Zoey Yx developed a token counting logic optimization for the FoundationAgents/OpenManus repository, focusing on improving the efficiency and accuracy of token calculations based on image dimensions and detail level. She approached the problem by refactoring the existing Python code, simplifying logic paths, and removing redundant comments to enhance maintainability and readability. Her work ensured that default token calculations were handled efficiently, directly contributing to reduced processing time and better cost control in downstream workflows. By emphasizing code cleanup and performance optimization, Zoey demonstrated strong skills in Python and code refactoring, delivering a targeted feature with clear, maintainable engineering depth.