mudler-agentandEttore Di Giacinto
895d50385f
* fix(galleryop): announce model changes before the preload After a gallery install or delete, the replica that ran it replaced its config loader, then preloaded every installed model, and only then published the models invalidation. The preload does remote lookups and checksums for each model, so on a large models directory peers learned about the change minutes after the originator listed it. When the preload failed or the operation was cancelled, the event was never sent. Publish the invalidation, and apply the delete lifecycle, as soon as the loader holds the new set. The preload still runs afterwards with its own error handling. Its failure is reported on the operation, but it no longer rolls back a deletion that peers have already applied. Assisted-by: Claude Code:claude-opus-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(distributed): resync model configs from the models directory Frontends refresh their model configs only when a models invalidation arrives on NATS. NATS keeps no history, so a frontend that is disconnected when the message is published never applies the change. It keeps serving the old config, for example an alias that points at the previous model, until some later change happens to touch it. Each frontend now reruns the peer reconcile against the shared models directory after every NATS reconnect, and every --model-config-resync-interval (default 30s) when a config file changed. The pass names no model, so only models whose file changed get a revision transition, and an unchanged directory costs one read of the config files. The reconcile replaced the whole loader with a parse of the models directory, which dropped models loaded with --config-file and published a deletion revision for them. Configs defined outside the directory are now kept, both there and after a gallery install. Assisted-by: Claude Code:claude-opus-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(nodes): stop stale frontends from retargeting alias rules A scheduling rule keyed by an alias derives its target from the alias mapping of the frontend that reads it. Every frontend keeps its own copy of the model configs, so after an alias is repointed a frontend that has not reloaded it still resolves the old target. Two frontends then rewrote the rule's stored target_model against each other on alternate reconciler ticks, and the outdated one scaled up the model the alias used to point at. The registry already records the accepted config revision of each model. A frontend now derives a rule's target from its own alias mapping only when its config revision for the rule's name matches that record. Otherwise it keeps the stored target_model: it neither writes the column nor reconciles replicas of the old target. The check reads the database only for a rule whose stored and derived targets differ. With no accepted revision on record, the old behaviour stays. Assisted-by: Claude Code:claude-opus-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
LocalAI website
LocalAI documentation website
Requirement
In this project, the Docsy theme component is pulled in as a Hugo module, together with other module dependencies:
$ hugo mod graph
hugo: collected modules in 566 ms
hugo: collected modules in 578 ms
github.com/google/docsy-example github.com/google/docsy@v0.5.1-0.20221017155306-99eacb09ffb0
github.com/google/docsy-example github.com/google/docsy/dependencies@v0.5.1-0.20221014161617-be5da07ecff1
github.com/google/docsy/dependencies@v0.5.1-0.20221014161617-be5da07ecff1 github.com/twbs/bootstrap@v4.6.2+incompatible
github.com/google/docsy/dependencies@v0.5.1-0.20221014161617-be5da07ecff1 github.com/FortAwesome/Font-Awesome@v0.0.0-20220831210243-d3a7818c253f
If you want to do SCSS edits and want to publish these, you need to install PostCSS
npm install
Running the website locally
Building and running the site locally requires a recent extended version of Hugo.
You can find out more about how to install Hugo for your environment in our
Getting started guide.
From the LocalAI repository root, run:
make docs
The Hugo configuration lives in the docs directory. To invoke Hugo
directly instead, run:
cd docs
hugo server
Running a container locally
You can run docsy-example inside a Docker
container, the container runs with a volume bound to the docsy-example
folder. This approach doesn't require you to install any dependencies other
than Docker Desktop on
Windows and Mac, and Docker Compose
on Linux.
-
Build the docker image
docker-compose build -
Run the built image
docker-compose upNOTE: You can run both commands at once with
docker-compose up --build. -
Verify that the service is working.
Open your web browser and type
http://localhost:1313in your navigation bar, This opens a local instance of the docsy-example homepage. You can now make changes to the docsy example and those changes will immediately show up in your browser after you save.
Cleanup
To stop Docker Compose, on your terminal window, press Ctrl + C.
To remove the produced images run:
docker-compose rm
For more information see the Docker Compose documentation.
Troubleshooting
As you run the website locally, you may run into the following error:
➜ hugo server
INFO 2021/01/21 21:07:55 Using config file:
Building sites … INFO 2021/01/21 21:07:55 syncing static files to /
Built in 288 ms
Error: Error building site: TOCSS: failed to transform "scss/main.scss" (text/x-scss): resource "scss/scss/main.scss_9fadf33d895a46083cdd64396b57ef68" not found in file cache
This error occurs if you have not installed the extended version of Hugo. See this section of the user guide for instructions on how to install Hugo.
Or you may encounter the following error:
➜ hugo server
Error: failed to download modules: binary with name "go" not found
This error occurs if you have not installed the go programming language on your system.
See this section of the user guide for instructions on how to install go.