Deploy and Host Bot_MultiAgente(5) on Railway

About Hosting

This repository is designed for easy deployment on Railway, Docker, or any Node.js-compatible cloud platform. It is optimized for cloud hosting and scalable multiagent operations.

Why Deploy

Automate WhatsApp conversations with AI-powered multiagent logic.
Centralize customer support, sales, and information flows in a single bot.
Reduce manual intervention and improve response times.

Common Use Cases

Customer support automation for businesses.
Sales funnel and lead qualification via WhatsApp.
Automated follow-ups and reminders for clients.
Integration with Google Sheets for CRM or reporting.

Dependencies for

This project requires Node.js (v18+), pnpm, and access to OpenAI API. For Google Sheets integration, a valid Google service account is needed.

Deployment Dependencies

Node.js (v18 or higher)
pnpm (latest)
Docker (for containerized deployment)
Railway (for cloud deployment)
OpenAI API Key
Google Service Account credentials (for Sheets integration)

Repository Data: WhatsApp Multiagent AI Bot (BuilderBot.app)

Name

Bot WhatsApp Multiagente AI Bot (BuilderBot.app)

Description

This project implements a multi-agent WhatsApp bot using BuilderBot and OpenAI Assistants. The system allows a receptionist assistant to route conversations to specialized assistants, maintaining context and thread continuity.

Main Features

Multi-agent architecture: a receptionist identifies intent and routes to expert assistants.
Integration with OpenAI Assistants for intelligent responses.
Customizable and scalable conversational flows.
Automated follow-ups and conversation closure configurable via environment variables.
Support for Google Sheets integration and data storage.
Easy deployment on Railway, Docker, or locally.

Agent Structure

Receptionist: First point of contact, classifies user intent.
Specialized assistants: Handle specific queries (sales, reservations, support, etc.).
Automatic routing: The receptionist decides which assistant to route to based on detected intent.

Required Environment Variables

ASSISTANT_1, ASSISTANT_2, ASSISTANT_3, ASSISTANT_4, ASSISTANT_5
OPENAI_API_KEY
ID_GRUPO_RESUMEN
msjCierre
msjSeguimiento1
msjSeguimiento2
msjSeguimiento3
timeOutCierre
timeOutSeguimiento2
timeOutSeguimiento3
PORT

Installation & Usage

Clone this repository.
Install dependencies: pnpm install
Configure your .env file with the required values.
Run the bot in development: pnpm run dev
(Optional) Deploy on Railway or Docker.

Multiagent Workflow

The user writes to the bot.
The receptionist (ASSISTANT_1) analyzes the intent.
If necessary, the conversation is routed to a specialized assistant (ASSISTANT_2, ASSISTANT_3, etc.).
Context and thread are maintained throughout the conversation.
If the user does not respond, follow-up and closure messages are triggered as configured.

Customization

Modify messages and timeouts in the .env file to adapt the bot to your conversational flow.
Main flows are in src/Flows/.
The file src/app.ts orchestrates the multiagent logic and routing.

Credits

Developed with BuilderBot and OpenAI. Custom for Pereyra Hugo - DusckCodes.

Contributing

Contributions are welcome! Please submit a Pull Request.

License

This project is open-source and available under the MIT license.

Contact

Website: https://clientesneurolinks.com
Email: pereyrahugor@gmail.com