Developed and delivered a high-performance CLI proxy configuration for the RTK Runtime Toolkit within the jdx/mise repository, focusing on reducing LLM token consumption and improving throughput for language model interactions. The work involved integrating an external RTK registry and designing CLI tooling that supports scalable proxy deployments. Leveraging expertise in AI integration, CLI development, and performance optimization, the implementation established a foundation for more efficient and cost-effective LLM usage. The project utilized TOML for configuration management and emphasized external registry integration to streamline deployment. Over the course of one month, the contribution centered on feature delivery without bug fixes, demonstrating focused engineering depth.