Adding Fast Model Actuation (FMA) to WVA's benchmarking framework

Signed-off-by: aavarghese <avarghese@us.ibm.com>

Author: aavarghese

.github/workflows/ci-benchmark.yaml

@@ -81,7 +81,6 @@ jobs:
               const platform = context.payload.inputs.platform;
               const runUrl = `https://github.com/${context.repo.owner}/${context.repo.repo}/actions/runs/${context.runId}`;
               console.log(`Manual benchmark dispatch for ${platform}`);
-              
               core.setOutput('run_benchmark', 'true');
               core.setOutput('platform', platform);
 
@@ -190,10 +189,8 @@ jobs:
           IMAGE_TAG="bench-$(printf '%s' "$GIT_REF" | cut -c1-8)"
           FULL_IMAGE="${REGISTRY}/${IMAGE_NAME}:${IMAGE_TAG}"
           echo "Building image: $FULL_IMAGE"
-          
           make docker-build IMG="$FULL_IMAGE"
           make docker-push IMG="$FULL_IMAGE"
-          
           echo "image_tag=${IMAGE_TAG}" >> $GITHUB_OUTPUT
 
   benchmark-kind:
@@ -292,6 +289,90 @@ jobs:
           INSTALL_GRAFANA: "true"
         run: make deploy-e2e-infra
 
+      - name: Install ko for FMA image builds
+        uses: ko-build/setup-ko@d006021bd0c28d1ce33a07e7943d48b079944c8d
+        with:
+          version: v0.15.2
+
+      - name: Clone FMA repository
+        uses: actions/checkout@v4
+        with:
+          repository: llm-d-incubation/llm-d-fast-model-actuation
+          path: fma-repo
+          token: ${{ secrets.GITHUB_TOKEN }}
+
+      - name: Build and load FMA images into Kind
+        id: fma-images
+        run: |
+          cd fma-repo
+          # Build all FMA images locally and load into Kind
+          make build-test-requester-local build-test-launcher-local build-controller-local build-populator-local
+          make load-test-requester-local load-test-launcher-local load-controller-local load-populator-local CLUSTER_NAME=kind-wva-gpu-cluster
+          # Export image names for the benchmark step
+          echo "launcher=$(make echo-var VAR=TEST_LAUNCHER_IMG)" >> $GITHUB_OUTPUT
+          echo "requester=$(make echo-var VAR=TEST_REQUESTER_IMG)" >> $GITHUB_OUTPUT
+
+      - name: Set up FMA prerequisites in Kind cluster
+        env:
+          FMA_NAMESPACE: llm-d-sim
+        run: |
+          # Label GPU nodes
+          for node in $(kubectl get nodes -o name | sed 's%^node/%%'); do
+            kubectl label node $node nvidia.com/gpu.present=true nvidia.com/gpu.product=NVIDIA-L40S nvidia.com/gpu.count=2 --overwrite=true
+          done
+
+          # Create gpu-map ConfigMap with fake GPU mappings
+          kubectl create cm gpu-map -n "$FMA_NAMESPACE" || true
+          for node in $(kubectl get nodes -o name | sed 's%^node/%%'); do
+            kubectl patch cm gpu-map -n "$FMA_NAMESPACE" --type=merge -p="{\"data\":{\"$node\":\"{\\\"GPU-0\\\": 0, \\\"GPU-1\\\": 1}\"}}"
+          done
+
+          # Create service accounts and RBAC
+          kubectl create sa testreq -n "$FMA_NAMESPACE" || true
+          kubectl create sa testlauncher -n "$FMA_NAMESPACE" || true
+          cd fma-repo
+          kubectl apply -n "$FMA_NAMESPACE" -f - <<'EOF'
+          apiVersion: rbac.authorization.k8s.io/v1
+          kind: Role
+          metadata:
+            name: testreq
+          rules:
+          - apiGroups: ["fma.llm-d.ai"]
+            resources: ["inferenceserverconfigs", "launcherconfigs"]
+            verbs: ["get", "list", "watch"]
+          - apiGroups: [""]
+            resourceNames: ["gpu-map", "gpu-allocs"]
+            resources: ["configmaps"]
+            verbs: ["update", "patch", "get", "list", "watch"]
+          - apiGroups: [""]
+            resources: ["configmaps"]
+            verbs: ["create"]
+          - apiGroups: [""]
+            resources: ["pods"]
+            verbs: ["get", "list", "watch"]
+          EOF
+          kubectl create rolebinding testreq --role=testreq --serviceaccount="$FMA_NAMESPACE":testreq -n "$FMA_NAMESPACE" || true
+          kubectl apply -n "$FMA_NAMESPACE" -f - <<'EOF'
+          apiVersion: rbac.authorization.k8s.io/v1
+          kind: Role
+          metadata:
+            name: testlauncher
+          rules:
+          - apiGroups: [""]
+            resourceNames: ["gpu-map"]
+            resources: ["configmaps"]
+            verbs: ["get", "list", "watch"]
+          - apiGroups: [""]
+            resources: ["pods"]
+            verbs: ["get", "patch"]
+          EOF
+          kubectl create rolebinding testlauncher --role=testlauncher --serviceaccount="$FMA_NAMESPACE":testlauncher -n "$FMA_NAMESPACE" || true
+
+      - name: Deploy FMA controllers
+        env:
+          FMA_REPO_PATH: ./fma-repo
+        run: make deploy-fma
+
       - name: Run benchmark
         env:
           ENVIRONMENT: kind-emulator
@@ -304,6 +385,9 @@ jobs:
           BENCHMARK_GRAFANA_PANEL_DIR: /tmp/benchmark-panels
           KV_SPARE_TRIGGER: "0.1"
           QUEUE_SPARE_TRIGGER: "3"
+          FMA_LAUNCHER_IMAGE: ${{ steps.fma-images.outputs.launcher }}
+          FMA_REQUESTER_IMAGE: ${{ steps.fma-images.outputs.requester }}
+          FMA_BENCHMARK_RESULTS_FILE: /tmp/fma-benchmark-results.json
         run: make test-benchmark
 
