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No IO, no state — everything here is a function of its\n// arguments so the premium shown on the dashboard is always reproducible from\n// the quote row. All data is invented for the demo.\n\nexport type CoverageLevel = \"state-minimum\" | \"recommended\" | \"full\";\nexport type Discount = \"multi-policy\" | \"telematics\" | \"paid-in-full\";\n\nexport type Driver = {\n name: string;\n age: number;\n yearsLicensed: number;\n incidents: number;\n};\n\nexport type Quote = {\n caseId: string;\n phone: string;\n firstName: string;\n lastName: string;\n state: string;\n city: string;\n vehicle: string;\n abandonedAtStep: string;\n abandonedMinutesAgo: number;\n coverageLevel: CoverageLevel;\n drivers: Driver[];\n discounts: Discount[];\n};\n\nconst BASE_PREMIUM = 1842;\nconst ADDITIONAL_DRIVER_SURCHARGE = 168;\nconst INCIDENT_SURCHARGE = 240;\n\nconst COVERAGE_SURCHARGE: Record = {\n \"state-minimum\": 0,\n recommended: 186,\n full: 402,\n};\n\nexport const COVERAGE_LABEL: Record = {\n \"state-minimum\":\n \"State minimum, 20/40 bodily injury and 5,000 property damage\",\n recommended:\n \"Recommended, 100/300 bodily injury and 100,000 property damage\",\n full:\n \"Full, 250/500 bodily injury with comprehensive and collision at a 500 dollar deductible\",\n};\n\nconst DISCOUNT_RATE: Record = {\n \"multi-policy\": 0.12,\n telematics: 0.08,\n \"paid-in-full\": 0.05,\n};\n\nexport const DISCOUNT_LABEL: Record = {\n \"multi-policy\": \"Multi-policy, for bundling home and auto\",\n telematics: \"Road Rewards, for sharing driving data\",\n \"paid-in-full\": \"Paid in full, for paying the six months up front\",\n};\n\nexport const SEED_QUOTE: Quote = {\n caseId: \"PR-2026-0914-8842\",\n phone: \"+16175550142\",\n firstName: \"Melissa\",\n lastName: \"Grant\",\n state: \"MA\",\n city: \"Quincy\",\n vehicle: \"2021 Honda CR-V EX\",\n abandonedAtStep: \"additional drivers\",\n abandonedMinutesAgo: 4,\n coverageLevel: \"state-minimum\",\n drivers: [{ name: \"Melissa Grant\", age: 38, yearsLicensed: 20, incidents: 0 }],\n discounts: [],\n};\n\nexport function premiumCalculate(quote: Quote): number {\n const additional = quote.drivers.slice(1);\n const driverCost = additional.reduce(\n (sum, d) => sum + ADDITIONAL_DRIVER_SURCHARGE + d.incidents * INCIDENT_SURCHARGE,\n 0,\n );\n const gross =\n BASE_PREMIUM + COVERAGE_SURCHARGE[quote.coverageLevel] + driverCost;\n const rate = quote.discounts.reduce((sum, d) => sum + DISCOUNT_RATE[d], 0);\n return Math.round(gross * (1 - rate));\n}\n\nexport type RateChange = {\n coverageLevel?: CoverageLevel;\n addDriver?: Driver;\n addDiscounts?: Discount[];\n};\n\nexport function quoteApply(quote: Quote, change: RateChange): Quote {\n const next: Quote = structuredClone(quote);\n if (change.coverageLevel) next.coverageLevel = change.coverageLevel;\n if (change.addDriver) {\n const dup = next.drivers.some(\n (d) => d.name.toLowerCase() === change.addDriver!.name.toLowerCase(),\n );\n if (!dup) next.drivers.push(change.addDriver);\n }\n for (const d of change.addDiscounts ?? []) {\n if (!next.discounts.includes(d)) next.discounts.push(d);\n }\n return next;\n}\n\n// ---- coverage explanations ----\n\nconst EXPLANATIONS: Record = {\n \"bodily-injury\":\n \"Bodily injury liability pays the other person's medical bills if you cause a crash. The two numbers are the most it pays per person and per accident. Massachusetts only requires twenty and forty thousand, which is low enough that a single hospital stay can pass it.\",\n \"property-damage\":\n \"Property damage liability pays to repair what you hit, usually the other car. The state minimum is five thousand dollars, and the average new car repair runs well past that.\",\n collision:\n \"Collision pays to repair your own car after a crash, no matter who caused it. It is optional unless you have a loan or a lease.\",\n comprehensive:\n \"Comprehensive covers your car for things that are not a crash: theft, hail, flood, a deer, a cracked windshield.\",\n deductible:\n \"The deductible is what you pay before coverage starts. A five hundred dollar deductible on a two thousand dollar repair means you pay five hundred and we pay the rest. A higher deductible lowers your premium.\",\n \"uninsured-motorist\":\n \"Uninsured motorist coverage pays your bills when the driver who hit you has no insurance or not enough of it. In Massachusetts it is required at the same twenty and forty minimum.\",\n limits:\n \"Limits are the ceilings on what a policy pays. Written as a hundred over three hundred, that is a hundred thousand per injured person and three hundred thousand for the whole accident.\",\n \"additional-driver\":\n \"Anyone in the household who drives the car regularly should be listed, including a spouse, a roommate, or a licensed teenager. Listing them is what makes sure a claim is covered when they are the one driving. Someone who borrows the car once in a while is usually covered by permissive use instead, and a licensed agent can confirm which applies.\",\n \"permissive-use\":\n \"Permissive use means an occasional driver who has your permission is generally covered even though they are not listed on the policy. It is meant for the rare borrow, not for someone who drives the car every week.\",\n \"household-member\":\n \"A household member is anyone living at the address who has a licence. Carriers ask about them because they have regular access to the car, so they are normally either listed as a driver or formally excluded.\",\n};\n\nconst ALIASES: Record = {\n bi: \"bodily-injury\",\n \"bodily injury\": \"bodily-injury\",\n pd: \"property-damage\",\n \"property damage\": \"property-damage\",\n comp: \"comprehensive\",\n um: \"uninsured-motorist\",\n \"uninsured motorist\": \"uninsured-motorist\",\n limit: \"limits\",\n};\n\nexport function coverageExplain(term: string): string | undefined {\n const key = term.trim().toLowerCase().replace(/_/g, \" \");\n return EXPLANATIONS[key] ?? EXPLANATIONS[ALIASES[key] ?? \"\"];\n}\n\n// ---- identity verification ----\n// A carrier does not read a premium to whoever dials in. Two matching details\n// is the usual bar for an unbound quote; a bound policy asks for more. This\n// gate is what stops quote_lookup from returning anything.\n\nexport type VerifyAttempt = { zip?: string; lastName?: string; vehicle?: string };\n\nexport const QUOTE_ZIP = \"02169\";\n\nexport function identityCheck(\n quote: Quote,\n attempt: VerifyAttempt,\n): { passed: boolean; matched: string[]; missing: string[] } {\n const matched: string[] = [];\n const zip = (attempt.zip ?? \"\").replace(/\\D/g, \"\");\n if (zip && zip === QUOTE_ZIP) matched.push(\"ZIP code\");\n const last = (attempt.lastName ?? \"\").trim().toLowerCase();\n if (last && last === quote.lastName.toLowerCase()) matched.push(\"last name\");\n const veh = (attempt.vehicle ?? \"\").trim().toLowerCase();\n const tail = veh.split(\" \").pop() ?? \"\";\n if (tail && quote.vehicle.toLowerCase().includes(tail)) matched.push(\"vehicle\");\n const missing = [\"ZIP code\", \"last name\", \"vehicle\"].filter(\n (m) => !matched.includes(m),\n );\n return { passed: matched.length >= 2, matched, missing };\n}\n\n// ---- claims ----\n// Sales closes; claims never does. Sending a claim to voicemail is the kind of\n// thing that becomes a complaint, so the after-hours line hands it off.\n\nexport const CLAIMS_LINE = \"1 844 346 1224\";\n\nexport function claimsResult(): string {\n return [\n \"This is a claim, not a sales call, so it does not wait for the morning.\",\n `Give the caller the twenty four hour claims line: ${CLAIMS_LINE}.`,\n \"Say it twice, slowly, and offer to stay on until they have it written down.\",\n \"Do not take claim details here; the claims team records those properly.\",\n ].join(\" \");\n}\n\n// ---- payment plans ----\n// The second of the three reasons their customers call after quoting online,\n// per the May discovery notes. Figures derive from the quote so they stay\n// consistent with whatever the caller actually configured.