⚡ Live Sandbox: AI Dev Tool: FastAPI Pydantic v2 (42jv)

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

from fastapi import FastAPI, Depends
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, Session
import psycopg2
import uvicorn

# Initialize FastAPI application
app = FastAPI()

# Define Pydantic models
class User(BaseModel):
    """User model"""
    id: int
    name: str
    email: str

class Item(BaseModel):
    """Item model"""
    id: int
    title: str
    description: str

# Define 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)

Base = declarative_base()

# Define database models
class UserDB(Base):

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