Control-M for CrewAI

CrewAI enables you to perform intelligent task delegation, coordination, and communication between agents.

Control-M for CrewAI enables you to do the following:

• Build complex AI workflows with multiple collaborating agents.

• Manage CrewAI credentials in a secure connection profile.

• Connect to any CrewAI endpoint.

• Introduce all Control-M capabilities to Control-M for CrewAI, including advanced scheduling criteria, complex dependencies, resource pools, lock resources, and variables.

• Integrate CrewAI jobs with other Control-M jobs into a single scheduling environment.

• Monitor the status, results, and output of CrewAI jobs.

• Attach an SLA job to the CrewAI jobs.

Setting up Control-M for CrewAI

This procedure describes how to deploy the CrewAI plug-in, create a connection profile, and define a CrewAI job in Control-M SaaS and Automation API.

Before You Begin

• Verify that Java is installed, as described in Control-M External Java Installation.

• Verify that Automation API is installed, as described in Setting Up the API.

• Verify that Agent version 9.0.21.080 or higher is installed.

Begin

1. Do one of the following:

   • Install: Run one of the following provision image commands:

     • Linux: ctm provision image CrewAI_plugin.Linux

     • Windows: ctm provision image CrewAI_plugin.Windows

   • Upgrade: Run the following command:

     ctm provision agent::update

2. Create a CrewAI connection profile in Control-M SaaS or Automation API, as follows:

   • Control-M SaaS: Create a Centralized Connection Profile with CrewAI Connection Profile Parameters

   • Automation API: Connection Profile:CrewAI

3. Define a CrewAI job in Control-M SaaS or Automation API, as follows:

   • Control-M SaaS: Create a Job with CrewAI Job parameters

   • Automation API: Job:CrewAI

Change Log

The following table describes changes that were introduced in new versions of this plug-in.

Plug-in Version	Details
1.0.00	Initial version