even when i set min_interruption_duration to 10, i...
# ask-ai
k
even when i set min_interruption_duration to 10, it is still interrupting on short uterrances. whats going on?
t
Thanks for reaching out, Ethan. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
I'd love to help you out! Could you please share a bit more about your setup? Specifically: • Which LiveKit feature or API are you using where
min_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?
k
if it is set to 10, I would expect to have to talk for 10 seconds before the agent gets interrupted i am talking about min_interruption_duration on the AgentSession
t
The
min_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.ts
k
i am using eou as turn_detectino, i also have VAD with min silence duration 0.25 and min speech duration 0.05 allow interruptions is set to true, and i am using deepgram with endpointing_ms set to 25
t
Thank you so much for sharing those details! Just to make sure I fully understand, are you using a custom EOU model (like
MultilingualModel
) 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.py
k
yes multilingualmodel
t
Thank you so much for confirming that you're using the
MultilingualModel
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.