251 lines
8 KiB
TypeScript
251 lines
8 KiB
TypeScript
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/**
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* AgentChat — 人格体对话组件
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*
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* 与光湖人格体对话,Agent 直接操作 Git 引擎管理知识库。
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* 支持:对话、工具调用展示、对话历史、清空对话。
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*/
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import { useState, useRef, useEffect } from 'react';
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import { marked } from 'marked';
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interface Message {
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role: 'user' | 'assistant' | 'tool' | 'system';
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content: string;
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toolCalls?: Array<{ id: string; name: string; arguments: Record<string, unknown> }>;
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toolResults?: Array<{ id: string; name: string; output: string; error?: string }>;
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timestamp: string;
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}
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interface AgentStatus {
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name: string;
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role: string;
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model: string;
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conversationLength: number;
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}
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interface Props {
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apiBase: string;
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onDocSelect?: (path: string) => void;
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}
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export default function AgentChat({ apiBase, onDocSelect }: Props) {
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const [messages, setMessages] = useState<Message[]>([]);
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const [input, setInput] = useState('');
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const [sending, setSending] = useState(false);
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const [status, setStatus] = useState<AgentStatus | null>(null);
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const bottomRef = useRef<HTMLDivElement>(null);
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const inputRef = useRef<HTMLTextAreaElement>(null);
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useEffect(() => {
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fetchStatus();
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}, []);
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useEffect(() => {
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bottomRef.current?.scrollIntoView({ behavior: 'smooth' });
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}, [messages]);
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async function fetchStatus() {
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try {
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const res = await fetch(`${apiBase}/api/agent/status`);
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const data = await res.json();
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if (data.ok) {
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setStatus({
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name: data.persona.name,
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role: data.persona.role,
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model: data.persona.model,
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conversationLength: data.conversationLength,
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});
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}
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} catch {}
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}
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async function sendMessage() {
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const text = input.trim();
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if (!text || sending) return;
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setInput('');
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setSending(true);
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// 本地先显示用户消息
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const userMsg: Message = {
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role: 'user',
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content: text,
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timestamp: new Date().toISOString(),
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};
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setMessages(prev => [...prev, userMsg]);
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try {
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const res = await fetch(`${apiBase}/api/agent/chat`, {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({ message: text }),
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});
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const data = await res.json();
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if (data.ok) {
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const assistantMsg: Message = {
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role: 'assistant',
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content: data.reply,
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timestamp: new Date().toISOString(),
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};
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setMessages(prev => [...prev, assistantMsg]);
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fetchStatus(); // 刷新状态
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} else {
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setMessages(prev => [
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...prev,
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{ role: 'assistant', content: `错误: ${data.error}`, timestamp: new Date().toISOString() },
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]);
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}
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} catch (err: any) {
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setMessages(prev => [
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...prev,
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{ role: 'assistant', content: `网络错误: ${err.message}`, timestamp: new Date().toISOString() },
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]);
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} finally {
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setSending(false);
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inputRef.current?.focus();
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}
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}
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async function clearConversation() {
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try {
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await fetch(`${apiBase}/api/agent/clear`, { method: 'POST' });
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setMessages([]);
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fetchStatus();
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} catch {}
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}
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function handleKeyDown(e: React.KeyboardEvent) {
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if (e.key === 'Enter' && !e.shiftKey) {
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e.preventDefault();
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sendMessage();
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}
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}
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return (
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<div className="agent-chat">
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{/* 头部状态栏 */}
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<div className="agent-header">
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<div className="agent-info">
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<div className="agent-avatar">🌊</div>
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<div className="agent-meta">
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<h3>{status?.name || '光湖人格体'}</h3>
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<span className="agent-role">{status?.role || '知识库管理者'}</span>
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</div>
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</div>
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<div className="agent-actions">
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<span className="agent-model">{status?.model || 'offline'}</span>
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<button className="btn-clear" onClick={clearConversation} title="清空对话">
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✕
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</button>
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</div>
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</div>
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{/* 对话区域 */}
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<div className="agent-messages">
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{messages.length === 0 && (
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<div className="agent-welcome">
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<div className="welcome-icon">🌊</div>
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<h2>光湖人格体</h2>
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<p>我是知识库的 AI Agent,可以直接操作 Git 引擎管理你的文档。</p>
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<p className="welcome-hint">试试说:</p>
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<div className="welcome-suggestions">
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<button onClick={() => { setInput('帮我列出所有文档'); inputRef.current?.focus(); }}>
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📋 列出所有文档
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</button>
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<button onClick={() => { setInput('搜索关于协议的内容'); inputRef.current?.focus(); }}>
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🔍 搜索关于协议的内容
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</button>
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<button onClick={() => { setInput('创建一篇新的学习笔记'); inputRef.current?.focus(); }}>
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✏️ 创建学习笔记
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</button>
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</div>
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</div>
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)}
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{messages.map((msg, i) => (
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<div key={i} className={`msg msg-${msg.role}`}>
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{msg.role === 'user' ? (
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<div className="msg-bubble msg-user-bubble">
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<p>{msg.content}</p>
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</div>
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) : (
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<div className="msg-bubble msg-assistant-bubble">
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<div className="msg-avatar">🌊</div>
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<div className="msg-content">
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{msg.toolCalls && msg.toolCalls.length > 0 && (
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<div className="tool-calls">
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{msg.toolCalls.map((tc, j) => (
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<div key={j} className="tool-call">
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<span className="tool-icon">⚙️</span>
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<span className="tool-name">{tc.name}</span>
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<code className="tool-args">{JSON.stringify(tc.arguments)}</code>
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</div>
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))}
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</div>
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)}
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{msg.toolResults && msg.toolResults.length > 0 && (
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<div className="tool-results">
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{msg.toolResults.map((tr, j) => (
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<div key={j} className={`tool-result ${tr.error ? 'tool-error' : ''}`}>
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<span className="tool-icon">{tr.error ? '❌' : '✅'}</span>
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<pre>{tr.error || tr.output}</pre>
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</div>
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))}
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</div>
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)}
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<div
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className="msg-markdown"
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dangerouslySetInnerHTML={{
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__html: marked.parse(msg.content, { async: false }) as string,
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}}
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/>
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</div>
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</div>
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)}
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</div>
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))}
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{sending && (
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<div className="msg msg-assistant">
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<div className="msg-bubble msg-assistant-bubble">
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<div className="msg-avatar">🌊</div>
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<div className="msg-content typing">
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<span className="dot" />
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<span className="dot" />
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<span className="dot" />
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</div>
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</div>
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</div>
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)}
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<div ref={bottomRef} />
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</div>
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{/* 输入区 */}
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<div className="agent-input-area">
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<div className="agent-input-wrapper">
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<textarea
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ref={inputRef}
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className="agent-input"
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placeholder="和人格体对话…"
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value={input}
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onChange={e => setInput(e.target.value)}
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onKeyDown={handleKeyDown}
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rows={1}
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disabled={sending}
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/>
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<button
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className="btn-send"
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onClick={sendMessage}
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disabled={sending || !input.trim()}
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>
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{sending ? '⏳' : '↑'}
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</button>
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</div>
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<div className="agent-hint">
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Enter 发送 · Shift+Enter 换行 · Agent 可直接操作知识库
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</div>
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</div>
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</div>
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);
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}
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