diff --git a/litellm/llms/bedrock/chat/invoke_handler.py b/litellm/llms/bedrock/chat/invoke_handler.py
index 822a2e6ac00..5f335dfdb8e 100644
--- a/litellm/llms/bedrock/chat/invoke_handler.py
+++ b/litellm/llms/bedrock/chat/invoke_handler.py
@@ -1272,15 +1272,15 @@ class BedrockLLM(BaseAWSLLM):
                 return cast(litellm.BEDROCK_INVOKE_PROVIDERS_LITERAL, provider)
         return None
 
+    @staticmethod
     def get_bedrock_model_id(
-        self,
         optional_params: dict,
         provider: Optional[litellm.BEDROCK_INVOKE_PROVIDERS_LITERAL],
         model: str,
     ) -> str:
         modelId = optional_params.pop("model_id", None)
         if modelId is not None:
-            modelId = self.encode_model_id(model_id=modelId)
+            modelId = BedrockLLM.encode_model_id(model_id=modelId)
         else:
             modelId = model
 
@@ -1288,19 +1288,19 @@ class BedrockLLM(BaseAWSLLM):
             modelId, optional_params
         )
         if provider == "llama" and "llama/" in modelId:
-            modelId = self._get_model_id_for_llama_like_model(modelId)
+            modelId = BedrockLLM._get_model_id_for_llama_like_model(modelId)
 
         return modelId
 
+    @staticmethod
     def _get_model_id_for_llama_like_model(
-        self,
         model: str,
     ) -> str:
         """
         Remove `llama` from modelID since `llama` is simply a spec to follow for custom bedrock models
         """
         model_id = model.replace("llama/", "")
-        return self.encode_model_id(model_id=model_id)
+        return BedrockLLM.encode_model_id(model_id=model_id)
 
 
 def get_response_stream_shape():
diff --git a/litellm/llms/bedrock/chat/invoke_transformations/base_invoke_transformation.py b/litellm/llms/bedrock/chat/invoke_transformations/base_invoke_transformation.py
index 8c1205c3c91..b6cf7aa91c4 100644
--- a/litellm/llms/bedrock/chat/invoke_transformations/base_invoke_transformation.py
+++ b/litellm/llms/bedrock/chat/invoke_transformations/base_invoke_transformation.py
@@ -568,15 +568,15 @@ class AmazonInvokeConfig(BaseConfig, BaseAWSLLM):
                 return cast(litellm.BEDROCK_INVOKE_PROVIDERS_LITERAL, provider)
         return None
 
+    @staticmethod
     def get_bedrock_model_id(
-        self,
         optional_params: dict,
         provider: Optional[litellm.BEDROCK_INVOKE_PROVIDERS_LITERAL],
         model: str,
     ) -> str:
         modelId = optional_params.pop("model_id", None)
         if modelId is not None:
-            modelId = self.encode_model_id(model_id=modelId)
+            modelId = AmazonInvokeConfig.encode_model_id(model_id=modelId)
         else:
             modelId = model
 
@@ -585,15 +585,17 @@ class AmazonInvokeConfig(BaseConfig, BaseAWSLLM):
             modelId, optional_params
         )
         if provider == "llama" and "llama/" in modelId:
-            modelId = self._get_model_id_from_model_with_spec(modelId, spec="llama")
+            modelId = AmazonInvokeConfig._get_model_id_from_model_with_spec(
+                modelId, spec="llama"
+            )
         elif provider == "deepseek_r1" and "deepseek_r1/" in modelId:
-            modelId = self._get_model_id_from_model_with_spec(
+            modelId = AmazonInvokeConfig._get_model_id_from_model_with_spec(
                 modelId, spec="deepseek_r1"
             )
         return modelId
 
+    @staticmethod
     def _get_model_id_from_model_with_spec(
-        self,
         model: str,
         spec: str,
     ) -> str:
@@ -601,9 +603,10 @@ class AmazonInvokeConfig(BaseConfig, BaseAWSLLM):
         Remove `llama` from modelID since `llama` is simply a spec to follow for custom bedrock models
         """
         model_id = model.replace(spec + "/", "")
-        return self.encode_model_id(model_id=model_id)
+        return AmazonInvokeConfig.encode_model_id(model_id=model_id)
 
-    def encode_model_id(self, model_id: str) -> str:
+    @staticmethod
+    def encode_model_id(model_id: str) -> str:
         """
         Double encode the model ID to ensure it matches the expected double-encoded format.
         Args:
diff --git a/litellm/llms/gemini/videos/transformation.py b/litellm/llms/gemini/videos/transformation.py
index 99feb8eb6b5..c7116940b22 100644
--- a/litellm/llms/gemini/videos/transformation.py
+++ b/litellm/llms/gemini/videos/transformation.py
@@ -343,7 +343,7 @@ class GeminiVideoConfig(BaseVideoConfig):
             model=model,
         )
 
-        usage_data = {}
+        usage_data: Dict[str, Any] = {}
         if request_data:
             parameters = request_data.get("parameters", {})
             duration = (
diff --git a/litellm/llms/vertex_ai/vertex_embeddings/transformation.py b/litellm/llms/vertex_ai/vertex_embeddings/transformation.py
index a3018c5bd6b..24396628dbd 100644
--- a/litellm/llms/vertex_ai/vertex_embeddings/transformation.py
+++ b/litellm/llms/vertex_ai/vertex_embeddings/transformation.py
@@ -132,7 +132,7 @@ class VertexAITextEmbeddingConfig(BaseModel):
                 vertex_request["labels"] = labels
             return vertex_request
 
-        vertex_request: VertexEmbeddingRequest = VertexEmbeddingRequest()
+        vertex_request = VertexEmbeddingRequest()
         vertex_text_embedding_input_list: List[TextEmbeddingInput] = []
         task_type: Optional[TaskType] = optional_params.get("task_type")
         title = optional_params.get("title")
diff --git a/litellm/llms/vertex_ai/videos/transformation.py b/litellm/llms/vertex_ai/videos/transformation.py
index 83bd9eda674..ed6176cef05 100644
--- a/litellm/llms/vertex_ai/videos/transformation.py
+++ b/litellm/llms/vertex_ai/videos/transformation.py
@@ -363,7 +363,7 @@ class VertexAIVideoConfig(BaseVideoConfig, VertexBase):
             id=video_id, object="video", status="processing", model=model
         )
 
-        usage_data = {}
+        usage_data: Dict[str, Any] = {}
         if request_data:
             parameters = request_data.get("parameters", {})
             duration = (
diff --git a/litellm/responses/litellm_completion_transformation/transformation.py b/litellm/responses/litellm_completion_transformation/transformation.py
index 32bda43eb63..b1986ec0a77 100644
--- a/litellm/responses/litellm_completion_transformation/transformation.py
+++ b/litellm/responses/litellm_completion_transformation/transformation.py
@@ -181,7 +181,7 @@ class LiteLLMCompletionResponsesConfig:
             )
 
         # Extract reasoning_effort from reasoning parameter
-        reasoning_effort = None
+        reasoning_effort: Optional[Any] = None
         reasoning_param = responses_api_request.get("reasoning")
         if reasoning_param:
             if isinstance(reasoning_param, dict):