Developed and delivered Valkey vector database integration for the open-webui/open-webui repository, expanding backend data capabilities to support scalable vector operations. The work involved designing a new Valkey client class in Python, enabling efficient vector processing and seamless API integration. To enhance observability and monitoring, CLIENT SETNAME was implemented on both main and batch Valkey connections, improving traceability in CLIENT LIST outputs, dashboards, and CloudWatch metrics. This integration required careful configuration management and a focus on backend development best practices. The result was a robust extension of the platform’s database management, supporting advanced vector database workflows with improved monitoring.