Instructor

Instructor wraps an LLM call so the response comes back as a validated Pydantic model instead of raw text you have to parse yourself — define the shape you want as a Pydantic class, and the library handles prompting the model to produce it and retrying on validation failure.

A narrower, single-purpose tool compared to a full agent framework: it solves specifically “get typed, structured data out of an LLM response,” which is a common building block inside larger pipelines built with something like LangChain or DSPy, not a replacement for either.