       - name: Upload benchmark results
@@ -314,6 +398,7 @@ jobs:
           path: |
             /tmp/benchmark-results.json
             /tmp/prefill-benchmark-results.json
+            /tmp/fma-benchmark-results.json
             /tmp/benchmark-grafana-snapshot.txt
             /tmp/benchmark-grafana-snapshot.json
             /tmp/benchmark-panels/
@@ -353,6 +438,22 @@ jobs:
               const data = JSON.parse(fs.readFileSync('/tmp/benchmark-results.json', 'utf8'));
 
               const fmtTime = (v) => v < 0 ? 'N/A' : `${v.toFixed(1)}s`;
+              const fmtMs = (v) => v > 0 ? `${v.toFixed(0)}ms` : 'N/A';
+
+              let fmaRows = '';
+              try {
+                const fmaData = JSON.parse(fs.readFileSync('/tmp/fma-benchmark-results.json', 'utf8'));
+                fmaRows = `
+            | **FMA Actuation** | |
+            | Cold starts | ${fmaData.coldStarts} |
+            | Avg cold actuation | ${fmtMs(fmaData.avgColdActuationMs)} |
+            | Warm hits (sleeping woken) | ${fmaData.warmHits} |
+            | Avg warm actuation | ${fmtMs(fmaData.avgWarmActuationMs)} |
+            | Hit rate | ${(fmaData.hitRate * 100).toFixed(1)}% |
+            | Total iterations | ${fmaData.totalIterations} |`;
+              } catch (e) {
+                console.log(`Could not read FMA results: ${e.message}`);
+              }
 
               resultsTable = `| Metric | Value |
             |--------|-------|
@@ -362,7 +463,7 @@ jobs:
             | Avg KV cache usage | ${data.avgKVCacheUsage.toFixed(3)} |
             | Avg queue depth | ${data.avgQueueDepth.toFixed(1)} |
             | Replica oscillation (σ) | ${data.replicaOscillation.toFixed(2)} |
-            | Total duration | ${data.totalDurationSec.toFixed(0)}s |`;
+            | Total duration | ${data.totalDurationSec.toFixed(0)}s |${fmaRows}`;
             } catch (e) {
               console.log(`Could not read results: ${e.message}`);
             }
@@ -1204,7 +1305,6 @@ jobs:
           script: |
             const prHeadSha = '${{ needs.gate.outputs.pr_head_sha }}';
             const platform = '${{ needs.gate.outputs.platform }}';
-            
             let benchResult;
             if (platform === 'openshift') {
               benchResult = '${{ needs.benchmark-openshift.result }}';

