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<!DOCTYPE html>
<html lang="zh-CN">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>AI 辩论场</title>
<style>
* { margin: 0; padding: 0; box-sizing: border-box; }
body { font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif; background: #111; color: #ddd; min-height: 100vh; display: flex; flex-direction: column; align-items: center; padding: 20px; }
h1 { margin-bottom: 20px; color: #ccc; }
.top-bar { display: flex; align-items: center; gap: 12px; margin-bottom: 20px; }
.lang-btn { background: #1a1a1a; color: #888; border: 1px solid #444; padding: 4px 12px; border-radius: 4px; cursor: pointer; font-size: 13px; }
.lang-btn.active { color: #ccc; border-color: #888; }
.config { background: #1a1a1a; padding: 20px; border-radius: 12px; width: 100%; max-width: 900px; margin-bottom: 20px; }
.config label { display: block; margin-bottom: 4px; font-size: 13px; color: #aaa; }
.config input, .config select { width: 100%; padding: 7px 10px; border: 1px solid #444; border-radius: 6px; background: #222; color: #ddd; margin-bottom: 8px; font-size: 13px; }
.role-cards { display: flex; gap: 12px; margin-bottom: 12px; }
.role-card { flex: 1; background: #222; border-radius: 8px; padding: 12px; }
.role-card h3 { font-size: 14px; margin-bottom: 8px; }
.role-card.card-a h3 { color: #aaa; }
.role-card.card-b h3 { color: #999; }
.role-card.card-j h3 { color: #bbb; }
.fetch-btn { background: #222; color: #aaa; border: 1px solid #555; padding: 5px 10px; border-radius: 4px; cursor: pointer; font-size: 12px; width: 100%; margin-bottom: 8px; }
.fetch-btn:hover { background: #333; }
.fetch-btn:disabled { opacity: 0.5; cursor: not-allowed; }
.bottom-row { display: flex; gap: 12px; }
.bottom-row > div { flex: 1; }
button#startBtn { padding: 10px 24px; border: none; border-radius: 6px; cursor: pointer; font-size: 15px; font-weight: 600; background: #444; color: #eee; width: 100%; margin-top: 4px; }
button#startBtn:hover { background: #555; }
button#startBtn:disabled { background: #333; cursor: not-allowed; }
.arena { width: 100%; max-width: 900px; }
.msg { padding: 14px 18px; border-radius: 12px; margin-bottom: 12px; line-height: 1.6; white-space: pre-wrap; animation: fadeIn 0.3s; }
.msg-a { background: #1e1e1e; border-left: 4px solid #888; }
.msg-b { background: #252525; border-left: 4px solid #666; }
.msg-judge { background: #2a2a2a; border-left: 4px solid #aaa; }
.msg .role { font-weight: 700; margin-bottom: 6px; font-size: 13px; }
.msg-a .role { color: #999; }
.msg-b .role { color: #777; }
.msg-judge .role { color: #bbb; }
.status { text-align: center; color: #888; margin: 16px 0; font-size: 14px; }
@keyframes fadeIn { from { opacity: 0; transform: translateY(8px); } to { opacity: 1; transform: translateY(0); } }
</style>
</head>
<body>
<div class="top-bar">
<h1 data-i18n="title">AI 辩论场</h1>
<button class="lang-btn active" onclick="setLang('zh')">中文</button>
<button class="lang-btn" onclick="setLang('en')">EN</button>
</div>
<div class="config">
<div class="role-cards">
<div class="role-card card-a">
<h3>AI-A</h3>
<label data-i18n="fmt">API 格式</label>
<select id="fmtA" onchange="onFmtChange('A')">
<option value="openai" data-i18n="openai_compat">OpenAI 兼容</option>
