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62 Commits
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LocalAI [bot]
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de2ec2f136 |
feat(backends): add voice-detect + face-detect ggml backends (replace Python insightface/speaker-recognition) (#10441)
* 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> |
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LocalAI [bot]
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3a87d9e48f |
feat(vllm): macOS/Metal support via vllm-metal (MLX) (#10489)
* feat(vllm): macOS/Metal support via vllm-metal (MLX) Add an additive Apple-Silicon path to the existing vllm Python backend so vLLM runs on macOS via vllm-metal (github.com/vllm-project/vllm-metal). Spike outcome (proven on a real M4 / macOS 26.5, Qwen3-0.6B): - vllm-metal registers through vLLM's platform-plugin entry point (metal -> vllm_metal:register); MetalPlatform activates and runs on the GPU through MLX. - LocalAI's backend.py is UNCHANGED: AsyncEngineArgs(...) -> AsyncLLMEngine.from_engine_args transparently resolves to vLLM 0.23's v1 AsyncLLM MLX engine, and async generate produced correct output. - backend.py is NOT touched: its only empty_cache() call is CUDA-only (guarded by torch.cuda.is_available()), so the benign shutdown-only "Allocator for mps is not a DeviceAllocator" noise comes from vLLM's internal EngineCore teardown, not from our code. Changes (all gated behind a darwin condition; Linux/CUDA/ROCm/Intel paths are byte-for-byte unchanged): - install.sh: darwin branch forces PYTHON_VERSION=3.12 (vllm-metal requirement), creates/activates LocalAI's managed venv via ensureVenv, then reproduces vllm-metal's installer INTO that venv (build vLLM 0.23.0 from the release source tarball against requirements/cpu.txt, then install the prebuilt vllm-metal wheel from its latest GitHub release), and runs runProtogen. installRequirements is skipped on darwin. - backend-matrix.yml: add a vllm includeDarwin entry (mps, python). - index.yaml: add metal capability + concrete metal-vllm / metal-vllm-development child entries mirroring the metal-kitten-tts template. Version coupling: vllm-metal pins vLLM 0.23.0, equal to LocalAI's current vllm pin. Bumping vllm must be coordinated with a supporting vllm-metal release; documented in install.sh and requirements-cublas13-after.txt. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:opus-4.8 [Claude Code] * chore(vllm): track the darwin vllm-metal pin via the autobumper The Apple Silicon build pinned vLLM 0.23.0 as a hidden string in install.sh while floating the vllm-metal wheel on releases/latest - the two could drift apart silently. Make both a tracked, reproducible pair (VLLM_METAL_VERSION + VLLM_VERSION), fetch the wheel by tag, and add .github/bump_vllm_metal.sh wired into bump_deps.yaml. It tracks vllm-project/vllm-metal (not vllm/vllm latest), reading the coupled vLLM source version from vllm-metal's own installer, and opens a bump PR - mirroring the existing bump_vllm_wheel.sh for the cu130 wheel. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:opus-4.8 [Claude Code] * chore(vllm): derive the darwin vLLM version, drop the second pin Follow-up: VLLM_VERSION was still a hardcoded string duplicating what VLLM_METAL_VERSION already determines. Derive it at install time from vllm-metal's own installer (vllm_v=) at the pinned tag - one source of truth, no second value to drift. The bumper now touches only VLLM_METAL_VERSION; the derivation is immutable per tag, so builds stay reproducible. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:opus-4.8 [Claude Code] * fix(vllm): fetch the vllm-metal wheel without the GitHub API The darwin build resolved the wheel URL via api.github.com, whose unauthenticated rate limit (60/hr per IP) 403s on shared macOS runners (observed after the 9-min vLLM source build). Construct the release-asset download URL deterministically from the pinned tag and the cp312/arm64 wheel name instead - no API call, no rate limit. Verified the URL resolves (200). Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:opus-4.8 [Claude Code] * fix(vllm): fail Score cleanly when the engine returns no prompt_logprobs Audit of the Score path against vllm-metal (MLX on macOS): the engine accepts SamplingParams(prompt_logprobs=1) but returns an all-None prompt_logprobs list rather than computing it, so scoring is not supported there. The old guard treated the truthy [None] list as valid and silently scored every candidate as 0. Detect the all-None case and return UNIMPLEMENTED instead. No-op on Linux/CUDA, which populate real entries. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> 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> |
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dependabot[bot]
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10184b5e28 |
chore(deps): bump actions/checkout from 6 to 7 (#10451)
Bumps [actions/checkout](https://github.com/actions/checkout) from 6 to 7. - [Release notes](https://github.com/actions/checkout/releases) - [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md) - [Commits](https://github.com/actions/checkout/compare/v6...v7) --- updated-dependencies: - dependency-name: actions/checkout dependency-version: '7' dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> |
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LocalAI [bot]
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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> |
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Richard Palethorpe
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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> |
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LocalAI [bot]
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294170d3ed |
feat(backend): add depth-anything (Depth Anything 3) C++/ggml backend + gallery (#10352)
* feat(backend): add depth-anything (Depth Anything 3) C++/ggml backend + gallery Mirrors the locate-anything-cpp backend to register a new depth-anything backend that wraps the Depth Anything 3 ggml port (depth-anything.cpp) via purego (cgo-less, no Python at inference). - backend/go/depth-anything-cpp/: gRPC backend (Load + Predict + GenerateImage), purego binding to the da_capi_* C ABI, CMake/Makefile/run/package/test scripts building depth-anything.cpp's DA_SHARED static .so per CPU variant. - backend/index.yaml: depth-anything backend meta + all hardware-variant capability entries (cpu/cuda12/cuda13/intel-sycl-f32+f16/vulkan/nvidia-l4t). - gallery/index.yaml: 8 Depth Anything 3 GGUF models (base q4_k/q8_0/f16/f32, small, large, giant, mono-large). - .github/backend-matrix.yml: one build entry per hardware variant. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(depth): typed Depth RPC + REST endpoint exposing full DA3 data Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(depth): pin depth-anything.cpp to e0b6814 (ABI 3 dense C-API) The Depth RPC handler calls da_capi_depth_dense / da_capi_points (C-API ABI 3); pin the native build to the commit that exports them. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(depth): pin depth-anything.cpp to v0.1.0 release (b515c31) Repoint the native version from the now-orphaned e0b6814 to the b515c31 release commit, kept alive by the upstream v0.1.0 tag. C-API is unchanged (da_capi_abi_version == 3). Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(depth): wire depth-anything-cpp into build, CI bump, and importer The backend dir, gallery index, and CI build-matrix were present but the backend was never wired into the integration points that adding-backends.md requires: - root Makefile: add to .NOTPARALLEL, the test-extra chain, a BACKEND_* definition, the docker-build target eval, and docker-build-backends (mirrors parakeet-cpp; the backend's own Makefile already documented that its `test` target is driven by test-extra). - bump_deps.yaml: register the DEPTHANYTHING_VERSION pin so the daily auto-bump bot tracks mudler/depth-anything.cpp master (it cannot see an unregistered Makefile pin). - import form: add a preference-only KnownBackend entry so depth-anything is selectable at /import-model (mirrors sam3-cpp; no reliable GGUF auto-detect signal, so pref-only per the doc's default). changed-backends.js needs no entry: the generic golang suffix branch already resolves backend/go/depth-anything-cpp/. