thankful-machine-24027
07/14/2025, 4:15 AMtall-airline-16756
07/14/2025, 4:15 AMtall-airline-16756
07/14/2025, 4:16 AMmin_endpointing_delay
parameter is designed to be configured only at the start of a session and cannot be updated during an active session using a tool or runtime method. All available sources show this parameter is set at session initialization and remains fixed for the entire lifecycle of that session.
If you require different min_endpointing_delay
values during a call, the recommended approach is to create a new session with the desired parameter. There are no current APIs or runtime methods to change this value dynamically during a session.
Sources: Turn detection and interruptions | LiveKit Docs | How does end-of-utterance detection work in conversations? | tests/test_agent_session.py | agent.py | complex-agents/ivr-agent/agent.pythankful-machine-24027
07/14/2025, 4:18 AMtall-airline-16756
07/14/2025, 4:19 AMmin_interruption_words
(Python) or interruptMinWords
(Node.js) to 3–5 words. This way, the system won't cut you off just because you've said a single letter.
• Let people speak naturally: Adjust min_interruption_duration
(Python) or interruptSpeechDuration
(Node.js) to 1.0–1.5 seconds. Think of it like giving someone a moment to breathe while they're talking.
• Be patient with pauses: Bump up min_endpointing_delay
and max_endpointing_delay
to give users time for those natural breaks we all make when spelling something out.
• Hit pause on interruptions: If it works for your workflow, you can even turn off interruptions completely when someone's sharing their email.
Here's a quick Python example to help you out:
session = AgentSession(
min_interruption_words=3, # Require at least 3 words
min_interruption_duration=1.0, # Require 1 second of speech
min_endpointing_delay=1.0, # Wait 1 second before ending turn
max_endpointing_delay=8.0, # Allow up to 8 seconds for completion
)
By tweaking these settings, you'll create a much smoother experience that feels more like a friendly conversation and less like a rushed interaction. Trust me, your users will appreciate the extra breathing room!
Sources: tests/test_agent_session.py | How does end-of-utterance detection work in conversations? | Configuring turn detection and interruptions | LiveKit Docs | Turn detection and interruptions | LiveKit Docs | packages/basics/src/uninterruptable.ts