<option value="claude">Claude</option>
</select>
<label data-i18n="url">API 地址</label>
<input id="urlA" value="https://api.openai.com/v1/chat/completions">
<label>API Key</label>
<input id="keyA" type="password" placeholder="sk-...">
<button class="fetch-btn" onclick="fetchModels('A')" data-i18n="fetch">获取模型</button>
<label data-i18n="model">模型</label>
<input id="mdlA" list="mdlListA" data-i18n-ph="model_ph" placeholder="可手动填写或从列表选择">
<datalist id="mdlListA"><option value="gpt-4o-mini"></option></datalist>
</div>
<div class="role-card card-b">
<h3>AI-B</h3>
<label data-i18n="fmt">API 格式</label>
<select id="fmtB" onchange="onFmtChange('B')">
<option value="openai" data-i18n="openai_compat">OpenAI 兼容</option>
<option value="claude">Claude</option>
</select>
<label data-i18n="url">API 地址</label>
<input id="urlB" value="https://api.openai.com/v1/chat/completions">
<label>API Key</label>
<input id="keyB" type="password" placeholder="sk-...">
<button class="fetch-btn" onclick="fetchModels('B')" data-i18n="fetch">获取模型</button>
<label data-i18n="model">模型</label>
<input id="mdlB" list="mdlListB" data-i18n-ph="model_ph" placeholder="可手动填写或从列表选择">
<datalist id="mdlListB"><option value="gpt-4o-mini"></option></datalist>
</div>
<div class="role-card card-j">
<h3 data-i18n="judge">裁判</h3>
<label data-i18n="fmt">API 格式</label>
<select id="fmtJ" onchange="onFmtChange('J')">
<option value="openai" data-i18n="openai_compat">OpenAI 兼容</option>
<option value="claude">Claude</option>
</select>
<label data-i18n="url">API 地址</label>
<input id="urlJ" value="https://api.openai.com/v1/chat/completions">
<label>API Key</label>
<input id="keyJ" type="password" placeholder="sk-...">
<button class="fetch-btn" onclick="fetchModels('J')" data-i18n="fetch">获取模型</button>
<label data-i18n="model">模型</label>
<input id="mdlJ" list="mdlListJ" data-i18n-ph="model_ph" placeholder="可手动填写或从列表选择">
<datalist id="mdlListJ"><option value="gpt-4o-mini"></option></datalist>
</div>
</div>
<div class="bottom-row">
<div><label data-i18n="topic">议题</label><input id="topic" data-i18n-ph="topic_ph" placeholder="例如：人工智能是否会取代人类工作？"></div>
<div style="max-width:120px"><label data-i18n="rounds">最大回合数</label><input id="rounds" type="number" value="3" min="1" max="10"></div>
<div><label data-i18n="tavily_key">Tavily API Key（可选）</label><input id="tavilyKey" type="password" data-i18n-ph="tavily_key_ph" placeholder="tvly-..."></div>
</div>
<button id="startBtn" onclick="start()" data-i18n="start">开始</button>
</div>
<div class="arena" id="arena"></div>
<script>
const $ = id => document.getElementById(id);
const arena = $('arena');
let lang = 'zh';
const I = {
zh: {
title: 'AI 辩论场', judge: '裁判', fmt: 'API 格式', openai_compat: 'OpenAI 兼容',
url: 'API 地址', fetch: '获取模型', fetching: '获取中...', model: '模型', model_ph: '可手动填写或从列表选择',
topic: '议题', topic_ph: '例如：人工智能是否会取代人类工作？', rounds: '最大回合数',
tavily_key: 'Tavily API Key（可选）', tavily_key_ph: '留空则不联网搜索',
start: '开始', fill_topic: '请填写议题', fill_keys: '请填写所有 API Key', fill_models: '请填写所有模型名称',
fill_key: '请先填写 API Key', no_models: '未获取到模型列表（可手动填写模型名）', fetch_fail: '获取失败: ',
thinking_a: 'AI-A 正在思考观点...', thinking_b: 'AI-B 正在思考观点...',
planning_search_a: 'AI-A 正在决定是否需要联网搜索...',
planning_search_b: 'AI-B 正在决定是否需要联网搜索...',
