SetDefaults injected the llama.cpp server options cache_reuse
(ApplyServingDefaults) and parallel (ApplyHardwareDefaults, re-applied
per selected node by the distributed router) onto every model config
regardless of backend. Every other backend ignores options it does not
understand, so this was harmless until longcat-video, which strictly
validates its options and fails LoadModel with
"unknown model option(s): cache_reuse, parallel".
Gate both injections behind a new UsesLlamaCppServingOptions allow-list
(llama-cpp plus the empty/auto-detect case that resolves to llama.cpp
from a GGUF file, mirroring how llamaCppDefaults is registered). This
follows the existing UsesLlamaSamplerDefaults precedent for llama-only
defaults. The typed NBatch field is deliberately left alone: it is a
proto field every backend simply ignores, which is why batch never
triggered the error.
Also harden the longcat-video backend to warn-and-ignore unknown model
options and request params through a testable select_known_options
helper, matching the other LocalAI Python backends, so a future
server-injected option cannot break loading again.
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>
handleRegenerate rebuilt the outbound message from the display-only
message.files metadata ({name, type: 'file'|'image'|..., content}),
which doesn't carry the base64/textContent payload sendMessage's
file-building loop expects. As a result, regenerating any answer whose
own question had an attachment silently dropped that attachment from
the resent message. This wasn't fork-specific, but forking a chat and
then regenerating an earlier (now non-last) answer is the natural way
to hit it.
Fix by reusing the original message's already-assembled `content`
verbatim (it already has the file text / image_url / audio_url /
video_url parts embedded from the first send) instead of trying to
reconstruct it from lossy display metadata.
Fixes#10806
Assisted-by: Claude:claude-sonnet-5
Signed-off-by: ajuijas <189517297+ajuijas@users.noreply.github.com>
Co-authored-by: ajuijas <189517297+ajuijas@users.noreply.github.com>
- Replace hardcoded text with useTranslation hook in UI components
- Add localization support for both English (en) and Indonesian (id) locales
Signed-off-by: Dedy F. Setyawan <dedyfajars@gmail.com>
* feat(ui): add voice library workflow
Give administrators a production-ready flow to record or upload consented reference audio, manage reusable profiles, inspect API usage, discover compatible models, and hand a saved voice directly to text-to-speech.
Assisted-by: Codex:gpt-5
* feat(voice): add managed voice cloning profiles
Make reusable reference voices manageable through the admin API instead of requiring model-directory and YAML edits. Discover compatible installed and gallery models from server-side backend capabilities, retain explicit model configuration controls, and stage saved references for supported backends.
Expose profile management through REST and MCP, document backend-specific behavior, and cover the workflow from profile creation through real Qwen3-TTS synthesis. Harden the agent-job HTTP test against completion racing cancellation.
Assisted-by: Codex:gpt-5
---------
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
* feat(backends): add LongCat video and avatar generation
Assisted-by: Codex:GPT-5 [apply_patch] [exec_command] [web]
* refactor(config): declare model I/O modalities
Make model configs declare input and output modalities so capability discovery no longer branches on backend or checkpoint names. Complete the LongCat gallery and user documentation, make the SDPA patch apply to the pinned upstream revision, and stabilize the Agent Jobs race exposed by the required hook.
Assisted-by: Codex:GPT-5 [web]
---------
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
Add four ready-to-run DFlash speculative-decoding entries for the
llama.cpp backend, now that upstream DFlash support (draft-dflash) is in
the pinned llama.cpp. Each entry bundles a full target model with its
small z-lab block-diffusion drafter and sets spec_type:draft-dflash,
spec_n_max:15, and flash attention (required by DFlash):
- qwen3-4b-dflash (Qwen3-4B + Qwen3-4B-DFlash drafter)
- qwen3.5-9b-dflash (Qwen3.5-9B + Qwen3.5-9B-DFlash drafter)
- qwen3.6-27b-dflash (Qwen3.6-27B dense + drafter)
- qwen3.6-35b-a3b-dflash (Qwen3.6-35B-A3B MoE + drafter)
The 4B pair uses the base Qwen3-4B target (not Qwen3.5-4B): its drafter
reports general.name "Qwen3 4B DFlash" and is the canonical pairing
documented upstream. All drafters were downloaded and verified to carry
GGUF architecture "dflash" (not the fork-only "dflash-draft" /
"DFlashDraftModel") so they load in the upstream backend, and every
drafter SHA256 was confirmed against the downloaded bytes.
