jolly-eve-3916
08/02/2025, 2:43 AMpython
session = AgentSession(
_stt_=deepgram.STT(
_model_="nova",
_interim_results_=False,
_endpointing_ms_=4000,
_punctuate_=True,
_smart_format_=True
),
_tts_=deepgram.TTS(_model_="aura"),
_vad_=silero.VAD.load(),
_turn_detection_=MultilingualModel(),
_allow_interruptions_=False,
_min_interruption_duration_=0.5,
_min_endpointing_delay_=4.0,
_max_endpointing_delay_=120.0
)
## Questions
1. Hybrid Mode Support: Is it possible to support both VAD and PTT modes in the same agent deployment? For example, could we:
- Check room metadata or participant metadata on connection
- Dynamically set turn_detection="manual" vs MultilingualModel() based on user preference
- Or do we need separate agent deployments for each mode?
2. Graceful Degradation: If we set turn_detection="manual" but the client doesn't implement the RPC methods (start_turn, end_turn), what happens? Does it fall back to any default behavior or will the agent simply not receive any audio?
3. Audio Input Control Scope: When using room.set_audio_input_enabled(False) in PTT mode:
- Does this only affect the agent's ability to receive audio from that specific participant?
- Or does it affect the entire room's audio configuration?
- How does this interact with multiple participants in the same room?
4. Transcript Handling in PTT:
- In the PTT example, commit_user_turn(transcript_timeout=3) is used. What happens if the STT service hasn't returned a final transcript within this timeout?
- Is the partial transcript used, or does it wait indefinitely?
- How should we handle cases where users release the button mid-word?
5. State Management:
- If a user is mid-sentence and accidentally releases the PTT button, then presses it again quickly, how can we ensure continuity in the conversation context?
- Should we implement a "grace period" where releasing the button briefly doesn't end the turn?
6. Implementation Architecture:
- Can we change turn detection mode after session.start() has been called?
- Or must this be decided at session initialization time?
7. Client-Side Requirements:
- Are there any specific client SDK versions required for PTT support?
- Any example implementations for React Native/Expo clients?
Any guidance on best practices for implementing PTT alongside our existing VAD setup would be greatly appreciated!
Thank you,tall-airline-16756
08/02/2025, 2:43 AMtall-airline-16756
08/02/2025, 2:45 AMturn_detection parameter based on user preferences. For example, use turn_detection="manual" for PTT and turn_detection="MultilingualModel()" for VAD. Switching modes dynamically requires reinitializing the session.
2. Graceful Degradation: If turn_detection="manual" is set but the client does not implement the required RPC methods (start_turn and end_turn), the agent will not receive audio or process user turns. Implementing these methods is essential for PTT functionality.
3. Audio Input Control Scope: Using room.set_audio_input_enabled(False) affects only the specific participant's audio input in the session, not the entire room. This ensures that other participants remain unaffected.
4. Transcript Handling in PTT: If the STT service does not return a final transcript within the transcript_timeout, the interim transcript (if available) will be used to commit the user turn. This ensures the process continues without indefinite waiting.
5. State Management: To ensure continuity when a user releases the PTT button mid-sentence and presses it again quickly, configure appropriate min_endpointing_delay and max_endpointing_delay. This allows brief pauses without ending the turn prematurely.
6. Implementation Architecture: Turn detection mode must be decided at session initialization and cannot be changed after session.start() has been called. To switch modes, a new session must be created.
7. Client-Side Requirements: For React Native/Expo clients, use @livekit/react-native version 2.6.2 or higher and @livekit/react-native-webrtc version 125.0.8 or higher. Example implementations for React Native/Expo are available to guide your setup.
Let me know if you need further clarification or assistance with any specific aspect of the implementation!
Sources: examples/voice_agents/push_to_talk.py | examples/voice_agents/realtime_joke_teller.py | Speech & Audio Processing | livekit/livekit_composite | DeepWiki | livekit-agents/livekit/agents/voice/agent_activity.py | VoicePipelineAgent | LiveKit Docs