Instructor
AI Agents & Automation
Overview
Instructor is a Python library that provides structured LLM outputs using Pydantic validation for reliable data extraction from language models. It serves as the foundation for other agent frameworks that rely on Pydantic-based schemas and validated inputs and outputs, enabling developers to get structured, type-safe responses from LLMs. Instructor makes it easy to define expected output schemas and automatically retry failed validations, providing a robust foundation for building reliable LLM applications.
- Pricing model
- Free
- Deployment
- Self-hosted / on-premises, API / SDK, CLI / IDE plugin
- Regions served
- Global
- Categories
- Language (LLM / NLP), Process automation, CLI / IDE plugin, Free, Software & technology, Workflow orchestration, API / SDK, Self-hosted / on-premises, Agent framework / SDK, AI Agents & Automation, Agentic / autonomous, Enterprise / custom quote
- Last updated
- 2 October 2026
- Published
- 2 October 2026
Use cases
Deployment options
Data sources & provenance
Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.
- Data quality
- Data quality: Editorially Reviewed
- Primary source
- resources.rework.com
- Sources cited
- 2
- Last reviewed
- 28 September 2026
- Last updated
- 2 October 2026
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