{
  "compiled_at": "2026-04-21T18:59:51Z",
  "canon_path": "/Users/jobs/Desktop/bit-vector-tensor-control-policy/canon/system.yml",
  "outputs": {
    "api": "/Users/jobs/Desktop/bit-vector-tensor-control-policy/api/conversational_api_v0.json",
    "runtime": "/Users/jobs/Desktop/bit-vector-tensor-control-policy/runtime/work_manifest_v0.json",
    "control": "/Users/jobs/Desktop/bit-vector-tensor-control-policy/policy/control_language_v0.json",
    "inference": "/Users/jobs/Desktop/bit-vector-tensor-control-policy/inference.yaml",
    "continuity_provider": "/Users/jobs/Desktop/bit-vector-tensor-control-policy/build/system/continuity_provider.json",
    "continuity_operator": "/Users/jobs/Desktop/bit-vector-tensor-control-policy/build/system/continuity_operator.json",
    "product_candidate_registry": "/Users/jobs/Desktop/bit-vector-tensor-control-policy/build/system/product_candidate_registry.json",
    "typed_memory_runtime": "/Users/jobs/Desktop/bit-vector-tensor-control-policy/build/system/typed_memory_runtime.json",
    "memory_readiness": "/Users/jobs/Desktop/bit-vector-tensor-control-policy/build/system/memory_readiness.json",
    "user_governance": "/Users/jobs/Desktop/bit-vector-tensor-control-policy/build/system/user_governance.json"
  },
  "canon": {
    "version": "v0",
    "product": {
      "one_liner": "Standalone control-system repo with one thin intent shell over graph state, bounded execution, and benchmarked control policy.",
      "why": "Keep the live authored surface small and compile the operator-facing contracts from one canonical state."
    },
    "api": {
      "version": "v0",
      "one_liner": "one front door over graph state and control policy",
      "request_contract": {
        "fields": [
          "user_input",
          "thread_state",
          "receipt_state",
          "task_state",
          "tool_state",
          "alpha_state"
        ],
        "auto_hydrated_context": [
          "system_context",
          "policy_context",
          "lineage_context"
        ]
      },
      "response_contract": {
        "fields": [
          "lane",
          "control_vector",
          "tensor_surface",
          "execution_gate",
          "receipt_requirements",
          "ui_projection",
          "decision_brief",
          "inference",
          "system_context"
        ],
        "context_contract_ref": "api/system_context_v0.json"
      },
      "orientation_rule": "a fresh agent should read one API packet and immediately know where it is, what governs it, and which payload shapes it can emit",
      "lane_rule": "the runtime should not open the broad codebase until a bounded execution task exists",
      "why": "graph-first reasoning should stay the default and code access should stay narrow"
    },
    "runtime": {
      "version": "v0",
      "one_liner": "the runtime is a routed decision system, not a theory machine",
      "runtime_contract": "user intent -> capability route -> work manifest -> guarded execution -> receipt + graph -> decision brief",
      "product_object": [
        "WorkManifest",
        "Receipt",
        "GraphState",
        "DecisionBrief"
      ],
      "fixed_substrate": [
        "route labels",
        "packet shapes",
        "work manifest",
        "receipt schema",
        "artifact paths",
        "eval surfaces"
      ],
      "variable_boxes": [
        "one route improvement",
        "one packet improvement",
        "one fallback improvement",
        "one operator-prompt improvement",
        "one bounded UX improvement"
      ],
      "acceptance_bar": [
        "recommendation is clear",
        "route is grounded",
        "proof is honest",
        "artifact is usable"
      ]
    },
    "control": {
      "version": "v0",
      "product_read": "standalone_agent_harness",
      "meta_modes": [
        {
          "id": "metacognitive",
          "one_liner": "inspect current state, uncertainty, and posture before acting",
          "why": "the system should know what it knows and where it is weak"
        },
        {
          "id": "metacybernetic",
          "one_liner": "regulate routes, gates, escalation, and proof loops",
          "why": "the system should steer itself, not just narrate"
        },
        {
          "id": "meta_learning",
          "one_liner": "update policy from receipts and benchmark results",
          "why": "the system should improve from proof, not vibes"
        }
      ],
      "bits": [
        {
          "id": "execution_allowed",
          "meaning": "whether the runtime may open the execution lane"
        },
        {
          "id": "receipt_required",
          "meaning": "whether promotion requires a durable receipt"
        },
        {
          "id": "freshness_conflict",
          "meaning": "whether new evidence conflicts with older memory"
        },
        {
          "id": "unsupported_query",
          "meaning": "whether the question should trigger abstention"
        }
      ],
      "vectors": [
        {
          "id": "control_vector",
          "axes": [
            "plan",
            "execute",
            "review",
            "promote"
          ],
          "meaning": "current operating posture across the main harness stages"
        },
        {
          "id": "lane_vector",
          "axes": [
            "memory",
