The various machines present in the OmniFire utilize distinct APIs or protocols that must be incorporated into the GLAS architecture to achieve the requisite level 2 Sub-Scheduler functionality. These APIs and protocols along with their respective tools are listed in the As GLAS is developed in Python, the utilization of wrappers is imperative to facilitate communication. For TCP Communication over telnet and Twin CATs ADS, existing wrappers are available in the public domain and are open source. Regarding the Agilent ADL scripting language, ADL scripts had to be specifically written in order to be executed from GLAS. A new version in SDK will soon be implemented. In supporting information S1, two configuration examples specialized to the OmniFire are presented.