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
* docs: refresh LocalAI homepage
Reframe the homepage around LocalAI's modular multimodal runtime, native inference engines, deployment range, and built-in platform capabilities. Remove the outdated video in favor of current product visuals and clearer paths into the documentation.
Assisted-by: Codex:gpt-5
* docs: give homepage a full-width canvas
Let the product homepage opt out of Relearn's persistent sidebar and duplicate title while preserving the documentation shell on interior pages. Tighten the responsive bounds for narrow screens.
Assisted-by: Codex:gpt-5
* docs: fit homepage to the Relearn content flow
Remove the full-width shell exception and use a single-column homepage inside the standard documentation layout. This avoids competing scroll containers and the compressed split hero.
Assisted-by: Codex:gpt-5
* docs: hide homepage scroll rail
Preserve Relearn's content scrolling while removing the visible scrollbar beside the landing-page hero.
Assisted-by: Codex:gpt-5
* docs: contain homepage sections within docs column
Prevent landing-page headings, figures, and section grids from widening Relearn's content pane or exposing overflow rails.
Assisted-by: Codex:gpt-5
* docs: remove nested homepage scrollbars
Wrap the quick-start command within its column and suppress component-level scrollbar tracks across the landing page.
Assisted-by: Codex:gpt-5
* docs: remove outdated gallery screenshot
Drop the stale Model Gallery image from the homepage until a current product visual is available.
Assisted-by: Codex:gpt-5
* docs: fix homepage architecture link
Point the homepage CTA at the generated reference/architecture route.
Assisted-by: Codex:gpt-5
---------
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
When a model config has no explicit backend, the model loader greedily
probes every installed backend and binds to the first Load that
succeeds. opus and local-store were the only in-tree backends with no
model artefact to validate, so they accepted anything — an LLM
installed after them could silently bind to the audio codec or the
vector store and then fail at inference with "unimplemented"
(see #9287).
opus now accepts only its own name (what the realtime WebRTC path
sends) or none. local-store namespaces are arbitrary (router caches,
biometrics, user-named stores), so core's StoreBackend now marks
genuine store loads with a store:// prefix on the gRPC model name and
the backend refuses names without it; core and backend ship from the
same release, so the convention upgrades in lockstep.
Also repair the bit-rotted 'make test-stores' bootstrap (the suite
never registered external backends, so BACKENDS_PATH was dead weight)
and add the Load-validation rule to the adding-backends checklist.
Related: #9287
Assisted-by: Claude:claude-fable-5 golangci-lint
Signed-off-by: Richard Palethorpe <io@richiejp.com>
The vibevoice transcription e2e hangs until the go test timeout when
the HF CDN is slow: the ASR Q4_K model is >10 GB, downloadFile capped
every curl attempt at --max-time 600 (needs a sustained ~17 MB/s to
fit), and curl's --retry restarts from byte zero, so no attempt ever
makes forward progress. This killed the job twice on PR #10764 and
previously forced skipping it on release tags (#10567).
Replace the wall-clock cap with stall detection (--speed-limit 1 MiB/s
over --speed-time 120s) and resume from the bytes already on disk with
-C -, retrying from Go because curl does not re-evaluate the resume
offset on its internal retries. Resume against the HF Xet CDN was
verified by killing a transfer mid-flight and confirming the next
invocation appended (114 MB -> 235 MB, GGUF magic intact).
