i am building agent that asks users questions and listens to their responses. Currently, the agent tends to interrupt users before they've finished speaking. I'd like to increase the silence timeout duration to ensure the agent waits longer before assuming the user has completed their answer.

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

iam using session = AgentSession[SessionData]( userdata=userdata, stt=stt, llm=llm, # The main agent's TTS will be used initially # Each agent will set its own TTS when activated vad=vad )

Let's talk about customizing your

AgentSession

! You've got some cool options to control how your agent detects when you're done speaking. By using the

min_endpointing_delay

parameter (and optionally

max_endpointing_delay

), you can fine-tune the silence threshold to make conversations feel more natural.

session = AgentSession(
    vad=vad,
    min_endpointing_delay=1.0,  # for a 1-second silence threshold
    max_endpointing_delay=6.0   # optional, controls maximum wait time
)

Think of it like this: if you want fewer interruptions, try bumping up

min_endpointing_delay

to around 1.0 seconds. It's like giving yourself a bit more breathing room in the conversation. The

max_endpointing_delay

adds another layer of control, so you can really dial in the perfect flow. Pro tip: If you're using a custom voice activity detection (VAD) approach, just make sure these settings match the vibe you want – considering things like background noise and your specific communication style. Sources: agent.py | Configuring turn detection and interruptions | LiveKit Docs | livekit-agents/livekit/agents/voice/audio_recognition.py | How does end-of-utterance detection work in conversations? | VoicePipelineAgent | LiveKit Docs | AI voice agents | LiveKit Docs | VoicePipelineAgent | LiveKit Docs | LiveKit turn detector plugin | LiveKit Docs