How to update _`min_endpointing_delay` during a se...
# ask-ai
t
How to update _`min_endpointing_delay` during a session through a tool?_
t
Thanks for reaching out, Juan. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
The
min_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.py
t
How to avoid the agent from interrupting the user whenever they are spelling their emails
t
Hey there! Let's talk about how we can make your agent more user-friendly when someone's spelling out their email. I know how frustrating it can be when a system keeps jumping in and interrupting you mid-sentence. • Give more space before interrupting: Try setting
min_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:
Copy code
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