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Author SHA1 Message Date
localai-org-maint-bot
625ca71464 fix(pii): wrap reversible redaction tokens
Use configurable token delimiters to avoid restoring ordinary model text that happens to match an internal identifier. Rename the option and document the confidentiality tradeoff.

Assisted-by: Codex:gpt-5
2026-08-02 03:05:22 +00:00
localai-org-maint-bot
2e6c63daec feat(pii): restore request-scoped pseudonyms
Replace masked request values with unique per-request tokens when response restoration is enabled, then restore them across JSON and SSE write boundaries. Document the opt-in model setting and expose it in config metadata.\n\nAssisted-by: Codex:gpt-5
2026-08-02 03:05:22 +00:00
mudler's LocalAI [bot]
359bd4850d docs(blog): bring the 4.8 release post up to the final changelog (#11287)
The post was written against the first draft of the release notes, when the
cycle stood at 214 PRs over thirteen days. It closed at 321 PRs over eighteen
days, and three of the larger user-facing changes landed after it was written.

- Correct the counts throughout: 321 PRs, eighteen days, 24 contributors
  (11 first-time), gallery 1,221 to 1,505.
- Add sections for the three new capabilities: 3D generation as a modality
  (Generate3D, FLAG_3D, /v1/3d/generations, trellis2cpp), audio.cpp serving
  six audio endpoints from one process, and the operations bar becoming the
  Activity page.
- Cover the two further hardening fixes (tar hardlink escape, cyclic $ref
  stack overflow) alongside the TRL one.
- Note the Valkey store, systemd socket activation, persistent trace history,
  in-place chat edits, the self-contained SYCL backend and the site split.
- Group the new-engine sections together rather than splitting them across
  the operational ones.

Embeds the existing vllm-race and magpie clips, and adds a 3D generation clip
cut from the demo recording to the conventions in .agents/preparing-a-release.md
(no audio track, 14s, named for the feature). blog.css styled figure img but
not figure video, so a clip in a post rendered outside the card; both selectors
now share the rule.


Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-08-02 00:37:19 +02:00
mudler's LocalAI [bot]
a49f115b0d chore: ⬆️ Update ikawrakow/ik_llama.cpp to 0be97a7a5ad113f33e08729261649ccea2cdc5ff (#11282)
⬆️ Update ikawrakow/ik_llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-08-01 23:53:14 +02:00
mudler's LocalAI [bot]
0d6b38e709 chore: ⬆️ Update 0xShug0/audio.cpp to 545e29a6f2fde24298cb3b0f07baab4352987ac9 (#11281)
⬆️ Update 0xShug0/audio.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-08-01 23:52:58 +02:00
mudler's LocalAI [bot]
bef30732cd chore: ⬆️ Update CrispStrobe/CrispASR to 66ac7843e319b588f5410051c575affd19424fb3 (#11279)
⬆️ Update CrispStrobe/CrispASR

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-08-01 23:52:44 +02:00
mudler's LocalAI [bot]
5b7ca31bd1 chore(model-gallery): ⬆️ update checksum (#11285)
⬆️ Checksum updates in gallery/index.yaml

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-08-01 23:52:32 +02:00
mudler's LocalAI [bot]
21ecc799e5 fix(qwen3-tts-cpp): hold qwentts.cpp at 35ebe537, upstream master hangs in synthesis (#11286)
tests-qwen3-tts-cpp has been failing on master since 2026-07-31. The suite
loads every component fine and then stops: TTS() never returns from the
native call, so a job that takes ~5 minutes runs into the 20 minute Go test
timeout instead.

    goroutine 74 [syscall, 19 minutes]:
    github.com/ebitengine/purego.RegisterFunc.func4
    qwen3-tts-cpp.(*Qwen3TtsCpp).TTS  goqwen3ttscpp.go:154
    qwen3-tts-cpp.init.func2.4        e2e_test.go:90

Not a flake: reproduced on master and again on an explicit re-run.

Bisected across this cycle's eight qwentts.cpp bumps by their own check:
10832, 10850, 10902, 10964, 11006, 11039 and 11127 all pass in ~5 minutes;
11241 (abab6b3) fails at 1h58m. That PR was merged with this check already
red, which is how the hang reached master.

35ebe537..abab6b3 is three upstream commits, and the only functional one is
26dd8adb, "predictor: unroll the frame into one cgraph and sample in standard
ops", which is consistent with a generation loop that never reaches its stop
condition.

Hold the pin at the last known-good commit. The bump entry is commented out
rather than left in place, because it tracks upstream master and would put
the hang straight back on the next nightly run. Both spots carry a pointer to
the other so the hold is discoverable, and restoring it is uncommenting four
lines once upstream is fixed.


Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-08-01 23:40:35 +02:00
localai-org-maint-bot
9fe1165f61 fix(turboquant): retain CPU variants in GPU builds (#11276)
Select the CPU_ALL_VARIANTS target for x86 GPU images so partial offload uses runtime-selected host kernels. Keep GPU arm64 builds on the portable fallback until their toolchains consistently provide gcc-14.

Assisted-by: Codex:gpt-5

Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-08-01 16:06:36 +02:00
mudler's LocalAI [bot]
ad2be8a856 chore: ⬆️ Update ggml-org/llama.cpp to 876a4321163249c43ca4e986818fab5ab081f282 (#11177)
* ⬆️ Update ggml-org/llama.cpp

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

* fix(llama-cpp): drop merged MiniMax-M3 patch

The bumped llama.cpp revision includes the MiniMax-M3 parser and template detection, so the carried patch now rejects during backend preparation. Remove the obsolete patch while retaining the independent score-task patch.

Assisted-by: Codex:gpt-5 [systematic-debugging]

---------

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-08-01 16:06:13 +02:00
localai-org-maint-bot
3c02d2aa4d gallery: add Inkling Small GGUF variants (#11273)
Add Q4_K_M and IQ2_M sharded llama.cpp entries with the BF16 multimodal projector.

Assisted-by: Codex:gpt-5

Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-08-01 14:14:59 +02:00
localai-org-maint-bot
c0a9c42771 gallery: add Fara1.5 9B GGUF variants (#11271)
Add the new 9B Fara computer-use model alongside its existing 27B sibling, with Q4_K_M and Q8_0 llama.cpp variants plus the required vision projector.

Assisted-by: Codex:gpt-5 [web]

Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-08-01 11:49:26 +02:00
localai-org-maint-bot
cedcbf97a9 fix(llama-cpp): retain CPU variants in GPU builds (#11255)
Build the runtime CPU variant set alongside x86 GPU backends so partial offload uses the host's SIMD kernels instead of the scalar fallback. Keep arm64 GPU images on the portable binary until their builders consistently provide gcc-14.

Assisted-by: Codex:gpt-5

Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-08-01 09:26:23 +02:00
mudler's LocalAI [bot]
7e4a60c701 chore: ⬆️ Update TheTom/llama-cpp-turboquant to 8a891f4b566efdbd3cea92fafee3227a0a267683 (#11258)
⬆️ Update TheTom/llama-cpp-turboquant

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-08-01 09:25:51 +02:00
Zelys
76927ccde3 fix(utils): reject tar hardlinks that escape the extraction root (#11266)
* fix(utils): reject tar hardlinks that escape the extraction root

ExtractArchive pre-scans archive members and rejects symlinks, but tar
hardlink entries carry a regular file mode and so pass that check.
Header.Linkname was never validated, so an archive could create a link
to a path outside the destination directory.

Validate Linkname with the same path check already applied to member
names. Hardlinks that resolve inside the extraction root still extract,
so ordinary archives are unaffected.

pkg/oci/image.go already resolves tar.TypeLink targets before using
them; this brings the archive extraction path in line with it.

Assisted-by: Claude:claude-opus-5
Signed-off-by: Zelys-DFKH <zelys@dfkhelper.com>

* test(utils): cover hardlink overwrite and in-root hardlinks

The existing hardlink test names a link target two levels above the
extraction root, so its final assertion checked a path the link never
resolved to and could not fail. Point the target one level up instead,
at the path that assertion already names.

Add two cases. The first uses a .tar.gz, where ExtractArchive binds a
Tar config with OverwriteExisting set, and follows the link entry with a
regular entry of the same name. Before the fix that pair linked to a
file outside the root and then truncated it through the link, which the
plain .tar case does not reach. The second extracts a hardlink whose
target is an earlier member of the same archive, covering the claim that
ordinary archives are unaffected.

Assisted-by: Claude:claude-opus-5
Signed-off-by: Zelys-DFKH <zelys@dfkhelper.com>

---------

Signed-off-by: Zelys-DFKH <zelys@dfkhelper.com>
2026-08-01 09:25:35 +02:00
localai-org-maint-bot
fca7ab2df4 fix(gallery): correct Nanbeige 4.2 artifacts (#11269)
Use the case-sensitive Hugging Face filenames and refresh the linked SHA256 values for both gallery variants.

Assisted-by: Codex:gpt-5

Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-08-01 09:13:59 +02:00
mudler's LocalAI [bot]
04764bbe89 chore(model gallery): 🤖 add 1 new models via gallery agent (#11268)
chore(model gallery): 🤖 add new models via gallery agent

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-08-01 09:13:25 +02:00
localai-org-maint-bot
2f3dd404b5 feat(import): route MLX TTS models to mlx-audio (#11267)
Detect text-to-speech MLX repositories during model import and emit a TTS-ready mlx-audio configuration. Expose mlx-audio in the backend preference dropdown for repositories without complete metadata.

Assisted-by: Codex:gpt-5

Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-08-01 09:12:54 +02:00
mudler's LocalAI [bot]
a7440f032d chore: ⬆️ Update PrismML-Eng/llama.cpp to 4dd165625bb6c020285eec8b342af25cf60233dd (#11259)
⬆️ Update PrismML-Eng/llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-08-01 09:11:48 +02:00
mudler's LocalAI [bot]
4a6cd227a3 chore: ⬆️ Update 0xShug0/audio.cpp to f78227c52736a4792a50aa3f82ead7e7385c891b (#11261)
⬆️ Update 0xShug0/audio.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-08-01 01:23:41 +02:00
mudler's LocalAI [bot]
740d8684b5 chore: ⬆️ Update ggml-org/whisper.cpp to 2ca53bb45e38748d07b310eeb36245a7157ac882 (#11263)
⬆️ Update ggml-org/whisper.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-08-01 01:23:29 +02:00
mudler's LocalAI [bot]
cb432c4c99 chore: ⬆️ Update CrispStrobe/CrispASR to b5211ac635489049ee8ce86a82d69faa18e8d8da (#11264)
⬆️ Update CrispStrobe/CrispASR

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-08-01 01:23:18 +02:00
mudler's LocalAI [bot]
a4cd387100 chore: ⬆️ Update localai-org/rf-detr.cpp to 98d0f381b832ef08a608b65c7dd78db066ed8b9a (#11260)
⬆️ Update localai-org/rf-detr.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-08-01 00:49:42 +02:00
Dimitris Karakasilis
c089caf320 feat(sycl): make the intel llama.cpp backend self-contained on any host (#10991)
* feat(sycl): make the intel llama.cpp backend self-contained on any host

The SYCL backend shipped an incomplete oneAPI runtime AND relied on a
host-provided GPU driver, so it only ran inside the build container. On a
bare host it died with "libze_loader.so.1 / libdnnl.so.3: cannot open
shared object file", and even with the host's Intel driver installed it
SIGSEGV'd during SYCL init when the host driver was built against a newer
glibc than the backend's bundled loader (rolling-release distros).

package_intel_libs now bundles the complete, coherent oneAPI runtime
(the missing MKL ILP64 / sycl_blas / tbb_thread + oneDNN + the dlopen'd
UR adapters, plus a sweep of the backend binaries' own direct deps) and
the Intel GPU userspace driver (libze_intel_gpu + libigdrcl + IGC + gmm)
with its OpenCL ICD manifest, mirroring how package_vulkan_libs bundles
Mesa. run.sh points the Level Zero and OpenCL loaders at the bundled
driver, and install-base-deps.sh installs it in the SYCL build image.
Bundling the driver is safe across kernels because it talks to the host
i915/xe via the stable DRM UAPI (unlike NVIDIA's kernel-locked
userspace).

Validated on Arch (glibc 2.43, i915): the backend loads and runs on an
Iris Xe with no host Intel packages installed.

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

Signed-off-by: Dimitris Karakasilis <dimitris@karakasilis.me>

* fix(sycl): install a driver that exists, and let the user choose their own

The driver install added earlier in this branch asked apt for
intel-level-zero-gpu, which is not a package in Ubuntu 24.04. apt fails
outright on an unknown name, so neither driver was installed, nothing was there
to copy, and the images carried no driver at all.

It now comes from Intel's own repository, which has 25.18 for this Ubuntu
release, against 23.43 from late 2023 in the Ubuntu archive. The archive driver
does not know any card released since, so a machine with a recent Intel GPU
would end up carrying a driver that cannot drive it. Anything that goes wrong
during that install fails the build on purpose: an unreachable repository is a
passing problem that a retry fixes, while quietly carrying a different driver,
or none, is a difference nobody would notice until a user reports an idle GPU.

run.sh used to overwrite whatever driver the user had chosen. Level Zero uses
only the driver it is given, so on a machine with a card too new for the
carried driver, the GPU would go unused with no way back. Both that setting and
the OpenCL one are now left alone when already set, and the docs say how to
point a backend at the machine's own driver.

The OpenCL setting also used to be applied whenever the backend held a driver
list, even when the driver it named had not been copied, which leaves OpenCL
with nothing instead of falling back to the machine's own driver. It now
requires the copied driver to be present, and the packaging leaves out the list
entry of any driver it did not copy. The oneAPI images list a processor-only
OpenCL library, which was being carried with nothing behind it.

Two more corrections in the packaging. The scan for libraries a program is
linked against only looked at files named llama-cpp-*, so turboquant and bonsai,
which are also built for Intel GPUs, were left with the incomplete set of
libraries this branch set out to fix; it now looks at every program in the
directory. And a build that should carry a driver but ends up without one now
says so, which is what a stale prebuilt base image looks like: such a backend
still runs on a machine that has its own driver, so nothing fails and the only
other symptom is a user reporting an idle GPU.

Backends now also ask the driver to report how much graphics memory is free,
without which llama.cpp reads zero on an integrated GPU, since such a chip
shares the system memory instead of having its own. turboquant and bonsai get
the same run.sh handling as llama.cpp.

The driver is only carried by the builds that start through run.sh, because
run.sh is what points Level Zero and OpenCL at it. The Python backends for
Intel GPUs start differently and would never load it, so they keep using the
machine's own driver rather than carrying several hundred megabytes they cannot
use.

Checked in a container on Ubuntu 24.04: the install brings driver 25.18 with
the files where the packaging expects them, an unreachable repository fails the
build, and the copied set resolves on its own once the machine's Intel packages
are moved away.

Assisted-by: Claude:claude-opus-5
Signed-off-by: Dimitris Karakasilis <dimitris@karakasilis.me>

* fix(ci): rebuild every Linux backend when the GPU packaging script changes

scripts/build/package-gpu-libs.sh decides which GPU libraries end up inside an
image. The filter that builds the backend matrix listed it as an input of the
Python images only, so changing it rebuilt no Go and no C++ backend, even
though those run it from their own package.sh. A packaging fix aimed at the
Intel llama.cpp backend could merge and reach no image, which is the same
failure this rule was written to prevent.

Assisted-by: Claude:claude-opus-5
Signed-off-by: Dimitris Karakasilis <dimitris@karakasilis.me>

* fix(sycl): carry only the driver Level Zero uses, not the OpenCL one

llama.cpp reaches an Intel GPU through Level Zero, which hands the driver
programs that are already compiled and so needs only the back end of the
graphics compiler. The OpenCL driver can be handed source code instead, so it
needs the compiler's front end as well, and that arrives with its own copy of
clang. Carrying it cost about 139 MB in every backend built for Intel GPUs, and
took the carried set from 123 MB to 261 MB.

Nothing here takes that path. No LocalAI code selects an OpenCL device, each
backend image holds one backend, and the documentation never described OpenCL
as a way to run models: the only mentions are a stale clblas row in the
BUILD_TYPE table, for a llama.cpp backend that no longer exists and that no
build matrix entry uses, and the sycl-ls troubleshooting hint. Before this
branch the packaging carried the OpenCL loader and adapter but no driver, so
the path could not work in a released image either. There is nobody to keep
working.

The driver list that OpenCL reads is no longer carried, and run.sh no longer
sets OCL_ICD_VENDORS, so OpenCL inside a container keeps using whatever the
image provides rather than being pointed at a directory with no driver in it.

Checked in a container against the real 25.18 driver: the carried set is 123 MB
with nothing unresolved, and Level Zero still reports the GPU with the
machine's own Intel packages moved out of the way. Neither the Level Zero
driver nor the compiler back end names the front end or clang among the
libraries it opens by name, so the leaner set is complete for this path.

Assisted-by: Claude:claude-opus-5
Signed-off-by: Dimitris Karakasilis <dimitris@karakasilis.me>

---------

Signed-off-by: Dimitris Karakasilis <dimitris@karakasilis.me>
Co-authored-by: localai-org-maint-bot <bot-opensource@localaisrl.com>
2026-07-31 23:39:53 +02:00
localai-org-maint-bot
9584377a50 feat(chat): edit saved conversation messages (#11189)
* feat(chat): edit saved conversation messages

Add inline edit, save, and cancel controls for stored user and assistant messages without triggering inference. Preserve structured message attachments and cancel edits when streaming starts.

Assisted-by: Codex:gpt-5

* test(chat): preserve seeded conversation on reload

The saved-message edit test reloads the page to verify persistence, but its init script was replacing localStorage with the original fixture on every navigation. Seed only an empty store so reloads exercise the data written by the application.

Assisted-by: Codex:gpt-5 [Codex]

---------

Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-07-31 23:38:03 +02:00
mudler's LocalAI [bot]
51c9cc1934 chore: ⬆️ Update ikawrakow/ik_llama.cpp to 3f53a059024039358e9fef75b5dc0c99dbcb40f9 (#11262)
⬆️ Update ikawrakow/ik_llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-31 23:37:41 +02:00
localai-org-maint-bot
22e401b43d docs: fix local Hugo working directory (#11183)
Direct repository-root users to the supported make docs target and document the equivalent direct Hugo invocation from docs/.

Fixes #10062

Assisted-by: Codex:gpt-5

Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-07-31 23:37:27 +02:00
mudler's LocalAI [bot]
11403f4797 chore(model-gallery): ⬆️ update checksum (#11265)
⬆️ Checksum updates in gallery/index.yaml

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-31 23:36:46 +02:00
Ettore Di Giacinto
aa5a9c483a fix(website): connect the runtime, the engines and APEX into one thread
The page reads as a list of features with nothing joining them, so two
things did not land.

The engines section never said these are the backends LocalAI loads. The
runtime section describes a core that pulls each engine in on demand, and
the engines section describes engines written from scratch, and nothing on
the page connected the two sentences. Readers were taking parakeet.cpp and
the rest for unrelated side projects by the same people. The lede now says
whose backends they are before it says anything else.

APEX was used as a known term on first appearance, in a section that opened
onto a benchmark table. Nothing said what it is or why it follows the
engines. It now opens by placing itself in the stack: the engine decides how
fast a model runs, the weights decide whether it runs at all, and APEX is
the second of those. Then the numbers.

Also drops "Most backends wrap somebody else's engine. These do not", which
is the machine-written antithesis shape, and fixes a list that broke its own
parallel halfway through.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude Code:claude-opus-5[1m]
2026-07-31 21:28:21 +00:00
Ettore Di Giacinto
4b3978dcba chore(website): derive the counters from data, refresh them weekly
The star, fork, contributor and release counts were typed into the templates
by hand, so they only moved when somebody remembered. They had already
drifted: stars read 48,042 against 48,067, forks 4,314 against 4,320, and
contributors 224 against 225.

They move to website/data/stats.yaml, which .github/ci/refresh-site-counters.sh
rewrites from the GitHub API, run weekly by a new workflow. The contributors
and releases endpoints never report a total, so the script asks for one item
per page and reads the count out of the Link header. It refuses to write a
zero or a non-number, which is what a rate-limited or failed call looks like,
and the workflow commits only when a number actually moved. The Discord count
has no API behind it, so the script reads the existing value back and carries
it through.

The engine count was wrong in a second way. The hero said 18, the section
heading said "Eighteen engines", the timeline said "Nineteen engines of our
own", and the /engines/ page derived 19 from the data file. All of them now
derive from that same file, so they cannot disagree again.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude Code:claude-opus-5[1m]
2026-07-31 21:23:54 +00:00
localai-org-maint-bot
3f4e446adc gallery: add Qwopus3.6 27B Fusion variants (#11257)
Add Q4_K_M and Q8_0 llama.cpp entries for the newly released Qwopus3.6-27B Fusion reasoning and coding merge, with MTP enabled.

Assisted-by: Codex:gpt-5 [Hugging Face API]

Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-07-31 23:05:02 +02:00
Ettore Di Giacinto
e6b235baf2 fix(website): wrap the timeline, run integrations as a reel, fix blog cards
The timeline set six 15rem columns in a flex row with overflow-x:auto, which
needs 90rem and so scrolled sideways on any normal laptop. It is a wrapping
grid now, and the rule that carries the dots moves from the container onto
each item so a wrapped row still gets a line above it. Column gap is zero and
the items carry their own right padding, so the rule stays continuous.

Integrations move from a card grid to a reel. Any single integration is a weak
signal and the whole moving line is the strong one, so the count is doing the
argument. It pauses on hover and on keyboard focus, since the names are links.
The list grows from 8 to 26: Open WebUI, Dify, LibreChat, RAGFlow, Continue,
big-AGI, Nextcloud, Frigate, promptfoo, Mods, TypingMind, baibot, k8sgpt-
operator and others. Each was admitted only after opening that project's own
repository or docs and reading the line that names LocalAI. The ones that
failed that test are listed in the data file so nobody re-adds them.

The blog cards were hand-written, which is how one of them came to advertise
"Porting vLLM to C++", a post that does not exist, and how all three linked to
the blog index instead of an article. They range over the posts now.

The section intro used the "a changelog tells you what moved, these posts show
you what it does" shape, which is the standard machine-written antithesis. It
states what the posts contain instead, including the perplexity regression
that APEX costs, because publishing the price is the actual claim.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude Code:claude-opus-5[1m]
2026-07-31 14:55:16 +00:00
Ettore Di Giacinto
0bedc75921 fix(website): rewrite the ecosystem band, drop two false coverage links
The band led with three sentences of hedging and printed a commit count
next to each employer, so a one-commit entry beside a large name read as
weakness rather than as the modest, true claim it was. It now opens on the
contributor count, sets the employers as a sentence instead of a pill wall,
and keeps the caveat to one line. The counts stay in ecosystem.yaml, since
they are the provenance for the list and anyone re-checking it needs them.

Two "coverage" cards were not about this project. The modelslab.com piece
reviews Frikallo/parakeet.cpp, an unrelated project of the same name, and
the snailtext.app benchmark measures Parakeet through ONNX Runtime without
mentioning LocalAI at all. Both are removed, along with the contributor
card that duplicated the band's opening line.

Press was four posts from one vendor, which read as the whole of the
coverage rather than one enthusiastic outlet. SUSE collapses to a single
series entry, and Pulumi, Semaphore and Spectro Cloud join it. Each was
opened and checked against the project before being added. K8sGPT and
LlamaIndex join the integrations; both document LocalAI as a backend.

The quotes move above the lists so the section opens on its strongest
line, which is somebody else's. The hero gains a GitHub call to action,
the APEX collection link was returning 404 and is corrected, and the
footer no longer describes the site as a design mock.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude Code:claude-opus-5[1m]
2026-07-31 14:24:26 +00:00
Ettore Di Giacinto
dad4d5956a ci: move lint back to hosted runners, arc image has no make/gcc
Follow-up to 42541dd4f, which routed lint to arc-runner-set. Both of its
jobs failed there in one second (run 30637392862): the runner image has
git, curl, unzip, tar, ldd and python3, but not make, and build-scripts
additionally needs gcc because the packaging-script tests compile a
throwaway binary and inspect it with ldd.

golangci-lint needs make twice over: `make protogen-go` (which also wants
curl + unzip to fetch protoc) and `make lint` itself. So both jobs go back
to ubuntu-latest.

gh-pages.yml stays on arc-runner-set and is unaffected: it uses no make and
no C toolchain, and setup-go / actions-hugo fetch their own toolchains.

The preflight steps stay. They cost about a second on the hosted pool, and
they are what turned this into a one-second named failure instead of an
opaque one midway through a build. When the runner image gains make + gcc,
re-routing is one runs-on line per job. Any such re-route must stay
push-only: lint also runs on pull_request, and fork PRs execute untrusted
code that must not reach a persistent self-hosted runner.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude Code:claude-opus-5 [ClaudeCode]
2026-07-31 14:11:45 +00:00
Ettore Di Giacinto
42541dd4f6 ci: route site deploy and lint to the self-hosted runner
The GitHub-hosted runner pool is shared per ACCOUNT, not per repo, so a
burst in one repo starves every other. On 2026-07-31 it reached zero
scheduled jobs for 35 consecutive minutes with 39 jobs queued, while
arc-runner-set completed 12 jobs without interruption across the same
window. Actions was healthy globally (other public repos were scheduling
normally), so this is an account-level throttle we cannot fix from inside
the workflows, only route around.

Site publishing and lint are small, run on nearly every commit, and gain
nothing from waiting behind a saturated hosted queue, so both move to
arc-runner-set, the label already proven in generate_intel_image.yaml.

lint.yml is routed for PUSH ONLY, and this is the important part: that
workflow also triggers on pull_request, and a fork PR executes untrusted
contributor code. Running that on a persistent self-hosted runner would be
a real compromise vector, so anything that is not a push to mudler/LocalAI
stays on the ephemeral hosted pool. gh-pages.yml needs no such clause: it
triggers only on push-to-master and workflow_dispatch, so it never runs
pull-request code. Both carry a repository guard so forks, which have no
such runner label, fall back to hosted instead of queueing forever.

Neither workflow uses sudo or apt, and both fetch their own toolchains via
setup-go / actions-hugo. A self-hosted image can still be leaner than the
hosted one, so each lint job opens with a preflight that names the missing
tool (curl/unzip/make for protoc and lint; gcc/ldd/python3 for the
packaging-script tests) rather than failing opaquely mid-build. Reverting
is one runs-on expression per job.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude Code:claude-opus-5 [ClaudeCode]
2026-07-31 14:08:49 +00:00
Ankit Aglawe
fb54d0faab gallery: add Parable Claude-Fable-5 agent-trace models (3B/4B/8B) (#10930) 2026-07-31 13:10:48 +02:00
localai-org-maint-bot
314a824039 gallery: consolidate POCKET-35B variants (#11249)
Keep the canonical POCKET-35B family, add its missing Q3_K_M build, and remove the duplicate artifact entries introduced by overlapping gallery additions.

Assisted-by: Codex:gpt-5 [web]

Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-07-31 13:07:46 +02:00
mudler's LocalAI [bot]
b60b01d783 chore: ⬆️ Update 0xShug0/audio.cpp to f32876cfb45732dd4f43264e9104d229e95b0bc3 (#11233)
⬆️ Update 0xShug0/audio.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-31 10:01:44 +02:00
mudler's LocalAI [bot]
5d461ec7d2 chore: ⬆️ Update CrispStrobe/CrispASR to 677e95d0e60010f10636c3a0b1ba215b38a4a943 (#11234)
⬆️ Update CrispStrobe/CrispASR

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-31 10:01:28 +02:00
mudler's LocalAI [bot]
25a8a73b35 chore: ⬆️ Update ikawrakow/ik_llama.cpp to 9992f6b515ee63c7d6f7beee6b8414b0a6d1dd43 (#11235)
⬆️ Update ikawrakow/ik_llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-31 10:01:14 +02:00
mudler's LocalAI [bot]
e356315f9c feat(swagger): update swagger (#11236)
Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-31 10:00:59 +02:00
mudler's LocalAI [bot]
4076b32d42 chore: ⬆️ Update leejet/stable-diffusion.cpp to e31a86ce9110b11a98bd5990c329093244c2d1e3 (#11237)
⬆️ Update leejet/stable-diffusion.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-31 10:00:41 +02:00
mudler's LocalAI [bot]
d2be530d14 chore: ⬆️ Update ggml-org/whisper.cpp to 4523d0ce373ee4b2176b3251fff29fd4864fcf38 (#11240)
⬆️ Update ggml-org/whisper.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-31 10:00:28 +02:00
mudler's LocalAI [bot]
735420c216 chore: ⬆️ Update ServeurpersoCom/qwentts.cpp to abab6b3bf317cfa1b788efce1d25f4f9239395ad (#11241)
⬆️ Update ServeurpersoCom/qwentts.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-31 10:00:16 +02:00
localai-org-maint-bot
5e98f898db gallery: add Antares 1B GGUF variants (#11246)
feat(gallery): add Antares 1B GGUF variants

Add Q4_K_M and Q8_0 builds of the Granite 4.0-based security agent, linked as selectable gallery variants.

Assisted-by: Codex:gpt-5

Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-07-31 09:20:52 +02:00
localai-org-maint-bot
f01589d98b fix(oci): identify signature verification requests (#11244)
Signed backend verification performs separate registry requests for manifests and referrers. Reuse LocalAI's version-aware User-Agent there so the full install flow is attributable to LocalAI.

Assisted-by: Codex:gpt-5

Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-07-31 09:20:26 +02:00
mudler's LocalAI [bot]
daab94134c feat(website): add an ecosystem band, and an ADOPTERS file to back it (#11248)
Adds the "who turns up around this project" section, split into three lists
because the evidence behind each one is a different strength and collapsing
them into a single logo wall would overclaim.

  Contributors   21 companies whose engineers have commits here. Evidence is
                 the commit history plus the employer on that person's public
                 GitHub profile, so it is a claim about the person. Commit
                 counts are shown next to each name, including the ones that
                 are a single patch, because hiding that would be the whole
                 problem.
  Integrations   six projects that reference LocalAI in their own repository
                 or documentation, which anyone can verify without asking us.
  Press          four SUSE Communities articles about running LocalAI.

Names are set in type rather than fetched as logos. A logo reads as
endorsement, and a one-line typo fix from somebody who happens to work at a
large company does not support that, quite apart from what their trademark
policy says about it.

ADOPTERS.md is the mechanism for the stronger claim. An organisation that
wants to be listed as a user opens a pull request adding itself, which is both
the evidence and the permission, and is publicly auditable afterwards. The
file says plainly what the website does and does not claim, so the next person
to ask "can we add some big names" has the answer in the repository.


Assisted-by: Claude Code:claude-opus-5 [Bash] [Edit] [Write] [WebSearch]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-31 09:18:51 +02:00
mudler's LocalAI [bot]
94d5affcea feat(website): split the site, move docs to /docs, add a landing page (#11243)
* feat(website): split the site, move docs to /docs, add a landing page

The Hugo docs site has always been localai.io itself, which left nowhere to
explain what LocalAI is or show what the team builds. This adds a separate
marketing site at the root and moves the documentation under /docs/.

Docs:
  The existing site keeps its content tree and its Relearn theme, and now
  builds with baseURL <root>/docs/. Its _index.md, which held a hand written
  landing page, becomes a real documentation home.

  Every previously published URL keeps working. GitHub Pages has no server
  side rewrites, so .github/ci/gen-redirects.sh walks the built docs output
  and leaves a meta refresh plus a canonical link at each old root path. It
  covers bare .html files too, which is what keeps /gallery.html alive, and
  it never overwrites a path the marketing site already owns.

Website:
  A second Hugo site under website/ with its own layouts and no external
  theme, so the marketing side does not have to fight Relearn's home rooted
  menu and asset pipeline. CI builds both and merges them into one Pages
  artifact.

  The design is derived from the project logo rather than invented: the navy
  of the triangle, the cyan of the llama, the purple of the speed bars. Those
  offset bars became the motion signature. The background renders a real
  depth-anything.cpp depth map as contour lines and switches to a
  locate-anything.cpp style detection overlay over the engines section.

  Also included: an /engines/ index driven entirely by data/engines.yaml, a
  /blog/ section with five posts written from the release notes and the
  engine benchmark suites, install.sh and a Kubernetes manifest since the
  site advertises both, and a rule in .agents/ that release preparation now
  includes a blog post and demo clips.

Every figure on the site is derived from the repository or the GitHub API,
not from memory. Correcting them against their sources found one error in
README.md: voxtral-tts.c is text to speech, not speech to text.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude Code:claude-opus-5 [Bash] [Edit] [Write] [Agent]

* feat(website): add a star history chart, rewrite the history post in first person

The history post read like a changelog written by a committee. It is now in
Ettore's voice, first person, with the admissions left in.

The numbers paragraph in particular read like a directory listing. It now says
what the figures mean rather than which file they came from.

Adds an interactive star history chart, built from the GitHub stargazers API
rather than embedded from a third party, so the page makes no external request
and cannot break when someone else's service is down. The four releases the
post is organised around are marked on the curve, and the labels stack into
rows because three of them land within two months of each other.

The API stops paginating at 40,000 items, so the curve is measured up to
December 2025 and the segment from there to today's total is drawn dashed,
labelled as an estimate in the caption and in the tooltip. It is a straight
line between two known points, and the chart says so rather than implying it
is data.

Also drops "marketing site" from the README heading and everywhere else it
appeared, and calls it the main site instead.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude Code:claude-opus-5 [Bash] [Edit] [Write]

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-31 09:00:56 +02:00
mudler's LocalAI [bot]
b13c429b3b chore(model-gallery): ⬆️ update checksum (#11239)
⬆️ Checksum updates in gallery/index.yaml

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-30 23:53:35 +02:00
mudler's LocalAI [bot]
82487e68f3 fix(grammars): restore backslash escaping in llama31 grammar fixture (#11242)
PR #11041 rewrote the testllama31inputResult1 fixture and un-escaped the
backslashes inside its Go raw-string literal, turning `[^"\\]` into
`[^"\]` and `["\\/bfnrt]` into `["\/bfnrt]`. The fixture is compared
line-by-line against the grammar built from PRIMITIVE_RULES in
bnf_rules.go, which is unchanged and still emits the doubled form, so
"generates a valid grammar from JSON schema" fails on every platform.

Restore the four fixture lines to their pre-#11041 form. The cyclic $ref
and depth specs added by that PR are untouched.

The regression reached master because only the DCO check ever reported
on #11041; its test runs were cancelled during the CI purge.


Assisted-by: Claude Code:claude-opus-5[1m] [Bash] [Edit]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-30 23:53:23 +02:00
localai-org-maint-bot
5c2099f031 gallery: add POCKET GGUF model families (#11231)
Add the Qwen3.5-MoE POCKET-35B and Gemma 4 POCKET-26B releases with Q4, Q2, and compact IQ1 variants where available. Verify every artifact hash against its Hugging Face linked etag.

Assisted-by: Codex:gpt-5 [web]

Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-07-30 23:17:50 +02:00
mudler's LocalAI [bot]
6394909557 refactor(ui): move inline styles onto the design system, add an inline-style gate (#11238)
* refactor(ui): add layout/text primitives and per-page CSS blocks

The React UI already shipped a design system (tokens, form grids, data
tables, stat cards, callouts) that the pages largely bypassed: ~2,000
`style={{ ... }}` literals across src/pages and src/components. Each one is
a spacing or colour decision made locally, so no two pages share a rhythm,
which is the main reason the app reads as unfinished rather than as one
product.

Two additions, both to App.css:

  - A small semantic primitive layer: .stack / .hstack for vertical and
    horizontal rhythm, .text-note / .text-sub / .text-meta / .text-mono for
    the text roles the pages kept re-deriving, .tone-* + .icon-chip for
    semantically tinted icons, plus scale-locked spacing and size steps.
    Deliberately short and semantic, not a utility framework: the size and
    spacing classes exist mainly so that an OFF-scale value stays an inline
    style and therefore stays visible.

  - Named blocks for the shapes fifteen pages actually have (.p2p-diagram,
    .usage-tile, .tr-code, .mw-badge, .set-rail, ...), so those shapes are
    defined once instead of per call site.

Two findings worth recording. The type scale is xs 0.6875 / sm 0.8125 /
base 0.875, and 0.75rem was in use roughly 100 times without being on it
(along with 0.7, 0.85, 1.1 and 0.625rem); all now snap to the nearest step.
And there were thirteen distinct table column widths across the app where
three or four would do; they are pulled into .col-w-* so the ladder is
visible in one place, ready to normalise separately.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude Code:claude-opus-5 [Bash] [Edit] [Write]

* refactor(ui): move repeated inline styles onto shared classes

Six passes over src/pages and src/components, each matching a whole
`style={{ ... }}` attribute exactly so the swap is provably equivalent:

  - the identical "waiting for the first response" wrapper, repeated
    verbatim in 21 files
  - text roles (size + colour combinations) onto .text-note / .text-meta /
    .text-sub / .text-mono
  - semantic colours, type-scale steps, .panel-title, .list-row
  - spacing and weight steps, .stack / .hstack rows
  - table column widths, small pills, chart legend swatches
  - the remaining shapes appearing three or more times

One class of bug is worth calling out, because it is what a careless
style-to-class conversion produces and it is invisible to every check we
run. Adding `className="x"` to an element that already had a className
leaves TWO className attributes; JSX keeps the last and silently drops the
first, so `<i className={icon} className="text-xs" />` loses its icon while
passing eslint, `vite build` and the full Playwright suite. 112 of these
were introduced and repaired here. The gate added in a later commit fails
on them.

No visual change is intended beyond snapping off-scale font sizes onto the
type scale. Verified after every pass: eslint 0 errors, vite build passes,
Playwright page-render-smoke + navigation 22/22.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude Code:claude-opus-5 [Bash] [Edit] [Write]

* refactor(ui): convert fifteen pages onto named classes, add inline-style gate

Full per-page conversions, each one reading the page, naming the shapes it
actually has, and leaving inline only what is computed at runtime:

  P2P 205->0   Traces 50->0   ConfigFieldRenderer 23->0   NodeDetail 29->1
  ModelEditor 25->1   NodeInstallPicker 29->1   FineTune 175->2
  Nodes 33->2   ImportModel 35->3   Talk 43->4   AgentJobDetails 27->4
  Usage 97->6   Settings 24->6   Middleware 54->8   Backends 87->45

Every remainder is genuinely dynamic: a data-driven badge colour, a
`width: ${pct}%`, a tooltip's coordinates.

Naming the shapes made reuse fall out on its own. Nodes reuses the P2P
setup shapes (both present the same "no workers yet, here is how to add
one" flow) and Model Editor reuses the Settings section rail, which was
byte-identical. Two shared *style objects* also turned out to be classes
wearing a costume and were deleted: `monoCell` in Usage and `hintStyle` in
ImportModel.

Some fixes fell out of the conversion. The evaluation toggle on the
fine-tuning page was a hand-rolled div that rendered as a clipped circle;
it is the existing Toggle component now. That page's empty state pointed at
a "New Job" button that was scrolled off the top of the page, and now
carries its own call to action. And `.input--file` is added at the system
level rather than as a local hack, because ImageGen and VideoGen truncate
their file inputs the same way today.

scripts/inline-style-gate.mjs is the ratchet that keeps this from
regressing. It does not forbid inline styles; it fails when the total goes
UP (same discipline as the coverage baseline) and when an element carries
two className attributes. eslint would catch the latter via
react/jsx-props-no-duplicate-props, but that needs eslint-plugin-react,
which this project does not depend on, so the check lives next to the tool
that causes the problem.

  npm run lint:inline-styles          # check against baseline
  npm run lint:inline-styles:report   # per-file counts, worst first
  npm run lint:inline-styles:write    # refresh after converting

Net: 2,061 -> 611 inline styles. eslint 0 errors, vite build passes,
Playwright page-render-smoke + navigation 22/22, gate green on both checks.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude Code:claude-opus-5 [Bash] [Edit] [Write]

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-30 23:17:06 +02:00
mudler's LocalAI [bot]
704b87dc8e chore: ⬆️ Update leejet/stable-diffusion.cpp to e92e86fb11b3028ac9edaf63d93709801d106b12 (#11206)
⬆️ Update leejet/stable-diffusion.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-30 16:55:42 +02:00
Leoy
632c4b6db2 refactor(backends): extract package-system-libs.sh from 31 package.sh (#11095)
refactor(backends): extract shared package-system-libs.sh from package.sh

The arch-detect-and-copy-system-libs block (Darwin rpath / x86_64 / aarch64
loader + libc/libstdc++/libgcc_s/libm/libgomp/libdl/librt/libpthread) was
inlined verbatim in 31 backend package.sh scripts. Extract it into a single
sourced scripts/build/package-system-libs.sh, the CPU-side counterpart to
scripts/build/package-gpu-libs.sh and its sourcing contract.

Consolidating the copies fixes three drift classes that had crept in:
  - libgcc_s.so.1 and libstdc++.so.6 were listed twice in 9 backends
    (acestep-cpp, crispasr, moss-tts-cpp, omnivoice-cpp, piper,
    qwen3-tts-cpp, silero-vad, stablediffusion-ggml, whisper); the shared
    script copies each once.
  - libgomp.so.1 was omitted from opus. OpenMP consumers dlopen it rather
    than link it, so the missing copy only failed at runtime; the shared
    script always includes it.
  - the Darwin @loader_path/lib rpath was applied only in piper and
    silero-vad; both now pass their packaged binary to the shared script,
    preserving that behavior. Every other backend passes an empty binary
    path so no rpath is added, preserving its current behavior.

Each backend's pre/post packaging steps (binary copy, run.sh, ldd closure
walks, ggml variant bundling, espeak/OpenBLAS extras, the ds4 validate step)
are preserved verbatim; only the inline if/elif/else arch block is replaced
by a single source line.

Signed-off-by: supermario_leo <leo.stack@outlook.com>
Co-authored-by: localai-org-maint-bot <bot-opensource@localaisrl.com>
2026-07-30 16:30:49 +02:00
localai-org-maint-bot
68a0460681 fix(oci): install backends on filesystems without symlinks (#11166)
* fix(backends): fall back to copying links when the filesystem rejects symlinks (#10890)

Backend installation extracts the OCI image tar via containerd's
archive.Apply, which calls os.Symlink directly. On filesystems that do
not support symlinks (notably CIFS/SMB mounts, commonly used to back the
/backends volume) the syscall fails with "operation not supported" and
the whole install aborts, leaving an empty backend directory. The CUDA
llama.cpp image trips this on the libcublas.so -> libcublas.so.12.x
symlink.

When archive.Apply fails with a link-unsupported error, reset the
staging directory and re-extract with a pure-Go walker that still
attempts real symlinks/hardlinks first and degrades to copying the link
target's contents in place when the filesystem rejects them.
mutate.Extract already flattened the layers, so the tar carries no
whiteouts to interpret. Link copies are deferred to a second pass so
forward references resolve.

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

* fix(oci): check deferred Close in copyFilePreservingMode (errcheck)

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

* fix(oci): reject path-traversal tar entries in the link-copy fallback

safeJoin sanitized "../.." entries by clamping them under root instead of
rejecting them, so a malicious entry was silently redirected rather than
refused. Join without the leading-slash trick and reject any entry whose
cleaned path resolves outside root; absolute link targets are still mapped
under root (image-root relative) rather than escaping.

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

* fix(oci): silence gosec on the validated link-copy file ops

Use hdr.FileInfo().Mode() instead of converting the int64 tar mode to
os.FileMode (removes two G115 overflow findings), and annotate the tar
extraction file operations with justified #nosec comments: every path is
validated by safeJoin against the extraction root before use (G304/G305).

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

* fix(oci): build extraction image from downloaded layers

Avoid appending downloaded layers to the original remote-backed image, which duplicates the layer stack and reopens the source during extraction. Building from an empty image preserves the flattened whiteout semantics while keeping extraction local.

Assisted-by: Codex:gpt-5

* fix(oci): materialize chained links in dependency order

Retry deferred link copies until their targets exist so soname chains work on filesystems without symlink support. Document that copied links can increase backend storage usage on CIFS and SMB mounts.

Assisted-by: Codex:gpt-5

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-07-30 16:23:42 +02:00
Adira
ef724a3c9d feat(api): add /v1/detokenize endpoint (#9620)
* feat(api): add /v1/detokenize endpoint

Closes #1649.

Mirror of the existing /v1/tokenize path, requested by @benniekiss in
the issue thread for "complete API workflow" use cases that need to
turn token IDs back into text without local processing.

- Add Detokenize gRPC RPC with DetokenizeRequest{tokens} /
  DetokenizeResponse{content} messages.
- Implement in the llama.cpp backend using common_token_to_piece, the
  same primitive TokenizeString already uses internally.
- Other backends inherit the default Unimplemented from base.Base, in
  line with how Detect, Rerank, etc. are gated per-backend.
- Wire up the Go gRPC interface, server, client, and in-process embed
  wrapper alongside their TokenizeString counterparts.
- Add the schema types, ModelDetokenize wrapper, HTTP handler, route
  registration, RouteFeatureRegistry entry (gated by FeatureTokenize so
  no new feature flag is needed), and the discovery map entry under
  ai_functions.
- Regenerated swagger reflects the new endpoint and types.
- Update authentication.md to list /v1/detokenize alongside /v1/tokenize.

Assisted-by: Claude:claude-opus-4-7
Signed-off-by: Adira Denis Muhando <dennisadira@gmail.com>

* test(e2e): add mock backend tests for /v1/detokenize

Add Detokenize to the mock gRPC backend and wire up two e2e tests in
the MockBackend suite: one that posts known token IDs and asserts a
non-empty content response, and a round-trip that tokenizes first then
detokenizes the returned IDs.

Addresses reviewer feedback on #9620.

Assisted-by: Claude:claude-sonnet-4-6
Signed-off-by: Adira Denis Muhando <dennisadira@gmail.com>

* fix(kokoros): implement detokenize in the Rust backend service

The Detokenize RPC added in this PR grows the tonic-generated Backend
trait. Unlike the other languages there is nothing to inherit a default
from — Rust trait impls must list every method — so
backend/rust/kokoros failed to compile:

  error[E0046]: not all trait items implemented, missing: `detokenize`
    --> src/service.rs:72:1
  72 | impl Backend for KokorosService {

Go backends pick up the Unimplemented default from base.Base, and the
generated C++/Python servicer bases default to UNIMPLEMENTED, which is
why the Rust backend was the only one that broke. kokoros is the sole
Rust crate in the tree, so this is the full extent of the fallout.

Return Status::unimplemented("Not supported"), matching how this same
file already gates tokenize_string and ~20 other unsupported RPCs.

Fixes the tests-kokoros and backend-jobs-singlearch-4 (-cpu-kokoros)
failures on the previous head.

Assisted-by: Claude:claude-opus-5 cargo
Signed-off-by: Adira Denis Muhando <dennisadira@gmail.com>

---------

Signed-off-by: Adira Denis Muhando <dennisadira@gmail.com>
Co-authored-by: localai-org-maint-bot <bot-opensource@localaisrl.com>
2026-07-30 16:01:47 +02:00
mudler's LocalAI [bot]
965180581b chore: ⬆️ Update ggml-org/whisper.cpp to a630b35c6fc02c8879f751ec3f39a61327f01dc7 (#11205)
⬆️ Update ggml-org/whisper.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-30 15:58:24 +02:00
mudler's LocalAI [bot]
a740a25934 fix(ci): skip the master image rebuild for commits no image can see (#11223)
On 2026-07-30, 12 of the 23 queued runs of this workflow were commits like "add
1 new model to gallery" or a docs fix, each rebuilding all 18 container images.
That was roughly 216 queued jobs producing byte-identical output, in a queue
holding 1071 jobs with an oldest entry two days old.

Verified against the shipped Dockerfile before assuming it: the final stage
copies only entrypoint.sh, healthcheck.sh and the local-ai binary, there is no
go:embed of gallery/ or docs/, and the gallery is fetched at runtime from
github:mudler/LocalAI/gallery/index.yaml@master. A gallery-only commit produces
an identical image, and the gallery change reaches users through GitHub whether
or not an image is rebuilt, so nothing is delayed by skipping.

Add a `changes` job that decides once whether the push can affect an image; the
other 11 jobs take `needs: changes` and an `if:` on its output.

A job gate rather than paths-ignore on the trigger, for two reasons that both
fail silently if got wrong:

  - paths-ignore on `push` also applies to tag pushes, and a tag created on an
    existing commit carries an empty commits list. That would skip the release
    image build with no failure anywhere. The gate short-circuits to build for
    refs/tags/*, and for a base commit that is missing, zero or unresolvable --
    the same run-everything posture the backend matrix filter takes for a
    truncated diff.
  - the merge jobs use `if: ${{ !cancelled() && ... }}`, and !cancelled() is
    true when a dependency is skipped, so they need the gate named explicitly
    or they would try to merge manifest lists for images never built.

Checked the decision logic against real commits from the queue: the two
gallery/docs commits resolve to build=false, the two code commits to build=true,
and all three fallback paths (tag, zero base, unresolvable base) to build=true.


Assisted-by: Claude:opus-5 [claude-code]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-30 15:58:05 +02:00
localai-org-maint-bot
df7c946be6 docs: clarify persistent container storage (#11190)
Document all stateful container paths, explain upgrade behavior and UnRAID mappings, and correct the obsolete troubleshooting mount target.

Assisted-by: Codex:gpt-5

Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-07-30 15:55:30 +02:00
Owen Adirah
1659365059 docs: add reverse proxy timeout guidance (#11195)
docs: clarify reverse proxy bulk job guidance

Mention ingress controllers as another place to configure equivalent upstream response timeouts, and include an example private LocalAI URL for trusted bulk jobs.

Assisted-by: Hephaestus:openai/gpt-5.5 [opencode]

Signed-off-by: Owen Adirah <owenadira@gmail.com>
2026-07-30 15:54:25 +02:00
localai-org-maint-bot
5e541894df fix(llama-cpp): preserve GPU layers during option passthrough (#11193)
Stage the negative GPU-layer sentinels expected by the upstream argument parser, then restore LocalAI resolved values unless a passthrough flag explicitly overrides them. This avoids the parser assertion that terminated the backend for any generic option.

Assisted-by: Codex:gpt-5

Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-07-30 15:54:05 +02:00
mudler's LocalAI [bot]
79e88581c8 chore: ⬆️ Update localai-org/trellis2cpp to 2f3e6e26edbbaaf8ce93d092f16f46968a366a6a (#11208)
⬆️ Update localai-org/trellis2cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-30 15:52:58 +02:00
mudler's LocalAI [bot]
052ccb5e00 chore: ⬆️ Update mudler/parakeet.cpp to 1bfbebfaaf493866f49597cd3b7901959d395c60 (#11209)
⬆️ Update mudler/parakeet.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-30 15:29:22 +02:00
mudler's LocalAI [bot]
a1620579c7 fix(ci): skip the core image and release build on backend-only diffs (#11224)
Version-pin bumps dominate PR volume: 48 update/* PRs in the week to
2026-07-30, from 16 pins, each a two-line diff. bump_deps.yaml runs a 28-entry
matrix daily and opens one PR per moved pin; CRISPASR and the gallery checksum
produced one every day, ik-llama-cpp six in seven days. Almost all of them edit
nothing but a single backend/*/<name>/Makefile.

Neither image-pr.yml nor build-test.yaml can observe such a change. `make build`
is `go build ./cmd/local-ai`, GoReleaser builds that plus ./cmd/launcher, and
the core image's final stage ships only entrypoint.sh, healthcheck.sh and the
binary. The per-backend trees are copied into the builder but nothing in them
reaches the output. That is 7 + 3 jobs per bump PR that cannot fail for a reason
the diff caused, roughly 410 jobs a week.

Add backend/{cpp,go,python}/** to the paths-ignore of those two workflows. The
inputs that do reach the binary are deliberately outside those prefixes and so
still trigger a full run: backend/backend.proto (protogen-go), go.mod/go.sum
(the go mod tidy before-hook), and backend/Dockerfile.* .

Not applied to the workflows that genuinely read that tree:

  test.yml      TEST_PATHS names ./backend/go/{cloud-proxy,local-store,
                valkey-store}/...
  lint.yml      .golangci.yml carries backend/-scoped rules
  tests-e2e.yml the e2e suite drives real backends over gRPC
  backend_pr.yml its whole job is rebuilding the changed backend

Simulated against the change shapes that occur in this repo. Pin bumps and
python requirement bumps skip; backend.proto, go.mod, a core Go edit, a
backend/Dockerfile edit and any mixed diff all still run, since paths-ignore
skips only when every changed file matches.


Assisted-by: Claude:opus-5 [claude-code]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-30 15:13:53 +02:00
mudler's LocalAI [bot]
aa5a17d452 chore: ⬆️ Update CrispStrobe/CrispASR to 4e863bae52aa76a875e4aca57db54ae6d4145c5c (#11207)
⬆️ Update CrispStrobe/CrispASR

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-30 15:01:56 +02:00
mudler's LocalAI [bot]
d0809121e7 chore(model gallery): 🤖 add 1 new models via gallery agent (#11213)
chore(model gallery): 🤖 add new models via gallery agent

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-30 14:40:11 +02:00
mudler's LocalAI [bot]
13cab3706c docs(ci): correct the claim that BuildKit exports ccache mounts to the registry (#11220)
.agents/ci-caching.md stated that `cache-to: type=registry,mode=max` "exports
the cache mount data into the registry cache, so subsequent builds restore it".
BuildKit does not do that. A `--mount=type=cache` lives in the builder's local
state and is not part of a registry cache export, and every CI job gets a fresh
runner with a fresh builder, so /root/.ccache starts empty on every build.

The compile script already prints `ccache -s` after a `ccache -z`, so the
evidence was sitting in the logs:

  job 89766266951  llama-cpp cublas-13  6369s  0 / 889 hits (and 0 / 1778)
  job 89766267281  llama-cpp hipblas    8160s  0 / 537 hits
  job 90210828110  llama-cpp cublas-12  5673s  0 / 813 hits

The first two are the control. Their commit, 90355cd44, changed exactly one
file: backend/go/magpie-tts-cpp/Makefile, nowhere near llama.cpp. The engine
source was byte-identical to the previous build, which is the case this section
claims ccache serves, and the hit rate was still 0.00%. A restored-but-stale
cache would show partial hits; 0-of-N is an empty cache.

So llama-cpp, ik-llama-cpp, turboquant, bonsai, ds4 and privacy-filter pay the
ccache wrapper overhead and get nothing back, and multi-hour C++ builds
recompile identical translation units every time.

Record this rather than silently extending it. Wiring the same mount into
Dockerfile.golang, which covers 215 of the 434 matrix entries, measured 18%
faster locally on a rebuild after a source edit with a 71.5% hit rate, but only
because that test reused a single builder across both builds. In CI it would be
a no-op. The note spells out what would actually work (ccache remote_storage or
sccache with a real backend, or round-tripping the cache dir through
actions/cache) and what each costs.

Also correct the composite-actions list, which still named test.yml as a
free-disk-space consumer after #11219 removed it.


Assisted-by: Claude:opus-5 [claude-code]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-30 14:39:58 +02:00
mudler's LocalAI [bot]
cbc916aec2 fix(ci): build the native engine in a layer the registry cache can restore (#11221)
Dockerfile.golang builds 215 of the 434 matrix entries: every ggml/C++ engine
wrapped in Go. Each of those Makefiles clones an upstream repo at a pinned SHA
and compiles it once per SIMD variant (depth-anything-cpp builds four: avx,
avx2, avx512, fallback), and those variant targets depend only on the clone.
They cannot observe a change anywhere else in the LocalAI tree.

The compile sat below `COPY . /LocalAI`, so any edit anywhere invalidated it and
recompiled C++ that had not changed. Move it above that COPY, behind a copy of
only the backend's own directory.

This lands the compile in the part of the image the registry cache already
restores. Measured on two real CI builds of this Dockerfile (jobs 90551029008
and 90551028904, both fresh runners): 13 of 17 layers CACHED from
quay.io/go-skynet/ci-cache. The uncached tail is exactly `COPY . /LocalAI`, the
git-config RUN and the build RUN. Putting the engine above the COPY moves it
from the uncached tail into the cached region.

Local measurement, depth-anything-cpp CPU, rebuild after editing a Go file
outside the backend:

  master          78s, 216 C++ objects compiled
  this change     25s,   0 C++ objects compiled   (67% faster)

Note what this deliberately is not. An earlier attempt wired a
--mount=type=cache ccache into the same RUN. BuildKit does not export cache
mounts to a registry cache, so that measured well locally and is a no-op in CI
(see the ccache section of .agents/ci-caching.md). This change relies only on
ordinary layer caching, which the 13-of-17 figure above shows already works
here.

The layer copies the backend's whole directory rather than just the Makefile:
the CMake targets also need CMakeLists.txt and the file list differs per
backend. The cost is that editing a backend's own Go sources invalidates its
engine layer. The expensive cases are unaffected, since a shared-build-input or
backend.proto change, the weekly full-matrix cron and a tag push all rebuild
every backend while touching none of their directories.

Scoped to one backend for now: only depth-anything-cpp gains the `engine`
target. The other 27 fall through the `make -n engine` guard and build exactly
as before, verified against local-store and silero-vad. Rolling the target out
to the remaining 12 backends that define VARIANT_TARGETS is mechanical once this
is confirmed against the registry cache on master.

One caveat on merge: inserting layers shifts the cache keys, so the first build
of each entry after this lands is a full miss. It pays for itself on the second.


Assisted-by: Claude:opus-5 [claude-code]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-30 14:39:13 +02:00
localai-org-maint-bot
1189c6825b feat(tracing): persist bounded trace histories (#11203)
* feat(tracing): persist bounded trace histories

Retain API and backend traces below the data path, restore them at initialization, and serialize clears with asynchronous consumers.

Assisted-by: Codex:gpt-5

* fix(tracing): satisfy persistence security checks

Document why persisted filenames cannot escape the trace directory and explicitly ignore the best-effort temporary-file cleanup result.

Assisted-by: Codex:gpt-5 [golangci-lint]

---------

Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-07-30 12:20:01 +02:00
mudler's LocalAI [bot]
cb417464e5 chore(model gallery): 🤖 add 1 new models via gallery agent (#11194)
chore(model gallery): 🤖 add new models via gallery agent

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-30 12:18:11 +02:00
mudler's LocalAI [bot]
c4617265b9 fix(ci): trim two pieces of per-PR work that buy nothing (#11219)
Measured over the week to 2026-07-30, 97% of CI wall-clock is queueing and 3%
is execution: a median 5-hour queue against a 4-20 minute median job. With the
queue saturated, throughput is concurrency divided by service time, so cutting
execution time raises the drain rate directly. Two steps stood out as paying
nothing for what they cost.

test.yml: drop the free-disk-space step (~3.1min per run, ~22 h/week). That
action exists to make room for docker buildx layers and this job runs no buildx
step. It was also sized for a `make test` that downloaded multi-GB GGUF/whisper
fixtures and built llama-cpp/whisper/stablediffusion-ggml; the test-suite reorg
moved all of that into tests/e2e-backends and tests/e2e-aio, as the Makefile
test target already records. Its tool-cache:true wipe was additionally deleting
/opt/hostedtoolcache, forcing setup-go and setup-node to re-download toolchains
that ship preinstalled on the runner.

build-test.yaml: build only the host target on pull_request. The three-platform
cross-compile (linux/amd64, linux/arm64, darwin/arm64) is the bulk of that job's
~6.6min median, ~47 h/week, and nothing consumes a PR's binaries. goreleaser's
--single-target still runs every before-hook (protogen-go, react-ui, go mod
tidy), so the "is the release build broken" signal is unchanged. master pushes
and tags keep building all three.

Also record why the Linux Go workflows pass cache: false to actions/setup-go,
since it reads as an oversight and is not. Set up Go has a median of 11 seconds
on those runners, so there is nothing to win, and the repo already sits at
GitHub's 10 GB Actions cache ceiling with 31 entries, where each setup-go entry
is 222-375 MB on Linux and up to 1.4 GB on macOS. Re-enabling it would evict
something that is earning its space.


Assisted-by: Claude:opus-5 [claude-code]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-30 12:17:14 +02:00
mudler's LocalAI [bot]
47097041ff fix(vllm): apply Options[] engine flags before engine init (#11147)
fix(vllm): apply Options[] engine flags before engine init (#11130)

CLI-style flags in a model's `options:` array (`--quantization:gptq_marlin`,
`--enable-prefix-caching`, `--kv-cache-dtype:fp8_e5m2`) were discarded: the
backend only ever read `tool_parser`/`reasoning_parser` out of Options[], and
did so *after* `AsyncLLMEngine.from_engine_args()`, where nothing it set could
still reach the engine.

Map `--` prefixed options onto the AsyncEngineArgs dataclass before the engine
is constructed. Names are normalized the way vLLM's CLI spells them
(`--enable-prefix-caching` -> `enable_prefix_caching`), values are coerced to
the target field's type (bare flag -> True for booleans), and unknown or
uncoercible flags warn and are skipped instead of failing the load, since
Options[] is a bag shared with backend-level settings. Field types come from
the annotation's base so `Literal["auto", "float16"]` (vLLM's dtype) is not
mistaken for a float.

Precedence is typed proto fields -> `options:` -> `engine_args:`. The
production engine_args defaults seeded in hooks_vllm.go therefore skip any key
the user already set as an option, otherwise the later engine_args pass would
silently override it. Parser lookups now accept both spellings, so
`--reasoning-parser:qwen3` selects LocalAI's parser as well.

The helper's tests are stdlib-only and run in the lint workflow's
dependency-light job via `make test-python-helpers`.


Assisted-by: Claude:claude-opus-5 golangci-lint

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: localai-org-maint-bot <bot-opensource@localaisrl.com>
2026-07-30 12:13:00 +02:00
mudler's LocalAI [bot]
9c85cacfe3 feat(audio-cpp): add the audio.cpp native backend (#11141)
* backend(audio-cpp): add the native build scaffold

Links 0xShug0/audio.cpp engine_runtime through its public framework headers
and serves Health/Status. Model loading and the audio RPCs follow.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): keep the build-tree rpath at $ORIGIN

Upstream sets CMAKE_BUILD_WITH_INSTALL_RPATH in its own directory scope, so
CMake was appending its build-tree library dir to our target and baking an
absolute build-host path into the shipped binary. Set BUILD_WITH_INSTALL_RPATH
on the target so a package that forgets to bundle libggml*.so fails on the
build machine too, instead of only on a user's box.

Also document why EXCLUDE_FROM_ALL must stay on the add_subdirectory call,
correct the claim that Ubuntu ships no gRPC CMake config, stop the pin comment
from repeating the assignment token that bump_deps.sh rewrites, and make
test-engine fail rather than pass when no test is registered.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): parse namespaced model options

Splits option entries on the first colon so path values survive, and routes
load./session. prefixes to the upstream load and session option maps.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): reject out-of-range numeric model options

std::atoi is undefined once the digits exceed long and in practice wraps, so
device:2147483648 was accepted and handed the ggml backend selector a device
index of -2147483648 from a function whose error text promises a non-negative
integer. Parse with strtol and reject on ERANGE, on a value above INT_MAX, and
on any unconsumed trailing input. The error strings are unchanged.

Name the whole entry in the unknown-key error too: an entry like ':value' has
an empty key and left the user nothing to grep for in their YAML.

Tests look keys up through a helper instead of map::at, so a prefix off-by-one
fails one named check rather than aborting the binary and skipping the rest of
the suite, and cover the overflow, negative and non-numeric paths.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): route LocalAI RPCs onto audio.cpp tasks

Task-major resolution over the family's advertised capability set, with the
voice-reference and instructions signals selecting cloning and voice design,
and a streaming-to-offline fallback for server-streaming transcription only.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): use upstream's 'spk' task name and pin the preference order

The SpeakerRecognition short name was 'spkrec', which audio.cpp neither prints
nor parses; a name copied out of audio.cpp was rejected and a pinned 'spkrec'
would not survive the engine boundary. Emit 'spk', keep 'spkrec' as an
input-only alias, and correct the known-tasks lists.

Three assertions were vacuous because their fixtures advertised a single task,
so reversing a preference order or dropping the RPC name and the attempted
pairs from the capability error all passed. Give them fixtures that can tell
the orderings apart.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): convert sample, time and PCM units

Integer nanosecond conversion so 44.1 kHz stays exact, float seconds for the
VAD and diarization messages, and saturating s16le encode so an overshooting
sample cannot wrap to the opposite sign.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): harden seconds_to_samples against NaN and overflow

seconds_to_samples is the one entry point fed by untrusted-shaped input: a
float-seconds timestamp off the wire, or a boundary from a model that diverged.
Its guard covered only the low side, so NaN and out-of-range values fell through
to an undefined double-to-int64 cast and came back as INT64_MIN. A hugely
negative sample index used later as an offset or a length is a wild pointer
rather than merely a wrong timestamp. Reject NaN with the !(x > 0) form and
saturate before the cast.

Also round instead of truncating there. These functions exist to cross the float
seconds boundary the VAD and diarize messages use, and truncation lost a sample
about half the time on the samples-to-seconds-and-back round trip, starting at
n=1.

Pin the decode scale at INT16_MIN, pin nanosecond truncation on a nonzero
fraction, and record why the clamp argument order in f32_to_s16le is
load-bearing for NaN.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): map NaN PCM samples to silence explicitly

f32_to_s16le relied on std::min argument order to keep a NaN sample away from
std::lround, whose result is unspecified for NaN. That was too subtle to rest on
a comment, and the comment was itself wrong: it warned against a spelling that
the outer std::max already catches, while three real spellings leak, including
std::clamp, which is the idiomatic C++17 way to write the same clamp and so the
likeliest future edit.

Divert NaN before the clamp and encode it as 0. A NaN sample rendered as a
full-scale click is worse audio than a dropped one, and this unit converts audio
that may have originated off the wire.

Pin it with an exact-value check rather than a range check, since all three
outcomes the plausible spellings produce are finite and inside full scale, plus
an invalid-operation check that fails unless the NaN is diverted before any
ordered comparison. That second check is what catches modernizing the clamp and
dropping the guard together.

Also bound the seconds round-trip comment, which claimed unconditionally what
holds only below roughly 2^23 samples, and document NaN, saturation and that
bound in the header.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): assemble transcripts from runtime spans

The top-level transcript text is TaskResult.text_output verbatim. audio.cpp
carries text nowhere else: speech_segments, speaker_turns and word_timestamps
hold spans and labels only, so deriving the text from them empties the
transcript for any producer that omits word timing, VibeVoice diarized ASR
included. Fixtures cover every observed producer shape.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): keep a nested speaker turn's own label

A segment sourced from speaker_turns re-derived its speaker by greatest
overlap. A turn's overlap with its own span is the largest possible, so a turn
nested inside another speaker's turn could only tie with the container, and the
tie went to whichever came first. sortformer_diar binarizes each speaker
independently and sorts by start sample, so the container always comes first
and the interjecting speaker was silently erased from DiarizeSegment.speaker.
choose_segment_spans now carries the label out with the span.

Also pins the nearest-segment fallback against measuring from either endpoint
or from segment position, which a trailing-only stray word could not do, and
exercises the empty-word guard in join_words. Two fixtures that pin a rule but
do not mirror any pinned family are relabelled defensive.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): serialize runs with a wedge-aware guard

audio.cpp sessions are not reentrant and a wedged CUDA call cannot be
cancelled, so a plain mutex would pile every worker thread behind a stuck GPU.
Callers waiting past the configured bound, or arriving while the holder has
already overrun it, fail fast instead.

A caller that queues behind a healthy run deliberately does not stamp the
clock: only the thread that takes the lock does. Stamping on arrival would
restart the wedge clock on every request and hide a stuck run from everyone
behind it, which is the pile-up this guard exists to prevent.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): serialize inference through an InferenceLane

One audio.cpp model is loaded per backend process and its sessions are not
reentrant, so concurrent gRPC handlers have to take turns. Serialization alone
is not enough: a wedged GPU call cannot be cancelled from userspace, so an
unbounded queue behind one stuck run would swallow every gRPC worker thread
until the process is useless.

InferenceLane gives handlers a lane with room for one runner. LaneEntry occupies
it for a scope and gives it back on every exit, including an exception, and is
the only way to take the lane at all: occupy/vacate are private with LaneEntry
as the sole friend, so a caller cannot acquire without holding something that
releases. LaneEntry is immovable on purpose, because a moved-from entry would
have to stop releasing while the lane still recorded it as occupied.

A caller either waits indefinitely or brings a millisecond budget. A bounded
caller that cannot get in fails instead of waiting on, and a bounded caller
whose budget is already shorter than the age of the run in the lane fails
immediately, which is what stops a queue forming behind a wedged run. The two
failures carry different text: one names the wait it exhausted, the other states
the measured age of the run without claiming to know why it is long, since a
short budget meeting a legitimately long run lands there too.

The run's age is stamped only after acquisition. A waiter that published itself
as holder would restart the measurement and hide a genuinely stuck holder from
every caller behind it.

Budget negotiation and the overrun decision are pure functions taking their
inputs explicitly, so both are covered without threads or sleeping. The
per-model ceiling arrives as an int of milliseconds; a request may tighten it
and may never loosen it.

Replaces the previous run_guard unit, which was a derivative of an
Apache-2.0 file upstream and could not stay in an MIT tree. Written from a
behaviour contract with no reference to the removed code.

Tests: 65 checks, standard library only, single translation unit, clean under
-Wall -Wextra. Mutation tested at 23/23 killed; two of those mutants exposed
missing coverage and the tests were extended until they died. ThreadSanitizer
clean.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): make the B10 test able to fail, and document LaneEntry

Review of the previous commit found the B10 test could not fail for the reason
it was named. It aged the in-flight run to about 120 ms and then tried two
budgets, 30 ms and 60 ms, both under that age, so both callers took the
fail-fast path. "The two failure modes do not share one message" was comparing
two fail-fast messages that differ only in the budget they print, and the
timeout path was never reached. The second budget is now 400 ms, well over the
run's age, so that caller queues and times out, and a new check asserts which
path each caller took instead of inferring it from inequality. A mutant that
makes the fail-fast path emit the timeout message previously died only on B4 and
B8 checks; it now also dies on B10.

Comment-only changes elsewhere. LaneEntry now says it is not reentrant and does
not detect reentrancy: a second entry on a thread that already holds the lane
surfaces as LaneUnavailable with a positive budget, but parks silently in
unbounded mode, which matters because a handler may hold one across a whole
stream. The immovability note now names the shapes that work, an optional
emplaced in place or a unique_ptr, rather than saying to hold the entry
indirectly without saying how; all three documented forms were compiled before
being written down, which is how the note came to say that an optional of an
immovable type cannot itself be returned.

The header's explanation of why fail-fast exists is reworded. Two clauses traced
back to a specification written after reading the Apache-2.0 upstream header,
and while that was judged de minimis, this unit was rewritten precisely to carry
no upstream expression at all.

The margin table in the report was also wrong about which wall-clock margins are
load-sensitive: there are four, not one, and the tightest is the B3 arrival
check, which is now flagged at the call site. No margin value changed and none
moved across 65 runs.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): gate model loading on the audio.cpp family

Refuses any GGUF without an audiocpp.model_spec.family key and any non-GGUF
path without an explicit family option, so the model loader's greedy backend
probe cannot bind an unrelated llama.cpp GGUF to this backend (#9287).

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): load models and cache sessions per task

Loads one ILoadedVoiceModel and creates an IVoiceTaskSession lazily per
(task, mode), so the same model serves both the unary and streaming RPCs.
LoadModel derives the family from GGUF metadata or an explicit option and
fails with INVALID_ARGUMENT otherwise, so a failed load is a gRPC error the
backend probe can see.

audiocpp_backend::Task mirrors engine::runtime::VoiceTaskKind positionally,
and drift there is silent: every unit still compiles and every test still
passes while the backend runs a different task. Two mechanisms pin it. The
static_asserts in loaded_model.cpp catch an insertion or a reorder, and
-Werror=switch on that one file turns an appended upstream enumerator into a
build failure rather than a warning in a 600 file log.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): stop aborting the process on SIGTERM

The signal handler called grpc::Server::Shutdown directly. Shutdown takes an
absl::Mutex, which is not async-signal-safe: the handler can interrupt a thread
already holding that mutex, and abseil's deadlock detector responds by aborting.
Every SIGTERM therefore ended in exit 134 and a 'dying due to potential
deadlock' stack rather than a drained shutdown.

The handler now sets a lock-free atomic and returns. Server::Wait moves to a
helper thread so the main thread can poll that flag and call Shutdown itself,
outside any signal context. A condition variable would not have helped, because
notifying one from a handler is not async-signal-safe either.

SIGTERM and SIGINT both exit 0 with no stack trace, where both previously
exited 134.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): correct the status, lifetime and state contracts of LoadedModel

An environment fault during session creation was reported as UNIMPLEMENTED. A
missing libggml-cpu-*.so surfaced to the client as 'family silero_vad advertises
vad/offline but refused to create the session: Failed to initialize CPU
backend', which tells LocalAI the model cannot do this and must never be
retried, and sends an operator hunting a capability bug instead of a packaging
one. A throw from create_task_session is now a plain runtime_error, so it maps
to INTERNAL. Only a null return, where the family genuinely declined, stays a
CapabilityError.

The model.'s task: option was parsed and then dropped: it lived in a local that
died at the end of LoadModel and had no route to RequestShape::pinned_task.
LoadedModel now keeps it and exposes pinned_task().

The global model becomes a shared_ptr reached through snapshot(). An audio RPC
runs for seconds and cannot hold g_model_mu for its duration, so under a
unique_ptr a Free arriving mid-request would destroy the model underneath it.
Handlers now take a counted reference and whichever finishes last does the
teardown, outside the lock.

session_for documents the streaming state contract rather than resetting the
session itself. Resetting on a cache hit was tried first and is not possible:
silero_vad throws 'session prepare() must be called before Silero VAD reset()',
so it would turn an ordinary second fetch into a hard error. start_stream's base
implementation is already a reset, so a caller that runs prepare then
start_stream per stream gets a clean session; a probe against the bundled
silero_vad confirms an identical replay when it does and a carried-over stream
when it does not.

Also: an unknown backend: name is rejected before the model loads rather than
after; MainGPU is parsed instead of passed through std::atoi, which turned
'gpu1' into device 0 silently; and device carries a device_set flag, because 0
is both the default and a real device index, so MainGPU was overriding an
explicit device:0 that the neighbouring threads: handling promises will win.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): serve the VAD and Diarize RPCs

Both emit float seconds, converted from the runtime's sample-index spans, and
both take a counted reference to the loaded model through snapshot() and hold it
for the whole call: a Free arriving mid-request drops only the global's
reference, so whichever request finishes last destroys the model instead of one
of them running on freed weights. An AddressSanitizer build reproduces exactly
that heap-use-after-free inside ggml_vec_dot_f32 when the handler keeps a raw
pointer instead, which is why the shape is what it is.

The inference lane is taken before session_for, not after. session_for reads and
writes an unsynchronised session cache and the offline run calls prepare(),
which mutates the session, so both belong inside the lane.

Diarize routes before it reads the input file, so a family that cannot diarize
at all says so rather than complaining about the audio first. Its per-segment
text stays empty because audio.cpp's SpeakerTurn carries a span and a speaker
label only, and nested or overlapping turns are passed through untouched: a
sortformer turn inside another speaker's turn is correct output for overlapped
speech, and LocalAI is overlap-tolerant downstream. Duration counts frames
rather than floats, so a stereo input does not report twice its length.

Verified end to end against upstream's bundled silero_vad, which needs no
download, using the bundled 16 kHz speech asset: a synthetic tone returns
nothing, correctly, because silero detects speech and a sine is not speech.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): enforce ModelIdentity on VAD and Diarize

audio-cpp was the only C++ backend without the model-identity guard, and no
later task in the plan added it. pkg/grpc/server.go enforces checkModelIdentity
on exactly these two RPCs, for the reason #10952 records: in distributed mode a
worker can recycle a stopped backend's gRPC port for another model's backend,
and the controller's liveness-only probe cannot tell a stale cached route from a
live one. Without this guard a stale route gets a different model's VAD or
diarization answer back with a 200.

The loaded identity lives on LoadedModel rather than in a separate global, which
is where this differs from llama-cpp. A handler holding the model through
snapshot() then necessarily judges against the identity that model was loaded
with, and a concurrent reload cannot swap one without the other. The refusal is
NOT_FOUND carrying the verbatim grpcerrors.ModelMismatchSentinel substring.

session_for and run_offline now take a const LaneEntry & proof-of-holding
parameter. The rule that both must run under the inference lane was prose, which
is exactly how the plan came to specify the inverted order; it is now a compile
error. Restoring the inverted order fails to build rather than racing on an
unsynchronised session map with a mutating prepare().

Diarize's speaker-hint comment claimed the dropped hints were "not a silent
failure". From the caller's side that is what they are, and backend.proto
documents num_speakers as forcing, so the comment now says plainly that the
forwarding is dead for sortformer and that the family which lands must either
honour num_speakers or refuse it. read_audio_file inspects the error_code from
exists(), so an unsearchable parent directory no longer reports as a missing
file. The VAD handler records the stimulus that actually works, since silero
correctly ignores synthetic tones and the next task would otherwise rediscover
that.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): make the lane and identity guards structural

Two hardenings ahead of the eleven handlers still to be written, both of which
get harder to retrofit later.

The lane proof-of-holding parameter was a const reference, which binds to a
temporary, so session_for(rpc, shape, model->acquire(0)) compiled. Each such
temporary dies at the end of its own full-expression, releasing the lane between
two calls that must share one: precisely the split the parameter exists to
prevent, and the form a future author is most likely to reach for because it
reads as tidy. A non-const reference requires an lvalue, so the temporary form
now fails to compile while the named-local handlers build unchanged. The header
comment no longer implies the check is total either: it proves a lane was taken,
not that it is this model's lane.

The identity check was two lines each handler had to remember, with nothing
failing if a new one forgot them and no C++ equivalent of
model_identity_modalities_test.go to notice. snapshot() becomes
snapshot_unchecked(), whose only legitimate caller is Status, since HealthMessage
carries no ModelIdentity. Handlers go through snapshot_for(), which takes the
counted reference, refuses when nothing is loaded, and runs the identity check
before anything can route. Every handler already has to call something to obtain
the model, so the guarded call is now the shortest path and skipping it means
deliberately typing snapshot_unchecked. A convention that has to be remembered
can rot; this cannot.

Verified: the temporary-argument and inverted-order forms each fail to compile
with the expected diagnostic, the real handlers build, and bypassing the guard in
Diarize alone turns the identity test red on that RPC while VAD stays green.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): serve the AudioTranscription RPC

Adds result_map, the engine-to-proto boundary, and wires the offline
transcription RPC.

The handler branches on the ROUTED task: for Asr the request's prompt is
whisper-style decoding context and becomes a request option, for Alignment
the same field IS the transcript to align and becomes the text input.
Routing has already decided which.

The result text is TaskResult.text_output verbatim and is never derived
from the segments. audio.cpp carries transcript text in text_output and
nowhere else, so deriving it returns an empty transcript for every
producer that reports segments without word timing. transcript_assembly
already enforces that; this commit's job is not to undo it at the proto
boundary, and result_map_ctest pins it there.

read_audio_file now takes the sample rate the caller needs. Both file-fed
speech handlers ask for 16 kHz mono, for two reasons: silero_vad and
sortformer_diar refuse anything else outright, which turned an ordinary
44.1 kHz upload into INTERNAL, and nemotron_asr emits word timestamps in
its own 16 kHz feature domain whatever the input was, so only a 16 kHz
buffer makes the emitted nanoseconds right. Zero keeps the file's native
rate and channels, which is what source separation will need.

LoadedModel::check_can_serve answers a capability refusal before the lane
is taken and before the input file is read. Routing is a pure read of the
immutable capabilities, so a model that cannot serve an RPC no longer
waits out somebody else's run to say so. VAD and Diarize use it too.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): stop linking sentencepiece's vendored protobuf

engine_runtime links sentencepiece, whose default SPM_PROTOBUF_PROVIDER
builds the protobuf-lite 3.14.0 sources it vendors. The generated
backend.pb.cc is built against the toolchain's protobuf 3.21.12. Both
ended up in the binary: 476 google::protobuf:: symbols came from the
archive, 278 of them also defined by libprotobuf.so, and the archive won,
because once ld pulls a member in for sentencepiece's own code every
reference binds to the definitions that member carries.

The visible symptom is one function.
ParseContext::ParseMessage(MessageLite*, const char*) is what a generated
_InternalParse calls for a submessage field and for nothing else, so flat
messages parsed and nested ones did not: a TranscriptResult carrying
segments serialized to correct bytes that the same process could not read
back, and TranscriptLiveRequest, a oneof of submessages, could not have
been parsed at all. Underneath that, 3.21 generated code was running 3.14
arena, ArenaStringPtr and ExtensionSet code.

-Wl,--exclude-libs does not fix it. It makes those symbols LOCAL in
.dynsym and the parse still fails, because the binding was decided at
static link time and no visibility flag revisits it.

Setting SPM_PROTOBUF_PROVIDER to "package" before add_subdirectory points
sentencepiece at the protobuf the generated code was already built
against. Zero google::protobuf:: definitions remain in the executable
afterwards, every nested message round trips, and citrinet_asr, which
parses a SentencePiece ModelProto at load time and would break first if
this were wrong, still tokenizes and transcribes correctly.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): fix the segment text a transcription response is built from

Segment text is not decoration. core/http/endpoints/openai/transcription.go
routes response_format text, srt, vtt and lrc through
schema.TranscriptionResponse, which builds the entire body out of
Segments[].Text and never reads the top-level text. So for those four
formats the segment text IS the response.

nemotron_asr emits one word_timestamp per SentencePiece token, and the
word boundary is carried as a LEADING SPACE on the piece ("So", "me",
" call"). join_words inserted a space unconditionally, so
response_format=text returned "So me  call   me  na ture ," while the
correct sentence sat unread in the top-level field. The separator is now
chosen from the words themselves: whole words are space-joined, subword
pieces are concatenated, and one leading space anywhere selects the
latter. Concatenating the real nemotron pieces reproduces text_output
exactly, verified end to end.

This does not touch the top-level text, which is still text_output
verbatim. The rule that forbids deriving the transcript from the segments
is about the direction segments -> text; segment text has no source other
than its words.

Two smaller corrections in the same area:

timestamp_granularities ["word"] set only "word_timestamps", a key no
family in the pinned upstream reads. It now sets "return_timestamps",
which qwen3_asr does read and which both runs its forced aligner and
shortens its chunk window, so asking for word granularity no longer
silently returns nothing.

The request-option comment claimed more than it delivered. prompt,
translate and temperature are read by no ASR family, and are forwarded
only so a family adopting them works unchanged; the comment now says so
per key, and gives TranscriptRequest.diarize the same explicit treatment
threads already had.

Also: the shipping target now carries -Wall -Wextra -Wpedantic, which it
never did, so "the build is clean" starts meaning something; and
fill_transcript_result no longer swallows a null response pointer, since
answering OK with an empty transcript is the one failure mode this unit
exists to prevent.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): serve the AudioTransform RPC

Covers voice conversion, singing voice conversion, speech to speech and source
separation, the four tasks LocalAI's AudioTransform can represent.

AudioTransformResult carries one dst while htdemucs and mel_band_roformer
produce several named stems from a single run, so inference runs ONCE, every
stem is written as a sibling file <dst-stem>.<name>.<ext>, and params[stem]
selects which one dst receives, defaulting to vocals and falling back to the
first output. An unknown stem name is INVALID_ARGUMENT listing the real stem
names rather than a silent substitution, and the selection happens before the
first write so a refused request leaves no files behind. params[stem] is
consumed here and is not forwarded into the engine's request options.

The stem decision lives in stem_selection, which is stdlib only and therefore
tested by backend/cpp/run-unit-tests.sh. It also validates the names, because
they come from the model (htdemucs reads them from the GGUF's config.sources)
and each becomes a component of a path this backend writes: a name carrying a
path separator would escape the caller's output directory, and two stems
sharing a name would silently overwrite one another.

Both files are read at their native rate and channel count. Separation forces
it, since demucs and roformer refuse any rate but 44.1 kHz and lose the stereo
image that separates a centred vocal from a wide mix. The conversion families
all resample internally (seed_vc, vevo2, miocodec, chatterbox were each
checked), so passing the file through unchanged is also strictly better than
band limiting it to 16 kHz first.

Verified end to end against htdemucs f16 on a 44.1 kHz stereo mix: four stems
plus dst, dst byte identical to the selected stem, params[stem] selecting a
different one, an unknown stem refused with no files written, and mono input
preserved as mono output. Also against miocodec for the single output path,
where params[stem] is refused rather than ignored.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): refuse an impossible stem early, and stop blaming the caller for a failed write

Four fixes from the first review of the AudioTransform RPC.

check_can_serve now returns the resolved route, so params[stem] on a route that
is not source separation is refused from the route instead of after a full
inference: 11 ms rather than the 4.5 s a miocodec conversion costs, and far
worse on seed_vc or vevo2. The post-run refusal stays as the backstop for a
separation-routed family that returns no stems anyway. The typo'd-stem-name
case still needs the run, since no framework header publishes the stem names
before one.

Stem names carrying control bytes are refused. GGUF strings are length prefixed
and demucs reads its sources from JSON, so an embedded NUL survives to here:
two names differing only after the NUL are distinct std::strings, so the
duplicate check passes them, and then path::c_str() truncates both and they
open the same file. That is exactly the silent overwrite the duplicate check
exists to prevent, with the .wav lost as well.

A failed write is now INTERNAL rather than INVALID_ARGUMENT. The destination is
LocalAI's own generated-content directory, not anything the caller named, so a
full disk or a permission fault there is a server fault and is worth retrying,
which is the opposite of what INVALID_ARGUMENT tells a client. An empty output
path stays INVALID_ARGUMENT.

Two comment corrections and one clarification: the separators' required rate is
their checkpoint's declared samplerate rather than a hardcoded 44100, seed_vc
resamples with soxr and falls back to sinc-hann, and the "no files left behind"
guarantee covers a refused request, not a write that fails partway through the
loop.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(audio-transform): stop folding every upload to 16 kHz mono, and name the separation stems

Two defects that made source separation unusable through LocalAI's own API,
even though the backend served it correctly over gRPC.

/audio/transform normalized every upload to 16 kHz mono s16 through
utils.AudioToWav, with no way past it. htdemucs and mel_band_roformer refuse
any rate but their checkpoint's own and separate a centred vocal from a wide
mix using the stereo image, so every separation request through the HTTP API
died with "HTDemucs prepare() sample rate mismatch: expected 44100, got 16000"
while the same call over gRPC worked. The fold is not wrong, it is
backend-specific: LocalVQE's echo cancellation genuinely wants 16 kHz mono and
needs the reference in the same shape. So it becomes a declaration,
BackendCapability.AudioTransformInputMono16k, set for localvqe and for nothing
else. A backend that declares nothing gets its upload unchanged, which means no
backend has to opt in to work. utils.AudioToWavPreservingShape is the
non-folding conversion: a 16-bit PCM WAV passes through byte for byte at any
rate and channel count, anything else is transcoded to WAV with its rate and
channel layout kept.

The other defect is that the run-once stem design bought nothing. A separation
backend writes every stem beside dst from one inference, but AudioTransformResult
carried only dst, so the other three were files no caller could find and a
caller wanting all four had to run four separations. AudioTransformResult grows
a repeated AudioTransformStem, the backend fills it, core/backend validates that
each path really is inside the generated-content directory it handed over, and
the endpoint publishes them as an X-Audio-Stems JSON header beside the existing
X-Audio-Input-Url. JSON because a stem name is the model's own string and could
contain any separator a hand-rolled format would use.

Verified end to end through the HTTP endpoint with htdemucs f16 on a 44.1 kHz
stereo file: 200 with a 44.1 kHz stereo body, all four stems named and fetchable
through /generated-audio/, body byte identical to the selected stem, and
params[stem]=drums returning a different one. The same upload sent to a model
whose backend is localvqe still reaches the backend as 16 kHz mono, confirmed
both by the engine's own rate refusal and by the persisted input file.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix(audio-transform): reject extensible WAV from the passthrough, escape stem URLs, convert stems with dst

Four fixes from the second review, plus one bug they made visible.

isPCM16Wav tested only the bit depth, and go-audio's IsValidFile never looks at
the format tag, so a 16-bit WAVE_FORMAT_EXTENSIBLE (0xFFFE) upload was passed
through untouched where the old fold would have transcoded it. audio.cpp's WAV
reader accepts 16-bit only when the tag is 1, so such a file died with
"unsupported WAV encoding". Extensible is what many DAWs and Windows tools
write and music files are this endpoint's new headline input, so it is a
first-contact failure rather than a corner. The check now requires tag 1, with a
spec that fails against the old implementation.

Stem URLs are percent-escaped. A stem name is the model's own string and legally
contains a space, a '#', a '?' or a '%'; an unescaped '#' truncates the URL
before the request is even sent. The name field keeps the raw name.

sample_rate and response_format are applied to the stems as well as to dst.
Applying beat documenting: dst IS one of those stems, so leaving them alone
broke the "dst duplicates the selected stem" invariant the whole design rests
on, and both conversions are no-ops when unset. A stem whose conversion fails is
dropped from the header rather than advertised in the wrong shape.

Verifying that turned up why it had never been noticed: the two fields were
never bound at all. The request arrives as multipart/form-data and echo's binder
falls back to the FIELD NAME without a form tag, matching only
case-insensitively, so "SampleRate" never matched "sample_rate" and "Format"
never matched "response_format". Both were documented in the endpoint table and
silently ignored. Two form tags fix it, and with them the conversion is
observable end to end.

Docs: audio-transform.md now documents what LocalAI does to an upload before the
backend sees it, which backend gets the 16 kHz mono fold and why, params[stem],
and the X-Audio-Stems header with a worked example.

Also records the known limitation that the fold lookup is on the bare backend
name, so pinned variants (vulkan-localvqe) do not match, and points at
IsLlamaCppBackend as the suffix-tolerant precedent.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): serve the TTS and SoundGeneration RPCs

TTSRequest.voice is treated as a speaker reference clip when it names an
existing regular file, which makes routing prefer VoiceCloning, and as a named
preset otherwise, in which case it travels as VoiceReference::cached_voice_id.
Both the clip and SoundGenerationRequest.src are read at the file's own rate and
channel count: upstream's own CLI and server do exactly that, every consuming
family resamples internally and mostly with a better resampler than ours, and
ace_step and stable_audio resample their input per channel, so a downmix here
would delete the stereo image they are built to consume.

The request builders live in their own unit rather than in grpc-server.cpp's
anonymous namespace so they can be tested; grpc-server.cpp has a main() and
cannot be linked into a test binary. The option keys are the whole point of
these functions, so each one was grepped against the pinned upstream and the
accounting is written down beside it. instructions maps to "instruct", which is
what upstream's own server maps the OpenAI field to and what qwen3_tts and
omnivoice read, and to "caption" for irodori_tts; the style tag is spelled
"instruct" too, because "instructions" is looked up nowhere. duration maps to
"duration_seconds", read by all three generation families, with the proto's own
name kept only as a forward-tolerant alias. Keys that no family reads say so.

Both handlers answer a capability refusal before taking the lane and before any
file read, so a model that cannot synthesise does not queue behind somebody
else's run to be told no.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): stop emitting an empty style language, and name the missing clip

StyleCondition::language was set whenever has_language() was true, with no
!empty() guard, while the language option twelve lines below had one.
core/backend/tts.go sets Language unconditionally, so has_language() is true on
every request LocalAI sends and carries "" when the caller named none. An
engaged-but-empty style language is worse than an absent one: supertonic reads
text_input->language behind its own !empty() guard and then overrides it from
style->language with no guard at all, so "" replaced its "en" default and its
tokenizer threw "invalid Supertonic language: ". Every /v1/audio/speech request
that set instructions and no language would have been an INTERNAL against a
supertonic model. A plain request never saw it, because the style condition only
exists when instructions are non-empty, which is why the chatterbox end to end
run did not catch it.

TTS also stops discarding the Route that check_can_serve already returns. A
family routed to voice cloning without a reference clip used to be refused from
inside its own prepare(), which meant an INTERNAL naming neither the RPC nor the
field to set; chatterbox advertises clon and no tts, so that was every
preset-only request to it. It is now an INVALID_ARGUMENT naming
TTSRequest.voice, answered in about 4 ms, and it cannot misfire because
has_voice_reference is what selected cloning in the first place. Reading
CapabilitySet::supports_speaker_reference to generalise this stays a follow-up.

The src read carries a written caveat rather than a family blocklist, because
ace_step's editing routes legitimately need src: setting src on a stable_audio
model corrupts the heap and aborts the process in the pinned upstream, and the
only thing keeping that off the network is that
schema.ElevenLabsSoundGenerationRequest has no field for it. Nobody reading that
Go schema would know why, so the reason is recorded where the field is read.

build_tts_shape is extracted so TTSStream cannot describe the same request
differently, and it arrived untested: two mutations of it survived until a
test_tts_shape case was added.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): serve the TTSStream and AudioTranscriptionStream RPCs

TTSStream leads with a streaming WAV header carrying 0xFFFFFFFF sizes, matching
the convention backend/go/vibevoice-cpp established, so an HTTP client can start
playback before the full PCM exists. Its chunks are read from
StreamEvent::named_audio_outputs and not audio_output: supertonic, omnivoice and
voxcpm2 all put their streamed audio there and leave audio_output empty until
the very end, so reading the obvious field yields a stream with no audio in it.
The finish_stream result is the family's own merged whole rather than a tail, so
it is emitted only when nothing was streamed.

Streaming transcription sends incremental deltas and degrades to a single delta
plus the final result on families that offer no streaming ASR, which is the same
message sequence with fewer deltas. The four streaming ASR families disagree on
what partial_text means: nemotron_asr, vibevoice_asr and higgs_audio_stt report
incremental fragments while voxtral_realtime reports the whole hypothesis and
reports it twice, so the reconciliation lives in one tested unit rather than in
the handler. nemotron_asr reports only through the stream event sink, and only
from inside finalize, so the audio driver installs one and clears it again
before returning: the session is cached and a sink left holding the caller's
frame is a use after free waiting for the next stream.

begin_stream is now the only implementation of the streaming state obligation,
prepare then start_stream. Streaming sessions are cached, and what clears the
previous stream is start_stream's reset; a family override that dropped it would
break every call site with no compile error, so there is one call site.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): keep streaming deltas on UTF-8 boundaries, refuse dtypes that abort

TranscriptStreamResponse.delta is a proto3 string, whose wire format requires
valid UTF-8. voxtral_realtime reports its hypothesis as a concatenation of raw
token BYTES (tokenizer_text.cpp:171-183), so the cumulative difference between
two consecutive reports is eventually a lone continuation byte, and the C++
runtime serializes that with only a logged warning while the Go runtime refuses
to unmarshal it: the client loses the remaining deltas AND the final_result.
Measured on a trace of a non-ASCII sentence, 11 of 31 messages failed to
unmarshal and every accented character was lost. TranscriptDeltaTracker now
holds back an incomplete trailing sequence and merges it into the next fragment;
reconcile flushes it, which it always can because the final text is complete.
The same trace now unmarshals in full with zero failures.

A streaming buffer whose float count is not a whole number of frames is refused
rather than truncated. The integer division dropped the tail floats from the fed
audio and therefore from the transcript, with no diagnostic; vibevoice_asr
refuses the same thing from the other side of the call.

A supertonic GGUF whose weights are not f32 is refused at load. It reaches
ggml_concat with mismatched operand types and ggml_abort takes the whole backend
process down on the first request, so nothing downstream can report it: the
model loads, then every request kills the process. Attributed rather than
assumed, the unary TTS path aborts identically, and upstream records that
package as untested. The refusal names the orig package and says what to run
before deleting the guard.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): stop a repeated lead byte from orphaning the next delta

The first UTF-8 fix closed the cumulative half only. Rule 2 discards a fragment
the known text already starts with, and when that fragment is the LEAD BYTE of a
new character it looks exactly like a repeat of an older character beginning
with the same byte. It was discarded rather than held, its continuation bytes
then arrived alone and began the next delta, and utf8_complete_prefix_length
only ever inspected the trailing sequence, so a delta invalid at the FRONT went
out whole. Through a real Go proto.Unmarshal the review's four-character repro
gave 3 deltas, 2 unmarshal failures and a lost transcript.

Reachable from the incremental families, not only from voxtral: nemotron_asr's
decoder cuts at a byte offset and vibevoice_asr's common_prefix_size compares
bytes, so both split characters. Measured over 30,000 randomized incremental
traces, 53.28% of Japanese traces and 9.52% of French ones carried at least one
delta the Go runtime refuses.

Two changes. Rule 2 no longer judges a fragment that ends mid-character, so the
lead byte is held instead of swallowed and the character survives intact; the
cost is a few duplicated bytes in a shrinking cumulative report, which no pinned
family produces. release() additionally drops leading orphan continuation bytes,
so no delta can begin mid-character whatever the rules above it decide. Losing a
byte keeps the stream alive; emitting one ends the RPC and takes the
final_result with it.

Post-fix all 60,000 traces produce zero unmarshal failures, and the cumulative
streams plus both pure-ASCII incremental streams are byte-identical to the
previous commit, so nothing changed for the families already working.

The weight-dtype allow list moves to family_gate, where it is stdlib-only and
pinned by a test rather than only by a comment. Two comment citations corrected.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): read only an exact repeat as a repeat, not any prefix

Rule 2 discarded any partial the known text merely started with. For a cumulative
family that is a duplicate; for an incremental family it is an ordinary short
fragment that happens to coincide with the start of the transcript, and it was
dropped, silently corrupting the text. Pure ASCII, no multi-byte character
anywhere: the fragments "pure ", "ascii ", "trans", "c", "ri", "p", "t" left the
client holding "pure ascii transcrit". Over 5,000 randomized traces per
transcript, 9.50% of pure-ASCII and 29.12% of French traces ended with the client
holding something other than final_result.text, with a 200 and no diagnostic.
Both incremental families emit fragments that small routinely, since nemotron_asr
cuts at a byte offset and vibevoice_asr at a common prefix.

Narrowing rule 2 to an exact repeat drives that to zero on all six transcripts
and changes no cumulative stream at all: 30,000 randomized cumulative traces are
byte-identical to the previous commit.

What rule 2 guarded was established from upstream rather than from its own
comment. The only duplicate any pinned family produces is voxtral_realtime's,
where process_available_stream_chunks feeds each event to the sink from inside
its loop and returns the last of the batch, so that event arrives twice with
byte-equal text. A duplicate is an exact repeat, so equality still covers it. The
case given up is a cumulative report that SHRINKS, which no pinned family can
produce: voxtral decodes a token vector that is only push_back'ed and cleared by
reset(), so within a stream it can only grow.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): serve the AudioTranscriptionLive RPC

The one bidirectional stream this backend serves. The client sends a
TranscriptLiveConfig, then TranscriptLiveAudio frames; the server acknowledges
with ready, emits deltas as the audio arrives, and sends final_result once the
read side closes. There is no offline fallback: live transcription has to
consume audio incrementally, so a family with no streaming ASR is refused
rather than served a batch run, which is what this RPC's Streaming-only
mode_candidates list already says.

The driver is a new sibling of run_streaming_audio, run_streaming_live, because
the audio does not exist yet: instead of slicing a buffer it pulls frames from
the caller until the read side closes. It installs the same ScopedStreamSink in
the same order, which is not optional, since nemotron_asr returns a bare event
from process_audio_chunk and reports every partial through the sink from inside
finalize(). It buffers the wire's frames up to the family's own preferred window
rather than feeding whatever size the client's audio callback produced, and it
does not call finish_stream at all when no audio arrived, because nemotron_asr
throws "finalize requires streamed audio" and an empty transcript is the
truthful answer to transcribing nothing.

Three things the handler had to get right and one it cannot:

  - The audio contract. A live request carries no samples, but nemotron_asr's
    streaming prepare() throws without an audio contract, and
    build_preparation_request derives it from TaskRequest::audio_input, so that
    field is an EMPTY buffer holding only the rate and the channel count.
  - 16 kHz or a refusal. The families express their spans in their own 16 kHz
    feature domain whatever the input was, and live frames cannot be resampled
    on the way in the way a file can, so an 8 kHz session would return
    timestamps 2x off with a 200. core/backend hardcodes 16000 anyway.
  - A mid-stream Config is refused. backend.proto calls it a decoder reset, but
    deltas already on the wire cannot be retracted, so a reset would leave the
    final text contradicting the transcript the client assembled. Ignoring the
    message would hand a client that believes it reset the decoder a transcript
    that silently continues the audio it thought it discarded.
  - The stale-route identity check cannot run here: TranscriptLiveRequest
    carries no ModelIdentity in either arm of its oneof, so snapshot_for does
    not instantiate for it. snapshot_unchecked's comment now names that as a
    second legitimate class of caller and says the fix is a proto change.

eou and eob stay false. They exist for cache-aware models that emit
end-of-utterance and end-of-backchannel tokens; audio.cpp's StreamEvent has no
equivalent signal, and a client uses eou to decide the speaker yielded the turn,
so a guess inferred from silence cuts people off mid-sentence.

The lane is held for the whole stream, which is as long as the user keeps
talking: the streaming session is stateful and cached, so a concurrent run would
interleave two callers' audio and corrupt both transcripts.

Verified against nemotron_asr over a real connection with a 14 s WAV in
512-sample frames: ready first, 59 incremental deltas with no repeated prefix,
concat(deltas) equal to final_result.text, word timestamps in nanoseconds, eou
and eob false. citrinet_asr answers UNIMPLEMENTED naming the family and listing
asr/offline. A config followed by a close returns an empty final_result rather
than hanging, and a first message that is not a config is INVALID_ARGUMENT. Two
concurrent streams both return the complete transcript.

Two cleanups on lines Task 12 touched, folded in. The DtypeAllowList terminator
is now asserted at compile time: the reported out-of-bounds read did not exist,
the single entry does terminate, but the loops have no other bound and any edit
that widened an entry would walk off the end. And the dtype guard now
short-circuits on "is there a table entry" through a new predicate rather than
on the emptiness of the description string, which would have skipped the check
on an entry with an empty allow list, i.e. on precisely the entry that refuses
every dtype.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): bound the lane a live stream can hold

AudioTranscriptionLive holds the model's inference lane for the whole stream,
which is correct (the streaming session is stateful and a concurrent run would
interleave two callers' audio) and newly dangerous. Every other RPC holds the
lane across compute, or across a write to a slow reader, and both of those
terminate on their own. A live stream instead blocks in a client-driven read,
and a peer that goes silent WITHOUT closing the stream never terminates
anything: the lane stays taken and every other request against that model queues
behind a client that stopped speaking.

live_watchdog is a one-shot idle timer that ends the stream when no frame has
arrived inside a window. It is standard library only, so it is unit tested
without an engine. gRPC's synchronous Read has no timeout and cannot be given
one, so the only way to unblock it is ServerContext::TryCancel, which decides
the wire status itself: the client sees CANCELLED rather than the
DEADLINE_EXCEEDED the handler returns, the reason is logged, and the lane coming
back is the point. When it fires the read loop throws rather than reporting
end-of-input, so the driver does not go on to finalize a decode nobody is
waiting for.

It is armed only after the lane is taken and disarmed as soon as the read side
closes, and both ends matter. Arming earlier would cover acquire(), which
legitimately blocks while another live stream runs, so a queued caller would be
cancelled for waiting its turn. Disarming later would cover our own decode,
where a window overrun is not a peer going quiet and cancelling would throw away
the transcript the client is waiting for.

The window is the new live_idle_timeout_ms option, 30 s by default, 0 meaning no
limit. core/http/endpoints/openai/realtime.go drives a 300 ms ticker and feeds
every tick that produced new audio while a turn is open, so 30 s of silence is a
hundred ticks that delivered nothing. It is also longer than any pause a speaker
takes mid-utterance, which is the case that must never be cut off, and
backend.proto lets one stream span many utterances, so a client that pauses
longer between them raises the option rather than discovering it.

Two smaller corrections in the same handler:

  - check_can_serve now runs BEFORE the sample rate check.
    pkg/grpc/grpcerrors/errors.go degrades to the file path on UNIMPLEMENTED and
    on nothing else, so a live-incapable model asked at a wrong rate was
    answering INVALID_ARGUMENT and costing the caller its fallback.
  - a negative sample rate is refused instead of silently becoming 16000. Zero
    still means 16000, which is what the proto documents; -1 is malformed rather
    than absent and gets the same refusal every other bad rate gets.

And one thing recorded rather than changed, at the handler: "live" here means
incremental INPUT, not low latency, and with the pinned families it does not yet
mean incremental OUTPUT either. nemotron_asr's process_audio_chunk only appends
to its buffer, so its whole decode and every delta happen inside finalize(),
after the client closes its send side. The policy-window buffering is inert for
that family and matters only for vibevoice_asr and higgs_audio_stt.

Verified on the wire with live_idle_timeout_ms:3000. A silent client acked at
371 ms and was cancelled at 3.371 s; a second live stream opened one second
later received its ack 2.37 s in, i.e. at the instant the first was cancelled,
and then transcribed successfully on the same cached session. Without the
watchdog it would still be waiting. Re-ran the live transcription (ready first,
59 incremental deltas, concat equal to the final text, word timestamps in
nanoseconds, eou and eob false), the citrinet refusal at both a right and a
wrong rate (UNIMPLEMENTED either way now), and Task 12's AudioTranscriptionStream
on nemotron_asr, which is unchanged.

Mutation testing the watchdog found a weakness in its own test: the destructor
test slept past the window inside the watched scope, so a destructor that
DETACHED the thread instead of joining it passed unnoticed. The test now uses a
window longer than the scope, which kills that mutant, and says why.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): refuse the unsupported RPCs with a reason

AudioEncode, AudioDecode, AudioTransformStream, AudioToAudioStream and
VoiceEmbed have no counterpart in audio.cpp's VoiceTaskKind. Each now returns
UNIMPLEMENTED naming the loaded family, what that family does support, and the
upstream limitation, instead of the generated base class's bare status. The
reasons live in a table in capability_routing.cpp so they are data rather than
literals copied into five handlers, and so a test can assert every one of them.

The five claims this was planned against were re-read at the pinned upstream
e800d435d130dc776baf6f3e6129bb62b1495c89, and one did not hold. "audio.cpp
streams tts and asr only" is false: silero_vad advertises vad with
RunMode::Streaming. The refusal stands on the narrower claim that survives, that
no family advertises streaming for any task AudioTransform routes to, and a test
asserts the refuted wording does not come back.

VoiceEmbed is the one refusal whose request carries a ModelIdentity, so it runs
the #10952 check before answering: a stale route must get NOT_FOUND and the
router's sentinel, not "audio.cpp cannot embed speakers" about a model that is
not loaded here. It cannot use snapshot_for, whose no-model branch would tell
the caller to load a model when no model can help, so it takes the reference
through snapshot_unchecked and checks identity itself. That function's comment
now names three classes of caller instead of two.

The two bidirectional surfaces refuse without reading their stream, verified
with a client that writes a config and eight frames first and gets the status
rather than hanging.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): correct the vevo2 clause, and assert the absences

Review found a false clause in the AudioToAudioStream refusal. It said s2s is
"offline voice conversion ... which converts one clip into another speaker's
voice", which is true of miocodec and false of vevo2: vevo2's s2s route is
`editing` and only `editing` (default_route_for_task and route_matches_task in
src/models/vevo2/session.cpp), documented as "Edit source speech into new target
text while using the target voice" and requiring --target-text, so it rewrites
what was said. vevo2's voice conversion is its separate vc task. It now reads
"offline clip-to-clip processing against a target voice, declared only by
miocodec (voice conversion) and vevo2 (speech editing)", and a test asserts the
miscast cannot come back. The conclusion is unchanged: neither family converses.

That defect was undetectable on the wire, since vevo2 does not load here, which
is the argument for upstream_absence_ctest.cpp. It links engine_runtime purely
to interrogate make_default_registry() and asserts the five premises the refusal
reasons rest on: no codec task kind, no family advertising spk, no streaming for
sep/vc/svc/s2s, miocodec advertising exactly vc and s2s, and s2s advertised by
exactly miocodec and vevo2. The last two are exact sets, so an addition fails
here rather than leaving a message stale. A positive control proves the registry
is populated and the query works before any absence is believed, and every
assertion has a reproduced negative control. This turns an AUDIO_CPP_VERSION
bump from "remember to re-read five prose paragraphs" into a test failure.

unsupported_surface now switches over UnsupportedRpc with no default label, so
-Wswitch reports a sixth enumerator added without a row at build time; the
runtime bounds guard it replaces is deleted.

The AudioTransformStream reason had a true premise and an overreaching
conclusion: an offline sep family could be buffered into a stream, as other
LocalAI backends do. It now says this backend declines to offer a buffered
offline call in disguise, rather than implying impossibility.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): make the missing-switch-case diagnostic fatal

unsupported_surface() switches UnsupportedRpc onto the table row that explains
it, with no default label, so -Wswitch reports an enumerator nobody handled. As
a warning that is not enough: adding a sixth enumerator and building the shipping
target gives exit 0, a binary and one warning, and the trailing
`return surfaces[0];` then answers the new RPC with AudioEncode's codec reason.
That is a confident, specific and false statement about audio.cpp on the wire, on
the one code path whose entire job is to be truthful about what this backend
cannot do, and it is worse than the runtime fallback it replaced, which at least
named itself as a bug in this file.

capability_routing.cpp therefore joins loaded_model.cpp on the existing
-Werror=switch pin, whose comment already made this argument for the engine enum.
The comment now covers both files. The pin stays per-file rather than
project-wide because upstream's own ace_step/vae_decoder.cpp has unhandled
-Wswitch cases of its own.

Verified: a sixth enumerator now fails `make grpc-server` with exit 2 and no
binary; appending a 14th VoiceTaskKind upstream still fails loaded_model.cpp, so
the two pins fire independently; both reverted clean.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): package the backend image

Bundles the dependency closure for the from-scratch image, the dlopened ggml
CPU-variant shared objects that ldd cannot see, and upstream's bundled
silero_vad and marblenet_vad assets so VAD works with no download.

The bundled loader sits in the package ROOT rather than at lib/ld.so. run.sh
execs it, which makes /proc/self/exe name the loader, and this backend has two
consumers of that path: ggml discovers the libggml-cpu-*.so by listing
dirname(/proc/self/exe), and resolve_model_path expands bundled:<name> under the
same directory. Rooting the loader makes the binary, the ggml objects and
assets/ share the one directory all three resolution mechanisms agree on.
llama-cpp's lib/ld.so layout would need assets/ moved into lib/ as well.

The image builds against apt gRPC and protobuf, like Dockerfile.ds4 and unlike
Dockerfile.privacy-filter. The from-source gRPC that install-base-deps.sh and
the base-grpc-* images supply vendors protobuf 26, which pulls abseil into
message_lite.h; with SPM_PROTOBUF_PROVIDER=package that collides with
sentencepiece's vendored mini-abseil and every absl::internal reference becomes
ambiguous. Noble's protobuf 3.21.12 predates the abseil dependency and is the
pair every earlier verification of this backend ran against.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): exempt the driver libraries from the packaging gate

package.sh already left libcuda.so* and libnvidia-* to the host when copying,
because the driver has to match the kernel module on whatever host runs the
image, but the validation gate had no matching exemption. With BUILD_TYPE=cublas
ggml is static and links CUDA::cuda_driver, so grpc-server carries DT_NEEDED
libcuda.so.1 and the gate would have rejected the very absence the copy loop
created, failing every cublas build in CI. One regex now feeds both.

Building a control for that found a second defect: ld.so --list refuses to trace
an object with an unresolvable dependency at all, exiting 127 without emitting a
per-library line, so the "=> not found" rule was dead code and no exemption could
have applied to it. The gate now traces with LD_TRACE_LOADED_OBJECTS and
LD_LIBRARY_PATH, which reports the missing name and exits 0, and which is also
what run.sh does at run time.

Adds a layout assertion so a future move of the loader into lib/ fails the build
instead of shipping a package that resolves bundled: models into lib/assets and
finds no ggml CPU backend, and records for Task 16 that the Darwin script must
not be a straight copy of privacy-filter-darwin.sh, which never calls package.sh
and would silently drop assets/.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): register the backend with CI and the gallery

Adds the five Linux matrix entries (cpu amd64/arm64 sharing a tag-suffix so the
manifest merge fires, cuda 12, cuda 13, vulkan), the path-filter case that keeps
later PRs touching backend/cpp/audio-cpp/ from getting zero CI jobs, the
bump-bot entry pointing at the AUDIO_CPP_VERSION pin in the backend Makefile,
the gallery meta plus its -development variant and the image entries for every
variant, and the Makefile docker-build wiring.

The matrix entries carry base-image only, with no builder-base-image, unlike
the llama-cpp and privacy-filter blocks they sit next to. The prebuilt
quay.io/go-skynet/ci-cache:base-grpc-* images ship a from-source gRPC whose
protobuf v26 depends on abseil, and this backend's sentencepiece is built with
SPM_PROTOBUF_PROVIDER=package, so it sees real abseil's absl::lts_20240116::
internal alongside its own vendored plain absl::internal and every
absl::internal:: reference becomes ambiguous. Building against base-grpc-amd64
fails at sentencepiece-static.dir/error.cc.o with "reference to 'internal' is
ambiguous". Dockerfile.audio-cpp installs apt's gRPC/protobuf 3.21.12 itself,
which is also the pair every unit and end-to-end run of this backend has been
verified against, and the CUDA toolkit therefore has to come from base-image.

No Darwin matrix entry and no metal gallery entries: the Metal build needs
scripts/build/audio-cpp-darwin.sh, a backends/audio-cpp-darwin make target and
a routing step in backend_build_darwin.yml, none of which exist yet, so an
entry added now would be routed to build-darwin-go-backend and look for
backend/go/audio-cpp/. The inferBackendPathDarwin case and the
DARWIN_BESPOKE_BUILDERS membership are in place, inert, so that adding the
entry later is a one-line change that cannot be claimed by the generic Go path.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): pin the CUDA architectures, drop the vulkan variant

Upstream sets CUDA_ARCHITECTURES to `native` on the engine_runtime target
whenever CMAKE_CUDA_ARCHITECTURES is unset at root scope, and docs/build/
linux.md says so outright. ggml's own default does not rescue it: it
list(APPEND)s in the ggml subdirectory scope, which never reaches the root
scope where the engine_runtime property is decided. No CI runner has a GPU for
`native` to enumerate, so both cublas entries would have gone red on the very
commit that first turns a CUDA build on.

Pin the list in backend/cpp/audio-cpp/Makefile, selected by CUDA_MAJOR_VERSION,
which Dockerfile.audio-cpp now forwards from the CI build-arg it was previously
discarding. The values are copied from ggml's own version guards rather than
invented, so engine_runtime and ggml compile for the same set: CUDA 12 keeps the
Maxwell/Pascal/Volta virtual archs and stops at 120a-real, CUDA 13 drops them
and adds 121a-real. The `a` suffix is used rather than `f` because the latter
needs CMake 3.31.8 and Ubuntu Noble ships 3.28.3. Verified by driving CMake
3.28.3's own CUDA architecture validator over both lists, with 120f-virtual as
the rejected control.

Drop the vulkan matrix entry, its two gallery entries, the vulkan capability
key on both metas and the Vulkan tag. Every other vulkan backend gets its Mesa
ICD drivers from .docker/install-base-deps.sh, which package-gpu-libs.sh then
bundles; Dockerfile.audio-cpp calls neither and installs only libvulkan-dev and
glslc, so the image would ship a Vulkan loader that finds no GPU. No CI job runs
a vulkan image against real hardware, so that would have passed green and failed
in users' hands. BUILD_TYPE=vulkan stays supported for local builds.

Also note on the cublas entries that cuda-major-version now selects the
architecture list and that cuda-minor-version and the base-image tag encode the
same toolkit, and correct the stale entry counts on matrixEntryKey.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): build for Darwin Metal

Bespoke C++ Darwin path like ds4 and privacy-filter: an includeDarwin matrix
entry, a backends/audio-cpp-darwin make target, a gated workflow step, and the
metal image entries plus metal/metal-darwin-arm64 capability keys in the
backend gallery.

The build script deliberately does NOT reassemble the package the way
privacy-filter-darwin.sh does. It runs the backend's own `make package` and
copies the result, so the Darwin package keeps the root-level layout the Linux
one has: grpc-server, run.sh, the ggml objects and assets/ in one directory,
with lib/ for the dylib closure. Hand-assembling would drop assets/, and
assets/ is what makes the bundled: model paths resolve with nothing downloaded.
The dylib walk is a full transitive closure rather than the single level ds4
and llama-cpp do, because Homebrew's grpc++ pulls libgrpc, abseil, upb, cares
and OpenSSL that grpc-server does not link itself, and a level-1 walk ships a
package that only works on a machine that already has Homebrew grpc.

Two fixes folded in, both in the backend Makefile:

  - an EMPTY CUDA_MAJOR_VERSION fell through to the CUDA 12 architecture list,
    which contains 120a-real and so needs nvcc >= 12.8. A local
    BUILD_TYPE=cublas build on a 12.0-12.7 host failed to compile where
    upstream's documented default (native) worked. EMPTY now maps to native,
    12 and 13 keep their lists, and any other non-empty value is an error on
    cublas builds. CI always passes a major, so CI is unaffected.

  - the Darwin branch now points CMake at Homebrew's keg-only libomp. AppleClang
    ships no OpenMP runtime and nothing is symlinked into /opt/homebrew, so
    FindOpenMP finds neither the library nor the header, and audio.cpp calls
    find_package(OpenMP REQUIRED) whenever ENGINE_ENABLE_OPENMP is on. Without
    the hint the macOS build would have died at configure time. If the keg is
    absent the build disables OpenMP instead of failing.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): make the Darwin fallbacks loud and the rpath walk complete

Review follow-up on the Darwin Metal build.

The OpenMP fallback was silent. If brew --prefix libomp ever comes back empty,
CI produced a green Metal package with 108 #pragma omp directives across ~30
files compiled out, and clang says nothing about an ignored omp pragma without
-Wsource-uses-openmp, so the only trace was one absent flag inside a set -x
cmake line. That regression would have been blamed on Metal. It now warns.

The @rpath arm of the dylib walk had no live candidate when it was written, on
the reasoning that a Metal build links ggml statically. The OpenMP fix in the
same commit made libomp.dylib one, and whether Homebrew records it as an
absolute opt path or as @rpath/libomp.dylib is not observable from Linux. The
walk now expands @rpath, @loader_path and @executable_path against the object's
own LC_RPATH entries, and only fails when nothing on disk answers, printing the
rpath list with the error so a failure on a machine nobody can attach to
explains itself.

Also: ADDITIONAL_LIBS now go through the closure rather than a bare cp, so they
are deduplicated and their own dependencies bundled; build/darwin/lib is
created explicitly instead of relying on package.sh pre-creating it; the libomp
probe uses nested ifneq rather than $(and ...), which needs GNU make 3.81 and
would otherwise expand empty and take the OFF branch on an older make; and
-DOpenMP_ROOT is quoted like its CUDA sibling.

Verified with a Linux harness that runs the script verbatim against a stubbed
otool: a level-2 transitive dep, an @rpath dep reachable only through LC_RPATH,
and an ADDITIONAL_LIBS dep are all bundled, a dependency cycle terminates,
system libraries are skipped, the packaged tree has assets/ at the root beside
grpc-server with the dylibs in lib/, and both failure paths exit non-zero.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): make bundled: reachable from a model YAML

resolve_model_path() tested the bundled: prefix on `candidate`, which prefers
ModelFile and falls back to Model. LocalAI fills ModelFile by joining ModelPath
onto the configured model string (pkg/model/loader.go, LoadModelWithFile), and
only sets it from a managed artifact otherwise, so a model YAML saying
`model: bundled:silero_vad` arrives as ModelFile "/models/bundled:silero_vad"
and Model "bundled:silero_vad". The prefix therefore never matched through the
normal load path: it matched only for a hand-written LoadModel call that left
ModelFile empty, which is exactly how task 15 verified it, and every model YAML
using the form failed with "model path does not exist:
/models/bundled:silero_vad".

Both fields are now checked, Model first, so the zero-download VAD path the
package ships assets for is reachable the way it is documented. A caller that
puts the form in ModelFile still works, so task 15's verification stands.

Compiled clean; the runtime check could not run on this host, whose system
libprotobuf/libre2 have gone missing (the pre-existing grpc-server binary no
longer resolves its libraries either), so it wants a container run.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): advertise the backend and document its options

Registers audio-cpp as preference-only in /backends/known: the family lives in
GGUF metadata that an importer cannot read from a remote repo, and one repo
hosts thirty families, so there is no honest auto-detect signal. Modality is a
single string and the import form chips on a fixed key set, so it registers as
tts with the other modalities named in the description rather than under an
invented key the UI would bucket as "other".

Adds a features page covering the option namespacing, the routing table per
endpoint, the RPCs this backend declines and why, the bundled VAD path, the
separation stem behaviour, and the family gotchas (supertonic needs the orig
package; chatterbox advertises cloning and no plain tts; nemotron_asr defers
its whole decode to finalize so live transcription emits nothing until the
client half-closes, unlike higgs_audio_stt and voxtral_realtime). Every option
name and family capability in it was read off the pinned upstream checkout.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* backend(audio-cpp): test resolve_model_path, and correct the family names

The bundled: fix in 842443cd7 shipped without a test, which is how the bug got
there: task 15 verified the form with a hand-written LoadModel that left
ModelFile empty, and that is the one shape the server never produces. Four cases
in streaming_driver_ctest, which already links loaded_model.cpp, pin the
PRODUCTION shapes instead. The first fails against the pre-fix source (returns
the joined /models/bundled:silero_vad); the other three are the branches the
bundled: lookup now runs in front of and must fall through for.

Three family names in the docs were the source directory rather than the
registered family, on pages whose whole argument is that these names cannot be
guessed: demucs is htdemucs (demucs/loader.cpp:22), roformer is
mel_band_roformer (roformer/assets.h:15), and moss is TWO families,
moss_tts_local and moss_tts_nano. The hyphenated ASR names are underscored to
match, here and in the compatibility table.

The supertonic dtype note claimed more than the evidence carries. The f16 abort
is a local observation, identical through TTS and TTSStream; upstream's
docs/gguf.md leaves the 16-bit column untested and records q8_0 as "No
(unsupported weight dtype)", which says unusable rather than fatal. Both are
still refused, because the allow list is what the family can run. Corrected in
family_gate.h, family_gate.cpp and the docs together, since the docs inherited
the wording from the code.

The importers tripwire says in the file that it is a tripwire: it exercises no
audio-cpp behaviour, and the registration assertion lives in backend_test.go.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* gallery: add audio.cpp models covering every served RPC

One representative model per RPC group of the audio-cpp backend, plus the two
bundled VAD models, which need no download at all because the assets ship
inside the backend package.

Every hash was computed with sha256sum on the downloaded file. Quantizations
come from upstream's tested-status table in docs/gguf.md rather than a default
of q8_0: supertonic ships the orig package (its q8_0 is recorded as an
unsupported weight dtype and its f16 aborts in ggml_concat), and nemotron_asr
and htdemucs ship f16 because their q8_0 builds are recorded with drift while
16-bit is a clean pass.

Diarization and separation use the diarization and audio_transform usecases,
not transcript: /v1/audio/diarization and /audio/transform filter the default
model on FLAG_DIARIZATION and FLAG_AUDIO_TRANSFORM respectively, so a
transcript flag would have hidden both models from their own endpoints. The
forced aligner sets parameters.language, which the transcription endpoint uses
as the fallback when no language form field is sent, because the family
requires both a transcript and a language.

All ten entries were run twice: once against the raw gRPC server, and once
installed with local-ai models install and called through the HTTP endpoint.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* gallery: correct the audio.cpp entries' licenses

Swept all ten entries against the real upstream named in audio.cpp's
tools/model_manager.py rather than against the audio.cpp repo's own license.
Three were wrong:

  supertonic   apache-2.0 -> openrail      weights come from
                                           mlx-community/supertonic-3-mlx, and
                                           both it and Supertone/supertonic are
                                           openrail
  citrinet     apache-2.0 -> other         pulled from NGC
                                           nvidia/nemo/stt_en_citrinet_256,
                                           governed by the NGC Terms of Use
  sortformer   other -> cc-by-nc-4.0       nvidia/diar_sortformer_4spk-v1 is
                                           CC BY-NC 4.0, and the gallery already
                                           uses that exact string, so there is no
                                           reason to obscure a non-commercial bar

The license field is one word, so citrinet and sortformer also gained a
sentence saying why they are restricted. The other seven were confirmed
correct against their sources.

Also drops an unverified claim from the nemotron description. It said the
model drives the realtime transcription session; that endpoint actually calls
TranscribeStream, and the live RPC reaches LocalAI only through
realtime_semantic_vad.go. Neither path was exercised here, so the description
now states only the two calls that were.

MarbleNet gains the NeMo upstream under urls: for parity with silero.

No sha256, quantization, usecase or model choice changed.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix(audio-transform): bound sample_rate, keep same-named uploads apart

Four defects the whole-branch review found on the Go side, plus two comment
corrections.

sample_rate is a disk-exhaustion hazard. The branch added the `form:` tag that
makes the field bind for the first time, so the resample path went from dead to
live, and utils.AudioResample interpolates the int straight into ffmpeg's -ar
with no bound. Measured with ffmpeg 7: -ar 999999999 on a 0.01 s clip writes
20 MB and exits 0, which scales linearly to the reported 3.9 GB for one second,
into a GeneratedContentDir nothing sweeps, and convertStems repeats it once per
separation stem. Clamped to 8000..192000 in the handler, before the temp dir and
before the model is touched, and rejected with a 400 outside it.

The low end was reported as "a 0-byte file". It is not: -ar 1 writes a 78-byte
header with no audio behind it, whose declared data size still claims 70 bytes,
so go-audio parses it as a 35 SECOND file and a size check does not see it. The
guard therefore compares the declared data chunk against the bytes actually on
disk, and AudioResample now fails rather than returning a WAV carrying nothing.

Both parts of a transform request land in one temp dir, and the raw copy was
named only after the client's basename, so `-F audio=@mic/clip.wav
-F reference=@loopback/clip.wav` wrote "raw-clip.wav" twice. Since
AudioToWavPreservingShape hardlinks an already-PCM16 WAV rather than copying it,
the reference part's os.Create truncated the inode audio.wav pointed at: mic and
reference came out identical, which makes an echo canceller null everything and
return near-silence with a 200. The raw copy now carries the form field name.

audio-cpp had no BackendCapabilities entry, so VoiceCloningForModel returned nil
before it ever consulted the model's tts.voice_cloning override and every
`voice: "profile:<id>"` request was refused with a 400, on a backend that ships
audio-cpp-chatterbox whose family serves cloning and not plain TTS. Registered
with its RPCs, usecases and the reference-audio contract, and deliberately
without the 16 kHz mono fold, which its separation families cannot survive.

GetBackendCapability was exact-match only, so every pinned gallery variant read
as an unknown backend: vulkan-localvqe lost the 16 kHz mono fold that used to be
unconditional and started failing inside LocalVQE, and the usecase gate does not
stand in for it because BuildFilteredFirstAvailableDefaultModel returns early
once the client names a model. Lookup now falls back to the meta name by
stripping the gallery's hardware prefix and release-channel suffix, exact match
first so nothing can be shadowed. Same class as #10945.

Also corrected: the AudioTransformRequest comment claimed echo's binder falls
back to the field name, which it does not in either direction (bindData binds
ONLY tagged fields and `continue`s otherwise; `model` arrives from
setModelNameFromRequest's c.FormValue). And the stable_audio `src` heap
corruption caveat now lives on ElevenLabsSoundGenerationRequest, where the Go
developer who would add the field can see it, instead of only in C++.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix(audio-cpp): refuse a task pin the RPC cannot serve, and stop empty frames holding the lane

The model's `task:` option is copied into the request shape by all nine
handlers, which is correct, but resolve_route then replaced the RPC's candidate
list with the pin WHOLESALE and never asked whether the pin was something that
RPC routes to. One pin therefore bled across all nine surfaces, and because the
family still supported the pinned task the result was a wrong 200 rather than an
error. Reproduced live: nemotron with task:asr made Vad return 200 with zero
segments after a full ASR decode, so 14 seconds of speech was reported as
silence, and Diarize did the same; silero_vad with task:vad made
AudioTranscription return 200 with empty text and four segments whose spans were
VAD segments, which combined with response_format in {text,srt,vtt,lrc} building
the body solely from Segments[].Text yields a well formed SRT of four timed
EMPTY cues. It also contradicted the documented contract, that a family which
cannot serve a request is refused rather than rerouted.

A pin is now checked against the RPC's admissible task set before it is adopted,
and the refusal names both the pin and the RPC. The set is derived from
task_candidates with every shape flag set rather than restated, so a task added
to an RPC's candidates cannot become inadmissible by omission. Every legitimate
pin survives, and the test asserts all fifteen of them alongside the eight
crossings that must not.

The live watchdog was defeated by empty frames. idle.touch() ran on ANY message,
before the has_audio and pcm.empty() filters, so a peer writing unset-oneof or
zero-length frames faster than the window held the lane indefinitely while
feeding the decoder nothing. There is one lane per model and one model per
process, so that is a single client denying the whole backend, which is what the
watchdog exists to prevent, and the thrown text already said "no audio frame
arrived". The touch moved below the filters, which are now a named predicate so
the distinction is testable rather than a call order nobody can see.

Three comments corrected against measurement rather than reasoning:

- CMakeLists claimed zero google::protobuf:: definitions remain in the
  executable. nm -C --defined-only reports 2515, and that is expected: they are
  generated code, sentencepiece::ModelProto's own _InternalParse among them. The
  claim that holds, and the one the ABI fix is actually about, is that no
  vendored protobuf RUNTIME is linked and ParseContext::ParseMessage is
  UNDEFINED in the executable, resolving to libprotobuf.so.
- refuse_cloning_without_a_clip's "cannot misfire" paragraph had its reasoning
  backwards. Routing picks VoiceCloning as the FALLBACK when there is no clip,
  which is the case being caught; chatterbox, which ships in the gallery,
  advertises clon and no tts at all, so every voice-less request lands there.
- audio_units read "2.1 min at 96 kHz" for index 11289602, which is 1.96 min.
  2.1 min is 96 kHz's OWN first failure at 12288002. Both were remeasured and
  the note is now a per-rate table.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* build(audio-cpp): exclude the upstream checkout from the C++ gate, harden the darwin walk

run-unit-tests.sh pruned */llama.cpp/* but not */audio.cpp/*. It is safe today
only by luck: upstream's 44 tests all put "test" at the FRONT of the filename
(17 test-*.cpp, 27 test_*.cpp, zero *_test.cpp), so the glob misses every one of
them, and nothing enforces that. This gate runs on every PR for every backend
and compiles each match as a standalone translation unit with nothing but
nlohmann/json on the include path, so the day upstream adds or renames one test
the gate goes red repo-wide on an Apache-2.0 file nobody here wrote.

audio-cpp-darwin.sh now logs the raw otool -L output and the parsed LC_RPATH
list unconditionally, before the walk. Both awk filters in that script assume a
column layout nobody working on this can observe, since it runs only on the CI
Mac, and a green first Darwin run proves nothing about the assumption: an awk
that silently matched nothing yields an empty dependency list, which reads
exactly like "no non-system dependencies" and packages happily. Both filters
otherwise feed process substitutions, so their input never reached the log.

It also lists every symlink in the package and fails on one that cannot resolve
inside the image. A dangling link does not fail anything else here, because
every assertion tests with -e, which follows links; it fails at dlopen on a
user's Mac. Links are NOT banned outright, which the review suggested but which
would break the libggml.dylib -> libggml.0.dylib chain the `cp -a` above exists
to preserve. What is banned is a link that resolves on the build host and will
not resolve in the image: a broken one, or an absolute one pointing outside the
package.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* style(audio-cpp): drop em dashes from the audio-cpp capability entry

Follow-up to a84b3c4b9, no behaviour change.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix(config): key the voice-cloning model rule on the resolved backend

Making GetBackendCapability strip the gallery hardware prefix and release
channel fixed pinned variants of /audio/transform, but VoiceCloningForModel
kept keying its per-backend switch on the caller's spelling. A pinned name
therefore resolved the capability by stripping and then missed every case in
the switch, falling through to the permissive default: cuda12-vibevoice-cpp
advertised voice cloning for the realtime 0.5B model, metal-coqui for
tacotron2, cuda12-crispasr for a pure ASR model, cpu-qwen3-tts-cpp for
CustomVoice. Each of those is a model that cannot clone, so /v1/audio/speech
accepted a profile: voice it had to fail on inside the backend rather than
rejecting it with a 400, and the UI advertised the capability too.

resolveBackendCapability now returns the key the entry was found under, and
callers that branch on backend identity use that key instead of the name they
were handed. The exact-match-first order is unchanged, so a backend genuinely
registered under a variant-looking name still keys on its own name.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-5 [Claude Code]

* gallery(audio-cpp): declare audio_transform on the chatterbox entry

Chatterbox advertises VoiceCloning AND VoiceConversion
(src/models/chatterbox), and the entry's own description already said so, but
known_usecases listed only tts. /audio/transform selects its default model by
FLAG_AUDIO_TRANSFORM, so voice conversion was reachable only by naming the
model explicitly and was invisible to every usecase-driven surface. It is the
one audio.cpp task with a shipped gallery model and no way to find it.

Verified against the real model rather than inferred from the capability list:
AudioTransform with chatterbox-q8_0, speech as audio_path and a speaker clip
as reference_path, returns a 5.08 s 24 kHz mono WAV at -25.5 dB mean and zero
stems, which is the single-output shape voice conversion should have.

The description now says which endpoint reaches that half and warns that
installing this next to a source-separation model gives /audio/transform two
candidates, so the model should be named rather than defaulted.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-5 [Claude Code]

* gallery(audio-cpp): add voice-design and singing-voice-conversion entries

Two of the three audio.cpp task kinds that had no gallery model now have one.
Both were driven end to end against the real weights through the backend
before being written, not inferred from the capability tables.

audio-cpp-irodori-voicedesign covers vdes. TTS carrying `instructions` routes
to the vdes task, so the voice is described in words rather than supplied as a
clip. Verified: "a calm elderly woman speaking slowly with a warm, gentle
tone" over an 8.76 s 48 kHz mono render at -16.8 dB mean, and a closed-loop
citrinet pass recovers the sentence with the accent drift expected from a
Japanese-first model read by an English recogniser.

audio-cpp-seedvc-singing covers svc, and pins task:svc because nothing else
can reach it. seed_vc advertises svc and ordinary voice conversion, no request
signal means "this input is singing", and auto-routing resolves the tie to
voice conversion every time. Verified with the pin: 5.04 s 44.1 kHz output
whose closed-loop citrinet transcription is exact.

s2s deliberately has no entry, and the reason is not effort. miocodec is the
only upstream family whose speech-to-speech route needs no text, and it
returned audio with correct duration and level but no recoverable speech in
four independent attempts: the stale build, v2 q8_0, v2 orig (the variant
upstream records as a clean Pass), both tasks, and matched 44.1 kHz inputs on
both sides. vevo2's route refuses with "Vevo2 text/prosody route requires
text_input or target_text", and session.cpp:897 fills target_text only from
request.text_input, which AudioTransform has no field to carry. The same
vevo2 weights convert voice correctly through the default route with an exact
ASR round trip, so the model and the plumbing are both healthy; it is the s2s
route specifically that this RPC cannot express.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-5 [Claude Code]

* backend(audio-cpp): carry transform text through params, add the s2s entry

AudioTransform is audio-in / audio-out and its proto message has no text
field, but not every task it routes to is audio-only. vevo2's speech-to-speech
route is a text and prosody route: session.cpp:897 fills refs.target_text from
request.text_input and nowhere else, and the run refuses without one with
"Vevo2 text/prosody route requires text_input or target_text". The params map
is the only channel this RPC has that reaches the engine, so the text travels
through it and apply_transform_text_input unpacks it after the params have
been copied into task.options.

Before this, s2s was not awkward to reach through /audio/transform, it was
unreachable, and it was the last audio.cpp task kind with a real model and no
way to get to it.

target_text is canonical and text is its alias, the order vevo2's own option
table declares them in, so a request setting both gets the canonical one
rather than whichever the map happened to store first. An empty value falls
through to the next candidate instead of ending the search. language rides
along only when a text was found: on its own it conditions nothing, and
manufacturing a text_input for it would route a plain separation request
carrying a language hint through the text path. The keys are left in
task.options rather than erased, because vevo2's loader advertises target_text
as a request option and a family reading it there keeps working.

Nine tests, all confirmed failing on behaviour against a stub that returned
false before the implementation was written. Verified end to end afterwards:
vevo2-q8_0 with task:s2s and params[text] returns a 5.12 s 24 kHz output whose
closed-loop citrinet transcription is exact, and htdemucs separation with no
text param still returns its four stems, with and without params[stem].

audio-cpp-vevo2-speech-to-speech ships that route. Every audio.cpp task kind
with a loadable family now has a gallery entry; spk remains the only gap and
has no family upstream at all.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-5 [Claude Code]

* docs(audio-cpp): document params[text] and the pinned transform tasks

The text channel and the two task pins are both invisible from the endpoint
contract alone: nothing in the AudioTransform form tells a reader that a
speech-to-speech model needs the line it is resynthesising, and nothing says
that asking for singing voice conversion without task:svc silently gets plain
voice conversion instead. Both are the kind of thing a user only discovers
from a refusal or, worse, from output that looks right and is not.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-5 [Claude Code]

* fix(utils): annotate the two G304 sites this branch introduced

gosec flags os.Open on a variable path, and both new call sites in ffmpeg.go
are its alerts on this PR. Neither is reachable by an outside caller: isPCM16Wav
opens the exact path it is about to hand ffmpeg as input, which in the upload
path is a server-created temp file named from path.Base of the client name so
no traversal survives, and wavAudioBytes opens AudioResample's own dst, a name
this package derives from src and has just had ffmpeg write.

Annotated in the repo's existing style rather than restructured, with the
reason spelled out, because a bare suppression is worth nothing to the next
reader. The three other G304 sites in this file, in passthroughWAV and
isTargetWav, predate the branch and are left untouched.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-5 [Claude Code]

* fix(audio-cpp): build arm64 with gcc-14 for the armv9.2 SME variants

The arm64 CPU image failed to build:

  cc1: error: invalid feature modifier 'sme' in
       '-march=armv9.2-a+dotprod+fp16+sve+i8mm+sve2+sme'

ggml's CPU_ALL_VARIANTS table includes armv9.2 variants compiled with +sme, and
Ubuntu Noble's default gcc-13 rejects that feature modifier. Every entry in the
table has to compile even though a host only ever dlopens the one its own CPU
supports, so a single unbuildable variant fails the whole image. gcc-14 accepts
it, which is exactly the fix llama-cpp already carries in
.docker/llama-cpp-compile.sh; this is the same problem reached by a different
Dockerfile.

Applied to every arm64 BUILD_TYPE rather than to the CPU one alone, and that
differs from llama-cpp on purpose. llama-cpp needs it only for its pure-CPU
image because its GPU builds run llama-cpp-fallback, which builds no variant
table. This backend's Makefile turns ENGINE_ENABLE_CPU_ALL_VARIANTS on for
every non-Darwin build, GPU included, so an arm64 GPU image would hit the
identical error. The matrix has no arm64 GPU entry today, which is precisely
why gating on an empty BUILD_TYPE would leave the trap armed for whoever adds
the first one.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-5 [Claude Code]

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-30 12:11:56 +02:00
mudler's LocalAI [bot]
7d8e0bac18 fix(model): deterministic, type-filtered backend auto-detection (#9287) (#10286)
* fix(model): deterministic, file-type-filtered backend auto-detect (#9287)

When a model config declares no explicit `backend:`, Load() fell into a
trial loop built by ranging the external-backends Go map (random order)
with no filtering, returning the first backend whose gRPC LoadModel
succeeded. An unrelated installed backend - e.g. the "opus" audio codec -
could therefore win a GGUF/LLM model load, so a model that should run on
llama.cpp wrongly tried to use opus.

Extract the candidate selection into a pure, testable function
SelectAutoLoadBackends that:

  - sorts the candidate list deterministically (no more map-order
    nondeterminism), and
  - for a `.gguf` model, filters to LLM-capable backends (via
    core/config.BackendCapabilities) and puts llama-cpp first, so an
    incompatible audio/codec/image backend can never win the trial loop.

If filtering would leave zero candidates, the full sorted set is returned
unchanged, so a previously-loadable model is never made unloadable.

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>

* fix(model): break core/config <-> pkg/model import cycle in backend auto-detect

The #9287 auto-detect change made pkg/model/autoload.go import core/config
for the backend capability table. core/config already imports pkg/model
(runtime_settings_registry.go uses model.DefaultWatchdogInterval), so this
closed a core/config -> pkg/model -> core/config import cycle and broke the
build and golangci-lint.

Invert the dependency so the lower-level pkg/model no longer imports the
higher-level core/config. pkg/model exposes RegisterLLMCapableBackendFunc and
uses the registered predicate; core/config (which owns the capability table)
registers it from an init(). The deterministic, GGUF-type-filtered selection
behaviour is unchanged. When the predicate is unwired the GGUF filter is
skipped, preserving the existing zero-candidate fallback.

The unit test now injects a fake capability predicate so SelectAutoLoadBackends
is exercised independently of the core/config table.

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>
Co-authored-by: localai-org-maint-bot <bot-opensource@localaisrl.com>
2026-07-30 12:07:47 +02:00
Tai An
37f2087f97 fix(grammars): reject cyclic $ref in JSON-schema grammar to prevent stack-overflow crash (#11020) (#11041)
* fix(grammars): reject cyclic $ref in JSON-schema grammar to prevent stack-overflow crash

JSONSchemaConverter.visit resolved $ref entries by recursively calling
itself with no cycle detection. A client-supplied grammar_json_functions
schema whose $defs contains a self- or mutually-referential $ref (e.g.
{"A": {"$ref": "#/$defs/A"}}) made visit recurse until the goroutine
stack was exhausted, producing a fatal "stack overflow" that kills the
whole process rather than failing the single request. The schema is
converted synchronously in the /v1/chat/completions handler before any
backend call, so this is an unauthenticated remote crash. Fixes #11020.

Track the $ref targets currently on the recursion stack and error out
when one is re-entered, while popping after each descent so sibling
(non-cyclic) reuse of the same $ref is still allowed.

Signed-off-by: Tai An <antai12232931@outlook.com>

* fix(grammars): add a bounded recursion depth and cover llama31 $ref cycles

Addresses the review on #11041. The stack-set approach catches cyclic
$ref chains, but a deeply nested yet acyclic client schema (thousands of
nested arrays/objects) can still recurse through visit until the
goroutine stack is exhausted, which is the same unauthenticated remote
crash surface as #11020.

- Add a bounded depth counter to JSONSchemaConverter.visit (incremented
  with a defer-based cleanup, capped at maxSchemaDepth = 256, far above
  any realistic schema) so an over-deep schema fails the request with an
  ordinary error instead of crashing the process.
- Apply the same cyclic-$ref guard and depth bound to
  LLama31SchemaConverter.visit, the other production grammar entry point
  named in #11020, which previously had no cycle detection at all.
- Regression tests: a deeply nested acyclic schema is rejected while a
  moderately nested one still builds, plus direct/indirect $ref cycle
  and depth tests for the llama31 converter.

Signed-off-by: Tai An <antai12232931@outlook.com>

* test(grammars): make llama31 cycle fixtures valid function-call shapes

The two new llama31 $ref-cycle specs asserted on "cyclic $ref" but the
converter requires each top-level oneOf alternative to carry its
function-name property before descending, so both fixtures failed
earlier with "no function name found in the schema" and never reached
the cycle guard.

Give each fixture a valid llama31 shape: construct the converter with
NewLLama31SchemaConverter("function"), put "function": {"const": "test"}
on the top-level alternative, and hang the cyclic $ref under an
arguments property, so all 29 grammar specs pass and the assertions
genuinely observe the cyclic $ref error.

Signed-off-by: Tai An <antai12232931@outlook.com>

---------

Signed-off-by: Tai An <antai12232931@outlook.com>
Co-authored-by: localai-org-maint-bot <bot-opensource@localaisrl.com>
2026-07-30 12:06:17 +02:00
mudler's LocalAI [bot]
c5ae41a29d chore: ⬆️ Update ikawrakow/ik_llama.cpp to 6647db9c27760044950fd6f99060456ae3d15df3 (#11204)
⬆️ Update ikawrakow/ik_llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-30 11:23:57 +02:00
mudler's LocalAI [bot]
d225e15f0f fix(ci): skip the image and Go PR workflows on content they cannot see (#11218)
backend_pr.yml and test-extra.yml already filter themselves, so a gallery-only
or docs-only PR costs them about one job each. The image and Go workflows had no
filter of any kind, so a one-line gallery/index.yaml edit queued 20 jobs: 7
container image builds, 3 GoReleaser/darwin launcher builds, 3 unit test jobs, 2
golangci-lint, 1 e2e, 1 yamllint, plus the 3 that correctly stop after their
detect step. A docs-only PR queued the same.

This matters more than the job count suggests. Measured over the week to
2026-07-30, 97% of CI wall-clock is queueing and 3% is execution: a median
5-hour queue against a 4-20 minute median job. Cutting job count is the only
lever that shortens feedback time. The volume is there to cut, too: 13
gallery-only PRs merged that week with 10 open at once, and 78 of the 137 PRs
opened were bot-generated.

Add paths-ignore for gallery/**, docs/**, examples/** and **/*.md to the
pull_request trigger of image-pr.yml, build-test.yaml and tests-e2e.yml, and
add gallery/** to lint.yml, which already excluded the rest. That drops 13 of
the 20 jobs. None of the four can observe such a diff: gallery metadata is
parsed at runtime and never copied into an image, docs and markdown never enter
one at all, GoReleaser and the launcher take no such input, the e2e suite drives
backends over gRPC directly, and golangci-lint runs new-from-merge-base so a
diff with no touched Go lines is a no-op. The build-test exclusion also frees
macOS capacity, which is the scarcest runner class.

