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Ettore Di Giacinto
91d08d88e6 feat(face-detect): add purego Go backend for face-detect.cpp 
Add the LocalAI Go backend that dlopens libfacedetect.so (the flat
facedetect_capi_* C-ABI) via purego, mirroring the sibling voice-detect
backend. Implements the Face subset of the Backend gRPC service:

- Embeddings(PredictOptions): Images[0] base64 -> temp file -> embed_path
  -> L2-normalized ArcFace embedding.
- Detect(DetectOptions): src -> detect_path_json -> Detection boxes
  (class_name "face", [x1,y1,x2,y2] -> x/y/w/h).
- FaceVerify(FaceVerifyRequest): two images + threshold + anti_spoof ->
  verify_paths; best-effort img areas via detect.
- FaceAnalyze(FaceAnalyzeRequest): img -> analyze_path_json -> per-face
  age + gender ("M"/"F" normalized to "Man"/"Woman").

The Makefile pins face-detect.cpp to 636a1963 and builds the shared lib
with ggml + vendored libjpeg-turbo static (PIC), so the .so is
ldd-clean (no libggml) and exports only facedetect_capi_* (no jpeg_
symbols). Gated Ginkgo e2e mirrors voice-detect.

Note for the gallery-wiring task: backend registration (index.yaml,
gallery, core/config/backend_capabilities.go) is intentionally not
touched here.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
 2026-06-22 00:26:15 +00:00
Ettore Di Giacinto
2c5ed413cb feat(voice-detect): wire backend into index, gallery and build 
Register the voice-detect.cpp speaker-recognition + voice-analysis
backend (added in Voice-INT-A) into LocalAI's distribution surfaces,
mirroring the ced backend (the closest mudler C++/ggml audio analogue):

- backend/index.yaml: add the &voicedetect meta-backend (capabilities
  platform map, no top-level uri) plus the full set of concrete per-arch
  image entries (cpu/cuda12/cuda13/metal/rocm/sycl/vulkan/l4t and the
  -development variants). Referential integrity audited - every alias
  target resolves.
- gallery/index.yaml: add 5 model entries on backend voice-detect -
  ECAPA-TDNN, WeSpeaker ResNet34, 3D-Speaker ERes2Net, CAM++ and the
  wav2vec2 age/gender/emotion analyze model. The engine architecture is
  read from GGUF metadata (voicedetect.arch) at load. GGUF artifacts are
  not yet published: each files: entry points at the intended
  mudler/voice-detect-gguf location with a TODO to fill sha256 after
  upload (no fabricated hashes).
- .github/backend-matrix.yml: add the linux build matrix block + the
  darwin metal entry mirroring ced.
- .github/workflows/bump_deps.yaml: track mudler/voice-detect.cpp via
  VOICEDETECT_VERSION (pin 47546430, = 4754643).
- core/config/backend_capabilities.go: register voice-detect in the
  backend capability map (VoiceVerify/VoiceEmbed/VoiceAnalyze ->
  speaker_recognition), mirroring speaker-recognition.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
 2026-06-22 00:15:00 +00:00
Ettore Di Giacinto
01e098a844 feat(voice-detect): add Go purego backend for voice-detect.cpp 
Add backend/go/voice-detect implementing the Backend gRPC voice subset
(VoiceEmbed/VoiceVerify/VoiceAnalyze) over libvoicedetect.so via purego,
mirroring the parakeet-cpp / omnivoice-cpp backends.

The flat voicedetect_capi C ABI is dlopen'd cgo-less; malloc'd string and
float-vector returns are owned by Go and released through the matching capi
free functions, with the per-ctx last error surfaced into Go errors. Calls are
serialized via base.SingleThread since the C context is not reentrant.

Proto field mapping:
- VoiceEmbed: VoiceEmbedRequest.audio (path) -> embed_path -> Embedding+Model.
- VoiceVerify: audio1/audio2 + threshold (<=0 falls back to the
  verify_threshold option, default 0.25) -> verify_paths -> verified/distance/
  threshold/confidence/model/processing_time_ms.
- VoiceAnalyze: audio (path) -> analyze_path_json; the JSON age/gender/emotion
  document maps to a single VoiceAnalysis segment (start/end 0; gender "label"
  -> dominant_gender with the remaining float scores as the gender map; emotion
  label/scores -> dominant_emotion/emotion).

The Makefile pins voice-detect.cpp to 47546430, clones+builds libvoicedetect.so
with ggml static-linked (PIC, GGML_NATIVE off) so dlopen needs no external
libggml/libvoicedetect; ldd on the artifact shows only system libs. Ginkgo
tests cover option parsing and analyze-JSON mapping; embed/verify smoke specs
gate on VOICEDETECT_BACKEND_TEST_MODEL + VOICEDETECT_BACKEND_TEST_WAV.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
 2026-06-22 00:00:32 +00:00
LocalAI [bot]
600dafd20b feat(ced): sound-event classification backend (CED audio tagger) (#10425) 
* feat(ced): sketch sound-classification backend (CED audio tagger)

Wires ced.cpp (CED, 527-class AudioSet sound-event tagger; baby cry,
footsteps, glass, alarms, dog bark) into LocalAI as a Go/purego backend.

SKETCH (backend skeleton real; core REST wiring + CI/gallery is a checklist
in DESIGN.md):
- backend/backend.proto: new SoundDetection rpc + SoundClass messages
  (run `make protogen-go` to regenerate pkg/grpc/proto).
- backend/go/ced: main.go (purego dlopen libced.so + ced_capi.h),
  goced.go (Ced gRPC backend: Load + SoundDetection), Makefile
  (clone-at-pin CED_VERSION, ggml static-PIC shared build), run.sh,
  package.sh, .gitignore.
- DESIGN.md: REST /v1/audio/classification wiring (handler/route/capability
  registration checklist), gallery/index + CI registration, and a scoping
  note for the realtime/websocket live-recognition path (sliding-window
  classify over the existing ws transport + voicegate; the ced C-API
  per-PCM entry point is already window-friendly).

Backend code does not compile until protogen-go regenerates the pb types
and a libced.so is built (Makefile clones+builds it).

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ced): REST /v1/audio/classification endpoint + capability registration

Wires the ced sound-event classification backend (AudioSet audio tagger)
end to end through the REST surface, mirroring the transcription path.

- Handler: core/http/endpoints/openai/sound_classification.go parses the
  multipart audio upload, temp-files it, resolves the model config and
  calls the SoundDetection RPC; returns {model, detections[]} JSON.
- Backend wrapper: core/backend/sound_classification.go (ModelSoundDetection)
  loads the model and normalizes the proto response into schema types.
- Schema: core/schema/sound_classification.go (SoundClassificationResult).
- gRPC layer: SoundDetection wired through the LocalAI wrapper (interface,
  Backend client, Client, embed, server, base default) so the loader-typed
  client exposes the RPC; proto regenerated via make protogen-go.
- Route: POST /v1/audio/classification (+ /audio/classification alias) with
  the audio/multipart default-model middleware in routes/openai.go.
- Capability surfaces: swagger @Tags/@Router on the handler; FLAG_SOUND_
  CLASSIFICATION usecase flag + UsecaseSoundClassification + UsecaseInfoMap +
  GuessUsecases + ModalityGroups + GetAllModelConfigUsecases; meta usecase
  option; /api/instructions audio area updated; auth RouteFeatureRegistry +
  FeatureAudioClassification (APIFeatures, default ON) + FeatureMetas; UI
  usecaseFilters, capabilities.js CAP_SOUND_CLASSIFICATION, Models.jsx filter
  + i18n; docs page features/audio-classification.md + whats-new + crosslink.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ced): realtime sound-event detection over the websocket API

When a realtime pipeline configures a sound-classification model, each
VAD-committed utterance (the same window the transcription path produces)
is also run through the CED sound-event classifier and the scored AudioSet
tags are emitted as a new server event. No new backend rpc is needed: the
SoundDetection gRPC method already exists on this branch.

- config: add Pipeline.SoundDetection (yaml/json sound_detection,omitempty)
  beside Transcription/VAD.
- realtime: add Model.SoundDetection(ctx, audio, topK, threshold) to the
  ModelInterface; implement it on wrappedModel and transcriptOnlyModel by
  calling backend.ModelSoundDetection with the session's sound-classification
  model config (mirrors how Transcribe dispatches). Load the optional config
  in newModel / newTranscriptionOnlyModel; nil config keeps it additive.
- types: add ConversationItemSoundDetectionEvent (item_id, content_index,
  detections[]{label,score,index}) with type conversation.item.sound_detection,
  its ServerEventType constant and MarshalJSON, mirroring the transcription
  completed event.
- realtime: add emitSoundDetection (unary path: classify the committed window,
  build the event, t.SendEvent) and wire it at the utterance-commit hook right
  after emitTranscription; gated on session.SoundDetectionEnabled (resolved
  from Pipeline.SoundDetection at session setup, defaults top_k=5, threshold=0).
  Its error is logged via xlog but never aborts the turn.
- test: Ginkgo specs for emitSoundDetection (tags emitted, empty detections,
  classifier error) plus a SoundDetection method on the fakeModel double.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix(ced): implement SoundDetection in nodes backend test doubles

The SoundDetection method added to the grpc backend interface left two
test doubles (fakeBackendClient, fakeGRPCBackend) incomplete, so
core/services/nodes failed to compile under `go vet`/`go test` (go build
missed it: the doubles live in _test.go). Add the method to both,
mirroring their existing Detect mock. Repairs CI for the nodes package.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ced): decouple realtime sound detection from VAD (sound-only sessions)

Sound-event detection must activate on sounds, not speech, so it no longer
runs through the voice VAD/transcription path. A sound-detection-only
pipeline (sound_detection set, no transcription/LLM) now:

- is accepted by prepareRealtimeConfig (sound_detection counts as a pipeline
  stage),
- builds a lightweight model via newSoundDetectionOnlyModel (no VAD/STT/LLM/TTS
  loaded), and
- defaults the session to turn_detection none (no VAD) with no transcription
  stage, so the client drives windowing via input_audio_buffer.commit
  (option A: client-side sliding window). The per-PCM C-API already supports
  arbitrary windows.

commitUtterance gains a sound-only branch: it emits the
conversation.item.sound_detection event (scored AudioSet tags) and stops -
no transcription, no LLM response. generateResponse is now guarded on a
transcription stage being present, so a sound-only turn never invokes the LLM.

Existing transcription/VAD sessions are unchanged (additive). Added a
commitUtterance sound-only Ginkgo spec asserting it emits the sound event and
neither transcribes nor generates a response. go vet + golangci-lint
(new-from-merge-base) clean; openai suite green.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ced): register sound-classification backend in gallery + CI

Mechanical backend-image registration for the ced sound-event classifier,
mirroring the parakeet-cpp Go/purego backend everywhere it is wired up.

- .github/backend-matrix.yml: add the ced build matrix, field-for-field copies
  of the parakeet-cpp entries (cpu amd64/arm64, cublas cuda 12/13 amd64,
  l4t cuda-13 arm64, l4t-jetpack cuda-12 arm64, sycl f32/f16, vulkan
  amd64/arm64, rocm hipblas, and the metal darwin entry), changing only
  backend and tag-suffix. dockerfile stays ./backend/Dockerfile.golang.
- backend/index.yaml: add the &ced meta anchor (capabilities map per platform)
  plus ced-development and the per-arch image entries, each uri/mirror
  tag-suffix matching the matrix exactly. The model gallery (GGUF) entry is
  intentionally deferred pending the HuggingFace publish (TODO note inline).
- scripts/changed-backends.js: add an explicit item.backend === "ced" branch in
  inferBackendPath mapping to backend/go/ced/, same mechanism and ordering as
  the parakeet-cpp branch (before the generic golang fallthrough).
- .github/workflows/bump_deps.yaml: register mudler/ced.cpp -> CED_VERSION in
  backend/go/ced/Makefile so the daily bot bumps the pin.
- swagger/{docs.go,swagger.json,swagger.yaml}: regenerated via make swagger so
  the existing /v1/audio/classification annotations land in the generated spec.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ced): server-side windowing for realtime sound detection (option B)

Adds an optional server-driven sliding-window classifier so a sound-only
realtime client only has to stream audio (no input_audio_buffer.commit):

- Pipeline.sound_detection_window_ms / sound_detection_hop_ms config knobs.
  When both > 0 on a sound-only session, the server classifies the last
  window of streamed audio every hop and emits a conversation.item.sound_
  detection event; the input buffer is trimmed to one window so a long
  stream stays bounded. When unset, the session stays client-driven
  (option A). Runs independent of VAD (sound events are not speech).
- handleSoundWindow (ticker) + classifySoundWindow (one tick, extracted so
  it is unit-testable) + writeWindowWAV, which declares the true
  InputSampleRate (NewWAVHeaderWithRate) so the classifier resamples
  correctly. Goroutine is started after toggleVAD and torn down with the
  session (close + wg.Wait).
- Register pipeline.sound_detection (+window_ms/hop_ms) in the config meta
  registry; the earlier realtime commit added pipeline.sound_detection
  without a registry entry, failing TestAllFieldsHaveRegistryEntries. This
  fixes that and covers the two new knobs.

Tests: classifySoundWindow emits an event + trims the buffer to one window,
no-ops on too-little audio; writeWindowWAV declares the given sample rate.
go build/vet + golangci-lint (new-from-merge-base) clean; config + openai
suites green.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ced): add ced-base GGUF model gallery entries (f16 + q8_0)

The ced-base weights are now published at mudler/ced-base-gguf (Apache-2.0,
converted from mispeech/ced-base). Adds gallery/ced.yaml (backend: ced +
known_usecases: sound_classification) and two gallery/index.yaml entries
(ced-base-f16 default, ced-base-q8 smallest) with sha256-pinned files, and
removes the now-resolved TODO from backend/index.yaml.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ced): add tiny/mini/small GGUF model gallery entries

Publishes the rest of the CED family (same architecture, metadata-driven port
verified end-to-end on ced-tiny) to mudler/ced-{tiny,mini,small}-gguf and adds
their f16 + q8_0 gallery entries:

  ced-tiny  (5.5M, edge/Pi-class)  f16 11MB / q8_0 6MB
  ced-mini  (9.6M)                 f16 19MB / q8_0 11MB
  ced-small (22M)                  f16 42MB / q8_0 23MB

All sha256-pinned. ced-base remains the accuracy default.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* chore(ced): point gallery entries at the consolidated mudler/ced-gguf repo

All CED quantizations (tiny/mini/small/base, f16/q8_0) now live in a single
HuggingFace repo, mudler/ced-gguf, instead of per-model repos. Repoint the 8
gallery model entries' urls + file uris accordingly. sha256 and filenames are
unchanged.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* chore(ced): bump CED_VERSION to the short-clip fix

Pin the ced backend to ced.cpp 99c6ed3, which fixes a crash on any clip
shorter than target_length (~10.11s): time_pos_embed was added at its full
63-frame grid instead of being sliced to the clip's actual time grid, tripping
ggml_can_repeat in ggml_add. Surfaced by the live realtime e2e (sub-10s
windows) and gated with a short-clip parity test upstream.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* docs(ced): list ced.cpp as a LocalAI-team engine + backend-guide directive

- README.md: add ced.cpp to the "native C/C++/GGML engines developed and
  maintained by the LocalAI project" table.
- docs/content/features/backends.md: add a Sound Classification backend
  category (sound-event classification / audio tagging) listing ced.cpp.
- .agents/adding-backends.md: add a "Documenting the backend" section and two
  verification-checklist items requiring new backends to be documented in the
  backends.md category list, and in-house native engines to be added to the
  README maintained-engines table. This directive was missing.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* chore(ced): repin CED_VERSION to the v0.1.0 release commit

ced.cpp history was squashed into a single release commit (tagged v0.1.0), so
the previous pin (99c6ed3) no longer exists upstream. Pin to c04ac14, the
v0.1.0 release commit, so the backend builds against a commit that exists.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix(ced): silence gosec G304/G103 + govet unsafeptr on audited paths

- sound_classification.go: os.Create(dst) where dst = temp dir + path.Base of
  the upload (no traversal). #nosec G304, matching the depth-anything-cpp handler.
- goced.go: reading a NUL-terminated C string from a libced-owned buffer.
  #nosec G103 (gosec) + //nolint:govet (golangci-lint's unsafeptr check), since
  the uintptr is a C-owned malloc'd buffer, not Go-GC memory.

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>
 2026-06-22 01:00:28 +02:00
LocalAI [bot]
ce8a3e9266 chore: ⬆️ Update ServeurpersoCom/qwentts.cpp to 4536dcdce27c3764a93a06d6bf64026b124962f5 (#10431) 
⬆️ Update ServeurpersoCom/qwentts.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
 2026-06-22 01:00:10 +02:00
LocalAI [bot]
a88d9d2de3 chore: ⬆️ Update ikawrakow/ik_llama.cpp to 6c00e87ac84404af588ad2e65935bd6f079c696f (#10430) 
⬆️ Update ikawrakow/ik_llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
 2026-06-22 00:57:49 +02:00
LocalAI [bot]
1cf1bf32e1 chore: ⬆️ Update leejet/stable-diffusion.cpp to b12098f5d09fc83da36e65c784f7bdb16a5a5ebf (#10429) 
⬆️ Update leejet/stable-diffusion.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
 2026-06-22 00:57:33 +02:00
LocalAI [bot]
f45c6acc54 chore(model gallery): 🤖 add 1 new models via gallery agent (#10437) 
chore(model gallery): 🤖 add new models via gallery agent

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
 2026-06-22 00:57:08 +02:00
LocalAI [bot]
1a1bd57469 chore(model gallery): 🤖 add 1 new models via gallery agent (#10436) 
chore(model gallery): 🤖 add new models via gallery agent

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
 2026-06-22 00:46:56 +02:00
LocalAI [bot]
1f29e96030 chore(model gallery): 🤖 add 1 new models via gallery agent (#10433) 
chore(model gallery): 🤖 add new models via gallery agent

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
 2026-06-21 23:51:43 +02:00
LocalAI [bot]
64560a974b chore(model gallery): 🤖 add 1 new models via gallery agent (#10432) 
chore(model gallery): 🤖 add new models via gallery agent

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
 2026-06-21 23:31:17 +02:00
LocalAI [bot]
32c47706ae feat(realtime): speaker-aware conversations - surface identity to client and LLM (#10424) 
* feat(realtime): add voice_recognition enforce + identity config

Add Enforce *bool and Identity *VoiceIdentityConfig to
PipelineVoiceRecognition, plus EnforceGate/IdentityEnabled/
AnnounceEnabled/PersonalizeEnabled helpers. Enforce nil defaults to
gating (backward compatible); identity surfacing is independent of the
gate.

