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i < n; i++) if (ab[i] !== bb[i]) return ab[i] - bb[i];\n return ab.length - bb.length;\n}\nfunction sortDedup(arr: string[]): string[] {\n return [...new Set(arr)].sort(utf8Compare);\n}\nfunction isSafeUint(v: unknown): v is number {\n return typeof v === \"number\" && Number.isSafeInteger(v) && v >= 0;\n}\nfunction isPosSafeInt(v: unknown): v is number {\n return typeof v === \"number\" && Number.isSafeInteger(v) && v > 0;\n}\nfunction isFiniteNum(v: unknown): v is number {\n return typeof v === \"number\" && Number.isFinite(v);\n}\nfunction isStr(v: unknown): v is string {\n return typeof v === \"string\";\n}\nconst HEX40 = /^[0-9a-f]{40}$/;\nconst HEX64 = /^[0-9a-f]{64}$/;\n\n// ---------- choose ----------\nconst PRIORITY = [\"prompt_only\", \"retrieval\", \"lora\", \"qlora\"];\n\nfunction choose(body: any) {\n const policy = body.policy;\n if (\n !policy || typeof policy !== \"object\" ||\n !isFiniteNum(policy.minQuality) || policy.minQuality < 0 || policy.minQuality > 1 ||\n typeof policy.freshnessRequired !== \"boolean\" ||\n !isFiniteNum(policy.maxLatencyMs) || policy.maxLatencyMs < 0 ||\n !isFiniteNum(policy.maxMemoryMb) || policy.maxMemoryMb < 0 ||\n !isSafeUint(policy.maxLabeledExamples) ||\n !isFiniteNum(policy.maxTotalCost) || policy.maxTotalCost < 0 ||\n !isSafeUint(policy.horizonRequests) ||\n !Array.isArray(body.candidates)\n ) {\n return { selected: null, eligible: [], totalCosts: {}, reasonCodes: [\"INVALID_INPUT\"] };\n }\n const p = policy;\n const byName = new Map();\n for (const c of body.candidates) {\n if (!c || typeof c !== \"object\" || !isStr(c.name)) {\n return { selected: null, eligible: [], totalCosts: {}, reasonCodes: [\"INVALID_INPUT\"] };\n }\n byName.set(c.name, c);\n }\n const totalCosts: Record = {};\n const reasonCodes = new Set();\n const eligible: string[] = [];\n\n for (const name of PRIORITY) {\n const c = byName.get(name);\n if (!c) continue; // only supplied candidates are evaluated\n const valid =\n typeof c.available === \"boolean\" &&\n isFiniteNum(c.quality) && c.quality >= 0 && c.quality <= 1 &&\n typeof c.freshness === \"boolean\" &&\n isFiniteNum(c.latencyMs) && c.latencyMs >= 0 &&\n isFiniteNum(c.memoryMb) && c.memoryMb >= 0 &&\n isSafeUint(c.labeledExamples) &&\n isFiniteNum(c.oneTimeCost) && c.oneTimeCost >= 0 &&\n isFiniteNum(c.recurringCost) && c.recurringCost >= 0;\n if (!valid) {\n reasonCodes.add(\"INVALID_INPUT\");\n totalCosts[name] = null;\n continue;\n }\n const cost = Math.round((c.oneTimeCost + p.horizonRequests * c.recurringCost) * 1e12) / 1e12;\n totalCosts[name] = cost;\n if (!c.available) { reasonCodes.add(\"UNAVAILABLE\"); continue; }\n if (c.quality < p.minQuality) { reasonCodes.add(\"QUALITY_FLOOR\"); continue; }\n if (p.freshnessRequired && !c.freshness) { reasonCodes.add(\"FRESHNESS_REQUIRED\"); continue; }\n if (c.latencyMs > p.maxLatencyMs) { reasonCodes.add(\"LATENCY_LIMIT\"); continue; }\n if (c.memoryMb > p.maxMemoryMb) { reasonCodes.add(\"MEMORY_LIMIT\"); continue; }\n if (c.labeledExamples > p.maxLabeledExamples) { reasonCodes.add(\"DATA_LIMIT\"); continue; }\n if (cost > p.maxTotalCost) { reasonCodes.add(\"COST_LIMIT\"); continue; }\n eligible.push(name);\n }\n return {\n selected: eligible.length > 0 ? eligible[0] : null,\n eligible,\n totalCosts,\n reasonCodes: sortDedup([...reasonCodes]),\n };\n}\n\n// ---------- repair ----------\nfunction repair(body: any) {\n const r: any = {\n labels: [],\n templatePass: true,\n trainableParams: [],\n trainableCount: 0,\n peftConfigPass: true,\n adapterFiles: [\"adapter_config.json\", \"adapter_model.safetensors\"],\n checkpointComplete: true,\n lineagePass: true,\n evalIsolated: true,\n evaluationDeterministic: true,\n resumePass: true,\n };\n const codes = new Set();\n\n // tokens -> assistant-only loss mask\n const tokens = body.tokens;\n let tokensOk = Array.isArray(tokens) && tokens.length > 0;\n if (tokensOk) {\n for (const t of tokens) {\n if (!t || typeof t !== \"object\" || !isSafeUint(t.id) ||\n (t.role !== \"system\" && t.role !== \"user\" && t.role !== \"assistant\") ||\n typeof t.padding !== \"boolean\" || typeof t.text !== \"string\") {\n tokensOk = false;\n break;\n }\n }\n }\n if (tokensOk) {\n r.labels = tokens.map((t: any) =>\n t.role === \"assistant\" && !t.padding ? t.id : -100\n );\n } else {\n codes.add(\"INVALID_TOKEN\");\n r.labels = Array.isArray(tokens) ? tokens.map(() => -100) : [];\n }\n\n // chat template: exactly one application\n if (body.templateApplications !