forked from phoenix/litellm-mirror
113 lines
3.4 KiB
Python
113 lines
3.4 KiB
Python
import sys, os
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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, asyncio
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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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# Configure logging
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logging.basicConfig(
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level=logging.DEBUG, # Set the desired logging level
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format="%(asctime)s - %(levelname)s - %(message)s",
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)
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# test /chat/completion request to the proxy
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from fastapi.testclient import TestClient
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from fastapi import FastAPI
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import os
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from litellm.proxy.proxy_server import (
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router,
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save_worker_config,
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initialize,
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) # Replace with the actual module where your FastAPI router is defined
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# Your bearer token
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token = "sk-1234"
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headers = {"Authorization": f"Bearer {token}"}
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@pytest.fixture(scope="function")
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def client_no_auth():
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# Assuming litellm.proxy.proxy_server is an object
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from litellm.proxy.proxy_server import cleanup_router_config_variables
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cleanup_router_config_variables()
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filepath = os.path.dirname(os.path.abspath(__file__))
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config_fp = f"{filepath}/test_configs/test_config_no_auth.yaml"
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# 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
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asyncio.run(initialize(config=config_fp, debug=True))
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app = FastAPI()
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app.include_router(router) # Include your router in the test app
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return TestClient(app)
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def test_chat_completion(client_no_auth):
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global headers
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from litellm.types.router import RouterConfig, ModelConfig
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from litellm.types.completion import CompletionRequest
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user_config = RouterConfig(
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model_list=[
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ModelConfig(
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model_name="user-azure-instance",
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litellm_params=CompletionRequest(
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model="azure/chatgpt-v-2",
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api_key=os.getenv("AZURE_API_KEY"),
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api_version=os.getenv("AZURE_API_VERSION"),
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api_base=os.getenv("AZURE_API_BASE"),
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timeout=10,
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),
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tpm=240000,
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rpm=1800,
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),
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ModelConfig(
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model_name="user-openai-instance",
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litellm_params=CompletionRequest(
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model="gpt-3.5-turbo",
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api_key=os.getenv("OPENAI_API_KEY"),
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timeout=10,
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),
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tpm=240000,
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rpm=1800,
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),
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],
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num_retries=2,
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allowed_fails=3,
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fallbacks=[{"user-azure-instance": ["user-openai-instance"]}],
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).dict()
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try:
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# Your test data
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test_data = {
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"model": "user-azure-instance",
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"messages": [
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{"role": "user", "content": "hi"},
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],
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"max_tokens": 10,
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"user_config": user_config,
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}
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print("testing proxy server with chat completions")
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response = client_no_auth.post("/v1/chat/completions", json=test_data)
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print(f"response - {response.text}")
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assert response.status_code == 200
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result = response.json()
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print(f"Received response: {result}")
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except Exception as e:
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pytest.fail(f"LiteLLM Proxy test failed. Exception - {str(e)}")
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# Run the test
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