Instructor
by Jason Liu · free · Last verified 2026-03-17
Instructor is a Python library that simplifies extracting structured, typed data from Large Language Model (LLM) responses. By leveraging Pydantic models, it enables developers to define a desired data schema, and Instructor handles the prompting, validation, and retries to ensure the LLM output conforms to that schema, streamlining data extraction tasks.
https://python.useinstructor.com ↗B
B—Above Average
Adoption: B+Quality: AFreshness: ACitations: B+Engagement: F
Specifications
- License
- MIT
- Pricing
- free
- Capabilities
- Structured data extraction using Pydantic models, Automatic validation of LLM outputs, Configurable retry logic on validation failure, Streaming support for partial model results, Multi-provider support (OpenAI, Anthropic, Gemini, etc.), Abstraction over LLM function calling and tool use, Asynchronous client support (async/await), Support for fine-tuning models for specific extraction tasks, Response model composition and nesting, Detailed validation error feedback for debugging
- Integrations
- [object Object], [object Object], [object Object], [object Object], [object Object], [object Object]
- Use Cases
- [object Object], [object Object], [object Object], [object Object], [object Object]
- API Available
- Yes
- SDK Languages
- python, typescript
- Deployment
- self-hosted
- Rate Limits
- N/A (open-source)
- Data Privacy
- Self-hosted, user-managed
- Tags
- structured-output, pydantic, validation, llm-extraction, python, data-extraction, function-calling, tool-use, openai, anthropic, llm-tooling
- Added
- 2026-03-17
- Completeness
- 0.8%
Index Score
64.8Adoption
74
Quality
86
Freshness
88
Citations
72
Engagement
0