how to pass RunnableConfig as arg when call langchain invoke method

[estem]

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Example Code

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)

Description

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

System Info

chroma-hnswlib==0.7.3
chromadb==0.3.29
huggingface-hub==0.21.3
langchain==0.1.9
langchain-community==0.0.24
langchain-core==0.1.35
langchain-openai==0.0.8
langchain-text-splitters==0.0.1
langchainhub==0.1.14
langdetect==1.0.9
langsmith==0.1.26
numpy==1.26.4
openai==1.13.3
opencv-python==4.9.0.80
pandas==2.2.1
pdf2image==1.17.0
pdfminer.six==20221105
pdfplumber==0.10.4
pikepdf==8.13.0
pillow==10.3.0
pillow_heif==0.15.0
pyarrow==15.0.0
pydantic==1.10.14
pypdf==4.0.2
pypdf2==3.0.1
pypdfium2==4.27.0
pytesseract==0.3.10
python-dotenv
PyYAML
rank-bm25
regex
requests
rich
safetensors==0.4.2
scikit-learn==1.4.1.post1
scipy==1.12.0
sentence-transformers==2.4.0
SQLAlchemy==2.0.27
streamlit
sympy==1.12
tiktoken==0.5.2
tokenizers==0.15.2
toml
torch==2.2.1
torchvision==0.17.1
tqdm
transformers==4.38.2
unstructured==0.12.4
unstructured-client==0.18.0
unstructured-inference==0.7.23
unstructured.pytesseract==0.3.12
watchdog
watchfiles
wikipedia
langchain_groq
streamlit-feedback
LangSmith