@millions-hair-24956 i am using javascript. Where can I find the documentation related to livekit.rtc especially Videoframe?

It seems likely that the documentation for

livekit.rtc

and specifically for

VideoFrame

can be found in the LiveKit Python SDK documentation. However, this documentation is for the Python SDK, and you mentioned using JavaScript. The JavaScript SDK documentation does not explicitly mention

VideoFrame

in the provided data sources. Would you like more details on how to work with video frames in the JavaScript SDK, or do you have any other specific questions related to LiveKit's JavaScript SDK? Sources: - LiveKit Python SDK documentation 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@millions-hair-24956 yes i would like to have more details on how to work with video frames in javascript SDK

My understanding is that working with video frames in the LiveKit JavaScript SDK involves handling video tracks and using the SDK's methods to manage these tracks. The JavaScript SDK does not provide direct access to video frames like the Python SDK does, but you can work with video tracks using the

RemoteVideoTrack

class. Here's a basic example of how you can handle video tracks in JavaScript: 1. Subscribe to Video Tracks: When a participant subscribes to a video track, you can handle it using the

TrackSubscribed

event. 2. Attach Video Track: Use the

attach()

method to attach the video track to an HTML video element for rendering. 3. Adaptive Streaming: Enable adaptive streaming to optimize video quality based on the size and visibility of the video element. Here's a code snippet demonstrating these steps:

import { connect, RoomEvent } from 'livekit-client';

async function joinRoom(url, token) {
  const room = await connect(url, token, { autoSubscribe: true });

  room.on(RoomEvent.TrackSubscribed, (track, publication, participant) => {
    if (track.kind === 'video') {
      const videoElement = track.attach();
      document.body.appendChild(videoElement);
    }
  });

  room.on(RoomEvent.TrackUnsubscribed, (track) => {
    track.detach().forEach(element => element.remove());
  });
}

joinRoom('ws://your_livekit_server', 'your_access_token');

This example shows how to connect to a room, subscribe to video tracks, and render them in the browser. If you need more advanced control over video frames, such as processing or analyzing them, you might need to explore additional libraries or custom solutions. Would you like more detailed guidance on any specific aspect of handling video tracks in LiveKit's JavaScript SDK? Sources: - https://docs.livekit.io/client-sdk-js/classes/RemoteVideoTrack.html 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@millions-hair-24956 if i want to build an AI agent in Python and stream a video fetched by the agent to the frontend. What livekit components shoult I use: Livekit Agent Livekit Python SDK... What else? What should be responsible for what?

To build an AI agent in Python that streams video to the frontend using LiveKit, you should consider the following components: 1. LiveKit Agents Framework: This is essential for building programmable AI agents. It allows you to create agents that can handle video, audio, and data streams. The agent will be responsible for processing video data and interacting with the LiveKit network. 2. LiveKit Python SDK: Use this SDK to implement the backend logic of your AI agent. It will help you manage connections, handle media tracks, and interact with the LiveKit server. 3. LiveKit Room: This is the core component where participants (including your AI agent) connect to exchange media. The room acts as a bridge between your agent and the frontend. 4. Frontend Application: Use LiveKit's JavaScript SDK to build the frontend application. This will handle the connection to the LiveKit room and render the video stream from the agent. Responsibilities: - AI Agent (Python): Connects to the LiveKit room, processes video data, and publishes video tracks to the room. - LiveKit Room: Manages the session and facilitates media exchange between participants. - Frontend Application: Connects to the LiveKit room, subscribes to the video track published by the agent, and renders it in the browser. Would you like more detailed guidance on setting up any of these components? Sources: - Agents Overview - Anatomy of an Agent 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@millions-hair-24956 how to publish a videotrack with livekit agent?

