Pydantic Plugin: Add support for Annotated with Field constraints

[genro]

Feature Request

Add support for Pydantic's Annotated type with Field constraints in the Pydantic plugin.

Current State

The MVP implementation (v0.6.0) supports:

• Basic types (str, int, float, bool)
• Optional and default values
• Complex types (List, Dict, Set, Tuple)
• Existing Pydantic BaseModel instances

Requested Enhancement

Support Annotated with Field for constraints like:

from typing import Annotated
from pydantic import Field

sw = Switcher().plug("pydantic")

@sw
def create_user(
    name: Annotated[str, Field(min_length=2, max_length=50)],
    age: Annotated[int, Field(ge=0, le=120)],
    email: Annotated[str, Field(pattern=r'^[\w\.-]+@[\w\.-]+\.\w+$')]
):
    ...

Implementation Notes

• Extract Field metadata from Annotated types
• Pass constraints to dynamic Pydantic model creation
• Ensure error messages show which constraint was violated

Priority

Medium - This would make the plugin more powerful for data validation use cases.

Related

Part of the Pydantic plugin MVP+1 features discussed in initial implementation.

[genro]

Closing this issue in favor of a new one with a detailed implementation plan covering helper functions, model creation, tests, and documentation.