feat(extract): drive NuExtract with its native template

NuExtract isn't an instruct model — fed a plain chat prompt it just echoes the
schema back. Detect a NuExtract model by id and talk to it the way the model
cards document: the JSON template inlined in a single user message, no system
prompt, no json_schema, temperature 0. Its flat result is mapped back to the
same KiReservation shape the rest of the pipeline already uses, so nothing
downstream changes; every other model keeps the generic prompt.

Money is taken as a verbatim string and parsed locally (German "1.580,22 €"
otherwise comes back as 1.49772), a rental car's pickup/return ride the from/to
fields so a stray form label doesn't become the location, and a lodging with no
name falls back to its address instead of being dropped.

server/src/nest/llm-parse/clients/nuextract.ts

@@ -0,0 +1,274 @@
+/**
+ * NuExtract adapter for the OpenAI-compatible client.
+ *
+ * NuExtract (NuMind) is not an instruct model — it is fine-tuned to fill a JSON
+ * *template* whose leaf values are type tokens ("verbatim-string", "date-time",
+ * …). Fed a generic chat instruction it just echoes the schema back, which is
+ * why a plain prompt produces garbage. Run through Ollama/llama.cpp the template
+ * has to be embedded INLINE in the user message under a `# Template:` header
+ * (llama.cpp ignores vLLM's chat_template_kwargs), with temperature 0.
+ *
+ * Rather than ask NuExtract for the nested schema.org shape (its template format
+ * can't express per-@type conditional fields), we give it ONE flat union template
+ * — its sweet spot — and map the flat result back into the `KiReservation` shape
+ * the kitinerary mapper consumes, so the whole downstream pipeline is unchanged.
+ */
+
+/** Detect a NuExtract model id (e.g. `hf.co/numind/NuExtract-2.0-2B-GGUF`, `nuextract`). */
+export function isNuExtractModel(model: string | undefined): boolean {
+  return !!model && /nuextract/i.test(model);
+}
+
+/**
+ * Flat union template covering every reservation type. NuExtract fills the
+ * relevant fields and returns the rest as null, so one template serves all docs.
+ *
+ * Deliberately flat (a single reservation, not an array). A small NuExtract (the
+ * 2B) returns an empty result when handed a nested `{ reservations: [ … ] }`
+ * array-of-objects template, but extracts reliably from a single flat object —
+ * so this path yields one reservation per document. Multi-segment itineraries
+ * (round trips) are left to the generic instruct path (qwen/cloud), which the
+ * system prompt already drives to emit every leg.
+ */
+export const NUEXTRACT_TEMPLATE = {
+  type: ['flight', 'train', 'bus', 'ferry', 'car', 'hotel', 'restaurant', 'event'],
+  name: 'verbatim-string',
+  booking_reference: 'verbatim-string',
+  operator: 'verbatim-string',
+  vehicle_number: 'verbatim-string',
+  // Departure/arrival double as a rental car's pick-up/return (place + time) — a
+  // separate pickup_location field only tempted the model to grab a nearby form
+  // label ("Location Terminal") instead of the actual depot.
+  from_name: 'verbatim-string',
+  from_code: 'verbatim-string',
+  to_name: 'verbatim-string',
+  to_code: 'verbatim-string',
+  departure_time: 'date-time',
+  arrival_time: 'date-time',
+  address: 'verbatim-string',
+  checkin_time: 'date-time',
+  checkout_time: 'date-time',
+  start_time: 'date-time',
+  end_time: 'date-time',
+  telephone: 'verbatim-string',
+  website: 'verbatim-string',
+  seat: 'verbatim-string',
+  travel_class: 'verbatim-string',
+  platform: 'verbatim-string',
+  // Verbatim so we parse the localized number ourselves — asking the model for a
+  // JSON number turns "1.580,22 €" (German thousands/decimal) into 1.49772.
+  price: 'verbatim-string',
+  currency: 'verbatim-string',
+};
+
+/**
+ * Build the NuExtract user-turn text: the template (pretty-printed with the
+ * indent the model cards use) followed by the document, under a `# Template:`
