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543
Commits
| Author | SHA1 | Message | Date | |
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 Ettore Di Giacinto
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db12122329 |
fix(reasoning): ignore preclosed prompt markers
Do not seed streaming reasoning state when the latest prompt thinking marker is already followed by its matching closing marker. This keeps direct Gemma 4 output in content when its template disables thinking with a preclosed channel. Assisted-by: Codex:gpt-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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Ettore Di Giacinto
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db09452d54 |
feat(tts): support multi-reference personalities
Saved profiles previously resolved to one audio path and transcript, so cloning backends could not use several examples of one personality. Store ordered audio and transcript pairs while preserving the legacy first-reference fields. Fish Speech and audio.cpp receive all pairs, including on distributed workers. Other backends retain their single-reference behavior. Assisted-by: Codex:gpt-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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Ettore Di Giacinto
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a64fc865ba |
fix(distributed): aggregate prefix cache pressure
Broadcast forced-disturb events and successful scale-up resets so every frontend shares the same rolling autoscale signal. Deduplicate NATS echoes, expose an origin-only Prometheus counter, and document cluster behavior. Closes #10083 Assisted-by: Codex:gpt-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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9bd7d17ff6 |
[model-config] feat: add environment variables support for backends (#10721)
* feat: add environment variables support for backends in model configurations - Add field to model configuration to pass environment variables to backend processes - Update backend options and model configuration handling - Add documentation for environment variables configuration with examples including CUDA_VISIBLE_DEVICES Assisted-by: qwen-agentworld-35b-a3b Signed-off-by: nold <nold42@pm.me> * fix(test): Test environment variables configuration parsing from YAML Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> Signed-off-by: nold <Nold360@users.noreply.github.com> --------- Signed-off-by: nold <nold42@pm.me> Signed-off-by: nold <Nold360@users.noreply.github.com> Co-authored-by: nold <nold42@pm.me> Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com> |
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localai-org-maint-botandEttore Di Giacinto
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bf93008ef3 |
fix(backends): bound temporary scratch files (#11941)
Backend processes shared the host temporary directory, so crashes could leave request images and audio behind until the filesystem filled. Give each process a locked LocalAI-owned runtime, remove scratch on exit, and sweep only marked abandoned runtimes at the next start. Also close known request error-path leaks in the Python media backends, CrispASR, LongCat Video, and stable-diffusion.cpp. Assisted-by: Codex:gpt-5 Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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localai-org-maint-botandEttore Di Giacinto
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8b5f62cc02 |
fix(distributed): bound ephemeral staging (#11924)
* docs: design ephemeral staging retention High-frequency camera and audio inputs can fill a worker before the current six-hour cleanup window expires. Define a one-hour retention policy that preserves recently modified request payloads. Assisted-by: Codex:gpt-6 * docs: make ephemeral staging request-owned Time-based retention can still fill a worker under bursty or high-rate input. Define request-lifecycle cleanup with capacity reservation and crash recovery. Assisted-by: Codex:gpt-6 * feat(distributed): release exact staged keys Request inputs need transport-neutral cleanup after backend calls. Add authenticated exact-key deletion for HTTP and coordinated cache eviction before shared-object deletion for S3/NATS. Preserve URL metacharacters as filename data, reject unsafe keys, and remove upload sidecars while pruning empty request directories. Assisted-by: Codex:gpt-6 * fix(distributed): release staged request inputs Ephemeral inputs remained on workers after inference completed. Release each exact key after synchronous and streaming calls, including partial staging failures. Use a bounded cleanup context so caller cancellation cannot suppress release. Preserve caller requests and backend results when cleanup fails. Assisted-by: Codex:gpt-6 * feat(worker): bound ephemeral staging capacity Concurrent staging can otherwise exceed its byte limit or consume reserved filesystem headroom. Explicit states keep bytes charged through each reservation, write, and commit transition. Use a synchronized waiter count to prove Commit blocks until bounded writers close, and retain committed baselines across re-reservation. Assisted-by: Codex:gpt-6 * feat(worker): enforce ephemeral staging bounds Share capacity accounting across HTTP and S3 request inputs so workers reject uploads before exhausting their filesystem. Reconcile exact release and crash recovery with the same guard. Assisted-by: Codex:gpt-6 * fix(distributed): make staged release race-safe Pin each release path component before removing request-owned inputs and sidecars. Stop pruning when a directory identity changes. Assisted-by: Codex:gpt-6 * fix(worker): retain staged input ownership Keep committed request inputs protected from age recovery until exact release ends their ownership. Startup-scanned files remain reclaimable and can acquire ownership through reservation. Assisted-by: Codex:gpt-6 * fix(worker): claim cached ephemeral inputs Keep startup-scanned cache hits owned while inference uses them and reconcile their actual size against capacity. Assisted-by: Codex:gpt-6 * fix(distributed): enforce staging admission Propagate multimodal staging failures before inference and claim matching ephemeral HTTP cache entries. Fall back to PUT when an older worker does not support claims. Assisted-by: Codex:gpt-6 * fix(distributed): close staging accounting gaps Keep unknown-length reservations charged until bytes reach disk and bound NATS release waits by the lifecycle cleanup deadline. Assisted-by: Codex:gpt-6 * fix(distributed): restage swept cache hits Treat files removed between cache probing and ownership claims as misses so HTTP and S3 workers can stage them again. Assisted-by: Codex:gpt-6 * fix(distributed): release staged inputs by request Release every input from one inference with one fixed-size worker coordination request. Fence request ingress against cleanup, bound staging capacity and cleanup state, and retain exact-key release for rolling upgrades. Assisted-by: Codex:gpt-6 --------- Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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Tai An
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9901103aac |
fix(downloader): make file:// installs reachable again (#11701) (#11734)
fix(downloader): make file:// installs reachable again
DownloadFileWithContext already has a branch that copies from a local
file, but it could never run. Before reaching it the function decides
whether the destination is fetchable with
} else if !os.IsNotExist(err) || !URI(url).LooksLikeHTTPURL() {
and LooksLikeHTTPURL is http(s) only, so any URI resolving to a local
path is rejected there. Falling through requires the destination to be
missing AND the source to be an HTTP URL, which a file:// source never
is -- leaving the local-source branch below unreachable.
