diff --git a/libs/langchain/langchain/chains/openai_functions/qa_with_structure.py b/libs/langchain/langchain/chains/openai_functions/qa_with_structure.py
index dff17030a..770b3e9d7 100644
--- a/libs/langchain/langchain/chains/openai_functions/qa_with_structure.py
+++ b/libs/langchain/langchain/chains/openai_functions/qa_with_structure.py
@@ -28,6 +28,7 @@ def create_qa_with_structure_chain(
     schema: Union[dict, Type[BaseModel]],
     output_parser: str = "base",
     prompt: Optional[Union[PromptTemplate, ChatPromptTemplate]] = None,
+    verbose: bool = False,
 ) -> LLMChain:
     """Create a question answering chain that returns an answer with sources
      based on schema.
@@ -87,18 +88,24 @@ def create_qa_with_structure_chain(
         prompt=prompt,
         llm_kwargs=llm_kwargs,
         output_parser=_output_parser,
+        verbose=verbose,
     )
     return chain
 
 
-def create_qa_with_sources_chain(llm: BaseLanguageModel, **kwargs: Any) -> LLMChain:
+def create_qa_with_sources_chain(
+    llm: BaseLanguageModel, verbose: bool = False, **kwargs: Any
+) -> LLMChain:
     """Create a question answering chain that returns an answer with sources.
 
     Args:
         llm: Language model to use for the chain.
+        verbose: Whether to print the details of the chain
         **kwargs: Keyword arguments to pass to `create_qa_with_structure_chain`.
 
     Returns:
         Chain (LLMChain) that can be used to answer questions with citations.
     """
-    return create_qa_with_structure_chain(llm, AnswerWithSources, **kwargs)
+    return create_qa_with_structure_chain(
+        llm, AnswerWithSources, verbose=verbose, **kwargs
+    )