Configure Mainframe Assessment Tool settings

This page describes how you can configure Mainframe Assessment Tool and the AI models it uses for the assessment.

Before you begin

Complete the steps to create a VM for Mainframe Assessment Tool.

Basic configuration

You can review and edit the configuration from the Settings page, which you can access by clicking the menuSettings icon.

To use the AI assessment capabilities, follow these steps:

  1. On the Settings page, in the AI Analysis for Assessment section, select Enable AI Analysis.
  2. Make sure that the Mainframe Assessment Tool has access to the necessary Google Cloud services by clicking Verify Connectivity.
  3. Click Save.

Advanced LLM configurations

Mainframe Assessment Tool lets you fine tune the parameters that are used to generate the code with Vertex AI generative AI tools. You can view and edit the generative AI parameters on the Settings page, under AI Analysis for Assessment, by clicking Advanced configuration.

The following is a list of the parameters you can modify:

  • Model: Choose between different Gemini models. For more information, see Gemini models.

  • Temperature: Choose a value between 0.0 and 1.0, to control the creativity of the model's output. For more information, see Model parameters.

  • Vertex AI project: If you want to use a different Google Cloud project for your Vertex AI quota from the project where you deploy Mainframe Assessment Tool, enter the project name in this field.

  • Preferred target tech stack: Give a hint to the LLM to generate code for a specific tech stack. For example, Spring Boot and MySQL.

  • Generate test cases: Select this checkbox if you want the LLM to generate test cases for the specifications it outputs.

  • Generate code suggestions: Select this checkbox if you want the LLM to generate output code samples suggesting translation from Mainframe languages to Python, Java, and C#.

  • Clear LLM cache: When running more than one assessment on the same files, the LLM caches some of the information it has gathered to improve performance and accuracy. Clicking this button clears this cache.

Configure logs and analytics

On the Settings page, you can edit your preferences for Cloud Logging and Google Analytics:

  • Enable Cloud Logging: Control whether to use Cloud Logging. For more information, see Cloud Logging documentation.

  • Enable Google Analytics: Enable sending anonymous statistics to Google Cloud to improve Mainframe Assessment Tool.

Download logs

Mainframe Assessment Tool lets you download the logs as a zip file, which you can share with Google Cloud support in case of issues.

  • To download your logs, go to the Settings page. Then, in the Support bundle section, click Download.

What's next