A first import always has a missing destination, so importing
file:///path/to/model.gguf always failed, with an error that listed
file:// among the supported schemes (#11701).
Name the local-source condition once as URI.hasLocalSource and use it
both to admit the destination and to pick the source, so the two cannot
drift apart again.
Signed-off-by: Tai An <antai12232931@outlook.com>
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mudler's LocalAI [bot]andEttore Di Giacinto
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80e3240f2d |
feat(distributed): key scheduling rules by a model alias (#11771)
Node placement and replica rules could only name a model, so an operator who pinned "llama3" to the GPU tier had to rewrite the rule whenever a different model took over that job. An alias already gives a stable name for whichever model serves it, and a rule on that name makes it a deployment slot: repoint the alias and the placement follows. A rule keeps the name the operator chose. Reads resolve that name through the config loader to the model the rule governs, so the reconciler counts, schedules and trims replicas of the target, and the router finds an alias-keyed rule from the target it is already routing. An alias that resolves to nothing governs nothing loadable, so the reconciler skips it and the write paths refuse it. A replica is shared by every name that resolves to it, so only one rule can decide where it runs. The REST and MCP write paths reject a rule whose target another rule already governs. A pair that arrives some other way, such as a seed file or an alias repointed onto a model that already has a rule, resolves in favour of the rule named after the model itself and then the oldest, and the rest are listed as shadowed. The eviction guard is the exception: it matches rules to replicas in raw SQL inside a locking transaction and cannot resolve an alias. It reads a stored target that the reconciler refreshes each tick, and falls back to the rule's own name when that target is empty. Assisted-by: Claude:claude-opus-5 golangci-lint eslint Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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mudler's LocalAI [bot]andEttore Di Giacinto
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d7ff43781d |
fix(oci): resume interrupted layer downloads (#11688)
quay.io redirects blob downloads to pre-signed S3/Akamai URLs that expire after about 10 minutes. On a slow connection a multi-GiB backend layer cannot finish inside that window, so the connection drops mid-stream on every attempt. The retry added for #10577 restarted each attempt from byte zero, which replayed the same failure until the budget ran out and the install failed with "unexpected EOF". A retry now keeps the bytes already on disk and re-requests the blob with "Range: bytes=N-". Each request goes back to the registry, so it gets a fresh redirect URL and auth token. The retry budget only counts attempts that made no forward progress, so a slow link that keeps advancing keeps downloading. A resumed file is spliced from separate responses and bypasses the digest check in layer.Compressed(), so the assembled file is re-verified against the layer digest before it is trusted; on a mismatch the download starts over through the verified reader. Fixes #10577 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> |
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Ettore Di Giacinto
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d40662cfd5 |
fix(model): report why a backend state directory fails
process.New applies its options and discards the error they return. When WithTemporaryStateDir could not create a directory, StateDir stayed empty and every later option went unapplied, so the failure surfaced from Run as "mkdir : no such file or directory" naming no path. That message cost a full day of diagnosis on a worker whose volume was full: the real errno was ENOSPC and nothing reported it. The loader now creates the directory itself and returns the underlying error with the path attached. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-opus-5 [golangci-lint] |
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localai-org-maint-botandlocalai-org-maint-bot
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8f56e4e042 |
fix(vram): persist remote probe metadata (#11487)
* fix(vram): persist remote probe metadata The startup warmer repeated remote size and GGUF metadata probes after every restart because both caches lived only in memory. Store successful HTTP probes for 24 hours so frequent restarts reuse the prior results. Bound the cache, reject invalid records, and purge it when gallery data changes. Local model files continue to bypass persistence. Assisted-by: Codex:gpt-5 * fix(vram): check temporary file cleanup The lint gate rejects the unchecked cleanup call in the persistent cache writer. Assisted-by: Codex:gpt-5.6 [golangci-lint] * fix(vram): make persistent cache optional Remote metadata probes can transfer enough data that operators need control over disk reuse and startup warming. Gallery autoload now gates both behaviors, and the runtime setting applies changes immediately. Assisted-by: Codex:gpt-5 * fix(ui): expose gallery startup pre-warm The existing gallery autoload setting also gates the startup metadata warmer. Name both effects in Settings so operators can find the requested boot control. Assisted-by: Codex:gpt-5 --------- Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com> |
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mudler's LocalAI [bot]andEttore Di Giacinto
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82c191afad |
fix(distributed): keep model replicas config-consistent (#11664)
