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(fix) add linting check to ban creating AsyncHTTPHandler during LLM calling (#6855)

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* fix triton

* fix TEXT_COMPLETION_CODESTRAL

* fix REPLICATE

* fix CLARIFAI

* fix HUGGINGFACE

* add test_no_async_http_handler_usage

* fix PREDIBASE

* fix anthropic use get_async_httpx_client

* fix vertex fine tuning

* fix dbricks get_async_httpx_client

* fix get_async_httpx_client vertex

* fix get_async_httpx_client

* fix get_async_httpx_client

* fix make_async_azure_httpx_request

* fix check_for_async_http_handler

* test: cleanup mistral model

* add check for AsyncClient

* fix check_for_async_http_handler

* fix get_async_httpx_client

* fix tests using in_memory_llm_clients_cache

* fix langfuse import

* fix import

---------

Co-authored-by: Krrish Dholakia <krrishdholakia@gmail.com>
This commit is contained in:
Ishaan Jaff 2024-11-21 19:03:02 -08:00 • committed by GitHub
parent 71ebf47cef
commit 920f4c9f82
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26 changed files with 288 additions and 62 deletions
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5
litellm/llms/azure_ai/embed/handler.py
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@ -74,7 +74,10 @@ class AzureAIEmbedding(OpenAIChatCompletion):
client: Optional[Union[HTTPHandler, AsyncHTTPHandler]] = None,
) -> EmbeddingResponse:
if client is None or not isinstance(client, AsyncHTTPHandler):
client = AsyncHTTPHandler(timeout=timeout, concurrent_limit=1)
client = get_async_httpx_client(
llm_provider=litellm.LlmProviders.AZURE_AI,
params={"timeout": timeout},
)
url = "{}/images/embeddings".format(api_base)