diff --git a/opensearch_py_ml/ml_commons/ml_commons_client.py b/opensearch_py_ml/ml_commons/ml_commons_client.py
index 87de79b1..f304b1bb 100644
--- a/opensearch_py_ml/ml_commons/ml_commons_client.py
+++ b/opensearch_py_ml/ml_commons/ml_commons_client.py
@@ -607,64 +607,29 @@ def delete_task(self, task_id: str) -> object:
             url=API_URL,
         )
 
-    def get_profiles(
-        self,
-        node_ids: List[str] = [],
-        model_ids: List[str] = [],
-        task_ids: List[str] = [],
-        return_all_tasks: bool = True,
-        return_all_models: bool = True,
-    ) -> object:
-        """
-        This method retrieves the profile of one or more machine learning nodes, models, or tasks from OpenSearch cluster (using ml commons api)
-
-        :param node_ids: A list of node ids to retrieve profiles for (default: [])
-        :type node_ids: List[str]
-        :param model_ids: A list of model ids to retrieve profiles for (default: [])
-        :type model_ids: List[str]
-        :param task_ids: A list of task ids to retrieve profiles for (default: [])
-        :type task_ids: List[str]
-        :param return_all_tasks: a flag to indicate whether all tasks associated with the profiles should be returned (default: True)
-        :type return_all_tasks: bool
-        :param return_all_models: a flag to indicate whether all models associated with the profiles should be returned (default: True)
-        :type return_all_models: bool
-        :return: returns a json object containing the profile information of the specified nodes, models, or tasks from the OpenSearch cluster
-        :rtype: object
-        """
-
-        if model_ids and len(model_ids) == 1:
-            API_URL = f"{ML_BASE_URI}/profile/models/{model_ids[0]}"
-            return self._client.transport.perform_request(
-                method="GET",
-                url=API_URL,
-            )
-
-        if task_ids and len(model_ids) == 1:
-            API_URL = f"{ML_BASE_URI}/profile/models/{model_ids[0]}"
-            return self._client.transport.perform_request(
-                method="GET",
-                url=API_URL,
-            )
-
-        API_URL = f"{ML_BASE_URI}/profile"
-
-        API_BODY = {
-            "return_all_tasks": return_all_tasks,
-            "return_all_models": return_all_models,
-        }
-
-        if len(node_ids) > 0:
-            API_BODY["node_ids"] = node_ids
-        if len(model_ids) > 0:
-            API_BODY["model_ids"] = model_ids
-        if len(task_ids) > 0:
-            API_BODY["task_ids"] = task_ids
-
-        try:
-            API_BODY = json.dumps(API_BODY)
-        except json.JSONDecodeError:
-            raise Exception("Invalid request body")
+    def get_profiles(self, model_id=None, tasks=None, request_body=None) -> object:
+        """
+        """
+        # if model id is given and tasks is none, then url = f"{ML_BASE_URI}/profile/models"
+        # if model id is None and tasks is given, then url = f"{ML_BASE_URI}/profile/tasks"
+        # if both model_id and tasks are given raise error
+        if model_id is None and tasks is None:
+            url = f"{ML_BASE_URI}/profile"
+        elif model_id is not None and tasks is None:
+            url = f"{ML_BASE_URI}/profile/models/{model_id}"
+        elif model_id is None and tasks is not None:
+            url = f"{ML_BASE_URI}/profile/tasks"
+        else:
+            raise ValueError("model_id and tasks cannot be given together")
 
+        return self._client.transport.perform_request(
+            method="POST",
+            url=url,
+            body=request_body
+        )
+        
+        
+        
         return self._client.transport.perform_request(
             method="GET",
             url=API_URL,