A beginner’s guide to Instructor: Get Structured Outputs from LLMs

LLMs generate text by predicting the next best token. Pass the same prompt twice and you might get two different outputs. Sometimes it's a clean JSON object. Sometimes it's the same data wrapped in markdown fences and a paragraph of explanation you didn't ask for. Often, you don't need the full response. You just need specific parts of it to feed into an API, in a database, or pass to the next layer of your application. By the end of this tutorial, you'll know how to use the Instructor library to get structured, validated outputs from any.