Freezmo: self-hosted notes-to-activities study app

Next.js 15 app that turns photos, PDFs, DOCX/PPTX and text into a swipeable
feed of AI-generated activities (flashcards, multiple choice, true/false,
fill-in-the-blank, matching, ordering, short answer) using the user's own
Ollama models.

Highlights:
- All AI calls run in server route handlers; the browser never talks to Ollama.
- Bring-your-own-key mode (default): the key lives only in the browser and is
  sent per-request; server, local-daemon and shared-key modes also supported.
- Client-side document extraction (pdf.js, mammoth, jszip) with scanned-PDF
  page rendering for the vision model; notes stay in their original language.
- ChatGPT-style shell: collapsible sidebar / mobile drawer, neutral token-based
  light + dark themes, folder organisation, PWA (manifest, SW, offline page).
- Strict JSON validation with zod + auto-repair, rate limiting, and request
  guards (cross-origin, body-size, API-key sanitising).
- setup.sh bootstraps deps, .env.local and a production build.

Gitignore excludes .env*, the generated pdf.js worker and local scratch files.
This commit is contained in:
Martin Dvořák 2026-10-06 20:56:55 +00:00
commit 3ea2cea100
83 changed files with 10909 additions and 165 deletions

131
app/api/health/route.ts Normal file
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import { AUTH_ERROR_MESSAGES, authErrorKind, canonicalModelName, getServerConfig, resolveAuth, resolveModelName, type AuthMode } from "@/lib/config";
import { friendlyErrorMessage, ollamaListModels, ollamaVerifyKey, OllamaError } from "@/lib/ollama";
import { clientKey, rateLimit, rateLimitResponse } from "@/lib/rate-limit";
export const runtime = "nodejs";
export const dynamic = "force-dynamic";
export type ModelHealth = {
configured: string;
resolved: string;
available: boolean | null;
note?: string;
};
export type HealthResponse = {
ok: boolean;
reachable: boolean;
mode: "local-daemon" | "direct-cloud";
authMode: AuthMode;
/** True when the browser has to provide its own key and hasn't. */
needsKey: boolean;
/** null = not checked (no key), true/false = Ollama accepted/rejected the key. */
keyAccepted: boolean | null;
baseUrl: string;
hasApiKey: boolean;
vision: ModelHealth;
text: ModelHealth;
latencyMs: number | null;
modelCount: number | null;
error: string | null;
kind?: string;
checkedAt: string;
};
export async function GET(request: Request) {
const config = getServerConfig();
const limit = rateLimit(`health:${clientKey(request)}`, config.rateLimits.health, config.rateLimits.windowMs);
if (!limit.allowed) return rateLimitResponse(limit);
const started = Date.now();
const resolvedAuth = resolveAuth(config, request);
const health: HealthResponse = {
ok: false,
reachable: false,
mode: config.directCloud ? "direct-cloud" : "local-daemon",
authMode: config.authMode,
needsKey: "error" in resolvedAuth,
keyAccepted: null,
baseUrl: config.baseUrl,
hasApiKey: !("error" in resolvedAuth) && Boolean(resolvedAuth.auth.apiKey),
vision: {
configured: config.visionModel,
resolved: resolveModelName(config.visionModel, config.directCloud),
available: null,
},
text: {
configured: config.textModel,
resolved: resolveModelName(config.textModel, config.directCloud),
available: null,
},
latencyMs: null,
modelCount: null,
error: null,
checkedAt: new Date().toISOString(),
};
if ("error" in resolvedAuth) {
health.error =
resolvedAuth.error === "missing_key"
? "No Ollama API key yet. Add your key in the settings dialog — it is stored only in this browser."
: AUTH_ERROR_MESSAGES[resolvedAuth.error];
health.kind = authErrorKind(resolvedAuth.error);
return Response.json(health satisfies HealthResponse, { headers: { "Cache-Control": "no-store" } });
}
try {
const models = await ollamaListModels(resolvedAuth.auth);
health.reachable = true;
health.latencyMs = Date.now() - started;
health.modelCount = models.length;
// A key is only "accepted" once Ollama authenticated a real request —
// model listings are public, so an actual (tiny, cached) chat proves it.
if (resolvedAuth.auth.apiKey) {
const probe = await ollamaVerifyKey(resolvedAuth.auth, config.textModel, config.healthTimeoutMs * 3);
health.keyAccepted = probe.valid;
if (probe.valid === false) {
health.error = "Ollama rejected this API key. Create a new one at ollama.com/settings/keys and paste it again.";
health.kind = "auth";
return Response.json(health satisfies HealthResponse, { headers: { "Cache-Control": "no-store" } });
}
if (probe.reason === "no_credits") {
health.error = `The key works, but ${config.textModel} is not included in this account's plan. Add usage credits or switch to a free-tier model in .env.local.`;
health.kind = "no_credits";
}
}
const names = new Set(models.map((model) => canonicalModelName(model.name)));
for (const key of ["vision", "text"] as const) {
const entry = health[key];
const wanted = canonicalModelName(entry.resolved);
const listed = names.has(wanted);
entry.available = listed;
if (!listed) {
entry.note =
health.mode === "local-daemon"
? `Not in the daemon's model list. Run \`ollama pull ${entry.resolved}\` or check your sign-in.`
: `Not returned by ${config.baseUrl}/api/tags. Check the model name and your key's plan.`;
}
}
health.ok = Boolean(health.vision.available && health.text.available && health.keyAccepted !== false);
if (!health.ok && !health.error) {
health.error = "Ollama is reachable, but at least one configured model is not available.";
}
} catch (error) {
health.error = friendlyErrorMessage(error, config.baseUrl);
health.kind = error instanceof OllamaError ? error.kind : "unknown";
if (error instanceof OllamaError && (error.kind === "auth" || error.kind === "http")) {
health.keyAccepted = false;
}
health.latencyMs = null;
}
return Response.json(health satisfies HealthResponse, {
status: 200,
headers: { "Cache-Control": "no-store" },
});
}