Vercel AI SDK Has a Free AI Toolkit — Stream LLM Responses in React with 3 Lines

Vercel AI SDK is a TypeScript toolkit for building AI applications — stream LLM responses, manage conversations, and call tools with type safety.

What You Get for Free

• Streaming — stream tokens to the UI as they're generated
• useChat hook — complete chat UI state management in React
• useCompletion — text completion with streaming
• Tool calling — type-safe function calling with any LLM
• Multi-provider — OpenAI, Anthropic, Google, Mistral, Groq, Ollama
• Structured output — Zod schema validation on LLM responses
• Middleware — logging, caching, rate limiting
• Edge-ready — works on Vercel Edge, Cloudflare Workers

Quick Start

npm install ai @ai-sdk/openai

// app/api/chat/route.ts (Next.js)
import { openai } from '@ai-sdk/openai'
import { streamText } from 'ai'

export async function POST(req: Request) {
  const { messages } = await req.json()
  const result = streamText({
    model: openai('gpt-4o'),
    messages,
  })
  return result.toDataStreamResponse()
}

// app/page.tsx
'use client'
import { useChat } from 'ai/react'

export default function Chat() {
  const { messages, input, handleInputChange, handleSubmit } = useChat()
  return (
    <form onSubmit={handleSubmit}>
      {messages.map(m => <div key={m.id}>{m.role}: {m.content}</div>)}
      <input value={input} onChange={handleInputChange} />
    </form>
  )
}

Why Developers Switch from Rolling Their Own

Building AI chat from scratch = managing SSE, parsing chunks, handling errors:

• 3 lines — useChat() handles messages, loading, errors
• Multi-provider — swap OpenAI for Anthropic by changing one line
• Tool calling — type-safe function execution
• Streaming — automatic token-by-token rendering

A developer spent 3 days building custom SSE streaming, message management, and error handling. After Vercel AI SDK: 20 lines of code, same features, works out of the box.

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