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

import os
import uvicorn
from fastapi import FastAPI, Depends
from fastapi.responses import JSONResponse
from fastapi.requests import Request
from pydantic import BaseModel, Field
from typing import Optional
from psycopg2 import connect
from psycopg2.extras import DictCursor

# Define the PostgreSQL database connection settings
POSTGRES_HOST = os.environ.get("POSTGRES_HOST", "localhost")
POSTGRES_PORT = os.environ.get("POSTGRES_PORT", 5432)
POSTGRES_USER = os.environ.get("POSTGRES_USER", "postgres")
POSTGRES_PASSWORD = os.environ.get("POSTGRES_PASSWORD", "postgres")
POSTGRES_DB = os.environ.get("POSTGRES_DB", "postgres")

# Define the FastAPI application
app = FastAPI(title="FastAPI Pydantic v2 Micro-SaaS Starter", version="1.0.0")

# Define the Pydantic model for the user data
class User(BaseModel):
    id: int = Field

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