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```python
# AI Dev Tool: LLM Visualizer and Frontier Music API Integration Wrapper
# Description: A production-ready API integration wrapper for LLM Visualizer and Frontier Music with Symbolic Planning
# Author: [Your Name]

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 database connection
SQLALCHEMY_DATABASE_URL = "sqlite:///llm_visualizer.db"
engine = create_engine(SQLALCHEMY_DATABASE_URL)
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)

Base = declarative_base()

# Define the LLM Visualizer model
class LLMVisualizerModel(Base):
    __tablename__ = "llm_visualizer"
    id = Column(Integer, primary_key=True)
    input_text = Column(String)
    output_text = Column(String)

# Create the database tables
Base.metadata.create_all(bind=engine)

# Define the Frontier Music with Symbolic

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