Jira progress: loading…

TG_SCHEDULER_ORCHESTRATOR

TrustGate Scheduler / Orchestrator Engine

0. Identity

Loading identity…

Depends on module:

Decision-grade verification and assurance domain that orchestrates verifier workflows, evidence handling, trust scoring, audit trails, and assurance packaging across CSRD/ESRS and other frameworks. Enables third-party sign-off, dispute handling, and assurance-ready disclosure outputs with replayable provenance.

Domain:

assurance-verification

Category:

trust-assurance

Classification:

module

Lifecycle status:

active

Semver:

1.0.0

Introduced in:

v0.3

Governance

AI risk level:

high

Trust threshold:

0.97

Human review required:

true

Verifier involved:

true

Audit required:

true

Ownership

Primary owner:

Platform

Architecture board:

true

White-label allowed:

true

Entrypoints

Docs:

/verification-assurance

UI:

/app/assurance

API:

/api/assurance

Dependencies

Modules

sis
input-hub
reports-insights-hub
zara
zaam

Unresolved tokens

ALTD
DAL
EvidenceVault
StripeConnect
TruliooKYB
TrustGate
VTE
VerifierWorkflowEngine

Engines (declared)

VerifierWorkflowEngine
DaVE
VTE
DICE
EvidenceVault
ALTD
DAL
TrustGate
StripeConnect
TruliooKYB
AISIM

Micro-engines (from registry)

None

Micro-engines (declared)

None

Signals

USO

ASSURANCE.VERIFICATION
ASSURANCE.EVIDENCE
ASSURANCE.SIGNOFF
AUDIT.LINEAGE
GOVERNANCE.TRUST
IDENTITY.VERIFIER
PAYMENT.ESCROW

CSI

CSI_VERIFICATION_ASSURANCE

SSSR tags

assurance
verification
verifiers
evidence
signoff
trust-score
audit
tamper-detection
blockchain
rfp
disputes
escrow
stripe-connect

Workflows & Outputs

Workflows

VerifierOnboardingAndQualification
AssuranceRFPAndProposalFlow
EvidenceRequestAndCollection
EvidenceValidationAndScoring
TrustScoreComputationAndPropagation
VerifierReviewAndCommenting
IssueFlaggingAndDisputeResolution
VerifierSignOffAndStamping
AssurancePackagingForReports
PaymentEscrowAndPayoutOrchestration

Outputs

verifier_profiles
assurance_requests
evidence_packages
validation_findings
trust_score_updates
signoff_stamps
assurance_ready_disclosure_packages
payment_events

Audit

Ledger:

ALTD

Replay supported:

true

PII policy:

controlled_pii_outside_omr

1. Purpose

The TrustGate Scheduler / Orchestrator Engine is the runtime coordination engine for TrustGate.

It schedules, triggers, prioritizes, retries, supervises, and records TrustGate background jobs and asynchronous workflows.

It ensures operational tasks happen at the correct time, in the correct order, with the correct configuration snapshot, deterministic retry behavior, auditability, and observability.

The engine handles scheduled and asynchronous activities such as replay jobs, replay sampling, DAL anchor batching, DAL retries, federation synchronization, quarantine SLA checks, evidence request reminders, AI feedback publication, AII telemetry publication, audit integrity checks, runtime health checks, policy refresh, configuration cache invalidation, stale configuration detection, feature flag rollouts, safe-mode enforcement, dead-letter inspection, backfills, and periodic assurance reports.

The Scheduler / Orchestrator Engine is the operational nervous system of TrustGate.

It does not compute trust scores, validate signals, or make assurance decisions. It controls when and how background workflows execute.

2. Architectural Role

TrustGate has synchronous processing engines and asynchronous operational workflows.

Synchronous engines handle the direct signal processing path. The Scheduler / Orchestrator Engine handles controlled runtime coordination outside or adjacent to the signal path.

Runtime Configuration Engine
        │
        ▼
Scheduler / Orchestrator Engine
        │
        ├── Replay Jobs
        ├── DAL Batch Jobs
        ├── Federation Sync Jobs
        ├── Quarantine SLA Jobs
        ├── AI Feedback Jobs
        ├── AII Telemetry Jobs
        ├── Audit Integrity Jobs
        ├── Configuration Refresh Jobs
        ├── Observability Jobs
        └── Maintenance Jobs

The engine coordinates the background assurance economy of TrustGate.

3. Canonical Identity

Property	Value
MEID	`MEID_TRUST_ROUTE_SCHEDULER`
CMI	`vera.TG-SCHED.ENGINE.ORCHESTRATOR.1_0_0`
KIND	`ENGINE`
Owner Module	Verification & Assurance
Runtime Tier	Tier-0 Runtime Operations
Engine Category	`JOB`
Engine Domain	`trust`
ZAR Registration	Required
Replay Support	Native for workflow state
DAL Anchoring	Policy-based
Federation Aware	Yes
Critical Path	Indirect, through async runtime workflows

4. Design Principles

Principle	Requirement
Deterministic Scheduling	Same schedule definition and configuration snapshot must resolve to the same planned job set.
Idempotent Execution	Re-running the same job must not produce duplicate semantic side effects.
Configuration Binding	Every job must bind to a configuration snapshot from the Runtime Configuration Engine.
Auditability	Material jobs and workflow state transitions must be audit logged.
Observability	Every job must emit metrics, traces, status, and failure reasons.
Policy Governance	Jobs must respect FAGF, OARM, DAL, AFLE, EGFS, tenant, and security policies.
Fail-Safe Behavior	Failed jobs must retry, quarantine, dead-letter, or escalate according to policy.

