Automation library · AI assistants

Use an open-source LLM with HuggingFace

Started by someone opening a chat with it. It calls services over plain HTTP rather than through connectors. It hands the judgement calls to a language model. 3 steps: small enough to read in one sitting and change without fear.

SmallCalls a model

Download free
3 stepsSmall: readable in one sitting
0Branches: places the flow splits
0Loops or waits
0Services by connector: it calls them over plain HTTP

The flow

Starts it 1Model 2

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

  1. 1When chat message receivedChat triggerStarts it
  2. 2Hugging Face Inference ModelLm Open Hugging Face InferenceModel
  3. 3Basic LLM ChainChain LlmModel

How it's built

Starts on
Someone opening a chat with it
Steps
3
Size
Small: readable in one sitting
Connects to
Nothing by connector; it calls services over plain HTTP
Model
A language model, family not declared

Questions

What does it need to run?

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

What starts it?

It starts on someone opening a chat with it.

Does it use AI?

Yes. It calls a language model. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Not long. At 3 steps it can be read in one sitting and changed without fear.

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 3 steps before you point it at anything that matters.