How to pass runnable_config into Langchain invoke while implementing feedback system using streamlit

Using Streamlit
1

Hi,
I’m trying to put a feedback system into My RAG Application using streamlit, and I got unexpected error when I pass runnable_config into the invoke method : I will share with you the code first then the error :

import os
import streamlit as st
from langchain.callbacks.tracers.langchain import wait_for_all_tracers
from langchain.callbacks.tracers.run_collector import RunCollectorCallbackHandler
from langchain.memory import ConversationBufferMemory, StreamlitChatMessageHistory
from langchain.schema.runnable import RunnableConfig
from langsmith import Client
from streamlit_feedback import streamlit_feedback
# Set LangSmith environment variables
os.environ["LANGCHAIN_PROJECT"] = "my prject"
os.environ["LANGCHAIN_TRACING_V2"] = "true"
os.environ["LANGCHAIN_ENDPOINT"] = "https://api.smith.langchain.com"
langchain_endpoint = "https://api.smith.langchain.com"


if "last_run" not in st.session_state:
    st.session_state["last_run"] = "some_initial_value"

def ask_question(chain, query,runnable):
   response = chain.invoke(
      {"question": query},
      config={"configurable": {"session_id": "aqw123","runnable": 
      runnable}}
   )
   return response

def get_chain(groq_api_key=None, huggingfacehub_api_token=None):
    ensemble_retriever = get_retriever(groq_api_key=groq_api_key)
    chain = create_full_chain(ensemble_retriever,
                              groq_api_key=groq_api_key,
                              chat_memory=StreamlitChatMessageHistory(key="langchain"))

def run():
        if "trace_link" not in st.session_state:
            st.session_state.trace_link = None
        if "run_id" not in st.session_state:
           st.session_state.run_id = None
       #Tracer
        run_collector = RunCollectorCallbackHandler()
        runnable_config = RunnableConfig(
            callbacks=[run_collector],
            tags=["Streamlit Chat"],
        )
        if st.session_state.trace_link:
            st.sidebar.markdown(
                f'<a href="{st.session_state.trace_link}" target="_blank"><button>Latest 
              Trace: 🛠️</button></a>',
                unsafe_allow_html=True,
            )
        has_chat_messages = len(st.session_state.get("langchain", [])) > 0
        # Only show the feedback toggle if there are chat messages
        if has_chat_messages:
            feedback_option = (
                "faces" if st.toggle(label="`Thumbs` ⇄ `Faces`", value=False) else "thumbs"
            )
        else:
            pass
    show_ui(chain, "what do you want to know ?",langchain_api_key=langchain_api_key,run_collector=run_collector,runnable_config=runnable_config)

and finnaly the show_ui method :

def show_ui(qa, prompt_to_user="How may I help you?",langchain_api_key=None,run_collector=None,runnable_config=None):
    client = Client(api_url=langchain_endpoint, api_key=langchain_api_key)
   

    # Generate a new response if last message is not from assistant
    if st.session_state.messages[-1]["role"] != "assistant":
        with st.chat_message("assistant"):
            with st.spinner("réfléchir..."):
                response = ask_question(qa, prompt,runnable_config)
                if st.session_state["agree"] == True:
                 removed_tag = removeThinkTags(response.content)
                else:
                 removed_tag = response.content
                # print(response.content)
                st.markdown(removed_tag)
                 # The run collector will store all the runs in order. We'll just take the root and then
                # reset the list for next interaction.
                st.write(runnable_config,run_collector)
                run = run_collector.traced_runs[0]
                run_collector.traced_runs = []
                st.session_state.run_id = run.id
                wait_for_all_tracers()
                # Requires langsmith >= 0.0.19
                url = client.share_run(run.id)
                # Or if you just want to use this internally
                # without sharing
                # url = client.read_run(run.id).url
                st.session_state.trace_link = url
        message = {"role": "assistant", "content": removed_tag}
        st.session_state.messages.append(message)

and the error is :

IndexError: list index out of range at this line run = run_collector.traced_runs[0] is the way I pass runnable_config inside ask_question method is correct please ?