diff --git a/packages/openassistants/openassistants/contrib/duckdb_query.py b/packages/openassistants/openassistants/contrib/duckdb_query.py
index a3c4b68..d2d04c5 100644
--- a/packages/openassistants/openassistants/contrib/duckdb_query.py
+++ b/packages/openassistants/openassistants/contrib/duckdb_query.py
@@ -2,28 +2,27 @@
 from typing import List, Literal
 
 import pandas as pd
-from openassistants.contrib.sqlalchemy_query import QueryFunction
+from openassistants.contrib.sqlalchemy_query import SQLAlchemyFunction
 from openassistants.functions.base import FunctionExecutionDependency
-from sqlalchemy import Engine, create_engine
+from sqlalchemy import create_engine
 
 
-class DuckDBQueryFunction(QueryFunction):
+class DuckDBQueryFunction(SQLAlchemyFunction):
     type: Literal["DuckDBQueryFunction"] = "DuckDBQueryFunction"  # type: ignore
     dataset: str
 
-    def __init__(self, *args, **kwargs):
-        super().__init__(*args, **kwargs)
-        self._engine = create_engine("duckdb:///:memory:")
+    def __init__(self, **kwargs):
+        super().__init__(engine=create_engine("duckdb:///:memory:"), **kwargs)
 
     async def _execute_sqls(
-        self, engine: Engine, deps: FunctionExecutionDependency
+        self, deps: FunctionExecutionDependency
     ) -> List[pd.DataFrame]:
         # Set workdir to the dataset path
         # Capture the current working directory
         cwd = os.getcwd()
         try:
             os.chdir(self.dataset)
-            res = await super()._execute_sqls(engine, deps)
+            res = await super()._execute_sqls(deps)
         finally:
             # Restore the working directory even if an error occurs
             os.chdir(cwd)
diff --git a/packages/openassistants/openassistants/contrib/sqlalchemy_query.py b/packages/openassistants/openassistants/contrib/sqlalchemy_query.py
index d5d11fb..7411ffb 100644
--- a/packages/openassistants/openassistants/contrib/sqlalchemy_query.py
+++ b/packages/openassistants/openassistants/contrib/sqlalchemy_query.py
@@ -1,3 +1,4 @@
+import abc
 import asyncio
 from typing import Annotated, Any, List, Literal, Sequence
 
@@ -67,24 +68,18 @@ def _opas_to_summarization_lc(
     return lc_messages
 
 
-class QueryFunction(BaseFunction):
+class QueryFunction(BaseFunction, abc.ABC):
     type: Literal["QueryFunction"] = "QueryFunction"
     sqls: List[str]
     visualizations: List[str]
     summarization: str
     suggested_follow_ups: Annotated[List[SuggestedPrompt], Field(default_factory=list)]
-    _engine: Engine = PrivateAttr()
 
+    @abc.abstractmethod
     async def _execute_sqls(
-        self, engine: Engine, deps: FunctionExecutionDependency
+        self, deps: FunctionExecutionDependency
     ) -> List[pd.DataFrame]:
-        res: List[pd.DataFrame] = await asyncio.gather(  # type: ignore
-            *[
-                run_in_threadpool(run_sql, engine, sql, deps.arguments)
-                for sql in self.sqls
-            ]
-        )
-        return res
+        pass
 
     async def _execute_visualizations(
         self, dfs: List[pd.DataFrame], deps: FunctionExecutionDependency
@@ -93,7 +88,7 @@ async def _execute_visualizations(
             *[execute_visualization(viz, dfs) for viz in self.visualizations]
         )
 
-    async def execute_summarization(
+    async def _execute_summarization(
         self, dfs: List[pd.DataFrame], deps: FunctionExecutionDependency
     ) -> AsyncStreamVersion[str]:
         chat_continued = [
@@ -159,7 +154,7 @@ async def execute(
 
         results: List[FunctionOutput] = []
 
-        dataframes = await self._execute_sqls(self._engine, deps)
+        dataframes = await self._execute_sqls(deps)
         results.extend(
             [
                 DataFrameOutput(dataframe=SerializedDataFrame.from_pd(df))
@@ -180,7 +175,7 @@ async def execute(
         # Add summarization
         summarization_text = ""
 
-        async for summarization_text in self.execute_summarization(dataframes, deps):
+        async for summarization_text in self._execute_summarization(dataframes, deps):
             yield results + [TextOutput(text=summarization_text)]
 
         results.extend([TextOutput(text=summarization_text)])
@@ -205,3 +200,22 @@ async def execute(
         )
 
         yield results
+
+
+class SQLAlchemyFunction(QueryFunction, abc.ABC):
+    _engine: Engine = PrivateAttr()
+
+    def __init__(self, engine: Engine, **kwargs):
+        super().__init__(**kwargs)
+        self._engine = engine
+
+    async def _execute_sqls(
+        self, deps: FunctionExecutionDependency
+    ) -> List[pd.DataFrame]:
+        res: List[pd.DataFrame] = await asyncio.gather(  # type: ignore
+            *[
+                run_in_threadpool(run_sql, self._engine, sql, deps.arguments)
+                for sql in self.sqls
+            ]
+        )
+        return res