diff --git a/litellm/tests/test_exceptions.py b/litellm/tests/test_exceptions.py index c266eaebd31..c640c9ab455 100644 --- a/litellm/tests/test_exceptions.py +++ b/litellm/tests/test_exceptions.py @@ -46,34 +46,34 @@ def test_context_window(model): def logger_fn(model_call_object: dict): print(f"model call details: {model_call_object}") -@pytest.mark.parametrize("model", models) -def invalid_auth(model): # set the model key to an invalid key, depending on the model - messages = [{ "content": "Hello, how are you?","role": "user"}] - try: - azure = False - if model == "gpt-3.5-turbo": - os.environ["OPENAI_API_KEY"] = "bad-key" - elif model == "chatgpt-test": - os.environ["AZURE_API_KEY"] = "bad-key" - azure = True - elif model == "claude-instant-1": - os.environ["ANTHROPIC_API_KEY"] = "bad-key" - elif model == "command-nightly": - os.environ["COHERE_API_KEY"] = "bad-key" - elif model == "replicate/llama-2-70b-chat:2c1608e18606fad2812020dc541930f2d0495ce32eee50074220b87300bc16e1": - os.environ["REPLICATE_API_KEY"] = "bad-key" - os.environ["REPLICATE_API_TOKEN"] = "bad-key" - print(f"model: {model}") - response = completion(model=model, messages=messages, azure=azure, logger_fn=logger_fn) - print(f"response: {response}") - except AuthenticationError as e: - return - except OpenAIError: # is at least an openai error -> in case of random model errors - e.g. overloaded server - return - except Exception as e: - print(f"Uncaught Exception - {e}") - pytest.fail(f"Error occurred: {e}") - return +# @pytest.mark.parametrize("model", models) +# def invalid_auth(model): # set the model key to an invalid key, depending on the model +# messages = [{ "content": "Hello, how are you?","role": "user"}] +# try: +# azure = False +# if model == "gpt-3.5-turbo": +# os.environ["OPENAI_API_KEY"] = "bad-key" +# elif model == "chatgpt-test": +# os.environ["AZURE_API_KEY"] = "bad-key" +# azure = True +# elif model == "claude-instant-1": +# os.environ["ANTHROPIC_API_KEY"] = "bad-key" +# elif model == "command-nightly": +# os.environ["COHERE_API_KEY"] = "bad-key" +# elif model == "replicate/llama-2-70b-chat:2c1608e18606fad2812020dc541930f2d0495ce32eee50074220b87300bc16e1": +# os.environ["REPLICATE_API_KEY"] = "bad-key" +# os.environ["REPLICATE_API_TOKEN"] = "bad-key" +# print(f"model: {model}") +# response = completion(model=model, messages=messages, azure=azure, logger_fn=logger_fn) +# print(f"response: {response}") +# except AuthenticationError as e: +# return +# except OpenAIError: # is at least an openai error -> in case of random model errors - e.g. overloaded server +# return +# except Exception as e: +# print(f"Uncaught Exception - {e}") +# pytest.fail(f"Error occurred: {e}") +# return # # Test 3: Rate Limit Errors