docs: clarify Azure Realtime GA endpoint configuration

docs/realtime/guide.md

@@ -199,3 +199,17 @@ This gives you direct access to the [`RealtimeModel`][agents.realtime.model.Real
 ## Examples
 
 For complete working examples, check out the [examples/realtime directory](https://github.com/openai/openai-agents-python/tree/main/examples/realtime) which includes demos with and without UI components.
+
+## Azure OpenAI endpoint format
+
+When connecting to Azure OpenAI, use the GA Realtime endpoint format and pass credentials via
+headers in `model_config`:
+
+```python
+model_config = {
+    "url": "wss://<your-resource>.openai.azure.com/openai/v1/realtime?model=<deployment-name>",
+    "headers": {"api-key": "<your-azure-api-key>"},
+}
+```
+
+For token-based auth, use `{"authorization": f"Bearer {token}"}` in `headers`.

docs/realtime/quickstart.md

@@ -226,3 +226,31 @@ Or pass it directly when creating the session:
 ```python
 session = await runner.run(model_config={"api_key": "your-api-key"})
 ```
+
+## Azure OpenAI endpoint format
+
+If you connect to Azure OpenAI instead of OpenAI's default endpoint, pass a GA Realtime URL in
+`model_config["url"]` and set auth headers explicitly.
+
+```python
+session = await runner.run(
+    model_config={
+        "url": "wss://<your-resource>.openai.azure.com/openai/v1/realtime?model=<deployment-name>",
+        "headers": {"api-key": "<your-azure-api-key>"},
+    }
+)
+```
+
+You can also use a bearer token:
+
+```python
+session = await runner.run(
+    model_config={
+        "url": "wss://<your-resource>.openai.azure.com/openai/v1/realtime?model=<deployment-name>",
+        "headers": {"authorization": f"Bearer {token}"},
+    }
+)
+```
+
+Avoid using the legacy beta path (`/openai/realtime?api-version=...`) with realtime agents. The
+SDK expects the GA Realtime interface.