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13
Commits
| Author | SHA1 | Message | Date | |
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 Ettore Di Giacinto
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7467b51281 |
test(gallery): expect speaker_recognition on the bundles with a voice component
The parakeet-cpp backend now answers VoiceEmbed and VoiceVerify, so the pinning test asserts the usecase on the entries that declare it instead of its absence. Document voice_verify_threshold. Assisted-by: Claude Code:claude-sonnet-5-5 |
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Ettore Di Giacinto
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e9af44b90b |
docs(voice): document a parakeet-cpp bundle as the embedding model
Describe the bundle as an embedding model for /v1/voice/*, the realtime voice_recognition stage, and the limits: identify and plain verify only, a 256-dimension space shared with voice-detect-wespeaker-resnet34, and the libparakeet.so symbol it needs. Assisted-by: Claude Code:claude-sonnet-5-5 |
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Ettore Di Giacinto
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04df10a082 |
docs(voice): document speaker naming through a bundle component
Cover speaker_component: and speaker_tag: in the audio-to-text option tables and bundle section, add a section to the voice recognition page that explains which registered voices a bundle component receives, and update the speaker_name condition in the realtime and diarization pages. Assisted-by: Claude Code:claude-sonnet-5-5 |
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Ettore Di Giacinto
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a2c498359b |
fix(voice): keep one voice store per embedding dimension
The in-memory local-store rejects vectors of another size than the ones it holds. With 192-value voices registered, adding a 256-value voice failed, and identifying with a 256-value probe returned an error. The registry now keeps one store per embedding dimension. The first dimension seen uses the configured store name, so single-encoder instances are unchanged. Later dimensions use "<name>-<dim>". Identify searches only the store of the probe size and returns no match when no voice of that size exists. Forget finds the store from the stored embedding. A name may hold one voice per encoder. Assisted-by: Claude Code:claude-sonnet-5-5 golangci-lint |
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mudler-agentandEttore Di Giacinto
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79a7631cc5 |
feat(parakeet-cpp): encoder fingerprint for speaker naming, VAD trim and word filter options, pin bump (#12491)
* chore(parakeet-cpp): bump parakeet.cpp to 2de154c Brings in the speaker registry encoder fingerprint, the VAD segment trim and the opt-in word filter, a fix for a per-call thread count that stayed set on the process-wide backend after a Silero VAD pass, and bundle components loaded from memory. Assisted-by: Claude:claude-sonnet-5-5 [Claude Code] * feat(parakeet-cpp): encoder fingerprint for speaker naming, vad_trim and guard_* options Speaker naming. A registered voice now carries the encoder that made it: the embedding family (voicedetect:<arch>:<name>:<dim>) and the sha256 of the weights. The backend reports the family of the loaded speaker model in Status, voice enrollment from speaker_profiles stores it as encoder_family (old entries load without it), and the registry sent to parakeet.cpp is built with parakeet_capi_speaker_registry_add_embedding_fp. The library then refuses a registry of another encoder family and the error names both families; another quantization of the same family only warns. A voice with only a weights hash gets the loaded family when the hashes are equal. Voices without a fingerprint (registered from audio: libvoicedetect cannot report one) keep the file-name rule and are used with a warning. The library cannot mix them with fingerprinted voices in one registry, so a request that has any uses the old registry for all. speaker_strict:true drops them instead. A library without the symbols behaves as before. Transcription. vad_trim (seconds, 0 keeps the whole cuts) goes through the VAD options JSON, so it reaches /v1/vad and the segmenter. The guard_* options guard_min_local_conf, guard_local_radius and guard_drop_punct_only turn on the word filter through parakeet_capi_transcribe_path_json_with, or through the segmenter with vad:true. They are off by default, bad values fail the load, and a library without the symbol fails it with a clear message. The dropped word count is logged at debug level. Assisted-by: Claude:claude-sonnet-5-5 [Claude Code] --------- Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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mudler-agentandEttore Di Giacinto
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9eb5a9e61d |
feat(audio): remember speakers from diarization (#12414)
