Merge branch 'main' into feat/automl-create

Resolved conflicts in AutomlExperiments component:
- Accepted main's refactoring that moved create button to parent component
- Fixed routing in AutomlExperimentsPage to use automlConfigurePathname
- Aligned with AutoRAG implementation pattern

The create button is now in AutomlExperimentsPage with label
"Create AutoML optimization run" and proper routing to configure page.

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

Author: nickmazzi

frontend/config/webpack.dev.js

@@ -164,14 +164,15 @@ module.exports = smp.wrap(
             }
 
             if (!dashboardHost) {
-              // try to get dashboard host from Route
+              // try to get dashboard host from Route, but skip if its backend is a redirect service
               try {
-                dashboardHost = execSync(
-                  `oc get routes -n ${odhProject} ${app} -o jsonpath='{.spec.host}'`,
-                  { stdio: ['pipe', 'pipe', 'ignore'] },
-                )
-                  .toString()
-                  .trim();
+                const routeJson = execSync(`oc get routes -n ${odhProject} ${app} -o json`, {
+                  stdio: ['pipe', 'pipe', 'ignore'],
+                }).toString();
+                const route = JSON.parse(routeJson);
+                if (route?.spec?.to?.name !== 'dashboard-redirect') {
+                  dashboardHost = route?.spec?.host;
+                }
               } catch (e) {
                 // ignore
               }

packages/automl/.env.local.example

@@ -15,3 +15,6 @@ DEV_MODE=true
 
 # Logging Level: DEBUG, INFO, WARN, ERROR
 LOG_LEVEL=INFO
+
+# Pipeline Server override (optional - for local dev when not using DSPA discovery)
+# PIPELINE_SERVER_URL=https://localhost:8443

packages/automl/.eslintrc.js

@@ -5,9 +5,18 @@ module.exports = require('@odh-dashboard/eslint-config')
       '!.github',
       // Ignore non-JS/TS files in api (OpenAPI specs)
       'api/**/*',
-      // Ignore Go backend files but allow markdown
-      'bff/**/*',
-      '!bff/**/*.md',
+      // Ignore Go backend sources; keep bff/*.md and bff/docs/*.md lintable (bff/**/* + negation is unreliable in ESLint)
+      'bff/cmd/**',
+      'bff/internal/**',
+      'bff/bin/**',
+      'bff/static/**',
+      'bff/go.mod',
+      'bff/go.sum',
+      'bff/go.work.sum',
+      'bff/Makefile',
+      'bff/.golangci.yaml',
+      'bff/.gitignore',
+      'bff/**/*.go',
       // Ignore frontend (has its own eslint config) but allow markdown
       'frontend/**/*',
       '!frontend/**/*.md',

packages/automl/api/openapi/automl.yaml

@@ -560,6 +560,64 @@ paths:
         Supports all common line endings (\n, \r\n, \r) and properly handles quoted CSV fields.
         Returns a 400 Bad Request error if the file has fewer than 100 data rows.
 
+  # =============================================================================
+  # MODEL REGISTRY ENDPOINTS
+  # =============================================================================
+
+  /api/v1/model-registries/{registryId}/models:
+    summary: Register a model in a specific Model Registry instance
+    description: >-
+      Registers a model binary by creating a RegisteredModel, ModelVersion, and
+      ModelArtifact in the specified Model Registry instance. The model binary
+      remains in S3; the ModelArtifact.uri points to the S3 location.
+      The registryId path parameter is the Kubernetes UID of the ModelRegistry CR
+      (from GET /api/v1/model-registries). The BFF resolves the server_url for that
+      instance and POSTs to the Model Registry REST API.
+      Returns 404 if the ID is unknown, 403 if the user cannot list ModelRegistries,
+      and 503 if the registry exists but is not ready.
+    post:
+      tags:
+        - ModelRegistry
+      security:
+        - Bearer: []
+      parameters:
+        - $ref: "#/components/parameters/namespace"
+        - name: registryId
+          in: path
+          required: true
+          schema:
+            type: string
+          description: Kubernetes UID of the target ModelRegistry CR (from GET /api/v1/model-registries id field)
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              $ref: "#/components/schemas/RegisterModelRequest"
+      responses:
+        "201":
+          $ref: "#/components/responses/RegisterModelResponse"
+        "400":
+          $ref: "#/components/responses/BadRequest"
+        "401":
+          $ref: "#/components/responses/Unauthorized"
+        "403":
+          $ref: "#/components/responses/Forbidden"
+        "404":
+          $ref: "#/components/responses/NotFound"
+        "409":
+          $ref: "#/components/responses/Conflict"
+        "500":
+          $ref: "#/components/responses/InternalServerError"
+        "503":
+          $ref: "#/components/responses/ServiceUnavailable"
+      operationId: registerModel
+      summary: Register model binary
+      description: >-
+        Creates RegisteredModel, ModelVersion, and ModelArtifact in the Model Registry,
+        linking the artifact to the provided S3 URI. Requires s3_path, model_name,
+        and version_name in the request body.
+
   # =============================================================================
   # PIPELINE RUNS ENDPOINTS
   # =============================================================================
@@ -1024,6 +1082,70 @@ components:
           not:
             required: [label_column]
 
