pydantic-models-py/upstream-original/SKILL.md

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name: pydantic-models-py description: Create Pydantic models following the multi-model pattern with Base, Create, Update, Response, and InDB variants. Use when defining API request/response schemas, database models, or data validation in Python applications using Pydantic v2. license: MIT metadata: author: Microsoft version: "1.0.0"

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Pydantic Models

Create Pydantic models following the multi-model pattern for clean API contracts.

Quick Start

Copy the template from assets/template.py and replace placeholders: - {{ResourceName}} → PascalCase name (e.g., Project) - {{resource_name}} → snake_case name (e.g., project)

Multi-Model Pattern

Model	Purpose
Base	Common fields shared across models
Create	Request body for creation (required fields)
Update	Request body for updates (all optional)
Response	API response with all fields
InDB	Database document with doc_type

camelCase Aliases

from datetime import datetime

from pydantic import BaseModel, ConfigDict, Field

class MyModel(BaseModel):
    model_config = ConfigDict(populate_by_name=True)

    workspace_id: str = Field(..., alias="workspaceId")
    created_at: datetime = Field(..., alias="createdAt")

Optional Update Fields

class MyUpdate(BaseModel):
    model_config = ConfigDict(populate_by_name=True)

    name: Optional[str] = Field(None, min_length=1)
    description: Optional[str] = None

Database Document

class MyInDB(MyResponse):
    doc_type: str = "my_resource"

Integration Steps

1. Create models in src/backend/app/models/
2. Export from src/backend/app/models/__init__.py
3. Add corresponding TypeScript types

Reference Files

File	Contents
references/capabilities.md	Additional non-hero capabilities, operation-group coverage, and production checklists.