fix: recover WeChat page thumbnail delivery

Retry a service-account page once in a fresh session when the first run omits its required current-run thumbnail; notify only after the retry also fails.

.env.example

@@ -265,6 +265,8 @@ VITE_TKMIND_WORKING_DIR=/Users/john/PycharmProjects/tkmind
 # IMAGE_MAKE_SEMANTIC_REVIEW_ENABLED=1
 # IMAGE_MAKE_SEMANTIC_REVIEW_MIN_SCORE=70
 # IMAGE_MAKE_SEMANTIC_REVIEW_MAX_ATTEMPTS=3
+# H5_WECHAT_MP_FRESH_PAGE_THUMBNAILS=1
+# H5_WECHAT_MP_FRESH_THUMBNAIL_REPAIR=0
 # Sandbox MCP 调用 Portal 内部生图入口；容器内通常使用 host.docker.internal。
 # MINDSPACE_AGENT_API_BASE_URL=http://127.0.0.1:8081/api
 

conversation-memory.mjs

@@ -109,6 +109,7 @@ function buildMemoryPrompt(messages) {
     '你是 TKMind 的用户长期记忆提取器。',
     '请从下面的用户对话中提取可以长期复用的个人记忆。',
     '只记录用户明确表达或强证据支持的信息，不要猜测，不要记录临时闲聊。',
+    '不要把问题、请求、指令或待办本身当作用户事实；问句没有提供答案时不要记录。',
     '不要记录密码、密钥、身份证、手机号、银行卡等敏感信息。',
     '只返回 JSON 对象，不要 Markdown，不要解释。',
     '格式：{"memories":[{"label":"preference|habit|interest|goal|fact|experience|knowledge","text":"一句完整中文记忆","confidence":0.0-1.0}]}',
@@ -382,7 +383,9 @@ export function createConversationMemoryService(pool, options = {}) {
         warnLlmExtractionFailed(err);
       }
     }
-    if (!memories?.length) memories = fallbackMemoriesFromMessages(messages);
+    // An empty array is an authoritative LLM decision that the batch contains no
+    // durable memory. Only fall back when extraction was unavailable (`null`).
+    if (memories == null) memories = fallbackMemoriesFromMessages(messages);
     const stored = await storeMemories(userId, messages, memories);
     await markAnalyzed(messages.map((message) => message.id));
     return { ok: true, analyzed: messages.length, memories: stored };

conversation-memory.test.mjs

@@ -208,6 +208,35 @@ test('saveAndAnalyze marks messages analyzed when llm extraction fails and no me
   else process.env.USER_CONVERSATION_MEMORY_LLM_ENABLED = previous;
 });
 
+test('saveAndAnalyze still uses fallback when llm extraction is unavailable', async () => {
+  const previous = process.env.USER_CONVERSATION_MEMORY_LLM_ENABLED;
+  process.env.USER_CONVERSATION_MEMORY_LLM_ENABLED = '1';
+  const pool = createPool();
+  const service = createConversationMemoryService(pool, {
+    now: () => 2250,
+    llmProviderService: {
+      async createChatCompletion() {
+        throw new Error('upstream unavailable');
+      },
+    },
+  });
+
+  const result = await service.saveAndAnalyze('session-fallback', 'user-fallback', [
+    {
+      id: 'm-fallback',
+      role: 'user',
+      content: [{ type: 'text', text: '我喜欢简洁的回答。' }],
+      metadata: { userVisible: true },
+    },
+  ]);
+
+  assert.equal(result.memories, 1);
+  assert.match(pool.state.memories[0].memory_text, /简洁/);
+
+  if (previous == null) delete process.env.USER_CONVERSATION_MEMORY_LLM_ENABLED;
+  else process.env.USER_CONVERSATION_MEMORY_LLM_ENABLED = previous;
+});
+
 test('saveAndAnalyze uses admin effective env for memory extraction model', async () => {
   const previous = process.env.USER_CONVERSATION_MEMORY_LLM_ENABLED;
   process.env.USER_CONVERSATION_MEMORY_LLM_ENABLED = '1';
@@ -284,6 +313,40 @@ test('saveAndAnalyze extracts memories through llmProviderService', async () =>
   else process.env.USER_CONVERSATION_MEMORY_LLM_ENABLED = previous;
 });
 
+test('saveAndAnalyze respects an empty llm result instead of storing a question through fallback', async () => {
+  const previous = process.env.USER_CONVERSATION_MEMORY_LLM_ENABLED;
+  process.env.USER_CONVERSATION_MEMORY_LLM_ENABLED = '1';
+  const pool = createPool();
+  const service = createConversationMemoryService(pool, {
+    now: () => 2750,
+    llmProviderService: {
+      async createChatCompletion({ messages }) {
+        assert.match(String(messages?.[0]?.content ?? ''), /问句没有提供答案时不要记录/);
+        return {
+          ok: true,
+          reply: JSON.stringify({ memories: [] }),
+        };
+      },
+    },
+  });
+
+  const result = await service.saveAndAnalyze('session-question', 'user-question', [
+    {
+      id: 'm-question',
+      role: 'user',
+      content: [{ type: 'text', text: '用户记住的记忆召回灰度测试代号是什么？' }],
+      metadata: { userVisible: true },
+    },
+  ]);
+
+  assert.equal(result.analyzed, 1);
+  assert.equal(result.memories, 0);
+  assert.equal(pool.state.memories.length, 0);
+
+  if (previous == null) delete process.env.USER_CONVERSATION_MEMORY_LLM_ENABLED;
+  else process.env.USER_CONVERSATION_MEMORY_LLM_ENABLED = previous;
+});
+
 test('saveAndAnalyze throttles repeated llm extraction warnings', async () => {
   const previous = process.env.USER_CONVERSATION_MEMORY_LLM_ENABLED;
   process.env.USER_CONVERSATION_MEMORY_LLM_ENABLED = '1';

conversation-repair.mjs

@@ -47,6 +47,117 @@ export function filterUserVisibleConversation(messages) {
   return messages.filter((message) => message?.metadata?.userVisible !== false);
 }
 
