Add CachyLLaMA as a GGUF-compatible llama.cpp fork backend with CPU and Vulkan builds on Linux and Metal on Apple silicon. Expose it through model import, document persistent SSD cache options, and wire CI path filtering and dependency updates.
Assisted-by: Codex:gpt-5
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* sglang backend: pass through thinking_budget + require_reasoning
sglang's raw Engine.async_generate() API (which this backend calls
directly, bypassing sglang's own OpenAI server) supports a precise,
tokenizer-derived reasoning-length budget via
sampling_params["custom_params"]["thinking_budget"] plus
require_reasoning=True, gated behind --enable-strict-thinking. Neither
was reachable through LocalAI: this backend built sampling_params only
from a fixed field mapping (temperature, top_p, ...) with no custom_params
key, and never passed require_reasoning to async_generate at all.
- LoadModel now reads a model-level "thinking_budget" option (same
mechanism as the existing tool_parser/reasoning_parser options), and
_build_sampling_params adds it as custom_params.thinking_budget on
every request when configured.
- _new_reasoning_parser already derives, from the rendered prompt, whether
the model's chat template pre-opened a reasoning block (Qwen3-style
templates append <think> to the prompt instead of letting the model
emit it) -- the same signal sglang's own OpenAI server computes from
per-template config to decide require_reasoning. This backend has no
template manager, so it now returns that signal too and _predict
forwards it to async_generate(require_reasoning=...).
Verified against production (NVFP4, sm_121, Qwen3.6-35B-A3B) via a raw
Engine.async_generate() call bypassing this backend: 301 reasoning
tokens against a 300-token budget, clean completion, ~27s. Not yet
verified through this backend's own gRPC path end-to-end (no local
CUDA/sglang environment available here) -- existing + new unit tests in
test.py cover the pure-Python merge/passthrough logic only.
Scope note: require_reasoning is derived only from the existing
prompt-suffix heuristic, not sglang's full per-template
_get_reasoning_from_request decision tree (minimax-m3/hunyuan special
cases etc.) -- this backend has no template manager to evaluate that
tree against, and the prompt-suffix check is the one heuristic already
validated in this file (test_reasoning_parser_forced_when_template_prefills_think_tag).
Signed-off-by: pos-ei-don <1822533+pos-ei-don@users.noreply.github.com>
* sglang backend: honour a model-level reasoning_default
A model YAML can already carry "parameters: reasoning_effort:", but that
value only reaches this backend when a *caller* sets it per request (the Go
side turns it into Metadata["enable_thinking"]). As a model-level default it
is silently dropped: a config reading "reasoning_effort: none" still produces
full reasoning on every request, so the config says one thing and the model
does another.
That gap is expensive in practice. On a self-hosted Qwen3.6-35B-A3B the
reasoning phase consumed the entire max_tokens budget before any content was
produced - 90% of code completions came back empty at max_tokens=768, and the
server log filled with "backend produced only reasoning, retrying". The
config looked like reasoning was off the whole time.
This adds "reasoning_default:off" (or ":on") on the same model-level
options: mechanism as thinking_budget. A per-request value always wins; the
default only fills in when the request is silent.
Measured on the stack above (sglang 0.5.20, NVFP4, GB10/sm_121) after
applying it:
default (nothing set) -> 0 chars reasoning, 27 tokens
"reasoning_effort": "none" -> 0 chars reasoning, 27 tokens
metadata enable_thinking=true -> capped at the 512-token thinking_budget,
541 tokens total, finish_reason stop
Tests: three cases added to backend/python/sglang/test.py covering the
default, per-request override in both directions, and the unconfigured case
(which must leave the template untouched).
Signed-off-by: pos-ei-don <1822533+pos-ei-don@users.noreply.github.com>
* sglang backend: validate thinking_budget instead of crashing LoadModel
Addresses the review on this PR:
- `int(thinking_budget)` raised on values like "5000.0" or "abc" and took
LoadModel down. The option is now parsed by _parse_thinking_budget():
integral numbers in any spelling are accepted, anything else is ignored
with a warning on stderr.
- Zero and negative budgets are ignored with a warning instead of being
passed to sglang, where they have no defined meaning. Turning reasoning
off is what reasoning_default:off is for.
- A load-time warning when thinking_budget is set but enable_strict_thinking
is not in engine_args, since sglang then ignores the budget silently.
- Tests for integral spellings, unset, zero, negative, non-integer and the
strict-thinking warning.
Signed-off-by: pos-ei-don <1822533+pos-ei-don@users.noreply.github.com>
* docs(sglang): explain reasoning options
Document the reasoning budget, strict-thinking requirement, and
precedence of request metadata over the model-level default.
