freezmo/app/api/generate/route.ts
Martin Dvorak 4372423167 Bring-your-own keys for cloud providers (OpenAI-compatible)
Settings -> Providers takes keys for OpenAI, Anthropic (their official
OpenAI-compatibility layer), DeepSeek, Groq, OpenRouter and any custom
OpenAI-compatible endpoint. One adapter (lib/openai-compat) covers
listing, streaming chat, JSON generation and vision, and every model
flow can run on a provider: the chat picker lists each enabled
provider's models (labelled, remembered), and a "Study generation"
choice moves decks, homework, grading and attachment transcription onto
a provider model.

Keys stay in this browser exactly like the Ollama one
(freezmo.providers.v1): never stored server-side, never in a backup or
the sync payload, forwarded only with the request that needs them. The
provider test asserts the key reaches the provider while the routing
header stays on the app side.

New suite tests/providers-test.mjs (13 checks) stubs both protocols:
model listing, chat streaming, study generation and the Settings flow.
Privacy policy updated (en+cs). Contrast 0 findings, axe clean, mobile
126/126, chat 102/102, wizard 95/95, bubbles 34/34, regression 44/44,
i18n 13/13, native 33/33. Version 0.4.7, SW -> freezmo-v72.
2026-10-14 06:29:39 +00:00