+export function parseAgentRunUserMessage(row) {
+  const raw = row?.user_message_json ?? row?.userMessageJson;
+  let parsed = raw;
+  if (typeof raw === 'string') {
+    try {
+      parsed = JSON.parse(raw);
+    } catch {
+      return null;
+    }
+  }
+  if (!parsed || typeof parsed !== 'object' || Array.isArray(parsed)) return null;
+  const message = {
+    ...parsed,
+    role: 'user',
+    metadata: {
+      ...(parsed.metadata && typeof parsed.metadata === 'object' ? parsed.metadata : {}),
+      userVisible: true,
+      agentVisible: true,
+      memoryInputSource: 'agent-run-original',
+    },
+  };
+  return extractConversationMessageText(message) ? message : null;
+}
+
+export function restoreConversationUserMessagesFromAgentRunRows(messages, runRows) {
+  const conversation = Array.isArray(messages) ? messages : [];
+  const originals = (Array.isArray(runRows) ? runRows : [])
+    .map((row) => parseAgentRunUserMessage(row))
+    .filter(Boolean);
+  if (originals.length === 0) return conversation;
+
+  const userIndexes = conversation
+    .map((message, index) => (message?.role === 'user' ? index : -1))
+    .filter((index) => index >= 0);
+  if (userIndexes.length === 0) return conversation;
+
+  const restored = [...conversation];
+  let userOffset = userIndexes.length - 1;
+  let originalOffset = originals.length - 1;
+  while (userOffset >= 0 && originalOffset >= 0) {
+    const messageIndex = userIndexes[userOffset];
+    const current = restored[messageIndex] ?? {};
+    const original = originals[originalOffset];
+    restored[messageIndex] = {
+      ...current,
+      role: 'user',
+      content: original.content,
+      metadata: {
+        ...(current.metadata && typeof current.metadata === 'object' ? current.metadata : {}),
+        ...(original.metadata && typeof original.metadata === 'object' ? original.metadata : {}),
+        userVisible: current?.metadata?.userVisible ?? true,
+        agentVisible: current?.metadata?.agentVisible ?? true,
+        memoryInputSource: 'agent-run-original',
+      },
+    };
+    userOffset -= 1;
+    originalOffset -= 1;
+  }
+  return restored;
+}
+
+export async function loadSuccessfulAgentRunUserMessageRows(
+  pool,
+  sessionId,
+  userId,
+  { limit = 200 } = {},
+) {
+  if (!pool || !sessionId || !userId) return [];
+  const resolvedLimit = Math.max(1, Math.min(200, Number(limit) || 200));
+  const [rows] = await pool.query(
+    `SELECT id, user_message_json, created_at
+       FROM h5_agent_runs
+      WHERE agent_session_id = ?
+        AND user_id = ?
+        AND status = 'succeeded'
+      ORDER BY created_at DESC, id DESC
+      LIMIT ?`,
+    [sessionId, userId, resolvedLimit],
+  );
+  return [...rows].reverse();
+}
+
+export async function restoreConversationUserMessagesFromAgentRuns(pool, messages, sessionId, userId) {
+  const userMessageCount = Array.isArray(messages)
+    ? messages.filter((message) => message?.role === 'user').length
+    : 0;
+  if (userMessageCount === 0) return Array.isArray(messages) ? messages : [];
+  const rows = await loadSuccessfulAgentRunUserMessageRows(pool, sessionId, userId, {
+    limit: userMessageCount,
+  });
+  return restoreConversationUserMessagesFromAgentRunRows(messages, rows);
+}
+
+export async function restoreConversationUserMessagesFromAgentRunsFailOpen(
+  pool,
+  messages,
+  sessionId,
+  userId,
+  { logger = console } = {},
+) {
+  try {
+    return await restoreConversationUserMessagesFromAgentRuns(pool, messages, sessionId, userId);
+  } catch (err) {
+    logger?.warn?.(
+      '[memory-v2] original agent-run transcript unavailable; using visible session transcript:',
+      err instanceof Error ? err.message : err,
+    );
+    return Array.isArray(messages) ? messages : [];
+  }
+}
+
 export function countNonEmptyConversationMessages(messages) {
   if (!Array.isArray(messages)) return 0;
   return messages.filter((message) => {

conversation-repair.test.mjs

@@ -5,8 +5,12 @@ import {
   buildConversationFromDbRows,
   countNonEmptyConversationMessages,
   filterUserVisibleConversation,
+  parseAgentRunUserMessage,
   parseStoredConversationRow,
   repairConversationFromDbRows,
+  restoreConversationUserMessagesFromAgentRunRows,
+  restoreConversationUserMessagesFromAgentRuns,
+  restoreConversationUserMessagesFromAgentRunsFailOpen,
   shouldRepairConversationFromDb,
 } from './conversation-repair.mjs';
 
@@ -97,3 +101,78 @@ test('filterUserVisibleConversation keeps messages without explicit userVisible
   assert.equal(visible[0].role, 'user');
   assert.equal(visible[1].role, 'assistant');
 });
+
+test('parseAgentRunUserMessage keeps the original user text for memory extraction', () => {
+  const parsed = parseAgentRunUserMessage({
+    user_message_json: JSON.stringify({
+      role: 'user',
+      content: [{ type: 'text', text: '请记住灰度代号 MEM-NEW' }],
+      metadata: { userVisible: true },
+    }),
+  });
+  assert.equal(parsed.content[0].text, '请记住灰度代号 MEM-NEW');
+  assert.equal(parsed.metadata.memoryInputSource, 'agent-run-original');
+});
+
+test('restoreConversationUserMessagesFromAgentRunRows removes injected memory context', () => {
+  const messages = [
+    {
+      id: 'upstream-user-1',
+      role: 'user',
+      content: [{ type: 'text', text: '【Memind 任务编排】\n[Memory Context]\n- 旧记忆\n用户任务：\n请记住灰度代号 MEM-NEW' }],
+      metadata: { userVisible: true, agentVisible: true },
+    },
+    gooseMsg('assistant-1', 'assistant', '已记住'),
+  ];
+  const restored = restoreConversationUserMessagesFromAgentRunRows(messages, [{
+    user_message_json: JSON.stringify({
+      role: 'user',
+      content: [{ type: 'text', text: '请记住灰度代号 MEM-NEW' }],
+      metadata: { userVisible: true, agentVisible: true },
+    }),
+  }]);
+  assert.equal(restored[0].id, 'upstream-user-1');
+  assert.equal(restored[0].content[0].text, '请记住灰度代号 MEM-NEW');
+  assert.doesNotMatch(restored[0].content[0].text, /旧记忆|Memory Context/);
+  assert.equal(restored[1].content[0].text, '已记住');
+});
+
+test('restoreConversationUserMessagesFromAgentRuns scopes successful runs by session and user', async () => {
+  const calls = [];
+  const pool = {
+    async query(sql, params) {
+      calls.push({ sql, params });
+      return [[{
+        user_message_json: JSON.stringify({
+          role: 'user',
+          content: [{ type: 'text', text: '原始用户消息' }],
+        }),
+      }]];
+    },
+  };
+  const restored = await restoreConversationUserMessagesFromAgentRuns(
+    pool,
+    [gooseMsg('user-1', 'user', '编排后的消息')],
+    'session-1',
+    'user-1',
+  );
+  assert.match(calls[0].sql, /status = 'succeeded'/);
+  assert.match(calls[0].sql, /ORDER BY created_at DESC/);
+  assert.match(calls[0].sql, /LIMIT \?/);
+  assert.deepEqual(calls[0].params, ['session-1', 'user-1', 1]);
+  assert.equal(restored[0].content[0].text, '原始用户消息');
+});
+
+test('restoreConversationUserMessagesFromAgentRunsFailOpen preserves the visible transcript', async () => {
+  const warnings = [];
+  const messages = [gooseMsg('user-1', 'user', '可见会话原文')];
+  const restored = await restoreConversationUserMessagesFromAgentRunsFailOpen(
+    { async query() { throw new Error('agent run query unavailable'); } },
+    messages,
+    'session-1',
+    'user-1',
+    { logger: { warn: (...items) => warnings.push(items.join(' ')) } },
+  );
+  assert.equal(restored, messages);
+  assert.match(warnings[0], /agent run query unavailable/);
+});

docs/image-make-integration.md

@@ -116,6 +116,10 @@ IMAGE_MAKE_MEMIND_CONFIG_TOKEN=<与 Portal IMAGE_MAKE_TOKEN 相同的值>
 配置 `H5_WECHAT_MP_FRESH_PAGE_THUMBNAILS=0` 可只关闭服务号“页面必须新缩略图”硬门，作为紧急回滚；
 默认开启。该开关不会修改 H5 聊天图片策略。
 
+配置 `H5_WECHAT_MP_FRESH_THUMBNAIL_REPAIR=1` 可开启服务号缩略图确定性修复，默认关闭。修复仅在一个正式页面
+与一张本轮 hero 图片的映射唯一时，把本轮 `asset.htmlSrc` 写回 `mindspace-cover.cover` 并重新执行完整校验；
+多页、多图、缺少本轮新图或元数据无效时继续 fail closed。
+
 ## 发布前置条件
 
