Cog

Most recent version: v0.1.0

See the changelog of this Action type here.

Overview

The Cog Action evaluates any AI model built with the Cog library and deployed as an endpoint anywhere (SageMaker, HuggingFace, Replicate…) and adds new values.

This Action integrates with models deployed on any platform, including the client's infrastructure. It enables the utilization of state-of-the-art machine learning models and the execution of code specific to a client's unique use case.

In order to configure this action, you must first link it to a Listener. Go to Building a Pipeline to learn how this works.

Ports

These are the input and output ports of this Action:

Input ports

• Default port - All the events to be processed by this Action enter through this port.

Output ports

• Default port - Events are sent through this port if no error occurs while processing them.

• Error port - Events are sent through this port if an error occurs while processing them.

Configuration

1

Find Cog in the Actions tab (under the AI group) and drag it onto the canvas.

2

To open the configuration, click the Action in the canvas and select Configuration.

3

Enter the required parameters:

Parameter	Description
Endpoint*	Enter the endpoint used to establish a connection to the model.
Token	If the model has a token for API connection, enter it here.
Version	Optionally, enter the version model here.
Input*	Enter the JSON with the input parameters required by the model.
Output*	Enter a name for the output model evaluation.

4

Click Save to complete.