use ssl on initialize_azure_sdk_client
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commit
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@ -9,6 +9,7 @@ import litellm
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from litellm._logging import verbose_logger
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from litellm.caching.caching import DualCache
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from litellm.llms.base_llm.chat.transformation import BaseLLMException
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from litellm.llms.openai.openai import OpenAIChatCompletion
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from litellm.secret_managers.get_azure_ad_token_provider import (
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get_azure_ad_token_provider,
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)
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@ -244,7 +245,7 @@ def select_azure_base_url_or_endpoint(azure_client_params: dict):
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return azure_client_params
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class BaseAzureLLM:
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class BaseAzureLLM(OpenAIChatCompletion):
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def get_azure_openai_client(
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self,
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api_key: Optional[str],
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@ -263,6 +264,7 @@ class BaseAzureLLM:
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api_base=api_base,
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model_name=model,
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api_version=api_version,
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is_async=_is_async,
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)
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if _is_async is True:
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openai_client = AsyncAzureOpenAI(**azure_client_params)
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@ -285,6 +287,7 @@ class BaseAzureLLM:
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api_base: Optional[str],
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model_name: Optional[str],
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api_version: Optional[str],
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is_async: bool,
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) -> dict:
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azure_ad_token_provider: Optional[Callable[[], str]] = None
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@ -340,8 +343,13 @@ class BaseAzureLLM:
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"api_version": api_version,
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"azure_ad_token": azure_ad_token,
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"azure_ad_token_provider": azure_ad_token_provider,
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"http_client": litellm.client_session,
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}
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# init http client + SSL Verification settings
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if is_async is True:
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azure_client_params["http_client"] = self._get_async_http_client
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else:
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azure_client_params["http_client"] = self._get_sync_http_client
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if max_retries is not None:
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azure_client_params["max_retries"] = max_retries
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if timeout is not None:
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