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# Migration to the in-memory engine
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This release removes the external coordination backend entirely.
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## Removed configuration
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Delete these old top-level/settings from existing configuration files:
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```text
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redis
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scheduler.distributed
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scheduler.lease_ttl
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scheduler.poll_interval
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workers[].request_lease_ttl
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usage.redis_aggregates
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cluster
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```
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Replace the old local/cluster visualization settings with:
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```json
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"infrastructure": {
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"node_name": "mac-studio-gateway",
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"refresh_interval": "250ms",
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"max_requests": 256
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}
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```
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The configuration parser uses `DisallowUnknownFields`, so obsolete settings fail fast instead of being silently ignored.
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## Runtime behavior
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The following state now exists only inside one gateway process:
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- weighted fair queue state;
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- running concurrency;
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- per-worker slots;
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- actor and tenant quota buckets;
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- runtime policy overrides;
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- browser sessions;
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- usage summaries;
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- live/infrastructure telemetry.
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Active scheduling state still resets on restart. Durable control-plane state (UI-created API-key hashes, policy overrides, quota balances, metrics snapshots and usage history) is now stored locally under `storage.data_dir`; the inference scheduler itself remains in memory.
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## Multiple Ollama workers
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No change is required. One gateway may still route to many Ollama workers and maintains one fair queue across all of them.
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## Multiple gateway processes
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Do not place multiple independent gateway processes behind a generic load balancer if you require strict global fairness. Each process is now a separate fairness/quota/session domain.
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For the intended deployment, use one authoritative gateway and scale the Ollama worker pool behind it.
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## API change
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The former cluster visualization endpoints are now local infrastructure endpoints:
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```text
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GET /gateway/ui-api/infrastructure
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GET /gateway/ui-api/infrastructure/stream
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```
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The web UI has been updated accordingly.
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