xiaohongshu
xiaohongshu
ai-sdk-ui
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 ...
Full skill instructions
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<typeof agent>:
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:
useAssistantis deprecated as of AI SDK v5. OpenAI Assistants API v2 will sunset on August 26, 2026. For new projects, useuseChatwith 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(); // ✅
}
// Pages Router - use pipeDataStreamToResponse()
export default async function handler(req, res) {
const result = streamText({ /* ... */ });
return result.pipeDataStreamToResponse(res); // ✅
}
Cause: Deployment platform buffering responses.
Solution: Vercel auto-detects streaming. Other platforms may need configuration.
Cause: body option captured at first render only.
Solution:
// ❌ WRONG - body captured once
const { userId } = useUser();
const { messages } = useChat({
body: { userId }, // Stale!
});
// ✅ CORRECT - use controlled mode
const { userId } = useUser();
const { messages, sendMessage } = useChat();
sendMessage({
content: input,
data: { userId }, // Fresh on each send
});
Cause: Infinite loop in useEffect.
Solution:
// ❌ WRONG
useEffect(() => {
saveMessages(messages);
}, [messages, saveMessages]); // saveMessages triggers re-render!
// ✅ CORRECT
useEffect(() => {
saveMessages(messages);
}, [messages]); // Only depend on messages
See references/top-ui-errors.md for 13 more common errors (18 total documented).
Always use streaming for better UX:
// ✅ GOOD - Streaming (shows tokens as they arrive)
const { messages } = useChat({ api: '/api/chat' });
// ❌ BAD - Non-streaming (user waits for full response)
const response = await fetch('/api/chat', { method: 'POST' });
Show loading states:
{isLoading && <div>AI is typing...</div>}
Provide stop button:
{isLoading && <button onClick={stop}>Stop</button>}
Auto-scroll to latest message:
useEffect(() => {
messagesEndRef.current?.scrollIntoView({ behavior: 'smooth' });
}, [messages]);
Disable input while loading:
<input disabled={isLoading} />
See references/streaming-patterns.md for comprehensive best practices.
React Strict Mode intentionally double-invokes effects to catch bugs. When using useChat or useCompletion in effects (auto-resume, initial messages), guard against double execution to prevent duplicate API calls and token waste.
Problem:
'use client';
import { useChat } from '@ai-sdk/react';
import { useEffect } from 'react';
export default function Chat() {
const { messages, sendMessage, resumeStream } = useChat({
api: '/api/chat',
resume: true,
});
useEffect(() => {
// ❌ Triggers twice in strict mode → two concurrent streams
sendMessage({ content: 'Hello' });
// or
resumeStream();
}, []);
}
Solution:
// ✅ Use ref to track execution
import { useRef } from 'react';
const hasSentRef = useRef(false);
useEffect(() => {
if (hasSentRef.current) return;
hasSentRef.current = true;
sendMessage({ content: 'Hello' });
}, []);
// For resumeStream specifically:
const hasResumedRef = useRef(false);
useEffect(() => {
if (!autoResume || hasResumedRef.current || status === 'streaming') return;
hasResumedRef.current = true;
resumeStream();
}, [autoResume, resumeStream, status]);
Why It Happens: React Strict Mode double-invokes effects to surface side effects. The SDK doesn't guard against concurrent requests, so both invocations create separate streams that fight for state updates.
Impact: Duplicate messages, doubled token usage, race conditions causing TypeError: "Cannot read properties of undefined (reading 'state')".
Source: GitHub Issue #7891, Issue #6166
Stable (v6 - Recommended):
{
"dependencies": {
"ai": "^6.0.8",
"@ai-sdk/react": "^3.0.6",
"@ai-sdk/openai": "^3.0.2",
"react": "^18.3.0",
"zod": "^3.24.2"
}
}
Legacy (v5):
{
"dependencies": {
"ai": "^5.0.99",
"@ai-sdk/react": "^1.0.0",
"@ai-sdk/openai": "^2.0.68"
}
}
Version Notes:
Core UI Hooks:
Advanced Topics (Link Only):
Next.js Integration:
Migration & Troubleshooting:
Vercel Deployment:
This skill includes the following templates in templates/:
See references/ for:
Production Tested: WordPress Auditor (https://wordpress-auditor.webfonts.workers.dev) Last verified: 2026-01-20 | Skill version: 3.1.0 | Changes: Updated to AI SDK v6.0.42 (+19 patches). Added React Strict Mode section. Expanded Issue #7 (stale body) with 3 workarounds. Added 6 new issues: TypeError with resume+onFinish (#13), concurrent sendMessage state corruption (#14), tool approval callback edge case (#15), ZodError on early stop (#16), convertToModelMessages tool approval bug (#17), undefined id infinite loop (#18). Error count: 12→18.
xiaohongshu
technical spec
product ux expert
database patterns
Conduct multi-agent task orchestration and workflow coordination.
Initialize project with Conductor artifacts (product definition,
Expert in web animations, transitions, and motion design using Framer Motion and CSS
Creates Mermaid and ASCII diagrams for flowcharts, architecture, ERDs, state machines, mindmaps, and more. Use when user mentions diagram, flowchart, mermaid, ASCII diagram, text diagram, terminal diagram, visualize, C4, mindmap, architecture diagram, sequence diagram, ERD, or needs visual docume...
PostgreSQL bindings for H3 hexagonal grid system. Use when working with H3 cells in Postgres, including spatial indexing, geometry/geography integration, and raster analysis.
Context-Driven Development skill for projects using Conductor. Use this skill when you detect a `conductor/` directory in the project, when working on tasks defined in a `plan.md` file, or when the user asks about tracks, specs, or plans. Automatically applies TDD workflow, tracks task completion...
Display project status, active tracks, and next actions
Official Stakpak application containerization standard operating procedure, a step-by-step guidline to properly dockerize applications. This is a rule book curated by the Stakpak Team.
Generate, edit, and beat-sync AI video with leading models in one workspace.
The world's fastest calendar for remote work
Transform Your Design with AI Designer by ImgCreator.ai
Revolutionizing Video Production with AI-Powered Creativity
Extend an image past the frame and let AI fill the new aspect ratio.
Discover your celebrity doppelgänger with StarByFace!
ChainClarity explains 700+ crypto whitepapers in plain English, with layered summaries, comparisons, research tools, alerts, and a $4.99 Pro plan.
Opus.ai: Revolutionize Your Web Experience