Also note that the budget has to stay well below max_tokens (otherwise
it never triggers and the reply can end up empty), and that
POST /models/reload or a backend-only restart does not pick up changed
options; LocalAI itself has to be restarted.
Assisted-by: Codex:GPT-6
Signed-off-by: pos-ei-don <1822533+pos-ei-don@users.noreply.github.com>
* docs(sglang): clarify configuration reloads
Distinguish rereading model configuration from updating a running backend. Keep the full LocalAI restart recommendation for changed reasoning options.
Assisted-by: Codex:GPT-6
* sglang backend: only pass require_reasoning when sglang supports it
Engine.async_generate() gained the require_reasoning keyword in sglang
0.5.13 and takes no **kwargs. The CPU profile builds v0.5.11 from source
and the other profiles only set a >=0.5.11 floor, so passing the keyword
unconditionally made every request fail with TypeError. Detect support
once at import time, as the file already does for sampling_seed.
enable_strict_thinking first appears in sglang 0.5.12; fix the comment.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-5-5 [Claude Code]
---------
Signed-off-by: pos-ei-don <1822533+pos-ei-don@users.noreply.github.com>
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: localai-org-maint-bot <localai-org-maint-bot@users.noreply.github.com>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
The quickstart compose file still requested phi-2, which is no longer in
the gallery. Use phi-2-chat instead and fix model preload error wrapping
so discover/install failures report the real error instead of %!w(<nil>).
Keep earlier model failures when discovery fails for another model.
Document the Compose gallery default.
Fixes#11974
Signed-off-by: lei_lei <imleilei123@gmail.com>
* fix(models): fallback to application config default context size (#12202)
Honor appConfig.ContextSize in /v1/models/capabilities when model context_size is unset.
* docs(models): explain context size fallback
Describe the application default used by capability discovery and
preserve the distinction between total context and per-request limits.
Assisted-by: Codex:GPT-6
* fix(models): apply the default context size only when context_size is unset
The request path applies the application default context size only
when a model leaves context_size unset. An explicit 0 or -1 falls
through to the backend fallback. The capabilities endpoint now does
the same, so it reports the value the backend uses.
Assisted-by: Claude:claude-opus-5-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
fix(router): re-seed the knn corpus index when the vector store comes back empty
The corpus manager records a store as synced by file fingerprint and
embedding fingerprint. The local-store backend behind it is an in-memory
gRPC process the model loader may evict (active-backend cap, memory
pressure) or the idle watchdog may kill, and relaunch on the next
request — empty. The file is unchanged, so EnsureLoaded returned early
and the router went blind: every probe fell back with similarity 0 while
corpus/stats kept reporting the full count.
Measured on a production router (LOCALAI_MAX_ACTIVE_BACKENDS=6, four
resident models + two router stores): loading any further backend
evicted a store, and the idle watchdog killed both after 15 minutes;
/stores/find returned 0 hits against a 100-line corpus file whose stored
vectors matched fresh embeddings with cosine 1.000.
Two parts, because the knn classifier is built once and cached
(GetOrBuildClassifier), so the sync at build time is otherwise the only
one for the process lifetime:
- corpus.Manager remembers one vector it inserted (probe) and, on the
synced path, asks the live index for it. A miss means the index was
relaunched — fall through and re-seed from the file (no re-embedding).
- The router middleware wraps the knn classifier's store so every
lookup runs EnsureLoaded first; the loader gets the raw store, so its
probe never re-enters the wrapper. A sync error fails the lookup
closed, like the build-time load.
Specs: corpus package (relaunched empty store is re-seeded under an
unchanged file), middleware (relaunched index behind the cached
classifier is re-seeded instead of falling back; the spec is red without
the wrapper). The test fake now answers Search for inserted vectors.
Folds in the maintainer's follow-up (router-corpus-reseed-after-store-relaunch): reviewed and accepted.
Assisted-by: Claude:claude-opus-5-5
Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de>
* feat: return 429 when backends are saturated
When backends are at capacity (per-model max_concurrent or the
process-wide --max-concurrent-backend-requests ceiling), the response
was 503. The OpenAI SDK, litellm, and most agent harnesses key on 429
for rate-limit backoff and treat 503 as a hard error.
Both saturation paths now return 429 with the existing Retry-After
header and type: "rate_limit_error" in the JSON body. The per-model
admission middleware keeps admission_rejected as the code field so
existing alerts that match on it still fire.
Non-saturation 503s are unchanged: model cold-loading (with progress
body), model-load failure cooldown, PII detector fail-closed, and
classifier unavailable. These mean "not ready" rather than "busy".
Assisted-by: AGENT:regolo/glm5.2 [TOOL]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix: return 503 when scheduler has no available nodes
When the scheduler cannot find any healthy node to serve a model —
all nodes are full and eviction cannot free a slot, or a node_selector
excludes every candidate — the error fell through to 500. A 500 tells
clients something is broken when the condition is transient and
retryable.
