class_docstr: The output data of a request to the LLM.
  
  Args:
      request_id: The unique ID of the request.
      prompt: The prompt string of the request.
      prompt_token_ids: The token IDs of the prompt.
      outputs: The output sequences of the request.
class_docstr_tok: ["The","output","data","of","a","request","to","the","LLM",".","Args",":","request_id",":","The","unique","ID","of","the","request",".","prompt",":","The","prompt","string","of","the","request",".","prompt_token_ids",":","The","token","IDs","of","the","prompt",".","outputs",":","The","output","sequences","of","the","request","."]
code: def __repr__(self) -> str:
      return (
          f"RequestOutput(request_id={self.request_id}, "
          f"prompt={self.prompt!r}, "
          f"prompt_token_ids={self.prompt_token_ids}, "
          f"outputs={self.outputs}, "
      )
  
imports: from typing import Dict, List, Tuple
  from .sampling_params import SamplingParams
label_desc: Use image node_id 2 for calling the RequestOutput obj's underlying member method code with example usage: obj.__repr__() and returns: str, self, str, self, str, self, str, self, str