aioli-sdk 2026.7.0

Aioli (AI OnLine Inference), a platform for deploying AI models at scale.

AIE CLI

Streamlined Access to MLIS Operations

License

The AIE CLI and related code are part of HPE’s standard EULA licensed software and must be used in accordance with the applicable license terms. This document is provided for informational guidance only, and all rights, usage limits, and obligations remain subject to HPE’s licensing policies. Any deployment, modification, or distribution must comply with the HPE EULA and internal approval requirements. All referenced assets, workflows, and technical details should be treated as governed by standard license and compliance controls.

Preface

The AIE CLI is a lightweight, yet powerful tool designed InHouse to provide command-line access to MLIS operations on PCAI-C and PCAI-D Incorporated AIE clusters. It bridges the gap between manual efforts, interactions and fully automated workflows, enabling seamless orchestration, validation, and operational efficiency for administrators, developers, and stakeholders. This document outlines its purpose, benefits, deployment strategy, and technical metadata for a clear understanding of its business and technical impact.

Why Deploy This Tool?

• Enables CLI access to existing AIE operations from outside the AIE cluster.
• Allows administrators to create and automate workflows, significantly reducing manual effort.

What Does It Accomplish?

• Provides command-line execution for MLIS actions: create, list, update, delete operations on registries, models, and deployments.
• Contains no business logic; dependent on an active AIE instance.
• Supports automated validation for PCAI-C and PCAI-D deployments, ensuring adherence to standards with auditability.
• Enables full automation of MLIS operations, e.g., integration test suites using the CLI for validation.

Who Benefits?

• Customers: Easily access and automate MLIS operations on their AIE cluster without custom scripts.
• Development Teams: Standard distribution via PyPI eliminates the need for custom deployment mechanisms and simplifies maintenance.

Where and When Can It Be Implemented?

• Installed on customer development environments: desktop, batch jobs, CI/CD pipelines with access to AIE cluster.
• Compatible with on-premises, edge, and cloud infrastructures (PCAI-C and PCAI-D deployments).

Deployment & Testing

• Built, installed, and tested within the development workflow.
• Distribution via PyPI triggers a publish workflow; seamless installation via pip install.
• OSS dependencies handled automatically by pip; no additional network or configuration required beyond standard EULA compliance.

Technical Metadata

• Package Details: aioli_sdk.egg-info directory
• Dependency Libraries: aioli_sdk.egg-info/requires.txt
• External Dependencies: Fully handled by pip during installation

Accelerates adoption, improves operational efficiency, and ensures PCAI compliance with a robust, scalable, and audit-ready CLI.

Author: HPE EULA