Simplify message trace panels

panel.js

@@ -2720,10 +2720,6 @@ function _renderMessageTraceWorkspace(state) {
   return `
     <div class="bme-task-tab-body">
       <div class="bme-task-toolbar-row">
-        <div class="bme-task-note">
-          这里看的是最近一轮真实运行留下的痕迹，不是静态配置推演。你关心的两个问题会直接拆开：
-          “最后注入给主 AI 的记忆文本” 和 “最后送去提取模型的实际请求”。
-        </div>
         <span class="bme-task-pill">${_escHtml(_formatTaskProfileTime(updatedAt))}</span>
       </div>
 
@@ -2747,10 +2743,11 @@ function _renderMessageTraceRecallCard(state) {
     : [];
   const triggeredUserMessage =
     _extractTriggeredUserMessageFromRecentMessages(recentMessages) ||
-    _findMarkdownSectionContent(
-      _getLastDebugMessageContent(recallLlmRequest?.messages, "user"),
-      ["用户最新输入"],
-    );
+    _getLastDebugMessageContent(recallLlmRequest?.messages, "user");
+  const hostPayloadText = _buildMainAiTraceText(
+    triggeredUserMessage,
+    injectionSnapshot?.injectionText || "",
+  );
 
   if (!injectionSnapshot) {
     return `
@@ -2765,50 +2762,24 @@ function _renderMessageTraceRecallCard(state) {
     <div class="bme-config-card-head">
       <div>
         <div class="bme-config-card-title">最后注入给主 AI 的内容</div>
-        <div class="bme-config-card-subtitle">
-          这里展示的不是候选记忆，而是这一轮真正拼进主模型上下文的记忆文本。
-        </div>
       </div>
       <span class="bme-task-pill">${_escHtml(_formatTaskProfileTime(injectionSnapshot.updatedAt))}</span>
     </div>
-    <div class="bme-debug-kv-list">
-      <div class="bme-debug-kv-item">
-        <span class="bme-debug-kv-key">触发来源</span>
-        <span class="bme-debug-kv-value">${_escHtml(injectionSnapshot.sourceLabel || injectionSnapshot.source || "—")}</span>
-      </div>
-      <div class="bme-debug-kv-item">
-        <span class="bme-debug-kv-key">触发钩子</span>
-        <span class="bme-debug-kv-value">${_escHtml(injectionSnapshot.hookName || "—")}</span>
-      </div>
-      <div class="bme-debug-kv-item">
-        <span class="bme-debug-kv-key">触发用户输入</span>
-        <span class="bme-debug-kv-value">${_escHtml(triggeredUserMessage || "—")}</span>
-      </div>
-      <div class="bme-debug-kv-item">
-        <span class="bme-debug-kv-key">选中记忆数</span>
-        <span class="bme-debug-kv-value">${_escHtml(String(injectionSnapshot.selectedNodeIds?.length ?? 0))}</span>
-      </div>
-    </div>
     ${_renderMessageTraceTextBlock(
-      "最终注入文本",
-      injectionSnapshot.injectionText || "",
-      "这次没有生成可注入的记忆文本。",
+      "发送给主 AI 的内容",
+      hostPayloadText,
+      "这次没有捕获到主 AI 侧的注入内容。",
     )}
-    ${_renderDebugDetails(
-      "召回参考上下文",
-      recentMessages.length ? recentMessages.join("\n") : "",
-    )}
-    ${_renderDebugDetails(
-      "召回精排实际消息序列",
-      _stringifyTraceMessages(recallLlmRequest?.messages),
-    )}
-    ${_renderDebugDetails("原始注入快照", injectionSnapshot)}
   `;
 }
 
 function _renderMessageTraceExtractCard(state) {
   const extractLlmRequest = state.extractLlmRequest || null;
   const extractPromptBuild = state.extractPromptBuild || null;
+  const extractPayloadText = _buildTraceMessagePayloadText(
+    extractLlmRequest?.messages,
+    extractPromptBuild,
+  );
 
   if (!extractLlmRequest && !extractPromptBuild) {
     return `
@@ -2819,56 +2790,20 @@ function _renderMessageTraceExtractCard(state) {
     `;
   }
 
