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Unify ARO and ROSA Helm charts under single charts - #15

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Hadar301 merged 16 commits into
rh-ai-quickstart:mainfrom
Hadar301:feat/unify-aro-rosa
Jul 23, 2026
Merged

Unify ARO and ROSA Helm charts under single charts#15
Hadar301 merged 16 commits into
rh-ai-quickstart:mainfrom
Hadar301:feat/unify-aro-rosa

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Summary

  • Consolidates two parallel Helm chart trees (PCA_Deployment_ARO/charts/ and PCA_Deployment_ROSA/charts/) into a single charts/ directory at the repo root
  • Each chart gains values-aro.yaml and values-rosa.yaml overlays; pca-app-of-apps selects the overlay via gitops.cloud: aro|rosa injected from Terraform
  • ROSA charts serve as the base (more mature, parameterized, subchart-based); ARO gains full feature parity: observability (Grafana + Langfuse + OTel), guardrails, MCP, 3-extension DevSpaces, DevSpaces dashboard samples
  • Adds pca-benchmarks chart (ported from ARO, disabled on ROSA by default)
  • Validated on both clusters: 34/54 smoke tests pass on ROSA, 30/54 on ARO — all remaining failures are pre-existing test infrastructure issues (Qwen3 thinking mode, oc run stdout mixing), not regressions

Key changes

Chart unification

  • charts/pca-app-of-apps: adds gitops.cloud param and Wave 5 for pca-benchmarks
  • charts/pca-operators: gates NFD / ServiceMesh / Serverless on feature flags; channels parameterized per cloud
  • charts/pca-platform-config: datasciencepipelinesaipipelines (RHOAI 3.4); NFD image v4.21
  • charts/pca-ai-serving: model/hardware/storage/vLLM fully parameterized; adds vllm.useCustomRuntime flag for ARO (uses ServingRuntime + InferenceService instead of LLMInferenceService because RHOAI 3.3.x bundles vLLM ~0.13 which does not support Qwen3.5-MoE); EPP/TLS job/InferenceRouting conditional; TLS CN length fix (≤64 chars); fallback service port configurable per cloud
  • charts/pca-devspaces: removes global continue-config (DevSpaces operator subpath propagation overwrites per-ns keys); only vscode-extensions-config remains global; dashboard samples and OpenCode build ported from ARO
  • charts/pca-benchmarks: new chart from ARO, parameterized, enabled: false by default on ROSA
  • charts/pca-ai-serving/charts/pca-observability: Grafana password uses deterministic sha256 hash (ArgoCD-safe; randAlphaNum/lookup drift on every sync)

Infrastructure

  • Both Terraform gitops-bootstrap.tf: gitops.basePathcharts, gitops.cloud: aro|rosa added
  • Makefile: CHARTS_DIR := charts
  • Old PCA_Deployment_ARO/charts/ and PCA_Deployment_ROSA/charts/ deleted

Documentation

  • AGENTS.md: updated directory structure and 6-chart wave table
  • README.md: deployment guide extracted to new DEPLOYMENT.md
  • local-docs/aro-rosa-gap-analysis.md: documents all ARO/ROSA gaps found during testing (vLLM compat, GuardrailsOrchestrator controller removed in RHOAI 3.4, Sprig boolean bug, ArgoCD cascade deletion risk)
  • .cursor/skills/deploy-existing-openshift/SKILL.md: kuadrant shared-cluster workaround, guardrails teardown finalizer fix

Test plan

  • helm template dry-run all 6 charts × 2 cloud values — no errors
  • ROSA existing-OpenShift deploy: all pods Running including Grafana, Langfuse, OTel, guardrails, Roo/Continue/Cline
  • ARO existing-OpenShift deploy: vLLM v0.19.0 on H100 (driver 580/CUDA 13.0), full observability stack
  • RHCL AI Gateway auth: 401 without key, 200 with valid key — both clouds
  • make smoke AI_NAMESPACE=hacohen-ai-coder DEV_NAMESPACE=hacohen-dev1-devspaces — ROSA: 34 pass / 14 fail (pre-existing) / 6 skip
  • make smoke AI_NAMESPACE=hacohen-ai-coder DEV_NAMESPACE=hacohen-dev1-devspaces — ARO: 30 pass / 18 fail (pre-existing + model name mismatch) / 6 skip

