I want my agent to - launch the browser and live s...
# ask-ai
t
I want my agent to - launch the browser and live stream through livekit - is it possible?
t
Thanks for reaching out, Yashi. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
Thanks — I’m responding to your question about whether an agent can launch a browser and live stream through LiveKit. Short answer: No — an agent cannot directly launch a browser on a user’s device. Agents run server-side and don’t have control over a user’s local applications or devices. However, you can achieve the overall goal by having a browser client publish a stream to LiveKit while your agent joins the same room to process or interact with that stream. How you can set this up • Use the browser (LiveKit JavaScript SDK) to capture and publish audio/video to a LiveKit room. The browser will obtain a LiveKit access token and connect via WebRTC. • Run your agent server-side (Python, Node, Rust, etc.) and have it join the same LiveKit room as a participant. The agent can: ◦ Receive the user’s live audio/video streams for processing (transcription, analysis, AI pipelines). ◦ Publish audio/video or data back into the room (e.g., AI-generated voice, annotations, or signaling). • The agent cannot start or control the browser remotely; a client on the user’s device must initiate the browser connection. If you want, I can help with next steps: • Outline a simple architecture for browser + agent + LiveKit room. • Provide example flow using the LiveKit JS SDK (browser) and a server-side participant (Node/Python). • Suggest how to handle access tokens and room permissions. Which would you like to see next — a high-level architecture diagram, code snippets for the browser and agent, or token/permission guidance? Sources: An open source stack for real-time multimodal AI | client-sdk-unity-web | livekit/livekit_composite | DeepWiki | livekit/livekit_composite | DeepWiki
t
I don't want to launch on the user-side. I want to launch on the server - side like a remote browser
t
Thanks — I’m replying to your clarification about launching a browser on the server (a remote/browser-in-the-cloud) to live stream into LiveKit. Short answer: LiveKit Agents cannot themselves launch or control a browser instance on a remote machine. Agents run server-side and connect to LiveKit via WebRTC or SDKs, but they don’t include an embedded browser automation feature. That said, you can accomplish your goal by running a headless browser or a browser automation container on your server (or in the cloud) and having that browser act as the LiveKit client. In other words, instead of asking the LiveKit agent to open a browser, you run a separate server-side browser process that publishes to LiveKit. Typical approaches: • Headless browser + WebRTC client in Node ◦ Run a headless Chromium (Puppeteer) or Playwright process on a server. ◦ Inside that browser context use the LiveKit JavaScript client to capture/stream media (e.g., via getUserMedia replacement or by streaming generated video frames / audio). ◦ The headless browser joins the LiveKit room with a normal access token and publishes the stream. • Media pipeline / WebRTC gateway ◦ Use a server-side WebRTC client library (for example a Node, Python, or native WebRTC client) that can publish media programmatically without a real browser. The agent can run such a client to publish pre-recorded or generated media to LiveKit. ◦ This avoids needing an actual browser UI; you push audio/video frames through the WebRTC stack directly. • Browser-in-container services ◦ Run browser instances in containers (Kubernetes pods, serverless containers, or a managed headless-browser service). Each container runs the LiveKit JS client to join rooms and publish streams. Important considerations • Capturing media: Headless browsers don’t have physical cameras/microphones. You’ll need to: ◦ Inject synthetic media (canvas/video frames, prerecorded files) into the browser MediaStream, or ◦ Use virtual devices or media-emulation libraries that feed audio/video into getUserMedia. • Resource and scaling: Headless browser instances are CPU/memory intensive. Plan for scaling, orchestration, and monitoring. • Audio/video latency and encoding: Ensure your headless/browser environment can produce suitably encoded frames and maintain real-time constraints for WebRTC. • Security & tokens: Each server-side browser client still needs a valid LiveKit access token to join rooms. Manage token issuance and permissions securely. If you’d like, I can help with any of the following next steps: • A short architecture outline for either a headless-browser approach or a server-side WebRTC client approach. • Example code snippets for running LiveKit in a headless Chromium via Puppeteer (how to inject a MediaStream) or for a server-side WebRTC publisher. • Guidance on token management and scaling options. Which approach are you leaning toward — a headless browser (Puppeteer/Playwright), a pure server-side WebRTC client, or containers/orchestration for many instances?