* feat(schema): validate portable speaker profiles Add the versioned profile schema for explicit speaker enrollment. Validate compatibility against separately supplied loaded-encoder metadata. Reject unusable speakers, invalid vectors, and inconsistent clean spans. This slice does not change HTTP routes, backend integration, or the UI. Assisted-by: OpenAI:unknown Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(parakeet): export profiles with transcripts Export opt-in speaker profiles and trusted encoder metadata. Replay registrations by ID so duplicate display names keep independent vectors. Use one profile-capable diarization for slots, names, and clean spans. Assign timestamped ASR words to those slots without a second diarization. Preserve legacy opt-out and no-ASR behavior, and propagate failures. Assisted-by: OpenAI:unknown Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(audio): enroll portable speaker profiles Gate profile exports with voice-recognition permission and validate registration against metadata from the loaded encoder. Preserve audio enrollment and independent registrations with duplicate display names. Exclude diarization and registration exchanges before API trace capture so persisted traces cannot retain profile vectors or JSON audio. Defer candidate dimensions to trusted loaded metadata. Sort candidates by registration ID so incompatible profiles cannot suppress legacy voices through registry iteration order. Keep portable identity checks closed when trusted metadata is unavailable. Test persisted traces, explicit slot zero, and selection through offline and live transport. Document privacy and the ephemeral registry lifecycle. Assisted-by: OpenAI:unknown Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(ui): remember speakers from diarization Add a Studio page for diarization and opt-in speaker profiles. Preview clean intervals from the original recording before explicit registration. Join profiles by raw speaker labels, preserve duplicate names, and relabel turns only after a successful save. Discard stale results when the model or recording changes. Share registration metadata with voice management without storing vectors or recordings from this flow. Document permissions and the global, ephemeral registry. Cover enrollment, permissions, previews, and asynchronous races with mocked Playwright tests. Assisted-by: OpenAI:unknown Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: clarify HTTP speaker enrollment support Replace the stale enrollment limitation with the current HTTP workflow. Distinguish native transport from explicit registration and link its docs. Assisted-by: OpenAI:unknown Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * chore(parakeet): pin merged speaker profile support Use the merged commit from mudler/parakeet.cpp#80. Its tree matches the previously accepted native pin. Assisted-by: OpenAI:unknown Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: add diarization enrollment setup example Connect the existing gallery modes to the speaker enrollment workflow. Show installation, private profile export, explicit raw-slot registration, and later recognition without another export. Assisted-by: OpenAI:unknown Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs(blog): explain diarization speaker profiles Put the diarization walkthrough on the LocalAI website in the feature PR. Cover the three gallery modes, explicit enrollment, and privacy limits. Link setup instructions and keep availability conditional on feature support. Assisted-by: OpenAI:unknown Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs(blog): focus diarization on everyday use Explain what users can do with recordings before the setup steps. Replace the technical walkthrough with a short Studio guide and link readers to the existing reference for model names and developer use. Assisted-by: OpenAI:unknown Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs(blog): lead with speaker capabilities Present speaker recognition through everyday uses and a short UI flow. Keep technical reference details in the existing documentation. Assisted-by: OpenAI:unknown Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(diarization): satisfy Go lint checks Avoid copying protobuf message state when extending backend status, check the multipart reader close result, and document the focused testing.T lint exemptions. Assisted-by: nib:gpt-5.6-sol 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-org-maint-botandEttore Di Giacinto
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2ae6cae70d |
feat(parakeet-cpp): name speakers from the shared voice registry (#12382)
* feat(voice): list registered voices and record which encoder made them The voice registry could register, identify and forget but not list, and it did not remember which speaker encoder produced an embedding. Add Metadata.Model and Registry.List, answered from the index the store registry already keeps for Forget. Needed so a backend can be given the registered voices that match its own speaker encoder. Assisted-by: Claude:claude-sonnet-5-5 [Claude Code] * feat(voice): store the encoder model with a registered voice Assisted-by: Claude:claude-sonnet-5-5 [Claude Code] * feat(voice): pick the registered voices that match a speaker model Assisted-by: Claude:claude-sonnet-5-5 [Claude Code] * feat(proto): carry known voices and speaker names on diarize and live messages Assisted-by: Claude:claude-haiku-4-5 [Claude Code] * feat(diarization): name speakers from the voice registry When a diarization model has a speaker_model option, the endpoint sends the registered voices made by that encoder to the backend. The backend's name and name_score come back as extra fields next to the normalized SPEAKER_NN speaker, and the speakers summary carries the first name seen for each speaker. RTTM output and results without names are unchanged. Assisted-by: Claude:claude-sonnet-5-5 [Claude Code] * feat(live): pass registered voices to a live session and surface speaker names Live sessions now send the registered voices that match the model's speaker_model to the backend, and each speaker segment carries the name the backend matched. The realtime segment event gains an optional speaker_name field. Assisted-by: Claude:claude-sonnet-5-5 [Claude Code] * feat(parakeet-cpp): load a speaker model and build per-request voice registries Adds the speaker