\n\nexport type PaymentPlan = {\n id: string;\n label: string;\n downPayment: number;\n installments: number;\n perInstallment: number;\n feePerInstallment: number;\n total: number;\n note: string;\n};\n\nconst INSTALLMENT_FEE = 5;\nconst PAID_IN_FULL_SAVING = 0.05;\n\nexport function paymentPlansFor(premium: number): PaymentPlan[] {\n const round = (n: number) => Math.round(n * 100) / 100;\n const full = Math.round(premium * (1 - PAID_IN_FULL_SAVING));\n const plans: PaymentPlan[] = [\n {\n id: \"paid-in-full\",\n label: \"Paid in full\",\n downPayment: full,\n installments: 0,\n perInstallment: 0,\n feePerInstallment: 0,\n total: full,\n note: `Saves ${premium - full} dollars against the installment plans.`,\n },\n ];\n for (const n of [2, 4, 6]) {\n const per = round(premium / n);\n plans.push({\n id: `${n}-pay`,\n label: n === 6 ? \"Monthly, six payments\" : `${n} payments`,\n downPayment: round(per + INSTALLMENT_FEE),\n installments: n,\n perInstallment: per,\n feePerInstallment: INSTALLMENT_FEE,\n total: round(premium + INSTALLMENT_FEE * n),\n note:\n n === 6\n ? \"Installment fees are waived on automatic bank withdrawal.\"\n : \"\",\n });\n }\n return plans;\n}\n\nexport function paymentPlansResult(premium: number): string {\n const [full, two, , six] = paymentPlansFor(premium);\n return [\n `Four ways to pay the ${premium} dollar six month premium.`,\n `Paid in full is ${full!.total} dollars, which saves ${premium - full!.total}.`,\n `Two payments is about ${Math.round(two!.perInstallment)} each.`,\n `Monthly is about ${Math.round(six!.perInstallment)} a month over six months, with a five dollar installment fee.`,\n \"That fee is waived on automatic bank withdrawal.\",\n \"A licensed agent sets the plan up; this is just what the options cost.\",\n ].join(\" \");\n}\n\n// ---- business hours ----\n// Monday to Saturday, closed Sunday, per the May discovery notes. Eastern,\n// because every state they write in is Eastern.\n\nconst OPEN_HOUR = 8;\nconst CLOSE_HOUR = 20;\n\n// A demo is almost never given after hours. `force` lets the dashboard and the\n// tools present the after-hours branch at any time of day without pretending\n// the clock says something it does not.\nexport function businessHoursState(now = new Date(), force = false): {\n open: boolean;\n reason: string;\n forced: boolean;\n localTime: string;\n} {\n const parts = zoneParts(now);\n const base = { forced: force, localTime: parts.time + \" ET\" };\n if (force) {\n return { open: false, reason: \"after hours\", ...base };\n }\n const { hour, day } = parts;\n if (day === \"Sun\") {\n return { open: false, reason: \"closed Sundays\", ...base };\n }\n if (hour < OPEN_HOUR) {\n return { open: false, reason: \"before opening\", ...base };\n }\n if (hour >= CLOSE_HOUR) {\n return { open: false, reason: \"after closing\", ...base };\n }\n return { open: true, reason: \"open\", ...base };\n}\n\n// ---- callback slots ----\n\nexport type CallbackSlot = { id: string; label: string; isoStart: string };\n\nconst AGENTS = [\"Dana Whitfield\", \"Marcus Reyes\", \"Priya Anand\"];\n\n// The carrier is a Northeastern one and the val runs in UTC, so slots are\n// rendered in Eastern time. Without this a 2pm callback reads as 9pm on stage.\nconst SLOT_ZONE = \"America/New_York\";\n\nfunction zoneParts(d: Date): { hour: number; day: string; time: string } {\n // Two formatters on purpose: hour12 and hourCycle conflict in one options\n // bag, and that silently yields the 12-hour number for a 5pm slot.\n const fmt = new Intl.DateTimeFormat(\"en-US\", {\n timeZone: SLOT_ZONE,\n hour: \"2-digit\",\n hour12: false,\n weekday: \"short\",\n });\n const parts = Object.fromEntries(\n fmt.formatToParts(d).map((p) => [p.type, p.value]),\n );\n const time = new Intl.DateTimeFormat(\"en-US\", {\n timeZone: SLOT_ZONE,\n hour: \"numeric\",\n minute: \"2-digit\",\n }).format(d);\n return { hour: Number(parts.hour), day: String(parts.weekday), time };\n}\n\n// Slots always land inside opening hours. An after-hours caller is booking for\n// when the sales centre is next staffed, so walk forward to the next open hour\n// and offer from there. Sunday is skipped entirely.\nexport function slotsAvailable(now = new Date(), afterHours = false): CallbackSlot[] {\n const cursor = new Date(now.getTime());\n cursor.setUTCMinutes(0, 0, 0);\n cursor.setUTCHours(cursor.getUTCHours() + 1);\n\n // When the demo is presenting the after-hours branch, offering a slot later\n // the same afternoon contradicts \"we are closed\". Skip to the next day.\n if (afterHours) {\n while (zoneParts(cursor).day === zoneParts(now).day) {\n cursor.setUTCHours(cursor.getUTCHours() + 1);\n }\n }\n\n const today = zoneParts(now).day;\n const slots: CallbackSlot[] = [];\n let guard = 0;\n\n while (slots.length < 4 && guard < 24 * 8) {\n guard += 1;\n const { hour, day, time } = zoneParts(cursor);\n const openNow = day !== \"Sun\" && hour >= OPEN_HOUR && hour < CLOSE_HOUR;\n if (openNow) {\n const part = hour < 12 ? \"morning\" : hour < 17 ? \"afternoon\" : \"evening\";\n const when = day === today ? \"today\" : slots.length === 0 ? \"when we open\" : day;\n slots.push({\n id: `slot-${slots.length + 1}`,\n label: `${when} ${part}, ${time}`.replace(\"when we open morning\", \"when we open\"),\n isoStart: cursor.toISOString(),\n });\n // Space the offers out rather than handing back four consecutive hours.\n cursor.setUTCHours(cursor.getUTCHours() + 2);\n continue;\n }\n cursor.setUTCHours(cursor.getUTCHours() + 1);\n }\n return slots;\n}\n\n// Stable per case. Picking by booking count meant a caller who corrected the\n// time got handed a different agent on the rebook, which reads as the system\n// losing track of them.\nexport function agentForCase(caseId: string): string {\n let hash = 0;\n for (const ch of caseId) {\n hash = (hash * 31 + ch.charCodeAt(0)) >>> 0;\n }\n return AGENTS[hash % AGENTS.length]!;\n}\n\n// A caller says \"tomorrow afternoon\", not \"slot-3\". Match what they said\n// against the generated slots rather than silently defaulting to the first one,\n// which is how a request for the afternoon became an 8am booking.\nexport function slotMatch(\n slots: CallbackSlot[],\n preference: string,\n): CallbackSlot | undefined {\n const want = preference.trim().toLowerCase();\n if (!want) return undefined;\n const byId = slots.find((s) => s.id === want);\n if (byId) return byId;\n const parts = [\"morning\", \"afternoon\", \"evening\"].filter((p) => want.includes(p));\n const tomorrow = want.includes(\"tomorrow\") || want.includes(\"next\");\n const candidates = slots.filter((s) => {\n const label = s.label.toLowerCase();\n const partOk = parts.length === 0 || parts.some((p) => label.includes(p));\n const dayOk = !tomorrow || !label.includes(\"when we open\");\n return partOk && dayOk;\n });\n return candidates[0];\n}\n\n// ---- spoken tool results ----\n// These are read aloud by the voice model through a context append the Live API\n// caps at 500 tokens, so they stay short and avoid markdown and symbols.\n\nfunction money(n: number): string {\n return `${Math.round(n).toLocaleString(\"en-US\")} dollars`;\n}\n\nexport function quoteResult(q: Quote): string {\n const premium = premiumCalculate(q);\n return [\n `${q.firstName} ${q.lastName} in ${q.city}, ${q.state}.`,\n `Vehicle is a ${q.vehicle}.`,\n `The quote is unfinished; they stopped at the ${q.abandonedAtStep} step.`,\n `Coverage selected so far: ${COVERAGE_LABEL[q.coverageLevel]}.`,\n `Drivers on the quote: ${q.drivers.map((d) => d.name).join(\", \")}.`,\n `Current six month premium is ${money(premium)}, about ${money(premium / 6)} a month.`,\n q.discounts.length === 0\n ? \"No discounts applied yet. She may qualify for multi-policy, Road Rewards, and paid in full.\"\n : `Discounts applied: ${q.discounts.map((d) => DISCOUNT_LABEL[d]).join(\"; \")}.`,\n ].join(\" \");\n}\n\nexport function rateResult(before: Quote, after: Quote): string {\n const prev = premiumCalculate(before);\n const next = premiumCalculate(after);\n const delta = next - prev;\n const dir =\n delta === 0 ? \"unchanged\" : delta > 0 ? `up ${money(delta)}` : `down ${money(-delta)}`;\n return [\n `New six month premium is ${money(next)}, about ${money(next / 6)} a month.`,\n `That is ${dir} from ${money(prev)}.`,\n `Coverage is now ${COVERAGE_LABEL[after.coverageLevel]}.`,\n after.discounts.length\n ? `Discounts applied: ${after.discounts.map((d) => DISCOUNT_LABEL[d]).join(\"; \")}.`\n : \"No discounts applied yet.