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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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