Parlot
Production voice AI observability — MIT OpenTelemetry instrumentation for LiveKit Agents (and LangGraph when you already run voice).
Know if your voice agent is actually working. Install the sidecar, call parlotize() once, and Parlot models each call as turns: timeline, multi-agent handoff graph, pipeline waterfall, and goal completion with an evidence trail to the proving turns and audio.
Works with LiveKit Cloud, self-hosted media, and LiveKit on Telnyx.
Install
# LiveKit Agents (recommended)
pip install "parlot[livekit]"
# LangGraph / LangChain (same debugger for text agents alongside voice)
pip install "parlot[langgraph]"
# Both
pip install "parlot[all]"
Or install an instrumentation package directly:
pip install parlot-instrumentation-livekit
# or
pip install parlot-instrumentation-langgraph
Instrument (LiveKit)
from parlot.instrumentation.livekit import parlotize
parlotize()
Call parlotize() before constructing AgentSession, then await ctx.connect() before session.start(). Set PARLOT_ENDPOINT and PARLOT_API_KEY (mint in Settings → API Keys).
Full checklist: LiveKit guide · Quick Start
Documentation
1 maintainer
Metadata
1 maintainer
Release files for parlot 0.2.0
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| File | Size | Uploaded | Provenance | |
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| parlot-0.2.0.tar.gz | 2.8 kB | With provenance | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| parlot-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.6 kB
Release files / parlot-0.2.0.tar.gz
| Download URL | parlot-0.2.0.tar.gz |
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| Size | 2.8 kB |
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| Download URL | parlot-0.2.0-py3-none-any.whl |
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| Size | 2.8 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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