* 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]
* 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]
* 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]
* fix(voice-detect): replace em dashes in net-new descriptions
Project style forbids em/en dashes. Replace the three U+2014 chars
introduced by the voice-detect gallery/index wiring with `-`/`:`.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
* feat(face-detect): wire backend into index, gallery and build
Register the face-detect.cpp face detection / embedding / verification /
analysis backend (added in Face-INT-A) into LocalAI's distribution
surfaces, mirroring the voice-detect wiring (the closest mudler C++/ggml
recognition analogue):
- backend/index.yaml: add the &facedetect meta-backend (capabilities
platform map, no top-level uri to avoid the meta-backend gotcha) plus
the full set of concrete per-arch image entries (cpu/cuda12/cuda13/
metal/rocm/sycl-f16/sycl-f32/vulkan/l4t and the -development variants),
22 entries. Referential integrity audited: every alias target resolves.
- gallery/index.yaml: add 4 model entries on backend face-detect -
face-detect-buffalo-l/m/s (insightface SCRFD + ArcFace/MBF, NON-COMMERCIAL)
and face-detect-yunet-sface (OpenCV-Zoo YuNet + SFace, APACHE-2.0, the
commercial-friendly alternative). The detector/embedder architecture is
read from GGUF metadata (facedetect.arch) at load; only the real
verify_threshold option is set (0.35 buffalo, 0.363 sface). GGUF
artifacts are not yet published: each files: entry points at the
intended mudler/face-detect-gguf location with a TODO to fill sha256
after upload (no fabricated hashes).
- core/config/backend_capabilities.go: register face-detect in the
backend capability map (Embedding/Detect/FaceVerify/FaceAnalyze ->
face_recognition), mirroring insightface.
- .github/backend-matrix.yml: add the linux build matrix block + the
darwin metal entry mirroring voice-detect.
- .github/workflows/bump_deps.yaml: track mudler/face-detect.cpp via
FACEDETECT_VERSION (pin 636a1963).
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
* fix(recon): voice-detect metal build branch + face-detect gallery usecases
Add the missing metal BUILD_TYPE branch to the voice-detect Makefile
forwarding -DVOICEDETECT_GGML_METAL=ON, mirroring face-detect, so the
darwin metal CI artifact is built with the Metal backend instead of
CPU-only.
Expand the 4 face-detect gallery models' known_usecases to
[face_recognition, detection, embeddings] to match the backend
capabilities map and the mirrored insightface-buffalo entries, so
auto-selection for /v1/detect and /embeddings works.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
* docs(recon): document voice-detect and face-detect ggml backends
Document the new standalone C++/ggml biometric backends as the
recommended/default option for face and voice recognition, keeping the
existing Python insightface / speaker-recognition backends framed as the
legacy path.
- features/face-recognition.md: add a face-detect (ggml) backend section
with the gallery entries (buffalo-l/m/s non-commercial, yunet-sface
Apache-2.0), licensing, and verify/detect/analyze quickstart.
- features/voice-recognition.md: add a voice-detect (ggml) backend
section with the gallery entries (ecapa-tdnn, wespeaker-resnet34,
eres2net, campplus speaker recognizers; emotion-wav2vec2 non-commercial
analyze head) and quickstart.
- reference/compatibility-table.md: add face-detect.cpp and
voice-detect.cpp rows to the Vision, Detection & Recognition table.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
* chore(gallery): publish recon backend GGUF uris + sha256
Fill in the published HuggingFace GGUF uris and verified sha256 for the
9 recon gallery entries (voice-detect-* and face-detect-*), and remove
the TODO publish markers. Correct the eres2net, campplus, and
emotion-wav2vec2 uris to the actual published filenames.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
* feat(gallery): re-embed buffalo anti-spoof + add audeering age/gender voice model
Update the 3 buffalo face-detect GGUF sha256 (anti-spoof ensemble now
embedded and re-uploaded under the same filenames/uris) and note the
FaceVerify anti_spoof request flag in each description. Add a new
voice-detect-age-gender-wav2vec2 gallery entry mirroring the emotion
model.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
* feat(gallery): add face-detect-buffalo-sc and antelopev2 packs
Add gallery entries for two newly-published insightface face packs on
the face-detect backend: buffalo_sc (smallest pack, SCRFD-500M + small
ArcFace) and antelopev2 (higher-accuracy, SCRFD-10G + ArcFace glint360k
R100, 512-d). Both are non-commercial research-only.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
* feat(recon): honor LocalAI per-model threads in voice/face-detect backends
LocalAI spawns one backend process per model and serves requests
concurrently, so the engines' own min(hardware_concurrency, 8) default
can oversubscribe cores. Forward the per-model Threads value from the
gRPC LoadModel options into the engine via VOICEDETECT_THREADS /
FACEDETECT_THREADS (read at backend construction) before the capi load.