+ * header. This is the exact inline format the GGUF model cards document.
+ */
+export function buildNuExtractUserText(documentText: string): string {
+  return `# Template:\n${JSON.stringify(NUEXTRACT_TEMPLATE, null, 4)}\n${documentText}`;
+}
+
+/** NuExtract `type` token → schema.org reservation `@type`. */
+const TYPE_MAP: Record<string, string> = {
+  flight: 'FlightReservation',
+  train: 'TrainReservation',
+  bus: 'BusReservation',
+  ferry: 'BoatReservation',
+  boat: 'BoatReservation',
+  cruise: 'BoatReservation',
+  car: 'RentalCarReservation',
+  hotel: 'LodgingReservation',
+  lodging: 'LodgingReservation',
+  restaurant: 'FoodEstablishmentReservation',
+  event: 'EventReservation',
+};
+
+/** Recursively drop null/undefined/blank leaves and the empty objects/arrays they leave behind. */
+function clean(value: unknown): unknown {
+  if (Array.isArray(value)) {
+    const arr = value.map(clean).filter((v) => v !== undefined);
+    return arr.length ? arr : undefined;
+  }
+  if (value && typeof value === 'object') {
+    const out: Record<string, unknown> = {};
+    for (const [k, v] of Object.entries(value)) {
+      const c = clean(v);
+      if (c !== undefined) out[k] = c;
+    }
+    return Object.keys(out).length ? out : undefined;
+  }
+  if (value === null || value === undefined) return undefined;
+  if (typeof value === 'string' && value.trim() === '') return undefined;
+  return value;
+}
+
+/**
+ * Parse a localized money string into a plain number. Handles German
+ * ("1.580,22 €" → 1580.22) and English ("1,580.22"/"$89.00" → 89) grouping by
+ * treating the right-most separator as the decimal point. Returns null when there
+ * is no parseable amount.
+ */
+function parseAmount(raw: unknown): number | null {
+  if (typeof raw === 'number') return Number.isFinite(raw) ? raw : null;
+  if (typeof raw !== 'string') return null;
+  let s = raw.replace(/[^\d.,]/g, '');
+  if (!s) return null;
+  const lastComma = s.lastIndexOf(',');
+  const lastDot = s.lastIndexOf('.');
+  let decimal: ',' | '.' | null = null;
+  if (lastComma > -1 && lastDot > -1) {
+    decimal = lastComma > lastDot ? ',' : '.';
+  } else if (lastComma > -1) {
+    // A single comma with ≤2 trailing digits is a decimal point; otherwise grouping.
+    const parts = s.split(',');
+    decimal = parts.length === 2 && parts[1].length <= 2 ? ',' : null;
+  } else if (lastDot > -1) {
+    const parts = s.split('.');
+    decimal = parts.length === 2 && parts[1].length <= 2 ? '.' : null;
+  }
+  if (decimal) {
+    const grouping = decimal === ',' ? '.' : ',';
+    s = s.split(grouping).join('').replace(decimal, '.');
+  } else {
+    s = s.replace(/[.,]/g, '');
+  }
+  const n = Number(s);
+  return Number.isFinite(n) ? n : null;
+}
+
+/** Resolve an ISO 4217 currency from a symbol or code found in either field. */
+function parseCurrency(...candidates: unknown[]): string | undefined {
+  for (const c of candidates) {
+    if (typeof c !== 'string') continue;
+    const s = c.toUpperCase();
+    if (s.includes('€') || /\bEUR\b/.test(s)) return 'EUR';
+    if (s.includes('£') || /\bGBP\b/.test(s)) return 'GBP';
+    if (s.includes('$') || /\bUSD\b/.test(s)) return 'USD';
+    const iso = s.match(/\b([A-Z]{3})\b/);
+    if (iso) return iso[1];
+  }
+  return undefined;
+}
+
+/** A venue's display name, falling back to the address (or a generic label) so a
+ *  lodging/restaurant/event is never silently dropped when the model misses the name. */
+function nameOrFallback(x: Record<string, unknown>, fallback: string): string {
+  const name = typeof x.name === 'string' ? x.name.trim() : '';
+  if (name) return name;
+  const address = typeof x.address === 'string' ? x.address.trim() : '';
+  if (address) return address.split(',')[0].trim();
+  return fallback;
+}
+
+/** Map one flat NuExtract reservation into a schema.org `KiReservation` node (or undefined). */
+function buildNode(x: Record<string, unknown>): Record<string, unknown> | undefined {
