forked from phoenix/litellm-mirror
269 lines
9.3 KiB
Python
269 lines
9.3 KiB
Python
# 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
|
|
# import litellm
|
|
# from litellm import embedding, completion, completion_cost, Timeout
|
|
# from litellm import RateLimitError
|
|
|
|
|
|
# import sys, os, time
|
|
# import traceback
|
|
# from dotenv import load_dotenv
|
|
|
|
# load_dotenv()
|
|
# import os, io
|
|
|
|
# # this file is to test litellm/proxy
|
|
# from concurrent.futures import ThreadPoolExecutor
|
|
|
|
# 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
|
|
# from github import Github
|
|
# import subprocess
|
|
|
|
|
|
# # Function to execute a command and return the output
|
|
# def run_command(command):
|
|
# process = subprocess.Popen(command, stdout=subprocess.PIPE, shell=True)
|
|
# output, _ = process.communicate()
|
|
# return output.decode().strip()
|
|
|
|
|
|
# # Retrieve the current branch name
|
|
# branch_name = run_command("git rev-parse --abbrev-ref HEAD")
|
|
|
|
# # GitHub personal access token (with repo scope) or use username and password
|
|
# access_token = os.getenv("GITHUB_ACCESS_TOKEN")
|
|
# # Instantiate the PyGithub library's Github object
|
|
# g = Github(access_token)
|
|
|
|
# # Provide the owner and name of the repository where the pull request is located
|
|
# repository_owner = "BerriAI"
|
|
# repository_name = "litellm"
|
|
|
|
# # Get the repository object
|
|
# repo = g.get_repo(f"{repository_owner}/{repository_name}")
|
|
|
|
# # Iterate through the pull requests to find the one related to your branch
|
|
# for pr in repo.get_pulls():
|
|
# print(f"in here! {pr.head.ref}")
|
|
# if pr.head.ref == branch_name:
|
|
# pr_number = pr.number
|
|
# break
|
|
|
|
# print(f"The pull request number for branch {branch_name} is: {pr_number}")
|
|
|
|
|
|
# def test_add_new_key():
|
|
# max_retries = 3
|
|
# retry_delay = 10 # 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}"}
|
|
|
|
# endpoint = f"https://litellm-litellm-pr-{pr_number}.up.railway.app"
|
|
|
|
# # Make a request to the staging endpoint
|
|
# response = requests.post(
|
|
# 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}")
|
|
|
|
|
|
# def test_update_new_key():
|
|
# 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}"}
|
|
|
|
# endpoint = f"https://litellm-litellm-pr-{pr_number}.up.railway.app"
|
|
|
|
# # Make a request to the staging endpoint
|
|
# response = requests.post(
|
|
# endpoint + "/key/generate", json=test_data, headers=headers
|
|
# )
|
|
# assert response.status_code == 200
|
|
# result = response.json()
|
|
# assert result["key"].startswith("sk-")
|
|
|
|
# def _post_data():
|
|
# json_data = {"models": ["bedrock-models"], "key": result["key"]}
|
|
# response = requests.post(
|
|
# endpoint + "/key/generate", json=json_data, headers=headers
|
|
# )
|
|
# print(f"response text: {response.text}")
|
|
# assert response.status_code == 200
|
|
# return response
|
|
|
|
# _post_data()
|
|
# print(f"Received response: {result}")
|
|
# except Exception as e:
|
|
# pytest.fail(f"LiteLLM Proxy test failed. Exception: {str(e)}")
|
|
|
|
# def test_add_new_key_max_parallel_limit():
|
|
# try:
|
|
# # Your test data
|
|
# test_data = {"duration": "20m", "max_parallel_requests": 1}
|
|
# # Your bearer token
|
|
# token = os.getenv("PROXY_MASTER_KEY")
|
|
# headers = {"Authorization": f"Bearer {token}"}
|
|
|
|
# endpoint = f"https://litellm-litellm-pr-{pr_number}.up.railway.app"
|
