diff --git a/litellm/tests/test_caching.py b/litellm/tests/test_caching.py
index 7e11779c1..83188b5ba 100644
--- a/litellm/tests/test_caching.py
+++ b/litellm/tests/test_caching.py
@@ -19,52 +19,6 @@ messages = [{"role": "user", "content": "who is ishaan Github?  "}]
 # comment
 
 
-def test_gpt_cache():
-    try: 
-      # INIT GPT Cache #
-      from gptcache import cache
-      import gptcache
-
-      from gptcache.processor.pre import last_content_without_prompt
-      from litellm.gpt_cache import completion
-      from typing import Dict, Any
-
-      def pre_cache_func(data: Dict[str, Any], **params: Dict[str, Any]) -> Any:
-          # use this to set cache key
-          print("in do nothing")
-          last_content_without_prompt_val = last_content_without_prompt(data, **params)
-          print("last content without prompt", last_content_without_prompt_val)
-          print("model", data["model"])
-          cache_key = last_content_without_prompt_val + data["model"]
-          print("cache_key", cache_key)
-          return cache_key
-
-
-      cache.init(pre_func=pre_cache_func)
-      cache.set_openai_key()
-
-      messages = [{"role": "user", "content": "why should I use LiteLLM today"}]
-      response1 = completion(model="gpt-3.5-turbo", messages=messages)
-      response2 = completion(model="gpt-3.5-turbo", messages=messages)
-      response3 = completion(model="command-nightly", messages=messages)
-
-      if response1["choices"] != response2["choices"]: # same models should cache
-          print(f"response1: {response1}")
-          print(f"response2: {response2}")
-          pytest.fail(f"Error occurred:")
-
-      if response3["choices"] == response2["choices"]: # different models, don't cache
-          # if models are different, it should not return cached response
-          print(f"response2: {response2}")
-          print(f"response3: {response3}")
-          pytest.fail(f"Error occurred:")
-    except: 
-        pass
-
-
-# test_gpt_cache() 
-
-
 ####### Updated Caching as of Aug 28, 2023 ###################
 messages = [{"role": "user", "content": "who is ishaan 5222"}]
 def test_caching_v2():
@@ -198,82 +152,6 @@ def test_embedding_caching_azure():
 # test_embedding_caching_azure()
 
 
-# test caching with streaming
-# flaky test on circle ci for some reason? 
-# def test_caching_v2_stream_basic():
-#     try:
-#         litellm.cache = Cache()
-#         messages = [{"role": "user", "content": "tell me a story in 2 sentences"}]
-#         response1 = completion(model="gpt-3.5-turbo", messages=messages, stream=True)
-
-#         result_string = ""
-#         for chunk in response1:
-#             print(chunk)
-#             result_string+=chunk['choices'][0]['delta']['content']
-#             # response1_id = chunk['id']
-
-#         print("current cache")
-#         print(litellm.cache.cache.cache_dict)
-
-#         result2_string=""
-#         import time
-#         time.sleep(1)
-#         response2 = completion(model="gpt-3.5-turbo", messages=messages, stream=True)
-#         for chunk in response2:
-#             print(chunk)
-#             result2_string+=chunk['choices'][0]['delta']['content']
-#         if result_string != result2_string:
-#             print(result_string)
-#             print(result2_string)
-#             pytest.fail(f"Error occurred: Caching with streaming failed, strings diff")
-#         litellm.cache = None
-
-#     except Exception as e:
-#         print(f"error occurred: {traceback.format_exc()}")
-#         pytest.fail(f"Error occurred: {e}")
-
-# test_caching_v2_stream_basic()
-
-# def test_caching_v2_stream():
-#     try:
-#         litellm.cache = Cache()
-#         # litellm.token="ishaan@berri.ai"
-#         messages = [{"role": "user", "content": "tell me a story in 2 sentences"}]
-#         response1 = completion(model="gpt-3.5-turbo", messages=messages, stream=True)
-
-#         messages = [{"role": "user", "content": "tell me a chair"}]
-#         response7 = completion(model="command-nightly", messages=messages)
-#         messages = [{"role": "user", "content": "sing a song"}]
-#         response8 = completion(model="gpt-3.5-turbo", messages=messages, stream=True)
-
-#         result_string = ""
-#         for chunk in response1:
-#             print(chunk)
-#             result_string+=chunk['choices'][0]['delta']['content']
-#             # response1_id = chunk['id']
-
-#         print("current cache")
-#         messages = [{"role": "user", "content": "tell me a story in 2 sentences"}]
-#         print(litellm.cache.cache.cache_dict)
-
-#         result2_string=""
-#         response2 = completion(model="gpt-3.5-turbo", messages=messages, stream=True)
-#         for chunk in response2:
-#             print(chunk)
-#             result2_string+=chunk['choices'][0]['delta']['content']
-#         if result_string != result2_string:
-#             print(result_string)
-#             print(result2_string)
-#             pytest.fail(f"Error occurred: Caching with streaming failed, strings diff")
-#         litellm.cache = None
-
-#     except Exception as e:
-#         print(f"error occurred: {traceback.format_exc()}")
-#         pytest.fail(f"Error occurred: {e}")
-
-# test_caching_v2_stream()
-
-
 def test_redis_cache_completion():
     litellm.set_verbose = True
     messages = [{"role": "user", "content": "who is ishaan CTO of litellm from litellm 2023"}]