Command-line Interfaces

The MLS CLI is a Python-based command-line tool designed for managing application deployments and system interactions within the MLSysOps framework. It provides functionalities for deploying and managing applications, infrastructure components, and machine learning (ML) models, as well as for querying system status and monitoring deployments. The CLI communicates with the Northbound API, enabling efficient interaction with the MLSysOps framework. Ke y functionalities provided by the MLS CLI through the NB API include service health checks (ping), application deployment, and retrieval of system, application, and ML model statuses. This tool streamlines deployment and management workflows, offering an intuitive interface for interacting with the agent-based framework while ensuring efficient system operations.

The CLI is organized into distinct command groups, each responsible for managing a specific aspect of the system: - apps: Manage application deployment, monitoring, and removal - infra: Register and manage infrastructure components across the continuum - ml: Handle the deployment and lifecycle of machine learning models - manage: Perform general system operations, such as health checks and mode switching

This structured CLI design ensures that different user roles can efficiently interact with the system based on their specific needs, further reinforcing the modular and scalable nature of the MLSysOps framework.

The table presents an overview of the CLI commands currently available. These commands are indicative and may be updated or extended in the open-source release.