Worked on the langgenius/dify repository to enhance the end-to-end traceability and reliability of the LLM workflow. Developed a Prompt Management Enhancement that assigns a unique identifier to each prompt, enabling precise tracking, auditing, and analytics across multiple runs. Addressed a targeted bug in the LLM model related to message handling during prompt flow initialization, which improved overall system stability. Collaborated effectively with other contributors, demonstrating strong Git discipline through co-authored commits. Utilized React and TypeScript to implement these front end improvements, resulting in reduced debugging time, improved governance, and more scalable prompt orchestration within the LLM workflow.