fix(tracing): Add association property #3524
Conversation
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Note Other AI code review bot(s) detectedCodeRabbit has detected other AI code review bot(s) in this pull request and will avoid duplicating their findings in the review comments. This may lead to a less comprehensive review. 📝 WalkthroughWalkthroughThe changes introduce a new Gemini-based chatbot module with tool support and Traceloop observability integration, while extending the Traceloop SDK with an associations feature for trace metadata management. New test coverage validates the associations functionality, and configuration is updated to exclude development files. Changes
Sequence DiagramssequenceDiagram
participant User
participant ChatBot as process_message()
participant GeminiAPI as Gemini API
participant Tool as Tool Functions
User->>ChatBot: user_message
ChatBot->>ChatBot: add user message to history
loop Tool Invocation Loop
ChatBot->>GeminiAPI: generate_content(history, tools)
alt Tool Call Returned
GeminiAPI-->>ChatBot: tool_use response
ChatBot->>ChatBot: extract function_name & args
ChatBot->>Tool: execute_function()
Tool-->>ChatBot: result string
ChatBot->>ChatBot: append call + result to history
else Text Response Returned
GeminiAPI-->>ChatBot: text response
ChatBot->>ChatBot: finalize response
ChatBot-->>User: assistant message + history
break End Conversation
end
end
end
sequenceDiagram
participant App as Application
participant Client as Traceloop Client
participant Associations as Associations API
participant TracingLayer as Tracing Layer
participant SpanExporter as OpenTelemetry
App->>Client: initialize()
Client->>Associations: Associations()
App->>Associations: set([(SESSION_ID, "123"), (USER_ID, "user_a")])
Associations->>TracingLayer: set_association_properties({...})
TracingLayer->>SpanExporter: apply properties to active spans
SpanExporter-->>TracingLayer: attributes set
App->>Client: start workflow/task
Client->>SpanExporter: create span with association attributes
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1. packages/sample-app/sample_app/chats/gemini_chatbot.py:129
- Draft comment:
Using associations.set to tag the conversation is good. Consider adding input validation for the conversation_id to avoid empty or malformed values. - Reason this comment was not posted:
Decided after close inspection that this draft comment was likely wrong and/or not actionable: usefulness confidence = 20% vs. threshold = 50% This is a new file being added, so all the code is technically new. The comment is suggesting defensive programming by adding validation. However, looking at the actual usage inmain(), theconversation_idis always generated as a UUID string, so it will never be empty or malformed in practice. The comment is speculative - it's suggesting to guard against a problem that doesn't exist in the current code. The function could theoretically be called from elsewhere with bad input, but that's speculative. According to the rules, I should not keep speculative comments like "If X, then Y is an issue" - I should only comment if it's definitely an issue. There's no evidence of actual misuse here. The comment could be valid if this function is part of a public API that could be called from other places with arbitrary input. I might be missing context about whether this function is intended to be called from other modules or if it's only used internally within this file. The validation could prevent runtime errors if someone calls this function incorrectly. Even if the function could be called from elsewhere, the comment is still speculative because there's no evidence in the current code that it will be called with invalid input. The only caller in this file (main()) always passes a valid UUID. The rules explicitly state not to make speculative comments. This is a "consider adding" suggestion for defensive programming, not a clear bug or issue. This comment should be deleted. It's a speculative suggestion for defensive programming without evidence of an actual issue. The only usage in the code always passes a valid UUID string, and there's no indication that invalid input will be passed. This violates the rule against speculative comments.
2. packages/traceloop-sdk/tests/test_associations.py:60
- Draft comment:
The tests correctly set and assert associations. Note that span order is assumed; consider verifying spans based on attributes rather than fixed order for increased robustness. - Reason this comment was not posted:
Confidence changes required:50%<= threshold50%None
3. packages/traceloop-sdk/traceloop/sdk/associations/associations.py:44
- Draft comment:
Ensure get_value returns a dict before updating associations to prevent potential type errors. Consider adding a type check or fallback logic. - Reason this comment was not posted:
Comment looked like it was already resolved.