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(depth): auto-detect importer for depth-anything GGUFs Replace the preference-only entry with a real auto-detect importer (mirrors parakeet-cpp / locate-anything): - DepthAnythingImporter matches a .gguf whose name carries a depth-anything token (depth-anything-<size>-<quant>.gguf), so /import-model recognises mudler/depth-anything.cpp-gguf repos and direct GGUF URLs without an explicit backend preference. preferences.backend= "depth-anything" still forces it. - Registered before LlamaCPPImporter so its GGUF bundles aren't claimed by the generic .gguf importer; the narrow name match means it cannot claim arbitrary llama GGUFs or the upstream safetensors PyTorch repos. - Multi-quant repos pick the smallest quant by default (q4_k -> ... -> f32, depth stays >0.998 corr even at q4_k); quantizations preference overrides. - Drops the now-redundant knownPrefOnlyBackends entry (importer-backed backends are not listed there, matching parakeet-cpp). - Table-driven Ginkgo test covers detection, negative cases (llama GGUF, upstream safetensors), default/override/fallback quant pick, and direct URL import. 10/10 specs pass. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(depth): check conn.Close error in grpc Depth client (errcheck) The new Depth() client method used a bare `defer conn.Close()`. golangci-lint runs with new-from-merge-base, so although the 39 sibling methods use the same bare form (grandfathered), the newly added line trips errcheck. Drop the result explicitly to satisfy the linter. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-4-8 * fix(depth): bump depth-anything.cpp to v0.1.1 (embeddable CMake) v0.1.0 (b515c31) used ${CMAKE_SOURCE_DIR} for its include dirs, which points at the parent project when built via add_subdirectory() as this backend does, so the container build failed with missing stb_image.h / da_gguf_keys.h. v0.1.1 (2d42897) switches to project-relative paths. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-4-8 * fix(depth): resolve gosec findings in the backend wrapper The code-scanning gate flagged three new failure-level alerts in godepthanythingcpp.go (gosec runs with -no-fail; GitHub gates on new alerts): - G301: export dirs were created with 0o755. Tighten to 0o750 (no world access needed for backend-written export output). - G304: writeDepthPNG creates req.GetDst(). That path is chosen by the LocalAI core as the intended output destination (same pattern every image backend uses), not attacker input, so annotate with #nosec G304 and document why. The remaining G103 "audit unsafe" notes on the unsafe.Slice C-buffer copies are warning-level (the same purego interop whisper/parakeet use) and do not gate the check, per the supertonic exclusion precedent in secscan.yaml. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-4-8 * fix(depth): bump depth-anything.cpp to v0.1.2 (CUDA cross-build arch) v0.1.1 forced CMAKE_CUDA_ARCHITECTURES=native, which breaks the GPU-less l4t/cublas CI builds (nvcc "Unsupported gpu architecture 'compute_'" on CMake 3.22). v0.1.2 (442eea4) drops the override and lets ggml pick its default cross-build arch list. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> 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> |
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LocalAI [bot]
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40cc549882 |
fix(ci): track ServeurpersoCom/qwentts.cpp for QWEN3TTS_CPP_VERSION bumps (#10356)
The qwen3-tts backend migrated from predict-woo/qwen3-tts.cpp to ServeurpersoCom/qwentts.cpp (the Makefile QWEN3TTS_REPO already points there), but the bump_deps matrix still tracked the old repo. That made the nightly bumper open PRs (e.g. #10334) against the wrong upstream. Point the matrix entry at the new repo and its master branch. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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LocalAI [bot]
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0854932a25 |
feat(omnivoice-cpp): add OmniVoice TTS backend (file + streaming, voice cloning + voice design) (#10310)
* 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> |
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LocalAI [bot]
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56cc4f63fc |
feat(backend): locate-anything-cpp (open-vocabulary object detection via ggml) (#10264)
* feat(backend): add locate-anything-cpp backend (open-vocab detection via la_capi) A Go/purego backend wrapping locate-anything.cpp's la_capi C ABI, implementing the gRPC Detect RPC: image + open-vocabulary text prompt -> labeled boxes. Mirrors backend/go/rfdetr-cpp; static-links ggml into a per-CPU-variant .so. Assisted-by: Claude:claude-opus-4-8 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * ci(backend): register locate-anything-cpp in build matrix Assisted-by: Claude:claude-opus-4-8 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(gallery): locate-anything gallery entry + model importer Assisted-by: Claude:claude-opus-4-8 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * test(backend): locate-anything-cpp Load+Detect wire test Assisted-by: Claude:claude-opus-4-8 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(gallery): add locate-anything-3b model to the gallery index Assisted-by: Claude:claude-opus-4-8 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * ci(backend): register locate-anything.cpp in bump_deps auto-bump Assisted-by: Claude:claude-opus-4-8 [Claude Code] Signed-off-by: mudler <mudler@localai.io> * ci(test): e2e smoke for locate-anything-cpp in test-extra (loads the 3B + image, runs Detect) Assisted-by: Claude:claude-opus-4-8 [Claude Code] Signed-off-by: mudler <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Signed-off-by: mudler <mudler@localai.io> Co-authored-by: mudler <mudler@localai.io> |
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LocalAI [bot]
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76fe0bb929 |
feat(crispasr): add CrispASR backend — multi-architecture ASR + TTS (#10099)
* feat(crispasr): backend source files (Go gRPC server, C-ABI shim, build files) Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * polish(crispasr): brand error strings + fix stale shim comment Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * build(crispasr): register backend in root Makefile Mirror the whisper Go backend registration for the new crispasr backend: NOTPARALLEL entry, prepare-test-extra/test-extra hooks, BACKEND_CRISPASR definition, docker-build target generation, and the docker-build-backends aggregate target. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * ci(crispasr): add backend build matrix entries Mirror the 11 whisper golang Dockerfile matrix entries (CPU amd64/arm64, CUDA 12/13, L4T CUDA 13, Intel SYCL f32/f16, Vulkan amd64/arm64, L4T arm64, ROCm hipblas) with backend and tag-suffix substituted to crispasr. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(gallery): add crispasr backend gallery entries Add the crispasr meta anchor and its full set of image gallery entries (cpu, metal, cuda12/13, rocm, intel-sycl f32/f16, vulkan, L4T arm64, L4T cuda13 arm64, plus -development variants), mirroring the whisper backend gallery block. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * ci(crispasr): bump CRISPASR_VERSION via bump_deps workflow Track CrispStrobe/CrispASR main branch and bump CRISPASR_VERSION in backend/go/crispasr/Makefile. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * build(crispasr): don't wire fixture-gated test into test-extra Mirror the whisper Go backend: its AudioTranscription test is gated on model/audio fixtures and skips in CI, so building crispasr (the heaviest ggml compile in the tree) inside the unit-test lane adds a long compile for zero coverage. The backend image build in backend-matrix.yml remains the authoritative compile check. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * ci(crispasr): add darwin metal build entry (mirror whisper) The metal-crispasr gallery entries and capabilities.metal mapping reference -metal-darwin-arm64-crispasr, which is only produced by an includeDarwin entry. Mirror whisper's darwin metal entry so the tag actually gets built. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * ci(crispasr): place hipblas matrix entry next to whisper twin Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(crispasr): register crispasr as pref-only ASR backend + test Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * test(crispasr): port whisper behavioral suite (cancellation + streaming) Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * test(crispasr): fix skip message env var names to CRISPASR_* Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(crispasr): switch shim to crispasr_session_* multi-architecture API The shim used whisper_full(), which in CrispASR is the whisper-only path: libcrispasr only transcribes Whisper GGUFs through it. Multi-architecture transcription (Parakeet, Voxtral, Qwen3-ASR, Canary, Granite, FunASR, Paraformer, SenseVoice, ...) goes through the crispasr_session_* C-ABI, which auto-detects the architecture from the GGUF and dispatches to the matching backend. Rewrite the C shim around crispasr_session_open / _transcribe_lang / _result_* and add get_backend() so the selected backend is logged. load_model now takes a threads param (session_open binds n_threads at open). The session result is segment+word based with no token IDs and no per-decode callback, so drop n_tokens / get_token_id / get_segment_speaker_turn_next / set_new_segment_callback. set_abort is kept for API parity but is best-effort: the session transcribe is blocking with no abort hook. Update the purego bindings and gocrispasr.go to match: tokens are left empty, speaker-turn handling is removed, and AudioTranscriptionStream emits one delta per non-empty segment after the blocking decode returns (no progressive streaming via the session API), preserving the concat(deltas) == final.Text invariant. crispasr_session_set_translate is exported by libcrispasr but not declared in crispasr.h, so it is forward-declared in the shim alongside the open/transcribe/result functions. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * build(crispasr): link full CrispASR backend set for multi-arch support The shim's crispasr_session_* dispatch calls into the per-architecture backend libs (parakeet, voxtral, qwen3_asr, canary, funasr, paraformer, sensevoice, ...), which CrispASR builds as static archives. Linking only crispasr + ggml dead-stripped every backend object from the final module (nm backend-symbol count: 0), leaving a whisper-only .so. Link the same backend set as crispasr-cli so the static archives are pulled in. After this the module carries the backend symbols (nm count 407, .so grows from ~2.1MB to ~6.7MB) and the session API can dispatch to every compiled-in architecture. Also rewrite ${CMAKE_SOURCE_DIR}/examples/talk-llama to ${PROJECT_SOURCE_DIR}/... in the vendored src/CMakeLists.txt: CrispASR locates its vendored llama.cpp via ${CMAKE_SOURCE_DIR}, which is wrong when CrispASR is add_subdirectory'd (CMAKE_SOURCE_DIR points at this backend dir, not the CrispASR root). PROJECT_SOURCE_DIR is correct both standalone and as a subproject; the sed is idempotent. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * test(crispasr): adapt suite to session API (blocking, no decode callback) Register the new symbol set (drop the removed token/speaker/callback funcs, add get_backend; load_model now takes 2 args). The session transcribe is blocking with no abort hook, so a mid-decode cancel can't interrupt it: change the cancellation spec to cancel the context before the call and assert codes.Canceled from the pre-call ctx.Err() check, dropping the <5s mid-decode timing assertion. The streaming spec still holds with per-segment post-decode emission (>=2 deltas, concat(deltas) == final.Text). Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(gallery): add CrispASR ASR model entries (-crispasr) Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(gallery): keep only session-auto-detectable CrispASR ASR models The crispasr backend loads models via crispasr_session_open, which auto-detects the backend from the GGUF general.architecture using crispasr_detect_backend_from_gguf. Architectures not in that detect map cannot be opened, so those gallery entries fail to load. Removed entries whose architecture is not wired into CrispASR v0.6.11's session auto-detect router (they can be re-added when upstream maps them): - Not in the detect map: data2vec, firered-asr, funasr, fun-asr-mlt-nano, glm-asr, hubert, kyutai-stt, mega-asr, mimo-asr, moonshine{,-de,-streaming,-tiny-de}, omniasr{,-llm,-llm-1b}, paraformer, sensevoice. - Pending verification (filename-heuristic routed, not arch-detected): parakeet-ctc-0.6b, parakeet-ctc-1.1b. Their GGUFs are routed to the fastconformer-ctc backend by a filename heuristic in the model registry, which implies general.architecture is not a mapped string. Kept the parakeet rnnt/tdt_ctc variants: convert-parakeet-to-gguf.py writes general.architecture="parakeet" unconditionally and encodes the rnnt/ctc distinction in metadata fields, so they session-auto-detect. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(crispasr): TTS synthesis via crispasr_session_synthesize (24kHz) Add tts_synthesize/tts_free/tts_set_voice to the C-ABI shim. They reuse the already-open g_session (crispasr_session_open auto-detects a TTS model) and dispatch to the upstream synthesis call, which returns malloc'd 24 kHz mono float PCM. Orpheus needs a SNAC codec path that we do not set, so it returns NULL here and surfaces as an error Go-side. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(crispasr): implement TTS/TTSStream gRPC methods Bind the new shim functions via purego and implement TTS, TTSStream and a writeWAV24k helper. synthesize copies the C-owned PCM out before freeing it; TTS writes a 24 kHz mono 16-bit WAV to req.Dst via go-audio/wav. CrispASR has no progressive synth, so TTSStream synthesizes fully, encodes to WAV, and emits the bytes as a single chunk; it owns the results-channel close (the gRPC server wrapper ranges until close), mirroring vibevoice-cpp's TTSStream. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(crispasr): log when a TTS voice override is not honored Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(gallery): add CrispASR vibevoice-tts model entry Only vibevoice-tts works through the current shim: qwen3-tts, chatterbox, and orpheus require companion codec/s3gen/SNAC paths (set_codec_path / set_s3gen_path) that the shim doesn't wire yet, and kokoro/indextts/voxcpm2 aren't in the session auto-detect map. Those are follow-ups. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * test(crispasr): gated TTS synthesis spec Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(crispasr): satisfy golangci-lint (errcheck defers + unsafeptr nolint) The crispasr Go file is entirely new, so new-from-merge-base lints every line (unlike the grandfathered whisper backend it was forked from): - handle os.RemoveAll / fh.Close return values in AudioTranscription - annotate the two intentional C-pointer unsafe.Slice sites with //nolint:govet Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(crispasr): backend: and codec: model options (explicit arch + companion files) Add two model-config options to the CrispASR backend via opts.Options: - backend:<name> selects an explicit CrispASR backend (bypassing auto-detect) by routing load_model through crispasr_session_open_explicit, unlocking architectures the detector won't pick on its own (qwen3, cohere, granite, voxtral, moonshine, mimo-asr, orpheus, kokoro, chatterbox, etc.). - codec:<path> loads a companion file (qwen3-tts codec, orpheus SNAC, chatterbox s3gen, or mimo-asr tokenizer) via the universal crispasr_session_set_codec_path setter after the session opens. A relative path resolves against the model directory. rc==0 means success or not-applicable; only a negative rc is fatal. The C shim load_model gains a backend_name argument and a new set_codec_path entry point; the Go bridge parses the prefix:value options and registers the new symbol. The vad_only path is unchanged. