AI SDK
The AI SDK is a provider-agnostic TypeScript toolkit designed to help you build AI-powered applications and agents using popular UI frameworks like Next.js, React, Svelte, Vue, Angular, 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 22+ and npm (or another package manager) installed on your local development machine.
npm install aiSkill for Coding Agents
If you use coding agents such as Claude Code or Cursor, we highly recommend adding the AI SDK skill to your repository:
npx skills add vercel/aiUnified Provider Architecture
The AI SDK provides a unified API to interact with model providers like OpenAI, Anthropic, Google, and more.
By default, the AI SDK uses the Vercel AI Gateway to give you access to all major providers out of the box. Just pass a model string for any supported model:
const result = await generateText({
model: 'anthropic/claude-opus-4.6', // or 'openai/gpt-5.4', 'google/gemini-3-flash', etc.
prompt: 'Hello!',
});You can also connect to providers directly using their SDK packages:
npm install @ai-sdk/openai @ai-sdk/anthropic @ai-sdk/googleimport { anthropic } from '@ai-sdk/anthropic';
const result = await generateText({
model: anthropic('claude-opus-4-6'), // or openai('gpt-5.4'), google('gemini-3-flash'), etc.
prompt: 'Hello!',
});Usage
Generating Text
import { generateText } from 'ai';
const { text } = await generateText({
model: 'openai/gpt-5.4', // use Vercel AI Gateway
prompt: 'What is an agent?',
});Generating Structured Data
import { generateText, Output } from 'ai';
import { z } from 'zod';
const { output } = await generateText({
model: 'openai/gpt-5.4',
output: Output.object({
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.',
});Agents
import { ToolLoopAgent } from 'ai';
const sandboxAgent = new ToolLoopAgent({
model: 'openai/gpt-5.4',
system: 'You are an agent with access to a shell environment.',
tools: {
shell: openai.tools.localShell({
execute: async ({ action }) => {
const [cmd, ...args] = action.command;
const sandbox = await getSandbox(); // Vercel Sandbox
const command = await sandbox.runCommand({ cmd, args });
return { output: await command.stdout() };
},
}),
},
});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/reactAgent @/agent/image-generation-agent.ts
import { openai } from '@ai-sdk/openai';
import { ToolLoopAgent, InferAgentUIMessage } from 'ai';
export const imageGenerationAgent = new ToolLoopAgent({
model: 'openai/gpt-5.4',
tools: {
generateImage: openai.tools.imageGeneration({
partialImages: 3,
}),
},
});
export type ImageGenerationAgentMessage = InferAgentUIMessage<
typeof imageGenerationAgent
>;Route (Next.js App Router) @/app/api/chat/route.ts
import { imageGenerationAgent } from '@/agent/image-generation-agent';
import { createAgentUIStreamResponse } from 'ai';
export async function POST(req: Request) {
const { messages } = await req.json();
return createAgentUIStreamResponse({
agent: imageGenerationAgent,
messages,
});
}UI Component for Tool @/component/image-generation-view.tsx
import { openai } from '@ai-sdk/openai';
import { UIToolInvocation } from 'ai';
export default function ImageGenerationView({
invocation,
}: {
invocation: UIToolInvocation<ReturnType<typeof openai.tools.imageGeneration>>;
}) {
switch (invocation.state) {
case 'input-available':
return Generating image...;
case 'output-available':
return ;
}
}Page @/app/page.tsx
'use client';
import { ImageGenerationAgentMessage } from '@/agent/image-generation-agent';
import ImageGenerationView from '@/component/image-generation-view';
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 (
{messages.map(message => (
**{`${message.role}: `}**
{message.parts.map((part, index) => {
switch (part.type) {
case 'text':
return {part.text};
case 'tool-generateImage':
return ;
}
})}
))}
<form onSubmit={handleSubmit}>
setInput(e.target.value)}
disabled={status !== 'ready'}
/>
</form>
);
}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.