* docs: design configurable copy buffering Document the context-aware copy buffer option and its validation plan. Assisted-by: Codex:gpt-5 * docs: design durable distributed staging operations Assisted-by: Codex:gpt-5 * docs: design distributed model config revisions Assisted-by: Codex:GPT-5 [apply_patch] [exec_command] * feat(config): add stable model revisions Hash typed model configuration and effective protobuf options deterministically for distributed revision comparisons. Assisted-by: Codex:GPT-5 [apply_patch] [exec_command] * feat(worker): acknowledge exact model stops Assisted-by: Codex:GPT-5 [apply_patch] [exec_command] * feat(nodes): track model config revisions Assisted-by: Codex:GPT-5 [apply_patch] * fix(distributed): retry quarantined model cleanup Stop quarantined replicas by exact process identity, retain failed cleanup as durable capped retries, and compare-and-delete only the claimed registry row. Process one sufficiently leased row at a time so multiple frontends cannot duplicate slow cleanup work. Assisted-by: Codex:gpt-5 * fix(distributed): bind loads to config revisions Assisted-by: Codex: GPT-5 [OpenAI Codex] * fix(modeladmin): apply config revisions consistently Route model edits, patches, state changes, deletion, and peer refreshes through the same revision lifecycle. Quarantine stale replicas before exact cleanup and report durable pending cleanup without failing successful config writes. Assisted-by: Codex: GPT-5 [OpenAI Codex] * feat(distributed): expose model config revision state Document replica revision observability and durable cleanup behavior. Keep pending cleanup explicit in model mutation responses and verify endpoint contracts expose revision state without serialized load options. Assisted-by: Codex:GPT-5 [OpenAI Codex] * test(distributed): cover model revision convergence Exercise cross-frontend quarantine, stale replay rejection, exact cleanup retry, worker re-registration, and current-generation replica convergence against the distributed PostgreSQL harness. Assisted-by: Codex:gpt-5 * fix(distributed): pass config revision CI checks Keep configured gallery sources out of authoritative runtime snapshots only after validating their real schema, and harden rollback snapshots against symlink races and non-regular files. Assisted-by: Codex: GPT-5 [OpenAI Codex] --------- Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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mudler's LocalAI [bot]andEttore Di Giacinto
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5429f569e0 |
fix(progress): stop status updates throttling downloads (#11661)
* feat(progress): aggregate and coalesce gallery downloads Assisted-by: Codex:gpt-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(ui): show rolling transfer speed Assisted-by: Codex:gpt-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(ui): preserve legacy import byte labels Assisted-by: Codex:gpt-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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mudler's LocalAI [bot]andEttore Di Giacinto
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5072219829 |
feat(xio): make copy buffer size configurable (#11660)
* docs: design configurable copy buffering Document the context-aware copy buffer option and its validation plan. Assisted-by: Codex:gpt-5 * feat(xio): configure context copy buffer size --------- Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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Ettore Di Giacinto
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2383726d6d |
Revert "chore(tests): Avoid network, sleep and more during tests" (#11601)
Revert "chore(tests): Avoid network, sleep and more during tests (#11050)"
This reverts commit
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Richard Palethorpeandlocalai-org-maint-bot
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cb3bf7af3f |
chore(tests): Avoid network, sleep and more during tests (#11050)
* 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 |
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localai-org-maint-botandlocalai-org-maint-bot
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0761bd02c7 |
feat(chat): add end-to-end context compression (#11556)
* feat(config): add context compression policy Define the opt-in model configuration contract before the chat middleware consumes it. Document each policy field so later request handling does not invent a second schema.\n\nRefs #9534\n\nAssisted-by: Codex:gpt-5 * fix(config): register compression fields The model editor metadata gate rejects new config fields without descriptions and suitable controls. Register the compression policy so operators can edit its six fields safely. Assisted-by: Codex:gpt-5 [monitoring-prs] * feat(chat): compress long contexts Long conversations currently fail once they reach the model context window. The opt-in policy now summarizes complete older turns before primary inference and preserves the newest tool chains. Both OpenAI and MCP chat routes share the same transformation. Usage metadata and metrics expose each compression event. Refs #9534 Assisted-by: Codex:gpt-5 --------- Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com> |
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Richard Palethorpe
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d10374f849 |
feat(router): make KNN a first-class classifier with a persisted, curated corpus (#10652)
* 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>
|
||
|
Richard Palethorpe
|
799cc9f211 |
feat: bound global admission and expose running backend traces (#11560)
feat: bound backend admission and expose running traces Add process-wide backend execution admission without blocking UI or administrative HTTP work. Represent backend operations while they are in flight, surface running traces with immediate log links, and tie streaming admission leases to the gRPC receive lifecycle. Assisted-by: OpenAI Codex: GPT-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> |
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|
localai-org-maint-botandlocalai-org-maint-bot
|
db21c47a76 |
fix(downloader): retry checksum mismatches (#11536)
A remote can serve stale or corrupted bytes for one request. Mark the integrity failure as transient so the bounded download planner retries it. Assisted-by: Codex:gpt-5.6 Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com> |
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|
88edd7fc7f |
fix(distributed): run cold model loads as durable jobs instead of holding the advisory lock (#11514)
* fix(advisorylock): set statement_timeout alongside lock_timeout
WithLockCtx already overrides a deployment-wide lock_timeout on its
dedicated connection so a blocking pg_advisory_lock() waits its turn
instead of failing with 55P03. statement_timeout aborts that exact same
statement independently, with SQLSTATE 57014, and was not overridden.
