* feat: add fine-tuning endpoint
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(experimental): add fine-tuning endpoint and TRL support
This changeset defines new GRPC signatues for Fine tuning backends, and
add TRL backend as initial fine-tuning engine. This implementation also
supports exporting to GGUF and automatically importing it to LocalAI
after fine-tuning.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* commit TRL backend, stop by killing process
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* move fine-tune to generic features
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* add evals, reorder menu
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Fix tests
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
This creates a new model config page. Presently just allows configuring
pipelines, but can be extending the future to other types of models.
However pipelines are quite easy to create a form for and require
editing to create.
Signed-off-by: Richard Palethorpe <io@richiejp.com>
First when sending errors over SSE we now clearly identify them as such
instead of just sending the error string as a chat completion message.
We use this in the UI to identify errors and link to them to the traces.
Signed-off-by: Richard Palethorpe <io@richiejp.com>
The Search() method uses strings.Contains() on comma-joined tags,
causing substring false positives (e.g., "asr" matching "image-diffusers").
Add FilterByTag() method that checks each tag with strings.EqualFold()
for exact, case-insensitive matching. Add 'tag' query parameter to
/api/models and /api/backends endpoints. Update the React frontend to
send filter selections as 'tag' instead of 'term'.
Closes#8775
Signed-off-by: majiayu000 <1835304752@qq.com>
Tracing settings (EnableTracing and TracingMaxItems) were not being
loaded from runtime_settings.json on startup, causing tracing settings
configured via WebUI to be lost after service restart.
This fix adds proper loading of tracing settings in
loadRuntimeSettingsFromFile function in core/application/startup.go.
Fixes#9072
Co-authored-by: localai-bot <localai-bot@localai.io>
* feat(ui): add users and authentication support
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat: allow the admin user to impersonificate users
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* chore: ui improvements, disable 'Users' button in navbar when no auth is configured
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat: add OIDC support
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix: gate models
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* chore: cache requests to optimize speed
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* small UI enhancements
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* chore(ui): style improvements
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix: cover other paths by auth
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* chore: separate local auth, refactor
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* security hardening, approval mode
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix: fix tests and expectations
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* chore: update localagi/localrecall
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(ui, gallery): Display and filter by the backend models use
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* feat(ui): Add searchable model backend/model selector and prevent delete models being selected
Signed-off-by: Richard Palethorpe <io@richiejp.com>
---------
Signed-off-by: Richard Palethorpe <io@richiejp.com>
- Add 'agent' subcommand with 'run' and 'list' sub-commands
- Support running agents by name from pool.json registry
- Support running agents from JSON config files
- Implement foreground mode with --prompt flag for single-turn interactions
- Reuse AgentPoolService for consistent agent initialization
- Add comprehensive unit tests for config loading and overrides
Fixes#8960
Signed-off-by: localai-bot <localai-bot@users.noreply.github.com>
Co-authored-by: localai-bot <localai-bot@noreply.github.com>
* fix(openresponses): do not omit required fields summary and id
* fix(openresponses): ensure ORItemParam.Summary is never null
Normalize Summary to an empty slice at serialization chokepoints
(sendSSEEvent, bufferEvent, buildORResponse) so it always serializes
as [] instead of null.
Closes#9047
* feat(gallery): Switch to expandable box instead of pop-over and display model files
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* feat(ui, backends): Add individual backend logging
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* fix(ui): Set the context settings from the model config
Signed-off-by: Richard Palethorpe <io@richiejp.com>
---------
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* fix: Automatically disable mmap for Intel SYCL backends
Fixes issue #9012 where Qwen3.5 models fail to load on Intel Arc GPU
with RPC EOF error.
The Intel SYCL backend has a known issue where mmap enabled causes
the backend to hang. This change automatically disables mmap when
detecting Intel or SYCL backends.
