promptfoo is a developer-friendly local tool for testing LLM applications. Stop the trial-and-error approach - start shipping secure, reliable AI apps.

Website · Getting Started · Red Teaming · Documentation · Discord

# Install and initialize project
npx promptfoo@latest init
# Run your first evaluation
npx promptfoo eval

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
• 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: Runs 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

If you find promptfoo useful, please star it on GitHub! Stars help the project grow and ensure you stay updated on new releases and features.

• 📚 Full Documentation
• 🔐 Red Teaming Guide
• 🎯 Getting Started
• 💻 CLI Usage
• 📦 Node.js Package
• 🤖 Supported Models

Our docs include a llms.txt and llms-full.txt files following the llms.txt specification. These files make our documentation more accessible to AI-powered development tools and assistants.

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

Join our Discord community for help and discussion.