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implementation
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: Design a Quick-Commerce Dark Store Demand Forecasting Engine using Pydantic AI
Format
Code-aware
Lines
6
Sections
3
Linked challenge
Design a Quick-Commerce Dark Store Demand Forecasting Engine using Pydantic AI
Prompt source
Original prompt text with formatting preserved for inspection.
6 lines
3 sections
No variables
0 checklist items
from pydantic import BaseModel, Field
from pydantic_ai import Agent, RunContext
class InventoryInput(BaseModel):
dark_store_id: str
current_stock: int
# Initialize Pydantic AI agent with structured result type
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.