Levy worked on enhancing the AgentCore streaming mechanism in the BerriAI/litellm repository, focusing on reducing startup and health-check latency. By relocating imports to the module scope and refactoring response handling, Levy streamlined the streaming process, which improved both initialization speed and runtime responsiveness. The work involved backend development and API integration using Python, with an emphasis on performance optimization and maintainability. Through targeted unit testing and careful code refactoring, Levy addressed health-check delays and improved the reliability of AgentCore’s streaming. The depth of the changes reflects a thoughtful approach to backend performance and code quality within a short timeframe.