Makefile

@@ -282,7 +282,7 @@ test-benchmark: manifests generate fmt vet ## Run benchmark tests (scale-up-late
 	SCALER_BACKEND=$(SCALER_BACKEND) \
 	MODEL_ID=$(MODEL_ID) \
 	go test ./test/benchmark/ -timeout 75m -v -ginkgo.v \
-		-ginkgo.label-filter="phase3a"; \
+		-ginkgo.label-filter="phase3a || fma"; \
 	TEST_EXIT_CODE=$$?; \
 	echo ""; \
 	echo "=========================================="; \
@@ -311,6 +311,41 @@ nightly-deploy-wva-guide: ## Nightly: full WVA+llm-d stack from job env (WVA_NS
 	else \
 		LLM_D_NIGHTLY_PLATFORM=cks bash "$(CURDIR)/deploy/lib/llm_d_nightly_install.sh" "$(CURDIR)"; \
 	fi
+# FMA benchmark targets
+FMA_REPO_PATH ?=
+FMA_IMAGE_REGISTRY ?= ghcr.io/llm-d-incubation/llm-d-fast-model-actuation
+FMA_IMAGE_TAG ?= v0.5.1-alpha.6
+
+.PHONY: deploy-fma
+deploy-fma: ## Deploy FMA controllers (requires FMA_REPO_PATH)
+	@echo "Deploying FMA controllers..."
+	cd $(FMA_REPO_PATH) && \
+	FMA_NAMESPACE=$(E2E_EMULATED_LLMD_NAMESPACE) \
+	FMA_CHART_INSTANCE_NAME=fma \
+	CONTAINER_IMG_REG=$(FMA_IMAGE_REGISTRY) \
+	IMAGE_TAG=$(FMA_IMAGE_TAG) \
+	NODE_VIEW_CLUSTER_ROLE=create/please \
+	bash test/e2e/deploy_fma.sh
+
+.PHONY: test-benchmark-fma
+test-benchmark-fma: manifests generate fmt vet ## Run FMA actuation benchmark (requires FMA controllers deployed)
+	@echo "Running FMA actuation benchmark..."
+	KUBECONFIG=$(KUBECONFIG) \
+	ENVIRONMENT=$(ENVIRONMENT) \
+	WVA_NAMESPACE=$(CONTROLLER_NAMESPACE) \
+	LLMD_NAMESPACE=$(E2E_EMULATED_LLMD_NAMESPACE) \
+	MONITORING_NAMESPACE=$(E2E_MONITORING_NAMESPACE) \
+	USE_SIMULATOR=$(USE_SIMULATOR) \
+	SCALER_BACKEND=$(SCALER_BACKEND) \
+	MODEL_ID=$(MODEL_ID) \
+	go test ./test/benchmark/ -timeout 30m -v -ginkgo.v \
+		-ginkgo.label-filter="benchmark && fma"; \
+	TEST_EXIT_CODE=$$?; \
+	echo ""; \
+	echo "=========================================="; \
+	echo "FMA benchmark execution completed. Exit code: $$TEST_EXIT_CODE"; \
+	echo "=========================================="; \
+	exit $$TEST_EXIT_CODE
 
 .PHONY: lint
 lint: golangci-lint ## Run golangci-lint linter

deploy/install.sh

@@ -86,6 +86,12 @@ DEPLOY_PROMETHEUS_ADAPTER=${DEPLOY_PROMETHEUS_ADAPTER:-true}
 # typically create their own CRs). Set DEPLOY_VA=true and DEPLOY_HPA=true for a demo stack.
 DEPLOY_VA=${DEPLOY_VA:-false}
 DEPLOY_HPA=${DEPLOY_HPA:-false}
+DEPLOY_FMA=${DEPLOY_FMA:-false}
+FMA_REPO_PATH=${FMA_REPO_PATH:-""}
+FMA_NAMESPACE=${FMA_NAMESPACE:-${LLMD_NS:-llm-d-inference-scheduler}}
+FMA_CHART_INSTANCE_NAME=${FMA_CHART_INSTANCE_NAME:-"fma"}
+FMA_IMAGE_REGISTRY=${FMA_IMAGE_REGISTRY:-"ghcr.io/llm-d-incubation/llm-d-fast-model-actuation"}
+FMA_IMAGE_TAG=${FMA_IMAGE_TAG:-"v0.5.1-alpha.6"}
 HPA_STABILIZATION_SECONDS=${HPA_STABILIZATION_SECONDS:-240}
 # HPA minReplicas: 0 enables scale-to-zero (requires HPAScaleToZero feature gate)
 # Default to 1 for safety; set to 0 for scale-to-zero testing
@@ -157,6 +163,8 @@ source "$DEPLOY_LIB_DIR/scaler_runtime.sh"
 source "$DEPLOY_LIB_DIR/infra_llmd.sh"
 # shellcheck source=lib/infra_wva.sh
 source "$DEPLOY_LIB_DIR/infra_wva.sh"
+# shellcheck source=lib/infra_fma.sh
+source "$DEPLOY_LIB_DIR/infra_fma.sh"
 # shellcheck source=lib/infra_monitoring.sh
 source "$DEPLOY_LIB_DIR/infra_monitoring.sh"
 # shellcheck source=lib/cleanup.sh