 Portal runtime 不包含独立 `image_make` 服务。正式启用前必须确保：

docs/incidents/2026-07-22-wechat-fresh-thumbnail-delivery.md

@@ -0,0 +1,27 @@
+# 2026-07-22 微信服务号页面缩略图交付失败
+
+## 现象
+
+微信服务号用户要求生成带主题图片的页面。页面和候选图片已经生成，但服务号最终回复“没有完成本轮新缩略图”，未发送页面链接，并要求用户重新描述完整需求。
+
+## 根因
+
+这是两个连续问题叠加后的结果：
+
+1. 首轮图片语义审核未达阈值后，Agent 更换提示词再次调用图片工具，却复用了同一个服务号页面缩略图幂等键。`image_make` 对同键不同请求返回冲突，后续被表现为图片服务不可用。
+2. 后续重试已经生成并落盘合格 hero 图，但页面交付校验在页面文件与本轮工具写入快照不同步时得到 `missing_generated_cover`，形成假阴性，没有使用唯一的本轮 hero 图恢复 `mindspace-cover.cover`。
+
+## 修复
+
+- 仅对 `wechat-<消息>-page-<序号>-thumbnail` 且 `purpose=hero` 的请求，把提示词摘要加入 `image_make` 幂等键；同提示词仍可幂等，不同提示词不会冲突。其它图片调用的幂等行为不变。
+- 明确要求 Agent 对同一正式页面只调用一次图片工具；语义重试由图片服务内部完成。
+- 增加默认关闭的 `H5_WECHAT_MP_FRESH_THUMBNAIL_REPAIR`。开启后，只有“一个正式页面 + 一张本轮 hero 图”且页面已有合法 `mindspace-cover` 元数据时，才原子写回 cover 并重新执行完整校验。任何多页、多图、缺图或无效元数据情况继续 fail closed。
+- 增加结构化失败诊断，记录校验原因、页面、cover 和本轮生成资产，不记录图片提示词或用户正文。
+- 失败文案不再要求重述完整需求；页面内容保留，用户可回复“重试上次页面”。
+- 页面生成提示增加禁止杜撰产品指标、客户数、SLA、认证、案例、排名和承诺的约束。
+
+## 影响边界与回滚
+
+- 正常页面生成、H5 聊天、非服务号图片、服务号普通聊天和多页/多图 fail-closed 行为不变。
+- 确定性修复默认关闭；生产验证后显式设置 `H5_WECHAT_MP_FRESH_THUMBNAIL_REPAIR=1` 才启用。
+- 如需回滚修复分支，只需将该变量设为 `0` 或移除；新缩略图硬门仍保持开启。

docs/regression-guards/memory-v2-candidate-and-lifecycle.md

@@ -13,6 +13,18 @@
 `updated_at=0` 游标开始做有限批次 backfill，新写入行可能长期排在批次之外。结果是
 `agent_memory_resolved` 显示已注入，但回答只拿到旧的无关记忆。
 
+首次修复同步后，灰度又发现 `remember-recent` 读取的是 Agent 编排后的会话文本，其中
+包含已注入的 `[Memory Context]`。提取器因此可能把旧记忆再次沉淀，而忽略用户本轮明确
+要求保存的内容，形成旧记忆自我复制。
+
+提取器返回 `{"memories":[]}` 时，旧逻辑仍会触发规则回退，可能把“……是什么”一类
+问句误存为事实。空数组必须视为成功的“无需保存”判断；只有提取不可用并返回 `null`
+时才允许规则回退。
+
+当前生产使用的本地 hash embedding 只有 3 维，且连续中文可能被视为单个 token。即使正确
+记忆已进入 pgvector，它也可能排在向量 Top-K 之外。因此 pgvector 读取必须合并有界的
+向量候选与最近候选，再以中文字符 n-gram 查询覆盖率重排；无词法重合时保持向量排序。
+
 ## 必须保留的行为
 
 1. `MEMORY_CANDIDATE_PERSISTENCE_ENABLED=1` 且 MySQL 可用时，Portal 必须先执行
@@ -28,11 +40,18 @@
 6. 用户记忆 `write/compact` 成功后，必须在返回前按 `userId + sessionId` 将本次活跃记忆
    幂等 upsert 到 pgvector；候选晋升成功后也必须按实际晋升用户同步。不得依赖从零开始
    的全局有限批次 backfill 来保证新记忆可立即召回。
+7. 显式记忆提取必须优先使用同一用户、同一会话中已成功 `h5_agent_runs.user_message_json`
+   保存的原始用户消息。不得把 Agent 编排提示或 `[Memory Context]` 当作用户的新记忆；
+   原始消息查询失败时必须 fail-open 到现有可见会话，不能阻塞保存接口。
+8. pgvector 召回必须同时覆盖有界向量候选和有界最近候选，去重后只返回请求的 limit；
+   中文词法重排用于弥补低维本地 hash 的排序缺陷，且候选池上限不得超过 100。
+9. LLM 提取明确返回空数组时不得再走规则回退；提取提示必须明确排除没有提供答案的
+   问题、请求、指令和待办，避免把问句本身沉淀为长期记忆。
 
 ## 回归检查
 
 ```bash
-node --test memory-v2-personal-store.test.mjs memory-v2-lifecycle.test.mjs \
+node --test conversation-memory.test.mjs conversation-repair.test.mjs memory-v2-personal-store.test.mjs memory-v2-lifecycle.test.mjs \
   memory-v2-pgvector-backfill.test.mjs memory-v2-runtime.test.mjs
 npm test
 ```

memory-v2-pgvector.mjs

@@ -24,6 +24,43 @@ function vectorLiteral(embedding) {
   return `[${embedding.join(',')}]`;
 }
 
+function normalizeSearchText(value) {
+  return String(value ?? '')
+    .normalize('NFKC')
+    .toLowerCase()
+    .replace(/[^a-z0-9\u4e00-\u9fff]+/gu, '');
+}
+
+function buildCharacterNgrams(value, size = 2) {
+  const text = normalizeSearchText(value);
+  if (!text) return new Set();
+  if (text.length <= size) return new Set([text]);
+  const grams = new Set();
+  for (let index = 0; index <= text.length - size; index += 1) {
+    grams.add(text.slice(index, index + size));
+  }
+  return grams;
+}
+
+function lexicalQueryCoverage(query, text) {
+  const queryGrams = buildCharacterNgrams(query);
+  if (queryGrams.size === 0) return 0;
+  const textGrams = buildCharacterNgrams(text);
+  let overlap = 0;
+  for (const gram of queryGrams) {
+    if (textGrams.has(gram)) overlap += 1;
+  }
+  return overlap / queryGrams.size;
+}
+
+function timestampValue(value) {
+  if (value == null) return 0;
+  const numeric = Number(value);
+  if (Number.isFinite(numeric)) return numeric;
+  const parsed = Date.parse(String(value));
+  return Number.isFinite(parsed) ? parsed : 0;
+}
+
 function normalizeRow(row) {
   const text = String(row?.content ?? row?.memory_text ?? row?.text ?? '').trim();
   if (!text) return null;
@@ -33,9 +70,38 @@ function normalizeRow(row) {
     text,
     score: row?.score == null ? null : Number(row.score),
     createdAt: row?.created_at ?? row?.createdAt ?? null,
+    updatedAt: row?.updated_at ?? row?.updatedAt ?? row?.created_at ?? row?.createdAt ?? null,
   };
 }
 
