Instructor is a Python library that bridges OpenAI responses with structured data validation using Pydantic models. It lets developers specify expected output schemas and ensures that the responses from OpenAI APIs are automatically parsed and validated against those models. This makes integrating LLMs into structured workflows safer and more predictable, especially in production applications.

Features

  • Validates LLM output using Pydantic models
  • Supports OpenAI function calling and raw responses
  • Reduces hallucinations and malformed data
  • Easy integration with structured apps and APIs
  • Provides decorators for minimal boilerplate
  • Compatible with OpenAI’s ChatCompletion interface

Project Samples

Project Activity

See All Activity >

License

MIT License

Follow Instructor Python

Instructor Python Web Site

Other Useful Business Software
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

Build gen AI apps with an all-in-one modern database: MongoDB Atlas

MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Instructor Python!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Large Language Models (LLM)

Registered

2025-07-01