Production roles commonly carry statement_timeout=60s. Any guarded
section longer than that (a cold model load stages for tens of minutes)
therefore killed every concurrent waiter:
advisorylock: acquiring lock 9003261067483446873: ERROR: canceling
statement due to statement timeout (SQLSTATE 57014)
Derive it from the same context budget as lock_timeout, with a matching
RESET so the pooled connection is returned clean.
Assisted-by: Claude Opus 5 [claude-code]
* feat(distributed): add ModelLoadJob, the durable cold-load record
A cold load in distributed mode is a long-running background job, but it
was modelled as a synchronous side effect of an inference request: the
whole of it (backend install, multi-GB staging, checkpoint load) ran
inside the per-model advisory lock. Loading a 35.7 GB GGUF held that lock
for ~20 minutes, so every concurrent request for the same model blocked
on pg_advisory_lock and died at the role's 60s statement_timeout.
Introduce the row that lets the lock shrink to a decision. Exactly one
ModelLoadJob may be active per tracking key; that uniqueness — not the
lifetime of a lock — is what de-duplicates concurrent loaders across
replicas. ClaimLoadJob does its read-then-write under the advisory lock
and nothing else: no network, file or gRPC I/O inside the guarded
section, so a claim costs milliseconds no matter how long the resulting
load takes.
LastProgress is a heartbeat rather than a byte counter. A checkpoint load
legitimately moves zero bytes for many minutes, so a reaper keyed on byte
movement would reclaim a healthy job mid-load; byte progress stays the
concern of load_deadline.go. A job whose heartbeat stops for longer than
the orphan window is reclaimable, so a replica killed mid-load cannot
wedge a model permanently.
Failed jobs keep their row for a short grace so an immediately-following
request reports the real cause instead of silently starting a fresh load
of a model that just failed.
No caller yet — the router moves onto this in the next commit.
Assisted-by: Claude Opus 5 [claude-code]
* refactor(distributed): run cold loads as jobs, outside the advisory lock
Route wrapped the entire cold load — node selection, backend install,
multi-GB staging and the remote LoadModel — in the per-model advisory
lock. The lock's job is to de-duplicate concurrent loaders, a decision
that takes milliseconds; holding it for the tens of minutes the resulting
work takes is what turned a dedup mechanism into a cluster-wide outage
for that model.
Split it into a claim and a run. The claim is the only thing left inside
the lock. The run is a background job owned by the claiming replica and
bounded by the same progress-extended deadline as before; every other
request for that model — local or on another replica — attaches as a
waiter and is served the moment the model is ready, with no duplicate
load and no lock contention.
Waiters share one broadcast rather than an ordered queue: they all want
the identical outcome, so ordering them would add fairness machinery that
changes no result. The local channel wakes same-replica waiters instantly
and a 2s DB poll is the authority, because a waiter on another replica
has no channel to close. On wake a waiter re-runs the warm path rather
than trusting the signal — the model may have been evicted in between.
A waiter whose client disconnects returns immediately and the job keeps
running; it belongs to the job record, not to the request. A failure is
recorded on the row so every waiter reports the real cause, and the row
survives briefly so the next request does not read "no job" as "not
loading" and start a duplicate load of a model that just failed.
The runner heartbeats the row on a fixed interval whether or not bytes
are moving, which is what keeps a legitimately silent checkpoint load
from being reclaimed as an orphan. Phase (installing/staging/loading) and
placement ride to the heartbeat on the context, the same seam
load_deadline.go already uses, so single-host paths are untouched.
Non-distributed mode (no DB) keeps the inline load exactly as it was.
Assisted-by: Claude Opus 5 [claude-code]
* feat(distributed): bound the wait for a loading model and answer with progress
A request whose model is cold-loading now attaches to the running job and
is served the moment the model is ready. That wait has to be bounded: a
held HTTP request cannot survive real infrastructure, and an ingress or LB
idle timeout kills a twenty-minute request regardless of what LocalAI
does.
New LOCALAI_MODEL_LOAD_WAIT (default 60s) bounds the CALLER, never the
load — the job keeps running either way. On expiry the request gets 503
with Retry-After and a structured body naming the model, the node, the
phase, byte progress and an ETA. The `error` envelope keeps OpenAI
clients working; `loading` is additive so they ignore it.
