diff --git a/litellm/llms/sap/chat/models.py b/litellm/llms/sap/chat/models.py
index 89a73bfd7cd..c5a430786ef 100644
--- a/litellm/llms/sap/chat/models.py
+++ b/litellm/llms/sap/chat/models.py
@@ -1,9 +1,8 @@
-from typing import Union, Literal, Optional, Any, Self
+from typing import Union, Literal, Optional
 from enum import Enum
 import warnings
 
 from pydantic import BaseModel, Field, field_validator, model_validator
-from pydantic.config import ExtraValues
 
 
 def validate_different_content(v: Union[str, dict, list]) -> str:
diff --git a/litellm/llms/sap/chat/transformation.py b/litellm/llms/sap/chat/transformation.py
index 8a2e75a8ed3..82cc03cf94d 100755
--- a/litellm/llms/sap/chat/transformation.py
+++ b/litellm/llms/sap/chat/transformation.py
@@ -211,18 +211,18 @@ class GenAIHubOrchestrationConfig(OpenAIGPTConfig):
         optional_params = dict(optional_params)
         optional_params.pop("deployment_url", None)
 
-        # Filter strict for GPT models only - SAP AI Core doesn't accept it as a model param
-        # LangChain agents pass strict=true at top level, which fails for GPT models
-        # Anthropic models accept strict, so preserve it for them
-        if model.startswith("gpt") and "strict" in optional_params:
-            optional_params.pop("strict")
-
         def _build_prompt_module(
             *,
             model_name: str,
             template_messages: List[Dict[str, str]],
             params: dict,
         ) -> dict:
+            # Filter strict for GPT models only - SAP AI Core doesn't accept it as a model param
+            # LangChain agents pass strict=true at top level, which fails for GPT models
+            # Anthropic models accept strict, so preserve it for them
+            if model.startswith("gpt") and "strict" in optional_params:
+                optional_params.pop("strict")
+
             model_version = params.pop("model_version", "latest")
 
             tools_ = params.pop("tools", [])
diff --git a/litellm/llms/sap/embed/transformation.py b/litellm/llms/sap/embed/transformation.py
index 1d1f2ae967d..c74f21c3685 100644
--- a/litellm/llms/sap/embed/transformation.py
+++ b/litellm/llms/sap/embed/transformation.py
@@ -164,13 +164,16 @@ class GenAIHubEmbeddingConfig(BaseEmbeddingConfig):
         model_dict["name"] = model
         model_dict["version"] = optional_params.get("version", "latest")
         model_dict["params"] = optional_params.get("parameters", {})
-        if optional_params.get("timeout", None) is not None:
-            model_dict["timeout"] = optional_params.get("timeout")
-        if optional_params.get("max_retries", None) is not None:
-            model_dict["max_retries"] = optional_params.get("max_retries")
+        timeout = optional_params.get("timeout", None)
+        if timeout is not None:
+            model_dict["timeout"] = timeout
+        max_retries = optional_params.get("max_retries", None)
+        if max_retries is not None:
+            model_dict["max_retries"] = max_retries
         input_dict = {"text": input}
-        if optional_params.get("type"):
-            input_dict["type"] = optional_params.get("type")
+        input_type = optional_params.get("type")
+        if input_type is not None:
+            input_dict["type"] = input_type
         masking = optional_params.get("masking")
         masking = {"masking": masking} if masking is not None else {}
         body = {