pytracer-langgraph
pyTracer adapter for LangGraph and LangChain. It auto-instruments an agent through
LangChain's callback system, so you do not add @op by hand: model calls, tool
calls, and graph nodes are captured as pyTracer spans automatically.
import pytracer_sdk as pytracer
from pytracer_langgraph import PyTracerCallbackHandler
pytracer.configure(
pytracer.HTTPTransport("https://gateway.internal", api_key="YOUR_KEY"),
service_name="my-agent", branch="main", commit="abc123",
)
handler = PyTracerCallbackHandler()
app.invoke(inputs, config={"callbacks": [handler]}) # spans captured for this run
on_chat_model_start / on_llm_start become LLM spans, on_tool_start become
tool spans, and LangGraph nodes become agent spans, all linked into one trace by
the run tree.
Replay
This adapter captures runs. Replaying a captured run currently requires @op
instrumentation, because the replay engine intercepts @op calls; replay through
the adapter itself is on the roadmap. Attempting to replay an adapter-only trace
is flagged (the run has recordings but hits no @op seam) rather than silently
running live. See the main README for the replay workflow.
1 maintainer
Metadata
1 maintainer
Release files for pytracer-langgraph 0.1.2
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Total release size: 12.7 kB
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