parlot-instrumentation-langgraph
OpenTelemetry instrumentation for LangGraph / LangChain agents.
from parlot.instrumentation.langgraph import configure
configure(agent_id="support-bot", version="0.1.0", channel="webchat")
# Normal LangGraph usage — no per-call callbacks required
graph.invoke(
{"messages": [("user", "Hello")]},
config={"configurable": {"thread_id": "demo-1"}},
)
If thread_id is not provided, Parlot mints one automatically (anon-…) so
contract spans still attach to a session.
Pass channel (e.g. webchat, sms) when LangGraph owns the session so
ingest does not assume voice. Optional modality overrides the default
derived from channel (webchat/sms/whatsapp → text, voice → voice).
Set PARLOT_ENDPOINT and PARLOT_API_KEY. Generative AI content capture
(message bodies / tool payloads; default on) is documented in
Concepts.
Override with configure(capture_genai_content=False).
Session application logs (Python logging, default on) follow Settings → Logs /
configure(capture_logs=…, log_level=…). Not print(). Treat content like stdout for PII.
When used inside a LiveKit voice agent that already called
parlot.instrumentation.livekit.configure(), this package nests GenAI
operational spans under the active LiveKit session and does not emit
duplicate parlot.session / parlot.turn spans — LiveKit owns channel and
modality.
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