Arkheia · Technical
Technical Playground
Runtime mechanics, agent discipline, and continuous characterisation. This page assumes Arkheia is already deployed. The focus is what actually happens at runtime — and how that behaviour is sustained over time.
§ 01 · The Runtime Control Loop
The zone is a control signal. Review is software. Hold is a boundary. Trust is enforced before downstream effects propagate.
Output proceeds. Run logged. Optional sampling. The fast path — the majority of well-behaved invocations clear here without delay.
Agent executes remediation policy. Retrieval, verification, constraint-based repair. Retry under modified conditions. Review is handled by software loops.
Execution blocked. Tool calls prevented. Escalation invoked. Full audit event recorded. Hold decisions cannot be overridden downstream.
§ 02 · The Integration Contract
- Model identifier (provider + version)
- Output tokens (stream or final)
- Prompt reference (hash preferred)
- Execution metadata (timestamps, latency)
- Retrieval references
- Tool invocation trace
- Stable workflow run ID
- Corpus reference
- zone — safe | review | hold
- run_id — traceable to surface + corpus
- evidence_ref — pointer to audit envelope
- recommended_action — policy-resolved next step
The zone is intentionally coarse. Granularity lives in evidence and policy, not in UI semantics.
§ 03 · Agent Policy Propagation
Every agent and sub-agent loads the same integrity semantics at startup. When an orchestrator spawns sub-agents: the run_id is inherited. Integrity rules are inherited. Escalation semantics are inherited. Hold decisions cannot be overridden.
Deployments enforce behaviour via agentname.md, integrity.md, escalation.md, and shared routing bundles. Policy is distributed at startup — not negotiated at runtime.
This prevents policy drift across parallel execution branches. Each branch enforces the same semantics regardless of spawning order.
- Retrieval against pinned corpora
- Deterministic tool verification
- Constraint-based rewriting
- Cross-check strategies
- Structured output enforcement
False positives are cheap because remediation is automated.
§ 04 · The Model Lab
Arkheia is backed by a continuous Model Lab. Not static evaluation — an ongoing characterisation process. 30+ model surfaces maintained.
- Behavioural fingerprint
- Stability characteristics
- Variation experiments
- Corpus references
- Validation date
- Model version
Each surface is traceable.
- Temperature shifts
- Context length changes
- Retrieval noise
- Prompt perturbations
- Tool-invocation scenarios
- Distribution shifts
Objective: behavioural stability and separation, not semantic correctness.
- Signal separation shifts
- Stability degradation
- Distribution divergence
- Unexpected behavioural clustering
When drift exceeds tolerance: alerts, calibration gates, rollout paused. Drift is monitored, not discovered post-incident.
§ 05 · Calibration Events
- 1Run against pinned corpora
- 2Compare surface characteristics
- 3Measure separation deltas
- 4Validate zone stability
- 5Approve or reject rollout
This prevents silent regression in production integrity. Calibration events are logged.
§ 06 · Evidence & Traceability
- run_id
- Model identifier
- Surface version
- Corpus reference
- Policy version
- Zone decision
- Remediation actions
- Timestamps
- run_id
- zone
- evidence_ref
- downstream action
- escalation state (if any)
- SIEM ingestion
- Compliance review
- Forensic reconstruction
- Behavioural analysis
- Version comparison
Detection internals remain private. Operational evidence remains exportable.
§ 07 · Lifecycle Rollout Strategy
Observe without enforcement. Zone signals are computed and logged but not acted on. Baseline established, policy calibrated.
Review handled by agent loops. HOLD zones surface to operators for confirmation. Hard blocking not yet active.
Hold enforced for impact-sensitive workflows. Tool calls blocked on HOLD zone. Escalation paths active.
Surface validation required before model update rollout. No model version change proceeds without a calibration event.
Trust becomes executable. Not retrospective.
§ 08 · What This Page Is Not
This page does not describe: algorithm internals, feature engineering, detection thresholds, adversarial mechanics. Those remain private.
What is exposed here is operational behaviour and lifecycle discipline.
Arkheia is not a semantic patch. It is a behavioural control system backed by continuous model characterisation.