-
-
-[](https://pypi.org/project/livekit/)
-
-# 📹🎙️🐍 Python SDK for LiveKit
-
+
+
+[](https://pypi.org/project/livekit/)
+[](https://pypi.org/project/livekit-api/)
+
+# 📹🎙️🐍 Python SDK for LiveKit
+
-Use this SDK to add real-time video, audio and data features to your Python app. By connecting to a self- or cloud-hosted LiveKit server, you can quickly build applications like interactive live streaming or video calls with just a few lines of code.
-
-
-This repo contains two packages
-
-- [livekit](https://pypi.org/project/livekit/): Real-time SDK for connecting to LiveKit as a participant
-- [livekit-api](https://pypi.org/project/livekit-api/): Access token generation and server APIs
-
-## Using Server API
-
-```shell
-$ pip install livekit-api
-```
-
-### Generating an access token
-
-```python
-from livekit import api
-import os
-
-# will automatically use the LIVEKIT_API_KEY and LIVEKIT_API_SECRET env vars
-token = api.AccessToken() \
- .with_identity("python-bot") \
- .with_name("Python Bot") \
- .with_grants(api.VideoGrants(
- room_join=True,
- room="my-room",
- )).to_jwt()
-```
-
-### Creating a room
-
-RoomService uses asyncio and aiohttp to make API calls. It needs to be used with an event loop.
-
-```python
-from livekit import api
-import asyncio
-
-async def main():
- lkapi = api.LiveKitAPI(
- 'http://localhost:7880',
- )
- room_info = await lkapi.room.create_room(
- api.CreateRoomRequest(name="my-room"),
- )
- print(room_info)
- results = await lkapi.room.list_rooms(api.ListRoomsRequest())
- print(results)
- await lkapi.aclose()
-
-asyncio.get_event_loop().run_until_complete(main())
-```
-
-## Using Real-time SDK
-
-```shell
-$ pip install livekit
-```
-
-### Connecting to a room
-
-```python
-from livekit import rtc
-
-async def main():
- room = rtc.Room()
-
- @room.on("participant_connected")
- def on_participant_connected(participant: rtc.RemoteParticipant):
- logging.info(
- "participant connected: %s %s", participant.sid, participant.identity)
-
- async def receive_frames(stream: rtc.VideoStream):
- async for frame in video_stream:
- # received a video frame from the track, process it here
- pass
-
- # track_subscribed is emitted whenever the local participant is subscribed to a new track
- @room.on("track_subscribed")
- def on_track_subscribed(track: rtc.Track, publication: rtc.RemoteTrackPublication, participant: rtc.RemoteParticipant):
- logging.info("track subscribed: %s", publication.sid)
- if track.kind == rtc.TrackKind.KIND_VIDEO:
- video_stream = rtc.VideoStream(track)
- asyncio.ensure_future(receive_frames(video_stream))
-
- # By default, autosubscribe is enabled. The participant will be subscribed to
- # all published tracks in the room
- await room.connect(URL, TOKEN)
- logging.info("connected to room %s", room.name)
-
- # participants and tracks that are already available in the room
- # participant_connected and track_published events will *not* be emitted for them
- for participant in room.participants.items():
- for publication in participant.tracks.items():
- print("track publication: %s", publication.sid)
-```
-
-## Examples
-
-- [Facelandmark](https://github.com/livekit/python-sdks/tree/main/examples/face_landmark): Use mediapipe to detect face landmarks (eyes, nose ...)
-- [Basic room](https://github.com/livekit/python-sdks/blob/main/examples/basic_room.py): Connect to a room
-- [Publish hue](https://github.com/livekit/python-sdks/blob/main/examples/publish_hue.py): Publish a rainbow video track
-- [Publish wave](https://github.com/livekit/python-sdks/blob/main/examples/publish_hue.py): Publish a sine wave
-
-## Getting help / Contributing
-
-Please join us on [Slack](https://livekit.io/join-slack) to get help from our devs / community members. We welcome your contributions(PRs) and details can be discussed there.
-
+Use this SDK to add realtime video, audio and data features to your Python app. By connecting to LiveKit Cloud or a self-hosted server, you can quickly build applications such as multi-modal AI, live streaming, or video calls with just a few lines of code.