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(gallery): expand CrispASR models via backend:/codec: options (explicit arch + companions) Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * refactor(gallery): use virtual.yaml base for crispasr models The crispasr entries are just backend + model + a couple options, fully expressed inline via overrides:/files: in gallery/index.yaml. Point each url: at the shared gallery/virtual.yaml (the established 'virtual' model trick) and drop the 36 redundant per-model gallery/*-crispasr.yaml files. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(gallery): drop voice-requiring TTS entries (keep vibevoice-tts) Real e2e showed qwen3-tts/orpheus/chatterbox don't synthesize through the current shim: the codec: companion loads fine, but these engines additionally need a voice pack / voice prompt / reference clip (qwen3-tts base errors 'no voice'; chatterbox is zero-shot cloning; orpheus uses named voices) that the backend doesn't wire. (qwen3-tts also can't auto-detect: its GGUF arch is 'qwen3tts', unmapped by the detector — would need backend:qwen3-tts.) Removed to avoid shipping non-working gallery entries; vibevoice-tts (built-in voice, e2e-verified) remains the working TTS. Voice-pack wiring is a follow-up. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(crispasr): speaker: and voice: TTS options (baked speakers + voice packs/prompts) speaker:<name> -> crispasr_session_set_speaker_name (baked speakers: qwen3-tts CustomVoice, orpheus). voice:<path>(+voice_text:<ref>) -> crispasr_session_set_voice (voice-pack GGUF, or WAV zero-shot clone with ref text). Applied at Load as the default voice; req.Voice still overrides the speaker per request. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(gallery): re-add e2e-verified TTS engines (chatterbox, qwen3-tts-customvoice, orpheus) 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> |
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LocalAI [bot]
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4912c9b73a |
feat(parakeet-cpp): add NVIDIA NeMo Parakeet ASR backend (parakeet.cpp) (#10084)
* feat(parakeet-cpp): L0 backend scaffold, LoadModel + AudioTranscription (text) Add a Go gRPC backend that bridges LocalAI to parakeet.cpp via the flat C-API (parakeet_capi.h), loaded with purego (cgo-less, mirrors the whisper / vibevoice-cpp backends). L0 scope: - main.go: dlopen libparakeet.so (override via PARAKEET_LIBRARY), register the C-API entry points, start the gRPC server. - goparakeetcpp.go: Load (parakeet_capi_load), AudioTranscription (parakeet_capi_transcribe_path, decoder=0 = per-arch default head), Free, serialized through base.SingleThread since the C engine is a thread-unsafe singleton. char* returns are bound as uintptr so the malloc'd buffer is freed via parakeet_capi_free_string after copy. - AudioTranscriptionStream returns a clear "not implemented in L0" error (closes the channel so the server doesn't hang), wired in L2. - Makefile: clone-at-pin + cmake (PARAKEET_VERSION for bump_deps.sh), with a local-symlink dev shortcut; run.sh / package.sh mirror whisper. - Test auto-skips without PARAKEET_BACKEND_TEST_MODEL/_WAV fixtures. Builds clean (CGO_ENABLED=0), gofmt clean, test passes. The single unsafeptr vet note in goStringFromCPtr is documented and matches the whisper backend's tolerated pattern. Word/segment timestamps (L1) and cache-aware streaming (L2) follow. Assisted-by: Claude:claude-opus-4-8 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(parakeet-cpp): L1 word/segment timestamps via transcribe_path_json AudioTranscription now calls parakeet_capi_transcribe_path_json and shapes the per-word / per-token timestamps into the TranscriptResult: - Bind parakeet_capi_transcribe_path_json (purego, char* as uintptr like the other returns) and register it in main.go + the test loader. - Parse the JSON document ({"text","words":[{w,start,end,conf}], "tokens":[{id,t,conf}]}) into typed structs. - Synthesise a single whole-clip segment (parakeet emits no native segment boundaries) spanning the first word start to the last word end; token ids populate Segment.Tokens. - Attach word-level timings only when timestamp_granularities=["word"], matching the OpenAI API (segment-level default). secondsToNanos mirrors the whisper backend's nanosecond convention. Verified end-to-end against tdt_ctc-110m (f16): both the default and word-granularity specs pass; builds clean, gofmt clean, vet shows only the one documented unsafeptr note shared with the whisper backend. Cache-aware streaming (L2) follows. Assisted-by: Claude:claude-opus-4-8 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(parakeet-cpp): L2 cache-aware streaming with EOU segmentation Wire AudioTranscriptionStream to the streaming RNN-T C-API: - Bind parakeet_capi_stream_{begin,feed,finalize,free}; feed takes 16 kHz mono float PCM ([]float32 via purego) and writes *eou_out on <EOU>/<EOB>. - Decode opts.Dst to 16 kHz mono PCM (utils.AudioToWav + go-audio, same as the whisper backend), feed it in 1 s chunks, and emit each newly-finalized text run as a TranscriptStreamResponse delta. - <EOU>/<EOB> events close the current segment; a closing FinalResult carries the full transcript plus the per-utterance segments (with a whole-clip fallback segment when no EOU fired). - stream_begin returns 0 for non-streaming models, surfaced as a clear error instead of an empty stream. Honours context cancellation between chunks. Frees every malloc'd delta and the session. Verified end-to-end against realtime_eou_120m-v1 (f16): the streamed transcript matches the offline 110m reference word-for-word, deltas reconstruct the final text, and the spec passes alongside the offline specs. Builds clean, gofmt clean, vet shows only the shared documented unsafeptr note. Assisted-by: Claude:claude-opus-4-8 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(parakeet-cpp): L3 register backend in build/CI/gallery (whisper parity) Wire the new Go gRPC parakeet-cpp backend (parakeet.cpp ggml port of NVIDIA NeMo Parakeet ASR) into LocalAI's build/CI/gallery surfaces, matching the existing ggml whisper Go backend 1:1. - .github/backend-matrix.yml: add 11 linux entries + 1 darwin entry mirroring every whisper build (cpu amd64/arm64, intel sycl f32/f16, vulkan amd64/arm64, nvidia cuda-12, nvidia cuda-13, nvidia-l4t-arm64, nvidia-l4t-cuda-13-arm64, rocm hipblas, metal-darwin-arm64), all on ./backend/Dockerfile.golang with backend: "parakeet-cpp" and -*-parakeet-cpp tag-suffixes. - scripts/changed-backends.js: explicit inferBackendPath branch resolving parakeet-cpp to backend/go/parakeet-cpp/ before the generic golang branch. - .github/workflows/bump_deps.yaml: track the PARAKEET_VERSION pin in backend/go/parakeet-cpp/Makefile (repo mudler/parakeet.cpp, branch master). - backend/index.yaml: add ¶keetcpp meta + latest/development image entries for every matrix tag-suffix. - Makefile: add backends/parakeet-cpp to .NOTPARALLEL, BACKEND_PARAKEET_CPP definition, docker-build target eval, and test-extra-backend-parakeet-cpp- transcription target (mirrors test-extra-backend-whisper-transcription). Assisted-by: Claude:claude-opus-4-8 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(parakeet-cpp): L4 gallery importer for parakeet GGUFs Add ParakeetCppImporter so parakeet.cpp GGUFs auto-detect on /import-model and route to the parakeet-cpp backend (it also surfaces in /backends/known, which drives the import dropdown). - Match is narrow: a .gguf whose name carries a parakeet architecture token (<arch>-<size>-<quant>.gguf, e.g. tdt_ctc-110m-f16.gguf, rnnt-0.6b-q4_k.gguf, realtime_eou_120m-v1-q8_0.gguf), a direct URL to one, or preferences.backend="parakeet-cpp". It deliberately