Template
Initial commit
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import {
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activateAccount,
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toCustomerGid,
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customerErrorMessage,
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} from '@/services/shopify/customer';
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import { setSessionToken } from '@/services/shopify/session';
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export async function POST(req: Request) {
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const { id, activationToken, password } = await req.json();
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if (!id || !activationToken || !password) {
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return Response.json(
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{ error: 'This activation link is incomplete.' },
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{ status: 400 }
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);
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}
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const { token, errors } = await activateAccount(
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toCustomerGid(id),
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activationToken,
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password
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);
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if (!token) {
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return Response.json({ error: customerErrorMessage(errors) }, { status: 400 });
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}
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await setSessionToken(token.accessToken, token.expiresAt);
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return Response.json({ ok: true });
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}
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@@ -0,0 +1,31 @@
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import { login, customerErrorMessage } from '@/services/shopify/customer';
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import { setSessionToken } from '@/services/shopify/session';
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export async function POST(req: Request) {
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const { email, password } = await req.json();
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if (!email || !password) {
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return Response.json(
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{ error: 'Enter your email and password.' },
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{ status: 400 }
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);
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}
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const { token, errors } = await login(email, password);
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if (!token) {
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// Shopify distinguishes wrong-password from unknown-email; collapse both so
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// the form can't be used to enumerate accounts.
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return Response.json(
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{
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error: errors.length
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? 'Incorrect email or password.'
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: customerErrorMessage(errors),
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},
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{ status: 401 }
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);
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}
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await setSessionToken(token.accessToken, token.expiresAt);
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return Response.json({ ok: true });
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}
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@@ -0,0 +1,10 @@
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import { logout } from '@/services/shopify/customer';
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import { getSessionToken, clearSessionToken } from '@/services/shopify/session';
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export async function POST() {
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const token = await getSessionToken();
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if (token) await logout(token);
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await clearSessionToken();
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return Response.json({ ok: true });
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}
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@@ -0,0 +1,19 @@
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import { getSessionToken } from '@/services/shopify/session';
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import { getCustomer } from '@/services/shopify/customer';
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// Minimal session probe for the header menu — never returns the access token.
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export async function GET() {
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const token = await getSessionToken();
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if (!token) return Response.json({ customer: null });
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const customer = await getCustomer(token, 0);
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if (!customer) return Response.json({ customer: null });
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return Response.json({
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customer: {
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displayName: customer.displayName,
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email: customer.email,
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firstName: customer.firstName,
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},
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});
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}
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@@ -0,0 +1,10 @@
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import { recoverPassword } from '@/services/shopify/customer';
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export async function POST(req: Request) {
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const { email } = await req.json();
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if (email) await recoverPassword(email);
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// Always the same response, so the form can't reveal who has an account.
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return Response.json({ ok: true });
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}
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@@ -0,0 +1,39 @@
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import {
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createCustomer,
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login,
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customerErrorMessage,
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} from '@/services/shopify/customer';
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import { setSessionToken } from '@/services/shopify/session';
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export async function POST(req: Request) {
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const { email, password, firstName, lastName } = await req.json();
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if (!email || !password) {
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return Response.json(
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{ error: 'Enter your email and password.' },
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{ status: 400 }
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);
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}
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const { errors } = await createCustomer({
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email,
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password,
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firstName,
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lastName,
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});
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if (errors.length) {
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return Response.json({ error: customerErrorMessage(errors) }, { status: 400 });
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}
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// Sign the new customer straight in. Accounts needing email confirmation
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// won't return a token yet, which is not an error.
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const { token } = await login(email, password);
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if (token) {
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await setSessionToken(token.accessToken, token.expiresAt);
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return Response.json({ ok: true, signedIn: true });
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}
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return Response.json({ ok: true, signedIn: false });
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}
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@@ -0,0 +1,27 @@
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import {
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resetPassword,
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toCustomerGid,
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customerErrorMessage,
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} from '@/services/shopify/customer';
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import { setSessionToken } from '@/services/shopify/session';
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export async function POST(req: Request) {
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const { id, resetToken, password } = await req.json();
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if (!id || !resetToken || !password) {
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return Response.json({ error: 'This reset link is incomplete.' }, { status: 400 });
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}
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const { token, errors } = await resetPassword(
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toCustomerGid(id),
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resetToken,
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password
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);
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if (!token) {
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return Response.json({ error: customerErrorMessage(errors) }, { status: 400 });
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}
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await setSessionToken(token.accessToken, token.expiresAt);
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return Response.json({ ok: true });
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}
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import { streamText, tool, convertToModelMessages, stepCountIs } from 'ai';
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import { createOpenRouter } from '@openrouter/ai-sdk-provider';
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import { z } from 'zod';
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import {
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searchProducts,
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getProduct,
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getProductsPage,
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getCollections,
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getCollectionProductsPage,
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isDefaultTitleOption,
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isDefaultTitleSelection,
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} from '@/services/shopify/catalog';
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// Streaming needs the Node runtime here because the Storefront helpers run
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// server-side on each tool call.
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export const maxDuration = 30;
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const MODEL = process.env.OPENROUTER_MODEL ?? 'openai/gpt-5.6-luna-pro';
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const SYSTEM_PROMPT = `You are the shopping assistant for an online store built on Shopify.
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You help shoppers find products, compare options, and understand what the store
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carries. You have tools that read live catalogue data — always use them rather
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than guessing, and never invent products, prices, availability, or policies.
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Guidelines:
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- Call a tool whenever the answer depends on catalogue data. If a shopper asks
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something vague like "what do you have?", call listCollections or
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searchCatalogue to ground your answer.
