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TYPECHAT
Build type-safe natural language interfaces with plain TypeScript types
MIT
ABOUT
Every LLM integration needs structured output — but parsing free-text responses is fragile. TypeChat lets you define the schema of what you want back as a regular TypeScript interface. The library constructs a prompt from your types, sends it to the LLM, and validates the response against your schema at runtime. If validation fails, it auto-corrects the LLM. This replaces brittle regex parsing and JSON repair with a type-safe, self-correcting pipeline.
INSTALL
npm install typechatINTEGRATION GUIDE
1. Build a classification system where you define the categories as a TypeScript union type and TypeChat handles the mapping
2. Extract structured data from unstructured text — orders, invoices, contact info — with compile-time type safety
3. Create a natural language form filler that validates responses against the expected schema before submission
4. Build a chatbot that returns typed responses the frontend can use without parsing
5. Implement an AI-powered search that returns results in a type-safe format matched to your UI components
TAGS
typescriptnlpllmtype-safetymicrosoftschemavalidation