A non-positive Threads is treated as unset, leaving the engine default.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
* chore(recon): bump backend pins to CPU-optimized engine commits
voice-detect.cpp -> 0d9c1b3 (radix-2 FFT FBank, threads, flash attn + cached
pos-conv); face-detect.cpp -> 523aee1 (thread-gated direct conv, threads).
Brings the CPU optimizations into the LocalAI backend builds. GGUF format and
parity unchanged, so the published HF GGUFs remain valid.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
* chore(recon): bump backend pins to round-2 CPU-optimized engines
voice-detect.cpp -> fe7e6a3 (ERes2Net 1x1->mul_mat, CAM++ layout+context,
wav2vec2 conv-LN, ECAPA capture-drop, AVX512 dispatch opt-in); face-detect.cpp
-> 9c8adb7 (AVX2 Winograd F(2x2,3x3) for SCRFD/ArcFace 3x3 convs, ArcFace
BN-fold). Parity unchanged (cosine=1.0); GGUF format unchanged, HF GGUFs valid.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
* chore(recon): bump backend pins to round-3 Winograd engines
voice-detect.cpp -> 45122ec (Winograd F(2x2,3x3) for WeSpeaker/ERes2Net 3x3
convs, -22%/-20% @8t); face-detect.cpp -> cd5c962 (Winograd F(4x4,3x3) for
SCRFD large maps, -22% @1t on top of F(2x2), more load-stable). Parity held
(cosine=1.0); GGUF format unchanged, HF GGUFs valid.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
* chore(recon): bump backend pins to round-4 Winograd engines (CPU opt complete)
voice-detect.cpp -> d2839ca (CAM++ FCM 2D convs through Winograd, -15.5%/-10.3%);
face-detect.cpp -> c1db23d (AVX2-vectorized Winograd tile transforms, SCRFD
detect -14%/-9.6%). Final CPU optimization round; the conv-kernel lever class is
now exhausted (parity held cosine=1.0; GGUF/parity unchanged, HF GGUFs valid).
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
* chore(recon): bump face-detect pin to deep-kernel engine (7ae5c4d)
face-detect.cpp -> 7ae5c4d: register-blocked winograd-domain GEMM microkernel
(2.8x isolated GFLOP/s), AVX-512 zmm evolution behind runtime CPUID dispatch
(ship-safe, AVX2 fallback bit-identical), bias/relu fused into the winograd
output transform, and SFace Conv+BN fold + bias/PReLU fusion. SCRFD detect
~1.4x faster end-to-end vs the round-4 baseline; parity bit-exact; portable
single binary (function-multiversioned, no global -mavx512f).
