livekit-plugins-turn-detector
End of utterance detection for LiveKit Agents
What it is and what it does
This package adds end-of-turn detection to LiveKit Agents by using a custom language model trained specifically to recognize when a user has finished speaking, rather than relying on voice activity detection (VAD) alone. VAD models often cause false positives and interrupt users mid-sentence; this plugin's language understanding approach is more accurate and robust for real conversational agents.
The package depends on transformers, onnxruntime, numpy, jinja2, and livekit-agents. It downloads and caches model files locally (under 500MB) and runs inference on CPU alongside your agent. However, the package is deprecated: LiveKit has integrated an improved TurnDetector directly into livekit-agents itself, which ships with no additional install and replaces both English and Multilingual models with a unified audio-based detector.
Use it for:
- Building voice agents that need to detect when a user finishes speaking without interrupting mid-sentence
- Replacing VAD-only turn detection in existing LiveKit Agents to reduce false-positive interruptions
- Deploying multilingual voice agents where language understanding improves turn-taking accuracy
- Running speech-to-speech models (e.g., OpenAI Realtime API) with more intelligent end-of-turn signals
Worth the install?
AI-flagged interpretation of the facts on this page — verify before relying
Detects end-of-turn in voice conversations for LiveKit Agents using a language model trained for this task, replacing simpler voice activity detection with more accurate interruption prevention.
No—do not install this package. It is deprecated and will be removed in a future release. Use the built-in TurnDetector from livekit-agents instead, which requires no additional install, ships with the main package, and provides a unified audio-based detector that replaces this plugin's functionality. If you are already using this plugin, plan to migrate to the built-in alternative.
Install
livekit-plugins-turn-detector on PyPI
pip
pip install livekit-plugins-turn-detectoruv
uv add livekit-plugins-turn-detectorpoetry
poetry add livekit-plugins-turn-detectorInstalling livekit-plugins-turn-detector
Before you install
Low friction install with a pure-Python wheel. Actively maintained as of 1 day ago with 13002 repository stars. However, the package is deprecated and will be removed in a future release; the built-in TurnDetector in livekit-agents is the recommended replacement.
License in practice
Apache-2.0 permissive license on the plugin source code. The bundled end-of-turn model uses the LiveKit Model License, which you should review separately if model redistribution or modification is relevant to your use case.
Quickstart
pip install livekit-plugins-turn-detector
from livekit.agents import TurnDetector
from livekit.agents import AgentSession
session = AgentSession(
turn_detection=TurnDetector(),
)
Requires Python >=3.10.0. Model files must be downloaded via `python -m livekit.agents download-files` before first use; they are cached in the location specified by HF_HUB_CACHE environment variable (defaults to ~/.cache/huggingface/hub).
Verify before relying
- Whether the deprecated status affects your deployment timeline or long-term maintenance plans
- Exact performance difference between this plugin and the built-in TurnDetector replacement
- Whether the <500MB RAM requirement and CPU-only design fit your infrastructure
Package facts
| License | Apache-2.0 (permissive) |
| Python support | supports the current Python release (>=3.10.0) |
| Install friction | low — pure-Python wheel |
| Runtime dependencies | 5 — jinja2, livekit-agents, numpy, onnxruntime, transformers |
| Maintenance | actively maintained — 1 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 2,547,245/month — #3,007 on PyPI (30-day window, as of 2026-08-14) |
| Known vulnerabilities | none known (OSV.dev, checked 2026-08-14) |
Evidence: livekit_plugins_turn_detector-1.6.10-py3-none-any.whl
Keywords: ai, audio, livekit, realtime, video, voice, webrtc
Tags
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