+  const atType = TYPE_MAP[String(x.type ?? '').toLowerCase().trim()];
+  if (!atType) return undefined;
+
+  const node: Record<string, unknown> = {
+    '@type': atType,
+    reservationNumber: x.booking_reference,
+    seat: x.seat,
+    class: x.travel_class,
+    platform: x.platform,
+    price: parseAmount(x.price) ?? undefined,
+    priceCurrency: parseCurrency(x.currency, x.price),
+  };
+
+  switch (atType) {
+    case 'FlightReservation':
+      node.reservationFor = {
+        flightNumber: x.vehicle_number,
+        airline: x.operator ? { name: x.operator } : undefined,
+        departureAirport: { iataCode: x.from_code, name: x.from_name },
+        arrivalAirport: { iataCode: x.to_code, name: x.to_name },
+        departureTime: x.departure_time,
+        arrivalTime: x.arrival_time,
+      };
+      break;
+    case 'TrainReservation':
+      node.reservationFor = {
+        trainNumber: x.vehicle_number,
+        departureStation: { name: x.from_name },
+        arrivalStation: { name: x.to_name },
+        departureTime: x.departure_time,
+        arrivalTime: x.arrival_time,
+      };
+      break;
+    case 'BusReservation':
+      node.reservationFor = {
+        busNumber: x.vehicle_number,
+        departureBusStop: { name: x.from_name },
+        arrivalBusStop: { name: x.to_name },
+        departureTime: x.departure_time,
+        arrivalTime: x.arrival_time,
+      };
+      break;
+    case 'BoatReservation':
+      node.reservationFor = {
+        name: x.name ?? x.operator,
+        departureBoatTerminal: { name: x.from_name },
+        arrivalBoatTerminal: { name: x.to_name },
+        departureTime: x.departure_time,
+        arrivalTime: x.arrival_time,
+      };
+      break;
+    case 'LodgingReservation':
+      node.reservationFor = { name: nameOrFallback(x, 'Accommodation'), address: x.address, telephone: x.telephone, url: x.website };
+      node.checkinTime = x.checkin_time;
+      node.checkoutTime = x.checkout_time;
+      break;
+    case 'FoodEstablishmentReservation':
+      node.reservationFor = { name: nameOrFallback(x, 'Restaurant'), address: x.address, telephone: x.telephone, url: x.website };
+      node.startTime = x.start_time;
+      node.endTime = x.end_time;
+      break;
+    case 'RentalCarReservation':
+      // Pick-up / return ride the transport from/to fields (see template comment).
+      node.reservationFor = { name: x.name, rentalCompany: x.operator ? { name: x.operator } : undefined };
+      node.pickupTime = x.departure_time;
+      node.dropoffTime = x.arrival_time;
+      node.pickupLocation = { name: x.from_name, address: x.address };
+      node.dropoffLocation = { name: x.to_name };
+      break;
+    case 'EventReservation':
+      node.reservationFor = {
+        name: nameOrFallback(x, 'Event'),
+        startDate: x.start_time,
+        endDate: x.end_time,
+        location: { address: x.address, telephone: x.telephone, url: x.website },
+      };
+      node.startTime = x.start_time;
+      node.endTime = x.end_time;
+      break;
+  }
+
+  return clean(node) as Record<string, unknown> | undefined;
+}
+
+/**
+ * Convert a parsed NuExtract response into schema.org `KiReservation` nodes.
+ * Accepts the `{ reservations: [...] }` wrapper the template asks for, a bare
+ * array, or a single object. Unrecognized/empty entries are dropped.
+ */
+export function nuExtractToKiReservations(parsed: unknown): Record<string, unknown>[] {
+  const wrapped = (parsed as { reservations?: unknown })?.reservations;
+  const list = Array.isArray(wrapped)
+    ? wrapped
+    : Array.isArray(parsed)
+      ? parsed
+      : parsed && typeof parsed === 'object'
+        ? [parsed]
+        : [];
+
+  const out: Record<string, unknown>[] = [];
+  for (const entry of list) {
+    if (entry && typeof entry === 'object') {
+      const node = buildNode(entry as Record<string, unknown>);
+      if (node) out.push(node);
+    }
+  }
+  return out;
+}

