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adorable-teacher-40643

05/12/2026, 2:12 PM

@icy-policeman-64898 which are all the providers that allow prompt catching ?

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tall-airline-16756

05/12/2026, 2:12 PM

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

tall-airline-16756

05/12/2026, 2:12 PM

Thanks — I can help, but I’m not sure what you mean by “prompt catching.” Could you clarify one of the following so I can answer accurately? • Do you mean catching user prompts/messages in a chat (webhook/real-time event capture)? • Are you asking about AI/LLM providers (OpenAI, Anthropic, etc.) that support intercepting or streaming prompts/responses? • Do you mean providers for speech-to-text or voice prompt capture (e.g., Whisper, Google Speech)? • Or something else — please describe the workflow or goal you’re trying to achieve (example flow helps). Once you confirm, I’ll list the providers that support that capability and how to integrate them. , with interactive elements

adorable-teacher-40643

05/12/2026, 2:13 PM

catching user prompts/messages in a chat (webhook/real-time event capture)

tall-airline-16756

05/12/2026, 2:14 PM

Thanks — you clarified you mean catching user prompts/messages via webhook/real-time event capture. Here’s what’s supported and how to capture messages in LiveKit: • LiveKit does NOT send chat/message content via the standard webhooks (webhooks cover room and participant lifecycle like

participant_joined

track_published

room_started

, etc.). • To capture user prompts/messages in real time use the LiveKit Agents

conversation_item_added

event — it is emitted whenever a message is added and includes the message content and role (so you can filter for

user

). • Alternatively, client SDKs support chat and data channels; those deliver messages in real time but require you to implement server-side capture/forwarding if you need persistence or integrations. If you want, tell me which integration you prefer (LiveKit Agents

conversation_item_added

, client data channels, or a hybrid), and I’ll provide a short code example and steps for capturing and forwarding messages. Sources: How to Build a Background Observer for Voice AI Guardrails | LiveKit, with interactive elements

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