does NOT claim arbitrary llama-style GGUFs, nor the upstream nvidia/parakeet-* NeMo repos (.nemo, not runnable here). - Registered in the ASR batch BEFORE LlamaCPPImporter so its GGUFs aren't swallowed by the generic .gguf importer. - Import nests files under parakeet-cpp/models/<name>/, defaults to the smallest quant (q4_k, near-lossless on parakeet) with a size-ladder fallback, and honours preferences.quantizations / name / description. Tested with synthetic HF details (no network): metadata, positive matches (HF repo, direct URL, preference), narrowness negatives (llama GGUF, NeMo repo), and import (default quant, override, direct URL), 9 specs pass, build/vet/gofmt clean. Assisted-by: Claude:claude-opus-4-8 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs(parakeet-cpp): document the parakeet-cpp transcription backend Add parakeet-cpp to the audio-to-text backend list and a dedicated usage section: direct GGUF import (auto-detects to the backend), model YAML, word-level timestamps via timestamp_granularities[]=word, and cache-aware streaming with the realtime_eou model. Points at the mudler/parakeet-cpp-gguf collection repo. Assisted-by: Claude:claude-opus-4-8 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * ci(parakeet-cpp): wire transcription gRPC e2e test into test-extra The L3 commit added the test-extra-backend-parakeet-cpp-transcription Makefile target but never invoked it in CI. Mirror the whisper job: - Add a parakeet-cpp output to detect-changes (emitted by changed-backends.js from the matrix entry). - Add tests-parakeet-cpp-grpc-transcription, gated on the parakeet-cpp path filter / run-all, building the backend image and running the transcription e2e against tdt_ctc-110m + the JFK clip. Assisted-by: Claude:claude-opus-4-8 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * style(parakeet-cpp): drop em dashes from comments and docs Replace em dashes with plain punctuation in the backend comments, the importer, package.sh, and the audio-to-text docs section (and use "and" instead of the multiplication sign). No behaviour change. Assisted-by: Claude:claude-opus-4-8 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(gallery): add parakeet-cpp f16 models to the model gallery Add the 10 NVIDIA Parakeet models (f16, the recommended quality/speed default) as gallery entries that install on the parakeet-cpp backend from mudler/parakeet-cpp-gguf: tdt_ctc-110m/1.1b, tdt-0.6b-v2/v3, tdt-1.1b, ctc-0.6b/1.1b, rnnt-0.6b/1.1b, and the cache-aware streaming realtime_eou_120m-v1. Each pins the file sha256 and routes transcript usecases to the backend. Assisted-by: Claude:claude-opus-4-8 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(parakeet-cpp): satisfy govet lint + bump PARAKEET_VERSION - goparakeetcpp.go: //nolint:govet on the C-owned-pointer unsafe.Pointer conversion (golangci-lint reports new-only issues, so unlike the whisper backend's identical line this one is flagged). - Makefile: bump PARAKEET_VERSION to the current parakeet.cpp master commit (the previous pin's commit no longer exists after upstream history was squashed), so the backend image clone/build resolves again. Assisted-by: Claude:claude-opus-4-8 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(parakeet-cpp): pin PARAKEET_VERSION to a tag-stable commit The previous SHA pin was orphaned when parakeet.cpp's single-commit master was amended/force-pushed, so the backend image clone (git fetch <sha>) failed across every build variant. Repoint to 845c29e, which upstream now keeps permanently fetchable via the `localai-backend-pin` tag, so future upstream amends no longer break the backend build. Assisted-by: Claude:claude-opus-4-8 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(parakeet-cpp): init the ggml submodule in the backend image clone The backend Dockerfile clones parakeet.cpp at PARAKEET_VERSION with a shallow fetch + checkout but never initialised submodules, so third_party/ggml was empty and the parakeet.cpp cmake build failed at `add_subdirectory(third_party/ggml)` (CMakeLists.txt:53) on every build variant. Add `git submodule update --init --recursive --depth 1 --single-branch` after checkout, mirroring the whisper backend. Verified locally: clone + submodule + cmake configure now succeeds. Assisted-by: Claude:claude-opus-4-8 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(parakeet-cpp): statically link ggml into libparakeet.so The shared libparakeet.so linked ggml's shared libs (libggml*.so), but the package only ships libparakeet.so, so at runtime dlopen failed with "libggml.so.0: cannot open shared object file" (the e2e transcription test panicked on load). Build ggml static + PIC (BUILD_SHARED_LIBS=OFF, CMAKE_POSITION_INDEPENDENT_CODE=ON) so libparakeet.so embeds ggml and depends only on system libs already present in the runtime image. Verified locally: ldd shows no libggml dependency. Assisted-by: Claude:claude-opus-4-8 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(parakeet-cpp): non-streaming fallback in AudioTranscriptionStream The e2e streaming test ran AudioTranscriptionStream against tdt_ctc-110m (not a cache-aware streaming model), so stream_begin returned 0 and the call errored. Per LocalAI's streaming contract (and the whisper backend), a non-streaming model should fall back to a single offline transcription emitted as one delta plus a closing FinalResult. Do that instead of erroring, so the streaming endpoint works for every parakeet model. Verified locally: the streaming spec passes against the non-streaming 110m model via fallback. 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> |
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LocalAI [bot]
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7a4ca8f60d |
feat(backend): rfdetr-cpp native object detection + segmentation backend (#10028)
Adds a Go native gRPC backend that dlopens librfdetrcpp.so (built from
mudler/rf-detr.cpp at the pinned RFDETR_VERSION) via purego and exposes
the rfdetr.cpp inference pipeline through LocalAI's existing Detect RPC.
Supports all 5 RF-DETR detection variants (Nano/Small/Base/Medium/Large)
and 6 segmentation variants (SegNano/SegSmall/SegMedium/SegLarge/
SegXLarge/Seg2XLarge) with F32/F16/Q8_0/Q4_K quantizations. Pre-built
GGUFs ship at mudler/rfdetr-cpp-* on HuggingFace.
Detection returns Bbox + class_name + confidence; segmentation also
returns PNG-encoded per-detection masks via the rfdetr_capi accessor
functions (rfdetr_capi_get_detection_{class_id,box,score,class_name,
mask_png}).
End-to-end verified through POST /v1/detection: HTTP -> gRPC -> purego
dlopen -> rfdetr.cpp -> ggml -> response (9 detections on the detection
model, 21 detections + valid PNG masks on the seg-nano model against
the kitchen fixture).
Wiring:
- backend/go/rfdetr-cpp/{main.go,gorfdetrcpp.go,CMakeLists.txt,
Makefile,run.sh,package.sh,test.sh,.gitignore}
- Top-level Makefile: BACKEND_RFDETR_CPP, docker-build target,
.NOTPARALLEL, prepare-test-extra, test-extra
- backend/go/rfdetr-cpp/Makefile: `test` target invoked by test-extra
- .github/backend-matrix.yml: CPU + CUDA-12/13 + L4T CUDA-12/13
(arm64) + HIP + Vulkan (amd64 + arm64) + SYCL f32/f16
- backend/index.yaml: rfdetr-cpp meta anchor + latest/development
image entries for every matrix tag-suffix
- .github/workflows/bump_deps.yaml: RFDETR_VERSION pin tracking
(mudler/rf-detr.cpp branch main)
- gallery/index.yaml: 11 rfdetr-cpp-* entries (nano + 4 detection
variants + 6 seg variants), all backed by mudler/rfdetr-cpp-*
on HuggingFace with sha256 pinning on the F16 default
- core/gallery/importers/rfdetr.go: GGUF auto-routing for HF imports
(mudler/rfdetr-cpp-* repos route to rfdetr-cpp, Transformer-format
repos stay on the Python rfdetr backend; explicit preferences.backend
overrides both heuristics)
- core/gallery/importers/rfdetr_test.go: table-driven coverage of the
auto-routing + a live mudler/rfdetr-cpp-nano cross-check
scripts/changed-backends.js needs no change: the existing
Dockerfile.golang -> backend/go/${item.backend}/ branch already routes
the 9 rfdetr-cpp matrix entries to the correct backend path.
