Turn detector plugin for LiveKit Agents
⚠️ Deprecated. This plugin is deprecated and will be removed in a future release. Use
livekit.agents.inference.TurnDetectorinstead — it ships withlivekit-agents, requires no additional install, and replaces both the English and Multilingual text-based models with a unified audio end-of-turn detector.
This plugin introduces end-of-turn detection for LiveKit Agents using a custom open-weight model to determine when a user has finished speaking.
Traditional voice agents use VAD (voice activity detection) for end-of-turn detection. However, VAD models lack language understanding, often causing false positives where the agent interrupts the user before they finish speaking.
By leveraging a language model specifically trained for this task, this plugin offers a more accurate and robust method for detecting end-of-turns.
See https://docs.livekit.io/agents/build/turns/turn-detector/ for more information.
Usage
The recommended replacement is TurnDetector, available from livekit-agents directly:
from livekit.agents.inference import TurnDetector
session = AgentSession(
...
turn_detection=TurnDetector(),
)
Usage with RealtimeModel
TurnDetector works with speech-to-speech models such as OpenAI's Realtime API:
session = AgentSession(
...
llm=openai.realtime.RealtimeModel(),
turn_detection=TurnDetector(),
)
Running your agent
This plugin requires model files. Before starting your agent for the first time, or when building Docker images for deployment, run the following command to download the model files:
python -m livekit.agents download-files
Downloaded model files
Model files are downloaded to and loaded from the location specified by the HF_HUB_CACHE environment variable. If not set, this defaults to $HF_HOME/hub (typically ~/.cache/huggingface/hub).
For offline deployment, download the model files first while connected to the internet, then copy the cache directory to your deployment environment.
Model system requirements
The end-of-turn model is optimized to run on CPUs with modest system requirements. It is designed to run on the same server hosting your agents.
The model requires <500MB of RAM and runs within a shared inference server, supporting multiple concurrent sessions.
License
The plugin source code is licensed under the Apache-2.0 license.
The end-of-turn model is licensed under the LiveKit Model License.
Release files for livekit-plugins-turn-detector 1.7.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| livekit_plugins_turn_detector-1.7.1.tar.gz | 7.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| livekit_plugins_turn_detector-1.7.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 18.0 kB
Release files / livekit_plugins_turn_detector-1.7.1.tar.gz
| Download URL | livekit_plugins_turn_detector-1.7.1.tar.gz |
|---|---|
| Size | 7.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
9e85449348385adf49501e7c502f0b0e595c5765f11bdab3c6c10135e1b9431d
|
|
BLAKE2b-256 checksum How to use checksums |
eae42e277997a12288f6cd800dcf95c99bee91dd50a0aa44f369ed86d69681fb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 27, 2026.
Transparency logRelease files / livekit_plugins_turn_detector-1.7.1-py3-none-any.whl
| Download URL | livekit_plugins_turn_detector-1.7.1-py3-none-any.whl |
|---|---|
| Size | 10.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
5915904bec18330734d3c2b5c0d57aff4504f6352b72d10ba59e4ba7fd69bf3a
|
|
BLAKE2b-256 checksum How to use checksums |
6a1b364340fe4b43b589c449707b0ef8b7d66932b3684e5851b2f7b5d3a700aa
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Aug 27, 2026.
Transparency log
