During November 2025, Eformat focused on stabilizing the LLM Inference Service routing within the red-hat-data-services/kserve repository. Addressing a critical configuration issue, Eformat identified and fixed a missing pool-group parameter in the YAML configuration, which had been causing misrouting of inference workloads. By applying disciplined change management and delivering a targeted, single-commit correction, Eformat restored reliable routing behavior and improved the predictability of service delivery. This work leveraged expertise in configuration management and Kubernetes, demonstrating a careful approach to risk mitigation and production readiness. The contribution supported scalable LLM workloads and enhanced the operational stability of the service.