searching_query_a: (q) => `AI-A 正在通过 Tavily 搜索：${q}`,
searching_query_b: (q) => `AI-B 正在通过 Tavily 搜索：${q}`,
search_plan_fail_a: 'AI-A 联网搜索计划失败，将直接基于议题生成观点：',
search_plan_fail_b: 'AI-B 联网搜索计划失败，将直接基于议题生成观点：',
judging: '裁判正在判定是否存在矛盾...', no_conflict: '双方观点一致，无需辩论。',
conflict_found: (r) => `检测到矛盾，开始辩论！共 ${r} 回合`,
round: (i, r) => `第 ${i}/${r} 回合`,
view_a: '观点', view_b: '观点', judge_check: '裁判判定',
round_a: (i) => `AI-A 第${i}回合`, round_b: (i) => `AI-B 第${i}回合`,
summarizing: '裁判正在做最终总结...', summary: '裁判总结', done: '辩论结束', error: '出错: ',
sys_view: '请对以下议题给出你的观点，简洁有力，200字以内。若提供了参考资料，请优先使用其中信息并保持可核验。',
sys_search_plan: '你可以按需使用联网搜索辅助观点形成。请先判断是否需要搜索，再给出最多3条搜索词。只输出 JSON：{"need_search": true/false, "queries": ["..."]}。不要输出任何额外文字。',
sys_time: (iso, local, tz) => `时间上下文（务必遵守）：当前系统时间为 ${local}（时区：${tz}，ISO：${iso}）。你在理解“今天/今年/最近”等相对时间时，必须以这个时间为准，不要默认往年。`,
sys_judge: '你是一个辩论裁判。判断以下两个观点是否存在矛盾或分歧。如果存在，回复格式为：\n矛盾：是\n矛盾焦点：（一句话描述矛盾点）\n如果不存在实质矛盾，回复：\n矛盾：否',
sys_debate: (v) => `你正在参与一场辩论。你的初始观点：${v}\n对方会反驳你，你需要坚持并强化自己的立场，同时指出对方的漏洞。每次回复200字以内。`,
rebut: (msg) => `对方说：${msg}\n请反驳：`,
sys_summary: '你是辩论裁判。请根据以下辩论全文，总结双方表现，指出各自的亮点和不足，并给出你的最终判定。300字以内。',
export: '导出文本',
topic_prefix: (t) => `议题：${t}`,
views_pair: (a, b) => `观点A：${a}\n\n观点B：${b}`,
conflict_yes: '矛盾：是'
},
en: {
title: 'AI Debate Arena', judge: 'Judge', fmt: 'API Format', openai_compat: 'OpenAI Compatible',
url: 'API URL', fetch: 'Fetch Models', fetching: 'Fetching...', model: 'Model', model_ph: 'Type manually or pick from list',
topic: 'Topic', topic_ph: 'e.g. Will AI replace human jobs?', rounds: 'Max Rounds',
tavily_key: 'Tavily API Key (Optional)', tavily_key_ph: 'Leave empty to skip web search',
start: 'Start', fill_topic: 'Please enter a topic', fill_keys: 'Please fill in all API Keys', fill_models: 'Please fill in all model names',
fill_key: 'Please enter API Key first', no_models: 'No models found (you can still type model name manually)', fetch_fail: 'Fetch failed: ',
thinking_a: 'AI-A is thinking...', thinking_b: 'AI-B is thinking...',
planning_search_a: 'AI-A is deciding whether web search is needed...',
planning_search_b: 'AI-B is deciding whether web search is needed...',
searching_query_a: (q) => `AI-A is searching via Tavily: ${q}`,
searching_query_b: (q) => `AI-B is searching via Tavily: ${q}`,
search_plan_fail_a: 'AI-A search planning failed. Proceeding without web references: ',
search_plan_fail_b: 'AI-B search planning failed. Proceeding without web references: ',
judging: 'Judge is checking for conflicts...', no_conflict: 'No conflict found. Debate skipped.',
conflict_found: (r) => `Conflict detected! Starting debate: ${r} rounds`,
round: (i, r) => `Round ${i}/${r}`,
view_a: 'View', view_b: 'View', judge_check: 'Judge Ruling',
round_a: (i) => `AI-A Round ${i}`, round_b: (i) => `AI-B Round ${i}`,
summarizing: 'Judge is summarizing...', summary: 'Judge Summary', done: 'Debate ended', error: 'Error: ',
sys_view: 'Give your opinion on the following topic. Be concise and clear, within 150 words. If references are provided, prefer using verifiable points from them.',
sys_search_plan: 'You may use web search if needed to improve your initial view. First decide whether search is needed, then provide up to 3 search queries. Output JSON only: {"need_search": true/false, "queries": ["..."]}. No extra text.',
