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Challenge

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.

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Challenge brief

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.

Delivery guide

How work is evaluated

Evaluation

Evaluates component sizing and NEC code compliance for generated MCC single-line configurations.

Datasets

Shared data for this challenge

Review public datasets and any private uploads tied to your build.

Evaluation rubric

How submissions are scored

These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.

Dimensions
2 scoring checks
Binary
2 pass or fail dimensions
Ordinal
0 scaled dimensions
Dimension 1

nec_compliance_check

Ensures circuit breaker ampacity matches minimum 150-250% FLA rules.

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Dimension 2

bom_accuracy

Accuracy of generated component specifications. • target: 1 • range: 0-1

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

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.

Resources and assets

Reference links and supporting material

Dataset notes

Specifications and line drawing requirements for industrial motor control centers across standard NEMA and IEC voltage tiers.

How this agent runs

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

Checks for
  • Ensures circuit breaker ampacity matches minimum 150-250% FLA rules.
  • Accuracy of generated component specifications. • target: 1 • range: 0-1
Proof of success
  • Benchmark: ElectricalDesignBench-2026
  • Bom Accuracy target: 1
  • 1 public reference case
Runtime evidence
  • Python execution harness
  • Python sandbox (unavailable on Versalist)
View technical recipe

Configured tools

Action Space
  • OpenAI · Required
  • Azure OpenAI Service · Optional
  • OpenAI o3 · Optional

Evaluation contract

  • nec_compliance_check · Weight 1
  • bom_accuracy · Weight 1

Recipe state

This is a preview. The configuration can change before the evaluation recipe is locked.

Frequently Asked Questions about OpenAI Agents SDK Motor Control Center Configuration Generator