{
  "$schema": "https://opensentience.org/schemas/pulse-loop-manifest.v0.1.json",
  "pulse_protocol_version": "0.1",

  "loop_id": "graphonomous.continual_learning",
  "loop_name": "Graphonomous Continual Learning Loop",
  "version": "0.4.1",
  "owner": "ampersandboxdesign.com",
  "workspace_scope": "required",

  "description": "Per-turn memory loop that retrieves context, routes by topology, acts on the graph, learns from outcomes, and consolidates during idle. Implements OS-001 (continual learning) and OS-002 (kappa routing).",

  "phases": [
    {
      "id": "retrieve_ctx",
      "kind": "retrieve",
      "description": "Pull semantic, episodic, and procedural context for the current query.",
      "inputs":  { "from": "external", "schema": "RetrieveRequest" },
      "outputs": { "to": "phase:route_topology", "schema": "RetrieveResult" },
      "idempotent": true,
      "signature": "blake3(query, workspace_id, k)",
      "timeout_ms": 500,
      "on_failure": "retry",
      "max_retries": 2
    },
    {
      "id": "route_topology",
      "kind": "route",
      "description": "Compute kappa over retrieved subgraph; route to act or deliberate.",
      "inputs":  { "from": "phase:retrieve_ctx", "schema": "RetrieveResult" },
      "outputs": { "to": "phase:act_store", "schema": "RouteDecision" },
      "idempotent": true,
      "invariant": "kappa_routing"
    },
    {
      "id": "act_store",
      "kind": "act",
      "description": "Persist the agent's action and outcome envelope.",
      "inputs":  { "from": "phase:route_topology", "schema": "RouteDecision" },
      "outputs": { "to": "substrate:memory", "schema": "Mutation" },
      "idempotent": false,
      "policy_check": "delegatic.check_policy",
      "audit_event": "node.created"
    },
    {
      "id": "learn_outcome",
      "kind": "learn",
      "description": "Update confidence on causal parent nodes from outcome signal.",
      "inputs":  { "from": "external|signal:OutcomeSignal", "schema": "OutcomeSignal" },
      "outputs": { "to": "substrate:memory", "schema": "ConfidenceUpdate" },
      "idempotent": true,
      "invariant": "feedback_immutability"
    },
    {
      "id": "consolidate_idle",
      "kind": "consolidate",
      "description": "Merge similar nodes and promote across timescales during idle periods.",
      "inputs":  { "from": "substrate:memory", "schema": "ConsolidationCandidate[]" },
      "outputs": { "to": "substrate:memory", "schema": "ConsolidationEvent" },
      "idempotent": true
    }
  ],

  "closure": {
    "from_phase": "consolidate_idle",
    "to_phase":   "retrieve_ctx",
    "via":        "substrate:memory",
    "guarantee":  "eventual"
  },

  "cadence": {
    "type":   "event",
    "params": { "trigger": "agent_query" },
    "fallback": { "type": "idle", "params": { "min_idle_ms": 60000 } }
  },

  "nesting": {
    "parent_loop": null,
    "inner_loops": [
      {
        "loop_id": "graphonomous.deliberate",
        "trigger": "phase:route_topology when kappa > 0",
        "wait":    "until_stable"
      }
    ]
  },

  "substrates": {
    "memory":    "graphonomous://workspace/{ws_id}",
    "policy":    "delegatic://workspace/{ws_id}",
    "audit":     "delegatic://workspace/{ws_id}/audit",
    "auth":      "open_sentience://workspace/{ws_id}",
    "transport": "mcp",
    "time":      null
  },

  "invariants": {
    "phase_atomicity":       true,
    "feedback_immutability": true,
    "append_only_audit":     true,
    "kappa_routing":         true,
    "quorum_before_commit":  false,
    "outcome_grounding":     true,
    "trace_id_propagation":  true
  },

  "connections": [
    {
      "id": "outcome_to_prism",
      "emit_phase":     "learn_outcome",
      "emit_condition": "status in ['success','failure']",
      "envelope":       "cloudevents.v1",
      "token":          "OutcomeSignal",
      "to_loop":        "prism.benchmark",
      "to_phase":       "observe",
      "cadence":        "async",
      "delivery":       "at_least_once"
    }
  ],

  "telemetry": {
    "namespace": "graphonomous",
    "phase_metrics": ["duration_ms", "input_size", "output_size", "status"],
    "loop_metrics": ["closure_rate", "iteration_count", "kappa_distribution"]
  }
}