The ETA comes from the job's own observed rate and is omitted rather than
guessed until enough bytes have moved for that rate to mean anything: a
confidently wrong ETA on a twenty-minute wait is worse than none.
Retry-After is that ETA when known, clamped to [5s, 300s], and the wait
budget otherwise.
LOCALAI_MODEL_LOAD_WAIT=0 waits unbounded, for deployments with no proxy
in front. Zero in the config struct still means "unset, use the default",
so the CLI records the operator's zero as ModelLoadWaitUnbounded rather
than losing the distinction.
The distributed branch of ModelLoader.loadModel wrapped the router's
error with %s, which flattened it to a string. Use %w: the typed error is
what the HTTP layer keys the 503 off.
Assisted-by: Claude Opus 5 [claude-code]
* feat(api): add GET /api/models/{id}/load-status
A client that receives 503 while a model stages onto a worker needs
somewhere to poll. This returns the same `loading` object the 503 carries
— phase, node, byte progress and ETA — or 404 when no load is running.
Read-only and observability-shaped, so it is deliberately neither
admin-gated nor feature-gated: it explains a 503 the caller just
received, and hiding that behind a per-modality feature would make the
explanation for a failed image request depend on chat permissions. It
also gets no MCP tool, since there is nothing here an admin would manage
conversationally.
Registered on the surfaces from .agents/api-endpoints-and-auth.md: the
swagger block (existing `models` tag, so /api/instructions needs no new
area), the endpoint discovery maps in RegisterLocalAIRoutes, regenerated
swagger, and the distributed-mode docs page. No FLAG_* usecase is
involved, so capabilities.js is unchanged.
Assisted-by: Claude Opus 5 [claude-code]
* feat(ui): show cold-load progress in Chat and retry when the model is ready
A chat request for a model that is still staging onto a worker now gets a
503 carrying live progress instead of an error. Render it: the composer
shows the phase (installing / staging / loading), the node, the percent
and the ETA, then polls load-status and re-sends the request the moment
the model is ready.
Reuses the staging progress idiom the page already had rather than
inventing a second one — the two sources are folded into one
loadProgress, with the load job winning because it is authoritative
across frontend replicas and knows the phase, where the staging operation
only knows about a byte transfer this replica happens to be performing.
Waiting is bounded (three send attempts, ~30 min of polling each), so a
load that never finishes still surfaces as an error rather than as a
spinner nobody questions. An aborted generation stops the polling too.
Assisted-by: Claude Opus 5 [claude-code]
* fix(distributed): check warm-path cleanup errors
The router moved legacy cleanup calls onto newly linted lines. Report
cleanup failures while preserving the fallback to a cold load.
Assisted-by: Codex:gpt-5 [golangci-lint]
---------
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>
|
||
|
localai-org-maint-botandlocalai-org-maint-bot
|
342c3d0e17 |
fix(model): report backend crash diagnostics (#11532)
Unexpected runtime exits only reported an exit code, which hid the backend diagnostic. Include the final non-empty stderr line when one exists. Assisted-by: Codex:gpt-5 Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com> |
||
|
localai-org-maint-botandlocalai-org-maint-bot
|
f2cdc06781 |
fix(model): surface backend startup exits (#11447)
* fix(model): surface backend startup exits Preserve the local backend process exit code and bounded stderr diagnostic when the process dies before its gRPC service becomes ready. Fixes #9050 Assisted-by: Codex:gpt-5 * fix(model): satisfy startup diagnostic checks Assisted-by: Codex:gpt-5.6 [Codex] --------- Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com> |
||
|
Adiraandlocalai-org-maint-bot
|
ab52813342 |
feat(modelartifacts): support bounded parallel Hugging Face file downloads (#11162)
* feat(modelartifacts): support bounded parallel Hugging Face file downloads Closes #11114. Snapshot materialization fetched every file through the sequential executor in DownloadFilesWithContext, so a repository split into many shards spent most of its wall clock in per-file request latency rather than moving bytes. Add DownloadFilesWithConcurrency, an errgroup with SetLimit, and keep DownloadFilesWithContext as a wrapper that passes a limit of 1. That leaves the two non-artifact callers (core/gallery and the model config loader) on exactly the path they had: tasks still run in slice order, and the first failure still returns before any later task starts. Only whole files run in parallel. A single file is never split, so the .partial resume machinery and the per-file SHA check in downloadTaskWithRetry are untouched. Two details the parallel path forced: - completedBytes becomes an atomic.Int64. Several AfterDownload hooks add to it while other files' progress callbacks read it; without this the race detector reports three races on the new specs. - The caller's status callback is serialized. The sequential path gave it an implicit guarantee of never being entered twice at once, and it belongs to the caller, so the executor keeps that promise rather than pushing locking onto every caller. AfterDownload is deliberately not serialized -- it does the verify-and-promote work that parallelism exists to overlap. Manifest order needed no work: each hook already writes its own manifest.Files slot by snapshot index, so entries stay in snapshot order whatever the completion order. A spec now pins that. The default is 1, unchanged behaviour. A shared models volume is often the bottleneck rather than the link, so raising it is a deployment decision; --artifact-download-concurrency and LOCALAI_ARTIFACT_DOWNLOAD_CONCURRENCY expose