To publish a video track with a LiveKit agent, you can use the LiveKit Python SDK to create and publish a video track from your agent. Here's a basic outline of the steps involved: 1. Create a Video Track: Use the LiveKit Python SDK to create a video track. You can use a video source like a camera or a pre-recorded video file. 2. Connect to a Room: Your agent needs to connect to a LiveKit room where it will publish the video track. 3. Publish the Video Track: Once connected, use the

publishTrack

method to publish the video track to the room. Here's a simplified example in Python:

from livekit import rtc

async def publish_video_track(room_url, token):
    # Connect to the room
    room = await rtc.connect(room_url, token)

    # Create a local video track (e.g., from a camera or file)
    video_track = rtc.LocalVideoTrack.create_video_track("video")

    # Publish the video track to the room
    await room.local_participant.publish_track(video_track)

    # Keep the connection alive
    await asyncio.Future()  # Run indefinitely

# Example usage
await publish_video_track('ws://your_livekit_server', 'your_access_token')

This example demonstrates how to connect to a room and publish a video track. You can customize the video source and other parameters as needed. Would you like more detailed guidance on any specific part of this process? Sources: - https://docs.livekit.io/client-sdk-flutter/livekit_client/LocalParticipant/publishVideoTrack.html#source - https://docs.livekit.io/client-sdk-js/#md%3Ahandling-common-track-types 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@millions-hair-24956 create a pseudocode examples of how i could create an Ai agent that shows a video on the livekit playground

It seems likely that creating an AI agent to show a video on the LiveKit Playground involves setting up the agent to connect to a LiveKit room and publish a video track. Here's a pseudocode example to illustrate the process:

1. Initialize Environment:
   - Load environment variables for LiveKit API key, secret, and server URL.

2. Define Agent Entrypoint:
   - Create an entrypoint function that will be called when the agent starts.

3. Connect to LiveKit Room:
   - Use LiveKit Python SDK to connect to a room using a generated access token.

4. Create Video Track:
   - Initialize a video source (e.g., from a file or camera).
   - Create a LocalVideoTrack using the video source.

5. Publish Video Track:
   - Publish the LocalVideoTrack to the room.

6. Handle Room Events:
   - Listen for events such as participant connections and disconnections.

7. Keep Connection Alive:
   - Run an event loop to keep the connection active.

8. Shutdown Handling:
   - Gracefully handle shutdown signals to disconnect from the room.

Pseudocode Example:

function main():
    load_environment_variables()
    token = generate_access_token(room_name, participant_identity)
    room = connect_to_livekit_room(server_url, token)

    video_source = initialize_video_source("path/to/video.mp4")
    video_track = create_local_video_track(video_source)

    room.local_participant.publish_track(video_track)

    on_event("participant_connected", handle_participant_connected)
    on_event("participant_disconnected", handle_participant_disconnected)

    keep_connection_alive()

    on_shutdown(handle_shutdown)

main()

This pseudocode outlines the steps to create an AI agent that connects to a LiveKit room and publishes a video track. You can adapt this to your specific requirements and integrate it with the LiveKit Playground for testing. Would you like more detailed guidance on implementing any specific part of this pseudocode? Sources: - https://docs.livekit.io/agents/overview/#How-to-create-an-agent - https://docs.livekit.io/agents/openai Note: I wasn’t able to find highly relevant data sources, but above are a few potentially relevant links. 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@millions-hair-24956 can you provide me the equivalent of this in javascript? async def get_video_track(room: rtc.Room): """Find and return the first available remote video track in the room.""" for participant_id, participant in room.remote_participants.items(): for track_id, track_publication in participant.track_publications.items(): if track_publication.track and isinstance( track_publication.track, rtc.RemoteVideoTrack ): logger.info( f"Found video track {track_publication.track.sid} " f"from participant {participant_id}" ) return track_publication.track raise ValueError("No remote video track found in the room")

I'm not able to find any data sources to answer your question. You might want to specify the context in which you are using the JavaScript SDK, such as the environment (Node.js or browser) and any specific libraries or frameworks you are using. If this doesn't help, please reach out to the Livekit support team for further assistance. 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@millions-hair-24956 how can I stream a video with an Agent. I'm already able to stream a frame using livekitvideoframe I'm working with agents-js

Sure thing! I'm looking through the available data to answer your question. Hold on a second... ⏳