Anthropic Module

Overview

Module Details
Core or GitHub Module	Core module
Steps Exposed	Yes
Step Location	AI > Anthropic
Settings Location	N/A
Prerequisites	A valid Anthropic account is required to use this module. Install the Anthropic Module Add a dependency to the Anthropic Module Configure the Anthropic AI Settings

The Anthropic module is designed to integrate with advanced AI models developed by Anthropic, such as the Claude family, providing access to cutting-edge language processing capabilities.

This module can be used to integrate Claude's chat completion capabilities into Decisions Flows and Rules.

Note for Third-Party Systems and Subscriptions

Customers are responsible for securing and maintaining accounts with third-party systems and subscriptions.

Configuration/Properties

Installing the Anthropic Module also installs the AI Common module within the portal, populating one step in the Flow Designer. Users who wish to use the Anthropic module must also have access to Anthropic's API Key.

After you install the Anthropic module, you can add Anthropic's API key in the Anthropic AI Settings. To do this, navigate to System > Settings and right-click on Anthropic AI Settings. Then, enter the API key under Authentication > API Key.

Overriding Provider Settings for Gen AI Features (v9.22+)

Users can now override the LLM provider for our generative AI features (Create Forms, Rules, Formulas, etc. from AI) and specify the desired LLM provider from a list of currently implemented LLMs. Users can also specify which model will be utilized. Authentication is performed by the corresponding LLMs settings in Decisions.

Available Steps

The table below provides a list of all the steps within the module.

Step Name	Description
Chat Completion	This step generates text based on the prompts given to it.

Feature Changes

Description	Version	Release Date	Developer Task
Users can now override the LLM provider for our generative AI features: Create Form, Rule, Formula, etc., and select the desired LLM provider from the list of our current implemented LLMs. Users can also specify which model will be used.	9.22	March 2026	[DT-047084]