CLI Harness

DevOps around the Core

CLI Harness is the command-line interface that brings the Core Engine directly into your development workflows. Designed for engineers who need to integrate AI operations into automated pipelines, it provides a robust, scriptable interface for triggering tasks, managing models, and processing data at scale—without requiring a graphical environment.

Overview

Modern AI workflows don’t live in isolation. They exist within complex CI/CD pipelines, batch jobs, and automated testing suites. CLI Harness bridges the gap between the Core Engine’s capabilities and the infrastructure that runs your software. Whether you’re triggering evaluations on every pull request, provisioning models across environments, or streaming logs from a headless deployment, CLI Harness gives you the control you need from the terminal.

Key Features

• Pipeline Integration — Trigger AI tasks from any CI/CD system. Works with GitHub Actions, GitLab CI, Jenkins, and custom pipelines out of the box.
• Batch Processing & Bulk Evaluations — Process large datasets and run evaluations across multiple models in a single command, with parallel execution support.
• Model Provisioning & Config Management — Deploy, update, and configure models through declarative configuration files, version-controlled alongside your code.
• Log Streaming & Real-Time Metrics — Stream logs and monitor task performance in real time, with structured output formats for parsing and alerting.
• Secret Injection & Environment-Aware Configs — Securely handle API keys and credentials with built-in secret management that adapts to your environment.

Use Cases

Integrate AI quality gates into your deployment pipeline. Automate model regression testing on a schedule. Run bulk inference jobs as part of your nightly batch processing. CLI Harness handles the operational complexity so your team can focus on building intelligent systems.

Getting Started

Install CLI Harness, authenticate with your Core Engine instance, and run your first task in under five minutes. Full documentation and configuration examples are available in the developer portal.