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AutoGen Multi-Agent Setup

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Linked challenge: AutoGen Casualty ILS: Multi-Agent Tail Risk Structuring System

Format
Code-aware
Lines
6
Sections
4
Linked challenge
AutoGen Casualty ILS: Multi-Agent Tail Risk Structuring System

Prompt source

Original prompt text with formatting preserved for inspection.

6 lines
4 sections
No variables
0 checklist items
import autogen

config_list = [{'model': 'gpt-4o', 'api_key': '...'}]

# Define Actuary, Structurer, and Investor Agents
actuary = autogen.AssistantAgent(name='Actuary', llm_config={'config_list': config_list})
structurer = autogen.AssistantAgent(name='Structurer', llm_config={'config_list': config_list})

# Create Group Chat and Manager for ILS bond terms negotiation

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.