docstr: Complete the current thought, optionally assigning it a new label.
  Add it to our _completed_thoughts list.
docstr_tok: ["Complete","the","current","thought",",","optionally","assigning","it","a","new","label",".","Add","it","to","our","_completed_thoughts","list","."]
code: def _complete_current_thought(
      self, final_label: Optional[str] = None
  ) -> None:
      """Complete the current thought, optionally assigning it a new label.
      Add it to our _completed_thoughts list.
      """
      thought = self._require_current_thought()
      thought.complete(final_label)
      self._completed_thoughts.append(thought)
      self._current_thought = None
  
imports: from __future__ import annotations
  import time
  from enum import Enum
  from typing import TYPE_CHECKING, Any, Dict, List, NamedTuple, Optional
  from langchain.callbacks.base import BaseCallbackHandler
  from langchain.schema import AgentAction, AgentFinish, LLMResult
  from streamlit.runtime.metrics_util import gather_metrics
label_desc: Use image node_id 4 for calling the StreamlitCallbackHandler obj's underlying member method code with example usage: obj._complete_current_thought(final_label) without return types