-  const systemPrompt =
-    _getLastDebugMessageContent(extractLlmRequest?.messages, "system") ||
-    extractPromptBuild?.systemPrompt ||
-    "";
-  const userPrompt = _getLastDebugMessageContent(extractLlmRequest?.messages, "user");
-  const dialogueText =
-    _findMarkdownSectionContent(userPrompt, ["当前对话内容"]) || userPrompt;
-
   return `
     <div class="bme-config-card-head">
       <div>
         <div class="bme-config-card-title">最后送去提取模型的内容</div>
-        <div class="bme-config-card-subtitle">
-          这里看的是自动提取真正下发给记忆模型的请求，不只是任务预设模板。
-        </div>
       </div>
       <span class="bme-task-pill">${_escHtml(
         _formatTaskProfileTime(extractLlmRequest?.updatedAt || extractPromptBuild?.updatedAt),
       )}</span>
     </div>
-    <div class="bme-debug-kv-list">
-      <div class="bme-debug-kv-item">
-        <span class="bme-debug-kv-key">预设</span>
-        <span class="bme-debug-kv-value">${_escHtml(extractPromptBuild?.profileName || extractPromptBuild?.profileId || "—")}</span>
-      </div>
-      <div class="bme-debug-kv-item">
-        <span class="bme-debug-kv-key">模型路由</span>
-        <span class="bme-debug-kv-value">${_escHtml(extractLlmRequest?.effectiveRoute?.llm || extractLlmRequest?.route || "—")}</span>
-      </div>
-      <div class="bme-debug-kv-item">
-        <span class="bme-debug-kv-key">模型</span>
-        <span class="bme-debug-kv-value">${_escHtml(extractLlmRequest?.model || "—")}</span>
-      </div>
-      <div class="bme-debug-kv-item">
-        <span class="bme-debug-kv-key">消息条数</span>
-        <span class="bme-debug-kv-value">${_escHtml(String(_normalizeDebugMessages(extractLlmRequest?.messages).length))}</span>
-      </div>
-    </div>
     ${_renderMessageTraceTextBlock(
-      "送去提取的对话正文",
-      dialogueText,
-      "这次没有捕获到提取用户提示词。",
+      "发送去提取模型的内容",
+      extractPayloadText,
+      "这次没有捕获到提取请求内容。",
     )}
-    ${_renderDebugDetails("提取系统提示词（兼容视图）", systemPrompt)}
-    ${_renderDebugDetails("提取用户提示词（完整）", userPrompt)}
-    ${_renderDebugDetails(
-      "提取实际消息序列",
-      _stringifyTraceMessages(extractLlmRequest?.messages),
-    )}
-    ${_renderDebugDetails("提取 Prompt 组装快照", extractPromptBuild)}
   `;
 }
 
@@ -2916,11 +2851,49 @@ function _stringifyTraceMessages(messages = []) {
 
   return normalizedMessages
     .map(
-      (message, index) => `[${index + 1}] ${message.role}\n${message.content}`,
+      (message) => `【${message.role}】\n${message.content}`,
     )
     .join("\n\n---\n\n");
 }
 
+function _buildMainAiTraceText(triggeredUserMessage = "", injectionText = "") {
+  const sections = [];
+  const normalizedUserMessage = String(triggeredUserMessage || "").trim();
+  const normalizedInjectionText = String(injectionText || "").trim();
+
+  if (normalizedUserMessage) {
+    sections.push(`【user】\n${normalizedUserMessage}`);
+  }
+  if (normalizedInjectionText) {
+    sections.push(`【memory injection】\n${normalizedInjectionText}`);
+  }
+
+  return sections.join("\n\n---\n\n").trim();
+}
+
+function _buildTraceMessagePayloadText(messages = [], promptBuild = null) {
+  const normalizedMessages = _normalizeDebugMessages(messages);
+  if (normalizedMessages.length) {
+    return _stringifyTraceMessages(normalizedMessages);
+  }
+
+  const fallbackMessages = [];
+  const fallbackSystemPrompt = String(promptBuild?.systemPrompt || "").trim();
+  if (fallbackSystemPrompt) {
+    fallbackMessages.push({ role: "system", content: fallbackSystemPrompt });
+  }
+
+  for (const message of promptBuild?.privateTaskMessages || []) {
+    if (!message || typeof message !== "object") continue;
+    const role = String(message.role || "").trim().toLowerCase();
+    const content = String(message.content || "").trim();
+    if (!role || !content) continue;
+    fallbackMessages.push({ role, content });
+  }
+
+  return _stringifyTraceMessages(fallbackMessages);
+}
+
 function _extractTriggeredUserMessageFromRecentMessages(recentMessages = []) {
   if (!Array.isArray(recentMessages)) return "";
 
@@ -2934,55 +2907,6 @@ function _extractTriggeredUserMessageFromRecentMessages(recentMessages = []) {
   return "";
 }
 
-function _extractMarkdownSections(text = "") {
-  const normalized = String(text || "");
-  if (!normalized.trim()) return [];
-
-  const headingRegex = /^#{1,6}\s*(.+?)\s*$/gm;
-  const sections = [];
-  let currentTitle = "";
-  let bodyStart = 0;
-  let match = headingRegex.exec(normalized);
-
-  while (match) {
-    if (currentTitle) {
-      sections.push({
-        title: currentTitle,
-        content: normalized.slice(bodyStart, match.index).trim(),
-      });
-    }
-    currentTitle = String(match[1] || "").trim();
-    bodyStart = headingRegex.lastIndex;
-    match = headingRegex.exec(normalized);
-  }
-
-  if (currentTitle) {
-    sections.push({
-      title: currentTitle,
-      content: normalized.slice(bodyStart).trim(),
-    });
-  }
-
-  return sections;
-}
-
-function _findMarkdownSectionContent(text = "", titleHints = []) {
-  const hints = Array.isArray(titleHints)
-    ? titleHints.map((item) => String(item || "").trim()).filter(Boolean)
-    : [];
-  if (!hints.length) return "";
-
-  const sections = _extractMarkdownSections(text);
-  for (const section of sections) {
-    const title = String(section?.title || "");
-    if (hints.some((hint) => title.includes(hint))) {
-      return String(section?.content || "").trim();
-    }
-  }
-
-  return "";
-}
-
 function _patchTaskProfiles(taskProfiles, extraPatch = {}, options = {}) {
   return _patchSettings(
     {