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markbackman merged 2 commits into from
Aug 7, 2026
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docs: update for pipecat PR #5249 #1069

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890fee1
docs: add stream_idle_timeout_secs parameter to Google LLM services
github-actions[bot] Aug 7, 2026
ced97d3
chore: format with Prettier
github-actions[bot] Aug 7, 2026
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10 changes: 10 additions & 0 deletions api-reference/server/services/llm/google-vertex.mdx
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Expand Up @@ -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
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18 changes: 14 additions & 4 deletions api-reference/server/services/llm/google.mdx
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Expand Up @@ -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.
Expand Down Expand Up @@ -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")
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