References:
- https://github.com/mudler/LocalAI/issues/9012
- Documentation mentions: SYCL hangs when mmap: true is set
* feat: Add logging for mmap auto-disable on Intel SYCL backends
As requested in PR review, add xlog.Info call to log when mmap
is automatically disabled for Intel SYCL backends. This helps
with debugging and confirms the auto-disable logic is working.
---------
Co-authored-by: localai-bot <localai-bot@users.noreply.github.com>
Also test for regressions in HTTP GET API key exempted endpoints because
this list can get out of sync with the UI routes.
Also fix support for proxying on a different prefix both server and
client side.
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* feat(realtime): WebRTC support
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* fix(tracing): Show full LLM opts and deltas
Signed-off-by: Richard Palethorpe <io@richiejp.com>
---------
Signed-off-by: Richard Palethorpe <io@richiejp.com>
Otherwise if using collections with postgresql we create a deadlock, as
we need embeddings to be up
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix: include model name in mmproj file path to prevent model isolation issues
This fix addresses issue #8937 where different models with mmproj files
having the same filename (e.g., mmproj-F32.gguf) would overwrite each other.
By including the model name in the path (llama-cpp/mmproj/<model-name>/<filename>),
each model's mmproj files are now stored in separate directories, preventing
the collision that caused conversations to fail when switching between models.
Fixes#8937
Signed-off-by: LocalAI Bot <localai-bot@example.com>
* test: update test expectations for model name in mmproj path
The test file had hardcoded expectations for the old mmproj path format.
Updated the test expectations to include the model name subdirectory
to match the new path structure introduced in the fix.
Fixes CI failures on tests-apple and tests-linux
* fix: add model name to model path for consistency with mmproj path
This change makes the model path consistent with the mmproj path by
including the model name subdirectory in both paths:
- mmproj: llama-cpp/mmproj/<model-name>/<filename>
- model: llama-cpp/models/<model-name>/<filename>
This addresses the reviewer's feedback that the model config generation
needs to correctly reference the mmproj file path.
Fixes the issue where the model path didn't include the model name
subdirectory while the mmproj path did.
Signed-off-by: team-coding-agent-1 <team-coding-agent-1@localai.dev>
---------
Signed-off-by: LocalAI Bot <localai-bot@example.com>
Signed-off-by: team-coding-agent-1 <team-coding-agent-1@localai.dev>
Co-authored-by: team-coding-agent-1 <team-coding-agent-1@localai.dev>
* fix: add missing bufio.Flush in processImageFile
The processImageFile function writes decoded image data (from base64
or URL download) through a bufio.NewWriter but never calls Flush()
before closing the underlying file. Since bufio's default buffer is
4096 bytes, small images produce 0-byte files and large images are
truncated — causing PIL to fail with "cannot identify image file".
This breaks all image input paths: file, files, and ref_images
parameters in /v1/images/generations, making img2img, inpainting,
and reference image features non-functional.
Signed-off-by: Attila Györffy <attila+git@attilagyorffy.com>
* fix: merge options into kwargs in diffusers GenerateImage
The GenerateImage method builds a local `options` dict containing the
source image (PIL), negative_prompt, and num_inference_steps, but
never merges it into `kwargs` before calling self.pipe(**kwargs).
This causes img2img to fail with "Input is in incorrect format"
because the pipeline never receives the image parameter.
Signed-off-by: Attila Györffy <attila+git@attilagyorffy.com>
* test: add unit test for processImageFile base64 decoding
Verifies that a base64-encoded PNG survives the write path
(encode → decode → bufio.Write → Flush → file on disk) with
byte-for-byte fidelity. The test image is small enough to fit
entirely in bufio's 4096-byte buffer, which is the exact scenario
where the missing Flush() produced a 0-byte file.
Also tests that invalid base64 input is handled gracefully.
Signed-off-by: Attila Györffy <attila+git@attilagyorffy.com>
* test: verify GenerateImage merges options into pipeline kwargs
Mocks the diffusers pipeline and calls GenerateImage with a source
image and negative prompt. Asserts that the pipeline receives the
image, negative_prompt, and num_inference_steps via kwargs — the
exact parameters that were silently dropped before the fix.