\",\n ].join(\" \");\n}\n\nexport const DISPOSITION_STATUS: Record = {\n \"quote-updated\": \"Working - quote revised\",\n \"callback-scheduled\": \"Working - agent callback booked\",\n \"not-interested\": \"Closed - not interested\",\n \"no-answer\": \"Open - retry queued\",\n \"in-progress\": \"Working - on call\",\n};\n","deleted",false,"label",[19],{"_33":101,"_13":102,"_35":103,"_37":-5,"_38":39,"_40":104,"_42":43,"_44":105,"_17":106,"_47":48,"_49":107,"_51":52,"_53":-5,"_68":108,"_18":109},{"_33":34,"_13":19,"_35":36,"_37":-5,"_38":39,"_40":41,"_42":43,"_44":98,"_17":46,"_47":48,"_49":50,"_51":52,"_53":-5,"_68":99,"_18":100},{"_33":89,"_13":90,"_35":91,"_37":-5,"_38":39,"_40":92,"_42":43,"_44":93,"_17":94,"_47":48,"_49":95,"_51":52,"_53":-5,"_68":96,"_18":97},{"_33":81,"_13":82,"_35":83,"_37":-5,"_38":39,"_40":84,"_42":43,"_44":85,"_17":66,"_47":48,"_49":86,"_51":52,"_53":-5,"_68":87,"_18":88},{"_33":71,"_13":72,"_35":73,"_37":-5,"_38":39,"_40":74,"_42":43,"_44":75,"_17":76,"_47":77,"_49":78,"_51":52,"_53":14,"_68":79,"_18":80},{"_33":61,"_13":62,"_35":63,"_37":-5,"_38":39,"_40":64,"_42":43,"_44":65,"_17":66,"_47":48,"_49":67,"_51":52,"_53":-5,"_68":69,"_18":70},"92d6dfeb-3556-4b8b-a74e-1afbb48037ba","state.ts","30f618c4-b071-11f1-9f12-1607ee4eb77e",57,["D",1789504442454],5,"// All demo state lives in the val's SQLite database rather than in module\n// memory. An HTTP val has no guarantee that two requests hit the same instance,\n// so a tool call and the dashboard poll that follows it must agree through\n// storage, not through a variable.\n\nimport { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\nimport { SEED_QUOTE } from \"./domain.ts\";\nimport type { Quote } from \"./domain.ts\";\n\nlet ready: Promise | undefined;\n\nexport function schemaEnsure(): Promise {\n ready ??= (async () => {\n await sqlite.execute(\n `CREATE TABLE IF NOT EXISTS stl_quote (\n case_id TEXT PRIMARY KEY,\n json TEXT NOT NULL\n )`,\n );\n await sqlite.execute(\n `CREATE TABLE IF NOT EXISTS stl_case (\n case_id TEXT PRIMARY KEY,\n disposition TEXT NOT NULL,\n status TEXT NOT NULL,\n notes TEXT NOT NULL DEFAULT '[]'\n )`,\n );\n await sqlite.execute(\n `CREATE TABLE IF NOT EXISTS stl_booking (\n case_id TEXT PRIMARY KEY,\n agent TEXT NOT NULL,\n label TEXT NOT NULL,\n topic TEXT NOT NULL\n )`,\n );\n await sqlite.execute(\n `CREATE TABLE IF NOT EXISTS stl_event (\n seq INTEGER PRIMARY KEY AUTOINCREMENT,\n at INTEGER NOT NULL,\n type TEXT NOT NULL,\n payload TEXT NOT NULL\n )`,\n );\n })();\n return ready;\n}\n\n// ---- events ----\n\nexport type DemoEvent = {\n seq: number;\n at: number;\n type: string;\n [key: string]: unknown;\n};\n\nexport async function eventAdd(\n type: string,\n payload: Record = {},\n): Promise {\n await schemaEnsure();\n await sqlite.execute({\n sql: `INSERT INTO stl_event (at, type, payload) VALUES (?, ?, ?)`,\n args: [Date.now(), type, JSON.stringify(payload)],\n });\n}\n\nexport async function eventsSince(since: number): Promise {\n await schemaEnsure();\n const res = await sqlite.execute({\n sql: `SELECT seq, at, type, payload FROM stl_event\n WHERE seq > ? ORDER BY seq ASC LIMIT 500`,\n args: [since],\n });\n return res.rows.map((r: any) => ({\n seq: Number(r.seq ?? r[0]),\n at: Number(r.at ?? r[1]),\n type: String(r.type ?? r[2]),\n ...JSON.parse(String(r.payload ?? r[3])),\n }));\n}\n\n// ---- quote ----\n\nexport async function quoteGet(identifier?: string): Promise {\n await schemaEnsure();\n const res = await sqlite.execute({\n sql: `SELECT json FROM stl_quote WHERE case_id = ?`,\n args: [SEED_QUOTE.caseId],\n });\n const row = res.rows[0] as any;\n if (row) {\n return JSON.parse(String(row.json ?? row[0])) as Quote;\n }\n await quotePut(SEED_QUOTE);\n return structuredClone(SEED_QUOTE);\n}\n\nexport async function quotePut(quote: Quote): Promise {\n await schemaEnsure();\n await sqlite.execute({\n sql: `INSERT INTO stl_quote (case_id, json) VALUES (?, ?)\n ON CONFLICT(case_id) DO UPDATE SET json = excluded.json`,\n args: [quote.caseId, JSON.stringify(quote)],\n });\n}\n\n// ---- case ----\n\nexport type CaseRow = {\n caseId: string;\n disposition: string;\n status: string;\n notes: string[];\n};\n\nexport async function caseGet(caseId: string): Promise {\n await schemaEnsure();\n const res = await sqlite.execute({\n sql: `SELECT case_id, disposition, status, notes FROM stl_case WHERE case_id = ?`,\n args: [caseId],\n });\n const row = res.rows[0] as any;\n if (!row) {\n return { caseId, disposition: \"in-progress\", status: \"Working - on call\", notes: [] };\n }\n return {\n caseId: String(row.case_id ?? row[0]),\n disposition: String(row.disposition ?? row[1]),\n status: String(row.status ?? row[2]),\n notes: JSON.parse(String(row.notes ?? row[3])),\n };\n}\n\nexport async function casePut(row: CaseRow): Promise {\n await schemaEnsure();\n await sqlite.execute({\n sql: `INSERT INTO stl_case (case_id, disposition, status, notes) VALUES (?, ?, ?, ?)\n ON CONFLICT(case_id) DO UPDATE SET\n disposition = excluded.disposition,\n status = excluded.status,\n notes = excluded.notes`,\n args: [row.caseId, row.disposition, row.status, JSON.stringify(row.notes)],\n });\n}\n\n// ---- booking ----\n\nexport type BookingRow = { caseId: string; agent: string; label: string; topic: string };\n\nexport async function bookingCount(): Promise {\n await schemaEnsure();\n const res = await sqlite.execute(`SELECT COUNT(*) AS n FROM stl_booking`);\n const row = res.rows[0] as any;\n return Number(row?.n ?? row?.[0] ?? 0);\n}\n\nexport async function bookingPut(row: BookingRow): Promise {\n await schemaEnsure();\n await sqlite.execute({\n sql: `INSERT INTO stl_booking (case_id, agent, label, topic) VALUES (?, ?, ?, ?)\n ON CONFLICT(case_id) DO UPDATE SET\n agent = excluded.agent, label = excluded.label, topic = excluded.topic`,\n args: [row.caseId, row.agent, row.label, row.topic],\n });\n}\n\nexport async function bookingGet(caseId: string): Promise {\n await schemaEnsure();\n const res = await sqlite.execute({\n sql: `SELECT case_id, agent, label, topic FROM stl_booking WHERE case_id = ?`,\n args: [caseId],\n });\n const row = res.rows[0] as any;\n if (!row) return undefined;\n return {\n caseId: String(row.case_id ?? row[0]),\n agent: String(row.agent ?? row[1]),\n label: String(row.label ?? row[2]),\n topic: String(row.topic ?? row[3]),\n };\n}\n\n// ---- lead capture ----\n// The branch for an after-hours caller with no quote on file: take enough for a\n// rep to pick it up when the centre opens.\n\nexport type LeadRow = {\n name: string;\n phone: string;\n email: string;\n vehicle: string;\n note: string;\n};\n\nexport async function leadPut(row: LeadRow): Promise {\n await schemaEnsure();\n await sqlite.execute(\n `CREATE TABLE IF NOT EXISTS stl_lead (\n id TEXT PRIMARY KEY, name TEXT, phone TEXT, email TEXT,\n vehicle TEXT, note TEXT, created_at INTEGER\n )`,\n );\n const id = `LEAD-${Date.now().toString(36).toUpperCase()}`;\n await sqlite.execute({\n sql: `INSERT INTO stl_lead (id, name, phone, email, vehicle, note, created_at)\n VALUES (?, ?, ?, ?, ?, ?, ?)`,\n args: [id, row.name, row.phone, row.email, row.vehicle, row.note, Date.now()],\n });\n return id;\n}\n\n// ---- verification ----\n// Whether this caller has proved who they are on this call. Stored rather than\n// held in memory for the same reason everything else is: two requests are not\n// guaranteed to hit the same instance.\n\nexport async function verifiedSet(caseId: string): Promise {\n await schemaEnsure();\n await sqlite.execute(\n `CREATE TABLE IF NOT EXISTS stl_verified (case_id TEXT PRIMARY KEY, at INTEGER)`,\n );\n await sqlite.execute({\n sql: `INSERT INTO stl_verified (case_id, at) VALUES (?, ?)\n ON CONFLICT(case_id) DO UPDATE SET at = excluded.at`,\n args: [caseId, Date.now()],\n });\n}\n\nexport async function verifiedIs(caseId: string): Promise {\n await schemaEnsure();\n await sqlite.execute(\n `CREATE TABLE IF NOT EXISTS stl_verified (case_id TEXT PRIMARY KEY, at INTEGER)`,\n );\n const res = await sqlite.execute({\n sql: `SELECT case_id FROM stl_verified WHERE case_id = ?`,\n args: [caseId],\n });\n return res.rows.length > 0;\n}\n\n// ---- claim draft ----\n// The intake accumulates across several tool calls, so it lives in storage like\n// everything else. One draft per call; the demo has a single caller.