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
* chore(recon): bump voice-detect pin to ECAPA operand-order win (e9c56ae)
voice-detect.cpp -> e9c56ae: weight-as-src0 mul_mat order in ECAPA's F32
conv1d_same (routes through tinyBLAS sgemm); ECAPA embed 1.67x @1t / ~1.3x @8t,
parity cosine=1.0. Isolated to encoder.cpp (ECAPA-only); ERes2Net/CAM++/WeSpeaker
do not call conv1d_same so are provably unaffected.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
* chore(recon): bump pins to FMA-throughput engines (voice f7b9f89, face 2d2d5f0)
face -> 2d2d5f0: route ArcFace 3x3 body convs through the AVX-512 winograd
microkernel (kWinoMinSize 80->14); ArcFace 1.62x @1t, SCRFD detect to 0.966 of
MLAS @1t, no regression. voice -> f7b9f89: runtime-CPUID-dispatched AVX-512
winograd-GEMM microkernel (ship-safe, AVX2 fallback bit-identical); WeSpeaker
1.90x @1t. Parity cosine=1.0 throughout; portable single binaries.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
* chore(recon): bump pins to MLAS-class direct-conv engines (voice 7ecfd07, face be22d67)
Hand-tuned nChw16c AVX-512 register-tiled direct-conv microkernel (~263 GFLOP/s,
within 6-7% of MLAS per-op efficiency), runtime-CPUID-dispatched + AVX2 fallback,
fused bias/relu. voice 7ecfd07: default 3x3-s1 kernel for WeSpeaker (+37%/+32%)
+ ERes2Net, CAM++ pinned to Winograd. face be22d67: shape-gated to the ArcFace
recognizer body (+25-27% @8t); SCRFD detector stays on Winograd (no regression).
Parity cosine=1.0 / detect <=1px on AVX-512 + AVX2 paths. Portable single binaries.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
* chore(recon): bump voice pin to Phase-A blocked backbone (f4e7eef)
WeSpeaker ResNet34 runs as one nChw16c blocked island (2 reorders/forward vs
~60) on AVX-512, default; per-conv directconv fallback on AVX2. +2.9% @1t /
+17-19% @8t vs per-conv directconv, parity cosine=1.0. The conv microkernel is
already FMA-bound near peak (~0.86-0.98x MLAS-implied); residual to MLAS is
sub-peak edge + non-conv tail, documented in docs/cpu-optimization.md.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
* chore(recon): bump pins to breadth blocked-backbone (voice 7f66871, face d80092b)
voice 7f66871: AVX2-vectorized (ymm) blocked island - AVX2-only hosts now run
the blocked backbone for WeSpeaker (2.3x over per-conv-AVX2, cosine=1.0);
ERes2Net stays per-conv (blocked regresses, opt-in only); CAM++ Winograd-pinned.
face d80092b: ArcFace recognizer blocked island, AVX-512 default (-13% @8t, ~0.90x
MLAS, the closest conv result), auto per-conv on AVX2; SCRFD untouched on Winograd
(0 island invocations during detect). Parity cosine=1.0 / detect <=1px throughout.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
* chore(recon): bump pins to small-spatial + stem conv kernels (voice 99b1804, face 47fdab6)
Measured-gap-driven conv kernels: small-spatial (fill the register tile when
output width <= tile width) + small-IC stem + strided-1x1/downsample recovery.
ArcFace recognizer 0.57 -> 0.70x MLAS @1t (the closest conv model), WeSpeaker
0.65 -> 0.79x @1t. Parity cosine=1.0 / detect <=1px. The OC-block-sharing lever
was a measured dead-end (deep stride-1 is L3-weight-bandwidth bound, not
read-port bound) and was NOT shipped. Kernel ceiling reached; further gap needs
an algorithm-class change (cache-blocked weight-stationary GEMM, or q8 weights).
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
* chore(recon): bump pins to GPU persistent-graph + multi-model-safe cache (voice 45d2e6b, face 0a4799a)
GPU wins (CUDA/ggml backend, no CPU-path change): persistent per-shape graph+context
cache in Backend::compute() eliminates the per-call cudaGraph re-instantiation churn
-> wav2vec2 emotion+age-gender now AT GPU parity with torch-cuDNN on GB10 (0.97-0.98x),
CAM++ -5.7ms; bit-identical parity. Cache hardened multi-model-safe (invalidate-on-free
keyed by the ModelLoader weights buffer) so LocalAI multi-model hosting cannot stale-hit.
Conv models still trail cuDNN (im2col-materialization-bound) - cuDNN implicit-GEMM lever next.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
* chore(recon): bump pins to cuDNN-conv-capable engines (voice b6e4356, face 6107a24)
Adds the opt-in cuDNN implicit-GEMM conv path (VOICEDETECT_GGML_CUDNN /
FACEDETECT_GGML_CUDNN, DEFAULT OFF -> zero build/runtime dep until enabled).
