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Challenge

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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Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

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

Delivery guide

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

Shared data for this challenge

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

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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

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

What you should walk away with

  • 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 and assets

Reference links and supporting material

Dataset notes

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

How this agent runs

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.

Checks for
  • Validates all necessary starters and breakers are included.
  • Time taken to generate complete configuration using Groq acceleration. • target: 1 • range: 0.1-3
Proof of success
  • Benchmark: Electrical CAD Generation Benchmark
  • Inference Latency Seconds target: 1
  • 1 public reference case
Runtime evidence
  • Python execution harness
  • Python sandbox
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

Recipe state

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

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