parlot-instrumentation-livekit
Parlot shows whether production voice agents actually work — turns, handoffs, and goal completion with an evidence trail — not just that the pipeline returned 200s.
MIT OpenTelemetry instrumentation for LiveKit Agents (Cloud, self-hosted, or LiveKit on Telnyx).
Docs: LiveKit guide · Quick Start · parlot.ai
Install
pip install parlot-instrumentation-livekit
# or: uv add parlot-instrumentation-livekit
# or: pip install "parlot[livekit]"
Instrument
from parlot.instrumentation.livekit import parlotize
parlotize("my-agent")
from livekit.agents import AgentSession, JobContext
async def entrypoint(ctx: JobContext):
await ctx.connect()
session = AgentSession(...)
await session.start(agent=..., room=ctx.room)
Two required steps:
- Call
parlotize("…")before constructingAgentSession. - Call
await ctx.connect()beforesession.start().
Pass version= to stamp a deployment version (gen_ai.agent.version); if omitted, Parlot stamps "unknown".
Configure
export PARLOT_ENDPOINT=https://ingest.parlot.ai
export PARLOT_API_KEY=<org-scoped-key>
Mint the API key in Parlot Settings → API Keys. Recording, session logs, and generative AI content capture are configured in Settings or via parlotize(...) kwargs — see the LiveKit guide.
Next
- Quick Start
- LiveKit guide
- Examples:
examples/livekit/
1 maintainer
Metadata
1 maintainer
Release files for parlot-instrumentation-livekit 0.4.3
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