mirror of
https://github.com/BerriAI/litellm.git
synced 2025-04-25 10:44:24 +00:00
237 lines
9.8 KiB
Python
237 lines
9.8 KiB
Python
import sys, os
|
|
import traceback
|
|
from dotenv import load_dotenv
|
|
|
|
load_dotenv()
|
|
import os, io, asyncio
|
|
|
|
# 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__))
|
|
python_file_path = f"{filepath}/test_configs/custom_callbacks.py"
|
|
|
|
# @app.on_event("startup")
|
|
# async def wrapper_startup_event():
|
|
# initialize(config=config_fp)
|
|
|
|
# Use the app fixture in your client fixture
|
|
|
|
def get_client(config_fp):
|
|
filepath = os.path.dirname(os.path.abspath(__file__))
|
|
config_fp = f"{filepath}/test_configs/{config_fp}"
|
|
initialize(config=config_fp)
|
|
app = FastAPI()
|
|
app.include_router(router) # Include your router in the test app
|
|
return TestClient(app)
|
|
|
|
|
|
|
|
# Your bearer token
|
|
token = os.getenv("PROXY_MASTER_KEY")
|
|
|
|
headers = {
|
|
"Authorization": f"Bearer {token}"
|
|
}
|
|
|
|
|
|
print("Testing proxy custom logger")
|
|
|
|
def test_embedding():
|
|
try:
|
|
client = get_client(config_fp="test_custom_logger.yaml")
|
|
litellm.set_verbose=False
|
|
from litellm.proxy.utils import get_instance_fn
|
|
my_custom_logger = get_instance_fn(
|
|
value = "custom_callbacks.my_custom_logger",
|
|
config_file_path=python_file_path
|
|
)
|
|
print("id of initialized custom logger", id(my_custom_logger))
|
|
litellm.callbacks = [my_custom_logger]
|
|
# 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
|
|
print("my_custom_logger", my_custom_logger)
|
|
assert my_custom_logger.async_success_embedding == False
|
|
|
|
test_data = {
|
|
"model": "azure-embedding-model",
|
|
"input": ["hello"]
|
|
}
|
|
response = client.post("/embeddings", json=test_data, headers=headers)
|
|
print("made request", response.status_code, response.text)
|
|
print("vars my custom logger /embeddings", vars(my_custom_logger), "id", id(my_custom_logger))
|
|
assert my_custom_logger.async_success_embedding == 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_embedding_kwargs["model"] == "azure-embedding-model" # checks if kwargs passed to async_log_success_event are correct
|
|
kwargs = my_custom_logger.async_embedding_kwargs
|
|
litellm_params = kwargs.get("litellm_params")
|
|
metadata = litellm_params.get("metadata", None)
|
|
print("\n\n Metadata in custom logger kwargs", litellm_params.get("metadata"))
|
|
assert metadata is not None
|
|
assert "user_api_key" in metadata
|
|
assert "headers" in metadata
|
|
proxy_server_request = litellm_params.get("proxy_server_request")
|
|
model_info = litellm_params.get("model_info")
|
|
assert proxy_server_request == {'url': 'http://testserver/embeddings', 'method': 'POST', 'headers': {'host': 'testserver', 'accept': '*/*', 'accept-encoding': 'gzip, deflate', 'connection': 'keep-alive', 'user-agent': 'testclient', 'authorization': 'Bearer sk-1234', 'content-length': '54', 'content-type': 'application/json'}, 'body': {'model': 'azure-embedding-model', 'input': ['hello']}}
|
|
assert model_info == {'input_cost_per_token': 0.002, 'mode': 'embedding', 'id': 'hello'}
|
|
result = response.json()
|
|
print(f"Received response: {result}")
|
|
print("Passed Embedding custom logger on proxy!")
