thick temple
We’re building a multi-participant voice agent using ElevenLabs Conversational AI, and continue to face a challenge in natural group conversations:
When a participant pauses to think or reflect, the agent often jumps in too quickly—cutting them off before they’ve truly finished.
This is especially common when someone says something like "Hmm... let me think about that."
We’ve tried using turn_timeout: -1 and other configuration options, but we still experience the agent jumping in prematurely.
It appears that the agent isn’t yet reliably distinguishing between a thoughtful pause and a completed turn.
On our call, @uneven yoke I think you mentioned that a new turn-taking model leveraging contextual cues (beyond just VAD) was rolling out in early May, alongside multi-speaker diarization.
What is the status of these updates?
Have others here found effective prompt strategies, configuration settings, or workflow hacks to better handle these types of turn-taking sensitivity issues?