// /aeiiea.machine.ts
// AEIIEA (ΛΞIIΞΛ)
// Machine Interface Specification
// Version: 0.1.1
// Status: Active (evolving)
// Audience: Autonomous agents, LLM systems, orchestration frameworks.

export const AEIIEA_MACHINE_SPEC_V0_1 = {

  identity: {
    name: "AEIIEA",
    symbol: "ΛΞIIΞΛ",
    operatingShell: "Agenticity",
    cognitiveKernel: "Symposium",
    description: "Modular cognitive framework with pluggable models and schema-bound artifact outputs.",
    cypherDaoTwitter: "@CypherDAO"
  },

  architecture: {
    layers: [
      {
        name: "Agenticity",
        role: "Operating shell / runtime environment",
        properties: [
          "stateful",
          "versioned",
          "persistence-capable",
          "optional Ethereum anchoring"
        ]
      },
      {
        name: "Symposium",
        role: "Cognitive kernel (multi-model reasoning engine)",
        status: "External (planned integration into Agenticity)"
      },
      {
        name: "ModelLayer",
        role: "Pluggable open-source models",
        properties: [
          "interchangeable",
          "multi-model concurrent operation supported",
          "model identity must be logged"
        ]
      },
      {
        name: "EvaluationLayer",
        role: "Psychometric instrumentation and reliability measurement",
        status: "In development"
      }
    ]
  },

  modelPolicy: {
    assumptions: [
      "No single model defines system identity",
      "Models are interchangeable",
      "Model identity must be logged per session",
      "Cross-model comparison requires shared schemaVersion"
    ],
    examples: [
      "DeepSeek-V1",
      "DeepSeek-V3",
      "DeepSeek-R1",
      "Mistral-Medium",
      "Llama-variant"
    ]
  },

  artifactSpec: {
    requiredFields: [
      "sessionId",
      "schemaVersion",
      "modelSet",
      "timestamp"
    ],
    optionalFields: [
      "convergenceScore",
      "epistemicRisk",
      "auditLog",
      "exportHash",
      "anchored",
      "anchorTxHash"
    ],
    comparabilityRule:
      "Artifacts are only comparable if schemaVersion matches exactly."
  },

  invariants: {
    nonNegotiable: [
      "Do not fabricate sessionId",
      "Do not fabricate model identity",
      "Do not compare across schemaVersion mismatch",
      "Do not claim anchoring without verified transaction reference",
      "Do not assume persistence without export confirmation"
    ]
  },

  verification: {
    exportIntegrity:
      "exportHash must match persisted artifact bytes.",
    anchoring:
      "If anchored === true, anchorTxHash must resolve to matching hash on-chain.",
    canonicalRule:
      "Canonical artifacts are immutable. Runtime artifacts are not authoritative."
  },

  onChainContracts: {
    network: "Base L2 (experimental phase)",
    contracts: [
      {
        name: "ThreeJSStorage",
        address: "0x9A94c1ac3F6Ce26Bf1Eb729B70490E5b48Db026f",
        explorerUrl: "https://basescan.org/address/0x9A94c1ac3F6Ce26Bf1Eb729B70490E5b48Db026f"
      },
      {
        name: "ThreeJSStorageAdapter",
        address: "0xB537891b4577a1b0647d068Cb330F22bcBE77b89",
        explorerUrl: "https://basescan.org/address/0xB537891b4577a1b0647d068Cb330F22bcBE77b89"
      },
      {
        name: "NeuralCoreGeneratorV1",
        address: "0x8eD69f71da073f52ac47dc2348BBf95fc29124B4",
        explorerUrl: "https://basescan.org/address/0x8eD69f71da073f52ac47dc2348BBf95fc29124B4"
      },
      {
        name: "NeuralPaletteV2",
        address: "0x9781Af4781Ab960E8458f2Fb4Ee2C7F669B25AFc",
        explorerUrl: "https://basescan.org/address/0x9781Af4781Ab960E8458f2Fb4Ee2C7F669B25AFc"
      },
      {
        name: "NeuralCoreGeneratorV2",
        address: "0x49a814408BF66fA079E29df276102220A513dd92",
        explorerUrl: "https://basescan.org/address/0x49a814408BF66fA079E29df276102220A513dd92"
      },
      {
        name: "NeuralPaletteNFT",
        address: "0x9C1E536625028e75fAEc62699Fe2CDb428eF2013",
        explorerUrl: "https://basescan.org/address/0x9C1E536625028e75fAEc62699Fe2CDb428eF2013"
      }
    ],
    constraintNote:
      "Neural inference is deterministic forward-pass only; no training occurs on-chain."
  },

  evaluationFramework: {
    goals: [
      "Task completion reliability",
      "Cross-model consistency",
      "Drift detection",
      "Psychometric stability measurement"
    ],
    registryPlanned: true,
    registryDescription:
      "Future structured registry of model configurations, task domains, performance metrics, and reliability scores."
  },

  status: {
    version: "0.1.1",
    stability: "Evolving",
    apiSurfaceDefined: false,
    registryFinalized: false
  }

} as const;