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Pydantic AI Customer Agent

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

Linked challenge: Pydantic AI Compliant Customer Communication Agent

Format
Code-aware
Lines
8
Sections
2
Linked challenge
Pydantic AI Compliant Customer Communication Agent

Prompt source

Original prompt text with formatting preserved for inspection.

8 lines
2 sections
No variables
0 checklist items
from pydantic import BaseModel, field_validator
from pydantic_ai import Agent

class CustomerMessage(BaseModel):
    body: str
    @field_validator('body')
    def check_liability(cls, v):
        if 'we guarantee payment' in v.lower(): raise ValueError('Coverage promise forbidden')
        return v

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.