+function rankHybridCandidates(rows, query, limit) {
+  const byId = new Map();
+  for (const row of rows ?? []) {
+    const memory = normalizeRow(row);
+    if (!memory) continue;
+    const key = memory.id ?? `${memory.label}:${memory.text}`;
+    if (!byId.has(key)) byId.set(key, memory);
+  }
+  return [...byId.values()]
+    .map((memory) => ({
+      memory,
+      lexicalScore: lexicalQueryCoverage(query, memory.text),
+      vectorScore: Number.isFinite(memory.score) ? memory.score : -1,
+      updatedAt: timestampValue(memory.updatedAt),
+    }))
+    .sort((left, right) => {
+      if (left.lexicalScore !== right.lexicalScore) {
+        return right.lexicalScore - left.lexicalScore;
+      }
+      if (left.lexicalScore > 0 && left.updatedAt !== right.updatedAt) {
+        return right.updatedAt - left.updatedAt;
+      }
+      return right.vectorScore - left.vectorScore;
+    })
+    .slice(0, limit)
+    .map(({ memory }) => memory);
+}
+
 export function createPgvectorMemoryBackend({
   pool = null,
   enabled = false,
@@ -75,15 +141,38 @@ export function createPgvectorMemoryBackend({
       const embedding = await resolveEmbedding(input);
       if (!embedding) return { memories: [], semanticMemories: [] };
       const limit = Math.max(1, Math.min(50, Number(input.limit ?? defaultLimit) || defaultLimit));
+      const candidateLimit = Math.max(
+        limit,
+        Math.min(100, Number(input.candidateLimit ?? 50) || 50),
+      );
       const sql = `
-        SELECT id, content, type, created_at, 1 - (embedding <=> $2::vector) AS score
-        FROM ${resolvedTableName}
-        WHERE user_id = $1
-        ORDER BY embedding <=> $2::vector
-        LIMIT $3
+        WITH vector_candidates AS (
+          SELECT id, content, type, created_at, updated_at,
+                 1 - (embedding <=> $2::vector) AS score,
+                 0 AS source_priority
+          FROM ${resolvedTableName}
+          WHERE user_id = $1
+          ORDER BY embedding <=> $2::vector
+          LIMIT $3
+        ), recent_candidates AS (
+          SELECT id, content, type, created_at, updated_at,
+                 1 - (embedding <=> $2::vector) AS score,
+                 1 AS source_priority
+          FROM ${resolvedTableName}
+          WHERE user_id = $1
+          ORDER BY updated_at DESC
+          LIMIT $3
+        )
+        SELECT DISTINCT ON (id) id, content, type, created_at, updated_at, score
+        FROM (
+          SELECT * FROM vector_candidates
+          UNION ALL
+          SELECT * FROM recent_candidates
+        ) AS candidates
+        ORDER BY id, source_priority
       `;
-      const result = await pool.query(sql, [userId, vectorLiteral(embedding), limit]);
-      const memories = (result?.rows ?? []).map((row) => normalizeRow(row)).filter(Boolean);
+      const result = await pool.query(sql, [userId, vectorLiteral(embedding), candidateLimit]);
+      const memories = rankHybridCandidates(result?.rows ?? [], input.query, limit);
       return {
         semanticMemories: memories.map((item) => item.text),
         memories,
@@ -91,3 +180,8 @@ export function createPgvectorMemoryBackend({
     },
   };
 }
+
+export const pgvectorMemoryBackendInternals = {
+  lexicalQueryCoverage,
+  rankHybridCandidates,
+};

memory-v2-pgvector.test.mjs

@@ -1,7 +1,10 @@
 import assert from 'node:assert/strict';
 import test from 'node:test';
 import { createMemoryV2 } from './memory-v2.mjs';
-import { createPgvectorMemoryBackend } from './memory-v2-pgvector.mjs';
+import {
+  createPgvectorMemoryBackend,
+  pgvectorMemoryBackendInternals,
+} from './memory-v2-pgvector.mjs';
 
 test('pgvector backend is disabled by default and does not query storage', async () => {
   let queried = false;
@@ -85,7 +88,9 @@ test('pgvector backend performs parameterized vector lookup when explicitly enab
 
   assert.equal(queries.length, 1);
   assert.match(queries[0].sql, /FROM memory_embeddings/);
-  assert.deepEqual(queries[0].params, ['user-1', '[0.25,0.5,0.75]', 5]);
+  assert.match(queries[0].sql, /WITH vector_candidates/);
+  assert.match(queries[0].sql, /recent_candidates/);
+  assert.deepEqual(queries[0].params, ['user-1', '[0.25,0.5,0.75]', 50]);
   assert.deepEqual(result.semanticMemories, ['用户关注 Memory V2 的 facade 边界']);
   assert.deepEqual(result.memories, [
     {
@@ -94,10 +99,68 @@ test('pgvector backend performs parameterized vector lookup when explicitly enab
       text: '用户关注 Memory V2 的 facade 边界',
       score: 0.87,
       createdAt: '2026-07-02T00:00:00.000Z',
+      updatedAt: '2026-07-02T00:00:00.000Z',
     },
   ]);
 });
 
+test('pgvector hybrid ranking recovers a recent Chinese memory missed by vector top-k', async () => {
+  const marker = 'MEM-RECALL-NEW';
+  const backend = createPgvectorMemoryBackend({
+    enabled: true,
+    pool: {
+      async query() {
+        return {
+          rows: [
+            {
+              id: 1,
+              content: '用户以前关注贵州旅游攻略',
+              type: 'interest',
+              score: 0.91,
+              created_at: '2026-06-01T00:00:00.000Z',
+              updated_at: '2026-06-01T00:00:00.000Z',
+            },
+            {
+              id: 2,
+              content: `用户的记忆召回灰度测试代号是 ${marker}`,
+              type: 'fact',
+              score: -0.49,
+              created_at: '2026-07-22T00:00:00.000Z',
+              updated_at: '2026-07-22T00:00:00.000Z',
+            },
+            {
+              id: 3,
+              content: '用户偏好简洁回答',
+              type: 'preference',
+              score: 0.3,
+              created_at: '2026-07-21T00:00:00.000Z',
+              updated_at: '2026-07-21T00:00:00.000Z',
+            },
+          ],
+        };
+      },
+    },
+    embedQuery: async () => [0.25, 0.5, 0.75],
+  });
+
+  const result = await backend.resolve({
+    userId: 'user-1',
+    query: '我之前让你记住的记忆召回灰度测试代号是什么？请只回答完整代号。',
+    limit: 3,
+  });
+
+  assert.match(result.memories[0].text, new RegExp(marker));
+});
+
+test('pgvector hybrid ranking keeps vector order when query has no lexical overlap', () => {
+  const ranked = pgvectorMemoryBackendInternals.rankHybridCandidates([
+    { id: 1, content: 'alpha', score: 0.2 },
+    { id: 2, content: 'beta', score: 0.8 },
+  ], '完全无关的中文查询', 2);
+  assert.equal(ranked[0].id, '2');
+  assert.equal(ranked[1].id, '1');
+});
+
 test('pgvector backend validates table names before building SQL', () => {
   assert.throws(
     () => createPgvectorMemoryBackend({ tableName: 'memory_embeddings;DROP TABLE users' }),

memory-v2-runtime.test.mjs

@@ -385,7 +385,8 @@ test('createMemoryV2Runtime selects pgvector only when pool and embedding are co
   assert.equal(queries.length, 1);
   assert.equal(queries[0].options.connectionString, 'postgresql://local/memory');
   assert.equal(queries[0].options.max, 2);
-  assert.deepEqual(queries[0].params, ['u1', '[0.1,0.2,0.3]', 8]);
+  assert.match(queries[0].sql, /recent_candidates/);
+  assert.deepEqual(queries[0].params, ['u1', '[0.1,0.2,0.3]', 50]);
 
   await memory.close();
   assert.equal(poolEnded, true);

mindspace-image-generation.mjs

@@ -13,6 +13,29 @@ function htmlSrcForWorkspaceAsset(workspaceRelativePath) {
   return normalized.slice('public/'.length) || null;
 }
 
