Thanks — I’m responding to your question about taking periodic shots from a participant’s camera in a room without an AI agent, and whether an agent (LLM-only or otherwise) is required. Short answer: You do not need an AI agent. You can capture frames directly on the client (browser/app) from the participant’s video track at any interval. If you’d like to implement it, a common approach (web) is: 1. Subscribe to the participant’s video track and attach it to an HTMLVideoElement. 2. Create a canvas sized to the desired snapshot resolution. 3. On a timer (setInterval), wait for the video to be ready and call

canvas.getContext('2d').drawImage(video, 0, 0, w, h)

. 4. Export with

canvas.toDataURL('image/jpeg')

or

canvas.toBlob()

and then upload or process as needed. Notes and considerations: • This works for local and remote tracks as long as the track is available/subscribed. • Ensure camera permission and user consent (privacy). • No need to invite an AI agent; an LLM-only agent wouldn’t help because the capture is a client-side media operation. If you want, tell me: • Which platform/SDK you’re using (web JS, iOS, Android, Flutter), and • Whether you need example code for local or remote participant captures, and I’ll provide a concise code snippet for that platform. Sources: server-sdk-kotlin | livekit/livekit_composite | DeepWiki | client-sdk-flutter | livekit/livekit_composite | DeepWiki