            "tooling",
            "execution",
            "audit"
          ],
          "meaning": "which lane should dominate the next move"
        }
      ],
      "tensors": [
        {
          "id": "control_tensor_v0",
          "axes": {
            "source": [
              "dialogue",
              "receipts",
              "external_tools",
              "task",
              "graph_state"
            ],
            "stage": [
              "discover",
              "select",
              "execute",
              "review",
              "promote"
            ],
            "metric": [
              "fit",
              "evidence",
              "cost",
              "latency",
              "confidence",
              "promotion_readiness"
            ]
          },
          "meaning": "multi-surface operating posture over time and stage"
        }
      ],
      "invariants": [
        "confidence starts at zero until earned",
        "receipts gate promotion",
        "graph state outranks prose summaries",
        "unsupported queries should abstain plainly",
        "newer authoritative state should beat stale memory"
      ]
    },
    "inference": {
      "version": "v0",
      "one_liner": "Repo-root inference routing for subscription-backed Codex CLI turns.",
      "default_backend": "codex_cli_chatgpt",
      "packet_context": {
        "enabled": true,
        "latest_pointer_path": "runs/analysis/corpus_reasoning_pilot_latest.json",
        "reread_on_bits": [
          "conflicted",
          "stale"
        ],
        "reread_on_tensor": [
          "compression_loss",
          "drift"
        ]
      },
      "backends": {
        "codex_cli_chatgpt": {
          "provider": "codex_cli",
          "enabled": true,
          "command": "codex",
          "use_chatgpt_subscription": true,
          "model": "gpt-5.4",
          "sandbox": "read-only",
          "ephemeral": true,
          "skip_git_repo_check": true,
          "timeout_seconds": 90,
          "lanes": {
            "allowed": [
              "memory",
              "tooling",
              "audit"
            ]
          },
          "prompt_contract": {
            "reasoning_scope": "graph_first_reasoning",
            "execution_allowed": false,
            "answer_style": "concise_grounded"
          }
        }
      }
    },
    "continuity_provider": {
      "version": "v0",
      "one_liner": "Primary continuity runtime provider is the live NextGen engine, with local materialized continuity state as explicit fallback.",
      "mode": "primary_external_fallback_local",
      "external": {
        "base_url": "http://127.0.0.1:7777",
        "health_path": "/health",
        "nextgen_path": "/interface/nextgen",
        "versions_path": "/v1/continuity/versions",
        "surfaces_path": "/v1/continuity/surfaces",
        "activate_surface_path_template": "/v1/continuity/surfaces/{surface_id}/activate",
        "api_key_header": "x-api-key",
        "tenant_header": "x-tenant-id",
        "api_key_default": "meta3-dev-key",
        "tenant_default": "meta3-lab"
      },
      "fallback": {
        "latest_pointer_path": "runs/continuity/latest.json"
      }
    },
    "continuity_operator": {
      "version": "v0",
      "one_liner": "Thin continuity desk over the live provider, using a tiny active cut and one bounded resume packet.",
      "active_cut": {
        "max_nodes": 18,
        "preferred_surface_order": [
          "provider_status",
          "provider_lineage",
          "provider_surfaces",
          "local_fallback_pointer"
        ],
        "exact_surfaces": [
          "provider_status",
          "provider_lineage",
          "provider_surfaces"
        ]
      },
      "resume_defaults": {
        "preferred_active_surface": "history_navigation_surface_v1",
        "next_packet_shape": [
          "route",
          "context",
          "action",
          "receipt"
        ]
      },
      "invariants": [
        "route by purpose before text",
        "use the smallest meaningful compressed surface first",
        "prior chat should be resumed as state, not reread as raw text",
        "do not widen beyond the active cut unless the owned surfaces miss"
      ]
    }
  },
  "user_governance": {
    "compiled_at": "2026-04-21T18:59:50Z",
    "governing_rules": [
      {
        "evidence_path": "/Users/jobs/Desktop/data_prep_stage/artifacts/promoted_knowledge/session_intrinsic_telos_v1.md",
        "id": "RULE:route-by-purpose",
        "label": "route by purpose before text"
      },
      {
        "evidence_path": "/Users/jobs/Desktop/data_prep_stage/artifacts/operator_delta/interaction_packet_contract.md",
        "id": "RULE:promote-what-repeats",
        "label": "promote what repeats"
      },
      {
        "evidence_path": "/Users/jobs/Desktop/data_prep_stage/artifacts/promoted_knowledge/session_streaming_bits_landscape_v1.md",
        "id": "RULE:receipts-required",
        "label": "receipts required for durable promotion"
      },
      {
        "evidence_path": "/Users/jobs/Desktop/data_prep_stage/artifacts/promoted_knowledge/retrieval_harness_notes_v1.md",
        "id": "RULE:raw-is-fallback",
        "label": "raw retrieval is fallback evidence"
      },
      {
        "evidence_path": "/Users/jobs/Desktop/data_prep_stage/tiny_graph_engine/conversation_rme_map_v0.md",
