Worked on enhancing error handling within the langchain-ai/langchain core library, focusing on improving the reliability and clarity of module import failures. Addressed a bug in the core import utilities by ensuring that the original ModuleNotFoundError context is preserved when ImportError is raised, rather than masking it. This adjustment, implemented in Python, improved debuggability by providing clearer exception traces and reducing noise in error reporting. The work centered on debugging and error handling, with no changes to the public API, resulting in a low-risk update that streamlines the diagnosis of module resolution issues for developers and support teams working with LangChain.