fix: harden AI analysis provider responses

modules/ai/server/knowledge.ts

@@ -125,8 +125,12 @@ async function buildKnowledgeChunks(input: KnowledgeEntryInput): Promise<Service
   }
 
   const chunks = chunkKnowledgeText(input);
-  const vectors = await embeddingsResult.embeddings.embedDocuments(chunks);
-  return { success: true, data: { chunks, vectors } };
+  try {
+    const vectors = await embeddingsResult.embeddings.embedDocuments(chunks);
+    return { success: true, data: { chunks, vectors } };
+  } catch {
+    return { success: false, reason: "知识库向量生成失败", status: 500 };
+  }
 }
 
 export async function listKnowledgeEntries(context: AuthContext): Promise<KnowledgeEntry[]> {
@@ -214,15 +218,15 @@ async function updateEntryWithChunks(
     const rows = await transaction
       .update(aiKnowledgeEntries)
       .set({
-      scope: input.scope,
-      organizationId,
-      title: input.title,
-      category: input.category,
-      tags: input.tags,
-      body: input.body,
-      status: input.status,
-      updatedByAccountId: context.account.id,
-      updatedAt: new Date(),
+        scope: input.scope,
+        organizationId,
+        title: input.title,
+        category: input.category,
+        tags: input.tags,
+        body: input.body,
+        status: input.status,
+        updatedByAccountId: context.account.id,
+        updatedAt: new Date(),
       })
       .where(eq(aiKnowledgeEntries.id, id))
       .returning();
@@ -322,7 +326,8 @@ export async function retrieveKnowledge(
     return { success: false, reason: embeddingsResult.reason, status: 500 };
   }
 
-  const [embedding] = await embeddingsResult.embeddings.embedDocuments([query]);
+  const vectors = await embeddingsResult.embeddings.embedDocuments([query]).catch(() => []);
+  const embedding = vectors[0];
   if (!embedding) {
     return { success: false, reason: "知识库向量生成失败", status: 500 };
   }