+const IMAGE_MAKE_IDEMPOTENCY_KEY_MAX_LENGTH = 128;
+const WECHAT_PAGE_THUMBNAIL_KEY_PATTERN = /^wechat-[a-zA-Z0-9._-]+-page-\d+-thumbnail$/;
+
+function boundedIdempotencyKey(base, suffix = '') {
+  const normalizedBase = String(base ?? '').trim();
+  const normalizedSuffix = String(suffix ?? '');
+  return `${normalizedBase.slice(0, Math.max(0, IMAGE_MAKE_IDEMPOTENCY_KEY_MAX_LENGTH - normalizedSuffix.length))}${normalizedSuffix}`;
+}
+
+function resolveImageMakeIdempotencyKey({ idempotencyKey, purpose, prompt, negativePrompt }) {
+  const normalized = String(idempotencyKey ?? '').trim();
+  if (!normalized) return `imgreq_${crypto.randomUUID()}`;
+  if (purpose !== 'hero' || !WECHAT_PAGE_THUMBNAIL_KEY_PATTERN.test(normalized)) {
+    return normalized;
+  }
+  const promptHash = crypto
+    .createHash('sha256')
+    .update([purpose, String(prompt ?? '').trim(), String(negativePrompt ?? '').trim()].join('\0'))
+    .digest('hex')
+    .slice(0, 12);
+  return boundedIdempotencyKey(normalized, `-p-${promptHash}`);
+}
+
 function resolvePurposeDimensions(spec, env, logger) {
   const widthKey = `IMAGE_MAKE_${spec.envPrefix}_WIDTH`;
   const heightKey = `IMAGE_MAKE_${spec.envPrefix}_HEIGHT`;
@@ -65,7 +88,12 @@ export function createMindSpaceImageGenerationService({
       const maxAttempts = Number.isFinite(configuredAttempts)
         ? Math.max(1, Math.min(3, Math.floor(configuredAttempts)))
         : 3;
-      const baseIdempotencyKey = idempotencyKey || `imgreq_${crypto.randomUUID()}`;
+      const baseIdempotencyKey = resolveImageMakeIdempotencyKey({
+        idempotencyKey,
+        purpose,
+        prompt,
+        negativePrompt,
+      });
       let generated = null;
       let acceptedReview = null;
       let retryFeedback = '';
@@ -76,7 +104,7 @@ export function createMindSpaceImageGenerationService({
           : prompt;
         const attemptKey = attempt === 1
           ? baseIdempotencyKey
-          : `${baseIdempotencyKey.slice(0, 160)}-review-${attempt}`;
+          : boundedIdempotencyKey(baseIdempotencyKey, `-review-${attempt}`);
         generated = await imageMakeClient.generateImage({
           prompt: attemptPrompt,
           negativePrompt,

mindspace-image-generation.test.mjs

@@ -214,6 +214,55 @@ test('MindSpace image generation retries a semantic mismatch and stores only a r
   assert.match(generatedRequests[1].prompt, /缺失元素：竹海/);
 });
 
+test('WeChat page thumbnail idempotency follows the prompt while other keys stay stable', async () => {
+  const generatedRequests = [];
+  let assetCount = 0;
+  const service = createMindSpaceImageGenerationService({
+    configService: { async resolveImageGenerationPurpose() { return { ok: true, presetId: 'hero' }; } },
+    assetService: {
+      async createChatAsset() {
+        assetCount += 1;
+        return {
+          id: `asset-${assetCount}`,
+          workspaceRelativePath: `public/images/hero-${assetCount}.webp`,
+        };
+      },
+    },
+    imageMakeClient: {
+      async generateImage(input) {
+        generatedRequests.push(input);
+        return {
+          jobId: `job-${generatedRequests.length}`,
+          buffer: Buffer.from(`image-${generatedRequests.length}`),
+          mimeType: 'image/webp', sha256: 'abc', width: 768, height: 432,
+        };
+      },
+      async acknowledge() {},
+    },
+    imageReviewService: passingReviewService(),
+  });
+
+  const input = {
+    userId: 'user-1',
+    purpose: 'hero',
+    prompt: 'TKMind 舌战群儒，突出安全与落地',
+    idempotencyKey: 'wechat-25550597627048917-page-1-thumbnail',
+  };
+  await service.generate(input);
+  await service.generate(input);
+  await service.generate({ ...input, prompt: 'TKMind 舌战群儒，突出场景与思维进化' });
+  await service.generate({ ...input, idempotencyKey: 'ordinary-request', prompt: '普通图片' });
+
+  assert.equal(generatedRequests[0].idempotencyKey, generatedRequests[1].idempotencyKey);
+  assert.notEqual(generatedRequests[1].idempotencyKey, generatedRequests[2].idempotencyKey);
+  assert.match(
+    generatedRequests[0].idempotencyKey,
+    /^wechat-25550597627048917-page-1-thumbnail-p-[a-f0-9]{12}$/,
+  );
+  assert.ok(generatedRequests[0].idempotencyKey.length <= 128);
+  assert.equal(generatedRequests[3].idempotencyKey, 'ordinary-request');
+});
+
 test('MindSpace image generation blocks storage after all semantic review attempts fail', async () => {
   let generateCount = 0;
   let storeCount = 0;

server.mjs

@@ -199,7 +199,11 @@ import { createFeedbackService } from './user-feedback.mjs';
 import { startScheduleReminderWorker } from './schedule-reminder-worker.mjs';
 import { createLlmProviderService, RELAY_BOOTSTRAP } from './llm-providers.mjs';
 import { createDirectChatService, isDirectChatSessionId, isPortalDirectChatSnapshot, sendDirectChatSessionEvents, shouldExpirePortalDirectChatSnapshot } from './direct-chat-service.mjs';
-import { filterUserVisibleConversation, repairSessionConversationFromDb } from './conversation-repair.mjs';
+import {
+  filterUserVisibleConversation,
+  repairSessionConversationFromDb,
+  restoreConversationUserMessagesFromAgentRunsFailOpen,
+} from './conversation-repair.mjs';
 import { filterNonemptyUserVisibleMessages } from './conversation-transcript-persist.mjs';
 import { createSessionStreamStore } from './session-stream-store.mjs';
 import { isSessionStreamReplayEnabled } from './session-stream.mjs';
@@ -2275,7 +2279,14 @@ async function loadUserVisibleConversation(sessionId, userId) {
   if (authPool && userId) {
     session = await repairSessionConversationFromDb(authPool, session, sessionId, userId);
   }
-  return filterUserVisibleConversation(session?.conversation ?? []);
+  const visible = filterUserVisibleConversation(session?.conversation ?? []);
+  if (!authPool || !userId) return visible;
+  return restoreConversationUserMessagesFromAgentRunsFailOpen(
+    authPool,
+    visible,
+    sessionId,
+    userId,
+  );
 }
 
 async function syncUserMemoriesIntoSession(userId, sessionId) {

wechat-mp-config.mjs

@@ -88,6 +88,7 @@ export function loadWechatMpConfig(env = process.env) {
     acceptLink: env.H5_WECHAT_MP_ACCEPT_LINK !== '0',
     mediaAnalysisGrayUsers: parseCsvList(env.H5_WECHAT_MP_MEDIA_GRAY_USERS),
     requireFreshPageThumbnail: env.H5_WECHAT_MP_FRESH_PAGE_THUMBNAILS !== '0',
+    repairFreshPageThumbnail: env.H5_WECHAT_MP_FRESH_THUMBNAIL_REPAIR === '1',
     encodingAesKey: env.H5_WECHAT_MP_ENCODING_AES_KEY?.trim() ?? '',
   };
 }

