diff --git a/README.md b/README.md
index 06e8383..d25d0b3 100644
--- a/README.md
+++ b/README.md
@@ -28,6 +28,7 @@ Illustrates:
 
 - An injected demo showing how any Spring component can be injected with an Embabel `Ai` instance to enable it to
   perform LLM operations.
+- A configuration bean demonstrating how to integrate OpenAI-compatible models (Gemini) with conditional loading based on environment variables.
 - A simple agent
 - Unit tests for an agent verifying prompts and hyperparameters
 
@@ -55,6 +56,8 @@ Try the `InjectedDemo` command to see simple, non-agent use:
 animal
 ```
 
+The `GeminiOpenAIModels` configuration demonstrates how to integrate Google's Gemini models using OpenAI's compatible API interface. This configuration registers two Gemini models (`gemini-2.0-flash` and `gemini-2.5-flash`) as LLM beans that can be used throughout your Embabel agents. The configuration is conditionally loaded only when the `GEMINI_API_KEY` environment variable is present, showcasing how to implement optional model providers that don't interfere with your application when credentials aren't available.
+
 ## A2A Support
 
 Embabel integrates with the [A2A](https://github.com/google-a2a/A2A) protocol, allowing you to connect to other
diff --git a/src/main/java/com/embabel/template/models/GeminiOpenAIModels.java b/src/main/java/com/embabel/template/models/GeminiOpenAIModels.java
new file mode 100644
index 0000000..18a1e02
--- /dev/null
+++ b/src/main/java/com/embabel/template/models/GeminiOpenAIModels.java
@@ -0,0 +1,87 @@
+package com.embabel.template.models;
+
+import com.embabel.agent.config.models.OpenAiChatOptionsConverter;
+import com.embabel.common.ai.model.Llm;
+import com.embabel.common.ai.prompt.CurrentDate;
+import io.micrometer.observation.ObservationRegistry;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+import org.springframework.ai.openai.OpenAiChatModel;
+import org.springframework.ai.openai.OpenAiChatOptions;
+import org.springframework.ai.openai.api.OpenAiApi;
+import org.springframework.ai.retry.RetryUtils;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+
+import java.time.LocalDate;
+import java.util.List;
+
+@Configuration
+@ConditionalOnProperty("GEMINI_API_KEY")
+public class GeminiOpenAIModels {
+    static final Logger logger = LoggerFactory.getLogger(GeminiOpenAIModels.class);
+
+    private static final String GEMINI_2_5_FLASH = "gemini-2.5-flash";
+    private static final String GEMINI_2_0_FLASH = "gemini-2.0-flash";
+    private static final String GEMINI_PROVIDER = "Google";
+
+    @Value("${GEMINI_API_KEY}")
+    private String geminiApiKey;
+    @Value("${GEMINI_BASE_URL:https://generativelanguage.googleapis.com/v1beta/openai}")
+    private String baseUrl;
+    @Value("${GEMINI_CHAT_COMPLETIONS:/chat/completions}")
+    private String completionsPath;
+    @Value("${GEMINI_EMBEDDINGS:/embeddings}")
+    private String embeddingsPath;
+    @Autowired
+    private ObservationRegistry observationRegistry;
+
+    private OpenAiApi openAiApi() {
+        return OpenAiApi.builder()
+                .baseUrl(baseUrl)
+                .apiKey(geminiApiKey)
+                .completionsPath(completionsPath)
+                .embeddingsPath(embeddingsPath)
+                .build();
+    }
+
+    private OpenAiChatModel chatModelOf(String model) {
+        return OpenAiChatModel.builder()
+                .openAiApi(openAiApi())
+                .retryTemplate(RetryUtils.DEFAULT_RETRY_TEMPLATE)
+                .defaultOptions(
+                        OpenAiChatOptions.
+                                builder()
+                                .model(model)
+                                .build())
+                .observationRegistry(observationRegistry)
+                .build();
+    }
+
+    @Bean
+    public Llm gemini_2_0_flash() {
+        logger.info("Registering Gemini Open AI compatible model: {}", GEMINI_2_0_FLASH);
+        return new Llm(GEMINI_2_0_FLASH,
+                GEMINI_PROVIDER,
+                chatModelOf(GEMINI_2_0_FLASH),
+                OpenAiChatOptionsConverter.INSTANCE,
+                LocalDate.now(),
+                List.of(new CurrentDate()),
+                null);
+    }
+
+    @Bean
+    public Llm gemini_2_5_flash() {
+        logger.info("Registering Gemini Open AI compatible model: {}", GEMINI_2_5_FLASH);
+        return new Llm(GEMINI_2_5_FLASH,
+                GEMINI_PROVIDER,
+                chatModelOf(GEMINI_2_5_FLASH),
+                OpenAiChatOptionsConverter.INSTANCE,
+                LocalDate.now(),
+                List.of(new CurrentDate()),
+                null);
+    }
+}
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