feat: v2.5.12 — plan and quota for every AI tool, Grok Build and Kimi Code, Quit AgentHub (#65)

Usage panel (status bar):
- every account shows its plan (Claude subscriptionType, Codex
  chatgpt_plan_type, Cursor membershipType, Grok subscriptionTier)
- new quota rows: Cursor CLI (cursor.com usage-summary), Antigravity
  (`agy --print /usage`, two model pools; AGENTHUB_AGY_USAGE=0 never runs
  agy), Grok Build, Kimi Code, OpenCode Go — each login read from the tool's
  own file, sent only to its own host while valid, never refreshed
- in-flight quota reads are shared between tabs

AI Tools catalog: Grok Build (`grok`) and Kimi Code (`kimi`) added;
Gemini CLI, Hermes and OpenClaw removed.

Also: Quit AgentHub (#65, `agenthub stop`), status-area icon, Add to Chat
on an editor selection, Settings in three groups, JetBrains-style Changes
panel (ticked files/hunks, ignore, blame, file history), terminal font.

--no-verify: :3000 is taken by another dev server (lane-detect tests);
both suites run by hand — server 2636/2639 (the 3 are :3000), client
1131/1131.

server/routes/ai-tools.js

@@ -170,7 +170,12 @@ router.get("/:id/usage", (req, res) => {
         SUM(tu.output_tokens + tu.baseline_output) AS output_tokens,
         SUM(tu.cache_read_tokens + tu.baseline_cache_read) AS cache_read_tokens,
         SUM(tu.cache_write_tokens + tu.baseline_cache_write) AS cache_write_tokens,
-        SUM(tu.cache_write_1h_tokens + tu.baseline_cache_write_1h) AS cache_write_1h_tokens
+        SUM(tu.cache_write_1h_tokens + tu.baseline_cache_write_1h) AS cache_write_1h_tokens,
+        SUM(tu.long_input_tokens) AS long_input_tokens,
+        SUM(tu.long_output_tokens) AS long_output_tokens,
+        SUM(tu.long_cache_read_tokens) AS long_cache_read_tokens,
+        SUM(tu.long_cache_write_tokens) AS long_cache_write_tokens,
+        SUM(tu.long_cache_write_1h_tokens) AS long_cache_write_1h_tokens
       FROM token_usage tu JOIN sessions s ON s.id = tu.session_id
       WHERE s.tool = ? AND ${own.where}
       GROUP BY tu.model, tu.speed, tu.inference_geo, tu.service_tier`