* ⬆️ Update NVIDIA/NeMo-Speech.cpp
Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* fix(nemo-speech-cpp): build required sentencepiece
The updated runtime uses SentencePiece for RNNT context biasing even when Flashlight and text normalization are disabled. Build upstream's pinned static archive before configuring the engine so every backend variant has the newly required library and headers.
Assisted-by: Codex:gpt-5
* fix(nemo-speech-cpp): support BSD install
The pinned SentencePiece script uses GNU install -D for license files. macOS provides BSD install, which rejects that flag after the library compiles.
Create the license directory and use the portable install form on Darwin.
Assisted-by: Codex:gpt-5
* fix(nemo-speech-cpp): support CMake 4
Homebrew CMake 4 rejects the old policy floor in the pinned SentencePiece helper. Select the oldest supported policy floor for the Darwin dependency build.
Assisted-by: Codex:gpt-5.6 [Codex CLI]
---------
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>
* test: make coverage failures observable
Keep per-root logs, reject concurrent coverage runs, and avoid relying on /bin/sleep in the worker timeout test.
Assisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* test: parallelize coverage without remote fixtures
Assisted-by: Codex:gpt-5 [apply_patch] [exec_command]
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* test: add offline resource infrastructure
Introduce versioned resource manifests, a checksum-verified CAS preparer, offline test wrappers, and a guarded network transport. Replace live Hugging Face, GitHub, and OCI cases with deterministic fixtures and inject fixture metadata into importer discovery.
Assisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* test: enforce offline resource replay
Assisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* test: harden offline resource refresh
Assisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* test: expose slow coverage waits
Assisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* test: eliminate avoidable wall-clock waits
Inject a clock into Hugging Face retry handling, reuse a process-scoped PostgreSQL container with per-spec schemas in the nodes suite, and poll local import jobs promptly.
Assisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* test: remove repeated fixture startup waits
Share PostgreSQL fixtures across parallel endpoint and agent suite workers, and make the worker Free deadline injectable so the wedged-backend test does not spend five seconds on wall-clock time.
Assisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* test: fix offline resource CI portability
Normalize Docker archive metadata before content addressing, derive archive checksums during explicit refreshes, make network lint portable to macOS, and prepare distributed images before running their offline suite.
Assisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* ci: cache Go modules before offline tests
Warm the complete module graph before the Linux and macOS test jobs enter offline replay mode, so tool dependencies such as Ginkgo are not fetched through the guarded proxy.
Assisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* test: drop the static network lint in favour of real isolation
The offline test suite already prevents tests from reaching the network
twice over: run-test-linux-offline.sh puts the test process in a cgroup
and REJECTs egress outside the private ranges, and HardenedTransport
installs testnetwork.LocalGuard to refuse dials that resolve to a public
address. Both fail the test with a precise error at the moment of the
dial.
test-network-lint.sh added neither. Its diff stage defaulted to a HEAD
base, so on a clean checkout it compared the tree against itself and
inspected nothing; the branch's own commits were never examined. It only
produced output when an earlier job step dirtied the tree, and then it
matched a bare https?:// against whatever changed. make react-ui runs
npm install rather than npm ci, so CI rewrote
core/http/react-ui/package-lock.json and the lint reported an npm
registry URL as forbidden test network access:
+ "resolved": "https://registry.npmjs.org/hono/-/hono-4.12.25.tgz",
Its fingerprint stage was self-defeating in a quieter way: hashing the
whole tree's network-mechanism inventory meant every rebase onto a master
that touched any _test.go needed a manual baseline bump, so the check
mostly caught its own staleness.
Remove the script, its make target and the two prerequisite edges, along
with the test-network: fixture markers that existed only to suppress it.
The isolation itself is untouched.
Assisted-by: Claude:claude-opus-5 [go vet]
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* ci: keep hidden files in the offline test bundle artifact
Cherry-picked from 15a37b0ac on the remote branch. The offline bundle lives
under .cache/, which actions/upload-artifact skips by default, so the Linux
job packed an artifact missing the very file the next step restores.
