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t
Thanks for reaching out, Aditya. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
I don't see a question or details in your message. How can I help you today? • If you're reporting an issue, please include: the SDK or platform (Web/iOS/Android), room or participant IDs, a brief description of what happened, and any error messages or logs. • If you want setup guidance, tell me which SDK and what you're trying to achieve (join a room, publish audio/video, data messages, etc.).
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can we use _preemptive_generation=True in google live api setup in agent session.. like i want to know whether we can use preemptive_generation=True if we are setting up llm with google live api.. also following parameters_ _min_endpointing_delay=0.3_ _max_endpointing_delay=1.5_
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You're asking whether you can use
preemptive_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:
Copy code
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