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`	Enables you to log into the model CLI client
`cdswctl projects list`	Lists the projects
`cdswctl models create`	Creates a model with the specified parameters
`cdswctl models list`	Lists all models You can refine the search by specifying the `modelId`
`cdswctl models listBuild`	Lists the builds for a model You can monitor the status of the build by specifying the `modelId` and the `projectId`
`cdswctl models listDeployments`	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`	Deploys a model with the specified parameters
`cdswctl models listReplicas`	Enables you to view the list of model replicas You also need this information to obtain replica logs
`cdswctl models getReplicaLogs`	Enables you to view the logs for a model replica
`cdswctl models restart`	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	Changes the name, description, or visibility of the model To change a model’s resources, use the cdswctl models deploy command
cdswctl models delete	Deletes a model Usage: `cdswctl models delete --id=<model_ID>`