During March 2025, Chai delivered IPv6 support for server configuration in the ml-explore/mlx-lm repository, focusing on enhancing network compatibility and preparing the application for modern deployment environments. The work involved updating the server’s networking layer using Python, with an emphasis on robust network programming and server development practices. By enabling IPv6-aware server provisioning, Chai addressed the need for future-proofing the platform and facilitating smoother rollouts in diverse network infrastructures. The month’s efforts centered on implementing this core feature, with no major bugs reported or fixed, reflecting a targeted and technically sound approach to expanding the project’s networking capabilities.