async def process(state: dict) -> dict:
    """
    This node retrieves files from a repository based on the provided URL and update scope.
    It uses an LLM to analyze and extract relevant workflow files from the repository.
    """
    from app.agent import llm
    from langchain_core.messages import SystemMessage, HumanMessage

    try:
        repository_url = state.get("repository_url", "")
        update_scope = state.get("update_scope", "")

        if not repository_url or not update_scope:
            raise ValueError("Both 'repository_url' and 'update_scope' must be provided.")

        messages = [
            SystemMessage(content="You are an assistant that retrieves workflow files from a repository."),
            HumanMessage(content=f"Repository URL: {repository_url}\nUpdate Scope: {update_scope}")
        ]

        response = await llm.ainvoke(messages)
        workflow_files = response.content.splitlines()  # Assuming the LLM returns file names as newline-separated strings.

        return {"workflow_files": workflow_files, "phase": "complete"}
    except Exception as exc:
        return {"error": str(exc), "phase": "failed"}