== 1) {\n codes.add(\"CHAT_TEMPLATE_COUNT\");\n r.templatePass = false;\n }\n\n // parameters / LoRA targets\n const params = body.parameters;\n const allowed = body.allowedTargets;\n const allowedOk = Array.isArray(allowed) && allowed.length > 0 &&\n allowed.every(isStr) && new Set(allowed).size === allowed.length;\n let paramsOk = Array.isArray(params) && allowedOk;\n if (paramsOk) {\n const names = new Set();\n for (const pm of params) {\n if (!pm || typeof pm !== \"object\" || !isStr(pm.name) || !isStr(pm.target) ||\n !isPosSafeInt(pm.numel) || names.has(pm.name)) {\n paramsOk = false;\n break;\n }\n names.add(pm.name);\n }\n }\n if (!paramsOk) codes.add(\"INVALID_PARAMETER\");\n\n const trainable: string[] = [];\n let allowedTargetParam = false;\n let sum = 0;\n if (paramsOk) {\n for (const pm of params) {\n if (allowed.includes(pm.target)) {\n allowedTargetParam = true;\n if (pm.name.endsWith(\".lora_A.weight\") || pm.name.endsWith(\".lora_B.weight\")) {\n trainable.push(pm.name);\n sum += pm.numel;\n }\n }\n }\n if (!Number.isSafeInteger(sum)) {\n codes.add(\"INVALID_PARAMETER\");\n trainable.length = 0;\n }\n r.trainableParams = sortDedup(trainable);\n r.trainableCount = r.trainableParams.length;\n }\n if (paramsOk && (r.trainableParams.length === 0 || !allowedTargetParam)) {\n codes.add(\"FULL_MODEL_ARTIFACT\");\n r.peftConfigPass = false;\n }\n\n // inference mode\n if (body.inferenceMode !== false) {\n codes.add(\"INFERENCE_MODE\");\n r.peftConfigPass = false;\n r.evaluationDeterministic = false;\n }\n\n // eval isolation\n const trainIds = body.trainRowIds, evalIds = body.evalRowIds;\n const idsOk = (a: unknown) =>\n Array.isArray(a) && a.length > 0 && a.every(isStr) && new Set(a).size === a.length;\n if (!idsOk(trainIds) || !idsOk(evalIds) ||\n evalIds.some((e: string) => new Set(trainIds).has(e))) {\n codes.add(\"EVAL_LEAKAGE\");\n r.evalIsolated = false;\n }\n\n // dropout during eval\n if (body.dropoutActiveDuringEval === true) {\n codes.add(\"EVAL_DROPOUT_ACTIVE\");\n r.evaluationDeterministic = false;\n }\n\n // adapter files: exactly the two, once each\n const expected = [\"adapter_config.json\", \"adapter_model.safetensors\"];\n const files = body.artifactFiles;\n const filesOk = Array.isArray(files) &&\n files.length === expected.length &&\n sortDedup(files).join(\"|\") === expected.join(\"|\");\n if (!filesOk) codes.add(\"ADAPTER_FILE_SET\");\n r.adapterFiles = expected.slice(); // already sorted\n\n // lineage\n const ed = (body.expectedDigests && typeof body.expectedDigests === \"object\" &&\n !Array.isArray(body.expectedDigests)) ? body.expectedDigests : {};\n if (typeof body.baseRevision !== \"string\" || !HEX40.test(body.baseRevision)) {\n codes.add(\"MUTABLE_BASE_REVISION\");\n r.lineagePass = false;\n }\n for (const k of [\"datasetDigest\", \"codeDigest\", \"configDigest\"]) {\n const v = body[k];\n const ek = k.replace(\"Digest\", \"\");\n if (typeof v !== \"string\" || !HEX64.test(v) || v.length === 0 ||\n (isStr(ed[ek]) && ed[ek] !== v)) {\n codes.add(\"LINEAGE_MISMATCH\");\n r.lineagePass = false;\n }\n }\n\n // effective batch\n const { microBatch, gradientAccumulation, replicas, expectedEffectiveBatch } = body;\n if (!isPosSafeInt(microBatch) || !isPosSafeInt(gradientAccumulation) ||\n !isPosSafeInt(replicas) || !isPosSafeInt(expectedEffectiveBatch) ||\n microBatch * gradientAccumulation * replicas !== expectedEffectiveBatch) {\n codes.add(\"EFFECTIVE_BATCH_MISMATCH\");\n }\n\n // checkpoint completeness\n const ck = body.checkpoint;\n const needKeys = [\"model\", \"optimizer\", \"scheduler\", \"step\", \"rng\", \"dataPosition\"];\n const ckOk = ck && typeof ck === \"object\" && !Array.isArray(ck) &&\n needKeys.every((k) => k in ck && ck[k] !== undefined && ck[k] !== null);\n if (!ckOk) {\n codes.add(\"INCOMPLETE_CHECKPOINT\");\n r.checkpointComplete = false;\n }\n\n // resume divergence\n const u = body.uninterruptedWeights, w = body.resumedWeights, tol = body.resumeTolerance;\n const arrOk = (a: unknown) => Array.isArray(a) && a.length > 0 && a.every(isFiniteNum);\n if (!arrOk(u) || !arrOk(w) || !isFiniteNum(tol) || tol < 0 || u.length !== w.length) {\n codes.add(\"RESUME_DIVERGENCE\");\n r.resumePass = false;\n } else {\n for (let i = 0; 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