wechat-mp.mjs

@@ -6,7 +6,11 @@ import { developerToolsFromPolicy } from './capabilities.mjs';
 import { mergeMessageContent } from './message-stream.mjs';
 import { reconcileAgentSession } from './session-reconcile.mjs';
 import { resolveSessionAccess } from './session-broker.mjs';
-import { isStubPublicHtmlContent, materializeMissingPublicHtmlWrites } from './mindspace-public-finish-sync.mjs';
+import {
+  extractPublicHtmlWriteArtifacts,
+  isStubPublicHtmlContent,
+  materializeMissingPublicHtmlWrites,
+} from './mindspace-public-finish-sync.mjs';
 import { loadWechatMpConfig } from './wechat-mp-config.mjs';
 import { buildPublicUrl, PUBLISH_ROOT_DIR } from './user-publish.mjs';
 import {
@@ -41,6 +45,8 @@ import {
 import { selectSendableHtmlArtifacts } from './wechat/verify/page-artifact.mjs';
 import {
   collectWechatGeneratedImages,
+  repairUnambiguousFreshWechatPageThumbnail,
+  summarizeFreshWechatThumbnailVerification,
   verifyFreshWechatPageThumbnails,
 } from './wechat/verify/generated-thumbnail.mjs';
 import { resolveBillingTokenState } from './billing-token-state.mjs';
@@ -1513,6 +1519,7 @@ export function createWechatMpService({
     };
   }
   const requireFreshPageThumbnail = config.requireFreshPageThumbnail === true;
+  const repairFreshPageThumbnail = config.repairFreshPageThumbnail === true;
   config = {
     ...loadWechatMpConfig({}),
     ...config,
@@ -1531,6 +1538,7 @@ export function createWechatMpService({
       ? config.mediaAnalysisGrayUsers
       : [],
     requireFreshPageThumbnail,
+    repairFreshPageThumbnail,
     asrTarget: config.asrTarget || DEFAULT_ASR_TARGET,
   };
 
@@ -1845,7 +1853,38 @@ export function createWechatMpService({
   }) => {
     if (imagePolicy?.pageThumbnailMode !== WECHAT_PAGE_THUMBNAIL_MODE.REQUIRED_FRESH) return;
     const images = collectWechatGeneratedImages(reply?.messages ?? []);
-    const verification = verifyFreshWechatPageThumbnails(artifacts, images);
+    let verification = verifyFreshWechatPageThumbnails(artifacts, images);
+    if (!verification.ok) {
+      logger.warn?.(
+        'WeChat MP fresh thumbnail verification failed:',
+        summarizeFreshWechatThumbnailVerification(verification, images),
+      );
+      if (config.repairFreshPageThumbnail) {
+        const repair = repairUnambiguousFreshWechatPageThumbnail({
+          artifacts,
+          images,
+          currentRunHtmlArtifacts: extractPublicHtmlWriteArtifacts(reply?.messages ?? [], {
+            publishDir,
+          }),
+          verificationReason: verification.reason,
+        });
+        if (repair.ok) {
+          verification = verifyFreshWechatPageThumbnails(artifacts, images);
+          logger.info?.('WeChat MP fresh thumbnail repaired:', {
+            relativePath: String(repair.artifact?.relativePath ?? ''),
+            jobId: String(repair.image?.jobId ?? ''),
+            cover: repair.cover,
+            verified: verification.ok,
+          });
+        } else {
+          logger.warn?.('WeChat MP fresh thumbnail repair skipped:', {
+            reason: repair.reason,
+            artifactCount: repair.artifactCount,
+            imageCount: repair.imageCount,
+          });
+        }
+      }
+    }
     if (verification.ok) {
       try {
         for (const match of verification.matches) {
@@ -1857,8 +1896,11 @@ export function createWechatMpService({
         }
         return;
       } catch (error) {
-        verification.ok = false;
-        verification.reason = `thumbnail_render_failed:${error instanceof Error ? error.message : String(error)}`;
+        verification = {
+          ...verification,
+          ok: false,
+          reason: `thumbnail_render_failed:${error instanceof Error ? error.message : String(error)}`,
+        };
       }
     }
     const text = buildPagePublishFailureText({ missingFreshThumbnail: true });

wechat-mp.test.mjs

@@ -864,11 +864,13 @@ test('loadWechatMpConfig requires full config and enable flag', () => {
   assert.equal(config.enabled, true);
   assert.equal(config.bindPath, '/auth/wechat/authorize?intent=login');
   assert.equal(config.requireFreshPageThumbnail, true);
+  assert.equal(config.repairFreshPageThumbnail, false);
   assert.deepEqual(config.generatedImagePublicBaseUrls, [
     'https://example.com',
     'https://img.example.com',
   ]);
   assert.equal(loadWechatMpConfig({ H5_WECHAT_MP_FRESH_PAGE_THUMBNAILS: '0' }).requireFreshPageThumbnail, false);
+  assert.equal(loadWechatMpConfig({ H5_WECHAT_MP_FRESH_THUMBNAIL_REPAIR: '1' }).repairFreshPageThumbnail, true);
 });
 
 test('verifyWechatMpSignature accepts valid signature', () => {
@@ -4949,7 +4951,7 @@ test('wechat mp service exposes route status and can recreate route for bound us
   assert.equal(calls.includes('upserted'), true);
 });
 
-test('wechat mp page delivery requires and verifies a current-run fresh thumbnail', async () => {
+test('wechat mp page delivery repairs one unambiguous fresh thumbnail missing from disk metadata', async () => {
   const token = 'token';
   const timestamp = '1710000000';
   const nonce = 'nonce';
@@ -4958,6 +4960,7 @@ test('wechat mp page delivery requires and verifies a current-run fresh thumbnai
   const wechatPayloads = [];
   const generated = {
     ok: true,
+    purpose: 'hero',
     jobId: 'job-fresh-page',
     source: { mimeType: 'image/webp', width: 1280, height: 720 },
     asset: {
@@ -4967,18 +4970,13 @@ test('wechat mp page delivery requires and verifies a current-run fresh thumbnai
       workspaceRelativePath: 'public/images/fresh-page.webp',
     },
   };
-  const pageHtml = previewReadyPageHtml({
-    title: 'Fresh',
-    subtitle: '本轮新缩略图',
-    cover: generated.asset.htmlSrc,
-  });
   const pageImage = await sharp({
     create: { width: 64, height: 64, channels: 3, background: '#3366cc' },
   }).webp().toBuffer();
   const eventFrame = (event) => `data: ${JSON.stringify(event)}\n\n`;
   const service = createBoundWechatService({
     token,
-    config: { requireFreshPageThumbnail: true },
+    config: { requireFreshPageThumbnail: true, repairFreshPageThumbnail: true },
     userAuth: {
       async resolveWorkingDir() {
         return workspaceRoot;
@@ -5031,16 +5029,6 @@ test('wechat mp page delivery requires and verifies a current-run fresh thumbnai
                       value: { content: [{ type: 'text', text: JSON.stringify(generated) }] },
                     },
                   },
-                  {
-                    id: 'call-write-page',
-                    type: 'toolRequest',
-                    toolCall: {
-                      value: {
-                        name: 'sandbox-fs__write_file',
-                        arguments: { path: 'public/fresh.html', content: pageHtml },
-                      },
-                    },
-                  },
                 ],
               },
             }),
@@ -5073,10 +5061,12 @@ test('wechat mp page delivery requires and verifies a current-run fresh thumbnai
         assert.equal(body.user_message.metadata.memindRun.inlineImageMode, 'auto');
         assert.match(body.user_message.content[0].text, /服务号页面新缩略图硬要求/);
         assert.match(body.user_message.content[0].text, /本轮新生成资产/);
+        assert.match(body.user_message.content[0].text, /禁止编造用户未提供的产品指标/);
+        assert.match(body.user_message.content[0].text, /Agent 层只调用一次 generate_image/);
         fs.mkdirSync(path.dirname(htmlPath), { recursive: true });
         fs.writeFileSync(
           htmlPath,
-          pageHtml,
+          previewReadyPageHtml({ title: 'Fresh', subtitle: '交付前磁盘副本' }),
           'utf8',
         );
         fs.mkdirSync(path.join(workspaceRoot, 'public', 'images'), { recursive: true });
@@ -5116,6 +5106,10 @@ test('wechat mp page delivery requires and verifies a current-run fresh thumbnai
     assert.equal(result.status, 200);
     await result.task;
     assert.equal(fs.existsSync(path.join(workspaceRoot, 'public', 'fresh.thumbnail.svg')), true);
+    assert.match(
+      fs.readFileSync(htmlPath, 'utf8'),
+      /"cover":"images\/fresh-page\.webp"/,
+    );
   } finally {
     crypto.randomUUID = originalRandomUuid;
     fs.rmSync(workspaceRoot, { recursive: true, force: true });

