TypeChat is a schema enforcement library and framework for building natural language interfaces. It ensures that responses from large language models strictly adhere to predefined TypeScript type definitions, translating unstructured human language into predictable, structured data.
The project functions as both a prompt generator and an output validator. It automatically creates model instructions by extracting requirements from type schemas to replace manual prompt engineering and verifies that model outputs match the required format.
The system handles structured output generation and response validation through a process that detects formatting errors or missing properties. It uses an iterative correction loop to send validation errors back to the language model to prompt the generation of a corrected response.