\n\nexport async function draftGet(): Promise> {\n await schemaEnsure();\n await sqlite.execute(\n `CREATE TABLE IF NOT EXISTS stl_draft (id TEXT PRIMARY KEY, json TEXT NOT NULL)`,\n );\n const res = await sqlite.execute(\n `SELECT json FROM stl_draft WHERE id = 'current'`,\n );\n const row = res.rows[0] as any;\n return row ? JSON.parse(String(row.json ?? row[0])) : {};\n}\n\nexport async function draftMerge(\n patch: Record,\n): Promise> {\n const current = await draftGet();\n const next = { ...current };\n for (const [k, v] of Object.entries(patch)) {\n if (v !== undefined && v !== null && v !== \"\") next[k] = v;\n }\n await sqlite.execute({\n sql: `INSERT INTO stl_draft (id, json) VALUES ('current', ?)\n ON CONFLICT(id) DO UPDATE SET json = excluded.json`,\n args: [JSON.stringify(next)],\n });\n return next;\n}\n\n// ---- reset ----\n\nexport async function demoReset(): Promise {\n await schemaEnsure();\n await sqlite.execute(\n `CREATE TABLE IF NOT EXISTS stl_verified (case_id TEXT PRIMARY KEY, at INTEGER)`,\n );\n await sqlite.execute(\n `CREATE TABLE IF NOT EXISTS stl_draft (id TEXT PRIMARY KEY, json TEXT NOT NULL)`,\n );\n for (\n const table of [\n \"stl_quote\",\n \"stl_case\",\n \"stl_booking\",\n \"stl_event\",\n \"stl_verified\",\n \"stl_draft\",\n ]\n ) {\n await sqlite.execute(`DELETE FROM ${table}`);\n }\n await quotePut(SEED_QUOTE);\n}\n","children",[],[62],"5aab0903-3e43-4adc-ab31-7a52df90a534","main.tsx","0ce38520-b071-11f1-8ee0-1607ee4eb77e",104,["D",1789519819806],39,"http","// After-hours claims intake demo. One HTTP val: the Vapi webhook, the polling\n// dashboard, and the tools the reasoner calls. No real carrier system is\n// touched. The FAQ corpus is the carrier's own published text; everything else\n// — the claim numbers, the draft store — is invented.\n\nimport { Hono } from \"npm:hono\";\nimport { CLAIMS_LINE, businessHoursState, claimsResult } from \"./domain.ts\";\nimport { demoReset, eventAdd, eventsSince } from \"./state.ts\";\nimport {\n FAQ,\n FAQ_SOURCE_URL,\n faqRelevant,\n faqResult,\n faqSearch,\n} from \"./faq.ts\";\nimport {\n claimNumberMake,\n claimResult,\n dateOfLossValid,\n dateResolve,\n draftMissing,\n draftState,\n escalationNeeded,\n todayGet,\n} from \"./fnol.ts\";\nimport type { ClaimDraft } from \"./fnol.ts\";\nimport { draftGet, draftMerge } from \"./state.ts\";\nimport { dashboardHtml } from \"./dashboard.ts\";\n\nconst app = new Hono();\napp.onError((err) => Promise.reject(err));\n\nconst DEFAULT_BRAND = \"Northeast Mutual\";\n// The demo presents the after-hours branch regardless of when it is given.\nconst AFTER_HOURS_DEMO = true;\n\ntype ToolArgs = Record;\n\nfunction str(args: ToolArgs, key: string): string {\n const v = args[key];\n return typeof v === \"string\" ? v : \"\";\n}\n\nasync function dispatch(name: string, args: ToolArgs): Promise {\n switch (name) {\n // Real retrieval over the published claims FAQ. The agent gets the\n // carrier's own words back, not a string someone wrote for it to say.\n case \"faq_search\": {\n const q = str(args, \"question\");\n const hits = faqSearch(q, 3);\n const result = faqResult(q);\n // The result rides on this event, and the dashboard skips the generic\n // tool card for faq_search, so the scored hits and what the agent was\n // handed appear together instead of as two cards saying the same thing.\n await eventAdd(\"faq\", {\n query: q,\n result,\n relevant: faqRelevant(hits[0], q),\n hits: hits.map((h) => ({\n question: h.entry.question,\n category: h.entry.category,\n score: Math.round(h.score * 100) / 100,\n })),\n source: FAQ_SOURCE_URL,\n });\n return result;\n }\n\n // Retired. It accumulated the intake turn by turn and answered with what\n // was still outstanding, which meant a webhook round trip between every\n // question on the call. claim_open now takes everything in one go. Kept as\n // a shim so an older assistant config does not hard-fail mid-call.\n case \"claim_intake\": {\n // Either field may carry the date. whenSpoken is what the caller actually\n // said; the server resolves it, because the model has no clock.\n const spoken = str(args, \"whenSpoken\");\n const resolved = spoken ? dateResolve(spoken) : undefined;\n const rawDate = resolved || str(args, \"dateOfLoss\");\n if (spoken && !resolved && !str(args, \"dateOfLoss\")) {\n return JSON.stringify({\n today: todayGet(),\n unresolved: \"whenSpoken\",\n value: spoken,\n reason:\n \"not a relative date this server understands; ask the caller for the calendar date\",\n });\n }\n if (rawDate && !dateOfLossValid(rawDate)) {\n return JSON.stringify({\n rejected: \"dateOfLoss\",\n value: rawDate,\n reason: \"date of loss is in the future\",\n });\n }\n const injuriesRaw = args.injuries;\n const draft = await draftMerge({\n lossType: str(args, \"lossType\") || undefined,\n dateOfLoss: rawDate || undefined,\n timeOfLoss: str(args, \"timeOfLoss\") || undefined,\n location: str(args, \"location\") || undefined,\n description: str(args, \"description\") || undefined,\n vehicle: str(args, \"vehicle\") || undefined,\n otherParties: str(args, \"otherParties\") || undefined,\n injuryDetail: str(args, \"injuryDetail\") || undefined,\n damageDegree: str(args, \"damageDegree\") || undefined,\n policeReport: typeof args.policeReport === \"boolean\"\n ? args.policeReport\n : undefined,\n injuries: typeof injuriesRaw === \"boolean\" ? injuriesRaw : undefined,\n });\n await eventAdd(\"draft\", { draft });\n // today rides on every response so the agent never has to ask the caller\n // what year it is.\n return JSON.stringify({\n today: todayGet(),\n ...draftState(draft as ClaimDraft),\n });\n }\n\n // One call files the claim. There is deliberately no second tool that\n // accumulates details turn by turn: an endpoint that answers \"here is what\n // you still owe me\" is a conversational crutch, not an API, and it put a\n // round trip between every question the agent asked.\n case \"claim_open\": {\n const spoken = str(args, \"whenSpoken\");\n const resolved = spoken ? dateResolve(spoken) : undefined;\n const rawDate = resolved || str(args, \"dateOfLoss\");\n const injuriesRaw = args.injuries;\n const draft = await draftMerge({\n lossType: str(args, \"lossType\") || undefined,\n dateOfLoss: rawDate || undefined,\n location: str(args, \"location\") || undefined,\n description: str(args, \"description\") || undefined,\n vehicle: str(args, \"vehicle\") || undefined,\n otherParties: str(args, \"otherParties\") || undefined,\n injuryDetail: str(args, \"injuryDetail\") || undefined,\n damageDegree: str(args, \"damageDegree\") || undefined,\n policeReport: typeof args.policeReport === \"boolean\"\n ? args.policeReport\n : undefined,\n injuries: typeof injuriesRaw === \"boolean\" ? injuriesRaw : undefined,\n }) as ClaimDraft;\n await eventAdd(\"draft\", { draft });\n\n if (spoken && !resolved && !str(args, \"dateOfLoss\")) {\n return JSON.stringify({\n error: \"unresolved_date\",\n today: todayGet(),\n value: spoken,\n message:\n \"Could not resolve that to a date. Ask the caller for the calendar date.\",\n });\n }\n if (rawDate && !dateOfLossValid(rawDate)) {\n return JSON.stringify({\n error: \"invalid_date\",\n today: todayGet(),\n value: rawDate,\n message: \"Date of loss is in the future, so it was misheard.\",\n });\n }\n\n const state = draftState(draft);\n const escalation = escalationNeeded(draft);\n // An injury or a possible total loss gets a claim number even with gaps.\n // Holding it back means a transfer loses everything the caller just said,\n // which is the one outcome this branch exists to prevent.\n if (!state.complete && !escalation) {\n return JSON.stringify({\n error: \"incomplete\",\n today: todayGet(),\n missing: state.missing,\n message: \"Ask the caller for these, then call again with everything.\",\n });\n }\n const claimNumber = claimNumberMake();\n await eventAdd(\"claim\", {\n claimNumber,\n draft,\n escalation: escalation ?? null,\n });\n return JSON.stringify({\n opened: true,\n ...(state.complete ? {} : { partial: true, missing: state.missing }),\n ...claimResult(claimNumber, draft, escalation),\n });\n }\n\n // Kept for the cascaded backup assistant, which offers the published\n // claims line when a caller wants a human instead of the intake.\n case \"claims_line\": {\n await eventAdd(\"claims\", { number: CLAIMS_LINE });\n return claimsResult();\n }\n\n default:\n return `Unknown tool ${name}.