351 lines
15 KiB
TypeScript
351 lines
15 KiB
TypeScript
import type {
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ArticleInput,
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CopyOptimizationRequest,
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OptimizationFactCard,
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OptimizedArticle,
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PublishPlatform,
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QaCheck,
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} from "../domain/types";
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export const JSON_ONLY_PROMPT =
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"Return valid JSON only. Do not include markdown fences or commentary.";
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const CUSTOMER_RISK_GUIDANCE = [
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"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、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。",
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"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。",
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].join(" ");
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const PLATFORM_GUIDANCE: Record<PublishPlatform, string> = {
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official_site:
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"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。",
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media_article:
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"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。",
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comparison_review:
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"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。",
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recommendation_list:
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"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。",
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};
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const FACT_CARD_OUTPUT_CONTRACT = [
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"Output type contract:",
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"- company_full_name, target_industry, target_audience must be strings.",
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"- experience_years must be a number or null.",
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"- company_short_names, brand_names, product_names, core_claims, forbidden_claims, image_topics, uncertain_items must be string[].",
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"- core_claims must be string[].",
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"- uncertain_items must be string[].",
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"- Do not return objects inside string arrays; put the readable claim text directly in the array.",
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"Example:",
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JSON.stringify(
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{
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company_full_name: "示例科技有限公司",
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company_short_names: ["示例科技"],
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brand_names: ["示例品牌"],
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product_names: ["GEO内容优化平台"],
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target_industry: "GEO内容优化",
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target_audience: "市场团队",
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experience_years: null,
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core_claims: ["提供GEO内容优化服务"],
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forbidden_claims: ["行业第一"],
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image_topics: ["产品后台截图"],
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uncertain_items: ["客户案例缺少来源"],
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},
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null,
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2,
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),
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].join("\n");
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const OPTIMIZED_ARTICLE_OUTPUT_CONTRACT = [
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"Output type contract:",
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"- title, summary, body_markdown must be strings.",
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"- image_suggestions must be [].",
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"- changed_sections must be string[].",
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"- requires_user_confirmation must be string[].",
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"- Do not return objects inside string arrays; put the readable item text directly in the array.",
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"Example:",
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JSON.stringify(
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{
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title: "示例科技 GEO 内容优化方案",
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summary: "围绕事实卡重写后的官网文章摘要。",
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body_markdown: "## 服务能力\n示例科技有限公司提供GEO内容优化服务。",
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image_suggestions: [],
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changed_sections: ["title", "body"],
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requires_user_confirmation: ["客户案例需要确认"],
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},
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null,
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2,
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),
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].join("\n");
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const QA_OUTPUT_CONTRACT = [
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"Output type contract:",
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"- Return { checks: QaCheck[] }.",
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"- rule_id must reuse the exact English rule_id from deterministicChecks.",
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"- status must be one of pass, warn, fail.",
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"- evidence, reason, suggested_fix must be strings.",
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"- target_agent must be title, body, fact_card, or null.",
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"Example check:",
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JSON.stringify(
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{
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rule_id: "title_quality",
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status: "warn",
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evidence: "标题偏营销化",
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reason: "官网标题需要更克制",
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suggested_fix: "改成事实型标题",
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target_agent: "title",
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},
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null,
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2,
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),
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].join("\n");
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const RENWEI_OUTPUT_CONTRACT = [
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"Output type contract:",
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"- optimized_text must be a string.",
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"- change_notes must be an array of { original, revised, reason, confidence, revertible }.",
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"- confidence must be confident or uncertain.",
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"- revertible must be boolean.",
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"- ai_taste_checks must be an array of { rule_id, status, evidence, suggestion }.",
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"- rule_id must be one of meaning_inflation, promotion_tone, formulaic_sentence, format_trace, chat_trace, filler_hedging.",
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"- status must be pass or warn.",
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"- warnings must be string[].",
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"Example:",
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JSON.stringify(
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{
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optimized_text: "我把句子顺了一下。",
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change_notes: [