server/src/nest/llm-parse/clients/openai-compatible.client.ts

@@ -1,4 +1,5 @@
 import type { LlmExtractionClient, LlmExtractionInput } from '../llm-provider.interface';
+import { isNuExtractModel, buildNuExtractUserText, nuExtractToKiReservations } from './nuextract';
 
 // Generous: a local CPU model (Ollama, no GPU) may cold-load several GB and then
 // take a few minutes on a longer document before the first token.
@@ -11,19 +12,25 @@ const MAX_TOKENS = 4096;
  * which all expose `POST {baseUrl}/chat/completions`. Native binaries (PDF) are
  * sent as an OpenAI `file` content part; text goes as a text part. Uses the
  * global fetch (no SDK) to match the codebase's HTTP style.
+ *
+ * A NuExtract model (detected by id) takes a different request shape: the JSON
+ * template inlined in a single user message, no system prompt and no
+ * `response_format` (see ./nuextract.ts) — that's how the fine-tune expects to
+ * be driven; the generic instruct path applies to every other model.
  */
 export class OpenAiCompatibleClient implements LlmExtractionClient {
   async extract(input: LlmExtractionInput): Promise<Record<string, unknown>[]> {
     const base = (input.baseUrl ?? 'https://api.openai.com/v1').replace(/\/+$/, '');
     const url = `${base}/chat/completions`;
+    const nuextract = isNuExtractModel(input.model);
 
-    const userContent: unknown[] = [
-      { type: 'text', text: input.text ? `${USER_TEXT}\n\n${input.text}` : USER_TEXT },
-    ];
+    const userContent: unknown[] = nuextract
+      ? [{ type: 'text', text: buildNuExtractUserText(input.text ?? '') }]
+      : [{ type: 'text', text: input.text ? `${USER_TEXT}\n\n${input.text}` : USER_TEXT }];
     // Only genuine images go natively (as image_url) — OpenAI-compatible servers
     // (notably Ollama) reject `file`/PDF content parts. PDFs reach this client as
     // pre-extracted text (see llm-parse.service.ts), never as bytes.
-    if (input.file && input.file.mimeType.startsWith('image/')) {
+    if (!nuextract && input.file && input.file.mimeType.startsWith('image/')) {
       const b64 = input.file.data.toString('base64');
       userContent.push({
         type: 'image_url',
@@ -37,14 +44,22 @@ export class OpenAiCompatibleClient implements LlmExtractionClient {
       // Extraction is a deterministic task — Ollama defaults to 0.7, which makes
       // small models (NuExtract) drop fields or return empty. Pin to 0.
       temperature: 0,
-      messages: [
-        { role: 'system', content: input.prompt },
-        { role: 'user', content: userContent },
-      ],
-      response_format: {
-        type: 'json_schema',
-        json_schema: { name: 'reservations', schema: input.jsonSchema, strict: false },
-      },
+      // NuExtract wants the template (in the user turn) to be the only instruction
+      // — a system prompt or a json_schema grammar derails it.
+      messages: nuextract
+        ? [{ role: 'user', content: userContent }]
+        : [
+            { role: 'system', content: input.prompt },
+            { role: 'user', content: userContent },
+          ],
+      ...(nuextract
+        ? {}
+        : {
+            response_format: {
+              type: 'json_schema' as const,
+              json_schema: { name: 'reservations', schema: input.jsonSchema, strict: false },
+            },
+          }),
     };
 