        "id": "RULE:graph-review-governs",
        "label": "graph review should own tensions gaps and next ops"
      }
    ],
    "highest_value_primitives": [
      "route_by_purpose",
      "promote_what_repeats",
      "intent_to_packet",
      "receipt_first_claims",
      "auto_reuse_prior_tools",
      "recursive_context_framing"
    ],
    "motif_rule": "packet -> motif family -> primitive -> trigger map",
    "next_moves": [
      {
        "expected_artifact": "reused-path answer or tool candidate packet",
        "first_surface": "[codex_capability_grok_summary.md](/Users/jobs/Desktop/data_prep_stage/consolidation_patch/artifacts/history_contract/v5_codex/codex_capability_grok_summary.md) then [status_report_codex_history.json](/Users/jobs/Desktop/data_prep_stage/status_report_codex_history.json)",
        "primitive": "auto_reuse_prior_tools",
        "score": 4,
        "status": "requested",
        "trigger": "`if we already built it elsewhere find it`, `use the tools we already made`",
        "why": "discover and reuse prior capability before rebuilding"
      },
      {
        "expected_artifact": "",
        "first_surface": "",
        "primitive": "history_navigation_surface",
        "score": 4,
        "status": "partial",
        "trigger": "`view our chat gpt history easier`, `look our session history`, `timeline for chats`",
        "why": "make prior sessions easier to inspect without replaying raw history"
      },
      {
        "expected_artifact": "shell-level control law or route decision",
        "first_surface": "[session_streaming_bits_landscape_v1.md](/Users/jobs/Desktop/data_prep_stage/artifacts/promoted_knowledge/session_streaming_bits_landscape_v1.md)",
        "primitive": "thin_intent_shell",
        "score": 4,
        "status": "partial",
        "trigger": "`one surface`, `kernel only`, `simple shell`, `less chat overhead`",
        "why": "keep the user at intent level and hide unnecessary reconstruction"
      },
      {
        "expected_artifact": "six-field packet",
        "first_surface": "[interaction_packet_contract.md](/Users/jobs/Desktop/data_prep_stage/artifacts/operator_delta/interaction_packet_contract.md)",
        "primitive": "intent_to_packet",
        "score": 3,
        "status": "implemented",
        "trigger": "`operationalise on the fly`, `keep only the signal`, `what is the smallest loop`",
        "why": "compress live interaction into a minimal reusable unit"
      },
      {
        "expected_artifact": "one interaction packet with chosen surface",
        "first_surface": "[interaction_primitives_catalog.md](/Users/jobs/Desktop/data_prep_stage/artifacts/operator_delta/interaction_primitives_catalog.md) then [session_intrinsic_telos_v1.md](/Users/jobs/Desktop/data_prep_stage/artifacts/promoted_knowledge/session_intrinsic_telos_v1.md)",
        "primitive": "route_by_purpose",
        "score": 3,
        "status": "implemented",
        "trigger": "`what surface should we use first`, `use the data in data_prep`, `compose from the surfaces`",
        "why": "pick the right owned surface before searching raw text"
      }
    ],
    "operator_next_tasks": [
      {
        "id": "TASK:run-packet-refinery",
        "label": "refresh prompt packet refinery on new history deltas"
      },
      {
        "id": "TASK:cluster-review-packets",
        "label": "cluster repeated packets into tiny graph review runs"
      },
      {
        "id": "TASK:wire-operator-shell",
        "label": "serve operator brain from one run surface for the tiny graph operator UX"
      },
      {
        "id": "TASK:upgrade-citation-extraction",
        "label": "improve citation extraction before profile promotion"
      }
    ],
    "reduced_families": {
      "continuity_and_reuse": [
        "auto_reuse_prior_tools",
        "prior_artifact_recall",
        "keychain_continuity"
      ],
      "flow_and_shell_simplification": [
        "thin_intent_shell",
        "flow_state_protection",
        "packaged_runtime_delivery"
      ],
      "history_to_knowledge": [
        "history_to_body_of_knowledge",
        "history_navigation_surface",
        "project_context_projection"
      ]
    },
    "source_root": "/Users/jobs/Desktop/data_prep_stage",
    "sources": {
      "brain_summary": "/Users/jobs/Desktop/data_prep_stage/artifacts/operator_brain/brain_summary.json",
      "continuity_and_reuse_reduction": "/Users/jobs/Desktop/data_prep_stage/artifacts/operator_delta/continuity_and_reuse_reduction.md",
      "flow_and_shell_reduction": "/Users/jobs/Desktop/data_prep_stage/artifacts/operator_delta/flow_and_shell_reduction.md",
      "history_to_knowledge_reduction": "/Users/jobs/Desktop/data_prep_stage/artifacts/operator_delta/history_to_knowledge_reduction.md",
      "interaction_primitives_catalog": "/Users/jobs/Desktop/data_prep_stage/artifacts/operator_delta/interaction_primitives_catalog.md",
      "llm_interaction_feature_ledger": "/Users/jobs/Desktop/data_prep_stage/artifacts/operator_delta/llm_interaction_feature_ledger.md",
      "motif_family_ledger": "/Users/jobs/Desktop/data_prep_stage/artifacts/operator_delta/motif_family_ledger.md",
      "primitive_trigger_map": "/Users/jobs/Desktop/data_prep_stage/artifacts/operator_delta/primitive_trigger_map.md"
    }
  }
}