The other half of 15a37b0ac moved test-network-lint out of the `test` and
`test-coverage` prerequisite lists into a recipe line, so parallel make could
not fingerprint the tree while generated fixtures were still changing. That
is dropped: the preceding commit removes the lint entirely, and the race it
worked around is one more reason a whole-tree fingerprint was the wrong
mechanism.
Assisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* refactor: share bounded exponential backoff
Use overflow-safe saturating arithmetic for retry delays across model import polling, downloads, registration, node operations, and model loading. Keep model import status checks responsive initially while capping their interval at 500ms.
Assisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* ci: mirror Jetson Python wheels
Keep the CUDA aarch64 wheel subset in GHCR and serve it as a local PEP 503 index during L4T backend builds, preserving last-known-good packages through upstream outages.
Assisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* docs(agents): index the Jetson wheels mirror
Mention the GHCR-hosted L4T wheel mirror in the CI caching guide summary so maintainers can find its outage and cache documentation.
Assisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* ci: add defensive build network proxy
Record build destinations and byte counts, retry observable idempotent HTTP downloads, and isolate explorer database tests that race under coverage.
Assisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* fix(kokoros): implement updated backend trait
Return unimplemented for image upscaling, matching the backend's other unsupported modalities after the protobuf API update.
Assisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* fix(ci): clear recovered proxy errors
Do not mark a request failed when a later safe retry succeeds.
Assisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* ci: require HTTPS build interception
Inject a short-lived proxy CA into BuildKit and Dockerfile RUN steps, reject plain HTTP and opaque tunnels, and retain method/status/byte telemetry for verified HTTPS traffic.
Assisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* fix(ci): preserve system trust in unproxied builds
Mount the generated interception CA at a dedicated secret path and add it to the trust bundle only in proxy-aware dependency stages. This prevents optional secret mounts from masking the system CA bundle in ordinary backend test builds.
Install the requested Go toolchain before starting the proxy and satisfy cleanup error checks found by CI lint.
Assisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* fix(ci): persist build proxy trust
Install the generated proxy CA through the system-managed local certificate directory so ca-certificates upgrades retain it. Avoid turning canceled matrix jobs into proxy cleanup failures.
Assisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* fix(ci): trust proxy in nested build scripts
Install the build proxy CA before nested source fetches, route the DS4 package setup through the HTTPS mirror helper, and avoid repeated OCI setup in gallery behavior tests.
Assisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* fix(ci): use HTTPS apt sources for Bonsai
Rewrite ARM64 package sources before installing GCC and check gallery fixture cleanup errors so the optimized tests satisfy errcheck.
Assisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* fix(privacy-filter): trust build proxy CA
Install the mounted build proxy certificate before privacy-filter's make target fetches its HTTPS sources, for both source and prebuilt builder paths.\n\nAssisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* test: fail on hidden offline egress
Count cgroup-scoped firewall rejects and fail the offline test harness with bounded aggregate diagnostics. Inject the gen-audio GGUF probe so fixture-backed importer tests do not attempt real network access.
Assisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* fix(ci): preserve system CA trust
Build a combined runner certificate bundle instead of replacing public roots with the generated proxy CA. Centralize additive container installation in the shared proxy CA helper.
Assisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>
---------
Signed-off-by: Richard Palethorpe <io@richiejp.com>
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
* ⬆️ Update 0xShug0/audio.cpp
Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* fix(audio-cpp): map the MIDI task
audio.cpp now appends MIDI to its task enum. Keep the LocalAI mirror and conversion switches aligned so the backend builds against the new pin.
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>
* ⬆️ Update mudler/vllm.cpp
Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* fix(vllm-cpp): track ABI v21
The updated engine exposes ABI v21 after extending its speech API. The Go
backend does not bind that API, so its existing mirrors remain valid.
The qwen3.5 warning fix is now present upstream, so the old patch no
longer applies.
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>
* chore(llama-cpp): update upstream revision
Assisted-by: Codex:gpt-5.6
* fix(llama-cpp): refresh server patch contexts
The new llama.cpp pin changed the slot reset and prompt batch code. GNU patch accepted stale hunks with fuzz, which left the L4T build with invalid source.