5. Runtime Responsibilities

Responsibility	Description
Job Scheduling	Schedule one-off, periodic, event-driven, and policy-triggered jobs.
Workflow Orchestration	Coordinate multi-step workflows involving several TrustGate engines.
Retry Management	Apply deterministic retry, backoff, timeout, and dead-letter behavior.
Priority Management	Prioritize assurance-critical jobs over routine maintenance.
Replay Scheduling	Schedule replay jobs based on triggers, sampling, auditor requests, and policy.
DAL Batch Orchestration	Coordinate Merkle batch windows, anchor submission, and retry.
Federation Synchronization	Schedule EGFS / AFLE sync, export, import, and verification jobs.
Quarantine SLA Management	Track quarantine aging, review deadlines, reminders, and escalation.
Configuration Refresh	Schedule policy refresh, cache invalidation, and drift detection jobs.
AI Feedback Delivery	Coordinate DSAIL feedback publication and retry.
AII Telemetry Delivery	Schedule and publish aggregate runtime telemetry to AII.
Audit and Integrity Jobs	Schedule audit chain verification and evidence-chain checks.
Maintenance Jobs	Backfills, cleanup, compaction, retention, and stale state checks.
Workflow State Management	Persist workflow state transitions for replay and audit.
Alerting and Escalation	Emit alerts when jobs breach SLA or enter dead-letter state.

6. Scheduling Modes

Mode	Description
`cron`	Time-based recurring jobs.
`interval`	Jobs repeated every configured duration.
`event_triggered`	Jobs triggered by runtime events.
`policy_triggered`	Jobs triggered by policy conditions.
`manual`	Authorized operator or reviewer request.
`backfill`	Historical reprocessing over a defined window.
`batch_window`	Windowed aggregation jobs such as DAL Merkle batches.
`adaptive`	Schedule adjusted by runtime telemetry or policy.
`safe_mode`	Emergency schedule activated by incident policy.

Adaptive scheduling may use DSAIL recommendations, but the final schedule must remain policy-controlled.

7. Job Classes

Job Class	Purpose
`REPLAY_JOB`	Prepare or execute replay workflows.
`DAL_ANCHOR_JOB`	Submit, verify, or retry DAL anchors.
`FEDERATION_SYNC_JOB`	Exchange or verify federation artifacts.
`QUARANTINE_SLA_JOB`	Check quarantine age, reminders, and escalation.
`AI_FEEDBACK_JOB`	Publish AI feedback to DSAIL.
`AII_TELEMETRY_JOB`	Publish AII telemetry.
`AUDIT_INTEGRITY_JOB`	Verify audit chain, evidence chain, and log integrity.
`CONFIG_REFRESH_JOB`	Refresh or invalidate configuration.
`POLICY_REFRESH_JOB`	Load and verify policy bundles.
`OBSERVABILITY_JOB`	Aggregate metrics, SLOs, dashboard feeds, and alerts.
`MAINTENANCE_JOB`	Cleanup, compaction, retention, and backfill.
`SAFE_MODE_JOB`	Incident-driven runtime protective jobs.

8. Workflow Types

Workflow	Description
Replay Verification Workflow	Prepare replay, execute replay, compare hash, record result, audit, emit telemetry.
DAL Batch Workflow	Collect candidates, build Merkle tree, submit root, verify ledger ref, publish proof.
Federation Export Workflow	Resolve config, package attestation, redact, sign, export, verify delivery.
Federation Import Workflow	Receive package, verify identity, verify signature, verify DAL, accept/reject.
Quarantine Review Workflow	Open quarantine, request evidence, remind reviewer, escalate, release/reject.
AI Feedback Workflow	Collect outcomes, apply policy, redact, publish to DSAIL, retry if needed.
AII Publication Workflow	Aggregate metrics, validate payload, publish, record status.
Configuration Rollout Workflow	Validate config, canary, observe, expand, rollback if needed.
Audit Integrity Workflow	Verify chain, detect conflicts, anchor critical proof, report status.

9. Runtime Architecture

Triggers
  │
  ├── Cron
  ├── Event Bus
  ├── Queue
  ├── Manual Request
  ├── Policy Condition
  └── Observability Alert
          │
          ▼
Scheduler / Orchestrator Engine
          │
          ├── Job Resolver
          ├── Configuration Binder
          ├── Dependency Resolver
          ├── Priority Queue
          ├── Workflow State Machine
          ├── Retry Manager
          ├── Dead-Letter Manager
          ├── Worker Dispatcher
          ├── SLA Monitor
          └── Audit / Telemetry Publisher

The engine may run on top of AWS Step Functions, EventBridge, SQS, Kubernetes Jobs, Airflow, or an internal ZAYAZ workflow runtime.

10. Runtime Processing Pipeline

Receive Trigger
      │
      ▼
Resolve Job Definition
      │
      ▼
Resolve Runtime Configuration
      │
      ▼
Validate Job Preconditions
      │
      ▼
Acquire Lock / Idempotency Key
      │
      ▼
Create Job Run
      │
      ▼
Dispatch Worker / Workflow
      │
      ▼
Track State
      │
      ▼
Handle Success / Retry / Failure
      │
      ▼
Emit Audit and Observability Events
      │
      ▼
Update AII / DSAIL / VIZZ as Required

Every job run must have a unique job run ID and an idempotency key.

11. Processing Algorithm

function schedule_or_execute(trigger):

    job_definition = resolve_job_definition(trigger)

    config = resolve_runtime_config(
        job_definition,
        trigger.scope
    )

    validate_job_preconditions(job_definition, config, trigger)

    idempotency_key = compute_idempotency_key(trigger, job_definition, config)

    if job_already_completed(idempotency_key):
        return existing_result(idempotency_key)

    lock = acquire_execution_lock(idempotency_key)

    if not lock.acquired:
        return duplicate_or_in_progress(idempotency_key)

    job_run = create_job_run(
        trigger,
        job_definition,
        config,
        idempotency_key
    )

    try:
        result = dispatch(job_run)
        mark_completed(job_run, result)
        emit_completed_events(job_run, result)
        return result

    except RetryableError as error:
        schedule_retry(job_run, error)
        emit_retry_event(job_run, error)

    except NonRetryableError as error:
        mark_failed(job_run, error)
        route_to_dead_letter_if_required(job_run, error)
        emit_failure_event(job_run, error)

    finally:
        release_lock(lock)

The engine must fail safely and avoid duplicate semantic execution.

