pipecat-ai/pipecat v0.0.76

on GitHub

Added

• Added SpeechControlParamsFrame, a new SystemFrame that notifies
  downstream processors of the VAD and Turn analyzer params. This frame is
  pushed by the BaseInputTransport at Start and any time a
  VADParamsUpdateFrame is received.

Changed

• Two package dependencies have been updated:
  • numpy now supports 1.26.0 and newer
  • transformers now supports 4.48.0 and newer

Fixed

• Fixed an issue with RTVI's handling of append-to-context.

• Fixed an issue where using audio input with a sample rate requiring resampling
  could result in empty audio being passed to STT services, causing errors.

• Fixed the VAD analyzer to process the full audio buffer as long as it contains
  more than the minimum required bytes per iteration, instead of only analyzing
  the first chunk.

• Fixed an issue in ParallelPipeline that caused errors when attempting to drain
  the queues.

• Fixed an issue with emulated VAD timeout inconsistency in
  LLMUserContextAggregator. Previously, emulated VAD scenarios (where
  transcription is received without VAD detection) used a hardcoded
  aggregation_timeout (default 0.5s) instead of matching the VAD's
  stop_secs parameter (default 0.8s). This created different user experiences
  between real VAD and emulated VAD scenarios. Now, emulated VAD timeouts
  automatically synchronize with the VAD's stop_secs parameter.

• Fixed a pipeline freeze when using AWS Nova Sonic, which would occur if the
  user started early, while the bot was still working through
  trigger_assistant_response().