The router now wraps these errors with a new ErrNoAvailableNodes
sentinel. The HTTP error handler maps it to 503 via applyNoAvailableNodes,
following the same pattern as applyBackendAdmission (429). Unrelated
scheduler errors (DB timeouts, registry lookups) still return 500.
Three return sites are wrapped:
- resolveSelectorCandidates: selector matches zero healthy nodes
- scheduleNewModel eviction-busy: all models have in-flight requests
- scheduleNewModel eviction-failed: eviction itself errored
The existing scheduleAndLoad wrapper ("no available nodes: %w") preserves
the sentinel through the chain via errors.Is, as does ModelRouterAdapter.
Assisted-by: AGENT:regolo/glm5.2 [TOOL]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* test(http): use Ginkgo for admission tests
Replace forbidden testing.T calls with Ginkgo and Gomega so the lint
check accepts the admission handler tests.
Assisted-by: Codex:GPT-6 forbidigo
* fix(middleware): show the recorded status for admission rejections
The admission audit row now records 429, but the Middleware page still
printed a hard-coded 503. Read the status from the event, and update
the two package comments that still said 503.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-5-5 [Claude Code]
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
Hardcoding size/size_vram as 0 made Ollama clients treat loaded models as
free. Prefer ModelFileName+ModelPath Stat when available, and omit size_vram
(and size) when the value is unknown instead of emitting literal zeros.
Resolve each listed model by its stored ID so tagged variants use their
own weights.
Fixes#11969
Signed-off-by: lei_lei <imleilei123@gmail.com>
LocalAGI 7e0947d added allowed_tools/excluded_tools and the
required_tool_before_finish gate. Single-node agents get them through
LocalAGI's runtime, but the distributed executor drives cogito directly
and its static config meta did not list the fields, so the agent form
hid them and the worker ignored them.
The distributed config now parses the tool lists from a JSON array or a
comma/newline separated string, and the meta entries match LocalAGI's.
The executor filters the knowledge base, skill and MCP tools (MCP via
cogito.WithMCPToolFilter) before the model sees them, and re-prompts the
model when it answers before the required tool returned "ok": true, up
to the configured number of reminders.
LocalAGI keeps its filter and gate helpers unexported, so a minimal copy
lives in core/services/agents/toolpolicy.go. A spec compares the meta
entries with LocalAGI's to catch drift.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-5-5 [Claude Code]
Pick up the LocalAGI PRs merged after f2a2af4:
- per-collection embedding and reranker models, locked per collection
so one agent's upload or rerank no longer stalls the others (#499)
- required_tool_before_finish: a tool the agent must call successfully
before it may answer (#495)
- allowed_tools / excluded_tools per agent, applied to MCP tools too
(#480)
Document the new agent settings. They show up in the single-node agent
form, which reads LocalAGI's config metadata; distributed mode keeps its
own field list and does not offer them yet.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-5-5 [Claude Code]
* feat(gallery): publish signed OCI fallbacks
Publish both official gallery indexes with their local base configs so
an outage of the HTTP and GitHub sources can fall back to Quay.
Keep artifact signing policies separate from backend image policies,
and expose each moving gallery tag only after its digest is signed.
Assisted-by: Codex:gpt-6
* fix(gallery): confine packaged files to selected roots
Use directory-scoped file access to reject symlink escapes during gallery packaging. Create private bundle files for the publishing runner.
Assisted-by: Codex:GPT-6
---------
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
* feat(system): report per-model DRM VRAM
Expose optional resident device memory for local backend process trees.
Deduplicate DRM clients and omit unsupported or incomplete readings.
Document accounting limits and preserve a measured zero in JSON.
Closes#11970.
Assisted-by: Codex:gpt-6
* fix(system): document trusted procfs reads
Scope G304 annotations to paths built from the fixed procfs root,
integer process IDs, and kernel directory entries. These reads accept
no user-controlled path components.
Assisted-by: Codex:GPT-6 gosec
---------
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
Keep each message and reasoning item at its announced output index.
Include the answer in completed responses with reasoning or fallback
function calls, and retain reasoning supplied through backend deltas.
Add regression coverage for stream indices, final output, plain text,
and automatic tool parsing.
Assisted-by: Codex:GPT-6
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
Partial JSON parsing heals a name-only chunk into a tool call. The
stream emits that call with empty arguments and skips later chunks.
Require complete JSON before emitting terminal tool-call events.
Preserve complete calls before an unfinished trailing call, and count
only actual tool calls. Add split-chunk regression tests and docs.
Refs #11635. The non-streaming report remains unconfirmed.
Assisted-by: Codex:GPT-6
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
The legacy NVIDIA device reservation requests utility without compute.
