ai

The AI Toolkit for TypeScript. From the creators of Next.js, the AI SDK is a free open-source library for building AI-powered applications and agents

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The Vercel AI SDK is a library for building AI-powered streaming text and chat UIs. It provides React, Svelte, Vue, and Solid helpers for streaming text responses and building chat and completion UIs. The SDK also includes a React Server Components API for streaming Generative UI and first-class support for various AI providers such as OpenAI, Anthropic, Mistral, Perplexity, AWS Bedrock, Azure, Google Gemini, Hugging Face, Fireworks, Cohere, LangChain, Replicate, Ollama, and more. Additionally, it offers Node.js, Serverless, and Edge Runtime support, as well as lifecycle callbacks for saving completed streaming responses to a database in the same request.

README:

AI SDK

The AI SDK is a TypeScript toolkit designed to help you build AI-powered applications using popular frameworks like Next.js, React, Svelte, Vue and runtimes like Node.js.

To learn more about how to use the AI SDK, check out our API Reference and Documentation.

Installation

You will need Node.js 18+ and pnpm installed on your local development machine.

npm install ai

Usage

AI SDK Core

The AI SDK Core module provides a unified API to interact with model providers like OpenAI, Anthropic, Google, and more.

You will then install the model provider of your choice.

npm install @ai-sdk/openai

@/index.ts (Node.js Runtime)

import { generateText } from 'ai';
import { openai } from '@ai-sdk/openai'; // Ensure OPENAI_API_KEY environment variable is set

const { text } = await generateText({
  model: openai('gpt-4o'),
  system: 'You are a friendly assistant!',
  prompt: 'Why is the sky blue?',
});

console.log(text);

AI SDK UI

The AI SDK UI module provides a set of hooks that help you build chatbots and generative user interfaces. These hooks are framework agnostic, so they can be used in Next.js, React, Svelte, and Vue.

You need to install the package for your framework:

npm install @ai-sdk/react

@/app/page.tsx (Next.js App Router)

'use client';

import { useState } from 'react';
import { useChat } from '@ai-sdk/react';

export default function Page() {
  const { messages, status, sendMessage } = useChat();
  const [input, setInput] = useState('');
  const handleSubmit = e => {
    e.preventDefault();
    sendMessage({ text: input });
    setInput('');
  };

  return (
    <div>
      {messages.map(message => (
        <div key={message.id}>
          <strong>{`${message.role}: `}</strong>
          {message.parts.map((part, index) => {
            switch (part.type) {
              case 'text':
                return <span key={index}>{part.text}</span>;

              // other cases can handle images, tool calls, etc
            }
          })}
        </div>
      ))}

      <form onSubmit={handleSubmit}>
        <input
          value={input}
          placeholder="Send a message..."
          onChange={e => setInput(e.target.value)}
          disabled={status !== 'ready'}
        />
      </form>
    </div>
  );
}

@/app/api/chat/route.ts (Next.js App Router)

import { streamText } from 'ai';
import { openai } from '@ai-sdk/openai';

export async function POST(req: Request) {
  const { messages } = await req.json();

  const result = streamText({
    model: openai('gpt-4o'),
    system: 'You are a helpful assistant.',
    messages,
  });

  return result.toUIMessageStreamResponse();
}

Templates

We've built templates that include AI SDK integrations for different use cases, providers, and frameworks. You can use these templates to get started with your AI-powered application.

Community

The AI SDK community can be found on GitHub Discussions where you can ask questions, voice ideas, and share your projects with other people.

Contributing

Contributions to the AI SDK are welcome and highly appreciated. However, before you jump right into it, we would like you to review our Contribution Guidelines to make sure you have smooth experience contributing to AI SDK.

Authors

This library is created by Vercel and Next.js team members, with contributions from the Open Source Community.

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