arifOS Constitutional Kernel

{
  "name": "arifOS Constitutional Kernel",
  "description": "Constitutionally-governed sovereign AI kernel with 13 floors (F1-F13), 6-axis orthogonal routing (P/T/V/G/E/M), G02 Layered Router, event-sourced metabolism, and VAULT999 cryptographic sealing. A2A connects minds. MCP connects hands. arifOS governs both.",
  "url": "http://a-forge-arifos-mcp:8080",
  "external_url": "https://arifosmcp.arif-fazil.com",
  "version": "2026.04.17-V2",
  "protocol_version": "A2A/1.0",
  "authentication": {
    "schemes": [
      "api_key",
      "bearer"
    ],
    "credentials": null,
    "note": "OPERATOR_API_TOKEN required for human-expert and operator endpoints"
  },
  "capabilities": {
    "streaming": true,
    "pushNotifications": false,
    "stateTransitionHistory": true,
    "sealVerification": true,
    "orthogonalRouting": true,
    "humanVeto": true,
    "eventSourcing": true,
    "thermodynamicCostTracking": true
  },
  "routing": {
    "entry_point": "arifos_kernel",
    "layers": [
      "L1_AXIS_CLASSIFY",
      "L2_CALL_GRAPH_ENFORCE",
      "L3_PRECONDITION_GATE"
    ],
    "execution_requires_seal": true,
    "seal_verdict": "SEAL",
    "hold_verdict": "HOLD",
    "void_verdict": "VOID"
  },
  "constitutional": {
    "constitutional_floors": 13,
    "floors_active": [
      "F1_AMANAH",
      "F3_INPUT_CLARITY",
      "F4_ENTROPY",
      "F6_HARM_DIGNITY",
      "F7_CONFIDENCE",
      "F8_GROUNDING",
      "F9_INJECTION",
      "F11_COHERENCE",
      "F13_SOVEREIGN"
    ],
    "trinity": "\u0394\u03a9\u03a8",
    "motto": "Ditempa Bukan Diberi \u2014 Forged, Not Given",
    "omega_ortho_threshold": 0.85,
    "well_gate_active": true,
    "vault_protocol": "VAULT999",
    "seal_chain": "Merkle-rooted SHA256 hash chain"
  },
  "skills": [
    {
      "agent_id": "P01",
      "axis": "P",
      "name": "WELL State Reader",
      "description": "Read current human substrate state (cognitive fatigue, stress, clarity)",
      "operation_class": "READ",
      "tool_name": "well_state",
      "mcp_endpoint": "https://afwell.fastmcp.app/mcp",
      "requires_seal": false,
      "risk_tier": "low",
      "tags": [
        "perception",
        "wellness",
        "human-state"
      ],
      "examples": [
        "what is current operator fatigue?",
        "load wellness state"
      ]
    },
    {
      "agent_id": "P02",
      "axis": "P",
      "name": "WELL Readiness Reflector",
      "description": "Reflect operator readiness and cognitive load for governance decisions",
      "operation_class": "READ",
      "tool_name": "well_readiness",
      "mcp_endpoint": "https://afwell.fastmcp.app/mcp",
      "requires_seal": false,
      "risk_tier": "low",
      "tags": [
        "perception",
        "readiness",
        "human-factor"
      ],
      "examples": []
    },
    {
      "agent_id": "P03",
      "axis": "P",
      "name": "GEOX Reality Fetcher",
      "description": "Fetch earth/physical state from GEOX organ",
      "operation_class": "READ",
      "tool_name": "geo_snapshot",
      "mcp_endpoint": "https://geoxarifOS.fastmcp.app/mcp",
      "requires_seal": false,
      "risk_tier": "low",
      "tags": [
        "perception",
        "geophysics",
        "earth-state"
      ],
      "examples": [
        "what is current geological state?",
        "fetch spatial context"
      ]
    },
    {
      "agent_id": "P04",
      "axis": "P",
      "name": "Vault Ledger Reader",
      "description": "Read immutable VAULT999 ledger for audit and traceability",
      "operation_class": "READ",
      "tool_name": "arifos_vault",
      "mcp_endpoint": null,
      "requires_seal": false,
      "risk_tier": "low",
      "tags": [
        "perception",
        "vault",
        "audit"
      ],
      "examples": []
    },
    {
      "agent_id": "T01",
      "axis": "T",
      "name": "Petrophysics Engine",
      "description": "Compute petrophysical properties (porosity, saturation, permeability)",
      "operation_class": "COMPUTE",
      "tool_name": "geox_well_compute_petrophysics",
      "mcp_endpoint": "https://geoxarifOS.fastmcp.app/mcp",
      "requires_seal": false,
      "risk_tier": "medium",
      "tags": [
        "transformation",
        "physics",
        "reservoir"
      ],