The two checks that do validate the gallery are deliberately left alone.
test.yml still runs core/gallery/variants_lint_test.go, which reads the real
gallery/index.yaml and asserts the index invariants, and yaml-check.yml still
lints the syntax.

paths-ignore skips a run only when every changed file matches, so a PR touching
the gallery and Go code still runs everything. master carries no branch
protection and no rulesets, so a skipped workflow reports no status and nothing
waits on it; .agents/ci-caching.md records that constraint for whenever required
status checks are introduced.

image.yml on master push is left unfiltered on purpose: skipping it would stop
the master and latest tags being republished for a gallery commit, which is a
publishing decision rather than a cost one.


Assisted-by: Claude:opus-5 [claude-code]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-30 11:22:44 +02:00
localai-org-maint-bot
d6d9f899d6 gallery: add Nanbeige4.2 3B GGUF variants (#11170)
* gallery: add Nanbeige4.2 3B GGUF variants

Add Q4_K_M and Q8_0 builds of the compact Nanbeige4.2 agentic and reasoning model, grouped as install-time variants.

Assisted-by: Codex:gpt-5

* gallery: simplify Nanbeige4.2 model name

Apply the maintainer-requested canonical model name while retaining the quantization variants under the entry.\n\nAssisted-by: Codex:gpt-5

---------

Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-07-30 11:07:32 +02:00
localai-org-maint-bot
c5a7d394a5 gallery: add Laguna XS 2.1 GGUF variants (#11202)
Add the official Q4_K_M build and seven APEX quality and size variants for llama.cpp.

Assisted-by: Codex:gpt-5 [Hugging Face API]

Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-07-30 11:05:32 +02:00
localai-org-maint-bot
4b917936ef gallery: add Mellum2 Instruct GGUF variants (#11211)
Assisted-by: Codex:gpt-5

Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-07-30 11:04:17 +02:00
mudler's LocalAI [bot]
aaec1d695e chore(model-gallery): ⬆️ update checksum (#11210)
⬆️ Checksum updates in gallery/index.yaml

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-30 10:33:59 +02:00
Dimitris Karakasilis
c6c347ce13 feat(stablediffusion-ggml): make VAE tiling configurable (#11216)
GenerateImage hardcoded TilingParamsSetEnabled(vaep, false), so tiled VAE
decoding was unreachable from a model config even though all four upstream
setters were already bound in main.go.

Sampling runs in latent space, but the final VAE decode expands to full
resolution and needs one large compute buffer. At 1024x1024 that buffer
exceeds 8GB, which fails on two kinds of device: cards without the VRAM
for a full-frame decode, and drivers that cap a single allocation
regardless of how much memory is free. Mesa RADV reports a 4GiB
maxMemoryAllocationSize, so a Radeon 8060S with 74GiB of device-local
heap still cannot serve that decode:

    [INFO ] sampling completed, taking 251.82s
    [INFO ] decoding 1 latents
    ggml_vulkan: Requested buffer size exceeds device buffer size limit:
                 ErrorOutOfDeviceMemory
    [ERROR] vae: failed to allocate the compute buffer
    [ERROR] decode_first_stage failed for latent 1

Every sampling step completes and then the run is discarded at the last
stage, so the whole generation is wasted.

Add three options, parsed in Load and applied per generation:

    vae_tiling:true            enable tiled decoding (bare flag also works)
    vae_tile_size:512          tile size, or 512x384 for a rectangle
    vae_tile_overlap:0.25      overlap between tiles

Tiling stays off unless requested, so existing models are unaffected. Tile
size and overlap only reach the library when the operator set them, which
keeps upstream's defaults rather than pushing a zero, and an unparseable
value is treated as absent for the same reason.

Truthy spellings match what load_model already accepts for its own bool
options, and the bare-flag form matches diffusion_model, so no new
convention is introduced.

Signed-off-by: Dimitris Karakasilis <dimitris@karakasilis.me>
2026-07-30 10:33:31 +02:00
localai-org-maint-bot
c10460d4de gallery: add Fara 1.5 27B GGUF variants (#11217)
Assisted-by: Codex:gpt-5 [web]

Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-07-30 10:23:22 +02:00
Ching
43b6ed2018 feat: add CAJAL gallery model (#9879)
Add the CAJAL GGUF gallery template and gallery index entry for local llama-cpp installs.

Assisted-by: Codex:gpt-5

Signed-off-by: Ching Kao <0980124jim@gmail.com>
Co-authored-by: localai-org-maint-bot <bot-opensource@localaisrl.com>
2026-07-30 09:57:31 +02:00
ResearchForumOnline
7a7ebb5c2f add OpenZero Zero GGUF models to gallery (#11138)
Signed-off-by: ResearchForumOnline <116322650+ResearchForumOnline@users.noreply.github.com>
Co-authored-by: localai-org-maint-bot <bot-opensource@localaisrl.com>
2026-07-30 09:47:38 +02:00
ghshhf
5b9aa02900 fix(ci): skip security scan on forks to avoid SARIF upload permission error (#10323)
The Security Scan workflow was failing on fork PRs because the workflow
does not have permission to upload SARIF files to the GitHub Security tab
when running from a fork.

This change adds '!github.repository.fork' checks to all steps
to prevent the workflow from running on fork repositories.

This fix should be applied to the main repository so that
all forks inherit the correct configuration.

Fixes #10322, #10318, #10320, #10321

Co-authored-by: ghshhf <ghshhf@users.noreply.github.com>
2026-07-30 09:42:48 +02:00
localai-org-maint-bot
5f055a407c gallery: add POCKET-35B GGUF variants (#11197)
Assisted-by: Codex:gpt-5

Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-07-30 09:02:44 +02:00
Dimitris Karakasilis
d27c5e82ea Fix use case for video model (#11214)
Signed-off-by: Dimitris Karakasilis <dimitris@karakasilis.me>
2026-07-30 08:57:09 +02:00
Tai An
efb43776ba fix(chatterbox): pin cublas12 torch/transformers and setuptools so the backend loads (fixes #11070) (#11074)
fix(chatterbox): pin cublas12 torch/transformers and setuptools so the backend loads

The cuda12-chatterbox gallery backend fails to load on a fresh install
because several deps in requirements-cublas12.txt are unpinned:

- torch/torchaudio: unlike requirements-cublas13.txt and
  requirements-cpu.txt, this file has no --extra-index-url, so pip pulls
  a wheel whose CUDA runtime (cu130) is newer than the host driver
  supports ("NVIDIA driver on your system is too old"). Add the cu124
  index and pin torch/torchaudio 2.6.0+cu124.
- transformers: resolves to 5.x, which dropped LlamaConfig.rope_theta
  that chatterbox-tts 0.3.1's T3 config still reads. Cap to <5.
- setuptools: 81+ dropped pkg_resources, which perth imports under a
  bare try/except and silently sets PerthImplicitWatermarker=None,
  making ChatterboxTTS.__init__ raise 'NoneType' object is not callable.
  Cap to <81 in requirements.txt.

Fixes #11070

Signed-off-by: Tai An <antai12232931@anaiguo.com>
Co-authored-by: Tai An <antai12232931@anaiguo.com>
Co-authored-by: localai-org-maint-bot <bot-opensource@localaisrl.com>
2026-07-30 00:23:45 +02:00
mudler's LocalAI [bot]
d8a1e3c2e4 fix(realtime): echo response.metadata on response.created and response.done (#11198)
response.create accepts a metadata map and ResponseCreateParams has carried
the field all along, but triggerResponse never copied it onto the Response it
emits, so both terminals went out with metadata omitted.

That field is the only thing tying a terminal event back to the
response.create that asked for it. Our own doc comment on ResponseCreateEvent
says so — "the metadata field is a good way to disambiguate multiple
simultaneous Responses" — and it is what makes an out-of-band response
(conversation: "none") usable at all: a client running one alongside the
spoken conversation has no way to tell its own answer from the conversation's,
so it waits for a reply it already received and gave away.

Found from the client side: a headless text turn injected into a live session
was answered correctly in about a second, and the caller still blocked until
its own two-minute timeout because it could not recognise the answer.

Carry the map on liveResponse so all three terminals (in_progress, cancelled,
completed) report it, and leave it omitted when response.create sent none.

Assisted-by: Claude:claude-opus-5 gofmt

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-29 23:17:31 +02:00
localai-org-maint-bot
9bfd71387b feat(stores): add Valkey Search vector store backend (#11196)
* feat: add Valkey Search vector store backend

Add a new built-in Go gRPC store backend 'valkey-store' that implements the
four Stores RPCs (Set/Get/Delete/Find) against the Valkey Search module (FT.*)
using the pure-Go github.com/valkey-io/valkey-go client. It is selected via the
existing per-request 'backend' field on /stores, so there is no proto or HTTP
API change, and it mirrors the in-memory local-store while adding persistence
across restarts and opt-in HNSW.

Each vector is a Valkey HASH keyed by hex(little-endian float32); the index is
created lazily on first Set (FLAT+COSINE by default), cosine similarity is
derived as 1-distance, and namespaces get a collision-resistant token. Includes
unit tests (valkey-go mock) and env-gated integration tests against
valkey/valkey-bundle, plus build/matrix/gallery wiring and docs.

Assisted-by: Kiro:claude-opus-4.8 golangci-lint
Signed-off-by: Daria Korenieva <daric2612@gmail.com>

* Address review feedback: recover persisted index dimension, harden Find

- Load now recovers the persisted vector DIM from FT.INFO (not just index
  existence), so a post-restart Set/Find validates against the real DIM
  instead of silently re-learning a wrong one and dropping mismatched
  vectors from the index. This also restores Find's dimension check after
  a restart.
- StoresFind treats a dropped/missing index as an empty store (empty
  result, no error) and clears the stale indexCreated flag, matching
  local-store's empty-store behaviour.
- StoresSet reuses checkDims for its per-key length check so the four RPCs
  share one dimension-guard implementation.
- Add unit tests for FT.INFO dimension recovery, loadIndexState, and the
  dropped-index Find path.

Assisted-by: Kiro:claude-opus-4.8
Signed-off-by: Daria Korenieva <daric2612@gmail.com>

* Address review feedback: TLS ServerName/CA, Find nil-check, config fail-fast

Addresses external review comments on the valkey-store backend:

- StoresFind now rejects a nil/empty query Key before dereferencing it,
  so a malformed gRPC request can no longer panic the backend.
- TLS: derive ServerName (SNI) from the VALKEY_ADDR host so certificate
  verification works for IP-addressed endpoints, and add VALKEY_TLS_CA_CERT
  (custom CA bundle) and VALKEY_TLS_SKIP_VERIFY (testing-only) knobs.
- Config integer parsing now fails fast on a malformed value (e.g.
  VALKEY_HNSW_M=1x6) instead of silently defaulting, matching the
  fail-fast behaviour of the index-algo/distance-metric validation.
- Add VALKEY_DB (SELECT n) support for logical-DB isolation.
- Cap the human-readable part of a namespace token at 64 chars so a very
  long model name cannot produce an unbounded key prefix / index name
  (the appended short hash keeps distinct namespaces collision-free).
- Document the KNN-query injection-safety invariant (fields are constants)
  and why StoresGet uses a single aggregate DoMulti deadline for reads.
- Unit tests for the Find nil/empty-key guard, fail-fast HNSW parsing,
  and VALKEY_DB parsing/validation; docs + .env updated for the new vars.

Assisted-by: Kiro:claude-opus-4.8 golangci-lint
Signed-off-by: Daria Korenieva <daric2612@gmail.com>

* Address review feedback: configure valkey-store via model config

richiejp asked that the valkey-store backend take its configuration from
a model config rather than process-wide VALKEY_* environment variables,
so multiple stores can each have their own Valkey config within one
LocalAI process. This removes every env access from the backend and
routes config through the model-config seam every other backend uses.

- config.go: loadConfig(opts *pb.ModelOptions) now parses the model
  config `options:` list (key:value strings, split on the first ':')
  instead of os.Getenv. Option keys mirror the old VALKEY_* names without
  the prefix (addr, index_algo, distance_metric, ...). Defaults, fail-fast
  validation and the mandatory client name are unchanged.
- store.go: Load threads opts into loadConfig; TLS comments/errors renamed
  off the VALKEY_* names.
- core/backend/stores.go: StoreBackend and NewVectorStore take a
  *config.ModelConfigLoader, resolve the per-store ModelConfig by store
  name, and pass its Options (and Backend when unset) to the backend via
  WithLoadGRPCLoadModelOpts. No config -> default backend + built-in
  defaults, preserving the zero-config experience.
- Endpoints/routes/application: thread the config loader to StoreBackend.
- Unit + integration tests: configure via options; the integration test
  passes addr through the model-config path (VALKEY_ADDR is now only the
  test harness locating the server).
- docs + .env: document the model-config options, drop the env var table.

Assisted-by: Kiro:claude-opus-4.8
Signed-off-by: Daria Korenieva <daric2612@gmail.com>

* Remove valkey-store informational comment from .env The backend is configured via model config, not env vars — the comment was unnecessary noise in .env. The configuration is already documented in docs/content/features/stores.md.

Signed-off-by: Daria Korenieva <daric2612@gmail.com>

* feat(valkey-store): gate Load on NamespacePrefix to refuse autoload probing Mirror local-store's pattern: reject model names without store.NamespacePrefix so the model loader's greedy autoload probe cannot bind an arbitrary model name to the vector store backend (the #9287 failure mode). Also adds unit tests for the gate covering: prefixed namespace, prefix alone, unprefixed model name, empty model, and nil opts.

Signed-off-by: Daria Korenieva <daric2612@gmail.com>

* feat(valkey-store): add username_env/password_env credential indirection Add support for resolving Valkey credentials from environment variables named in the model config, mirroring cloud-proxy's api_key_env pattern. This keeps secrets out of model YAML files and lets distinct store configs each reference their own credentials. Options: username_env / password_env name the env var holding the value. The direct username / password options still work and take precedence when both are set (backward compatible). Includes 5 unit tests and updated stores.md documentation.

Signed-off-by: Daria Korenieva <daric2612@gmail.com>

* fix: correct rebase artifacts in backend-matrix.yml and Makefile Fix two issues introduced by the conflict-resolution script during the rebase onto master: 1. .github/backend-matrix.yml: valkey-store entries were merged INTO the cloud-proxy entries (duplicate keys in same YAML map items) instead of being separate list items. This broke cloud-proxy Linux builds and the cloud-proxy darwin entry lost its build-type/lang. Fixed by making them standalone entries and restoring cloud-proxy exactly as on master. 2. Makefile: duplicated .NOTPARALLEL and docker-build-backends lines. Collapsed to single lines that are master's current content plus the valkey-store additions. Also adds the three optional pickups from #10801: - /valkey-store in .gitignore (the built binary) - valkey-store row in docs/content/reference/compatibility-table.md - valkey-store line in backend/README.md

Signed-off-by: Daria Korenieva <daric2612@gmail.com>

---------

Signed-off-by: Daria Korenieva <daric2612@gmail.com>
Co-authored-by: Daria Korenieva <daric2612@gmail.com>
2026-07-29 20:12:29 +02:00
walcz-de
2f33d6dee0 docs(gpu): add ROCm 7.x and RDNA 3.5 / Strix Halo (gfx1151) to GPU acceleration guide (#9229)
* docs(gpu): add gfx1151 / ROCm 7.x and fix ROCm section

- Fix typo: "deditated" → "dedicated", "ROCm6" → "ROCm"
- Add ROCm 7.x to requirements (alongside ROCm 6.x)
- Add Ubuntu 24.04 to tested OS list
- Add AMD Strix Halo / gfx1151 section with kernel params,
  required env vars (HSA_OVERRIDE_GFX_VERSION, ROCBLAS_USE_HIPBLASLT),
  and Docker Compose example
- Add gfx1151 to the list of compiled GPU targets
- Add ROCm version column to verified devices table
- Add gfx1151 / Radeon 8060S (ROCm 7.11.0) as verified device

* fix(docs/gpu): correct gfx1151 section — env vars, image tag, safety warning

- Add all 4 required env vars (HSA_OVERRIDE_GFX_VERSION, ROCBLAS_USE_HIPBLASLT,
  HSA_XNACK=1, HSA_ENABLE_SDMA=0) with descriptions in a table
- Fix Docker Compose example to use the ROCm 7.x image tag (-gpu-hipblas-rocm7),
  not the ROCm 6.x image
- Add explicit warning: GGML_CUDA_ENABLE_UNIFIED_MEMORY must NOT be set
  (even =0 activates hipMallocManaged due to getenv != nullptr check)
- Add --force-recreate note (docker restart does not update container env)
- Add tested hardware note (Geekom A9 Mega / Ryzen AI MAX+ 395)

* docs(gpu): single ROCm image — drop -rocm7 tag suffix

Per maintainer feedback on PR #9229: there is only one ROCm/hipblas
main image, and it ships with ROCm 7.x by default — no separate
-rocm7 tag.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-07-29 20:09:52 +02:00
localai-org-maint-bot
ecdb32193d docs(proxy): cover long inference timeouts (#11065)
Document the reverse-proxy settings needed for long-running and multimodal requests, and distinguish edge-generated 504 responses from the optional LocalAI busy watchdog.

Assisted-by: Codex:gpt-5 [Codex]

Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-07-29 16:37:03 +02:00
Richard Palethorpe
9058a2bb46 feat: Add 3d generation UI/API and trellis2cpp backend (#10979)
* feat(3d): add Generate3D RPC, FLAG_3D capability, and /v1/3d/generations endpoint

Adds the plumbing for image-conditioned 3D asset generation (binary
glTF / GLB output), modeled on the video generation path:

- backend.proto: Generate3D RPC + Generate3DRequest (staged image src,
  glb dst, seed/step/cfg_scale/texture_steps, quality and background
  enums, params map for backend-specific extras)
- pkg/grpc: thread Generate3D through client, server, embed, base and
  the backend interfaces; connection-evicting and distributed-node
  wrappers (in-flight tracking + file staging) included
- core/config: FLAG_3D usecase (guessed only for the trellis2cpp
  backend), '3d' canonical usecase string mapped to the Generate3D
  method, and a '3d' output modality
- REST: POST /v1/3d/generations (+ unversioned alias) returning
  OpenAIResponse with a /generated-3d URL or b64_json; conditioning
  image accepted as URL, base64, or data URI; quality/background
  validated at the edge; .glb served as model/gltf-binary
- auth: '3d' route feature (default ON); /api/instructions entry

Assisted-by: Claude:claude-fable-5 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>

* feat(trellis2cpp): add the trellis2.cpp image-to-3D backend

Wraps localai-org/trellis2cpp (C++/GGML port of Microsoft TRELLIS.2,
pbr-textures branch) as a Go+purego backend, following the
stablediffusion-ggml pattern:

- backend/go/trellis2cpp: purego bindings to the flat C ABI (v9,
  asserted at startup), eager pipeline load with model-set validation
  (refuses non-trellis GGUFs; degrades coarse/geometry-only/textured
  exactly like the upstream demo), Generate3D via t2_generate +
  t2_bake_glb writing a binary glTF to dst. Weight-free unit tests
  cover resolution/validation/param mapping — CI never downloads the
  multi-GB GGUF set or runs inference.
- CPU SIMD variants build into per-variant directories (the shared
  libggml sonames collide across variants, unlike sd-ggml's flat
  renamed-.so scheme); run.sh picks one via /proc/cpuinfo.
- CI wiring: backend-matrix entries (cpu, cuda12/13, vulkan
  amd64+arm64, l4t, l4t-cuda13, darwin metal), index.yaml meta +
  latest/master image entries, bump_deps tracking of the pbr-textures
  branch, changed-backends.js mapping, top-level Makefile targets.
- Importer: auto-detects trellis GGUF repos/URIs (registered before
  llama-cpp so the .gguf match isn't stolen) and expands any trellis
  URI to the full 10-file component set spanning the three LocalAI-io
  HF repos.
- Gallery: trellis2-4b (full PBR + 1024 cascade) and
  trellis2-4b-geometry (512 untextured) with verified sha256s.

Assisted-by: Claude:claude-fable-5 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>

* feat(ui): 3D generation page with native GLB viewer and IndexedDB history

Adds a Studio tab + /app/3d page for the new image-to-3D endpoint:

- GlbViewer ports the trellis2cpp demo's dependency-free WebGL2
  renderer (quaternion trackball, metallic-roughness PBR, ACES,
  hidden-line wireframe with a bounded index budget) and pairs it with
  a minimal GLB parser for the two forms t2_bake_glb emits — dense
  vertex-PBR (linear COLOR_0 + _METALLIC_ROUGHNESS, uploaded as
  normalized integers) and the opt-in UV-atlas textured form. Parsing
  happens before any GL so stats and errors render without WebGL2.
- use3DHistory stores past generations (params, input thumbnail, and
  the GLB blob itself) in IndexedDB with keep-newest-20 eviction —
  GLBs are multi-MB binaries localStorage can't hold — and the page
  offers a download button for the active GLB.
- Wiring: CAP_3D capability constant (FLAG_3D — the exact string
  /api/models/capabilities serves), threeDApi, router entries, Studio
  tab, vite dev proxy, en locale keys.
- e2e: render-smoke entry plus a focused spec that feeds a real
  one-triangle vertex-PBR GLB through the parser/viewer and exercises
  IndexedDB persistence, selection, deletion, and API errors.

Assisted-by: Claude:claude-fable-5 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>

* fix(3d): address API correctness and UX issues

Keep 3D generation on the LocalAI-specific /3d/generations route and ensure authentication and permissions cover it.

Propagate distributed transfer failures, publish a portable ARM64 backend image, honor importer overrides, and align discovery, upload validation, and touch controls.

Assisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>

* feat(3d): add previewable print remeshing

Add a single-detail CGAL Alpha Wrap workflow for existing Trellis GLBs, including PBR reprojection, API documentation, tracing, and an in-browser preview before download.

Allow the remesh route to enforce its 512 MiB upload cap independently of the smaller global default so generated high-resolution meshes can be processed.

Assisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>

* build(trellis2cpp): centralize remesh dependency pins

Assisted-by: Codex:GPT-5 [apply_patch] [exec_command]
Signed-off-by: Richard Palethorpe <io@richiejp.com>

* fix(kokoros): implement Generate3D stub for new proto RPC

The Generate3D RPC added to backend.proto for the trellis2cpp backend
made tonic's generated Backend trait require generate3_d, breaking the
kokoros-grpc build. Return unimplemented like the other unsupported
modalities.

Assisted-by: Claude Code:claude-fable-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>

---------

Signed-off-by: Richard Palethorpe <io@richiejp.com>
Co-authored-by: localai-org-maint-bot <bot-opensource@localaisrl.com>
2026-07-29 16:15:04 +02:00
mudler's LocalAI [bot]
8089b2bf09 fix(ci): only rebuild the full backend matrix on breaking backend.proto edits (#11192)
backend/backend.proto is consumed by every language, so its SHARED_BUILD_INPUTS
rule could only ever be always/always: 417 Linux plus 56 Darwin builds. It fires
on ~1.3% of commits (10 of 767 over six months), which made it the single
largest CI cost driver in the repo.

On 2026-07-29 the queue reached 2178 jobs against 8 concurrent runners. Four
runs totalling 935 of those jobs were triggered by nothing but a proto edit. The
largest, 378 jobs on master, came from PR #11158, whose entire proto diff was
six lines adding `bool cache_prompt = 8;` to one message. No backend that does
not read that field behaves any differently for it.

Make the rule content-aware. changed-backends.js resolves backend.proto at the
base revision (the contents-API pattern already used for backend-matrix.yml) and
hands both texts to protoChangeIsAdditive(), which compares them structurally so
a comment reflow, reindent or field reorder does not read as a change. An
additive-only edit (new field with an unused number, new message, new enum
value, new RPC) suppresses the rule and rebuilds nothing; a removed, renumbered,
retyped or renamed field, a dropped RPC or a changed option still rebuilds
everything, as does an unresolvable base revision.

Every other matched rule is untouched, so a PR that edits the proto and
scripts/build/ is still a full rebuild, and the weekly full-matrix cron remains
the backstop for stale wheels.

Verified against all ten proto commits of the preceding six months: the nine
with a resolvable parent all classify as additive, and controls covering a
retyped-and-renumbered field, a deleted RPC, identical revisions and a
reindent-plus-comment-reflow all classify correctly.


Assisted-by: Claude:opus-5 [claude-code]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-29 15:58:27 +02:00
localai-org-maint-bot
89ee62b2af gallery: add KAT-Coder V2.5 Dev GGUF variants (#11186)
* gallery: add KAT-Coder V2.5 Dev GGUF variants

Add Q4_K_M and Q8_0 builds of the newly released KAT-Coder-V2.5-Dev agentic coding model.

Assisted-by: Codex:gpt-5 [Hugging Face API]

* gallery: add KAT-Coder APEX variants

Assisted-by: Codex:gpt-5 [web]

* gallery: add KAT-Coder APEX checksums

Assisted-by: Codex:gpt-5

---------

Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-07-29 15:35:51 +02:00
Richard Palethorpe
49ef40a187 feat(classifier/VAD): support voice control on low power devices (#10804)
* feat(llama-cpp): route Score through the slot loop

Score previously bypassed the slot loop with a direct llama_decode: a
conflict guard aborted the whole process if scoring raced generation, the
config validator had to reject score alongside chat/completion/embeddings,
and every candidate re-decoded the full shared prompt.

Add SERVER_TASK_TYPE_SCORE to the (patched) upstream server so score tasks
are scheduled like any other slot work: generation and scoring serialize
naturally, the shared prompt is decoded once per call, and the slot's
prompt cache carries the conversation prefix across calls. Context
checkpoints at the score boundary and at the cache-divergence point keep
SWA/hybrid/recurrent models (e.g. LFM2.5) from re-prefilling the whole
prompt per candidate: warm-turn scoring on a 6-option set drops from ~8s
to ~0.5s on a desktop CPU.

The conflict guard and the validation split are removed; declaring score
with generation usecases on one config is now supported and shares the
slot cache.

Assisted-by: Claude:claude-fable-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>

* feat(realtime): classifier wire types and pipeline config

Wire types and YAML config for realtime classifier mode: sessions carry a
localai_classifier extension (options with canned replies/tool calls,
softmax threshold, normalization, history trimming, fallback modes, and a
deterministic wake-word address gate), mirrored by pipeline.classifier in
the model YAML and surfaced in the config-meta registry. The
localai.classifier.result server event reports the full score distribution
per turn.

Assisted-by: Claude:claude-fable-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>

* feat(realtime): classifier response flow

Classifier-mode responses: instead of autoregressive generation, each user
turn is prefill-scored against the option list (router.ScoreClassifier
prompt/candidate shapes over the Score primitive) and the winning option's
canned reply and tool call are emitted through the existing response
machinery. Below-threshold turns take the configured fallback (none /
canned reply / generate); empty transcripts and unaddressed turns (wake
word not mentioned) skip scoring entirely. The scoring probe defaults to
the latest user message only — small scorers echo canned replies from
prior turns back as the top option otherwise.

Built for hardware that can afford prompt processing but not decode: with
slot-based Score the option list stays KV-cached across turns, so a turn
costs roughly one forward pass over the new words.

session_update_error events now carry the validation cause instead of a
generic message.

Assisted-by: Claude:claude-fable-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>

* fix(realtime): bound the VAD tick's scan window and buffer retention

The VAD tick loop re-scanned the entire input buffer every 300ms and only
trimmed it on zero-segment ticks or commits. Audio that keeps producing
segments without a committing pause (steady noise a mic pipeline lets
through, music, continuous speech) grew the buffer toward the 100MB cap
with each tick rescanning all of it — O(n^2), measured at ~3.3ms of silero
per buffered second: past ~90s retained, ticks run back to back and pin
~4 cores until the stream stops.

Silero's recurrent state only carries a few hundred ms of context, so
rescanning old audio buys nothing. Clip the slice handed to the VAD to the
largest silence the commit test can need to measure (server_vad silence
window or the semantic eagerness fallback) plus a warm-up margin, and
rebase the returned segment times so every downstream consumer keeps
whole-buffer coordinates. An open turn whose clipped window is all silence
now commits (the silence outran the window) instead of being discarded as
no-speech. Independently, retain at most 90s of raw buffer, rebasing the
live-feed and EOU cursors on trim — this also bounds the previously
unbounded VAD-error path. Turn boundaries are otherwise unchanged: no
forced commits, no new coordinator states.

pipeline.turn_detection.vad_window_sec can widen the scan window; values
below the automatic floor are ignored. The tick body is extracted into
vadTick so specs can drive turn detection synchronously (same shape as
classifySoundWindow); the babble reproduction that pinned 4 cores now
plateaus under 10% of one core.

Assisted-by: Claude:claude-fable-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>

* fix(backend): let per-model threads override the global default

ModelOptions overrode a set per-model threads value with the app-level
--threads whenever the latter was non-zero — and WithThreads defaults it
to the physical core count, so it always was. The YAML threads: knob has
been dead config: a tiny VAD model could never opt down from the global
pool size.

SetDefaults already fills an unset per-model value from the app config,
which is the intended precedence; resolve threads through a helper that
honors it (explicit threads: 0 still means unset).

Assisted-by: Claude:claude-fable-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>

* chore(gallery): single-thread the silero VAD

Silero is a ~2MB recurrent model with no exploitable graph parallelism:
measured per-call latency is identical at 1 and 10 ORT threads, while
every extra pool thread just spin-waits between the realtime loop's
frequent tiny inferences.

Assisted-by: Claude:claude-fable-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>

* docs(realtime): classifier mode, VAD scan window, threads precedence

Document the realtime classifier mode (options, threshold guidance,
wake-word address gate, empty-transcript handling), the VAD scan window
and 90s buffer retention (pipeline.turn_detection.vad_window_sec), the
per-model threads precedence, and the M3 classifier note in the realtime
state-machine design doc.

Assisted-by: Claude:claude-fable-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>

* perf(llama-cpp): score all candidates in one batched decode

One scoring call is now a single SERVER_TASK_TYPE_SCORE task: the slot
decodes the shared prefix (prompt + longest common candidate token
prefix) once, then forks one sequence per candidate off it
(metadata-only for the unified KV cache, copy-on-write for recurrent
state) and decodes every candidate's unique tail in one llama_decode.
Previously each candidate was its own task that restored the boundary
checkpoint and re-decoded its full tail sequentially, paying
per-candidate task and decode overhead.

The context reserves SERVER_SCORE_FORK_SEQS extra sequence ids (and
recurrent-state cells) beyond the parallel slots via the new
common_params::n_seq_score_forks. Forking requires the unified KV cache
(already this backend's default) since per-sequence streams would shrink
n_ctx_seq; an explicit kv_unified:false disables forking and Score calls
that need it fail cleanly. Candidates beyond the fork/output budget
decode in successive chunks.

Wire contract and scores are unchanged: per-token logprobs are stitched
from the shared region and the forked tails. Verified bitwise
deterministic call-to-call and independent of candidate order (no
cross-fork leakage via equal-length candidate swap); ranking matches the
per-candidate implementation on the drone battery (winner softmax
0.99996 vs 0.99997), and >16-candidate chunking, prefix-of-another and
empty candidates all pass.

Measured on a desktop CPU: warm /api/score calls 0.52s -> 0.23s; warm
realtime classifier turns 196-303ms. The 9-candidate drone turn decodes
~17 unique tail tokens in one batch instead of nine sequential ~220ms
checkpoint-restore tasks.

Assisted-by: Claude:claude-fable-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>

* fix(realtime): gate scoring capacity by model usecase

Reserve llama.cpp scoring slots only for models that explicitly declare the score usecase, while allowing score to coexist with chat and completion. Reject incompatible unified-KV settings and classifier activation on models without scoring capacity.

Propagate application defaults when resolving realtime and preload pipeline stages so unset thread counts are resolved consistently without overriding explicit model settings.

Assisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>

* fix(ci): honor APT mirrors in the prebuilt llama-cpp compile step

The builder-prebuilt path installs gcc-14 with apt directly and ignored
the APT_MIRROR/APT_PORTS_MIRROR build args the from-source path already
honors, so an ubuntu mirror outage broke every arm64 backend build. Pass
the args into the stage and run apt-mirror.sh (already in the build
context via COPY . /LocalAI) before the apt step.

Assisted-by: Claude:claude-fable-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>

* feat(realtime): classifier argument slots via constrained completion

Hybrid classify-then-complete: a classifier option's canned tool call can
declare typed argument slots (number | enum | string, with defaults and
prompt hints) referenced as "{{name}}" in the arguments template. When
the option wins, the slots are filled by a short grammar-constrained
completion that continues the exact scoring prompt — rendered by the same
cached ScoreClassifier, so the llama.cpp prompt cache is already warm —
with the chosen route JSON re-opened at the first slot field. A GBNF
grammar pins the field skeleton and frees only the values; temperature 0,
a couple dozen tokens at most (~300ms on a desktop CPU for two slots).

Slot declarations and hints ride the option descriptions in the shared
system prompt, informing scoring and the fill alike at no per-turn token
cost. The localai.classifier.result event carries the final arguments and
a fill_latency_ms. On inference failure the slots' defaults apply; a slot
without a default fails the response (or falls through with
fallback.mode: generate). Slot filling requires completion alongside
score in the scoring model's known_usecases.

Verified end-to-end on the Pi drone demo: "fly forward three meters" in
distance mode classifies forward and infers {"distance": 3, "units":
"meters"} in ~310ms, and the drone flies exactly 3 units.

Assisted-by: Claude:claude-fable-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>

* feat(realtime): splice filled slot values into classifier replies

A classifier option's spoken reply can now reference its tool's argument
slots ("Going forward {{distance}} {{units}}."): the values inferred by
the slot-fill completion — or the recovery defaults — are spliced into
the reply as plain text before it is emitted, so what the assistant says
confirms what it actually inferred. Placeholders without a value stay
literal, and options without slots are untouched.

FillToolArguments now returns the raw slot values alongside the spliced
arguments JSON to make the reply templating possible.

Assisted-by: Claude:claude-fable-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>

* fix(realtime): harden classifier slot completion

Reserve context for constrained slot filling, size completions from their encoded output, and encode enum grammar literals as valid JSON. Reject empty enum values and cover the failure modes with regression tests.

Assisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>

* feat(realtime): prewarm the classifier scoring prompt on registration

Swapping a session's classifier option list (a voice-switched command
mode, for instance) made the next turns pay a full re-prefill of the new
option-list prompt — measured 2.4s vs 0.3s warm on a desktop CPU, and
worse: on hybrid-memory models like LFM2.5, whose state cannot be
partially rewound (llama.cpp can only restore checkpoints), *every*
probe change re-prefilled from scratch whenever the last checkpoint
missed the probe boundary, so even same-list turns intermittently cost
full prefills.

Registering an option list (pipeline seed or session.update) now fires a
best-effort background prewarm: two throwaway scores with distinct
probes. The first prefills the new option-list prompt; the second,
diverging exactly where per-turn probe text starts, plants the backend's
rewind point (KV checkpoint) at the stable-prefix boundary that every
real turn reuses. The prewarm hides behind the canned mode-switch reply
— by the time it finishes speaking, the cache is warm. Idempotent per
option set, detached from the registering request's lifetime.

Measured on the drone demo (LFM2.5-1.2B, desktop CPU): first turn after
a mode switch 2374ms -> 340ms; intermittent same-list full prefills
(1.3-2.1s) all -> under 0.5s. For clients that swap lists frequently,
options: [parallel:2] on the scoring model additionally keeps one slot
per list via prefix-similarity routing (+26MB RSS, unified KV).

Assisted-by: Claude:claude-fable-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>

* perf(llama-cpp): checkpoint scoring at the caller-declared stable prefix

Hybrid-memory models (LFM2.5 shortconv, Qwen3.5 deltanet — where new
small models are headed) cannot rewind their state, so any prompt-cache
reuse that needs a rewind falls back to a full re-prefill. For classifier
scoring that meant every probe change re-processed the whole option-list
prompt: the server's checkpoints were placed reactively (at wherever the
previous task happened to diverge), so a checkpoint past the next
divergence was erased rather than restored — measured as intermittent
2-10s turns on prompts with a 95%+ common prefix.

The classifier now computes the probe-invariant prompt prefix once (the
byte-wise common prefix of two synthetic probe renders) and declares its
length with every Score request; the server maps it to a token boundary
and forces a KV checkpoint exactly there on each score prefill. That
checkpoint sits at or before every future divergence under the same
option list, so it always survives and always restores — repeat scoring
costs probe+candidates regardless of how the probe changes.

Also:
- prewarm reruns on every option-list registration instead of memoizing
  per list: with boundary checkpoints a redundant rewarm costs two
  probe-sized decodes, while skipping one after a slot eviction (three
  lists sharing fewer slots evict in LRU cascades) silently moves a full
  re-prefill onto the user's next turn
- new llama.cpp backend option rs_seq:N exposes bounded recurrent-state
  rollback outside speculative decoding; measured impractical for
  deltanet-scale states (65GB for 64 snapshots on Qwen3.5-4B) but cheap
  insurance for small-state models
- docs: the multi-list recipe (parallel:N + sps:0.5 — the default slot
  similarity threshold funnels distinct lists onto one slot)

Measured on the drone demo (LFM2.5-1.2B scorer, desktop CPU), steady
state: every turn 285-421ms including mode switches, vs 2.4s post-switch
and intermittent 1.3-2.9s re-prefills before.

Assisted-by: Claude:claude-fable-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>

* fix(realtime): align classifier cache guidance

Document the single-score prewarm behavior and clean the vendored score patch formatting.

Assisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>

* fix(llama-cpp): guard score task for fork backends

TurboQuant and Bonsai reuse the primary gRPC server against llama.cpp forks that do not carry LocalAI's slot-based Score patches. Compile the Score integration only for the patched primary backend and return UNIMPLEMENTED from fork builds instead of referencing absent task types and common_params fields.

Assisted-by: Codex:gpt-5 [gh]
Signed-off-by: Richard Palethorpe <io@richiejp.com>

* fix(dev): generate gRPC code before commit lint

The coverage phase regenerates ignored protobuf bindings, but lint runs first and can fail against missing or stale output. Generate the pinned bindings before lint so the gate always type-checks the current schema.

Assisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>

---------

Signed-off-by: Richard Palethorpe <io@richiejp.com>
2026-07-29 12:50:22 +02:00
localai-org-maint-bot
bc21f832aa gallery: add Laguna S 2.1 GGUF variants (#11188)
Add the official Q4_K_M and Q8_0 builds plus the DFlash speculative-decoding pairing for llama.cpp.

Assisted-by: Codex:gpt-5 [Hugging Face API]

Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-07-29 10:27:09 +02:00
mudler's LocalAI [bot]
967becb365 chore: ⬆️ Update ikawrakow/ik_llama.cpp to b054a8b983827c01aec59d4dc273a27c492c51c4 (#11175)
⬆️ Update ikawrakow/ik_llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
Co-authored-by: localai-org-maint-bot <bot-opensource@localaisrl.com>
2026-07-29 09:57:23 +02:00
mudler's LocalAI [bot]
0569bb30a2 chore: ⬆️ Update ggml-org/whisper.cpp to 97c56f1dc1d1100a9d859c865a20c82d22f823ed (#11182)
⬆️ Update ggml-org/whisper.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
Co-authored-by: localai-org-maint-bot <bot-opensource@localaisrl.com>
2026-07-29 09:57:12 +02:00
mudler's LocalAI [bot]
550545c03a chore: ⬆️ Update mudler/parakeet.cpp to e747acdaee69b916cef62263ae5f718bda9ff3f3 (#11181)
⬆️ Update mudler/parakeet.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
Co-authored-by: localai-org-maint-bot <bot-opensource@localaisrl.com>
2026-07-29 09:57:01 +02:00
mudler's LocalAI [bot]
c5e5141010 fix(ci): unbreak the sglang and darwin nemo backend builds (#11168)
* fix(sglang): keep nvidia-modelopt on a stable release

Every cublas sglang image currently fails to build:

  Failed to build `nvidia-modelopt==0.46.0rc0`
  Call to `wheel_stub.buildapi.build_wheel` failed
  ModuleNotFoundError: No module named 'wheel_stub'

sglang[all] pulls nvidia-modelopt in through its `diffusion` extra with no
version bound of its own, and install.sh adds a GLOBAL --prerelease=allow so
that flash-attn-4, which only ships 4.0.0b* wheels, can resolve. Unbounded plus
prereleases-allowed picks 0.46.0rc0, whose build backend imports wheel_stub
without declaring it in build-system.requires. EXTRA_PIP_INSTALL_FLAGS also
starts with --no-build-isolation, so nothing installs wheel_stub and the build
dies. Latest stable is 0.45.0 and resolves cleanly.

Bounding this one package rather than dropping the global flag, because the
flag is load-bearing for flash-attn-4 and this is the narrower change with the
smaller blast radius. Raise the bound when 0.46.0 final ships.

This is invisible on master because the backend build is path-filtered: sglang
is only rebuilt when sglang changes. It surfaces on any PR touching a shared
build input such as backend/backend.proto, which rebuilds the whole matrix.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-5 [Claude Code]

* fix(nemo): build the darwin venv on Python 3.12

The darwin nemo image fails to build:

  ModuleNotFoundError: No module named 'maturin'

nemo_toolkit pulls in text2num, a Rust extension built with maturin, whose
macOS arm64 wheels start at cp311: 3.0.2 publishes cp311, cp312, cp313 and
cp314 and no cp310. libbackend.sh defaults PYTHON_VERSION to 3.10, so pip finds
no wheel, falls back to the sdist, and dies in the PEP 517 hook because
EXTRA_PIP_INSTALL_FLAGS carries --no-build-isolation and nothing installs the
build backend. Taking the prebuilt wheel avoids the source build entirely, so
the runner needs no Rust toolchain.

Darwin only, deliberately: the Linux profiles resolve a cp310 manylinux wheel
for the same package and have no reason to move. The override is set after
libbackend.sh is sourced and before installRequirements, the same shape
sglang's install.sh already uses for its l4t13 profile.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-5 [Claude Code]

* fix(nemo): pin the darwin portable-Python patch level too

The 3.12 bump alone traded one failure for another:

  curl: (56) The requested URL returned error: 404
  make[1]: *** [nemo-asr] Error 56

libbackend builds the portable-Python URL from
cpython-${PYTHON_VERSION}.${PYTHON_PATCH}+${PY_STANDALONE_TAG}, and
PYTHON_PATCH defaults to 18 because the default interpreter is 3.10.18. Setting
only PYTHON_VERSION asked for a 3.12.18 that was never released.

Patch 11, not the 12 that sglang/install.sh pairs with 3.12 for l4t13: at the
20250818 tag python-build-standalone published 3.12.12 for linux aarch64 but
not for aarch64-apple-darwin, where 3.12.11 is the newest. Both URLs were
checked against the release assets rather than assumed to match.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-5 [Claude Code]

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: localai-org-maint-bot <bot-opensource@localaisrl.com>
2026-07-29 09:56:50 +02:00
mudler's LocalAI [bot]
47c48e9409 chore: ⬆️ Update antirez/ds4 to 54b36ed9ba42da31b24f2d1a5feb075c2475dbb1 (#11178)
⬆️ Update antirez/ds4

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
Co-authored-by: localai-org-maint-bot <bot-opensource@localaisrl.com>
2026-07-29 08:45:31 +02:00
mudler's LocalAI [bot]
6aaf7db5f0 chore: ⬆️ Update mudler/depth-anything.cpp to 2028b47ac75a8659c6a9aa617baf09be193eb55f (#11179)
⬆️ Update mudler/depth-anything.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
Co-authored-by: localai-org-maint-bot <bot-opensource@localaisrl.com>
2026-07-29 08:45:18 +02:00
mudler's LocalAI [bot]
193d49001b chore: ⬆️ Update CrispStrobe/CrispASR to 754b67289cf1137e3ed722885705f94132fc614f (#11180)
⬆️ Update CrispStrobe/CrispASR

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
Co-authored-by: localai-org-maint-bot <bot-opensource@localaisrl.com>
2026-07-29 08:44:45 +02:00
localai-org-maint-bot
8f9184fbb2 feat(cli): support systemd socket activation (#11169)
* feat(cli): support systemd socket activation

Serve the API from a single stream listener inherited through the systemd activation protocol while retaining the existing address bind path when no listener is provided. Validate activation metadata, preserve the public-bind safety check, and document an on-demand systemd setup.

Assisted-by: Codex:gpt-5

* fix(cli): satisfy listener cleanup lint

Make the best-effort close explicit so errcheck accepts the deferred systemd listener cleanup.

Assisted-by: Codex:gpt-5 [golangci-lint]

---------

Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-07-29 01:44:24 +00:00
mudler's LocalAI [bot]
84972cb745 chore(model-gallery): ⬆️ update checksum (#11176)
⬆️ Checksum updates in gallery/index.yaml

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-29 00:11:10 +02:00
localai-org-maint-bot
034df6ceb1 fix(worker): report RAM alongside GPU memory (#11167)
* fix(worker): report RAM alongside GPU memory

Assisted-by: Codex:gpt-5

* feat(ui): show worker RAM on node views

Assisted-by: Codex:gpt-5

---------

Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-07-28 23:55:35 +02:00
localai-org-maint-bot
996bdcecdc fix(mlx-vlm): install torch dependencies on Metal (#11164)
Some Transformers processors used by MLX-VLM, including Qwen vision models, import both PyTorch and Torchvision. Include them in the Metal backend environment so model loading does not fail with missing-library errors.

Assisted-by: Codex:gpt-5

Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-07-28 19:45:07 +02:00
walcz-de
4b4faa4ac7 feat(cloud-proxy): optional Anthropic prompt-cache breakpoints in translate mode (#11158)
The Anthropic translate provider builds the upstream request from scratch and
never emitted cache_control, so prompt caching was impossible for OpenAI-format
clients routed through cloud-proxy — even though the entire system prompt + tools
prefix is re-sent on every agentic turn.

Add an opt-in cache_prompt flag (ProxyOptions.cache_prompt; model YAML
proxy.cache_prompt: true). On a translate+anthropic model, buildAnthropicRequest
injects cache_control:{type:ephemeral} on the stable prefix — the system block,
the last tool, and the last message block (at most 3 of Anthropic's 4 allowed
breakpoints). Anthropic then serves the repeated prefix at the cache-read rate
(0.1x input) on subsequent calls, cutting cost on multi-turn/agentic workloads.
No effect in passthrough mode, for non-Anthropic providers, or when unset.

System is widened to any so it can carry the block form required to attach
cache_control, while still marshalling as a bare string when caching is off.
Adds a unit test asserting exactly three breakpoints when on and none when off,
and documents the option in docs/content/operations/cloud-proxy.md.

Assisted-by: Claude:opus-4.8

Signed-off-by: stefanwalcz <stefan.walcz@walcz.de>
2026-07-28 17:38:14 +00:00
mudler's LocalAI [bot]
0f7186f214 feat(ui): replace the stacked operations bar with a one-line strip and an Activity page (#11163)
* feat(ui): record finished gallery operations in a bounded history ring

The operations panel drops an operation the moment it succeeds, so a user
who steps away cannot tell whether an install finished, failed or was never
started. OpCache now keeps the last 50 terminal operations, recorded from
the point where an op leaves the cache.

Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* test(ui): pin the history ring's dedupe, outcome order and start stamp

Review of the history ring found four gaps. The dedupe guard and the
bounded seen set were unreachable through the exported API and so had no
coverage; an in-package spec file now drives opHistory directly. The
outcome switch claimed an ordering was load bearing that nothing pinned,
so an errored op that never reached Processed now has a spec.

Two behaviour fixes come with it. StartedAt was the zero time for ops
recovered from the store or replicated from a peer, since neither path
stamps a start time, which would have rendered as a two-millennia
duration; it now falls back to the finish time. Reusing a cache key with
a fresh job ID orphaned the previous stamp, so Set and SetBackend now
drop it.

The comment on the outcome switch described a state the code cannot be
in: CancelOperation sets Cancelled and Processed synchronously before the
handler removes the entry, so status.Cancelled already covers the cancel
endpoint. The !Processed clause stays for the dismiss endpoint firing on
an in-flight op, and the comments now say so.

Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ui): record operations that end on a peer replica

The NATS end event is the only signal a replica gets for an install another
replica ran. Record from applyEnd too, deduped by job ID so the originating
replica does not record its own broadcast twice.

Three start-stamp defects in the same path go with it. applyEnd now drops the
stamp unconditionally, since recordTerminal only cleans up on the path where it
found a cache key and an end event can overtake the local Set. applyStart drops
the stamp of the job whose cache key it replaces, which a peer-driven retry
previously stranded. And recordTerminal reads the stamp once instead of testing
Exists and then reading, so a concurrent record for the same job can no longer
delete the stamp between the two and let the zero time overwrite the
finish-time fallback, which the Activity page would render as a two-millennia
run.

Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix(ui): do not guess the outcome of a peer operation with no local status

A replica that restarts mid-operation hydrates its OpCache keys from
PostgreSQL, but gallery statuses are in-memory only and come back empty. The
end broadcast then landed on recordTerminal's nil-status branch, which reads a
missing status as queued-and-removed and filed a successful install as
cancelled. That reading is right locally and wrong on the peer path, where a
missing status means the outcome was never held here.

recordTerminal now takes the source of the terminal event and records nothing
when the peer path finds no status, restoring what the replica did before the
end event started recording. The local path is unchanged.

Also move the ApplyEndForTest seam to the conventional export_test.go, and stop
the dedupe spec from claiming to guard the ring's seen set: the local delete
removes the status keys, so the broadcast that follows returns before reaching
it. An in-package spec that calls recordTerminal twice does the pinning.

Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(api): add GET and DELETE /api/operations/history

Admin gated like the rest of the operations API. The live /api/operations
payload is unchanged so the one second poll stays small.

Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ui): expose operation history through OperationsContext

Fetched on demand and when the live list shrinks, never on the one second
poll interval.

Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix(ui): detect operation departure by identity and ignore committing ops in the ETA gate

Refetching history on a shrinking live count missed a completion that
coincided with a start, which is the common case during a batch install.
Track the live job IDs instead, so any departure triggers the refetch
regardless of how the count moved.

An operation that has finished downloading stays live at
currentBytes == totalBytes for the whole commit and install phase and can
never produce an estimate, so counting it in the all-or-nothing gate blanked
every other operation's time remaining for as long as it lasted. Only
operations still moving bytes get a vote.

Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix(ui): let only downloading operations gate the time remaining estimate

Verifying pins an operation flat below its total for the whole sha256 pass:
the AfterDownload hook reports completedBytes plus the finished file against
a total summed over every file, then hashes synchronously without emitting
progress. Files download sequentially, so a 15 shard model enters that
window 14 times, and a byte comparison cannot see it because the counter is
genuinely below the total throughout.

Gating on phase closes resolving, verifying, committing and persisting in
one predicate, so a quiet neighbour no longer blanks every other
operation's estimate for minutes at a time. The byte clauses stay: a
producer can report downloading with bytes already at the total.

Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ui): collapse the operations bar to a single line

Four concurrent installs used to take four rows above every page. The strip
now shows one operation, failure first, with a counter linking to Activity.
The close button hides the strip and no longer cancels an install.

Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix(ui): keep the operations strip from widening the page and from muting a failure

A long install error made the strip report a 1600px minimum width, which sized
main-content to fit and gave every page under it a horizontal scrollbar.
Inline-size containment plus shrinkable detail and bytes cells keep it inside
the viewport.

Hiding is no longer able to swallow the hidden job's own failure, a completed
removal or staging says so instead of claiming an install, a cancelling
operation renders as cancelling, and the live region no longer covers the
per-second percentage.

Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix(ui): shrink main-content instead of containing the strip, and expose progress

min-width on .main-content is what actually lets a long install error shrink,
and unlike inline-size containment it has no browser support floor and no
latent collapse if the strip ever lands in a shrink-to-fit context. It matches
what .app-layout-chat .main-content already does, and it clears pre-existing
horizontal overflow on narrow viewports as a side effect.

The progress track is now a labelled progressbar, so assistive tech can read
the value on demand rather than losing it to the aria-hidden that stopped the
live region re-announcing every poll.

Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ui): add the live operation card for the Activity page

Carries the detail the one-line strip has to drop: phase, bytes, the per-node
breakdown for cluster installs, and a labelled Cancel button. Cancelling is
destructive, so it gets a labelled button rather than a glyph.

A cancelling operation drops its progress bar and its time estimate, the same
call the strip makes: a percentage still climbing under "Cancelling" reads as
the cancel not having taken.

Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix(ui): give the operation card a verb, live node disclosure and its per-node detail

The card carried no verb, so an install, a removal and a staging op rendered as
spinner plus name plus kind tag and were indistinguishable. It now runs the same
verb and icon chain as the one-line strip, which is what stops the page that is
meant to carry more detail from carrying less.

The auto-expand default was evaluated once at mount. An operation is listed as
soon as it is admitted but its nodes are filled in only when the fan-out starts
reporting, so a card mounted at creation latched on the empty list and stayed
collapsed. The default is a live expression now, and state holds only an
explicit choice.

Also: an optional onRetry gates a Retry button, so the page can own the install
reconstruction without the card ever showing a control with nothing behind it;
the disclosure moved above the region it controls and gained aria-controls; the
toggle is gated at more than one node so the count is never "1 nodes"; an
unmapped node status is passed through instead of being relabelled "Queued";
error text is clamped with the full string in the title; and file_name plus the
per-node progress bar are rendered again, reviving three CSS rules that had gone
dead along with the detail they styled.

Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(ui): add the Activity page

Live operations, unacknowledged failures and the record of what finished, at
/app/activity in the Operate console. Cancelling an install now lives here
behind a labelled button rather than on the strip, and a failed install can be
retried: the retry dismisses the failure first so it still reaches the record,
then reissues the model, backend or node-scoped backend install.

The sidebar Operate entry carries the operation count. The console rail is only
rendered on an Operate route and can be collapsed, so a badge there could
vanish while operations were still running.

Two follow-ups from review fold in here: a failed removal or staging job no
longer reports a failed install on either the card or the strip, and the card's
error text can shrink so one unbroken token cannot widen the card.

Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix(ui): dismiss operations by job, and stop the Activity page contradicting itself

Dismissing resolved the job by display id, but /api/operations strips the
"node:<nodeID>:" prefix before emitting, so a local install and a node-scoped
install of one backend arrive as two jobs sharing one id. Dismissing by id
retired whichever came first. That defeated the guarantee retry was built
around: with the wrong job dismissed, the reinstall overwrote the acted-on
failure's opcache entry in place, bypassing recordTerminal, while an unrelated
failure vanished from Needs attention. dismissFailedOp, the card's dismiss
control and the strip now all pass the jobID, which is what the endpoint takes.

A filter matching nothing rendered the "nothing has ever run" empty state while
the header counted the records the filter had hidden. The empty state is now
gated on the All chip and a narrowed view gets its own message plus a way back;
the header counts the instance rather than the chip, so selecting Backends no
longer reports "Nothing running" over running model installs.

Also: the summary drops a zero clause instead of rendering "0 needs attention"
on the happy path and pluralises both counts; a record duration is floored at
"< 1s" and rejected above a day, so a zero-value start stamp cannot render a
span of millennia and a zero span cannot render "installed in" with nothing
after it; a deletion cancelled mid-flight reports the cancellation rather than
claiming it was removed; and the retry variant comment names the fix instead of
calling the gap closed.

Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* docs: document the Activity page and the operations history endpoints

Adds an Activity page under Operations covering the one-line operations
strip, the /app/activity sections and filters, per-operation cancel,
retry and dismiss, the in-memory 50-entry record, and the sidebar count.
Documents GET and DELETE /api/operations/history, and fills the gap in
the admin-only endpoint list, which also omitted the pre-existing
POST /api/operations/:jobID/dismiss.

Corrects the distributed-mode install-watching section: the per-node
breakdown now lives on the Activity page rather than on the strip, which
rolls a fan-out up into a single phrase.

Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* docs: correct nine details in the Activity page documentation

The operations strip never renders a file name: its detail line is the
error, the node roll-up, the target node, the phase or the queued note.
Drops the stale clause in the distributed-mode section, where the
per-node bullet is now the only place a file name is described.

Scopes the phase vocabulary to artifact-backed gallery models, since a
plain GGUF install emits no phase. Corrects the per-node list: the
toggle exists for any fan-out of two or more workers and the four-node
threshold only governs whether it starts open, while the N nodes tag
needs more than one node. Notes that a cancelled operation can sit in
the live section reading Cancelling, that cluster staging never reaches
the record, and that Clear history appears only when the record has
something in it.

Names the operations response envelope, with a JSON example, so callers
do not index a bare array, and stops describing the icon-only dismiss
control as a labelled button.

Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* docs: drop the unreachable Cancelling state and scope the byte claims

An operation can only report isCancelled while it is unprocessed, but
every writer of Cancelled sets Processed in the same breath, on the peer
path as much as the local one, and the cache evicts cancelled entries
before the handler sees them. The state cannot reach the page, so the
live section is described again as running or queued operations.

Byte counts come from the artifact bridge alone, the same producer as
the phase, so a plain GGUF install, a removal and a backend install
report none. Scopes both to artifact-backed gallery models and leaves
the verb, the name and the percentage as what every operation shows. A
worker backend install reports its bytes through fields the operations
payload does not carry, so the distributed section now describes the
percentage and the node roll-up, with per-file counts pointed at the
per-node detail.

Also: staging jobs carry no error, so they never reach Needs attention
and Retry never had a staging case to exclude; an install that involves
workers is no longer called node-scoped, which this page uses for
node-targeted installs; and the record timestamps carry nanoseconds.

Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* docs: state only the verb and the name as unconditional on the strip

The percentage is as conditional as the bytes were: it renders only for
a running operation that has reported progress, so a queued operation, a
failed one and a removal never carry it. A removal in particular sits at
progress zero for its whole visible life, since the delete path reports
none and its completion is filtered out. Both the strip and the card
paragraphs now lead with what always shows and list the rest as
conditions.

The Cluster chip matches on a node list that finished operations do not
carry, so a fan-out install leaves the chip once it reaches the record.
Scoped that claim to the live sections.

Two more of the same shape, found by re-reading each clause alone: the
strip also appears for a failure, which is not running, and the
four-second hold only applies when nothing replaces the operation that
just finished.

Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix(ui): stop reporting a cancelled install as installed, and make queued real

Three defects that all trace to one root cause: `isCancelled: true` is
unreachable from /api/operations. Every writer of Cancelled=true also sets
Processed=true, the handler skips Processed && Cancelled, and OpCache.GetStatus
evicts a cancelled op before the handler iterates it.

Cancelling the last running operation put a green "Installed model X" on the
strip for four seconds: the completion hold was guarded by
`!previous.isCancelled`, which is dead. A cancellation deletes the operation
server side, so the strip sees exactly what it sees on a completion, and
nothing in the payload separates the two. The signal now comes from the side
that issued the cancel: the operations context remembers the job IDs it
cancelled (pruned after a minute) and the strip asks before it holds anything.
A cancelled operation goes as soon as it stops; the record already reports it
as cancelled.

isQueued was set only when the gallery status was missing, but markQueued
publishes a "queued" status at admission, so a queued op has a status for its
whole queued life and the state was unreachable outside a microsecond window.
Every operation waiting behind a running install rendered as "Installing model
X" with a spinner. The queued phase is now the signal, via an exported
PhaseQueued and a nil-safe OpStatus.IsQueued() next to the writer.

With those two fixed, the Cancelling state has no way to be entered: cancelling
is instantaneous from the API's point of view. Its branches, CSS, locale key
and the isCancelled field itself are removed rather than left for a future
reader to assume they work.

Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix(ui): keep a removal a removal, and say what an install is doing

OpStatus.Deletion was set once, at admission, and lost on the next status
write: UpdateStatus replaces the whole status and only carried Nodes
forward. Every later writer (the worker's first write, the progress
ticks, the failure path) leaves the field at its zero value, so the flag
survived only the queued window, and both surfaces test isQueued first.

The reachable consequence is that a failed removal reported itself as a
failed install, which is exactly the shape the Activity page offers Retry
for, and Retry installs: pressing it on a removal that failed
re-downloaded the model. A running delete also rendered as "Installing
model X" with a spinner, and a successful one as "Installed model X".

Carry Deletion forward the way Nodes already is. A job is a delete or an
install for its whole life; an unset flag means "no new information", not
"this is an install". Pinned by Go specs on both the service and
/api/operations: the existing Playwright specs were green only because
they stubbed a payload the server could not emit.

Also restore the operation's own status message on the Activity card.
Phases and byte counters exist only on the managed-artifact path, so a
legacy files: gallery model and every backend install rendered a sub-row
with nothing in it but the verb. The strip stays terse on purpose.

And give the strip's name a min-width floor: overflow: hidden zeroes its
automatic minimum, so a long error squeezed the name down to "mod…" and
the identity of the thing that broke was the first thing lost.

primaryOperation is made module-private: its comment claimed the Activity
page selected the same operation, but that page shows all of them,
partitioned into failed and running, and never imported it.

Assisted-by: Claude Code:Opus 5 [Read] [Edit] [Bash]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* feat(activity): read the operations record from PostgreSQL

The Activity page's record of finished installs and removals was a 50-entry
in-memory ring per frontend replica. In distributed mode that is the wrong
place for it: each replica keeps its own copy, a replica added by a scale-out
or a rolling deploy starts empty and never backfills, and "Clear history"
clears only the replica that served the request, so the record reappears on
the next poll routed elsewhere.

The data is already in gallery_operations. Read it from there.

GalleryStore gains ListTerminal and ClearTerminal, sharing a lifted
terminalStatuses set with CleanOld so there is one definition of "finished".
ListTerminal orders by updated_at, when the operation reached its terminal
status, because the record reports what finished and when.

OpCache.History and ClearHistory dispatch on whether a store is wired, so the
HTTP handlers and the OpRecord JSON shape are unchanged and the page needed no
change. A failed store read falls back to the local ring rather than blanking
the page, and ClearHistory empties the ring as well so a database blip cannot
resurrect a record the admin just cleared.

The name derivation in recordTerminal is lifted into operationDisplayName and
used by both paths, so the ring and the store cannot name the same operation
differently.

Also fixes a pre-existing bug the store path made visible: the backend channel
hardcoded op_type "backend_install" even for a removal, while the model channel
derives model_install/model_delete from op.Delete. Both channels carry the same
ManagementOp, whose Delete field the backend handler already branches on, so
the backend channel now derives backend_delete the same way.

Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix(activity): keep a cancelled operation cancelled, and report a failed clear

Review follow-up on the store-backed Activity record.

A cancelled install was recorded as a failure. The cancel handler persists
"cancelled" synchronously, then the handler goroutine unwinds with the context
error and Start hands that to updateError unconditionally, which overwrote the
row with "failed: context canceled". The page rendered a cancelled install as a
red failure card offering Retry, with a raw context error as the reason.

Fixed in GalleryStore rather than in Start, because an operation finishes once
and the paths that retire one are not mutually exclusive: UpdateStatus now
refuses to rewrite a row that already reached a terminal status. That also pins
updated_at to when the operation really finished, which is the key the record is
ordered by, and Create's upsert now freezes the same columns so a worker
dequeuing an operation the admin cancelled while it was queued cannot reopen it
as pending.

ClearHistory returned nothing, so a failed delete logged a warning while the
handler still answered 200. The admin watched the record clear and come back on
the next fetch with nothing said about why. It now returns the error, the DELETE
handler answers 500, and the store is cleared before the local ring so a failure
leaves the fallback record intact rather than faking an empty one.

Hydrate is the only reader that decides from op_type whether an operation is a
removal, and it tested for "model_delete" exactly, so the backend_delete added
in the previous commit hydrated as an install: a replica restarting during a
backend removal rendered "Installing backend X". Both discriminations now go
through IsDeleteOpType/IsBackendOpType so a fifth op_type cannot silently read
as an install in whichever consumer was missed.

Also: the backend channel now persists Cancellable as !op.Delete, matching the
model channel; IsBackend falls back to the op_type prefix, since is_backend_op
is only written by UpsertCacheKey and the rows needing the name fallback were
reporting backend operations as models; and an unrecognized terminal status is
logged rather than quietly filed as a success, which is what the comment already
claimed.

Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix(activity): keep a reaped operation correctable by its real outcome

The terminal-status freeze added in the previous commit was too wide. It froze
"failed" alongside "completed" and "cancelled", and the stale reaper writes
"failed" onto operations that are still going to run.

The gallery worker is a single goroutine consuming both channels serially, so
an operation queued behind a large download sits in "pending" with nothing
bumping updated_at, and ReapStaleOperations gives up on it after 30 minutes.
That used to be self-healing: the worker dequeued it, Create reset the row to
"pending", and the operation reported its real outcome. With the freeze the row
stayed "failed" forever while the install ran and succeeded underneath it: a red
failure card offering Retry for a model that is installed, omitted from
ListActive so no replica hydrates it, and no longer deduped cluster-wide by
FindDuplicate.

Freeze on ("completed", "cancelled") instead. That is all the cancelled-install
fix ever needed, and it leaves a failure correctable by what actually happened.
The set is separate from terminalStatuses, which ListTerminal, ClearTerminal and
CleanOld all still want in full, because the two mean different things: a
failure can be superseded by a real outcome, a completion or a cancellation is
the real outcome.

UpdateStatus now writes the error column unconditionally, so a corrected
outcome drops the previous attempt's reason rather than being recorded as
completed while still carrying "stale operation reaped" as its error.

Also adds the route-level spec for the 500 branch of DELETE
/api/operations/history, and trims a comment that credited the persisted
cancellable column with more than it survives long enough to do.

Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix(activity): offer Cancel in the phase that can honour it

The cancellable flag was set at both ends of an operation's life and was wrong
at both, in opposite directions.

A queued operation is cancellable whatever it is. EnqueueModelOp and
EnqueueBackendOp select on the operation context, so cancelling one that is
still waiting releases the delivery goroutine and abandonQueued retires it: the
worker never sees it, nothing is downloaded, nothing is deleted. markQueued
nevertheless wrote Cancellable: !deletion, so a queued removal reported
cancellable: false and the UI hid the Cancel button in the one window where
pressing it both works and leaves no trace. A removal queued behind a large
install was stuck there until the install finished.

A running removal is not cancellable at all. DeleteModel and DeleteBackend take
no context, and modelHandler only checks the operation context after the call
returns, so a "cancelled" verdict would land after the model was already gone.
Both handlers nevertheless wrote Cancellable: true unconditionally at entry,
ahead of the op.Delete branch, offering a Cancel button the server cannot
honour.

So the queued phase is more cancellable than the running phase, which is the
reverse of the usual shape. markQueued now reports true unconditionally, and
the handler-entry writes report !op.Delete. Both sites carry a comment saying
why, because reading either one alone suggests the other is a bug.

GalleryStore.Create keeps !op.Delete: it runs at dequeue, so its value already
describes the running phase. Its comment now says so.

Specs cover queued removal, queued install, running removal and running install
through the handlers, plus the queued-removal case through /api/operations
where the flag is consumed, plus the behaviour the whole asymmetry rests on: a
removal cancelled while queued never reaches the worker and deletes nothing.
No existing spec asserted the old values.

Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Write] [Bash]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix(activity): clamp the installer message, and add a real-binary e2e spec

Running the page against a real local-ai showed the legacy installer message
wrapping to three lines and dominating the card: it embeds an absolute file
path, so it is both long and a single unbreakable token. One line, ellipsised,
full text in the title, matching what the error string already does.

The spec that found it runs with no route stubbing at all. Every other spec
here stubs /api/operations, which is how a payload the server cannot emit
(isDeletion true on a live operation) stayed green through a full review while
the UI rendered a removal as an install. It is skipped unless
LOCALAI_REAL_BINARY is set, so CI is unaffected.

Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-28 19:33:48 +02:00
localai-org-maint-bot
823fc25bb7 fix(kokoro): add CPU backend fallback (#11161)
Publish the existing Kokoro CPU profile for amd64 and arm64 and use it as the default gallery capability so Vulkan-only and CPU hosts can install the backend.

Assisted-by: Codex:gpt-5

Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-07-28 18:02:39 +02:00
mudler's LocalAI [bot]
366db11c59 chore: ⬆️ Update mudler/parakeet.cpp to 3e1ddd8455ceb9bfae564f84db24ba068b00c56e (#11150)
⬆️ Update mudler/parakeet.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-28 09:25:52 +02:00
mudler's LocalAI [bot]
54012002fd chore: ⬆️ Update ikawrakow/ik_llama.cpp to 5f063b7bbae8f9a34dfc5c704aa77939e76494a9 (#11153)
⬆️ Update ikawrakow/ik_llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-28 09:25:39 +02:00
mudler's LocalAI [bot]
176000190e chore: ⬆️ Update ggml-org/llama.cpp to 1cbfd1988311775425d36c0ce066590f7d3049cf (#11155)
⬆️ Update ggml-org/llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-28 09:25:25 +02:00
mudler's LocalAI [bot]
c4d0c060ed chore: ⬆️ Update CrispStrobe/CrispASR to 7bb8be77a8c1677e32bba58514bb2d42f29a7a48 (#11156)
⬆️ Update CrispStrobe/CrispASR

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-28 09:01:41 +02:00
mudler's LocalAI [bot]
cff31bbac0 chore: ⬆️ Update leejet/stable-diffusion.cpp to 22516991cbdf725e69b0b4a87e52ca16cce07c2d (#11157)
⬆️ Update leejet/stable-diffusion.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-28 08:23:55 +02:00
mudler's LocalAI [bot]
e218c7f56a chore(model-gallery): ⬆️ update checksum (#11152)
⬆️ Checksum updates in gallery/index.yaml

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-27 23:36:07 +02:00
mudler's LocalAI [bot]
12f2e1b99c feat(swagger): update swagger (#11149)
Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-27 23:35:42 +02:00
mudler's LocalAI [bot]
2ecf893c6c fix(sherpa-onnx): install cuDNN in the CUDA builder so the package can bundle it (#11145)
sherpa-onnx links onnxruntime's CUDA execution provider, and
libonnxruntime_providers_cuda.so carries cuDNN as a hard DT_NEEDED. The
onnxruntime GPU tarball ships no cuDNN of its own, and Dockerfile.golang
only installs libcudnn9 on the arm64 + CUDA 13 branch, so the amd64 CUDA
builders have none at all.

Since #10946 added the packaging guard, that combination is fatal rather
than silent: package-gpu-libs.sh reports 'cuDNN: venv=absent system=absent
-> bundle=detect', correctly detects the reference, finds nothing to copy
and refuses to emit the package. Both -gpu-nvidia-cuda-12-sherpa-onnx and
-gpu-nvidia-cuda-13-sherpa-onnx have failed to build since 2026-07-19, so
neither image has been published. Before the guard existed they shipped
without cuDNN and failed at load time instead.

Install the runtime package for this backend only. The auto-detection
bundles solely what a package references, so no other backend would grow,
but every Go CUDA builder would pay ~1.1 GB of layer and registry cache
for a library ggml never calls.


Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-27 22:39:37 +02:00
mudler's LocalAI [bot]
05ff401de8 fix(test): stop the backend-trace specs racing the lossy trace channel (#11146)
RecordBackendTrace does a non-blocking send onto a 100-slot channel and
drops when it is full, so tracing never stalls inference. The payload
bounding specs pushed all 200 traces in one tight loop, which overruns
that channel on a loaded machine: entries are dropped for good and the
Eventually waiting for 200 can never be satisfied, no matter the timeout.
CI hit this on master at 0a8a7fbb, settling at 158/200.

Feed the traces in chunks of 50, draining after each, so the channel is
never overrun and the count stays exact. Reproduced with 60 busy loops on
a 20-core box at GOMAXPROCS=2: 0/12 runs passed before, 12/12 after.


Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-27 22:38:23 +02:00
Tai An
a7fa678d83 fix(tts): forward the OpenAI speed field to the backend (#11097) (#11120)
* fix(tts): forward the OpenAI speed field to the backend (#11097)

/v1/audio/speech accepted the documented OpenAI `speed` field and then
dropped it: schema.TTSRequest had no Speed member, so the value never
reached proto.TTSRequest and the request returned 200 with an unchanged
playback rate.

Accept speed and normalise it into the existing per-request params map,
which core/backend forwards verbatim to the backend. An explicit
params["speed"] still wins, and a value outside the documented 0.25-4.0
range is now rejected with 400 instead of being silently ignored.

Signed-off-by: Anai-Guo <antai12232931@outlook.com>

* fix(tts): distinguish explicit speed=0 from an omitted field

Make TTSRequest.Speed a *float32 so an explicit `"speed": 0` (invalid,
below the documented 0.25 minimum) is rejected with 400 instead of being
treated as unset and silently defaulted. An omitted field stays nil and
leaves the backend default untouched.

Add a request-boundary regression that distinguishes an omitted speed from
an explicit zero, addressing review feedback.

Signed-off-by: Anai-Guo <antai12232931@outlook.com>

* docs: drop the speed field from the TTS docs

Per review: no backend consumes params.speed today, so documenting it
would be misleading. The API-level plumbing and validation stay.

Signed-off-by: Anai-Guo <antai12232931@outlook.com>

---------

Signed-off-by: Anai-Guo <antai12232931@outlook.com>
2026-07-27 19:03:32 +02:00
Anupam Mediratta
3698361510 fix: upgrade hono to 4.12.25 (CVE-2026-54290) (#11023)
* fix: CVE-2026-54290 security vulnerability

Automated dependency upgrade by OrbisAI Security

Signed-off-by: orbisai0security <mediratta@gmail.com>
Signed-off-by: Anupam Mediratta <mediratta@gmail.com>

* fix(deps): override hono transitive dep to eliminate CVE-2026-54290

Add package.json `overrides` field to force hono@4.12.25 across the
entire dependency graph, including the transitive copy pulled in by
@modelcontextprotocol/sdk. Previously bun.lock retained a scoped
`@modelcontextprotocol/sdk/hono` entry resolved to the vulnerable
hono@4.12.8; the override removes that entry so only the patched
version ships.

Assisted-by: Claude Code:claude-sonnet-4-6
Signed-off-by: Anupam Mediratta <mediratta@gmail.com>

---------

Signed-off-by: orbisai0security <mediratta@gmail.com>
Signed-off-by: Anupam Mediratta <mediratta@gmail.com>
2026-07-27 19:02:37 +02:00
mudler's LocalAI [bot]
856b0ea951 fix(ci): build the CUDA 13 image on Ubuntu 24.04 (#11143)
* fix(ci): build the CUDA 13 image on Ubuntu 24.04

The amd64 `-gpu-nvidia-cuda-13` image is the only runtime image still
built FROM ubuntu:22.04. The Ubuntu 24.04 migration (#7769) bumped its
`ubuntu-version` to 2404 but left `base-image` on jammy, so the image
ships glibc 2.35 while adding the noble CUDA apt repository, and every
backend it unpacks is built on noble.

Backends therefore cannot dlopen the libraries they bundle. The vLLM
backend dies at import time with:

  OSError: /lib/x86_64-linux-gnu/libc.so.6: version `GLIBC_2.38' not
  found (required by /backends/cuda13-vllm/lib/libnuma.so.1)

and torchcodec finds no usable libavutil because jammy ships ffmpeg 4.x
(libavutil.so.56) while torchcodec looks for .so.57 through .so.60.

Add a spec over the build matrices that fails when a base image and the
`ubuntu-version`/`ubuntu-codename` it is paired with disagree, or when
the runtime images are split across Ubuntu releases. Entries whose base
image does not name a release (JetPack) are left alone.

The `base-grpc-cuda-13-amd64` builder base stays on jammy: it only
compiles backends, and a lower glibc floor in a builder is safe.

Fixes #11059

Assisted-by: Claude:claude-opus-5 golangci-lint
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix(ci): drop the build matrix invariant spec

Per review, the CI matrix guard does not belong in the tree. Only the
base image bump remains.

Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-27 18:49:02 +02:00
mudler's LocalAI [bot]
878a0d00a1 fix(distributed): reaper reaps live backends, ghost model stubs, in_flight leak, sidecar staging runaway (#11142)
* fix(distributed): stop the probe reaper from orphaning busy backends

The reconciler's liveness probe is a 1s gRPC HealthCheck, and a single
failed probe deleted the model's node_models row. A backend that is
merely busy cannot answer it: single-threaded Python backends (video and
avatar generation) block for minutes inside one request, so the reaper
was deleting registry rows for backends that were alive and mid-request.

The model then vanished from the nodes page while it was still
generating, and because the row was gone the in-flight decrement had
nothing to decrement ("DecrementInFlight: no matching row or already
zero"). Every subsequent request re-routed and re-staged the full model
from scratch.

Two guards:

  - Replicas with in-flight requests are excluded in SQL. A row that is
    actively serving is proof of life, and the running request is
    exactly what stops the backend from answering the probe.

  - Idle replicas must miss three CONSECUTIVE probes before removal, so
    a transient blip cannot orphan a live replica. A successful probe
    resets the streak.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-5 [Claude Code]

* fix(distributed): drop the local model stub when its last replica goes

In distributed mode every routed model leaves an in-process stub in the
frontend's ModelLoader, and DistributedModelStore.Range reports local
stubs UNION the registry rows. Every registry removal path deletes only
the DB row, so the stub outlived the replica and the model was reported
as loaded forever.

That is the "loaded on the home page, absent from every node" ghost:
/system reads the union and still sees the stub, while /api/nodes/models
reads the registry and correctly sees nothing. It never self-healed,
and both frontend replicas showed it independently.

The replica-removed chokepoint could not fix this as it stood, because
it held a SINGLE hook that the prefix cache already owned, and it was
registered only when the prefix cache was enabled. Registering a second
listener would have silently displaced the first.

  - Turn replicaRemovedHook into a list (AddReplicaRemovedHook), so
    independent subsystems can each register without displacing others.
  - Add NewLocalStubInvalidator, which drops the local stub once no
    healthy replica of the model remains anywhere in the cluster, and
    wire it unconditionally in startup.

The stub is kept while another node still serves the model: the
frontend is right to consider it loaded, and each request re-routes
through SmartRouter to pick a live replica anyway.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-5 [Claude Code]

* fix(distributed): stop staging checksum sidecars back to workers

The file transfer server writes a "<file>.sha256" sidecar next to every
file it accepts. The sender walked the model directory with no filter,
so it staged those sidecars too, and the receiver duly wrote a sidecar
for each sidecar. Every staging pass multiplied the tree:

  config.json -> config.json.sha256 -> config.json.sha256.sha256 -> ...

One LongCat snapshot had grown to 498 files, 466 of them chained, up to
29 levels deep, and the staged file count climbed on every pass. This
inflates each transfer and grows disk without bound on both ends.

Skip hash sidecars in stageDirectory, and mirror the skip in
countStageableFiles so the progress bar still reaches 100%. The check is
"a sidecar sitting next to a real file" rather than a blanket suffix
ban, so a model that genuinely ships a .sha256 payload with no
corresponding base file is still transferred.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-5 [Claude Code]

* fix(distributed): classify the liveness probe instead of gating on in_flight

The previous commit excluded replicas with in-flight requests from the probe
reaper. That was the wrong guard, and could invert the bug it fixed.

in_flight has no decrement guarantee: track() balances its increment with a
defer, but a frontend killed mid-request never runs it, and the load-time
reservation is released only when the first inference completes. Nothing
resets a leaked counter. Gating the reaper on it therefore meant a leaked
counter would shield a genuinely dead replica from ever being reaped.

Nor was patience alone a fix: three misses at the default interval is ~90s of
silence, while the generation that triggered this blocks for 15+ minutes.

The real conflation was in the probe itself. A gRPC HealthCheck against the
backend's serving port measures "is it idle enough to answer", not "does the
process exist", and probeLoadedModels discarded the error that tells them
apart. Because the gRPC client is lazy, the status code is decisive:

  - DeadlineExceeded: transport fine, nothing serviced the RPC. Busy.
  - Unavailable: nothing is listening. Gone.

ModelProber now returns a ProbeOutcome, and only ProbeUnreachable counts
toward the reap threshold. ProbeBusy clears the streak: it is evidence of
life. A blackholed network reads as busy too, deliberately, since whole-node
failure is the health monitor's job.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-5 [Claude Code]

* feat(distributed): reconcile replicas against worker-reported processes

Probing a backend's own serving port cannot distinguish "busy" from "gone"
without inferring it from an error code. The worker can answer directly: it
spawned the process, holds the handle, and its reply is not blocked by
whatever that backend is doing.

Adds a models.running request-reply subject. The worker answers out of its
in-memory process table, reporting each live process as (modelID,
replicaIndex, address) — the supervisor's process keys are `modelID#replica`,
which is isomorphic to a NodeModel row, so the reconciler can diff the two
directly.

reconcileNodeProcesses runs before the port probe and reaps rows for models
the worker is not running. Models the worker vouches for get updated_at
bumped, which takes them out of the port prober's stale set entirely: that is
what keeps a backend deep in a long generation away from the probe in the
first place, rather than relying on classifying its silence after the fact.

A worker that does not answer is skipped, not assumed empty. A messaging
failure says nothing about the processes, and assuming the worst would delete
a node's rows on a transient NATS blip; the port probe stays as the fallback
for those nodes. Rows younger than probeStaleAfter are ignored so a freshly
created row is never judged against a process table that has not caught up.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-5 [Claude Code]

* fix(distributed): stop in_flight leaking and pin replicas against eviction

A leaked in_flight counter is not cosmetic. FindLRUModel,
FindGlobalLRUModelWithZeroInFlight and the router's eviction query all require
in_flight = 0, so a replica whose counter never came back is pinned and its
VRAM is unreclaimable for the lifetime of the process.

Two halves.

The source: routing reserves in_flight = 1 at load time so a freshly loaded
replica is not evicted out from under the request that caused the load. That
reservation was released ONLY by the first inference completing, so a route
torn down before any inference ran (client disconnect, handler error, failure
between load and the backend call) stranded it. newRouteResult now wires the
reservation to a sync.Once fired by whichever comes first, the first inference
or route teardown, and replaces three copies of the old wiring.

The backstop: a sweeper for counters leaked by paths that cannot run a defer
at all, such as a frontend killed mid-request.

Identifying a leak by elapsed time alone is unsafe. IncrementInFlight stamps
last_used at request START and nothing moves it while the request runs, so a
long generation is indistinguishable from a leak by age, and resetting there
would expose a serving model to eviction. The probe supplies the missing bit:
a backend that answers a health check promptly is not inside a request,
because that is precisely what a busy one cannot do. Requiring the row to also
be idle for 30 minutes covers backends that serve in parallel and can answer
while working, since those keep last_used fresh through each new increment.

Two existing tests asserted the old behaviour ("No decrement on Release").
That assertion was the leak, so both now pin the release instead.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-5 [Claude Code]

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-27 18:36:31 +02:00
mudler's LocalAI [bot]
e9c2754fc2 chore(model-gallery): propose variant groupings for review (#11139)
chore(model-gallery): propose variant groupings

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-27 09:48:23 +02:00
mudler's LocalAI [bot]
0a8a7fbbb4 chore(llama-cpp): bump llama.cpp and adapt to the load-mode refactor (#11140)
Bump LLAMA_VERSION to 0d47ea7427463093e69128bf2c2f9cd06b3ee5b3 (73 commits
touching common/, src/ and tools/server/). Two upstream changes break the
backend:

* ggml-org/llama.cpp#20834 folded common_params::use_mmap / use_mlock /
  use_direct_io into a single `load_mode` enum. LocalAI still exposes the three
  as independent settings (`mmap`, `mmlock`, and the `direct_io` option), so
  params_parse folds them once all three have been read, keeping the precedence
  the separate booleans had: direct I/O bypasses the page cache, mlock implies
  mmap, everything off is a plain buffered read. turboquant and bonsai compile
  this same grpc-server.cpp against forks that predate the refactor, so
  prepare.sh probes the checkout for LLAMA_LOAD_MODE_MMAP and generates
  llama_compat.h with LOCALAI_LEGACY_LOAD_MODE set accordingly. Probing beats a
  per-fork build flag here because the fork flavor targets disagree on whether
  they forward CMAKE_ARGS or EXTRA_CMAKE_ARGS, and it heals itself once a fork
  rebases past the refactor.

* The MiniMax M3 patch no longer applies. Upstream merged the model half of
  llama.cpp#24523 (LLM_ARCH_MINIMAX_M3, src/models/minimax-m3.cpp, the gguf-py
  constants and conversion/minimax.py) but not the chat half, so the patch is
  re-cut to carry only the common/chat.cpp template detection and PEG parser,
  rebased onto the new pin and onto the thinking_end_tag -> thinking_end_tags
  rename. Dropping it wholesale (as #11008 did, reverted in #11136) would have
  silently regressed MiniMax M3 tool calling and thinking.

Verified with a CPU docker build of the backend plus LoadModel and Predict
against a real GGUF over gRPC in all four load modes.


Assisted-by: Claude:claude-opus-5 [Claude Code]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-27 07:02:29 +00:00
Ettore Di Giacinto
d9f3007876 Revert "chore: ⬆️ Update ggml-org/llama.cpp to d2a818231effb12b7b20b80b3b8c7756a9a33a04" (#11136)
Revert "chore: ⬆️ Update ggml-org/llama.cpp to `d2a818231effb12b7b20b…"

This reverts commit 6e69dbd617.
2026-07-27 01:16:04 +02:00
mudler's LocalAI [bot]
6e69dbd617 chore: ⬆️ Update ggml-org/llama.cpp to d2a818231effb12b7b20b80b3b8c7756a9a33a04 (#11008)
* ⬆️ Update ggml-org/llama.cpp

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

* fix(llama-cpp): drop upstreamed MiniMax M3 patch

The pinned llama.cpp revision already contains MiniMax M3 support, so the downstream patch rejects during backend preparation on every platform.

Assisted-by: Codex:gpt-5

---------

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-07-27 01:15:06 +02:00
mudler's LocalAI [bot]
19ffc33011 chore: ⬆️ Update leejet/stable-diffusion.cpp to 2d0385ba85af358f7115dda608a63eafd9de7ffd (#11132)
⬆️ Update leejet/stable-diffusion.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-27 01:00:05 +02:00
mudler's LocalAI [bot]
76ce4f59b6 chore: ⬆️ Update vllm-metal (darwin) to v0.3.0.dev20260726174827 (#11133)
⬆️ Update vllm-project/vllm-metal (darwin)

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-26 23:14:03 +02:00
dependabot[bot]
4f883c86a9 chore(deps): bump postcss from 8.5.15 to 8.5.23 in /core/http/react-ui in the npm_and_yarn group across 1 directory (#11106)
chore(deps): bump postcss

Bumps the npm_and_yarn group with 1 update in the /core/http/react-ui directory: [postcss](https://github.com/postcss/postcss).


Updates `postcss` from 8.5.15 to 8.5.23
- [Release notes](https://github.com/postcss/postcss/releases)
- [Changelog](https://github.com/postcss/postcss/blob/main/CHANGELOG.md)
- [Commits](https://github.com/postcss/postcss/compare/8.5.15...8.5.23)

---
updated-dependencies:
- dependency-name: postcss
  dependency-version: 8.5.23
  dependency-type: indirect
  dependency-group: npm_and_yarn
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-07-26 23:13:42 +02:00
mudler's LocalAI [bot]
c56373d772 chore(model-gallery): ⬆️ update checksum (#11134)
⬆️ Checksum updates in gallery/index.yaml

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-26 23:10:11 +02:00
Tai An
53006bb8e1 fix(realtime): accept legacy 'modalities' alias for output_modalities (fixes #11103) (#11104)
* fix(realtime): accept legacy 'modalities' alias for output_modalities

OpenAI's Realtime *beta* used the field name `modalities`; the GA field is
`output_modalities`. LocalAI only binds `output_modalities`, so a client
sending the still-common beta field `modalities: ["text"]` has it silently
dropped by encoding/json and the session falls back to audio: TTS runs and the
client receives large response.output_audio.* frames even though it asked for
text-only.

Accept `modalities` as an alias on both session.update (RealtimeSession) and
response.create (ResponseCreateParams). The GA `output_modalities` wins when
both are present, so GA clients are unaffected. Applied at the two existing
resolution points via a small modalitiesWithAlias helper.

Fixes #11103

Signed-off-by: Anai-Guo <antai12232931@anaiguo.com>

* test(realtime): add JSON-boundary regression for modalities alias

Decode representative session.update and response.create payloads that
carry only the legacy beta `modalities` key and assert the effective
output modality resolves to text (not audio), reproducing the exact
expressions used in updateSession and triggerResponseAtTurn. This guards
against a wrong JSON tag or a missed call site letting encoding/json drop
the alias silently.

Also document output_modalities (and the accepted legacy modalities
alias) for text-only sessions in the realtime feature docs.

Signed-off-by: Tai An <antai12232931@outlook.com>

---------

Signed-off-by: Anai-Guo <antai12232931@anaiguo.com>
Signed-off-by: Tai An <antai12232931@outlook.com>
Co-authored-by: Anai-Guo <antai12232931@anaiguo.com>
2026-07-26 23:09:30 +02:00
mudler's LocalAI [bot]
62e3b8304e chore: ⬆️ Update CrispStrobe/CrispASR to 306faee45fab641d54f9f941f075de1e9c0d3278 (#11131)
⬆️ Update CrispStrobe/CrispASR

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-26 23:05:50 +02:00
mudler's LocalAI [bot]
2476509321 chore: ⬆️ Update ikawrakow/ik_llama.cpp to 0a4e10c7fb65d2dd5a4afb78339c7d373a8cdfaa (#11128)
⬆️ Update ikawrakow/ik_llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-26 23:05:22 +02:00
dependabot[bot]
ac9352ef54 chore(deps): bump actions/setup-node from 4 to 7 (#11080)
Bumps [actions/setup-node](https://github.com/actions/setup-node) from 4 to 7.
- [Release notes](https://github.com/actions/setup-node/releases)
- [Commits](https://github.com/actions/setup-node/compare/v4...v7)

---
updated-dependencies:
- dependency-name: actions/setup-node
  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>
2026-07-26 23:05:07 +02:00
mudler's LocalAI [bot]
4baa36ddd8 feat(backend): vllm-cpp - text-generation backend for vllm.cpp with llama.cpp-parity tool calling (#11100)
* feat(backend): add vllm-cpp text-generation backend (vllm.cpp)

Wrap https://github.com/mudler/vllm.cpp - the LocalAI-team from-scratch C++20
port of vLLM (paged KV cache, continuous batching, prefix caching, safetensors
+ GGUF loading, no Python at inference) - as a Go gRPC backend over its stable
C ABI (ABI v2) via purego.

Backend (backend/go/vllm-cpp):
- Load -> vllm_engine_load: accepts a .gguf file or a config.json model dir
  (anything else is refused, satisfying the greedy-probe rule); context_size
  maps to max_model_len, options block_size/num_blocks/max_num_seqs size the
  KV cache and scheduler admission.
- Predict -> vllm_complete (blocking); PredictStream -> vllm_complete_stream
  with the per-delta C callback bridged into the gRPC stream. The backend
  embeds base.Base (not SingleThread): concurrent requests batch continuously
  in the engine's shared AsyncLLM scheduler.
- PredictOptions.Grammar -> the ABI's structured_grammar (GBNF), giving
  grammar-constrained tool calling at parity with llama-cpp; the ABI also
  exposes JSON-schema/regex/choice constraints.
- Hand-mirrored POD structs with layout locked by unit tests
  (unsafe.Offsetof vs the C offsets) and a runtime vllm_abi_version gate.
- One portable library per platform (vllm.cpp uses per-file SIMD tiers with
  runtime dispatch), so no avx/avx2/avx512 variant builds.

Wiring:
- backend-matrix: CPU amd64+arm64 (per-arch + manifest merge), CUDA 12/13
  amd64 (120a;121a Blackwell fat binary), L4T arm64 (121a, GB10/DGX Spark -
  the runtime-proven GPU target), Vulkan amd64, and Darwin arm64 Metal.
- backend/index.yaml meta + 12 image entries (latest/development x cpu,
  cuda12, cuda13, l4t, vulkan, metal); bump_deps registration for the
  VLLM_CPP_VERSION pin; root Makefile registration; test-extra runs the unit
  specs (pure Go, no engine build).
- Importers: preference-only swaps - llama-cpp (GGUF) and vllm (safetensors)
  advertise vllm-cpp via AdditionalBackends and emit backend: vllm-cpp
  without tokenizer templating (the C ABI takes the FINAL prompt; templating
  and tool parsing stay LocalAI-side). No auto-detect importer.
- Docs: backends list, top-level README maintained-engines table,
  compatibility table.

Verified: 20/20 Ginkgo specs against the real pinned engine and
Qwen3.5-2B-UD-Q8_K_XL.gguf on CPU - blocking + streaming parity, greedy
determinism, stop words, GBNF-constrained generation, and 4 concurrent
streams; plus a dlopen/ABI-gate smoke of the built gRPC server binary.
Upstream ABI v2 + production structured-output wiring landed as
mudler/vllm.cpp@86013f3.

Assisted-by: Claude Code:claude-fable-5

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

* feat(vllm-cpp): ride the autoparser code path - engine-side chat templating and tool engagement (ABI v3)

The backend now implements AIModelRich (PredictRich / PredictStreamRich) over
vllm.cpp's ABI v3 chat entry points, so chat and tool calling ride the SAME
code path as the llama.cpp autoparser: the ENGINE renders the model's chat
template, decides when a tool call engages, and parses it - LocalAI receives
pre-parsed ChatDelta / ToolCallDelta protos exactly as it does from llama-cpp.

- With use_tokenizer_template + structured Messages, PredictOptions lowers to
  ONE OpenAI chat request JSON (messages, tools, tool_choice, sampling,
  stream_options.include_usage) for vllm_chat / vllm_chat_stream. tool_choice
  auto lowers engine-side to a LAZY structural-tag decode constraint - free
  text until the model emits the tool trigger, then the call is
  grammar-constrained; required/named force a call. Tool output is parsed by
  the engine's streaming Hermes-style parser; each chat.completion.chunk maps
  onto ChatDeltas (content / reasoning_content / tool_calls) which the host
  already prefers over Go-side tag extraction. Without structured messages the
  plain path (LocalAI templating + optional GBNF grammar) applies unchanged.
- The engine resolves the chat template from the GGUF tokenizer.chat_template
  metadata (or tokenizer_config.json); templates beyond its minja subset -
  e.g. the full Qwen3.5 namespace()/macro template - degrade engine-side to a
  Hermes-aware fallback prompt (tools schemas + <tool_call> instruction) with
  a stderr witness, so structural-tag engagement keeps working.
- Importers now emit the same config shape as llama-cpp for vllm-cpp
  (use_tokenizer_template: true, no-grammar autoparser flow); only the
  llama-cpp-specific use_jinja option and the vllm-python parser options are
  dropped.
- Pin bumped to mudler/vllm.cpp@aaed7ec (ABI v3 + chat-prompt resolution).

Verified against the real engine and Qwen3.5-2B-UD-Q8_K_XL.gguf on CPU: full
suite green - blocking chat, streaming deltas concatenating byte-equal to the
blocking answer, a REQUIRED tool call returning schema-valid arguments JSON,
and an AUTO run where the engine itself engages get_weather and streams parsed
tool deltas; plus unit specs for the request lowering, chunk->ChatDelta
mapping, and the C struct mirrors (ABI gate now v3).

Assisted-by: Claude Code:claude-fable-5

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

* feat(vllm-cpp): ABI v5 - engine-side parser selection for 30 tool dialects + reasoning

Bump the vllm.cpp pin to the autoparser-parity engine: 30 tool-call dialects
(every pure-text parser in the pinned vLLM registry, each ported 1:1 with its
upstream tests), 7 reasoning parsers, google/minja as the template renderer
(the full Qwen3.5 template now renders engine-side), per-family structural
tags (tool_choice required/named compiles the model's NATIVE syntax where
expressible), and template auto-detection for both parser axes.

Backend changes:
- cModelParams mirrors ABI v5 (tool_parser + reasoning_parser fields,
  layout-locked by the offset tests; ABI gate now v5).
- New model options tool_parser:<name> / reasoning_parser:<name> pass through
  to the engine; unset means template auto-detection (18-row tool marker
  table; [THINK]->mistral, <think>->think_auto for reasoning); "none"
  disables the reasoning split; unknown names fail the first chat call.
- Chat chunks parse the `reasoning` field (the pin renamed
  reasoning_content), flowing into ChatDelta.ReasoningContent which the host
  already prefers.

Live e2e against Qwen3.5-2B-UD-Q8_K_XL.gguf on CPU, full suite green: the
real chat template renders (no more fallback), reasoning auto-detection picks
think_auto so markerless answers stay pure content (the live run caught the
deepseek_r1 content-swallow upstream and drove the think_auto fix), required
tool_choice returns schema-valid arguments, auto tool_choice engages
engine-side and streams parsed deltas, and blocking/streaming stay
byte-identical. Turn latency also dropped (proper template EOS behavior).

Upstream program landed as mudler/vllm.cpp 86013f3..5fffe7e (ABI v2-v5,
minja, parser waves B1/B2/B4, reasoning seam, structural-tag registry,
think_auto).

Assisted-by: Claude Code:claude-fable-5

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

* chore(vllm-cpp): bump the engine pin to the ENG-wave close-out

mudler/vllm.cpp@df8909b: the six engine-backed vLLM tool-parser families
(qwen3-coder/xml/mimo, kimi_k2, glm45/47, minimax_m2, gemma4, seed_oss)
text-reimplemented from their wire formats and held to the upstream test
suites - 39 registered dialects; the pinned vLLM registry is now covered
except the three Rust/Harmony-backed families, descoped by decision. kimi_k2
also gains a full native structural-tag builder; four new template
auto-detection rows land with test-pinned ordering.

Full backend e2e re-run green against Qwen3.5-2B-UD-Q8_K_XL.gguf on CPU.

Assisted-by: Claude Code:claude-fable-5

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

* fix(vllm-cpp): add the vllm-cpp-development gallery meta

The gallery grew the twelve latest/development image entries but was missing
the separate vllm-cpp-development meta (own capabilities map targeting the
-development image names), which every backend ships so the development
gallery resolves per-platform. Validated: all capability targets in both
metas resolve to existing entries, and every image URI's tag suffix matches
a backend-matrix build.

Also full-stack verified in this change's context (single-node local-ai from
this branch, locally-built backend under --backends-path, Qwen3.5-2B GGUF):
/v1/chat/completions non-stream (clean content + usage), streaming (SSE
deltas), tool_choice auto engaging get_weather engine-side with schema-valid
arguments and finish_reason=tool_calls, and streamed tool-call deltas in the
standard name-first cadence.

Assisted-by: Claude Code:claude-fable-5

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

* fix(vllm-cpp): repair the CI backend builds - gcc-14 -Werror + fat-arch Triton

Two distinct failures took down all five vllm-cpp backend builds on the PR:

1. gcc-14 (ubuntu:24.04 CI images; the local toolchain is gcc-13) fails the
   engine build with -Werror=maybe-uninitialized in InputBatch::condense - a
   false positive through a staging std::optional's raw storage. Fixed
   upstream (mudler/vllm.cpp@61f3e85) by moving slot-to-slot directly;
   verified BOTH ways under dockerized g++-14.2 (unfixed reproduces CI's two
   diagnostics exactly, fixed compiles clean) with the engine's behavior
   suites green. Pin bumped to that sha.

2. The amd64 CUDA builds died at CMake configure: the vendored Triton-AOT
   cubin trees are per-arch and the engine refuses -DVLLM_CPP_TRITON=ON on a
   multi-arch (120a;121a) fat build unless pinned to one tree, which would be
   unsound for the other arch. Triton is now enabled only on the single-arch
   arm64/GB10 build (where the cubins matter); the fat amd64 binary uses the
   engine's non-AOT GDN path.

Backend e2e re-run green at the new pin (Qwen3.5-2B on CPU, full suite).

Assisted-by: Claude Code:claude-fable-5

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

* fix(vllm-cpp): cuda-12 images cannot compile compute_121a - target 120a only

The second CI round surfaced a CUDA-version constraint: the cuda-12 (12.8)
image's nvcc rejects 'compute_121a' (GB10 arch support landed with CUDA 13),
killing the amd64 cuda-12 build at nvcc. Gate the architecture list on
CUDA_MAJOR_VERSION (exported by Dockerfile.golang): cuda-12 builds consumer
Blackwell 120a only, cuda-13 keeps the 120a;121a fat binary, arm64/l4t
(cuda-13) keeps single-arch 121a with the Triton cubins. GB10 is arm64, so
the amd64 cuda-12 image never served it - no capability change.

Verified by Makefile dry-run variable dumps for all three combinations
(cuda12 -> 120a; cuda13 -> 120a;121a; cpu -> CUDA off).

Assisted-by: Claude Code:claude-fable-5

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

* fix(vllm-cpp): drop the cuda-12 variant - the engine needs the CUDA 13 toolchain

Third CI round, third layer: with the arch list already narrowed to 120a,
the cuda-12 (12.8) build still dies in ptxas compiling the sm_120a NVFP4 MMA
kernels ("Vector type too large, exceeds 128 bit limit") - the Blackwell fp4
path genuinely requires the CUDA 13 toolchain, and vllm.cpp supports
Blackwell-family GPUs only. Shipping a cuda-12 image without the fp4 kernels
would be a crippled build of an engine whose whole GPU story is fp4, so the
variant is dropped instead:

- backend-matrix: cuda-12 vllm-cpp entry removed (cuda-13 amd64, l4t arm64,
  cpu, vulkan, metal remain).
- gallery: cuda12 image entries removed; the nvidia capability now resolves
  to the cuda13 image in both metas; the nvidia-cuda-12 key is dropped so
  older-driver hosts fall back to the CPU image instead of an unrunnable one.
- backend Makefile: BUILD_TYPE=cublas under CUDA_MAJOR_VERSION=12 now fails
  fast with a clear message; cuda-13 keeps the 120a;121a fat binary and
  arm64/l4t keeps 121a with the Triton cubins.

Verified: Makefile branch dumps for all four combinations (cuda12 loud
error, cuda13 fat, arm64 121a+Triton, cpu off), YAML parses, matrix filter
tests green, gallery capability targets all resolve.

Assisted-by: Claude Code:claude-fable-5

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

* fix(vllm-cpp): forward multi-turn tool identity and reasoning to the engine

chatRequestJSON dropped Message.ToolCallId and Message.Name on role="tool"
replies and Message.ReasoningContent on assistant history, so a second
turn after tool execution reached the engine's chat template without the
fields that bind a tool result to the call it answers. Forward all three
(present-only, matching the OpenAI wire shape) and pin vllm.cpp to
6a0bd3e7, where ChatMessage parses/round-trips tool_calls, tool_call_id,
name and reasoning and the minja adapter exposes them to the template
context.

Adds the round-trip request-lowering spec (user -> assistant tool_call ->
tool reply -> lowered request) and re-ran the gated e2e suite against the
new engine pin with a real Qwen3.5 GGUF: chat, reasoning split, streaming
parity, required-tool and auto-tool cases all green.

Assisted-by: Claude Code:claude-fable-5 [Bash] [Edit] [Read]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix(vllm-cpp): bump vllm.cpp for the darwin arm64 i8mm build fix

The darwin-metal CI job was the first build to compile the engine's arm
CPU-quant files on macOS and hit their Linux-only <asm/hwcap.h> /
<sys/auxv.h> includes. vllm.cpp 9e1c9025 detects i8mm per-OS (auxv on
Linux, sysctl on Apple Silicon) with kernels untouched. Gated e2e suite
re-run green against the new pin with a real Qwen3.5 GGUF.

Assisted-by: Claude Code:claude-fable-5 [Bash] [Read]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix(vllm-cpp): darwin build - bound cmake parallelism when nproc is absent

The macOS runners have no nproc, so JOBS evaluated empty and
`cmake --build -j$(JOBS)` became bare `-j`: unlimited clang jobs on a
3-core/7GB Mac, which swap-thrashed until the 6h GHA timeout (the log
shows "nproc: Command not found" and 7+ concurrent clang processes being
reaped at the cutoff). Use the same portable fallback chain as the other
darwin backends: nproc, then sysctl hw.ncpu, then 4.

Assisted-by: Claude Code:claude-fable-5 [Bash] [Edit] [Read]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-26 23:04:48 +02:00
mudler's LocalAI [bot]
90355cd444 chore: ⬆️ Update mudler/magpie-tts.cpp to 3008ff73fc2d2da9e4d743b09350aa7023e8980c (#11126)
⬆️ Update mudler/magpie-tts.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-26 00:37:10 +02:00
mudler's LocalAI [bot]
02bccadef9 chore: ⬆️ Update ServeurpersoCom/qwentts.cpp to 35ebe5376b82a0a59d008586d55bbe623d449011 (#11127)
⬆️ Update ServeurpersoCom/qwentts.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-26 00:36:58 +02:00
mudler's LocalAI [bot]
0b216b63f0 chore: ⬆️ Update CrispStrobe/CrispASR to b516d8402c994f8455701f38dfbe578907328db7 (#11124)
⬆️ Update CrispStrobe/CrispASR

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-26 00:03:49 +02:00
mudler's LocalAI [bot]
86c81c0e56 chore: ⬆️ Update vllm-metal (darwin) to v0.3.0.dev20260725151812 (#11123)
⬆️ Update vllm-project/vllm-metal (darwin)

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-26 00:02:17 +02:00
mudler's LocalAI [bot]
9091a1f2e4 chore: ⬆️ Update vllm-project/vllm cu130 wheel to 0.26.0 (#11125)
⬆️ Update vllm-project/vllm cu130 wheel

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-26 00:02:02 +02:00
mudler's LocalAI [bot]
6dadaea91c chore(model-gallery): ⬆️ update checksum (#11129)
⬆️ Checksum updates in gallery/index.yaml

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-26 00:01:41 +02:00
mudler's LocalAI [bot]
decb606216 feat(swagger): update swagger (#11122)
Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-26 00:01:19 +02:00
mudler's LocalAI [bot]
5d57c08c6e feat(distributed): cache staged-artifact hashes and publish the model load lifecycle (#11121)
feat(distributed): cache staged-artifact hashes and publish load lifecycle

Every load request re-hashed every staged artifact on the controller
(probeExisting and the upload path both re-read the full file), which for
a large multi-file model on NAS-backed storage is minutes of pure
re-reading per request even when nothing changed - observed as ~9 minutes
of "Upload skipped (file already exists with matching hash)" before every
avatar generation. Cache the local hash in the same .sha256 sidecar the
worker-side transfer server already maintains, invalidated whenever the
sidecar is older than the file.

The whole staging+loading phase was also invisible: the NodeModel row was
only written after LoadModel succeeded, so /api/nodes and the UI showed
nothing while a cold load spent 10+ minutes staging - indistinguishable
from nothing happening. Publish the lifecycle instead: "staging" as soon
as the node is chosen, "loading" when the checkpoint load starts, and the
existing "loaded" on success, with the row removed on any failure so a
dead load does not leave a phantom replica. The early row also reserves
the replica slot against concurrent schedulers. The nodes view already
renders non-loaded states on model chips; style "staging" like "loading".

Audited every state-filtered registry/router query: eviction, routing,
reconciler and idle-model queries all filter state='loaded' explicitly,
so the new transitional rows are visible to observability surfaces but
inert to scheduling decisions (except slot occupancy, intentionally).

Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-25 16:05:44 +02:00
mudler's LocalAI [bot]
0d82efde2b fix(gallery): coalesce Hugging Face artifact progress (#11117)
* fix(gallery): coalesce artifact download progress

Buffer high-frequency downloading events and forward only the latest event on a periodic tick. Flush progress synchronously at phase boundaries and shutdown to preserve ordering and final state.

Assisted-by: Codex:gpt-5

* fix(gallery): wire progress coalescing into model installs

Route artifact progress through the 250 ms coalescer and flush it on every model operation exit. Keep the legacy download callback unchanged.

Assisted-by: Codex:gpt-5

---------

Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-25 08:39:07 +02:00
mudler's LocalAI [bot]
2d889e61a6 feat(backend): add magpie-tts-cpp text-to-speech backend (#11115)
* feat(backend): add magpie-tts-cpp text-to-speech backend

Add a Go + purego backend wrapping the magpie-tts.cpp ggml port of NVIDIA's
Magpie TTS Multilingual 357M (encoder + autoregressive decoder over NanoCodec
tokens), producing 22.05 kHz mono audio in 5 baked voices (Aria, Jason, John,
Leo, Sofia; case-insensitive names or indices 0-4) across 9+ languages from a
single self-contained GGUF. Mirrors qwen3-tts-cpp / moss-tts-cpp: dlopen the
static-ggml shared library, bind the flat magpie_tts_capi_* C-API via purego
(no local C shim needed, the upstream .so exports it directly), and serve the
gRPC TTS + TTSStream methods behind base.SingleThread (the C context is not
reentrant across synthesize calls).

The backend CMakeLists translates the Makefile's -DGGML_{CUDA,METAL,VULKAN,HIP}
flags into upstream's MAGPIE_GGML_* toggles (upstream FORCE-overwrites the ggml
cache entries from those), pinned to magpie-tts.cpp v0.1.1
(e3f3dd1ebe22b64e7405f93b519f2d1930712568), which statically links ggml into
libmagpie-tts.so (ldd shows only system libs).

Wires the full registration: backend-matrix.yml (CPU amd64/arm64, CUDA 12/13,
Intel SYCL f16/f32, Vulkan amd64/arm64, ROCm, NVIDIA L4T + L4T CUDA 13, and
Darwin metal), backend/index.yaml metas and image entries, the root Makefile
build targets, the changed-backends backend-filter path mapping, the bump_deps
auto-bump matrix, a test-extra per-backend smoke job, the /backends/known
pref-only importer entry, the backend capabilities map (TTS + TTSStream, no
voice cloning), and the README / compatibility-table docs rows.

Verified locally: unit + e2e Ginkgo suites pass against the real q8_0 GGUF
(22.05 kHz mono WAV, RMS > 0.01), a live gRPC LoadModel + TTS round-trip
returns valid non-silent audio, and the pre-commit gates (make lint,
make test-coverage-check) pass, run manually with LOCALAI_TEST_HTTP_PORT
overriding the locally-occupied 9090.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* gallery: add magpie-tts-cpp model entries (q8_0 + f16)

Add the Magpie TTS Multilingual 357M GGUFs from mudler/magpie-tts.cpp-gguf to
the model gallery: q8_0 (~624 MB, near-lossless, fastest decode, recommended)
with an f16 (~784 MB) variant, both served by the magpie-tts-cpp backend.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

* magpie-tts-cpp: bump pin to rewritten upstream v0.1.1 SHA

Upstream history was rewritten to purge accidentally committed build
artifacts; v0.1.1 now resolves to 6f7696cf.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

---------

Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-07-25 08:38:48 +02:00
mudler's LocalAI [bot]
130daa0c55 chore: ⬆️ Update leejet/stable-diffusion.cpp to 87a01773be23b996e38217a6a574c2de08ac560f (#11111)
⬆️ Update leejet/stable-diffusion.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-25 01:20:23 +02:00
mudler's LocalAI [bot]
cda67dfb87 chore(model-gallery): ⬆️ update checksum (#11108)
⬆️ Checksum updates in gallery/index.yaml

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-25 01:20:12 +02:00
mudler's LocalAI [bot]
a32a53fa8a chore: ⬆️ Update CrispStrobe/CrispASR to 2f26702117b4c7697d0fd421b6ee77cd7757ca0d (#11109)
⬆️ Update CrispStrobe/CrispASR

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-25 01:19:46 +02:00
mudler's LocalAI [bot]
05e16e0fa8 chore: remove local pre-commit gates (#11116)
Remove the versioned pre-commit hook and its installer while retaining CI coverage and conformance checks.

Assisted-by: Codex:gpt-5

Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-25 01:19:32 +02:00
mudler's LocalAI [bot]
0d26de23ca chore: ⬆️ Update vllm-metal (darwin) to v0.3.0.dev20260724093932 (#11105)
⬆️ Update vllm-project/vllm-metal (darwin)

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-25 00:05:55 +02:00
mudler's LocalAI [bot]
f92301f40c chore: ⬆️ Update ikawrakow/ik_llama.cpp to f359df4bc9a5e864029cbec4cb608e95f3500ce6 (#11107)
⬆️ Update ikawrakow/ik_llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-24 23:52:06 +02:00
dependabot[bot]
7c95b25bd9 chore(deps): bump grpcio from 1.82.1 to 1.83.0 in /backend/python/transformers (#11085)
chore(deps): bump grpcio in /backend/python/transformers

Bumps [grpcio](https://github.com/grpc/grpc) from 1.82.1 to 1.83.0.
- [Release notes](https://github.com/grpc/grpc/releases)
- [Commits](https://github.com/grpc/grpc/compare/v1.82.1...v1.83.0)

---
updated-dependencies:
- dependency-name: grpcio
  dependency-version: 1.83.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-07-24 22:48:23 +02:00
dependabot[bot]
6ad5df4f7c chore(deps): bump sentence-transformers from 5.6.0 to 5.6.1 in /backend/python/transformers (#11084)
chore(deps): bump sentence-transformers in /backend/python/transformers

Bumps [sentence-transformers](https://github.com/huggingface/sentence-transformers) from 5.6.0 to 5.6.1.
- [Release notes](https://github.com/huggingface/sentence-transformers/releases)
- [Commits](https://github.com/huggingface/sentence-transformers/compare/v5.6.0...v5.6.1)

---
updated-dependencies:
- dependency-name: sentence-transformers
  dependency-version: 5.6.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-07-24 22:46:38 +02:00
dependabot[bot]
8aa5305790 chore(deps): bump grpcio from 1.82.1 to 1.83.0 in /backend/python/vllm (#11086)
Bumps [grpcio](https://github.com/grpc/grpc) from 1.82.1 to 1.83.0.
- [Release notes](https://github.com/grpc/grpc/releases)
- [Commits](https://github.com/grpc/grpc/compare/v1.82.1...v1.83.0)

---
updated-dependencies:
- dependency-name: grpcio
  dependency-version: 1.83.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-07-24 22:46:02 +02:00
dependabot[bot]
c786edec47 chore(deps): bump grpcio from 1.82.1 to 1.83.0 in /backend/python/coqui (#11083)
Bumps [grpcio](https://github.com/grpc/grpc) from 1.82.1 to 1.83.0.
- [Release notes](https://github.com/grpc/grpc/releases)
- [Commits](https://github.com/grpc/grpc/compare/v1.82.1...v1.83.0)

---
updated-dependencies:
- dependency-name: grpcio
  dependency-version: 1.83.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-07-24 22:33:32 +02:00
mudler's LocalAI [bot]
6124498e17 chore: ⬆️ Update vllm-metal (darwin) to v0.3.0.dev20260723125609 (#11087)
⬆️ Update vllm-project/vllm-metal (darwin)

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-24 22:31:28 +02:00
mudler's LocalAI [bot]
35d3a43053 chore: ⬆️ Update leejet/stable-diffusion.cpp to 5114672c482012d77d24bbd09eae86b53c48256b (#11088)
⬆️ Update leejet/stable-diffusion.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-24 22:31:11 +02:00
mudler's LocalAI [bot]
983d77ed27 chore: ⬆️ Update antirez/ds4 to 0a7ad776b9068348e6cb09df8cafa9cadd285298 (#11089)
⬆️ Update antirez/ds4

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-24 18:33:57 +02:00
mudler's LocalAI [bot]
07dc4439aa chore: ⬆️ Update CrispStrobe/CrispASR to cf0fdbbe38ad0aa107e3250f6ee5bdc755aced45 (#11090)
⬆️ Update CrispStrobe/CrispASR

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-24 16:12:51 +02:00
mudler's LocalAI [bot]
a66f904a3c chore: ⬆️ Update ikawrakow/ik_llama.cpp to 31018dc51135a8a3ded085fa7e198befff19ebf4 (#11091)
⬆️ Update ikawrakow/ik_llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-24 15:05:53 +02:00
mudler's LocalAI [bot]
ce6c42d677 chore(model-gallery): ⬆️ update checksum (#11092)
⬆️ Checksum updates in gallery/index.yaml

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-24 15:05:40 +02:00
mudler's LocalAI [bot]
90d93c71cd fix(downloader): hash the partial file before issuing the resume request (#11099)
The stall watchdog arms as soon as the response body exists, but the
downloader then re-hashed the entire existing .partial before reading a
single byte from the network. On slow models storage (a CIFS share
reading at ~117MB/s) hashing a multi-GB partial outlasts the 60s stall
window, so the watchdog aborted every healthy resume with 'download
stalled: no data received for 1m0s'. The partial never grew, so every
retry re-paid the same hash and failed identically, wedging the install
permanently (any partial over ~7GB on such storage).

Open the partial and hash it before the HTTP request instead: the
watchdog now only measures actual network idle time, and the origin no
longer sits on an idle connection while the hash runs.

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>
2026-07-24 12:57:30 +02:00
Isabel Wu
977f663cb0 fix(trl): disable inline GRPO reward code by default (RCE, #11015) (#11068)
fix(trl): disable inline GRPO reward code by default (RCE)

POST /api/fine-tuning/jobs accepts reward_functions[].code, an inline Python
body, and compile_inline_reward() execs it against a restricted-builtins
allowlist (_SAFE_BUILTINS). That allowlist is not a security boundary:
().__class__.__bases__[0].__subclasses__() reaches os._wrap_close and thus
os.system, giving arbitrary code execution. The fine-tuning endpoint is
unauthenticated by default, so any caller could run code on the host.

Hardening the allowlist is a losing game against CPython introspection, so
inline reward code is now refused unless the operator explicitly opts in with
LOCALAI_TRL_ALLOW_INLINE_REWARD=true on the backend. Builtin reward functions
are unaffected. The gate lives in build_reward_functions(), the single point
all inline specs flow through. Docs updated to stop describing the allowlist as
a sandbox and to document the opt-in.

Fixes #11015

Signed-off-by: Isabel Wu <231155141+wuisabel-gif@users.noreply.github.com>
Co-authored-by: Isabel Wu <231155141+wuisabel-gif@users.noreply.github.com>
2026-07-23 23:10:34 +02:00
mudler's LocalAI [bot]
2fe10c3c4a fix(model-artifacts): persist companion artifacts so remote workers get the base_model option (#11075)
fix(model-artifacts): persist companion artifacts, not just the primary

A managed model can declare companion artifacts (LongCat-Video-Avatar-1.5
pulls its tokenizer, text encoder and VAE from the separate LongCat-Video
base repo via a target: companion artifact). preloadOne resolves the whole
set in memory, but the binding written back to disk carried only the
primary: persistArtifactBinding marshalled []Spec{result.Spec} and replaced
the entire artifacts: list with it, silently dropping every companion.

In a single process the loss is invisible because the in-memory config keeps
the companion. It bites on the next controller restart: the config reloads
from the mangled file with the primary alone, so withCompanionArtifactOptions
finds no resolved companion and synthesizes no base_model option. The remote
longcat-video backend then never receives base_model, falls back to
BASE_MODEL_ID and downloads the repo itself ("Downloading required files for
meituan-longcat/LongCat-Video"), failing the load with "base_model must point
to a LongCat-Video checkpoint".

This is why an explicit base_model:<path> added to the config options works
where the managed companion does not: an explicit option lives in options:,
which is never rewritten, while the managed companion lives in artifacts:,
which the binding overwrote.

Persist the full resolved set (primary + every companion), and widen
bindingNeedsPersistence to compare the whole artifact list so a companion
resolving for the first time still triggers a write. The single-node path is
unaffected: there the in-memory config already carried the companion, and the
staging/ModelPath resolution for a remote worker (nested per-model staged
root, #10949) is unchanged and already correct once the option is generated.

Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Edit] [Bash]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-23 16:50:50 +02:00
Tai An
aae69b1163 fix(ace-step): drop nonexistent Get* proto accessors in SoundGeneration (#11069) (#11072)
The Python gRPC bindings expose message fields as plain attributes
(request.language, request.caption), not Go/Java-style Get*() accessors.
Because request.language is an empty string when unset, the

    request.language or request.GetLanguage() or "en"

expression falls through to request.GetLanguage(), which does not exist
on the generated Python message and raises AttributeError, surfaced to
clients as:

    rpc error: code = Unknown desc = Exception calling application: GetLanguage

Every /v1/sound-generation request without an explicit language field
failed. Drop the bogus accessor calls (TTS already uses the plain-field
form a few lines below).

Signed-off-by: Tai An <antai12232931@outlook.com>
2026-07-23 15:00:26 +02:00
mudler's LocalAI [bot]
8d6fdf22d3 fix(backends): derive the protoc generator from the protobuf runtime, regenerate stubs after late installs (#11057)
* fix(backends): choose the protoc generator from the protobuf runtime, and regenerate stubs after late installs

The vLLM backends still crash on startup with

  VersionError: Detected incompatible Protobuf Gencode/Runtime versions when
  loading backend.proto: gencode 7.35.0 runtime 6.33.6

despite #10735 and #10944. Three separate defects kept it alive.

1. runProtogen picked the generator from the installed *grpcio* version.
   grpcio-tools' version tracks grpcio, but the gencode its bundled protoc
   emits tracks *protobuf*, and the two move independently: grpcio-tools
   1.82.1 (the version #10735 pins to, matching grpcio 1.82.1) requires
   protobuf>=7.35.1 and stamps gencode 7.35.0. Pinning to grpcio could
   therefore never constrain the gencode. Constrain the install to the
   protobuf already in the venv instead and let the resolver pick the newest
   compatible grpcio-tools. That both selects a generator the runtime accepts
   and stops protogen from moving the runtime under the backend's other deps.
   This is self-correcting, so the hardcoded GRPCIO_TOOLS_VERSION=1.78.0
   escape hatch from #10944 is no longer needed and is removed.

2. The stubs were generated too early. Most branches of vllm/install.sh (and
   vllm-omni) install vllm *after* installRequirements, and vllm re-resolves
   the protobuf runtime as it lands. Stubs generated against the pre-vllm
   runtime can end up newer than the runtime that finally ships, which is the
   ROCm failure exactly. Regenerate once the dependency set is final.

3. rm -f of the .py sources left __pycache__ behind. CPython validates a .pyc
   against source mtime and size, both of which can be unchanged across a
   regeneration (the gencode triple is the same width whether it reads 7.35.0
   or 6.33.5), so a stale backend_pb2.pyc could shadow the stub just written.

Also fail the build when the generated stub cannot be imported, so a
gencode/runtime mismatch surfaces at image build time instead of reaching
users as an opaque "grpc service not ready".

Verified by driving the real runProtogen through the ROCm install sequence in
a venv harness: before, gencode 7.35.0 against runtime 6.33.6 (reproducing the
reported error verbatim); after, gencode 6.33.5 against runtime 6.33.6 and the
stub imports cleanly.

Closes #10940
Closes #10718

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude Code:claude-opus-4-8[1m] [Bash] [Edit]

* fix(backends): regenerate protobuf stubs in the other backends that install after installRequirements

Same defect as the vllm change: installRequirements generates the stubs at the
end of its own run, so any backend that installs further packages afterwards can
have the protobuf runtime moved out from under stubs that were already written.
The gencode stamped into backend_pb2.py then exceeds the runtime that ships and
the backend dies at model load with "grpc service not ready".

fish-speech already had this bug and worked around the symptom: it forces
protobuf>=5.29.0 after installRequirements precisely because "transitive deps
(wandb, tensorboard) may downgrade protobuf to 3.x but our generated
backend_pb2.py requires protobuf 5+". Regenerating after the pin addresses the
cause rather than propping up the runtime to match stale stubs.

Applied to the backends whose post-installRequirements step resolves a
dependency graph and can therefore move protobuf:

  fish-speech             -e . plus an explicit protobuf install
  vibevoice               pip install . (with deps)
  llama-cpp-quantization  gguf / GGUF_PIP_SPEC
  trl                     gguf / GGUF_PIP_SPEC

Deliberately not applied to ace-step and chatterbox (both --no-deps, so the
dependency graph cannot change) or voxcpm (pins setuptools only). gguf does not
depend on protobuf today, but it resolves dependencies, and "this package does
not touch protobuf right now" is exactly the assumption that made the earlier
fix ineffective.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude Code:claude-opus-4-8[1m] [Bash] [Edit]

* fix(backends): resolve the protoc generator in a throwaway env so it cannot edit the backend's pinned deps

Installing grpcio-tools into the backend's own venv to generate the stubs also
drags its dependencies in: grpcio-tools 1.82.1 requires grpcio>=1.82.1, so a
backend that pinned grpcio==1.78.1 silently shipped 1.82.1 instead. Caught by
building the llama-cpp-quantization image and reading the versions back out of
the artifact:

  before   grpcio 1.82.1   (requirements.txt pins grpcio==1.78.1)
  after    grpcio 1.78.1   grpcio-tools absent from the venv entirely

Resolve the generator in a throwaway environment instead, still constrained to
the protobuf the backend ships so the gencode stays compatible. The backend's
dependency set is then exactly what its requirements files declared. protoc's
output is plain Python and carries no dependency on the interpreter that
produced it, so generating from a different env is safe; the import check still
runs under the backend's python, since that is the interpreter that has to load
the stubs at model load.

Verified on the rebuilt image: gencode 7.35.0, runtime protobuf 7.35.1, grpcio
back at its pinned 1.78.1, and the shipped stub imports cleanly against 7.35.1.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude Code:claude-opus-4-8[1m] [Bash] [Edit]

* fix(backends): bound the protoc generator by BOTH the installed grpcio and protobuf

The generated stubs impose two independent constraints, and every fix so far,
including the previous commit on this branch, satisfied one while violating the
other:

  backend_pb2.py       needs  protobuf runtime >= gencode
  backend_pb2_grpc.py  needs  installed grpcio >= grpcio-tools

Resolving the generator against protobuf alone picked grpcio-tools 1.82.1 for a
backend holding grpcio at 1.78.1, so the gencode was fine but the gRPC stub was
not:

  RuntimeError: The grpc package installed is at version 1.78.1, but the
  generated code in backend_pb2_grpc.py depends on grpcio>=1.82.1.

That is also why installing grpcio-tools into the backend venv appeared to work
earlier: it dragged grpcio up to match, which was load-bearing rather than the
regression it looked like. Isolating the generator removed the accidental fix
and exposed the missing constraint.

Bound grpcio-tools from both sides instead and let the resolver find the newest
version satisfying both. The protobuf ceiling makes it back off to an older
generator when the runtime trails, bounding the gencode; the grpcio ceiling
keeps the _grpc stub loadable. Resolved against the four real runtime pairs
observed in built images:

  grpcio 1.78.1 / protobuf 7.35.1  -> grpcio-tools 1.78.0, gencode 6.31.1  OK
  grpcio 1.78.0 / protobuf 6.33.6  -> grpcio-tools 1.78.0, gencode 6.31.1  OK
  grpcio 1.82.1 / protobuf 6.33.6  -> grpcio-tools 1.81.1, gencode 6.33.5  OK
  grpcio 1.82.1 / protobuf 7.35.1  -> grpcio-tools 1.82.1, gencode 7.35.0  OK

Also restore the import check to cover backend_pb2_grpc as well as backend_pb2.
Narrowing it to backend_pb2 is why the image build passed while CI failed: the
guard could not see the constraint that was actually broken.

Verified by running the CI sequence locally for llama-cpp-quantization, the
backend whose test failed:
  make -C backend/python/llama-cpp-quantization        -> exit 0
  make -C backend/python/llama-cpp-quantization test   -> exit 0, OK

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude Code:claude-opus-4-8[1m] [Bash] [Edit]

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-23 10:56:15 +02:00
mudler's LocalAI [bot]
1919e293c5 chore: ⬆️ Update ServeurpersoCom/omnivoice.cpp to 4f33af825d66e6ef1cb185e87b4589cacf747291 (#11040)
⬆️ Update ServeurpersoCom/omnivoice.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-23 10:54:46 +02:00
mudler's LocalAI [bot]
12ee5249be chore: ⬆️ Update ServeurpersoCom/qwentts.cpp to 82cd05b9f3a175612dc89fd6943e610fab096ef5 (#11039)
⬆️ Update ServeurpersoCom/qwentts.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-23 10:50:29 +02:00
mudler's LocalAI [bot]
e1d7491703 chore: ⬆️ Update leejet/stable-diffusion.cpp to 8a51eb92848c1327a5aaeff5ad81a7a9a2435255 (#11038)
⬆️ Update leejet/stable-diffusion.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-23 10:50:05 +02:00
mudler's LocalAI [bot]
c4c5849cea chore: ⬆️ Update localai-org/ced.cpp to db5aae02973a745722d6fbd2157cab1999106777 (#11037)
⬆️ Update localai-org/ced.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-23 10:49:51 +02:00
mudler's LocalAI [bot]
fab647c23a chore: ⬆️ Update CrispStrobe/CrispASR to 3ab5f4ac13685966b47cc75dc7fd02f3c4a51beb (#11035)
⬆️ Update CrispStrobe/CrispASR

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-23 10:49:33 +02:00
mudler's LocalAI [bot]
9b8ce0ace4 chore: ⬆️ Update vllm-metal (darwin) to v0.3.0.dev20260722081849 (#11034)
⬆️ Update vllm-project/vllm-metal (darwin)

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-23 10:49:16 +02:00
mudler's LocalAI [bot]
7358833f52 chore: ⬆️ Update mudler/locate-anything.cpp to 77376ab332de918220f7a7e391542eefb5407c9f (#11062)
⬆️ Update mudler/locate-anything.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-23 10:49:02 +02:00
mudler's LocalAI [bot]
b57aa8142f chore: ⬆️ Update ikawrakow/ik_llama.cpp to e5357286c0d433cd4384e82ed7e2b6d655f57087 (#11063)
⬆️ Update ikawrakow/ik_llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-23 10:48:40 +02:00
localai-org-maint-bot
9fbb8e89cf fix(turboquant): supersede stale dependency bump (#11064)
* ⬆️ Update TheTom/llama-cpp-turboquant

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

* fix(turboquant): refresh HIP compatibility patch

The updated fork now carries its own HIP-safe peer-copy path, so the old hunk no longer applies. Keep only the event-creation compatibility change that the fork still needs.

Assisted-by: Codex:gpt-5 [Codex]

---------

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-07-23 10:48:24 +02:00
mudler's LocalAI [bot]
ec49548c8e fix(modelartifacts): resume interrupted materialization per-file, not from scratch (#11071)
materializeLocked built a download task for every file in the resolved
snapshot unconditionally. A completed file is promoted from
.downloads/<hash> into snapshot/<path> and its blob deleted, so on any
re-entry (a controller pod roll, a resubmit, a crash) the new pass built a
task whose .downloads blob no longer existed, re-downloaded the whole file
from Hugging Face, and its AfterDownload even removed the already-complete
snapshot copy first. The only resume that worked was the downloader's
per-file .partial resume for a file caught mid-transfer; completed files
were never skipped.

Production consequence: installing longcat-video-avatar-1.5 (~35 GB after
allow_patterns) on a cluster whose controller rolls hourly (Flux image
automation) never converged across ~14 hours. Each roll restarted from the
first shard; the completed bytes on disk were repeatedly deleted and
re-fetched, and the artifact never promoted. curl of the same files from
inside the pod ran fine, proving the loss was the materializer re-fetching,
not the network.

Before building a task, check whether the file is already materialized and
verified in this staging tree's snapshot/ and, if so, keep it and count it
complete instead of downloading. "Materialized" means a regular file of the
expected size that passes the same verifyDownloadedFile check the download
path uses, so the kept manifest entry is byte-for-byte identical to a fresh
one and integrity is re-checked. The manifest requires a SHA-256 for every
file and non-LFS files carry none to borrow, so a hash is unavoidable for
the manifest anyway; a full re-hash of local disk is still orders of
magnitude cheaper than re-downloading, and the downloader re-verifies any
file it does fetch. Manifest entries are now written at their snapshot index
rather than appended in completion order, so a mix of skipped and downloaded
files keeps the resolved order that committedResult and staging read. The
unconditional root.Remove(destination) now runs only on the fresh-download
path; a kept file survives. Skips are logged at INFO with count and bytes so
an operator can see resume working.

This is the resume-side counterpart to the sibling defects on this path:
read/write error conflation and transient retry (#10985), hash-verify
progress accounting and silent success on an expired deadline (#11026), and
the response-header hang (#11053). The download machinery resumed a single
in-flight file; the materializer above it still threw away every completed
file on restart. It also makes orphan-partial adoption worth its cost:
an adopted tree's completed files were re-downloaded anyway until now.


Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Edit] [Bash]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-23 10:48:01 +02:00
mudler's LocalAI [bot]
95afddd936 chore(model-gallery): ⬆️ update checksum (#11061)
⬆️ Checksum updates in gallery/index.yaml

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-23 01:26:26 +02:00
mudler's LocalAI [bot]
6584db992f fix(nodes): never schedule a model onto a node that cannot store it (#11054)
* fix(nodes): never schedule a model onto a node that cannot store it

A worker whose models filesystem was 100% full kept advertising
`status: healthy`, stayed a scheduling candidate, was picked to host a
70 GB video model, accepted the staging request, transferred ~17 GB and
only then failed:

  staging .../whisper-large-v3/model.fp32-00001-of-00002.safetensors:
    upload to node b7bacbf4-... failed with status 500:
    writing file: /models/longcat-video-avatar-1.5/...: no space left on device

The node was at 937G/937G/0-avail. Total elapsed before the truth
surfaced: 16 minutes, for a decision that could never have succeeded.

The worker health signal only ever proved liveness. `/readyz`
(WorkerReadiness/NATSReadiness) checks the NATS link; `status: healthy`
in the registry is driven by heartbeat recency. Node capacity carried
VRAM and RAM but no disk figure at all, and the router compared model
size against VRAM only — nothing anywhere looked at free space on the
filesystem that staging actually writes to.

Report it, then use it:

- Workers now measure the filesystem backing their MODELS directory
  (not `/` -- staged weights land in the models path, and that mount is
  very often separate) and report `total_disk`/`available_disk` on
  registration and on every heartbeat. Free disk moves faster than VRAM
  under staging traffic, so the per-heartbeat refresh matters.
- The SmartRouter drops nodes that cannot store the model before it
  picks one. The requirement comes from `modelPayloadBytes` -- the same
  local paths `stageModelFiles` uploads, already computed for the
  size-derived load budget -- plus a 5% / 1 GiB margin, rather than a
  fixed percentage of the node's disk. A percentage threshold would take
  a small-but-usable node out of rotation for models it could hold, and
  on a homogeneous cluster would strand every node at once.
- When no node fits, scheduling fails immediately with an error naming
  the requirement and each node's free space, instead of picking one and
  discovering it mid-transfer.

Two deliberate non-changes. Low disk does not mark a node `unhealthy`:
the check is per model, so a node too small for one model stays a valid
target for smaller ones. And `total_disk == 0` means "does not report
disk" (pre-upgrade worker, or a failed stat), not "full" -- such nodes
pass through untouched so a rolling upgrade never empties the candidate
pool. A genuinely full node is distinguishable: non-zero total, zero
available. Registry read failures are logged and scheduling continues
unfiltered; a database hiccup must not wedge a cluster.

Free space is surfaced on the node detail page next to VRAM, since the
incident's signature was a node that looked entirely healthy.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Edit] [Bash]

* feat(nodes): make the disk-headroom check operator-controllable

The admission check added in the previous commit had no off switch. A
scheduler-side veto with no escape hatch is a liability: our size
estimate can be wrong (deduplicating or compressing filesystems, a
backend that fetches its own weights rather than loading the staged
copy), and an operator who hits that has no way out but a downgrade.

Add one knob with two surfaces that share a single source of truth:

- `--distributed-disk-headroom-check` / `LOCALAI_DISTRIBUTED_DISK_HEADROOM_CHECK`
  (default true), following the `--distributed-prefix-cache` pattern for
  a default-on distributed feature.
- `distributed_disk_headroom_check` in the runtime-settings registry, so
  it can be flipped without a restart from `POST /api/settings` and from
  Settings -> Distributed in the WebUI.

Both write `DistributedConfig.DiskHeadroomDisabled`, and the SmartRouter
reads that member LIVE on every scheduling decision through a closure
over the application config rather than a value snapshotted at
construction. Env/CLI sets the boot value, the runtime setting overrides
it live, last write wins, and there is exactly one member to read.
Snapshotting would have made the runtime toggle a no-op until restart.

Disabled means WARN, not SKIP. Selection goes back to ignoring free disk
-- byte for byte the pre-check behaviour -- but the check still runs, and
when it would have rejected every node it says so, naming the knob that
suppressed it. Going quiet when switched off would reproduce the exact
condition that made the original incident expensive: a cluster doing
something that could not work and saying nothing. Disabling is also
logged once at startup. Warning only on the total-rejection case keeps
it actionable rather than chatty on a heterogeneous cluster.

Also fixes a false positive in the check itself: shared-models mode
(LOCALAI_DISTRIBUTED_SHARED_MODELS) stages nothing at all -- every node
already mounts this models directory at this path -- so demanding the
full checkpoint size of free space per node would have rejected a
cluster that needs no new bytes. The check is skipped there entirely.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Edit] [Bash]

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-23 00:03:21 +02:00
mudler's LocalAI [bot]
f317da7c0f fix(galleryop): make admitted operations queryable and survive a failed op (#11044)
Two lifecycle defects observed on a 2-replica distributed cluster.

The install endpoints mint a job UUID, hand the operation to an unbuffered
channel, and answer HTTP 200 immediately. The gallery worker is a single
goroutine that processes operations serially, and the first status write
happens inside modelHandler/backendHandler — i.e. only once the worker
actually starts the work. An operation queued behind a running install
therefore had no status at all: GET /models/jobs/<uuid> answered
"could not find any status for ID" and GET /models/jobs did not list it,
so the endpoint reported success for work nothing could observe. On the
paths that sent directly rather than from a goroutine, the same unbuffered
channel blocked the HTTP handler for the whole duration of the in-flight
install, which is how a replica came to accept no /models/apply at all
while /readyz stayed green.

Admission now goes through EnqueueModelOp/EnqueueBackendOp, which publish a
"queued" status before handing the operation over, so a job ID is queryable
from the instant it is handed out. Delivery selects on the operation's
context, so cancelling a still-queued operation releases the delivery
goroutine instead of stranding it on a send that will never be received,
and an operation the worker never accepts becomes a terminal failure rather
than a silent leak.

The worker also had no panic containment. A panic in any handler propagated
out of the single consumer goroutine and killed the process, taking every
queued operation with it; it is now contained to the operation that caused
it. The two ignored galleryStore.Create errors are logged, and the model and
backend delete endpoints now run under the same ID they hand back — they
previously ran under an empty ID and returned a status URL for a job that
could never have a status.

Second, an operation orphaned by a controller replaced mid-download kept
reporting phase=downloading, processed=false, error=none while nothing was
downloading. The PostgreSQL side does recover on its own (FindDuplicate
ignores rows untouched for 30 minutes and CleanStale marks them failed), but
the reaper only ever corrected the database. The in-memory statuses map that
GET /models/jobs/<id> and /api/operations actually read was never corrected,
so every replica kept serving the frozen tick indefinitely. ReapStaleOperations
now reconciles the in-memory copy with the reap.

Note that operation ownership is still not tracked: gallery_operations has a
FrontendID column that nothing writes, so a live operation and one whose owner
died are distinguished only by a 30-minute staleness timeout. Narrowing that
window needs a lease/heartbeat mechanism and is out of scope here.


Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Edit] [Bash]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-23 00:02:23 +02:00
mudler's LocalAI [bot]
6cee8dee54 docs: ⬆️ update docs version mudler/LocalAI (#11060)
⬆️ Update docs version mudler/LocalAI

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-22 23:07:00 +02:00
mudler's LocalAI [bot]
ff299df453 perf(http): gzip responses, cache hashed assets, bound the trace endpoints (#11056)
Three measured HTTP-layer regressions on a live deployment, fixed together
because they all shape the bytes on the wire.

1. No compression. The server sent no Content-Encoding regardless of what
   the client asked for, confirmed with curl straight at 127.0.0.1:8080 so
   it was not an ingress artefact. Adds gzip middleware, on by default and
   configurable via LOCALAI_DISABLE_HTTP_COMPRESSION and
   LOCALAI_HTTP_COMPRESSION_MIN_LENGTH (default 1024 bytes so tiny bodies
   are not wastefully wrapped). Streaming routes are skipped explicitly:
   an SSE Accept header, a WebSocket upgrade, and the completion / SSE /
   log-tail path prefixes, because whether a completion request streams is
   decided by the request body, which the middleware runs too early to see.
   Already-compressed formats (woff2, png, mp4, ...) are skipped too; gzip
   made those marginally larger. Measured over the embedded React build:
   JS+CSS 2815 KB raw to 808 KB gzipped (3.48x).

2. No cache headers on content-hashed assets. Vite hashes the filenames,
   so a given /assets/ URL can never change content, yet they shipped with
   no Cache-Control, ETag or Last-Modified, and the browser re-fetched the
   whole bundle on every navigation with no conditional request available.
   /assets/* now carries public, max-age=31536000, immutable. index.html
   stays no-cache so a deploy is picked up, and the unhashed locale JSONs
   get a short TTL rather than the immutable one.

3. Unbounded trace endpoints. /api/traces returned 21,033,606 bytes in
   4.65s and /api/backend-traces 3,471,682 bytes in 1.50s, and the admin
   UI polls both every few seconds. The ring buffer holds up to 1024
   entries, each embedding full input_text payloads. Both list endpoints
   now take limit / offset / full, default to 50 entries, and strip the
   heavy fields (request and response bodies plus headers for API traces,
   body and data for backend traces) unless full=true. Every trace gets a
   process-lifetime ID and GET /api/traces/{id} and
   /api/backend-traces/{id} serve the full record, which is what the UI
   fetches when a row is expanded. The list body stays a JSON array;
   paging metadata rides in X-Total-Count, X-Trace-Offset and
   X-Trace-Limit. Reproducing the live shape in a test, the polled payload
   goes from 21,131,097 bytes to 7,201 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>
2026-07-22 22:51:25 +02:00
mudler's LocalAI [bot]
8eb8376596 fix(ci): dedup the three workflows that stack runs on every PR push (#11058)
build-test.yaml, yaml-check.yml and secscan.yaml had no concurrency block at
all, so every push to a PR stacked another full batch instead of superseding
the previous one. build-test carries a macos-latest job, the scarcest runner
class we use, and secscan fires on every push to every branch because its
`push:` trigger is unfiltered.

build-test and yaml-check use the same group idiom as lint.yml and the other
eleven workflows that already have one: key on the PR number so pushes to a PR
share a group, and cancel only on pull_request. On a master push the key falls
back to github.sha and cancel-in-progress is false, so master runs never cancel
each other -- that is deliberate, since backend.yml builds only the backends a
given commit touched and superseding would drop those builds.

secscan needs a different key: it has no pull_request trigger, so the shared
idiom would fall back to the unique-per-commit sha and dedup nothing. It groups
on github.ref instead, and excludes master from cancellation for the same
per-commit reason. Cancelling a superseded feature-branch scan is safe because
the only output is a SARIF upload and code scanning keeps the latest result
per ref.

No behaviour change on master for any of the three.


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-22 22:51:11 +02:00
mudler's LocalAI [bot]
16033d562a fix(downloader): bound the wait for response headers so a wedged origin cannot hang an install forever (#11053)
A gallery model install hung for 94 minutes with zero bytes transferred, no
error, no retry and no abort, leaving a partial tree frozen at 18G. The last
log line was the download starting, then silence:

    14:06:19 INFO Downloading url=".../LongCat-Video-Avatar-1.5/resolve/<rev>/base_model/diffusion_pytorch_model-000..."

The retry machinery from #10985 was working (two retries fired at 14:05:01 and
14:06:14); the third attempt simply never returned. The install never
completed, the model config was never written, and nothing surfaced the
failure.

The stall watchdog added earlier wraps the response *body*, so it only starts
guarding once downloadClient.Do() has returned. The transport had no
ResponseHeaderTimeout, so a peer that completes the dial and TLS handshake,
reads the request, and then never sends a status line parks Do() for the
process lifetime. IdleConnTimeout governs pooled idle connections, not an
in-flight request. Both the body request and the HEAD that probes for Range
support were unguarded.

Bound the header wait at the transport, not the client: a client-level Timeout
would also bound the body and truncate multi-tens-of-GB downloads. The knob is
opt-in (WithResponseHeaderTimeout) rather than a default in HardenedTransport,
because a streaming endpoint may legitimately withhold headers until it has
something to say, and capping that would break the streaming clients that share
this constructor.

Also fix a classification trap this exposed: net/http reports a
ResponseHeaderTimeout as an error satisfying errors.Is(err,
context.DeadlineExceeded), which IsRetryable read as "the caller gave up" and
refused to retry. An explicit transient marking now outranks the cancellation
sentinels; a caller who genuinely gave up is still caught by the ctx.Err()
check. The resume probe's error is likewise marked transient, so a momentarily
wedged origin no longer turns a resumable download into a hard install failure.

Third defect found in this download path, after #10985 (read vs write errors
conflated) and #11026 (hash verification emitted no progress and an expired
deadline returned success).


Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Edit] [Bash]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-22 18:28:51 +02:00
mudler's LocalAI [bot]
248e1ef9a2 fix(worker): never reuse a backend process whose directory a reinstall replaced (#11029)
A backend reinstall could poison every subsequent model load on a worker
node until the worker process was restarted.

gallery.InstallBackend (and gallery.UpgradeBackend) replace a backend by
renaming the live directory to `<name>.install-backup`, moving the staged
directory into place, then deleting the backup. A working directory
follows the inode across a rename, so a backend process that outlives
that swap ends up with a deleted inode as its CWD, and every getcwd(2)
in it fails with ENOENT.