On GPU it kills the im2col-materialization bottleneck and reaches torch-cuDNN
parity on the spill-bound convs: SCRFD detect 14.8->6.4ms (2.3x, ~parity),
WeSpeaker ~parity, ERes2Net beats torch (1.10x); ArcFace/CAM++ neutral (no
spill). Parity exact (SCRFD <=1px, cosine=1.0). To USE it in LocalAI, the CUDA
backend build must enable the flag AND bundle libcudnn - deferred until a
cuDNN-bundled GPU image; flag stays OFF here.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
* feat(recon): enable cuDNN conv path on arm64+CUDA13 recon backends
The voice-detect.cpp / face-detect.cpp engines have an opt-in cuDNN
implicit-GEMM conv path behind VOICEDETECT_GGML_CUDNN / FACEDETECT_GGML_CUDNN
(default OFF) that kills im2col on the GPU and reaches torch-cuDNN parity
(SCRFD 2.3x, WeSpeaker/ERes2Net parity), measured on the GB10
(arm64, CUDA 13, sm_121a).
Enable it for the CUDA build, but only where cuDNN actually ships: the
arm64 + CUDA 13 image (GB10/Jetson/L4T). x86 CUDA images carry no cuDNN,
so flipping it on globally for BUILD_TYPE=cublas would be a link failure.
The Makefiles gate on CUDA_MAJOR_VERSION=13 + arch (TARGETARCH from the
matrix/Docker build, uname -m fallback for local builds).
backend/Dockerfile.golang already installs the runtime libcudnn9-cuda-13
in the arm64+CUDA13 apt block; add the matching libcudnn9-dev-cuda-13 so
the build-time link resolves.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
* chore(recon): bump voice-detect pin to ERes2Net blocked-default (30beecd)
Defaults VD_ERES2NET_BLOCKED ON: routes the ERes2Net Res2Net body through the
blocked nChw16c AVX-512 directconv island instead of the 1x1 mul_mat fast path
(CONT-transpose + skinny low-K GEMM). On the shipped GGML_NATIVE=OFF build (ggml
mul_mat is AVX2-only) this wins ~2x at every thread count (2.07x@1t, 2.2x@4t,
2.05x@8t); pure-AVX2 fallback still 1.3-1.62x. Parity exact (cosine=1.000000 vs
golden), so registered voices + verify/identify thresholds are unaffected. The
prior default-OFF rested on a stale comment whose 23pct regression only held on
the non-shipping GGML_NATIVE=ON build.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
* docs(readme): announce native voice-detect + face-detect backends in Latest News
Add a Latest News entry for the new from-scratch C++/ggml biometric backends
(voice-detect.cpp + face-detect.cpp) that replace the Python insightface and
speaker-recognition backends: no Python/onnxruntime at inference, self-contained
GGUF, bit-exact parity, GPU cuDNN parity. Mirrors the parakeet.cpp /
locate-anything.cpp native-backend news entries. Refs PR #10441.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
* chore(recon): re-pin to the squashed engine release commits
The voice-detect.cpp and face-detect.cpp histories were squashed to a single
release commit, which orphaned the previous pins (voice 30beecd, face 6107a24).
Re-pin to the new single-commit SHAs (voice 3d51077, face 06914b0); the tree is
identical, so the backend build is unchanged.
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>
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>
Bring the Backend & Model Compatibility Table up to the full set of
backends published in backend/index.yaml (60+), organized by modality
with per-backend acceleration targets. Add an "Available Backends"
pointer and expand the backend-type list in the backends feature doc.
Update the README backend count to 60+ and add a "Backends built by us"
section listing the native C/C++/GGML engines maintained by the LocalAI
project (parakeet.cpp, voxtral.c, vibevoice.cpp, rf-detr.cpp,
locate-anything.cpp, depth-anything.cpp, LocalVQE, local-store).
