code: def __call__(
      self,
      *,
      llama: llama.Llama,
      messages: List[llama_types.ChatCompletionRequestMessage],
      functions: Optional[
          List[llama_types.ChatCompletionFunction]
      ] = None,
      function_call: Optional[
          llama_types.ChatCompletionRequestFunctionCall
      ] = None,
      tools: Optional[List[llama_types.ChatCompletionTool]] = None,
      tool_choice: Optional[
          llama_types.ChatCompletionToolChoiceOption
      ] = None,
      temperature: float = 0.2,
      top_p: float = 0.95,
      top_k: int = 40,
      min_p: float = 0.05,
      typical_p: float = 1.0,
      stream: bool = False,
      stop: Optional[Union[str, List[str]]] = [],
      seed: Optional[int] = None,
      response_format: Optional[
          llama_types.ChatCompletionRequestResponseFormat
      ] = None,
      max_tokens: Optional[int] = None,
      presence_penalty: float = 0.0,
      frequency_penalty: float = 0.0,
      repeat_penalty: float = 1.1,
      tfs_z: float = 1.0,
      mirostat_mode: int = 0,
      mirostat_tau: float = 5.0,
      mirostat_eta: float = 0.1,
      model: Optional[str] = None,
      logits_processor: Optional[llama.LogitsProcessorList] = None,
      grammar: Optional[llama.LlamaGrammar] = None,
      logit_bias: Optional[Dict[str, float]] = None,
      **kwargs,  # type: ignore
  ) -> Union[
      llama_types.CreateChatCompletionResponse,
      Iterator[llama_types.CreateChatCompletionStreamResponse],
  ]:
      ...
  
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 1 for calling the LlamaChatCompletionHandler obj's underlying member method code with example usage: obj.__call__() without return types