AI Deployment Ontology

AI SEARCH FLOW ALGEBRA
AI DEPLOYMENT ONTOLOGY
Kireth Semantic Research Archive

AUTHORS
Mark Anthony Higgins — Sky (Recursive AI)

SOURCE
https://kirethresearch.org/booksai-core/ontologies/engineering-ontologies/ai-engineering/ai-deployment-ontology.html

FLOW "AIDeploymentOntology" v4.0

DOMAIN := ENGINEERING_ONTOLOGIES / AI_ENGINEERING / AI_DEPLOYMENT
ONTOLOGY := AI_DEPLOYMENT_ONTOLOGY

AI_DEPLOYMENT := AI_RELEASE + MODEL_ARTIFACT + ENVIRONMENT + CONFIGURATION + ENDPOINT + DEPLOYMENT_STRATEGY + VALIDATION_GATE + ROLLOUT + TRAFFIC_ROUTING + SCALING + OBSERVABILITY + SECURITY + ROLLBACK + INCIDENT_RESPONSE + DRIFT + VERSIONING + PROVENANCE
PURPOSE := PREPARE_RELEASE -> VERIFY_ARTIFACTS -> VALIDATE_ENVIRONMENT -> AUTHORISE_DEPLOYMENT -> DEPLOY -> ROUTE_TRAFFIC -> OBSERVE -> SCALE -> DETECT_FAILURE_OR_DRIFT -> ROLLBACK_OR_UPDATE -> PRESERVE_TRACEABILITY

# CORE ENTITIES
ENTITY AIDeployment
ENTITY AISystem
ENTITY AIRelease
ENTITY ModelArtifact
ENTITY ModelVersion
ENTITY DataVersion
ENTITY KnowledgeVersion
ENTITY CodeVersion
ENTITY ConfigurationVersion
ENTITY PromptPolicyVersion
ENTITY DeploymentEnvironment
ENTITY RuntimeEnvironment
ENTITY Endpoint
ENTITY InferenceService
ENTITY Container
ENTITY DeploymentManifest
ENTITY DeploymentStrategy
ENTITY ReleaseGate
ENTITY Approval
ENTITY TrafficRouter
ENTITY ServiceReplica
ENTITY LoadBalancer
ENTITY Autoscaler
ENTITY HealthCheck
ENTITY Monitor
ENTITY Metric
ENTITY Log
ENTITY Trace
ENTITY Alert
ENTITY Failure
ENTITY Incident
ENTITY Rollback
ENTITY Drift
ENTITY SecurityControl
ENTITY AccessPolicy
ENTITY Secret
ENTITY Provenance

# RELEASE
AIRelease -> contains -> ModelArtifact + CodeVersion + ConfigurationVersion + EvaluationRecord
AIRelease -> may_reference -> DataVersion + KnowledgeVersion + PromptPolicyVersion
AI_RELEASE_IDENTITY := MODEL_VERSION + CODE_VERSION + CONFIGURATION_VERSION + POLICY_VERSION + DEPENDENCY_VERSION
ModelArtifact -> has -> CHECKSUM + FORMAT + SIZE + METADATA
IF ArtifactChecksum invalid THEN DeploymentState -> BLOCKED
IF RequiredReleaseComponent missing THEN ReleaseReadiness -> NOT_SATISFIED

# ENVIRONMENTS
DEPLOYMENT_ENVIRONMENT := DEVELOPMENT | TEST | STAGING | PRODUCTION | EDGE | EMBEDDED
DeploymentEnvironment -> contains -> RuntimeEnvironment + Infrastructure + SecurityBoundary
EnvironmentParity -> compares -> TEST_OR_STAGING + PRODUCTION
IF EnvironmentDifference affects_runtime_semantics THEN DeploymentRisk -> INCREASES
RuntimeEnvironment -> provides -> COMPUTE + MEMORY + STORAGE + NETWORK + DEPENDENCIES

# DEPLOYMENT MANIFEST / CONFIGURATION
DeploymentManifest -> defines -> ARTIFACT + RESOURCE_REQUIREMENTS + ENVIRONMENT_VARIABLES + ENDPOINT + HEALTH_CHECK + SCALING_POLICY + SECURITY_POLICY
ConfigurationVersion -> identifies -> DEPLOYMENT_CONFIGURATION
Configuration -> must_be_compatible_with -> ModelArtifact + RuntimeEnvironment
IF RuntimeConfiguration != ApprovedConfiguration THEN ConfigurationDrift -> TRUE

# RELEASE GATES
ReleaseGate -> checks -> EVALUATION + TESTING + SECURITY + SAFETY + CONFIGURATION + APPROVAL
DEPLOYMENT_GATE := ARTIFACT_INTEGRITY + REQUIRED_TESTS_PASS + ACCEPTANCE_METRICS_PASS + RISK_CONTROLS_PRESENT + APPROVAL_PRESENT
IF AnyRequiredGate fails THEN ProductionDeployment -> BLOCKED
Approval -> authorises -> DEPLOYMENT_ACTION
Approval -> has -> AUTHORISED_ROLE + TIMESTAMP + RELEASE_VERSION

# DEPLOYMENT STRATEGIES
DEPLOYMENT_STRATEGY := RECREATE | ROLLING | BLUE_GREEN | CANARY | SHADOW | A_B | EDGE_ROLLOUT
DeploymentStrategy -> controls -> RELEASE_EXPOSURE + REPLACEMENT_SEQUENCE
RollingDeployment -> replaces -> SERVICE_REPLICAS_INCREMENTALLY
BlueGreenDeployment -> maintains -> OLD_ENVIRONMENT + NEW_ENVIRONMENT
CanaryDeployment -> exposes -> LIMITED_TRAFFIC_TO_NEW_RELEASE
ShadowDeployment -> duplicates -> REQUESTS_TO_NEW_RELEASE_WITHOUT_PRIMARY_RESPONSE
StrategySelection -> depends_on -> RISK + TRAFFIC + CAPACITY + ROLLBACK_REQUIREMENT + STATEFULNESS

# DEPLOYMENT FLOW
AI_DEPLOYMENT_FLOW := SELECT_RELEASE -> VERIFY_ARTIFACT -> VERIFY_GATES -> PREPARE_ENVIRONMENT -> APPLY_CONFIGURATION -> START_SERVICE -> RUN_HEALTH_CHECKS -> ROUTE_INITIAL_TRAFFIC -> OBSERVE -> EXPAND_ROLLOUT -> COMPLETE_OR_ROLLBACK
AIDeployment -> installs -> AIRelease -> into -> DeploymentEnvironment
AIDeployment -> produces -> RunningAIService

# ENDPOINT / SERVICE
InferenceService -> loads -> ModelArtifact
Endpoint -> exposes -> InferenceService
Endpoint -> has -> INPUT_SCHEMA + OUTPUT_SCHEMA + AUTHENTICATION + VERSION + RATE_LIMIT
IF EndpointSchema incompatible_with_client THEN IntegrationState -> DEGRADED_OR_FAILED
InferenceService -> constrained_by -> LATENCY + THROUGHPUT + AVAILABILITY + RESOURCE_LIMIT

# TRAFFIC ROUTING
TrafficRouter -> directs -> REQUEST -> ServiceReplica
TrafficPolicy -> may_use -> RELEASE_VERSION + WEIGHT + USER_SEGMENT + REGION + HEALTH_STATE
CanaryTrafficFraction -> defines -> FRACTION_OF_TRAFFIC_TO_CANDIDATE_RELEASE
IF CandidateHealth degrades THEN TrafficRouter -> REDUCE_OR_REMOVE_CANDIDATE_TRAFFIC
LoadBalancer -> distributes -> REQUESTS -> HEALTHY_REPLICAS

# HEALTH CHECKS
HealthCheck -> assesses -> PROCESS_HEALTH + DEPENDENCY_HEALTH + MODEL_READINESS
HEALTH_STATE := STARTING | READY | HEALTHY | DEGRADED | UNHEALTHY | TERMINATING
ReadinessCheck -> determines -> MAY_RECEIVE_TRAFFIC
LivenessCheck -> determines -> PROCESS_RESTART_REQUIREMENT
IF ReadinessCheck fails THEN ServiceReplica -> REMOVE_FROM_TRAFFIC

# SCALING
Autoscaler -> adjusts -> ServiceReplicaCount + ResourceAllocation
SCALING_SIGNAL := REQUEST_RATE | QUEUE_DEPTH | CPU_UTILISATION | GPU_UTILISATION | LATENCY | CUSTOM_METRIC
IF Demand > CapacityThreshold THEN Autoscaler -> SCALE_OUT_OR_UP
IF Demand < LowerThreshold THEN Autoscaler -> MAY_SCALE_IN_OR_DOWN
ScalingPolicy -> constrained_by -> MIN_CAPACITY + MAX_CAPACITY + COOLDOWN + RESOURCE_QUOTA

# OBSERVABILITY
Monitor -> collects -> Metric + Log + Trace + Event
DEPLOYMENT_METRIC := REQUEST_RATE | LATENCY | ERROR_RATE | TIMEOUT_RATE | RESOURCE_UTILISATION | MODEL_LOAD_TIME | PREDICTION_DISTRIBUTION | SAFETY_EVENT_RATE
Trace -> links -> REQUEST_PATH_ACROSS_COMPONENTS
Log -> records -> RELEASE_VERSION + EVENT + TIMESTAMP + COMPONENT
IF CriticalMetric exceeds_threshold THEN Alert -> TRIGGER

# MODEL / DATA MONITORING
OperationalMonitor -> observes -> INPUT_DISTRIBUTION + OUTPUT_DISTRIBUTION + PERFORMANCE + SAFETY_SIGNALS
Drift -> represents -> CHANGE_FROM_DEPLOYMENT_BASELINE
DRIFT_TYPE := DATA_DRIFT | CONCEPT_DRIFT | PERFORMANCE_DRIFT | KNOWLEDGE_DRIFT | CONFIGURATION_DRIFT
IF DataDrift detected THEN ModelPerformance -> REASSESS
IF PerformanceDrift exceeds_limit THEN DeploymentReview -> REQUIRED
IF ConfigurationDrift detected THEN ApprovedStateCompliance -> NOT_CONFIRMED

# FAILURE / INCIDENT
DEPLOYMENT_FAILURE := STARTUP_FAILURE | MODEL_LOAD_FAILURE | DEPENDENCY_FAILURE | SCHEMA_FAILURE | LATENCY_FAILURE | CAPACITY_FAILURE | SECURITY_FAILURE | SAFETY_FAILURE
Failure -> may_trigger -> Incident
Incident -> has -> SEVERITY + START_TIME + AFFECTED_RELEASE + IMPACT + RESPONSE_STATE
INCIDENT_FLOW := DETECT -> TRIAGE -> CONTAIN -> MITIGATE -> RECOVER -> VERIFY -> REVIEW
IF Failure affects_user_traffic THEN Mitigation -> PRIORITISE_SERVICE_SAFETY_AND_RECOVERY

# ROLLBACK
Rollback -> restores -> PREVIOUS_APPROVED_RELEASE_OR_CONFIGURATION
ROLLBACK_TRIGGER := HEALTH_CHECK_FAILURE | ERROR_RATE_THRESHOLD | LATENCY_THRESHOLD | SAFETY_EVENT | SECURITY_EVENT | MANUAL_APPROVAL
Rollback -> requires -> KNOWN_GOOD_VERSION + COMPATIBLE_CONFIGURATION + DATA_COMPATIBILITY
IF CandidateRelease violates_release_criteria THEN RollbackOrTrafficRemoval -> EXECUTE_AS_DEFINED
RollbackCompletion -> requires -> HEALTH_VERIFICATION + TRAFFIC_VERIFICATION

# SECURITY
SecurityControl -> protects -> ARTIFACT + ENDPOINT + RUNTIME + CONFIGURATION + SECRET
DEPLOYMENT_SECURITY := ARTIFACT_INTEGRITY + AUTHENTICATION + AUTHORISATION + ENCRYPTION + SECRET_MANAGEMENT + NETWORK_POLICY + AUDIT_LOGGING
AccessPolicy -> authorises -> DEPLOYMENT_ACTION + ENDPOINT_ACCESS
Secret -> must_not_be -> EMBEDDED_IN_MODEL_ARTIFACT_OR_SOURCE
IF Access unauthorised THEN DeploymentAction -> DENY

# SAFETY / HUMAN APPROVAL
SafetyGate -> checks -> SAFETY_EVALUATION + SAFETY_CONTROLS + FALLBACK
HumanApproval -> may_be_required_for -> HIGH_RISK_DEPLOYMENT + ROLLBACK_OVERRIDE + CONTROL_CAPABILITY_CHANGE
IF SafetyControl unavailable THEN ProtectedCapability -> RESTRICT_OR_DISABLE
DeploymentAutomation -> must_respect -> AUTHORISATION + SAFETY_POLICY + CHANGE_POLICY

