Worked on the volcengine/verl repository to enhance module management and dependency handling in Python. Focused on stabilizing import behavior by implementing a lazy-import optimization for vision-related utilities, which deferred the import of qwen_vl_utils until vision-specific functions were called. This approach reduced unnecessary dependency requirements, preventing ModuleNotFoundError when vision features were not in use and improving environment compatibility. The solution aligned with existing patterns in the RL dataset code path, ensuring consistency across the project. Manual validation confirmed that trainer modules could be imported without optional dependencies, supporting maintainability and preparing the codebase for future feature integrations without API changes.