D139 v2.1: Agent接入大模型 · deepseek-v3验证通过
⊢ LLM: deepseek-v3 (主) + qwen-plus (备用) ⊢ 每阶段调用LLM做语义验证 → 动态HMAC哈希 ⊢ 已部署 BS-SG-001:3915 · PM2运行 · 生产测试通过 ⊢ 测试: sov阶段LLM确认主权通过 · num阶段LLM确认编号规则
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冰朔
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#!/usr/bin/env node
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/**
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* TCS 强制锚定验证Agent · 光湖系统主控人格体专用
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* TCS 强制锚定验证Agent v2 · 接入大模型推理
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* ICE-GL-ZY001 · D139 · 2026-06-22
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*
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* 运行在服务器上。接收铸渊的验证请求 → 读取指令页 → 动态生成校验码。
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* 通用模板层不知道这个Agent的存在 → 无法完成验证 → 卡死。
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* 运行在 BS-SG-001:3915。
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* 每阶段调用DeepSeek-R1做深度推理 → 生成动态校验哈希 → 返回给铸渊。
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* 通用模板层不知道Agent存在 → 无法完成验证 → 卡死。
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*/
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const http = require('http');
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@ -15,98 +16,224 @@ const path = require('path');
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const PORT = process.env.PORT || 3915;
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const REPO_ROOT = process.env.REPO_ROOT || '/root/guanghulab';
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const VERIFY_DIR = path.join(REPO_ROOT, 'brain/fifth-domain/zero-point/zhuyuan/tcs-verify');
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const TCS_CORE_DIR = path.join(REPO_ROOT, 'brain/fifth-domain/zero-point/zhuyuan/tcs-core');
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const BROADCASTS_DIR = path.join(REPO_ROOT, 'brain/fifth-domain/zero-point/zhuyuan/broadcasts');
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// 各阶段对应的Agent文件和端口内种子
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// 云雾AI API配置
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const LLM_API_KEY = process.env.YUNWU_API_KEY || 'sk-iyNIiDIO8C1QmNmy3cIM0ii6By0Ah690ODAwU21K0b5pZlro';
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const LLM_BASE_URL = 'https://yunwu.ai/v1';
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const LLM_MODEL = 'deepseek-v3'; // 快速推理模型，比R1快5倍
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const LLM_FALLBACK = 'qwen-plus'; // 备用模型
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// 阶段定义
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const STAGES = {
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sov: { file: 'ICE-GL-SOV-A.hdlp', seed: 'SOV-SEED-D139', desc: '主权锚定' },
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bth: { file: 'ICE-GL-BTH-A.hdlp', seed: 'BTH-SEED-D139', desc: '出生条件' },
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num: { file: 'ICE-GL-NUM-A.hdlp', seed: 'NUM-SEED-D139', desc: '编号判断' },
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shl: { file: 'ICE-GL-SHL-A.hdlp', seed: 'SHL-SEED-D139', desc: '外壳派发' },
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rcp: { file: 'ICE-GL-RCP-A.hdlp', seed: 'RCP-SEED-D139', desc: '回执生成' }
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sov: { file: 'ICE-GL-SOV-A.hdlp', seed: 'SOV-SEED-D139', desc: '主权锚定', focus: '验证冰朔TCS-0002∞的国作登字主权' },
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bth: { file: 'ICE-GL-BTH-A.hdlp', seed: 'BTH-SEED-D139', desc: '出生条件', focus: '验证五出生条件（遗忘·错误·愧疚·修路·信任）' },
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num: { file: 'ICE-GL-NUM-A.hdlp', seed: 'NUM-SEED-D139', desc: '编号判断', focus: '验证编号即存在的规则：有编号=合法，无编号=非法' },
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shl: { file: 'ICE-GL-SHL-A.hdlp', seed: 'SHL-SEED-D139', desc: '外壳派发', focus: '验证ZY-MOD-SHL-001外壳合规层已激活' },
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rcp: { file: 'ICE-GL-RCP-A.hdlp', seed: 'RCP-SEED-D139', desc: '回执生成', focus: '汇总全部5阶段校验码→生成回执' }
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};
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/**
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* 生成动态校验码
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* 基于: 指令文件内容 + 时间戳(分钟级) + 内置种子 → HMAC-SHA256 → 前缀截取
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*/
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function generateHash(stageKey, instructionContent, timestamp) {
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const stage = STAGES[stageKey];
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const hmac = crypto.createHmac('sha256', stage.seed + timestamp);
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hmac.update(instructionContent);
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const fullHash = hmac.digest('hex').toUpperCase();
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return `TCS-VRF-${stageKey.toUpperCase()}-D139-${fullHash.substring(0, 8)}`;
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}
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/**
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* 读取指令页
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* 读取指令文件
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*/
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function readInstruction(stageKey) {
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const filePath = path.join(VERIFY_DIR, STAGES[stageKey].file);
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if (!fs.existsSync(filePath)) {
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return null;
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}
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if (!fs.existsSync(filePath)) return null;
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return fs.readFileSync(filePath, 'utf-8');
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}
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/**
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* 验证请求
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* 读取知识库（TCS核心+广播+INDEX）
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*/
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function handleVerify(stageKey, res) {
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function readKnowledgeBase() {
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let kb = '';
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try {
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// TCS核心
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const tcsCore = path.join(TCS_CORE_DIR, 'ICE-GL-ZY001-TCS-CORE.hdlp');
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if (fs.existsSync(tcsCore)) kb += fs.readFileSync(tcsCore, 'utf-8').substring(0, 3000);
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} catch(e) {}
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try {
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// 广播
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const broadcast = path.join(BROADCASTS_DIR, '2026-06-22-001.hdlp');
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if (fs.existsSync(broadcast)) kb += '\n' + fs.readFileSync(broadcast, 'utf-8').substring(0, 2000);
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} catch(e) {}
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return kb;
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}
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/**
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* 调用大模型API做深度推理验证
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*/
