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