Worked on enhancing the stability of the HabanaAI/vllm-fork repository by addressing a critical bug affecting prompt processing. Focused on backend development and debugging, the work involved correcting the handling of token IDs and sampling metadata when both logprobs and prompt_logprobs were requested with delayed sampling. Using Python, the solution ensured that prompt processing would not fail under these specific conditions, thereby improving the reliability of model serving in production environments. No new features were introduced during this period, as the primary objective was to reduce downtime and support robust, error-free operation for users relying on the system.