WeiSibo enhanced the agentscope-ai/agentscope repository by addressing robustness in OpenAI model parsing for the vLLM reasoning field. Focusing on backend development and API integration, WeiSibo implemented fallback mechanisms to support newer vLLM formats and adapt to evolving API structures. This Python-based solution improved compatibility and reduced runtime failures, ensuring more reliable AI reasoning workflows. The work involved careful model parsing logic to maintain system stability as APIs changed, directly reducing incident-related downtimes. Although the contribution centered on a single bug fix, the depth of the solution demonstrated strong attention to maintainability and adaptability in a dynamic backend environment.