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Public evaluation
aeration_telemetry_eval
Evaluates the AI SDK agent's ability to classify telemetry anomalies and generate valid setpoint adjustments.
Evaluation type
task based
Challenge
Build Wastewater Aeration Anomaly Agent with Vercel AI SDK and Gemini 2.5 Flash
Difficulty
Intermediate
Rigor
Unspecified
Evaluation overview
How the linked challenge is judged: tasks, benchmarks, and criteria count.
Tasks
1
Benchmarks
0
Criteria
0
Task templates
Inputs and expected outputs.
Task 1
aeration_telemetry_eval
Tests anomaly detection accuracy on simulated wastewater aeration basin readings.
Input format
JSON containing telemetry arrays (DO, air flow, blower current)
Output format
JSON with anomaly_detected boolean, severity, and suggested_setpoint