implementation

Multi-Agent Definition in AutoGen

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Linked challenge: Infrastructure Project Permitting Multi-Agent System with AutoGen and Lovable Dev

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Linked challenge

Infrastructure Project Permitting Multi-Agent System with AutoGen and Lovable Dev

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Original prompt text with formatting preserved for inspection.

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Set up an AutoGen GroupChat with three agents: 'RegulatoryAnalyst', 'FinancialController', and 'ChiefEngineer'. Initialize them using pyautogen and configure the 'RegulatoryAnalyst' to specifically look for Supreme Court rulings mentioned in the ENR news URLs provided.

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.

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implementation

This prompt is mostly narrative and instruction-driven, so adapt examples and output constraints before you rewrite the structure.

Linked challenge

Infrastructure Project Permitting Multi-Agent System with AutoGen and Lovable Dev

Large-scale infrastructure projects like the $11B Grain Belt Express or the $1B gas-fired power plant in West Virginia face complex regulatory and engineering hurdles. In this challenge, you will use Microsoft AutoGen to build a multi-agent system that simulates an infrastructure planning committee. One agent acts as a 'Regulatory Analyst' (citing Illinois Supreme Court backing), another as a 'Financial Controller' ($2B Genentech expansion context), and a third as an 'Engineering Consultant'. You will use AutoGen's conversational patterns to reach a consensus on project feasibility. To visualize these complex agent interactions and project statuses, you will use Lovable Dev to build a modern dashboard. This 'Infrastructure War Room' will display real-time logs from the AutoGen agents, permit statuses, and budget tracking for projects like the RFK Stadium proposal or Massachusetts' $8B transportation investment.

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Initial Assessment Prompt

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Content Classification Prompt

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