Instructor is a Python library that enables structured outputs from language models using Pydantic. It provides typed data extraction with built-in validation and retry mechanisms.
Python library for structured outputs from LLMs using Pydantic. Extract typed data from any model with validation, retries, and streaming support.
Instructor holds a HookFlow heat score of 38/100 in AI Frameworks, currently showing cooling interest after an earlier surge. Over the last 7 days its score moved -3 points (down), -1 over 30 days. On the Lock-In Index it scores 100/100 (high lock-in, with significant switching cost).
0–100 viral momentum index combining social buzz, search trends & growth velocity
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Instructor is a library that extracts structured, typed data from language models by leveraging Pydantic models. It ensures outputs conform to defined schemas with automatic validation and error handling.
Instructor includes built-in retry mechanisms that automatically attempt to correct outputs when validation fails, ensuring data conforms to your Pydantic schema definitions.
Yes, Instructor supports streaming outputs, allowing you to process structured data as it is generated from language models rather than waiting for complete responses.
Instructor works with any language model, not limited to specific providers, enabling flexible integration across different model choices.
Yes, Instructor is a free, open-source Python library available for download and use.
A.R.C. ratings are calculated for developer infrastructure and API-first tools. This tool hasn't been evaluated yet or falls outside the A.R.C. scope.
Lower = more portable. 0 = fully open, 100 = maximum lock-in.
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