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src/content/model-catalog.ts

@@ -0,0 +1,216 @@
+export type ModelCategory =
+  | "text"
+  | "agent"
+  | "vision"
+  | "embedding"
+  | "code"
+  | "video"
+  | "image";
+
+/** 卡片右上角促销角标 */
+export type ModelCornerBadge = "热门" | "特惠";
+
+export type ModelCatalogItem = {
+  id: string;
+  name: string;
+  description: string;
+  tags: string[];
+  context: string;
+  priceIn: string;
+  priceOut: string;
+  category: ModelCategory;
+  provider: string;
+  priceLabel?: string;
+  pricingNote?: string;
+  contextLabel?: string;
+  logo?: string;
+  logoAlt?: string;
+  highlight?: "hot" | "offer" | null;
+};
+
+/** 后端 API 返回的模型数据格式 */
+export type ApiModelItem = {
+  id: string;
+  name: string;
+  description: string;
+  pricing?: {
+    type: string;
+    inputPrice?: number;
+    outputPrice?: number;
+    currency?: string;
+    unit?: string;
+    columns?: string[];
+    rows?: { label: string; values: Record<string, number> }[];
+    unitLabel?: string;
+  };
+  highlight?: "hot" | "offer" | null;
+  promoBadges?: string[];
+  capabilityTags?: string[];
+  provider?: string;
+  version?: string;
+  updatedAt?: string;
+  isNew?: boolean;
+};
+
+/** 根据 highlight 获取角标（仅后端字段） */
+export function getCornerBadgeFromHighlight(
+  highlight?: "hot" | "offer" | null,
+): ModelCornerBadge | undefined {
+  if (highlight === "hot") return "热门";
+  if (highlight === "offer") return "特惠";
+  return undefined;
+}
+
+export type ModelMarqueeItem = Pick<
+  ModelCatalogItem,
+  "id" | "name" | "logo" | "logoAlt" | "provider"
+>;
+
+export function getMarqueeModelRows(models: ModelCatalogItem[]): {
+  rowLtr: ModelMarqueeItem[];
+  rowRtl: ModelMarqueeItem[];
+} {
+  const items: ModelMarqueeItem[] = models.map((m) => ({
+    id: m.id,
+    name: m.name,
+    logo: m.logo,
+    logoAlt: m.logoAlt,
+    provider: m.provider,
+  }));
+  const mid = Math.ceil(items.length / 2);
+  return {
+    rowLtr: items.slice(0, mid),
+    rowRtl: items.slice(mid),
+  };
+}
+
+export const modelSquarePage = {
+  eyebrow: "模型",
+  title: "模型广场",
+  lead: "浏览平台已接入的 API 大模型：文本、Agent、多模态、向量、编程、视频与图像生成，按场景筛选并查看参考价格。",
+} as const;
+
+export const modelCategoryLabels: Record<ModelCategory | "all", string> = {
+  all: "全部",
+  agent: "Agent / 智能体",
+  text: "文本 / 旗舰",
+  vision: "多模态",
+  code: "编程",
+  embedding: "向量嵌入",
+  video: "视频生成",
+  image: "图像生成",
+};
+
+/** 标签去重（保留首次出现顺序） */
+export function uniqueTags(tags: string[]): string[] {
+  const seen = new Set<string>();
+  const out: string[] = [];
+  for (const t of tags) {
+    const s = t.trim();
+    if (!s || seen.has(s)) continue;
+    seen.add(s);
+    out.push(s);
+  }
+  return out;
+}
+
+function inferCategory(
+  description: string,
+  tags: string[],
+): ModelCategory {
+  const desc = `${description} ${tags.join(" ")}`;
