cdswctl command reference

You can manage your Cloudera AI Workbench cluster with the CLI client (cdswctl) that exists within the Cloudera AI Workbench. Running cdswctl without any arguments prints a brief description of each command.

Table 1. Model CLI Command Reference
Command	Description and usage
`cdswctl login`	It enables you to log into the model CLI client.
`cdswctl projects list`	It lists the projects.
`cdswctl models create`	It creates a model with the specified parameters.
`cdswctl models list`	It lists all models. You can refine the search by specifying the `modelId`.
`cdswctl models listBuild`	It lists the builds for a model. You can monitor the status of the build by specifying the `modelId` and the `projectId`.
`cdswctl models listDeployments`	It list the deployments for a model. You can refine the search by specifying the `modelId`. Use the `statusSet` parameter to check the status of the model being deployed.
`cdswctl models deploy`	It deploys a model with the specified parameters.
`cdswctl models listReplicas`	It enables you to view the list of model replicas. You also need this information to obtain replica logs.
`cdswctl models getReplicaLogs`	It enables you to view the logs for a model replica.
`cdswctl models restart`	It restarts a model. Usage: `cdswctl models restart --modelDeploymentId=<deployment_ID>` Note: Running this command does not change the resources if you previously ran the `cdswctl models update` command.
cdswctl models update	It changes the name, description, or visibility of the model. To change a model’s resources, use the cdswctl models deploy command
cdswctl models delete	It deletes a model. Usage: `cdswctl models delete --id=<model_ID>`
cdswctl runtime-addons list	It lists Runtime Addons.