Automation library · Data collection

Build a private Llama chatbot with Ollama and Groq

Started by another system calling it, and works across Google Sheets. 9 steps, 1 branch: a working afternoon to understand properly.

Medium

9 stepsMedium: a working afternoon
1Branch: places the flow splits
0Loops or waits
1Service it connects to

The flow

Starts it 2Logic 4Service 3

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

  1. 1Receive Chat MessageWebhookStarts it
  2. 2Set Llama ConfigSetLogic
  3. 3Load Memory and Build RequestCodeLogic
  4. 4Call Llama ModelHttp RequestService
  5. 5Parse Reply and Update MemoryCodeLogic
  6. 6Log Conversation TurnGoogle SheetsService
  7. 7Check Escalation FlagIfLogic
  8. 8Send Chatbot ReplyRespond To WebhookStarts it
  9. 9Alert Slack EscalationHttp RequestService

How it's built

Starts on
Another system calling it
Steps
9, with 1 branch
Size
Medium: a working afternoon
Connects to
Google Sheets
Model
None. This is plumbing, not judgement

Questions

What does it need to run?

An n8n account, plus your own Google Sheets account. 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?

No. Every step is fixed logic or a call to a service, so it does the same thing every time.

How long does it take to set up?

Plan an afternoon. 9 steps is enough that you should read each one before running it.

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 9 steps before you point it at anything that matters.