization.
+
+
+        - Project Management: Create, update, archive projects, and manage user
+        assignments within projects.
+
+
+        - API Key Oversight: List, retrieve, and delete API keys associated with
+        projects.
+
+
+        Only Organization Owners have the authority to create and utilize Admin
+        API keys. To manage these keys, Organization Owners can navigate to the
+        Admin Keys section of their API Platform dashboard.
+
+
+        For direct access to the Admin Keys management page, Organization Owners
+        can use the following link:
+
+
+        [https://platform.openai.com/settings/organization/admin-keys](https://platform.openai.com/settings/organization/admin-keys)
+
+
+        It's crucial to handle Admin API keys with care due to their elevated
+        permissions. Adhering to best practices, such as regular key rotation
+        and assigning appropriate permissions, enhances security and ensures
+        proper governance within the organization.
+      navigationGroup: administration
+      sections:
+        - type: endpoint
+          key: admin-api-keys-list
+          path: list
+        - type: endpoint
+          key: admin-api-keys-create
+          path: create
+        - type: endpoint
+          key: admin-api-keys-get
+          path: listget
+        - type: endpoint
+          key: admin-api-keys-delete
+          path: delete
+    - id: invite
+      title: Invites
+      description: Invite and manage invitations for an organization.
+      navigationGroup: administration
+      sections:
+        - type: endpoint
+          key: list-invites
+          path: list
+        - type: endpoint
+          key: inviteUser
+          path: create
+        - type: endpoint
+          key: retrieve-invite
+          path: retrieve
+        - type: endpoint
+          key: delete-invite
+          path: delete
+        - type: object
+          key: Invite
+          path: object
+    - id: users
+      title: Users
+      description: |
+        Manage users and their role in an organization.
+      navigationGroup: administration
+      sections:
+        - type: endpoint
+          key: list-users
+          path: list
+        - type: endpoint
+          key: modify-user
+          path: modify
+        - type: endpoint
+          key: retrieve-user
+          path: retrieve
+        - type: endpoint
+          key: delete-user
+          path: delete
+        - type: object
+          key: User
+          path: object
+    - id: projects
+      title: Projects
+      description: >
+        Manage the projects within an orgnanization includes creation, updating,
+        and archiving or projects.
+
+        The Default project cannot be archived.
+      navigationGroup: administration
+      sections:
+        - type: endpoint
+          key: list-projects
+          path: list
+        - type: endpoint
+          key: create-project
+          path: create
+        - type: endpoint
+          key: retrieve-project
+          path: retrieve
+        - type: endpoint
+          key: modify-project
+          path: modify
+        - type: endpoint
+          key: archive-project
+          path: archive
+        - type: object
+          key: Project
+          path: object
+    - id: project-users
+      title: Project users
+      description: >
+        Manage users within a project, including adding, updating roles, and
+        removing users.
+      navigationGroup: administration
+      sections:
+        - type: endpoint
+          key: list-project-users
+          path: list
+        - type: endpoint
+          key: create-project-user
+          path: creeate
+        - type: endpoint
+          key: retrieve-project-user
+          path: retrieve
+        - type: endpoint
+          key: modify-project-user
+          path: modify
+        - type: endpoint
+          key: delete-project-user
+          path: delete
+        - type: object
+          key: ProjectUser
+          path: object
+    - id: project-service-accounts
+      title: Project service accounts
+      description: >
+        Manage service accounts within a project. A service account is a bot
+        user that is not associated with a user.
+
+        If a user leaves an organization, their keys and membership in projects
+        will no longer work. Service accounts
+
+        do not have this limitation. However, service accounts can also be
+        deleted from a project.
+      navigationGroup: administration
+      sections:
+        - type: endpoint
+          key: list-project-service-accounts
+          path: list
+        - type: endpoint
+          key: create-project-service-account
+          path: create
+        - type: endpoint
+          key: retrieve-project-service-account
+          path: retrieve
+        - type: endpoint
+          key: delete-project-service-account
+          path: delete
+        - type: object
+          key: ProjectServiceAccount
+          path: object
+    - id: project-api-keys
+      title: Project API keys
+      description: >
+        Manage API keys for a given project. Supports listing and deleting keys
+        for users.
