turn_detection: reduce max_endpointing_delay to 3s #3640
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davidzhao
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* staging: (114 commits) Added min_confidence_threshold for deepgram flux. livekit-agents 1.2.15 (livekit#3658) fix livekit#3650 cartesia version backward compatibility (livekit#3651) Unprompted STT Reconnection at startup (livekit#3649) enable zero retention mode in elevenlabs (livekit#3647) fix: heartbeat (livekit#3648) feat: Integrate streaming endpoints for Sarvam APIs (livekit#3498) turn_detection: reduce max_endpointing_delay to 3s (livekit#3640) fix: exclude temperature parameter for gpt-5 and similar models (livekit#3573) add backwards compatibility for google's realtime model (livekit#3630) Align Google STT plugin with official documentation (livekit#3628) feat(speechmatics): add max_speakers parameter for speaker diarization (livekit#3524) fix(deepgram): send CloseStream message before closing TTS WebSocket (livekit#3608) chore: Remove duplicate docstring for `preemptive_generation` parameter in AgentSession (livekit#3624) Add RTZR(ReturnZero) STT Plugin for LiveKit Agents (livekit#3376) feat(telemetry/utils): add ttft reporting to LangFuse (livekit#3594) catch delete_room errors and disable delete_room_on_close by default (livekit#3600) lift google realtime api out of beta (livekit#3614) fix: lock pyav to <16 due to build issue (livekit#3593) Updating Cartesia Version (livekit#3570) ...
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Reducing max_endpointing_delay to 3s. This is based on some analysis that suggests intra-utterance pauses are typically << 6s. I have two datasets: (i) audio of call center / customer service calls, that has p95 for mid-turn pause of 2.5s, and (ii) audio of two channel conversations with p95 for mid-turn pause of 1.4s