code: def __init__(self, opt, shared=None):
      opt_cp = copy.deepcopy(opt)
      self.subagents_to_rerank = opt["subagents_to_rerank"].split(",")
      director_seeker_args = [
          "skip_director_reranking_for_all_generations"
      ]
      for prefix in ["krm", "drm", "sqm", "sdm"]:
          # ADD Default
          opt_cp[
              prefix + "_model"
          ] = "projects.fits.agents.director_seeker:DirectorComboFidSearchQueryAgent"
          opt_cp["override"][prefix + "_model"] = opt_cp[
              prefix + "_model"
          ]
  
          for opt_key in director_seeker_args:
              # add it to override so that the subagent acknowledges it (by defaults it loads from opt.file and from cmdline)
              subagent_opt_key = prefix + "_" + opt_key
              if subagent_opt_key not in opt_cp["override"]:
                  opt_cp["override"][
                      subagent_opt_key
                  ] = self._get_opt_value(opt_cp, opt_key, prefix)
  
          subagent_opt_key = (
              prefix + "_skip_director_reranking_for_all_generations"
          )
          if prefix in self.subagents_to_rerank:
              opt_cp["override"][subagent_opt_key] = False
  
      # set infer_mixing_weights/infer_gamma for all subagents not just drm. Actually setting --drm-infer-mixing-weights through cmd line WONT work as the model is simply shared across all subagents
      for opt_key in ["infer_mixing_weights", "infer_gamma"]:
          for subagent in self.subagents_to_rerank:
              subagent_opt_key = subagent + "_" + opt_key
              if subagent_opt_key in opt_cp["override"]:
                  opt_cp["override"]["krm_" + opt_key] = opt_cp[
                      "override"
                  ][subagent_opt_key]
                  logging.warn(
                      f"All {self.subagents_to_rerank} share the same infer reranking args {opt_key}"
                  )
  
      return super().__init__(opt_cp, shared)
  
imports: import torch
  import torch.nn.functional
  import copy
  from typing import Optional, List, Tuple, Any, Dict, Union
  from parlai.core.opt import Opt
  from parlai.core.params import ParlaiParser
  from parlai.core.torch_agent import Batch
  from parlai.core.message import Message
  from parlai.agents.rag.retrievers import Document
  from parlai.agents.fid.fid import SearchQueryFiDAgent, WizIntGoldDocRetrieverFiDAgent
  import parlai.utils.logging
  from projects.seeker.agents.seeker_modules import ComboFidModel
  from projects.seeker.agents.seeker import ComboFidAgent, SeekerAgent
  from projects.fits.agents.director_bb2 import DirectorFidAgent, DirectorFidModelMixin
label_desc: Use image node_id 5 to create a new DirectorSeekerAgent object from inherited base classes: SeekerAgent with example: obj = DirectorSeekerAgent(opt, shared)