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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Starter
# ======================================================

# Import required libraries
from fastapi import FastAPI, HTTPException
from pydantic import BaseModel, Field
from typing import List, Optional
from sqlalchemy import create_engine, Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
import uvicorn
import os

# Define the database connection
SQLALCHEMY_DATABASE_URL = os.environ.get("DATABASE_URL")

# Create a database engine
engine = create_engine(SQLALCHEMY_DATABASE_URL)

# Create a configured "Session" class
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)

# Create a base class for declarative class definitions
Base = declarative_base()

# Define the application
app = FastAPI()

# Define a Pydantic model for the user
class User(BaseModel):
    """User model"""
    id: int = Field(..., description="User ID")
    name: str = Field(..., description="User name")
    email: str = Field(..., description="User email")

# Define a Pydantic model for the item
class Item(BaseModel):

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