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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate
# Description: A production-ready, high-demand developer code asset for building micro-SaaS applications
# Category: Production Starter Boilerplate

from fastapi import FastAPI, Depends, HTTPException
from pydantic import BaseModel
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, Session

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

# Create the database engine
engine = create_engine(SQLALCHEMY_DATABASE_URL)

# Create the session maker
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)

# Create the base class for models
Base = declarative_base()

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

# Define the item model
class Item(Base):
    """Item model"""
    __

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