+  if (desc.includes("视频")) return "video";
+  if (desc.includes("图像") || desc.includes("文生图")) return "image";
+  if (desc.includes("Embedding") || desc.includes("embedding")) return "embedding";
+  if (desc.includes("代码") || desc.includes("Coding") || desc.includes("编程"))
+    return "code";
+  if (desc.includes("多模态") || desc.includes("视觉")) return "vision";
+  if (desc.includes("Agent") || desc.includes("推理")) return "agent";
+  return "text";
+}
+
+function formatPricing(api: ApiModelItem): Pick<
+  ModelCatalogItem,
+  "priceIn" | "priceOut" | "priceLabel" | "pricingNote"
+> {
+  let priceIn = "—";
+  let priceOut = "—";
+  let pricingNote: string | undefined;
+  let priceLabel: string | undefined;
+
+  const p = api.pricing;
+  if (!p) return { priceIn, priceOut, priceLabel, pricingNote };
+
+  if (
+    p.type === "simple" &&
+    p.inputPrice !== undefined &&
+    p.outputPrice !== undefined
+  ) {
+    const cur = p.currency ?? "¥";
+    priceIn = `${cur}${p.inputPrice.toFixed(2)}`;
+    priceOut = `${cur}${p.outputPrice.toFixed(2)}`;
+  } else if (p.type === "table" && p.rows && p.columns) {
+    priceLabel = p.unitLabel ?? "价格";
+    const parts: string[] = [];
+    for (const row of p.rows) {
+      for (const col of p.columns) {
+        const val = row.values[col];
+        if (val !== undefined) {
+          parts.push(`${row.label} ${col} ¥${val}`);
+        }
+      }
+    }
+    pricingNote = parts.length > 0 ? parts.join(" · ") : undefined;
+  }
+
+  return { priceIn, priceOut, priceLabel, pricingNote };
+}
+
+/** 将后端公开模型列表映射为展示用目录（无静态合并） */
+export function mapApiModelsToCatalog(
+  apiModels: ApiModelItem[],
+): ModelCatalogItem[] {
+  return apiModels.map((api) => {
+    const tags = uniqueTags([
+      ...(api.capabilityTags ?? []),
+      ...(api.promoBadges ?? []),
+    ]);
+    const description = api.description ?? "";
+    const prices = formatPricing(api);
+
+    return {
+      id: api.id,
+      name: api.name,
+      description,
+      tags,
+      context: api.version?.trim() || "—",
+      ...prices,
+      category: inferCategory(description, tags),
+      provider: api.provider?.trim() || "—",
+      contextLabel: "版本 / 规格",
+      highlight: api.highlight ?? null,
+    };
+  });
+}
+
+/** 首页主推：优先后端 highlight，否则取列表前三 */
+export function pickHomeFeaturedModels(
+  models: ModelCatalogItem[],
+): (ModelCatalogItem & { cornerBadge?: ModelCornerBadge })[] {
+  const decorate = (
+    model: ModelCatalogItem,
+  ): ModelCatalogItem & { cornerBadge?: ModelCornerBadge } => ({
+    ...model,
+    tags: model.tags.includes("主推") ? model.tags : ["主推", ...model.tags],
+    cornerBadge: getCornerBadgeFromHighlight(model.highlight),
+  });
+
+  const highlighted = models.filter(
+    (m) => m.highlight === "hot" || m.highlight === "offer",
+  );
+  if (highlighted.length > 0) {
