remove print

This commit is contained in:
Yulong Liu 2024-07-08 17:03:07 -07:00
parent cb025a7f26
commit feb42c91a6

View file

@ -2048,7 +2048,6 @@ def register_model(model_cost: Union[str, dict]):
litellm.model_cost.setdefault(key, {}).update(value)
verbose_logger.debug(f"{key} added to model cost map")
# add new model names to provider lists
print(f"provider: {value.get('litellm_provider')}")
if value.get("litellm_provider") == "openai":
if key not in litellm.open_ai_chat_completion_models:
litellm.open_ai_chat_completion_models.append(key)
@ -8127,7 +8126,7 @@ class CustomStreamWrapper:
if chunk.startswith(self.complete_response):
# Remove last_sent_chunk only if it appears at the start of the new chunk
chunk = chunk[len(self.complete_response) :]
chunk = chunk[len(self.complete_response):]
self.complete_response += chunk
return chunk
@ -10125,7 +10124,7 @@ def mock_completion_streaming_obj(
model_response, mock_response, model, n: Optional[int] = None
):
for i in range(0, len(mock_response), 3):
completion_obj = Delta(role="assistant", content=mock_response[i : i + 3])
completion_obj = Delta(role="assistant", content=mock_response[i: i + 3])
if n is None:
model_response.choices[0].delta = completion_obj
else:
@ -10134,7 +10133,7 @@ def mock_completion_streaming_obj(
_streaming_choice = litellm.utils.StreamingChoices(
index=j,
delta=litellm.utils.Delta(
role="assistant", content=mock_response[i : i + 3]
role="assistant", content=mock_response[i: i + 3]
),
)
_all_choices.append(_streaming_choice)
@ -10146,7 +10145,7 @@ async def async_mock_completion_streaming_obj(
model_response, mock_response, model, n: Optional[int] = None
):
for i in range(0, len(mock_response), 3):
completion_obj = Delta(role="assistant", content=mock_response[i : i + 3])
completion_obj = Delta(role="assistant", content=mock_response[i: i + 3])
if n is None:
model_response.choices[0].delta = completion_obj
else:
@ -10155,7 +10154,7 @@ async def async_mock_completion_streaming_obj(
_streaming_choice = litellm.utils.StreamingChoices(
index=j,
delta=litellm.utils.Delta(
role="assistant", content=mock_response[i : i + 3]
role="assistant", content=mock_response[i: i + 3]
),
)
_all_choices.append(_streaming_choice)