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Rapid Motor Control Center (MCC) Configuration Generator with OpenAI Agents

Custom Motor Control Center (MCC) engineering typically requires months of design iterations. Build an automated design assistant using OpenAI Agents SDK and Groq Cloud to process customer electrical specifications and instantly output standardized panel layout wireframes and component bills of materials.

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What you are building

Construct an OpenAI Agents SDK application running on Groq Cloud to automate electrical specification parsing and MCC panel bill of materials (BOM) generation.

How work is evaluated

Evaluation

Evaluates the agent's speed and correctness in converting raw motor horsepower and voltage requirements into accurate electrical component lists.

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

bom_completeness

Validates all necessary starters and breakers are included.

Binary check

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

Dimension 2

inference_latency_seconds

Time taken to generate complete configuration using Groq acceleration. • target: 1 • range: 0.1-3

Binary check

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

Learning goals

  • Build interactive conversational agents using OpenAI Agents SDK

  • Leverage Groq Cloud API endpoints for high-speed LLM function execution

  • Parse motor rating, starter type, and busbar capacity specifications

  • Generate complete electrical enclosure BOM JSON datasets

Resources

Dataset notes

Catalog of motor starters, circuit breakers, enclosure dimensions, and thermal specs.

Challenge setup

Evaluates the agent's speed and correctness in converting raw motor horsepower and voltage requirements into accurate electrical component lists.

Challenge input

JSON with motor_hp, voltage, starter_type, and bus_rating_amps.

OpenAI Agents SDK

Provides reliable multi-turn conversation and function execution abstractions.

Groq Cloud

Delivers sub-second response times for complex structured tool output requests.

Evaluated output

JSON containing bom_items array and total_enclosure_width_inches.

Evaluation checks
  • Validates all necessary starters and breakers are included.
  • Time taken to generate complete configuration using Groq acceleration. • target: 1 • range: 0.1-3
Configured evaluation evidence
  • Benchmark: Electrical CAD Generation Benchmark
  • Inference Latency Seconds 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
Policy Serving
  • Groq Cloud · Optional

Evaluation contract

  • bom_completeness · Weight 1
  • inference_latency_seconds · Weight 1

Metrics

  • inference_latency_seconds · Target 1

Benchmarks

  • Electrical CAD Generation Benchmark
  • robotics

Reference cases

  • 1 public reference case

Workflow tasks

  1. Task 1

    Input: JSON with motor_hp, voltage, starter_type, and bus_rating_amps.

    Output: JSON containing bom_items array and total_enclosure_width_inches.

    Execution harness: Python

Evaluation tools

  • OpenAI Agents SDK · Agent Framework
  • Groq Cloud · Inference Acceleration

Recipe freeze marker

No recipe freeze time is recorded.

Frequently Asked Questions about Rapid Motor Control Center (MCC) Configuration Generator with OpenAI Agents