@promptfoo/promptfoo-evals
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Promptfoo: LLM evals & red teaming
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<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.
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<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>
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Promptfoo is now part of OpenAI. Promptfoo remains open source and MIT licensed. Read the company update.
Quick Start
Requires Node.js ^20.20.0 or >=22.22.0 for npm and npx usage.
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/[email protected]" 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/[email protected]" 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>
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Analyzing security...
Checking scan reports and verification data.
Bill of Materials
Everything this skill can do — files, network, commands, and more.