4. packages/traceloop-sdk/traceloop/sdk/client/client.py:72
- Draft comment:
Initialization of associations in the client constructor is straightforward and ensures associations are available in subsequent operations. - Reason this comment was not posted:
Confidence changes required:0%<= threshold50%None
5. packages/traceloop-sdk/traceloop/sdk/tracing/tracing.py:352
- Draft comment:
Associations are correctly applied to spans in default_span_processor_on_start. For extra safety, consider prefixing association keys to avoid any collision with other span attributes. - Reason this comment was not posted:
Decided after close inspection that this draft comment was likely wrong and/or not actionable: usefulness confidence = 20% vs. threshold = 50% This is a code quality suggestion about the new associations feature. The comment points out that the keys from the associations dictionary are being used directly as span attribute names without any namespace/prefix. This could indeed cause collisions if the associations dictionary contains keys that match existing span attribute names. Looking at the pattern in the codebase, other similar features do use prefixes (association_properties, prompt_template_variables). However, I need to consider: 1) Is this definitely about changed code? Yes, lines 352-357 are new additions. 2) Is this actionable? Yes, it's a clear suggestion to add prefixing. 3) Is this speculative or definite? It's somewhat speculative - it says "consider" and talks about avoiding "any collision" which is a potential issue, not a definite one. The comment doesn't prove there IS a collision, just that there COULD be one. The comment is somewhat speculative - it uses "consider" and talks about avoiding potential collisions rather than pointing to a definite issue. Without knowing what keys are actually in the associations dictionary or what the intended use case is, we can't be certain this is a problem. Perhaps the associations feature is intentionally designed to allow setting arbitrary span attributes without prefixes. While the comment is somewhat speculative, it's a reasonable code quality concern based on the established patterns in the codebase. However, the rules state "Do NOT make speculative comments, such as 'If X, then Y is an issue', Only comment if it is definitely an issue." The word "consider" and the phrase "to avoid any collision" make this a speculative suggestion rather than a definite issue. Without more context about the intended design of the associations feature, we cannot be certain this is incorrect. This comment should be deleted. While it raises a reasonable code quality concern, it is speculative in nature ("consider...to avoid any collision") rather than pointing to a definite issue. The rules explicitly state not to make speculative comments. Without evidence that collisions will actually occur or that this design is incorrect, we should assume the author implemented it correctly.
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Actionable comments posted: 3
🧹 Nitpick comments (3)
packages/traceloop-sdk/traceloop/sdk/__init__.py (1)
34-34: Re-export import flagged as unused by Flake8.The import is intentionally a re-export for public API access, but Flake8 reports it as unused (F401). To silence the linter and make the intent explicit, consider adding an
__all__declaration or using an explicit re-export pattern.🔎 Proposed fix
from traceloop.sdk.client.client import Client -from traceloop.sdk.associations.associations import AssociationProperty +from traceloop.sdk.associations.associations import AssociationProperty # noqa: F401Alternatively, define
__all__at module level to explicitly declare public exports.packages/traceloop-sdk/traceloop/sdk/associations/__init__.py (1)
1-7: LGTM! Clean package re-export structure.The file correctly exposes the public API for the associations module. The
__all__list is functional but could be sorted alphabetically per Ruff's RUF022 recommendation.🔎 Optional: Sort __all__ alphabetically
-__all__ = ["Associations", "AssociationProperty", "Association"] +__all__ = ["Association", "AssociationProperty", "Associations"]packages/sample-app/sample_app/chats/gemini_chatbot.py (1)
221-223: Consider narrowing the exception type.Catching bare
Exception(Ruff BLE001) can mask unexpected errors. For a sample app this may be acceptable, but consider catching more specific exceptions likegoogle.genai.errors.APIErroror similar.