Observed on a Jetson Thor worker in distributed mode after two
successive reinstalls of cuda13-nvidia-l4t-arm64-longcat-video-development.
A later model load failed with:

    rpc error: code = Internal desc = failed to load LongCat model: [Errno 2] No such file or directory

The backend's own traceback shows it dying while importing torch, before
touching any model file:

    backend.py line 142 in LoadModel
    backend.py line 300 in _import_torch
      torch/_library/custom_ops.py  lib._register_fake(...)
      torch/library.py:183          caller_module = inspect.getmodule(frame)
      inspect.py:1013               f = getabsfile(module)
      inspect.py:983                return os.path.normcase(os.path.abspath(_filename))
      <frozen posixpath>, line 415, in abspath
    FileNotFoundError: [Errno 2] No such file or directory

os.path.abspath calls os.getcwd() for a relative path. Scanning /proc
inside the worker container found the deleted CWD directly:

    pid 23467 CWD DELETED: /backends/cuda13-nvidia-l4t-arm64-longcat-video-development.install-backup (deleted)

Restarting the worker container cleared it (dead CWD count 1 -> 0).

Python backends import torch lazily inside LoadModel, so such a survivor
still answers HealthCheck and keeps its gRPC port. It looks healthy and
only detonates when a model is actually loaded through it.

The install paths already stop running processes before replacing the
directory (installBackend's force branch, upgradeBackend, backend.delete),
but they resolve them by name. That bookkeeping reaps nothing whenever
the recorded name no longer resolves into the install's identity set: a
legacy entry with an empty backendName, backendIdentity degraded to
name-only matching after a ListSystemBackends failure, or an earlier
reinstall having already rewritten the metadata.json that carries the
alias. Any of those leaves a live process whose directory is about to be
unlinked, and nothing downstream notices, because the reuse gate checks
liveness and name -- and the name is precisely what does not change
across a reinstall.

Record the directory each supervised process runs out of, plus that
directory's identity at spawn time, and compare with os.SameFile before
reusing the process. This needs none of the name bookkeeping to have
been correct. Both reuse gates are covered: processMatchesBackend (the
install fast path) and startBackend's own already-running branch, which
now force-stops such a survivor so the fresh spawn chdirs into the newly
installed directory. Processes with no recorded directory are accepted,
so a rollout does not restart every running backend once.

This matters more with #11024 pending: making GPU backends visible to
the upgrade checker will have AutoUpgradeBackends fan upgrades out to
worker nodes at scale, and every one of those is a reinstall. Left as
is, a rare manual-upgrade footgun becomes a fleet-wide one.


Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Edit] [Bash]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-22 17:29:59 +02:00
mudler's LocalAI [bot]
7a8db9b1f1 fix(ollama): set ContextSize via the embedded LLMConfig so the package builds (#11049)
The num_ctx clamping specs added in #11032 construct their fixture with
`config.ModelConfig{ContextSize: &existing}`, but ContextSize is not a
direct field of ModelConfig: it belongs to LLMConfig, which ModelConfig
embeds inline. Go allows reading a promoted field but not setting one in
a composite literal, so the test file has never compiled:

  helpers_internal_test.go:33:31: unknown field ContextSize in struct
    literal of type "github.com/mudler/LocalAI/core/config".ModelConfig

This broke `make lint` on master from bf19758e0 onward, and because the
typecheck failure takes down the whole package it also reds tests-linux
and tests-apple on every PR branched after that commit.

Use the same literal form the rest of the tree already uses for this
field (see core/backend/options_internal_test.go).

Worth noting the specs were not merely uncompiled but inert: #11032 is a
DoS fix (an unauthenticated client raising the context ceiling drives
KV-cache allocation), and its regression guard was never actually
running. Verified the restored specs are functional by stubbing out the
ceiling clamp, which fails the "does not let an oversized num_ctx raise
an existing context ceiling" spec as intended.

Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Edit] [Bash]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-22 16:25:56 +02:00
walcz-de
6d1bbb74c4 fix(backend/python): don't await sync servicer behaviors in AsyncModelIdentityInterceptor (#10980)
* fix(backend/python): don't await sync servicer behaviors in AsyncModelIdentityInterceptor

The model-identity interceptor (added for #10952) is installed on every Python
backend's gRPC server. Its grpc.aio variant invokes the wrapped servicer
behavior itself and awaits the result unconditionally:

    result = await original(request, context)                 # LoadModel
    return await original_unary(request, context)             # guarded RPCs
    async for response in original_stream(request, context):  # streaming

But a backend's servicer methods may be plain sync functions. The transformers
backend, for one, defines `def LoadModel` and `def Embedding` (not `async def`).
grpc.aio's own dispatch adapts both shapes, but this interceptor calls the
behavior directly and bypasses that. For a sync method `original(...)` returns a
message object, not a coroutine, so the `await` raises:

    TypeError: object Result can't be used in 'await' expression

The model loads, then the LoadModel RPC dies on return; the guarded sync
Embedding fails the same way. It happens on every platform, not just one backend
build. CI never caught it because AsyncModelIdentityInterceptor had no
behavioral test -- only an "is it installed" assertion.

Fix: await only when the behavior actually returned an awaitable
(inspect.isawaitable), mirroring grpc.aio's own sync/async adaptation. The
streaming guard iterates a sync generator with `for` and an async one with
`async for`.

Adds async-path coverage to model_identity_test.py exercising both sync and
async LoadModel / guarded-unary / streaming behaviors. The sync cases fail on
the current code with the TypeError above and pass with this fix.

Signed-off-by: stefanwalcz <stefan.walcz@walcz.de>

* fix(backend/python): dispatch sync servicer behaviors off the event loop

Addresses review feedback: awaiting only awaitable results removed the
TypeError, but still ran a sync LoadModel/Embedding -- and stepped a sync stream
via next() -- on the asyncio event-loop thread, so a slow load/inference/stream
could freeze all aio RPC handling.

Route sync behavior through run_in_executor (a worker thread) while awaiting
native async behavior directly. A callable wrapper that returns an awaitable is
run in the thread and its awaitable awaited back on the loop. Sync streaming
pulls each item via the executor with a done sentinel, so StopIteration cannot
escape through a Future.

Adds regression tests that record the handler thread id and assert it differs
from the event-loop thread, for LoadModel, a guarded unary RPC and a sync stream.

Signed-off-by: stefanwalcz <stefan.walcz@walcz.de>

---------

Signed-off-by: stefanwalcz <stefan.walcz@walcz.de>
2026-07-22 16:03:46 +02:00
dependabot[bot]
f92410b20b chore(deps): bump fast-uri from 3.1.2 to 3.1.4 in /core/http/react-ui in the npm_and_yarn group across 1 directory (#11043)
chore(deps): bump fast-uri

Bumps the npm_and_yarn group with 1 update in the /core/http/react-ui directory: [fast-uri](https://github.com/fastify/fast-uri).


Updates `fast-uri` from 3.1.2 to 3.1.4
- [Release notes](https://github.com/fastify/fast-uri/releases)
- [Commits](https://github.com/fastify/fast-uri/compare/v3.1.2...v3.1.4)

---
updated-dependencies:
- dependency-name: fast-uri
  dependency-version: 3.1.4
  dependency-type: indirect
  dependency-group: npm_and_yarn
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-07-22 15:55:10 +02:00
mudler's LocalAI [bot]
54f531f452 fix(mcp): bound MCP session connect so an unreachable server can't hang the widget (#10880) (#10884)
Establishing an MCP session held the session-cache mutex across
client.Connect with no per-connect timeout. An unreachable remote server
(bounded only by the 360s httpClient timeout) or a stdio server whose
initialize handshake never completes therefore blocked the caller and,
because the mutex was held, every other MCP request for that model too.
In the UI this shows up as the MCP "Servers" widget spinning forever.

It is most visible for cloud-proxy models: their chat path bails out
before the MCP tool block, so it never warms the session cache in the
background. The widget's /v1/mcp/servers/<model> call is then the first
and only code that connects synchronously, in the request foreground.

The session, once established, stays bound to the shared context (it is
cancelled later via the cached cancel func on eviction/shutdown), so we
can't pass a WithTimeout context to Connect: firing the timeout would tear
a healthy session down, and cancelling the shared context would also kill
sibling servers that already connected. Instead connectMCP runs Connect on
the shared context in a goroutine and stops waiting after the discovery
timeout, returning an error for that one server without disturbing the
others. A stalled goroutine is reaped when the model's sessions are
cancelled. Applied to both SessionsFromMCPConfig and
NamedSessionsFromMCPConfig.


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-22 15:49:40 +02:00
mudler's LocalAI [bot]
01fca9c9b2 fix(distributed): scale the remote model-load deadline with checkpoint size (#11030)
The gRPC deadline for the remote LoadModel call was a fixed 5m. It starts
only after the backend install and file staging have completed, so it
covers the worker's checkpoint read and pipeline init alone - work whose
duration is proportional to the bytes on disk. A fixed value is therefore
a model-size cliff, not a timeout.

Measured in production: a 70 GB video checkpoint (longcat-video-avatar-1.5)
on an NVIDIA Jetson Thor worker failed reproducibly with
"rpc error: code = DeadlineExceeded" after 953.5s of wall clock. Backend
install plus staging consumed ~11m, then LoadModel got its 5m and expired.
The load never had a chance, and the operator saw only a generic
DeadlineExceeded with no hint that a config value was the cause.

Raising the constant does not fix this. It moves the cliff to the next
larger model - the cluster has to support 600 GB checkpoints - and it makes
a genuinely wedged SMALL model hang for the whole inflated duration before
anyone notices, which is a real regression in failure latency.

So derive the budget from the checkpoint size instead:

    budget = 5m + 20s/GiB, capped at 6h

2 GiB -> 5m40s, 70 GiB -> 28m20s, 600 GiB -> 3h25m. The per-GiB rate is
deliberately pessimistic (~54 MB/s of weight read) because the errors are
not symmetric: too long costs only failure latency on a load that was going
to fail anyway, too short is a guaranteed false failure on a healthy load.

The size is measured from the frontend's local model files, over the same
path set stageModelFiles uploads. When those files are not present locally -
a backend handed a bare HuggingFace repo id fetches its own weights on the
worker - there is nothing to measure and the budget stays at today's 5m.

An explicit LOCALAI_NATS_MODEL_LOAD_TIMEOUT still wins outright, in both
directions: a shorter override is honoured, so an operator who wants fast
failure is not silently extended by the heuristic.

The cold-load hold needed widening to match. It extends on staging progress,
but LoadModel reports none, so once the last byte lands the hold expires a
stall window later and would cancel a load still well inside its own budget.
scheduleAndLoad now extends the hold by the load budget plus the staging
margin as it enters the load phase; ModelLoadCeilingFor stays the hold's
starting budget rather than its maximum.

Finally, a deadline that does expire now names the budget, the checkpoint
size it was derived from, and the knob that overrides it, instead of
surfacing a bare "context deadline exceeded".


Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Edit] [Bash]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-22 09:30:23 +02:00
Tai An
d7020708f2 fix(completions): reject empty PromptStrings in streaming to avoid index-out-of-range panic (#11028)
* fix(completions): reject empty PromptStrings in streaming to avoid index-out-of-range panic

The streaming branch of CompletionEndpoint only guarded len(config.PromptStrings) > 1
before unconditionally reading config.PromptStrings[0]. A completion request whose
prompt field is an empty array, an array of non-strings, or omitted leaves
PromptStrings with length 0, so PromptStrings[0] panics with index out of range and
crashes the handler goroutine.

Guard for exactly one prompt string instead, returning a clean error for the 0-length
case as well as the pre-existing multi-prompt case.

Signed-off-by: Tai An <antai12232931@outlook.com>

* fix(completions): return 400 for malformed streaming prompt

Reject streaming completion requests whose prompt does not resolve to
exactly one string (omitted prompt, empty array, or a multi-element
array) with an HTTP 400 before writing any SSE headers, instead of
returning a plain error that Echo surfaces as a 500. Extract the guard
into validateStreamingPromptStrings and cover the three reported
payloads with a regression test.

Fixes #11021

Signed-off-by: Tai An <antai12232931@outlook.com>

---------

Signed-off-by: Tai An <antai12232931@outlook.com>
2026-07-22 09:29:11 +02:00
Tai An
bf19758e05 fix(ollama): cap num_ctx so it cannot wrap negative when cast to int32 (#11032)
* fix(ollama): cap num_ctx so it cannot wrap negative when cast to int32

applyOllamaOptions copied a client-supplied options.num_ctx straight into
cfg.ContextSize with only a > 0 check. That value is later cast to int32
before it reaches the backend (core/backend/options.go), so a num_ctx
above math.MaxInt32 silently wrapped into a negative context size that
was then sent to the LoadModel gRPC call. Both /api/chat and /api/generate
share applyOllamaOptions, so both endpoints were affected.

Cap num_ctx at math.MaxInt32 so the later cast stays positive, and add
internal regression coverage for the overflow, in-range, and unset cases.

num_ctx remains an intentional user override, so this does not re-impose
the hardware-aware auto context clamp; that policy choice is left to
maintainers.

Fixes #11022

Signed-off-by: Tai An <antai12232931@outlook.com>

* fix(ollama): clamp num_ctx to model context ceiling, not just int32

Per review on #11032: capping only at math.MaxInt32 still let an
unauthenticated request replace the hardware/model-derived context
limit with ~2.1B tokens, so a real backend could attempt a catastrophic
KV-cache allocation. Treat any existing positive cfg.ContextSize as the
server ceiling and clamp num_ctx down to it (smaller values still
honored), while retaining the int32-safe bound when no smaller ceiling
exists. Shared by /api/chat and /api/generate via applyOllamaOptions.

Add regression coverage proving num_ctx=2,000,000,000 cannot replace an
existing 4096/8192 ceiling.

Signed-off-by: Tai An <antai12232931@outlook.com>

---------

Signed-off-by: Tai An <antai12232931@outlook.com>
2026-07-22 09:28:02 +02:00
mudler's LocalAI [bot]
48b7d6d8fd docs: ⬆️ update docs version mudler/LocalAI (#11033)
⬆️ Update docs version mudler/LocalAI

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-22 09:26:29 +02:00
mudler's LocalAI [bot]
3154bec357 chore(model-gallery): ⬆️ update checksum (#11036)
⬆️ Checksum updates in gallery/index.yaml

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-22 08:25:24 +02:00
localai-org-maint-bot
47c0e06198 fix(ci): authenticate the nightly dependency-bump API calls (#11042)
The "Bump Backend dependencies" workflow has failed every night for the
last two weeks. #11012 fixed one cause (repos renamed under localai-org);
what is left is rate limiting.

bump_deps.sh fans out to ~25 parallel matrix jobs that each query
api.github.com anonymously. Anonymous calls are capped at 60/hour per
source IP and GitHub-hosted runners egress through shared NAT addresses,
so a random handful of jobs draw HTTP 403 and die at curl exit 22 with an
empty response. Last night that hit ggml-org/whisper.cpp and
mudler/depth-anything.cpp -- both public and resolvable, nothing wrong
with either pin.

Route every bump script through a shared gh_curl helper that sends
GITHUB_TOKEN when present (1000/hour instead of 60) and retries transient
failures, including the 403s that plain --retry ignores. The helper
suppresses xtrace around the call so the Authorization header cannot land
in a public job log.

bump_docs.sh had a sharper version of the same bug: it piped an
unchecked response into `jq -r .tag_name`, so a throttled request
resolved to the string "null" and would have been published as the docs
version. It now refuses to write anything it cannot resolve to a tag.

Verified locally by running all four scripts end to end against their
real upstreams: correct SHAs/tags written, exit 0; a nonexistent repo now
fails with a named diagnostic instead of a bare exit 22 and leaves the
pinned file untouched; the token is absent from the xtrace output; and
the scripts still work unauthenticated.

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

Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-07-22 08:25:05 +02:00
mudler's LocalAI [bot]
5c96e097ba feat(gallery): fix stale DFlash drafters and add the APEX families as variant ladders (#11027)
* fix(gallery): repoint qwen3-4b/qwen3.5-9b dflash drafters at post-rename GGUFs

The drafters both entries referenced were converted from the pre-merge DFlash
PR branch and carry dflash.target_layer_ids. llama.cpp reads dflash.target_layers
and refuses the load. The stored values are offset by +1 relative to the HF-side
field, so the files cannot be repaired by renaming the key and must be replaced.

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

* feat(ci): add apexentries HuggingFace client

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

* ci(apexentries): build the HF client via pkg/httpclient

The apexentries HuggingFace client was constructed as a raw
&http.Client{Timeout: 60s}. The repo convention (documented in
.golangci.yml, which cannot express this as a forbidigo pattern) is that
all outbound HTTP goes through pkg/httpclient, which refuses redirects by
default and sets a TLS 1.2 floor. The std client follows redirects and
forwards custom credential headers to the redirect target on a cross-host
hop (GHSA-3mj3-57v2-4636). Only a User-Agent is sent today, but this
calls an external API and an HF_TOKEN header added later would leak.

Switch to httpclient.NewWithTimeout, preserving the 60 second timeout.
No behaviour change for the current header set.

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

* feat(ci): discover APEX tiers by filename suffix

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

* feat(ci): resolve unsloth counterparts and sharded quants

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

* feat(ci): render APEX child entries with the dflash/mtp tag rule

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

* ci(apexentries): set backend, known_usecases and cross-repo drafters

RenderChild left three gaps against the hand-written gallery entries.

The generated entries reference gallery/virtual.yaml, which supplies no
backend, so every generated entry named no engine at all. All comparable
hand-written entries set backend: llama-cpp in overrides; do the same.
Set known_usecases to [chat] alongside it: LocalAI falls back to the
backend defaults when it is absent, so this is convention rather than
breakage, but generated entries should not read differently from their
neighbours.

The drafter was also assumed to live in the repo publishing the weights.
Speculative pairings routinely cross repos, and a drafter URI built from
the weights repo 404s at install time. Add ChildInput.DraftRepo, used for
both the drafter URI and its local path, falling back to Repo when empty
so pairings that do ship the drafter alongside the weights are unchanged.

The dflash/mtp tagging rule is untouched: the tag still follows SpecType
and nothing else.

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

* feat(ci): dedupe generated entries against the existing gallery

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

* apexentries: canonicalize HF URIs and dedup the generated batch

Merge exists to stop a second gallery entry being added for weights the
gallery already ships, but two gaps let duplicates through on a bulk run.

The URI key was compared as an exact string while render.go only ever emits
https://huggingface.co/{repo}/resolve/main/{file} and the gallery records
1038 of its URIs in huggingface://{repo}/{file} shorthand. A generated
unsloth rung whose weights are already shipped in shorthand was therefore
not recognised. canonicalURI reduces both spellings to one key and is
applied on both sides, taking care that the repo is exactly the first two
path segments so sharded quants in a subdirectory still match. A URI in
neither form is returned untouched so other hosts dedup on their literal
string.

Merge also never accounted for entries it had just accepted, so two
generated entries sharing a name or a primary URI both landed in add.
Several APEX repos share one base model and resolve to the same unsloth
counterpart, so the identical rungs are generated twice under the same
name. Batch state is tracked locally rather than written back into the
caller's ExistingIndex, which a caller may reasonably reuse.

Name is still checked before URI: a name collision must block the add
regardless of the weights.

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

* feat(ci): verify variant and tagging invariants in the gallery index

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

* fix(ci): scope the apex-entries verifier to what it can actually judge

The verifier reported 60 problems against the real gallery, 57 of which were
llama.cpp assumptions meeting entries from other backends. A gate that is wrong
57 times out of 60 cannot gate anything.

- The weight-count check catches a quant label collision in llama-cpp quant
  discovery, so it now runs only for overrides.backend: llama-cpp. Entries with
  no declared backend are skipped because their weights are declared in the
  referenced url: template, which the verifier never reads.
- The dflash/mtp tag check now implements the per-backend table in
  .agents/adding-gallery-models.md instead of assuming llama.cpp's spec_type:
  vocabulary. ds4 declares mtp_path:/mtp_draft:; sglang declares
  speculative_algorithm: in a file this verifier cannot follow, so sglang
  entries are not judged in either direction. The check stays bidirectional
  within the backends it does judge.
- sha256 is now required on .gguf files only, since every non-GGUF asset in the
  index belongs to a hand-curated entry outside this generator's scope.

Against the current gallery this leaves exactly the three genuine problems:
two entries setting spec_type:draft-mtp without the mtp tag, and one entry
whose overrides.mmproj names a file it does not download.

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

* ci(apexentries): anchor quant matching and invert the sha256 rule

UnaccountedQuants matched files to wanted quants with strings.Contains, which
reproduces the substring collision it was written to warn about: Q8_0 is a
substring of UD-Q8_0, so a repo publishing only UD-Q8_0 was reported as
publishing an unbuilt Q8_0. Subdirectory-sharded UD quants are the normal
unsloth layout for large repos, so this fired on realistic input.

Match on the quant label as an anchored token instead, the way
DiscoverUnslothQuants does, so the diagnostic and the discovery it audits
cannot disagree about what a file is. Root-level shards, the layout the
diagnostic mainly exists to catch, stay detected.

The sha256 requirement was scoped to .gguf, which exempted seven real model
weights: wan_2.1_vae.safetensors and clip_vision_h.safetensors across the
wan-2.1-*-ggml entries, both load-bearing weights named by gallery/wan-ggml.yaml.
Invert the rule so a checksum is required on everything except metadata
extensions, which keeps a future weight format covered by default rather than
silently exempt.

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

* feat(ci): wire the apexentries command

Adds the generation path to the apexentries command: list the mudler APEX
repos, discover each one's quality ladder and its unsloth counterpart's quant
rungs from the filenames actually published, render a child entry per build
plus a family parent carrying the variants list, dedup against the gallery,
and write the additions to -out or append them with -apply.

Discovery shortfalls are reported at discovery time rather than left to the
verifier. A quant or a tier that discovery drops leaves no trace in a finished
gallery file, and because an empty imatrix ladder falls back to the plain one,
a repo whose imatrix filenames all fail to match downgrades the whole family
silently instead of erroring.

Merge's single reused map is split into two reported categories. A URI match
means the gallery already ships exactly these weights and referencing the
existing entry is correct; a name collision means an unrelated entry owns the
name and referencing it would substitute a different build.

Multimodal children now declare known_usecases [chat, vision]. An explicit
known_usecases suppresses the backend-default fallback, so a chat-only entry
carrying an mmproj never matches the vision or multimodal gallery filters.

.github/ci is invisible to go list ./..., so a workflow names both generator
packages explicitly and their specs finally run on pull requests.

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

* feat(ci): gather APEX builds under the base model entry

The hub for a family is the BASE model entry, never a generated *-apex
parent. Somebody looking for qwen3.6-35b-a3b has to find every build of
those weights under that one name, so a competing qwen3.6-35b-a3b-apex
hub would split the family and leave half of it invisible.

When the gallery already ships the base entry, a variants block is
spliced into it textually, leaving its description, icon, tags,
overrides and files untouched. Only a family whose base model the
gallery does not ship gets a new hub, still named for the base model and
carrying one of the discovered builds as its own payload so it declares
a backend the verifier can judge.

The line editing is factored into .github/ci/galleryedit, shared with
the variantproposals job, so the two cannot drift apart on where a
variants block belongs.

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

* fix(apexentries): treat an unreadable optional counterpart repo as absent

HuggingFace answers 401 Unauthorized, not 404, for a repository that does
not exist when the request carries no credentials. FetchRepoFiles treated
only 404 as absence, so probing for the OPTIONAL unsloth counterpart hard
failed for every family that legitimately has none: 27 of the 45 APEX
families are community merges that will never have an unsloth build, and a
full run failed all of them.

Split the fetch so the two call sites can apply different policies to the
same response. The APEX repo itself stays strict: a 401 or 403 on a repo
the run requires is a real failure and still errors. Only the optional
probe tolerates it, because without a token 401 cannot be told apart from
absence.

That collapse is lossy in one direction, since a private or gated repo also
answers 401, so the skipped candidates are named in the run summary
alongside the other silent-shortfall counters instead of being dropped in
silence.

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>

* ci(apexentries): report full-precision sources as a known exclusion

The 45 APEX repos publish their unquantized F16 sources next to the
imatrix ladder, flat or sharded. Discovery correctly emits nothing for
them, but they were landing in the unclassified total, leaving a
permanent baseline of 24 benign lines on every run.

That baseline is what the unclassified check exists to prevent: a
standing count of known-benign files is exactly what hides the one file
that ever genuinely matters. Count full-precision sources separately and
give them their own summary line, so unclassified returns to 0 and stays
loud when something really is an unknown shape.

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

* fix(apexentries): namespace local paths by owner and enable MTP builds

localPath namespaced downloads by the repo basename alone, so two repos
publishing the same filename under different owners collapsed to one local
path. LiquidAI/LFM2.5-8B-A1B-GGUF and unsloth/LFM2.5-8B-A1B-GGUF collided that
way, and both were offered from the same hub, so installing the second either
overwrote the first model's weights or was skipped as already present while
recording a sha256 that did not match the bytes on disk. The owner is now its
own path segment: owner/repo is globally unique on HuggingFace and neither half
can contain a separator, so uniqueness holds by construction.

Verify gains a check for the whole class, that no local filename may map to two
different upstream URIs. It surfaces seven pre-existing collisions in the
gallery, which are left alone here.

Entries built from the *-APEX-MTP-GGUF repos now configure MTP rather than
shipping the heads inert, matching the pattern the hand-written MTP entries
already use: spec_type:draft-mtp with spec_n_max and spec_p_min, tagged mtp, and
no draft_model because the heads live in the weights. RenderChild no longer
requires a separate drafter file before it will configure a spec type, while the
cross-repo drafter path is unchanged.

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

* feat(gallery): add the APEX GGUF families as variant ladders

Adds the imatrix quality ladder from each mudler/*-APEX-GGUF repo, a fixed
subset of unsloth quant rungs where a counterpart repo exists, and the MTP
builds, then attaches them to the base model entry so one entry offers every
build of the same weights and LocalAI picks the one that fits the hardware.

Ten existing base model entries gain a variants list; twenty-seven families that
the gallery had no base entry for get one. Builds are discovered from the
filenames each repo actually publishes rather than derived from its name, since
six repos ship a stem that differs from their repo name. Every file carries a
sha256 taken from the HuggingFace API.

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

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-21 21:40:51 +02:00
mudler's LocalAI [bot]
a4a181d2f7 fix(distributed): count staging verification as progress, not as a stall (#11026)
Testing the progress-based cold-load deadline on the live cluster surfaced a
false positive. The stall window observed UPLOAD bytes only, but the staging
path has a phase that does real work while moving zero upload bytes: the
resumable-upload verify phase.

When a shard is already present on the worker from an earlier attempt, the
frontend HEADs it, hashes the local copy to confirm it matches, and skips the
transfer. Staging a 70 GB model with 56 GB already staged:

  17:27:34 INFO Upload skipped (file already exists with matching hash) ...
  17:28:20 INFO Upload skipped (file already exists with matching hash) ...
  17:29:07 INFO Upload skipped (file already exists with matching hash) ...
  ... six-plus consecutive minutes, no bytes uploaded at all

~45s per skipped ~4 GB shard. That is correct and desirable - it is what makes
resume work - but it was indistinguishable from a stall. At 45s per shard it
sits inside the 5m window, so the run in flight was fine; the problem is the
600 GB scale this machinery exists to enable, where one shard can plausibly hash
for longer than the window. The guard would then fire during verification of a
transfer that is working perfectly.

Verified mechanism: probeExisting() HEADs the worker and then calls
downloader.CalculateSHA(). The staging progress callback is only consulted
inside doUpload(), which the skip path never reaches, so observeLoadProgress was
called zero times for the whole verify phase.

Verification exposed a second, worse bug in the same path: CalculateSHA consults
no context at all. An expired cold load kept hashing to completion, compared the
hashes, and returned success - reporting a file as staged on a dead load. The
failure only surfaced on the NEXT file, whose HEAD died immediately. That is
exactly the shape of the red test here, which fails on shard 3.

Fix: hash in 1 MiB chunks via hashFileWithActivity(), ticking the cold-load
deadline per chunk and checking ctx per chunk. A successful HEAD also counts,
since a 200 with a content hash proves the worker is serving right now.

Counting hash progress does not make a dead transfer look alive: hashing is
bounded, terminating work proportional to file size, in probeExisting it runs
only after a HEAD proved the worker was up, and the 24h absolute cap still
bounds the whole hold. The alternative of simply widening the window was
rejected - it would reintroduce the size cliff this work removes.


Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Edit] [Bash]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-21 21:38:54 +02:00
mudler's LocalAI [bot]
2b61e4bc1d fix(upgrade-check): don't filter upgrade candidates by controller capability (#11024)
CheckUpgradesAgainst resolved gallery entries through AvailableBackends,
which drops every entry the *local* host cannot run. In distributed mode
the host running the check is a CPU-only controller while the GPU
backends live on worker nodes, so FindGalleryElement returned nil for
every cuda/rocm/l4t entry and those backends were silently skipped.

Measured on a live cluster: GET /backends reported 48 installed
backends, POST /backends/upgrades/check evaluated 5 — all of them plain
or cpu-prefixed. The 43 skipped were all hardware-specific builds. As a
result cuda13-nvidia-l4t-arm64-longcat-video-development stayed at
sha256:0b8dc851 while the registry tag held sha256:38dae6ff, and a cuDNN
packaging fix sat unnoticed on a GPU worker for two days.

Every name looked up here is already installed somewhere in the cluster,
so hardware compatibility was decided at install time; re-deciding it
against the controller is wrong. Switch both CheckUpgradesAgainst and
UpgradeBackend to AvailableBackendsUnfiltered.


Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Edit] [Bash]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-21 19:28:34 +02:00
mudler's LocalAI [bot]
3584e0776d chore: ⬆️ Update antirez/ds4 to efdadd41e20134af4f3381e1ed90e96fe4faef6f (#11010)
* ⬆️ Update antirez/ds4

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

* fix(ds4): link new tensor parallel objects

The updated ds4 revision split tensor-parallel transport and layer placement into separate translation units. Build and link those objects on CPU, CUDA, and Metal builds.

Assisted-by: Codex:gpt-5

---------

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-07-21 16:06:30 +00:00
dependabot[bot]
4ce67ccb84 chore(deps): bump body-parser from 2.2.2 to 2.3.0 in /core/http/react-ui in the npm_and_yarn group across 1 directory (#11016)
chore(deps): bump body-parser

Bumps the npm_and_yarn group with 1 update in the /core/http/react-ui directory: [body-parser](https://github.com/expressjs/body-parser).


Updates `body-parser` from 2.2.2 to 2.3.0
- [Release notes](https://github.com/expressjs/body-parser/releases)
- [Changelog](https://github.com/expressjs/body-parser/blob/master/HISTORY.md)
- [Commits](https://github.com/expressjs/body-parser/compare/v2.2.2...v2.3.0)

---
updated-dependencies:
- dependency-name: body-parser
  dependency-version: 2.3.0
  dependency-type: indirect
  dependency-group: npm_and_yarn
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-07-21 15:35:01 +02:00
mudler's LocalAI [bot]
b700a78ae4 fix(distributed): make the cold-load hold scale with progress, not wall-clock (#11019)
A 70 GB video checkpoint (longcat-video-avatar-1.5) could not be loaded on a
distributed cluster. The request failed with HTTP 500 after 1499.98s - exactly
the 25m00s cold-load ceiling - while staging was demonstrably healthy: 26 of 57
files and 39 GB transferred at a sustained ~26 MB/s, zero errors, no stalls. It
was not wedged, it was killed by a timer.

ModelLoadCeilingFor covers node selection, backend install, file staging and the
remote LoadModel. Install and load carry their own budgets; staging was covered
only by a FIXED 5-minute margin. But staging time is bytes over bandwidth, not a
constant: 70 GB at 26 MB/s needs ~45m against a 25m ceiling, so the failure is
deterministic for any sufficiently large model rather than a flake. Simply
raising the constant moves the cliff to the next model size - the deployment
target here is checkpoints of 600 GB and beyond.

The ceiling's real purpose is that "a wedged worker can never pin the lock
indefinitely". Progress, not elapsed time, is what distinguishes a wedged worker
from a large one. The hold is now a deadline that extends whenever the transfer
reports bytes and expires a 5-minute stall window after they stop:

- A large model transferring fine continues, for hours if needed.
- A worker that died mid-transfer still fails within the stall window.

Progress is observed at byte level on the transfer itself, via the existing
staging progress callback. Per-file completion would be too coarse - a single
600 GB shard would be indistinguishable from a stall for hours. The observation
point is back-pressured by the socket, so it reflects the network rather than
local disk reads. Observation is coarsened to one timer touch per stall/20 so
the per-read callback stays cheap.

The base budget (unchanged, and still derived from the install and load
timeouts) continues to cover the steps that report no progress, so
LOCALAI_NATS_MODEL_LOAD_TIMEOUT keeps working exactly as before. An absolute
cap of 24h bounds the hold even while progress keeps arriving, so a peer
trickling bytes forever cannot pin the advisory lock; 600 GB at the measured
26 MB/s is ~6.5h, so the cap sits far above any legitimate transfer.

Also fixes the incoherent layering the same error exposed: the resumable upload
carried a 1h retry budget nested inside the 25m ceiling, so the inner budget was
unreachable and the message still blamed it ("failed after 1 attempts within
1h0m0s budget") while the 25m parent was the actual killer. The upload now
adopts the caller's deadline when there is one, and applies its fixed budget
only when nothing above bounded it - which also stops a fixed 1h from
reintroducing the size cliff under the now-extendable parent.

This is the successor to #10968, where a hardcoded 5-minute LoadModel gRPC
timeout was replaced by this derived ceiling. Fixing the inner timeout exposed
the outer ceiling as the new binding constraint.


Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Edit] [Bash]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-21 15:34:33 +02:00
Richard Palethorpe
0d2124894e docs(realtime): fix Opus backend installation (#11018)
The Realtime guide incorrectly sent the Opus backend through the model gallery endpoint. Point users to the backend gallery API and document the UI and CLI alternatives.

Assisted-by: Codex:gpt-5

Signed-off-by: Richard Palethorpe <io@richiejp.com>
2026-07-21 15:33:55 +02:00
mudler's LocalAI [bot]
54d5c18bfb fix(model): only announce a load at INFO when a load actually happens (#11017)
backendLoader logged "BackendLoader starting" at INFO as its very first
statement, unconditionally. That reads as "a model is being loaded", but
backendLoader is not only a load path: in distributed mode Load()
deliberately bypasses the local cache and calls backendLoader on every
inference request so SmartRouter can re-pick a replica per request. The
model is already resident, no process is spawned, and nothing is loaded,
yet the banner fires at request rate.

On a live cluster this produced ~5 "BackendLoader starting" lines per
second for a single embedding model, sustained, starting 22 seconds
after the load had already completed. The model was state=loaded with
in_flight=0 and exactly one backend process on the worker. It looked
exactly like a retry storm and cost real debugging time during an
unrelated production investigation. The adjacent "effective runtime
tuning" banner, documented as "logged once per load", had the same
problem for the same reason.

Emit both banners at INFO only when the model is not already resident,
and keep the per-call trace at DEBUG for anyone following the routing
path. isResident is a plain store lookup with no health probe and no
eviction, so it is safe on the per-request hot path (unlike
checkIsLoaded, which probes and can evict).

Same class of defect as #10985: a log line that sends the reader after
the wrong thing.


Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Edit] [Bash]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-21 15:33:29 +02:00
mudler's LocalAI [bot]
49fcdd921f chore: ⬆️ Update CrispStrobe/CrispASR to 644a8b1b31ca42e26f641df38e323ed9d698a1ff (#11007)
⬆️ Update CrispStrobe/CrispASR

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-21 15:33:00 +02:00
mudler's LocalAI [bot]
e887a1ccf3 chore: ⬆️ Update ServeurpersoCom/qwentts.cpp to ba4c7f7838ecb24a75b0ac94e14fdbebb6bb138c (#11006)
⬆️ Update ServeurpersoCom/qwentts.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-21 15:32:46 +02:00
mudler's LocalAI [bot]
5fbd79a4bb chore: ⬆️ Update PrismML-Eng/llama.cpp to 7529fdaaf99ffdc5ca71ace9c7409a56b27ad92f (#11009)
⬆️ Update PrismML-Eng/llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-21 15:32:26 +02:00
dependabot[bot]
2a8eb5a04b chore(deps): bump the npm_and_yarn group across 1 directory with 5 updates (#11011)
Bumps the npm_and_yarn group with 5 updates in the /core/http/react-ui directory:

| Package | From | To |
| --- | --- | --- |
| [dompurify](https://github.com/cure53/DOMPurify) | `3.4.0` | `3.4.11` |
| [hono](https://github.com/honojs/hono) | `4.12.18` | `4.12.31` |
| [qs](https://github.com/ljharb/qs) | `6.15.0` | `6.15.3` |
| [react-router](https://github.com/remix-run/react-router/tree/HEAD/packages/react-router) | `7.13.1` | `7.18.1` |
| [undici](https://github.com/nodejs/undici) | `7.25.0` | `7.28.0` |



Updates `dompurify` from 3.4.0 to 3.4.11
- [Release notes](https://github.com/cure53/DOMPurify/releases)
- [Commits](https://github.com/cure53/DOMPurify/compare/3.4.0...3.4.11)

Updates `hono` from 4.12.18 to 4.12.31
- [Release notes](https://github.com/honojs/hono/releases)
- [Commits](https://github.com/honojs/hono/compare/v4.12.18...v4.12.31)

Updates `qs` from 6.15.0 to 6.15.3
- [Changelog](https://github.com/ljharb/qs/blob/main/CHANGELOG.md)
- [Commits](https://github.com/ljharb/qs/compare/v6.15.0...v6.15.3)

Updates `react-router` from 7.13.1 to 7.18.1
- [Release notes](https://github.com/remix-run/react-router/releases)
- [Changelog](https://github.com/remix-run/react-router/blob/react-router@7.18.1/packages/react-router/CHANGELOG.md)
- [Commits](https://github.com/remix-run/react-router/commits/react-router@7.18.1/packages/react-router)

Updates `undici` from 7.25.0 to 7.28.0
- [Release notes](https://github.com/nodejs/undici/releases)
- [Commits](https://github.com/nodejs/undici/compare/v7.25.0...v7.28.0)

---
updated-dependencies:
- dependency-name: dompurify
  dependency-version: 3.4.11
  dependency-type: direct:production
  dependency-group: npm_and_yarn
- dependency-name: hono
  dependency-version: 4.12.31
  dependency-type: indirect
  dependency-group: npm_and_yarn
- dependency-name: qs
  dependency-version: 6.15.3
  dependency-type: indirect
  dependency-group: npm_and_yarn
- dependency-name: react-router
  dependency-version: 7.18.1
  dependency-type: indirect
  dependency-group: npm_and_yarn
- dependency-name: undici
  dependency-version: 7.28.0
  dependency-type: indirect
  dependency-group: npm_and_yarn
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-07-21 09:40:42 +02:00
mudler's LocalAI [bot]
9c8f510021 chore(model gallery): 🤖 add 1 new models via gallery agent (#11013)
chore(model gallery): 🤖 add new models via gallery agent

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-21 09:40:24 +02:00
localai-org-maint-bot
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>
2026-07-21 09:40:10 +02:00
mudler's LocalAI [bot]
7bda73fd66 chore: ⬆️ Update ServeurpersoCom/omnivoice.cpp to f39cc4a3af988091f662313b336dddf8c83a3fb5 (#11002)
⬆️ Update ServeurpersoCom/omnivoice.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-21 09:39:35 +02:00
mudler's LocalAI [bot]
a2c87947a9 chore(model-gallery): ⬆️ update checksum (#11005)
⬆️ Checksum updates in gallery/index.yaml

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-21 08:48:14 +02:00
mudler's LocalAI [bot]
7c984f5c81 chore: ⬆️ Update vllm-metal (darwin) to v0.3.0.dev20260720105820 (#11003)
⬆️ Update vllm-project/vllm-metal (darwin)

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-21 08:48:02 +02:00
mudler's LocalAI [bot]
f8755997cc feat(swagger): update swagger (#11001)
Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-21 08:47:02 +02:00
mudler's LocalAI [bot]
d0401f9bb4 chore: bump go-processmanager to pick up the concurrent-Run fix (#11004)
Picks up mudler/go-processmanager#7, which closes the check-then-act
window in Run's "already started" guard. Concurrent Run calls on one
handle could each observe a nil p.proc, each start a process and each
launch a monitor goroutine; every monitor does `defer close(p.done)`
against a channel created once in New, so the second monitor to see its
process exit panicked on close of a closed channel. The same window
raced on p.proc itself.

LocalAI does not hit this today: the only New/Run pair
(pkg/model/process.go:178-191) runs a freshly created handle, and
core/services/worker/supervisor.go only ever calls Stop on handles it
holds. The bump is defensive, and keeps the dependency from drifting
further behind a fix in the process lifecycle we rely on.

No exported signature changes upstream; ErrProcessAlreadyRun is
additive and keeps the historical "command already started" prefix, so
any caller matching on that text is unaffected. Nothing in this repo
matches it.

Verified: go build ./core/... ./pkg/... clean; go vet clean;
go test -race ./pkg/model/ ./core/services/worker/ both ok.


Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Bash] [Edit]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-20 23:32:29 +02:00
mudler's LocalAI [bot]
0cdd781c2d ci(gallery): propose variant groupings for review instead of letting them decay (#10992)
ci(gallery): propose variant groupings for review on a schedule

A gallery entry may declare `variants:`, references to other entries that
are alternative builds of the same weights, and auto-selection then installs
the best build for the host. Those families exist only because humans curated
them in two manual sweeps.

The gallery agent dedupes on the HuggingFace repo URL and picks one
quantization per model, so it never adds a second build of a repo it already
has, and consequently never creates a family and never joins one. A model
published across two repos lands as two unrelated standalone entries. The
grouping decays as the gallery grows and nothing notices.

Add a scheduled job, in the same shape as the checksum checker: compute
offline, edit the index textually, open a pull request against ci-forks. It
proposes and never decides. Grouping is a judgement call that has gone wrong
in both directions, so the value is catching drift and surfacing candidates
with their evidence.

Three grouping signals, taken from the manual sweeps: same name once
quantization markers are stripped, the `:` config-suffix convention, and the
same primary weight filename once quantization markers are stripped. The
third requires the same upstream repository. Excluding auxiliary files is not
enough on its own: bert-embeddings, an ultravox audio model and a roleplay
finetune all declare a primary file called llama-3.2-1b-instruct-q4_k_m.gguf,
and grouping on that is the same error that linked four wan-2.1 entries and
Z-Image-Turbo to qwen3-4b.

Add gallery/variant-exclusions.yaml, a checked-in rejection ledger. A job
that re-proposes declined candidates every night becomes noise and gets
ignored. Declining a proposal is one flow-mapping line a reviewer adds inside
the proposal pull request itself. Seeded with the six -abliterated pairs whose
base is also in the gallery, the mistral-small multimodal pair, the whisper-1
alias, the kokoros language set, and the recurring finetune tokens. qat and
apex are deliberately not on it: they are quantization techniques.

Proposals refuse to nest, to let two parents claim one target, to target an
entry that installs nothing, and to touch a merge anchor, since a variants key
added to an anchor is inherited by every merging child. The anchor refusal
names every entry that would inherit, which is the worklist a human needs.

Run against the pre-sweep gallery, the job rediscovers 12 of the 19 groupings
the second manual sweep made, with no false positives. The rest it reports as
refusals or ledger declines rather than missing silently.

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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-20 23:08:00 +02:00
mudler's LocalAI [bot]
f01038f479 fix(modelartifacts): stage each writer's artifact in its own partial tree (#10995)
Every writer used to stage into the same `.artifacts/.partial/<cacheKey>`.
That was safe only because the artifact lock held: two writers that both
believed they had it opened the same blob with O_APPEND and interleaved
their bytes into one file, while the resume probe read the other writer's
in-flight size. SHA verification caught the damage only after both had
burned the entire download.

#10986 restored the lock's precondition on CIFS but left the dependency in
place. Suffix the staging tree with a writer identity drawn once per
process run, so concurrent writers cannot corrupt each other whatever the
lock does. The lock stops being a correctness dependency and becomes a
pure efficiency optimisation: a lock failure now costs a duplicated
download, not a corrupted one.

Commit stays an atomic rename. The loser of a commit race reconciles onto
the winner's tree instead of surfacing a bare ENOTEMPTY for work that
actually succeeded, since the artifact is content-addressed and both trees
hold the same verified bytes.

Writer-unique staging means a crashed writer's tree is no longer
overwritten by its successor, so two things are added to keep it from
becoming a disk leak and a resume regression:

- A sweep reclaims trees whose contents have been untouched for 24h,
  matching the window the startup reaper already uses for stray *.partial
  files. It reads the newest mtime anywhere inside the tree, because
  writing a blob never touches an ancestor, and refuses any name this
  package did not write. A live download writes continuously, and the
  downloader's stall watchdog aborts a silent one long before it could
  look abandoned.

- Adoption lets a restarted process claim a dead predecessor's tree for
  the same artifact and resume from its bytes, which a tens-of-gigabytes
  repo depends on. The claim is an atomic rename, so racing adopters
  cannot both win. It runs only under the artifact lock - which is
  released exactly when the owning process dies - and only on a tree idle
  for 5 minutes as a second line of defence for when the lock does not
  exclude.


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-20 23:07:43 +02:00
mudler's LocalAI [bot]
0eb8a1188d fix(worker): give the worker a real health endpoint and a mode-aware HEALTHCHECK (#10999)
fix(worker): give the worker a real health endpoint (#10987)

The image bakes in a single HEALTHCHECK that curls
http://localhost:8080/readyz, but the same image also runs `local-ai
worker`, which serves HTTP on the gRPC base port minus one and never
binds 8080. Every worker container was therefore permanently
`unhealthy` (43 consecutive failures observed on a production node),
which is worse than having no healthcheck: a genuinely broken worker and
a perfectly good one both report `unhealthy`, so the signal carries no
information and orchestration that keys on it misbehaves.

The worker already served /readyz on that port via the file-transfer
server, but as a constant 200 — it only proved the listener was bound,
which is precisely the failure mode at issue. Readiness now tracks the
live NATS connection: all of a worker's actual work (backend lifecycle
events, inference dispatch, file staging) arrives over NATS, so a worker
whose link is dead is up and useless. Registration is already implied,
since the server only starts after registration succeeds.

This reports something the controller cannot already see. The node
registry's status/last_heartbeat is fed by an HTTP heartbeat to the
frontend, a different network path from NATS — a worker can keep
heartbeating while its NATS connection is dead and still look healthy in
the registry. /healthz stays a constant 200: liveness must not follow
readiness, or a NATS blip becomes a cluster-wide restart storm.

The HEALTHCHECK is now a script that derives its endpoint from the mode
the container is actually running plus the env vars that configure the
bind address, so a frontend moved off 8080 with LOCALAI_ADDRESS (broken
the same way) and a worker on a non-default base port are both probed
correctly. Modes with no HTTP surface (agent-worker, one-shot commands)
report healthy rather than false-unhealthy. HEALTHCHECK_ENDPOINT remains
as an explicit override, so the workaround shipped in
docker-compose.distributed.yaml keeps working; both overrides in that
file are now unnecessary and have been removed.

Also fixes the latent --start-period gap. Since #10949 a frontend's
startup preload materializes HuggingFace artifacts before the HTTP
server binds (31 GB observed on a live cluster), so a healthy replica
can legitimately fail probes for a long time. --start-period is Docker's
knob for exactly this: failures inside it leave the container `starting`
instead of burning retries, and it ends early on the first success, so a
generous 60m costs a fast-starting container nothing. --timeout drops
from 10m to 10s — it is a per-probe deadline, and a localhost curl that
has not answered in 10s is itself the fault being detected.


Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Edit] [Bash]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-20 23:07:27 +02:00
mudler's LocalAI [bot]
d7e04dcc32 fix(openresponses): make responses visible and cancellable across replicas (#11000)
In distributed mode the Open Responses store is process-local: a
sync.OnceValue over a map behind an RWMutex. With several frontend
replicas behind a round-robin load balancer, every request that lands on
a replica other than the creator misses.

Measured on a live 2-replica cluster (#10993): the same response id
returns 200 on the creating replica and 404 on its peer, and a cancel on
the peer returns 404 without ever invoking CancelFunc, so generation runs
to completion on the other replica while the caller is told the response
does not exist. previous_response_id chaining fails through the same
lookup.

Split the state by what can actually cross a process boundary:

- Replicated: response metadata (request, response resource, owner,
  expiry, stream/background flags) via syncstate.SyncedMap, the same
  component finetune, quantization and agent tasks already use. A local
  miss in Get/FindItem now falls back to it and returns a read-only
  remote view, so polling and chaining resolve on any replica.

- Delegated: cancellation. context.CancelFunc is a function pointer and
  exists only in the creating process, so a cancel that lands elsewhere
  is broadcast on responses.<id>.cancel and applied by whichever replica
  holds the function. The broadcast is fire-and-forget rather than
  request/reply: if the owner crashed or was scaled down nobody answers,
  and the handler must not block on a reply that will never come. The
  replicated status moves to cancelled either way, which is truthful,
  since a dead owner's generation died with its process.

- Refused: streaming resume. The resume buffer is a byte log plus a live
  notification channel and cannot be replicated without shipping every
  token over the bus. A resume that reaches the wrong replica now returns
  HTTP 409 naming the owning replica via the new ErrResponseNotLocal,
  instead of an empty event list that looks like a finished stream. It is
  deliberately distinct from ErrOffsetLost, which means the owner's
  buffer evicted the requested events.

Standalone deployments never call EnableDistributed and keep exactly the
previous process-local behaviour.

Fixes #10993


Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Edit] [Bash]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-20 23:06:33 +02:00
mudler's LocalAI [bot]
a4bab71f27 gallery: remove duplicated entries and lint against them recurring (#10996)
gallery: remove duplicated entries and lint against them coming back

gallery/index.yaml declared eight names twice: deepseek-r1-distill-llama-8b,
llama3.2-3b-enigma, qwen3-asr-0.6b, qwen3-asr-1.7b, qwopus-glm-18b-merged,
voice-en-us-kathleen-low, whisper-large-q5_0 and whisper-small-q5_1.

FindGalleryElement resolves a reference by returning the first match, so in
every pair the second copy was unreachable: it could not be installed, could
not be selected as a variant target, and could not be corrected, because any
edit to it went to a copy nobody reads. A reference to such a name is also
ambiguous to anything reasoning over the catalog, which is why the variant
proposal job refuses to propose against them.

Each pair was compared both as parsed entries and as raw text, and all eight
were byte-identical apart from position. None of the sixteen blocks defines a
YAML anchor or pulls one in with a merge key, so nothing was reachable only
through a deleted block, and no entry named a removed copy as a variant target.
Removing the second copy of each therefore changes no behaviour: the parsed set
loses exactly eight entries and every surviving entry is field-for-field
unchanged.

The removal is textual, by line range, so the diff is pure deletions rather than
a reflow of forty thousand lines.

checkNoDuplicateEntryNames is the rule that keeps them out, added beside the
existing gallery invariants and reporting in the same style.

checkSingleVariantClaim closes the adjacent gap in the same place. VariantParents
resolves a build claimed by two parents by taking the first in gallery order and
calls that deterministic "for a gallery the linter would reject", but nothing
rejected it: the invariant was held by curation alone. Now it is a rule, and the
comment describes something real. No target is doubly claimed today, so the rule
is green on arrival.

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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-20 22:58:48 +02:00
mudler's LocalAI [bot]
2f33ad6669 fix(modelartifacts): treat CIFS EACCES as lock contention, not failure (#10986)
flock(2) on CIFS/SMB returns EACCES when another client holds the lock:
the kernel maps STATUS_LOCK_NOT_GRANTED and STATUS_FILE_LOCK_CONFLICT to
-EACCES and never produces EWOULDBLOCK on that path. gofrs/flock only
recognises EWOULDBLOCK as contention, so TryLockContext returned a bare
"permission denied" and Ensure aborted. Both replicas then fell back to
legacy loading, which makes the worker download the whole repo in-band
inside LoadModel and blow the remote-load deadline.

Replace TryLockContext with an explicit wait loop over a new Locker
interface, classifying EWOULDBLOCK/EAGAIN/EACCES/EBUSY as contention.
EACCES is ambiguous at the syscall boundary but not here: the lock file
is already open O_CREATE|O_RDWR, so a real permission problem would have
failed the open with an *fs.PathError, and flock(2) documents no EACCES
on Linux at all. The wait is bounded (DefaultLockWait, overridable via
WithLockWait), so even a misclassification degrades to a delay. On
timeout the committed result is re-checked before reporting the new
ErrLockContended, so a peer that finished the work still wins.

Locker also exists so the contention path is testable without a network
filesystem: nothing in CI can make flock(2) return EACCES on demand.

Raise the fallback to error for a managedArtifactBackends backend, via a
shared config.LogArtifactFallback used by both call sites. For those
backends the legacy path is not graceful degradation, and the operator
otherwise sees only a timeout with no causal link. The fallback stays
non-fatal.

Drop the os.Chmod(layout.Lock, 0o600) after acquisition: flock.New
already creates the file 0600, and the chmod was gratuitous risk on a
nounix mount that ignores modes.

Fixes #10981


Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Edit] [Bash]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-20 22:12:39 +02:00
mudler's LocalAI [bot]
1cd7d63c7b fix(distributed): reject wrong-model requests on the remaining modalities (#10990)
#10970 gave the four PredictOptions RPCs a model-identity check so a
backend reached through a stale distributed route rejects the request
instead of answering from whatever model it holds (#10952). Every other
modality shares that exposure: the route is cached by host:port, a worker
can recycle a stopped backend's port for another model's backend, and a
liveness-only probe cannot tell a stale row from a valid one.

Extends the same mechanism to the 21 remaining request messages that reach
a backend through the router, using the pattern #10970 established rather
than a parallel one:

- proto: ModelIdentity on each modality request message.
- controller: populated from ModelConfig.Model at the call site that also
  builds ModelOptions, so load-time and request-time values are equal by
  construction.
- backends: one generic guard in pkg/grpc/server.go (27 Go backends), the
  method set in backend/python/common (36 Python backends), llama-cpp
  (AudioTranscription/Stream, Rerank, Score) and privacy-filter
  (TokenClassify).
- reconcile already drops the stale row on IsModelMismatch; no change.

TTSRequest and SoundGenerationRequest get a SEPARATE ModelIdentity field
rather than reusing their existing `model`: FileStagingClient rewrites
`model` to a worker-local path, so comparing it would reject valid
requests in exactly the configuration this guards.

AudioEncode/AudioDecode are deliberately left unguarded: the opus codec
backend is loaded from a literal rather than a ModelConfig, so no value
carries the equality guarantee the comparison depends on. The four
bidirectional stream RPCs are out of scope; they bypass reconcile.

Empty means skip on both sides, so an old controller, an old backend, and
the bare request structs in tests/e2e-backends all keep working.


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-20 21:58:19 +02:00
mudler's LocalAI [bot]
a784cf669f fix(ci): rebuild Go backends on linked pkg/ changes and on matrix entry edits (#10988)
PR #10975 taught the backend matrix filter about shared build inputs, but
left two paths that still rebuild nothing.

Go backends link code from the main tree. `go list -deps ./backend/go/...`
resolves to exactly six pkg subtrees (audio, grpc incl. base/grpcerrors/proto,
httpclient, sound, store, utils), identical for GOOS/GOARCH in
{linux,darwin} x {amd64,arm64}. Editing any of them changes the shipped
binary, but they sit outside every backend directory so the prefix match
never saw them. Enumerating those six rather than taking all of pkg/ is the
point: all of pkg/ changes in ~8.6% of commits, these six in 2.0% — the same
order as the already accepted scripts/build/ rule (1.9%). Blast radius
199/417 Linux, 26/56 Darwin; the ~21 core-server-only pkg subtrees still
rebuild nothing, and neither do _test.go files.

.github/backend-matrix.yml was excluded wholesale because matching its path
would rebuild all 417 entries on every new-backend PR. That hid a real hole:
editing an existing entry's base-image, build-type or cuda version changes
the image it produces while touching no file the filter can see. Since the
change is within a structured file, compare it against the base revision and
rebuild only the entries whose fields actually differ — 1 entry for a
base-image edit, 0 for a comment or whitespace edit, and all 417 only when
the previous revision cannot be resolved. This also closes a third hole: a
new matrix entry for an existing backend (a new CUDA variant, say) touches
nothing under that backend's directory and previously rebuilt nothing.

changed-backends.js fetches the base revision via the contents API, and only
when the changed-file list actually names the matrix file, so the common path
costs no extra request.


Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Edit] [Bash]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-20 21:46:37 +02:00
mudler's LocalAI [bot]
65bdbc4ee3 fix(http): make /readyz reflect startup readiness, plus gitignore and coverage-ratchet fixes (#10989)
* fix(http): make /readyz reflect startup readiness instead of always 200

/readyz was registered as a static handler returning 200 unconditionally,
so it carried no information: it was green whenever it could be reached at
all. Readiness could not distinguish "serving" from "still starting", and
any future change that started the HTTP listener earlier would silently
turn the probe into a lie.

Track startup completion on the Application (atomic flag, flipped at the
very end of New() on the success path only) and have the readiness handler
consult it per request, returning 503 with a small JSON body while startup
is in progress. A nil readiness source fails open so embedders keep the
historical behaviour.

/healthz is deliberately left readiness-independent. Liveness and readiness
answer different questions, and failing liveness during a long preload makes
an orchestrator restart the pod mid-download so the preload never finishes.

This matters because since #10949 the startup preload materializes
HuggingFace artifacts for managed backends: tens of GB for a large model
(31 GB observed on a live cluster). Both probes stay in quietPaths and stay
exempt from auth.

Note the listener is still started only after New() returns, so today the
not-ready state is not observable over HTTP. Moving the listener earlier is
a separate, deliberate decision and is not made here.

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

* chore(gitignore): anchor the mock-backend pattern so its source dir is traversable

The bare `mock-backend` pattern matched the *directory*
tests/e2e/mock-backend/, not just the binary built into it. Git will not
descend into an ignored directory even for tracked files, so
`git add tests/e2e/mock-backend/main.go` required -f. This was hit while
working on #10970.

Anchor it to the artifact's full path. The built binary stays ignored (it is
also covered by tests/e2e/mock-backend/.gitignore) while the source directory
becomes traversable again.

Verified with `git check-ignore -v`: a new source file under
tests/e2e/mock-backend/ is no longer ignored, and the binary produced by
`make build-mock-backend` still is.

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

* chore(coverage): raise the coverage ratchet from 48.5% to 54.2%

The committed baseline had drifted well below reality: it still read 48.5%
while a full instrumented run measures 54.2%. A stale-low baseline makes the
gate meaningless — coverage could regress by more than 5 percentage points
and still pass.

Raising a ratchet is a deliberate act, not something to fold into an
unrelated fix, so it gets its own commit. The headroom was earned by tests
landed in #10946, #10947, #10948, #10949, #10956, #10967, #10968, #10970 and
#10975.

Measured with `make test-coverage` on this branch (the same instrumented run
`make test-coverage-baseline` uses: ginkgo over ./pkg and ./core plus the
in-process tests/e2e suite, --covermode=atomic, --coverpkg over core/... and
pkg/..., generated protobuf excluded). The run completed with exit 0 and zero
spec failures; the total was then written with the exact command the
test-coverage-baseline target uses:

  go tool cover -func=coverage/coverage.out \
    | awk '/^total:/{gsub(/%/,"",$NF); print $NF}' > coverage-baseline.txt

Verified afterwards with scripts/coverage-check.sh, which reports OK.

Note the measured figure includes the readiness specs added earlier on this
branch, so it is a demonstrated floor rather than an estimate.

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

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-20 21:45:27 +02:00
mudler's LocalAI [bot]
0d9d07d3a5 fix(downloader): distinguish read from write failures and retry transient ones (#10985)
Two independent defects in the download path, both surfaced by the same
incident (#10982).

A failed `io.Copy` was always reported as "failed to write file", because
`io.Copy` folds read and write errors into a single return value. A
peer-cancelled HTTP/2 stream therefore presented as a filesystem failure and
sent an investigation after mount permissions while the disk was healthy. The
source is now wrapped in a recorder so the error names the side that actually
broke, and a write failure names the `.partial` it was writing rather than the
final blob path.

The plan runner returned on the first task error with no retry, so one
transient stream cancel discarded every file already downloaded in a
multi-file materialization. The `.partial` resume machinery already existed
but was unreachable because nothing made a second attempt. Transient failures
(dropped transport, mid-stream read failure, stall, 5xx, 429) are now retried
with bounded exponential backoff and resume from the partial; permanent ones
(4xx, checksum mismatch, local write failure, caller cancellation) fail
immediately.


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-20 19:56:09 +02:00
mudler's LocalAI [bot]
f381844403 gallery: group QAT, APEX and cross-backend builds under their base entry (#10983)
feat(gallery): group 21 more model families under variants

Second variant-grouping sweep. QAT and APEX builds are now treated as
quantization techniques rather than distinct weights, per maintainer
ruling, so they group with their base entry instead of standing alone.

Adds 15 new families: quantization and serving-config pairs for
llama-3.2-1b/3b-instruct, dolphin-2.9-llama3-8b, phi-2-chat, ideogram-4,
meta-llama-3.1-8b-instruct, omnivoice-cpp and qwen3-tts-cpp; the gemma-3
4b/12b/27b QAT families; and three cross-backend pairs (silero-vad plus
its sherpa-onnx build, and the vibevoice TTS and ASR builds shared
between the vibevoice-cpp and crispasr backends). The cross-backend
pairs are the first entries that meaningfully exercise engine-preference
ranking during auto-selection.

Restructures four gemma-4 families (31b-it, 26b-a4b-it, e2b-it, e4b-it).
Those bare entries were skipped by the first sweep, which left a QAT
build as parent by default. The bare entry is what installs when nothing
else fits, so it reclaims the parent slot and the former parent becomes
a plain target. Every pre-existing relationship is preserved; nothing is
dropped and nothing nests. gemma-4-12b-it has no bare entry, so it is
left as is.

qwen3-tts-cpp is a YAML anchor with nine merging children, so the five
children that did not already override variants get an explicit empty
list to stop them inheriting the parent's.

Abliterated builds stay excluded: abliteration edits the weights to
remove refusal behaviour, which makes them a different model rather than
another build of the same one.

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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-20 19:34:03 +02:00
mudler's LocalAI [bot]
83a0f16a21 feat(gallery): let one gallery entry offer several builds of the same model (#10943)
* feat(system): expose raw detected capability for model meta resolution

Model meta gallery entries express hardware fallback through candidate
ordering rather than a capability map, so they need the undecorated
detected capability string without Capability's default/cpu fallback
chain.

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

* refactor(system): drop duplicate capability accessor, cover DetectedCapability

ReportedCapability was added with a body identical to the existing
DetectedCapability. Keep one accessor and move the specs onto it, since
DetectedCapability had no direct coverage of its no-fallback behavior.

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

* feat(vram): parse IEC binary size suffixes (KiB..PiB)

ParseSizeString accepted only SI suffixes, so a "20GiB" floor was rejected
outright. Model and VRAM sizes are conventionally quoted in IEC units, and
silently reading GiB as GB would understate a floor by about 7%.

Purely additive: these inputs previously returned an unknown-suffix error.

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

* feat(gallery): add Candidate type for meta model entries

Candidate is one option in a meta entry's ordered variant list. It names a
concrete gallery entry and declares when that entry suits the host.

EffectiveMinVRAM resolves the VRAM floor, letting an authored min_vram win
over a nightly-inferred one. An unparseable floor errors instead of being
treated as absent: swallowing a typo would turn a constrained candidate into
an unconstrained one and select a too-large variant rather than fail loudly.

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

* feat(gallery): add hardware-aware model variant resolver

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

* feat(gallery): allow gallery model entries to declare variant candidates

A gallery entry with a non-empty candidates list is a meta entry: it names
an ordered list of concrete entries and resolves to the first one the host
can satisfy, instead of describing model files directly.

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

* feat(gallery): resolve meta model entries to hardware-appropriate variants at install

Meta gallery entries carry an ordered candidate list; at install time the
first candidate the host satisfies is resolved and its payload installed
under the meta's name, so the model keeps a stable name regardless of which
variant backs it. The resolution is recorded in the installed gallery
config so a reinstall honors a prior pin and operators can see the backing
variant.

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

* fix(gallery): key meta pin recall on the installed name and detach resolved entries

Six review findings on the meta-entry install path.

Pin recall was keyed on the gallery entry name while applyModel writes the
record under the install name (req.Name when supplied), so a meta installed
under a custom name with a pin lost that pin on reinstall and was silently
re-resolved onto a different variant, possibly swapping its backend. Compute
the install name with applyModel's own precedence before the recall.

ResolveMetaModel returned a shallow struct copy, so the resolved entry's
Overrides aliased the gallery entry's map and the install path's in-place
mergo merge wrote the caller's request into the shared catalog. Detach
Overrides, ConfigFile, AdditionalFiles, URLs and Tags. Not exploitable today
only because this path re-unmarshals the gallery per call, which is a
property nobody should have to rely on.

Also: overlay the meta's name onto the persisted config for meta installs so
the gallery file no longer records the variant's name; move the pinned-VRAM
warning below the variant validation so a pin naming a nonexistent entry does
not warn about VRAM before failing for an unrelated reason; and stop seeding
config.URLs in the config_file branch, which duplicated every declared URL.

Add seven network-free specs driving InstallModelFromGallery with a meta
entry: variant payload wins over the meta's legacy url fallback, the
resolution record round-trips to disk, a pin is recorded and honored on
reinstall including under a custom install name, and the resolved entry does
not alias the gallery's maps.

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

* fix(gallery): deep-copy meta overrides and make two specs functional

ResolveMetaModel detached the resolved entry's Overrides and ConfigFile with
maps.Clone, which only copies the top level. Gallery overrides are nested in
practice (parameters.model is near-universal) and the install path merges the
caller's request with mergo.WithOverride, which recurses into nested maps and
overwrites them in place, so the gallery entry's own inner maps were still
reachable and still got rewritten by the last caller to install.

Copy both maps all the way down instead, recursing through the container shapes
a YAML decoder produces. ConfigFile is not mutated on the install path today,
but it carries the same kind of nested payload and leaving it shallowly cloned
would invite the bug back.

Also fix two specs that passed whether or not their target fix was present:

- "does not write the caller's overrides back into the gallery entry" re-read
  the catalog from disk, which re-unmarshals fresh structs and so cannot
  observe in-memory aliasing. It now asserts against the in-memory gallery
  entry and drives the real mergo merge.
- "round-trips the resolution record to disk under the meta's name" asserted a
  name that is already correct in the config_file branch. It now drives the url
  branch via a file:// fixture, where the meta-name overlay actually applies.

Both were verified red by reverting their fix.

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

* test(gallery): lint meta model entry invariants in index.yaml

Adds Ginkgo specs that parse the shipped gallery/index.yaml and enforce
the invariants that keep meta entries safe: a legacy url fallback equal
to the final candidate's url, references only to existing non-meta
entries, a min_vram floor on every candidate but the last-resort one,
a capability drawn only from the vocabulary the system can report, and
descending VRAM floors within a capability group.

The capability check is the only compensating control for a typo there.
Candidate matching is a case-sensitive exact comparison against
SystemState.DetectedCapability(), so an unknown value never matches and
falls through silently instead of erroring. The vocabulary therefore
mirrors the raw return set of getSystemCapabilities(), which notably
excludes "cpu": that is a fallback key inside Capability(capMap) on the
meta backend path, never a reported capability. A CPU-only host reports
"default".

These pass vacuously until the pilot meta entry lands; the guard is
intentionally in place before the thing it guards.

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

* test(gallery): close coverage gaps in the meta entry lint

The ordering invariant grouped candidates by capability and asserted floors
descend within a group. A candidate with an EMPTY capability matches every
host, so it does not belong in its own group: it dominates every later
candidate whose floor is at or above its own, across capability groups.
Track a running minimum floor over the unconditional candidates instead,
which subsumes the old same-group check for the empty capability.

Every spec skipped non-meta entries, so with zero meta entries in the index
all five bodies were no-ops. Aligning GalleryModel.IsMeta() with
GalleryBackend.IsMeta(), whose semantics are deliberately opposite, would
have made all of them pass while checking nothing. Extract each invariant
into a helper over a slice of entries returning the violations it finds, and
cover those helpers with synthetic fixtures so the logic stays tested at zero
meta entries. The index-driven specs are now a thin application of already
proven logic.

Also assert the index parses non-empty, report every violation in one run
rather than aborting on the first, and parse the index once for the suite.

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

* ci(gallery): add nightly denormalization of meta model candidates

Fills the read-only backend, quantization and inferred_min_vram fields on
meta gallery candidates and opens a PR, modeled on the existing
checksum_checker job. Computing these needs network access, so it happens
nightly rather than at install time.

An authored min_vram is never modified: a human who measured a real load
knows more than a pre-download estimate does.

The index is rewritten via yaml.Node rather than a document round-trip. A
full round-trip reflows all ~26k lines of gallery/index.yaml, which would
bury the computed values and make the nightly PR unreviewable. The rewrite
touches only the three derived keys, so authored styling survives and a run
that computes nothing leaves the file untouched.

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

* fix(ci): keep the gallery denormalize diff reviewable and self-healing

The nightly denormalization job edits YAML nodes instead of round-tripping
structs so its PR stays small enough for a human to review, but the write
path undid that: yaml.Marshal re-encoded the node tree at yaml.v3's default
4-space indent and dropped the leading document marker, reflowing roughly
6000 lines around the handful of real changes. Encode through
yaml.NewEncoder at the index's authored 2-space indent and restore the
header. A write that changes three fields now changes three lines.

Stale inferred_min_vram values were also never cleared. Both skip paths
(an authored min_vram is present, or the candidate is the last resort)
returned before touching the field, so a candidate that gained a floor or
became the last resort after a reorder kept an inferred value that
EffectiveMinVRAM reported as a real constraint, failing the meta lint with
no way for the job to self-heal. Clear the field before both skips.

The workflow discarded a whole night's work on any single failure: the
program exits 1 when a candidate cannot be estimated, which aborted the job
before the PR step, so one unreachable candidate blocked every other
refresh indefinitely. Capture the status, open the PR with what was
computed, mark the PR body as partial, and fail the run afterwards so the
problem still surfaces.

Also preserve the index's existing file mode instead of forcing 0644, and
drop the redundant //go:build ignore tag, since Go already skips dot
directories and the sibling modelslist.go carries no tag.

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

* feat(gallery): add nanbeige4.1-3b meta entry with hardware-resolved variants

Adds the first real meta entry to the gallery index. It resolves to the
Q8_0 build on hosts with at least 6GiB of VRAM and to the Q4_K_M build
everywhere else, installing either payload under the stable name
nanbeige4.1-3b.

The entry carries a url equal to its final candidate's url. LocalAI
releases that predate candidates support parse the index non-strictly
and drop the key silently, so without that url they would list the entry
and install nothing. A regression spec parses the index the way those
releases do and asserts every meta entry stays installable for them.

Also teaches core/schema/gallery-model.schema.json about candidates. The
schema sets additionalProperties: false at the top level, so an author
following CONTRIBUTING.md and adding the yaml-language-server comment
would otherwise get a validation error on this entry.

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

* feat(gallery): make candidate entries complete, installable entries

Reworks hardware-resolved gallery variants after a design pivot. There is no
longer a separate "meta" entry kind. A gallery entry is a normal, complete
entry that may additionally carry candidates:, a list of hardware-gated
upgrades over itself, and the entry is itself the last-resort candidate.

The previous design relied on a bare url: as the fallback for LocalAI releases
that predate candidates support. That fallback is empty in practice: none of
the 80 gallery/*.yaml files carry a top-level files:, and 1216 of 1281 index
entries carry their payload in the index entry itself, so a url alone yields a
config template with nothing to download. Since every released LocalAI reads
gallery/index.yaml live from master, merging a payload-less entry would have
shown every existing user a model that installs to a broken state. Making the
entry its own base candidate removes the problem at the root: old clients drop
the candidates key and install the entry exactly as they do today.

Resolution order is now explicit pin, then capability plus VRAM over the
declared upgrades, then the entry itself. The entry ALWAYS installs: when its
own min_vram or capability is unmet the installer warns and installs it
anyway, because there is nothing below it and refusing would make the gallery
behave worse the newer the client is. A pin naming the entry's own name is
valid and is how an operator declines an upgrade.

IsMeta() becomes HasCandidates(), ResolveMetaModel becomes ResolveVariant, and
the persisted meta_name record key becomes entry_name. GalleryBackend.IsMeta()
is a separate concept and is untouched.

The lint drops the three rules the pivot makes wrong (url equality with the
final candidate, no inline payload, unconstrained final candidate) and gains
one: the entry's own floor must sit strictly below every candidate's, since a
base that outranks a candidate makes that candidate unreachable.

The pilot entry is now the existing nanbeige4.1-3b-q4, which gains a 2GiB
floor of its own and a single 6GiB upgrade to nanbeige4.1-3b-q8, replacing the
separate nanbeige4.1-3b entry added in d0d441bb4.

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

* feat(gallery): select model variants by hardware fit, not authored order

Gallery entries could already carry a list of alternatives, but selection was
an authored, ordered, first-match policy: every candidate declared a
`capability` string and the VRAM floors had to descend in a hand-tuned order.
That pushed hardware knowledge onto whoever edits the gallery and made ordering
load-bearing, so a reordered list silently changed what users installed.

None of it was necessary. SystemState.IsBackendCompatible already derives
hardware support from a backend name alone: it knows MLX and metal are
Darwin-only, CUDA is NVIDIA-only, ROCm AMD-only, SYCL Intel-only. Selection can
read that instead of asking authors to restate it.

Authoring is now just a list of names:

    - name: qwen3.6-27b
      min_memory: 4GiB
      variants:
        - model: qwen3.6-27b-mlx-8bit
        - model: qwen3.6-27b-gguf-q8
          min_memory: 28GiB

and all the intelligence moved into the selector. Given a host it drops the
variants whose backend cannot run here, drops those whose known memory
requirement exceeds what the host has, and takes the LARGEST of what is left,
because a bigger footprint is a higher quality quantization of the same model.
A variant of unknown size is kept, since nothing proves it does not fit, but it
ranks last so a proven fit always beats a guess. An explicit pin still wins
outright, and if nothing survives the entry installs its own payload: the base
always installs, this never refuses.

Available memory is VRAM when a GPU was detected and system RAM otherwise, read
through xsysinfo so a cgroup limit is honored and a container gets its own
limit rather than the node's RAM.

Capability disappears entirely, from the types, the schema and the lint. VRAM
and RAM collapse into one `min_memory`, because a model's footprint is roughly
the same wherever it lives and one figure is compared against whichever applies.
The lint rules about ordering, the capability vocabulary and floor
relationships are deleted with the hazards they described; what remains is that
every variant names an entry that exists and does not itself declare variants,
plus that any memory figure actually parses.

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

* gallery: size model variants with a live probe, drop the nightly denormalizer

Selection needs each variant's size to decide whether it fits and to rank
largest-first. That figure was written into the index by a nightly job, which
made the gallery carry a derived value that could drift from the entry it was
derived from. Derive it at install time instead.

pkg/vram already sizes a model without downloading it, and the gallery UI
already uses it: a remote GGUF header range-fetch, then an HTTP HEAD for the
content length, then any declared size:. It caches its results, so reuse it
rather than writing a second probing path.

A probe failure must never fail an install, so an unprobeable variant is
treated as unknown: it survives the memory filter, because nothing proves it
does not fit, and it ranks last, so a known-good fit always beats a guess. If
every probe fails, selection still terminates on the base entry.

The probe is injected through ResolveEnv rather than called directly, for the
same reason the backend compatibility check is: specs pin an exact size, or an
exact failure, without reaching the network.

With that in place three things are dead weight and go:

- The nightly job and the fields it populated. Variant.Backend was redundant
  because the backend is resolved live from the referenced entry during
  selection, and Quantization was display-only that nothing read.
- min_memory on the base entry. The base always installs and its floor could
  only warn, so it could not change any outcome.
- The lint rules and schema entries for both.

min_memory on individual variants stays, as the override for when the probed
size is wrong. An authored figure now suppresses the probe entirely rather
than merely outranking it, so it costs no round trip.

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

* feat(gallery): expose model variants for selection over API, CLI and MCP

A gallery entry may carry `variants:`, alternative builds of the same model.
Selection already worked at install time, but nothing could see what an entry
offered or ask for a specific build, so the feature was undrivable.

Listing: `GET /api/models` now reports `variants` and `auto_variant` for the
entries that declare variants. Each variant carries its resolved backend, its
measured size and whether it fits this host. `auto_variant` is what installing
without a choice would pick right now.

The new gallery.DescribeVariants runs the same variantOptions + SelectVariant
pass the installer runs, so the reported default cannot drift from what
installing actually does, and HostResolveEnv is extracted so both derive the
host and share pkg/vram's probe cache from one place.

Performance: an entry that declares no variants returns early without touching
the probe, so the ~1280 ordinary entries cost exactly what they cost before.

Selection: `variant` is accepted on POST /models/apply, as a query param on
POST /api/models/install/:id, on the gallery apply file/string request, as
`local-ai models install --variant`, and as a parameter on the install_model
MCP tool (both the httpapi and inproc clients). Empty means auto-select.

An unknown variant name now fails the install naming what was requested. This
closes a real hole: an entry declaring no variants short-circuits before
selection runs, so a requested variant was previously dropped silently and the
install reported success.

startup.InstallModels ends in a variadic model list, so install options could
not be appended to it; InstallModelsWithOptions is added alongside and
InstallModels delegates to it. No caller signature changed.

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

* feat(gallery): drop the redundant variant min_memory field

Variant.MinMemory was an authored override for when the live probe misreads
a variant's footprint. It duplicated an existing field: probeEntryMemory
already passes the entry's declared size: into EstimateModelMultiContext,
whose cascade prefers that declared size over its own guesswork. Correcting
size: on the referenced entry fixes the figure for every consumer rather
than only for variant selection, so min_memory shadowed the right answer.

A variant is now nothing but a name. Its effective size is exactly the probe
result, and an unknown stays unknown: it survives the filter and ranks last.

EffectiveMemory loses its error return along with the field. The authored
string was the only thing that could fail to parse, so the error had no
remaining source and was propagating dead nil-checks through SelectVariant,
DescribeVariants and the pin warning.

Selection behaviour is unchanged. The specs covering probe-derived sizing,
ranking, filtering, the unknown-size path, pin recall, entry/variant
metadata split and deep-copy isolation all survive; the three install specs
that needed a definite size now declare it through the referenced entry's
own size:, which exercises the documented escape hatch directly.

gallery/index.yaml is untouched: no entry ever carried the key.

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

* fix(gallery): rank the entry's own build against its variants

Variant selection pulled the declaring entry's own payload, the base, out
of the candidate set and consulted it only once every declared variant had
been rejected. Two real failures followed.

A variant whose size the probe cannot determine deliberately survives the
memory filter, because nothing proves it does not fit. As the only survivor
it then won outright on any host, however small: a 2GiB machine installed an
unmeasured variant in preference to the 4GiB build the entry itself ships,
with no warning. 241 of the 1280 current index entries carry no files and no
size, which is exactly that shape.

"Largest wins" also broke whenever the base was the largest. An author
writing a Q8 entry that offers a Q4 downgrade for small hosts, a natural
shape that nothing in the lint, schema or docs discourages, had the Q4
installed on every large host instead.

Make the base an ordinary participant. It is still exempt from both filters,
so selection always terminates on something installable, but it is now
ranked against the variants: a proven fit first and largest, then the base,
then any variant whose size nothing could measure. Both failures disappear
together. The base is probed for its size accordingly, which it was not
before, because an unsized base would lose every contest to an unmeasurable
variant.

FellBackToBase is kept but narrowed to "no declared variant survived",
rather than "the base was chosen", since the base now also wins on merit and
that is not worth warning about.

A recalled variant pin also became a permanent install failure. A pin the
caller supplies on this request must stay fatal, but one recalled from
._gallery_<name>.yaml can be invalidated by any later gallery edit, and
failing on it turned one rename into a model that could never be reinstalled
or upgraded again short of deleting a dotfile the user has never heard of.
A stale recalled pin is now dropped with a warning naming it, and selection
runs as if it had never been recorded.

Also drop the last textual reference to two abandoned designs from the
DetectedCapability comment, correct the documented variants JSON example,
which showed a memory_bytes of 0 that omitempty makes impossible, and remove
an em dash from the install skill.

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

* fix(gallery): budget variant memory from RAM when a GPU reports no VRAM

Variant selection read its memory budget from VRAM whenever a GPU
capability was detected, and from system RAM only when none was. Apple
Silicon satisfies the first branch and fails the premise: arm64 macs report
the metal capability unconditionally, without probing anything, while
TotalAvailableVRAM has no discrete VRAM pool to find and returns zero. The
budget therefore came out as zero on every Mac.

Zero drops every variant carrying a known size, so the base build was
installed on all of them however much memory the machine had. The feature
was inert on the platform, and silently: falling back to the base is a
legitimate outcome, so nothing looked wrong.

Take VRAM only when it is actually a number, and fall back to RAM
otherwise. On a unified-memory host RAM is not an approximation of the
budget, it is the budget, since the GPU shares it. A discrete GPU whose
VRAM could not be read also lands on RAM, which overstates what the card
holds but understates nothing the host has; the previous zero understated
both.

An unreadable RAM figure still yields zero and still installs the base, so
a genuinely unknown host is not talked into a larger download.

This is what turned tests-apple red: "installs a fitting variant's payload
under the entry's own name" asserts on selection, and the runner resolved
to the base because its budget was zero. The added specs pin the branch
directly rather than relying on a macOS runner to notice again.

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

* feat(ui): add a model variant picker to the models gallery

PR #10943 shipped the server side: a gallery entry may declare `variants:`,
`GET /api/models` attaches `variants` and `auto_variant` to declaring
entries, and `POST /api/models/install/:id` accepts a `variant` query
parameter. Nothing in the UI consumed any of it, so the feature was not
reachable from the browser. This wires it up.

modelsApi.install takes an optional second argument and appends an encoded
`?variant=` only when one is given, so every existing call site keeps
sending exactly the request it sent before.

On the models table, an entry that declares variants gets a split button.
The primary Install still installs the auto-selected build, because auto is
the default and the point of the feature; the chevron opens a menu for a
deliberate override. It follows the Backends.jsx precedent: one shared
Popover re-anchored per row, rendering .action-menu items, which brings
Escape, outside-click and focus return along with it. An entry that
declares no variants renders exactly as it did before.

A variant that does not fit is dimmed but stays selectable, since the server
honors an explicit choice with a warning rather than refusing it.

memory_bytes is omitempty on the wire, so an absent key means the size is
unknown and never zero. A single helper guards both the menu and the detail
row, because formatBytes would otherwise render a falsy value as "0 B",
which reads as "needs nothing".

The expanded detail row gains a Variants section listing each build's
backend, size, whether it fits, which is the entry's own build, and which
one auto-selection would pick, built from the existing DetailRow helper and
.badge classes.

Eight Playwright specs cover the picker, including that plain Install sends
no variant parameter and that choosing one sends it. One pre-existing
assertion was scoped with .first(): the Variants section legitimately adds
more llama-cpp badges to the detail row, which tripped strict mode.

UI line coverage 49.42% -> 49.36% against a 40.0 baseline and 0.8pp
tolerance; branch coverage rose 72.04% -> 72.66%.

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

* fix(gallery): describe model variants from a companion endpoint

Variant description probes each referenced entry's weight files over the
network: an HTTP HEAD plus a ranged GET, serial, five seconds per probe
with no aggregate deadline. Running it inline in GET /api/models made one
listing cost (entries x variants) round trips. The Manage page fetches
with items=9999, so at 200 declaring entries that is ~1000 serial probes,
minutes of a blocked handler and gigabytes of range traffic for a single
page load. Only one entry declares variants today, but the feature exists
so that many will.

Follow the precedent already set for VRAM estimates. The listing now
reports only has_variants, a length check on loaded metadata that touches
nothing, and GET /api/models/variants/:id returns the description for one
entry, mirroring estimate/:id in route shape, auth and error handling.
DescribeVariants itself is unchanged; only its caller moved.

The picker fetches lazily at the two points where a user asks to see
variants, opening the split-button menu and expanding the detail row, and
caches per entry for the page session. An entry declaring no variants
issues no request at all.

A spec counts real HTTP hits on the weight files, so it goes red if
description becomes reachable from the listing path again through any
caller.

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

* feat(ui): filter the model gallery to entries that declare variants

The gallery is heading towards showing parent entries and hiding the
individual builds they reference, so a user sees one row per model
rather than six quantizations of it.

Adoption is a single entry today, so defaulting to that would leave a
one-row gallery. This ships the migration-phase inverse instead: the
default is untouched, and a toggle narrows the list to only the entries
that declare variants. It previews the end state and changes nothing
until someone asks for it.

The filter is server-side, next to term/tag/backend/capability and above
the pagination arithmetic. The listing paginates at 9 items, so
narrowing on the client would leave totalPages and availableModels
describing the unfiltered set and hand the user empty pages. It selects
on HasVariants(), which reads already-loaded metadata, so it issues no
variant probes.

The parameter is named has_variants after the listing field it selects
on, and is compared against "true" like the other boolean query params
(all_users, save_checkpoint), so has_variants=false reads as absent.
With it omitted the response is byte-for-byte what it was before.

The control is the shared Toggle component, matching the fitsFilter
toggle already on this page: same wrapper class, same icon and label
shape, same localStorage persistence. Unlike fitsFilter it resets to
page 1 on change, which a server-side filter has to do.

Stacking the toggle with a tag or backend filter easily yields nothing
while one entry declares variants, so the empty state now names the
variants filter as the cause rather than leaving a user to conclude the
gallery is broken.

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

* fix(ui): render gallery model descriptions as Markdown

Gallery descriptions are Markdown, but the React UI dumped them raw, so a
model whose description opens with an ATX heading showed a literal
"# Qwen3.6-27B [](https://chat.qwen.ai)" in the list.

Full-description areas now render through renderMarkdown (marked +
DOMPurify), matching how Backends.jsx and the Manage detail panels already
handle the same content:

  - Models.jsx expanded detail row
  - VoiceLibrary.jsx voice detail header

The truncated one-line previews must not render block Markdown: a leading
"#" would become an <h1> and wreck the row height and rhythm. They get a new
stripMarkdown() helper instead, which reduces Markdown to a single line of
readable plain text. It is used for the cell text and for the title tooltip,
since a tooltip full of "[](url)" is no better than a cell full of it:

  - Models.jsx gallery table description cell
  - Manage.jsx model and backend resource-row descriptions

stripMarkdown walks marked's lexer output rather than running regexes over
the source, so what it strips is by construction what renderMarkdown would
have rendered, and it needs no new dependency. Output lands in JSX text
nodes, so React escapes it; no new dangerouslySetInnerHTML beyond the two
full-description sites, both of which run DOMPurify.

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

* fix(ui): strip Markdown from the backends table description cell

Commit b35d630cf fixed this for gallery models but left the Backends admin
page with the same asymmetry: its detail panel renders the description
through renderMarkdown, while the collapsed table row dumped the raw gallery
string into both the cell body and the title tooltip.

That is user-visible. 40 of the 949 entries in backend/index.yaml carry
Markdown - insightface uses inline code backticks, others use lists and
links - and backend descriptions also contain embedded newlines, so the
one-line cell showed literal syntax.

The cell now runs stripMarkdown over the description once and uses the
result for the text and the title, matching Models.jsx and the
ResourceRowDesc component in Manage.jsx. The '-' placeholder is preserved,
and now also fires when a description reduces to nothing after stripping.
The detail panel is untouched and no new dangerouslySetInnerHTML is
introduced: stripMarkdown output lands in a JSX text node, so React escapes
it.

Three Playwright specs cover it: a description with a heading, inline code
and a link renders as clean text with no literal syntax and no block
element in the cell, the title tooltip carries the same stripped text, and
a backend without a description still shows the placeholder.

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

* ui(models): polish the variant detail view and scope rendered Markdown

The gallery detail pane rendered every field through the same two-column
label/value row, including the description. Multi-paragraph prose in a value
cell ran eight rows tall at the top of the pane on a ~1200px measure, breaking
the grid's rhythm exactly where the eye enters. Move it into its own full-width
block above the table, capped at a 68ch measure, keeping the label.

Rendered Markdown had no scoped typography anywhere in the app, so a
description opening with `#` inherited the browser default 2em inside a 13px
surface while a `##` further down was indistinguishable from body text. Add a
reusable .markdown-body block mapping h1-h6, paragraphs, lists, links, code,
blockquotes, images and tables onto the existing type scale, and apply it to
every renderMarkdown() consumer: the models detail, the backends detail, both
Manage details and the voice library detail.

Rebalance the variants list so the name leads. Backend and size drop from
badge/secondary weight to muted metadata; the FITS badge goes entirely, since
it was true of nearly every row and so said nothing, while the variant that
does not fit keeps a warning badge and a dimmed name. AUTO-SELECTED stays
marked because it answers what a plain Install produces. Rows share the
parent's grid tracks via subgrid so name, backend, size and status line up
down the list instead of raggedly following name length.

Finally, make each variant row actionable. It looked like a list of choices
but was inert text, with per-variant install hidden behind the split-button
chevron elsewhere; each row is now a button onto the existing
handleInstall(modelId, variant) path, with hover, keyboard focus and a
disabled state while an install is in flight.

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

* feat(gallery): collapse the listing to one row per model

The listing supported has_variants=true, which narrowed to entries that
DECLARE variants. With adoption at three entries that showed three rows,
which is useless; it was always a placeholder.

Replace it with the view that is actually useful: the deduplicated
gallery. Show every entry installable in its own right and nothing twice,
which means the parents plus every entry nobody references, and hide only
the builds another entry already offers as a variant, since those are
reachable through their parent.

The parameter is renamed to collapse_variants accordingly: the filter is
no longer a predicate on a row's own metadata but a view over the whole
gallery. Default stays off, so the response with the parameter absent is
unchanged.

VariantReferencedIDs never reports an entry that declares variants of its
own, so parents are always visible. That guarantees every hidden entry
has a visible entry offering it, and no chain can strand a row. Variant
resolution already refuses to install such a reference, but the listing
has to stay coherent in the presence of a gallery that has one rather
than silently swallowing entries. Self-references and dangling references
hide nothing.

The referenced set is computed over the whole gallery rather than over
what the other filters left, so an entry is hidden because a parent
offers it and never because of what the user searched for. The pass is
over metadata already in memory: it resolves nothing over the network and
triggers no variant description or size probe, so the listing's zero-probe
contract still holds.

The UI toggle keeps its behaviour (persistence, page reset, clear
filters) and becomes "One row per model", which says what the user gets.
Its localStorage key moves too, since the stored value meant a different
filter.

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

* feat(ui): show the collapsed model listing by default

The gallery listing is what a user reaches for to answer "what can I
install". Answering that with several rows for the same model, one per
build, makes the reader do the deduplication the collapsed view already
does, so the collapsed view is the one to land on.

The UI now asks for collapse_variants=true unless the toggle says
otherwise. The server default is deliberately untouched: a request with
the parameter absent still returns the full listing, because other API
clients depend on that response and collapsing it under them would be a
breaking change. Opting out omits the parameter rather than sending
false, so it asks for exactly the listing everyone else gets.

The stored preference changes vocabulary from '1'/'0' to 'on'/'off'. The
previous build wrote it from an effect that runs on mount, so a stored
'0' recorded that the page had been opened rather than that anyone chose
the expanded view, and honouring it would pin every earlier visitor to a
default they never picked. Only the new vocabulary counts as a choice;
a legacy '1' meant the collapsed view and is what the new default gives
anyway, so no earlier deliberate choice is lost.

Collapsing being the default also changes what the empty state may say
about it. An opted-into filter can be named as the cause of an empty
result; a default cannot, so the filters keep the top line and the
collapsed view drops to a hint below it, shown only once filters are
narrowing the set. For the same reason "Clear filters" now restores the
collapsed default instead of switching it off, and the toggle alone no
longer counts as a filter worth offering to clear.

The label stays "One row per model": it describes the view the user is
looking at rather than an action, so it reads the same whether it is
opted into or out of.

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

* gallery: group alternative builds of the same weights under variants

Sweep the gallery for entries that are alternative builds of the same
weights (different quantization, precision, or runtime format) and declare
them as variants of a single parent row, so the listing offers one row per
model instead of one row per quantization and the installer picks the
largest build that this host can actually run.

41 families over 95 entries, turning 54 entries into variants.

The parent is the bare-named entry wherever one exists, so nothing changes
about what any existing entry installs. Ranking already selects the largest
fitting build regardless of which entry is nominally the parent, so the
parent only decides the pathological case where nothing fits. For the ten
families that have no bare-named entry, the smallest build is the parent,
since that is the one that has to install when nothing fits.

Grouping was verified against the actual model filenames rather than the
entry names alone. Different parameter sizes, languages, finetunes, and
products that merely share a name prefix are left as separate rows: the
qwen3.6 APEX and pi-tune finetunes, the DFlash and MTP speculative-decoding
pairings, English-only versus multilingual Whisper, the QAT versus non-QAT
Gemma 4 weights, and the abliterated FLUX build are all distinct models.

Six parents define YAML anchors that other entries pull in with a merge key,
which would have handed their variants to every merging child. For the two
depth-anything anchors that would have made fourteen unrelated entries
advertise the base model's builds as their own. All 26 merging children
therefore carry an explicit empty variants list, which overrides the merged
key and is equivalent to the key being absent.

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

* feat(gallery): rank model variants by host backend preference

Variant auto-selection filtered candidates by whether their backend can
run on the host, then ranked the survivors by size alone. The backend
never influenced the choice beyond that gate, so a Mac offered both an
MLX build and a llama.cpp build kept neither filtered and installed
whichever was larger, leaving the native accelerated runtime unused. The
same held for CUDA against CPU on NVIDIA and ROCm against Vulkan on AMD.

Rank by the host's backend preference between the fit tier and size: fit
stays a filter, preference decides among the builds the host can equally
hold, and size still separates builds on equally preferred runtimes.

The preference data stays in one declarative table in pkg/system, now
read by a prefix lookup instead of a switch, so adding a capability or
reordering one host's runtimes is a one-line edit and the gallery's
ranking code carries no per-backend branching. MLX joins the metal rule
ahead of metal itself, which is inert for the existing alias-resolution
consumer because no alias group holds a candidate named for mlx.

An unrecognised backend, an unrecognised capability and an absent
preference list all collapse to the previous size-only ordering rather
than erroring or dropping candidates.

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

* fix(gallery): rank variants by engine name, not backend build tag

Variant auto-selection ranked candidates with
SystemState.BackendPreferenceTokens, but that function and the variant
ranker speak different vocabularies.

BackendPreferenceTokens returns BUILD TAGS ("cuda", "rocm", "sycl",
"vulkan", "metal", "cpu"). It exists to match installed backend build
directory names like "llama-cpp-cuda-12" during alias resolution in
ListSystemBackends. Variant ranking instead matches a gallery entry's
`backend:` value, which is an ENGINE NAME: "llama-cpp", "vllm",
"vllm-omni", "sglang", "mlx" and the rest. No engine name in
gallery/index.yaml contains "cuda", "rocm", "sycl" or "vulkan".

preferenceRank matches by substring, so on an NVIDIA host the tokens
[cuda, vulkan, cpu] matched neither "llama-cpp" nor "vllm", every
candidate scored identically and size alone decided. The NVIDIA, AMD,
Intel, darwin-x86 and vulkan rules were all inert. Only metal appeared
to work, and only because the token "mlx" happens to equal an engine
name. The mismatch does not error, it silently deletes the feature.

Separate the two vocabularies. backendBuildTagPreferenceRules keeps the
build tags and its original output for every capability, including
metal, whose "mlx" token is removed again; its alias-resolution consumer
is byte-identical to before. engineNamePreferenceRules is new, holds
engine names, and is read by the new EnginePreferenceTokens, which
HostResolveEnv wires into the renamed ResolveEnv.EnginePreference. Both
tables sit adjacent under one block comment naming each vocabulary and
each consumer, and share one lookup helper so their semantics cannot
drift.

On NVIDIA the order is vLLM, then SGLang, then llama-cpp: vLLM is the
throughput engine and a model published with a vLLM build is published
that way because that build is the one worth running. AMD and Intel get
the same order, since rocm and intel builds of both serving engines
ship. Metal prefers mlx over llama-cpp. Vulkan prefers llama-cpp, the
only LLM engine with a Vulkan build. darwin-x86 and unknown
capabilities are deliberately absent rather than guessed at, degrading
to the size-only ordering that predates preference.

preferenceRank stays generic and names no engine and no capability, so
adding a runtime remains a one-line table edit.

Specs pin the NVIDIA and metal rules through the live table and the real
HostResolveEnv wiring, so emptying the engine table or wiring the build
tag source back in both go red. A regression table asserts
BackendPreferenceTokens' original output per capability, and mirrored
locks assert neither table carries the other's vocabulary.

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

* docs: record that variant selection ranks by engine before size

A gallery entry can now declare variants, and selection ranks the builds a
host can run by engine preference before size. Nothing told a contributor
adding a backend that engineNamePreferenceRules exists, so a new engine would
silently rank below every known one and lose to whatever build happened to be
larger on hosts where it should have won.

Document the step where a backend is added, warn against the sibling
backendBuildTagPreferenceRules table (build tags, not engine names: the wrong
table matches nothing, scores every candidate equally and disables the
preference without erroring), and index it from AGENTS.md.

Fix the authoring and user docs, which still claimed the largest surviving
build wins. An author grouping builds under one entry has to be able to
predict what a user gets, and size alone no longer decides it.

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

* fix(cli,mcp): describe variant auto-selection as preference before size

The CLI flag help and the install_model tool schema both still said
auto-selection takes the largest build that runs. Ranking now puts engine
preference ahead of size, so on NVIDIA a vLLM build wins over a larger
llama.cpp one. An assistant reading the old schema would tell users the
wrong thing.

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

* fix(gallery): prefer llama.cpp over GPU serving engines on hosts with no GPU

engineNamePreferenceRules had no row for the "default" capability, which
getSystemCapabilities() returns both when no GPU is detected and when a GPU
is present but under the 4 GiB VRAM floor. A missing row yields an empty
preference list, which preferenceRank reads as "score everything equally",
collapsing variant selection to size alone.

That would be harmless if the hardware filter dropped GPU serving engines on
such a host, but it does not. IsBackendCompatible derives support from the
engine NAME, and "vllm" and "sglang" contain none of the darwin, cuda, rocm
or sycl tokens it keys on, so they fall through to its closing "return true".
A vLLM variant therefore survives on a CPU-only box and wins whenever its
build is the larger of the two on offer: the machine installs vLLM in
preference to llama.cpp.

darwin-x86 had the identical hole. It was documented as a deliberate omission
because nothing accelerates on an Intel Mac, which is true about acceleration
and wrong about consequence: with every engine tied, download size decides.

Add rows for both putting llama-cpp first. The GPU engines are enumerated
behind it rather than left unmatched: an unmatched engine already ranks below
every listed one, so llama.cpp would win either way, but unmatched engines
also tie with each other and let size decide among them. Naming them fixes
that order. MLX is left off the darwin-x86 row on purpose so it ranks last,
since IsBackendCompatible admits darwin-tokened engines on that capability
even though MLX needs Apple silicon.

Preference orders survivors and never filters, so a model published only as a
vLLM build is still installed on a host with no GPU; there is a spec for it.

Surveyed every other value getSystemCapabilities() can return. nvidia, amd,
intel and vulkan have rows; the l4t and cuda-refined values reach the nvidia
row by prefix; "apple" and "" cannot reach the vendor fallthrough because the
darwin and no-GPU branches return earlier. default and darwin-x86 were the
only live holes.

BackendPreferenceTokens and its build-tag table are untouched, and
preferenceRank stays generic, naming no engine and no capability.

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

* gallery: prefer speculative-decoding builds when they fit

Rank serving features between engine preference and size, so a host that can
hold a DFlash or MTP build of a model's weights installs it instead of the
plain build. Both answer faster for the same output, so whenever one survives
the filters there is no reason to take the plain build.

Precedence is now fit, then engine, then serving feature, then size. Engine
outranks the feature deliberately: a serving feature makes the right engine
faster, it does not make a wrong engine right, so a plain vLLM build still
beats a DFlash llama.cpp build on NVIDIA. Fit outranks both, and a drafter
pairing is strictly larger than the plain build, so the existing size filter
drops it on a host too small for it before this axis is consulted.

The order lives in a third preference table in pkg/system, alongside the build
tag and engine name tables. It is the odd one of the three: not keyed by
capability, because no hardware prefers a plain build over an equivalent
faster one, and matched against whole segments of a gallery ENTRY NAME rather
than as a substring of a backend value. Nothing on a gallery entry declares a
serving feature, and tags are not a usable substitute: gemma-4-e2b-it:sglang-mtp
carries an mtp tag while ornith-1.0-9b-mtp and qwen3.6-27b-nvfp4-mtp carry
none. Entry names are author-supplied free text, unlike the closed engine
vocabulary, so a short marker can turn up inside an unrelated word and whole
segment matching is what keeps smtp-assistant from ranking as an MTP build.
The block comment over the tables now documents all three together and states
what each is matched against; the ranking code names no feature, so adding one
stays a one-line edit to the table.

29c49203b rejected these entries as serving configurations rather than
alternative builds of the same weights. The definition is now "alternative ways
to serve the same model", which includes them, so regroup 14 entries under 12
parents. Judged by the files each entry points at: the qwen3.6, qwen3.5, qwen3
and deepseek pairings are the base GGUF plus a drafter, the gemma-4 QAT MTP
entries are the same QAT weights at a different quantization plus an MTP
drafter, and the two sglang MTP entries describe themselves as the same model
served with speculative decoding. Left separate: qwen3.6-27b-mtp-pi-tune, a
finetune with its own weights, and every entry whose base model LocalAI does
not ship as its own row, which is the whole Qwopus line plus gemmable-4-12b-mtp,
mimo-7b-mtp:sglang and qwen3.5-4b-dflash.

None of the twelve parents defines a YAML anchor, so no variants key can leak
through a merge key and no empty override was needed this time. The index was
edited by line insertion only.

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

* test: check env restore errors in capability and variant specs

errcheck flagged ten unchecked os.Setenv and os.Unsetenv returns in the
specs added while the pre-commit hook was being skipped. Restoring an env
var is exactly the place a silent failure leaks state into the next spec,
so assert on it rather than suppressing the linter.

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

* feat(gallery): make the mtp tag authoritative for serving-feature ranking

Variant auto-selection ranks survivors by fit, then engine, then serving
feature, then size. The serving-feature lookup read only whole alphanumeric
segments of a variant's entry name, because tags were inconsistent: every
dflash entry carried a dflash tag, but only 7 of 20 MTP entries carried an
mtp tag.

Tag the 13 untagged MTP entries, then teach the lookup to read tags as well
as names. A tag is now the authoritative signal and is compared whole and
case-insensitively, which is safe precisely because a tag is a deliberate
declaration rather than free text: there is no word-inside-a-word failure
mode, so the segment splitting the name half needs is unnecessary there.

The name check stays as a fallback rather than being replaced. Switching to
tags only would have regressed the six already-grouped entries on the day it
shipped, and would depend on tagging discipline that does not exist yet.

The lookup still names no feature, so adding one remains a one-line edit to
servingFeaturePreferenceTokens.

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

* feat(gallery): make a declared tag the sole serving-feature signal

Variant auto-selection ranks survivors by fit, then engine, then serving
feature, then size. The serving-feature lookup recognised a speculative build
by either a declared tag or a whole segment of its entry name. Drop the name
half: a tag is now the only signal.

A name is author-supplied free text and a naming convention is not a contract,
so reading a marker out of one infers a capability nobody declared. The gallery
already had the failure in it: the four NVFP4 entries name MTP-bearing weights
while setting no option that enables speculative decoding, and being live
variants they were winning the feature axis without answering any faster.

overrides.options was considered as the replacement and rejected. It carries
spec_type:draft-mtp / spec_type:draft-dflash, which is what actually turns the
feature on, but that spelling is llama.cpp's config vocabulary: ds4 spells the
same feature mtp_path and sglang spells it speculative_algorithm in a
referenced config. Keying a cross-backend ranking decision on one backend's
option syntax would rank the other backends' builds as plain. Options are the
curation-time check instead, and never reach the selection logic.

With no fallback left, tag correctness is load bearing, so audit every entry
against the rule "tagged when the entry configures that feature, in whatever
vocabulary its backend uses". Three entries configure MTP untagged and gain the
tag (hy3, glm-5.2, qwythos-9b-claude-mythos-5-1m, all spec_type:draft-mtp with
no marker in their names). Four carry the tag while configuring nothing and
lose it: qwen3.6-27b-nvfp4-mtp, qwen3.6-35b-a3b-nvfp4-mtp,
qwopus3.6-27b-coder-mtp-nvfp4 and qwopus3.6-27b-v2-mtp-nvfp4, whose only option
is use_jinja:true. The dflash side was checked independently rather than assumed
consistent: all five dflash entries declare spec_type:draft-dflash and all five
are tagged, so it needed no edits.

Four entries keep a tag that a literal spec_type-only reading would strip,
because they configure MTP through a different backend: deepseek-v4-flash-q2-mtp
via ds4's mtp_path/mtp_draft, and the three sglang entries via
speculative_algorithm in their referenced configs. Stripping those would
contradict the reason spec_type was rejected as the signal and would demote four
genuinely faster builds to plain.

The index was edited by line insertion and deletion only, never round-tripped
through a serializer. A resolved-tag diff across all 1272 named entries, taken
after merge keys are applied, shows exactly these 7 changing and no entry
gaining or losing a tag through an anchor.

The two specs that pinned the name fallback are inverted rather than deleted,
since a name silently promoting a build is the regression worth guarding. The
whole-token guard survives on the tag path, where smtp must still not match mtp.

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

* fix(gallery): make deepseek-v4-flash variant targets installable

Clicking install on deepseek-v4-flash failed with "invalid gallery model".
The parent entry is fine, but all four entries it was grouped with declared
neither url: nor config_file:, and applyModel needs one of the two to have
anything to build a config from. They carry urls: (plural), the informational
HuggingFace link list, which is a different field. None of the four was ever
independently installable, so grouping them routed a previously-working
install into a broken entry.

Give each the url: the parent already resolves through. virtual.yaml is a
no-op base, and applyModel passes overrides to InstallModel separately from
the fetched config, so backend: ds4, the parameters and the ssd/mtp options
all still land exactly as authored. This is the same pattern the parent and
many other GGUF entries in the index already use.

Add the lint rule that should have caught this. checkVariantReferences only
proved a target exists and is not itself a parent, which is structural
validity: an entry can exist, declare no variants, and still be
uninstallable. checkVariantTargetsInstallable mirrors applyModel's
precondition instead, and names the parent, the target and the missing
fields, because whoever hits it is reading a gallery entry and has no reason
to know applyModel exists.

The two index-driven resolution specs live in their own Ordered container:
an Ordered container stops at its first failure, so sharing one with the lint
rules let a lint breach skip them silently.

Nine further entries gallery-wide have the same defect and are unrelated to
variants, so they are broken installs that predate this branch. They are left
alone here rather than buried in a regression fix, and widening the rule to
cover every entry is deferred with them so the gate can ratchet up in one
step instead of needing a skip list.

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

* fix(gallery): install entries with no url or config_file on an empty base

applyModel had three branches: fetch a base config from url:, build one from
an inline config_file:, or fail with "invalid gallery model". An entry
declaring neither is now installed on an empty base config, with overrides:
and files: supplying everything.

This is what the ~345 entries pointing at gallery/virtual.yaml were already
getting. That stub is five lines carrying name, description and license.
description and license are overwritten from the gallery entry immediately
after the fetch, and the name never reaches disk because InstallModel prefers
the install name. Crucially applyModel passes model.Overrides to InstallModel
as a separate argument rather than merging it into the fetched config, so
nothing an author writes depends on that base existing. The fetch bought a
round trip to GitHub and nothing else.

That makes f4ef80173 the wrong fix, so it is unwound. The four url: lines it
added to the deepseek-v4-flash variants are reverted: they are a pointless
network fetch now, and the family installs without them.

Relaxing the branch would hide a real authoring mistake, so a payload rule
replaces the base-config rule. An entry with no url, no config_file, no
overrides and no files installs nothing and would leave an empty model
directory while reporting success, so it is refused by name. The caller's
request counts toward the payload, because its overrides and files are merged
into the install exactly as the entry's own are. urls: (plural) is the
informational link list and does not count, which is what the four entries
that shipped broken had and why they were still uninstallable.

checkVariantTargetsInstallable asserted every variant target declares a url:
or a config_file:, which is no longer true and would now reject correct
authoring. checkEntriesInstallSomething pins what survives instead, and covers
every entry rather than only variant targets: the hazard is a half-written
stanza and a parent can be one as easily as a target. The old rule was scoped
to targets precisely because nine unrelated entries would have failed a
gallery-wide version; those nine are valid now, so the deferred ratchet
happens here in one step. 1280 entries, zero violations.

Those nine (aurore-reveil_koto-small-7b-it, lfm2-1.2b, the six liquidai_lfm2
entries and deepseek-v4-pro-q2-ssd) become installable for free. Each carries
overrides: and files:, and one of them is driven through the real install path
in a spec.

The no-fetch spec is paired rather than bare: an assertion that nothing was
fetched proves nothing unless something could have been, so a control runs the
same fixture with a url: pointing at a base config that is not there and
asserts the install fails. Only then does the identical fixture without the
url passing mean the read was skipped.

Follow-up, deliberately not here: the ~345 entries still naming virtual.yaml
can drop their url:. That is 345 index edits with their own risk, and mixing
them in would bury this change.

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

* ui(models): let search bypass the variant collapse, drop the toggle

The models page collapsed the gallery to one row per model by default and
offered a toggle to see every individual build. Because the collapse composed
with the search term, a build another entry offers as a variant could not be
found by typing its name, so the toggle was the only way to reach those builds
in the UI. A user who typed a name they knew existed got "no models found",
which reads as "that model does not exist".

Collapse is for browsing; search is for finding. An explicit search term now
bypasses the collapse in the listing handler, so a name lookup returns matching
entries whether or not a parent offers them. The term is trimmed once at the
top of the handler, so whitespace is neither a search nor a bypass; previously
an untrimmed blank term also narrowed the listing to whatever contained a
space. Tag and backend deliberately do not bypass: they refine a listing the
user is still reading rather than name an entry already known to exist.

That makes the toggle redundant, so it goes, along with its i18n strings in all
six locales, its localStorage persistence, its participation in "Clear filters"
and the empty-state hint telling users to turn it off. The hint was doubly
stale: it pointed at a control that no longer exists, and it was untrue exactly
when a user has a search term, since searching now sees every build. The page
always requests the collapsed listing.

The stored preference key is left inert rather than cleaned up: nothing reads
it, so a user who had the toggle off simply gets the collapsed view.

collapse_variants stays on the API, off by default, because other clients want
either view and the UI dropping its control is no reason to remove a working
parameter.

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

* feat(ui): give the models gallery filter form a deliberate structure

The filter area had accreted controls into one undifferentiated flow. The
"Fits in GPU" toggle and the backend select were direct children of
.filter-bar, the same wrapping container as the 18 taxonomy chips, so their
position was decided by how many chips happened to wrap at the current width
rather than by any layout intent. At narrow widths they were pushed past the
right edge of that container's horizontal scroll and became unreachable
entirely.

Restructure into three bands inside the house .filter-bar-group wrapper that
components/FilterBar.jsx already uses on Backends and the System tabs:

  1. query scope: search plus the backend select
  2. taxonomy: the chip row, alone, free to wrap
  3. refinements: fits-in-GPU and context size, under a hairline rule

The backend select leads the chips rather than trailing them because picking a
backend disables the use cases that backend cannot serve, so it gates the row
below it. Fits-in-GPU and context size share a band because they are one
control group: the context size is the length the VRAM estimate is computed at,
and that estimate is what the fits filter tests against.

Chips had no visible keyboard focus indicator. The global focus ring is wrapped
in :where(), so it carries the specificity of a bare :focus-visible, ties with
.filter-btn and loses on source order, leaving focused chips showing their
resting drop shadow. Restate the ring where it outranks both resting and hover.

Also: aria-pressed on the chips, a real label association and aria-valuetext on
the context slider (it steps over an index, so it announced "2"), disabled chip
styling moved off inline styles, a prefers-reduced-motion block for the chip
transition, and the hard-coded English "Context:" moved into all seven locales.

No behaviour change: same filters, same state, same requests. Page reset on
change, localStorage persistence and "Clear filters" verified unchanged.

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

* feat(ui): let the models recommendations panel fade into the background

The "Recommended for your hardware" strip rendered at full height on every
visit regardless of how many models were already installed, costing 186px at
1600px wide (287px at 1100px, where its cards wrapped to two rows) and pushing
the first gallery row to y=554 / y=703.

Make its prominence track how much the user still needs it. The panel now
defaults to a one-line summary once anything is installed, and both the
collapse choice and the existing dismissal persist:

  collapsed = explicit user choice, if one exists
            : installedCount > 0

The preference is three-valued on purpose. A boolean cannot tell "the user
expanded it" apart from "the user has never chosen", and those need opposite
handling when the installed count later crosses zero: someone who deliberately
opened the panel on an empty instance should not have it collapse out from
under them when their first model finishes installing.

Collapsed keeps the card, icon, title and a suggestion count, so the panel is
recovered by clicking what you are already looking at rather than by hunting.
Expanded is unchanged, because for a user with nothing installed it was never
the problem. Collapsed reclaims 145px at 1600 and 420, and 246px at 1100.

Models.jsx gains a statsLoaded flag: stats initializes to installed:0, so
reading it before the fetch resolves would render expanded and collapse a frame
later, which is exactly the layout shove this removes.

The dismissal key moves to the page's localai-models-* convention; the old
localai_rec_models_dismissed is still read, never written, so an existing
dismissal is honoured rather than resurrected by the rename.

Accessibility: the disclosure is a real button whose accessible name is the
visible title alone, with state on aria-expanded and aria-controls resolving in
both states, because the grid is hidden via the hidden attribute rather than
unmounted. That also keeps the four install buttons out of the tab order while
collapsed. The app's global focus ring applies; no per-component outline is
added, per the warning in App.css. Reveal animates opacity and transform only,
never height, and both it and the chevron rotation are disabled under
prefers-reduced-motion.

Only en had a recommended block, so the other six locales were falling back to
English for the whole panel. Translated the complete block rather than adding
one orphaned key to files that would still render the title in English.

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

* fix(downloader): recover from a leftover .partial on non-HTTP URIs

An interrupted download leaves a `<file>.partial` behind. The partial
handling in DownloadFileWithContext gated resume on `err == nil &&
uri.LooksLikeHTTPURL()`, so for any URI that is not literally http(s)
the branch fell through to `else if !errors.Is(err, os.ErrNotExist)`,
which with a nil err is true. The download then failed with an error
wrapping nil:

  failed to check file ".../Ternary-Bonsai-27B-Q2_g64.gguf" existence: <nil>

Every gallery file URI uses `huggingface://`, so a single interrupted
download made that model permanently uninstallable until someone
deleted the partial by hand. The `<nil>` in the message compounded it
by pointing debugging at a filesystem failure that never happened.

Restructure the handling as an explicit switch over the four real
states: partial exists and is resumable, partial exists and is not
resumable (discard and restart, as already done for an HTTP server
without range support), no partial, and a genuine stat failure. The
error branch is now only reachable with a non-nil error, names the
path that was actually stat'd, and wraps with %w.

Discarding is required for correctness and not merely convenience: the
writer opens the partial with O_APPEND, so an un-resumed download would
concatenate a fresh body onto stale bytes.

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

* feat(ui): tell the models gallery's variant rows apart, and let browsing see every build

Both variant surfaces rendered name, backend and size. For two builds of one
model that is close to no information: a variant exists precisely because the
same weights are offered another way, so the backend usually matches and the
sizes usually land within a few hundred megabytes. Comparing
ternary-bonsai-27b-pq2 against ternary-bonsai-27b-q2-g64 meant reading two names
that differ by a suffix nobody has defined anywhere in the UI.

Report the quantization and the serving features on VariantView, and derive both
server-side from the referenced entry rather than parsing names in the browser,
so every client reads the same format out of the same file the installer will
hand the backend.

Quantization comes from overrides.parameters.model first, falling back to the
file list. That order is load bearing: entries routinely ship a vision tower
alongside the language model at a different quantization, so reading the file
list first reports the mmproj's format. Matching walks `-` and `.` delimited
segments right to left; `_` deliberately does not split, because it separates the
parts INSIDE a quant token and splitting on it reports Q4 for a Q4_K_M build. A
second, looser pass takes a segment's `_`-delimited tail, which catches the
gemma-4-E2B_q4_0-it.gguf style; it runs second so a precise match can never lose
to a fuzzy one further right in the name. An entry naming no format reports
nothing, which is the honest answer for a backend served from a directory of
weights.

Features are the same tag-against-vocabulary match servingFeatureRank already
ranks on, over the same host preference list. A build can therefore never be
shown as faster than one selection did not actually reward, nor rewarded without
being shown; a spec pins that agreement rather than trusting it.

The compact dropdown gets the quantization on its meta line and the bare feature
token. The detail row, which has the room, gets the quantization as its own
monospaced column so precision lines up down the list, and the feature spelled
out, because DFLASH names nothing to a user who has not met it. The referenced
entry's description stays out of both: the detail row already renders the
parent's prose above the table, and a second block per variant would push a
three-variant list past a screen to restate what the columns now say precisely.

The collapse toggle comes back. 462583f38 dropped it once search bypassed the
collapse, on the reasoning that nothing was unreachable any more. That holds for
finding a build whose name you know and does not hold for browsing: no sequence
of actions enumerated the 68 builds the default view hides. Collapse is for
browsing and search is for finding, and the toggle was the browsing half.

It goes in the refinements band 0d4823362 established, not back among the
taxonomy chips where its position depended on how many chips happened to wrap. It
leads that band because it decides how many rows the other two refine over, and
because unlike fits-in-GPU it is unconditional: a host with no GPU still browses.

The search bypass is untouched and re-checked by a spec in the toggle's default
state, since restoring the control must not restore the dead end it replaced. The
empty-state hint returns but only without a search term, because a term bypasses
the collapse and the hint would otherwise point at a control that cannot change
the result. The stored preference reads 'on'/'off' only: an older build wrote
'1'/'0' from an effect that ran on mount, so those record that the page was
opened, not that anyone chose a view.

Also fixes a latent flake it exposed. The collapse_variants spec compared whole
response bodies byte for byte, and the listing envelope carries live host
telemetry that drifts between two calls milliseconds apart, so it was asserting
on the machine's memory pressure. It now compares everything the parameter
governs -- the entries, their serialization and the paging -- and is green 25/25
where it was failing about one run in three.

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

* feat(ui): let the models gallery show a variant's full details

The variant list in an entry's expanded detail row says how the builds
differ: name, backend, quantization, size, and the auto-selected, base
and serving-feature markers. It cannot say what any one of them is. A
variant's own description, tags, license, source links and file list are
unreachable anywhere in the UI, because while the collapse is on a
variant has no gallery row of its own.

Give each variant row an info control that reveals its entry, rendered by
the same ModelDetail a top-level row gets, so a field added to the detail
view appears here too. variantData is withheld from the nested render: a
variant may declare variants of its own, and recursing would nest a
picker inside a picker two levels deep already.

An inline disclosure rather than a modal. The control sits inside a table
row that is already expanded, inside a variant list within that; a dialog
opened from there stacks a dismissal on a dismissal for a handful of
extra fields about the entry the user is already reading, and breaks the
page's own expand idiom. The third level is carried by an inset and a
left rule instead of another card.

The entry is fetched by exact name from the listing, once, on first use.
The listing already returns every field the detail view renders, and a
search term bypasses the variant collapse server-side, so no new endpoint
is needed and neither the listing nor DescribeVariants gains any work.
Expanding a row costs nothing; a variant nobody opens costs nothing. A
name the listing no longer returns is stated, not blanked: an empty panel
reads as a rendering fault rather than as a lookup that came back empty.

The control is a sibling of the install button, not a descendant, so
asking about a build can never install it.

The variant list keeps its content-sized columns via a trailing filler
track instead of max-content sizing, so the rows are unchanged while the
panel spanning them gets the pane width its file table needs.

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

* feat(gallery): let search respect the collapse instead of switching it off

The models listing collapsed to one row per model, and an explicit search term
turned that off wholesale. Searching while collapsed therefore answered with the
individual builds a parent already offers, which are exactly the rows the view
the user asked for has no place for: typing "mtp" returned
qwen3.6-27b-nvfp4-mtp, a row that is invisible the moment the box is cleared.
The bypass was the right shape of fix for the wrong half of the problem. What a
search must not do is answer "no models found" for a build the gallery does
hold; that does not require abandoning the grouping the user asked for.

So the term is now matched against every entry either way, hidden builds
included, and the collapse decides how a match is reported rather than which
matches exist. Collapsing stops being a filter that drops rows and becomes a
substitution: a match on a build another entry offers is reported as that entry,
the one installable in its own right. Nothing becomes unfindable and nothing
comes back that the requested view cannot show.

Substitution happens after search, tag and backend, so every filter is judged
against the build that really carries the name, tag or backend rather than
against a parent that merely offers it; the other order would let backend=vllm
match a parent whose own backend is something else. The price is that the
surfaced row shows the parent's own metadata while the match was on a variant,
which is what grouping means, and the alternative is claiming the gallery holds
no such build. It happens before the count and the page math, so both describe
the rows actually handed out rather than the matches that produced them.

A parent already in the result keeps its own position and absorbs its matching
variants there, which is what leaves the browsing listing ordered exactly as it
was; a parent surfaced only by a variant takes the position of the first variant
that surfaced it. Either way it appears once, however many of its builds matched
and whether or not it matched itself. Search preserves gallery order rather than
scoring, so a surfaced parent has a real position rather than an invented one.

VariantParents never reports an entry that declares variants of its own, so a
parent is never itself hidden and one hop always lands on a visible row. The
handler follows exactly one anyway: refusing the second is what makes a gallery
the linter would have rejected terminate rather than loop.

The empty-state hint pointing at the toggle goes with it for every server-side
filter. Substitution means a match is always reported as some row, so the
collapse can no longer be why a term, a chip or a backend came back empty, and
naming it there sends the user to a control that cannot change the result. It
survives for the fits filter alone, which runs in the browser after the
substitution and judges the surfaced entry's own size: there the build that fits
really can be filtered out along with a parent that does not.

Searching a build's exact name while collapsed now answers with its parent, so
the result no longer contains the string the user typed. That is intended, and
the row is the one they can act on, but it is a real rough edge: nothing on the
row explains the connection. Closing it properly means reporting which variant
matched so the UI can say so, which the listing does not do today.

ResetGalleryModelCache is added for tests. The model cache is a package global
keyed by nothing, so a background refresh one spec triggers can land in the
middle of the next and answer it with the previous spec's gallery; the extra
specs here made that fail about one run in five. It waits for the in-flight
refresh to publish before clearing, since clearing alone only narrows the
window.

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

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-20 18:43:02 +02:00
mudler's LocalAI [bot]
6e52d0c2ef fix(ci): rebuild backends when shared build inputs change (#10975)
The backend matrix path filter only matched files under a backend's own
directory, so a change to shared build infrastructure rebuilt nothing at
all: an empty matrix, every job green, and the change reaching no image.

PR #10946 fixed scripts/build/package-gpu-libs.sh shipping a partial
4-of-8 cuDNN library set, which mixed versions with the venv's pip cuDNN
and produced CUDNN_STATUS_SUBLIBRARY_VERSION_MISMATCH at inference time.
It merged 1h48m after the weekly full-matrix cron had already run, so no
backend image ever received the fix and nothing signalled that it had
been un-shipped.

Add a SHARED_BUILD_INPUTS table mapping each shared path to the narrowest
set of matrix entries it can honestly invalidate, plus a generic rule for
backend/Dockerfile.<x> (which each entry already names). A full matrix is
417 Linux + 56 Darwin builds, so package-gpu-libs.sh now rebuilds the 176
Python entries rather than everything. Unclassified files under
scripts/build/ fall back to a full rebuild deliberately: over-building is
recoverable, silently shipping nothing is not.

Extract the filtering logic to scripts/lib/backend-filter.mjs so it can be
unit-tested without bun, js-yaml or a GitHub API round-trip, and run those
tests from the existing lint workflow via `make test-ci-scripts`.


Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Edit] [Bash]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-20 13:48:12 +02:00
mudler's LocalAI [bot]
465d488c90 fix(distributed): reject wrong-model requests at the backend (#10970)
fix(distributed): reject wrong-model requests at the backend (#10952)

In distributed mode the controller caches a NodeModel row naming a backend's
host:port. A worker can recycle a stopped backend's gRPC port for a different
model's backend, and probeHealth verifies liveness rather than identity, so the
probe succeeds against whatever now occupies the port and the request is
dispatched to the wrong backend. The caller gets a silent wrong-model answer.

Nothing in the request could catch this: PredictOptions had no model field, so
model identity crossed the wire only in ModelOptions.Model at LoadModel time,
and the cached-hit path issues no LoadModel. Every backend's "model not loaded"
guard checks a nil handle, which a process holding a different model passes, so
the stale row was never dropped either.

Add PredictOptions.ModelIdentity and enforce it at the point of use:

  - The controller populates it in gRPCPredictOpts from ModelConfig.Model, the
    same expression ModelOptions feeds to model.WithModel and therefore the
    same value the backend received as ModelOptions.Model. Both are read from
    one config value in one function, so they are equal by construction and the
    comparison cannot false-reject.
  - Backends compare it against what they loaded and return NOT_FOUND with a
    fixed sentinel. Enforced in pkg/grpc/server.go (27 Go backends), an
    interceptor in backend/python/common (all 36 Python backends, no
    per-backend change), and the llama-cpp / ik-llama-cpp / ds4 C++ servers.
    That is every backend with real exposure: kokoros answers all four RPCs
    with unimplemented and privacy-filter implements none of them.
  - The router's reconcile drops the stale replica row on a mismatch, so the
    next request reloads somewhere correct.

Empty means "skip the check" on both sides: a controller that predates the
field sends nothing, a backend loaded by such a controller has nothing to
compare, and the C++ server synthesizes PredictOptions internally for ASR. That
keeps upgrades working in both directions.

Scoped to the four PredictOptions RPCs. TTSRequest.model and
SoundGenerationRequest.model are deliberately NOT validated: FileStagingClient
already rewrites them to worker-local absolute paths, so in distributed mode
they already differ from the load-time value and comparing them would reject
valid requests.

IsModelMismatch requires both the NOT_FOUND code and the sentinel, unlike the
neighbouring helpers which accept either. insightface's Embedding returns
NOT_FOUND "no face detected" on a PredictOptions RPC, and a code-only check
would drop a healthy replica row on every faceless image.


Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Edit] [Bash]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-20 13:05:47 +02:00
mudler's LocalAI [bot]
1618c2e445 chore(model gallery): 🤖 add 1 new models via gallery agent (#10971)
chore(model gallery): 🤖 add new models via gallery agent

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-20 08:34:55 +02:00
dependabot[bot]
9043cbc786 chore(deps): bump torch CPU wheels to 2.12.1 (#10969)
* chore(deps): bump the pip group across 6 directories with 1 update

Bumps the pip group with 1 update in the /backend/python/ace-step directory: torch.
Bumps the pip group with 1 update in the /backend/python/llama-cpp-quantization directory: torch.
Bumps the pip group with 1 update in the /backend/python/longcat-video directory: torch.
Bumps the pip group with 1 update in the /backend/python/sglang directory: torch.
Bumps the pip group with 1 update in the /backend/python/trl directory: torch.
Bumps the pip group with 1 update in the /backend/python/vllm-omni directory: torch.


Updates `torch` from 2.10.0+rocm7.0 to 2.12.1+cpu

Updates `torch` from 2.10.0 to 2.12.1+cpu

Updates `torch` from 2.12.1 to 2.12.1+cu130

Updates `torch` from 2.9.0 to 2.12.1+cpu

Updates `torch` from 2.10.0 to 2.12.1+cpu

Updates `torch` from 2.7.0 to 2.12.1+cu130

---
updated-dependencies:
- dependency-name: torch
  dependency-version: 2.12.1+cpu
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: torch
  dependency-version: 2.12.1+cpu
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: torch
  dependency-version: 2.12.1+cu130
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: torch
  dependency-version: 2.12.1+cpu
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: torch
  dependency-version: 2.12.1+cpu
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: torch
  dependency-version: 2.12.1+cu130
  dependency-type: direct:production
  dependency-group: pip
...

Signed-off-by: dependabot[bot] <support@github.com>

* fix(deps): preserve platform-specific torch requirements

Keep the 2.12.1 CPU bump only where uv resolves it cleanly, and restore ROCm, CUDA, MPS, and unrelated transformers constraints that Dependabot rewrote to incompatible wheel variants.

Assisted-by: Codex:gpt-5 [uv]

---------

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-07-20 08:34:33 +02:00
localai-org-maint-bot
0406741a8c fix(vibevoice): install diffusers from PyPI instead of git main (#10972)
Every vibevoice requirements file pulled diffusers straight from
git+https://github.com/huggingface/diffusers. That branch now reports
itself as 0.40.0.dev0 and requires huggingface-hub>=1.23.0,<2.0, while
transformers>=4.51.3,<5.0.0 (which upstream VibeVoice mandates) still
caps huggingface-hub at <1.0. Because a git URL offers the resolver
exactly one candidate version, uv has nothing to backtrack to and the
install fails outright:

  Because only diffusers==0.40.0.dev0 is available and diffusers==0.40.0.dev0
  depends on huggingface-hub>=1.23.0,<2.0 [...] we can conclude that your
  requirements are unsatisfiable.

This broke the vibevoice build on every variant - cpu (amd64/arm64),
cuda 12/13, l4t 12/13, intel and rocm, plus the darwin metal job - and
has been failing the weekly full-matrix rebuild for three weeks. It is
not caught by master pushes because backend builds are path-filtered
there, so it only surfaces on the Sunday cron and on release tags.

Use the PyPI package instead. That is what upstream VibeVoice declares
in its own pyproject.toml, and what every other LocalAI backend already
does - vibevoice was the only one tracking the git branch. With a real
release series available the resolver settles on diffusers 0.39.0 with
huggingface-hub 0.36.2 and transformers 4.57.6, and it can keep
backtracking on its own if upstream shifts again.

Verified with uv pip compile against cpu, cublas12, cublas13, hipblas,
intel, mps and l4t13: all resolve to that same coherent set. l4t12 only
resolves on aarch64, since its Jetson index ships no x86_64 torch wheel.


Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Bash] [uv]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-20 08:27:25 +02:00
Nandana Dileep
b5e4413eab feat: add MiniMax-M3 model support (#10837)
Adds inference parameter defaults for the minimax-m3 model family and
includes a vendored patch of upstream llama.cpp PR #24523 to recognize
the minimax-m3 architecture. Once the upstream PR merges, the patch can
be removed and LLAMA_VERSION bumped normally.

Changes:
- backend/cpp/llama-cpp/patches/0001-add-minimax-m3-support.patch:
  vendored patch from ggml-org/llama.cpp#24523 (Preliminary MiniMax-M3
  support). Applied by prepare.sh during the build; keeps the pinned
  LLAMA_VERSION pointing at the latest upstream tag.
- core/config/inference_defaults.json: add minimax-m3 family entry
  (temperature=1.0, top_p=0.95, top_k=40, min_p=0.01,
  repeat_penalty=1.0, matching the existing minimax defaults) and
  register it in the patterns list before the shorter minimax-m2.7
  entry for correct longest-match-first ordering.

Upstream: depends on ggml-org/llama.cpp#24523
Closes: https://github.com/mudler/LocalAI/issues/10820

Signed-off-by: Nandana Dileep <110280757+nandanadileep@users.noreply.github.com>
2026-07-20 08:26:51 +02:00
mudler's LocalAI [bot]
e55cc3e2a7 fix(worker): bound the gRPC port allocator and stop leaking dead backends' ports (#10968)
The worker's gRPC port allocator grew monotonically with no upper bound:
nextPort started at the base port and incremented whenever freePorts was
empty, and nothing checked 65535. Past that it handed out integers that
cannot be bound, surfacing as an opaque "backend won't start".

#10961 estimated this needed ~15,000 concurrent-peak allocations, i.e.
effectively unreachable. It is not, because of a second defect: the
"process died unexpectedly" branch in startBackend deleted the process
map entry without releasing its port at all. That port was leaked, never
quarantined and never reused. A crash-looping backend leaks one port per
restart, so a backend dying every 30s walks 50051 to 65535 in about five
days. The leak, not concurrent peak, is the realistic route to exhaustion.

Fixing the leak alone would have been wrong. Releasing that port makes it
re-bindable, and the death path is the one teardown path with no
request/reply to carry StoppedProcessKeys back to the controller (#10952's
eager row removal), so a stale NodeModel row could then resolve to a live
listener belonging to a different backend. probeHealth verifies liveness,
not identity, so the request is silently misrouted. The 15s port
quarantine does not cover this: the only reaper is the per-model health
check at ~45s, and it can be disabled outright. The residual was masked
only because the port was never rebound.

So both are fixed together:

- The allocator takes an explicit [basePort, LOCALAI_GRPC_MAX_PORT] range
  and returns ErrNoFreePort naming the range, the live backend count, the
  quarantined count, and the knob to raise. Exhaustion is now diagnosable
  instead of surfacing as an unbindable port.

- Released ports carry per-key affinity: a port is offered back to the
  process key that last held it before any other key. Process keys
  (modelID#replica) and NodeModel rows (nodeID, modelName, replicaIndex)
  are isomorphic, so a port that can only be re-bound by its previous
  owner can only ever be named by that owner's row, which that key's
  re-registration overwrites. Misrouting to a different model becomes
  impossible by construction rather than by racing the quarantine timer.

Affinity is a preference, not a reservation: under range pressure an owned
port is stolen with a warning, because a guaranteed outage is worse than a
rare misroute window on a port long out of quarantine. Claiming a port
evicts its previous owner's entry, keeping ownership injective over ports
so the affinity map can never exceed the range width regardless of how
many distinct model keys the worker sees.

Ownership also expires. It is only load-bearing while a controller row
could still name the port, which the per-model reaper bounds at roughly
45s, so it lapses after five minutes and the port becomes ordinary free
space again. Holding it indefinitely would have made every distinct model
the worker ever served consume a port permanently: every release path is
keyed, so nothing would ever be unowned, the allocator would climb to the
end of its range on distinct-key count rather than concurrency, stealing
would become routine, and the steal warning would tell operators to widen
a range that was not the constraint. With expiry, reaching the steal
branch means the worker is genuinely out of concurrent capacity, so that
advice is correct when it appears.

Closes #10961
Closes #10952


Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Edit] [Bash]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-19 23:56:37 +00:00
mudler's LocalAI [bot]
9d82c37f98 fix(distributed): backend discovery hid worker-installed backends behind the controller's filesystem (#10967)
fix(distributed): backend discovery hid worker-installed backends

Backend discovery endpoints filter on installed-state, which on a
distributed controller derives from the controller's own filesystem. A
backend lives on the worker node that runs it, so every backend an admin
installed on a GPU worker read as "not installed" and vanished from the
listing. #10947 fixed the sibling capability filter on the same endpoints,
so a fine-tuning-capable GPU worker now made the backend listable while
the installed-state filter still dropped it: the dropdown stayed empty.

The controller cannot derive this locally, but it already aggregates the
per-node view that GET /backends renders, so discovery reuses the active
BackendManager rather than growing a second path. Three surfaces shared the
root cause and route through the same helper now:

  - GET /backends/available (Installed is now cluster-wide)
  - GET /api/fine-tuning/backends
  - GET /api/quantization/backends

The response stays a boolean rather than an installed-on-N-of-M count:
per-node install state is already served by GET /backends nodes[], and
per-node control by POST /api/nodes/:id/backends/install, so a summary is
all these dropdowns need.

A nil provider (single-node) leaves the local filesystem as the only source
and reproduces today's listing exactly, and a registry error degrades to
that same listing instead of blanking the catalog.


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>
2026-07-20 01:09:37 +02:00
mudler's LocalAI [bot]
f735cb24c0 fix(worker): reap deleted backends and stop models that live on a worker (#10956)
* fix(worker): reap deleted backends and stop models that live on a worker

Three related backend-lifecycle defects, all reachable from the same
production incident on a Jetson/Thor worker: a deleted backend's gRPC
process survived ~40 minutes with its directory removed from disk, a later
model load was routed to that orphan and failed with a certifi path pointing
into the deleted directory, and the admin could not stop the model because
the frontend reported it as not loaded.

1. backend.delete orphaned the process it claimed to delete
------------------------------------------------------------
s.processes is keyed by `modelID#replicaIndex` (buildProcessKey), so the
backend name never appeared in a key and was recorded nowhere on the
process. backend.delete resolved its target via isRunning/stopBackend, whose
prefix path only matches a bare *modelID* - a delete keyed on a backend name
resolved to zero keys, the stop silently no-op'd, and the files were removed
out from under a live process.

The install fast path then handed that orphan back out: it returns any live
process for the (model, replica) slot without checking which backend started
it, so a reinstalled variant inherited the deleted backend's port.

- Record backendName on backendProcess, threaded installBackend ->
  startBackend.
- Add resolveProcessKeysForBackend, matching the recorded name and resolving
  alias <-> concrete via ListSystemBackends *before* DeleteBackendFromSystem
  erases the metadata that carries the alias. Alias resolution failure
  degrades to name-only matching so a delete never fails on it.
- backend.stop goes through resolveStopTargets, which accepts a backend
  name, a model name, or an exact modelID#replica key. Its payload field is
  named "backend" but is published with all three meanings: the admin UI
  sends a backend name, UnloadRemoteModel sends a model name, and the
  router's abandoned-load reap (#10948) sends an exact replica key.
  Narrowing it to backend names alone would strand the latter two.
  backend.delete stays strict - its identifier is unambiguously a backend.
- Gate the install fast path on processMatchesBackend so a slot held by a
  different backend is restarted rather than reused. Processes with no
  recorded name (pre-upgrade) are accepted, so rollout does not restart
  every running backend.
- stopBackendExact reports a real stop failure - the process still being
  alive afterwards, which is precisely what finishBackendStop already
  detects to keep the entry and its port reserved - and backend.delete no
  longer replies success when it knew about a process and could not kill it.
  "No process was running" stays a success but is logged, so the orphan case
  is visible rather than silent.

2. /backend/shutdown reported a running model as missing
---------------------------------------------------------
ModelLoader.deleteProcess short-circuits on a miss in this replica's
in-memory store. In distributed mode the authoritative record of "is this
model loaded" is the shared node registry: a frontend replica that never
served the model itself (load balancer picked a peer, or the replica
restarted) has no local entry. The remote unload path that pkg/model
documents ("when ShutdownModel is called for a model with no local process,
UnloadRemoteModel is called") sat behind that short-circuit, unreachable in
exactly the case it exists for. #10865 reworked this function but kept the
short-circuit at the top, so the gap survived that refactor.

- deleteProcess consults the remote unloader on a local-store miss, via a
  shared unloadRemote helper so this branch and the existing
  no-local-process branch both prefer #10865's RemoteModelContextUnloader,
  preserving force propagation across the distributed boundary.
- UnloadRemoteModelContext reports ErrRemoteModelNotLoaded when no node has
  the model; it previously returned nil, making a no-op stop
  indistinguishable from a real one. The converse case (nodes have it, none
  could be stopped) already errors since #10865 joined the per-node
  failures, so that half of the original fix was dropped as redundant.
- Only when the model is absent locally AND cluster-wide does the endpoint
  report not-found, now 404 naming both scopes rather than a bare 500.
- modelNotFoundErr becomes the exported ErrModelNotFound so the HTTP layer
  can map it without string matching; watchdog's identity comparison becomes
  errors.Is.

3. Coverage for the bounded Free() that #10865 shipped untested
----------------------------------------------------------------
The original branch also bounded the pre-stop Free(), but #10865 landed that
fix first (workerBackendFreeTimeout, applied in both stopBackendExact and
handleModelUnload). That production change is therefore DROPPED here as
superseded - master's version is strictly better, since it also releases the
supervisor mutex across the call and keeps the port reserved until
termination completes.

What #10865 did not ship is a test, and the bound is load-bearing: the
router-side reap in #10948 sends backend.stop for an abandoned load, and
against a wedged backend an unbounded Free would swallow that stop before it
reached the process. Nothing failed if the bound regressed.

The spec stands up a real gRPC backend server whose Free handler never
returns - what a Python backend looks like when its single worker thread
(PYTHON_GRPC_MAX_WORKERS=1 on 37 backends) is occupied by a stuck LoadModel.
A stub socket is not sufficient and was tried first: without a completed
HTTP/2 handshake, gRPC's own ~20s connect timeout ends the call, so that
version passed against the very bug it targets. With the connection READY,
only the caller's deadline can end it, so the spec hangs to its 60s limit if
the timeout is removed and passes with it.

Its fixture process is deliberately never started. go-processmanager v0.1.1
writes Process.pid from readPID() without synchronization, so a live process
races its own monitor goroutine under -race - reproducible with a bare
Run()+Stop() and unrelated to this spec. Since
scripts/model-lifecycle-conformance.sh runs this package with -race and is
fail-closed, starting one would turn that gate red on an upstream defect. An
unstarted process still proves the point: the stop is reached and the slot
released, which is exactly what an unbounded Free prevents.

Verified: make lint (new-from-merge-base origin/master) reports 0 issues;
scripts/model-lifecycle-conformance.sh passes all three stages including the
FizzBee liveness check (1458 states, IsLive: true).

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

* fix(distributed): keep remote unload idempotent, ask presence separately

2035a4d25 made UnloadRemoteModel return ErrRemoteModelNotLoaded when no node
holds the model, so ShutdownModel could answer 404 instead of a misleading
500. That narrowed a shared adapter contract to serve one caller and broke
the documented idempotent-unload guarantee, which CI caught on PR #10956:

  [FAIL] Node Backend Lifecycle (NATS-driven) > NATS backend.stop events
         should be no-op for models not on any node [Distributed]
         Expected success, but got: model not loaded on any node

The spec name states the contract outright. The matching unit assertion was
updated in that commit; this e2e one was missed because it lives under
tests/e2e/ with no build tags and does not run in package-scoped test runs.

Caller audit - who breaks when an idempotent unload becomes an error:

- pkg/model/watchdog.go:902 (LRU memory reclaimer) is the serious one. It
  untracks a model ONLY when shutdown returns nil or ErrModelNotFound. A new
  error type means the model is never untracked, so the reclaimer keeps
  re-selecting the same entry and never reclaims - a live wedge whenever a
  local store entry outlives the remote model.
- core/services/galleryop/managers_local.go:43 (DeleteModel) would warn on
  every deletion of an already-unloaded model.
- core/services/modeladmin/{state,config,remote_sync}.go stop instances
  best-effort against models that are frequently not loaded.
- deleteProcess itself: the no-local-process branch returns the unload result
  directly, so a stale local entry for a model no longer on any node turned a
  previously-successful cleanup into a failure.

Only ShutdownModel wants the distinction, and only on the local-store-miss
path. So the distinction moves to the caller instead of the contract:

- UnloadRemoteModel/UnloadRemoteModelContext return nil again when no node
  has the model, and ErrRemoteModelNotLoaded is removed.
- New optional RemoteModelPresenceChecker (HasRemoteModel) answers the
  question directly. deleteProcess consults it BEFORE unloading, because an
  idempotent unload cannot report afterwards whether anything was stopped.
  Absent locally AND cluster-wide is the only case that reports 404.
- A failed registry lookup is surfaced rather than reported as absence: an
  unreachable registry is not evidence a model is gone, and answering a
  confident 404 off a failed lookup is how an operator gets told a running
  model does not exist.
- Unloaders that predate the extension keep working - deleteProcess attempts
  the unload rather than refusing it - and compile-time assertions in the
  nodes package now pin all three optional interfaces, since both are
  consumed by runtime type assertion where drift degrades behavior silently
  instead of failing the build.

The contract is now pinned at both levels that disagreed, each spec pointing
at the other: "with no nodes returns nil" in unloader_test.go and "should be
no-op for models not on any node" in node_lifecycle_test.go.

Verified: full distributed e2e suite 233 passed / 0 failed (the suite that
failed 232/1 in CI); pkg/model and core/services/nodes green; make lint
new-from-merge-base reports 0 issues.

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

* fix(distributed): drop replica rows when a worker stops a backend

A worker returns a stopped backend's gRPC port to its allocator as soon as
the process is confirmed dead, and hands it to the next backend that starts.
The controller's NodeModel row for the old address survives, and both
SmartRouter.probeHealth and the HealthMonitor per-model probe verify
liveness, not identity, so once an unrelated backend binds the recycled port
the stale row passes every check and the request is served by the wrong
backend instead of failing.

backend.delete is newly able to trigger this: before #10956 a delete never
actually stopped a process, so it never recycled a port. backend.upgrade has
the identical gap and always did — upgradeBackend force-stops every process
using the binary and starts none back up, while
DistributedBackendManager.UpgradeBackend never removes rows. model.unload is
the one path that gets this right today: it calls RemoveAllNodeModelReplicas
straight after StopBackend.

Report the process keys the worker terminated on the delete and upgrade
replies, and drop the matching rows in RemoteUnloaderAdapter, which already
holds a ModelLocator with RemoveNodeModel. All three call sites funnel
through that adapter, so no new interface, DB migration, or proto change is
needed. A key is reported only once its process is confirmed gone, so the
list stays trustworthy on the partial-failure replies too.

Old workers never populate the new fields. ReportsStoppedProcesses tells
"stopped nothing" apart from "does not report", so an old worker's silence
falls back to the pre-existing probe-based staleness recovery instead of
being mistaken for a completed cleanup.

Quarantine released ports for a short window as an interlock covering the
NATS round-trip between the worker freeing the port and the controller
dropping the row. It is deliberately not derived from HealthCheckInterval:
that cadence is operator-tunable and the per-model reaper can be disabled
outright, so coupling a worker-local constant to it would be silently wrong
on some clusters. Eager row removal is the fix; the delay only closes the
handoff gap.

