Vercel AI SDK for building chat interfaces with streaming. Use when implementing useChat hook, handling tool calls, streaming responses, or building chat UI. Triggers on useChat, @ai-sdk/react, UIMessage, ChatStatus, streamText, toUIMessageStreamResponse, addToolOutput, onToolCall, sendMessage.
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---
name: vercel-ai-sdk
description: Vercel AI SDK for building chat interfaces with streaming. Use when implementing useChat hook, handling tool calls, streaming responses, or building chat UI. Triggers on useChat, @ai-sdk/react, UIMessage, ChatStatus, streamText, toUIMessageStreamResponse, addToolOutput, onToolCall, sendMessage.
---
# Vercel AI SDK
The Vercel AI SDK provides React hooks and server utilities for building streaming chat interfaces with support for tool calls, file attachments, and multi-step reasoning.
## Quick Reference
### Basic useChat Setup
```typescript
import { useChat } from '@ai-sdk/react';
const { messages, status, sendMessage, stop, regenerate } = useChat({
id: 'chat-id',
messages: initialMessages,
onFinish: ({ message, messages, isAbort, isError }) => {
console.log('Chat finished');
},
onError: (error) => {
console.error('Chat error:', error);
}
});
// Send a message
sendMessage({ text: 'Hello', metadata: { createdAt: Date.now() } });
// Send with files
sendMessage({
text: 'Analyze this',
files: fileList // FileList or FileUIPart[]
});
```
### ChatStatus States
The `status` field indicates the current state of the chat:
- **`ready`**: Chat is idle and ready to accept new messages
- **`submitted`**: Message sent to API, awaiting response stream start
- **`streaming`**: Response actively streaming from the API
- **`error`**: An error occurred during the request
### Message Structure
Messages use the `UIMessage` type with a parts-based structure:
```typescript
interface UIMessage {
id: string;
role: 'system' | 'user' | 'assistant';
metadata?: unknown;
parts: Array<UIMessagePart>; // text, file, tool-*, reasoning, etc.
}
```
Part types include:
- `text`: Text content with optional streaming state
- `file`: File attachments (images, documents)
- `tool-{toolName}`: Tool invocations with state machine
- `reasoning`: AI reasoning traces
- `data-{typeName}`: Custom data parts
### Server-Side Streaming
```typescript
import { streamText } from 'ai';
import { convertToModelMessages } from 'ai';
const result = streamText({
model: openai('gpt-4'),
messages: convertToModelMessages(uiMessages),
tools: {
getWeather: tool({
description: 'Get weather',
inputSchema: z.object({ city: z.string() }),
execute: async ({ city }) => {
return { temperature: 72, weather: 'sunny' };
}
})
}
});
return result.toUIMessageStreamResponse({
originalMessages: uiMessages,
onFinish: ({ messages }) => {
// Save to database
}
});
```
### Tool Handling Patterns
**Client-Side Tool Execution:**
```typescript
const { addToolOutput } = useChat({
onToolCall: async ({ toolCall }) => {
if (toolCall.toolName === 'getLocation') {
addToolOutput({
tool: 'getLocation',
toolCallId: toolCall.toolCallId,
output: 'San Francisco'
});
}
}
});
```
**Rendering Tool States:**
```typescript
{message.parts.map(part => {
if (part.type === 'tool-getWeather') {
switch (part.state) {
case 'input-streaming':
return <pre>{JSON.stringify(part.input, null, 2)}</pre>;
case 'input-available':
return <div>Getting weather for {part.input.city}...</div>;
case 'output-available':
return <div>Weather: {part.output.weather}</div>;
case 'output-error':
return <div>Error: {part.errorText}</div>;
}
}
})}
```
## Reference Files
Detailed documentation on specific aspects:
- **[use-chat.md](references/use-chat.md)**: Complete useChat API reference
- **[messages.md](references/messages.md)**: UIMessage structure and part types
- **[streaming.md](references/streaming.md)**: Server-side streaming implementation
- **[tools.md](references/tools.md)**: Tool definition and execution patterns
## Common Patterns
### Error Handling
```typescript
const { error, clearError } = useChat({
onError: (error) => {
toast.error(error.message);
}
});
// Clear error and reset to ready state
if (error) {
clearError();
}
```
### Message Regeneration
```typescript
const { regenerate } = useChat();
// Regenerate last assistant message
await regenerate();
// Regenerate specific message
await regenerate({ messageId: 'msg-123' });
```
### Custom Transport
```typescript
import { DefaultChatTransport } from 'ai';
const { messages } = useChat({
transport: new DefaultChatTransport({
api: '/api/chat',
prepareSendMessagesRequest: ({ id, messages, trigger, messageId }) => ({
body: {
chatId: id,
lastMessage: messages[messages.length - 1],
trigger,
messageId
}
})
})
});
```
### Performance Optimization
```typescript
// Throttle UI updates to reduce re-renders
const chat = useChat({
experimental_throttle: 100 // Update max once per 100ms
});
```
### Automatic Message Sending
```typescript
import { lastAssistantMessageIsCompleteWithToolCalls } from 'ai';
const chat = useChat({
sendAutomaticallyWhen: lastAssistantMessageIsCompleteWithToolCalls
// Automatically resend when all tool calls have outputs
});
```
## Type Safety
The SDK provides full type inference for tools and messages:
```typescript
import { InferUITools, UIMessage } from 'ai';
const tools = {
getWeather: tool({
inputSchema: z.object({ city: z.string() }),
execute: async ({ city }) => ({ weather: 'sunny' })
})
};
type MyMessage = UIMessage<
{ createdAt: number }, // Metadata type
UIDataTypes,
InferUITools<typeof tools> // Tool types
>;
const { messages } = useChat<MyMessage>();
```
## Key Concepts
### Parts-Based Architecture
Messages use a parts array instead of a single content field. This allows:
- Streaming text while maintaining other parts
- Tool calls with independent state machines
- File attachments and custom data mixed with text
### Tool State Machine
Tool parts progress through states:
1. `input-streaming`: Tool input streaming (optional)
2. `input-available`: Tool input complete
3. `approval-requested`: Waiting for user approval (optional)
4. `approval-responded`: User approved/denied (optional)
5. `output-available`: Tool execution complete
6. `output-error`: Tool execution failed
7. `output-denied`: User denied approval
### Streaming Protocol
The SDK uses Server-Sent Events (SSE) with UIMessageChunk types:
- `text-start`, `text-delta`, `text-end`
- `tool-input-available`, `tool-output-available`
- `reasoning-start`, `reasoning-delta`, `reasoning-end`
- `start`, `finish`, `abort`
### Client vs Server Tools
**Server-side tools** have an `execute` function and run on the API route.
**Client-side tools** omit `execute` and are handled via `onToolCall` and `addToolOutput`.
## Gates
Use this **sequence**; treat a step as incomplete until the pass condition is true in code or UI (not “should work”).
1. **Streaming route** — *Pass if:* the chat handler chains `convertToModelMessages` → `streamText` (or the SDK pattern your app standardizes) → `toUIMessageStreamResponse` (or equivalent stream response). *Fail if:* responses are plain JSON strings without the UI message stream contract.
2. **Client ↔ route** — *Pass if:* `useChat` `id` / `DefaultChatTransport` `api` (and `prepareSendMessagesRequest` body) matches the route path and the body the server reads. *Fail if:* client posts to a different path or shape than the handler expects.
3. **Tools closed loop** — *Pass if:* every tool in `tools` has server `execute` **or** `onToolCall` + `addToolOutput` with the same `toolCallId`, and the UI handles the `tool-*` part states you surface. *Fail if:* a tool name exists in `tools` but has no handler or missing states in the renderer.
4. **Persistence (if any)** — *Pass if:* before saving, the server runs `validateUIMessages` (or stricter validation). *Fail if:* unvalidated client payloads are written to storage.
## Best Practices
1. Always handle the `error` state and provide user feedback
2. Use `experimental_throttle` for high-frequency updates
3. Implement proper loading states based on `status`
4. Type your messages with custom metadata and tools
5. Use `sendAutomaticallyWhen` for multi-turn tool workflows
6. Handle all tool states in the UI for better UX
7. Use `stop()` to allow users to cancel long-running requests
8. Validate messages with `validateUIMessages` on the server