wechat/image-generation-policy.mjs

@@ -86,6 +86,7 @@ export function buildWechatPageImageInstruction(policy, { sourceMessageId = '' }
     '【服务号页面新缩略图硬要求】每个本轮交付给用户的正式内容页面都必须使用本轮新生成、与主题一致的位图作为缩略图源图。',
     '写 HTML 前先调用 `load_skill` → `image-generation`，再为每个正式内容页面各调用一次 `sandbox-fs__generate_image`，优先 purpose=`hero`。',
     `幂等键使用 ${keyPrefix}-<页面序号>-thumbnail；不同正式页面不得共用同一张图。`,
+    '同一正式页面在 Agent 层只调用一次 generate_image；工具内部会完成语义重试。返回失败后禁止自行更换提示词并重复调用，交由服务号交付层统一重试。',
     '生成成功后，把返回的 asset.htmlSrc 原样写入对应页面的 mindspace-cover.cover。页面需要主视觉时复用同一张图作为 Hero，禁止再调用 card_cover/feed_cover。',
     '管理后台、密码查看、重定向、下载包装和错误辅助页不属于正式内容页面，不要求单独生图；这类页面必须在 head 写 `<meta name="mindspace-page-role" content="auxiliary">` 供交付守卫识别。',
     inlineInstruction,

wechat/image-generation-policy.test.mjs

@@ -7,6 +7,10 @@ import {
   WECHAT_PAGE_THUMBNAIL_MODE,
 } from './image-generation-policy.mjs';
 import { classifyWechatIntent } from './intent/classifier.mjs';
+import {
+  buildPageGenerateAgentPrompt,
+  buildPagePublishFailureText,
+} from './prompts/page-generate.mjs';
 
 test('service-account page always requires a fresh thumbnail without forcing body images', () => {
   const policy = resolveWechatImageGenerationPolicy({
@@ -18,7 +22,11 @@ test('service-account page always requires a fresh thumbnail without forcing bod
   assert.equal(policy.imageGenerationMode, 'required');
   assert.equal(policy.inlineImageMode, 'auto');
   assert.equal(policy.standaloneImageMode, 'auto');
-  assert.match(buildWechatPageImageInstruction(policy), /每个本轮交付给用户的正式内容页面/);
+  const instruction = buildWechatPageImageInstruction(policy);
+  assert.match(instruction, /每个本轮交付给用户的正式内容页面/);
+  assert.match(instruction, /Agent 层只调用一次 generate_image/);
+  assert.match(instruction, /工具内部会完成语义重试/);
+  assert.match(instruction, /禁止自行更换提示词并重复调用/);
 });
 
 test('no-image page request disables body images but keeps required fresh thumbnail', () => {
@@ -62,3 +70,20 @@ test('explicitly declining a page keeps standalone image generation out of page
   assert.equal(policy.pageThumbnailMode, 'auto');
   assert.equal(policy.standaloneImageMode, 'required');
 });
+
+test('page generation prompt forbids unsupported commercial and security claims', () => {
+  const prompt = buildPageGenerateAgentPrompt({
+    agentText: '生成 TKMind 舌战群儒页面',
+    msgId: 'message-1',
+  });
+  assert.match(prompt, /禁止编造用户未提供的产品指标、客户数量、SLA、认证、案例、排名或承诺/);
+  assert.match(prompt, /不得杜撰数字/);
+});
+
+test('missing-thumbnail copy preserves the page and does not ask for the full requirement again', () => {
+  const text = buildPagePublishFailureText({ missingFreshThumbnail: true });
+  assert.match(text, /页面内容已经保留/);
+  assert.match(text, /重试上次页面/);
+  assert.match(text, /无需重新描述完整需求/);
+  assert.doesNotMatch(text, /重发一次完整页面需求/);
+});

wechat/prompts/page-generate.mjs

@@ -41,6 +41,7 @@ export function buildPageGenerateAgentPrompt(intent, { wantsDocx = false, imageP
     '6. 交付前运行 `npm run check:mindspace-cover`（或 node scripts/check-mindspace-cover.mjs --user <uid>）；有 error 则补元数据后再回复链接。',
     '7. 页脚加 `<p data-mindspace-page-tag="platform-brand">TKMind · 智趣</p>`（必须；禁止省略、不要用邮箱/tkmind.ai，也不要把该行 opacity 设太低导致看不见）。',
     '8. 回复里只给一个正式域名的唯一正确链接；没有落盘或缺少上述元数据就不要发链接。',
+    '9. 禁止编造用户未提供的产品指标、客户数量、SLA、认证、案例、排名或承诺；没有可靠依据时使用定性描述，不得杜撰数字。',
     '',
     buildCurrentTimeAgentPrefix({ timezone: scheduleTimezone }),
     `用户需求：${topic}`,
@@ -57,7 +58,7 @@ export function buildPagePublishFailureText({
   if (missingFreshThumbnail) {
     return [
       '这次页面内容已生成，但没有完成服务号要求的本轮新缩略图，所以我先不发页面链接。',
-      '请直接重发一次完整页面需求，我会重新生成主题匹配的新缩略图并完成页面交付。',
+      '页面内容已经保留。请稍后回复“重试上次页面”，无需重新描述完整需求。',
     ].join('\n');
   }
   if (missingPlatformBrand) {

wechat/verify/generated-thumbnail.mjs

@@ -1,5 +1,10 @@
+import crypto from 'node:crypto';
 import fs from 'node:fs';
 import path from 'node:path';
+import {
+  parseMindspaceCoverMeta,
+  upsertMindspaceCoverMeta,
+} from '../../mindspace-cover-meta.mjs';
 
 const RASTER_MIME_PATTERN = /^image\/(?:png|jpeg|webp)$/i;
 
