pipecat-ai 0.0.72

v0.0.72

on Python PyPI

Added

• Added logging and improved error handling to help diagnose and prevent potential Pipeline freezes.

• Added WatchdogQueue, WatchdogPriorityQueue, WatchdogEvent and WatchdogAsyncIterator. These helper utilities reset watchdog timers appropriately before they expire. When watchdog timers are disabled, the utilities behave as standard counterparts without side effects.

• Introduce task watchdog timers. Watchdog timers are used to detect if a Pipecat task is taking longer than expected (by default 5 seconds). Watchdog timers are disabled by default and can be enabled globally by passing enable_watchdog_timers argument to PipelineTask constructor. It is possible to change the default watchdog timer timeout by using the watchdog_timeout argument. You can also log how long it takes to reset the watchdog timers which is done with the enable_watchdog_logging. You can control all these settings per each frame processor or even per task. That is, you can set enable_watchdog_timers, enable_watchdog_logging and watchdog_timeout when creating any frame processor through their constructor arguments or when you create a task with FrameProcessor.create_task(). Note that watchdog timers only work with Pipecat tasks and will not work if you use asycio.create_task() or similar.

• Added lexicon_names parameter to AWSPollyTTSService.InputParams.

• Added reconnection logic and audio buffer management to GladiaSTTService.

• The TurnTrackingObserver now ends a turn upon observing an EndFrame or CancelFrame.

• Added Polish support to AWSTranscribeSTTService.

• Added new frames FrameProcessorPauseFrame and FrameProcessorResumeFrame which allow pausing and resuming frame processing for a given frame processor. These are control frames, so they are ordered. Pausing frame processor will keep old frames in the internal queues until resume takes place. Frames being pushed while a frame processor is paused will be pushed to the queues. When frame processing is resumed all queued frames will be processed in order. Also added FrameProcessorPauseUrgentFrame and FrameProcessorResumeUrgentFrame which are system frames and therefore they have high priority.

• Added a property called has_function_calls_in_progress in LLMAssistantContextAggregator that exposes whether a function call is in progress.

• Added SambaNovaLLMService which provides llm api integration with an OpenAI-compatible interface.

• Added SambaNovaTTSService which provides speech-to-text functionality using SambaNovas's (whisper) API.

• Add fundational examples for function calling and transcription 14s-function-calling-sambanova.py, 13g-sambanova-transcription.py

Changed

• HeartbeatFrames are now control frames. This will make it easier to detect pipeline freezes. Previously, heartbeat frames were system frames which meant they were not get queued with other frames, making it difficult to detect pipeline stalls.

• Updated OpenAIRealtimeBetaLLMService to accept language in the InputAudioTranscription class for all models.

• Updated the default model for OpenAIRealtimeBetaLLMService to gpt-4o-realtime-preview-2025-06-03.

• The PipelineParams arg allow_interruptions now defaults to True.

• TavusTransport and TavusVideoService now send audio to Tavus using WebRTC audio tracks instead of app-messages over WebSocket. This should improve the overall audio quality.

• Upgraded daily-python to 0.19.3.

Fixed

• Fixed an issue that would cause heartbeat frames to be sent before processors were started.

• Fixed an event loop blocking issue when using SentryMetrics.

• Fixed an issue in FastAPIWebsocketClient to ensure proper disconnection when the websocket is already closed.

• Fixed an issue where the UserStoppedSpeakingFrame was not received if the transport was not receiving new audio frames.

• Fixed an edge case where if the user interrupted the bot but no new aggregation was received, the bot would not resume speaking.

• Fixed an issue with TelnyxFrameSerializer where it would throw an exception when the user hung up the call.

• Fixed an issue with ElevenLabsTTSService where the context was not being closed.

• Fixed function calling in AWSNovaSonicLLMService.

• Fixed an issue that would cause multiple PipelineTask.on_idle_timeout events to be triggered repeatedly.

• Fixed an issue that was causing user and bot speech to not be synchronized during recordings.

• Fixed an issue where voice settings weren't applied to ElevenLabsTTSService.

• Fixed an issue with GroqTTSService where it was not properly parsing the WAV file header.

• Fixed an issue with GoogleSTTService where it was constantly reconnecting before starting to receive audio from the user.

• Fixed an issue where GoogleLLMService's TTFB value was incorrect.

Deprecated

• AudioBufferProcessor parameter user_continuos_stream is deprecated.

Other

• Rename 14e-function-calling-gemini.py to 14e-function-calling-google.py.