Python

pip install xschema

from xschema import convert

# Your JSON Schema
user_schema = {
    "type": "object",
    "properties": {
        "id": {"type": "integer"},
        "name": {"type": "string"},
        "email": {"type": "string", "format": "email"}
    },
    "required": ["id", "name", "email"]
}

# Convert to Pydantic model at runtime
User = convert(user_schema, adapter="pydantic")

# Use it
user = User(id=1, name="Alice", email="alice@example.com")
print(user.model_dump())

import httpx
from xschema import convert

async def validate_user(data: dict):
    # Fetch schema from registry
    async with httpx.AsyncClient() as client:
        response = await client.get("https://api.example.com/schemas/user")
        schema = response.json()
    
    # Convert and validate
    User = convert(schema, adapter="pydantic")
    return User.model_validate(data)

from xschema import Runtime

runtime = Runtime(adapter="pydantic", cache=True)

# First call converts and caches
User = runtime.convert(user_schema)

# Second call returns cached version
User = runtime.convert(user_schema)