LiveKit CLI

This package includes command line utilities that interacts with LiveKit. It allows you to:

• Create access tokens
• Access LiveKit APIs, create, delete rooms, etc
• Join a room as a participant, inspecting in-room events
• Start and manage Egress
• Perform load testing, efficiently simulating real-world load

Installation

Mac

brew install livekit-cli

Linux

curl -sSL https://get.livekit.io/cli | bash

Windows

Download the latest release here

Build from source

This repo uses Git LFS for embedded video resources. Please ensure git-lfs is installed on your machine.

git clone github.com/livekit/livekit-cli
make install

Usage

See livekit-cli --help for a complete list of subcommands.

Set up your project [new]

When a default project is set up, you can omit url, api-key, and api-secret when using the CLI. You could also set up multiple projects, and switch the active project used with the --project flag.

Adding a project

livekit-cli project add

Listing projects

livekit-cli project list

Switching defaults

livekit-cli project set-default <project-name>

Publishing to a room

Publish demo video track

To publish a demo video as a participant's track, use the following.

livekit-cli join-room --room yourroom --identity publisher \
  --publish-demo

It'll publish the video track with simulcast, at 720p, 360p, and 180p.

Publish media files

You can publish your own audio/video files. These tracks files need to be encoded in supported codecs. Refer to encoding instructions

livekit-cli join-room --room yourroom --identity publisher \
  --publish path/to/video.ivf \
  --publish path/to/audio.ogg \
  --fps 23.98

This will publish the pre-encoded ivf and ogg files to the room, indicating video FPS of 23.98. Note that the FPS only affects the video; it's important to match video framerate with the source to prevent out of sync issues.

Note: For files uploaded via CLI, expect an initial delay before the video becomes visible to the remote viewer. This delay is attributed to the pre-encoded video's fixed keyframe intervals. Video encoded with LiveKit client SDKs do not have this delay.

Publish from FFmpeg

It's possible to publish any source that FFmpeg supports (including live sources such as RTSP) by using it as a transcoder.

This is done by running FFmpeg in a separate process, encoding to a Unix socket. (not available on Windows). livekit-cli can then read transcoded data from the socket and publishing them to the room.

First run FFmpeg like this:

ffmpeg -i <video-file | rtsp://url> \
  -c:v libx264 -bsf:v h264_mp4toannexb -b:v 2M -profile:v baseline -pix_fmt yuv420p \
    -x264-params keyint=120 -max_delay 0 -bf 0 \
    -listen 1 -f h264 unix:/tmp/myvideo.sock \
  -c:a libopus -page_duration 20000 -vn \
  	-listen 1 -f opus unix:/tmp/myaudio.sock

This transcodes the input into H.264 baseline profile and Opus.

Then, run livekit-cli like this:

livekit-cli join-room --room yourroom --identity bot \
  --publish h264:///tmp/myvideo.sock \
  --publish opus:///tmp/myaudio.sock

You should now see both video and audio tracks published to the room.

Publish from TCP (i.e. gstreamer)

It's possible to publish from video streams coming over a TCP socket. livekit-cli can act as a TCP client. For example, with a gstreamer pipeline ending in ! tcpserversink port=16400 and streaming H.264.

Run livekit-cli like this:

livekit-cli join-room --room yourroom --identity bot \
  --publish h264:///127.0.0.1:16400

Publish streams from your application

Using unix sockets, it's also possible to publish streams from your application. The tracks need to be encoded into a format that WebRTC clients could playback (VP8, H.264, and Opus).

Once you are writing to the socket, you could use ffplay to test the stream.

ffplay -i unix:/tmp/myvideo.sock

Recording & egress

Recording requires egress service to be set up first.

Example request.json files are located here.

# start room composite (recording of room UI)
livekit-cli start-room-composite-egress --request request.json

# start track composite (audio + video)
livekit-cli start-track-composite-egress --request request.json

# start track egress (single audio or video track)
livekit-cli start-track-egress --request request.json

Testing egress templates

In order to speed up the development cycle of your recording templates, we provide a sub-command test-egress-template that helps you to validate your templates.

The command will spin up a few virtual publishers, and then simulate them joining your room It'll then open a browser to the template URL, with the correct parameters filled in.

