langchain-middleware

Add human-in-the-loop approval and custom interception to LangChain agent tool calls.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/JosephRobles23/Vora.IA --skill langchain-middleware-josephrobles23
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: langchain-middleware
Source: https://github.com/JosephRobles23/Vora.IA/tree/main/backend/.windsurf/skills/langchain-middleware
Command: npx skills add https://github.com/JosephRobles23/Vora.IA --skill langchain-middleware-josephrobles23

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides essential middleware patterns for production LangChain agents, enabling human oversight for critical actions, custom processing logic, and structured output generation.

Core Features & Use Cases

  • Human-in-the-Loop (HITL): Pause agent execution before dangerous tool calls (like sending emails or deleting data) to allow for human approval, editing, or rejection.
  • Custom Middleware: Implement custom logic to intercept tool calls for error handling, logging, or retry mechanisms.
  • Structured Output: Ensure agent outputs conform to predefined schemas using Pydantic or Zod.
  • Use Case: An agent needs to send a customer-facing email. HITL middleware can pause execution, allowing a human to review and approve the email content before it's sent, preventing accidental miscommunication.

Quick Start

Use the langchain-middleware skill to set up an agent with human-in-the-loop approval for sending emails.

Frequently Asked Questions about langchain-middleware

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I add human-in-the-loop approval to LangChain agents?

Add human-in-the-loop approval to LangChain agents by implementing middleware that pauses execution before tool calls. This pattern requires a checkpointer and thread_id to intercept actions like sending emails, allowing human review, editing, or rejection.

What is middleware in LangChain used for?

Middleware in LangChain is used to intercept agent execution flow for custom processing, error handling, logging, and retry mechanisms. It provides production-ready control over tool calls and ensures data integrity through structured output validation.

Do I need a checkpointer for LangChain human-in-the-loop workflows?

Yes, you need a checkpointer and a thread_id to enable human-in-the-loop functionality in LangChain. These components are required to pause and resume agent execution state during middleware interception for human approval.

Can I validate structured output from LangChain agents?

You can validate structured output from LangChain agents using middleware that enforces predefined schemas. This ensures agent outputs conform to required data structures, maintaining data integrity in production-ready workflows.

What's the best way to intercept dangerous tool calls in LangChain?

The best way to intercept dangerous tool calls in LangChain is custom middleware. It halts execution before critical actions like deleting data, enabling custom interception logic for logging, error handling, or human approval.