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(feat) proxy: embeddings-add OpenAI exception mapping
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commit
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2 changed files with 40 additions and 4 deletions
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@ -1115,7 +1115,19 @@ async def embeddings(request: Request, user_api_key_dict: UserAPIKeyAuth = Depen
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except Exception as e:
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await proxy_logging_obj.post_call_failure_hook(user_api_key_dict=user_api_key_dict, original_exception=e)
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traceback.print_exc()
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if isinstance(e, HTTPException):
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raise e
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else:
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error_traceback = traceback.format_exc()
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error_msg = f"{str(e)}\n\n{error_traceback}"
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try:
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status = e.status_code # type: ignore
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except:
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status = 500
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raise HTTPException(
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status_code=status,
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detail=error_msg
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)
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#### KEY MANAGEMENT ####
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@ -73,12 +73,12 @@ def test_chat_completion_exception_azure(client):
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# raise openai.BadRequestError
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# chat/completions openai
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def test_exception_openai_bad_model(client):
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try:
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# Your test data
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test_data = {
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"model": "openai/GPT-12",
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"model": "azure/GPT-12",
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"messages": [
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{
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"role": "user",
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@ -99,7 +99,7 @@ def test_exception_openai_bad_model(client):
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except Exception as e:
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pytest.fail(f"LiteLLM Proxy test failed. Exception {str(e)}")
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# chat/completions any model
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def test_chat_completion_exception_any_model(client):
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try:
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# Your test data
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@ -125,3 +125,27 @@ def test_chat_completion_exception_any_model(client):
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except Exception as e:
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pytest.fail(f"LiteLLM Proxy test failed. Exception {str(e)}")
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# embeddings any model
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def test_embedding_exception_any_model(client):
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try:
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# Your test data
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test_data = {
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"model": "Lite-GPT-12",
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"input": ["hi"]
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}
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response = client.post("/embeddings", json=test_data)
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print("Response from proxy=", response)
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# make an openai client to call _make_status_error_from_response
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openai_client = openai.OpenAI(api_key="anything")
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openai_exception = openai_client._make_status_error_from_response(response=response)
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print("Exception raised=", openai_exception)
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assert isinstance(openai_exception, openai.NotFoundError)
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except Exception as e:
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pytest.fail(f"LiteLLM Proxy test failed. Exception {str(e)}")
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