Currently ML modules are stored on disk inside kibana, we would like to move these modules to fleet's integration packages so they can be installed by the user when needed.

The suggested display name for the new asset is ML Module.

The new modules saved object will be almost identical to the current module manifest file, but rather than containing paths to the job and datafeed files, it will contain the actual JSON configs for the jobs and the datafeeds.
Additional kibana saved objects will no longer exist in the module. If we wish to bring over any of the existing dashboards and visualisations from any of the modules, they can be added to the package's assets.

ML's module setup endpoint has already been adjusted to work with this new saved object type as well as the existing modules on disk. elastic/kibana#92855

Below is the suggested mapping definition:

{
  id: {
    type: 'text',
    fields: {
      keyword: {
        type: 'keyword',
      },
    },
  },
  title: {
    type: 'text',
    fields: {
      keyword: {
        type: 'keyword',
      },
    },
  },
  description: {
    type: 'text',
    fields: {
      keyword: {
        type: 'keyword',
      },
    },
  },
  type: {
    type: 'text',
    fields: {
      keyword: {
        type: 'keyword',
      },
    },
  },
  logo: {
    type: 'object',
  },
  defaultIndexPattern: {
    type: 'text',
    fields: {
      keyword: {
        type: 'keyword',
      },
    },
  },
  query: {
    type: 'object',
  },
  jobs: {
    type: 'object',
  },
  datafeeds: {
    type: 'object',
  },
}