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Pydantic AI Agent Definition
Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.
Linked challenge: Build a Real-Time Fast Rail Fraud Detector with Pydantic AI
Format
Code-aware
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1
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Linked challenge
Build a Real-Time Fast Rail Fraud Detector with Pydantic AI
Prompt source
Original prompt text with formatting preserved for inspection.
1 lines
1 sections
No variables
0 checklist items
Using `from pydantic_ai import Agent`, define a type-safe agent that accepts a `FastPaymentPayload` model, executes dynamic feature tools, and returns a validated `FraudDecision` output.
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.