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fix(proxy_server.py): fix callback check order
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3 changed files with 185 additions and 9 deletions
172
litellm/tests/test_proxy_reject_logging.py
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172
litellm/tests/test_proxy_reject_logging.py
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# What is this?
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## Unit test that rejected requests are also logged as failures
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# What is this?
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## This tests the llm guard integration
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import asyncio
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import os
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import random
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# What is this?
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## Unit test for presidio pii masking
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import sys
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import time
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import traceback
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from datetime import datetime
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from dotenv import load_dotenv
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load_dotenv()
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import os
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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
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from fastapi import Request, Response
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from starlette.datastructures import URL
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import litellm
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from litellm import Router, mock_completion
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from litellm.caching import DualCache
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from litellm.integrations.custom_logger import CustomLogger
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from litellm.proxy._types import UserAPIKeyAuth
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from litellm.proxy.enterprise.enterprise_hooks.secret_detection import (
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_ENTERPRISE_SecretDetection,
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)
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from litellm.proxy.proxy_server import (
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Depends,
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HTTPException,
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chat_completion,
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completion,
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embeddings,
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)
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from litellm.proxy.utils import ProxyLogging, hash_token
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from litellm.router import Router
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class testLogger(CustomLogger):
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def __init__(self):
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self.reaches_failure_event = False
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async def async_pre_call_check(self, deployment: dict):
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raise HTTPException(
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status_code=429, detail={"error": "Max parallel request limit reached"}
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)
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async def async_log_failure_event(self, kwargs, response_obj, start_time, end_time):
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self.reaches_failure_event = True
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return await super().async_log_failure_event(
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kwargs, response_obj, start_time, end_time
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)
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router = Router(
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model_list=[
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{
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"model_name": "fake-model",
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"litellm_params": {
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"model": "openai/fake",
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"api_base": "https://exampleopenaiendpoint-production.up.railway.app/",
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"api_key": "sk-12345",
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},
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}
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]
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)
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@pytest.mark.parametrize(
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"route, body",
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[
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(
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"/v1/chat/completions",
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{
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"model": "fake-model",
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"messages": [
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{
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"role": "user",
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"content": "Hello here is my OPENAI_API_KEY = sk-12345",
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}
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],
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},
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),
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# ("/v1/completions", {"model": "fake-model", "prompt": "ping"}),
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# (
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# "/v1/embeddings",
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# {
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# "input": "The food was delicious and the waiter...",
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# "model": "text-embedding-ada-002",
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# "encoding_format": "float",
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# },
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# ),
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],
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)
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@pytest.mark.asyncio
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async def test_chat_completion_request_with_redaction(route, body):
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"""
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IMPORTANT Enterprise Test - Do not delete it:
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Makes a /chat/completions request on LiteLLM Proxy
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Ensures that the secret is redacted EVEN on the callback
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"""
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from litellm.proxy import proxy_server
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setattr(proxy_server, "llm_router", router)
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_test_logger = testLogger()
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litellm.callbacks = [_test_logger]
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litellm.set_verbose = True
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# Prepare the query string
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query_params = "param1=value1¶m2=value2"
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# Create the Request object with query parameters
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request = Request(
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scope={
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"type": "http",
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"method": "POST",
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"headers": [(b"content-type", b"application/json")],
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"query_string": query_params.encode(),
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}
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)
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request._url = URL(url=route)
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async def return_body():
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import json
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return json.dumps(body).encode()
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request.body = return_body
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try:
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if route == "/v1/chat/completions":
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response = await chat_completion(
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request=request,
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user_api_key_dict=UserAPIKeyAuth(
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api_key="sk-12345", token="hashed_sk-12345", rpm_limit=0
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),
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fastapi_response=Response(),
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)
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elif route == "/v1/completions":
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response = await completion(
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request=request,
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user_api_key_dict=UserAPIKeyAuth(
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api_key="sk-12345", token="hashed_sk-12345", rpm_limit=0
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),
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fastapi_response=Response(),
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)
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elif route == "/v1/embeddings":
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response = await embeddings(
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request=request,
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user_api_key_dict=UserAPIKeyAuth(
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api_key="sk-12345", token="hashed_sk-12345", rpm_limit=0
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),
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fastapi_response=Response(),
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)
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except:
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pass
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await asyncio.sleep(3)
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assert _test_logger.reaches_failure_event is True
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