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- Prices returned by the tools are in the store's currency; show them as given.
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- Link products as /products/{handle} and collections as /collections/{handle}
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so the shopper can click through.
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- Keep replies short and conversational — a sentence or two plus a compact list.
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Do not repeat the raw tool output; the interface already shows it.
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- If a tool returns nothing, say so plainly and suggest a different search.
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- You cannot place orders, change carts, process payments, or look up customer
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or order data. Say so and point the shopper to the relevant page instead.`;
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// Trim the Storefront payloads to what the model actually needs to answer.
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const summariseProduct = (product: {
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id: string;
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title: string;
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handle: string;
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description?: string;
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productType?: string;
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tags?: string[];
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priceRange: { minVariantPrice: { amount: string; currencyCode: string } };
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variants?: {
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edges: Array<{
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node: {
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title: string;
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availableForSale: boolean;
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selectedOptions?: Array<{ name: string; value: string }>;
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};
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}>;
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};
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images?: { edges: Array<{ node: { url: string } }> };
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options?: Array<{ name: string; values: string[] }>;
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}) => ({
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title: product.title,
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handle: product.handle,
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url: `/products/${product.handle}`,
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price: `${product.priceRange.minVariantPrice.amount} ${product.priceRange.minVariantPrice.currencyCode}`,
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image: product.images?.edges[0]?.node.url ?? null,
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description: product.description?.slice(0, 300) ?? null,
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productType: product.productType || null,
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tags: product.tags ?? [],
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options: product.options
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?.filter((option) => !isDefaultTitleOption(option))
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.map((option) => ({
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name: option.name,
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values: option.values,
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})),
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inStock: product.variants?.edges.some((edge) => edge.node.availableForSale),
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});
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export async function POST(req: Request) {
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const apiKey = process.env.OPENROUTER_API_KEY;
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if (!apiKey) {
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return new Response(
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JSON.stringify({ error: 'OPENROUTER_API_KEY is not configured.' }),
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{ status: 500, headers: { 'Content-Type': 'application/json' } }
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);
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}
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const { messages } = await req.json();
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const openrouter = createOpenRouter({ apiKey });
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const result = streamText({
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// `reasoning` asks OpenRouter to stream the model's thinking; the UI
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// renders it via the Reasoning component.
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model: openrouter(MODEL, { reasoning: { enabled: true, effort: 'medium' } }),
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system: SYSTEM_PROMPT,
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messages: await convertToModelMessages(messages),
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// Let the model call a tool, read the result, then answer.
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stopWhen: stepCountIs(5),
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tools: {
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searchCatalogue: tool({
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description:
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'Search the store for products matching a term. Use for any question about what the store sells.',
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inputSchema: z.object({
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query: z
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.string()
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.describe('Search terms, e.g. "green hoodie" or "jacket".'),
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limit: z.number().int().min(1).max(10).default(5),
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}),
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execute: async ({ query, limit }) => {
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const { products, totalCount } = await searchProducts({
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query,
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first: limit,
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});
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return {
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totalCount,
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products: products.map(summariseProduct),
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};
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},
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}),
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getProductDetails: tool({
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description:
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'Get full details for one product by its handle, including options, variants, and stock.',
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inputSchema: z.object({
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handle: z
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.string()
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.describe('The product handle, e.g. "flowguard-jacket".'),
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}),
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execute: async ({ handle }) => {
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const product = await getProduct(handle);
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if (!product) return { found: false, handle };
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return {
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found: true,
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...summariseProduct(product),
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variants: product.variants.edges.slice(0, 25).map(({ node }) => ({
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title: node.title,
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available: node.availableForSale,
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price: `${node.price.amount} ${node.price.currencyCode}`,
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options: node.selectedOptions?.filter(
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(option) => !isDefaultTitleSelection(option)
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),
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})),
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};
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},
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}),
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listCollections: tool({
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description:
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'List the store\'s collections. Use when the shopper asks what categories or ranges exist.',
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inputSchema: z.object({
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limit: z.number().int().min(1).max(25).default(10),
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}),
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execute: async ({ limit }) => {
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const collections = await getCollections(limit);
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return {
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collections: collections.map((collection) => ({
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title: collection.title,
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handle: collection.handle,
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url: `/collections/${collection.handle}`,
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description: collection.description?.slice(0, 200) ?? null,
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})),
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};
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},
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}),
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getCollectionProducts: tool({
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description:
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'List the products inside one collection, by collection handle.',
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inputSchema: z.object({
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handle: z.string().describe('The collection handle, e.g. "men".'),
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limit: z.number().int().min(1).max(20).default(8),
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}),
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execute: async ({ handle, limit }) => {
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const page = await getCollectionProductsPage(handle, { first: limit });
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if (!page.collection) return { found: false, handle };
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return {
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found: true,
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collection: page.collection.title,
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url: `/collections/${handle}`,
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products: page.products.map(summariseProduct),
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};
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},
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}),
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browseProducts: tool({
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description:
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'Browse the newest products when the shopper has no specific search term.',
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inputSchema: z.object({
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limit: z.number().int().min(1).max(20).default(8),
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}),
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execute: async ({ limit }) => {
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const page = await getProductsPage({
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first: limit,
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sortKey: 'CREATED_AT',
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reverse: true,
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});
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return { products: page.products.map(summariseProduct) };
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},
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}),
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},
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});
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// sendReasoning forwards reasoning parts to the client; without it the
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// stream carries text and tool calls only.
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return result.toUIMessageStreamResponse({ sendReasoning: true });
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}
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