Connor Luebbehusen enhanced pricing accuracy for the BerriAI/litellm repository by updating cost calculations for Groq GPT-OSS and Claude Opus-4-5 models. He implemented cache read input token costs for Groq GPT-OSS and adjusted in-region input and output token pricing for Claude Opus-4-5, ensuring that billing reflects region-specific rates. Using skills in API integration, cost analysis, and data management, Connor worked primarily with JSON to align output costs with actual usage. His contributions improved the reliability of the pricing module, enabling more accurate billing and cost forecasting for both customers and internal stakeholders over the course of the month.