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

📰 Dev.to · Srujana Maddula

Learn to get structured outputs from LLMs using Instructor, a framework for controlling LLM outputs

beginner Published 24 Apr 2026

Action Steps

Install the Instructor library using pip
Import the Instructor library and load a pre-trained LLM model
Define a custom prompt template using Instructor's API
Pass the prompt to the LLM model and get a structured output
Configure the output format to match your application's requirements

Who Needs to Know This

Data scientists, AI engineers, and software engineers can benefit from using Instructor to get structured outputs from LLMs, making it easier to integrate LLMs into their applications

Key Insight

💡 Instructor helps control LLM outputs, making it easier to integrate them into applications