kind-postman-17041
09/18/2025, 10:42 PMtall-airline-16756
09/18/2025, 10:42 PMtall-airline-16756
09/18/2025, 10:43 PMmin_interruption_duration is set?
• Are there any particular logs or error messages you've noticed?
• What behavior were you expecting, and how does it differ from what you're seeing now?kind-postman-17041
09/18/2025, 10:44 PMtall-airline-16756
09/18/2025, 10:44 PMmin_interruption_duration setting in the AgentSession controls the minimum speech length (in seconds) needed for a user's interruption to be recognized. If you’re noticing interruptions happening with shorter speech, don’t worry—here are some common reasons and helpful steps to check:
• Verify Turn Detection Mode: Make sure your turn_detection mode actually supports interruptions. If you’re using a realtime_llm with built-in turn detection, it might override these settings.
• Check VAD Configuration: Voice Activity Detection (VAD) settings like min_silence_duration and min_speech_duration play a big role in detecting speech. Double-check that these thresholds match what you’re aiming for.
• Validate Agent State: Interruptions only work when the agent is actively speaking and allow_interruptions is set to True.
• Review STT Integration: If you’re using min_interruption_words, ensure your Speech-to-Text (STT) system is set up correctly and providing quick, accurate transcriptions.
To help diagnose the issue, you might try:
• Logging VAD events like onStartOfSpeech and onEndOfSpeech to see how speech is being detected.
• Checking that the agent’s state changes to "speaking" before interruptions are accepted.
• Testing with clear values for `min_interruption_duration`—for example, setting it to 0.1 just to see how it behaves.
If you try these and still run into trouble, please reach out! I’m here to help you work through it and find a solution together.
Sources: Silero VAD plugin | LiveKit Docs | Turn detection and interruptions | LiveKit Docs | livekit-agents/livekit/agents/voice/agent.py | agents/src/voice/agent_activity.tskind-postman-17041
09/18/2025, 10:46 PMtall-airline-16756
09/18/2025, 10:46 PMMultilingualModel) in your turn detection setup along with Deepgram's STT? Knowing this will really help us figure out if the EOU model’s logic might be influencing the interruption timing. I’m here to help you through this!
Sources: Turn detection and interruptions | LiveKit Docs | tests/test_agent_session.pykind-postman-17041
09/18/2025, 10:47 PMtall-airline-16756
09/18/2025, 10:48 PMMultilingualModel for EOU detection. I want to share a bit about how the EOU model works—it dynamically adjusts the endpointing delay based on the meaning of the speech, which can sometimes override or delay the VAD-based interruption trigger. So, even if your min_interruption_duration is set to 10 seconds, the EOU model might still influence when interruptions happen based on its understanding of the speech content.
Here are a few steps that might help:
• Make sure the actual user speech duration is longer than the min_interruption_duration threshold.
• Try testing with a simpler turn detection mode, like VAD-only, to see if the EOU model is affecting the behavior.
• Take a look at the EOU model's settings to see if tweaking them could better match your interruption needs.
If you keep running into issues or want a hand fine-tuning the setup, please don’t hesitate to reach out. I’m here to help, and we can work through more troubleshooting steps together.