OpenAI Agents SDK Motor Control Center Configuration Generator
Custom Motor Control Center (MCC) delivery lead times often suffer from multi-week manual electrical engineering drawing reviews. Build an autonomous multi-step agent using OpenAI Agents SDK to parse customer technical specs and automatically generate single-line diagram configurations. Success is measured by reducing engineering spec transformation time to under 10 seconds with 100% NEC rule compliance.
What you are building
The core problem, expected build, and operating context for this challenge.
Develop an OpenAI Agents SDK autonomous agent to parse customer electrical requirement documents and output compliant Motor Control Center layout specifications.
How work is evaluated
Evaluates component sizing and NEC code compliance for generated MCC single-line configurations.
Challenge datasets
Public datasets, plus the private datasets you have access to.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
nec_compliance_check
Ensures circuit breaker ampacity matches minimum 150-250% FLA rules.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
bom_accuracy
Accuracy of generated component specifications. • target: 1 • range: 0-1
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Initialize OpenAI Agents SDK Runner and Agent objects with dynamic function tools.
Parse text specifications for motor horsepower, voltage, and starter type requirements.
Apply National Electrical Code (NEC) sizing rules for breakers, contactors, and overloads.
Output formatted JSON electrical panel design schematics ready for CAD import.
Reference links and supporting material
Specifications and line drawing requirements for industrial motor control centers across standard NEMA and IEC voltage tiers.
Challenge setup
Evaluates component sizing and NEC code compliance for generated MCC single-line configurations.
Challenge input
JSON object with motor_hp, voltage, and starter_type
OpenAI Agents SDK
Required framework for building python autonomous agents with function tools.
Evaluated output
JSON object with breaker_rating_amps, contactor_size, and overload_range
- Ensures circuit breaker ampacity matches minimum 150-250% FLA rules.
- Accuracy of generated component specifications. • target: 1 • range: 0-1
- Benchmark: ElectricalDesignBench-2026
- Bom Accuracy target: 1
- 1 public reference case
- Python execution harness
- Python sandbox (unavailable on Versalist)
Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.
View technical recipe
Configured tools
- OpenAI · Required
- Azure OpenAI Service · Optional
- OpenAI o3 · Optional
Evaluation contract
- nec_compliance_check · Weight 1
- bom_accuracy · Weight 1
Metrics
- bom_accuracy · Target 1
Benchmarks
- ElectricalDesignBench-2026
- general
Reference cases
- 1 public reference case
Workflow tasks
- Task 1
Input: JSON object with motor_hp, voltage, and starter_type
Output: JSON object with breaker_rating_amps, contactor_size, and overload_range
Execution harness: Python
Evaluation tools
- OpenAI Agents SDK · Agent Framework
Recipe freeze marker
No recipe freeze time is recorded.