You can use Openlayer in two modes:

  • development: to test your AI system during development, helping you track improvements across versions.
  • monitoring: to continuously test your live AI system serving requests.

This guide shows how to set up Openlayer’s development mode as part of your CI/CD pipeline using a Git repository. It also shows how to leverage the same setup to monitor your live AI system with monitoring mode.

Prerequisite: you need an Openlayer account to follow this guide.

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1. Find a template

To accelerate the setup, we use templates. Templates are sample projects that use common AI patterns and tools, and that already contain the configurations required by Openlayer.

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2. Create tests

You have a GitHub repo linked to an Openlayer project. You can view the artifacts on Openlayer and start creating tests.

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3. Make changes

From now on, every version of your system will get evaluated against your tests. All you need to do is keep pushing to your connected GitHub repo.

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4. Ship

After some development iterations, you’ll want to deploy your AI system. You can continuously run your tests on your live data.

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