code: def test_xinference_embedding():
      # [Test Init Xinference] this tests if we init xinference on the router correctly
      # [Test Exception Mapping] tests that xinference is an openai comptiable provider
      print("Testing init xinference")
      print(
          "this tests if we create an OpenAI client for Xinference, with the correct API BASE"
      )
  
      model_list = [
          {
              "model_name": "xinference",
              "litellm_params": {
                  "model": "xinference/bge-base-en",
                  "api_base": "os.environ/XINFERENCE_API_BASE",
              },
          }
      ]
  
      router = Router(model_list=model_list)
  
      print(router.model_list)
      print(router.model_list[0])
  
      assert (
          router.model_list[0]["litellm_params"]["api_base"]
          == "http://0.0.0.0:9997"
      )  # set in env
  
      openai_client = router._get_client(
          deployment=router.model_list[0],
          kwargs={"input": ["hello"], "model": "xinference"},
      )
  
      assert openai_client._base_url == "http://0.0.0.0:9997"
      assert "xinference" in litellm.openai_compatible_providers
      print("passed")
  
file_path: litellm/litellm/tests/test_router_init.py
imports: import sys, os, time
  import traceback, asyncio
  import pytest
  import litellm
  from litellm import Router
  from concurrent.futures import ThreadPoolExecutor
  from collections import defaultdict
  from dotenv import load_dotenv
label_desc: Use image node_id 6 for calling a global function with example usage: test_xinference_embedding() without return types