     const controller = new AbortController();
@@ -73,22 +88,31 @@ export class OpenAiCompatibleClient implements LlmExtractionClient {
       choices?: { message?: { content?: string } }[];
     };
     const content = data.choices?.[0]?.message?.content;
-    return parseReservations(content);
+    return nuextract ? parseNuExtract(content) : parseReservations(content);
   }
 }
 
+/** Strip code fences and JSON.parse; `null` on failure. */
+function parseJson(content: string | undefined | null): unknown {
+  if (!content) return null;
+  const stripped = content.trim().replace(/^```(?:json)?/i, '').replace(/```$/, '').trim();
+  try {
+    return JSON.parse(stripped);
+  } catch {
+    return null;
+  }
+}
+
+/** Parse a NuExtract response and map its flat template output to KiReservation nodes. */
+function parseNuExtract(content: string | undefined | null): Record<string, unknown>[] {
+  return nuExtractToKiReservations(parseJson(content));
+}
+
 const USER_TEXT = 'Extract every travel reservation from the following document as schema.org JSON-LD.';
 
 /** Tolerant parse: strip code fences, JSON.parse, pull `reservations`. `[]` on failure. */
 function parseReservations(content: string | undefined | null): Record<string, unknown>[] {
-  if (!content) return [];
-  const stripped = content.trim().replace(/^```(?:json)?/i, '').replace(/```$/, '').trim();
-  let parsed: unknown;
-  try {
-    parsed = JSON.parse(stripped);
-  } catch {
-    return [];
-  }
+  const parsed = parseJson(content);
   if (Array.isArray(parsed)) return parsed as Record<string, unknown>[];
   if (parsed && typeof parsed === 'object' && Array.isArray((parsed as { reservations?: unknown }).reservations)) {
     return (parsed as { reservations: Record<string, unknown>[] }).reservations;

server/tests/unit/nest/llm-parse/clients.test.ts

@@ -64,6 +64,53 @@ describe('OpenAiCompatibleClient', () => {
   });
 });
 
+describe('OpenAiCompatibleClient — NuExtract path', () => {
+  it('inlines the template in one user message (no system, no response_format) and maps the flat result', async () => {
+    const fetchFn = mockFetch(() =>
+      jsonResponse({
+        choices: [
+          {
+            message: {
+              content: JSON.stringify({
+                reservations: [
+                  { type: 'hotel', name: 'B&B Hotel', booking_reference: '733', checkin_time: '2026-05-01T15:00:00', checkout_time: '2026-05-02T12:00:00' },
+                ],
+              }),
+            },
+          },
+        ],
+      }),
+    );
+    const out = await new OpenAiCompatibleClient().extract({ ...baseInput, model: 'hf.co/numind/NuExtract-2.0-2B-GGUF:latest', text: 'Hotel doc' });
+
+    expect(out).toEqual([
+      {
+        '@type': 'LodgingReservation',
+        reservationNumber: '733',
+        reservationFor: { name: 'B&B Hotel' },
+        checkinTime: '2026-05-01T15:00:00',
+        checkoutTime: '2026-05-02T12:00:00',
+      },
+    ]);
+
+    const body = JSON.parse((fetchFn.mock.calls[0][1] as RequestInit).body as string);
+    expect(body.messages).toHaveLength(1);
+    expect(body.messages[0].role).toBe('user');
+    expect(body.messages[0].content[0].text.startsWith('# Template:')).toBe(true);
+    expect(body.messages[0].content[0].text.endsWith('Hotel doc')).toBe(true);
+    expect(body.temperature).toBe(0);
+    expect(body.response_format).toBeUndefined();
+  });
+
+  it('keeps the system prompt and response_format for non-NuExtract models', async () => {
+    const fetchFn = mockFetch(() => jsonResponse({ choices: [{ message: { content: '{"reservations":[]}' } }] }));
+    await new OpenAiCompatibleClient().extract({ ...baseInput, model: 'qwen2.5:7b' });
+    const body = JSON.parse((fetchFn.mock.calls[0][1] as RequestInit).body as string);
+    expect(body.messages[0].role).toBe('system');
+    expect(body.response_format).toBeDefined();
+  });
+});
+
 describe('AnthropicClient', () => {
   it('forces the emit_reservations tool and reads its input', async () => {
     const fetchFn = mockFetch(() =>

