Arnaud
96ef5b8379
Both chat panels (per-recipe and the general cooking assistant) previously kept messages in component state only — closing the sheet or reloading the page lost everything. Both POST routes now persist question+answer pairs to a new chat_messages table (recipeId null for the general assistant), and both panels load their own history back on open. New GET /api/v1/ai/chat-history (scoped by recipeId, or scope=general for the homepage assistant, or neither to search across everything) backs a new search control in both panels' header — debounced, shows matched messages with date and (when searching across everything) which recipe they belonged to. Verified locally: asked a real question, closed and reopened the panel and confirmed the conversation reloaded, then searched a keyword from that conversation and confirmed both the question and answer surfaced in the results dropdown.
57 lines
2.6 KiB
TypeScript
57 lines
2.6 KiB
TypeScript
import { NextRequest, NextResponse } from "next/server";
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import { z } from "zod";
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import { generateText } from "ai";
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import { db, chatMessages } from "@epicure/db";
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import { requireSession } from "@/lib/api-auth";
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import { applyRateLimit } from "@/lib/rate-limit";
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import { withAiQuota, resolveAiConfigOrError } from "@/lib/ai/ai-error";
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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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const Schema = z.object({
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question: z.string().min(1).max(500),
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});
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const LANG: Record<string, string> = { en: "English", fr: "French" };
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export async function POST(req: NextRequest) {
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const { session, response } = await requireSession();
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if (response) return response;
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const body = await req.json() as unknown;
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const parsed = Schema.safeParse(body);
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if (!parsed.success) {
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return NextResponse.json({ error: "Validation error" }, { status: 400 });
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}
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const limited = await applyRateLimit(`rl:ai:${session!.user.id}`, 30, 60);
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if (limited) return limited;
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const [configResult, privateBio] = await Promise.all([
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resolveAiConfigOrError(() => getModelConfigForUseCase(session!.user.id, "text")),
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getUserPrivateBio(session!.user.id),
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]);
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if (!configResult.ok) return configResult.response;
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const model = resolveModel(configResult.data);
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const bioContext = buildUserBioContext(privateBio);
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const locale = (session!.user as { locale?: string }).locale ?? "en";
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const lang = LANG[locale] ?? "English";
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const result = await withAiQuota(session!.user.id, session!.user.tier as "free" | "pro", () =>
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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 ${lang}.${bioContext}`,
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prompt: parsed.data.question,
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})
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);
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if (!result.ok) return result.response;
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void db.insert(chatMessages).values([
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{ id: crypto.randomUUID(), userId: session!.user.id, recipeId: null, role: "user", content: parsed.data.question },
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{ id: crypto.randomUUID(), userId: session!.user.id, recipeId: null, role: "assistant", content: result.data.text },
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]).catch((err) => console.error("[cooking-chat] failed to persist chat history", err));
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return NextResponse.json({ answer: result.data.text });
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}
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