Ai

Onyx v3.2.11 Adds Admin Controls for Upload and Token Limits

Onyx v3.2.11 Adds Admin Controls for Upload and Token Limits

Onyx v3.2.11 delivers a practical enterprise-focused update centered on tighter admin control, cleaner routing, and better observability. The release adds configurable file upload size and token limits in admin settings, while also improving Nginx routing, search indexing internals, Helm monitoring support, and small frontend polish.

What Changed

The most important feature in this release is new administrator control over file upload size and token limits. That gives teams running Onyx more flexibility to tune resource usage, enforce operational boundaries, and align the platform with internal governance requirements without relying on code changes.

Infrastructure and deployment behavior also improved in v3.2.11. The release fixes Nginx routing so /scim/* requests correctly reach the API server, and adds another routing rule for non-API backend paths. Together, those changes should reduce integration friction and make reverse-proxy behavior more predictable in production environments.

On the observability side, Helm support now includes Prometheus metrics ports and Services for Celery workers. That is a meaningful upgrade for teams that need better operational visibility into background job performance and worker health.

The release also includes an indexing refactor so Vespa and OpenSearch index functions use Iterable, along with a performance-oriented permission sync timing improvement. Smaller quality-of-life changes include a frontend fix so popover content behaves better on small screens, plus a new ods trace devtools addition.

Why It Matters

For enterprise AI deployments, this release is less about flashy end-user features and more about operational maturity. Admin-configurable upload and token controls help organizations manage cost and usage boundaries. Routing fixes improve reliability for SCIM and backend traffic. Prometheus support for Celery workers makes Onyx easier to monitor in Kubernetes environments.

In short, v3.2.11 strengthens Onyx as a production AI platform by improving governance, deployment reliability, and observability while also shipping a handful of usability and maintenance upgrades.

Official Source: https://github.com/onyx-dot-app/onyx/releases/tag/v3.2.11