ai-sdk-ui

What this skill does

# AI SDK UI - Frontend React Hooks

Frontend React hooks for AI-powered user interfaces with Vercel AI SDK v5.

**Version**: AI SDK v5.0.116 (Stable)
**Framework**: React 18+, Next.js 15+
**Last Updated**: 2025-12-22

## Table of Contents
1. [Quick Start](#quick-start-5-minutes)
2. [When to Load References](#when-to-load-references)
3. [useChat Hook](#usechat-hook---complete-reference)
4. [useCompletion Hook](#usecompletion-hook---complete-reference)
5. [useObject Hook](#useobject-hook---complete-reference)
6. [Next.js Integration](#nextjs-integration)
7. [Top UI Errors & Solutions](#top-ui-errors--solutions)
8. [Streaming Best Practices](#streaming-best-practices)
9. [When to Use This Skill](#when-to-use-this-skill)
10. [Package Versions](#package-versions)

---

## Quick Start (5 Minutes)

### Installation

```bash
bun add ai @ai-sdk/openai  # preferred
# or: bun add ai @ai-sdk/openai
```

### Basic Chat Component (v5)

```tsx
// app/chat/page.tsx
'use client';
import { useChat } from 'ai/react';
import { useState, FormEvent } from 'react';

export default function Chat() {
  const { messages, sendMessage, isLoading } = useChat({
    api: '/api/chat',
  });
  const [input, setInput] = useState('');

  const handleSubmit = (e: FormEvent) => {
    e.preventDefault();
    sendMessage({ content: input });
    setInput('');
  };

  return (
    <div>
      <div>
        {messages.map(m => (
          <div key={m.id}>
            <strong>{m.role}:</strong> {m.content}
          </div>
        ))}
      </div>
      <form onSubmit={handleSubmit}>
        <input
          value={input}
          onChange={(e) => setInput(e.target.value)}
          placeholder="Type a message..."
          disabled={isLoading}
        />
      </form>
    </div>
  );
}
```

### API Route (Next.js App Router)

```typescript
// app/api/chat/route.ts
import { streamText } from 'ai';
import { openai } from '@ai-sdk/openai';

export async function POST(req: Request) {
  const { messages } = await req.json();

  const result = streamText({
    model: openai('gpt-4-turbo'),
    messages,
  });

  return result.toDataStreamResponse();
}
```

**Result**: A functional chat interface with streaming AI responses in ~10 lines of frontend code.

---

## When to Load References

For detailed implementation guides, API references, and advanced patterns, load the following reference files:

| Reference File | Load When... |
|----------------|--------------|
| `references/use-chat-migration.md` | Migrating from v4 to v5, understanding breaking changes |
| `references/streaming-patterns.md` | UI streaming best practices, performance optimization |
| `references/top-ui-errors.md` | Debugging common UI errors, error prevention |
| `references/nextjs-integration.md` | Next.js setup patterns, App vs Pages Router differences |
| `references/links-to-official-docs.md` | Finding official Vercel AI SDK documentation |
| `references/tool-calling-ui.md` | Implementing tool/function calling in chat UI |
| `references/file-attachments-guide.md` | Adding file upload/attachment support to chat |
| `references/message-persistence.md` | Persisting chat history with localStorage |
| `references/use-completion-full-reference.md` | Complete useCompletion API and examples |
| `references/use-object-full-reference.md` | Complete useObject API with Zod schemas |
| `references/nextjs-app-router-full.md` | Full Next.js App Router implementation |
| `references/nextjs-pages-router-full.md` | Full Next.js Pages Router implementation |

