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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 constructing AgentSession.
  • Call await ctx.connect() before session.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

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