# Facebook Messenger chatbot with OpenAI: n8n workflow template

> Started by another system calling it. It calls services over plain HTTP rather than through connectors.

Source: https://millionrounds.com/workflow/facebook-messenger-chatbot-with-openai (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [Customer support](https://millionrounds.com/workflows?category=Customer+support#library)

# Facebook Messenger chatbot with OpenAI

Started by another system calling it. It calls services over plain HTTP rather than through connectors. It puts OpenAI behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 23 steps, 3 branches, 3 loops or waits: large, and worth reading before you trust it with anything live.

Large Calls a model: OpenAI Retrieval

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Ffacebook-messenger-chatbot-with-openai)

**23 steps** Large: read it before trusting it with anything live

**3** Branches: places the flow splits

**3** Loops or waits

**0** Services by connector: it calls them over plain HTTP

## The flow

Starts it 2 Model 7 Logic 8 Service 6

The steps in the order they run, from what starts it.

- 1 **Webhook** Webhook *Starts it*
- 2 **Think** Tool Think *Model*
- 3 **HTTP** Http Request Tool *Service*
- 4 **Google Docs** Google Docs Tool *Service*
- 5 **Memory** Memory Buffer Window *Model*
- 6 **OpenAI Chat Model** Lm Chat Open Ai *Model*
- 7 **OpenAI Chat** Lm Chat Open Ai *Model*
- 8 **If3** If *Logic*
- 9 **If** If *Logic*
- 10 **AI Agent** Agent *Model*
- 11 **AI Agent1** Agent *Model*
- 12 **Respond to Webhook** Respond To Webhook *Starts it*
- 13 **Classify text** Open Ai *Model*
- 14 **Wait** Wait *Logic*
- 15 **Wait1** Wait *Logic*
- 16 **If2** If *Logic*
- 17 **User Replay Message** Facebook Graph Api *Service*
- 18 **Edit Fields** Set *Logic*
- 19 **Edit Fields1** Set *Logic*
- 20 **Admin Message1** Facebook Graph Api *Service*
- 21 **Wait3** Wait *Logic*
- 22 **User Message** Facebook Graph Api *Service*
- 23 **Admin Message** Facebook Graph Api *Service*

## How it's built

- **Starts on:** Another system calling it
- **Steps:** 23, with 3 branches, 3 loops or waits
- **Size:** Large: read it before trusting it with anything live
- **Connects to:** Nothing by connector; it calls services over plain HTTP
- **Model:** OpenAI
- **Retrieval:** Answers are drawn from documents you supply, not from the model alone

## Questions

What does it need to run?

An n8n account, and a key for OpenAI. You connect your own accounts after importing it; none are included.

What starts it?

It starts on another system calling it.

Does it use AI?

Yes. It calls OpenAI. Its answers draw on documents you give it, not on the model alone. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Take your time. At 23 steps it is large: read it before trusting it with anything live.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

**Before you run it**

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 23 steps before you point it at anything that matters.

## Run it in n8n

- **Create your n8n account** Free to start. n8n is where the workflow runs. [Create an n8n account ↗](https://millionrounds.com/n8n)
- **Download the workflow** Free with a Millionrounds account. [Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Ffacebook-messenger-chatbot-with-openai)
- **Paste it into n8n** Open a new workflow in n8n and paste. Then connect your own accounts.

Stored with the author's traces removed: canvas notes, instance identifiers, saved credential names and any live document they had left behind.

## Workflows like it

Also customer support, with the same services where possible, closest in size first.

- [**AI email support system: Gmail, Gemini, GPT-4, Slack & Google** 23 steps · calls a model · Gmail, Google Drive](https://millionrounds.com/workflow/ai-email-support-system-gmail-gemini-gpt-4-slack-and-google)
- [**Build RAG-powered support agent for Jira issues with Pinecone** 23 steps · calls a model · Pinecone](https://millionrounds.com/workflow/build-rag-powered-support-agent-for-jira-issues-with-pinecon)
- [**Create a WhatsApp customer support bot with OpenAI** 23 steps · calls a model · Gmail, Google Calendar](https://millionrounds.com/workflow/create-a-whatsapp-customer-support-bot-with-openai)
- [**Customer Support with Gemini** 23 steps · calls a model](https://millionrounds.com/workflow/customer-support-with-gemini)
- [**Draft grounded Gmail support replies from a Notion KB** 23 steps · calls a model · Gmail, Notion](https://millionrounds.com/workflow/draft-grounded-gmail-support-replies-from-a-notion-kb)
- [**Generate multiple language blogpost with OpenAI** 23 steps · calls a model · WordPress](https://millionrounds.com/workflow/generate-multiple-language-blogpost-with-openai)