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.
      finished: Whether the whole request is finished.
code: def __init__(
      self,
      request_id: str,
      prompt: str,
      prompt_token_ids: List[int],
      outputs: List[CompletionOutput],
      finished: bool,
  ) -> None:
      self.request_id = request_id
      self.prompt = prompt
      self.prompt_token_ids = prompt_token_ids
      self.outputs = outputs
      self.finished = finished
  
file_path: BigDL/python/llm/src/bigdl/llm/vllm/outputs.py
imports: from typing import Dict, List, Optional
  from bigdl.llm.vllm.sequence import SequenceGroup, SequenceStatus
label_desc: Use image node_id 1 to create a new RequestOutput object  with example: obj = RequestOutput(request_id, prompt, prompt_token_ids, outputs, finished)