llmfood is a powerful tool designed to streamline the conversion of Docusaurus HTML builds into clean, LLM-friendly Markdown files, adhering to the llms.txt convention. This functionality is essential for developers looking to optimize their documentation for Large Language Model (LLM) consumption.

Key Features

• Automatic Page Discovery: llmfood scans through the Docusaurus build directory to identify and process all HTML pages, ensuring comprehensive documentation coverage.
• Client-Side Content Resolution: It effectively resolves client-side content discrepancies that may appear within static HTML files. This includes enhancing GitHub code references, fetching remote content, and integrating Mermaid diagrams within the output.
• HTML to Markdown Conversion: Each detected HTML page is transformed into Markdown, stripping away unnecessary Docusaurus elements such as breadcrumbs, pagination, and footers, producing streamlined documents for further use.
• Structured Index Generation: The tool automatically creates an llms.txt file — a structured index that links to all converted Markdown files, facilitating easy navigation.
• Custom File Creation: Users can specify custom aggregated Markdown files, such as llms-full.txt, that compile documentation according to user-defined URL patterns.

Installation and Usage

To integrate llmfood into a Docusaurus project, it is recommended to add it as a plugin for seamless operation. The plugin automatically executes following the docusaurus build command. Here is an example configuration:

// docusaurus.config.js  
module.exports = {  
  plugins: [  
    [  
      "llmfood/docusaurus",  
      {  
        sectionOrder: ["guides", "api", "concepts"],  
        sectionLabels: { guides: "Guides", api: "API Reference" },  
        customFiles: [  
          {  
            filename: "llms-full.txt",  
            title: "Full Documentation",  
            description: "Complete documentation in a single file",  
            includePatterns: [/.*/],  
          },  
        ],  
      },  
    ],  
  ],  
};  

For standalone usage, llmfood can also be instantiated directly by importing the main function and specifying configuration options, as shown below:

import { generateLlmsMarkdown } from "llmfood";  
await generateLlmsMarkdown({  
  baseUrl: "https://docs.example.com",  
  buildDir: "./build",  
  siteTitle: "My Docs",  
  siteDescription: "Documentation for my project",  
  docsDir: "./docs",  
  sectionOrder: ["guides", "api", "concepts"],  
  sectionLabels: { guides: "Guides", api: "API Reference" },  
  ignorePatterns: [/\/blog\/],  
  customFiles: [  
    {  
      filename: "llms-full.txt",  
      title: "Full Documentation",  
      description: "Complete documentation in a single file",  
      includePatterns: [/.*/],  
    },  
  ],  
});  

Additionally, llmfood offers the option to convert raw HTML strings to Markdown directly, enabling integration into existing workflows:

import { htmlToMarkdown } from "llmfood";  
const markdown = htmlToMarkdown(docusaurusHtmlString);  

Supported Elements

llmfood is capable of handling various Docusaurus-specific elements such as code blocks, admonitions, tabs, and more, preserving their structure during the conversion process. This includes support for:

• Prism code blocks
• KaTeX math
• YouTube embeds
• Mermaid diagrams

In summary, llmfood not only enhances the documentation process by converting and optimizing Docusaurus builds but also ensures that important client-side content is properly managed, resulting in a well-structured, easy-to-consume Markdown output.