litellm-mirror/litellm/tests/test_proxy_custom_logger.py

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3 KiB
Python

import sys, os
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
import litellm
from litellm import embedding, completion, completion_cost, Timeout
from litellm import RateLimitError
import importlib, inspect
# test /chat/completion request to the proxy
from fastapi.testclient import TestClient
from fastapi import FastAPI
from litellm.proxy.proxy_server import router, save_worker_config, initialize # Replace with the actual module where your FastAPI router is defined
filepath = os.path.dirname(os.path.abspath(__file__))
config_fp = f"{filepath}/test_configs/test_custom_logger.yaml"
python_file_path = f"{filepath}/test_configs/custom_callbacks.py"
save_worker_config(config=config_fp, model=None, alias=None, api_base=None, api_version=None, debug=False, temperature=None, max_tokens=None, request_timeout=600, max_budget=None, telemetry=False, drop_params=True, add_function_to_prompt=False, headers=None, save=False, use_queue=False)
app = FastAPI()
app.include_router(router) # Include your router in the test app
@app.on_event("startup")
async def wrapper_startup_event():
initialize(config=config_fp, model=None, alias=None, api_base=None, api_version=None, debug=True, temperature=None, max_tokens=None, request_timeout=600, max_budget=None, telemetry=False, drop_params=True, add_function_to_prompt=False, headers=None, save=False, use_queue=False)
# Here you create a fixture that will be used by your tests
# Make sure the fixture returns TestClient(app)
@pytest.fixture(autouse=True)
def client():
with TestClient(app) as client:
yield client
def test_chat_completion(client):
try:
# Your test data
print("initialized proxy")
# import the initialized custom logger
print(litellm.callbacks)
assert len(litellm.callbacks) == 1 # assert litellm is initialized with 1 callback
my_custom_logger = litellm.callbacks[0]
assert my_custom_logger.async_success == False
test_data = {
"model": "litellm-test-model",
"messages": [
{
"role": "user",
"content": "hi"
},
],
"max_tokens": 10,
}
response = client.post("/chat/completions", json=test_data)
print("made request", response.status_code, response.text)
assert my_custom_logger.async_success == True # checks if the status of async_success is True, only the async_log_success_event can set this to true
assert my_custom_logger.async_completion_kwargs["model"] == "gpt-3.5-turbo" # checks if kwargs passed to async_log_success_event are correct
result = response.json()
print(f"Received response: {result}")
except Exception as e:
pytest.fail("LiteLLM Proxy test failed. Exception", e)