Back to Prompt Library
implementation

Agent System Architecture

Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.

Linked challenge: Orchestrating Cross-Layer OT-IT Diagnostic Agents with OpenAI Agents SDK and Qwen 3

Format
Text-first
Lines
1
Sections
1
Linked challenge
Orchestrating Cross-Layer OT-IT Diagnostic Agents with OpenAI Agents SDK and Qwen 3

Prompt source

Original prompt text with formatting preserved for inspection.

1 lines
1 sections
No variables
0 checklist items
Using the OpenAI Agents SDK, initialize a main 'FactoryManager' agent. Define two sub-agents: 'OT_Specialist' (using a local Qwen 3 endpoint for signal processing) and 'IT_Specialist' (for ERP integration). Configure the handoff logic so that the OT_Specialist detects pressure anomalies and transfers context to the IT_Specialist for resource allocation.

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Hold the task contract and output shape stable so generated implementations remain comparable.

Tune next

Update libraries, interfaces, and environment assumptions to match the stack you actually run.

Verify after

Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.