`;\n }\n}\n\n// ---- Vapi server messages ----\n\napp.post(\"/vapi\", async (c) => {\n const body = await c.req.json().catch(() => ({}));\n const message = body?.message ?? {};\n const type = message.type as string | undefined;\n\n if (type === \"tool-calls\") {\n const calls = message.toolCallList ?? message.toolCalls ?? [];\n const results = [];\n for (const call of calls) {\n const name = call.function?.name ?? call.name ?? \"unknown\";\n const raw = call.function?.arguments ?? call.arguments ?? {};\n let args: ToolArgs = {};\n if (typeof raw === \"string\") {\n try {\n args = JSON.parse(raw);\n } catch {\n args = {};\n }\n } else if (raw && typeof raw === \"object\") {\n args = raw as ToolArgs;\n }\n const started = Date.now();\n const result = await dispatch(name, args);\n // The result goes on the event too: a tool call whose return value is\n // hidden shows that something happened but not what came back, which is\n // the half that makes the agent look like it is actually working.\n await eventAdd(\"tool\", { name, args, result, ms: Date.now() - started });\n results.push({ toolCallId: call.id ?? call.toolCallId, result });\n }\n return c.json({ results });\n }\n\n if (type === \"transcript\" && message.transcriptType === \"final\") {\n await eventAdd(\"transcript\", { role: message.role, text: message.transcript });\n }\n if (type === \"status-update\") {\n await eventAdd(\"status\", {\n status: message.status,\n endedReason: message.endedReason,\n });\n }\n if (type === \"end-of-call-report\") {\n await eventAdd(\"ended\", {\n endedReason: message.endedReason,\n cost: message.cost,\n durationSeconds: message.durationSeconds,\n });\n }\n return c.json({ ok: true });\n});\n\n// ---- dashboard feed ----\n\napp.get(\"/api/events\", async (c) => {\n const since = Number(c.req.query(\"since\") ?? 0);\n const events = await eventsSince(Number.isFinite(since) ? since : 0);\n return c.json({ events });\n});\n\napp.get(\"/api/state\", async (c) => {\n const draft = await draftGet();\n return c.json({\n draft,\n missing: draftMissing(draft as ClaimDraft),\n // Default to the after-hours branch: a demo is rarely given at 9pm.\n // Pass ?live=1 to use the real clock instead.\n hours: businessHoursState(new Date(), c.req.query(\"live\") !== \"1\"),\n corpus: { source: FAQ_SOURCE_URL },\n tools: [\"faq_search\", \"claim_intake\", \"claim_open\", \"transferCall\", \"endCall\"],\n });\n});\n\n// Ad-hoc retrieval probe. Useful on a call where someone asks \"what would it\n// say if I asked X\" — the answer is one URL away, with the scores visible.\napp.get(\"/api/faq\", (c) => {\n const q = c.req.query(\"q\") ?? \"\";\n const hits = faqSearch(q, 5);\n return c.json({\n query: q,\n source: FAQ_SOURCE_URL,\n result: faqResult(q),\n relevant: faqRelevant(hits[0], q),\n hits: hits.map((h) => ({\n score: Math.round(h.score * 100) / 100,\n rawScore: Math.round(h.rawScore * 100) / 100,\n category: h.entry.category,\n question: h.entry.question,\n matched: h.matched.slice(0, 4),\n answer: h.entry.answer,\n })),\n });\n});\n\n// The same corpus as markdown, for ingestion into a Vapi knowledge base. The\n// cascaded backup assistant searches a real KB v2 rather than this val's BM25\n// index, and both must be the same text or the two demos disagree on air.\napp.get(\"/api/faq.md\", (c) => {\n const byCategory = new Map();\n for (const entry of FAQ) {\n const list = byCategory.get(entry.category) ?? [];\n list.push(entry);\n byCategory.set(entry.category, list);\n }\n const lines = [\n \"# Plymouth Rock Assurance claims FAQ\",\n \"\",\n `Source: ${FAQ_SOURCE_URL}`,\n \"\",\n ];\n for (const [category, entries] of byCategory) {\n lines.push(`## ${category}`, \"\");\n for (const entry of entries) {\n lines.push(`### ${entry.question}`, \"\", entry.answer, \"\");\n }\n }\n return c.text(lines.join(\"\\n\"), 200, {\n \"content-type\": \"text/markdown; charset=utf-8\",\n });\n});\n\n// The web-call button needs the org's PUBLIC key. It is read from an env var\n// rather than written into this file: the val is public, and a key sitting in\n// searchable source invites strangers to start calls on the org's bill. It\n// still reaches the browser, which is what a public key is for, so rotate it\n// if the URL gets shared widely.\napp.get(\"/api/config\", (c) => {\n const publicKey = Deno.env.get(\"VAPI_PUBLIC_KEY\") ?? \"\";\n // Highest suffix wins. Val Town env vars cannot be edited in place, so each\n // time the assistant is replaced a new key is added rather than updated.\n const assistantId = Deno.env.get(\"VAPI_ASSISTANT_ID_V3\") ??\n Deno.env.get(\"VAPI_ASSISTANT_ID_V2\") ??\n Deno.env.get(\"VAPI_ASSISTANT_ID\") ?? \"\";\n const cascadedId = Deno.env.get(\"VAPI_ASSISTANT_ID_CASCADED\") ?? \"\";\n return c.json({\n publicKey,\n assistantId,\n cascadedId,\n // A Vapi SIP number works with GPT-Live; a Twilio-backed one does not yet.\n phoneNumber: Deno.env.get(\"VAPI_PHONE_NUMBER\") ?? \"\",\n ready: Boolean(publicKey && assistantId),\n });\n});\n\napp.post(\"/demo/reset\", async (c) => {\n await demoReset();\n await eventAdd(\"reset\");\n return c.json({ ok: true });\n});\n\n// ---- dashboard ----\n// Brand comes from the query string so this public val carries no prospect name.\n\napp.get(\"/\", (c) => {\n const brand = (c.req.query(\"brand\") ?? DEFAULT_BRAND).slice(0, 60);\n return c.html(dashboardHtml(brand));\n});\n\nexport default app.fetch;\n",[],[72],"2b4c0e52-17c3-41b5-91cf-e11bd9e5d2f7","fnol.ts","c13b01a0-b144-11f1-a881-1607ee4eb77e",102,["D",1789519528113],"// First Notice of Loss. The fields and the severity split follow the FNOL call\n// flow Vapi already uses for insurance work: date and time of loss, location to\n// a cross-street, description, police report, other parties, injuries, damage\n// degree.\n//\n// The point of this file is that the call has a destination. A claim number\n// exists at the end that did not exist at the start, and the agent cannot\n// produce one without collecting what a real intake needs.\n\nexport type LossType = \"auto\" | \"property\";\n\nexport type DamageDegree = \"minor\" | \"moderate\" | \"severe\" | \"total-loss\";\n\nexport type ClaimDraft = {\n lossType?: LossType;\n dateOfLoss?: string;\n timeOfLoss?: string;\n location?: string;\n description?: string;\n policeReport?: boolean;\n otherParties?: string;\n injuries?: boolean;\n injuryDetail?: string;\n damageDegree?: DamageDegree;\n vehicle?: string;\n};\n\n// What has to be on the draft before a claim number is issued. Deliberately the\n// minimum an adjuster can act on, not everything a full intake would ask: an\n// after-hours agent that interrogates someone whose car is on a kerb is worse\n// than one that takes the essentials and hands off.\nconst REQUIRED: { key: keyof ClaimDraft; ask: string }[] = [\n { key: \"lossType\", ask: \"whether this is a vehicle or a property loss\" },\n { key: \"dateOfLoss\", ask: \"the date it happened\" },\n { key: \"location\", ask: \"where it happened, street or nearest cross street, plus the town\" },\n { key: \"description\", ask: \"what happened, in their own words\" },\n { key: \"injuries\", ask: \"whether anyone was hurt, including them\" },\n { key: \"damageDegree\", ask: \"how bad the damage is\" },\n];\n\nfunction fieldSet(draft: ClaimDraft, key: keyof ClaimDraft): boolean {\n const v = draft[key];\n return v !== undefined && v !== null && v !== \"\";\n}\n\nexport function draftMissing(draft: ClaimDraft): string[] {\n return REQUIRED.filter((f) => !fieldSet(draft, f.key)).map((f) => f.ask);\n}\n\nexport function draftRecorded(draft: ClaimDraft): string[] {\n return REQUIRED.filter((f) => fieldSet(draft, f.key)).map((f) => f.key);\n}\n\n// State, not instruction. This used to return the missing list wrapped in\n// \"Ask for the next one only, not all of them at once\" — a pacing rule the\n// reasoner prompt already carries, in a layer that has no business holding it.\n// OpenAI's backend guide draws the same line: the tool reports what happened,\n// the backend prompt decides what to say next.\nexport function draftState(draft: ClaimDraft): {\n recorded: string[];\n missing: { field: string; needs: string }[];\n complete: boolean;\n escalation?: string;\n} {\n const missing = REQUIRED.filter((f) => !fieldSet(draft, f.key)).map((f) => ({\n field: String(f.key),\n needs: f.ask,\n }));\n const escalation = escalationNeeded(draft);\n return {\n recorded: draftRecorded(draft).map(String),\n missing,\n complete: missing.length === 0,\n ...