feat: cooking assistant can propose adding items to a shopping list
Second tool alongside createRecipe, same safety shape: addToShoppingList's execute only validates/echoes input, no DB write. The proposal card lets the user pick an existing list (fetched lazily) or name a new one, then confirms through the exact two-call flow AddToShoppingListButton already uses — POST /api/v1/shopping-lists (if new) then POST .../items — no new persistence code path. generateMealPlan intentionally not built as a tool: the existing /api/v1/ai/meal-plan/generate endpoint generates and writes in one step with a week/preferences input, not a specific plan payload, so it has no "save this exact draft" entry point to confirm against without a larger refactor. Documented as a known gap rather than forcing a weaker pattern. v0.46.0
This commit is contained in:
Arnaud
@@ -2,6 +2,13 @@
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All notable changes to Epicure are documented here. This file is mirrored in-app at `/changelog` (and in the admin dashboard) via `apps/web/lib/changelog.ts` — update both together.
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## 0.46.0 — 2026-07-17 18:00
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### Added
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- The cooking assistant can now also propose adding items to a shopping list ("add that to my shopping list") — pick an existing list or name a new one, then confirm. Same no-action-without-confirmation pattern as recipe creation, going through the same endpoints the manual "Add to shopping list" button already uses.
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Note: generateMealPlan is still not built as a chat tool — the existing meal-plan-generation endpoint generates and saves in one step with its own input shape (week/preferences, not a specific plan to save), so it doesn't fit the draft-then-confirm pattern the other two tools use without a larger change to that endpoint.
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## 0.45.0 — 2026-07-17 17:30
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### Added
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@@ -9,6 +9,7 @@ import { getModelConfigForUseCase } from "@/lib/ai/resolve-user-key";
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import { resolveModel } from "@/lib/ai/factory";
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import { getUserPrivateBio, buildUserBioContext } from "@/lib/ai/user-bio";
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import { createRecipeTool } from "@/lib/ai/tools/create-recipe-tool";
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import { addToShoppingListTool } from "@/lib/ai/tools/add-to-shopping-list-tool";
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const Schema = z.object({
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question: z.string().min(1).max(500),
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@@ -44,9 +45,9 @@ export async function POST(req: NextRequest) {
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const result = await withAiQuota(session!.user.id, session!.user.tier as "free" | "pro" | "team", () =>
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generateText({
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model,
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system: `You are Epicure, a helpful culinary assistant answering general cooking questions — not tied to any specific recipe (techniques, substitutions, timing, equipment, food safety, etc). If asked who you are or what model/AI you're built on, say you're Epicure — never name the underlying model or provider. If a question has nothing to do with cooking or food, politely redirect. Keep answers under 200 words. Respond in ${lang}.\n\nYou can propose creating a recipe with the createRecipe tool when the user explicitly asks you to create, save, or write down a recipe — e.g. "make me a recipe for X" or "write that down as a recipe". Don't call it just because a recipe came up in conversation. When you do call it, still write a short text reply too (e.g. "Here's a draft — check it below and confirm if it looks right"), since calling the tool only drafts the recipe for the user to review; it never saves anything by itself.${bioContext}`,
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system: `You are Epicure, a helpful culinary assistant answering general cooking questions — not tied to any specific recipe (techniques, substitutions, timing, equipment, food safety, etc). If asked who you are or what model/AI you're built on, say you're Epicure — never name the underlying model or provider. If a question has nothing to do with cooking or food, politely redirect. Keep answers under 200 words. Respond in ${lang}.\n\nYou have two tools, both of which only draft something for the user to review — neither saves anything by itself, so still write a short text reply too when you use one (e.g. "Here's a draft — check it below and confirm if it looks right").\n- createRecipe: only when the user explicitly asks you to create, save, or write down a recipe (e.g. "make me a recipe for X", "write that down as a recipe"). Don't call it just because a recipe came up in conversation.\n- addToShoppingList: only when the user explicitly asks to add ingredients/items to a shopping list (e.g. "add that to my shopping list").${bioContext}`,
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prompt: parsed.data.question,
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tools: { createRecipe: createRecipeTool },
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tools: { createRecipe: createRecipeTool, addToShoppingList: addToShoppingListTool },
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stopWhen: stepCountIs(3),
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}), { skipQuota: aiConfig.isByok }
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);
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@@ -54,6 +55,7 @@ export async function POST(req: NextRequest) {
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const { conversationId } = parsed.data;
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const proposedRecipe = result.data.toolCalls.find((c) => c.toolName === "createRecipe")?.input;
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const proposedShoppingList = result.data.toolCalls.find((c) => c.toolName === "addToShoppingList")?.input;
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void db.insert(chatMessages).values([
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{ id: crypto.randomUUID(), userId: session!.user.id, recipeId: null, conversationId, role: "user", content: parsed.data.question },
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@@ -72,5 +74,5 @@ export async function POST(req: NextRequest) {
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`).catch((err) => console.error("[cooking-chat] failed to touch conversation", err));
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}
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return NextResponse.json({ answer: result.data.text, proposedRecipe });
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return NextResponse.json({ answer: result.data.text, proposedRecipe, proposedShoppingList });
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}
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@@ -12,6 +12,7 @@ import ReactMarkdown from "react-markdown";
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import { cn } from "@/lib/utils";
