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langchain-middleware

Pause LangChain agent tool calls for human approval and structured output.

Updated Mar 8, 2026
Search Tags:#production#middleware#langchain#agent#human-in-the-loop#structured output
One-click install
npx skills add https://github.com/brivaro/brivaro-ai-wizard --skill langchain-middleware-brivaro
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: langchain-middleware
Source: https://github.com/brivaro/brivaro-ai-wizard/tree/main/skills/langchain-middleware
Command: npx skills add https://github.com/brivaro/brivaro-ai-wizard --skill langchain-middleware-brivaro

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the need for controlled execution in production AI agents by enabling human intervention for critical decisions, custom processing logic, and ensuring structured outputs.

Core Features & Use Cases

  • Human-in-the-Loop (HITL): Pause agent execution before potentially 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 pre-processing.
  • Structured Output: Ensure agent outputs conform to predefined schemas using tools like Pydantic or Zod.
  • Use Case: An agent needs to send a customer-facing email. This middleware will pause the agent, show the email content to a human operator, and wait for approval before sending.

Quick Start

Set up an agent with HITL middleware that pauses before sending emails for approval.

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 a LangChain agent before it executes dangerous tool calls?▼

Human-in-the-loop oversight in LangChain is implemented using HumanInTheLoopMiddleware to pause agent execution before dangerous tool calls, allowing a human operator to approve, edit, or reject the action before proceeding.

What is middleware in LangChain production agents used for?▼

Middleware in LangChain production agents provides custom processing logic to intercept tool calls, enabling critical functionality like error handling, logging, pre-processing, and controlled execution oversight.

How do I enforce structured output from a LangChain agent using Pydantic or Zod?▼

Structured output for LangChain agents is enforced by applying middleware that validates agent outputs against predefined schemas using tools like Pydantic or Zod, ensuring responses conform to required formats.

Can I intercept and log LangChain agent tool calls automatically in production?▼

Yes, you can intercept and log LangChain agent tool calls automatically by implementing custom middleware patterns to wrap agent execution, capturing tool call data for logging and pre-processing.

Does LangChain middleware work for pausing email sending actions in customer-facing agents?▼

LangChain middleware supports pausing email sending actions in customer-facing agents by halting execution before the tool call, displaying the email content to a human operator, and waiting for approval before sending.

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