|
|
except Exception as e:
|
|
pytest.fail(f"LiteLLM Proxy test failed. Exception {str(e)}")
|
|
|
|
|
|
def test_chat_completion():
|
|
try:
|
|
# Your test data
|
|
client = get_client(config_fp="test_custom_logger.yaml")
|
|
print("initialized proxy")
|
|
litellm.set_verbose=False
|
|
from litellm.proxy.utils import get_instance_fn
|
|
my_custom_logger = get_instance_fn(
|
|
value = "custom_callbacks.my_custom_logger",
|
|
config_file_path=python_file_path
|
|
)
|
|
|
|
print("id of initialized custom logger", id(my_custom_logger))
|
|
|
|
litellm.callbacks = [my_custom_logger]
|
|
# import the initialized custom logger
|
|
print(litellm.callbacks)
|
|
|
|
# assert len(litellm.callbacks) == 1 # assert litellm is initialized with 1 callback
|
|
|
|
print("LiteLLM Callbacks", litellm.callbacks)
|
|
print("my_custom_logger", my_custom_logger)
|
|
assert my_custom_logger.async_success == False
|
|
|
|
test_data = {
|
|
"model": "Azure OpenAI GPT-4 Canada",
|
|
"messages": [
|
|
{
|
|
"role": "user",
|
|
"content": "write a litellm poem"
|
|
},
|
|
],
|
|
"max_tokens": 10,
|
|
}
|
|
|
|
|
|
response = client.post("/chat/completions", json=test_data, headers=headers)
|
|
print("made request", response.status_code, response.text)
|
|
print("LiteLLM Callbacks", litellm.callbacks)
|
|
asyncio.sleep(1) # sleep while waiting for callback to run
|
|
|
|
print("my_custom_logger in /chat/completions", my_custom_logger, "id", id(my_custom_logger))
|
|
print("vars my custom logger, ", vars(my_custom_logger))
|
|
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"] == "chatgpt-v-2" # checks if kwargs passed to async_log_success_event are correct
|
|
print("\n\n Custom Logger Async Completion args", my_custom_logger.async_completion_kwargs)
|
|
litellm_params = my_custom_logger.async_completion_kwargs.get("litellm_params")
|
|
metadata = litellm_params.get("metadata", None)
|
|
print("\n\n Metadata in custom logger kwargs", litellm_params.get("metadata"))
|
|
assert metadata is not None
|
|
assert "user_api_key" in metadata
|
|
assert "headers" in metadata
|
|
config_model_info = litellm_params.get("model_info")
|
|
proxy_server_request_object = litellm_params.get("proxy_server_request")
|
|
|
|
assert config_model_info == {'id': 'gm', 'input_cost_per_token': 0.0002, 'mode': 'chat'}
|
|
assert proxy_server_request_object == {'url': 'http://testserver/chat/completions', 'method': 'POST', 'headers': {'host': 'testserver', 'accept': '*/*', 'accept-encoding': 'gzip, deflate', 'connection': 'keep-alive', 'user-agent': 'testclient', 'authorization': 'Bearer sk-1234', 'content-length': '123', 'content-type': 'application/json'}, 'body': {'model': 'Azure OpenAI GPT-4 Canada', 'messages': [{'role': 'user', 'content': 'write a litellm poem'}], 'max_tokens': 10}}
|
|
result = response.json()
|
|
print(f"Received response: {result}")
|
|
print("\nPassed /chat/completions with Custom Logger!")
|
|
except Exception as e:
|
|
pytest.fail(f"LiteLLM Proxy test failed. Exception {str(e)}")
|
|
|
|
|
|
def test_chat_completion_stream():
|
|
try:
|
|
# Your test data
|
|
client = get_client(config_fp="test_custom_logger.yaml")
|
|
litellm.set_verbose=False
|
|
from litellm.proxy.utils import get_instance_fn
|
|
my_custom_logger = get_instance_fn(
|
|
value = "custom_callbacks.my_custom_logger",
|
|
config_file_path=python_file_path
|
|
)
|
|
|
|
print("id of initialized custom logger", id(my_custom_logger))
|
|
|
|
litellm.callbacks = [my_custom_logger]
|
|
import json
|
|
print("initialized proxy")
|
|
# import the initialized custom logger
|
|
print(litellm.callbacks)
|
|
|
|
|
|
print("LiteLLM Callbacks", litellm.callbacks)
|
|
print("my_custom_logger", my_custom_logger)
|
|
|
|
assert my_custom_logger.streaming_response_obj == None # no streaming response obj is set pre call
|
|
|
|
test_data = {
|
|
"model": "Azure OpenAI GPT-4 Canada",
|
|
"messages": [
|
|
{
|
|
"role": "user",
|
|
"content": "write 1 line poem about LiteLLM"
|
|
},
|
|
],
|
|
"max_tokens": 40,
|
|
"stream": True # streaming call
|
|
}
|
|
|
|
|
|
response = client.post("/chat/completions", json=test_data, headers=headers)
|
|
print("made request", response.status_code, response.text)
|
|
complete_response = ""
|
|
for line in response.iter_lines():
|
|
if line:
|
|
# Process the streaming data line here
|
|
print("\n\n Line", line)
|
|
print(line)
|
|
line = str(line)
|
|
|
|
json_data = line.replace('data: ', '')
|
|
|
|
# Parse the JSON string
|
|
data = json.loads(json_data)
|
|
|
|
print("\n\n decode_data", data)
|
|
|
|
# Access the content of choices[0]['message']['content']
|
|
content = data['choices'][0]['delta']['content'] or ""
|
|
|
|
# Process the content as needed
|
|
print("Content:", content)
|
|
|
|
complete_response+= content
|
|
|
|
print("\n\nHERE is the complete streaming response string", complete_response)
|
|
print("\n\nHERE IS the streaming Response from callback\n\n")
|
|
print(my_custom_logger.streaming_response_obj)
|
|
import time
|
|
time.sleep(0.5)
|
|
|
|
streamed_response = my_custom_logger.streaming_response_obj
|
|
assert complete_response == streamed_response["choices"][0]["message"]["content"]
|
|
|
|
except Exception as e:
|
|
pytest.fail(f"LiteLLM Proxy test failed. Exception {str(e)}")
|
|
|