Promptfoo: LLM evals & red teaming

<p align="center"> <a href="https://npmjs.com/package/promptfoo"><img src="https://img.shields.io/npm/v/promptfoo" alt="npm"></a> <a href="https://npmjs.com/package/promptfoo"><img src="https://img.shields.io/npm/dm/promptfoo" alt="npm"></a> <a href="https://github.com/promptfoo/promptfoo/actions/workflows/main.yml"><img src="https://img.shields.io/github/actions/workflow/status/promptfoo/promptfoo/main.yml" alt="GitHub Workflow Status"></a> <a href="https://github.com/promptfoo/promptfoo/blob/main/LICENSE"><img src="https://img.shields.io/github/license/promptfoo/promptfoo" alt="MIT license"></a> <a href="https://discord.gg/promptfoo"><img src="https://img.shields.io/discord/1146610656779440188?logo=discord&label=promptfoo" alt="Discord"></a> </p> <p align="center"> <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. </p> <p align="center"> <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> </p>

Update (March 16, 2026): Promptfoo has joined 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:

<img src="site/static/img/claude-vs-gpt-example@2x.png" alt="prompt evaluation matrix - web viewer" width="700">

It works on the command line too:

<img src="https://www.promptfoo.dev/img/docs/self-grading.gif" alt="promptfoo command line" width="700">

It also can generate security vulnerability reports:

<img src="https://www.promptfoo.dev/img/redteam-dashboard@2x.jpg" alt="gen ai red team" width="700">

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

• Getting Started
• Full Documentation
• Red Teaming Guide
• CLI Usage
• Node.js Package
• Supported Models
• Code Scanning Guide

Contributing

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

Join our Discord community for help and discussion.

<a href="https://github.com/promptfoo/promptfoo/graphs/contributors"> <img src="https://contrib.rocks/image?repo=promptfoo/promptfoo" /> </a>