fix: harden AI analysis provider responses

modules/ai/server/analysis.ts

@@ -30,6 +30,7 @@ function createChatModel(config: { baseUrl: string; apiKey: string; chatModel: s
   return new ChatOpenAI({
     apiKey: config.apiKey,
     model: config.chatModel,
+    maxTokens: 1800,
     temperature: 0.2,
     configuration,
   });
@@ -241,6 +242,7 @@ export async function generateElderAiAnalysis(
     "输出 JSON 字段：overallRiskLevel(low|medium|high|critical|unknown), summary, keyFindings, recommendations, dataGaps, citations, confidence, modelSummary。",
     "keyFindings[] 字段：category, severity(info|warning|critical), evidence, citationIds。",
     "recommendations[] 字段：title, priority(low|normal|high|urgent), rationale, suggestedNextStep, citationIds。",
+    "citations[] 只返回你实际引用过的 citation 对象，citationIds 必须来自可用 citations。",
     knowledgeUnavailableReason ? `知识库检索不可用：${knowledgeUnavailableReason}。请在 dataGaps 中包含“知识库检索不可用，分析未使用内部知识库”。` : "",
     `modelSummary 固定为 {"provider":"openai-compatible","chatModel":"${runtimeConfig.config.chatModel}","embeddingModel":"${runtimeConfig.config.embeddingModel}"}。`,
     `可用 citations：${JSON.stringify(citations)}`,
@@ -250,7 +252,9 @@ export async function generateElderAiAnalysis(
 
   let rawOutput: unknown;
   try {
-    const response = await model.invoke(prompt);
+    const response = await model.invoke(prompt, {
+      response_format: { type: "json_object" },
+    });
     const content = Array.isArray(response.content)
       ? response.content.map((item) => (typeof item === "string" ? item : "")).join("\n")
       : String(response.content);

modules/ai/server/knowledge.ts

@@ -125,8 +125,12 @@ async function buildKnowledgeChunks(input: KnowledgeEntryInput): Promise<Service
   }
 
   const chunks = chunkKnowledgeText(input);
+  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[]> {
@@ -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 };
   }

modules/ai/types.ts

@@ -256,6 +256,7 @@ export function validateElderAiAnalysisOutput(value: unknown): ElderAiAnalysisOu
   if (!isRecord(value)) {
     return null;
   }
+  const confidenceValue = typeof value.confidence === "string" ? Number(value.confidence) : value.confidence;
   const keyFindings = Array.isArray(value.keyFindings) ? value.keyFindings.map(validateFinding) : null;
   const recommendations = Array.isArray(value.recommendations) ? value.recommendations.map(validateRecommendation) : null;
   const citations = Array.isArray(value.citations) ? value.citations.map(validateCitation) : null;
@@ -265,7 +266,8 @@ export function validateElderAiAnalysisOutput(value: unknown): ElderAiAnalysisOu
   if (
     !ELDER_AI_RISK_LEVELS.includes(value.overallRiskLevel as ElderAiRiskLevel) ||
     typeof value.summary !== "string" ||
-    typeof value.confidence !== "number" ||
+    typeof confidenceValue !== "number" ||
+    !Number.isFinite(confidenceValue) ||
     !keyFindings ||
     keyFindings.includes(null) ||
     !recommendations ||
@@ -285,7 +287,7 @@ export function validateElderAiAnalysisOutput(value: unknown): ElderAiAnalysisOu
     recommendations: recommendations.filter((item): item is ElderAiRecommendation => Boolean(item)),
     dataGaps,
     citations: citations.filter((item): item is AiCitation => Boolean(item)),
-    confidence: Math.max(0, Math.min(1, value.confidence)),
+    confidence: Math.max(0, Math.min(1, confidenceValue)),
     modelSummary,
   };
 }