+    return highlighted.slice(0, 3).map(decorate);
+  }
+
+  return models.slice(0, 3).map(decorate);
+}

src/content/news-articles.ts

@@ -0,0 +1,162 @@
+export type NewsArticle = {
+  slug: string;
+  tag: string;
+  title: string;
+  summary: string;
+  date: string;
+  author: string;
+  readMinutes: number;
+  image: string;
+  imageAlt: string;
+  paragraphs: string[];
+};
+
+export const newsListPage = {
+  eyebrow: "资讯",
+  title: "AI 新闻资讯",
+  lead: "精选行业动态、模型发布与产品实践，帮助团队保持对 AI 生态的同步认知。",
+} as const;
+
+/** 与 public/news/1.webp … 8.webp 一一对应 */
+export const newsArticles: NewsArticle[] = [
+  {
+    slug: "model-square-launch",
+    tag: "产品",
+    title: "模型广场上线：统一浏览平台可用模型",
+    summary: "按场景分类查看上下文、能力与参考价格，技术选型一页完成。",
+    date: "2026-05-20",
+    author: "海宇数科产品团队",
+    readMinutes: 3,
+    image: "/news/1.webp",
+    imageAlt: "模型广场界面与多模型能力示意",
+    paragraphs: [
+      "模型广场页面现已上线，汇总海宇数科自营与接入模型的能力标签、上下文长度与参考单价，方便技术负责人做选型对比。",
+      "首页「超全模型库」精选三款主力模型，完整目录请访问模型广场。后续将支持按行业筛选与 API 文档跳转。",
+      "建议结合报告智能体场景模板一起评估：文本推理、报告成稿与多模态可组合调用，避免「单模型包打天下」带来的成本与效果失衡。",
+    ],
+  },
+  {
+    slug: "report-templates-2",
+    tag: "产品",
+    title: "智能报告模板库 2.0 发布",
+    summary: "新增制造业与零售行业模板，支持多语言导出。",
+    date: "2026-05-12",
+    author: "海宇数科产品团队",
+    readMinutes: 4,
+    image: "/news/2.webp",
+    imageAlt: "智能报告模板与结构化章节预览",
+    paragraphs: [
+      "智能报告模板库 2.0 即日起面向全部企业客户开放。本次更新重点补齐制造业产能分析、零售渠道动销解读两类高频场景，模板结构与首页「大模型智能报告」四类智能体输出保持一致，便于从示例一键切换到生产任务。",
+      "多语言导出支持简体中文、英文与繁体中文三种排版骨架；图表与表格标题将随语言包自动切换。若你已在用 1.x 模板，升级后历史任务无需重配字段映射。",
+      "建议团队在上线前用 KYB 或供应商筛查场景各跑一条试算任务，确认复核节点与导出样式符合内部合规要求。",
+    ],
+  },
+  {
+    slug: "kyb-batch-export",
+    tag: "产品",
+    title: "KYB 报告支持批量导出与审计留痕",
+    summary: "复核结论、证据链与时间戳一并打包，满足银行尽调归档。",
+    date: "2026-05-08",
+    author: "海宇数科产品团队",
+    readMinutes: 4,
+    image: "/news/3.webp",
+    imageAlt: "KYB 企业核验与批量导出流程示意",
+    paragraphs: [
+      "KYB 企业核验场景新增批量导出：单次任务最多 50 个主体，导出 ZIP 内含 PDF 报告、证据链 JSON 与操作审计日志，满足银行尽调留痕要求。",
+      "审计日志记录模型版本、工具调用摘要与人工复核人，不可篡改字段由平台侧签名。",
+      "批量任务仍支持在关键节点暂停复核，避免高风险主体在未确认情况下进入正式档案系统。",
+    ],
+  },
+  {
+    slug: "long-context-report-trial",
+    tag: "模型",
+    title: "长上下文报告模型开放试用",
+    summary: "256K 上下文面向超长年报与招股书场景。",
+    date: "2026-04-28",
+    author: "海宇数科模型平台",
+    readMinutes: 5,
+    image: "/news/4.webp",
+    imageAlt: "长文档报告模型与上下文能力示意",
+    paragraphs: [
+      "Haiyu-Report-Max 256K 上下文版本进入限量试用。该版本针对年报、招股书与合并报表等超长输入做了分段索引优化，在 IC Memo 与管理层汇报场景中可显著减少人工摘抄时间。",
+      "试用配额按企业账号发放，默认并发 2 路。价格参考模型广场公示的输入 / 输出单价，试用期间不计入正式账单。",
+      "若文档含大量扫描页，建议与 Haiyu-Vision-Doc 组合调用：视觉模型先提取表格与段落，再由报告模型成稿。",
+    ],
+  },
+  {
+    slug: "finance-shared-services-ai",
+    tag: "行业",
+    title: "大模型在财务共享中心的落地观察",
+    summary: "从试点到规模化的三条路径与常见坑位。",
+    date: "2026-04-15",
+    author: "海宇数科行业研究",