Refresh both server patches against the pinned source so each hunk applies at its intended location.
Assisted-by: Codex:gpt-5
* fix(llama-cpp): adapt metrics result fields
The updated llama.cpp groups cumulative counters under server_metrics. Probe the result layout so the shared adapter also compiles against older forks.
Assisted-by: Codex:gpt-5
* fix(llama-cpp): refresh TTS patch offsets
GNU patch rejects the stale pre-decode hunk after the score patch changes the same file. Anchor the TTS hunks to the pinned llama.cpp source so the full series applies without fuzz.
Assisted-by: Codex:gpt-5.4
* fix(llama-cpp): normalize batch threads
The updated llama.cpp creates its batch threadpool during model initialization, before the context-level fallback can replace the -1 sentinel. Resolve that sentinel from the inference thread count so model loading does not overflow the threadpool allocation.\n\nAssisted-by: Codex:gpt-5.4
---------
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
* feat(router): make KNN a first-class classifier with a persisted, curated corpus
Add `classifier: knn` — similarity-weighted voting over labelled
example prompts. Unlike score/colbert it needs no classifier model:
label knowledge lives in a corpus seeded and curated through the
admin API, so routing decisions are deterministic, auditable, and
grounded in graded experience rather than a model's opinion.
Epistemic gate: corpus entries below knn.similarity_threshold cannot
vote; when none clears it the classifier activates no labels and the
router uses the fallback — a prompt unlike all labelled experience is
treated as undecidable, not guessed. Decisions record
nearest_similarity (also on fallback rows) so admins can see how far
the nearest labelled experience was; the Routing tab explains
out-of-corpus fallbacks and shows per-label corpus counts.
Persistence: one JSONL file per router under
<data path>/router-corpus (text, labels, vector, embedder
fingerprint). The file is the source of truth; the local-store index
is rebuilt from it at classifier build time and stays a pure
in-memory index. Entries recorded under a different embedding model
re-embed on load. Also corrects the docs' false claim that
local-store collections persist — the embedding cache never survived
restarts (and still doesn't); the corpus does.
Corpus input is API-only by design (entries may contain example user
content): POST /api/router/{name}/corpus seeds (labels validated
against declared policies, embedded server-side, indexed
immediately), GET .../corpus/stats inspects — label counts only,
entry texts are never returned by any surface — DELETE .../corpus
wipes. Admin-gated like the sibling router endpoints, and exposed as
MCP tools (seed_router_corpus / get_router_corpus_stats /
clear_router_corpus) in both the httpapi and inproc clients with
coverage-test route mappings.
Plumbing: VectorStore gains SearchK (top-K was hardcoded to 1);
local-store gets InsertBatch/Delete as optional fast paths;
RouterConfig gains a knn block (embedding_model, k,
similarity_threshold, vote_threshold, store_name) with meta-registry
fields; the classifier dropdown now offers knn and the
previously-missing colbert; embedding_cache is ignored (with a
warning) for knn — it IS an embedding-KNN lookup; the stale
/api/instructions intelligent-routing entry is rewritten (it
described a classifier that no longer exists); swagger regenerated.
Tests: KNN vote/gate specs with hand-computed vote shares, corpus
manager suite (restart reload without re-embedding, fingerprint
re-embed, dedupe, hostile store names), middleware specs (corpus
routing, gate fallback, config validation, cache-wrap refusal),
corpus endpoint specs pinning the texts-never-returned contract, MCP
catalog + route-mapping gates, and a Playwright spec for corpus
stats and the out-of-corpus decision detail.
Assisted-by: Claude:claude-fable-5 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* feat(router): name consulted corpus neighbours in knn decisions
Every knn decision (decision log rows and the /api/router/decide
response) now carries neighbors: the K retrieved corpus entries by
descending similarity - including ones below the epistemic gate, which
is what makes fallback decisions diagnosable - each as {id, similarity,
labels}. The id is the entry's content hash (first 8 bytes of the
SHA-256 of its text, hex): stable across reseeds and re-embeds, and
text-free, so an external platform that seeded the corpus can recompute
text->id on its own copy and bucket decisions by corpus region (per-
region reliability accounting) without corpus text ever leaving the
server. A corrupt index payload surfaces as an id-less neighbour at a
real similarity instead of disappearing.