12. Job Definition Model

A job definition describes what can be scheduled or executed.

Field	Description
`job_definition_id`	Stable job definition ID.
`job_code`	Human-readable job code.
`job_class`	Canonical job class.
`canonical_name`	Human-readable name.
`description`	Job purpose.
`trigger_type`	Cron, event, manual, policy, batch window.
`schedule_expression`	Cron or interval definition where applicable.
`target_engine_meid`	Target engine or workflow owner.
`target_engine_cmi`	Optional target CMI.
`workflow_steps`	Ordered workflow steps.
`priority`	Job priority.
`retry_policy`	Retry strategy.
`timeout_policy`	Timeout constraints.
`sla_policy`	SLA constraints.
`config_profile`	Required scheduler profile.
`idempotency_policy`	Idempotency method.
`dal_anchor_required`	Whether job events require anchoring.
`audit_required`	Whether job must be audit logged.
`status`	Draft, active, suspended, retired.

13. Job Run Model

A job run is a concrete execution instance.

Field	Description
`job_run_id`	Unique execution ID.
`job_definition_id`	Job definition reference.
`trigger_id`	Trigger source reference.
`workflow_run_id`	Optional workflow run reference.
`idempotency_key`	Duplicate protection key.
`config_snapshot_id`	Bound runtime configuration snapshot.
`config_digest`	Hash of configuration snapshot.
`status`	Pending, running, completed, failed, retrying, dead-lettered.
`attempt`	Execution attempt number.
`priority`	Effective priority.
`started_at`	Start timestamp.
`ended_at`	End timestamp.
`next_retry_at`	Next retry timestamp.
`error_code`	Failure code if any.
`result_ref`	Result artifact reference.

14. Workflow State Model

Workflow state transitions are explicit.

CREATED
  │
  ▼
SCHEDULED
  │
  ▼
DISPATCHED
  │
  ▼
RUNNING
  │
  ├── COMPLETED
  ├── RETRY_WAIT
  ├── FAILED
  ├── DEAD_LETTERED
  ├── CANCELLED
  └── ESCALATED

State transitions must be persisted, observable, and audit-ready.

15. Canonical Job Definition Example

{
  "job_definition_id": "TGJOBDEF-REPLAY-SAMPLING-001",
  "job_code": "TG-REPLAY-SAMPLING-DAILY",
  "job_class": "REPLAY_JOB",
  "canonical_name": "Daily TrustGate Replay Sampling",
  "trigger_type": "cron",
  "schedule_expression": "0 2 * * *",
  "target_engine_meid": "MEID_TRUST_REPLAY_COORDINATOR",
  "workflow_steps": [
    "select_replay_population",
    "create_replay_manifests",
    "dispatch_replay_execution",
    "record_replay_results",
    "publish_replay_telemetry"
  ],
  "priority": "high",
  "retry_policy": "standard_exponential_backoff_v1",
  "sla_policy": "replay_sampling_daily_v1",
  "audit_required": true,
  "dal_anchor_required": false,
  "status": "active"
}

16. Canonical Job Run Example

{
  "job_run_id": "TGJOBRUN-2026-00001472",
  "job_definition_id": "TGJOBDEF-REPLAY-SAMPLING-001",
  "job_class": "REPLAY_JOB",
  "trigger_id": "TGTRIG-2026-00001472",
  "idempotency_key": "sha256:8b1c91...",
  "config_snapshot_id": "TGCFGSNAP-2026-00001472",
  "config_digest": "sha256:4d6f8a...",
  "status": "RUNNING",
  "attempt": 1,
  "priority": "high",
  "started_at": "2026-06-26T02:00:00Z"
}

17. Trigger Model

A trigger starts a job or workflow.

Trigger Type	Example
`cron`	Daily replay sampling.
`event`	New quarantine record created.
`queue`	DAL anchor candidate queued.
`manual`	Auditor requests replay.
`policy`	Replay required because confidence below threshold.
`alert`	Observability detects replay drift spike.
`configuration`	New policy bundle activated.
`safe_mode`	Incident policy activates emergency workflow.

Triggers must include source identity and policy context.

18. Trigger Payload Example

{
  "trigger_id": "TGTRIG-2026-00001472",
  "trigger_type": "event",
  "event_type": "trustgate.quarantine.created",
  "source_engine_meid": "MEID_TRUST_QUARANTINE_MANAGER",
  "source_engine_cmi": "vera.TG-QUARANTINE.ENGINE.MANAGER.1_0_0",
  "signal_id": "SIG-2026-00001472",
  "eco_number": "ECO-A123",
  "policy_context": {
    "policy_bundle": "FAGF-2026.2",
    "scheduler_profile": "production_scheduler_v1"
  },
  "created_at": "2026-06-25T18:00:00Z"
}

19. Priority Model

Job priority determines execution order.

Priority	Use Case
`critical`	Security incident, safe mode, replay drift, audit conflict.
`high`	Replay, DAL verification, federation conflict, quarantine SLA.
`normal`	Routine federation sync, AII telemetry, standard AI feedback.
`low`	Maintenance, compaction, archive, non-critical backfill.
`background`	Long-running analytics or reporting jobs.

Priority must not bypass safety, tenant isolation, or configuration rules.

20. Retry Model

Retry behavior is policy-controlled.

Retry Strategy	Description
`none`	No retry.
`fixed_delay`	Retry after fixed delay.
`exponential_backoff`	Delay increases after each failure.
`exponential_backoff_jitter`	Backoff with random jitter to prevent thundering herd.
`dead_letter_after_n`	Dead-letter after maximum attempts.
`manual_review_after_n`	Escalate after repeated failures.
`safe_mode_on_failure`	Activate safe mode after critical repeated failure.

