chore(deps): bump pipecat-ai from 0.0.54 to 0.0.94

[dependabot]

Bumps pipecat-ai from 0.0.54 to 0.0.94.

Release notes

Sourced from pipecat-ai's releases.

v0.0.94

Deprecated

• The KrispFilter is deprecated and will be removed in a future version. Use the KrispVivaFilter instead.

Removed

• LivekitFrameSerializer has been removed. Use LiveKitTransport instead.

Fixed

• Fixed a bug related to LLMAssistantAggregator where spaces were sometimes missing from assistant messages in context.

v0.0.93

Added

• Added support for Sarvam Speech-to-Text service (SarvamSTTService) with streaming WebSocket support for saarika (STT) and saaras (STT-translate) models.

• Added support for passing in a ToolsSchema in lieu of a list of provider- specific dicts when initializing OpenAIRealtimeLLMService or when updating it using LLMUpdateSettingsFrame.

• Added TransportParams.audio_out_silence_secs, which specifies how many seconds of silence to output when an EndFrame reaches the output transport. This can help ensure that all audio data is fully delivered to clients.

• Added new FrameProcessor.broadcast_frame() method. This will push two instances of a given frame class, one upstream and the other downstream.

  await self.broadcast_frame(UserSpeakingFrame)

• Added MetricsLogObserver for logging performance metrics from MetricsFrame instances. Supports filtering via include_metrics parameter to control which metrics types are logged (TTFB, processing time, LLM token usage, TTS usage, smart turn metrics).

• Added pronunciation_dictionary_locators to ElevenLabsTTSService and ElevenLabsHttpTTSService.

• Added support for loading external observers. You can now register custom pipeline observers by setting the PIPECAT_OBSERVER_FILES environment variable. This variable should contain a colon-separated list of Python files (e.g. export PIPECAT_OBSERVER_FILES="observer1.py:observer2.py:..."). Each file must define a function with the following signature:

  async def create_observers(task: PipelineTask) -> Iterable[BaseObserver]:
      ...

• Added support for new sonic-3 languages in CartesiaTTSService and CartesiaHttpTTSService.

• EndFrame and EndTaskFrame have an optional reason field to indicate why the pipeline is being ended.

• CancelFrame and CancelTaskFrame have an optional reason field to indicate why the pipeline is being canceled. This can be also specified when you cancel a task with PipelineTask.cancel(reason="cancellation reason").

• Added include_prob_metrics parameter to Whisper STT services to enable access to probability metrics from transcription results.

• Added utility functions extract_whisper_probability(), extract_openai_gpt4o_probability(), and extract_deepgram_probability() to extract probability metrics from TranscriptionFrame objects for Whisper-based, OpenAI GPT-4o-transcribe, and Deepgram STT services respectively.

• Added LLMSwitcher.register_direct_function(). It works much like LLMSwitcher.register_function() in that it's a shorthand for registering functions on all LLMs in the switcher, but for direct functions.

... (truncated)

Changelog

Sourced from pipecat-ai's changelog.

[0.0.94] - 2025-11-10

Changed

• Added support for retrying SpeechmaticsTTSService when it returns a 503 error. Default values in InputParams.

Deprecated

• The KrispFilter is deprecated and will be removed in a future version. Use the KrispVivaFilter instead.

Removed

• LivekitFrameSerializer has been removed. Use LiveKitTransport instead.

Fixed

• Fixed a bug related to LLMAssistantAggregator where spaces were sometimes missing from assistant messages in context.

[0.0.93] - 2025-11-07

Added

• Added support for Sarvam Speech-to-Text service (SarvamSTTService) with streaming WebSocket support for saarika (STT) and saaras (STT-translate) models.

• Added support for passing in a ToolsSchema in lieu of a list of provider- specific dicts when initializing OpenAIRealtimeLLMService or when updating it using LLMUpdateSettingsFrame.

• Added TransportParams.audio_out_silence_secs, which specifies how many seconds of silence to output when an EndFrame reaches the output transport. This can help ensure that all audio data is fully delivered to clients.

• Added new FrameProcessor.broadcast_frame() method. This will push two instances of a given frame class, one upstream and the other downstream.

  await self.broadcast_frame(UserSpeakingFrame)

• Added MetricsLogObserver for logging performance metrics from MetricsFrame instances. Supports filtering via include_metrics parameter to control which metrics types are logged (TTFB, processing time, LLM token usage, TTS usage, smart turn metrics).

... (truncated)

Commits

• 54e8d29 Merge pull request #3022 from pipecat-ai/mb/changelog-0.0.94
• ee49491 Prep for 0.0.94 hotfix
• aa8a50b Merge pull request #3015 from pipecat-ai/mb/deprecate-krisp
• 20857ac Merge pull request #3010 from pipecat-ai/mb/gemini-live-ar-xa
• 421a1b5 Merge pull request #3021 from pipecat-ai/mb/add-sarvam-stt-readme
• 8dd45af Deprecate KrispFilter
• 66c9032 Merge pull request #3020 from pipecat-ai/pk/make-explicit-adding-spaces-when-...
• 588dcf2 Add Sarvam STT to README list
• 9131948 Make the mechanism of adding spaces when concatenating TTS (or speech-to-spee...
• c2ce143 Merge pull request #3017 from pipecat-ai/vp-rm-livekit-serializer
• Additional commits viewable in compare view

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