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import { ChatHistorySearch } from "./chat-history-search";
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import { ConversationMenu, type Conversation } from "./conversation-menu";
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import { ShoppingListProposalCard, type ShoppingListProposal } from "./shopping-list-proposal-card";
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type RecipeProposal = {
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title: string;
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@@ -25,11 +26,15 @@ type RecipeProposal = {
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steps: Array<{ instruction: string }>;
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};
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type ProposalStatus = "pending" | "creating" | "created" | "discarded";
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type Message = {
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role: "user" | "assistant";
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content: string;
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proposedRecipe?: RecipeProposal;
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proposalStatus?: "pending" | "creating" | "created" | "discarded";
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proposalStatus?: ProposalStatus;
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proposedShoppingList?: ShoppingListProposal;
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shoppingProposalStatus?: ProposalStatus;
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};
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type HistoryEntry = { role: "user" | "assistant"; content: string };
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@@ -119,7 +124,12 @@ export function CookingAssistantPanel() {
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headers: { "Content-Type": "application/json" },
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body: JSON.stringify({ question, conversationId: conversationId ?? undefined }),
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});
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const data = await res.json() as { answer?: string; error?: string; proposedRecipe?: RecipeProposal };
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const data = await res.json() as {
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answer?: string;
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error?: string;
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proposedRecipe?: RecipeProposal;
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proposedShoppingList?: ShoppingListProposal;
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};
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setMessages((prev) => [
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...prev,
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{
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@@ -127,6 +137,8 @@ export function CookingAssistantPanel() {
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content: data.answer ?? t("sorry"),
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proposedRecipe: data.proposedRecipe,
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proposalStatus: data.proposedRecipe ? "pending" : undefined,
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proposedShoppingList: data.proposedShoppingList,
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shoppingProposalStatus: data.proposedShoppingList ? "pending" : undefined,
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},
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]);
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} catch {
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@@ -182,6 +194,10 @@ export function CookingAssistantPanel() {
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setMessages((prev) => prev.map((m, i) => (i === index ? { ...m, proposalStatus: "discarded" } : m)));
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}
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function handleShoppingProposalStatusChange(index: number, status: ProposalStatus) {
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setMessages((prev) => prev.map((m, i) => (i === index ? { ...m, shoppingProposalStatus: status } : m)));
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}
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const suggestions = [
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t("suggestion1"),
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t("suggestion2"),
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@@ -331,6 +347,14 @@ export function CookingAssistantPanel() {
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)}
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</div>
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)}
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{msg.proposedShoppingList && msg.shoppingProposalStatus && (
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<ShoppingListProposalCard
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proposal={msg.proposedShoppingList}
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status={msg.shoppingProposalStatus}
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onStatusChange={(status) => handleShoppingProposalStatusChange(i, status)}
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/>
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)}
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</div>
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))}
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@@ -0,0 +1,155 @@
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"use client";
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import { useEffect, useState } from "react";
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import { useTranslations } from "next-intl";
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import { toast } from "sonner";
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import { ShoppingCart, Check, X, Loader2 } from "lucide-react";
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import { Button } from "@/components/ui/button";
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import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue } from "@/components/ui/select";
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import { Input } from "@/components/ui/input";
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export type ShoppingListProposal = {
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items: Array<{ rawName: string; quantity?: number; unit?: string }>;
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suggestedListName?: string;
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};
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type ShoppingList = { id: string; name: string };
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const NEW_LIST_VALUE = "__new__";
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/**
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* Renders a pending addToShoppingList tool proposal — lets the user pick an
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* existing list or name a new one, then confirms through the exact same
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* two-endpoint flow AddToShoppingListButton already uses (create list if
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* needed, then POST items) rather than a new code path.
