Spaces:
Configuration error
Configuration error
File size: 3,502 Bytes
447ebeb |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 |
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, logging, asyncio
import litellm
from litellm import embedding, completion, completion_cost, Timeout
from litellm import RateLimitError
# Configure logging
logging.basicConfig(
level=logging.DEBUG, # Set the desired logging level
format="%(asctime)s - %(levelname)s - %(message)s",
)
# test /chat/completion request to the proxy
from fastapi.testclient import TestClient
from fastapi import FastAPI
import os
from litellm.proxy.proxy_server import (
router,
save_worker_config,
initialize,
) # Replace with the actual module where your FastAPI router is defined
# Your bearer token
token = "sk-1234"
headers = {"Authorization": f"Bearer {token}"}
@pytest.fixture(scope="function")
def client_no_auth():
# Assuming litellm.proxy.proxy_server is an object
from litellm.proxy.proxy_server import cleanup_router_config_variables
cleanup_router_config_variables()
filepath = os.path.dirname(os.path.abspath(__file__))
config_fp = f"{filepath}/test_configs/test_config_no_auth.yaml"
# initialize can get run in parallel, it sets specific variables for the fast api app, sinc eit gets run in parallel different tests use the wrong variables
asyncio.run(initialize(config=config_fp, debug=True))
app = FastAPI()
app.include_router(router) # Include your router in the test app
return TestClient(app)
def test_chat_completion(client_no_auth):
global headers
from litellm.types.router import RouterConfig, ModelConfig
from litellm.types.completion import CompletionRequest
user_config = RouterConfig(
model_list=[
ModelConfig(
model_name="user-azure-instance",
litellm_params=CompletionRequest(
model="azure/chatgpt-v-3",
api_key=os.getenv("AZURE_API_KEY"),
api_version=os.getenv("AZURE_API_VERSION"),
api_base=os.getenv("AZURE_API_BASE"),
timeout=10,
),
tpm=240000,
rpm=1800,
),
ModelConfig(
model_name="user-openai-instance",
litellm_params=CompletionRequest(
model="gpt-3.5-turbo",
api_key=os.getenv("OPENAI_API_KEY"),
timeout=10,
),
tpm=240000,
rpm=1800,
),
],
num_retries=2,
allowed_fails=3,
fallbacks=[{"user-azure-instance": ["user-openai-instance"]}],
).dict()
try:
# Your test data
test_data = {
"model": "user-azure-instance",
"messages": [
{"role": "user", "content": "hi"},
],
"max_tokens": 10,
"user_config": user_config,
}
print("testing proxy server with chat completions")
response = client_no_auth.post("/v1/chat/completions", json=test_data)
print(f"response - {response.text}")
assert response.status_code == 200
result = response.json()
print(f"Received response: {result}")
except Exception as e:
pytest.fail(f"LiteLLM Proxy test failed. Exception - {str(e)}")
# Run the test
|