632 Commits

Author	SHA1	Message	Date
Ettore Di Giacinto	f88444f8e3	feat(backend): add buun-llama-cpp fork (DFlash + TCQ KV-cache) ... spiritbuun/buun-llama-cpp is a fork of TheTom/llama-cpp-turboquant that adds two independent features on top: DFlash block-diffusion speculative decoding (via a dedicated DFlashDraftModel GGUF arch) and two extra TCQ KV-cache variants (turbo2_tcq, turbo3_tcq) on top of TurboQuant's turbo2/turbo3/turbo4. Follows the turboquant thin-wrapper pattern — reuses backend/cpp/llama-cpp grpc-server sources verbatim, patches only the build copy to extend the KV allow-list and wire up buun-exclusive tree_budget / draft_topk options. DraftModel is already wired end-to-end (proto field 39 → params.speculative), so DFlash activation only needs the existing options passthrough (spec_type:dflash) plus the drafter path in draft_model. CacheTypeOptions now surfaces the five turbo* values so the React UI dropdown shows them — benefits turboquant too (previously users had to type them in YAML manually). Assisted-by: Claude:Opus-4.7 [Read] [Edit] [Bash] [WebFetch] Signed-off-by: Ettore Di Giacinto <mudler@localai.io>	2026-07-30 11:04:29 +00:00
localai-org-maint-bot	1189c6825b	feat(tracing): persist bounded trace histories (#11203) ... * feat(tracing): persist bounded trace histories Retain API and backend traces below the data path, restore them at initialization, and serialize clears with asynchronous consumers. Assisted-by: Codex:gpt-5 * fix(tracing): satisfy persistence security checks Document why persisted filenames cannot escape the trace directory and explicitly ignore the best-effort temporary-file cleanup result. Assisted-by: Codex:gpt-5 [golangci-lint] --------- Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>	2026-07-30 12:20:01 +02:00
mudler's LocalAI [bot]	47097041ff	fix(vllm): apply Options[] engine flags before engine init (#11147) ... fix(vllm): apply Options[] engine flags before engine init (#11130) CLI-style flags in a model's `options:` array (`--quantization:gptq_marlin`, `--enable-prefix-caching`, `--kv-cache-dtype:fp8_e5m2`) were discarded: the backend only ever read `tool_parser`/`reasoning_parser` out of Options[], and did so *after* `AsyncLLMEngine.from_engine_args()`, where nothing it set could still reach the engine. Map `--` prefixed options onto the AsyncEngineArgs dataclass before the engine is constructed. Names are normalized the way vLLM's CLI spells them (`--enable-prefix-caching` -> `enable_prefix_caching`), values are coerced to the target field's type (bare flag -> True for booleans), and unknown or uncoercible flags warn and are skipped instead of failing the load, since Options[] is a bag shared with backend-level settings. Field types come from the annotation's base so `Literal["auto", "float16"]` (vLLM's dtype) is not mistaken for a float. Precedence is typed proto fields -> `options:` -> `engine_args:`. The production engine_args defaults seeded in hooks_vllm.go therefore skip any key the user already set as an option, otherwise the later engine_args pass would silently override it. Parser lookups now accept both spellings, so `--reasoning-parser:qwen3` selects LocalAI's parser as well. The helper's tests are stdlib-only and run in the lint workflow's dependency-light job via `make test-python-helpers`. Assisted-by: Claude:claude-opus-5 golangci-lint Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: localai-org-maint-bot <bot-opensource@localaisrl.com>	2026-07-30 12:13:00 +02:00
mudler's LocalAI [bot]	9c85cacfe3	feat(audio-cpp): add the audio.cpp native backend (#11141) ... * backend(audio-cpp): add the native build scaffold Links 0xShug0/audio.cpp engine_runtime through its public framework headers and serves Health/Status. Model loading and the audio RPCs follow. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): keep the build-tree rpath at $ORIGIN Upstream sets CMAKE_BUILD_WITH_INSTALL_RPATH in its own directory scope, so CMake was appending its build-tree library dir to our target and baking an absolute build-host path into the shipped binary. Set BUILD_WITH_INSTALL_RPATH on the target so a package that forgets to bundle libggml*.so fails on the build machine too, instead of only on a user's box. Also document why EXCLUDE_FROM_ALL must stay on the add_subdirectory call, correct the claim that Ubuntu ships no gRPC CMake config, stop the pin comment from repeating the assignment token that bump_deps.sh rewrites, and make test-engine fail rather than pass when no test is registered. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): parse namespaced model options Splits option entries on the first colon so path values survive, and routes load./session. prefixes to the upstream load and session option maps. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): reject out-of-range numeric model options std::atoi is undefined once the digits exceed long and in practice wraps, so device:2147483648 was accepted and handed the ggml backend selector a device index of -2147483648 from a function whose error text promises a non-negative integer. Parse with strtol and reject on ERANGE, on a value above INT_MAX, and on any unconsumed trailing input. The error strings are unchanged. Name the whole entry in the unknown-key error too: an entry like ':value' has an empty key and left the user nothing to grep for in their YAML. Tests look keys up through a helper instead of map::at, so a prefix off-by-one fails one named check rather than aborting the binary and skipping the rest of the suite, and cover the overflow, negative and non-numeric paths. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): route LocalAI RPCs onto audio.cpp tasks Task-major resolution over the family's advertised capability set, with the voice-reference and instructions signals selecting cloning and voice design, and a streaming-to-offline fallback for server-streaming transcription only. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): use upstream's 'spk' task name and pin the preference order The SpeakerRecognition short name was 'spkrec', which audio.cpp neither prints nor parses; a name copied out of audio.cpp was rejected and a pinned 'spkrec' would not survive the engine boundary. Emit 'spk', keep 'spkrec' as an input-only alias, and correct the known-tasks lists. Three assertions were vacuous because their fixtures advertised a single task, so reversing a preference order or dropping the RPC name and the attempted pairs from the capability error all passed. Give them fixtures that can tell the orderings apart. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): convert sample, time and PCM units Integer nanosecond conversion so 44.1 kHz stays exact, float seconds for the VAD and diarization messages, and saturating s16le encode so an overshooting sample cannot wrap to the opposite sign. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): harden seconds_to_samples against NaN and overflow seconds_to_samples is the one entry point fed by untrusted-shaped input: a float-seconds timestamp off the wire, or a boundary from a model that diverged. Its guard covered only the low side, so NaN and out-of-range values fell through to an undefined double-to-int64 cast and came back as INT64_MIN. A hugely negative sample index used later as an offset or a length is a wild pointer rather than merely a wrong timestamp. Reject NaN with the !(x > 0) form and saturate before the cast. Also round instead of truncating there. These functions exist to cross the float seconds boundary the VAD and diarize messages use, and truncation lost a sample about half the time on the samples-to-seconds-and-back round trip, starting at n=1. Pin the decode scale at INT16_MIN, pin nanosecond truncation on a nonzero fraction, and record why the clamp argument order in f32_to_s16le is load-bearing for NaN. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): map NaN PCM samples to silence explicitly f32_to_s16le relied on std::min argument order to keep a NaN sample away from std::lround, whose result is unspecified for NaN. That was too subtle to rest on a comment, and the comment was itself wrong: it warned against a spelling that the outer std::max already catches, while three real spellings leak, including std::clamp, which is the idiomatic C++17 way to write the same clamp and so the likeliest future edit. Divert NaN before the clamp and encode it as 0. A NaN sample rendered as a full-scale click is worse audio than a dropped one, and this unit converts audio that may have originated off the wire. Pin it with an exact-value check rather than a range check, since all three outcomes the plausible spellings produce are finite and inside full scale, plus an invalid-operation check that fails unless the NaN is diverted before any ordered comparison. That second check is what catches modernizing the clamp and dropping the guard together. Also bound the seconds round-trip comment, which claimed unconditionally what holds only below roughly 2^23 samples, and document NaN, saturation and that bound in the header. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): assemble transcripts from runtime spans The top-level transcript text is TaskResult.text_output verbatim. audio.cpp carries text nowhere else: speech_segments, speaker_turns and word_timestamps hold spans and labels only, so deriving the text from them empties the transcript for any producer that omits word timing, VibeVoice diarized ASR included. Fixtures cover every observed producer shape. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): keep a nested speaker turn's own label A segment sourced from speaker_turns re-derived its speaker by greatest overlap. A turn's overlap with its own span is the largest possible, so a turn nested inside another speaker's turn could only tie with the container, and the tie went to whichever came first. sortformer_diar binarizes each speaker independently and sorts by start sample, so the container always comes first and the interjecting speaker was silently erased from DiarizeSegment.speaker. choose_segment_spans now carries the label out with the span. Also pins the nearest-segment fallback against measuring from either endpoint or from segment position, which a trailing-only stray word could not do, and exercises the empty-word guard in join_words. Two fixtures that pin a rule but do not mirror any pinned family are relabelled defensive. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): serialize runs with a wedge-aware guard audio.cpp sessions are not reentrant and a wedged CUDA call cannot be cancelled, so a plain mutex would pile every worker thread behind a stuck GPU. Callers waiting past the configured bound, or arriving while the holder has already overrun it, fail fast instead. A caller that queues behind a healthy run deliberately does not stamp the clock: only the thread that takes the lock does. Stamping on arrival would restart the wedge clock on every request and hide a stuck run from everyone behind it, which is the pile-up this guard exists to prevent. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): serialize inference through an InferenceLane One audio.cpp model is loaded per backend process and its sessions are not reentrant, so concurrent gRPC handlers have to take turns. Serialization alone is not enough: a wedged GPU call cannot be cancelled from userspace, so an unbounded queue behind one stuck run would swallow every gRPC worker thread until the process is useless. InferenceLane gives handlers a lane with room for one runner. LaneEntry occupies it for a scope and gives it back on every exit, including an exception, and is the only way to take the lane at all: occupy/vacate are private with LaneEntry as the sole friend, so a caller cannot acquire without holding something that releases. LaneEntry is immovable on purpose, because a moved-from entry would have to stop releasing while the lane still recorded it as occupied. A caller either waits indefinitely or brings a millisecond budget. A bounded caller that cannot get in fails instead of waiting on, and a bounded caller whose budget is already shorter than the age of the run in the lane fails immediately, which is what stops a queue forming behind a wedged run. The two failures carry different text: one names the wait it exhausted, the other states the measured age of the run without claiming to know why it is long, since a short budget meeting a legitimately long run lands there too. The run's age is stamped only after acquisition. A waiter that published itself as holder would restart the measurement and hide a genuinely stuck holder from every caller behind it. Budget negotiation and the overrun decision are pure functions taking their inputs explicitly, so both are covered without threads or sleeping. The per-model ceiling arrives as an int of milliseconds; a request may tighten it and may never loosen it. Replaces the previous run_guard unit, which was a derivative of an Apache-2.0 file upstream and could not stay in an MIT tree. Written from a behaviour contract with no reference to the removed code. Tests: 65 checks, standard library only, single translation unit, clean under -Wall -Wextra. Mutation tested at 23/23 killed; two of those mutants exposed missing coverage and the tests were extended until they died. ThreadSanitizer clean. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): make the B10 test able to fail, and document LaneEntry Review of the previous commit found the B10 test could not fail for the reason it was named. It aged the in-flight run to about 120 ms and then tried two budgets, 30 ms and 60 ms, both under that age, so both callers took the fail-fast path. "The two failure modes do not share one message" was comparing two fail-fast messages that differ only in the budget they print, and the timeout path was never reached. The second budget is now 400 ms, well over the run's age, so that caller queues and times out, and a new check asserts which path each caller took instead of inferring it from inequality. A mutant that makes the fail-fast path emit the timeout message previously died only on B4 and B8 checks; it now also dies on B10. Comment-only changes elsewhere. LaneEntry now says it is not reentrant and does not detect reentrancy: a second entry on a thread that already holds the lane surfaces as LaneUnavailable with a positive budget, but parks silently in unbounded mode, which matters because a handler may hold one across a whole stream. The immovability note now names the shapes that work, an optional emplaced in place or a unique_ptr, rather than saying to hold the entry indirectly without saying how; all three documented forms were compiled before being written down, which is how the note came to say that an optional of an immovable type cannot itself be returned. The header's explanation of why fail-fast exists is reworded. Two clauses traced back to a specification written after reading the Apache-2.0 upstream header, and while that was judged de minimis, this unit was rewritten precisely to carry no upstream expression at all. The margin table in the report was also wrong about which wall-clock margins are load-sensitive: there are four, not one, and the tightest is the B3 arrival check, which is now flagged at the call site. No margin value changed and none moved across 65 runs. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): gate model loading on the audio.cpp family Refuses any GGUF without an audiocpp.model_spec.family key and any non-GGUF path without an explicit family option, so the model loader's greedy backend probe cannot bind an unrelated llama.cpp GGUF to this backend (#9287). Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): load models and cache sessions per task Loads one ILoadedVoiceModel and creates an IVoiceTaskSession lazily per (task, mode), so the same model serves both the unary and streaming RPCs. LoadModel derives the family from GGUF metadata or an explicit option and fails with INVALID_ARGUMENT otherwise, so a failed load is a gRPC error the backend probe can see. audiocpp_backend::Task mirrors engine::runtime::VoiceTaskKind positionally, and drift there is silent: every unit still compiles and every test still passes while the backend runs a different task. Two mechanisms pin it. The static_asserts in loaded_model.cpp catch an insertion or a reorder, and -Werror=switch on that one file turns an appended upstream enumerator into a build failure rather than a warning in a 600 file log. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): stop aborting the process on SIGTERM The signal handler called grpc::Server::Shutdown directly. Shutdown takes an absl::Mutex, which is not async-signal-safe: the handler can interrupt a thread already holding that mutex, and abseil's deadlock detector responds by aborting. Every SIGTERM therefore ended in exit 134 and a 'dying due to potential deadlock' stack rather than a drained shutdown. The handler now sets a lock-free atomic and returns. Server::Wait moves to a helper thread so the main thread can poll that flag and call Shutdown itself, outside any signal context. A condition variable would not have helped, because notifying one from a handler is not async-signal-safe either. SIGTERM and SIGINT both exit 0 with no stack trace, where both previously exited 134. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): correct the status, lifetime and state contracts of LoadedModel An environment fault during session creation was reported as UNIMPLEMENTED. A missing libggml-cpu-*.so surfaced to the client as 'family silero_vad advertises vad/offline but refused to create the session: Failed to initialize CPU backend', which tells LocalAI the model cannot do this and must never be retried, and sends an operator hunting a capability bug instead of a packaging one. A throw from create_task_session is now a plain runtime_error, so it maps to INTERNAL. Only a null return, where the family genuinely declined, stays a CapabilityError. The model.'s task: option was parsed and then dropped: it lived in a local that died at the end of LoadModel and had no route to RequestShape::pinned_task. LoadedModel now keeps it and exposes pinned_task(). The global model becomes a shared_ptr reached through snapshot(). An audio RPC runs for seconds and cannot hold g_model_mu for its duration, so under a unique_ptr a Free arriving mid-request would destroy the model underneath it. Handlers now take a counted reference and whichever finishes last does the teardown, outside the lock. session_for documents the streaming state contract rather than resetting the session itself. Resetting on a cache hit was tried first and is not possible: silero_vad throws 'session prepare() must be called before Silero VAD reset()', so it would turn an ordinary second fetch into a hard error. start_stream's base implementation is already a reset, so a caller that runs prepare then start_stream per stream gets a clean session; a probe against the bundled silero_vad confirms an identical replay when it does and a carried-over stream when it does not. Also: an unknown backend: name is rejected before the model loads rather than after; MainGPU is parsed instead of passed through std::atoi, which turned 'gpu1' into device 0 silently; and device carries a device_set flag, because 0 is both the default and a real device index, so MainGPU was overriding an explicit device:0 that the neighbouring threads: handling promises will win. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): serve the VAD and Diarize RPCs Both emit float seconds, converted from the runtime's sample-index spans, and both take a counted reference to the loaded model through snapshot() and hold it for the whole call: a Free arriving mid-request drops only the global's reference, so whichever request finishes last destroys the model instead of one of them running on freed weights. An AddressSanitizer build reproduces exactly that heap-use-after-free inside ggml_vec_dot_f32 when the handler keeps a raw pointer instead, which is why the shape is what it is. The inference lane is taken before session_for, not after. session_for reads and writes an unsynchronised session cache and the offline run calls prepare(), which mutates the session, so both belong inside the lane. Diarize routes before it reads the input file, so a family that cannot diarize at all says so rather than complaining about the audio first. Its per-segment text stays empty because audio.cpp's SpeakerTurn carries a span and a speaker label only, and nested or overlapping turns are passed through untouched: a sortformer turn inside another speaker's turn is correct output for overlapped speech, and LocalAI is overlap-tolerant downstream. Duration counts frames rather than floats, so a stereo input does not report twice its length. Verified end to end against upstream's bundled silero_vad, which needs no download, using the bundled 16 kHz speech asset: a synthetic tone returns nothing, correctly, because silero detects speech and a sine is not speech. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): enforce ModelIdentity on VAD and Diarize audio-cpp was the only C++ backend without the model-identity guard, and no later task in the plan added it. pkg/grpc/server.go enforces checkModelIdentity on exactly these two RPCs, for the reason #10952 records: in distributed mode a worker can recycle a stopped backend's gRPC port for another model's backend, and the controller's liveness-only probe cannot tell a stale cached route from a live one. Without this guard a stale route gets a different model's VAD or diarization answer back with a 200. The loaded identity lives on LoadedModel rather than in a separate global, which is where this differs from llama-cpp. A handler holding the model through snapshot() then necessarily judges against the identity that model was loaded with, and a concurrent reload cannot swap one without the other. The refusal is NOT_FOUND carrying the verbatim grpcerrors.ModelMismatchSentinel substring. session_for and run_offline now take a const LaneEntry & proof-of-holding parameter. The rule that both must run under the inference lane was prose, which is exactly how the plan came to specify the inverted order; it is now a compile error. Restoring the inverted order fails to build rather than racing on an unsynchronised session map with a mutating prepare(). Diarize's speaker-hint comment claimed the dropped hints were "not a silent failure". From the caller's side that is what they are, and backend.proto documents num_speakers as forcing, so the comment now says plainly that the forwarding is dead for sortformer and that the family which lands must either honour num_speakers or refuse it. read_audio_file inspects the error_code from exists(), so an unsearchable parent directory no longer reports as a missing file. The VAD handler records the stimulus that actually works, since silero correctly ignores synthetic tones and the next task would otherwise rediscover that. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): make the lane and identity guards structural Two hardenings ahead of the eleven handlers still to be written, both of which get harder to retrofit later. The lane proof-of-holding parameter was a const reference, which binds to a temporary, so session_for(rpc, shape, model->acquire(0)) compiled. Each such temporary dies at the end of its own full-expression, releasing the lane between two calls that must share one: precisely the split the parameter exists to prevent, and the form a future author is most likely to reach for because it reads as tidy. A non-const reference requires an lvalue, so the temporary form now fails to compile while the named-local handlers build unchanged. The header comment no longer implies the check is total either: it proves a lane was taken, not that it is this model's lane. The identity check was two lines each handler had to remember, with nothing failing if a new one forgot them and no C++ equivalent of model_identity_modalities_test.go to notice. snapshot() becomes snapshot_unchecked(), whose only legitimate caller is Status, since HealthMessage carries no ModelIdentity. Handlers go through snapshot_for(), which takes the counted reference, refuses when nothing is loaded, and runs the identity check before anything can route. Every handler already has to call something to obtain the model, so the guarded call is now the shortest path and skipping it means deliberately typing snapshot_unchecked. A convention that has to be remembered can rot; this cannot. Verified: the temporary-argument and inverted-order forms each fail to compile with the expected diagnostic, the real handlers build, and bypassing the guard in Diarize alone turns the identity test red on that RPC while VAD stays green. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): serve the AudioTranscription RPC Adds result_map, the engine-to-proto boundary, and wires the offline transcription RPC. The handler branches on the ROUTED task: for Asr the request's prompt is whisper-style decoding context and becomes a request option, for Alignment the same field IS the transcript to align and becomes the text input. Routing has already decided which. The result text is TaskResult.text_output verbatim and is never derived from the segments. audio.cpp carries transcript text in text_output and nowhere else, so deriving it returns an empty transcript for every producer that reports segments without word timing. transcript_assembly already enforces that; this commit's job is not to undo it at the proto boundary, and result_map_ctest pins it there. read_audio_file now takes the sample rate the caller needs. Both file-fed speech handlers ask for 16 kHz mono, for two reasons: silero_vad and sortformer_diar refuse anything else outright, which turned an ordinary 44.1 kHz upload into INTERNAL, and nemotron_asr emits word timestamps in its own 16 kHz feature domain whatever the input was, so only a 16 kHz buffer makes the emitted nanoseconds right. Zero keeps the file's native rate and channels, which is what source separation will need. LoadedModel::check_can_serve answers a capability refusal before the lane is taken and before the input file is read. Routing is a pure read of the immutable capabilities, so a model that cannot serve an RPC no longer waits out somebody else's run to say so. VAD and Diarize use it too. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): stop linking sentencepiece's vendored protobuf engine_runtime links sentencepiece, whose default SPM_PROTOBUF_PROVIDER builds the protobuf-lite 3.14.0 sources it vendors. The generated backend.pb.cc is built against the toolchain's protobuf 3.21.12. Both ended up in the binary: 476 google::protobuf:: symbols came from the archive, 278 of them also defined by libprotobuf.so, and the archive won, because once ld pulls a member in for sentencepiece's own code every reference binds to the definitions that member carries. The visible symptom is one function. ParseContext::ParseMessage(MessageLite*, const char*) is what a generated _InternalParse calls for a submessage field and for nothing else, so flat messages parsed and nested ones did not: a TranscriptResult carrying segments serialized to correct bytes that the same process could not read back, and TranscriptLiveRequest, a oneof of submessages, could not have been parsed at all. Underneath that, 3.21 generated code was running 3.14 arena, ArenaStringPtr and ExtensionSet code. -Wl,--exclude-libs does not fix it. It makes those symbols LOCAL in .dynsym and the parse still fails, because the binding was decided at static link time and no visibility flag revisits it. Setting SPM_PROTOBUF_PROVIDER to "package" before add_subdirectory points sentencepiece at the protobuf the generated code was already built against. Zero google::protobuf:: definitions remain in the executable afterwards, every nested message round trips, and citrinet_asr, which parses a SentencePiece ModelProto at load time and would break first if this were wrong, still tokenizes and transcribes correctly. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): fix the segment text a transcription response is built from Segment text is not decoration. core/http/endpoints/openai/transcription.go routes response_format text, srt, vtt and lrc through schema.TranscriptionResponse, which builds the entire body out of Segments[].Text and never reads the top-level text. So for those four formats the segment text IS the response. nemotron_asr emits one word_timestamp per SentencePiece token, and the word boundary is carried as a LEADING SPACE on the piece ("So", "me", " call"). join_words inserted a space unconditionally, so response_format=text returned "So me call me na ture ," while the correct sentence sat unread in the top-level field. The separator is now chosen from the words themselves: whole words are space-joined, subword pieces are concatenated, and one leading space anywhere selects the latter. Concatenating the real nemotron pieces reproduces text_output exactly, verified end to end. This does not touch the top-level text, which is still text_output verbatim. The rule that forbids deriving the transcript from the segments is about the direction segments -> text; segment text has no source other than its words. Two smaller corrections in the same area: timestamp_granularities ["word"] set only "word_timestamps", a key no family in the pinned upstream reads. It now sets "return_timestamps", which qwen3_asr does read and which both runs its forced aligner and shortens its chunk window, so asking for word granularity no longer silently returns nothing. The request-option comment claimed more than it delivered. prompt, translate and temperature are read by no ASR family, and are forwarded only so a family adopting them works unchanged; the comment now says so per key, and gives TranscriptRequest.diarize the same explicit treatment threads already had. Also: the shipping target now carries -Wall -Wextra -Wpedantic, which it never did, so "the build is clean" starts meaning something; and fill_transcript_result no longer swallows a null response pointer, since answering OK with an empty transcript is the one failure mode this unit exists to prevent. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): serve the AudioTransform RPC Covers voice conversion, singing voice conversion, speech to speech and source separation, the four tasks LocalAI's AudioTransform can represent. AudioTransformResult carries one dst while htdemucs and mel_band_roformer produce several named stems from a single run, so inference runs ONCE, every stem is written as a sibling file <dst-stem>.<name>.<ext>, and params[stem] selects which one dst receives, defaulting to vocals and falling back to the first output. An unknown stem name is INVALID_ARGUMENT listing the real stem names rather than a silent substitution, and the selection happens before the first write so a refused request leaves no files behind. params[stem] is consumed here and is not forwarded into the engine's request options. The stem decision lives in stem_selection, which is stdlib only and therefore tested by backend/cpp/run-unit-tests.sh. It also validates the names, because they come from the model (htdemucs reads them from the GGUF's config.sources) and each becomes a component of a path this backend writes: a name carrying a path separator would escape the caller's output directory, and two stems sharing a name would silently overwrite one another. Both files are read at their native rate and channel count. Separation forces it, since demucs and roformer refuse any rate but 44.1 kHz and lose the stereo image that separates a centred vocal from a wide mix. The conversion families all resample internally (seed_vc, vevo2, miocodec, chatterbox were each checked), so passing the file through unchanged is also strictly better than band limiting it to 16 kHz first. Verified end to end against htdemucs f16 on a 44.1 kHz stereo mix: four stems plus dst, dst byte identical to the selected stem, params[stem] selecting a different one, an unknown stem refused with no files written, and mono input preserved as mono output. Also against miocodec for the single output path, where params[stem] is refused rather than ignored. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): refuse an impossible stem early, and stop blaming the caller for a failed write Four fixes from the first review of the AudioTransform RPC. check_can_serve now returns the resolved route, so params[stem] on a route that is not source separation is refused from the route instead of after a full inference: 11 ms rather than the 4.5 s a miocodec conversion costs, and far worse on seed_vc or vevo2. The post-run refusal stays as the backstop for a separation-routed family that returns no stems anyway. The typo'd-stem-name case still needs the run, since no framework header publishes the stem names before one. Stem names carrying control bytes are refused. GGUF strings are length prefixed and demucs reads its sources from JSON, so an embedded NUL survives to here: two names differing only after the NUL are distinct std::strings, so the duplicate check passes them, and then path::c_str() truncates both and they open the same file. That is exactly the silent overwrite the duplicate check exists to prevent, with the .wav lost as well. A failed write is now INTERNAL rather than INVALID_ARGUMENT. The destination is LocalAI's own generated-content directory, not anything the caller named, so a full disk or a permission fault there is a server fault and is worth retrying, which is the opposite of what INVALID_ARGUMENT tells a client. An empty output path stays INVALID_ARGUMENT. Two comment corrections and one clarification: the separators' required rate is their checkpoint's declared samplerate rather than a hardcoded 44100, seed_vc resamples with soxr and falls back to sinc-hann, and the "no files left behind" guarantee covers a refused request, not a write that fails partway through the loop. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(audio-transform): stop folding every upload to 16 kHz mono, and name the separation stems Two defects that made source separation unusable through LocalAI's own API, even though the backend served it correctly over gRPC. /audio/transform normalized every upload to 16 kHz mono s16 through utils.AudioToWav, with no way past it. htdemucs and mel_band_roformer refuse any rate but their checkpoint's own and separate a centred vocal from a wide mix using the stereo image, so every separation request through the HTTP API died with "HTDemucs prepare() sample rate mismatch: expected 44100, got 16000" while the same call over gRPC worked. The fold is not wrong, it is backend-specific: LocalVQE's echo cancellation genuinely wants 16 kHz mono and needs the reference in the same shape. So it becomes a declaration, BackendCapability.AudioTransformInputMono16k, set for localvqe and for nothing else. A backend that declares nothing gets its upload unchanged, which means no backend has to opt in to work. utils.AudioToWavPreservingShape is the non-folding conversion: a 16-bit PCM WAV passes through byte for byte at any rate and channel count, anything else is transcoded to WAV with its rate and channel layout kept. The other defect is that the run-once stem design bought nothing. A separation backend writes every stem beside dst from one inference, but AudioTransformResult carried only dst, so the other three were files no caller could find and a caller wanting all four had to run four separations. AudioTransformResult grows a repeated AudioTransformStem, the backend fills it, core/backend validates that each path really is inside the generated-content directory it handed over, and the endpoint publishes them as an X-Audio-Stems JSON header beside the existing X-Audio-Input-Url. JSON because a stem name is the model's own string and could contain any separator a hand-rolled format would use. Verified end to end through the HTTP endpoint with htdemucs f16 on a 44.1 kHz stereo file: 200 with a 44.1 kHz stereo body, all four stems named and fetchable through /generated-audio/, body byte identical to the selected stem, and params[stem]=drums returning a different one. The same upload sent to a model whose backend is localvqe still reaches the backend as 16 kHz mono, confirmed both by the engine's own rate refusal and by the persisted input file. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(audio-transform): reject extensible WAV from the passthrough, escape stem URLs, convert stems with dst Four fixes from the second review, plus one bug they made visible. isPCM16Wav tested only the bit depth, and go-audio's IsValidFile never looks at the format tag, so a 16-bit WAVE_FORMAT_EXTENSIBLE (0xFFFE) upload was passed through untouched where the old fold would have transcoded it. audio.cpp's WAV reader accepts 16-bit only when the tag is 1, so such a file died with "unsupported WAV encoding". Extensible is what many DAWs and Windows tools write and music files are this endpoint's new headline input, so it is a first-contact failure rather than a corner. The check now requires tag 1, with a spec that fails against the old implementation. Stem URLs are percent-escaped. A stem name is the model's own string and legally contains a space, a '#', a '?' or a '%'; an unescaped '#' truncates the URL before the request is even sent. The name field keeps the raw name. sample_rate and response_format are applied to the stems as well as to dst. Applying beat documenting: dst IS one of those stems, so leaving them alone broke the "dst duplicates the selected stem" invariant the whole design rests on, and both conversions are no-ops when unset. A stem whose conversion fails is dropped from the header rather than advertised in the wrong shape. Verifying that turned up why it had never been noticed: the two fields were never bound at all. The request arrives as multipart/form-data and echo's binder falls back to the FIELD NAME without a form tag, matching only case-insensitively, so "SampleRate" never matched "sample_rate" and "Format" never matched "response_format". Both were documented in the endpoint table and silently ignored. Two form tags fix it, and with them the conversion is observable end to end. Docs: audio-transform.md now documents what LocalAI does to an upload before the backend sees it, which backend gets the 16 kHz mono fold and why, params[stem], and the X-Audio-Stems header with a worked example. Also records the known limitation that the fold lookup is on the bare backend name, so pinned variants (vulkan-localvqe) do not match, and points at IsLlamaCppBackend as the suffix-tolerant precedent. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): serve the TTS and SoundGeneration RPCs TTSRequest.voice is treated as a speaker reference clip when it names an existing regular file, which makes routing prefer VoiceCloning, and as a named preset otherwise, in which case it travels as VoiceReference::cached_voice_id. Both the clip and SoundGenerationRequest.src are read at the file's own rate and channel count: upstream's own CLI and server do exactly that, every consuming family resamples internally and mostly with a better resampler than ours, and ace_step and stable_audio resample their input per channel, so a downmix here would delete the stereo image they are built to consume. The request builders live in their own unit rather than in grpc-server.cpp's anonymous namespace so they can be tested; grpc-server.cpp has a main() and cannot be linked into a test binary. The option keys are the whole point of these functions, so each one was grepped against the pinned upstream and the accounting is written down beside it. instructions maps to "instruct", which is what upstream's own server maps the OpenAI field to and what qwen3_tts and omnivoice read, and to "caption" for irodori_tts; the style tag is spelled "instruct" too, because "instructions" is looked up nowhere. duration maps to "duration_seconds", read by all three generation families, with the proto's own name kept only as a forward-tolerant alias. Keys that no family reads say so. Both handlers answer a capability refusal before taking the lane and before any file read, so a model that cannot synthesise does not queue behind somebody else's run to be told no. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): stop emitting an empty style language, and name the missing clip StyleCondition::language was set whenever has_language() was true, with no !empty() guard, while the language option twelve lines below had one. core/backend/tts.go sets Language unconditionally, so has_language() is true on every request LocalAI sends and carries "" when the caller named none. An engaged-but-empty style language is worse than an absent one: supertonic reads text_input->language behind its own !empty() guard and then overrides it from style->language with no guard at all, so "" replaced its "en" default and its tokenizer threw "invalid Supertonic language: ". Every /v1/audio/speech request that set instructions and no language would have been an INTERNAL against a supertonic model. A plain request never saw it, because the style condition only exists when instructions are non-empty, which is why the chatterbox end to end run did not catch it. TTS also stops discarding the Route that check_can_serve already returns. A family routed to voice cloning without a reference clip used to be refused from inside its own prepare(), which meant an INTERNAL naming neither the RPC nor the field to set; chatterbox advertises clon and no tts, so that was every preset-only request to it. It is now an INVALID_ARGUMENT naming TTSRequest.voice, answered in about 4 ms, and it cannot misfire because has_voice_reference is what selected cloning in the first place. Reading CapabilitySet::supports_speaker_reference to generalise this stays a follow-up. The src read carries a written caveat rather than a family blocklist, because ace_step's editing routes legitimately need src: setting src on a stable_audio model corrupts the heap and aborts the process in the pinned upstream, and the only thing keeping that off the network is that schema.ElevenLabsSoundGenerationRequest has no field for it. Nobody reading that Go schema would know why, so the reason is recorded where the field is read. build_tts_shape is extracted so TTSStream cannot describe the same request differently, and it arrived untested: two mutations of it survived until a test_tts_shape case was added. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): serve the TTSStream and AudioTranscriptionStream RPCs TTSStream leads with a streaming WAV header carrying 0xFFFFFFFF sizes, matching the convention backend/go/vibevoice-cpp established, so an HTTP client can start playback before the full PCM exists. Its chunks are read from StreamEvent::named_audio_outputs and not audio_output: supertonic, omnivoice and voxcpm2 all put their streamed audio there and leave audio_output empty until the very end, so reading the obvious field yields a stream with no audio in it. The finish_stream result is the family's own merged whole rather than a tail, so it is emitted only when nothing was streamed. Streaming transcription sends incremental deltas and degrades to a single delta plus the final result on families that offer no streaming ASR, which is the same message sequence with fewer deltas. The four streaming ASR families disagree on what partial_text means: nemotron_asr, vibevoice_asr and higgs_audio_stt report incremental fragments while voxtral_realtime reports the whole hypothesis and reports it twice, so the reconciliation lives in one tested unit rather than in the handler. nemotron_asr reports only through the stream event sink, and only from inside finalize, so the audio driver installs one and clears it again before returning: the session is cached and a sink left holding the caller's frame is a use after free waiting for the next stream. begin_stream is now the only implementation of the streaming state obligation, prepare then start_stream. Streaming sessions are cached, and what clears the previous stream is start_stream's reset; a family override that dropped it would break every call site with no compile error, so there is one call site. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): keep streaming deltas on UTF-8 boundaries, refuse dtypes that abort TranscriptStreamResponse.delta is a proto3 string, whose wire format requires valid UTF-8. voxtral_realtime reports its hypothesis as a concatenation of raw token BYTES (tokenizer_text.cpp:171-183), so the cumulative difference between two consecutive reports is eventually a lone continuation byte, and the C++ runtime serializes that with only a logged warning while the Go runtime refuses to unmarshal it: the client loses the remaining deltas AND the final_result. Measured on a trace of a non-ASCII sentence, 11 of 31 messages failed to unmarshal and every accented character was lost. TranscriptDeltaTracker now holds back an incomplete trailing sequence and merges it into the next fragment; reconcile flushes it, which it always can because the final text is complete. The same trace now unmarshals in full with zero failures. A streaming buffer whose float count is not a whole number of frames is refused rather than truncated. The integer division dropped the tail floats from the fed audio and therefore from the transcript, with no diagnostic; vibevoice_asr refuses the same thing from the other side of the call. A supertonic GGUF whose weights are not f32 is refused at load. It reaches ggml_concat with mismatched operand types and ggml_abort takes the whole backend process down on the first request, so nothing downstream can report it: the model loads, then every request kills the process. Attributed rather than assumed, the unary TTS path aborts identically, and upstream records that package as untested. The refusal names the orig package and says what to run before deleting the guard. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): stop a repeated lead byte from orphaning the next delta The first UTF-8 fix closed the cumulative half only. Rule 2 discards a fragment the known text already starts with, and when that fragment is the LEAD BYTE of a new character it looks exactly like a repeat of an older character beginning with the same byte. It was discarded rather than held, its continuation bytes then arrived alone and began the next delta, and utf8_complete_prefix_length only ever inspected the trailing sequence, so a delta invalid at the FRONT went out whole. Through a real Go proto.Unmarshal the review's four-character repro gave 3 deltas, 2 unmarshal failures and a lost transcript. Reachable from the incremental families, not only from voxtral: nemotron_asr's decoder cuts at a byte offset and vibevoice_asr's common_prefix_size compares bytes, so both split characters. Measured over 30,000 randomized incremental traces, 53.28% of Japanese traces and 9.52% of French ones carried at least one delta the Go runtime refuses. Two changes. Rule 2 no longer judges a fragment that ends mid-character, so the lead byte is held instead of swallowed and the character survives intact; the cost is a few duplicated bytes in a shrinking cumulative report, which no pinned family produces. release() additionally drops leading orphan continuation bytes, so no delta can begin mid-character whatever the rules above it decide. Losing a byte keeps the stream alive; emitting one ends the RPC and takes the final_result with it. Post-fix all 60,000 traces produce zero unmarshal failures, and the cumulative streams plus both pure-ASCII incremental streams are byte-identical to the previous commit, so nothing changed for the families already working. The weight-dtype allow list moves to family_gate, where it is stdlib-only and pinned by a test rather than only by a comment. Two comment citations corrected. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): read only an exact repeat as a repeat, not any prefix Rule 2 discarded any partial the known text merely started with. For a cumulative family that is a duplicate; for an incremental family it is an ordinary short fragment that happens to coincide with the start of the transcript, and it was dropped, silently corrupting the text. Pure ASCII, no multi-byte character anywhere: the fragments "pure ", "ascii ", "trans", "c", "ri", "p", "t" left the client holding "pure ascii transcrit". Over 5,000 randomized traces per transcript, 9.50% of pure-ASCII and 29.12% of French traces ended with the client holding something other than final_result.text, with a 200 and no diagnostic. Both incremental families emit fragments that small routinely, since nemotron_asr cuts at a byte offset and vibevoice_asr at a common prefix. Narrowing rule 2 to an exact repeat drives that to zero on all six transcripts and changes no cumulative stream at all: 30,000 randomized cumulative traces are byte-identical to the previous commit. What rule 2 guarded was established from upstream rather than from its own comment. The only duplicate any pinned family produces is voxtral_realtime's, where process_available_stream_chunks feeds each event to the sink from inside its loop and returns the last of the batch, so that event arrives twice with byte-equal text. A duplicate is an exact repeat, so equality still covers it. The case given up is a cumulative report that SHRINKS, which no pinned family can produce: voxtral decodes a token vector that is only push_back'ed and cleared by reset(), so within a stream it can only grow. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): serve the AudioTranscriptionLive RPC The one bidirectional stream this backend serves. The client sends a TranscriptLiveConfig, then TranscriptLiveAudio frames; the server acknowledges with ready, emits deltas as the audio arrives, and sends final_result once the read side closes. There is no offline fallback: live transcription has to consume audio incrementally, so a family with no streaming ASR is refused rather than served a batch run, which is what this RPC's Streaming-only mode_candidates list already says. The driver is a new sibling of run_streaming_audio, run_streaming_live, because the audio does not exist yet: instead of slicing a buffer it pulls frames from the caller until the read side closes. It installs the same ScopedStreamSink in the same order, which is not optional, since nemotron_asr returns a bare event from process_audio_chunk and reports every partial through the sink from inside finalize(). It buffers the wire's frames up to the family's own preferred window rather than feeding whatever size the client's audio callback produced, and it does not call finish_stream at all when no audio arrived, because nemotron_asr throws "finalize requires streamed audio" and an empty transcript is the truthful answer to transcribing nothing. Three things the handler had to get right and one it cannot: - The audio contract. A live request carries no samples, but nemotron_asr's streaming prepare() throws without an audio contract, and build_preparation_request derives it from TaskRequest::audio_input, so that field is an EMPTY buffer holding only the rate and the channel count. - 16 kHz or a refusal. The families express their spans in their own 16 kHz feature domain whatever the input was, and live frames cannot be resampled on the way in the way a file can, so an 8 kHz session would return timestamps 2x off with a 200. core/backend hardcodes 16000 anyway. - A mid-stream Config is refused. backend.proto calls it a decoder reset, but deltas already on the wire cannot be retracted, so a reset would leave the final text contradicting the transcript the client assembled. Ignoring the message would hand a client that believes it reset the decoder a transcript that silently continues the audio it thought it discarded. - The stale-route identity check cannot run here: TranscriptLiveRequest carries no ModelIdentity in either arm of its oneof, so snapshot_for does not instantiate for it. snapshot_unchecked's comment now names that as a second legitimate class of caller and says the fix is a proto change. eou and eob stay false. They exist for cache-aware models that emit end-of-utterance and end-of-backchannel tokens; audio.cpp's StreamEvent has no equivalent signal, and a client uses eou to decide the speaker yielded the turn, so a guess inferred from silence cuts people off mid-sentence. The lane is held for the whole stream, which is as long as the user keeps talking: the streaming session is stateful and cached, so a concurrent run would interleave two callers' audio and corrupt both transcripts. Verified against nemotron_asr over a real connection with a 14 s WAV in 512-sample frames: ready first, 59 incremental deltas with no repeated prefix, concat(deltas) equal to final_result.text, word timestamps in nanoseconds, eou and eob false. citrinet_asr answers UNIMPLEMENTED naming the family and listing asr/offline. A config followed by a close returns an empty final_result rather than hanging, and a first message that is not a config is INVALID_ARGUMENT. Two concurrent streams both return the complete transcript. Two cleanups on lines Task 12 touched, folded in. The DtypeAllowList terminator is now asserted at compile time: the reported out-of-bounds read did not exist, the single entry does terminate, but the loops have no other bound and any edit that widened an entry would walk off the end. And the dtype guard now short-circuits on "is there a table entry" through a new predicate rather than on the emptiness of the description string, which would have skipped the check on an entry with an empty allow list, i.e. on precisely the entry that refuses every dtype. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): bound the lane a live stream can hold AudioTranscriptionLive holds the model's inference lane for the whole stream, which is correct (the streaming session is stateful and a concurrent run would interleave two callers' audio) and newly dangerous. Every other RPC holds the lane across compute, or across a write to a slow reader, and both of those terminate on their own. A live stream instead blocks in a client-driven read, and a peer that goes silent WITHOUT closing the stream never terminates anything: the lane stays taken and every other request against that model queues behind a client that stopped speaking. live_watchdog is a one-shot idle timer that ends the stream when no frame has arrived inside a window. It is standard library only, so it is unit tested without an engine. gRPC's synchronous Read has no timeout and cannot be given one, so the only way to unblock it is ServerContext::TryCancel, which decides the wire status itself: the client sees CANCELLED rather than the DEADLINE_EXCEEDED the handler returns, the reason is logged, and the lane coming back is the point. When it fires the read loop throws rather than reporting end-of-input, so the driver does not go on to finalize a decode nobody is waiting for. It is armed only after the lane is taken and disarmed as soon as the read side closes, and both ends matter. Arming earlier would cover acquire(), which legitimately blocks while another live stream runs, so a queued caller would be cancelled for waiting its turn. Disarming later would cover our own decode, where a window overrun is not a peer going quiet and cancelling would throw away the transcript the client is waiting for. The window is the new live_idle_timeout_ms option, 30 s by default, 0 meaning no limit. core/http/endpoints/openai/realtime.go drives a 300 ms ticker and feeds every tick that produced new audio while a turn is open, so 30 s of silence is a hundred ticks that delivered nothing. It is also longer than any pause a speaker takes mid-utterance, which is the case that must never be cut off, and backend.proto lets one stream span many utterances, so a client that pauses longer between them raises the option rather than discovering it. Two smaller corrections in the same handler: - check_can_serve now runs BEFORE the sample rate check. pkg/grpc/grpcerrors/errors.go degrades to the file path on UNIMPLEMENTED and on nothing else, so a live-incapable model asked at a wrong rate was answering INVALID_ARGUMENT and costing the caller its fallback. - a negative sample rate is refused instead of silently becoming 16000. Zero still means 16000, which is what the proto documents; -1 is malformed rather than absent and gets the same refusal every other bad rate gets. And one thing recorded rather than changed, at the handler: "live" here means incremental INPUT, not low latency, and with the pinned families it does not yet mean incremental OUTPUT either. nemotron_asr's process_audio_chunk only appends to its buffer, so its whole decode and every delta happen inside finalize(), after the client closes its send side. The policy-window buffering is inert for that family and matters only for vibevoice_asr and higgs_audio_stt. Verified on the wire with live_idle_timeout_ms:3000. A silent client acked at 371 ms and was cancelled at 3.371 s; a second live stream opened one second later received its ack 2.37 s in, i.e. at the instant the first was cancelled, and then transcribed successfully on the same cached session. Without the watchdog it would still be waiting. Re-ran the live transcription (ready first, 59 incremental deltas, concat equal to the final text, word timestamps in nanoseconds, eou and eob false), the citrinet refusal at both a right and a wrong rate (UNIMPLEMENTED either way now), and Task 12's AudioTranscriptionStream on nemotron_asr, which is unchanged. Mutation testing the watchdog found a weakness in its own test: the destructor test slept past the window inside the watched scope, so a destructor that DETACHED the thread instead of joining it passed unnoticed. The test now uses a window longer than the scope, which kills that mutant, and says why. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): refuse the unsupported RPCs with a reason AudioEncode, AudioDecode, AudioTransformStream, AudioToAudioStream and VoiceEmbed have no counterpart in audio.cpp's VoiceTaskKind. Each now returns UNIMPLEMENTED naming the loaded family, what that family does support, and the upstream limitation, instead of the generated base class's bare status. The reasons live in a table in capability_routing.cpp so they are data rather than literals copied into five handlers, and so a test can assert every one of them. The five claims this was planned against were re-read at the pinned upstream e800d435d130dc776baf6f3e6129bb62b1495c89, and one did not hold. "audio.cpp streams tts and asr only" is false: silero_vad advertises vad with RunMode::Streaming. The refusal stands on the narrower claim that survives, that no family advertises streaming for any task AudioTransform routes to, and a test asserts the refuted wording does not come back. VoiceEmbed is the one refusal whose request carries a ModelIdentity, so it runs the #10952 check before answering: a stale route must get NOT_FOUND and the router's sentinel, not "audio.cpp cannot embed speakers" about a model that is not loaded here. It cannot use snapshot_for, whose no-model branch would tell the caller to load a model when no model can help, so it takes the reference through snapshot_unchecked and checks identity itself. That function's comment now names three classes of caller instead of two. The two bidirectional surfaces refuse without reading their stream, verified with a client that writes a config and eight frames first and gets the status rather than hanging. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): correct the vevo2 clause, and assert the absences Review found a false clause in the AudioToAudioStream refusal. It said s2s is "offline voice conversion ... which converts one clip into another speaker's voice", which is true of miocodec and false of vevo2: vevo2's s2s route is `editing` and only `editing` (default_route_for_task and route_matches_task in src/models/vevo2/session.cpp), documented as "Edit source speech into new target text while using the target voice" and requiring --target-text, so it rewrites what was said. vevo2's voice conversion is its separate vc task. It now reads "offline clip-to-clip processing against a target voice, declared only by miocodec (voice conversion) and vevo2 (speech editing)", and a test asserts the miscast cannot come back. The conclusion is unchanged: neither family converses. That defect was undetectable on the wire, since vevo2 does not load here, which is the argument for upstream_absence_ctest.cpp. It links engine_runtime purely to interrogate make_default_registry() and asserts the five premises the refusal reasons rest on: no codec task kind, no family advertising spk, no streaming for sep/vc/svc/s2s, miocodec advertising exactly vc and s2s, and s2s advertised by exactly miocodec and vevo2. The last two are exact sets, so an addition fails here rather than leaving a message stale. A positive control proves the registry is populated and the query works before any absence is believed, and every assertion has a reproduced negative control. This turns an AUDIO_CPP_VERSION bump from "remember to re-read five prose paragraphs" into a test failure. unsupported_surface now switches over UnsupportedRpc with no default label, so -Wswitch reports a sixth enumerator added without a row at build time; the runtime bounds guard it replaces is deleted. The AudioTransformStream reason had a true premise and an overreaching conclusion: an offline sep family could be buffered into a stream, as other LocalAI backends do. It now says this backend declines to offer a buffered offline call in disguise, rather than implying impossibility. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): make the missing-switch-case diagnostic fatal unsupported_surface() switches UnsupportedRpc onto the table row that explains it, with no default label, so -Wswitch reports an enumerator nobody handled. As a warning that is not enough: adding a sixth enumerator and building the shipping target gives exit 0, a binary and one warning, and the trailing `return surfaces[0];` then answers the new RPC with AudioEncode's codec reason. That is a confident, specific and false statement about audio.cpp on the wire, on the one code path whose entire job is to be truthful about what this backend cannot do, and it is worse than the runtime fallback it replaced, which at least named itself as a bug in this file. capability_routing.cpp therefore joins loaded_model.cpp on the existing -Werror=switch pin, whose comment already made this argument for the engine enum. The comment now covers both files. The pin stays per-file rather than project-wide because upstream's own ace_step/vae_decoder.cpp has unhandled -Wswitch cases of its own. Verified: a sixth enumerator now fails `make grpc-server` with exit 2 and no binary; appending a 14th VoiceTaskKind upstream still fails loaded_model.cpp, so the two pins fire independently; both reverted clean. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): package the backend image Bundles the dependency closure for the from-scratch image, the dlopened ggml CPU-variant shared objects that ldd cannot see, and upstream's bundled silero_vad and marblenet_vad assets so VAD works with no download. The bundled loader sits in the package ROOT rather than at lib/ld.so. run.sh execs it, which makes /proc/self/exe name the loader, and this backend has two consumers of that path: ggml discovers the libggml-cpu-*.so by listing dirname(/proc/self/exe), and resolve_model_path expands bundled:<name> under the same directory. Rooting the loader makes the binary, the ggml objects and assets/ share the one directory all three resolution mechanisms agree on. llama-cpp's lib/ld.so layout would need assets/ moved into lib/ as well. The image builds against apt gRPC and protobuf, like Dockerfile.ds4 and unlike Dockerfile.privacy-filter. The from-source gRPC that install-base-deps.sh and the base-grpc-* images supply vendors protobuf 26, which pulls abseil into message_lite.h; with SPM_PROTOBUF_PROVIDER=package that collides with sentencepiece's vendored mini-abseil and every absl::internal reference becomes ambiguous. Noble's protobuf 3.21.12 predates the abseil dependency and is the pair every earlier verification of this backend ran against. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): exempt the driver libraries from the packaging gate package.sh already left libcuda.so* and libnvidia-* to the host when copying, because the driver has to match the kernel module on whatever host runs the image, but the validation gate had no matching exemption. With BUILD_TYPE=cublas ggml is static and links CUDA::cuda_driver, so grpc-server carries DT_NEEDED libcuda.so.1 and the gate would have rejected the very absence the copy loop created, failing every cublas build in CI. One regex now feeds both. Building a control for that found a second defect: ld.so --list refuses to trace an object with an unresolvable dependency at all, exiting 127 without emitting a per-library line, so the "=> not found" rule was dead code and no exemption could have applied to it. The gate now traces with LD_TRACE_LOADED_OBJECTS and LD_LIBRARY_PATH, which reports the missing name and exits 0, and which is also what run.sh does at run time. Adds a layout assertion so a future move of the loader into lib/ fails the build instead of shipping a package that resolves bundled: models into lib/assets and finds no ggml CPU backend, and records for Task 16 that the Darwin script must not be a straight copy of privacy-filter-darwin.sh, which never calls package.sh and would silently drop assets/. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): register the backend with CI and the gallery Adds the five Linux matrix entries (cpu amd64/arm64 sharing a tag-suffix so the manifest merge fires, cuda 12, cuda 13, vulkan), the path-filter case that keeps later PRs touching backend/cpp/audio-cpp/ from getting zero CI jobs, the bump-bot entry pointing at the AUDIO_CPP_VERSION pin in the backend Makefile, the gallery meta plus its -development variant and the image entries for every variant, and the Makefile docker-build wiring. The matrix entries carry base-image only, with no builder-base-image, unlike the llama-cpp and privacy-filter blocks they sit next to. The prebuilt quay.io/go-skynet/ci-cache:base-grpc-* images ship a from-source gRPC whose protobuf v26 depends on abseil, and this backend's sentencepiece is built with SPM_PROTOBUF_PROVIDER=package, so it sees real abseil's absl::lts_20240116:: internal alongside its own vendored plain absl::internal and every absl::internal:: reference becomes ambiguous. Building against base-grpc-amd64 fails at sentencepiece-static.dir/error.cc.o with "reference to 'internal' is ambiguous". Dockerfile.audio-cpp installs apt's gRPC/protobuf 3.21.12 itself, which is also the pair every unit and end-to-end run of this backend has been verified against, and the CUDA toolkit therefore has to come from base-image. No Darwin matrix entry and no metal gallery entries: the Metal build needs scripts/build/audio-cpp-darwin.sh, a backends/audio-cpp-darwin make target and a routing step in backend_build_darwin.yml, none of which exist yet, so an entry added now would be routed to build-darwin-go-backend and look for backend/go/audio-cpp/. The inferBackendPathDarwin case and the DARWIN_BESPOKE_BUILDERS membership are in place, inert, so that adding the entry later is a one-line change that cannot be claimed by the generic Go path. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): pin the CUDA architectures, drop the vulkan variant Upstream sets CUDA_ARCHITECTURES to `native` on the engine_runtime target whenever CMAKE_CUDA_ARCHITECTURES is unset at root scope, and docs/build/ linux.md says so outright. ggml's own default does not rescue it: it list(APPEND)s in the ggml subdirectory scope, which never reaches the root scope where the engine_runtime property is decided. No CI runner has a GPU for `native` to enumerate, so both cublas entries would have gone red on the very commit that first turns a CUDA build on. Pin the list in backend/cpp/audio-cpp/Makefile, selected by CUDA_MAJOR_VERSION, which Dockerfile.audio-cpp now forwards from the CI build-arg it was previously discarding. The values are copied from ggml's own version guards rather than invented, so engine_runtime and ggml compile for the same set: CUDA 12 keeps the Maxwell/Pascal/Volta virtual archs and stops at 120a-real, CUDA 13 drops them and adds 121a-real. The `a` suffix is used rather than `f` because the latter needs CMake 3.31.8 and Ubuntu Noble ships 3.28.3. Verified by driving CMake 3.28.3's own CUDA architecture validator over both lists, with 120f-virtual as the rejected control. Drop the vulkan matrix entry, its two gallery entries, the vulkan capability key on both metas and the Vulkan tag. Every other vulkan backend gets its Mesa ICD drivers from .docker/install-base-deps.sh, which package-gpu-libs.sh then bundles; Dockerfile.audio-cpp calls neither and installs only libvulkan-dev and glslc, so the image would ship a Vulkan loader that finds no GPU. No CI job runs a vulkan image against real hardware, so that would have passed green and failed in users' hands. BUILD_TYPE=vulkan stays supported for local builds. Also note on the cublas entries that cuda-major-version now selects the architecture list and that cuda-minor-version and the base-image tag encode the same toolkit, and correct the stale entry counts on matrixEntryKey. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): build for Darwin Metal Bespoke C++ Darwin path like ds4 and privacy-filter: an includeDarwin matrix entry, a backends/audio-cpp-darwin make target, a gated workflow step, and the metal image entries plus metal/metal-darwin-arm64 capability keys in the backend gallery. The build script deliberately does NOT reassemble the package the way privacy-filter-darwin.sh does. It runs the backend's own `make package` and copies the result, so the Darwin package keeps the root-level layout the Linux one has: grpc-server, run.sh, the ggml objects and assets/ in one directory, with lib/ for the dylib closure. Hand-assembling would drop assets/, and assets/ is what makes the bundled: model paths resolve with nothing downloaded. The dylib walk is a full transitive closure rather than the single level ds4 and llama-cpp do, because Homebrew's grpc++ pulls libgrpc, abseil, upb, cares and OpenSSL that grpc-server does not link itself, and a level-1 walk ships a package that only works on a machine that already has Homebrew grpc. Two fixes folded in, both in the backend Makefile: - an EMPTY CUDA_MAJOR_VERSION fell through to the CUDA 12 architecture list, which contains 120a-real and so needs nvcc >= 12.8. A local BUILD_TYPE=cublas build on a 12.0-12.7 host failed to compile where upstream's documented default (native) worked. EMPTY now maps to native, 12 and 13 keep their lists, and any other non-empty value is an error on cublas builds. CI always passes a major, so CI is unaffected. - the Darwin branch now points CMake at Homebrew's keg-only libomp. AppleClang ships no OpenMP runtime and nothing is symlinked into /opt/homebrew, so FindOpenMP finds neither the library nor the header, and audio.cpp calls find_package(OpenMP REQUIRED) whenever ENGINE_ENABLE_OPENMP is on. Without the hint the macOS build would have died at configure time. If the keg is absent the build disables OpenMP instead of failing. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): make the Darwin fallbacks loud and the rpath walk complete Review follow-up on the Darwin Metal build. The OpenMP fallback was silent. If brew --prefix libomp ever comes back empty, CI produced a green Metal package with 108 #pragma omp directives across ~30 files compiled out, and clang says nothing about an ignored omp pragma without -Wsource-uses-openmp, so the only trace was one absent flag inside a set -x cmake line. That regression would have been blamed on Metal. It now warns. The @rpath arm of the dylib walk had no live candidate when it was written, on the reasoning that a Metal build links ggml statically. The OpenMP fix in the same commit made libomp.dylib one, and whether Homebrew records it as an absolute opt path or as @rpath/libomp.dylib is not observable from Linux. The walk now expands @rpath, @loader_path and @executable_path against the object's own LC_RPATH entries, and only fails when nothing on disk answers, printing the rpath list with the error so a failure on a machine nobody can attach to explains itself. Also: ADDITIONAL_LIBS now go through the closure rather than a bare cp, so they are deduplicated and their own dependencies bundled; build/darwin/lib is created explicitly instead of relying on package.sh pre-creating it; the libomp probe uses nested ifneq rather than $(and ...), which needs GNU make 3.81 and would otherwise expand empty and take the OFF branch on an older make; and -DOpenMP_ROOT is quoted like its CUDA sibling. Verified with a Linux harness that runs the script verbatim against a stubbed otool: a level-2 transitive dep, an @rpath dep reachable only through LC_RPATH, and an ADDITIONAL_LIBS dep are all bundled, a dependency cycle terminates, system libraries are skipped, the packaged tree has assets/ at the root beside grpc-server with the dylibs in lib/, and both failure paths exit non-zero. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): make bundled: reachable from a model YAML resolve_model_path() tested the bundled: prefix on `candidate`, which prefers ModelFile and falls back to Model. LocalAI fills ModelFile by joining ModelPath onto the configured model string (pkg/model/loader.go, LoadModelWithFile), and only sets it from a managed artifact otherwise, so a model YAML saying `model: bundled:silero_vad` arrives as ModelFile "/models/bundled:silero_vad" and Model "bundled:silero_vad". The prefix therefore never matched through the normal load path: it matched only for a hand-written LoadModel call that left ModelFile empty, which is exactly how task 15 verified it, and every model YAML using the form failed with "model path does not exist: /models/bundled:silero_vad". Both fields are now checked, Model first, so the zero-download VAD path the package ships assets for is reachable the way it is documented. A caller that puts the form in ModelFile still works, so task 15's verification stands. Compiled clean; the runtime check could not run on this host, whose system libprotobuf/libre2 have gone missing (the pre-existing grpc-server binary no longer resolves its libraries either), so it wants a container run. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): advertise the backend and document its options Registers audio-cpp as preference-only in /backends/known: the family lives in GGUF metadata that an importer cannot read from a remote repo, and one repo hosts thirty families, so there is no honest auto-detect signal. Modality is a single string and the import form chips on a fixed key set, so it registers as tts with the other modalities named in the description rather than under an invented key the UI would bucket as "other". Adds a features page covering the option namespacing, the routing table per endpoint, the RPCs this backend declines and why, the bundled VAD path, the separation stem behaviour, and the family gotchas (supertonic needs the orig package; chatterbox advertises cloning and no plain tts; nemotron_asr defers its whole decode to finalize so live transcription emits nothing until the client half-closes, unlike higgs_audio_stt and voxtral_realtime). Every option name and family capability in it was read off the pinned upstream checkout. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(audio-cpp): test resolve_model_path, and correct the family names The bundled: fix in 842443cd7 shipped without a test, which is how the bug got there: task 15 verified the form with a hand-written LoadModel that left ModelFile empty, and that is the one shape the server never produces. Four cases in streaming_driver_ctest, which already links loaded_model.cpp, pin the PRODUCTION shapes instead. The first fails against the pre-fix source (returns the joined /models/bundled:silero_vad); the other three are the branches the bundled: lookup now runs in front of and must fall through for. Three family names in the docs were the source directory rather than the registered family, on pages whose whole argument is that these names cannot be guessed: demucs is htdemucs (demucs/loader.cpp:22), roformer is mel_band_roformer (roformer/assets.h:15), and moss is TWO families, moss_tts_local and moss_tts_nano. The hyphenated ASR names are underscored to match, here and in the compatibility table. The supertonic dtype note claimed more than the evidence carries. The f16 abort is a local observation, identical through TTS and TTSStream; upstream's docs/gguf.md leaves the 16-bit column untested and records q8_0 as "No (unsupported weight dtype)", which says unusable rather than fatal. Both are still refused, because the allow list is what the family can run. Corrected in family_gate.h, family_gate.cpp and the docs together, since the docs inherited the wording from the code. The importers tripwire says in the file that it is a tripwire: it exercises no audio-cpp behaviour, and the registration assertion lives in backend_test.go. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * gallery: add audio.cpp models covering every served RPC One representative model per RPC group of the audio-cpp backend, plus the two bundled VAD models, which need no download at all because the assets ship inside the backend package. Every hash was computed with sha256sum on the downloaded file. Quantizations come from upstream's tested-status table in docs/gguf.md rather than a default of q8_0: supertonic ships the orig package (its q8_0 is recorded as an unsupported weight dtype and its f16 aborts in ggml_concat), and nemotron_asr and htdemucs ship f16 because their q8_0 builds are recorded with drift while 16-bit is a clean pass. Diarization and separation use the diarization and audio_transform usecases, not transcript: /v1/audio/diarization and /audio/transform filter the default model on FLAG_DIARIZATION and FLAG_AUDIO_TRANSFORM respectively, so a transcript flag would have hidden both models from their own endpoints. The forced aligner sets parameters.language, which the transcription endpoint uses as the fallback when no language form field is sent, because the family requires both a transcript and a language. All ten entries were run twice: once against the raw gRPC server, and once installed with local-ai models install and called through the HTTP endpoint. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * gallery: correct the audio.cpp entries' licenses Swept all ten entries against the real upstream named in audio.cpp's tools/model_manager.py rather than against the audio.cpp repo's own license. Three were wrong: supertonic apache-2.0 -> openrail weights come from mlx-community/supertonic-3-mlx, and both it and Supertone/supertonic are openrail citrinet apache-2.0 -> other pulled from NGC nvidia/nemo/stt_en_citrinet_256, governed by the NGC Terms of Use sortformer other -> cc-by-nc-4.0 nvidia/diar_sortformer_4spk-v1 is CC BY-NC 4.0, and the gallery already uses that exact string, so there is no reason to obscure a non-commercial bar The license field is one word, so citrinet and sortformer also gained a sentence saying why they are restricted. The other seven were confirmed correct against their sources. Also drops an unverified claim from the nemotron description. It said the model drives the realtime transcription session; that endpoint actually calls TranscribeStream, and the live RPC reaches LocalAI only through realtime_semantic_vad.go. Neither path was exercised here, so the description now states only the two calls that were. MarbleNet gains the NeMo upstream under urls: for parity with silero. No sha256, quantization, usecase or model choice changed. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(audio-transform): bound sample_rate, keep same-named uploads apart Four defects the whole-branch review found on the Go side, plus two comment corrections. sample_rate is a disk-exhaustion hazard. The branch added the `form:` tag that makes the field bind for the first time, so the resample path went from dead to live, and utils.AudioResample interpolates the int straight into ffmpeg's -ar with no bound. Measured with ffmpeg 7: -ar 999999999 on a 0.01 s clip writes 20 MB and exits 0, which scales linearly to the reported 3.9 GB for one second, into a GeneratedContentDir nothing sweeps, and convertStems repeats it once per separation stem. Clamped to 8000..192000 in the handler, before the temp dir and before the model is touched, and rejected with a 400 outside it. The low end was reported as "a 0-byte file". It is not: -ar 1 writes a 78-byte header with no audio behind it, whose declared data size still claims 70 bytes, so go-audio parses it as a 35 SECOND file and a size check does not see it. The guard therefore compares the declared data chunk against the bytes actually on disk, and AudioResample now fails rather than returning a WAV carrying nothing. Both parts of a transform request land in one temp dir, and the raw copy was named only after the client's basename, so `-F audio=@mic/clip.wav -F reference=@loopback/clip.wav` wrote "raw-clip.wav" twice. Since AudioToWavPreservingShape hardlinks an already-PCM16 WAV rather than copying it, the reference part's os.Create truncated the inode audio.wav pointed at: mic and reference came out identical, which makes an echo canceller null everything and return near-silence with a 200. The raw copy now carries the form field name. audio-cpp had no BackendCapabilities entry, so VoiceCloningForModel returned nil before it ever consulted the model's tts.voice_cloning override and every `voice: "profile:<id>"` request was refused with a 400, on a backend that ships audio-cpp-chatterbox whose family serves cloning and not plain TTS. Registered with its RPCs, usecases and the reference-audio contract, and deliberately without the 16 kHz mono fold, which its separation families cannot survive. GetBackendCapability was exact-match only, so every pinned gallery variant read as an unknown backend: vulkan-localvqe lost the 16 kHz mono fold that used to be unconditional and started failing inside LocalVQE, and the usecase gate does not stand in for it because BuildFilteredFirstAvailableDefaultModel returns early once the client names a model. Lookup now falls back to the meta name by stripping the gallery's hardware prefix and release-channel suffix, exact match first so nothing can be shadowed. Same class as #10945. Also corrected: the AudioTransformRequest comment claimed echo's binder falls back to the field name, which it does not in either direction (bindData binds ONLY tagged fields and `continue`s otherwise; `model` arrives from setModelNameFromRequest's c.FormValue). And the stable_audio `src` heap corruption caveat now lives on ElevenLabsSoundGenerationRequest, where the Go developer who would add the field can see it, instead of only in C++. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(audio-cpp): refuse a task pin the RPC cannot serve, and stop empty frames holding the lane The model's `task:` option is copied into the request shape by all nine handlers, which is correct, but resolve_route then replaced the RPC's candidate list with the pin WHOLESALE and never asked whether the pin was something that RPC routes to. One pin therefore bled across all nine surfaces, and because the family still supported the pinned task the result was a wrong 200 rather than an error. Reproduced live: nemotron with task:asr made Vad return 200 with zero segments after a full ASR decode, so 14 seconds of speech was reported as silence, and Diarize did the same; silero_vad with task:vad made AudioTranscription return 200 with empty text and four segments whose spans were VAD segments, which combined with response_format in {text,srt,vtt,lrc} building the body solely from Segments[].Text yields a well formed SRT of four timed EMPTY cues. It also contradicted the documented contract, that a family which cannot serve a request is refused rather than rerouted. A pin is now checked against the RPC's admissible task set before it is adopted, and the refusal names both the pin and the RPC. The set is derived from task_candidates with every shape flag set rather than restated, so a task added to an RPC's candidates cannot become inadmissible by omission. Every legitimate pin survives, and the test asserts all fifteen of them alongside the eight crossings that must not. The live watchdog was defeated by empty frames. idle.touch() ran on ANY message, before the has_audio and pcm.empty() filters, so a peer writing unset-oneof or zero-length frames faster than the window held the lane indefinitely while feeding the decoder nothing. There is one lane per model and one model per process, so that is a single client denying the whole backend, which is what the watchdog exists to prevent, and the thrown text already said "no audio frame arrived". The touch moved below the filters, which are now a named predicate so the distinction is testable rather than a call order nobody can see. Three comments corrected against measurement rather than reasoning: - CMakeLists claimed zero google::protobuf:: definitions remain in the executable. nm -C --defined-only reports 2515, and that is expected: they are generated code, sentencepiece::ModelProto's own _InternalParse among them. The claim that holds, and the one the ABI fix is actually about, is that no vendored protobuf RUNTIME is linked and ParseContext::ParseMessage is UNDEFINED in the executable, resolving to libprotobuf.so. - refuse_cloning_without_a_clip's "cannot misfire" paragraph had its reasoning backwards. Routing picks VoiceCloning as the FALLBACK when there is no clip, which is the case being caught; chatterbox, which ships in the gallery, advertises clon and no tts at all, so every voice-less request lands there. - audio_units read "2.1 min at 96 kHz" for index 11289602, which is 1.96 min. 2.1 min is 96 kHz's OWN first failure at 12288002. Both were remeasured and the note is now a per-rate table. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * build(audio-cpp): exclude the upstream checkout from the C++ gate, harden the darwin walk run-unit-tests.sh pruned */llama.cpp/* but not */audio.cpp/*. It is safe today only by luck: upstream's 44 tests all put "test" at the FRONT of the filename (17 test-*.cpp, 27 test_*.cpp, zero *_test.cpp), so the glob misses every one of them, and nothing enforces that. This gate runs on every PR for every backend and compiles each match as a standalone translation unit with nothing but nlohmann/json on the include path, so the day upstream adds or renames one test the gate goes red repo-wide on an Apache-2.0 file nobody here wrote. audio-cpp-darwin.sh now logs the raw otool -L output and the parsed LC_RPATH list unconditionally, before the walk. Both awk filters in that script assume a column layout nobody working on this can observe, since it runs only on the CI Mac, and a green first Darwin run proves nothing about the assumption: an awk that silently matched nothing yields an empty dependency list, which reads exactly like "no non-system dependencies" and packages happily. Both filters otherwise feed process substitutions, so their input never reached the log. It also lists every symlink in the package and fails on one that cannot resolve inside the image. A dangling link does not fail anything else here, because every assertion tests with -e, which follows links; it fails at dlopen on a user's Mac. Links are NOT banned outright, which the review suggested but which would break the libggml.dylib -> libggml.0.dylib chain the `cp -a` above exists to preserve. What is banned is a link that resolves on the build host and will not resolve in the image: a broken one, or an absolute one pointing outside the package. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * style(audio-cpp): drop em dashes from the audio-cpp capability entry Follow-up to a84b3c4b9, no behaviour change. Assisted-by: Claude:claude-opus-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(config): key the voice-cloning model rule on the resolved backend Making GetBackendCapability strip the gallery hardware prefix and release channel fixed pinned variants of /audio/transform, but VoiceCloningForModel kept keying its per-backend switch on the caller's spelling. A pinned name therefore resolved the capability by stripping and then missed every case in the switch, falling through to the permissive default: cuda12-vibevoice-cpp advertised voice cloning for the realtime 0.5B model, metal-coqui for tacotron2, cuda12-crispasr for a pure ASR model, cpu-qwen3-tts-cpp for CustomVoice. Each of those is a model that cannot clone, so /v1/audio/speech accepted a profile: voice it had to fail on inside the backend rather than rejecting it with a 400, and the UI advertised the capability too. resolveBackendCapability now returns the key the entry was found under, and callers that branch on backend identity use that key instead of the name they were handed. The exact-match-first order is unchanged, so a backend genuinely registered under a variant-looking name still keys on its own name. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-5 [Claude Code] * gallery(audio-cpp): declare audio_transform on the chatterbox entry Chatterbox advertises VoiceCloning AND VoiceConversion (src/models/chatterbox), and the entry's own description already said so, but known_usecases listed only tts. /audio/transform selects its default model by FLAG_AUDIO_TRANSFORM, so voice conversion was reachable only by naming the model explicitly and was invisible to every usecase-driven surface. It is the one audio.cpp task with a shipped gallery model and no way to find it. Verified against the real model rather than inferred from the capability list: AudioTransform with chatterbox-q8_0, speech as audio_path and a speaker clip as reference_path, returns a 5.08 s 24 kHz mono WAV at -25.5 dB mean and zero stems, which is the single-output shape voice conversion should have. The description now says which endpoint reaches that half and warns that installing this next to a source-separation model gives /audio/transform two candidates, so the model should be named rather than defaulted. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-5 [Claude Code] * gallery(audio-cpp): add voice-design and singing-voice-conversion entries Two of the three audio.cpp task kinds that had no gallery model now have one. Both were driven end to end against the real weights through the backend before being written, not inferred from the capability tables. audio-cpp-irodori-voicedesign covers vdes. TTS carrying `instructions` routes to the vdes task, so the voice is described in words rather than supplied as a clip. Verified: "a calm elderly woman speaking slowly with a warm, gentle tone" over an 8.76 s 48 kHz mono render at -16.8 dB mean, and a closed-loop citrinet pass recovers the sentence with the accent drift expected from a Japanese-first model read by an English recogniser. audio-cpp-seedvc-singing covers svc, and pins task:svc because nothing else can reach it. seed_vc advertises svc and ordinary voice conversion, no request signal means "this input is singing", and auto-routing resolves the tie to voice conversion every time. Verified with the pin: 5.04 s 44.1 kHz output whose closed-loop citrinet transcription is exact. s2s deliberately has no entry, and the reason is not effort. miocodec is the only upstream family whose speech-to-speech route needs no text, and it returned audio with correct duration and level but no recoverable speech in four independent attempts: the stale build, v2 q8_0, v2 orig (the variant upstream records as a clean Pass), both tasks, and matched 44.1 kHz inputs on both sides. vevo2's route refuses with "Vevo2 text/prosody route requires text_input or target_text", and session.cpp:897 fills target_text only from request.text_input, which AudioTransform has no field to carry. The same vevo2 weights convert voice correctly through the default route with an exact ASR round trip, so the model and the plumbing are both healthy; it is the s2s route specifically that this RPC cannot express. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-5 [Claude Code] * backend(audio-cpp): carry transform text through params, add the s2s entry AudioTransform is audio-in / audio-out and its proto message has no text field, but not every task it routes to is audio-only. vevo2's speech-to-speech route is a text and prosody route: session.cpp:897 fills refs.target_text from request.text_input and nowhere else, and the run refuses without one with "Vevo2 text/prosody route requires text_input or target_text". The params map is the only channel this RPC has that reaches the engine, so the text travels through it and apply_transform_text_input unpacks it after the params have been copied into task.options. Before this, s2s was not awkward to reach through /audio/transform, it was unreachable, and it was the last audio.cpp task kind with a real model and no way to get to it. target_text is canonical and text is its alias, the order vevo2's own option table declares them in, so a request setting both gets the canonical one rather than whichever the map happened to store first. An empty value falls through to the next candidate instead of ending the search. language rides along only when a text was found: on its own it conditions nothing, and manufacturing a text_input for it would route a plain separation request carrying a language hint through the text path. The keys are left in task.options rather than erased, because vevo2's loader advertises target_text as a request option and a family reading it there keeps working. Nine tests, all confirmed failing on behaviour against a stub that returned false before the implementation was written. Verified end to end afterwards: vevo2-q8_0 with task:s2s and params[text] returns a 5.12 s 24 kHz output whose closed-loop citrinet transcription is exact, and htdemucs separation with no text param still returns its four stems, with and without params[stem]. audio-cpp-vevo2-speech-to-speech ships that route. Every audio.cpp task kind with a loadable family now has a gallery entry; spk remains the only gap and has no family upstream at all. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-5 [Claude Code] * docs(audio-cpp): document params[text] and the pinned transform tasks The text channel and the two task pins are both invisible from the endpoint contract alone: nothing in the AudioTransform form tells a reader that a speech-to-speech model needs the line it is resynthesising, and nothing says that asking for singing voice conversion without task:svc silently gets plain voice conversion instead. Both are the kind of thing a user only discovers from a refusal or, worse, from output that looks right and is not. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-5 [Claude Code] * fix(utils): annotate the two G304 sites this branch introduced gosec flags os.Open on a variable path, and both new call sites in ffmpeg.go are its alerts on this PR. Neither is reachable by an outside caller: isPCM16Wav opens the exact path it is about to hand ffmpeg as input, which in the upload path is a server-created temp file named from path.Base of the client name so no traversal survives, and wavAudioBytes opens AudioResample's own dst, a name this package derives from src and has just had ffmpeg write. Annotated in the repo's existing style rather than restructured, with the reason spelled out, because a bare suppression is worth nothing to the next reader. The three other G304 sites in this file, in passthroughWAV and isTargetWav, predate the branch and are left untouched. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-5 [Claude Code] * fix(audio-cpp): build arm64 with gcc-14 for the armv9.2 SME variants The arm64 CPU image failed to build: cc1: error: invalid feature modifier 'sme' in '-march=armv9.2-a+dotprod+fp16+sve+i8mm+sve2+sme' ggml's CPU_ALL_VARIANTS table includes armv9.2 variants compiled with +sme, and Ubuntu Noble's default gcc-13 rejects that feature modifier. Every entry in the table has to compile even though a host only ever dlopens the one its own CPU supports, so a single unbuildable variant fails the whole image. gcc-14 accepts it, which is exactly the fix llama-cpp already carries in .docker/llama-cpp-compile.sh; this is the same problem reached by a different Dockerfile. Applied to every arm64 BUILD_TYPE rather than to the CPU one alone, and that differs from llama-cpp on purpose. llama-cpp needs it only for its pure-CPU image because its GPU builds run llama-cpp-fallback, which builds no variant table. This backend's Makefile turns ENGINE_ENABLE_CPU_ALL_VARIANTS on for every non-Darwin build, GPU included, so an arm64 GPU image would hit the identical error. The matrix has no arm64 GPU entry today, which is precisely why gating on an empty BUILD_TYPE would leave the trap armed for whoever adds the first one. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-5 [Claude Code] --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>	2026-07-30 12:11:56 +02:00
Dimitris Karakasilis	c6c347ce13	feat(stablediffusion-ggml): make VAE tiling configurable (#11216) ... GenerateImage hardcoded TilingParamsSetEnabled(vaep, false), so tiled VAE decoding was unreachable from a model config even though all four upstream setters were already bound in main.go. Sampling runs in latent space, but the final VAE decode expands to full resolution and needs one large compute buffer. At 1024x1024 that buffer exceeds 8GB, which fails on two kinds of device: cards without the VRAM for a full-frame decode, and drivers that cap a single allocation regardless of how much memory is free. Mesa RADV reports a 4GiB maxMemoryAllocationSize, so a Radeon 8060S with 74GiB of device-local heap still cannot serve that decode: [INFO ] sampling completed, taking 251.82s [INFO ] decoding 1 latents ggml_vulkan: Requested buffer size exceeds device buffer size limit: ErrorOutOfDeviceMemory [ERROR] vae: failed to allocate the compute buffer [ERROR] decode_first_stage failed for latent 1 Every sampling step completes and then the run is discarded at the last stage, so the whole generation is wasted. Add three options, parsed in Load and applied per generation: vae_tiling:true enable tiled decoding (bare flag also works) vae_tile_size:512 tile size, or 512x384 for a rectangle vae_tile_overlap:0.25 overlap between tiles Tiling stays off unless requested, so existing models are unaffected. Tile size and overlap only reach the library when the operator set them, which keeps upstream's defaults rather than pushing a zero, and an unparseable value is treated as absent for the same reason. Truthy spellings match what load_model already accepts for its own bool options, and the bare-flag form matches diffusion_model, so no new convention is introduced. Signed-off-by: Dimitris Karakasilis <dimitris@karakasilis.me>	2026-07-30 10:33:31 +02:00
mudler's LocalAI [bot]	d8a1e3c2e4	fix(realtime): echo response.metadata on response.created and response.done (#11198) ... response.create accepts a metadata map and ResponseCreateParams has carried the field all along, but triggerResponse never copied it onto the Response it emits, so both terminals went out with metadata omitted. That field is the only thing tying a terminal event back to the response.create that asked for it. Our own doc comment on ResponseCreateEvent says so — "the metadata field is a good way to disambiguate multiple simultaneous Responses" — and it is what makes an out-of-band response (conversation: "none") usable at all: a client running one alongside the spoken conversation has no way to tell its own answer from the conversation's, so it waits for a reply it already received and gave away. Found from the client side: a headless text turn injected into a live session was answered correctly in about a second, and the caller still blocked until its own two-minute timeout because it could not recognise the answer. Carry the map on liveResponse so all three terminals (in_progress, cancelled, completed) report it, and leave it omitted when response.create sent none. Assisted-by: Claude:claude-opus-5 gofmt Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>	2026-07-29 23:17:31 +02:00
localai-org-maint-bot	9bfd71387b	feat(stores): add Valkey Search vector store backend (#11196) ... * feat: add Valkey Search vector store backend Add a new built-in Go gRPC store backend 'valkey-store' that implements the four Stores RPCs (Set/Get/Delete/Find) against the Valkey Search module (FT.*) using the pure-Go github.com/valkey-io/valkey-go client. It is selected via the existing per-request 'backend' field on /stores, so there is no proto or HTTP API change, and it mirrors the in-memory local-store while adding persistence across restarts and opt-in HNSW. Each vector is a Valkey HASH keyed by hex(little-endian float32); the index is created lazily on first Set (FLAT+COSINE by default), cosine similarity is derived as 1-distance, and namespaces get a collision-resistant token. Includes unit tests (valkey-go mock) and env-gated integration tests against valkey/valkey-bundle, plus build/matrix/gallery wiring and docs. Assisted-by: Kiro:claude-opus-4.8 golangci-lint Signed-off-by: Daria Korenieva <daric2612@gmail.com> * Address review feedback: recover persisted index dimension, harden Find - Load now recovers the persisted vector DIM from FT.INFO (not just index existence), so a post-restart Set/Find validates against the real DIM instead of silently re-learning a wrong one and dropping mismatched vectors from the index. This also restores Find's dimension check after a restart. - StoresFind treats a dropped/missing index as an empty store (empty result, no error) and clears the stale indexCreated flag, matching local-store's empty-store behaviour. - StoresSet reuses checkDims for its per-key length check so the four RPCs share one dimension-guard implementation. - Add unit tests for FT.INFO dimension recovery, loadIndexState, and the dropped-index Find path. Assisted-by: Kiro:claude-opus-4.8 Signed-off-by: Daria Korenieva <daric2612@gmail.com> * Address review feedback: TLS ServerName/CA, Find nil-check, config fail-fast Addresses external review comments on the valkey-store backend: - StoresFind now rejects a nil/empty query Key before dereferencing it, so a malformed gRPC request can no longer panic the backend. - TLS: derive ServerName (SNI) from the VALKEY_ADDR host so certificate verification works for IP-addressed endpoints, and add VALKEY_TLS_CA_CERT (custom CA bundle) and VALKEY_TLS_SKIP_VERIFY (testing-only) knobs. - Config integer parsing now fails fast on a malformed value (e.g. VALKEY_HNSW_M=1x6) instead of silently defaulting, matching the fail-fast behaviour of the index-algo/distance-metric validation. - Add VALKEY_DB (SELECT n) support for logical-DB isolation. - Cap the human-readable part of a namespace token at 64 chars so a very long model name cannot produce an unbounded key prefix / index name (the appended short hash keeps distinct namespaces collision-free). - Document the KNN-query injection-safety invariant (fields are constants) and why StoresGet uses a single aggregate DoMulti deadline for reads. - Unit tests for the Find nil/empty-key guard, fail-fast HNSW parsing, and VALKEY_DB parsing/validation; docs + .env updated for the new vars. Assisted-by: Kiro:claude-opus-4.8 golangci-lint Signed-off-by: Daria Korenieva <daric2612@gmail.com> * Address review feedback: configure valkey-store via model config richiejp asked that the valkey-store backend take its configuration from a model config rather than process-wide VALKEY_* environment variables, so multiple stores can each have their own Valkey config within one LocalAI process. This removes every env access from the backend and routes config through the model-config seam every other backend uses. - config.go: loadConfig(opts *pb.ModelOptions) now parses the model config `options:` list (key:value strings, split on the first ':') instead of os.Getenv. Option keys mirror the old VALKEY_* names without the prefix (addr, index_algo, distance_metric, ...). Defaults, fail-fast validation and the mandatory client name are unchanged. - store.go: Load threads opts into loadConfig; TLS comments/errors renamed off the VALKEY_* names. - core/backend/stores.go: StoreBackend and NewVectorStore take a *config.ModelConfigLoader, resolve the per-store ModelConfig by store name, and pass its Options (and Backend when unset) to the backend via WithLoadGRPCLoadModelOpts. No config -> default backend + built-in defaults, preserving the zero-config experience. - Endpoints/routes/application: thread the config loader to StoreBackend. - Unit + integration tests: configure via options; the integration test passes addr through the model-config path (VALKEY_ADDR is now only the test harness locating the server). - docs + .env: document the model-config options, drop the env var table. Assisted-by: Kiro:claude-opus-4.8 Signed-off-by: Daria Korenieva <daric2612@gmail.com> * Remove valkey-store informational comment from .env The backend is configured via model config, not env vars — the comment was unnecessary noise in .env. The configuration is already documented in docs/content/features/stores.md. Signed-off-by: Daria Korenieva <daric2612@gmail.com> * feat(valkey-store): gate Load on NamespacePrefix to refuse autoload probing Mirror local-store's pattern: reject model names without store.NamespacePrefix so the model loader's greedy autoload probe cannot bind an arbitrary model name to the vector store backend (the #9287 failure mode). Also adds unit tests for the gate covering: prefixed namespace, prefix alone, unprefixed model name, empty model, and nil opts. Signed-off-by: Daria Korenieva <daric2612@gmail.com> * feat(valkey-store): add username_env/password_env credential indirection Add support for resolving Valkey credentials from environment variables named in the model config, mirroring cloud-proxy's api_key_env pattern. This keeps secrets out of model YAML files and lets distinct store configs each reference their own credentials. Options: username_env / password_env name the env var holding the value. The direct username / password options still work and take precedence when both are set (backward compatible). Includes 5 unit tests and updated stores.md documentation. Signed-off-by: Daria Korenieva <daric2612@gmail.com> * fix: correct rebase artifacts in backend-matrix.yml and Makefile Fix two issues introduced by the conflict-resolution script during the rebase onto master: 1. .github/backend-matrix.yml: valkey-store entries were merged INTO the cloud-proxy entries (duplicate keys in same YAML map items) instead of being separate list items. This broke cloud-proxy Linux builds and the cloud-proxy darwin entry lost its build-type/lang. Fixed by making them standalone entries and restoring cloud-proxy exactly as on master. 2. Makefile: duplicated .NOTPARALLEL and docker-build-backends lines. Collapsed to single lines that are master's current content plus the valkey-store additions. Also adds the three optional pickups from #10801: - /valkey-store in .gitignore (the built binary) - valkey-store row in docs/content/reference/compatibility-table.md - valkey-store line in backend/README.md Signed-off-by: Daria Korenieva <daric2612@gmail.com> --------- Signed-off-by: Daria Korenieva <daric2612@gmail.com> Co-authored-by: Daria Korenieva <daric2612@gmail.com>	2026-07-29 20:12:29 +02:00
walcz-de	2f33d6dee0	docs(gpu): add ROCm 7.x and RDNA 3.5 / Strix Halo (gfx1151) to GPU acceleration guide (#9229) ... * docs(gpu): add gfx1151 / ROCm 7.x and fix ROCm section - Fix typo: "deditated" → "dedicated", "ROCm6" → "ROCm" - Add ROCm 7.x to requirements (alongside ROCm 6.x) - Add Ubuntu 24.04 to tested OS list - Add AMD Strix Halo / gfx1151 section with kernel params, required env vars (HSA_OVERRIDE_GFX_VERSION, ROCBLAS_USE_HIPBLASLT), and Docker Compose example - Add gfx1151 to the list of compiled GPU targets - Add ROCm version column to verified devices table - Add gfx1151 / Radeon 8060S (ROCm 7.11.0) as verified device * fix(docs/gpu): correct gfx1151 section — env vars, image tag, safety warning - Add all 4 required env vars (HSA_OVERRIDE_GFX_VERSION, ROCBLAS_USE_HIPBLASLT, HSA_XNACK=1, HSA_ENABLE_SDMA=0) with descriptions in a table - Fix Docker Compose example to use the ROCm 7.x image tag (-gpu-hipblas-rocm7), not the ROCm 6.x image - Add explicit warning: GGML_CUDA_ENABLE_UNIFIED_MEMORY must NOT be set (even =0 activates hipMallocManaged due to getenv != nullptr check) - Add --force-recreate note (docker restart does not update container env) - Add tested hardware note (Geekom A9 Mega / Ryzen AI MAX+ 395) * docs(gpu): single ROCm image — drop -rocm7 tag suffix Per maintainer feedback on PR #9229: there is only one ROCm/hipblas main image, and it ships with ROCm 7.x by default — no separate -rocm7 tag. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>	2026-07-29 20:09:52 +02:00
localai-org-maint-bot	ecdb32193d	docs(proxy): cover long inference timeouts (#11065) ... Document the reverse-proxy settings needed for long-running and multimodal requests, and distinguish edge-generated 504 responses from the optional LocalAI busy watchdog. Assisted-by: Codex:gpt-5 [Codex] Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>	2026-07-29 16:37:03 +02:00
Richard Palethorpe	9058a2bb46	feat: Add 3d generation UI/API and trellis2cpp backend (#10979) ... * feat(3d): add Generate3D RPC, FLAG_3D capability, and /v1/3d/generations endpoint Adds the plumbing for image-conditioned 3D asset generation (binary glTF / GLB output), modeled on the video generation path: - backend.proto: Generate3D RPC + Generate3DRequest (staged image src, glb dst, seed/step/cfg_scale/texture_steps, quality and background enums, params map for backend-specific extras) - pkg/grpc: thread Generate3D through client, server, embed, base and the backend interfaces; connection-evicting and distributed-node wrappers (in-flight tracking + file staging) included - core/config: FLAG_3D usecase (guessed only for the trellis2cpp backend), '3d' canonical usecase string mapped to the Generate3D method, and a '3d' output modality - REST: POST /v1/3d/generations (+ unversioned alias) returning OpenAIResponse with a /generated-3d URL or b64_json; conditioning image accepted as URL, base64, or data URI; quality/background validated at the edge; .glb served as model/gltf-binary - auth: '3d' route feature (default ON); /api/instructions entry Assisted-by: Claude:claude-fable-5 [Claude Code] Signed-off-by: Richard Palethorpe <io@richiejp.com> * feat(trellis2cpp): add the trellis2.cpp image-to-3D backend Wraps localai-org/trellis2cpp (C++/GGML port of Microsoft TRELLIS.2, pbr-textures branch) as a Go+purego backend, following the stablediffusion-ggml pattern: - backend/go/trellis2cpp: purego bindings to the flat C ABI (v9, asserted at startup), eager pipeline load with model-set validation (refuses non-trellis GGUFs; degrades coarse/geometry-only/textured exactly like the upstream demo), Generate3D via t2_generate + t2_bake_glb writing a binary glTF to dst. Weight-free unit tests cover resolution/validation/param mapping — CI never downloads the multi-GB GGUF set or runs inference. - CPU SIMD variants build into per-variant directories (the shared libggml sonames collide across variants, unlike sd-ggml's flat renamed-.so scheme); run.sh picks one via /proc/cpuinfo. - CI wiring: backend-matrix entries (cpu, cuda12/13, vulkan amd64+arm64, l4t, l4t-cuda13, darwin metal), index.yaml meta + latest/master image entries, bump_deps tracking of the pbr-textures branch, changed-backends.js mapping, top-level Makefile targets. - Importer: auto-detects trellis GGUF repos/URIs (registered before llama-cpp so the .gguf match isn't stolen) and expands any trellis URI to the full 10-file component set spanning the three LocalAI-io HF repos. - Gallery: trellis2-4b (full PBR + 1024 cascade) and trellis2-4b-geometry (512 untextured) with verified sha256s. Assisted-by: Claude:claude-fable-5 [Claude Code] Signed-off-by: Richard Palethorpe <io@richiejp.com> * feat(ui): 3D generation page with native GLB viewer and IndexedDB history Adds a Studio tab + /app/3d page for the new image-to-3D endpoint: - GlbViewer ports the trellis2cpp demo's dependency-free WebGL2 renderer (quaternion trackball, metallic-roughness PBR, ACES, hidden-line wireframe with a bounded index budget) and pairs it with a minimal GLB parser for the two forms t2_bake_glb emits — dense vertex-PBR (linear COLOR_0 + _METALLIC_ROUGHNESS, uploaded as normalized integers) and the opt-in UV-atlas textured form. Parsing happens before any GL so stats and errors render without WebGL2. - use3DHistory stores past generations (params, input thumbnail, and the GLB blob itself) in IndexedDB with keep-newest-20 eviction — GLBs are multi-MB binaries localStorage can't hold — and the page offers a download button for the active GLB. - Wiring: CAP_3D capability constant (FLAG_3D — the exact string /api/models/capabilities serves), threeDApi, router entries, Studio tab, vite dev proxy, en locale keys. - e2e: render-smoke entry plus a focused spec that feeds a real one-triangle vertex-PBR GLB through the parser/viewer and exercises IndexedDB persistence, selection, deletion, and API errors. Assisted-by: Claude:claude-fable-5 [Claude Code] Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(3d): address API correctness and UX issues Keep 3D generation on the LocalAI-specific /3d/generations route and ensure authentication and permissions cover it. Propagate distributed transfer failures, publish a portable ARM64 backend image, honor importer overrides, and align discovery, upload validation, and touch controls. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * feat(3d): add previewable print remeshing Add a single-detail CGAL Alpha Wrap workflow for existing Trellis GLBs, including PBR reprojection, API documentation, tracing, and an in-browser preview before download. Allow the remesh route to enforce its 512 MiB upload cap independently of the smaller global default so generated high-resolution meshes can be processed. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * build(trellis2cpp): centralize remesh dependency pins Assisted-by: Codex:GPT-5 [apply_patch] [exec_command] Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(kokoros): implement Generate3D stub for new proto RPC The Generate3D RPC added to backend.proto for the trellis2cpp backend made tonic's generated Backend trait require generate3_d, breaking the kokoros-grpc build. Return unimplemented like the other unsupported modalities. Assisted-by: Claude Code:claude-fable-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> --------- Signed-off-by: Richard Palethorpe <io@richiejp.com> Co-authored-by: localai-org-maint-bot <bot-opensource@localaisrl.com>	2026-07-29 16:15:04 +02:00