Assisted-by: Claude:claude-opus-4-8
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(realtime): add Speaker type and conversation.item.speaker event

Assisted-by: Claude:claude-opus-4-8
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* refactor(realtime): split voiceGate into Resolve + authorize

Split the speaker authorization into a Resolve step (embed once, produce a
types.Speaker identity) and a pure authorize policy step, with a 0..100
confidence score mirroring /v1/voice/identify. The legacy Authorize wrapper is
kept so existing specs stay green.

Assisted-by: Claude:claude-opus-4-8
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(realtime): resolve speaker per turn and emit conversation.item.speaker

Assisted-by: Claude:claude-opus-4-8
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(realtime): personalize LLM turns with recognized speaker

Set the per-message name field on each recognized user turn and append a
current-speaker note to the system message, both gated by the voice
recognition identity config.

Assisted-by: Claude:claude-opus-4-8
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* docs(realtime): document speaker identity surfacing and personalization

Document the new voice_recognition keys (enforce, identity.*) and the
LocalAI-extension conversation.item.speaker server event in the realtime
feature docs.

Assisted-by: Claude:claude-opus-4-8
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* test(realtime): cover when:first+identity re-resolution and multi-speaker history

Add two integration specs to harden the speaker-aware realtime path:

- when:first with an Identity block re-resolves the speaker every turn even
  though re-authorization is skipped after the first match: a later resolve
  error now fails closed, while a clean later resolve still surfaces and names
  the speaker.
- multi-speaker history attribution: each user turn carries its own per-message
  name and the injected system note reflects the latest speaker.

Test-only change; no production behavior was modified.

Assisted-by: Claude:claude-opus-4-8
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(realtime): surface speaker labels in conversation.item.speaker

Carry the registered speaker's labels (identify mode) on types.Speaker so
they flow into the conversation.item.speaker event and the stored item.
Verify mode has no labels, so the field is omitted there.

Assisted-by: Claude:claude-opus-4-8
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* test(e2e): cover conversation.item.speaker over a real websocket

Add a realtime-pipeline-identity config (verify mode, enforce:false, identity
announce+announce_unknown+personalize) and two e2e specs driving the real
server over a real WebSocket with the mock VoiceEmbed backend: an authorized
speaker yields a conversation.item.speaker event naming e2e-speaker (matched
true) and reaches response.done; an unauthorized speaker yields an unknown
(matched false, no name) event and still responds, proving enforce:false
never drops a turn.

Assisted-by: Claude:claude-opus-4-8
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix(config): register voice_recognition enforce + identity fields

The meta registry coverage test (TestAllFieldsHaveRegistryEntries) requires
every config field to have an entry in core/config/meta/registry.go. The new
voice_recognition.enforce and voice_recognition.identity.* fields were missing,
failing tests-linux and tests-apple. Add registry entries (toggles) so the
fields are surfaced in the model-config editor and the coverage test passes.

Assisted-by: Claude:claude-opus-4-8
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>
Co-authored-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
 2026-06-21 21:07:10 +02:00
Tai An
e58870a573 feat(react-ui/chat): paste images from clipboard into chat input (#10428) 
The chat input only accepted attachments via the file picker, so users
who copied an image from a webpage or a screen region had to first save
it to a file before attaching it (#10361).

Add an onPaste handler on the input textarea that pulls image items out
of the clipboard and routes them through the same staging path as the
file picker. The per-file processing in handleFileChange is extracted
into a shared processFiles helper so both entry points stay in sync.
Clipboard images, which arrive unnamed or as a generic "image.png", are
given unique typed names so multiple pastes don't collide, and the
default paste is suppressed only when an image is actually attached so
normal text paste is unaffected.

Closes #10361

Signed-off-by: Anai-Guo <antai12232931@outlook.com>
 2026-06-21 18:20:56 +02:00
LocalAI [bot]
8fab1d2e45 fix(ci): namespace-import js-yaml in changed-backends.js (Bun ESM: missing default export) (#10427) 
fix(ci): use namespace import for js-yaml in changed-backends.js

js-yaml's ESM build exposes only named exports (load, dump, ...) and no
default export. Bun's strict ESM interop rejects the default import with
'Missing default export in module js-yaml.mjs', failing the detect-changes
and generate-matrix CI jobs. Import the namespace instead; yaml.load (the
only usage) resolves to the named export, so behavior is unchanged.

Assisted-by: Claude:claude-opus-4-8

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
 2026-06-21 17:52:02 +02:00
LocalAI [bot]
7b462a0d51 fix(backend): call vram.EstimateModelMultiContext (master build broken: undefined vram.EstimateModel) (#10426) 
fix(backend): call vram.EstimateModelMultiContext for model size estimate

core/backend/options.go called vram.EstimateModel, which does not exist in
the vram package (it exposes EstimateModelMultiContext). This broke the build
on master (undefined: vram.EstimateModel). Use EstimateModelMultiContext with
a nil context-size slice (defaults to a single 8192 estimate); the returned
MultiContextEstimate.SizeBytes is exactly what the caller consumes, so size
estimation behavior is unchanged.

Assisted-by: Claude:claude-opus-4-8

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
 2026-06-21 17:51:46 +02:00
LocalAI [bot]
aed181e6c1 chore(model gallery): 🤖 add 1 new models via gallery agent (#10423) 
chore(model gallery): 🤖 add new models via gallery agent

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
 2026-06-21 17:40:55 +02:00
OrbisAI Security
a556cd9afc fix: the trl backend's _do_training method directly ... in backend.py (#10422) 
* fix: V-001 security vulnerability

Automated security fix generated by OrbisAI Security

Signed-off-by: orbisai0security <mediratta01.pally@gmail.com>

* fix: the trl backend's _do_training method directly ... in backend.py

The TRL backend's _do_training method directly uses request

Signed-off-by: orbisai0security <mediratta01.pally@gmail.com>

---------

Signed-off-by: orbisai0security <mediratta01.pally@gmail.com>
 2026-06-21 17:40:29 +02:00
Leoy
b50b1fe418 feat(watchdog): add size-aware LRU eviction mode (#9527) 
* feat(watchdog): add size-aware LRU eviction mode

When the model count hits the LRU limit or the memory reclaimer fires,
evict the largest model by on-disk file size first rather than the
least-recently-used one.  For GGUF models the file size is a reliable
proxy for GPU/RAM footprint, so evicting the largest candidate maximises
freed memory per eviction round while keeping small utility models
(embeddings, classifiers, rerankers) resident.

Changes:
- `pkg/model/watchdog.go`: add `sizeAwareEviction` flag and
  `modelSizes map[string]int64` to `WatchDog`; sort candidates by
  `sizeBytes` desc (LRU time as tiebreaker) when the flag is set;
  add `RegisterModelSize`, `SetSizeAwareEviction`, `GetSizeAwareEviction`
- `pkg/model/watchdog_options.go`: add `WithSizeAwareEviction` option
- `pkg/model/initializers.go`: stat model file after load and call
  `RegisterModelSize` so size data is available before the first eviction
- `core/config/application_config.go`, `runtime_settings.go`: add
  `SizeAwareEviction` field and `WithSizeAwareEviction` app option;
  expose via `ToRuntimeSettings` / `ApplyRuntimeSettings` for the
  `POST /api/settings` live-reload path
- `core/cli/run.go`: add `--size-aware-eviction` flag /
  `LOCALAI_SIZE_AWARE_EVICTION` env var
- `core/application/startup.go`, `watchdog.go`: wire the new option
  through to `NewWatchDog`
- `pkg/model/watchdog_test.go`: 5 new specs — option enable, dynamic
  toggle, largest-first ordering, equal-size LRU tiebreaker, no-size
  fallback to LRU, and size-map cleanup on eviction

Closes #9375

Signed-off-by: supermario_leo <leo.stack@outlook.com>

* refactor(watchdog): use vram estimation scaffolding for model size

Replace the brittle os.Stat(modelFile) approach with a proper call to
pkg/vram, which handles multi-file models (DownloadFiles, MMProj) and
all weight file types, not just single GGUF files.

- Add estimateModelSizeBytes() in core/backend/options.go that collects
  all weight file URIs from the model config, resolves them to file://
  URIs, and calls vram.Estimate() with the shared DefaultCachedSizeResolver
  (15-min TTL cache avoids redundant stat calls on repeated loads)
- Thread the result through via a new WithModelSizeBytes() loader option
- In initializers.go, consume the pre-computed size instead of calling
  os.Stat; if no size was supplied (e.g. for external/router-dispatched
  models) the registration is simply skipped

Signed-off-by: supermario_leo <leo.stack@outlook.com>

* refactor(watchdog): use EstimateModel with HF fallback for size estimation

Switch estimateModelSizeBytes from calling vram.Estimate directly to the
unified vram.EstimateModel entry point, which adds automatic fallbacks:
file-based GGUF metadata → HF API → size string.

Also extract the HuggingFace repo ID from model URIs (huggingface://,
hf://, https://huggingface.co/ and org/model short-form) and pass it
as ModelEstimateInput.HFRepo, so models not yet downloaded locally can
still get a size estimate via the HF API.

Addresses @mudler's review feedback: "better to rely on EstimateModel
and pass by the HF URL of the model extracted from the URI".