---

## useChat Hook - Complete Reference

### Basic Usage (v5 Pattern)

```tsx
'use client';
import { useChat } from 'ai/react';
import { useState, FormEvent } from 'react';

export default function ChatComponent() {
  const { messages, sendMessage, isLoading, error } = useChat({
    api: '/api/chat',
  });
  const [input, setInput] = useState('');

  const handleSubmit = (e: FormEvent) => {
    e.preventDefault();
    if (!input.trim()) return;

    sendMessage({ content: input });
    setInput('');
  };

  return (
    <div className="flex flex-col h-screen">
      {/* Messages */}
      <div className="flex-1 overflow-y-auto p-4">
        {messages.map(message => (
          <div
            key={message.id}
            className={message.role === 'user' ? 'text-right' : 'text-left'}
          >
            <div className="inline-block p-2 rounded bg-gray-100">
              {message.content}
            </div>
          </div>
        ))}
        {isLoading && <div className="text-gray-500">AI is thinking...</div>}
      </div>

      {/* Input */}
      <form onSubmit={handleSubmit} className="p-4 border-t">
        <input
          value={input}
          onChange={(e) => setInput(e.target.value)}
          placeholder="Type a message..."
          disabled={isLoading}
          className="w-full p-2 border rounded"
        />
      </form>

      {/* Error */}
      {error && <div className="text-red-500 p-4">{error.message}</div>}
    </div>
  );
}
```

### Full API Reference

```typescript
const {
  // Messages
  messages,           // Message[] - Chat history
  setMessages,        // (messages: Message[]) => void - Update messages

  // Actions
  sendMessage,        // (message: { content: string }) => void - Send message (v5)
  reload,             // () => void - Reload last response
  stop,               // () => void - Stop current generation

  // State
  isLoading,          // boolean - Is AI responding?
  error,              // Error | undefined - Error if any

  // Data
  data,               // any[] - Custom data from stream
  metadata,           // object - Response metadata
} = useChat({
  // Required
  api: '/api/chat',   // API endpoint

  // Optional
  id: 'chat-1',       // Chat ID for persistence
  initialMessages: [], // Initial messages (controlled mode)

  // Callbacks
  onFinish: (message, options) => {},  // Called when response completes
  onError: (error) => {},              // Called on error

  // Configuration
  headers: {},        // Custom headers
  body: {},           // Additional body data
  credentials: 'same-origin', // Fetch credentials

  // Streaming
  streamProtocol: 'data', // 'data' | 'text' (default: 'data')
});
```

### v4 → v5 Breaking Changes

**CRITICAL: useChat no longer manages input state in v5!**

**v4 (OLD - DON'T USE):**
```tsx
const { messages, input, handleInputChange, handleSubmit, append } = useChat();

<form onSubmit={handleSubmit}>
  <input value={input} onChange={handleInputChange} />
</form>
```

**v5 (NEW - CORRECT):**
```tsx
const { messages, sendMessage } = useChat();
const [input, setInput] = useState('');

<form onSubmit={(e) => {
  e.preventDefault();
  sendMessage({ content: input });
  setInput('');
}}>
  <input value={input} onChange={(e) => setInput(e.target.value)} />
</form>
```

**Summary of v5 Changes:**
1. **Input management removed**: `input`, `handleInputChange`, `handleSubmit` no longer exist
2. **`append()` → `sendMessage()`**: New method for sending messages
3. **`onResponse` removed**: Use `onFinish` instead
4. **`initialMessages` → controlled mode**: Use `messages` prop for full control
5. **`maxSteps` removed**: Handle on server-side only

See `references/use-chat-migration.md` for complete migration guide.

**Advanced Features:** useChat supports tool calling (display `message.toolInvocations`), file attachments (`experimental_attachments`), and message persistence (localStorage with `id` + `initialMessages`). See [official docs](https://sdk.vercel.ai/docs/ai-sdk-ui/chatbot) for implementation examples.

---

## useCompletion & useObject Hooks

**useCompletion**: For single-prompt completions (not multi-turn chat). Returns `{ completion, complete, isLoading }`. Call `complete(prompt)` to generate. API route uses `streamText()`.

**useObject**: Stream structured JSON with live updates using Zod schemas. Returns `{ object, submit, isLoading }` where `object` is `Partial<T>` that updates progressi