feat(ccip): automation + reference quality — keep identity flowing hands-free (#114)

Works through the optional CCIP ideas + the "keep moving even if I forget" ask:

AUTOMATION (no button needed):
- Hourly beat auto-enqueues CCIP backfill — new images get embedded (and errored
  ones retried) on their own; the queue never goes idle waiting for a click.
- CCIP auto-apply: a daily sweep tags confident matches (source='ccip_auto') so
  identity tags keep flowing. ON by default (opt-out, like head auto-apply);
  ml_settings.ccip_auto_apply_enabled + _threshold (0.92, above the suggest cut),
  migration 0064. Vectorized (one matmul + reduceat per image), reversible, skips
  already-applied/rejected. Switch + threshold in the GPU agent card; GET/PATCH
  /api/ml/settings; auto_applied count in /api/ccip/overview.

REFERENCE QUALITY (the over-fire root cause):
- character_references now draws ONLY from single-character images — on a
  multi-character image the tag is image-level, so every figure would otherwise
  pollute each character's prototypes (a 2-char image tagged 'Velma' made
  Daphne's figure a Velma reference). This is the contamination behind residual
  over-firing.
- Cached on a cheap signature (char-tag count + ccip-region count/max-id) so the
  reference load isn't redone on every modal open.

Tests: multi-character image not used as a reference; auto-apply tags a confident
match as ccip_auto.

NEXT (not done, confirmed): comic-panel cropping + SigLIP concept crops ("spot
interesting content").

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ttrj5P7upUTueSfoJcxEqa

frontend/src/components/settings/GpuAgentCard.vue

@@ -76,6 +76,26 @@
       stricter — fewer but more confident matches. 0.85 recommended; below ~0.80
       a heavily-tagged character starts matching everything.
     </p>
+
+    <!-- Auto-apply -->
+    <div v-if="ml.settings" class="d-flex align-center mt-5" style="gap:12px">
+      <v-switch
+        v-model="autoApply" color="accent" hide-details density="compact"
+        :loading="savingAuto" label="Auto-apply confident matches"
+        @update:model-value="onSaveAuto"
+      />
+      <v-text-field
+        v-model.number="autoThreshold" type="number" min="0.80" max="0.99"
+        step="0.01" density="compact" hide-details variant="outlined"
+        style="max-width:96px" :disabled="!autoApply" label="at"
+        @change="onSaveAuto"
+      />
+    </div>
+    <p class="fc-muted text-caption mt-1 mb-0">
+      When on, a very-confident character match tags the image on its own (daily,
+      reversible) — so identity tags keep flowing without review. Stricter than
+      the suggest cut; 0.92 recommended.
+    </p>
   </MaintenanceTile>
 </template>
 
@@ -97,6 +117,9 @@ const rotating = ref(false)
 const backfilling = ref(false)
 const threshold = ref(0.85)
 const savingThreshold = ref(false)
+const autoApply = ref(true)
+const autoThreshold = ref(0.92)
+const savingAuto = ref(false)
 const queue = ref({ pending: 0, leased: 0, done: 0, error: 0 })
 let pollTimer = null
 
@@ -119,8 +142,27 @@ onMounted(async () => {
     if (ml.settings?.ccip_match_threshold != null) {
       threshold.value = ml.settings.ccip_match_threshold
     }
+    if (ml.settings?.ccip_auto_apply_enabled != null) {
+      autoApply.value = ml.settings.ccip_auto_apply_enabled
+      autoThreshold.value = ml.settings.ccip_auto_apply_threshold
+    }
   } catch { /* non-fatal */ }
 })
+
+async function onSaveAuto() {
+  savingAuto.value = true
+  try {
+    await ml.patchSettings({
+      ccip_auto_apply_enabled: autoApply.value,
+      ccip_auto_apply_threshold: autoThreshold.value,
+    })
+    toast({ text: 'Auto-apply settings saved', type: 'success' })
+  } catch (e) {
+    toast({ text: `Could not save: ${e.message}`, type: 'error' })
+  } finally {
+    savingAuto.value = false
+  }
+}
 onUnmounted(() => { if (pollTimer) clearInterval(pollTimer) })
 
 async function onSaveThreshold() {