Worked on enhancing the inverse solving capabilities in the cvxpy-ipopt repository by delivering new features focused on robustness and flexibility. Developed the SolverInverseData class in Python to encapsulate inverse data and solver options, streamlining result handling for users. Extended the Reduction.invert() method with an accept_unknown option, enabling solutions to be returned even when the solver reports InsufficientProgress. Updated and expanded test coverage, particularly for Clarabel, to validate the new functionality and ensure stability across various solver statuses. Emphasized code quality by improving style and aligning default option handling with existing problem data management practices.