sys_time: (iso, local, tz) => `Time context (must follow): current system time is ${local} (timezone: ${tz}, ISO: ${iso}). When interpreting relative dates like "today", "this year", or "recent", anchor to this exact time and do not default to past years.`,
sys_judge: 'You are a debate judge. Determine if the two views below conflict. If yes, reply:\nConflict: Yes\nFocus: (one sentence)\nIf no real conflict:\nConflict: No',
sys_debate: (v) => `You are in a debate. Your initial view: ${v}\nThe opponent will rebut you. Defend and strengthen your position while pointing out flaws in theirs. Keep each reply under 150 words.`,
rebut: (msg) => `Opponent said: ${msg}\nPlease rebut:`,
sys_summary: 'You are a debate judge. Summarize both sides\' performance, highlight strengths and weaknesses, and give your final verdict. Within 200 words.',
export: 'Export Text',
topic_prefix: (t) => `Topic: ${t}`,
views_pair: (a, b) => `View A: ${a}\n\nView B: ${b}`,
conflict_yes: 'Conflict: Yes'
}
};
const t = (k) => I[lang][k];
function getTimeContext() {
const now = new Date();
const iso = now.toISOString();
const local = now.toLocaleString();
const tz = Intl.DateTimeFormat().resolvedOptions().timeZone || 'Local';
return { iso, local, tz };
}
function buildViewPrompt(topic, refsText) {
if (!refsText) return t('topic_prefix')(topic);
if (lang === 'zh') {
return `${t('topic_prefix')(topic)}\n\n参考资料（来自 Tavily 搜索）：\n${refsText}\n\n请基于以上参考信息形成你的观点。`;
}
return `${t('topic_prefix')(topic)}\n\nReferences (from Tavily search):\n${refsText}\n\nForm your view with these references.`;
}
function parseSearchPlan(text) {
const raw = (text || '').trim();
const m = raw.match(/\{[\s\S]*\}/);
if (!m) return { need_search: false, queries: [] };
try {
const plan = JSON.parse(m[0]);
const needSearch = !!plan.need_search;
const queries = Array.isArray(plan.queries)
? plan.queries.map(q => String(q || '').trim()).filter(Boolean).slice(0, 3)
: [];
return { need_search: needSearch, queries };
} catch {
return { need_search: false, queries: [] };
}
}
async function fetchTavilyRefs(query, tavilyKey) {
if (!tavilyKey) return '';
const res = await fetch('https://api.tavily.com/search', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
api_key: tavilyKey,
query,
search_depth: 'basic',
max_results: 3
})
});
const data = await res.json();
if (data.error) throw new Error(data.error);
const results = data.results || [];
return results.map((it, idx) => {
const title = it.title || 'Untitled';
const content = (it.content || '').replace(/\s+/g, ' ').trim().slice(0, 180);
const url = it.url || '';
return `${idx + 1}. ${title}\n${content}\n${url}`;
}).join('\n\n');
}
async function generateInitialView(r, topic, tavilyKey, timePrompt) {
let refsText = '';
if (tavilyKey) {
const isA = r === 'A';
addStatus(t(isA ? 'planning_search_a' : 'planning_search_b'));
try {
const planText = await chat([
{ role: 'system', content: timePrompt },
{ role: 'system', content: t('sys_search_plan') },
{ role: 'user', content: t('topic_prefix')(topic) }
], r);
const plan = parseSearchPlan(planText);
if (plan.need_search && plan.queries.length) {
const blocks = [];
for (const q of plan.queries) {
addStatus(t(isA ? 'searching_query_a' : 'searching_query_b')(q));
