Use CustomVideoSource/CustomVideoTrack for the default camera output instead of
VirtualCameraDevice, mirroring how audio already uses CustomAudioSource/CustomAudioTrack.
Add support for custom video destinations (register_video_destination, add/remove
custom video tracks, routing in write_video_frame) so multiple video tracks can be
published simultaneously.
* Add system_instruction parameter to run_inference
Allow callers to provide a custom system instruction directly when calling
run_inference, without having to construct provider-specific context objects.
For OpenAI, the instruction is prepended as a system message (preserving
existing messages). For Anthropic, Google, and AWS Bedrock, it overrides the
single system field with a warning when an existing system instruction is
present in the context.
* Use system_instruction parameter in _generate_summary
Pass the summarization prompt via run_inference's system_instruction
parameter instead of embedding it as a system message in the context.
* Add changelog for #3968
Constructor/settings system_instruction now takes priority over the
context system message. Previously the context value would overwrite
the constructor value on every call. Warn when both are set.
After interruption, both _playing_context_id and _turn_context_id are
None. If a subclass calls append_to_audio_context(None, frame), the
recovery path matches (None == None) and creates a bogus audio context
that blocks the handler from ever processing the real context.
Early-return when context_id is falsy to prevent this.
The Deepgram TTS service was bypassing pipecats audio context management
system, pushing audio frames directly via push_frame() instead of routing
them through append_to_audio_context(). This caused stale audio to leak
into the pipeline after interruptions and missed ordered playback
guarantees.
- Route audio frames through append_to_audio_context() with context
availability checks to discard stale post-interruption frames
- Handle Flushed responses by appending TTSStoppedFrame and removing
the audio context to signal completion
- Replace _handle_interruption override with on_audio_context_interrupted
hook (the recommended pattern used by ElevenLabs and Cartesia)
- Remove redundant process_frame override that caused double-flush
(base class already flushes via on_turn_context_completed)
- Remove redundant start_tts_usage_metrics call (base class handles
aggregated usage metrics)
Make `region` optional so users can provide only `private_endpoint`.
Raise ValueError if neither is provided, and warn if both are given
(private_endpoint takes priority).
SpeechConfig does not accept both `region` and `endpoint` simultaneously —
they are mutually exclusive. The previous code always passed both, which
raises ValueError when a user supplies a private_endpoint URL. Now we
conditionally pass either `endpoint` or `region`, never both.
Update the tests in test_integration_unified_function_calling.py to not specify particular models but instead just use service defaults (the tests shouldn't be model-dependent anyway)
