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instructor-library
Get structured, validated outputs from LLMs with Instructor — Pydantic schemas, retries, and reliable JSON extraction.
skills/instructor-library/SKILL.md
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## Overview
Instructor is a Python library that turns LLM outputs into validated structured
data. You define a Pydantic model describing exactly the shape you want;
Instructor patches your LLM client so responses are parsed and validated against
that schema, with automatic retries when validation fails. Instead of
prompt-engineering JSON out of a model and praying the parse holds, you declare
the schema and let the library enforce it.
The pattern is simple and robust: schema as contract, validation as gate, retries
as recovery. Instructor supports multiple providers and modes (function calling,
JSON mode, markdown code blocks), picking the most reliable mechanism per
provider. It's the default answer to "I need the model to return structured data
I can actually use in code."