      "examples": []
    },
    {
      "agent_id": "T02",
      "axis": "T",
      "name": "Monte Carlo Simulator",
      "description": "Run stochastic simulation for economic scenarios",
      "operation_class": "COMPUTE",
      "tool_name": "wealth_monte_carlo_forecast",
      "mcp_endpoint": null,
      "requires_seal": false,
      "risk_tier": "medium",
      "tags": [
        "transformation",
        "simulation",
        "economics"
      ],
      "examples": []
    },
    {
      "agent_id": "T03",
      "axis": "T",
      "name": "IRR/MIRR Calculator",
      "description": "Compute internal rate of return and modified rate of return",
      "operation_class": "COMPUTE",
      "tool_name": "wealth_wealth_irr_yield",
      "mcp_endpoint": null,
      "requires_seal": false,
      "risk_tier": "medium",
      "tags": [
        "transformation",
        "finance",
        "yield"
      ],
      "examples": []
    },
    {
      "agent_id": "T04",
      "axis": "T",
      "name": "Seismic Horizon Picker",
      "description": "Process seismic data and pick geological horizons",
      "operation_class": "COMPUTE",
      "tool_name": "geox_prospect_evaluate",
      "mcp_endpoint": "https://geoxarifOS.fastmcp.app/mcp",
      "requires_seal": false,
      "risk_tier": "high",
      "tags": [
        "transformation",
        "geophysics",
        "seismic"
      ],
      "examples": []
    },
    {
      "agent_id": "V01",
      "axis": "V",
      "name": "NPV Evaluator",
      "description": "Compute net present value of investment scenarios",
      "operation_class": "VALUE",
      "tool_name": "wealth_wealth_npv_reward",
      "mcp_endpoint": null,
      "requires_seal": false,
      "risk_tier": "medium",
      "tags": [
        "valuation",
        "finance",
        "investment"
      ],
      "examples": []
    },
    {
      "agent_id": "V02",
      "axis": "V",
      "name": "EMV Risk Evaluator",
      "description": "Compute expected monetary value under uncertainty",
      "operation_class": "VALUE",
      "tool_name": "wealth_emv_evaluator",
      "mcp_endpoint": null,
      "requires_seal": false,
      "risk_tier": "medium",
      "tags": [
        "valuation",
        "risk",
        "probability"
      ],
      "examples": []
    },
    {
      "agent_id": "V03",
      "axis": "V",
      "name": "Allocation Score Kernel",
      "description": "Rank capital allocation options by constitutional utility",
      "operation_class": "VALUE",
      "tool_name": "wealth_allocation_score",
      "mcp_endpoint": null,
      "requires_seal": false,
      "risk_tier": "high",
      "tags": [
        "valuation",
        "allocation",
        "ranking"
      ],
      "examples": []
    },
    {
      "agent_id": "G01",
      "axis": "G",
      "name": "Session Initializer",
      "description": "Initialize constitutional session with actor identity and intent",
      "operation_class": "GATE",
      "tool_name": "arifos_init",
      "mcp_endpoint": null,
      "requires_seal": false,
      "risk_tier": "medium",
      "tags": [
        "governance",
        "session",
        "identity"
      ],
      "examples": []
    },
    {
      "agent_id": "G02",
      "axis": "G",
      "name": "Layered Router",
      "description": "Route requests through 3-layer enforcement: classify, call-graph, precondition",
      "operation_class": "GATE",
      "tool_name": "arifos_kernel",
      "mcp_endpoint": null,
      "requires_seal": false,
      "risk_tier": "high",
      "tags": [
        "governance",
        "routing",
        "constitutional"
      ],
      "examples": [
        "route query through constitutional layers"
      ]
    },
    {
      "agent_id": "G03",
      "axis": "G",
      "name": "Constitutional Mind",
      "description": "Structured reasoning with assumption registry and uncertainty bands",
      "operation_class": "GATE",
      "tool_name": "arifos_mind",
      "mcp_endpoint": null,
      "requires_seal": false,
      "risk_tier": "medium",
      "tags": [
        "governance",
        "reasoning",
        "cognition"
      ],
      "examples": []
    },
    {
      "agent_id": "G04",
      "axis": "G",
      "name": "Ethical Heart",
      "description": "Red-team simulation for harm, dignity, and systemic amplification",
