Why it matters
- 1M+ npm downloads per week makes it the most widely used TypeScript AI SDK — extensive community resources, tutorials, and examples.
- React hooks (
useChat, useCompletion) eliminate the boilerplate of building streaming chat interfaces — 10 lines of code instead of 100.
- Provider-agnostic unified API enables switching from GPT-4 to Claude to Gemini without changing application logic — just swap the model string.
- Full TypeScript types for all providers means autocomplete, type checking, and better developer experience than raw fetch calls.
Key capabilities
- generateText/streamText: LLM text generation with streaming; works across all providers.
- generateObject: Structured output with Zod schema validation — type-safe JSON from LLMs.
- Tool use: Define and call tools with any supported model; automatic tool call loops.
- useChat hook: React hook for building chat UIs; handles streaming, messages, input state.
- useCompletion hook: React hook for text completion UIs with streaming.
- Multi-provider: 20+ providers with a unified API interface.
- Server Actions: Next.js 14+ Server Actions integration for streaming from React Server Components.
- Image generation: DALL-E, Stability AI image generation via the same SDK.
- Embeddings: Create vector embeddings for RAG.
Technical notes
- Package:
npm install ai
- License: MIT
- GitHub: github.com/vercel/ai
- Stars: 28K+
- Weekly downloads: 1M+ (npmjs.com/package/ai)
- Providers: OpenAI, Anthropic, Google, Groq, Mistral, Together, Fireworks, 15+ more
- Runtimes: Next.js, React, Vue, Svelte, Node.js, Deno, Bun, Edge
Usage example
// Streaming chat with React hook
import { useChat } from 'ai/react';
export function ChatComponent() {
const { messages, input, handleInputChange, handleSubmit } = useChat();
return (
<div>
{messages.map(m => <div key={m.id}>{m.content}</div>)}
<form onSubmit={handleSubmit}>
<input value={input} onChange={handleInputChange} />
<button type="submit">Send</button>
</form>
</div>
);
}
// Server-side streaming with tool use
import { streamText, tool } from 'ai';
import { openai } from '@ai-sdk/openai';
import { z } from 'zod';
const result = streamText({
model: openai('gpt-4o'),
tools: {
getWeather: tool({
description: 'Get the weather for a location',
parameters: z.object({ location: z.string() }),
execute: async ({ location }) => getWeatherData(location)
})
},
prompt: 'What is the weather in Tokyo?'
});
Ideal for
- TypeScript/React developers building AI-powered web apps who want streaming chat UIs with minimal boilerplate.
- Next.js teams who want native Server Actions integration for streaming AI responses.
- Teams building multi-provider AI applications who want to switch between GPT-4, Claude, and Gemini without code changes.
Not ideal for
- Python developers — Vercel AI SDK is TypeScript/JavaScript only; use LangChain, LlamaIndex, or provider SDKs.
- Complex agent pipelines with many tools and orchestration — LangChain has more agent primitives and integrations.
- RAG applications requiring extensive retrieval tooling — LlamaIndex has more retrieval-focused features.
See also