deploy/lib/cleanup.sh

@@ -119,6 +119,10 @@ cleanup() {
         undeploy_prometheus_adapter
     fi
 
+    if [ "$DEPLOY_FMA" = "true" ]; then
+        undeploy_fma_controllers
+    fi
+
     if [ "$DEPLOY_LLM_D" = "true" ]; then
         undeploy_llm_d_infrastructure
     fi
@@ -149,6 +153,7 @@ cleanup() {
     echo "Removed components:"
     [ "$SCALER_BACKEND" = "keda" ] && echo "✓ KEDA"
     [ "$DEPLOY_PROMETHEUS_ADAPTER" = "true" ] && echo "✓ Prometheus Adapter"
+    [ "$DEPLOY_FMA" = "true" ] && echo "✓ FMA Controllers"
     [ "$DEPLOY_LLM_D" = "true" ] && echo "✓ llm-d Infrastructure"
     [ "$DEPLOY_WVA" = "true" ] && echo "✓ WVA Controller"
     [ "$DEPLOY_PROMETHEUS" = "true" ] && echo "✓ Prometheus Stack"

deploy/lib/infra_fma.sh

@@ -0,0 +1,46 @@
+#!/usr/bin/env bash
+#
+# FMA (Fast Model Actuation) deployment functions.
+# Deploys FMA CRDs and controllers by calling FMA's own deploy_fma.sh script.
+#
+# Requires vars: FMA_REPO_PATH, FMA_NAMESPACE, FMA_CHART_INSTANCE_NAME,
+#                FMA_IMAGE_REGISTRY, FMA_IMAGE_TAG
+
+deploy_fma_controllers() {
+    log_info "Deploying FMA (Fast Model Actuation) controllers..."
+
+    if [ -z "$FMA_REPO_PATH" ]; then
+        log_error "FMA_REPO_PATH must be set when DEPLOY_FMA=true"
+        exit 1
+    fi
+    if [ ! -f "$FMA_REPO_PATH/test/e2e/deploy_fma.sh" ]; then
+        log_error "FMA deploy script not found at $FMA_REPO_PATH/test/e2e/deploy_fma.sh"
+        exit 1
+    fi
+
+    pushd "$FMA_REPO_PATH" > /dev/null
+    FMA_NAMESPACE="$FMA_NAMESPACE" \
+    FMA_CHART_INSTANCE_NAME="$FMA_CHART_INSTANCE_NAME" \
+    CONTAINER_IMG_REG="$FMA_IMAGE_REGISTRY" \
+    IMAGE_TAG="$FMA_IMAGE_TAG" \
+    NODE_VIEW_CLUSTER_ROLE="${FMA_NODE_VIEW_CLUSTER_ROLE:-create/please}" \
+    HELM_EXTRA_ARGS="${FMA_HELM_EXTRA_ARGS:-}" \
+    bash test/e2e/deploy_fma.sh
+    popd > /dev/null
+
+    log_success "FMA controllers deployed successfully"
+}
+
+undeploy_fma_controllers() {
+    log_info "Uninstalling FMA controllers..."
+
+    helm uninstall "$FMA_CHART_INSTANCE_NAME" -n "$FMA_NAMESPACE" 2>/dev/null || \
+        log_warning "FMA not found or already uninstalled"
+
+    # Remove FMA CRDs
+    kubectl delete crd inferenceserverconfigs.fma.llm-d.ai --ignore-not-found 2>/dev/null || true
+    kubectl delete crd launcherconfigs.fma.llm-d.ai --ignore-not-found 2>/dev/null || true
+    kubectl delete crd launcherpopulationpolicies.fma.llm-d.ai --ignore-not-found 2>/dev/null || true
+
+    log_success "FMA controllers uninstalled"
+}

deploy/lib/install_core.sh

@@ -136,6 +136,13 @@ main() {
         log_info "Skipping llm-d deployment (DEPLOY_LLM_D=false)"
     fi
 
