Worked on the HabanaAI/vllm-fork repository to enhance stability and backward compatibility for LMCache version 0 deployments. Addressed a deployment issue by implementing a version check and refining environment variable handling, ensuring LMCache loads correctly in v0 environments and reducing runtime errors. Focused on Python development with an emphasis on context management and environment configuration, the solution improved production reliability and minimized deployment friction for legacy systems. The work involved diagnosing compatibility challenges and delivering a targeted bug fix, demonstrating attention to robust environment setup and careful integration of version control mechanisms within Python-based deployment workflows for machine learning infrastructure.