agent should speak again if user has not spoken anything for 5 seconds

Thanks for reaching out, aditi. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.

i dont want such manual approach, i want to leverage turn detection parameters here.

Thanks — I understand you want the agent to re‑speak after 5 seconds of silence using LiveKit’s turn detection (not a manual timer). Quick clarifying question: which SDK or language are you using so I can give the exact config/code? (Options: JavaScript/Node, Python, or the Agents YAML/JSON config.) Sources: Turns overview | LiveKit Documentation | examples/voice_agents | livekit/livekit_composite | DeepWiki | LiveKit turn detector plugin | LiveKit Documentation | How does end-of-utterance detection work in conversations?, with interactive elements

python, i am using VAD + turn_detection=MultilingualModel(),

Thanks — I’ll show how to use VAD +

MultilingualModel

turn detection and set endpointing so the agent treats ~5s of silence as a turn end and can respond. Example Python snippet (adjust names to your codebase):

from livekit import AgentSession, TurnHandlingOptions, MultilingualModel
import silero.vad as silero_vad

# load VAD
vad = silero_vad.VAD.load()

session = AgentSession(
    vad=vad,
    turn_handling=TurnHandlingOptions(
        turn_detection=MultilingualModel(),  # your multilingual turn detector
        endpointing={
            "min_delay": 5.0,   # treat high-confidence end as 5s
            "max_delay": 5.0,   # treat low-confidence end as 5s
        },
    ),
    # ... other config: stt, tts, llm, callbacks, etc.
)

# Start session as you normally would. When turn detection signals end-of-turn
# after ~5s of silence, the agent can automatically call session.say() or invoke
# your response handler to speak again.

Notes: • Setting both

min_delay

and

max_delay

to 5.0 makes endpointing trigger around 5s regardless of confidence. • Keep

vad

enabled so silence is detected locally;

MultilingualModel()

provides semantic turn detection. • If you want the agent prompt to allow interruption, use

session.say("...", allow_interruptions=True)

in your response handler. Do you want a full example showing the handler that calls

session.say()

when the turn ends? , with interactive elements

what is the difference between this 'min_delay' and 'min_endpointing_delay' in AgentSession

Thanks — I’ll clarify the difference. •

min_delay

◦ Lives inside

TurnHandlingOptions.endpointing

(used with

MultilingualModel

, STT, or custom turn detectors). ◦ Controls the minimum seconds the turn detector will wait after detected end-of-speech before treating the user’s turn as finished. ◦ In Python this can participate in dynamic endpointing (the detector may adapt timing but will not go below

min_delay

). Use this when you’re running

turn_detection=MultilingualModel()

. •

min_endpointing_delay

◦ A legacy/global-style setting used in older or simpler VAD-only setups. ◦ Also expresses a minimum post-speech delay, but it’s not part of the modern

TurnHandlingOptions

API and is commonly used with plain VAD/fallback endpointing. ◦ It behaves like the older

min/max_endpointing_delay

pair (defaults ~0.5s / 6.0s). Practical guidance for your setup (Python, VAD + MultilingualModel): • Use

endpointing={"min_delay": 5.0, "max_delay": 5.0}

inside

TurnHandlingOptions

to make the MultilingualModel treat ~5s of silence as turn end. • Note: these parameters control when the user’s turn is considered finished. They do not by themselves make the agent proactively speak after silence — they simply let the agent conclude the user turn after ~5s, at which point your agent logic can respond (e.g., call

session.say(...)

). Would you like a short Python snippet showing

TurnHandlingOptions

with

min_delay=5.0

and a sample turn-end handler that invokes

session.say()

? Sources: LiveKit turn detector plugin | LiveKit Documentation | How does end-of-utterance detection work in conversations? | examples/voice_agents | livekit/livekit_composite | DeepWiki | Agent session | LiveKit Documentation, with interactive elements