Back to Prompt Library
implementation

Agent Orchestration Prompt

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

Linked challenge: Build Autonomous Data Center Energy Negotiator with LangChain and Pydantic AI

Format
Text-first
Lines
1
Sections
1
Linked challenge
Build Autonomous Data Center Energy Negotiator with LangChain and Pydantic AI

Prompt source

Original prompt text with formatting preserved for inspection.

1 lines
1 sections
No variables
0 checklist items
Using LangChain and Pydantic AI, initialize an agent team with a negotiator role. Define system instructions for the agent to optimize for Project Jupiter-style fuel cell costs using Gemini 3.1 Pro.

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.