Signed-off-by: supermario_leo <leo.stack@outlook.com>

* feat(webui): add Size-Aware Eviction toggle to settings page

The size-aware eviction setting was wired through the CLI flag and the
RuntimeSettings live-reload path (POST /api/settings) but had no handle
on the React settings page, so it could not be toggled from the UI.

Add a Size-Aware Eviction toggle to the Watchdog section, next to the
existing Force Eviction When Busy / LRU eviction handles. The settings
page loads and saves the whole RuntimeSettings object, so the new
size_aware_eviction key is picked up with no extra plumbing.

Addresses @mudler's review feedback: the application config setting
should land on the same UI settings page as the other handles.

Signed-off-by: supermario_leo <leo.stack@outlook.com>

---------

Signed-off-by: supermario_leo <leo.stack@outlook.com>
 2026-06-21 17:17:04 +02:00
pos-ei-don
b4c0dc67fe feat(vllm): progressive streaming via parser.extract_tool_calls_streaming (follow-up to #10346) (#10351) 
* fix(vllm): don't stream raw tool-call markup as content when a tool parser is active

When a tool_parser is configured and the request carries tools, the streaming
loop emitted every text delta as delta.content — including the model's raw
tool-call markup (e.g. <tool_call>...) — because extract_tool_calls only runs
on the full output after the stream. Clients streaming a tool call therefore
saw the unparsed tool-call syntax as assistant content.

Buffer the text while a tool parser is active for the request; the existing
end-of-stream chat_delta already carries the parsed tool_calls (or the cleaned
content), which the Go side converts to SSE deltas. Non-tool-parser streaming
is unchanged.

Add a server-less regression test covering both the tool-call case (no raw
markup leaked as content) and the plain-text case (content delivered exactly
once — guards against double-emitting the buffered content).

Signed-off-by: pos-ei-don <1822533+pos-ei-don@users.noreply.github.com>

* test(vllm): add expectedFailure test for progressive streaming with tool parser (Case 3, #582)

Signed-off-by: pos-ei-don <1822533+pos-ei-don@users.noreply.github.com>

* test(vllm): add Cases 4+5 — marker split across chunks + false-positive prefix (TDD, Option B state machine, #582)

Signed-off-by: pos-ei-don <1822533+pos-ei-don@users.noreply.github.com>

* feat(vllm): progressive streaming via parser.extract_tool_calls_streaming

When a tool parser is active for a tool-enabled streaming request,
#10346 buffers the entire generation and surfaces it on the final
chunk to prevent raw tool-call markup from leaking as delta.content.
This is correct but turns the request into effectively non-streaming
for plain-text responses — the client sees nothing until the model
stops.

Every concrete tool parser shipped with vLLM 0.23+ already implements
extract_tool_calls_streaming (Granite4, Qwen3Coder, DeepSeekV31, Jamba,
Ernie45, Hermes2Pro, llama3_json, mistral, …). Use it: instantiate
the parser before the streaming loop and call its streaming method per
delta, emitting DeltaMessage(content=…) or DeltaMessage(tool_calls=[…])
when the parser is ready.

Falls back to the existing #10346 buffer path when:
  - the parser does not have extract_tool_calls_streaming, OR
  - extract_tool_calls_streaming raises mid-stream (logged, the
    rest of the request finishes via post-loop extract_tool_calls).

Tests (TestStreamingToolParser):
  1. Buffer path: no markup leaked, no content duplication
  2. Native streaming: plain-text response streams progressively
  3. Native streaming: tool_call structured, no markup leaked
  4. Native streaming exception → graceful fallback, no markup, no crash
  5. No tool parser → unchanged per-delta content stream

E2E verified against qwen3_coder on vLLM 0.23.0 (NVIDIA GB10 / arm64 / CUDA 13).

Signed-off-by: pos-ei-don <1822533+pos-ei-don@users.noreply.github.com>

* docs(vllm): add server-side TTFT benchmark for the streaming tool-parser path

Self-contained stdlib-only script that measures time-to-first-token (TTFT)
for the vLLM backend's two streaming scenarios:

  - tool_call:  request mentions a tool; model is expected to call it
  - plain_text: request offers a tool but explicitly asks for prose

Use this to compare:
  - the buffer-all path (#10346)         → plain_text TTFT ≈ total response time
  - the native-streaming path (this PR)  → plain_text TTFT ≈ true first-token time

  python examples/vllm-bench/ttft_streaming_tool_parser.py \\
      --url http://localhost:8080 --model my-coder --runs 3

Lives under examples/ so it does not interfere with the test suite.

Signed-off-by: pos-ei-don <1822533+pos-ei-don@users.noreply.github.com>

* examples/vllm-bench: add long-text scenario (8 paragraphs, 1500 tokens)

The long-text scenario shows the buffering vs streaming difference most
dramatically: with the buffer-all path, the client receives nothing for
20+ seconds and then the entire 1500-token response at once. With native
streaming, the first token arrives in tens of milliseconds and the
response flows progressively.

Signed-off-by: pos-ei-don <1822533+pos-ei-don@users.noreply.github.com>

---------

Signed-off-by: pos-ei-don <1822533+pos-ei-don@users.noreply.github.com>
Co-authored-by: Philipp Wacker <philipp.wacker@ibf-solutions.com>
 2026-06-21 17:07:15 +02:00
番茄摔成番茄酱
01fa12e0de feat(nemo): enable word-level timestamps for ASR models (#10297) 
* feat(nemo): enable word-level timestamps for ASR models

The nemo backend ignored timestamp_granularities and always returned a
single segment with start=0 end=0, making word-level timestamps
impossible to obtain even though the NeMo models (parakeet-tdt, etc.)
fully support them.

Changes:
- Add _get_stride_seconds() to compute frame duration from the model's
  preprocessor window_stride and encoder subsampling_factor.
- Add _build_segments_with_words() that extracts word offsets from the
  NeMo Hypothesis.timestamp dict and converts frame indices to
  nanosecond timestamps.
- Support 'word' granularity (one segment per word) and 'segment'
  granularity (merge at time-gap boundaries using a dynamic threshold).
- Populate TranscriptSegment.words with TranscriptWord entries so
  callers get both segment-level and word-level timing.
- Only request timestamps from NeMo when the caller actually asks for
  them (timestamp_granularities is non-empty), keeping the fast path
  unchanged for callers that don't need timestamps.

Tested with nvidia/parakeet-tdt-0.6b-v3 on the JFK "ask not" clip:
  curl -X POST /v1/audio/transcriptions \
    -F file=@jfk.wav -F model=nemo-parakeet-tdt-0.6b \
    -F 'timestamp_granularities[]=word' -F response_format=verbose_json
  → each word has correct start/end times in seconds.

Signed-off-by: fqscfqj <fqscfqj@outlook.com>

* fix(nemo): address Copilot review feedback

- Narrow exception handling in _get_stride_seconds to catch only
  AttributeError, KeyError, TypeError instead of bare Exception, and
  emit a warning when falling back to the hardcoded stride.
- Remove explicit return_hypotheses=False when timestamps are requested;
  timestamps=True already forces NeMo to return Hypothesis objects.
- Add a warning when NeMo does not return Hypothesis objects despite
  timestamps being requested.

Signed-off-by: fqscfqj <fqscfqj@outlook.com>

---------

Signed-off-by: fqscfqj <fqscfqj@outlook.com>
 2026-06-21 17:04:19 +02:00
番茄摔成番茄酱
cf7f9573a2 fix(crispasr): filter garbage words from parakeet word-level timestamps (#10421) 
The parakeet-specific word accessors can return stale initialisation
data (model name, binary blobs) for segments with no real speech.
Add isValidWord() to filter out words that have:
- empty or whitespace-only text
- U+FFFD replacement characters (from binary data scrubbing)
- negative timestamps
- zero duration (end <= start)

Also skip empty segments entirely when they have no recognisable
content (empty text AND no valid words), preventing spurious subtitle
entries like '00:45:33,592 --> 00:45:33,592 parakeet@rH\u000b\ufffdI'.

Applies to both AudioTranscription and AudioTranscriptionStream.

Signed-off-by: fqscfqj <fqscfqj@outlook.com>
 2026-06-21 17:03:33 +02:00
pos-ei-don
c6303104c7 fix(vllm): structured outputs silently ignored on vLLM >= 0.23 (GuidedDecodingParams removed) (#10343) 
fix(vllm): structured outputs silently ignored on vLLM >= 0.23

vLLM >= 0.23 removed GuidedDecodingParams (now StructuredOutputsParams) and
renamed the SamplingParams field guided_decoding -> structured_outputs. The
import failed, HAS_GUIDED_DECODING became False, and the whole guided-decoding
block was skipped, so response_format / grammar constraints were silently
ignored. Adapt the existing request.Grammar path to the new class/field.

Signed-off-by: pos-ei-don <1822533+pos-ei-don@users.noreply.github.com>
 2026-06-21 17:02:31 +02:00
LocalAI [bot]
3e96d811b7 fix(ui): keep row action menu anchored and stop scroll snap on /app/manage (#10419) 
Opening a model row's kebab (ActionMenu) on the Manage dashboard snapped the
page scroll to the top and rendered the menu detached from its trigger, making
it impossible to operate.

