Verifying the installation

To verify the installation

1. (Optional) Verify if all services are running.
   1. SSH to BMC AMI AI Services machine

   2. Run the following command: 

      docker ps -a

      The following screenshot is the output of the command. You must check the status column, and make sure all container statuses display Up.
       

      Important

      If the model is deployed in a different machine, the amiai_llm container will not appear in the command output.

   3. If the model is deployed in a separate instance, run the docker command from the previous step. The status of the amiai_llm container must be Up.
   4. If the status is not Up for any of the services, see Troubleshooting.

To view the AI Service Health window after installation

1. Log in to the BMC AMI AI Manager console manager URL as follows:
   You can access BMC AMI AI Manager console by using the following steps:
   1. If a Load Balancer or Application Gateway is created, you must form a URL as follows:
      https://<domainName directs to load balancer>/admin
      For example, If a domain name is amiai.bmc.com, then the URL is https://amiai.bmc.com/admin.
   2. If you installed BMC AMI AI Services on a standalone instance or zCX/zLinux, the URL is http://<ip address of instance>:8000/admin. For example, If the IP is 192.168.1.10 then the URL is http://192.168.1.10:8000/admin.
2. Enter your admin user name and password specified in the playbook file.
3. Click Sign in.
4. In the menu in the left pane, click AI Services Health. Make sure all the services are in active mode, as displayed in the screenshot.

For more information about the AI Services Settings screen, see Managing-the-platform-in-the-BMC-AMI-AI-Manager-console.

Where to go from here

When you are ready to select the feature integration and the available LLMs, see Managing-the-platform-in-the-BMC-AMI-AI-Manager-console.

If you want to start, stop, or restart the service, or export the service log, see Administering.