Assisted-by: Claude:claude-opus-4-7 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
|
||
|
LocalAI [bot]
|
621c612b2d |
ci(bump-deps): register ds4 + move version pin into the Makefile (#9761)
* ci(bump-deps): register ds4 + move version pin into the Makefile The initial ds4 PR (#9758) put the upstream commit pin in backend/cpp/ds4/prepare.sh as a shell variable. The auto-bump bot at .github/bump_deps.sh greps for ^$VAR?= in a Makefile, so DS4_VERSION was invisible to it - other backends (llama-cpp, ik-llama-cpp, turboquant, voxtral, etc.) all pin in their Makefile. This change: - Moves DS4_VERSION?= and DS4_REPO?= to the top of backend/cpp/ds4/Makefile. - Inlines the git init/fetch/checkout recipe into the 'ds4:' target (matches llama-cpp's 'llama.cpp:' target pattern). Directory acts as the target so make only re-clones when missing. - Deletes the now-redundant prepare.sh. - Adds antirez/ds4 + DS4_VERSION + main + backend/cpp/ds4/Makefile to the .github/workflows/bump_deps.yaml matrix so the daily bot opens PRs against this pin. - Updates .agents/ds4-backend.md to point at the Makefile. Verified: $ grep -m1 '^DS4_VERSION?=' backend/cpp/ds4/Makefile DS4_VERSION?=ae302c2fa18cc6d9aefc021d0f27ae03c9ad2fc0 $ make -C backend/cpp/ds4 ds4 # clones into ds4/ at the pin $ make -C backend/cpp/ds4 ds4 # no-op on second invocation make: 'ds4' is up to date. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * ci: route backend/cpp/ds4/ changes through changed-backends.js scripts/changed-backends.js:inferBackendPath has an explicit branch per cpp dockerfile suffix (ik-llama-cpp, turboquant, llama-cpp). Without a matching branch the function returns null, the backend never lands in the path map, and PR change-detection cannot map "backend/cpp/ds4/X changed" -> "rebuild ds4 image". This is why PR #9761 produced zero ds4 jobs even though it directly edits backend/cpp/ds4/Makefile. Adds the missing branch (Dockerfile.ds4 -> backend/cpp/ds4/), placed before the llama-cpp branch (since both share the .cpp ancestry but ds4 is more specific - same ordering rule documented in .agents/adding-backends.md). Verified with a local Node simulation of the script against this PR's diff: the path map now contains 'ds4 -> backend/cpp/ds4/' and a 'backend/cpp/ds4/Makefile' change correctly triggers the ds4 backend in the rebuild set. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs(adding-backends): harden the two gotchas that bit ds4 Both omissions are silent at the time you ADD a backend - the failure mode only appears later (the bump bot stays silent forever, or the path filter shows up on the next PR that touches your backend with zero CI jobs and looks broken for unrelated reasons). Expanding the `scripts/changed-backends.js` paragraph from a one-liner to a fully worked example, and adding a new sibling paragraph for the `bump_deps.yaml` + Makefile-pin contract. Both call out the specific mistakes from the ds4 timeline (#9758 → #9761) so future contributors can pattern-match on the cause. 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> |
||
|
Ettore Di Giacinto
|
05d6383393 |
Change vibevoice.cpp repository reference
Updated repository reference for vibevoice.cpp in bump_deps.yaml. Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com> |
||
|
LocalAI [bot]
|
a8d7d37a3c |
fix: unbreak master CI (docs, kokoros, vibevoice-cpp ABI) (#9682)
* fix(docs): correct broken Hugo relrefs The Hugo build has been failing on master since the relevant pages landed: - text-generation.md:720 referenced `/docs/features/distributed-mode`, but Hugo `relref` paths are relative to the content root, not the rendered URL. Drop the `/docs/` prefix so the lookup matches the existing `features/...` form used elsewhere in the file. - audio-transform.md:144 referenced `tts.md`; the actual page is `text-to-audio.md`. Assisted-by: Claude:claude-opus-4-7[1m] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(kokoros): stub Diarize and AudioTransform Backend trait methods The recent backend.proto additions (Diarize, AudioTransform, AudioTransformStream) extended the gRPC Backend trait, breaking kokoros-grpc compilation with E0046 because the Rust implementation hadn't picked up the new methods. Add Unimplemented stubs matching the existing pattern for non-applicable RPCs in this TTS-only backend. Assisted-by: Claude:claude-opus-4-7[1m] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(vibevoice-cpp): track upstream ABI + wire 1.5B voice cloning Two recent commits in mudler/vibevoice.cpp reshaped the vv_capi_tts signature without a corresponding bump on the LocalAI side: 3bd759c "1.5b: unify into a single tts entry point" inserted a ref_audio_path parameter between voice_path and dst_wav_path. ad856bd "1.5b: multi-speaker dialog support" promoted that to a (const char* const* ref_audio_paths, int n_ref_audio_paths) pair for per-speaker conditioning. Because purego resolves symbols by name and not by signature, the build kept linking; at runtime the misaligned arguments turned the TTS->ASR closed-loop test into a SIGSEGV inside cgo. Track HEAD explicitly and bring the bridge in line with it: * Update the CppTTS purego binding to the 9-arg form. purego marshals []*byte as a **char by handing the C side the underlying array address; nil/empty maps to NULL, which matches the C contract for "no reference audio" on the realtime-0.5B path. * Add a `ref_audio` gallery option (comma-separated, repeatable) that the 1.5B path consumes for runtime voice cloning. Multiple entries are interpreted as one WAV per speaker (Speaker 0..n-1). * TTSRequest.Voice now routes by extension/shape: `.wav` or a comma-separated list goes to ref_audio_paths; anything else stays on voice_path (realtime-0.5B's pre-baked voice gguf). * Pin VIBEVOICE_CPP_VERSION to ad856bd and wire the Makefile into the existing bump_deps matrix so future upstream rolls land as reviewable PRs instead of a silent CI break. Assisted-by: Claude:claude-opus-4-7[1m] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * refactor(vibevoice-cpp): use ModelOptions.AudioPath for 1.5B ref audio Use the existing audio_path field from ModelOptions (already plumbed through config_file's `audio_path:` YAML and consumed by other audio backends like kokoros) instead of inventing a custom `ref_audio:` Options[] string. Multi-speaker setups stay on a single comma- separated value. No behavior change beyond the gallery key name; per-call routing via TTSRequest.Voice is unchanged. Assisted-by: Claude:claude-opus-4-7[1m] 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> |
||
|
Richard Palethorpe
|
4916f8c880 |
feat(vllm): expose AsyncEngineArgs via generic engine_args YAML map (#9563)
* feat(vllm): expose AsyncEngineArgs via generic engine_args YAML map
LocalAI's vLLM backend wraps a small typed subset of vLLM's
AsyncEngineArgs (quantization, tensor_parallel_size, dtype, etc.).
Anything outside that subset -- pipeline/data/expert parallelism,
speculative_config, kv_transfer_config, all2all_backend, prefix
caching, chunked prefill, etc. -- requires a new protobuf field, a
Go struct field, an options.go line, and a backend.py mapping per
feature. That cadence is the bottleneck on shipping vLLM's
production feature set.
Add a generic `engine_args:` map on the model YAML that is
JSON-serialised into a new ModelOptions.EngineArgs proto field and
applied verbatim to AsyncEngineArgs at LoadModel time. Validation
is done by the Python backend via dataclasses.fields(); unknown
keys fail with the closest valid name as a hint.
dataclasses.replace() is used so vLLM's __post_init__ re-runs and
auto-converts dict values into nested config dataclasses
(CompilationConfig, AttentionConfig, ...). speculative_config and
kv_transfer_config flow through as dicts; vLLM converts them at
engine init.
Operators can now write:
engine_args:
data_parallel_size: 8
enable_expert_parallel: true
all2all_backend: deepep_low_latency
speculative_config:
method: deepseek_mtp
num_speculative_tokens: 3
kv_cache_dtype: fp8
without further proto/Go/Python plumbing per field.
Production defaults seeded by hooks_vllm.go: enable_prefix_caching
and enable_chunked_prefill default to true unless explicitly set.
Existing typed YAML fields (gpu_memory_utilization,
tensor_parallel_size, etc.) remain for back-compat; engine_args
overrides them when both are set.
Assisted-by: Claude:claude-opus-4-7 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* chore(vllm): pin cublas13 to vLLM 0.20.0 cu130 wheel
vLLM's PyPI wheel is built against CUDA 12 (libcudart.so.12) and won't
load on a cu130 host. Switch the cublas13 build to vLLM's per-tag cu130
simple-index (https://wheels.vllm.ai/0.20.0/cu130/) and pin
vllm==0.20.0. The cu130-flavoured wheel ships libcudart.so.13 and
includes the DFlash speculative-decoding method that landed in 0.20.0.
cublas13 install gets --index-strategy=unsafe-best-match so uv consults
both the cu130 index and PyPI when resolving — PyPI also publishes
vllm==0.20.0, but with cu12 binaries that error at import time.
Verified: Qwen3.5-4B + z-lab/Qwen3.5-4B-DFlash loads and serves chat
completions on RTX 5070 Ti (sm_120, cu130).
Assisted-by: Claude:claude-opus-4-7 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* ci(vllm): bot job to bump cublas13 vLLM wheel pin
vLLM's cu130 wheel index URL is itself version-locked
(wheels.vllm.ai/<TAG>/cu130/, no /latest/ alias upstream), so a vLLM
bump means rewriting two values atomically — the URL segment and the
version constraint. bump_deps.sh handles git-sha-in-Makefile only;
add a sibling bump_vllm_wheel.sh and a matching workflow job that
mirrors the existing matrix's PR-creation pattern.