+
+        This API does not allow issuing keys for users, as users need to
+        authorize themselves to generate keys.
+      navigationGroup: administration
+      sections:
+        - type: endpoint
+          key: list-project-api-keys
+          path: list
+        - type: endpoint
+          key: retrieve-project-api-key
+          path: retrieve
+        - type: endpoint
+          key: delete-project-api-key
+          path: delete
+        - type: object
+          key: ProjectApiKey
+          path: object
+    - id: project-rate-limits
+      title: Project rate limits
+      description: >
+        Manage rate limits per model for projects. Rate limits may be configured
+        to be equal to or lower than the organization's rate limits.
+      navigationGroup: administration
+      sections:
+        - type: endpoint
+          key: list-project-rate-limits
+          path: list
+        - type: endpoint
+          key: update-project-rate-limits
+          path: update
+        - type: object
+          key: ProjectRateLimit
+          path: object
+    - id: audit-logs
+      title: Audit logs
+      description: >
+        Logs of user actions and configuration changes within this organization.
+
+        To log events, you must activate logging in the [Organization
+        Settings](/settings/organization/general).
+
+        Once activated, for security reasons, logging cannot be deactivated.
+      navigationGroup: administration
+      sections:
+        - type: endpoint
+          key: list-audit-logs
+          path: list
+        - type: object
+          key: AuditLog
+          path: object
+    - id: usage
+      title: Usage
+      description: >
+        The **Usage API** provides detailed insights into your activity across
+        the OpenAI API. It also includes a separate [Costs
+        endpoint](/docs/api-reference/usage/costs), which offers visibility into
+        your spend, breaking down consumption by invoice line items and project
+        IDs.
+
+
+        While the Usage API delivers granular usage data, it may not always
+        reconcile perfectly with the Costs due to minor differences in how usage
+        and spend are recorded. For financial purposes, we recommend using the
+        [Costs endpoint](/docs/api-reference/usage/costs) or the [Costs
+        tab](/settings/organization/usage) in the Usage Dashboard, which will
+        reconcile back to your billing invoice.
+      navigationGroup: administration
+      sections:
+        - type: endpoint
+          key: usage-completions
+          path: completions
+        - type: object
+          key: UsageCompletionsResult
+          path: completions_object
+        - type: endpoint
+          key: usage-embeddings
+          path: embeddings
+        - type: object
+          key: UsageEmbeddingsResult
+          path: embeddings_object
+        - type: endpoint
+          key: usage-moderations
+          path: moderations
+        - type: object
+          key: UsageModerationsResult
+          path: moderations_object
+        - type: endpoint
+          key: usage-images
+          path: images
+        - type: object
+          key: UsageImagesResult
+          path: images_object
+        - type: endpoint
+          key: usage-audio-speeches
+          path: audio_speeches
+        - type: object
+          key: UsageAudioSpeechesResult
+          path: audio_speeches_object
+        - type: endpoint
+          key: usage-audio-transcriptions
+          path: audio_transcriptions
+        - type: object
+          key: UsageAudioTranscriptionsResult
+          path: audio_transcriptions_object
+        - type: endpoint
+          key: usage-vector-stores
+          path: vector_stores
+        - type: object
+          key: UsageVectorStoresResult
+          path: vector_stores_object
+        - type: endpoint
+          key: usage-code-interpreter-sessions
+          path: code_interpreter_sessions
+        - type: object
+          key: UsageCodeInterpreterSessionsResult
+          path: code_interpreter_sessions_object
+        - type: endpoint
+          key: usage-costs
+          path: costs
+        - type: object
+          key: CostsResult
+          path: costs_object
+    - id: assistants
+      title: Assistants
+      beta: true
+      description: |
+        Build assistants that can call models and use tools to perform tasks.
+
+        [Get started with the Assistants API](/docs/assistants)
+      navigationGroup: assistants
+      sections:
+        - type: endpoint
+          key: createAssistant
+          path: createAssistant
+        - type: endpoint
+          key: listAssistants
+          path: listAssistants
+        - type: endpoint
+          key: getAssistant
+          path: getAssistant
+        - type: endpoint
+          key: modifyAssistant
+          path: modifyAssistant
+        - type: endpoint
+          key: deleteAssistant
+          path: deleteAssistant
+        - type: object
+          key: AssistantObject
+          path: object
+    - id: threads
+      title: Threads
+      beta: true
+      description: |
+        Create threads that assistants can interact with.