const one = await fetchTavilyRefs(q, tavilyKey);
if (one) blocks.push(`Query: ${q}\n${one}`);
}
refsText = blocks.join('\n\n');
}
} catch (e) {
addStatus(t(isA ? 'search_plan_fail_a' : 'search_plan_fail_b') + e.message);
}
}
return chat([
{ role: 'system', content: timePrompt },
{ role: 'system', content: t('sys_view') },
{ role: 'user', content: buildViewPrompt(topic, refsText) }
], r);
}
function setLang(l) {
lang = l;
document.querySelectorAll('.lang-btn').forEach(b => b.classList.toggle('active', b.textContent === (l === 'zh' ? '中文' : 'EN')));
document.querySelectorAll('[data-i18n]').forEach(el => { el.textContent = t(el.dataset.i18n); });
document.querySelectorAll('[data-i18n-ph]').forEach(el => { el.placeholder = t(el.dataset.i18nPh); });
}
function onFmtChange(r) {
const fmt = $('fmt'+r).value;
const list = $('mdlList'+r);
list.innerHTML = '';
if (fmt === 'claude') {
$('url'+r).value = 'https://api.anthropic.com/v1/messages';
list.innerHTML = '<option value="claude-sonnet-4-20250514"></option>';
} else {
$('url'+r).value = 'https://api.openai.com/v1/chat/completions';
list.innerHTML = '<option value="gpt-4o-mini"></option>';
}
}
async function fetchModels(r) {
const fmt = $('fmt'+r).value, key = $('key'+r).value, btn = event.target;
if (!key) return alert(t('fill_key'));
btn.disabled = true; btn.textContent = t('fetching');
try {
let models;
if (fmt === 'claude') {
const res = await fetch('https://api.anthropic.com/v1/models', {
headers: { 'x-api-key': key, 'anthropic-version': '2023-06-01', 'anthropic-dangerous-direct-browser-access': 'true' }
});
models = ((await res.json()).data || []).map(m => m.id).sort();
} else {
const base = $('url'+r).value.replace(/\/chat\/completions\/?$/, '');
const res = await fetch(base + '/models', { headers: { 'Authorization': `Bearer ${key}` } });
models = ((await res.json()).data || []).map(m => m.id).sort();
}
if (models.length) {
const list = $('mdlList'+r);
list.innerHTML = '';
models.forEach(m => {
const opt = document.createElement('option');
opt.value = m;
list.appendChild(opt);
});
} else alert(t('no_models'));
} catch(e) { alert(t('fetch_fail') + e.message); }
btn.disabled = false; btn.textContent = t('fetch');
}
function addMsg(role, text, type) {
const d = document.createElement('div');
d.className = `msg msg-${type}`;
d.innerHTML = `<div class="role">${role}</div>${text}`;
arena.appendChild(d);
d.scrollIntoView({ behavior: 'smooth' });
}
function addStatus(text) {
const d = document.createElement('div');
d.className = 'status';
d.textContent = text;
arena.appendChild(d);
}
async function chat(messages, r) {
const fmt = $('fmt'+r).value, key = $('key'+r).value;
const model = $('mdl'+r).value, url = $('url'+r).value;
if (fmt === 'claude') {
const sys = messages.filter(m => m.role === 'system').map(m => m.content).join('\n\n');
const msgs = messages.filter(m => m.role !== 'system');
const res = await fetch(url, {
method: 'POST',
headers: { 'Content-Type': 'application/json', 'x-api-key': key, 'anthropic-version': '2023-06-01', 'anthropic-dangerous-direct-browser-access': 'true' },
body: JSON.stringify({ model, max_tokens: 1024, system: sys, messages: msgs })
});
const data = await res.json();
if (data.error) throw new Error(data.error.message);
