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Pydantic AI Agent Initialization

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Linked challenge: Pydantic AI Threat Agent: Autonomous Cyber Hazard Underwriting

Format
Code-aware
Lines
9
Sections
3
Linked challenge
Pydantic AI Threat Agent: Autonomous Cyber Hazard Underwriting

Prompt source

Original prompt text with formatting preserved for inspection.

9 lines
3 sections
No variables
0 checklist items
from pydantic import BaseModel, Field
from pydantic_ai import Agent

class CyberRiskResult(BaseModel):
    underwriting_decision: str
    risk_score_100: int = Field(ge=0, le=100)
    premium_multiplier: float
    remediation_requirements: list[str]

# Instantiate Pydantic AI Agent with typed result model
agent = Agent('openai:gpt-4o', result_type=CyberRiskResult)

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.