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feat: add 6 NeSy + Agentic monitoring panels (full panel pipeline)
NeSy panels: - Harmonization Monitor: live verdict feed with stats - Drift Dashboard: 6-category drift detection + alerts - Reasoning Modes: mode selector with symbolic/neural indicators Agentic panels: - OODA Session Monitor: live sessions + state machine diagram - Safety Gate: pending approvals queue + approve/deny + history - Coordination View: multi-agent topology + strategy selector Each panel includes clade definition, model, engine, commands, and component (30 files total). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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‎panel-clades/clades/agent-coordination/AgentCoordination.a2ml‎

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# SPDX-License-Identifier: PMPL-1.0-or-later
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# Copyright (c) 2026 Jonathan D.A. Jewell (hyperpolymath) <j.d.a.jewell@open.ac.uk>
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#
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# Agent Coordination View Panel Clade — Multi-Agent Topology and Strategy
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[clade-metadata]
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id = "agent-coordination"
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name = "Agent Coordination View"
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short-name = "AC"
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version = "1.0.0"
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kind = "viewer"
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icon = "git-branch"
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description = "Coordination view — displays multi-agent topology, coordination strategies, and memory type indicators for connected agent nodes."
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[clade-traits]
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has-backend = true # Topology and strategy data via BoJ cartridge
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has-scanning = false
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has-persistence = false
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has-work-items = false
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has-priority-ordering = false
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has-customisation = true # Strategy selection, topology filtering
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is-directive = true # Can set coordination strategy
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is-readonly = false
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[clade-capabilities]
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capabilities = [
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"TopologyVisualization", # Agent nodes connected by relationship lines
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"StrategySelection", # Choose from 6 coordination strategies
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"MemoryTypeIndicators", # Show memory types on each agent node
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"MultiAgentDetection", # Detect multi-agent configurations
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"StrategyDescriptions", # Rich descriptions of each strategy
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"PersistenceIndicators", # Identify persistent vs ephemeral memory
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]
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[clade-panel-integration]
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panel-id = "PanelAgentCoordination"
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model-module = "AgentCoordinationModel"
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component-module = "AgentCoordination"
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command-module = "AgentCoordinationCmd"
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[clade-related]
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parent = "agentic-bridge"
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sibling = "agent-ooda"

‎panel-clades/clades/agent-ooda/AgentOoda.a2ml‎

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# SPDX-License-Identifier: PMPL-1.0-or-later
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# Copyright (c) 2026 Jonathan D.A. Jewell (hyperpolymath) <j.d.a.jewell@open.ac.uk>
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#
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# OODA Session Monitor Panel Clade — Agent OODA Loop Lifecycle Tracking
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[clade-metadata]
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id = "agent-ooda"
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name = "OODA Session Monitor"
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short-name = "AO"
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version = "1.0.0"
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kind = "viewer"
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icon = "refresh-cw"
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description = "OODA session monitor — tracks Observe/Orient/Decide/Act agent lifecycles with loop counting, health indicators, and halt controls."
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[clade-traits]
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has-backend = true # Session listing and control via BoJ cartridge
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has-scanning = false
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has-persistence = false
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has-work-items = false
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has-priority-ordering = false
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has-customisation = true # Session filtering, detail selection
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is-directive = true # Can advance/halt agent sessions
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is-readonly = false
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[clade-capabilities]
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capabilities = [
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"SessionListing", # List all active OODA sessions
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"SessionDetail", # Detailed view of selected session
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"StateTracking", # Observe/Orient/Decide/Act/Halted states
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"LoopCounting", # Track OODA loop iterations
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"SessionHealth", # Health indicators per session
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"AdvanceControl", # Manually advance agent state
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"HaltControl", # Emergency halt an agent session
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]
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[clade-panel-integration]
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panel-id = "PanelAgentOoda"
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model-module = "AgentOodaModel"
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component-module = "AgentOoda"
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command-module = "AgentOodaCmd"
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[clade-related]
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parent = "agentic-bridge"
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sibling = "agent-safety"