Signed-off-by: Attila Györffy <attila+git@attilagyorffy.com>
* fix: move kwargs.update(options) earlier in GenerateImage
Move the options merge right after self.options merge (L742) so that
image, negative_prompt, and num_inference_steps are available to all
downstream code paths including img2vid and txt2vid.
Signed-off-by: Attila Györffy <attila+git@attilagyorffy.com>
* test: convert processImageFile tests to ginkgo
Replace standard testing with ginkgo/gomega to be consistent with
the rest of the test suites in the project.
Signed-off-by: Attila Györffy <attila+git@attilagyorffy.com>
---------
Signed-off-by: Attila Györffy <attila+git@attilagyorffy.com>
Co-authored-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
feat: standardize CLI flag naming to kebab-case with backwards compatibility
- Rename --p2ptoken to --p2p-token for consistency
- Add deprecation alias for old --p2ptoken flag
- Fix broken name tag in config check command
- Add runtime deprecation warning system (core/cli/deprecations.go)
- Document kebab-case naming convention in code comments
- Maintain full backwards compatibility via kong aliases
Co-authored-by: localai-bot <localai-bot@noreply.github.com>
feat: redesign explorer and models pages with react-ui theme
- Updated logo and branding to match LocalAI's current design
- Applied react-ui color scheme and CSS variables throughout
- Added grid/list view toggle for models page
- Implemented enhanced filter chips with active state highlighting
- Added sort options and improved pagination
- Redesigned explorer page cards and token display
- Modernized navbar styling with sticky positioning
- Improved modal design with inline actions
- Ensured mobile-responsive design maintained
Co-authored-by: localai-bot <localai-bot@noreply.github.com>
* feat(mlx-distributed): add new MLX-distributed backend
Add new MLX distributed backend with support for both TCP and RDMA for
model sharding.
This implementation ties in the discovery implementation already in
place, and re-uses the same P2P mechanism for the TCP MLX-distributed
inferencing.
The Auto-parallel implementation is inspired by Exo's
ones (who have been added to acknowledgement for the great work!)
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* expose a CLI to facilitate backend starting
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat: make manual rank0 configurable via model configs
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Add missing features from mlx backend
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Apply suggestion from @mudler
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
feat: add --data-path CLI flag for persistent data separation
- Add LOCALAI_DATA_PATH environment variable and --data-path CLI flag
- Default data path: /data (separate from configuration directory)
- Automatic migration on startup: moves agent_tasks.json, agent_jobs.json, collections/, and assets/ from old config dir to new data path
- Backward compatible: preserves old behavior if LOCALAI_DATA_PATH is not set
- Agent state and job directories now use DataPath with proper fallback chain
- Update documentation with new flag and docker-compose example
This separates mutable persistent data (collectiondb, agents, assets, skills) from configuration files, enabling better volume mounting and data persistence in containerized deployments.
Signed-off-by: localai-bot <localai-bot@noreply.github.com>
Co-authored-by: localai-bot <localai-bot@noreply.github.com>
feat: add tabs to System view for Models and Backends
- Split System view into two tabs: Models and Backends
- Use URL search params and localStorage for tab state persistence
- Optimize API calls to only fetch data for active tab
- Add tab counts in labels showing number of items
- Use existing tab CSS patterns from the codebase
- Maintain all existing functionality with improved UX
Signed-off-by: localai-bot <localai-bot@noreply.github.com>
Co-authored-by: localai-bot <localai-bot@noreply.github.com>
* feat(functions): add peg-based parsing
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat: support returning toolcalls directly from backends
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* chore: do run PEG only if backend didn't send deltas
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
- Add 'Events' column header between 'Status' and 'Actions'
- Fetch observable counts for each agent using /api/agents/<name>/observables
- Display events count as clickable link navigating to agent status page
- Events count updates every 5 seconds with agent refresh interval
- Shows '0' if API call fails for an agent
Co-authored-by: localai-bot <localai-bot@noreply.github.com>
