🚀 SpecGuard

📌 Overview

SpecGuard is a command-line tool that turns AI safety policies and behavioral guidelines into executable tests. Think of it as unit testing for your AI's output. Instead of trusting that your AI will follow the rules defined in a document, SpecGuard enforces them.

✨ Key Features & Architecture

• High-Performance Codebase: Built using Python and modern engineering principles.
• Modular & Scalable Design: Structured directory tree for seamless development and deployment.

🛠️ Tech Stack & Dependencies

• Core Language: Python
• Libraries & Tools: Python
• Deployment Infrastructure: Vercel Edge / Cloud Services

📁 Architecture & File Layout

SpecGuard/
├── .github
├── .github/ISSUE_TEMPLATE
├── .github/ISSUE_TEMPLATE/bug_report.md
├── .github/ISSUE_TEMPLATE/feature_request.md
├── .github/PULL_REQUEST_TEMPLATE.md
├── .github/workflows
├── .github/workflows/ci.yml
├── .gitignore
├── CODE_OF_CONDUCT.md
├── CONTRIBUTING.md
├── LICENSE
├── README.md
├── SECURITY_BENCHMARKS.md
├── outputs
├── outputs/loan.json
└── ... [additional codebase files]

🚀 Quickstart & Installation

Prerequisites

• Python 3.9+
• pip package manager

Setup Instructions

1. Clone the repository:

   git clone https://github.com/Tarunjit45/SpecGuard.git
   cd SpecGuard

2. Install dependencies:

   pip install -r requirements.txt

3. Execute application:

   python main.py

📜 Author & License

Architected & Developed by Tarunjit Biswas.
Distributed under the MIT License.