Openshift Container Platform (OCP) initial support - simplified

.github/ISSUE_TEMPLATE/bug_report.yml

@@ -113,7 +113,7 @@ body:
       placeholder: |
         - AICR version (CLI `aicr version`, API image tag, or commit SHA):
         - Install method (release binary / build from source / container image):
-        - Platform (eks/gke/aks/oke/kind/lke/other):
+        - Platform (eks/gke/aks/oke/ocp/kind/lke/other):
         - Kubernetes version:
         - OS (ubuntu/cos/other) + version:
         - Kernel version:
@@ -122,7 +122,7 @@ body:
       value: |
         - AICR version (CLI `aicr version`, API image tag, or commit SHA):
         - Install method (release binary / build from source / container image):
-        - Platform (eks/gke/aks/oke/kind/lke/other):
+        - Platform (eks/gke/aks/oke/ocp/kind/lke/other):
         - Kubernetes version:
         - OS (ubuntu/cos/other) + version:
         - Kernel version:

api/aicr/v1/server.yaml

@@ -112,7 +112,7 @@ paths:
           description: Kubernetes service/environment type. If omitted, treated as "any" (wildcard).
           schema:
             type: string
-            enum: [eks, gke, aks, oke, kind, lke, any]
+            enum: [eks, gke, aks, oke, ocp, kind, lke, any]
             default: any
         - name: accelerator
           in: query
@@ -479,7 +479,7 @@ paths:
           description: Kubernetes service/environment type. If omitted, treated as "any" (wildcard).
           schema:
             type: string
-            enum: [eks, gke, aks, oke, kind, lke, any]
+            enum: [eks, gke, aks, oke, ocp, kind, lke, any]
             default: any
         - name: accelerator
           in: query
@@ -1240,7 +1240,7 @@ components:
         service:
           type: string
           description: Kubernetes service type
-          enum: [eks, gke, aks, oke, kind, lke, any]
+          enum: [eks, gke, aks, oke, ocp, kind, lke, any]
           example: eks
         accelerator:
           type: string

docs/README.md

@@ -8,7 +8,7 @@ NVIDIA AI Cluster Runtime (AICR) is a suite of tooling designed to automate the
 |------|-------------|
 | **Snapshot** | A captured state of a system including OS, kernel, Kubernetes, GPU, and SystemD configuration. Created by `aicr snapshot` or the Kubernetes agent. |
 | **Recipe** | A generated configuration recommendation containing component references, constraints, and deployment order. Created by `aicr recipe` based on criteria or snapshot analysis. |
-| **Criteria** | Query parameters that define the target environment: `service` (eks/gke/aks/oke/kind/lke), `accelerator` (h100/gb200/b200/a100/l40/rtx-pro-6000), `intent` (training/inference), `os` (ubuntu/rhel/cos/amazonlinux/talos), `platform` (kubeflow), and `nodes`. |
+| **Criteria** | Query parameters that define the target environment: `service` (eks/gke/aks/oke/ocp/kind/lke), `accelerator` (h100/gb200/b200/a100/l40/rtx-pro-6000), `intent` (training/inference), `os` (ubuntu/rhel/cos/amazonlinux/talos), `platform` (kubeflow), and `nodes`. |
 | **Overlay** | A recipe metadata file that extends the base recipe for specific environments. Overlays are matched against criteria using asymmetric matching. |
 | **Mixin** | A composable recipe fragment (`kind: RecipeMixin`) that carries only `constraints` and `componentRefs`. Mixins live in `recipes/mixins/`, are excluded from overlay discovery, and are referenced by leaf overlays via `spec.mixins` to share orthogonal content (e.g., OS constraints, platform components) without duplication. See [ADR-005](design/005-overlay-refactoring.md). |
 | **Bundle** | Deployment artifacts generated from a recipe: Helm values files, Kubernetes manifests, installation scripts, and checksums. |

docs/contributor/api-server.md

@@ -262,7 +262,7 @@ Supported content types:
 
