diff --git a/pandasai/pipelines/smart_datalake_chat/code_execution.py b/pandasai/pipelines/smart_datalake_chat/code_execution.py
index ba33a6fd2..08e60699a 100644
--- a/pandasai/pipelines/smart_datalake_chat/code_execution.py
+++ b/pandasai/pipelines/smart_datalake_chat/code_execution.py
@@ -42,9 +42,11 @@ def execute(self, input: Any, **kwargs) -> Any:
                     pipeline_context.get_intermediate_value("last_prompt_id"),
                     pipeline_context.get_intermediate_value("skills"),
                 )
-                result = pipeline_context.get_intermediate_value(
-                    "code_manager"
-                ).execute_code(
+
+                result = pipeline_context.query_exec_tracker.execute_func(
+                    pipeline_context.get_intermediate_value(
+                        "code_manager"
+                    ).execute_code,
                     code=code_to_run,
                     context=code_context,
                 )
diff --git a/pandasai/smart_datalake/__init__.py b/pandasai/smart_datalake/__init__.py
index 85c0dd376..b4c8a7432 100644
--- a/pandasai/smart_datalake/__init__.py
+++ b/pandasai/smart_datalake/__init__.py
@@ -347,6 +347,9 @@ def chat(self, query: str, output_type: Optional[str] = None):
 
         self.update_intermediate_value_post_pipeline_execution(pipeline_context)
 
+        # publish query tracker
+        self._query_exec_tracker.publish()
+
         return result
 
     def _validate_output(self, result: dict, output_type: Optional[str] = None):
diff --git a/tests/pipelines/smart_datalake/test_code_execution.py b/tests/pipelines/smart_datalake/test_code_execution.py
index 36227e230..51a6296b2 100644
--- a/tests/pipelines/smart_datalake/test_code_execution.py
+++ b/tests/pipelines/smart_datalake/test_code_execution.py
@@ -100,6 +100,8 @@ def mock_intermediate_values(key: str):
                 return mock_code_manager
 
         context.get_intermediate_value = Mock(side_effect=mock_intermediate_values)
+        context._query_exec_tracker = Mock()
+        context.query_exec_tracker.execute_func = Mock(return_value="Mocked Result")
 
         result = code_execution.execute(
             input="Test Code", context=context, logger=logger
@@ -157,17 +159,24 @@ def mock_execute_code(*args, **kwargs):
                 raise Exception("Unit test exception")
             return "Mocked Result after retry"
 
+        # Conditional return of execute_func method based arguments it is called with
+        def mock_execute_func(*args, **kwargs):
+            if isinstance(args[0], Mock) and args[0].name == "execute_code":
+                return mock_execute_code(*args, **kwargs)
+            else:
+                return [
+                    "Interuppted Code",
+                    "Exception Testing",
+                    "Successful after Retry",
+                ]
+
         mock_code_manager = Mock()
-        mock_code_manager.execute_code = Mock(side_effect=mock_execute_code)
+        mock_code_manager.execute_code = Mock()
+        mock_code_manager.execute_code.name = "execute_code"
 
         context._query_exec_tracker = Mock()
-        context.query_exec_tracker.execute_func = Mock(
-            return_value=[
-                "Interuppted Code",
-                "Exception Testing",
-                "Successful after Retry",
-            ]
-        )
+
+        context.query_exec_tracker.execute_func = Mock(side_effect=mock_execute_func)
 
         def mock_intermediate_values(key: str):
             if key == "last_prompt_id":
diff --git a/tests/test_smartdatalake.py b/tests/test_smartdatalake.py
index c784167de..48ed862c8 100644
--- a/tests/test_smartdatalake.py
+++ b/tests/test_smartdatalake.py
@@ -149,6 +149,25 @@ def test_last_result_is_saved(self, _mocked_method, smart_datalake: SmartDatalak
             "value": "There are 10 countries in the dataframe.",
         }
 
+    @patch.object(
+        CodeManager,
+        "execute_code",
+        return_value={
+            "type": "string",
+            "value": "There are 10 countries in the dataframe.",
+        },
+    )
+    @patch("pandasai.helpers.query_exec_tracker.QueryExecTracker.publish")
+    def test_query_tracker_publish_called_in_chat_method(
+        self, mock_query_tracker_publish, _mocked_method, smart_datalake: SmartDatalake
+    ):
+        assert smart_datalake.last_result is None
+
+        _mocked_method.__name__ = "execute_code"
+
+        smart_datalake.chat("How many countries are in the dataframe?")
+        mock_query_tracker_publish.assert_called()
+
     def test_retry_on_error_with_single_df(
         self, smart_datalake: SmartDatalake, smart_dataframe: SmartDataframe
     ):