Designed for Language Model Mathematics (LLM) prompt testing and evaluation.
Promptfoo is a JavaScript library designed to assess the effectiveness of Language Model Mathematics (LLM) prompts. It enables users to test, enhance, and objectively compare LLM prompts to optimize model outputs.
Facilitate the creation of test cases using representative user inputs, reducing subjectivity in prompt fine-tuning.
Enable users to customize evaluation metrics to align with specific requirements, providing flexibility in prompt evaluation.
Provide users with the ability to compare prompts and model outputs side-by-side, aiding in prompt and model selection.
Seamlessly integrate into existing testing or continuous integration (CI) workflows for smooth and efficient evaluation processes.
Offer both a web viewer and a command-line interface (CLI) to cater to diverse user preferences and needs.
Trusted by LLM applications serving over 10 million users, demonstrating reliability and popularity within the LLM community.
Rigorous prompt assessments enhance model outputs, ensuring optimal performance.
Tailor evaluation metrics to specific objectives, providing targeted insights into prompt effectiveness.
Eliminate subjectivity in prompt and model selection through objective comparisons and data-driven analysis.
Effortless integration into existing workflows streamlines the evaluation process, saving time and resources.
Choose between a web viewer or command-line interface for convenient and efficient use.
May require technical expertise to fully utilize its capabilities.
Promptfoo is a comprehensive tool for LLM prompt testing and enhancement. It empowers users to create test cases, customize evaluation metrics, compare prompts and models, and integrate seamlessly into their workflows. Trusted by a substantial user base, Promptfoo enables objective decision-making and the optimization of prompt quality for superior model outputs.
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