Files
Epicure/apps/web/app/api/v1/ai/recipe-chat/route.ts
T
Arnaud 623e5bcd34 feat: chatbot model setting + tool-calling toggle, simplify admin AI config (v0.59.0)
Chatbot (general assistant + per-recipe Q&A) now resolves its default model
from its own site setting (DEFAULT_CHAT_PROVIDER/MODEL) instead of sharing
the generic "text" use case with recipe generation, so admins can point it
at a different model.

Added AI_TOOL_CALLING_ENABLED: turns off the chatbot's createRecipe/
addToShoppingList tools (and the forced-retry pass) for models that don't
reliably support tool calling — it falls back to plain text answers.

Simplified the admin AI Configuration page: it showed provider keys and
routing settings twice (a read-only card, then an identical edit form).
Merged into one editable section; the resolved fallback provider is now a
one-line note instead of its own card.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-07-20 21:14:04 +02:00

95 lines
3.8 KiB
TypeScript

import { NextRequest, NextResponse } from "next/server";
import { z } from "zod";
import { generateText } from "ai";
import { requireSessionOrApiKey } from "@/lib/api-auth";
import { applyRateLimit } from "@/lib/rate-limit";
import { withAiQuota, resolveAiConfigOrError } from "@/lib/ai/ai-error";
import { getModelConfigForUseCase } from "@/lib/ai/resolve-user-key";
import { resolveModel } from "@/lib/ai/factory";
import { db, recipes, chatMessages, eq, and } from "@epicure/db";
import { getUserPrivateBio, buildUserBioContext } from "@/lib/ai/user-bio";
import { hasQuantity } from "@/lib/fractions";
const Schema = z.object({
recipeId: z.string().uuid(),
question: z.string().min(1).max(500),
});
const LANG: Record<string, string> = { en: "English", fr: "French" };
export async function POST(req: NextRequest) {
const { session, response } = await requireSessionOrApiKey(req);
if (response) return response;
const body = await req.json() as unknown;
const parsed = Schema.safeParse(body);
if (!parsed.success) {
return NextResponse.json({ error: "Validation error" }, { status: 400 });
}
const limited = await applyRateLimit(`rl:ai:${session!.user.id}`, 30, 60);
if (limited) return limited;
const recipe = await db.query.recipes.findFirst({
where: and(eq(recipes.id, parsed.data.recipeId), eq(recipes.authorId, session!.user.id)),
with: {
ingredients: { orderBy: (t, { asc }) => asc(t.order) },
steps: { orderBy: (t, { asc }) => asc(t.order) },
},
});
if (!recipe) {
return NextResponse.json({ error: "Recipe not found" }, { status: 404 });
}
const ingredientList = recipe.ingredients
.map((ing) => [hasQuantity(ing.quantity) ? ing.quantity : null, ing.unit, ing.rawName, ing.note ? `(${ing.note})` : ""].filter(Boolean).join(" "))
.join("\n");
const stepList = recipe.steps
.map((s, i) => `${i + 1}. ${s.instruction}`)
.join("\n");
const recipeContext = `
Recipe: ${recipe.title}
${recipe.description ? `Description: ${recipe.description}` : ""}
Difficulty: ${recipe.difficulty ?? "unknown"}
Prep: ${recipe.prepMins ?? 0}min | Cook: ${recipe.cookMins ?? 0}min | Servings: ${recipe.baseServings}
INGREDIENTS:
${ingredientList || "None listed"}
STEPS:
${stepList || "None listed"}
`.trim();
const [configResult, privateBio] = await Promise.all([
resolveAiConfigOrError(() => getModelConfigForUseCase(session!.user.id, "chat")),
getUserPrivateBio(session!.user.id),
]);
if (!configResult.ok) return configResult.response;
const aiConfig = configResult.data;
const model = resolveModel(aiConfig);
const bioContext = buildUserBioContext(privateBio);
const locale = (session!.user as { locale?: string }).locale ?? "en";
const lang = LANG[locale] ?? "English";
const result = await withAiQuota(session!.user.id, session!.user.tier as "free" | "pro" | "family", () =>
generateText({
model,
system: `You are Epicure, a helpful culinary assistant. Answer questions about the following recipe concisely and accurately. 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 is not related to the recipe or cooking, politely redirect. Keep answers under 200 words. Respond in ${lang}.
${recipeContext}${bioContext}`,
prompt: parsed.data.question,
}), { skipQuota: aiConfig.isByok }
);
if (!result.ok) return result.response;
void db.insert(chatMessages).values([
{ id: crypto.randomUUID(), userId: session!.user.id, recipeId: recipe.id, role: "user", content: parsed.data.question },
{ id: crypto.randomUUID(), userId: session!.user.id, recipeId: recipe.id, role: "assistant", content: result.data.text },
]).catch((err) => console.error("[recipe-chat] failed to persist chat history", err));
return NextResponse.json({ answer: result.data.text });
}