Worked on the jeejeelee/vllm repository to enhance the reliability of the model’s prompting pipeline by addressing a targeted bug in the chunked prefill eviction path. Focused on backend development and debugging, the work involved refining how prompt log probabilities are accumulated and managed during eviction, reducing the risk of data loss and request errors. Using Python and robust testing practices, the fix improved the correctness of log probability handling across chunked requests. The change was clearly documented and auditable, supporting safer production usage and minimizing the impact of invalid logprob data on downstream analytics and request processing within the system.