What is Promptfoo?
In today’s rapidly evolving digital landscape, securing AI applications has become paramount. promptfoo emerges as a leading solution for developers, enabling them to conduct thorough security evaluations and red teaming for their LLM (Large Language Model) applications. With over 40,000 developers leveraging its capabilities, promptfoo offers a streamlined approach to identifying vulnerabilities, enhancing output quality, and safeguarding against regressions across generative AI models.
What are the features of Promptfoo?
Automated Red Teaming
One of the standout features of promptfoo is its automated red teaming capability for generative AI. Developers can run custom scans that adapt dynamically to their applications, uncovering potential security risks such as PII leaks, harmful content creation, insecure tool use, and jailbreak vulnerabilities. This proactive feature ensures that applications are tested against real-world scenarios, allowing developers to patch vulnerabilities before they become critical.
Quality Evaluations
Before deployment, ensuring the quality of outputs is essential. promptfoo allows developers to conduct comprehensive evaluations, examining the factuality and relevance of the model's responses. Built with customizable frameworks, it targets specific use cases, enabling developers to tailor tests according to their application's purpose.
Simple Configuration
Configuring tests is made easy through a straightforward declarative setup. Using YAML, developers can quickly define their test cases, specifying endpoints, request methods, headers, and payloads. This streamlined process makes it accessible even for those with minimal coding experience.
Continuous Monitoring
To ensure long-term security, promptfoo includes a feature for continuous monitoring. This capability allows developers to regularly assess their applications for new vulnerabilities, providing peace of mind that they remain secure against evolving threats.
What are the characteristics of Promptfoo?
Open Source and Community-Driven
promptfoo is completely open source, fostering a community of active contributors who continuously enhance the tool. This transparency not only encourages collaboration but also provides users with the flexibility to adapt and customize the software according to their needs.
No SDKs or Cloud Dependencies
Flexibility is a key characteristic of promptfoo, as it operates without the necessity of SDKs, cloud dependencies, or complicated login processes. Developers can quickly implement the tool into their workflow without any barriers, facilitating immediate and effective testing of their applications.
Live Reloads and Caching
To improve development speed, promptfoo offers live reloads and caching, allowing for real-time updates and quicker iterations during the testing process. This time-saving feature enables developers to focus on enhancing their LLM applications' overall quality.
What are the use cases of Promptfoo?
Web Applications
Businesses deploying generative AI applications on their websites can use promptfoo to identify vulnerabilities, ensuring that user interactions remain secure and data privacy is maintained. It helps in protecting against potential threats that could compromise user trust.
Medical and Legal Tools
With the rise of AI in specialized fields like medicine and law, ensuring the accuracy and safety of generated content is crucial. promptfoo can evaluate these applications to prevent the dissemination of harmful or incorrect advice, safeguarding user interests while complying with industry regulations.
E-commerce Platforms
E-commerce businesses using AI to enhance customer interaction can utilize promptfoo to ensure that their recommendations and chatbot interactions do not lead to misleading or harmful content. This helps in protecting the brand image while fostering customer trust.
How to use Promptfoo?
Getting started with promptfoo is simple. Developers can install the tool via npm by running the command npx promptfoo@latest
. Once installed, they can initiate custom scans by executing promptfoo redteam init
, which guides them through the configuration process to tailor tests specifically for their application needs.
For ongoing usage, developers are encouraged to set up continuous monitoring to ensure that any new vulnerabilities are identified as their applications evolve. By regularly running evaluations and red team scans, they can maintain high security and quality standards over time.