diff --git a/altk/core/llm/providers/openai/openai.py b/altk/core/llm/providers/openai/openai.py
index 52558e5..765e5c1 100644
--- a/altk/core/llm/providers/openai/openai.py
+++ b/altk/core/llm/providers/openai/openai.py
@@ -307,7 +307,7 @@ def generate(  # type: ignore
         self,
         prompt: Union[str, List[Dict[str, str]]],
         schema: Optional[Any] = None,
-        schema_field: Optional[str] = "response_format",
+        schema_field: Optional[str] = None,
         retries: int = 3,
         **kwargs: Any,
     ) -> Union[str, LLMResponse]:
@@ -367,7 +367,7 @@ async def generate_async(
         self,
         prompt: Union[str, List[Dict[str, str]]],
         schema: Optional[Any] = None,
-        schema_field: Optional[str] = "response_format",
+        schema_field: Optional[str] = None,
         retries: int = 3,
         **kwargs: Any,
     ) -> Any:
@@ -491,7 +491,7 @@ def generate(
         self,
         prompt: Union[str, List[Dict[str, str]]],
         schema: Optional[Any] = None,
-        schema_field: Optional[str] = "response_format",
+        schema_field: Optional[str] = None,
         retries: int = 3,
         **kwargs: Any,
     ) -> Any:
@@ -551,7 +551,7 @@ async def generate_async(
         self,
         prompt: Union[str, List[Dict[str, str]]],
         schema: Optional[Any] = None,
-        schema_field: Optional[str] = "response_format",
+        schema_field: Optional[str] = None,
         retries: int = 3,
         **kwargs: Any,
     ) -> Any:
diff --git a/altk/pre_tool/sparc/function_calling/pipeline/semantic_checker.py b/altk/pre_tool/sparc/function_calling/pipeline/semantic_checker.py
index 4906f27..6a08291 100644
--- a/altk/pre_tool/sparc/function_calling/pipeline/semantic_checker.py
+++ b/altk/pre_tool/sparc/function_calling/pipeline/semantic_checker.py
@@ -150,7 +150,7 @@ def extract_all_units_sync(
 
         # Build the "full_spec" JSON Schema snippet for all parameters
         full_spec_json = json.dumps(
-            adapter.get_tool_spec(adapter.get_function_name()).model_dump(),
+            adapter.get_tool_spec(adapter.get_function_name()),
             indent=2,
         )