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packages/sample-app/sample_app/chats/gemini_chatbot.py(1 hunks)packages/traceloop-sdk/tests/test_associations.py(1 hunks)packages/traceloop-sdk/traceloop/sdk/__init__.py(1 hunks)packages/traceloop-sdk/traceloop/sdk/associations/__init__.py(1 hunks)packages/traceloop-sdk/traceloop/sdk/associations/associations.py(1 hunks)packages/traceloop-sdk/traceloop/sdk/client/client.py(3 hunks)packages/traceloop-sdk/traceloop/sdk/tracing/tracing.py(1 hunks)
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**/*.py
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Files:
packages/traceloop-sdk/traceloop/sdk/associations/__init__.pypackages/traceloop-sdk/traceloop/sdk/client/client.pypackages/traceloop-sdk/tests/test_associations.pypackages/traceloop-sdk/traceloop/sdk/__init__.pypackages/traceloop-sdk/traceloop/sdk/associations/associations.pypackages/sample-app/sample_app/chats/gemini_chatbot.pypackages/traceloop-sdk/traceloop/sdk/tracing/tracing.py
🧠 Learnings (1)
📚 Learning: 2025-08-04T15:23:44.799Z
Learnt from: nina-kollman
Repo: traceloop/openllmetry PR: 3219
File: packages/traceloop-sdk/tests/datasets/mock_objects.py:105-106
Timestamp: 2025-08-04T15:23:44.799Z
Learning: In the traceloop-sdk project, directly accessing private attributes like _client is acceptable in test mock objects and utilities, even though it breaks encapsulation principles, because it's isolated to test code and not production code.
Applied to files:
packages/traceloop-sdk/traceloop/sdk/__init__.py
🧬 Code graph analysis (4)
packages/traceloop-sdk/traceloop/sdk/associations/__init__.py (1)
packages/traceloop-sdk/traceloop/sdk/associations/associations.py (2)
Associations(22-54)AssociationProperty(9-15)
packages/traceloop-sdk/traceloop/sdk/client/client.py (1)
packages/traceloop-sdk/traceloop/sdk/associations/associations.py (1)
Associations(22-54)
packages/traceloop-sdk/tests/test_associations.py (3)
packages/traceloop-sdk/traceloop/sdk/__init__.py (2)
Traceloop(37-268)init(49-199)packages/traceloop-sdk/traceloop/sdk/associations/associations.py (1)
AssociationProperty(9-15)packages/traceloop-sdk/traceloop/sdk/utils/in_memory_span_exporter.py (4)
export(45-51)InMemorySpanExporter(22-61)clear(35-38)get_finished_spans(40-43)
packages/traceloop-sdk/traceloop/sdk/__init__.py (1)
packages/traceloop-sdk/traceloop/sdk/associations/associations.py (1)
AssociationProperty(9-15)
🪛 Flake8 (7.3.0)
packages/traceloop-sdk/traceloop/sdk/__init__.py
[error] 34-34: 'traceloop.sdk.associations.associations.AssociationProperty' imported but unused
(F401)
🪛 Ruff (0.14.8)
packages/traceloop-sdk/traceloop/sdk/associations/__init__.py
7-7: __all__ is not sorted
Apply an isort-style sorting to __all__
(RUF022)
packages/sample-app/sample_app/chats/gemini_chatbot.py
221-221: Do not catch blind exception: Exception
(BLE001)
🔇 Additional comments (9)
packages/traceloop-sdk/traceloop/sdk/tracing/tracing.py (1)
352-356: LGTM! Association enrichment follows existing patterns.The code correctly reads associations from context and applies them as span attributes, consistent with the handling of other context values (workflow_name, agent_name, entity_path). The stringification with
str(value)ensures attribute values are safe for OpenTelemetry.packages/traceloop-sdk/traceloop/sdk/client/client.py (1)
9-9: LGTM! Clean integration of Associations into Client.The
Associationsattribute follows the existing pattern established by other client features (user_feedback, datasets, etc.), providing a consistent API surface for users to access viaclient.associations.set(...).Also applies to: 30-30, 72-72
packages/traceloop-sdk/tests/test_associations.py (4)
48-73: Test coverage for single association is well-structured.The test properly validates that associations set before workflow execution propagate to both task and workflow spans.
76-111: Good coverage for multiple associations.The test validates that all three associations propagate correctly to both span types.
114-146: Tests associations set within workflow context.This validates the important use case of setting associations mid-workflow.
