Worked on enhancing reliability and performance in data processing and embedding workflows for the langgenius/dify and langgenius/dify-official-plugins repositories. Focused on backend development using Python and YAML, addressing issues in segment creation and indexing to ensure data integrity even when attachment identifiers were missing. Improved workflow execution by refining lifecycle management and adding unit tests for skip propagator logic, reducing the risk of premature completion. In the official plugins, fixed bugs in the Tongyi text embedding model, introduced support for vision processing, and implemented caching to accelerate multimodal embeddings. Emphasized robust error handling and workflow management throughout the process.