Worked on the kvcache-ai/sglang repository to address a critical reliability issue in backend detokenization processes. Focused on Python-based backend development, the contribution involved enhancing the DetokenizerManager to introduce a fallback mechanism for cases where batch decode options differ. This technical approach ensures that decoding remains robust across varying configurations, directly reducing the risk of decoding failures in production, particularly within function_call flows. The solution was implemented with clear, isolated changes and thorough documentation, reflecting a methodical engineering process. By prioritizing reliability and maintainability, the work improved user experience and operational stability without introducing new features during the period.