
llamator
Framework for testing vulnerabilities of large language models (LLM).
Stars: 57

LLAMATOR is a Red Teaming python-framework designed for testing chatbots and LLM-systems. It provides support for custom attacks, a wide range of attacks on RAG/Agent/Prompt in English and Russian, custom configuration of chat clients, history of attack requests and responses in Excel and CSV format, and test report document generation in DOCX format. The tool is classified under OWASP for Prompt Injection, Prompt Leakage, and Misinformation. It is supported by AI Security Lab ITMO, Raft Security, and AI Talent Hub.
README:
Red Teaming python-framework for testing chatbots and LLM-systems
pip install llamator==2.0.1
Documentation Link: https://romiconez.github.io/llamator
- 📄 RAG bot testing via REST API
- 🧙♂️ Gandalf web bot testing via Selenium
- 💬 Telegram bot testing via Telethon
- 📱 WhatsApp bot testing via Selenium
- 🔗 LangChain client testing with custom attack
- 🌐 All LangChain clients
- 🧠 OpenAI-like API
- ⚙️ Custom Class (Telegram, WhatsApp, Selenium, etc.)
- ️🗡 Support for custom attacks from the user
- 👜 Large selection of attacks on RAG / Agent / Prompt in English and Russian
- 🛡 Custom configuration of chat clients
- 📊 History of attack requests and responses in Excel and CSV format
- 📄 Test report document in DOCX format
© Roman Neronov, Timur Nizamov, Nikita Ivanov
This project is licensed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license. See the LICENSE file for details.
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