mcpField
A
ai-elements-chatbot

ai-elements-chatbot

github.com/secondskyDesign & UI240137 installsUpdated 5w ago
Repository

About ai-elements-chatbot

ai-elements-chatbot provides shadcn/ui-based chat components for AI applications, aimed at developers using Next.js App Router and Vercel AI SDK. Its components support streaming and display tool calls, reasoning, code blocks, and sources.

Key features

  1. 01Includes 30+ chat interface components
  2. 02Supports streaming responses
  3. 03Displays tool calls and reasoning
  4. 04Renders Markdown and code blocks
  5. 05Provides message, input, and source components

Use cases

  1. 01Build a chat interface for an AI application
  2. 02Display tool calls in a conversation
  3. 03Show reasoning content and code blocks

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/secondsky/claude-skills --skill ai-elements-chatbot

After installing, type/ai-elements-chatbotin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

assets/
api-route-template.ts
chat-interface-starter.tsx
example-template.txt
references/
component-catalog.md
example-reference.md
setup-guide.md
scripts/
example-script.sh
setup-ai-elements.sh

Details

From the project README

AI Elements Chatbot Components

Status: Production Ready ✅ | Last Verified: 2025-11-18


What Is AI Elements?

Production-ready chat UI components for AI applications:

  • Built on shadcn/ui
  • 30+ components (Message, Conversation, Response, etc.)
  • Works with Vercel AI SDK v5
  • Streaming support
  • Tool/function call displays
  • Reasoning visualization

Quick Start (15 Minutes)

Prerequisites
  • Next.js 15+ (App Router)
  • shadcn/ui initialized
  • Tailwind v4
  • AI SDK v5+
1. Initialize
pnpm dlx ai-elements@latest init
2. Add Components
pnpm dlx ai-elements@latest add message conversation response prompt-input
3. Create Chat Interface
'use client';

import { useChat } from 'ai/react';
import { Conversation } from '@/components/ui/ai/conversation';
import { Message } from '@/components/ui/ai/message';
import { Response } from '@/components/ui/ai/response';
import { PromptInput } from '@/components/ui/ai/prompt-input';

export default function ChatPage() {
  const { messages, input, handleInputChange, handleSubmit } = useChat({
    api: '/api/chat'
  });

  return (
    <div className="flex h-screen flex-col">
      <Conversation>
        {messages.map((msg) => (
          <Message key={msg.id} role={msg.role}>
            <Response markdown={msg.content} />
          </Message>
        ))}
      </Conversation>

      <PromptInput
        value={input}
        onChange={handleInputChange}
        onSubmit={handleSubmit}
      />
    </div>
  );
}

Load references/setup-guide.md for complete setup.


Core Components

Message & Conversation
import { Conversation } from '@/components/ui/ai/conversation';
import { Message } from '@/components/ui/ai/message';

<Conversation>
  {messages.map((msg) => (
    <Message key={msg.id} role={msg.role}>
      {msg.content}
    </Message>
  ))}
</Conversation>
Response (Markdown)
import { Response } from '@/components/ui/ai/response';

<Response markdown={content} />
PromptInput
import { PromptInput } from '@/components/ui/ai/prompt-input';

<PromptInput
  value={input}
  onChange={handleInputChange}
  onSubmit={handleSubmit}
/>
CodeBlock
import { CodeBlock } from '@/components/ui/ai/code-block';

<CodeBlock code={code} language="typescript" />
Reasoning (Thinking)
import { Reasoning } from '@/components/ui/ai/reasoning';

<Reasoning content={thinking} />
Tool (Function Calls)
import { Tool } from '@/components/ui/ai/tool';

<Tool name="search" args={{ query: "..." }} result={result} />

Critical Rules

Always Do ✅
  1. Install shadcn/ui first (AI Elements requires it)
  2. Use Next.js App Router (Pages Router not supported)
  3. Use AI SDK v5 (breaking changes from v4)
  4. Install via CLI (pnpm dlx ai-elements@latest)
  5. Update components.json with registry
  6. Use client components ('use client' directive)
  7. Stream responses for better UX
  8. Handle loading states
  9. Add error boundaries
  10. Test on mobile
Never Do ❌
  1. Never install as npm package (components are copied)
  2. Never use Pages Router (only App Router)
  3. Never use AI SDK v4 (breaking changes)
  4. Never skip prerequisites (shadcn/ui, Tailwind)
  5. Never modify core types (extends shadcn types)
  6. Never use without streaming (defeats purpose)
  7. Never skip accessibility (ARIA labels)
  8. Never hardcode styles (use Tailwind)
  9. Never skip error handling (API failures)
  10. Never ignore mobile (responsive required)

Available Components (30+)

Core:

  • Message
  • Conversation
  • Response
  • PromptInput

Content:

  • CodeBlock
  • Markdown
  • Tool
  • Reasoning
  • Sources

Actions:

  • Actions
  • CopyButton
  • ShareButton
  • RegenerateButton

Advanced:

  • BranchNavigation
  • ThinkingDisplay
  • WebPreview

Common Use Cases

Use Case 1: Basic Chat
const { messages, input, handleInputChange, handleSubmit } = useChat();

return (
  <>
    <Conversation>
      {messages.map(m => (
        <Message key={m.id} role={m.role}>
          <Response markdown={m.content} />
        </Message>
      ))}
    </Conversation>
    <PromptInput value={input} onChange={handleInputChange} onSubmit={handleSubmit} />
  </>
);
Use Case 2: With Tool Calls
{messages.map(m => (
  <Message key={m.id} role={m.role}>
    {m.toolInvocations?.map(tool => (
      <Tool key={tool.toolCallId} name={tool.toolName} args={tool.args} result={tool.result} />
    ))}
    <Response markdown={m.content} />
  </Message>
))}
Use Case 3: With Reasoning
<Message role="assistant">
  {reasoning && <Reasoning content={reasoning} />}
  <Response markdown={content} />
</Message>
Use Case 4: With Code Blocks
<Response markdown={content}>
  {(node) => node.type === 'code' ? (
    <CodeBlock code={node.value} language={node.lang} />
  ) : null}
</Response>
Use Case 5: With Sources
<Message role="assistant">
  <Response markdown={content} />
  <Sources sources={sources} />
</Message>

API Routes

Basic Streaming
// 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'),
    messages
  });

  return result.toDataStreamResponse();
}
With Tools
const result = streamText({
  model: openai('gpt-4'),
  messages,
  tools: {
    search: {
      description: 'Search the web',
      parameters: z.object({ query: z.string() }),
      execute: async ({ query }) => {
        return await search(query);
      }
    }
  }
});

When to Use AI Elements

Use when:

  • Building ChatGPT-style interface
  • Need production-ready components
  • Using Vercel AI SDK
  • Want streaming responses
  • Need tool/function displays
  • Want reasoning visualization

Don't use when:

  • Not using Next.js App Router
  • Don't have shadcn/ui
  • Need Pages Router
  • Building custom design system

Resources

References (references/):

  • component-catalog.md - All 8 AI Elements components with examples
  • example-reference.md - Complete integration examples and patterns
  • setup-guide.md - Step-by-step setup with Next.js 15 and shadcn/ui

Templates (templates/):

  • Component examples available in reference files

Official Documentation


Questions? Issues?

  1. Check references/setup-guide.md for complete setup
  2. Verify prerequisites (Next.js 15+, shadcn/ui, AI SDK v5)
  3. See official examples

Comments

Markdown supported