Retries must preserve idempotency keys.

21. Retry Policy Example

{
  "retry_policy_id": "standard_exponential_backoff_v1",
  "strategy": "exponential_backoff_jitter",
  "max_attempts": 5,
  "initial_delay_seconds": 30,
  "max_delay_seconds": 1800,
  "jitter": true,
  "dead_letter_after_max_attempts": true,
  "escalate_on_final_failure": true
}

22. Timeout and SLA Model

The Scheduler / Orchestrator Engine enforces timeouts and SLAs.

Policy	Description
Execution Timeout	Maximum time a job may run.
Queue Timeout	Maximum time a job may remain pending.
SLA Deadline	Business or assurance deadline.
Retry Window	Maximum window for retry attempts.
Escalation Deadline	Time after which human escalation is required.
Evidence Deadline	Deadline for quarantine evidence submission.

SLA breaches must emit observability and audit events.

23. SLA Breach Event

{
  "event_type": "trustgate.scheduler.sla_breach",
  "sla_breach_id": "TGSLA-2026-00001472",
  "job_run_id": "TGJOBRUN-2026-00001472",
  "job_class": "QUARANTINE_SLA_JOB",
  "eco_number": "ECO-A123",
  "sla_policy": "quarantine_review_48h_v1",
  "deadline": "2026-06-27T12:22:44Z",
  "breached_at": "2026-06-27T12:30:00Z",
  "severity": "warning",
  "requires_escalation": true
}

24. Idempotency Model

Idempotency prevents duplicate semantic side effects.

The idempotency key should be calculated as:

IdempotencyKey = SHA256(JobDefinitionId || TriggerId || Scope || ConfigDigest || ExecutionWindow)

For event-driven jobs, the source event ID should be included.

For batch jobs, the batch window should be included.

For manual jobs, the authorized request ID should be included.

25. Locking Model

The engine uses distributed locking for critical workflows.

Lock Type	Purpose
Job Lock	Prevent duplicate job execution.
Workflow Lock	Prevent concurrent workflow mutation.
Signal Lock	Prevent conflicting operations on a signal.
Quarantine Lock	Prevent conflicting release/reject transitions.
DAL Batch Lock	Prevent duplicate Merkle root submission.
Federation Lock	Prevent duplicate export/import processing.
Config Rollout Lock	Prevent concurrent production rollout conflict.

Locks must have expiry and recovery behavior.

26. Dead-Letter Model

Jobs that cannot safely complete are moved to a dead-letter state.

Dead-letter causes include:

maximum retries exceeded;
invalid configuration;
missing dependency;
non-retryable validation failure;
repeated DAL submission failure;
signature verification failure;
impossible federation target;
audit write failure;
unsafe state transition;
operator cancellation.

Dead-letter events require observability and may require audit logging.

27. Dead-Letter Event

{
  "event_type": "trustgate.scheduler.dead_lettered",
  "dead_letter_id": "TGDLQ-2026-00001472",
  "job_run_id": "TGJOBRUN-2026-00001472",
  "job_class": "DAL_ANCHOR_JOB",
  "reason": "maximum_retries_exceeded",
  "last_error_code": "DAL_SUBMISSION_TIMEOUT",
  "attempts": 5,
  "requires_manual_review": true,
  "created_at": "2026-06-25T19:00:00Z"
}

28. Replay Scheduling

Replay scheduling is one of the most important scheduler responsibilities.

Replay jobs may be triggered by:

Trigger	Example
Policy Requirement	Critical event requires replay.
Sampling	Daily random assurance sample.
Auditor Request	External auditor requests replay.
Drift Detection	Observability detects replay drift spike.
Quarantine	Quarantine requires replay before release.
Federation	Inbound package requires replay reference verification.
AI Calibration	DSAIL detects model drift.
Safe Mode	Incident policy forces full replay sampling.

Replay jobs must bind to configuration snapshots.

29. Replay Job Example

{
  "job_run_id": "TGJOBRUN-REPLAY-2026-00001472",
  "job_class": "REPLAY_JOB",
  "replay_scope": {
    "type": "signal",
    "signal_id": "SIG-2026-00001472",
    "replay_type": "FULL_PIPELINE_REPLAY"
  },
  "target_engine_meid": "MEID_TRUST_REPLAY_COORDINATOR",
  "config_snapshot_id": "TGCFGSNAP-2026-00001472",
  "priority": "high",
  "status": "SCHEDULED"
}

30. DAL Batch Orchestration

The engine coordinates DAL batch windows.

DAL batch orchestration includes:

collecting anchor candidates;
selecting direct vs Merkle mode;
opening batch window;
closing batch window;
dispatching batch build;
dispatching DAL submission;
verifying ledger reference;
retrying failed submissions;
publishing inclusion proof availability.

DAL batch windows must be deterministic.

31. DAL Batch Job Example

{
  "job_run_id": "TGJOBRUN-DALBATCH-2026-00001472",
  "job_class": "DAL_ANCHOR_JOB",
  "batch_id": "DALB-2026-06-25-1800",
  "batch_window": {
    "from": "2026-06-25T18:00:00Z",
    "to": "2026-06-25T19:00:00Z"
  },
  "anchor_mode": "MERKLE_BATCH_ANCHOR",
  "candidate_count": 158342,
  "status": "RUNNING"
}

32. Federation Synchronization

Federation jobs coordinate AFLE and EGFS workflows.

Federation scheduled tasks include endpoint health checks, DID verification cache refresh, outbound package delivery, inbound package verification, federation conflict retry, Carbon Passport trust reference sync, cross-ECO replay reference sync, federation profile refresh, and federation safe-mode enforcement.

Federation jobs must respect redaction profiles and target permissions.

