feat(v2): complete n8n workflow template (36 nodes) covering full V2 pipeline + shadow branch

- 14 new Code node drivers implementing the pipeline stages: normalize
  candidates, build context SQL, merge context + hash, decide AI need,
  prepare AI prompt, validate AI response, AI-disabled fallback, reuse
  cached classification, compute score, select top 10, prepare memory/
  envio records, build message/digest, compare legacy x V2, debug panel.
- Consolidated the two context queries (followups/tasks) into a single
  UNION ALL query tagged by tipo, and added a "Merge - Unir Shadow"
  synchronization node before comparing legacy x V2: n8n does not
  guarantee relative execution order between sibling branches that only
  share an early common ancestor, so cross-branch data was only safe to
  read by name once a real Merge node forced both to complete first.
- Reordered score calculation before the memory upsert (score is needed
  in the persisted row) and turned both Data Table writes into
  side-effect branches that fan out from the main path instead of
  gating it, so the Data Table node's own output shape never needs to
  carry the full pipeline state forward.
- Fixed a duplicate-identifier bug in the build script: score.js's
  require('./cooldown') survived inlining and collided with
  cooldown.js's own computeCooldown function in the same Code node
  scope. build-workflow.js now strips inter-module requires when
  inlining, and a new test syntax-checks every generated jsCode string
  plus asserts no leftover require() calls.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>

n8n/nodes/reuse-cached-classification.node.js

@@ -0,0 +1,27 @@
+// @requires fallback.js
+return $input.all().map((item) => {
+  const data = item.json;
+  if (data.resolucao === 'cache' && data.memory) {
+    const m = data.memory;
+    return {
+      json: {
+        ...data,
+        aiClassification: {
+          classification: m.ai_classification,
+          actionable_today: m.ai_classification === 'ACTIONABLE_NOW' || m.ai_classification === 'UNASSIGNED_ACTIONABLE',
+          confidence: Number(m.ai_confidence || 0),
+          blocker_type: m.blocker_type || null,
+          waiting_for: m.waiting_for || null,
+          next_action: m.next_action || 'Revisar chamado',
+          suggested_action_type: 'technical_action',
+          business_risk: 'medium',
+          reason: m.last_ai_reason || 'Classificacao reaproveitada do cache.',
+          evidence: [],
+          is_fallback: false,
+          fallback_reason: null,
+        },
+      },
+    };
+  }
+  return { json: { ...data, aiClassification: buildFallbackClassification('ai_max_candidates_cap') } };
+});