fix: monica API limits, robust contact name matching, gemini model fallbacks

server.js

@@ -38,7 +38,7 @@ app.get("/api/contacts", async (req, res) => {
   }
 
   try {
-    const limit = 150;
+    const limit = 100;
     const suffix = query ? `?query=${encodeURIComponent(query)}&limit=${limit}` : `?limit=${limit}`;
     const payload = await monicaFetch(`/api/contacts${suffix}`);
     const contacts = Array.isArray(payload.data) ? payload.data : [];
@@ -265,7 +265,7 @@ export async function writeToMonica(entry) {
     results.push(await monicaWrite("note", "/api/notes", {
       contact_id: contactId,
       body: entry.note.body,
-      is_favorited: Boolean(entry.note.isFavorited),
+      is_favorited: entry.note.isFavorited ? 1 : 0,
     }));
   }
 
@@ -347,17 +347,37 @@ function inferContacts(text, contactsList = []) {
   if (Array.isArray(contactsList) && contactsList.length > 0) {
     for (const contact of contactsList) {
       if (!contact.name) continue;
-      const nameParts = contact.name.trim().split(/\s+/);
-      const firstName = nameParts[0];
-      const fullName = contact.name.trim();
 
-      const escFullName = fullName.replace(/[-\/\\^$*+?.()|[\]{}]/g, '\\$&');
+      // Clean up parentheses from the name (e.g. "Aaron Lukas Lingel (Fludo Schlingel)" -> "Aaron Lukas Lingel")
+      const cleanContactName = contact.name.replace(/\(.*?\)/g, "").replace(/\s+/g, " ").trim();
+      if (!cleanContactName) continue;
+
+      const nameParts = cleanContactName.split(/\s+/).filter(p => p.length > 1);
+      if (nameParts.length === 0) continue;
+
+      const firstName = nameParts[0];
+      const lastName = nameParts[nameParts.length - 1];
+
+      const escFullName = cleanContactName.replace(/[-\/\\^$*+?.()|[\]{}]/g, '\\$&');
       const escFirstName = firstName.replace(/[-\/\\^$*+?.()|[\]{}]/g, '\\$&');
 
       const regexFull = new RegExp(`\\b${escFullName}\\b`, 'i');
       const regexFirst = new RegExp(`\\b${escFirstName}\\b`, 'i');
 
-      if (regexFull.test(text) || (firstName.length > 2 && regexFirst.test(text))) {
+      let matches = false;
+      if (regexFull.test(text)) {
+        matches = true;
+      } else if (nameParts.length >= 2) {
+        const escLastName = lastName.replace(/[-\/\\^$*+?.()|[\]{}]/g, '\\$&');
+        const regexLast = new RegExp(`\\b${escLastName}\\b`, 'i');
+        if (regexFirst.test(text) && regexLast.test(text)) {
+          matches = true;
+        }
+      } else if (firstName.length > 2 && regexFirst.test(text)) {
+        matches = true;
+      }
+
+      if (matches) {
         if (!candidates.some((item) => item.id === contact.id)) {
           candidates.push({
             id: contact.id,
@@ -539,11 +559,14 @@ export function cryptoRandomId() {
   return `${Date.now().toString(36)}-${Math.random().toString(36).slice(2, 10)}`;
 }
 
-app.listen(port, () => {
-  console.log(`Friends listening on http://localhost:${port}`);
-  if (process.env.TELEGRAM_BOT_TOKEN) {
-    startTelegramBot();
-  } else {
-    console.log("Telegram Bot not started: TELEGRAM_BOT_TOKEN is not configured in .env");
-  }
-});
+const isMain = process.argv[1] && (path.resolve(process.argv[1]) === path.resolve(fileURLToPath(import.meta.url)));
+if (isMain) {
+  app.listen(port, () => {
+    console.log(`Friends listening on http://localhost:${port}`);
+    if (process.env.TELEGRAM_BOT_TOKEN) {
+      startTelegramBot();
+    } else {
+      console.log("Telegram Bot not started: TELEGRAM_BOT_TOKEN is not configured in .env");
+    }
+  });
+}

telegram.js

@@ -6,7 +6,9 @@ import {
   cryptoRandomId,
 } from "./server.js";
 
