Introducing the New GitHub Action for using Kit CLI on MLOps pipelines

One of the goals of KitOps is streamlining AI integration with your existing DevOps practices. Our latest contribution on this evolving landscape is a GitHub Action that simplifies integrating Kit CLI into your existing CI/CD toolset. This development is particularly exciting for those looking to leverage ModelKits, our OCI-compliant AI project packaging, directly within their CI/CD pipelines.

With the Setup Kit CLI action. Using Kit as part of your Github workflows is effortless. You can setup the latest version of the CLI to your workflow simply by adding the following to your workflow.

steps:
  - uses: jozu-ai/gh-kit-setup@v1.0.0
    id: install_kit

KitOps uniquely addresses a critical challenge in AI/ML development: the versioning and management of all project artifacts—including code, models, and data—under a unified framework. This integrated approach ensures that each component of an AI project is tracked and managed with precision, eliminating the common pitfalls associated with fragmented artifact management.

ModelKits, being OCI compliant, provide a standardized way to package AI projects, ensuring compatibility across your existing infrastructure. This standardization is vital for teams looking to deploy AI solutions in diverse operational landscapes without getting bogged down by compatibility issues.

To begin taking advantage of the streamlined AI project management KitOps offers, simply incorporate the Setup Kit CLI action into your GitHub workflows. For an in-depth understanding of all the features this action provides, visit the detailed documentation linked above.

As we continue to innovate and improve KitOps, your feedback is invaluable to us. Whether you're encountering challenges, have suggestions for new features, or simply want to share your success stories, we're all ears. You can provide feedback on our GitHub repo or our Discord channel.