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>
* feat(omnivoice-cpp): add C wrapper + CMake/Makefile build over OmniVoice ov_* ABI
Assisted-by: claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(omnivoice-cpp): add option/language parsing + WAV framing helpers with tests
Assisted-by: claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(omnivoice-cpp): wire purego binding with TTS + streaming TTSStream
Assisted-by: claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* build(omnivoice-cpp): wire backend into root Makefile
Assisted-by: claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* ci(omnivoice-cpp): add build matrix entries + dep-bump registration
Assisted-by: claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(omnivoice-cpp): register backend meta + image entries
Assisted-by: claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(omnivoice-cpp): expose as preference-only importable backend
Assisted-by: claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(gallery): add omnivoice-cpp TTS models (Q8_0 default + BF16 HQ)
Assisted-by: claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* docs(omnivoice-cpp): document the OmniVoice TTS backend
Assisted-by: claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* test(omnivoice-cpp): add env-gated e2e for TTS + streaming
Assisted-by: claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(omnivoice-cpp): honor tts.audio_path/tts.voice config as default cloning reference
The model config tts.audio_path (ModelOptions.AudioPath) and tts.voice now
provide a default voice-cloning reference used when a request omits Voice, so a
cloned voice can be pinned in the model YAML instead of passed per request. A
per-request voice still overrides. Paths resolve relative to the model dir.
Assisted-by: claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix(omnivoice-cpp): add missing omnivoice-cpp-development backend meta
Mirrors the whisper/vibevoice convention: a -development meta aggregating the
master-tagged image variants (the production meta and per-variant prod+dev image
entries already existed; only the development meta aggregator was missing).
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>
Add an opt-in `local-ai chat` command for testing chat models directly from the terminal without manually sending curl requests.
The command connects to a running LocalAI server, lists available models through the existing OpenAI-compatible API, streams chat completions, and supports interactive commands such as `/models`, `/model`, `/clear`, and `/exit`.
Keep `local-ai run` focused on the server lifecycle so the web UI, API clients, and multiple chat terminals can coexist against the same server.
Document the new command and terminal workflow in the README and CLI docs.
Tests:
- go test -count=1 ./core/cli/chat
- go test -count=1 ./core/cli
Assisted-by: Codex:GPT-5
Signed-off-by: Ching Kao <0980124jim@gmail.com>
* docs: add 'how LocalAI works' architecture diagram
Add a blueprint-style architecture diagram: clients -> small core (API,
router, WebUI, agents) -> gRPC -> backend processes pulled on demand as
OCI images. Place it on the overview page and replace the stale external
architecture image on the reference page.
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* docs: add blueprint diagrams across feature, distributed & getting-started docs
Add 24 architecture/flow/comparison diagrams (PNG + HTML source) under
docs/static/images/diagrams/, wired into their docs pages, from an
impact-vs-effort audit of the docs. Broaden the API surface on the
overview architecture diagram (OpenAI, Anthropic, ElevenLabs, Ollama,
and LocalAI's own API) and move the gRPC boundary label clear of the arrows.
Pages: distributed mode (architecture, scheduling, ds4 layer-split),
distributed inferencing, MLX, realtime, quantization, MCP, agents,
mitm & cloud proxy, middleware, reverse-proxy TLS, VRAM, voice & face
recognition, reranker, function calling, fine-tuning (recipe + jobs),
diarization, audio transform, quickstart, model resolution.
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* docs: add composable-core diagram to README hero
Commit the composable-core card (small core + on-demand backend tiles)
alongside the other diagrams and reference it from the README hero via a
repo-relative path, so it renders on GitHub.
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* docs: fix composable-core connectors/badge and federated-vs-worker layout
- composable-core: thicken the plug-in connectors so they read clearly, and
widen the SEPARATE IMAGE badge so its text no longer overflows the box.
- federated-vs-worker: shorten the WHOLE/SPLIT REQUEST pills to fit, and
replace the tangled node-to-node activation arrows with a clean fan-out
(request split across all sharded nodes), mirroring the federated panel.
