🚀 PromptGuard

📌 Overview

PromptGuard is a pragmatic, opinionated framework for establishing continuous integration for LLM behavior. It operates on a simple, verifiable principle: run the same prompts across multiple model configurations, compare outputs against defined expectations, and flag semantic regressions.

✨ 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

PromptGuard/
├── .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
├── CODE_OF_CONDUCT.md
├── CONTRIBUTING.md
├── LICENSE
├── README.md
├── __init__.py
├── __pycache__
├── __pycache__/__init__.cpython-312.pyc
├── __pycache__/cli.cpython-312.pyc
└── ... [additional codebase files]

🚀 Quickstart & Installation

Prerequisites

• Python 3.9+
• pip package manager

Setup Instructions

1. Clone the repository:

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

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.