Developed robust data loading and input validation enhancements for the Smithsonian/layup repository, focusing on the orbitfit workflow. The work introduced support for multiple observation data formats, including MPC80col, ADES_csv, ADES_psv, ADES_xml, and ADES_hdf5, enabling versatile data ingestion. Implemented real-time feedback during loading and comprehensive error handling to streamline troubleshooting and reduce workflow interruptions. Added checks for existing output files to prevent accidental data overwrites and ensure data integrity. Leveraged Python for command line interface development, file I/O, and multi-format parsing, laying a foundation for future extensibility and improving the reliability of orbitfit data processing.