⚡ Live Sandbox: AI Dev Tool: Greg KroahHartman Security

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```python
# AI Dev Tool: Secure LLM API Boilerplate with Full Disk Access and Smartphone-Agnostic Bus Fare System
# =====================================================================================================
# This production-ready boilerplate provides a secure and efficient way to integrate LLM (Large Language Model) 
# capabilities with a smartphone-agnostic bus fare system, while ensuring full disk access and security in the LLM age.

import os
import json
from typing import Dict, List
from fastapi import FastAPI, HTTPException
from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
from pydantic import BaseModel
from supabase import create_client, Client

# Initialize the FastAPI app and Supabase client
app = FastAPI()
SUPABASE_URL = os.environ.get("SUPABASE_URL")
SUPABASE_KEY = os.environ.get("SUPABASE_KEY")
supabase: Client = create_client(SUPABASE_URL, SUPABASE_KEY)

# Define the bus fare system model
class BusFare(BaseModel):
    id: int
    route: str
    fare: float

# Define the LLM model
class LLMModel(BaseModel):
    id: int
    model_name: str
    model_version: str

# Define the full

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