it on both `run` and `models install`. Not done here, per the issue: no chunk-level parallelism within a single file, and no throughput measurements across concurrency 1/2/4/8 -- that needs a representative sharded repo and a real link. Assisted-by: Claude:claude-opus-5 go-test gofmt Signed-off-by: Adira Denis Muhando <dennisadira@gmail.com> * feat(modelartifacts): expose download concurrency in settings Follow-up to review feedback on #11162: - The CLI flag and docs no longer describe the limit as Hugging Face specific. It applies to any artifact source, as @mudler pointed out. - artifact_download_concurrency is now a persisted runtime setting and is editable from the WebUI, so it can be changed without a restart. The manager's limit becomes an atomic.Int64 behind SetDownloadConcurrency, because a live runtime setting can be updated while a materialization is already in flight. Injected materializers stay compatible through an optional setter interface, so a manager that does not implement it is simply left alone. Verified before taking this on: go build, go vet and go test -race all pass for pkg/modelartifacts, pkg/downloader and core/config. The React UI builds with vite, artifact_download_concurrency is present in the built Settings chunk, and eslint reports the same 8 pre-existing warnings on Settings.jsx as it does without the change. Implementation contributed by localai-org-maint-bot on the review thread; reviewed, verified and signed off by me. Assisted-by: Codex:gpt-5 Assisted-by: Claude:claude-opus-5 go-test vite eslint 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> |
||
|
mudler's LocalAI [bot]andEttore Di Giacinto
|
a77780ad14 |
feat(gallery): fall back to mirrors and a cached index when the primary source fails (#11389)
* feat(version): include OS and arch in the outbound User-Agent
Registries and galleries already receive LocalAI/<version>; adding the
platform follows ordinary client convention and discloses nothing a
registry cannot infer from the manifest it is asked for.
Updates the User-Agent note in docs/content/getting-started/models.md,
which documented the old format.
Assisted-by: Claude:claude-opus-5 [go vet] [go test]
* feat(downloader): identify LocalAI on outbound requests
pkg/oci has always sent a User-Agent; the downloader sent none, so gallery
reads, model-file downloads, resume probes, content-length probes and the
HuggingFace safety scan all went out as a bare Go HTTP client, unattributable
to LocalAI by the hosts serving them.
HuggingFaceScan moves off the client's Get shorthand to an explicit request
for the same reason — the shorthand gives no place to hang a header.
Extends the User-Agent note in docs/content/getting-started/models.md, which
claimed the header was sent only to Ollama and OCI registries.
Assisted-by: Claude:claude-opus-5 [go vet] [go test]
* feat(gallery): add a mirrors list to gallery configuration
Mirrors are an availability fallback, tried in order only after the primary
URL fails. omitempty keeps existing configurations byte-identical.
The slice makes config.Gallery non-comparable with ==, which broke the two
slices.Equal callers in the runtime settings registry. Replace them with an
explicit Gallery.Equal / GalleriesEqual so a gallery list that differs from
the baseline only by its mirrors still counts as env/CLI-set. Equal compares
the Verification block by value; == compared it by pointer identity, which
called two structurally identical policies different.
Assisted-by: Claude:claude-opus-5 [go vet] [go test]
* fix(downloader): treat an HTTP error status as a failed read
ReadWithCallback handed the response body to its callback whatever the
status was, so a 404 page or a 502 from a CDN arrived as if it were a
gallery index or a model config: it parsed to nothing, got cached for an
hour, and no caller could tell the source had been down. DownloadFile has
always checked the status; this path never did.
Mirror fallback depends on it — a source that answers with an error page
has to count as unreachable, or the next candidate is never tried.
Assisted-by: Claude:claude-opus-5 [go vet] [go test]
* feat(gallery): fall back to mirrors when the primary source fails
Candidates are tried primary-first with a bounded timeout each, and a
source that just failed is skipped for a cooldown so a dead host is not
re-dialled on every listing. When every candidate is in cooldown they are
all tried anyway: refusing to serve a gallery we might be able to reach is
worse than one slow request.
The one-hour index cache is untouched and stays keyed on the gallery's own
identity, so a mirror-served fetch fills the entry the primary would have.
No SSRF validation is applied to the candidates. validateGalleryConfigURL
guards GetGalleryConfigFromURL because that URL arrives in a request body;
mirrors come from the operator's gallery configuration, the same place the
primary has always come from, and the index fetch has never validated the
primary. Validating mirrors while the primary goes unchecked would buy
nothing and would break the deployment mirrors exist for — an index served
from a host on the LAN.
Assisted-by: Claude:claude-opus-5 [go vet] [go test]
* fix(gallery): loosen the mirror fetch timeout and stop blaming the caller
The downloader only ever bounded response headers, never the body, so the
per-attempt deadline added with mirror fallback was the first whole-transfer
timeout this path has had. At 30s the default 2.2 MB index demanded ~75 KB/s
sustained: a rural-DSL, mobile or satellite user who used to wait 60s and
succeed would now fail, and then eat a 10-minute cooldown on a source that
was perfectly healthy. Raised to 120s (~19 KB/s), which no link that could
go on to download a model will miss, and made it a var so a test can shorten
it and prove a hanging candidate is actually abandoned.