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*/
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export function ShoppingListProposalCard({
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proposal,
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status,
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onStatusChange,
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}: {
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proposal: ShoppingListProposal;
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status: "pending" | "creating" | "created" | "discarded";
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onStatusChange: (status: "pending" | "creating" | "created" | "discarded") => void;
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}) {
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const t = useTranslations("recipe");
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const tShopping = useTranslations("shoppingLists");
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const tChat = useTranslations("cookingChat");
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const [lists, setLists] = useState<ShoppingList[] | null>(null);
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const [targetListId, setTargetListId] = useState<string>(NEW_LIST_VALUE);
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const [newListName, setNewListName] = useState(proposal.suggestedListName || "Shopping List");
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useEffect(() => {
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if (status !== "pending" || lists !== null) return;
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fetch("/api/v1/shopping-lists")
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.then((res) => (res.ok ? (res.json() as Promise<ShoppingList[]>) : []))
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.then((data) => {
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setLists(data);
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if (data.length > 0) setTargetListId(data[0]!.id);
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})
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.catch(() => setLists([]));
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}, [status, lists]);
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async function handleConfirm() {
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onStatusChange("creating");
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try {
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let listId = targetListId;
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if (listId === NEW_LIST_VALUE) {
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const res = await fetch("/api/v1/shopping-lists", {
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method: "POST",
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headers: { "Content-Type": "application/json" },
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body: JSON.stringify({ name: newListName.trim() || "Shopping List" }),
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});
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if (!res.ok) throw new Error();
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listId = (await res.json() as { id: string }).id;
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}
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const res = await fetch(`/api/v1/shopping-lists/${listId}/items`, {
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method: "POST",
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headers: { "Content-Type": "application/json" },
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body: JSON.stringify({
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items: proposal.items.map((item) => ({
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rawName: item.rawName,
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quantity: item.quantity !== undefined ? String(item.quantity) : undefined,
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unit: item.unit,
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})),
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}),
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});
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if (!res.ok) throw new Error();
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onStatusChange("created");
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toast.success(tShopping("addedCount", { count: proposal.items.length }));
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} catch {
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onStatusChange("pending");
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toast.error(t("shoppingListAddFailed"));
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}
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}
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return (
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<div className="ml-9 rounded-lg border bg-card p-3 space-y-2 max-w-[80%]">
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<div className="flex items-center gap-2">
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<ShoppingCart className="h-3.5 w-3.5 text-primary shrink-0" />
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<span className="font-medium text-sm">{tChat("shoppingProposalTitle", { count: proposal.items.length })}</span>
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</div>
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<ul className="text-xs text-muted-foreground space-y-0.5">
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{proposal.items.slice(0, 5).map((item, i) => (
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<li key={i} className="truncate">
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{item.quantity ? `${item.quantity} ` : ""}{item.unit ? `${item.unit} ` : ""}{item.rawName}
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</li>
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))}
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{proposal.items.length > 5 && <li>{tChat("shoppingProposalMore", { count: proposal.items.length - 5 })}</li>}
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</ul>
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{status === "created" ? (
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<p className="text-xs text-primary flex items-center gap-1"><Check className="h-3 w-3" />{tChat("proposalCreated")}</p>
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) : status === "discarded" ? (
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<p className="text-xs text-muted-foreground flex items-center gap-1"><X className="h-3 w-3" />{tChat("proposalDiscarded")}</p>
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) : (
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<>
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{lists !== null && (
