TypeChat

TypeChat is a library that makes it easy to build natural language interfaces using types.

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Overview

TypeChat is a Microsoft library that simplifies building natural language interfaces by replacing traditional prompt engineering with schema engineering. Instead of crafting complex prompts, developers define TypeScript/JavaScript types that represent the intents their application should understand. TypeChat automatically constructs prompts using these types, validates LLM responses against the schema, and repairs non-conforming outputs through additional model interactions. The library handles the complex orchestration between natural language input and structured data output, making it easier to build reliable conversational interfaces. It supports multiple programming languages including TypeScript/JavaScript, Python, and C#/.NET. TypeChat addresses key challenges in LLM-based applications such as constraining model responses for safety, structuring outputs for further processing, and ensuring response validity without requiring extensive prompt engineering expertise.

Pros

  • + Type-driven approach eliminates complex prompt engineering and reduces fragility as schemas grow
  • + Automatic validation and repair system ensures LLM responses conform to defined schemas
  • + Multi-language support with implementations for TypeScript, Python, and C#/.NET ecosystems

Cons

  • - Requires developers to be proficient in type system design and schema modeling
  • - Limited to applications where intents can be effectively represented through static type definitions

Use Cases

Getting Started

Install TypeChat via npm with 'npm install typechat', define TypeScript interfaces representing your application's intents (like sentiment categories or shopping actions), then use TypeChat's API to process natural language input against your defined schemas with automatic validation and repair.