class_docstr: Automatically count tokens based on the organization.
code: def __init__(self):
      self._token_cost_estimators: Dict[str, TokenCostEstimator] = {}
  
file_path: H2O/h2o_hf/helm/src/helm/benchmark/metrics/tokens/auto_token_cost_estimator.py
imports: from typing import Dict
  from helm.benchmark.metrics.metric_service import MetricService
  from helm.common.request import Request
  from .ai21_token_cost_estimator import AI21TokenCostEstimator
  from .cohere_token_cost_estimator import CohereTokenCostEstimator
  from .free_token_cost_estimator import FreeTokenCostEstimator
  from .gooseai_token_cost_estimator import GooseAITokenCostEstimator
  from .openai_token_cost_estimator import OpenAITokenCostEstimator
  from .token_cost_estimator import TokenCostEstimator
label_desc: Use image node_id 1 to create a new AutoTokenCostEstimator object from inherited base classes: TokenCostEstimator with example: obj = AutoTokenCostEstimator()