The promptfoo repository (promptfoo/promptfoo) focuses on: Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command line and CI/CD integration. Used by OpenAI and Anthropic.. It belongs in this directory only insofar as it supports retrieval-augmented generation, evaluation and observability, security and compliance automation, workflow automation in AI products, agent systems, or developer tooling.
GitHub repository
https://github.com/promptfoo/promptfooLicense
MIT
Stars
24,543
Homepage
https://promptfoo.dev/This is an independent tool overview. Check the project repository for current releases, compatibility, and installation requirements.
Features
- Maintainer description for promptfoo: Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command line and CI/CD integration. Used by OpenAI and Anthropic.
- promptfoo is relevant for assessing security checks, risk detection, or compliance automation.
- promptfoo helps evaluate coordination, planning, or task-decomposition patterns in agent systems.
- promptfoo supports investigation of retrieval, embedding, or knowledge-grounded application flows.
- promptfoo lists MIT license metadata; review obligations before redistribution or hosted use.
- promptfoo has about 21,538 GitHub stars in the local metadata snapshot.
Use Cases
- Use promptfoo when the need is security and compliance workflows and the repo summary matches: Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for...
- Compare promptfoo's implementation approach before committing to an internal build.
- Use promptfoo to review security automation ideas against a working repository.
- Use promptfoo to test agent coordination patterns with a concrete open-source codebase.
- Use promptfoo to prototype retrieval-backed knowledge features using the repository direction.
- Complete a MIT license review before packaging promptfoo into a commercial or hosted workflow.
FAQ
Start from the repository summary (Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command line and CI/CD integration. Used by OpenAI and Anthropic.), then verify maintenance status, integration boundaries, and whether its security and compliance workflows, agent orchestration, retrieval and knowledge workflows focus matches the intended workflow. Repository: https://github.com/promptfoo/promptfoo. Stars: about 21,538. License: MIT.
promptfoo is best treated as a repository-level component or reference implementation for security and compliance workflows, agent orchestration, retrieval and knowledge workflows. Good evaluation scenarios include: Use promptfoo when the need is security and compliance workflows and the repo summary matches: Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for... Compare promptfoo's implementation approach before committing to an internal build. Use promptfoo to review security automation ideas against a working repository.
