When a user takes their time to share a lot of context, here are some friendly tips to make sure everything flows smoothly: • Turn Detection: Try out LiveKit's turn detector plugin—it’s pretty clever at guessing when someone still has more to say, even if they pause for a moment. This way, the agent waits patiently for them to finish. • Disable Interruptions: You can set

allow_interruptions=False

so the agent won’t jump in while the user is still talking. • Custom Logic: If you want, you can build your own logic to spot when a user is sharing detailed info and pause the agent’s responses accordingly. • Manual Control: There are also ways to manually pause and resume the agent whenever you feel it’s right. • Adjust Endpointing Delays: Tweaking the

min_endpointing_delay

parameter can give the agent a bit more time to wait before responding, which helps with natural pauses in conversation. The turn detector plugin is especially handy here because it really helps the conversation feel more natural and aware. If you want, I’d be happy to walk you through how to set up any of these options—just let me know! Sources: livekit-agents/livekit/agents/voice/agent_activity.py | Improving voice AI's turn detection with transformers | LiveKit turn detector plugin | LiveKit Docs | VoicePipelineAgent | LiveKit Docs | basics/interrupts_user.py