Worked on enhancing the robustness of OpenAI model parsing within the agentscope-ai/agentscope repository, focusing on the vLLM reasoning field. Addressed a compatibility issue by implementing fallback mechanisms that support newer vLLM formats and adapt to evolving API structures. This backend development effort, using Python and leveraging skills in API integration and model parsing, reduced runtime failures and improved reliability for AI reasoning workflows. The solution ensured continued compatibility as APIs changed, minimizing incident-related downtimes. The work was delivered as a targeted bug fix, with traceable commits, and contributed to the maintainability and stability of the system’s model parsing components.