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add community resources
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10 changed files with 63 additions and 29 deletions
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@ -8,6 +8,7 @@ from litellm import embedding, completion
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from concurrent.futures import ThreadPoolExecutor
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import pytest
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# litellm.set_verbose = True
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#### What this tests ####
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# This tests exception mapping -> trigger an exception from an llm provider -> assert if output is of the expected type
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@ -19,29 +20,32 @@ 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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# 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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# @pytest.mark.parametrize("model", models)
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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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# messages = [{"content": sample_text, "role": "user"}]
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# try:
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# azure = model == "chatgpt-test"
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# print(f"model: {model}")
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# response = completion(model=model, messages=messages, azure=azure)
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# except InvalidRequestError:
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# print("InvalidRequestError")
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# return
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# except OpenAIError:
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# print("OpenAIError")
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# return
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# except Exception as e:
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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"Uncaught Exception - {e}")
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# pytest.fail(f"Error occurred: {e}")
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# return
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models = ["command-nightly"]
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def logging_fn(model_call_dict):
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print(f"model_call_dict: {model_call_dict['model']}")
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# Test 1: Context Window Errors
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@pytest.mark.parametrize("model", models)
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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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messages = [{"content": sample_text, "role": "user"}]
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try:
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azure = model == "chatgpt-test"
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print(f"model: {model}")
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response = completion(model=model, messages=messages, azure=azure, logger_fn=logging_fn)
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print(f"response: {response}")
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except InvalidRequestError:
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print("InvalidRequestError")
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return
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except OpenAIError:
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print("OpenAIError")
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return
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except Exception as e:
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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"Uncaught Exception - {e}")
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pytest.fail(f"Error occurred: {e}")
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return
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test_context_window("command-nightly")
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# # Test 2: InvalidAuth Errors
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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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@ -64,7 +68,7 @@ import pytest
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# os.environ["REPLICATE_API_KEY"] = "bad-key"
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# os.environ["REPLICATE_API_TOKEN"] = "bad-key"
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# print(f"model: {model}")
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# response = completion(model=model, messages=messages, azure=azure, logger_fn=logger_fn)
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# response = completion(model=model, messages=messages, azure=azure)
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# print(f"response: {response}")
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# except AuthenticationError as e:
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# return
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@ -75,7 +79,6 @@ import pytest
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# pytest.fail(f"Error occurred: {e}")
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# return
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# # Test 3: Rate Limit Errors
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# def test_model(model):
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# try:
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