Identity verification in probeHealth was considered and rejected: Health and
Status carry no backend identity, so it needs a proto change plus an
implementation in 36 Python and 4 C++ Health servicers, it is fail-open for
any backend not yet rebuilt, and the probeCache short-circuit means it would
not even execute during the 30s window where the misroute happens.

Fixes #10952
Refs #10954, #10956

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

* chore(deps): bump go-processmanager, assert real backend termination

go-processmanager wrote Process.PID from readPID() with no synchronization
while its own monitor goroutine cleared the same field on exit, so a bare
Run()+Stop() tripped the race detector without any concurrent access from
the caller. LocalAI hit this on every backend stop.

Upstream fixed it in a94e2b7 by guarding PID with a mutex and adding
CurrentPID() as a race-safe accessor. The exported field was kept to avoid
a breaking change but is now deprecated: a direct read still races the
monitor. No tag carries the fix yet, so pin the pseudo-version.

GetGRPCPID reads through CurrentPID() instead of the field. The accessor
returns the same string under an RLock, so the empty-PID and strconv error
paths are unchanged; it is the only direct field read in the tree.

With the race gone, the Free-timeout spec no longer has to leave its
fixture process unstarted. It now runs a real child and asserts the child
genuinely exits, which is exactly what the earlier workaround gave up: the
spec could show the stop was reached and the slot released, but not that
SIGTERM ever landed. Termination is observed through Done(), which closes
only once the library has waited on the child. The pidfile-based liveness
helpers cannot serve here, because Stop() deletes the pidfile while
releasing the handle and so reports "not alive" even if no signal was sent.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Edit] [Bash]

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-20 01:09:22 +02:00
mudler's LocalAI [bot]
5c607c09d5 chore: ⬆️ Update ServeurpersoCom/omnivoice.cpp to 339e3d7fc7161f8ae61d22c291ff40f68b690266 (#10962)
⬆️ Update ServeurpersoCom/omnivoice.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-20 00:38:25 +02:00
mudler's LocalAI [bot]
2f7b292143 chore: ⬆️ Update CrispStrobe/CrispASR to 5fca47ecf05cd68bb0075f8a00fe04da06f208d0 (#10963)
* ⬆️ Update CrispStrobe/CrispASR

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

* fix(crispasr): initialize only declared submodules

The latest upstream commit contains an undeclared CrispASR gitlink that makes a blanket recursive submodule update fail. Limit initialization to the two submodules used by the backend build.

Assisted-by: Codex:gpt-5 [Codex]

* fix(crispasr): resolve vendored WebRTC from project root

CrispASR now builds a vendored WebRTC VAD, but its include paths assume CrispASR is the top-level CMake project. Extend the existing embedded-project rewrite to the shared third_party root.

Assisted-by: Codex:gpt-5 [Codex]

---------

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-07-20 00:38:13 +02:00
zjuzhongwen
864c84f48b chore: fix some comments to improve readability (#10960)
Signed-off-by: zjuzhongwen <zjuzhongwen@outlook.com>
2026-07-20 00:37:40 +02:00
mudler's LocalAI [bot]
8cef340659 chore: ⬆️ Update ServeurpersoCom/qwentts.cpp to e93292bee1778854ab7dcb2d325ffe531fef910f (#10964)
⬆️ Update ServeurpersoCom/qwentts.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-20 00:37:23 +02:00
mudler's LocalAI [bot]
c2704dba5b fix(gpu): detect GPUs via sysfs when no pci.ids database is present (#10966)
* fix(gpu): detect GPUs via sysfs when no pci.ids database is present

ghw.GPU() calls pci.New() before it reads /sys/class/drm and fails
outright when it cannot find a pci.ids database file. jaypipes/pcidb
embeds no database and has network fetch disabled by default, so on an
image that ships no pci.ids, GPU enumeration returns an error and every
detection path downstream goes dark.

The Dockerfile installs pciutils only in the vulkan and cublas branches,
so the Intel image had no pci.ids. A correctly passed-through Arc A310
was reported as "No GPU detected" with zero VRAM even though clinfo and
sycl-ls both enumerated it inside the same container. NVIDIA and AMD
images were shielded by their nvidia-smi / rocm-smi binary fallbacks;
Intel has no equivalent, leaving it fully exposed.

Read PCI vendor IDs directly from /sys/class/drm/card*/device/vendor,
which needs no database, and consult that from DetectGPUVendor. The
same scan replaces the ghw-only guard in getIntelGPUMemory, which is
what had been blocking the working clinfo path and keeping VRAM at
zero. Install hwdata in the base image stage as well, so ghw stops
failing for every image variant rather than only Intel.

Also apply the documented NVIDIA > AMD > Intel priority to the ghw
path, which previously returned whichever card DRM enumerated first
and so reported "intel" on a machine with an Intel iGPU at card0 and
an NVIDIA dGPU at card1.

HasGPU() carried the same blindness plus one of its own: it matched
the requested vendor against ghw's card description with a
case-sensitive Contains, so "nvidia" never matched the pci.ids
spelling "NVIDIA Corporation". It only worked because that same
description embeds the lowercase kernel driver name ("nvidia",
"amdgpu"), and it returned false outright whenever ghw errored. Route
it through the shared vendor lookup so it matches case-insensitively
and falls back to sysfs. It feeds the GPU option and NGPULayers
defaults in core/config/gguf.go.

Fixes #10941

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

* refactor(gpu): key vendor detection off the numeric PCI ID in both paths

The ghw and sysfs legs were identifying vendors by different means: ghw
by substring-matching the pci.ids vendor name, sysfs by the numeric PCI
vendor ID. ghw already exposes that same numeric ID via
DeviceInfo.Vendor.ID, read from the kernel's modalias rather than from
the database, so the name matching was both a duplicate mechanism and
the weaker of the two.

It is weaker because a card absent from an outdated pci.ids gets
Name: "unknown" while its ID is still correct. Detection then failed
even though ghw had enumerated the card successfully. Verified in a
container with a vendor-less pci.ids and an Arc's modalias: before,
DetectGPUVendor returned ""; after, "intel".

Both legs now resolve through the same pciVendorIDs table and share the
hex parsing, with the vendor name kept only as a fallback for devices
exposing no parseable ID.

ghwHasVendor is deliberately not a priority pick, unlike vendorFromGHW:
HasGPU("intel") must stay true on a hybrid-graphics host whose discrete
NVIDIA card outranks the integrated Intel one.

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

* fix(gpu): silence the gosec G304 on the sysfs attribute read

gosec flags os.ReadFile with a non-literal path. The path here is the
DRM root (a package constant in production, a temp dir under test)
joined with a ReadDir entry name and a fixed attribute filename, so no
external input reaches it.

gosec's suggested autofix, os.Root, cannot be used: /sys/class/drm/cardN
is a symlink into the PCI device tree, and os.Root refuses to traverse
it ("path escapes from parent"), which would disable the whole scan.

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

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-20 00:37:06 +02:00
mudler's LocalAI [bot]
92dc326606 chore(model-gallery): ⬆️ update checksum (#10965)
⬆️ Checksum updates in gallery/index.yaml

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-19 23:35:30 +02:00
Tai An
217fdd2234 fix(qwen-asr): map ISO language codes to the names Qwen3-ASR expects (#10959)
request.language usually carries an ISO 639-1 code (e.g. "de"), which
OpenAI-compatible clients such as Home Assistant / wyoming_openai send,
but qwen_asr.validate_language() only accepts full English names
("German") and raises ValueError otherwise. Normalize the requested
language: accept full names case-insensitively, translate ISO codes
(with optional region suffix like "de-DE") to the expected name, and
pass anything unrecognised through so qwen_asr still reports it clearly.

Fixes #10958

Signed-off-by: Tai An <antai12232931@outlook.com>
2026-07-19 22:00:23 +02:00
mudler's LocalAI [bot]
0e0221b0f5 fix(vision): probe the media marker for pinned llama.cpp backend variants (#10955)
llama.cpp picks a random per-process media marker (ggml-org/llama.cpp#21962),
so LocalAI renders the prompt with a "<__media__>" sentinel and swaps in the
backend's real marker after probing ModelMetadata.

That probe was gated on an exact match against "llama-cpp", the gallery's meta
backend name. A model config pinning a concrete build ("vulkan-llama-cpp",
"cuda12-llama-cpp", "rocm-llama-cpp", ... and their -development counterparts)
runs the same llama.cpp gRPC server but skipped the probe, so MediaMarker
stayed empty, no substitution happened, and the prompt reached mtmd still
carrying the sentinel. mtmd_tokenize then counted zero markers against one
bitmap and every image request failed with "Failed to tokenize prompt".

The same early return also skipped thinking-mode detection and tool-format
marker extraction, so a pinned variant silently lost reasoning and native
tool-call parsing too.

Add IsLlamaCppBackend, which recognises the whole variant family (plus the
empty auto-detect name, which resolves to llama.cpp) while excluding
ik-llama.cpp, a separate engine that merely shares the suffix.

Fixes #10945


Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Edit] [Bash]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-19 12:46:50 +02:00
mudler's LocalAI [bot]
fb4c61d1c9 fix(distributed): configurable remote model-load timeout, and reap the load when it times out (#10948)
* fix(distributed): make the remote LoadModel deadline configurable

The router hardcoded a 5 minute gRPC deadline for the remote LoadModel
call. Staging finishes before the timer starts, so those five minutes
cover only the worker backend's own checkpoint load and pipeline init.
A cold load of meituan-longcat/LongCat-Video-Avatar-1.5 (~83 GB) on an
ARM64 Thor worker fails at exactly 302s with DeadlineExceeded while the
backend process is still making progress (CPU time accumulating, RSS
moving as weights are mapped), so the load was cut short rather than
wedged.

Add LOCALAI_NATS_MODEL_LOAD_TIMEOUT / --model-load-timeout mirroring the
existing backend-install timeout knob, defaulting to 5m so unset
clusters keep today's behaviour.

The cold-load hold ceiling (which bounds how long one load may hold the
per-model advisory lock) was derived from the install timeout alone, so
raising the load deadline past it would have been silently clipped.
Derive it from both budgets via ModelLoadCeilingFor:

    max(install + load + 5m staging margin, 25m)

With the defaults that is 15m + 5m + 5m = 25m, identical to the previous
constant, and the 25m floor means shrinking either budget can never
tighten the ceiling below what clusters relied on before.

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

* fix(distributed): reap the abandoned replica when a remote load times out

The gRPC deadline on the remote LoadModel call only cancels the client
side. A backend blocked in a synchronous weight load never observes its
cancelled handler context, so when scheduleAndLoad gave up it left the
worker loading with nobody waiting for the result.

Observed on an ARM64 Thor worker loading LongCat-Video-Avatar-1.5: the
client returned DeadlineExceeded at 302s, and the backend process was
still alive 30 minutes later having pulled ~57GB from HuggingFace. Every
retry stacked another multi-GB loader on the worker; they had to be
reaped by hand via POST /api/nodes/:id/models/unload.

Send backend.stop for the exact `modelID#replicaIndex` process key we
just abandoned. The exact key matters: a bare model ID stops every
replica on that node, including healthy ones serving traffic.

Only a deadline or cancellation triggers the reap. Any other LoadModel
failure is the backend answering, which means its handler returned and
the process is idle - stopping it there would discard a warm process and
its downloaded weights. The reap is best-effort and never replaces the
load error the caller is waiting on.

The `modelID#replicaIndex` format was already hand-rolled in two places
(the worker's buildProcessKey and pkg/model's log store). Rather than add
a third, export model.BackendProcessKey from pkg/model, the lowest common
dependency of both sides.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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>
2026-07-19 12:01:48 +02:00
mudler's LocalAI [bot]
626ae4d51e fix(model-artifacts): materialize longcat-video on the controller, and support companion repos (#10949)
* fix(model-artifacts): materialize longcat-video checkpoints on the controller

longcat-video loads a checkpoint directory: its backend.py takes
request.ModelFile when os.path.isdir(request.ModelFile) and otherwise
falls back to snapshot_download. That places it in the same class as
transformers/vllm/diffusers/sglang, but the allow-list added in #10910
did not enumerate it, so PrimaryArtifactSpec returned no managed
artifact for a bare HuggingFace repo id.

The consequence in distributed mode: nothing was acquired on the
controller, ModelFileName fell through to the raw repo id, and staging
skipped the resulting phantom /models/<owner>/<repo> path. The worker
received a blank ModelFile, fell back to request.Model, and downloaded
~83GB from HuggingFace inside the remote LoadModel deadline - so the
load could only ever fail with DeadlineExceeded while an abandoned
backend process kept downloading.

Note this materializes the full repository. The backend restricts its
own snapshot_download with allow_patterns, and the avatar repo ships
both base_model/ and base_model_int8/ where only one is ever loaded;
inferred specs have no way to carry patterns today. Tracked separately.

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

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

* fix(distributed): warn when staging skips a non-existent model path

stageModelFiles logs "Staging model files for remote node" up front, then
silently drops any path field that does not exist on the controller. The
skip itself is legitimate and must stay: a backend outside
managedArtifactBackends that takes a bare HuggingFace repo id gets an
optimistically constructed path (ModelFileName falls through to the raw
model reference) that was never materialized, and sources its own weights
on the worker. Erroring would break those configs.

But at debug level the operator is left with a reassuring staging line and
no trace of the skip, so a genuine controller-side acquisition gap is
indistinguishable from a healthy pass-through - it surfaces much later as
a remote LoadModel timeout, on a worker that is quietly downloading tens
of gigabytes. Raise the skip to warn and name the field, path, node and
tracking key. Behavior is unchanged.

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

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

* feat(model-artifacts): allow a config to declare companion artifacts

A composed pipeline needs more than one HuggingFace snapshot.
LongCat-Video-Avatar-1.5 loads its own transformer but takes the
tokenizer, text encoder and VAE from the separate LongCat-Video base
repo, so a single-artifact config cannot express it and the backend is
left to fetch the second repo itself at load time.

Widen the artifact model to target: model plus any number of named
target: companion entries. Normalize accepts the new target and
constrains a companion name to [a-z0-9][a-z0-9_-]{0,63} because that
name is the option key the backend later receives; a companion may not
claim primary_file, which only means anything for a load target.
ModelConfig.Validate requires exactly one primary and requires it first,
since Artifacts[0] is what ModelFileName, size estimation and staging all
resolve from.

Both acquisition paths now loop instead of touching index 0 alone:
preloadOne for an already-installed config, bindPrimaryArtifact for a
gallery install. Failure policy differs by provenance. An inferred
primary keeps its warn-and-fall-back, because the legacy download path
still exists for it. Companions are explicit by construction, so they are
all-or-nothing: a config naming one is asserting the backend needs it,
and failing at the acquisition boundary is far more legible than a
missing-weights error surfacing later inside the backend.

The cache key is deliberately unchanged. It hashes source identity only,
never name or target, so every already-installed managed model still hits
its existing snapshot instead of silently re-downloading. Two specs pin
that: one proving a companion and a primary with identical sources agree
on the key, and one pinning the digest of a known primary outright.

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

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

* feat(model-artifacts): hand resolved companion snapshots to the backend

A materialized companion is useless until the backend can find it, and
its location is a content-addressed cache key that does not exist until
the artifact resolves. A static gallery override cannot carry that, and
persisting it into the config YAML would rot the moment a re-resolve
produced a new key.

Synthesize it instead at load time: each resolved companion becomes
"<artifact name>:<snapshot path>" in ModelOptions.Options, reusing the
key:value convention backends already parse for options like
attention_backend. The value stays relative to the models directory so a
remote worker can resolve it under its own ModelPath once staging has
rewritten the model root. An option the author set explicitly always
wins, so pinning a companion to a local checkout still beats the managed
snapshot.

longcat-video resolves base_model through ModelPath, the same convention
qwen-tts, voxcpm, outetts and ace-step already use for companion assets.
Its sibling-directory heuristic is deleted: it looked for a LongCat-Video
directory next to the model, which cannot exist under the content
addressed .artifacts/huggingface/<key>/snapshot layout, so it was dead
code the moment the model became managed.

The gallery entry declares both repositories and restricts each with
allow_patterns. The avatar repo ships base_model/ and base_model_int8/
and only ever loads one, so fetching the whole repo would roughly double
the download. The patterns match the entry's own options (use_distill
true, use_int8 default false); enabling use_int8 here also requires
adding base_model_int8/**, which is called out in the entry.

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

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

* fix(distributed): stage managed artifact trees from the models root

Staging anchored the worker's models directory on the primary snapshot
whenever a model was managed, so a companion snapshot could not reach the
worker at all.

frontendModelsDir was derived by stripping the Model relative path off
the end of ModelFile. For a managed artifact nothing matches: ModelFile
is .artifacts/huggingface/<key>/snapshot while Model stays a bare
HuggingFace repo id, so the strip was a no-op and the "models directory"
came out as the snapshot itself. Two consequences, both silent. Staging
keys lost the .artifacts/huggingface/<key>/snapshot prefix, so two
snapshots of one model were indistinguishable on the worker. And a
companion, which lives in a sibling snapshot directory outside the
primary, fell outside that directory entirely: StagingKeyMapper.Key
collapsed its files to bare basenames and resolveOptionPath could not
resolve the relative option at all, so it was skipped without a word.

Derive the models root from the artifact tree instead when the path runs
through it, and compute the worker's ModelPath from the file's path
relative to that root rather than from the Model field. The legacy layout
is unaffected: where Model really is the relative path, the new
derivation reduces to the old one, which a regression spec pins.

This deliberately changes an invariant that router_dirstage_test.go
pinned: for a managed primary, ModelFile and ModelPath were both the
snapshot directory, and staging keys were relative to it. Now ModelFile
is the snapshot, ModelPath is the models root above it, and keys keep the
full relative path. That spec is updated rather than accommodated, with
the reasoning recorded inline, because the old invariant is exactly what
made a sibling companion unreachable.

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

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

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-19 12:01:36 +02:00
localai-org-maint-bot
09b85ee00e fix(ci): build Bonsai backend images (#10939) (#10951)
fix(ci): build Bonsai backend images

Register the Bonsai C++ source path with the backend matrix filter so changes select its image jobs. Also make shared llama.cpp changes rebuild the Bonsai and Turboquant fork images in the actual matrix, not only their test flags.\n\nAssisted-by: Codex:gpt-5 [Codex]

Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-07-19 11:49:07 +02:00
mudler's LocalAI [bot]
b19afb192a fix(distributed): backend discovery hid GPU-only backends behind the controller's capability (#10947)
* fix(backends): list backends runnable on worker nodes in distributed mode

GET /backends/available filtered the gallery against the system state of
the host serving the request. In a distributed deployment that host is the
controller, which typically has no GPU, while the GPUs live on worker
nodes. Any meta backend whose capabilities map lacks a "default" (or "cpu")
key was therefore dropped from the listing entirely — longcat-video,
vllm-omni, ltx-video, parakeet, edgetam and qwentts were invisible in the
UI even though installing them by name on a GPU worker worked fine.

Workers now report their own meta-backend capability at registration and
the controller persists it on the node row. The controller cannot derive
it: OS-dependent capabilities (metal, darwin-x86, nvidia-l4t) and the CUDA
runtime refinements are only observable on the worker. Nodes registered
before this field existed fall back to a coarse capability derived from
their GPU vendor and VRAM.

Backend discovery then evaluates compatibility as the union over healthy
backend nodes, so a backend runnable on any node is offered while one no
node can run stays hidden. Each remote capability is evaluated through a
capability-pinned system state, otherwise a forced capability on the
controller image (LOCALAI_FORCE_META_BACKEND_CAPABILITY or
/run/localai/capability) would silently override every worker's verdict.
With no registered nodes the listing is byte-for-byte what it was, so
single-node deployments are unaffected.

Also fixes the same-root-cause misclassification in /api/operations, which
used the capability-filtered listing to decide whether an operation was a
backend or a model install. A GPU-only backend installing on a worker is
still a backend operation on the controller, so that lookup is now
unfiltered.

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

* fix(backends): union worker capabilities in backend discovery

Implementation for the specs added in the previous commit, plus the two
remaining discovery endpoints.

Capability-filtered backend discovery evaluated compatibility against the
system state of the host serving the request. In a distributed deployment
that host is the controller, which typically has no GPU, while the GPUs
live on worker nodes. Any meta backend whose capabilities map lacks a
"default" (or "cpu") key was dropped entirely — longcat-video, vllm-omni,
ltx-video, parakeet, edgetam and qwentts were invisible in the UI even
though installing them by name on a GPU worker worked fine.

Workers now report their own meta-backend capability at registration and
the controller persists it on the node row. The controller cannot derive
it: OS-dependent capabilities (metal, darwin-x86, nvidia-l4t) and the CUDA
runtime refinements are only observable on the worker. Nodes registered
before this field existed fall back to a coarse capability derived from
their GPU vendor and VRAM.

Discovery then evaluates compatibility as the union over healthy backend
nodes, so a backend runnable on any node is offered while one no node can
run stays hidden. Each remote capability is evaluated through a
capability-pinned system state, otherwise a forced capability on the
controller image (LOCALAI_FORCE_META_BACKEND_CAPABILITY or
/run/localai/capability) would silently override every worker's verdict.
With no registered nodes the listing is byte-for-byte what it was, so
single-node deployments are unaffected.

Four surfaces shared this root cause and are all routed through the same
helper now:

  - GET /backends/available
  - GET /api/fine-tuning/backends
  - GET /api/quantization/backends
  - /api/operations backend-vs-model classification, which additionally
    had no reason to filter by capability at all: a GPU-only backend
    installing on a worker is still a backend operation on the
    controller, so that lookup is now unfiltered.

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

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-19 07:53:46 +00:00
mudler's LocalAI [bot]
963c637130 fix(gpu-libs): bundle cuDNN only where it is used, and complete it when it is (#10946)
cuDNN 9 is a dispatcher (libcudnn.so.9) plus seven sublibraries the dispatcher
dlopen()s by bare soname. Only the dispatcher is ever a DT_NEEDED, so ldd finds
it and never the seven. The allowlist force-copied three of them
(libcudnn.so*, libcudnn_ops.so*, libcudnn_cnn.so*) into every CUDA backend,
which is wrong in both directions at once: too few libraries for a backend that
uses cuDNN, and too many for one that does not.

On an L4T fleet, ten of the eleven backends carrying cuDNN were in a broken end
state; the one that was correct was correct by accident, being BUILD_TYPE=cpu
so package_cuda_libs never ran for it.

  longcat-video bundled 4 of 8 at 9.24.0 over a complete pip set at 9.20.0.48
  in its venv. libbackend.sh puts lib/ on LD_LIBRARY_PATH, searched before
  DT_RUNPATH, so the bundle won and the rest still came from the venv:
  CUDNN_STATUS_SUBLIBRARY_VERSION_MISMATCH.

  Nine others bundled 3 of 8 and had no venv cuDNN. None bundled
  libcudnn_graph, which libcudnn_cnn has a hard DT_NEEDED on, so it resolved
  out of the runtime image and the process ran bundled 9.22.0 against system
  9.23.2.

Five of those nine - llama-cpp, whisper, rfdetr-cpp, sam3-cpp,
stablediffusion-ggml - do not reference cuDNN at all. ggml goes through cuBLAS.
They were carrying ~57 MB of cuDNN with no consumer, and completing the family
for them would have taken that to ~576 MB for nothing.

Sizes overall: backends with no cuDNN consumer shed ~57 MB each (seven
instances on the fleet measured, plus longcat's ~60 MB), while the ones that
genuinely use cuDNN grow from ~57 MB to ~576 MB, because the five missing
sublibraries are ~517 MB, dominated by libcudnn_engines_precompiled. Net on
that fleet is an increase of roughly 570 MB. That growth is the bug being paid
off, not a regression: those backends only work today by silently borrowing the
missing five from the runtime image. Whether the engines set can be trimmed is
an open question, not addressed here.

So bundle per backend, by what that backend actually needs:

  - venv has a complete pip cuDNN -> bundle nothing; $ORIGIN resolves the pip
    set, which is the one its torch was built against            (longcat-video)
  - venv has no pip cuDNN         -> bundle the complete family. Stays
    conservative rather than detecting consumers: for a Python backend they sit
    inside the venv (torch, ctranslate2, onnxruntime) where the sweep does not
    look                                                                 (vllm)
  - no venv, nothing references cuDNN -> bundle nothing    (llama-cpp, whisper,
                                     rfdetr-cpp, sam3-cpp, stablediffusion-ggml)
  - no venv, something references it   -> bundle the complete family
                                                  (face-detect, voice-detect)

The no-venv case needs no new machinery. Go backends stage their own shared
object into package/lib, which IS the target dir, so sweep_transitive_deps
already pulls the dispatcher when it is a genuine dependency - that is exactly
how libcudnn_graph reached longcat. cuDNN simply comes off the force-copy list,
and complete_cudnn_family fills in the seven dlopen'd sublibraries around
whatever the sweep found. Detection is a string scan rather than ldd, so a
consumer that only dlopen()s cuDNN is seen too; over-matching costs an unused
library, under-matching costs a backend that cannot load.

Keeping bundled and pip versions in agreement instead is not viable: nothing
here pins nvidia-cudnn (zero occurrences), torch is unpinned for l4t13 except
longcat-video, and the fleet already runs five concurrent cuDNN versions -
9.19.0.56, 9.20.0.48, 9.22.0, 9.23.2, 9.24.0.

verify_cudnn_bundle asserts the end state: exactly one complete cuDNN visible to
whoever needs one - never both, never partial, and never zero for a backend that
references it. Zero is correct and common otherwise. It deliberately does not
accept the build image's system cuDNN as completing a partial bundle, which is
the shape that had been shipping silently; the build image is not the runtime
image. A version check alone would have missed longcat too, whose four bundled
libs were all 9.24.0 and mutually consistent.

Match per family for the other components for the same dlopen reason: TensorRT
(libnvinfer_plugin, libnvinfer_builder_resource), cuBLAS, cuFFT, cuSPARSE,
cuSOLVER, nvRTC. Exclusions bind inside copy_lib so they cover the sweep.

The packaging scripts' shell tests ran nowhere in CI. Add make
test-build-scripts and a lint workflow job so they gate every PR.

Fixes #10905


Assisted-by: Claude:claude-opus-4-8 golangci-lint shellcheck

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-19 07:48:51 +00:00
localai-org-maint-bot
71e98c13a3 fix(vllm): generate protobuf 6 compatible stubs (#10944)
Pin vLLM protogen to grpcio-tools 1.78.0 so its generated code remains importable by protobuf 6.33.x, and remove stale generated artifacts before regeneration.

Closes #10940

Assisted-by: Codex:gpt-5 [Codex]

Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-07-19 08:56:57 +02:00
mudler's LocalAI [bot]
10211948b5 chore(model gallery): 🤖 add 1 new models via gallery agent (#10942)
chore(model gallery): 🤖 add new models via gallery agent

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-19 08:45:41 +02:00
mudler's LocalAI [bot]
139470cca0 chore: ⬆️ Update ggml-org/llama.cpp to 571d0d540df04f25298d0e159e520d9fc62ed121 (#10935)
⬆️ Update ggml-org/llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-19 08:45:08 +02:00
mudler's LocalAI [bot]
078614c701 chore: ⬆️ Update CrispStrobe/CrispASR to 1e6f3ad962dc46d86422c3baa4f3c1110d037e4d (#10934)
⬆️ Update CrispStrobe/CrispASR

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-19 08:44:57 +02:00
mudler's LocalAI [bot]
c1efdbeb9e chore: ⬆️ Update leejet/stable-diffusion.cpp to ea4e566ccffa10f853ecc3f29e74b1820bc91beb (#10936)
⬆️ Update leejet/stable-diffusion.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-19 08:44:45 +02:00
mudler's LocalAI [bot]
7f72dc3412 chore: ⬆️ Update PrismML-Eng/llama.cpp to 9fcaed763ccda38ea81068ad9d7f991aaddca451 (#10937)
⬆️ Update PrismML-Eng/llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-19 08:44:27 +02:00
mudler's LocalAI [bot]
81c407bc40 chore(model-gallery): ⬆️ update checksum (#10938)
⬆️ Checksum updates in gallery/index.yaml

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-19 08:44:02 +02:00
Richard Palethorpe
9c43b2da8f fix(model): make backend shutdown model-scoped (#10865)
Avoid holding the global loader lock across backend lifecycle waits and propagate forced shutdown through distributed workers. Track parallel requests with in-flight counters and reserve worker ports until process termination.

Add focused race tests and an authoritative FizzBee lifecycle model with a fail-closed conformance target.

Assisted-by: Codex:GPT-5 [FizzBee] [Ginkgo]

Signed-off-by: Richard Palethorpe <io@richiejp.com>
2026-07-19 08:43:17 +02:00
mudler's LocalAI [bot]
27955e0a33 chore: ⬆️ Update ikawrakow/ik_llama.cpp to 9d07d8681ece159a89fb4e16a1f9c9f3a5fac20f (#10933)
⬆️ Update ikawrakow/ik_llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-19 00:43:49 +02:00
dependabot[bot]
036eccc32d chore(deps): bump actions/setup-node from 6 to 7 (#10915)
Bumps [actions/setup-node](https://github.com/actions/setup-node) from 6 to 7.
- [Release notes](https://github.com/actions/setup-node/releases)
- [Commits](https://github.com/actions/setup-node/compare/v6...v7)

---
updated-dependencies:
- dependency-name: actions/setup-node
  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>
2026-07-18 22:36:37 +02:00
dependabot[bot]
a15b23b775 chore(deps): bump torch from 2.12.1+xpu to 2.13.0+xpu in /backend/python/common/template (#10917)
chore(deps): bump torch in /backend/python/common/template

Bumps torch from 2.12.1+xpu to 2.13.0+xpu.

---
updated-dependencies:
- dependency-name: torch
  dependency-version: 2.13.0+xpu
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-07-18 22:36:16 +02:00
dependabot[bot]
a4a14c6263 chore(deps): bump grpcio from 1.80.0 to 1.82.1 in /backend/python/common/template (#10918)
chore(deps): bump grpcio in /backend/python/common/template

Bumps [grpcio](https://github.com/grpc/grpc) from 1.80.0 to 1.82.1.
- [Release notes](https://github.com/grpc/grpc/releases)
- [Commits](https://github.com/grpc/grpc/compare/v1.80.0...v1.82.1)

---
updated-dependencies:
- dependency-name: grpcio
  dependency-version: 1.82.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-07-18 22:35:55 +02:00
dependabot[bot]
00cbfc369b chore(deps): bump grpcio from 1.80.0 to 1.82.1 in /backend/python/rerankers (#10921)
chore(deps): bump grpcio in /backend/python/rerankers

Bumps [grpcio](https://github.com/grpc/grpc) from 1.80.0 to 1.82.1.
- [Release notes](https://github.com/grpc/grpc/releases)
- [Commits](https://github.com/grpc/grpc/compare/v1.80.0...v1.82.1)

---
updated-dependencies:
- dependency-name: grpcio
  dependency-version: 1.82.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-07-18 22:35:34 +02:00
dependabot[bot]
cee6780ea7 chore(deps): bump grpcio from 1.80.0 to 1.82.1 in /backend/python/coqui (#10922)
Bumps [grpcio](https://github.com/grpc/grpc) from 1.80.0 to 1.82.1.
- [Release notes](https://github.com/grpc/grpc/releases)
- [Commits](https://github.com/grpc/grpc/compare/v1.80.0...v1.82.1)

---
updated-dependencies:
- dependency-name: grpcio
  dependency-version: 1.82.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-07-18 22:35:17 +02:00
dependabot[bot]
79113c7f90 chore(deps): update transformers requirement from >=5.9.0 to >=5.14.1 in /backend/python/transformers (#10926)
chore(deps): update transformers requirement

Updates the requirements on [transformers](https://github.com/huggingface/transformers) to permit the latest version.
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](https://github.com/huggingface/transformers/compare/v5.9.0...v5.14.1)

---
updated-dependencies:
- dependency-name: transformers
  dependency-version: 5.14.1
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-07-18 22:35:01 +02:00
dependabot[bot]
e7520af5d7 chore(deps): bump grpcio from 1.81.0 to 1.82.1 in /backend/python/transformers (#10925)
chore(deps): bump grpcio in /backend/python/transformers

Bumps [grpcio](https://github.com/grpc/grpc) from 1.81.0 to 1.82.1.
- [Release notes](https://github.com/grpc/grpc/releases)
- [Commits](https://github.com/grpc/grpc/compare/v1.81.0...v1.82.1)

---
updated-dependencies:
- dependency-name: grpcio
  dependency-version: 1.82.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-07-18 22:34:29 +02:00
dependabot[bot]
a9456bbce9 chore(deps): bump sentence-transformers from 5.5.1 to 5.6.0 in /backend/python/transformers (#10927)
chore(deps): bump sentence-transformers in /backend/python/transformers

Bumps [sentence-transformers](https://github.com/huggingface/sentence-transformers) from 5.5.1 to 5.6.0.
- [Release notes](https://github.com/huggingface/sentence-transformers/releases)
- [Commits](https://github.com/huggingface/sentence-transformers/compare/v5.5.1...v5.6.0)

---
updated-dependencies:
- dependency-name: sentence-transformers
  dependency-version: 5.6.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-07-18 22:33:46 +02:00
dependabot[bot]
24c16c9bb5 chore(deps): bump vllm from 0.25.0 to 0.25.1 in /backend/python/vllm (#10929)
Bumps [vllm](https://github.com/vllm-project/vllm) from 0.25.0 to 0.25.1.
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](https://github.com/vllm-project/vllm/compare/v0.25.0...v0.25.1)

---
updated-dependencies:
- dependency-name: vllm
  dependency-version: 0.25.1
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-07-18 21:37:41 +02:00
localai-org-maint-bot
0389495388 fix(webui): use relative asset base so fonts and lazy chunks honor X-Forwarded-Prefix (#10889) (#10904)
The Vite build emitted path-absolute asset URLs (base: '/'). index.html
entry scripts and the favicon were rewritten to include the reverse-proxy
prefix in serveIndex, but two reference kinds are not in index.html and so
bypassed that rewrite:

  - CSS `url()` font references (e.g. Font Awesome .woff2), which the browser
    resolves relative to the stylesheet and which `<base href>` never affects
  - lazily-imported route chunks, whose preload base came from the absolute
    Vite base

Under a subpath mount (X-Forwarded-Prefix: /llm/) both were fetched from the
origin root, 404ing — missing-glyph "tofu" icons and broken lazy-loaded pages.

Switch Vite to a relative base ('./') so every generated URL resolves against
the file that references it: CSS fonts and route chunks now load from
`/llm/assets/...`, and index.html's now-relative entry refs resolve via the
`<base href>` serveIndex already injects on every response. Root deployments
are unaffected. The existing path-absolute rewrite in app.go still covers the
public `/favicon.svg`.


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-18 08:38:26 +02:00
dependabot[bot]
2f011094d9 chore(deps): bump torch from 2.8.0 to 2.12.1+xpu in /backend/python/common/template in the pip group across 1 directory (#10911)
chore(deps): bump torch

Bumps the pip group with 1 update in the /backend/python/common/template directory: torch.


Updates `torch` from 2.8.0 to 2.12.1+xpu

---
updated-dependencies:
- dependency-name: torch
  dependency-version: 2.12.1+xpu
  dependency-type: direct:production
  dependency-group: pip
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-07-18 08:37:03 +02:00
localai-org-maint-bot
bc653c9b09 ci(dependabot): ignore torch/transformers for diffusers to fix Jetson-index auth failure (#10913)
The weekly "Dependabot Updates" pip job for /backend/python/diffusers has been
failing with `private_source_authentication_failure` against the Jetson pip
index (https://pypi.jetson-ai-lab.io/jp6/cu129/), referenced by that backend's
requirements-l4t12.txt. diffusers is the only dependabot-configured pip
directory that pulls from that private index, so it is the only update job that
fails; the other backends update cleanly.

torch and transformers are deliberately pinned in this backend for
reproducibility (see backend/python/diffusers/requirements-*.txt and #9979), so
we do not want dependabot bumping them anyway. Ignoring both dependencies for
this directory stops dependabot from resolving them against the unreachable
Jetson index and keeps the weekly update job green, without removing update
coverage for the rest of the backend's dependencies.


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-18 08:36:23 +02:00
mudler's LocalAI [bot]
f9a2d9be32 chore: ⬆️ Update vllm-metal (darwin) to v0.3.0.dev20260717051959 (#10903)
⬆️ Update vllm-project/vllm-metal (darwin)

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-18 08:35:41 +02:00
mudler's LocalAI [bot]
f40e07d72e chore: ⬆️ Update CrispStrobe/CrispASR to c96281d6d409a7f97edbce62c12a6dd2f4da6a92 (#10900)
⬆️ Update CrispStrobe/CrispASR

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-18 08:35:28 +02:00
mudler's LocalAI [bot]
911fb754a6 chore: ⬆️ Update ggml-org/llama.cpp to 6bdd77f13cf11b264b4231d320afc404f48d576e (#10898)
⬆️ Update ggml-org/llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-18 08:35:15 +02:00
mudler's LocalAI [bot]
2dade4a9f9 fix(model-artifacts): gate inferred artifact materialization by backend (#10910)
The managed-artifact materializer stages a HuggingFace snapshot into a
directory (.artifacts/huggingface/<key>/snapshot/). That is the right load
target for directory-consuming backends (transformers, vLLM, diffusers, ...),
but PrimaryArtifactSpec inferred a managed artifact from ANY HuggingFace-shaped
model reference regardless of backend. A single-file backend such as llama.cpp
or whisper was therefore handed the snapshot directory instead of the weight
file and failed to load it.

The /import-model importer already guards this with a backend allow-list
(managedArtifactBackends), but the loader-side inference did not. Move the
allow-list into core/config as IsManagedArtifactBackend and apply it in
PrimaryArtifactSpec: only directory-consuming backends may have an artifact
inferred from a bare reference; every other backend stays on the legacy
download-to-file path. An explicit artifacts: block still bypasses the gate,
where single-file snapshot resolution handles the load path.

The importer now shares the same predicate, so both paths agree on which
backends auto-materialize.

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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-17 23:26:23 +00:00
mudler's LocalAI [bot]
c0a20d6ab1 chore: ⬆️ Update ServeurpersoCom/omnivoice.cpp to 73a88bf6323f7b9dfff8dde76b4fffcc2fd618ce (#10896)
⬆️ Update ServeurpersoCom/omnivoice.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-18 01:05:26 +02:00
mudler's LocalAI [bot]
78775c77d8 chore: ⬆️ Update mudler/parakeet.cpp to 1da853421de9710cbe894a0110711de5a0516486 (#10899)
⬆️ Update mudler/parakeet.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-18 01:05:14 +02:00
mudler's LocalAI [bot]
525af1df1b chore: ⬆️ Update ServeurpersoCom/qwentts.cpp to 95b4840ad3722b0b67acb945cd57682aae1ac9ca (#10902)
⬆️ Update ServeurpersoCom/qwentts.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-18 00:46:10 +02:00
localai-org-maint-bot
279f5b8a93 fix(model-artifacts): load single-file HF snapshots from the file, not the directory (#10909)
fix(model-artifacts): load single-file HF snapshots from the file, not the dir

The managed Hugging Face artifact materializer (#10825) always pointed
backends at the snapshot *directory*
(.artifacts/huggingface/<key>/snapshot). For a single-file model
reference such as huggingface://nomic-ai/nomic-embed-text-v1.5-GGUF/nomic-embed-text-v1.5.f16.gguf,
the GGUF lives *inside* that directory, so llama.cpp was handed a
directory and failed with "gguf_init_from_reader: failed to read magic".
This has kept the tests-aio job red on master since the feature merged
(the embeddings e2e tests could not load text-embedding-ada-002).

Record the single file of a one-file snapshot as Resolved.PrimaryFile and
have ModelFileName() resolve to snapshot/<PrimaryFile> when it is set.
Multi-file snapshots (e.g. transformers repos consumed as a directory)
keep pointing at the snapshot directory. PrimaryFile is derived from the
resolved contents and is deliberately excluded from the artifact cache
key. estimateModelSizeBytes now derives the snapshot directory from the
cache key instead of ModelFileName(), so its manifest lookup is unaffected
by the file-vs-directory resolution.


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-17 22:42:50 +00:00
mudler's LocalAI [bot]
9edb08ea94 chore: ⬆️ Update ikawrakow/ik_llama.cpp to fbcc743c70391e63fba74a16740f8157b469feeb (#10897)
⬆️ Update ikawrakow/ik_llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-18 00:13:02 +02:00
mudler's LocalAI [bot]
2ad3b5088b chore: ⬆️ Update PrismML-Eng/llama.cpp to 79697f23a2c8f3aa2ccb2fd7406095a8dbfbb454 (#10901)
⬆️ Update PrismML-Eng/llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-18 00:02:20 +02:00
mudler's LocalAI [bot]
a89d780707 fix(gallery): keep multi-file HF install progress proportional during verify (#10908)
The artifact progress bridge mapped every PhaseVerifying event to a flat
95%. The materializer emits PhaseVerifying once per file (from each file's
AfterDownload hook) and downloads run sequentially, so the first small file
to finish pinned the bar at 95% - and, because progress is monotonic, it
stayed at 95% for the entire remaining download (e.g. a 70GB checkpoint
reporting 95% at 410MB / 69.7GB).

Track per-file verify proportionally to the running aggregate bytes, the
same way downloading does. CurrentBytes already reflects "completed files +
this file", so the percentage advances honestly. The flat 95%/99% is now
reserved for the genuinely once-per-install Committing/Persisting phases.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-18 00:01:24 +02:00
mudler's LocalAI [bot]
55e2726958 chore(model-gallery): ⬆️ update checksum (#10906)
⬆️ Checksum updates in gallery/index.yaml

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-17 23:47:43 +02:00
localai-org-maint-bot
4be6e22b5f feat(webui): surface user, client IP and user agent in API traces (#10886, #10887) (#10907)
The Operate → Traces "API Traces" panel already recorded who made each
request (user_id/user_name) but never showed it, and did not capture the
caller's network identity at all. Operators asked to see the requesting
user (#10886) and the client IP + user agent (#10887) so a trace can be
attributed to who/what issued it.

Backend: add ClientIP and UserAgent to APIExchange and populate them from
echo's c.RealIP() (honours X-Forwarded-For / X-Real-IP behind a trusted
proxy) and the request's User-Agent header. Both are omitempty and the
/api/traces swagger response is map[string]any, so this is additive.

UI: add a sortable "User" column to the API traces table and a metadata
block (User / Client IP / User Agent) at the top of the expanded row
detail. Fields render only when present, so older buffered traces and
unauthenticated/local requests degrade cleanly.

Adds an e2e spec covering the new column value and the expanded metadata.


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-17 23:47:31 +02:00
localai-org-maint-bot
bf484c5181 feat(webui): show date alongside time in the Traces view (#10888) (#10905)
The Operate -> Traces table rendered the request time with the time of day
only, so entries that span more than one day were ambiguous. Add a
formatDateTime helper (localized date + existing time-with-millis) and use it
for the Traces "Time" column, keeping the cell on a single line. The shared
formatTimestamp used by the log views is unchanged.


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-17 23:47:10 +02:00
mudler's LocalAI [bot]
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>
2026-07-17 22:08:20 +02:00
futurehua
d3ea65a112 refactor: replace Split in loops with more efficient SplitSeq (#10879)
Signed-off-by: futurehua <futurehua@outlook.com>
2026-07-17 22:07:16 +02:00
mudler's LocalAI [bot]
4f592c8734 chore(model-gallery): ⬆️ update checksum (#10891)
⬆️ Checksum updates in gallery/index.yaml

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-17 20:06:32 +02:00
walcz-de
6ccb1130d8 fix(agent-ui): reset streamed text at generation boundaries in agent chat (#10664)
One agent turn runs several internal LLM generations (tool selection,
reasoning, final answer) that all emit stream_event deltas over the same
per-agent SSE channel. The chat page accumulated every 'content' delta
into a single live bubble and ignored the 'done' boundary events, so the
internal generations' text (e.g. the English tool-selection rationale)
merged with — and visually corrupted — the streamed final answer.

Reset the accumulated content/reasoning on 'done': each generation gets
a clean live bubble, and the authoritative full answer still arrives via
the final json_message event as before.

Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de>
2026-07-17 15:26:50 +02:00
LocalAI [bot]
3f8806b0b2 chore(model gallery): 🤖 add 1 new models via gallery agent (#10881)
chore(model gallery): 🤖 add new models via gallery agent

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-17 15:22:11 +02:00
LocalAI [bot]
14c7c04feb chore(model gallery): 🤖 add 1 new models via gallery agent (#10874)
chore(model gallery): 🤖 add new models via gallery agent

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-17 12:58:47 +02:00
LocalAI [bot]
ec933b837d chore(moss-transcribe-cpp): bump pin to CUDA K-quant embed fix (#10862) (#10878)
chore(moss-transcribe-cpp): bump pin to CUDA K-quant embed fix

Bumps the moss-transcribe.cpp pin to 190a569c, which merges the
host-side embed-lookup fallback for K-quant token_embd tensors
(localai-org/moss-transcribe.cpp#2).

Before this, running a q5_K/q4_K/q6_K moss-transcribe GGUF on CUDA
(or any non-CPU backend) aborted in getrows.cu with
"unsupported src0 type: q5_K" because ggml's GET_ROWS op has no
K-quant implementation on GPU, killing the backend process on the
first request. The engine now dequantizes the needed rows on the
host when the backend cannot run GET_ROWS for the tensor type,
producing bit-identical results.

Fixes #10862


Assisted-by: Claude:claude-opus-4-8 [Bash] [Edit]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-17 12:47:13 +02:00
LocalAI [bot]
cc26083423 chore: ⬆️ Update vllm-metal (darwin) to v0.3.0.dev20260716042225 (#10849)
⬆️ Update vllm-project/vllm-metal (darwin)

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-17 12:46:56 +02:00
Nicholas Ciechanowski
8aa8e0fac0 fix(distributed): setup script (#10551)
Assisted-by: OpenCode:GPT-5.5 [Read] [Edit]

Signed-off-by: Nicholas Ciechanowski <nicholas@ciech.anow.ski>
2026-07-17 10:14:19 +02:00
LocalAI [bot]
e9056399a7 feat(gallery): add MOSS-TTS-Local v1.5 models for the moss-tts-cpp backend (#10877)
Add the q8_0 (default) and f16 gallery entries for the moss-tts-cpp backend, each
pulling the MOSS-TTS-Local v1.5 GGUF plus the MOSS-Audio-Tokenizer-v2 codec and
the text tokenizer from mudler/MOSS-TTS-Local-Transformer-v1.5-GGUF. The backend
auto-discovers the codec and tokenizer siblings; output is 48 kHz stereo with
reference-audio voice cloning.

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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-17 10:02:01 +02:00
LocalAI [bot]
3bb0d1cb49 feat(backend): add moss-tts-cpp text-to-speech backend (#10860)
* feat(backend): add moss-tts-cpp text-to-speech backend

Add a Go + purego backend wrapping the moss-tts.cpp ggml port of the OpenMOSS
MOSS-TTS-Local v1.5 text-to-speech model (GPT-J local transformer decoded through
MOSS-Audio-Tokenizer-v2), producing 48 kHz stereo audio with optional
reference-audio voice cloning. Mirrors the qwen3-tts-cpp backend: dlopen the
static-ggml shared library, bind the moss-tts.cpp C-API via purego, and serve
the gRPC TTS method. A thin C shim holds the pipeline handle and copies engine
PCM into a Go-freeable buffer.

Wires the CI registration: backend-matrix.yml (CPU, CUDA 12/13, Intel SYCL
f16/f32, Vulkan, ROCm, NVIDIA L4T, plus Darwin metal), backend/index.yaml metas
and image entries pointing at mudler/MOSS-TTS-Local-Transformer-v1.5-GGUF, the
root Makefile build targets, and the changed-backends.js path mapping.

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

* docs: list the moss-tts-cpp backend among the LocalAI-maintained engines

Add moss-tts.cpp to the README "Backends built by us" table, the
Text-to-Speech compatibility table, and the reference-audio voice-cloning
backend list, so the new backend is documented alongside its peers.

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

* backend(moss-tts-cpp): pin moss-tts.cpp to the squashed single-commit release

moss-tts.cpp history was collapsed to a single commit; repoint MOSSTTS_CPP_VERSION
to ee722b8e9205ee9b1b1c398a4e87e4e393e9be41.

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

* backend(moss-tts-cpp): add the moss-tts-cpp-development gallery meta

The gallery had the -development image entries but no matching -development
meta anchor (as locate-anything-cpp and depth-anything-cpp have), so the master
build was not installable as a gallery backend. Add moss-tts-cpp-development
mirroring the production meta with the -development capability image names.

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

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-17 09:26:12 +02:00
LocalAI [bot]
0bd7a29f31 feat(gallery): add Gemma 4 llama.cpp MTP variants; fix gemmable-4-12b-mtp (#10876)
Google shipped the Gemma 4 MTP drafter heads and llama.cpp merged native
support in ggml-org/llama.cpp#23398. LocalAI's pinned llama.cpp already
carries it, and the config plumbing (draft_model + core/config/mtp.go)
was built for exactly this path, but no official Gemma 4 gallery entry
wired it up.

Add llama.cpp draft-mtp speculative-decoding variants for the dense
sizes, sourced from the unsloth QAT GGUF repos (target UD-Q4_K_XL +
mtp-*.gguf drafter + BF16 mmproj):

  - gemma-4-e2b-it-qat-mtp
  - gemma-4-e4b-it-qat-mtp
  - gemma-4-12b-it-qat-mtp
  - gemma-4-31b-it-qat-mtp

These replace the previously commented-out attempts, which were disabled
because the Janvitos/boxwrench drafter GGUFs declared the architecture as
`gemma4_assistant` (underscore) and failed to load on stock llama.cpp.
The unsloth drafters use the upstream `gemma4-assistant` (hyphen) spelling
that mtp.go's isDraftOnlyAssistantArch expects, so they load without any
backend patch. The 26B-A4B MoE is intentionally omitted (the upstream PR
reports no meaningful MTP speedup for it).

Also fix gemmable-4-12b-mtp: it loaded the draft-only `-mtp` GGUF as the
main model with no draft_model set, which cannot run standalone. It now
loads the target as the model, wires the drafter via draft_model, enables
spec_type:draft-mtp, and downloads both files.

All sha256 pins were taken from the HuggingFace API lfs.oid (reliable
content hash even for Xet-backed repos).


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-17 09:05:44 +02:00
Tai An
45b8047736 fix(p2p): serialize access to p2pCtx/p2pCancel (#10839) (#10861)
StopP2P() read and wrote a.p2pCtx/a.p2pCancel without holding
a.p2pMutex, and StartP2P() reassigned both fields with no lock at
all -- including when RestartP2P() calls it from a background
goroutine after releasing the mutex. Both paths are reachable from
POST /api/settings (empty p2p_token -> StopP2P, non-empty ->
RestartP2P), so concurrent requests race on the same fields.

Take a.p2pMutex in StopP2P and around the field publication in
StartP2P, factor the shared teardown into stopP2PLocked() so
RestartP2P reuses it, and route the goroutine error path through
StopP2P instead of touching a.p2pCancel unlocked.

Signed-off-by: Anai-Guo <antai12232931@anaiguo.com>
Co-authored-by: Anai-Guo <antai12232931@anaiguo.com>
2026-07-17 09:02:05 +02:00
LocalAI [bot]
fd0d1b946d chore: ⬆️ Update PrismML-Eng/llama.cpp to 62061f91088281e65071cc38c5f69ee95c39f14e (#10869)
⬆️ Update PrismML-Eng/llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-17 09:00:44 +02:00
LocalAI [bot]
6dfda9c4b6 chore: ⬆️ Update ggml-org/llama.cpp to e8f19cc0ad70a243c8012bf17b4be601abfc8ea2 (#10870)
⬆️ Update ggml-org/llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-17 09:00:30 +02:00
LocalAI [bot]
dffcbd7e5d chore(model-gallery): ⬆️ update checksum (#10871)
⬆️ Checksum updates in gallery/index.yaml

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-17 09:00:17 +02:00
LocalAI [bot]
7c542fb979 chore: ⬆️ Update leejet/stable-diffusion.cpp to b2906939774dc73453467215c80390404d0a2701 (#10872)
⬆️ Update leejet/stable-diffusion.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-17 09:00:02 +02:00
LocalAI [bot]
cbf232e5fe chore: ⬆️ Update CrispStrobe/CrispASR to a38cb89f7b9a743db2e8e50869fa646f91dc7f08 (#10873)
* ⬆️ Update CrispStrobe/CrispASR

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

* fix(crispasr): rewrite c2pa-audio submodule path for subproject builds

CrispASR a38cb89 adds a crispasr_c2pa_native static library whose sources
live in the new third_party/c2pa-audio git submodule, located via
CMAKE_SOURCE_DIR in src/CMakeLists.txt. That variable assumes CrispASR is
the top-level CMake project; LocalAI embeds it via add_subdirectory, so
the path resolved to backend/go/crispasr/third_party/c2pa-audio and every
build variant failed at CMake generate with 'Cannot find source file:
c2pa_native.cpp'.

Extend the existing talk-llama sed workaround to also rewrite the
c2pa-audio reference to PROJECT_SOURCE_DIR, which is correct both
standalone and as a subproject. The submodule itself is already checked
out by the recursive submodule init. Verified locally: the exact CI error
reproduces with CMAKE_SOURCE_DIR, and with the rewrite CMake configure,
crispasr_c2pa_native, and crispasr-lib all build cleanly on a CPU-only
fallback configuration.

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

---------

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-17 08:59:48 +02:00
LocalAI [bot]
1f53dff436 fix(turboquant,bonsai): do not apply vendored llama.cpp patches to fork trees (#10866)
The turboquant and bonsai backends copy backend/cpp/llama-cpp/ wholesale
into their build directories and reuse its Makefile/prepare.sh against
their own llama.cpp forks. When PR #10837 added
backend/cpp/llama-cpp/patches/0001-add-minimax-m3-support.patch, the
copied patches/ directory was mis-applied to the fork checkouts: the
fork trees diverge from upstream, hunks rejected, and because the
patch-apply loop in prepare.sh ran before set -e took effect the build
kept going and died much later with a confusing compile error
("'LLM_ARCH_MINIMAX_M3' was not declared in this scope"). This broke
tests-turboquant-grpc on that PR.

Two hardening changes:

- turboquant/bonsai Makefiles: delete the copied patches/ directory
  right after the cp -rf of backend/cpp/llama-cpp/. Patches vendored
  for upstream llama.cpp must never be applied to the forks; each fork
  carries its own patch series under backend/cpp/<backend>/patches/,
  applied by its apply-patches.sh.

- llama-cpp prepare.sh: run the patch-apply loop under set -e so a
  rejecting patch fails fast and loudly at apply time instead of
  surfacing as a downstream compile error. A missing or empty patches/
  directory remains a no-op success, so all existing callers (the
  llama-cpp Makefile targets and the turboquant/bonsai copies) are
  unaffected when no patches ship.

Exposed by PR #10837.


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-17 00:28:10 +02:00
LocalAI [bot]
c1a891662c refactor(settings): single declarative registry for runtime settings (fixes the #10845 bug class) (#10864)
* feat(settings): add declarative runtime-settings field registry

One fieldSpec row per RuntimeSettings field, with a reflection
completeness spec so a field added without a registry row is a red
test instead of a silently-dropped setting (the #10845 bug class).

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude Code:claude-fable-5

* refactor(settings): drive ToRuntimeSettings/ApplyRuntimeSettings from the field registry

Behavior-preserving: ~350 hand-written per-field lines become two loops
over runtimeSettingsFields, gated by a To->Apply->To round-trip spec.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude Code:claude-fable-5

* feat(settings): baseline-driven startup merge for persisted runtime settings

ApplyRuntimeSettingsAtStartup compares the live config against
DefaultRuntimeBaseline (option-less-run defaults incl. kong-injected
flag defaults) instead of per-field == 0 guards. Fixes persisted
lru_eviction_max_retries, tracing_max_items, agent_job_retention_days,
memory_reclaimer_threshold, galleries and autoload flags being
silently ignored at boot.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude Code:claude-fable-5

* fix(settings): registry-driven startup merge, applied before consumers

loadRuntimeSettingsFromFile becomes a thin wrapper over
ApplyRuntimeSettingsAtStartup and runs at the top of New(), before
model configs capture app-level defaults. WithThreads stops eagerly
resolving 0 so a persisted thread count survives restart while
LOCALAI_THREADS still wins (#10845); the physical-core fallback moves
after the merge.

Also: run.go now injects the memory-reclaimer threshold unconditionally
so the option-less boot matches DefaultRuntimeBaseline and a UI-saved
threshold survives restart.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude Code:claude-fable-5

* refactor(settings): file watcher delegates to the registry merge; shared API-key merge

Manual edits to runtime_settings.json now behave like a boot-time load
(env still wins) instead of the inverted diverged-from-startup guard
that ignored most manual edits. MergeAPIKeys dedups env keys in one
place for the endpoint and the watcher.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude Code:claude-fable-5

* docs(settings): document unified runtime-settings precedence

Document the single env/CLI > runtime_settings.json > defaults rule,
applied identically at boot, on POST /api/settings, and on manual file
edits, plus the two known limitations (default-valued env vars are
indistinguishable from unset; API-changed fields hot-apply on the next
restart only). Also add a completion debug log when the watcher applies
runtime_settings.json.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude Code:claude-fable-5

* test(settings): reset the global VRAM cap leaked by the round-trip spec

The round-trip spec applies vram_budget=12GiB, whose post-loop hook
installs a process-global default cap; without a reset every spec
ordered after it runs under that phantom budget. Also drop a stale
enumeration in the ApplyRuntimeSettings doc comment.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude Code:claude-fable-5

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-16 22:39:59 +02:00
pos-ei-don
06b4a29387 docs(config): document grpc.attempts timing + tuning guidance (#10868)
The gRPC configuration table only listed the two fields with a one-line
description each, without defaults, without explaining what the total
load window looks like, and without hinting when a user should adjust
them. In practice the default 20 attempts x 2 s = 40 s window is way
too tight for large NVFP4 / FP8 models on slow storage or first-run
CUDA-graph capture, and the resulting kill (exitCode=120, 'context
canceled') looks like a backend crash even though the backend is still
making legitimate forward progress.

Extend the section with:
- Defaults column (20 and 2) added to the table
- Prose explaining that these govern the readiness handshake between
  LocalAI and a freshly spawned backend (Health polling loop)
- Total-load-window formula
- Concrete failure signature so users can recognize a timeout-kill
  vs. a real backend crash
- Example configuration for a ~10 min cold-load window (grpc.attempts
  140, attempts_sleep_time 5), with a note that inference-timeouts and
  the watchdog are unaffected.
2026-07-16 22:18:47 +02:00
pos-ei-don
e62221b020 fix(sglang): implement Status RPC to unblock backend-monitor polling (#10867)
The sglang Python backend inherits the default Status RPC from
backend_pb2_grpc.BackendServicer, which raises NotImplementedError.
LocalAI's backend-monitor polls /backend.Backend/Status periodically on
every registered backend; when the call fails, /backend/monitor returns
HTTP 500 and downstream inference requests to the sglang backend are
blocked even though the model is loaded and answering directly via the
gRPC endpoint.

Add a minimal Status shim that mirrors the existing Health method and
returns StatusResponse{state=READY} unconditionally. This unblocks the
monitor path; a state-aware follow-up (UNINITIALIZED during load, BUSY
under active inference) is left for a subsequent change.

Reproduced on DGX Spark (GB10, arm64-l4t-cuda-13 image) with the sglang
v0.5.15 backend and Qwen3-Coder-Next-NVFP4-GB10; verified locally that
patching the shim in place immediately restores /backend/monitor and
inference across the sglang slot.
2026-07-16 22:18:12 +02:00
Tai An
dc2cc4da43 fix(audio-transform): serialize WebSocket writes to avoid concurrent-write panic (#10857)
* fix(audio-transform): serialize WebSocket writes to avoid concurrent-write panic

AudioTransformStreamEndpoint writes to the same Gorilla WebSocket connection
from two goroutines: the backend-forwarding goroutine emits binary PCM frames
(and can call sendWSError on a backend recv error), while the read loop calls
sendWSError for malformed mid-stream JSON or a backend send failure. Gorilla
WebSocket permits only one concurrent writer, so these writers race and can
panic with "concurrent write to websocket connection", resetting the client
session; a -race build reports the data race directly.

Wrap the connection in a lockedConn that serializes WriteMessage behind a
mutex, mirroring the existing lockedConn used by the openresponses WebSocket
endpoint. Reads stay on the single read loop, so only writes need the lock.

Fixes #10844

Signed-off-by: Tai An <antai12232931@outlook.com>

* chore: empty commit to re-trigger checks

Signed-off-by: Anai-Guo <antai12232931@anaiguo.com>

---------

Signed-off-by: Tai An <antai12232931@outlook.com>
Signed-off-by: Anai-Guo <antai12232931@anaiguo.com>
Co-authored-by: Anai-Guo <antai12232931@anaiguo.com>
2026-07-16 16:25:31 +01:00
Nandana Dileep
ab7b58fc85 fix(watchdog): force-kill stuck-busy backends instead of deadlocking the loader (#10578)
When the watchdog's busy-killer decides a backend has been busy past the
busy timeout, it shuts it down via ModelLoader.ShutdownModel -> deleteProcess,
which grabs ml.mu and then waits for IsBusy() to clear BEFORE stopping the
process. But a backend that exceeds the busy timeout is, by definition,
stuck on an in-flight gRPC call, so the graceful wait never returns, ml.mu
is held forever, and every other ml.Load blocks — including the shared
opus backend load at the start of every realtime (WebRTC) session. New
realtime connections then hang at "Connected, waiting for session..."
whenever the watchdog is enabled, while logs repeatedly print the
watchdog's busy / "active connection" line.

Fix: add a force shutdown path (ShutdownModelForce / deleteProcess(s,
force=true)) that stops the process FIRST — dropping the stuck call's
gRPC connection and unblocking it — instead of waiting on it. Route the
watchdog's busy-killer and busy LRU / group / memory evictions through
the force path; keep the graceful wait for idle and user-initulated
unloads. Graceful/unforced kills are unchanged.

Regression test: the watchdog busy-killer uses ShutdownModelForce.

Fixes #10391


Assisted-by: opencode:glm-5.2 [opencode]

Signed-off-by: Nandana Dileep <110280757+nandanadileep@users.noreply.github.com>
2026-07-16 12:36:23 +00:00
LocalAI [bot]
bcdb8debfe chore: ⬆️ Update ServeurpersoCom/qwentts.cpp to 9e11ce41b90a2238ca1ec09e0c71fcc913544f2a (#10850)
⬆️ Update ServeurpersoCom/qwentts.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-16 10:10:55 +02:00
LocalAI [bot]
bbe018c1a0 feat(bonsai): PrismML llama.cpp fork backend + Bonsai/Ternary-Bonsai gallery models (#10834)
feat(bonsai): add PrismML llama.cpp fork backend + Bonsai gallery models

Adds a new `bonsai` backend that runs the PrismML fork of llama.cpp
(github.com/PrismML-Eng/llama.cpp, `prism` branch), which ships the Q1_0
(1-bit) and Q2_0 (ternary / 1.58-bit) weight-quantization kernels used by the
Bonsai and Ternary-Bonsai models. Stock llama.cpp cannot decode these quants.

Modeled on the turboquant backend: reuses backend/cpp/llama-cpp/grpc-server.cpp
against the fork's libllama via a thin wrapper Makefile, so the sub-2-bit models
are served with the same OpenAI-compatible API. No grpc-server allow-list patch
is needed (bonsai adds weight quants, transparent to the server, not KV-cache
types), and the reused server compiles cleanly against the fork with no skew
patches (validated locally via a CPU docker build; patches/ is present but empty
for any future re-pin skew).

Backend wiring: backend/cpp/bonsai/, .docker/bonsai-compile.sh,
backend/Dockerfile.bonsai, top-level Makefile targets, backend-matrix.yml build
rows (CPU, CUDA 12/13, L4T, SYCL f32/f16, Vulkan, ROCm/hipblas), backend/index.yaml
meta-backend + per-platform images, and a nightly bump_deps entry tracking the
`prism` branch.

Gallery: 8 entries across 4 families - bonsai-8b-1bit, ternary-bonsai-8b (+g64,
+pq2), bonsai-27b-1bit (vision), ternary-bonsai-27b (+pq2, +g64, vision). The 27B
models wire the mmproj vision tower; the DSpark speculative drafter GGUFs are not
wired (custom semi-autoregressive drafter, not a standard llama.cpp draft model).


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-16 10:09:14 +02:00
LocalAI [bot]
3880812ed6 chore: ⬆️ Update CrispStrobe/CrispASR to 5b38179a4a3281fcdba4220ff285f32e80df43a8 (#10851)
⬆️ Update CrispStrobe/CrispASR

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-16 10:02:09 +02:00
Tai An
808312b4b9 fix(watchdog): guard StopWatchdog with watchdogMutex to prevent double close (#10841) (#10859)
fix(watchdog): guard StopWatchdog with watchdogMutex to prevent double close

StopWatchdog checked, closed and cleared a.watchdogStop without holding
a.watchdogMutex, while startWatchdog and RestartWatchdog reassign and close the
same channel under that lock.

POST /api/settings dispatches to StopWatchdog or RestartWatchdog depending on
ApplicationConfig.WatchdogShouldRun(), so both are reachable concurrently. Two
callers can observe a non-nil watchdogStop and both close it, which panics with
'close of closed channel' and takes the server down.

Take the mutex, matching the other two writers. StopWatchdog is only called from
the settings handler, which holds no lock, so this cannot deadlock.

Fixes #10841

Co-authored-by: Anai Guo <antai12232931@anaiguo.com>
2026-07-16 09:40:29 +02:00
LocalAI [bot]
6a985d13ea chore: ⬆️ Update ikawrakow/ik_llama.cpp to 1fddd12ba861c4815a8633f14d9c5670692099cc (#10762)
⬆️ Update ikawrakow/ik_llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-16 09:06:24 +02:00
Tai An
5fe48e4910 fix(backend): don't crash the whole process on an invalid cutstrings/extract_regex (#10855)
Finetune() compiled every model cutstrings/extract_regex entry via regexp.Compile
and called xlog.Fatal on failure, which terminates the entire local-ai process.
A single model config with an invalid regex (e.g. cutstrings: ["("]) turns one
/v1/chat/completions request into a process-level denial of service.

Log the compile error and skip the offending pattern instead. The mutex is
released before continuing, and skipping avoids dereferencing the nil regexp
that removing the fatal would otherwise leave behind.

Fixes #10843

Signed-off-by: Tai An <antai12232931@outlook.com>
2026-07-16 08:54:35 +02:00
LocalAI [bot]
ff8774327f feat(swagger): update swagger (#10847)
Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-16 08:53:02 +02:00
Tai An
688f904a10 fix(runtime-settings): apply persisted threads/context_size/f16 at startup (#10853)
ApplyRuntimeSettings persists the performance settings (threads,
context_size, f16) on the live /api/settings path, but the startup
loader loadRuntimeSettingsFromFile never read them back, so a value
saved via the Middleware UI was silently ignored on the next restart:
the model booted with the CLI/physical-core default and GET /api/settings
echoed that default instead of the saved value (#10845).

Threads needs special handling: unlike context_size/f16, WithThreads
eagerly resolves an unset (0) value to xsysinfo.CPUPhysicalCores() at
option-apply time, so options.Threads is never 0 in the loader and the
usual "== default" heuristic cannot tell an env/CLI value from the
physical-core fallback. Detect LOCALAI_THREADS/THREADS explicitly so the
env still wins over the persisted file value.

Signed-off-by: Anai-Guo <Anai-Guo@users.noreply.github.com>
Co-authored-by: Anai-Guo <Anai-Guo@users.noreply.github.com>
2026-07-16 08:52:11 +02:00
LocalAI [bot]
8c9b3b2e33 chore(model-gallery): ⬆️ update checksum (#10854)
⬆️ Checksum updates in gallery/index.yaml

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-16 08:41:35 +02:00
LocalAI [bot]
e488884b20 chore: ⬆️ Update ggml-org/llama.cpp to 505b1ed15ca80e2a19f12ff4ac365e40fb374053 (#10848)
⬆️ Update ggml-org/llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-16 08:36:59 +02:00
LocalAI [bot]
e062179d4d chore: ⬆️ Update ServeurpersoCom/omnivoice.cpp to 11c67198db58f75bf1bafc9051c2b018aaf1a3da (#10852)
⬆️ Update ServeurpersoCom/omnivoice.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-16 08:36:41 +02:00
Richard Palethorpe
b9d6d49e31 fix(cloud-proxy): publish backend gallery entries (#10858)
Add stable and development gallery variants for Linux and Darwin, and wire the backend build matrix so the referenced images are published.

Assisted-by: Codex:gpt-5 [yq]

Signed-off-by: Richard Palethorpe <io@richiejp.com>
2026-07-16 08:36:23 +02:00
LocalAI [bot]
a23fcc90c3 feat(gallery): add Qwen3.5-4B DFlash speculative-decoding model (#10842)
Pairs unsloth/Qwen3.5-4B-GGUF (Q4_K_M target) with the
AtomicChat/Qwen3.5-4B-DFlash-GGUF Q8_0 drafter (quantized from
z-lab/Qwen3.5-4B-DFlash, upstream GGUF arch `dflash`), same shape as
the existing DFlash entries.

Assisted-by: Claude Code:claude-fable-5 [Bash] [Read] [Edit]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-15 15:45:27 +02:00
LocalAI [bot]
d19c9875ed chore: ⬆️ Update ggml-org/llama.cpp to 00fa7cb284cbf133fc426733bd64238a3588a33e (#10814)
⬆️ Update ggml-org/llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-15 09:59:46 +02:00
LocalAI [bot]
8cec22c3b7 feat(vram): per-node VRAM allocation budget (LOCALAI_VRAM_BUDGET) (#10833)
* feat(vram): add vrambudget primitive for per-node VRAM caps

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

* feat(vram): apply default VRAM budget in xsysinfo aggregate getters

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

* feat(vram): wire LOCALAI_VRAM_BUDGET flag to xsysinfo default budget

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

* feat(vram): persist VRAM budget via runtime settings with live apply

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

* test(vram): reset process-global VRAM budget after runtime-settings spec

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

* feat(vram): add VRAM budget field to Settings page

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

* feat(vram): store and enforce per-node VRAM budget in the node registry

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

* feat(vram): apply per-node VRAM budget in router hardware defaults

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

* feat(vram): report worker VRAM budget in node registration

The distributed worker now reports its operator-set VRAM budget string
(LOCALAI_VRAM_BUDGET) to the server on registration. The worker keeps
reporting RAW total/available VRAM and never sets the xsysinfo
process-global budget (that stays standalone-only); the server resolves
and enforces the budget uniformly (Task 6).

Also closes a Task 6 gap: on re-registration, a struct Updates zero-skips
an empty budget, so a worker that dropped LOCALAI_VRAM_BUDGET left the
stale cap in place. For non-admin-override nodes the budget columns are
now force-written (map Updates) even when empty, so removing the env var
clears the cap; admin overrides are preserved unchanged.

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

* style(vram): drop em dash from worker-clear comment

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

* feat(vram): add node VRAM budget admin endpoints

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

* feat(vram): add node VRAM budget control to the node UI

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

* feat(vram): expose set_node_vram_budget MCP admin tool

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

* docs(vram): document LOCALAI_VRAM_BUDGET and node VRAM budget UI

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

* fix(vram): avoid double-applying VRAM budget in GetResourceAggregateInfo

The GPU-branch aggregate returned by GetResourceInfo is sourced from
GetGPUAggregateInfo, which already caps total/free/used against the
process-wide VRAM budget. GetResourceAggregateInfo then applied the
budget a second time. For an absolute budget this is idempotent, but for
a percentage budget b.Apply resolves the ceiling as a fraction of its
input total, so a second pass yields P*(P*T) instead of P*T and distorts
UsagePercent (read by the memory reclaimer in pkg/model/watchdog.go).

Remove the redundant second application so the budget is applied exactly
once, against the raw physical totals, upstream in GetGPUAggregateInfo.

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

* fix(vram): implement SetNodeVRAMBudget on mcp assistant test stub

The LocalAIClient interface gained SetNodeVRAMBudget; the stubClient in
core/http/endpoints/mcp used by the assistant tests is a separate
implementer and needs the method too (broke golangci-lint typecheck and
both test jobs).

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

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-15 09:58:45 +02:00
LocalAI [bot]
3601174ce0 fix(distributed): make per-node backend upgrade actually upgrade (#10838)
* test(core/http): make the suite's HTTP port overridable

app_test.go and openresponses_test.go hardcoded 127.0.0.1:9090. When
another service already listens on 9090 the suite does not fail fast:
the server goroutine logs the bind error and the specs then poll
whatever is squatting the port until Eventually times out. On machines
where 9090 is permanently taken this makes the pre-commit coverage gate
impossible to pass.

Introduce testHTTPAddr, defaulting to 127.0.0.1:9090 (what CI has
always used) and overridable via LOCALAI_TEST_HTTP_PORT for local runs.

Assisted-by: Claude:claude-fable-5 golangci-lint
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix(distributed): make per-node backend upgrade actually upgrade

The node detail page's Upgrade button reused the node-scoped install
path (POST /api/nodes/:id/backends/install). That fires NATS
backend.install with force=false, and the worker's install handler is
deliberately "ensure installed": when the backend binary already exists
on disk it short-circuits without touching the gallery. Since only an
installed backend can be upgraded, the whole chain was a guaranteed
successful no-op - the UI then toasted "backend upgraded" without even
waiting for the async job.

Route upgrades through the real force-reinstall path instead:

- BackendManager.UpgradeBackend now receives the ManagementOp (like
  InstallBackend already did) so implementations can honor
  op.TargetNodeID.
- DistributedBackendManager.UpgradeBackend scopes the backend.upgrade
  fan-out to op.TargetNodeID when set, and errors when the target node
  does not report the backend as installed.
- New POST /api/nodes/:id/backends/upgrade endpoint enqueues an
  Upgrade=true node-scoped op (async 202 + jobID, mirroring install).
- NodeDetail UI calls the new endpoint and reports the dispatch
  ("Upgrading ... on this node...") instead of claiming success; the
  Operations panel tracks the actual job.

Verified against a live local cluster (NATS + Postgres + two workers):
the target worker stops the running process, force-reinstalls from the
gallery and re-downloads the OCI image; the second worker receives no
backend.upgrade event; upgrading a backend missing from the target node
fails the job with a clear error.

Assisted-by: Claude:claude-fable-5 golangci-lint
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-15 09:16:55 +02:00
LocalAI [bot]
40763d1181 chore: ⬆️ Update ServeurpersoCom/qwentts.cpp to 7bb91886f613f4f54407604f4284e5b6ecd2acdf (#10832)
⬆️ Update ServeurpersoCom/qwentts.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-15 09:02:14 +02:00
LocalAI [bot]
afbed9d49b chore: ⬆️ Update ServeurpersoCom/omnivoice.cpp to 98a5d5fb43268fb85c637ac0a29ed67cc6a1f7d9 (#10830)
⬆️ Update ServeurpersoCom/omnivoice.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-15 01:09:46 +02:00
LocalAI [bot]
bcc41219f7 feat: materialize Hugging Face model artifacts (#10825)
* feat(config): add model artifact source contract

Assisted-by: Codex:GPT-5 [Codex]

* feat(downloader): add authenticated raw-byte progress

Assisted-by: Codex:GPT-5 [Codex]

* feat(huggingface): resolve immutable snapshot manifests

Assisted-by: Codex:GPT-5 [Codex]

* feat(models): add artifact storage primitives

Assisted-by: Codex:GPT-5 [Codex]

* feat(models): materialize pinned Hugging Face snapshots

Assisted-by: Codex:GPT-5 [Codex]

* feat(models): bind managed snapshots at runtime

Assisted-by: Codex:GPT-5 [Codex]

* feat(gallery): materialize model artifacts during install

Assisted-by: Codex:GPT-5 [Codex]

* feat(gallery): declare managed Hugging Face artifacts

Assisted-by: Codex:GPT-5 [Codex]

* feat(models): preload managed model artifacts

Assisted-by: Codex:GPT-5 [Codex]

* fix(gallery): retain shared artifact caches on delete

Assisted-by: Codex:GPT-5 [Codex]

* feat(models): report artifact acquisition progress

Assisted-by: Codex:GPT-5 [Codex]

* refactor(backends): load managed models from ModelFile

Assisted-by: Codex:GPT-5 [Codex]

* refactor(backends): load staged speech model snapshots

Assisted-by: Codex:GPT-5 [Codex]

* refactor(backends): use staged snapshots in engine backends

Assisted-by: Codex:GPT-5 [Codex]

* test(distributed): cover staged artifact snapshots

Assisted-by: Codex:GPT-5 [Codex]

* docs: explain managed model artifacts

Assisted-by: Codex:GPT-5 [Codex]

* docs: add product design context

Assisted-by: Codex:GPT-5 [Codex]

* feat(ui): show model artifact download progress

Assisted-by: Codex:GPT-5 [Codex]

* Eagerly materialize Hugging Face artifacts

Materialize HF-backed model references as managed GGUF artifacts during load, with lazy download retained only as fallback.

Assisted-by: Codex:GPT-5 [shell]

* Refactor HF
  downloads through a shared executor

Assisted-by: Codex:GPT-5 [shell]

* drop

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

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-15 01:09:33 +02:00
LocalAI [bot]
d82c38ee77 chore: ⬆️ Update leejet/stable-diffusion.cpp to a8a91b24cdf18a3e415d7f2a28f69b5be8a17700 (#10828)
⬆️ Update leejet/stable-diffusion.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-15 01:09:18 +02:00
LocalAI [bot]
64124f3fa1 chore: ⬆️ Update CrispStrobe/CrispASR to 40d508096bb52850862edafc9741da509c5ede97 (#10829)
⬆️ Update CrispStrobe/CrispASR

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-15 00:53:17 +02:00
LocalAI [bot]
88cc80ee3d chore(model-gallery): ⬆️ update checksum (#10831)
⬆️ Checksum updates in gallery/index.yaml

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-14 23:53:45 +02:00
LocalAI [bot]
bed5e7417c docs: ⬆️ update docs version mudler/LocalAI (#10826)
⬆️ Update docs version mudler/LocalAI

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-14 23:53:28 +02:00
LocalAI [bot]
ba1d0f5507 chore: ⬆️ Update vllm-project/vllm cu130 wheel to 0.25.1 (#10827)
⬆️ Update vllm-project/vllm cu130 wheel

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-14 23:53:16 +02:00
LocalAI [bot]
2bed6f65ba fix(kokoro): pin compatible Intel XPU runtime (#10823)
PyTorch 2.13 XPU pulls oneAPI 2026 libraries that conflict with the oneAPI 2025.3 backend image. Pin torch and torchaudio to the matching 2.11 XPU pair so the build resolves a coherent 2025.3 runtime.

Assisted-by: Codex:GPT-5 [uv]

Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-14 18:58:13 +02:00
LocalAI [bot]
b224c96db6 fix(config): only inject llama.cpp serving options on the llama.cpp path (#10822)
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>
2026-07-14 17:46:15 +02:00
LocalAI [bot]
9f14571397 chore(model-gallery): ⬆️ update checksum (#10816)
⬆️ Checksum updates in gallery/index.yaml

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-14 11:25:00 +02:00
Ijas
a5aa56db81 fix: preserve uploaded file content when regenerating a non-last answer (#10819)
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>
2026-07-14 11:24:42 +02:00
LocalAI [bot]
05b8d8aafe chore: ⬆️ Update ServeurpersoCom/omnivoice.cpp to bbdf4be03aa5bc3c188b5db778b6f3fd63ceff6c (#10794)
⬆️ Update ServeurpersoCom/omnivoice.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-14 08:38:20 +02:00
LocalAI [bot]
3c1e583985 chore: ⬆️ Update CrispStrobe/CrispASR to d76cce027e3b183fc3d8c72e976e69d11f71bc8b (#10813)
⬆️ Update CrispStrobe/CrispASR

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-14 08:38:05 +02:00
LocalAI [bot]
2609848d80 chore: ⬆️ Update vllm-metal (darwin) to v0.3.0.dev20260713103604 (#10812)
⬆️ Update vllm-project/vllm-metal (darwin)

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-14 08:36:49 +02:00
dependabot[bot]
cdb6702ca6 chore(deps): bump actions/stale from 10.3.0 to 10.4.0 (#10807)
Bumps [actions/stale](https://github.com/actions/stale) from 10.3.0 to 10.4.0.
- [Release notes](https://github.com/actions/stale/releases)
- [Changelog](https://github.com/actions/stale/blob/main/CHANGELOG.md)
- [Commits](eb5cf3af3a...1e223db275)

---
updated-dependencies:
- dependency-name: actions/stale
  dependency-version: 10.4.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-07-13 22:50:01 +02:00
dependabot[bot]
0d8bea0158 chore(deps): update charset-normalizer requirement from >=3.4.7 to >=3.4.9 in /backend/python/vllm (#10809)
chore(deps): update charset-normalizer requirement

Updates the requirements on [charset-normalizer](https://github.com/jawah/charset_normalizer) to permit the latest version.
- [Release notes](https://github.com/jawah/charset_normalizer/releases)
- [Changelog](https://github.com/jawah/charset_normalizer/blob/master/CHANGELOG.md)
- [Commits](https://github.com/jawah/charset_normalizer/compare/3.4.7...3.4.9)

---
updated-dependencies:
- dependency-name: charset-normalizer
  dependency-version: 3.4.9
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-07-13 22:49:44 +02:00
dependabot[bot]
0b0f52bedc chore(deps): bump grpcio from 1.81.1 to 1.82.1 in /backend/python/vllm (#10808)
Bumps [grpcio](https://github.com/grpc/grpc) from 1.81.1 to 1.82.1.
- [Release notes](https://github.com/grpc/grpc/releases)
- [Commits](https://github.com/grpc/grpc/compare/v1.81.1...v1.82.1)

---
updated-dependencies:
- dependency-name: grpcio
  dependency-version: 1.82.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-07-13 22:49:28 +02:00
dependabot[bot]
48b1ab28b7 chore(deps): bump vllm from 0.24.0 to 0.25.0 in /backend/python/vllm (#10811)
Bumps [vllm](https://github.com/vllm-project/vllm) from 0.24.0 to 0.25.0.
- [Release notes](https://github.com/vllm-project/vllm/releases)
- [Changelog](https://github.com/vllm-project/vllm/blob/main/RELEASE.md)
- [Commits](https://github.com/vllm-project/vllm/compare/v0.24.0...v0.25.0)

---
updated-dependencies:
- dependency-name: vllm
  dependency-version: 0.25.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-07-13 22:48:35 +02:00
Dedy F. Setyawan
b10e330590 feat(react-ui): localize MediaHistory, AudioTransform, and Sound components (#10802)
- 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>
2026-07-13 11:51:23 +00:00
LocalAI [bot]
4056283aa4 [voice] feat: add managed voice cloning profiles (#10799)
* 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>
2026-07-13 09:54:46 +02:00
LocalAI [bot]
b90e1cae73 chore: ⬆️ Update ggml-org/llama.cpp to 6b4dc2116a92c5c8f2782bfe51fabe5ee66fb5ef (#10797)
⬆️ Update ggml-org/llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-13 09:05:44 +02:00
LocalAI [bot]
c43ee40eb7 chore: ⬆️ Update CrispStrobe/CrispASR to 841281c46ce5b34323b2861ae5714c09aaa2542e (#10795)
⬆️ Update CrispStrobe/CrispASR

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-13 01:10:16 +02:00
LocalAI [bot]
659b9f02e0 chore: ⬆️ Update vllm-metal (darwin) to v0.3.0.dev20260711221406 (#10796)
⬆️ Update vllm-project/vllm-metal (darwin)

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-13 01:10:03 +02:00
LocalAI [bot]
67c14e1b7e chore(model-gallery): ⬆️ update checksum (#10798)
⬆️ Checksum updates in gallery/index.yaml

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-13 01:09:13 +02:00
LocalAI [bot]
0e6241a5aa chore: ⬆️ Update ServeurpersoCom/qwentts.cpp to d17c33d4ee2f56d15f9ca8a1bb82f7389305f838 (#10793)
⬆️ Update ServeurpersoCom/qwentts.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-13 01:09:03 +02:00
LocalAI [bot]
b00422e45f feat(backends): add LongCat video and avatar generation (#10792)
* 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>
2026-07-12 23:58:46 +02:00
LocalAI [bot]
af8f74cba2 chore: ⬆️ Update CrispStrobe/CrispASR to 4beda42f63bf5c813c1e1bb55249efb36f918c80 (#10784)
⬆️ Update CrispStrobe/CrispASR

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-12 11:27:12 +02:00
LocalAI [bot]
cdd9582653 chore: ⬆️ Update ServeurpersoCom/omnivoice.cpp to bfc447c47a592698b539e0b819b1a4e3c91c4730 (#10786)
⬆️ Update ServeurpersoCom/omnivoice.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-12 11:14:22 +02:00
LocalAI [bot]
fb0f5e4bdd feat(gallery): add Qwen DFlash speculative-decoding models (#10791)
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>
2026-07-12 11:14:06 +02:00
LocalAI [bot]
5013d53a1c chore: ⬆️ Update ggml-org/llama.cpp to e3546c7948e3af463d0b401e6421d5a4c2faf565 (#10787)
⬆️ Update ggml-org/llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-12 10:07:58 +02:00
LocalAI [bot]
e8d8f5b0b8 chore: ⬆️ Update ggml-org/whisper.cpp to 080bbbe85230f624f0b52127f1ae1218247989f9 (#10785)
⬆️ Update ggml-org/whisper.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-12 10:07:45 +02:00
LocalAI [bot]
459ffb3054 chore: ⬆️ Update leejet/stable-diffusion.cpp to b5d812008eb7082a238fc589444544b3278187ae (#10774)
⬆️ Update leejet/stable-diffusion.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-12 10:07:34 +02:00
LocalAI [bot]
cad07be2fc chore(model-gallery): ⬆️ update checksum (#10789)
⬆️ Checksum updates in gallery/index.yaml

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-11 23:41:48 +02:00
hogeheer499-commits
2634b13a5d fix(ds4): bundle transitive runtime dependencies (#10783)
Bundle the resolved dependency closure for grpc-server and ds4-worker, then validate that packaged dependencies resolve only from package/lib.

Assisted-by: Codex:gpt-5 shellcheck

Signed-off-by: JS van Dijk <267467744+hogeheer499-commits@users.noreply.github.com>
Co-authored-by: JS van Dijk <267467744+hogeheer499-commits@users.noreply.github.com>
2026-07-11 23:41:27 +02:00
LocalAI [bot]
8786eace97 chore: ⬆️ Update vllm-project/vllm cu130 wheel to 0.25.0 (#10788)
⬆️ Update vllm-project/vllm cu130 wheel

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-11 23:39:51 +02:00
Ettore Di Giacinto
a1cefe862d Rename voxtral.c to voxtral-tts.c in README
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
2026-07-11 16:24:44 +02:00
LocalAI [bot]
50cd897719 docs: refresh LocalAI homepage (#10780)
* 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>
2026-07-11 09:33:41 +02:00
LocalAI [bot]
8ff3c8c466 chore: ⬆️ Update ServeurpersoCom/qwentts.cpp to bb250f57e48d7dbaff8f66b8125c42a14ddabbe7 (#10759)
⬆️ Update ServeurpersoCom/qwentts.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-11 09:17:48 +02:00
Richard Palethorpe
1f9fda7138 fix(backends): refuse foreign model loads in opus and local-store (#10769)
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>
2026-07-11 09:17:34 +02:00
LocalAI [bot]
23a044ee0b chore: ⬆️ Update vllm-metal (darwin) to v0.3.0.dev20260710141421 (#10775)
⬆️ Update vllm-project/vllm-metal (darwin)

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-11 09:16:12 +02:00
LocalAI [bot]
921a8ffc8b chore: ⬆️ Update mudler/moss-transcribe.cpp to 92a923dca88a41a34e47a364d55ee25731a9a0a2 (#10771)
⬆️ Update mudler/moss-transcribe.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-11 09:15:58 +02:00
LocalAI [bot]
a8f1c92a24 chore: ⬆️ Update CrispStrobe/CrispASR to 74efaf24d457e34cd200d138f9724987e7ececc3 (#10773)
⬆️ Update CrispStrobe/CrispASR

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-11 09:15:45 +02:00
LocalAI [bot]
6084497da1 chore: ⬆️ Update ggml-org/llama.cpp to 4f37f519722aa3242eecb7649466b4a4a2d6d6da (#10772)
⬆️ Update ggml-org/llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-11 09:15:32 +02:00
LocalAI [bot]
2482f075a2 chore: ⬆️ Update ggml-org/whisper.cpp to 7695a5331230c585f5ce92291c4256973985ae5a (#10776)
⬆️ Update ggml-org/whisper.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-11 09:14:19 +02:00
LocalAI [bot]
9b4f373bc4 chore(model-gallery): ⬆️ update checksum (#10778)
⬆️ Checksum updates in gallery/index.yaml

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-11 09:14:06 +02:00
LocalAI [bot]
185956154a chore: ⬆️ Update ServeurpersoCom/omnivoice.cpp to b297bc36d5e54ac37263fc8f2766e96179bf1e8a (#10761)
⬆️ Update ServeurpersoCom/omnivoice.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-10 10:43:11 +02:00
LocalAI [bot]
d3d5488dc7 chore: ⬆️ Update vllm-metal (darwin) to v0.3.0.dev20260708043308 (#10760)
⬆️ Update vllm-project/vllm-metal (darwin)

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-10 10:42:56 +02:00
LocalAI [bot]
ae58115ee6 chore: ⬆️ Update leejet/stable-diffusion.cpp to cc734292286f85f9c48305d94d7fd22f42838522 (#10738)
⬆️ Update leejet/stable-diffusion.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-10 10:42:42 +02:00
LocalAI [bot]
c7a9db29a6 chore: ⬆️ Update CrispStrobe/CrispASR to aa23c61c8ba483f539fa669708ea7ddbba72f293 (#10758)
⬆️ Update CrispStrobe/CrispASR

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-10 10:42:26 +02:00
LocalAI [bot]
c46a224b44 chore: ⬆️ Update ggml-org/llama.cpp to 049326a00025d00b08cc188ed716b681e984a3f8 (#10757)
⬆️ Update ggml-org/llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-10 10:42:12 +02:00
LocalAI [bot]
7e8542ba32 fix(tests): make e2e backend model downloads resumable and stall-based (#10766)
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>
2026-07-10 09:19:17 +02:00
LocalAI [bot]
3c2d85aae4 feat(vibevoice-cpp): true streaming TTS (TTSStream via vv_capi_tts_stream) (#10764)
* 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>
2026-07-09 23:48:44 +00:00
LocalAI [bot]
6ceb2f86a7 chore(model-gallery): ⬆️ update checksum (#10763)
⬆️ Checksum updates in gallery/index.yaml

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-10 00:41:19 +02:00
LocalAI [bot]
c5b36639d4 chore(model gallery): 🤖 add 1 new models via gallery agent (#10755)
chore(model gallery): 🤖 add new models via gallery agent

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-09 23:28:44 +02:00
LocalAI [bot]
94bdc825dc feat(backend): add moss-transcribe-cpp backend (MOSS-Transcribe-Diarize) (#10756)
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>
2026-07-09 23:27:11 +02:00
Dedy F. Setyawan
294487eb61 fix(ui): prevent table container from breaking flexbox layout (#10754)
Signed-off-by: Dedy F. Setyawan <dedyfajars@gmail.com>
2026-07-09 23:21:07 +02:00
Ettore Di Giacinto
fa3e139540 docs(readme): add face-detect.cpp, voice-detect.cpp and free-splatter.cpp to native engines list
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-09 11:51:28 +00:00
LocalAI [bot]
35024338a6 feat(crispasr): add F5-TTS support and gallery model (#10753)
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>
2026-07-09 08:09:00 +00:00
LocalAI [bot]
b987f39de8 feat(swagger): update swagger (#10745)
Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-09 09:35:22 +02:00
LocalAI [bot]
16d028a127 chore: ⬆️ Update ServeurpersoCom/omnivoice.cpp to e03824a9f874fe648b8f26bf293703af60afe936 (#10715)
⬆️ Update ServeurpersoCom/omnivoice.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-09 09:05:40 +02:00
LocalAI [bot]
70e15679cd chore: ⬆️ Update ggml-org/llama.cpp to a646006f09d2f76f2d62d6c0d5e8e8490d570720 (#10747)
⬆️ Update ggml-org/llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-09 09:03:51 +02:00
LocalAI [bot]
5569b2de56 feat(config): context_size: -1 to auto-use model's full trained context (#10752)
* feat(config): clamp negative context_size to default in EffectiveContextSize

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

* feat(config): resolve context_size=-1 to model trained max with VRAM warn

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

* fix(config): treat negative context_size as unset when GGUF is unparseable

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

* docs(config): document context_size=-1 auto-max

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

* docs(backend): drop em dashes from EffectiveContextSize comment

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

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-09 09:03:40 +02:00
LocalAI [bot]
c9f73f40ff chore: ⬆️ Update CrispStrobe/CrispASR to 278fb7927633d47fa0aeb6f81491b9952ed17c35 (#10737)
⬆️ Update CrispStrobe/CrispASR

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-09 01:13:06 +02:00
LocalAI [bot]
4cd3dbe931 chore: ⬆️ Update ikawrakow/ik_llama.cpp to 6198a356a85ed71534c02a9c1026203389f341e5 (#10746)
⬆️ Update ikawrakow/ik_llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-09 01:12:48 +02:00
LocalAI [bot]
1a04b670f4 chore: ⬆️ Update ServeurpersoCom/qwentts.cpp to e93b3fedd53504c29c1c1a9bed4fbe722bbb1df5 (#10748)
⬆️ Update ServeurpersoCom/qwentts.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-09 01:12:35 +02:00
LocalAI [bot]
e948f27965 chore(model-gallery): ⬆️ update checksum (#10749)
⬆️ Checksum updates in gallery/index.yaml

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-09 01:12:22 +02:00
LocalAI [bot]
40dae953f4 feat: interleaved thinking with tool calls (reasoning_content alias + Anthropic thinking blocks) (#10744)
* feat(schema): accept reasoning_content as inbound alias for reasoning

Interleaved-thinking clients (cogito, vLLM/DeepSeek-style) emit reasoning_content
on assistant turns. Accept it as an inbound alias so reasoning survives the
tool-result loop; canonical reasoning wins when both are present. Emission is
unchanged (still reasoning).

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

* test(schema): pin interleaved reasoning+tool_calls round-trip

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

* test(openai): pin reachedTokenBudget truncation detection

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

* feat(anthropic): add thinking and signature fields to content blocks

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

* feat(anthropic): parse inbound thinking blocks into reasoning

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

* feat(anthropic): emit thinking blocks with synthetic signature on tool turns

Extract buildAnthropicContentBlocks so non-streaming content assembly is
unit-testable, and prepend a thinking block (with an opaque synthetic
signature) before text/tool_use blocks when the request opts into thinking.

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

* feat(anthropic): stream thinking_delta and signature_delta before tool_use

Extract anthropicStreamSequence so the streaming block order is unit-testable,
and emit content_block_start(thinking) -> thinking_delta -> signature_delta ->
content_block_stop before the tool_use block sequence when thinking is enabled.

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

* docs: add interleaved thinking with tool calls guide

Add a features guide describing interleaved thinking: an assistant turn
carrying reasoning and tool_calls together, the reasoning-round-trip
contract (including the reasoning_content inbound alias and Anthropic
thinking blocks with a synthetic signature), per-backend enablement
(reasoning_format for llama.cpp, reasoning_parser/tool_call_parser for
vLLM/SGLang plus the vLLM auto-config hook), a worked request/response
example, and known limitations. Cross-link from model-configuration,
text-generation, and openai-functions.

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

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-08 16:45:43 +00:00
LocalAI [bot]
8671c8adac chore(model gallery): 🤖 add 1 new models via gallery agent (#10743)
chore(model gallery): 🤖 add new models via gallery agent

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-08 17:43:02 +02:00
LocalAI [bot]
d5d659bb65 fix(backends): pin grpcio-tools to installed grpcio in runProtogen (protobuf gencode mismatch) (#10735)
fix(backends): pin grpcio-tools to the installed grpcio in runProtogen

runProtogen installed grpcio-tools unpinned, so the protoc it bundles
stamped backend_pb2.py with the newest Protobuf gencode (7.35.0). When a
backend caps the protobuf runtime lower -- vLLM pins protobuf to 6.33.6 --
the import-time guarantee runtime >= gencode fails:

  google.protobuf.runtime_version.VersionError: Detected incompatible
  Protobuf Gencode/Runtime versions ... gencode 7.35.0 runtime 6.33.6

The backend crashes on `import backend_pb2` before it can serve, which
surfaces to the user as "grpc service not ready". It was mis-reported as a
ROCm/gfx1201 failure in #10718 but is not GPU-specific and affects every
vLLM variant (and any backend that caps protobuf below the latest gencode).

Pin grpcio-tools to the grpcio version the backend already installed --
they release in lockstep -- so the generated gencode stays in step with
the protobuf runtime. Falls back to unpinned when grpcio isn't present.

Closes #10718


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-08 15:24:42 +02:00
LocalAI [bot]
a0ed395cf9 fix(auth): accept EC/PS/EdDSA-signed OIDC ID tokens, not just RS256 (#10736)
The OIDC verifier was built with a bare oidc.Config{ClientID: ...}, so
go-oidc applied its default of accepting RS256-signed ID tokens only. An
identity provider configured with an EC signing key (e.g. Authentik) issues
ES256-signed tokens, and the callback failed verification with:

  failed to verify ID token: oidc: malformed jwt: unexpected signature
  algorithm "HS256"; expected ["RS256"]

surfacing to the user as HTTP 500 "failed to fetch user info" (#10677; the
underlying cause became visible after the logging fix in #10679).

Set SupportedSigningAlgs to the standard asymmetric algorithms
(RS256/384/512, ES256/384/512, PS256/384/512, EdDSA). All are verified
against the provider's published JWKS. HS256 is intentionally excluded: it
is symmetric and would validate against the client secret, a different and
security-sensitive trust model.

Tested with a functional spec that signs an ES256 ID token and confirms it
verifies with the configured algorithms and is rejected under go-oidc's
RS256-only default (using oidc.StaticKeySet, no network).

Closes #10677


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-08 15:24:29 +02:00
LocalAI [bot]
40c29db8c4 fix(logs): capture backend logs by default in single mode (#10742)
Backend log capture into the per-model BackendLogStore (which feeds the
UI "Backend Logs" page and /api/backend-logs) was opt-in and off by
default in single mode, while worker/distributed mode force-enables it
via SetBackendLoggingEnabled(true). There was no CLI flag either, so the
only way to populate the store was the Settings UI toggle - and the page
was silently empty out of the box. Distributed "just worked"; single
mode looked broken.

Default EnableBackendLogging to true in NewApplicationConfig so single
mode matches worker mode. The store is a small in-memory ring buffer, so
the cost is negligible.

Now that the default is on, loadRuntimeSettingsFromFile's usual
"only flip false->true" merge would ignore a persisted false and revert
the UI toggle-off on every restart. There is no env var/CLI flag for
this setting, so an explicit persisted value is now authoritative in
both directions, letting the toggle-off survive a restart.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-08 12:13:52 +00:00
LocalAI [bot]
0aaf7cce76 chore: ⬆️ Update ikawrakow/ik_llama.cpp to 5c2552b6e820cc791ba9cfa6ffdfd98002b4cd82 (#10732)
⬆️ Update ikawrakow/ik_llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-08 08:50:00 +02:00
LocalAI [bot]
731bf04668 chore: ⬆️ Update vllm-metal (darwin) to v0.3.0.dev20260707023344 (#10733)
⬆️ Update vllm-project/vllm-metal (darwin)

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-08 08:49:48 +02:00
LocalAI [bot]
d829e818d0 chore: ⬆️ Update ggml-org/llama.cpp to bec4772f6a2527d371557b5d2032641e5ff7619c (#10739)
⬆️ Update ggml-org/llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-08 08:49:34 +02:00
github-actions[bot]
0ae84be362 chore: bump inference defaults from unsloth (#10741)
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-08 08:49:22 +02:00
LocalAI [bot]
d521608e6d chore: ⬆️ Update mudler/locate-anything.cpp to ade2634f7f79b56121125e5885628744795a478f (#10734)
⬆️ Update mudler/locate-anything.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-07 22:03:16 +00:00
LocalAI [bot]
7dde5a4225 fix(diffusers,vllm-omni,tinygrad): save generated images as PNG explicitly (#10729)
The image backends call PIL Image.save(request.dst) without a format, so
Pillow infers the encoder from the file extension. The core passes an
absolute staging path ending in .tmp (e.g. /staging/localai-output-*.tmp),
which Pillow can't map to a format, raising "unknown file extension: .tmp"
and crashing the worker right after a successful GPU inference.

Pass format="PNG" explicitly. LocalAI serves generated images as PNG
regardless of the temporary path, so this is always correct and no longer
depends on the extension of the destination the core happens to allocate.

diffusers is the reported backend (#10727); vllm-omni and tinygrad carry
the identical latent crash for any .tmp staging destination.

Closes #10727


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-07 21:24:58 +00:00
LocalAI [bot]
cd65a1f645 fix(transcription): honor model-config language/translate + OpenAI language form field (#10731)
fix(transcription): honor model-config language/translate, add language form field

The /v1/audio/transcriptions endpoint read only input.Language /
input.Translate from the parsed request, and the request middleware never
populates those from a multipart upload -- nor did it read a `language`
form field. As a result the model config's parameters.language /
parameters.translate (a valid PredictionOptions field under `parameters:`)
were silently ignored, and multilingual models like canary defaulted to
translating into English even when the YAML set language: ru,
translate: false (#10655).

Resolve both with clear precedence: the request form field wins, then any
language on the parsed request, then the model config default. This also
makes the endpoint honor OpenAI's `language` form parameter, which was
not read before.

Applies to both the streaming and non-streaming paths (the resolved
values are built into the shared TranscriptionRequest). Note this ensures
the language/translate flags reach the backend; whether a given engine
acts on them is up to the backend.

Closes #10655


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-07 21:16:25 +00:00
LocalAI [bot]
97175f4b5a feat(model): debounce model loads after a failure to stop retry-storms (#10728)
A client that keeps polling a model whose load fails (e.g. a backend that
crashes deterministically on init) triggered a fresh backend start on
every request: request -> load -> crash in ~10s -> 500, repeat on the
next poll. Each attempt could leak GPU/CUDA state, and under
LOCALAI_SINGLE_ACTIVE_BACKEND it kept stealing the active slot from
healthy models. The existing loading-coalesce map only dedups
*concurrent* loads, so sequential polls were never covered.

Track load failures per modelID in ModelLoader. After a load fails,
refuse fresh load triggers for that model until a cooldown elapses,
returning a typed ModelLoadCooldownError that the HTTP layer maps to 503
with a Retry-After header. The cooldown grows exponentially per
consecutive failure (base, doubling, capped at 5m) and resets on a
successful load. The coalesced follower-retry of an in-flight burst
bypasses the gate, so a genuinely concurrent burst still gets its one
retry -- only new, independent triggers are refused, matching the
report's "refuse new load-triggers" wording.

Configurable via --model-load-failure-cooldown /
LOCALAI_MODEL_LOAD_FAILURE_COOLDOWN (default 10s, 0 disables), plumbed
through ApplicationConfig and applied unconditionally at startup.

Closes #10719


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-07 20:55:24 +00:00
LocalAI [bot]
1d5139f0a0 fix(gallery): make backend (re)install a clean replace instead of an overlay (#10726)
InstallBackend extracted the artifact directly into the target directory
with no pre-clean, so a reinstall overlaid the new files onto the old
ones. Files present in a previous version but absent in the new artifact
(a stale .so, an orphaned package dir) survived and could shadow the new
build at import time -- e.g. an old vllm shared object lingering next to
a freshly pulled one. Only a failed download cleaned the directory.

Stage the download/extraction into a `<name>.install-tmp` dir, validate
run.sh is present, write metadata, then atomically swap it into place
(rename current -> .install-backup, staging -> current, drop backup),
rolling back on failure. This mirrors the atomic swap UpgradeBackend
already performs, so install and upgrade now leave identical on-disk
state with no orphaned files.

Reported as part of #10720.


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-07 20:23:13 +00:00
LocalAI [bot]
8565febe45 fix(vllm): pin L4T arm64 backend to vllm==0.24.0 for GB10 stability (#10725)
The nvidia-l4t-cuda-13-arm64 vLLM backend left `vllm` unpinned, so the
prebuilt image drifted onto whatever aarch64 wheel was latest at build
time (0.23.x). On GB10 / DGX Spark (Grace Blackwell, unified memory),
0.23 crashes deterministically during cold model loads with an empty
"Engine core initialization failed" set and pins GPU memory until a host
reboot.

vLLM 0.24.0 carries vllm-project/vllm#45179 ("release cached device
memory under pressure on UMA GPUs during weight loading"), which the
reporter verified fixes the crash on GB10. Pin the L4T requirements to
0.24.0 to match the already-pinned cublas13 build
(requirements-cublas13-after.txt) and keep the image deterministic.

Editing this file also re-triggers the single-arch L4T image build via
the path filter, republishing the gallery image with 0.24.0 (the
single-arch matrix builds again after #10703).

Closes #10722


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-07 20:18:23 +00:00
Roman Mazurenko
a3fdfbc0d1 feat(llama-cpp): add device selection option (#10724)
Allow llama.cpp model configs to select the backend devices used for offload, matching upstream --device behavior so users can exclude a display or debug GPU.

Signed-off-by: rvmzes <rvmzes@rvmzess-MacBook-Pro.local>
Co-authored-by: rvmzes <rvmzes@rvmzess-MacBook-Pro.local>
2026-07-07 20:09:05 +00:00
Tai An
2f33cc7bc4 fix(vram): report largest GGUF quant instead of whole HF repo for gallery size (#10700) (#10707)
* fix(vram): report largest GGUF quant, not whole repo, for HF gallery size (#10700)

Signed-off-by: Tai An <antai12232931@outlook.com>

* test(vram): cover multi-GGUF quant repo size estimation (#10700)

Signed-off-by: Tai An <antai12232931@outlook.com>

---------

Signed-off-by: Tai An <antai12232931@outlook.com>
Co-authored-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
2026-07-07 11:50:27 +00:00
LocalAI [bot]
22225217e0 docs: ⬆️ update docs version mudler/LocalAI (#10709)
⬆️ Update docs version mudler/LocalAI

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-07 08:55:01 +02:00
LocalAI [bot]
c1fd12a506 chore: ⬆️ Update ggml-org/llama.cpp to f36e5c348bc8795c34f9a038e58876e7a8423d4d (#10710)
⬆️ Update ggml-org/llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-07 08:54:33 +02:00
LocalAI [bot]
d01b2c4f46 chore: ⬆️ Update ServeurpersoCom/qwentts.cpp to 0725d2e53b7d2749a99ff33d3a460b954ffa7805 (#10711)
⬆️ Update ServeurpersoCom/qwentts.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-07 08:41:46 +02:00
LocalAI [bot]
fb9ff061f1 chore: ⬆️ Update vllm-metal (darwin) to v0.3.0.dev20260706123649 (#10712)
⬆️ Update vllm-project/vllm-metal (darwin)

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-07 08:41:34 +02:00
LocalAI [bot]
40f847745e chore: ⬆️ Update ikawrakow/ik_llama.cpp to a8cf53fd69bada5450bd653eb0e32d1113fbd7fe (#10713)
⬆️ Update ikawrakow/ik_llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-07 08:41:21 +02:00
LocalAI [bot]
ba9327b9f8 chore: ⬆️ Update CrispStrobe/CrispASR to 0a7643f1006c6bf2d1f37f5c63e9726f5eb4f364 (#10716)
⬆️ Update CrispStrobe/CrispASR

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-07 08:41:00 +02:00
LocalAI [bot]
fd467c5b3b chore: ⬆️ Update leejet/stable-diffusion.cpp to bb84971129d2a094ab8051c6feed5406d3b4409d (#10684)
* ⬆️ Update leejet/stable-diffusion.cpp

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

* fix(stablediffusion-ggml): pass chroma knobs via model_args after upstream API change

Upstream stable-diffusion.cpp bb849711 removed the dedicated
chroma_use_dit_mask / chroma_use_t5_mask / chroma_t5_mask_pad fields from
sd_ctx_params_t and now reads them from the generic model_args key=value
spec (parse_key_value_args). Assigning the old struct members broke the
gosd.cpp build. Emit the three options into model_args instead so the
existing chroma controls keep working. Verified by building
libgosd-fallback.so against the pinned upstream commit.

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

---------

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-06 23:57:50 +00:00
dependabot[bot]
fa0622604a chore(deps): bump actions/cache from 4 to 6 (#10704)
Bumps [actions/cache](https://github.com/actions/cache) from 4 to 6.
- [Release notes](https://github.com/actions/cache/releases)
- [Changelog](https://github.com/actions/cache/blob/main/RELEASES.md)
- [Commits](https://github.com/actions/cache/compare/v4...v6)

---
updated-dependencies:
- dependency-name: actions/cache
  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>
2026-07-06 21:39:37 +02:00
Dennis Huang
ff5758113b chore(model gallery): add MiniCPM series models (#10699)
Add 9 MiniCPM models to the gallery:
- MiniCPM-V 4.6 (1.3B multimodal, edge-optimized)
- MiniCPM-V 4.6 Thinking (1.3B multimodal with reasoning)
- MiniCPM-V 4 (multimodal)
- MiniCPM-o 4.5 (8B omni-modal, vision+speech)
- MiniCPM-o 2.6 (7.6B omni-modal)
- MiniCPM5-1B (text)
- MiniCPM4.1-8B (text)
- MiniCPM4-8B (text)
- MiniCPM3-4B (text)

All sha256 checksums sourced from HuggingFace LFS metadata.

Signed-off-by: Dennis Huang <huangsiyuan20060408@hotmail.com>
2026-07-06 21:39:12 +02:00
LocalAI [bot]
29db4ab414 fix(ci): shard single-arch backend matrix under GitHub's 256-job limit (#10703)
GitHub Actions refuses to instantiate a matrix that would generate more
than 256 jobs. It does so silently: the job hangs forever at "Waiting for
pending jobs" and the whole run is marked `failure` while every other job
stays green. This is exactly what happened on the v4.6.1 tag build
(run 28786533892): the single-arch build matrix had grown to 268 entries,
so `backend-jobs-singlearch` (and its downstream merge) never produced a
single job, and the release build "failed" with no failing job to point at.

The single-arch list is the one that grows unbounded as backends are added,
so shard it across a fixed number of matrix jobs (SINGLEARCH_SHARDS=4,
~67 entries each today, headroom to ~1020 backends). Each merge shard
`needs:` only its matching build shard, preserving the "merge waits only on
its own build" property that keeps slow CUDA/ROCm builds from gating
multi-arch manifest assembly.

changed-backends.js now emits per-shard matrix/has-* outputs and throws
loudly if a shard ever reaches the 256 limit (telling the maintainer to
bump SINGLEARCH_SHARDS and add matching job blocks) instead of letting
GitHub drop the overflow silently. backend.yml and backend_pr.yml define
the four build + four merge shard jobs; multi-arch and darwin groups are
untouched.


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-06 21:38:12 +02:00
weifanglab
a6cf67cc6b refactor: use slices.Contains to simplify code (#10702)
Signed-off-by: weifanglab <weifanglab@outlook.com>
2026-07-06 19:33:28 +02:00
LocalAI [bot]
85f5267ed2 fix(llama-cpp): cap single-pass embedding batch to fit VRAM (#10695)
* fix(llama-cpp): cap single-pass embedding batch to fit VRAM

Embedding/score/rerank all decode or pool the whole input in one physical
batch, so EffectiveBatchSize sized the batch to the full context window. For
a large context that makes n_ubatch huge, and the per-device CUDA compute
buffer (forward-graph scratch, ~n_ubatch * n_ctx, NOT split across GPUs)
balloons into multi-GiB: a large-context embedding model then aborts on load
(exitCode=-1) even with plenty of free VRAM. Reproduced with qwen3-embedding-4b
(context 40960 -> n_batch 40960 -> abort) and qwen3-embedding-0.6b
(n_batch 8192); pinning batch:512 avoided it.

This is the same root cause as issue #10485 (a large context turns the batch
into multi-GiB of scratch that must fit on a SINGLE card), but the single-pass
path bypassed the VRAM headroom guard the config layer already had — it
returned the unbounded context as the batch with no GPU awareness.

Make the single-pass batch VRAM-aware: cap it to the largest batch whose
compute buffer fits the per-device VRAM headroom, clamped to
[DefaultPhysicalBatch, ctx], reusing the existing computeBufferBytesPerCell and
headroom-divisor math (no duplication). Unknown per-device VRAM (0) stays
conservative (DefaultPhysicalBatch, not the context) so a detection gap can't
OOM. The GPU is resolved through an injectable package var (config.LocalGPU,
backed by sync.Once-cached xsysinfo detection) so the per-request router call
stays cheap and tests inject a deterministic device. Explicit batch: still
wins. An input longer than the cap can no longer be pooled in one pass — the
accepted tradeoff, since a batch that OOMs the device processes nothing.

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

* fix(config): single-pass batch follows context on unknown VRAM

The single-pass (embedding/score/rerank) batch cap must only shrink the batch
when the per-device VRAM ceiling is KNOWN. On unknown VRAM (CPU-only or a GPU
detection gap) SinglePassBatchForContext returned DefaultPhysicalBatch, which
under-sized the batch below the context — over-trimming score/embed/rerank
inputs (the modelTokenTrim middleware regression) with no OOM benefit on CPU
where the compute buffer lives in system RAM. Return the full context instead,
preserving the original single-pass behavior; the VRAM cap stays a downward
safety that only engages when VRAM is known.

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

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-06 12:56:09 +02:00
LocalAI [bot]
ed3b59baf1 fix(config): cap auto-derived context to fit VRAM (#10696)
When a model is imported without an explicit context_size, the GGUF
importer defaulted the model's context to its full trained window
(n_ctx_train). For long-context models (128k / 256k / 1M) that KV cache
cannot fit a consumer GPU, so the backend aborts on load (exitCode=-1)
even though the model file is perfectly fine. Reproduced live:
gemma-4-26b-a4b-it-qat-q4_0 defaulted to context=262144 and
qwythos-9b-claude-mythos-5-1m to 1048576, both aborting on a 20 GB card.

Instead of chasing the trained max, auto-derive a conservative default:
min(trainedMax, DefaultAutoContextSize=8192). A small model keeps its
trained window; a long-context model caps at 8k and users opt into more
via context_size. This cap applies always, including CPU / unknown-VRAM
hosts, so it never regresses those paths.

Per-device VRAM is used only as a DOWNWARD safety: when a per-device
ceiling is detected (xsysinfo.MinPerGPUVRAM) and even the 8k cap would
not fit it with headroom, step down through candidate contexts to the
largest that fits, floored at DefaultContextSize. When VRAM is unknown
(0) or no GPU is detected we do NOT clamp — the bug is GPU OOM and the
8k cap is already safe, so detection gaps must not shrink the window.

The footprint estimate reuses gpustack/gguf-parser-go's
EstimateLLaMACppRun at a given context with all layers offloaded, taking
the per-device NonUMA VRAM figure. The estimate and VRAM detection are
package vars so tests inject deterministic values. Explicit context_size
always wins (guessGGUFFromFile only acts when it is nil).

Assisted-by: Claude:claude-opus-4-8 [golangci-lint go-test]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-06 12:53:45 +02:00
LocalAI [bot]
461ae84732 fix(startup): scope generated-content and upload dirs to the current user (#10698)
The `--generated-content-path` and `--upload-path` defaults were the fixed
shared locations `/tmp/generated/content` and `/tmp/localai/upload`. On any
multi-user host these collide across accounts: macOS routes `/tmp` to the
shared `/private/tmp` for every user, so whichever account starts LocalAI
first creates the parent with 0750 perms and every other account then fails
startup with:

    unable to create ImageDir: "mkdir /tmp/generated/content: permission denied"
    unable to create UploadDir: "mkdir /tmp/localai/upload: permission denied"

The same happens on Linux once a stale root-owned `/tmp/generated` (e.g. from
a prior `sudo` run) is left behind. This bites the desktop launcher and any
app embedding the raw binary (Wingman, nib-desktop), which start `local-ai
run` with no path flags.

Default both paths under the OS temp dir (`os.TempDir()`, honoring `$TMPDIR`;
already per-user on macOS) namespaced by the current UID
(`TMPDIR/localai-<uid>/...`), so accounts never collide while the paths stay
ephemeral. Wired via new kong vars in main.go so every consumer of the raw
binary inherits the fix. All content subdirs (audio, images) derive from
`GeneratedContentDir`, so they are fixed transitively.

As defense in depth, the launcher also anchors these two paths under its own
per-user data directory (mirroring the #10610 fix for data/config), extracted
into a testable `BuildRunArgs`.


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-06 12:53:25 +02:00
Tai An
2a4426c5ec fix(reasoning): don't persist request-scoped reasoning_effort as an operator disable (#10622) (#10623)
* fix(reasoning): don't persist request-scoped reasoning_effort into model config

When a model sets `reasoning_effort: none` (or any default) in its YAML
without an explicit `reasoning.disable`, ApplyReasoningEffort resolves that
default at request time and sets ReasoningConfig.DisableReasoning on the
request-scoped config copy. The post-load thinking/marker probe then wrote
that request-scoped value back into the loader's persistent config via
UpdateModelConfig, making it look as though the operator had explicitly set
reasoning.disable=true. From then on, per-request `reasoning_effort` overrides
were silently ignored (an explicit operator disable wins over a request
asking to think).

DetectThinkingSupportFromBackend only fills reasoning slots that are still
nil, so a slot already set here came from ApplyReasoningEffort, not the probe.
Snapshot which slots were nil before the probe and only persist those, so the
probe's genuine backend detection is still saved while request-time reasoning
effort never leaks into the persistent config.

Fixes #10622

Signed-off-by: Tai An <antai12232931@outlook.com>

* test(reasoning): cover persist-guard added in this PR, extract for testability

ModelInference's post-probe persistence of ReasoningConfig.DisableReasoning /
DisableReasoningTagPrefill had no test: the guard logic lived inline in a
closure only reachable through a live gRPC backend. Extract it into
persistProbedReasoning (pure refactor, no behavior change) so it can be
exercised directly against a ModelConfigLoader, then add specs covering:

- a probe-filled slot (nil beforehand) gets persisted
- a slot that already carried a request-scoped value (e.g. from
  reasoning_effort: none) is left alone, i.e. the #10622 regression stays
  fixed
- an operator's explicit persisted disable is preserved when the guard is
  false
- the media marker still persists unconditionally

Verified red/green: reverting persistProbedReasoning to the old unconditional
copy fails exactly the two guard specs.

Assisted-by: Claude:claude-sonnet-5 go vet
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* test(reasoning): ignore os.Remove error in temp file cleanup (errcheck)

Signed-off-by: Tai An <antai12232931@outlook.com>

* chore: empty commit to re-trigger flaky Agent Jobs CI test

Signed-off-by: Tai An <antai12232931@outlook.com>

---------

Signed-off-by: Tai An <antai12232931@outlook.com>
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
2026-07-06 09:23:10 +02:00
LocalAI [bot]
2348bdc16d chore: ⬆️ Update ggml-org/llama.cpp to 2da668617612d2df773f966e3b0ee22dc2beef7b (#10694)
⬆️ Update ggml-org/llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-06 01:46:47 +02:00
walcz-de
2ccc67bc7f feat(agents): native Prometheus metrics for agent chat runs (#10689)
Operators need a scrape-friendly signal for agent-turn health (completing,
erroring, cancelled, duration) — log-derived counters proved brittle (ANSI/
timezone parsing, restart gaps). Adds localai_agent_runs_total{agent,outcome}
and localai_agent_run_seconds histogram, recorded at the Chat() response
handoff (single choke point of the local execution path). Lazy meter init,
same pattern as the PII events counter (#10641).

Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de>
2026-07-06 01:06:15 +02:00
LocalAI [bot]
0a6c62bb59 chore: ⬆️ Update ServeurpersoCom/qwentts.cpp to 73fe0c67bbf0898ba2999535e0680a02a7f8537d (#10683)
⬆️ Update ServeurpersoCom/qwentts.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-06 01:05:43 +02:00
LocalAI [bot]
1297356e29 chore: ⬆️ Update ServeurpersoCom/omnivoice.cpp to daedb763fd442e0916eb130a479fdd74947291c0 (#10682)
⬆️ Update ServeurpersoCom/omnivoice.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-06 01:05:25 +02:00
LocalAI [bot]
3f36b1dbed chore: ⬆️ Update CrispStrobe/CrispASR to 09df654e304947f7521e1f52992ceacccf03c300 (#10693)
⬆️ Update CrispStrobe/CrispASR

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-06 00:32:28 +02:00
LocalAI [bot]
783222baf4 docs: ⬆️ update docs version mudler/LocalAI (#10680)
⬆️ Update docs version mudler/LocalAI

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-06 00:32:00 +02:00
LocalAI [bot]
bd3f2588fd fix(ui): center the home empty-state wizard (#10691)
The no-models getting-started wizard (`.home-wizard`) rendered
left-aligned instead of centered. `.home-page` is a column flexbox with
the default `align-items: stretch`; a child with `max-width: 48rem`
cannot be stretched past its max-width, so it falls back to the
cross-start (left) edge. The populated home branch never exposed this
because its children are full-width.

Add `margin: 0 auto` to `.home-wizard` so the max-width block centers
horizontally, for both the admin getting-started wizard and the
non-admin no-models hero.

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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-05 13:12:09 +02:00
LocalAI [bot]
40e659974d chore: ⬆️ Update vllm-metal (darwin) to v0.3.0.dev20260704102955 (#10668)
⬆️ Update vllm-project/vllm-metal (darwin)

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-05 10:20:19 +02:00
LocalAI [bot]
deb43e56c0 chore(model-gallery): ⬆️ update checksum (#10686)
⬆️ Checksum updates in gallery/index.yaml

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-05 10:20:02 +02:00
LocalAI [bot]
33869da527 chore: ⬆️ Update ggml-org/llama.cpp to 665892536dfb1b7532161e3182304bd35c33e768 (#10681)
⬆️ Update ggml-org/llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-05 10:19:36 +02:00
LocalAI [bot]
8059117c2d chore: ⬆️ Update CrispStrobe/CrispASR to 1109cb3fcae2e242c2b3d42ec0e3fd6e813f2ce7 (#10685)
⬆️ Update CrispStrobe/CrispASR

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-05 09:29:18 +02:00
LocalAI [bot]
b0959d4756 feat(api): add GET /v1/models/capabilities endpoint (#10687)
Additive superset of /v1/models that enriches each model entry with the
capabilities it supports plus its input/output modalities
(text / image / audio / video). Clients that only understand /v1/models
are unaffected -- they simply never call the new route.

Audio and video *input* are derived from the model's multimodal limits
(vLLM limit_mm_per_prompt), which no single usecase FLAG expresses. That
gap is exactly why a plain capability list is insufficient and this
enriched endpoint exists: an attachment router can now decide whether an
image/audio/video file can go to the active model directly, or must be
converted/transcribed first.

Capability derivation lives in core/config as the single source of truth
(ModelConfig.Capabilities / InputModalities / OutputModalities /
VisionSupported / ...); the Ollama capability surface now delegates to
it instead of keeping a parallel copy. Vision is gated on
chat/completion capability so a MediaMarker hydrated onto a non-chat
model (e.g. a pure ASR/TTS backend) no longer reports a false vision
capability.

Read-only listing: no new FLAG_* flag, reuses the existing `models`
swagger tag, and intentionally exposes no MCP admin tool (there is
nothing to manage conversationally).

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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-05 08:51:55 +02:00
LocalAI [bot]
9e41be4bfb fix(auth): log the real cause of OIDC/OAuth user-info failures (#10679)
The OAuth callback discarded the error returned by user-info resolution
before sending the generic 500, so real failures were completely opaque
in the logs: ID-token verification errors (e.g. issuer/audience mismatch
behind a reverse proxy), a missing id_token, claim-parse errors, or a
rejecting GitHub userinfo endpoint all collapsed into
"failed to fetch user info" with nothing logged.

Log the wrapped cause with xlog.Error (provider + error), matching the
code-exchange step just above it. The client-facing message is unchanged,
so no internal detail leaks to the browser.

Refs #10677


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-04 19:33:53 +02:00
LocalAI [bot]
38350d363e fix(backends): enable ROCm/HIP GPU offload for ggml audio backends (#10666) (#10667)
qwen3-tts-cpp, omnivoice-cpp, acestep-cpp and vibevoice-cpp shipped
rocm-* variants that silently ran on CPU ([Load] backend: CPU). Two
coupled defects:

- The Makefiles passed -DGGML_HIPBLAS=ON, but the vendored ggml only
  understands -DGGML_HIP=ON (GGML_HIPBLAS was removed upstream), so the
  ggml-hip backend target was never created and no GPU code was built.
- The CMake foreach that links the ggml GPU backends into the module
  listed blas/cuda/metal/vulkan but not hip, so even a built ggml-hip
  would not have been linked and its static backend registration would
  never run.

CUDA users were unaffected because cublas passes the correct GGML_CUDA=ON
and the foreach already links cuda. Mirror the proven llama-cpp hipblas
block (ROCm clang CC/CXX + AMDGPU_TARGETS) and add hip to each foreach.
Upstream picks the best device via ggml_backend_init_best(), so no
runtime flag is needed once HIP is compiled and linked.


Assisted-by: Claude:claude-opus-4-8[1m] [Claude Code]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-04 09:08:20 +02:00
LocalAI [bot]
817136c20e chore: ⬆️ Update CrispStrobe/CrispASR to f35185b876fc482fcb2053a81a2697936ed5fcc0 (#10670)
⬆️ Update CrispStrobe/CrispASR

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-04 08:17:02 +02:00
LocalAI [bot]
8396ce1388 chore: ⬆️ Update ggml-org/llama.cpp to d4cff114c0084f1fbc9b4c62717eca8fb2ae494a (#10671)
⬆️ Update ggml-org/llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-04 08:16:41 +02:00
LocalAI [bot]
348f3c87c0 fix(gpu-libs): bundle hipBLASLt TensileLibrary data so ROCm backends stop falling back (#10660) (#10672) the
The ROCm packager copied rocBLAS kernel data (rocblas/library/*.dat) into the
bundled lib/ dir and run.sh pointed ROCBLAS_TENSILE_LIBPATH at it, but the
parallel hipBLASLt data dir (hipblaslt/library/TensileLibrary_lazy_gfx*.dat)
was never packaged and no HIPBLASLT_TENSILE_LIBPATH was set. The bundled
libhipblaslt.so therefore resolved its per-arch kernel data relative to itself,
found nothing, and silently fell back to slow generic kernels, logging:

    rocblaslt error: Cannot read "TensileLibrary_lazy_gfx1201.dat": No such file or directory
    rocblaslt error: Could not load "TensileLibrary_lazy_gfx1201.dat"

Fix, mirroring the existing rocBLAS handling:
- package-gpu-libs.sh: extract the rocblas data-dir copy into a reusable
  copy_rocm_data_dir helper and call it for both rocblas and hipblaslt.
- llama-cpp/turboquant run.sh: export HIPBLASLT_TENSILE_LIBPATH when the
  bundled hipblaslt/library dir exists.

The helper takes an optional ROCM_BASE_DIRS override so the copy is unit
testable without a real ROCm install; add a regression test that runs
package_rocm_libs against a fabricated ROCm tree and asserts both data dirs
are bundled.

Note: this bundles whatever gfx*.dat the build image's ROCm provides. If a
given arch's tensile data is absent from the shipped ROCm, that arch still
needs a ROCm bump; the packaging gap itself is fixed for every supported arch.


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-04 08:14:12 +02:00
LocalAI [bot]
13310905a3 chore: ⬆️ Update ikawrakow/ik_llama.cpp to bbc7de475178dd0535c16ad85f204a2529806c9d (#10669)
⬆️ Update ikawrakow/ik_llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-03 23:35:41 +02:00
LocalAI [bot]
2cbb3c96b3 fix(gallery): block SSRF in gallery config URL fetch (#10665) (#10673)
POST /models/apply with an empty "id" fetches the attacker-supplied
"url" gallery config directly via http.Client, with no check that the
URL resolves to a public IP. In the default Docker deployment no API key
is configured, so any network-reachable client can coerce LocalAI into
issuing requests to internal services or cloud-metadata endpoints (and
exfiltrate a small slice of the response through the job error message).

Guard the config fetch chokepoints (GetGalleryConfigFromURL and
GetGalleryConfigFromURLWithContext, which back both the /models/apply
worker and gallery installs) with utils.ValidateExternalURL, matching
the protection already applied to the CORS proxy and image/video/audio
download paths. Only plain http(s) URLs are validated; non-network
schemes (huggingface://, github:, oci://, ollama://, file://) resolve to
fixed public services or local files and are left untouched.


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-03 21:32:42 +00:00
Ettore Di Giacinto
1152acc167 Revert "feat(config): default swa_full:true for sliding-window-attention models" (#10674)
Revert "feat(config): default swa_full:true for sliding-window-attention mode…"

This reverts commit 02b007a31e.
2026-07-03 22:46:44 +02:00
walcz-de
cc8ee62db0 feat(pii): export PII/audit events as a Prometheus counter (#10641)
The PII EventStore ring buffer is capacity-bound and meant for
recent-audit browsing via /api/pii/events; operators also want a
monotonic, scrape-friendly signal on /metrics — how many
detections/masks/blocks per hour, per origin, and whether the filter
stopped firing after a deploy (silent-failure class).

EventStore.Record is the single choke point every producer already goes
through (request middleware, response scrubbing, MITM proxy
connects/intercepts), so one lazily-initialised counter there covers all
paths without touching any producer:

  localai_pii_events_total{kind, origin, action, direction}

Same lazy otel.Meter pattern as core/services/routing/billing, so the
counter lands on the Prometheus-backed global MeterProvider installed by
the monitoring service. No behaviour change; label cardinality is
bounded (enum-like fields only, no pattern IDs or user IDs).

Assisted-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

Signed-off-by: stefanwalcz <stefan.walcz@walcz.de>
2026-07-03 20:36:15 +00:00
LocalAI [bot]
bfd6c09d88 chore(model gallery): 🤖 add 1 new models via gallery agent (#10663)
chore(model gallery): 🤖 add new models via gallery agent

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-03 18:02:09 +02:00
Richard Palethorpe
eb32cd9073 feat(realtime): eager blocking pipeline warm-up + /backend/load API (#10662)
Realtime sessions previously lazy-loaded each pipeline sub-model (VAD,
transcription, LLM, TTS) on first use, so every cold session paid a
per-request model-load stall and load errors only surfaced mid-stream.

Warm the whole pipeline eagerly and blockingly at session start
(including the voice-gate speaker-recognition model, which an enforced
gate blocks each utterance on; compaction's summary_model stays lazy
since it only runs off the response path):
- Add backend.PreloadModel / PreloadModelByName as the single load path
  for every modality (no transcription special-case; backend-omitted
  configs are deprecated).
- The realtime session blocks on Model.Warmup and returns a
  model_load_error to the client if any stage fails to load;
  updateSession warms in the background. Opt out per pipeline with
  pipeline.disable_warmup, exposed as a UI toggle via the
  config-metadata registry.

Add a LocalAI-native POST /backend/load (and /v1/backend/load) that
pre-loads a model -- expanding realtime pipelines into their sub-models
-- as the inverse of /backend/shutdown. There is one preload engine
(backend.PreloadStages): the realtime Warmup methods, /backend/load and
the --load-to-memory startup flag all use it, so --load-to-memory now
also expands pipeline models and records load-failure traces. Pipeline
sub-model alias resolution is likewise shared
(ModelConfigLoader.LoadResolvedModelConfig). Surface the endpoint
everywhere an admin manages models:
- MCP admin tool load_model (httpapi + inproc clients, safety/catalog
  prompts, catalog/dispatch tests).
- "Load into memory" action in the React models UI.
- Swagger regenerated; docs moved to the general backend-monitor page
  since it is not realtime-specific.

Fix a Traces UI crash ("json: unsupported value: -Inf"): audio-snippet
RMS/peak now floor at a finite dBFS, and backend-trace data is sanitized
to drop non-finite floats before marshaling. The sanitizer is
copy-on-write -- it runs on every RecordBackendTrace, so containers are
only re-allocated on the paths that actually changed.

Migrate core/http/openresponses_test.go onto the prebuilt mock-backend
the rest of the http suite already uses -- it was the last spec still
pointing at a real HuggingFace model, so it 404'd wherever no vision
backend was built -- and fix its item_reference specs to send the
spec's "id" field instead of "item_id", which the handler never
accepted.

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

Signed-off-by: Richard Palethorpe <io@richiejp.com>
2026-07-03 18:00:37 +02:00
alaningtrump
80ec22945a refactor: use the built-in max/min to simplify the code (#10657)
Signed-off-by: alaningtrump <alaningtrump@outlook.com>
2026-07-03 17:59:26 +02:00
LocalAI [bot]
7a3583b52c fix(python-backends): parse tool-call arguments for chat templates and split implicit reasoning blocks (#10658)
Two bugs broke OpenAI-style tool calling on the MLX backend (and any
Python backend sharing backend/python/common), reproduced end-to-end on
LocalAI v4.5.5 with the metal-mlx backend and
mlx-community/Qwen3.5-2B-MLX-8bit.

messages_to_dicts left each tool call's function.arguments as the raw
OpenAI-wire JSON string. HuggingFace chat templates (e.g. Qwen3.5)
iterate arguments as a mapping (.items()), so any request whose history
contained a prior assistant tool_calls message failed with HTTP 500
"Generation failed: Can only get item pairs from a mapping." — breaking
every agent loop on its second turn. Decode the string back into a dict
so the template sees a mapping.

split_reasoning returned ("", text) whenever the opening think tag was
absent. Models like Qwen3.5 open the assistant turn already inside
thinking, so the generated text carries only the closing </think>; the
whole chain-of-thought leaked into content. When the opener is missing
but the closer is present, treat everything before the closer as
reasoning.

Adds platform-independent unit tests under backend/python/common
(stdlib-only, no MLX/venv required, following parent_watch_test.py).

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

Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-03 12:13:37 +02:00
LocalAI [bot]
715d4ed8e5 chore: ⬆️ Update ggml-org/llama.cpp to fdb1db877c526ec90f668eca1b858da5dba85560 (#10647)
⬆️ Update ggml-org/llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-03 00:46:56 +02:00
LocalAI [bot]
9fcc9c0d43 chore: ⬆️ Update ikawrakow/ik_llama.cpp to 87fc8701ff4da81a7d2a91ec0695f95eb3066a47 (#10649)
⬆️ Update ikawrakow/ik_llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-03 00:46:41 +02:00
LocalAI [bot]
3c67b5b746 chore: ⬆️ Update CrispStrobe/CrispASR to 9a26976a8c8cf5af0afcdd04463cf8ba91e96a54 (#10648)
⬆️ Update CrispStrobe/CrispASR

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-03 00:46:25 +02:00
LocalAI [bot]
bea66fd84e chore: ⬆️ Update leejet/stable-diffusion.cpp to 2574f5936571645f784b77623e1f09bad97d948a (#10650)
⬆️ Update leejet/stable-diffusion.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-03 00:46:10 +02:00
LocalAI [bot]
f7a5dfd5ae chore: ⬆️ Update vllm-metal (darwin) to v0.3.0.dev20260701212152 (#10646)
⬆️ Update vllm-project/vllm-metal (darwin)

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-03 00:45:36 +02:00
LocalAI [bot]
6bcaf30c14 chore: ⬆️ Update localai-org/privacy-filter.cpp to 735a6c28607ee82afc3a670383f41b55266a3b9a (#10628)
⬆️ Update localai-org/privacy-filter.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-03 00:45:17 +02:00
LocalAI [bot]
ef15b4bfda fix(vllm): install ROCm vLLM from the AMD wheel index on Python 3.12 (#10651)
* fix(vllm): install ROCm vLLM from the AMD wheel index on Python 3.12

The rocm-vllm backend crashed at load with "No module named 'vllm'".
requirements-hipblas-after.txt requested a bare `vllm`, which resolves to
the CUDA-only PyPI wheel; that wheel is unusable on an AMD GPU. vLLM's
prebuilt ROCm wheels live on a dedicated index (https://wheels.vllm.ai/rocm/)
and are published only for CPython 3.12, so on the backend's default 3.10
the installer silently falls back to the CUDA wheel.

Add a hipblas branch to backend/python/vllm/install.sh that pins Python to
3.12 and installs vllm from the ROCm wheel index, hiding the bare-`vllm`
after-file so installRequirements installs only the base ROCm
torch/transformers first and does not pull the CUDA wheel.

Fixes #10642

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

* chore(vllm): drop the dead hipblas-after requirement and its hide dance

requirements-hipblas-after.txt (a bare `vllm`) is never installed for
hipblas: installRequirements only adds requirements-${BUILD_PROFILE}-after.txt
when BUILD_TYPE != BUILD_PROFILE, and for hipblas they are equal. So the file
was dead and the install.sh hide/restore of it was a no-op. Remove both. The
hipblas branch already installs vllm explicitly from the ROCm wheel index, so
deleting the bare-`vllm` file also removes a latent CUDA-wheel trap should the
installRequirements gap ever be closed.

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

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-03 00:44:55 +02:00
LocalAI [bot]
237bce48e8 feat(ui): forking chat - retry any answer, copy, duplicate, branch (#10645) (#10654)
* feat(ui): clone a chat into a new conversation (#10645)

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

* feat(ui): retry any assistant answer, not just the last (#10645)

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

* feat(ui): copy an entire chat to the clipboard (#10645)

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

* feat(ui): branch a new chat from any assistant answer (#10645)

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

* fix(ui): send truncated history on mid-conversation retry (#10645)

Mid-conversation retry regenerated an answer with the downstream turns
still in the model's context. handleRegenerate truncated the DOM history
via updateChatSettings (a scheduled state update), but the synchronous
sendMessage that followed read the stale, pre-truncation history from its
closure to build the outbound API payload. Thread the intended base
history explicitly through sendMessage's options.baseHistory so the
request body matches the truncated view. Backward compatible: the normal
send path (no baseHistory) is unchanged.

Also guard two minor issues in Chat.jsx: the "Branch from here" button now
renders under !isStreaming to match the retry button, and the duplicate
toast only fires when forkChat returns a chat (not on a null result).

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

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-03 00:04:44 +02:00
LocalAI [bot]
a4e6e01e4d fix(process): give backend workers a parent-death safety net (#10639)
* fix(grpc): self-terminate backend workers when LocalAI dies non-gracefully

Symptom: a backend model-worker subprocess (the per-model gRPC server LocalAI
spawns) can be orphaned and linger — holding VRAM and its listen port — if the
LocalAI process is killed non-gracefully (e.g. a supervisor's graceful-shutdown
grace period elapses and LocalAI is SIGKILLed) before its own teardown runs.

Root cause: LocalAI's graceful teardown (pkg/signals/handler.go installs the
SIGINT/SIGTERM handler; core/cli/run.go registers app.Shutdown ->
ModelLoader.StopAllGRPC -> process.Stop in pkg/model/process.go) only runs when
LocalAI receives a catchable signal and survives long enough to run its
handlers. Backends are spawned via github.com/mudler/go-processmanager v0.1.1,
whose getSysProcAttr() sets Setpgid:true (own process group, so the group can be
signalled) but never PR_SET_PDEATHSIG/Pdeathsig, and exposes no Config field or
option for a caller to inject/extend SysProcAttr. LocalAI fully delegates
spawning to that library (it never builds the exec.Cmd itself), so it cannot set
a kernel parent-death signal at the spawn site. If LocalAI is SIGKILLed, nothing
tells the backend to exit and it is reparented to init.

Fix: add a best-effort, backend-side safety net at the one shared choke point
every out-of-process Go backend routes through — grpc.StartServer / RunServer in
pkg/grpc. On startup it captures getppid() and polls; when the process is
reparented (getppid changes / becomes 1 — the standard POSIX signal the original
parent died) it logs and self-terminates. getppid() reparent detection is
portable (Linux + macOS), unlike Linux-only PR_SET_PDEATHSIG. Toggle via
LOCALAI_BACKEND_PARENT_WATCH (default on; off on Windows) and
LOCALAI_BACKEND_PARENT_WATCH_INTERVAL. This is strictly a backstop alongside the
existing graceful SIGTERM->grace->SIGKILL teardown, which is unchanged.

Scope/limitations: covers Go-based backends (everything using pkg/grpc). The
C++ backends (e.g. llama-cpp) and Python backends do not route through
pkg/grpc and are not covered by this mechanism — they would each need an
equivalent parent-death check (follow-up). The fully general fix is for
go-processmanager to expose SysProcAttr injection so LocalAI can set Pdeathsig
at spawn for every backend regardless of language (suggested upstream follow-up;
out of scope for this LocalAI-only PR).

Test: pkg/grpc/parentwatch_test.go builds a real test -> middle -> grandchild
process tree, lets the middle process exit to orphan the grandchild running the
real watchParentDeath, and asserts it detects the reparent and self-terminates.
Unix-only (build-tagged), runs in CI (Linux).

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix(process): extend parent-death backstop to C++ and Python backends

The Go parent-death watcher (pkg/grpc/parentwatch.go, commit 772b435d5)
only protects backends that route through pkg/grpc. C++ and Python
backends don't, so the originally-reported case — the llama.cpp gRPC
worker surviving a non-graceful LocalAI death — was still uncovered.

Extend the same best-effort backstop to both languages, reusing the
exact mechanism and semantics:

- capture getppid() at startup, skip if already orphaned (<=1)
- a background thread polls getppid() and self-exits on reparenting
  (getppid() != orig || == 1), portable across Linux/macOS, no-op on
  Windows
- same env vars: LOCALAI_BACKEND_PARENT_WATCH (default on; falsy
  false/0/no/off disable) and LOCALAI_BACKEND_PARENT_WATCH_INTERVAL
  (default 2s; accepts Go-style durations like 500ms/2s/1m)

C++: implemented in backend/cpp/llama-cpp (the reported, most-used C++
backend) as a dependency-free header parent_watch.h, wired into
grpc-server.cpp's main() and copied at build time via prepare.sh. C++
backends have no shared server scaffolding, so other C++ backends
(ds4, ik-llama-cpp, privacy-filter, ...) are not yet covered and would
each need the same one-line include+call as follow-ups.

Python: implemented once in the shared common/parent_watch.py and armed
from common/grpc_auth.py's get_auth_interceptors() — the single helper
every one of the 35 Python backends invokes while building its gRPC
server — so all Python backends (and future ones) are covered with no
per-backend edits and no duplicated implementation.

Tests (real process-tree reparent detection, mirroring the Go test):
- backend/cpp/llama-cpp/parent_watch_test.cpp (via run-unit-tests.sh)
- backend/python/common/parent_watch_test.py (python -m unittest)

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Claude Sonnet 5 <noreply@anthropic.com>
2026-07-02 19:16:48 +02:00
LocalAI [bot]
6eea3ef2ac fix(backends): make backend install ops idempotent unless forced (#10643)
* fix(backends): make backend install ops idempotent unless forced

POST /backends/apply hardcoded force=true through
LocalBackendManager.InstallBackend, so applying an already-installed
backend re-downloaded and re-extracted the whole artifact every time.
API clients that ensure a backend exists at startup paid a full OCI
image pull on every boot.

Backend install ops now default to non-forced — an installed, runnable
backend short-circuits (the orphaned-meta reinstall path in
InstallBackendFromGallery is preserved) — and reinstall stays available:

- ManagementOp gains a Force field; the local manager passes it through
  instead of hardcoding true.
- /backends/apply accepts an optional "force" boolean in the body.
- The React UI install route keeps forcing, since its button doubles as
  the explicit "Reinstall backend" action.

Distributed installs already behaved this way (workers skip when the
binary exists unless force is set); this aligns single-node behavior.

Assisted-by: Claude:claude-fable-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix(backends): don't force-reinstall LOCALAI_EXTERNAL_BACKENDS on boot

The startup loop for LOCALAI_EXTERNAL_BACKENDS runs
InstallExternalBackend for each listed backend on every boot, and its
gallery-name path hardcoded force=true — so every start re-downloaded
and re-extracted each listed backend's OCI image even when it was
installed and runnable. Supervising apps that list several backends
paid several full OCI pulls per launch.

Give InstallExternalBackend an explicit force parameter (it only
affects the gallery-name fallback; URI installs always write) and pass:

- false from the boot loop and `local-ai backends install` (idempotent
  ensure — `backends upgrade` is the refresh path),
- op.Force from the local manager's external-URI op,
- the request's force on the worker install path and true on its
  upgrade path (behavior unchanged).

Assisted-by: Claude:claude-fable-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-02 19:16:29 +02:00
LocalAI [bot]
ad97bcbbdd chore(model gallery): 🤖 add 1 new models via gallery agent (#10644)
chore(model gallery): 🤖 add new models via gallery agent

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-02 19:16:09 +02:00
walcz-de
9d8ff90941 fix(cloud-proxy): parameter compatibility with newest reasoning models (#10640)
Newest cloud reasoning models reject two parameters the cloud-proxy
backend currently sends:

- Anthropic (claude-opus-4-x) and OpenAI (gpt-5.x) return 400 when
  temperature is present: "'temperature' is deprecated for this model".
  OpenAI-compatible clients typically send only the server-side DEFAULT
  sampling values rather than user intent, so the translators now forward
  neither temperature nor top_p and let the upstream apply its own
  defaults.
- OpenAI gpt-5.x rejects max_tokens ("Unsupported parameter: 'max_tokens'
  ... Use 'max_completion_tokens' instead"). The OpenAI translator now
  serializes the token limit as max_completion_tokens, which current
  chat-completions models accept.

