TensorPM v1.23.0
Changelog - v1.23.0
TensorPM 1.23.0 lets you pick any model your local AI endpoint offers, keeps the row table visible
while you work in WBS mode on the Timeline, and refreshes the connector setup screen.
π New Features
Choose any model from your local AI endpoint
If your local or self-hosted endpoint (Ollama, LM Studio, vLLM, or a compatible server) serves more
than one model, you can now switch between all of them right from the model picker β no more editing
a single model name by hand.
- Every model reported by the endpoint appears in the model selector next to the chat input, in the
message toolbar, in the header selector, and in the Settings AI tab. - The list is remembered per endpoint, so your models stay selectable after a restart. Testing the
connection or auto-detecting a server refreshes the list; changing the endpoint clears the models
that belonged to the old one. - The model you had configured always stays selectable, even when the endpoint lists it under a
slightly different name (for examplellama3versusllama3:latest). - Switching models refreshes that model's context and output limits from the endpoint, so long
prompts are sized against the model you are actually using.
Row table stays visible in WBS mode on the Timeline
Working with your Work Breakdown Structure on the Timeline is clearer:
- The left-hand row table now stays visible in WBS mode instead of disappearing.
- Undated work packages are listed in that table rather than as floating labels on the canvas,
keeping the Gantt surface uncluttered while still showing every item.
Refreshed connector setup
- The connector list and overview panel have a cleaner, more consistent look.
- Success messages now clear themselves after a moment, while errors stay on screen until your next
action so you don't miss them.
ποΈ Improvements
- The active local model now stays in sync across every model selector and the Settings AI tab, so
what you pick in one place is reflected everywhere. - Stale token limits from a previous model or endpoint are cleared immediately on a switch, so the
very next request is never sized against the wrong model.
π Notes
- This release is desktop-only. Local AI settings are stored on your device; there are no server,
sync, or account changes, and no action is required for existing projects. - Multiple local models from a single endpoint are supported; configuring several separate local
endpoints at once is not part of this release.
π Release Info
- Version: 1.23.0
- Release Date: 2026-07-17
- Previous Version: 1.22.0
- Type: Minor Release