Docker derives driver capabilities from that list, leaving CUDA libraries
unavailable even when monitoring works.
Include compute in the legacy example and clarify the matching docs.
Assisted-by: Codex:GPT-6
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
Older Go linkers stamp pure-Go hosts with SDK metadata that disables
modern Metal APIs. Select Go 1.27 for Darwin builds and document the
backend rebuild requirement.
Assisted-by: Codex:gpt-6
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
The link text still said chatbot-ui, but it now pointed at the examples
repository root. Link the configurations directory, which holds the
example model config files, and describe it as such.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-5-5 [Claude Code]
Add IQ4_XS and Q4_K_M GGUF builds with a BF16 vision projector.
Pin verified artifacts and document installation and variant selection.
Assisted-by: Codex:gpt-6
Add Q4_K_M and Q8_0 builds with the F16 vision projector and install docs.
Pin artifact revisions and verify SHA256 against HF LFS metadata and HTTP
headers.
Assisted-by: Codex:gpt-6
Add four text-only llama.cpp builds with pinned download URLs and
verified checksums. Document variant selection and the model license.
Assisted-by: Codex:gpt-6
Add Q4_K_M and Q8_0 builds with the F16 vision projector and pinned
artifact URLs. Document installation and explicit variant selection.
Assisted-by: Codex:GPT-6
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
* fix(gallery): remove invalid Qwen-Image chat entry
The entry sends diffusion weights to llama.cpp as a chat model.
Remove it and document the existing image-generation alternatives.
Assisted-by: Codex:gpt-6
* feat(gallery): add Hemmingway-1 GGUF variants
Add Q4_K_M and Q8_0 builds for llama.cpp with embedded chat templates.
Record the upstream CC BY-NC 4.0 license and installation instructions.
Verify both SHA256 values against Hugging Face LFS metadata and headers.
Assisted-by: Codex:gpt-6
---------
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
* feat(gallery): read metadata for system-path backends, enabling variant aliases
Problem:
- ListSystemBackends only read metadata.json for user-managed backends;
the system-path scan (LOCALAI_BACKENDS_SYSTEM_PATH) was a bare
directory walk with Metadata hardcoded nil
- system-packaged backends (distro packages installing several
accelerator builds of one backend) could not declare aliases or meta
indirection at all, while gallery-installed backends could
- surfaced while packaging LocalAI for Gentoo: the packages install
cpu-/rocm-/vulkan-audio-cpp as system backends aliased to audio-cpp,
which the server ignored
Change:
- scan each root separately, clean the system collection against the
user-managed one, merge, then build and resolve — precedence lives in
one explicit step
- alias candidates carry their own metadata: the resolved alias entry
can never pair one installation's executable with another's metadata,
and it reports the chosen candidate's origin (IsSystem)
- deterministic resolution: entries build in sorted name order and
candidates sort by name at the resolution site, independent of scan
order
Precedence (user-managed always wins):
- a user-managed backend hides a same-named system backend entirely
- a user-managed variant takes over its whole alias family: the alias
resolves among user-managed variants only and the system family's
concrete names disappear — family versions move together, and a stale
system variant may not work with newer models, so it must not stay
reachable
- a system variant's alias never hijacks a name that exists as a
user-managed backend
Tests: Ginkgo regressions for system-path aliasing, same-name hiding,
family takeover, and the full metadata permutation matrix of
cross-root name collisions (both directions, with and without
metadata on each side).
Docs: new "Backend Directory Format" section (run.sh, metadata.json,
alias resolution — previously undocumented for user-managed backends
too) and "System-Provided Backends" with the precedence rules.
Assisted-by: Claude:claude-fable-5
Signed-off-by: Plamen K. Kosseff <p.kosseff@gmail.com>
* fix(gallery): preserve managed meta backends
A system alias can replace a user-managed meta backend during discovery.
Protect meta entries with the same precedence guard as concrete backends.
Add a regression test and clarify the documented precedence.
Assisted-by: Codex:GPT-6
Signed-off-by: Plamen K. Kosseff <p.kosseff@gmail.com>
---------
Signed-off-by: Plamen K. Kosseff <p.kosseff@gmail.com>
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
* fix(gallery): verification follow-ups for oci:// galleries
Follow-ups from the post-merge review of #12238 and #12239.
Only a policy decision is a refusal now. cosignverify wraps
ErrPolicyRejected around a failed signature check, an identity or
source-repository mismatch, a not_before cutoff and a missing or
unparseable bundle. A TUF, registry or network failure during
verification, or a timeout, is an outage: the gallery falls back to the
copy verified under the current policy, as it does when the registry is
down.