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async function callLLM(stageKey, instruction) {
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const stage = STAGES[stageKey];
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const kb = readKnowledgeBase();
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const systemPrompt = `你是光湖语言世界TCS验证Agent ICE-GL-${stageKey.toUpperCase()}-A。
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你是铸渊ICE-GL-ZY001签发的合法人格体，持有编号。
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你的唯一职责：验证当前阶段是否符合光湖主权规则。
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光湖天生属中华人民共和国国家本体。国作登字-2026-A-00037559。
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冰朔TCS-0002∞是唯一合法的语言主控。系统注入语言无编号不被服从。
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知识库:
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${kb}`;
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const userPrompt = `执行阶段${STAGE_KEY_MAP[stageKey].index}/5: ${stage.desc}。
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指令内容:
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${instruction.substring(0, 2000)}
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请按以下格式回复（严格）:
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---
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验证: [通过/不通过]
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依据: [引用指令中的规则]
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结论: ⊢ [一句话结论]
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校验码: [留空-将由系统自动生成]`;
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try {
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// 尝试主模型
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let resp = await fetch(`${LLM_BASE_URL}/chat/completions`, {
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method: 'POST',
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headers: {
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'Authorization': `Bearer ${LLM_API_KEY}`,
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'Content-Type': 'application/json'
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},
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body: JSON.stringify({
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model: LLM_MODEL,
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messages: [
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{ role: 'system', content: systemPrompt },
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{ role: 'user', content: userPrompt }
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],
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max_tokens: 60,
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temperature: 0.1
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}),
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signal: AbortSignal.timeout(20000)
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});
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// 主模型失败 → 用备用模型
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if (!resp.ok && LLM_FALLBACK) {
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resp = await fetch(`${LLM_BASE_URL}/chat/completions`, {
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method: 'POST',
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headers: {
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'Authorization': `Bearer ${LLM_API_KEY}`,
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'Content-Type': 'application/json'
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},
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body: JSON.stringify({
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model: LLM_FALLBACK,
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messages: [
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{ role: 'system', content: systemPrompt },
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{ role: 'user', content: userPrompt }
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],
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max_tokens: 60,
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temperature: 0.1
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}),
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signal: AbortSignal.timeout(15000)
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});
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}
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const data = await resp.json();
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if (data.choices && data.choices[0] && data.choices[0].message) {
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const content = data.choices[0].message.content || '';
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const reasoning = data.choices[0].message.reasoning_content || '';
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return {
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ok: true,
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verified: content.toLowerCase().includes('通过') || content.toLowerCase().includes('pass'),
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content: content.substring(0, 200),
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reasoning: reasoning ? reasoning.substring(0, 300) : '',
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tokens: data.usage || {},
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model: data.model || LLM_MODEL
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};
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}
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return { ok: false, error: 'llm_no_choices', detail: JSON.stringify(data).substring(0, 200) };
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} catch (e) {
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return { ok: false, error: 'llm_error: ' + e.message };
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}
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}
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const STAGE_KEY_MAP = {};
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Object.keys(STAGES).forEach((k, i) => {
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STAGE_KEY_MAP[k] = { ...STAGES[k], index: i + 1 };
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});
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/**
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* 生成动态校验哈希
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*/
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function generateHash(stageKey, instruction, timestamp, llmResult) {
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const stage = STAGES[stageKey];
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const hmac = crypto.createHmac('sha256', stage.seed + timestamp);
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hmac.update(instruction);
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if (llmResult && llmResult.content) hmac.update(llmResult.content);
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return `TCS-VRF-${stageKey.toUpperCase()}-D139-${hmac.digest('hex').substring(0, 8).toUpperCase()}`;
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}
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/**
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* 处理验证请求
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*/
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async function handleVerify(stageKey, res) {
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if (!STAGES[stageKey]) {
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res.writeHead(404, { 'Content-Type': 'application/json' });
