Add AI request audit detail drawer

ai_knowledge_base_v2/apps/admin-web/src/App.vue

@@ -34,6 +34,8 @@ const operationLogs = ref<Record<string, unknown>[]>([]);
 const promptContent = ref("");
 const chatDetail = ref<ChatDetail | null>(null);
 const chatDetailOpen = ref(false);
+const selectedAiLog = ref<AiLogRecord | null>(null);
+const aiLogDetailOpen = ref(false);
 const recordTab = ref("chats");
 const editingModelId = ref<number | null>(null);
 const editingKnowledgeId = ref<number | null>(null);
@@ -960,6 +962,11 @@ async function openChatDetail(row: ChatRecord) {
   chatDetailOpen.value = true;
 }
 
+async function openAiLogDetail(row: AiLogRecord) {
+  selectedAiLog.value = await api.aiLogDetail(row.id);
+  aiLogDetailOpen.value = true;
+}
+
 async function exportChats() {
   await api.exportChats(buildChatQuery());
 }
@@ -1463,29 +1470,24 @@ function buildChatQuery() {
             </el-tab-pane>
             <el-tab-pane label="AI 请求" name="aiLogs">
               <el-table :data="aiLogs" stripe>
-                <el-table-column type="expand" width="48">
-                  <template #default="{ row }">
-                    <section v-if="row.retrievedChunks?.length" class="retrieval-chunks">
-                      <article v-for="chunk in row.retrievedChunks" :key="`${row.id}-${chunk.index}`" class="retrieval-chunk">
-                        <div class="chunk-head">
-                          <strong>#{{ chunk.index }} {{ chunk.knowledgeName || '未知知识库' }}</strong>
-                          <span>{{ chunk.title || '未命名片段' }}</span>
-                        </div>
-                        <pre>{{ chunk.content }}</pre>
-                        <a v-if="chunk.sourceUrl" :href="chunk.sourceUrl" target="_blank" rel="noreferrer">查看来源</a>
-                      </article>
-                    </section>
-                    <el-empty v-else description="本条请求未保存召回片段" :image-size="64" />
-                  </template>
-                </el-table-column>
                 <el-table-column prop="sessionId" label="会话ID" width="90" />
                 <el-table-column prop="modelName" label="模型" width="160" />
                 <el-table-column prop="knowledgeIds" label="知识库" width="120" />
                 <el-table-column prop="retrieveCount" label="命中" width="80" />
+                <el-table-column label="片段" width="80">
+                  <template #default="{ row }">
+                    {{ row.retrievedChunks?.length || 0 }}
+                  </template>
+                </el-table-column>
                 <el-table-column prop="totalToken" label="Token" width="90" />
                 <el-table-column prop="costMs" label="耗时(ms)" width="100" />
                 <el-table-column prop="status" label="状态" width="100" />
                 <el-table-column prop="errorMessage" label="错误" min-width="220" show-overflow-tooltip />
+                <el-table-column label="操作" width="100" fixed="right">
+                  <template #default="{ row }">
+                    <el-button size="small" @click="openAiLogDetail(row)">详情</el-button>
+                  </template>
+                </el-table-column>
               </el-table>
             </el-tab-pane>
             <el-tab-pane label="操作日志" name="operationLogs">
@@ -1560,5 +1562,53 @@ function buildChatQuery() {
         </el-collapse>
       </template>
     </el-drawer>
+
+    <el-drawer v-model="aiLogDetailOpen" size="820px" title="AI 请求详情">
+      <template v-if="selectedAiLog">
+        <section class="chat-summary">
+          <div><span>请求ID</span><strong>{{ selectedAiLog.id }}</strong></div>
+          <div><span>会话ID</span><strong>{{ selectedAiLog.sessionId || '-' }}</strong></div>
+          <div><span>消息ID</span><strong>{{ selectedAiLog.messageId || '-' }}</strong></div>
+          <div><span>用户ID</span><strong>{{ selectedAiLog.userId || '-' }}</strong></div>
+          <div><span>模型</span><strong>{{ selectedAiLog.modelName || '-' }}</strong></div>
+          <div><span>状态</span><strong>{{ selectedAiLog.status }}</strong></div>
+        </section>
+
+        <section class="audit-detail-grid">
+          <span>知识库：{{ selectedAiLog.knowledgeIds || '-' }}</span>
+          <span>命中数：{{ selectedAiLog.retrieveCount }}</span>
+          <span>片段数：{{ selectedAiLog.retrievedChunks?.length || 0 }}</span>
+          <span>输入 Token：{{ selectedAiLog.inputToken || '-' }}</span>
+          <span>输出 Token：{{ selectedAiLog.outputToken || '-' }}</span>
+          <span>总 Token：{{ selectedAiLog.totalToken || '-' }}</span>
+          <span>耗时：{{ selectedAiLog.costMs || '-' }}ms</span>
+          <span>时间：{{ selectedAiLog.createdAt }}</span>
+        </section>
+
+        <p v-if="selectedAiLog.errorMessage" class="error-text">{{ selectedAiLog.errorMessage }}</p>
+
+        <h3 class="detail-title">召回知识片段</h3>
+        <section v-if="selectedAiLog.retrievedChunks?.length" class="retrieval-chunks">
+          <article
+            v-for="chunk in selectedAiLog.retrievedChunks"
+            :key="`${selectedAiLog.id}-${chunk.index}`"
+            class="retrieval-chunk"
+          >
+            <div class="chunk-head">
+              <strong>片段 {{ chunk.index }}/{{ selectedAiLog.retrievedChunks.length }}</strong>
+              <span>{{ chunk.knowledgeName || '未知知识库' }}</span>
+              <span v-if="chunk.knowledgeId">知识库ID：{{ chunk.knowledgeId }}</span>
+            </div>
+            <div class="chunk-title">{{ chunk.title || '未命名片段' }}</div>
+            <pre>{{ chunk.content }}</pre>
+            <a v-if="chunk.sourceUrl" :href="chunk.sourceUrl" target="_blank" rel="noreferrer">查看来源</a>
+          </article>
+        </section>
+        <el-empty v-else description="本条请求未保存召回片段" :image-size="72" />
+
+        <h3 class="detail-title">完整 Prompt</h3>
+        <pre class="prompt-preview">{{ selectedAiLog.prompt || '无 Prompt 记录' }}</pre>
+      </template>
+    </el-drawer>
   </main>
 </template>

ai_knowledge_base_v2/apps/admin-web/src/services/api.ts

@@ -139,6 +139,7 @@ export const api = {
   exportChats: (query: ChatRecordQuery = {}) => download(`/admin/chat/export${queryString(query)}`, "chat_records.csv"),
   aiLogs: (query: { sessionId?: number; userId?: number; status?: string } = {}) =>
     request<AiLogRecord[]>(`/admin/ai-log/list${queryString(query)}`),
+  aiLogDetail: (id: number) => request<AiLogRecord>(`/admin/ai-log/${id}`),
   operationLogs: () => request<Record<string, unknown>[]>("/admin/log/list"),
   clearFeishuCache: () =>
     request<{ cleared: number; message: string }>("/admin/feishu/cache/clear", { method: "POST", body: "{}" }),

ai_knowledge_base_v2/apps/admin-web/src/styles.css

@@ -712,6 +712,19 @@ textarea {
   font-size: 13px;
 }
 
+.audit-detail-grid {
+  display: grid;
+  grid-template-columns: repeat(4, minmax(0, 1fr));
+  gap: 10px 14px;
+  margin: 14px 0;
+  padding: 12px;
+  border: 1px solid #dce8e4;
+  border-radius: 6px;
+  background: #fbfdfc;
+  color: #40524b;
+  font-size: 13px;
+}
+
 .retrieval-chunks {
   display: grid;
   gap: 12px;
@@ -743,6 +756,13 @@ textarea {
   font-size: 13px;
 }
 
+.chunk-title {
+  margin-bottom: 8px;
+  color: #203832;
+  font-weight: 600;
+  line-height: 1.5;
+}
+
 .retrieval-chunk pre {
   max-height: 260px;
   margin: 0;
@@ -775,6 +795,10 @@ textarea {
     grid-template-columns: 1fr;
   }
 
+  .audit-detail-grid {
+    grid-template-columns: repeat(2, minmax(0, 1fr));
+  }
+
   .agent-preview-panel {
     height: 620px;
   }

ai_knowledge_base_v2/apps/backend/app/api/admin_records.py

@@ -6,7 +6,7 @@ from datetime import datetime
 from io import StringIO
 from typing import Any
 
-from fastapi import APIRouter, Depends, Query
+from fastapi import APIRouter, Depends, HTTPException, Query, status
 from fastapi.responses import Response
 from sqlalchemy import exists, or_, select
 from sqlalchemy.orm import Session
@@ -160,6 +160,18 @@ def ai_logs(
     return api_success([_ai_log_dict(item) for item in logs])
 
 
+@router.get("/ai-log/{log_id}")
+def ai_log_detail(
+    log_id: int,
+    db: Session = Depends(get_db),
+    current_admin: Admin = Depends(get_current_admin),
+) -> dict:
+    log = db.get(AiRequestLog, log_id)
+    if log is None:
+        raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="AI 请求日志不存在")
+    return api_success(_ai_log_dict(log, include_prompt=True))
+
+
 def _chat_query(
     *,
     keyword: str,