Promptfoo

What is Promptfoo?

Promptfoo is a powerful library designed for evaluating and testing Language Model Mathematics (LLM) prompts. It plays a crucial role in ensuring high-quality outputs from LLM models by offering automatic evaluations based on objective metrics. Users can create test cases, define custom evaluation metrics, and compare prompts and model outputs side by side within Promptfoo. The tool reduces subjectivity in prompt fine-tuning by allowing users to test prompts using a representative sample of user inputs. It also provides both a web viewer and a command line interface for user convenience. Promptfoo's popularity is evident in its widespread use by LLM applications serving over 10 million users, highlighting its trustworthiness and reliability within the LLM community .

Who created Promptfoo?

Promptfoo was launched on May 20, 2023. The company is based in San Mateo, California, and is supported by investors like Andreessen Horowitz and leaders in the technology and security sectors. The CEO and Co-founder of Promptfoo is Ian Webster, who previously led engineering teams at Discord. Michael D'Angelo, the CTO and Co-founder, brings extensive experience in AI and engineering leadership to the company.

Who is Promptfoo for?

• Data Scientist
• Machine learning engineer
• Software developer
• AI Researcher
• Product Manager
• Quality Assurance Engineer
• Technical writer
• Entrepreneur
• Marketing Analyst
• Education Professional

How to use Promptfoo?

To use Promptfoo effectively, follow these steps:

1. Accessing Promptfoo: Visit the Promptfoo website and explore the provided documentation to understand its features and functionalities.

2. Creating Test Cases: Utilize Promptfoo to create a list of test cases using a representative sample of user inputs. This step ensures thorough testing of your model under various conditions.

3. Selecting the Best Model and Prompt: Compare prompts and model outputs side by side using Promptfoo. This comparison allows you to select the best model and prompt for your specific needs.

4. Utilizing Built-in Metrics: Take advantage of the built-in evaluation metrics offered by Promptfoo during your model evaluation process. These metrics provide a basis for an initial evaluation.

5. Defining Custom Metrics: Customize your evaluation process by defining your own unique metrics within Promptfoo. This flexibility accommodates specific evaluation standards.

6. Integrating into Workflow: Promptfoo seamlessly integrates into your existing test or continuous integration (CI) workflow. This integration ensures consistent quality and testing of your Language Model Mathematics (LLM) prompts within your environment.

7. Exploring Viewer Options: Promptfoo offers both a web viewer and a command line interface. The web viewer provides flexibility in tool interaction, while the command line interface caters to users preferring a code-centric approach.

8. Getting Started: Begin your Promptfoo journey by following the guides provided on their website. These guides encompass a comprehensive introduction, instructions on command line usage, and details on node package usage.

By following these steps, you can effectively utilize Promptfoo for evaluating and testing LLM prompt quality to enhance your model outputs.