This repository contains the documentation for AI-VERDE (AI Virtual Explorer for Research, Discovery, and Education), an open source platform that facilitates access to commercial and on-premise LLMs with budget and access controls.
AI-VERDE provides educational institutions with a managed interface to large language models, offering:
- Budget controls and usage monitoring
- User access management
- Integration with institutional authentication
- Support for multiple LLM providers
This documentation repository serves both end users and API developers with comprehensive guides and examples.
- AI-VERDE Chat: User guides for the web-based chat interface
- AI-VERDE API: Guides for obtaining an API key and listing models, plus integration guides for AWS Bedrock models (Claude Code, Claude Code for VS Code), Python libraries (LangChain, LlamaIndex, Anthropic Python SDK), CLI coding assistants (Claude Code, Codex, OpenCode, Aider, Claude Code Router), IDEs (Claude Code for VS Code, Codex for VS Code), and desktop clients (Chatbox AI)
- For Instructors: Course creation and management guides
This documentation is built with Zensical. To contribute:
- Install dependencies:
pip install -r requirements.txt - Run locally:
zensical serve - Edit Markdown files in the
docs/directory - Add new pages to the navigation in
zensical.toml - Place images in
docs/assets/ - Build the site:
zensical build --clean --strict
The GitHub Actions workflow publishes the generated site to the gh-pages branch when changes are pushed to main.
The documentation is designed for university/educational environments and assumes institutional authentication systems. Examples and screenshots reflect this educational context.