I'm trying to make a RAG application using langchain and streamlit,I trying to manage the chathistory within this app,but I came across an unexpeted issue, I will explain : from langchain.schema.runnable import RunnableConfig from langchain.callbacks.tracers.run_collector import RunCollectorCallbackHandler def create_full_chain(retriever, groq_api_key=None, chat_memory=ChatMessageHistory()): model = get_model("Groq", groq_api_key=groq_api_key) # model = get_model() system_prompt = """my own promt. Context: {context} Question: """ prompt = ChatPromptTemplate.from_messages( [ ("system", system_prompt), ("human", "{question}"), ] ) rag_chain = make_rag_chain(model, retriever,rag_prompt=prompt) #add by youssef rag_prompt=prompt chain = create_memory_chain(model, rag_chain, chat_memory) return chain def ask_question(chain, query,config=None): response = chain.invoke( {"question": query}, config={"configurable": {"session_id": "foo"},}, config=config ) return response here's i create a runnableConfig : run_collector = RunCollectorCallbackHandler() runnable_config = RunnableConfig( callbacks=[run_collector], tags=["Streamlit Chat"], ) now when the user asque a question this methode execute: response = ask_question(chain, prompt,config=runnable_config) now my issue is, I have to pass to the invoke method two args with the same name which is config, because this one config={"configurable": {"session_id": "foo"},},is managed by the memory(chathistory (RunnableWithMessageHistory)) and and to be able to pass runnable_config i have to pass it like this config=runnable_config inside the invoke methode, Does anyone please have any idea how to resolve this issue please ? thnaks Continue reading...
