code: def to_dict(self):
      return {
          "modules": {
              module_id: module_spec.to_dict()
              for module_id, module_spec in self.modules.items()
          }
      }
  
imports: from dataclasses import dataclass, field
  import pathlib
  import pprint
  from typing import Any, Callable, Dict, KeysView, List, Mapping, Optional, Set, Type, Union
  from ray.util.annotations import PublicAPI
  from ray.rllib.utils.annotations import override, ExperimentalAPI
  from ray.rllib.utils.nested_dict import NestedDict
  from ray.rllib.core.models.specs.typing import SpecType
  from ray.rllib.policy.sample_batch import MultiAgentBatch
  from ray.rllib.core.rl_module.rl_module import RLModule, RLMODULE_METADATA_FILE_NAME, RLMODULE_STATE_DIR_NAME, SingleAgentRLModuleSpec
  from ray.rllib.utils.annotations import OverrideToImplementCustomLogic
  from ray.rllib.utils.policy import validate_policy_id
  from ray.rllib.utils.serialization import serialize_type, deserialize_type
  from ray.rllib.utils.typing import T
label_desc: Use image node_id 1 for calling the MultiAgentRLModuleConfig obj's underlying member method code with example usage: obj.to_dict() and returns: dict