Interruption handling in your setup may not be working due to configuration conflicts or missing components. Here are the key areas to check: • RealtimeModel Turn Detection: If the RealtimeModel has server-side turn detection enabled, it overrides local turn detection settings. Ensure you configure

turn_detection="realtime_llm"

to rely on the model's native detection or disable server-side detection in the model. • VAD Configuration: If VAD is not set and interruptions are enabled, the system may warn and fail to handle interruptions. Ensure VAD is properly initialized. • STT and Turn Detector: If using a turn detector model, you must provide a separate STT plugin. Verify that your STT is correctly configured and compatible. • Interruption Parameters: Check that parameters like

min_interruption_duration

and

min_interruption_words

are set appropriately for your use case. • Audio Input: Ensure audio frames are being forwarded to the recognition system and that

session.input.audio

is properly configured. Review your logs for warnings about turn detection or VAD issues, and adjust your configuration accordingly. Let me know if you need further assistance with any specific part of this setup. Sources: livekit-agents/livekit/agents/voice/audio_recognition.py | Realtime model integrations | LiveKit Docs | Configuring turn detection and interruptions | LiveKit Docs