bindings (ABI v9 and v10, probed separately), the speaker_model, speaker_threshold and speaker_margin options, and a per-request registry builder over the known voices. Assisted-by: Claude:claude-sonnet-5-5 [Claude Code] * feat(parakeet-cpp): name the speakers in Diarize from the known voices Diarize builds a per-request speaker registry from the known voices when a speaker model is loaded, calls the named C functions, and puts each slot's registered name and score on the segments. The registry is freed on every path. A library without ABI 10 reports Unimplemented instead of dropping the names. Assisted-by: Claude:claude-sonnet-5-5 [Claude Code] * feat(parakeet-cpp): name speakers in the live scene stream The live scene stream now begins with a known-voice registry when a speaker model is loaded and the live config carries voices, and each closed speaker segment takes its slot's current name from the feed's names map. A segment that closes before its slot is identified has an empty name. The registry is freed after the stream, on every path. Assisted-by: Claude:claude-sonnet-5-5 [Claude Code] * feat(gallery): speaker naming entries and docs for parakeet-cpp Add three gallery entries that load the WeSpeaker ResNet34 speaker model next to the diarization or realtime scene models, and document speaker names in the voice recognition, diarization, audio to text and realtime pages. Assisted-by: Claude:claude-sonnet-5-5 [Claude Code] * fix(parakeet-cpp): skip an unusable registered voice instead of failing the request A registered voice with the wrong embedding size, or one the C side refused, failed the whole diarization request, so one legacy voice broke the model for every user. Skip such voices with a warning that does not carry the voice name, and take the plain path when none is left. Also map an exact 0 speaker threshold or margin to a tiny positive value, since the C side reads 0 as "use the default", and fix a stale comment about which contexts Free() walks. Assisted-by: Claude:claude-sonnet-5-5 [Claude Code] * fix(diarization): warn once per model about voices from another encoder; document the privacy limit The different-encoder warning fired on every request. Log it once per feature and speaker model, then at debug level. Document that the global voice registry lets any caller of a speaker_model model learn matching names, and that skipped wrong-sized voices are logged. Assisted-by: Claude:claude-sonnet-5-5 [Claude Code] * chore(parakeet-cpp): bump parakeet.cpp to 8c8cec0 (C-API v10) and check speaker naming against the real library The pin moves from 623a968 to 8c8cec0, which brings in everything merged in parakeet.cpp since: the voice identification change (C-API v9, #78) and raw-embedding enroll plus diarize-only speaker naming (C-API v10, #79). New real-library specs (gated on PARAKEET_BACKEND_TEST_SPEAKER_MODEL, _DIAR_MODEL, _WAV and, for the live path, _STREAM_MODEL) name the two speakers of two_speakers.wav from a committed pair of WeSpeaker embeddings, with the voices passed in reversed order. They also check that the float32 threshold reaches C through purego. The shared test loader now registers the v9/v10 and scene symbols as main.go does. The rebase onto origin/master had no conflicts. Assisted-by: Claude:claude-sonnet-5-5 [Claude Code] --------- Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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localai-org-maint-botandlocalai-org-maint-bot
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1e0baec2a7 |
fix(ci): repair nightly backend dep bumps for renamed localai-org repos (#11012)
The "Bump Backend dependencies" workflow has failed every night for over ten days. Four upstreams — ced.cpp, moss-transcribe.cpp, voice-detect.cpp and rf-detr.cpp — moved from the mudler org to localai-org, so the GitHub API answers 301 for the old slugs. ced.cpp additionally renamed its default branch to main. bump_deps.sh fetched without -L or -f and never checked the response, so the redirect's JSON body was passed straight to sed, which died with "unterminated `s' command". The loud failure was luck: an error body without slashes would have been substituted into the Makefile as the new pin, silently corrupting the version and shipping it in a bump PR. Point the matrix at the new slugs and branch, and harden the script so a bad response can never reach sed: follow redirects, fail on HTTP errors, and require a bare 40-hex SHA before rewriting anything. Also refresh the now-stale repository URLs in the backend Makefiles, test scripts, backend/index.yaml and the docs. Verified all 25 matrix entries resolve to a commit SHA and that the four previously-failing jobs run end to end against the real API. Assisted-by: Claude:claude-opus-4-8 [Claude Code] Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com> |
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mudler's LocalAI [bot]andEttore Di Giacinto
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40d35c0385 |
docs: onboarding overhaul, dedup, and error docs (#7711) (#10895)
