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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 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.

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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.

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OpenClaw
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Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

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ZIP package
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Tencent SkillHub
What's included
.claude-plugin/plugin.json, README.md, SKILL.md, references/links-to-official-docs.md, references/nextjs-integration.md, references/streaming-patterns.md

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Tencent SkillHub
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Version
0.1.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 21 sections Open source page

AI SDK UI - Frontend React Hooks

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

AI SDK v6 Stable (January 2026)

Status: Stable Release Latest: ai@6.0.42, @ai-sdk/react@3.0.44, @ai-sdk/openai@3.0.7 Migration: Minimal breaking changes from v5 → v6

New UI Features in 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 property tool-invocation - Tool calls with .toolName, .args, .result file - File attachments with .mimeType, .data reasoning - Model reasoning (when available) source - Source citations 3. 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 }); }

useChat Hook - v4 → v5 Breaking Changes

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 management removed: input, handleInputChange, handleSubmit no longer exist append() → sendMessage(): New method for sending messages onResponse removed: Use onFinish instead initialMessages → controlled mode: Use messages prop for full control maxSteps removed: Handle on server-side only See references/use-chat-migration.md for complete migration guide.

useAssistant Hook (Deprecated)

⚠️ 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: Building OpenAI Assistant-powered UIs Managing assistant threads and runs Streaming assistant responses with UI state management File search and code interpreter integrations See official docs for complete API reference: https://ai-sdk.dev/docs/reference/ai-sdk-ui/use-assistant

Top UI Errors & Solutions

See references/top-ui-errors.md for complete documentation. Quick reference:

1. useChat Failed to Parse Stream

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);

2. useChat No Response

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); // ✅ }

3. Streaming Not Working When Deployed

Cause: Deployment platform buffering responses. Solution: Vercel auto-detects streaming. Other platforms may need configuration.

4. Stale Body Values with useChat

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 });

5. React Maximum Update Depth

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).

Performance

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' });

UX Patterns

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 Considerations

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

Use ai-sdk-ui When:

Building React chat interfaces Implementing AI completions in UI Streaming AI responses to frontend Building Next.js AI applications Handling chat message state Displaying tool calls in UI Managing file attachments with AI Migrating from v4 to v5 (UI hooks) Encountering useChat/useCompletion errors

Don't Use When:

Need backend AI functionality → Use ai-sdk-core instead Building non-React frontends (Svelte, Vue) → Check official docs Need Generative UI / RSC → See https://ai-sdk.dev/docs/ai-sdk-rsc Building native apps → Different SDK required

Related Skills:

ai-sdk-core - Backend text generation, structured output, tools, agents Compose both for full-stack AI applications

Package Versions

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: AI SDK v6.0.6 (stable, Jan 2026) - recommended for new projects AI SDK v5.x (legacy) - still supported but not receiving new features React 18.3+ / React 19 supported Next.js 14+/15+ recommended Zod 3.24.2+ for schema validation

Links to Official Documentation

Core UI Hooks: AI SDK UI Overview: https://ai-sdk.dev/docs/ai-sdk-ui/overview useChat: https://ai-sdk.dev/docs/ai-sdk-ui/chatbot useCompletion: https://ai-sdk.dev/docs/ai-sdk-ui/completion useObject: https://ai-sdk.dev/docs/ai-sdk-ui/object-generation Advanced Topics (Link Only): Generative UI (RSC): https://ai-sdk.dev/docs/ai-sdk-rsc/overview Stream Protocols: https://ai-sdk.dev/docs/ai-sdk-ui/stream-protocols Message Metadata: https://ai-sdk.dev/docs/ai-sdk-ui/message-metadata Next.js Integration: Next.js App Router: https://ai-sdk.dev/docs/getting-started/nextjs-app-router Next.js Pages Router: https://ai-sdk.dev/docs/getting-started/nextjs-pages-router Migration & Troubleshooting: v4→v5 Migration: https://ai-sdk.dev/docs/migration-guides/migration-guide-5-0 Troubleshooting: https://ai-sdk.dev/docs/troubleshooting Common Issues: https://ai-sdk.dev/docs/troubleshooting/common-issues Vercel Deployment: Vercel Functions: https://vercel.com/docs/functions Streaming on Vercel: https://vercel.com/docs/functions/streaming

Templates

This skill includes the following templates in templates/: use-chat-basic.tsx - Basic chat with manual input (v5 pattern) use-chat-tools.tsx - Chat with tool calling UI rendering use-chat-attachments.tsx - File attachments support use-completion-basic.tsx - Basic text completion use-object-streaming.tsx - Streaming structured data nextjs-chat-app-router.tsx - Next.js App Router complete example nextjs-chat-pages-router.tsx - Next.js Pages Router complete example nextjs-api-route.ts - API route for both App and Pages Router message-persistence.tsx - Save/load chat history custom-message-renderer.tsx - Custom message components with markdown package.json - Dependencies template

Reference Documents

See references/ for: use-chat-migration.md - Complete v4→v5 migration guide streaming-patterns.md - UI streaming best practices top-ui-errors.md - 18 common UI errors with solutions nextjs-integration.md - Next.js setup patterns links-to-official-docs.md - Organized links to official docs 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.

Category context

Messaging, meetings, inboxes, CRM, and teammate communication surfaces.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
5 Docs1 Config
  • SKILL.md Primary doc
  • README.md Docs
  • references/links-to-official-docs.md Docs
  • references/nextjs-integration.md Docs
  • references/streaming-patterns.md Docs
  • .claude-plugin/plugin.json Config