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add litellm caching

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ishaan-jaff 2023-08-26 16:08:47 -07:00
parent 9155ba068f
commit 77436cbcf4
3 changed files with 19 additions and 17 deletions
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1
.circleci/requirements.txt
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@ -5,3 +5,4 @@ openai
tiktoken tiktoken
importlib_metadata importlib_metadata
baseten baseten
gptcache

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litellm/tests/data_map.txt
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33
litellm/tests/test_caching.py
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@ -48,22 +48,23 @@ def test_caching_with_models():
pytest.fail(f"Error occurred:") pytest.fail(f"Error occurred:")
# def test_gpt_cache(): def test_gpt_cache():
# # INIT GPT Cache # # INIT GPT Cache #
# from gptcache import cache from gptcache import cache
# cache.init() from litellm.cache import completion
# cache.set_openai_key() cache.init()
cache.set_openai_key()
# messages = [{"role": "user", "content": "what is litellm this morning? "}] messages = [{"role": "user", "content": "what is litellm YC 22?"}]
# response2 = litellm.cache.completion(model="gpt-3.5-turbo", messages=messages) response2 = completion(model="gpt-3.5-turbo", messages=messages)
# response3 = litellm.cache.completion(model="command-nightly", messages=messages) response3 = completion(model="command-nightly", messages=messages)
# print(f"response2: {response2}") print(f"response2: {response2}")
# print(f"response3: {response3}") print(f"response3: {response3}")
if response3['choices'] != response2['choices']:
# if models are different, it should not return cached response
print(f"response2: {response2}")
print(f"response3: {response3}")
pytest.fail(f"Error occurred:")
# if response3 != response2:
# # if models are different, it should not return cached response
# print(f"response2: {response2}")
# print(f"response3: {response3}")
# pytest.fail(f"Error occurred:")
# test_gpt_cache()