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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, 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

# Initialize the FastAPI application
app = FastAPI(title="FastAPI Pydantic v2 Micro-SaaS Boilerplate", description="A production-ready starter boilerplate for building micro-SaaS applications.")

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

# Create a database engine
engine = create_engine(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 a Pydantic model for the user
class User(BaseModel):
    """A Pydantic model representing a user."""
    id: int

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