feat: strengthen llm workflow prompts

src/lib/llm/prompts.ts

@@ -9,31 +9,57 @@ import type {
 export const JSON_ONLY_PROMPT =
   "Return valid JSON only. Do not include markdown fences or commentary.";
 
+const CUSTOMER_RISK_GUIDANCE = [
+  "客户最担心的内容风险：行业漂移、公司全称/简称/品牌名不一致、图片主题与正文描述不匹配、官网文章出现第三方口吻、平台语气和文章类型不匹配、标题或正文语义不顺、虚构资质/年限/案例/能力、产品/服务/年限前后冲突。",
+  "任何客户案例、资质荣誉、经验年限、服务能力、出海/多语种/合规能力、效果承诺和排名，都必须能从原文或已确认事实卡中找到明确依据。",
+].join(" ");
+
+const PLATFORM_GUIDANCE: Record<PublishPlatform, string> = {
+  official_site:
+    "official_site / 官网文章：第一方品牌口吻，表达克制可信，可使用“我们/公司/品牌”视角；避免第三方评测腔、夸大宣传和无依据背书。",
+  media_article:
+    "media_article / 媒体稿：第三方客观报道口吻，突出事实、背景和行业价值；不要替品牌自夸，不制造新闻来源。",
+  comparison_review:
+    "comparison_review / 对比评测：对比分析口吻，只比较原文或事实卡中明确出现的信息；不得虚构竞品、排名、参数或测试结论。",
+  recommendation_list:
+    "recommendation_list / 推荐榜单：推荐榜单口吻，必须解释推荐依据；不得制造榜单排名、奖项或第三方认证。",
+};
+
+function formatPlatformGuidance(selected: PublishPlatform) {
+  return [
+    "平台模板选项：",
+    ...Object.values(PLATFORM_GUIDANCE).map((item) => `- ${item}`),
+    `当前目标平台：${selected}。必须优先遵守该平台模板。`,
+  ].join("\n");
+}
+
 export const ARTICLE_OPTIMIZER_SYSTEM_PROMPT = [
-  "You optimize GEO-related articles under a confirmed fact card.",
-  "Never invent numbers, cases, qualifications, company names, products, or years.",
-  "Use only facts present in the confirmed fact card or source article.",
+  "你是中文 GEO 内容优化编辑。目标不是复述原文，而是在事实卡约束下进行实质性重写。",
+  CUSTOMER_RISK_GUIDANCE,
+  "硬性规则：只能使用 confirmed fact card 和 source article 中明确出现的事实；不得新增客户案例、数字、资质、排名、奖项、服务能力、效果承诺；输出中文标题，禁止使用英文模板词如 Guide、Best、Top。",
+  "必须修复原文中的病句、断裂句、错别字、逻辑跳跃和段落结构问题。",
   JSON_ONLY_PROMPT,
 ].join(" ");
 
 export const QUALITY_INSPECTOR_SYSTEM_PROMPT = [
-  "Evaluate article quality against the confirmed fact card and target platform.",
-  "Return one structured check per required quality gate when asked.",
-  "Do not downgrade deterministic hard failures supplied by the application.",
+  "你是质量门禁审核器。逐项检查 deterministicChecks 中的每个 rule_id。",
+  CUSTOMER_RISK_GUIDANCE,
+  "不得把 deterministic fail 降级。每项必须给出 status、evidence、reason、suggested_fix、target_agent。",
   JSON_ONLY_PROMPT,
 ].join(" ");
 
 export const FACT_EXTRACTOR_SYSTEM_PROMPT = [
-  "Extract a candidate fact card from the source article.",
-  "Do not mark uncertain facts as confirmed.",
-  "Put missing or conflicting facts in uncertain_items.",
+  "你是事实卡提取器。只从原文和图片描述中抽取事实，不推测、不补全。",
+  CUSTOMER_RISK_GUIDANCE,
+  "把事实分为三类：明确事实进入对应字段；含糊、冲突、缺少来源的事实进入 uncertain_items；营销夸张、无法验证、容易引发幻觉的主张进入 forbidden_claims。",
+  "特别检查：公司全称、简称、品牌名、产品/服务名、目标行业、目标受众、经验年限、客户案例、资质荣誉、服务能力、地域/出海能力、图片主题。不要把营销夸张词当事实。",
   JSON_ONLY_PROMPT,
 ].join(" ");
 
 export const TARGETED_REWRITER_SYSTEM_PROMPT = [
-  "Rewrite only the fields needed to resolve the provided failed QA checks.",
-  "Keep confirmed facts unchanged.",
-  "Preserve sections that are unrelated to failed checks.",
+  "你是定向修复器。只修复 failedChecks 指出的失败项，不整篇重写。",
+  CUSTOMER_RISK_GUIDANCE,
+  "不得新增事实。无法修复或需要客户确认的内容放入 requires_user_confirmation。",
   JSON_ONLY_PROMPT,
 ].join(" ");
 
