This repository provides a Flask-based API for managing and invoking plugins. The API dynamically loads plugin manifests and exposes endpoints to retrieve plugin details and invoke them. It's designed for flexibility, allowing different types of plugins to be integrated into the application through a caching mechanism.

A practical demo repository showing how QA teams can use VS Code, AI assistants, and reusable tools to turn requirements into structured test scenarios and executable workflows. It demonstrates an AI-assisted testing process where deterministic tools handle execution while the model focuses on analysis, planning, and documentation.