class_docstr: Langchain LLM wrapper for a local LLM
code: def _llm_type(self) -> str:
      return "custom"
  
imports: from typing import Any, List, Mapping, Optional
  import torch
  from colossalqa.local.utils import get_response, post_http_request
  from colossalqa.mylogging import get_logger
  from langchain.callbacks.manager import CallbackManagerForLLMRun
  from langchain.llms.base import LLM
  from transformers import AutoModelForCausalLM, AutoTokenizer
label_desc: Use image node_id 1 for calling the VllmLLM obj's underlying member method code with example usage: obj._llm_type() and returns: str