The bumper queries /releases/latest (which excludes prereleases),
strips the leading 'v', and seds both lines unconditionally. When the
file is already on the latest tag the rewrite is a no-op and
peter-evans/create-pull-request opens no PR.
Assisted-by: Claude:claude-opus-4-7 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* docs(vllm): document engine_args and speculative decoding
The new engine_args: map plumbs arbitrary AsyncEngineArgs through to
vLLM, but the public docs only covered the basic typed fields. Add a
short subsection in the vLLM section explaining the typed/generic
split and showing a worked DFlash speculative-decoding config, with
pointers to vLLM's SpeculativeConfig reference and z-lab's drafter
collection.
Assisted-by: Claude:claude-opus-4-7 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>
---------
Signed-off-by: Richard Palethorpe <io@richiejp.com>
Co-authored-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
|
||
|
Ettore Di Giacinto
|
95efb8a562 |
feat(backend): add turboquant llama.cpp-fork backend (#9355)
* feat(backend): add turboquant llama.cpp-fork backend
turboquant is a llama.cpp fork (TheTom/llama-cpp-turboquant, branch
feature/turboquant-kv-cache) that adds a TurboQuant KV-cache scheme.
It ships as a first-class backend reusing backend/cpp/llama-cpp sources
via a thin wrapper Makefile: each variant target copies ../llama-cpp
into a sibling build dir and invokes llama-cpp's build-llama-cpp-grpc-server
with LLAMA_REPO/LLAMA_VERSION overridden to point at the fork. No
duplication of grpc-server.cpp — upstream fixes flow through automatically.
Wires up the full matrix (CPU, CUDA 12/13, L4T, L4T-CUDA13, ROCm, SYCL
f32/f16, Vulkan) in backend.yml and the gallery entries in index.yaml,
adds a tests-turboquant-grpc e2e job driven by BACKEND_TEST_CACHE_TYPE_K/V=q8_0
to exercise the KV-cache config path (backend_test.go gains dedicated env
vars wired into ModelOptions.CacheTypeKey/Value — a generic improvement
usable by any llama.cpp-family backend), and registers a nightly auto-bump
PR in bump_deps.yaml tracking feature/turboquant-kv-cache.
scripts/changed-backends.js gets a special-case so edits to
backend/cpp/llama-cpp/ also retrigger the turboquant CI pipeline, since
the wrapper reuses those sources.
* feat(turboquant): carry upstream patches against fork API drift
turboquant branched from llama.cpp before upstream commit 66060008
("server: respect the ignore eos flag", #21203) which added the
`logit_bias_eog` field to `server_context_meta` and a matching
parameter to `server_task::params_from_json_cmpl`. The shared
backend/cpp/llama-cpp/grpc-server.cpp depends on that field, so
building it against the fork unmodified fails.
Cherry-pick that commit as a patch file under
backend/cpp/turboquant/patches/ and apply it to the cloned fork
sources via a new apply-patches.sh hook called from the wrapper
Makefile. Simplifies the build flow too: instead of hopping through
llama-cpp's build-llama-cpp-grpc-server indirection, the wrapper now
drives the copied Makefile directly (clone -> patch -> build).
Drop the corresponding patch whenever the fork catches up with
upstream — the build fails fast if a patch stops applying, which
is the signal to retire it.
* docs: add turboquant backend section + clarify cache_type_k/v
Document the new turboquant (llama.cpp fork with TurboQuant KV-cache)
backend alongside the existing llama-cpp / ik-llama-cpp sections in
features/text-generation.md: when to pick it, how to install it from
the gallery, and a YAML example showing backend: turboquant together
with cache_type_k / cache_type_v.
Also expand the cache_type_k / cache_type_v table rows in
advanced/model-configuration.md to spell out the accepted llama.cpp
quantization values and note that these fields apply to all
llama.cpp-family backends, not just vLLM.
* feat(turboquant): patch ggml-rpc GGML_OP_COUNT assertion
The fork adds new GGML ops bringing GGML_OP_COUNT to 97, but
ggml/include/ggml-rpc.h static-asserts it equals 96, breaking
the GGML_RPC=ON build paths (turboquant-grpc / turboquant-rpc-server).
Carry a one-line patch that updates the expected count so the
assertion holds. Drop this patch whenever the fork fixes it upstream.
* feat(turboquant): allow turbo* KV-cache types and exercise them in e2e
The shared backend/cpp/llama-cpp/grpc-server.cpp carries its own
allow-list of accepted KV-cache types (kv_cache_types[]) and rejects
anything outside it before the value reaches llama.cpp's parser. That
list only contains the standard llama.cpp types — turbo2/turbo3/turbo4
would throw "Unsupported cache type" at LoadModel time, meaning
nothing the LocalAI gRPC layer accepted was actually fork-specific.
Add a build-time augmentation step (patch-grpc-server.sh, called from
the turboquant wrapper Makefile) that inserts GGML_TYPE_TURBO2_0/3_0/4_0
into the allow-list of the *copied* grpc-server.cpp under
turboquant-<flavor>-build/. The original file under backend/cpp/llama-cpp/
is never touched, so the stock llama-cpp build keeps compiling against
vanilla upstream which has no notion of those enum values.
Switch test-extra-backend-turboquant to set
BACKEND_TEST_CACHE_TYPE_K=turbo3 / _V=turbo3 so the e2e gRPC suite
actually runs the fork's TurboQuant KV-cache code paths (turbo3 also
auto-enables flash_attention in the fork). Picking q8_0 here would
only re-test the standard llama.cpp path that the upstream llama-cpp
backend already covers.
Refresh the docs (text-generation.md + model-configuration.md) to
list turbo2/turbo3/turbo4 explicitly and call out that you only get
the TurboQuant code path with this backend + a turbo* cache type.
* fix(turboquant): rewrite patch-grpc-server.sh in awk, not python3
The builder image (ubuntu:24.04 stage-2 in Dockerfile.turboquant)
does not install python3, so the python-based augmentation step
errored with `python3: command not found` at make time. Switch to
awk, which ships in coreutils and is already available everywhere
the rest of the wrapper Makefile runs.