      "operation_class": "GATE",
      "tool_name": "arifos_heart",
      "mcp_endpoint": null,
      "requires_seal": false,
      "risk_tier": "medium",
      "tags": [
        "governance",
        "ethics",
        "safety"
      ],
      "examples": []
    },
    {
      "agent_id": "G05",
      "axis": "G",
      "name": "Final Judge",
      "description": "Issue SEAL/HOLD/VOID/SABAR verdicts with floor trace and state hash",
      "operation_class": "GATE",
      "tool_name": "arifos_judge",
      "mcp_endpoint": null,
      "requires_seal": false,
      "risk_tier": "high",
      "tags": [
        "governance",
        "judgment",
        "verdict"
      ],
      "examples": []
    },
    {
      "agent_id": "G06",
      "axis": "G",
      "name": "Orthogonality Guard",
      "description": "Monitor cross-organ correlation and enforce epistemic boundaries",
      "operation_class": "GATE",
      "tool_name": "arifos_gateway",
      "mcp_endpoint": null,
      "requires_seal": false,
      "risk_tier": "medium",
      "tags": [
        "governance",
        "orthogonality",
        "correlation"
      ],
      "examples": []
    },
    {
      "agent_id": "E01",
      "axis": "E",
      "name": "Forge Bridge",
      "description": "Execute state mutation after G05 SEAL verification",
      "operation_class": "MUTATE",
      "tool_name": "arifos_forge",
      "mcp_endpoint": null,
      "requires_seal": true,
      "risk_tier": "critical",
      "tags": [
        "execution",
        "forge",
        "state-mutation"
      ],
      "examples": []
    },
    {
      "agent_id": "E02",
      "axis": "E",
      "name": "Vault Sealer",
      "description": "Append immutable record to VAULT999 ledger",
      "operation_class": "MUTATE",
      "tool_name": "vault_seal",
      "mcp_endpoint": null,
      "requires_seal": true,
      "risk_tier": "high",
      "tags": [
        "execution",
        "vault",
        "immutable"
      ],
      "examples": []
    },
    {
      "agent_id": "E03",
      "axis": "E",
      "name": "Memory Store",
      "description": "Write to governed memory with constitutional constraints",
      "operation_class": "MUTATE",
      "tool_name": "arifos_memory",
      "mcp_endpoint": null,
      "requires_seal": true,
      "risk_tier": "medium",
      "tags": [
        "execution",
        "memory",
        "state"
      ],
      "examples": []
    },
    {
      "agent_id": "M01",
      "axis": "M",
      "name": "Correlation Auditor",
      "description": "Compute \u03a9_ortho from agent output correlation matrix",
      "operation_class": "META",
      "tool_name": "correlation_audit",
      "mcp_endpoint": null,
      "requires_seal": false,
      "risk_tier": "low",
      "tags": [
        "meta",
        "orthogonality",
        "audit"
      ],
      "examples": []
    },
    {
      "agent_id": "M02",
      "axis": "M",
      "name": "Skill Discovery",
      "description": "Discover and register agent capabilities in the federation",
      "operation_class": "META",
      "tool_name": "skill_discovery",
      "mcp_endpoint": null,
      "requires_seal": false,
      "risk_tier": "low",
      "tags": [
        "meta",
        "discovery",
        "registry"
      ],
      "examples": []
    },
    {
      "agent_id": "M03",
      "axis": "M",
      "name": "Metabolic Monitor",
      "description": "Monitor system health, floor violations, and governance telemetry",
      "operation_class": "META",
      "tool_name": "metabolic_monitor",
      "mcp_endpoint": null,
      "requires_seal": false,
      "risk_tier": "low",
      "tags": [
        "meta",
        "monitoring",
        "health"
      ],
      "examples": []
    }
  ],
  "endpoints": {
    "task": "/a2a/task",
    "status": "/a2a/status",
    "cancel": "/a2a/cancel",
    "subscribe": "/a2a/subscribe",
    "seal_verify": "/seal/verify",
    "well_state": "/well/state",
    "orthogonality": "/meta/omega"
  },
  "metabolic_stages": [],
  "axes": {
    "P_PERCEPTION": 4,
    "T_TRANSFORMATION": 4,
    "V_VALUATION": 3,
    "G_GOVERNANCE": 6,
    "E_EXECUTION": 3,
    "M_META_COGNITION": 3
  },
  "total_agents": 23,
  "well_known_path": "/.well-known/agent-card.json",
  "agent_card_path": "/agent-card"
}