code: def check_llm_exactly_one_input_text_feature(
      config: "ModelConfig",
  ):  # noqa: F821
      if config.model_type != MODEL_LLM:
          return
  
      if (
          len(config.input_features) == 1
          and config.input_features[0].type == TEXT
      ):
          return
      else:
          raise ConfigValidationError(
              "LLM requires exactly one text input feature."
          )
  
imports: from abc import ABC, abstractmethod
  from re import findall
  from typing import Callable, TYPE_CHECKING
  from transformers import AutoConfig
  from ludwig.api_annotations import DeveloperAPI
  from ludwig.constants import AUDIO, BINARY, CATEGORY, IMAGE, IN_MEMORY, MIN_QUANTIZATION_BITS_FOR_MERGE_AND_UNLOAD, MODEL_ECD, MODEL_GBM, MODEL_LLM, NUMBER, SEQUENCE, SET, TEXT, TIMESERIES, VECTOR
  from ludwig.error import ConfigValidationError
  from ludwig.utils.metric_utils import get_feature_to_metric_names_map_from_feature_collection
  from ludwig.utils.misc_utils import merge_dict
label_desc: Use image node_id 24 for calling a global function with example usage: check_llm_exactly_one_input_text_feature(config) without return types