LangChain Structured Output & HITL
OfficialStructured output & human approval for agents.
AuthorDiploma-pending
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses two critical needs for production AI agents: reliably extracting structured data from LLM responses and incorporating human oversight into agent workflows.
Core Features & Use Cases
- Structured Output: Transforms unstructured LLM outputs into validated, typed data using Pydantic or Zod schemas. Essential for form filling, API integrations, and data extraction tasks.
- Human-in-the-Loop (HITL): Allows agents to pause execution for human review and approval before critical actions like sending emails or modifying data.
- Use Case: An agent needs to send a personalized email. It uses HITL to pause before sending, allowing a human to review and approve the content, ensuring accuracy and preventing errors.
Quick Start
Use the LangChain structured output skill to extract contact information from the provided text into a Pydantic object.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: LangChain Structured Output & HITL Download link: https://github.com/Diploma-pending/test-case/archive/main.zip#langchain-structured-output-hitl Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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