Parlot
Parlot shows whether production voice agents actually work — turns, handoffs, and goal completion with an evidence trail — not just that the pipeline returned 200s.
Call parlotize() once at startup. MIT OpenTelemetry instrumentation for LiveKit Agents, Pipecat, and LangGraph when you already run those stacks.
Docs: parlot.ai/docs · Product: parlot.ai
Install
pip install "parlot[livekit]"
# or: pip install "parlot[pipecat]"
# or: pip install "parlot[langgraph]"
# or: pip install "parlot[all]"
Or install an instrumentation package directly:
pip install parlot-instrumentation-livekit
# or: pip install parlot-instrumentation-pipecat
# or: pip install parlot-instrumentation-langgraph
Instrument (LiveKit)
Call parlotize("…") before constructing AgentSession, then await ctx.connect() before session.start():
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)
Configure
export PARLOT_ENDPOINT=https://ingest.parlot.ai
export PARLOT_API_KEY=<org-scoped-key>
Mint the API key in Parlot Settings → API Keys.
Next
1 maintainer
Metadata
1 maintainer
Release files for parlot 0.3.3
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