promptfoo is a CLI and library for evaluating and red-teaming LLM apps. Stop the trial-and-error approach - start shipping secure, reliable AI apps.

Website · Getting Started · Red Teaming · Documentation · Discord

Update (March 16, 2026): Promptfoo has joined OpenAI. Promptfoo remains open source and MIT licensed. Read the company update.

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.

• 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:

• 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

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

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

Join our Discord community for help and discussion.