(escalation ? { escalation } : {}),\n };\n}\n\n// An injury or a total loss does not get handled by an after-hours intake bot.\n// It goes to a person, now. This is the branch that makes the agent credible to\n// a claims operator rather than alarming to one.\nexport function escalationNeeded(draft: ClaimDraft): string | undefined {\n if (draft.injuries === true) {\n return \"Someone was injured.\";\n }\n if (draft.damageDegree === \"total-loss\") {\n return \"The vehicle may be a total loss.\";\n }\n return undefined;\n}\n\n// The model has no clock. GPT-Live renders no Liquid variables into its\n// prompts, so an agent asked for \"the date\" either guesses or interrogates the\n// caller about what year it is — both observed on real calls. The caller says\n// \"about an hour ago\"; the server, which does know the date, turns that into\n// one. Pass through what they actually said and let this resolve it.\nconst RELATIVE: { match: RegExp; days: number }[] = [\n { match: /\\b(day before yesterday)\\b/, days: 2 },\n { match: /\\b(yesterday|last night|last evening)\\b/, days: 1 },\n {\n match:\n /\\b(today|this morning|this afternoon|this evening|tonight|just|just now|moments? ago|minutes? ago|an hour ago|hours? ago|a few hours ago|earlier)\\b/,\n days: 0,\n },\n];\n\n// Plymouth Rock is a northeast carrier and the demo is given from the US, so\n// \"today\" means today in Eastern time. Using the server's UTC date reports\n// tomorrow from 8pm ET onward, which is exactly the kind of wrong date this\n// whole mechanism exists to prevent.\nconst ZONE = \"America/New_York\";\n\nfunction zonedDay(at: Date): string {\n // en-CA renders as YYYY-MM-DD.\n return at.toLocaleDateString(\"en-CA\", { timeZone: ZONE });\n}\n\nexport function dateResolve(spoken: string, now = new Date()): string | undefined {\n const text = spoken.toLowerCase().trim();\n // An explicit ISO date the model already worked out is taken as given.\n if (/^\\d{4}-\\d{2}-\\d{2}$/.test(text)) return text;\n // A caller says \"three days ago\", not \"3 days ago\", and a transcriber writes\n // it the way it was said.\n const WORD_NUMBER: Record = {\n one: 1, two: 2, three: 3, four: 4, five: 5,\n six: 6, seven: 7, eight: 8, nine: 9, ten: 10,\n a: 1, an: 1, couple: 2, few: 3,\n };\n const numbered = text.match(/\\b(\\d+|[a-z]+)\\s+days?\\s+ago\\b/);\n const spokenCount = numbered\n ? (/^\\d+$/.test(numbered[1]!)\n ? Number(numbered[1])\n : WORD_NUMBER[numbered[1]!])\n : undefined;\n const days = spokenCount ?? RELATIVE.find((r) => r.match.test(text))?.days;\n if (days === undefined) return undefined;\n return zonedDay(new Date(now.getTime() - days * 86_400_000));\n}\n\nexport function todayGet(now = new Date()): string {\n return zonedDay(now);\n}\n\n// A future date of loss is always a mishearing. Rejecting it here is cheaper\n// than an adjuster finding it tomorrow.\nexport function dateOfLossValid(iso: string, now = new Date()): boolean {\n const d = new Date(iso);\n if (Number.isNaN(d.getTime())) return false;\n return d.getTime() <= now.getTime() + 60_000;\n}\n\n// Format: PR, two digits of year, then a short base36 run. Said out loud a\n// character at a time, so no ambiguous letters.\nconst AMBIGUOUS = /[IO01]/g;\n\nexport function claimNumberMake(now = new Date()): string {\n const year = String(now.getFullYear()).slice(2);\n const body = Math.floor(Math.random() * 36 ** 6)\n .toString(36)\n .toUpperCase()\n .padStart(6, \"2\")\n .replace(AMBIGUOUS, \"7\");\n return `PR${year}-${body}`;\n}\n\nexport function claimSpoken(claimNumber: string): string {\n return claimNumber.split(\"\").join(\" \").replace(/- /g, \"dash \");\n}\n\n// Facts about what happened, not lines for the agent to deliver. How the claim\n// number is spoken is a speaking decision and lives in the speaker prompt.\nexport function claimResult(\n claimNumber: string,\n draft: ClaimDraft,\n escalation?: string,\n): {\n claimNumber: string;\n status: string;\n adjusterCallsWithin?: string;\n photoLinkTexted?: boolean;\n policeReport?: boolean;\n escalation?: string;\n} {\n if (escalation) {\n return {\n claimNumber,\n status: \"open, pending specialist\",\n escalation,\n ...(draft.policeReport !== undefined\n ? { policeReport: draft.policeReport }\n : {}),\n };\n }\n return {\n claimNumber,\n status: \"open\",\n adjusterCallsWithin: \"one business day\",\n photoLinkTexted: true,\n ...(draft.policeReport !== undefined\n ? { policeReport: draft.policeReport }\n : {}),\n };\n}\n",[],[82],"ad12e8d1-bc82-4f40-b91e-c4018b906a0c","faq.ts","b3b3ffa0-b144-11f1-b7c8-1607ee4eb77e",93,["D",1789513669954],14,"// The claims FAQ corpus, taken from plymouthrock.com/claims/faqs, plus a real\n// retrieval function over it.\n//\n// This exists because the previous version of this demo had the agent read back\n// strings written by whoever built the demo. That is puppetry: the agent sounds\n// knowledgeable because someone typed the knowledge into its mouth. Here the\n// agent gets the passage a search returned, and every answer carries the URL it\n// came from, so \"where did that come from\" has an answer.\n//\n// Scoring is BM25 over the question and answer text. No embedding service, no\n// API key in the runtime, deterministic and inspectable. For a fifty-document\n// corpus of short FAQ entries, lexical matching also beats embeddings on the\n// terms that actually matter here: \"police report\", \"deductible\", \"rental\",\n// \"total loss\" are exact phrases a caller says.\n\nexport type FaqEntry = {\n id: string;\n category: string;\n question: string;\n answer: string;\n};\n\nexport const FAQ_SOURCE_URL = \"https://www.plymouthrock.com/claims/faqs\";\n\nexport const FAQ: FaqEntry[] = [\n {\n id: \"report-loss\",\n category: \"General\",\n question: \"How do I report a loss?\",\n answer:\n \"Policyholders can report a claim online through the Claims Center, through the mobile app, or by phone. New York policyholders call 844 208 1933. Everyone else, and anyone who is not a policyholder, reports by phone on 844 346 1225.\",\n },\n {\n id: \"info-needed\",\n category: \"General\",\n question: \"What information do I need to report a claim?\",\n answer:\n \"Have your name and address, the names and addresses of any witnesses or injured parties, the general details of the loss, and your policy number. If you do not have all of this, do not wait to report the loss.\",\n },\n {\n id: \"police-report\",\n category: \"General\",\n question: \"Do I need a police report to report a claim?\",\n answer:\n \"A police report is helpful in assisting with the reporting of a loss, but it is not mandatory. You may still be legally required to report the accident to the authorities separately.\",\n },\n {\n id: \"after-accident\",\n category: \"General\",\n question: \"What should I do after an accident?\",\n answer:\n \"Make sure everyone is safe and get emergency care if anyone needs it. Notify the police. Note the location, date and time. Collect the other driver's information and licence plate. Note any injuries. Get witness details. Take photographs of the scene. Then report it to Plymouth Rock immediately.\",\n },\n {\n id: \"legal-papers\",\n category: \"General\",\n question: \"What should I do if I am served with legal papers after a loss?\",\n answer:\n \"Any legal papers you receive should be forwarded to Plymouth Rock as soon as possible.\",\n },\n {\n id: \"repair-shop\",\n category: \"Auto\",\n question: \"Can Plymouth Rock help me find a repair shop?\",\n answer:\n \"You may use any licensed repair shop you choose. Plymouth Rock also has a Repair Shop Finder and a network of referral shops. Repairs done at a referral shop are guaranteed fully for as long as you own or lease the car.\",\n },\n {\n id: \"rental-car\",\n category: \"Auto\",\n question: \"How do I arrange a rental or substitute vehicle?\",\n answer:\n \"If you purchased rental reimbursement coverage, also called substitute transportation coverage, Plymouth Rock will help arrange a rental while your vehicle is repaired. Without that coverage they will still arrange the rental, but it is billed directly to you.\",\n },\n {\n id: \"injury-benefits\",\n category: \"Auto\",\n question: \"How do I apply for benefits if someone is injured?\",\n answer:\n \"Contact Plymouth Rock immediately if you or any of your passengers are injured, using the claims contact information.