Build React chat interfaces with Vercel AI SDK v6. Covers useChat/useCompletion/useObject hooks, message parts structure, tool approval workflows, and 18 UI error solutions. Prevents documented issues with React Strict Mode, concurrent requests, stale closures, and tool approval edge cases. Use when: implementing AI chat UIs, migrating v5→v6, troubleshooting "useChat failed to parse stream", "stale body values", "React maximum update depth", "Cannot read properties of undefined (reading 'state')", or tool approval workflow errors.
数据来源:ClawHub。 在 ClawSkills 查看
选择你使用的 Agent
方法一:命令行安装(推荐)
推荐(无需提前安装 clawhub)
npx clawhub@latest --dir ~/.claude/skills install ai-sdk-ui或使用 clawhub CLI(需提前安装)
clawhub --dir ~/.claude/skills install ai-sdk-ui⚠️ 需要 Node.js 18+,没有 Node?请使用下方方法二直接下载 ZIP。 安装 Node.js →
方法二:手动下载安装(无需 Node)
下载 ZIP,解压后将文件夹放到以下路径,重启 Agent 即可:
安装路径
~/.claude/skills/ai-sdk-ui/💡解压后将文件夹放到上方路径,重启 Agent 即可生效
--- name: ai-sdk-ui description: | Build React chat interfaces with Vercel AI SDK v6. Covers useChat/useCompletion/useObject hooks, message parts structure, tool approval workflows, and 18 UI error solutions. Prevents documented issues with React Strict Mode, concurrent requests, stale closures, and tool approval edge cases.
Use when: implementing AI chat UIs, migrating v5→v6, troubleshooting "useChat failed to parse stream", "stale body values", "React maximum update depth", "Cannot read properties of undefined (reading 'state')", or tool approval workflow errors. user-invocable: true ---
Frontend React hooks for AI-powered user interfaces with Vercel AI SDK v6.
Version: AI SDK v6.0.42 (Stable) Framework: React 18+/19, Next.js 14+/15+ Last Updated: 2026-01-20
---
Status: Stable Release Latest: [email protected], @ai-sdk/[email protected], @ai-sdk/[email protected] Migration: Minimal breaking changes from v5 → v6
1. Message Parts Structure (Breaking Change) In v6, message content is now accessed via .parts array instead of .content:
// ❌ v5 (OLD)
{messages.map(m => (
<div key={m.id}>{m.content}</div>
))}
// ✅ v6 (NEW)
{messages.map(m => (
<div key={m.id}>
{m.parts.map((part, i) => {
if (part.type === 'text') return <span key={i}>{part.text}</span>;
if (part.type === 'tool-invocation') return <ToolCall key={i} tool={part} />;
if (part.type === 'file') return <FilePreview key={i} file={part} />;
return null;
})}
</div>
))}
Part Types:
text - Text content with .text propertytool-invocation - Tool calls with .toolName, .args, .resultfile - File attachments with .mimeType, .datareasoning - Model reasoning (when available)source - Source citations3. Agent Integration Type-safe messaging with agents using InferAgentUIMessage:
import { useChat } from '@ai-sdk/react';
import type { InferAgentUIMessage } from 'ai';
import { myAgent } from './agent';
export default function AgentChat() {
const { messages, sendMessage } = useChat<InferAgentUIMessage<typeof myAgent>>({
api: '/api/chat',
});
// messages are now type-checked against agent schema
}
4. Tool Approval Workflows (Human-in-the-Loop) Request user confirmation before executing tools:
import { useChat } from '@ai-sdk/react';
import { useState } from 'react';
export default function ChatWithApproval() {
const { messages, sendMessage, addToolApprovalResponse } = useChat({
api: '/api/chat',
});
const handleApprove = (toolCallId: string) => {
addToolApprovalResponse({
toolCallId,
approved: true, // or false to deny
});
};
return (
<div>
{messages.map(message => (
<div key={message.id}>
{message.toolInvocations?.map(tool => (
tool.state === 'awaiting-approval' && (
<div key={tool.toolCallId}>
<p>Approve tool call: {tool.toolName}?</p>
<button onClick={() => handleApprove(tool.toolCallId)}>
Approve
</button>
<button onClick={() => addToolApprovalResponse({
toolCallId: tool.toolCallId,
approved: false
})}>
Deny
</button>
</div>
)
))}
</div>
))}
</div>
);
}
5. Auto-Submit Capability Automatically continue conversation after handling approvals:
import { useChat, lastAssistantMessageIsCompleteWithApprovalResponses } from '@ai-sdk/react';
export default function AutoSubmitChat() {
const { messages, sendMessage } = useChat({
api: '/api/chat',
sendAutomaticallyWhen: lastAssistantMessageIsCompleteWithApprovalResponses,
// Automatically resubmit after all approval responses provided
});
}
6. Structured Output in Chat Generate structured data alongside tool calling (previously only available in useObject):
import { useChat } from '@ai-sdk/react';
import { z } from 'zod';
const schema = z.object({
summary: z.string(),
sentiment: z.enum(['positive', 'neutral', 'negative']),
});
export default function StructuredChat() {
const { messages, sendMessage } = useChat({
api: '/api/chat',
// Server can now stream structured output with chat messages
});
}
---
CRITICAL: useChat no longer manages input state in v5!