+    readMinutes: 6,
+    image: "/news/5.webp",
+    imageAlt: "财务共享与 AI 助手协同办公场景",
+    paragraphs: [
+      "财务共享中心是大模型落地最密集的企业职能之一，但成功率差异主要来自「流程嵌入深度」而非模型选型本身。我们观察到三条可复用路径：制度问答助手、关账说明自动生成、异常凭证解释。",
+      "试点阶段常见坑位包括：指标口径未与数据中台对齐、输出直接进 ERP 缺少人工节点、以及把通用聊天模型硬用于结构化报告。",
+      "规模化阶段建议将模型调用纳入统一网关，按场景路由到 Text-Pro 或 Report-Max，并在模型广场查看实时价格与上下文上限。",
+    ],
+  },
+  {
+    slug: "report-agent-orchestration",
+    tag: "实践",
+    title: "报告智能体编排最佳实践",
+    summary: "如何在关键节点保留人工审核而不拖慢交付。",
+    date: "2026-03-30",
+    author: "海宇数科解决方案",
+    readMinutes: 5,
+    image: "/news/6.webp",
+    imageAlt: "报告智能体三步流程与编排示意",
+    paragraphs: [
+      "报告智能体的一体化流水线已内置模型与工具，但风控场景仍需要在关键节点保留人工审核。推荐在「高风险信号写出后」「导出 PDF 前」设置两个可选暂停点，平均只增加约 3–8 分钟等待。",
+      "编排上尽量用场景模板驱动，而不是在对话里临时描述输出结构；模板与智能报告卡片一一对应，可减少返工。",
+      "安装渠道与 IDE 插件形态仍在完善中，官网「一键安装」入口将同步更新。",
+    ],
+  },
+  {
+    slug: "multimodal-contract-review",
+    tag: "行业",
+    title: "多模态审阅如何缩短合同核验周期",
+    summary: "扫描件 OCR 与主体风险批注一体化，降低法务重复劳动。",
+    date: "2026-03-18",
+    author: "海宇数科行业研究",
+    readMinutes: 5,
+    image: "/news/7.webp",
+    imageAlt: "合同扫描件与多模态风险批注示意",
+    paragraphs: [
+      "法务团队在处理供应商合同时，往往需要在 PDF 扫描件、工商数据和司法风险之间来回切换。Haiyu-Vision-Doc 与合同核验场景模板组合后，可在同一任务流中完成主体状态校验与条款风险提示。",
+      "试点客户反馈：平均首轮审阅时间从约 45 分钟降至 15 分钟以内，复核节点仍由法务负责人确认后导出。",
+      "对于含大量表格的附件，建议开启「表格优先解析」选项，避免段落顺序错乱影响批注位置。",
+    ],
+  },
+  {
+    slug: "enterprise-rag-knowledge-base",
+    tag: "实践",
+    title: "企业制度库 RAG：从问答到可引用报告",
+    summary: "向量检索 + 报告模型，让制度问答输出带条款出处。",
+    date: "2026-03-05",
+    author: "海宇数科解决方案",
+    readMinutes: 6,
+    image: "/news/8.webp",
+    imageAlt: "企业知识库检索与 RAG 问答示意",
+    paragraphs: [
+      "许多企业将 Haiyu-Embed-v2 用于制度库与历史报告片段召回，再交由 Haiyu-Text-Pro 或 Report-Max 生成带引用的答复。相比纯聊天接口，报告模型更易输出结构化章节，便于合规归档。",
+      "实施时建议按部门拆分知识库权限，并在网关侧记录检索命中片段 ID，以满足内控审计要求。",
+      "若与报告智能体联用，可将高频问答沉淀为场景模板，减少业务人员重复描述需求。",
+    ],
+  },
+];
+
+export function getNewsBySlug(slug: string): NewsArticle | undefined {
+  return newsArticles.find((a) => a.slug === slug);
+}
+
+export function getAllNewsSlugs(): string[] {
+  return newsArticles.map((a) => a.slug);
+}
+
+export function getHomeNewsPreview(count = 3): NewsArticle[] {
+  return newsArticles.slice(0, count);
+}

src/content/site.ts

@@ -0,0 +1,330 @@
+export const site = {
+  brand: "海宇数科",
+  tagline: "企业级大模型服务与智能报告平台",
+  brandAssets: {
+    logo: "/logo.png",
+    logoAlt: "海宇数科",
+    favicon: "/favicon.ico",
+    webManifest: "/site.webmanifest",
+  },
+  links: {
+    console: "https://console.haiyushuke.com",
+    customerService:
+      "https://work.weixin.qq.com/kfid/kfc1f8fc41acaca0895",
+  },
+  contact: {
+    eyebrow: "联系",
+    title: "联系我们",
+    lead: "产品咨询、技术支持与合作洽谈，可通过以下方式与我们联系。",
+    email: "main@haiyushuke.cn",
+    phoneDisplay: "+86 15018866168",
+    phoneTel: "+8615018866168",
