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统一多模型接入的全栈 TypeScript AI 工具包,消除碎片化集成成本。

Fork: 5093 Star: 26631 (更新于 2026-09-08 09:36:46)

license: NOASSERTION

Language: TypeScript .

最后发布版本: @ai-sdk/[email protected] ( 2026-09-06 02:26:03)

官方网址 GitHub网址

Vercel AI SDK 为 TypeScript 生态提供了全栈 AI 开发工具。通过统一 API 抽象层屏蔽 OpenAI、Anthropic、Google 等 20+ 模型提供商的差异,开发者无需为每个服务重写调用逻辑。配合 React、Vue、Svelte 等框架的原生钩子(useChat、useCompletion),可快速构建具备流式响应和工具调用能力的 AI 应用。当前周下载量超 300 万次,已成为 JS/TS 生态中仅次于 OpenAI 的流行 AI 编程工具。

  • 统一多模型 API 调用
  • 降低多提供商切换成本
  • 支持主流前端框架集成
  • 提升流式响应开发效率
  • 保障端到端类型安全
  • 提供开箱即用的 UI 钩子

The AI Toolkit for TypeScript. From the creators of Next.js, the AI SDK is a free open-source library for building AI-powered applications and agents

hero illustration

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 ai

Skill 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/ai

Unified 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/google
import { 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/react

Agent @/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 <div>Generating image...</div>;
    case 'output-available':
      return <img src={`data:image/png;base64,${invocation.output.result}`} />;
  }
}

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<ImageGenerationAgentMessage>();

  const [input, setInput] = useState('');
  const handleSubmit = e => {
    e.preventDefault();
    sendMessage({ text: input });
    setInput('');
  };

  return (
    <div>
      {messages.map(message => (
        <div key={message.id}>
          <strong>{`${message.role}: `}</strong>
          {message.parts.map((part, index) => {
            switch (part.type) {
              case 'text':
                return <div key={index}>{part.text}</div>;
              case 'tool-generateImage':
                return <ImageGenerationView key={index} invocation={part} />;
            }
          })}
        </div>
      ))}

      <form onSubmit={handleSubmit}>
        <input
          value={input}
          onChange={e => setInput(e.target.value)}
          disabled={status !== 'ready'}
        />
      </form>
    </div>
  );
}

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.

最近版本更新:(数据更新于 2026-09-08 09:36:30)

2026-09-06 02:26:03 @ai-sdk/[email protected]

2026-09-06 02:26:00 @ai-sdk/[email protected]

2026-09-06 02:25:57 @ai-sdk/[email protected]

2026-09-06 02:19:37 @ai-sdk/[email protected]

2026-09-06 02:19:33 @ai-sdk/[email protected]

2026-09-06 02:19:23 @ai-sdk/[email protected]

2026-09-06 02:19:20 @ai-sdk/[email protected]

2026-09-06 02:19:17 @ai-sdk/[email protected]

2026-09-05 05:44:08 @ai-sdk/[email protected]

2026-09-05 05:44:05 @ai-sdk/[email protected]

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