|
# print(f"endpoint: {endpoint}")
|
|
# # Make a request to the staging endpoint
|
|
# response = requests.post(
|
|
# endpoint + "/key/generate", json=test_data, headers=headers
|
|
# )
|
|
# assert response.status_code == 200
|
|
# result = response.json()
|
|
|
|
# # load endpoint with model
|
|
# model_data = {
|
|
# "model_name": "azure-model",
|
|
# "litellm_params": {
|
|
# "model": "azure/chatgpt-v-2",
|
|
# "api_key": os.getenv("AZURE_API_KEY"),
|
|
# "api_base": os.getenv("AZURE_API_BASE"),
|
|
# "api_version": os.getenv("AZURE_API_VERSION")
|
|
# }
|
|
# }
|
|
# response = requests.post(endpoint + "/model/new", json=model_data, headers=headers)
|
|
# assert response.status_code == 200
|
|
# print(f"response text: {response.text}")
|
|
|
|
|
|
# def _post_data():
|
|
# json_data = {
|
|
# "model": "azure-model",
|
|
# "messages": [
|
|
# {
|
|
# "role": "user",
|
|
# "content": f"this is a test request, write a short poem {time.time()}",
|
|
# }
|
|
# ],
|
|
# }
|
|
# # Your bearer token
|
|
# response = requests.post(
|
|
# endpoint + "/chat/completions", json=json_data, headers={"Authorization": f"Bearer {result['key']}"}
|
|
# )
|
|
# return response
|
|
|
|
# def _run_in_parallel():
|
|
# with ThreadPoolExecutor(max_workers=2) as executor:
|
|
# future1 = executor.submit(_post_data)
|
|
# future2 = executor.submit(_post_data)
|
|
|
|
# # Obtain the results from the futures
|
|
# response1 = future1.result()
|
|
# print(f"response1 text: {response1.text}")
|
|
# response2 = future2.result()
|
|
# print(f"response2 text: {response2.text}")
|
|
# if response1.status_code == 429 or response2.status_code == 429:
|
|
# pass
|
|
# else:
|
|
# raise Exception()
|
|
|
|
# _run_in_parallel()
|
|
# except Exception as e:
|
|
# pytest.fail(f"LiteLLM Proxy test failed. Exception: {str(e)}")
|
|
|
|
# def test_add_new_key_max_parallel_limit_streaming():
|
|
# try:
|
|
# # Your test data
|
|
# test_data = {"duration": "20m", "max_parallel_requests": 1}
|
|
# # Your bearer token
|
|
# token = os.getenv("PROXY_MASTER_KEY")
|
|
# headers = {"Authorization": f"Bearer {token}"}
|
|
|
|
# endpoint = f"https://litellm-litellm-pr-{pr_number}.up.railway.app"
|
|
|
|
# # Make a request to the staging endpoint
|
|
# response = requests.post(
|
|
# endpoint + "/key/generate", json=test_data, headers=headers
|
|
# )
|
|
# print(f"response: {response.text}")
|
|
# assert response.status_code == 200
|
|
# result = response.json()
|
|
|
|
# def _post_data():
|
|
# json_data = {
|
|
# "model": "azure-model",
|
|
# "messages": [
|
|
# {
|
|
# "role": "user",
|
|
# "content": f"this is a test request, write a short poem {time.time()}",
|
|
# }
|
|
# ],
|
|
# "stream": True,
|
|
# }
|
|
# response = requests.post(
|
|
# endpoint + "/chat/completions", json=json_data, headers={"Authorization": f"Bearer {result['key']}"}
|
|
# )
|
|
# return response
|
|
|
|
# def _run_in_parallel():
|
|
# with ThreadPoolExecutor(max_workers=2) as executor:
|
|
# future1 = executor.submit(_post_data)
|
|
# future2 = executor.submit(_post_data)
|
|
|
|
# # Obtain the results from the futures
|
|
# response1 = future1.result()
|
|
# response2 = future2.result()
|
|
# if response1.status_code == 429 or response2.status_code == 429:
|
|
# pass
|
|
# else:
|
|
# raise Exception()
|
|
|
|
# _run_in_parallel()
|
|
# except Exception as e:
|
|
# pytest.fail(f"LiteLLM Proxy test failed. Exception: {str(e)}")
|