@heady-ai/orchestrator
v4.0.0
Published
Service orchestration engine with Monte Carlo scheduling, liquid architecture, and multi-pool resource allocation for the Heady AI Platform.
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@heady-ai/orchestrator
Service orchestration engine with Monte Carlo scheduling for the Heady™ AI Platform.
Install
npm install @heady-ai/orchestratorQuick Start
import { createOrchestrator } from '@heady-ai/orchestrator';
const orch = createOrchestrator();
const result = await orch.schedule({
id: 'task-1',
action: 'inference',
priority: 'high',
requiredMemoryMB: 4096,
estimatedDurationMs: 2000
});
console.log(result);
// { taskId: 'task-1', assignedPool: 'cloudrun-prod', confidence: 87, ... }Resource Pools
| Pool | Latency | Memory |
|------|---------|--------|
| local-ryzen | 5ms | 32 GB |
| edge-cf | 20ms | 128 MB |
| cloudrun-prod | 80ms | 4 GB |
| colab-brain | 200ms | 50 GB |
Features
- Monte Carlo task scheduling — 10,000 simulations per decision
- 7 resource pools spanning edge → cloud → GPU
- Priority-weighted allocation (critical/high/medium/low)
- Cost + latency + memory multi-objective optimization
License
Proprietary — © 2026 Heady™Systems Inc.