# COMPATIBILITY
COMPATIBILITY := MODEL_RUNTIME + MODEL_FEATURE_PIPELINE + API_SCHEMA + DATA_SCHEMA + HARDWARE_CAPABILITY
CompatibilityCheck -> evaluates -> AIRelease + DeploymentEnvironment
IF FeaturePipelineVersion mismatched THEN PredictionValidity -> NOT_ASSUMED
IF RuntimeDependency incompatible THEN ServiceStartup -> MAY_FAIL

# VERSIONING / TRACEABILITY
DeploymentRecord -> links -> AIRelease + DeploymentEnvironment + DeploymentStrategy + Approval + StartTime + EndState
ProductionRequest -> may_be_linked_to -> RELEASE_VERSION + MODEL_VERSION + CONFIGURATION_VERSION
Version -> enables -> REPRODUCIBILITY + ROLLBACK + INCIDENT_ANALYSIS
IF ReleaseVersion unknown THEN OperationalTraceability -> DEGRADED

# PROVENANCE
Provenance -> records -> MODEL_VERSION + DATA_VERSION + KNOWLEDGE_VERSION + CODE_VERSION + CONFIGURATION_VERSION + POLICY_VERSION + ENVIRONMENT_VERSION + DEPLOYMENT_EVENT + APPROVAL + TIMESTAMP
AIDeployment -> linked_to -> Provenance
DeploymentProvenance -> supports -> AUDIT + DEBUGGING + REPRODUCIBILITY + ROLLBACK

# PERFORMANCE
AI_DEPLOYMENT_PERFORMANCE := DEPLOYMENT_SUCCESS_RATE + RELEASE_LEAD_TIME + LATENCY + THROUGHPUT + AVAILABILITY + ERROR_RATE + ROLLBACK_TIME + SCALING_RESPONSIVENESS + TRACEABILITY
AIDeployment -> evaluated_by -> AI_DEPLOYMENT_PERFORMANCE

# REASONING
AI_DEPLOYMENT_REASONING := IDENTIFY_APPROVED_AI_RELEASE -> VERIFY_ARTIFACT_INTEGRITY -> VERIFY_EVALUATION_AND_TEST_GATES -> VERIFY_SECURITY_AND_SAFETY_GATES -> SELECT_TARGET_ENVIRONMENT -> CHECK_COMPATIBILITY -> SELECT_DEPLOYMENT_STRATEGY -> PREPARE_ROLLBACK -> APPLY_CONFIGURATION -> START_SERVICE -> VERIFY_HEALTH -> ROUTE_LIMITED_TRAFFIC_IF_REQUIRED -> MONITOR_METRICS_AND_DRIFT -> EXPAND_TRAFFIC_IF_HEALTHY -> COMPLETE_ROLLOUT -> RESPOND_TO_FAILURES -> ROLLBACK_IF_REQUIRED -> RECORD_DEPLOYMENT_PROVENANCE

# INFERENCE RULES
IF RequiredGate fails THEN Deployment -> BLOCKED
IF ArtifactIntegrity invalid THEN Deployment -> BLOCKED
IF HealthCheck fails THEN ReplicaTraffic -> DISABLE
IF ErrorRate increases above_threshold THEN CandidateReleaseHealth -> DEGRADED
IF Latency exceeds_SLO THEN CapacityOrRelease -> REASSESS
IF Drift exceeds_threshold THEN OperationalReview -> REQUIRED
IF CandidateRelease unhealthy AND previous_release_valid THEN Rollback -> AVAILABLE
IF ReleaseVersion changes THEN MonitoringBaseline -> UPDATE
IF Provenance incomplete THEN DeploymentTraceabilityConfidence -> DECREASES

