instructor

Instructor is a multi-language library for structured LLM outputs, designed for developers who need reliable and validated data from AI models. It supports 15+ providers, including OpenAI, Anthropic, and Google, and offers features like automatic retries, data validation, and streaming support. Instructor's key differentiator is its type-safe data extraction with Pydantic models, making it a go-to solution for enterprise-grade applications.

instructor is best for . It sits in the Research category and is a freemium option.

instructor is listed as freemium. Check the official website for current, detailed pricing tiers.

instructor scored 8.7 out of 10 in 2026, based on six weighted metrics: usefulness, quality, ease of use, value, reliability, and popularity.

Supports multiple LLM providers, allowing developers to work with a variety of AI models and ensuring flexibility in their projects. Offers automatic retries and data validation, reducing manual error handling and ensuring high-quality outputs. Provides streaming support for real-time processing of partial responses and lists, enabling efficient and scalable data extraction.

Requires knowledge of Pydantic models, which can be a barrier for developers without prior experience with the library. May have limitations in terms of customization and fine-grained control over the LLM outputs, depending on the specific use case. The free tier is not available, which can make it less accessible to individual developers or small projects with limited budgets.

instructor is a top-tier pick in the Research space. With an overall score of 8.7/10, it stands out for teams and individuals who need .