feat: add hybrid llm quality inspection

src/lib/workflow/__tests__/llm-integration.test.ts

@@ -16,6 +16,7 @@ vi.mock("../../llm/client", async () => {
 
 import { extractCandidateFactCard } from "../fact-extractor";
 import { optimizeArticle } from "../article-optimizer";
+import { inspectQualityWithLlm } from "../quality-inspector";
 import { rewriteFailedSections } from "../targeted-rewriter";
 
 describe("LLM workflow integration", () => {
@@ -194,4 +195,77 @@ describe("LLM workflow integration", () => {
     expect(rewritten.title).toContain("GEO optimization Guide");
     expect(rewritten.summary).toBe("Original summary");
   });
+
+  it("uses LLM quality checks to enrich non-failing deterministic checks", async () => {
+    llmMocks.generateValidatedJson.mockResolvedValueOnce({
+      checks: [
+        {
+          rule_id: "platform_fit",
+          status: "warn",
+          evidence: "LLM noticed the article reads like a generic blog post.",
+          reason: "The structure is not specific enough for an official site.",
+          suggested_fix: "Add a clearer brand-owned introduction.",
+          target_agent: "body",
+        },
+      ],
+    });
+
+    const report = await inspectQualityWithLlm({
+      article: {
+        title: "Example GEO Optimization Guide",
+        summary:
+          "A official site article for Marketing teams about GEO optimization.",
+        body_markdown:
+          "Example Technology Co., Ltd. has 8 years of GEO optimization experience.",
+        image_suggestions: [{ source: "image_1", suggestion: "Use dashboard." }],
+        changed_sections: [],
+        requires_user_confirmation: [],
+      },
+      factCard: confirmedFactCard,
+      platform: "official_site",
+      sourceImages: [{ type: "description", content: "dashboard" }],
+    });
+
+    const platformCheck = report.checks.find(
+      (check) => check.rule_id === "platform_fit",
+    );
+    expect(platformCheck?.status).toBe("warn");
+    expect(platformCheck?.evidence).toContain("LLM noticed");
+  });
+
+  it("does not let LLM downgrade deterministic hard failures", async () => {
+    llmMocks.generateValidatedJson.mockResolvedValueOnce({
+      checks: [
+        {
+          rule_id: "company_name_integrity",
+          status: "pass",
+          evidence: "LLM says it is fine.",
+          reason: "LLM attempted to downgrade a failure.",
+          suggested_fix: "",
+          target_agent: null,
+        },
+      ],
+    });
+
+    const report = await inspectQualityWithLlm({
+      article: {
+        title: "Example GEO Optimization Guide",
+        summary:
+          "A official site article for Marketing teams about GEO optimization.",
+        body_markdown: "Example has 8 years of GEO optimization experience.",
+        image_suggestions: [{ source: "image_1", suggestion: "Use dashboard." }],
+        changed_sections: [],
+        requires_user_confirmation: [],
+      },
+      factCard: confirmedFactCard,
+      platform: "official_site",
+      sourceImages: [{ type: "description", content: "dashboard" }],
+    });
+
+    const companyCheck = report.checks.find(
+      (check) => check.rule_id === "company_name_integrity",
+    );
+    expect(companyCheck?.status).toBe("fail");
+    expect(companyCheck?.reason).toContain("公司");
+  });
 });