feat: label llm workflow tasks

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

@@ -67,6 +67,9 @@ describe("LLM workflow integration", () => {
     expect(card.company_full_name).toBe("DeepSeek Example Co., Ltd.");
     expect(card.experience_years).toBe(9);
     expect(llmMocks.generateValidatedJson).toHaveBeenCalledOnce();
+    expect(llmMocks.generateValidatedJson).toHaveBeenCalledWith(
+      expect.objectContaining({ task: "fact_extractor" }),
+    );
   });
 
   it("falls back to deterministic candidate extraction when LLM returns null", async () => {
@@ -108,6 +111,9 @@ describe("LLM workflow integration", () => {
     expect(article.title).toBe("LLM Optimized GEO Article");
     expect(article.body_markdown).toContain("LLM Body");
     expect(llmMocks.generateValidatedJson).toHaveBeenCalledOnce();
+    expect(llmMocks.generateValidatedJson).toHaveBeenCalledWith(
+      expect.objectContaining({ task: "article_optimizer" }),
+    );
   });
 
   it("falls back to deterministic article optimization when LLM returns null", async () => {
@@ -165,6 +171,9 @@ describe("LLM workflow integration", () => {
 
     expect(rewritten.title).toBe("Rewritten By LLM");
     expect(llmMocks.generateValidatedJson).toHaveBeenCalledOnce();
+    expect(llmMocks.generateValidatedJson).toHaveBeenCalledWith(
+      expect.objectContaining({ task: "targeted_rewriter" }),
+    );
   });
 
   it("falls back to deterministic targeted rewrite when LLM returns null", async () => {
@@ -231,6 +240,9 @@ describe("LLM workflow integration", () => {
     );
     expect(platformCheck?.status).toBe("warn");
     expect(platformCheck?.evidence).toContain("LLM noticed");
+    expect(llmMocks.generateValidatedJson).toHaveBeenCalledWith(
+      expect.objectContaining({ task: "quality_inspector" }),
+    );
   });
 
   it("does not let LLM downgrade deterministic hard failures", async () => {

src/lib/workflow/article-optimizer.ts

@@ -24,6 +24,7 @@ export async function optimizeArticle({
     system: ARTICLE_OPTIMIZER_SYSTEM_PROMPT,
     prompt: buildArticleOptimizerPrompt(input, factCard),
     temperature: 0.2,
+    task: "article_optimizer",
   });
 
   return llmArticle ?? optimizeArticleFallback({ input, factCard });

src/lib/workflow/fact-extractor.ts

@@ -14,6 +14,7 @@ export async function extractCandidateFactCard(
     system: FACT_EXTRACTOR_SYSTEM_PROMPT,
     prompt: buildFactExtractorPrompt(input),
     temperature: 0.1,
+    task: "fact_extractor",
   });
 
   return llmCard ?? extractCandidateFactCardFallback(input);

src/lib/workflow/quality-inspector.ts

@@ -65,6 +65,7 @@ export async function inspectQualityWithLlm(
       deterministicChecks: deterministicReport.checks,
     }),
     temperature: 0.1,
+    task: "quality_inspector",
   });
 
   if (!llmPatch) {

src/lib/workflow/targeted-rewriter.ts

@@ -22,6 +22,7 @@ export async function rewriteFailedSections({
     system: TARGETED_REWRITER_SYSTEM_PROMPT,
     prompt: buildTargetedRewritePrompt({ article, factCard, failedChecks }),
     temperature: 0.15,
+    task: "targeted_rewriter",
   });
 
   return llmArticle ?? rewriteFailedSectionsFallback({ article, factCard, failedChecks });