code: def format_redpajama_incite(
      messages: List[llama_types.ChatCompletionRequestMessage],
      **kwargs: Any,
  ) -> ChatFormatterResponse:
      _system_message = _get_system_message(messages)
      _roles = dict(user="<human>", assistant="<bot>")
      _sep = "\n"
      _stop = "<human>"
      system_message = _system_message
      _messages = _map_roles(messages, _roles)
      _messages.append((_roles["assistant"], None))
      _prompt = _format_add_colon_single(
          system_message, _messages, _sep
      )
      return ChatFormatterResponse(prompt=_prompt, stop=_stop)
  
imports: from __future__ import annotations
  import os
  import json
  import ctypes
  import dataclasses
  from typing import Any, Dict, Iterator, List, Optional, Tuple, Union, Protocol
  import llama_cpp.llama
  import llama_cpp.llama_types
  import llama_cpp.llama_grammar
  from ._utils import suppress_stdout_stderr
label_desc: Use image node_id 26 for calling a global function with example usage: format_redpajama_incite(messages) and returns: ChatFormatterResponse