\",\n },\n {\n id: \"estimate\",\n category: \"Auto\",\n question: \"How do I get an estimate before my vehicle is repaired?\",\n answer:\n \"Plymouth Rock assigns an auto damage appraiser to inspect the vehicle at a location of your choosing: your home, your office, or wherever the car was towed.\",\n },\n {\n id: \"towing\",\n category: \"Auto\",\n question: \"How do I get paid for towing my disabled vehicle?\",\n answer:\n \"Towing and Labor is an optional coverage available for purchase. If you have it, towing costs for a mechanically disabled vehicle are covered up to the amount of coverage you selected.\",\n },\n {\n id: \"valet\",\n category: \"Auto\",\n question: \"What is Door to Door Valet Claim Service?\",\n answer:\n \"Door to Door Valet Claim Service picks up your vehicle, delivers it to the repair shop, arranges the rental, and returns the vehicle to you, so you do not have to leave your home or office.\",\n },\n {\n id: \"glass\",\n category: \"Auto\",\n question: \"What should I do about a damaged windshield or window?\",\n answer:\n \"The GLASSCARE program repairs or replaces glass damage under comprehensive coverage. You can submit a glass claim online or book an appointment at a quality glass shop.\",\n },\n {\n id: \"total-loss\",\n category: \"Auto\",\n question: \"What happens if my car is a total loss?\",\n answer:\n \"If the vehicle is declared a total loss, Plymouth Rock has a separate process and a dedicated total loss representative will work through the settlement with you.\",\n },\n {\n id: \"home-after-loss\",\n category: \"Home\",\n question: \"What should I do after damage to my home?\",\n answer:\n \"Once you are sure everyone is safe, report the loss promptly, photograph the damage, protect the property from further damage, keep the receipts for anything you spend protecting it, and report any theft to the police.\",\n },\n {\n id: \"home-report\",\n category: \"Home\",\n question: \"How do I report a home claim?\",\n answer:\n \"Report online through the Claims Center, through the Plymouth Rock mobile app, by phone on 844 346 1225, or through your independent agent.\",\n },\n {\n id: \"flood\",\n category: \"Home\",\n question: \"How do I report a flood claim?\",\n answer:\n \"It depends who wrote the flood policy. Neptune is 727 202 4815. A Prudential agent flood policy is 800 787 5677. An NFIP policy is 800 759 8656.\",\n },\n {\n id: \"after-report\",\n category: \"Home\",\n question: \"What happens after I report my claim?\",\n answer:\n \"Your claim is assigned to a Plymouth Rock Claims Representative, who reviews your policy carefully and explains what is covered.\",\n },\n {\n id: \"evaluate-damage\",\n category: \"Home\",\n question: \"How will you evaluate the damage?\",\n answer:\n \"Most reviews happen over the phone or by video chat. A representative may visit the home when a more thorough inspection is needed.\",\n },\n {\n id: \"mortgage\",\n category: \"Home\",\n question: \"What if I have an outstanding mortgage on my home?\",\n answer:\n \"Depending on the settlement amount, the mortgage company may also be included as a payee on the settlement cheque.\",\n },\n {\n id: \"deductible\",\n category: \"Home\",\n question: \"Does my deductible apply if I did nothing wrong?\",\n answer:\n \"Your policy has a deductible, but the amount varies depending on your policy and the type of loss. It is not decided by who was at fault.\",\n },\n {\n id: \"begin-repairs\",\n category: \"Home\",\n question: \"When can I begin repairs or replace lost items?\",\n answer:\n \"Wait for the Claims Representative to inspect the damage before you begin repairs. Emergency work such as water removal should be done first if it is needed to stop further damage.\",\n },\n {\n id: \"pip-what\",\n category: \"New Jersey PIP\",\n question: \"What is PIP, Personal Injury Protection coverage?\",\n answer:\n \"PIP is no-fault medical coverage. It pays for treatment and equipment related to injuries from the accident, and depending on the coverage you selected it may also include income continuation or essential services.\",\n },\n {\n id: \"no-fault\",\n category: \"New Jersey PIP\",\n question: \"What is no-fault insurance?\",\n answer:\n \"Under no-fault, each injured person goes back to their own auto policy for medical coverage, regardless of who caused the accident.\",\n },\n {\n id: \"pip-deadline\",\n category: \"New Jersey PIP\",\n question: \"How long do I have to make a PIP claim?\",\n answer:\n \"Report the accident promptly. There are penalties for delay: 25 percent if reported 31 to 60 days after the accident, 50 percent at 61 days or more. The New Jersey statute of limitations is two years after the injury or expense, or four years after the accident, whichever comes first.\",\n },\n {\n id: \"pip-deductible\",\n category: \"New Jersey PIP\",\n question: \"Why do I pay a deductible when the accident was not my fault?\",\n answer:\n \"New Jersey PIP deductibles and copayments are mandatory and apply regardless of who was at fault, because the coverage is no-fault.\",\n },\n {\n id: \"pip-bills\",\n category: \"New Jersey PIP\",\n question: \"Where do I send my medical bills?\",\n answer:\n \"Mail them to Plymouth Rock Assurance, PO Box 900, Lincroft, New Jersey, 07738-0900, with the full claim number. Electronic submission and a Medical Provider Portal are also available.\",\n },\n {\n id: \"pip-process-time\",\n category: \"New Jersey PIP\",\n question: \"How long does Plymouth Rock have to process my medical bills?\",\n answer:\n \"New Jersey law gives all carriers 60 days to process medical bills, with a possible extension of no more than a further 45 days.\",\n },\n];\n\n// ---- retrieval ----\n\n// Function words plus the generic verbs a spoken question is padded with.\n// \"get\" and \"got\" are here because they were deciding matches: \"my car got\n// towed who pays\" ranked the appraisal entry top on the word \"get\".\nconst STOP = new Set(\n (\"a an and are as at be been but by can could do does did for from get gets \" +\n \"getting got had has have how i if in into is it its me my need needs of on \" +\n \"or our should so that the their them then there these they this to us was \" +\n \"were what when where which who will with would you your\")\n .split(\" \"),\n);\n\n// Crude suffix stripping, applied identically to the corpus and the query, so\n// \"towed\" and \"towing\" become the same key. Without it the caller's tense\n// decided which entry won: \"towed\" appears literally in the appraisal answer\n// (\"wherever the car was towed\"), which outranked the towing entry.\n//\n// This is not linguistics, it is a hash. It only has to be consistent.\nfunction stem(word: string): string {\n let w = word;\n if (w.length > 4 && w.endsWith(\"ies\")) w = `${w.slice(0, -3)}y`;\n else if (w.length > 4 && w.endsWith(\"sses\")) w = w.slice(0, -2);\n else if (\n w.length > 3 && w.endsWith(\"s\") && !w.endsWith(\"ss\") && !w.endsWith(\"us\") &&\n !w.endsWith(\"is\")\n ) w = w.slice(0, -1);\n if (w.length > 5 && w.endsWith(\"ing\")) w = w.slice(0, -3);\n else if (w.length > 4 && w.endsWith(\"ed\")) w = w.slice(0, -2);\n // A trailing e goes too, so \"damage\" and \"damaged\" land on the same key.\n if (w.length > 4 && w.endsWith(\"e\")) w = w.slice(0, -1);\n // Undo a doubled final consonant left by -ing / -ed stripping.\n if (w.length > 3 && /([bdfglmnprt])\\1$/.test(w)) w = w.slice(0, -1);\n return w;\n}\n\n// Caller words mapped onto the vocabulary the FAQ actually uses. Without this a\n// caller asking about a \"hire car\" or \"cops\" matches nothing.\nconst SYNONYMS: Record = {\n cop: [\"police\"],\n cops: [\"police\"],\n hire: [\"rental\"],\n loaner: [\"rental\", \"substitute\"],\n windshield: [\"glass\", \"windscreen\"],\n windscreen: [\"glass\", \"windshield\"],\n smashed: [\"damage\", \"damaged\"],\n wrecked: [\"total\", \"damage\"],\n totaled: [\"total\", \"loss\"],\n totalled: [\"total\", \"loss\"],\n // One concept, one term. Expanding \"garage\" to both repair AND shop counted\n // the same idea twice and put the repair-shop entry above the rental one for\n // \"a hire car while mine is in the garage\".