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(feat) return Azure enahncements used

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ishaan-jaff 2024-01-17 18:43:58 -08:00
parent f4c5c56638
commit debef7544d
1 changed files with 20 additions and 2 deletions
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22
litellm/utils.py
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@ -252,7 +252,13 @@ class Delta(OpenAIObject):
class Choices(OpenAIObject):
def __init__(
self, finish_reason=None, index=0, message=None, logprobs=None, **params
self,
finish_reason=None,
index=0,
message=None,
logprobs=None,
enhancements=None,
**params,
):
super(Choices, self).__init__(**params)
self.finish_reason = (
@ -265,6 +271,8 @@ class Choices(OpenAIObject):
self.message = message
if logprobs is not None:
self.logprobs = logprobs
if enhancements is not None:
self.enhancements = enhancements
def __contains__(self, key):
# Define custom behavior for the 'in' operator
@ -319,6 +327,7 @@ class StreamingChoices(OpenAIObject):
index=0,
delta: Optional[Delta] = None,
logprobs=None,
enhancements=None,
**params,
):
super(StreamingChoices, self).__init__(**params)
@ -334,6 +343,8 @@ class StreamingChoices(OpenAIObject):
if logprobs is not None:
self.logprobs = logprobs
if enhancements is not None:
self.enhancements = enhancements
def __contains__(self, key):
# Define custom behavior for the 'in' operator
@ -5092,8 +5103,13 @@ def convert_to_streaming_response(response_object: Optional[dict] = None):
# gpt-4 vision can return 'finish_reason' or 'finish_details'
finish_reason = choice.get("finish_details")
logprobs = choice.get("logprobs", None)
enhancements = choice.get("enhancements", None)
choice = StreamingChoices(
finish_reason=finish_reason, index=idx, delta=delta, logprobs=logprobs
finish_reason=finish_reason,
index=idx,
delta=delta,
logprobs=logprobs,
enhancements=enhancements,
)
choice_list.append(choice)
@ -5151,11 +5167,13 @@ def convert_to_model_response_object(
# gpt-4 vision can return 'finish_reason' or 'finish_details'
finish_reason = choice.get("finish_details")
logprobs = choice.get("logprobs", None)
enhancements = choice.get("enhancements", None)
choice = Choices(
finish_reason=finish_reason,
index=idx,
message=message,
logprobs=logprobs,
enhancements=enhancements,
)
choice_list.append(choice)
model_response_object.choices = choice_list