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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: MBS AI-Prepayment Risk Validator using Pydantic AI and Claude 4 Opus
Format
Code-aware
Lines
4
Sections
1
Linked challenge
MBS AI-Prepayment Risk Validator using Pydantic AI and Claude 4 Opus
Prompt source
Original prompt text with formatting preserved for inspection.
4 lines
1 sections
No variables
0 checklist items
from pydantic import BaseModel from pydantic_ai import Agent # Define output model MBSPrepaymentOutput with predicted_cpr, predicted_smm, and revised_duration_years. # Instantiate Pydantic AI agent using 'claude-4-opus' and run analysis on pool incentive spreads.
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.