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```python
# AI Dev Tool: LLM Speed Test CLI
# Description: A command-line tool to test the speed of local LLMs before buying hardware.
# Requirements: Python 3.8+, torch, transformers

import argparse
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
import time
import json

def test_llm_speed(model_name: str, device: str = "cpu") -> dict:
    """
    Test the speed of a local LLM.

Args:
    - model_name (str): The name of the LLM model to test.
    - device (str): The device to run the model on (default: "cpu").

Returns:
    - dict: A dictionary containing the test results.
    """
    try:
        # Load the model and tokenizer
        model = AutoModelForCausalLM.from_pretrained(model_name)
        tokenizer = AutoTokenizer.from_pretrained(model_name)

# Move the model to the specified device
        device = torch.device(device if torch.cuda.is_available() else "cpu")
        model.to(device)

# Generate a random input
        input_text = "This is a test input."

# Tokenize the input
        inputs = tokenizer

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