Integrate RAGAS for Report Quality Evaluation

Develop a reporting module that leverages RAGAS. After the LLM agent runs a simulation and gathers data, it should generate a narrative summary report of the robot's performance, identified issues, and potential optimizations. Use RAGAS to evaluate the quality, coherence, and factual accuracy of this LLM-generated report based on the raw simulation logs. Provide example code for how RAGAS will be integrated and what specific metrics it will track (e.g., faithfulness, answer relevance).