Verified live against claude-opus-4-8, gpt-5.5 and gemini-3.1-pro
(Gemini OpenAI-compat endpoint). Tests updated to the new contract.

Assisted-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

Signed-off-by: stefanwalcz <stefan.walcz@walcz.de>
2026-07-02 19:15:43 +02:00
LocalAI [bot]
29001a88c1 fix(distributed): don't let a dead worker pin the model-load advisory lock (#10600)
* fix(distributed): don't let a dead worker pin the model-load advisory lock

In distributed mode a chat request could fail with:

  failed to route model with internal loader: routing model ...:
  loading model ...: advisorylock: acquiring lock <id>:
  ERROR: canceling statement due to lock timeout (SQLSTATE 55P03)

Root cause is two independent defects in the cross-replica model-load path:

1. SmartRouter.Route holds a per-model PostgreSQL advisory lock for the whole
   cold-load sequence, which includes installBackendOnNode -> InstallBackend,
   a NATS request-reply with a 15m deadline (DefaultBackendInstallTimeout) that
   ignored ctx. When the chosen worker died mid-install, the holder sat on the
   lock for up to 15m. The detached loadCtx (WithoutCancel) had no deadline, so
   nothing capped the hold.

2. The acquiring statement, pg_advisory_lock(), is subject to any deployment
   global lock_timeout. A common operator setting (e.g. 10s) aborts the wait
   with SQLSTATE 55P03, so every other replica's request for that model hard
   -errored instead of waiting for the in-progress load and reusing it. For the
   ~15m window the model was effectively unroutable.

Fixes:

- advisorylock.WithLockCtx (postgres): SET lock_timeout = 0 on its dedicated
  connection (RESET before it returns to the pool) so the Go context, not a
  deployment-wide GUC, governs how long we wait. Waiters now block and then
  re-check, reusing the model another replica just loaded.

- SmartRouter: bound the detached loadCtx with a single ModelLoadCeiling so the
  lock is always released in bounded time even if a sub-step wedges. Default is
  the configured backend.install deadline + 10m (staging + LoadModel margin),
  so a legitimately slow load is never cut.

- installBackendOnNode: use singleflight.DoChan + select on ctx.Done() so the
  install wait honors cancellation; the ceiling can then actually free a caller
  pinned behind a dead worker. The shared install still coalesces via
  singleflight.

Reproduced both defects as failing tests first (a real 55P03 against a
testcontainer with a short lock_timeout; a wedged install that blocks Route)
and confirmed green.

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

* fix(distributed): bound advisory-lock wait instead of disabling lock_timeout

Setting lock_timeout = 0 to override a deployment's short global lock_timeout
meant "wait forever" server-side. Safe for SmartRouter.Route (its loadCtx now
carries the model-load ceiling) but unsafe for the schema-migration callers
that pass context.Background(): a holder whose session never releases would
hang them indefinitely.

Derive the server-side lock_timeout from the caller's context instead: its
remaining budget plus a margin (so the Go context's cancellation still wins
with a clean error and the server bound is only a backstop), or a finite
30m backstop when the context has no deadline. Never zero - "wait forever"
is no longer possible, while a deployment's hostile short lock_timeout is
still overridden so legitimate cross-replica waits don't fail with 55P03.

Added a spec proving a deadline-less waiter gives up at the (shrunk) backstop
rather than hanging.

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>
Co-authored-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
2026-07-02 09:52:51 +02:00
LocalAI [bot]
b0bfa0852e chore: ⬆️ Update CrispStrobe/CrispASR to fcbc8718e654995e3bd2d0c98bcb8e55e297d23c (#10634)
⬆️ Update CrispStrobe/CrispASR

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Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-02 09:48:20 +02:00
LocalAI [bot]
39a93e91cf chore: ⬆️ Update vllm-metal (darwin) to v0.3.0.dev20260701132215 (#10633)
⬆️ Update vllm-project/vllm-metal (darwin)

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Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-02 09:48:08 +02:00
LocalAI [bot]
26e0c98967 chore: ⬆️ Update leejet/stable-diffusion.cpp to 3590aa8d626e671a1b1dc84506ea2932a243a480 (#10631)
⬆️ Update leejet/stable-diffusion.cpp

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Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-02 09:47:54 +02:00
LocalAI [bot]
9acca54b25 chore: ⬆️ Update mudler/parakeet.cpp to e8acc6172a94e20a952cf1843decace5d771a94b (#10629)
⬆️ Update mudler/parakeet.cpp

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Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-02 09:47:41 +02:00
LocalAI [bot]
2728e6000e chore: ⬆️ Update ikawrakow/ik_llama.cpp to 068b173649f2fd8dc96b35ada5a0b76d8985105d (#10632)
⬆️ Update ikawrakow/ik_llama.cpp

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Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-02 09:47:28 +02:00
LocalAI [bot]
006310d746 chore: ⬆️ Update ggml-org/llama.cpp to 4fc4ec5541b243957ae5099edb67372f8f3b550e (#10630)
⬆️ Update ggml-org/llama.cpp

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Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-02 09:47:15 +02:00
LocalAI [bot]
05acdb1778 chore: ⬆️ Update ggml-org/whisper.cpp to 6fc7c33b4c3a2cec83e4b65abd5e96a890480375 (#10635)
⬆️ Update ggml-org/whisper.cpp

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2026-07-02 09:47:01 +02:00
LocalAI [bot]
5e68b5700c chore(model-gallery): ⬆️ update checksum (#10637)
⬆️ Checksum updates in gallery/index.yaml

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2026-07-02 09:26:32 +02:00
pos-ei-don
7910018249 fix(vllm): non-streaming tool-call regression after #10351 (#10638)
fix(vllm): non-streaming tool-call regression after #10351 (native_streaming is a capability flag, not a state flag)

#10351 introduced native streaming via `parser.extract_tool_calls_streaming`
and gated the post-loop `extract_tool_calls` block on `native_streaming and
not native_streaming_error`. That works for streaming requests, but for
non-streaming requests the same flag is still True (it only means "the
parser can stream", not "we actually streamed"), so the block was skipped
and the `elif` cleared `content = ""` — the tool call was silently lost.

Symptom: non-streaming chat.completions with `tools=[...]` returns
`finish_reason: "stop"` with `content: ""` and no `tool_calls`. Streaming
requests are unaffected.

Fix: gate both branches on `streaming` too, so the extract_tool_calls
block runs for non-streaming requests (and for streaming requests that
fell back to the buffered path).

Reproduction (vLLM 0.24, Qwen3-Coder-Next-NVFP4, qwen3_coder parser):

    curl -s -X POST http://localhost:8080/v1/chat/completions \
      -H 'Content-Type: application/json' \
      -d '{"model":"coder","stream":false,
           "messages":[{"role":"user","content":"7*8 via calc"}],
           "tools":[{"type":"function","function":{"name":"calc",
             "parameters":{"type":"object",
               "properties":{"expression":{"type":"string"}}}}}]}'

Before: finish_reason: "stop", content: "", tool_calls: []
After:  finish_reason: "tool_calls", tool_calls[0].function.name: "calc"

Streaming path re-verified in the same setup: delta.tool_calls arrives
token-by-token, finish_reason: "tool_calls", no raw XML in content.

Signed-off-by: pos-ei-don <1822533+pos-ei-don@users.noreply.github.com>
2026-07-02 09:26:14 +02:00
LocalAI [bot]
1a03712a6f fix(hipblas): symlink amdgpu.ids so ROCm backends find the ASIC ID table (#10627)
* fix(hipblas): symlink amdgpu.ids so ROCm backends find the ASIC ID table

ROCm's bundled libdrm_amdgpu looks up the GPU ASIC ID table at a
hardcoded fallback path, /opt/amdgpu/share/libdrm/amdgpu.ids, which is
only populated by AMD's full amdgpu-install (graphics/DKMS) stack. The
hipblas image is compute-only and doesn't have it, so every model load
logs "No such file or directory" and the GPU can't be identified.
Symlink it to the equivalent file already shipped by Ubuntu's
libdrm-amdgpu1 package.

Fixes #10624

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

* fix(hipblas): correct amdgpu.ids source package name in comment

Verified against the real rocm/dev-ubuntu-24.04:7.2.1 image with
hipblas-dev/hipblaslt-dev/rocblas-dev installed: /usr/share/libdrm/amdgpu.ids
is owned by libdrm-common, not libdrm-amdgpu1 as the comment said.

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

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-02 09:25:14 +02:00
LocalAI [bot]
703ea32de6 chore: ⬆️ Update vllm-metal (darwin) to v0.3.0.dev20260630095652 (#10616)
⬆️ Update vllm-project/vllm-metal (darwin)

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Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-01 21:56:59 +02:00
LocalAI [bot]
751db06e35 chore: ⬆️ Update CrispStrobe/CrispASR to 8fd9db8fec8cb5e929d23d3267ed5817794feb1a (#10615)
⬆️ Update CrispStrobe/CrispASR

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Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-01 21:56:41 +02:00
LocalAI [bot]
f46c0e9c83 docs: ⬆️ update docs version mudler/LocalAI (#10614)
⬆️ Update docs version mudler/LocalAI

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Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-01 21:56:21 +02:00
LocalAI [bot]
0d8adfc59a chore: ⬆️ Update ggml-org/llama.cpp to 0eca4d490e591d4e93058d07540cf47278a72577 (#10617)
⬆️ Update ggml-org/llama.cpp

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Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-07-01 09:31:50 +02:00
LocalAI [bot]
43f2615e19 chore: ⬆️ Update vllm-project/vllm cu130 wheel to 0.24.0 (#10618)
⬆️ Update vllm-project/vllm cu130 wheel

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2026-07-01 08:53:03 +02:00
LocalAI [bot]
875c539ad5 chore: ⬆️ Update ikawrakow/ik_llama.cpp to 29431b31c89e79c10f8736e8f2742485ba1713d6 (#10620)
⬆️ Update ikawrakow/ik_llama.cpp

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2026-07-01 08:52:36 +02:00
LocalAI [bot]
d641ded194 chore: ⬆️ Update ggml-org/whisper.cpp to 0874de3e8e8e48361dba85c7fe6d176f008bf158 (#10621)
⬆️ Update ggml-org/whisper.cpp

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2026-07-01 08:43:40 +02:00
LocalAI [bot]
40445fff05 chore: ⬆️ Update leejet/stable-diffusion.cpp to 484baa41e5e006c52dcd4addc38c830b9489745f (#10619)
* ⬆️ Update leejet/stable-diffusion.cpp

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

* fix(stablediffusion-ggml): adapt to new generate_image() out-param signature

leejet/stable-diffusion.cpp@484baa4 changed generate_image() from
returning sd_image_t* to returning bool with images_out/num_images_out
out-parameters (same pattern already used by generate_video()).

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

---------

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-07-01 08:32:57 +02:00
Tai An
057dee956a fix(launcher): keep data/config under ~/.localai (#10610) (#10613)
The launcher starts the server with run --models-path/--backends-path but
leaves --data-path and the dynamic config dir unset, so the server falls
back to its /data and /configuration defaults.
 is kong.ExpandPath("."), i.e. the launcher process CWD
(commonly the user's home root), producing ~/data and ~/configuration
outside ~/.localai and an agent-pool stateDir under ~/data.

Pass --data-path and --localai-config-dir explicitly, rooted at the
launcher's own data directory (GetDataPath() -> ~/.localai), so data and
config stay consistent with --models-path/--backends-path.
2026-06-30 22:14:59 +02:00
Adira
4ec39bb776 fix(watchdog): don't log optional Free() as an error when backend returns Unimplemented (#10602) (#10607)
* fix(watchdog): don't log optional Free() as an error when backend returns Unimplemented (#10602)

When the watchdog evicts a model, deleteProcess calls the backend's gRPC
Free() to release VRAM before stopping the process. Free is optional:
backends that don't override it -- the generated UnimplementedBackendServer
stub, many Python/external backends, or a federation proxy in distributed
mode -- return gRPC Unimplemented. That is expected, not a failure: VRAM is
reclaimed when the local process is stopped, or by the remote unloader for
remote backends. Logging it as "WARN Error freeing GPU resources" made a
benign, optional RPC look like a fault (the alarming line in #10602, seen
in distributed mode where the model is remote and Free hits a stub).

Treat gRPC Unimplemented from Free() as a no-op logged at Debug; genuine
failures still Warn. Free() is still attempted for every backend, so any
backend that does implement it is unaffected.

Add a reusable grpcerrors.IsUnimplemented helper following the package's
existing code-based detection idiom (prefer the typed status code, fall
back to the message across non-gRPC boundaries), with table tests.

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

Signed-off-by: Adira Denis Muhando <dennisadira@gmail.com>

* fix(watchdog): log a non-Unimplemented Free() failure at error level

Per review: now that the expected gRPC Unimplemented case is split out and
logged at Debug, any remaining Free() error is a genuine failure to release
VRAM, so surface it at error level instead of warn.

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

Signed-off-by: Adira Denis Muhando <dennisadira@gmail.com>

---------

Signed-off-by: Adira Denis Muhando <dennisadira@gmail.com>
2026-06-30 22:14:01 +02:00
Ettore Di Giacinto
25ecb9f015 fix(gallery): use Q8_0 for lfm2.5-8b-a1b to fix poor tool-call quality
The Q4_K_M quant degraded tool-call reliability for LFM2.5-8B-A1B.
Switch the gallery entry to the Q8_0 GGUF (sha256 verified via HF
x-linked-etag) while keeping the native jinja tool-parsing config.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]
2026-06-30 17:46:20 +00:00
LocalAI [bot]
2be495f9c0 fix(kokoros): implement AudioTranscriptionLive trait stub (#10612)
The backend.proto AudioTranscriptionLive bidirectional streaming RPC added
new required trait items (AudioTranscriptionLiveStream + audio_transcription_live)
on the generated Backend trait. The kokoros (TTS) backend did not implement
them, breaking its release build with E0046 (missing trait items).

kokoros is text-to-speech and has no live-ASR support, so stub the method to
return UNIMPLEMENTED, mirroring the existing audio_transcription_stream stub.


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-30 19:38:41 +02:00
LocalAI [bot]
02b007a31e feat(config): default swa_full:true for sliding-window-attention models (#10611)
LocalAI enables a cross-request prompt-prefix cache (cache_reuse, see
core/config/serving_defaults.go) so repeated prefixes — system prompts,
RAG context, agent scaffolds, multi-turn chat — are not reprocessed every
turn. For sliding-window-attention (SWA) models (Gemma 2/3, Cohere2,
Llama 4, ...) this silently does nothing: llama.cpp defaults to a reduced
SWA KV cache sized to the sliding window, and that reduced cache cannot
preserve a prompt prefix across requests, so every turn reprocesses the
whole prompt anyway.

llama.cpp's --swa-full (params.swa_full, already wired through the
LocalAI llama.cpp backend's `swa_full` option) keeps the full KV cache so
the shared prefix is reused. Enable it automatically, but only for models
that are actually SWA: detection reads the gguf-parser-normalized
`<arch>.attention.sliding_window` metadata (which also applies llama.cpp's
family rules, e.g. Phi-3 → not SWA), right where the GGUF is already
parsed for defaults. It is never applied to dense models (pure memory
waste) and never overrides an explicit user `swa_full`/`n_swa` choice.

Tradeoff: the full SWA cache scales with context_size, so it costs more
memory at large contexts — hence the SWA gating and the documented
`swa_full:false` opt-out.

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

Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-30 17:58:17 +02:00
LocalAI [bot]
fd8cebd0b3 fix(watchdog): persist UI-saved Check Interval across restarts (#10601) (#10605)
fix(watchdog): persist a UI-saved Check Interval across restarts (#10601)

The watchdog Check Interval saved via /api/settings reverted to 500ms on
every restart, while the idle/busy timeouts persisted correctly.

Root cause: NewApplicationConfig baseline-defaulted WatchDogInterval to
500ms, whereas the idle/busy timeouts default to 0. The startup loader
(loadRuntimeSettingsFromFile) applies a persisted runtime_settings.json
value only when the field is still at its zero default - its heuristic
for "this wasn't set by an env var". Because the interval was always
500ms at that point, the loader never read the persisted value back, so
the saved interval was silently discarded on each boot.

Fix: drop the non-zero baseline default so the interval behaves like the
sibling timeouts (0 = unset). The effective 500ms default is now supplied
at the watchdog layer: WithWatchdogInterval ignores a non-positive value
so DefaultWatchDogOptions' 500ms is preserved (and a 0 interval can never
turn the watchdog loop into a busy spin). Also mirror the interval in the
live config file watcher alongside idle/busy, and report the real 500ms
default (not the stale "2s") from ToRuntimeSettings.


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-30 17:48:14 +02:00
LocalAI [bot]
dd625921ff fix(macos): staple the notarization ticket to the .app, not just the dmg (#10606)
Stapling only the dmg leaves the LocalAI.app bundle with no embedded
notarization ticket. Gatekeeper then falls back to an online notarization
check on first launch, so the app fails to open on a Mac that is offline or
behind a firewall, or once it has been copied out of the dmg — while it keeps
working on the (online) build host, which masks the problem.

Notarize and staple the .app before packaging it into the dmg so the bundle
verifies offline. Adds a `notarize-app` subcommand to
contrib/macos/sign-and-notarize.sh (zips the bundle for notarytool, then
staples + validates) and invokes it from dmg-launcher-darwin. Stays a no-op
when notary secrets are unset, so unsigned local/fork builds are unaffected.

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

Signed-off-by: mudler <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-30 17:38:47 +02:00
LocalAI [bot]
d74f88357e fix(tests): align openresponses test model name with GGUF-derived naming (#10589) (#10609)
PR #10589 changed repo-root HuggingFace URI imports to name the model after
the selected GGUF file rather than the repository. The Open Responses API
integration test still requested the old repo-derived name
("Qwen3-VL-2B-Instruct-GGUF"), so every request 404'd on an unknown model and
the suite has failed on master since 1a4f68ed4.

Update testModel to the name the importer now registers for the default
q4_k_m quant ("Qwen3-VL-2B-Instruct-Q4_K_M") so the specs resolve the model
again. The #10589 behaviour change is intentional; only the stale test needed
updating.

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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-30 15:41:44 +02:00
Adira
dfaec3bd51 fix(import): strip file:// scheme from model path for local imports (#10599)
Importing a model from a local directory (e.g. a HuggingFace checkout or an
LM Studio store) via a file:// URI produced a config whose model field kept
the scheme verbatim, e.g. model: file:///Users/u/.../Qwen3-4bit. The mlx and
vllm backends treat that field as a HuggingFace repo id or local path and
reject the file:// form with "Repo id must be in the form 'repo_name' or
'namespace/repo_name'", so the model imported fine but failed to load (issue
#7461).

Add a shared LocalModelPath helper that reduces a file:// URI to the bare
filesystem path it points at and leaves HuggingFace/HTTP URIs untouched, and
route the mlx, vllm, transformers and diffusers importers (all of which pass
details.URI straight into the model field for from_pretrained-style loading)
through it.

Cover the helper directly plus end-to-end file:// import specs for the mlx and
vllm importers.

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

Signed-off-by: Adira Denis Muhando <dennisadira@gmail.com>
2026-06-30 10:21:08 +02:00
LocalAI [bot]
0e381897b5 chore: ⬆️ Update ikawrakow/ik_llama.cpp to f74a6fb87b315b2c3154166e075360e15021a61d (#10598)
⬆️ Update ikawrakow/ik_llama.cpp

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Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-06-30 09:17:48 +02:00
LocalAI [bot]
b1af37257d chore: ⬆️ Update CrispStrobe/CrispASR to 3b93758f9725d400eca82976f895e4cec3f31260 (#10597)
⬆️ Update CrispStrobe/CrispASR

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Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-06-30 09:17:11 +02:00
LocalAI [bot]
ebefa6dcca chore: ⬆️ Update localai-org/privacy-filter.cpp to 595f59630c69d361b5196f2aba2c71c873d0c13c (#10596)
⬆️ Update localai-org/privacy-filter.cpp

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2026-06-30 09:16:52 +02:00
LocalAI [bot]
605348925d chore: ⬆️ Update ggml-org/llama.cpp to 6f4f53f2b7da54fcdbbecaaa734337c337ad6176 (#10595)
⬆️ Update ggml-org/llama.cpp

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Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-06-30 09:16:37 +02:00
LocalAI [bot]
686ce10b54 chore: ⬆️ Update leejet/stable-diffusion.cpp to 3b6c9ca97cfcda8e68e719e6670d06379fcbe943 (#10594)
⬆️ Update leejet/stable-diffusion.cpp

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2026-06-30 09:16:21 +02:00
pos-ei-don
2cee318fad fix(functions): avoid quadratic-time debug logging in CleanupLLMResult / ParseFunctionCall (#10592)
fix(functions): avoid quadratic-time debug logging in CleanupLLMResult/ParseFunctionCall

The streaming chat path (core/http/endpoints/openai/chat_stream_workers.go)
calls CleanupLLMResult / ParseFunctionCall once per delta chunk with the
*full accumulated* LLM result so far. Both functions xlog.Debug the entire
argument on entry and exit, so a single N-chunk stream emits roughly
chunk_size * N^2 bytes of debug output.

Under LOG_LEVEL=debug this was observed in a recent SGLang-via-LocalAI
session on a DGX Spark host (about 50K tokens, long streaming generation)
to drive container logs to ~96 GiB, which interacted with the streaming
hot loop on the same filesystem and contributed to a host-wide hard hang
once disk pressure built up. Workaround was setting LOG_LEVEL=info, but
the quadratic shape remains a foot-gun for anyone intentionally enabling
debug.

Replace the four result-content debug arguments with len(...) plus a
fixed-size head (200 bytes via a new truncForLog helper), bounding per-
call output to a constant. The debug signal stays useful: the first 200
chars are enough to identify which generation is in flight, and the
length lets you observe growth without paying for the payload itself.

No API change. No behaviour change for LOG_LEVEL != debug.

Signed-off-by: Poseidon <philipp.wacker@ibf-solutions.com>
Co-authored-by: Poseidon <philipp.wacker@ibf-solutions.com>
2026-06-30 09:16:03 +02:00
Adira
1a4f68ed4a fix(import): derive model name from selected GGUF for repo-root URIs (#10589)
When importing a HuggingFace GGUF model from a repository-root URI (no file
component, e.g. hf://owner/repo) with the Model Name field left blank, the
importer named the model after the repository (filepath.Base(details.URI))
instead of the GGUF file it actually selected from the repo listing (issue
#10587).

Track whether the user supplied an explicit name; the URI base is now only a
fallback. In the HuggingFace branch, once the model group is picked, re-derive
the name from the selected GGUF via a new modelNameFromShardGroup helper that
uses ShardGroup.Base minus the .gguf extension. For sharded models this yields
a clean logical name (e.g. Qwen3-30B-A3B-Q4_K_M) rather than a shard filename
like ...-00001-of-00002. An explicit name preference still always wins, and the
.gguf/URL/OCI paths are unchanged.

Add network-free unit specs covering name-from-GGUF, clean-name-from-shard-base,
and explicit-name precedence, and update the live integration specs that had
encoded the previous repo-name behaviour.

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

Signed-off-by: Adira Denis Muhando <dennisadira@gmail.com>
2026-06-30 09:03:27 +02:00
Adira
28d7397743 fix(openai): stop max_tokens streaming retry loop on reasoning models (#9716) (#10448)
fix(openai): stop max_tokens streaming retry loop on reasoning models

When a thinking model spends its entire max_tokens budget on the reasoning
block, the C++ autoparser clears the raw Response and delivers reasoning-only
ChatDeltas (no content, no tool calls). ComputeChoices' empty-response retry
then fires and regenerates from scratch up to maxRetries times, each
re-consuming the whole budget, instead of terminating with finish_reason
"length" (issue #9716).

Add a reachedTokenBudget helper and suppress both the built-in and
caller-driven retries when the completion count has reached the configured
max_tokens ceiling. Report finish_reason "length" instead of "stop" in the
streaming and non-streaming chat paths when the budget was exhausted.

Adds a deterministic regression test that counts backend invocations
(previously 6, now 1) plus boundary tests for the helper.

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

Signed-off-by: Dennisadira <dennisadira@gmail.com>
2026-06-30 09:01:53 +02:00
Richard Palethorpe
5d0c43ec6e feat(realtime): Semantic VAD EOU token (#10444)
* feat(realtime): EOU-driven semantic_vad turn detection

Add a `semantic_vad` turn-detection mode to the realtime API that feeds
the transcription model live and decides "the user finished speaking"
from the `<EOU>` end-of-utterance token rather than from silence alone.
When EOU fires the turn commits immediately (~0.3s); otherwise it falls
back to an eagerness-scaled silence threshold (low/med/high = 8/4/2s).

Plumbing, bottom to top:

- proto: `AudioTranscriptionLive` bidirectional RPC (config-first oneof,
  mono float PCM @16k, ready-ack / Unimplemented degrade signal) plus
  `TranscriptResult.eou` for the unary retranscribe gate.
- pkg/grpc: client/server/base/embed scaffolding for the bidi stream,
  modeled on AudioTransformStream; release stream conns on terminal Recv.
- parakeet-cpp: live transcription RPC with per-C-call engine locking
  (one live stream per turn, finalize+free at commit); bump parakeet.cpp
  to ABI v5 — incremental StreamingMel (no more quadratic per-feed mel
  recompute that delayed EOU on long turns) and the <EOU>/<EOB> split;
  strip the literal <EOU>/<EOB> from offline text and set Eou.
- core/backend: LiveTranscriptionSession wrapper + pipeline
  `turn_detection:` config block (type/eagerness/retranscribe).
- realtime: semantic_vad integration — live input captions streamed as
  transcription deltas while the user speaks, EOU-immediate commit with
  eagerness fallback, optional retranscribe gate (batch re-decode must
  also end in <EOU> to confirm), clause synthesis off the LLM token
  callback, and per-turn live-transcription / model_load telemetry.
- UI: show the realtime pipeline components as a vertical list.

Docs and tests included; opt-in via the pipeline YAML or per-session
`session.update`. Non-streaming STT backends degrade to silence-only.

Assisted-by: Claude Code:claude-opus-4-8 [Read] [Edit] [Write] [Bash]
Assisted-by: Claude Code:claude-fable-5 [Read] [Edit] [Bash]
Signed-off-by: Richard Palethorpe <io@richiejp.com>

* feat(realtime): explicit formally-verified state machines + parakeet streaming driver

The realtime API had several implicit state machines whose state was inferred
from scattered booleans, channels, and five separate mutexes, leaving
illegal/inconsistent states reachable. Make them explicit and keep the
implementation in step with a formal design; rework the parakeet streaming
backend along the same lines.

Realtime state machines (M1-M5). Each is a sealed sum-type State/Event/Effect
with a total, pure Next(state,event)->(state,[]effect) behind a single-writer
Coordinator:

  M1 conncoord    connection lifecycle: VAD toggle + once-only teardown
                  (replaces vadServerStarted + a `done` channel closed from
                  two sites).
  M2 turncoord    turn detection: collapses speechStarted and the live-stream
                  "turn open" flag into one state, so discardTurn can no longer
                  desync them and suppress the next onset.
  M3 respcoord    response coordination: serializes the dual-writer
                  start/cancel so at most one response is live; one
                  response.done per response.create.
  M4 compactcoord conversation compaction: single-flight (replaces the
                  `compacting atomic.Bool` CAS).
  M5 ttscoord     TTS pipeline: open->closing->closed, idempotent wait(),
                  rejects enqueue-after-close (was a silent drop).

The Coordinator/Sink/Next plumbing — only the sealed types and Next differed
per machine — is extracted once into core/http/endpoints/openai/coordinator as
a generic Coordinator[S,E,F]; each machine keeps its public API via type
aliases, so no sink, call-site, or test moved.

Hierarchy. session_lifecycle.fizz models M1 as the parent region with its
children (M2/M3/M4) as one statechart and asserts ChildrenDieWithParent (conn
torn => all children terminal, none start after teardown). respcoord and
compactcoord gain an absorbing Terminated state + Shutdown event; conncoord's
teardown drives the children terminal. This closes a compaction teardown gap: a
fire-and-forget compaction could outlive a torn session — compactionSink now
takes a session-scoped cancellable context + WaitGroup and joins the in-flight
summarize+evict on shutdown.

Formal verification. formal-verification/ holds one authoritative FizzBee spec
per machine plus the composition spec, each with an always-assertion and a
documented one-line edit that makes the checker fail (verified non-vacuous).
scripts/realtime-conformance.sh is fail-closed: all Go conformance suites under
-race AND a model-check of every .fizz spec; a missing FizzBee is a hard error
(only the loud REALTIME_CONFORMANCE_SKIP_FIZZBEE=1 bypasses it, never in CI).
FizzBee is pinned by sha256 and installed via scripts/install-fizzbee.sh into
.tools/ (gitignored). Wired as make test-realtime-conformance, a CI workflow,
and a pre-commit path filter. Go conformance tests are Ginkgo/Gomega (per the
repo's forbidigo lint): transition tables + fixed-seed property walks +
concurrent/-race specs, no rapid dependency. Design map:
docs/design/realtime-state-machines.md.

Parakeet streaming backend. The same treatment applied to the parakeet-cpp
streaming paths:
- AudioTranscriptionStream returns codes.Unimplemented for non-streaming models
  instead of decoding offline and emitting it as one delta + final. A client
  that asked for streaming learns the model cannot stream rather than receiving
  a batch result shaped like a stream. New grpcerrors.StreamTranscriptionUnsupported
  carries that signal; the HTTP /v1/audio/transcriptions stream path surfaces it
  as an SSE error event. Mirrors AudioTranscriptionLive, which already did this.
- utteranceBoundary (boundary.go): a single definition of the end-of-utterance
  latch, replacing three open-coded finalEou toggles. Modelled as a two-valued
  type so illegal states are unrepresentable.
- Shared decode driver (driver.go): streamFeedResult (one per-feed event) +
  feedChunk (hides the ABI v4 JSON vs text-only split) + feedSlices + flushTail.
  The feed loop is written once.
- AudioTranscriptionLive becomes a bidi adapter: it streams the per-feed
  {delta,eou,eob,words} the realtime turn detector consumes and a terminal
  FinalResult carrying only Text. Segments/duration/eou are offline-only and no
  longer produced (nor read) on the live path; liveTraceState drops the terminal
  eou and keeps the per-feed eou_events count.
- AudioTranscriptionStream + streamJSON merge into one driver-based function;
  streamSegmenter is generalized to the unified event with a text-only fallback
  that preserves the legacy (no-words) library's per-utterance segmentation.

Verified: build/vet/gofumpt clean, golangci-lint 0 issues, all coordinator and
parakeet packages under -race, the fail-closed conformance gate green, and
make test-realtime (12 e2e WS+WebRTC).

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>

---------

Signed-off-by: Richard Palethorpe <io@richiejp.com>
2026-06-30 09:01:22 +02:00
pos-ei-don
6ab29ec8b9 fix(sglang): parse tool_call function arguments before applying the chat template (#10558)
OpenAI wire format carries `function.arguments` as a JSON-encoded string,
but chat templates (e.g. Qwen3-Coder) iterate over it as a mapping. The
vllm backend already parses arguments before applying the chat template
(PR #10256); this mirrors that fix in the sglang backend.

Without this fix the second turn of any tool-using session (assistant
returns tool_calls, user posts `role:"tool"` result, model is invoked
with arguments still as a string) crashes inside transformers' Jinja
chat-template rendering with:

  TypeError: Can only get item pairs from a mapping.
  File ".../transformers/utils/chat_template_utils.py", in render_jinja_template
  File ".../jinja2/filters.py", in do_items
      raise TypeError("Can only get item pairs from a mapping.")

Reproduced on `lmsysorg/sglang:v0.5.14` via LocalAI v4.5.4 with
`saricles/Qwen3-Coder-Next-NVFP4-GB10` (W4A4 NVFP4 / compressed-tensors)
on NVIDIA DGX Spark (GB10, sm_121).

After the patch, a tool-call roundtrip (assistant tool_calls -> tool
result -> assistant final answer) returns http=200 with the expected
follow-up content; no behaviour change on requests that don't carry
tool_calls.

Signed-off-by: Poseidon <philipp.wacker@ibf-solutions.com>
Co-authored-by: Poseidon <philipp.wacker@ibf-solutions.com>
2026-06-30 09:00:51 +02:00
dependabot[bot]
036f950b1b chore(deps): bump actions/cache from 4 to 6 (#10593)
Bumps [actions/cache](https://github.com/actions/cache) from 4 to 6.
- [Release notes](https://github.com/actions/cache/releases)
- [Changelog](https://github.com/actions/cache/blob/main/RELEASES.md)
- [Commits](https://github.com/actions/cache/compare/v4...v6)

---
updated-dependencies:
- dependency-name: actions/cache
  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>
2026-06-29 22:31:10 +02:00
LocalAI [bot]
5b7b914b4f chore(recon): re-pin voice/face-detect to squashed release commits (+ graph-cache fix) (#10591)
chore(recon): re-pin voice/face-detect to squashed release commits

The voice-detect.cpp and face-detect.cpp engine repos were squashed to a single
release commit, which orphaned the previous pins (voice 3d51077, face 06914b0).
Re-pin to the new single-commit SHAs (voice 1db1759, face e22260d).

These also fold in a real correctness fix: the persistent graph-cache fingerprint
now includes op_params, so two structurally identical GGML_OP_CUSTOM graphs (a
blocked 3x3 vs a blocked 1x1 strided conv) can no longer false-hit the cache and
replay the wrong kernel. voice CI was failing test_blocked/conv1x1_s2 with an
out-of-bounds write on the GGML_NATIVE=OFF build; both engine repos are now green
and WeSpeaker embed parity is 1.0 vs golden.


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-29 18:48:47 +02:00
LocalAI [bot]
d1cee4c52a chore: ⬆️ Update vllm-metal (darwin) to v0.3.0.dev20260628073537 (#10562)
⬆️ Update vllm-project/vllm-metal (darwin)

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-06-29 09:13:22 +02:00
LocalAI [bot]
baaa0fe94f chore: ⬆️ Update mudler/face-detect.cpp to 06914b077d52f90d5421299138e7be6bdd06b5e8 (#10580)
⬆️ Update mudler/face-detect.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-06-29 08:04:22 +02:00
LocalAI [bot]
c3b5c7c3fa chore: ⬆️ Update mudler/voice-detect.cpp to 3d510772357538c5182808ac7de2278b84824e24 (#10581)
⬆️ Update mudler/voice-detect.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-06-29 08:03:43 +02:00
LocalAI [bot]
bd1ec8f2c2 chore: ⬆️ Update ggml-org/llama.cpp to dbdaece23de9ac63f2e7ca9e6bfcdc4fc156a3fa (#10582)
⬆️ Update ggml-org/llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-06-29 08:03:20 +02:00
LocalAI [bot]
135debf9af chore: ⬆️ Update CrispStrobe/CrispASR to 6b50f76e59700665358a1aabf5295597fa318e06 (#10583)
⬆️ Update CrispStrobe/CrispASR

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-06-29 08:03:06 +02:00
LocalAI [bot]
e8c18ae28e chore: ⬆️ Update leejet/stable-diffusion.cpp to c1790754d31bec0731ed5fddc9d5b9ff22ee19cd (#10584)
⬆️ Update leejet/stable-diffusion.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-06-29 08:02:52 +02:00
LocalAI [bot]
c4d302e1ab chore(model-gallery): ⬆️ update checksum (#10585)
⬆️ Checksum updates in gallery/index.yaml

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-06-28 23:26:28 +02:00
LocalAI [bot]
323b57a4bc fix(oci): retry layer downloads on transient network errors (#10579)
Installing large backend images (e.g. vLLM/vLLM-omni, several GiB) over
the Web UI could fail with "failed to download layer 0: unexpected EOF"
when a single connection to the registry dropped mid-stream. The whole
install then failed with no recovery, and since the download is not
resumable, retrying from the UI restarted from zero and usually hit the
same blip again - so users saw it as a consistent, size-correlated
failure (issue #10577).

The registry transport already retries manifest/digest fetches via
defaultRetryPredicate (GetImage/GetImageDigest), but the per-layer data
stream in DownloadOCIImageTar bypassed it entirely: layer.Compressed()
+ xio.Copy ran exactly once.

Extract the per-layer copy into downloadLayerToFile, which retries on the
same transient errors (unexpected EOF, EOF, EPIPE, ECONNRESET, connection
refused) with exponential backoff, truncating any partial data before
each retry. Non-retryable errors and context cancellation still fail
fast.


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-28 21:21:08 +02:00
LocalAI [bot]
3d2f639213 fix(fish-speech): allow invalid_reference_casting so tokenizers builds on darwin (#10573)
On darwin arm64 the fish-speech editable install (pip install
--no-build-isolation -e) compiles the transitive `tokenizers` Python
package's Rust extension from source, because there is no prebuilt
manylinux wheel for that platform (Linux builds never compile it, so this
only breaks on macOS). The pinned tokenizers crate fish-speech's stack
resolves to contains a `&T` -> `&mut T` cast that the macOS CI runner's
newer Rust toolchain rejects via the now-deny-by-default
`invalid_reference_casting` lint:

    error: casting `&T` to `&mut T` is undefined behavior ...
    error: could not compile `tokenizers` (lib) due to 1 previous error
    ERROR: Failed building wheel for tokenizers

This failed the fish-speech darwin/metal (mps) backend image build in the
v4.5.5 release CI while all Linux variants built fine.

Fix: export RUSTFLAGS with `-A invalid_reference_casting` (appended to any
existing value, not clobbering) before installRequirements so the
unchanged third-party crate compiles as it did under the older toolchain.
Version-agnostic and harmless on Linux, where no Rust compile happens.

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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-28 19:10:27 +02:00
Nicholas Ciechanowski
be1ae9338b fix(distributed): missing agent NATS permissions (#10571)
Signed-off-by: Nicholas Ciechanowski <nicholas@ciech.anow.ski>
2026-06-28 12:58:13 +02:00
LocalAI [bot]
923c47020d fix(launcher): robust binary download/upgrade (resume, rate-limit, UX) (#10575)
* fix(launcher): resume flaky downloads, drop redundant percent, fit dialogs

The binary upgrade/download flow had three rough edges:

- The status label printed "Downloading... N%" right next to a progress
  bar already showing the percent. Replace it with a human-readable byte
  readout ("Downloading... 12.3 MB / 45.6 MB").
- A failed download (GitHub releases are flaky) had no recourse and always
  restarted from byte 0. Stream to "<dest>.part" and resume via a
  "Range: bytes=N-" request (handling 206/200/416), renaming to the final
  path only after checksum verification; on checksum failure the file is
  discarded so the next attempt starts clean. Add a Retry button that
  appears on failure and resumes from the partial file.
- Progress/install dialogs were hardcoded to oversized dimensions, leaving
  a blank gap below "View Release Notes". Size each window to its content
  with a sane minimum width.

Also unify the three near-identical download-progress popups into one
Launcher.showDownloadProgressWindow helper (and delete a dead unused copy
in ui.go) so the behaviour stays consistent across every entry point.

The progress callback now reports (downloaded, total) byte counts instead
of a single fraction. Resume/retry behaviour is covered by httptest-backed
unit tests in release_manager_test.go.

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

* fix(launcher): resolve latest version via redirect to dodge GitHub API 403

On a fresh Linux start with no LocalAI installed, the download failed with
"failed to fetch latest release: status 403". The cause is the unauthenticated
api.github.com rate limit (60 requests/hour, per IP): on shared/NAT/CGNAT/cloud
addresses it is exhausted almost immediately and every request 403s.

Resolve the latest version by following the github.com "releases/latest"
redirect instead, reading the tag from the final ".../releases/tag/<tag>" URL.
That endpoint is not subject to the API rate limit. Only the version is ever
consumed by callers, so the tag is sufficient. The JSON API is kept as a
fallback, now honoring GITHUB_TOKEN and reporting rate-limit 403/429 clearly
instead of an opaque status code.

Covered by an httptest-backed unit test that asserts the redirect path is used.

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

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-28 12:57:32 +02:00
LocalAI [bot]
b7a1dec773 fix(kokoro): add explicit click dep so spacy CLI works on intel build (#10572)
The kokoro install.sh ends with `python -m spacy download en_core_web_sm`.
spaCy's CLI imports typer -> click, so click must be present at that point.

On the intel build profile, install.sh adds `--upgrade --index-strategy=unsafe-first-match`
against the Intel pip index. With that resolution strategy, click is not
resolved/installed, so the spacy CLI import fails with:

    ModuleNotFoundError: No module named 'click'
    make: *** [Makefile:3: kokoro] Error 1

Other profiles (cpu/cublas) pull click in transitively and build fine; only
the intel profile breaks. This surfaced in the v4.5.5 release CI as the
gpu-intel-kokoro backend image build failure.

Make click an explicit dependency in the base requirements.txt (installed for
every profile) so it is always present before `python -m spacy download` runs,
regardless of index resolution. Unpinned: spacy constrains the version.

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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-28 11:29:17 +02:00
LocalAI [bot]
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>
2026-06-28 09:29:08 +02:00
LocalAI [bot]
d3a26f961d fix(ik-llama): port multimodal path to mtmd API and bump to f96eaddb (#10534) (#10568)
* fix(ik-llama): port multimodal path to mtmd API and bump to f96eaddb (#10534)

The IK_LLAMA_VERSION bump to f96eaddba8bed6a9a5e628bbf6a566775c70b49c pulls in
upstream commit "Prune examples/llava", which deletes examples/llava (clip.* /
llava.*). The ik-llama backend's grpc-server.cpp built a local `myclip` library
from those files and called the removed clip/llava C API, so the bump no longer
builds.

ik_llama keeps its multimodal stack in the surviving `mtmd` library
(examples/mtmd/, public headers mtmd.h + mtmd-helper.h). This ports the backend's
multimodal path onto the high-level mtmd_* / mtmd_helper_* API in place, leaving
the text path (which still uses ik_llama's retained old common API) untouched:

- Makefile: bump IK_LLAMA_VERSION to f96eaddb.
- prepare.sh: drop the clip/llava source copy + sed block; mtmd is a library
  target, no source copy needed.
- CMakeLists.txt: remove the `myclip` target; link `mtmd` and add its include
  dir; build grpc-server as C++17 (mtmd headers require it).
- patches: drop 0002 (targeted the deleted examples/llava/clip.cpp; the mtmd
  clip.cpp never calls ggml_quantize_chunk, so the fix is unneeded). Keep 0001
  (verified still applies).
- grpc-server.cpp / utils.hpp: replace clip_model_load + clip_image_load_from_bytes
  + llava_image_embed_make_with_clip_img + the manual [img-N] prefix splitting and
  per-image llava_embd_batch decode loop with mtmd_init_from_file (moved after the
  model load, which it requires), mtmd_helper_bitmap_init_from_buf, mtmd_tokenize
  and mtmd_helper_eval_chunks. Legacy [img-N] tags are translated, in order, into
  mtmd media markers (mtmd_default_marker()); the post-image suffix text stays on
  the normal token path so the sampling loop is unchanged.

Supersedes #10534.

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

* fix(ik-llama): align json alias to ordered_json to resolve mtmd.h conflict (#10534)

mtmd.h declares `using json = nlohmann::ordered_json` at global scope (and its
mtmd.cpp depends on it), while ik_llama's whole server/common stack also uses
ordered_json. Our grpc-server.cpp/utils.hpp kept a plain `nlohmann::json` alias,
which now collides with mtmd.h once it is included for the multimodal port:
"conflicting declaration 'using json = ...'". Switch our two aliases to
ordered_json to match; it is API-compatible (utils.hpp already used ordered_json
for its log helper) and our json never crosses into an unordered-json API.

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

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-28 08:57:11 +02:00
LocalAI [bot]
13b1ae53bc chore: ⬆️ Update ggml-org/llama.cpp to 0ed235ea2c17a19fc8238668653946721ed136fd (#10536)
* ⬆️ Update ggml-org/llama.cpp

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

* fix(llama-cpp): link server-stream.cpp TU into grpc-server for upstream 0ed235ea (#10536)

Upstream llama.cpp 0ed235ea added an SSE stream-resumption layer in a new
translation unit tools/server/server-stream.cpp, which defines
stream_session, stream_pipe_producer and the g_stream_sessions manager.
server-context.cpp (already #included into grpc-server.cpp) now calls into
it via spipe->cleanup(), stream_aware_should_stop() and
stream_session_attach_pipe(), so without the new TU the grpc-server link
fails on every arch with:

  undefined reference to `stream_pipe_producer::cleanup()'

prepare.sh already copies every tools/server/* file into tools/grpc-server/,
so the source is present; the only missing piece was including its
definitions. Add an __has_include-guarded #include "server-stream.cpp"
before server-context.cpp, mirroring the existing server-chat.cpp and
server-schema.cpp guards, keeping the source compatible with older
pins/forks that predate the split. The file is self-contained (its only
external symbols come from server-common, already in the TU) so it adds no
new undefined references; the http route-handler factories it also defines
are unused in the grpc path but harmless.

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

* fix(llama-cpp): build renamed ggml-rpc-server target for upstream 0ed235ea (#10536)

Upstream renamed the RPC server CMake target and binary from `rpc-server`
to `ggml-rpc-server` (tools/rpc/CMakeLists.txt: `set(TARGET ggml-rpc-server)`),
so the RPC-enabled grpc build failed with "No rule to make target 'rpc-server'".
The grpc-server itself links fine after the server-stream.cpp fix; this only
updates the RPC target name and the binary path copied to llama-cpp-rpc-server.

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

---------

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-28 08:56:40 +02:00
LocalAI [bot]
e68ca109c5 chore: ⬆️ Update CrispStrobe/CrispASR to 6514c9da00b03a2f0f1b49a43fae4f3a01a41844 (#10535)
⬆️ Update CrispStrobe/CrispASR

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-06-28 08:56:24 +02:00
LocalAI [bot]
6740e988d2 chore: ⬆️ Update ggml-org/whisper.cpp to 0ae02cdb2c7317b50991367c165736ce42ed96ac (#10532)
⬆️ Update ggml-org/whisper.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-06-28 08:56:06 +02:00
LocalAI [bot]
ade9cc9e37 fix(openresponses): bound resume-stream buffer and enforce response ownership (#10569)
The background=true resumable-stream path had two latent issues.

1. Unbounded resume buffer. AppendEvent grew StreamEvents without limit, so
   a long-running or abandoned background generation could consume process
   memory without bound. The store now caps the buffer (event count and total
   bytes, mirroring llama.cpp's byte-capped slot ring), evicting oldest events
   from the front and advancing a droppedThrough watermark. GetEventsAfter
   returns ErrOffsetLost when the requested starting_after is below the
   watermark, and handleStreamResume surfaces that as HTTP 409 before
   committing to the SSE response, so a resuming client gets a clear error
   instead of a silently truncated stream.

2. Missing ownership check (IDOR). GET /responses/:id, its stream resume, and
   /cancel looked up responses purely by ID, letting any caller who knows or
   guesses an ID read or cancel another caller's response. Responses now carry
   the creating caller's identity (auth.GetUser), stamped at creation and
   compared on read/cancel/resume; a mismatch returns 404 (not 403) so
   existence is not leaked. Backward compatible: responses with no owner
   (single-key / no-auth deployments) remain accessible.


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-28 02:02:15 +02:00
LocalAI [bot]
471e38e4e7 chore: ⬆️ Update leejet/stable-diffusion.cpp to 9956436c925a367daeab097598b1ea1f32d3503f (#10533)
⬆️ Update leejet/stable-diffusion.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-06-28 01:55:44 +02:00
LocalAI [bot]
f3d829e2ef feat(distributed): add LOCALAI_DISTRIBUTED_SHARED_MODELS to skip staging on shared volumes (#10556) (#10566)
In distributed mode, even when the frontend and workers share the same
models directory via a shared volume mount, starting a model on a worker
re-staged (re-downloaded) it: stageModelFiles always uploads model files
into a tracking-key-namespaced subdir on the worker, and the staging probe
only checks that staged location, so a file already present on the shared
volume at the canonical path was never reused.

Add a config switch LOCALAI_DISTRIBUTED_SHARED_MODELS (default false). When
enabled, the operator asserts that all nodes mount the SAME models directory
at the SAME path, so staging is unnecessary: the frontend's absolute model
paths are already valid on the worker. In that mode stageModelFiles returns
the cloned opts unchanged without uploading, leaving the path fields pointing
at their canonical absolute paths so the worker loads them directly from the
shared volume.

The value is plumbed from DistributedConfig through SmartRouterOptions into
the SmartRouter. Docs and docker-compose.distributed.yaml updated.


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-28 01:23:07 +02:00
LocalAI [bot]
91885c2c7e fix(distributed): return empty backend list for agent nodes instead of failing backend.list (#10545) (#10565)
Opening an AGENT-type worker node's detail page errored with
"failed to list backends on node" / NATS "nodes.<id>.backend.list:
no responders available". Agent workers only subscribe to agent.*,
jobs.*, mcp.* and <prefix>.backend.stop; they never subscribe to
backend.list, so the per-node ListBackendsOnNodeEndpoint request had
no responder and timed out.

The aggregate cluster-wide list already guards this in
managers_distributed.go (skip nodes whose NodeType is set and not
"backend"). The single-node endpoint lacked the same guard. Thread the
NodeRegistry into ListBackendsOnNodeEndpoint and short-circuit to an
empty (non-nil) list for non-backend node types before issuing the
doomed NATS request, mirroring the aggregate-list gate so both views
stay consistent.


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-28 01:22:48 +02:00
LocalAI [bot]
f1fcafb888 fix(gallery): match mmproj/model quant as a whole token so F16 no longer selects BF16 (#10559) (#10564)
pickPreferredGroup matched a quant preference against the shard base
filename with strings.Contains. Because `f16` is a substring of `bf16`,
asking for the `F16` mmproj quant would wrongly satisfy a `BF16` file and
select it when its group came first.

Match the preference as a whole token instead: it must be delimited by a
non-alphanumeric character (or the string start/end) on both outer edges.
Separators inside the preference itself (e.g. `ud-q4_k_xl`) are left
untouched, and all occurrences are scanned before rejecting.


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-28 01:21:33 +02:00
LocalAI [bot]
fdff114701 ci(vibevoice): skip the ASR transcription e2e on release tag builds (#10567)
The `tests-vibevoice-cpp-grpc-transcription` job downloads the vibevoice ASR
model (`vibevoice-asr-q4_k.gguf`, ~10 GB) and decodes it through the
e2e-backends harness. On release tag pushes the detect step forces the full
matrix (run-all=true), so this job runs and consistently times out: the inner
`go test -timeout 30m` cannot pull a 10 GB file from HuggingFace's throttled
Xet CDN within budget (curl --max-time 600 x5 retries overruns the deadline),
leaving an orphaned curl and a 30m panic. It has been red on every release
(v4.5.3/4/5).

Guard the job's `if` with `!startsWith(github.ref, 'refs/tags/')` so it no
longer runs on tag/release builds. It still runs on PRs and branch pushes that
touch vibevoice-cpp, so real regressions are caught off the release path. A
proper fix (a small ASR test GGUF) can re-enable it on tags later.

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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-28 00:40:21 +02:00
LocalAI [bot]
1154be5eea fix(config): fall back to DefaultContextSize for unparseable GGUFs; pin NVFP4 gallery context_size (#10563)
The GGUF metadata parser (gpustack/gguf-parser-go) cannot read NVFP4-quantized
GGUFs at all: it errors with "read tensor info 0: This quantized type is
currently unsupported" because NVFP4 is a ggml tensor type it does not know.
When ParseGGUFFile errors, the llama-cpp defaults hook skips guessGGUFFromFile
entirely and the deferred fallback sets the context window to the conservative
GGUFFallbackContextSize (1024). The result: a model that trains to 262144
tokens runs with n_ctx=1024, and every prompt over ~1k tokens fails with
"request (N tokens) exceeds the available context size (1024 tokens)".

Two changes:

- Drop GGUFFallbackContextSize (1024) and fall back to DefaultContextSize
  (4096) in both the GGUF run-estimate path (gguf.go) and the deferred hook
  fallback (hooks_llamacpp.go). 1024 is a sensible floor for a tiny CPU GGUF
  but a footgun for a large, long-context model whose header simply cannot be
  parsed. Strengthen the existing "GGUF unreadable" test to assert the value.

- Set context_size explicitly on the four NVFP4 gallery entries
  (qwen3.6-35b-a3b-nvfp4-mtp, qwopus3.6-27b-v2-mtp-nvfp4,
  qwopus3.6-27b-coder-mtp-nvfp4, qwen3.6-27b-nvfp4-mtp) so the parser failure
  is irrelevant for them. 32768 matches sibling Qwen entries and is safe on
  memory; operators can raise it toward the 262144 train length.


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-27 23:34:52 +02:00
LocalAI [bot]
8aba4fdba3 chore(fish-speech): drop the darwin/metal build target (#10561)
The fish-speech metal-darwin-arm64 backend build has been failing on every
release (v4.5.3, v4.5.4, v4.5.5) and is a standing red on the darwin backend
matrix. fish-speech pulls `tokenizers` transitively from its upstream source
(`pip install -e fish-speech-src`), and on darwin/arm64 there is no prebuilt
wheel for the pinned old `tokenizers` version, so pip builds it from source.
Modern rustc rejects that old crate as a hard error:

    error: casting `&T` to `&mut T` is undefined behavior ...
       --> tokenizers-lib/src/models/bpe/trainer.rs:517:47
       = note: `#[deny(invalid_reference_casting)]` on by default
    error: could not compile `tokenizers` (lib) due to 1 previous error

This is deterministic, not a flake, and there is no clean fix that does not
either pin a stale Rust toolchain or downgrade a soundness lint guarding real
UB. Until upstream fish-speech moves to a tokenizers version that compiles on
current toolchains, drop darwin support so the release backend build stays
green. The Linux/CUDA/ROCm/Intel/L4T variants are unaffected.

Removes:
- the `-metal-darwin-arm64-fish-speech` entry from `includeDarwin` in
  backend-matrix.yml
- the `metal:` capability mappings and the concrete `metal-fish-speech` /
  `metal-fish-speech-development` gallery entries in backend/index.yaml
- the now-unused darwin-only requirements-mps.txt

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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-27 23:24:21 +02:00
LocalAI [bot]
d7d7721eae feat(distributed): SyncedMap component + migrate finetune/quant/agent-tasks to cross-replica state (#10542)
* feat(distributed): add SyncedMap cross-replica in-memory state component

Introduce core/services/syncstate.SyncedMap[K,V]: a thread-safe in-memory map
that keeps itself consistent across frontend replicas via NATS, with an optional
pluggable durable Store and hydrate-from-source convergence.

Several features keep process-local state surfaced to the API (finetune/quant
jobs, agent tasks, model configs) and each hand-wired the same in-memory + NATS
broadcast + read-through-store legs - or forgot to, reintroducing cross-replica
staleness. SyncedMap makes that consistency a configuration choice:

- local writes mutate the map, write through the Store, then broadcast a delta;
- the apply path is memory-only and never re-publishes or re-writes the Store
  (structural echo-loop guard, mirroring galleryop.mergeStatus);
- on Start and on NATS reconnect the map re-hydrates from the source (Store, else
  Loader); an optional periodic Reconcile repairs silent drift;
- standalone mode (nil NATS client) is a strict in-memory no-op.

Reconnect re-hydrate is wired via a new *messaging.Client.OnReconnect callback,
consumed through an optional type-assertion so MessagingClient stays minimal.
Adds messaging.SubjectSyncStateDelta and a reusable testutil.FakeBus (synchronous
in-process MessagingClient with wildcard matching) for adopter tests.

Component only; service migrations follow in subsequent commits.

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

* refactor(finetune): back jobs with SyncedMap for cross-replica consistency

FineTuneService kept jobs in a process-local map and, although it wrote them to
Postgres, ListJobs/GetJob never read the store back and the wired natsClient was
never used - so in distributed mode a job created on one replica was invisible to
the others. Replace the map and the dead client with a syncstate.SyncedMap keyed
by job ID, value *schema.FineTuneJob (the exact REST shape, so responses are
unchanged).

- Add a Store adapter (core/services/finetune/syncstore.go) over FineTuneStore,
  plus FineTuneStore.ListAll (global hydrate; per-user List kept) and an
  idempotent Upsert (create-or-update; Create alone fails on dup key).
- Writes go through SyncedMap.Set/Delete (write-through + broadcast); reads use
  List/Get. The on-disk state.json path becomes the standalone Loader, keeping
  single-node restart recovery (stale->stopped / exporting->failed fixups).
- Fold SetNATSClient/SetFineTuneStore into NewFineTuneService; app.go passes the
  distributed NATS client + store when distributed, nil otherwise.

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

* refactor(agentpool): back agent tasks with SyncedMap for cross-replica consistency

AgentJobService.ListTasks read the process-local tasks map only, while ListJobs
already read through the DB persister + dispatcher NATS - so in distributed mode
a task created on one replica was invisible to the others. Back tasks with a
syncstate.SyncedMap keyed by task ID (value schema.Task, the exact REST shape);
jobs are left untouched.

- Store adapter (task_syncstore.go) over the existing JobPersister
  (LoadTasks/SaveTask/DeleteTask); reads svc.persister/userID live so a persister
  swap needs no rebuild. No new persister methods required.
- Task reads -> SyncedMap.List/Get; create/update -> Set (write-through +
  broadcast); delete -> Delete. The file persister now owns its own task set so
  the write-through path does not re-enter the SyncedMap lock (deadlock guard).
- The distributed NATS client is not available at construction (start() precedes
  initDistributed), so it is injected via SetTaskSyncNATS, which rebuilds the
  still-empty map before Start/hydrate. Wired at the main, restart, and per-user
  (UserServicesManager) distributed sites.

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

* refactor(quantization): back jobs with SyncedMap + durable QuantStore

QuantizationService kept jobs in a process-local map persisted only to a local
state.json, so in distributed mode jobs were neither visible across replicas nor
durable cluster-wide. Back jobs with a syncstate.SyncedMap keyed by job ID
(value *schema.QuantizationJob, the exact REST shape).

- New distributed.QuantStore (GORM, table quantization_jobs) mirroring
  FineTuneStore: Create/Get/ListAll/Upsert(idempotent)/Delete, registered for
  AutoMigrate via distributed.InitStores (Stores.Quant).
- New adapter (quantization/syncstore.go) over QuantStore implementing
  syncstate.Store, with record<->schema conversion.
- Reads go through List/Get, writes through Set/Delete (write-through +
  broadcast); state.json is kept as the standalone Loader for single-node restart
  recovery (stale-job fixups preserved).
- app.go passes the distributed NATS client + QuantStore when distributed, nil
  otherwise; Start/Close lifecycle mirrors finetune.

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

* fix(syncstate): annotate gosec G118 false positive on lifeCtx

gosec flagged the WithCancel in Start as "cancellation function not called"
because the returned cancel is stored on the struct rather than called/deferred
in scope. It is invoked in Close (covered by tests), and lifeCtx must outlive
Start to drive the reconnect/reconcile goroutines. Suppress the verified false
positive with a justified #nosec G118.

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

* test(distributed): e2e two-replica SyncedMap sync over real NATS + Postgres

Adds the real-infrastructure counterpart to the fake-bus unit tests, in the
existing distributed e2e suite (testcontainers NATS + PostgreSQL). Two SyncedMap
instances stand in for two frontend replicas - each with its OWN NATS connection
to a shared server and a SHARED Postgres store (the distributed-mode invariant) -
and assert, over the wire:

- a create on replica A is observed by replica B;
- an update and a delete propagate A -> B (delete prunes, which a reload cannot);
- a late-joining replica recovers a job it never received a delta for, via store
  hydrate on Start (the at-most-once gap a fake bus cannot exercise);
- a local Set is written through to the shared Postgres store.

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

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-27 23:23:51 +02:00
Nicholas Ciechanowski
c548150f99 fix(distributed): missing agent NATS permission (#10549)
Signed-off-by: Nicholas Ciechanowski <nicholas@ciech.anow.ski>
2026-06-27 21:10:12 +00:00
LocalAI [bot]
ec26b86dd4 docs: ⬆️ update docs version mudler/LocalAI (#10560)
⬆️ Update docs version mudler/LocalAI

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-06-27 22:36:02 +02:00
LocalAI [bot]
d11b202dd2 fix(backends): whisper darwin run.sh loads whichever fallback lib exists (.so/.dylib) (#10553)
fix(backends): whisper darwin run.sh loads whichever fallback lib exists

The macOS branch hardcoded WHISPER_LIBRARY=$CURDIR/libgowhisper-fallback.dylib,
but the cmake build emits a Mach-O named libgowhisper-fallback.so on darwin, so
the Go loader panicked at runtime ("dlopen ...dylib: no such file") and the
backend exited ("grpc service not ready") — breaking e.g. the silero-vad-ggml
VAD on darwin. Pick whichever of .dylib/.so is present so it is robust to the
build's naming either way.

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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-27 14:07:56 +02:00
LocalAI [bot]
e95018ef70 chore(model gallery): 🤖 add 1 new models via gallery agent (#10544)
chore(model gallery): 🤖 add new models via gallery agent

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-06-27 09:42:46 +02:00
LocalAI [bot]
0258f8af55 fix(backends): repair release CI build/test breaks (kokoros, fish-speech, llama-cpp-quantization, sglang) (#10547)
* fix(kokoros): implement new Backend RPCs to fix the build

The backend.proto grew six RPCs (SoundDetection, Depth, TokenClassify,
Score and the bidi-streaming Forward) that the kokoros gRPC service never
implemented, so the trait impl no longer satisfies `Backend`:

    error[E0046]: not all trait items implemented, missing:
      `sound_detection`, `depth`, `token_classify`, `score`,
      `ForwardStream`, `forward`

kokoros is a TTS backend with no use for these, so add `unimplemented`
stubs (plus the `ForwardStream` associated type) matching the existing
pattern for every other unsupported RPC in this file.

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

* fix(fish-speech): add setuptools-rust for the editable source install

install.sh installs the fish-speech source tree editable with
`--no-build-isolation`, which means the build backends of its transitive
dependencies must already be present in the venv. One of them builds a
Rust extension and its metadata step fails with:

    ModuleNotFoundError: No module named 'setuptools_rust'

Add setuptools-rust to requirements.txt so installRequirements provisions
it before the editable install runs.

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

* fix(llama-cpp-quantization): vendor convert_hf_to_gguf.py with conversion/

Upstream llama.cpp split the model-specific logic out of the single
convert_hf_to_gguf.py file into a sibling `conversion/` package, so the
script now starts with `from conversion import ...`. Downloading just the
one file therefore fails at runtime with:

    ModuleNotFoundError: No module named 'conversion'

Clone the repo (reusing the clone already needed to build llama-quantize)
and copy both the script and the `conversion/` package into the backend
dir. Python puts the script's own directory on sys.path[0], so the package
resolves when it sits beside the script.

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

* fix(sglang): pin the CPU source build to sglang v0.5.11

The CPU profile builds sgl-kernel from a `git clone` of sglang with no
ref, so it always tracks master. Recent master added CPU kernels (e.g.
mamba/fla.cpp) that fail to compile in our builder:

    constexpr variable 'scale' must be initialized by a constant
    static library kineto_LIBRARY-NOTFOUND not found

Pin the clone to v0.5.11, the same release the GPU path already floors on
(requirements-cublas12-after.txt). Overridable via SGLANG_VERSION so the
pin can be bumped deliberately.

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

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-27 09:42:22 +02:00
LocalAI [bot]
14b29ebf4e fix(backends): derive darwin RUN_BINARY from the exec line only (#10541)
golang-darwin.sh's packaging check derived the launch binary by grepping every
$CURDIR/... reference in run.sh and taking the last one. Backends that pick a
runtime CPU variant assign it via unquoted `LIBRARY=$CURDIR/libgo<x>-avx512.so`
lines, so the heuristic returned `libgo<x>-avx512.so` — a variant Darwin never
builds (arm64 builds only fallback) — and the check then failed with
"package/libgo<x>-avx512.so not found ... refusing to package (#10267)",
breaking the darwin builds for whisper, sam3-cpp, vibevoice-cpp and friends.

Scan only the `exec` line(s) (the actual launch contract) and tolerate a
quoted `exec "$CURDIR"/<binary>`. parakeet-cpp's parakeet-cpp-grpc and the
quoted-only backends (sherpa/piper/opus) resolve correctly; no Linux change.

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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-27 02:05:40 +02:00
LocalAI [bot]
f0d0bff232 fix(llama-cpp): stop reinterpreting plain-string message content as JSON (#10524) (#10538)
The llama-cpp gRPC backend reconstructs OpenAI messages from proto for the
tokenizer-template path and blindly json::parse'd each message's content
string. LocalAI's Go layer always flattens content to a plain string, so a
user prompt that merely looks like JSON (e.g. mealie's ingredient array
["1/4 cup brown sugar", ...]) was reinterpreted as structured content parts and
rejected by oaicompat_chat_params_parse with "unsupported content[].type".

Normalize content per role instead: user/system/developer content is opaque
text and is never JSON-sniffed; assistant/tool content still collapses a literal
JSON null/object (tool-call bookkeeping) to a string, but a plain string is
never turned into an array/scalar. The array defense is role-independent, so the
role gate only governs the benign null/object case.

While here, extract the duplicated per-message reconstruction and the
pre-template content sanitization into shared, unit-tested helpers
(message_content.h) so the streaming (PredictStream) and non-streaming (Predict)
paths cannot drift. This removes ~490 lines of copy-pasted defensive code, the
dead tool-role parse branches, and the redundant Predict-only tool_calls branch,
while preserving the prior #7324 (null content -> "") and #7528 (tool array
content -> string) fixes.

Tests:
- backend/cpp/llama-cpp/message_content_test.cpp: standalone C++ unit tests for
  all three helpers (#10524, #7324, #7528, multimodal), discovered and run by
  `make test-backend-cpp` and a new generic tests-backend-cpp CI job. Also wired
  as an opt-in CMake/ctest target (-DLLAMA_GRPC_BUILD_TESTS=ON).
- core/schema/message_test.go: Go regression pinning that ToProto flattens a
  JSON-array-looking text part to the verbatim string.
- prepare.sh now copies message_content.h into the build tree.

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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-27 01:42:05 +02:00
LocalAI [bot]
64150ca7ab fix(distributed): broadcast admin model-config changes across replicas (#10540)
In distributed mode the admin model endpoints (/models/edit, /models/import,
/models/toggle-state and the PATCH config-json endpoint) wrote the YAML to the
shared models dir but reloaded only the local replica's in-memory
ModelConfigLoader. With multiple frontend replicas behind one service, a save
landed on whichever replica handled the request; peers kept serving their stale
in-memory view, so a load-balanced request was a coin-flip between old and new
config (a created alias visible on one replica and missing on the other, an
edited alias target diverging, etc.).

The NATS cache-invalidation channel (SubjectCacheInvalidateModels +
OnModelsChanged) already existed for the gallery install/delete path; these
admin endpoints simply never published on it. Wire them up via a new
GalleryService.BroadcastModelsChanged helper (no-op in standalone mode).

Also fix delete propagation: LoadModelConfigsFromPath is additive and never
drops an entry whose file is gone, so the subscriber hook (which only reloaded
from disk) could not propagate a removal. ApplyRemoteChange now honors the
event op - pruning the element on "delete" and reloading otherwise - and shuts
down any running instance of the affected model so the new config takes effect.
This closes the same latent gap on the gallery delete path.


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-27 01:36:57 +02:00
LocalAI [bot]
f98b0f1c1e fix(gpu-libs): bundle transitive deps of GPU runtime libs (#10537) (#10539)
fix(gpu-libs): bundle transitive deps of GPU runtime libs

The per-vendor packagers in package-gpu-libs.sh copy an explicit allowlist
of top-level GPU runtime libraries (libamdhip64, libhipblas, librocblas, the
CUDA/Intel equivalents, ...) but never resolved their transitive
dependencies. Backends run through the bundled lib/ld.so with
LD_LIBRARY_PATH=lib, so any transitive dep not in the allowlist is a fatal
"cannot open shared object file" at load time.

On recent ROCm (base image rocm 7.2.1) the runtime libs link against
librocprofiler-register.so.0, which is not in the allowlist, so the rocm
llama-cpp backend (and every other GPU backend sharing this script) failed
to load with:

  librocprofiler-register.so.0: cannot open shared object file

The Vulkan path already solved this class of problem with copy_elf_deps
(ldd-based transitive resolution), but that sweep was only wired into the
Vulkan ICD path. This adds a generic sweep_transitive_deps that runs the
same ldd resolution over everything the allowlist already bundled, and wires
it into the ROCm, CUDA and Intel packagers. ldd returns the full recursive
closure, so one pass suffices; core libc-family deps are skipped via
is_core_lib so we never shadow the loader's own libc/libstdc++.

Adds a self-contained regression test (gcc + ldd) that fabricates a primary
lib linking a transitive lib and asserts the sweep bundles the dependency.

Fixes #10537

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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-27 01:36:33 +02:00
LocalAI [bot]
2c96c2d08e chore: ⬆️ Update mudler/parakeet.cpp to f469a57270a1cc4554acb15febf60e56619673b9 (#10530)
⬆️ Update mudler/parakeet.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-06-27 00:50:51 +02:00
LocalAI [bot]
f01a969f7b docs: ⬆️ update docs version mudler/LocalAI (#10531)
⬆️ Update docs version mudler/LocalAI

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-06-27 00:29:29 +02:00
LocalAI [bot]
56600eec3e fix(nodes): show a node's existing labels on the detail view (#10529)
fix(nodes): return labels in single-node GET so the detail view shows them

The node detail view (/app/nodes/:id) reads `node.labels` to render a
node's existing labels, but the single-node GET endpoint returned a bare
BackendNode whose Labels live in a separate table - so the list was always
empty and operators could only add labels, never see what was already set
(#10527). The same response also lacked in_flight_count and model_count.

Add NodeRegistry.GetWithExtras, mirroring the existing List vs ListWithExtras
split: bare Get stays cheap for the routing hot paths and existence checks,
while the detail endpoint uses the enriched variant to attach the labels map
and live counts. No frontend change is needed - the UI already renders
existing labels once the data is present.

Closes #10527


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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-26 23:06:42 +02:00
LocalAI [bot]
c4fa256cdf chore(model gallery): 🤖 add 1 new models via gallery agent (#10526)
chore(model gallery): 🤖 add new models via gallery agent

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-06-26 22:31:22 +02:00
LocalAI [bot]
17c1fc74b2 fix(backends): darwin packaging for silero-vad (last Linux-only Go backend) (#10528)
fix(backends): darwin packaging for silero-vad

silero-vad was the last Go backend with Linux-only darwin packaging:
- package.sh fell through to "Could not detect architecture" -> exit 1 on
  macOS (no Darwin branch), so its darwin image never packaged.
- run.sh exported LD_LIBRARY_PATH, which macOS dyld ignores, so the bundled
  libonnxruntime.dylib couldn't be found at runtime.

Add a Darwin branch to package.sh (skip the glibc/ld.so bundling; add an
@loader_path/lib rpath so @rpath resolves to package/lib/) and a
DYLD_LIBRARY_PATH branch to run.sh — mirroring the piper darwin fix (#10525).

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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-26 22:31:06 +02:00
LocalAI [bot]
068d397acf fix(backends): set rpath on the piper darwin binary so it can load its bundled libs (#10525)
The metal-darwin-arm64-piper backend crashed at launch on macOS:

    DYLD "Library missing"
      Library not loaded: @rpath/libucd.dylib
      Referenced from: .../piper
      Reason: no LC_RPATH's found

The piper binary links libucd, libespeak-ng, libpiper_phonemize and
libonnxruntime via @rpath, but ships with no LC_RPATH, so dyld cannot
expand @rpath and aborts before piper runs. The libraries themselves are
already bundled in package/lib/ by package.sh.

Additionally, package.sh's architecture detection only handled the Linux
glibc loaders (/lib64/ld-linux-x86-64.so.2, /lib/ld-linux-aarch64.so.1)
and otherwise hit `echo "Error: Could not detect architecture"; exit 1`,
so on macOS packaging failed outright.

Add a Darwin branch (before the Linux checks) that skips the glibc/ld.so
bundling macOS has no use for and instead runs
`install_name_tool -add_rpath @loader_path/lib` on the piper binary, so
@rpath resolves to the bundled package/lib/ directory.

Also mirror sherpa-onnx/opus in run.sh: export DYLD_LIBRARY_PATH on
Darwin (LD_LIBRARY_PATH is Linux-only) as a defensive fallback.

Validated by hand on Apple Silicon: with the rpath added, piper
synthesized a real WAV. The darwin build is validated in CI.

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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-26 15:10:15 +02:00
LocalAI [bot]
5b3572f8b8 feat(macos): sign and notarize the DMG, app, and server binary (#10510)
Produce a Gatekeeper-clean macOS distribution with no user workaround:

- Launcher DMG + the LocalAI.app inside it are built via fyne, codesigned
  with the Developer ID under the hardened runtime, then the DMG is signed,
  notarized (notarytool) and stapled. Replaces macos-dmg-creator (which had
  no signing hook) with fyne package + hdiutil so we control the .app before
  packaging.
- The bare local-ai darwin server binary is signed + notarized via
  GoReleaser's native notarize block (quill backend, runs on Linux).
- All signing is gated on secrets being present, so forks/PRs/local builds
  stay unsigned and green (contrib/macos/sign-and-notarize.sh no-ops).
- Add hardened-runtime entitlements and FyneApp.toml for deterministic
  packaging; update macOS install docs to drop the quarantine workaround.

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

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-26 12:45:51 +02:00
1398 changed files with 145430 additions and 13566 deletions

View File

@@ -34,7 +34,7 @@ The build matrix is data-only YAML at `.github/backend-matrix.yml` (not inside `
**Without an entry here no image is ever built or pushed, and the gallery entry in `backend/index.yaml` will point at a tag that does not exist.** The `dockerfile:` field must point at `./backend/Dockerfile.<lang>` matching the language bucket from step 1 (e.g. `Dockerfile.python`, `Dockerfile.golang`, `Dockerfile.rust`). The `tag-suffix` must match the `uri:` in the corresponding `backend/index.yaml` image entry exactly.
**`scripts/changed-backends.js` registration — REQUIRED for any new dockerfile suffix.** This is the single most common omission, because it has no effect on the PR that adds the backend (when no prior path filter could catch it anyway) — it only breaks the *next* PR that touches your backend's directory, which then gets zero CI jobs and looks broken for unrelated reasons. Edit `scripts/changed-backends.js:inferBackendPath` and add a branch BEFORE the more-generic suffixes:
**Path-filter registration — REQUIRED for any new dockerfile suffix.** This is the single most common omission, because it has no effect on the PR that adds the backend (when no prior path filter could catch it anyway) — it only breaks the *next* PR that touches your backend's directory, which then gets zero CI jobs and looks broken for unrelated reasons. Edit `scripts/lib/backend-filter.mjs:inferBackendPath` and add a branch BEFORE the more-generic suffixes:
```js
if (item.dockerfile.endsWith("<your-dockerfile-suffix>")) {
@@ -54,7 +54,9 @@ for (const e of m.include.filter(e => e.backend === '<your-backend>')) {
}"
```
A quick way to find the right insertion point: `grep -n 'item.dockerfile.endsWith' scripts/changed-backends.js`.
A quick way to find the right insertion point: `grep -n 'item.dockerfile.endsWith' scripts/lib/backend-filter.mjs`.
If your backend consumes a *shared* build input that lives outside its own directory (a new script under `scripts/build/`, a new file copied into every image), add a rule to `SHARED_BUILD_INPUTS` in the same file — the per-backend prefix match cannot see those, and a miss ships your change to no image at all. See `scripts/lib/backend-filter_test.mjs` for the pattern; `make test-ci-scripts` runs it.
**`bump_deps.yaml` registration — REQUIRED for any backend pinning an upstream commit.** If your backend's Makefile has a `*_VERSION?=<sha>` pin to a third-party repo, the daily auto-bump bot at `.github/workflows/bump_deps.yaml` won't notice it unless you register the backend in its matrix. The bot runs `.github/bump_deps.sh` which `grep`s for `^$VAR?=` in the Makefile you list — so the pin MUST live in the Makefile (not in a separate shell script). The bump for ds4 (#9761) had to walk this back because the original landed the pin in `prepare.sh`, which the bot can't see. Pattern (for `antirez/ds4`):
@@ -115,7 +117,7 @@ Wiring a backend into `includeDarwin:` is more than the matrix entry:
1. **`includeDarwin:` entry** — `tag-suffix: "-metal-darwin-arm64-<backend>"`, `build-type: "metal"`, `lang: "go"` for go+ggml backends; omit `build-type` for the bespoke C++ ones (llama-cpp / ds4 / privacy-filter). Match an existing entry of the same shape.
2. **`backend/index.yaml`** — add `metal:` to the backend's `capabilities` map (main and `-development`) and concrete `metal-<backend>` / `metal-<backend>-development` image entries pointing at the `-metal-darwin-arm64-<backend>` images.
3. **C/C++ backends only** — add an `inferBackendPathDarwin` case in `scripts/changed-backends.js` returning `backend/cpp/<backend>/` (the generic fallthrough assumes `backend/<lang>/`, which is wrong for a C++ source tree driven with `lang: go`), and give `run.sh` a Darwin branch that exports `DYLD_LIBRARY_PATH` instead of `LD_LIBRARY_PATH`. If the build is bespoke (single `grpc-server` + dylib bundling), model it on `scripts/build/ds4-darwin.sh` and add a `backends/<backend>-darwin` make target plus a gated step in `.github/workflows/backend_build_darwin.yml`.
3. **C/C++ backends only** — add an `inferBackendPathDarwin` case in `scripts/lib/backend-filter.mjs` returning `backend/cpp/<backend>/` (the generic fallthrough assumes `backend/<lang>/`, which is wrong for a C++ source tree driven with `lang: go`), and give `run.sh` a Darwin branch that exports `DYLD_LIBRARY_PATH` instead of `LD_LIBRARY_PATH`. If the build is bespoke (single `grpc-server` + dylib bundling), model it on `scripts/build/ds4-darwin.sh` and add a `backends/<backend>-darwin` make target plus a gated step in `.github/workflows/backend_build_darwin.yml`.
4. **C++ proto gotcha** — if the backend compiles the generated gRPC/protobuf in a separate CMake target (e.g. `hw_grpc_proto`), that target must link `protobuf::libprotobuf` + `gRPC::grpc++` so the Homebrew include dirs propagate; otherwise macOS fails with `google/protobuf/runtime_version.h not found` (Linux hides this because apt headers sit in `/usr/include`).
The CI path filter only builds a backend on a PR when a file under its directory changes, so a darwin-only YAML edit builds nothing — touch a file under `backend/<lang>/<backend>/` (a one-line comment is enough) in the same PR.
@@ -216,6 +218,69 @@ docker-build-backends: ... docker-build-<backend-name>
- If the backend is in `backend/python/<backend-name>/` but uses `.` as context in the workflow file, use `.` context
- Check similar backends to determine the correct context
## Engine preference for gallery model variants
A gallery entry can declare `variants`, alternative builds of the same weights,
and LocalAI picks one per host: it drops builds whose backend cannot run here or
that do not fit memory, then ranks the survivors by **engine preference
first, serving feature second, size third** (`SelectVariant` in
`core/gallery/resolve_variant.go`).
Ask whether your backend should outrank another one on some hardware. If it
should, add it to `engineNamePreferenceRules` in `pkg/system/capabilities.go`,
best engine first for that capability:
```go
{Nvidia, []string{engineVLLM, engineSGLang, engineLlamaCpp}},
+ {Nvidia, []string{engineVLLM, engineSGLang, engineMyEngine, engineLlamaCpp}},
```
That is the ENGINE NAME table, matched as a substring of a gallery entry's
`backend:` value. Two sibling tables in the same file speak different
vocabularies and are matched against different things:
| Table | Vocabulary | Matched against | Consumer |
|-------|-----------|-----------------|----------|
| `backendBuildTagPreferenceRules` | build tags (`cuda`, `rocm`, `metal`) | installed build directory names, as a substring | alias resolution in `ListSystemBackends` |
| `engineNamePreferenceRules` | engine names (`vllm`, `llama-cpp`, `mlx`) | a gallery entry's `backend:`, as a substring | gallery variant ranking |
| `servingFeaturePreferenceTokens` | serving features (`dflash`, `mtp`) | a gallery entry's `tags:`, compared whole and case-insensitively, and nothing else | gallery variant ranking, one rank below the engine |
**Putting a token in the wrong table matches nothing and does not error**: every
candidate scores equal and the next sort key decides, so the preference silently
stops existing. The block comment above all three tables spells the contract out.
The serving feature table is the odd one: it is not keyed by capability, because
no hardware prefers a plain build over an equivalent faster build of the same
weights. It reads a declared tag and nothing else. The entry name was the
original signal and is gone: a naming convention is not a contract, and names
are author-supplied free text where a short marker like `mtp` turns up inside
unrelated words or on weights whose entry enables nothing.
`overrides.options` was rejected for the mirror-image reason: `spec_type:` is
llama.cpp's config vocabulary, whereas a cross-backend ranking decision must
work the same for `ds4`'s `mtp_path:` and `sglang`'s `speculative_algorithm:`.
**If your backend can serve the same weights faster** (speculative decoding,
multi-token prediction), say so in the docs for its gallery entries so curators
tag them: the tagging rule and the per-backend evidence table live in
[adding-gallery-models.md](adding-gallery-models.md). A backend never needs to
appear in the token table itself; it ranks builds, not engines.
Leaving your backend out is a valid choice when no ordering can be justified for
it. It then ranks below every known engine and selection falls back to size,
which is the behaviour that predates preference.
**Leaving a whole capability out is not.** A missing row gives that host an
empty preference list, so size alone decides among everything that survives the
filters, and the filter will not save you: `IsBackendCompatible` derives hardware
support from the engine NAME, so `vllm` and `sglang` carry no darwin, cuda, rocm
or sycl token and are never dropped on a host with no GPU. That is why `default`
(no usable accelerator, including a GPU under the 4 GiB VRAM floor) and
`darwin-x86` both have rows putting `llama-cpp` first. Every capability
`getSystemCapabilities()` can return needs a row unless every engine really is
equally at home there. When you add one, enumerate the engines you are demoting
rather than relying on them falling through unmatched: unmatched engines all tie
with each other, so size decides among them.
## Documenting the backend (README + docs)
A backend is not "added" until it is discoverable. Update the user-facing docs:
@@ -243,7 +308,7 @@ After adding a new backend, verify:
- [ ] Backend directory structure is complete with all necessary files
- [ ] Build configurations added to `.github/backend-matrix.yml` for all desired platforms (per-arch entries with `platform-tag` for multi-arch; `builder-base-image` for llama-cpp / ik-llama-cpp / turboquant)
- [ ] **OS coverage considered**: added to `includeDarwin:` (macOS/Apple Silicon) if the backend can build there — with the `backend/index.yaml` `metal:` capability + `metal-<backend>` image entries, a `run.sh` Darwin/DYLD branch and `inferBackendPathDarwin` case for C++ backends — or the PR explains why an OS is unsupported. Do not ship Linux-only by default.
- [ ] **OS coverage considered**: added to `includeDarwin:` (macOS/Apple Silicon) if the backend can build there — with the `backend/index.yaml` `metal:` capability + `metal-<backend>` image entries, a `run.sh` Darwin/DYLD branch and `inferBackendPathDarwin` case (in `scripts/lib/backend-filter.mjs`) for C++ backends — or the PR explains why an OS is unsupported. Do not ship Linux-only by default.
- [ ] Meta definition added to `backend/index.yaml` in the `## metas` section
- [ ] Image entries added to `backend/index.yaml` for all build variants (latest + development)
- [ ] Tag suffixes match between workflow file and index.yaml
@@ -251,6 +316,8 @@ After adding a new backend, verify:
- [ ] No YAML syntax errors (check with linter)
- [ ] No Makefile syntax errors (check with linter)
- [ ] Follows the same pattern as similar backends (e.g., if it's a transcription backend, follow `faster-whisper` pattern)
- [ ] **`Load` validates its input and refuses models it can't serve.** When a model config has no explicit `backend:`, the model loader greedily probes *every* installed backend with the model's name and binds to the first `Load` that succeeds — an accept-anything `Load` will capture arbitrary LLMs (issue #9287). Backends that load a real artefact get this for free (the load fails); backends with no artefact must gate on the name: `opus` accepts only its own name (or none), `local-store` requires the `store.NamespacePrefix` namespace marker sent by `core/backend/stores.go`.
- [ ] **Gallery variant ranking considered**: if this backend should be preferred over another on some hardware, it is listed in `engineNamePreferenceRules` (NOT `backendBuildTagPreferenceRules`, NOT `servingFeaturePreferenceTokens`) in `pkg/system/capabilities.go`. A missing entry silently ranks it last and lets the next sort key decide.
- [ ] Documented: added to the category list in `docs/content/features/backends.md` (and any new endpoint/realtime capability documented under `docs/content/`)
- [ ] If it is an in-house native C/C++/GGML engine, added to the maintained-engines table in the top-level `README.md`

View File

@@ -91,6 +91,108 @@ To add a variant (e.g., different quantization), use YAML merge:
uri: huggingface://<gguf-org>/<gguf-repo>/<filename>-Q8_0.gguf
```
## Offering several builds of one model (`variants`)
When the same model is published in more than one quantization, or is also
servable by another engine, add each build as its own ordinary gallery entry and
then point one of them at the others with `variants`:
```yaml
- !!merge <<: *chatml
name: "nanbeige4.1-3b-q4"
# ... the usual urls / overrides / files for the Q4 build ...
variants:
- model: nanbeige4.1-3b-q8
```
Rules:
- The declaring entry is a **complete, normal entry**. It keeps its own
`files`/`overrides` and stays installable on every host and by every older
LocalAI release, which simply ignore `variants`.
- A variant references another gallery entry **by name**. That entry must exist
and must not declare `variants` of its own.
- **A referenced entry keeps its own gallery row by default.** It is hidden only
in the collapsed listing (`collapse_variants=true`, which the web UI requests
by default), where the declaring entry stands in for it. Searching there still
matches the referenced entry and answers with the entry declaring it, so
referencing an entry never makes it unfindable; turning the collapse off
returns it under its own name.
- **Order carries no meaning.** Do not try to encode a preference; write the
list in whatever order reads best.
- **A variant may be smaller than the declaring entry.** Offering a downgrade
for small hosts is a normal shape: the declaring entry's own build competes
like every other candidate, so a large host keeps the large build.
- **Do not describe hardware.** At install time LocalAI drops variants whose
backend cannot run on the host, then drops those that do not fit available
memory. The declaring entry's own build is exempt from both filters, so
selection always terminates on something installable. Sizes are measured live
from the weights and cached, so nothing has to be written down.
- **Engine preference outranks size.** Among the builds that survive the
filters, the host's preferred engine wins first and only then does the larger
footprint win. On NVIDIA a vLLM build beats a larger llama.cpp one; on Apple
silicon an MLX build beats a larger GGUF one; on a host with no preference for
either engine the larger build wins, since a bigger footprint is a higher
quality quantization of the same weights. Predict what a user gets by asking
which engine the host prefers before asking which build is biggest. The
per-capability order lives in `engineNamePreferenceRules`
(`pkg/system/capabilities.go`); see
[adding-backends.md](adding-backends.md) for how a backend gets into it.
- **Serving feature preference sits between engine and size.** Among builds on
an equally preferred engine, one that speculates or predicts several tokens
per step beats the plain build of the same weights, because it answers faster
for the same output: a `dflash` build beats an `mtp` one, and either beats a
plain build. The order lives in `servingFeaturePreferenceTokens`
(`pkg/system/capabilities.go`) and is matched against the entry's `tags:` and
**nothing else**: not the entry name, not `overrides.options`. See
[the tagging rule](#the-dflash--mtp-tagging-rule) below. Engine deliberately
outranks it: a serving feature makes the right engine faster, it does not make
a wrong engine right. Fit still outranks both, so a drafter pairing (strictly
larger than the plain build, since it ships a drafter alongside it) is dropped
on a host too small for it before this order is ever consulted.
- A variant is nothing but a name; there is no per-variant memory field. When
the measured size for a build is wrong, correct it on the referenced entry by
setting that entry's own `size:` (e.g. `size: "20GiB"`). The estimator prefers
a declared size over its own guesswork, so the fix applies everywhere the size
is shown or compared rather than only to variant selection.
Users can override the automatic choice with `variant` on `POST /models/apply`,
`local-ai models install --variant`, or the `install_model` MCP tool. See
`docs/content/features/model-gallery.md`.
The gallery lint specs live in `core/gallery`, so run that suite after adding a
`variants` list.
### The `dflash` / `mtp` tagging rule
**Tag an entry `dflash` or `mtp` when the entry actually configures that
feature. Variant ranking reads the tag and nothing else.**
Decide by looking at what the entry configures, in whatever vocabulary its
backend uses:
| Backend | Configures the feature when it declares |
|---------|------------------------------------------|
| `llama-cpp` | `overrides.options` contains `spec_type:draft-dflash` or `spec_type:draft-mtp` |
| `ds4` | `overrides.options` contains `mtp_path:` / `mtp_draft:` |
| `sglang` | the referenced `gallery/*.yaml` sets `speculative_algorithm:` |
That check is curation-time only. `spec_type` is llama.cpp's config vocabulary,
and a cross-backend ranking decision must not depend on one backend's option
syntax, which is precisely why the ranker reads the tag instead of the options.
Two mistakes the rule exists to prevent:
- **Weights that carry the heads are not an entry that enables them.** The
NVFP4 GGUF entries ship MTP-bearing weights but set only `use_jinja:true`, so
they enable no speculative decoding and must NOT be tagged. Tagging them wins
them the feature axis without being any faster.
- **A name is not a declaration.** An entry whose name spells `-mtp` while
configuring nothing gets no tag, and an entry that configures the feature is
tagged even when its name says nothing (`hy3`, `glm-5.2`). Ranking never reads
the name, so an untagged build that does enable the feature is simply ranked
as plain rather than promoted on a marker nobody meant.
## Available template configs
Look at existing `.yaml` files in `gallery/` to find the right prompt template for your model architecture:

View File

@@ -28,7 +28,6 @@ The core Go suites (`./pkg`, `./core`, plus the in-process integration suite `./
- **Build tags (`COVERAGE_TAGS`, passed via `GINKGO_TAGS`):** defaults to `debug auth`. The `auth` tag is required to compile the real (sqlite-backed) auth implementation and its ~150 `//go:build auth` tests — without it those files aren't built, the tests don't run, and the gate scores auth against a stub (~3.7% instead of ~38%). If you add new tag-gated tests, extend `COVERAGE_TAGS` or they won't count (and likely won't run in CI at all).
- `make test-coverage-check` — runs `test-coverage`, then `scripts/coverage-check.sh` fails the build if total coverage is **below** the committed baseline in `coverage-baseline.txt`. The Linux job in `.github/workflows/test.yml` runs this instead of `make test`.
- `make test-coverage-baseline` — regenerates and overwrites `coverage-baseline.txt` from the current run.
- `make install-hooks` — sets `core.hooksPath` to the versioned `.githooks/`, whose `pre-commit` runs checks scoped to what's staged: Go changes → `make lint` + `make test-coverage-check`; `core/http/react-ui/` changes → `make test-ui-coverage-check` (Playwright e2e + UI coverage gate). A commit touching neither is skipped; bypass with `git commit --no-verify`. The hook resolves golangci-lint's new-from base to `upstream/master``origin/master``master`, so it works from a fork clone where `origin/master` is stale (passed to `make lint` via `LINT_NEW_FROM`).
### React UI coverage
@@ -38,12 +37,11 @@ The React UI (`core/http/react-ui/`) has **no component/unit tests** — its onl
- **Browser:** the flake dev shell ships `chromium` and exports `PLAYWRIGHT_CHROMIUM_PATH`; `playwright.config.js` uses it via `launchOptions.executablePath`, and the Makefile skips `playwright install` when it's set. This avoids Playwright's downloaded browser, which can't resolve system libs (`libglib-2.0`, …) on NixOS. In CI (no `PLAYWRIGHT_CHROMIUM_PATH`) the Makefile falls back to `playwright install --with-deps chromium`.
- The app is a React SPA, so coverage accumulates across in-app navigation within a test; a full `page.goto`/reload resets it.
- `.nycrc.json` uses `all: true`, so **every `src/**` file is in the report**, including 0%-coverage ones — that's how you spot features with no test at all (sort the HTML report or `coverage-summary.json` by line% ascending).
- **UI coverage gate:** `make test-ui-coverage-check` runs the suite then `scripts/ui-coverage-check.sh`, failing if total line coverage drops more than `UI_COVERAGE_TOLERANCE` below `core/http/react-ui/coverage-baseline.txt`. `make test-ui-coverage-baseline` regenerates the baseline. Runs in CI (`tests-ui-e2e.yml`) and pre-commit on `core/http/react-ui/` changes.
- **UI coverage gate:** `make test-ui-coverage-check` runs the suite then `scripts/ui-coverage-check.sh`, failing if total line coverage drops more than `UI_COVERAGE_TOLERANCE` below `core/http/react-ui/coverage-baseline.txt`. `make test-ui-coverage-baseline` regenerates the baseline. Runs in CI (`tests-ui-e2e.yml`).
- **Why it has a tolerance (unlike the strict Go gate):** UI e2e coverage is *non-deterministic*. Specs that assert on state and end while async/lazy render work is still in flight collect those lines only when the render beats the coverage teardown — so the total drifts with machine speed/load (a fast local box reads higher than a slow CI runner), diffusely across many specs. The tolerance absorbs that drift, so set the baseline *below* the slow-CI floor, never to a fast-local `make test-ui-coverage-baseline` number, or CI flaps.
- **Raising coverage is cheap:** a *render-smoke* spec (navigate to a route, assert its header renders) mounts a lazy page and runs its full render + initial effects, capturing most of its lines in a few lines of test — see `e2e/page-render-smoke.spec.js`. Auth is disabled in the test server (`isAdmin=true`), so `RequireAdmin`/`RequireFeature` routes render without a mock. The most *deterministic* win is removing a race: make a spec `await` a rendered element before ending (see `e2e/agents.spec.js` → AgentCreate) so its lines count every run.
Rules (both gates):
- **Install the hooks:** `make install-hooks` once per clone so lint + coverage run pre-commit. Don't lean on CI for what the hook catches.
- **Don't work around the gate:** never `git commit --no-verify`, and never hand-lower a baseline or widen a tolerance to turn a red gate green. The ratchet only moves up.
- **Don't weaken the gate:** never hand-lower a baseline or widen a tolerance to turn a red gate green. The ratchet only moves up.
- If a change drops coverage, **add tests** (sort `coverage-summary.json` by line% ascending to find untested code) rather than editing the baseline. When coverage legitimately rises, commit the regenerated baseline (`make test-coverage-baseline` / `test-ui-coverage-baseline`).
- The Go gate is **strict — no tolerance**; `covermode=atomic` keeps it deterministic. The UI gate keeps a small tolerance only because its e2e coverage isn't.

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@@ -114,8 +114,97 @@ Both `backend.yml` (push) and `backend_pr.yml` (PR) generate their matrix dynami
- **Tag pushes**: `FORCE_ALL=true` is set from the workflow side (`startsWith(github.ref, 'refs/tags/')`) — releases rebuild every backend regardless of diff.
- **Schedule / `workflow_dispatch`**: no `event.before`, falls through to "run everything" automatically.
### Shared build inputs
The per-backend prefix match only sees files under a backend's own directory, so a change to shared build infrastructure would rebuild *nothing* — an empty matrix, every job green, and the change reaching no image. That silently un-shipped PR #10946 (a partial-cuDNN packaging fix in `scripts/build/package-gpu-libs.sh`), which merged 1h48m after the weekly cron and so sat unbuilt for a week.
`SHARED_BUILD_INPUTS` in `scripts/lib/backend-filter.mjs` closes that hole. Each rule maps a shared path to the narrowest set of matrix entries it can honestly invalidate, since a full matrix is 417 Linux + 56 Darwin builds:
| Changed path | Rebuilds |
|---|---|
| `backend/backend.proto` | nothing if the edit is additive-only, otherwise everything (see below) |
| `backend/Dockerfile.<x>` | the Linux entries whose `dockerfile:` names it |
| `backend/python/common/` | Python, Linux + Darwin |
| `scripts/build/package-gpu-libs.sh` | every Linux entry (Python, Go and C++ all run it) |
| `scripts/build/<lang>-darwin.sh` | the Darwin entries that build target routes to |
| `.github/workflows/backend_build[_darwin].yml` | everything on that OS |
| anything else under `scripts/build/` (except `*_test.sh`) | everything — conservative default for unclassified packaging inputs |
Deliberately excluded: `backend/index.yaml` (gallery metadata, never enters an image), `.github/backend-matrix.yml` (adding a backend would rebuild all of them), `backend/Dockerfile.base-grpc-builder` (owned by `base-images.yml`), and the root `Makefile` (touched in ~11% of commits, and its backend-relevant edits arrive alongside the backend directory anyway). `make test-ci-scripts` pins all of this.
#### `backend/backend.proto` is content-filtered, not path-filtered
Every language consumes the proto, so a path rule for it can only ever say "rebuild all 473 images". It changes in ~1.3% of commits, and that was enough to make it the single largest CI cost driver in the repo: on 2026-07-29 four runs totalling 935 queued jobs traced to nothing but a proto edit, one of which (#11158) was a six-line diff adding `bool cache_prompt = 8;`.
An additive proto edit cannot change how a backend that never references the new symbol behaves, so `filterMatrix()` suppresses the rule for one. `changed-backends.js` fetches `backend/backend.proto` at the base revision (same contents-API pattern as `.github/backend-matrix.yml`) and hands both texts to `protoChangeIsAdditive()`, which compares them structurally rather than textually:
- **Additive, rebuilds nothing**: a new field with an unused number, a new message, a new enum value, a new RPC. Comment, whitespace and ordering changes also land here.
- **Breaking, rebuilds everything**: a removed, renumbered, retyped or renamed field, a dropped RPC, a changed `option` or `package`. So does an unresolvable base revision, matching the run-all posture used for a truncated diff.
Checked against every proto commit in the preceding six months, all nine resolvable ones classify as additive. Note the tradeoff this accepts: generated stubs do change for an additive edit, so image bytes would differ on a rebuild even though behavior does not. That is the same standard already applied when the filter declines to rebuild on unrelated `pkg/` changes, and the weekly cron remains the backstop.
The Sunday 06:00 UTC cron on `backend.yml` exists specifically because path filtering can leave Python backends frozen on stale wheels. `DEPS_REFRESH` (below) only fires when the build actually runs, so an untouched Python backend would never re-resolve its unpinned deps. The weekly cron is the safety net.
## Content-blind PRs skip the workflows that cannot see them
`backend_pr.yml` and `test-extra.yml` filter themselves (matrix generation and a `detect-changes` job), so a gallery-only or docs-only PR costs them about one job each. The Go and image workflows had no filter of any kind, so a one-line `gallery/index.yaml` edit queued 20 jobs, and a docs-only PR queued the same.
This is worth more than it looks. Measured over the week to 2026-07-30, **97% of CI wall-clock is queueing, 3% is execution** (median queue ~5h against a 4-20min median job). Cutting job count is therefore the only lever that shortens feedback time; making individual jobs faster moves 3%.
The volume is real: 13 gallery-only PRs merged that week with 10 open at once, and 78 of the 137 PRs opened were bot-generated.
`paths-ignore` on the PR trigger of `image-pr.yml` (7 jobs), `build-test.yaml` (3), `lint.yml` (2) and `tests-e2e.yml` (1) drops 13 of those 20. The excluded set:
| Path | Why no image or Go build can see it |
|---|---|
| `gallery/**` | Model-gallery metadata, parsed at runtime, never copied into an image |
| `docs/**`, `examples/**`, `**/*.md` | Never enter an image or a binary. `lint.yml` already excluded these before gallery was added |
### `backend/{cpp,go,python}/**` on `image-pr.yml` and `build-test.yaml` only
Version-pin bumps dominate PR volume: 48 `update/*` PRs in the week to 2026-07-30, from 16 pins, each a two-line diff. Most edit nothing but one `backend/*/<name>/Makefile`.
Neither of those two workflows can observe such a change. `make build` is `go build ./cmd/local-ai`, GoReleaser builds the same plus `./cmd/launcher`, and the core image's final stage ships only `entrypoint.sh`, `healthcheck.sh` and that binary. The per-backend trees are copied into the builder but nothing in them reaches the output.
What still triggers a full run, because none of it lives under those prefixes:
- `backend/backend.proto` — feeds `protogen-go`, so it does change the binary.
- `go.mod` / `go.sum` — the `go mod tidy` before-hook.
- `backend/Dockerfile.*` and anything else directly under `backend/`.
Deliberately **not** applied to:
| Workflow | Why it must keep seeing `backend/**` |
|---|---|
| `test.yml` | `TEST_PATHS` explicitly includes `./backend/go/cloud-proxy/...`, `./backend/go/local-store/...` and `./backend/go/valkey-store/...` |
| `lint.yml` | `.golangci.yml` carries `backend/`-scoped rules, so golangci-lint covers that tree |
| `tests-e2e.yml` | The e2e suite drives real backends over gRPC |
| `backend_pr.yml` | This is the workflow whose entire job is to rebuild the changed backend |
What still runs, and why it has to:
| Workflow | Why it keeps running |
|---|---|
| `test.yml` (`tests`) | `core/gallery/variants_lint_test.go` reads the real `gallery/index.yaml` and asserts the index invariants (no duplicate entry names, no build claimed by two parents). This is the only schema-level check the gallery has. |
| `yaml-check.yml` (`Yamllint`) | Lints `gallery/` for syntax. |
| `backend_pr.yml`, `test-extra.yml` | Already self-filtering; they stop after the detect step. |
Two properties this relies on:
- `paths-ignore` skips a run only when **every** changed file matches, so a PR touching the gallery *and* Go code still runs everything. That is what makes the exclusion safe rather than a hole.
- `master` carries no branch protection and no rulesets, so a skipped workflow reports no status and nothing waits on it. If required status checks are ever introduced, these four entries must be excluded from the required set or PRs will hang on "Expected — Waiting for status to be reported".
### `image.yml` on master push is gated too, by a job rather than a path filter
The same reasoning applies to master pushes, and the volume is larger there: on 2026-07-30, **12 of the 23 queued `image.yml` runs** were commits like "add 1 new model to gallery" or a docs fix, each rebuilding all 18 container images.
`image.yml` now has a `changes` job that decides once whether the push can affect any image; the other 11 jobs carry `needs: changes` plus an `if:` on its output. Verified against the shipped `Dockerfile`: the final stage copies only `entrypoint.sh`, `healthcheck.sh` and the `local-ai` binary, there is no `go:embed` of `gallery/` or `docs/`, and the gallery is fetched at runtime from `github:mudler/LocalAI/gallery/index.yaml@master`. A gallery-only commit therefore produces byte-identical images, and the gallery change reaches users through GitHub immediately whether or not an image is rebuilt.
Two properties to preserve if you touch it:
- **It is a job gate, not `paths-ignore`.** `paths-ignore` on `push` also applies to tag pushes, and a tag created on an existing commit carries an empty commits list, which would silently skip the release image build. The gate short-circuits to "build" for `refs/tags/*`, and for any push whose base commit is missing, zero, or unresolvable.
- **The merge jobs must name the gate explicitly.** They use `if: ${{ !cancelled() && ... }}`, and `!cancelled()` is true when a dependency is *skipped*, so without the extra condition they would run and try to merge manifest lists for images that were never built.
## The `DEPS_REFRESH` cache-buster (Python backends)
Every Python backend goes through the shared `backend/Dockerfile.python`, which ends with:
@@ -151,15 +240,38 @@ RUN --mount=type=cache,target=/root/.ccache,id=<backend>-ccache-${TARGETARCH}-${
bash /usr/local/sbin/compile.sh
```
The compile script exports `CMAKE_C/CXX/CUDA_COMPILER_LAUNCHER=ccache` so CMake threads ccache through gcc/g++/nvcc. `cache-to: type=registry,mode=max` exports the cache mount data into the registry cache, so subsequent builds restore it.
The compile script exports `CMAKE_C/CXX/CUDA_COMPILER_LAUNCHER=ccache` so CMake threads ccache through gcc/g++/nvcc. Cache scope is per `(TARGETARCH, BUILD_TYPE)` so e.g. cublas-12 doesn't share with cublas-13 (their CUDA headers differ; cross-pollination would just be cache misses anyway).
On a `LLAMA_VERSION` bump, most translation units are byte-identical to the previous version's preprocessed source — ccache returns the previous `.o` and skips the real compile. Same for LocalAI source changes that don't actually touch llama.cpp's CMake inputs. Cache scope is per `(TARGETARCH, BUILD_TYPE)` so e.g. cublas-12 doesn't share with cublas-13 (their CUDA headers differ; cross-pollination would just be cache misses anyway).
### ⚠️ This ccache does nothing in CI today
This section previously claimed that `cache-to: type=registry,mode=max` "exports the cache mount data into the registry cache, so subsequent builds restore it". **That is not true.** BuildKit does not export the contents of a `--mount=type=cache` to a registry cache export. A cache mount lives in the builder's local state, and every CI job gets a fresh runner with a fresh builder, so `/root/.ccache` starts empty on every single build.
Measured on 2026-07-30 from the `ccache -s` output the compile script already prints (it runs `ccache -z` first, so the numbers are per-build):
| Job | Commit touched | Build time | ccache |
|---|---|---|---|
| 89766266951 (llama-cpp, cublas 13) | `backend/go/magpie-tts-cpp/Makefile` only | 6369s | **0 / 889 hits**, and 0 / 1778 |
| 89766267281 (llama-cpp, hipblas) | same commit | 8160s | **0 / 537 hits** |
| 90210828110 (llama-cpp, cublas 12.8) | `LLAMA_VERSION` bump | 5673s | **0 / 813 hits** |
The first two are the decisive control: commit `90355cd44` changed exactly one file, `backend/go/magpie-tts-cpp/Makefile`, nowhere near llama.cpp. The engine source was byte-identical to the previous build, which is precisely the case this section says ccache should serve, and the hit rate was still **0.00%**. A cache that was being restored but merely matching poorly would show partial hits; 0-of-N is the signature of an empty cache.
So the paragraph above about `LLAMA_VERSION` bumps reusing previous `.o` files describes an intended design that is not in effect. `Dockerfile.{llama-cpp,ik-llama-cpp,turboquant,bonsai,ds4,privacy-filter}` pay the ccache wrapper overhead and get nothing back. Multi-hour C++ rebuilds are recompiling identical translation units from scratch.
**Do not "fix" this by adding cache mounts to more Dockerfiles.** Wiring the same mount into `Dockerfile.golang` (215 of the 434 matrix entries) was measured locally at 18% faster on a rebuild after a source edit, with a 71.5% ccache hit rate — but only because the local test reused one builder across both builds. In CI it would be a no-op for exactly the reason above.
Making this actually work needs the cache to live outside the builder. The options, none of them free:
- **ccache `remote_storage`** (ccache ≥ 4.4, HTTP or Redis backend) or **sccache** with an S3/GCS/Redis backend. Genuinely works across runners; needs a cache service to point at. quay.io is a registry, not a blob store, so the existing infra does not cover it.
- **Round-trip the cache dir through `actions/cache` on the runner**: restore it, pass it in, and export it back out via a build stage output. No external infra, but clunky, and the repo already sits at GitHub's 10 GB cache ceiling while the llama-cpp ccache alone is capped at 5 GB.
Until one of those lands, treat C++ backend builds as always-cold and spend the effort on not running them instead (path filtering, see above).
## Composite actions
Two composite actions handle runner-side prep:
- **`.github/actions/free-disk-space/action.yml`** — wraps `jlumbroso/free-disk-space@main` plus an explicit apt purge of dotnet/android/ghc/mono/etc. Reclaims ~610 GB on `ubuntu-latest`. No-op on self-hosted runners. Used by `backend_build.yml`, `image_build.yml`, `test.yml`, `tests-aio.yml`, etc.
- **`.github/actions/free-disk-space/action.yml`** — wraps `jlumbroso/free-disk-space@main` plus an explicit apt purge of dotnet/android/ghc/mono/etc. Reclaims ~610 GB on `ubuntu-latest`. No-op on self-hosted runners. Used by `backend_build.yml`, `image_build.yml` and `base-images.yml` — the jobs that actually build images. Deliberately **not** used by `test.yml`, which runs no buildx step.
- **`.github/actions/setup-build-disk/action.yml`** — relocates Docker's data-root to `/mnt` on hosted X64 runners. GHA hosted `ubuntu-latest` ships ~75 GB of unused space at `/mnt`; combined with the free-disk-space cleanup this gives ~100 GB working space — enough for ROCm dev image + vLLM torch install + flash-attn intermediate layers. No-op on self-hosted and on non-X64 hosted runners. Used by `backend_build.yml`, `image_build.yml`, `base-images.yml`.
Both actions run before any docker buildx step.
@@ -200,10 +312,20 @@ Eviction is rarely needed in normal operation — `DEPS_REFRESH` handles weekly
## What the cache does **not** cover
- The `free-disk-space` and `setup-build-disk` composite actions run on every job — these reclaim runner-state, not Docker layers, so BuildKit caches don't apply.
- The `free-disk-space` and `setup-build-disk` composite actions run on every job — these reclaim runner-state, not Docker layers, so BuildKit caches don't apply. `test.yml` deliberately does **not** use `free-disk-space`: it runs no buildx step, and the multi-GB fixture downloads that once justified it left `make test` in the test-suite reorg.
- Intermediate artifacts of `Build (PR)` are not pushed anywhere — PRs only build for verification.
- Darwin builds (see below) — macOS runners have no Docker daemon, so the registry-backed BuildKit cache cannot apply.
### The Linux Go workflows set `cache: false` on purpose
`test.yml`, `lint.yml`, `tests-e2e.yml` and friends pass `cache: false` to `actions/setup-go@v5`, unlike the darwin jobs. This looks like an oversight and is not.
Measured over the week to 2026-07-30, the `Set up Go` step has a **median of 11 seconds** on these runners. There is essentially nothing to win: the module download is not where the time goes. The expensive steps are compilation and test execution (`Test (with coverage gate)` at ~18.6min, `Test Backend E2E` at ~14.5min), and Go's build cache would have to survive across runners to touch those.
Enabling it also has a real cost. GitHub caps Actions cache at **10 GB per repo and the repo already sits at that ceiling** (31 entries), so every `setup-go` entry written by a branch with a distinct `go.sum` (222-375 MB on Linux, up to 1.4 GB on macOS) evicts something else. See the darwin cache budget below.
Before re-enabling this, measure `Set up Go` again and confirm it has actually become slow. If room is needed in the 10 GB budget, the cheapest evictions are the `docker.io--tonistiigi--binfmt` entries (~30 MB each, trivially re-fetched).
## Darwin native caches
`backend_build_darwin.yml` runs natively on `macOS-14` GitHub-hosted runners — there is no Docker, no BuildKit, no cross-job registry cache. Instead, the reusable workflow uses `actions/cache@v4` for four native caches that mirror the spirit of the Linux cache (warm by default, weekly refresh for unpinned Python deps, PRs read-only).
@@ -237,6 +359,26 @@ GitHub Actions caches are limited to 10 GB per repo. Steady-state worst case: ~8
One residual self-hosted reference remains in `test-extra.yml` (`tests-vibevoice-cpp-grpc-transcription` uses `bigger-runner` for the 30s JFK-decode timeout headroom). That's a separate concern.
### Small always-on jobs routed to `arc-runner-set`
The hosted pool is shared across the whole *account*, not per repo, so a burst in one repo starves the others. On 2026-07-31 it went to **zero scheduled jobs for 35 consecutive minutes** with 39 jobs queued, while `arc-runner-set` completed 12 jobs without interruption over the same window. Actions was healthy globally at the time (other public repos were scheduling normally), so this is an account-level throttle, not an outage.
`gh-pages.yml` (`build` + `deploy`) is therefore routed to `arc-runner-set` when `github.repository == 'mudler/LocalAI'`. It needs no fork-safety clause because it only triggers on push-to-master and `workflow_dispatch`, so it never executes pull-request code. The repository guard keeps forks (which have no such runner label) from queueing forever. It fetches its own toolchains via `setup-go` / `actions-hugo` and uses no `sudo`/`apt`.
#### What the `arc-runner-set` image actually contains
Measured 2026-07-31 on run `30637392862` by a preflight step, not assumed:
| present | **absent** |
|---|---|
| `git`, `curl`, `unzip`, `tar`, `ldd`, `python3` | **`make`**, **`gcc`** |
That is why `lint.yml` is **not** on the self-hosted pool. Both of its jobs were routed there and both failed in one second: `golangci-lint` needs `make` (for `make protogen-go`, itself needing `curl`+`unzip` to fetch protoc, and for `make lint`), and `build-scripts` additionally needs a C toolchain because the packaging-script tests compile a throwaway binary and inspect it with `ldd`. Both jobs are back on `ubuntu-latest`.
The preflight steps were deliberately left in place. They cost about a second on the hosted pool and mean that whenever the runner image gains `make` + `gcc`, re-routing is one `runs-on:` line per job and any remaining gap reports itself by name rather than as an opaque mid-build failure.
Note for any future re-route: `lint.yml` also triggers on `pull_request`, and a fork PR runs untrusted contributor code. That must never reach a persistent self-hosted runner, so any re-route has to stay push-only, e.g. `${{ (github.event_name == 'push' && github.repository == 'mudler/LocalAI') && 'arc-runner-set' || 'ubuntu-latest' }}`.
## Touching the cache pipeline
When changing `image_build.yml`, `backend_build.yml`, any of the `backend/Dockerfile.*` files, `Dockerfile.base-grpc-builder`, `.docker/install-base-deps.sh`, `.docker/<backend>-compile.sh`, or `scripts/changed-backends.js`:

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@@ -65,7 +65,42 @@ This is enforced by `forbidigo` (see `.golangci.yml`): `http.DefaultClient` and
The project documentation is located in `docs/content`. When adding new features or changing existing functionality, it is crucial to update the documentation to reflect these changes. This helps users understand how to use the new capabilities and ensures the documentation stays relevant.
- **Docs-with-code rule**: When you change user-facing behavior (API endpoints, CLI flags, config keys, or features), update the corresponding page under `docs/content/` in the SAME change, not as a follow-up. A user-facing change without a matching docs update is incomplete. The PR template carries a checklist item for this.
- **Feature Documentation**: If you add a new feature (like a new backend or API endpoint), create a new markdown file in `docs/content/features/` explaining what it is, how to configure it, and how to use it.
- **Configuration**: If you modify configuration options, update the relevant sections in `docs/content/`.
- **Examples**: providing concrete examples (like YAML configuration blocks) is highly encouraged to help users get started quickly.
- **Shortcodes**: Use `{{% notice note %}}`, `{{% notice tip %}}`, or `{{% notice warning %}}` for callout boxes. Do **not** use `{{% alert %}}` — that shortcode does not exist in this project's Hugo theme and will break the docs build.
## React UI styling
The React UI ships a design system in `core/http/react-ui/src/App.css`: design
tokens, form grids, data tables, stat cards, callouts, plus a small semantic
primitive layer (`.stack`, `.hstack`, `.text-note`, `.text-meta`, `.tone-*`,
`.icon-chip`). **Use it instead of `style={{ ... }}`.** Inline styles are a
spacing or colour decision made in one file, so no two pages end up sharing a
rhythm, which is the main reason the app reads as unfinished.
Inline styles are still correct for values that are genuinely computed at
runtime: `width: ${pct}%`, a data-driven `background`, a tooltip's coordinates.
Everything else belongs in a class.
A ratchet enforces this:
```sh
cd core/http/react-ui
npm run lint:inline-styles # fails if the count went UP
npm run lint:inline-styles:report # per-file counts, worst first
npm run lint:inline-styles:write # refresh the baseline after converting
```
The gate also fails on **duplicate `className` attributes on one element**. JSX
keeps the last and silently drops the first, so `<i className={icon}
className="text-xs" />` loses its icon while passing lint, the build and the e2e
suite. Converting a style to a class on an element that already has a
`className` is the usual way to introduce one; merge them into a single
attribute instead.
When converting a page, prefer naming the shapes it actually has
(`.p2p-diagram`, `.usage-tile`) over adding more utilities, and check whether an
existing block already covers it: the Nodes page reuses the P2P setup shapes,
and Model Editor reuses the Settings section rail.

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@@ -0,0 +1,26 @@
# Preparing a Release
A release is not finished when the tag is pushed. The GitHub release, the blog post and the demo clips ship together, because the changelog says what moved and the post and the clips are what make anyone care.
## What a release must include
1. **Labels on the merged PRs.** GitHub generates the raw notes from PR labels, so label first, generate second. Wrong labels mean a miscategorised changelog that has to be edited by hand.
2. **`RELEASE_NOTES_vX.Y.Z.md`** at the repository root, in the house style: what changed, why it matters, PR numbers so people can read the diffs.
3. **A blog post under `website/content/blog/`.** One post per release, front matter with `title`, `date`, `author`, `category: "Release"`, `tags`, `summary` and `extracss: ["blog.css"]`. Cover the two or three changes that alter what a user does day to day, not the whole changelog, and link the PR numbers. See `website/content/blog/what-landed-in-localai-4-8.md` for the shape.
4. **Demo clips for the notable features.** Anything visible (a new backend, a UI change, a new endpoint, a measured speedup) gets a short screen recording. Put the file in `website/static/media/`, reference it from the blog post, and reuse it on the marketing pages where it fits.
A release without a post and without clips is incomplete, in the same way a user-facing code change without a docs update is incomplete.
## Clip conventions
- MP4, H.264, no audio track unless the feature is about audio. Keep them short (10 to 30 seconds) and loopable.
- Record the real thing. A clip from the engine's own benchmark suite or a real session, never a mockup.
- Where the change is a speedup, record both sides on the same machine on the same input, so the comparison is honest.
- Name the file after the feature, not the release (`vllm-race.mp4`, not `v4-8-demo.mp4`), so it stays reusable once the release is old.
- The marketing site plays clips with `muted loop playsinline preload="none"` and a `data-lazy` attribute, which the site's IntersectionObserver uses to play and pause them on scroll. Follow that pattern for anything you add.
## Order of work
Label the PRs, generate and edit the release notes, cut the draft release, record the clips while the branch is still fresh in your head, then write the post against the notes and the clips. Publishing the release and merging the post should happen on the same day.
The `creating-localai-releases` skill drives steps 1 to 3 and captures the React UI screenshots that go into the notes.

