Pause LangChain agent tool calls for human approval and resume.
npx skills add https://github.com/pepeccz/msi-a --skill langchain-middleware-pepeccz
Please help me install this Agent Skill. Skill: langchain-middleware Source: https://github.com/pepeccz/msi-a/tree/main/.agents/skills/langchain-middleware Command: npx skills add https://github.com/pepeccz/msi-a --skill langchain-middleware-pepeccz
Automates safe human oversight for dangerous tool calls by introducing HumanInTheLoopMiddleware and structured hooks.
Configure an agent with HITL middleware that pauses before dangerous tool calls and resumes execution after human approval.
High-intent search queries and answers about installing and using this skill.
Human-in-the-loop control in LangChain agents is added by applying HumanInTheLoopMiddleware that pauses execution before dangerous tool calls to obtain human approval. It intercepts runtime tool calls to enforce per-tool safety policies.
Agent execution resumes using Command-based resume support after a human makes a decision. This allows the workflow to continue seamlessly whether the human decision is to approve, edit, or reject the intercepted tool call.
Human-in-the-loop middleware requires a checkpointer-backed state and thread_id tracking to function properly. This setup guarantees recoverable workflows and enables interrupt-based resumes during runtime conversations.
Yes, you can intercept LangChain agent tool calls for custom logging or retry logic by writing custom middleware. This allows you to apply structured hooks for error handling and auditing across runtime conversations.
Yes, human-in-the-loop middleware supports per-tool policies for LangChain agents. You can configure the middleware to only pause for specific dangerous tools while allowing safe tools to execute automatically.
dotlab-hqConfigure human-in-the-loop approval for LangChain tool calls with per-tool policies.
jillescaPause a running LangGraph graph for human input and resume with Command(resume=...).
jhlee0409Implement consistent API error handling with Korean messages and server-side logging.
jackjin1997Implement middleware patterns for LangChain agents with human approval and structured output.