* 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>
|
||
|
Ettore Di Giacinto
|
9ca03cf9cc |
feat(backends): add ik-llama-cpp (#9326)
* feat(backends): add ik-llama-cpp Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * chore: add grpc e2e suite, hook to CI, update README Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Apply suggestion from @mudler Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com> * Apply suggestion from @mudler Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com> |
||
|
Ettore Di Giacinto
|
7a0e6ae6d2 |
feat(qwen3tts.cpp): add new backend (#9316)
Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
||
|
Ettore Di Giacinto
|
706cf5d43c |
feat(sam.cpp): add sam.cpp detection backend (#9288)
Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
||
|
Ettore Di Giacinto
|
a738f8b0e4 |
feat(backends): add ace-step.cpp (#8965)
Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
||
|
Ettore Di Giacinto
|
05f3ae31de |
chore: drop bark.cpp leftovers from pipelines (#8614)
Update bump_deps.yaml Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com> |
||
|
Ettore Di Giacinto
|
bf5a1dd840 |
feat(voxtral): add voxtral backend (#8451)
* feat(voxtral): add voxtral backend Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * simplify Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
||
|
Andres
|
efd552f83e |
fix(api)!: Stop model prior to deletion (#8422)
* Unload model prior to deletion Signed-off-by: Andres Smith <andressmithdev@pm.me> * Fix LFM model in gallery Signed-off-by: Andres Smith <andressmithdev@pm.me> * Remove mistakenly added files Signed-off-by: Andres Smith <andressmithdev@pm.me> --------- Signed-off-by: Andres Smith <andressmithdev@pm.me> |
||
|
dependabot[bot]
|
2ad928678c |
chore(deps): bump peter-evans/create-pull-request from 7 to 8 (#7586)
Bumps [peter-evans/create-pull-request](https://github.com/peter-evans/create-pull-request) from 7 to 8. - [Release notes](https://github.com/peter-evans/create-pull-request/releases) - [Commits](https://github.com/peter-evans/create-pull-request/compare/v7...v8) --- updated-dependencies: - dependency-name: peter-evans/create-pull-request dependency-version: '8' dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> |
||
|
dependabot[bot]
|
91248da09e |
chore(deps): bump actions/checkout from 5 to 6 (#7339)
Bumps [actions/checkout](https://github.com/actions/checkout) from 5 to 6. - [Release notes](https://github.com/actions/checkout/releases) - [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md) - [Commits](https://github.com/actions/checkout/compare/v5...v6) --- updated-dependencies: - dependency-name: actions/checkout dependency-version: '6' dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> |
||
|
Ettore Di Giacinto
|
fad5868f7b |
Rename job to 'bump-backends' in workflow
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com> |
||
|
dependabot[bot]
|
0ca1765c17 |
chore(deps): bump actions/checkout from 4 to 5 (#6014)
Bumps [actions/checkout](https://github.com/actions/checkout) from 4 to 5. - [Release notes](https://github.com/actions/checkout/releases) - [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md) - [Commits](https://github.com/actions/checkout/compare/v4...v5) --- updated-dependencies: - dependency-name: actions/checkout dependency-version: '5' dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> |
||
|
Richard Palethorpe
|
8fe9fa98f2 |
fix(stablediffusion-cpp): Switch back to upstream and update (#5880)
* sync(stablediffusion-cpp): Switch back to upstream and update Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(stablediffusion-ggml): NULL terminate options array to prevent segfault Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(build): Add BUILD_TYPE and BASE_IMAGE to all backends Signed-off-by: Richard Palethorpe <io@richiejp.com> --------- Signed-off-by: Richard Palethorpe <io@richiejp.com> |
||
|
Ettore Di Giacinto
|
b1fc5acd4a |
feat: split whisper from main binary (#5863)
* feat: split whisper from main binary Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Cleanup makefile Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Add backend builds (missing only darwin) Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Test CI Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Add whisper backend to test runs Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Fixups Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Make sure we have runtime libs Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Less grpc on the main Dockerfile Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fixups Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Fix hipblas build Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Add whisper to index Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Re-enable CI Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Adapt auto-bumper Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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Ettore Di Giacinto
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580687da46 |
feat: remove stablediffusion-ggml from main binary (#5861)
* feat: split stablediffusion-ggml from main binary Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Test CI Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Adapt ci tests Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Fixups Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Fixups Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Try to support nvidial4t Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Latest fixups Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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Ettore Di Giacinto
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b29544d747 |
feat: split piper from main binary (#5858)
Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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Ettore Di Giacinto
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294f7022f3 |
feat: do not bundle llama-cpp anymore (#5790)
* Build llama.cpp separately Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * WIP Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * WIP Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * WIP Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Start to try to attach some tests Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Add git and small fixups Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix: correctly autoload external backends Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Try to run AIO tests Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Slightly update the Makefile helps Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Adapt auto-bumper Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Try to run linux test Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Add llama-cpp into build pipelines Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Add default capability (for cpu) Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Drop llama-cpp specific logic from the backend loader Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * drop grpc install in ci for tests Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fixups Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Pass by backends path for tests Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Build protogen at start Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(tests): set backends path consistently Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Correctly configure the backends path Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Try to build for darwin Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * WIP Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Compile for metal on arm64/darwin Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Try to run build off from cross-arch Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Add to the backend index nvidia-l4t and cpu's llama-cpp backends Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Build also darwin-x86 for llama-cpp Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Disable arm64 builds temporary Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Test backend build on PR Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Fixup build backend reusable workflow Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * pass by skip drivers Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Use crane Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Skip drivers Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Fixups Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * x86 darwin Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Add packaging step for llama.cpp Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fixups Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Fix leftover from bark-cpp extraction Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Try to fix hipblas build Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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Ettore Di Giacinto
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dc21604741 |
chore(deps): bump whisper.cpp (#5338)
* chore(deps): bump whisper.cpp Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * add libggml-metal Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Fixups macOS arm64 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * adjust cublas for whisper.cpp Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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Ettore Di Giacinto
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c264ca542d |
fix(ci): update repository for llama.cpp
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com> |
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Ettore Di Giacinto
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44a5dac312 |
feat(backend): add stablediffusion-ggml (#4289)
* feat(backend): add stablediffusion-ggml Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * chore(ci): track stablediffusion-ggml Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fixups Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Use default scheduler and sampler if not specified Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fixups Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Move cfg scale out of diffusers block Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Make it working Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix: set free_params_immediately to false to call the model in sequence https://github.com/leejet/stable-diffusion.cpp/issues/366 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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Ettore Di Giacinto
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58ff47de26 |
feat(bark-cpp): add new bark.cpp backend (#4287)
* feat(bark-cpp): add new bark.cpp backend Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * build on linux only for now Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * track bark.cpp in CI bumps Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * Drop old entries from bumper Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * No need to test rwkv specifically, now part of llama.cpp Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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dependabot[bot]
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c5d5092347 |
chore(deps): Bump peter-evans/create-pull-request from 6 to 7 (#3518)
Bumps [peter-evans/create-pull-request](https://github.com/peter-evans/create-pull-request) from 6 to 7. - [Release notes](https://github.com/peter-evans/create-pull-request/releases) - [Commits](https://github.com/peter-evans/create-pull-request/compare/v6...v7) --- updated-dependencies: - dependency-name: peter-evans/create-pull-request dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> |
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Ettore Di Giacinto
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b3f362f229 |
ci: small fixes
Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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Ettore Di Giacinto
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e03363df3d |
ci: add commit id to title
Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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Ettore Di Giacinto
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d1a222ea87 |
ci: remove message file
Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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Ettore Di Giacinto
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c53196e197 |
ci: use var as placeholder
Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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Ettore Di Giacinto
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f9ddc31b77 |
ci(bump_deps): attempt to link also commit diff
Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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Ettore Di Giacinto
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6585ba2a9c |
ci: stop PRs for gpt4all.cpp
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com> |
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Ettore Di Giacinto
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9c0df648a6 |
ci: let the bot follow up convcommits style
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com> |
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Ettore Di Giacinto
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dcbdc12cc9 |
Update bump_deps.yaml
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com> |
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dependabot[bot]
|
821cf0e3fd |
build(deps): bump peter-evans/create-pull-request from 5 to 6 (#2005)
Bumps [peter-evans/create-pull-request](https://github.com/peter-evans/create-pull-request) from 5 to 6. - [Release notes](https://github.com/peter-evans/create-pull-request/releases) - [Commits](https://github.com/peter-evans/create-pull-request/compare/v5...v6) --- updated-dependencies: - dependency-name: peter-evans/create-pull-request dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> |
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renovate[bot]
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ef19268418 |
chore(deps): update actions/checkout action to v4 (#1006)
Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> |
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Ettore Di Giacinto
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128694213f |
feat: llama.cpp gRPC C++ backend (#1170)
* wip: llama.cpp c++ gRPC server Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * make it work, attach it to the build process Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * update deps Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix: add protobuf dep Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * try fix protobuf on cmake * cmake: workarounds Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * add packages * cmake: use fixed version of grpc Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * cmake(grpc): install locally * install grpc Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * install required deps for grpc on debian bullseye Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * debug * debug * Fixups * no need to install cmake manually Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * ci: fixup macOS * use brew whenever possible Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * macOS fixups * debug * fix container build Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * workaround * try mac https://stackoverflow.com/questions/23905661/on-mac-g-clang-fails-to-search-usr-local-include-and-usr-local-lib-by-def * Disable temp. arm64 docker image builds --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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Ettore Di Giacinto
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569c1d1163 |
feat: add rope settings and negative prompt, drop grammar backend (#797)
Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |