623e5bcd34
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>
95 lines
3.8 KiB
TypeScript
95 lines
3.8 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 { requireSessionOrApiKey } 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 { db, recipes, chatMessages, eq, and } from "@epicure/db";
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import { getUserPrivateBio, buildUserBioContext } from "@/lib/ai/user-bio";
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import { hasQuantity } from "@/lib/fractions";
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const Schema = z.object({
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recipeId: z.string().uuid(),
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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 requireSessionOrApiKey(req);
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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:${session!.user.id}`, 30, 60);
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if (limited) return limited;
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const recipe = await db.query.recipes.findFirst({
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where: and(eq(recipes.id, parsed.data.recipeId), eq(recipes.authorId, session!.user.id)),
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with: {
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ingredients: { orderBy: (t, { asc }) => asc(t.order) },
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steps: { orderBy: (t, { asc }) => asc(t.order) },
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},
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});
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if (!recipe) {
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return NextResponse.json({ error: "Recipe not found" }, { status: 404 });
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}
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const ingredientList = recipe.ingredients
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.map((ing) => [hasQuantity(ing.quantity) ? ing.quantity : null, ing.unit, ing.rawName, ing.note ? `(${ing.note})` : ""].filter(Boolean).join(" "))
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.join("\n");
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const stepList = recipe.steps
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.map((s, i) => `${i + 1}. ${s.instruction}`)
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.join("\n");
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const recipeContext = `
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Recipe: ${recipe.title}
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${recipe.description ? `Description: ${recipe.description}` : ""}
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Difficulty: ${recipe.difficulty ?? "unknown"}
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Prep: ${recipe.prepMins ?? 0}min | Cook: ${recipe.cookMins ?? 0}min | Servings: ${recipe.baseServings}
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INGREDIENTS:
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${ingredientList || "None listed"}
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STEPS:
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${stepList || "None listed"}
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`.trim();
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const [configResult, privateBio] = await Promise.all([
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resolveAiConfigOrError(() => getModelConfigForUseCase(session!.user.id, "chat")),
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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 aiConfig = configResult.data;
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const model = resolveModel(aiConfig);
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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" | "family", () =>
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generateText({
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model,
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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 ${lang}.
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${recipeContext}${bioContext}`,
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prompt: parsed.data.question,
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}), { skipQuota: aiConfig.isByok }
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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: recipe.id, role: "user", content: parsed.data.question },
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{ id: crypto.randomUUID(), userId: session!.user.id, recipeId: recipe.id, role: "assistant", content: result.data.text },
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]).catch((err) => console.error("[recipe-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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