Assisted-by: Claude:claude-fable-5 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* refactor(router): deduplicate knn plumbing and cut corpus hot-path waste
Post-review cleanup of the knn-first-class-router branch; no behaviour
changes on the API surface.
Reuse/altitude:
- RouterKNNConfig.ResolvedStoreName is now the single source of the
router-corpus-<name> default (was hand-derived in four files).
- corpus.ResolveKNNRouter + corpus.Seed carry the shared model
resolution and seed validation; the REST endpoints and the assistant
MCP client are thin transport adapters over them, with sentinel
errors mapped to HTTP statuses at the echo boundary.
- middleware.NewClassifierDeps assembles the classifier dependency set
once for all five entry points (OpenAI, Anthropic, realtime, decide,
corpus) instead of five hand-copied literals.
- router.AllClassifiers feeds both the status endpoint and the
unknown-classifier error, ending the classifier-list drift.
- Per-classifier requirements moved out of validateRouterPolicies into
their buildClassifier arms; the knn arm owns its embedding_cache
opt-out instead of a name-check in the shared wrap tail.
- adminOnly replaces four inline copies of the admin gate in the
middleware routes.
- localVectorStore.Search delegates to SearchK (identical traces).
Efficiency:
- Manager.Add embeds outside the manager mutex and appends to the
JSONL file (O(new) instead of O(corpus) rewrite); a torn tail from a
crash mid-append is tolerated on read and repaired on next write.
- Stats memoises per store keyed on the file's stat fingerprint and no
longer takes the manager mutex, so the 5s status poll stops parsing
vector-laden JSONL and stops blocking behind seeds.
- KNN Classify decodes each neighbour payload once (was twice) and
builds refs and votes in a single pass with one fallback return.
- Corpus file writes fsync before rename/close.
- The corpus manager is built eagerly in newApplication (sync.Once
dropped); test helper dead branch removed.
Assisted-by: Claude:claude-fable-5 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* feat(router): bind knn corpus vectors to an embedder fingerprint and fail closed on mismatch
Assisted-by: Claude:claude-fable-5 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* chore(mcp): align corpus tool prompts and the mutating-tool safety list
Assisted-by: Claude:claude-fable-5 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* feat(proto,backend): report embedding shape from the llama-cpp backend
Assisted-by: Claude:claude-fable-5 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* feat(embeddings): Go-side pooling — mean/last/decayed_mean with half-life
Assisted-by: Claude:claude-fable-5 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* feat(embeddings): accept chat messages[] and per-request pooling on /v1/embeddings
Assisted-by: Claude:claude-fable-5 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* chore(middleware): name the failing fields when post-merge validation 400s
An intermittent post-merge validation failure surfaced as an opaque 400
during integration (pooling scheme mismatch that no client had sent).
Log the model, the request's pooling override, and the merged config's
pooling fields at the failure point so the next occurrence identifies
whether the request or the stored config carried the bad value.
Assisted-by: Claude:claude-fable-5 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* fix(embeddings): scheme override must not inherit the config's half-life
A model config defaulting to decayed_mean pooling carries
pooling_half_life_tokens; a request overriding the scheme to mean/last
without its own half-life inherited that value, and post-merge
validation rejected the pair the server itself had assembled. Zero the
inherited half-life when the overridden scheme is not decayed_mean; a
request that explicitly pairs a half-life with a non-decayed scheme
still 400s.
Assisted-by: Claude:claude-fable-5 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* fix embedding pooling validation and router bounds
Declare backend embedding layouts and reject incompatible pooling modes. Reset local-store dimensions after a full clear, validate KNN thresholds, and add real backend and store integration coverage.
Assisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* ci: run local-store integration tests
Build and install the local-store backend in the Linux test job, then run the existing store integration suite so new specs are discovered automatically.
Assisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>
---------
Signed-off-by: Richard Palethorpe <io@richiejp.com>
The upstream editable install pins generic PyTorch packages. It
replaces the HIP wheels with CUDA wheels in ROCm images.
Remove those pins only for hipBLAS builds before the editable install.
Keep the existing CPU and CUDA dependency behavior unchanged.
Assisted-by: Codex:gpt-5
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
* ⬆️ Update mudler/vllm.cpp
Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* fix(vllm-cpp): mirror ABI v20 layouts
The dependency bump advances the engine ABI from v17 to v20. The old
binding stops every backend build at the ABI guard and undersizes
structures used at runtime.
Mirror the appended model and video fields so every platform uses the
pinned engine layout.
Assisted-by: Codex:gpt-5
* fix(vllm-cpp): satisfy Apple Clang
The new engine pin captures a namespace-scope help string in a lambda. Apple Clang rejects the redundant capture because upstream enables -Werror.
Carry the one-line source patch until the engine pin includes the fix.
Assisted-by: Codex:gpt-5
* fix(vllm-cpp): align the carry patch
The Apple Clang patch used context from another source revision.
Source preparation rejected it before every backend build.
Align the patch with the pinned engine revision.
Assisted-by: Codex:gpt-5 [monitoring-prs]
---------
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>
The Darwin workflow passes BUILD_TYPE=metal but does not define OS=Darwin. The backend therefore omitted its Metal CMake flags and shipped the runtime source path instead of the embedded library.
Map the requested build type directly to the Metal flags and guard the build contract with a dry-run regression test.
Assisted-by: Codex:gpt-5
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
The vllm-cpp CUDA images were built for Blackwell only: 120a;121a on
amd64 and 121a alone on arm64. vllm.cpp's own release archive builds ten
architectures, so LocalAI shipped one or two of them.
The failure mode is the problem. An unlisted card is not slower, it dies
at the first request with "no kernel image is available for execution on
the device", long after `backends install` reported success. That covers
A100, A10/3090, L4/4090/RTX 6000 Ada, H100/H200, B200, B300, Jetson Orin
and Jetson Thor, and it is how a Jetson Thor node was found serving
nothing at all.
amd64 now builds 80;86;89;90a;100a;103a;120a;121a and arm64 builds
87;90a;100a;110;121a, split by where the silicon exists: Jetson is
arm64-only, desktop 120a is amd64-only, and 90a/100a are on both because
of GH200/GB200.
Triton-AOT stays ON for both, which the old comment said was impossible.
It is not, at the version we pin: only maintainer REGEN needs a single
arch, while the BUILDER path embeds every vendored cubin tree and selects
by exact SM, so 87/103a/110/120a take the portable CUDA kernels and can
never load a neighbouring cubin. Upstream ships its ten-SM archive that
way.
The CUDA 13 guard now covers both branches rather than amd64 alone. arm64
needs compute_121a just as much, and CI already builds it with 13.
Cost is smaller than the arch count suggests, because gencode is
per-source: fp4-mma still resolves to 120a;121a, and the CUTLASS
scaled-mm kernels to one arch each, so the added architectures do not
multiply the expensive translation units.
Verified: flag generation checked for both branches, CUDA 12 still
refused, CPU build untouched; both arch lists expanded through vllm.cpp's
own vt_cuda_gencode_options and per-feature arch gating, and all six
vendored Triton trees confirmed intact, at the exact pinned commit. A
real compile is CI-only: there is no CUDA toolchain on the dev box.
Assisted-by: Claude Code:claude-opus-5[1m] [Read] [Bash] [Edit]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
* ⬆️ Update ggml-org/llama.cpp
Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* fix(llama-cpp): refresh the TTS patch
The llama.cpp update moved and changed the generated-audio pipeline. Refresh the carried patch so backend builds can apply it to the new revision.
Assisted-by: Codex:gpt-5.4
---------
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>
Forward BUILD_TYPE=metal to PARAKEET_GGML_METAL so macOS backend artifacts include Metal support.
Assisted-by: Codex:gpt-5.6-sol
Signed-off-by: fierywaters <fierywaters13@gmail.com>
