Even with semantic turn detection (MultilingualMod...
# ask-ai
m
Even with semantic turn detection (MultilingualModel()) being used, still my voice agent interrupts the user as it is thinking. How can I make it so it will wait longer before declaring the turn complete?
t
Thanks for reaching out, Alexander. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
I'm happy to help you with making your voice agent wait a bit longer before it decides a turn is complete. You can do this by adjusting the
min_endpointing_delay
and
max_endpointing_delay
parameters in the
AgentSession
configuration. These settings help control how long the system pauses before ending a user's turn, based on what the turn detection model outputs. Here's a little example to illustrate:
Copy code
session = AgentSession(
    turn_detection=MultilingualModel(),
    min_endpointing_delay=0.5,  # Short delay when turn is likely complete
    max_endpointing_delay=5.0,  # Long delay when turn completion is unlikely
)
By increasing the
max_endpointing_delay
, your system will patiently wait longer when it's unsure if the turn is finished. Feel free to tweak these values so they fit your specific needs perfectly. Sources: livekit-plugins/livekit-plugins-turn-detector/livekit/plugins/turn_detector... | plugins/livekit/src/turn_detector/base.ts | agent.py