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Build LLM-powered agents
with production-ready TypeScript

DSPy for TypeScript. Working with LLMs is complexβ€”they don't always do what you want. DSPy makes it easier to build amazing things with LLMs. Just define your inputs and outputs (signature) and an efficient prompt is auto-generated and used. Connect together various signatures to build complex systems and workflows using LLMs.

15+ LLM Providers
End-to-end Streaming
Auto Prompt Tuning

Ax: Build Reliable AI Apps in TypeScript

Stop wrestling with prompts. Start shipping AI features.

Ax brings DSPy’s revolutionary approach to TypeScript – just describe what you want, and let the framework handle the rest. Production-ready, type-safe, and works with all major LLMs.

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Transform Your AI Development in 30 Seconds

import { ai, ax } from "@ax-llm/ax";

// 1. Pick any LLM
const llm = ai({ name: "openai", apiKey: process.env.OPENAI_APIKEY! });

// 2. Say what you want
const classifier = ax(
  'review:string -> sentiment:class "positive, negative, neutral"',
);

// 3. Get type-safe results
const result = await classifier.forward(llm, {
  review: "This product is amazing!",
});
console.log(result.sentiment); // "positive" ✨

That’s it. No prompt engineering. No trial and error. It works with GPT-4, Claude, Gemini, or any LLM.

Why Thousands of Developers Choose Ax

🎯 Define Once, Run Anywhere

Write your logic once. Switch between OpenAI, Anthropic, Google, or 15+ providers with one line. No rewrites needed.

⚑ Ship 10x Faster

Stop tweaking prompts. Define inputs β†’ outputs. The framework generates optimal prompts automatically.

πŸ›‘οΈ Production-Ready from Day One

Built-in streaming, validation, error handling, observability. Used by startups in production handling millions of requests.

πŸš€ Gets Smarter Over Time

Train your programs with examples. Watch accuracy improve automatically. No ML expertise needed.

Real Apps, Real Simple

Extract Structured Data from Customer Emails

const extractor = ax(`
  customerEmail:string, currentDate:datetime -> 
  priority:class "high, normal, low",
  sentiment:class "positive, negative, neutral",
  ticketNumber?:number,
  nextSteps:string[],
  estimatedResponseTime:string
`);

const result = await extractor.forward(ai, {
  customerEmail: "Order #12345 hasn't arrived. Need this resolved immediately!",
  currentDate: new Date(),
});
// Automatically extracts all fields with proper types and validation

Build Agents That Use Tools (ReAct Pattern)

const assistant = ax(
  "question:string -> answer:string",
  {
    functions: [
      { name: "getCurrentWeather", func: weatherAPI },
      { name: "searchNews", func: newsAPI },
    ],
  },
);

const result = await assistant.forward(ai, {
  question: "What's the weather in Tokyo and any news about it?",
});
// AI automatically calls both functions and combines results

Multi-Modal Analysis with Images

const analyzer = ax(`
  image:image, question:string ->
  description:string,
  mainColors:string[],
  category:class "electronics, clothing, food, other",
  estimatedPrice:string
`);
// Process images and text together seamlessly

Quick Start

Install

npm install @ax-llm/ax

Your First AI Feature (2 minutes)

import { ai, ax } from "@ax-llm/ax";

const llm = ai({ name: "openai", apiKey: process.env.OPENAI_APIKEY! });

const translator = ax(`
  text:string, 
  language:string -> 
  translation:string
`);

const result = await translator.forward(llm, {
  text: "Hello world",
  language: "Spanish",
});
console.log(result.translation); // "Hola mundo"

Powerful Features, Zero Complexity

Learn More

πŸš€ Quick Wins

πŸ“š Deep Dives

Examples

Run any example:

OPENAI_APIKEY=your-key npm run tsx ./src/examples/[example-name].ts

Core Examples

Production Patterns

πŸ“š View Full Examples Guide β†’
View All 70+ Examples β†’

Join the Community

Production Ready

License

MIT - Use it anywhere, build anything.


Ready to build the future? Stop fighting with prompts. Start shipping with signatures.

npm install @ax-llm/ax

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