microsoft/TypeChat

Project overview

By shifting the burden from fragile prompt authoring to typed schema definitions, typechat offers a structured and maintainable path to building reliable natural language interfaces with large language models.

Use cases

Coding & Development

Deployment

Refer to project documentation

License

MIT

Best for

• Developers who want to build natural language interfaces by defining typed schemas instead of relying on complex decision trees or fragile prompt engineering.

Key capabilities

• Allows developers to define types, such as discriminated unions or meta-schemas, representing natural language application intents, which typechat uses to match user input to intent.
• Validates that the LLM response conforms to the defined schema; if validation fails, it repairs the non-conforming output through further language model interaction.
• Summarizes the validated instance succinctly without using a LLM to confirm that it aligns with user intent.

Getting started

• Getting started is easy; the library is installable via a simple npm command. Run: npm install typechat.

Evidence and sources

• GitHub project description: TypeChat is a library that makes it easy to build natural language interfaces using types.
• README: Building natural language interfaces has traditionally been difficult. These apps often relied on complex decision trees to determine intent and collect the required inputs to tak…
• README: TypeChat replaces _prompt engineering_ with _schema engineering_. Simply define types that represent the intents supported in your natural language application.
• README: 2. Validating the LLM response conforms to the schema. If the validation fails, repair the non-conforming output through further language model interaction. 3. Summarizing succinc…
• README: Install TypeChat for TypeScript/JavaScript: ``` npm install typechat ```

Reviewed at: 2026-07-18T04:27:58Z