149-171: Comprehensive test for all enum values.Good validation that all
AssociationPropertyenum members work correctly.packages/traceloop-sdk/traceloop/sdk/associations/associations.py (1)
22-53: Well-structured Associations class with clear API.The implementation correctly:
- Merges new associations with existing context values
- Attaches updated associations to OpenTelemetry context
- Sets attributes on the current span for immediate visibility
The docstring provides helpful usage examples.
packages/sample-app/sample_app/chats/gemini_chatbot.py (2)
53-108: Tool declarations are well-structured.The function declarations follow the Gemini API pattern correctly with proper schema definitions.
124-187: Workflow implementation demonstrates associations API effectively.The
process_messagefunction correctly uses the new associations API to attach conversation IDs to spans, providing good observability for multi-turn conversations.
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1. packages/sample-app/sample_app/chats/gemini_chatbot.py:128
- Draft comment:
Inline comment is outdated—update 'conversation_id' to 'session_id' to match the code change. - Reason this comment was not posted:
Comment was on unchanged code.
2. packages/sample-app/sample_app/chats/gemini_chatbot.py:125
- Draft comment:
Update the function docstring to reference 'session_id' instead of the outdated 'chat_id'. - Reason this comment was not posted:
Comment was on unchanged code.
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| spans = exporter.get_finished_spans() | ||
| workflow_span = spans[0] | ||
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| assert workflow_span.attributes["session_id"] == "conv-1" |
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The test sets two SESSION_ID associations ("conv-1" then "session-4"), but the implementation overwrites duplicates. Adjust the assertions to expect only the final value.
| assert workflow_span.attributes["session_id"] == "conv-1" |
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Actionable comments posted: 2
♻️ Duplicate comments (2)
packages/sample-app/sample_app/chats/gemini_chatbot.py (2)
11-11: Handle potential None from Traceloop.init().This issue was previously raised and remains unresolved. Line 129 will raise
AttributeErroriftraceloopisNone.
150-176: Add bounds checking for response access.This issue was previously raised and remains unresolved. Direct indexing of
response.candidates[0].content.parts[0]can raiseIndexErrorfor empty or malformed responses.
🧹 Nitpick comments (3)
packages/traceloop-sdk/traceloop/sdk/associations/associations.py (1)
24-53: Consider adding input validation for association values.The method doesn't validate that association values are non-empty. While OpenTelemetry context is typically thread-local (mitigating concurrency concerns), adding a simple check for empty strings could improve robustness.
🔎 Optional: Add validation for empty values
@staticmethod def set(associations: Sequence[Association]) -> None: """ Set associations that will be added directly to all spans in the current context. Args: associations: A sequence of (property, value) tuples Example: # Single association traceloop.associations.set([(AssociationProperty.SESSION_ID, "conv-123")]) # Multiple associations traceloop.associations.set([ (AssociationProperty.USER_ID, "user-456"), (AssociationProperty.SESSION_ID, "session-789") ]) """ + # Validate inputs + for prop, value in associations: + if not value or not value.strip(): + raise ValueError(f"Association value for {prop.value} cannot be empty") + # Store all associations in context current_associations: dict[str, str] = get_value(ASSOCIATIONS_KEY) or {} # type: ignore for prop, value in associations: current_associations[prop.value] = value attach(set_value(ASSOCIATIONS_KEY, current_associations)) # Also set directly on the current span span = trace.get_current_span() if span and span.is_recording(): for prop, value in associations: span.set_attribute(prop.value, value)packages/sample-app/sample_app/chats/gemini_chatbot.py (2)
138-187: Add error handling and loop safeguards to prevent infinite loops.The
while Trueloop lacks error handling for API failures and has no maximum iteration limit. If the Gemini API consistently returns malformed responses or the model gets stuck in a tool-calling loop, this could run indefinitely.🔎 Proposed safeguards
