Promptfoo: LLM evals & red teaming

<a href="https://npmjs.com/package/promptfoo"></a> <a href="https://npmjs.com/package/promptfoo"></a> <a href="https://github.com/promptfoo/promptfoo/actions/workflows/main.yml"></a> <a href="https://github.com/promptfoo/promptfoo/blob/main/LICENSE"></a> <a href="https://discord.gg/promptfoo"></a> <code>promptfoo</code> is a CLI and library for evaluating and red-teaming LLM apps. Stop the trial-and-error approach - start shipping secure, reliable AI apps. <a href="https://www.promptfoo.dev">Website</a> · <a href="https://www.promptfoo.dev/docs/getting-started/">Getting Started</a> · <a href="https://www.promptfoo.dev/docs/red-team/">Red Teaming</a> · <a href="https://www.promptfoo.dev/docs/">Documentation</a> · <a href="https://discord.gg/promptfoo">Discord</a>

Promptfoo is now part of OpenAI. Promptfoo remains open source and MIT licensed. Read the company update.

Quick Start

npm install -g promptfoo
promptfoo init --example getting-started

Also available via brew install promptfoo and pip install promptfoo. You can also use npx promptfoo@latest to run any command without installing.

Most LLM providers require an API key. Set yours as an environment variable:

export OPENAI_API_KEY=sk-abc123

Once you're in the example directory, run an eval and view results:

cd getting-started
promptfoo eval
promptfoo view

See Getting Started (evals) or Red Teaming (vulnerability scanning) for more.

What can you do with Promptfoo?

Test your prompts and models with automated evaluations
Secure your LLM apps with red teaming and vulnerability scanning
Compare models side-by-side (OpenAI, Anthropic, Azure, Bedrock, Ollama, and more)
Automate checks in CI/CD
Review pull requests for LLM-related security and compliance issues with code scanning
Share results with your team

Here's what it looks like in action:

It works on the command line too:

It also can generate security vulnerability reports:

Why Promptfoo?

Developer-first: Fast, with features like live reload and caching
Private: LLM evals run 100% locally - your prompts never leave your machine
Flexible: Works with any LLM API or programming language
Battle-tested: Powers LLM apps serving 10M+ users in production
Data-driven: Make decisions based on metrics, not gut feel
Open source: MIT licensed, with an active community

Learn More

Contributing

We welcome contributions! Check out our contributing guide to get started.

Join our Discord community for help and discussion.