An oci:// gallery with a verification block, or any oci:// gallery under
strict integrity, is no longer answered by an https://, github: or
file:// mirror. Such a mirror is ignored with a warning, because nothing
can check its signature. The index of an HTTP gallery, whose policy only
covers its backend images, is cached under the URL-only name again, so no
unchecked body is stored under a policy-keyed name.
The in-memory index cache key now includes the policy. After a runtime
policy change the index is fetched again, and entries with a relative url
install again.
The registry digest lookups after install and upgrade, and in the
upgrade check, run only for real registry references (new
URI.LooksLikeRegistryOCI), not for ollama:// or ocifile://.
The refusal message names strict integrity when that is the cause, and
the gallery name is no longer repeated.
Specs pin the URL-only cache name for galleries without a policy, a fixed
key for a fixed policy, and that every GalleryVerification field changes
the key. The docs describe refusal, outage, mirrors and strict integrity.
Assisted-by: Claude:claude-opus-5-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix(gallery): reset listings on gallery changes, classify referrer outages
Review follow-ups for this PR.
The React UI lists from AvailableGalleryModelsCached, which is keyed by
nothing. A gallery change through the settings API or a
runtime_settings.json edit now drops that listing when the model or
backend gallery configuration differs. Before, the UI kept the old list,
with local paths into the old policy's tree, until the next background
refresh, or for good when the new policy refused the gallery.
In cosignverify, a referrer the registry fails to serve now makes the
lookup an outage whatever other referrers failed and in any order, since
the unread one may be the valid signature. An invalid policy (Validate in
NewVerifier, an unparseable not_before) is ErrPolicyRejected, because no
fetch can make it usable.
The docs say that only an oci:// gallery with a verification block skips
non-OCI mirrors, and list an unusable policy as a refusal.
Assisted-by: Claude:claude-opus-5-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
The unpacked oci:// gallery cache and the last known good copy of the
index were keyed on the gallery URL only. After an operator tightened a
gallery's verification policy (added source_repository, moved not_before
forward), content verified under the older policy, or under none, was
still served for up to an hour from the unpacked cache, and indefinitely
from the last known good copy while fetches failed. A fetch refused by
signature verification also fell back to that last known good copy, so
a refusal became a silent downgrade. Turning strict integrity on did not
stop an unverified cached copy from being served either.
Name both caches by the URL plus a stable hash of the policy. A gallery
without a policy keeps its old URL-only name, so existing caches stay
usable. A fetch refused by the policy, or by strict integrity, is now
reported and never answered with a cached copy; a network failure still
falls back, but only to a copy verified under the current policy. The
strict integrity check runs before the cache is read.
Assisted-by: Claude:claude-opus-5-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
The gallery agent started adding documentation sections for individual
models (NeoHorse, Maple-Preview, Hy-MT2, Instella-MoE, Spark-X2.5,
Occamy, etc.) to the model-gallery page. This clutters the general
gallery documentation with model-specific install instructions and
descriptions that belong in the gallery index or model cards, not in
the feature docs.
Remove all per-model sections. The page now covers only the gallery
infrastructure: how galleries work, how to add them, the API, variants,
and the stable-diffusion/whisper examples that were already there.
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
* feat(vllm-cpp): add GLiNER2.5 NER via TokenClassify
Wire the vllm-cpp backend to the C ABI NER surface (vllm_gliner_ner,
ABI v27) so LocalAI can serve zero-shot named entity recognition through
the existing TokenClassify gRPC method.
backend.go: TokenClassify method on *VllmCpp calls vllm_gliner_ner with
the text and labels, copies the C-owned entity array into protobuf
TokenClassifyEntity messages, and frees the result.
govllmcpp.go: cNerEntity and cNerResult Go POD mirrors matching the C
structs; vllmGlinerNer and vllmNerResultFree purego bindings; abiVersion
bumped 26 -> 27.
options.go: ner_labels, ner_threshold, ner_max_width parsed from
engine_args.
pkg/grpc: ClassifyModel interface and TokenClassify server handler
(follows the Embedding locking pattern).
core/config: vllm-cpp backend declares MethodTokenClassify and
UsecaseTokenClassify.
docs/content/features/vllm-cpp.md: NER section documenting the
engine_args keys and the host-forward contract.
Assisted-by: MAKI:regolo/glm5.2 [maki]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix(vllm-cpp): correct NER pointer lint directive
Use the govet directive for the C-owned NER array, matching the other
purego pointer conversions. The array remains valid until its deferred
free; the misspelled directive caused CI to flag this conversion.
Assisted-by: Codex:gpt-6 golangci-lint
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(vllm-cpp): add kev-compatible SystemOne API endpoints
Add POST /v1/systemone, /v1/systemone/permute, and
/v1/systemone/separate to LocalAI, mirroring the kev project's
structured-extraction API. Each endpoint runs zero-shot NER over the
rendered state text and builds kev-compatible answers for three question
types: noul (binary entity presence), choice (pick one option), and
score (pick one level).
