⚡ Live Sandbox: AI Dev Tool: FastAPI Pydantic v2 MicroSaaS

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

from fastapi import FastAPI, Depends, HTTPException
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

# Initialize FastAPI app
app = FastAPI()

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

# Create database tables
Base.metadata.create_all(bind=engine)

# Define Pydantic model for user registration
class UserRegister(BaseModel):
    email: str = Field(..., example

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