refactor: Update app.py and libs/llm.py to improve model selection and configuration

app.py

@@ -4,6 +4,7 @@ from kiwipiepy import Kiwi
 from typing import List, Tuple, Generator, Union
 
 from langchain_core.output_parsers import StrOutputParser
+from langchain_core.messages import HumanMessage, AIMessage
 from langchain_core.runnables import RunnablePassthrough, RunnableLambda
 from langchain_community.document_transformers import LongContextReorder
 
@@ -36,8 +37,14 @@ AVAILABLE_MODELS = {
 
 
 def create_rag_chain(chat_history: List[Tuple[str, str]], model: str):
+    print(chat_history)
+    langchain_messages = []
+    for human, ai in chat_history:
+        langchain_messages.append(HumanMessage(content=human))
+        langchain_messages.append(AIMessage(content=ai))
+        
     llm = get_llm(streaming=STREAMING).with_config(configurable={"llm": model})
-    prompt = get_prompt(chat_history)
+    prompt = get_prompt().partial(history=langchain_messages)
 
     return (
         {

libs/prompt.py

@@ -21,11 +21,11 @@ PROMPT_TEMPLATE = """당신은 판사이자 20년 차 법률 전문가입니다.
 """
 
 
-def get_prompt(chat_history):
+def get_prompt():
     return ChatPromptTemplate.from_messages(
         [
             ("system", PROMPT_TEMPLATE),
             MessagesPlaceholder(variable_name="history"),
             ("human", "{question}"),
         ]
-    ).partial(history=chat_history)
+    )