fix(ai): adaptive max_tokens per backend (reasoning profiles get 1024+, native llama.cpp stays compact; per-profile max_tokens override); include entry texts in ai_status SSE notify so journal updates live without reload; audit log action filter; links pagination; settings validation & UI improvements

worker.js

@@ -96,15 +96,18 @@ function createEntryAutoChecker({ pool, getSetting, logAudit, aiUrl, defaultProm
     const headers = { 'Content-Type': 'application/json' };
     let url;
     let model;
+    let maxTokens;
     if (profile) {
       const base = normalizeOpenAiBase(profile.base_url);
       if (!base) throw new Error('Некорректный base_url профиля ИИ');
       url = `${base}/chat/completions`;
       model = profile.model;
       if (profile.api_key) headers.Authorization = `Bearer ${profile.api_key}`;
+      maxTokens = parseInt(profile.max_tokens, 10) || Math.min(4096, Math.max(1024, text.length * 2 + 512));
     } else {
       url = `${AI_URL.replace(/\/+$/, '')}/v1/chat/completions`;
       model = MODEL;
+      maxTokens = Math.min(256, Math.max(128, text.length + 64));
     }
     const controller = new AbortController();
     const timer = setTimeout(() => controller.abort(), REQUEST_TIMEOUT_MS);
@@ -120,7 +123,7 @@ function createEntryAutoChecker({ pool, getSetting, logAudit, aiUrl, defaultProm
             { role: 'user', content: text },
           ],
           temperature: 0.1,
-          max_tokens: Math.min(512, Math.max(64, text.length + 32)),
+          max_tokens: maxTokens,
         }),
       });
       if (!res.ok) throw new Error(`AI service error: ${res.status}`);