  We present the advancements in the development of the scheduler for the Son
Of X-shooter instrument at the ESO-NTT 3.58-m telescope in La Silla, Chile.
SOXS is designed as a single-object spectroscopic facility and features a
high-efficiency spectrograph with two arms covering the spectral range of
350-2000 nm and a mean resolving power of approximately R=4500. It will conduct
UV-visible and near-infrared follow-up observations of astrophysical
transients, drawing from a broad pool of targets accessible through the
streaming services of wide-field telescopes, both current and future, as well
as high-energy satellites. The instrument will cater to various scientific
objectives within the astrophysical community, each entailing specific
requirements for observation planning. SOXS will operate at the European
Southern Observatory (ESO) in La Silla, without the presence of astronomers on
the mountain. This poses a unique challenge for the scheduling process,
demanding a fully automated algorithm that is autonomously interacting with the
appropriate databases and the La Silla Weather API, and is capable of
presenting the operator not only with an ordered list of optimal targets (in
terms of observing constraints) but also with optimal backups in the event of
changing weather conditions. This imposes the necessity for a scheduler with
rapid-response capabilities without compromising the optimization process,
ensuring the high quality of observations and best use of the time at the
telescope. We thus developed a new highly available and scalable architecture,
implementing API Restful applications like Docker Containers, API Gateway, and
Python-based Flask frameworks. We provide an overview of the current state of
the scheduler, which is now ready for the approaching on-site testing during
Commissioning phase, along with insights into its web interface and preliminary
performance tests.
