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fix(main.py): handle translating text completion openai to chat completion for async requests
also adds testing for this, to prevent future regressions
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2 changed files with 21 additions and 0 deletions
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@ -317,6 +317,14 @@ async def acompletion(
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response = await init_response
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response = await init_response
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else:
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else:
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response = init_response # type: ignore
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response = init_response # type: ignore
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if custom_llm_provider == "text-completion-openai" and isinstance(
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response, TextCompletionResponse
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):
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response = litellm.OpenAITextCompletionConfig().convert_to_chat_model_response_object(
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response_object=response,
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model_response_object=litellm.ModelResponse(),
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)
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else:
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else:
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# Call the synchronous function using run_in_executor
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# Call the synchronous function using run_in_executor
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response = await loop.run_in_executor(None, func_with_context) # type: ignore
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response = await loop.run_in_executor(None, func_with_context) # type: ignore
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@ -975,6 +975,19 @@ def test_completion_text_openai():
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pytest.fail(f"Error occurred: {e}")
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pytest.fail(f"Error occurred: {e}")
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@pytest.mark.asyncio
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async def test_completion_text_openai_async():
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try:
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# litellm.set_verbose =True
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response = await litellm.acompletion(
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model="gpt-3.5-turbo-instruct", messages=messages
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)
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print(response["choices"][0]["message"]["content"])
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except Exception as e:
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print(e)
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pytest.fail(f"Error occurred: {e}")
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def custom_callback(
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def custom_callback(
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kwargs, # kwargs to completion
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kwargs, # kwargs to completion
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completion_response, # response from completion
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completion_response, # response from completion
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