Update story summary recall and prompt

modules/story-summary/generate/llm.js

@@ -100,14 +100,19 @@ Acknowledged. Now reviewing the incremental summarization specifications:
 ├─ progress: 0.0 to 1.0
 └─ newMoment: 仅记录本次新增的关键时刻
 
-[Fact Tracking - SPO Triples]
-├─ s: 主体（角色名/物品名）
-├─ p: 谓词（属性名）
-│   - 关系类只允许：对X的看法 / 与X的关系
-├─ o: 值（当前状态）
-├─ trend: 仅关系类填写
-├─ retracted: 删除标记
-└─ s+p 为键，相同键会覆盖旧值
+[Fact Tracking - SPO ???]
+?? ??: ?? & ???????
+?? ??: ??????????????????
+?? SPO ??:
+?   s: ??????/????
+?   p: ??????????????
+?   o: ???
+?? KV ??: s+p ??????????
+?? isState ????????:
+?   true  = ????????????/??/??/???
+?   false = ??????????????
+?? trend: ?????????/??/??/??/??/??/???
+?? retracted: true ???????
 
 Ready to process incremental summary requests with strict deduplication.`,
 
@@ -177,26 +182,28 @@ Before generating, observe the USER and analyze carefully:
   "arcUpdates": [
     {"name": "角色名", "trajectory": "当前阶段描述(15字内)", "progress": 0.0-1.0, "newMoment": "本次新增的关键时刻"}
   ],
-  "factUpdates": [
+    "factUpdates": [
     {
-      "s": "主体（角色名/物品名）",
-      "p": "谓词（属性名/对X的看法）",
+      "s": "主体",
+      "p": "谓词（复用已有谓词，避免同义词）",
       "o": "当前值",
-      "trend": "破裂|厌恶|反感|陌生|投缘|亲密|交融",
-      "retracted": false
+      "isState": true/false,
+      "trend": "仅关系类：破裂|厌恶|反感|陌生|投缘|亲密|交融"
     }
   ]
 }
+
+
 \`\`\`
 
 ## factUpdates 规则
+- 目的: 纠错 & 世界一致性约束，只记录硬性事实
 - s+p 为键，相同键会覆盖旧值
-- 状态类：s=角色名, p=属性(生死/位置/状态等), o=值
-- 关系类：s=角色A, p="对B的看法" 或 p="与B的关系"，trend 仅限关系类
-- 删除：设置 retracted: true（不需要填 o）
-- 只输出有变化的条目
-- 硬约束才记录，避免叙事化，确保少、硬、稳定
-
+- isState: true=核心约束(位置/身份/生死/关系)，false=有容量上限会被清理
+- 关系类: p="对X的看法"，trend 必填
+- 删除: 设置 retracted: true
+- 谓词规范化: 复用已有谓词，不要发明同义词
+- 只输出有变化的条目，确保少、硬、稳定
 ## CRITICAL NOTES
 - events.id 从 evt-{nextEventId} 开始编号
 - 仅输出【增量】内容，已有事件绝不重复
@@ -267,9 +274,11 @@ function waitForStreamingComplete(sessionId, streamingMod, timeout = 120000) {
 
 function formatFactsForLLM(facts) {
     if (!facts?.length) {
-        return '（空白，尚无事实记录）';
+        return { text: '（空白，尚无事实记录）', predicates: [] };
     }
 
+    const predicates = [...new Set(facts.map(f => f.p).filter(Boolean))];
+
     const lines = facts.map(f => {
         if (f.trend) {
             return `- ${f.s} | ${f.p} | ${f.o} [${f.trend}]`;
@@ -277,11 +286,18 @@ function formatFactsForLLM(facts) {
         return `- ${f.s} | ${f.p} | ${f.o}`;
     });
 
-    return lines.join('\n') || '（空白，尚无事实记录）';
+    return {
+        text: lines.join('\n') || '（空白，尚无事实记录）',
+        predicates,
+    };
 }
 
 function buildSummaryMessages(existingSummary, existingFacts, newHistoryText, historyRange, nextEventId, existingEventCount) {
-    const factsText = formatFactsForLLM(existingFacts);
+    const { text: factsText, predicates } = formatFactsForLLM(existingFacts);
+
+    const predicatesHint = predicates.length > 0
+        ? `\n\n<\u5df2\u6709\u8c13\u8bcd\uff0c\u8bf7\u590d\u7528>\n${predicates.join('\u3001')}\n</\u5df2\u6709\u8c13\u8bcd\uff0c\u8bf7\u590d\u7528>`
+        : '';
 
     const jsonFormat = LLM_PROMPT_CONFIG.userJsonFormat
         .replace(/\{nextEventId\}/g, String(nextEventId));
@@ -293,9 +309,9 @@ function buildSummaryMessages(existingSummary, existingFacts, newHistoryText, hi
         { role: 'system', content: LLM_PROMPT_CONFIG.topSystem },
         { role: 'assistant', content: LLM_PROMPT_CONFIG.assistantDoc },
         { role: 'assistant', content: LLM_PROMPT_CONFIG.assistantAskSummary },
-        { role: 'user', content: `<已有总结状态>\n${existingSummary}\n</已有总结状态>\n\n<当前事实图谱>\n${factsText}\n</当前事实图谱>` },
+        { role: 'user', content: `<\u5df2\u6709\u603b\u7ed3\u72b6\u6001>\n${existingSummary}\n</\u5df2\u6709\u603b\u7ed3\u72b6\u6001>\n\n<\u5f53\u524d\u4e8b\u5b9e\u56fe\u8c31>\n${factsText}\n</\u5f53\u524d\u4e8b\u5b9e\u56fe\u8c31>${predicatesHint}` },
         { role: 'assistant', content: LLM_PROMPT_CONFIG.assistantAskContent },
-        { role: 'user', content: `<新对话内容>（${historyRange}）\n${newHistoryText}\n</新对话内容>` }
+        { role: 'user', content: `<\u65b0\u5bf9\u8bdd\u5185\u5bb9>\uff08${historyRange}\uff09\n${newHistoryText}\n</\u65b0\u5bf9\u8bdd\u5185\u5bb9>` }
     ];
 
     const bottomMessages = [
@@ -311,6 +327,7 @@ function buildSummaryMessages(existingSummary, existingFacts, newHistoryText, hi
     };
 }
 
+
 // ═══════════════════════════════════════════════════════════════════════════
 // JSON 解析
 // ═══════════════════════════════════════════════════════════════════════════
@@ -415,4 +432,4 @@ export async function generateSummary(options) {
     console.groupEnd();
 
     return rawOutput;
-}
+}