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```python
# AI Dev Tool: AirPods 5 Voice Assistant API Integration Wrapper
# Description: A production-ready API integration wrapper for AirPods 5 voice assistant
# using GPT-6 Astra, looped transformers, and hidden reasoning.

import os
import json
from typing import Dict, List
from fastapi import FastAPI, HTTPException
from fastapi.responses import JSONResponse
from pydantic import BaseModel
from transformers import AutoModelForSequenceClassification, AutoTokenizer
from sqlalchemy import create_engine, Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker

# Define the base model for the database
Base = declarative_base()

# Define the AirPods 5 voice assistant model
class AirPods5VoiceAssistant(Base):
    __tablename__ = 'airpods5_voice_assistant'
    id = Column(Integer, primary_key=True)
    voice_command = Column(String)
    response = Column(String)

# Create the database engine
engine = create_engine('postgresql://user:password@host:port/dbname')

# Create the database session
Session = sessionmaker(bind=engine)
session = Session()

# Define the FastAPI app
app

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