optimas

Optimas is a framework designed for the end-to-end optimization of compound AI systems, utilizing Globally Aligned Local Reward Functions to enhance the performance of various components. It supports the generation of preference data, training of reward models, and optimization of system variables, making it applicable to molecular design and optimization tasks.