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Multi-Agent Orchestration with Pydantic Data Exchange

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Linked challenge: Structured M&A Due Diligence with Pydantic AI, GPT-5, and Claude Sonnet 4

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Linked challenge
Structured M&A Due Diligence with Pydantic AI, GPT-5, and Claude Sonnet 4

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Design a multi-agent orchestration pattern where the 'FinancialAnalystAgent' and 'LegalReviewerAgent' perform their tasks concurrently or sequentially. Show how their Pydantic-validated outputs ('FinancialSummary' and 'LegalReview') are combined and passed to a 'DueDiligenceCoordinatorAgent' (also Pydantic-enabled) which uses GPT-5 for a holistic strategic fit assessment. Illustrate this data flow with Pydantic types.

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.