💬 Facebook Messenger Bot with GPT-4 for Text, Image & Voice Processing

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Description

How it Works

This workflow lets you build a Messenger AI Agent capable of understanding text, images, and voice notes, and replying intelligently in real time.

It starts by receiving messages from a Facebook Page via a Webhook, detects the message type (text, image, or audio), and routes it through the right branch. Each input is then prepared as a prompt and sent to an AI Agent that can respond using text generation, perform quick calculations, or fetch information from Wikipedia.

Finally, the answer is formatted and sent back to Messenger via the Graph API, creating a smooth, fully automated chat experience.

Set Up Steps

1.	Connect credentials

Add your OpenAI API key and Facebook Page Access Token in n8n credentials.

2.	Plug the webhook

Copy the Messenger webhook URL from your workflow and paste it into your Facebook Page Developer settings (Webhook → Messages → Subscribe).

3.	Customize the agent

Edit the System Message of the AI Agent to define tone, temperature, and purpose (e.g. “customer support”, “math assistant”).

4.	Enable memory & tools

Turn on Simple Memory to keep conversation context and activate tools like Calculator or Wikipedia.

5.	Test & deploy

Switch to production mode, test text, image, and voice messages directly from Messenger.

Benefits

💬 Multi-modal Understanding — Handles text, images, and audio messages seamlessly. ⚙️ Full Automation — End-to-end workflow from Messenger to AI and back. 🧠 Smart Replies — Uses OpenAI + Wikipedia + Calculator for context-aware answers. 🚀 No-Code Setup — Build your first Messenger AI in less than 30 minutes. 🔗 Extensible — Easily connect more tools or APIs like Airtable, Google Sheets, or Notion.

🔗 Nodes Used

Function, HTTP Request, Webhook, AI Agent, OpenAI Chat Model, Simple Memory

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup