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Promptfoo is an essential library designed to test and improve the effectiveness of Language Model Mathematics (LLM) prompts. With robust tools for assessing prompt quality and model output, it leads to superior AI application results. By enabling objective evaluations and comparisons, Promptfoo empowers users to fine-tune their prompts effectively, ensuring optimal performance in various contexts.

Key Features
Minimize subjectivity with detailed test cases using representative user inputs.
Choose from built-in options or define custom metrics for tailored assessments.
Easily compare prompts and model outputs side-by-side.
Seamlessly integrate Promptfoo into existing testing or CI workflows.
Use either a web viewer or a command-line interface for accessibility and convenience.

Price
Promptfoo offers competitive pricing options to fit various user needs. Please refer to the Promptfoo website for the most accurate and current pricing details and service offerings.

Best For
AI developers focusing on prompt improvement
Data scientists testing LLM outputs
Teams implementing continuous integration workflows
Organizations seeking reliable LLM testing tools
Users needing objective prompt evaluation methods

What We Like
Comprehensive test case creation capabilities
Customizable evaluation metrics for specific needs
User-friendly interface options for diverse preferences
Integration capabilities for existing workflows
High reliability backed by a large user base

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FAQs

Q What is Promptfoo

Promptfoo is a library designed to test and enhance the effectiveness of LLM prompts through various evaluation tools.

Q How can I create test cases

Users can create test cases by utilizing representative samples of user inputs, reducing subjectivity in evaluations.

Q Does Promptfoo support custom metrics?

Yes, users can define custom evaluation metrics to align with their specific objectives and requirements.

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