Initial commit: SKEEN Derma Experts - Sistema Integral de Gestión Clínica

- Frontend React (SKEEN Brand) con Vite, TypeScript, Tailwind
- Frontend Homenest (versión alternativa)
- Módulos Odoo 17 custom (citas, pacientes, monedero, pagos, ventas, inventario, whatsapp)
- WACRM fork (Next.js 16 + Supabase)
- Hermes + Bridge + Skills (Qwen3.6 via Nan Builders)
- Scripts de migración y operación
- Documentación extensiva en docs/

wacrm/src/lib/ai/context.ts

@@ -0,0 +1,41 @@
+import type { SupabaseClient } from '@supabase/supabase-js'
+import type { ChatMessage } from './types'
+import { aiContextMessageLimit } from './defaults'
+
+interface DbMessage {
+  sender_type: 'customer' | 'agent' | 'bot'
+  content_text: string | null
+}
+
+/**
+ * Fetch the last N text messages of a conversation and map them to the
+ * provider-neutral chat shape. Customer messages become `user`; agent
+ * and bot messages become `assistant`. Non-text messages (media,
+ * templates, interactive) are excluded — they carry no text to model.
+ *
+ * Ordered oldest-first (chronological) so the transcript reads
+ * naturally and the most recent customer message lands last.
+ */
+export async function buildConversationContext(
+  db: SupabaseClient,
+  conversationId: string,
+  limit: number = aiContextMessageLimit(),
+): Promise<ChatMessage[]> {
+  const { data, error } = await db
+    .from('messages')
+    .select('sender_type, content_text')
+    .eq('conversation_id', conversationId)
+    .eq('content_type', 'text')
+    .order('created_at', { ascending: false })
+    .limit(limit)
+
+  if (error) throw error
+
+  const rows = ((data ?? []) as DbMessage[]).reverse()
+  return rows
+    .filter((m) => m.content_text && m.content_text.trim())
+    .map((m) => ({
+      role: m.sender_type === 'customer' ? 'user' : 'assistant',
+      content: m.content_text!.trim(),
+    }))
+}