Show retrieved knowledge chunks in audit logs
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@@ -1463,6 +1463,21 @@ function buildChatQuery() {
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</el-tab-pane>
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<el-tab-pane label="AI 请求" name="aiLogs">
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<el-table :data="aiLogs" stripe>
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<el-table-column type="expand" width="48">
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<template #default="{ row }">
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<section v-if="row.retrievedChunks?.length" class="retrieval-chunks">
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<article v-for="chunk in row.retrievedChunks" :key="`${row.id}-${chunk.index}`" class="retrieval-chunk">
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<div class="chunk-head">
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<strong>#{{ chunk.index }} {{ chunk.knowledgeName || '未知知识库' }}</strong>
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<span>{{ chunk.title || '未命名片段' }}</span>
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</div>
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<pre>{{ chunk.content }}</pre>
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<a v-if="chunk.sourceUrl" :href="chunk.sourceUrl" target="_blank" rel="noreferrer">查看来源</a>
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</article>
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</section>
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<el-empty v-else description="本条请求未保存召回片段" :image-size="64" />
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</template>
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</el-table-column>
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<el-table-column prop="sessionId" label="会话ID" width="90" />
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<el-table-column prop="modelName" label="模型" width="160" />
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<el-table-column prop="knowledgeIds" label="知识库" width="120" />
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@@ -1528,6 +1543,17 @@ function buildChatQuery() {
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<span>耗时:{{ log.costMs || '-' }}ms</span>
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<span>时间:{{ log.createdAt }}</span>
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</div>
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<section v-if="log.retrievedChunks?.length" class="retrieval-chunks">
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<article v-for="chunk in log.retrievedChunks" :key="`${log.id}-${chunk.index}`" class="retrieval-chunk">
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<div class="chunk-head">
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<strong>#{{ chunk.index }} {{ chunk.knowledgeName || '未知知识库' }}</strong>
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<span>{{ chunk.title || '未命名片段' }}</span>
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</div>
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<pre>{{ chunk.content }}</pre>
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<a v-if="chunk.sourceUrl" :href="chunk.sourceUrl" target="_blank" rel="noreferrer">查看来源</a>
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</article>
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</section>
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<el-empty v-else description="本条请求未保存召回片段" :image-size="64" />
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<pre class="prompt-preview">{{ log.prompt || '无 Prompt 记录' }}</pre>
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<p v-if="log.errorMessage" class="error-text">{{ log.errorMessage }}</p>
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</el-collapse-item>
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@@ -712,6 +712,58 @@ textarea {
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font-size: 13px;
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}
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.retrieval-chunks {
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display: grid;
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gap: 12px;
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margin: 12px 0;
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}
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.retrieval-chunk {
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padding: 12px;
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border: 1px solid #dce8e4;
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border-radius: 6px;
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background: #fbfdfc;
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}
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.chunk-head {
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display: flex;
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flex-wrap: wrap;
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gap: 8px 12px;
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align-items: baseline;
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margin-bottom: 8px;
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color: #203832;
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}
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.chunk-head strong {
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color: #0f735d;
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}
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.chunk-head span {
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color: #60746d;
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font-size: 13px;
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}
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.retrieval-chunk pre {
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max-height: 260px;
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margin: 0;
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padding: 10px;
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overflow: auto;
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border-radius: 6px;
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background: #f4f7f6;
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color: #263832;
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white-space: pre-wrap;
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word-break: break-word;
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font-family: "SFMono-Regular", Consolas, "PingFang SC", monospace;
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line-height: 1.65;
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}
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.retrieval-chunk a {
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display: inline-flex;
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margin-top: 8px;
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color: #0f735d;
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text-decoration: none;
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}
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.error-text {
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color: #b42318;
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}
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@@ -133,6 +133,7 @@ export interface AiLogRecord {
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modelName?: string | null;
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knowledgeIds?: string | null;
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retrieveCount: number;
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retrievedChunks: RetrievedKnowledgeChunk[];
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inputToken?: number | null;
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outputToken?: number | null;
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totalToken?: number | null;
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@@ -143,6 +144,15 @@ export interface AiLogRecord {
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createdAt: string;
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}
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export interface RetrievedKnowledgeChunk {
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index: number;
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knowledgeId?: number | null;
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knowledgeName: string;
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title: string;
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content: string;
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sourceUrl?: string | null;
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}
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export interface ChatDetail {
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session: ChatRecord;
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messages: ChatMessageRecord[];
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