Caller cancellation is no longer recorded as a failure of the source.
Unreachable today since getGalleryElements passes context.Background(), but
once a request context is wired through, a browser disconnect would have
blackholed every candidate for ten minutes over something the sources had
no part in.
Also document that mirrors do not cover a .ref gallery URL: the reference is
resolved before mirrors are considered, so a .ref that cannot be fetched
fails the gallery outright. Routing .ref resolution through the candidate
list needs a per-candidate resolve-and-fetch and a decision about cache
identity, which is more than this change should carry.
Assisted-by: Claude:claude-opus-5 [go vet] [go test]
* feat(gallery): serve the last known good index when everything is offline
A successful fetch is cached alongside the models directory and served when
no source is reachable, so an offline or airgapped machine can still list
its gallery. Entries may be stale in that state, and the fallback is logged.
The copy is deliberately kept out of the models directory, where a <name>.yaml
file is read as an installed model's configuration, and is named after a digest
of the gallery URL so the model and backend galleries cannot collide. Writing
it is best effort: a read-only or full disk must not fail a fetch that
otherwise succeeded.
Also corrects the mirror scheme list in the docs: the HuggingFace prefixes are
huggingface://, hf:// and hf.co/, not huggingface:.
Assisted-by: Claude:claude-opus-5 [go vet] [go test]
* fix(gallery): only cache a response that is really a gallery index
The last known good copy was written on any 2xx, before anything looked
at the bytes: the parse only happens later, in getGalleryElements. A
captive portal, a corporate proxy or a CDN error page all answer HTTP 200
with HTML, so any of them could overwrite a good copy. The listing fails
then and there, and the next offline start — the one case this cache
exists for — serves the interception page instead of the gallery it
already had.
Probe the body before persisting it: unmarshal into a []any and keep the
older copy unless the result is a non-empty sequence. An empty document
is rejected too. It parses fine, so a parse-only check would still let a
blank response replace a populated index with one that lists nothing,
which from the user's side is the same outage; and an empty index is
worth nothing offline, so there is no case where caching it beats keeping
what came before. The live body is still returned to the caller — the
probe gates persistence only, and getGalleryElements remains the thing
that reports a real parse failure.
Also in this pass:
- The empty-basePath guard only caught exact "". galleryCachePath(".")
and galleryCachePath("models") still resolved the cache sibling against
the process working directory, which is what the guard was written to
prevent. Reject any non-absolute base.
- The docs claimed the offline cache "applies to every gallery, with or
without mirrors". Not true for a .ref URL: the reference is resolved
before the cache is consulted, so a .ref gallery fails offline even
after a successful earlier fetch, and the cache file it writes can
never be read. Extend the .ref warning and qualify the sentence.
- pkg/oci's UserAgent comment never mentioned the platform component
added earlier on this branch.
- resetGalleryFailures and expireGalleryFailure had no non-test callers;
move them into the test file.
- The all-candidates-failed error reported len(attempt), so a three
mirror gallery with two sources in cooldown said "all 1 source(s)
failed" — which reads as a misconfiguration. Report how many were
configured and how many were skipped.
- Give the package's tests their own TMPDIR. The cache is a sibling of
the models directory, which is right in production, but specs that
build a models directory directly under /tmp made the sibling resolve
to /tmp/cache and left it behind after every run.
Assisted-by: Claude:claude-opus-5 [go vet] [go test]
* fix(gallery): convert the new tests to Ginkgo and clear the lint gate
.agents/coding-style.md requires Ginkgo v2 + Gomega for every Go test and
has forbidigo enforce it; the stdlib-style tests still in the tree are tech
debt, not a pattern. Every test file this branch added was written in the
forbidden style, which is what turned CI red.
Convert all five of them. internal had no suite bootstrap, so add one;
core/config, core/gallery and pkg/downloader already have theirs and are
reused, so no package mixes styles. pkg/downloader/useragent_test.go and
read_status_test.go were not in CI's forbidigo list but used the same
forbidden calls, so they are converted too.
The one conversion with a trap in it is core/gallery. Go's t.TempDir()
yields $TMPDIR/<TestName>NNNN/001, so the gallery cache — a sibling of the
models directory — was isolated per test. GinkgoT().TempDir() yields a flat
$TMPDIR/ginkgoNNNN, which would put every spec's cache in one shared
directory and break the specs that count files in it. tempModelsDir()
restores the original isolation.
Also make the deliberate cleanup-path ignores explicit with `_ =`, drop the
gallery cache directory to 0750 (nothing outside the server's own user and
group reads it), and justify the cache read with a #nosec G304 comment in
the form already used elsewhere in the tree: the path is a hex sha256 under
a fixed directory with a non-absolute base already rejected, so no
caller-supplied text reaches it.
Re-ran the mutations these specs were verified against — dropping the
platform suffix from UserAgent, making Gallery.Equal ignore Mirrors and
ignore Name, removing persistGalleryIndex's validity probe, removing the
!filepath.IsAbs guard, not skipping a cooled-down candidate, and dropping
the per-attempt timeout. All seven still fail the converted specs.
