Promptfoo is a comprehensive and robust platform designed to optimize, evaluate, and secure Language Learning Models (LLMs) for developers, data scientists, and enterprise teams. Here’s an overview of what the product does and its key features:
Purpose and Functionality
Promptfoo is engineered to facilitate the systematic and efficient evaluation of LLM output quality. It enables developers to test prompts, models, and Retrieval-Augmented Generation (RAG) setups against predefined test cases, helping identify the best-performing combinations for specific applications. This approach moves beyond the inefficiencies of trial-and-error, ensuring that LLM applications meet desired quality standards before deployment.
Key Features
Evaluation and Testing
- Side-by-Side Comparisons: Promptfoo allows for side-by-side comparisons of LLM outputs to detect quality variances and regressions.
- Automated Evaluations: It utilizes caching and concurrent testing to expedite evaluations and automatically scores outputs based on predefined expectations.
- Custom Metrics: Users can define their own metrics for evaluation, accommodating specific needs and requirements.
Integration and Compatibility
- Wide Range of LLM APIs: Promptfoo supports integrations with various popular LLM providers, including OpenAI, Anthropic, Azure, Google, HuggingFace, and open-source models like Llama.
- CI/CD Pipelines: It integrates seamlessly with CI/CD pipelines such as Jenkins, GitLab CI, and GitHub Actions, allowing for automated checks within existing workflows.
Security and Compliance
- Red Teaming and Vulnerability Scanning: Promptfoo includes features for red teaming and vulnerability scanning to secure LLM applications.
- Real-Time Alerts and Reporting: For enterprise users, it offers real-time alerts for detected vulnerabilities or performance issues, along with comprehensive reports and continuous monitoring of LLM security and compliance status.
Collaboration and Management
- Shared Repositories: It provides a shared team repository for prompts, model configurations, and red team test cases.
- Enterprise Support: Features include single sign-on, priority support with a 24-hour SLA, and a named account manager for enterprise customers.
Deployment Options
- On-Premise or Private Cloud: Promptfoo can be deployed within a company’s own infrastructure for maximum data security, ensuring that prompts and data never leave the network. An optional managed cloud service is also available.
Additional Capabilities
- Issue Tracking & Guided Remediation: Promptfoo helps track the progress of remediation efforts and provides suggested steps for each issue.
- Advanced Scanning: It offers advanced plugins for customizing the scanning process to fit an organization’s infrastructure and assists in creating custom plugins for specific AI architectures.
Philosophy and Benefits
Promptfoo is built on the philosophy of test-driven development for LLM applications, aiming to save time and ensure high-quality standards. It is developer-friendly, runs 100% locally to maintain privacy, and is flexible enough to work with any LLM API or programming language. The platform is also open-source and MIT licensed, with an active community contributing to its development.
In summary, Promptfoo is an essential tool for anyone working with LLMs, offering a robust set of features to optimize, evaluate, and secure AI applications efficiently and systematically.