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Draft evaluation
Multi-Agent Industrial Asset Management Strategy Engine with CrewAI — evaluation
Evaluates the collaborative decision quality of the CrewAI agents when responding to a high-priority bearing vibration failure alert.
Evaluation type
task based
Challenge
Multi-Agent Industrial Asset Management Strategy Engine with CrewAI
Difficulty
Advanced
Rigor
Not declared
The author has not specified a rigor level.
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
asset_maintenance_crew_eval
Passes critical bearing anomaly event to the crew and measures work order quality.
Input format
JSON containing machine_id, vibration_mm_s, baseline_threshold, and spare_parts_stock.
Output format
JSON containing finalized_work_order with scheduled_time, part_reserved, and downtime_hours.