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>
Workers on NVIDIA unified-memory hardware (DGX Spark / GB10, Jetson AGX Thor,
Jetson Orin/Xavier/Nano) were reporting `available_vram=0` back to the frontend,
so the Nodes UI showed the node as fully used even when most of the unified
memory was actually free.
Three causes addressed:
* `isTegraDevice` only matched `/sys/devices/soc0/family == "Tegra"`. DGX Spark
(SBSA) reports JEDEC codes there instead — `jep106:0426` for the NVIDIA
manufacturer — so the Tegra/unified-memory fallback never ran. Renamed to
`isNVIDIAIntegratedGPU` and extended to also match `jep106:0426[:*]` via
`/sys/devices/soc0/soc_id`.
* The unified-iGPU code defaulted the device name to `"NVIDIA Jetson"` when
`/proc/device-tree/model` was missing. That's what happens for Thor inside a
docker container, and always on DGX Spark. New `nvidiaIntegratedGPUName`
resolves via dt-model → `/sys/devices/soc0/machine` → `soc_id` lookup
(`jep106:0426:8901` → `"NVIDIA GB10"`) so the Nodes UI labels the box
correctly.
* Worker heartbeat sent `available_vram=0` (or total-as-available) when VRAM
usage was momentarily unknown — e.g. when `nvidia-smi` intermittently failed
with `waitid: no child processes` under containers without `--init`. Each
such heartbeat overwrote the DB and made the UI flip to "fully used".
`heartbeatBody` now omits `available_vram` in that case so the DB keeps its
last good value.
Also updates the commented GPU blocks in both compose files with
`NVIDIA_DRIVER_CAPABILITIES=compute,utility`, `capabilities: [gpu, utility]`,
and `init: true`, and documents the requirement in the distributed-mode and
nvidia-l4t pages. Without `utility`, NVML/`nvidia-smi` are absent inside the
container, which is what put the DGX Spark worker into the buggy fallback in
the first place.
Detection verified on live hardware (dgx.casa / GB10 and 192.168.68.23 / Thor)
by running a cross-compiled probe of the new helpers on both host and inside
the worker container.
Assisted-by: Claude:opus-4.7 [Claude Code]
whisperx has no upstream AMD GPU support and its core transcription path
(faster-whisper -> ctranslate2) falls back to CPU on AMD since the PyPI
ctranslate2 is CUDA-only. The torch rocm wheels would accelerate only the
alignment/diarization stages, producing a misleadingly half-working image.
Drop the hipblas variant rather than shipping a partially accelerated build
users can't distinguish from the real thing. AMD hosts now fall through
the capability map to cpu-whisperx / cpu-whisperx-development.
Also removes the now-dangling rocm-whisperx assertion from
pkg/system/capabilities_test.go and the ROCm mention from the whisperx
row in docs/content/reference/compatibility-table.md.
Assisted-by: Claude Code:claude-opus-4-7
Align LocalAI with the Linux kernel project's policy for AI-assisted
contributions (https://docs.kernel.org/process/coding-assistants.html).
- Add .agents/ai-coding-assistants.md with the full policy adapted to
LocalAI's MIT license: no Signed-off-by or Co-Authored-By from AI,
attribute AI involvement via an Assisted-by: trailer, human submitter
owns the contribution.
- Surface the rules at the entry points: AGENTS.md (and its CLAUDE.md
symlink) and CONTRIBUTING.md.
- Publish a user-facing reference page at
docs/content/reference/ai-coding-assistants.md and link it from the
references index.
Assisted-by: Claude:claude-opus-4-7
openai-functions.md used to claim LocalAI tool calling worked only on
llama.cpp-compatible models. That was true when it was written; it's
not true now — vLLM (since PR #9328) and MLX/MLX-VLM both extract
structured tool calls from model output.
- openai-functions.md: new 'Supported backends' matrix covering
llama.cpp, vllm, vllm-omni, mlx, mlx-vlm, with the key distinction
that vllm needs an explicit tool_parser: option while mlx auto-
detects from the chat template. Reasoning content (think tags) is
extracted on the same set of backends. Added setup snippets for
both the vllm and mlx paths, and noted the gallery importer
pre-fills tool_parser:/reasoning_parser: for known families.
