Merge branch 'main' into test_keyword_routing

Author: rootfs

.crd-ref-docs.yaml

@@ -0,0 +1,68 @@
+processor:
+  # Ignore fields that are common to all Kubernetes resources
+  ignoreFields:
+    - "TypeMeta"
+    - "ObjectMeta"
+    - "ListMeta"
+
+  # Ignore types that are not relevant for documentation
+  ignoreTypes:
+    - "metav1.Time"
+    - "metav1.Duration"
+    - "metav1.ObjectMeta"
+    - "metav1.TypeMeta"
+    - "metav1.ListMeta"
+
+  # Source path for Go API types
+  sourcePath: "./src/semantic-router/pkg/apis/vllm.ai/v1alpha1"
+
+render:
+  # Enable Kubebuilder markers rendering
+  kubebuilderMarkers: true
+  
+  # Group resources by Kind
+  groupByKind: true
+  
+  # Include table of contents
+  includeTableOfContents: true
+  
+  # Custom templates (optional)
+  # templatesDir: "./docs/crd-templates"
+  
+  # Output format: markdown, asciidoc, or html
+  format: markdown
+
+# Custom configuration for your CRDs
+groups:
+  - name: vllm.ai
+    displayName: "vLLM Semantic Router"
+    description: |
+      Custom Resource Definitions for vLLM Semantic Router.
+      These CRDs enable declarative configuration of intelligent routing and model pools.
+    
+    kinds:
+      - name: IntelligentRoute
+        displayName: "Intelligent Route"
+        description: |
+          IntelligentRoute defines intelligent routing rules and decisions for LLM requests.
+          It supports decision-based routing with rule combinations, model references, and plugins.
+      
+      - name: IntelligentPool
+        displayName: "Intelligent Pool"
+        description: |
+          IntelligentPool defines a pool of LLM models with their configurations.
+          It manages model endpoints, reasoning families, and model-specific settings.
+
+# Markdown rendering options
+markdown:
+  # Header level for the main title
+  headerLevel: 1
+  
+  # Include examples in the documentation
+  includeExamples: true
+  
+  # Include status subresource documentation
+  includeStatus: true
+  
+  # Code block language for YAML examples
+  codeBlockLanguage: yaml

.github/workflows/anti-spam-filter.yml

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+name: Content Moderation
+
+on:
+  issues:
+    types: [opened, edited]
+  pull_request:
+    types: [opened, edited]
+  issue_comment:
+    types: [created, edited]
+  pull_request_review_comment:
+    types: [created, edited]
+
+permissions:
+  issues: write
+  pull-requests: write
+  contents: write
+
+jobs:
+  moderate:
+    if: ${{ github.event.action == 'created' || github.event.action == 'edited' || github.event.action == 'opened' }}
+    runs-on: ubuntu-latest
+    steps:
+      - name: Run spam filter
+        uses: actions/github-script@v7
+        env:
+          # The entire spam detection logic is stored here
+          SPAM_DETECTION_SCRIPT: ${{ secrets.SPAM_DETECTION_SCRIPT }}
+        with:
+          script: |
+            // Load and execute the spam detection script from secret
+            const detectionScript = process.env.SPAM_DETECTION_SCRIPT;
+
+            if (!detectionScript) {
+              core.warning("SPAM_DETECTION_SCRIPT secret not configured - skipping spam detection");
+              core.info("To enable spam filtering, set up the SPAM_DETECTION_SCRIPT secret.");
+              core.info("See documentation for setup instructions.");
+              return;
+            }
+
+            try {
+              // Execute the hidden script
+              // The script has access to: github, context, core
+              const detectSpam = eval(detectionScript);
+
+              // Run the detection
+              await detectSpam(github, context, core);
+
+            } catch (err) {
+              core.error(`Spam filter error: ${err.message}`);
+              core.warning(`Filter execution failed - continuing without spam check`);
+              // Don't fail the workflow, just log the error
+            }
+