Nightly - Optimized Baseline E2E (GKE GPU SGLang) #18
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| name: Nightly - Optimized Baseline E2E (GKE GPU SGLang) | |
| on: | |
| workflow_dispatch: | |
| inputs: | |
| decode_pods: | |
| description: 'Number of decode (sglang "standalone") pods (default "auto", means what was configured on the scenario)' | |
| required: false | |
| type: 'string' | |
| default: 'auto' | |
| prefill_pods: | |
| description: 'Number of prefill pods (default "auto", means what was configured on the scenario)' | |
| required: false | |
| type: 'string' | |
| default: 'auto' | |
| gateway_class: | |
| description: 'Class of gateway used ("istio", "agentgateway", "epponly" (i.e., "standalone"), "none")' | |
| required: false | |
| default: 'epponly' | |
| monitoring_enabled: | |
| description: 'Enabled monitoring ("true", "false")' | |
| required: true | |
| type: 'string' | |
| default: 'false' | |
| dry_run: | |
| description: 'Execute workflow in "dry-run" mode ("true", "false")' | |
| required: false | |
| default: 'false' | |
| verbose: | |
| description: 'Execute workflow in "verbose" mode ("true", "false")' | |
| required: false | |
| default: 'false' | |
| type: 'string' | |
| harness: | |
| description: 'Harness to be used during "run" operation ("inference-perf", "guidellm", "inferencemax", "vllm-benchmark", "nop")' | |
| required: false | |
| default: 'inference-perf' | |
| type: 'string' | |
| workload: | |
| description: 'Workload profile to be used during "run" operation (check list under "workload/profiles")' | |
| required: false | |
| default: 'sanity_random.yaml' | |
| type: 'string' | |
| cleanup: | |
| description: 'Cleanup the llm-d stack stood up by this workflow' | |
| required: false | |
| default: 'true' | |
| type: string | |
| update_badge: | |
| description: 'Update the badge on gh-pages ("true", "false")' | |
| required: false | |
| default: 'true' | |
| type: string | |
| schedule: | |
| - cron: '0 14 * * *' # 14:00 UTC daily (staggered from vLLM and TensorRT-LLM nightlies) | |
| permissions: | |
| contents: write | |
| actions: read | |
| concurrency: | |
| group: nightly-e2e-optimized-baseline-gke-gpu-sglang | |
| cancel-in-progress: true | |
| jobs: | |
| nightly: | |
| uses: llm-d/llm-d-infra/.github/workflows/reusable-ci-nightly-benchmark.yaml@main | |
| with: | |
| scenario_dir: ${{ inputs.scenario_dir || 'guides' }} | |
| standup_method: ${{ inputs.standup_method || 'kustomize' }} | |
| standup_scenario: ${{ inputs.standup_scenario || 'optimized-baseline' }} | |
| decode_pods: ${{ inputs.decode_pods || 'auto' }} | |
| prefill_pods: ${{ inputs.prefill_pods || 'auto' }} | |
| accelerator_type: ${{ inputs.accelerator_type || 'gpu' }} | |
| backend_type: ${{ inputs.backend_type || 'sglang' }} | |
| infra_provider: ${{ inputs.infra_provider || 'gke' }} | |
| connector: ${{ inputs.connector || '' }} | |
| cluster_namespace: ${{ inputs.cluster_namespace || 'llm-d-nightly-optimized-baseline-gke-gpu-sglang' }} | |
| helm_release: ${{ inputs.helm_release || 'llmdbenchcicdr-gke-sglang' }} | |
| workspace_dir: ${{ inputs.workspace_dir || '/tmp/llmdbenchcicdk-gke-sglang' }} | |
| bucket_project: ${{ inputs.bucket_project || 'llm-d-scale' }} | |
| bucket_provider: ${{ inputs.bucket_provider || 'gcs' }} | |
| bucket_path: ${{ inputs.bucket_path || 'llm-d-benchmarks/regressions/optimized-baseline' }} | |
| gateway_class: ${{ inputs.gateway_class || 'epponly' }} | |
| monitoring_enabled: ${{ inputs.monitoring_enabled || 'false' }} | |
| dry_run: ${{ inputs.dry_run || 'false' }} | |
| verbose: ${{ inputs.verbose || 'false' }} | |
| harness: ${{ inputs.harness || 'inference-perf' }} | |
| workload: ${{ inputs.workload || 'sanity_random.yaml' }} | |
| cleanup: ${{ inputs.cleanup || 'true' }} | |
| secrets: inherit | |
| update-badge: | |
| needs: [nightly] | |
| if: always() && inputs.update_badge != 'false' | |
| uses: llm-d/llm-d-infra/.github/workflows/reusable-update-badge.yaml@main | |
| with: | |
| badge_name: optimized-baseline-gke-sglang | |
| badge_label: "SGLANG GPU" | |
| result: ${{ needs.nightly.result }} | |
| dry_run: ${{ inputs.dry_run || 'false' }} | |
| failure_category: ${{ needs.nightly.outputs.failure_category }} |