- compatibility-table.md: fix the stale 'Streaming: no' for vllm,
vllm-omni, mlx, mlx-vlm (all four support streaming now). Add
'Functions' to their capabilities. Also widen the MLX Acceleration
column to reflect the CPU/CUDA/Jetson L4T backends that already
exist in backend/index.yaml — 'Metal' on its own was misleading.
* always enable parallel requests
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat: add node reconciler, allow to schedule to group of nodes, min/max autoscaler
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* chore: move tests to ginkgo
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* chore(smart router): order by available vram
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@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>
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: 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>
* docs: Update model compatibility documentation with missing backends
Added the following backends to README.md and compatibility-table.md:
- vllm-omni: Multimodal vLLM with vision and audio support
- nemo: NVIDIA NeMo framework for speech models
- outetts: OuteTTS with voice cloning capabilities
- faster-qwen3-tts: Faster Qwen3 TTS implementation
- qwen-asr: Qwen automatic speech recognition
- voxcpm: VoxCPM speech understanding model
- whisperx: Enhanced Whisper with word-level transcription
These backends exist in the codebase (backend/index.yaml) but were missing
from the documentation. This update ensures accurate reflection of currently
supported backends in LocalAI.
* Apply suggestion from @mudler
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
---------
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
Co-authored-by: localai-bot <localai-bot@example.com>
Co-authored-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
* feat: add documentation for undocumented API endpoints
Creates comprehensive documentation for 8 previously undocumented endpoints:
- Voice Activity Detection (/v1/vad)
- Video Generation (/video)
- Sound Generation (/v1/sound-generation)
- Backend Monitor (/backend/monitor, /backend/shutdown)
- Token Metrics (/tokenMetrics)
- P2P endpoints (/api/p2p/* - 5 sub-endpoints)
- System Info (/system, /version)
Each documentation file includes HTTP method, request/response schemas,
curl examples, sample JSON responses, and error codes.
* docs: remove token-metrics endpoint documentation per review feedback
The token-metrics endpoint is not wired into the HTTP router and
should not be documented per reviewer request.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* docs: move system-info documentation to reference section
Per review feedback, system-info endpoint docs are better suited
for the reference section rather than features.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---------
Co-authored-by: localai-bot <localai-bot@noreply.github.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
docs: add comprehensive API error reference documentation
Document all error response formats (OpenAI, Anthropic, Open Responses),
HTTP status codes, per-endpoint error scenarios, and client error handling
examples based on actual error handling code in the codebase.
Signed-off-by: localai-bot <localai-bot@noreply.github.com>
Co-authored-by: localai-bot <localai-bot@noreply.github.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
exllama2 development has stalled and only old architectures are
supported. exllamav3 is still in development, meanwhile cleaning up
exllama2 from the gallery.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat: allow to set forcing backends eviction while requests are in flight
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat: try to make the request sit and retry if eviction couldn't be done
Otherwise calls that in order to pass would need to shutdown other
backends would just fail.
In this way instead we make the request sit and retry eviction until it
succeeds. The thresholds can be configured by the user.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* add tests
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* expose settings to CLI
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Update docs
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(loader): refactor single active backend support to LRU
This changeset introduces LRU management of loaded backends. Users can
set now a maximum number of models to be loaded concurrently, and, when
setting LocalAI in single active backend mode we set LRU to 1 for
backward compatibility.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* chore: add tests
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Update docs
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Fixups
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* More appropriate place for data storing
The /usr/share subtree in Linux is used for data that generally are not
supposed to change. Conventional places for changeable data are usually
located under /var, so /var/lib seems to be a reasonable default here.
* Data paths consistency fix
* Directory name consistency fix
* feat(ui): add watchdog settings
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Do not re-read env
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Some refactor, move other settings to runtime (p2p)
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Add API Keys handling
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Allow to disable runtime settings
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Documentation
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Small fixups
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* show MCP toggle in index
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Drop context default
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
