Promptfoo

What is Promptfoo?

Promptfoo is a really useful library for checking and testing prompts you use with Language Model Mathematics (LLM) models. It is a quality control tool for your AI prompts. It helps make sure you’re getting the best possible results from your LLMs by running automatic evaluations based on clear, objective measurements. You can set up your own test cases, create specific ways to measure how well prompts are doing, and then easily compare different prompts and what the models say side-by-side. This helps take the guesswork out of tweaking your prompts, letting you test them with a good mix of real-world user inputs. It’s pretty popular too – LLM applications serving over 10 million users rely on it, which really speaks to how much people trust it in the LLM world.

Who created Promptfoo?

Promptfoo got its start on May 20, 2023. The company is based out in San Mateo, California, and has backing from investors like Andreessen Horowitz, along with leaders from the tech and security industries. Ian Webster is the CEO and Co-founder; he used to lead engineering teams over at Discord. Michael D’Angelo, the CTO and Co-founder, brings a ton of experience in AI and leading engineering efforts to the table.

Who is Promptfoo for?

• Data Scientists
• Machine learning engineers
• Software developers
• AI Researchers
• Product Managers
• Quality Assurance Engineers
• Technical writers
• Entrepreneurs
• Marketing Analysts
• Education Professionals

How to use Promptfoo?

Here’s a straightforward way to get the most out of Promptfoo:

1. Check out Promptfoo: Start by visiting the Promptfoo website. Take a look at the documentation they provide; it’s a great way to get a feel for what it can do and how it works.
2. Create your tests: Use Promptfoo to build a list of test cases. It’s best to use a good variety of typical user inputs here. This ensures you’re really putting your model through its paces under different conditions.
3. Pick the best model and prompt: Promptfoo lets you compare prompts and what the models output side-by-side. This makes it much easier to figure out which prompt and model combination works best for what you need.
4. Use the built-in checks: Promptfoo comes with pre-set evaluation metrics. These are super helpful for getting an initial idea of how your prompts are performing.
5. Make your own checks: Want to measure things in a specific way? You can easily define your own custom metrics within Promptfoo. This gives you the flexibility to meet your unique evaluation needs.
6. Fit it into your workflow: Promptfoo is designed to fit right into your existing testing or continuous integration (CI) setup. This means you can keep a consistent eye on quality and testing for your LLM prompts without a lot of extra hassle.
7. Explore how you want to view things: Promptfoo offers two main ways to interact: a web viewer and a command line interface. The web viewer is great if you like a visual approach, while the command line interface is perfect for those who prefer working with code.
8. Get started easily: Ready to dive in? The Promptfoo website has guides to help you get going. You’ll find everything from a general introduction to specific instructions for using the command line and node packages.

By following these steps, you can really make Promptfoo work for you, helping you test and improve the quality of your LLM prompts for better model outputs.