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Build Diligence Agent with Pydantic AI

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Linked challenge: Build a Type-Safe Private Equity AI Due Diligence Agent with Pydantic AI

Format
Code-aware
Lines
8
Sections
3
Linked challenge
Build a Type-Safe Private Equity AI Due Diligence Agent with Pydantic AI

Prompt source

Original prompt text with formatting preserved for inspection.

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

class FinancialDiligenceReport(BaseModel):
    arr_usd: float
    gross_margin_pct: float
    ai_tech_stack_risk: str
    key_risks: list[str]

# Initialize Pydantic AI agent returning FinancialDiligenceReport

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.