Promptfoo: Advanced Testing and Red Teaming for LLMs, Agents, and RAGs Across GPT, Claude, Gemini, and Llama
Promptfoo offers a comprehensive solution for testing prompts, agents, and Retrieval-Augmented Generation (RAG) systems. It facilitates AI red teaming, penetration testing, and vulnerability scanning specifically designed for Large Language Models (LLMs). The platform allows for performance comparison across various leading LLMs, including GPT, Claude, Gemini, and Llama. With simple declarative configurations, Promptfoo integrates seamlessly with command-line interfaces and CI/CD pipelines, streamlining the evaluation process for AI applications.
Promptfoo provides a robust framework for evaluating and securing AI applications, focusing on prompts, agents, and RAG systems. Its core functionality includes AI red teaming, which involves simulating adversarial attacks to identify weaknesses, and penetration testing, to uncover vulnerabilities in LLM deployments. Furthermore, it offers vulnerability scanning capabilities tailored for Large Language Models. A key feature of Promptfoo is its ability to compare the performance of different LLMs, such as GPT, Claude, Gemini, and Llama, enabling developers to make informed decisions about which models best suit their needs. The system is designed for ease of use, utilizing simple declarative configurations that can be integrated directly into command-line workflows and continuous integration/continuous deployment (CI/CD) pipelines, ensuring efficient and automated testing processes.