View File

@@ -21,6 +21,17 @@ options:
- reasoning_parser:qwen3
```
## `Options[]` doubles as CLI-style engine flags
Beyond the parser names above, `Options[]` carries `--` prefixed engine flags (`--enable-prefix-caching`, `--kv-cache-dtype:fp8_e5m2`). `apply_options_to_engine_args` in `backend/python/common/vllm_utils.py` maps them onto `AsyncEngineArgs` fields, and it must run **before** `AsyncLLMEngine.from_engine_args()` - applying them afterwards is a silent no-op, which is exactly what issue #11130 was.
Things to keep straight when touching this:
- Precedence is typed proto fields → `options:``engine_args:`. `applyEngineArgDefaults` in `core/config/hooks_vllm.go` therefore skips seeding a production default whose key the user already set as an option, otherwise the later `engine_args:` pass would silently override them.
- Only `--` prefixed entries are engine flags; `tool_parser:`/`reasoning_parser:` and friends keep their meaning. Parser lookups accept both spellings via `normalize_option_key`.
- Unknown or uncoercible flags warn and are skipped, unlike `engine_args:` which is strict - `Options[]` is a shared bag and knows entries this mapping doesn't.
- Field types come from the annotation's *base* (`Literal["auto","float16"]` is not a float). The helper's tests are stdlib-only: `make test-python-helpers`.
Auto-defaults for known model families live in `core/config/parser_defaults.json` and are applied:
- at gallery import time by `core/gallery/importers/vllm.go`
- at model load time by the `vllm` / `vllm-omni` backend hook in `core/config/hooks_vllm.go`

39
.docker/bonsai-compile.sh Executable file
View File

@@ -0,0 +1,39 @@
#!/usr/bin/env bash
# Shared compile logic for backend/Dockerfile.bonsai.
# Sourced (via bind mount) from both builder-fromsource and builder-prebuilt stages.
set -euxo pipefail
export CCACHE_DIR=/root/.ccache
ccache --max-size=5G || true
ccache -z || true
export CMAKE_ARGS="${CMAKE_ARGS:-} -DCMAKE_C_COMPILER_LAUNCHER=ccache -DCMAKE_CXX_COMPILER_LAUNCHER=ccache -DCMAKE_CUDA_COMPILER_LAUNCHER=ccache"
if [[ -n "${CUDA_DOCKER_ARCH:-}" ]]; then
CUDA_ARCH_ESC="${CUDA_DOCKER_ARCH//;/\\;}"
export CMAKE_ARGS="${CMAKE_ARGS} -DCMAKE_CUDA_ARCHITECTURES=${CUDA_ARCH_ESC}"
echo "CMAKE_ARGS(env) = ${CMAKE_ARGS}"
rm -rf /LocalAI/backend/cpp/bonsai-*-build
fi
cd /LocalAI/backend/cpp/bonsai
if [ -z "${BUILD_TYPE:-}" ]; then
# Pure CPU image: one ggml CPU_ALL_VARIANTS build replaces the per-microarch binaries.
# arm64: the armv9.2 SME variants need gcc-14 (gcc-13 rejects +sme).
if [ "${TARGETARCH}" = "arm64" ]; then
apt-get update -qq && apt-get install -y -qq gcc-14 g++-14
export CC=gcc-14 CXX=g++-14
fi
make bonsai-cpu-all
else
# GPU build (cublas/hipblas/sycl/vulkan/...): single fallback CPU build, the accelerator
# does the compute. Keeps the GPU compile from also building the CPU variant matrix and
# avoids the gcc-14 apt step on GPU base images such as nvidia l4t.
make bonsai-fallback
fi
make bonsai-grpc
make bonsai-rpc-server
ccache -s || true

View File

@@ -113,6 +113,54 @@ if [ "${BUILD_TYPE:-}" = "vulkan" ] && [ "${SKIP_DRIVERS:-false}" = "false" ]; t
rm -rf /var/lib/apt/lists/*
fi
# --- 2b. Intel graphics driver (BUILD_TYPE=sycl*) ---
# The Intel oneAPI base image brings the compilers and the oneAPI libraries, but
# not the driver that talks to the graphics card. The packaging step copies that
# driver into the backend, so that the backend works on a machine which has no
# Intel graphics packages of its own, for the same reason the Vulkan section
# above installs the Mesa drivers. Install it here so there is something to copy.
#
# Only the sycl builds are covered, because those are the ones whose packaging
# copies the driver. See package_intel_libs in scripts/build/package-gpu-libs.sh.
#
# The driver comes from Intel's own package repository, not from the Ubuntu
# archive. The archive has 23.43 from late 2023, which does not know any card
# released since, so a machine with a recent Intel GPU would end up carrying a
# driver that cannot drive it. Intel's repository has 25.18 for the same Ubuntu
# release.
#
# Anything that goes wrong here fails the build, on purpose. An unreachable
# repository is a passing problem that a retry fixes, whereas carrying a
# different driver than intended, or none, is a difference nobody would notice
# until a user reports an idle GPU.
if case "${BUILD_TYPE:-}" in sycl*) true;; *) false;; esac \
&& [ "${SKIP_DRIVERS:-false}" = "false" ]; then
# Ubuntu release name, which is what the repository is indexed by.
ubuntu_codename=$(. /etc/os-release && echo "${VERSION_CODENAME:-}")
if [ -z "$ubuntu_codename" ]; then
echo "ERROR: cannot tell which Ubuntu release this image is, so cannot pick the Intel driver repository" >&2
exit 1
fi
# The key is armored text, which apt reads directly from a .asc file, so
# there is no need for gnupg here. "unified" is the component Intel ships
# its current driver in.
mkdir -p /usr/share/keyrings
curl -fsSL https://repositories.intel.com/gpu/intel-graphics.key \
-o /usr/share/keyrings/intel-graphics.asc
echo "deb [arch=amd64 signed-by=/usr/share/keyrings/intel-graphics.asc] https://repositories.intel.com/gpu/ubuntu ${ubuntu_codename} unified" \
> /etc/apt/sources.list.d/intel-graphics.list
apt-get update
# The first package holds the driver OpenCL talks to, the second the driver
# Level Zero talks to. Between them they pull in the compiler and the memory
# manager that both need.
apt-get install -y --no-install-recommends \
intel-opencl-icd \
libze-intel-gpu1
apt-get clean
rm -rf /var/lib/apt/lists/*
fi
# --- 3. CUDA toolkit (BUILD_TYPE=cublas|l4t) ---
if { [ "${BUILD_TYPE:-}" = "cublas" ] || [ "${BUILD_TYPE:-}" = "l4t" ]; } && [ "${SKIP_DRIVERS:-false}" = "false" ]; then
apt-get update

View File

@@ -0,0 +1,14 @@
#!/usr/bin/env bash
set -euo pipefail
arch=${1:?target architecture is required}
build_type=${2-}
# GPU arm64 base images do not consistently provide the gcc-14 toolchain needed
# to compile ggml's armv9.2 CPU variants. Keep their portable fallback until the
# builder images can supply that compiler.
if [ "$arch" = "arm64" ] && [ -n "$build_type" ]; then
echo llama-cpp-fallback
else
echo llama-cpp-cpu-all
fi

View File

@@ -18,27 +18,27 @@ if [[ -n "${CUDA_DOCKER_ARCH:-}" ]]; then
fi
cd /LocalAI/backend/cpp/llama-cpp
if [ -z "${BUILD_TYPE:-}" ]; then
# Pure CPU image (BUILD_TYPE empty): one build with ggml CPU_ALL_VARIANTS replaces the
# per-microarch binaries (x86: avx/avx2/avx512/fallback; arm64: armv8.x/armv9.x). ggml
# dlopens the best libggml-cpu-*.so at runtime by probing host CPU features.
BUILD_TARGET=$(/LocalAI/.docker/llama-cpp-build-target.sh "${TARGETARCH}" "${BUILD_TYPE:-}")
if [ "$BUILD_TARGET" = "llama-cpp-cpu-all" ]; then
# One build with ggml CPU_ALL_VARIANTS replaces the per-microarch binaries (x86:
# avx/avx2/avx512/fallback; arm64: armv8.x/armv9.x). BUILD_TYPE remains in the
# environment, so GPU builds retain their accelerator backend while ggml dlopens the
# best CPU library when work is offloaded to the host.
#
# arm64: the CPU_ALL_VARIANTS table includes armv9.2 SME variants whose -march=...+sme is
# rejected by the Ubuntu 24.04 default gcc-13. gcc-14 accepts it, so build the arm64
# variants with it (the host never *selects* SME unless it has it, but every variant must
# still compile).
if [ "${TARGETARCH}" = "arm64" ]; then
# The prebuilt base inherits default ports.ubuntu.com sources; honor the
# APT_*_MIRROR build args here like the from-source path does, so this
# apt step survives a mirror outage.
sh /LocalAI/.docker/apt-mirror.sh || true
apt-get update -qq && apt-get install -y -qq gcc-14 g++-14
export CC=gcc-14 CXX=g++-14
fi
make llama-cpp-cpu-all
else
# GPU build (cublas/hipblas/sycl/vulkan/...): the accelerator does the compute, so a
# single fallback CPU build is enough - no per-microarch CPU variants needed. (This also
# keeps the heavy GPU backend compile from also building the whole CPU variant matrix,
# and avoids the gcc-14 apt step on GPU base images such as nvidia l4t.)
make llama-cpp-fallback
fi
make "$BUILD_TARGET"
make llama-cpp-grpc
make llama-cpp-rpc-server

View File

@@ -0,0 +1,14 @@
#!/usr/bin/env bash
set -euo pipefail
arch=${1:?target architecture is required}
build_type=${2-}
# GPU arm64 base images do not consistently provide the gcc-14 toolchain needed
# to compile ggml's armv9.2 CPU variants. Keep their portable fallback until the
# builder images can supply that compiler.
if [ "$arch" = "arm64" ] && [ -n "$build_type" ]; then
echo turboquant-fallback
else
echo turboquant-cpu-all
fi

View File

@@ -19,20 +19,18 @@ fi
cd /LocalAI/backend/cpp/turboquant
if [ -z "${BUILD_TYPE:-}" ]; then
# Pure CPU image: one ggml CPU_ALL_VARIANTS build replaces the per-microarch binaries.
BUILD_TARGET=$(/LocalAI/.docker/turboquant-build-target.sh "${TARGETARCH}" "${BUILD_TYPE:-}")
if [ "$BUILD_TARGET" = "turboquant-cpu-all" ]; then
# BUILD_TYPE remains in the environment, so GPU builds retain their accelerator while
# ggml selects the best CPU library when model work is offloaded to the host.
# arm64: the armv9.2 SME variants need gcc-14 (gcc-13 rejects +sme).
if [ "${TARGETARCH}" = "arm64" ]; then
sh /LocalAI/.docker/apt-mirror.sh || true
apt-get update -qq && apt-get install -y -qq gcc-14 g++-14
export CC=gcc-14 CXX=g++-14
fi
make turboquant-cpu-all
else
# GPU build (cublas/hipblas/sycl/vulkan/...): single fallback CPU build, the accelerator
# does the compute. Keeps the GPU compile from also building the CPU variant matrix and
# avoids the gcc-14 apt step on GPU base images such as nvidia l4t.
make turboquant-fallback
fi
make "$BUILD_TARGET"
make turboquant-grpc
make turboquant-rpc-server

View File

@@ -40,6 +40,16 @@ backend/cpp/privacy-filter/build
backend/cpp/privacy-filter/grpc-server
backend/cpp/privacy-filter/package
# audio-cpp: same in-place pattern. The Makefile clones audio.cpp at the pinned
# AUDIO_CPP_VERSION and the `audio.cpp:` target is the directory itself, so a
# stale host checkout COPY'd in makes the build compile against whatever commit
# the host had. build/ is worse than stale: its CMakeCache.txt records the host
# source, prefix and compiler paths, and cmake refuses to reconfigure from it.
backend/cpp/audio-cpp/audio.cpp
backend/cpp/audio-cpp/build
backend/cpp/audio-cpp/grpc-server
backend/cpp/audio-cpp/package
# Rust backend build output (sources are tracked; target/ is generated)
backend/rust/*/target

View File

@@ -1,60 +0,0 @@
#!/usr/bin/env sh
#
# LocalAI pre-commit hook. Install it (once per clone) with:
#
# make install-hooks
#
# Runs only the checks relevant to what's staged:
# - Go files -> make lint + make test-coverage-check
# - core/http/react-ui -> make test-ui-coverage-check (Playwright e2e + gate)
# A commit touching neither is skipped entirely (docs/YAML/etc. can't change
# lint findings, Go coverage, or the UI).
#
# To bypass for a single commit (e.g. a WIP checkpoint): git commit --no-verify
set -eu
repo_root="$(git rev-parse --show-toplevel)"
cd "$repo_root"
staged="$(git diff --cached --name-only --diff-filter=ACMRD)"
go_changed=0
ui_changed=0
if echo "$staged" | grep -qE '\.go$'; then go_changed=1; fi
if echo "$staged" | grep -qE '^core/http/react-ui/'; then ui_changed=1; fi
if [ "$go_changed" -eq 0 ] && [ "$ui_changed" -eq 0 ]; then
echo "pre-commit: no Go or React UI changes staged — skipping."
exit 0
fi
if [ "$go_changed" -eq 1 ]; then
# Resolve the ref golangci-lint's new-from-merge-base should compare
# against. .golangci.yml pins origin/master, which is correct in CI
# (origin == the canonical repo) but wrong from a fork clone, where
# origin/master lags behind and lint would report the whole upstream
# backlog. Prefer upstream/master, then origin/master, then master.
lint_base=""
for ref in upstream/master origin/master master; do
if git rev-parse --verify --quiet "${ref}^{commit}" >/dev/null 2>&1; then
lint_base="$ref"
break
fi
done
echo "pre-commit ▶ golangci-lint (make lint${lint_base:+, new-from $lint_base})"
make lint LINT_NEW_FROM="$lint_base"
echo "pre-commit ▶ coverage gate (make test-coverage-check) — builds and runs the"
echo " pkg/core suites plus tests/e2e; can take a few minutes."
make test-coverage-check
fi
if [ "$ui_changed" -eq 1 ]; then
echo "pre-commit ▶ React UI e2e + coverage gate (make test-ui-coverage-check) —"
echo " rebuilds the UI + ui-test-server, runs the Playwright specs, and"
echo " fails if line coverage regressed; can take a couple of minutes."
make test-ui-coverage-check
fi
echo "pre-commit ✓ all relevant checks passed"

View File

@@ -7,6 +7,7 @@ This PR fixes #
**[Signed commits](../CONTRIBUTING.md#signing-off-on-commits-developer-certificate-of-origin)**
- [ ] Yes, I signed my commits.
- [ ] Documentation updated (docs/content/) for user-facing changes, or not applicable
<!--
Thank you for contributing to LocalAI!

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File diff suppressed because it is too large Load Diff

18
.github/bump_deps.sh vendored
View File

@@ -1,5 +1,8 @@
#!/bin/bash
set -xe
source "$(dirname "${BASH_SOURCE[0]}")/gh_curl.sh"
REPO=$1
BRANCH=$2
VAR=$3
@@ -9,7 +12,20 @@ if [ -z "$FILE" ]; then
FILE="Makefile"
fi
LAST_COMMIT=$(curl -s -H "Accept: application/vnd.github.VERSION.sha" "https://api.github.com/repos/$REPO/commits/$BRANCH")
# gh_curl follows redirects so a renamed/transferred upstream repo (GitHub
# answers 301) still resolves, and fails on HTTP errors rather than letting an
# error page reach sed below. `|| true` keeps a failed lookup from aborting the
# script at exit 22 with no context — the SHA guard below reports it instead.
LAST_COMMIT=$(gh_curl -H "Accept: application/vnd.github.VERSION.sha" "https://api.github.com/repos/$REPO/commits/$BRANCH" || true)
# Guard the sed input: anything that is not a bare 40-hex SHA (an API error
# body, an empty response) would otherwise be spliced into the Makefile pin —
# either corrupting it silently or blowing up sed with an unterminated
# expression, which is how this job failed for a renamed repo.
if ! [[ "$LAST_COMMIT" =~ ^[0-9a-f]{40}$ ]]; then
echo "Refusing to bump $VAR: expected a 40-char commit SHA for $REPO@$BRANCH, got: $LAST_COMMIT" >&2
exit 1
fi
# Read $VAR from Makefile (only first match)
set +e

13
.github/bump_docs.sh vendored
View File

@@ -1,7 +1,18 @@
#!/bin/bash
set -xe
source "$(dirname "${BASH_SOURCE[0]}")/gh_curl.sh"
REPO=$1
LATEST_TAG=$(curl -s "https://api.github.com/repos/$REPO/releases/latest" | jq -r '.tag_name')
LATEST_TAG=$(gh_curl -H "Accept: application/vnd.github+json" \
"https://api.github.com/repos/$REPO/releases/latest" | jq -r '.tag_name')
# jq prints the string "null" for a missing key, so a throttled or otherwise
# unexpected API response would otherwise be published as the docs version.
if [ -z "$LATEST_TAG" ] || [ "$LATEST_TAG" = "null" ]; then
echo "Refusing to bump docs version: could not resolve the latest release tag for $REPO." >&2
exit 1
fi
cat <<< $(jq ".version = \"$LATEST_TAG\"" docs/data/version.json) > docs/data/version.json

View File

@@ -11,6 +11,9 @@
# darwin build can only use the exact vLLM version vllm-metal supports, so it may
# lag the Linux pin (requirements-cublas13-after.txt) until vllm-metal catches up.
set -xe
source "$(dirname "${BASH_SOURCE[0]}")/gh_curl.sh"
REPO=$1 # vllm-project/vllm-metal
FILE=$2 # backend/python/vllm/install.sh
VAR=$3 # VLLM_METAL_VERSION (used for the workflow's output file names)
@@ -22,12 +25,12 @@ fi
# vllm-metal ships frequent dev releases, all flagged as non-prerelease, so
# /releases/latest returns the newest one (with its cp312 wheel asset).
LATEST_TAG=$(curl -sS -H "Accept: application/vnd.github+json" \
LATEST_TAG=$(gh_curl -H "Accept: application/vnd.github+json" \
"https://api.github.com/repos/$REPO/releases/latest" \
| python3 -c "import json,sys; print(json.load(sys.stdin)['tag_name'])")
# The coupled vLLM source version lives in vllm-metal's installer at that tag.
NEW_VLLM_VERSION=$(curl -fsSL \
NEW_VLLM_VERSION=$(gh_curl \
"https://raw.githubusercontent.com/$REPO/$LATEST_TAG/install.sh" \
| grep -oE 'vllm_v="[0-9]+\.[0-9]+\.[0-9]+"' | head -1 | cut -d'"' -f2)

View File

@@ -9,6 +9,9 @@
# vars in Makefiles; this script handles the two-value rewrite specific to the
# vLLM requirements file.
set -xe
source "$(dirname "${BASH_SOURCE[0]}")/gh_curl.sh"
REPO=$1 # vllm-project/vllm
FILE=$2 # backend/python/vllm/requirements-cublas13-after.txt
VAR=$3 # VLLM_VERSION (used for output file names so the workflow can read them)
@@ -19,7 +22,7 @@ if [ -z "$FILE" ] || [ -z "$REPO" ] || [ -z "$VAR" ]; then
fi
# /releases/latest returns the most recent non-prerelease tag.
LATEST_TAG=$(curl -sS -H "Accept: application/vnd.github+json" \
LATEST_TAG=$(gh_curl -H "Accept: application/vnd.github+json" \
"https://api.github.com/repos/$REPO/releases/latest" \
| python3 -c "import json,sys; print(json.load(sys.stdin)['tag_name'])")

194
.github/ci/apexentries/README.md vendored Normal file
View File

@@ -0,0 +1,194 @@
# apexentries
Generates gallery entries for the `mudler/*-APEX-GGUF` HuggingFace repositories.
Each APEX repo becomes one **family**: one entry per quality rung the repo
publishes and one per quantization rung its unsloth counterpart publishes, all
gathered under the **base model's** entry. LocalAI's variant selector then picks
the build that fits the hardware in front of it.
## The hub is the base model entry, never a generated `*-apex` parent
Somebody looking for `qwen3.6-35b-a3b` must find every build of those weights
under that one name: the APEX imatrix rungs, the unsloth quant rungs and any
speculative build. A separate `qwen3.6-35b-a3b-apex` hub competing with the base
entry would split the family in two and leave whichever half the user did not
search for effectively invisible.
So the generator resolves the hub by stripping the `-APEX`, `-MTP` and `-TQ`
markers and looking the result up in the index, trying both the repo-derived and
the stem-derived candidate the same way `CounterpartCandidates` does. Then:
- **The hub exists** (14 of the 45 repos, resolving to 10 distinct entries).
Nothing new is emitted for the family root. A `variants:` block is spliced into
the entry that is already there, textually, leaving its description, icon,
tags, overrides and files untouched. The line editing is shared with the
`variantproposals` job via `.github/ci/galleryedit`.
- **The hub is absent** (the other 31). A new hub is emitted, named for the base
model and never for the APEX repo. It carries one of the discovered builds as
its own payload so it is a complete installable entry rather than a bare index,
and that payload is what gives it an `overrides.backend`. Without a declared
backend the verifier would skip it, so a hub carrying feature tags would escape
the tagging check in silence.
Several APEX repos routinely resolve to one base model, so both paths accumulate
by hub name rather than assuming one family per hub.
Two references are always filtered out of a hub's list: anything the entry
already declares, and the hub's own name. The self reference is not merely
redundant. An unsloth rung whose weights the gallery already ships under the base
name resolves, through the merge, straight back to the hub, and the verifier
reads a self reference as a variant that declares variants of its own.
The four hand-written `*-apex` entries (`qwen3.6-35b-a3b-apex`,
`gemma-4-26b-a4b-it-apex`, `qwen3.5-35b-a3b-apex`,
`nemotron-3-nano-omni-30b-a3b-reasoning-apex`) are **ordinary builds**, not hubs.
They are referenced from their hub's variants list like any other rung, and are
never deleted or renamed.
## Flags
| Flag | Default | Meaning |
|------|---------|---------|
| `-index <path>` | `gallery/index.yaml` | Gallery index to dedup against. Read only, unless `-apply` is passed. |
| `-only <a,b,c>` | (all) | Comma-separated full repo names (`mudler/Foo-APEX-GGUF`) to restrict generation to. A name that matches nothing is reported as a warning, since it is a typo rather than an empty result. |
| `-out <path>` | (none) | Write the entries to add to this file. Nothing is written to the gallery. |
| `-apply` | `false` | Splice the variants into `-index` and append the new entries to it. |
| `-verify <path>` | (none) | Verify a gallery index and exit. Ignores every other flag. |
Either `-out` or `-apply` is required, otherwise the run has nothing to do.
`-apply` splices variant lines into existing entries and **appends** new ones. It
never re-serialises the index: it is roughly 40,000 lines, and a YAML round trip
would reflow the whole file, drop the anchors and merge keys the gallery relies
on, and produce a diff nobody can review. On the three-family sample the splice
is 24 added lines across 3 hunks with zero deletions.
## Discovery is by filename suffix, never by repo name
Builds come from the files a repo actually publishes. A filename is never
constructed from a repo name, because the two disagree:
`mudler/gemma-4-26B-A4B-it-APEX-GGUF` ships `gemma-4-26B-A4B-APEX-*.gguf`, and
five other repos likewise drop a suffix (`-it`, `-2603`) or a vendor prefix
(`NVIDIA-`) that the repo name carries. Composing a URL from the repo name would
produce a 404 for every one of them, and the 404 would only surface after the
entry shipped.
The quality ladder is matched on the trailing tier marker, `-(I-)?(Quality|
Balanced|Compact|Mini|Nano).gguf`. The `I-` prefix marks the imatrix ladder. The
imatrix ladder is emitted when it is non-empty and the plain ladder is used only
as a fallback, because two of the 45 repos publish no imatrix tiers at all and
must still contribute. Eleven repos carry a fifth `I-Nano` rung, so nothing
assumes a fixed number of rungs.
Every run prints, per repo, the counts that discovery accounted for. If the
number of classified files is short of the number of `.gguf` files the repo
publishes, the shortfall is printed as `UNCLASSIFIED`. That check is a set
difference on counts rather than a second pass over filenames: a second matcher
would duplicate the tier regex and the two copies would drift. The failure it
catches is quiet. A publishing-script typo that breaks every imatrix filename in
a repo does not produce a short ladder; it makes the imatrix ladder empty, and
the fallback then downgrades the whole family to the plain ladder with nothing
said. A downstream HTTP check cannot catch it either, because it validates the
URLs that were emitted, and an undiscovered tier emits none.
The same reasoning applies to `UNACCOUNTED QUANT`, printed when the unsloth
counterpart demonstrably publishes a wanted quant that produced no build. It is
reported at discovery time because a dropped quant leaves no trace at all in the
finished gallery file.
## sha256 always comes from the API
Every file stanza takes its `sha256` from the HuggingFace models API
(`lfs.sha256`). A GGUF the API describes without one is a fatal error for that
family: the repo is reported by name and the run ends non-zero. It is never
substituted from another field, because that is exactly how a Xet hash ends up
masquerading as a content hash.
## The dflash / mtp tagging rule
An entry is tagged `dflash` or `mtp` **if and only if** it configures the
matching `spec_type:draft-<feature>`. Variant ranking reads tags and nothing
else, so a tag that does not match the configuration either promotes a build
that is no faster or hides one that genuinely is.
A repo name is not configuration. `mudler/Qwen3.6-35B-A3B-APEX-MTP-GGUF` ships
weights that carry MTP heads; an entry that does not enable them is not an MTP
entry and is not tagged as one.
A generated hub inherits the tags of the build it carries as its payload, rather
than rebuilding them from the base set, so a hub whose payload configures a
`spec_type` stays tagged consistently with the overrides copied alongside it.
## Reuse reporting: two categories, not one
Generated entries are deduped against the gallery and against the batch itself.
The run prints the result under two separate headings, because the two cases are
not equivalent:
- **URI MATCHES** mean the gallery, or an earlier entry in this batch, already
ships exactly these weights. Pointing the hub at the existing entry is correct
and needs no thought.
- **NAME COLLISIONS** mean an entry already owns the name but holds different
weights. Referencing it would point the hub at a build other than the one
generated. Every one of these must be inspected by hand.
The run then prints `HUBS SPLICED`, listing every reference that will be added to
an entry the gallery already ships along with the line it will be added at, and
`HUBS CREATED` for the families that get a new hub. The splices are the part a
review has to read closely, because they modify entries somebody else wrote.
Hubs are deliberately kept out of the merge. A new hub carries the family's top
rung as its own payload, so URI dedup would fold the hub into that rung and the
family would lose the very entry point this command exists to create.
## Workflow: sample first, then the full set
Never run the full generation straight into the gallery. Generate a small,
deliberately awkward sample, have it reviewed, then run the rest.
```bash
# 1. Sample three families that between them cover the awkward shapes:
# a standard four-rung repo, one with the extra I-Nano rung AND a file stem
# that differs from its repo name, and one whose unsloth counterpart shards
# its quants across subdirectories.
go run ./.github/ci/apexentries \
-index gallery/index.yaml \
-only mudler/Qwen3.6-35B-A3B-APEX-GGUF,mudler/gemma-4-26B-A4B-it-APEX-GGUF,mudler/Step-3.7-Flash-APEX-GGUF \
-out /tmp/sample.yaml
# 2. Verify the sample against the gallery it would join, splices included. Apply
# to a COPY, never to the real index, and check that the diff is only the
# intended variant lines. Compare the verifier output to the gallery's own
# baseline: what matters is that the sample adds no new problem, not that the
# total is zero.
cp gallery/index.yaml /tmp/index-copy.yaml
go run ./.github/ci/apexentries -index /tmp/index-copy.yaml -only <same list> -apply
diff -u gallery/index.yaml /tmp/index-copy.yaml # expect zero deletions
go run ./.github/ci/apexentries -verify gallery/index.yaml > /tmp/baseline.log 2>&1
go run ./.github/ci/apexentries -verify /tmp/index-copy.yaml > /tmp/spliced.log 2>&1
diff /tmp/baseline.log /tmp/spliced.log
# 3. Have a human review /tmp/sample.yaml and every reported name collision.
# 4. Only then, the full set.
go run ./.github/ci/apexentries -index gallery/index.yaml -apply
```
## Tests
```bash
go test ./.github/ci/apexentries/
```
The shared line editor has its own package:
```bash
go test ./.github/ci/galleryedit/
```
`.github/ci/` is invisible to `go list ./...`, so these specs are not covered by
`make lint` or the repository test run. `.github/workflows/ci-tools-tests.yaml`
names the package explicitly; keep that workflow in step with any package added
under `.github/ci/`.

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package main
import (
"regexp"
"strings"
)
// tierRE matches the tier marker APEX repos put at the end of a weight
// filename. Discovery is by suffix because the stem is not predictable from
// the repo name: six of the 45 repos drop a suffix ("-it", "-2603") or a
// vendor prefix ("NVIDIA-") that the repo name carries.
var tierRE = regexp.MustCompile(`-(I-)?(Quality|Balanced|Compact|Mini|Nano)\.gguf$`)
// fullPrecisionRE matches the unquantized source weights an APEX repo publishes
// alongside its ladder, flat (-F16.gguf) or sharded across a numbered set
// (-F16-00001-of-00010.gguf). bf16 is accepted because some repos publish that
// instead, and the match is case-insensitive because the casing varies between
// publishing scripts.
//
// These are deliberately not tiers: they are the weights the ladder is quantized
// FROM, and generation is scoped to the ladder itself.
var fullPrecisionRE = regexp.MustCompile(`(?i)-b?f16(-\d{5}-of-\d{5})?\.gguf$`)
// IsFullPrecision reports whether a weight filename is an unquantized source.
func IsFullPrecision(name string) bool {
return fullPrecisionRE.MatchString(name)
}
// Tier is one discovered build of an APEX repo.
type Tier struct {
Label string
File GGUFFile
}
// DiscoverAPEXTiers splits a repo's weight files into the imatrix ladder and
// the plain ladder. mmproj files are never tiers.
func DiscoverAPEXTiers(files []GGUFFile) (imatrix, plain []Tier) {
for _, f := range files {
if strings.HasPrefix(f.Name, "mmproj") {
continue
}
m := tierRE.FindStringSubmatch(f.Name)
if m == nil {
continue
}
if m[1] != "" {
imatrix = append(imatrix, Tier{Label: "I-" + m[2], File: f})
continue
}
plain = append(plain, Tier{Label: m[2], File: f})
}
return imatrix, plain
}
// DiscoverMMProj returns the repo's projector file, if it publishes one. The
// name varies across repos (mmproj.gguf, mmproj-F16.gguf,
// mmproj-step3.7-flash-f16.gguf), so match the prefix rather than a fixed name.
func DiscoverMMProj(files []GGUFFile) (GGUFFile, bool) {
for _, f := range files {
if strings.HasPrefix(f.Name, "mmproj") {
return f, true
}
}
return GGUFFile{}, false
}
// FileStem returns a tier's filename with its tier suffix removed.
func FileStem(t Tier) string {
return tierRE.ReplaceAllString(t.File.Name, "")
}

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package main
import (
. "github.com/onsi/ginkgo/v2"
. "github.com/onsi/gomega"
)
var _ = Describe("DiscoverAPEXTiers", func() {
It("finds tiers regardless of how the stem relates to the repo name", func() {
// This repo is mudler/gemma-4-26B-A4B-it-APEX-GGUF but its files drop "-it".
files := []GGUFFile{
{Name: "gemma-4-26B-A4B-APEX-I-Quality.gguf", SHA256: "a"},
{Name: "gemma-4-26B-A4B-APEX-I-Nano.gguf", SHA256: "b"},
{Name: "gemma-4-26B-A4B-APEX-Quality.gguf", SHA256: "c"},
{Name: "mmproj-F16.gguf", SHA256: "d"},
}
imatrix, plain := DiscoverAPEXTiers(files)
Expect(labels(imatrix)).To(ConsistOf("I-Quality", "I-Nano"))
Expect(labels(plain)).To(ConsistOf("Quality"))
})
It("excludes mmproj from the tier list", func() {
files := []GGUFFile{{Name: "mmproj.gguf", SHA256: "d"}}
imatrix, plain := DiscoverAPEXTiers(files)
Expect(imatrix).To(BeEmpty())
Expect(plain).To(BeEmpty())
})
})
var _ = Describe("DiscoverMMProj", func() {
It("finds an mmproj whatever its suffix", func() {
files := []GGUFFile{
{Name: "Model-APEX-I-Mini.gguf", SHA256: "a"},
{Name: "mmproj-step3.7-flash-f16.gguf", SHA256: "b"},
}
got, ok := DiscoverMMProj(files)
Expect(ok).To(BeTrue())
Expect(got.Name).To(Equal("mmproj-step3.7-flash-f16.gguf"))
})
It("reports absence when the repo ships none", func() {
_, ok := DiscoverMMProj([]GGUFFile{{Name: "Model-APEX-Quality.gguf", SHA256: "a"}})
Expect(ok).To(BeFalse())
})
})
var _ = Describe("FileStem", func() {
It("strips the tier suffix", func() {
t := Tier{Label: "I-Quality", File: GGUFFile{Name: "gemma-4-26B-A4B-APEX-I-Quality.gguf"}}
Expect(FileStem(t)).To(Equal("gemma-4-26B-A4B-APEX"))
})
})
func labels(ts []Tier) []string {
out := make([]string, 0, len(ts))
for _, t := range ts {
out = append(out, t.Label)
}
return out
}

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package main
import (
"encoding/json"
"errors"
"fmt"
"io"
"net/http"
"strings"
"time"
"github.com/mudler/LocalAI/pkg/httpclient"
)
// ErrNoSHA256 marks a GGUF the HuggingFace API describes without an
// lfs.sha256. Emitting an entry without a hash would ship an unverifiable
// download, and guessing one from another field is how a Xet hash ends up
// masquerading as a content hash, so this is fatal rather than skippable.
var ErrNoSHA256 = errors.New("gguf file has no lfs.sha256")
// GGUFFile is one .gguf sibling of a HuggingFace repo.
type GGUFFile struct {
Name string
Size int64
SHA256 string
}
type apiSibling struct {
RFilename string `json:"rfilename"`
Size int64 `json:"size"`
LFS *struct {
SHA256 string `json:"sha256"`
} `json:"lfs"`
}
type apiModel struct {
Siblings []apiSibling `json:"siblings"`
}
// ParseRepoFiles returns every .gguf sibling described by a models API body.
func ParseRepoFiles(body []byte) ([]GGUFFile, error) {
var m apiModel
if err := json.Unmarshal(body, &m); err != nil {
return nil, fmt.Errorf("decoding model response: %w", err)
}
var out []GGUFFile
for _, s := range m.Siblings {
if !strings.HasSuffix(s.RFilename, ".gguf") {
continue
}
if s.LFS == nil || s.LFS.SHA256 == "" {
return nil, fmt.Errorf("%s: %w", s.RFilename, ErrNoSHA256)
}
out = append(out, GGUFFile{Name: s.RFilename, Size: s.Size, SHA256: s.LFS.SHA256})
}
return out, nil
}
// FetchOptionalRepoFiles asks the models API for a repo the caller can do
// without, and reports separately whether the repo was merely unreadable.
//
// HuggingFace answers 401 Unauthorized, not 404, for a repo that does not exist
// when the request carries no credentials. Without a token there is therefore no
// way to tell "this repo was never published" from "this repo is private", so an
// optional probe has to treat 401 and 403 exactly like 404: whatever the reason,
// there is nothing here for us to read, so there is no counterpart.
//
// The second return value exists because that collapse is lossy in one
// direction: 401/403 can also mean a real, gated repo whose quants we would
// genuinely want. The caller reports those repos so a silently dropped
// counterpart is visible to a human rather than invisible.
func FetchOptionalRepoFiles(client *http.Client, repo string) ([]GGUFFile, bool, error) {
files, status, err := fetchRepoFiles(client, repo)
if err != nil && (status == http.StatusUnauthorized || status == http.StatusForbidden) {
return nil, true, nil
}
return files, false, err
}
// FetchRepoFiles asks the models API for one repo. A 404 yields (nil, nil) so
// that probing for an optional counterpart repo is not an error. Every other
// non-200, 401 and 403 included, is an error: for a repo the run REQUIRES there
// is no benign reading of "we cannot see it".
func FetchRepoFiles(client *http.Client, repo string) ([]GGUFFile, error) {
files, _, err := fetchRepoFiles(client, repo)
return files, err
}
// fetchRepoFiles does the request and returns the HTTP status alongside the
// result, so the optional and required callers can apply different policies to
// the same response without duplicating the request.
func fetchRepoFiles(client *http.Client, repo string) ([]GGUFFile, int, error) {
url := fmt.Sprintf("https://huggingface.co/api/models/%s?blobs=true", repo)
req, err := http.NewRequest(http.MethodGet, url, nil)
if err != nil {
return nil, 0, err
}
req.Header.Set("User-Agent", "localai-apexentries/1.0")
resp, err := client.Do(req)
if err != nil {
return nil, 0, err
}
defer resp.Body.Close()
if resp.StatusCode == http.StatusNotFound {
return nil, resp.StatusCode, nil
}
if resp.StatusCode != http.StatusOK {
return nil, resp.StatusCode, fmt.Errorf("%s: unexpected status %d", repo, resp.StatusCode)
}
body, err := io.ReadAll(resp.Body)
if err != nil {
return nil, resp.StatusCode, err
}
files, err := ParseRepoFiles(body)
return files, resp.StatusCode, err
}
// newHTTPClient builds the client used against the HuggingFace API. It goes
// through pkg/httpclient rather than a bare &http.Client{} because the std
// client follows redirects and forwards custom credential headers to the
// redirect target on a cross-host hop (GHSA-3mj3-57v2-4636). This caller sends
// only a User-Agent today, but it talks to an external API that could start
// redirecting, and an HF_TOKEN header here later would then leak.
func newHTTPClient() *http.Client {
return httpclient.NewWithTimeout(60 * time.Second)
}

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package main
import (
"bytes"
"io"
"net/http"
"testing"
. "github.com/onsi/ginkgo/v2"
. "github.com/onsi/gomega"
)
func TestApexEntries(t *testing.T) {
RegisterFailHandler(Fail)
RunSpecs(t, "apexentries")
}
// stubTransport answers every request with one canned status and body, so the
// status handling of the fetchers can be exercised without reaching the real
// HuggingFace API.
type stubTransport struct {
status int
body string
}
func (t stubTransport) RoundTrip(req *http.Request) (*http.Response, error) {
return &http.Response{
StatusCode: t.status,
Body: io.NopCloser(bytes.NewBufferString(t.body)),
Header: make(http.Header),
Request: req,
}, nil
}
func stubClient(status int, body string) *http.Client {
return &http.Client{Transport: stubTransport{status: status, body: body}}
}
const oneGGUFBody = `{"siblings":[{"rfilename":"Model-APEX-I-Quality.gguf","size":10,"lfs":{"sha256":"aa","size":10}}]}`
var _ = Describe("FetchOptionalRepoFiles", func() {
// HuggingFace answers 401 rather than 404 for a repo that does not exist
// when the client carries no credentials, so an optional probe cannot tell
// "absent" from "unauthorized" and must treat both as "no counterpart".
It("treats a 401 as an absent repo and flags it as unavailable", func() {
files, unavailable, err := FetchOptionalRepoFiles(stubClient(http.StatusUnauthorized, ""), "unsloth/Nope-GGUF")
Expect(err).ToNot(HaveOccurred())
Expect(files).To(BeEmpty())
Expect(unavailable).To(BeTrue())
})
It("treats a 403 as an absent repo and flags it as unavailable", func() {
files, unavailable, err := FetchOptionalRepoFiles(stubClient(http.StatusForbidden, ""), "unsloth/Gated-GGUF")
Expect(err).ToNot(HaveOccurred())
Expect(files).To(BeEmpty())
Expect(unavailable).To(BeTrue())
})
// A clean 404 is an unambiguous absence, so it must NOT be reported as
// unavailable: the whole point of the flag is to separate the ambiguous
// case a human may need to look at from the settled one.
It("treats a 404 as an absent repo without flagging it as unavailable", func() {
files, unavailable, err := FetchOptionalRepoFiles(stubClient(http.StatusNotFound, ""), "unsloth/Nope-GGUF")
Expect(err).ToNot(HaveOccurred())
Expect(files).To(BeEmpty())
Expect(unavailable).To(BeFalse())
})
It("parses a 200 body as usual", func() {
files, unavailable, err := FetchOptionalRepoFiles(stubClient(http.StatusOK, oneGGUFBody), "unsloth/Real-GGUF")
Expect(err).ToNot(HaveOccurred())
Expect(unavailable).To(BeFalse())
Expect(files).To(HaveLen(1))
Expect(files[0].Name).To(Equal("Model-APEX-I-Quality.gguf"))
Expect(files[0].SHA256).To(Equal("aa"))
})
// Tolerating 401/403 must not widen into tolerating everything: a 500 is a
// broken API, not evidence about whether the repo exists.
It("still errors on a 500", func() {
_, _, err := FetchOptionalRepoFiles(stubClient(http.StatusInternalServerError, ""), "unsloth/Real-GGUF")
Expect(err).To(HaveOccurred())
Expect(err.Error()).To(ContainSubstring("unexpected status 500"))
})
})
var _ = Describe("FetchRepoFiles", func() {
// The APEX repo itself is not optional. A 401 there means the repo the run
// was asked to publish cannot be read, which is a real failure and must not
// be quietly downgraded to "no files".
It("errors on a 401 for a required repo", func() {
_, err := FetchRepoFiles(stubClient(http.StatusUnauthorized, ""), "mudler/Model-APEX-GGUF")
Expect(err).To(HaveOccurred())
Expect(err.Error()).To(ContainSubstring("unexpected status 401"))
})
It("errors on a 403 for a required repo", func() {
_, err := FetchRepoFiles(stubClient(http.StatusForbidden, ""), "mudler/Model-APEX-GGUF")
Expect(err).To(HaveOccurred())
Expect(err.Error()).To(ContainSubstring("unexpected status 403"))
})
It("still treats a 404 as an absent repo", func() {
files, err := FetchRepoFiles(stubClient(http.StatusNotFound, ""), "mudler/Model-APEX-GGUF")
Expect(err).ToNot(HaveOccurred())
Expect(files).To(BeEmpty())
})
})
var _ = Describe("ParseRepoFiles", func() {
It("returns gguf siblings with their lfs sha256", func() {
body := []byte(`{"siblings":[
{"rfilename":"Model-APEX-I-Quality.gguf","size":10,"lfs":{"sha256":"aa","size":10}},
{"rfilename":"README.md"},
{"rfilename":"mmproj.gguf","size":5,"lfs":{"sha256":"bb","size":5}}
]}`)
files, err := ParseRepoFiles(body)
Expect(err).ToNot(HaveOccurred())
Expect(files).To(HaveLen(2))
Expect(files[0].Name).To(Equal("Model-APEX-I-Quality.gguf"))
Expect(files[0].SHA256).To(Equal("aa"))
Expect(files[1].Name).To(Equal("mmproj.gguf"))
})
It("reports a gguf that carries no lfs sha256", func() {
body := []byte(`{"siblings":[{"rfilename":"mmproj.gguf","size":5}]}`)
_, err := ParseRepoFiles(body)
Expect(err).To(MatchError(ErrNoSHA256))
})
})

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package main
import (
"fmt"
"os"
"strings"
"gopkg.in/yaml.v3"
"github.com/mudler/LocalAI/.github/ci/galleryedit"
)
// IndexText is the gallery index seen as text: the entries it declares plus the
// exact lines each one occupies, which is what splicing a variants block into an
// entry the gallery already ships requires.
//
// It is a second, narrower read of the same file LoadExisting parses. The two
// answer different questions: LoadExisting answers "do these weights already
// exist anywhere", this one answers "where in the file does this entry live".
type IndexText struct {
Lines []string
Entries []*indexEntry
byName map[string]*indexEntry
}
// indexEntry is one entry of the index: its name, the variants it already
// declares, and its coordinates in the file.
type indexEntry struct {
Name string `yaml:"name"`
Variants []VariantRef `yaml:"variants"`
Pos galleryedit.Entry `yaml:"-"`
}
// LoadIndexText reads the gallery index for editing.
func LoadIndexText(path string) (*IndexText, error) {
raw, err := os.ReadFile(path)
if err != nil {
return nil, err
}
return ParseIndexText(string(raw))
}
// ParseIndexText pairs the decoded entries with the top level list items the
// text actually contains.
//
// If the two views disagree on how many entries there are then every line number
// a splice would compute is suspect, and the failure mode is writing a variants
// block into the wrong model. The parse refuses instead.
func ParseIndexText(text string) (*IndexText, error) {
var entries []*indexEntry
if err := yaml.Unmarshal([]byte(text), &entries); err != nil {
return nil, fmt.Errorf("decoding gallery index: %w", err)
}
lines, starts := galleryedit.Scan(text)
if len(starts) != len(entries) {
return nil, fmt.Errorf("gallery index has %d decoded entries but %d top level list items; refusing to edit by line number",
len(entries), len(starts))
}
ix := &IndexText{Lines: lines, Entries: entries, byName: map[string]*indexEntry{}}
for i, e := range entries {
if e == nil {
return nil, fmt.Errorf("gallery index list item %d is empty; refusing to edit by line number", i)
}
end := len(lines)
if i+1 < len(starts) {
end = starts[i+1]
}
e.Pos = galleryedit.Entry{Name: e.Name, StartLine: starts[i], EndLine: end}
// First occurrence wins, matching the gallery's own resolution.
key := strings.ToLower(e.Name)
if _, seen := ix.byName[key]; !seen {
ix.byName[key] = e
}
}
return ix, nil
}
// Find looks an entry up by name, case insensitively.
func (ix *IndexText) Find(name string) *indexEntry {
return ix.byName[strings.ToLower(name)]
}
// ResolveHub returns the gallery name of a family's hub and whether the gallery
// already ships an entry under it.
//
// The hub is the BASE model entry, never a generated *-apex parent. Somebody
// looking for qwen3.6-35b-a3b has to find every build of those weights under
// that one name: the APEX imatrix rungs, the unsloth quant rungs and any
// speculative build. A separate qwen3.6-35b-a3b-apex hub competing with the base
// entry would split the family in two and leave whichever half the user did not
// search for invisible.
//
// Both candidates are tried for the same reason CounterpartCandidates tries
// both. The repo name and the published file stem disagree for several of these
// repos, and either one may be what the base entry was named after.
func ResolveHub(ix *IndexText, repoBase, stem string) (name string, exists bool) {
candidates := CounterpartCandidates(repoBase, stem)
for _, c := range candidates {
if n := slug(c); ix.Find(n) != nil {
return n, true
}
}
// Nothing matched, so the family needs a hub of its own under the repo
// derived name, which is the more reliable of the two.
return slug(candidates[0]), false
}
// HubLabel is the human-cased base model name, for prose rather than lookup.
func HubLabel(repoBase, stem string) string {
return CounterpartCandidates(repoBase, stem)[0]
}
// filterVariants drops the references a hub must not carry: itself, and anything
// it already lists.
//
// The self reference is not merely redundant. A hub that names itself makes the
// verifier resolve the reference back to the hub, see that the hub declares
// variants, and report a variant that declares variants of its own. It arises
// for real rather than in theory: an unsloth rung whose weights the gallery
// already ships under the base model name resolves, through Merge, straight back
// to the hub that is about to reference it.
func filterVariants(hub string, already []VariantRef, want []string) []string {
seen := map[string]bool{strings.ToLower(hub): true}
for _, v := range already {
seen[strings.ToLower(v.Model)] = true
}
var out []string
for _, w := range want {
key := strings.ToLower(w)
if seen[key] {
continue
}
seen[key] = true
out = append(out, w)
}
return out
}

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// Command apexentries generates gallery entries for the mudler APEX GGUF
// repositories: one entry per imatrix tier and per unsloth quant rung, all
// gathered under the BASE model's entry. Builds off a *-APEX-MTP-GGUF repo turn
// speculative decoding on, because those weights retain the model's MTP heads
// and are only worth their extra size with the heads in use.
//
// The base model entry is the hub. Somebody looking for qwen3.6-35b-a3b must
// find every build of those weights under that one name, so when the gallery
// already ships the base entry this command splices a variants block into it
// rather than emitting a competing *-apex parent beside it. Only a family whose
// base model the gallery does not ship at all gets a new hub entry, and that one
// is still named for the base model.
//
// Builds are discovered by inspecting the filenames a repo actually publishes.
// Repo names do not reliably predict them: mudler/gemma-4-26B-A4B-it-APEX-GGUF
// ships gemma-4-26B-A4B-APEX-*.gguf, and six of the 45 repos drop a suffix or a
// vendor prefix in the same way.
package main
import (
"encoding/json"
"flag"
"fmt"
"io"
"net/http"
"os"
"path"
"sort"
"strings"
"gopkg.in/yaml.v3"
"github.com/mudler/LocalAI/.github/ci/galleryedit"
)
const (
// entryTemplate carries no backend and no parameters of its own, which is
// why RenderChild states everything inline.
entryTemplate = "virtual.yaml"
unslothOwner = "unsloth"
authorListURL = "https://huggingface.co/api/models?author=mudler&limit=300"
)
// rungRank orders the quality ladder from best to smallest. The HuggingFace API
// returns siblings alphabetically and DiscoverAPEXTiers preserves that order, so
// an unsorted variants list reads I-Balanced, I-Compact, I-Mini, I-Nano,
// I-Quality. Selection ignores authored order, so this is purely so the file a
// human reviews scans in a meaningful sequence.
var rungRank = map[string]int{
"I-Quality": 0, "I-Balanced": 1, "I-Compact": 2, "I-Mini": 3, "I-Nano": 4,
"Quality": 5, "Balanced": 6, "Compact": 7, "Mini": 8, "Nano": 9,
}
// baseTags are the tags every generated entry carries. dflash and mtp are never
// among them: RenderChild adds those if and only if the entry configures the
// matching spec_type.
var baseTags = []string{"llm", "gguf", "cpu", "gpu"}
// childBuild pairs a rendered entry with its position on the quality ladder, so
// the parent's variants list can be sorted without re-parsing entry names.
type childBuild struct {
entry GalleryEntry
rank int
}
// family is one APEX repo's full generated output.
type family struct {
repo string
repoBase string
stem string
hasMMProj bool
children []childBuild
// skippedRepos are counterpart candidates HuggingFace would not describe.
// Carried on the family rather than printed and forgotten so the run can
// summarize them next to everything else a reviewer has to eyeball.
skippedRepos []string
census fileCensus
unaccounted int
}
// fileCensus splits the files discovery emitted nothing for into the ones a
// reviewer must chase and the ones that are deliberately out of scope.
//
// Full-precision sources are the second kind: they are the unquantized weights
// the ladder is derived FROM, not a rung of it. Folding them into the
// unclassified total would leave a permanent benign baseline, and a permanent
// baseline is exactly what hides the one file that ever genuinely matters.
type fileCensus struct {
unclassified int
fullPrecision int
}
// add accumulates one repo's census into a running total.
func (c *fileCensus) add(o fileCensus) {
c.unclassified += o.unclassified
c.fullPrecision += o.fullPrecision
}
// sortedChildren returns the family's builds in ladder order, best first.
func (f *family) sortedChildren() []childBuild {
sorted := append([]childBuild{}, f.children...)
sort.SliceStable(sorted, func(i, j int) bool { return sorted[i].rank < sorted[j].rank })
return sorted
}
func main() {
verify := flag.String("verify", "", "verify a gallery index and exit")
index := flag.String("index", "gallery/index.yaml", "gallery index to dedup against")
only := flag.String("only", "", "comma-separated repo names to restrict generation to")
out := flag.String("out", "", "write the entries to add to this file")
apply := flag.Bool("apply", false, "append the entries to add to -index")
flag.Parse()
if *verify != "" {
problems := Verify(*verify)
for _, p := range problems {
fmt.Fprintln(os.Stderr, p)
}
if len(problems) > 0 {
fmt.Fprintf(os.Stderr, "%d problem(s)\n", len(problems))
os.Exit(1)
}
fmt.Println("index is sound")
return
}
if err := generate(*index, *only, *out, *apply); err != nil {
fmt.Fprintln(os.Stderr, "error:", err)
os.Exit(1)
}
}
func generate(indexPath, only, outPath string, apply bool) error {
if outPath == "" && !apply {
return fmt.Errorf("nothing to do: pass -out <file> or -apply")
}
client := newHTTPClient()
repos, err := listAPEXRepos(client)
if err != nil {
return err
}
if only != "" {
repos = restrict(repos, only)
}
if len(repos) == 0 {
return fmt.Errorf("no APEX repos selected")
}
fmt.Printf("repos selected: %d\n", len(repos))
var families []family
var failed []string
for _, repo := range repos {
f, err := buildFamily(client, repo)
if err != nil {
// A missing sha256 is fatal for the family rather than skippable: an
// entry without one ships an unverifiable download. Report which repo
// and keep going, so one bad repo does not hide the state of the rest.
fmt.Fprintf(os.Stderr, "FAILED %s: %v\n", repo, err)
failed = append(failed, repo)
continue
}
families = append(families, *f)
}
existing, err := LoadExisting(indexPath)
if err != nil {
return err
}
ixText, err := LoadIndexText(indexPath)
if err != nil {
return err
}
fmt.Printf("existing index: %d names, %d weight URIs, %d lines\n",
len(existing.ByName), len(existing.ByURI), len(ixText.Lines))
// Only the builds go through Merge. A hub is deliberately kept out of it: a
// new hub carries the family's top rung as its own payload, so Merge's URI
// dedup would fold the hub into that rung and the family would lose the very
// entry point this command exists to create. Hub names are checked against
// the index directly, by ResolveHub.
var generated []GalleryEntry
for _, f := range families {
for _, c := range f.children {
generated = append(generated, c.entry)
}
}
add, reused := Merge(existing, generated)
reportReuse(existing, generated, reused)
// Variant references are resolved from `reused`, never used to decide what to
// emit: on a within-batch name collision Merge records reused[name] = name
// while the first entry of that name is still in `add`, so treating presence
// in `reused` as "dropped" would silently emit nothing for it.
added := map[string]bool{}
for _, e := range add {
added[e.Name] = true
}
inserts, newHubs, err := planHubs(families, ixText, reused, added)
if err != nil {
return err
}
reportHubs(ixText, inserts, newHubs)
skipped, census, fullPrecisionRepos, unaccounted := reportSkipped(families)
add = append(add, newHubs...)
fmt.Printf("\nentries generated: %d\nentries to add: %d\nentries reused: %d\nhubs spliced: %d\nhubs created: %d\nrepos skipped: %d\nexcluded (full precision): %d files across %d repos\nunclassified: %d\nunaccounted: %d\n",
len(generated), len(add), len(reused), len(inserts), len(newHubs), len(skipped),
census.fullPrecision, fullPrecisionRepos, census.unclassified, unaccounted)
lines, err := galleryedit.Apply(ixText.Lines, inserts)
if err != nil {
return err
}
if err := writeEntries(add, lines, outPath, apply, indexPath); err != nil {
return err
}
if len(failed) > 0 {
return fmt.Errorf("%d repo(s) failed: %s", len(failed), strings.Join(failed, ", "))
}
return nil
}
// resolveVariant maps a generated child name onto whatever entry actually stands
// for it after the merge. `added` is consulted first because a within-batch name
// collision puts a name in BOTH add and reused, and the entry that was emitted
// is the one the parent must reference.
func resolveVariant(name string, reused map[string]string, added map[string]bool) string {
if added[name] {
return name
}
if target, ok := reused[name]; ok {
return target
}
return name
}
// SpecTypeForRepo reports the speculative decoding mechanism a repo's builds can
// turn on with no extra download.
//
// The *-APEX-MTP-GGUF repos republish the base weights with the model's own MTP
// heads retained, so those builds are only worth their extra size if the heads
// are actually used. Every other APEX repo drops them, and switching MTP on
// there would name a mechanism the weights cannot serve.
//
// The suffix is read off the repo the FILES come from, so nothing downstream has
// to infer a capability from an entry name.
func SpecTypeForRepo(repo string) string {
if strings.HasSuffix(path.Base(repo), "-APEX-MTP-GGUF") {
return "draft-mtp"
}
return ""
}
// buildFamily discovers everything one APEX repo and its unsloth counterpart
// publish, and renders it.
func buildFamily(client *http.Client, repo string) (*family, error) {
files, err := FetchRepoFiles(client, repo)
if err != nil {
return nil, err
}
if len(files) == 0 {
return nil, fmt.Errorf("no gguf files")
}
imatrix, plain := DiscoverAPEXTiers(files)
mmproj, hasMMProj := DiscoverMMProj(files)
census := reportUnclassified(repo, files, imatrix, plain)
// The imatrix ladder is preferred, but two of the 45 repos publish no
// imatrix tiers at all and must still contribute their plain ladder.
ladder := imatrix
ladderKind := "imatrix"
if len(ladder) == 0 {
ladder = plain
ladderKind = "plain"
}
if len(ladder) == 0 {
return nil, fmt.Errorf("no tiers discovered")
}
sortTiers(ladder)
var mm *GGUFFile
if hasMMProj {
mm = &mmproj
}
repoBase := strings.TrimSuffix(path.Base(repo), "-GGUF")
f := &family{repo: repo, repoBase: repoBase, hasMMProj: hasMMProj, census: census}
// Only the APEX ladder can carry MTP heads; the unsloth counterpart quantizes
// the plain weights and gets nothing from this.
specType := SpecTypeForRepo(repo)
for _, t := range ladder {
f.children = append(f.children, childBuild{
rank: rungRank[t.Label],
entry: RenderChild(ChildInput{
Name: slug(repoBase) + "-" + slug(t.Label),
Repo: repo,
Template: entryTemplate,
SpecType: specType,
Weights: []GGUFFile{t.File},
MMProj: mm,
BaseTags: baseTags,
}),
})
}
stem := FileStem(ladder[0])
f.stem = stem
fmt.Printf("%s: %d %s tier(s) [%s], stem %s, mmproj %v\n",
repo, len(ladder), ladderKind, tierLabels(ladder), stem, hasMMProj)
counterpart, cpFiles, skipped, err := resolveCounterpart(client, repoBase, stem)
f.skippedRepos = skipped
if err != nil {
return nil, err
}
if counterpart != "" {
builds := DiscoverUnslothQuants(cpFiles)
// Called here rather than inside Verify: a quant dropped at discovery
// leaves no trace at all in the finished gallery file, so the only place
// the shortfall is still visible is the moment of discovery.
unaccounted := UnaccountedQuants(cpFiles, builds)
f.unaccounted = len(unaccounted)
for _, p := range unaccounted {
fmt.Fprintf(os.Stderr, "UNACCOUNTED QUANT %s: %s\n", counterpart, p)
}
cpMMProj, hasCPMMProj := DiscoverMMProj(cpFiles)
var cpMM *GGUFFile
if hasCPMMProj {
cpMM = &cpMMProj
}
cpBase := strings.TrimSuffix(path.Base(counterpart), "-GGUF")
for i, b := range builds {
f.children = append(f.children, childBuild{
rank: 100 + i,
entry: RenderChild(ChildInput{
Name: slug(cpBase) + "-" + slug(b.Quant),
Repo: counterpart,
Template: entryTemplate,
Weights: b.Files,
MMProj: cpMM,
BaseTags: baseTags,
}),
})
}
fmt.Printf("%s: counterpart %s, %d quant build(s) %s\n", repo, counterpart, len(builds), quantLabels(builds))
} else {
fmt.Printf("%s: no unsloth counterpart\n", repo)
}
return f, nil
}
// planHubs decides, per family, whether the family's builds are spliced into a
// base model entry the gallery already ships or gathered under a new hub.
//
// Splicing is strongly preferred and is the measured majority-adjacent case. The
// existing entry keeps its description, icon, tags, overrides and files
// untouched; only variant lines are added to it.
func planHubs(families []family, ix *IndexText, reused map[string]string, added map[string]bool) ([]galleryedit.Insert, []GalleryEntry, error) {
// Several APEX repos can resolve to one base model, so both paths accumulate
// by hub name rather than assuming one family per hub.
wantByHub := map[string][]string{}
var spliceOrder []string
var newHubs []GalleryEntry
hubAt := map[string]int{}
for i := range families {
f := &families[i]
hubName, exists := ResolveHub(ix, f.repoBase, f.stem)
want := hubVariants(f, ix, reused, added)
if exists {
if _, seen := wantByHub[hubName]; !seen {
spliceOrder = append(spliceOrder, hubName)
}
wantByHub[hubName] = append(wantByHub[hubName], want...)
continue
}
if at, dup := hubAt[hubName]; dup {
for _, v := range filterVariants(hubName, newHubs[at].Variants, want) {
newHubs[at].Variants = append(newHubs[at].Variants, VariantRef{Model: v})
}
continue
}
builds := f.sortedChildren()
if len(builds) == 0 {
return nil, nil, fmt.Errorf("%s: no builds to hang a hub on", f.repo)
}
hubAt[hubName] = len(newHubs)
newHubs = append(newHubs, renderHub(hubName, f, builds[0], filterVariants(hubName, nil, want)))
}
var inserts []galleryedit.Insert
for _, name := range spliceOrder {
e := ix.Find(name)
items := filterVariants(name, e.Variants, wantByHub[name])
if len(items) == 0 {
continue
}
inserts = append(inserts, galleryedit.Insert{Entry: e.Pos, Variants: items})
}
return inserts, newHubs, nil
}
// hubVariants is a family's full build list, in ladder order, named as the hub
// must reference them after the merge.
func hubVariants(f *family, ix *IndexText, reused map[string]string, added map[string]bool) []string {
var out []string
// A hand-written *-apex entry is an ordinary build of these weights. It is
// never deleted, never renamed and never treated as a hub; it is simply
// referenced like any other rung.
if apex := slug(f.repoBase); ix.Find(apex) != nil {
out = append(out, apex)
}
for _, c := range f.sortedChildren() {
out = append(out, resolveVariant(c.entry.Name, reused, added))
}
return out
}
// renderHub builds the hub for a family whose base model the gallery does not
// ship at all. It is named for the BASE model, never for the APEX repo.
//
// It carries one of the discovered builds as its own payload so it is a complete
// installable entry rather than a bare index pointing at other entries. That
// payload is what supplies overrides.backend, which matters beyond installation:
// the verifier can only judge the tagging rule for a backend it can read, so a
// hub carrying feature tags and no backend would escape the check in silence.
//
// The payload's own tags are kept rather than rebuilt from baseTags, so a hub
// whose payload configures a spec_type stays tagged for it and consistent with
// the overrides copied alongside.
func renderHub(name string, f *family, payload childBuild, variants []string) GalleryEntry {
e := payload.entry
e.Name = name
e.Description = fmt.Sprintf(
"%s. Quality ladder and quantization rungs published by %s and its unsloth counterpart; LocalAI picks the build that fits the hardware.",
HubLabel(f.repoBase, f.stem), f.repo)
e.Tags = append([]string{}, payload.entry.Tags...)
if f.hasMMProj && !hasTag(e.Tags, "vision") {
e.Tags = append(e.Tags, "vision")
}
e.Variants = nil
for _, v := range variants {
e.Variants = append(e.Variants, VariantRef{Model: v})
}
return e
}
func hasTag(tags []string, want string) bool {
for _, t := range tags {
if t == want {
return true
}
}
return false
}
// resolveCounterpart probes the unsloth candidates in order and returns the
// first that publishes files.
//
// CounterpartCandidates is handed a BARE repo name: its cleaner does not strip
// an owner prefix, so passing "mudler/Foo-APEX-GGUF" would yield "mudler/Foo"
// and compose into the nonsense probe "unsloth/mudler/Foo".
//
// It also returns the candidates HuggingFace refused to describe. Those are
// indistinguishable from absent without credentials, so they are skipped, but
// they are named rather than dropped: one of them could be a real gated repo
// whose quants belong in the gallery.
func resolveCounterpart(client *http.Client, repoBase, stem string) (string, []GGUFFile, []string, error) {
var unavailable []string
for _, cand := range CounterpartCandidates(repoBase, stem) {
repo := unslothOwner + "/" + cand + "-GGUF"
files, unreadable, err := FetchOptionalRepoFiles(client, repo)
if err != nil {
return "", nil, unavailable, fmt.Errorf("probing %s: %w", repo, err)
}
if unreadable {
unavailable = append(unavailable, repo)
continue
}
if len(files) > 0 {
return repo, files, unavailable, nil
}
}
return "", nil, unavailable, nil
}
// reportUnclassified prints the files discovery turned into nothing.
//
// It is a set difference on COUNTS, not a re-match of filenames: re-matching
// would duplicate the tier regex from discover.go and the two copies would
// drift. The likeliest trigger is a typo or case change from a publishing script
// rather than a genuine sixth tier, and because generation falls back to the
// plain ladder when the imatrix one is empty, a repo whose imatrix files all
// fail to match silently downgrades the whole family instead of erroring. The
// downstream HTTP check cannot catch that: it validates URLs that were emitted,
// and an undiscovered tier emits none.
// It returns the census so the run can total it.
func reportUnclassified(repo string, files []GGUFFile, imatrix, plain []Tier) fileCensus {
mmprojCount, fullPrecision := 0, 0
for _, f := range files {
// The mmproj test comes first because projectors are themselves often
// published at f16 (mmproj-F16.gguf), and counting such a file in both
// buckets would understate the unclassified remainder.
if strings.HasPrefix(f.Name, "mmproj") {
mmprojCount++
continue
}
if IsFullPrecision(f.Name) {
fullPrecision++
}
}
classified := len(imatrix) + len(plain) + mmprojCount + fullPrecision
if classified >= len(files) {
return fileCensus{fullPrecision: fullPrecision}
}
fmt.Fprintf(os.Stderr, "UNCLASSIFIED %s: %d of %d .gguf files classified, %d unaccounted for\n",
repo, classified, len(files), len(files)-classified)
return fileCensus{unclassified: len(files) - classified, fullPrecision: fullPrecision}
}
// reportReuse splits Merge's single reused map into the two cases it conflates.
//
// A URI match means the gallery already ships exactly these weights, and
// pointing the parent at the existing entry is correct. A NAME match with a
// different URI means an unrelated entry happens to own the name, and
// referencing it would point the parent at different weights than were
// generated, substituting a build without saying so. Only the first is safe to
// wave through.
func reportReuse(existing *ExistingIndex, generated []GalleryEntry, reused map[string]string) {
byName := map[string]GalleryEntry{}
for _, e := range generated {
if _, seen := byName[e.Name]; !seen {
byName[e.Name] = e
}
}
var nameCollisions, uriMatches []string
for name, target := range reused {
gen := byName[name]
uri := ""
if len(gen.Files) > 0 {
uri = gen.Files[0].URI
}
switch {
case hasName(existing, name):
nameCollisions = append(nameCollisions,
fmt.Sprintf(" %s -> gallery entry of the same name (generated uri: %s)", name, orNone(uri)))
case target == name:
nameCollisions = append(nameCollisions,
fmt.Sprintf(" %s -> earlier entry of the same name in this batch (generated uri: %s)", name, orNone(uri)))
default:
uriMatches = append(uriMatches, fmt.Sprintf(" %s -> %s (same weights: %s)", name, target, orNone(uri)))
}
}
sort.Strings(nameCollisions)
sort.Strings(uriMatches)
fmt.Printf("\nNAME COLLISIONS (%d) - inspect each by hand, the target may hold different weights\n", len(nameCollisions))
for _, l := range nameCollisions {
fmt.Println(l)
}
fmt.Printf("\nURI MATCHES (%d) - the gallery or this batch already ships these exact weights\n", len(uriMatches))
for _, l := range uriMatches {
fmt.Println(l)
}
}
// reportHubs prints exactly what will be written where. The splices are the part
// a human has to read: they modify entries the gallery already ships, so the
// review needs the target, the line, and every added reference spelled out.
func reportHubs(ix *IndexText, inserts []galleryedit.Insert, newHubs []GalleryEntry) {
fmt.Printf("\nHUBS SPLICED (%d) - variants added to the EXISTING base model entry, nothing else touched\n", len(inserts))
for _, in := range inserts {
e := ix.Find(in.Entry.Name)
fmt.Printf(" %s (line %d, %d variant(s) already declared):\n", in.Entry.Name, in.Entry.StartLine+1, len(e.Variants))
for _, v := range in.Variants {
fmt.Printf(" + - model: %s\n", galleryedit.QuoteName(v))
}
}
fmt.Printf("\nHUBS CREATED (%d) - the gallery ships no base model entry, so one is emitted for it\n", len(newHubs))
for _, h := range newHubs {
fmt.Printf(" %s:\n", h.Name)
for _, v := range h.Variants {
fmt.Printf(" - model: %s\n", v.Model)
}
}
}
// reportSkipped names the counterpart repos HuggingFace would not describe, and
// totals the other two silent-shortfall counters alongside them.
//
// A skipped repo is not the same as a clean 404. HuggingFace answers 401 for a
// nonexistent repo to an unauthenticated client, so the overwhelmingly likely
// reading is "there is no such counterpart", which is the normal case for the
// community merges. But a private or gated repo answers 401 too, and that one
// WOULD have quants worth shipping. Printing the list is what keeps that
// possibility auditable instead of silently discarded.
func reportSkipped(families []family) ([]string, fileCensus, int, int) {
var skipped []string
var census fileCensus
fullPrecisionRepos, unaccounted := 0, 0
for _, f := range families {
skipped = append(skipped, f.skippedRepos...)
census.add(f.census)
if f.census.fullPrecision > 0 {
fullPrecisionRepos++
}
unaccounted += f.unaccounted
}
sort.Strings(skipped)
fmt.Printf("\nREPOS SKIPPED AS UNAVAILABLE (%d) - HuggingFace answered 401/403, which is indistinguishable from absent without a token; check none of these is a real gated repo\n", len(skipped))
for _, r := range skipped {
fmt.Printf(" %s\n", r)
}
return skipped, census, fullPrecisionRepos, unaccounted
}
func hasName(ix *ExistingIndex, name string) bool {
_, ok := ix.ByName[name]
return ok
}
func orNone(s string) string {
if s == "" {
return "(no files)"
}
return s
}
// writeEntries emits the additions.
//
// -apply does two things in one pass: it writes back the spliced lines, which
// differ from the original only by the variant lines galleryedit inserted, and
// then appends the new entries. New entries are APPENDED rather than merged into
// the structure, for the same reason the splice is textual: a YAML round trip
// over 40,000 lines would reflow the whole file into an unreviewable diff.
func writeEntries(add []GalleryEntry, lines []string, outPath string, apply bool, indexPath string) error {
if apply {
if err := os.WriteFile(indexPath, []byte(strings.Join(lines, "\n")), 0o644); err != nil {
return err
}
fmt.Printf("spliced %s\n", indexPath)
}
if len(add) == 0 {
fmt.Println("nothing to append")
return nil
}
blob, err := yaml.Marshal(add)
if err != nil {
return err
}
if outPath != "" {
if err := os.WriteFile(outPath, blob, 0o644); err != nil {
return err
}
fmt.Printf("wrote %d entries to %s\n", len(add), outPath)
}
if apply {
f, err := os.OpenFile(indexPath, os.O_APPEND|os.O_WRONLY, 0o644)
if err != nil {
return err
}
defer f.Close()
if _, err := f.Write(blob); err != nil {
return err
}
fmt.Printf("appended %d entries to %s\n", len(add), indexPath)
}
return nil
}
// listAPEXRepos returns the mudler repos whose name marks them as APEX builds.
func listAPEXRepos(client *http.Client) ([]string, error) {
req, err := http.NewRequest(http.MethodGet, authorListURL, nil)
if err != nil {
return nil, err
}
req.Header.Set("User-Agent", "localai-apexentries/1.0")
resp, err := client.Do(req)
if err != nil {
return nil, err
}
defer resp.Body.Close()
if resp.StatusCode != http.StatusOK {
return nil, fmt.Errorf("listing models: unexpected status %d", resp.StatusCode)
}
body, err := io.ReadAll(resp.Body)
if err != nil {
return nil, err
}
var models []struct {
ID string `json:"id"`
}
if err := json.Unmarshal(body, &models); err != nil {
return nil, fmt.Errorf("decoding model list: %w", err)
}
var out []string
for _, m := range models {
if strings.Contains(m.ID, "APEX") {
out = append(out, m.ID)
}
}
sort.Strings(out)
return out, nil
}
func restrict(repos []string, only string) []string {
want := map[string]bool{}
for _, r := range strings.Split(only, ",") {
if r = strings.TrimSpace(r); r != "" {
want[r] = true
}
}
var out []string
for _, r := range repos {
if want[r] {
out = append(out, r)
delete(want, r)
}
}
// A name in -only that matched nothing is a typo, not an empty result.
for r := range want {
fmt.Fprintf(os.Stderr, "WARNING: -only names %s, which is not an APEX repo of this author\n", r)
}
return out
}
func sortTiers(tiers []Tier) {
sort.SliceStable(tiers, func(i, j int) bool { return rungRank[tiers[i].Label] < rungRank[tiers[j].Label] })
}
func tierLabels(tiers []Tier) string {
var out []string
for _, t := range tiers {
out = append(out, t.Label)
}
return strings.Join(out, ",")
}
func quantLabels(builds []QuantBuild) string {
var out []string
for _, b := range builds {
l := b.Quant
if b.Sharded {
l += fmt.Sprintf("(%d shards)", len(b.Files))
}
out = append(out, l)
}
return strings.Join(out, ",")
}
// slug turns a repo, tier or quant label into a gallery entry name component.
func slug(s string) string {
return strings.ReplaceAll(strings.ToLower(s), "_", "-")
}

344
.github/ci/apexentries/main_test.go vendored Normal file
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@@ -0,0 +1,344 @@
package main
import (
"strings"
. "github.com/onsi/ginkgo/v2"
. "github.com/onsi/gomega"
"github.com/mudler/LocalAI/.github/ci/galleryedit"
)
func mustIndex(text string) *IndexText {
ix, err := ParseIndexText(text)
ExpectWithOffset(1, err).ToNot(HaveOccurred())
return ix
}
// buildOf renders a realistic child so the specs exercise the payload a hub
// actually inherits rather than a bare name.
func buildOf(name, repo, file string, rank int) childBuild {
return childBuild{
rank: rank,
entry: RenderChild(ChildInput{
Name: name,
Repo: repo,
Template: entryTemplate,
Weights: []GGUFFile{{Name: file, SHA256: "aa"}},
BaseTags: baseTags,
}),
}
}
var _ = Describe("ResolveHub", func() {
It("picks the base model name over the APEX name, even when both are in the gallery", func() {
// The hub is the entry a user searches for. If the *-apex entry were
// chosen the family would be gathered under a name nobody looks up, and
// the base entry would go on advertising only its own build.
ix := mustIndex("- name: qwen3.6-35b-a3b\n url: u\n- name: qwen3.6-35b-a3b-apex\n url: u\n")
name, exists := ResolveHub(ix, "Qwen3.6-35B-A3B-APEX", "Qwen3.6-35B-A3B-APEX")
Expect(name).To(Equal("qwen3.6-35b-a3b"))
Expect(exists).To(BeTrue())
})
It("falls back to the stem-derived candidate when the repo-derived one is absent", func() {
// gemma's repo says "-it" and its published files do not, so only one of
// the two candidates can match whatever the base entry was named after.
ix := mustIndex("- name: gemma-4-26b-a4b\n url: u\n")
name, exists := ResolveHub(ix, "gemma-4-26B-A4B-it-APEX", "gemma-4-26B-A4B-APEX")
Expect(name).To(Equal("gemma-4-26b-a4b"))
Expect(exists).To(BeTrue())
})
It("reports the base name as absent rather than settling for the APEX entry", func() {
ix := mustIndex("- name: qwen3.5-35b-a3b-apex\n url: u\n")
name, exists := ResolveHub(ix, "Qwen3.5-35B-A3B-APEX", "Qwen3.5-35B-A3B-APEX")
Expect(name).To(Equal("qwen3.5-35b-a3b"))
Expect(exists).To(BeFalse())
})
It("strips the MTP and TQ markers as well as APEX", func() {
ix := mustIndex("- name: qwen3.6-35b-a3b\n url: u\n")
name, exists := ResolveHub(ix, "Qwen3.6-35B-A3B-APEX-MTP", "Qwen3.6-35B-A3B-APEX-MTP")
Expect(name).To(Equal("qwen3.6-35b-a3b"))
Expect(exists).To(BeTrue())
})
})
var _ = Describe("planHubs", func() {
noReuse := map[string]string{}
allAdded := func(names ...string) map[string]bool {
out := map[string]bool{}
for _, n := range names {
out[n] = true
}
return out
}
It("splices into the existing base entry instead of emitting an *-apex parent", func() {
ix := mustIndex("- name: step-3.7-flash\n url: u\n- name: other\n url: u\n")
fams := []family{{
repo: "mudler/Step-3.7-Flash-APEX-GGUF",
repoBase: "Step-3.7-Flash-APEX",
stem: "Step-3.7-Flash-APEX",
children: []childBuild{buildOf("step-3.7-flash-apex-i-quality", "mudler/Step-3.7-Flash-APEX-GGUF", "a.gguf", 0)},
}}
inserts, newHubs, err := planHubs(fams, ix, noReuse, allAdded("step-3.7-flash-apex-i-quality"))
Expect(err).ToNot(HaveOccurred())
Expect(newHubs).To(BeEmpty())
Expect(inserts).To(HaveLen(1))
Expect(inserts[0].Entry.Name).To(Equal("step-3.7-flash"))
Expect(inserts[0].Variants).To(Equal([]string{"step-3.7-flash-apex-i-quality"}))
})
It("merges into an entry that already declares variants, without repeating one", func() {
// The gallery's qwen3.6-35b-a3b already lists its APEX build. Re-adding it
// would put a duplicate key's worth of noise in the diff and a duplicate
// reference in the entry.
ix := mustIndex("- name: qwen3.6-35b-a3b\n variants:\n - model: qwen3.6-35b-a3b-apex\n url: u\n" +
"- name: qwen3.6-35b-a3b-apex\n url: u\n")
fams := []family{{
repo: "mudler/Qwen3.6-35B-A3B-APEX-GGUF",
repoBase: "Qwen3.6-35B-A3B-APEX",
stem: "Qwen3.6-35B-A3B-APEX",
children: []childBuild{buildOf("qwen3.6-35b-a3b-apex-i-quality", "mudler/Qwen3.6-35B-A3B-APEX-GGUF", "a.gguf", 0)},
}}
inserts, newHubs, err := planHubs(fams, ix, noReuse, allAdded("qwen3.6-35b-a3b-apex-i-quality"))
Expect(err).ToNot(HaveOccurred())
Expect(newHubs).To(BeEmpty())
Expect(inserts[0].Variants).To(Equal([]string{"qwen3.6-35b-a3b-apex-i-quality"}))
out, err := galleryedit.Apply(ix.Lines, inserts)
Expect(err).ToNot(HaveOccurred())
Expect(strings.Count(strings.Join(out, "\n"), "variants:")).To(Equal(1))
Expect(out).To(HaveLen(len(ix.Lines) + 1))
})
It("never lets the hub reference itself", func() {
// An unsloth rung whose weights the gallery already ships under the base
// name resolves, through Merge, straight back to the hub. The verifier
// reads a self reference as a variant that declares variants of its own.
ix := mustIndex("- name: step-3.7-flash\n url: u\n")
fams := []family{{
repo: "mudler/Step-3.7-Flash-APEX-GGUF",
repoBase: "Step-3.7-Flash-APEX",
stem: "Step-3.7-Flash-APEX",
children: []childBuild{buildOf("step-3.7-flash-ud-q4-k-m", "unsloth/Step-3.7-Flash-GGUF", "a.gguf", 100)},
}}
inserts, _, err := planHubs(fams, ix, map[string]string{"step-3.7-flash-ud-q4-k-m": "step-3.7-flash"}, map[string]bool{})
Expect(err).ToNot(HaveOccurred())
Expect(inserts).To(BeEmpty())
})
It("emits a hub named for the base model when the gallery has none", func() {
ix := mustIndex("- name: qwen3.5-35b-a3b-apex\n url: u\n")
fams := []family{{
repo: "mudler/Qwen3.5-35B-A3B-APEX-GGUF",
repoBase: "Qwen3.5-35B-A3B-APEX",
stem: "Qwen3.5-35B-A3B-APEX",
hasMMProj: true,
children: []childBuild{
buildOf("qwen3.5-35b-a3b-apex-i-quality", "mudler/Qwen3.5-35B-A3B-APEX-GGUF", "a.gguf", 0),
buildOf("qwen3.5-35b-a3b-ud-q6-k", "unsloth/Qwen3.5-35B-A3B-GGUF", "b.gguf", 102),
},
}}
inserts, newHubs, err := planHubs(fams, ix, noReuse,
allAdded("qwen3.5-35b-a3b-apex-i-quality", "qwen3.5-35b-a3b-ud-q6-k"))
Expect(err).ToNot(HaveOccurred())
Expect(inserts).To(BeEmpty())
Expect(newHubs).To(HaveLen(1))
hub := newHubs[0]
Expect(hub.Name).To(Equal("qwen3.5-35b-a3b"))
Expect(hub.Name).ToNot(HaveSuffix("-apex"))
// A hand-written *-apex entry is an ordinary build, referenced like any
// other rung and never deleted or renamed.
Expect(hub.Variants).To(Equal([]VariantRef{
{Model: "qwen3.5-35b-a3b-apex"},
{Model: "qwen3.5-35b-a3b-apex-i-quality"},
{Model: "qwen3.5-35b-a3b-ud-q6-k"},
}))
// The verifier skips entries with no declared backend, so a hub without
// one would escape the tagging check in silence.
Expect(hub.Overrides).To(HaveKeyWithValue("backend", "llama-cpp"))
Expect(hub.Files).ToNot(BeEmpty())
Expect(hub.Tags).To(ContainElement("vision"))
})
It("gathers two APEX repos that share one base model under a single hub", func() {
ix := mustIndex("- name: unrelated\n url: u\n")
fams := []family{
{
repo: "mudler/Solo-APEX-GGUF",
repoBase: "Solo-APEX",
stem: "Solo-APEX",
children: []childBuild{buildOf("solo-apex-i-quality", "mudler/Solo-APEX-GGUF", "a.gguf", 0)},
},
{
repo: "mudler/Solo-APEX-MTP-GGUF",
repoBase: "Solo-APEX-MTP",
stem: "Solo-APEX-MTP",
children: []childBuild{buildOf("solo-apex-mtp-i-quality", "mudler/Solo-APEX-MTP-GGUF", "b.gguf", 0)},
},
}
_, newHubs, err := planHubs(fams, ix, noReuse, allAdded("solo-apex-i-quality", "solo-apex-mtp-i-quality"))
Expect(err).ToNot(HaveOccurred())
Expect(newHubs).To(HaveLen(1))
Expect(newHubs[0].Name).To(Equal("solo"))
Expect(newHubs[0].Variants).To(Equal([]VariantRef{
{Model: "solo-apex-i-quality"},
{Model: "solo-apex-mtp-i-quality"},
}))
})
})
var _ = Describe("hubVariants", func() {
It("orders builds by quality rung rather than discovery order", func() {
// DiscoverAPEXTiers preserves input order and the HF API returns siblings
// alphabetically, so an unsorted list reads I-Balanced, I-Compact, I-Mini,
// I-Nano, I-Quality. Selection ignores authored order; this is for the
// human reading the file.
f := family{repoBase: "X-APEX", stem: "X-APEX", children: []childBuild{
{rank: rungRank["I-Nano"], entry: GalleryEntry{Name: "x-i-nano"}},
{rank: 100, entry: GalleryEntry{Name: "x-ud-q4-k-m"}},
{rank: rungRank["I-Quality"], entry: GalleryEntry{Name: "x-i-quality"}},
{rank: rungRank["I-Compact"], entry: GalleryEntry{Name: "x-i-compact"}},
}}
got := hubVariants(&f, mustIndex("- name: x\n url: u\n"), map[string]string{}, map[string]bool{})
Expect(got).To(Equal([]string{"x-i-quality", "x-i-compact", "x-i-nano", "x-ud-q4-k-m"}))
})
})
var _ = Describe("ParseIndexText", func() {
It("refuses to edit by line number when the two views of the file disagree", func() {
_, err := ParseIndexText("- name: one\n url: u\n-\n")
Expect(err).To(MatchError(ContainSubstring("empty")))
})
It("records the line range of each entry", func() {
ix := mustIndex("- name: first\n url: u\n- name: second\n url: u\n")
Expect(ix.Find("FIRST").Pos.StartLine).To(Equal(0))
Expect(ix.Find("first").Pos.EndLine).To(Equal(2))
Expect(ix.Find("second").Pos.StartLine).To(Equal(2))
})
})
var _ = Describe("resolveVariant", func() {
It("keeps an entry that was emitted even when it is also in reused", func() {
// A within-batch name collision records reused[name] = name while the
// FIRST entry of that name is still in add. Treating presence in reused as
// "dropped" would emit nothing for it.
added := map[string]bool{"dup": true}
reused := map[string]string{"dup": "dup"}
Expect(resolveVariant("dup", reused, added)).To(Equal("dup"))
})
It("redirects a reused name at the entry that stands in for it", func() {
added := map[string]bool{}
reused := map[string]string{"generated": "already-in-gallery"}
Expect(resolveVariant("generated", reused, added)).To(Equal("already-in-gallery"))
})
})
var _ = Describe("slug", func() {
It("lowercases and turns quant underscores into hyphens", func() {
Expect(slug("UD-Q4_K_M")).To(Equal("ud-q4-k-m"))
Expect(slug("gemma-4-26B-A4B-it-APEX")).To(Equal("gemma-4-26b-a4b-it-apex"))
Expect(slug("I-Nano")).To(Equal("i-nano"))
})
})
var _ = Describe("sortTiers", func() {
It("puts the imatrix ladder in descending quality order", func() {
tiers := []Tier{
{Label: "I-Balanced"}, {Label: "I-Compact"}, {Label: "I-Mini"},
{Label: "I-Nano"}, {Label: "I-Quality"},
}
sortTiers(tiers)
Expect(tierLabels(tiers)).To(Equal("I-Quality,I-Balanced,I-Compact,I-Mini,I-Nano"))
})
})
var _ = Describe("restrict", func() {
It("keeps only the named repos", func() {
got := restrict([]string{"mudler/A-APEX-GGUF", "mudler/B-APEX-GGUF"}, "mudler/B-APEX-GGUF")
Expect(got).To(Equal([]string{"mudler/B-APEX-GGUF"}))
})
It("returns nothing when the filter matches nothing", func() {
Expect(restrict([]string{"mudler/A-APEX-GGUF"}, "mudler/typo")).To(BeEmpty())
})
})
var _ = Describe("reportUnclassified", func() {
// One real imatrix rung is always present so the specs measure how the
// remaining files are bucketed, not an empty-repo edge case.
tier := Tier{Label: "I-Quality", File: GGUFFile{Name: "Model-APEX-I-Quality.gguf"}}
censusOf := func(names ...string) fileCensus {
files := []GGUFFile{tier.File}
for _, n := range names {
files = append(files, GGUFFile{Name: n})
}
return reportUnclassified("mudler/Model-APEX-GGUF", files, []Tier{tier}, nil)
}
It("counts a flat full-precision source as excluded, not unclassified", func() {
got := censusOf("Carnice-MoE-35B-A3B-F16.gguf")
Expect(got.fullPrecision).To(Equal(1))
Expect(got.unclassified).To(Equal(0))
})
It("counts every shard of a sharded full-precision source as excluded", func() {
got := censusOf(
"MiniMax-M2.7-APEX-F16-00001-of-00003.gguf",
"MiniMax-M2.7-APEX-F16-00002-of-00003.gguf",
"MiniMax-M2.7-APEX-F16-00003-of-00003.gguf",
)
Expect(got.fullPrecision).To(Equal(3))
Expect(got.unclassified).To(Equal(0))
})
It("treats bf16 the same as f16, in either case", func() {
got := censusOf("Model-APEX-BF16.gguf", "Model-APEX-bf16-00001-of-00002.gguf", "Model-APEX-f16.gguf")
Expect(got.fullPrecision).To(Equal(3))
Expect(got.unclassified).To(Equal(0))
})
It("still reports a genuinely unknown filename as unclassified", func() {
got := censusOf("Model-APEX-Turbo.gguf")
Expect(got.unclassified).To(Equal(1))
Expect(got.fullPrecision).To(Equal(0))
})
It("separates the two kinds when a repo publishes both", func() {
got := censusOf("Model-APEX-F16.gguf", "Model-APEX-Turbo.gguf")
Expect(got.fullPrecision).To(Equal(1))
Expect(got.unclassified).To(Equal(1))
})
})

143
.github/ci/apexentries/merge.go vendored Normal file
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package main
import (
"fmt"
"os"
"strings"
"gopkg.in/yaml.v3"
)
const (
hfShorthandPrefix = "huggingface://"
hfResolvePrefix = "https://huggingface.co/"
hfResolveInfix = "/resolve/main/"
)
// canonicalURI reduces the two interchangeable spellings of a HuggingFace file
// to one key, so a generated resolve/main URI dedups against the shorthand the
// gallery uses for the majority of its entries.
//
// The repo is exactly the first two path segments; everything after is the file
// path, which may itself contain slashes because sharded quants live in a
// subdirectory. Anything that is not recognisably one of the two forms is
// returned unchanged rather than guessed at, so mirrors and other hosts still
// dedup on their literal string.
func canonicalURI(uri string) string {
switch {
case strings.HasPrefix(uri, hfShorthandPrefix):
rest := strings.TrimPrefix(uri, hfShorthandPrefix)
owner, after, ok := strings.Cut(rest, "/")
if !ok {
return uri
}
name, file, ok := strings.Cut(after, "/")
if !ok || owner == "" || name == "" || file == "" {
return uri
}
return hfShorthandPrefix + owner + "/" + name + "/" + file
case strings.HasPrefix(uri, hfResolvePrefix):
rest := strings.TrimPrefix(uri, hfResolvePrefix)
repo, file, ok := strings.Cut(rest, hfResolveInfix)
if !ok || file == "" {
return uri
}
// A repo is owner/name and nothing more; a longer prefix means this is
// some other huggingface.co URL that must not be rewritten.
owner, name, ok := strings.Cut(repo, "/")
if !ok || owner == "" || name == "" || strings.Contains(name, "/") {
return uri
}
return hfShorthandPrefix + repo + "/" + file
default:
return uri
}
}
// ExistingIndex is the lookup built from the current gallery: entry names, and
// which entry claims each weight URI.
type ExistingIndex struct {
ByName map[string]int
ByURI map[string]string
}
// LoadExisting reads the gallery index for dedup purposes only. It is
// deliberately not used to rewrite the file: the index is 40,000 lines, and a
// YAML round trip would reflow the whole thing into an unreviewable diff.
func LoadExisting(path string) (*ExistingIndex, error) {
raw, err := os.ReadFile(path)
if err != nil {
return nil, err
}
var entries []struct {
Name string `yaml:"name"`
Files []struct {
URI string `yaml:"uri"`
} `yaml:"files"`
}
if err := yaml.Unmarshal(raw, &entries); err != nil {
return nil, fmt.Errorf("parsing %s: %w", path, err)
}
ix := &ExistingIndex{ByName: map[string]int{}, ByURI: map[string]string{}}
for i, e := range entries {
ix.ByName[e.Name] = i
for _, f := range e.Files {
if f.URI != "" {
ix.ByURI[canonicalURI(f.URI)] = e.Name
}
}
}
return ix, nil
}
// Merge splits generated entries into those to add and those already covered.
// reused maps a generated name to the existing entry that stands in for it, so
// a parent can reference what is already there instead of duplicating weights.
// Several APEX repos share one base model, so the same counterpart rungs are
// generated more than once in a batch. The batch has to dedup against itself as
// well as against the gallery, tracked locally because the caller may reuse the
// ExistingIndex it passed in.
func Merge(existing *ExistingIndex, generated []GalleryEntry) (add []GalleryEntry, reused map[string]string) {
reused = map[string]string{}
batchNames := map[string]string{}
batchURIs := map[string]string{}
// Canonicalized into a local copy rather than in place: an ExistingIndex may
// be hand-built or reused by the caller, so Merge must not rewrite it.
existingURIs := make(map[string]string, len(existing.ByURI))
for uri, owner := range existing.ByURI {
existingURIs[canonicalURI(uri)] = owner
}
for _, e := range generated {
// Name is checked before URI: a name collision must block the add
// whatever the weights say, since duplicate names corrupt the index.
if _, clash := existing.ByName[e.Name]; clash {
reused[e.Name] = e.Name
continue
}
if claimant, clash := batchNames[e.Name]; clash {
reused[e.Name] = claimant
continue
}
if len(e.Files) > 0 {
uri := canonicalURI(e.Files[0].URI)
if owner, ok := existingURIs[uri]; ok {
reused[e.Name] = owner
continue
}
if claimant, ok := batchURIs[uri]; ok {
reused[e.Name] = claimant
continue
}
batchURIs[uri] = e.Name
}
batchNames[e.Name] = e.Name
add = append(add, e)
}
return add, reused
}

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package main
import (
. "github.com/onsi/ginkgo/v2"
. "github.com/onsi/gomega"
)
var _ = Describe("Merge", func() {
It("drops a generated entry whose weight URI already exists and reports the existing name", func() {
existing := &ExistingIndex{
ByName: map[string]int{"qwen3.6-35b-a3b-apex": 0},
ByURI: map[string]string{
"https://huggingface.co/mudler/X-APEX-GGUF/resolve/main/X-APEX-I-Quality.gguf": "qwen3.6-35b-a3b-apex",
},
}
gen := []GalleryEntry{{
Name: "x-apex-i-quality",
Files: []EntryFile{{URI: "https://huggingface.co/mudler/X-APEX-GGUF/resolve/main/X-APEX-I-Quality.gguf"}},
}}
add, reused := Merge(existing, gen)
Expect(add).To(BeEmpty())
Expect(reused).To(HaveKeyWithValue("x-apex-i-quality", "qwen3.6-35b-a3b-apex"))
})
It("keeps a generated entry whose weights are new", func() {
existing := &ExistingIndex{ByName: map[string]int{}, ByURI: map[string]string{}}
gen := []GalleryEntry{{
Name: "x-apex-i-mini",
Files: []EntryFile{{URI: "https://huggingface.co/mudler/X-APEX-GGUF/resolve/main/X-APEX-I-Mini.gguf"}},
}}
add, reused := Merge(existing, gen)
Expect(add).To(HaveLen(1))
Expect(reused).To(BeEmpty())
})
It("refuses to add an entry whose name collides with an existing one", func() {
existing := &ExistingIndex{
ByName: map[string]int{"x-apex-i-mini": 0},
ByURI: map[string]string{},
}
gen := []GalleryEntry{{
Name: "x-apex-i-mini",
Files: []EntryFile{{URI: "https://huggingface.co/mudler/X-APEX-GGUF/resolve/main/other.gguf"}},
}}
add, reused := Merge(existing, gen)
Expect(add).To(BeEmpty())
Expect(reused).To(HaveKeyWithValue("x-apex-i-mini", "x-apex-i-mini"))
})
// The gallery records most of its URIs in huggingface:// shorthand while
// render.go only ever emits the resolve/main form, so without
// canonicalization the majority of the file is invisible to the dedup.
It("matches a generated https URI against the shorthand form recorded in the gallery", func() {
existing := &ExistingIndex{
ByName: map[string]int{"foo-gguf-q8-0": 0},
ByURI: map[string]string{
"huggingface://unsloth/Foo-GGUF/Foo-Q8_0.gguf": "foo-gguf-q8-0",
},
}
gen := []GalleryEntry{{
Name: "foo-apex-q8-0",
Files: []EntryFile{{URI: "https://huggingface.co/unsloth/Foo-GGUF/resolve/main/Foo-Q8_0.gguf"}},
}}
add, reused := Merge(existing, gen)
Expect(add).To(BeEmpty())
Expect(reused).To(HaveKeyWithValue("foo-apex-q8-0", "foo-gguf-q8-0"))
})
It("matches a generated shorthand URI against the https form recorded in the gallery", func() {
existing := &ExistingIndex{
ByName: map[string]int{"foo-gguf-q8-0": 0},
ByURI: map[string]string{
"https://huggingface.co/unsloth/Foo-GGUF/resolve/main/Foo-Q8_0.gguf": "foo-gguf-q8-0",
},
}
gen := []GalleryEntry{{
Name: "foo-apex-q8-0",
Files: []EntryFile{{URI: "huggingface://unsloth/Foo-GGUF/Foo-Q8_0.gguf"}},
}}
add, reused := Merge(existing, gen)
Expect(add).To(BeEmpty())
Expect(reused).To(HaveKeyWithValue("foo-apex-q8-0", "foo-gguf-q8-0"))
})
// Sharded quants live under a subdirectory, so the file path carries slashes
// of its own and only the first two segments are the repo.
It("matches across both forms when the file path has a subdirectory", func() {
existing := &ExistingIndex{
ByName: map[string]int{"model-ud-q4-k-m": 0},
ByURI: map[string]string{
"huggingface://unsloth/Model-GGUF/UD-Q4_K_M/Model-UD-Q4_K_M-00001-of-00002.gguf": "model-ud-q4-k-m",
},
}
gen := []GalleryEntry{{
Name: "model-apex-ud-q4-k-m",
Files: []EntryFile{{URI: "https://huggingface.co/unsloth/Model-GGUF/resolve/main/UD-Q4_K_M/Model-UD-Q4_K_M-00001-of-00002.gguf"}},
}}
add, reused := Merge(existing, gen)
Expect(add).To(BeEmpty())
Expect(reused).To(HaveKeyWithValue("model-apex-ud-q4-k-m", "model-ud-q4-k-m"))
})
// Several APEX repos share one base model, so the same unsloth rungs are
// generated more than once in a single batch.
It("adds only the first of two generated entries sharing a name", func() {
existing := &ExistingIndex{ByName: map[string]int{}, ByURI: map[string]string{}}
gen := []GalleryEntry{
{
Name: "shared-rung-q8-0",
Files: []EntryFile{{URI: "https://huggingface.co/unsloth/Shared-GGUF/resolve/main/Shared-Q8_0.gguf"}},
},
{
Name: "shared-rung-q8-0",
Files: []EntryFile{{URI: "https://huggingface.co/unsloth/Other-GGUF/resolve/main/Other-Q8_0.gguf"}},
},
}
add, reused := Merge(existing, gen)
Expect(add).To(HaveLen(1))
Expect(add[0].Files[0].URI).To(Equal("https://huggingface.co/unsloth/Shared-GGUF/resolve/main/Shared-Q8_0.gguf"))
Expect(reused).To(HaveKeyWithValue("shared-rung-q8-0", "shared-rung-q8-0"))
})
It("adds only the first of two generated entries sharing a primary URI", func() {
existing := &ExistingIndex{ByName: map[string]int{}, ByURI: map[string]string{}}
gen := []GalleryEntry{
{
Name: "shared-rung-from-apex",
Files: []EntryFile{{URI: "https://huggingface.co/unsloth/Shared-GGUF/resolve/main/Shared-Q8_0.gguf"}},
},
{
Name: "shared-rung-from-apex-mtp",
Files: []EntryFile{{URI: "huggingface://unsloth/Shared-GGUF/Shared-Q8_0.gguf"}},
},
}
add, reused := Merge(existing, gen)
Expect(add).To(HaveLen(1))
Expect(add[0].Name).To(Equal("shared-rung-from-apex"))
Expect(reused).To(HaveKeyWithValue("shared-rung-from-apex-mtp", "shared-rung-from-apex"))
})
// Anything that is not a HuggingFace URI must survive untouched, so an
// unrecognised scheme still dedups against the very same string.
It("leaves a URI in neither recognised form alone and still dedups it exactly", func() {
existing := &ExistingIndex{
ByName: map[string]int{"mirrored-model": 0},
ByURI: map[string]string{
"https://mirror.example.com/weights/Model-Q8_0.gguf": "mirrored-model",
},
}
gen := []GalleryEntry{
{
Name: "mirrored-apex",
Files: []EntryFile{{URI: "https://mirror.example.com/weights/Model-Q8_0.gguf"}},
},
{
Name: "elsewhere-apex",
Files: []EntryFile{{URI: "https://mirror.example.com/weights/Other-Q8_0.gguf"}},
},
}
add, reused := Merge(existing, gen)
Expect(add).To(HaveLen(1))
Expect(add[0].Name).To(Equal("elsewhere-apex"))
Expect(reused).To(HaveKeyWithValue("mirrored-apex", "mirrored-model"))
})
})

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package main
import (
"fmt"
"path"
"strings"
)
// EntryFile is one downloadable file of a gallery entry.
type EntryFile struct {
Filename string `yaml:"filename"`
SHA256 string `yaml:"sha256"`
URI string `yaml:"uri"`
}
// GalleryEntry is the subset of a gallery entry this generator writes.
//
// Named GalleryEntry rather than Entry because the test files dot-import
// Ginkgo, whose table DSL exports an Entry that a package-level Entry would
// collide with. The yaml tags are what the gallery index sees, so the Go
// identifier is free to differ.
type GalleryEntry struct {
Name string `yaml:"name"`
URL string `yaml:"url"`
Description string `yaml:"description,omitempty"`
Tags []string `yaml:"tags,omitempty"`
Overrides map[string]any `yaml:"overrides,omitempty"`
Files []EntryFile `yaml:"files,omitempty"`
Variants []VariantRef `yaml:"variants,omitempty"`
}
// VariantRef mirrors the gallery's variant reference: a name and nothing else.
type VariantRef struct {
Model string `yaml:"model"`
}
// ChildInput is everything needed to render one non-parent entry.
type ChildInput struct {
Name string
Repo string
// DraftRepo is the repo publishing the drafter, when it is not the repo
// publishing the weights. Speculative pairings routinely cross repos, so
// the drafter cannot be assumed to sit next to the weights. Empty means
// same-repo, which is how the *-APEX-MTP-GGUF repos ship.
DraftRepo string
Template string
Weights []GGUFFile
MMProj *GGUFFile
SpecType string
DraftFile *GGUFFile
BaseTags []string
}
// specTuning is the acceptance-window tuning each spec type ships with, copied
// from the hand-written entries that already run these two mechanisms rather
// than invented here. The two differ because the drafters differ: self-drafted
// MTP heads produce a short, high-confidence proposal (15+ hand-written entries
// use 6 with a 0.75 floor), while a separate DFlash drafter is cheap enough to
// run far ahead unconditionally (the five hand-written dflash entries use 15 and
// set no floor).
var specTuning = map[string][]string{
"draft-mtp": {"spec_n_max:6", "spec_p_min:0.75"},
"draft-dflash": {"spec_n_max:15"},
}
func hfURI(repo, file string) string {
return fmt.Sprintf("https://huggingface.co/%s/resolve/main/%s", repo, file)
}
// localPath is where a downloaded file lands.
//
// The hand-written entries namespace by the repo's BARE name
// (llama-cpp/models/<repo>/<file>), which is not unique. LiquidAI/LFM2.5-8B-A1B-GGUF
// and unsloth/LFM2.5-8B-A1B-GGUF share a basename, so both claim
// llama-cpp/models/LFM2.5-8B-A1B-GGUF/, and installing the second after the first
// either overwrites weights whose recorded sha256 belongs to the other file or is
// skipped as already present. Two owners publishing the same model name is the
// normal case for quantizers, not an edge case, so the owner has to be in the path.
//
// The owner becomes its own path segment rather than being folded into the
// directory name: owner/repo is unique on HuggingFace and "/" cannot occur inside
// either half, so this is the only form that is collision-proof by construction.
// It still reads as the hand-written convention with the owner restored, and the
// extra depth is already present in the index for sharded builds.
func localPath(kind, repo, file string) string {
// path.Dir yields "." for a repo named without an owner, which path.Join
// drops, so such a caller keeps the historical two-segment layout.
return path.Join("llama-cpp", kind, path.Dir(repo), path.Base(repo), file)
}
// RenderChild builds one child entry.
//
// The dflash/mtp tag is added if and only if this entry sets a spec_type,
// because variant ranking reads tags and nothing else, and a tag that does not
// match what the entry configures either promotes a build that is no faster or
// hides one that is.
func RenderChild(in ChildInput) GalleryEntry {
e := GalleryEntry{
Name: in.Name,
URL: fmt.Sprintf("github:mudler/LocalAI/gallery/%s@master", in.Template),
Tags: append([]string{}, in.BaseTags...),
Overrides: map[string]any{},
}
// gallery/virtual.yaml carries no backend, so nothing else would name an
// engine for these entries. Matching the hand-written entries on
// known_usecases too: LocalAI would fall back to the backend defaults, but
// generated entries should not read differently from their neighbours.
e.Overrides["backend"] = "llama-cpp"
e.Overrides["known_usecases"] = []string{"chat"}
options := []string{"use_jinja:true"}
for _, w := range in.Weights {
e.Files = append(e.Files, EntryFile{
Filename: localPath("models", in.Repo, w.Name),
SHA256: w.SHA256,
URI: hfURI(in.Repo, w.Name),
})
}
e.Overrides["parameters"] = map[string]any{
"model": localPath("models", in.Repo, in.Weights[0].Name),
}
if in.MMProj != nil {
// An explicit known_usecases SUPPRESSES the backend-default fallback in
// core/gallery/models_types.go, so a multimodal entry left at chat-only
// never matches FilterGalleryModelsByUsecase(FLAG_VISION) or
// FilterGalleryModelsByMultimodal and vanishes from the UI's vision and
// multimodal filters. 19 of the 45 APEX repos ship an mmproj.
e.Overrides["known_usecases"] = []string{"chat", "vision"}
e.Overrides["mmproj"] = localPath("mmproj", in.Repo, in.MMProj.Name)
e.Files = append(e.Files, EntryFile{
Filename: localPath("mmproj", in.Repo, in.MMProj.Name),
SHA256: in.MMProj.SHA256,
URI: hfURI(in.Repo, in.MMProj.Name),
})
}
// A spec type is configured independently of a drafter FILE. Weights that
// carry their own MTP heads need no second download, and requiring one left
// the *-APEX-MTP-GGUF builds shipping the larger heads-bearing weights with
// the heads switched off: a strictly bigger download at the same speed,
// ranked identically to the plain rung at the same tier.
if in.SpecType != "" {
options = append(options, "spec_type:"+in.SpecType)
options = append(options, specTuning[in.SpecType]...)
// The tag is derived from the spec type this entry sets and from nothing
// else. Variant ranking reads tags only, so a tag taken from a repo or
// entry NAME would promote a build that is no faster whenever the name
// and the configuration disagree.
e.Tags = append(e.Tags, strings.TrimPrefix(in.SpecType, "draft-"))
}
if in.SpecType != "" && in.DraftFile != nil {
// Fall back to the weights repo so pairings that publish the drafter
// alongside the weights keep working without restating the repo.
draftRepo := in.DraftRepo
if draftRepo == "" {
draftRepo = in.Repo
}
draftPath := localPath("models", draftRepo, in.DraftFile.Name)
e.Overrides["draft_model"] = draftPath
e.Overrides["flash_attention"] = "on"
e.Files = append(e.Files, EntryFile{
Filename: draftPath,
SHA256: in.DraftFile.SHA256,
URI: hfURI(draftRepo, in.DraftFile.Name),
})
}
e.Overrides["options"] = options
return e
}

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package main
import (
. "github.com/onsi/ginkgo/v2"
. "github.com/onsi/gomega"
)
var _ = Describe("RenderChild", func() {
It("tags an entry that configures draft-dflash", func() {
e := RenderChild(ChildInput{
Name: "qwen3.5-9b-dflash",
Repo: "mudler/Example-APEX-GGUF",
Template: "virtual.yaml",
Weights: []GGUFFile{{Name: "Example-APEX-I-Quality.gguf", SHA256: "a"}},
SpecType: "draft-dflash",
DraftFile: &GGUFFile{Name: "Example-DFlash.Q8_0.gguf", SHA256: "b"},
BaseTags: []string{"llm", "gguf"},
})
Expect(e.Tags).To(ContainElement("dflash"))
Expect(e.Tags).ToNot(ContainElement("mtp"))
Expect(e.Overrides["options"]).To(ContainElement("spec_type:draft-dflash"))
Expect(e.Overrides["draft_model"]).ToNot(BeNil())
})
It("does not tag an MTP-named repo that configures no speculation", func() {
// mudler/Qwen3.6-35B-A3B-APEX-MTP-GGUF ships MTP-bearing weights. Weights
// that carry the heads are not an entry that enables them, and tagging it
// would win the feature axis without being any faster.
e := RenderChild(ChildInput{
Name: "qwen3.6-35b-a3b-apex-mtp-i-quality",
Repo: "mudler/Qwen3.6-35B-A3B-APEX-MTP-GGUF",
Template: "virtual.yaml",
Weights: []GGUFFile{{Name: "Qwen3.6-35B-A3B-APEX-MTP-I-Quality.gguf", SHA256: "a"}},
BaseTags: []string{"llm", "gguf"},
})
Expect(e.Tags).ToNot(ContainElement("mtp"))
Expect(e.Tags).ToNot(ContainElement("dflash"))
Expect(e.Overrides).ToNot(HaveKey("draft_model"))
})
It("lists every shard of a sharded build and points the model at the first", func() {
e := RenderChild(ChildInput{
Name: "step-3.7-flash-ud-q4-k-m",
Repo: "unsloth/Step-3.7-Flash-GGUF",
Template: "virtual.yaml",
Weights: []GGUFFile{
{Name: "UD-Q4_K_M/Step-3.7-Flash-UD-Q4_K_M-00001-of-00002.gguf", SHA256: "a"},
{Name: "UD-Q4_K_M/Step-3.7-Flash-UD-Q4_K_M-00002-of-00002.gguf", SHA256: "b"},
},
BaseTags: []string{"llm", "gguf"},
})
Expect(e.Files).To(HaveLen(2))
params, ok := e.Overrides["parameters"].(map[string]any)
Expect(ok).To(BeTrue())
Expect(params["model"]).To(HaveSuffix("00001-of-00002.gguf"))
Expect(e.Files[0].URI).To(Equal(
"https://huggingface.co/unsloth/Step-3.7-Flash-GGUF/resolve/main/UD-Q4_K_M/Step-3.7-Flash-UD-Q4_K_M-00001-of-00002.gguf"))
})
It("wires mmproj when the repo publishes one", func() {
e := RenderChild(ChildInput{
Name: "example-i-mini",
Repo: "mudler/Example-APEX-GGUF",
Template: "virtual.yaml",
Weights: []GGUFFile{{Name: "Example-APEX-I-Mini.gguf", SHA256: "a"}},
MMProj: &GGUFFile{Name: "mmproj-F16.gguf", SHA256: "c"},
BaseTags: []string{"llm", "gguf"},
})
Expect(e.Overrides["mmproj"]).ToNot(BeNil())
Expect(e.Files).To(HaveLen(2))
})
It("names the engine and the usecases the hand-written entries name", func() {
// gallery/virtual.yaml supplies no backend, so an entry that omits one
// names no engine at all and cannot load.
e := RenderChild(ChildInput{
Name: "example-i-mini",
Repo: "mudler/Example-APEX-GGUF",
Template: "virtual.yaml",
Weights: []GGUFFile{{Name: "Example-APEX-I-Mini.gguf", SHA256: "a"}},
BaseTags: []string{"llm", "gguf"},
})
Expect(e.Overrides["backend"]).To(Equal("llama-cpp"))
Expect(e.Overrides["known_usecases"]).To(ContainElement("chat"))
})
It("draws the drafter from DraftRepo when the pairing spans two repos", func() {
// unsloth/Qwen3-4B-GGUF pairs with a drafter published separately by
// AtomicChat, so a drafter URI built from the weights repo 404s.
e := RenderChild(ChildInput{
Name: "qwen3-4b-dflash",
Repo: "unsloth/Qwen3-4B-GGUF",
DraftRepo: "AtomicChat/Qwen3-4B-DFlash-GGUF",
Template: "virtual.yaml",
Weights: []GGUFFile{{Name: "Qwen3-4B-Q4_K_M.gguf", SHA256: "a"}},
SpecType: "draft-dflash",
DraftFile: &GGUFFile{Name: "Qwen3-4B-DFlash.Q8_0.gguf", SHA256: "b"},
BaseTags: []string{"llm", "gguf"},
})
Expect(e.Files[0].URI).To(Equal(
"https://huggingface.co/unsloth/Qwen3-4B-GGUF/resolve/main/Qwen3-4B-Q4_K_M.gguf"))
Expect(e.Files[1].URI).To(Equal(
"https://huggingface.co/AtomicChat/Qwen3-4B-DFlash-GGUF/resolve/main/Qwen3-4B-DFlash.Q8_0.gguf"))
Expect(e.Files[1].Filename).To(Equal(
"llama-cpp/models/AtomicChat/Qwen3-4B-DFlash-GGUF/Qwen3-4B-DFlash.Q8_0.gguf"))
Expect(e.Overrides["draft_model"]).To(Equal(
"llama-cpp/models/AtomicChat/Qwen3-4B-DFlash-GGUF/Qwen3-4B-DFlash.Q8_0.gguf"))
})
It("falls back to the weights repo for the drafter when DraftRepo is empty", func() {
// The *-APEX-MTP-GGUF repos ship the drafter alongside the weights.
e := RenderChild(ChildInput{
Name: "example-apex-dflash",
Repo: "mudler/Example-APEX-GGUF",
Template: "virtual.yaml",
Weights: []GGUFFile{{Name: "Example-APEX-I-Quality.gguf", SHA256: "a"}},
SpecType: "draft-dflash",
DraftFile: &GGUFFile{Name: "Example-DFlash.Q8_0.gguf", SHA256: "b"},
BaseTags: []string{"llm", "gguf"},
})
Expect(e.Files[1].URI).To(Equal(
"https://huggingface.co/mudler/Example-APEX-GGUF/resolve/main/Example-DFlash.Q8_0.gguf"))
Expect(e.Files[1].Filename).To(Equal(
"llama-cpp/models/mudler/Example-APEX-GGUF/Example-DFlash.Q8_0.gguf"))
})
})
var _ = Describe("RenderChild known_usecases", func() {
It("declares vision alongside chat when the entry carries an mmproj", func() {
// An explicit known_usecases suppresses the backend-default fallback, so a
// chat-only multimodal entry disappears from the UI's vision filter.
e := RenderChild(ChildInput{
Name: "example-i-quality",
Repo: "mudler/Example-APEX-GGUF",
Template: "virtual.yaml",
Weights: []GGUFFile{{Name: "Example-APEX-I-Quality.gguf", SHA256: "a"}},
MMProj: &GGUFFile{Name: "mmproj-F16.gguf", SHA256: "c"},
BaseTags: []string{"llm", "gguf"},
})
Expect(e.Overrides["known_usecases"]).To(ConsistOf("chat", "vision"))
})
It("leaves a text-only entry at chat", func() {
e := RenderChild(ChildInput{
Name: "example-i-quality",
Repo: "mudler/Example-APEX-GGUF",
Template: "virtual.yaml",
Weights: []GGUFFile{{Name: "Example-APEX-I-Quality.gguf", SHA256: "a"}},
BaseTags: []string{"llm", "gguf"},
})
Expect(e.Overrides["known_usecases"]).To(ConsistOf("chat"))
})
})
var _ = Describe("localPath", func() {
It("keeps two repos with the same basename but different owners apart", func() {
// LiquidAI and unsloth both publish LFM2.5-8B-A1B-GGUF. A path built from
// the bare repo name gives both the same local file, so installing the
// second overwrites or skips the first and one of them then serves bytes
// that do not match its recorded sha256.
liquid := RenderChild(ChildInput{
Name: "lfm2.5-8b-a1b-i-quality",
Repo: "LiquidAI/LFM2.5-8B-A1B-GGUF",
Template: "virtual.yaml",
Weights: []GGUFFile{{Name: "LFM2.5-8B-A1B-Q8_0.gguf", SHA256: "33ab3b8c"}},
BaseTags: []string{"llm", "gguf"},
})
unsloth := RenderChild(ChildInput{
Name: "lfm2.5-8b-a1b-q8-0",
Repo: "unsloth/LFM2.5-8B-A1B-GGUF",
Template: "virtual.yaml",
Weights: []GGUFFile{{Name: "LFM2.5-8B-A1B-Q8_0.gguf", SHA256: "ec11666b"}},
BaseTags: []string{"llm", "gguf"},
})
Expect(liquid.Files[0].Filename).ToNot(Equal(unsloth.Files[0].Filename))
Expect(unsloth.Files[0].Filename).To(Equal(
"llama-cpp/models/unsloth/LFM2.5-8B-A1B-GGUF/LFM2.5-8B-A1B-Q8_0.gguf"))
})
It("namespaces the mmproj by owner too", func() {
e := RenderChild(ChildInput{
Name: "example-i-quality",
Repo: "mudler/Example-APEX-GGUF",
Template: "virtual.yaml",
Weights: []GGUFFile{{Name: "Example-APEX-I-Quality.gguf", SHA256: "a"}},
MMProj: &GGUFFile{Name: "mmproj-F16.gguf", SHA256: "c"},
BaseTags: []string{"llm", "gguf"},
})
Expect(e.Overrides["mmproj"]).To(Equal(
"llama-cpp/mmproj/mudler/Example-APEX-GGUF/mmproj-F16.gguf"))
})
})
var _ = Describe("MTP builds", func() {
renderTier := func(repo string) GalleryEntry {
return RenderChild(ChildInput{
Name: "example-i-quality",
Repo: repo,
Template: "virtual.yaml",
SpecType: SpecTypeForRepo(repo),
Weights: []GGUFFile{{Name: "Example-I-Quality.gguf", SHA256: "a"}},
BaseTags: []string{"llm", "gguf"},
})
}
It("turns MTP on for a build off an APEX-MTP repo", func() {
// These weights retain the model's own MTP heads, so shipping them with
// speculation off is a strictly larger download at the same speed,
// ranked identically to the plain rung at the same tier.
e := renderTier("mudler/Qwen3.6-35B-A3B-APEX-MTP-GGUF")
Expect(e.Overrides["options"]).To(ContainElements(
"spec_type:draft-mtp", "spec_n_max:6", "spec_p_min:0.75"))
Expect(e.Tags).To(ContainElement("mtp"))
})
It("needs no drafter file, because the heads travel with the weights", func() {
e := renderTier("mudler/Qwen3.6-35B-A3B-APEX-MTP-GGUF")
Expect(e.Overrides).ToNot(HaveKey("draft_model"))
Expect(e.Files).To(HaveLen(1))
})
It("leaves a build off a plain APEX repo alone", func() {
e := renderTier("mudler/Qwen3.6-35B-A3B-APEX-GGUF")
Expect(e.Tags).ToNot(ContainElement("mtp"))
Expect(e.Overrides["options"]).To(ConsistOf("use_jinja:true"))
})
It("leaves an unsloth counterpart rung alone", func() {
// The counterpart quantizes the plain weights; nothing there carries heads.
e := renderTier("unsloth/Qwen3.6-35B-A3B-GGUF")
Expect(e.Tags).ToNot(ContainElement("mtp"))
Expect(e.Overrides["options"]).To(ConsistOf("use_jinja:true"))
})
})

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package main
import (
"regexp"
"sort"
"strings"
)
// WantedQuants is the fixed unsloth subset this generator emits. It is a
// deliberate subset: unsloth publishes north of 20 quants per repo, and the
// selector needs useful fitness points rather than every rung.
var WantedQuants = []string{"UD-Q4_K_M", "UD-Q5_K_M", "UD-Q6_K", "Q8_0"}
var shardRE = regexp.MustCompile(`-(\d{5})-of-(\d{5})\.gguf$`)
// QuantBuild is one unsloth quantization, which may be a single file or an
// ordered set of shards.
type QuantBuild struct {
Quant string
Files []GGUFFile
Sharded bool
}
// CounterpartCandidates returns the unsloth repo base names worth probing, most
// likely first. Both derivations are needed: the repo name finds
// unsloth/gemma-4-26B-A4B-it-GGUF, while the file stem is what matches for
// repos whose stem is the canonical model name.
func CounterpartCandidates(repoName, fileStem string) []string {
clean := func(s string) string {
s = strings.TrimSuffix(s, "-GGUF")
s = regexp.MustCompile(`-(MTP|TQ)$`).ReplaceAllString(s, "")
s = strings.TrimSuffix(s, "-APEX")
return regexp.MustCompile(`-(MTP|TQ)$`).ReplaceAllString(s, "")
}
out := []string{clean(repoName)}
if stem := clean(fileStem); stem != out[0] {
out = append(out, stem)
}
return out
}
// DiscoverUnslothQuants returns the wanted quants a repo publishes, handling
// both the flat single-file layout and the sharded layout where a quant lives
// in its own subdirectory.
func DiscoverUnslothQuants(files []GGUFFile) []QuantBuild {
var out []QuantBuild
for _, q := range WantedQuants {
var flat []GGUFFile
var shards []GGUFFile
for _, f := range files {
switch {
case !strings.Contains(f.Name, "/") && strings.HasSuffix(f.Name, "-"+q+".gguf"):
flat = append(flat, f)
case strings.HasPrefix(f.Name, q+"/") && shardRE.MatchString(f.Name):
shards = append(shards, f)
}
}
switch {
case len(flat) > 0:
out = append(out, QuantBuild{Quant: q, Files: flat})
case len(shards) > 0:
sort.Slice(shards, func(i, j int) bool { return shards[i].Name < shards[j].Name })
out = append(out, QuantBuild{Quant: q, Files: shards, Sharded: true})
}
}
return out
}

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package main
import (
. "github.com/onsi/ginkgo/v2"
. "github.com/onsi/gomega"
)
var _ = Describe("CounterpartCandidates", func() {
It("offers both the repo-derived and stem-derived names", func() {
// mudler/gemma-4-26B-A4B-it-APEX-GGUF ships gemma-4-26B-A4B-APEX-*.gguf,
// and only the repo-derived name finds unsloth/gemma-4-26B-A4B-it-GGUF.
got := CounterpartCandidates("gemma-4-26B-A4B-it-APEX-GGUF", "gemma-4-26B-A4B-APEX")
Expect(got).To(Equal([]string{"gemma-4-26B-A4B-it", "gemma-4-26B-A4B"}))
})
It("strips the MTP marker", func() {
got := CounterpartCandidates("Qwopus3.6-35B-A3B-v1-APEX-MTP-GGUF", "Qwopus3.6-35B-A3B-v1-APEX-MTP")
Expect(got[0]).To(Equal("Qwopus3.6-35B-A3B-v1"))
})
It("strips the TQ marker", func() {
// This is the branch that folds mudler/Qwen3.5-35B-A3B-APEX-TQ-GGUF into
// the qwen3.5-35b-a3b hub. Without it the probe is
// unsloth/Qwen3.5-35B-A3B-TQ-GGUF, which does not exist, so the family
// silently loses every unsloth rung.
got := CounterpartCandidates("Qwen3.5-35B-A3B-APEX-TQ-GGUF", "Qwen3.5-35B-A3B-APEX-TQ")
Expect(got).To(Equal([]string{"Qwen3.5-35B-A3B"}))
})
It("does not repeat a candidate when both derivations agree", func() {
got := CounterpartCandidates("Qwen3.6-35B-A3B-APEX-GGUF", "Qwen3.6-35B-A3B-APEX")
Expect(got).To(Equal([]string{"Qwen3.6-35B-A3B"}))
})
})
var _ = Describe("DiscoverUnslothQuants", func() {
It("finds flat single-file quants", func() {
files := []GGUFFile{
{Name: "Qwen3.6-35B-A3B-UD-Q4_K_M.gguf", SHA256: "a"},
{Name: "Qwen3.6-35B-A3B-UD-IQ1_M.gguf", SHA256: "b"},
}
got := DiscoverUnslothQuants(files)
Expect(got).To(HaveLen(1))
Expect(got[0].Quant).To(Equal("UD-Q4_K_M"))
Expect(got[0].Sharded).To(BeFalse())
Expect(got[0].Files).To(HaveLen(1))
})
It("collects a sharded quant from its subdirectory in shard order", func() {
files := []GGUFFile{
{Name: "UD-Q4_K_M/Step-3.7-Flash-UD-Q4_K_M-00002-of-00002.gguf", SHA256: "b"},
{Name: "UD-Q4_K_M/Step-3.7-Flash-UD-Q4_K_M-00001-of-00002.gguf", SHA256: "a"},
}
got := DiscoverUnslothQuants(files)
Expect(got).To(HaveLen(1))
Expect(got[0].Quant).To(Equal("UD-Q4_K_M"))
Expect(got[0].Sharded).To(BeTrue())
Expect(got[0].Files).To(HaveLen(2))
Expect(got[0].Files[0].Name).To(HaveSuffix("00001-of-00002.gguf"))
})
It("ignores quants outside the wanted subset", func() {
files := []GGUFFile{{Name: "Model-UD-IQ2_XXS.gguf", SHA256: "a"}}
Expect(DiscoverUnslothQuants(files)).To(BeEmpty())
})
})

312
.github/ci/apexentries/verify.go vendored Normal file
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package main
import (
"fmt"
"os"
"strings"
"gopkg.in/yaml.v3"
)
type verifyEntry struct {
Name string `yaml:"name"`
Tags []string `yaml:"tags"`
Variants []VariantRef `yaml:"variants"`
Overrides struct {
// Backend scopes the checks that only hold for one engine. An entry that
// declares none takes its configuration from the referenced url: template,
// which this verifier never reads, so it cannot be judged either way.
Backend string `yaml:"backend"`
Options []string `yaml:"options"`
// MMProj and DraftModel name the files that are not weights. They are
// the only signal for it: a drafter lands in the same models/ prefix as
// the weights, so the path alone cannot tell them apart.
MMProj string `yaml:"mmproj"`
DraftModel string `yaml:"draft_model"`
} `yaml:"overrides"`
Files []struct {
Filename string `yaml:"filename"`
SHA256 string `yaml:"sha256"`
URI string `yaml:"uri"`
} `yaml:"files"`
}
// Verify checks the invariants the variants schema and the tagging rule
// require. It returns every problem rather than the first, so one run tells the
// author everything that needs fixing.
func Verify(path string) []string {
raw, err := os.ReadFile(path)
if err != nil {
return []string{fmt.Sprintf("reading %s: %v", path, err)}
}
var entries []verifyEntry
if err := yaml.Unmarshal(raw, &entries); err != nil {
return []string{fmt.Sprintf("parsing %s: %v", path, err)}
}
var problems []string
byName := map[string]verifyEntry{}
for _, e := range entries {
if _, seen := byName[e.Name]; seen {
problems = append(problems, fmt.Sprintf("duplicate entry name: %s", e.Name))
continue
}
byName[e.Name] = e
}
for _, e := range entries {
for _, v := range e.Variants {
target, ok := byName[v.Model]
if !ok {
problems = append(problems, fmt.Sprintf("%s: variant %q does not exist", e.Name, v.Model))
continue
}
if len(target.Variants) > 0 {
problems = append(problems, fmt.Sprintf("%s: variant %q declares variants of its own", e.Name, v.Model))
}
}
for _, f := range e.Files {
if requiresSHA256(f.Filename) && f.SHA256 == "" {
problems = append(problems, fmt.Sprintf("%s: file %s has no sha256", e.Name, f.Filename))
}
}
problems = append(problems, checkWeightCount(e)...)
problems = append(problems, checkFeatureTag(e, "dflash")...)
problems = append(problems, checkFeatureTag(e, "mtp")...)
}
problems = append(problems, checkPathCollisions(entries)...)
return problems
}
// checkPathCollisions catches two different upstream files claiming one local
// path. The install layer keys on the local filename, so whichever entry is
// installed second either overwrites weights the first entry recorded a
// different sha256 for or is skipped as already present. Either way some entry
// afterwards serves bytes that do not match its own checksum, and nothing at
// install time says so.
//
// This is an index-wide invariant rather than a per-entry one: neither entry is
// wrong on its own and the collision exists only in their pairing. The usual
// source is a path scheme built from the repo's BARE name, because two owners
// publishing the same model name is routine for quantizers.
//
// Sharing a path is fine when the uri is the same, which is how several entries
// legitimately reuse one projector. Files with no uri are skipped: there is
// nothing to compare.
func checkPathCollisions(entries []verifyEntry) []string {
type source struct{ uri, entry string }
first := map[string]source{}
reported := map[string]bool{}
var problems []string
for _, e := range entries {
for _, f := range e.Files {
if f.Filename == "" || f.URI == "" {
continue
}
prev, seen := first[f.Filename]
if !seen {
first[f.Filename] = source{uri: f.URI, entry: e.Name}
continue
}
if prev.uri == f.URI || reported[f.Filename] {
continue
}
// Reported once per path however many entries pile onto it, so one
// heavily reused filename cannot bury the rest of the report.
reported[f.Filename] = true
problems = append(problems, fmt.Sprintf(
"local path %s is claimed by two different uris: %s (%s) and %s (%s)",
f.Filename, prev.uri, prev.entry, f.URI, e.Name))
}
}
return problems
}
// auxiliaryExtensions are the metadata formats an entry ships beside its
// weights, where an unverified download is a nuisance rather than a hole.
//
// The exclusion is stated as a list of metadata formats on purpose. Requiring
// the checksum only on a blessed list of weight formats would silently exempt
// every format nobody has shipped yet, and it already exempted safetensors
// weights, which are downloaded and loaded exactly like GGUF ones.
var auxiliaryExtensions = []string{".json", ".txt", ".md"}
// requiresSHA256 reports whether an unverified download of this file would be
// a supply-chain hole rather than a cosmetic gap.
func requiresSHA256(filename string) bool {
for _, ext := range auxiliaryExtensions {
if strings.HasSuffix(filename, ext) {
return false
}
}
return true
}
// checkWeightCount catches an entry carrying two whole models. The flat-match
// branch in DiscoverUnslothQuants appends every match, so a quant label that is
// a suffix of another one (Q8_0 of UD-Q8_0) collects both files into one build
// while the rendered model: points at only the first. The result downloads
// twice the bytes and serves whichever file sorted first, silently.
//
// Shards are exempt because a sharded build is legitimately many files.
//
// The collision is a property of llama-cpp quant discovery, so the check is
// scoped to that backend. Multi-component TTS, ASR and diffusion engines ship an
// encoder, a decoder and a vocoder as one model, and there the second GGUF is
// the design rather than a bug.
func checkWeightCount(e verifyEntry) []string {
if e.Overrides.Backend != "llama-cpp" {
return nil
}
var weights []string
for _, f := range e.Files {
switch {
case !strings.HasSuffix(f.Filename, ".gguf"):
case shardRE.MatchString(f.Filename):
case f.Filename == e.Overrides.MMProj:
case f.Filename == e.Overrides.DraftModel:
default:
weights = append(weights, f.Filename)
}
}
if len(weights) > 1 {
return []string{fmt.Sprintf("%s: more than one weight file: %s", e.Name, strings.Join(weights, ", "))}
}
return nil
}
// checkFeatureTag enforces the rule in both directions. A tag without the
// configuration promotes a build that is no faster; configuration without the
// tag leaves a genuinely faster build ranked as plain.
//
// It only speaks about backends whose declaration it can actually read, because
// a rule applied where the evidence is invisible reports noise rather than bugs.
func checkFeatureTag(e verifyEntry, feature string) []string {
decl, configured, judgeable := featureDeclaration(e, feature)
if !judgeable {
return nil
}
tagged := false
for _, t := range e.Tags {
if t == feature {
tagged = true
break
}
}
switch {
case tagged && !configured:
return []string{fmt.Sprintf("%s: tagged %s but sets no %s", e.Name, feature, decl)}
case configured && !tagged:
return []string{fmt.Sprintf("%s: sets %s but is not tagged %s", e.Name, decl, feature)}
}
return nil
}
// featureDeclaration implements the per-backend table in
// .agents/adding-gallery-models.md. It returns the declaration the backend uses
// to configure the feature, whether the entry carries it, and whether this
// verifier is in a position to answer at all.
func featureDeclaration(e verifyEntry, feature string) (decl string, configured, judgeable bool) {
switch e.Overrides.Backend {
case "llama-cpp":
decl = "spec_type:draft-" + feature
for _, o := range e.Overrides.Options {
if strings.TrimSpace(o) == decl {
return decl, true, true
}
}
return decl, false, true
case "ds4":
// ds4 carries the MTP heads in the weights and turns them on with
// mtp_path / mtp_draft. It has no dflash counterpart, so dflash is not a
// question that can be asked of a ds4 entry.
if feature != "mtp" {
return "", false, false
}
decl = "mtp_path:"
for _, o := range e.Overrides.Options {
o = strings.TrimSpace(o)
if strings.HasPrefix(o, "mtp_path:") || strings.HasPrefix(o, "mtp_draft:") {
return decl, true, true
}
}
return decl, false, true
default:
// sglang configures the feature with speculative_algorithm: in the
// referenced gallery/*.yaml, and an entry that declares no backend takes
// its whole configuration from its url: template. Verify reads one index
// file and follows neither, so it must not judge these in either
// direction.
return "", false, false
}
}
// UnaccountedQuants reports a wanted quant the repo demonstrably publishes but
// that discovery produced no build for. The layout that triggers it today is
// root-level shards, which match neither branch of DiscoverUnslothQuants; no
// counterpart ships that way yet, but a batch generator must not drop a build
// with nothing said about it.
func UnaccountedQuants(files []GGUFFile, builds []QuantBuild) []string {
built := map[string]bool{}
for _, b := range builds {
built[b.Quant] = true
}
var problems []string
for _, q := range WantedQuants {
if built[q] {
continue
}
for _, f := range files {
if filePublishesQuant(f.Name, q) {
problems = append(problems, fmt.Sprintf("quant %s is published upstream (%s) but produced no build", q, f.Name))
break
}
}
}
return problems
}
// filePublishesQuant reports whether an upstream file is a publication of
// quant q. It anchors on the quant label the way DiscoverUnslothQuants does,
// as the trailing token of the base name or as the sharding subdirectory, so
// the diagnostic and the discovery it audits cannot disagree about what a file
// is.
//
// An unanchored match would reproduce the very collision this diagnostic warns
// about: Q8_0 is a substring of UD-Q8_0, so a repo publishing only UD-Q8_0
// would be reported as publishing an unbuilt Q8_0, which it does not, and
// UD-Q8_0 is not a wanted quant at all.
func filePublishesQuant(name, q string) bool {
if strings.HasPrefix(name, q+"/") {
return true
}
base := name[strings.LastIndex(name, "/")+1:]
// Shard numbering sits between the quant label and the extension, so it has
// to come off before the label can be read as the trailing token. Root-level
// shards are the layout that matches neither branch of
// DiscoverUnslothQuants, and so the layout this diagnostic mainly catches.
base = shardRE.ReplaceAllString(base, ".gguf")
if !strings.HasSuffix(base, "-"+q+".gguf") {
return false
}
// UD- is unsloth's dynamic-quant modifier, and UD-<q> is a distinct quant
// label rather than a publication of <q>.
return !strings.HasSuffix(base, "-UD-"+q+".gguf")
}

480
.github/ci/apexentries/verify_test.go vendored Normal file
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package main
import (
"os"
"path/filepath"
"strings"
. "github.com/onsi/ginkgo/v2"
. "github.com/onsi/gomega"
)
var _ = Describe("Verify", func() {
write := func(body string) string {
dir := GinkgoT().TempDir()
p := filepath.Join(dir, "index.yaml")
Expect(os.WriteFile(p, []byte(body), 0o600)).To(Succeed())
return p
}
It("passes a sound index", func() {
Expect(Verify(write(`
- name: parent
variants:
- model: child
files:
- filename: a.gguf
sha256: aa
uri: https://example.com/a.gguf
- name: child
files:
- filename: b.gguf
sha256: bb
uri: https://example.com/b.gguf
`))).To(BeEmpty())
})
It("reports a variant pointing at a missing entry", func() {
Expect(Verify(write(`
- name: parent
variants:
- model: ghost
files:
- filename: a.gguf
sha256: aa
uri: https://example.com/a.gguf
`))).To(ContainElement(ContainSubstring("ghost")))
})
It("reports a variant that itself declares variants", func() {
Expect(Verify(write(`
- name: parent
variants:
- model: child
files:
- filename: a.gguf
sha256: aa
uri: https://example.com/a.gguf
- name: child
variants:
- model: grandchild
files:
- filename: b.gguf
sha256: bb
uri: https://example.com/b.gguf
- name: grandchild
files:
- filename: c.gguf
sha256: cc
uri: https://example.com/c.gguf
`))).To(ContainElement(ContainSubstring("declares variants of its own")))
})
It("reports duplicate entry names", func() {
Expect(Verify(write(`
- name: dup
files:
- filename: a.gguf
sha256: aa
uri: https://example.com/a.gguf
- name: dup
files:
- filename: b.gguf
sha256: bb
uri: https://example.com/b.gguf
`))).To(ContainElement(ContainSubstring("duplicate entry name")))
})
It("reports a file with no sha256", func() {
Expect(Verify(write(`
- name: one
files:
- filename: a.gguf
uri: https://example.com/a.gguf
`))).To(ContainElement(ContainSubstring("no sha256")))
})
It("reports an entry tagged dflash without a matching spec_type", func() {
Expect(Verify(write(`
- name: liar
tags:
- dflash
overrides:
backend: llama-cpp
options:
- use_jinja:true
files:
- filename: a.gguf
sha256: aa
uri: https://example.com/a.gguf
`))).To(ContainElement(ContainSubstring("tagged dflash")))
})
It("reports an entry configuring spec_type without the tag", func() {
Expect(Verify(write(`
- name: shy
overrides:
backend: llama-cpp
options:
- spec_type:draft-mtp
files:
- filename: a.gguf
sha256: aa
uri: https://example.com/a.gguf
`))).To(ContainElement(ContainSubstring("not tagged mtp")))
})
// ds4 carries the MTP heads in the weights and names them with mtp_path, so
// the rule holds there in a different vocabulary rather than not at all.
It("reports a ds4 entry configuring mtp_path without the tag", func() {
Expect(Verify(write(`
- name: ds4-shy
overrides:
backend: ds4
options:
- mtp_path:model-mtp.gguf
- mtp_draft:2
files:
- filename: a.gguf
sha256: aa
uri: https://example.com/a.gguf
`))).To(ContainElement(ContainSubstring("not tagged mtp")))
})
It("reports a ds4 entry tagged mtp that configures no mtp_path", func() {
Expect(Verify(write(`
- name: ds4-liar
tags:
- mtp
overrides:
backend: ds4
options:
- context_size:4096
files:
- filename: a.gguf
sha256: aa
uri: https://example.com/a.gguf
`))).To(ContainElement(ContainSubstring("tagged mtp")))
})
It("accepts a ds4 entry that both configures mtp_path and carries the tag", func() {
Expect(Verify(write(`
- name: ds4-honest
tags:
- mtp
overrides:
backend: ds4
options:
- mtp_path:model-mtp.gguf
files:
- filename: a.gguf
sha256: aa
uri: https://example.com/a.gguf
`))).To(BeEmpty())
})
// sglang declares speculative_algorithm in the referenced gallery/*.yaml,
// which Verify never reads, so it may not judge such an entry either way.
It("says nothing about an sglang entry tagged mtp", func() {
Expect(Verify(write(`
- name: sglang-mtp
tags:
- mtp
overrides:
backend: sglang
files: []
`))).To(BeEmpty())
})
It("says nothing about the tag on an entry with no declared backend", func() {
Expect(Verify(write(`
- name: templated
tags:
- mtp
files:
- filename: a.gguf
sha256: aa
uri: https://example.com/a.gguf
`))).To(BeEmpty())
})
// The flat-match branch in unsloth.go appends every match, so a repo
// publishing both a plain and a UD Q8_0 renders one entry holding two full
// models while model: points at only the first.
It("reports an entry holding more than one non-shard weight file", func() {
Expect(Verify(write(`
- name: greedy
overrides:
backend: llama-cpp
options:
- use_jinja:true
parameters:
model: llama-cpp/models/repo/Model-Q8_0.gguf
files:
- filename: llama-cpp/models/repo/Model-Q8_0.gguf
sha256: aa
uri: https://example.com/a.gguf
- filename: llama-cpp/models/repo/Model-UD-Q8_0.gguf
sha256: bb
uri: https://example.com/b.gguf
`))).To(ContainElement(ContainSubstring("more than one weight file")))
})
It("accepts many shards alongside an mmproj and a drafter", func() {
Expect(Verify(write(`
- name: sharded
tags:
- mtp
overrides:
backend: llama-cpp
options:
- spec_type:draft-mtp
mmproj: llama-cpp/mmproj/repo/mm.gguf
draft_model: llama-cpp/models/repo/Model-draft.gguf
files:
- filename: llama-cpp/models/repo/Model-00001-of-00002.gguf
sha256: aa
uri: https://example.com/a.gguf
- filename: llama-cpp/models/repo/Model-00002-of-00002.gguf
sha256: bb
uri: https://example.com/b.gguf
- filename: llama-cpp/mmproj/repo/mm.gguf
sha256: cc
uri: https://example.com/c.gguf
- filename: llama-cpp/models/repo/Model-draft.gguf
sha256: dd
uri: https://example.com/d.gguf
`))).To(BeEmpty())
})
// Multi-component TTS and ASR engines legitimately ship an encoder, a
// tokenizer, a vocoder and so on as one model, so the collision the weight
// count catches does not exist for them.
It("accepts a multi-component non-llama-cpp entry declaring five weights", func() {
Expect(Verify(write(`
- name: multi
overrides:
backend: qwen3-tts-cpp
files:
- filename: talker.gguf
sha256: aa
uri: https://example.com/a.gguf
- filename: tokenizer.gguf
sha256: bb
uri: https://example.com/b.gguf
- filename: vocoder.gguf
sha256: cc
uri: https://example.com/c.gguf
- filename: encoder.gguf
sha256: dd
uri: https://example.com/d.gguf
- filename: vae.gguf
sha256: ee
uri: https://example.com/e.gguf
`))).To(BeEmpty())
})
It("says nothing about the weight count of an entry with no declared backend", func() {
Expect(Verify(write(`
- name: templated-weights
files:
- filename: model-Q4_K_M.gguf
sha256: aa
uri: https://example.com/a.gguf
- filename: model-mmproj-f16.gguf
sha256: bb
uri: https://example.com/b.gguf
`))).To(BeEmpty())
})
It("says nothing about an auxiliary metadata file carrying no sha256", func() {
Expect(Verify(write(`
- name: aux
files:
- filename: a.gguf
sha256: aa
uri: https://example.com/a.gguf
- filename: params.json
sha256: ""
uri: https://example.com/params.json
`))).To(BeEmpty())
})
// safetensors weights are downloaded and loaded exactly like GGUF weights,
// so an unverified one is the same supply-chain hole.
It("reports a safetensors weight carrying no sha256", func() {
Expect(Verify(write(`
- name: vae
files:
- filename: wan_2.1_vae.safetensors
sha256: ""
uri: https://example.com/vae.safetensors
`))).To(ContainElement(ContainSubstring("no sha256")))
})
It("says nothing about a txt or md file carrying no sha256", func() {
Expect(Verify(write(`
- name: docs
files:
- filename: notes.txt
sha256: ""
uri: https://example.com/notes.txt
- filename: README.md
sha256: ""
uri: https://example.com/README.md
`))).To(BeEmpty())
})
})
var _ = Describe("UnaccountedQuants", func() {
// A quant published only as root-level shards matches neither branch in
// DiscoverUnslothQuants, so without this diagnostic the build would vanish
// from a batch run with nothing said about it.
It("reports a wanted quant upstream publishes but discovery dropped", func() {
files := []GGUFFile{
{Name: "Model-UD-Q4_K_M-00001-of-00003.gguf", SHA256: "aa"},
{Name: "Model-UD-Q4_K_M-00002-of-00003.gguf", SHA256: "bb"},
{Name: "Model-UD-Q4_K_M-00003-of-00003.gguf", SHA256: "cc"},
}
Expect(UnaccountedQuants(files, DiscoverUnslothQuants(files))).
To(ContainElement(ContainSubstring("UD-Q4_K_M")))
})
It("says nothing when every published wanted quant produced a build", func() {
files := []GGUFFile{
{Name: "Model-UD-Q4_K_M.gguf", SHA256: "aa"},
{Name: "UD-Q6_K/Model-UD-Q6_K-00001-of-00002.gguf", SHA256: "bb"},
{Name: "UD-Q6_K/Model-UD-Q6_K-00002-of-00002.gguf", SHA256: "cc"},
}
Expect(UnaccountedQuants(files, DiscoverUnslothQuants(files))).To(BeEmpty())
})
It("says nothing about a wanted quant the repo does not publish at all", func() {
files := []GGUFFile{{Name: "Model-UD-Q4_K_M.gguf", SHA256: "aa"}}
Expect(UnaccountedQuants(files, DiscoverUnslothQuants(files))).To(BeEmpty())
})
// UD-Q8_0 is its own quant label and is not a wanted one. Reading it as a
// publication of Q8_0 is the substring collision this diagnostic exists to
// warn about, and subdirectory-sharded UD quants are the normal unsloth
// layout for large repos, so the false positive would fire on every batch.
It("does not read a subdirectory-sharded UD-Q8_0 as a published Q8_0", func() {
files := []GGUFFile{
{Name: "UD-Q8_0/Model-UD-Q8_0-00001-of-00002.gguf", SHA256: "aa"},
{Name: "UD-Q8_0/Model-UD-Q8_0-00002-of-00002.gguf", SHA256: "bb"},
}
Expect(UnaccountedQuants(files, DiscoverUnslothQuants(files))).To(BeEmpty())
})
// A quant in its own subdirectory but not shard-numbered matches neither
// branch of DiscoverUnslothQuants, so it is genuinely published and
// genuinely undiscovered.
It("reports a wanted quant published in its own subdirectory without shard numbering", func() {
files := []GGUFFile{{Name: "Q8_0/Model-Q8_0.gguf", SHA256: "aa"}}
Expect(UnaccountedQuants(files, DiscoverUnslothQuants(files))).
To(ContainElement(ContainSubstring("quant Q8_0 is published upstream")))
})
// builds is empty on purpose: it isolates the file-to-quant match from
// whatever DiscoverUnslothQuants would have made of the same file.
It("matches the flat single-file layout", func() {
files := []GGUFFile{{Name: "Model-Q8_0.gguf", SHA256: "aa"}}
Expect(UnaccountedQuants(files, nil)).
To(ConsistOf(ContainSubstring("quant Q8_0 is published upstream")))
})
})
var _ = Describe("Verify local path collisions", func() {
write := func(body string) string {
dir := GinkgoT().TempDir()
p := filepath.Join(dir, "index.yaml")
Expect(os.WriteFile(p, []byte(body), 0o600)).To(Succeed())
return p
}
It("reports one local path claimed by two different uris", func() {
// The shape that shipped: LiquidAI and unsloth both publish
// LFM2.5-8B-A1B-GGUF, so a path built from the bare repo name gives both
// entries the same local file under two different checksums.
Expect(Verify(write(`
- name: lfm2.5-8b-a1b
files:
- filename: llama-cpp/models/LFM2.5-8B-A1B-GGUF/LFM2.5-8B-A1B-Q8_0.gguf
sha256: 33ab3b8c
uri: https://huggingface.co/LiquidAI/LFM2.5-8B-A1B-GGUF/resolve/main/LFM2.5-8B-A1B-Q8_0.gguf
- name: lfm2.5-8b-a1b-q8-0
files:
- filename: llama-cpp/models/LFM2.5-8B-A1B-GGUF/LFM2.5-8B-A1B-Q8_0.gguf
sha256: ec11666b
uri: https://huggingface.co/unsloth/LFM2.5-8B-A1B-GGUF/resolve/main/LFM2.5-8B-A1B-Q8_0.gguf
`))).To(ContainElement(SatisfyAll(
ContainSubstring("claimed by two different uris"),
ContainSubstring("lfm2.5-8b-a1b-q8-0"),
)))
})
It("accepts two entries reusing one file from the same uri", func() {
// Sibling builds of one repo legitimately share a projector.
Expect(Verify(write(`
- name: a
files:
- filename: llama-cpp/mmproj/mudler/Example-GGUF/mmproj-F16.gguf
sha256: cc
uri: https://huggingface.co/mudler/Example-GGUF/resolve/main/mmproj-F16.gguf
- name: b
files:
- filename: llama-cpp/mmproj/mudler/Example-GGUF/mmproj-F16.gguf
sha256: cc
uri: https://huggingface.co/mudler/Example-GGUF/resolve/main/mmproj-F16.gguf
`))).To(BeEmpty())
})
It("reports a collision once however many entries pile onto the path", func() {
problems := Verify(write(`
- name: a
files:
- filename: shared.gguf
sha256: aa
uri: https://example.com/a.gguf
- name: b
files:
- filename: shared.gguf
sha256: bb
uri: https://example.com/b.gguf
- name: c
files:
- filename: shared.gguf
sha256: cc
uri: https://example.com/c.gguf
`))
var collisions int
for _, p := range problems {
if strings.Contains(p, "claimed by two different uris") {
collisions++
}
}
Expect(collisions).To(Equal(1))
})
It("says nothing about files that carry no uri", func() {
// A hand-written entry may record only a checksum. There is no upstream
// to compare, so the check cannot conclude anything either way.
Expect(Verify(write(`
- name: a
files:
- filename: shared.gguf
sha256: aa
- name: b
files:
- filename: shared.gguf
sha256: bb
`))).To(BeEmpty())
})
})

152
.github/ci/galleryedit/edit.go vendored Normal file
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// Package galleryedit splices variant references into the LocalAI gallery index
// as TEXT.
//
// Re-serialising the index through a YAML marshaller would reflow 40,000 lines,
// drop the anchors and merge keys the gallery relies on, and produce a diff no
// reviewer could read, which makes a pull request worthless even when the
// content inside it is right. Every generator that adds variants to an entry the
// gallery already ships therefore edits lines, and they share this package so
// that two of them cannot drift apart on where a variants block belongs.
package galleryedit
import (
"fmt"
"regexp"
"sort"
"strings"
)
var (
entryStart = regexp.MustCompile(`^-(?: |$)`)
inlineName = regexp.MustCompile(`^- (?:&\S+ )?name:`)
keyName = regexp.MustCompile(`^ name:`)
keyVariants = regexp.MustCompile(`^ variants:\s*(.*)$`)
variantItem = regexp.MustCompile(`^ - `)
unsafeInName = regexp.MustCompile(`[:#{}\[\],&*?|>'"%@` + "`" + `]|^\s|\s$`)
)
// Entry is the positional view of one gallery entry: what it is called and
// which lines it occupies. Nothing about what the entry MEANS belongs here, so
// each caller keeps its own semantic decode and only hands over the coordinates.
type Entry struct {
Name string
// StartLine and EndLine bound the entry, zero based and half open.
StartLine int
EndLine int
}
// Insert is one entry's pending variants addition. The caller owns the contents
// of Variants: this package neither orders nor deduplicates them, because the
// right order and the right dedup rule differ between generators.
type Insert struct {
Entry Entry
Variants []string
}
// Scan splits index text into lines and reports the line each top level list
// item begins on.
func Scan(text string) (lines []string, starts []int) {
lines = strings.Split(text, "\n")
for i, line := range lines {
if entryStart.MatchString(line) {
starts = append(starts, i)
}
}
return lines, starts
}
// Apply splices every insert into the index lines and returns the new text.
func Apply(lines []string, inserts []Insert) ([]string, error) {
type edit struct {
at int
remove int
insert []string
}
var edits []edit
for _, in := range inserts {
if len(in.Variants) == 0 {
continue
}
items := make([]string, 0, len(in.Variants))
for _, v := range in.Variants {
items = append(items, " - model: "+QuoteName(v))
}
at, remove, err := insertionPoint(lines, in.Entry)
if err != nil {
return nil, err
}
block := items
if remove > 0 || !hasVariantsKey(lines, in.Entry) {
block = append([]string{" variants:"}, items...)
}
edits = append(edits, edit{at: at, remove: remove, insert: block})
}
// Applying from the bottom up keeps every line number computed against the
// original text valid while earlier edits are still pending.
sort.Slice(edits, func(i, j int) bool { return edits[i].at > edits[j].at })
out := append([]string(nil), lines...)
for _, e := range edits {
tail := append([]string(nil), out[e.at+e.remove:]...)
out = append(out[:e.at], append(append([]string(nil), e.insert...), tail...)...)
}
return out, nil
}
func hasVariantsKey(lines []string, e Entry) bool {
for i := e.StartLine; i < e.EndLine; i++ {
if keyVariants.MatchString(lines[i]) {
return true
}
}
return false
}
// insertionPoint reports where new variant items belong, and how many existing
// lines the insertion replaces.
//
// An entry with no variants key gets one right after its name, which is where
// the hand-written families put it. An entry with an empty "variants: []" has
// that line replaced by a block. An entry with a block gets its items appended.
func insertionPoint(lines []string, e Entry) (at int, remove int, err error) {
for i := e.StartLine; i < e.EndLine; i++ {
m := keyVariants.FindStringSubmatch(lines[i])
if m == nil {
continue
}
if strings.TrimSpace(m[1]) == "[]" {
return i, 1, nil
}
if strings.TrimSpace(m[1]) != "" {
return 0, 0, fmt.Errorf("entry %q writes its variants inline (%q); this job only edits block lists", e.Name, strings.TrimSpace(m[1]))
}
last := i
for j := i + 1; j < e.EndLine && variantItem.MatchString(lines[j]); j++ {
last = j
}
return last + 1, 0, nil
}
if inlineName.MatchString(lines[e.StartLine]) {
return e.StartLine + 1, 0, nil
}
for i := e.StartLine; i < e.EndLine; i++ {
if keyName.MatchString(lines[i]) {
return i + 1, 0, nil
}
}
return 0, 0, fmt.Errorf("entry %q has no name line to anchor the insertion to", e.Name)
}
// QuoteName quotes a variant reference when the name would otherwise change
// meaning as bare YAML. Config-suffixed names carry a ":" and always need it.
func QuoteName(name string) string {
if unsafeInName.MatchString(name) {
return `"` + strings.ReplaceAll(name, `"`, `\"`) + `"`
}
return name
}

76
.github/ci/gen-redirects.sh vendored Executable file
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#!/usr/bin/env bash
