Automation library · Data collection

Track LLM token costs per customer with Langchain

Started by someone submitting a form, and works across Gmail and Google Sheets. 12 steps: a working afternoon to understand properly.

Medium

12 stepsMedium: a working afternoon
0Branches: places the flow splits
0Loops or waits
2Services it connects to

The flow

Starts it 2Model 2Logic 2Service 6

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

  1. 1Client Usage LogGoogle Sheets ToolService
  2. 2On form submissionForm triggerStarts it
  3. 3Every End of MonthSchedule triggerStarts it
  4. 4Custom LLM SubnodeCodeModel
  5. 5Parse PDF UploadExtract From FileService
  6. 6Get Client LogsGoogle SheetsService
  7. 7Extract Resume DataInformation ExtractorModel
  8. 8Logging AttributesSetLogic
  9. 9Filter Last MonthFilterLogic
  10. 10Display JSON DocumentFormService
  11. 11Calculate TotalsSummarizeService
  12. 12Send InvoiceGmailService

How it's built

Starts on
Someone submitting a form
Steps
12
Size
Medium: a working afternoon
Connects to
Gmail, Google Sheets
Model
None. This is plumbing, not judgement

Questions

What does it need to run?

An n8n account, plus your own Gmail and Google Sheets accounts. You connect your own accounts after importing it; none are included.

What starts it?

It starts on someone submitting a form.

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. 12 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 12 steps before you point it at anything that matters.