⚡ 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 boilerplate for building 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
SQLALCHEMY_DATABASE_URL = "sqlite:///example.db"

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

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

# Define the User schema

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