lookspan-langgraph — LangChain & LangGraph observability, local-first
Drop-in callback handler that streams every chain, graph node, LLM call and tool
invocation to your local Lookspan dashboard — a
process on 127.0.0.1, not a SaaS. No account, no API key, nothing uploaded.
One handler in config={"callbacks": [...]} and the graph you drew becomes a
timeline you can actually read: which node ran, in what order, how long each LLM
call took, and where the retries went.
Install
pip install lookspan-langgraph
Quick start
from lookspan import LookspanClient
from lookspan_langgraph import LookspanCallbackHandler
client = LookspanClient(endpoint="http://127.0.0.1:3100/api/ingest")
handler = LookspanCallbackHandler(client=client, agent_id="my-agent")
# LangChain
result = chain.invoke({"input": "hello"}, config={"callbacks": [handler]})
# LangGraph
result = graph.invoke({"messages": []}, config={"callbacks": [handler]})
client.flush()
Prompts and completions are not recorded unless you pass capture_content=True
to LookspanClient.
Links
- Product page — https://fervon.dev/lookspan/
- Documentation — https://jonimartin27.github.io/lookspan/
- Core SDK —
lookspan· CrewAI —lookspan-crewai - Source and issues — https://github.com/JoniMartin27/lookspan
MIT licensed. Part of Fervon.
1 maintainer
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