diff --git a/litellm/__init__.py b/litellm/__init__.py
index 0996117449..340e952af4 100644
--- a/litellm/__init__.py
+++ b/litellm/__init__.py
@@ -135,22 +135,22 @@ prometheus_initialize_budget_metrics: Optional[bool] = False
 require_auth_for_metrics_endpoint: Optional[bool] = False
 argilla_batch_size: Optional[int] = None
 datadog_use_v1: Optional[bool] = False  # if you want to use v1 datadog logged payload.
-gcs_pub_sub_use_v1: Optional[
-    bool
-] = False  # if you want to use v1 gcs pubsub logged payload
-generic_api_use_v1: Optional[
-    bool
-] = False  # if you want to use v1 generic api logged payload
+gcs_pub_sub_use_v1: Optional[bool] = (
+    False  # if you want to use v1 gcs pubsub logged payload
+)
+generic_api_use_v1: Optional[bool] = (
+    False  # if you want to use v1 generic api logged payload
+)
 argilla_transformation_object: Optional[Dict[str, Any]] = None
-_async_input_callback: List[
-    Union[str, Callable, CustomLogger]
-] = []  # internal variable - async custom callbacks are routed here.
-_async_success_callback: List[
-    Union[str, Callable, CustomLogger]
-] = []  # internal variable - async custom callbacks are routed here.
-_async_failure_callback: List[
-    Union[str, Callable, CustomLogger]
-] = []  # internal variable - async custom callbacks are routed here.
+_async_input_callback: List[Union[str, Callable, CustomLogger]] = (
+    []
+)  # internal variable - async custom callbacks are routed here.
+_async_success_callback: List[Union[str, Callable, CustomLogger]] = (
+    []
+)  # internal variable - async custom callbacks are routed here.
+_async_failure_callback: List[Union[str, Callable, CustomLogger]] = (
+    []
+)  # internal variable - async custom callbacks are routed here.
 pre_call_rules: List[Callable] = []
 post_call_rules: List[Callable] = []
 turn_off_message_logging: Optional[bool] = False
@@ -158,18 +158,18 @@ log_raw_request_response: bool = False
 redact_messages_in_exceptions: Optional[bool] = False
 redact_user_api_key_info: Optional[bool] = False
 filter_invalid_headers: Optional[bool] = False
-add_user_information_to_llm_headers: Optional[
-    bool
-] = None  # adds user_id, team_id, token hash (params from StandardLoggingMetadata) to request headers
+add_user_information_to_llm_headers: Optional[bool] = (
+    None  # adds user_id, team_id, token hash (params from StandardLoggingMetadata) to request headers
+)
 store_audit_logs = False  # Enterprise feature, allow users to see audit logs
 ### end of callbacks #############
 
-email: Optional[
-    str
-] = None  # Not used anymore, will be removed in next MAJOR release - https://github.com/BerriAI/litellm/discussions/648
-token: Optional[
-    str
-] = None  # Not used anymore, will be removed in next MAJOR release - https://github.com/BerriAI/litellm/discussions/648
+email: Optional[str] = (
+    None  # Not used anymore, will be removed in next MAJOR release - https://github.com/BerriAI/litellm/discussions/648
+)
+token: Optional[str] = (
+    None  # Not used anymore, will be removed in next MAJOR release - https://github.com/BerriAI/litellm/discussions/648
+)
 telemetry = True
 max_tokens: int = DEFAULT_MAX_TOKENS  # OpenAI Defaults
 drop_params = bool(os.getenv("LITELLM_DROP_PARAMS", False))
@@ -253,20 +253,24 @@ enable_loadbalancing_on_batch_endpoints: Optional[bool] = None
 enable_caching_on_provider_specific_optional_params: bool = (
     False  # feature-flag for caching on optional params - e.g. 'top_k'
 )
-caching: bool = False  # Not used anymore, will be removed in next MAJOR release - https://github.com/BerriAI/litellm/discussions/648
-caching_with_models: bool = False  # # Not used anymore, will be removed in next MAJOR release - https://github.com/BerriAI/litellm/discussions/648
-cache: Optional[
-    Cache
-] = None  # cache object <- use this - https://docs.litellm.ai/docs/caching
+caching: bool = (
+    False  # Not used anymore, will be removed in next MAJOR release - https://github.com/BerriAI/litellm/discussions/648
+)
+caching_with_models: bool = (
+    False  # # Not used anymore, will be removed in next MAJOR release - https://github.com/BerriAI/litellm/discussions/648
+)
+cache: Optional[Cache] = (
+    None  # cache object <- use this - https://docs.litellm.ai/docs/caching
+)
 default_in_memory_ttl: Optional[float] = None
 default_redis_ttl: Optional[float] = None
 default_redis_batch_cache_expiry: Optional[float] = None
 model_alias_map: Dict[str, str] = {}
 model_group_alias_map: Dict[str, str] = {}
 max_budget: float = 0.0  # set the max budget across all providers
-budget_duration: Optional[
-    str
-] = None  # proxy only - resets budget after fixed duration. You can set duration as seconds ("30s"), minutes ("30m"), hours ("30h"), days ("30d").
+budget_duration: Optional[str] = (
+    None  # proxy only - resets budget after fixed duration. You can set duration as seconds ("30s"), minutes ("30m"), hours ("30h"), days ("30d").
+)
 default_soft_budget: float = (
     DEFAULT_SOFT_BUDGET  # by default all litellm proxy keys have a soft budget of 50.0
 )
@@ -275,11 +279,15 @@ forward_traceparent_to_llm_provider: bool = False
 
