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

To stream a video with an Agent using LiveKit, you can utilize the

VideoStream

class to handle video frames. Since you're working with

agent-js

, you can follow these steps: 1. Subscribe to Video Tracks: Ensure your agent is subscribed to the video tracks you want to stream. This can be done by listening to the

track_subscribed

event and handling the video track accordingly. 2. Capture Video Frames: Use the

VideoStream

class to capture frames from the video track. You can create a

VideoStream

from a track using the

from_track

method. 3. Stream Video: Once you have the video frames, you can process and stream them as needed. If you need to convert frames to a specific format, ensure you handle the conversion appropriately. For more detailed guidance, you can refer to the LiveKit VideoStream documentation. Would you like more detailed steps or a code example? Sources: - LiveKit VideoStream documentation 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@millions-hair-24956 write a dummy example code how how an agent can stream demo.mp4 file

It seems likely that to stream a video file like

demo.mp4

using an agent in LiveKit, you would need to read the video file, extract frames, and then publish these frames to a LiveKit room. Here's a basic example using Python, as the data sources do not provide a direct example for JavaScript:

import cv2
import asyncio
from livekit import rtc

async def stream_video_file(room: rtc.Room, video_file: str):
    # Open the video file
    cap = cv2.VideoCapture(video_file)
    
    # Check if the video file opened successfully
    if not cap.isOpened():
        print("Error: Could not open video file.")
        return

    # Loop through the video frames
    while cap.isOpened():
        ret, frame = cap.read()
        if not ret:
            break

        # Convert the frame to the format required by LiveKit
        # This step may involve resizing or reformatting the frame
        # For simplicity, assume frame is already in the correct format

        # Publish the frame to the room
        # You would need to implement the logic to convert the frame to a VideoFrame
        # and publish it using LiveKit's APIs

        await asyncio.sleep(1/30)  # Assuming 30 FPS

    cap.release()

# Example usage
# room = ...  # Assume you have a connected LiveKit room
# asyncio.run(stream_video_file(room, 'demo.mp4'))

This example uses OpenCV to read frames from a video file and assumes you have a connected LiveKit room. You would need to implement the logic to convert the OpenCV frame to a format that LiveKit can publish. Would you like more detailed guidance on any specific part of this process? Sources: - https://docs.livekit.io/home/cli-setup/ - https://docs.livekit.io/home/cli/cli-setup/ 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

@millions-hair-24956 what streaming definition can i use? and what maximum fps?

To define streaming parameters in LiveKit, you can use the

VideoEncoding

interface, which allows you to set properties like

maxBitrate

and

maxFramerate

. The maximum frames per second (FPS) you can set depends on the specific video encoding settings and the capabilities of the client and network. For example, in the LiveKit JS Client SDK, you can specify the

maxFramerate

property to control the FPS. The specific maximum FPS you can achieve will depend on the encoding settings and the performance of the devices involved. Would you like more detailed information on setting these parameters? Sources: - LiveKit JS Client SDK VideoEncoding 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.