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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate
# Description: A production-ready boilerplate for building high-performance micro-SaaS applications
# Author: Elite Software Architect

from fastapi import FastAPI, Request, Response
from fastapi.responses import JSONResponse
from pydantic import BaseModel, Field
from typing import Optional
import uvicorn
import logging

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

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

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

class UserResponse(BaseModel):
    """User response model"""
    id: int = Field(..., description="User ID")
    name: str = Field(..., description="User name")
    email: str = Field(..., description="User email")

# Define the

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