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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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What you are building

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

Evaluation

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

Datasets

Public datasets, plus the private datasets you have access to.

How submissions are scored

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

  • 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

Dataset notes

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

Evaluation checks
  • Ensures circuit breaker ampacity matches minimum 150-250% FLA rules.
  • Accuracy of generated component specifications. • target: 1 • range: 0-1
Configured evaluation evidence
  • Benchmark: ElectricalDesignBench-2026
  • Bom Accuracy target: 1
  • 1 public reference case
Configured runtime
  • Python execution harness
  • Python sandbox (unavailable on Versalist)

Shows the first task, up to three tools, and up to three evidence items.

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

Metrics

  • bom_accuracy · Target 1

Benchmarks

  • ElectricalDesignBench-2026
  • general

Reference cases

  • 1 public reference case

Workflow tasks

  1. 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.

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