⚡ Live Sandbox: AI Dev Tool: FastAPI Pydantic v2 (u2im)

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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate
# Description: A production-ready starter boilerplate for building micro-SaaS applications using FastAPI and Pydantic v2

from fastapi import FastAPI, Depends, HTTPException
from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm
from pydantic import BaseModel, Field
from typing import 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@localhost/dbname"

# Create a database engine
engine = create_engine(SQLALCHEMY_DATABASE_URL)

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

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

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

# Define the item model
class Item

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