33. Federation Sync Job Example

{
  "job_run_id": "TGJOBRUN-FEDSYNC-2026-00001472",
  "job_class": "FEDERATION_SYNC_JOB",
  "source_eco": "ECO-A123",
  "target_eco": "ECO-B456",
  "federation_profile": "buyer_standard_assurance_v1",
  "sync_type": "trust_attestation_export",
  "redaction_profile": "standard_federation",
  "status": "SCHEDULED"
}

34. Quarantine SLA Orchestration

The engine schedules quarantine lifecycle jobs.

Quarantine orchestration includes:

evidence request reminders;
reviewer assignment reminders;
SLA breach checks;
automatic escalation;
replay scheduling before release;
expired quarantine detection;
unresolved critical quarantine reporting.

Quarantine jobs must not release or reject records directly unless policy explicitly allows automation. Final release/reject remains controlled by the Quarantine Manager and reviewer workflow.

35. Quarantine SLA Job Example

{
  "job_run_id": "TGJOBRUN-QSLA-2026-00001472",
  "job_class": "QUARANTINE_SLA_JOB",
  "quarantine_id": "TGQ-2026-00001472",
  "eco_number": "ECO-A123",
  "sla_policy": "quarantine_review_48h_v1",
  "action": "check_and_escalate_if_overdue",
  "status": "SCHEDULED",
  "scheduled_for": "2026-06-27T12:22:44Z"
}

36. AI Feedback Orchestration

AI feedback jobs publish governed feedback to DSAIL.

AI feedback orchestration includes batching feedback events, applying redaction, verifying training eligibility, publishing to DSAIL, retrying failed publication, suppressing disallowed feedback, reporting feedback lag, and triggering model governance workflows where needed.

AI feedback jobs must not alter historical TrustGate facts.

37. AII Telemetry Orchestration

AII jobs aggregate and publish assurance telemetry.

AII publication includes validation telemetry, trust score telemetry, replay telemetry, DAL telemetry, federation telemetry, quarantine telemetry, audit telemetry, configuration telemetry, observability telemetry, and scheduler telemetry.

AII jobs must preserve period boundaries and avoid duplicate publication.

38. Configuration Refresh Orchestration

The Scheduler / Orchestrator Engine coordinates configuration refresh.

Configuration jobs include policy bundle refresh, runtime configuration cache invalidation, feature flag rollout, canary expansion, drift detection, rollback execution, safe mode activation, and expired override cleanup.

Configuration jobs must use the Runtime Configuration Engine as the authority.

39. Safe Mode Orchestration

Safe mode is an emergency runtime state.

Safe mode orchestration may trigger:

federation export suspension;
replay sampling increase;
decision threshold tightening;
DAL anchoring expansion;
audit logging expansion;
experimental engine rollback;
quarantine SLA tightening;
manual review requirement increase;
notification to platform operators.

Safe mode jobs are critical priority and audit-required.

40. Safe Mode Job Example

{
  "job_run_id": "TGJOBRUN-SAFE-2026-00001472",
  "job_class": "SAFE_MODE_JOB",
  "reason": "replay_drift_spike",
  "actions": [
    "increase_replay_sampling",
    "disable_federation_export",
    "require_manual_review_for_medium_confidence"
  ],
  "priority": "critical",
  "audit_required": true,
  "status": "RUNNING"
}

41. CSI Contracts

41.1. Input CSIs

CSI	Required	Purpose
`comp.TG.INPUT.SCHEDULER-TRIGGER.v1_0`	Yes	Trigger for job creation.
`comp.TG.INPUT.JOB-DEFINITION.v1_0`	Conditional	Job definition.
`comp.TG.INPUT.WORKFLOW-DEFINITION.v1_0`	Conditional	Workflow definition.
`comp.TG.OUTPUT.RESOLVED-CONFIG.v1_0`	Yes	Runtime configuration from Configuration Engine.
`comp.TG.INPUT.RUNTIME-EVENT.v1_0`	Conditional	Runtime event trigger.
`comp.TG.INPUT.QUEUE-METRIC.v1_0`	Conditional	Queue depth or backlog input.
`comp.TG.INPUT.OBSERVABILITY-ALERT.v1_0`	Conditional	Alert-triggered job.
`comp.FAGF.INPUT.SCHEDULER-POLICY.v1_0`	Yes	Scheduler policy and constraints.

41.2. Output CSIs

CSI	Purpose
`comp.TG.OUTPUT.SCHEDULED-JOB.v1_0`	Scheduled job record.
`comp.TG.OUTPUT.JOB-RUN.v1_0`	Job execution record.
`comp.TG.OUTPUT.WORKFLOW-RUN.v1_0`	Workflow execution record.
`comp.TG.EVENT.JOB-STARTED.v1_0`	Job started event.
`comp.TG.EVENT.JOB-COMPLETED.v1_0`	Job completed event.
`comp.TG.EVENT.JOB-FAILED.v1_0`	Job failure event.
`comp.TG.EVENT.JOB-RETRIED.v1_0`	Job retry event.
`comp.TG.EVENT.JOB-DEAD-LETTERED.v1_0`	Dead-letter event.
`comp.DAL.INPUT.ANCHOR-CANDIDATE.v1_0`	DAL anchor candidate.
`comp.AII.INPUT.SCHEDULER-TELEMETRY.v1_0`	AII scheduler telemetry.
`comp.DSAIL.INPUT.SCHEDULER-FEEDBACK.v1_0`	DSAIL feedback.

42. API Specification

42.1. Schedule Job

POST /api/trustgate/MEID_TRUST_ROUTE_SCHEDULER/schedule

Request:

{
  "job_definition_id": "TGJOBDEF-REPLAY-SAMPLING-001",
  "scope": {
    "environment": "production",
    "region": "eu-north-1",
    "tenant_id": "TEN-2026-0001",
    "eco_number": "ECO-A123"
  },
  "trigger": {
    "trigger_type": "manual",
    "requested_by": "auditor@example.com",
    "reason": "External assurance replay sample."
  }
}

Response:

{
  "status": "scheduled",
  "job_run_id": "TGJOBRUN-2026-00001472",
  "config_snapshot_id": "TGCFGSNAP-2026-00001472",
  "scheduled_for": "2026-06-25T18:30:00Z"
}

43. API: Cancel Job

POST /api/trustgate/MEID_TRUST_ROUTE_SCHEDULER/cancel

Request:

{
  "job_run_id": "TGJOBRUN-2026-00001472",
  "reason": "Superseded by safe-mode replay job.",
  "requested_by": "platform.operator@viroway.com"
}

Response:

{
  "status": "cancelled",
  "job_run_id": "TGJOBRUN-2026-00001472",
  "audit_required": true
}

44. API: Workflow Status

GET /api/trustgate/MEID_TRUST_ROUTE_SCHEDULER/workflows/{workflow_run_id}

Response:

{
  "workflow_run_id": "TGWF-2026-00001472",
  "status": "RUNNING",
  "current_step": "dispatch_replay_execution",
  "completed_steps": [
    "select_replay_population",
    "create_replay_manifests"
  ],
  "remaining_steps": [
    "record_replay_results",
    "publish_replay_telemetry"
  ]
}

45. Job Started Event

{
  "event_type": "trustgate.scheduler.job_started",
  "job_run_id": "TGJOBRUN-2026-00001472",
  "job_class": "REPLAY_JOB",
  "job_definition_id": "TGJOBDEF-REPLAY-SAMPLING-001",
  "engine_cmi": "vera.TG-SCHED.ENGINE.ORCHESTRATOR.1_0_0",
  "config_snapshot_id": "TGCFGSNAP-2026-00001472",
  "started_at": "2026-06-26T02:00:00Z"
}

46. Job Completed Event

{
  "event_type": "trustgate.scheduler.job_completed",
  "job_run_id": "TGJOBRUN-2026-00001472",
  "job_class": "REPLAY_JOB",
  "result": {
    "replay_manifests_created": 1240,
    "replay_jobs_dispatched": 1240
  },
  "duration_ms": 8412,
  "completed_at": "2026-06-26T02:00:08Z"
}

47. Job Failed Event

{
  "event_type": "trustgate.scheduler.job_failed",
  "job_run_id": "TGJOBRUN-2026-00001472",
  "job_class": "FEDERATION_SYNC_JOB",
  "error_code": "FEDERATION_TARGET_UNAVAILABLE",
  "retryable": true,
  "attempt": 2,
  "next_retry_at": "2026-06-25T18:45:00Z",
  "failed_at": "2026-06-25T18:30:00Z"
}

48. DAL Integration

Scheduler events may require DAL anchoring.

DAL anchoring is required for:

safe mode activation;
critical job failure;
audit integrity workflow failure;
replay drift workflow escalation;
federation conflict escalation;
material configuration rollout workflow;
regulator-requested workflow evidence;
workflow state transition used as assurance evidence.

Example anchor candidate:

{
  "artifact_type": "TrustSchedulerWorkflowEvent",
  "artifact_id": "TGWF-2026-00001472",
  "artifact_hash": "sha256:aa42bd...",
  "engine_cmi": "vera.TG-SCHED.ENGINE.ORCHESTRATOR.1_0_0",
  "meid": "MEID_TRUST_ROUTE_SCHEDULER",
  "event_type": "safe_mode_activation",
  "created_at": "2026-06-25T18:30:00Z"
}

Final anchoring is performed by the TrustGate DAL Anchor Engine.

49. Audit Log Integration

The engine sends audit events for:

material workflow start;
material workflow completion;
critical workflow failure;
dead-letter event;
safe mode job;
configuration rollout job;
manual job scheduling;
job cancellation;
retry exhaustion;
scheduler policy changes;
privilege-sensitive workflow execution.

Routine non-critical jobs may be logged as operational telemetry only.

50. Observability Integration

The Scheduler / Orchestrator Engine emits metrics to the Runtime Observability Engine.

Key metrics:

Metric	Description
`tg_scheduler_job_created_total`	Jobs created.
`tg_scheduler_job_started_total`	Jobs started.
`tg_scheduler_job_completed_total`	Jobs completed.
`tg_scheduler_job_failed_total`	Jobs failed.
`tg_scheduler_job_retry_total`	Retry attempts.
`tg_scheduler_job_deadletter_total`	Dead-lettered jobs.
`tg_scheduler_queue_depth`	Scheduler queue depth.
`tg_scheduler_workflow_latency_ms`	Workflow latency.
`tg_scheduler_sla_breach_total`	SLA breaches.
`tg_scheduler_safe_mode_job_total`	Safe mode jobs.

51. AII Integration

Scheduler telemetry contributes to AII operational resilience.

Example:

{
  "eco_number": "ECO-A123",
  "period": "2026-Q2",
  "jobs_scheduled": 18440,
  "jobs_completed": 18412,
  "job_success_rate": 0.9985,
  "retry_rate": 0.014,
  "dead_letter_rate": 0.0002,
  "sla_breach_rate": 0.0008,
  "avg_workflow_latency_ms": 842,
  "replay_backlog": 12,
  "dal_batch_success_rate": 0.9996
}

52. DSAIL Integration

DSAIL may consume scheduler telemetry to recommend operational improvements.

DSAIL may recommend:

replay sampling adjustment;
job priority changes;
queue scaling;
retry policy tuning;
federation synchronization frequency changes;
DAL batch size optimization;
quarantine SLA focus;
capacity planning;
anomaly investigation.

DSAIL may not:

execute jobs autonomously;
cancel jobs;
approve material workflow changes;
bypass scheduler policy;
alter retry behavior without governance approval;
override safe mode policy.

53. Replay Behaviour

Scheduler workflows must be replayable where they affect assurance.

Replay inputs include:

trigger event;
job definition;
workflow definition;
runtime configuration snapshot;
scheduler policy;
queue state where material;
workflow state transitions;
engine CMI;
retry policy;
time window.

