code: def _get_available_args(
      node: SchemaNode,
      create_fn_params: Dict[Text, ParameterInfo],
      run_fn_params: Dict[Text, ParameterInfo],
  ) -> Tuple[Dict[Text, ParameterInfo], bool]:
      has_kwargs = any(
          param.is_variable_length_keyword_arg
          for param in run_fn_params.values()
      )
      available_args = run_fn_params.copy()
      if node.eager is False:
          has_kwargs = has_kwargs or any(
              param.is_variable_length_keyword_arg
              for param in create_fn_params.values()
          )
          available_args.update(create_fn_params)
      return available_args, has_kwargs
  
imports: import inspect
  import logging
  import typing
  from typing import Optional, Callable, Text, Tuple, Dict, Type, Any, Set, Union, TypeVar, List
  import dataclasses
  from rasa.core.policies.policy import PolicyPrediction
  from rasa.engine.training.fingerprinting import Fingerprintable
  import rasa.utils.common
  import typing_utils
  from rasa.engine.exceptions import GraphSchemaValidationException
  from rasa.engine.graph import GraphSchema, GraphComponent, SchemaNode, ExecutionContext, GraphModelConfiguration
  from rasa.engine.constants import RESERVED_PLACEHOLDERS
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.shared.constants import DOCS_URL_GRAPH_COMPONENTS
  from rasa.shared.exceptions import RasaException
  from rasa.shared.nlu.training_data.message import Message
label_desc: Use image node_id 20 for calling a global function with example usage: _get_available_args(node, create_fn_params, run_fn_params) and returns: available_args,  has_kwargs