+
+
+This repo contains two packages
+
+- [livekit](https://pypi.org/project/livekit/): Real-time SDK for connecting to LiveKit as a participant
+- [livekit-api](https://pypi.org/project/livekit-api/): Access token generation and server APIs
+
+## Using Server API
+
+```shell
+$ pip install livekit-api
+```
+
+### Generating an access token
+
+```python
+from livekit import api
+import os
+
+# will automatically use the LIVEKIT_API_KEY and LIVEKIT_API_SECRET env vars
+token = api.AccessToken() \
+ .with_identity("python-bot") \
+ .with_name("Python Bot") \
+ .with_grants(api.VideoGrants(
+ room_join=True,
+ room="my-room",
+ )).to_jwt()
+```
+
+### Creating a room
+
+RoomService uses asyncio and aiohttp to make API calls. It needs to be used with an event loop.
+
+```python
+from livekit import api
+import asyncio
+
+async def main():
+ lkapi = api.LiveKitAPI("https://my-project.livekit.cloud")
+ room_info = await lkapi.room.create_room(
+ api.CreateRoomRequest(name="my-room"),
+ )
+ print(room_info)
+ results = await lkapi.room.list_rooms(api.ListRoomsRequest())
+ print(results)
+ await lkapi.aclose()
+
+asyncio.run(main())
+```
+
+### Authentication
+
+Authenticate with an API key and secret (recommended for backend use), or with a
+pre-signed token for client-side use, where the API secret must not be exposed.
+Any omitted value falls back to `LIVEKIT_URL`, `LIVEKIT_API_KEY`,
+`LIVEKIT_API_SECRET`, and `LIVEKIT_TOKEN`.
+
+```python
+# API key & secret (backend)
+lkapi = api.LiveKitAPI("https://my-project.livekit.cloud", api_key="...", api_secret="...")
+
+# pre-signed token (client-side); the token must already carry the grants for the calls
+lkapi = api.LiveKitAPI.with_token(my_token, "https://my-project.livekit.cloud")
+```
+
+### Using other APIs
+
+Services can be accessed via the LiveKitAPI object.
+
+```python
+lkapi = api.LiveKitAPI("https://my-project.livekit.cloud")
+
+# Room Service
+room_svc = lkapi.room
+
+# Egress Service
+egress_svc = lkapi.egress
+
+# Ingress Service
+ingress_svc = lkapi.ingress
+
+# Sip Service
+sip_svc = lkapi.sip
+
+# Agent Dispatch
+dispatch_svc = lkapi.agent_dispatch
+
+# Connector Service
+connector_svc = lkapi.connector
+```
+
+### Error handling
+
+A failed server API call raises `api.ServerError`, which exposes the error
+`code`, `message`, and any server-provided `metadata`.
+
+```python
+try:
+ await lkapi.room.create_room(api.CreateRoomRequest(name="my-room"))
+except api.ServerError as e:
+ print(e.code, e.message)
+```
+
+A failed SIP dial (e.g. the callee is busy or doesn't answer) raises
+`api.SipCallError`, a `ServerError` subclass that also exposes the SIP response
+status:
+
+```python
+try:
+ await lkapi.sip.create_sip_participant(api.CreateSIPParticipantRequest(
+ sip_trunk_id="ST_...",
+ sip_call_to="+15105550100",
+ room_name="my-room",
+ wait_until_answered=True,
+ ))
+except api.SipCallError as e:
+ print(e) # e.g. "SIP call failed: 486 Busy Here (resource_exhausted)"
+ if e.sip_status_code == 486:
+ ... # busy
+except api.ServerError as e:
+ print(e.code, e.message) # any other API error
+```
+
+## Using Real-time SDK
+
+```shell
+$ pip install livekit
+```
+
+### Connecting to a room
+
+see [room_example](examples/room_example.py) for full example
+
+```python
+from livekit import rtc
+
+async def main():
+ room = rtc.Room()
+
+ @room.on("participant_connected")
+ def on_participant_connected(participant: rtc.RemoteParticipant):
+ logging.info(
+ "participant connected: %s %s", participant.sid, participant.identity)
+
+ async def receive_frames(stream: rtc.VideoStream):
+ async for frame in stream:
+ # received a video frame from the track, process it here
+ pass
+
+ # track_subscribed is emitted whenever the local participant is subscribed to a new track
+ @room.on("track_subscribed")
+ def on_track_subscribed(track: rtc.Track, publication: rtc.RemoteTrackPublication, participant: rtc.RemoteParticipant):
+ logging.info("track subscribed: %s", publication.sid)
+ if track.kind == rtc.TrackKind.KIND_VIDEO:
+ video_stream = rtc.VideoStream(track)
+ asyncio.ensure_future(receive_frames(video_stream))
+
+ # By default, autosubscribe is enabled. The participant will be subscribed to
+ # all published tracks in the room
+ await room.connect(URL, TOKEN)
+ logging.info("connected to room %s", room.name)
+
+ # participants and tracks that are already available in the room
+ # participant_connected and track_published events will *not* be emitted for them
+ for identity, participant in room.remote_participants.items():
+ print(f"identity: {identity}")
+ print(f"participant: {participant}")
+ for tid, publication in participant.track_publications.items():
+ print(f"\ttrack id: {publication}")
+```
+
+### RPC
+
+Perform your own predefined method calls from one participant to another.