Also parameterize the suite timeout (BACKEND_TEST_TIMEOUT, default
30m) and raise it to 120m for the vibevoice transcription wrapper: a
10 GB download plus 25 specs does not fit in 30m even on a good day,
and the job-level GHA timeout there is already 150m.
Assisted-by: Claude:claude-fable-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
* feat(vibevoice-cpp): true streaming TTSStream via vv_capi_tts_stream
Replaces the synth-to-tempfile TTSStream hack with a real streaming path:
binds the new vv_capi_tts_stream callback ABI via a single reusable purego
callback (CGO_ENABLED=0-safe, no runtime/cgo), copies each int16 PCM window
into the gRPC results channel after the streaming WAV header.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
* test(vibevoice-cpp): real-model streaming integration test with TTFA measurement
Gated behind VIBEVOICE_IT=1, this Ginkgo spec dlopens the engine .so and
drives the exact Go->purego->C TTSStream/TTS path against the real
vibevoice-realtime-0.5B model. It measures time-to-first-audio for the
streaming path versus the batch path and asserts the streaming win:
44-byte WAV header first, >=2 PCM windows, non-silent audio, and
TTFA < total_stream. Without the env var the spec skips so CI and
normal go test are unaffected.
Measured: TTFA 2.38s vs batch deliver-time 39.96s (first audio in 5.9%
of the batch time, ~17x faster), 18 stream chunks, non-silent 24kHz PCM.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
* chore(vibevoice-cpp): pin streaming-decoder engine build
Bumps VIBEVOICE_CPP_VERSION to the streaming-decoder engine commit that
adds vv_capi_tts_stream (localai-org/vibevoice.cpp#8). Re-pin to the
merged master commit once that PR lands.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
* chore(vibevoice-cpp): re-pin to merged streaming-decoder commit
localai-org/vibevoice.cpp#8 merged to master as 000e372; move the pin
off the PR branch commit onto the merged master commit.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
* test(vibevoice-cpp): check writer errors in TTFA report (errcheck)
golangci-lint errcheck flagged the unchecked fmt.Fprintf calls that
print the streaming TTFA headline. Build the report once with
fmt.Sprintf and write it per destination with an explicitly discarded
error, matching the GinkgoWriter reporting idiom used by the other
backend tests.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-fable-5 [Claude Code]
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
C++/ggml transcription + speaker diarization + timestamps backend. Purego
dlopens libmoss-transcribe.so (ggml statically linked) from moss-transcribe.cpp
and serves offline AudioTranscription, parsing the [start][Sxx]text[end] output
into segments with nanosecond timestamps. Adds the importer (surfaces in
GET /backends/known), backend-matrix (Linux + Darwin/metal), backend/index.yaml,
and a gallery entry (default q5_k GGUF from mudler/moss-transcribe.cpp-gguf).
Local L0 smoke (go build + go test ./... = 16 pass, golangci-lint 0 issues)
passed against the real libmoss-transcribe.so. The pre-commit coverage gate
(full pkg/core + tests/e2e) could not run in the authoring sandbox (no live
models, port 9090 held); CI must enforce it before merge.
Assisted-by: Claude:claude-opus-4-8 golangci-lint
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
Link the f5-tts library into the crispasr backend so CrispASR's native
F5-TTS runtime (SWivid F5-TTS, 22-layer DiT flow-matching + built-in Vocos
vocoder) is compiled in. The single self-contained GGUF auto-detects as
f5-tts through the session router, so no explicit backend selector is
needed. Add the f5-tts-crispasr gallery entry (cstr/f5-tts-GGUF) and an
env-gated e2e synthesis spec.
F5-TTS is voice-cloning only and has no baked speaker: it clones from a
reference WAV plus its transcript, supplied via the voice/voice_text
options. The gallery description documents this bring-your-own-reference
requirement.
Verified e2e on the pinned engine (278fb79): the GGUF auto-detects as
f5-tts, the reference voice loads, and synthesis produces a valid 24 kHz
mono WAV.
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>
