instructor — Simplify structured data extraction from LLMs with Pydantic validation and type safety
Overview
Instructor is a Python library designed to simplify the process of extracting structured data from Large Language Models (LLMs). It leverages Pydantic for validation, type safety, and IDE support, allowing developers to define models and receive structured data without manual JSON parsing or error handling. This project stands out for its ease of use and compatibility with various LLM providers, making it a versatile tool for developers working with AI.
Key Features
- Structured Data Extraction: Automatically extract structured data from LLMs.
- Pydiantic Integration: Utilize Pydantic for data validation and type safety.
- Multi-Provider Support: Compatible with major LLM providers like OpenAI, Anthropic, and Google.
- Automatic Retries: Handle failed validations by automatically retrying with error messages.
Use Cases
- Data Scientists: Extracting structured data from LLMs for analysis and modeling.
- Developers: Integrating LLMs into applications with structured output requirements.
- AI Researchers: Streamlining the process of working with different LLM providers for comparative studies.
Advantages
- Simplicity: Reduces complexity by handling JSON parsing, error handling, and retries.
- Flexibility: Works with various LLM providers, allowing for easy switching between APIs.
- Type Safety: Leverages Pydantic for improved developer experience and reduced runtime errors.
Limitations / Considerations
- Dependency on Pydantic: Requires understanding of Pydantic for effective use.
- Provider API Changes: May be affected by changes in the APIs of supported LLM providers.
- License: The project's license is currently unknown, which could be a consideration for commercial use.
Similar / Related Projects
- LangChain: A framework for building applications with LLMs, offering more comprehensive features but with a steeper learning curve.
- GPT-Index: Focuses on indexing and retrieving information from LLMs, differing in its approach to data handling.
- Promptflow: A tool for managing and versioning prompts, complementary to Instructor for developers needing to track prompt evolution.
Basic Information
- GitHub: https://github.com/567-labs/instructor
- Stars: 11,450
- License: Unknown
- Last Commit: 2025-09-18
📊 Project Information
- Project Name: instructor
- GitHub URL: https://github.com/567-labs/instructor
- Programming Language: Python
- ⭐ Stars: 11,450
- 🍴 Forks: 852
- 📅 Created: 2023-06-14
- 🔄 Last Updated: 2025-09-18
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