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

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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate
# ================================================
# A production-ready starter boilerplate for building micro-SaaS applications
# using FastAPI, Pydantic v2, and PostgreSQL Vector Search Extension.

from fastapi import FastAPI, Depends
from fastapi.responses import JSONResponse
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, Session
import psycopg2
import os

# Initialize the FastAPI application
app = FastAPI()

# Define the database connection URL
DATABASE_URL = os.environ.get("DATABASE_URL")

# Create a PostgreSQL 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 the User model
class User(Base):
    """The User model."""
    __tablename__ = "users"
    id = Column(Integer, primary_key=True)
    name = Column(String)
    email

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