#
# Generate client-side redirects for the documentation URLs that used to live at
# the site root.
#
# Until this site existed, the Hugo docs site WAS localai.io, so pages
# were published at /features/..., /getting-started/..., /faq/ and so on. The
# docs now build under /docs/, and GitHub Pages serves static files only: there
# is no server-side rewrite, no .htaccess, no _redirects. The only way to keep
# every published, bookmarked and search-indexed URL alive is to leave a real
# HTML file at the old address that sends the browser to the new one.
#
# Anything the main site already publishes wins: it owns /, /engines/,
# /blog/ and friends, so an existing file is never replaced.
#
# Usage: gen-redirects.sh <public-dir> [base-url]
# public-dir merged output directory (main site with docs/ inside it)
# base-url absolute or root-relative prefix the deployment is served from,
# trailing slash optional (default "/")
set -euo pipefail
PUBLIC_DIR=${1:?usage: gen-redirects.sh <public-dir> [base-url]}
BASE_URL=${2:-/}
# Normalise to exactly one trailing slash so concatenation below is predictable.
BASE_URL="${BASE_URL%/}/"
DOCS_DIR="${PUBLIC_DIR}/docs"
if [ ! -d "$DOCS_DIR" ]; then
echo "gen-redirects: no docs output at ${DOCS_DIR}" >&2
exit 1
fi
created=0
skipped=0
# Every .html file is a reachable old URL, not just directory indexes: the
# generated model gallery ships as a bare gallery.html and used to sit at the
# root too.
while IFS= read -r src; do
rel=${src#"$DOCS_DIR"/}
dst="${PUBLIC_DIR}/${rel}"
if [ -e "$dst" ]; then
skipped=$((skipped + 1))
continue
fi
# Link to the directory, not to its index.html, so the redirect target is the
# canonical URL the docs site itself advertises.
target="${BASE_URL}docs/${rel%index.html}"
mkdir -p "$(dirname "$dst")"
printf '%s' '<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>Moved</title>
<link rel="canonical" href="'"$target"'">
<meta name="robots" content="noindex">
<meta http-equiv="refresh" content="0; url='"$target"'">
</head>
<body>
<p>This page moved to <a href="'"$target"'">'"$target"'</a>.</p>
</body>
</html>
' > "$dst"
created=$((created + 1))
done <<EOF
$(find "$DOCS_DIR" -type f -name '*.html' | sort)
EOF
echo "gen-redirects: ${created} redirect(s) written, ${skipped} path(s) left to the main site"

64
.github/ci/refresh-site-counters.sh vendored Executable file
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@@ -0,0 +1,64 @@
#!/usr/bin/env bash
# Refreshes the counters shown on the landing page from the GitHub API.
#
# The numbers used to be typed into the templates by hand, which meant they
# only moved when somebody remembered, and a stale star count on the front
# page is worse than no star count. Everything the API can answer for lives
# in website/data/stats.yaml and is rewritten wholesale by this script.
#
# Anything the API cannot answer for (the Discord member count) is read back
# out of the existing file and carried through untouched.
set -euo pipefail
REPO="${REPO:-mudler/LocalAI}"
OUT="${OUT:-website/data/stats.yaml}"
# The contributors and releases endpoints are paginated and never report a
# total. Asking for one item per page makes the last page number equal to the
# item count, which the Link header hands over.
count_via_link_header() {
local path="$1" link last
link=$(gh api -i "${path}?per_page=1" 2>/dev/null | tr -d '\r' | grep -i '^link:' || true)
if [ -z "$link" ]; then
# No Link header means a single page, so count that page directly.
gh api "${path}?per_page=100" --jq 'length'
return
fi
last=$(sed -n 's/.*[?&]page=\([0-9]*\)>; rel="last".*/\1/p' <<<"$link")
[ -n "$last" ] || { gh api "${path}?per_page=100" --jq 'length'; return; }
printf '%s\n' "$last"
}
read -r stars forks < <(gh api "repos/${REPO}" --jq '"\(.stargazers_count) \(.forks_count)"')
contributors=$(count_via_link_header "repos/${REPO}/contributors")
releases=$(count_via_link_header "repos/${REPO}/releases")
# Not derivable from the GitHub API, so keep whatever is already on disk.
discord=$(sed -n 's/^discord: *\([0-9]*\).*/\1/p' "$OUT" 2>/dev/null | head -1)
discord="${discord:-0}"
for n in stars forks contributors releases; do
v="${!n}"
[[ "$v" =~ ^[0-9]+$ ]] && [ "$v" -gt 0 ] || {
echo "refusing to write: ${n} came back as '${v}'" >&2
exit 1
}
done
cat > "$OUT" <<YAML
# Counters shown on the landing page.
#
# The four GitHub fields are rewritten by .github/ci/refresh-site-counters.sh,
# which runs weekly from .github/workflows/refresh-site-counters.yml. Editing
# them by hand works but will be overwritten on the next run.
stars: ${stars}
forks: ${forks}
contributors: ${contributors}
releases: ${releases}
# The GitHub API cannot answer for this one, so it is maintained by hand and
# the refresh script carries it through untouched.
discord: ${discord}
YAML
echo "stars=${stars} forks=${forks} contributors=${contributors} releases=${releases} discord=${discord}"

133
.github/ci/variantproposals/body.go vendored Normal file
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package main
import (
"fmt"
"strings"
)
// RenderBody writes the pull request body.
//
// The body is the product of this job, not the diff. Grouping is a judgement
// call that has gone wrong in both directions before, so a reviewer has to be
// able to accept or reject each family from the body alone, without opening
// HuggingFace to work out whether two entries hold the same weights.
func RenderBody(r *Result, ledgerPath string) string {
var b strings.Builder
b.WriteString("## Proposed gallery variant groupings\n\n")
b.WriteString("This is a proposal, not a decision. The gallery agent adds one build per model and never joins an existing family, so entries that are alternative builds of the same weights drift apart as the gallery grows. This job re-applies the grouping heuristics from the manual sweeps and asks a human to confirm.\n\n")
b.WriteString("Each family below lists the parent, the variants, and the evidence that they are the same weights. **Reject anything whose evidence you do not believe.**\n\n")
b.WriteString(fmt.Sprintf("To decline a family permanently, add one line to `%s` in this pull request and close it:\n\n", ledgerPath))
b.WriteString("```yaml\npairs:\n - {parent: some-model, variant: some-model-thing, reason: \"different finetune\"}\n```\n\n")
b.WriteString(fmt.Sprintf("### Proposed families (%d)\n\n", len(r.Families)))
if len(r.Families) == 0 {
b.WriteString("None.\n\n")
}
for _, f := range r.Families {
b.WriteString(fmt.Sprintf("#### `%s`\n\n", f.Parent))
b.WriteString("| variant | signals | evidence |\n|---|---|---|\n")
for _, p := range f.Proposals {
b.WriteString(fmt.Sprintf("| `%s` | %s | %s |\n", p.Variant, joinSignals(p.Evidence.Signals), describeEvidence(p.Evidence)))
}
b.WriteString("\n")
}
b.WriteString(fmt.Sprintf("### Declined by the ledger (%d)\n\n", len(r.Suppressed)))
if len(r.Suppressed) == 0 {
b.WriteString("Nothing the heuristics found was already on the ledger.\n\n")
} else {
b.WriteString("Candidates the heuristics found and the ledger has already settled. They are listed so the ledger's effect stays visible rather than silently shrinking the job's output.\n\n")
for _, s := range r.Suppressed {
b.WriteString(fmt.Sprintf("- `%s` + `%s`: %s\n", s.A, s.B, s.Reason))
}
b.WriteString("\n")
}
if len(r.AliasSkipped) > 0 {
b.WriteString(fmt.Sprintf("### Aliases, not variants (%d)\n\n", len(r.AliasSkipped)))
b.WriteString("These entries install byte for byte the same payload. An alias exists so clients can send a particular name; folding it under another entry would hide that name.\n\n")
for _, s := range r.AliasSkipped {
b.WriteString(fmt.Sprintf("- `%s` + `%s`: %s\n", s.A, s.B, s.Reason))
}
b.WriteString("\n")
}
if len(r.Refusals) > 0 {
b.WriteString(fmt.Sprintf("### Found but refused (%d)\n\n", len(r.Refusals)))
b.WriteString("Candidates the heuristics found but the authoring rules would not let this job write. They need a human edit or a rule change.\n\n")
for _, ref := range r.Refusals {
b.WriteString(fmt.Sprintf("- %s: %s\n", codeList(ref.Members), ref.Reason))
}
b.WriteString("\n")
}
b.WriteString("---\n\nOpened by `.github/ci/variantproposals`. Heuristics and the rejection ledger live there and in the ledger file; a wrong proposal is a bug in one of the two.\n")
return b.String()
}
func joinSignals(signals []Signal) string {
if len(signals) == 0 {
return "inferred through another member of the family"
}
out := make([]string, 0, len(signals))
for _, s := range signals {
out = append(out, "`"+string(s)+"`")
}
return strings.Join(out, ", ")
}
func describeEvidence(e Evidence) string {
var parts []string
if e.SharedStem != "" {
parts = append(parts, fmt.Sprintf("same name once quantization markers are stripped: `%s`", e.SharedStem))
}
if e.SharedFile != "" {
parts = append(parts, fmt.Sprintf("same primary weight filename once quantization markers are stripped: `%s`", e.SharedFile))
}
if e.SharedRepo != "" {
parts = append(parts, fmt.Sprintf("same upstream repo `%s`", e.SharedRepo))
}
if len(e.QuantTokens) > 0 {
parts = append(parts, "differing quantization tokens: `"+strings.Join(e.QuantTokens, "`, `")+"`")
}
if len(parts) == 0 {
return "reached this family through another member"
}
return strings.Join(parts, "; ")
}
func codeList(names []string) string {
out := make([]string, 0, len(names))
for _, n := range names {
out = append(out, "`"+n+"`")
}
return strings.Join(out, " + ")
}
// RenderSummary is the terminal-facing digest of a run, so the workflow log
// says what happened without anyone opening the pull request.
func RenderSummary(r *Result) string {
var b strings.Builder
fmt.Fprintf(&b, "families proposed: %d\n", len(r.Families))
for _, f := range r.Families {
names := make([]string, 0, len(f.Proposals))
for _, p := range f.Proposals {
names = append(names, p.Variant)
}
fmt.Fprintf(&b, " %s <- %s\n", f.Parent, strings.Join(names, ", "))
}
fmt.Fprintf(&b, "declined by ledger: %d\n", len(r.Suppressed))
for _, s := range r.Suppressed {
fmt.Fprintf(&b, " %s\n", s)
}
fmt.Fprintf(&b, "aliases skipped: %d\n", len(r.AliasSkipped))
for _, s := range r.AliasSkipped {
fmt.Fprintf(&b, " %s\n", s)
}
fmt.Fprintf(&b, "refused: %d\n", len(r.Refusals))
for _, ref := range r.Refusals {
fmt.Fprintf(&b, " %s: %s\n", strings.Join(ref.Members, " + "), ref.Reason)
}
return b.String()
}

42
.github/ci/variantproposals/edit.go vendored Normal file
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package main
import (
"fmt"
"strings"
"github.com/mudler/LocalAI/.github/ci/galleryedit"
)
// ApplyFamilies writes the proposed variant lists into the index text.
//
// The line editing itself lives in galleryedit, shared with the apexentries
// generator. Both jobs add variants to entries the gallery already ships, and a
// second answer to "where does a variants block go" would drift from this one;
// see that package for why the edit is textual rather than a YAML round trip.
func ApplyFamilies(ix *Index, families []Family) ([]string, error) {
byName, _ := ix.ByName()
var inserts []galleryedit.Insert
for _, f := range families {
entry, ok := byName[strings.ToLower(f.Parent)]
if !ok {
return nil, fmt.Errorf("parent %q is not in the index", f.Parent)
}
variants := make([]string, 0, len(f.Proposals))
for _, p := range f.Proposals {
variants = append(variants, p.Variant)
}
inserts = append(inserts, galleryedit.Insert{
Entry: galleryedit.Entry{
Name: entry.Name,
StartLine: entry.StartLine,
EndLine: entry.EndLine,
},
Variants: variants,
})
}
return galleryedit.Apply(ix.Lines, inserts)
}

153
.github/ci/variantproposals/edit_test.go vendored Normal file
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package main
import (
"strings"
. "github.com/onsi/ginkgo/v2"
. "github.com/onsi/gomega"
)
var _ = Describe("ApplyFamilies", func() {
apply := func(ix *Index, families []Family) []string {
lines, err := ApplyFamilies(ix, families)
ExpectWithOffset(1, err).ToNot(HaveOccurred())
return lines
}
// insertedLines is what a reviewer would see in the diff. A textual editor
// that reflowed the file would show thousands here, which is the failure
// this whole approach exists to avoid.
insertedLines := func(before, after []string) int {
remaining := map[string]int{}
for _, l := range before {
remaining[l]++
}
n := 0
for _, l := range after {
if remaining[l] > 0 {
remaining[l]--
continue
}
n++
}
return n
}
It("adds a variants block right after the entry's name and touches nothing else", func() {
ix := indexOf(
entryYAML("foo-model", "acme/repo", "foo-model-Q4_K_M.gguf", "aa"),
entryYAML("foo-model-q8_0", "acme/repo", "foo-model-Q8_0.gguf", "bb"),
)
out := apply(ix, []Family{{Parent: "foo-model", Proposals: []Proposal{{Variant: "foo-model-q8_0"}}}})
Expect(out[0]).To(Equal("- name: foo-model"))
Expect(out[1]).To(Equal(" variants:"))
Expect(out[2]).To(Equal(" - model: foo-model-q8_0"))
Expect(len(out)).To(Equal(len(ix.Lines) + 2))
Expect(insertedLines(ix.Lines, out)).To(Equal(2))
})
It("appends to a variants block that already exists", func() {
ix := indexOf(`- name: partial
variants:
- model: partial-q8_0
url: u
overrides:
parameters:
model: partial-Q4_K_M.gguf
`, entryYAML("partial-f16", "acme/repo", "partial-f16.gguf", "cc"))
out := apply(ix, []Family{{Parent: "partial", Proposals: []Proposal{{Variant: "partial-f16"}}}})
Expect(out[1]).To(Equal(" variants:"))
Expect(out[2]).To(Equal(" - model: partial-q8_0"))
Expect(out[3]).To(Equal(" - model: partial-f16"))
Expect(out[4]).To(Equal(" url: u"))
})
It("replaces an explicit empty list rather than leaving two variants keys", func() {
ix := indexOf(`- name: emptied
variants: []
url: u
`, entryYAML("emptied-q8_0", "acme/repo", "emptied-Q8_0.gguf", "cc"))
out := apply(ix, []Family{{Parent: "emptied", Proposals: []Proposal{{Variant: "emptied-q8_0"}}}})
Expect(strings.Join(out[:4], "\n")).To(Equal("- name: emptied\n variants:\n - model: emptied-q8_0\n url: u"))
Expect(strings.Count(strings.Join(out, "\n"), "variants:")).To(Equal(1))
})
It("quotes a config-suffixed name so the reference stays a string", func() {
ix := indexOf(
entryYAML("phi-2-chat", "acme/repo", "phi-2-chat-Q4_K_M.gguf", "aa"),
entryYAML("phi-2-chat:Q8_0", "acme/repo", "phi-2-chat-Q8_0.gguf", "bb"),
)
out := apply(ix, []Family{{Parent: "phi-2-chat", Proposals: []Proposal{{Variant: "phi-2-chat:Q8_0"}}}})
Expect(out[2]).To(Equal(` - model: "phi-2-chat:Q8_0"`))
// The result has to still be a gallery, and the reference has to
// resolve to the entry it names.
reparsed, err := ParseIndex(strings.Join(out, "\n"))
Expect(err).ToNot(HaveOccurred())
Expect(reparsed.Entries[0].Variants).To(ConsistOf(VariantRef{Model: "phi-2-chat:Q8_0"}))
})
It("keeps line numbers correct when several entries are edited at once", func() {
ix := indexOf(
entryYAML("alpha", "acme/repo", "alpha-Q4_K_M.gguf", "aa"),
entryYAML("alpha-q8_0", "acme/repo", "alpha-Q8_0.gguf", "bb"),
entryYAML("beta", "acme/repo", "beta-Q4_K_M.gguf", "cc"),
entryYAML("beta-q8_0", "acme/repo", "beta-Q8_0.gguf", "dd"),
)
out := apply(ix, []Family{
{Parent: "alpha", Proposals: []Proposal{{Variant: "alpha-q8_0"}}},
{Parent: "beta", Proposals: []Proposal{{Variant: "beta-q8_0"}}},
})
reparsed, err := ParseIndex(strings.Join(out, "\n"))
Expect(err).ToNot(HaveOccurred())
Expect(reparsed.Entries).To(HaveLen(4))
Expect(reparsed.Entries[0].Variants).To(ConsistOf(VariantRef{Model: "alpha-q8_0"}))
Expect(reparsed.Entries[2].Variants).To(ConsistOf(VariantRef{Model: "beta-q8_0"}))
Expect(reparsed.Entries[1].Variants).To(BeEmpty())
Expect(reparsed.Entries[3].Variants).To(BeEmpty())
})
It("fails loudly rather than editing an entry it cannot find", func() {
ix := indexOf(entryYAML("only", "acme/repo", "only-Q4_K_M.gguf", "aa"))
_, err := ApplyFamilies(ix, []Family{{Parent: "missing", Proposals: []Proposal{{Variant: "x"}}}})
Expect(err).To(MatchError(ContainSubstring("not in the index")))
})
})
var _ = Describe("ParseIndex", func() {
It("records the anchor an entry defines and the anchor an entry merges", func() {
ix := indexOf(`- &anc
name: anchored
url: u
`, `- !!merge <<: *anc
name: child
`)
Expect(ix.Entries[0].AnchorName).To(Equal("anc"))
Expect(ix.Entries[1].MergesFrom).To(Equal("anc"))
Expect(ix.MergeChildren("anc")).To(HaveLen(1))
})
It("carries merged values into the child, so an inherited variants key is visible", func() {
ix := indexOf(`- &anc
name: anchored
url: u
variants:
- model: something
`, `- !!merge <<: *anc
name: child
`)
Expect(ix.Entries[1].HasVariants()).To(BeTrue())
})
It("refuses a list item that decodes to nothing", func() {
// Every line number the editor works from comes from pairing decoded
// entries with top level list items. If those two views can disagree,
// the editor writes into the wrong entry, so the parse refuses instead.
_, err := ParseIndex("- name: one\n url: u\n-\n")
Expect(err).To(MatchError(ContainSubstring("empty")))
})
})

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package main
import (
"fmt"
"os"
"regexp"
"sort"
"strings"
"gopkg.in/yaml.v3"
"github.com/mudler/LocalAI/.github/ci/galleryedit"
)
// File is the subset of a gallery file entry the proposer reads.
type File struct {
Filename string `yaml:"filename"`
URI string `yaml:"uri"`
SHA256 string `yaml:"sha256"`
}
// VariantRef mirrors the gallery's variant reference.
type VariantRef struct {
Model string `yaml:"model"`
}
// GalleryEntry is one gallery entry, carrying both the semantics the heuristics need
// and the text range the editor needs.
//
// The two views are kept together deliberately. The editor must not round-trip
// the index through a YAML marshaller: the gallery is 40,000 lines and a
// reflowed diff cannot be reviewed, which defeats the entire point of a job
// whose output is a human decision.
type GalleryEntry struct {
Name string `yaml:"name"`
URL string `yaml:"url"`
ConfigFile map[string]any `yaml:"config_file"`
Overrides map[string]any `yaml:"overrides"`
Files []File `yaml:"files"`
Variants []VariantRef `yaml:"variants"`
// Index is the entry's position in gallery order.
Index int `yaml:"-"`
// StartLine and EndLine bound the entry's lines, zero based and half open.
StartLine int `yaml:"-"`
EndLine int `yaml:"-"`
// AnchorName is set when the entry defines a YAML anchor. Adding a variants
// key to such an entry is inherited by everything that merges it, which is
// why proposals involving anchors get special treatment.
AnchorName string `yaml:"-"`
// MergesFrom is the anchor this entry pulls in with "!!merge <<:".
MergesFrom string `yaml:"-"`
}
// Index is a parsed gallery index: entries plus the exact lines they came from.
type Index struct {
Lines []string
Entries []*GalleryEntry
}
var (
anchorStart = regexp.MustCompile(`^- &(\S+)`)
mergeStart = regexp.MustCompile(`^- !!merge <<: \*(\S+)`)
)
// LoadIndex reads and parses a gallery index file.
func LoadIndex(path string) (*Index, error) {
data, err := os.ReadFile(path)
if err != nil {
return nil, err
}
return ParseIndex(string(data))
}
// ParseIndex builds an Index from the raw text of a gallery index.
//
// The YAML decode and the textual scan are cross checked against each other: if
// they disagree on how many entries there are, every line number the editor
// would use is suspect, so the run fails rather than editing the wrong entry.
func ParseIndex(text string) (*Index, error) {
var entries []*GalleryEntry
if err := yaml.Unmarshal([]byte(text), &entries); err != nil {
return nil, fmt.Errorf("decoding gallery index: %w", err)
}
lines, starts := galleryedit.Scan(text)
if len(starts) != len(entries) {
return nil, fmt.Errorf("gallery index has %d decoded entries but %d top level list items; refusing to edit by line number", len(entries), len(starts))
}
for i, e := range entries {
if e == nil {
return nil, fmt.Errorf("gallery index list item %d is empty; refusing to edit by line number", i)
}
e.Index = i
e.StartLine = starts[i]
if i+1 < len(starts) {
e.EndLine = starts[i+1]
} else {
e.EndLine = len(lines)
}
if m := anchorStart.FindStringSubmatch(lines[e.StartLine]); m != nil {
e.AnchorName = m[1]
}
if m := mergeStart.FindStringSubmatch(lines[e.StartLine]); m != nil {
e.MergesFrom = m[1]
}
}
return &Index{Lines: lines, Entries: entries}, nil
}
// MergeChildren lists the entries that pull in the given anchor.
func (ix *Index) MergeChildren(anchor string) []*GalleryEntry {
var out []*GalleryEntry
for _, e := range ix.Entries {
if e.MergesFrom == anchor {
out = append(out, e)
}
}
return out
}
// ByName indexes entries by lowercased name. A name appearing twice keeps the
// first occurrence, matching the gallery's own first-match-wins resolution, and
// the duplicates are returned so the caller can refuse to touch them: a
// proposal naming an ambiguous entry cannot be reviewed.
func (ix *Index) ByName() (map[string]*GalleryEntry, map[string]int) {
byName := make(map[string]*GalleryEntry, len(ix.Entries))
counts := make(map[string]int, len(ix.Entries))
for _, e := range ix.Entries {
key := strings.ToLower(e.Name)
counts[key]++
if _, seen := byName[key]; !seen {
byName[key] = e
}
}
dupes := map[string]int{}
for name, n := range counts {
if n > 1 {
dupes[name] = n
}
}
return byName, dupes
}
// Installable reports whether installing this entry would put anything on disk.
// A variant target that installs nothing is a dead end for the selector, so it
// is never proposed as one.
func (e *GalleryEntry) Installable() bool {
return e.URL != "" || len(e.ConfigFile) > 0 || len(e.Overrides) > 0 || len(e.Files) > 0
}
// HasVariants reports whether the entry already offers builds of its own. Such
// an entry cannot be a variant target: nesting is what the gallery's own
// resolution refuses.
func (e *GalleryEntry) HasVariants() bool {
return len(e.Variants) > 0
}
// auxiliaryFile matches the shared side files that several unrelated models
// legitimately hand out the same copy of. Grouping on one of these is how an
// earlier sweep linked four wan-2.1 entries to each other and Z-Image-Turbo to
// qwen3-4b: they shared a text encoder, not weights.
var auxiliaryFile = regexp.MustCompile(`(?i)(mmproj|vae|clip|t5|umt5|text_?encoder|tokenizer|\bae\b|^ae\.|scheduler|config)`)
// IsAuxiliaryFile reports whether a filename is a side file rather than the
// model's own weights.
func IsAuxiliaryFile(filename string) bool {
base := filename
if i := strings.LastIndex(base, "/"); i >= 0 {
base = base[i+1:]
}
return auxiliaryFile.MatchString(base)
}
// PrimaryWeightFile returns the filename of the entry's own weights, and
// whether one could be identified unambiguously.
//
// The declared overrides.parameters.model wins because that is the file the
// backend is actually pointed at. Falling back to the file list only works when
// exactly one non-auxiliary file is present; anything else is ambiguous, and
// guessing is precisely the failure mode this heuristic has already had.
func (e *GalleryEntry) PrimaryWeightFile() (string, bool) {
if params, ok := e.Overrides["parameters"].(map[string]any); ok {
if model, ok := params["model"].(string); ok && model != "" && !IsAuxiliaryFile(model) {
return model, true
}
}
var candidates []string
for _, f := range e.Files {
if f.Filename == "" || IsAuxiliaryFile(f.Filename) {
continue
}
candidates = append(candidates, f.Filename)
}
if len(candidates) == 1 {
return candidates[0], true
}
return "", false
}
// SourceRepo returns the upstream repository the entry's files come from, as a
// coarse "host + owner + repo" key.
func (e *GalleryEntry) SourceRepo() string {
for _, f := range e.Files {
if f.URI == "" {
continue
}
return repoKey(f.URI)
}
return ""
}
func repoKey(uri string) string {
u := strings.ToLower(uri)
u = strings.TrimPrefix(u, "huggingface://")
u = strings.TrimPrefix(u, "https://huggingface.co/")
u = strings.TrimPrefix(u, "http://huggingface.co/")
parts := strings.Split(u, "/")
if len(parts) >= 2 {
return parts[0] + "/" + parts[1]
}
return u
}
// SameInstallPayload reports whether two entries install byte for byte the same
// thing.
//
// Entries like this are aliases, not variants. whisper-1 exists so a client
// speaking the OpenAI API can send that name and get whisper-base; folding it
// under whisper-base as a variant would hide the very name clients send.
func SameInstallPayload(a, b *GalleryEntry) bool {
if a.URL != b.URL {
return false
}
if !sameYAML(a.Overrides, b.Overrides) || !sameYAML(a.ConfigFile, b.ConfigFile) {
return false
}
return sameChecksums(a.Files, b.Files)
}
func sameChecksums(a, b []File) bool {
if len(a) != len(b) || len(a) == 0 {
return false
}
ha := make([]string, 0, len(a))
hb := make([]string, 0, len(b))
for _, f := range a {
if f.SHA256 == "" {
return false
}
ha = append(ha, f.SHA256)
}
for _, f := range b {
if f.SHA256 == "" {
return false
}
hb = append(hb, f.SHA256)
}
sort.Strings(ha)
sort.Strings(hb)
for i := range ha {
if ha[i] != hb[i] {
return false
}
}
return true
}
func sameYAML(a, b any) bool {
ba, err := yaml.Marshal(a)
if err != nil {
return false
}
bb, err := yaml.Marshal(b)
if err != nil {
return false
}
return string(ba) == string(bb)
}

180
.github/ci/variantproposals/ledger.go vendored Normal file
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package main
import (
"fmt"
"os"
"sort"
"strings"
"gopkg.in/yaml.v3"
)
// Ledger records the grouping decisions a human has already made against the
// proposer, so a declined candidate stays declined instead of coming back every
// night until reviewers stop reading the job's pull requests.
//
// It is checked in next to the gallery and is meant to be edited inside the
// proposal pull request itself: declining a family is adding one flow-mapping
// line under pairs or groups and closing the PR.
type Ledger struct {
// Tokens are name segments that mark a distinct model rather than another
// build of the same one: finetune names, language codes, product suffixes.
// A candidate whose two names differ by any of these is never proposed.
Tokens []LedgerToken `yaml:"tokens"`
// Pairs are individual candidates a human considered and declined. Order
// does not matter: the pair is matched both ways round.
Pairs []LedgerPair `yaml:"pairs"`
// Groups decline every pair drawn from a set at once, for families like a
// per-language release where listing each pair would be unreadable.
Groups []LedgerGroup `yaml:"groups"`
}
type LedgerToken struct {
Token string `yaml:"token"`
Reason string `yaml:"reason"`
}
type LedgerPair struct {
Parent string `yaml:"parent"`
Variant string `yaml:"variant"`
Reason string `yaml:"reason"`
}
type LedgerGroup struct {
Members []string `yaml:"members"`
Reason string `yaml:"reason"`
}
// LoadLedger reads a ledger file. A missing file is not an error: a gallery
// that has declined nothing yet is a legitimate state, and failing the job over
// it would only teach people to keep an empty file around.
func LoadLedger(path string) (*Ledger, error) {
data, err := os.ReadFile(path)
if os.IsNotExist(err) {
return &Ledger{}, nil
}
if err != nil {
return nil, err
}
return ParseLedger(data)
}
func ParseLedger(data []byte) (*Ledger, error) {
l := &Ledger{}
if err := yaml.Unmarshal(data, l); err != nil {
return nil, fmt.Errorf("parsing ledger: %w", err)
}
for i, t := range l.Tokens {
if strings.TrimSpace(t.Token) == "" {
return nil, fmt.Errorf("ledger tokens[%d] has an empty token", i)
}
}
for i, p := range l.Pairs {
if strings.TrimSpace(p.Parent) == "" || strings.TrimSpace(p.Variant) == "" {
return nil, fmt.Errorf("ledger pairs[%d] needs both parent and variant", i)
}
}
return l, nil
}
// Suppression is a ledger hit: why a candidate was not proposed, in words a
// reviewer can check against the ledger file.
type Suppression struct {
A string
B string
Reason string
}
func (s Suppression) String() string {
return fmt.Sprintf("%s + %s: %s", s.A, s.B, s.Reason)
}
// Suppresses reports whether the ledger has already declined pairing these two
// entries, and why.
//
// The token rule is applied to the segments the two names do not share. Two
// builds of the same weights differ only in quantization markers, so any
// ledgered token showing up in that difference is by construction a claim that
// the entries are different models.
func (l *Ledger) Suppresses(a, b string) (Suppression, bool) {
la, lb := strings.ToLower(a), strings.ToLower(b)
for _, p := range l.Pairs {
lp, lv := strings.ToLower(p.Parent), strings.ToLower(p.Variant)
if (lp == la && lv == lb) || (lp == lb && lv == la) {
return Suppression{A: a, B: b, Reason: p.Reason}, true
}
}
for _, g := range l.Groups {
var seenA, seenB bool
for _, m := range g.Members {
lm := strings.ToLower(m)
if lm == la {
seenA = true
}
if lm == lb {
seenB = true
}
}
if seenA && seenB {
return Suppression{A: a, B: b, Reason: g.Reason}, true
}
}
diff := differingSegments(la, lb)
for _, t := range l.Tokens {
token := strings.ToLower(strings.TrimSpace(t.Token))
if _, ok := diff[token]; ok {
reason := t.Reason
if reason == "" {
reason = fmt.Sprintf("names differ by %q", token)
}
return Suppression{A: a, B: b, Reason: fmt.Sprintf("%s (token %q)", reason, token)}, true
}
}
return Suppression{}, false
}
// segments splits a name into the atoms the token rules are written against.
func segments(name string) []string {
fields := strings.FieldsFunc(strings.ToLower(name), func(r rune) bool {
return r == '-' || r == '_' || r == '.' || r == ':' || r == '/'
})
return fields
}
// differingSegments returns the set of segments present in exactly one of the
// two names.
func differingSegments(a, b string) map[string]struct{} {
setA := map[string]int{}
for _, s := range segments(a) {
setA[s]++
}
setB := map[string]int{}
for _, s := range segments(b) {
setB[s]++
}
diff := map[string]struct{}{}
for s := range setA {
if setB[s] == 0 {
diff[s] = struct{}{}
}
}
for s := range setB {
if setA[s] == 0 {
diff[s] = struct{}{}
}
}
return diff
}
// SortedSuppressions gives the ledger's effect on one run in a stable order, so
// the pull request body reads the same way for the same gallery.
func SortedSuppressions(in []Suppression) []Suppression {
out := append([]Suppression(nil), in...)
sort.Slice(out, func(i, j int) bool {
if out[i].A != out[j].A {
return out[i].A < out[j].A
}
return out[i].B < out[j].B
})
return out
}

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// Command variant-proposals looks for gallery entries that are alternative
// builds of the same weights but are not grouped under one another, and writes
// a proposal for a human to accept or reject.
//
// It never decides. Grouping has gone wrong repeatedly in both directions, so
// the job's value is catching drift and surfacing candidates with their
// evidence, not automating the call. The scheduled workflow feeds its output to
// a pull request in the same shape as .github/checksum_checker.sh.
package main
import (
"flag"
"fmt"
"os"
"strings"
)
func main() {
index := flag.String("index", "gallery/index.yaml", "path to the gallery index")
ledger := flag.String("ledger", "gallery/variant-exclusions.yaml", "path to the rejection ledger")
bodyOut := flag.String("body-out", "", "write the pull request body here")
apply := flag.Bool("apply", false, "write the proposed groupings back into the index")
flag.Parse()
if err := run(*index, *ledger, *bodyOut, *apply); err != nil {
fmt.Fprintln(os.Stderr, "variant-proposals:", err)
os.Exit(1)
}
}
func run(indexPath, ledgerPath, bodyOut string, apply bool) error {
ix, err := LoadIndex(indexPath)
if err != nil {
return err
}
ledger, err := LoadLedger(ledgerPath)
if err != nil {
return err
}
result := Propose(ix, ledger)
fmt.Print(RenderSummary(result))
if !result.HasProposals() {
// An empty pull request every night is how a proposal job gets muted.
fmt.Println("nothing to propose")
return nil
}
if bodyOut != "" {
if err := os.WriteFile(bodyOut, []byte(RenderBody(result, ledgerPath)), 0o644); err != nil {
return err
}
}
if !apply {
return nil
}
lines, err := ApplyFamilies(ix, result.Families)
if err != nil {
return err
}
return os.WriteFile(indexPath, []byte(strings.Join(lines, "\n")), 0o644)
}

615
.github/ci/variantproposals/propose.go vendored Normal file
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package main
import (
"fmt"
"regexp"
"sort"
"strings"
)
// Signal names the grouping heuristic that linked two entries.
type Signal string
const (
// SignalName is "same name once quantization markers are stripped".
SignalName Signal = "name-modulo-quant"
// SignalConfigSuffix is the ":" convention, foo:q8_0 as a build of foo.
SignalConfigSuffix Signal = "config-suffix"
// SignalWeightFile is "same primary weight filename once quantization
// markers are stripped", auxiliary files excluded.
SignalWeightFile Signal = "weight-filename"
)
// Evidence is what a reviewer needs in order to agree or disagree without
// opening HuggingFace: what the two entries share, and what differs.
type Evidence struct {
Signals []Signal
SharedStem string
SharedFile string
SharedRepo string
QuantTokens []string
}
// Proposal is one variant target offered to one parent.
type Proposal struct {
Variant string
Evidence Evidence
}
// Family is a complete proposal: one parent gaining one or more variants.
type Family struct {
Parent string
Proposals []Proposal
}
// Refusal is a family the heuristics found but the rules would not let through.
// Refusals are reported rather than dropped: a candidate the job keeps refusing
// is either a rule worth revisiting or a gallery bug worth fixing.
type Refusal struct {
Members []string
Reason string
}
// Result is one run of the proposer.
type Result struct {
Families []Family
Refusals []Refusal
Suppressed []Suppression
AliasSkipped []Suppression
}
// HasProposals reports whether the run found anything to open a pull request
// about. A job that opens an empty pull request every night is a job people
// filter out of their inbox.
func (r *Result) HasProposals() bool {
return len(r.Families) > 0
}
// sizeToken matches a parameter-count marker: 8b, 1.7b, a3b for an active
// expert count, e2b for the Gemma effective sizes, 8x7b for a mixture.
//
// This is a structural rule rather than a ledger entry because it is about the
// shape of the token, not about any one model. Different parameter sizes were
// mis-grouped by an earlier sweep and the failure is systematic.
var sizeToken = regexp.MustCompile(`^(?:[0-9]+(?:\.[0-9]+)?[bm]|[ae][0-9]+(?:\.[0-9]+)?b|[0-9]+x[0-9]+(?:\.[0-9]+)?b)$`)
func differsByParameterSize(a, b string) (string, bool) {
for seg := range differingSegments(a, b) {
if sizeToken.MatchString(seg) {
return seg, true
}
}
return "", false
}
// genericFileStem lists weight filenames too generic to be evidence of
// anything. Two entries both shipping "model.safetensors" share a convention,
// not a set of weights.
var genericFileStem = map[string]struct{}{
"model": {}, "weights": {}, "pytorch_model": {}, "diffusion_pytorch_model": {},
"consolidated": {}, "ggml-model": {}, "model-00001-of-00002": {},
}
// minFileStemLength keeps short, collision-prone filename stems from linking
// unrelated entries.
const minFileStemLength = 6
type pair struct {
a, b int
evidence Evidence
}
// Propose runs the grouping heuristics over a gallery index and returns what it
// would offer a human, what it refused, and what the ledger silenced.
//
// Nothing here touches the network or git, and the index is not modified.
func Propose(ix *Index, ledger *Ledger) *Result {
if ledger == nil {
ledger = &Ledger{}
}
result := &Result{}
byName, dupes := ix.ByName()
// Existing relationships. A target already claimed must not be claimed
// again, and two entries already in one family need no proposal.
claimedBy := map[string]string{}
familyOf := map[string]string{}
for _, e := range ix.Entries {
if !e.HasVariants() {
continue
}
familyOf[strings.ToLower(e.Name)] = strings.ToLower(e.Name)
for _, v := range e.Variants {
target := strings.ToLower(v.Model)
if _, taken := claimedBy[target]; !taken {
claimedBy[target] = strings.ToLower(e.Name)
}
familyOf[target] = strings.ToLower(e.Name)
}
}
candidates := map[[2]int]*Evidence{}
addPair := func(i, j int, sig Signal, apply func(*Evidence)) {
if i == j {
return
}
if i > j {
i, j = j, i
}
key := [2]int{i, j}
ev, ok := candidates[key]
if !ok {
ev = &Evidence{}
candidates[key] = ev
}
for _, s := range ev.Signals {
if s == sig {
apply(ev)
return
}
}
ev.Signals = append(ev.Signals, sig)
apply(ev)
}
// Signal 1 and 2: entries sharing a name stem.
byStem := map[string][]int{}
for _, e := range ix.Entries {
if e.Name == "" {
continue
}
byStem[NameStem(e.Name)] = append(byStem[NameStem(e.Name)], e.Index)
}
for stem, members := range byStem {
if len(members) < 2 {
continue
}
for i := 0; i < len(members); i++ {
for j := i + 1; j < len(members); j++ {
a, b := ix.Entries[members[i]], ix.Entries[members[j]]
sig := SignalName
if HasConfigSuffix(a.Name) || HasConfigSuffix(b.Name) {
sig = SignalConfigSuffix
}
// The bare parent carries no marker in its name, so the
// evidence would read "differs by q8_0" and say nothing about
// what the parent is. The weight filenames fill that in.
fa, _ := a.PrimaryWeightFile()
fb, _ := b.PrimaryWeightFile()
addPair(members[i], members[j], sig, func(ev *Evidence) {
ev.SharedStem = stem
ev.QuantTokens = quantDifference(a.Name, b.Name, fa, fb)
})
}
}
}
// Signal 3: entries whose own weight file is the same file at a different
// quantization. Auxiliary files never take part.
byFile := map[string][]int{}
for _, e := range ix.Entries {
primary, ok := e.PrimaryWeightFile()
if !ok {
continue
}
stem := FileStem(primary)
if len(stem) < minFileStemLength {
continue
}
if _, generic := genericFileStem[stem]; generic {
continue
}
byFile[stem] = append(byFile[stem], e.Index)
}
for stem, members := range byFile {
if len(members) < 2 {
continue
}
for i := 0; i < len(members); i++ {
for j := i + 1; j < len(members); j++ {
a, b := ix.Entries[members[i]], ix.Entries[members[j]]
// The filename alone is not evidence. Publishers reuse the
// upstream filename for finetunes and for models that merely
// embed the base weights: bert-embeddings, an ultravox audio
// model and a roleplay finetune all ship a file called
// llama-3.2-1b-instruct-q4_k_m.gguf. Requiring the same
// upstream repository turns the signal back into what it
// claims to be, one repo publishing one file at two
// quantizations. Two repos holding the same weights is a fact
// no filename proves, so it stays a human call.
repo := a.SourceRepo()
if repo == "" || repo != b.SourceRepo() {
continue
}
fa, _ := a.PrimaryWeightFile()
fb, _ := b.PrimaryWeightFile()
addPair(members[i], members[j], SignalWeightFile, func(ev *Evidence) {
ev.SharedFile = stem
ev.SharedRepo = repo
if len(ev.QuantTokens) == 0 {
ev.QuantTokens = quantDifference(fa, fb)
}
})
}
}
}
// Filter candidates. Everything dropped here is dropped for a reason a
// reviewer can read back off the ledger or the rules.
var kept []pair
for key, ev := range candidates {
a, b := ix.Entries[key[0]], ix.Entries[key[1]]
la, lb := strings.ToLower(a.Name), strings.ToLower(b.Name)
if la == lb {
continue
}
if dupes[la] > 0 || dupes[lb] > 0 {
result.Refusals = append(result.Refusals, Refusal{
Members: []string{a.Name, b.Name},
Reason: "one of these names appears more than once in the gallery, so a variant reference to it is ambiguous",
})
continue
}
if fa, fb := familyOf[la], familyOf[lb]; fa != "" && fa == fb {
continue
}
if seg, differs := differsByParameterSize(la, lb); differs {
result.Suppressed = append(result.Suppressed, Suppression{
A: a.Name, B: b.Name, Reason: fmt.Sprintf("different parameter sizes (segment %q)", seg),
})
continue
}
if s, ok := ledger.Suppresses(a.Name, b.Name); ok {
result.Suppressed = append(result.Suppressed, s)
continue
}
if SameInstallPayload(a, b) {
result.AliasSkipped = append(result.AliasSkipped, Suppression{
A: a.Name, B: b.Name,
Reason: "identical install payload; these are aliases of one build, not alternative builds",
})
continue
}
kept = append(kept, pair{a: key[0], b: key[1], evidence: *ev})
}
sort.Slice(kept, func(i, j int) bool {
if kept[i].a != kept[j].a {
return kept[i].a < kept[j].a
}
return kept[i].b < kept[j].b
})
// Components. A pair from either signal joins the same family, so a chain
// of alternative builds discovered by different signals stays one family
// rather than two overlapping ones that would double claim a target.
parent := map[int]int{}
var find func(int) int
find = func(x int) int {
if p, ok := parent[x]; ok && p != x {
parent[x] = find(p)
return parent[x]
}
if _, ok := parent[x]; !ok {
parent[x] = x
}
return parent[x]
}
union := func(x, y int) {
rx, ry := find(x), find(y)
if rx != ry {
parent[ry] = rx
}
}
evidenceFor := map[[2]int]Evidence{}
for _, p := range kept {
union(p.a, p.b)
evidenceFor[[2]int{p.a, p.b}] = p.evidence
}
components := map[int][]int{}
for _, p := range kept {
for _, m := range []int{p.a, p.b} {
root := find(m)
if !contains(components[root], m) {
components[root] = append(components[root], m)
}
}
}
roots := make([]int, 0, len(components))
for r := range components {
roots = append(roots, r)
}
sort.Ints(roots)
proposedTargets := map[string]string{}
for _, root := range roots {
members := components[root]
sort.Ints(members)
family, refusal := buildFamily(ix, members, evidenceFor, claimedBy, proposedTargets, byName)
if refusal != nil {
result.Refusals = append(result.Refusals, *refusal)
continue
}
if family == nil {
continue
}
for _, p := range family.Proposals {
proposedTargets[strings.ToLower(p.Variant)] = family.Parent
}
result.Families = append(result.Families, *family)
}
sort.Slice(result.Families, func(i, j int) bool { return result.Families[i].Parent < result.Families[j].Parent })
result.Suppressed = SortedSuppressions(result.Suppressed)
result.AliasSkipped = SortedSuppressions(result.AliasSkipped)
result.Refusals = dedupeRefusals(result.Refusals)
return result
}
// dedupeRefusals collapses the same refusal reached from both orderings of a
// pair, and sorts what is left. A reviewer reading the same complaint twice
// learns to skim the section.
func dedupeRefusals(in []Refusal) []Refusal {
seen := map[string]struct{}{}
var out []Refusal
for _, r := range in {
members := append([]string(nil), r.Members...)
sort.Strings(members)
key := strings.Join(members, "\x00") + "\x00" + r.Reason
if _, dup := seen[key]; dup {
continue
}
seen[key] = struct{}{}
out = append(out, r)
}
sort.Slice(out, func(i, j int) bool {
if a, b := strings.Join(out[i].Members, ","), strings.Join(out[j].Members, ","); a != b {
return a < b
}
return out[i].Reason < out[j].Reason
})
return out
}
func contains(xs []int, x int) bool {
for _, v := range xs {
if v == x {
return true
}
}
return false
}
// buildFamily turns a connected component into a proposal, or refuses it.
func buildFamily(ix *Index, members []int, evidenceFor map[[2]int]Evidence, claimedBy map[string]string, proposedTargets map[string]string, byName map[string]*GalleryEntry) (*Family, *Refusal) {
names := make([]string, 0, len(members))
for _, m := range members {
names = append(names, ix.Entries[m].Name)
}
parentIdx, err := selectParent(ix, members)
if err != nil {
return nil, &Refusal{Members: names, Reason: err.Error()}
}
parentEntry := ix.Entries[parentIdx]
parentName := strings.ToLower(parentEntry.Name)
// A parent that is itself somebody's variant would create a chain, which
// the gallery's own resolution refuses to install.
if owner, claimed := claimedBy[parentName]; claimed {
return nil, &Refusal{Members: names, Reason: fmt.Sprintf("the natural parent %q is already a variant of %q; proposing it as a parent would nest variants", parentEntry.Name, owner)}
}
if owner, claimed := proposedTargets[parentName]; claimed {
return nil, &Refusal{Members: names, Reason: fmt.Sprintf("the natural parent %q is already proposed as a variant of %q; proposing it as a parent would nest variants", parentEntry.Name, owner)}
}
// Adding a variants key to an anchor is inherited by every entry that
// merges it, silently grouping models nobody proposed. Handling that means
// editing each merging child too, which is a larger change than this job
// should make unsupervised, so it refuses and hands the reviewer the list.
if parentEntry.AnchorName != "" {
children := ix.MergeChildren(parentEntry.AnchorName)
if len(children) > 0 {
childNames := make([]string, 0, len(children))
for _, c := range children {
childNames = append(childNames, c.Name)
}
return nil, &Refusal{
Members: names,
Reason: fmt.Sprintf("the parent %q defines YAML anchor &%s, and a variants key added there is inherited by the %d entries that merge it (%s). Grouping this family by hand also means adding an explicit `variants: []` to each of those entries",
parentEntry.Name, parentEntry.AnchorName, len(children), strings.Join(childNames, ", ")),
}
}
}
existing := map[string]struct{}{}
for _, v := range parentEntry.Variants {
existing[strings.ToLower(v.Model)] = struct{}{}
}
family := &Family{Parent: parentEntry.Name}
for _, m := range members {
if m == parentIdx {
continue
}
target := ix.Entries[m]
lower := strings.ToLower(target.Name)
if _, already := existing[lower]; already {
continue
}
if target.HasVariants() {
return nil, &Refusal{Members: names, Reason: fmt.Sprintf("%q already offers variants of its own, so it cannot itself be a variant target", target.Name)}
}
if !target.Installable() {
return nil, &Refusal{Members: names, Reason: fmt.Sprintf("%q has no url, config_file, overrides or files, so it is not independently installable", target.Name)}
}
if owner, claimed := claimedBy[lower]; claimed && owner != parentName {
return nil, &Refusal{Members: names, Reason: fmt.Sprintf("%q is already a variant of %q; a target claimed by two parents is not something the gallery resolves predictably", target.Name, owner)}
}
if owner, claimed := proposedTargets[lower]; claimed && owner != parentEntry.Name {
return nil, &Refusal{Members: names, Reason: fmt.Sprintf("%q is already proposed as a variant of %q in this same run", target.Name, owner)}
}
family.Proposals = append(family.Proposals, Proposal{
Variant: target.Name,
Evidence: lookupEvidence(evidenceFor, parentIdx, m),
})
}
if len(family.Proposals) == 0 {
return nil, nil
}
sort.Slice(family.Proposals, func(i, j int) bool { return family.Proposals[i].Variant < family.Proposals[j].Variant })
return family, nil
}
func lookupEvidence(evidenceFor map[[2]int]Evidence, a, b int) Evidence {
if a > b {
a, b = b, a
}
if ev, ok := evidenceFor[[2]int{a, b}]; ok {
return ev
}
// The two entries reached the same family through a third one. Say so
// rather than inventing evidence that was never observed for this pair.
return Evidence{Signals: []Signal{SignalName}}
}
// selectParent picks the entry the others should hang off.
//
// The bare name wins when there is one: it is the name a user types and the one
// documentation links to. Otherwise the smallest build wins, judged by the
// quantization token in the entry's own weight filename, so the default install
// is the one most hosts can actually run.
func selectParent(ix *Index, members []int) (int, error) {
// The family's own stem: the one the most members reduce to, shortest name
// breaking a tie. An entry named exactly that is the bare entry.
stemCount := map[string]int{}
for _, m := range members {
stemCount[NameStem(ix.Entries[m].Name)]++
}
// Only a stem two or more members reduce to is the family's own stem. A
// stem reached by exactly one member is just that member's name, and
// treating it as the family stem would crown whichever name happens to be
// shortest rather than whichever build is the base one.
familyStem := ""
for stem, n := range stemCount {
if n < 2 {
continue
}
if familyStem == "" || n > stemCount[familyStem] ||
(n == stemCount[familyStem] && len(stem) < len(familyStem)) ||
(n == stemCount[familyStem] && len(stem) == len(familyStem) && stem < familyStem) {
familyStem = stem
}
}
var bare []int
for _, m := range members {
e := ix.Entries[m]
if HasConfigSuffix(e.Name) {
continue
}
if strings.ToLower(e.Name) == familyStem {
bare = append(bare, m)
}
}
if len(bare) == 1 {
return bare[0], nil
}
if len(bare) > 1 {
names := make([]string, 0, len(bare))
for _, m := range bare {
names = append(names, ix.Entries[m].Name)
}
return 0, fmt.Errorf("more than one entry is named exactly %q (%s), so which one is the base build is a judgement this job will not make", familyStem, strings.Join(names, ", "))
}
// No shared stem to be named after. An entry whose name every other member
// extends is still recognisably the base one, and this is the only handle
// left for families whose weights carry no readable quantization token at
// all, such as the ONNX builds.
if prefix, ok := uniquePrefixMember(ix, members); ok {
return prefix, nil
}
best := -1
bestWidth := 1 << 20
for _, m := range members {
e := ix.Entries[m]
width := unknownWidth
if primary, ok := e.PrimaryWeightFile(); ok {
width = BuildWidth(primary)
}
// Members are visited in gallery order, so a strict comparison leaves
// the earliest entry holding a tie and the choice is deterministic.
if width < bestWidth {
best, bestWidth = m, width
}
}
if best < 0 {
return 0, fmt.Errorf("no member could be identified as the smallest build")
}
if bestWidth == unknownWidth {
names := make([]string, 0, len(members))
for _, m := range members {
names = append(names, ix.Entries[m].Name)
}
return 0, fmt.Errorf("no member declares a weight file whose quantization can be read (%s), so the smallest build cannot be identified", strings.Join(names, ", "))
}
return best, nil
}
// uniquePrefixMember reports the single member whose name every other member's
// name starts with, if there is exactly one.
func uniquePrefixMember(ix *Index, members []int) (int, bool) {
found := -1
for _, m := range members {
name := strings.ToLower(ix.Entries[m].Name)
isPrefix := true
for _, other := range members {
if other == m {
continue
}
if !strings.HasPrefix(strings.ToLower(ix.Entries[other].Name), name) {
isPrefix = false
break
}
}
if !isPrefix {
continue
}
if found >= 0 {
return 0, false
}
found = m
}
return found, found >= 0
}
// quantDifference lists the quantization tokens that tell two names apart. It
// is the compact form of the evidence: "these differ only by q4_k_m vs q8_0".
func quantDifference(names ...string) []string {
var out []string
seen := map[string]struct{}{}
for _, name := range names {
// Filenames arrive here too, so the extension goes first and "/" counts
// as a separator. "_" deliberately does not: it holds "q4_k_m" together.
trimmed := weightExtension.ReplaceAllString(name, "")
for _, seg := range strings.FieldsFunc(strings.ToLower(trimmed), func(r rune) bool { return r == '-' || r == '/' }) {
if !IsQuantToken(seg) {
continue
}
if _, ok := seen[seg]; ok {
continue
}
seen[seg] = struct{}{}
out = append(out, seg)
}
}
sort.Strings(out)
return out
}

View File

@@ -0,0 +1,429 @@
package main
import (
"fmt"
"strings"
. "github.com/onsi/ginkgo/v2"
. "github.com/onsi/gomega"
)
// entryYAML writes one gallery entry with a single weight file, which is the
// shape almost every real entry has. Specs that need something else write the
// YAML out by hand.
func entryYAML(name, repo, filename, sha string) string {
return fmt.Sprintf(`- name: %s
url: github:mudler/LocalAI/gallery/virtual.yaml@master
overrides:
parameters:
model: %s
files:
- filename: %s
uri: huggingface://%s/%s
sha256: %s
`, name, filename, filename, repo, filename, sha)
}
func indexOf(entries ...string) *Index {
ix, err := ParseIndex(strings.Join(entries, ""))
ExpectWithOffset(1, err).ToNot(HaveOccurred())
return ix
}
// familyNames flattens a result into "parent <- variant, variant" strings, the
// form the specs assert against.
func familyNames(r *Result) []string {
out := make([]string, 0, len(r.Families))
for _, f := range r.Families {
names := make([]string, 0, len(f.Proposals))
for _, p := range f.Proposals {
names = append(names, p.Variant)
}
out = append(out, f.Parent+" <- "+strings.Join(names, ", "))
}
return out
}
func refusalReasons(r *Result) string {
var b strings.Builder
for _, ref := range r.Refusals {
b.WriteString(strings.Join(ref.Members, " + ") + ": " + ref.Reason + "\n")
}
return b.String()
}
func suppressionReasons(r *Result) string {
var b strings.Builder
for _, s := range r.Suppressed {
b.WriteString(s.String() + "\n")
}
return b.String()
}
var _ = Describe("Propose", func() {
Describe("the grouping signals", func() {
It("groups entries whose names differ only by a quantization marker", func() {
ix := indexOf(
entryYAML("foo-model", "acme/foo-GGUF", "foo-model-Q4_K_M.gguf", "aa"),
entryYAML("foo-model-q8_0", "acme/foo-GGUF", "foo-model-Q8_0.gguf", "bb"),
)
r := Propose(ix, nil)
Expect(familyNames(r)).To(ConsistOf("foo-model <- foo-model-q8_0"))
Expect(r.Families[0].Proposals[0].Evidence.Signals).To(ContainElement(SignalName))
Expect(r.Families[0].Proposals[0].Evidence.SharedStem).To(Equal("foo-model"))
Expect(r.Families[0].Proposals[0].Evidence.QuantTokens).To(ContainElements("q4_k_m", "q8_0"))
})
It("groups entries that use the colon config-suffix convention", func() {
ix := indexOf(
entryYAML("bar-model", "acme/bar-GGUF", "bar-model-Q4_K_M.gguf", "aa"),
entryYAML("bar-model:grammar-functioncall", "acme/bar-GGUF", "bar-model-Q4_K_M-grammar.gguf", "bb"),
)
r := Propose(ix, nil)
Expect(familyNames(r)).To(ConsistOf("bar-model <- bar-model:grammar-functioncall"))
Expect(r.Families[0].Proposals[0].Evidence.Signals).To(ContainElement(SignalConfigSuffix))
})
It("groups entries whose own weight file is the same file at another quantization", func() {
// The names share no stem, so only the filename signal can link
// these two.
ix := indexOf(
entryYAML("omni-cpp", "Serveurperso/Omni-GGUF", "omnivoice-base-Q8_0.gguf", "aa"),
entryYAML("omni-cpp-hq", "Serveurperso/Omni-GGUF", "omnivoice-base-BF16.gguf", "bb"),
)
r := Propose(ix, nil)
Expect(familyNames(r)).To(ConsistOf("omni-cpp <- omni-cpp-hq"))
ev := r.Families[0].Proposals[0].Evidence
Expect(ev.Signals).To(ConsistOf(SignalWeightFile))
Expect(ev.SharedFile).To(Equal("omnivoice-base"))
Expect(ev.SharedRepo).To(Equal("serveurperso/omni-gguf"))
})
It("does not let a shared auxiliary file link unrelated models", func() {
// Both entries ship the same text encoder. That is a packaging
// convention, not evidence of shared weights: this is how an
// earlier sweep linked four wan-2.1 entries to each other.
ix := indexOf(`- name: wan-2.1-t2v
url: u
files:
- filename: wan-2.1-t2v-Q4_K_M.gguf
uri: huggingface://acme/wan/wan-2.1-t2v-Q4_K_M.gguf
sha256: aa
- filename: umt5-xxl-encoder-Q8_0.gguf
uri: huggingface://acme/wan/umt5-xxl-encoder-Q8_0.gguf
sha256: cc
`, `- name: z-image-turbo
url: u
files:
- filename: z-image-turbo-Q4_K_M.gguf
uri: huggingface://acme/wan/z-image-turbo-Q4_K_M.gguf
sha256: bb
- filename: umt5-xxl-encoder-Q8_0.gguf
uri: huggingface://acme/wan/umt5-xxl-encoder-Q8_0.gguf
sha256: cc
`)
r := Propose(ix, nil)
Expect(familyNames(r)).To(BeEmpty())
})
It("does not treat a shared filename in two different repos as evidence", func() {
// A finetune republished under the base model's filename is the
// most common way this signal misfires.
ix := indexOf(
entryYAML("llama-3.2-3b-instruct", "hugging-quants/Llama-3.2-3B-Instruct-GGUF", "llama-3.2-3b-instruct-q4_k_m.gguf", "aa"),
entryYAML("llama-3.2-3b-shiro-roleplay", "someone/Shiro-GGUF", "Llama-3.2-3B-Instruct.Q8_0.gguf", "bb"),
)
r := Propose(ix, nil)
Expect(familyNames(r)).To(BeEmpty())
})
})
Describe("what must never be proposed", func() {
It("does not group different parameter sizes that share a prefix", func() {
ix := indexOf(
entryYAML("qwen3-tts-cpp-0.6b-base", "Serveurperso/Qwen3-TTS-GGUF", "qwen3-tts-talker-Q4_K_M.gguf", "aa"),
entryYAML("qwen3-tts-cpp-1.7b-base", "Serveurperso/Qwen3-TTS-GGUF", "qwen3-tts-talker-Q8_0.gguf", "bb"),
)
r := Propose(ix, nil)
Expect(familyNames(r)).To(BeEmpty())
Expect(suppressionReasons(r)).To(ContainSubstring("different parameter sizes"))
})
It("does not group the Gemma effective sizes", func() {
ix := indexOf(
entryYAML("gemma-4-e2b-it", "google/gemma-GGUF", "gemma-4-it-Q4_K_M.gguf", "aa"),
entryYAML("gemma-4-e4b-it", "google/gemma-GGUF", "gemma-4-it-Q8_0.gguf", "bb"),
)
r := Propose(ix, nil)
Expect(familyNames(r)).To(BeEmpty())
Expect(suppressionReasons(r)).To(ContainSubstring("different parameter sizes"))
})
It("does not group entries with a byte-identical install payload", func() {
// whisper-1 exists so OpenAI-compatible clients can send that name.
// Folding it under whisper-base would hide the name they send.
payload := ` url: github:mudler/LocalAI/gallery/whisper-base.yaml@master
overrides:
parameters:
model: ggml-whisper-base.bin
files:
- filename: ggml-whisper-base.bin
uri: huggingface://ggerganov/whisper.cpp/ggml-base.bin
sha256: aa
`
ix := indexOf("- name: whisper-base\n"+payload, "- name: whisper-1\n"+payload)
r := Propose(ix, nil)
Expect(familyNames(r)).To(BeEmpty())
Expect(r.AliasSkipped).To(HaveLen(1))
Expect(r.AliasSkipped[0].Reason).To(ContainSubstring("aliases"))
})
DescribeTable("declines the categories the ledger records",
func(nameA, nameB string, ledgerYAML string) {
ix := indexOf(
entryYAML(nameA, "acme/repo", "shared-weights-Q4_K_M.gguf", "aa"),
entryYAML(nameB, "acme/repo", "shared-weights-Q8_0.gguf", "bb"),
)
ledger, err := ParseLedger([]byte(ledgerYAML))
Expect(err).ToNot(HaveOccurred())
// Without the ledger these would be proposed, which is what
// makes the ledger load bearing rather than decorative.
Expect(familyNames(Propose(ix, nil))).ToNot(BeEmpty())
r := Propose(ix, ledger)
Expect(familyNames(r)).To(BeEmpty())
Expect(r.Suppressed).To(HaveLen(1))
},
Entry("a finetune", "base-model", "base-model-abliterated",
"tokens:\n - {token: abliterated, reason: finetune}\n"),
Entry("a distill", "base-model", "base-model-distilled",
"tokens:\n - {token: distilled, reason: distilled}\n"),
Entry("English-only versus multilingual ASR", "whisper-small", "whisper-small-en",
"pairs:\n - {parent: whisper-small, variant: whisper-small-en, reason: English-only versus multilingual}\n"),
Entry("two products sharing a prefix", "vibevoice-cpp", "vibevoice-cpp-asr",
"pairs:\n - {parent: vibevoice-cpp, variant: vibevoice-cpp-asr, reason: different products}\n"),
Entry("a per-language release", "kokoros-de", "kokoros-ja",
"groups:\n - {members: [kokoros, kokoros-de, kokoros-ja], reason: different languages}\n"),
)
It("reports the ledger's reason so its effect stays visible", func() {
ix := indexOf(
entryYAML("base-model", "acme/repo", "shared-weights-Q4_K_M.gguf", "aa"),
entryYAML("base-model-heretic", "acme/repo", "shared-weights-Q8_0.gguf", "bb"),
)
ledger, err := ParseLedger([]byte("tokens:\n - {token: heretic, reason: \"finetune, not a re-quantization\"}\n"))
Expect(err).ToNot(HaveOccurred())
r := Propose(ix, ledger)
Expect(suppressionReasons(r)).To(ContainSubstring("finetune, not a re-quantization"))
Expect(suppressionReasons(r)).To(ContainSubstring(`token "heretic"`))
})
})
Describe("parent selection", func() {
It("picks the bare-named entry when one exists", func() {
ix := indexOf(
entryYAML("base-model-q8_0", "acme/repo", "base-model-Q8_0.gguf", "aa"),
entryYAML("base-model", "acme/repo", "base-model-Q4_K_M.gguf", "bb"),
entryYAML("base-model-f16", "acme/repo", "base-model-f16.gguf", "cc"),
)
r := Propose(ix, nil)
Expect(familyNames(r)).To(ConsistOf("base-model <- base-model-f16, base-model-q8_0"))
})
It("picks the smallest build when no entry is bare-named", func() {
ix := indexOf(
entryYAML("ced-base-f16", "acme/repo", "ced-base-f16.gguf", "aa"),
entryYAML("ced-base-q8", "acme/repo", "ced-base-Q8_0.gguf", "bb"),
)
r := Propose(ix, nil)
Expect(familyNames(r)).To(ConsistOf("ced-base-q8 <- ced-base-f16"))
})
It("judges the smallest build by the quantization in the model filename, not the name", func() {
// The names carry no marker at all; only the filenames say which
// build is which.
ix := indexOf(
entryYAML("thing-hq", "acme/repo", "thing-weights-BF16.gguf", "aa"),
entryYAML("thing-lite", "acme/repo", "thing-weights-Q4_K_M.gguf", "bb"),
)
r := Propose(ix, nil)
Expect(familyNames(r)).To(ConsistOf("thing-lite <- thing-hq"))
})
})
Describe("the rules a proposal has to respect", func() {
It("refuses to nest: a target that already offers variants of its own", func() {
ix := indexOf(
entryYAML("nest-model", "acme/repo", "nest-model-Q4_K_M.gguf", "aa"),
`- name: nest-model-q8_0
url: u
variants:
- model: nest-model-q8_0-mtp
overrides:
parameters:
model: nest-model-Q8_0.gguf
files:
- filename: nest-model-Q8_0.gguf
uri: huggingface://acme/repo/nest-model-Q8_0.gguf
sha256: bb
`,
entryYAML("nest-model-q8_0-mtp", "other/repo", "nest-model-mtp.gguf", "cc"),
)
r := Propose(ix, nil)
Expect(familyNames(r)).To(BeEmpty())
Expect(refusalReasons(r)).To(ContainSubstring("already offers variants of its own"))
})
It("refuses to nest: a parent that is already somebody else's variant", func() {
ix := indexOf(
`- name: outer
url: u
variants:
- model: middle
overrides:
parameters:
model: outer-Q4_K_M.gguf
files:
- filename: outer-Q4_K_M.gguf
uri: huggingface://acme/repo/outer-Q4_K_M.gguf
sha256: aa
`,
entryYAML("middle", "acme/other", "middle-Q4_K_M.gguf", "bb"),
entryYAML("middle-q8_0", "acme/other", "middle-Q8_0.gguf", "cc"),
)
r := Propose(ix, nil)
Expect(familyNames(r)).To(BeEmpty())
Expect(refusalReasons(r)).To(ContainSubstring("would nest variants"))
})
It("refuses to let two parents claim one target", func() {
ix := indexOf(
`- name: claimant
url: u
variants:
- model: contested-q8_0
overrides:
parameters:
model: claimant-Q4_K_M.gguf
files:
- filename: claimant-Q4_K_M.gguf
uri: huggingface://acme/repo/claimant-Q4_K_M.gguf
sha256: aa
`,
entryYAML("contested", "acme/other", "contested-Q4_K_M.gguf", "bb"),
entryYAML("contested-q8_0", "acme/other", "contested-Q8_0.gguf", "cc"),
)
r := Propose(ix, nil)
Expect(familyNames(r)).To(BeEmpty())
Expect(refusalReasons(r)).To(ContainSubstring("already a variant of"))
})
It("refuses a target that is not independently installable", func() {
ix := indexOf(
entryYAML("stub-model", "acme/repo", "stub-model-Q4_K_M.gguf", "aa"),
"- name: stub-model-q8_0\n description: a stanza nobody finished\n",
)
r := Propose(ix, nil)
Expect(familyNames(r)).To(BeEmpty())
Expect(refusalReasons(r)).To(ContainSubstring("not independently installable"))
})
It("refuses a family whose parent defines a merge anchor, naming the entries that would inherit", func() {
ix := indexOf(
`- &anchored
name: anchored-model
url: u
overrides:
parameters:
model: anchored-Q4_K_M.gguf
files:
- filename: anchored-Q4_K_M.gguf
uri: huggingface://acme/repo/anchored-Q4_K_M.gguf
sha256: aa
`,
`- !!merge <<: *anchored
name: anchored-child
variants: []
overrides:
parameters:
model: unrelated-child-Q4_K_M.gguf
files:
- filename: unrelated-child-Q4_K_M.gguf
uri: huggingface://other/repo/unrelated-child-Q4_K_M.gguf
sha256: cc
`,
entryYAML("anchored-model-q8_0", "acme/repo", "anchored-Q8_0.gguf", "bb"),
)
r := Propose(ix, nil)
Expect(familyNames(r)).To(BeEmpty())
Expect(refusalReasons(r)).To(ContainSubstring("defines YAML anchor &anchored"))
Expect(refusalReasons(r)).To(ContainSubstring("anchored-child"))
Expect(refusalReasons(r)).To(ContainSubstring("variants: []"))
})
It("refuses an entry whose name is not unique in the gallery", func() {
ix := indexOf(
entryYAML("twin", "acme/repo", "twin-Q4_K_M.gguf", "aa"),
entryYAML("twin", "acme/repo", "twin-Q4_K_M.gguf", "aa"),
entryYAML("twin-q8_0", "acme/repo", "twin-Q8_0.gguf", "bb"),
)
r := Propose(ix, nil)
Expect(familyNames(r)).To(BeEmpty())
Expect(refusalReasons(r)).To(ContainSubstring("appears more than once"))
})
It("says nothing about a pair that is already grouped", func() {
ix := indexOf(
`- name: settled
url: u
variants:
- model: settled-q8_0
overrides:
parameters:
model: settled-Q4_K_M.gguf
files:
- filename: settled-Q4_K_M.gguf
uri: huggingface://acme/repo/settled-Q4_K_M.gguf
sha256: aa
`,
entryYAML("settled-q8_0", "acme/repo", "settled-Q8_0.gguf", "bb"),
)
r := Propose(ix, nil)
Expect(r.HasProposals()).To(BeFalse())
Expect(r.Refusals).To(BeEmpty())
Expect(r.Suppressed).To(BeEmpty())
})
It("adds only the missing members to a family that already exists", func() {
ix := indexOf(
`- name: partial
url: u
variants:
- model: partial-q8_0
overrides:
parameters:
model: partial-Q4_K_M.gguf
files:
- filename: partial-Q4_K_M.gguf
uri: huggingface://acme/repo/partial-Q4_K_M.gguf
sha256: aa
`,
entryYAML("partial-q8_0", "acme/repo", "partial-Q8_0.gguf", "bb"),
entryYAML("partial-f16", "acme/repo", "partial-f16.gguf", "cc"),
)
r := Propose(ix, nil)
Expect(familyNames(r)).To(ConsistOf("partial <- partial-f16"))
})
})
It("does not modify the index it was given", func() {
text := entryYAML("foo-model", "acme/foo-GGUF", "foo-model-Q4_K_M.gguf", "aa") +
entryYAML("foo-model-q8_0", "acme/foo-GGUF", "foo-model-Q8_0.gguf", "bb")
ix, err := ParseIndex(text)
Expect(err).ToNot(HaveOccurred())
before := strings.Join(ix.Lines, "\n")
Propose(ix, nil)
Expect(strings.Join(ix.Lines, "\n")).To(Equal(before))
})
})

151
.github/ci/variantproposals/quant.go vendored Normal file
View File

@@ -0,0 +1,151 @@
package main
import (
"regexp"
"strconv"
"strings"
)
// Quantization and precision markers that distinguish one build of a set of
// weights from another build of the same weights. Stripping them from a name
// is what lets the proposer notice that two entries are the same model.
//
// qat and apex are in this list on a maintainer ruling: they are quantization
// techniques applied to published weights, not separate weights. Names that use
// "apex" to mean a finetune are handled by the rejection ledger instead, because
// no amount of pattern matching can tell the two uses apart.
const quantAlternation = `q[2-8](?:_[0-9a-z]+)*|pq[2-8](?:_[0-9a-z]+)*|iq[1-9][0-9a-z]*(?:_[0-9a-z]+)*|i1|` +
`f16|f32|bf16|fp16|fp32|fp8|fp4|nvfp4|mxfp4(?:_moe)*|awq|gptq|qat|apex|gguf|ggml|[0-9]+bit|g[0-9]+`
// quantSegment matches a whole hyphen-delimited segment of an entry name.
// Names separate their parts with "-" and keep quantization tokens internally
// joined with "_", so a segment is the right unit here: "q4_k_m" arrives whole.
var quantSegment = regexp.MustCompile(`^(?:` + quantAlternation + `)$`)
// quantFileSuffix matches a trailing quantization token in a weight filename.
// Filenames mix "-", "_" and "." as separators, so unlike entry names they
// cannot be split into segments up front without tearing "Q4_K_M" apart.
var quantFileSuffix = regexp.MustCompile(`(?i)[-_.](?:` + quantAlternation + `)$`)
var weightExtension = regexp.MustCompile(`(?i)\.(gguf|ggml|safetensors|bin|pt|pth|onnx)$`)
// IsQuantToken reports whether a single name segment is a quantization or
// precision marker rather than part of the model's identity.
func IsQuantToken(segment string) bool {
return quantSegment.MatchString(strings.ToLower(segment))
}
// NameStem reduces an entry name to the identity it shares with its alternative
// builds: the config suffix after ":" is dropped, then trailing quantization
// segments are stripped.
//
// It implements the first two grouping signals together because they answer the
// same question. "foo:q8_0" and "foo-q8_0" are both alternative builds of "foo",
// and the caller that needs to report which convention was used can compare the
// name against the stem itself.
//
// At least one segment always survives, so a name made entirely of quantization
// tokens does not collapse to the empty stem and swallow every other such name.
func NameStem(name string) string {
base := strings.ToLower(strings.TrimSpace(name))
if i := strings.Index(base, ":"); i >= 0 {
base = base[:i]
}
segments := strings.Split(base, "-")
for len(segments) > 1 && quantSegment.MatchString(segments[len(segments)-1]) {
segments = segments[:len(segments)-1]
}
return strings.Join(segments, "-")
}
// HasConfigSuffix reports whether a name uses the ":" convention for naming a
// config variant of another entry.
func HasConfigSuffix(name string) bool {
return strings.Contains(name, ":")
}
// FileStem reduces a weight filename to the identity shared by its other
// quantizations: directories, extension and trailing quantization tokens go.
//
// This is the third grouping signal. It is the one that has misfired before, so
// callers must filter auxiliary files out before handing a filename here: a
// shared text encoder is not evidence of shared weights.
func FileStem(filename string) string {
base := filename
if i := strings.LastIndex(base, "/"); i >= 0 {
base = base[i+1:]
}
base = weightExtension.ReplaceAllString(base, "")
for {
stripped := quantFileSuffix.ReplaceAllString(base, "")
if stripped == base {
break
}
base = stripped
}
return strings.ToLower(base)
}
// bitsPerWeight ranks quantization tokens so the smallest build of a family can
// be identified when no bare-named entry exists to be the parent.
//
// The figures are nominal bits per weight, not measured file sizes. Ranking is
// all that is asked of them, and a nominal figure is available from the name
// alone without downloading anything.
func bitsPerWeight(token string) (int, bool) {
t := strings.ToLower(token)
switch {
case t == "i1":
return 1, true
case strings.HasPrefix(t, "nvfp4"), strings.HasPrefix(t, "mxfp4"), t == "fp4":
return 4, true
case t == "fp8":
return 8, true
case t == "f16", t == "bf16", t == "fp16":
return 16, true
case t == "f32", t == "fp32":
return 32, true
case t == "awq", t == "gptq":
return 4, true
}
if m := regexp.MustCompile(`^p?q([1-9])`).FindStringSubmatch(t); m != nil {
n, _ := strconv.Atoi(m[1])
return n, true
}
if m := regexp.MustCompile(`^iq([1-9])`).FindStringSubmatch(t); m != nil {
n, _ := strconv.Atoi(m[1])
return n, true
}
if m := regexp.MustCompile(`^([0-9]+)bit$`).FindStringSubmatch(t); m != nil {
n, _ := strconv.Atoi(m[1])
return n, true
}
return 0, false
}
// unknownWidth sorts after every recognised quantization so an entry whose
// build cannot be read from its filename never wins the "smallest build" tie
// break by accident.
const unknownWidth = 1 << 10
// BuildWidth reports the nominal bits per weight of the build a filename holds.
// An unreadable filename gets unknownWidth.
func BuildWidth(filename string) int {
base := filename
if i := strings.LastIndex(base, "/"); i >= 0 {
base = base[i+1:]
}
base = weightExtension.ReplaceAllString(base, "")
best := unknownWidth
for {
m := quantFileSuffix.FindString(base)
if m == "" {
break
}
if bits, ok := bitsPerWeight(m[1:]); ok && bits < best {
best = bits
}
base = base[:len(base)-len(m)]
}
return best
}

View File

@@ -0,0 +1,92 @@
package main
import (
. "github.com/onsi/ginkgo/v2"
. "github.com/onsi/gomega"
)
var _ = Describe("quantization markers", func() {
DescribeTable("NameStem strips the markers that distinguish builds, not models",
func(name, expected string) {
Expect(NameStem(name)).To(Equal(expected))
},
Entry("plain q4", "foo-model-q4_k_m", "foo-model"),
Entry("q8_0", "foo-model-q8_0", "foo-model"),
Entry("q5_1", "foo-model-q5_1", "foo-model"),
Entry("q2 with group size", "ternary-bonsai-8b-q2-g64", "ternary-bonsai-8b"),
Entry("iq variant", "ideogram-4-iq4nl-ggml", "ideogram-4"),
Entry("i1 imatrix", "orca-agent-v0.1-i1", "orca-agent-v0.1"),
Entry("f16", "ced-base-f16", "ced-base"),
Entry("bf16", "some-model-bf16", "some-model"),
Entry("fp8", "some-model-fp8", "some-model"),
Entry("nvfp4", "qwen3.6-27b-nvfp4", "qwen3.6-27b"),
Entry("mxfp4_moe", "huihui-qwen3-vl-30b-a3b-instruct-abliterated-mxfp4_moe", "huihui-qwen3-vl-30b-a3b-instruct-abliterated"),
Entry("pq2", "ternary-bonsai-8b-pq2", "ternary-bonsai-8b"),
Entry("awq", "some-model-awq", "some-model"),
Entry("gptq", "some-model-gptq", "some-model"),
Entry("Nbit", "qwen3-8b-mlx-4bit", "qwen3-8b-mlx"),
Entry("gguf", "some-model-gguf", "some-model"),
Entry("ggml", "flux.1-dev-ggml", "flux.1-dev"),
Entry("qat is a quantization technique", "gemma-3-27b-it-qat", "gemma-3-27b-it"),
Entry("apex is a quantization technique", "qwen3.6-35b-a3b-apex", "qwen3.6-35b-a3b"),
Entry("stacked markers", "gemma-4-e2b-it-qat-q4_0", "gemma-4-e2b-it"),
Entry("the config suffix is dropped", "phi-2-chat:Q8_0", "phi-2-chat"),
Entry("a non-quant config suffix is dropped too", "meta-llama-3.1-8b-instruct:grammar-functioncall", "meta-llama-3.1-8b-instruct"),
)
DescribeTable("NameStem leaves alone what identifies a different model",
func(name, expected string) {
Expect(NameStem(name)).To(Equal(expected))
},
Entry("parameter size", "qwen3-tts-cpp-0.6b-base", "qwen3-tts-cpp-0.6b-base"),
Entry("language suffix", "kokoros-de", "kokoros-de"),
Entry("English-only ASR", "whisper-small-en", "whisper-small-en"),
Entry("finetune", "qwen3-30b-a3b-abliterated", "qwen3-30b-a3b-abliterated"),
Entry("product suffix", "vibevoice-cpp-asr", "vibevoice-cpp-asr"),
)
It("never strips a name down to nothing", func() {
Expect(NameStem("q4_k_m")).To(Equal("q4_k_m"))
Expect(NameStem("f16-q8_0")).To(Equal("f16"))
})
DescribeTable("FileStem reduces a weight filename to the weights it holds",
func(filename, expected string) {
Expect(FileStem(filename)).To(Equal(expected))
},
Entry("directory and extension go", "bonsai/models/Ternary-Bonsai-8B-gguf/Ternary-Bonsai-8B-Q2_0.gguf", "ternary-bonsai-8b"),
Entry("underscored quant token stays whole", "Llama-3.2-1B-Instruct-Q4_K_M.gguf", "llama-3.2-1b-instruct"),
Entry("dot separated quant token", "Llama-3.2-3B-Instruct.Q4_K_M.gguf", "llama-3.2-3b-instruct"),
Entry("group size suffix", "Ternary-Bonsai-8B-Q2_0_g64.gguf", "ternary-bonsai-8b"),
Entry("bf16", "omnivoice-cpp-hq/omnivoice-base-BF16.gguf", "omnivoice-base"),
Entry("safetensors", "some/dir/Model-Name-fp8.safetensors", "model-name"),
)
DescribeTable("BuildWidth reads the nominal width out of a filename",
func(filename string, expected int) {
Expect(BuildWidth(filename)).To(Equal(expected))
},
Entry("q4", "foo-Q4_K_M.gguf", 4),
Entry("q8", "foo-Q8_0.gguf", 8),
Entry("q2", "foo-Q2_0.gguf", 2),
Entry("f16", "foo-f16.gguf", 16),
Entry("bf16", "foo-BF16.gguf", 16),
Entry("iq3", "foo-iq3_xxs.gguf", 3),
Entry("nothing readable sorts last", "foo.gguf", unknownWidth),
)
It("treats an auxiliary file as never being the model's own weights", func() {
for _, f := range []string{
"mmproj-model-f16.gguf",
"dir/vae-BF16.gguf",
"clip_l.safetensors",
"umt5-xxl-encoder-Q8_0.gguf",
"t5xxl_fp16.safetensors",
"ae.safetensors",
"omnivoice-tokenizer-Q8_0.gguf",
} {
Expect(IsAuxiliaryFile(f)).To(BeTrue(), "expected %q to be auxiliary", f)
}
Expect(IsAuxiliaryFile("gemma-3-27b-it-Q4_K_M.gguf")).To(BeFalse())
})
})

View File

@@ -0,0 +1,13 @@
package main
import (
"testing"
. "github.com/onsi/ginkgo/v2"
. "github.com/onsi/gomega"
)
func TestVariantProposals(t *testing.T) {
RegisterFailHandler(Fail)
RunSpecs(t, "gallery variant proposals")
}

View File

@@ -45,6 +45,16 @@ updates:
directory: "/backend/python/diffusers"
schedule:
interval: "weekly"
# torch and transformers are deliberately pinned in this backend (see
# backend/python/diffusers/requirements-*.txt and issue #9979), and the
# l4t12 variant resolves them from the Jetson pip index
# (https://pypi.jetson-ai-lab.io/jp6/cu129/). dependabot cannot authenticate
# against that index and fails the whole weekly update with a
# private_source_authentication_failure. Ignore the two pinned deps we don't
# want bumped anyway so the job stays green.
ignore:
- dependency-name: "torch"
- dependency-name: "transformers"
- package-ecosystem: "pip"
directory: "/backend/python/exllama"
schedule:

39
.github/gh_curl.sh vendored Executable file
View File

@@ -0,0 +1,39 @@
#!/bin/bash
# Shared curl wrapper for the nightly dependency-bump scripts.
#
# The bump workflow fans out to ~25 parallel matrix jobs, each querying
# api.github.com. Anonymous API calls are capped at 60/hour per source IP and
# GitHub-hosted runners egress through shared NAT addresses, so a random handful
# of jobs were getting rate-limited (HTTP 403 -> curl exit 22, empty response)
# every single night. Authenticating with GITHUB_TOKEN lifts the ceiling to
# 1000/hour; the retries absorb whatever transient blips remain.
# Wraps curl with GitHub auth (when a token is present) plus retry/timeout
# hardening. Callers pass their own headers and the URL.
gh_curl() {
# The bump scripts run under `set -x`; without this the Authorization header
# would be echoed into the job log on every call.
local had_xtrace=0
case "$-" in
*x*) had_xtrace=1; set +x ;;
esac
local args=(
--silent --show-error --location --fail
# --retry-all-errors so 403 rate-limit responses are retried too; plain
# --retry only covers 408/429/5xx. curl honours Retry-After when sent.
--retry 5 --retry-delay 3 --retry-all-errors
--connect-timeout 15 --max-time 60
)
if [ -n "${GITHUB_TOKEN:-}" ]; then
args+=(--header "Authorization: Bearer ${GITHUB_TOKEN}")
fi
curl "${args[@]}" "$@"
local rc=$?
if [ "$had_xtrace" -eq 1 ]; then
set -x
fi
return $rc
}

View File

@@ -32,16 +32,30 @@ jobs:
if: github.repository == 'mudler/LocalAI'
runs-on: ubuntu-latest
outputs:
matrix-singlearch: ${{ steps.set-matrix.outputs['matrix-singlearch'] }}
matrix-multiarch: ${{ steps.set-matrix.outputs['matrix-multiarch'] }}
matrix-darwin: ${{ steps.set-matrix.outputs['matrix-darwin'] }}
merge-matrix-multiarch: ${{ steps.set-matrix.outputs['merge-matrix-multiarch'] }}
merge-matrix-singlearch: ${{ steps.set-matrix.outputs['merge-matrix-singlearch'] }}
has-backends-singlearch: ${{ steps.set-matrix.outputs['has-backends-singlearch'] }}
has-backends-multiarch: ${{ steps.set-matrix.outputs['has-backends-multiarch'] }}
has-backends-darwin: ${{ steps.set-matrix.outputs['has-backends-darwin'] }}
has-merges-multiarch: ${{ steps.set-matrix.outputs['has-merges-multiarch'] }}
has-merges-singlearch: ${{ steps.set-matrix.outputs['has-merges-singlearch'] }}
# Single-arch backends are sharded across SINGLEARCH_SHARDS matrix jobs to
# stay under GitHub's 256-jobs-per-matrix limit (see changed-backends.js).
matrix-singlearch-1: ${{ steps.set-matrix.outputs['matrix-singlearch-1'] }}
merge-matrix-singlearch-1: ${{ steps.set-matrix.outputs['merge-matrix-singlearch-1'] }}
has-backends-singlearch-1: ${{ steps.set-matrix.outputs['has-backends-singlearch-1'] }}
has-merges-singlearch-1: ${{ steps.set-matrix.outputs['has-merges-singlearch-1'] }}
matrix-singlearch-2: ${{ steps.set-matrix.outputs['matrix-singlearch-2'] }}
merge-matrix-singlearch-2: ${{ steps.set-matrix.outputs['merge-matrix-singlearch-2'] }}
has-backends-singlearch-2: ${{ steps.set-matrix.outputs['has-backends-singlearch-2'] }}
has-merges-singlearch-2: ${{ steps.set-matrix.outputs['has-merges-singlearch-2'] }}
matrix-singlearch-3: ${{ steps.set-matrix.outputs['matrix-singlearch-3'] }}
merge-matrix-singlearch-3: ${{ steps.set-matrix.outputs['merge-matrix-singlearch-3'] }}
has-backends-singlearch-3: ${{ steps.set-matrix.outputs['has-backends-singlearch-3'] }}
has-merges-singlearch-3: ${{ steps.set-matrix.outputs['has-merges-singlearch-3'] }}
matrix-singlearch-4: ${{ steps.set-matrix.outputs['matrix-singlearch-4'] }}
merge-matrix-singlearch-4: ${{ steps.set-matrix.outputs['merge-matrix-singlearch-4'] }}
has-backends-singlearch-4: ${{ steps.set-matrix.outputs['has-backends-singlearch-4'] }}
has-merges-singlearch-4: ${{ steps.set-matrix.outputs['has-merges-singlearch-4'] }}
steps:
- name: Checkout repository
uses: actions/checkout@v7
@@ -109,9 +123,9 @@ jobs:
# take their full ~6h cold without blocking manifest assembly for the
# multi-arch backends whose per-arch digests would otherwise sit untagged
# on quay long enough to be GC'd.
backend-jobs-singlearch:
backend-jobs-singlearch-1:
needs: generate-matrix
if: needs.generate-matrix.outputs['has-backends-singlearch'] == 'true'
if: needs.generate-matrix.outputs['has-backends-singlearch-1'] == 'true'
uses: ./.github/workflows/backend_build.yml
with:
tag-latest: ${{ matrix.tag-latest }}
@@ -138,7 +152,100 @@ jobs:
strategy:
fail-fast: false
max-parallel: 8
matrix: ${{ fromJson(needs.generate-matrix.outputs['matrix-singlearch']) }}
matrix: ${{ fromJson(needs.generate-matrix.outputs['matrix-singlearch-1']) }}
backend-jobs-singlearch-2:
needs: generate-matrix
if: needs.generate-matrix.outputs['has-backends-singlearch-2'] == 'true'
uses: ./.github/workflows/backend_build.yml
with:
tag-latest: ${{ matrix.tag-latest }}
tag-suffix: ${{ matrix.tag-suffix }}
build-type: ${{ matrix.build-type }}
cuda-major-version: ${{ matrix.cuda-major-version }}
cuda-minor-version: ${{ matrix.cuda-minor-version }}
platforms: ${{ matrix.platforms }}
platform-tag: ${{ matrix.platform-tag || '' }}
runs-on: ${{ matrix.runs-on }}
builder-base-image: ${{ matrix.builder-base-image || '' }}
base-image: ${{ matrix.base-image }}
backend: ${{ matrix.backend }}
dockerfile: ${{ matrix.dockerfile }}
skip-drivers: ${{ matrix.skip-drivers }}
context: ${{ matrix.context }}
ubuntu-version: ${{ matrix.ubuntu-version }}
amdgpu-targets: ${{ matrix.amdgpu-targets || 'gfx908,gfx90a,gfx942,gfx950,gfx1030,gfx1100,gfx1101,gfx1102,gfx1151,gfx1200,gfx1201' }}
secrets:
dockerUsername: ${{ secrets.DOCKERHUB_USERNAME }}
dockerPassword: ${{ secrets.DOCKERHUB_PASSWORD }}
quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
strategy:
fail-fast: false
max-parallel: 8
matrix: ${{ fromJson(needs.generate-matrix.outputs['matrix-singlearch-2']) }}
backend-jobs-singlearch-3:
needs: generate-matrix
if: needs.generate-matrix.outputs['has-backends-singlearch-3'] == 'true'
uses: ./.github/workflows/backend_build.yml
with:
tag-latest: ${{ matrix.tag-latest }}
tag-suffix: ${{ matrix.tag-suffix }}
build-type: ${{ matrix.build-type }}
cuda-major-version: ${{ matrix.cuda-major-version }}
cuda-minor-version: ${{ matrix.cuda-minor-version }}
platforms: ${{ matrix.platforms }}
platform-tag: ${{ matrix.platform-tag || '' }}
runs-on: ${{ matrix.runs-on }}
builder-base-image: ${{ matrix.builder-base-image || '' }}
base-image: ${{ matrix.base-image }}
backend: ${{ matrix.backend }}
dockerfile: ${{ matrix.dockerfile }}
skip-drivers: ${{ matrix.skip-drivers }}
context: ${{ matrix.context }}
ubuntu-version: ${{ matrix.ubuntu-version }}
amdgpu-targets: ${{ matrix.amdgpu-targets || 'gfx908,gfx90a,gfx942,gfx950,gfx1030,gfx1100,gfx1101,gfx1102,gfx1151,gfx1200,gfx1201' }}
secrets:
dockerUsername: ${{ secrets.DOCKERHUB_USERNAME }}
dockerPassword: ${{ secrets.DOCKERHUB_PASSWORD }}
quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
strategy:
fail-fast: false
max-parallel: 8
matrix: ${{ fromJson(needs.generate-matrix.outputs['matrix-singlearch-3']) }}
backend-jobs-singlearch-4:
needs: generate-matrix
if: needs.generate-matrix.outputs['has-backends-singlearch-4'] == 'true'
uses: ./.github/workflows/backend_build.yml
with:
tag-latest: ${{ matrix.tag-latest }}
tag-suffix: ${{ matrix.tag-suffix }}
build-type: ${{ matrix.build-type }}
cuda-major-version: ${{ matrix.cuda-major-version }}
cuda-minor-version: ${{ matrix.cuda-minor-version }}
platforms: ${{ matrix.platforms }}
platform-tag: ${{ matrix.platform-tag || '' }}
runs-on: ${{ matrix.runs-on }}
builder-base-image: ${{ matrix.builder-base-image || '' }}
base-image: ${{ matrix.base-image }}
backend: ${{ matrix.backend }}
dockerfile: ${{ matrix.dockerfile }}
skip-drivers: ${{ matrix.skip-drivers }}
context: ${{ matrix.context }}
ubuntu-version: ${{ matrix.ubuntu-version }}
amdgpu-targets: ${{ matrix.amdgpu-targets || 'gfx908,gfx90a,gfx942,gfx950,gfx1030,gfx1100,gfx1101,gfx1102,gfx1151,gfx1200,gfx1201' }}
secrets:
dockerUsername: ${{ secrets.DOCKERHUB_USERNAME }}
dockerPassword: ${{ secrets.DOCKERHUB_PASSWORD }}
quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
strategy:
fail-fast: false
max-parallel: 8
matrix: ${{ fromJson(needs.generate-matrix.outputs['matrix-singlearch-4']) }}
# Apply tags to per-arch digests via `imagetools create`. Split into two
# jobs that mirror the build split so each merge waits ONLY on its
@@ -174,10 +281,12 @@ jobs:
fail-fast: false
matrix: ${{ fromJson(needs.generate-matrix.outputs['merge-matrix-multiarch']) }}
backend-merge-jobs-singlearch:
needs: [generate-matrix, backend-jobs-singlearch]
# See note on backend-merge-jobs-multiarch above for !cancelled().
if: ${{ !cancelled() && needs.generate-matrix.outputs['has-merges-singlearch'] == 'true' }}
# One merge shard per build shard: backend-merge-jobs-singlearch-<n> needs only
# backend-jobs-singlearch-<n>, preserving the "merge waits only on its own
# build" property while staying under the 256-jobs-per-matrix limit.
backend-merge-jobs-singlearch-1:
needs: [generate-matrix, backend-jobs-singlearch-1]
if: ${{ !cancelled() && needs.generate-matrix.outputs['has-merges-singlearch-1'] == 'true' }}
uses: ./.github/workflows/backend_merge.yml
with:
tag-latest: ${{ matrix.tag-latest }}
@@ -189,7 +298,55 @@ jobs:
quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
strategy:
fail-fast: false
matrix: ${{ fromJson(needs.generate-matrix.outputs['merge-matrix-singlearch']) }}
matrix: ${{ fromJson(needs.generate-matrix.outputs['merge-matrix-singlearch-1']) }}
backend-merge-jobs-singlearch-2:
needs: [generate-matrix, backend-jobs-singlearch-2]
if: ${{ !cancelled() && needs.generate-matrix.outputs['has-merges-singlearch-2'] == 'true' }}
uses: ./.github/workflows/backend_merge.yml
with:
tag-latest: ${{ matrix.tag-latest }}
tag-suffix: ${{ matrix.tag-suffix }}
secrets:
dockerUsername: ${{ secrets.DOCKERHUB_USERNAME }}
dockerPassword: ${{ secrets.DOCKERHUB_PASSWORD }}
quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
strategy:
fail-fast: false
matrix: ${{ fromJson(needs.generate-matrix.outputs['merge-matrix-singlearch-2']) }}
backend-merge-jobs-singlearch-3:
needs: [generate-matrix, backend-jobs-singlearch-3]
if: ${{ !cancelled() && needs.generate-matrix.outputs['has-merges-singlearch-3'] == 'true' }}
uses: ./.github/workflows/backend_merge.yml
with:
tag-latest: ${{ matrix.tag-latest }}
tag-suffix: ${{ matrix.tag-suffix }}
secrets:
dockerUsername: ${{ secrets.DOCKERHUB_USERNAME }}
dockerPassword: ${{ secrets.DOCKERHUB_PASSWORD }}
quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
strategy:
fail-fast: false
matrix: ${{ fromJson(needs.generate-matrix.outputs['merge-matrix-singlearch-3']) }}
backend-merge-jobs-singlearch-4:
needs: [generate-matrix, backend-jobs-singlearch-4]
if: ${{ !cancelled() && needs.generate-matrix.outputs['has-merges-singlearch-4'] == 'true' }}
uses: ./.github/workflows/backend_merge.yml
with:
tag-latest: ${{ matrix.tag-latest }}
tag-suffix: ${{ matrix.tag-suffix }}
secrets:
dockerUsername: ${{ secrets.DOCKERHUB_USERNAME }}
dockerPassword: ${{ secrets.DOCKERHUB_PASSWORD }}
quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
strategy:
fail-fast: false
matrix: ${{ fromJson(needs.generate-matrix.outputs['merge-matrix-singlearch-4']) }}
backend-jobs-darwin:
needs: generate-matrix

View File

@@ -82,7 +82,7 @@ jobs:
# as the Linux registry cache.
- name: Restore Homebrew cache
id: brew-cache
uses: actions/cache/restore@v4
uses: actions/cache/restore@v6
with:
path: |
~/Library/Caches/Homebrew/downloads
@@ -142,7 +142,7 @@ jobs:
- name: Save Homebrew cache
if: github.event_name != 'pull_request' && steps.brew-cache.outputs.cache-hit != 'true'
uses: actions/cache/save@v4
uses: actions/cache/save@v6
with:
path: |
~/Library/Caches/Homebrew/downloads
@@ -178,7 +178,7 @@ jobs:
- name: Restore ccache
if: inputs.backend == 'llama-cpp'
id: ccache-cache
uses: actions/cache/restore@v4
uses: actions/cache/restore@v6
with:
path: ~/Library/Caches/ccache
key: ccache-llama-${{ runner.arch }}-${{ steps.llama-version.outputs.version }}-${{ github.run_id }}
@@ -211,7 +211,7 @@ jobs:
- name: Restore Python wheel cache
if: inputs.lang == 'python'
id: pyenv-cache
uses: actions/cache/restore@v4
uses: actions/cache/restore@v6
with:
path: |
~/Library/Caches/pip
@@ -244,8 +244,19 @@ jobs:
make protogen-go
make backends/privacy-filter-darwin
# audio-cpp is a C++/ggml backend like ds4 and privacy-filter - a single
# grpc-server with otool dylib bundling, plus bundled VAD assets - so it
# gets its own bespoke darwin script rather than the generic
# build-darwin-go-backend path, which would look for a backend/go/audio-cpp
# that does not exist. Keep this set in sync with DARWIN_BESPOKE_BUILDERS
# in scripts/lib/backend-filter.mjs.
- name: Build audio-cpp backend (Darwin Metal)
if: inputs.backend == 'audio-cpp'
run: |
make backends/audio-cpp-darwin
- name: Build ${{ inputs.backend }}-darwin
if: inputs.backend != 'llama-cpp' && inputs.backend != 'ds4' && inputs.backend != 'privacy-filter'
if: inputs.backend != 'llama-cpp' && inputs.backend != 'ds4' && inputs.backend != 'privacy-filter' && inputs.backend != 'audio-cpp'
run: |
make protogen-go
BACKEND=${{ inputs.backend }} BUILD_TYPE=${{ inputs.build-type }} USE_PIP=${{ inputs.use-pip }} make build-darwin-${{ inputs.lang }}-backend
@@ -256,14 +267,14 @@ jobs:
- name: Save ccache
if: inputs.backend == 'llama-cpp' && github.event_name != 'pull_request'
uses: actions/cache/save@v4
uses: actions/cache/save@v6
with:
path: ~/Library/Caches/ccache
key: ccache-llama-${{ runner.arch }}-${{ steps.llama-version.outputs.version }}-${{ github.run_id }}
- name: Save Python wheel cache
if: inputs.lang == 'python' && github.event_name != 'pull_request' && steps.pyenv-cache.outputs.cache-hit != 'true'
uses: actions/cache/save@v4
uses: actions/cache/save@v6
with:
path: |
~/Library/Caches/pip

View File

@@ -11,16 +11,30 @@ jobs:
generate-matrix:
runs-on: ubuntu-latest
outputs:
matrix-singlearch: ${{ steps.set-matrix.outputs['matrix-singlearch'] }}
matrix-multiarch: ${{ steps.set-matrix.outputs['matrix-multiarch'] }}
matrix-darwin: ${{ steps.set-matrix.outputs['matrix-darwin'] }}
merge-matrix-multiarch: ${{ steps.set-matrix.outputs['merge-matrix-multiarch'] }}
merge-matrix-singlearch: ${{ steps.set-matrix.outputs['merge-matrix-singlearch'] }}
has-backends-singlearch: ${{ steps.set-matrix.outputs['has-backends-singlearch'] }}
has-backends-multiarch: ${{ steps.set-matrix.outputs['has-backends-multiarch'] }}
has-backends-darwin: ${{ steps.set-matrix.outputs['has-backends-darwin'] }}
has-merges-multiarch: ${{ steps.set-matrix.outputs['has-merges-multiarch'] }}
has-merges-singlearch: ${{ steps.set-matrix.outputs['has-merges-singlearch'] }}
# Single-arch backends are sharded across SINGLEARCH_SHARDS matrix jobs to
# stay under GitHub's 256-jobs-per-matrix limit (see changed-backends.js).
matrix-singlearch-1: ${{ steps.set-matrix.outputs['matrix-singlearch-1'] }}
merge-matrix-singlearch-1: ${{ steps.set-matrix.outputs['merge-matrix-singlearch-1'] }}
has-backends-singlearch-1: ${{ steps.set-matrix.outputs['has-backends-singlearch-1'] }}
has-merges-singlearch-1: ${{ steps.set-matrix.outputs['has-merges-singlearch-1'] }}
matrix-singlearch-2: ${{ steps.set-matrix.outputs['matrix-singlearch-2'] }}
merge-matrix-singlearch-2: ${{ steps.set-matrix.outputs['merge-matrix-singlearch-2'] }}
has-backends-singlearch-2: ${{ steps.set-matrix.outputs['has-backends-singlearch-2'] }}
has-merges-singlearch-2: ${{ steps.set-matrix.outputs['has-merges-singlearch-2'] }}
matrix-singlearch-3: ${{ steps.set-matrix.outputs['matrix-singlearch-3'] }}
merge-matrix-singlearch-3: ${{ steps.set-matrix.outputs['merge-matrix-singlearch-3'] }}
has-backends-singlearch-3: ${{ steps.set-matrix.outputs['has-backends-singlearch-3'] }}
has-merges-singlearch-3: ${{ steps.set-matrix.outputs['has-merges-singlearch-3'] }}
matrix-singlearch-4: ${{ steps.set-matrix.outputs['matrix-singlearch-4'] }}
merge-matrix-singlearch-4: ${{ steps.set-matrix.outputs['merge-matrix-singlearch-4'] }}
has-backends-singlearch-4: ${{ steps.set-matrix.outputs['has-backends-singlearch-4'] }}
has-merges-singlearch-4: ${{ steps.set-matrix.outputs['has-merges-singlearch-4'] }}
steps:
- name: Checkout repository
uses: actions/checkout@v7
@@ -71,10 +85,10 @@ jobs:
fail-fast: true
max-parallel: 8
matrix: ${{ fromJson(needs.generate-matrix.outputs['matrix-multiarch']) }}
backend-jobs-singlearch:
backend-jobs-singlearch-1:
needs: generate-matrix
if: needs.generate-matrix.outputs['has-backends-singlearch-1'] == 'true'
uses: ./.github/workflows/backend_build.yml
if: needs.generate-matrix.outputs['has-backends-singlearch'] == 'true'
with:
tag-latest: ${{ matrix.tag-latest }}
tag-suffix: ${{ matrix.tag-suffix }}
@@ -98,7 +112,94 @@ jobs:
strategy:
fail-fast: true
max-parallel: 8
matrix: ${{ fromJson(needs.generate-matrix.outputs['matrix-singlearch']) }}
matrix: ${{ fromJson(needs.generate-matrix.outputs['matrix-singlearch-1']) }}
backend-jobs-singlearch-2:
needs: generate-matrix
if: needs.generate-matrix.outputs['has-backends-singlearch-2'] == 'true'
uses: ./.github/workflows/backend_build.yml
with:
tag-latest: ${{ matrix.tag-latest }}
tag-suffix: ${{ matrix.tag-suffix }}
build-type: ${{ matrix.build-type }}
cuda-major-version: ${{ matrix.cuda-major-version }}
cuda-minor-version: ${{ matrix.cuda-minor-version }}
platforms: ${{ matrix.platforms }}
platform-tag: ${{ matrix.platform-tag || '' }}
runs-on: ${{ matrix.runs-on }}
builder-base-image: ${{ matrix.builder-base-image || '' }}
base-image: ${{ matrix.base-image }}
backend: ${{ matrix.backend }}
dockerfile: ${{ matrix.dockerfile }}
skip-drivers: ${{ matrix.skip-drivers }}
context: ${{ matrix.context }}
ubuntu-version: ${{ matrix.ubuntu-version }}
amdgpu-targets: ${{ matrix.amdgpu-targets || 'gfx908,gfx90a,gfx942,gfx950,gfx1030,gfx1100,gfx1101,gfx1102,gfx1151,gfx1200,gfx1201' }}
secrets:
quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
strategy:
fail-fast: true
max-parallel: 8
matrix: ${{ fromJson(needs.generate-matrix.outputs['matrix-singlearch-2']) }}
backend-jobs-singlearch-3:
needs: generate-matrix
if: needs.generate-matrix.outputs['has-backends-singlearch-3'] == 'true'
uses: ./.github/workflows/backend_build.yml
with:
tag-latest: ${{ matrix.tag-latest }}
tag-suffix: ${{ matrix.tag-suffix }}
build-type: ${{ matrix.build-type }}
cuda-major-version: ${{ matrix.cuda-major-version }}
cuda-minor-version: ${{ matrix.cuda-minor-version }}
platforms: ${{ matrix.platforms }}
platform-tag: ${{ matrix.platform-tag || '' }}
runs-on: ${{ matrix.runs-on }}
builder-base-image: ${{ matrix.builder-base-image || '' }}
base-image: ${{ matrix.base-image }}
backend: ${{ matrix.backend }}
dockerfile: ${{ matrix.dockerfile }}
skip-drivers: ${{ matrix.skip-drivers }}
context: ${{ matrix.context }}
ubuntu-version: ${{ matrix.ubuntu-version }}
amdgpu-targets: ${{ matrix.amdgpu-targets || 'gfx908,gfx90a,gfx942,gfx950,gfx1030,gfx1100,gfx1101,gfx1102,gfx1151,gfx1200,gfx1201' }}
secrets:
quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
strategy:
fail-fast: true
max-parallel: 8
matrix: ${{ fromJson(needs.generate-matrix.outputs['matrix-singlearch-3']) }}
backend-jobs-singlearch-4:
needs: generate-matrix
if: needs.generate-matrix.outputs['has-backends-singlearch-4'] == 'true'
uses: ./.github/workflows/backend_build.yml
with:
tag-latest: ${{ matrix.tag-latest }}
tag-suffix: ${{ matrix.tag-suffix }}
build-type: ${{ matrix.build-type }}
cuda-major-version: ${{ matrix.cuda-major-version }}
cuda-minor-version: ${{ matrix.cuda-minor-version }}
platforms: ${{ matrix.platforms }}
platform-tag: ${{ matrix.platform-tag || '' }}
runs-on: ${{ matrix.runs-on }}
builder-base-image: ${{ matrix.builder-base-image || '' }}
base-image: ${{ matrix.base-image }}
backend: ${{ matrix.backend }}
dockerfile: ${{ matrix.dockerfile }}
skip-drivers: ${{ matrix.skip-drivers }}
context: ${{ matrix.context }}
ubuntu-version: ${{ matrix.ubuntu-version }}
amdgpu-targets: ${{ matrix.amdgpu-targets || 'gfx908,gfx90a,gfx942,gfx950,gfx1030,gfx1100,gfx1101,gfx1102,gfx1151,gfx1200,gfx1201' }}
secrets:
quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
strategy:
fail-fast: true
max-parallel: 8
matrix: ${{ fromJson(needs.generate-matrix.outputs['matrix-singlearch-4']) }}
backend-merge-jobs-multiarch:
needs: [generate-matrix, backend-jobs-multiarch]
# backend_merge.yml's push-side steps are all gated on
@@ -118,9 +219,9 @@ jobs:
fail-fast: false
matrix: ${{ fromJson(needs.generate-matrix.outputs['merge-matrix-multiarch']) }}
backend-merge-jobs-singlearch:
needs: [generate-matrix, backend-jobs-singlearch]
if: ${{ !cancelled() && github.event_name != 'pull_request' && needs.generate-matrix.outputs['has-merges-singlearch'] == 'true' }}
backend-merge-jobs-singlearch-1:
needs: [generate-matrix, backend-jobs-singlearch-1]
if: ${{ !cancelled() && github.event_name != 'pull_request' && needs.generate-matrix.outputs['has-merges-singlearch-1'] == 'true' }}
uses: ./.github/workflows/backend_merge.yml
with:
tag-latest: ${{ matrix.tag-latest }}
@@ -130,7 +231,49 @@ jobs:
quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
strategy:
fail-fast: false
matrix: ${{ fromJson(needs.generate-matrix.outputs['merge-matrix-singlearch']) }}
matrix: ${{ fromJson(needs.generate-matrix.outputs['merge-matrix-singlearch-1']) }}
backend-merge-jobs-singlearch-2:
needs: [generate-matrix, backend-jobs-singlearch-2]
if: ${{ !cancelled() && github.event_name != 'pull_request' && needs.generate-matrix.outputs['has-merges-singlearch-2'] == 'true' }}
uses: ./.github/workflows/backend_merge.yml
with:
tag-latest: ${{ matrix.tag-latest }}
tag-suffix: ${{ matrix.tag-suffix }}
secrets:
quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
strategy:
fail-fast: false
matrix: ${{ fromJson(needs.generate-matrix.outputs['merge-matrix-singlearch-2']) }}
backend-merge-jobs-singlearch-3:
needs: [generate-matrix, backend-jobs-singlearch-3]
if: ${{ !cancelled() && github.event_name != 'pull_request' && needs.generate-matrix.outputs['has-merges-singlearch-3'] == 'true' }}
uses: ./.github/workflows/backend_merge.yml
with:
tag-latest: ${{ matrix.tag-latest }}
tag-suffix: ${{ matrix.tag-suffix }}
secrets:
quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
strategy:
fail-fast: false
matrix: ${{ fromJson(needs.generate-matrix.outputs['merge-matrix-singlearch-3']) }}
backend-merge-jobs-singlearch-4:
needs: [generate-matrix, backend-jobs-singlearch-4]
if: ${{ !cancelled() && github.event_name != 'pull_request' && needs.generate-matrix.outputs['has-merges-singlearch-4'] == 'true' }}
uses: ./.github/workflows/backend_merge.yml
with:
tag-latest: ${{ matrix.tag-latest }}
tag-suffix: ${{ matrix.tag-suffix }}
secrets:
quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
strategy:
fail-fast: false
matrix: ${{ fromJson(needs.generate-matrix.outputs['merge-matrix-singlearch-4']) }}
backend-jobs-darwin:
needs: generate-matrix
uses: ./.github/workflows/backend_build_darwin.yml

View File

@@ -5,6 +5,32 @@ on:
branches:
- master
pull_request:
# GoReleaser and the darwin launcher take no gallery, docs or markdown
# input, so a diff confined to these paths cannot change either binary.
# The darwin job matters here: macOS is the scarcest runner class.
#
# backend/{cpp,go,python}/**: GoReleaser builds ./cmd/local-ai and the
# launcher builds ./cmd/launcher; neither compiles a backend. The
# before-hooks still matter, but their input is backend/backend.proto
# (protogen-go) and go.mod/go.sum (go mod tidy), none of which live under
# these prefixes, so a change to any of those still triggers a full run.
# See .agents/ci-caching.md.
paths-ignore:
- 'gallery/**'
- 'docs/**'
- 'examples/**'
- '**/*.md'
- 'backend/cpp/**'
- 'backend/go/**'
- 'backend/python/**'
# Supersede an in-flight run when a PR gets a new push. Keyed on the PR number
# so every push to the same PR shares a group; on a master push the key falls
# back to github.sha (unique per commit) and cancel-in-progress is false, so
# master runs never cancel each other -- each commit is built on its own.
concurrency:
group: ci-build-test-${{ github.event.pull_request.number || github.sha }}-${{ github.repository }}
cancel-in-progress: ${{ github.event_name == 'pull_request' }}
jobs:
build-test:
@@ -18,9 +44,15 @@ jobs:
uses: actions/setup-go@v5
with:
go-version: 1.25
# A PR builds only the host target. The three-platform cross-compile
# (linux/amd64, linux/arm64, darwin/arm64) is the bulk of this job's
# ~6.6min median and no PR consumes the resulting binaries. The
# before-hooks (protogen-go, react-ui, go mod tidy) run either way, so the
# "is the release build broken" signal is unchanged. master and tags still
# build everything.
- name: Run GoReleaser
run: |
make dev-dist
make ${{ github.event_name == 'pull_request' && 'dev-dist-single' || 'dev-dist' }}
launcher-build-darwin:
runs-on: macos-latest
steps:

View File

@@ -22,10 +22,22 @@ jobs:
variable: "TURBOQUANT_VERSION"
branch: "feature/turboquant-kv-cache"
file: "backend/cpp/turboquant/Makefile"
- repository: "PrismML-Eng/llama.cpp"
variable: "BONSAI_VERSION"
branch: "prism"
file: "backend/cpp/bonsai/Makefile"
- repository: "antirez/ds4"
variable: "DS4_VERSION"
branch: "main"
file: "backend/cpp/ds4/Makefile"
- repository: "0xShug0/audio.cpp"
variable: "AUDIO_CPP_VERSION"
branch: "main"
file: "backend/cpp/audio-cpp/Makefile"
- repository: "meituan-longcat/LongCat-Video"
variable: "LONGCAT_VIDEO_VERSION"
branch: "main"
file: "backend/python/longcat-video/Makefile"
- repository: "localai-org/privacy-filter.cpp"
variable: "PRIVACY_FILTER_VERSION"
branch: "master"
@@ -42,10 +54,26 @@ jobs:
variable: "PARAKEET_VERSION"
branch: "master"
file: "backend/go/parakeet-cpp/Makefile"
- repository: "mudler/ced.cpp"
variable: "CED_VERSION"
- repository: "mudler/vllm.cpp"
variable: "VLLM_CPP_VERSION"
branch: "main"
file: "backend/go/vllm-cpp/Makefile"
- repository: "localai-org/moss-transcribe.cpp"
variable: "MOSS_VERSION"
branch: "master"
file: "backend/go/moss-transcribe-cpp/Makefile"
- repository: "localai-org/ced.cpp"
variable: "CED_VERSION"
branch: "main"
file: "backend/go/ced/Makefile"
- repository: "localai-org/voice-detect.cpp"
variable: "VOICEDETECT_VERSION"
branch: "master"
file: "backend/go/voice-detect/Makefile"
- repository: "mudler/face-detect.cpp"
variable: "FACEDETECT_VERSION"
branch: "master"
file: "backend/go/face-detect/Makefile"
- repository: "mudler/depth-anything.cpp"
variable: "DEPTHANYTHING_VERSION"
branch: "master"
@@ -54,6 +82,10 @@ jobs:
variable: "STABLEDIFFUSION_GGML_VERSION"
branch: "master"
file: "backend/go/stablediffusion-ggml/Makefile"
- repository: "localai-org/trellis2cpp"
variable: "TRELLIS2CPP_VERSION"
branch: "pbr-textures"
file: "backend/go/trellis2cpp/Makefile"
- repository: "mudler/go-piper"
variable: "PIPER_VERSION"
branch: "master"
@@ -70,7 +102,7 @@ jobs:
variable: "SAM3_VERSION"
branch: "main"
file: "backend/go/sam3-cpp/Makefile"
- repository: "mudler/rf-detr.cpp"
- repository: "localai-org/rf-detr.cpp"
variable: "RFDETR_VERSION"
branch: "main"
file: "backend/go/rfdetr-cpp/Makefile"
@@ -78,10 +110,14 @@ jobs:
variable: "LOCATEANYTHING_VERSION"
branch: "master"
file: "backend/go/locate-anything-cpp/Makefile"
- repository: "ServeurpersoCom/qwentts.cpp"
variable: "QWEN3TTS_CPP_VERSION"
branch: "master"
file: "backend/go/qwen3-tts-cpp/Makefile"
# qwentts.cpp is held, not tracked: upstream master hangs in synthesis
# (see the comment on QWEN3TTS_CPP_VERSION in the backend Makefile).
# Leaving it here would re-bump the pin back onto the hang every night.
# Restore this entry once the upstream fix lands.
# - repository: "ServeurpersoCom/qwentts.cpp"
# variable: "QWEN3TTS_CPP_VERSION"
# branch: "master"
# file: "backend/go/qwen3-tts-cpp/Makefile"
- repository: "ServeurpersoCom/omnivoice.cpp"
variable: "OMNIVOICE_VERSION"
branch: "master"
@@ -90,11 +126,21 @@ jobs:
variable: "VIBEVOICE_CPP_VERSION"
branch: "master"
file: "backend/go/vibevoice-cpp/Makefile"
- repository: "mudler/magpie-tts.cpp"
variable: "MAGPIETTS_CPP_VERSION"
branch: "main"
file: "backend/go/magpie-tts-cpp/Makefile"
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v7
- name: Bump dependencies 🔧
id: bump
env:
# This job fans out to ~25 parallel matrix entries, all querying
# api.github.com from runner IPs that share the 60/hour anonymous
# rate limit. Authenticating raises it to 1000/hour, which is what
# kept a random handful of these red every night.
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
bash .github/bump_deps.sh ${{ matrix.repository }} ${{ matrix.branch }} ${{ matrix.variable }} ${{ matrix.file }}
{
@@ -131,6 +177,8 @@ jobs:
- uses: actions/checkout@v7
- name: Bump vLLM cu130 wheel pin 🔧
id: bump
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
bash .github/bump_vllm_wheel.sh vllm-project/vllm backend/python/vllm/requirements-cublas13-after.txt VLLM_VERSION
{
@@ -167,6 +215,8 @@ jobs:
- uses: actions/checkout@v7
- name: Bump vllm-metal pin 🔧
id: bump
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
bash .github/bump_vllm_metal.sh vllm-project/vllm-metal backend/python/vllm/install.sh VLLM_METAL_VERSION
{

View File

@@ -15,6 +15,10 @@ jobs:
steps:
- uses: actions/checkout@v7
- name: Bump dependencies 🔧
env:
# Authenticated API calls get 1000 req/hour instead of the 60/hour
# anonymous cap that is shared across every job on the runner's IP.
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
bash .github/bump_docs.sh ${{ matrix.repository }}
- name: Create Pull Request

39
.github/workflows/ci-tools-tests.yaml vendored Normal file
View File

@@ -0,0 +1,39 @@
---
# The packages under .github/ci/ are invisible to `go list ./...`, so neither
# `make lint` nor the repository test run ever touches them. Their specs are
# dead weight until a workflow names each package explicitly.
name: 'CI tool tests'
on:
pull_request:
paths:
- '.github/ci/**'
- '.github/workflows/ci-tools-tests.yaml'
push:
branches:
- master
paths:
- '.github/ci/**'
jobs:
ci-tools:
name: 'Test the .github/ci generators'
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v7
- uses: actions/setup-go@v5
with:
go-version-file: go.mod
cache: false
# The discovery heuristics are the risky part of these tools. A regression
# produces confident, wrong gallery entries, which is worse than no tool.
- name: 'Test the APEX entry generator'
run: go test ./.github/ci/apexentries/
- name: 'Test the variant proposer'
run: go test ./.github/ci/variantproposals/
# Shared by both generators above. Its behaviour is exercised through their
# specs; this step exists so a break in the shared package fails under its
# own name rather than as a puzzling failure in whichever caller ran first.
- name: 'Test the shared gallery editor'
run: go test ./.github/ci/galleryedit/

View File

@@ -0,0 +1,54 @@
name: Propose gallery variant groupings
on:
schedule:
- cron: 0 4 * * 1
workflow_dispatch:
jobs:
variant_proposals:
if: github.repository == 'mudler/LocalAI'
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v7
- uses: actions/setup-go@v5
with:
go-version-file: go.mod
cache: false
# The heuristics are the risky part of this job. A regression in them
# produces confident, wrong proposals, which is worse than no job at all.
- name: Test the proposer
run: go test ./.github/ci/variantproposals/
- name: Propose groupings 🔧
id: propose
run: |
rm -f /tmp/variant-proposals-body.md
go run ./.github/ci/variantproposals \
-index gallery/index.yaml \
-ledger gallery/variant-exclusions.yaml \
-body-out /tmp/variant-proposals-body.md \
-apply
if [ -s /tmp/variant-proposals-body.md ]; then
echo "have_proposals=true" >> "$GITHUB_OUTPUT"
{
echo 'body<<VARIANT_PROPOSAL_BODY_EOF'
cat /tmp/variant-proposals-body.md
echo VARIANT_PROPOSAL_BODY_EOF
} >> "$GITHUB_OUTPUT"
else
echo "have_proposals=false" >> "$GITHUB_OUTPUT"
fi
# No body file means the proposer found nothing. Opening an empty pull
# request every run is how a proposal job gets muted by its reviewers.
- name: Create Pull Request
if: steps.propose.outputs.have_proposals == 'true'
uses: peter-evans/create-pull-request@v8
with:
token: ${{ secrets.UPDATE_BOT_TOKEN }}
push-to-fork: ci-forks/LocalAI
commit-message: 'chore(model-gallery): propose variant groupings'
title: 'chore(model-gallery): propose variant groupings for review'
branch: "propose/variant-groupings"
body: ${{ steps.propose.outputs.body }}
signoff: true

View File

@@ -1,4 +1,4 @@
name: Deploy docs to GitHub Pages
name: Deploy site to GitHub Pages
on:
push:
@@ -6,9 +6,11 @@ on:
- master
paths:
- 'docs/**'
- 'website/**'
- 'gallery/**'
- 'images/**'
- '.github/ci/modelslist.go'
- '.github/ci/gen-redirects.sh'
- '.github/workflows/gh-pages.yml'
workflow_dispatch:
@@ -23,7 +25,20 @@ concurrency:
jobs:
build:
runs-on: ubuntu-latest
# Self-hosted. This workflow is push-to-master + workflow_dispatch only, so
# it never executes pull-request code and a fork cannot reach the runner
# with untrusted changes. The repository guard keeps forks (whose own master
# pushes would otherwise queue forever against a label they do not have) on
# the hosted pool.
#
# Why: the GitHub-hosted pool is shared account-wide and has repeatedly
# starved (2026-07-31: 35 consecutive minutes at zero scheduled jobs, while
# arc-runner-set kept completing work throughout). Publishing the site is
# small, frequent, and must not sit behind a saturated hosted queue.
#
# Needs only git, tar and curl on the runner: setup-go and actions-hugo
# fetch their own toolchains, and no step uses sudo, apt, make or unzip.
runs-on: ${{ github.repository == 'mudler/LocalAI' && 'arc-runner-set' || 'ubuntu-latest' }}
env:
HUGO_VERSION: "0.146.3"
steps:
@@ -49,25 +64,46 @@ jobs:
id: pages
uses: actions/configure-pages@v6
# The gallery page is generated from the model index and shipped as a
# static asset of the docs site, so it has to exist before Hugo runs.
- name: Generate gallery
run: go run ./.github/ci/modelslist.go ./gallery/index.yaml > docs/static/gallery.html
- name: Build site
# Two Hugo sites, one Pages artifact: the main site owns the root,
# the docs site is nested under /docs/.
- name: Build the main site
working-directory: website
run: hugo --minify --baseURL "${{ steps.pages.outputs.base_url }}/"
- name: Build documentation site
working-directory: docs
run: |
mkdir -p layouts/_default
hugo --minify --baseURL "${{ steps.pages.outputs.base_url }}/"
hugo --minify --baseURL "${{ steps.pages.outputs.base_url }}/docs/"
- name: Merge documentation into the main site
run: |
mkdir -p website/public/docs
cp -R docs/public/. website/public/docs/
# Keeps the pre-split URLs alive; see the script header.
- name: Generate legacy URL redirects
run: .github/ci/gen-redirects.sh website/public "${{ steps.pages.outputs.base_url }}/"
- name: Upload artifact
uses: actions/upload-pages-artifact@v5
with:
path: docs/public
path: website/public
deploy:
environment:
name: github-pages
url: ${{ steps.deployment.outputs.page_url }}
runs-on: ubuntu-latest
# Same routing as build: a hosted slot for a ~10s deploy is exactly the kind
# of job that should not block on a starved pool. deploy-pages authenticates
# with the job's OIDC token (id-token: write above), which self-hosted
# runners issue the same way hosted ones do.
runs-on: ${{ github.repository == 'mudler/LocalAI' && 'arc-runner-set' || 'ubuntu-latest' }}
needs: build
steps:
- name: Deploy to GitHub Pages

View File

@@ -3,7 +3,28 @@
on:
pull_request:
# None of these seven image builds can observe a diff confined to these
# paths. Gallery metadata is parsed at runtime and never copied into an
# image; docs and markdown never enter one at all. Gallery content is
# still checked by yaml-check.yml and by
# core/gallery/variants_lint_test.go under 'tests'.
#
# backend/{cpp,go,python}/**: this workflow builds the core image, whose
# only compiled output is `make build` -> `go build ./cmd/local-ai`. The
# per-backend trees are copied into the builder but nothing in them reaches
# the binary or the final stage. backend/backend.proto is deliberately not
# listed: it feeds protogen-go and so does change the binary, and it does
# not live under any of these prefixes, so it still triggers a full run.
# See .agents/ci-caching.md.
paths-ignore:
- 'gallery/**'
- 'docs/**'
- 'examples/**'
- '**/*.md'
- 'backend/cpp/**'
- 'backend/go/**'
- 'backend/python/**'
concurrency:
group: ci-${{ github.event.pull_request.number || github.sha }}-${{ github.repository }}
cancel-in-progress: ${{ github.event_name == 'pull_request' }}
@@ -52,7 +73,7 @@
tag-latest: 'false'
tag-suffix: '-gpu-nvidia-cuda-13'
runs-on: 'ubuntu-latest'
base-image: "ubuntu:22.04"
base-image: "ubuntu:24.04"
makeflags: "--jobs=3 --output-sync=target"
ubuntu-version: '2404'
- build-type: 'hipblas'

View File

@@ -13,8 +13,53 @@
cancel-in-progress: ${{ github.event_name == 'pull_request' }}
jobs:
hipblas-jobs:
# Decide once whether this push can change any image. Gallery metadata is
# fetched at runtime and never baked into an image, and docs/markdown never
# enter one, so a push confined to those paths produces byte-identical
# images. On 2026-07-30, 12 of the 23 queued runs of this workflow were
# commits like "add 1 new model to gallery" or a docs fix, each rebuilding
# all 18 images.
#
# A job-level gate rather than `paths-ignore` on the trigger: paths-ignore
# would also apply to tag pushes, and a tag created on an existing commit
# carries an empty commits list, which would silently skip the release image
# build. Tags short-circuit to "build" below, as does a push whose base
# commit cannot be resolved -- the same run-everything posture the backend
# matrix filter takes for a truncated diff.
changes:
if: github.repository == 'mudler/LocalAI'
runs-on: ubuntu-latest
outputs:
build: ${{ steps.decide.outputs.build }}
steps:
- uses: actions/checkout@v7
with:
fetch-depth: 0
- id: decide
env:
BEFORE: ${{ github.event.before }}
AFTER: ${{ github.sha }}
run: |
set -euo pipefail
emit() { echo "$2"; echo "build=$1" >> "$GITHUB_OUTPUT"; exit 0; }
case "${GITHUB_REF}" in
refs/tags/*) emit true "tag push: building every image" ;;
esac
if [ -z "${BEFORE:-}" ] || [ "${BEFORE}" = "0000000000000000000000000000000000000000" ] \
|| ! git cat-file -e "${BEFORE}^{commit}" 2>/dev/null; then
emit true "no resolvable base commit: building every image"
fi
files="$(git diff --name-only "${BEFORE}" "${AFTER}")"
echo "changed files:"; echo "${files:-<none>}"
[ -z "${files}" ] && emit true "empty diff: building every image"
if echo "${files}" | grep -qvE '^(gallery/|docs/|examples/)|\.md$'; then
emit true "push touches image-visible content: building"
fi
emit false "only gallery/docs/markdown changed: images identical, skipping"
hipblas-jobs:
needs: changes
if: github.repository == 'mudler/LocalAI' && needs.changes.outputs.build == 'true'
uses: ./.github/workflows/image_build.yml
with:
tag-latest: ${{ matrix.tag-latest }}
@@ -47,7 +92,8 @@
ubuntu-codename: 'noble'
core-image-build:
if: github.repository == 'mudler/LocalAI'
needs: changes
if: github.repository == 'mudler/LocalAI' && needs.changes.outputs.build == 'true'
uses: ./.github/workflows/image_build.yml
with:
tag-latest: ${{ matrix.tag-latest }}
@@ -113,7 +159,7 @@
tag-latest: 'auto'
tag-suffix: '-gpu-nvidia-cuda-13'
runs-on: 'ubuntu-latest'
base-image: "ubuntu:22.04"
base-image: "ubuntu:24.04"
skip-drivers: 'false'
makeflags: "--jobs=4 --output-sync=target"
ubuntu-version: '2404'
@@ -155,8 +201,8 @@
# merge whenever any matrix cell of the parent build fails or is
# cancelled. Same fix as backend.yml's merge jobs — we still want to
# publish the manifest list for tag-suffixes whose legs all succeeded.
if: ${{ !cancelled() && github.repository == 'mudler/LocalAI' }}
needs: core-image-build
if: ${{ !cancelled() && github.repository == 'mudler/LocalAI' && needs.changes.outputs.build == 'true' }}
needs: [changes, core-image-build]
uses: ./.github/workflows/image_merge.yml
with:
tag-latest: 'auto'
@@ -168,8 +214,8 @@
quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
gpu-vulkan-image-merge:
if: ${{ !cancelled() && github.repository == 'mudler/LocalAI' }}
needs: core-image-build
if: ${{ !cancelled() && github.repository == 'mudler/LocalAI' && needs.changes.outputs.build == 'true' }}
needs: [changes, core-image-build]
uses: ./.github/workflows/image_merge.yml
with:
tag-latest: 'auto'
@@ -187,8 +233,8 @@
# Each merge job needs only its parent build matrix and is filtered by
# tag-suffix in image_merge.yml's artifact-download pattern.
gpu-nvidia-cuda-12-image-merge:
if: ${{ !cancelled() && github.repository == 'mudler/LocalAI' }}
needs: core-image-build
if: ${{ !cancelled() && github.repository == 'mudler/LocalAI' && needs.changes.outputs.build == 'true' }}
needs: [changes, core-image-build]
uses: ./.github/workflows/image_merge.yml
with:
tag-latest: 'auto'
@@ -200,8 +246,8 @@
quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
gpu-nvidia-cuda-13-image-merge:
if: ${{ !cancelled() && github.repository == 'mudler/LocalAI' }}
needs: core-image-build
if: ${{ !cancelled() && github.repository == 'mudler/LocalAI' && needs.changes.outputs.build == 'true' }}
needs: [changes, core-image-build]
uses: ./.github/workflows/image_merge.yml
with:
tag-latest: 'auto'
@@ -213,8 +259,8 @@
quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
gpu-intel-image-merge:
if: ${{ !cancelled() && github.repository == 'mudler/LocalAI' }}
needs: core-image-build
if: ${{ !cancelled() && github.repository == 'mudler/LocalAI' && needs.changes.outputs.build == 'true' }}
needs: [changes, core-image-build]
uses: ./.github/workflows/image_merge.yml
with:
tag-latest: 'auto'
@@ -226,8 +272,8 @@
quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
gpu-hipblas-image-merge:
if: ${{ !cancelled() && github.repository == 'mudler/LocalAI' }}
needs: hipblas-jobs
if: ${{ !cancelled() && github.repository == 'mudler/LocalAI' && needs.changes.outputs.build == 'true' }}
needs: [changes, hipblas-jobs]
uses: ./.github/workflows/image_merge.yml
with:
tag-latest: 'auto'
@@ -239,8 +285,8 @@
quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
nvidia-l4t-arm64-image-merge:
if: ${{ !cancelled() && github.repository == 'mudler/LocalAI' }}
needs: gh-runner
if: ${{ !cancelled() && github.repository == 'mudler/LocalAI' && needs.changes.outputs.build == 'true' }}
needs: [changes, gh-runner]
uses: ./.github/workflows/image_merge.yml
with:
tag-latest: 'auto'
@@ -252,8 +298,8 @@
quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
nvidia-l4t-arm64-cuda-13-image-merge:
if: ${{ !cancelled() && github.repository == 'mudler/LocalAI' }}
needs: gh-runner
if: ${{ !cancelled() && github.repository == 'mudler/LocalAI' && needs.changes.outputs.build == 'true' }}
needs: [changes, gh-runner]
uses: ./.github/workflows/image_merge.yml
with:
tag-latest: 'auto'
@@ -265,7 +311,8 @@
quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
gh-runner:
if: github.repository == 'mudler/LocalAI'
needs: changes
if: github.repository == 'mudler/LocalAI' && needs.changes.outputs.build == 'true'
uses: ./.github/workflows/image_build.yml
with:
tag-latest: ${{ matrix.tag-latest }}

View File

@@ -8,6 +8,9 @@ on:
- 'examples/**'
- 'README.md'
- '**/*.md'
# golangci-lint runs new-from-merge-base, so a diff with no touched Go
# lines can only ever be a no-op. See .agents/ci-caching.md.
- 'gallery/**'
push:
branches:
- master
@@ -18,8 +21,41 @@ concurrency:
jobs:
golangci-lint:
# Self-hosted for PUSH only, and only in the canonical repo.
#
# This workflow also runs on pull_request, which for a fork PR means
# executing untrusted contributor code. That must never land on a
# self-hosted runner, so anything that is not a push to mudler/LocalAI stays
# on the ephemeral hosted pool. Pushes to master are trusted code that has
# already been reviewed and merged.
#
# Why at all: the hosted pool is shared account-wide and starved for 35
# straight minutes on 2026-07-31 while arc-runner-set kept completing jobs.
# Lint is small and runs on every commit, so it is a good candidate to move
# off the contended pool.
# REVERTED to hosted: the arc-runner-set image has git, curl, unzip, tar,
# ldd and python3, but NOT make (nor gcc). Measured on run 30637392862,
# where the preflight below named both. Re-route here once the runner image
# ships a C toolchain and make; the preflight stays so the next attempt
# fails by name in one second instead of opaquely mid-build.
runs-on: ubuntu-latest
steps:
- name: Preflight - required host tools
# The hosted images ship these; a self-hosted container image may not.
# Check up front so a missing tool reports itself by name instead of
# surfacing as an opaque failure inside `make protogen-go` (which needs
# curl + unzip for protoc) or `make lint`.
run: |
missing=""
for t in git curl unzip make tar; do
command -v "$t" >/dev/null 2>&1 || missing="$missing $t"
done
echo "runner: ${RUNNER_NAME:-unknown} os: $(uname -sm)"
if [ -n "$missing" ]; then
echo "::error::missing required tools on this runner:$missing"
exit 1
fi
echo "all required tools present"
- uses: actions/checkout@v7
with:
# Full history so golangci-lint's new-from-merge-base can reach
@@ -46,3 +82,51 @@ jobs:
touch core/http/react-ui/dist/index.html
- name: lint
run: make lint
build-scripts:
# The image packaging scripts encode invariants that only surface inside a
# container build (a missing transitive dep, a partial cuDNN family). Their
# shell tests need nothing but bash + gcc + ldd, so run them on every PR
# rather than waiting on a multi-GB cross-arch backend image build.
#
# Push-only self-hosted routing, same fork-safety reasoning as
# golangci-lint above.
# REVERTED to hosted: the arc-runner-set image has git, curl, unzip, tar,
# ldd and python3, but NOT make (nor gcc). Measured on run 30637392862,
# where the preflight below named both. Re-route here once the runner image
# ships a C toolchain and make; the preflight stays so the next attempt
# fails by name in one second instead of opaquely mid-build.
runs-on: ubuntu-latest
steps:
- name: Preflight - required host tools
# This job additionally needs a C toolchain: the packaging-script tests
# compile a throwaway binary and inspect it with ldd.
run: |
missing=""
for t in git make gcc ldd python3; do
command -v "$t" >/dev/null 2>&1 || missing="$missing $t"
done
echo "runner: ${RUNNER_NAME:-unknown} os: $(uname -sm)"
if [ -n "$missing" ]; then
echo "::error::missing required tools on this runner:$missing"
exit 1
fi
echo "all required tools present"
- uses: actions/checkout@v7
- name: run packaging script tests
run: make test-build-scripts
# The backend matrix path filter fails silently: a miss emits an empty
# matrix, every job goes green, and the change reaches no image (#10946).
# Its tests need only node, so they ride along with this job.
- uses: actions/setup-node@v7
with:
node-version: '20'
- name: run CI script tests
run: make test-ci-scripts
# The shared python backend helpers (Options[] parsing, engine-arg
# mapping, model reference resolution) are stdlib-only, so their tests
# ride along here instead of waiting on a multi-GB backend image build.
- name: run shared python backend helper tests
run: make test-python-helpers

View File

@@ -0,0 +1,69 @@
---
name: 'realtime-conformance'
# Verifies the realtime state-machine implementations conform to their formal
# designs (docs/design/realtime-state-machines.md, formal-verification/). BOTH
# layers are enforced and the gate is fail-closed: the Go conformance layer
# (respcoord + turncoord transition/rapid tests under -race) AND the FizzBee model check of
# the authoritative specs. FizzBee is pinned + checksum-verified
# (formal-verification/fizzbee.sha256), so a failed install fails the job rather
# than silently skipping verification.
on:
pull_request:
paths:
- 'core/http/endpoints/openai/coordinator/**'
- 'core/http/endpoints/openai/respcoord/**'
- 'core/http/endpoints/openai/turncoord/**'
- 'core/http/endpoints/openai/conncoord/**'
- 'core/http/endpoints/openai/compactcoord/**'
- 'core/http/endpoints/openai/ttscoord/**'
- 'formal-verification/**'
- 'scripts/realtime-conformance.sh'
- 'scripts/install-fizzbee.sh'
- '.github/workflows/realtime-conformance.yml'
push:
branches:
- master
paths:
- 'core/http/endpoints/openai/coordinator/**'
- 'core/http/endpoints/openai/respcoord/**'
- 'core/http/endpoints/openai/turncoord/**'
- 'core/http/endpoints/openai/conncoord/**'
- 'core/http/endpoints/openai/compactcoord/**'
- 'core/http/endpoints/openai/ttscoord/**'
- 'formal-verification/**'
- 'scripts/realtime-conformance.sh'
concurrency:
group: realtime-conformance-${{ github.event.pull_request.number || github.sha }}-${{ github.repository }}
cancel-in-progress: ${{ github.event_name == 'pull_request' }}
jobs:
conformance:
runs-on: ubuntu-latest
strategy:
matrix:
go-version: ['1.26.x']
steps:
- name: Clone
uses: actions/checkout@v7
- name: Setup Go ${{ matrix.go-version }}
uses: actions/setup-go@v5
with:
go-version: ${{ matrix.go-version }}
cache: false
- name: Cache FizzBee
uses: actions/cache@v6
with:
path: .tools/fizzbee
key: fizzbee-v0.5.2-${{ runner.os }}-${{ hashFiles('formal-verification/fizzbee.sha256') }}
- name: Install FizzBee (pinned, checksum-verified)
# No `|| true`: a failed/forged download must fail the job, not silently
# drop the design verification. install-fizzbee.sh is a no-op if the
# cached binary is already present and valid.
run: ./scripts/install-fizzbee.sh
- name: Run conformance gate (fail-closed)
# No skip env: both the Go conformance and the FizzBee model check are
# required. The gate auto-detects .tools/fizzbee/fizz.
run: make test-realtime-conformance

View File

@@ -0,0 +1,44 @@
name: Refresh site counters
# The landing page shows a star count, a contributor count and a release
# count. They were typed in by hand, so they drifted the moment somebody
# forgot. This pulls the real numbers once a week and commits them only when
# they have actually moved, which in turn triggers the usual Pages deploy.
on:
schedule:
# Mondays, 06:17 UTC. Off the hour on purpose, since the scheduler queues
# everything that asks for :00 and drops what it cannot run.
- cron: '17 6 * * 1'
workflow_dispatch:
permissions:
contents: write
concurrency:
group: refresh-site-counters
cancel-in-progress: false
jobs:
refresh:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Read the counts off the GitHub API
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: ./.github/ci/refresh-site-counters.sh
- name: Commit only if something moved
run: |
if git diff --quiet -- website/data/stats.yaml; then
echo "counters unchanged, nothing to commit"
exit 0
fi
git diff --unified=0 -- website/data/stats.yaml
git config user.name "github-actions[bot]"
git config user.email "41898282+github-actions[bot]@users.noreply.github.com"
git add website/data/stats.yaml
git commit -m "chore(website): refresh the counters"
git push

View File

@@ -24,6 +24,11 @@ jobs:
args: release --clean
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
MACOS_SIGN_P12: ${{ secrets.MACOS_CERTIFICATE }}
MACOS_SIGN_PASSWORD: ${{ secrets.MACOS_CERTIFICATE_PWD }}
MACOS_NOTARY_KEY: ${{ secrets.MACOS_NOTARY_KEY }}
MACOS_NOTARY_KEY_ID: ${{ secrets.MACOS_NOTARY_KEY_ID }}
MACOS_NOTARY_ISSUER_ID: ${{ secrets.MACOS_NOTARY_ISSUER_ID }}
launcher-build-darwin:
runs-on: macos-latest
steps:
@@ -35,9 +40,19 @@ jobs:
uses: actions/setup-go@v5
with:
go-version: 1.23
- name: Build launcher for macOS ARM64
run: |
make build-launcher-darwin
- name: Import signing certificate
env:
MACOS_CERTIFICATE: ${{ secrets.MACOS_CERTIFICATE }}
MACOS_CERTIFICATE_PWD: ${{ secrets.MACOS_CERTIFICATE_PWD }}
MACOS_CI_KEYCHAIN_PWD: ${{ secrets.MACOS_CI_KEYCHAIN_PWD }}
run: bash contrib/macos/sign-and-notarize.sh import-cert
- name: Build, sign and notarize the DMG
env:
MACOS_SIGN_IDENTITY: ${{ secrets.MACOS_SIGN_IDENTITY }}
MACOS_NOTARY_KEY: ${{ secrets.MACOS_NOTARY_KEY }}
MACOS_NOTARY_KEY_ID: ${{ secrets.MACOS_NOTARY_KEY_ID }}
MACOS_NOTARY_ISSUER_ID: ${{ secrets.MACOS_NOTARY_ISSUER_ID }}
run: make release-launcher-darwin
- name: Upload DMG to Release
uses: softprops/action-gh-release@v3
with:

View File

@@ -7,6 +7,19 @@ on:
schedule:
- cron: '0 0 * * 0'
# `push:` is deliberately unfiltered, so this fires on every push to every
# branch and there is no pull_request event to key on -- the usual
# `github.event.pull_request.number || github.sha` idiom used elsewhere would
# key on the unique-per-commit sha and dedup nothing. Group on the ref instead
# so successive pushes to the same feature branch supersede one another.
#
# Cancelling is safe here: the only output is a SARIF upload, and code scanning
# tracks the latest result per ref, so a superseded scan has nothing to lose.
# master is excluded anyway -- every commit on master gets its own scan.
concurrency:
group: ci-secscan-${{ github.ref }}-${{ github.repository }}
cancel-in-progress: ${{ github.ref != 'refs/heads/master' }}
jobs:
tests:
runs-on: ubuntu-latest
@@ -15,9 +28,9 @@ jobs:
steps:
- name: Checkout Source
uses: actions/checkout@v7
if: ${{ github.actor != 'dependabot[bot]' }}
if: ${{ !github.repository.fork && github.actor != 'dependabot[bot]' }}
- name: Run Gosec Security Scanner
if: ${{ github.actor != 'dependabot[bot]' }}
if: ${{ !github.repository.fork && github.actor != 'dependabot[bot]' }}
uses: securego/gosec@v2.27.1
with:
# we let the report trigger content trigger a failure using the GitHub Security features.
@@ -26,7 +39,7 @@ jobs:
# noise, G104 unhandled errors) are inherent to that upstream code, not ours to rewrite.
args: '-no-fail -exclude-dir=backend/go/supertonic -fmt sarif -out results.sarif ./...'
- name: Upload SARIF file
if: ${{ github.actor != 'dependabot[bot]' }}
if: ${{ !github.repository.fork && github.actor != 'dependabot[bot]' }}
uses: github/codeql-action/upload-sarif@v4
with:
# Path to SARIF file relative to the root of the repository

View File

@@ -11,7 +11,7 @@ jobs:
if: github.repository == 'mudler/LocalAI'
runs-on: ubuntu-latest
steps:
- uses: actions/stale@eb5cf3af3ac0a1aa4c9c45633dd1ae542a27a899 # v9
- uses: actions/stale@1e223db275d687790206a7acac4d1a11bd6fe629 # v9
with:
stale-issue-message: 'This issue is stale because it has been open 90 days with no activity. Remove stale label or comment or this will be closed in 5 days.'
stale-pr-message: 'This PR is stale because it has been open 90 days with no activity. Remove stale label or comment or this will be closed in 10 days.'

View File

@@ -37,6 +37,8 @@ jobs:
sglang: ${{ steps.detect.outputs.sglang }}
acestep-cpp: ${{ steps.detect.outputs.acestep-cpp }}
qwen3-tts-cpp: ${{ steps.detect.outputs.qwen3-tts-cpp }}
magpie-tts-cpp: ${{ steps.detect.outputs.magpie-tts-cpp }}
trellis2cpp: ${{ steps.detect.outputs.trellis2cpp }}
rfdetr-cpp: ${{ steps.detect.outputs.rfdetr-cpp }}
locate-anything-cpp: ${{ steps.detect.outputs.locate-anything-cpp }}
vibevoice-cpp: ${{ steps.detect.outputs.vibevoice-cpp }}
@@ -587,7 +589,7 @@ jobs:
with:
go-version: '1.25.4'
- name: Setup Node.js
uses: actions/setup-node@v6
uses: actions/setup-node@v7
with:
node-version: '22'
- name: Build sherpa-onnx backend image and run realtime e2e tests
@@ -866,6 +868,38 @@ jobs:
- name: Test qwen3-tts-cpp
run: |
make --jobs=5 --output-sync=target -C backend/go/qwen3-tts-cpp test
tests-magpie-tts-cpp:
needs: detect-changes
if: needs.detect-changes.outputs.magpie-tts-cpp == 'true' || needs.detect-changes.outputs.run-all == 'true'
runs-on: ubuntu-latest
steps:
- name: Clone
uses: actions/checkout@v7
with:
submodules: true
- name: Dependencies
run: |
sudo apt-get update
sudo apt-get install -y build-essential cmake curl libopenblas-dev ffmpeg
- name: Setup Go
uses: actions/setup-go@v5
- name: Display Go version
run: go version
- name: Proto Dependencies
run: |
# Install protoc
curl -L -s https://github.com/protocolbuffers/protobuf/releases/download/v26.1/protoc-26.1-linux-x86_64.zip -o protoc.zip && \
unzip -j -d /usr/local/bin protoc.zip bin/protoc && \
rm protoc.zip
go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.2
go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@1958fcbe2ca8bd93af633f11e97d44e567e945af
PATH="$PATH:$HOME/go/bin" make protogen-go
- name: Build magpie-tts-cpp
run: |
make --jobs=5 --output-sync=target -C backend/go/magpie-tts-cpp
- name: Test magpie-tts-cpp
run: |
make --jobs=5 --output-sync=target -C backend/go/magpie-tts-cpp test
# Per-backend smoke for rfdetr-cpp: builds the .so + Go binary and runs
# `make -C backend/go/rfdetr-cpp test`. test.sh fetches the small (~20 MB)
# rfdetr-nano-q8_0 GGUF from the published mudler/rfdetr-cpp-nano HF repo
@@ -902,6 +936,41 @@ jobs:
- name: Test rfdetr-cpp
run: |
make --jobs=5 --output-sync=target -C backend/go/rfdetr-cpp test
# Weight-free packaged-backend smoke for trellis2cpp. Starting run.sh loads
# libtrellis2 + ggml, resolves the complete C ABI (including remeshing), and
# answers gRPC Health without downloading or loading the multi-GB model set.
tests-trellis2cpp:
needs: detect-changes
if: needs.detect-changes.outputs.trellis2cpp == 'true' || needs.detect-changes.outputs.run-all == 'true'
runs-on: ubuntu-latest
timeout-minutes: 90
steps:
- name: Clone
uses: actions/checkout@v7
with:
submodules: true
- name: Dependencies
run: |
sudo apt-get update
sudo apt-get install -y build-essential cmake curl unzip
- name: Setup Go
uses: actions/setup-go@v5
- name: Display Go version
run: go version
- name: Proto Dependencies
run: |
curl -L -s https://github.com/protocolbuffers/protobuf/releases/download/v26.1/protoc-26.1-linux-x86_64.zip -o protoc.zip && \
unzip -j -d /usr/local/bin protoc.zip bin/protoc && \
rm protoc.zip
go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.2
go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@1958fcbe2ca8bd93af633f11e97d44e567e945af
PATH="$PATH:$HOME/go/bin" make protogen-go
- name: Build trellis2cpp
run: |
make --jobs=5 --output-sync=target -C backend/go/trellis2cpp
- name: Test trellis2cpp
run: |
make --jobs=5 --output-sync=target -C backend/go/trellis2cpp test
# Per-backend e2e for locate-anything-cpp: builds the .so + Go binary and
# runs `make -C backend/go/locate-anything-cpp test`. test.sh fetches the
# locate-anything-q8_0 GGUF (~6.3 GB, NVIDIA LocateAnything-3B) from the
@@ -1008,7 +1077,11 @@ jobs:
# image + working dir.
tests-vibevoice-cpp-grpc-transcription:
needs: detect-changes
if: needs.detect-changes.outputs.vibevoice-cpp == 'true' || needs.detect-changes.outputs.run-all == 'true'
# Skip on release tag pushes: the ASR Q4_K model is ~10 GB and cannot be
# pulled from HF within the inner `go test -timeout 30m` budget on a CI
# runner, so every tag build hung and timed out. Still runs on PRs/branch
# pushes that touch vibevoice-cpp so regressions are caught off the release path.
if: (needs.detect-changes.outputs.vibevoice-cpp == 'true' || needs.detect-changes.outputs.run-all == 'true') && !startsWith(github.ref, 'refs/tags/')
runs-on: bigger-runner
timeout-minutes: 150
steps:

View File

@@ -24,8 +24,13 @@ jobs:
uses: actions/checkout@v7
with:
submodules: true
- name: Free disk space
uses: ./.github/actions/free-disk-space
# No free-disk-space step here on purpose. That action exists to make room
# for docker buildx layers, and this job runs no buildx step. It was also
# sized for a `make test` that downloaded multi-GB GGUF/whisper fixtures
# and built llama-cpp/whisper/stablediffusion-ggml; after the test-suite
# reorg it does neither (see the Makefile test target). It cost ~3min of
# every run, and its tool-cache:true wipe also forced setup-go and
# setup-node to re-download toolchains that ship preinstalled.
- name: Setup Go ${{ matrix.go-version }}
uses: actions/setup-go@v5
with:
@@ -48,7 +53,7 @@ jobs:
sudo apt-get update
sudo apt-get install curl ffmpeg libopus-dev
- name: Setup Node.js
uses: actions/setup-node@v6
uses: actions/setup-node@v7
with:
node-version: '22'
- name: Build React UI
@@ -100,7 +105,7 @@ jobs:
brew install protobuf grpc make protoc-gen-go protoc-gen-go-grpc libomp llvm opus ffmpeg
pip install --user --no-cache-dir grpcio-tools grpcio
- name: Setup Node.js
uses: actions/setup-node@v6
uses: actions/setup-node@v7
with:
node-version: '22'
- name: Build React UI
@@ -121,3 +126,19 @@ jobs:
detached: true
connect-timeout-seconds: 180
limit-access-to-actor: true
# Fast standalone unit tests for the backends' pure C++ helpers - currently the
# llama-cpp message reconstruction (backend/cpp/llama-cpp/message_content.h),
# which guards the OpenAI chat content normalization (mudler/LocalAI#10524,
# #7324, #7528). The runner discovers every *_test.cpp under backend/cpp/, so
# new pure-C++ unit tests are picked up with no CI changes. These need only the
# C++ stdlib + nlohmann/json, so they run on every PR without the full
# llama.cpp + gRPC backend build. (The same suite is also wired as an opt-in
# CMake/ctest target, -DLLAMA_GRPC_BUILD_TESTS=ON, for in-backend-build runs.)
tests-backend-cpp:
runs-on: ubuntu-latest
steps:
- name: Clone
uses: actions/checkout@v7
- name: Run backend C++ unit tests
run: make test-backend-cpp

View File

@@ -3,6 +3,14 @@ name: 'E2E Backend Tests'
on:
pull_request:
# The e2e suite drives backends over gRPC directly and reads none of these
# paths, so a diff confined to them cannot move it.
# See .agents/ci-caching.md.
paths-ignore:
- 'gallery/**'
- 'docs/**'
- 'examples/**'
- '**/*.md'
push:
branches:
- master
@@ -47,7 +55,7 @@ jobs:
sudo apt-get update
sudo apt-get install -y build-essential libopus-dev
- name: Setup Node.js
uses: actions/setup-node@v6
uses: actions/setup-node@v7
with:
node-version: '22'
- name: Build React UI

View File

@@ -34,7 +34,7 @@ jobs:
go-version: ${{ matrix.go-version }}
cache: false
- name: Setup Node.js
uses: actions/setup-node@v6
uses: actions/setup-node@v7
with:
node-version: '22'
- name: Setup Bun

View File

@@ -1,6 +1,11 @@
name: 'Yamllint GitHub Actions'
on:
- pull_request
concurrency:
group: ci-yamllint-${{ github.event.pull_request.number || github.sha }}-${{ github.repository }}
cancel-in-progress: ${{ github.event_name == 'pull_request' }}
jobs:
yamllint:
name: 'Yamllint'

32
.gitignore vendored
View File

@@ -30,6 +30,7 @@ LocalAI
# Go backend packages whose main lives under backend/go/.
/cloud-proxy
/local-store
/valkey-store
# prevent above rules from omitting the helm chart
!charts/*
# prevent above rules from omitting the api/localai folder
@@ -41,7 +42,12 @@ models/*
test-models/
test-dir/
tests/e2e-aio/backends
mock-backend
# The mock backend binary built by `make build-mock-backend`. Anchored to its
# full path: a bare `mock-backend` also matched the *directory* holding the
# source, so git would not descend into it and adding a file there needed -f.
# tests/e2e/mock-backend/.gitignore covers the same binary; kept here too so
# the artifact stays ignored if that scoped file is ever removed.
/tests/e2e/mock-backend/mock-backend
release/
@@ -56,6 +62,11 @@ prepare
/ggml-metal.metal
docs/static/gallery.html
# Hugo build output and lock files (docs/ and website/)
docs/public/
website/public/
.hugo_build.lock
# Protobuf generated files
*.pb.go
*pb2.py
@@ -94,3 +105,22 @@ core/http/react-ui/test-results/
# SDD / brainstorm scratch (agent-driven development)
.superpowers/
# Local Apple signing material (never commit)
.certs/
# Pinned dev tools (e.g. FizzBee for the realtime-conformance gate)
.tools/
# FizzBee model-check artifacts: the parser emits <spec>.json next to each
# .fizz and the checker writes run dirs under out/. Both are regenerated by
# the realtime-conformance gate; only the .fizz sources are authoritative.
formal-verification/*.json
formal-verification/out/
# `go build ./.github/ci/apexentries` drops a binary of the package name into
# whatever directory it runs in, one `git add -A` away from being committed.
# Both paths are anchored: an unanchored `apexentries` would also match the
# package directory itself and untrack the source.
/apexentries
/.github/ci/apexentries/apexentries

View File

@@ -9,7 +9,8 @@ source:
enabled: true
name_template: '{{ .ProjectName }}-{{ .Tag }}-source'
builds:
- main: ./cmd/local-ai
- id: local-ai
main: ./cmd/local-ai
env:
- CGO_ENABLED=0
ldflags:
@@ -35,3 +36,19 @@ snapshot:
version_template: "{{ .Tag }}-next"
changelog:
use: github-native
# Sign + notarize the macOS server binary via the quill backend (runs on Linux,
# no macOS runner needed). Disabled automatically when MACOS_SIGN_P12 is unset
# (forks / PRs), so those builds stay unsigned and green.
notarize:
macos:
- enabled: '{{ isEnvSet "MACOS_SIGN_P12" }}'
ids:
- local-ai
sign:
certificate: "{{.Env.MACOS_SIGN_P12}}"
password: "{{.Env.MACOS_SIGN_PASSWORD}}"
notarize:
issuer_id: "{{.Env.MACOS_NOTARY_ISSUER_ID}}"
key_id: "{{.Env.MACOS_NOTARY_KEY_ID}}"
key: "{{.Env.MACOS_NOTARY_KEY}}"
wait: true

View File

@@ -0,0 +1,6 @@
{
"files": ["core/http/react-ui/index.html"],
"insertBefore": "</body>",
"commentSyntax": "html",
"cspChecked": true
}

48
ADOPTERS.md Normal file
View File

@@ -0,0 +1,48 @@
# Adopters
Organisations running LocalAI, listed by the people who run it.
If your organisation uses LocalAI and you are happy to say so publicly, open a
pull request adding a row to the table below. That pull request is how we know
we have permission to list you, which is why we do not add anybody ourselves.
You do not need to be a large company, and you do not need to disclose anything
sensitive. A sentence on what you use it for is more useful to other readers
than a logo.
## How to add yourself
1. Add a row to the table, in alphabetical order.
2. Use your organisation's usual name and a link to your site.
3. Say briefly what you use LocalAI for, and whether it is in production.
4. Open the pull request from an account that makes it plausible you speak for
the organisation, or say in the description who you are. We may ask.
To be removed, open a pull request deleting your row, or email
[info@localai.io](mailto:info@localai.io). We will not ask why.
## Who is using LocalAI
<!-- Keep alphabetical. Columns: Organisation | What for | Status -->
| Organisation | What they use it for | Status |
|---|---|---|
| _Your organisation here_ | | |
## What this list is not
This is not a list of everyone who has ever starred the repository, and it is
not a list of the employers of people who have contributed a patch. Both of
those are easy to scrape and neither means what a logo wall implies.
The website shows two separate things, both of which are checkable without
anybody's permission:
- **Engineers from these companies have contributed code.** Evidence is the
commit history plus the employer on that person's public GitHub profile. It
is a claim about a person, not about their employer.
- **These projects integrate LocalAI.** Evidence is a reference to LocalAI in
that project's own repository or documentation.
Those two lists live in [`website/data/ecosystem.yaml`](website/data/ecosystem.yaml).
This file is the third, stronger thing: organisations that chose to say so.

View File

@@ -32,16 +32,19 @@ LocalAI follows the Linux kernel project's [guidelines for AI coding assistants]
| [.agents/adding-gallery-models.md](.agents/adding-gallery-models.md) | Adding GGUF models from HuggingFace to the model gallery |
