code: def main(system_prompt):
      for question in questions:
          data = []  # Data for the current question
  
          with tqdm(total=len(models)) as pbar:
              for model in models:
                  colored_description = colored(
                      f"Running question: {question} for model: {model}",
                      "green",
                  )
                  pbar.set_description(colored_description)
                  start_time = time.time()
  
                  response = completion(
                      model=model,
                      max_tokens=500,
                      messages=[
                          {"role": "system", "content": system_prompt},
                          {"role": "user", "content": question},
                      ],
                  )
  
                  end = time.time()
                  total_time = end - start_time
                  cost = completion_cost(completion_response=response)
                  raw_response = response["choices"][0]["message"][
                      "content"
                  ]
  
                  data.append(
                      {
                          "Model": colored(model, "light_blue"),
                          "Response": raw_response,  # Colorize the response
                          "ResponseTime": colored(
                              f"{total_time:.2f} seconds", "red"
                          ),
                          "Cost": colored(
                              f"${cost:.6f}", "green"
                          ),  # Colorize the cost
                      }
                  )
  
                  pbar.update(1)
  
          # Separate headers from the data
          headers = [
              "Model",
              "Response",
              "Response Time (seconds)",
              "Cost ($)",
          ]
          colwidths = [15, 80, 15, 10]
  
          # Create a nicely formatted table for the current question
          table = tabulate(
              [list(d.values()) for d in data],
              headers,
              tablefmt="grid",
              maxcolwidths=colwidths,
          )
  
          # Print the table for the current question
          colored_question = colored(question, "green")
          click.echo(f"\nBenchmark Results for '{colored_question}':")
          click.echo(table)
  
file_path: litellm/cookbook/benchmark/benchmark.py
imports: from litellm import completion, completion_cost
  import time
  import click
  from tqdm import tqdm
  from tabulate import tabulate
  from termcolor import colored
  import os
label_desc: Use image node_id 1 for calling a global function with example usage: main(system_prompt) without return types