An Open-Source Red Teaming Framework for Large Language Models (LLMs) and Vision-Language Models (VLMs)
Project description
OpenRT is a comprehensive framework for red teaming LLMs and VLMs with 30+ attack methods.
Features:
- 30+ attack methods (black-box and white-box)
- Multi-modal support (text and image attacks)
- Modular plugin architecture
- Configuration-driven experiments
- Multiple evaluation strategies
- Registry-based component loading
The framework follows a modular design with:
- Attack implementations (AutoDAN, GeneticAttack, DeepInception, etc.)
- Model integrations (OpenAI API, custom base_url support)
- Dataset handlers (StaticDataset, JSONLDataset)
- Evaluators (KeywordEvaluator, LLMEvaluator)
- Strategy patterns (Advancers, Propagators, Judges)
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