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parseSaturationConfig() called Validate() without first calling ApplyDefaults(), causing V2 configs with analyzerName: saturation to fail validation because scaleUpThreshold/scaleDownBoundary default to zero (omitempty) and Validate() rejects zero values. This caused the engine to skip all models with "Saturation scaling config not loaded yet for namespace", resulting in no scaling decisions.
When the model server does not emit the vllm:cache_config_info metric (e.g., llm-d-inference-sim), TotalKvCapacityTokens is 0 and the V2 analyzer skipped the replica entirely, resulting in totalDemand=0 and no scale-up decisions. Add computeReplicaCapacityFallback that uses the deployment-derived capacity from the capacity store and estimates demand from KvCacheUsage percentage. This allows V2 to produce scaling decisions with any vLLM-compatible server, not just those emitting cache_config_info.
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/ok-to-test |
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🚀 Kind E2E (full V1+V2) triggered by |
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🚀 OpenShift E2E — approve and run ( |
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This PR is marked as stale after 21d of inactivity. After an additional 14d of inactivity (7d to become rotten, then 7d more), it will be closed. To prevent this PR from being closed, add a comment or remove the |
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