@@ -29,6 +34,7 @@ function normalizeGeneratedImage(result) {
   if (!htmlSrc && !publicUrl && !workspaceRelativePath) return null;
   return {
     jobId: String(result.jobId),
+    purpose: String(result.purpose ?? '').trim() || null,
     mimeType,
     assetId: String(asset.id ?? '').trim() || null,
     htmlSrc: htmlSrc || null,
@@ -141,6 +147,7 @@ export function verifyFreshWechatPageThumbnails(artifacts = [], images = []) {
         ok: false,
         reason: cover ? 'cover_not_from_current_run' : 'missing_generated_cover',
         artifact,
+        cover: cover || null,
         matches,
         skippedArtifacts,
       };
@@ -150,3 +157,103 @@ export function verifyFreshWechatPageThumbnails(artifacts = [], images = []) {
   }
   return { ok: true, reason: null, matches, skippedArtifacts };
 }
+
+function uniqueArtifactsByLocalPath(artifacts = []) {
+  const unique = new Map();
+  for (const artifact of artifacts) {
+    const localPath = String(artifact?.localPath ?? '').trim();
+    if (localPath) unique.set(localPath, artifact);
+  }
+  return [...unique.values()];
+}
+
+function atomicWriteHtml(localPath, content) {
+  const tempPath = path.join(
+    path.dirname(localPath),
+    `.${path.basename(localPath)}.wechat-thumbnail-${process.pid}-${crypto.randomUUID()}.tmp`,
+  );
+  try {
+    fs.writeFileSync(tempPath, content, 'utf8');
+    fs.renameSync(tempPath, localPath);
+  } finally {
+    try {
+      if (fs.existsSync(tempPath)) fs.unlinkSync(tempPath);
+    } catch {
+      // Best-effort cleanup only; the destination write already decided the result.
+    }
+  }
+}
+
+export function repairUnambiguousFreshWechatPageThumbnail({
+  artifacts = [],
+  images = [],
+  currentRunHtmlArtifacts = [],
+  verificationReason = '',
+} = {}) {
+  if (!['missing_generated_cover', 'cover_not_from_current_run'].includes(verificationReason)) {
+    return { ok: false, reason: 'verification_not_repairable' };
+  }
+  const eligibleArtifacts = uniqueArtifactsByLocalPath(
+    artifacts.filter((artifact) => !isWechatAuxiliaryPageArtifact(artifact)),
+  );
+  const pageImages = images.filter((image) => image?.purpose === 'hero' || !image?.purpose);
+  if (eligibleArtifacts.length !== 1 || pageImages.length !== 1) {
+    return {
+      ok: false,
+      reason: 'ambiguous_page_image_mapping',
+      artifactCount: eligibleArtifacts.length,
+      imageCount: pageImages.length,
+    };
+  }
+
+  const artifact = eligibleArtifacts[0];
+  const image = pageImages[0];
+  const cover = String(image?.htmlSrc ?? '').trim();
+  const localPath = String(artifact?.localPath ?? '').trim();
+  if (!cover || !localPath || !fs.existsSync(localPath)) {
+    return { ok: false, reason: 'repair_source_unavailable', artifact, image };
+  }
+
+  const normalizedRelativePath = String(artifact.relativePath ?? '').trim().replace(/\\/g, '/');
+  const currentRunArtifact = currentRunHtmlArtifacts.find(
+    (candidate) => String(candidate?.relativePath ?? '').trim().replace(/\\/g, '/') === normalizedRelativePath,
+  );
+  const sourceHtml = typeof currentRunArtifact?.content === 'string'
+    ? currentRunArtifact.content
+    : fs.readFileSync(localPath, 'utf8');
+  const coverMeta = parseMindspaceCoverMeta(sourceHtml);
+  if (!coverMeta) {
+    return { ok: false, reason: 'valid_cover_meta_required', artifact, image };
+  }
+
+  const repairedHtml = upsertMindspaceCoverMeta(sourceHtml, { cover });
+  atomicWriteHtml(localPath, repairedHtml);
+  return {
+    ok: true,
+    reason: null,
+    artifact,
+    image,
+    cover,
+    restoredCurrentRunHtml: Boolean(currentRunArtifact),
+  };
+}
+
+export function summarizeFreshWechatThumbnailVerification(verification, images = []) {
+  return {
+    reason: String(verification?.reason ?? 'unknown'),
+    artifact: verification?.artifact
+      ? {
+          relativePath: String(verification.artifact.relativePath ?? ''),
+          localPath: path.basename(String(verification.artifact.localPath ?? '')),
+        }
+      : null,
+    cover: String(verification?.cover ?? ''),
+    matches: Array.isArray(verification?.matches) ? verification.matches.length : 0,
+    images: images.map((image) => ({
+      jobId: String(image?.jobId ?? ''),
+      purpose: String(image?.purpose ?? ''),
+      htmlSrc: String(image?.htmlSrc ?? ''),
+      workspaceRelativePath: String(image?.workspaceRelativePath ?? ''),
+    })),
+  };
+}

wechat/verify/generated-thumbnail.test.mjs

@@ -6,12 +6,14 @@ import test from 'node:test';
 import {
   collectWechatGeneratedImages,
   extractMindspaceCoverPath,
+  repairUnambiguousFreshWechatPageThumbnail,
   verifyFreshWechatPageThumbnails,
 } from './generated-thumbnail.mjs';
 
 function generatedImageMessages({ jobId = 'job-1', htmlSrc = 'images/fresh.webp' } = {}) {
   const result = {
     ok: true,
+    purpose: 'hero',
     jobId,
     source: { mimeType: 'image/webp' },
     asset: {
@@ -115,3 +117,60 @@ test('auxiliary admin pages do not require a separate generated thumbnail', () =
     fs.rmSync(root, { recursive: true, force: true });
   }
 });
+
+test('one current-run hero repairs one page from the current write snapshot and re-verifies', () => {
+  const root = fs.mkdtempSync(path.join(os.tmpdir(), 'wechat-repair-cover-'));
+  try {
+    const htmlPath = path.join(root, 'page.html');
+    const diskHtml = '<html><head><meta name="mindspace-cover" content=\'{"tag":"页面","subtitle":"磁盘旧副本"}\'></head><body>disk copy</body></html>';
+    const currentRunHtml = '<html><head><meta name="mindspace-cover" content=\'{"tag":"页面","subtitle":"本轮副本"}\'></head><body>current run copy</body></html>';
+    fs.writeFileSync(htmlPath, diskHtml, 'utf8');
+    const artifacts = [{ localPath: htmlPath, relativePath: 'public/page.html' }];
+    const images = collectWechatGeneratedImages(generatedImageMessages());
+
+    const failed = verifyFreshWechatPageThumbnails(artifacts, images);
+    assert.equal(failed.reason, 'missing_generated_cover');
+    const repaired = repairUnambiguousFreshWechatPageThumbnail({
+      artifacts,
+      images,
+      currentRunHtmlArtifacts: [{ relativePath: 'public/page.html', content: currentRunHtml }],
+      verificationReason: failed.reason,
+    });
+
+    assert.equal(repaired.ok, true);
+    assert.equal(repaired.restoredCurrentRunHtml, true);
+    const written = fs.readFileSync(htmlPath, 'utf8');
+    assert.match(written, /current run copy/);
+    assert.doesNotMatch(written, /disk copy/);
+    assert.equal(extractMindspaceCoverPath(written), 'images/fresh.webp');
+    assert.equal(verifyFreshWechatPageThumbnails(artifacts, images).ok, true);
+  } finally {
+    fs.rmSync(root, { recursive: true, force: true });
+  }
+});
+
+test('thumbnail repair refuses an ambiguous page-to-image mapping without changing the page', () => {
+  const root = fs.mkdtempSync(path.join(os.tmpdir(), 'wechat-ambiguous-repair-'));
+  try {
+    const htmlPath = path.join(root, 'page.html');
+    const original = '<meta name="mindspace-cover" content=\'{"tag":"页面"}\'>';
+    fs.writeFileSync(htmlPath, original, 'utf8');
+    const artifacts = [{ localPath: htmlPath, relativePath: 'public/page.html' }];
+    const images = collectWechatGeneratedImages([
+      ...generatedImageMessages({ jobId: 'job-1', htmlSrc: 'images/one.webp' }),
+      ...generatedImageMessages({ jobId: 'job-2', htmlSrc: 'images/two.webp' }),
+    ]);
+
+    const repaired = repairUnambiguousFreshWechatPageThumbnail({
+      artifacts,
+      images,
+      verificationReason: 'missing_generated_cover',
+    });
+
+    assert.equal(repaired.ok, false);
+    assert.equal(repaired.reason, 'ambiguous_page_image_mapping');
+    assert.equal(fs.readFileSync(htmlPath, 'utf8'), original);
+  } finally {
+    fs.rmSync(root, { recursive: true, force: true });
+  }
+});