forked from phoenix/litellm-mirror
remove useless tests
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728c5956b3
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2 changed files with 47 additions and 45 deletions
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@ -1,25 +1,27 @@
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# #### What this tests ####
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#### What this tests ####
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# # This tests the ability to set api key's via the params instead of as environment variables
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# This tests the ability to set api key's via the params instead of as environment variables
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# import sys, os
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import sys, os
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# import traceback
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import traceback
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# sys.path.insert(0, os.path.abspath('../..')) # Adds the parent directory to the system path
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sys.path.insert(0, os.path.abspath('../..')) # Adds the parent directory to the system path
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# import litellm
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import litellm
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# from litellm import embedding, completion
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from litellm import embedding, completion
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# litellm.set_verbose = False
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litellm.set_verbose = False
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# def logger_fn(model_call_object: dict):
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def logger_fn(model_call_object: dict):
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# print(f"model call details: {model_call_object}")
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print(f"model call details: {model_call_object}")
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# user_message = "Hello, how are you?"
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user_message = "Hello, how are you?"
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# messages = [{ "content": user_message,"role": "user"}]
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messages = [{ "content": user_message,"role": "user"}]
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# temp_key = os.environ.get("OPENAI_API_KEY")
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temp_key = os.environ.get("OPENAI_API_KEY")
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# os.environ["OPENAI_API_KEY"] = "bad-key"
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os.environ["OPENAI_API_KEY"] = "bad-key"
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# # test on openai completion call
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# test on openai completion call
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# try:
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try:
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# response = completion(model="gpt-3.5-turbo", messages=messages, logger_fn=logger_fn, api_key=temp_key)
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response = completion(model="gpt-3.5-turbo", messages=messages, logger_fn=logger_fn, api_key=temp_key)
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# except:
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except:
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# print(f"error occurred: {traceback.format_exc()}")
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print(f"error occurred: {traceback.format_exc()}")
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# pass
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pass
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os.environ["OPENAI_API_KEY"] = temp_key
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@ -18,33 +18,33 @@ import pytest
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# Approach: Run each model through the test -> assert if the correct error (always the same one) is triggered
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# Approach: Run each model through the test -> assert if the correct error (always the same one) is triggered
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models = ["gpt-3.5-turbo", "chatgpt-test", "claude-instant-1", "command-nightly"]
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# models = ["gpt-3.5-turbo", "chatgpt-test", "claude-instant-1", "command-nightly"]
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# Test 1: Context Window Errors
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# # Test 1: Context Window Errors
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@pytest.mark.parametrize("model", models)
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# @pytest.mark.parametrize("model", models)
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def test_context_window(model):
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# def test_context_window(model):
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sample_text = "how does a court case get to the Supreme Court?" * 100000
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# sample_text = "how does a court case get to the Supreme Court?" * 100000
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messages = [{"content": sample_text, "role": "user"}]
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# messages = [{"content": sample_text, "role": "user"}]
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try:
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# try:
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azure = model == "chatgpt-test"
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# azure = model == "chatgpt-test"
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print(f"model: {model}")
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# print(f"model: {model}")
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response = completion(model=model, messages=messages, azure=azure)
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# response = completion(model=model, messages=messages, azure=azure)
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except InvalidRequestError:
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# except InvalidRequestError:
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print("InvalidRequestError")
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# print("InvalidRequestError")
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return
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# return
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except OpenAIError:
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# except OpenAIError:
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print("OpenAIError")
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# print("OpenAIError")
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return
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# return
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except Exception as e:
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# except Exception as e:
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print("Uncaught Error in test_context_window")
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# print("Uncaught Error in test_context_window")
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print(f"Error Type: {type(e).__name__}")
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# # print(f"Error Type: {type(e).__name__}")
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print(f"Uncaught Exception - {e}")
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# print(f"Uncaught Exception - {e}")
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pytest.fail(f"Error occurred: {e}")
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# pytest.fail(f"Error occurred: {e}")
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return
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# return
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# Test 2: InvalidAuth Errors
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# # Test 2: InvalidAuth Errors
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def logger_fn(model_call_object: dict):
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# def logger_fn(model_call_object: dict):
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print(f"model call details: {model_call_object}")
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# print(f"model call details: {model_call_object}")
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# @pytest.mark.parametrize("model", models)
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# @pytest.mark.parametrize("model", models)
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# def invalid_auth(model): # set the model key to an invalid key, depending on the model
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# def invalid_auth(model): # set the model key to an invalid key, depending on the model
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