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feat(ql3): establish 3.0 incubation baseline
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# Optional Cluster AI component
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This component replaces only the Cluster Control image with the explicit
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`runtime-ai` target. The default Cluster deployment and image remain AI-free.
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Before applying it:
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1. Replace the example Project, provider URL, model and policy revision in
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`provider-authority-configmap.yaml`; keep `authority.json` canonical,
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one-line JSON with one trailing newline.
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2. Bind the same Project/provider to a canonical SecretRef through the
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append-only model-provider credential catalog.
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3. Project each provider authorization value under the lowercase SHA-256 of
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its canonical SecretRef. Use `provider-secrets.example.yaml` only as a
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shape reference and provision the real Secret through a Secret manager.
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4. Build and publish the Docker `runtime-ai` target, then pin its independent
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digest in a private overlay based on `private-overlay.example.yaml`.
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The component mounts ConfigMap and Secret volumes read-only with mode `0440`,
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does not mount a ServiceAccount token, and grants no Kubernetes API access.
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It remains live-output-only by default. Compose the separate
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`../cluster-ai-prompt-output` component only when encrypted durable Prompt
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output and its externally provisioned keyring are required.
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Each replica adds a separate, bounded PostgreSQL runtime pool of four
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connections by default; tune `QL3_CLUSTER_AI_DATABASE_MAX_CONNECTIONS` and
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`QL3_CLUSTER_AI_MAX_CONCURRENT` together for the cluster's resource budget.
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