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Ready-to-use patterns and YAML manifests for orchestrating AI agents with Kelos. These examples demonstrate how to combine Tasks, Workspaces, and TaskSpawners into functional AI workflows.
Prerequisites
Kubernetes cluster (1.28+) with Kelos installed (kelos install)
Configure Kelos webhook servers using Gateway API instead of Ingress (Istio, Envoy, Kong, Nginx)
How to Use
Pick an example directory.
Read its README.md for context.
Edit the YAML files and replace every # TODO: placeholder with your real values.
Apply the resources:
kubectl apply -f examples/<example-directory>/
Watch the Task progress:
kubectl get tasks -w
Tips
Secrets first — always create Secrets before the resources that reference them.
Namespace — all examples use the default namespace. Change metadata.namespace
if you use a different one.
Cleanup — delete resources with kubectl delete -f examples/<example-directory>/.
Owner references ensure that deleting a Task also cleans up its Job and Pod.