feat: deliver in chosen format (not forced JPEG); wire output_ext through jobs/Telegram/MCP

- delivery.ts: upload the stored result in its chosen format (output_ext,
  global or per-recipe) instead of always converting non-alpha to JPEG.
- jobs POST froze the snapshot without output_ext -> per-conversion/per-recipe
  format choice was silently dropped. Now carried through.
- telegram.ts: recipe snapshots carry output_ext + delivery_target_id
  (custom formats already flow via output_format).
- mcp/klarbild-mcp.mjs: process_images gains tasks, output_ext, orientation,
  crop_mode, contour_mm, picdrop_gallery; job_status shows finished_at + errors.
- Docs: llms.txt, mcp/README, changelog updated.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01XNQ8ghPfzAfsyVYd6HgFb6

mcp/klarbild-mcp.mjs

@@ -49,13 +49,20 @@ const TOOLS = [
     description: 'Bilder an Klarbild übergeben und verarbeiten. Dateien als lokale Pfade ODER data:-URLs. Entweder recipeId ODER mode+Optionen angeben.',
     inputSchema: { type: 'object', properties: {
       files: { type: 'array', items: { type: 'string' }, description: 'Lokale Pfade oder data:-URLs' },
-      recipeId: { type: 'string', description: 'Optional: Preset-ID (aus list_recipes)' },
+      recipeId: { type: 'string', description: 'Optional: Preset-ID (aus list_recipes) — überschreibt die Einzeloptionen' },
       mode: { type: 'string', enum: ['each', 'compose', 'generate'], description: 'Falls kein recipeId' },
+      tasks: { type: 'array', items: { type: 'string', enum: ['clean', 'cutout', 'format', 'contour'] },
+        description: 'Nur bei mode=each. Standard: ["format"] wenn output_format gesetzt.' },
       prompt_text: { type: 'string', description: 'Beschreibung für compose/generate' },
-      output_format: { type: 'string', description: 'z. B. 30x40, theframe, keep' },
+      output_format: { type: 'string', description: 'Fest: 30x40, A4, theframe, hochformat, keep … ODER frei: "25x35" (=25×35 cm) bzw. "sticker5" (=5×5 cm).' },
+      output_ext: { type: 'string', enum: ['png', 'jpg'], description: 'Dateiformat. Weglassen = globale Standard-Einstellung. JPG nur ohne Transparenz.' },
+      orientation: { type: 'string', enum: ['portrait', 'landscape'] },
+      crop_mode: { type: 'string', enum: ['crop', 'extend'] },
+      contour_mm: { type: 'number', description: 'Stickerrand in mm (nur mit tasks=cutout+contour).' },
+      picdrop_gallery: { type: 'string', description: 'Ziel-Galerie/Unterordner (bei delivery picdrop/both).' },
       delivery: { type: 'string', enum: ['library', 'picdrop', 'both'] },
     }, required: ['files'] } },
-  { name: 'job_status', description: 'Status eines Auftrags abfragen.',
+  { name: 'job_status', description: 'Status eines Auftrags abfragen (inkl. Endzeit und Fehlermeldungen).',
     inputSchema: { type: 'object', properties: { jobId: { type: 'string' } }, required: ['jobId'] } },
 ];
 
@@ -73,11 +80,21 @@ server.setRequestHandler({ method: 'tools/call' }, async (req) => {
       const files = a.files || [];
       const mode = a.mode || 'each';
       const sources = (mode === 'generate') ? [] : await Promise.all(files.map((f) => uploadFile(f)));
+      const wantsFormat = a.output_format && a.output_format !== 'keep';
+      const tasks = Array.isArray(a.tasks) && a.tasks.length ? a.tasks : (wantsFormat ? ['format'] : []);
       const body = a.recipeId
         ? { recipeId: a.recipeId, mode, sources, prompt_text: a.prompt_text }
         : { mode, prompt_text: a.prompt_text, sources,
-            recipe: { tasks: a.output_format && a.output_format !== 'keep' ? ['format'] : [],
-              output_format: a.output_format || 'keep', delivery: a.delivery || 'library' },
+            recipe: {
+              tasks: mode === 'each' ? tasks : (wantsFormat ? ['format'] : []),
+              output_format: a.output_format || 'keep',
+              output_ext: a.output_ext || null,
+              orientation: a.orientation || 'portrait',
+              crop_mode: a.crop_mode || 'crop',
+              contour_mm: a.contour_mm ?? null,
+              picdrop_gallery: a.picdrop_gallery || null,
+              delivery: a.delivery || 'library',
+            },
             delivery: a.delivery || 'library' };
       const j = await (await fetch(api('/api/jobs'), { method: 'POST', headers: { ...authHeaders, 'Content-Type': 'application/json' }, body: JSON.stringify(body) })).json();
       if (!j.jobId) throw new Error(j.error || 'Auftrag fehlgeschlagen');
@@ -86,7 +103,10 @@ server.setRequestHandler({ method: 'tools/call' }, async (req) => {
     if (name === 'job_status') {
       const j = await (await fetch(api(`/api/jobs/${a.jobId}`), { headers: authHeaders })).json();
       const job = j.job || j;
-      return { content: [{ type: 'text', text: `Status: ${job.status} — ${job.done_count}/${job.total} fertig${job.failed_count ? `, ${job.failed_count} fehlgeschlagen` : ''}` }] };
+      const errs = (j.items || []).map((it) => it.error_message).filter(Boolean);
+      const fin = job.finished_at ? ` · beendet ${job.finished_at}` : '';
+      const errTxt = errs.length ? `\nFehler: ${errs.join('; ')}` : '';
+      return { content: [{ type: 'text', text: `Status: ${job.status} — ${job.done_count}/${job.total} fertig${job.failed_count ? `, ${job.failed_count} fehlgeschlagen` : ''}${fin}${errTxt}` }] };
     }
     return { content: [{ type: 'text', text: `Unbekanntes Tool: ${name}` }], isError: true };
   } catch (e) {