Updated AI apps installations for airgapped deployment

articles/ai-deployment-airgapped.adoc

@@ -83,28 +83,52 @@ include::../glues/ai-ssecurity-intro.adoc[leveloffset=+2]
 include::../tasks/Security-installation-airgapped.adoc[leveloffset=+3]
 include::../tasks/observability-settingup-ai.adoc[leveloffset=+2]
 // AI library
+
 include::../glues/ai-library-intro.adoc[leveloffset=+1]
 :override-title: Installation procedure
+
 include::../tasks/AI-deployment-ailibrary-installing.adoc[leveloffset=+2]
+
 include::../tasks/cert-manager-installing.adoc[leveloffset=+2]
-// include::../tasks/opensearch-installing.adoc[leveloffset=+2]
+
+include::../tasks/opensearch-installing.adoc[leveloffset=+2]
+
 include::../tasks/milvus-installing.adoc[leveloffset=+2]
+
 include::../tasks/ollama-installing.adoc[leveloffset=+2]
+
 include::../references/ollama-helmchart.adoc[leveloffset=+3]
+
 include::../tasks/owui-installing.adoc[leveloffset=+2]
+
 include::../references/owui-helm-overrides.adoc[leveloffset=+3]
+
 include::../references/owui-helmchart.adoc[leveloffset=+3]
-// include::../tasks/vllm-installing.adoc[leveloffset=+2]
-// include::../references/vllm-helm-overrides.adoc[leveloffset=+3]
-// include::../tasks/mcpo-installing.adoc[leveloffset=+2]
-// include::../tasks/pytorch-installing.adoc[leveloffset=+2]
-// include::../references/pytorch-helm-overrides.adoc[leveloffset=+3]
-// include::../references/pytorch-helmchart.adoc[leveloffset=+3]
-// include::../tasks/mlflow-installing.adoc[leveloffset=+2]
-// include::../tasks/ai-deployment-ailibrary-deployer.adoc[leveloffset=+2]
-// steps after deployment
-// :override-title: Steps after the installation is complete
-// include::../tasks/AI-deployment-steps-after.adoc[leveloffset=+1]
+
+include::../tasks/vllm-installing.adoc[leveloffset=+2]
+
+include::../references/vllm-helm-overrides.adoc[leveloffset=+3]
+
+include::../tasks/mcpo-installing.adoc[leveloffset=+2]
+
+include::../tasks/pytorch-installing.adoc[leveloffset=+2]
+
+include::../references/pytorch-helm-overrides.adoc[leveloffset=+3]
+
+include::../references/pytorch-helmchart.adoc[leveloffset=+3]
+
+include::../tasks/qdrant-installing.adoc[leveloffset=+2]
+
+include::../references/qdrant-helm-overrides.adoc[leveloffset=+3]
+
+include::../tasks/litellm-installing.adoc[leveloffset=+2]
+
+include::../references/litellm-helm-overrides.adoc[leveloffset=+3]
+
+include::../references/litellm-helmchart.adoc[leveloffset=+3]
+
+include::../tasks/mlflow-installing.adoc[leveloffset=+2]
+//include::../tasks/ai-deployment-ailibrary-deployer.adoc[leveloffset=+2]
 
 [appendix]
 include::../references/AI-glossary.adoc[leveloffset=+1]

concepts/AI-air-gap-stack.adoc

@@ -28,5 +28,5 @@ The following simplified workflow outlines the intended usage:
 Transfer the downloaded content to an air-gapped _local_ host and add it as a {zypper} repository to install {nvidia} drivers on _local_ GPU nodes.
 . Use `SUSE-AI-get-images.sh` on a _remote_ host to download {docker} images of required {productname} components.
 Transfer them to an air-gapped _local_ host.
-. Use `SUSE-AI-load-images.sh` to load the transferred {docker} images of {productname} components into a custom _local_ ${docker} image registry.
-. Install {ailibrary} components on the _local_ {kube} cluster from the _local_ custom {docker} registry.
+. Use `SUSE-AI-load-images.sh` to load the transferred {docker} images of {productname} components into a custom _local_ {docker} image registry.
+. Install {ailibrary} applications on the _local_ {kube} cluster from the _local_ custom {docker} registry.

references/litellm-helm-overrides.adoc

@@ -18,21 +18,29 @@ endif::[]
 :override-abstract!:
 :override-title!:
 
-:revdate: 2026-02-10
+:revdate: 2026-03-25
 :page-revdate: {revdate}
 
 include::../snippets/helm-chart-overrides-intro.adoc[]
 
+ifeval::["{PROF_DEPLOYMENT}" == "standard"]
+:imgRegistry: {empty}
+endif::[]
+ifeval::["{PROF_DEPLOYMENT}" == "airgapped"]
+:imgRegistry: imageRegistry: <LOCAL_DOCKER_REGISTRY_URL>:5043
+endif::[]
+
 [#litellm-chart-example-basic]
 .Basic override file with {postgresql} deployment and master key automatically generated.
 ====
-[source,yaml]
+[source,yaml,subs="+attributes"]
 ----
 # litellm_custom_overrides.yaml
 global:
   imagePullSecrets: 
     - application-collection <.>
     - suse-ai-registry <.>
+    {imgRegistry}
 postgresql:
   persistence:
     storageClassName: "local-path" <.>

references/litellm-helmchart.adoc

@@ -57,4 +57,4 @@ include::../snippets/helm-chart-overrides-intro.adoc[]
 | `pdb.annotations` | Extra metadata annotations to add to the PDB | `{}`
 | `pdb.labels` | Extra metadata labels to add to the PDB | `{}`
 
-|===
+|===

references/ollama-helmchart.adoc

@@ -1,8 +1,15 @@
 [#ollama-helmchart]
 = Values for the {ollama} {helm} chart
-:revdate: 2025-12-22
+:revdate: 2026-03-24
 :page-revdate: {revdate}
 
+ifeval::["{PROF_DEPLOYMENT}" == "standard"]
+:imgRegistry: {empty}
+endif::[]
+ifeval::["{PROF_DEPLOYMENT}" == "airgapped"]
+:imgRegistry: imageRegistry: <LOCAL_DOCKER_REGISTRY_URL>:5043
+endif::[]
+
 include::../snippets/helm-chart-overrides-intro.adoc[]
 
 [IMPORTANT]
@@ -28,11 +35,12 @@ If you do not want to use the {nvidia} GPU, remove the `gpu` section from `ollam
 
 .Basic override file with GPU and two models pulled at startup
 ====
-[source,yaml]
+[source,yaml,subs="+attributes"]
 ----
 global:
   imagePullSecrets:
   - application-collection
+  {imgRegistry}
 ingress:
   enabled: false
 defaultModel: "gemma:2b"
@@ -54,7 +62,7 @@ persistentVolume: <.>
   enabled: true
   storageClass: local-path <.>
 ----
-<.> Without the `persistentVolume` option enabled, changes made to {ollama}--such as downloading other LLM-- are lost when the container is restarted.
+<.> Without the `persistentVolume` option enabled, changes made to {ollama}, such as downloading other LLM, are lost when the container is restarted.
 <.> Use `local-path` storage only for testing purposes.
 For production use, we recommend using a storage solution suitable for persistent storage, such as {sstorage}.
 ====