[aks-preview] subcommand to provision foundry and deploy openclaw

[HDYA]

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Related command

az aks openclaw deploy
az aks openclaw delete
az aks openclaw show

Description

Add az aks openclaw subcommand group to deploy and manage OpenClaw on AKS clusters with integrated Azure AI Foundry provisioning.

New commands:

Command	Description
az aks openclaw deploy	Provisions Azure AI Foundry resources (or uses existing ones), deploys the openclaw-kubernetes Helm chart with LiteLLM proxy, and configures the web UI on an AKS cluster.
az aks openclaw delete	Uninstalls the OpenClaw Helm release from the cluster and optionally deletes the auto-provisioned AIServices account.
az aks openclaw show	Shows OpenClaw deployment status including pod health and model configuration.

Key features:

• Auto-provisioning mode (default): Creates a new AIServices account and deploys the specified model (defaults to gpt-5.1-chat) with configurable capacity.
• BYO by resource ID: Uses an existing AIServices account via --ai-foundry-resource-id, auto-discovers model deployments.
• BYO by endpoint: Uses a raw endpoint and API key via --ai-foundry-endpoint and --ai-foundry-api-key.
• Deploys the openclaw-kubernetes Helm chart from oci://ghcr.io/feiskyer/openclaw-kubernetes/openclaw with auto-generated LiteLLM configuration.
• Creates an Azure File StorageClass for persistent storage.
• Patches the API format from openai-responses to openai-completions for compatibility.

Files changed (9 files, +1075 lines):

• _help.py — Help text for the 3 new commands
• _params.py — Parameter definitions (resource group, cluster name, AI Foundry options, model config, namespace)
• commands.py — Command group registration
• custom.py — CLI entry point functions
• openclaw/__init__.py — Package init
• openclaw/_consts.py — Constants (Helm chart URL, default model/version/capacity, API versions)
• openclaw/_helpers.py — Helper utilities (kubeconfig management, Helm operations, kubectl wrappers, values generation)
• openclaw/deploy.py — Core deployment logic (AI Foundry provisioning, BYO resolution, deploy/delete/show orchestration)
• tests/latest/test_openclaw.py — Unit tests

General Guidelines

• Have you run azdev style <YOUR_EXT> locally? (pip install azdev required)
• Have you run python test_index.py -q locally? (pip install wheel==0.30.0 required)
• My extension version conforms to the Extension version schema

For new extensions:

• My extension description/summary conforms to the Extension Summary Guidelines.

About Extension Publish

There is a pipeline to automatically build, upload and publish extension wheels.
Once your pull request is merged into main branch, a new pull request will be created to update index.json automatically.
You only need to update the version information in file setup.py and historical information in file HISTORY.rst in your PR but do not modify index.json.

Similar code found with 1 license type

[azure-client-tools-bot-prd]

Validation for Breaking Change Starting...

Thanks for your contribution!

[azure-client-tools-bot-prd]

Hi @HDYA,
Please write the description of changes which can be perceived by customers into HISTORY.rst.
If you want to release a new extension version, please update the version in setup.py as well.

[yonzhan]

Thank you for your contribution! We will review the pull request and get back to you soon.

[github-actions]

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[github-actions]

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[github-actions]

Hi @HDYA

Release Suggestions

Module: aks-preview

• Please log updates into to src/aks-preview/HISTORY.rst
• Update VERSION to 19.0.0b23 in src/aks-preview/setup.py

Notes

• For more info about extension versioning, please refer to Extension version schema