Worked on stabilizing model processing in the JustinTong0323/sglang repository by addressing a critical bug that caused runtime errors when input_ids were set to None during inference. Focused on improving the reliability of the inference pipeline, the solution involved modifying the Python code to ensure input_ids consistently retained their intended values, thereby preventing edge-case failures. This work required careful attention to model integration and bug fixing, directly enhancing production stability. By removing the assignment that set input_ids to None, the update reduced the likelihood of runtime failures and contributed to more robust model processing within the existing codebase.