or run

tessl search

pydantic-models

tessl install github:microsoft/agent-skills --skill pydantic-models

github.com/microsoft/agent-skills

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.

Review Score

92%

Validation Score

13/16

Implementation Score

88%

Activation Score

100%

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

class MyModel(BaseModel):
    workspace_id: str = Field(..., alias="workspaceId")
    created_at: datetime = Field(..., alias="createdAt")
    
    class Config:
        populate_by_name = True  # Accept both snake_case and camelCase

Optional Update Fields

class MyUpdate(BaseModel):
    """All fields optional for PATCH requests."""
    name: Optional[str] = Field(None, min_length=1)
    description: Optional[str] = None

Database Document

class MyInDB(MyResponse):
    """Adds doc_type for Cosmos DB queries."""
    doc_type: str = "my_resource"

Integration Steps

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