vercel
AI SDK
The AI SDK is a TypeScript toolkit designed to help you build AI-powered applications and agents 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 npm (or another package manager) installed on your local development machine.
npm install aiUnified Provider Architecture
The AI SDK provides a unified API to interact with model providers like OpenAI, Anthropic, Google, and more.
npm install @ai-sdk/openai @ai-sdk/anthropic @ai-sdk/googleAlternatively you can use the Vercel AI Gateway.
Usage
Generating Text
import { generateText } from 'ai';
const { text } = await generateText({
model: 'openai/gpt-5', // use Vercel AI Gateway
prompt: 'What is an agent?',
});import { generateText } from 'ai';
import { openai } from '@ai-sdk/openai';
const { text } = await generateText({
model: openai('gpt-5'), // use OpenAI Responses API directly
prompt: 'What is an agent?',
});Generating Structured Data
import { generateObject } from 'ai';
import { z } from 'zod';
const { object } = await generateObject({
model: 'openai/gpt-5',
schema: z.object({
recipe: z.object({
name: z.string(),
ingredients: z.array(z.object({ name: z.string(), amount: z.string() })),
steps: z.array(z.string()),
}),
}),
prompt: 'Generate a lasagna recipe.',
});UI Integration
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, e.g.:
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 the Vercel Community 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.