266 lines
9.8 KiB
TypeScript

import { z } from "zod";
import { extractNotes, generateActivities, notesToText, type PipelineStage } from "@/lib/ai";
import { getServerConfig, resolveModelName } from "@/lib/config";
import { INERT_OLLAMA_AUTH, resolveModelTarget } from "@/lib/providers-server";
import { friendlyErrorMessage, OllamaError } from "@/lib/ollama";
import { rejectCrossOrigin, rejectOversizedBody, requestLocale } from "@/lib/http-guard";
import { clientKey, rateLimit, rateLimitResponse } from "@/lib/rate-limit";
import { acquireModelGate } from "@/lib/model-guard";
import { translate } from "@/lib/i18n-dict";
import { dataUrlSchema, difficultySchema } from "@/lib/schemas";
import { uid } from "@/lib/utils";
import { xpForActivity } from "@/lib/xp";
export const runtime = "nodejs";
export const dynamic = "force-dynamic";
export const maxDuration = 300;
/** ~8 MB per image after client-side resizing; up to 16 images (photos + PDF pages). */
const MAX_IMAGE_CHARS = 8_000_000;
const requestSchema = z.object({
textModel: z.string().min(1).max(200).optional(),
visionModel: z.string().min(1).max(200).optional(),
images: z.array(dataUrlSchema(MAX_IMAGE_CHARS)).max(16).optional(),
text: z.string().max(120_000).optional(),
difficulty: difficultySchema.default("medium"),
count: z.number().int().min(4).max(18).optional(),
focus: z.string().max(300).optional(),
/** Language the deck must be written in (usually detected by the vision step). */
language: z.string().max(60).optional(),
mode: z.enum(["create", "more"]).default("create"),
existing: z
.object({
title: z.string().max(120),
types: z.array(z.string()).max(30),
count: z.number().int().min(0).max(100),
})
.optional(),
});
type StreamEvent =
| { type: "stage"; stage: PipelineStage; message: string }
| { type: "deck"; deck: unknown; meta: Record<string, unknown> }
| { type: "error"; error: string; kind?: string }
| { type: "ping" };
function encoder() {
const enc = new TextEncoder();
return (event: StreamEvent) => enc.encode(`${JSON.stringify(event)}\n`);
}
/** Generous but finite: ~16 compressed images plus JSON overhead. */
const MAX_BODY_BYTES = 33554432;
export async function POST(request: Request) {
const locale = requestLocale(request);
const crossOrigin = rejectCrossOrigin(request);
if (crossOrigin) return crossOrigin;
const oversized = rejectOversizedBody(request, MAX_BODY_BYTES);
if (oversized) return oversized;
const config = getServerConfig();
// Cheap requests are rejected before any work happens.
const limit = rateLimit(`generate:${clientKey(request)}`, config.rateLimits.generate, config.rateLimits.windowMs);
if (!limit.allowed) return rateLimitResponse(limit, locale);
// Ollama (server-configured) or a cloud provider the browser sent a key for.
const resolved = resolveModelTarget(config, request, locale);
if ("error" in resolved) {
return Response.json({ error: resolved.error.message, kind: resolved.error.kind }, { status: resolved.error.status });
}
const target = resolved.target;
const provider = target.kind === "provider" ? target.target : undefined;
const baseAuth = target.kind === "provider" ? INERT_OLLAMA_AUTH : target.auth;
let payload: unknown;
try {
payload = await request.json();
} catch {
return Response.json({ error: translate(locale, "server.bodyNotJson") }, { status: 400 });
}
const parsed = requestSchema.safeParse(payload);
if (!parsed.success) {
return Response.json(
{
error: translate(locale, "server.invalidRequest", {
detail: parsed.error.issues
.slice(0, 3)
.map((issue) => `${issue.path.join(".") || "body"} ${issue.message}`)
.join("; "),
}),
},
{ status: 400 },
);
}
const { images, text, difficulty, count, focus, mode, existing, language } = parsed.data;
const imageList = (images ?? []).map(stripDataUrlPrefix).filter(Boolean);
if (imageList.length === 0 && !text?.trim()) {
return Response.json(
{ error: translate(locale, "server.needContent") },
{ status: 400 },
);
}
// Concurrency + the account-wide model budget (lib/model-guard). Taken
// only now, after every cheap rejection, so a 400 can never leak a slot.
// Provider runs carry the model the user picked in Settings → Providers;
// the server's Ollama models stay the default.
const providerTextModel = provider ? parsed.data.textModel ?? parsed.data.visionModel : undefined;
const providerVisionModel = provider ? parsed.data.visionModel ?? parsed.data.textModel : undefined;
if (provider && !providerTextModel) {
return Response.json(
{ error: translate(locale, "server.providerModelNeeded"), kind: "bad_provider" },
{ status: 400 },
);
}
const textModel = provider ? providerTextModel! : config.textModel;
const visionModel = provider ? providerVisionModel ?? providerTextModel! : config.visionModel;
const gate = acquireModelGate(request, config, locale);
if ("response" in gate) return gate.response;
const requestedCount = count ?? config.defaultActivityCount;
const encode = encoder();
const abort = new AbortController();
// A single hard deadline for the whole pipeline (two sequential model calls).
const globalTimer = setTimeout(() => abort.abort(), config.timeoutMs * 2);
// Heartbeats: one quiet model call can run for minutes, and the client's
// stall guard needs to tell "slow" from "dead" — a silent stream is how the
// wizard ended up loading forever. Cleared with the stream either way.
let heartbeat: ReturnType<typeof setInterval> | null = null;
const stream = new ReadableStream<Uint8Array>({
async start(controller) {
const send = (event: StreamEvent) => {
try {
controller.enqueue(encode(event));
} catch {
/* client went away */
}
};
heartbeat = setInterval(() => send({ type: "ping" }), 15_000);
try {
let sourceText: string;
let deckTitle: string | undefined;
let subject: string | undefined;
let summary: string | undefined;
let detectedLanguage: string | undefined = language;
let repaired = false;
if (imageList.length > 0) {
send({ type: "stage", stage: "vision", message: "Reading your notes…" });
const extraction = await extractNotes({
model: visionModel,
repairModel: textModel,
auth: baseAuth,
provider,
images: imageList,
text,
signal: abort.signal,
onProgress: (message) => send({ type: "stage", stage: "vision", message }),
});
sourceText = notesToText(extraction.notes);
deckTitle = extraction.notes.title;
subject = extraction.notes.subject;
summary = extraction.notes.summary;
detectedLanguage = extraction.notes.language || language;
repaired = repaired || extraction.repaired || extraction.languageRepaired;
send({
type: "stage",
stage: "generation",
message: "Finding the key ideas…",
});
} else {
sourceText = text!.trim();
send({ type: "stage", stage: "generation", message: "Finding the key ideas…" });
}
const generated = await generateActivities({
model: textModel,
auth: baseAuth,
provider,
notes: sourceText,
difficulty,
count: requestedCount,
language: detectedLanguage,
existing: mode === "more" ? existing : undefined,
focus,
signal: abort.signal,
});
const activities = generated.deck.activities.map((activity) => ({
...activity,
id: uid("act"),
xp: xpForActivity(activity.type, difficulty),
}));
send({
type: "deck",
deck: {
title: generated.deck.title || deckTitle || "Your study deck",
subject: generated.deck.subject ?? subject,
summary: generated.deck.summary ?? summary,
language: generated.deck.language || detectedLanguage,
sourceText,
difficulty,
activities,
},
meta: {
requested: generated.requested,
generated: activities.length,
repaired,
language: generated.deck.language || detectedLanguage || null,
visionModel: imageList.length ? (provider ? visionModel : resolveModelName(config.visionModel, baseAuth.directCloud)) : null,
textModel: provider ? textModel : resolveModelName(config.textModel, baseAuth.directCloud),
},
});
} catch (error) {
const message = friendlyErrorMessage(error, baseAuth.baseUrl || provider?.baseUrl || '', locale);
// Never log the request body: it may contain the user's notes.
console.error("[api/generate]", error instanceof OllamaError ? `${error.kind}: ${error.message}` : error);
send({
type: "error",
error: message,
kind: error instanceof OllamaError ? error.kind : "unknown",
});
} finally {
if (heartbeat) clearInterval(heartbeat);
clearTimeout(globalTimer);
gate.gate.release();
try {
controller.close();
} catch {
/* already closed */
}
}
},
cancel() {
if (heartbeat) clearInterval(heartbeat);
clearTimeout(globalTimer);
gate.gate.release();
abort.abort();
},
});
return new Response(stream, {
headers: {
"Content-Type": "application/x-ndjson; charset=utf-8",
"Cache-Control": "no-store, no-transform",
Connection: "keep-alive",
},
});
}
function stripDataUrlPrefix(value: string): string {
const commaIndex = value.indexOf(",");
if (value.startsWith("data:") && commaIndex !== -1) return value.slice(commaIndex + 1);
return value;
}