openwright-langgraph
A LangGraph source connector for OpenWright: capture a LangGraph lending/underwriting agent's runtime behavior as signed, control-mapped evidence — tool and model calls automatically, plus the wedge controls (human-in-the-loop approval and the credit decision).
from openwright.connectors import load
conn = load("openwright.source_connectors", "langgraph")
with conn.instrument(client, thread_id="loan-42") as run:
graph.invoke(state, config={"callbacks": run.callbacks,
"configurable": {"thread_id": "loan-42"}})
# when the reviewer approves and you resume the graph:
appr = run.record_human_approval(reviewer="alice@bank", rationale="reviewed KYC")
run.record_decision(output="APPROVED", risk_classification="high",
approval_ref=appr.event_id, control="art-14-human-oversight")
A human-approved high-risk decision yields Art-14 satisfied; an un-approved one
is flagged. Payloads are hashed (sha256: references) — no raw prompts/PII enter
the ledger. Built on LangChain's callback API + the OpenWright SDK; no crypto is
reimplemented. Not affiliated with LangChain/LangGraph.
1 maintainer
Metadata
1 maintainer
Release files for openwright-langgraph 0.4.0
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| File | Size | Uploaded | Provenance | Actions |
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| openwright_langgraph-0.4.0-py3-none-any.whl | Python 3 | none | any | Details for openwright_langgraph-0.4.0-py3-none-any.whl |
Total release size: 8.9 kB
Release files / openwright_langgraph-0.4.0.tar.gz
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