Assisted-by: Claude:claude-opus-5 [go vet] [go test] [golangci-lint] [gosec]
---------
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
|
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|
Richard Palethorpe
|
f8d3f31594 |
fix(vram): contain malformed GGUF metadata (#11374)
Recover parser panics at metadata boundaries, skip unneeded remote arrays, and use the parser's overflow-hardened release. Keep detached gallery workers and CrispASR probes from terminating their processes on malformed GGUF input. Disable startup warming in the provided Compose files as an operational fallback. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> |
||
|
Peteandlocalai-org-maint-bot
|
8a68f3571c |
feat(api): add POST /v1/images/upscale endpoint (#10227)
* feat(api): add POST /v1/images/upscale endpoint Add a new image upscaling endpoint that accepts a source image and returns an upscaled version. Supports selectable upscaler models (e.g. realesrgan) and a configurable scale factor (2x or 4x). - backend.proto: add UpscaleImage RPC and UpscaleImageRequest message - pkg/grpc: implement UpscaleImage in Backend interface, client, server and embed shim - core/backend/upscale.go: new backend helper (mirrors ImageGeneration) - core/http/endpoints/openai/upscale.go: new multipart/form-data handler - core/http/routes/openai.go: register POST /v1/images/upscale - core/http/auth/features.go: gate upscale routes under FeatureImages - backend/python/diffusers/backend.py: implement UpscaleImage — uses diffusers upscale pipeline when loaded, falls back to Lanczos resize * fix(grpc): add UpscaleImage stub to Base backend All Go backends embedding Base now satisfy the AIModel interface without needing to implement UpscaleImage explicitly. * fix(images): complete upscale endpoint integration Store generated upscales under the served images directory, validate scale factors, document and advertise the endpoint, and add a functional Stable Diffusion x4 gallery model. Assisted-by: Codex:gpt-5 --------- Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com> |
||
|
Owen Adirah
|
8f74f74b10 |
feat(mcp): expose scheduling admin tools (#11228)
* feat(mcp): add scheduling client contracts Assisted-by: Hephaestus:openai/gpt-5.5 Signed-off-by: Owen Adirah <owenadira@gmail.com> * feat(mcp): add scheduling HTTP client support Assisted-by: Hephaestus:openai/gpt-5.5 Signed-off-by: Owen Adirah <owenadira@gmail.com> * feat(mcp): add in-process scheduling stubs Assisted-by: Hephaestus:openai/gpt-5.5 Signed-off-by: Owen Adirah <owenadira@gmail.com> * feat(mcp): register scheduling tools Assisted-by: Hephaestus:openai/gpt-5.5 Signed-off-by: Owen Adirah <owenadira@gmail.com> * test(mcp): map scheduling tools to REST routes Assisted-by: Hephaestus:openai/gpt-5.5 Signed-off-by: Owen Adirah <owenadira@gmail.com> * docs(mcp): document scheduling assistant tools Assisted-by: Hephaestus:openai/gpt-5.5 Signed-off-by: Owen Adirah <owenadira@gmail.com> * fix(mcp): wire in-process scheduling Use an explicit MCP scheduling DTO and route in-process scheduling calls through the distributed node registry so the embedded assistant matches the REST scheduling surface. Assisted-by: Hephaestus:openai/gpt-5.5 Signed-off-by: Owen Adirah <owenadira@gmail.com> * fix(mcp): narrow scheduling dto Assisted-by: Hephaestus:openai/gpt-5.5 [opencode] Signed-off-by: Owen Adirah <owenadira@gmail.com> --------- Signed-off-by: Owen Adirah <owenadira@gmail.com> |
||
|
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> |
||
|
localai-org-maint-botandlocalai-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> |
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mudler's LocalAI [bot]andEttore Di Giacinto
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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> |
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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> |
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Adiraandlocalai-org-maint-bot
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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> |
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mudler's LocalAI [bot]andEttore Di Giacinto
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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 |
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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> |
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Tai Anandlocalai-org-maint-bot
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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>
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localai-org-maint-botandDaria Korenieva
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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> |
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Richard Palethorpeandlocalai-org-maint-bot
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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> |
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mudler's LocalAI [bot]andEttore Di Giacinto
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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> |
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mudler's LocalAI [bot]andEttore Di Giacinto
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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> |
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mudler's LocalAI [bot]andEttore Di Giacinto
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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>
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mudler's LocalAI [bot]andEttore Di Giacinto
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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>
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mudler's LocalAI [bot]andEttore Di Giacinto
|
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> |
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mudler's LocalAI [bot]andEttore Di Giacinto
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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> |
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mudler's LocalAI [bot]andEttore Di Giacinto
|
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> |
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mudler's LocalAI [bot]andEttore Di Giacinto
|
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> |
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mudler's LocalAI [bot]andEttore Di Giacinto
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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> |
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mudler's LocalAI [bot]andEttore Di Giacinto
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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 |
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mudler's LocalAI [bot]andEttore Di Giacinto
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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> |
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mudler's LocalAI [bot]andEttore Di Giacinto
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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
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