old_contents: import logging
  import shutil
  import typing
  from typing import Dict, Text
  
  from rasa.constants import DOCS_BASE_URL
  from rasa.cli.utils import minimal_kwargs, print_warning
  from rasa.model import get_model
  
  logger = logging.getLogger(__name__)
  
  if typing.TYPE_CHECKING:
      from rasa.core.agent import Agent
  
  
  def run(
      model: Text,
      endpoints: Text,
      connector: Text = None,
      credentials: Text = None,
      **kwargs: Dict
  ):
      """Runs a Rasa model.
  
      Args:
          model: Path to model archive.
          endpoints: Path to endpoints file.
          connector: Connector which should be use (overwrites `credentials`
          field).
          credentials: Path to channel credentials file.
          **kwargs: Additional arguments which are passed to
          `rasa.core.run.serve_application`.
  
      """
      import rasa.core.run
      import rasa.nlu.run
      from rasa.core.utils import AvailableEndpoints
  
      model_path = get_model(model)
  
      _endpoints = AvailableEndpoints.read_endpoints(endpoints)
  
      if not connector and not credentials:
          connector = "rest"
          print_warning(
              "No chat connector configured, falling back to the "
              "REST input channel. To connect your bot to another channel, "
              "read the docs here: {}/user-guide/"
              "messaging-and-voice-channels".format(DOCS_BASE_URL)
          )
  
      kwargs = minimal_kwargs(kwargs, rasa.core.run.serve_application)
      rasa.core.run.serve_application(
          model,
          channel=connector,
          credentials=credentials,
          endpoints=_endpoints,
          **kwargs
      )
  
      if model_path is not None:
          shutil.rmtree(model_path)
  
  
  def create_agent(model: Text, endpoints: Text = None) -> "Agent":
      from rasa.core.tracker_store import TrackerStore
      from rasa.core import broker
      from rasa.core.utils import AvailableEndpoints
  
      _endpoints = AvailableEndpoints.read_endpoints(endpoints)
  
      _broker = broker.from_endpoint_config(_endpoints.event_broker)
  
      _tracker_store = TrackerStore.find_tracker_store(
          None, _endpoints.tracker_store, _broker
      )
  
      return Agent.load(
          model,
          generator=_endpoints.nlg,
          tracker_store=_tracker_store,
          action_endpoint=_endpoints.action,
      )
  
new_contents: import logging
  import shutil
  import typing
  from typing import Dict, Text
  
  from rasa.constants import DOCS_BASE_URL
  from rasa.cli.utils import minimal_kwargs, print_warning
  from rasa.model import get_model
  
  logger = logging.getLogger(__name__)
  
  if typing.TYPE_CHECKING:
      from rasa.core.agent import Agent
  
  
  def run(
      model: Text,
      endpoints: Text,
      connector: Text = None,
      credentials: Text = None,
      **kwargs: Dict
  ):
      """Runs a Rasa model.
  
      Args:
          model: Path to model archive.
          endpoints: Path to endpoints file.
          connector: Connector which should be use (overwrites `credentials`
          field).
          credentials: Path to channel credentials file.
          **kwargs: Additional arguments which are passed to
          `rasa.core.run.serve_application`.
  
      """
      import rasa.core.run
      import rasa.nlu.run
      from rasa.core.utils import AvailableEndpoints
  
      model_path = get_model(model)
  
      _endpoints = AvailableEndpoints.read_endpoints(endpoints)
  
      if not connector and not credentials:
          connector = "rest"
          print_warning(
              "No chat connector configured, falling back to the "
              "REST input channel. To connect your bot to another channel, "
              "read the docs here: {}/user-guide/"
              "messaging-and-voice-channels".format(DOCS_BASE_URL)
          )
  
      kwargs = minimal_kwargs(kwargs, rasa.core.run.serve_application)
      rasa.core.run.serve_application(
          model,
          channel=connector,
          credentials=credentials,
          endpoints=_endpoints,
          **kwargs
      )
  
      if model_path is not None:
          shutil.rmtree(model_path)
  
  
  def create_agent(model: Text, endpoints: Text = None) -> "Agent":
      from rasa.core.tracker_store import TrackerStore
      from rasa.core import broker
      from rasa.core.utils import AvailableEndpoints
      from rasa.core.agent import Agent
  
      _endpoints = AvailableEndpoints.read_endpoints(endpoints)
  
      _broker = broker.from_endpoint_config(_endpoints.event_broker)
  
      _tracker_store = TrackerStore.find_tracker_store(
          None, _endpoints.tracker_store, _broker
      )
  
      return Agent.load(
          model,
          generator=_endpoints.nlg,
          tracker_store=_tracker_store,
          action_endpoint=_endpoints.action,
      )
  
subject: Add missing import