Developed and delivered a real-time NPU Performance Monitoring Command-Line Utility for the open-edge-platform/edge-ai-libraries repository, enabling users to track key metrics such as power consumption, temperature, utilization, and memory usage for Neural Processing Unit workloads. The tool was implemented using Python scripting and command-line interface techniques, with a focus on system monitoring and end-to-end instrumentation. This feature enhanced observability for edge AI deployments, supporting faster troubleshooting and performance tuning. The work demonstrated proficiency in CLI tooling and cross-component integration, with all changes traceable through a dedicated commit. No critical bugs were addressed during this period, focusing solely on feature delivery.