Develop Failure Prediction and Recommendation Agents

Develop the 'Failure Prediction Agent' that takes input from the Sensor Data Analyst and Maintenance History Agents and uses a predictive model (e.g., a simple threshold-based model or a trained ML model) to determine the likelihood and type of failure. Then, implement the 'Recommendation Agent' which, upon a predicted failure, uses Qwen 2 and the ChromaDB knowledge base to generate detailed, actionable maintenance recommendations. Provide the output for the 'PredictUtilityFailure' evaluation task.