docs: Adds Gemini example to OpenAI-compat section (#2915)

docs/learn/llm-connections.mdx

@@ -117,18 +117,27 @@ You can connect to OpenAI-compatible LLMs using either environment variables or
 <Tabs>
     <Tab title="Using Environment Variables">
         <CodeGroup>
-        ```python Code
+        ```python Generic
         import os
 
         os.environ["OPENAI_API_KEY"] = "your-api-key"
         os.environ["OPENAI_API_BASE"] = "https://api.your-provider.com/v1"
         os.environ["OPENAI_MODEL_NAME"] = "your-model-name"
         ```
+
+        ```python Google
+        import os
+
+        # Example using Gemini's OpenAI-compatible API.
+        os.environ["OPENAI_API_KEY"] = "your-gemini-key"  # Should start with AIza...
+        os.environ["OPENAI_API_BASE"] = "https://generativelanguage.googleapis.com/v1beta/openai/"
+        os.environ["OPENAI_MODEL_NAME"] = "openai/gemini-2.0-flash"  # Add your Gemini model here, under openai/
+        ```
         </CodeGroup>
     </Tab>
     <Tab title="Using LLM Class Attributes">
         <CodeGroup>
-            ```python Code
+            ```python Generic
             llm = LLM(
                 model="custom-model-name",
                 api_key="your-api-key",
@@ -136,6 +145,16 @@ You can connect to OpenAI-compatible LLMs using either environment variables or
             )
             agent = Agent(llm=llm, ...)
             ```
+
+            ```python Google
+            # Example using Gemini's OpenAI-compatible API
+            llm = LLM(
+                model="openai/gemini-2.0-flash",
+                base_url="https://generativelanguage.googleapis.com/v1beta/openai/",
+                api_key="your-gemini-key",  # Should start with AIza...
+            )
+            agent = Agent(llm=llm, ...)
+            ```
         </CodeGroup>
     </Tab>
 </Tabs>