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Turn natural-language input into typed data that applications can validate and act on

OSS scale score 221.5OSS health 86Update pace 0 commits/30d
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Stars
8,689
Primary language
TypeScript
License
MIT
Repository last updated
Sep 29, 2026
On this page

Overview

TypeChat is a library for translating a user’s natural-language input into typed data that an application can process. Supported intents are expressed with TypeScript types or Zod schemas, and the library coordinates the model request, response validation, and repair of output that does not match the schema.

Features and best fit

Based on official documentation; not hands-on tested · Content checked:

Key features

Define supported intents as types and validate model output

Once an application defines its accepted intents as types, TypeChat constructs a prompt containing those types and checks whether the model response conforms to the schema. When validation fails, it can use the validation result to ask the model to repair the response.

Sources: [2]

Grow from small classifiers to hierarchical intent schemas

Schemas can represent a small sentiment classifier or richer domains such as orders, calendars, and music actions. Developers can extend discriminated unions or use a meta-schema that selects one or more sub-schemas from the input, allowing the interface to expand without replacing the core approach.

Sources: [2][4]

Best fit

Fits natural-language interfaces that must hand validated data to existing logic

TypeChat is useful when free-form chat input needs to become validated JSON or typed objects before existing application code acts on it. It also fits teams that want accepted operations to be reviewable as schemas instead of relying only on increasingly complex prompt instructions.

Sources: [2]

Before adoption

Schema conformance does not guarantee factual or operational safety

Validation constrains output shape, but it does not prove that values are true or that an action is authorized. Applications still need permission checks, domain validation, and user confirmation around consequential operations. The current TypeScript package requires Node.js 22.19.0 or newer, and model endpoints and credentials are configured separately.

Sources: [2][5][4]

Official sources

  1. [1]microsoft/TypeChat repository metadata(2026-10-04)
  2. [2]TypeChat README at 83caa124(2026-10-04)
  3. [3]TypeChat TypeScript README at 83caa124(2026-10-04)
  4. [4]TypeChat examples guide at 83caa124(2026-10-04)
  5. [5]TypeChat TypeScript package manifest at 83caa124(2026-10-04)
  6. [6]TypeChat MIT license at 83caa124(2026-10-04)
Supplemental curator note

When comparing natural-language interface libraries, look beyond model accuracy to whether accepted operations can be represented in reviewable code. TypeChat puts types at that boundary, but authorization and business-rule validation remain application responsibilities.

Try it in 3 steps

  1. 1

    Check out the reviewed source revision

    Use the same commit reviewed for the instructions and dependency requirements.

    git clone https://github.com/microsoft/TypeChat.git && cd TypeChat && git checkout 83caa1242d9a9a707a4a66bfbc5fe6174cbcb8dc
  2. 2

    Install the TypeScript workspace dependencies

    Use Node.js 22.19.0 or newer. Building does not require a model API key.

    cd typescript && npm install
  3. 3

    Build the library and examples

    Verify the full workspace before configuring credentials and calling an external model.

    npm run build-all
Check the official README

Growth

Growth trends · Last 30 days

8,689 Stars

Trend data is still being collected.

Development activity

Last 90 days · weekly

Commits (last 30 days)
0
Open PRs
16

Development activity is still being collected.

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GitHub data

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GitHub Topics

  • ai
  • llm
  • natural-language
  • types
Stars
8,689
Forks
414
Watchers
56
Open issues
57
Contributors
39
Owner type
Organization
Primary language
TypeScript
License
MIT
Repository last updated
Sep 29, 2026
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