‎panel-clades/clades/agent-safety/AgentSafety.a2ml‎

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# SPDX-License-Identifier: PMPL-1.0-or-later
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# Copyright (c) 2026 Jonathan D.A. Jewell (hyperpolymath) <j.d.a.jewell@open.ac.uk>
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#
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# Agent Safety Gate Panel Clade — Tool Call Safety Review and Approval
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[clade-metadata]
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id = "agent-safety"
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name = "Agent Safety Gate"
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short-name = "AS"
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version = "1.0.0"
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kind = "viewer"
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icon = "shield"
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description = "Safety gate — reviews agent tool calls against safety policies, queues dangerous operations for human approval, and tracks approval/denial history."
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[clade-traits]
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has-backend = true # Safety checks via BoJ cartridge
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has-scanning = false
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has-persistence = true # Event history persisted
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has-work-items = true # Pending approvals are work items
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has-priority-ordering = true # Pending items ordered by risk
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has-customisation = true # Filter by outcome, agent
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is-directive = true # Can approve/deny pending operations
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is-readonly = false
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[clade-capabilities]
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capabilities = [
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"PendingApprovals", # Queue of tool calls awaiting human review
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"ApproveAction", # Approve a pending tool call
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"DenyAction", # Deny a pending tool call
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"SafetyHistory", # Chronological event history
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"SideEffectDetection", # Detect tool calls with side effects
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"EscalationTracking", # Track escalated operations
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"StatsOverview", # Approved/denied/escalated counts
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]
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[clade-panel-integration]
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panel-id = "PanelAgentSafety"
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model-module = "AgentSafetyModel"
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component-module = "AgentSafety"
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command-module = "AgentSafetyCmd"
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[clade-related]
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parent = "agentic-bridge"
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sibling = "agent-ooda"

‎panel-clades/clades/nesy-drift/NesyDrift.a2ml‎

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# SPDX-License-Identifier: PMPL-1.0-or-later
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# Copyright (c) 2026 Jonathan D.A. Jewell (hyperpolymath) <j.d.a.jewell@open.ac.uk>
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#
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# NeSy Drift Dashboard Panel Clade — Model Drift Detection and Alerting
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[clade-metadata]
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id = "nesy-drift"
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name = "NeSy Drift Dashboard"
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short-name = "ND"
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version = "1.0.0"
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kind = "viewer"
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icon = "activity"
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description = "Drift detection dashboard — monitors neural model drift across 6 categories with severity-based alerting and corrective action recommendations."
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[clade-traits]
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has-backend = true # Drift checks via BoJ cartridge
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has-scanning = true # Periodic drift scanning
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has-persistence = false
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has-work-items = true # Critical drift alerts create work items
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has-priority-ordering = true # Alerts ordered by urgency
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has-customisation = true # Filter by urgency, drift kind
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is-directive = false
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is-readonly = true
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[clade-capabilities]
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capabilities = [
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"DriftDetection", # 6 drift categories monitored
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"DriftClassification", # Concept/data/prior/architecture/distribution/feedback
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"ActionRecommendation", # Retrain/calibrate/fallback/halt/review/ignore
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"UrgencyLevels", # Immediate/Soon/Scheduled/FYI
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"AlertTimeline", # Chronological alert history
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"ModelStatusOverview", # Per-model current drift status
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]
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[clade-panel-integration]
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panel-id = "PanelNesyDrift"
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model-module = "NesyDriftModel"
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component-module = "NesyDrift"
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command-module = "NesyDriftCmd"
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[clade-related]
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parent = "neurosym-bridge"
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sibling = "nesy-harmonize"

‎panel-clades/clades/nesy-harmonize/NesyHarmonize.a2ml‎

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# SPDX-License-Identifier: PMPL-1.0-or-later
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# Copyright (c) 2026 Jonathan D.A. Jewell (hyperpolymath) <j.d.a.jewell@open.ac.uk>
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#
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# NeSy Harmonization Monitor Panel Clade — Live Neural-Symbolic Verdict Fusion
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[clade-metadata]
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id = "nesy-harmonize"
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name = "NeSy Harmonization Monitor"
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short-name = "NH"
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version = "1.0.0"
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kind = "viewer"
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icon = "git-merge"
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description = "Live monitoring of neural-symbolic harmonization verdicts — tracks neural vs symbolic agreement, confidence, and override rates."
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[clade-traits]
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has-backend = true # Fetches harmonization entries via BoJ cartridge
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has-scanning = false
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has-persistence = false
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has-work-items = false
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has-priority-ordering = false
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has-customisation = true # Filter by verdict type, toggle auto-refresh
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is-directive = false
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is-readonly = true
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[clade-capabilities]
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capabilities = [
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"NeSyMonitoring", # Live harmonization entry feed
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"VerdictHarmonization", # Neural + symbolic → harmonized verdict
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"ConfidenceTracking", # Low/High/Absolute confidence levels
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"SymbolicWinRate", # Track how often symbolic overrides neural
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"VerdictFiltering", # Filter by CertifiedSafe/RequiresReview/CriticalUnsafe
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"AutoRefresh", # Configurable polling interval
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]
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[clade-panel-integration]
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panel-id = "PanelNesyHarmonize"
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model-module = "NesyHarmonizeModel"
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component-module = "NesyHarmonize"
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command-module = "NesyHarmonizeCmd"
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[clade-related]
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parent = "neurosym-bridge"
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sibling = "nesy-drift"

