Automation library · AI assistants

Auto-generate product descriptions with Azure OpenAI

Started by an event in a connected app. It calls services over plain HTTP rather than through connectors. It hands the judgement calls to Azure OpenAI. 9 steps: a working afternoon to understand properly.

MediumCalls a model: Azure OpenAI

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9 stepsMedium: a working afternoon
0Branches: places the flow splits
0Loops or waits
0Services by connector: it calls them over plain HTTP

The flow

Starts it 1Model 2Logic 3Service 3

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

  1. 1When clicking ‘Test workflow’Manual triggerStarts it
  2. 2Azure OpenAI Chat ModelLm Chat Azure Open AiModel
  3. 3Get attributes and optionsHttp RequestService
  4. 4get Product without descriptionHttp RequestService
  5. 5Basic LLM ChainChain LlmModel
  6. 6Wait until nodes readyMergeLogic
  7. 7set DescriptionSetLogic
  8. 8Prepare attributesCodeLogic
  9. 9Save configurableHttp RequestService

How it's built

Starts on
An event in a connected app
Steps
9
Size
Medium: a working afternoon
Connects to
Nothing by connector; it calls services over plain HTTP
Model
Azure OpenAI

Questions

What does it need to run?

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

What starts it?

It starts on an event in a connected app.

Does it use AI?

Yes. It calls Azure OpenAI. Model calls are billed by the provider, not by n8n.

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.