(chore) remvoe bloat testing

This commit is contained in:
ishaan-jaff
2023-11-15 17:33:15 -08:00
parent 63b2b6c9a2
commit 6f0b34c771
2 changed files with 0 additions and 143 deletions
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# #### What this tests ####
# # This tests the ability to set api key's via the params instead of as environment variables
# import sys, os
# import traceback
# sys.path.insert(
# 0, os.path.abspath("../..")
# ) # Adds the parent directory to the system path
# import litellm
# from litellm import embedding, completion
# litellm.set_verbose = False
# def logger_fn(model_call_object: dict):
# print(f"model call details: {model_call_object}")
# user_message = "Hello, how are you?"
# messages = [{"content": user_message, "role": "user"}]
# ## Test 1: Setting key dynamically
# temp_key = os.environ.get("ANTHROPIC_API_KEY", "")
# os.environ["ANTHROPIC_API_KEY"] = "bad-key"
# # test on openai completion call
# try:
# response = completion(
# model="claude-instant-1",
# messages=messages,
# logger_fn=logger_fn,
# api_key=temp_key,
# )
# print(f"response: {response}")
# except:
# print(f"error occurred: {traceback.format_exc()}")
# pass
# os.environ["ANTHROPIC_API_KEY"] = temp_key
# ## Test 2: Setting key via __init__ params
# litellm.anthropic_key = os.environ.get("ANTHROPIC_API_KEY", "")
# os.environ.pop("ANTHROPIC_API_KEY")
# # test on openai completion call
# try:
# response = completion(
# model="claude-instant-1", messages=messages, logger_fn=logger_fn
# )
# print(f"response: {response}")
# except:
# print(f"error occurred: {traceback.format_exc()}")
# pass
# os.environ["ANTHROPIC_API_KEY"] = temp_key
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# #### What this tests ####
# # This tests error logging (with custom user functions) for the `completion` + `embedding` endpoints w/ callbacks
# # This only tests posthog, sentry, and helicone
# import sys, os
# import traceback
# import pytest
# sys.path.insert(
# 0, os.path.abspath("../..")
# ) # Adds the parent directory to the system path
# import litellm
# from litellm import embedding, completion
# litellm.success_callback = ["posthog", "helicone"]
# litellm.failure_callback = ["sentry", "posthog"]
# litellm.set_verbose = True
# def logger_fn(model_call_object: dict):
# # print(f"model call details: {model_call_object}")
# pass
# user_message = "Hello, how are you?"
# messages = [{"content": user_message, "role": "user"}]
# def test_completion_openai():
# try:
# print("running query")
# response = completion(
# model="gpt-3.5-turbo", messages=messages, logger_fn=logger_fn
# )
# print(f"response: {response}")
# # Add any assertions here to check the response
# except Exception as e:
# traceback.print_exc()
# pytest.fail(f"Error occurred: {e}")
# def test_completion_claude():
# try:
# response = completion(
# model="claude-instant-1", messages=messages, logger_fn=logger_fn
# )
# # Add any assertions here to check the response
# except Exception as e:
# pytest.fail(f"Error occurred: {e}")
# def test_completion_non_openai():
# try:
# response = completion(
# model="claude-instant-1", messages=messages, logger_fn=logger_fn
# )
# # Add any assertions here to check the response
# except Exception as e:
# pytest.fail(f"Error occurred: {e}")
# def test_embedding_openai():
# try:
# response = embedding(
# model="text-embedding-ada-002", input=[user_message], logger_fn=logger_fn
# )
# # Add any assertions here to check the response
# print(f"response: {str(response)[:50]}")
# except Exception as e:
# pytest.fail(f"Error occurred: {e}")
# def test_bad_azure_embedding():
# try:
# response = embedding(
# model="chatgpt-test", input=[user_message], logger_fn=logger_fn
# )
# # Add any assertions here to check the response
# print(f"response: {str(response)[:50]}")
# except Exception as e:
# pass
# # def test_good_azure_embedding():
# # try:
# # response = embedding(model='azure/azure-embedding-model', input=[user_message], logger_fn=logger_fn)
# # # Add any assertions here to check the response
# # print(f"response: {str(response)[:50]}")
# # except Exception as e:
# # pytest.fail(f"Error occurred: {e}")