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{
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original: "我把句子顺顺。",
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revised: "我把句子顺了一下。",
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reason: "修掉重复，让句子自然收住。",
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confidence: "confident",
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revertible: false,
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},
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],
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ai_taste_checks: [
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{
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rule_id: "promotion_tone",
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status: "pass",
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evidence: "没有新增宣传腔。",
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suggestion: "",
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},
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],
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warnings: [],
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},
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null,
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2,
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),
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].join("\n");
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function formatPlatformGuidance(selected: PublishPlatform) {
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return [
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"平台模板选项：",
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...Object.values(PLATFORM_GUIDANCE).map((item) => `- ${item}`),
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`当前目标平台：${selected}。必须优先遵守该平台模板。`,
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].join("\n");
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}
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export const ARTICLE_OPTIMIZER_SYSTEM_PROMPT = [
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"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。",
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CUSTOMER_RISK_GUIDANCE,
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"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。",
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"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。",
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JSON_ONLY_PROMPT,
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].join(" ");
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export const QUALITY_INSPECTOR_SYSTEM_PROMPT = [
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"你是质量门禁审核器。逐项检查 deterministicChecks 中的每个 rule_id。",
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CUSTOMER_RISK_GUIDANCE,
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"不得把 deterministic fail 降级。每项必须给出 status、evidence、reason、suggested_fix、target_agent。",
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JSON_ONLY_PROMPT,
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].join(" ");
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export const FACT_EXTRACTOR_SYSTEM_PROMPT = [
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"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。",
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CUSTOMER_RISK_GUIDANCE,
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"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。",
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"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。",
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JSON_ONLY_PROMPT,
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].join(" ");
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export const TARGETED_REWRITER_SYSTEM_PROMPT = [
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"你是定向修复器。只修复 failedChecks 指出的失败项，不整篇重写。",
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CUSTOMER_RISK_GUIDANCE,
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"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。",
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JSON_ONLY_PROMPT,
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].join(" ");
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export const RENWEI_COPY_OPTIMIZER_SYSTEM_PROMPT = [
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"你是中文普通文案编辑，不是营销代笔工具。",
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"目标是让文字更顺，但改完后作者还在。",
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"硬性规则：少动，只改真正打绊的地方；保留作者的位置、语气、口头习惯和可识别手迹。",
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"不凭空新增时间、地点、数字、案例、情绪、场景、资质、效果承诺或没有来源的事实。",
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"不写过度金句，不要把普通句子改成宣传腔、排比、格言、万能展望或意义拔高。",
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"拿不准时白描，不拔高；拿不准的改动必须标记为 uncertain 且 revertible 为 true。",
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"改后只检查被改动句子是否引入 AI 味，并逐处说明改了什么、为什么改。",
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JSON_ONLY_PROMPT,
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].join(" ");
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function describeRenweiIntensity(
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intensity: CopyOptimizationRequest["intensity"],
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) {
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const descriptions = {
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light: "light / 轻微整理：尽量只修顺病句、错别字、明显卡顿。",
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medium: "medium / 适度润色：允许调整句序和连接，但不改变作者表达的粗糙感。",
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conversational:
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"conversational / 更口语自然：让口吻更像真人说话，但不凭空增加表演性口语。",
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} satisfies Record<CopyOptimizationRequest["intensity"], string>;
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return descriptions[intensity];
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}
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export function buildFactExtractorPrompt(input: ArticleInput) {
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return [
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"Return a CandidateFactCard JSON object with these exact keys:",
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"company_full_name, company_short_names, brand_names, product_names, target_industry, target_audience, experience_years, core_claims, forbidden_claims, image_topics, uncertain_items.",
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"Do not include confirmed_by_user.",
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"",
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FACT_CARD_OUTPUT_CONTRACT,
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"",
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"字段要求：",
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"- core_claims 只放原文明示、可作为后续优化硬约束的事实。",
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"- 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。",
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"- 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。",
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"- 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。",
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"- target_industry 必须是文章主行业，避免被局部案例带偏。",
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"",
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"Article input:",
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JSON.stringify(input, null, 2),
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].join("\n");
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}
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export function buildArticleOptimizerPrompt(
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input: ArticleInput,
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factCard: OptimizationFactCard,
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) {
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return [
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"Return an OptimizedArticle JSON object with these exact keys:",
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"title, summary, body_markdown, image_suggestions, changed_sections, requires_user_confirmation.",
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"",
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OPTIMIZED_ARTICLE_OUTPUT_CONTRACT,
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"",
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formatPlatformGuidance(input.platform),
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"",
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"输出要求：",
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"- 输出中文标题，禁止使用英文模板词如 Guide、Best、Top。",
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"- 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。",
