instructor-js

Structured extraction in Typescript, powered by llms, designed for simplicity, transparency, and control.

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Dive into the world of Typescript-based structured extraction, by OpenAI's function calling API and Zod, typeScript-first schema validation with static type inference. Instructor stands out for its simplicity, transparency, and user-centric design. Whether you're a seasoned developer or just starting out, you'll find Instructor's approach intuitive and steerable.

ℹ️ Tip: Support in other languages

Check out ports to other languages below:

- [Python](https://www.github.com/jxnl/instructor)
- [Elixir](https://github.com/thmsmlr/instructor_ex/)

If you want to port Instructor to another language, please reach out to us on [Twitter](https://twitter.com/jxnlco) we'd love to help you get started!

Usage

import Instructor from "@instructor-ai/instructor";
import OpenAI from "openai"
import { z } from "zod"

const UserSchema = z.object({
  age: z.number(),
  name: z.string()
})

type User = z.infer<typeof UserSchema>

const oai = new OpenAI({
  apiKey: process.env.OPENAI_API_KEY ?? undefined,
  organization: process.env.OPENAI_ORG_ID ?? undefined
})

const client = Instructor({
  client: oai,
  mode: "FUNCTIONS"
})

const user = await client.chat.completions.create({
  messages: [{ role: "user", content: "Jason Liu is 30 years old" }],
  model: "gpt-3.5-turbo",
  response_model: { schema: UserSchema }
})

console.log(user)
// { age: 30, name: "Jason Liu" }

Why use Instructor?

The question of using Instructor is fundamentally a question of why to use zod.

1. Powered by OpenAI — Instructor is powered by OpenAI's function calling API. This means you can use the same API for both prompting and extraction.

2. Customizable — Zod is highly customizable. You can define your own validators, custom error messages, and more.

3. Ecosystem Zod is the most widely used data validation library for Typescript.

4. Battle Tested — Zod is downloaded over 24M times per month, and supported by a large community of contributors.

More Examples

If you'd like to see more check out our cookbook.

Installing Instructor is a breeze.

Contributing

If you want to help out, checkout some of the issues marked as good-first-issue or help-wanted. Found here. They could be anything from code improvements, a guest blog post, or a new cook book.

Checkout the contribution guide for details on how to set things up, testing, changesets and guidelines.

License

This project is licensed under the terms of the MIT License.

TODO

• Add llm_validator
• Logging for Distillation / Finetuning
• Support Streaming
• Optional/Maybe types
• Add Tutorials, include in docs
  • Text Classification
  • Search Queries
  • Query Decomposition
  • Citations
  • Knowledge Graph
  • Self Critique
  • Image Extracting Tables
  • Moderation
  • Entity Resolution
  • Action Item and Dependency Mapping

These translations provide a structured approach to creating TypeScript schemas with Zod, mirroring the functionality and intent of the original Python examples.