 _current_cost = 0.0  # private variable, used if max budget is set
 error_logs: Dict = {}
-add_function_to_prompt: bool = False  # if function calling not supported by api, append function call details to system prompt
+add_function_to_prompt: bool = (
+    False  # if function calling not supported by api, append function call details to system prompt
+)
 client_session: Optional[httpx.Client] = None
 aclient_session: Optional[httpx.AsyncClient] = None
 model_fallbacks: Optional[List] = None  # Deprecated for 'litellm.fallbacks'
-model_cost_map_url: str = "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json"
+model_cost_map_url: str = (
+    "https://raw.githubusercontent.com/BerriAI/litellm/main/model_prices_and_context_window.json"
+)
 suppress_debug_info = False
 dynamodb_table_name: Optional[str] = None
 s3_callback_params: Optional[Dict] = None
@@ -306,9 +314,13 @@ priority_reservation: Optional[Dict[str, float]] = None
 
 
 ######## Networking Settings ########
-use_aiohttp_transport: bool = True  # Older variable, aiohttp is now the default. use disable_aiohttp_transport instead.
+use_aiohttp_transport: bool = (
+    True  # Older variable, aiohttp is now the default. use disable_aiohttp_transport instead.
+)
 disable_aiohttp_transport: bool = False  # Set this to true to use httpx instead
-force_ipv4: bool = False  # when True, litellm will force ipv4 for all LLM requests. Some users have seen httpx ConnectionError when using ipv6.
+force_ipv4: bool = (
+    False  # when True, litellm will force ipv4 for all LLM requests. Some users have seen httpx ConnectionError when using ipv6.
+)
 module_level_aclient = AsyncHTTPHandler(
     timeout=request_timeout, client_alias="module level aclient"
 )
@@ -322,13 +334,13 @@ fallbacks: Optional[List] = None
 context_window_fallbacks: Optional[List] = None
 content_policy_fallbacks: Optional[List] = None
 allowed_fails: int = 3
-num_retries_per_request: Optional[
-    int
-] = None  # for the request overall (incl. fallbacks + model retries)
+num_retries_per_request: Optional[int] = (
+    None  # for the request overall (incl. fallbacks + model retries)
+)
 ####### SECRET MANAGERS #####################
-secret_manager_client: Optional[
-    Any
-] = None  # list of instantiated key management clients - e.g. azure kv, infisical, etc.
+secret_manager_client: Optional[Any] = (
+    None  # list of instantiated key management clients - e.g. azure kv, infisical, etc.
+)
 _google_kms_resource_name: Optional[str] = None
 _key_management_system: Optional[KeyManagementSystem] = None
 _key_management_settings: KeyManagementSettings = KeyManagementSettings()
@@ -456,6 +468,7 @@ llama_models: List = []
 nscale_models: List = []
 nebius_models: List = []
 nebius_embedding_models: List = []
+deepgram_models: List = []
 
 
 def is_bedrock_pricing_only_model(key: str) -> bool:
@@ -627,6 +640,8 @@ def add_known_models():
             snowflake_models.append(key)
         elif value.get("litellm_provider") == "featherless_ai":
             featherless_ai_models.append(key)
+        elif value.get("litellm_provider") == "deepgram":
+            deepgram_models.append(key)
 
 
 add_known_models()
@@ -708,6 +723,7 @@ model_list = (
     + llama_models
     + featherless_ai_models
     + nscale_models
+    + deepgram_models
 )
 
 model_list_set = set(model_list)
@@ -771,6 +787,7 @@ models_by_provider: dict = {
     "meta_llama": llama_models,
     "nscale": nscale_models,
     "featherless_ai": featherless_ai_models,
+    "deepgram": deepgram_models,
 }
 
 # mapping for those models which have larger equivalents
@@ -1141,12 +1158,12 @@ from .types.llms.custom_llm import CustomLLMItem
 from .types.utils import GenericStreamingChunk
 
 custom_provider_map: List[CustomLLMItem] = []
-_custom_providers: List[
-    str
-] = []  # internal helper util, used to track names of custom providers
-disable_hf_tokenizer_download: Optional[
-    bool
-] = None  # disable huggingface tokenizer download. Defaults to openai clk100
+_custom_providers: List[str] = (
+    []
+)  # internal helper util, used to track names of custom providers
+disable_hf_tokenizer_download: Optional[bool] = (
+    None  # disable huggingface tokenizer download. Defaults to openai clk100
+)
 global_disable_no_log_param: bool = False
 
 ### PASSTHROUGH ###