mukesh690/MicroRTS-LLM-Mukesh

AI Summary: The task involves enhancing the microRTS project by adding a semantic analysis component. This will analyze game data (stored in CSV files, including actions, features, and time) to identify similarities and patterns across multiple games. The analysis should produce a heatmap-like visualization highlighting similarities and differences. Additional data will need to be incorporated to improve the analysis.

AI Summary: Implement and share a unit testing file for context caching in a Gemini-based LLM project. The project uses microRTS, a simplified RTS game for AI research, and the context caching aims to optimize prompt handling by simulating long-term memory within the limitations of the Gemini API (which doesn't natively support it). The provided Google documentation on caching should be used as a guide.