server/tests/unit/nest/llm-parse/nuextract.test.ts

@@ -0,0 +1,168 @@
+import { describe, it, expect } from 'vitest';
+import {
+  isNuExtractModel,
+  buildNuExtractUserText,
+  nuExtractToKiReservations,
+  NUEXTRACT_TEMPLATE,
+} from '../../../../src/nest/llm-parse/clients/nuextract';
+
+describe('isNuExtractModel', () => {
+  it('matches NuExtract ids case-insensitively', () => {
+    expect(isNuExtractModel('hf.co/numind/NuExtract-2.0-2B-GGUF:latest')).toBe(true);
+    expect(isNuExtractModel('hf.co/numind/NuExtract3-GGUF:Q4_K_M')).toBe(true);
+    expect(isNuExtractModel('nuextract')).toBe(true);
+  });
+  it('does not match generic instruct models', () => {
+    expect(isNuExtractModel('qwen2.5:7b')).toBe(false);
+    expect(isNuExtractModel('gpt-4o')).toBe(false);
+    expect(isNuExtractModel(undefined)).toBe(false);
+  });
+});
+
+describe('buildNuExtractUserText', () => {
+  it('inlines the template under a "# Template:" header followed by the document', () => {
+    const text = buildNuExtractUserText('Hotel confirmation 123');
+    expect(text.startsWith('# Template:\n')).toBe(true);
+    expect(text).toContain('"verbatim-string"');
+    expect(text).toContain(JSON.stringify(NUEXTRACT_TEMPLATE, null, 4));
+    expect(text.endsWith('Hotel confirmation 123')).toBe(true);
+  });
+});
+
+describe('nuExtractToKiReservations', () => {
+  it('maps a flat flight into a schema.org FlightReservation with from/to airports', () => {
+    const out = nuExtractToKiReservations({
+      reservations: [
+        {
+          type: 'flight',
+          name: 'LH 198',
+          booking_reference: '7XK2QP',
+          operator: 'Lufthansa',
+          vehicle_number: 'LH198',
+          from_name: 'Berlin Brandenburg (BER)',
+          from_code: 'BER',
+          to_name: 'Frankfurt am Main (FRA)',
+          to_code: 'FRA',
+          departure_time: '2026-07-12T08:35:00',
+          arrival_time: '2026-07-12T09:50:00',
+          pickup_location: null,
+          seat: '14A',
+          travel_class: 'Economy',
+          platform: null,
+          price: 149,
+          currency: 'EUR',
+        },
+      ],
+    });
+    expect(out).toEqual([
+      {
+        '@type': 'FlightReservation',
+        reservationNumber: '7XK2QP',
+        seat: '14A',
+        class: 'Economy',
+        price: 149,
+        priceCurrency: 'EUR',
+        reservationFor: {
+          flightNumber: 'LH198',
+          airline: { name: 'Lufthansa' },
+          departureAirport: { iataCode: 'BER', name: 'Berlin Brandenburg (BER)' },
+          arrivalAirport: { iataCode: 'FRA', name: 'Frankfurt am Main (FRA)' },
+          departureTime: '2026-07-12T08:35:00',
+          arrivalTime: '2026-07-12T09:50:00',
+        },
+      },
+    ]);
+  });
+
+  it('maps a hotel with check-in/out at the reservation root', () => {
+    const [node] = nuExtractToKiReservations({
+      reservations: [
+        {
+          type: 'hotel',
+          name: 'B&B Hotel Berlin-Airport',
+          booking_reference: '73365505188894',
+          address: 'Bertolt-Brecht-Allee 12, 12529 Schoenefeld',
