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implementation
Build Pydantic AI Stress Test Agent
Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.
Linked challenge: Build Residential Loan Portfolio Stress-Tester using Pydantic AI
Format
Code-aware
Lines
7
Sections
3
Linked challenge
Build Residential Loan Portfolio Stress-Tester using Pydantic AI
Prompt source
Original prompt text with formatting preserved for inspection.
7 lines
3 sections
No variables
0 checklist items
from pydantic import BaseModel
from pydantic_ai import Agent
class StressReport(BaseModel):
projected_cdr_pct: float
projected_loss_amount: float
stress_rating: str
agent = Agent('openai:gpt-4o', result_type=StressReport)
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.