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What is Promptfoo?

Promptfoo is an innovative open-source CLI and library designed to evaluate and secure large language model (LLM) applications effectively. With a strong user base exceeding 300,000 globally, it has evolved to become an integral part of the development workflow for teams aiming to enhance the security and reliability of AI interactions.

What can Promptfoo do?

Promptfoo enables users to conduct detailed evaluations, securing AI applications against vulnerabilities and improving prompt quality through systematic testing methodologies. Users can generate bespoke evaluations, ensuring that the application is fortified against various risks, including prompt injections, data leaks, and insecure tool usage. With features like customizable red teaming and automated security monitoring, Promptfoo tailors its offerings to meet the unique needs of developers, application security teams, and organizations.

Key Features

  • Red Teaming: Adaptive red teaming that generates thousands of context-aware attacks tailored to user specifications, probing for weaknesses in real-time using insights derived from a vast enthusiastic community of over 300,000 users.
  • Model Security: Offers solutions to evaluate the security aspects of AI models, ensuring they perform reliably in production environments, while also integrating seamlessly with existing CI/CD pipelines, GitHub, GitLab, Jenkins, and more.
  • Evaluations: Construct detailed assessments to gauge the performance of models, allowing for swift comparisons and analysis of outputs. Comprehensive assessments include continuous monitoring and actionable remediation guidance directly integrated into developer workflows.
  • Developer-Friendly: The tool utilizes a command-line interface that integrates seamlessly with existing development workflows, minimizing setup time and ensuring rapid iteration on prompt configurations.
  • Open-Source Flexibility: With full control and customization, users can deploy Promptfoo locally or in the cloud and utilize its capabilities across different development environments, including both cloud and on-premise settings.

Workflow and Philosophy

Promptfoo promotes a test-driven approach to prompt engineering. This entails defining evaluation test cases that accurately reflect core use cases and potential failure scenarios. Users create a configuration file with prompts and test cases, run evaluations via the command line, and engage in an iterative process of improvement based on user feedback and results analysis. This methodology ensures that Promptfoo integrates effectively at various stages of the software development lifecycle, from initial construction to ongoing optimization.

Why Choose Promptfoo?

One of the defining aspects of Promptfoo is its commitment to a developer-centric paradigm, which allows teams to implement AI security measures without compromising on usability or functionality. By supporting rapid iteration, users can define metrics and caching solutions that streamline evaluations, ensuring efficiency during the development process. Built around a foundation emphasizing security and usability, Promptfoo caters to a wide spectrum of applications—from enterprise-level projects to independent developers looking for robust solutions.

Users enjoy the added benefit of community support from an extensive network of developers, enhancing the tool's efficiency and expanding its feature set. Furthermore, Promptfoo guarantees privacy, as all assessments occur locally without requiring cloud storage or external access, making it ideal for sensitive applications. The tool also features unique remediation reports that provide direct feedback to developers, facilitating faster issue resolution and continuous improvement.

Getting Started

To begin using Promptfoo, developers can quickly install it via npm or other package managers, followed by setting up configurations to initiate their evaluations. The simplicity of getting started is matched by the depth of the tool's capabilities, making it an invaluable asset for any development team serious about AI security. With numerous examples, detailed documentation, and community-driven enhancements, getting up and running with Promptfoo is straightforward and efficient.

Pros & Cons

Pros

  • Generates customized attacks relevant to your industry or application.
  • Supports a wide range of AI models and APIs for flexible testing.
  • Offers quick setup with a command-line interface and no cloud dependencies.

Frequently Asked Questions

Promptfoo is free to start, with paid plans from 0 to 0 USD per Translation not found for 'time_period_unknown'.

According to our latest information, this tool does not seem to have a lifetime deal at the moment, unfortunately.

Promptfoo is designed to identify a wide array of vulnerabilities, including direct and indirect prompt injections, toxic content generation, data leaks, insecure tool usage, and unauthorized contract creation. By employing adaptive red teaming, it generates customized attacks tailored to your specific industry and application, helping you identify the risks that matter most to your setup.

Promptfoo offers flexible deployment options, allowing you to get started quickly through a command-line interface (CLI) or opt for managed cloud or on-premises enterprise solutions. You can run it locally without needing SDKs or cloud dependencies, allowing for seamless integration into your development workflow.

Yes, Promptfoo supports integration with over 50 AI models, including popular providers such as OpenAI, Anthropic, Google, and Hugging Face. You can also use local models or customize your API providers, making it easy to evaluate various models against your prompts and test cases.

To get started with Promptfoo evaluations, first, install the tool. You can then run a pre-built example using 'npx promptfoo@latest init-- example getting-started', which creates a directory with a configuration file and sample prompts. Customize the prompts and inputs as needed, and run the evaluation with 'npx promptfoo@latest eval' to review the results through the web viewer.

Promptfoo generates matrix views that allow you to compare outputs across multiple prompts and models efficiently. By defining metrics and utilizing assertions, it can automatically score outputs on a pass/fail basis, streamlining your process to evaluate model responses systematically instead of relying on manual reviews.

While Promptfoo is powerful, it does have limitations. The tool currently requires the user's attention to configure tests and set up the YAML files correctly. Additionally, some advanced features are only available to enterprise users, which may limit access for smaller teams or individual developers seeking full-scale functionality.

You can customize evaluations in Promptfoo by adjusting the configuration YAML file. This includes defining your prompts, specifying test cases with inputs and expected outputs, and setting up scoring criteria through assertions. The framework's flexibility allows you to tailor the testing process closely to your specific use cases and industry needs.

Promptfoo offers support primarily through its documentation and community forums. Users can access extensive resources on the official website, including FAQs, configuration guides, and example projects. For specific inquiries, particularly for enterprise users, you can reach out directly via email at support@promptfoo.dev.

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