* docs: fix CPU image tag (latest, not latest-cpu) Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: use canonical localai/localai registry in models guide Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: replace dead llama-stable backend with llama-cpp Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: correct mitm-proxy intercept config and redaction tier Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: fix text-to-audio endpoint and broken notice block Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: fix VAD example, stale FAQ, broken link, CLI list, whats-new dump Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: render advanced/reference section indexes (consolidate _index) Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: remove duplicate getting-started build/kubernetes pages Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: fold container image reference into installation/containers Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: remove stale advanced fine-tuning page (superseded by features/fine-tuning) Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: fold distribution/longcat/sound pages into their parents Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: make getting-started index accurate and complete Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: carry one concrete model through the getting-started path Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: add end-to-end 'build your first agent' walkthrough Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: add runtime errors reference; consolidate troubleshooting from FAQ Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: add agent actions catalog Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: agent-scoped MCP, skills walkthrough, agentic disambiguation Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: add concrete gallery install lines to media feature pages Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: merge installation into getting-started (URLs preserved via aliases) Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: add Operations section; move operator pages and P2P API reference Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: journey-ordered top nav and grouped feature sections Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: add docs-with-code process gate (PR template + agent instructions) Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: remove em/en dashes from documentation prose 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]andEttore Di Giacinto
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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]andEttore Di Giacinto
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7e59a5c7c5 |
docs: architecture & feature diagrams (blueprint style) (#10137)
* docs: add 'how LocalAI works' architecture diagram Add a blueprint-style architecture diagram: clients -> small core (API, router, WebUI, agents) -> gRPC -> backend processes pulled on demand as OCI images. Place it on the overview page and replace the stale external architecture image on the reference page. Assisted-by: Claude:claude-opus-4-8 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: add blueprint diagrams across feature, distributed & getting-started docs Add 24 architecture/flow/comparison diagrams (PNG + HTML source) under docs/static/images/diagrams/, wired into their docs pages, from an impact-vs-effort audit of the docs. Broaden the API surface on the overview architecture diagram (OpenAI, Anthropic, ElevenLabs, Ollama, and LocalAI's own API) and move the gRPC boundary label clear of the arrows. Pages: distributed mode (architecture, scheduling, ds4 layer-split), distributed inferencing, MLX, realtime, quantization, MCP, agents, mitm & cloud proxy, middleware, reverse-proxy TLS, VRAM, voice & face recognition, reranker, function calling, fine-tuning (recipe + jobs), diarization, audio transform, quickstart, model resolution. Assisted-by: Claude:claude-opus-4-8 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: add composable-core diagram to README hero Commit the composable-core card (small core + on-demand backend tiles) alongside the other diagrams and reference it from the README hero via a repo-relative path, so it renders on GitHub. Assisted-by: Claude:claude-opus-4-8 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: fix composable-core connectors/badge and federated-vs-worker layout - composable-core: thicken the plug-in connectors so they read clearly, and widen the SEPARATE IMAGE badge so its text no longer overflows the box. - federated-vs-worker: shorten the WHOLE/SPLIT REQUEST pills to fit, and replace the tangled node-to-node activation arrows with a clean fan-out (request split across all sharded nodes), mirroring the federated panel. Assisted-by: Claude:claude-opus-4-8 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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Ettore Di Giacinto
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fbe4f0a99b |
fix(docs): replace Docsy alert shortcode with Relearn notice
The docs site uses the hugo-theme-relearn theme, which provides
`notice` instead of Docsy's `alert`. The face-recognition,
voice-recognition, and stores feature pages used `{{% alert %}}`,
breaking `hugo build` with "template for shortcode \"alert\" not
found".
Assisted-by: Claude:claude-opus-4-7 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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Ettore Di Giacinto
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181ebb6df4 |
feat: voice recognition (#9500)
* feat(voice-recognition): add /v1/voice/{verify,analyze,embed} + speaker-recognition backend
Audio analog to face recognition. Adds three gRPC RPCs
(VoiceVerify / VoiceAnalyze / VoiceEmbed), their Go service and HTTP
layers, a new FLAG_SPEAKER_RECOGNITION capability flag, and a Python
backend scaffold under backend/python/speaker-recognition/ wrapping
SpeechBrain ECAPA-TDNN with a parallel OnnxDirectEngine for
WeSpeaker / 3D-Speaker ONNX exports.
The kokoros Rust backend gets matching unimplemented trait stubs —
tonic's async_trait has no defaults, so adding an RPC without Rust
stubs breaks the build (same regression fixed by
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