diff --git a/libs/langchain/langchain/chains/question_answering/refine_prompts.py b/libs/langchain/langchain/chains/question_answering/refine_prompts.py
index 87b4863d433..bec5fa4f573 100644
--- a/libs/langchain/langchain/chains/question_answering/refine_prompts.py
+++ b/libs/langchain/langchain/chains/question_answering/refine_prompts.py
@@ -11,7 +11,7 @@ from langchain.prompts.prompt import PromptTemplate
 DEFAULT_REFINE_PROMPT_TMPL = (
     "The original question is as follows: {question}\n"
     "We have provided an existing answer: {existing_answer}\n"
-    "We have the opportunity to refine the existing answer"
+    "We have the opportunity to refine the existing answer "
     "(only if needed) with some more context below.\n"
     "------------\n"
     "{context_str}\n"
@@ -20,12 +20,10 @@ DEFAULT_REFINE_PROMPT_TMPL = (
     "answer the question. "
     "If the context isn't useful, return the original answer."
 )
-DEFAULT_REFINE_PROMPT = PromptTemplate(
-    input_variables=["question", "existing_answer", "context_str"],
-    template=DEFAULT_REFINE_PROMPT_TMPL,
-)
+DEFAULT_REFINE_PROMPT = PromptTemplate.from_template(DEFAULT_REFINE_PROMPT_TMPL)
+
 refine_template = (
-    "We have the opportunity to refine the existing answer"
+    "We have the opportunity to refine the existing answer "
     "(only if needed) with some more context below.\n"
     "------------\n"
     "{context_str}\n"
@@ -34,12 +32,9 @@ refine_template = (
     "answer the question. "
     "If the context isn't useful, return the original answer."
 )
-messages = [
-    HumanMessagePromptTemplate.from_template("{question}"),
-    AIMessagePromptTemplate.from_template("{existing_answer}"),
-    HumanMessagePromptTemplate.from_template(refine_template),
-]
-CHAT_REFINE_PROMPT = ChatPromptTemplate.from_messages(messages)
+CHAT_REFINE_PROMPT = ChatPromptTemplate.from_messages(
+    [("human", "{question}"), ("ai", "{existing_answer}"), ("human", "refine_template")]
+)
 REFINE_PROMPT_SELECTOR = ConditionalPromptSelector(
     default_prompt=DEFAULT_REFINE_PROMPT,
     conditionals=[(is_chat_model, CHAT_REFINE_PROMPT)],
@@ -48,28 +43,25 @@ REFINE_PROMPT_SELECTOR = ConditionalPromptSelector(
 
 DEFAULT_TEXT_QA_PROMPT_TMPL = (
     "Context information is below. \n"
-    "---------------------\n"
-    "{context_str}"
-    "\n---------------------\n"
+    "------------\n"
+    "{context_str}\n"
+    "------------\n"
     "Given the context information and not prior knowledge, "
     "answer the question: {question}\n"
 )
-DEFAULT_TEXT_QA_PROMPT = PromptTemplate(
-    input_variables=["context_str", "question"], template=DEFAULT_TEXT_QA_PROMPT_TMPL
-)
+DEFAULT_TEXT_QA_PROMPT = PromptTemplate.from_template(DEFAULT_TEXT_QA_PROMPT_TMPL)
+
 chat_qa_prompt_template = (
-    "Context information is below. \n"
-    "---------------------\n"
-    "{context_str}"
-    "\n---------------------\n"
+    "Context information is below.\n"
+    "------------\n"
+    "{context_str}\n"
+    "------------\n"
     "Given the context information and not prior knowledge, "
     "answer any questions"
 )
-messages = [
-    SystemMessagePromptTemplate.from_template(chat_qa_prompt_template),
-    HumanMessagePromptTemplate.from_template("{question}"),
-]
-CHAT_QUESTION_PROMPT = ChatPromptTemplate.from_messages(messages)
+CHAT_QUESTION_PROMPT = ChatPromptTemplate.from_messages(
+    [("system", chat_qa_prompt_template), ("human", "{question}")]
+)
 QUESTION_PROMPT_SELECTOR = ConditionalPromptSelector(
     default_prompt=DEFAULT_TEXT_QA_PROMPT,
     conditionals=[(is_chat_model, CHAT_QUESTION_PROMPT)],
diff --git a/libs/langchain/langchain/chains/summarize/refine_prompts.py b/libs/langchain/langchain/chains/summarize/refine_prompts.py
index 5c67db48185..013d0919f24 100644
--- a/libs/langchain/langchain/chains/summarize/refine_prompts.py
+++ b/libs/langchain/langchain/chains/summarize/refine_prompts.py
@@ -1,21 +1,16 @@
-# flake8: noqa
 from langchain.prompts import PromptTemplate
 
-REFINE_PROMPT_TMPL = (
-    "Your job is to produce a final summary\n"
-    "We have provided an existing summary up to a certain point: {existing_answer}\n"
-    "We have the opportunity to refine the existing summary"
-    "(only if needed) with some more context below.\n"
-    "------------\n"
-    "{text}\n"
-    "------------\n"
-    "Given the new context, refine the original summary\n"
-    "If the context isn't useful, return the original summary."
-)
-REFINE_PROMPT = PromptTemplate(
-    input_variables=["existing_answer", "text"],
-    template=REFINE_PROMPT_TMPL,
-)
+REFINE_PROMPT_TMPL = """\
+Your job is to produce a final summary.
+We have provided an existing summary up to a certain point: {existing_answer}
+We have the opportunity to refine the existing summary (only if needed) with some more context below.
+------------
+{text}
+------------
+Given the new context, refine the original summary.
+If the context isn't useful, return the original summary.\
+"""  # noqa: E501
+REFINE_PROMPT = PromptTemplate.from_template(REFINE_PROMPT_TMPL)
 
 
 prompt_template = """Write a concise summary of the following:
@@ -25,4 +20,4 @@ prompt_template = """Write a concise summary of the following:
 
 
 CONCISE SUMMARY:"""
-PROMPT = PromptTemplate(template=prompt_template, input_variables=["text"])
+PROMPT = PromptTemplate.from_template(prompt_template)