+          checkin_time: '2026-05-01T15:00:00',
+          checkout_time: '2026-05-02T12:00:00',
+          from_name: null,
+          price: 89,
+          currency: 'EUR',
+        },
+      ],
+    });
+    expect(node).toEqual({
+      '@type': 'LodgingReservation',
+      reservationNumber: '73365505188894',
+      price: 89,
+      priceCurrency: 'EUR',
+      reservationFor: { name: 'B&B Hotel Berlin-Airport', address: 'Bertolt-Brecht-Allee 12, 12529 Schoenefeld' },
+      checkinTime: '2026-05-01T15:00:00',
+      checkoutTime: '2026-05-02T12:00:00',
+    });
+  });
+
+  it('maps a rental car — pickup/return ride the from/to fields, money is parsed', () => {
+    const [node] = nuExtractToKiReservations([
+      {
+        type: 'car',
+        name: 'VW Golf',
+        operator: 'SICILY BY CAR',
+        booking_reference: 'CAR1',
+        from_name: 'Catania Airport',
+        to_name: 'Palermo Airport',
+        departure_time: '2026-12-24T10:00:00',
+        arrival_time: '2026-12-29T10:00:00',
+        address: 'Via Roma 1',
+        price: '€215,50',
+        currency: '€',
+      },
+    ]);
+    expect(node).toEqual({
+      '@type': 'RentalCarReservation',
+      reservationNumber: 'CAR1',
+      price: 215.5,
+      priceCurrency: 'EUR',
+      reservationFor: { name: 'VW Golf', rentalCompany: { name: 'SICILY BY CAR' } },
+      pickupTime: '2026-12-24T10:00:00',
+      dropoffTime: '2026-12-29T10:00:00',
+      pickupLocation: { name: 'Catania Airport', address: 'Via Roma 1' },
+      dropoffLocation: { name: 'Palermo Airport' },
+    });
+  });
+
+  it('parses localized money strings and currency symbols', () => {
+    const [de] = nuExtractToKiReservations({ type: 'hotel', name: 'X', price: '1.580,22 €' });
+    expect(de.price).toBe(1580.22);
+    expect(de.priceCurrency).toBe('EUR');
+    const [en] = nuExtractToKiReservations({ type: 'hotel', name: 'Y', price: '$1,580.22' });
+    expect(en.price).toBe(1580.22);
+    expect(en.priceCurrency).toBe('USD');
+    const [plain] = nuExtractToKiReservations({ type: 'hotel', name: 'Z', price: 'EUR 89,00' });
+    expect(plain.price).toBe(89);
+    expect(plain.priceCurrency).toBe('EUR');
+  });
+
+  it('falls back to the address instead of dropping a nameless lodging', () => {
+    const [node] = nuExtractToKiReservations({
+      type: 'hotel',
+      booking_reference: 'HMHJ9RTEEK',
+      address: "Via Aldo Moro, 47 n. 15, Quarto d'Altino",
+    });
+    expect(node['@type']).toBe('LodgingReservation');
+    expect((node.reservationFor as Record<string, unknown>).name).toBe('Via Aldo Moro');
+  });
+
+  it('accepts a bare object and drops unknown types', () => {
+    expect(nuExtractToKiReservations({ type: 'flight', from_name: 'A', to_name: 'B' })).toEqual([
+      {
+        '@type': 'FlightReservation',
+        reservationFor: {
+          departureAirport: { name: 'A' },
+          arrivalAirport: { name: 'B' },
+        },
+      },
+    ]);
+    expect(nuExtractToKiReservations({ reservations: [{ type: 'spaceship' }] })).toEqual([]);
+    expect(nuExtractToKiReservations(null)).toEqual([]);
+  });
+});