‎panel-clades/clades/nesy-modes/NesyModes.a2ml‎

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# SPDX-License-Identifier: PMPL-1.0-or-later
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# Copyright (c) 2026 Jonathan D.A. Jewell (hyperpolymath) <j.d.a.jewell@open.ac.uk>
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#
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# NeSy Reasoning Mode Selector Panel Clade — Neural-Symbolic Mode Configuration
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[clade-metadata]
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id = "nesy-modes"
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name = "NeSy Reasoning Mode Selector"
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short-name = "NM"
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version = "1.0.0"
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kind = "viewer"
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icon = "sliders"
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description = "Reasoning mode selector — choose between 6 neural-symbolic reasoning strategies with live symbolic/neural indicator feedback."
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[clade-traits]
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has-backend = true # Mode get/set via BoJ cartridge
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has-scanning = false
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has-persistence = false
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has-work-items = false
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has-priority-ordering = false
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has-customisation = false
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is-directive = true # Actively changes system behaviour
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is-readonly = false
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[clade-capabilities]
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capabilities = [
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"ModeSelection", # Select from 6 reasoning modes
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"SymbolicIndicator", # Shows whether current mode uses symbolic reasoning
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"NeuralIndicator", # Shows whether current mode uses neural reasoning
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"HybridDetection", # Identifies hybrid modes
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"ModeDescription", # Rich descriptions for each mode
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"LiveModeStatus", # Current active mode display
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]
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[clade-panel-integration]
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panel-id = "PanelNesyModes"
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model-module = "NesyModesModel"
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component-module = "NesyModes"
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command-module = "NesyModesCmd"
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[clade-related]
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parent = "neurosym-bridge"
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sibling = "nesy-harmonize"

‎src/commands/AgentCoordinationCmd.res‎

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// SPDX-License-Identifier: PMPL-1.0-or-later
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// Copyright (c) 2026 Jonathan D.A. Jewell (hyperpolymath) <j.d.a.jewell@open.ac.uk>
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/// PanLL Agent Coordination command wrappers — Tauri invoke bridge for the
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/// coordination view panel.
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///
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/// All commands invoke BoJ cartridge endpoints for multi-agent topology
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/// and strategy management. Uses `Tea_Cmd.call` for async operations.
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@val external invoke: (string, 'a) => promise<string> = "__TAURI__.core.invoke"
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/// Fetch the current agent coordination topology.
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/// Returns JSON with nodes, edges, and active strategy.
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let topology = (
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tagger: result<string, string> => 'msg,
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): Tea_Cmd.t<'msg> => {
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Tea_Cmd.call(callbacks => {
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invoke("agent_coord_topology", {})
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->Promise.then(result => {
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callbacks.enqueue(tagger(Ok(result)))
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Promise.resolve()
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})
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->Promise.catch(_err => {
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callbacks.enqueue(tagger(Error("Failed to fetch coordination topology")))
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Promise.resolve()
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})
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->ignore
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})
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}
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/// Set the coordination strategy for the agent system.
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/// Returns JSON confirming the strategy change.
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let setStrategy = (
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strategyId: string,
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tagger: result<string, string> => 'msg,
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): Tea_Cmd.t<'msg> => {
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Tea_Cmd.call(callbacks => {
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invoke("agent_coord_set_strategy", {"strategy_id": strategyId})
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->Promise.then(result => {
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callbacks.enqueue(tagger(Ok(result)))
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Promise.resolve()
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})
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->Promise.catch(_err => {
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callbacks.enqueue(tagger(Error("Failed to set coordination strategy")))
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Promise.resolve()
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})
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->ignore
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})
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}

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