CueLight vs LiveKit Agents

CueLight

CueLight gives a voice pipeline a local end-of-turn probability every 20 ms from audio alone, with a 1.9 MB model and Apache-2.0 weights. It is one day old, English only, installs from Git rather than PyPI, has no CI or changelog, and its accuracy figures are the author's own.

LiveKit Agents

An Apache-2.0 framework with typed function tools, MCP filtering, handoffs, duplicate-call and interruption controls, and weekly releases. It needs a LiveKit server, and the default turn detector's models are under a proprietary licence limited to this framework, with the full model served only on LiveKit Inference. No approval primitive or prompt-injection guidance was found.

CueLight

1. Feed 320 float32 samples at 16 kHz mono per push. Resample first, or the call raises an AssertionError
2. Spell the preset as snappy or careful. Any other name silently uses default thresholds
3. Call clear() before a new call or session. Pass reset_on_turn_start=False if your pipeline already resets per turn
4. Pin weights by downloading them to a local folder and passing that path to from_pretrained
5. Don't use it to identify speakers or clone voices. The training data's conditions forbid it

LiveKit Agents

1. Set LIVEKIT_URL, LIVEKIT_API_KEY and LIVEKIT_API_SECRET before starting. Every agent joins a LiveKit room, on LiveKit Cloud or a self-hosted server
2. Pass inference.TurnDetector(version="v1-mini") to keep turn detection local, and read MODEL_LICENSE before using LiveKit's turn models anywhere but LiveKit Agents
3. Pass record=False, or a dict per category, to session.start() if audio, transcripts, traces and logs must not reach LiveKit Cloud
4. Call context.disallow_interruptions() first in tools that write, and set on_duplicate="reject" or "confirm". Duplicates are matched by tool name only, not arguments
5. Wrap MCP servers in mcp.MCPToolset with allowed_tools (Python only). The mcp_servers parameter is deprecated