Deploy: migrate k3s → Docker; search logic → master-agents-svc

- deploy/k3s удалён, deploy/docker добавлен (Caddyfile, docker-compose, searxng)
- chat-svc: agents/models/prompts удалены, использует llm-svc (LLMClient, EmbeddingClient)
- master-agents-svc: SearchOrchestrator, classifier, researcher, actions, widgets
- web-svc: ChatModelSelector, Optimization, Sources удалены; InputBarPlus; UnregisterSW
- geo-device-svc, localization-svc: Dockerfiles
- docs: 02-k3s-services-spec.md, RUNBOOK/TELEMETRY/WORKING удалены

Co-authored-by: Cursor <cursoragent@cursor.com>

services/master-agents-svc/src/lib/agent/classifier.ts

@@ -0,0 +1,39 @@
+import z from 'zod';
+import type { LlmClient } from '../llm-client.js';
+import { getClassifierPrompt } from '../prompts/classifier.js';
+import formatChatHistoryAsString from '../utils/formatHistory.js';
+
+const schema = z.object({
+  classification: z.object({
+    skipSearch: z.boolean(),
+    personalSearch: z.boolean(),
+    academicSearch: z.boolean(),
+    discussionSearch: z.boolean(),
+    showWeatherWidget: z.boolean(),
+    showStockWidget: z.boolean(),
+    showCalculationWidget: z.boolean(),
+  }),
+  standaloneFollowUp: z.string(),
+});
+
+export type ClassifierInput = {
+  chatHistory: { role: string; content: string }[];
+  query: string;
+  llm: LlmClient;
+  locale?: string;
+  enabledSources: ('web' | 'discussions' | 'academic')[];
+};
+
+export async function classify(input: ClassifierInput): Promise<z.infer<typeof schema>> {
+  const output = await input.llm.generateObject<z.infer<typeof schema>>({
+    messages: [
+      { role: 'system', content: getClassifierPrompt(input.locale) },
+      {
+        role: 'user',
+        content: `<conversation_history>\n${formatChatHistoryAsString(input.chatHistory)}\n</conversation_history>\n<user_query>\n${input.query}\n</user_query>`,
+      },
+    ],
+    schema,
+  });
+  return output;
+}