using `AgenSession`, what is the best way to handl...
# ask-ai
m
using
AgenSession
, what is the best way to handle frequent interruptions by the user? Right now, if the user says "Hello?" multiple times within a few seconds, the agent gets stuck and keeps the user in "speaking" mode
t
Thanks for reaching out, Anas. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
Thanks — I understand you’re asking how to stop an AgentSession from getting stuck in "speaking" mode when a user rapidly repeats short utterances like “Hello?”. What to try (quick, actionable fixes) • Increase
min_endpointing_delay
(e.g., 0.7–1.0s) so short pauses don’t prematurely end turns. • Raise
min_interruption_duration
(e.g., 0.6s) to ignore very brief interruptions. • Set
min_interruption_words
to 2 (or >1) so single-word interjections are ignored. • Enable a semantic turn-detection model (instead of only VAD) so the session uses language cues to decide end-of-turn. • Disable automatic resume for false interruptions or set a
false_interruption_timeout
(e.g., 2.0s) so the agent won’t immediately re-enter speaking mode on spurious inputs. Example snippet
Copy code
session = AgentSession(
  min_endpointing_delay=1.0,
  min_interruption_duration=0.6,
  min_interruption_words=2,
  resume_false_interruption=False,
  false_interruption_timeout=2.0,
  # optionally: turn_detection=MultilingualModel(), vad=...
)
Quick diagnostics I can help with • Do you have STT enabled? If not,
min_interruption_words
won’t help. • Can you share current values for these session settings or a short trace of one stuck interaction? Tell me which diagnostics you can run or share current settings and I’ll suggest tuned values for your traffic pattern. Sources: Improving voice AI's turn detection with transformers | examples/voice_agents | livekit/livekit_composite | DeepWiki | Turns overview | LiveKit docs | Agent speech and audio | LiveKit docs