Two compounding causes:

- The menu auto-focus called el.focus() without preventScroll, so the browser
  scrolled the focused element into view, yanking the page to the top.
- The position:fixed Popover was rendered inline inside the table row. The
  editorial UI overhaul added hover transforms to rows/cards, and a transformed
  ancestor re-anchors position:fixed to itself instead of the viewport, so the
  menu (positioned from the trigger's viewport rect) landed in the wrong place.

Fix: portal the Popover to document.body so position:fixed always resolves
against the viewport, position it before paint with useLayoutEffect (no {0,0}
flash), and pass preventScroll:true to both focus calls.

Adds an e2e regression test that reproduces the symptom (scroll jumped from 564
to 0 on the old code) and asserts the menu tracks its trigger.


Assisted-by: Claude:claude-opus-4-8 [Claude Code]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
 2026-06-20 23:25:29 +02:00
LocalAI [bot]
23f225260c refactor(config): single source of truth for default values (#10418) 
refactor(config): single source of truth for default values across config + backend

Defaults were decided in two areas with duplicated/drifted literals: the config
SetDefaults tiers vs core/backend/options.go's grpcModelOpts (which translates a
ModelConfig to the backend wire format and supplied its own fallbacks). They had
drifted - n_gpu_layers 9999999 (options.go) vs 99999999 (gguf.go), two 512 batch
constants, context 1024 (gguf) vs 4096 (backend) scattered as bare literals.

Introduce core/config/defaults.go as the canonical home (DefaultContextSize=4096,
GGUFFallbackContextSize=1024, DefaultNGPULayers=99999999, DefaultFlashAttention=
auto). gguf.go / hooks_llamacpp.go use them directly; core/backend references them
(backend imports config, never the reverse) so DefaultContextSize/DefaultBatchSize
and the flash-attn / n_gpu_layers fallbacks resolve to one place. The two context
values (1024 GGUF-no-estimate vs 4096 general) are kept distinct but now named +
documented, not blind literals. Behavior-preserving; config + backend suites green.

Assisted-by: Claude:opus-4.8 [Claude Code]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
 2026-06-20 22:58:36 +02:00
LocalAI [bot]
aef10723c9 feat(config): prefix caching default + consolidate scattered defaults (#10415) 
* feat(config): enable cross-request prefix caching for serving (Phase 2)

The llama.cpp backend ships n_cache_reuse=0 (cross-request KV prefix reuse via
shifting disabled). Enable it by default (256) so repeated prefixes - system
prompts, RAG context, agent scaffolds, multi-turn chat - aren't recomputed. This
is the universally-useful part of 'paged attention' (shared-prefix reuse, which
the upstream maintainers themselves identify as where paged attn actually helps)
and needs none of the block-KV machinery.

Lives in a serving_defaults.go sibling to hardware_defaults.go (device-driven vs
serving-policy defaults); both run from SetDefaults and only fill unset values.
Explicit cache_reuse/n_cache_reuse always wins. Device-independent, so it
propagates to distributed nodes via the model options with no router change.
Shares the backendOptionSet helper with the Phase-1 parallel default.

Assisted-by: Claude:opus-4.8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* refactor(config): extract generic fallback defaults into ApplyGenericDefaults

Behavior-preserving: move the inline sampling-param + runtime-flag fallbacks out
of SetDefaults into ApplyGenericDefaults, completing the domain-grouped tiers
(ApplyInferenceDefaults=family, ApplyHardwareDefaults=device, ApplyServingDefaults
=serving, ApplyGenericDefaults=generic fallbacks). SetDefaults is now a clean
orchestrator. Same order (runs after the family/hardware/serving tiers so those
win) and same conditions (TopK gated on UsesLlamaSamplerDefaults, MMap on XPU).
No behavior change; full config suite green. (NGPULayers stays in the GGUF-read
path for now - it's device-driven but coupled to model-size detection; a separate
follow-up.)

Assisted-by: Claude:opus-4.8 [Claude Code]
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>
 2026-06-20 22:44:44 +02:00
LocalAI [bot]
9565db5f94 feat(models): model aliases - redirect a model name to another configured model (#10414) 
* feat(config): add model alias field and self-validation

Add ModelConfig.Alias (yaml: alias), IsAlias(), and an alias
short-circuit at the top of Validate() that rejects self-reference and
forbids setting backend/parameters.model on a pure-redirect alias.

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(config): resolve and validate model alias targets in the loader

Assisted-by: Claude:opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(middleware): resolve model aliases and stamp requested/served identity

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(modeladmin): reject alias configs with invalid targets on create/edit

Validate alias targets at create/swap entry points (ImportModelEndpoint,
EditYAML, PatchConfig) so a dangling, chained, or disabled alias target is
rejected at save time rather than surfacing as a runtime error.

Assisted-by: Claude:opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(api): add GET /api/aliases to list model aliases

Adds an admin-gated read-only endpoint that lists every model alias
config as {name, target} pairs, backed by the loader's existing
GetAllModelsConfigs().

Assisted-by: Claude:opus-4.8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(mcp): add set_alias and list_aliases tools

Expose model-alias management over the LocalAI Assistant MCP surface:
list_aliases (read-only, GET /api/aliases) and set_alias (mutating).
SetAlias is swap-first: PATCH /api/models/config-json/:name swaps an
existing alias's target (validated, non-destructive) and a 404 falls
back to POST /models/import to create a fresh {name, alias} config. The
inproc client mirrors this via ConfigService.PatchConfig + a create path
modeled on ImportModelEndpoint. Deletion reuses delete_model.

Assisted-by: Claude:claude-opus-4 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* style(mcp): replace em dashes in alias tool comments

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(config-meta): expose alias as a model-select field

Add an 'alias' section to DefaultSections() and an 'alias' field override
in DefaultRegistry() so the schema-driven React editor renders the new
top-level ModelConfig.Alias field as a model picker in its own section.

Assisted-by: Claude:opus-4.8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ui): add alias template card and Manage alias badge

Add an 'Alias / Routing' template to the create-flow gallery that seeds a
minimal name + alias config, and a read-only 'alias -> target' badge on the
Manage Models tab. The capabilities row payload does not carry the alias
field, so the badge resolves targets from GET /api/aliases looked up by name.

Assisted-by: Claude:claude-opus-4 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* docs: document model aliases

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* docs(swagger): regenerate for GET /api/aliases

Adds the /api/aliases path and AliasInfo schema generated from the
ListAliasesEndpoint annotation.

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* test(localai): check os.RemoveAll error in aliases_test

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix: correct alias conversion docs and advertise /api/aliases in instructions

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix(mcp): write alias config 0600 to satisfy gosec G306

The inproc createAlias path wrote the alias YAML with 0644, which gosec
flags as a new G306 finding on the PR. The LocalAI process is the sole
reader/writer of model configs, so 0600 is correct and keeps the scan clean.

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
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>
 2026-06-20 22:38:42 +02:00
LocalAI [bot]
e19c43cf04 feat(gallery): add Depth Anything V2 models + bump native version (#10413) 
* feat(gallery): add Depth Anything V2 models + bump native version

Add Depth Anything V2 (DA2) support to the depth-anything backend. DA2 is
depth-only (no camera pose, no confidence) and ships both relative
(relative inverse depth) and metric (depth in metres) variants. The Go
backend is model-agnostic, so no backend code changes are required — only
a native version bump and new gallery entries.

- backend/go/depth-anything-cpp/Makefile: pin DEPTHANYTHING_VERSION to the
  depth-anything.cpp commit that adds the DA2 engine + C-API routing
  (e3dec57f13a52366bbc4f279ef44804915960a6b, kept alive by the upstream tag
  da2-support so it survives a squash-merge).
- gallery/index.yaml: add 12 DA2 entries (4 base quants, small, large, plus
  Hypersim indoor and VKITTI outdoor metric models in S/B/L). Metric models
  carry the metric-depth tag; none carry camera-pose.

Assisted-by: Claude:claude-opus-4-8

* chore(depth-anything-cpp): pin to merged DA2 master commit

PR #1 (mudler/depth-anything.cpp) merged to master as f4e17de (squash); repoint
the pin from the pre-merge commit to the canonical master commit.

Assisted-by: Claude:claude-opus-4-8

---------

Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
 2026-06-20 14:56:16 +02:00
LocalAI [bot]
b081247d95 feat(config): hardware-tuned defaults — Blackwell batch + VRAM-scaled concurrency (#10411) 
* feat(config): node-aware hardware defaults — larger physical batch on Blackwell

A larger physical batch (n_batch/n_ubatch) materially lifts MoE prefill on
NVIDIA Blackwell consumer GPUs (sm_120/121, incl. GB10 / DGX Spark) — measured
on a GB10 with Qwen3-Coder-30B-A3B, the prefill ceiling rises (ub512 ~2994 ->
ub2048 ~3316 t/s) and saturates around 2048.

The heuristic lives in core/config alongside the other config overriders
(ApplyInferenceDefaults, guessDefaultsFromFile/NGPULayers) — they all fill the
ModelConfig from heuristics, so hardware tuning is the same domain and stays in
one place. It is parameterized on a GPU descriptor (not direct detection) so it
works in both deployment shapes:

- Single host: SetDefaults applies it with the LocalGPU.
- Distributed: only the worker sees the GPU, so the worker reports its compute
  capability on registration (gpu_compute_capability -> BackendNode), and the
  router re-applies the SAME core/config heuristic for the SELECTED node before
  loading — fixing the case where the frontend has no GPU at all.

