def __init__(
        self,
        tools: Sequence[BaseTool],
        collab_functions: Sequence[str],
        llm: LLM = None,
        memory: ChatMemoryBuffer = None,
        verbose: bool = True,
    ) -> None:
        """
        Initialize the Spoke class with tools, collaborative functions, LLM, and memory.

        Args:
            tools (Sequence[BaseTool]): A sequence of tools (apps) available to the spoke. Typically, just one app.
            collab_functions (Sequence[str]): A sequence of collaborative functions.
            llm (LLM, optional): A large language model for the spoke. Defaults to None.
            memory (ChatMemoryBuffer, optional): The chat memory buffer. Defaults to None.
            verbose (bool, optional): Whether to enable verbose mode. Defaults to True.

        """
        self.tools = tools
        if self.tools:
            self.tool_name = tools[0].metadata.name
        else:
            self.tool_name = ""

        self.collab_functions = collab_functions
        self.llm = llm or Settings.llm
        self.memory = memory or ChatMemoryBuffer.from_defaults(
            chat_history=[], llm=self.llm
        )

        # Set up spoke operator
        self.spoke_operator = SpokeOperator(self.collab_functions)

        # Create a placeholder for each collabortive functionality
        func_placeholders = create_function_placeholder(self.collab_functions)

        # Set the tool and collabortive functionality list
        tool_functionality_list = (
            self.tools + func_placeholders + [create_message_spoke_tool()]
        )

        # Set up the spoke output parser
        self.spoke_output_parser = SpokeOutputParser(
            functionality_list=self.collab_functions, spoke_operator=self.spoke_operator
        )
        # Set up the spoke agent
        self.spoke_agent = ReActAgent.from_tools(
            tools=tool_functionality_list,
            llm=self.llm,
            memory=self.memory,
            output_parser=self.spoke_output_parser,
            verbose=verbose,
        )

        Initialize the Spoke class with tools, collaborative functions, LLM, and memory.

        Args:
            tools (Sequence[BaseTool]): A sequence of tools (apps) available to the spoke. Typically, just one app.
            collab_functions (Sequence[str]): A sequence of collaborative functions.
            llm (LLM, optional): A large language model for the spoke. Defaults to None.
            memory (ChatMemoryBuffer, optional): The chat memory buffer. Defaults to None.
            verbose (bool, optional): Whether to enable verbose mode. Defaults to True.

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