+    customerServiceLabel: "在线客服",
+    business: {
+      title: "扫码咨询",
+      lead: "扫码加企微，一对一咨询 MCP 接入",
+      qrImage: "/contact/business-wechat-qr.png",
+      qrAlt: "企业微信商务洽谈二维码",
+      phoneLabel: "电话咨询",
+    },
+  },
+  nav: [
+    { label: "文档中心", href: "/docs" },
+    { label: "智能报告", href: "/reports" },
+    { label: "Agent 技能", href: "/agents" },
+    { label: "模型能力", href: "/models" },
+    { label: "企业方案", href: "/solutions" },
+    { label: "AI 资讯", href: "/news" },
+  ],
+  hero: {
+    eyebrow: "大模型服务",
+    title: "用智能报告与智能体，把数据变成可决策的洞察",
+    lead: "面向企业与团队的官方能力展示站点：多模型推理、自动化报告生成、可编排的报告智能体，以及持续更新的 AI 行业资讯。",
+    primaryCta: "控制台",
+    secondaryCta: "查看模型",
+    secondaryHref: "/models",
+  },
+  intelligentReport: {
+    eyebrow: "产品",
+    title: "大模型智能报告",
+    lead: "面向银行、投资、法务与采购等场景，智能体自动完成企业核验与多维尽调，输出带证据链的结构化报告，支持一键查看示例与导出分享。",
+    viewExampleLabel: "查看智能体报告示例",
+    reports: [
+      {
+        id: "kyb",
+        audience: "银行 / 金融机构",
+        title: "KYB 企业核验",
+        body: "贷款申请提交后，AI 自动核验申请方工商状态、34 类司法风险与关联方异常，识别问题主体立即触发复核标注，将人工尽调从 2 小时压缩至分钟级。",
+        example: {
+          title: "KYB 企业核验报告",
+          meta: "智能体输出 · 示例 · 申请主体：某科技有限公司",
+          sections: [
+            {
+              heading: "核验结论",
+              body: "主体存续正常；存在 2 项需复核风险信号，建议进入人工复核队列。",
+            },
+            {
+              heading: "工商与经营状态",
+              bullets: [
+                "统一社会信用代码登记状态：存续",
+                "法定代表人近 12 个月无变更",
+                "经营范围与贷款用途类别匹配",
+              ],
+            },
+            {
+              heading: "司法与信用风险（34 类扫描摘要）",
+              bullets: [
+                "无失信被执行人记录",
+                "关联企业 A 存在 1 条未结商事诉讼（标的 120 万）→ 已标注复核",
+                "无股权冻结、无限制高消费",
+              ],
+            },
+            {
+              heading: "关联方异常",
+              bullets: [
+                "实际控制人对外担任高管的企业 3 家，均非注销/吊销",
+                "1 家关联方近 90 天新增行政处罚 → 触发复核标注",
+              ],
+            },
+          ],
+        },
+      },
+      {
+        id: "ic-memo",
+        audience: "投资人 / FA",
+        title: "IC Memo 投资备忘录",
+        body: "DD 阶段一次对话，AI 并行完成股权穿透、司法诉讼、知识产权与招投标多维扫描，自动输出股权结构图 + 诉讼摘要 + 专利清单，直接用于 IC Memo 撰写。",
+        example: {
+          title: "IC Memo 尽调摘要",
+          meta: "智能体输出 · 示例 · 标的：某智能制造有限公司",
+          sections: [
+            {
+              heading: "股权结构（穿透摘要）",
+              bullets: [
+                "控股股东：创始团队持股平台 62%",
+                "机构股东：A 轮基金 28%，员工期权池 10%",
+                "无代持、无对赌条款在公开登记信息中披露",
+              ],
+            },
+            {
+              heading: "诉讼与合规",
+              body: "近 3 年作为被告案件 1 起（劳动争议，已结案）；无重大环保、安全生产处罚。",
+            },
+            {
+              heading: "知识产权",
+              bullets: [
+                "发明专利 14 项（其中 9 项已授权）",
+                "软件著作权 6 项",
+                "核心商标 3 件，均在有效期内",
+              ],
+            },
+            {
+              heading: "招投标与市场",
+              bullets: [
+                "近 12 个月中标金额合计约 4,200 万",
+                "主要客户行业：汽车零部件、工业自动化",
+              ],
+            },
+          ],
+        },
+      },
+      {
+        id: "contract",
+        audience: "法务 / 律师",
+        title: "合同核验",
+        body: "AI 审阅合同文本时同步核验合同双方工商状态、34 类司法风险，营业执照注销、被执行、股权冻结等异常立即生成高风险批注，防范与问题主体签约导致合同无效或履约失败。",
+        example: {
+          title: "合同双方核验批注",
+          meta: "智能体输出 · 示例 · 合同：软件采购框架协议",
+          sections: [
+            {
+              heading: "甲方（采购方）",
+              body: "工商存续正常；无司法高风险项。",
+            },
+            {
+              heading: "乙方（供应方）— 高风险批注",
+              bullets: [
+                "【高风险】登记状态为「注销」→ 建议暂停签署",
+                "【高风险】法定代表人被列入失信被执行人名单",
+                "【中风险】股权 30% 处于冻结状态",
+              ],
+            },
+            {
+              heading: "条款关联提示",
+              body: "第 3.2 条交付义务、第 8 条违约责任在乙方主体异常情况下履约风险极高，建议更换主体或要求母公司担保后再签。",
+            },
+          ],
+        },
+      },
+      {
+        id: "supplier",
+        audience: "采购 / 供应链",
+        title: "新供应商快速筛选",
+        body: "招投标评审前批量核验候选供应商，AI 同步扫描工商合规、失信被执行黑名单与资质证件真实性，3 分钟批量出筛查结论，在评审会召开前帮助采购团队锁定高风险候选方。",
+        example: {
+          title: "供应商批量筛查结果",
+          meta: "智能体输出 · 示例 · 批次：2025-Q2 设备采购 8 家候选",
+          sections: [
+            {
+              heading: "批次结论",
+              body: "建议进入短名单 4 家；建议剔除 2 家；待补充资质 2 家。",
+            },
+            {
+              heading: "高风险（建议剔除）",
+              bullets: [
+                "供应商 C：失信被执行人 + 经营异常名录",
+                "供应商 F：营业执照信息与投标文件不一致",
+              ],
+            },
+            {
+              heading: "通过项（节选）",
+              bullets: [
+                "供应商 A、B、D、H：工商、失信、资质证照交叉验证通过",
+                "供应商 G：ISO9001 证书链验证通过，有效期至 2026-08",
+              ],
+            },
+          ],
+        },
+      },
+    ],
+  },
+  reportAgent: {
+    eyebrow: "Skill",
+    title: "智能体技能一键安装",
+    lead: "为小龙虾等个人与团队智能体提供海宇数科官方 Skill 技能包：智能报告、尽调与核验能力一键挂载。安装通道即将开放，敬请期待。",
+    comingSoon: "敬请期待",
+    supportedAgents: ["小龙虾", "OpenClaw", "更多智能体"],
+    pillars: [
+      {
+        title: "面向主流 Agent",
+        body: "优先支持小龙虾等高频使用的对话智能体，后续扩展更多运行时与安装渠道。",
+      },
+      {
+        title: "官方 Skill 技能包",
+        body: "按场景封装工具调用、模板与模型路由，安装后即可在 Agent 内触发与官网一致的报告能力。",
+      },
+      {
+        title: "一键安装",
+        body: "规划为一键下发 Skill 配置与依赖说明；当前为展示与预约阶段，按钮仅作「敬请期待」提示。",
+      },
+    ],
+    installSteps: [
+      {
+        name: "选择智能体",
+        desc: "在支持列表中选中小龙虾或你的 Agent 运行时。",
+        screenTitle: "选择 Agent",
+        screenHint: "小龙虾 · 已连接",
+      },
+      {
+        name: "挑选 Skill",
+        desc: "浏览智能报告、KYB、合同核验等技能包与版本说明。",
