vercel__components.build/lib/geistdocs/source.ts

import { type InferPageType, loader } from "fumadocs-core/source";
import { lucideIconsPlugin } from "fumadocs-core/source/lucide-icons";
import { docs } from "@/.source/server";
import { basePath } from "@/geistdocs";
import { i18n } from "./i18n";

// See https://fumadocs.dev/docs/headless/source-api for more info
export const source = loader({
  i18n,
  baseUrl: "/",
  source: docs.toFumadocsSource(),
  plugins: [lucideIconsPlugin()],
});

export const getPageImage = (page: InferPageType<typeof source>) => {
  const segments = [...page.slugs, "image.png"];

  return {
    segments,
    url: basePath
      ? `${basePath}/og/${segments.join("/")}`
      : `/og/${segments.join("/")}`,
  };
};

export const getLLMText = async (page: InferPageType<typeof source>) => {
  const processed = await page.data.getText("processed");
  const { title, description, product, type, summary, prerequisites, related } =
    page.data;

  const frontmatter = [
    "---",
    `title: ${title}`,
    description && `description: ${description}`,
    product && `product: ${product}`,
    type && `type: ${type}`,
    summary && `summary: ${summary}`,
    prerequisites?.length &&
      `prerequisites:\n${prerequisites.map((p) => `  - ${p}`).join("\n")}`,
    related?.length &&
      `related:\n${related.map((r) => `  - ${r}`).join("\n")}`,
    "---",
  ]
    .filter(Boolean)
    .join("\n");

  return `${frontmatter}

# ${title}

${processed}`;
};