phoenix/litellm-mirror
0
0
Fork 1
mirror of https://github.com/BerriAI/litellm.git synced 2025-04-26 11:14:04 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

fix(anthropic.py): add more logging

Browse source
This commit is contained in:
Krrish Dholakia 2024-03-12 21:18:38 -07:00
parent d620b4dc5d
commit 55612a6a5f
1 changed files with 6 additions and 8 deletions
Download patch file Download diff file Expand all files Collapse all files

14
litellm/llms/anthropic.py
View file

@ -271,17 +271,14 @@ def completion(
0 0
].finish_reason ].finish_reason
# streaming_model_response.choices = [litellm.utils.StreamingChoices()] # streaming_model_response.choices = [litellm.utils.StreamingChoices()]
streaming_model_response.choices[0].index = model_response.choices[0].index streaming_choice = litellm.utils.StreamingChoices()
streaming_choice.index = model_response.choices[0].index
_tool_calls = [] _tool_calls = []
print_verbose( print_verbose(
f"type of model_response.choices[0]: {type(model_response.choices[0])}" f"type of model_response.choices[0]: {type(model_response.choices[0])}"
) )
print_verbose( print_verbose(f"type of streaming_choice: {type(streaming_choice)}")
f"type of streaming_model_response.choices[0]: {type(streaming_model_response.choices[0])}" if isinstance(model_response.choices[0], litellm.Choices):
)
if isinstance(model_response.choices[0], litellm.Choices) and isinstance(
streaming_model_response.choices[0], litellm.utils.StreamingChoices
):
if getattr( if getattr(
model_response.choices[0].message, "tool_calls", None model_response.choices[0].message, "tool_calls", None
) is not None and isinstance( ) is not None and isinstance(
@ -295,7 +292,8 @@ def completion(
role=model_response.choices[0].message.role, role=model_response.choices[0].message.role,
tool_calls=_tool_calls, tool_calls=_tool_calls,
) )
streaming_model_response.choices[0].delta = delta_obj streaming_choice.delta = delta_obj
streaming_model_response.choices = [streaming_choice]
completion_stream = model_response_iterator( completion_stream = model_response_iterator(
model_response=streaming_model_response model_response=streaming_model_response
) )