Here's an example:

livekit-cli test-egress-template \
  --base-url http://localhost:3000 \
  --room <your-room> --layout <your-layout> --video-publishers 3

This command will launch a browser pointed at http://localhost:3000, while simulating 3 publishers publishing to your livekit instance.

Load Testing

Load testing utility for LiveKit. This tool is quite versatile and is able to simulate various types of load.

Note: livekit-load-tester has been renamed to sub-command livekit-cli load-test

Quickstart

This guide requires a LiveKit server instance to be set up. You can start a load tester with:

livekit-cli load-test \
  --room test-room --video-publishers 8

This simulates 8 video publishers to the room, with no subscribers. Video tracks are published with simulcast, at 720p, 360p, and 180p.

Simulating audio publishers

To test audio capabilities in your app, you can also simulate simultaneous speakers to the room.

livekit-cli load-test \
  --room test-room --audio-publishers 5

The above simulates 5 concurrent speakers, each playing back a pre-recorded audio sample at the same time. In a meeting, typically there's only one active speaker at a time, but this can be useful to test audio capabilities.

Watch the test

Generate a token so you can log into the room:

livekit-cli create-token --join \
  --room test-room --identity user  

Head over to the example web client and paste in the token, you can see the simulated tracks published by the load tester.

Running on a cloud VM

Due to bandwidth limitations of your ISP, most of us wouldn't have sufficient bandwidth to be able to simulate 100s of users download/uploading from the internet.

We recommend running the load tester from a VM on a cloud instance, where there isn't a bandwidth constraint.

To make this simple, make will generate a linux amd64 binary in bin/. You can scp the binary to a server instance and run the test there.

Configuring system settings

Prior to running the load tests, it's important to ensure file descriptor limits have been set correctly. See Performance tuning docs.

On the machine that you are running the load tester, they would also need to be applied:

ulimit -n 65535
sysctl -w fs.file-max=2097152
sysctl -w net.core.somaxconn=65535
sysctl -w net.core.rmem_max=25165824
sysctl -w net.core.wmem_max=25165824

Simulate subscribers

You can run the load tester on multiple machines, each simulating any number of publishers or subscribers.

LiveKit SFU's performance is measured by the amount of data sent to its subscribers.

Use this command to simulate a load test of 5 publishers, and 500 subscribers:

livekit-cli load-test \
  --duration 1m \
  --video-publishers 5 \
  --subscribers 500

It'll print a report like the following. (this run was performed on a 16 core, 32GB memory VM)

Summary | Tester  | Tracks    | Bitrate                 | Latency     | Total Dropped
        | Sub 0   | 10/10     | 2.2mbps                 | 78.86829ms  | 0 (0%)
        | Sub 1   | 10/10     | 2.2mbps                 | 78.796542ms | 0 (0%)
        | Sub 10  | 10/10     | 2.2mbps                 | 79.361718ms | 0 (0%)
        | Sub 100 | 10/10     | 2.2mbps                 | 79.449831ms | 0 (0%)
        | Sub 101 | 10/10     | 2.2mbps                 | 80.001104ms | 0 (0%)
        | Sub 102 | 10/10     | 2.2mbps                 | 79.833373ms | 0 (0%)
...
        | Sub 97  | 10/10     | 2.2mbps                 | 79.374331ms | 0 (0%)
        | Sub 98  | 10/10     | 2.2mbps                 | 79.418816ms | 0 (0%)
        | Sub 99  | 10/10     | 2.2mbps                 | 79.768568ms | 0 (0%)
        | Total   | 5000/5000 | 678.7mbps (1.4mbps avg) | 79.923769ms | 0 (0%)

Advanced usage

You could customize various parameters of the test such as

• --video-publishers: number of video publishers
• --audio-publishers: number of audio publishers
• --subscribers: number of subscribers
• --video-resolution: publishing video resolution. low, medium, high
• --no-simulcast: disables simulcast
• --num-per-second: number of testers to start each second
• --layout: layout to simulate (speaker, 3x3, 4x4, or 5x5)
• --simulate-speakers: randomly rotate publishers to speak

LiveKit Ecosystem
Client SDKs	Components · JavaScript · iOS/macOS · Android · Flutter · React Native · Rust · Python · Unity (web) · Unity (beta)
Server SDKs	Node.js · Golang · Ruby · Java/Kotlin · PHP (community) · Python (community)
Services	Livekit server · Egress · Ingress
Resources	Docs · Example apps · Cloud · Self-hosting · CLI