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The ARNIE AI backend is the core engine of the ARNIE AI operator. Describe what you want in plain language and ARNIE writes the Ansible playbooks, pulls Helm charts, and installs full applications and operators — from a single request to a running system. It connects GitHub, Ansible Automation Platform, and OpenShift into one pipeline: ARNIE generates the automation, you approve it, and it executes live on your cluster with every step recorded. A BLCKBX product.
The following information was extracted from the dockerfile and other sources.
| Canonical image ID | arnie-ai-backend |
| Summary | ARNIE AI — AI infrastructure operator |
| Description | Python 3.12 available as container is a base platform for building and running various Python 3.12 applications and frameworks. Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python's elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms. |
| Provider | Brandon Jumper |
| Maintainer | BLCKBX |
| Repository name | arnie-ai |
| Image version | 1.0.0 |
| Architecture | amd64 |
| Usage | s2i build https://github.com/sclorg/s2i-python-container.git --context-dir=3.12/test/setup-test-app/ ubi9/python-312 python-sample-app |
| Exposed ports | 8080:http |
The following evidence verifies the image's security and build process compliance with mandated internal standards.
| Security audit date | 7/4/2026, 12:58:38 AM |
| Container certification |
Pull the ARNIE AI backend image using the command shown above. The backend serves the ARNIE API and runs alongside the ARNIE AI UI component. After deploying, connect your GitHub, Ansible Automation Platform, OpenShift, and AI provider credentials in the application settings to start turning requests into real infrastructure changes.