+    # Deploy FMA controllers
+    if [ "$DEPLOY_FMA" = "true" ]; then
+        deploy_fma_controllers
+    else
+        log_info "Skipping FMA deployment (DEPLOY_FMA=false)"
+    fi
+
     deploy_scaler_backend
 
     # Verify deployment

go.mod

@@ -3,14 +3,15 @@ module github.com/llm-d/llm-d-workload-variant-autoscaler
 go 1.25.0
 
 require (
+	github.com/llm-d-incubation/llm-d-fast-model-actuation v0.5.1-alpha.6
 	github.com/onsi/ginkgo/v2 v2.28.1
 	github.com/onsi/gomega v1.39.0
 	github.com/prometheus-operator/prometheus-operator/pkg/apis/monitoring v0.89.0
 	github.com/spf13/viper v1.21.0
 	github.com/stretchr/testify v1.11.1
 	gonum.org/v1/gonum v0.17.0
-	k8s.io/apimachinery v0.34.5
-	k8s.io/client-go v0.34.5
+	k8s.io/apimachinery v0.34.6
+	k8s.io/client-go v0.34.6
 	sigs.k8s.io/controller-runtime v0.22.5
 	sigs.k8s.io/gateway-api-inference-extension v1.2.1
 	sigs.k8s.io/lws v0.8.0
@@ -34,7 +35,7 @@ require (
 	go.yaml.in/yaml/v3 v3.0.4 // indirect
 	golang.org/x/mod v0.32.0 // indirect
 	sigs.k8s.io/randfill v1.0.0 // indirect
-	sigs.k8s.io/structured-merge-diff/v6 v6.3.2-0.20260122202528-d9cc6641c482 // indirect
+	sigs.k8s.io/structured-merge-diff/v6 v6.3.2 // indirect
 )
 
 require (
@@ -106,7 +107,7 @@ require (
 	gopkg.in/evanphx/json-patch.v4 v4.13.0 // indirect
 	gopkg.in/inf.v0 v0.9.1 // indirect
 	gopkg.in/yaml.v3 v3.0.1
-	k8s.io/api v0.34.5
+	k8s.io/api v0.34.6
 	k8s.io/apiextensions-apiserver v0.34.3 // indirect
 	k8s.io/apiserver v0.34.3 // indirect
 	k8s.io/component-base v0.34.3 // indirect

