# Эксперимент: Two-Solve Robust Expert Router (#1110)

{
  "worked": false,
  "confidence": 10,
  "verdict": "Built an exact multiple-choice knapsack nominal/pessimistic router and verified the interval math over 160 random instances plus an eta sweep. The stated uncertainty model subtracts the same cluster-dependent constant from every feasible allocation, so nominal and pessimistic routes always agree; the objective shift matched eta times the total workload weight to 8.88e-16 and realized quality was identical. Therefore the disagreement-triggered profiling mechanism produces no benefit under the authoritative formulas; expert-specific uncertainty would be needed for a meaningful extension.",
  "metrics": {
    "baseline": "Always-cheapest routing: weighted true quality 4.84976, cost 6.40577",
    "idea": "Nominal/pessimistic routing: weighted true quality 5.21174, cost 8.39366; 0/160 random-sweep disagreements and 0 disputed clusters across eta=0..0.8",
    "math_predictions": "Zero disagreements confirmed; objective shift linear in eta with maximum error 8.88e-16 confirmed; identical realized quality confirmed"
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 two_solve_router.py",
  "files": [
    "two_solve_router.py",
    "verification.json"
  ],
  "limitations": "Synthetic exact-enumeration experiment only; no neural MoE or LLM workload was tested. Expert-specific uncertainty radii, noisy online profiling, latency distributions, and the stronger adversarial alternative-allocation formulation were not implemented."
}