Explicit `batch:` always wins (only managed default values are touched).
xsysinfo gains NVIDIAComputeCapability() (detection only); all interpretation
lives in core/config. Tests: core/config, pkg/xsysinfo, core/services/nodes.

Assisted-by: Claude:opus-4.8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* test(config): injectable local-GPU seam + single-instance coverage

Make local GPU detection an injectable package var (localGPU) so the
single-instance path (SetDefaults -> ApplyHardwareDefaults) is deterministically
testable without a real GPU, mirroring the distributed override's coverage.
Adds specs asserting SetDefaults sets the Blackwell physical batch, leaves it
unset on non-Blackwell, and never overrides an explicit batch.

Assisted-by: Claude:opus-4.8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(config): default concurrent serving (n_parallel) by GPU VRAM

The llama.cpp backend defaults n_parallel=1, which serializes multi-user requests
and leaves continuous batching off (it auto-enables only at n_parallel>1). Fold a
VRAM-scaled parallel-slot default into the hardware-config path so multi-user
serving works out of the box: >=32GiB->8, >=8GiB->4, >=4GiB->2, else unchanged.
With the backend's unified KV the slots SHARE the context budget, so this adds
concurrency without multiplying KV memory. Explicit parallel/n_parallel always
wins. EnsureParallelOption is shared by the single-host path (ApplyHardwareDefaults
with the local GPU) and the distributed router (per selected node's reported VRAM,
since the frontend may have no GPU). LocalGPU now also reports VRAM.

Assisted-by: Claude:opus-4.8 [Claude Code]
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>
 2026-06-20 14:45:59 +02:00
LocalAI [bot]
1be959ce30 docs: mention apex-quant in the README (#10412) 
Add apex-quant (MoE per-tensor/per-layer quantization recipe) to the
"Backends built by us" section as a note after the engines table, since
it is a quantization recipe rather than a native inference engine.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
 2026-06-20 11:04:56 +02:00
LocalAI [bot]
518381278e chore: ⬆️ Update ggml-org/llama.cpp to e475fa2b5f9fb50c3d6fc3e7c6fdf1e004465b62 (#10392) 
* ⬆️ Update ggml-org/llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>

* fix(llama-cpp): adapt grpc-server to upstream server-schema split

Upstream llama.cpp (e475fa2) extracted the JSON request-schema evaluation
out of the static server_task::params_from_json_cmpl into the new
server_schema::eval_llama_cmpl_schema (tools/server/server-schema.cpp).
The grpc-server unity build still called the old static member, breaking
every llama-cpp backend build with "no member named 'params_from_json_cmpl'
in 'server_task'".

Pull server-schema.cpp into the translation unit and call the new function,
keeping both guarded by __has_include so forks that predate the split (e.g.
llama-cpp-turboquant, which still exposes params_from_json_cmpl) keep
compiling against the old static member.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]

---------

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
 2026-06-20 08:22:22 +02:00
LocalAI [bot]
93706fec57 chore: ⬆️ Update mudler/parakeet.cpp to db755a78d39f789bb7d4e3935158a9e8105dbe36 (#10393) 
⬆️ Update mudler/parakeet.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
 2026-06-20 01:37:33 +02:00
LocalAI [bot]
11aee03a80 chore: ⬆️ Update localai-org/privacy-filter.cpp to 98f52c5ef2250f207cc6b9a6aef05393a120cb7c (#10394) 
⬆️ Update localai-org/privacy-filter.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
 2026-06-20 01:37:21 +02:00
LocalAI [bot]
8915f2ab91 chore: ⬆️ Update ggml-org/whisper.cpp to 5ed76e9a079962f1c85cfce44edd325c27ef1f97 (#10396) 
⬆️ Update ggml-org/whisper.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
 2026-06-20 01:37:06 +02:00
LocalAI [bot]
f143d7f688 chore: ⬆️ Update ikawrakow/ik_llama.cpp to d47f484d299cafad2e606afc0d31677a91b242d0 (#10410) 
⬆️ Update ikawrakow/ik_llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
 2026-06-20 01:36:51 +02:00
LocalAI [bot]
dd928f0bdd chore: ⬆️ Update ServeurpersoCom/qwentts.cpp to 26fcea5468e4069bc72d1f2fcc812c985e7361bb (#10409) 
⬆️ Update ServeurpersoCom/qwentts.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
 2026-06-20 01:36:36 +02:00
LocalAI [bot]
c43a752afc chore: ⬆️ Update ServeurpersoCom/omnivoice.cpp to 96d30169afd5e6bb3fd6a0e9be0eb505bfe81fcd (#10408) 
⬆️ Update ServeurpersoCom/omnivoice.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
 2026-06-20 01:36:22 +02:00
LocalAI [bot]
079ac0e15a fix(realtime): raise WebRTC data-channel max-message-size + keep sendLoop alive (#10407) 
* fix(realtime): raise WebRTC data-channel max-message-size for large events

Browsers advertise a conservative SCTP max-message-size in their SDP offer
(Chrome uses 256 KiB). pion enforces the remote's advertised value on send, so
a single realtime event larger than it cannot be sent over the "oai-events"
data channel: SendText fails, the event is dropped, and the turn silently
yields no response. Some turns legitimately produce a >256 KiB JSON event —
notably tool calls with sizeable schemas or results.

Browsers advertise the value conservatively but their SCTP stacks reassemble
much larger messages, so raise the max-message-size honored for our own
server-generated events by rewriting the attribute in the offer before
SetRemoteDescription.

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix(realtime): keep the WebRTC sendLoop alive when one event send fails

A failed SendText on the oai-events data channel exited the sender goroutine,
so a single dropped event (e.g. one over the negotiated SCTP max-message-size)
tore down the session and silently dropped every subsequent event. Log and skip
the offending event instead and keep draining; a genuinely dead transport is
still handled by the closed / connection-state path.

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
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>
 2026-06-19 21:36:25 +02:00
LocalAI [bot]
2e734bf560 fix(downloader): stall timeout, resume-safe cancel, and stale-partial reaping (#10406) 
* fix(downloader): stall timeout, resume-safe cancel, and stale-partial reaping

Large model installs would hang forever or never finish. Three defects in
the HTTP download path, all hit by big GGUF pulls over a slow or flaky link:

1. No stall timeout. The shared download client sets no body deadline
   (correct for streaming) but also no read-idle timeout, and the
   transport's IdleConnTimeout does not cover an in-flight body read. A
   silently-dropped TCP connection (no FIN/RST) blocked the body Read
   forever, freezing an install at N bytes until an external reaper killed
   it. Add an idle-timeout reader that closes the body after a window of
   zero progress (DownloadStallTimeout, default 60s), turning an indefinite
   hang into a fast, retryable error. A read that returns data resets the
   clock, so a slow-but-steady transfer is unaffected.

2. Cancellation deleted the partial. On context.Canceled the code removed
   the .partial file, so any frontend restart (deploy, OOM) mid-download
   wiped all progress and the retry restarted from zero. At slow egress,
   files larger than the restart interval never completed. Keep the
   .partial on cancel so the next attempt resumes via Range.

3. Partials leaked. Cleanup only ran on the context-cancel path, never on a
   stall or a SIGKILL/OOM, so abandoned .partial files accumulated and could
   fill the models volume. Add CleanupStalePartialFiles and reap partials
   older than 24h on startup.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]

* fix(downloader): discard the .partial on a deliberate user cancel

Review follow-up. The previous commit kept the .partial on every cancellation
so restarts could resume, but that also left a dangling partial when a user
*intentionally* cancelled an install — the file lingered until the 24h reaper.

Distinguish the two: cancel the gallery operation's context with a cause
(downloader.ErrUserCancelled) so the download layer can tell a deliberate
abort (discard the partial) from an incidental one such as a shutdown/restart
(keep it for resume). Detect cancellation via the context rather than the
returned error, because an HTTP request cancelled with a cause surfaces the
cause error, not context.Canceled.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]

* fix(downloader): resolve gosec G122 in CleanupStalePartialFiles

CI's code-scanning (gosec) flagged G122 (symlink TOCTOU) for the os.Remove
call inside the filepath.WalkDir callback. Collect the stale paths during the
walk and delete them afterwards instead of mutating the tree from inside the
callback. Behavior is unchanged; the existing specs still pass.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
 2026-06-19 21:35:21 +02:00
番茄摔成番茄酱
72d46c1115 feat(crispasr): add word-level timestamp support (#10403) 
* feat(crispasr): add word-level timestamp support

Add word-level timestamp extraction to the crispasr backend by calling
the CrispASR C library's word accessor functions that are already
exported by libgocraspasr but were not previously bound by the Go
wrapper.

Two families of word functions are supported:

1. Session-based (get_word_count/text/t0/t1) — works per-segment for
   whisper-like backends.
2. Parakeet-specific (get_parakeet_word_count/text/t0/t1) — returns a
   global word list for TDT/CTC/RNNT parakeet models where the session
   API does not expose per-segment word data.

The Go code tries session-based first and falls back to parakeet-specific
when the session word count is zero.

Depends on #10402 (grpc server Words forwarding) for the words to reach
the HTTP response.

Signed-off-by: fqscfqj <fqscfqj@outlook.com>

* fix(crispasr): use portable sed -i.bak for macOS compatibility

BSD sed requires -i '' for in-place editing while GNU sed uses -i.
Replace with -i.bak which works on both platforms, then remove the
backup file.

Signed-off-by: fqscfqj <fqscfqj@outlook.com>

---------

Signed-off-by: fqscfqj <fqscfqj@outlook.com>
 2026-06-19 21:34:30 +02:00
Richard Palethorpe
606128e4e9 feat(vulkan): make Vulkan backends self-contained on the GPU (#10404) 
Vulkan backends bundled their own loader and ICD manifests but neither the
Mesa driver the manifests point at nor a way to make the loader find them,
so on a runtime base image without Mesa the loader enumerated zero devices
and the GPU silently fell back to CPU (only NVIDIA worked, since its ICD is
injected by the container toolkit).

- scripts/build/package-gpu-libs.sh: for each installed ICD manifest, bundle
  the driver .so its library_path names — no hard-coded, platform-dependent
  soname list — plus that driver's ldd dependencies, skipping manifests whose
  driver isn't installed. Rewrite each library_path to a bare soname so the
  bundled driver resolves via the LD_LIBRARY_PATH run.sh already sets.
- .docker/install-base-deps.sh, backend/Dockerfile.golang,
  backend/Dockerfile.python: install mesa-vulkan-drivers in every Vulkan
  builder so the driver + manifests exist to be packaged (the LunarG SDK
  ships only the loader and shader tooling).
- pkg/model/process.go: when a backend ships vulkan/icd.d/, point the loader
  at it via VK_DRIVER_FILES/VK_ICD_FILENAMES at launch (no-op otherwise).
  Covered by pkg/model/process_vulkan_test.go.
- backend/go/parakeet-cpp/package.sh: complete the L0 stub (was missing the
  libc-family ldd walk + GPU-lib packaging) by mirroring whisper, so the
  vulkan-parakeet image actually bundles its GPU runtime.

Assisted-by: Claude Code:claude-opus-4-8

Signed-off-by: Richard Palethorpe <io@richiejp.com>
 2026-06-19 17:16:33 +02:00
Souheab
59c7ad5153 fix(nix flake): ensure nix flake builds successfully (#10399) 
* Use inference defaults in repo src rather than fetching

there are inference_defaults.json already in the repo so we can use
those, they are regularly updated with github actions, and we avoid hash
mismatch errors in the flake this way

Signed-off-by: Souheab <souheab@protonmail.com>

* Update vendor hash

Signed-off-by: Souheab <souheab@protonmail.com>

* Create react-ui derivation as it is required for go build

Signed-off-by: Souheab <souheab@protonmail.com>

* Add FHS env wrapper to make #!/bin/bash scripts work

Signed-off-by: Souheab <souheab@protonmail.com>

* use pkgs.importNpmLock to deal with npm dependencies instead of using npmDepsHash

Signed-off-by: Souheab <souheab@protonmail.com>

---------

Signed-off-by: Souheab <souheab@protonmail.com>
 2026-06-19 17:15:18 +02:00
番茄摔成番茄酱
78d682224a fix(grpc): forward word-level timestamps in AudioTranscription wrapper (#10402) 
The gRPC server wrapper in pkg/grpc/server.go reconstructs
TranscriptSegment messages when relaying AudioTranscription results
from backends. The Words field was not being copied, causing all
word-level timestamps to be silently dropped regardless of backend
support.

This was introduced when PR #9621 added the TranscriptWord proto
message and transcriptResultFromProto (server-side), but did not
update the server-side gRPC relay to forward the new field.

Fixes #9306

Signed-off-by: fqscfqj <fqscfqj@outlook.com>
 2026-06-19 14:59:50 +02:00
LocalAI [bot]
29dbba7a25 feat(ui): editorial overhaul ops/admin data-viz, sortable tables, mobile reflow, unsaved-changes guards (#10398) 
* feat(ui): legible Usage charts - distinct prompt/completion hues + chart a11y

Prompt and completion were the same color (primary at 0.35 opacity), so the
stacked token charts read as one blurry blob. Completion now uses a distinct
data-viz hue (--color-data-3) at full opacity across the time chart, the
per-model distribution bars, and the tooltip. The source-mix chart is no longer
aria-hidden: it exposes role="img" with a label.

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ui): sortable Users table

The admin Users table is now sortable by name, email, provider, role, status,
and created date - clickable headers with an aria-sort state, a direction
caret, and keyboard activation (Enter/Space). Permissions and Actions stay
non-sortable.

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ui): unsaved-changes guard on Settings and Agent create/edit

Add a reusable UnsavedChangesGuard (router useBlocker + beforeunload) that
prompts before navigating away or closing the tab with unsaved edits. Wired to
Settings (existing isDirty) and AgentCreate (snapshot the loaded form, compare;
suppressed while saving so the post-save redirect is not blocked). Adds the
common.unsaved i18n keys.

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ui): sortable Traces tables

Both trace tables are now sortable: the API table by method/path/status and the
backend table by type/time/model/duration, with aria-sort, a direction caret,
and keyboard activation. Sort and the expanded row reset when switching tabs
(the two tables have different columns).

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ui): responsive table reflow (cards on mobile), applied to Users

Dense admin tables sideways-scroll on phones. Add a reusable ResponsiveTable
that mirrors the <thead> labels onto each body cell (data-label) and a
<=640px stylesheet that stacks rows into label/value cards. Wired to both
Users tables; reusable for the other dense tables next.

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ui): roll responsive table reflow to Traces, Models, Manage, Nodes

Apply ResponsiveTable to the remaining dense tables so they stack into
label/value cards on phones instead of scrolling sideways. Harden the
component for these tables: scope label-mirroring and the card CSS to direct
children (nested detail tables render normally), override inline min-width on
mobile, and pass through table/container inline styles. Nested expansion
tables in Nodes/Models/Manage are intentionally left as-is.

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ui): unsaved-changes guard on the Fine-Tuning form

Editing the long fine-tune job form and navigating away silently discarded
everything. Snapshot the assembled getFormConfig() as a baseline, treat the
open form as dirty when it diverges, and reuse UnsavedChangesGuard to prompt
before leaving. The baseline is rebased after a job is submitted so leaving
afterward does not warn.

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
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>
 2026-06-19 00:56:17 +02:00
LocalAI [bot]
4ad754eea3 chore: ⬆️ Update ikawrakow/ik_llama.cpp to b3dfb7858cfcb9166e92f366e5af87f19ebc94be (#10395) 
⬆️ Update ikawrakow/ik_llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
 2026-06-19 00:03:37 +02:00
LocalAI [bot]
67692cb984 chore(model-gallery): ⬆️ update checksum (#10397) 
⬆️ Checksum updates in gallery/index.yaml

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
 2026-06-19 00:03:10 +02:00
LocalAI [bot]
f68edfc85f feat(ui): editorial UI/UX overhaul - design language, shell/nav, conversation/canvas, sub-menus (#10390) 
* feat(ui): add Fraunces variable serif + --font-serif token

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ui): serif display tier + section-heading typography scale

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ui): un-overload accent — nav rail, stronger focus ring, neutral hover

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ui): orchestrated page reveal + stagger motion primitives

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* refactor(ui): fix dead token refs + dedupe toggle to one primitive

Migrate all .toggle-slider consumers (Users, Chat, AgentChat) to the
canonical BEM toggle primitive and delete the legacy duplicate CSS block.

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* refactor(ui): route boot fallback through the LoadingSpinner primitive

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ui): EmptyState primitive with serif title

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ui): Skeleton shimmer primitive

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ui): PageHeader + SectionHeading editorial primitives

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ui): StatusPill primitive + time-of-day greeting helper

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ui): Home editorial header + status line (north-star redesign)

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ui): Home loaded-models skeleton list, button hierarchy, EmptyState wizard

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix(ui): single focus ring (no double-ring) + neutralize stagger delay under reduced motion

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]

* refactor(ui): all-sans editorial headings + tint-only active nav

Per design review, pivot the heading strategy from hybrid-serif to a
refined grotesk: drop the Fraunces dependency, token, and import; page
titles, the Home greeting, and section/empty-state titles now use Geist
at semibold with the editorial fluid sizing and tight tracking. No serif
anywhere.

Active sidebar item is now a tint-only treatment (accent text + tinted
background); the left accent rail is removed and the shared base
.nav-item.active inset bar is suppressed in the sidebar (as the console
rail already does). Update the design-system e2e specs to assert the
sans display font and the tinted-background active state.

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* test(e2e): add --host flag to ui-test-server

Allow binding the e2e/preview server to an arbitrary address (e.g.
0.0.0.0 to review the UI from another device on the LAN). Defaults to
127.0.0.1 so existing e2e behavior is unchanged.

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* refactor(ui): declutter Home - discoverable + dismissable API, vertical balance

Home felt overloaded and top-heavy. Three changes from review:
- The API endpoint catalog (12 endpoints) is collapsed by default behind a
  "Browse the API" disclosure; only the base URL + copy stay visible, so the
  catalog is discoverable without dominating the page.
- The whole connect card is dismissable (x): dismissing unmounts it so the
  vertical space is recovered, and the choice is remembered (localStorage).
- .home-page now fills its column and vertically centers its content when
  there is slack, so sparse states (no models / card dismissed) read as a
  balanced launcher instead of content jammed at the top. Overflow-safe:
  tall content flows from the top and scrolls.

Adds connect.browse / connect.hide / connect.dismiss i18n keys to all locales.