# Keep trying until we get a final response (handle tool calls) + max_iterations = 10 + iteration = 0 - while True: + while iteration < max_iterations: + iteration += 1 + # Generate content with tools - response = client.models.generate_content( - model="gemini-2.0-flash-exp", - contents=conversation_history, - config=types.GenerateContentConfig( - tools=[weather_tool, time_tool, knowledge_tool], - temperature=0.7, - ) - ) + try: + response = client.models.generate_content( + model="gemini-2.0-flash-exp", + contents=conversation_history, + config=types.GenerateContentConfig( + tools=[weather_tool, time_tool, knowledge_tool], + temperature=0.7, + ) + ) + except Exception as e: + return f"Error generating response: {e}", conversation_history # Check if the model wants to use a tool - if response.candidates[0].content.parts[0].function_call: + if (response.candidates and + response.candidates[0].content.parts and + response.candidates[0].content.parts[0].function_call): function_call = response.candidates[0].content.parts[0].function_call function_name = function_call.name function_args = dict(function_call.args) print(f"[Tool Call]: {function_name}({function_args})") # Execute the function - function_result = execute_function(function_name, function_args) + try: + function_result = execute_function(function_name, function_args) + except Exception as e: + function_result = f"Error executing function: {e}" + print(f"[Tool Result]: {function_result}") # Add the model's function call to history conversation_history.append({ "role": "model", "parts": [{"function_call": function_call}] }) # Add the function result to history conversation_history.append({ "role": "user", "parts": [{ "function_response": types.FunctionResponse( name=function_name, response={"result": function_result} ) }] }) else: # Got a text response, we're done with this turn assistant_message = response.text # Add assistant response to conversation history conversation_history.append({ "role": "model", "parts": [{"text": assistant_message}] }) return assistant_message, conversation_history + + # Max iterations reached + return "Maximum conversation turns reached. Please try rephrasing your question.", conversation_history
216-223: Consider more specific exception handling.The broad
Exceptioncatch (flagged by Ruff BLE001) is acceptable for a sample application to maintain conversation flow, but consider catching specific exceptions (e.g.,genai.APIError,ValueError) separately for better error diagnostics.🔎 Optional: More specific exception handling
# Process the message try: assistant_message, conversation_history = process_message( chat_id, user_message, conversation_history ) print(f"\nAssistant: {assistant_message}") + except (KeyError, ValueError, AttributeError) as e: + print(f"\nConfiguration Error: {e}") + print("Please check your setup and try again.") + break except Exception as e: print(f"\nError: {e}") print("Please try again.")
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🔇 Additional comments (8)
packages/traceloop-sdk/traceloop/sdk/associations/associations.py (3)
1-6: LGTM!Imports are appropriate and the constant follows Python naming conventions.
9-14: LGTM!The
str, Enuminheritance pattern enables direct string comparison and JSON serialization, which is appropriate for span attributes.
17-18: LGTM!Clean type alias definition using modern Python syntax.
packages/sample-app/sample_app/chats/gemini_chatbot.py (5)
1-8: LGTM!All necessary imports are present and properly organized.
17-49: LGTM!The tool functions are appropriately simplified for demonstration purposes. The implementations use mock data and basic logic suitable for a sample application.
52-108: LGTM!Tool declarations are correctly structured with appropriate schemas, descriptions, and required parameters matching the function implementations.
111-121: LGTM!The function routing logic is clear and handles unknown functions gracefully by returning an error message.
226-227: LGTM!Standard entry point pattern correctly implemented.
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1. packages/traceloop-sdk/tests/test_associations.py:165
- Draft comment:
The test now checks that duplicate SESSION_ID values are overwritten (last wins). Please ensure that this behavior is documented in the associations API. - Reason this comment was not posted:
Comment did not seem useful. Confidence is useful =0%<= threshold50%This comment is asking the PR author to ensure documentation, which is not allowed by the rules. It doesn't provide a specific code suggestion or ask for a specific test to be written.
