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Pydantic AI Agent Setup

Inspect the original prompt language first, then copy or adapt it once you know how it fits your workflow.

Linked challenge: Pydantic AI Type-Safe Reinsurance Broker Matching Engine

Format
Code-aware
Lines
10
Sections
4
Linked challenge
Pydantic AI Type-Safe Reinsurance Broker Matching Engine

Prompt source

Original prompt text with formatting preserved for inspection.

10 lines
4 sections
No variables
0 checklist items
from pydantic import BaseModel, Field
from pydantic_ai import Agent

class TreatyRecommendation(BaseModel):
    treaty_type: str
    attachment_point: float
    limit: float
    estimated_rate_on_line: float
    reinsurer_panel: list[str]

agent = Agent('openai:gpt-4o', result_type=TreatyRecommendation)

# Run agent on primary insurer submission...

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.