Replay verification succeeds when:

Hash(JobRun_{original}) = Hash(JobRun_{replay})

For workflow replay:

Hash(WorkflowStateSequence_{original}) = Hash(WorkflowStateSequence_{replay})

Live scheduling conditions must not be used in audit replay unless marked as simulation.

54. Federation Behaviour

Scheduler controls several federation workflows.

Federation scheduling must:

respect federation profile;
avoid duplicate export;
verify target ECO permission;
apply redaction before export;
wait for DAL reference where required;
verify DID cache freshness;
retry failed delivery safely;
dead-letter unverifiable packages;
emit federation telemetry.

Cross-ECO job metadata must be redacted before sharing.

55. Security Requirements

The engine must:

authenticate all scheduling requests;
authorize manual job creation and cancellation;
enforce tenant isolation;
validate job definitions against ZAR;
bind every job to runtime configuration;
prevent unauthorized safe mode activation;
protect worker dispatch credentials;
prevent duplicate semantic execution;
redact sensitive job metadata;
audit privileged workflow actions;
verify target engine compatibility;
support signed job definitions where required;
prevent cross-tenant queue leakage.

56. Worker Dispatch Security

Workers must receive only the configuration and payload required to execute the job.

Worker dispatch payloads must include:

job run ID;
idempotency key;
configuration snapshot ID;
configuration digest;
target engine MEID;
target engine CMI;
scoped input references;
authorization context;
trace context;
timeout and retry constraints.

Workers should not receive broad tenant configuration unless required.

57. Retention Model

Data Type	Default Retention
Job definitions	Versioned indefinitely while referenced.
Job runs	Reporting period + assurance retention.
Workflow state	Reporting period + replay retention.
Critical workflow events	Audit retention period.
Dead-letter records	Until resolved + retention policy.
Queue metrics	90 days hot, aggregated long-term.
Safe mode records	Governance retention period.
Replay scheduling records	Replay retention period.

Retention is governed by FAGF and tenant policy.

58. Failure Handling

Failure	Severity	Action
Missing job definition	Critical	Reject trigger.
Invalid configuration snapshot	Critical	Do not execute.
Lock acquisition failure	Info/Warning	Mark duplicate or retry.
Worker unavailable	Warning	Retry or reroute.
Queue unavailable	Critical	Escalate and buffer if possible.
Max retries exceeded	Critical if assurance job	Dead-letter and escalate.
DAL unavailable	Warning	Queue DAL-dependent jobs.
Federation unavailable	Warning	Queue federation jobs.
Audit unavailable	Critical for material jobs	Fail closed if required.
Observability unavailable	Warning	Continue but local log.
Safe mode activation failure	Critical	Escalate immediately.
Configuration drift	Critical	Pause affected jobs or safe mode.

59. Performance Targets

Metric	Target
Job scheduling latency	< 50 ms
Cached config binding latency	< 10 ms
Worker dispatch latency	< 100 ms
Workflow state transition latency	< 25 ms
Retry scheduling latency	< 50 ms
Queue throughput	100,000 jobs/min per scheduler cluster
Critical job dispatch latency	< 5 seconds
Emergency safe mode dispatch	< 5 seconds
Availability	99.99%
Idempotency correctness	100%

60. Deployment Model

Recommended deployment:

Event Sources
  │
  ├── EventBridge
  ├── SQS
  ├── Cron
  ├── Manual API
  ├── Observability Alerts
  └── Policy Triggers
          │
          ▼
Scheduler / Orchestrator Engine
          │
          ├── Job Definition Store
          ├── Workflow State Store
          ├── Priority Queue
          ├── Retry Queue
          ├── Dead-Letter Queue
          ├── Worker Dispatch Layer
          ├── Audit Publisher
          ├── Observability Publisher
          └── DAL Candidate Publisher

The implementation may use AWS EventBridge, SQS, Step Functions, Lambda, ECS, Kubernetes Jobs, Airflow, or a ZAYAZ-native workflow runtime.

61. Storage Architecture

Store	Purpose
Job Definition Store	Versioned job definitions.
Workflow State Store	State transitions and workflow history.
Queue Store	Pending and delayed jobs.
Retry Store	Retry state and next retry timestamp.
Dead-Letter Store	Failed unrecoverable jobs.
Lock Store	Distributed execution locks.
Snapshot Store	Bound configuration snapshots.
Audit Event Store	Material scheduler audit events.
Metrics Store	Scheduler observability metrics.

62. Testing Requirements

The engine requires:

Test Type	Requirement
Schedule Tests	Verify cron, interval, event, manual, and policy triggers.
Idempotency Tests	Verify duplicate triggers do not duplicate side effects.
Retry Tests	Verify backoff, jitter, and dead-letter behavior.
Lock Tests	Verify distributed lock safety.
Workflow Tests	Verify state transitions and recovery.
Config Binding Tests	Verify all jobs bind correct configuration snapshots.
Replay Tests	Verify deterministic workflow replay.
SLA Tests	Verify SLA breach detection and escalation.
Failure Tests	Verify worker, queue, DAL, federation, and audit outage behavior.
Security Tests	Verify scheduling authorization and tenant isolation.
Load Tests	Verify high-volume job orchestration.
Safe Mode Tests	Verify emergency workflows activate correctly.

63. Compliance Alignment

Framework	Scheduler / Orchestrator Contribution
CSRD	Ensures periodic assurance workflows, replay, and evidence tasks execute reliably.
ESRS	Supports data quality controls, audit evidence, and governance workflow execution.
ISSB / IFRS S1-S2	Supports repeatable controls for decision-useful sustainability information.
ISO 14064-1	Supports scheduled GHG verification, replay, and evidence management workflows.
ISO 27001	Supports operational control, logging, incident response, and access governance.
EU AI Act	Ensures AI feedback and model-related workflows remain governed and traceable.
SOC2	Supports processing integrity, availability, and operational control evidence.

