I am using "await self.session.say" how do I delay the TTS output while allowing the user to speak and interrupt?

Thanks for reaching out, Prathamesh. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.

The agent is currently not adhering to instruction and system prompt, and starts to hallucinate and speak to itself. How to solve this ?

You're asking how to stop the agent from hallucinating, speaking to itself, and ignoring the system prompt. Helpful steps you can take now to diagnose and fix it — and a couple quick questions so I can narrow recommendations. 1) Check and tighten the system prompt • Make the role, allowed actions, and turn-taking rules explicit and short. Example instruction to add: "Only respond to human user input. Never respond to your own speech or produce internal monologue." • Put strict negative constraints too: "Do not speculate. If you don't know, say 'I don't know'." 2) Ensure the agent ignores its own audio • Configure turn-detection/participant filtering so audio from agent participants is not treated as user input (only standard human participants trigger turns). • Confirm VAD/source labels so the agent doesn't interpret its TTS playback as incoming speech. 3) Validate and sanitize LLM output before playback • Intercept LLM responses and filter out chain-of-thought, self-references, or meta commentary before calling TTS. • Example: drop fragments containing "I think", "internal", or similar patterns; require final answer format. 4) Use interruption and playback controls • Keep

allow_interruptions=True

so humans can cut off inappropriate speech. • If the agent loops, allow shorter utterances and require explicit user prompts to continue. 5) Reduce false triggers from echoes/noise • Enable noise cancellation and echo-suppression on room inputs so the agent doesn't hear echoes of its own TTS. • Tune VAD thresholds to avoid brief artifacts being treated as user speech. 6) Test with targeted scenarios • Create short test scripts where the human is silent after speaking, and where the human interrupts mid-speech, to confirm correct turn-taking and interruption behavior. • Record sessions to inspect what the agent hears vs. what it speaks. Quick questions so I can give concrete code/config examples: • Can you paste your current system prompt (redact sensitive data)? • How is your session/room configured for participant kinds or VAD? (a short snippet or settings helps) • Do you see the agent reacting to audio labeled as AGENT or to its own local playback? If you share those, I’ll give exact config/code changes to stop self-talk and reduce hallucinations. Sources: examples/drive-thru | livekit/livekit_composite | DeepWiki | How to Enable Agent-to-Agent Speech Detection in LiveKit | Agents (Node.js) | livekit/livekit_composite | DeepWiki | Modifying LLM output before TTS | LiveKit docs | Testing and evaluation | LiveKit docs