Richard Palethorpe	49ef40a187	feat(classifier/VAD): support voice control on low power devices (#10804) ... * feat(llama-cpp): route Score through the slot loop Score previously bypassed the slot loop with a direct llama_decode: a conflict guard aborted the whole process if scoring raced generation, the config validator had to reject score alongside chat/completion/embeddings, and every candidate re-decoded the full shared prompt. Add SERVER_TASK_TYPE_SCORE to the (patched) upstream server so score tasks are scheduled like any other slot work: generation and scoring serialize naturally, the shared prompt is decoded once per call, and the slot's prompt cache carries the conversation prefix across calls. Context checkpoints at the score boundary and at the cache-divergence point keep SWA/hybrid/recurrent models (e.g. LFM2.5) from re-prefilling the whole prompt per candidate: warm-turn scoring on a 6-option set drops from ~8s to ~0.5s on a desktop CPU. The conflict guard and the validation split are removed; declaring score with generation usecases on one config is now supported and shares the slot cache. Assisted-by: Claude:claude-fable-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * feat(realtime): classifier wire types and pipeline config Wire types and YAML config for realtime classifier mode: sessions carry a localai_classifier extension (options with canned replies/tool calls, softmax threshold, normalization, history trimming, fallback modes, and a deterministic wake-word address gate), mirrored by pipeline.classifier in the model YAML and surfaced in the config-meta registry. The localai.classifier.result server event reports the full score distribution per turn. Assisted-by: Claude:claude-fable-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * feat(realtime): classifier response flow Classifier-mode responses: instead of autoregressive generation, each user turn is prefill-scored against the option list (router.ScoreClassifier prompt/candidate shapes over the Score primitive) and the winning option's canned reply and tool call are emitted through the existing response machinery. Below-threshold turns take the configured fallback (none / canned reply / generate); empty transcripts and unaddressed turns (wake word not mentioned) skip scoring entirely. The scoring probe defaults to the latest user message only — small scorers echo canned replies from prior turns back as the top option otherwise. Built for hardware that can afford prompt processing but not decode: with slot-based Score the option list stays KV-cached across turns, so a turn costs roughly one forward pass over the new words. session_update_error events now carry the validation cause instead of a generic message. Assisted-by: Claude:claude-fable-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(realtime): bound the VAD tick's scan window and buffer retention The VAD tick loop re-scanned the entire input buffer every 300ms and only trimmed it on zero-segment ticks or commits. Audio that keeps producing segments without a committing pause (steady noise a mic pipeline lets through, music, continuous speech) grew the buffer toward the 100MB cap with each tick rescanning all of it — O(n^2), measured at ~3.3ms of silero per buffered second: past ~90s retained, ticks run back to back and pin ~4 cores until the stream stops. Silero's recurrent state only carries a few hundred ms of context, so rescanning old audio buys nothing. Clip the slice handed to the VAD to the largest silence the commit test can need to measure (server_vad silence window or the semantic eagerness fallback) plus a warm-up margin, and rebase the returned segment times so every downstream consumer keeps whole-buffer coordinates. An open turn whose clipped window is all silence now commits (the silence outran the window) instead of being discarded as no-speech. Independently, retain at most 90s of raw buffer, rebasing the live-feed and EOU cursors on trim — this also bounds the previously unbounded VAD-error path. Turn boundaries are otherwise unchanged: no forced commits, no new coordinator states. pipeline.turn_detection.vad_window_sec can widen the scan window; values below the automatic floor are ignored. The tick body is extracted into vadTick so specs can drive turn detection synchronously (same shape as classifySoundWindow); the babble reproduction that pinned 4 cores now plateaus under 10% of one core. Assisted-by: Claude:claude-fable-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(backend): let per-model threads override the global default ModelOptions overrode a set per-model threads value with the app-level --threads whenever the latter was non-zero — and WithThreads defaults it to the physical core count, so it always was. The YAML threads: knob has been dead config: a tiny VAD model could never opt down from the global pool size. SetDefaults already fills an unset per-model value from the app config, which is the intended precedence; resolve threads through a helper that honors it (explicit threads: 0 still means unset). Assisted-by: Claude:claude-fable-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * chore(gallery): single-thread the silero VAD Silero is a ~2MB recurrent model with no exploitable graph parallelism: measured per-call latency is identical at 1 and 10 ORT threads, while every extra pool thread just spin-waits between the realtime loop's frequent tiny inferences. Assisted-by: Claude:claude-fable-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * docs(realtime): classifier mode, VAD scan window, threads precedence Document the realtime classifier mode (options, threshold guidance, wake-word address gate, empty-transcript handling), the VAD scan window and 90s buffer retention (pipeline.turn_detection.vad_window_sec), the per-model threads precedence, and the M3 classifier note in the realtime state-machine design doc. Assisted-by: Claude:claude-fable-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * perf(llama-cpp): score all candidates in one batched decode One scoring call is now a single SERVER_TASK_TYPE_SCORE task: the slot decodes the shared prefix (prompt + longest common candidate token prefix) once, then forks one sequence per candidate off it (metadata-only for the unified KV cache, copy-on-write for recurrent state) and decodes every candidate's unique tail in one llama_decode. Previously each candidate was its own task that restored the boundary checkpoint and re-decoded its full tail sequentially, paying per-candidate task and decode overhead. The context reserves SERVER_SCORE_FORK_SEQS extra sequence ids (and recurrent-state cells) beyond the parallel slots via the new common_params::n_seq_score_forks. Forking requires the unified KV cache (already this backend's default) since per-sequence streams would shrink n_ctx_seq; an explicit kv_unified:false disables forking and Score calls that need it fail cleanly. Candidates beyond the fork/output budget decode in successive chunks. Wire contract and scores are unchanged: per-token logprobs are stitched from the shared region and the forked tails. Verified bitwise deterministic call-to-call and independent of candidate order (no cross-fork leakage via equal-length candidate swap); ranking matches the per-candidate implementation on the drone battery (winner softmax 0.99996 vs 0.99997), and >16-candidate chunking, prefix-of-another and empty candidates all pass. Measured on a desktop CPU: warm /api/score calls 0.52s -> 0.23s; warm realtime classifier turns 196-303ms. The 9-candidate drone turn decodes ~17 unique tail tokens in one batch instead of nine sequential ~220ms checkpoint-restore tasks. Assisted-by: Claude:claude-fable-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(realtime): gate scoring capacity by model usecase Reserve llama.cpp scoring slots only for models that explicitly declare the score usecase, while allowing score to coexist with chat and completion. Reject incompatible unified-KV settings and classifier activation on models without scoring capacity. Propagate application defaults when resolving realtime and preload pipeline stages so unset thread counts are resolved consistently without overriding explicit model settings. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(ci): honor APT mirrors in the prebuilt llama-cpp compile step The builder-prebuilt path installs gcc-14 with apt directly and ignored the APT_MIRROR/APT_PORTS_MIRROR build args the from-source path already honors, so an ubuntu mirror outage broke every arm64 backend build. Pass the args into the stage and run apt-mirror.sh (already in the build context via COPY . /LocalAI) before the apt step. Assisted-by: Claude:claude-fable-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * feat(realtime): classifier argument slots via constrained completion Hybrid classify-then-complete: a classifier option's canned tool call can declare typed argument slots (number | enum | string, with defaults and prompt hints) referenced as "{{name}}" in the arguments template. When the option wins, the slots are filled by a short grammar-constrained completion that continues the exact scoring prompt — rendered by the same cached ScoreClassifier, so the llama.cpp prompt cache is already warm — with the chosen route JSON re-opened at the first slot field. A GBNF grammar pins the field skeleton and frees only the values; temperature 0, a couple dozen tokens at most (~300ms on a desktop CPU for two slots). Slot declarations and hints ride the option descriptions in the shared system prompt, informing scoring and the fill alike at no per-turn token cost. The localai.classifier.result event carries the final arguments and a fill_latency_ms. On inference failure the slots' defaults apply; a slot without a default fails the response (or falls through with fallback.mode: generate). Slot filling requires completion alongside score in the scoring model's known_usecases. Verified end-to-end on the Pi drone demo: "fly forward three meters" in distance mode classifies forward and infers {"distance": 3, "units": "meters"} in ~310ms, and the drone flies exactly 3 units. Assisted-by: Claude:claude-fable-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * feat(realtime): splice filled slot values into classifier replies A classifier option's spoken reply can now reference its tool's argument slots ("Going forward {{distance}} {{units}}."): the values inferred by the slot-fill completion — or the recovery defaults — are spliced into the reply as plain text before it is emitted, so what the assistant says confirms what it actually inferred. Placeholders without a value stay literal, and options without slots are untouched. FillToolArguments now returns the raw slot values alongside the spliced arguments JSON to make the reply templating possible. Assisted-by: Claude:claude-fable-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(realtime): harden classifier slot completion Reserve context for constrained slot filling, size completions from their encoded output, and encode enum grammar literals as valid JSON. Reject empty enum values and cover the failure modes with regression tests. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * feat(realtime): prewarm the classifier scoring prompt on registration Swapping a session's classifier option list (a voice-switched command mode, for instance) made the next turns pay a full re-prefill of the new option-list prompt — measured 2.4s vs 0.3s warm on a desktop CPU, and worse: on hybrid-memory models like LFM2.5, whose state cannot be partially rewound (llama.cpp can only restore checkpoints), *every* probe change re-prefilled from scratch whenever the last checkpoint missed the probe boundary, so even same-list turns intermittently cost full prefills. Registering an option list (pipeline seed or session.update) now fires a best-effort background prewarm: two throwaway scores with distinct probes. The first prefills the new option-list prompt; the second, diverging exactly where per-turn probe text starts, plants the backend's rewind point (KV checkpoint) at the stable-prefix boundary that every real turn reuses. The prewarm hides behind the canned mode-switch reply — by the time it finishes speaking, the cache is warm. Idempotent per option set, detached from the registering request's lifetime. Measured on the drone demo (LFM2.5-1.2B, desktop CPU): first turn after a mode switch 2374ms -> 340ms; intermittent same-list full prefills (1.3-2.1s) all -> under 0.5s. For clients that swap lists frequently, options: [parallel:2] on the scoring model additionally keeps one slot per list via prefix-similarity routing (+26MB RSS, unified KV). Assisted-by: Claude:claude-fable-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * perf(llama-cpp): checkpoint scoring at the caller-declared stable prefix Hybrid-memory models (LFM2.5 shortconv, Qwen3.5 deltanet — where new small models are headed) cannot rewind their state, so any prompt-cache reuse that needs a rewind falls back to a full re-prefill. For classifier scoring that meant every probe change re-processed the whole option-list prompt: the server's checkpoints were placed reactively (at wherever the previous task happened to diverge), so a checkpoint past the next divergence was erased rather than restored — measured as intermittent 2-10s turns on prompts with a 95%+ common prefix. The classifier now computes the probe-invariant prompt prefix once (the byte-wise common prefix of two synthetic probe renders) and declares its length with every Score request; the server maps it to a token boundary and forces a KV checkpoint exactly there on each score prefill. That checkpoint sits at or before every future divergence under the same option list, so it always survives and always restores — repeat scoring costs probe+candidates regardless of how the probe changes. Also: - prewarm reruns on every option-list registration instead of memoizing per list: with boundary checkpoints a redundant rewarm costs two probe-sized decodes, while skipping one after a slot eviction (three lists sharing fewer slots evict in LRU cascades) silently moves a full re-prefill onto the user's next turn - new llama.cpp backend option rs_seq:N exposes bounded recurrent-state rollback outside speculative decoding; measured impractical for deltanet-scale states (65GB for 64 snapshots on Qwen3.5-4B) but cheap insurance for small-state models - docs: the multi-list recipe (parallel:N + sps:0.5 — the default slot similarity threshold funnels distinct lists onto one slot) Measured on the drone demo (LFM2.5-1.2B scorer, desktop CPU), steady state: every turn 285-421ms including mode switches, vs 2.4s post-switch and intermittent 1.3-2.9s re-prefills before. Assisted-by: Claude:claude-fable-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(realtime): align classifier cache guidance Document the single-score prewarm behavior and clean the vendored score patch formatting. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(llama-cpp): guard score task for fork backends TurboQuant and Bonsai reuse the primary gRPC server against llama.cpp forks that do not carry LocalAI's slot-based Score patches. Compile the Score integration only for the patched primary backend and return UNIMPLEMENTED from fork builds instead of referencing absent task types and common_params fields. Assisted-by: Codex:gpt-5 [gh] Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(dev): generate gRPC code before commit lint The coverage phase regenerates ignored protobuf bindings, but lint runs first and can fail against missing or stale output. Generate the pinned bindings before lint so the gate always type-checks the current schema. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> --------- Signed-off-by: Richard Palethorpe <io@richiejp.com>	2026-07-29 12:50:22 +02:00
localai-org-maint-bot	8f9184fbb2	feat(cli): support systemd socket activation (#11169) ... * feat(cli): support systemd socket activation Serve the API from a single stream listener inherited through the systemd activation protocol while retaining the existing address bind path when no listener is provided. Validate activation metadata, preserve the public-bind safety check, and document an on-demand systemd setup. Assisted-by: Codex:gpt-5 * fix(cli): satisfy listener cleanup lint Make the best-effort close explicit so errcheck accepts the deferred systemd listener cleanup. Assisted-by: Codex:gpt-5 [golangci-lint] --------- Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>	2026-07-29 01:44:24 +00:00
localai-org-maint-bot	034df6ceb1	fix(worker): report RAM alongside GPU memory (#11167) ... * fix(worker): report RAM alongside GPU memory Assisted-by: Codex:gpt-5 * feat(ui): show worker RAM on node views Assisted-by: Codex:gpt-5 --------- Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>	2026-07-28 23:55:35 +02:00
walcz-de	4b4faa4ac7	feat(cloud-proxy): optional Anthropic prompt-cache breakpoints in translate mode (#11158) ... The Anthropic translate provider builds the upstream request from scratch and never emitted cache_control, so prompt caching was impossible for OpenAI-format clients routed through cloud-proxy — even though the entire system prompt + tools prefix is re-sent on every agentic turn. Add an opt-in cache_prompt flag (ProxyOptions.cache_prompt; model YAML proxy.cache_prompt: true). On a translate+anthropic model, buildAnthropicRequest injects cache_control:{type:ephemeral} on the stable prefix — the system block, the last tool, and the last message block (at most 3 of Anthropic's 4 allowed breakpoints). Anthropic then serves the repeated prefix at the cache-read rate (0.1x input) on subsequent calls, cutting cost on multi-turn/agentic workloads. No effect in passthrough mode, for non-Anthropic providers, or when unset. System is widened to any so it can carry the block form required to attach cache_control, while still marshalling as a bare string when caching is off. Adds a unit test asserting exactly three breakpoints when on and none when off, and documents the option in docs/content/operations/cloud-proxy.md. Assisted-by: Claude:opus-4.8 Signed-off-by: stefanwalcz <stefan.walcz@walcz.de>	2026-07-28 17:38:14 +00:00
