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LiteLLM Minor Fixes & Improvements (09/16/2024) (#5723) (#5731)

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* LiteLLM Minor Fixes & Improvements (09/16/2024)  (#5723)

* coverage (#5713)

Signed-off-by: dbczumar <corey.zumar@databricks.com>

* Move (#5714)

Signed-off-by: dbczumar <corey.zumar@databricks.com>

* fix(litellm_logging.py): fix logging client re-init (#5710)

Fixes https://github.com/BerriAI/litellm/issues/5695

* fix(presidio.py): Fix logging_hook response and add support for additional presidio variables in guardrails config

Fixes https://github.com/BerriAI/litellm/issues/5682

* feat(o1_handler.py): fake streaming for openai o1 models

Fixes https://github.com/BerriAI/litellm/issues/5694

* docs: deprecated traceloop integration in favor of native otel (#5249)

* fix: fix linting errors

* fix: fix linting errors

* fix(main.py): fix o1 import

---------

Signed-off-by: dbczumar <corey.zumar@databricks.com>
Co-authored-by: Corey Zumar <39497902+dbczumar@users.noreply.github.com>
Co-authored-by: Nir Gazit <nirga@users.noreply.github.com>

* feat(spend_management_endpoints.py): expose `/global/spend/refresh` endpoint for updating material view (#5730)

* feat(spend_management_endpoints.py): expose `/global/spend/refresh` endpoint for updating material view

Supports having `MonthlyGlobalSpend` view be a material view, and exposes an endpoint to refresh it

* fix(custom_logger.py): reset calltype

* fix: fix linting errors

* fix: fix linting error

* fix: fix import

* test(test_databricks.py): fix databricks tests

---------

Signed-off-by: dbczumar <corey.zumar@databricks.com>
Co-authored-by: Corey Zumar <39497902+dbczumar@users.noreply.github.com>
Co-authored-by: Nir Gazit <nirga@users.noreply.github.com>
This commit is contained in:
Krish Dholakia 2024-09-17 08:05:52 -07:00 • committed by GitHub
parent 618ea01ed7
commit 82b542df8f
34 changed files with 1387 additions and 502 deletions
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61
litellm/main.py
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@ -95,6 +95,7 @@ from .llms.custom_llm import CustomLLM, custom_chat_llm_router
from .llms.databricks.chat import DatabricksChatCompletion
from .llms.huggingface_restapi import Huggingface
from .llms.OpenAI.audio_transcriptions import OpenAIAudioTranscription
from .llms.OpenAI.chat.o1_handler import OpenAIO1ChatCompletion
from .llms.OpenAI.openai import OpenAIChatCompletion, OpenAITextCompletion
from .llms.predibase import PredibaseChatCompletion
from .llms.prompt_templates.factory import (
@ -161,6 +162,7 @@ from litellm.utils import (
####### ENVIRONMENT VARIABLES ###################
openai_chat_completions = OpenAIChatCompletion()
openai_text_completions = OpenAITextCompletion()
openai_o1_chat_completions = OpenAIO1ChatCompletion()
openai_audio_transcriptions = OpenAIAudioTranscription()
databricks_chat_completions = DatabricksChatCompletion()
anthropic_chat_completions = AnthropicChatCompletion()
@ -1366,25 +1368,46 @@ def completion(
## COMPLETION CALL
try:
response = openai_chat_completions.completion(
model=model,
messages=messages,
headers=headers,
model_response=model_response,
print_verbose=print_verbose,
api_key=api_key,
api_base=api_base,
acompletion=acompletion,
logging_obj=logging,
optional_params=optional_params,
litellm_params=litellm_params,
logger_fn=logger_fn,
timeout=timeout, # type: ignore
custom_prompt_dict=custom_prompt_dict,
client=client, # pass AsyncOpenAI, OpenAI client
organization=organization,
custom_llm_provider=custom_llm_provider,
)
if litellm.OpenAIO1Config().is_model_o1_reasoning_model(model=model):
response = openai_o1_chat_completions.completion(
model=model,
messages=messages,
headers=headers,
model_response=model_response,
print_verbose=print_verbose,
api_key=api_key,
api_base=api_base,
acompletion=acompletion,
logging_obj=logging,
optional_params=optional_params,
litellm_params=litellm_params,
logger_fn=logger_fn,
timeout=timeout, # type: ignore
custom_prompt_dict=custom_prompt_dict,
client=client, # pass AsyncOpenAI, OpenAI client
organization=organization,
custom_llm_provider=custom_llm_provider,
)
else:
response = openai_chat_completions.completion(
model=model,
messages=messages,
headers=headers,
model_response=model_response,
print_verbose=print_verbose,
api_key=api_key,
api_base=api_base,
acompletion=acompletion,
logging_obj=logging,
optional_params=optional_params,
litellm_params=litellm_params,
logger_fn=logger_fn,
timeout=timeout, # type: ignore
custom_prompt_dict=custom_prompt_dict,
client=client, # pass AsyncOpenAI, OpenAI client
organization=organization,
custom_llm_provider=custom_llm_provider,
)
except Exception as e:
## LOGGING - log the original exception returned
logging.post_call(