+        screenTitle: "技能市场",
+        screenHint: "报告 Skill · 尽调 Skill",
+      },
+      {
+        name: "一键安装",
+        desc: "确认权限与配置后一键写入；功能即将开放。",
+        screenTitle: "敬请期待",
+        screenHint: "安装通道即将上线",
+      },
+    ],
+    capabilities: [
+      {
+        title: "智能报告 Skill",
+        body: "对接上方四类场景模板，在 Agent 对话中直接发起结构化报告任务。",
+      },
+      {
+        title: "尽调与核验 Skill",
+        body: "工商、司法、供应链等工具链预置，减少自行拼装 MCP / 插件的成本。",
+      },
+      {
+        title: "模型自动路由",
+        body: "按任务类型选用 Text-Pro、Report-Max 等模型，价格与上下文见模型广场。",
+      },
+      {
+        title: "版本与更新",
+        body: "Skill 包将支持 semver 更新说明；开放安装后可从官网获取变更日志。",
+      },
+    ],
+    primaryCta: "一键安装",
+    secondaryCta: "查看智能报告能力",
+    secondaryHref: "/reports",
+  },
+  models: {
+    eyebrow: "模型",
+    title: "超全模型库",
+    lead: "展示平台已上线模型；主推位与滚动名录来自后台目录，完整价格与筛选见模型广场。",
+    squareCta: "模型广场",
+    squareHref: "/models",
+  },
+  enterprise: {
+    eyebrow: "解决方案",
+    title: "企业数字化解决方案",
+    lead: "将大模型能力嵌入现有 ERP、数据中台与协同办公流程，而非替代既有系统。",
+    solutions: [
+      {
+        title: "经营分析中枢",
+        body: "统一指标口径，自动生成管理层看板与解读说明。",
+      },
+      {
+        title: "合规与风控助手",
+        body: "制度文档问答、合同要点提取与异常条款提示。",
+      },
+      {
+        title: "客户成功洞察",
+        body: "从工单与通话记录中提炼风险信号与续约建议。",
+      },
+    ],
+  },
+  news: {
+    eyebrow: "资讯",
+    title: "AI 新闻资讯",
+    lead: "精选行业动态、模型发布与产品实践，帮助团队保持对 AI 生态的同步认知。",
+    listHref: "/news",
+    previewCount: 4,
+  },
+  footer: {
+    columns: [
+      {
+        title: "产品",
+        links: [
+          { label: "智能报告", href: "/reports" },
+          { label: "Agent 技能", href: "/agents" },
+          { label: "模型能力", href: "/models" },
+          { label: "模型广场", href: "/models" },
+        ],
+      },
+      {
+        title: "方案",
+        links: [
+          { label: "企业数字化", href: "/solutions" },
+          { label: "控制台", href: "https://console.haiyushuke.com" },
+        ],
+      },
+      {
+        title: "资源",
+        links: [
+          { label: "AI 资讯", href: "/news" },
+          { label: "模型广场", href: "/models" },
+          { label: "服务状态", href: "#" },
+        ],
+      },
+      {
+        title: "联系",
+        links: [
+          { label: "在线客服", href: "https://work.weixin.qq.com/kfid/kfc1f8fc41acaca0895" },
+          { label: "main@haiyushuke.cn", href: "mailto:main@haiyushuke.cn" },
+          { label: "+86 15018866168", href: "tel:+8615018866168" },
+        ],
+      },
+    ],
+    friendLinks: [
+      { label: "天远API", href: "https://www.tianyuanapi.com" },
+      { label: "海宇数据", href: "https://www.haiyudata.com" },
+    ],
+    companyName: "海宇数科（广东横琴）科技有限公司",
+    legal: "© 2026 海宇数科（广东横琴）科技有限公司。保留所有权利。",
+    icp: "粤ICP备2026039543号-3",
+    icpHref: "https://beian.miit.gov.cn/",
+  },
+} as const;