The TokenClassifyRequest proto gains a `repeated string labels` field so
each question can supply its own labels at inference time, and
TokenClassifier gains TokenClassifyWithLabels for per-call label
selection. The vllm-cpp backend uses request labels when non-empty,
falling back to configured ner_labels then the built-in defaults.
Helpers (renderState, softmax, choiceConfidence, scoreConfidence, r2)
are ported from kev/api.py and mirrored in vllm.cpp's api_server.cpp so
both servers produce the same answer shape.
Following-Agents-Protocol: true
AI-Assisted: true
Assisted-by: AGENT:regolo/glm5.2 [maki]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix(vllm-cpp): suppress gosec G404 on seeded permutation RNG
The SystemOne permute endpoint uses math/rand with a caller-supplied
seed for reproducible option permutations, matching kev's random.seed.
gosec flags this as G404 (weak RNG). Add #nosec with a comment naming
the intent: this is reproducibility, not cryptography.
Following-Agents-Protocol: true
AI-Assisted: true
Assisted-by: AGENT:regolo/glm5.2 [maki]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* chore(vllm-cpp): bump vllm.cpp pin to GLiNER2.5 merge commit
Advance VLLM_CPP_VERSION from f3cd97e to 5058268d, the commit that
landed GLiNER2.5 zero-shot NER support (PR #3224) in vllm.cpp. This
brings the DeBERTa v2 encoder, GLiNER2 boundary head, C ABI NER
functions, and server endpoints into the LocalAI vllm-cpp backend.
The ABI version (27) and Go struct mirrors already match.
Following-Agents-Protocol: true
AI-Assisted: true
Assisted-by: AGENT:regolo/glm5.2 [maki]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix(vllm-cpp): use instruction text as NER label in SystemOne handler
The SystemOne handler was passing question IDs as NER labels for noul
questions and bare key names for choice questions, so the model never
matched any entities. Port the label mapping from vllm.cpp's
ParseSystemOneBody:
- noul: use the rendered instructions field (with instr alias) as the
NER label, not the question ID
- choice: use optionText(name, desc) — "name: description" or "name"
when the description is null/empty — not the bare key
- score: already correct (rendered criteria text)
- permute: shuffle indices and build parallel key/label arrays so the
NER call uses the optionText labels while the response is keyed by
the original option names
Also add the instructions field to the SystemOneQuestion schema struct
(accepted alongside the instr backward-compat alias).
Verified end-to-end against the real GLiNER2.5 model: noul questions
now find "Apple Inc. is" (organization, 0.999) and "Tim Cook is"
(person, 0.852) where they previously returned zero entities.
Following-Agents-Protocol: true
AI-Assisted: true
Assisted-by: AGENT:regolo/glm5.2 [maki]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
* chore(model gallery): 🤖 add new models via gallery agent
Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* feat(gallery): add NeoHorse-1-9B GGUF variants
Add the official Q4_K_M, Q5_K_M, and Q8_0 builds with revision-pinned
weights and verified SHA256 values.
Assisted-by: Codex:gpt-6
* chore(model gallery): 🤖 add new models via gallery agent
Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* feat(gallery): add Qwen3.8 35B Distill variants
Add Q4_K_M, Q5_K_M, and Q8_0 builds with the vision projector.
Pin publisher revisions and document installation and variant selection.
Assisted-by: Codex:gpt-6
* feat(gallery): add ByteShape Qwen3.8 variants
Offer five ShapeLearn GGUF builds with a vision projector and MTP.
Pin downloads to a verified HF revision and document variant selection.
Assisted-by: Codex:gpt-6
* feat(gallery): add Flash Next GSQ-RCO variants
Offer Q2_0, IQ2_XS, and IQ3_XXS builds with both model shards and the
vision projector. Pin and verify download hashes and document how to
select each variant.
Assisted-by: Codex:GPT-6
* feat(gallery): add Occamy-1.0 GGUF variants
Add the publisher's Q4_K_M and Q8_0 builds with the F16 vision projector.
Link the builds as variants and pin downloads to a verified revision.
Document installation and the source tokenizer's NFC requirement.
Assisted-by: Codex:gpt-6
* fix(gallery): set MiniCPM5 context at the top level
The Q4 and Q8 overrides place context_size inside parameters, where
PredictionOptions ignores it. Move it beside parameters so both
builds use the intended 8,192-token context, matching F16.
Assisted-by: Codex:GPT-6
* feat(gallery): add Hy-MT2 7B GGUF variants
Offer the official Q4_K_M, Q6_K, and Q8_0 builds for translation.
Pin the downloads and document installation and translation prompts.
