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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Production Starter Boilerplate
# ==============================================================================
# This is a high-demand, production-ready developer code asset for building
# scalable and secure Micro-SaaS applications using FastAPI and Pydantic v2.
# ==============================================================================

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

# Define the database connection URL
DATABASE_URL = "postgresql://user:password@host:port/dbname"

# Create a database engine
engine = create_engine(DATABASE_URL)

# Create a configured "Session" class
Session = sessionmaker(bind=engine)

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

# Define the User model
class User(Base):
    """User model"""
    __tablename__ = "users"
    id = Column(Integer, primary_key=True)
    name = Column(String)
    email = Column(String, unique=True)

# Define the Item model
class Item(Base):
    """Item model"""
    __tablename

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