feat(admin)：日志面板增加 prompt 详情 + 模型调用参数

展开日志详情后新增：
- Prompt 区域：System Prompt（蓝色背景）和 User Message（灰色背景）完整显示
- 调用参数：temperature、max_tokens 等
- 耗时：独立显示

修改：
- LogEntry 新增 messages? 和 params? 字段
- ai.ts 两个 handler 在日志中记录构造后的 messages 和调用参数
- 面板 toggleDetail 渲染 messages/params 区域

src/admin/routes.ts

@@ -132,9 +132,38 @@ async function toggleDetail(id, el) {
   loadedDetails[id] = true;
   const reqStr = JSON.stringify(log.requestBody ?? {}, null, 2);
   const respStr = typeof log.responseBody === 'string' ? log.responseBody : JSON.stringify(log.responseBody ?? {}, null, 2);
-  let html = '<div class="side">';
+  const paramsStr = log.params ? JSON.stringify(log.params, null, 2) : null;
-  html += '<div><h4>📤 请求体 ('+escapeHtml(log.endpoint)+')</h4><pre>'+escapeHtml(reqStr)+'</pre></div>';
+  const errorHtml = log.error ? '<span style="color:#c62828">'+escapeHtml(log.error)+'</span><br><br>' : '';
-  html += '<div><h4>📥 响应体</h4><pre>'+(log.error ? '<span style="color:#c62828">'+escapeHtml(log.error)+'</span><br><br>' : '')+escapeHtml(respStr)+'</pre></div>';
+
+  // 渲染 prompt messages：system 蓝色背景，user 灰色
+  const renderMessages = (msgs) => {
+    if (!msgs || msgs.length === 0) return '';
+    return msgs.map((m,i) => {
+      const label = m.role === 'system' ? '🤖 System Prompt' : '👤 User Message';
+      const bg = m.role === 'system' ? '#e3f2fd' : '#f5f5f5';
+      const border = m.role === 'system' ? '#90caf9' : '#e0e0e0';
+      return '<div style="margin-bottom:8px">'+
+        '<span style="font-size:11px;font-weight:600;color:'+(m.role==='system'?'#1565c0':'#616161')+'">'+label+'</span>'+
+        '<pre style="background:'+bg+';border-color:'+border+';max-height:160px">'+escapeHtml(m.content)+'</pre>'+
+        '</div>';
+    }).join('');
+  };
+
+  let html = '';
+  // prompt 区域（如果有）
+  if (log.messages && log.messages.length > 0) {
+    html += '<div style="margin-bottom:12px"><h4>'+(log.messages.filter(m=>m.role==='system').length>0?'🧠':'')+' Prompt</h4>'+renderMessages(log.messages)+'</div>';
+  }
+  // 参数 + 请求/响应
+  html += '<div class="side" style="margin-bottom:12px">';
+  if (paramsStr) {
+    html += '<div><h4>⚙️ 调用参数</h4><pre style="background:#fff3e0;border-color:#ffe0b2;font-size:12px">'+escapeHtml(paramsStr)+'</pre></div>';
+  }
+  html += '<div><h4>⏱️ 耗时</h4><pre style="font-size:12px">'+log.durationMs+'ms</pre></div>';
+  html += '</div>';
+  html += '<div class="side">';
+  html += '<div><h4>📤 原始请求体</h4><pre>'+escapeHtml(reqStr)+'</pre></div>';
+  html += '<div><h4>📥 响应体</h4><pre>'+errorHtml+escapeHtml(respStr)+'</pre></div>';
   html += '</div>';
   row.querySelector('.detail-card').innerHTML = html;
 }

src/admin/store.ts

@@ -16,7 +16,9 @@ export interface LogEntry {
   model: string;
   durationMs: number;
   status: number;           // HTTP status code
-  requestBody: unknown;
+  requestBody: unknown;     // Java 端发来的原始请求体
+  messages?: unknown[];     // 构造后发给 LLM 的 messages（含 system prompt）
+  params?: Record<string, unknown>; // 模型调用参数（temperature、max_tokens 等）
   responseBody: unknown;
   error?: string;
 }

