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H33-HIVE · Technical Architecture

The architecture behind intelligent AI execution.

This page is for engineers and technical evaluators. It describes how H33-HIVE routes, reuses, schedules and recovers AI work, how it composes with H33’s authority components, and exactly which parts are research, which are integration-tested, and which are not yet built.

Status Research prototype. Every figure on this page comes from simulated providers or offline measurements on one machine, and the authorization interface is a placeholder. Nothing here is a production guarantee.

Execution pipeline

The proposed order of operations for one unit of work:

1 receive the workload and its scoped execution context 2 verify admission and applicable authority 3 check eligible Cachee reuse 4 select the execution resource and the model 5 execute under bounded resource and retry policies 6 verify the result 7 enforce authorization before any consequential action 8 preserve available cryptographic evidence and replay references

Steps 6 and 7 are deliberately separate. An independently verified result is not the same as an independently authorized action: a verifier can establish that an answer is correct within its limits, and only the authority layer can establish that acting on it is permitted.

Rust routing architecture

The current router is a Rust research library. Its executor enforces a small set of rules whatever the routing policy asks for:

RuleBehaviour
Capability scoringPer model and task category, the router keeps measured success rates, verifier acceptance, false accepts and mean compute cost. Below a minimum sample count it uses the strongest model rather than trusting a thin estimate.
EscalationA stronger model is tried only when an independent verifier rejects the cheaper answer. A model reviewing itself does not count, and an answer carries no self-reported confidence.
Budget controlA budget gate runs before every attempt, covering attempts, cost and deadline. An unknown spend under a cost ceiling refuses the attempt rather than guessing.
Retry decisionsA possibly-executed attempt is re-sent only with an idempotency key, to the same provider, and only if that provider itself declares server-side idempotency. A caller’s key alone guarantees nothing.
Recovery statesEvery task settles as delivered, failed, denied or Unknown. A task that cannot resolve an ambiguous attempt settles Unknown, never Failed, so nothing downstream mistakes “we don’t know” for “it didn’t happen”.

Routing quality has been measured offline against recorded model outputs, not on live serving traffic. Those measurements are what showed that smaller model tiers did not reduce cost per correct answer on the task families tested — so the router’s job is to prove a cheaper path is good enough, not to assume it.

Cachee integration

HIVE consumes Cachee; it does not build a cache of its own. Cachee remains the sole computational-reuse layer, and the research router talks to it through an adapter that models Cachee’s governed reuse decision. A reusable result is bound to:

Lookup fails closed, and every refusal has a named reason and its own test: integrity failure, input, tenant, authority, generation, verifier or policy mismatch, stale or revoked authority, revoked verifier, unverified or failed verification, staleness, and a producer that cannot be independently verified. A tampered read is refused, never served. A hit can never turn unverified content into verified evidence, and a reused result never inherits the authority of the session that produced it — it passes the same authorization check as a fresh call.

Reuse is not free. Admission requires independent verification, and at low repeat rates that verification costs more than reuse saves. The integrity check in the research build is a test stand-in, not cryptography; the canonical check plugs in behind the same interface.

CPU/GPU scheduling

The hardware-adaptive scheduler is planned. Its intended design:

None of this scheduler behaviour has been benchmarked end to end. Until it is, it is described here as design intent only.

Authority integration

HIVE is designed to sit inside the boundary that Agent-008 enforces. Its intended interfaces, and their honest status today:

InterfaceIntended roleStatus
Agent-008Admits work and authorizes consequential actionsPlaceholder in the research build
H33-RootHuman authority lineage at admission and delegationNot yet integrated
H33-StamptionCommits governance transitionsNot yet integrated
H33-API-GChecks each consequential action at the API boundaryNot yet integrated
H33-KeyKeeps keys in custody; the model never holds signing capabilityNot yet integrated
H33-74 and ReplayPortable evidence and reconstructionNot yet integrated

In the research build, every attempt — fresh call, escalation, failover, idempotent re-send and reuse hit — passes through one authorization hook, and tests confirm a denial stops the task with no bypass. But the only implementation of that hook allows everything. It is a test seam, not a security control, and this page will not describe it as one. Three levels are kept distinct as integration proceeds: interfaces that compile, interfaces tested with synthetic authority, and enforcement independently verified in production.

Fault handling

Failures are handled per provider and per execution scope, so one tenant’s failures do not change another tenant’s routing:

The trade-offs are real, and they are published rather than hidden. Because the windowed breaker needs a window of traffic to see an outage, it keeps sending to a dead provider longer than a simple failure-count breaker, and at low traffic it may never trip at all. Recovery is slower, because each scope closes on its own; a two-second burst can leave a scope recovering for well over ten seconds; and when outages flap faster than the cooldown, it rarely recovers within an up-window. These are simulation results with synthetic, instant failures, not measurements of production reliability.

Performance methodology

A HIVE performance claim is publishable only with its full context:

Independently reproducible benchmarks will be linked here once they qualify. Until then this page publishes no blanket latency, throughput, savings or security guarantee.

Limitations and readiness

CapabilityReadiness
Capability-based routing and escalationResearch; measured offline on recorded outputs
Verified-reuse refusal rulesResearch; unit- and concurrency-tested against a stand-in, not production Cachee
Idempotency-aware retry and Unknown outcomesResearch; fault-injection tested with simulated providers
Windowed circuit breakerResearch; qualified on synthetic outage traces only
CPU/GPU schedulerPlanned
Agent-008 and authority-component enforcementPlaceholder; not an operational control
Production deploymentNone

A passing component test does not imply a production-qualified composition. When a row changes, it changes here first, with the evidence that moved it.

Back to H33-HIVE. Developer material: H33-HIVE documentation. Related: Agent-008 · Cachee · H33-API-G · H33-74.

One cryptographic foundation H33-HIVE executes on the shared H33 cryptographic foundation — fully homomorphic encryption, zero-knowledge proofs and post-quantum keys behind a common API. ArchitectureCommon APIThe product family