MCP Titan

import * as tf from '@tensorflow/tfjs-node'; import { MemoryRouter } from '../../src/hope_model/memory_router.js'; import { ContinuumMemory } from '../../src/hope_model/continuum_memory.js'; describe('MemoryRouter', () => { const memory = new ContinuumMemory({ memoryDim: 4, shortTermSlots: 2, longTermSlots: 2, archiveSlots: 2, promotionThreshold: 0.1, surpriseRetention: 0.9 }); it('produces weights that sum to <= 1', () => { const router = new MemoryRouter({ hiddenDim: 4, numExperts: 3 }); const state = memory.initialize(); const hidden = tf.tensor2d([[0.2, 0.1, 0.3, 0.4]]); const decision = router.route(hidden, state as any); const sum = tf.sum(decision.weights).arraySync() as number; expect(sum).toBeGreaterThan(0); expect(sum).toBeLessThanOrEqual(1.0001); }); it('selects at most topK experts', () => { const router = new MemoryRouter({ hiddenDim: 4, numExperts: 5, topK: 2 }); const state = memory.initialize(); const hidden = tf.tensor2d([[0.5, 0.2, 0.1, 0.3]]); const decision = router.route(hidden, state as any); expect(decision.selectedExperts.length).toBeLessThanOrEqual(2); }); });