Instructor Has a Free API You Should Know About

Instructor is a library for getting structured, validated outputs from LLMs. Instead of parsing messy text, define a Pydantic model and get a typed object back — every time. Why Instructor Fixes LLM Output A developer was using regex to parse LLM responses into JSON. It broke 30% of the time — hallucinated fields, wrong types, missing data. Instructor guarantees structured output with automatic retries. Key Features: Structured Output — Get Pydantic models from any LLM Validation — Automatic retry on validation errors Streaming — Stream partial objects as they're generated Multi-Provider — OpenAI, Anthropic, Cohere, Mistral, local models Type-Safe — Full IDE support with type inference Quick Start pip install instructor import instructor from openai import OpenAI from pydantic import BaseModel client = instructor . from_openai ( OpenAI ()) class User ( BaseModel ): name : str age : int email : str user = client . chat . completions . create ( model = " gpt-4 " , response_model = User ,