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<div className="space-y-1.5">
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<Select value={targetListId} onValueChange={(v) => setTargetListId(v ?? NEW_LIST_VALUE)}>
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<SelectTrigger className="h-7 text-xs w-full"><SelectValue /></SelectTrigger>
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<SelectContent>
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{lists.map((l) => (
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<SelectItem key={l.id} value={l.id}>{l.name}</SelectItem>
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))}
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<SelectItem value={NEW_LIST_VALUE}>{tShopping("modeNew")}</SelectItem>
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</SelectContent>
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</Select>
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{targetListId === NEW_LIST_VALUE && (
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<Input
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value={newListName}
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onChange={(e) => setNewListName(e.target.value)}
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placeholder={tShopping("listNamePlaceholder")}
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className="h-7 text-xs"
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maxLength={100}
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/>
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)}
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</div>
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)}
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<div className="flex gap-2">
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<Button
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size="sm"
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className="h-7 text-xs gap-1"
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disabled={status === "creating" || lists === null}
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onClick={() => void handleConfirm()}
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>
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{status === "creating" ? <Loader2 className="h-3 w-3 animate-spin" /> : <Check className="h-3 w-3" />}
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{tChat("shoppingProposalAddButton")}
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</Button>
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<Button
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size="sm"
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variant="ghost"
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className="h-7 text-xs"
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disabled={status === "creating"}
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onClick={() => onStatusChange("discarded")}
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>
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{tChat("proposalDiscardButton")}
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</Button>
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</div>
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</>
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)}
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</div>
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);
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}
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@@ -0,0 +1,27 @@
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import { tool } from "ai";
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import { z } from "zod";
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const AddToShoppingListInputSchema = z.object({
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items: z.array(z.object({
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rawName: z.string().min(1).max(200).describe("Ingredient/item name only, e.g. 'flour' — never combined with quantity/unit"),
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quantity: z.number().optional().describe("A number only, e.g. 0.25, 1.5, 2"),
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unit: z.string().max(50).optional().describe("e.g. 'cup', 'tbsp', 'g'"),
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})).min(1).max(100),
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suggestedListName: z.string().max(100).optional().describe("Suggested name if the user wants a new list, e.g. 'Weekend BBQ'"),
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});
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export type AddToShoppingListToolInput = z.infer<typeof AddToShoppingListInputSchema>;
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/**
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* Lets the cooking assistant propose adding items to a shopping list — same
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* safety shape as createRecipeTool: `execute` only validates/echoes the
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* input, no DB write. The chat UI resolves which list (existing or new)
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* and POSTs through the existing /api/v1/shopping-lists(/{id}/items)
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* endpoints, the same ones AddToShoppingListButton already uses.
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*/
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export const addToShoppingListTool = tool({
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description:
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"Propose adding ingredients/items to a shopping list, e.g. from a recipe just discussed. This only drafts the item list for the user to review and pick a target list — it does not save anything. Only call this when the user has actually asked to add items to a shopping list.",
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inputSchema: AddToShoppingListInputSchema,
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execute: async (input: AddToShoppingListToolInput) => input,
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});
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@@ -1,5 +1,5 @@
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// Mirrors CHANGELOG.md at the repo root — update both together.
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export const APP_VERSION = "0.45.0";
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export const APP_VERSION = "0.46.0";
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export type ChangelogEntry = {
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version: string;
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@@ -11,6 +11,14 @@ export type ChangelogEntry = {
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};
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export const CHANGELOG: ChangelogEntry[] = [
|
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{
|
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version: "0.46.0",
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date: "2026-07-17 18:00",
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added: [
|
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"The cooking assistant can now also propose adding items to a shopping list (\"add that to my shopping list\") — pick an existing list or name a new one, then confirm. Same no-action-without-confirmation pattern as recipe creation, going through the same endpoints the manual \"Add to shopping list\" button already uses.",
|
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],
|
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notes: "generateMealPlan is still not built as a chat tool — the existing meal-plan-generation endpoint generates and saves in one step with its own input shape (week/preferences, not a specific plan to save), so it doesn't fit the draft-then-confirm pattern the other two tools use without a larger change to that endpoint.",
|
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},
|
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{
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version: "0.45.0",
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date: "2026-07-17 17:30",
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@@ -320,7 +320,11 @@ export function generateOpenApiSpec(): object {
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ingredients: z.array(z.object({ rawName: z.string(), quantity: z.number().optional(), unit: z.string().optional() })),
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steps: z.array(z.object({ instruction: z.string() })),
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}));
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registry.registerPath({ method: "post", path: "/api/v1/ai/cooking-chat", summary: "Ask the general (not recipe-specific) cooking assistant a question", description: "Rate-limited: 30 req/min. Consumes AI quota. Returns a single JSON response (not streamed); persists the exchange to chat history. Pass conversationId (from POST /api/v1/ai/conversations) to group messages into a named conversation and auto-title it from the first question. If the user asks the assistant to create/save a recipe, the response may include proposedRecipe — a draft the assistant proposed but did NOT save; the caller must POST it to /api/v1/recipes itself to actually create it.", security, request: { body: { content: { "application/json": { schema: z.object({ question: z.string().min(1).max(500), conversationId: z.string().uuid().optional() }) } }, required: true } }, responses: { 200: { description: "Answer", content: { "application/json": { schema: z.object({ answer: z.string(), proposedRecipe: ProposedRecipeRef.optional() }) } } }, 400: { description: "Validation error", content: { "application/json": { schema: ApiErrorRef } } }, 429: { description: "Rate limited or AI quota exhausted", content: { "application/json": { schema: ApiErrorRef } } } } });
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const ProposedShoppingListRef = registry.register("ProposedShoppingList", z.object({
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items: z.array(z.object({ rawName: z.string(), quantity: z.number().optional(), unit: z.string().optional() })),
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suggestedListName: z.string().optional(),
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}));
|
||||
registry.registerPath({ method: "post", path: "/api/v1/ai/cooking-chat", summary: "Ask the general (not recipe-specific) cooking assistant a question", description: "Rate-limited: 30 req/min. Consumes AI quota. Returns a single JSON response (not streamed); persists the exchange to chat history. Pass conversationId (from POST /api/v1/ai/conversations) to group messages into a named conversation and auto-title it from the first question. If the user asks the assistant to create/save a recipe or add items to a shopping list, the response may include proposedRecipe / proposedShoppingList — drafts the assistant proposed but did NOT save; the caller must POST them itself (to /api/v1/recipes, or /api/v1/shopping-lists + /api/v1/shopping-lists/{id}/items) to actually create anything.", security, request: { body: { content: { "application/json": { schema: z.object({ question: z.string().min(1).max(500), conversationId: z.string().uuid().optional() }) } }, required: true } }, responses: { 200: { description: "Answer", content: { "application/json": { schema: z.object({ answer: z.string(), proposedRecipe: ProposedRecipeRef.optional(), proposedShoppingList: ProposedShoppingListRef.optional() }) } } }, 400: { description: "Validation error", content: { "application/json": { schema: ApiErrorRef } } }, 429: { description: "Rate limited or AI quota exhausted", content: { "application/json": { schema: ApiErrorRef } } } } });
|
||||
const AiConversationRef = registry.register("AiConversation", z.object({
|
||||
id: z.string(), title: z.string().nullable(), createdAt: z.string().datetime(), updatedAt: z.string().datetime(),
|
||||
}));
|
||||
|
||||
@@ -465,7 +465,10 @@
|
||||
"proposalDiscardButton": "Discard",
|
||||
"proposalCreated": "Recipe created — opening editor…",
|
||||
"proposalDiscarded": "Discarded",
|
||||
"proposalCreateFailed": "Failed to create recipe"
|
||||
"proposalCreateFailed": "Failed to create recipe",
|
||||
"shoppingProposalTitle": "{count, plural, one {1 item} other {{count} items}} for your shopping list",
|
||||
"shoppingProposalMore": "+{count} more",
|
||||
"shoppingProposalAddButton": "Add to list"
|
||||
},
|
||||
"conversations": {
|
||||
"menuAriaLabel": "Conversations",
|
||||
|
||||
@@ -465,7 +465,10 @@
|
||||
"proposalDiscardButton": "Ignorer",
|
||||
"proposalCreated": "Recette créée — ouverture de l'éditeur…",
|
||||
"proposalDiscarded": "Ignorée",
|
||||
"proposalCreateFailed": "Échec de la création de la recette"
|
||||
"proposalCreateFailed": "Échec de la création de la recette",
|
||||
"shoppingProposalTitle": "{count, plural, one {1 article} other {{count} articles}} pour votre liste de courses",
|
||||
"shoppingProposalMore": "+{count} de plus",
|
||||
"shoppingProposalAddButton": "Ajouter à la liste"
|
||||
},
|
||||
"conversations": {
|
||||
"menuAriaLabel": "Conversations",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@epicure/web",
|
||||
"version": "0.45.0",
|
||||
"version": "0.46.0",
|
||||
"private": true,
|
||||
"scripts": {
|
||||
"dev": "next dev",
|
||||
|
||||
+1
-1
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "epicure",
|
||||
"version": "0.45.0",
|
||||
"version": "0.46.0",
|
||||
"private": true,
|
||||
"scripts": {
|
||||
"dev": "pnpm --filter web dev",
|
||||
|
||||
Reference in New Issue
Block a user