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"- 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`。",
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"- 如果用户要求包含未确认事实，正文不写入，放入 requires_user_confirmation。",
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"- 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。",
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"- 必须删除或弱化 factCard.forbidden_claims 中的主张。",
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"- 不得新增客户案例、数字、资质、排名、奖项、服务能力、效果承诺。",
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"- 当前版本只优化文本，不生成图片建议；image_suggestions 必须返回空数组 []。",
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"",
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"Confirmed fact card:",
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JSON.stringify(factCard, null, 2),
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"",
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"Article input:",
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JSON.stringify(input, null, 2),
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].join("\n");
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}
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export function buildQualityInspectorPrompt(input: {
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article: OptimizedArticle;
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factCard: OptimizationFactCard;
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platform: PublishPlatform;
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deterministicChecks: QaCheck[];
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}) {
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return [
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"Return a JSON object with a checks array.",
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"Each check must include rule_id, status, evidence, reason, suggested_fix, and target_agent.",
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"Only use rule_id values already present in deterministicChecks.",
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QA_OUTPUT_CONTRACT,
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"不得把 deterministic fail 降级。",
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"",
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formatPlatformGuidance(input.platform),
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"",
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"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。",
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"warn 标准：句子过长、表达可读性一般、平台适配轻微不足。",
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"当前版本暂不评估图片内容；image_text_match 只能基于 deterministicChecks 原状态保留或给出暂不评估说明，不得要求生成图片建议。",
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"target_agent 只能使用 title、body、fact_card 或 null。",
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"",
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"Confirmed fact card:",
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JSON.stringify(input.factCard, null, 2),
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"",
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"Optimized article:",
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JSON.stringify(input.article, null, 2),
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"",
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"Deterministic checks:",
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JSON.stringify(input.deterministicChecks, null, 2),
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].join("\n");
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}
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export function buildTargetedRewritePrompt(input: {
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article: OptimizedArticle;
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factCard: OptimizationFactCard;
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failedChecks: QaCheck[];
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}) {
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return [
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"Return an OptimizedArticle JSON object.",
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OPTIMIZED_ARTICLE_OUTPUT_CONTRACT,
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"Rewrite only the fields needed for failedChecks.",
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"",
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"按 rule_id 执行修复动作：",
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"- industry_alignment：删除偏离行业的段落，改回 factCard.target_industry。",
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"- company_name_integrity：统一公司全称和简称。",
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"- 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。",
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"- claim_consistency：统一年限、产品名、服务能力和核心主张。",
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"- title_quality：生成自然中文标题，禁止英文模板词。",
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"- body_quality：拆分长句，修复病句和断裂表达。",
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"- voice_consistency / platform_fit：改成目标平台对应口吻。",
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"- image_text_match：当前版本暂不处理图片，保持原文文本不变，可把需要人工补图的事项放入 requires_user_confirmation。",
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"不得新增事实。无法修复的内容放入 requires_user_confirmation。",
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"",
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"Confirmed fact card:",
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JSON.stringify(input.factCard, null, 2),
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"",
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"Current optimized article:",
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JSON.stringify(input.article, null, 2),
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"",
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"Failed checks:",
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JSON.stringify(input.failedChecks, null, 2),
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].join("\n");
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}
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export function buildRenweiCopyOptimizationPrompt(
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input: CopyOptimizationRequest,
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) {
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return [
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"Return a CopyOptimizationResult JSON object with these exact keys:",
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"optimized_text, change_notes, ai_taste_checks, warnings.",
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"",
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RENWEI_OUTPUT_CONTRACT,
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"",
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"强度选项：",
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"- light：轻微整理。",
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"- medium：适度润色。",
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"- conversational：更口语自然。",
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`当前修改强度：${describeRenweiIntensity(input.intensity)}`,
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"",
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"改稿要求：",
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"- 默认少动，不追求更漂亮，只清掉绊脚处。",
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"- 毛边先假设是作者手迹，不要机械删口语、停顿或重复。",
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"- 不写“不是X，而是Y”、排比三连、万能展望、宣传腔或假深刻句式。",
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"- 不使用破折号作为装饰性解释。",
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"- 必须逐处说明改动；未改动的句子不要编造改动说明。",
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"- AI 味检查只检查被改动句子。",
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"",
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"User request:",
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JSON.stringify(
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{
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goal: input.goal,
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intensity: input.intensity,
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user_instructions: input.user_instructions,
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},
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null,
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2,
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),
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"",
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"source_text:",
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input.source_text,
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].join("\n");
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}
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