Add on_start support to VoiceWorkflowBase and VoicePipeline #922
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I added an optional
on_start()method toVoiceWorkflowBase, allowing voice workflows to emit an initial TTS message before any user input. This aligns with the usage pattern suggested in #488The
VoicePipeline._run_multi_turn()method was updated to call this hook and stream any yielded messages via TTS before transcription begins. No changes are required to existing workflows, as the method defaults to returning an emptyAsyncIterator[str].Resolves #488 and thus improves UX for voice agents that need to greet or instruct users proactively. All tests pass under Python 3.12. Let me know if you'd like an example workflow or docs added in a follow-up!