+
+        Related guide: [Assistants](/docs/assistants/overview)
+      navigationGroup: assistants
+      sections:
+        - type: endpoint
+          key: createThread
+          path: createThread
+        - type: endpoint
+          key: getThread
+          path: getThread
+        - type: endpoint
+          key: modifyThread
+          path: modifyThread
+        - type: endpoint
+          key: deleteThread
+          path: deleteThread
+        - type: object
+          key: ThreadObject
+          path: object
+    - id: messages
+      title: Messages
+      beta: true
+      description: |
+        Create messages within threads
+
+        Related guide: [Assistants](/docs/assistants/overview)
+      navigationGroup: assistants
+      sections:
+        - type: endpoint
+          key: createMessage
+          path: createMessage
+        - type: endpoint
+          key: listMessages
+          path: listMessages
+        - type: endpoint
+          key: getMessage
+          path: getMessage
+        - type: endpoint
+          key: modifyMessage
+          path: modifyMessage
+        - type: endpoint
+          key: deleteMessage
+          path: deleteMessage
+        - type: object
+          key: MessageObject
+          path: object
+    - id: runs
+      title: Runs
+      beta: true
+      description: |
+        Represents an execution run on a thread.
+
+        Related guide: [Assistants](/docs/assistants/overview)
+      navigationGroup: assistants
+      sections:
+        - type: endpoint
+          key: createRun
+          path: createRun
+        - type: endpoint
+          key: createThreadAndRun
+          path: createThreadAndRun
+        - type: endpoint
+          key: listRuns
+          path: listRuns
+        - type: endpoint
+          key: getRun
+          path: getRun
+        - type: endpoint
+          key: modifyRun
+          path: modifyRun
+        - type: endpoint
+          key: submitToolOuputsToRun
+          path: submitToolOutputs
+        - type: endpoint
+          key: cancelRun
+          path: cancelRun
+        - type: object
+          key: RunObject
+          path: object
+    - id: run-steps
+      title: Run steps
+      beta: true
+      description: |
+        Represents the steps (model and tool calls) taken during the run.
+
+        Related guide: [Assistants](/docs/assistants/overview)
+      navigationGroup: assistants
+      sections:
+        - type: endpoint
+          key: listRunSteps
+          path: listRunSteps
+        - type: endpoint
+          key: getRunStep
+          path: getRunStep
+        - type: object
+          key: RunStepObject
+          path: step-object
+    - id: assistants-streaming
+      title: Streaming
+      beta: true
+      description: >
+        Stream the result of executing a Run or resuming a Run after submitting
+        tool outputs.
+
+        You can stream events from the [Create Thread and
+        Run](/docs/api-reference/runs/createThreadAndRun),
+
+        [Create Run](/docs/api-reference/runs/createRun), and [Submit Tool
+        Outputs](/docs/api-reference/runs/submitToolOutputs)
+
+        endpoints by passing `"stream": true`. The response will be a
+        [Server-Sent
+        events](https://html.spec.whatwg.org/multipage/server-sent-events.html#server-sent-events)
+        stream.
+
+        Our Node and Python SDKs provide helpful utilities to make streaming
+        easy. Reference the
+
+        [Assistants API quickstart](/docs/assistants/overview) to learn more.
+      navigationGroup: assistants
+      sections:
+        - type: object
+          key: MessageDeltaObject
+          path: message-delta-object
+        - type: object
+          key: RunStepDeltaObject
+          path: run-step-delta-object
+        - type: object
+          key: AssistantStreamEvent
+          path: events
+    - id: completions
+      title: Completions
+      legacy: true
+      navigationGroup: legacy
+      description: >
+        Given a prompt, the model will return one or more predicted completions
+        along with the probabilities of alternative tokens at each position.
+        Most developer should use our [Chat Completions
+        API](/docs/guides/text-generation#text-generation-models) to leverage
+        our best and newest models.
+      sections:
+        - type: endpoint
+          key: createCompletion
+          path: create
+        - type: object
+          key: CreateCompletionResponse
+          path: object