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```python
# AI Dev Tool: Turbocharged Micro-SaaS Boilerplate
# Combines FastAPI, Pydantic v2, and PostgreSQL for a high-performance Micro-SaaS foundation

from fastapi import FastAPI, HTTPException
from fastapi.responses import JSONResponse
from pydantic import BaseModel, Field
from typing import List, Optional
import psycopg2
from psycopg2 import Error
import os
import logging

# Initialize the logger
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

# Define the PostgreSQL connection parameters
POSTGRES_HOST = os.environ.get("POSTGRES_HOST", "localhost")
POSTGRES_DB = os.environ.get("POSTGRES_DB", "mydb")
POSTGRES_USER = os.environ.get("POSTGRES_USER", "myuser")
POSTGRES_PASSWORD = os.environ.get("POSTGRES_PASSWORD", "mypassword")

# Define the FastAPI application
app = FastAPI(title="Turbocharged Micro-SaaS Boilerplate", description="A high-performance Micro-SaaS foundation")

# Define the Pydantic models
class User(BaseModel):
    """User model"""
    id: int = Field(..., description="User ID")
    name: str = Field(..., description="User name")
    email:

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