Promptfoo: Local LLM evals and red teaming (github.com)

Promptfoo has announced the launch of a new developer-friendly tool designed to streamline the testing and evaluation of large language model (LLM) applications. This tool aims to enhance security and reliability, enabling developers to transition from a trial-and-error approach to confidently deploying AI applications. With features like automated prompt evaluations, side-by-side model comparisons, and red teaming for vulnerability scanning, Promptfoo empowers developers to ensure their LLM applications are both secure and effective. The tool supports various LLM APIs and can be integrated into CI/CD pipelines for comprehensive security and compliance checks. The significance of Promptfoo lies in its focus on local evaluations, ensuring that developers can test their models without sending prompts over the internet, thereby safeguarding sensitive data. It has been validated in production environments, supporting applications that serve over 10 million users. By providing a suite of features such as live reload, caching, and real-time security vulnerability reports, Promptfoo distinguishes itself as a robust solution for developers in the AI/ML community. Its open-source nature fosters collaboration and innovation, inviting contributions from an active community to constantly enhance its capabilities.