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fix(utils.py): return function call as part of response object
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commit
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5 changed files with 52 additions and 87 deletions
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@ -1,7 +1,7 @@
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from typing import Optional, Union
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import types, requests
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from .base import BaseLLM
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from litellm.utils import ModelResponse, Choices, Message, CustomStreamWrapper
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from litellm.utils import ModelResponse, Choices, Message, CustomStreamWrapper, convert_to_model_response_object
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from typing import Callable, Optional
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import aiohttp
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@ -157,29 +157,6 @@ class OpenAIChatCompletion(BaseLLM):
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if api_key:
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headers["Authorization"] = f"Bearer {api_key}"
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return headers
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def convert_to_model_response_object(self, response_object: Optional[dict]=None, model_response_object: Optional[ModelResponse]=None):
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try:
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if response_object is None or model_response_object is None:
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raise OpenAIError(status_code=500, message="Error in response object format")
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choice_list=[]
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for idx, choice in enumerate(response_object["choices"]):
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message = Message(content=choice["message"]["content"], role=choice["message"]["role"])
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choice = Choices(finish_reason=choice["finish_reason"], index=idx, message=message)
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choice_list.append(choice)
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model_response_object.choices = choice_list
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if "usage" in response_object:
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model_response_object.usage = response_object["usage"]
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if "id" in response_object:
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model_response_object.id = response_object["id"]
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if "model" in response_object:
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model_response_object.model = response_object["model"]
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return model_response_object
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except:
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OpenAIError(status_code=500, message="Invalid response object.")
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def completion(self,
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model_response: ModelResponse,
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@ -245,7 +222,7 @@ class OpenAIChatCompletion(BaseLLM):
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raise OpenAIError(status_code=response.status_code, message=response.text)
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## RESPONSE OBJECT
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return self.convert_to_model_response_object(response_object=response.json(), model_response_object=model_response)
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return convert_to_model_response_object(response_object=response.json(), model_response_object=model_response)
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except Exception as e:
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if "Conversation roles must alternate user/assistant" in str(e) or "user and assistant roles should be alternating" in str(e):
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# reformat messages to ensure user/assistant are alternating, if there's either 2 consecutive 'user' messages or 2 consecutive 'assistant' message, add a blank 'user' or 'assistant' message to ensure compatibility
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@ -287,7 +264,7 @@ class OpenAIChatCompletion(BaseLLM):
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## RESPONSE OBJECT
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return self.convert_to_model_response_object(response_object=response_json, model_response_object=model_response)
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return convert_to_model_response_object(response_object=response_json, model_response_object=model_response)
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async def async_streaming(self,
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logging_obj,
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