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adding coverage for openrouter in exception mapping
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parent
436e8eadb2
commit
5bcf612724
6 changed files with 41 additions and 15 deletions
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@ -1,4 +1,4 @@
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# from openai.error import AuthenticationError, InvalidRequestError, RateLimitError, OpenAIError
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from openai.error import AuthenticationError, InvalidRequestError, RateLimitError, OpenAIError
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import os
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import sys
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import traceback
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@ -10,15 +10,17 @@ import litellm
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from litellm import (
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embedding,
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completion,
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AuthenticationError,
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InvalidRequestError,
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# AuthenticationError,
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# InvalidRequestError,
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ContextWindowExceededError,
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RateLimitError,
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ServiceUnavailableError,
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OpenAIError,
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# RateLimitError,
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# ServiceUnavailableError,
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# OpenAIError,
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)
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from concurrent.futures import ThreadPoolExecutor
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import pytest
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litellm.vertex_project = "pathrise-convert-1606954137718"
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litellm.vertex_location = "us-central1"
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litellm.failure_callback = ["sentry"]
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# litellm.set_verbose = True
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@ -33,8 +35,8 @@ litellm.failure_callback = ["sentry"]
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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_model = "j2-light"
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models = ["j2-light"]
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test_model = "claude-instant-1"
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models = ["claude-instant-1"]
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def logging_fn(model_call_dict):
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@ -48,7 +50,7 @@ def logging_fn(model_call_dict):
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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?" * 5000
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sample_text = "how does a court case get to the Supreme Court?" * 1000000
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messages = [{"content": sample_text, "role": "user"}]
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try:
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print(f"model: {model}")
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@ -84,14 +86,12 @@ def invalid_auth(model): # set the model key to an invalid key, depending on th
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messages = [{"content": "Hello, how are you?", "role": "user"}]
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temporary_key = None
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try:
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custom_llm_provider = None
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if model == "gpt-3.5-turbo":
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temporary_key = os.environ["OPENAI_API_KEY"]
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os.environ["OPENAI_API_KEY"] = "bad-key"
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elif model == "chatgpt-test":
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temporary_key = os.environ["AZURE_API_KEY"]
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os.environ["AZURE_API_KEY"] = "bad-key"
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custom_llm_provider = "azure"
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elif model == "claude-instant-1":
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temporary_key = os.environ["ANTHROPIC_API_KEY"]
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os.environ["ANTHROPIC_API_KEY"] = "bad-key"
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@ -104,6 +104,9 @@ def invalid_auth(model): # set the model key to an invalid key, depending on th
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elif "togethercomputer" in model:
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temporary_key = os.environ["TOGETHERAI_API_KEY"]
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os.environ["TOGETHERAI_API_KEY"] = "84060c79880fc49df126d3e87b53f8a463ff6e1c6d27fe64207cde25cdfcd1f24a"
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elif model in litellm.openrouter_models:
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temporary_key = os.environ["OPENROUTER_API_KEY"]
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os.environ["OPENROUTER_API_KEY"] = "bad-key"
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elif (
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model
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== "replicate/llama-2-70b-chat:2c1608e18606fad2812020dc541930f2d0495ce32eee50074220b87300bc16e1"
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@ -112,7 +115,7 @@ def invalid_auth(model): # set the model key to an invalid key, depending on th
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os.environ["REPLICATE_API_KEY"] = "bad-key"
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print(f"model: {model}")
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response = completion(
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model=model, messages=messages, custom_llm_provider=custom_llm_provider
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model=model, messages=messages
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)
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print(f"response: {response}")
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except AuthenticationError as e:
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@ -123,6 +126,7 @@ def invalid_auth(model): # set the model key to an invalid key, depending on th
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print(f"OpenAIError Caught Exception - {e}")
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except Exception as e:
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print(type(e))
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print(type(AuthenticationError))
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print(e.__class__.__name__)
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print(f"Uncaught Exception - {e}")
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pytest.fail(f"Error occurred: {e}")
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