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ui): editorial PageHeader with section eyebrow + scroll-to-top on nav

PageHeader now derives its eyebrow from the route's section/console (Build /
Operate / Create) via sectionKeyForPath, so pages get a consistent, meaningful
eyebrow with no per-page wiring (override with the eyebrow prop, suppress with
eyebrow={null}). Settings adopts it as the first consumer.

Also fix a navigation scroll bug: the default layout uses the document as its
scroll container and route changes did not reset it, so navigating the console
rail from a scrolled page landed mid-view. App now scrolls to top on pathname
change.

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* refactor(ui): adopt PageHeader on agent/media/import/backend pages (batch A)

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]

* refactor(ui): adopt PageHeader on ops/admin/media pages (batch B)

Replace hand-rolled .page-header title blocks with the shared editorial
PageHeader component across 14 pages (Manage, Middleware, Models,
NodeBackendLogs, Nodes, P2P, SkillEdit, Skills, Sound, Traces, TTS, Usage,
Users, VideoGen). Title/subtitle move into PageHeader; header-own action
clusters (Models stats+buttons, Skills search+buttons) move into the actions
slot. Tabs, filters, stat cards, ResourceMonitor and page body stay as
siblings. Eyebrow is left to auto-derive from the route.

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* test(ui): home greeting asserts sans font, not the dropped serif

The greeting render-smoke still asserted Fraunces; update it to assert the
Geist sans display font (and not Fraunces), matching the all-sans direction.

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ui): ThemeToggle i18n + animated icon, drop transition:all

The theme toggle hard-coded its English tooltip; route it through the existing
nav switchToLightMode/switchToDarkMode keys and add an aria-label. The sun/moon
icon now replays a small rotate+fade on theme change (keyed remount; honored by
the global reduced-motion block). Replace the .theme-toggle `transition: all`
with explicit properties.

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ui): canvas drag-to-resize + slide-in, fix hooks order, typed download

Canvas was a fixed pane; make it a workbench:
- Drag the panel's left edge to resize (clamped 360px..75vw), persisted to
  localStorage, double-click to reset; hidden and full-width on narrow screens.
- Slide-in/fade on open via canvasSlideIn (honored by reduced-motion).
- Fix a rules-of-hooks bug: the `if (!current) return null` early return sat
  above useEffect, so the hook count changed when artifacts emptied. All hooks
  now run unconditionally before the guard.
- Downloads use the artifact language's real extension + MIME (a Python
  artifact saves as .py, not .txt) via extensionForLanguage.

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ui): per-message code blocks get a language header + copy button

Chat code blocks now render inside a framed block with a header showing the
language and a copy button (delegated handler, copies the block and flips to a
check briefly). Decoration + highlighting run from a MutationObserver scoped to
the messages container, which fires reliably for streamed responses AND for
chats loaded/switched from storage - the prior render-keyed effect missed the
load path (code was left unhighlighted on reload). The observer disconnects
while mutating so it does not retrigger on its own edits.

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ui): image attachments show a thumbnail in the composer

Staged image attachments now preview as a 28px thumbnail (from their data URL)
instead of a bare file icon; other types keep the icon. File names truncate and
the remove button gets an aria-label.

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ui): jump-to-latest pill when scrolled up in chat

When the user scrolls away from the bottom of a conversation, a floating
"Jump to latest" pill appears (sticky, centered above the composer); clicking
it smooth-scrolls to the newest message and re-pins auto-scroll. Resets on
chat switch. Adds the chat.actions.jumpToLatest i18n key to all locales.

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ui): canvas fullscreen toggle + keyboard tab navigation

The canvas header gains a fullscreen toggle (expands the panel to cover the
viewport; resize handle hidden while fullscreen). The artifact tab strip is now
a proper ARIA tablist with roving tabindex and Left/Right arrow-key navigation.

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ui): image result lightbox (zoom, prev/next, download, keyboard)

Generated/history images on the Image page are now clickable, opening a
fullscreen Lightbox with a download button, prev/next navigation, an N/M
counter, and keyboard control (Esc to close, Left/Right to navigate). Adds a
reusable `Lightbox` component (usable later for Video) and the media.image
.actions.view i18n key.

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ui): generation progress with placeholder tiles + elapsed timer

Image generation replaces the bare spinner with a GenerationProgress scaffold:
shimmer placeholder tiles matching the requested count plus a live elapsed-time
readout, so the (often slow) wait feels accountable. Reusable for the other
media generation pages.

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ui): generation progress on Video, TTS, and Sound pages

Reuse GenerationProgress (placeholder tile + elapsed timer) in place of the
bare spinner on the remaining media generation pages, so every slow generation
gives the same accountable feedback.

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ui): agent chat gets per-message code-copy + reliable highlighting

AgentChat now shares Chat's code-block treatment: it runs highlightAll +
enhanceCodeBlocks from a MutationObserver on its messages container (the same
proven path), so agent responses get language headers, copy buttons, and
highlighting that fires for both streamed and loaded messages - closing the
divergence with the main chat without a large refactor.

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ui): Talk voice visualizer

Add a hero frequency-bar visualizer at the top of the Talk page so users get
ambient feedback that they are heard and that the assistant is speaking - the
audit's main Talk gap (the only prior feedback was a small status pill; the
waveform was buried in the dev diagnostics panel).

VoiceVisualizer is self-contained: it builds its own AudioContext + analysers
from the output <audio> stream (speaking) and the mic stream (listening) so it
does not touch the existing WebRTC/diagnostics graph. Bars are status-tinted
(idle/connected/listening/speaking/error) and animate with a gentle idle wave
when not connected. Live mic/output animation is exercised on a real session.

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
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>
 2026-06-18 23:03:27 +02:00
Tai An
c3b3336654 fix(whisperx): use whisperx.diarize.DiarizationPipeline with token kwarg (#10389) 
Signed-off-by: Anai-Guo <antai12232931@outlook.com>
 2026-06-18 18:50:37 +02:00
LocalAI [bot]
c4cd86bb15 chore: bump localrecall to fix PostgreSQL collection name with ':' (#10375) (#10387) 
chore: bump localrecall to include PostgreSQL table-name sanitization fix

Pulls mudler/localrecall#48, which makes sanitizeTableName allowlist valid
identifier characters so collection names containing ':' (e.g. the per-user
"legacy-api-key:<agent>" namespace) no longer break PostgreSQL CREATE TABLE
with "syntax error at or near ':'".

Fixes #10375

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
 2026-06-18 17:05:52 +02:00
LocalAI [bot]
13f59f0822 docs: document the privacy-filter.cpp backend (#10386) 
docs: document the privacy-filter.cpp backend in README and compatibility table

The privacy-filter.cpp backend (#10360) was registered in backend/index.yaml
and referenced from the PII feature docs, but was missing from the backend
catalog surfaces. Add it to the README "Backends built by us" table, the
compatibility table (Utilities & Other, CPU/CUDA 13/Vulkan), and the backend
type list in the backends feature doc.

Assisted-by: Claude:claude-opus-4-8 [Claude Code]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
 2026-06-18 15:07:01 +02:00
Richard Palethorpe
3fa7b2955c feat(pii): NER tier engine — privacy-filter.cpp backend + NER-centric PII filter (#10360) 
Squashed feat/pii-ner-tier-engine rebased onto master (was 45 commits; see
backup/pii-ner-tier-engine-prerebase). Net change:

- privacy-filter.cpp: standalone GGML engine for the openai-privacy-filter
  PII/NER token classifier, wired as a LocalAI gRPC backend (CPU/CUDA/Vulkan).
  TokenClassify moves off the patched llama.cpp path onto this backend.
- PII filter reworked to be NER-centric (encoder/NER detection tier scanning
  whole conversations as one document), with a recreated bounded restricted-
  regex secret-matching pattern detector tier alongside it (per-model
  pii_detection.builtins / .patterns + core/services/routing/piipattern).
- Detection labelled by source (ner vs pattern); backend trace / confidence /
  debug observability; analyze/redact exposed as a synchronous API.
- Instance-wide default detector policy + per-usecase default-on; request
  filtering extended to completions, embeddings, edits & Ollama.
- React UI: NER-centric PII editor, detector-models table, pattern/builtins
  editor, middleware default-policy UI.
- Gallery: privacy-filter-multilingual token-classify model + NER install
  filter; token_classify known_usecase; batch sized to context for NER models.
  privacy-filter backend registered in the backend gallery (cpu/vulkan/cuda-13
  meta + image entries with a capabilities map) matching its CI matrix jobs,
  and an /import-model auto-detect importer (PrivacyFilterImporter, narrow
  privacy-filter GGUF detection) replacing the prior pref-only registration.

Reconciled against master's independent evolution:

- Dropped master's PIIPatternOverrides feature (global-pattern runtime
  overrides + /api/pii/patterns API + runtime_settings.json persistence). The
  per-model NER + pattern-detector design supersedes it; it was built on the
  global redactor pattern set this branch replaced.
- Reverted the llama.cpp Score carry-patch (0006-server-task-type-score):
  removed the patch and restored master's grpc-server.cpp Score RPC (direct
  llama_decode, slot-loop bypass) and LLAMA_VERSION pin, plus master's
  model_config validation forbidding score + chat/completion/embeddings on
  llama-cpp. token_classify is unaffected (it runs on the privacy-filter
  backend, not llama-cpp).

Assisted-by: Claude:claude-opus-4-8 [Claude Code]

Signed-off-by: Richard Palethorpe <io@richiejp.com>
 2026-06-18 11:45:22 +01:00