+
+This feature is especially powerful when used with [Agents](https://docs.livekit.io/agents), for instance to forward LLM function calls to your client application.
+
+#### Registering an RPC method
+
+The participant who implements the method and will receive its calls must first register support:
+
+```python
+@room.local_participant.register_rpc_method("greet")
+async def handle_greet(data: RpcInvocationData):
+ print(f"Received greeting from {data.caller_identity}: {data.payload}")
+ return f"Hello, {data.caller_identity}!"
+```
+
+In addition to the payload, your handler will also receive `response_timeout`, which informs you the maximum time available to return a response. If you are unable to respond in time, the call will result in an error on the caller's side.
+
+#### Performing an RPC request
+
+The caller may then initiate an RPC call like so:
+
+```python
+try:
+ response = await room.local_participant.perform_rpc(
+ destination_identity='recipient-identity',
+ method='greet',
+ payload='Hello from RPC!'
+ )
+ print(f"RPC response: {response}")
+except Exception as e:
+ print(f"RPC call failed: {e}")
+```
+
+You may find it useful to adjust the `response_timeout` parameter, which indicates the amount of time you will wait for a response. We recommend keeping this value as low as possible while still satisfying the constraints of your application.
+
+## Using local media devices
+
+The `MediaDevices` class provides a high-level interface for working with local audio input (microphone) and output (speakers) devices. It's built on top of the `sounddevice` library and integrates seamlessly with LiveKit's audio processing features. In order to use `MediaDevices`, you must have the `sounddevice` library installed in your local Python environment, if it's not available, `MediaDevices` will not work.
+
+### Capturing microphone input
+
+```python
+from livekit import rtc
+
+# Create a MediaDevices instance
+devices = rtc.MediaDevices()
+
+# Open the default microphone with audio processing enabled
+mic = devices.open_input(
+ enable_aec=True, # Acoustic Echo Cancellation
+ noise_suppression=True, # Noise suppression
+ high_pass_filter=True, # High-pass filter
+ auto_gain_control=True # Automatic gain control
+)
+
+# Use the audio source to create a track and publish it
+track = rtc.LocalAudioTrack.create_audio_track("microphone", mic.source)
+await room.local_participant.publish_track(track)
+
+# Clean up when done
+await mic.aclose()
+```
+
+### Playing audio to speakers
+
+```python
+# Open the default output device
+player = devices.open_output()
+
+# Add remote audio tracks to the player (typically in a track_subscribed handler)
+@room.on("track_subscribed")
+def on_track_subscribed(track: rtc.Track, publication, participant):
+ if track.kind == rtc.TrackKind.KIND_AUDIO:
+ player.add_track(track)
+
+# Start playback (mixes all added tracks)
+await player.start()
+
+# Clean up when done
+await player.aclose()
+```
+
+### Full duplex audio (microphone + speakers)
+
+For full duplex audio with echo cancellation, open the input device first (with AEC enabled), then open the output device. The output player will automatically feed the APM's reverse stream for effective echo cancellation:
+
+```python
+devices = rtc.MediaDevices()
+
+# Open microphone with AEC
+mic = devices.open_input(enable_aec=True)
+
+# Open speakers - automatically uses the mic's APM for echo cancellation
+player = devices.open_output()
+
+# Publish microphone
+track = rtc.LocalAudioTrack.create_audio_track("mic", mic.source)
+await room.local_participant.publish_track(track)
+
+# Add remote tracks and start playback
+player.add_track(remote_audio_track)
+await player.start()
+```
+
+### Listing available devices
+
+```python
+devices = rtc.MediaDevices()
+
+# List input devices
+input_devices = devices.list_input_devices()
+for device in input_devices:
+ print(f"{device['index']}: {device['name']}")
+
+# List output devices
+output_devices = devices.list_output_devices()
+for device in output_devices:
+ print(f"{device['index']}: {device['name']}")
+
+# Get default device indices
+default_input = devices.default_input_device()
+default_output = devices.default_output_device()
+```
+
+See [publish_mic.py](examples/local_audio/publish_mic.py) and [full_duplex.py](examples/local_audio/full_duplex.py) for complete examples.
+
+
+#### Errors
+
+LiveKit is a dynamic realtime environment and calls can fail for various reasons.
+
+You may throw errors of the type `RpcError` with a string `message` in an RPC method handler and they will be received on the caller's side with the message intact. Other errors will not be transmitted and will instead arrive to the caller as `1500` ("Application Error"). Other built-in errors are detailed in `RpcError`.
+
+## Hardware video codec support
+
+The underlying Rust SDK ships with platform-specific hardware-accelerated encoders/decoders, These are used automatically when available and compatible with the runtime environment (OS, drivers, GPU, and codec).
+
+| Platform | Codec(s) | Encoder | Decoder | Backend |
+| ------------------------------ | ---------- | ------- | ------- | -------------------------------------- |
+| macOS | H264, H265 | ✓ | ✓ | VideoToolbox |
+| Linux (AMD GPU) | H264 | ✓ | | VAAPI |
+| Linux x64 (NVIDIA GPU) | H264, H265 | ✓ | ✓ | NVENC / NVDEC (NVIDIA Video Codec SDK) |
+
+Software encoders (libvpx for VP8/VP9, libaom for AV1, OpenH264 for H264) are used as a fallback when hardware acceleration is not available.
+
+> **Note:** Availability depends on the specific machine configuration, including GPU model, driver support, and runtime environment.
+
+## Examples
+
+- [Facelandmark](https://github.com/livekit/python-sdks/tree/main/examples/face_landmark): Use mediapipe to detect face landmarks (eyes, nose ...)
+- [Basic room](https://github.com/livekit/python-sdks/blob/main/examples/basic_room.py): Connect to a room
+- [Publish hue](https://github.com/livekit/python-sdks/blob/main/examples/publish_hue.py): Publish a rainbow video track
+- [Publish wave](https://github.com/livekit/python-sdks/blob/main/examples/publish_wave.py): Publish a sine wave
+
+## Getting help / Contributing
+
+Please join us on [Slack](https://livekit.io/join-slack) to get help from our devs / community members. We welcome your contributions(PRs) and details can be discussed there.
+
| LiveKit Ecosystem | |
|---|---|
| Real-time SDKs | React Components · Browser · iOS/macOS · Android · Flutter · React Native · Rust · Node.js · Python · Unity (web) · Unity (beta) |
| Server APIs | Node.js · Golang · Ruby · Java/Kotlin · Python · Rust · PHP (community) |
| Agents Frameworks | Python · Playground |
| Services | Livekit server · Egress · Ingress · SIP |
| Resources | Docs · Example apps · Cloud · Self-hosting · CLI |
| LiveKit SDKs | Browser · iOS/macOS/visionOS · Android · Flutter · React Native · Rust · Node.js · Python · Unity · Unity (WebGL) · ESP32 |
| Server APIs | Node.js · Golang · Ruby · Java/Kotlin · Python · Rust · PHP (community) · .NET (community) |
| UI Components | React · Android Compose · SwiftUI · Flutter |
| Agents Frameworks | Python · Node.js · Playground |
| Services | LiveKit server · Egress · Ingress · SIP |
| Resources | Docs · Example apps · Cloud · Self-hosting · CLI |