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Implement Pydantic AI Agent
Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.
Linked challenge: Jafurah Gas Field Expansion Risk Evaluation with Pydantic AI
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Code-aware
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Linked challenge
Jafurah Gas Field Expansion Risk Evaluation with Pydantic AI
Prompt source
Original prompt text with formatting preserved for inspection.
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Import `from pydantic_ai import Agent` and define a Pydantic output model `JafurahBidEval`. Instantiate `agent = Agent('openai:gpt-4o', result_type=JafurahBidEval)` to process contractor proposals.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.