-const monicaBaseUrl = (process.env.MONICA_BASE_URL || "https://crm.mischlabs.de").replace(/\/$/, "");
+function getMonicaBaseUrl() {
+  return (process.env.MONICA_BASE_URL || "https://crm.mischlabs.de").replace(/\/$/, "");
+}
 
 // Helper to escape HTML characters for Telegram HTML parse_mode
 function escapeHtml(text) {
@@ -85,40 +87,64 @@ async function transcribeVoice(audioBuffer) {
   }
 
   const base64Audio = Buffer.from(audioBuffer).toString("base64");
-  const url = `https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=${geminiKey}`;
   
-  const res = await fetch(url, {
-    method: "POST",
-    headers: {
-      "Content-Type": "application/json",
-    },
-    body: JSON.stringify({
-      contents: [
-        {
-          parts: [
+  // List of models to try in order of preference
+  const modelsToTry = [
+    "gemini-2.5-flash",
+    "gemini-2.0-flash",
+    "gemini-1.5-flash-latest",
+    "gemini-1.5-flash"
+  ];
+
+  let lastError = null;
+  for (const model of modelsToTry) {
+    const url = `https://generativelanguage.googleapis.com/v1beta/models/${model}:generateContent?key=${geminiKey}`;
+    try {
+      console.log(`[Telegram] Trying voice transcription with model: ${model}`);
+      const res = await fetch(url, {
+        method: "POST",
+        headers: {
+          "Content-Type": "application/json",
+        },
+        body: JSON.stringify({
+          contents: [
             {
-              inlineData: {
-                mimeType: "audio/ogg",
-                data: base64Audio,
-              },
-            },
-            {
-              text: "Transkribiere diese Sprachnachricht wortgetreu in deutschen Text. Gib NUR die Transkription zurück, ohne Einleitung, Kommentare oder sonstige Zusätze. Falls nichts verständlich gesprochen wurde, antworte mit einem leeren Text.",
+              parts: [
+                {
+                  inlineData: {
+                    mimeType: "audio/ogg",
+                    data: base64Audio,
+                  },
+                },
+                {
+                  text: "Transkribiere diese Sprachnachricht wortgetreu in deutschen Text. Gib NUR die Transkription zurück, ohne Einleitung, Kommentare oder sonstige Zusätze. Falls nichts verständlich gesprochen wurde, antworte mit einem leeren Text.",
+                },
+              ],
             },
           ],
-        },
-      ],
-    }),
-  });
+        }),
+      });
 
-  if (!res.ok) {
-    const errorText = await res.text();
-    throw new Error(`Gemini API failed (${res.status}): ${errorText}`);
+      if (res.status === 404) {
+        console.warn(`[Telegram] Model ${model} returned 404. Trying next model...`);
+        continue;
+      }
+
+      if (!res.ok) {
+        const errorText = await res.text();
+        throw new Error(`Gemini API failed (${res.status}): ${errorText}`);
+      }
+
+      const data = await res.json();
+      const text = data.candidates?.[0]?.content?.parts?.[0]?.text || "";
+      return text.trim();
+    } catch (err) {
+      console.error(`[Telegram] Error with model ${model}:`, err.message);
+      lastError = err;
+    }
   }
 
-  const data = await res.json();
-  const text = data.candidates?.[0]?.content?.parts?.[0]?.text || "";
-  return text.trim();
+  throw new Error(`All Gemini models failed. Last error: ${lastError ? lastError.message : "unknown"}`);
 }
 
 // Fetch available contacts from Monica to perform NLP name matching
@@ -133,7 +159,7 @@ async function fetchMonicaContacts() {
   }
 
   try {
-    const payload = await monicaFetch("/api/contacts?limit=150");
+    const payload = await monicaFetch("/api/contacts?limit=100");
     const contacts = Array.isArray(payload.data) ? payload.data : [];
     return contacts.map((c) => ({
       id: c.id,
@@ -280,7 +306,7 @@ async function handleUpdate(update) {
   }
 
   if (analysis.contact) {
-    const contactUrl = `${monicaBaseUrl}/people/${analysis.contact.id}`;
+    const contactUrl = `${getMonicaBaseUrl()}/people/${analysis.contact.id}`;
     responseText += `👤 <b>Kontakt:</b> <a href="${contactUrl}">${escapeHtml(analysis.contact.name)}</a>\n`;
   } else {
     responseText += `👤 <b>Kontakt:</b> <i>Keine Zuordnung</i>\n`;