During March 2026, Cohml focused on backend reliability for the BerriAI/litellm repository, addressing a Redis cluster connection issue. They identified and fixed a bug in the Redis client’s startup_nodes detection logic, ensuring correct cluster connections even when a general Redis URL was present. This work involved refining caching logic to prevent misrouting to non-cluster endpoints and adding targeted tests to validate the fix and prevent regressions. Using Python and leveraging expertise in caching and Redis, Cohml’s contribution improved the stability of cluster configurations. The work demonstrated careful attention to reliability, with depth in both debugging and automated test coverage.