Back to Prompt Library
implementation
Setup AutoGen BESS Environment
Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.
Linked challenge: Multi-Agent BESS Capacity Auction Strategy with AutoGen and Google Jules
Format
Text-first
Lines
1
Sections
1
Linked challenge
Multi-Agent BESS Capacity Auction Strategy with AutoGen and Google Jules
Prompt source
Original prompt text with formatting preserved for inspection.
1 lines
1 sections
No variables
0 checklist items
Initialize an AutoGen environment with three agents: 'Analyst', 'Operator', and 'Strategist'. Use Google Jules to help write the code for the 'Operator' agent's battery degradation model, assuming a Lithium-ion system with 4-hour duration. The agents must collaborate to propose a bid for a 200MW capacity auction. Start by defining the `UserProxyAgent` to coordinate the conversation.
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.