\n garage: [\"repair\"],\n bodyshop: [\"repair\"],\n excess: [\"deductible\"],\n tow: [\"towing\"],\n towed: [\"towing\"],\n hurt: [\"injured\", \"injury\"],\n ambulance: [\"injured\", \"injury\"],\n paperwork: [\"legal\", \"papers\"],\n sued: [\"legal\", \"papers\"],\n};\n\nfunction words(text: string): string[] {\n return text\n .toLowerCase()\n .replace(/[^a-z0-9\\s]/g, \" \")\n .split(/\\s+/)\n .filter((w) => w.length > 1 && !STOP.has(w));\n}\n\n// Synonyms are looked up on the raw word and on its stem, so the table does not\n// need an entry per tense, and the expansions are stemmed like everything else.\nfunction synonymsFor(word: string): string[] {\n const hits = SYNONYMS[word] ?? SYNONYMS[stem(word)] ?? [];\n return hits.map(stem);\n}\n\nfunction tokenize(text: string): string[] {\n const out: string[] = [];\n for (const w of words(text)) {\n out.push(stem(w));\n for (const syn of synonymsFor(w)) out.push(syn);\n }\n return out;\n}\n\n// A synonym is a guess about what the caller meant, so it counts for less than\n// a word they actually said. Without this, \"a hire car while mine is in the\n// garage\" ranked the repair-shop entry above the rental one: garage expands to\n// repair and shop, and that entry contains both, twice.\nconst SYNONYM_WEIGHT = 0.45;\n\ntype QueryTerm = { term: string; weight: number };\n\nfunction queryTerms(query: string): QueryTerm[] {\n const weights = new Map();\n for (const w of words(query)) {\n weights.set(stem(w), 1);\n for (const syn of synonymsFor(w)) {\n weights.set(syn, Math.max(weights.get(syn) ?? 0, SYNONYM_WEIGHT));\n }\n }\n return [...weights].map(([term, weight]) => ({ term, weight }));\n}\n\n// BM25. k1 and b are the usual defaults; nothing here is tuned to make a demo\n// query look good.\nconst K1 = 1.5;\nconst B = 0.75;\n\ntype Indexed = { entry: FaqEntry; terms: string[]; length: number };\n\nlet index: Indexed[] | undefined;\nlet avgLength = 0;\nlet docFreq: Map | undefined;\n\nfunction indexBuild(): void {\n if (index) return;\n index = FAQ.map((entry) => {\n const terms = tokenize(`${entry.question} ${entry.question} ${entry.answer}`);\n return { entry, terms, length: terms.length };\n });\n avgLength = index.reduce((s, d) => s + d.length, 0) / index.length;\n docFreq = new Map();\n for (const doc of index) {\n for (const term of new Set(doc.terms)) {\n docFreq.set(term, (docFreq.get(term) ?? 0) + 1);\n }\n }\n}\n\n// `contribution` is weighted and decides ranking. `raw` ignores the synonym\n// discount and decides relevance: whether a caller said \"cops\" or \"police\"\n// changes which entry wins, but not whether the corpus has an answer at all.\nexport type FaqMatch = { term: string; contribution: number; raw: number };\nexport type FaqHit = {\n entry: FaqEntry;\n score: number;\n rawScore: number;\n matched: FaqMatch[];\n};\n\nexport function faqSearch(query: string, limit = 3): FaqHit[] {\n indexBuild();\n const docs = index!;\n const df = docFreq!;\n const N = docs.length;\n const qTerms = queryTerms(query);\n if (qTerms.length === 0) return [];\n\n const scored = docs.map((doc) => {\n const matched: FaqMatch[] = [];\n let score = 0;\n let rawScore = 0;\n for (const { term, weight } of qTerms) {\n const n = df.get(term) ?? 0;\n if (n === 0) continue;\n const f = doc.terms.filter((t) => t === term).length;\n if (f === 0) continue;\n const idf = Math.log(1 + (N - n + 0.5) / (n + 0.5));\n const raw = idf * (f * (K1 + 1)) /\n (f + K1 * (1 - B + B * (doc.length / avgLength)));\n score += weight * raw;\n rawScore += raw;\n matched.push({\n term,\n contribution: Math.round(weight * raw * 100) / 100,\n raw: Math.round(raw * 100) / 100,\n });\n }\n matched.sort((a, b) => b.contribution - a.contribution);\n return { entry: doc.entry, score, rawScore, matched };\n });\n\n return scored\n .filter((h) => h.score > 0)\n .sort((a, b) => b.score - a.score)\n .slice(0, limit);\n}\n\n// The gate between \"the corpus answers this\" and \"it doesn't\".\n//\n// BM25 always returns something: every query that shares one common word with\n// the corpus gets a non-zero score. Without a floor the agent answered \"how do\n// I add a driver to my policy\" — a policy-service question this claims FAQ has\n// nothing to say about — out of the flood-claim entry, at a score of 2.75.\n//\n// Two conditions, because either alone misfires. A total-score floor alone\n// rejects short legitimate questions (\"what is PIP\" scores 3.4). A best-term\n// floor alone accepts a query that lands one good word inside an otherwise\n// unrelated question. Both must hold.\n// Measured against the probe set at /api/faq, not guessed. Stemming lowered\n// every score — more entries share a stem, so idf fell — so these came down\n// with it. Score alone cannot separate the last few cases: \"when can I start\n// repairs\" scores 2.62 and deserves an answer, \"can I cancel my policy\" scores\n// 2.73 and does not. The out-of-scope list below is what separates those, and\n// these floors only have to catch queries about nothing at all.\nconst MIN_SCORE = 2.4;\nconst MIN_BEST_TERM = 1.8;\n\n// Policy service, not claims. These questions have real answers, but not in\n// this corpus: billing, quoting, and policy changes live in another system.\n// Lexical scoring cannot tell them apart on its own — \"how do I pay my bill\"\n// matched the PIP deductible entry on the word \"pay\" at a comfortable 4.3 —\n// so the intent is named explicitly. Phrases, not bare words, because \"bills\"\n// alone would swallow \"where do I send my medical bills\".\nconst OUT_OF_SCOPE = [\n /\\bpremium\\b/,\n /\\bautopay\\b/,\n /\\bbilling\\b/,\n /\\binvoice\\b/,\n /\\bmy (policy|account) number\\b/,\n /\\bdiscount/,\n /\\bquote\\b/,\n /\\bid card\\b/,\n /\\bdeclarations?\\b/,\n /\\bpay (my|the|a) bill/,\n /\\bpay(ing)? (my|the) (policy|premium|insurance)/,\n /\\b(cancel|renew|switch|change|update) (my|the|our)\\b/,\n /\\badd (a |an |another )?(driver|vehicle|car|person)\\b/,\n /\\bremove (a |an |my )?(driver|vehicle|car)\\b/,\n];\n\nexport function faqOutOfScope(query: string): boolean {\n const q = query.toLowerCase();\n return OUT_OF_SCOPE.some((re) => re.test(q));\n}\n\nexport function faqRelevant(hit: FaqHit | undefined, query = \"\"): boolean {\n if (!hit) return false;\n if (query && faqOutOfScope(query)) return false;\n return hit.rawScore >= MIN_SCORE &&\n (hit.matched[0]?.raw ?? 0) >= MIN_BEST_TERM;\n}\n\n// What the reasoner reads. The passage is quoted rather than summarised,\n// because the point of retrieval is that the words are the carrier's own.\n//\n// A miss reports which kind of miss it was and stops. What to say about it is\n// in the reasoner prompt, which distinguishes the two cases; repeating that\n// here put the same rule in two places and let them drift.\nexport function faqResult(query: string): string {\n const hits = faqSearch(query, 2);\n if (!faqRelevant(hits[0], query)) {\n return faqOutOfScope(query)\n ? `No match. The question is policy service (billing, pricing, or a policy change), which this claims FAQ does not cover.`\n : `No match in the published claims FAQ.`;\n }\n const top = hits[0]!;\n const lines = [\n `From the ${top.entry.category} claims FAQ, \"${top.entry.question}\":`,\n top.entry.answer,\n ];\n // Only when the runner-up is genuinely close. At 0.6 an unrelated entry rode\n // along behind every answer, which made the agent ramble.\n if (hits[1] && faqRelevant(hits[1], query) && hits[1].score > top.score * 0.8) {\n lines.push(\n `Related if they push further, \"${hits[1].entry.question}\": ${hits[1].entry.answer}`,\n );\n }\n return lines.join(\" \");\n}\n",[],[90],["D",1789426227362],[],[19],"5909427d-3f98-4ea5-b781-6c5bc552d575","dashboard.ts","649ebe7e-b071-11f1-9dc7-1607ee4eb77e",86,["D",1789505623389],24,"// FNOL dashboard. Three state cards across the top carrying values, three\n// streams below. Structure borrowed from the Sofía demo, which reads better\n// than a single crowded column because state and streams are different things.\n\nexport function dashboardHtml(brand: string): string {\n return `\n\n\n\n\n${brand} · claims\n\n\n\n\n\n\n\n\n

\n ${brand}\n \n \n

Live demo

Claims, after hours

\n \n

\n \n \n

\n \n waiting\n 00:00\n \n \n \n

\n\n

Loss

Not yet reported

Anyone hurt

Not yet asked

Claim

Not opened

\n\n

01 · Live transcriptspeaker · gpt-live-1

💬

Live transcript

02 · Tool callsreasoner · terra · low

⚡

Tool calls

03 · Claim

\n \n

Type: waiting
Date: waiting
Location: waiting
What happened: waiting
Injuries: waiting
Damage: waiting
Police: waiting

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