Log level

Set the log level for the MTA binary. The default log level is debug. The log level increases or decreases the verbosity of logs.

RPC Server Path

Displays the path to the solution server binary. If you do not modify the path, MTA with Developer Lightspeed uses the bundled binary.

Analyzer path

Specify a MTA custom binary path. If you do not provide a path, MTA with Developer Lightspeed uses the default path to the binary.

Solution Server:URL

Configure the URL of the Solution Server end point. This field comes with the default URL.

Solution Server:enabled

Enable the Solution Server client (MTA extension) to connect with the Solution Server to perform analysis.

Analyze on save

Enable this setting for MTA with Developer Lightspeed to run an analysis on a file that is saved after code modification. This setting is enabled automatically when you enable Agentic AI mode.

Agent mode

Enable the experimental Agentic AI flow for analysis. MTA with Developer Lightspeed runs an automated analysis of a file to identify issues and suggest resolutions. After you accept the solutions, MTA with Developer Lightspeed makes the changes in the code and re-analyzes the file.

Super agent mode

Diff editor type

Select from diff or merge view to review the suggested solutions after running an analysis. The diff view shows the old code and a copy of the code with changes side-by-side. The merge view overlays the changes in the code in a single view.

Excluded diagnostic sources

Add diagnostic sources in the settings.json file. The issues generated by such diagnostic sources are excluded from the automated Agentic AI analysis.

Get solution max effort

Select the effort level for generating solutions. This can be adjusted depending on the type of incidents. Higher values increase processing time.

Get solution max LLM queries

Specify the maximum number of LLM queries made per solution request.

Get solution max priority

Specify the maximum priority level of issues to be considered in a solution request.

Cache directory

Specify the path to a directory in your filesystem to store cached responses from the LLM.

Demo mode

Enable to run MTA with Developer Lightspeed in demo mode that uses the LLM responses saved in the cache directory for analysis.

Trace enabled

Enable to trace MTA communication with the LLM model. Traces are stored in the /.vscode/konveyor-logs/traces path in your IDE project.

Debug:Webview

Enable debug level logging for Webview message handling in VS Code.

Analyze dependencies

Enable MTA with Developer Lightspeed to analyze dependency-related errors detected by the LLM in your project.

Analyze known libraries

Enable MTA with Developer Lightspeed to analyze well-known open-source libraries in your code.

Code snip limit

Set the maximum number of lines of code that are included in incident reports.

Context lines

Configure the number of context lines included in incident reports. The greater the number, the more the LLM accuracy.

Incident limit

Specifies the maximum number of incidents to be reported. If you enter a higher value, it increases the coverage of incidents in your report.

Select profile

Create a profile that you can reuse for multiple analyses. The profile name is part of the context provided to the LLM for analysis.

Configure label selector

A label selector filters rules for analysis based on the source or target technology.

Specify one or more target or source technologies (for example, cloud-readiness). MTA with Developer Lightspeed uses this configuration to determine the rules that are applied to a project during analysis.

If you mentioned a new target or a source technology in your custom rule, you can type that name to create and add the new item to the list.

Set rules

Enable default rules and Select your custom rule that you want MTA with Developer Lightspeed to use for an analysis. You can use the custom rules in addition to the default rules.

Configure generative AI

This option opens the provider-settings.yaml file that contains API keys and other parameters for all supported LLMs. By default, MTA with Developer Lightspeed is configured to use OpenAI LLM. To change the model, update the anchor &active to the desired block. Modify this file with the required arguments, such as the model and API key, to complete the setup.