class_docstr: Custom Handler for integrating vLLM
class_docstr_tok: ["Custom","Handler","for","integrating","vLLM"]
code: def __init__(self):
      super().__init__()
      self.max_new_tokens = None
      self.tokenizer = None
      self.initialized = False
  
file_path: serve/examples/large_models/vllm/mistral/custom_handler.py
imports: import logging
  import torch
  import vllm
  from vllm import LLM, SamplingParams
  from ts.context import Context
  from ts.torch_handler.base_handler import BaseHandler
label_desc: Use image node_id 1 to create a new CustomHandler object from inherited base classes: BaseHandler with example: obj = CustomHandler()