| [.agents/localai-assistant-mcp.md](.agents/localai-assistant-mcp.md) | LocalAI Assistant chat modality — adding admin tools to the in-process MCP server, editing skill prompts, keeping REST + MCP + skills in sync |
| [.agents/backend-signing.md](.agents/backend-signing.md) | Backend OCI image signing (keyless cosign + sigstore-go) — producer-side CI setup, consumer-side gallery `verification:` block, strict mode (`LOCALAI_REQUIRE_BACKEND_INTEGRITY`), revocation via `not_before` |
| [.agents/preparing-a-release.md](.agents/preparing-a-release.md) | Cutting a release: PR labels, `RELEASE_NOTES_vX.Y.Z.md`, the blog post under `website/content/blog/`, and the demo clips under `website/static/media/` |
## Quick Reference
- **Git hooks & coverage gates**: Run `make install-hooks` once per clone so the pre-commit lint + coverage gates run. **Never bypass them with `git commit --no-verify`, and never lower a coverage baseline or widen a gate's tolerance to turn a red gate green** — the coverage ratchet only moves up. If a change drops coverage, add tests to raise it (e.g. render-smoke specs). See [.agents/building-and-testing.md](.agents/building-and-testing.md).
- **Coverage gates**: Never lower a coverage baseline or widen a gate's tolerance to turn a red gate green — the coverage ratchet only moves up. If a change drops coverage, add tests to raise it (e.g. render-smoke specs). See [.agents/building-and-testing.md](.agents/building-and-testing.md).
- **Logging**: Use `github.com/mudler/xlog` (same API as slog)
- **Go style**: Prefer `any` over `interface{}`
- **Comments**: Explain *why*, not *what*
- **Docs**: Update `docs/content/` when adding features or changing config
- **Docs (docs-with-code rule)**: When you change user-facing behavior (API endpoints, CLI flags, config keys, or features), update the corresponding page under `docs/content/` in the SAME change, not as a follow-up. A user-facing change without a matching docs update is incomplete. See also the documentation conventions in [.agents/coding-style.md](.agents/coding-style.md).
- **New API endpoints**: LocalAI advertises its capability surface in several independent places — swagger `@Tags`, `/api/instructions` registry, auth `RouteFeatureRegistry`, React UI `capabilities.js`, docs. Read [.agents/api-endpoints-and-auth.md](.agents/api-endpoints-and-auth.md) and follow its checklist — missing any surface means clients, admins, and the UI won't know the endpoint exists.
- **Admin endpoints → MCP tool**: every admin endpoint that an admin would manage conversationally (install/list/edit/toggle/upgrade) MUST also be exposed as an MCP tool in `pkg/mcp/localaitools/`. The LocalAI Assistant chat modality and the standalone `local-ai mcp-server` consume that package; drift between REST and MCP is a real risk. Read [.agents/localai-assistant-mcp.md](.agents/localai-assistant-mcp.md) — the `TestToolHTTPRouteMappingComplete` test fails until you wire the new tool and update the route map.
- **Releases ship with a post and clips**: a release is not done at the tag. It needs labelled PRs, `RELEASE_NOTES_vX.Y.Z.md`, a blog post under `website/content/blog/`, and a short demo clip in `website/static/media/` for each notable feature. See [.agents/preparing-a-release.md](.agents/preparing-a-release.md).
- **Build**: Inspect `Makefile` and `.github/workflows/` — ask the user before running long builds
- **Backend OS coverage**: a new backend must target every OS it can build for, not just Linux. `.github/backend-matrix.yml` has two matrices — `include:` (Linux) and `includeDarwin:` (macOS / Apple Silicon). Most C/C++/GGML and many Python backends build on Darwin too — wire the `includeDarwin` entry + `backend/index.yaml` `metal:` entries, or say in the PR why an OS is unsupported. See the darwin checklist in [.agents/adding-backends.md](.agents/adding-backends.md).
- **Gallery variant ranking**: a gallery entry can declare `variants` (alternative builds of the same weights), and LocalAI ranks the ones a host can run by engine preference first, size second. A new backend that should be preferred on some hardware must be listed in `engineNamePreferenceRules` in `pkg/system/capabilities.go`; the sibling `backendBuildTagPreferenceRules` speaks build tags rather than engine names, and using the wrong table matches nothing without erroring. See [.agents/adding-backends.md](.agents/adding-backends.md).
- **UI**: The active UI is the React app in `core/http/react-ui/`. The older Alpine.js/HTML UI in `core/http/static/` is pending deprecation — all new UI work goes in the React UI

View File

@@ -198,7 +198,6 @@ For AI-assisted development, see [`AGENTS.md`](AGENTS.md) (or the equivalent [`C
- Prefer modern Go idioms — for example, use `any` instead of `interface{}`.
- Use [`golangci-lint`](https://golangci-lint.run) to catch common issues before submitting a PR.
- Run `make install-hooks` once per clone to enable the pre-commit hook: Go changes run `make lint` + the coverage gate (`make test-coverage-check`); `core/http/react-ui/` changes run the Playwright e2e suite (`make test-ui`). Bypass a single commit with `git commit --no-verify`.
- Use [`github.com/mudler/xlog`](https://github.com/mudler/xlog) for logging (same API as `slog`). Do not use `fmt.Println` or the standard `log` package for operational logging.
- Use tab indentation for Go files (as defined in `.editorconfig`).
@@ -268,7 +267,7 @@ make test-e2e
### React UI tests and coverage
The React UI (`core/http/react-ui/`) is covered by Playwright e2e specs, gated by a **monotonic line-coverage ratchet** (`make test-ui-coverage-check`, run in CI and pre-commit). The metric is non-deterministic — a fast local box reads higher than a slow CI runner for the same code — so a small tolerance is unavoidable.
The React UI (`core/http/react-ui/`) is covered by Playwright e2e specs, gated by a **monotonic line-coverage ratchet** (`make test-ui-coverage-check`, run in CI). The metric is non-deterministic — a fast local box reads higher than a slow CI runner for the same code — so a small tolerance is unavoidable.
**If your change lowers UI coverage, raise it back by adding specs — do not widen the tolerance or hand-lower the baseline.** A *render-smoke* spec (navigate to a page, assert its header is visible) cheaply covers an entire lazy page. See `core/http/react-ui/e2e/page-render-smoke.spec.js` and the full policy in [.agents/building-and-testing.md](.agents/building-and-testing.md#react-ui-coverage).

View File

@@ -12,12 +12,16 @@ ARG APT_MIRROR
ARG APT_PORTS_MIRROR
ENV DEBIAN_FRONTEND=noninteractive
# hwdata ships /usr/share/hwdata/pci.ids. Without it, the ghw library we use
# for hardware detection cannot resolve PCI vendor IDs and fails to enumerate
# GPUs at all, so the image reports "No GPU detected" (see issue #10941).
RUN --mount=type=bind,source=.docker/apt-mirror.sh,target=/usr/local/sbin/apt-mirror \
APT_MIRROR="${APT_MIRROR}" APT_PORTS_MIRROR="${APT_PORTS_MIRROR}" sh /usr/local/sbin/apt-mirror && \
apt-get update && \
apt-get install -y --no-install-recommends \
ca-certificates curl wget espeak-ng libgomp1 \
ffmpeg libopenblas0 libopenblas-dev libopus0 sox && \
ffmpeg libopenblas0 libopenblas-dev libopus0 sox \
hwdata && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
@@ -171,6 +175,17 @@ RUN if [ "${BUILD_TYPE}" = "hipblas" ]; then \
ln -s /opt/rocm-**/lib/llvm/lib/libomp.so /usr/lib/libomp.so \
; fi
# ROCm's bundled libdrm_amdgpu is built with a hardcoded fallback lookup path
# for the ASIC ID table (/opt/amdgpu/share/libdrm/amdgpu.ids), which only exists
# if AMD's full amdgpu graphics/DKMS stack is installed. This compute-only image
# doesn't have it, so hipblas/rocBLAS log "No such file or directory" on every
# model load and can fail to identify the GPU. Point it at the equivalent file
# Ubuntu's libdrm-common package already ships.
RUN if [ "${BUILD_TYPE}" = "hipblas" ] && [ -f /usr/share/libdrm/amdgpu.ids ] && [ ! -e /opt/amdgpu/share/libdrm/amdgpu.ids ]; then \
mkdir -p /opt/amdgpu/share/libdrm && \
ln -s /usr/share/libdrm/amdgpu.ids /opt/amdgpu/share/libdrm/amdgpu.ids \
; fi
RUN expr "${BUILD_TYPE}" = intel && echo "intel" > /run/localai/capability || echo "not intel"
# Cuda
@@ -378,7 +393,12 @@ RUN go install github.com/mikefarah/yq/v4@latest
# If you cannot find a more suitable place for an addition, this layer is a suitable place for it.
FROM requirements-drivers
ENV HEALTHCHECK_ENDPOINT=http://localhost:8080/readyz
# Optional override for the HEALTHCHECK target. Left empty so healthcheck.sh
# derives the endpoint from the mode the container is actually running — the
# same image runs `local-ai run` (HTTP on 8080) and `local-ai worker` (HTTP on
# the gRPC base port minus one), and a hardcoded default marked every worker
# permanently unhealthy (#10987). Set it to pin an explicit URL.
ENV HEALTHCHECK_ENDPOINT=""
ARG CUDA_MAJOR_VERSION=12
ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
@@ -388,6 +408,7 @@ ENV NVIDIA_VISIBLE_DEVICES=all
WORKDIR /
COPY ./entrypoint.sh .
COPY ./scripts/build/healthcheck.sh .
# Copy the binary
COPY --from=builder /build/local-ai ./
@@ -398,9 +419,22 @@ RUN --mount=from=builder,src=/build/,dst=/mnt/build \
# Make sure the models directory exists
RUN mkdir -p /models /backends /data
# Define the health check command
HEALTHCHECK --interval=1m --timeout=10m --retries=10 \
CMD curl -f ${HEALTHCHECK_ENDPOINT} || exit 1
# Define the health check command.
#
# --start-period is the knob for slow starts, not --timeout/--retries. Since
# #10949 a frontend's startup preload materializes HuggingFace artifacts before
# the HTTP server binds (31 GB observed on a live cluster), so a healthy replica
# can legitimately fail probes for a long time. Failures inside the start period
# leave the container `starting` instead of burning retries, and the period ends
# early on the first success — so a generous value costs a fast-starting
# container nothing. A process that actually died is handled by the restart
# policy, not by health.
#
# --timeout is a per-probe deadline: 10m meant a wedged probe could hang for ten
# minutes and stretch detection without bound. A localhost curl that has not
# answered in 10s is itself the fault being detected.
HEALTHCHECK --start-period=60m --interval=1m --timeout=10s --retries=3 \
CMD /healthcheck.sh
VOLUME /models /backends /configuration /data
EXPOSE 8080

223
Makefile
View File

@@ -1,5 +1,5 @@
# Disable parallel execution for backend builds
.NOTPARALLEL: backends/diffusers backends/llama-cpp backends/turboquant backends/outetts backends/piper backends/stablediffusion-ggml backends/whisper backends/crispasr backends/parakeet-cpp backends/faster-whisper backends/silero-vad backends/local-store backends/huggingface backends/rfdetr backends/rfdetr-cpp backends/insightface backends/speaker-recognition backends/kitten-tts backends/kokoro backends/chatterbox backends/llama-cpp-darwin backends/neutts build-darwin-python-backend build-darwin-go-backend backends/mlx backends/diffuser-darwin backends/mlx-vlm backends/mlx-audio backends/mlx-distributed backends/stablediffusion-ggml-darwin backends/vllm backends/vllm-omni backends/sglang backends/moonshine backends/pocket-tts backends/qwen-tts backends/faster-qwen3-tts backends/qwen-asr backends/nemo backends/voxcpm backends/whisperx backends/ace-step backends/acestep-cpp backends/fish-speech backends/voxtral backends/opus backends/trl backends/llama-cpp-quantization backends/kokoros backends/sam3-cpp backends/qwen3-tts-cpp backends/omnivoice-cpp backends/vibevoice-cpp backends/localvqe backends/tinygrad backends/sherpa-onnx backends/ds4 backends/ds4-darwin backends/liquid-audio backends/supertonic backends/depth-anything-cpp backends/privacy-filter backends/privacy-filter-darwin
.NOTPARALLEL: backends/diffusers backends/llama-cpp backends/turboquant backends/bonsai backends/outetts backends/piper backends/stablediffusion-ggml backends/trellis2cpp backends/trellis2cpp-darwin backends/whisper backends/crispasr backends/parakeet-cpp backends/moss-transcribe-cpp backends/faster-whisper backends/silero-vad backends/local-store backends/valkey-store backends/cloud-proxy backends/huggingface backends/rfdetr backends/rfdetr-cpp backends/insightface backends/speaker-recognition backends/kitten-tts backends/kokoro backends/chatterbox backends/llama-cpp-darwin backends/neutts build-darwin-python-backend build-darwin-go-backend backends/mlx backends/diffuser-darwin backends/mlx-vlm backends/mlx-audio backends/mlx-distributed backends/stablediffusion-ggml-darwin backends/vllm backends/vllm-omni backends/longcat-video backends/sglang backends/moonshine backends/pocket-tts backends/qwen-tts backends/faster-qwen3-tts backends/qwen-asr backends/nemo backends/voxcpm backends/whisperx backends/ace-step backends/acestep-cpp backends/fish-speech backends/voxtral backends/opus backends/trl backends/llama-cpp-quantization backends/kokoros backends/sam3-cpp backends/qwen3-tts-cpp backends/moss-tts-cpp backends/magpie-tts-cpp backends/vllm-cpp backends/omnivoice-cpp backends/vibevoice-cpp backends/localvqe backends/tinygrad backends/sherpa-onnx backends/ds4 backends/ds4-darwin backends/liquid-audio backends/supertonic backends/depth-anything-cpp backends/privacy-filter backends/privacy-filter-darwin backends/audio-cpp backends/audio-cpp-darwin
GOCMD=go
GOTEST=$(GOCMD) test
@@ -69,7 +69,7 @@ else
GORELEASER=$(shell which goreleaser)
endif
TEST_PATHS?=./api/... ./pkg/... ./core/... ./backend/go/cloud-proxy/... ./backend/go/local-store/...
TEST_PATHS?=./api/... ./pkg/... ./core/... ./backend/go/cloud-proxy/... ./backend/go/local-store/... ./backend/go/valkey-store/...
## Coverage output and the committed baseline that CI compares against.
## The gate is strict: total coverage must never decrease (no tolerance).
@@ -103,7 +103,7 @@ COVERAGE_E2E_LABELS?=!real-models
COVERAGE_EXCLUDE_RE?=grpc/proto/.*[.]pb[.]go
.PHONY: all test test-coverage test-coverage-baseline test-coverage-check test-ui test-ui-coverage-baseline test-ui-coverage-check install-hooks build vendor lint lint-all
.PHONY: all test test-coverage test-coverage-baseline test-coverage-check test-backend-cpp test-build-scripts test-ui test-ui-coverage-baseline test-ui-coverage-check build vendor lint lint-all
all: help
@@ -172,6 +172,15 @@ build-dev: ## Run LocalAI in dev mode with live reload
dev-dist:
$(GORELEASER) build --snapshot --clean
## PR-time variant of dev-dist: builds only the host platform instead of all
## three release targets (linux/amd64, linux/arm64, darwin/arm64). The point of
## running goreleaser on a PR is to catch a broken config or a broken
## before-hook (protogen-go, react-ui, go mod tidy), and --single-target still
## exercises every one of those. Nothing consumes a PR's cross-compiled
## binaries. master pushes and tags still run the full dev-dist/dist.
dev-dist-single:
$(GORELEASER) build --snapshot --clean --single-target
dist:
$(GORELEASER) build --clean
@@ -201,6 +210,35 @@ test: prepare-test
OPUS_SHIM_LIBRARY=$(abspath ./pkg/opus/shim/libopusshim.so) \
$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --flake-attempts $(TEST_FLAKES) --fail-fast -v -r $(TEST_PATHS)
## Compiles and runs the standalone C++ unit tests for the backends (pure
## helpers that depend only on the stdlib + nlohmann/json, no full backend
## build). Discovers every *_test.cpp under backend/cpp/ - see
## backend/cpp/run-unit-tests.sh. Set NLOHMANN_INCLUDE to skip the header fetch.
test-backend-cpp:
bash backend/cpp/run-unit-tests.sh
## Runs the shell-level regression tests for the image packaging scripts
## (scripts/build/*_test.sh). These guard invariants that only ever break
## inside a container build - a missing transitive dep, a partial cuDNN
## family - and that no Go test can observe. Needs only bash + gcc + ldd.
test-build-scripts:
@set -e; for t in scripts/build/*_test.sh; do echo "== $$t"; bash "$$t"; done
## Runs the unit tests for the CI helper scripts under scripts/lib/. Currently
## the backend matrix path filter, whose failure mode is invisible in CI: it
## emits an empty matrix, every job goes green, and the change ships to no
## image at all (see PR #10946). Plain `node --test`, no dependencies.
test-ci-scripts:
@set -e; for t in scripts/lib/*_test.mjs; do echo "== $$t"; node --test "$$t"; done
## Runs the unit tests for the shared python backend helpers. These modules are
## pure stdlib on purpose so they run without any backend venv; the list is
## explicit because their siblings (model_identity_test) import grpc and the
## generated protobufs, which only exist inside a built backend.
PYTHON_HELPER_TESTS?=python_utils_test vllm_utils_test model_utils_test mlx_utils_test parent_watch_test
test-python-helpers:
cd backend/python/common && python3 -m unittest $(PYTHON_HELPER_TESTS)
## Runs the core suite ($(TEST_PATHS)) with statement-coverage instrumentation
## and writes a merged profile to $(COVERAGE_PROFILE). Deliberately omits
## --fail-fast so a single failure doesn't truncate the coverage number, and
@@ -248,8 +286,7 @@ LINT_EXCLUDE_DIRS_RE=/(backend/go/(piper|silero-vad|llm)|cmd/launcher)(/|$$)
## Set LINT_NEW_FROM to a git ref to override .golangci.yml's
## new-from-merge-base (origin/master). Useful from a fork clone where
## origin/master is stale relative to the canonical repo — the pre-commit
## hook passes the resolved upstream ref here so local lint matches CI.
## origin/master is stale relative to the canonical repo.
LINT_NEW_FROM?=
lint:
@command -v golangci-lint >/dev/null 2>&1 || { \
@@ -268,17 +305,6 @@ lint-all:
}
golangci-lint run --new=false --new-from-merge-base= --new-from-rev= $$(go list -e -f '{{.Dir}}' ./... | grep -vE '$(LINT_EXCLUDE_DIRS_RE)')
########################################################
## Git hooks
########################################################
## Points git at the versioned .githooks/ directory so the pre-commit hook
## (lint + coverage gate) runs locally. Run once per clone. Undo with:
## `git config --unset core.hooksPath`. Skip a single commit with
## `git commit --no-verify`.
install-hooks:
git config core.hooksPath .githooks
@echo 'Installed git hooks: core.hooksPath -> .githooks (pre-commit runs lint + test-coverage-check on Go changes)'
########################################################
## E2E AIO tests (uses standard image with pre-configured models)
########################################################
@@ -377,6 +403,15 @@ test-stores: backends/local-store
BACKENDS_PATH=$(abspath ./)/backends \
$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --flake-attempts $(TEST_FLAKES) -v -r tests/integration
## Valkey-backed vector-store integration. Requires a running Valkey Search
## server (valkey/valkey-bundle:9.1.0) reachable at $$VALKEY_ADDR — the suite
## skips itself when VALKEY_ADDR is unset. Builds the backend on demand and
## points the model loader at it via BACKENDS_PATH. Label-filtered to the
## valkey specs so it does not also run the in-memory local-store suite.
test-valkey-store: backends/valkey-store
BACKENDS_PATH=$(abspath ./)/backends \
$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --flake-attempts $(TEST_FLAKES) --label-filter='valkey' -v -r tests/integration
test-opus:
@echo 'Running opus backend tests'
$(MAKE) -C backend/go/opus libopusshim.so
@@ -398,6 +433,23 @@ test-realtime: build-mock-backend
@echo 'Running realtime e2e tests (mock backend)'
$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="Realtime && !real-models" --flake-attempts $(TEST_FLAKES) -v -r ./tests/e2e
# Verify the realtime state-machine implementations conform to their formal
# designs (Go transition/rapid tests under -race + FizzBee model check of the
# authoritative specs). See docs/design/realtime-state-machines.md (Part 6) and
# docs/design/specs/README.md.
test-realtime-conformance:
GOCMD=$(GOCMD) ./scripts/realtime-conformance.sh
# Verify the shared model-loader shutdown behavior independently of any API
# modality (focused loader/gRPC/distributed/worker tests under -race + FizzBee).
test-model-lifecycle-conformance:
GOCMD=$(GOCMD) ./scripts/model-lifecycle-conformance.sh
# Install the pinned, checksum-verified FizzBee model checker (into .tools/,
# gitignored) used by the conformance targets. Idempotent; no-op if present.
install-fizzbee:
./scripts/install-fizzbee.sh
# Container-based real-model realtime testing. Build env vars / pipeline
# definition kept here so test-realtime-models-docker can drive a fully wired
# pipeline (VAD + STT + LLM + TTS) from inside a containerised runner.
@@ -546,6 +598,7 @@ prepare-test-extra: protogen-python
$(MAKE) -C backend/python/chatterbox
$(MAKE) -C backend/python/vllm
$(MAKE) -C backend/python/vllm-omni
$(MAKE) -C backend/python/longcat-video
$(MAKE) -C backend/python/sglang
$(MAKE) -C backend/python/vibevoice
$(MAKE) -C backend/python/liquid-audio
@@ -567,6 +620,8 @@ prepare-test-extra: protogen-python
$(MAKE) -C backend/rust/kokoros kokoros-grpc
$(MAKE) -C backend/go/rfdetr-cpp
$(MAKE) -C backend/go/locate-anything-cpp
$(MAKE) -C backend/go/trellis2cpp
$(MAKE) -C backend/go/valkey-store
test-extra: prepare-test-extra
$(MAKE) -C backend/python/transformers test
@@ -575,6 +630,7 @@ test-extra: prepare-test-extra
$(MAKE) -C backend/python/chatterbox test
$(MAKE) -C backend/python/vllm test
$(MAKE) -C backend/python/vllm-omni test
$(MAKE) -C backend/python/longcat-video test
$(MAKE) -C backend/python/vibevoice test
$(MAKE) -C backend/python/liquid-audio test
$(MAKE) -C backend/python/moonshine test
@@ -597,6 +653,9 @@ test-extra: prepare-test-extra
$(MAKE) -C backend/go/locate-anything-cpp test
$(MAKE) -C backend/go/depth-anything-cpp test
$(MAKE) -C backend/go/supertonic test
$(MAKE) -C backend/go/vllm-cpp test
$(MAKE) -C backend/go/trellis2cpp test
$(MAKE) -C backend/go/valkey-store test
##
## End-to-end gRPC tests that exercise a built backend container image.
@@ -626,6 +685,9 @@ test-extra: prepare-test-extra
## suite against it.
##
BACKEND_TEST_MODEL_URL?=https://huggingface.co/Qwen/Qwen3-0.6B-GGUF/resolve/main/Qwen3-0.6B-Q8_0.gguf
## Suite timeout for `go test`. Wrappers whose model download alone can eat
## most of the default (multi-GB models on a slow HF CDN day) override this.
BACKEND_TEST_TIMEOUT?=30m
## Generic target — runs the suite against whatever BACKEND_IMAGE points at.
## Depends on protogen-go so pkg/grpc/proto is generated before `go test`.
@@ -653,7 +715,7 @@ test-extra-backend: protogen-go
BACKEND_TEST_FACE_IMAGE_3_URL="$$BACKEND_TEST_FACE_IMAGE_3_URL" \
BACKEND_TEST_FACE_IMAGE_3_FILE="$$BACKEND_TEST_FACE_IMAGE_3_FILE" \
BACKEND_TEST_VERIFY_DISTANCE_CEILING="$$BACKEND_TEST_VERIFY_DISTANCE_CEILING" \
go test -v -timeout 30m ./tests/e2e-backends/...
go test -v -timeout $(BACKEND_TEST_TIMEOUT) ./tests/e2e-backends/...
## Convenience wrappers: build the image, then exercise it.
test-extra-backend-llama-cpp: docker-build-llama-cpp
@@ -676,6 +738,16 @@ test-extra-backend-turboquant: docker-build-turboquant
BACKEND_TEST_CACHE_TYPE_V=turbo3 \
$(MAKE) test-extra-backend
## bonsai: exercises the llama.cpp-fork backend with a real Q1_0 (1-bit) model —
## the PrismML Bonsai-8B GGUF, whose weight quant is *only* decodable by the fork's
## Q1_0 kernels. Loading it is what makes this backend distinct from stock llama-cpp;
## a standard-quant model would only test the upstream code path the llama-cpp backend
## already covers.
test-extra-backend-bonsai: docker-build-bonsai
BACKEND_IMAGE=local-ai-backend:bonsai \
BACKEND_TEST_MODEL_URL=https://huggingface.co/prism-ml/Bonsai-8B-gguf/resolve/main/Bonsai-8B-Q1_0.gguf \
$(MAKE) test-extra-backend
## Audio transcription wrapper for the llama-cpp backend.
## Drives the new AudioTranscription / AudioTranscriptionStream RPCs against
## ggml-org/Qwen3-ASR-0.6B-GGUF (a small ASR model that requires its mmproj
@@ -993,6 +1065,7 @@ test-extra-backend-vibevoice-cpp-tts: docker-build-vibevoice-cpp
## post-image disk budget.
test-extra-backend-vibevoice-cpp-transcription: docker-build-vibevoice-cpp
BACKEND_IMAGE=local-ai-backend:vibevoice-cpp \
BACKEND_TEST_TIMEOUT=120m \
BACKEND_TEST_MODEL_URL='https://huggingface.co/mudler/vibevoice.cpp-models/resolve/main/vibevoice-asr-q4_k.gguf#vibevoice-asr-q4_k.gguf' \
BACKEND_TEST_EXTRA_FILES='https://huggingface.co/mudler/vibevoice.cpp-models/resolve/main/tokenizer.gguf#tokenizer.gguf' \
BACKEND_TEST_AUDIO_URL=https://github.com/ggml-org/whisper.cpp/raw/master/samples/jfk.wav \
@@ -1020,7 +1093,19 @@ test-extra-backend-whisper-transcription: docker-build-whisper
## is reachable.
test-extra-backend-parakeet-cpp-transcription: docker-build-parakeet-cpp
BACKEND_IMAGE=local-ai-backend:parakeet-cpp \
BACKEND_TEST_MODEL_URL=https://huggingface.co/mudler/parakeet-cpp-gguf/resolve/main/tdt_ctc-110m-f16.gguf \
BACKEND_TEST_MODEL_URL=https://huggingface.co/mudler/parakeet-cpp-gguf/resolve/main/realtime_eou_120m-v1-f16.gguf \
BACKEND_TEST_AUDIO_URL=https://github.com/ggml-org/whisper.cpp/raw/master/samples/jfk.wav \
BACKEND_TEST_CAPS=health,load,transcription \
$(MAKE) test-extra-backend
## Audio transcription wrapper for the moss-transcribe-cpp (moss-transcribe.cpp
## ggml port) backend. Mirrors test-extra-backend-parakeet-cpp-transcription:
## drives the AudioTranscription RPC against a published MOSS GGUF using the JFK
## 11s clip from whisper.cpp's CI samples. Not part of the default test suite -
## run explicitly once the pinned model URL is reachable.
test-extra-backend-moss-transcribe-cpp-transcription: docker-build-moss-transcribe-cpp
BACKEND_IMAGE=local-ai-backend:moss-transcribe-cpp \
BACKEND_TEST_MODEL_URL=https://huggingface.co/mudler/moss-transcribe.cpp-gguf/resolve/main/moss-transcribe-q5_k.gguf \
BACKEND_TEST_AUDIO_URL=https://github.com/ggml-org/whisper.cpp/raw/master/samples/jfk.wav \
BACKEND_TEST_CAPS=health,load,transcription \
$(MAKE) test-extra-backend
@@ -1133,6 +1218,10 @@ backends/privacy-filter-darwin: build
bash ./scripts/build/privacy-filter-darwin.sh
./local-ai backends install "ocifile://$(abspath ./backend-images/privacy-filter.tar)"
backends/audio-cpp-darwin: build
bash ./scripts/build/audio-cpp-darwin.sh
./local-ai backends install "ocifile://$(abspath ./backend-images/audio-cpp.tar)"
build-darwin-python-backend: build
bash ./scripts/build/python-darwin.sh
@@ -1163,6 +1252,10 @@ backends/stablediffusion-ggml-darwin:
BACKEND=stablediffusion-ggml BUILD_TYPE=metal $(MAKE) build-darwin-go-backend
./local-ai backends install "ocifile://$(abspath ./backend-images/stablediffusion-ggml.tar)"
backends/trellis2cpp-darwin:
BACKEND=trellis2cpp BUILD_TYPE=metal $(MAKE) build-darwin-go-backend
./local-ai backends install "ocifile://$(abspath ./backend-images/trellis2cpp.tar)"
backend-images:
mkdir -p backend-images
@@ -1174,6 +1267,10 @@ BACKEND_IK_LLAMA_CPP = ik-llama-cpp|ik-llama-cpp|.|false|false
# turboquant is a llama.cpp fork with TurboQuant KV-cache quantization.
# Reuses backend/cpp/llama-cpp grpc-server sources via a thin wrapper Makefile.
BACKEND_TURBOQUANT = turboquant|turboquant|.|false|false
# bonsai is a llama.cpp fork (PrismML) adding the Q1_0 (1-bit) and Q2_0 (ternary)
# weight-quant kernels the Bonsai / Ternary-Bonsai models ship in. Reuses
# backend/cpp/llama-cpp grpc-server sources via a thin wrapper Makefile.
BACKEND_BONSAI = bonsai|bonsai|.|false|false
# ds4 is antirez/ds4, a DeepSeek V4 Flash-specific inference engine.
# Single-model; hardware-only validation lives at tests/e2e-backends/
# (BACKEND_BINARY mode); see docs/superpowers/plans/2026-05-11-ds4-backend.md.
@@ -1182,21 +1279,32 @@ BACKEND_DS4 = ds4|ds4|.|false|false
# openai-privacy-filter PII/NER token classifier) — the TokenClassify RPC for
# the PII redactor tier, on stock ggml with no llama.cpp carry-patches.
BACKEND_PRIVACY_FILTER = privacy-filter|privacy-filter|.|false|false
# audio-cpp wraps 0xShug0/audio.cpp, a multi-family ggml audio inference engine
# (TTS, ASR, VAD, diarization, source separation, music generation). Builds
# against apt gRPC/protobuf rather than a prebuilt base-grpc image; the reason
# is on the audio-cpp block in .github/backend-matrix.yml.
BACKEND_AUDIO_CPP = audio-cpp|audio-cpp|.|false|false
# Golang backends
BACKEND_PIPER = piper|golang|.|false|true
BACKEND_LOCAL_STORE = local-store|golang|.|false|true
BACKEND_VALKEY_STORE = valkey-store|golang|.|false|true
BACKEND_CLOUD_PROXY = cloud-proxy|golang|.|false|true
BACKEND_HUGGINGFACE = huggingface|golang|.|false|true
BACKEND_SILERO_VAD = silero-vad|golang|.|false|true
BACKEND_STABLEDIFFUSION_GGML = stablediffusion-ggml|golang|.|--progress=plain|true
BACKEND_TRELLIS2CPP = trellis2cpp|golang|.|--progress=plain|true
BACKEND_WHISPER = whisper|golang|.|false|true
BACKEND_CRISPASR = crispasr|golang|.|false|true
BACKEND_PARAKEET_CPP = parakeet-cpp|golang|.|false|true
BACKEND_MOSS_TRANSCRIBE_CPP = moss-transcribe-cpp|golang|.|false|true
BACKEND_DEPTH_ANYTHING_CPP = depth-anything-cpp|golang|.|false|true
BACKEND_VOXTRAL = voxtral|golang|.|false|true
BACKEND_ACESTEP_CPP = acestep-cpp|golang|.|false|true
BACKEND_QWEN3_TTS_CPP = qwen3-tts-cpp|golang|.|false|true
BACKEND_MOSS_TTS_CPP = moss-tts-cpp|golang|.|false|true
BACKEND_MAGPIE_TTS_CPP = magpie-tts-cpp|golang|.|false|true
BACKEND_VLLM_CPP = vllm-cpp|golang|.|false|true
BACKEND_OMNIVOICE_CPP = omnivoice-cpp|golang|.|false|true
BACKEND_VIBEVOICE_CPP = vibevoice-cpp|golang|.|false|true
BACKEND_LOCALVQE = localvqe|golang|.|false|true
@@ -1218,6 +1326,7 @@ BACKEND_NEUTTS = neutts|python|.|false|true
BACKEND_KOKORO = kokoro|python|.|false|true
BACKEND_VLLM = vllm|python|.|false|true
BACKEND_VLLM_OMNI = vllm-omni|python|.|false|true
BACKEND_LONGCAT_VIDEO = longcat-video|python|.|--progress=plain|true
BACKEND_SGLANG = sglang|python|.|false|true
BACKEND_DIFFUSERS = diffusers|python|.|--progress=plain|true
BACKEND_CHATTERBOX = chatterbox|python|.|false|true
@@ -1275,17 +1384,22 @@ endef
$(eval $(call generate-docker-build-target,$(BACKEND_LLAMA_CPP)))
$(eval $(call generate-docker-build-target,$(BACKEND_IK_LLAMA_CPP)))
$(eval $(call generate-docker-build-target,$(BACKEND_TURBOQUANT)))
$(eval $(call generate-docker-build-target,$(BACKEND_BONSAI)))
$(eval $(call generate-docker-build-target,$(BACKEND_DS4)))
$(eval $(call generate-docker-build-target,$(BACKEND_PRIVACY_FILTER)))
$(eval $(call generate-docker-build-target,$(BACKEND_AUDIO_CPP)))
$(eval $(call generate-docker-build-target,$(BACKEND_PIPER)))
$(eval $(call generate-docker-build-target,$(BACKEND_LOCAL_STORE)))
$(eval $(call generate-docker-build-target,$(BACKEND_VALKEY_STORE)))
$(eval $(call generate-docker-build-target,$(BACKEND_CLOUD_PROXY)))
$(eval $(call generate-docker-build-target,$(BACKEND_HUGGINGFACE)))
$(eval $(call generate-docker-build-target,$(BACKEND_SILERO_VAD)))
$(eval $(call generate-docker-build-target,$(BACKEND_STABLEDIFFUSION_GGML)))
$(eval $(call generate-docker-build-target,$(BACKEND_TRELLIS2CPP)))
$(eval $(call generate-docker-build-target,$(BACKEND_WHISPER)))
$(eval $(call generate-docker-build-target,$(BACKEND_CRISPASR)))
$(eval $(call generate-docker-build-target,$(BACKEND_PARAKEET_CPP)))
$(eval $(call generate-docker-build-target,$(BACKEND_MOSS_TRANSCRIBE_CPP)))
$(eval $(call generate-docker-build-target,$(BACKEND_DEPTH_ANYTHING_CPP)))
$(eval $(call generate-docker-build-target,$(BACKEND_VOXTRAL)))
$(eval $(call generate-docker-build-target,$(BACKEND_OPUS)))
@@ -1302,6 +1416,7 @@ $(eval $(call generate-docker-build-target,$(BACKEND_NEUTTS)))
$(eval $(call generate-docker-build-target,$(BACKEND_KOKORO)))
$(eval $(call generate-docker-build-target,$(BACKEND_VLLM)))
$(eval $(call generate-docker-build-target,$(BACKEND_VLLM_OMNI)))
$(eval $(call generate-docker-build-target,$(BACKEND_LONGCAT_VIDEO)))
$(eval $(call generate-docker-build-target,$(BACKEND_SGLANG)))
$(eval $(call generate-docker-build-target,$(BACKEND_DIFFUSERS)))
$(eval $(call generate-docker-build-target,$(BACKEND_CHATTERBOX)))
@@ -1319,6 +1434,9 @@ $(eval $(call generate-docker-build-target,$(BACKEND_WHISPERX)))
$(eval $(call generate-docker-build-target,$(BACKEND_ACE_STEP)))
$(eval $(call generate-docker-build-target,$(BACKEND_ACESTEP_CPP)))
$(eval $(call generate-docker-build-target,$(BACKEND_QWEN3_TTS_CPP)))
$(eval $(call generate-docker-build-target,$(BACKEND_MOSS_TTS_CPP)))
$(eval $(call generate-docker-build-target,$(BACKEND_MAGPIE_TTS_CPP)))
$(eval $(call generate-docker-build-target,$(BACKEND_VLLM_CPP)))
$(eval $(call generate-docker-build-target,$(BACKEND_OMNIVOICE_CPP)))
$(eval $(call generate-docker-build-target,$(BACKEND_VIBEVOICE_CPP)))
$(eval $(call generate-docker-build-target,$(BACKEND_LOCALVQE)))
@@ -1338,7 +1456,7 @@ $(eval $(call generate-docker-build-target,$(BACKEND_SUPERTONIC)))
docker-save-%: backend-images
docker save local-ai-backend:$* -o backend-images/$*.tar
docker-build-backends: docker-build-llama-cpp docker-build-ik-llama-cpp docker-build-turboquant docker-build-ds4 docker-build-rerankers docker-build-vllm docker-build-vllm-omni docker-build-sglang docker-build-transformers docker-build-outetts docker-build-diffusers docker-build-kokoro docker-build-faster-whisper docker-build-crispasr docker-build-coqui docker-build-chatterbox docker-build-vibevoice docker-build-liquid-audio docker-build-moonshine docker-build-pocket-tts docker-build-qwen-tts docker-build-fish-speech docker-build-faster-qwen3-tts docker-build-qwen-asr docker-build-nemo docker-build-voxcpm docker-build-whisperx docker-build-ace-step docker-build-acestep-cpp docker-build-voxtral docker-build-mlx-distributed docker-build-trl docker-build-llama-cpp-quantization docker-build-tinygrad docker-build-kokoros docker-build-sam3-cpp docker-build-rfdetr-cpp docker-build-qwen3-tts-cpp docker-build-omnivoice-cpp docker-build-vibevoice-cpp docker-build-localvqe docker-build-insightface docker-build-speaker-recognition docker-build-sherpa-onnx docker-build-cloud-proxy docker-build-supertonic docker-build-depth-anything-cpp docker-build-privacy-filter
docker-build-backends: docker-build-llama-cpp docker-build-ik-llama-cpp docker-build-turboquant docker-build-bonsai docker-build-ds4 docker-build-rerankers docker-build-vllm docker-build-vllm-omni docker-build-longcat-video docker-build-sglang docker-build-transformers docker-build-outetts docker-build-diffusers docker-build-kokoro docker-build-faster-whisper docker-build-crispasr docker-build-coqui docker-build-chatterbox docker-build-vibevoice docker-build-liquid-audio docker-build-moonshine docker-build-pocket-tts docker-build-qwen-tts docker-build-fish-speech docker-build-faster-qwen3-tts docker-build-qwen-asr docker-build-nemo docker-build-voxcpm docker-build-whisperx docker-build-ace-step docker-build-acestep-cpp docker-build-voxtral docker-build-mlx-distributed docker-build-trl docker-build-llama-cpp-quantization docker-build-tinygrad docker-build-kokoros docker-build-sam3-cpp docker-build-rfdetr-cpp docker-build-qwen3-tts-cpp docker-build-moss-tts-cpp docker-build-magpie-tts-cpp docker-build-vllm-cpp docker-build-omnivoice-cpp docker-build-vibevoice-cpp docker-build-localvqe docker-build-insightface docker-build-speaker-recognition docker-build-sherpa-onnx docker-build-cloud-proxy docker-build-supertonic docker-build-depth-anything-cpp docker-build-moss-transcribe-cpp docker-build-privacy-filter docker-build-trellis2cpp docker-build-valkey-store docker-build-audio-cpp
########################################################
### Mock Backend for E2E Tests
@@ -1373,7 +1491,7 @@ test-ui-e2e: build-ui-test-server
UI_TEST_WORKERS ?=
PLAYWRIGHT_WORKERS_FLAG = $(if $(UI_TEST_WORKERS),--workers=$(UI_TEST_WORKERS),)
## Fast Playwright e2e run used by the pre-commit hook on React UI changes.
## Fast Playwright e2e run for local React UI validation.
## Force-rebuilds the (non-instrumented) dist so the suite tests the working
## tree — not a stale dist the `react-ui` skip-guard would leave — re-embeds
## it into ui-test-server, and runs the specs. Uses the nix-provided browser
@@ -1430,7 +1548,12 @@ swagger:
gen-assets:
$(GOCMD) run core/dependencies_manager/manager.go webui_static.yaml core/http/static/assets
## Documentation
## Documentation and website
# The published site is two Hugo sites: website/ owns the root, docs/ is nested
# under /docs/. Serve them separately while editing; use `make site` to get the
# merged tree (including the legacy URL redirects) that GitHub Pages deploys.
SITE_BASE_URL?=http://localhost:8000
docs/layouts/_default:
mkdir -p docs/layouts/_default
@@ -1442,24 +1565,66 @@ docs/public: docs/layouts/_default docs/static/gallery.html
docs-clean:
rm -rf docs/public
rm -rf website/public
rm -rf docs/static/gallery.html
.PHONY: docs
docs: docs/static/gallery.html
cd docs && hugo serve
.PHONY: website
website:
cd website && hugo serve
.PHONY: site
site: docs/static/gallery.html
rm -rf website/public docs/public
cd website && hugo --minify --baseURL "$(SITE_BASE_URL)/"
cd docs && hugo --minify --baseURL "$(SITE_BASE_URL)/docs/"
mkdir -p website/public/docs
cp -R docs/public/. website/public/docs/
./.github/ci/gen-redirects.sh website/public "$(SITE_BASE_URL)/"
.PHONY: site-serve
site-serve: site
cd website/public && python3 -m http.server 8000
########################################################
## Platform-specific builds
########################################################
## fyne cross-platform build
build-launcher-darwin: build-launcher
go run github.com/tiagomelo/macos-dmg-creator/cmd/createdmg@latest \
--appName "LocalAI" \
--appBinaryPath "$(LAUNCHER_BINARY_NAME)" \
--bundleIdentifier "com.localai.launcher" \
--iconPath "core/http/static/logo.png" \
--outputDir "dist/"
# Build LocalAI.app from the launcher via fyne (metadata read from cmd/launcher/FyneApp.toml).
# Signing happens via contrib/macos/sign-and-notarize.sh, which is a no-op when the signing
# secrets are unset, so unsigned local/fork builds keep working.
build-launcher-darwin:
rm -rf dist/LocalAI.app cmd/launcher/LocalAI.app
mkdir -p dist
cd cmd/launcher && go run fyne.io/tools/cmd/fyne@latest package -os darwin -icon ../../core/http/static/logo.png --executable $(LAUNCHER_BINARY_NAME)
mv cmd/launcher/LocalAI.app dist/LocalAI.app
bash contrib/macos/sign-and-notarize.sh sign dist/LocalAI.app
# Notarize + staple the .app itself, then wrap it into a drag-to-Applications
# DMG via hdiutil and sign the DMG. The app is stapled BEFORE packaging so the
# bundle carries its own ticket and verifies offline (a dmg-only staple leaves
# the app relying on an online Gatekeeper check, which fails offline / once the
# app is copied out of the dmg). No-op without notary secrets.
dmg-launcher-darwin: build-launcher-darwin
bash contrib/macos/sign-and-notarize.sh notarize-app dist/LocalAI.app
rm -rf dist/dmg dist/LocalAI.dmg
mkdir -p dist/dmg
cp -R dist/LocalAI.app dist/dmg/LocalAI.app
ln -s /Applications dist/dmg/Applications
hdiutil create -volname "LocalAI" -srcfolder dist/dmg -ov -format UDZO dist/LocalAI.dmg
bash contrib/macos/sign-and-notarize.sh sign dist/LocalAI.dmg
# Submit the DMG to Apple notarization and staple the ticket (no-op without notary secrets).
notarize-launcher-darwin: dmg-launcher-darwin
bash contrib/macos/sign-and-notarize.sh notarize dist/LocalAI.dmg
# Single entrypoint for CI: build -> sign app -> notarize+staple app -> dmg -> sign dmg -> notarize+staple dmg.
release-launcher-darwin: notarize-launcher-darwin
@echo "dist/LocalAI.dmg is ready"
build-launcher-linux:
cd cmd/launcher && go run fyne.io/tools/cmd/fyne@latest package -os linux -icon ../../core/http/static/logo.png --executable $(LAUNCHER_BINARY_NAME)-linux && mv launcher.tar.xz ../../$(LAUNCHER_BINARY_NAME)-linux.tar.xz
cd cmd/launcher && go run fyne.io/tools/cmd/fyne@latest package -os linux -icon ../../core/http/static/logo.png --executable $(LAUNCHER_BINARY_NAME)-linux && mv LocalAI.tar.xz ../../$(LAUNCHER_BINARY_NAME)-linux.tar.xz

View File

@@ -177,6 +177,7 @@ For more details, see the [Getting Started guide](https://localai.io/basics/gett
## Latest News
- **June 2026**: New native biometric backends from the LocalAI team: [voice-detect.cpp](https://github.com/localai-org/voice-detect.cpp) for speaker recognition and voice analysis (ECAPA-TDNN, WeSpeaker, ERes2Net, CAM++, wav2vec2 age/gender/emotion) and [face-detect.cpp](https://github.com/mudler/face-detect.cpp) for face detection, recognition, demographics and anti-spoofing (SCRFD/ArcFace, YuNet/SFace). Both are from-scratch C++/ggml engines with no Python or onnxruntime at inference, self-contained GGUF weights, bit-exact parity with the reference, and GPU cuDNN parity, replacing the heavier Python `insightface` and `speaker-recognition` backends ([PR #10441](https://github.com/mudler/LocalAI/pull/10441)).
- **June 2026**: New [realtime voice assistant demo](https://github.com/localai-org/localai-realtime-demo) (a tiny Go client for the Realtime API with a full talk-back voice loop and tool calling), plus [streaming of the realtime LLM / TTS / transcription pipeline stages](https://github.com/mudler/LocalAI/pull/10176) and [configurable WebRTC ICE candidates](https://github.com/mudler/LocalAI/pull/10231).
- **June 2026**: Big speech push: the [parakeet.cpp](https://github.com/mudler/parakeet.cpp) ASR engine gains [NeMo-faithful segment timestamps](https://github.com/mudler/LocalAI/pull/10207), a [multilingual streaming Nemotron-3.5 model](https://github.com/mudler/LocalAI/pull/10199), [dynamic batching for concurrent transcription](https://github.com/mudler/LocalAI/pull/10112) and [CUDA graphs](https://github.com/mudler/LocalAI/pull/10273); the new [CrispASR backend](https://github.com/mudler/LocalAI/pull/10099) adds multi-architecture ASR + TTS, and [60 Piper TTS voices across 42 languages](https://github.com/mudler/LocalAI/pull/10296) land in the gallery (plus [per-request TTS instructions and params](https://github.com/mudler/LocalAI/pull/10172)).
- **June 2026**: New backends and models: [locate-anything.cpp](https://github.com/mudler/LocalAI/pull/10264) for open-vocabulary object detection via ggml, [Ideogram4 image generation](https://github.com/mudler/LocalAI/pull/10201) in stablediffusion-ggml, [llama.cpp video input](https://github.com/mudler/LocalAI/pull/10216), and the [Gemma 4 QAT family with MTP speculative-decoding pairs](https://github.com/mudler/LocalAI/pull/10215). Plus an [interactive CLI chat mode](https://github.com/mudler/LocalAI/pull/10226) and [RAG source citations in agent responses](https://github.com/mudler/LocalAI/pull/10228).
@@ -230,13 +231,21 @@ Most backends wrap a best-in-class upstream engine. A handful of them are native
| Backend | What it does |
|---------|-------------|
| [vllm.cpp](https://github.com/mudler/vllm.cpp) | From-scratch C++20 port of vLLM for text generation: paged KV cache, continuous batching, prefix caching, safetensors + GGUF loading, engine-enforced structured output, on CPU, CUDA, Metal and Vulkan |
| [parakeet.cpp](https://github.com/mudler/parakeet.cpp) | C++/GGML port of NVIDIA NeMo Parakeet ASR (tdt/ctc/rnnt/hybrid), with cache-aware streaming transcription |
| [ced.cpp](https://github.com/mudler/ced.cpp) | C++/GGML port of the CED audio-tagging models: sound-event classification (527-class AudioSet) over REST and the realtime API for live recognition |
| [voxtral.c](https://github.com/mudler/voxtral.c) | Voxtral Realtime 4B speech-to-text in pure C |
| [moss-transcribe.cpp](https://github.com/localai-org/moss-transcribe.cpp) | C++/GGML port of OpenMOSS MOSS-Transcribe-Diarize: joint long-form transcription, speaker diarization and timestamping in a single pass |
| [moss-tts.cpp](https://github.com/mudler/moss-tts.cpp) | C++/GGML port of the OpenMOSS MOSS-TTS family: text-to-speech (MOSS-TTS-Local v1.5, 48 kHz stereo) with reference-audio voice cloning, through the MOSS-Audio-Tokenizer neural codec |
| [magpie-tts.cpp](https://github.com/mudler/magpie-tts.cpp) | C++/GGML port of NVIDIA's Magpie TTS Multilingual 357M: 22.05 kHz mono text-to-speech in 5 voices and 9+ languages, with the NanoCodec neural codec and tokenizer/G2P embedded in a single GGUF |
| [ced.cpp](https://github.com/localai-org/ced.cpp) | C++/GGML port of the CED audio-tagging models: sound-event classification (527-class AudioSet) over REST and the realtime API for live recognition |
| [voice-detect.cpp](https://github.com/localai-org/voice-detect.cpp) | Speaker recognition and voice analysis (ECAPA-TDNN, WeSpeaker, ERes2Net, CAM++, wav2vec2 age/gender/emotion), replacing the Python speaker-recognition backend |
| [voxtral-tts.c](https://github.com/mudler/voxtral-tts.c) | Mistral Voxtral-4B-TTS text-to-speech in pure C: 20 preset voices across 9 languages, 24 kHz WAV output, no dependencies beyond libc |
| [vibevoice.cpp](https://github.com/mudler/vibevoice.cpp) | Native port of Microsoft VibeVoice for TTS (voice cloning) and long-form ASR with speaker diarization |
| [rf-detr.cpp](https://github.com/mudler/rf-detr.cpp) | Native RF-DETR object detection and instance segmentation |
| [rf-detr.cpp](https://github.com/localai-org/rf-detr.cpp) | Native RF-DETR object detection and instance segmentation |
| [locate-anything.cpp](https://github.com/mudler/locate-anything.cpp) | Open-vocabulary object detection and visual grounding (LocateAnything-3B) |
| [depth-anything.cpp](https://github.com/mudler/depth-anything.cpp) | Depth Anything 3 monocular metric depth + camera pose estimation |
| [face-detect.cpp](https://github.com/mudler/face-detect.cpp) | Face detection, recognition, demographics and anti-spoofing (SCRFD/ArcFace, YuNet/SFace), replacing the Python insightface backend |
| [free-splatter.cpp](https://github.com/localai-org/free-splatter.cpp) | Pose-free 3D reconstruction (FreeSplatter): turns a handful of plain photos into 3D Gaussians, no camera poses or GPU required |
| [trellis2.cpp](https://github.com/localai-org/trellis2cpp) | C++/GGML port of Microsoft TRELLIS.2: single-image to textured 3D mesh (GLB with PBR materials) |
| [privacy-filter.cpp](https://github.com/localai-org/privacy-filter.cpp) | Standalone GGML PII/NER token-classification engine powering LocalAI's PII redaction tier |
| [LocalVQE](https://github.com/localai-org/LocalVQE) | Joint acoustic echo cancellation, noise suppression, and dereverberation |
| [local-store](https://github.com/mudler/LocalAI) | Local-first vector database for embeddings (shipped in-tree) |

View File

@@ -0,0 +1,120 @@
ARG BASE_IMAGE=ubuntu:24.04
ARG APT_MIRROR=""
ARG APT_PORTS_MIRROR=""
# audio-cpp: 0xShug0/audio.cpp, a ggml audio inference framework covering TTS,
# ASR, VAD, diarization, source separation and music generation, wrapped as a
# LocalAI gRPC backend.
#
# BASE_IMAGE is ubuntu:24.04 for cpu and vulkan builds, or
# nvidia/cuda:<ver>-devel-ubuntu24.04 for cublas builds; both ship apt and
# Ubuntu Noble packages, and the CUDA base additionally provides
# /usr/local/cuda. BUILD_TYPE selects the engine backend in the Makefile:
# "" = portable CPU with all ggml CPU variants, "cublas" ->
# -DENGINE_ENABLE_CUDA=ON, "vulkan" -> -DENGINE_ENABLE_VULKAN=ON. Darwin
# (Metal) builds bypass this Dockerfile entirely.
#
# Upstream needs GCC 13 or newer, which ubuntu:24.04 and the CUDA 12/13
# devel-ubuntu24.04 images all provide.
#
# THIS BACKEND CANNOT USE .docker/install-base-deps.sh OR THE PREBUILT
# quay.io/go-skynet/ci-cache:base-grpc-* IMAGES, AND THAT IS NOT A STYLE CHOICE.
#
# Both supply gRPC v1.65 built from source at /opt/grpc, which downstream
# Dockerfiles copy to /usr/local. That gRPC vendors protobuf v26, and protobuf
# has depended on abseil since v22: google/protobuf/message_lite.h includes
# absl/strings/cord.h. audio.cpp links sentencepiece, and our CMakeLists sets
# SPM_PROTOBUF_PROVIDER=package so sentencepiece uses the same protobuf the
# generated backend.pb.cc was built against (the alternative broke every
# nested-message parse; the full account is in backend/cpp/audio-cpp/CMakeLists.txt).
# That makes sentencepiece's init.h include the external message_lite.h while it
# still includes its own vendored mini-abseil from third_party/absl. The vendored
# copy declares `namespace absl { namespace internal { ... } }` and real abseil
# declares `namespace absl { inline namespace lts_20240116 { namespace internal
# { ... } } }`, so every `absl::internal::` reference becomes ambiguous and the
# compile dies in absl/base/casts.h. Verified, not theorised: building this image
# against the base-grpc-amd64 prebuilt fails at
# sentencepiece-static/error.cc.o with "reference to 'internal' is ambiguous".
#
# Ubuntu Noble's apt protobuf is 3.21.12, which predates the abseil dependency,
# so message_lite.h pulls in no abseil and the vendored copy is the only one in
# scope. That is also the exact protobuf/gRPC pair every unit and end-to-end run
# of this backend has been verified against. Keep it: a from-source gRPC here
# does not buy a faster build, it buys a broken one.
#
# The install-base-deps path is additionally unsafe because it drops protoc 27.1
# into /usr/local/bin, which shadows apt's protoc on PATH and would generate
# protobuf-27 sources to be compiled against 3.21 headers.
FROM ${BASE_IMAGE} AS builder
ARG BUILD_TYPE
ARG TARGETARCH
ARG TARGETVARIANT
ARG APT_MIRROR
ARG APT_PORTS_MIRROR
# Selects the CUDA architecture list in backend/cpp/audio-cpp/Makefile. It has
# to be forwarded: upstream compiles engine_runtime for `native` when
# CMAKE_CUDA_ARCHITECTURES is unset, and no CI runner has a GPU to enumerate.
# The value is the same cuda-major-version the matrix entry declares.
ARG CUDA_MAJOR_VERSION
ENV BUILD_TYPE=${BUILD_TYPE} \
CUDA_MAJOR_VERSION=${CUDA_MAJOR_VERSION} \
APT_MIRROR=${APT_MIRROR} \
APT_PORTS_MIRROR=${APT_PORTS_MIRROR} \
DEBIAN_FRONTEND=noninteractive \
PATH=/usr/local/cuda/bin:${PATH}
WORKDIR /build
# gRPC/protobuf from apt, deliberately; see the block above. libgrpc++-dev ships
# a CMake config so find_package(gRPC CONFIG) resolves, and libprotobuf-dev
# lands in the layout CMake's FindProtobuf module expects, which matters because
# sentencepiece runs a bare find_package(Protobuf REQUIRED) with no CONFIG
# fallback of its own.
#
# BUILD_TYPE=vulkan additionally needs the loader headers and glslc; both are in
# Noble. The CUDA toolkit for BUILD_TYPE=cublas comes from BASE_IMAGE.
RUN --mount=type=bind,source=.docker/apt-mirror.sh,target=/usr/local/sbin/apt-mirror \
sh /usr/local/sbin/apt-mirror && \
apt-get update && \
apt-get install -y --no-install-recommends \
git cmake build-essential pkg-config ca-certificates \
libgrpc++-dev libprotobuf-dev protobuf-compiler protobuf-compiler-grpc && \
if [ "${BUILD_TYPE}" = "vulkan" ]; then \
apt-get install -y --no-install-recommends libvulkan-dev glslc; \
fi && \
if [ "${TARGETARCH}" = "arm64" ]; then \
apt-get install -y --no-install-recommends gcc-14 g++-14; \
fi && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
COPY . /LocalAI
# gcc-14 on arm64, for the same reason llama-cpp does it in
# .docker/llama-cpp-compile.sh: ggml's CPU_ALL_VARIANTS table includes armv9.2
# variants built with -march=...+sme, and Noble's default gcc-13 rejects that
# feature modifier outright ("invalid feature modifier 'sme'"). Every variant in
# the table has to COMPILE even though a host only ever dlopens the one its own
# CPU supports, so one unbuildable variant fails the whole image.
#
# ON EVERY arm64 BUILD_TYPE, which is where this differs from llama-cpp's script
# and why that difference is spelled out rather than assumed. llama-cpp only
# needs gcc-14 for its pure-CPU image because its GPU builds run
# llama-cpp-fallback, which has no variant table at all. This backend's Makefile
# sets ENGINE_ENABLE_CPU_ALL_VARIANTS for every non-Darwin build, GPU included,
# so an arm64 GPU image would hit the identical compile error. Gating this on an
# empty BUILD_TYPE would leave that trap armed for the first arm64 GPU entry
# added to the matrix, which today has none.
RUN --mount=type=cache,target=/root/.ccache,id=audio-cpp-ccache-${TARGETARCH}-${BUILD_TYPE},sharing=locked \
if [ "${TARGETARCH}" = "arm64" ]; then \
export CC=gcc-14 CXX=g++-14; \
fi && \
make -C /LocalAI/backend/cpp/audio-cpp BUILD_TYPE=${BUILD_TYPE} \
CUDA_MAJOR_VERSION=${CUDA_MAJOR_VERSION} NATIVE=false grpc-server package
# The package directory is the whole image: run.sh, grpc-server, the dlopened
# ggml CPU variants, the bundled loader and its library closure, and the
# bundled silero_vad / marblenet_vad assets. Nothing else exists at run time.
FROM scratch
COPY --from=builder /LocalAI/backend/cpp/audio-cpp/package/. ./

160
backend/Dockerfile.bonsai Normal file
View File

@@ -0,0 +1,160 @@
ARG BASE_IMAGE=ubuntu:24.04
# BUILDER_BASE_IMAGE defaults to BASE_IMAGE so the Dockerfile parses even
# when no prebuilt base is supplied. The builder-prebuilt stage is only
# entered when BUILDER_TARGET=builder-prebuilt, so a "wrong" fallback
# content here is harmless — BuildKit prunes the unreferenced builder.
ARG BUILDER_BASE_IMAGE=${BASE_IMAGE}
# BUILDER_TARGET selects which builder stage the final scratch image copies
# package output from. Declared at global scope (before any FROM) so it's
# usable in `FROM ${BUILDER_TARGET}` below. Default keeps local
# `make backends/bonsai` on the from-source path.
ARG BUILDER_TARGET=builder-fromsource
ARG APT_MIRROR=""
ARG APT_PORTS_MIRROR=""
# ============================================================================
# Stage: builder-fromsource — self-contained build path.
# Runs .docker/install-base-deps.sh (apt deps + cmake + protoc + gRPC +
# conditional CUDA/ROCm/Vulkan), copies /opt/grpc to /usr/local, then
# compiles the variant. Used when BUILDER_TARGET=builder-fromsource (the
# default; local `make backends/bonsai`).
#
# The install script is the same one that backend/Dockerfile.base-grpc-builder
# runs, so the result is bit-equivalent to the prebuilt-base path
# (builder-prebuilt below).
# ============================================================================
FROM ${BASE_IMAGE} AS builder-fromsource
ARG BUILD_TYPE
ARG CUDA_MAJOR_VERSION
ARG CUDA_MINOR_VERSION
ARG CMAKE_FROM_SOURCE=false
# CUDA Toolkit 13.x compatibility: CMake 3.31.9+ fixes toolchain detection/arch table issues
ARG CMAKE_VERSION=3.31.10
ARG GRPC_VERSION=v1.65.0
ARG GRPC_MAKEFLAGS="-j4 -Otarget"
ARG SKIP_DRIVERS=false
ARG TARGETARCH
ARG TARGETVARIANT
ARG GO_VERSION=1.25.4
ARG UBUNTU_VERSION=2404
ARG APT_MIRROR
ARG APT_PORTS_MIRROR
ARG AMDGPU_TARGETS=""
ARG BACKEND=rerankers
# CUDA target archs, e.g. --build-arg CUDA_DOCKER_ARCH='75;86;89;120'
ARG CUDA_DOCKER_ARCH
ARG CMAKE_ARGS
ENV BUILD_TYPE=${BUILD_TYPE} \
CUDA_MAJOR_VERSION=${CUDA_MAJOR_VERSION} \
CUDA_MINOR_VERSION=${CUDA_MINOR_VERSION} \
CMAKE_FROM_SOURCE=${CMAKE_FROM_SOURCE} \
CMAKE_VERSION=${CMAKE_VERSION} \
GRPC_VERSION=${GRPC_VERSION} \
GRPC_MAKEFLAGS=${GRPC_MAKEFLAGS} \
SKIP_DRIVERS=${SKIP_DRIVERS} \
TARGETARCH=${TARGETARCH} \
UBUNTU_VERSION=${UBUNTU_VERSION} \
APT_MIRROR=${APT_MIRROR} \
APT_PORTS_MIRROR=${APT_PORTS_MIRROR} \
AMDGPU_TARGETS=${AMDGPU_TARGETS} \
CUDA_DOCKER_ARCH=${CUDA_DOCKER_ARCH} \
CMAKE_ARGS=${CMAKE_ARGS} \
DEBIAN_FRONTEND=noninteractive
# CUDA on PATH (no-op when CUDA isn't installed)
ENV PATH=/usr/local/cuda/bin:${PATH}
# HipBLAS / ROCm on PATH (no-op when ROCm isn't installed)
ENV PATH=/opt/rocm/bin:${PATH}
WORKDIR /build
# Install everything via the shared script — the same one that
# backend/Dockerfile.base-grpc-builder runs, so the prebuilt CI base and
# this from-source path are bit-equivalent.
RUN --mount=type=bind,source=.docker/install-base-deps.sh,target=/usr/local/sbin/install-base-deps \
--mount=type=bind,source=.docker/apt-mirror.sh,target=/usr/local/sbin/apt-mirror \
bash /usr/local/sbin/install-base-deps
# Mirror builder-prebuilt: copy gRPC from /opt/grpc to /usr/local so
# CMake's find_package finds it at the canonical prefix the Makefile expects.
RUN cp -a /opt/grpc/. /usr/local/
COPY . /LocalAI
# BuildKit cache mount for ccache. See Dockerfile.llama-cpp (commit 9228e5b4)
# for rationale. bonsai is a llama.cpp fork that reuses
# backend/cpp/llama-cpp source via a thin wrapper Makefile, so MOST TUs
# are content-identical to the upstream llama-cpp build. Sharing a cache
# id with llama-cpp could give cross-fork hits — but for now keep them
# separate so a regression in one doesn't poison the other. Revisit
# sharing after measuring the actual hit rate.
#
# The compile body is shared with builder-prebuilt via .docker/bonsai-compile.sh.
RUN --mount=type=bind,source=.docker/bonsai-compile.sh,target=/usr/local/sbin/compile.sh \
--mount=type=cache,target=/root/.ccache,id=bonsai-ccache-${TARGETARCH}-${BUILD_TYPE},sharing=locked \
bash /usr/local/sbin/compile.sh
# Copy libraries using a script to handle architecture differences
RUN make -BC /LocalAI/backend/cpp/bonsai package
# ============================================================================
# Stage: builder-prebuilt — uses the pre-built base from
# quay.io/go-skynet/ci-cache:base-grpc-* (built by .github/workflows/base-images.yml).
# That image already has gRPC at /opt/grpc + apt deps + CUDA/ROCm/Vulkan
# pre-installed, so we just copy gRPC to /usr/local and compile. Used when
# BUILDER_TARGET=builder-prebuilt (CI when the matrix entry sets
# builder-base-image).
# ============================================================================
FROM ${BUILDER_BASE_IMAGE} AS builder-prebuilt
ARG BUILD_TYPE
ENV BUILD_TYPE=${BUILD_TYPE}
ARG CUDA_DOCKER_ARCH
ENV CUDA_DOCKER_ARCH=${CUDA_DOCKER_ARCH}
ARG CMAKE_ARGS
ENV CMAKE_ARGS=${CMAKE_ARGS}
# AMDGPU_TARGETS must be forwarded into the env here too — backend/cpp/llama-cpp/Makefile
# (which the bonsai Makefile reuses via a sibling build dir) errors out when the var
# is empty on a hipblas build, and the prebuilt path is what CI exercises most of the
# time. The builder-fromsource stage above already does this; mirror it here.
ARG AMDGPU_TARGETS
ENV AMDGPU_TARGETS=${AMDGPU_TARGETS}
ARG TARGETARCH
ARG TARGETVARIANT
# The base-grpc-* image installs gRPC to /opt/grpc but doesn't copy it to
# /usr/local. Mirror what the from-source path does so the compile step
# can find gRPC at the canonical prefix the Makefile expects.
RUN cp -a /opt/grpc/. /usr/local/
COPY . /LocalAI
RUN --mount=type=bind,source=.docker/bonsai-compile.sh,target=/usr/local/sbin/compile.sh \
--mount=type=cache,target=/root/.ccache,id=bonsai-ccache-${TARGETARCH}-${BUILD_TYPE},sharing=locked \
bash /usr/local/sbin/compile.sh
RUN make -BC /LocalAI/backend/cpp/bonsai package
# ============================================================================
# Final stage — copies package output from one of the two builders.
# BUILDER_TARGET selects which one. BuildKit prunes the unreferenced builder.
#
# BuildKit doesn't support variable expansion in `COPY --from=` directly,
# so we resolve the ARG by aliasing the chosen builder to a fixed stage
# name via `FROM ${BUILDER_TARGET} AS builder` and then COPY --from=builder.
# BUILDER_TARGET itself is declared as a global ARG at the top of this
# file (required for use in FROM), so we just re-import it into this
# stage's scope before the FROM directive.
# ============================================================================
FROM ${BUILDER_TARGET} AS builder
FROM scratch
# Copy all available binaries (the build process only creates the appropriate ones for the target architecture)
COPY --from=builder /LocalAI/backend/cpp/bonsai/package/. ./

View File

@@ -137,7 +137,7 @@ RUN <<EOT bash
libcusolver-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION}
if [ "${CUDA_MAJOR_VERSION}" = "13" ] && [ "arm64" = "$TARGETARCH" ]; then
apt-get install -y --no-install-recommends \
libcufile-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libcudnn9-cuda-${CUDA_MAJOR_VERSION} cuda-cupti-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libnvjitlink-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION}
libcufile-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libcudnn9-cuda-${CUDA_MAJOR_VERSION} libcudnn9-dev-cuda-${CUDA_MAJOR_VERSION} cuda-cupti-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libnvjitlink-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION}
fi
apt-get clean && \
rm -rf /var/lib/apt/lists/*
@@ -221,10 +221,75 @@ RUN if [ "${BACKEND}" = "crispasr" ]; then \
apt-get clean && rm -rf /var/lib/apt/lists/*; \
fi
COPY . /LocalAI
# sherpa-onnx links onnxruntime's CUDA execution provider, and
# libonnxruntime_providers_cuda.so has cuDNN as a hard DT_NEEDED. The
# onnxruntime GPU tarball does not ship cuDNN itself, so without this the
# builder has none (the arm64 + CUDA 13 branch above is the only other place
# that installs it) and package-gpu-libs.sh correctly refuses to produce a
# package that references cuDNN with no cuDNN available to it.
#
# Installed per-backend rather than for every cublas build: the auto-detection
# in package-gpu-libs.sh bundles only what a package actually references, so
# the ggml backends would not grow either way, but they would all pay ~1.1 GB
# of builder layer and registry cache for a library they never call.
#
# Runtime package only, no -dev: sherpa-onnx consumes onnxruntime's prebuilt
# CUDA provider and never compiles against cuDNN headers. libcudnn9-cuda-N
# carries the dispatcher plus all seven dlopen()ed sublibraries, which is what
# complete_cudnn_family needs to assemble a whole bundle.
RUN <<EOT bash
if [ "${BACKEND}" = "sherpa-onnx" ] && [ "${BUILD_TYPE}" = "cublas" ] && [ "${SKIP_DRIVERS}" = "false" ]; then
apt-get update && \
apt-get install -y --no-install-recommends \
libcudnn9-cuda-${CUDA_MAJOR_VERSION} && \
ldconfig && \
apt-get clean && \
rm -rf /var/lib/apt/lists/*
fi
EOT
RUN git config --global --add safe.directory /LocalAI
# Prebuild the native engine from a layer that depends on this backend's own
# directory and nothing else.
#
# The expensive part of a C++ backend build is the engine: each of these
# Makefiles clones an upstream repo at a pinned SHA and compiles it once per
# SIMD variant (depth-anything-cpp builds four: avx, avx2, avx512, fallback),
# and those variant targets depend only on the clone. They cannot observe a
# change anywhere else in the LocalAI tree. Building them below `COPY . /LocalAI`
# threw that away: any Go-side edit invalidated the layer and recompiled C++ that
# had not changed. Measured on 2026-07-30, that is a 100+ minute rebuild for the
# larger engines.
#
# Copying only this backend's directory first keeps the compile in a layer that
# survives any change elsewhere in the tree, so `cache-from: type=registry`
# restores it. That covers the expensive cases directly: a shared-build-input or
# backend.proto change, the weekly full-matrix cron and a tag push all rebuild
# every backend while touching none of their directories. This is the mechanism
# behind base-grpc-* applied one level down; unlike a --mount=type=cache it is a
# real layer, which is what actually survives to the registry.
#
# The whole directory rather than just the Makefile: the CMake targets also need
# CMakeLists.txt, and the file list differs per backend. The cost is that editing
# this backend's Go sources also invalidates the engine layer.
#
# Backends whose Makefile has no `engine` target are unaffected: the guard skips
# the prebuild and their engine still compiles in the `build` step below.
COPY backend/go/${BACKEND}/ /LocalAI/backend/go/${BACKEND}/
RUN cd /LocalAI/backend/go/${BACKEND} && \
if make -n engine >/dev/null 2>&1; then \
echo "==> prebuilding engine for ${BACKEND} (cacheable layer)" && \
make engine; \
else \
echo "==> ${BACKEND} has no engine target; it builds with the backend"; \
fi
COPY . /LocalAI
# The engine variants built above survive this COPY (they are build outputs, not
# tracked files) and are newer than the pinned clone, so make treats them as up
# to date and goes straight to the Go binary.
RUN cd /LocalAI && make protogen-go && make -C /LocalAI/backend/go/${BACKEND} build
FROM scratch

View File

@@ -111,6 +111,10 @@ RUN make -BC /LocalAI/backend/cpp/llama-cpp package
# ============================================================================
FROM ${BUILDER_BASE_IMAGE} AS builder-prebuilt
ARG APT_MIRROR
ENV APT_MIRROR=${APT_MIRROR}
ARG APT_PORTS_MIRROR
ENV APT_PORTS_MIRROR=${APT_PORTS_MIRROR}
ARG BUILD_TYPE
ENV BUILD_TYPE=${BUILD_TYPE}
ARG CUDA_DOCKER_ARCH

View File

@@ -224,7 +224,11 @@ ARG DEPS_REFRESH=initial
RUN cd /${BACKEND} && PORTABLE_PYTHON=true make
# Package GPU libraries into the backend's lib directory
# Package GPU libraries into the backend's lib directory.
#
# Must stay after the venv is built above: package-gpu-libs.sh inspects
# /${BACKEND}/venv to decide whether this backend already carries a complete
# cuDNN from pip, and bundles one only when it does not (issue #10905).
RUN mkdir -p /${BACKEND}/lib && \
TARGET_LIB_DIR="/${BACKEND}/lib" BUILD_TYPE="${BUILD_TYPE}" CUDA_MAJOR_VERSION="${CUDA_MAJOR_VERSION}" \
bash /package-gpu-libs.sh "/${BACKEND}/lib"

View File

@@ -46,6 +46,7 @@ The backend system provides language-specific Dockerfiles that handle the build
- **vllm**: High-performance LLM inference
- **mlx**: Apple Silicon optimization
- **diffusers**: Stable Diffusion models
- **longcat-video**: CUDA text/image-to-video and speech-driven avatar generation
- **Audio**: coqui, faster-whisper, kitten-tts
- **Vision**: mlx-vlm, rfdetr
- **Specialized**: rerankers, chatterbox, kokoro
@@ -55,6 +56,7 @@ The backend system provides language-specific Dockerfiles that handle the build
- **stablediffusion-ggml**: Stable Diffusion in Go with GGML Cpp backend
- **piper**: Text-to-speech synthesis Golang with C bindings using rhaspy/piper
- **local-store**: Vector storage backend
- **valkey-store**: Durable vector storage backend backed by Valkey Search (FT.*)
#### C++ Backends (`cpp/`)
- **llama-cpp**: Llama.cpp integration

View File

@@ -16,12 +16,26 @@ service Backend {
rpc Embedding(PredictOptions) returns (EmbeddingResult) {}
rpc GenerateImage(GenerateImageRequest) returns (Result) {}
rpc GenerateVideo(GenerateVideoRequest) returns (Result) {}
rpc Generate3D(Generate3DRequest) returns (Result) {}
rpc AudioTranscription(TranscriptRequest) returns (TranscriptResult) {}
rpc AudioTranscriptionStream(TranscriptRequest) returns (stream TranscriptStreamResponse) {}
// AudioTranscriptionLive is the bidirectional live-microphone ASR RPC. The
// first message MUST carry a Config; subsequent messages carry Audio frames
// (mono float PCM at config.sample_rate, 16 kHz default). After a
// successful open the backend replies with a single ready ack
// (TranscriptLiveResponse{ready:true}); backends or models without
// cache-aware streaming support return UNIMPLEMENTED instead. Newly
// finalized text streams back as deltas; eou=true marks the model's
// end-of-utterance token. One stream spans many utterances (the decoder
// resets itself after each EOU). Closing the send side finalizes: the
// backend flushes the decoder tail and emits a terminal message carrying
// final_result. A second Config mid-stream resets the decode session.
rpc AudioTranscriptionLive(stream TranscriptLiveRequest) returns (stream TranscriptLiveResponse) {}
rpc TTS(TTSRequest) returns (Result) {}
rpc TTSStream(TTSRequest) returns (stream Reply) {}
rpc SoundGeneration(SoundGenerationRequest) returns (Result) {}
rpc TokenizeString(PredictOptions) returns (TokenizationResponse) {}
rpc Detokenize(DetokenizeRequest) returns (DetokenizeResponse) {}
rpc Status(HealthMessage) returns (StatusResponse) {}
rpc Detect(DetectOptions) returns (DetectResponse) {}
// SoundDetection runs an audio-tagging / sound-event-classification model
@@ -124,6 +138,10 @@ message MetricsResponse {
message TokenClassifyRequest {
string text = 1;
float threshold = 2;
// ModelIdentity names the model this request is for; see
// PredictOptions.ModelIdentity for the full rationale. Empty means "no
// identity supplied" and backends MUST skip the check.
string ModelIdentity = 3;
}
// TokenClassifyEntity is one detected entity span. Byte offsets are
@@ -161,6 +179,17 @@ message ScoreRequest {
// candidates differ in length and the consumer wants a per-token
// measure comparable across them (PMI-style scoring).
bool length_normalize = 4;
// ModelIdentity names the model this request is for; see
// PredictOptions.ModelIdentity for the full rationale. Empty means "no
// identity supplied" and backends MUST skip the check.
string ModelIdentity = 5;
// Byte length of the prompt prefix that stays identical across
// repeated scoring calls (e.g. a classifier's option-list system
// prompt — everything before the per-turn probe text). Backends that
// snapshot state (hybrid/recurrent models cannot rewind otherwise)
// use it to place a reuse point exactly at the boundary, so the next
// call re-processes only the tokens after it. 0 means unknown.
int32 stable_prefix_len = 6;
}
// CandidateScore is one row in the ScoreResponse, matching by index
@@ -192,6 +221,10 @@ message RerankRequest {
string query = 1;
repeated string documents = 2;
int32 top_n = 3;
// ModelIdentity names the model this request is for; see
// PredictOptions.ModelIdentity for the full rationale. Empty means "no
// identity supplied" and backends MUST skip the check.
string ModelIdentity = 4;
}
message RerankResult {
@@ -303,6 +336,39 @@ message PredictOptions {
int32 TopLogprobs = 51; // Number of top logprobs to return per token (maps to OpenAI top_logprobs parameter)
map<string, string> Metadata = 52; // Generic per-request metadata (e.g., enable_thinking)
float MinP = 53; // Minimum probability sampling threshold (0.0 = disabled)
// ModelIdentity names the model this request is for, so a backend can reject
// a request that reached it by mistake instead of answering from whatever
// model it happens to hold. In distributed mode a worker can recycle a
// stopped backend's gRPC port for a different model's backend, and a
// liveness-only health probe cannot tell that apart from a valid cached
// route (#10952).
//
// The value is the controller's ModelConfig.Model, the SAME expression that
// produces ModelOptions.Model at LoadModel time, so the two are equal by
// construction rather than by convention.
//
// Empty means "no identity supplied": backends MUST skip the check. That
// keeps an old controller talking to a new backend working, and covers
// callers that legitimately synthesize a PredictOptions internally.
//
// Do NOT reuse TTSRequest.model or SoundGenerationRequest.model for this
// purpose. FileStagingClient already rewrites those to worker-local absolute
// paths (core/services/nodes/file_staging_client.go), so in distributed mode
// they already differ from the load-time value and comparing them would
// reject valid requests. Extending identity to those RPCs needs a separate
// field carrying the untranslated value - which is exactly what
// TTSRequest.ModelIdentity and SoundGenerationRequest.ModelIdentity are.
//
// Every other request message that reaches a backend through the distributed
// router now carries the same ModelIdentity field, populated from the same
// ModelConfig.Model. FileStagingClient rewrites Src/Dst/Voice/Model/
// StartImage/EndImage/Audio and never ModelIdentity, so what the backend
// compares is always what the controller sent.
string ModelIdentity = 54;
// 24 was never assigned; reserve it so it is not silently reused.
reserved 24;
}
// ToolCallDelta represents an incremental tool call update from the C++ parser.
@@ -436,6 +502,11 @@ message ModelOptions {
// Proxy carries the cloud-proxy backend's per-model configuration.
// Empty for non-proxy backends.
ProxyOptions Proxy = 74;
// EnableScore reserves backend resources for the Score RPC. It is derived
// from the model's explicit `known_usecases: [score]` declaration so models
// that never score retain their ordinary serving footprint.
bool EnableScore = 75;
}
// ProxyOptions configures the cloud-proxy backend. UpstreamURL and
@@ -451,6 +522,12 @@ message ProxyOptions {
string api_key_file = 5;
string upstream_model = 6;
int32 request_timeout_seconds = 7;
// cache_prompt enables automatic Anthropic prompt-cache breakpoints
// (cache_control: ephemeral) on the stable prefix — system, tools, and
// the last message block — when translating to the Anthropic provider.
// Cuts input cost on repeated/agentic calls (cache read = 0.1x). Only
// meaningful for mode=translate + provider=anthropic; ignored otherwise.
bool cache_prompt = 8;
}
message Result {
@@ -472,6 +549,10 @@ message TranscriptRequest {
float temperature = 8;
repeated string timestamp_granularities = 9;
bool stream = 10;
// ModelIdentity names the model this request is for; see
// PredictOptions.ModelIdentity for the full rationale. Empty means "no
// identity supplied" and backends MUST skip the check.
string ModelIdentity = 11;
}
message TranscriptResult {
@@ -479,6 +560,10 @@ message TranscriptResult {
string text = 2;
string language = 3;
float duration = 4;
// True when the decode ended on the model's end-of-utterance special token
// (<EOU>/<EOB>, emitted by cache-aware streaming models such as
// parakeet_realtime_eou_120m-v1). The marker itself is stripped from text.
bool eou = 5;
}
message TranscriptStreamResponse {
@@ -486,6 +571,34 @@ message TranscriptStreamResponse {
TranscriptResult final_result = 2;
}
// === AudioTranscriptionLive messages =====================================
message TranscriptLiveRequest {
oneof payload {
TranscriptLiveConfig config = 1;
TranscriptLiveAudio audio = 2;
}
}
message TranscriptLiveConfig {
string language = 1; // "" => model default
int32 sample_rate = 2; // 0 => 16000; backends may reject others
map<string, string> params = 3; // backend-specific tuning
}
message TranscriptLiveAudio {
repeated float pcm = 1; // mono PCM in [-1,1] at config.sample_rate
}
message TranscriptLiveResponse {
bool ready = 1; // open ack: sent once, before any delta
string delta = 2; // newly-finalized text since previous response
bool eou = 3; // <EOU> fired during this feed (the user yielded the turn)
repeated TranscriptWord words = 4; // words finalized by this feed (stream-relative ns)
TranscriptResult final_result = 5; // terminal message only, after the send side closes
bool eob = 6; // <EOB> fired: a backchannel ("uh-huh") ended — NOT a turn boundary
}
message TranscriptWord {
int64 start = 1;
int64 end = 2;
@@ -518,6 +631,10 @@ message GenerateImageRequest {
// Reference images for models that support them (e.g., Flux Kontext)
repeated string ref_images = 12;
// ModelIdentity names the model this request is for; see
// PredictOptions.ModelIdentity for the full rationale. Empty means "no
// identity supplied" and backends MUST skip the check.
string ModelIdentity = 13;
}
message GenerateVideoRequest {
@@ -533,6 +650,28 @@ message GenerateVideoRequest {
float cfg_scale = 10; // Classifier-free guidance scale
int32 step = 11; // Number of inference steps
string dst = 12; // Output path for the generated video
string audio = 13; // Path to staged audio for audio-conditioned video
// Backend-specific per-request generation parameters. Values are strings
// and are validated/coerced by the selected backend.
map<string, string> params = 14;
// ModelIdentity names the model this request is for; see
// PredictOptions.ModelIdentity for the full rationale. Empty means "no
// identity supplied" and backends MUST skip the check.
string ModelIdentity = 15;
}
message Generate3DRequest {
string src = 1; // Path to the staged conditioning image (3D generation is image-conditioned)
string dst = 2; // Output path for the generated binary glTF (.glb) asset
int32 seed = 3; // <=0 lets the backend pick a random seed
int32 step = 4; // Flow sampling steps; <=0 uses the backend default
float cfg_scale = 5; // Classifier-free guidance scale; <=0 uses the backend default
int32 texture_steps = 6; // Texture flow sampling steps; <=0 uses the backend default
string quality = 7; // Mesh pipeline: ""|"auto"|"coarse"|"512"|"1024"
string background = 8; // Conditioning-image background handling: ""|"auto"|"keep"|"black"|"white"
// Backend-specific per-request generation parameters. Values are strings
// and are validated/coerced by the selected backend.
map<string, string> params = 9;
}
message TTSRequest {
@@ -550,10 +689,26 @@ message TTSRequest {
// (e.g. Chatterbox exaggeration/cfg_weight/temperature). Values are strings and
// coerced by the backend; unset leaves the backend's configured defaults.
map<string, string> params = 7;
// ModelIdentity is a SEPARATE field from `model` above and carries the
// UNTRANSLATED controller-side ModelConfig.Model, so a backend can reject a
// request that reached it through a stale distributed route (#10952).
//
// `model` cannot be reused for this: FileStagingClient.TTS/.TTSStream and the
// SoundGeneration path rewrite it into a worker-local absolute path
// (core/services/nodes/file_staging_client.go), while the load-time value is
// untranslated. In distributed mode - exactly the configuration this guards -
// the two already differ, so comparing them would reject valid requests.
//
// Empty means "no identity supplied" and backends MUST skip the check.
string ModelIdentity = 8;
}
message VADRequest {
repeated float audio = 1;
// ModelIdentity names the model this request is for; see
// PredictOptions.ModelIdentity for the full rationale. Empty means "no
// identity supplied" and backends MUST skip the check.
string ModelIdentity = 2;
}
message VADSegment {
@@ -585,6 +740,10 @@ message DiarizeRequest {
float min_duration_on = 8; // discard segments shorter than this (seconds); 0 = backend default
float min_duration_off = 9; // merge gaps shorter than this (seconds); 0 = backend default
bool include_text = 10; // when the backend can emit per-segment transcript for free, ask it to populate `text`
// ModelIdentity names the model this request is for; see
// PredictOptions.ModelIdentity for the full rationale. Empty means "no
// identity supplied" and backends MUST skip the check.
string ModelIdentity = 11;
}
message DiarizeSegment {
@@ -619,6 +778,18 @@ message SoundGenerationRequest {
optional string language = 14;
optional string timesignature = 15;
optional bool instrumental = 17;
// ModelIdentity is a SEPARATE field from `model` above and carries the
// UNTRANSLATED controller-side ModelConfig.Model, so a backend can reject a
// request that reached it through a stale distributed route (#10952).
//
// `model` cannot be reused for this: FileStagingClient.TTS/.TTSStream and the
// SoundGeneration path rewrite it into a worker-local absolute path
// (core/services/nodes/file_staging_client.go), while the load-time value is
// untranslated. In distributed mode - exactly the configuration this guards -
// the two already differ, so comparing them would reject valid requests.
//
// Empty means "no identity supplied" and backends MUST skip the check.
string ModelIdentity = 18;
}
message TokenizationResponse {
@@ -626,6 +797,14 @@ message TokenizationResponse {
repeated int32 tokens = 2;
}
message DetokenizeRequest {
repeated int32 tokens = 1;
}
message DetokenizeResponse {
string content = 1;
}
message MemoryUsageData {
uint64 total = 1;
map<string, uint64> breakdown = 2;
@@ -658,6 +837,10 @@ message DetectOptions {
repeated float points = 3; // Point coordinates as [x1, y1, label1, x2, y2, label2, ...] (label: 1=pos, 0=neg)
repeated float boxes = 4; // Box coordinates as [x1, y1, x2, y2, ...]
float threshold = 5; // Detection confidence threshold
// ModelIdentity names the model this request is for; see
// PredictOptions.ModelIdentity for the full rationale. Empty means "no
// identity supplied" and backends MUST skip the check.
string ModelIdentity = 6;
}
message Detection {
@@ -680,6 +863,10 @@ message SoundDetectionRequest {
string src = 1; // audio file path (LocalAI writes the upload to disk)
int32 top_k = 2; // number of top tags to return (0 = all classes)
float threshold = 3; // optional: drop tags scoring below this
// ModelIdentity names the model this request is for; see
// PredictOptions.ModelIdentity for the full rationale. Empty means "no
// identity supplied" and backends MUST skip the check.
string ModelIdentity = 4;
}
message SoundClass {
@@ -704,6 +891,10 @@ message DepthRequest {
bool include_points = 7; // back-project to a 3D point cloud (DualDPT)
float points_conf_thresh = 8; // keep points with confidence >= this threshold
repeated string exports = 9; // requested exports: "glb", "colmap"
// ModelIdentity names the model this request is for; see
// PredictOptions.ModelIdentity for the full rationale. Empty means "no
// identity supplied" and backends MUST skip the check.
string ModelIdentity = 10;
}
message DepthResponse {
@@ -735,6 +926,10 @@ message FaceVerifyRequest {
string img2 = 2; // base64-encoded image
float threshold = 3; // cosine-distance threshold; 0 = use backend default
bool anti_spoofing = 4; // run MiniFASNet liveness on each image; failed liveness forces verified=false
// ModelIdentity names the model this request is for; see
// PredictOptions.ModelIdentity for the full rationale. Empty means "no
// identity supplied" and backends MUST skip the check.
string ModelIdentity = 5;
}
message FaceVerifyResponse {
@@ -756,6 +951,10 @@ message FaceAnalyzeRequest {
string img = 1; // base64-encoded image
repeated string actions = 2; // subset of ["age","gender","emotion","race"]; empty = all-supported
bool anti_spoofing = 3;
// ModelIdentity names the model this request is for; see
// PredictOptions.ModelIdentity for the full rationale. Empty means "no
// identity supplied" and backends MUST skip the check.
string ModelIdentity = 4;
}
message FaceAnalysis {
@@ -788,6 +987,10 @@ message VoiceVerifyRequest {
string audio2 = 2; // path to second audio clip
float threshold = 3; // cosine-distance threshold; 0 = use backend default
bool anti_spoofing = 4; // reserved for future AASIST bolt-on
// ModelIdentity names the model this request is for; see
// PredictOptions.ModelIdentity for the full rationale. Empty means "no
// identity supplied" and backends MUST skip the check.
string ModelIdentity = 5;
}
message VoiceVerifyResponse {
@@ -802,6 +1005,10 @@ message VoiceVerifyResponse {
message VoiceAnalyzeRequest {
string audio = 1; // path to audio clip
repeated string actions = 2; // subset of ["age","gender","emotion"]; empty = all-supported
// ModelIdentity names the model this request is for; see
// PredictOptions.ModelIdentity for the full rationale. Empty means "no
// identity supplied" and backends MUST skip the check.
string ModelIdentity = 3;
}
message VoiceAnalysis {
@@ -820,6 +1027,10 @@ message VoiceAnalyzeResponse {
message VoiceEmbedRequest {
string audio = 1; // path to audio clip
// ModelIdentity names the model this request is for; see
// PredictOptions.ModelIdentity for the full rationale. Empty means "no
// identity supplied" and backends MUST skip the check.
string ModelIdentity = 2;
}
message VoiceEmbedResponse {
@@ -914,6 +1125,18 @@ message AudioTransformRequest {
string reference_path = 2; // optional auxiliary; empty => zero-fill
string dst = 3; // required, output file path
map<string, string> params = 4; // backend-specific tuning
// ModelIdentity names the model this request is for; see
// PredictOptions.ModelIdentity for the full rationale. Empty means "no
// identity supplied" and backends MUST skip the check.
string ModelIdentity = 5;
}
// One named output of a transform that produces several from a single run.
// Source separation is the case that needs it: htdemucs yields drums, bass,
// other and vocals from one pass over the input.
message AudioTransformStem {
string name = 1; // the model's own stem id, e.g. "vocals"
string dst = 2; // path of the file written for that stem
}
message AudioTransformResult {
@@ -921,6 +1144,15 @@ message AudioTransformResult {
int32 sample_rate = 2;
int32 samples = 3;
bool reference_provided = 4;
// Every named output the run produced, in the model's own order, including
// the one copied into dst. Empty for a transform with a single output.
//
// It exists because dst carries one file while separation produces several,
// and running the model once per stem would cost four full separations of
// the same audio. The backend runs once, writes each stem beside dst, and
// names them here; without this field the other stems are on disk but no
// caller can find them, which is the same as not having produced them.
repeated AudioTransformStem stems = 5;
}
// Bidirectional streaming audio transform. The first message MUST carry a
@@ -1212,4 +1444,3 @@ message ForwardReply {
repeated ForwardHeader headers = 2;
bytes body_chunk = 3;
}

8
backend/cpp/audio-cpp/.gitignore vendored Normal file
View File

@@ -0,0 +1,8 @@
audio.cpp/
build/
package/
grpc-server
backend.pb.cc
backend.pb.h
backend.grpc.pb.cc
backend.grpc.pb.h

View File

@@ -0,0 +1,331 @@
cmake_minimum_required(VERSION 3.20)
project(audio-cpp-grpc-server LANGUAGES C CXX)
set(CMAKE_CXX_STANDARD 17)
set(CMAKE_CXX_STANDARD_REQUIRED ON)
set(TARGET grpc-server)
set(AUDIO_CPP_DIR "${CMAKE_CURRENT_SOURCE_DIR}/audio.cpp"
CACHE PATH "Path to the pinned audio.cpp checkout")
option(AUDIO_CPP_GRPC_BUILD_TESTS "Build engine-linked ctest binaries" OFF)
if(NOT EXISTS "${AUDIO_CPP_DIR}/CMakeLists.txt")
message(FATAL_ERROR
"AUDIO_CPP_DIR does not contain an audio.cpp checkout: ${AUDIO_CPP_DIR}. "
"Run 'make audio.cpp' first.")
endif()
if(APPLE)
# Homebrew installs protobuf/grpc under a non-default prefix.
if(CMAKE_HOST_SYSTEM_PROCESSOR MATCHES "arm64")
set(HOMEBREW_DEFAULT_PREFIX "/opt/homebrew")
else()
set(HOMEBREW_DEFAULT_PREFIX "/usr/local")
endif()
link_directories("${HOMEBREW_DEFAULT_PREFIX}/lib")
include_directories("${HOMEBREW_DEFAULT_PREFIX}/include")
endif()
find_package(Threads REQUIRED)
find_package(Protobuf CONFIG QUIET)
if(NOT Protobuf_FOUND)
find_package(Protobuf REQUIRED)
endif()
find_package(gRPC CONFIG QUIET)
if(NOT gRPC_FOUND)
# Reached only on distros whose grpc++ packaging ships no CMake config.
# Ubuntu's libgrpc-dev does ship one, so this is dead code on LocalAI's own
# build distro. Kept for the distros that do not.
find_library(GRPCPP_LIB grpc++ REQUIRED)
find_library(GRPCPP_REFLECTION_LIB grpc++_reflection REQUIRED)
add_library(gRPC::grpc++ INTERFACE IMPORTED)
set_target_properties(gRPC::grpc++ PROPERTIES
INTERFACE_LINK_LIBRARIES "${GRPCPP_LIB}")
add_library(gRPC::grpc++_reflection INTERFACE IMPORTED)
set_target_properties(gRPC::grpc++_reflection PROPERTIES
INTERFACE_LINK_LIBRARIES "${GRPCPP_REFLECTION_LIB}")
endif()
find_program(_PROTOC NAMES protoc REQUIRED)
find_program(_GRPC_CPP_PLUGIN NAMES grpc_cpp_plugin REQUIRED)
get_filename_component(HW_PROTO "${CMAKE_CURRENT_SOURCE_DIR}/../../backend.proto" ABSOLUTE)
get_filename_component(HW_PROTO_PATH "${HW_PROTO}" PATH)
set(HW_PROTO_SRCS "${CMAKE_CURRENT_BINARY_DIR}/backend.pb.cc")
set(HW_PROTO_HDRS "${CMAKE_CURRENT_BINARY_DIR}/backend.pb.h")
set(HW_GRPC_SRCS "${CMAKE_CURRENT_BINARY_DIR}/backend.grpc.pb.cc")
set(HW_GRPC_HDRS "${CMAKE_CURRENT_BINARY_DIR}/backend.grpc.pb.h")
add_custom_command(
OUTPUT "${HW_PROTO_SRCS}" "${HW_PROTO_HDRS}" "${HW_GRPC_SRCS}" "${HW_GRPC_HDRS}"
COMMAND ${_PROTOC}
ARGS --grpc_out "${CMAKE_CURRENT_BINARY_DIR}"
--cpp_out "${CMAKE_CURRENT_BINARY_DIR}"
-I "${HW_PROTO_PATH}"
--plugin=protoc-gen-grpc="${_GRPC_CPP_PLUGIN}"
"${HW_PROTO}"
DEPENDS "${HW_PROTO}")
add_library(hw_grpc_proto STATIC
${HW_GRPC_SRCS} ${HW_GRPC_HDRS}
${HW_PROTO_SRCS} ${HW_PROTO_HDRS})
target_include_directories(hw_grpc_proto PUBLIC ${CMAKE_CURRENT_BINARY_DIR})
# Required on macOS: without these the Homebrew protobuf/grpc include dirs never
# reach this target and google/protobuf/runtime_version.h is not found.
target_link_libraries(hw_grpc_proto PUBLIC protobuf::libprotobuf gRPC::grpc++)
# TWO PROTOBUF RUNTIMES IN ONE BINARY, AND THE ONE THAT WON WAS THE WRONG ONE.
#
# engine_runtime links sentencepiece, whose default SPM_PROTOBUF_PROVIDER
# ("internal") builds the protobuf-lite 3.14.0 sources vendored under
# external/sentencepiece/third_party/protobuf-lite. Our generated backend.pb.cc
# is compiled against the toolchain's protobuf 3.21.12 headers and links
# libprotobuf.so 3.21.12. Both used to end up in the executable: 476
# google::protobuf:: symbols from that archive, 278 of them also defined by
# libprotobuf.so.
#
# The binding is decided at STATIC LINK time. Once ld pulls a sentencepiece
# member in for sentencepiece's own code, that member's protobuf definitions are
# in the executable and references from libhw_grpc_proto.a bind to them. Do NOT
# reach for -Wl,--exclude-libs: it flips those symbols to LOCAL in .dynsym and
# the breakage is unchanged, because no visibility flag revisits a static
# binding already made.
#
# What broke, measured rather than assumed:
# google::protobuf::internal::ParseContext::ParseMessage(MessageLite*, const char*)
# is what every generated _InternalParse calls for a SUBMESSAGE field and for
# nothing else. Bound to the 3.14 definition it fails, so a flat message parsed
# and every nested one did not: a TranscriptResult carrying segments serialized
# to correct bytes that the same process could not read back, and
# TranscriptLiveRequest, a oneof of submessages, could not have been parsed at
# all. 3.21 generated code was also running 3.14 arena, ArenaStringPtr and
# ExtensionSet code, which is an ABI mismatch rather than a missing feature, so
# "not observed to bite yet" was never a reason to leave it.
#
# "package" makes sentencepiece use the protobuf found above, which is the one
# the generated code was built against. It must be set before add_subdirectory,
# since that is when sentencepiece's own cache entry is created.
#
# WHAT THAT BUYS IS ONE PROTOBUF RUNTIME, not an executable free of protobuf
# symbols, and the difference matters to whoever checks this next. Measured with
# nm -C --defined-only on the linked grpc-server, 2515 google::protobuf::
# symbols are still DEFINED in it, and that is what should be there: they are
# generated code, sentencepiece::ModelProto's own _InternalParse and
# CheckTypeAndMergeFrom among them, which name protobuf types in their
# signatures and are compiled into every user of a .proto. Expecting zero would
# send a reader looking for a regression that is not one.
#
# The claim that decides whether the ABI mismatch above is gone is the RUNTIME
# one, and it holds: google::protobuf::internal::ParseContext::ParseMessage is
# UNDEFINED in the executable, so every generated _InternalParse resolves it to
# libprotobuf.so at load instead of to a vendored 3.14 copy. No vendored
# protobuf-lite archive is pulled in at all, and citrinet_asr, which parses a
# SentencePiece ModelProto at load, tokenizes correctly as a result.
set(SPM_PROTOBUF_PROVIDER "package" CACHE STRING
"Make sentencepiece use the found protobuf, not its vendored 3.14 copy" FORCE)
# Upstream's global add_compile_options(-Wall -Wextra -Wpedantic -pedantic-errors)
# is a directory property of the subdirectory and does not reach our targets.
#
# EXCLUDE_FROM_ALL is load-bearing, do not drop it: upstream's default target set
# includes its CLI, server, converter and test binaries, none of which we ship.
# Without it every build would compile all of them. The targets we do name in
# target_link_libraries below are still built on demand, so nothing is lost.
add_subdirectory("${AUDIO_CPP_DIR}" "${CMAKE_CURRENT_BINARY_DIR}/audio-cpp" EXCLUDE_FROM_ALL)
add_executable(${TARGET}
grpc-server.cpp
model_options.cpp
capability_routing.cpp
family_gate.cpp
loaded_model.cpp
audio_io.cpp
audio_units.cpp
transcript_assembly.cpp
result_map.cpp
stem_selection.cpp
generation_request.cpp
stream_delta.cpp
wav_header.cpp
inference_lane.cpp
live_watchdog.cpp
)
# Two files carry a switch over an enum with no `default:` label, deliberately,
# so that -Wswitch reports an enumerator nobody handled. -Wswitch is only a
# warning by default, and a warning in a 600-file build log is a warning nobody
# reads, so it is promoted to an error on exactly these two translation units.
# Not project-wide: upstream's own sources are not held to this, and they are
# where the churn is.
#
# loaded_model.cpp mirrors engine::runtime::VoiceTaskKind onto its own Task enum.
# Its static_asserts catch an insertion or a reorder, but an enumerator APPENDED
# after the last one shifts no value, so no assertion can see it. What does see
# it is from_engine_task's switch over the engine enum. This is the difference
# between a build failure and a backend that silently runs the wrong task.
#
# capability_routing.cpp's unsupported_surface() switches UnsupportedRpc onto the
# row of unsupported_surfaces() that explains it. Left as a warning, a sixth
# enumerator added without a row BUILDS AND SHIPS, and its trailing
# `return surfaces[0];` then answers the new RPC with AudioEncode's codec reason:
# a confident, specific and false statement about audio.cpp, on the wire, on the
# one code path whose entire job is to be truthful about what this backend
# cannot do. Verified rather than assumed: adding a sixth enumerator and building
# the shipping target produced exit 0, a binary, and one warning. A compile-time
# check is the better trade than the runtime fallback it replaced only if it is
# fatal, so here it is fatal.
if(NOT MSVC)
set_source_files_properties(loaded_model.cpp capability_routing.cpp
PROPERTIES COMPILE_OPTIONS "-Werror=switch")
endif()
target_include_directories(${TARGET} PRIVATE
"${AUDIO_CPP_DIR}/include"
"${CMAKE_CURRENT_SOURCE_DIR}")
# The shipping binary is held to the same bar as the tests below. Upstream's own
# add_compile_options is a property of its directory and never reached this
# target, so until now "the build was clean" meant only that nothing was being
# checked.
if(NOT MSVC)
target_compile_options(${TARGET} PRIVATE -Wall -Wextra -Wpedantic)
endif()
target_link_libraries(${TARGET} PRIVATE
hw_grpc_proto
engine_runtime
ggml
gRPC::grpc++
gRPC::grpc++_reflection
protobuf::libprotobuf
Threads::Threads)
# ENGINE_ENABLE_CPU_ALL_VARIANTS builds ggml backends as shared objects that sit
# next to the binary in the package, so the binary must search its own directory.
# BUILD_WITH_INSTALL_RPATH keeps the build-tree binary at exactly "$ORIGIN".
# Upstream sets CMAKE_BUILD_WITH_INSTALL_RPATH in its own directory scope, which
# does not reach ours, so without this CMake also appends its build-tree library
# directory. That absolute build-host path would survive into the copied binary
# and let a package.sh that forgot to bundle libggml*.so still pass on the build
# machine while failing everywhere else.
set_target_properties(${TARGET} PROPERTIES
BUILD_RPATH "$ORIGIN"
INSTALL_RPATH "$ORIGIN"
BUILD_WITH_INSTALL_RPATH TRUE)
if(AUDIO_CPP_GRPC_BUILD_TESTS)
enable_testing()
# These are the units whose tests CANNOT run under
# backend/cpp/run-unit-tests.sh, because that script compiles each
# *_test.cpp standalone with no protobuf and no audio.cpp include path.
# They are named *_ctest.cpp so the script's glob does not pick them up and
# fail every backend's suite; everything that can be stdlib-only still is,
# and still lives in a *_test.cpp beside its unit.
add_executable(result_map_ctest
result_map_ctest.cpp
result_map.cpp
transcript_assembly.cpp
audio_units.cpp)
target_include_directories(result_map_ctest PRIVATE
"${AUDIO_CPP_DIR}/include"
"${CMAKE_CURRENT_SOURCE_DIR}"
# session.h reaches ggml.h through core/backend.h. Every other target
# here inherits that directory from the ggml target it links; this one
# links no ggml, so it has to name it.
"${AUDIO_CPP_DIR}/external/ggml/include")
# No engine_runtime: result_map touches only the plain structs in
# engine/framework/runtime/session.h, so the header is all it needs.
target_link_libraries(result_map_ctest PRIVATE
hw_grpc_proto
protobuf::libprotobuf
Threads::Threads)
target_compile_options(result_map_ctest PRIVATE -Wall -Wextra -Wpedantic)
add_test(NAME result_map COMMAND result_map_ctest)
# Same shape as result_map_ctest: generation_request touches only the plain
# structs in engine/framework/runtime/session.h plus the generated protobuf
# messages, so the headers are all it needs and no engine_runtime is linked.
add_executable(generation_request_ctest
generation_request_ctest.cpp
generation_request.cpp)
target_include_directories(generation_request_ctest PRIVATE
"${AUDIO_CPP_DIR}/include"
"${CMAKE_CURRENT_SOURCE_DIR}"
# session.h reaches ggml.h through core/backend.h, and this target links
# no ggml, so it has to name the include directory itself.
"${AUDIO_CPP_DIR}/external/ggml/include")
target_link_libraries(generation_request_ctest PRIVATE
hw_grpc_proto
protobuf::libprotobuf
Threads::Threads)
target_compile_options(generation_request_ctest PRIVATE -Wall -Wextra -Wpedantic)
add_test(NAME generation_request COMMAND generation_request_ctest)
add_executable(audio_io_ctest
audio_io_ctest.cpp
audio_io.cpp)
target_include_directories(audio_io_ctest PRIVATE
"${AUDIO_CPP_DIR}/include"
"${CMAKE_CURRENT_SOURCE_DIR}")
target_link_libraries(audio_io_ctest PRIVATE
engine_runtime
ggml
Threads::Threads)
target_compile_options(audio_io_ctest PRIVATE -Wall -Wextra -Wpedantic)
set_target_properties(audio_io_ctest PROPERTIES
BUILD_RPATH "$ORIGIN"
INSTALL_RPATH "$ORIGIN"
BUILD_WITH_INSTALL_RPATH TRUE)
add_test(NAME audio_io COMMAND audio_io_ctest)
# The streaming drivers live in loaded_model.cpp, which links the engine, so
# this cannot be a standalone *_test.cpp. It builds no model and reads no
# file: LoadedModel::Session is a plain struct holding a pointer to an
# engine interface, so the drivers are exercised against fake sessions.
add_executable(streaming_driver_ctest
streaming_driver_ctest.cpp
loaded_model.cpp
capability_routing.cpp
family_gate.cpp
model_options.cpp
inference_lane.cpp)
target_include_directories(streaming_driver_ctest PRIVATE
"${AUDIO_CPP_DIR}/include"
"${CMAKE_CURRENT_SOURCE_DIR}")
target_link_libraries(streaming_driver_ctest PRIVATE
engine_runtime
ggml
Threads::Threads)
target_compile_options(streaming_driver_ctest PRIVATE -Wall -Wextra -Wpedantic)
# No "$ORIGIN" rpath override here, unlike the shipping target and unlike
# audio_io_ctest. loaded_model.cpp reaches make_default_registry, so this
# binary genuinely links libggml, and CMake's own build-tree rpath is what
# finds it: the ggml shared objects land in ${CMAKE_CURRENT_BINARY_DIR}/bin
# while the test binary sits one directory up. A build-host absolute path in
# a test binary is harmless, since package.sh ships only grpc-server, and
# forcing "$ORIGIN" here means ctest cannot start the binary at all.
add_test(NAME streaming_driver COMMAND streaming_driver_ctest)
# Asserts that the upstream ABSENCES capability_routing.cpp's refusal
# messages rest on are still absences, by querying make_default_registry()
# rather than by re-reading upstream. This is what makes an AUDIO_CPP_VERSION
# bump that adds a codec task kind, an spk family or a streaming converter
# fail the build instead of leaving a false statement on the wire.
#
# It links engine_runtime purely to run that query, which is why it lives
# here rather than with the standalone *_test.cpp files, and it needs no
# "$ORIGIN" rpath override for the same reason streaming_driver_ctest does
# not: see the note above.
add_executable(upstream_absence_ctest upstream_absence_ctest.cpp)
target_include_directories(upstream_absence_ctest PRIVATE
"${AUDIO_CPP_DIR}/include"
"${CMAKE_CURRENT_SOURCE_DIR}")
target_link_libraries(upstream_absence_ctest PRIVATE
engine_runtime
ggml
Threads::Threads)
target_compile_options(upstream_absence_ctest PRIVATE -Wall -Wextra -Wpedantic)
add_test(NAME upstream_absence COMMAND upstream_absence_ctest)
endif()

View File

@@ -0,0 +1,172 @@
# audio.cpp backend Makefile.
#
# Upstream pin lives below in the AUDIO_CPP_VERSION variable, so
# .github/bump_deps.sh can find and update it, matching the llama-cpp / ds4
# convention. That script seds every line matching the variable name followed by
# an assignment, so this comment deliberately spells the name on its own: a
# comment repeating the full assignment token gets rewritten and mangled by the
# first auto-bump (backend/cpp/ds4/Makefile shows the damage). The clone
# recipe is a make target (not a prepare.sh) so 'make purge && make' is a clean
# rebuild and so the bump bot can see the pin.
AUDIO_CPP_VERSION?=545e29a6f2fde24298cb3b0f07baab4352987ac9
AUDIO_CPP_REPO?=https://github.com/0xShug0/audio.cpp
CURRENT_MAKEFILE_DIR := $(dir $(abspath $(lastword $(MAKEFILE_LIST))))
BUILD_DIR := build
BUILD_TYPE ?=
NATIVE ?= false
JOBS ?= $(shell nproc 2>/dev/null || sysctl -n hw.ncpu 2>/dev/null || echo 4)
UNAME_S := $(shell uname -s)
# AUDIOCPP_DEPLOYMENT_BUILD compiles the model_specs/*.json catalog into
# engine_runtime, so the shipped package needs no model_specs directory and a
# safetensors model tree still resolves its family spec.
CMAKE_ARGS ?= -DCMAKE_BUILD_TYPE=Release -DAUDIOCPP_DEPLOYMENT_BUILD=ON
# CMAKE_CUDA_ARCHITECTURES must be set explicitly for a cublas build, and this
# is not a tuning knob: upstream's CMakeLists sets CUDA_ARCHITECTURES to
# `native` on the engine_runtime target whenever the root-scope variable is
# unset (audio.cpp/CMakeLists.txt, the `if (CMAKE_CUDA_ARCHITECTURES)` branch
# next to the istft/torch_random .cu sources), and docs/build/linux.md says so
# outright: "Leave CMAKE_CUDA_ARCHITECTURES unset to build for the GPUs present
# at build time (native)". No CI runner has a GPU, so `native` has nothing to
# enumerate. ggml's own default (external/ggml/src/ggml-cuda/CMakeLists.txt)
# does not rescue this: it list(APPEND)s in the ggml subdirectory scope, which
# never reaches the root scope where the engine_runtime property is decided.
#
# The values below are ggml's list for the matching toolkit, copied rather than
# invented, so the two targets compile for exactly the same set:
# - CUDA 13 drops the Maxwell/Pascal/Volta virtual archs (50/61/70).
# - 121a-real needs CUDA >= 12.9, so the CUDA 12 list (built against 12.8)
# stops at 120a-real.
# - `a`-suffixed archs are used rather than ggml's rejected 120f-virtual: the
# `f` suffix needs CMake >= 3.31.8, and Ubuntu Noble ships 3.28.3. The
# 3.28 validator (Modules/Internal/CMakeCUDAArchitecturesValidate.cmake)
# accepts `[0-9]+a?(-real|-virtual)?`.
#
# Setting it here also pins ggml's copy, since its default is guarded by
# `if (NOT DEFINED CMAKE_CUDA_ARCHITECTURES)`. CUDA_MAJOR_VERSION is the CI
# build-arg, forwarded by Dockerfile.audio-cpp.
#
# An EMPTY major maps to `native`, NOT to the CUDA 12 list. Only CI declares a
# major; a developer running `BUILD_TYPE=cublas make` locally declares none, and
# the CUDA 12 list contains 120a-real, which needs nvcc >= 12.8. Falling through
# to it turned every local build on a CUDA 12.0-12.7 host into a compile error,
# where upstream's documented behaviour ("Leave CMAKE_CUDA_ARCHITECTURES unset
# to build for the GPUs present at build time") worked. `native` restores that.
# It does require a GPU to enumerate, so the escape hatch for a GPU-less local
# cross-build is to set CUDA_ARCHITECTURES on the command line, which the ?=
# assignments below leave untouched.
CUDA_MAJOR_VERSION ?=
ifeq ($(CUDA_MAJOR_VERSION),13)
CUDA_ARCHITECTURES ?= 75-virtual;80-virtual;86-real;89-real;120a-real;121a-real
else ifeq ($(CUDA_MAJOR_VERSION),12)
CUDA_ARCHITECTURES ?= 50-virtual;61-virtual;70-virtual;75-virtual;80-virtual;86-real;89-real;120a-real
else ifeq ($(CUDA_MAJOR_VERSION),)
CUDA_ARCHITECTURES ?= native
else ifeq ($(BUILD_TYPE),cublas)
# Gated on cublas because the variable means nothing to any other build, so a
# stray CUDA_MAJOR_VERSION in the environment must not break `make clean` or
# a CPU build. It does still error for `BUILD_TYPE=cublas make clean`, which
# is the right trade: that invocation is asking about a CUDA build tree.
$(error CUDA_MAJOR_VERSION=$(CUDA_MAJOR_VERSION) has no architecture list here (12 and 13 do). Leave it empty for a native build, or pass CUDA_ARCHITECTURES explicitly.)
endif
ifeq ($(BUILD_TYPE),cublas)
CMAKE_ARGS += -DENGINE_ENABLE_CUDA=ON "-DCMAKE_CUDA_ARCHITECTURES=$(CUDA_ARCHITECTURES)"
else ifeq ($(BUILD_TYPE),vulkan)
CMAKE_ARGS += -DENGINE_ENABLE_VULKAN=ON
else ifeq ($(UNAME_S),Darwin)
# Metal. ggml embeds the shader library by default (GGML_METAL_EMBED_LIBRARY
# defaults to GGML_METAL), so the package needs no .metallib beside the
# binary. Darwin builds go through scripts/build/audio-cpp-darwin.sh.
CMAKE_ARGS += -DENGINE_ENABLE_METAL=ON
# AppleClang ships no OpenMP runtime and Homebrew's libomp is keg-only, so
# neither libomp.dylib nor omp.h is symlinked into /opt/homebrew and CMake's
# FindOpenMP cannot find them on its own (the workflow's `brew link libomp`
# is a no-op for a keg-only formula, and its failure is swallowed).
# audio.cpp calls find_package(OpenMP REQUIRED COMPONENTS CXX) whenever
# ENGINE_ENABLE_OPENMP is ON, so with no hint the macOS build dies at
# configure time before compiling anything. OpenMP_ROOT is honoured by the
# find_library/find_path calls inside FindOpenMP under CMP0074, which is NEW
# here because audio.cpp requires CMake 3.20.
#
# If the keg is absent, turn OpenMP off rather than fail: the tree's only
# <omp.h> include is guarded by #ifdef _OPENMP and a #pragma omp without
# -fopenmp is simply ignored, so an OpenMP-less build is CORRECT. It is not
# cheap, though: 108 `#pragma omp` directives across ~30 files (roformer,
# demucs, chatterbox, moss, supertonic, seed_vc, framework/audio/dsp) are
# compiled out, and clang says nothing about an ignored omp pragma unless
# -Wsource-uses-openmp is on. A green package that is quietly single-threaded
# in every host DSP loop gets blamed on Metal, not on packaging, so the
# fallback announces itself.
ifeq ($(origin LIBOMP_PREFIX),undefined)
LIBOMP_PREFIX := $(shell brew --prefix libomp 2>/dev/null)
endif
# Nested ifneq rather than $(and ...): $(and) needs GNU make 3.81, and while
# that is what Apple ships, an older make expands it to empty and would take
# the OpenMP-OFF branch with no way to tell that from a genuinely missing
# keg. Two plain conditionals cannot fail that way.
LIBOMP_USABLE :=
ifneq ($(wildcard $(LIBOMP_PREFIX)/lib/libomp.dylib),)
ifneq ($(wildcard $(LIBOMP_PREFIX)/include/omp.h),)
LIBOMP_USABLE := yes
endif
endif
ifeq ($(LIBOMP_USABLE),yes)
CMAKE_ARGS += "-DOpenMP_ROOT=$(LIBOMP_PREFIX)"
else
$(warning audio-cpp: libomp not found at '$(LIBOMP_PREFIX)'; building without OpenMP (single-threaded host DSP). Install it with `brew install libomp`, or set LIBOMP_PREFIX.)
CMAKE_ARGS += -DENGINE_ENABLE_OPENMP=OFF
endif
else
# Portable Linux CPU. Upstream wires this to GGML_BACKEND_DL +
# GGML_CPU_ALL_VARIANTS + $ORIGIN rpath, so one build serves every CPU
# tier instead of an AVX-tier image fan-out.
CMAKE_ARGS += -DENGINE_ENABLE_CPU_ALL_VARIANTS=ON
endif
ifneq ($(NATIVE),true)
CMAKE_ARGS += -DENGINE_ENABLE_NATIVE_CPU=OFF
endif
.PHONY: all grpc-server package test test-engine clean purge
all: grpc-server
# Clone the upstream source at the pinned commit. The directory is the target
# so make only re-clones when it is missing. After bumping AUDIO_CPP_VERSION,
# run 'make purge && make' to refetch.
audio.cpp:
mkdir -p audio.cpp
cd audio.cpp && \
git init -q && \
git remote add origin $(AUDIO_CPP_REPO) && \
git fetch --depth 1 origin $(AUDIO_CPP_VERSION) && \
git checkout FETCH_HEAD
grpc-server: audio.cpp
mkdir -p $(BUILD_DIR)
cd $(BUILD_DIR) && cmake $(CMAKE_ARGS) $(CURRENT_MAKEFILE_DIR) && \
cmake --build . --config Release -j $(JOBS)
cp $(BUILD_DIR)/grpc-server grpc-server
package: grpc-server
bash package.sh
test:
@echo "audio-cpp: standalone unit tests run from the repo root via 'make test-backend-cpp'"
# Engine-linked tests. Needs the upstream checkout and a full engine build.
test-engine: audio.cpp
mkdir -p $(BUILD_DIR)
cd $(BUILD_DIR) && cmake $(CMAKE_ARGS) -DAUDIO_CPP_GRPC_BUILD_TESTS=ON $(CURRENT_MAKEFILE_DIR) && \
cmake --build . --config Release -j $(JOBS) && ctest --output-on-failure --no-tests=error
clean:
rm -rf $(BUILD_DIR) grpc-server package
purge: clean
rm -rf audio.cpp

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#include "audio_io.h"
#include "loaded_model.h"
#include "engine/framework/audio/conversion.h"
#include "engine/framework/audio/wav_reader.h"
#include "engine/framework/audio/wav_writer.h"
#include <filesystem>
#include <string>
#include <utility>
namespace audiocpp_backend {
engine::runtime::AudioBuffer read_audio_file(const std::string &path,
int target_sample_rate) {
if (path.empty()) {
throw ConfigError("audio-cpp: no input audio path was supplied");
}
std::error_code ec;
const bool present = std::filesystem::exists(std::filesystem::path(path), ec);
if (ec) {
// exists() returning false with ec set does NOT mean the file is
// absent, it means the question could not be answered: most often a
// parent directory is not searchable. Reporting that as "does not
// exist" sends the operator after the file when the fault is the
// permissions on the directory above it.
throw ConfigError("audio-cpp: cannot stat input audio " + path + ": " +
ec.message());
}
if (!present) {
throw ConfigError("audio-cpp: input audio does not exist: " + path);
}
engine::audio::WavData wav;
try {
wav = engine::audio::read_wav_f32(std::filesystem::path(path));
} catch (const std::exception &err) {
throw ConfigError("audio-cpp: cannot read " + path +
" as WAV: " + err.what());
}
if (wav.sample_rate <= 0) {
throw ConfigError("audio-cpp: " + path +
" declares a non-positive sample rate; every "
"timestamp derived from it would be zero");
}
// AudioBuffer's own default is 1, and a reader that reports 0 channels
// still gave us an interleaving of one. Normalised before the conversion
// below rather than after, because mixdown_interleaved_to_mono_average
// throws on a non-positive channel count.
if (wav.channels <= 0) {
wav.channels = 1;
}
engine::runtime::AudioBuffer buffer;
if (target_sample_rate <= 0) {
buffer.sample_rate = wav.sample_rate;
buffer.channels = wav.channels;
buffer.samples = std::move(wav.samples);
return buffer;
}
buffer.sample_rate = target_sample_rate;
buffer.channels = 1;
try {
// A no-op copy when the rates already match, so the common 16 kHz
// upload pays only the mono mixdown it would have paid inside the
// family anyway.
buffer.samples =
engine::audio::convert_wav_to_mono_linear_resampled(wav, target_sample_rate);
} catch (const std::exception &err) {
// ConfigError, so this is INVALID_ARGUMENT rather than INTERNAL. What
// reaches here is a malformed input: a sample count that is not a whole
// number of frames is the realistic one, and it is the uploader's file
// that is truncated, not this backend that is broken.
throw ConfigError("audio-cpp: cannot resample " + path + " from " +
std::to_string(wav.sample_rate) + " Hz to " +
std::to_string(target_sample_rate) +
" Hz: " + err.what());
}
return buffer;
}
void write_audio_file(const std::string &path,
const engine::runtime::AudioBuffer &audio) {
if (path.empty()) {
throw ConfigError("audio-cpp: no output path was supplied");
}
const std::filesystem::path destination(path);
if (destination.has_parent_path()) {
// Best effort: a failure here shows up as a write failure below, with a
// message naming the file the caller actually asked for.
std::error_code ec;
std::filesystem::create_directories(destination.parent_path(), ec);
}
try {
engine::audio::write_pcm16_wav(destination, audio.sample_rate,
audio.channels > 0 ? audio.channels : 1,
audio.samples);
} catch (const std::exception &err) {
// NOT a ConfigError, and the distinction is not cosmetic. The
// destination is chosen by LocalAI rather than by the caller: it is a
// unique name inside GeneratedContentDir. A failure to write it is a
// full disk, a permission fault on the server's own directory, or a bad
// mount, none of which the caller can fix or is to blame for. As a
// ConfigError this surfaced as INVALID_ARGUMENT, which tells a client
// its request was wrong and not to retry; a plain runtime_error maps to
// INTERNAL, which is both true and retryable. The empty path above
// stays INVALID_ARGUMENT, because that one really is a malformed
// request.
throw std::runtime_error("audio-cpp: cannot write " + path + ": " +
err.what());
}
}
engine::runtime::AudioBuffer buffer_from_mono(std::vector<float> samples,
int sample_rate) {
engine::runtime::AudioBuffer buffer;
buffer.sample_rate = sample_rate;
buffer.channels = 1;
buffer.samples = std::move(samples);
return buffer;
}
} // namespace audiocpp_backend

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#pragma once
// Thin wrappers over the framework's public audio IO. Engine-linked, so this
// unit is built and tested through the CMake target rather than by
// backend/cpp/run-unit-tests.sh. The pure part of the arithmetic these
// wrappers feed lives in audio_units, which is stdlib-only and does have a
// standalone test.
#include "engine/framework/runtime/session.h"
#include <string>
#include <vector>
namespace audiocpp_backend {
// Reads a WAV file. Throws ConfigError when the file is missing, is not
// readable as WAV, or declares a non-positive sample rate: all three are
// user-fixable input problems rather than backend faults.
//
// A declared sample rate of zero is refused rather than passed on, because
// every downstream conversion in audio_units answers 0 for a non-positive rate.
// Accepting it would turn a corrupt header into a response full of zero
// timestamps, which reads as a real answer.
//
// `target_sample_rate` is the rate the CALLER needs, in Hz:
//
// 0 (or negative) keep the file's own rate and channel count.
// positive downmix to mono and resample to that rate. Resampling is
// skipped when the file already declares it, so passing the
// rate a route needs costs nothing on the common input.
//
// It is a parameter, and not a constant inside this function, because the
// routes that read audio do not agree on an answer. Speech routes want 16 kHz
// mono; source separation does not, and folding a 44.1 kHz stereo input to
// 16 kHz mono for demucs or roformer would destroy the very thing they separate
// (both refuse a rate other than their own outright). Making the caller name
// the rate keeps that decision where the route is known.
//
// Downmixing along with the resample is not an extra liberty: every family a
// positive rate is used for (silero_vad, sortformer_diar and every ASR family)
// begins by calling the same mixdown_interleaved_to_mono_average on whatever it
// is given. Doing it once here produces the identical samples and halves the
// buffer that is then moved through the request.
engine::runtime::AudioBuffer read_audio_file(const std::string &path,
int target_sample_rate);
// Writes 16-bit PCM WAV, creating parent directories.
//
// Throws ConfigError, i.e. INVALID_ARGUMENT, ONLY for an empty path, which is a
// malformed request. Every other failure throws a plain runtime_error, i.e.
// INTERNAL: the destination is LocalAI's own generated-content directory and
// not anything the caller named, so a full disk or a permission fault there is
// a server fault and is worth retrying, which is the opposite of what
// INVALID_ARGUMENT tells a client.
void write_audio_file(const std::string &path,
const engine::runtime::AudioBuffer &audio);
engine::runtime::AudioBuffer buffer_from_mono(std::vector<float> samples,
int sample_rate);
} // namespace audiocpp_backend

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// Tests for audio_io's reading contract, and in particular for the resampling
// that keeps a 44.1 or 48 kHz upload from reaching a family that only accepts
// 16 kHz.
//
// NAMED _ctest AND NOT _test ON PURPOSE: see the note at the top of
// result_map_ctest.cpp. This file links the audio.cpp engine, so it is built
// and run by ctest, not by backend/cpp/run-unit-tests.sh.
//
// make -C backend/cpp/audio-cpp test-engine
#include "audio_io.h"
#include "loaded_model.h"
#include <algorithm>
#include <cmath>
#include <cstdio>
#include <filesystem>
#include <string>
#include <vector>
static int failures = 0;
static void check(bool ok, const std::string &name) {
if (!ok) {
failures++;
fprintf(stderr, "FAIL: %s\n", name.c_str());
} else {
fprintf(stderr, "ok: %s\n", name.c_str());
}
}
using namespace audiocpp_backend;
// A one-second tone, interleaved across `channels`. Real audio rather than
// silence so a resample that dropped its input would be visible as a flat
// buffer, not just as a different length.
static engine::runtime::AudioBuffer tone(int sample_rate, int channels,
float seconds) {
engine::runtime::AudioBuffer buffer;
buffer.sample_rate = sample_rate;
buffer.channels = channels;
const auto frames =
static_cast<size_t>(static_cast<double>(sample_rate) * seconds);
buffer.samples.reserve(frames * static_cast<size_t>(channels));
for (size_t frame = 0; frame < frames; ++frame) {
const float value = 0.5f * std::sin(2.0f * 3.14159265f * 220.0f *
static_cast<float>(frame) /
static_cast<float>(sample_rate));
for (int channel = 0; channel < channels; ++channel) {
buffer.samples.push_back(value);
}
}
return buffer;
}
static float peak(const std::vector<float> &samples) {
float highest = 0.0f;
for (const float sample : samples) {
highest = std::max(highest, std::abs(sample));
}
return highest;
}
static std::filesystem::path scratch_dir() {
const auto dir = std::filesystem::temp_directory_path() / "audiocpp-io-ctest";
std::filesystem::create_directories(dir);
return dir;
}
// The I2 fixture. Before the resample this returned a 44.1 kHz buffer, which
// silero_vad and sortformer_diar both reject with a plain runtime_error, which
// the server maps to INTERNAL. A 44.1 kHz WAV is an ordinary upload.
static void test_441k_stereo_is_read_as_16k_mono() {
const auto path = scratch_dir() / "input-44100-stereo.wav";
write_audio_file(path.string(), tone(44100, 2, 1.0f));
const auto audio = read_audio_file(path.string(), 16000);
check(audio.sample_rate == 16000, "44.1 kHz input is resampled to 16 kHz");
check(audio.channels == 1, "stereo input is downmixed to mono");
// Linear resampling lands within a sample or two of the exact ratio.
const auto frames = static_cast<long long>(audio.samples.size());
check(frames > 15990 && frames < 16010,
"one second in stays one second out");
check(peak(audio.samples) > 0.2f,
"the resampled buffer still carries the signal");
}
static void test_48k_is_read_as_16k() {
const auto path = scratch_dir() / "input-48000-mono.wav";
write_audio_file(path.string(), tone(48000, 1, 0.5f));
const auto audio = read_audio_file(path.string(), 16000);
check(audio.sample_rate == 16000, "48 kHz input is resampled to 16 kHz");
const auto frames = static_cast<long long>(audio.samples.size());
check(frames > 7990 && frames < 8010, "half a second in, half a second out");
}
// The common case: the upload is already 16 kHz mono, and nothing is resampled.
static void test_16k_mono_passes_through_unchanged() {
const auto path = scratch_dir() / "input-16000-mono.wav";
const auto source = tone(16000, 1, 1.0f);
write_audio_file(path.string(), source);
const auto audio = read_audio_file(path.string(), 16000);
check(audio.sample_rate == 16000, "16 kHz stays 16 kHz");
check(audio.channels == 1, "mono stays mono");
check(audio.samples.size() == source.samples.size(),
"a matching rate resamples nothing");
}
// Rate 0 means "give me the file as it is", which is what a source separation
// route needs: demucs and roformer refuse anything but their own 44.1 kHz and
// work on stereo, so the reader must not force them to 16 kHz mono.
static void test_zero_target_keeps_the_native_format() {
const auto path = scratch_dir() / "input-native.wav";
write_audio_file(path.string(), tone(44100, 2, 0.25f));
const auto audio = read_audio_file(path.string(), 0);
check(audio.sample_rate == 44100, "a zero target keeps the file's rate");
check(audio.channels == 2, "a zero target keeps the file's channels");
}
static void test_missing_file_is_a_config_error() {
bool threw_config_error = false;
try {
read_audio_file((scratch_dir() / "does-not-exist.wav").string(), 16000);
} catch (const ConfigError &) {
threw_config_error = true;
} catch (const std::exception &) {
// Any other type maps to INTERNAL, which is what this asserts against.
}
check(threw_config_error, "a missing input file is INVALID_ARGUMENT, not INTERNAL");
}
static void test_unreadable_file_is_a_config_error() {
const auto path = scratch_dir() / "not-a-wav.wav";
{
FILE *file = fopen(path.string().c_str(), "wb");
if (file != nullptr) {
fputs("this is not a RIFF header", file);
fclose(file);
}
}
bool threw_config_error = false;
try {
read_audio_file(path.string(), 16000);
} catch (const ConfigError &) {
threw_config_error = true;
} catch (const std::exception &) {
}
check(threw_config_error, "a non-WAV input is INVALID_ARGUMENT, not INTERNAL");
}
// The write side of the same distinction. The destination is LocalAI's own
// generated-content directory, not a caller-supplied path, so a failure to
// write it is a server fault: INTERNAL, which a client may retry, and not
// INVALID_ARGUMENT, which tells it the request itself was wrong.
static void test_write_failure_is_not_a_config_error() {
// A regular file where a directory has to be. ENOTDIR defeats root as well
// as an ordinary user, unlike a chmod, which CI running as root would walk
// straight through.
const auto blocker = scratch_dir() / "blocking-file";
{
FILE *file = fopen(blocker.string().c_str(), "wb");
if (file != nullptr) {
fputs("not a directory", file);
fclose(file);
}
}
const auto path = blocker / "nested" / "out.wav";
bool threw_config_error = false;
bool threw_something = false;
try {
write_audio_file(path.string(), tone(16000, 1, 0.05f));
} catch (const ConfigError &) {
threw_config_error = true;
threw_something = true;
} catch (const std::exception &) {
threw_something = true;
}
check(threw_something, "an unwritable destination is reported at all");
check(!threw_config_error,
"a failed write is INTERNAL, not INVALID_ARGUMENT: the caller did not "
"choose the destination and cannot fix it");
check(!std::filesystem::exists(path), "and nothing was written");
}
static void test_empty_output_path_is_a_config_error() {
// The one write failure that IS the caller's: no path at all.
bool threw_config_error = false;
try {
write_audio_file("", tone(16000, 1, 0.05f));
} catch (const ConfigError &) {
threw_config_error = true;
} catch (const std::exception &) {
}
check(threw_config_error, "an empty output path stays INVALID_ARGUMENT");
}
int main() {
test_441k_stereo_is_read_as_16k_mono();
test_48k_is_read_as_16k();
test_16k_mono_passes_through_unchanged();
test_zero_target_keeps_the_native_format();
test_missing_file_is_a_config_error();
test_unreadable_file_is_a_config_error();
test_write_failure_is_not_a_config_error();
test_empty_output_path_is_a_config_error();
if (failures) {
fprintf(stderr, "%d check(s) failed\n", failures);
return 1;
}
fprintf(stderr, "all audio_io checks passed\n");
return 0;
}

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#include "audio_units.h"
#include <algorithm>
#include <cmath>
#include <limits>
namespace audiocpp_backend {
std::int64_t interleaved_frame_count(std::size_t sample_count, int channels) {
const std::size_t lanes = channels > 0 ? static_cast<std::size_t>(channels)
: static_cast<std::size_t>(1);
// Truncating division is deliberate: a trailing partial frame is not a
// position every channel reached, so counting it would overstate the length.
return static_cast<std::int64_t>(sample_count / lanes);
}
std::int64_t samples_to_nanoseconds(std::int64_t samples, int sample_rate) {
if (sample_rate <= 0) {
return 0;
}
// Split into whole seconds plus a remainder so the intermediate product
// cannot overflow on long recordings, and so rates like 44100 stay exact.
// The remainder division truncates deliberately: that matches Go's
// time.Duration conventions and keeps successive sample indices monotonic.
const std::int64_t rate = static_cast<std::int64_t>(sample_rate);
const std::int64_t whole_seconds = samples / rate;
const std::int64_t remainder = samples % rate;
return whole_seconds * 1000000000LL + (remainder * 1000000000LL) / rate;
}
float samples_to_seconds(std::int64_t samples, int sample_rate) {
if (sample_rate <= 0) {
return 0.0f;
}
return static_cast<float>(static_cast<double>(samples) /
static_cast<double>(sample_rate));
}
std::int64_t seconds_to_samples(double seconds, int sample_rate) {
// !(seconds > 0.0) rather than seconds <= 0.0: every comparison against NaN
// is false, so the <= form lets NaN reach the cast below, which is undefined
// behaviour and lands on INT64_MIN in practice. This is the one entry point
// fed by untrusted-shaped input (a float-seconds timestamp off the wire, or
// a boundary from a model that diverged), and a hugely negative sample index
// used later as an offset or a length is a wild pointer rather than merely a
// wrong timestamp.
if (sample_rate <= 0 || !(seconds > 0.0)) {
return 0;
}
const double scaled = seconds * static_cast<double>(sample_rate);
// Bound before the cast for the same reason: converting a double at or above
// 2^63 (infinity included) is undefined behaviour, so saturate instead.
const double limit =
static_cast<double>(std::numeric_limits<std::int64_t>::max());
if (scaled >= limit) {
return std::numeric_limits<std::int64_t>::max();
}
// Round rather than truncate: these functions exist to cross the float
// seconds boundary the VAD and diarize messages use, so a value that came
// from samples_to_seconds converts back to the sample it started as.
// Truncation lost one sample about half the time, starting at n=1.
//
// That round trip is exact only below roughly 2^23 samples. Past that the
// float samples_to_seconds returns can no longer resolve adjacent indices
// and the trip fails whatever the rounding. Both the first failing INDEX
// and the duration it stands for depend on the rate, so they are listed per
// rate rather than folded into one range; measured:
//
// 16 kHz 16384001 samples 17.1 min
// 44.1 kHz 11289602 samples 4.3 min
// 48 kHz 12288002 samples 4.3 min
// 96 kHz 12288002 samples 2.1 min
//
// The shortest recording this bites is therefore a couple of minutes of
// 96 kHz audio. It is a property of the float seconds API itself, not of
// the rounding here, and it is why nothing should use these to carry a
// sample-accurate position in a long recording.
return static_cast<std::int64_t>(std::llround(scaled));
}
std::vector<float> s16le_to_f32(const std::string &bytes) {
std::vector<float> samples;
const size_t count = bytes.size() / 2;
samples.reserve(count);
for (size_t i = 0; i < count; ++i) {
const auto low = static_cast<unsigned char>(bytes[i * 2]);
const auto high = static_cast<unsigned char>(bytes[i * 2 + 1]);
const auto raw = static_cast<std::int16_t>(
static_cast<std::uint16_t>(low) |
(static_cast<std::uint16_t>(high) << 8));
// 32768 on decode against 32767 on encode is deliberate, not a typo.
// 32768 is what keeps INT16_MIN at exactly -1.0 and every other code
// inside the [-1, 1] range this header promises; dividing by 32767
// would decode INT16_MIN to -1.00003. See f32_to_s16le for the other
// half of the pair. The cost is that a round trip shrinks a sample by
// 32767/32768, well under one LSB.
samples.push_back(static_cast<float>(raw) / 32768.0f);
}
return samples;
}
std::string f32_to_s16le(const std::vector<float> &samples) {
std::string bytes;
bytes.reserve(samples.size() * 2);
for (const float sample : samples) {
// NaN maps to silence. A NaN sample rendered as a full-scale click is
// worse audio than a dropped one, and this unit converts audio that may
// have originated off the wire.
//
// This guard also removes what used to be a spelling hazard in the
// clamp below. std::min and std::max return their first argument when
// the comparison is false, and every comparison against NaN is false,
// so before this branch existed the choice of spelling silently decided
// whether a NaN reached std::lround, whose result is unspecified for
// NaN. These three leaked it, the last being the idiomatic C++17 way to
// write a clamp and so the likeliest future edit:
// std::min(std::max(sample, -1.0f), 1.0f)
// std::max(std::min(sample, 1.0f), -1.0f)
// std::clamp(sample, -1.0f, 1.0f)
// The order is no longer load-bearing now that the guard runs first,
// but the history is why the guard is here, so do not drop it.
if (std::isnan(sample)) {
bytes.push_back(0);
bytes.push_back(0);
continue;
}
const float clamped = std::max(-1.0f, std::min(1.0f, sample));
// 32767 rather than 32768 so +1.0 saturates at INT16_MAX instead of
// overflowing to INT16_MIN. See s16le_to_f32 for why decode differs.
const auto value =
static_cast<std::int16_t>(std::lround(clamped * 32767.0f));
const auto raw = static_cast<std::uint16_t>(value);
bytes.push_back(static_cast<char>(raw & 0xFF));
bytes.push_back(static_cast<char>((raw >> 8) & 0xFF));
}
return bytes;
}
} // namespace audiocpp_backend

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#pragma once
// Time and sample-format conversion between audio.cpp's runtime types (sample
// indices, float PCM) and LocalAI's proto types. Standard library only.
//
// LocalAI uses three different time units:
// TranscriptSegment / TranscriptWord start,end : int64 nanoseconds
// VADSegment start,end : float seconds
// DiarizeSegment start,end : float seconds
#include <cstddef>
#include <cstdint>
#include <string>
#include <vector>
namespace audiocpp_backend {
// Frames in an interleaved buffer of `sample_count` floats laid out across
// `channels` channels. A frame is one per-channel position, which is the unit
// every duration and every span boundary in this backend is expressed in, so a
// stereo buffer must not report twice its real length: feeding sample_count
// straight to samples_to_seconds makes a 3 second stereo clip come back as 6.
//
// A non-positive channel count is treated as mono, matching
// engine::runtime::AudioBuffer's own default of 1 and keeping a reader that
// reports 0 channels from dividing by zero.
std::int64_t interleaved_frame_count(std::size_t sample_count, int channels);
// Returns 0 when sample_rate is not positive rather than dividing by zero.
// Uses integer arithmetic so 44.1 kHz does not lose precision.
std::int64_t samples_to_nanoseconds(std::int64_t samples, int sample_rate);
float samples_to_seconds(std::int64_t samples, int sample_rate);
// Rounds to nearest. Negative seconds and NaN both yield 0, and a value too
// large to convert saturates at INT64_MAX rather than overflowing. Round trips
// with samples_to_seconds only below roughly 2^23 samples, past which the float
// seconds can no longer resolve adjacent sample indices.
std::int64_t seconds_to_samples(double seconds, int sample_rate);
// Decodes little-endian signed 16-bit PCM. A trailing odd byte is dropped.
std::vector<float> s16le_to_f32(const std::string &bytes);
// Encodes to little-endian signed 16-bit PCM, clamping to [-1, 1] first so an
// overshooting sample saturates instead of wrapping to the opposite sign.
// A NaN sample encodes to 0, on the grounds that silence beats a full-scale
// click.
std::string f32_to_s16le(const std::vector<float> &samples);
} // namespace audiocpp_backend

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// Unit tests for audio_units. Standard library only. The harness compiles this
// as a single translation unit, so the implementation is included directly.
#include "audio_units.cpp"
#include <cfenv>
#include <cmath>
#include <cstdio>
#include <limits>
#include <string>
#include <vector>
static int failures = 0;
static void check(bool ok, const std::string &name) {
if (!ok) {
failures++;
fprintf(stderr, "FAIL: %s\n", name.c_str());
} else {
fprintf(stderr, "ok: %s\n", name.c_str());
}
}
static bool close_to(float a, float b, float tol) { return std::fabs(a - b) <= tol; }
using namespace audiocpp_backend;
static void test_nanoseconds() {
// LocalAI TranscriptSegment/TranscriptWord times are nanoseconds
// (Go reads them as time.Duration).
check(samples_to_nanoseconds(16000, 16000) == 1000000000LL, "1s at 16k is 1e9 ns");
check(samples_to_nanoseconds(8000, 16000) == 500000000LL, "0.5s at 16k");
check(samples_to_nanoseconds(0, 16000) == 0, "zero samples is zero ns");
check(samples_to_nanoseconds(1000, 0) == 0, "zero sample rate yields zero, not UB");
// 44.1 kHz must not lose precision to float arithmetic.
check(samples_to_nanoseconds(44100, 44100) == 1000000000LL, "1s at 44.1k");
check(samples_to_nanoseconds(22050, 44100) == 500000000LL, "0.5s at 44.1k");
// The cases above all land on values a float happens to hold exactly, so
// they do not actually rule float arithmetic out. These do:
// a fraction that does not divide evenly, and a duration whose magnitude
// exceeds a float's 24-bit mantissa at nanosecond resolution.
check(samples_to_nanoseconds(44099, 44100) == 999977324LL,
"44.1k fraction is exact, not rounded through a float");
check(samples_to_nanoseconds(44100LL * 3600, 44100) == 3600000000000LL,
"one hour at 44.1k is exact to the nanosecond");
// A naive samples * 1e9 would overflow int64 here; the split into whole
// seconds plus a remainder is what keeps this correct.
check(samples_to_nanoseconds(44100LL * 360000, 44100) == 360000000000000LL,
"100 hours at 44.1k does not overflow");
// Double arithmetic is close enough to pass everything above, but still
// truncates this one a nanosecond short. Integer division does not.
check(samples_to_nanoseconds(4004, 8000) == 500500000LL,
"0.5005s at 8k is exact to the nanosecond");
// Truncation, not rounding: this matches Go's time.Duration conventions and
// keeps successive sample indices monotonic. The exact value here is
// 22675.7...; rounding to nearest would give 22676.
check(samples_to_nanoseconds(1, 44100) == 22675LL,
"a sub-nanosecond fraction truncates rather than rounding up");
}
static void test_seconds() {
check(close_to(samples_to_seconds(24000, 24000), 1.0f, 1e-6f), "1s at 24k");
check(close_to(samples_to_seconds(12000, 24000), 0.5f, 1e-6f), "0.5s at 24k");
check(close_to(samples_to_seconds(100, 0), 0.0f, 1e-6f), "zero sample rate is 0s");
check(seconds_to_samples(1.0, 16000) == 16000, "1s to samples at 16k");
check(seconds_to_samples(0.5, 16000) == 8000, "0.5s to samples at 16k");
check(seconds_to_samples(1.0, 0) == 0, "zero sample rate yields zero samples");
check(seconds_to_samples(-1.0, 16000) == 0, "negative seconds clamps to zero");
// seconds_to_samples is the one entry point fed by untrusted-shaped input:
// a float-seconds timestamp off the wire, or a VAD boundary from a model
// that diverged. A hugely negative sample index used later as an offset or
// a length is a wild pointer, not merely a wrong timestamp.
const double nan_seconds = std::numeric_limits<double>::quiet_NaN();
const double inf_seconds = std::numeric_limits<double>::infinity();
const std::int64_t max_samples = std::numeric_limits<std::int64_t>::max();
check(seconds_to_samples(nan_seconds, 16000) == 0, "NaN seconds yields zero");
check(seconds_to_samples(inf_seconds, 16000) == max_samples,
"infinite seconds saturates instead of overflowing");
check(seconds_to_samples(1e30, 16000) == max_samples,
"out of range seconds saturates instead of overflowing");
check(seconds_to_samples(-inf_seconds, 16000) == 0,
"negative infinity clamps to zero");
// Crossing the float-seconds boundary and back is the expected round trip
// for the VAD and diarize messages, so it must not lose a sample.
// Truncation loses one about half the time, starting at n=1.
check(seconds_to_samples(samples_to_seconds(1, 44100), 44100) == 1,
"one sample survives the seconds round trip at 44.1k");
check(seconds_to_samples(samples_to_seconds(1, 16000), 16000) == 1,
"one sample survives the seconds round trip at 16k");
check(seconds_to_samples(samples_to_seconds(4001, 8000), 8000) == 4001,
"4001 samples survive the seconds round trip at 8k");
}
static void test_s16le_round_trip() {
const std::vector<float> original = {0.0f, 0.5f, -0.5f, 1.0f, -1.0f};
const std::string encoded = f32_to_s16le(original);
check(encoded.size() == original.size() * 2, "two bytes per sample");
const std::vector<float> decoded = s16le_to_f32(encoded);
check(decoded.size() == original.size(), "round trip keeps the sample count");
for (size_t i = 0; i < original.size(); ++i) {
// 16-bit quantisation: one LSB is ~3.05e-5. Guard the index so a short
// result reports a named failure instead of aborting the whole suite.
check(i < decoded.size() && close_to(decoded[i], original[i], 1e-4f),
"round trip preserves sample " + std::to_string(i));
}
}
static void test_s16le_endianness() {
// 0.5 encodes to 16384 = 0x4000, little endian is 0x00 0x40.
const std::string encoded = f32_to_s16le({0.5f});
check(encoded.size() == 2, "one sample is two bytes");
check(static_cast<unsigned char>(encoded[0]) == 0x00, "low byte first");
check(static_cast<unsigned char>(encoded[1]) == 0x40, "high byte second");
}
static void test_s16le_clamping() {
// Values outside [-1, 1] must clamp, not wrap around to the opposite sign.
const std::string encoded = f32_to_s16le({2.0f, -2.0f});
const std::vector<float> decoded = s16le_to_f32(encoded);
check(decoded.size() == 2, "two samples survive clamping");
check(decoded.size() > 0 && decoded[0] > 0.99f,
"positive overshoot clamps to full scale");
check(decoded.size() > 1 && decoded[1] < -0.99f,
"negative overshoot clamps to full scale");
}
static void test_s16le_decode_range() {
// INT16_MIN is the one value that pins the decode scale. Dividing by 32767
// instead of 32768 would decode it to -1.00003, outside the [-1, 1] range
// the header promises, and every other test would still pass.
const std::vector<float> decoded = s16le_to_f32(std::string("\x00\x80", 2));
check(decoded.size() == 1, "INT16_MIN decodes to one sample");
check(decoded.size() == 1 && decoded[0] == -1.0f,
"INT16_MIN decodes to exactly -1.0, not past full scale");
}
static void test_s16le_nan_input() {
// A NaN sample must not reach std::lround, whose result is unspecified for
// NaN. Asserting a range is not enough to pin this: the three outcomes the
// plausible clamp spellings produce (full scale, negative full scale, zero)
// are all finite and all inside [-1, 1], so a range check passes for every
// one of them. Only an exact value distinguishes them.
// NaN maps to silence, not to full scale: a NaN sample rendered as a
// full-scale click is worse audio than a dropped one, and this unit
// converts audio that may have originated off the wire.
//
// volatile so the NaN cannot be constant-folded, which would let the
// compiler evaluate the conversion at compile time and raise no
// floating-point exception at run time for the check below to observe.
volatile float nan_source = std::numeric_limits<float>::quiet_NaN();
const std::vector<float> input = {nan_source};
std::feclearexcept(FE_ALL_EXCEPT);
const std::string encoded = f32_to_s16le(input);
const bool raised_invalid = std::fetestexcept(FE_INVALID) != 0;
const std::vector<float> decoded = s16le_to_f32(encoded);
check(decoded.size() == 1, "a NaN sample still encodes to one sample");
check(decoded.size() == 1 && decoded[0] == 0.0f,
"a NaN sample encodes to exactly zero, not to a full-scale click");
// Independent of the value: a quiet NaN raises invalid-operation as soon as
// it reaches any ordered comparison, which is what std::min and std::max
// use, so this fails unless the NaN is diverted before the clamp runs at
// all. That is what stops the explicit guard from being dropped in favour
// of a clamp spelling that happens to yield zero.
check(!raised_invalid,
"encoding a NaN sample raises no invalid-operation exception");
}
static void test_s16le_odd_length() {
// A truncated frame must drop the dangling byte rather than read past it.
const std::string odd(5, '\0');
check(s16le_to_f32(odd).size() == 2, "odd byte count drops the trailing byte");
check(s16le_to_f32(std::string()).empty(), "empty input yields no samples");
}
static void test_interleaved_frame_count() {
// Mono is a pass-through, which is the only case the VAD path exercises.
check(interleaved_frame_count(16000, 1) == 16000, "mono frames equal samples");
// The case that matters: a stereo buffer holds two floats per position, so a
// one second 16 kHz stereo clip is 32000 floats and still one second. Handing
// the raw float count to samples_to_seconds reports two seconds instead.
check(interleaved_frame_count(32000, 2) == 16000,
"stereo frames are half the samples");
check(samples_to_seconds(interleaved_frame_count(32000, 2), 16000) == 1.0f,
"a one second stereo clip measures one second, not two");
check(interleaved_frame_count(48000, 3) == 16000,
"three channels divide by three");
// engine::runtime::AudioBuffer defaults channels to 1, but a reader is free
// to report 0, and dividing by that is undefined rather than merely wrong.
check(interleaved_frame_count(1000, 0) == 1000,
"zero channels is treated as mono");
check(interleaved_frame_count(1000, -2) == 1000,
"a negative channel count is treated as mono");
// A dangling partial frame is not a position every channel reached.
check(interleaved_frame_count(3, 2) == 1,
"a trailing partial frame is not counted");
check(interleaved_frame_count(0, 2) == 0, "an empty buffer has no frames");
// Past 2^32 floats, so a size_t narrowed to 32 bits on the way in, or a
// signed 32-bit intermediate, shows up here rather than in a multi-hour
// recording nobody tests with.
check(interleaved_frame_count(static_cast<std::size_t>(9000000000ULL), 2) ==
4500000000LL,
"a buffer beyond 2^32 floats counts frames without truncating");
}
int main() {
test_interleaved_frame_count();
test_nanoseconds();
test_seconds();
test_s16le_round_trip();
test_s16le_endianness();
test_s16le_clamping();
test_s16le_decode_range();
test_s16le_nan_input();
test_s16le_odd_length();
if (failures) {
fprintf(stderr, "%d check(s) failed\n", failures);
return 1;
}
fprintf(stderr, "all audio_units checks passed\n");
return 0;
}

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