Thanks — I’ll explain each part and how they work together. Acknowledging your questions: you asked about the relationship between the

turn_detection

model and

preemptive_generation=true

, whether

min_endpointing_delay

still works when using a turn-detection plugin model, and whether preemptive generation can cause playback before the user’s turn is finished. 1) Relationship between

turn_detection

model and

preemptive_generation=true

• The turn detection model (e.g., a transformer/plugin model) predicts when the user’s turn is finished using semantic context in addition to VAD/STT signals. •

preemptive_generation=true

lets the agent start LLM/TTS generation early based on partial/interim transcripts. • They complement each other: the turn detector decides when playback may occur, while preemptive generation reduces latency by preparing a response ahead of final endpointing. 2) Does

min_endpointing_delay

work with a turn-detection plugin model? • Yes.

min_endpointing_delay

still applies when a plugin turn-detection model is enabled. • The plugin outputs confidence about end-of-turn; for high confidence the system will honor the

min_endpointing_delay

(short wait), and for low confidence it can extend waiting up to

max_endpointing_delay

to avoid cutting the user off. 3) Can

preemptive_generation=true

cause playback before the user completes their turn? • No. Preemptive generation only starts generating the response early; it does not force playback while the user is still speaking. • Playback is gated by the turn detection logic. If the turn detector confirms the user is finished and the final transcript matches the partial input used for preemptive generation, the already-generated response can be played immediately. If the final transcript changes significantly, the preemptive response is discarded and a new response is generated. If you want, tell me which turn-detection model and endpointing settings you’re using (values for `min_endpointing_delay`/`max_endpointing_delay`, and whether you use aggressive preemptive generation) and I’ll suggest concrete tuning recommendations. Sources: Using a transformer to improve end of turn detection | LiveKit | Understand and Improve Agent Latency | LiveKit | examples/voice_agents | livekit/livekit_composite | DeepWiki | Agent speech and audio | LiveKit Documentation, with interactive elements