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| associations = get_value("associations") | ||
| if associations is not None: | ||
| for key, value in associations.items(): | ||
| span.set_attribute(key, str(value)) |
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store in association-properties attribute
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1. packages/traceloop-sdk/tests/test_associations.py:73
- Draft comment:
Updated assertions now use the new association property key prefix (from SpanAttributes.TRACELOOP_ASSOCIATION_PROPERTIES). Consider extracting a helper for constructing these keys to reduce repetition. - Reason this comment was not posted:
Decided after close inspection that this draft comment was likely wrong and/or not actionable: usefulness confidence = 30% vs. threshold = 50% The comment is suggesting a refactor to reduce repetition, which is explicitly mentioned as a good type of comment in the rules ("Comments that suggest code quality refactors are good! But only if they are actionable and clear."). The suggestion is actionable - the author could create a helper function likedef get_association_key(property_name): return f"{SpanAttributes.TRACELOOP_ASSOCIATION_PROPERTIES}.{property_name}". The comment is about changed code (the new assertion format). However, I need to consider if this is "obvious or unimportant" - the repetition is clear, but whether it's worth refactoring in a test file is debatable. Test files often have more repetition than production code, and the current format is explicit and readable. The comment doesn't require a code change, it's more of a suggestion. This is a test file, and test files typically prioritize explicitness and readability over DRY principles. The repetition might actually make the tests clearer and easier to understand. Additionally, the comment says "Consider" which is somewhat soft and doesn't clearly require a change - this might violate the rule about not commenting unless there is clearly a code change required. While test files do allow more repetition, the pattern is repeated 15+ times in this file, which is significant. A helper function would make the tests more maintainable if the key format changes again in the future. However, the use of "Consider" does make this more of a suggestion than a required change, which could violate the rule about only commenting when a code change is clearly required. The comment suggests a reasonable refactor, but uses soft language ("Consider") that doesn't clearly require a change. Given the rule that comments should only be made when there is clearly a code change required, and considering that test file repetition is often acceptable, this comment should be deleted.
2. packages/traceloop-sdk/traceloop/sdk/associations/associations.py:39
- Draft comment:
Refactored Associations.set to convert the input to a dict and delegate to set_association_properties. This simplifies context and span updates. Ensure consumers relying on the old 'associations' key update accordingly. - Reason this comment was not posted:
Comment looked like it was already resolved.
3. packages/traceloop-sdk/traceloop/sdk/tracing/tracing.py:349
- Draft comment:
The legacy block handling 'associations' in default_span_processor_on_start has been removed in favor of using 'association_properties'. Confirm that all spans (workflow/task) now correctly receive attributes via the updated mechanism. - Reason this comment was not posted:
Comment did not seem useful. Confidence is useful =0%<= threshold50%The comment is asking the PR author to confirm that the new mechanism correctly applies attributes to all spans. This is a request for confirmation of behavior, which violates the rule against asking the author to confirm their intention or ensure behavior is intended.
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Actionable comments posted: 2
🧹 Nitpick comments (1)
packages/traceloop-sdk/traceloop/sdk/associations/associations.py (1)
22-41: Consider validating association values.The method accepts any string value without validation. Consider adding checks for empty strings or None values to ensure meaningful association data, especially since these associations will be used for tracing and debugging.
🔎 Proposed validation enhancement
# Convert associations to a dict and use set_association_properties - properties = {prop.value: value for prop, value in associations} + properties = {} + for prop, value in associations: + if not value or not value.strip(): + raise ValueError(f"Association value for {prop.value} cannot be empty") + properties[prop.value] = value set_association_properties(properties)
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.gitignorepackages/traceloop-sdk/tests/test_associations.pypackages/traceloop-sdk/traceloop/sdk/associations/associations.py
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🔇 Additional comments (4)
.gitignore (1)
184-185: LGTM!The addition of the development files ignore rule follows existing
.gitignoreconventions and is appropriately organized under a new comment section.packages/traceloop-sdk/traceloop/sdk/associations/associations.py (3)
1-3: LGTM!The imports are clean and appropriate for the module's functionality.
6-11: LGTM!The enum follows Python best practices for string enums and provides clear, standard property names for tracing associations.
14-15: LGTM!The type alias clearly defines the association structure and improves code readability.
feat(instrumentation): ...orfix(instrumentation): ....Important
Introduces
Associationsfor trace management, a Gemini-based chatbot, and tests for association propagation in Traceloop SDK.Associationsclass andAssociationPropertyenum inassociations.pyfor managing trace associations.gemini_chatbot.pywith tool-backed weather, time, and knowledge queries.test_associations.pyto verify associations are propagated as span attributes across task and workflow traces.Clientclass inclient.pyto includeAssociationsfor managing trace associations.This description was created by
for 97dd21a. You can customize this summary. It will automatically update as commits are pushed.
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