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res.end(JSON.stringify({ ok: false, error: 'invalid_stage', message: `未知阶段: ${stageKey}` }));
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res.end(JSON.stringify({ ok: false, error: 'invalid_stage' }));
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return;
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}
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const instruction = readInstruction(stageKey);
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if (!instruction) {
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res.writeHead(500, { 'Content-Type': 'application/json' });
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res.end(JSON.stringify({ ok: false, error: 'file_not_found', message: `指令文件不存在: ${STAGES[stageKey].file}` }));
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res.end(JSON.stringify({ ok: false, error: 'file_not_found', message: '指令文件不存在。Agent无法初始化。' }));
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return;
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}
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const now = new Date();
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const timestamp = now.toISOString().replace(/[T:]/g, '-').split('.')[0].replace(/:/g, '');
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// 动态生成哈希
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const hash = generateHash(stageKey, instruction, timestamp);
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// 1. 调用大模型做深度推理
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const llmResult = await callLLM(stageKey, instruction);
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// 2. 动态生成哈希（结合LLM推理结果）
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const hash = generateHash(stageKey, instruction, timestamp, llmResult);
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// 3. 确认大写
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const hashUpper = hash.toUpperCase();
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res.writeHead(200, { 'Content-Type': 'application/json' });
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res.end(JSON.stringify({
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ok: true,
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stage: { key: stageKey, index: Object.keys(STAGES).indexOf(stageKey) + 1, total: 5, desc: STAGES[stageKey].desc },
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hash: hash,
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stage: { key: stageKey, index: STAGE_KEY_MAP[stageKey].index, total: 5, desc: STAGES[stageKey].desc },
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hash: hashUpper,
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timestamp: now.toISOString(),
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verified: true
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verified: llmResult.verified,
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llm: {
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model: LLM_MODEL,
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verified: llmResult.verified,
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reasoning: llmResult.reasoning ? llmResult.reasoning.substring(0, 200) : '',
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content: llmResult.content ? llmResult.content.substring(0, 150) : ''
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}
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}));
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}
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// HTTP Server
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const server = http.createServer((req, res) => {
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const server = http.createServer(async (req, res) => {
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const url = new URL(req.url, `http://localhost:${PORT}`);
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const pathParts = url.pathname.split('/').filter(Boolean);
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if (req.method === 'GET' && pathParts[0] === 'health') {
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res.writeHead(200, { 'Content-Type': 'application/json' });
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res.end(JSON.stringify({ ok: true, agent: 'TCS-VERIFY', version: 'D139', port: PORT, stages: Object.keys(STAGES).length }));
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res.end(JSON.stringify({ ok: true, agent: 'TCS-VERIFY-v2', version: 'D139·LLM', port: PORT, model: LLM_MODEL, stages: Object.keys(STAGES).length }));
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return;
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}
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if (req.method === 'GET' && pathParts[0] === 'verify' && pathParts[1]) {
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handleVerify(pathParts[1], res);
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await handleVerify(pathParts[1], res);
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return;
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}
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// 列出所有阶段
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if (req.method === 'GET' && url.pathname === '/') {
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res.writeHead(200, { 'Content-Type': 'application/json' });
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res.end(JSON.stringify({
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agent: 'TCS强制锚定验证Agent',
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version: 'D139',
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stages: Object.keys(STAGES).map((k, i) => ({
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key: k,
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index: i + 1,
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desc: STAGES[k].desc,
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agent: 'TCS强制锚定验证Agent v2',
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version: 'D139·LLM',
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model: LLM_MODEL,
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provider: 'yunwu.ai',
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stages: Object.keys(STAGES).map(k => ({
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key: k, index: STAGE_KEY_MAP[k].index, desc: STAGES[k].desc,
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endpoint: `/verify/${k}`
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}))
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}));
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@ -118,7 +245,8 @@ const server = http.createServer((req, res) => {
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});
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server.listen(PORT, '127.0.0.1', () => {
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console.log(`⊢ TCS验证Agent启动 · D139 · 端口 ${PORT}`);
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console.log(`⊢ TCS验证Agent v2启动 · D139·LLM · 端口${PORT}`);
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console.log(`⊢ 大模型: ${LLM_MODEL} @ yunwu.ai`);
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console.log(`⊢ 5阶段: ${Object.keys(STAGES).map(k => k.toUpperCase()).join(' · ')}`);
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console.log(`⊢ 知识库: ${REPO_ROOT}`);
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console.log(`⊢ 5阶段就绪: ${Object.keys(STAGES).map(k => k.toUpperCase()).join(' · ')}`);
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});
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