refactor: move all testing to top-level of repo

Closes https://github.com/BerriAI/litellm/issues/486

tests/local_testing/test_proxy_reject_logging.py

@@ -0,0 +1,192 @@
+# What is this?
+## Unit test that rejected requests are also logged as failures
+
+# What is this?
+## This tests the llm guard integration
+
+import asyncio
+import os
+import random
+
+# What is this?
+## Unit test for presidio pii masking
+import sys
+import time
+import traceback
+from datetime import datetime
+
+from dotenv import load_dotenv
+
+load_dotenv()
+import os
+
+sys.path.insert(
+    0, os.path.abspath("../..")
+)  # Adds the parent directory to the system path
+from typing import Literal
+
+import pytest
+from fastapi import Request, Response
+from starlette.datastructures import URL
+
+import litellm
+from litellm import Router, mock_completion
+from litellm.caching import DualCache
+from litellm.integrations.custom_logger import CustomLogger
+from litellm.proxy._types import UserAPIKeyAuth
+from litellm.proxy.enterprise.enterprise_hooks.secret_detection import (
+    _ENTERPRISE_SecretDetection,
+)
+from litellm.proxy.proxy_server import (
+    Depends,
+    HTTPException,
+    chat_completion,
+    completion,
+    embeddings,
+)
+from litellm.proxy.utils import ProxyLogging, hash_token
+from litellm.router import Router
+
+
+class testLogger(CustomLogger):
+
+    def __init__(self):
+        self.reaches_sync_failure_event = False
+        self.reaches_async_failure_event = False
+
+    async def async_pre_call_hook(
+        self,
+        user_api_key_dict: UserAPIKeyAuth,
+        cache: DualCache,
+        data: dict,
+        call_type: Literal[
+            "completion",
+            "text_completion",
+            "embeddings",
+            "image_generation",
+            "moderation",
+            "audio_transcription",
+            "pass_through_endpoint",
+            "rerank",
+        ],
+    ):
+        raise HTTPException(
+            status_code=429, detail={"error": "Max parallel request limit reached"}
+        )
+
+    async def async_log_failure_event(self, kwargs, response_obj, start_time, end_time):
+        self.reaches_async_failure_event = True
+
+    def log_failure_event(self, kwargs, response_obj, start_time, end_time):
+        self.reaches_sync_failure_event = True
+
+
+router = Router(
+    model_list=[
+        {
+            "model_name": "fake-model",
+            "litellm_params": {
+                "model": "openai/fake",
+                "api_base": "https://exampleopenaiendpoint-production.up.railway.app/",
+                "api_key": "sk-12345",
+            },
+        }
+    ]
+)
+
+
+@pytest.mark.parametrize(
+    "route, body",
+    [
+        (
+            "/v1/chat/completions",
+            {
+                "model": "fake-model",
+                "messages": [
+                    {
+                        "role": "user",
+                        "content": "Hello here is my OPENAI_API_KEY = sk-12345",
+                    }
+                ],
+            },
+        ),
+        ("/v1/completions", {"model": "fake-model", "prompt": "ping"}),
+        (
+            "/v1/embeddings",
+            {
+                "input": "The food was delicious and the waiter...",
+                "model": "text-embedding-ada-002",
+                "encoding_format": "float",
+            },
+        ),
+    ],
+)
+@pytest.mark.asyncio
+async def test_chat_completion_request_with_redaction(route, body):
+    """
+    IMPORTANT Enterprise Test - Do not delete it:
+    Makes a /chat/completions request on LiteLLM Proxy
+
+    Ensures that the secret is redacted EVEN on the callback
+    """
+    from litellm.proxy import proxy_server
+
+    setattr(proxy_server, "llm_router", router)
+    _test_logger = testLogger()
+    litellm.callbacks = [_test_logger]
+    litellm.set_verbose = True
+
+    # Prepare the query string
+    query_params = "param1=value1&param2=value2"
+
+    # Create the Request object with query parameters
+    request = Request(
+        scope={
+            "type": "http",
+            "method": "POST",
+            "headers": [(b"content-type", b"application/json")],
+            "query_string": query_params.encode(),
+        }
+    )
+
+    request._url = URL(url=route)
+
+    async def return_body():
+        import json
+
+        return json.dumps(body).encode()
+
+    request.body = return_body
+
+    try:
+        if route == "/v1/chat/completions":
+            response = await chat_completion(
+                request=request,
+                user_api_key_dict=UserAPIKeyAuth(
+                    api_key="sk-12345", token="hashed_sk-12345", rpm_limit=0
+                ),
+                fastapi_response=Response(),
+            )
+        elif route == "/v1/completions":
+            response = await completion(
+                request=request,
+                user_api_key_dict=UserAPIKeyAuth(
+                    api_key="sk-12345", token="hashed_sk-12345", rpm_limit=0
+                ),
+                fastapi_response=Response(),
+            )
+        elif route == "/v1/embeddings":
+            response = await embeddings(
+                request=request,
+                user_api_key_dict=UserAPIKeyAuth(
+                    api_key="sk-12345", token="hashed_sk-12345", rpm_limit=0
+                ),
+                fastapi_response=Response(),
+            )
+    except:
+        pass
+    await asyncio.sleep(3)
+
+    assert _test_logger.reaches_async_failure_event is True
+
+    assert _test_logger.reaches_sync_failure_event is True