Replace decorative overload policy with real serving pipeline and dedicated Serving page

The old overload policy had dead controls (maxQueueDepth, rateLimitPerCustomer never read)
and trivial flat penalties. This replaces it with a full serving pipeline where deployed
models form a fleet, requests route through priority/degradation logic, and policy choices
create meaningful strategic tradeoffs.

New serving pipeline: fleet building from deployed models (size/quant/MoE multipliers),
demand categorization by 5 priority tiers, enterprise capacity reservation, priority-ordered
serving with overflow behaviors (queue/reject/degrade), auto-degradation to faster models
under load, and Batch API to fill idle capacity at discounted rates.

4 new research nodes gate features progressively: Intelligent Request Routing, Priority
Queue System, Request Batching, and Auto-Scaling. New dedicated Serving page with pipeline
metrics, model fleet utilization, and research-gated policy controls.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

packages/game-engine/src/data/techTree.ts

@@ -433,6 +433,48 @@ export const TECH_TREE: ResearchNode[] = [
     effects: [{ type: 'unlock_product_line', target: 'agents-platform', value: 1 }],
   },
 
+  // === SERVING INFRASTRUCTURE ===
+  {
+    id: 'request-routing',
+    name: 'Intelligent Request Routing',
+    description: 'Route requests to optimal model size/variant. Unlocks routing strategy and per-tier rate limits.',
+    era: 'scaleup',
+    category: 'efficiency',
+    prerequisites: ['inference-optimization'],
+    cost: { researchPoints: 2, compute: 25, ticks: 150 },
+    effects: [{ type: 'unlock_feature', target: 'request-routing', value: 1 }],
+  },
+  {
+    id: 'priority-queues',
+    name: 'Priority Queue System',
+    description: 'SLA-aware scheduling with granular priority controls. Unlocks priority ordering and overflow policies.',
+    era: 'scaleup',
+    category: 'efficiency',
+    prerequisites: ['request-routing'],
+    cost: { researchPoints: 3, compute: 30, ticks: 180 },
+    effects: [{ type: 'unlock_feature', target: 'priority-queues', value: 1 }],
+  },
+  {
+    id: 'request-batching',
+    name: 'Request Batching',
+    description: 'Group inference requests for higher throughput. Unlocks Batch API product line at 50% discount.',
+    era: 'scaleup',
+    category: 'efficiency',
+    prerequisites: ['inference-optimization'],
+    cost: { researchPoints: 2, compute: 20, ticks: 120 },
+    effects: [{ type: 'unlock_feature', target: 'request-batching', value: 1 }],
+  },
+  {
+    id: 'auto-scaling',
+    name: 'Auto-Scaling Infrastructure',
+    description: 'Dynamically reallocate compute during demand spikes. +20% effective capacity headroom.',
+    era: 'bigtech',
+    category: 'efficiency',
+    prerequisites: ['request-routing'],
+    cost: { researchPoints: 4, compute: 60, ticks: 300 },
+    effects: [{ type: 'efficiency_boost', target: 'auto_scaling', value: 0.2 }],
+  },
+
   // === DATA ===
   {
     id: 'data-pipeline',