return data.content[0].text;
}
const res = await fetch(url, {
method: 'POST',
headers: { 'Content-Type': 'application/json', 'Authorization': `Bearer ${key}` },
body: JSON.stringify({ model, messages })
});
const data = await res.json();
if (data.error) throw new Error(data.error.message);
return data.choices[0].message.content;
}
async function start() {
const topic = $('topic').value.trim();
const rounds = parseInt($('rounds').value);
const tavilyKey = $('tavilyKey').value.trim();
const tc = getTimeContext();
const timePrompt = t('sys_time')(tc.iso, tc.local, tc.tz);
if (!topic) return alert(t('fill_topic'));
if (!$('keyA').value || !$('keyB').value || !$('keyJ').value) return alert(t('fill_keys'));
if (!$('mdlA').value.trim() || !$('mdlB').value.trim() || !$('mdlJ').value.trim()) return alert(t('fill_models'));
$('startBtn').disabled = true;
arena.innerHTML = '';
const nA = $('mdlA').value, nB = $('mdlB').value, nJ = $('mdlJ').value;
try {
addStatus(t('thinking_a'));
const viewA = await generateInitialView('A', topic, tavilyKey, timePrompt);
addMsg(`AI-A(${nA}) ${t('view_a')}`, viewA, 'a');
addStatus(t('thinking_b'));
const viewB = await generateInitialView('B', topic, tavilyKey, timePrompt);
addMsg(`AI-B(${nB}) ${t('view_b')}`, viewB, 'b');
addStatus(t('judging'));
const judgeCheck = await chat([
{ role: 'system', content: timePrompt },
{ role: 'system', content: t('sys_judge') },
{ role: 'user', content: t('views_pair')(viewA, viewB) }
], 'J');
addMsg(`${t('judge_check')}(${nJ})`, judgeCheck, 'judge');
if (!judgeCheck.includes(t('conflict_yes'))) {
addStatus(t('no_conflict'));
$('startBtn').disabled = false;
return;
}
addStatus(t('conflict_found')(rounds));
const historyA = [
{ role: 'system', content: timePrompt },
{ role: 'system', content: t('sys_debate')(viewA) }
];
const historyB = [
{ role: 'system', content: timePrompt },
{ role: 'system', content: t('sys_debate')(viewB) }
];
let lastMsg = viewB;
for (let i = 1; i <= rounds; i++) {
addStatus(t('round')(i, rounds));
historyA.push({ role: 'user', content: t('rebut')(lastMsg) });
const replyA = await chat(historyA, 'A');
historyA.push({ role: 'assistant', content: replyA });
addMsg(t('round_a')(i), replyA, 'a');
historyB.push({ role: 'user', content: t('rebut')(replyA) });
const replyB = await chat(historyB, 'B');
historyB.push({ role: 'assistant', content: replyB });
addMsg(t('round_b')(i), replyB, 'b');
lastMsg = replyB;
}
addStatus(t('summarizing'));
const summary = await chat([
{ role: 'system', content: timePrompt },
{ role: 'system', content: t('sys_summary') },
{ role: 'user', content: arena.innerText }
], 'J');
addMsg(t('summary'), summary, 'judge');
addStatus(t('done'));
const eb = document.createElement('button');
eb.textContent = t('export');
eb.style.cssText = 'display:block;margin:12px auto;padding:8px 20px;background:#222;color:#aaa;border:1px solid #555;border-radius:6px;cursor:pointer;font-size:14px;';
eb.onclick = () => { const a = document.createElement('a'); a.href = URL.createObjectURL(new Blob([arena.innerText],{type:'text/plain'})); a.download = 'debate.txt'; a.click(); };
arena.appendChild(eb);
} catch(e) { addStatus(t('error') + e.message); }
$('startBtn').disabled = false;
}
</script>
</body>
</html>