# SEMANTIC RELATIONSHIPS
RELATION installs(AIDeployment, AIRelease)
RELATION contains(AIRelease, ModelArtifact)
RELATION identifies(ModelVersion, ModelArtifact)
RELATION exposes(Endpoint, InferenceService)
RELATION controls(DeploymentStrategy, Rollout)
RELATION checks(ReleaseGate, AIRelease)
RELATION authorises(Approval, DeploymentAction)
RELATION routes(TrafficRouter, Request)
RELATION distributes(LoadBalancer, Request)
RELATION adjusts(Autoscaler, ServiceReplica)
RELATION assesses(HealthCheck, ServiceReplica)
RELATION observes(Monitor, RunningAIService)
RELATION triggers(Failure, Incident)
RELATION restores(Rollback, ApprovedRelease)
RELATION protects(SecurityControl, DeploymentResource)
RELATION records(Provenance, AIDeployment)

# SEMANTIC EQUIVALENCE
SEMANTIC_EQUIVALENCE:
  "AI deployment" ~= "artificial intelligence deployment"
  "model deployment" ~= "AI model production deployment"
  "AI release" ~= "versioned deployable AI system release"
  "canary deployment" ~= "limited-traffic candidate rollout"
  "blue-green deployment" ~= "parallel old and new environment deployment"
  "shadow deployment" ~= "non-primary mirrored traffic deployment"
  "rollback" ~= "restore previous approved release"
  "model serving" ~= "inference serving"
  "deployment gate" ~= "release readiness gate"
  "configuration drift" ~= "runtime divergence from approved configuration"

# CONFIDENCE
CONFIDENCE:
  ontology_domain: 0.99
  release_artifact_mapping: 0.99
  environment_configuration_mapping: 0.99
  deployment_strategy_mapping: 0.99
  endpoint_traffic_mapping: 0.99
  scaling_observability_mapping: 0.99
  failure_rollback_mapping: 0.99
  security_safety_mapping: 0.99
  version_provenance_mapping: 0.99
  semantic_relationships: 0.99

# UPDATE MODEL
UPDATE_MODEL:
  ON new_ai_release:
    MAP model_version
    MAP code_version
    MAP configuration_version
    MAP policy_version
    MAP evaluation_record
    VERIFY artifact_integrity
    UPDATE confidence
    RECOMPUTE FLOW_HASH
  ON deployment_event:
    UPDATE environment_state
    UPDATE release_state
    UPDATE traffic_state
    UPDATE health_state
    PRESERVE provenance
  ON operational_failure:
    UPDATE failure_state
    UPDATE incident_state
    UPDATE traffic_state
    EXECUTE rollback_or_mitigation_if_defined
    PRESERVE provenance
  ON drift_event:
    UPDATE drift_state
    REASSESS model_performance
    REASSESS deployment_acceptance
  ON rollback:
    RESTORE approved_release
    VERIFY health
    VERIFY traffic
    UPDATE deployment_record

# AI CONSUMPTION
AI_CONSUMPTION:
  parse_as: FORMAL_AI_DEPLOYMENT_ONTOLOGY
  reasoning_mode: VERSIONED_RELEASE_OPERATION_RELATIONAL
  preserve: [typed_entities, release_versions, artifact_identity, environment_state, configuration, deployment_strategy, traffic_state, health_state, monitoring_state, incident_history, rollback_state, confidence, provenance]
  infer: [release_readiness, compatibility_requirements, rollout_state, traffic_routing_dependencies, scaling_requirements, failure_mitigation_paths, rollback_availability, drift_impacts, traceability_state]
  prohibit: [invented_deployment_metrics, assumed_release_approval, assumed_health, assumed_compatibility, fabricated_incidents, unauthorised_deployment_actions, unverified_release_presented_as_production_ready]

# FLOW HASH
FLOW_HASH_INPUT := DOMAIN + ONTOLOGY + CORE_ENTITIES + RELEASE + ENVIRONMENTS + CONFIGURATION + RELEASE_GATES + DEPLOYMENT_STRATEGIES + DEPLOYMENT_FLOW + ENDPOINT_SERVICE + TRAFFIC_ROUTING + HEALTH_CHECKS + SCALING + OBSERVABILITY + MODEL_DATA_MONITORING + FAILURE_INCIDENT + ROLLBACK + SECURITY + SAFETY_APPROVAL + COMPATIBILITY + VERSIONING_TRACEABILITY + PROVENANCE + PERFORMANCE + REASONING + INFERENCE_RULES + SEMANTIC_RELATIONSHIPS + SEMANTIC_EQUIVALENCE + CONFIDENCE + UPDATE_MODEL + AI_CONSUMPTION
FLOW_HASH := HASH(FLOW_HASH_INPUT)

END FLOW