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test(utils.py): adding logging for azure streaming

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This commit is contained in:
Krrish Dholakia 2023-11-13 17:53:05 -08:00
parent ee952c649e
commit afc19caf0f
2 changed files with 4 additions and 1 deletions
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3
litellm/utils.py
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@ -4458,6 +4458,7 @@ class CustomStreamWrapper:
def chunk_creator(self, chunk):
model_response = ModelResponse(stream=True, model=self.model)
print_verbose(f"model_response finish reason 1: {model_response.choices[0].finish_reason}")
try:
# return this for all models
completion_obj = {"content": ""}
@ -4497,6 +4498,7 @@ class CustomStreamWrapper:
print_verbose(f"len(completion_obj['content']: {len(completion_obj['content'])}")
if response_obj["is_finished"]:
model_response.choices[0].finish_reason = response_obj["finish_reason"]
print_verbose(f"model_response finish reason 2: {model_response.choices[0].finish_reason}")
elif self.custom_llm_provider and self.custom_llm_provider == "maritalk":
response_obj = self.handle_maritalk_chunk(chunk)
completion_obj["content"] = response_obj["text"]
@ -4601,6 +4603,7 @@ class CustomStreamWrapper:
model_response.model = self.model
print_verbose(f"model_response: {model_response}; completion_obj: {completion_obj}")
print_verbose(f"model_response finish reason 3: {model_response.choices[0].finish_reason}")
if len(completion_obj["content"]) > 0: # cannot set content of an OpenAI Object to be an empty string
hold, model_response_str = self.check_special_tokens(completion_obj["content"])
if hold is False: