fix import error

litellm/__init__.py

@@ -923,7 +923,7 @@ from .llms.bedrock.embed.amazon_titan_v2_transformation import (
     AmazonTitanV2Config,
 )
 from .llms.bedrock.embed.cohere_transformation import BedrockCohereEmbeddingConfig
-from .llms.openai import (
+from .llms.OpenAI.openai import (
     OpenAIConfig,
     OpenAITextCompletionConfig,
     MistralConfig,
@@ -938,7 +938,7 @@ from .llms.AI21.chat import AI21ChatConfig
 from .llms.fireworks_ai import FireworksAIConfig
 from .llms.volcengine import VolcEngineConfig
 from .llms.text_completion_codestral import MistralTextCompletionConfig
-from .llms.azure import (
+from .llms.AzureOpenAI.azure import (
     AzureOpenAIConfig,
     AzureOpenAIError,
     AzureOpenAIAssistantsAPIConfig,

litellm/files/main.py

@@ -16,7 +16,7 @@ import httpx
 import litellm
 from litellm import client, get_secret
 from litellm.llms.files_apis.azure import AzureOpenAIFilesAPI
-from litellm.llms.openai import FileDeleted, FileObject, OpenAIFilesAPI
+from litellm.llms.OpenAI.openai import FileDeleted, FileObject, OpenAIFilesAPI
 from litellm.types.llms.openai import (
     Batch,
     CreateFileRequest,

litellm/litellm_core_utils/audio_utils/utils.py

@@ -0,0 +1,23 @@
+"""
+Utils used for litellm.transcription() and litellm.atranscription()
+"""
+
+from litellm.types.utils import FileTypes
+
+
+def get_audio_file_name(file_obj: FileTypes) -> str:
+    """
+    Safely get the name of a file-like object or return its string representation.
+
+    Args:
+        file_obj (Any): A file-like object or any other object.
+
+    Returns:
+        str: The name of the file if available, otherwise a string representation of the object.
+    """
+    if hasattr(file_obj, "name"):
+        return getattr(file_obj, "name")
+    elif hasattr(file_obj, "__str__"):
+        return str(file_obj)
+    else:
+        return repr(file_obj)

litellm/litellm_core_utils/core_helpers.py

@@ -4,7 +4,6 @@ import os
 from typing import List, Literal, Optional, Tuple
 
 from litellm._logging import verbose_logger
-from litellm.types.utils import FileTypes
 
 
 def map_finish_reason(
@@ -87,21 +86,3 @@ def _get_parent_otel_span_from_kwargs(kwargs: Optional[dict] = None):
             return kwargs["litellm_parent_otel_span"]
     except:
         return None
-
-
-def get_audio_file_name(file_obj: FileTypes) -> str:
-    """
-    Safely get the name of a file-like object or return its string representation.
-
-    Args:
-        file_obj (Any): A file-like object or any other object.
-
-    Returns:
-        str: The name of the file if available, otherwise a string representation of the object.
-    """
-    if hasattr(file_obj, "name"):
-        return getattr(file_obj, "name")
-    elif hasattr(file_obj, "__str__"):
-        return str(file_obj)
-    else:
-        return repr(file_obj)

litellm/llms/AzureOpenAI/audio_transcriptions.py

@@ -6,7 +6,7 @@ from openai import AsyncAzureOpenAI, AzureOpenAI
 from pydantic import BaseModel
 
 import litellm
-from litellm.litellm_core_utils.core_helpers import get_audio_file_name
+from litellm.litellm_core_utils.audio_utils.utils import get_audio_file_name
 from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
 from litellm.types.utils import FileTypes
 from litellm.utils import TranscriptionResponse, convert_to_model_response_object

litellm/llms/OpenAI/audio_transcriptions.py

@@ -5,7 +5,7 @@ from openai import AsyncOpenAI, OpenAI
 from pydantic import BaseModel
 
 import litellm
-from litellm.litellm_core_utils.core_helpers import get_audio_file_name
+from litellm.litellm_core_utils.audio_utils.utils import get_audio_file_name
 from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
 from litellm.types.utils import FileTypes
 from litellm.utils import TranscriptionResponse, convert_to_model_response_object

litellm/llms/vertex_ai_and_google_ai_studio/text_to_speech/text_to_speech_handler.py

@@ -12,7 +12,7 @@ from litellm.llms.custom_httpx.http_handler import (
     _get_async_httpx_client,
     _get_httpx_client,
 )
-from litellm.llms.openai import HttpxBinaryResponseContent
+from litellm.llms.OpenAI.openai import HttpxBinaryResponseContent
 from litellm.llms.vertex_ai_and_google_ai_studio.gemini.vertex_and_google_ai_studio_gemini import (
     VertexLLM,
 )

litellm/router_utils/client_initalization_utils.py

@@ -8,7 +8,7 @@ import openai
 
 import litellm
 from litellm._logging import verbose_router_logger
-from litellm.llms.azure import get_azure_ad_token_from_oidc
+from litellm.llms.AzureOpenAI.azure import get_azure_ad_token_from_oidc
 from litellm.secret_managers.get_azure_ad_token_provider import (
     get_azure_ad_token_provider,
 )
@@ -337,7 +337,9 @@ def set_client(litellm_router_instance: LitellmRouter, model: dict):
                     azure_client_params["azure_ad_token_provider"] = (
                         azure_ad_token_provider
                     )
-                from litellm.llms.azure import select_azure_base_url_or_endpoint
+                from litellm.llms.AzureOpenAI.azure import (
+                    select_azure_base_url_or_endpoint,
+                )
 
                 # this decides if we should set azure_endpoint or base_url on Azure OpenAI Client
                 # required to support GPT-4 vision enhancements, since base_url needs to be set on Azure OpenAI Client

litellm/utils.py

@@ -55,12 +55,10 @@ from tokenizers import Tokenizer
 import litellm
 import litellm._service_logger  # for storing API inputs, outputs, and metadata
 import litellm.litellm_core_utils
+import litellm.litellm_core_utils.audio_utils.utils
 import litellm.litellm_core_utils.json_validation_rule
 from litellm.caching import DualCache
-from litellm.litellm_core_utils.core_helpers import (
-    get_audio_file_name,
-    map_finish_reason,
-)
+from litellm.litellm_core_utils.core_helpers import map_finish_reason
 from litellm.litellm_core_utils.exception_mapping_utils import get_error_message
 from litellm.litellm_core_utils.get_llm_provider_logic import (
     _is_non_openai_azure_model,
@@ -567,7 +565,11 @@ def function_setup(
             or call_type == CallTypes.transcription.value
         ):
             _file_obj: FileTypes = args[1] if len(args) > 1 else kwargs["file"]
-            file_checksum = get_audio_file_name(file_obj=_file_obj)
+            file_checksum = (
+                litellm.litellm_core_utils.audio_utils.utils.get_audio_file_name(
+                    file_obj=_file_obj
+                )
+            )
             if "metadata" in kwargs:
                 kwargs["metadata"]["file_checksum"] = file_checksum
             else: