Promptim: an experimental library for prompt optimization

Promptim is an experimental open-source library designed to automate the process of improving prompts in AI systems. It integrates with LangSmith for dataset management, prompt management, and tracking results. The core algorithm involves defining a dataset, initial prompt, and evaluators, then running an optimization loop that iteratively suggests changes to the prompt based on evaluation metrics. Promptim aims to save time, bring rigor to prompt engineering, and facilitate swapping between models. Limitations include the need for human input in some cases, but overall, it offers a promising approach to optimizing AI prompts.