64. Developer Implementation Notes

Developers should implement the Scheduler / Orchestrator Engine as a policy-bound workflow control service.

Recommended components:

trigger ingestor;
job definition resolver;
runtime configuration binder;
idempotency key generator;
distributed lock manager;
priority queue manager;
worker dispatcher;
workflow state machine;
retry manager;
dead-letter manager;
SLA monitor;
safe mode controller;
audit publisher;
observability publisher;
DAL anchor candidate publisher;
AII telemetry publisher;
DSAIL feedback publisher;
federation job adapter;
replay job adapter;
DAL batch job adapter.

The engine must treat job definitions as versioned runtime artifacts.

65. Implementation Anti-Patterns

Avoid:

Anti-Pattern	Risk
Unversioned cron jobs	Cannot replay or audit scheduling behavior.
Jobs without configuration snapshots	Non-deterministic execution.
Fire-and-forget background jobs	Loss of assurance evidence.
No idempotency keys	Duplicate DAL anchors, federation exports, or replay jobs.
Shared global queues without tenant isolation	Cross-tenant leakage.
Manual retries outside scheduler	Broken audit trail.
Workflow state only in logs	Not replayable or queryable.
AI-controlled scheduling without policy	Governance violation.
Disabling audit for material jobs	Assurance failure.
No dead-letter process	Silent operational risk accumulation.

66. Summary

The TrustGate Scheduler / Orchestrator Engine coordinates TrustGate’s asynchronous and scheduled runtime operations.

It ensures replay, DAL batching, federation synchronization, quarantine SLA checks, AI feedback, AII telemetry, configuration refresh, audit integrity, observability, and maintenance workflows execute reliably, deterministically, and with full governance traceability.

It is the operational runtime layer that turns TrustGate from a set of engines into a resilient, production-grade assurance system.

No Tier-0 TrustGate deployment should be considered complete without this engine or an equivalent FAGF-authorized orchestration mechanism.

GitHub Repo Request for Change (RFC)

0. Identity​

1. Purpose​

2. Architectural Role​

3. Canonical Identity​

4. Design Principles​

5. Runtime Responsibilities​

6. Scheduling Modes​

7. Job Classes​

8. Workflow Types​

9. Runtime Architecture​

10. Runtime Processing Pipeline​

11. Processing Algorithm​

12. Job Definition Model​

13. Job Run Model​

14. Workflow State Model​

15. Canonical Job Definition Example​

16. Canonical Job Run Example​

17. Trigger Model​

18. Trigger Payload Example​

19. Priority Model​

20. Retry Model​

21. Retry Policy Example​

22. Timeout and SLA Model​

23. SLA Breach Event​

24. Idempotency Model​

25. Locking Model​

26. Dead-Letter Model​

27. Dead-Letter Event​

28. Replay Scheduling​

29. Replay Job Example​

30. DAL Batch Orchestration​

31. DAL Batch Job Example​

32. Federation Synchronization​

33. Federation Sync Job Example​

34. Quarantine SLA Orchestration​

35. Quarantine SLA Job Example​

36. AI Feedback Orchestration​

37. AII Telemetry Orchestration​

38. Configuration Refresh Orchestration​

39. Safe Mode Orchestration​

40. Safe Mode Job Example​

41. CSI Contracts​

41.1. Input CSIs​

41.2. Output CSIs​

42. API Specification​

42.1. Schedule Job​

43. API: Cancel Job​

44. API: Workflow Status​

45. Job Started Event​

46. Job Completed Event​

47. Job Failed Event​

48. DAL Integration​

49. Audit Log Integration​

50. Observability Integration​

51. AII Integration​

52. DSAIL Integration​

53. Replay Behaviour​

54. Federation Behaviour​

55. Security Requirements​

56. Worker Dispatch Security​

57. Retention Model​

58. Failure Handling​

59. Performance Targets​

60. Deployment Model​

61. Storage Architecture​

62. Testing Requirements​

63. Compliance Alignment​

64. Developer Implementation Notes​

65. Implementation Anti-Patterns​

66. Summary​

0. Identity

1. Purpose

2. Architectural Role

3. Canonical Identity

4. Design Principles

5. Runtime Responsibilities

6. Scheduling Modes

7. Job Classes

8. Workflow Types

9. Runtime Architecture

10. Runtime Processing Pipeline

11. Processing Algorithm

12. Job Definition Model

13. Job Run Model

14. Workflow State Model

15. Canonical Job Definition Example

16. Canonical Job Run Example

17. Trigger Model

18. Trigger Payload Example

19. Priority Model

20. Retry Model

21. Retry Policy Example

22. Timeout and SLA Model

23. SLA Breach Event

24. Idempotency Model

25. Locking Model

26. Dead-Letter Model

27. Dead-Letter Event

28. Replay Scheduling

29. Replay Job Example

30. DAL Batch Orchestration

31. DAL Batch Job Example

32. Federation Synchronization

33. Federation Sync Job Example

34. Quarantine SLA Orchestration

35. Quarantine SLA Job Example

36. AI Feedback Orchestration

37. AII Telemetry Orchestration

38. Configuration Refresh Orchestration

39. Safe Mode Orchestration

40. Safe Mode Job Example

41. CSI Contracts

41.1. Input CSIs

41.2. Output CSIs

42. API Specification

42.1. Schedule Job

43. API: Cancel Job

44. API: Workflow Status

45. Job Started Event

46. Job Completed Event

47. Job Failed Event

48. DAL Integration

49. Audit Log Integration

50. Observability Integration

51. AII Integration

52. DSAIL Integration

53. Replay Behaviour

54. Federation Behaviour

55. Security Requirements

56. Worker Dispatch Security

57. Retention Model

58. Failure Handling

59. Performance Targets

60. Deployment Model

61. Storage Architecture

62. Testing Requirements

63. Compliance Alignment

64. Developer Implementation Notes

65. Implementation Anti-Patterns

66. Summary