Docs safety guidance: auditable final-state receipts for agent completion claims?
Hi, I maintain SACP, a small text-first receipt layer for AI agent work: https://github.com/aDragon0707/sacp
I noticed LangGraph emphasizes durable execution, human-in-the-loop review, stateful agents, and long-running workflows. That seems like a natural place for guidance on auditable final-state receipts.
I also saw that this repo's examples/ directory is archived and points users to the consolidated LangChain docs, so I am opening an issue instead of sending a docs PR to the wrong place.
Would LangGraph docs accept a small safety-oriented section or example about final completion receipts?
The pattern would document:
- what the agent claimed
- what evidence supports each claim
- who owns the next step
- whether human approval is required before publishing, deploying, writing memory, or taking another external action
Concrete failure mode:
Done. All tests passed. Ready to publish.This final output contains completion, test, and external-action claims, but it may not attach command output, trace evidence, or human approval.
No runtime dependency, no behavior change, and no framework replacement. The goal is just safety guidance for auditing final agent state.
Source: langchain-ai/langgraph