[Bug Fix] Timestamp Granularities are not properly passed to whisper in Azure (#10299)

* test fix form data parsing

* test fix form data parsing

* fix types

litellm/proxy/proxy_server.py

@@ -179,6 +179,7 @@ from litellm.proxy.common_utils.html_forms.ui_login import html_form
 from litellm.proxy.common_utils.http_parsing_utils import (
     _read_request_body,
     check_file_size_under_limit,
+    get_form_data,
 )
 from litellm.proxy.common_utils.load_config_utils import (
     get_config_file_contents_from_gcs,
@@ -804,9 +805,9 @@ model_max_budget_limiter = _PROXY_VirtualKeyModelMaxBudgetLimiter(
     dual_cache=user_api_key_cache
 )
 litellm.logging_callback_manager.add_litellm_callback(model_max_budget_limiter)
-redis_usage_cache: Optional[
-    RedisCache
-] = None  # redis cache used for tracking spend, tpm/rpm limits
+redis_usage_cache: Optional[RedisCache] = (
+    None  # redis cache used for tracking spend, tpm/rpm limits
+)
 user_custom_auth = None
 user_custom_key_generate = None
 user_custom_sso = None
@@ -1132,9 +1133,9 @@ async def update_cache(  # noqa: PLR0915
         _id = "team_id:{}".format(team_id)
         try:
             # Fetch the existing cost for the given user
-            existing_spend_obj: Optional[
-                LiteLLM_TeamTable
-            ] = await user_api_key_cache.async_get_cache(key=_id)
+            existing_spend_obj: Optional[LiteLLM_TeamTable] = (
+                await user_api_key_cache.async_get_cache(key=_id)
+            )
             if existing_spend_obj is None:
                 # do nothing if team not in api key cache
                 return
@@ -2806,9 +2807,9 @@ async def initialize(  # noqa: PLR0915
         user_api_base = api_base
         dynamic_config[user_model]["api_base"] = api_base
     if api_version:
-        os.environ[
-            "AZURE_API_VERSION"
-        ] = api_version  # set this for azure - litellm can read this from the env
+        os.environ["AZURE_API_VERSION"] = (
+            api_version  # set this for azure - litellm can read this from the env
+        )
     if max_tokens:  # model-specific param
         dynamic_config[user_model]["max_tokens"] = max_tokens
     if temperature:  # model-specific param
@@ -4120,7 +4121,7 @@ async def audio_transcriptions(
     data: Dict = {}
     try:
         # Use orjson to parse JSON data, orjson speeds up requests significantly
-        form_data = await request.form()
+        form_data = await get_form_data(request)
         data = {key: value for key, value in form_data.items() if key != "file"}
 
         # Include original request and headers in the data
@@ -7758,9 +7759,9 @@ async def get_config_list(
                             hasattr(sub_field_info, "description")
                             and sub_field_info.description is not None
                         ):
-                            nested_fields[
-                                idx
-                            ].field_description = sub_field_info.description
+                            nested_fields[idx].field_description = (
+                                sub_field_info.description
+                            )
                         idx += 1
 
                     _stored_in_db = None