v4 (OLD - DON'T USE):
const { messages, input, handleInputChange, handleSubmit, append } = useChat();
<form onSubmit={handleSubmit}>
<input value={input} onChange={handleInputChange} />
</form>
v5 (NEW - CORRECT):
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:
input, handleInputChange, handleSubmit no longer existappend() → sendMessage(): New method for sending messagesonResponse removed: Use onFinish insteadinitialMessages → controlled mode: Use messages prop for full controlmaxSteps removed: Handle on server-side onlySee references/use-chat-migration.md for complete migration guide.
---
> ⚠️ Deprecation Notice: useAssistant is deprecated as of AI SDK v5. OpenAI Assistants API v2 > will sunset on August 26, 2026. For new projects, use useChat with custom backend logic instead. > See the openai-assistants skill for migration guidance.
Interact with OpenAI-compatible assistant APIs with automatic UI state management.
Import:
import { useAssistant } from '@ai-sdk/react';
Basic Usage:
'use client';
import { useAssistant } from '@ai-sdk/react';
import { useState, FormEvent } from 'react';
export default function AssistantChat() {
const { messages, sendMessage, isLoading, error } = useAssistant({
api: '/api/assistant',
});
const [input, setInput] = useState('');
const handleSubmit = (e: FormEvent) => {
e.preventDefault();
sendMessage({ content: input });
setInput('');
};
return (
<div>
{messages.map(m => (
<div key={m.id}>
<strong>{m.role}:</strong> {m.content}
</div>
))}
<form onSubmit={handleSubmit}>
<input
value={input}
onChange={(e) => setInput(e.target.value)}
disabled={isLoading}
/>
</form>
{error && <div>{error.message}</div>}
</div>
);
}
Use Cases:
See official docs for complete API reference: https://ai-sdk.dev/docs/reference/ai-sdk-ui/use-assistant
---
See references/top-ui-errors.md for complete documentation. Quick reference:
Error: SyntaxError: Unexpected token in JSON at position X
Cause: API route not returning proper stream format.
Solution:
// ✅ CORRECT
return result.toDataStreamResponse();
// ❌ WRONG
return new Response(result.textStream);
Cause: API route not streaming correctly.
Solution:
// App Router - use toDataStreamResponse()
export async function POST(req: Request) {
const result = streamText({ /* ... */ });
return result.toDataStreamResponse(); // ✅
}
...安装 Ai Sdk Ui 后,可以对 AI 说这些话来触发它
Send a Slack message to the #engineering channel about the deployment
Formats and sends the message with relevant context, tagging the right people
Summarize all unread messages in my inbox from today
Reads messages across connected channels and returns a prioritized summary
Draft a reply to this customer complaint and send it for review
Writes an empathetic, professional response and routes it to the approval queue
将技能文件夹放到 ~/.claude/skills/ai-sdk-ui/ 目录(个人级,所有项目可用),或 .claude/skills/ai-sdk-ui/(项目级)。重启 AI 客户端后,用 /ai-sdk-ui 主动调用,或让 AI 根据上下文自动发现并使用。
Ai Sdk Ui 支持 Claude、Cursor、OpenClaw,可与这些 AI 平台无缝集成,扩展其能力。
Ai Sdk Ui 可免费安装使用。请查阅仓库了解许可证信息。
Build React chat interfaces with Vercel AI SDK v6. Covers useChat/useCompletion/useObject hooks, message parts structure, tool approval workflows, and 18 UI error solutions. Prevents documented issues with React Strict Mode, concurrent requests, stale closures, and tool approval edge cases. Use when: implementing AI chat UIs, migrating v5→v6, troubleshooting "useChat failed to parse stream", "stale body values", "React maximum update depth", "Cannot read properties of undefined (reading 'state')", or tool approval workflow errors.
Ai Sdk Ui 属于「Communication」分类,该分类的技能帮助 AI 智能体在此领域执行专业任务。