diff --git a/litellm/litellm_core_utils/litellm_logging.py b/litellm/litellm_core_utils/litellm_logging.py
index 084b53cd904..70d5b443974 100644
--- a/litellm/litellm_core_utils/litellm_logging.py
+++ b/litellm/litellm_core_utils/litellm_logging.py
@@ -5632,9 +5632,10 @@ def emit_standard_logging_payload(payload: StandardLoggingPayload):
         try:
             print(json.dumps(payload, indent=4, default=str))  # noqa
         except Exception as e:
-            print(
-                "Error serializing standard logging payload for debug output:",
-                str(e),
+            verbose_logger.exception(
+                "Error serializing standard logging payload for debug output: {}".format(
+                    str(e)
+                )
             )
 
 
diff --git a/litellm/llms/gigachat/authenticator.py b/litellm/llms/gigachat/authenticator.py
index ce6d4b3eca9..a20da943ee1 100644
--- a/litellm/llms/gigachat/authenticator.py
+++ b/litellm/llms/gigachat/authenticator.py
@@ -147,9 +147,7 @@ async def get_access_token_async(
         )
 
     scope = scope or litellm_params.get("gigachat_scope") or _get_scope()
-    auth_url = (
-        auth_url or litellm_params.get("gigachat_auth_url") or _get_auth_url()
-    )
+    auth_url = auth_url or litellm_params.get("gigachat_auth_url") or _get_auth_url()
 
     # Check cache
     cache_key = f"gigachat_token:{credentials[:16]}"
diff --git a/litellm/llms/gigachat/chat/streaming.py b/litellm/llms/gigachat/chat/streaming.py
index 2fd5fc22b01..9ef29b2c6cb 100644
--- a/litellm/llms/gigachat/chat/streaming.py
+++ b/litellm/llms/gigachat/chat/streaming.py
@@ -76,7 +76,11 @@ class GigaChatModelResponseIterator:
             usage_data = chunk.get("usage", {})
             if usage_data:
                 usage = convert_usage(usage_data)
-                usage_block = ChatCompletionUsageBlock(**usage.dict())
+                usage_block = ChatCompletionUsageBlock(
+                    prompt_tokens=usage.prompt_tokens,
+                    completion_tokens=usage.completion_tokens,
+                    total_tokens=usage.total_tokens,
+                )
 
         if finish_reason is not None:
             is_finished = True
diff --git a/litellm/llms/gigachat/passthrough/transformation.py b/litellm/llms/gigachat/passthrough/transformation.py
index 43669355f2b..ff2c4ad4986 100644
--- a/litellm/llms/gigachat/passthrough/transformation.py
+++ b/litellm/llms/gigachat/passthrough/transformation.py
@@ -93,44 +93,50 @@ class GigaChatPassthroughConfig(BasePassthroughConfig):
             if provider_chat_config is None:
                 raise ValueError(f"No provider config found for model: {model}")
 
-            litellm_model_response: ModelResponse = provider_chat_config.transform_response(
-                model=model,
-                messages=request_data.get("messages", []),
-                raw_response=httpx_response,
-                model_response=ModelResponse(),
-                logging_obj=logging_obj,
-                optional_params={},
-                litellm_params={},
-                api_key="",
-                request_data=request_data,
-                encoding=encoding,
+            litellm_model_response: ModelResponse = (
+                provider_chat_config.transform_response(
+                    model=model,
+                    messages=request_data.get("messages", []),
+                    raw_response=httpx_response,
+                    model_response=ModelResponse(),
+                    logging_obj=logging_obj,
+                    optional_params={},
+                    litellm_params={},
+                    api_key="",
+                    request_data=request_data,
+                    encoding=encoding,
+                )
             )
 
             return litellm_model_response
-    
+
         if "embeddings" in endpoint:
-            
-            provider_embedding_config = ProviderConfigManager.get_provider_embedding_config(
-                provider=LlmProviders(custom_llm_provider),
-                model=model,
+
+            provider_embedding_config = (
+                ProviderConfigManager.get_provider_embedding_config(
+                    provider=LlmProviders(custom_llm_provider),
+                    model=model,
+                )
             )
 
             if provider_embedding_config is None:
                 raise ValueError(f"No provider config found for model: {model}")
 
-            litellm_embedding_response: EmbeddingResponse = provider_embedding_config.transform_embedding_response(
-                model=model,
-                raw_response=httpx_response,
-                model_response=EmbeddingResponse(),
-                logging_obj=logging_obj,
-                optional_params={},
-                api_key="",
-                request_data=request_data,
-                litellm_params={},
+            litellm_embedding_response: EmbeddingResponse = (
+                provider_embedding_config.transform_embedding_response(
+                    model=model,
+                    raw_response=httpx_response,
+                    model_response=EmbeddingResponse(),
+                    logging_obj=logging_obj,
+                    optional_params={},
+                    api_key="",
+                    request_data=request_data,
+                    litellm_params={},
+                )
             )
 
             return litellm_embedding_response
-        
+
         return None
 
     def handle_logging_collected_chunks(
diff --git a/litellm/proxy/pass_through_endpoints/llm_passthrough_endpoints.py b/litellm/proxy/pass_through_endpoints/llm_passthrough_endpoints.py
index 15852890eec..46d8b32369f 100644
--- a/litellm/proxy/pass_through_endpoints/llm_passthrough_endpoints.py
+++ b/litellm/proxy/pass_through_endpoints/llm_passthrough_endpoints.py
@@ -2461,7 +2461,7 @@ async def gigachat_proxy_route(
     is_router_model = False
 
     model = request_body.get("model")
-    if model:    
+    if model:
         is_router_model = is_passthrough_request_using_router_model(
             request_body, llm_router
         )
@@ -2470,7 +2470,6 @@ async def gigachat_proxy_route(
             status_code=400, detail={"error": "Model is required in request body"}
         )
 
-
     # If router model, use dedicated router passthrough handler
     # This uses the same common processing path as non-router models
     if model and is_router_model and llm_router:
@@ -2582,8 +2581,6 @@ async def handle_gigachat_passthrough_router_model(
     Returns:
         Response or StreamingResponse depending on endpoint type
     """
-    from fastapi import Response as FastAPIResponse
-
     from litellm.proxy.common_request_processing import ProxyBaseLLMRequestProcessing
 
     # Detect streaming based on request body
@@ -2628,7 +2625,13 @@ async def handle_gigachat_passthrough_router_model(
     data["custom_llm_provider"] = "gigachat"
 
     # Remove sensitive keys from data
-    keys = ["gigachat_auth_url", "gigachat_access_token", "gigachat_scope", "api_base", "api_key"]
+    keys = [
+        "gigachat_auth_url",
+        "gigachat_access_token",
+        "gigachat_scope",
+        "api_base",
+        "api_key",
+    ]
     for key in keys:
         data.pop(key, None)