The Vercel AI SDK is a library for building edge-ready AI-powered streaming text and chat UIs.
- SWR-powered React, Svelte and Vue helpers for streaming text responses and building chat and completion UIs
- First-class support for LangChain and OpenAI, Anthropic, and Hugging Face
- Node.js, Serverless, and Edge Runtime support
- Callbacks for saving completed streaming responses to a database (in the same request)
pnpm install aiView the full documentation and examples on sdk.vercel.ai/docs
With the Vercel AI SDK, you can build a ChatGPT-like app in just a few lines of code:
// ./app/api/chat/route.js
import { Configuration, OpenAIApi } from 'openai-edge'
import { OpenAIStream, StreamingTextResponse } from 'ai'
const config = new Configuration({
apiKey: process.env.OPENAI_API_KEY
})
const openai = new OpenAIApi(config)
export const runtime = 'edge'
export async function POST(req) {
const { messages } = await req.json()
const response = await openai.createChatCompletion({
model: 'gpt-4',
stream: true,
messages
})
const stream = OpenAIStream(response)
return new StreamingTextResponse(stream)
}// ./app/page.js
'use client'
import { useChat } from 'ai/react'
export default function Chat() {
const { messages, input, handleInputChange, handleSubmit } = useChat()
return (
<div>
{messages.map(m => (
<div key={m.id}>
{m.role}: {m.content}
</div>
))}
<form onSubmit={handleSubmit}>
<input
value={input}
placeholder="Say something..."
onChange={handleInputChange}
/>
</form>
</div>
)
}View the full documentation and examples on sdk.vercel.ai/docs
This library is created by Vercel and Next.js team members, with contributions from:
- Jared Palmer (@jaredpalmer) - Vercel
- Shu Ding (@shuding_) - Vercel
- Max Leiter (@max_leiter) - Vercel
- Malte Ubl (@cramforce) - Vercel
- Justin Ridgewell (@jridgewell) - Vercel