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

from fastapi import FastAPI, 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

# Initialize FastAPI app
app = FastAPI()

# Define database connection
SQLALCHEMY_DATABASE_URL = "sqlite:///example.db"
engine = create_engine(SQLALCHEMY_DATABASE_URL)
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)

# Define database model
Base = declarative_base()

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

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

# Define Pydantic models
class UserRequest(BaseModel):
    name: str
    email: str

class UserResponse(BaseModel):
    id: int
    name: str
    email: str

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