fix(main.py): pass api key and api base to openai.py for audio transcription call

litellm/integrations/slack_alerting.py

@@ -1465,6 +1465,8 @@ Model Info:
                         final_value = float(
                             response_s.total_seconds() / completion_tokens
                         )
+                if isinstance(final_value, timedelta):
+                    final_value = final_value.total_seconds()
 
                 await self.async_update_daily_reports(
                     DeploymentMetrics(

litellm/llms/openai.py

@@ -1090,8 +1090,8 @@ class OpenAIChatCompletion(BaseLLM):
         model_response: TranscriptionResponse,
         timeout: float,
         max_retries: int,
-        api_key: Optional[str] = None,
-        api_base: Optional[str] = None,
+        api_key: Optional[str],
+        api_base: Optional[str],
         client=None,
         logging_obj=None,
         atranscription: bool = False,
@@ -1147,7 +1147,6 @@ class OpenAIChatCompletion(BaseLLM):
         max_retries=None,
         logging_obj=None,
     ):
-        response = None
         try:
             if client is None:
                 openai_aclient = AsyncOpenAI(

litellm/main.py

@@ -4130,6 +4130,24 @@ def transcription(
             max_retries=max_retries,
         )
     elif custom_llm_provider == "openai":
+        api_base = (
+            api_base
+            or litellm.api_base
+            or get_secret("OPENAI_API_BASE")
+            or "https://api.openai.com/v1"
+        )  # type: ignore
+        openai.organization = (
+            litellm.organization
+            or get_secret("OPENAI_ORGANIZATION")
+            or None  # default - https://github.com/openai/openai-python/blob/284c1799070c723c6a553337134148a7ab088dd8/openai/util.py#L105
+        )
+        # set API KEY
+        api_key = (
+            api_key
+            or litellm.api_key
+            or litellm.openai_key
+            or get_secret("OPENAI_API_KEY")
+        )  # type: ignore
         response = openai_chat_completions.audio_transcriptions(
             model=model,
             audio_file=file,
@@ -4139,6 +4157,8 @@ def transcription(
             timeout=timeout,
             logging_obj=litellm_logging_obj,
             max_retries=max_retries,
+            api_base=api_base,
+            api_key=api_key,
         )
     return response