refactor: move all testing to top-level of repo

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

tests/local_testing/test_proxy_server_langfuse.py

@@ -0,0 +1,98 @@
+import os
+import sys
+import traceback
+
+from dotenv import load_dotenv
+
+load_dotenv()
+import io
+import os
+
+# this file is to test litellm/proxy
+
+sys.path.insert(
+    0, os.path.abspath("../..")
+)  # Adds the parent directory to the system path
+import logging
+
+import pytest
+
+import litellm
+from litellm import RateLimitError, Timeout, completion, completion_cost, embedding
+
+# Configure logging
+logging.basicConfig(
+    level=logging.DEBUG,  # Set the desired logging level
+    format="%(asctime)s - %(levelname)s - %(message)s",
+)
+
+from fastapi import FastAPI
+
+# test /chat/completion request to the proxy
+from fastapi.testclient import TestClient
+
+from litellm.proxy.proxy_server import (  # Replace with the actual module where your FastAPI router is defined
+    router,
+    save_worker_config,
+    startup_event,
+)
+
+filepath = os.path.dirname(os.path.abspath(__file__))
+config_fp = f"{filepath}/test_configs/test_config.yaml"
+save_worker_config(
+    config=config_fp,
+    model=None,
+    alias=None,
+    api_base=None,
+    api_version=None,
+    debug=False,
+    temperature=None,
+    max_tokens=None,
+    request_timeout=600,
+    max_budget=None,
+    telemetry=False,
+    drop_params=True,
+    add_function_to_prompt=False,
+    headers=None,
+    save=False,
+    use_queue=False,
+)
+app = FastAPI()
+app.include_router(router)  # Include your router in the test app
+
+
+@app.on_event("startup")
+async def wrapper_startup_event():
+    await startup_event()
+
+
+# Here you create a fixture that will be used by your tests
+# Make sure the fixture returns TestClient(app)
+@pytest.fixture(autouse=True)
+def client():
+    with TestClient(app) as client:
+        yield client
+
+
+@pytest.mark.skip(
+    reason="Init multiple Langfuse clients causing OOM issues. Reduce init clients on ci/cd. "
+)
+def test_chat_completion(client):
+    try:
+        # Your test data
+        test_data = {
+            "model": "gpt-3.5-turbo",
+            "messages": [
+                {"role": "user", "content": "hi"},
+            ],
+            "max_tokens": 10,
+        }
+        print("testing proxy server")
+        headers = {"Authorization": f"Bearer {os.getenv('PROXY_MASTER_KEY')}"}
+        response = client.post("/v1/chat/completions", json=test_data, headers=headers)
+        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)}")