This project is a web-based user interface for interacting with large language models via API keys. It functions as an OpenAI API client and a general LLM web chat interface, allowing users to send prompts and receive responses through a private web portal. The application features a security layer with password-based access control to restrict public usage. It supports custom request routing and proxy configurations to bypass network restrictions, and it is available as a progressive web app for native-like installation on mobile devices. The interface includes rich text rendering for Markd
This project is a self-hosted, web-based interface designed for interacting with large language models. It provides a centralized dashboard that enables users to manage model communications, maintain persistent conversation histories, and organize prompt libraries within a private, containerized environment. The platform distinguishes itself through robust administrative and security controls, including support for enterprise identity providers, password-based access, and request rate limiting. It facilitates flexible connectivity by allowing users to configure custom network proxies, manage
Miniserve is an HTTP static file server that hosts local directories over the network with an integrated web-based file browser. It functions as a single-binary tool capable of serving as a markdown rendering server, a TLS-enabled web server for encrypted traffic, and a WebDAV file manager for remote file operations. The project distinguishes itself through specialized hosting modes, including a single page application mode that routes requests to a single index file and the ability to generate random hexadecimal access URLs to obscure served directories. It also provides the ability to conve
This project is an interactive coding tutorial platform and markdown-based course engine. It functions as a web-based education system that transforms markdown files into structured educational pages with integrated interfaces for writing and running code. The platform utilizes a remote code execution framework to validate user-submitted snippets in real time by integrating with external compilers and execution engines. To ensure consistent delivery across different hosting platforms, the entire learning environment is provided as a containerized deployment. The system covers a broad capabil