src/routes/ai.ts

@@ -35,12 +35,14 @@ export async function aiRoutes(app: FastifyInstance): Promise<void> {
   app.post<{ Body: AggregateReportBody }>("/ai/aggregate-report", async (request, reply) => {
     const { taskName, fragments, expectation } = request.body ?? ({} as AggregateReportBody);
     const t0 = Date.now();
+    const params = { temperature: 0.3, max_tokens: 2048 };
 
     if (!taskName || !Array.isArray(fragments) || fragments.length === 0) {
       logStore.add({
         timestamp: new Date().toISOString(), endpoint: "/ai/aggregate-report",
         model: config.model, durationMs: Date.now() - t0, status: 400,
-        requestBody: request.body ?? {}, responseBody: { error: "taskName 与 fragments 不可为空" },
+        requestBody: request.body ?? {}, params,
+        responseBody: { error: "taskName 与 fragments 不可为空" },
       });
       return reply.status(400).send({ error: "taskName 与 fragments 不可为空" });
     }
@@ -52,7 +54,7 @@ export async function aiRoutes(app: FastifyInstance): Promise<void> {
       logStore.add({
         timestamp: new Date().toISOString(), endpoint: "/ai/aggregate-report",
         model: config.model, durationMs: Date.now() - t0, status: 200,
-        requestBody: request.body ?? {}, responseBody: resp,
+        requestBody: request.body ?? {}, messages, params, responseBody: resp,
       });
       return resp;
     } catch (err) {
@@ -61,7 +63,7 @@ export async function aiRoutes(app: FastifyInstance): Promise<void> {
       logStore.add({
         timestamp: new Date().toISOString(), endpoint: "/ai/aggregate-report",
         model: config.model, durationMs: Date.now() - t0, status,
-        requestBody: request.body ?? {}, responseBody: {}, error: errMsg,
+        requestBody: request.body ?? {}, params, responseBody: {}, error: errMsg,
       });
       if (err instanceof LlmError) {
         return reply.status(err.statusCode).send({ error: err.message });
@@ -77,12 +79,14 @@ export async function aiRoutes(app: FastifyInstance): Promise<void> {
     const { taskName, taskDescription, reports, fragments } =
       request.body ?? ({} as GenerateMindMapBody);
     const t0 = Date.now();
+    const params = { temperature: 0.3, max_tokens: 4096 };
 
     if (!taskName || ((reports?.length ?? 0) === 0 && (fragments?.length ?? 0) === 0)) {
       logStore.add({
         timestamp: new Date().toISOString(), endpoint: "/ai/generate-mind-map",
         model: config.model, durationMs: Date.now() - t0, status: 400,
-        requestBody: request.body ?? {}, responseBody: { error: "taskName 不可为空且 reports/fragments 至少一项非空" },
+        requestBody: request.body ?? {}, params,
+        responseBody: { error: "taskName 不可为空且 reports/fragments 至少一项非空" },
       });
       return reply.status(400).send({ error: "taskName 不可为空且 reports/fragments 至少一项非空" });
     }
@@ -99,7 +103,7 @@ export async function aiRoutes(app: FastifyInstance): Promise<void> {
       logStore.add({
         timestamp: new Date().toISOString(), endpoint: "/ai/generate-mind-map",
         model: config.model, durationMs: Date.now() - t0, status: 200,
-        requestBody: request.body ?? {}, responseBody: resp,
+        requestBody: request.body ?? {}, messages, params, responseBody: resp,
       });
       return resp;
     } catch (err) {
@@ -108,7 +112,7 @@ export async function aiRoutes(app: FastifyInstance): Promise<void> {
       logStore.add({
         timestamp: new Date().toISOString(), endpoint: "/ai/generate-mind-map",
         model: config.model, durationMs: Date.now() - t0, status,
-        requestBody: request.body ?? {}, responseBody: {}, error: errMsg,
+        requestBody: request.body ?? {}, params, responseBody: {}, error: errMsg,
       });
       if (err instanceof LlmError) {
         return reply.status(err.statusCode).send({ error: err.message });