go.sum

@@ -99,6 +99,8 @@ github.com/kr/text v0.2.0 h1:5Nx0Ya0ZqY2ygV366QzturHI13Jq95ApcVaJBhpS+AY=
 github.com/kr/text v0.2.0/go.mod h1:eLer722TekiGuMkidMxC/pM04lWEeraHUUmBw8l2grE=
 github.com/kylelemons/godebug v1.1.0 h1:RPNrshWIDI6G2gRW9EHilWtl7Z6Sb1BR0xunSBf0SNc=
 github.com/kylelemons/godebug v1.1.0/go.mod h1:9/0rRGxNHcop5bhtWyNeEfOS8JIWk580+fNqagV/RAw=
+github.com/llm-d-incubation/llm-d-fast-model-actuation v0.5.1-alpha.6 h1:8Ka2/iz3tdWjMHN5QD32eW9Q9qYT6YEgMWwxHgR9oCg=
+github.com/llm-d-incubation/llm-d-fast-model-actuation v0.5.1-alpha.6/go.mod h1:YfZTyPDAJz+j5ZaCVw0WLN+wf8u0md12d3+YlTimdsE=
 github.com/llm-inferno/kalman-filter v0.1.2 h1:ALAs+ubQwyYAPBnkhMPC/QPd/p/Zo2LU+zYaGKCC49g=
 github.com/llm-inferno/kalman-filter v0.1.2/go.mod h1:dMqmiUHAJch+UvgnAROf1j3Wlw0t7Flgy3uXsUwHmVk=
 github.com/mailru/easyjson v0.9.0 h1:PrnmzHw7262yW8sTBwxi1PdJA3Iw/EKBa8psRf7d9a4=
@@ -282,16 +284,16 @@ gopkg.in/inf.v0 v0.9.1/go.mod h1:cWUDdTG/fYaXco+Dcufb5Vnc6Gp2YChqWtbxRZE0mXw=
 gopkg.in/yaml.v3 v3.0.0-20200313102051-9f266ea9e77c/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM=
 gopkg.in/yaml.v3 v3.0.1 h1:fxVm/GzAzEWqLHuvctI91KS9hhNmmWOoWu0XTYJS7CA=
 gopkg.in/yaml.v3 v3.0.1/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM=
-k8s.io/api v0.34.5 h1:+cFkROLIixuQqUZhxizqJKfoT4iwAJneG7NQwqWYyIU=
-k8s.io/api v0.34.5/go.mod h1:0RmYc0hpIHEA5s7AyzcPp6j62Z0tRZ+Y7mFFZeXPBuI=
+k8s.io/api v0.34.6 h1:0ReeOHQfV9SwQ8CMOHkPbM/GscIT3gN2qh463TOEEk4=
+k8s.io/api v0.34.6/go.mod h1:u6eOg5ckbO2DUKiyVp7mUMVIA+qZZdW2oyKDhs8nXec=
 k8s.io/apiextensions-apiserver v0.34.3 h1:p10fGlkDY09eWKOTeUSioxwLukJnm+KuDZdrW71y40g=
 k8s.io/apiextensions-apiserver v0.34.3/go.mod h1:aujxvqGFRdb/cmXYfcRTeppN7S2XV/t7WMEc64zB5A0=
-k8s.io/apimachinery v0.34.5 h1:vXJoeBDaW4D9mayqjP1CrKH8kHyucNRvaLjDJaJOc08=
-k8s.io/apimachinery v0.34.5/go.mod h1:/GwIlEcWuTX9zKIg2mbw0LRFIsXwrfoVxn+ef0X13lw=
+k8s.io/apimachinery v0.34.6 h1:Y/ZNX0Mf1E+CT8clgFzLIkOhkbRLTSHqv6+eJnMJaoQ=
+k8s.io/apimachinery v0.34.6/go.mod h1:/GwIlEcWuTX9zKIg2mbw0LRFIsXwrfoVxn+ef0X13lw=
 k8s.io/apiserver v0.34.3 h1:uGH1qpDvSiYG4HVFqc6A3L4CKiX+aBWDrrsxHYK0Bdo=
 k8s.io/apiserver v0.34.3/go.mod h1:QPnnahMO5C2m3lm6fPW3+JmyQbvHZQ8uudAu/493P2w=
-k8s.io/client-go v0.34.5 h1:eZiO7gq+FfrB8hR7/Z5erA+QEbShtp4DMgJdboEzwhY=
-k8s.io/client-go v0.34.5/go.mod h1:olcW68aK21BJeIWNXrreRNeZJJfyIbxJ98FYNN/WC5Y=
+k8s.io/client-go v0.34.6 h1:8aF4tJiZolSdliT5nhJnBx49Om2ET3Tn3/JKKpJk4gI=
+k8s.io/client-go v0.34.6/go.mod h1:ZntANq4HsaiOD0rIhLHTdZT/aLkv4NVyI/glqocESTQ=
 k8s.io/component-base v0.34.3 h1:zsEgw6ELqK0XncCQomgO9DpUIzlrYuZYA0Cgo+JWpVk=
 k8s.io/component-base v0.34.3/go.mod h1:5iIlD8wPfWE/xSHTRfbjuvUul2WZbI2nOUK65XL0E/c=
 k8s.io/klog/v2 v2.130.1 h1:n9Xl7H1Xvksem4KFG4PYbdQCQxqc/tTUyrgXaOhHSzk=
@@ -312,7 +314,7 @@ sigs.k8s.io/lws v0.8.0 h1:DdhJ8QabwTfWgbgaHH2gdf8twliioHaoSfmDXRYEVU0=
 sigs.k8s.io/lws v0.8.0/go.mod h1:NEZk0ujEAzmDMys8HBh6aRVVK3tOIay/gv2qlU6HJdQ=
 sigs.k8s.io/randfill v1.0.0 h1:JfjMILfT8A6RbawdsK2JXGBR5AQVfd+9TbzrlneTyrU=
 sigs.k8s.io/randfill v1.0.0/go.mod h1:XeLlZ/jmk4i1HRopwe7/aU3H5n1zNUcX6TM94b3QxOY=
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