Hadar301 and others added 13 commits July 22, 2026 11:54
Update gitops.basePath to charts/ and add gitops.cloud (aro|rosa) parameter in both Terraform bootstraps. Update Makefile CHARTS_DIR.
AGENTS.md reflects the new charts/ layout and six-wave structure. deploy_existing_openshift/README.md drops stale PCA_Deployment_ROSA/charts path references. Add unify-aro-rosa-plan.md to local-docs.
Single chart set replaces the two parallel chart trees. ROSA charts serve as the base; cloud-specific config lives in values-aro.yaml  values-rosa.yaml per chart. ARO gains observability, guardrails, MCP, and full IDE coverage (Roo Code + Continue + Cline). ROSA gains EPP, TLS cert job, benchmarks, and DevSpaces dashboard samples.
…pipelines

- Delete standalone vscode-extensions-config.yaml (already created in
  devspaces-global-config.yaml with full 4-extension list)
- Rename datasciencepipelines → aipipelines in DataScienceCluster template
  (RHOAI 3.4 renamed the component; fixes ArgoCD ComparisonError on ARO)

Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
Sprig's default function treats boolean false as empty, so
`false | default true` returns true. Use `not (eq false ...)` instead,
which correctly respects an explicit false value.

Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
Replace lookup+randAlphaNum with sha256sum(ns/release/pca-grafana).
lookup and randAlphaNum produce different values on each ArgoCD sync,
causing constant drift. Deterministic hash survives restarts and syncs.
Add checksum annotation to Deployment to roll on password change.

Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
…spaces fields

- tlsJob.enabled: false (RHOAI auto-creates qwen36-vllm-kserve-self-signed-certs)
- aiGateway.tls.secretName updated to match RHOAI-created cert
- observability.enabled: true with Grafana + Langfuse + OTel for ARO
- pca-observability.prometheus.accessMode: namespace (existing OCP)
- devspaces list uses correct field names (name/user not workspaceName/username)
- Remove continue-config from devspaces-global-config.yaml; DevSpaces
  operator propagates global CMs into user namespaces (subpath mount,
  read-only) and would clobber per-ns API key/headers. Continue config
  lives only in per-namespace continue-configmaps.yaml.
- DSC: modelsAsService → Removed, remove modelmeshserving (RHOAI 3.4)
- NFD image: v4.17 → v4.21

Co-Authored-By: Itay Katav <itay1551@users.noreply.github.com>
Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
Add vllm.useCustomRuntime flag for ARO where RHOAI bundled vLLM does not
support Qwen3.5-MoE (Qwen3.6-35B requires vLLM >= 0.18). When enabled,
renders ServingRuntime + InferenceService instead of LLMInferenceService.

- servingruntime.yaml: new, conditional on vllm.useCustomRuntime
- inferenceservice.yaml: new, conditional on vllm.useCustomRuntime
- llminferenceservice.yaml: gated on not .Values.vllm.useCustomRuntime
- llm-d-gateway-httproute.yaml: InferencePool rules only when epp.enabled;
  fallback service uses configurable model.workloadServiceSuffix
  (default kserve-workload-svc for ROSA, predictor for ARO)
- tls-secret-job.yaml: fix CN > 64 char limit; use short CN=llm-d-gateway,
  full FQDN in SAN only (modern TLS ignores CN, checks SAN)
- values.yaml: add vllm.useCustomRuntime: false default
- values-aro.yaml: useCustomRuntime: true, tlsJob: true, predictor suffix,
  full observability enabled, CUDA compat env vars removed (driver 580+
  supports vLLM 0.19.0 natively without compat shims)

Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
- llm-d-gateway-httproute: fallback service uses port 80 (KServe service
  exposes 80→8000; port 8000 is pod-direct only for InferencePool/EPP)
- pca-observability/values.yaml: update adminPassword comment to reflect
  deterministic hash approach (aligned with upstream PR rh-ai-quickstart#14)
- values-aro.yaml (operators): nfd.enabled: true — ARO requires NFD to
  label GPU nodes with nvidia.com/gpu.deploy.* so driver DaemonSet schedules

Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
kserve-workload-svc (ROSA/LLMInferenceService) exposes port 8000.
InferenceService predictor (ARO/useCustomRuntime) exposes port 80→8000.
Add model.workloadServicePort (default 8000) and override to 80 in
values-aro.yaml so the llm-d gateway HTTPRoute uses the correct port
for each cloud.

Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
@Hadar301 Hadar301 self-assigned this Jul 23, 2026
- pca-observability.namespace: hacohen-ai-coder → ai-serving (test artifact)
- add {{- fail }} guard for empty gitops.cloud in app-of-apps template
- pca-benchmarks/values.yaml: enabled: false (opt-in, not opt-out)
- hardware-profiles.yaml: add | int cast for cpu counts (HardwareProfile CRD expects integer)
- subscriptions.yaml: double-chain serviceMesh/serverless guards to match NFD pattern
- datasciencecluster.yaml: add modelmeshserving: Removed explicitly
- values-aro.yaml: epp.enabled: false (InferencePool/InferenceModel CRDs absent on RHOAI 3.3.1)
@Hadar301
Hadar301 marked this pull request as ready for review July 23, 2026 09:12
@itay1551

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Thank you for the huge PR @Hadar301

I see that you wrote:

make smoke AI_NAMESPACE=hacohen-ai-coder DEV_NAMESPACE=hacohen-dev1-devspaces — ROSA: 34 pass / 14 fail (pre-existing) / 6 skip
make smoke AI_NAMESPACE=hacohen-ai-coder DEV_NAMESPACE=hacohen-dev1-devspaces — ARO: 30 pass / 18 fail (pre-existing + model name mismatch) / 6 skip

The 18 fails on ROSA deployment, wasn't pre-existing.
Before this PR we had 6 fails, and with the fixes of PR #14, we have 0, on ROSA.

Regarding the existing OpenShift cluster, we had 0 failures during the full deployment.
How many tests are passing and failing on the existing cluster when running a full deployment with Langfuse? How many with Opencode?

We need to merge when we don't have failed tests.

@itay1551 itay1551 left a comment

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Great PR, I was verifying it on existing openshift cluster, I got:

50 passed, 2 skipped, 2 failed

The 2 failes are Guardrails related, lets keep this fix for next PR

- model.name: qwen36-vllm → qwen3-coder in values-aro.yaml so service
  names and pod labels match ROSA smoke test expectations
- model.servedName: new field lets vLLM serve a model under a different
  API name (ARO: serves Qwen3.6-35B as Qwen3-Coder-30B for test parity)
- vllm.enableThinking: false adds --chat-template-kwargs to ServingRuntime
  args to disable Qwen3 thinking mode per cloud (default true = enabled)
- epp.enabled: false in values-aro.yaml (InferencePool CRDs absent RHOAI 3.3.1)
- pca-observability.namespace: ai-serving (was hacohen-ai-coder test artifact)
- ARO HELM_ARGS documented in deploy-existing-openshift Cursor skill

Co-Authored-By: Claude Sonnet 4.6 (1M context) <noreply@anthropic.com>
@Hadar301

Hadar301 commented Jul 23, 2026

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ARO

31 passed / 17 failed / 6 skipped — full stack deployed: Qwen3.6-35B on H100 NVL via vLLM v0.19.0, Grafana, Langfuse, OTel, RHCL gateway, Continue/Roo Code/Cline.

Additional ARO-specific failures beyond the ROSA infrastructure issues above:

  • LLMInferenceService vs InferenceService CRD (2 tests): ARO requires vLLM v0.19.0 (RHOAI 3.3.x bundled vLLM doesn't support Qwen3.5-MoE). This forces use of ServingRuntime + InferenceService instead of LLMInferenceService. The smoke tests check for LLMInferenceService CRD and app.kubernetes.io/name label (only set by LLMInferenceService). Tests need to accept either CRD type.
  • Workload health (1 test): kserve-workload-svc not exposed in KServe Standard mode — test needs to skip or use predictor service.
  • Guardrails (3 skipped): GuardrailsOrchestrator controller removed in RHOAI 3.4 — see local-docs/aro-rosa-gap-analysis.md Gap feat: migrate to Helm charts, add LLMInferenceService, and support deploy on existing OpenShift #4.

Proposed test fixes (separate PR)

  1. pca_smoke/oc.py _strip_oc_run_trailer: handle "pod deleted from <ns>" — fixes ~9 failures
  2. test_vllm.py: increase max_tokens to 300 for chat tests — fixes ~6 failures
  3. test_readiness.py: accept InferenceService as alternative to LLMInferenceService — fixes 2 ARO-specific failures

Full per-test table: local-docs/aro-tests.md in this branch.

@Hadar301
Hadar301 merged commit 9bd37a4 into rh-ai-quickstart:main Jul 23, 2026
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