Using with Base44

export NOTIFYER_API_BASE_URL="https://api.insightssystem.com"
export NOTIFYER_API_TOKEN="eyJ..."   # obtained via setup-notifyer/scripts/login.js

Add a Base44 backend function called sendWhatsAppTemplate that accepts a phone number
and template name, authenticates with the Notifyer API using NOTIFYER_API_TOKEN,
and sends the matching approved template.

Create a Base44 backend function that checks if a recipient's 24-hour WhatsApp
messaging window is open before sending a text message via Notifyer.

// Inside a Base44 backend function
import { execSync } from "child_process";

const result = JSON.parse(
  execSync(
    `node ~/.agents/skills/chat-notifyer/scripts/send-text.js \
      --phone ${phoneNumber} \
      --text "${message}"`,
    { env: { ...process.env } }
  ).toString()
);

if (!result.ok) {
  throw new Error(result.error);
}

Build a Base44 backend function called notifyCustomer.
It should accept { phone, templateName, variables } and send a WhatsApp template
message via the Notifyer API. Use NOTIFYER_API_BASE_URL and NOTIFYER_API_TOKEN
from environment variables. Handle errors and return { ok, message_id } or { ok: false, error }.

Add a Base44 automation that runs daily at 9am, fetches all customers from the
Customers entity with status = "trial_expiring", and triggers a Notifyer broadcast
using the trial_reminder template for each one.

Create a Base44 backend function to receive incoming Notifyer IO webhook events.
Validate the HMAC signature using NOTIFYER_WEBHOOK_SECRET.
When a new inbound message arrives, create or update a record in the Conversations entity.

When a user sends the message "talk to a human" to our Base44 AI agent,
call the Notifyer API to set handoff mode to "human" for that contact's phone number.
Use the PATCH /web/recipient/:id endpoint with is_ai_assistant: false.

npx skills add whatsable/whatsapp-business-agent-skills -g