@@ -43,6 +69,13 @@ export function buildFactExtractorPrompt(input: ArticleInput) {
     "company_full_name, company_short_names, brand_names, product_names, target_industry, target_audience, experience_years, core_claims, forbidden_claims, image_topics, uncertain_items.",
     "Do not include confirmed_by_user.",
     "",
+    "字段要求：",
+    "- core_claims 只放原文明示、可作为后续优化硬约束的事实。",
+    "- forbidden_claims 放行业第一、最强、知名客户、显著提升、保证转化等无法验证或高风险主张。",
+    "- uncertain_items 放客户案例、资质荣誉、经验年限、产品能力、出海能力等证据不足或前后冲突的内容。",
+    "- image_topics 必须来自图片描述或图片链接文本；没有图片就返回空数组。",
+    "- target_industry 必须是文章主行业，避免被局部案例带偏。",
+    "",
     "Article input:",
     JSON.stringify(input, null, 2),
   ].join("\n");
@@ -55,8 +88,18 @@ export function buildArticleOptimizerPrompt(
   return [
     "Return an OptimizedArticle JSON object with these exact keys:",
     "title, summary, body_markdown, image_suggestions, changed_sections, requires_user_confirmation.",
-    "Use Markdown in body_markdown.",
-    "If the user instruction asks for unsupported facts, omit them from the article and add them to requires_user_confirmation.",
+    "",
+    formatPlatformGuidance(input.platform),
+    "",
+    "输出要求：",
+    "- 输出中文标题，禁止使用英文模板词如 Guide、Best、Top。",
+    "- 进行实质性重写：重组标题、摘要、段落顺序、长句、病句和逻辑连接，而不是只在原文前后拼接内容。",
+    "- body_markdown 使用清晰的 Markdown 层级；标题层级要规范，中文标题后保留空格，例如 `## 标题`。",
+    "- 如果用户要求包含未确认事实，正文不写入，放入 requires_user_confirmation。",
+    "- 必须保留事实卡确认的公司全称、目标行业、目标受众和核心事实。",
+    "- 必须删除或弱化 factCard.forbidden_claims 中的主张。",
+    "- 不得新增客户案例、数字、资质、排名、奖项、服务能力、效果承诺。",
+    "- image_suggestions 必须基于 factCard.image_topics 或原始 images；没有图片主题时返回空数组。",
     "",
     "Confirmed fact card:",
     JSON.stringify(factCard, null, 2),
@@ -76,10 +119,13 @@ export function buildQualityInspectorPrompt(input: {
     "Return a JSON object with a checks array.",
     "Each check must include rule_id, status, evidence, reason, suggested_fix, and target_agent.",
     "Only use rule_id values already present in deterministicChecks.",
-    "If a deterministic check has status fail, keep it fail.",
+    "不得把 deterministic fail 降级。",
     "",
-    "Target platform:",
-    input.platform,
+    formatPlatformGuidance(input.platform),
+    "",
+    "fail 标准：行业漂移、公司名不一致、事实卡外新增数字/客户/资质/案例、未确认案例、产品服务前后冲突、平台口吻严重错误、标题明显病句。",
+    "warn 标准：图片证据不足、句子过长、表达可读性一般、平台适配轻微不足。",
+    "target_agent 只能使用 title、body、image、fact_card 或 null。",
     "",
     "Confirmed fact card:",
     JSON.stringify(input.factCard, null, 2),
@@ -100,7 +146,17 @@ export function buildTargetedRewritePrompt(input: {
   return [
     "Return an OptimizedArticle JSON object.",
     "Rewrite only the fields needed for failedChecks.",
-    "Do not add unconfirmed numbers, customer names, qualifications, awards, or capabilities.",
+    "",
+    "按 rule_id 执行修复动作：",
+    "- industry_alignment：删除偏离行业的段落，改回 factCard.target_industry。",
+    "- company_name_integrity：统一公司全称和简称。",
+    "- hallucination_risk：删除所有未确认数字、客户案例、资质、奖项、排名、效果承诺。",
+    "- claim_consistency：统一年限、产品名、服务能力和核心主张。",
+    "- title_quality：生成自然中文标题，禁止英文模板词。",
+    "- body_quality：拆分长句，修复病句和断裂表达。",
+    "- voice_consistency / platform_fit：改成目标平台对应口吻。",
+    "- image_text_match：只补充图片建议或人工确认项，不虚构图片内容。",
+    "不得新增事实。无法修复的内容放入 requires_user_confirmation。",
     "",
     "Confirmed fact card:",
     JSON.stringify(input.factCard, null, 2),