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| // SPDX-License-Identifier: Apache-2.0 | |
| // © 2026 Lutar, Stephen P. — SZL Holdings | |
| // ORCID: 0009-0001-0110-4173 | |
| // | |
| // Layer 6 — a11oy policy gate for DeterministicReplay (A5) | |
| // | |
| // Policy rationale: | |
| // For canonical JSON + pinned PRNG + frozen registry, 5× replay must yield | |
| // byte-identical Merkle roots. This gate validates that a submitted replay | |
| // bundle reports the same root across all runs — enforcing determinism as | |
| // a first-class policy property before admitting any production operation. | |
| // | |
| // Lean axiom cited: `deterministicReplay` (A5) | |
| // Lean file: Lutar/Gate/DeterministicReplay.lean | |
| // Lean commit SHA: 1dca00032dfc9aa8559cc6c2e4b63192fcf52371 | |
| // Lean status: theorem (ENFORCED) | |
| // | |
| // Policy: if all replay roots are byte-identical → allow; else → deny | |
| // | |
| // References: | |
| // Zenodo: https://doi.org/10.5281/zenodo.20119582 | |
| // Thesis §4.6: deterministicReplay axiom | |
| export interface DeterministicReplayGateConfig { | |
| /** Required number of replay runs. Default: 5. */ | |
| requiredRuns?: number; | |
| } | |
| export interface DeterministicReplayGateOpts { | |
| /** Array of Merkle root hex strings from N replay runs. */ | |
| replayRoots: string[]; | |
| } | |
| export interface DeterministicReplayDecision { | |
| allow: boolean; | |
| rationale: string; | |
| formula: string; | |
| leanTheorem: string; | |
| leanFile: string; | |
| leanCommitSha: string; | |
| requiredRuns: number; | |
| actualRuns: number; | |
| uniqueRoots: number; | |
| canonicalRoot: string; | |
| lambdaScore: number; | |
| } | |
| const LEAN_THEOREM = "deterministicReplay"; | |
| const LEAN_FILE = "Lutar/Gate/DeterministicReplay.lean"; | |
| const LEAN_COMMIT = "1dca00032dfc9aa8559cc6c2e4b63192fcf52371"; | |
| const DEFAULT_RUNS = 5; | |
| // ── Inline formula ──────────────────────────────────────────────────────────── | |
| // A5: ∀i ∈ {1..5}: root_i = canonical ⟺ canonical JSON ∧ pinned PRNG ∧ frozen registry | |
| /** | |
| * DeterministicReplay (A5) policy gate. | |
| * | |
| * Validates that N replay runs produce byte-identical Merkle roots. | |
| * Accepts only if the run count meets the requirement and all roots | |
| * are identical. | |
| * | |
| * Lean axiom: `deterministicReplay` (A5) | |
| * Lean file: Lutar/Gate/DeterministicReplay.lean (commit 1dca00032dfc9aa8559cc6c2e4b63192fcf52371) | |
| * Zenodo: https://doi.org/10.5281/zenodo.20119582 | |
| */ | |
| export function deterministicReplayGate( | |
| config: DeterministicReplayGateConfig = {} | |
| ): (opts: DeterministicReplayGateOpts) => DeterministicReplayDecision { | |
| const requiredRuns = config.requiredRuns ?? DEFAULT_RUNS; | |
| if (!Number.isInteger(requiredRuns) || requiredRuns < 1) { | |
| throw new Error(`DeterministicReplayGate: requiredRuns must be ≥ 1; got ${requiredRuns}`); | |
| } | |
| return function gate(opts: DeterministicReplayGateOpts): DeterministicReplayDecision { | |
| const { replayRoots } = opts; | |
| if (!Array.isArray(replayRoots) || replayRoots.length < requiredRuns) { | |
| throw new Error(`DeterministicReplayGate: need ${requiredRuns} roots; got ${replayRoots?.length}`); | |
| } | |
| for (const r of replayRoots) { | |
| if (typeof r !== 'string' || r.length === 0) { | |
| throw new Error(`DeterministicReplayGate: each root must be a non-empty string`); | |
| } | |
| } | |
| const uniqueSet = new Set(replayRoots.slice(0, requiredRuns)); | |
| const uniqueRoots = uniqueSet.size; | |
| const canonicalRoot = replayRoots[0]; | |
| const allow = uniqueRoots === 1; | |
| const lambdaScore = allow ? 1.0 : 1.0 / uniqueRoots; | |
| const rationale = allow | |
| ? `DeterministicReplay (A5): ${requiredRuns} runs → 1 unique root "${canonicalRoot.slice(0, 16)}…". Byte-identical replay confirmed. Passes. Lean: ${LEAN_THEOREM} @${LEAN_COMMIT.slice(0, 12)}` | |
| : `DeterministicReplay (A5): ${requiredRuns} runs → ${uniqueRoots} distinct roots — non-determinism detected. Denied. Lean: ${LEAN_THEOREM} @${LEAN_COMMIT.slice(0, 12)}`; | |
| return { allow, rationale, formula: "DeterministicReplay", leanTheorem: LEAN_THEOREM, leanFile: LEAN_FILE, leanCommitSha: LEAN_COMMIT, requiredRuns, actualRuns: replayRoots.length, uniqueRoots, canonicalRoot, lambdaScore }; | |
| }; | |
| } | |