MeshInfer.AIMeshInfer.AI
SubZero Diagnostic

Full system verification report.

Live diagnostic of all SubZero entities, components, routing rules, privacy constraints, UT compliance, and governance constraints.

Running diagnostics…
Querying entities and validating configuration
1

Entity status (live check)

SubzeroAgent
identity, capabilities, governance tier, UT compliance flags
MeshTelemetry
latency, routing, dispatch weight, reputation, Vital flow, timeout patterns
MeshPolicy
privacy rules, fairness constraints, routing limits, economic parameters
SubzeroLearningState
historical telemetry, learned patterns, optimization memory
MeshOptimizationPlan
recommended actions, load balancing, node tuning, fallback strategy
2

Component status (static verification)

SubzeroDashboard
agent status, UT compliance, telemetry feed, learning cycle
SubzeroOptimizer
generate & approve optimization plans (mesh_ok dispatch)
SubzeroPolicyEngine
manage privacy/fairness/routing/economic policies (local_only eval)
SubzeroNodeAdvisor
per-node health, tuning, dispatch weight (mesh_ok)
SubzeroLearningEngine
adaptive learning loop, pattern memory (local_only state)
SubzeroArchitecture
full architecture diagram, UT map, governance constraints
3

Dual execution paths & helper functions

infer()mesh_ok (default)
Fast path — meshInference directly, routing handled internally
dispatchInfer()mesh_ok (dispatch chain)
dispatchTask → pollNodeTask → reportTaskResult chain
analyzeTelemetry()mesh_ok
Identifies patterns, anomalies, optimization opportunities in telemetry batches
generateOptimizationPlan()mesh_ok + dispatch chain
Produces explainable recommended actions, load balancing, fallback strategy
updateLearningState()local_only
Consolidates patterns into learning memory — never leaves device
evaluatePolicy()local_only
Checks policy compliance against context — governance check on-device
4

Routing logic validation

local_only

Governance metadata, learning state, policy evaluation, optimization memory

enforced
mesh_ok

Telemetry analysis, optimization planning, pattern detection, node advisory

enforced
cloud_ok

Fallback only — heaviest workloads when mesh unavailable

enforced
5

Privacy constraint validation

SubZero cannot override privacy tiers

Privacy tiers are structural in meshInference — SubZero passes privacy_policy per call, never overrides

SubZero cannot leak governance metadata to mesh

updateLearningState() and evaluatePolicy() hardcode local_only — governance data never dispatched

Learning state stays on-device

SubzeroLearningState.privacy_tier defaults to local_only, enforced by hook

Policy evaluation is local-only

evaluatePolicy() calls infer() with privacy_policy: local_only

4/4 privacy constraints validated
6

Unifying Theory compliance map (11/11)

1
local_presence

SubZero maintains local learning state on-device

2
internal_consistency

All optimization plans reference the same telemetry corpus

3
compliance_inheritance

Policies inherit DOSFI privacy tier constraints

4
transport_verification

Dispatch chain uses verified node transport (pollNodeTask → reportTaskResult)

5
auto_unification

Learning loop unifies telemetry → patterns → plans → actions

6
privacy_by_design

local_only for governance, mesh_ok for analysis — structural, not a checkbox

7
distributed_intelligence

Pattern detection runs across mesh nodes via dispatch chain

8
sovereign_identity

Agent identity is mesh-native, governed by DOSFI tiers

9
open_surface_closed_core

Optimization engine is closed-core; surface APIs are open

10
economic_flow

Vital flow tracked in MeshTelemetry; economic parameters in MeshPolicy

11
observability_fabric

All cycles logged with route, latency, and reasoning fields

11/11 UT components active and mapped
7

Governance constraint validation

Privacy tier enforcement

local_only operations never trigger mesh dispatch

Policy-gated optimization

Plans must pass evaluatePolicy() before execution

Explainable reasoning

Every MeshOptimizationPlan includes a reasoning field

UT compliance (11/11)

All 11 Unifying Theory components mapped and active

Economic guardrails

cost_ceiling_usd and savings_target_pct enforced per policy

Fairness constraints

max_dispatch_weight and min_node_reputation prevent bias

6/6 governance constraints validated
8

Learning loop readiness

1Telemetry ingestionmesh_ok
2Pattern detection (analyzeTelemetry)mesh_ok
3State consolidation (updateLearningState)local_only
4Optimization planning (generateOptimizationPlan)mesh_ok
5Policy evaluation (evaluatePolicy)local_only
6Node advisory (per-node infer)mesh_ok
6/6 learning loop steps ready
9

Page & route provisioning

/subzero route
Registered in App.jsx → SubZero page with 6-tab interface
Tab: Dashboard
Agent status, UT compliance, telemetry feed
Tab: Optimizer
Generate & approve optimization plans
Tab: Policy Engine
Manage governance policies
Tab: Node Advisor
Per-node tuning recommendations
Tab: Learning Engine
Adaptive learning loop
Tab: Architecture
Full architecture diagram
Diagnostic summary
✅ 5/5 entities live and queryable
✅ 6/6 components implemented and imported
✅ 6/6 hook functions (2 execution paths + 4 helpers)
✅ 3/3 routing tiers enforced (local_only, mesh_ok, cloud_ok fallback)
✅ 4/4 privacy constraints validated
✅ 11/11 UT compliance components active
✅ 6/6 governance constraints validated
✅ 6/6 learning loop steps ready
✅ /subzero page provisioned with 6-tab interface