用AI加速您的SaaS创业之路

'use client';

import { useState } from 'react';
import { motion } from 'framer-motion';
import { Button } from '@/components/ui/button';

// Cursor AI: This component handles user authentication
// and integrates with multiple AI models
export function AIChatComponent() {
  const [message, setMessage] = useState('');
  const [chatHistory, setChatHistory] = useState([]);
  
  // Cursor AI suggestion: Add streaming response handling
  const handleSubmit = async (e) => {
    e.preventDefault();
    
    // Add user message to chat
    setChatHistory([...chatHistory, 
      { role: 'user', content: message }
    ]);
    
    // Call AI model API with streaming
    const response = await fetch('/api/ai/chat', {
      method: 'POST',
      headers: { 'Content-Type': 'application/json' },
      body: JSON.stringify({ 
        message,
        model: 'gpt-4',
        stream: true
      })
    });
    
    // Handle streaming response
    // ...streaming implementation...
    
    setMessage('');
  };
  
  return (
    <div className="flex flex-col h-full">
      <div className="flex-1 overflow-auto p-4">
        {chatHistory.map((msg, index) => (
          <div key={index} className={msg.role === 'user' 
            ? 'chat-message-user' 
            : 'chat-message-ai'}>
            {msg.content}
          </div>
        ))}
      </div>
      
      <form onSubmit={handleSubmit} className="border-t p-4">
        <div className="flex gap-2">
          <input
            value={message}
            onChange={(e) => setMessage(e.target.value)}
            className="flex-1 rounded-lg border px-3 py-2"
            placeholder="Ask me anything..."
          />
          <Button type="submit">Send</Button>
        </div>
      </form>
    </div>
  );
}