Prompt Content
Implement the 'Anomaly Detector' agent. Describe the machine learning model(s) you'll use for anomaly detection on simulated satellite telemetry (e.g., power consumption, temperature, communication metrics). Detail how detected anomalies will trigger responses from other agents and how Llama 3.3 could assist in categorizing or prioritizing unknown anomalies. Relate this to the 'ScenarioAdaptation' evaluation task.
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