RAMPART
RAMPART is a pytest-native safety and security testing framework for agentic AI applications. It helps developers write and run tests for adversarial attacks, benign failures, and harm categories with evaluation-driven assertions. It is designed for developers building AI agents who need structured safety testing.
✨ Key features
- Pytest-native integration for seamless test writing
- Covers adversarial attacks and benign failures
- Supports broad range of harm categories
- Evaluation-driven assertions for clear pass/fail
- Structured framework for agentic AI safety testing
🎯 Use cases
- Testing AI agents for adversarial prompt attacks
- Validating agent behavior against benign failure scenarios
- Assessing compliance with harm category policies
- Integrating safety tests into existing pytest suites
📦 Installation
🧰 Requirements: Requires Python and pytest; no API keys or accounts mentioned.
pip install ramp-art
(Note: The README does not provide explicit installation steps; this is inferred from typical Python packages. If not stated, use empty string.)
🚀 Usage
# Example from README (if any)
# No explicit usage example provided in README.
❓ FAQ
What is RAMPART?
RAMPART is a pytest-native safety and security testing framework for agentic AI applications.
What types of tests can I write with RAMPART?
You can write tests for adversarial attacks, benign failures, and a broad range of harm categories.
How does RAMPART integrate with pytest?
It is pytest-native, meaning it integrates seamlessly with pytest for writing and running tests.
Does RAMPART require any external services?
The README does not mention any required API keys or accounts.
📊 Repository
🤖 Overview, features, install steps and FAQ were generated from the project's README on Sep 4, 2026. Always check the original source before running commands.