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Define Pydantic AI Physics Agent

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Linked challenge: Water Utility Physical Cyber Attack Monitoring with Pydantic AI

Format
Code-aware
Lines
8
Sections
4
Linked challenge
Water Utility Physical Cyber Attack Monitoring with Pydantic AI

Prompt source

Original prompt text with formatting preserved for inspection.

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

class TelemetryReport(BaseModel):
    physical_violation: bool
    anomaly_type: str
    certainty: float = Field(ge=0.0, le=1.0)

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

# Implement agent tool to evaluate fluid mass conservation

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.