mudler's LocalAI [bot]	0f7186f214	feat(ui): replace the stacked operations bar with a one-line strip and an Activity page (#11163) ... * feat(ui): record finished gallery operations in a bounded history ring The operations panel drops an operation the moment it succeeds, so a user who steps away cannot tell whether an install finished, failed or was never started. OpCache now keeps the last 50 terminal operations, recorded from the point where an op leaves the cache. Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * test(ui): pin the history ring's dedupe, outcome order and start stamp Review of the history ring found four gaps. The dedupe guard and the bounded seen set were unreachable through the exported API and so had no coverage; an in-package spec file now drives opHistory directly. The outcome switch claimed an ordering was load bearing that nothing pinned, so an errored op that never reached Processed now has a spec. Two behaviour fixes come with it. StartedAt was the zero time for ops recovered from the store or replicated from a peer, since neither path stamps a start time, which would have rendered as a two-millennia duration; it now falls back to the finish time. Reusing a cache key with a fresh job ID orphaned the previous stamp, so Set and SetBackend now drop it. The comment on the outcome switch described a state the code cannot be in: CancelOperation sets Cancelled and Processed synchronously before the handler removes the entry, so status.Cancelled already covers the cancel endpoint. The !Processed clause stays for the dismiss endpoint firing on an in-flight op, and the comments now say so. Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(ui): record operations that end on a peer replica The NATS end event is the only signal a replica gets for an install another replica ran. Record from applyEnd too, deduped by job ID so the originating replica does not record its own broadcast twice. Three start-stamp defects in the same path go with it. applyEnd now drops the stamp unconditionally, since recordTerminal only cleans up on the path where it found a cache key and an end event can overtake the local Set. applyStart drops the stamp of the job whose cache key it replaces, which a peer-driven retry previously stranded. And recordTerminal reads the stamp once instead of testing Exists and then reading, so a concurrent record for the same job can no longer delete the stamp between the two and let the zero time overwrite the finish-time fallback, which the Activity page would render as a two-millennia run. Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(ui): do not guess the outcome of a peer operation with no local status A replica that restarts mid-operation hydrates its OpCache keys from PostgreSQL, but gallery statuses are in-memory only and come back empty. The end broadcast then landed on recordTerminal's nil-status branch, which reads a missing status as queued-and-removed and filed a successful install as cancelled. That reading is right locally and wrong on the peer path, where a missing status means the outcome was never held here. recordTerminal now takes the source of the terminal event and records nothing when the peer path finds no status, restoring what the replica did before the end event started recording. The local path is unchanged. Also move the ApplyEndForTest seam to the conventional export_test.go, and stop the dedupe spec from claiming to guard the ring's seen set: the local delete removes the status keys, so the broadcast that follows returns before reaching it. An in-package spec that calls recordTerminal twice does the pinning. Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(api): add GET and DELETE /api/operations/history Admin gated like the rest of the operations API. The live /api/operations payload is unchanged so the one second poll stays small. Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(ui): expose operation history through OperationsContext Fetched on demand and when the live list shrinks, never on the one second poll interval. Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(ui): detect operation departure by identity and ignore committing ops in the ETA gate Refetching history on a shrinking live count missed a completion that coincided with a start, which is the common case during a batch install. Track the live job IDs instead, so any departure triggers the refetch regardless of how the count moved. An operation that has finished downloading stays live at currentBytes == totalBytes for the whole commit and install phase and can never produce an estimate, so counting it in the all-or-nothing gate blanked every other operation's time remaining for as long as it lasted. Only operations still moving bytes get a vote. Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(ui): let only downloading operations gate the time remaining estimate Verifying pins an operation flat below its total for the whole sha256 pass: the AfterDownload hook reports completedBytes plus the finished file against a total summed over every file, then hashes synchronously without emitting progress. Files download sequentially, so a 15 shard model enters that window 14 times, and a byte comparison cannot see it because the counter is genuinely below the total throughout. Gating on phase closes resolving, verifying, committing and persisting in one predicate, so a quiet neighbour no longer blanks every other operation's estimate for minutes at a time. The byte clauses stay: a producer can report downloading with bytes already at the total. Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(ui): collapse the operations bar to a single line Four concurrent installs used to take four rows above every page. The strip now shows one operation, failure first, with a counter linking to Activity. The close button hides the strip and no longer cancels an install. Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(ui): keep the operations strip from widening the page and from muting a failure A long install error made the strip report a 1600px minimum width, which sized main-content to fit and gave every page under it a horizontal scrollbar. Inline-size containment plus shrinkable detail and bytes cells keep it inside the viewport. Hiding is no longer able to swallow the hidden job's own failure, a completed removal or staging says so instead of claiming an install, a cancelling operation renders as cancelling, and the live region no longer covers the per-second percentage. Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(ui): shrink main-content instead of containing the strip, and expose progress min-width on .main-content is what actually lets a long install error shrink, and unlike inline-size containment it has no browser support floor and no latent collapse if the strip ever lands in a shrink-to-fit context. It matches what .app-layout-chat .main-content already does, and it clears pre-existing horizontal overflow on narrow viewports as a side effect. The progress track is now a labelled progressbar, so assistive tech can read the value on demand rather than losing it to the aria-hidden that stopped the live region re-announcing every poll. Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(ui): add the live operation card for the Activity page Carries the detail the one-line strip has to drop: phase, bytes, the per-node breakdown for cluster installs, and a labelled Cancel button. Cancelling is destructive, so it gets a labelled button rather than a glyph. A cancelling operation drops its progress bar and its time estimate, the same call the strip makes: a percentage still climbing under "Cancelling" reads as the cancel not having taken. Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(ui): give the operation card a verb, live node disclosure and its per-node detail The card carried no verb, so an install, a removal and a staging op rendered as spinner plus name plus kind tag and were indistinguishable. It now runs the same verb and icon chain as the one-line strip, which is what stops the page that is meant to carry more detail from carrying less. The auto-expand default was evaluated once at mount. An operation is listed as soon as it is admitted but its nodes are filled in only when the fan-out starts reporting, so a card mounted at creation latched on the empty list and stayed collapsed. The default is a live expression now, and state holds only an explicit choice. Also: an optional onRetry gates a Retry button, so the page can own the install reconstruction without the card ever showing a control with nothing behind it; the disclosure moved above the region it controls and gained aria-controls; the toggle is gated at more than one node so the count is never "1 nodes"; an unmapped node status is passed through instead of being relabelled "Queued"; error text is clamped with the full string in the title; and file_name plus the per-node progress bar are rendered again, reviving three CSS rules that had gone dead along with the detail they styled. Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(ui): add the Activity page Live operations, unacknowledged failures and the record of what finished, at /app/activity in the Operate console. Cancelling an install now lives here behind a labelled button rather than on the strip, and a failed install can be retried: the retry dismisses the failure first so it still reaches the record, then reissues the model, backend or node-scoped backend install. The sidebar Operate entry carries the operation count. The console rail is only rendered on an Operate route and can be collapsed, so a badge there could vanish while operations were still running. Two follow-ups from review fold in here: a failed removal or staging job no longer reports a failed install on either the card or the strip, and the card's error text can shrink so one unbroken token cannot widen the card. Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(ui): dismiss operations by job, and stop the Activity page contradicting itself Dismissing resolved the job by display id, but /api/operations strips the "node:<nodeID>:" prefix before emitting, so a local install and a node-scoped install of one backend arrive as two jobs sharing one id. Dismissing by id retired whichever came first. That defeated the guarantee retry was built around: with the wrong job dismissed, the reinstall overwrote the acted-on failure's opcache entry in place, bypassing recordTerminal, while an unrelated failure vanished from Needs attention. dismissFailedOp, the card's dismiss control and the strip now all pass the jobID, which is what the endpoint takes. A filter matching nothing rendered the "nothing has ever run" empty state while the header counted the records the filter had hidden. The empty state is now gated on the All chip and a narrowed view gets its own message plus a way back; the header counts the instance rather than the chip, so selecting Backends no longer reports "Nothing running" over running model installs. Also: the summary drops a zero clause instead of rendering "0 needs attention" on the happy path and pluralises both counts; a record duration is floored at "< 1s" and rejected above a day, so a zero-value start stamp cannot render a span of millennia and a zero span cannot render "installed in" with nothing after it; a deletion cancelled mid-flight reports the cancellation rather than claiming it was removed; and the retry variant comment names the fix instead of calling the gap closed. Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: document the Activity page and the operations history endpoints Adds an Activity page under Operations covering the one-line operations strip, the /app/activity sections and filters, per-operation cancel, retry and dismiss, the in-memory 50-entry record, and the sidebar count. Documents GET and DELETE /api/operations/history, and fills the gap in the admin-only endpoint list, which also omitted the pre-existing POST /api/operations/:jobID/dismiss. Corrects the distributed-mode install-watching section: the per-node breakdown now lives on the Activity page rather than on the strip, which rolls a fan-out up into a single phrase. Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: correct nine details in the Activity page documentation The operations strip never renders a file name: its detail line is the error, the node roll-up, the target node, the phase or the queued note. Drops the stale clause in the distributed-mode section, where the per-node bullet is now the only place a file name is described. Scopes the phase vocabulary to artifact-backed gallery models, since a plain GGUF install emits no phase. Corrects the per-node list: the toggle exists for any fan-out of two or more workers and the four-node threshold only governs whether it starts open, while the N nodes tag needs more than one node. Notes that a cancelled operation can sit in the live section reading Cancelling, that cluster staging never reaches the record, and that Clear history appears only when the record has something in it. Names the operations response envelope, with a JSON example, so callers do not index a bare array, and stops describing the icon-only dismiss control as a labelled button. Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: drop the unreachable Cancelling state and scope the byte claims An operation can only report isCancelled while it is unprocessed, but every writer of Cancelled sets Processed in the same breath, on the peer path as much as the local one, and the cache evicts cancelled entries before the handler sees them. The state cannot reach the page, so the live section is described again as running or queued operations. Byte counts come from the artifact bridge alone, the same producer as the phase, so a plain GGUF install, a removal and a backend install report none. Scopes both to artifact-backed gallery models and leaves the verb, the name and the percentage as what every operation shows. A worker backend install reports its bytes through fields the operations payload does not carry, so the distributed section now describes the percentage and the node roll-up, with per-file counts pointed at the per-node detail. Also: staging jobs carry no error, so they never reach Needs attention and Retry never had a staging case to exclude; an install that involves workers is no longer called node-scoped, which this page uses for node-targeted installs; and the record timestamps carry nanoseconds. Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: state only the verb and the name as unconditional on the strip The percentage is as conditional as the bytes were: it renders only for a running operation that has reported progress, so a queued operation, a failed one and a removal never carry it. A removal in particular sits at progress zero for its whole visible life, since the delete path reports none and its completion is filtered out. Both the strip and the card paragraphs now lead with what always shows and list the rest as conditions. The Cluster chip matches on a node list that finished operations do not carry, so a fan-out install leaves the chip once it reaches the record. Scoped that claim to the live sections. Two more of the same shape, found by re-reading each clause alone: the strip also appears for a failure, which is not running, and the four-second hold only applies when nothing replaces the operation that just finished. Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(ui): stop reporting a cancelled install as installed, and make queued real Three defects that all trace to one root cause: `isCancelled: true` is unreachable from /api/operations. Every writer of Cancelled=true also sets Processed=true, the handler skips Processed && Cancelled, and OpCache.GetStatus evicts a cancelled op before the handler iterates it. Cancelling the last running operation put a green "Installed model X" on the strip for four seconds: the completion hold was guarded by `!previous.isCancelled`, which is dead. A cancellation deletes the operation server side, so the strip sees exactly what it sees on a completion, and nothing in the payload separates the two. The signal now comes from the side that issued the cancel: the operations context remembers the job IDs it cancelled (pruned after a minute) and the strip asks before it holds anything. A cancelled operation goes as soon as it stops; the record already reports it as cancelled. isQueued was set only when the gallery status was missing, but markQueued publishes a "queued" status at admission, so a queued op has a status for its whole queued life and the state was unreachable outside a microsecond window. Every operation waiting behind a running install rendered as "Installing model X" with a spinner. The queued phase is now the signal, via an exported PhaseQueued and a nil-safe OpStatus.IsQueued() next to the writer. With those two fixed, the Cancelling state has no way to be entered: cancelling is instantaneous from the API's point of view. Its branches, CSS, locale key and the isCancelled field itself are removed rather than left for a future reader to assume they work. Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(ui): keep a removal a removal, and say what an install is doing OpStatus.Deletion was set once, at admission, and lost on the next status write: UpdateStatus replaces the whole status and only carried Nodes forward. Every later writer (the worker's first write, the progress ticks, the failure path) leaves the field at its zero value, so the flag survived only the queued window, and both surfaces test isQueued first. The reachable consequence is that a failed removal reported itself as a failed install, which is exactly the shape the Activity page offers Retry for, and Retry installs: pressing it on a removal that failed re-downloaded the model. A running delete also rendered as "Installing model X" with a spinner, and a successful one as "Installed model X". Carry Deletion forward the way Nodes already is. A job is a delete or an install for its whole life; an unset flag means "no new information", not "this is an install". Pinned by Go specs on both the service and /api/operations: the existing Playwright specs were green only because they stubbed a payload the server could not emit. Also restore the operation's own status message on the Activity card. Phases and byte counters exist only on the managed-artifact path, so a legacy files: gallery model and every backend install rendered a sub-row with nothing in it but the verb. The strip stays terse on purpose. And give the strip's name a min-width floor: overflow: hidden zeroes its automatic minimum, so a long error squeezed the name down to "mod…" and the identity of the thing that broke was the first thing lost. primaryOperation is made module-private: its comment claimed the Activity page selected the same operation, but that page shows all of them, partitioned into failed and running, and never imported it. Assisted-by: Claude Code:Opus 5 [Read] [Edit] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(activity): read the operations record from PostgreSQL The Activity page's record of finished installs and removals was a 50-entry in-memory ring per frontend replica. In distributed mode that is the wrong place for it: each replica keeps its own copy, a replica added by a scale-out or a rolling deploy starts empty and never backfills, and "Clear history" clears only the replica that served the request, so the record reappears on the next poll routed elsewhere. The data is already in gallery_operations. Read it from there. GalleryStore gains ListTerminal and ClearTerminal, sharing a lifted terminalStatuses set with CleanOld so there is one definition of "finished". ListTerminal orders by updated_at, when the operation reached its terminal status, because the record reports what finished and when. OpCache.History and ClearHistory dispatch on whether a store is wired, so the HTTP handlers and the OpRecord JSON shape are unchanged and the page needed no change. A failed store read falls back to the local ring rather than blanking the page, and ClearHistory empties the ring as well so a database blip cannot resurrect a record the admin just cleared. The name derivation in recordTerminal is lifted into operationDisplayName and used by both paths, so the ring and the store cannot name the same operation differently. Also fixes a pre-existing bug the store path made visible: the backend channel hardcoded op_type "backend_install" even for a removal, while the model channel derives model_install/model_delete from op.Delete. Both channels carry the same ManagementOp, whose Delete field the backend handler already branches on, so the backend channel now derives backend_delete the same way. Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(activity): keep a cancelled operation cancelled, and report a failed clear Review follow-up on the store-backed Activity record. A cancelled install was recorded as a failure. The cancel handler persists "cancelled" synchronously, then the handler goroutine unwinds with the context error and Start hands that to updateError unconditionally, which overwrote the row with "failed: context canceled". The page rendered a cancelled install as a red failure card offering Retry, with a raw context error as the reason. Fixed in GalleryStore rather than in Start, because an operation finishes once and the paths that retire one are not mutually exclusive: UpdateStatus now refuses to rewrite a row that already reached a terminal status. That also pins updated_at to when the operation really finished, which is the key the record is ordered by, and Create's upsert now freezes the same columns so a worker dequeuing an operation the admin cancelled while it was queued cannot reopen it as pending. ClearHistory returned nothing, so a failed delete logged a warning while the handler still answered 200. The admin watched the record clear and come back on the next fetch with nothing said about why. It now returns the error, the DELETE handler answers 500, and the store is cleared before the local ring so a failure leaves the fallback record intact rather than faking an empty one. Hydrate is the only reader that decides from op_type whether an operation is a removal, and it tested for "model_delete" exactly, so the backend_delete added in the previous commit hydrated as an install: a replica restarting during a backend removal rendered "Installing backend X". Both discriminations now go through IsDeleteOpType/IsBackendOpType so a fifth op_type cannot silently read as an install in whichever consumer was missed. Also: the backend channel now persists Cancellable as !op.Delete, matching the model channel; IsBackend falls back to the op_type prefix, since is_backend_op is only written by UpsertCacheKey and the rows needing the name fallback were reporting backend operations as models; and an unrecognized terminal status is logged rather than quietly filed as a success, which is what the comment already claimed. Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(activity): keep a reaped operation correctable by its real outcome The terminal-status freeze added in the previous commit was too wide. It froze "failed" alongside "completed" and "cancelled", and the stale reaper writes "failed" onto operations that are still going to run. The gallery worker is a single goroutine consuming both channels serially, so an operation queued behind a large download sits in "pending" with nothing bumping updated_at, and ReapStaleOperations gives up on it after 30 minutes. That used to be self-healing: the worker dequeued it, Create reset the row to "pending", and the operation reported its real outcome. With the freeze the row stayed "failed" forever while the install ran and succeeded underneath it: a red failure card offering Retry for a model that is installed, omitted from ListActive so no replica hydrates it, and no longer deduped cluster-wide by FindDuplicate. Freeze on ("completed", "cancelled") instead. That is all the cancelled-install fix ever needed, and it leaves a failure correctable by what actually happened. The set is separate from terminalStatuses, which ListTerminal, ClearTerminal and CleanOld all still want in full, because the two mean different things: a failure can be superseded by a real outcome, a completion or a cancellation is the real outcome. UpdateStatus now writes the error column unconditionally, so a corrected outcome drops the previous attempt's reason rather than being recorded as completed while still carrying "stale operation reaped" as its error. Also adds the route-level spec for the 500 branch of DELETE /api/operations/history, and trims a comment that credited the persisted cancellable column with more than it survives long enough to do. Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(activity): offer Cancel in the phase that can honour it The cancellable flag was set at both ends of an operation's life and was wrong at both, in opposite directions. A queued operation is cancellable whatever it is. EnqueueModelOp and EnqueueBackendOp select on the operation context, so cancelling one that is still waiting releases the delivery goroutine and abandonQueued retires it: the worker never sees it, nothing is downloaded, nothing is deleted. markQueued nevertheless wrote Cancellable: !deletion, so a queued removal reported cancellable: false and the UI hid the Cancel button in the one window where pressing it both works and leaves no trace. A removal queued behind a large install was stuck there until the install finished. A running removal is not cancellable at all. DeleteModel and DeleteBackend take no context, and modelHandler only checks the operation context after the call returns, so a "cancelled" verdict would land after the model was already gone. Both handlers nevertheless wrote Cancellable: true unconditionally at entry, ahead of the op.Delete branch, offering a Cancel button the server cannot honour. So the queued phase is more cancellable than the running phase, which is the reverse of the usual shape. markQueued now reports true unconditionally, and the handler-entry writes report !op.Delete. Both sites carry a comment saying why, because reading either one alone suggests the other is a bug. GalleryStore.Create keeps !op.Delete: it runs at dequeue, so its value already describes the running phase. Its comment now says so. Specs cover queued removal, queued install, running removal and running install through the handlers, plus the queued-removal case through /api/operations where the flag is consumed, plus the behaviour the whole asymmetry rests on: a removal cancelled while queued never reaches the worker and deletes nothing. No existing spec asserted the old values. Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Write] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(activity): clamp the installer message, and add a real-binary e2e spec Running the page against a real local-ai showed the legacy installer message wrapping to three lines and dominating the card: it embeds an absolute file path, so it is both long and a single unbreakable token. One line, ellipsised, full text in the title, matching what the error string already does. The spec that found it runs with no route stubbing at all. Every other spec here stubs /api/operations, which is how a payload the server cannot emit (isDeletion true on a live operation) stayed green through a full review while the UI rendered a removal as an install. It is skipped unless LOCALAI_REAL_BINARY is set, so CI is unaffected. Assisted-by: Claude Code:claude-opus-5 [Read] [Edit] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>	2026-07-28 19:33:48 +02:00
