During June 2025, csoboy focused on enhancing the hsliuping/tradingagents-cn repository by implementing a configurable local model selection feature for Llama3.1 inference within the QuickThink LLM component. Using Python and leveraging skills in AI integration and API development, csoboy replaced hard-coded model references with a flexible configuration, reducing the risk of misconfiguration and improving maintainability. The integration of Ollama enabled local inference, supporting faster experimentation and potential cost savings by minimizing reliance on remote models. Additionally, csoboy improved documentation clarity by correcting parameter descriptions, demonstrating attention to both technical depth and user-facing aspects of the project.