pipecat-ai 0.0.85

v0.0.85

on Python PyPI

Added

• AzureSTTService now pushes interim transcriptions.

• Added voice_cloning_key to GoogleTTSService to support custom cloned voices.

• Added speaking_rate to GoogleTTSService.InputParams to control the speaking rate.

• Added a speed arg to OpenAITTSService to control the speed of the voice response.

• Added FrameProcessor.push_interruption_task_frame_and_wait(). Use this method to programatically interrupt the bot from any part of the pipeline. This guarantees that all the processors in the pipeline are interrupted in order (from upstream to downstream). Internally, this works by first pushing an InterruptionTaskFrame upstream until it reaches the pipeline task. The pipeline task then generates an InterruptionFrame, which flows downstream through all processors. Once the InterruptionFrame has reaches the processor waiting for the interruption, the function returns and execution continues after the call. Think of it as sending an upstream request for interruption and waiting until the acknowledgment flows back downstream.

• Added new base TaskFrame (which is a system frame). This is the base class for all task frames (EndTaskFrame, CancelTaskFrame, etc.) that are meant to be pushed upstream to reach the pipeline task.

• Expanded support for universal LLMContext to the AWS Bedrock LLM service. Using the universal LLMContext and associated LLMContextAggregatorPair is a pre-requisite for using LLMSwitcher to switch between LLMs at runtime.

• Added new fields to the development runner's parse_telephony_websocket method in support of providing dynamic data to a bot.

  • Twilio: Added a new body parameter, which parses the websocket message for customParameters. Provide data via the Parameter nouns in your TwiML to use this feature.
  • Telnyx & Exotel: Both providers make the to and from phone numbers available in the websocket messages. You can now access these numbers as call_data["to"] and call_data["from"].

  Note: Each telephony provider offers different features. Refer to the corresponding example in pipecat-examples to see how to pass custom data to your bot.

• Added body to the WebsocketRunnerArguments as an optional parameter. Custom body information can be passed from the server into the bot file via the bot() method using this new parameter.

• Added video streaming support to LiveKitTransport.

• Added OpenAIRealtimeLLMService and AzureRealtimeLLMService which provide access to OpenAI Realtime.

Changed

• pipeline.tests.utils.run_test() now allows passing PipelineParams instead of individual parameters.

Removed

• Remove VisionImageRawFrame in favor of context frames (LLMContextFrame or OpenAILLMContextFrame).

Deprecated

• BotInterruptionFrame is now deprecated, use InterruptionTaskFrame instead.

• StartInterruptionFrame is now deprected, use InterruptionFrame instead.

• Deprecate VisionImageFrameAggregator because VisionImageRawFrame has been removed. See the 12* examples for the new recommended replacement pattern.

• NoisereduceFilter is now deprecated and will be removed in a future version. Use other audio filters like KrispFilter or AICFilter.

• Deprecated OpenAIRealtimeBetaLLMService and AzureRealtimeBetaLLMService. Use OpenAIRealtimeLLMService and AzureRealtimeLLMService, respectively. Each service will be removed in an upcoming version, 1.0.0.

Fixed

• Fixed a BaseOutputTransport issue that caused incorrect detection of when the bot stopped talking while using an audio mixer.

• Fixed a LiveKitTransport issue where RTVI messages were not properly encoded.

• Add additional fixups to Mistral context messages to ensure they meet Mistral-specific requirements, avoiding Mistral "invalid request" errors.

• Fixed DailyTransport transcription handling to gracefully handle missing rawResponse field in transcription messages, preventing KeyError crashes.