A comprehensive TypeScript SDK that enables developers to build AI-powered applications and agents across React, Next.js, Vue, Svelte, and Node.js with unified provider APIs and streaming capabilities.
Switch between AI providers by changing a single line of code
Create dynamic, AI-powered user interfaces with React components
Real-time AI response streaming for instant user feedback
Works seamlessly across React, Vue, Svelte, and more
Full TypeScript support with comprehensive type definitions
Optimized for edge computing and serverless environments
Dependencies: Framework-specific packages, AI provider credentials
Supported integrations and platforms
The Vercel AI SDK has become the go-to choice for building AI-powered web applications, offering excellent developer experience with comprehensive TypeScript support and seamless framework integration.
Reviewed by Web Development Community
The Vercel AI SDK has revolutionized how developers build AI-powered web applications, providing a unified, type-safe interface for integrating AI capabilities across the entire JavaScript ecosystem.
One of the SDK's standout features is its unified API that abstracts away the differences between AI providers. This means you can start with OpenAI and seamlessly switch to Anthropic, Google AI, or any other supported provider without rewriting your application logic.
Whether you're building with React, Next.js, Vue, Svelte, or even vanilla Node.js, the AI SDK provides framework-specific optimizations while maintaining a consistent developer experience.
The SDK's streaming capabilities ensure users see AI responses in real-time, creating engaging experiences that feel responsive and interactive.
npm install ai
import { useChat } from 'ai/react'
export default function Chat() {
const { messages, input, handleInputChange, handleSubmit } = useChat()
return (
<div>
{messages.map(message => (
<div key={message.id}>
<strong>{message.role}:</strong> {message.content}
</div>
))}
<form onSubmit={handleSubmit}>
<input value={input} onChange={handleInputChange} />
<button type="submit">Send</button>
</form>
</div>
)
}
import { generateObject } from 'ai'
import { WeatherCard } from './components/WeatherCard'
const result = await generateObject({
model: openai('gpt-4'),
schema: z.object({
location: z.string(),
temperature: z.number(),
condition: z.string(),
}),
prompt: 'Get current weather for San Francisco',
})
return <WeatherCard {...result.object} />
import { openai } from '@ai-sdk/openai'
import { streamText } from 'ai'
export async function POST(req: Request) {
const { messages } = await req.json()
const result = await streamText({
model: openai('gpt-4'),
messages,
})
return result.toAIStreamResponse()
}
// Easy provider switching
import { openai } from '@ai-sdk/openai'
import { anthropic } from '@ai-sdk/anthropic'
// Use OpenAI
const openaiResult = await generateText({
model: openai('gpt-4'),
prompt: 'Hello world'
})
// Switch to Anthropic with same API
const anthropicResult = await generateText({
model: anthropic('claude-3-5-sonnet-20241022'),
prompt: 'Hello world'
})
The Vercel AI SDK has become essential for modern web development teams building AI-powered applications, offering the perfect balance of simplicity and power needed for production applications.
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