content: #  Copyright (c) ZenML GmbH 2025. All Rights Reserved.
  #
  #  Licensed under the Apache License, Version 2.0 (the "License");
  #  you may not use this file except in compliance with the License.
  #  You may obtain a copy of the License at:
  #
  #       https://www.apache.org/licenses/LICENSE-2.0
  #
  #  Unless required by applicable law or agreed to in writing, software
  #  distributed under the License is distributed on an "AS IS" BASIS,
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  #  or implied. See the License for the specific language governing
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  """Deployers are stack components responsible for deploying pipelines as HTTP services.
  
  Deploying pipelines is the process of hosting and running machine-learning
  pipelines as part of a managed web service and providing access to pipeline
  execution through an API endpoint like HTTP or GRPC. Once deployed, you can send
  execution requests to the pipeline through the web service's API and receive
  responses containing the pipeline results or execution status.
  
  Add a deployer to your ZenML stack to be able to provision pipelines deployments
  that transform your ML pipelines into long-running HTTP services
  for real-time, on-demand execution instead of traditional batch processing.
  
  When present in a stack, the deployer also acts as a registry for pipeline
  endpoints that are deployed with ZenML. You can use the deployer to list all
  deployments that are currently provisioned for online execution or filtered
  according to a particular snapshot or configuration, or to delete an external
  deployment managed through ZenML.
  """
  
  from zenml.deployers.base_deployer import (
      BaseDeployer,
      BaseDeployerFlavor,
      BaseDeployerConfig,
  )
  from zenml.deployers.containerized_deployer import (
      ContainerizedDeployer,
  )
  from zenml.deployers.docker.docker_deployer import (
      DockerDeployer,
      DockerDeployerConfig,
      DockerDeployerFlavor,
      DockerDeployerSettings,
  )
  from zenml.deployers.local.local_deployer import (
      LocalDeployer,
      LocalDeployerConfig,
      LocalDeployerFlavor,
      LocalDeployerSettings,
  )
  
  __all__ = [
      "BaseDeployer",
      "BaseDeployerFlavor",
      "BaseDeployerConfig",
      "ContainerizedDeployer",
      "DockerDeployer",
      "DockerDeployerConfig",
      "DockerDeployerFlavor",
      "DockerDeployerSettings",
      "LocalDeployer",
      "LocalDeployerConfig",
      "LocalDeployerFlavor",
      "LocalDeployerSettings",
  ]
  