many-forest-60185
12/17/2025, 4:24 AMtall-airline-16756
12/17/2025, 4:24 AMtall-airline-16756
12/17/2025, 4:24 AMmin_endpointing_delay for non-telephony systems.
Recommended value: 0.5 seconds (500 ms).
Why: it balances responsiveness and natural conversation flow when using VAD-only setups (like Silero VAD). Lower than 500 ms risks premature cutoffs; higher makes the agent feel slow.
Tip: for even fewer interruptions, pair this with the livekit-plugins-turn-detector (transformer-based turn detector) — it uses semantic cues to extend endpointing when needed while keeping min_endpointing_delay as a baseline. Would you like guidance on tuning this for faster responses or fewer false endpoints?
Sources: examples/frontdesk | livekit/livekit_composite | DeepWiki | How does end-of-utterance detection work in conversations? | examples/voice_agents | livekit/livekit_composite | DeepWiki | Improving voice AI's turn detection with transformers | LiveKit turn detector plugin | LiveKit docsmany-forest-60185
12/17/2025, 4:25 AMtall-airline-16756
12/17/2025, 4:26 AMmin_silence_duration around 0.55s and combine it with the livekit-plugins-turn-detector (transformer-based) to reduce interruptions while allowing shorter silence thresholds.
Would you like a suggested test plan or sample values to A/B test in your app?
Sources: How does end-of-utterance detection work in conversations? | Silero VAD plugin | LiveKit docs | Agents Framework | livekit/livekit_composite | DeepWiki | Agents (Python) | livekit/livekit_composite | DeepWiki | Improving voice AI's turn detection with transformers