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

from fastapi import FastAPI, Depends, HTTPException
from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm
from pydantic import BaseModel, EmailStr
from sqlalchemy import create_engine, Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker, Session
from sqlalchemy.exc import IntegrityError
from typing import Optional
from passlib.context import CryptContext
from jose import jwt, JWTError
from datetime import datetime, timedelta

# PostgreSQL Database Connection
SQLALCHEMY_DATABASE_URL = "postgresql://user:password@host:port/dbname"
engine = create_engine(SQLALCHEMY_DATABASE_URL)
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)

# Pydantic Models
class User(BaseModel):
    """User model"""
    id: Optional[int]
    username: str
    email: EmailStr
    full_name: Optional[str]
    disabled:

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