How to configure dynamically on platform if now that config_schema is gone in LangChain?

https://www.youtube.com/watch?v=fMsQX6pwXkE so in that video it is provided to use config_schema but in langchain v1 there is not such parametere anymore so i tried to passsing to context_schema it worked but as i understand context_schema is not used for that please provide information on how to do that on new version

example code :
async def make_supervisor_agent(config: RunnableConfig):
    configurable = config.get("configurable", {})
    llm = configurable.get("model", "openai/gpt-4.1")
    prompt = configurable.get(
        "system_prompt", "You are a helpful assistant")

    graph = create_agent(
        model=load_chat_model(llm),
        tools=[research_stock, execute_order],
        system_prompt=prompt,
        context_schema=Configuration,
        state_schema=SupervisorState,
        name="Supervisor Agent",
    )

    return graph