Worked on deployment configuration enhancements for the langchain-ai/helm repository, focusing on improving the reliability and scalability of the Langsmith platform. The primary contribution involved injecting the LANGGRAPH_DEPLOYMENT_URL into the platform backend, ensuring accurate deployment configuration for Langsmith. Resource limits for memory were increased within the Helm charts to accommodate higher workloads, and versioning was refined to support precise deployment tracking and rollback capabilities. Leveraging DevOps practices, Kubernetes, and YAML, the work emphasized deployment stability and observability. These updates collectively reduced deployment friction and enabled more robust capacity planning for Langsmith operations, reflecting a focused and methodical engineering approach.