litellm/tests/test_end_users.py

173 lines
4.8 KiB
Python

# What is this?
## Unit tests for the /end_users/* endpoints
import pytest
import asyncio
import aiohttp
import time
import uuid
from openai import AsyncOpenAI
from typing import Optional
"""
- `/end_user/new`
- `/end_user/info`
"""
async def chat_completion_with_headers(session, key, model="gpt-4"):
url = "http://0.0.0.0:4000/chat/completions"
headers = {
"Authorization": f"Bearer {key}",
"Content-Type": "application/json",
}
data = {
"model": model,
"messages": [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Hello!"},
],
}
async with session.post(url, headers=headers, json=data) as response:
status = response.status
response_text = await response.text()
print(response_text)
print()
if status != 200:
raise Exception(f"Request did not return a 200 status code: {status}")
response_header_check(
response
) # calling the function to check response headers
raw_headers = response.raw_headers
raw_headers_json = {}
for (
item
) in (
response.raw_headers
): # ((b'date', b'Fri, 19 Apr 2024 21:17:29 GMT'), (), )
raw_headers_json[item[0].decode("utf-8")] = item[1].decode("utf-8")
return raw_headers_json
async def generate_key(
session,
i,
budget=None,
budget_duration=None,
models=["azure-models", "gpt-4", "dall-e-3"],
max_parallel_requests: Optional[int] = None,
user_id: Optional[str] = None,
team_id: Optional[str] = None,
calling_key="sk-1234",
):
url = "http://0.0.0.0:4000/key/generate"
headers = {
"Authorization": f"Bearer {calling_key}",
"Content-Type": "application/json",
}
data = {
"models": models,
"aliases": {"mistral-7b": "gpt-3.5-turbo"},
"duration": None,
"max_budget": budget,
"budget_duration": budget_duration,
"max_parallel_requests": max_parallel_requests,
"user_id": user_id,
"team_id": team_id,
}
print(f"data: {data}")
async with session.post(url, headers=headers, json=data) as response:
status = response.status
response_text = await response.text()
print(f"Response {i} (Status code: {status}):")
print(response_text)
print()
if status != 200:
raise Exception(f"Request {i} did not return a 200 status code: {status}")
return await response.json()
async def new_end_user(
session, i, user_id=str(uuid.uuid4()), model_region=None, default_model=None
):
url = "http://0.0.0.0:4000/end_user/new"
headers = {"Authorization": "Bearer sk-1234", "Content-Type": "application/json"}
data = {
"user_id": user_id,
"allowed_model_region": model_region,
"default_model": default_model,
}
async with session.post(url, headers=headers, json=data) as response:
status = response.status
response_text = await response.text()
print(f"Response {i} (Status code: {status}):")
print(response_text)
print()
if status != 200:
raise Exception(f"Request {i} did not return a 200 status code: {status}")
return await response.json()
@pytest.mark.asyncio
async def test_end_user_new():
"""
Make 20 parallel calls to /user/new. Assert all worked.
"""
async with aiohttp.ClientSession() as session:
tasks = [new_end_user(session, i, str(uuid.uuid4())) for i in range(1, 11)]
await asyncio.gather(*tasks)
@pytest.mark.asyncio
async def test_end_user_specific_region():
"""
- Specify region user can make calls in
- Make a generic call
- assert returned api base is for model in region
Repeat 3 times
"""
key: str = ""
## CREATE USER ##
async with aiohttp.ClientSession() as session:
end_user_obj = await new_end_user(
session=session,
i=0,
user_id=str(uuid.uuid4()),
model_region="eu",
)
## MAKE CALL ##
key_gen = await generate_key(session=session, i=0, models=["gpt-3.5-turbo"])
key = key_gen["key"]
for _ in range(3):
client = AsyncOpenAI(api_key=key, base_url="http://0.0.0.0:4000")
print("SENDING USER PARAM - {}".format(end_user_obj["user_id"]))
result = await client.chat.completions.with_raw_response.create(
model="gpt-3.5-turbo",
messages=[{"role": "user", "content": "Hey!"}],
user=end_user_obj["user_id"],
)
assert (
result.headers.get("x-litellm-model-api-base")
== "https://my-endpoint-europe-berri-992.openai.azure.com/"
)