Langfuse Docs
Langfuse documentation -- Langfuse is the open source LLM Engineering Platform. Observability, evals, prompt management, playground and metrics to debug and improve LLM apps
Overview
The documentation platform for LangFuse is designed to facilitate easy contributions and streamline the experience for developers aiming to enhance the documentation. Built on Nextra, the setup allows for seamless interaction through GitHub Codespaces and local installations. This documentation structure is particularly beneficial for those who wish to engage with both Python and JavaScript/TypeScript environments, providing a blend of tools and features that encourage participation and collaboration.
With a focus on accessibility, the documentation site incorporates innovative features to ensure that users can readily engage with the content using modern AI tools. From Jupyter notebooks to Markdown exports, there is an emphasis on flexibility and user-friendliness that appeals to developers at any level.
Features
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GitHub Codespaces Integration: Easily contribute to the documentation using GitHub Codespaces; just click "Code" and select "Open with Codespaces" for an instant setup with dependencies pre-installed.
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Local Development Setup: Pre-requisites include Node.js 22 and pnpm v9.5.0; simply run
pnpm ito install dependencies andpnpm devto start the development server. -
Dynamic Jupyter Notebooks: All Jupyter notebooks are contained in the
cookbook/directory, allowing users to write in a familiar environment with easy conversion to markdown for documentation. -
Advanced Media Management: Store images in the
public/images/directory and leverage Cloudflare R2 for videos; effectively embed high-quality media without large file sizes. -
Markdown Accessibility: Utilize Markdown URL endpoints by appending
.mdto any documentation URL, granting users access to raw markdown files for easy sharing or copying. -
"Copy as Markdown" Feature: A convenient button on documentation pages allows users to quickly copy markdown content to the clipboard, facilitating easy pasting into AI tools like ChatGPT.
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PDF Exporting Options: Convert documentation to PDF format using an API endpoint, allowing for versatile document distribution, particularly useful for legal documents.
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Model Context Protocol Server: Enhances user experience with tools for searching and retrieving documentation pages via a dedicated MCP server, streamlining access to information.
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