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# import sys, os, time
# import traceback
# from dotenv import load_dotenv
# load_dotenv()
# import os, io
# # this file is to test litellm/proxy
# sys.path.insert(
# 0, os.path.abspath("../..")
# ) # Adds the parent directory to the system path
# import pytest, logging, requests
# import litellm
# from litellm import embedding, completion, completion_cost, Timeout
# from litellm import RateLimitError
# def test_add_new_key():
# max_retries = 3
# retry_delay = 1 # seconds
# for retry in range(max_retries + 1):
# try:
# # Your test data
# test_data = {
# "models": ["gpt-3.5-turbo", "gpt-4", "claude-2", "azure-model"],
# "aliases": {"mistral-7b": "gpt-3.5-turbo"},
# "duration": "20m",
# }
# print("testing proxy server")
# # Your bearer token
# token = os.getenv("PROXY_MASTER_KEY")
# headers = {"Authorization": f"Bearer {token}"}
# staging_endpoint = "https://litellm-litellm-pr-1376.up.railway.app"
# main_endpoint = "https://litellm-staging.up.railway.app"
# # Make a request to the staging endpoint
# response = requests.post(
# main_endpoint + "/key/generate", json=test_data, headers=headers
# )
# print(f"response: {response.text}")
# if response.status_code == 200:
# result = response.json()
# break # Successful response, exit the loop
# elif response.status_code == 503 and retry < max_retries:
# print(
# f"Retrying in {retry_delay} seconds... (Retry {retry + 1}/{max_retries})"
# )
# time.sleep(retry_delay)
# else:
# assert False, f"Unexpected response status code: {response.status_code}"
# except Exception as e:
# print(traceback.format_exc())
# pytest.fail(f"An error occurred {e}")
# test_add_new_key()
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