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v0.0.90

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@aconchillo aconchillo released this 10 Oct 17:24
· 400 commits to main since this release
v0.0.90
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Learn about vigilant mode.

Added

  • Added audio filter KrispVivaFilter using the Krisp VIVA SDK.

  • Added --folder argument to the runner, allowing files saved in that folder to be downloaded from http://HOST:PORT/file/FILE.

  • Added GeminiLiveVertexLLMService, for accessing Gemini Live via Google Vertex AI.

  • Added some new configuration options to GeminiLiveLLMService:

    • thinking
    • enable_affective_dialog
    • proactivity

    Note that these new configuration options require using a newer model than the default, like "gemini-2.5-flash-native-audio-preview-09-2025". The last two require specifying http_options=HttpOptions(api_version="v1alpha").

  • Added on_pipeline_error event to PipelineTask. This event will get fired when an ErrorFrame is pushed (use FrameProcessor.push_error()).

    @task.event_handler("on_pipeline_error")
async def on_pipeline_error(task: PipelineTask, frame: ErrorFrame):
    ...

  • Added a service_tier InputParam to the BaseOpenAILLMService. This parameter can influence the latency of the response. For example "priority" will result in faster completions, but in exchange for a higher price.

Changed

  • Updated GeminiLiveLLMService to use the google-genai library rather than use WebSockets directly.

Deprecated

  • LivekitFrameSerializer is now deprecated. Use LiveKitTransport instead.

  • pipecat.service.openai_realtime is now deprecated, use pipecat.services.openai.realtime instead or pipecat.services.azure.realtime for Azure Realtime.

  • pipecat.service.aws_nova_sonic is now deprecated, use pipecat.services.aws.nova_sonic instead.

  • GeminiMultimodalLiveLLMService is now deprecated, use GeminiLiveLLMService.

Fixed

  • Fixed a GoogleVertexLLMService issue that would generate an error if no token information was returned.

  • GeminiLiveLLMService will now end gracefully (i.e. after the bot has finished) upon receiving an EndFrame.

  • GeminiLiveLLMService will try to seamlessly reconnect when it loses its connection.

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