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