From 48dede9367bd50a6b80abcc8e441629c504a394c Mon Sep 17 00:00:00 2001 From: Ishaan Jaff Date: Sat, 19 Jul 2025 15:58:25 -0700 Subject: [PATCH] test_redis_proxy_batch_redis_get_cache --- tests/local_testing/test_caching.py | 110 +--------------------------- 1 file changed, 1 insertion(+), 109 deletions(-) diff --git a/tests/local_testing/test_caching.py b/tests/local_testing/test_caching.py index 8bbe63c5468..26df08ecc64 100644 --- a/tests/local_testing/test_caching.py +++ b/tests/local_testing/test_caching.py @@ -1883,116 +1883,7 @@ def test_caching_redis_simple(caplog, capsys): assert "async success_callback: reaches cache for logging" not in captured.out -@pytest.mark.flaky(retries=3, delay=1) -@pytest.mark.asyncio -async def test_qdrant_semantic_cache_acompletion(): - litellm.set_verbose = True - random_number = random.randint( - 1, 100000 - ) # add a random number to ensure it's always adding /reading from cache - print("Testing Qdrant Semantic Caching with acompletion") - - litellm.cache = Cache( - type="qdrant-semantic", - _host_type="cloud", - qdrant_api_base=os.getenv("QDRANT_URL"), - qdrant_api_key=os.getenv("QDRANT_API_KEY"), - qdrant_collection_name="test_collection", - similarity_threshold=0.8, - qdrant_quantization_config="binary", - ) - - response1 = await litellm.acompletion( - model="gpt-3.5-turbo", - messages=[ - { - "role": "user", - "content": f"write a one sentence poem about: {random_number}", - } - ], - mock_response="hello", - max_tokens=20, - ) - print(f"Response1: {response1}") - - random_number = random.randint(1, 100000) - - response2 = await litellm.acompletion( - model="gpt-3.5-turbo", - messages=[ - { - "role": "user", - "content": f"write a one sentence poem about: {random_number}", - } - ], - max_tokens=20, - ) - print(f"Response2: {response2}") - assert response1.id == response2.id - - -@pytest.mark.asyncio -async def test_qdrant_semantic_cache_acompletion_stream(): - try: - random_word = generate_random_word() - messages = [ - { - "role": "user", - "content": f"write a joke about: {random_word}", - } - ] - litellm.cache = Cache( - type="qdrant-semantic", - qdrant_api_base=os.getenv("QDRANT_URL"), - qdrant_api_key=os.getenv("QDRANT_API_KEY"), - qdrant_collection_name="test_collection", - similarity_threshold=0.8, - qdrant_quantization_config="binary", - ) - print("Test Qdrant Semantic Caching with streaming + acompletion") - response_1_content = "" - response_2_content = "" - - response1 = await litellm.acompletion( - model="gpt-3.5-turbo", - messages=messages, - max_tokens=40, - temperature=1, - stream=True, - mock_response="hi", - ) - async for chunk in response1: - response_1_id = chunk.id - response_1_content += chunk.choices[0].delta.content or "" - - time.sleep(2) - - response2 = await litellm.acompletion( - model="gpt-3.5-turbo", - messages=messages, - max_tokens=40, - temperature=1, - stream=True, - ) - async for chunk in response2: - response_2_id = chunk.id - response_2_content += chunk.choices[0].delta.content or "" - - print("\nResponse 1", response_1_content, "\nResponse 1 id", response_1_id) - print("\nResponse 2", response_2_content, "\nResponse 2 id", response_2_id) - assert ( - response_1_content == response_2_content - ), f"Response 1 != Response 2. Same params, Response 1{response_1_content} != Response 2{response_2_content}" - assert ( - response_1_id == response_2_id - ), f"Response 1 id != Response 2 id, Response 1 id: {response_1_id} != Response 2 id: {response_2_id}" - litellm.cache = None - litellm.success_callback = [] - litellm._async_success_callback = [] - except Exception as e: - print(f"{str(e)}\n\n{traceback.format_exc()}") - raise e @pytest.mark.asyncio() @@ -2132,6 +2023,7 @@ async def test_redis_sentinel_caching(): @pytest.mark.asyncio +@pytest.mark.flaky(retries=3, delay=2) async def test_redis_proxy_batch_redis_get_cache(): """ Tests batch_redis_get.py