alert-continent-21953
12/15/2025, 6:12 AMtall-airline-16756
12/15/2025, 6:12 AMtall-airline-16756
12/15/2025, 6:13 AMalert-continent-21953
12/15/2025, 6:16 AMtall-airline-16756
12/15/2025, 6:17 AMpreemptive_generation=True and set min_endpointing_delay=0.3 / max_endpointing_delay=1.5 when configuring an AgentSession that uses the Google (Gemini) Live API. Short answer: yes.
Details you can use:
• preemptive_generation=True is supported at the session level and works with the Google Gemini Live API to start speculative LLM/TTS generation from partial/interim transcripts. Note this can increase compute if the user interrupts mid-turn.
• min_endpointing_delay=0.3 and max_endpointing_delay=1.5 are configurable session options. min_endpointing_delay shortens the wait for likely turn completion; max_endpointing_delay caps waiting when turn detection is uncertain.
• max_endpointing_delay only affects behavior when a turn detection model or detection mode is active (VAD/turn detector). If you use a custom turn detector (e.g., MultilingualModel), ensure you also configure an STT provider and disable Gemini’s automatic activity detection per the plugin guidance.
Example usage:
session = AgentSession(
llm=google.realtime.RealtimeModel(model="gemini-2.0-flash-exp", voice="Puck"),
stt="assemblyai/universal-streaming", # if overriding default VAD/STT
turn_detection=MultilingualModel(), # optional semantic detector
preemptive_generation=True,
min_endpointing_delay=0.3,
max_endpointing_delay=1.5
)
Would you like help adapting these settings to your current AgentSession code or recommendations for values given your expected user speech patterns?
Sources: Agent session | LiveKit docs | Agent speech and audio | LiveKit docs | Turn detection and interruptions | LiveKit Docs | LiveKit turn detector plugin | LiveKit docs | Gemini Live API plugin | LiveKit docs