ORES

The ORES infrastructure is being deprecated in favor of Machine Learning/LiftWing, as described in Machine_Learning/Modernization. The Machine Learning team has the following high level timeline:

Deploy all ORES/Revscoring models on Lift Wing.
- Please check Machine Learning/LiftWing/Usage about how to query the new models (from the internal WMF network, from the outside Internet and from the Wikimedia Cloud Infra.
- All ORES models are currently being served by Lift Wing!
Build a Kubernetes service called ores-legacy, that offers the same interface as https://ores.wikimedia.org/ but that calls Lift Wing in the background. We will eventually move https://ores.wikimedia.org/ to ores-legacy, so users that have not yet migrated will not see any disruption in their service dependencies.
- Currently in progress, more info in https://phabricator.wikimedia.org/T330414
Move the ORES Mediawiki Extension to Lift Wing (same interface and configuration but different backend called).
- Currently in progress, more info in https://phabricator.wikimedia.org/T319170
Migrate all clients to the Lift Wing API. This is a long term process, and it will likely take several months.

If you are a bot owner, or if you have a service that depends on ORES and you have concerns / doubts / questions, we invite you to:

Read the docs in Machine Learning/LiftWing/Usage#Differences using Lift Wing instead of ORES to get the main differences between ORES and Lift Wing.
Create a Phabricator task with the Machine-Learning-Team label to start a conversation with us, hopefully we'll be able to help in making your transition to Lift Wing easy and smooth!
Ping us in the #wikimedia-ml IRC channel on Libera.

Old docs