feat(server): KB prompt优化、字幕修复、S2S重连、助手配置API

- assistantProfileConfig: KB answer prompt改为分层策略(严格产品信息+灵活常识补充)
- nativeVoiceGateway: S2S upstream自动重连(最多50次)、event 351字幕debounce(800ms取最长文本)
- toolExecutor: 确定性query改写增强、KB查询传递session上下文
- contextKeywordTracker: 支持KB话题记忆优先enrichment
- contentSafeGuard: 新增品牌安全内容过滤服务
- assistantProfileService: 新增助手配置CRUD服务
- routes/assistantProfile: 新增助手配置API路由
- knowledgeKeywords: 扩展KB关键词词典
- fastAsrCorrector: ASR纠错规则更新
- tests/: KB prompt测试、保护窗口测试、Viking性能测试
- docs/: 助手配置API文档、系统提示词目录

test2/server/services/toolExecutor.js

@@ -1,7 +1,8 @@
 const axios = require('axios');
 const https = require('https');
 const arkChatService = require('./arkChatService');
-const { buildKnowledgeAnswerPrompt } = require('./assistantProfileConfig');
+const { buildKnowledgeAnswerPrompt, resolveAssistantProfile } = require('./assistantProfileConfig');
+const { getAssistantProfile } = require('./assistantProfileService');
 
 // HTTP keep-alive agent：复用TCP连接，避免每次请求重新握手
 const kbHttpAgent = new https.Agent({
@@ -43,14 +44,14 @@ const {
   SCIENCE_TRAINING_ROUTE_KEYWORDS,
 } = require('./knowledgeKeywords');
 
-// KB查询缓存：相同effectiveQuery + datasetIds在TTL内直接返回缓存结果
+// KB查询缓存：相同effectiveQuery + datasetIds + userId在TTL内直接返回缓存结果
 const KB_CACHE_TTL_MS = 5 * 60 * 1000; // 5分钟 (hit结果)
 const KB_CACHE_NOHIT_TTL_MS = 2 * 60 * 1000; // 2分钟 (no-hit结果，较短TTL)
 const KB_CACHE_MAX_SIZE = 200;
 const kbQueryCache = new Map();
 
-function getKbCacheKey(query, datasetIds) {
-  return `${(query || '').trim()}|${(datasetIds || []).sort().join(',')}`;
+function getKbCacheKey(query, datasetIds, profileScope = 'global') {
+  return `${String(profileScope || 'global').trim() || 'global'}|${(query || '').trim()}|${(datasetIds || []).sort().join(',')}`;
 }
 
 function getKbCache(key) {
@@ -698,6 +699,16 @@ class ToolExecutor {
     query = query || '';
     const responseMode = response_mode === 'snippet' ? 'snippet' : 'answer';
     const knowledgeEndpointId = process.env.VOLC_ARK_KNOWLEDGE_ENDPOINT_ID || process.env.VOLC_ARK_ENDPOINT_ID;
+    const profileUserId = _session?.profileUserId || _session?.userId || null;
+    const assistantProfileResult = await getAssistantProfile({ userId: profileUserId });
+    const assistantProfile = resolveAssistantProfile({
+      ...(assistantProfileResult?.profile || {}),
+      ...(_session?.assistantProfile || {}),
+    });
+    if (_session && assistantProfileResult?.profile) {
+      _session.assistantProfile = assistantProfile;
+    }
+    const profileScope = profileUserId || 'global';
     console.log(`[ToolExecutor] searchKnowledge called with query="${query}"`);
 
     // 注意：answer 模式必须依据知识库回答，因此不再允许本地热答案直接绕过知识库。
@@ -748,7 +759,7 @@ class ToolExecutor {
       }
       try {
         // 缓存检查：相同effectiveQuery + datasetIds命中缓存时直接返回，避免重复API调用
-        const cacheKey = getKbCacheKey(effectiveQuery, kbTarget.datasetIds);
+        const cacheKey = getKbCacheKey(effectiveQuery, kbTarget.datasetIds, profileScope);
         const cached = getKbCache(cacheKey);
         if (cached) {
           const latencyMs = Date.now() - startTime;
@@ -764,7 +775,7 @@ class ToolExecutor {
           };
         }
         console.log('[ToolExecutor] Trying Ark Knowledge Search...');
-        const arkResult = await this.searchArkKnowledge(effectiveQuery, context, responseMode, kbTarget.datasetIds, query, _session?.assistantProfile || null);
+        const arkResult = await this.searchArkKnowledge(effectiveQuery, context, responseMode, kbTarget.datasetIds, query, assistantProfile);
         const latencyMs = Date.now() - startTime;
         console.log(`[ToolExecutor] Ark KB search succeeded in ${latencyMs}ms`);
         // 缓存所有结果（hit用5分钟TTL，no-hit用2分钟TTL），避免重复API调用