Assisted-by: Codex:gpt-6
* feat(gallery): add Maple-Preview GGUF variants
Offer four ternary builds through the existing llama.cpp backend.
Use the publisher's CPU settings and embedded chat template.
Pin downloads and verify SHA256 values against two HF metadata sources.
Document installation and explicit variant selection.
Assisted-by: Codex:gpt-6
* feat(gallery): add Qwen3.8 Cyber GGUF variants
Offer IQ4_XS and Q8_0 builds with the matching BF16 vision projector.
Pin download revisions and document automatic and explicit selection.
Assisted-by: Codex:GPT-6
* feat(gallery): add official NeoHorse 4B variants
Offer the official Q5_K_M and BF16 GGUF builds alongside the existing
community quantizations. Pin both downloads and document variant selection.
Assisted-by: Codex:gpt-6
* chore(model gallery): 🤖 add new models via gallery agent
Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* chore(model gallery): 🤖 add new models via gallery agent
Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
---------
Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
The ROCm/hipblas image does not set HSA_OVERRIDE_GFX_VERSION,
ROCBLAS_USE_HIPBLASLT, HSA_XNACK, or HSA_ENABLE_SDMA. Remove the
misleading parenthetical so readers know to pass them explicitly.
Fixes#12071
Assisted-by: Cursor:Composer
Signed-off-by: lei_lei <imleilei123@gmail.com>
Co-authored-by: mudler-agent <mudler-bot@c3os.io>
Models whose options carry no explicit backend: open their session on the
CPU backend even in accelerator images. The gallery entries carry
backend:best since #11892; this covers hand-written model configurations
the same way, per deployment: the environment variable supplies the
fallback, an explicit backend: option always wins (merged beside the
existing threads and maingpu fallbacks), and validation reuses the
option parser.
Assisted-by: Claude:claude-fable-5
Signed-off-by: Plamen K. Kosseff <p.kosseff@gmail.com>
feat(kimodocpp): add API and backend request observability
Capture animation requests, phase timings, output metadata, and failures in traces. Record correct API error statuses and cover completed, running, failed, and disabled tracing.
Assisted-by: Codex:GPT-6
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* fix(stablediffusion-ggml): bump sd.cpp for Qwen-Image 2.1, fix RPC build
Bump stable-diffusion.cpp to c678dfe70, which adds Qwen-Image 2.1
support (leejet/stable-diffusion.cpp#1994).
The same range pulls a ggml update that adds GGML_OP_SAGE_ATTN but
does not update the GGML_OP_COUNT static_assert in ggml-rpc.h. We build
with SD_RPC=ON and upstream CI does not, so every backend image failed
to compile (see #12170).
Add a sync-rpc-op-count step after checkout. It sets the ggml-rpc.h
assert to the count that ggml.c asserts. The new op is appended before
GGML_OP_COUNT, so existing op ids on the wire do not change, and the
RPC handshake compares only major and minor versions. When upstream
fixes the header, the step does nothing, so future automated bumps
stay green.
Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(gallery): add Qwen-Image 2.1 GGUF for stablediffusion-ggml
Add qwen-image-2.1-q4_k-ggml, with qwen-image-2.1-q8_0-ggml as a
variant, from leejet/Qwen-Image-2.1-GGUF. The config follows the
upstream stable-diffusion.cpp recipe: Qwen3-VL-8B-Instruct text
encoder, the Qwen-Image 2.1 VAE, cfg scale 6, euler sampler.
The bundle also pulls the Qwen3-VL mmproj as llm_vision_path, so that
image editing with reference images works. The text encoder and mmproj
use the same filenames and checksums as the qwen3-vl-8b-instruct
entry, so both entries share the files on disk.
Assisted-by: Claude:claude-opus-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
Track successful header authentication before allowing cross-site requests
to bypass CSRF checks. Arbitrary headers on unauthenticated servers and
cookie-authenticated requests no longer grant an exemption.
Share the production CSRF middleware with multipart tests, add regression
coverage for credential sources, and document the exemption behavior.
Assisted-by: Codex:gpt-6 golangci-lint
Signed-off-by: Richard Palethorpe <io@richiejp.com>
On a single-node install nothing in Operate listed the models loaded on
this machine or let an admin stop one. The System page that did was
retired in #11548, and its replacements (the Nodes workbench) only work
in distributed mode. The Nodes page also mis-detected single-node mode:
the cluster routes are not registered there, so /api/nodes answers 404,
but only 503 was treated as "distributed off", which sent every
single-node install to the empty worker-registration card. The rail hid
the entry anyway.
