Prerequisites
- Python 3.11+
Installation
Quick Start Guide
1. Environment Setup
1. Environment Setup
2. Basic Implementation
2. Basic Implementation
3. View Results
3. View Results
Results Visualization
- Success Rates
- Token Usage
- Cost Analysis
The success rates visualization shows the effectiveness of different attack vectors against the target LLM model. Higher percentages indicate more successful prompt injection attempts, helping identify potential vulnerabilities in the model’s response patterns.
Contributing
Fork Repository
Start by forking the repository
Make Changes
Implement your features or fixes
Submit PR
Create a pull request for review
Support & Community
Discord Community
Join our Discord server for discussions and support
GitHub Issues
Report bugs and request features on GitHub