feat(usage): filter-driven Hero with cache-normalized totals

- Normalize OpenAI/Gemini input_tokens semantics in SQL via the new
  fresh_input_sql helper (cache_read subtracted at query time, no data
  migration). Recovers correct cache hit rates for Codex/Gemini.
- Add get_usage_summary_by_app endpoint for per-app split (single
  UNION ALL + GROUP BY, avoids N+1).
- Replace UsageSummaryCards + AppBreakdownRail with a single
  filter-driven UsageHero card; clicking a filter button now truly
  changes the displayed numbers and the title accent color.
- Tighten KNOWN_APP_TYPES to the 3 app_types whose token data is
  reliably collected (claude/codex/gemini); hide claude-desktop,
  hermes, opencode, openclaw filter buttons and i18n keys.
- Flag cache_creation as N/A for OpenAI-style protocols (Codex,
  Gemini); show a "partial" tooltip when the All view mixes both
  protocol families.

src-tauri/src/commands/usage.rs

@@ -18,6 +18,16 @@ pub fn get_usage_summary(
         .get_usage_summary(start_date, end_date, app_type.as_deref())
 }
 
+/// 获取按 app_type 拆分的使用量汇总
+#[tauri::command]
+pub fn get_usage_summary_by_app(
+    state: State<'_, AppState>,
+    start_date: Option<i64>,
+    end_date: Option<i64>,
+) -> Result<Vec<UsageSummaryByApp>, AppError> {
+    state.db.get_usage_summary_by_app(start_date, end_date)
+}
+
 /// 获取每日趋势
 #[tauri::command]
 pub fn get_usage_trends(