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LiteLLM Minor Fixes & Improvements (10/02/2024) (#6023)

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* feat(together_ai/completion): handle together ai completion calls

* fix: handle list of int / list of list of int for text completion calls

* fix(utils.py): check if base model in bedrock converse model list

Fixes https://github.com/BerriAI/litellm/issues/6003

* test(test_optional_params.py): add unit tests for bedrock optional param mapping

Fixes https://github.com/BerriAI/litellm/issues/6003

* feat(utils.py): enable passing dummy tool call for anthropic/bedrock calls if tool_use blocks exist

Fixes https://github.com/BerriAI/litellm/issues/5388

* fixed an issue with tool use of claude models with anthropic and bedrock (#6013)

* fix(utils.py): handle empty schema for anthropic/bedrock

Fixes https://github.com/BerriAI/litellm/issues/6012

* fix: fix linting errors

* fix: fix linting errors

* fix: fix linting errors

* fix(proxy_cli.py): fix import route for app + health checks path (#6026)

* (testing): Enable testing us.anthropic.claude-3-haiku-20240307-v1:0. (#6018)

* fix(proxy_cli.py): fix import route for app + health checks gettsburg.wav

Fixes https://github.com/BerriAI/litellm/issues/5999

---------

Co-authored-by: David Manouchehri <david.manouchehri@ai.moda>

---------

Co-authored-by: Ved Patwardhan <54766411+vedpatwardhan@users.noreply.github.com>
Co-authored-by: David Manouchehri <david.manouchehri@ai.moda>
This commit is contained in:
Krish Dholakia 2024-10-02 22:00:28 -04:00 • committed by GitHub
parent 8995ff49ae
commit 14165d3648
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20 changed files with 443 additions and 125 deletions
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49
litellm/main.py
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@ -112,6 +112,7 @@ from .llms.prompt_templates.factory import (
)
from .llms.sagemaker.sagemaker import SagemakerLLM
from .llms.text_completion_codestral import CodestralTextCompletion
from .llms.together_ai.completion.handler import TogetherAITextCompletion
from .llms.triton import TritonChatCompletion
from .llms.vertex_ai_and_google_ai_studio import (
vertex_ai_anthropic,
@ -168,6 +169,7 @@ openai_o1_chat_completions = OpenAIO1ChatCompletion()
openai_audio_transcriptions = OpenAIAudioTranscription()
databricks_chat_completions = DatabricksChatCompletion()
groq_chat_completions = GroqChatCompletion()
together_ai_text_completions = TogetherAITextCompletion()
azure_ai_chat_completions = AzureAIChatCompletion()
azure_ai_embedding = AzureAIEmbedding()
anthropic_chat_completions = AnthropicChatCompletion()
@ -1285,21 +1287,38 @@ def completion(
prompt = " ".join([message["content"] for message in messages]) # type: ignore
## COMPLETION CALL
_response = openai_text_completions.completion(
model=model,
messages=messages,
model_response=model_response,
print_verbose=print_verbose,
api_key=api_key,
api_base=api_base,
acompletion=acompletion,
client=client, # pass AsyncOpenAI, OpenAI client
logging_obj=logging,
optional_params=optional_params,
litellm_params=litellm_params,
logger_fn=logger_fn,
timeout=timeout, # type: ignore
)
if custom_llm_provider == "together_ai":
_response = together_ai_text_completions.completion(
model=model,
messages=messages,
model_response=model_response,
print_verbose=print_verbose,
api_key=api_key,
api_base=api_base,
acompletion=acompletion,
client=client, # pass AsyncOpenAI, OpenAI client
logging_obj=logging,
optional_params=optional_params,
litellm_params=litellm_params,
logger_fn=logger_fn,
timeout=timeout, # type: ignore
)
else:
_response = openai_text_completions.completion(
model=model,
messages=messages,
model_response=model_response,
print_verbose=print_verbose,
api_key=api_key,
api_base=api_base,
acompletion=acompletion,
client=client, # pass AsyncOpenAI, OpenAI client
logging_obj=logging,
optional_params=optional_params,
litellm_params=litellm_params,
logger_fn=logger_fn,
timeout=timeout, # type: ignore
)
if (
optional_params.get("stream", False) is False