⚡ Live Sandbox: AI Dev Tool: FastAPI Pydantic v2 (jkun)

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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate
# Description: Production-ready FastAPI boilerplate with Pydantic v2 for building micro-SaaS applications

from fastapi import FastAPI, Depends
from pydantic import BaseModel
from typing import Optional
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String

# Initialize FastAPI app
app = FastAPI()

# Define database connection
SQLALCHEMY_DATABASE_URL = "postgresql://user:password@localhost/dbname"
engine = create_engine(SQLALCHEMY_DATABASE_URL)
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
Base = declarative_base()

# Define Pydantic models
class User(BaseModel):
    id: int
    name: str
    email: str

class Item(BaseModel):
    id: int
    title: str
    description: Optional[str] = None

# Define database models
class UserTable(Base):
    __tablename__ = "users"
    id = Column(Integer, primary_key=True)
    name = Column(String)
    email = Column(String)

class Item

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