diff --git a/api-reference/server/services/llm/google-vertex.mdx b/api-reference/server/services/llm/google-vertex.mdx
index c1deb075..f6b83379 100644
--- a/api-reference/server/services/llm/google-vertex.mdx
+++ b/api-reference/server/services/llm/google-vertex.mdx
@@ -124,6 +124,16 @@ Before using Google Vertex AI LLM services, you need:
   HTTP options for the Google AI client.
 </ParamField>
 
+<ParamField path="stream_idle_timeout_secs" type="float | None" default="20.0">
+  How long to wait for the next chunk of a streamed response before giving up on
+  it. Bounds the wait when the API accepts a request and then stops producing
+  without closing the stream. This is a gap between chunks, not a limit on how
+  long a response may take overall. The first chunk is the slowest, since its
+  wait spans the whole round trip including any thinking the model does before
+  it emits anything; raise this for models configured to think at length. Set to
+  `None` to wait indefinitely. Inherited from `GoogleLLMService`.
+</ParamField>
+
 ## Usage
 
 ### Basic Setup
diff --git a/api-reference/server/services/llm/google.mdx b/api-reference/server/services/llm/google.mdx
index 520823a9..260861f5 100644
--- a/api-reference/server/services/llm/google.mdx
+++ b/api-reference/server/services/llm/google.mdx
@@ -100,6 +100,16 @@ Before using Google Gemini LLM services, you need:
   HTTP options for the Google API client.
 </ParamField>
 
+<ParamField path="stream_idle_timeout_secs" type="float | None" default="20.0">
+  How long to wait for the next chunk of a streamed response before giving up on
+  it. Bounds the wait when the API accepts a request and then stops producing
+  without closing the stream. This is a gap between chunks, not a limit on how
+  long a response may take overall. The first chunk is the slowest, since its
+  wait spans the whole round trip including any thinking the model does before
+  it emits anything; raise this for models configured to think at length. Set to
+  `None` to wait indefinitely.
+</ParamField>
+
 ### Settings
 
 Runtime-configurable settings passed via the `settings` constructor argument using `GoogleLLMService.Settings(...)`. These can be updated mid-conversation with `LLMUpdateSettingsFrame`. See [Service Settings](/pipecat/fundamentals/service-settings) for details.
@@ -272,10 +282,10 @@ await worker.queue_frame(
 
 `GoogleLLMService` supports the following event handlers, inherited from [LLMService](/api-reference/server/events/service-events):
 
-| Event                       | Description                                                                 |
-| --------------------------- | --------------------------------------------------------------------------- |
-| `on_completion_timeout`     | Called when an LLM completion request times out (Google `DeadlineExceeded`) |
-| `on_function_calls_started` | Called when function calls are received and execution is about to start     |
+| Event                       | Description                                                                                                |
+| --------------------------- | ---------------------------------------------------------------------------------------------------------- |
+| `on_completion_timeout`     | Called when an LLM completion request times out (Google `DeadlineExceeded` or stream idle timeout reached) |
+| `on_function_calls_started` | Called when function calls are received and execution is about to start                                    |
 
 ```python
 @llm.event_handler("on_completion_timeout")