You can configure LiveKit to use VAD for interruption detection while leveraging the Turn Detection model for turn end detection. This setup allows you to handle interruptions effectively with VAD while using the Turn Detection model for accurate end-of-turn detection. Here’s how you can achieve this: • Configure VAD for interruption detection: Set up VAD to detect when a user is speaking and handle interruptions. VAD is effective for real-time detection of speech activity. • Enable the Turn Detection model for turn end detection: Use the Turn Detection model to determine when a user has finished speaking. This model uses both audio and contextual information to decide turn endings. Below is an example configuration:

from livekit.plugins.turn_detector.multilingual import MultilingualModel
from livekit.plugins import silero

session = AgentSession(
    turn_detection=MultilingualModel(),  # Uses Turn Detection model
    vad=silero.VAD.load(),  # Configures VAD for interruption detection
    # ... other configurations (stt, llm, etc.)
)

This approach ensures that VAD is used for interruption detection while the Turn Detection model handles turn end detection. Let me know if you need further assistance!