 | Parameter | Type | Validation | Example |
 |-----------|------|------------|--------|
-| `service` | ServiceType | Enum: eks, gke, aks, oke, kind, lke, any | `service=eks` |
+| `service` | ServiceType | Enum: eks, gke, aks, oke, ocp, kind, lke, any | `service=eks` |
 | `accelerator` | AcceleratorType | Enum: h100, gb200, b200, a100, l40, rtx-pro-6000, any | `accelerator=h100` |
 | `gpu` | AcceleratorType | Alias for accelerator | `gpu=h100` |
 | `intent` | IntentType | Enum: training, inference, any | `intent=training` |
@@ -277,7 +277,36 @@ Shared with CLI - same logic as described in CLI architecture.
 
 ### Recipe Generation
 
-Endpoints `GET /v1/recipe` (query parameters) and `POST /v1/recipe` (criteria body, `application/json` or `application/x-yaml`). See [Query Parameter Parsing](#query-parameter-parsing) above for the GET parameter table and [POST Request Body Format](#post-request-body-format) above for the body schema.
+**Endpoints**:
+- `GET /v1/recipe` - Generate recipe from query parameters
+- `POST /v1/recipe` - Generate recipe from criteria body
+
+#### GET Method
+
+**Query Parameters**:
+- `service` - Kubernetes service type (eks, gke, aks, oke, ocp, kind, lke)
+- `accelerator` - GPU/accelerator type (h100, gb200, b200, a100, l40, rtx-pro-6000)
+- `gpu` - Alias for accelerator (backwards compatibility)
+- `intent` - Workload intent (training, inference)
+- `os` - Operating system family (ubuntu, rhel, cos, amazonlinux, talos)
+- `nodes` - Number of GPU nodes (0 = any/unspecified)
+
+#### POST Method
+
+**Content Types**: `application/json`, `application/x-yaml`
+
+**Request Body**: `RecipeCriteria` resource with kind, apiVersion, metadata, and spec fields.
+
+```yaml
+kind: RecipeCriteria
+apiVersion: aicr.nvidia.com/v1alpha1
+metadata:
+  name: my-criteria
+spec:
+  service: eks
+  accelerator: h100
+  intent: training
+```
 
 **Response**: 200 OK
 

docs/contributor/cli.md

@@ -1701,7 +1701,7 @@ mkdir -p "$OUTPUT_DIR"
 GPU_TYPES=("h100" "gb200" "b200" "a100" "l40" "rtx-pro-6000")
 
 # Kubernetes services
-K8S_SERVICES=("eks" "gke" "aks" "oke" "kind" "lke")
+K8S_SERVICES=("eks" "gke" "aks" "oke" "ocp" "kind" "lke")
 
 # OS distributions
 OS_TYPES=("ubuntu" "rhel" "cos")

docs/contributor/data.md

@@ -123,7 +123,7 @@ Criteria define when a recipe matches a user query:
 
 | Field | Type | Description | Example Values |
 |-------|------|-------------|----------------|
-| `service` | String | Kubernetes platform | `eks`, `gke`, `aks`, `oke`, `kind`, `lke` |
+| `service` | String | Kubernetes platform | `eks`, `gke`, `aks`, `oke`, `ocp`, `kind`, `lke` |
 | `accelerator` | String | GPU hardware type | `h100`, `gb200`, `b200`, `a100`, `l40`, `rtx-pro-6000` |
 | `os` | String | Operating system | `ubuntu`, `rhel`, `cos`, `amazonlinux` |
 | `intent` | String | Workload purpose | `training`, `inference` |

docs/contributor/validations.md

@@ -93,7 +93,7 @@ conditions:
 
 **Supported Condition Keys:**
 - `intent`: Workload intent (training, inference)
-- `service`: Kubernetes service (eks, gke, aks, oke, kind, lke)
+- `service`: Kubernetes service (eks, gke, aks, oke, ocp, kind, lke)
 - `accelerator`: GPU type (h100, gb200, b200, a100, l40, rtx-pro-6000)
 - `os`: Operating system (ubuntu, rhel, cos, amazonlinux, talos)
 - `platform`: Platform/framework (kubeflow)