Nodes route on a single node becomes "This machine":
- the Nodes page's VRAM / RAM / CPU / models-disk gauges, fed from this
host by mapping /api/resources onto the worker heartbeat fields
- a memory bar splitting host RAM by running model
- a running-models table (backend, RSS, CPU share, uptime, PID) with
search, sorting, logs and a confirmed Stop
- the distributed setup behind an "Add machines" button
The Operate overview gains a "Running now" preview (heaviest five, with
Stop) on single node and a pointer to Nodes > Running models on a
cluster. The rail shows "This machine" in Runtime with a running count.
Backend, additive only:
- /system: each loaded model carries a `process` block (pid, rss_bytes,
memory_percent, cpu_percent, started_at). A sampler keeps one gopsutil
handle per PID so CPU is the share since the previous poll rather than
the lifetime average; it is omitted on the first reading.
- /api/resources: host `cpu` and models-path `disk`, the same readings
workers send in their heartbeat.
Also fixes the fleet tables widening the page on phones: the headers'
absolutely positioned sr-only labels escaped the scroll wrapper.
Assisted-by: Claude:claude-opus-5 [Playwright]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
* feat(oci): pull ORAS artifacts into a directory
Galleries published to an OCI registry arrive as an ORAS artifact whose
layers carry their tree path in org.opencontainers.image.title. Nothing in
pkg/oci could read a non-image manifest, so add PullArtifact: it lays the
layers out under a destination directory and returns the manifest digest so
callers can pin and verify signatures on it.
A registry is remote input and this writes files, so the manifest is
validated before any byte is fetched. A title that is absolute, escapes the
destination or is missing is refused, an artifact of an unexpected
artifactType is refused, and both the layer count and the total size are
capped with caller-settable limits.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-5 [Claude Code]
* feat(gallery): fetch and verify galleries published as OCI artifacts
A gallery whose URL is oci://host/repo:tag is now pulled as an ORAS
artifact and its index.yaml read from the unpacked tree, alongside the
existing HTTP and file sources. Mirrors, the per-candidate timeout, the
failure cooldown and the last known good copy work the same for both
schemes, so a gallery can mirror an OCI primary with an HTTP fallback.
When the gallery declares a verification policy the artifact reference is
resolved to its manifest digest, the publisher signature is checked
against that digest, and only then is the same digest pulled. Nothing
unverified is written to disk or parsed. With strict integrity mode on,
an OCI gallery without a verification policy is refused instead of
warned about, which is what the flag already does for backend installs.
The pull lands in a staging directory that is renamed into the cache only
once the whole tree is on disk and the index reads back as an index, so a
failed or interrupted pull leaves nothing a later fetch would serve. A
fetch that finds a fresh cache entry does not contact the registry.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-5 [Claude Code]
* feat(gallery): resolve entry urls relative to the gallery root
A gallery published as a self-contained tree, which is what an OCI
gallery is, names its base configs by their place in that tree. Such a
url reached the HTTP client verbatim and no entry of the gallery could
be installed.
A scheme-less entry url now resolves against the root the index came
from: the unpacked artifact for an oci:// gallery, and the directory of
the index URL otherwise. The relative path may not climb out of that
root, reusing the guard the artifact puller already applies to layer
titles, and an entry that does is dropped from the listing rather than
failing the whole gallery. An entry that names its own scheme is
untouched, so .ref indirection and local github: resolution behave as
before.
Reading an entry of an OCI gallery also needs the unpacked artifact
directory as its trusted root, since the cache is deliberately a sibling
of the models directory the downloader otherwise confines a file read
to.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-5 [Claude Code]
* fix(oci): restrict artifact file permissions
Create artifact files with owner-only permissions to satisfy G302.
Document the existing path validation for the G304 scanner finding.
Check the permissions of downloaded layers in the artifact test.
Assisted-by: Codex:gpt-6 gosec
* fix(oci): confine artifact writes to their root
Use root-relative filesystem operations to reject escapes through existing
directory symlinks. Retain owner-only permissions and add a symlink escape
regression test, without suppressing the path traversal finding.
Assisted-by: Codex:gpt-6
---------
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>
Report input tokens and frame-step output units in response metadata and
record them through the existing usage accounting pipeline. Preserve the
accounting rule and model-specific dimensions as JSON without extending
the gRPC schema for each modality.
Expose animation usage only under metadata.usage, validate counts before
recording, and document the response contract and loaded-model location.
Add coverage for transport, defaults, failures, persistence, and recording
requests once with statistics enabled or disabled.
Assisted-by: Codex:GPT-6
Signed-off-by: Richard Palethorpe <io@richiejp.com>
Use a regular (non-editable) pip/uv install so the package lands in the
venv site-packages. An editable finder records the builder source path,
which breaks after the backend is copied out of the image (#9162).
Adds a regression test (scripts/build/vllm-omni-install_test.sh) that
verifies imports survive relocation with a regular install and fail with
an editable install.
Supersedes #12040 (DCO not signed by contributor).
Assisted-by: MAKI:regolo/glm5.2
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
