Add support assistant via Ollama: chat panel in terminal tabs with the latest terminal output as context, 'explain last error', copy/insert suggested commands (never auto-executed), Ollama server/model in settings

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

src/main/ai.js

@@ -0,0 +1,91 @@
+// Support-Assistent über eine Ollama-Instanz (lokal oder im Netz).
+// Antworten werden gestreamt: send('ai:event', chatId, 'data' | 'done' | 'error', payload)
+const http = require('http');
+const https = require('https');
+
+const SYSTEM_PROMPT = `You are the MrTerm support assistant, an experienced Linux system administrator.
+The user works in an SSH terminal on a Linux server (typically Ubuntu, Debian or Proxmox).
+You may receive the latest terminal output as context. Your job:
+- Explain errors briefly and clearly, name the most likely cause.
+- Suggest concrete, copy-pasteable shell commands in \`\`\`bash code blocks, one step at a time.
+- Warn explicitly before destructive commands (rm -rf, dd, mkfs, firewall changes that may lock out SSH, network changes).
+- If information is missing, say which command would provide it.
+Answer in the language of the user's question. Be concise.`;
+
+function request(base, path, { method = 'GET', body, signal } = {}) {
+  const url = new URL(path, base.endsWith('/') ? base : base + '/');
+  const lib = url.protocol === 'https:' ? https : http;
+  return new Promise((resolve, reject) => {
+    const req = lib.request(url, { method, headers: body ? { 'Content-Type': 'application/json' } : {}, signal, timeout: 15000 }, (res) => {
+      if (res.statusCode >= 400) {
+        let t = ''; res.on('data', (c) => (t += c));
+        res.on('end', () => { let m = t; try { m = JSON.parse(t).error || t; } catch {} reject(new Error(`Ollama: ${m || res.statusCode}`)); });
+        return;
+      }
+      resolve(res);
+    });
+    req.on('timeout', () => req.destroy(new Error('Ollama: timeout')));
+    req.on('error', (e) => reject(e.code === 'ECONNREFUSED' ? new Error(`Ollama not reachable at ${base}`) : e));
+    if (body) req.write(JSON.stringify(body));
+    req.end();
+  });
+}
+
+class AiAssistant {
+  constructor(store, send) {
+    this.store = store;
+    this.send = send;
+    this.running = new Map();
+  }
+
+  get cfg() {
+    const s = this.store.get().settings;
+    return { url: s.aiUrl || 'http://localhost:11434', model: s.aiModel || '' };
+  }
+
+  async models(url) {
+    const res = await request(url || this.cfg.url, 'api/tags');
+    let t = ''; for await (const c of res) t += c;
+    return (JSON.parse(t).models || []).map((m) => m.name);
+  }
+
+  // messages: [{ role: 'user' | 'assistant', content }], context: letzte Terminalausgabe
+  async chat(chatId, messages, context = '') {
+    const { url, model } = this.cfg;
+    if (!model) throw new Error('No Ollama model selected (Settings → Support assistant).');
+    this.stop(chatId);
+    const ctrl = new AbortController();
+    this.running.set(chatId, ctrl);
+    const sys = SYSTEM_PROMPT + (context ? `\n\nLatest terminal output:\n\`\`\`\n${context.slice(-12000)}\n\`\`\`` : '');
+    (async () => {
+      try {
+        const res = await request(url, 'api/chat', { method: 'POST', signal: ctrl.signal, body: { model, stream: true, messages: [{ role: 'system', content: sys }, ...messages] } });
+        res.setTimeout(0);
+        let buf = '';
+        for await (const chunk of res) {
+          buf += chunk;
+          let i;
+          while ((i = buf.indexOf('\n')) >= 0) {
+            const line = buf.slice(0, i).trim(); buf = buf.slice(i + 1);
+            if (!line) continue;
+            const m = JSON.parse(line);
+            if (m.error) throw new Error(`Ollama: ${m.error}`);
+            if (m.message?.content) this.send('ai:event', chatId, 'data', m.message.content);
+          }
+        }
+        this.send('ai:event', chatId, 'done');
+      } catch (e) {
+        if (ctrl.signal.aborted) this.send('ai:event', chatId, 'done');
+        else this.send('ai:event', chatId, 'error', e.message || String(e));
+      } finally {
+        if (this.running.get(chatId) === ctrl) this.running.delete(chatId);
+      }
+    })();
+    return true;
+  }
+
+  stop(chatId) { this.running.get(chatId)?.abort(); this.running.delete(chatId); }
+  stopAll() { for (const c of this.running.values()) c.abort(); this.running.clear(); }
+}
+
+module.exports = { AiAssistant };