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WhatsApp channel bridge for AlphaAvatar. Connects WhatsApp (Baileys / Cloud API) to LiveKit-based AlphaAvatar agents via realtime data channels.

Project description

AlphaAvatar WhatsApp Channel

Status Driver Architecture

A pluggable WhatsApp channel for AlphaAvatar, built with a driver abstraction architecture to support multiple backend APIs (Baileys / Meta / Twilio).

Built with a Driver Abstraction Architecture for future API replacement.


🏗 Architecture

This module is divided into two independent layers:

WhatsApp Backend API
        │
        ▼
Driver Layer (replaceable)
        │  WebSocket
        ▼
Bridge Core (Python)
        │  LiveKit DataChannel
        ▼
AlphaAvatar Agent

Layer Responsibilities

🔌 Driver Layer (Replaceable)

Located at:

drivers/
  baileys/

Responsible for:

  • Connecting to WhatsApp backend
  • Receiving inbound messages
  • Sending outbound messages
  • Converting raw events → unified schema
  • Communicating with Bridge Core via WebSocket

This layer can be replaced without modifying the Agent or Bridge Core.


🧠 Bridge Core (Stable API Layer)

Located at:

src/alphaavatar/channels/whatsapp/

Responsible for:

  • WebSocket hub
  • Message deduplication
  • Session mapping
  • LiveKit publish/subscribe
  • Routing whatsapp.in / whatsapp.out

This layer does not depend on a specific WhatsApp API provider.


📦 Current Driver: Baileys (WhatsApp Web)

Development & local testing only.

When to Use

  • Development
  • Internal testing
  • Personal bot

Not Recommended For

  • Production
  • Public bots
  • High-volume systems

🚀 Quick Start

1️⃣ Start Python Bridge Core

From repo root:

uv run alphaavatar-whatsapp-core

Expected output:

WhatsApp Core WS listening on ws://127.0.0.1:18789

Verify port:

ss -lntp | grep 18789

2️⃣ Start Baileys Driver

cd drivers/baileys
pnpm install
pnpm dev

Expected logs:

Connected to Core WS

Then a QR code will appear.


3️⃣ Link WhatsApp

On your phone:

  1. WhatsApp → Settings
  2. Linked Devices
  3. Link a device
  4. Scan terminal QR

Successful login:

WhatsApp connection opened

4️⃣ Test Message

Send a message to the linked account.

You should receive:

[echo] your message

If echo works, the channel pipeline is healthy.


🔄 Unified Event Schema

All drivers must emit events in the following format.

Inbound Event

{
  "v": 1,
  "channel": "whatsapp",
  "direction": "in",
  "from": "+9715xxxxxxx",
  "chat_id": "wa:xxx",
  "message_id": "xxx",
  "ts": 1700000000,
  "type": "text",
  "text": "hello",
  "meta": { "driver": "baileys" }
}

Outbound Event

{
  "v": 1,
  "channel": "whatsapp",
  "direction": "out",
  "to": "+9715xxxxxxx",
  "chat_id": "wa:xxx",
  "text": "hi!"
}

🔌 Driver Abstraction Model

Future drivers should implement:

  • Inbound handler → send to Bridge Core
  • Outbound handler → send via API
  • Reconnect logic
  • Auth lifecycle

Recommended structure:

drivers/
  baileys/
  meta/
  twilio/

Only the driver directory changes when switching backend API.


🔁 Switching to Official APIs

For production usage, replace Baileys with:

Meta Cloud API

  • Webhook-based inbound
  • HTTPS outbound
  • Business account required

Twilio WhatsApp API

  • Twilio webhook
  • Twilio REST outbound

What Does NOT Change

  • Python Bridge Core
  • LiveKit topics
  • Agent routing logic
  • Memory / RAG / MCP plugins

Only driver implementation changes.


🧠 LiveKit Integration

Bridge Core publishes:

  • whatsapp.in
  • whatsapp.out

Agent subscribes to whatsapp.in Agent replies to whatsapp.out

This decouples channel transport from AI logic.


🛠 Production Hardening Checklist

When moving beyond development:

  • Persistent deduplication (Redis / DB)
  • Per-user message queue
  • Rate limiting
  • Allowlist / pairing
  • Monitoring & health checks
  • Containerization
  • Replace Baileys with official API

📁 Project Structure

avatar-channels/
  avatar-channels-whatsapp/
    drivers/
      baileys/
        src/
    src/
      alphaavatar/channels/whatsapp/
    pyproject.toml
    README.md

📌 Design Philosophy

This module is designed with:

  • Clean separation of concerns
  • Replaceable transport layer
  • Stable AI core
  • Production upgrade path

It ensures that WhatsApp API provider changes do not cascade into AlphaAvatar core logic.

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