Back to Prompt Library
implementation
Pydantic AI Agent & Schema Setup
Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.
Linked challenge: Agentic Transaction Fraud & Sanctions Triage Engine with Pydantic AI and Azure AI
Format
Code-aware
Lines
4
Sections
3
Linked challenge
Agentic Transaction Fraud & Sanctions Triage Engine with Pydantic AI and Azure AI
Prompt source
Original prompt text with formatting preserved for inspection.
4 lines
3 sections
No variables
0 checklist items
Define the Pydantic input and output schemas for trade screening. Initialize a `pydantic_ai.Agent` instance configured with Azure AI endpoint bindings. from pydantic import BaseModel, Field from pydantic_ai import Agent # Define TradeTriageResult schema and create Agent
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.