def run(self, query, plan):
        """
        Run hub operator to route user queries.

        Args:
            query (str): The user query.
            plan (dict): The plan generated to address the query by the hub planner.

        Returns:
            str: The result of processing the query.

        """
        self.query = query

        # Filter the plan
        self.filter_plan(plan)
        num_step_list = len(self.plan)

        # No app is needed to address the user query
        if num_step_list == 0:
            if self.vanilla_spoke is None:
                self.vanilla_spoke = VanillaSpoke()
            results = self.vanilla_spoke.chat(query)

        # Apps are executed in cascaded manner
        elif num_step_list == 1:
            startup_app = self.plan[0][0]["name"]
            results = self.run_initial_spoke(query, startup_app)

        # Apps can be executed in concurrent manner, use a dedicated spoke for routing the query
        else:
            startup_app = ""
            results = self.run_initial_spoke(query, startup_app)

        return results

        Run hub operator to route user queries.

        Args:
            query (str): The user query.
            plan (dict): The plan generated to address the query by the hub planner.

        Returns:
            str: The result of processing the query.

        
llama-index-packs/llama-index-packs-secgpt/llama_index/packs/secgpt/hub_operator.py