+    RegisterModelRequest:
+      type: object
+      description: >-
+        Request body for registering a model binary in the Model Registry.
+        The target registry is identified by the registryId path parameter.
+      required:
+        - s3_path
+        - model_name
+        - version_name
+      properties:
+        s3_path:
+          type: string
+          minLength: 1
+          pattern: "^s3a?://[^/]+/.+"
+          description: S3 URI where the model binary is stored (s3:// or s3a:// scheme required)
+          example: "s3://my-bucket/models/v1/model.bin"
+        model_name:
+          type: string
+          minLength: 1
+          pattern: "\\S"
+          description: Name of the registered model (must contain at least one non-whitespace character)
+          example: "my-model"
+        model_description:
+          type: string
+          description: Optional description of the model
+        version_name:
+          type: string
+          minLength: 1
+          pattern: "\\S"
+          description: Name of the model version (must contain at least one non-whitespace character)
+          example: "v1"
+        version_description:
+          type: string
+          description: Optional description of this version
+        artifact_name:
+          type: string
+          description: Name for the ModelArtifact; defaults to version_name if empty
+        artifact_description:
+          type: string
+          description: Optional description of the artifact
+        model_format_name:
+          type: string
+          description: Optional format (e.g., onnx, pytorch, tensorflow)
+        model_format_version:
+          type: string
+          description: Optional format version (e.g., 1.0)
+
+    ModelArtifact:
+      type: object
+      description: Model artifact created in the Model Registry, pointing to the S3 URI
+      properties:
+        id:
+          type: string
+          description: Unique identifier of the artifact
+        name:
+          type: string
+          description: Artifact name
+        uri:
+          type: string
+          description: S3 URI of the model binary
+        artifactType:
+          type: string
+          description: Type of the artifact (e.g., model-artifact)
+
     CreateAutoMLRunRequest:
       description: >-
         Request body for creating an AutoML pipeline run. The schema varies based on the
@@ -1385,6 +1507,21 @@ components:
               data:
                 $ref: "#/components/schemas/PipelineRun"
 
+    RegisterModelResponse:
+      description: Registered model artifact
+      content:
+        application/json:
+          schema:
+            type: object
+            required:
+              - data
+            properties:
+              metadata:
+                type: object
+                description: Response metadata
+              data:
+                $ref: "#/components/schemas/ModelArtifact"
+
     BadRequest:
       description: Bad Request
       content:
@@ -1456,7 +1593,7 @@ components:
     Conflict:
       description: >-
         Conflict (e.g. S3 conditional upload failed because the object already exists at the
-        resolved key; client may retry the request)
+        resolved key, or duplicate model name in the registry; client may retry the request)
       content:
         application/json:
           schema:

packages/automl/bff/README.md

@@ -17,6 +17,8 @@ This service exposes the following endpoints:
 - GET `/api/v1/pipeline-runs` – query merged pipeline runs from all auto-discovered AutoML pipelines
 - GET `/api/v1/pipeline-runs/:runId` – get a single pipeline run with full task details
 - POST `/api/v1/pipeline-runs` – create a new AutoML pipeline run
+- GET `/api/v1/model-registries` – list Model Registry instances (Kubernetes CRs) with `id` and `server_url` for routing
+- POST `/api/v1/model-registries/:registryId/models` – register a model binary in a specific Model Registry instance
 
 ## Development
 
@@ -104,8 +106,12 @@ GET  /api/v1/secrets             (filter secrets by type, e.g., ?namespace=defau
 GET  /api/v1/pipeline-runs       (query merged runs from all auto-discovered AutoML pipelines)
 GET  /api/v1/pipeline-runs/:runId
 POST /api/v1/pipeline-runs       (create a new AutoML pipeline run)
+GET  /api/v1/model-registries    (list Model Registry instances: id, server_url, readiness)
+POST /api/v1/model-registries/:registryId/models  (register model in a specific registry)
 ```
 
+For Model Registry integration details (configuration, authentication, S3), see [docs/model-registry-integration.md](docs/model-registry-integration.md).
+
 For detailed information about the secrets endpoint, see [docs/secrets-endpoint.md](docs/secrets-endpoint.md).
 
 ### Sample local calls

packages/automl/bff/cmd/main.go

@@ -5,17 +5,16 @@ import (
 	"crypto/tls"
 	"flag"
 	"fmt"
+	"log/slog"
+	"net/http"
+	"os"
 	"os/signal"
 	"strings"
 	"syscall"
+	"time"
 
 	"github.com/opendatahub-io/automl-library/bff/internal/api"
 	"github.com/opendatahub-io/automl-library/bff/internal/config"
-
-	"log/slog"
-	"net/http"
-	"os"
-	"time"
 )
 
 func main() {