gh-nathanonn-claude-skills-ai-elements-claude-skills-ai-elements/docs/components/reasoning.md

Reasoning

URL: /components/reasoning

---

title: Reasoning description: A collapsible component that displays AI reasoning content, automatically opening during streaming and closing when finished. path: elements/components/reasoning

---

The Reasoning component displays AI reasoning content, automatically opening during streaming and closing when finished.

Installation

Usage

import { Reasoning, ReasoningContent, ReasoningTrigger } from "@/components/ai-elements/reasoning";

<Reasoning className="w-full" isStreaming={false}>
    <ReasoningTrigger />
    <ReasoningContent>I need to computer the square of 2.</ReasoningContent>
</Reasoning>

Usage with AI SDK

Build a chatbot with reasoning using Deepseek R1.

Add the following component to your frontend:

'use client';

import {
  Reasoning,
  ReasoningContent,
  ReasoningTrigger,
} from '@/components/ai-elements/reasoning';
import {
  Conversation,
  ConversationContent,
  ConversationScrollButton,
} from '@/components/ai-elements/conversation';
import {
  PromptInput,
  PromptInputTextarea,
  PromptInputSubmit,
} from '@/components/ai-elements/prompt-input';
import { Loader } from '@/components/ai-elements/loader';
import { Message, MessageContent } from '@/components/ai-elements/message';
import { useState } from 'react';
import { useChat } from '@ai-sdk/react';
import { Response } from @/components/ai-elements/response';

const ReasoningDemo = () => {
  const [input, setInput] = useState('');

  const { messages, sendMessage, status } = useChat();

  const handleSubmit = (e: React.FormEvent) => {
    e.preventDefault();
    sendMessage({ text: input });
    setInput('');
  };

  return (
    <div className="max-w-4xl mx-auto p-6 relative size-full rounded-lg border h-[600px]">
      <div className="flex flex-col h-full">
        <Conversation>
          <ConversationContent>
            {messages.map((message) => (
              <Message from={message.role} key={message.id}>
                <MessageContent>
                  {message.parts.map((part, i) => {
                    switch (part.type) {
                      case 'text':
                        return (
                          <Response key={`${message.id}-${i}`}>
                            {part.text}
                          </Response>
                        );
                      case 'reasoning':
                        return (
                          <Reasoning
                            key={`${message.id}-${i}`}
                            className="w-full"
                            isStreaming={status === 'streaming' && i === message.parts.length - 1 && message.id === messages.at(-1)?.id}
                          >
                            <ReasoningTrigger />
                            <ReasoningContent>{part.text}</ReasoningContent>
                          </Reasoning>
                        );
                    }
                  })}
                </MessageContent>
              </Message>
            ))}
            {status === 'submitted' && <Loader />}
          </ConversationContent>
          <ConversationScrollButton />
        </Conversation>

        <PromptInput
          onSubmit={handleSubmit}
          className="mt-4 w-full max-w-2xl mx-auto relative"
        >
          <PromptInputTextarea
            value={input}
            placeholder="Say something..."
            onChange={(e) => setInput(e.currentTarget.value)}
            className="pr-12"
          />
          <PromptInputSubmit
            status={status === 'streaming' ? 'streaming' : 'ready'}
            disabled={!input.trim()}
            className="absolute bottom-1 right-1"
          />
        </PromptInput>
      </div>
    </div>
  );
};

export default ReasoningDemo;

Add the following route to your backend:

import { streamText, UIMessage, convertToModelMessages } from "ai";

// Allow streaming responses up to 30 seconds
export const maxDuration = 30;

export async function POST(req: Request) {
    const { model, messages }: { messages: UIMessage[]; model: string } = await req.json();

    const result = streamText({
        model: "deepseek/deepseek-r1",
        messages: convertToModelMessages(messages),
    });

    return result.toUIMessageStreamResponse({
        sendReasoning: true,
    });
}

Features

• Automatically opens when streaming content and closes when finished
• Manual toggle control for user interaction
• Smooth animations and transitions powered by Radix UI
• Visual streaming indicator with pulsing animation
• Composable architecture with separate trigger and content components
• Built with accessibility in mind including keyboard navigation
• Responsive design that works across different screen sizes
• Seamlessly integrates with both light and dark themes
• Built on top of shadcn/ui Collapsible primitives
• TypeScript support with proper type definitions

Props

<Reasoning />

<TypeTable type={{ isStreaming: { description: 'Whether the reasoning is currently streaming (auto-opens and closes the panel).', type: 'boolean', }, '...props': { description: 'Any other props are spread to the underlying Collapsible component.', type: 'React.ComponentProps', }, }} />

<ReasoningTrigger />

<TypeTable type={{ title: { description: 'Optional title to display in the trigger.', type: 'string', default: '"Reasoning"', }, '...props': { description: 'Any other props are spread to the underlying CollapsibleTrigger component.', type: 'React.ComponentProps', }, }} />

<ReasoningContent />

<TypeTable type={{ '...props': { description: 'Any other props are spread to the underlying CollapsibleContent component.', type: 'React.ComponentProps', }, }} />