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```python # AI Dev Tool: Turbocharged Micro-SaaS Boilerplate # ================================================ # A production-ready, type-safe boilerplate for building micro-SaaS applications # using FastAPI, Pydantic v2, and PostgreSQL Vector Search Extension. import os import sys from fastapi import FastAPI, HTTPException 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 from sqlalchemy.exc import SQLAlchemyError from cloudflare import WorkersKV # Initialize the FastAPI application app = FastAPI() # Define the database connection URL DATABASE_URL = os.environ.get("DATABASE_URL") # Create a database engine engine = create_engine(DATABASE_URL) # Create a configured "Session" class Session = sessionmaker(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) name = Column(String) email = Column(String,