Instructor is a Python library designed to simplify structured output workflows for Large Language Models (LLMs). It leverages the power of Pydantic to provide an efficient framework for data validation and processing.
The core value of the library is its ability to convert unstructured LLM output into strictly type-defined structured data. Based on the Python type hinting system, Instructor ensures that the data obtained from LLM is properly formatted and type-safe. Developers can define Pydantic models to explicitly specify the desired output structure, and the models automatically validate and parse the LLM response.
In addition, Instructor simplifies the workflow of interacting with LLM through a transparent API design. It has built-in support for retry mechanisms, error handling, and streaming responses, greatly reducing the complexity of getting structured data with LLM.
This answer comes from the articleInstructor: a Python library to simplify structured output workflows for large language modelsThe
