Korbinian Koch enhanced the BerriAI/litellm repository by delivering Databricks pricing updates that expanded model coverage and improved cost governance. He updated pricing data for existing Databricks models, integrated new models, and implemented comprehensive unit tests to verify the accuracy of cost calculations. Using Python and JSON, Korbinian focused on robust API integration and data analysis to ensure that pricing information remained reliable for both customers and the sales team. His work enabled more accurate quoting and forecasting for Databricks-based models. Over the course of the month, he concentrated on feature development, demonstrating depth in pricing logic and test coverage.