localai-org-maint-bot	823fc25bb7	fix(kokoro): add CPU backend fallback (#11161) ... Publish the existing Kokoro CPU profile for amd64 and arm64 and use it as the default gallery capability so Vulkan-only and CPU hosts can install the backend. Assisted-by: Codex:gpt-5 Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>	2026-07-28 18:02:39 +02:00
Tai An	53006bb8e1	fix(realtime): accept legacy 'modalities' alias for output_modalities (fixes #11103) (#11104) ... * fix(realtime): accept legacy 'modalities' alias for output_modalities OpenAI's Realtime *beta* used the field name `modalities`; the GA field is `output_modalities`. LocalAI only binds `output_modalities`, so a client sending the still-common beta field `modalities: ["text"]` has it silently dropped by encoding/json and the session falls back to audio: TTS runs and the client receives large response.output_audio.* frames even though it asked for text-only. Accept `modalities` as an alias on both session.update (RealtimeSession) and response.create (ResponseCreateParams). The GA `output_modalities` wins when both are present, so GA clients are unaffected. Applied at the two existing resolution points via a small modalitiesWithAlias helper. Fixes #11103 Signed-off-by: Anai-Guo <antai12232931@anaiguo.com> * test(realtime): add JSON-boundary regression for modalities alias Decode representative session.update and response.create payloads that carry only the legacy beta `modalities` key and assert the effective output modality resolves to text (not audio), reproducing the exact expressions used in updateSession and triggerResponseAtTurn. This guards against a wrong JSON tag or a missed call site letting encoding/json drop the alias silently. Also document output_modalities (and the accepted legacy modalities alias) for text-only sessions in the realtime feature docs. Signed-off-by: Tai An <antai12232931@outlook.com> --------- Signed-off-by: Anai-Guo <antai12232931@anaiguo.com> Signed-off-by: Tai An <antai12232931@outlook.com> Co-authored-by: Anai-Guo <antai12232931@anaiguo.com>	2026-07-26 23:09:30 +02:00
mudler's LocalAI [bot]	4baa36ddd8	feat(backend): vllm-cpp - text-generation backend for vllm.cpp with llama.cpp-parity tool calling (#11100) ... * feat(backend): add vllm-cpp text-generation backend (vllm.cpp) Wrap https://github.com/mudler/vllm.cpp - the LocalAI-team from-scratch C++20 port of vLLM (paged KV cache, continuous batching, prefix caching, safetensors + GGUF loading, no Python at inference) - as a Go gRPC backend over its stable C ABI (ABI v2) via purego. Backend (backend/go/vllm-cpp): - Load -> vllm_engine_load: accepts a .gguf file or a config.json model dir (anything else is refused, satisfying the greedy-probe rule); context_size maps to max_model_len, options block_size/num_blocks/max_num_seqs size the KV cache and scheduler admission. - Predict -> vllm_complete (blocking); PredictStream -> vllm_complete_stream with the per-delta C callback bridged into the gRPC stream. The backend embeds base.Base (not SingleThread): concurrent requests batch continuously in the engine's shared AsyncLLM scheduler. - PredictOptions.Grammar -> the ABI's structured_grammar (GBNF), giving grammar-constrained tool calling at parity with llama-cpp; the ABI also exposes JSON-schema/regex/choice constraints. - Hand-mirrored POD structs with layout locked by unit tests (unsafe.Offsetof vs the C offsets) and a runtime vllm_abi_version gate. - One portable library per platform (vllm.cpp uses per-file SIMD tiers with runtime dispatch), so no avx/avx2/avx512 variant builds. Wiring: - backend-matrix: CPU amd64+arm64 (per-arch + manifest merge), CUDA 12/13 amd64 (120a;121a Blackwell fat binary), L4T arm64 (121a, GB10/DGX Spark - the runtime-proven GPU target), Vulkan amd64, and Darwin arm64 Metal. - backend/index.yaml meta + 12 image entries (latest/development x cpu, cuda12, cuda13, l4t, vulkan, metal); bump_deps registration for the VLLM_CPP_VERSION pin; root Makefile registration; test-extra runs the unit specs (pure Go, no engine build). - Importers: preference-only swaps - llama-cpp (GGUF) and vllm (safetensors) advertise vllm-cpp via AdditionalBackends and emit backend: vllm-cpp without tokenizer templating (the C ABI takes the FINAL prompt; templating and tool parsing stay LocalAI-side). No auto-detect importer. - Docs: backends list, top-level README maintained-engines table, compatibility table. Verified: 20/20 Ginkgo specs against the real pinned engine and Qwen3.5-2B-UD-Q8_K_XL.gguf on CPU - blocking + streaming parity, greedy determinism, stop words, GBNF-constrained generation, and 4 concurrent streams; plus a dlopen/ABI-gate smoke of the built gRPC server binary. Upstream ABI v2 + production structured-output wiring landed as mudler/vllm.cpp@86013f3. Assisted-by: Claude Code:claude-fable-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(vllm-cpp): ride the autoparser code path - engine-side chat templating and tool engagement (ABI v3) The backend now implements AIModelRich (PredictRich / PredictStreamRich) over vllm.cpp's ABI v3 chat entry points, so chat and tool calling ride the SAME code path as the llama.cpp autoparser: the ENGINE renders the model's chat template, decides when a tool call engages, and parses it - LocalAI receives pre-parsed ChatDelta / ToolCallDelta protos exactly as it does from llama-cpp. - With use_tokenizer_template + structured Messages, PredictOptions lowers to ONE OpenAI chat request JSON (messages, tools, tool_choice, sampling, stream_options.include_usage) for vllm_chat / vllm_chat_stream. tool_choice auto lowers engine-side to a LAZY structural-tag decode constraint - free text until the model emits the tool trigger, then the call is grammar-constrained; required/named force a call. Tool output is parsed by the engine's streaming Hermes-style parser; each chat.completion.chunk maps onto ChatDeltas (content / reasoning_content / tool_calls) which the host already prefers over Go-side tag extraction. Without structured messages the plain path (LocalAI templating + optional GBNF grammar) applies unchanged. - The engine resolves the chat template from the GGUF tokenizer.chat_template metadata (or tokenizer_config.json); templates beyond its minja subset - e.g. the full Qwen3.5 namespace()/macro template - degrade engine-side to a Hermes-aware fallback prompt (tools schemas + <tool_call> instruction) with a stderr witness, so structural-tag engagement keeps working. - Importers now emit the same config shape as llama-cpp for vllm-cpp (use_tokenizer_template: true, no-grammar autoparser flow); only the llama-cpp-specific use_jinja option and the vllm-python parser options are dropped. - Pin bumped to mudler/vllm.cpp@aaed7ec (ABI v3 + chat-prompt resolution). Verified against the real engine and Qwen3.5-2B-UD-Q8_K_XL.gguf on CPU: full suite green - blocking chat, streaming deltas concatenating byte-equal to the blocking answer, a REQUIRED tool call returning schema-valid arguments JSON, and an AUTO run where the engine itself engages get_weather and streams parsed tool deltas; plus unit specs for the request lowering, chunk->ChatDelta mapping, and the C struct mirrors (ABI gate now v3). Assisted-by: Claude Code:claude-fable-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(vllm-cpp): ABI v5 - engine-side parser selection for 30 tool dialects + reasoning Bump the vllm.cpp pin to the autoparser-parity engine: 30 tool-call dialects (every pure-text parser in the pinned vLLM registry, each ported 1:1 with its upstream tests), 7 reasoning parsers, google/minja as the template renderer (the full Qwen3.5 template now renders engine-side), per-family structural tags (tool_choice required/named compiles the model's NATIVE syntax where expressible), and template auto-detection for both parser axes. Backend changes: - cModelParams mirrors ABI v5 (tool_parser + reasoning_parser fields, layout-locked by the offset tests; ABI gate now v5). - New model options tool_parser:<name> / reasoning_parser:<name> pass through to the engine; unset means template auto-detection (18-row tool marker table; [THINK]->mistral, <think>->think_auto for reasoning); "none" disables the reasoning split; unknown names fail the first chat call. - Chat chunks parse the `reasoning` field (the pin renamed reasoning_content), flowing into ChatDelta.ReasoningContent which the host already prefers. Live e2e against Qwen3.5-2B-UD-Q8_K_XL.gguf on CPU, full suite green: the real chat template renders (no more fallback), reasoning auto-detection picks think_auto so markerless answers stay pure content (the live run caught the deepseek_r1 content-swallow upstream and drove the think_auto fix), required tool_choice returns schema-valid arguments, auto tool_choice engages engine-side and streams parsed deltas, and blocking/streaming stay byte-identical. Turn latency also dropped (proper template EOS behavior). Upstream program landed as mudler/vllm.cpp 86013f3..5fffe7e (ABI v2-v5, minja, parser waves B1/B2/B4, reasoning seam, structural-tag registry, think_auto). Assisted-by: Claude Code:claude-fable-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * chore(vllm-cpp): bump the engine pin to the ENG-wave close-out mudler/vllm.cpp@df8909b: the six engine-backed vLLM tool-parser families (qwen3-coder/xml/mimo, kimi_k2, glm45/47, minimax_m2, gemma4, seed_oss) text-reimplemented from their wire formats and held to the upstream test suites - 39 registered dialects; the pinned vLLM registry is now covered except the three Rust/Harmony-backed families, descoped by decision. kimi_k2 also gains a full native structural-tag builder; four new template auto-detection rows land with test-pinned ordering. Full backend e2e re-run green against Qwen3.5-2B-UD-Q8_K_XL.gguf on CPU. Assisted-by: Claude Code:claude-fable-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(vllm-cpp): add the vllm-cpp-development gallery meta The gallery grew the twelve latest/development image entries but was missing the separate vllm-cpp-development meta (own capabilities map targeting the -development image names), which every backend ships so the development gallery resolves per-platform. Validated: all capability targets in both metas resolve to existing entries, and every image URI's tag suffix matches a backend-matrix build. Also full-stack verified in this change's context (single-node local-ai from this branch, locally-built backend under --backends-path, Qwen3.5-2B GGUF): /v1/chat/completions non-stream (clean content + usage), streaming (SSE deltas), tool_choice auto engaging get_weather engine-side with schema-valid arguments and finish_reason=tool_calls, and streamed tool-call deltas in the standard name-first cadence. Assisted-by: Claude Code:claude-fable-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(vllm-cpp): repair the CI backend builds - gcc-14 -Werror + fat-arch Triton Two distinct failures took down all five vllm-cpp backend builds on the PR: 1. gcc-14 (ubuntu:24.04 CI images; the local toolchain is gcc-13) fails the engine build with -Werror=maybe-uninitialized in InputBatch::condense - a false positive through a staging std::optional's raw storage. Fixed upstream (mudler/vllm.cpp@61f3e85) by moving slot-to-slot directly; verified BOTH ways under dockerized g++-14.2 (unfixed reproduces CI's two diagnostics exactly, fixed compiles clean) with the engine's behavior suites green. Pin bumped to that sha. 2. The amd64 CUDA builds died at CMake configure: the vendored Triton-AOT cubin trees are per-arch and the engine refuses -DVLLM_CPP_TRITON=ON on a multi-arch (120a;121a) fat build unless pinned to one tree, which would be unsound for the other arch. Triton is now enabled only on the single-arch arm64/GB10 build (where the cubins matter); the fat amd64 binary uses the engine's non-AOT GDN path. Backend e2e re-run green at the new pin (Qwen3.5-2B on CPU, full suite). Assisted-by: Claude Code:claude-fable-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(vllm-cpp): cuda-12 images cannot compile compute_121a - target 120a only The second CI round surfaced a CUDA-version constraint: the cuda-12 (12.8) image's nvcc rejects 'compute_121a' (GB10 arch support landed with CUDA 13), killing the amd64 cuda-12 build at nvcc. Gate the architecture list on CUDA_MAJOR_VERSION (exported by Dockerfile.golang): cuda-12 builds consumer Blackwell 120a only, cuda-13 keeps the 120a;121a fat binary, arm64/l4t (cuda-13) keeps single-arch 121a with the Triton cubins. GB10 is arm64, so the amd64 cuda-12 image never served it - no capability change. Verified by Makefile dry-run variable dumps for all three combinations (cuda12 -> 120a; cuda13 -> 120a;121a; cpu -> CUDA off). Assisted-by: Claude Code:claude-fable-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(vllm-cpp): drop the cuda-12 variant - the engine needs the CUDA 13 toolchain Third CI round, third layer: with the arch list already narrowed to 120a, the cuda-12 (12.8) build still dies in ptxas compiling the sm_120a NVFP4 MMA kernels ("Vector type too large, exceeds 128 bit limit") - the Blackwell fp4 path genuinely requires the CUDA 13 toolchain, and vllm.cpp supports Blackwell-family GPUs only. Shipping a cuda-12 image without the fp4 kernels would be a crippled build of an engine whose whole GPU story is fp4, so the variant is dropped instead: - backend-matrix: cuda-12 vllm-cpp entry removed (cuda-13 amd64, l4t arm64, cpu, vulkan, metal remain). - gallery: cuda12 image entries removed; the nvidia capability now resolves to the cuda13 image in both metas; the nvidia-cuda-12 key is dropped so older-driver hosts fall back to the CPU image instead of an unrunnable one. - backend Makefile: BUILD_TYPE=cublas under CUDA_MAJOR_VERSION=12 now fails fast with a clear message; cuda-13 keeps the 120a;121a fat binary and arm64/l4t keeps 121a with the Triton cubins. Verified: Makefile branch dumps for all four combinations (cuda12 loud error, cuda13 fat, arm64 121a+Triton, cpu off), YAML parses, matrix filter tests green, gallery capability targets all resolve. Assisted-by: Claude Code:claude-fable-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(vllm-cpp): forward multi-turn tool identity and reasoning to the engine chatRequestJSON dropped Message.ToolCallId and Message.Name on role="tool" replies and Message.ReasoningContent on assistant history, so a second turn after tool execution reached the engine's chat template without the fields that bind a tool result to the call it answers. Forward all three (present-only, matching the OpenAI wire shape) and pin vllm.cpp to 6a0bd3e7, where ChatMessage parses/round-trips tool_calls, tool_call_id, name and reasoning and the minja adapter exposes them to the template context. Adds the round-trip request-lowering spec (user -> assistant tool_call -> tool reply -> lowered request) and re-ran the gated e2e suite against the new engine pin with a real Qwen3.5 GGUF: chat, reasoning split, streaming parity, required-tool and auto-tool cases all green. Assisted-by: Claude Code:claude-fable-5 [Bash] [Edit] [Read] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(vllm-cpp): bump vllm.cpp for the darwin arm64 i8mm build fix The darwin-metal CI job was the first build to compile the engine's arm CPU-quant files on macOS and hit their Linux-only <asm/hwcap.h> / <sys/auxv.h> includes. vllm.cpp 9e1c9025 detects i8mm per-OS (auxv on Linux, sysctl on Apple Silicon) with kernels untouched. Gated e2e suite re-run green against the new pin with a real Qwen3.5 GGUF. Assisted-by: Claude Code:claude-fable-5 [Bash] [Read] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(vllm-cpp): darwin build - bound cmake parallelism when nproc is absent The macOS runners have no nproc, so JOBS evaluated empty and `cmake --build -j$(JOBS)` became bare `-j`: unlimited clang jobs on a 3-core/7GB Mac, which swap-thrashed until the 6h GHA timeout (the log shows "nproc: Command not found" and 7+ concurrent clang processes being reaped at the cutoff). Use the same portable fallback chain as the other darwin backends: nproc, then sysctl hw.ncpu, then 4. Assisted-by: Claude Code:claude-fable-5 [Bash] [Edit] [Read] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>	2026-07-26 23:04:48 +02:00
mudler's LocalAI [bot]	2d889e61a6	feat(backend): add magpie-tts-cpp text-to-speech backend (#11115) ... * feat(backend): add magpie-tts-cpp text-to-speech backend Add a Go + purego backend wrapping the magpie-tts.cpp ggml port of NVIDIA's Magpie TTS Multilingual 357M (encoder + autoregressive decoder over NanoCodec tokens), producing 22.05 kHz mono audio in 5 baked voices (Aria, Jason, John, Leo, Sofia; case-insensitive names or indices 0-4) across 9+ languages from a single self-contained GGUF. Mirrors qwen3-tts-cpp / moss-tts-cpp: dlopen the static-ggml shared library, bind the flat magpie_tts_capi_* C-API via purego (no local C shim needed, the upstream .so exports it directly), and serve the gRPC TTS + TTSStream methods behind base.SingleThread (the C context is not reentrant across synthesize calls). The backend CMakeLists translates the Makefile's -DGGML_{CUDA,METAL,VULKAN,HIP} flags into upstream's MAGPIE_GGML_* toggles (upstream FORCE-overwrites the ggml cache entries from those), pinned to magpie-tts.cpp v0.1.1 (e3f3dd1ebe22b64e7405f93b519f2d1930712568), which statically links ggml into libmagpie-tts.so (ldd shows only system libs). Wires the full registration: backend-matrix.yml (CPU amd64/arm64, CUDA 12/13, Intel SYCL f16/f32, Vulkan amd64/arm64, ROCm, NVIDIA L4T + L4T CUDA 13, and Darwin metal), backend/index.yaml metas and image entries, the root Makefile build targets, the changed-backends backend-filter path mapping, the bump_deps auto-bump matrix, a test-extra per-backend smoke job, the /backends/known pref-only importer entry, the backend capabilities map (TTS + TTSStream, no voice cloning), and the README / compatibility-table docs rows. Verified locally: unit + e2e Ginkgo suites pass against the real q8_0 GGUF (22.05 kHz mono WAV, RMS > 0.01), a live gRPC LoadModel + TTS round-trip returns valid non-silent audio, and the pre-commit gates (make lint, make test-coverage-check) pass, run manually with LOCALAI_TEST_HTTP_PORT overriding the locally-occupied 9090. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * gallery: add magpie-tts-cpp model entries (q8_0 + f16) Add the Magpie TTS Multilingual 357M GGUFs from mudler/magpie-tts.cpp-gguf to the model gallery: q8_0 (~624 MB, near-lossless, fastest decode, recommended) with an f16 (~784 MB) variant, both served by the magpie-tts-cpp backend. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> * magpie-tts-cpp: bump pin to rewritten upstream v0.1.1 SHA Upstream history was rewritten to purge accidentally committed build artifacts; v0.1.1 now resolves to 6f7696cf. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> --------- Co-authored-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Claude Fable 5 <noreply@anthropic.com>	2026-07-25 08:38:48 +02:00
Isabel Wu	977f663cb0	fix(trl): disable inline GRPO reward code by default (RCE, #11015) (#11068) ... fix(trl): disable inline GRPO reward code by default (RCE) POST /api/fine-tuning/jobs accepts reward_functions[].code, an inline Python body, and compile_inline_reward() execs it against a restricted-builtins allowlist (_SAFE_BUILTINS). That allowlist is not a security boundary: ().__class__.__bases__[0].__subclasses__() reaches os._wrap_close and thus os.system, giving arbitrary code execution. The fine-tuning endpoint is unauthenticated by default, so any caller could run code on the host. Hardening the allowlist is a losing game against CPython introspection, so inline reward code is now refused unless the operator explicitly opts in with LOCALAI_TRL_ALLOW_INLINE_REWARD=true on the backend. Builtin reward functions are unaffected. The gate lives in build_reward_functions(), the single point all inline specs flow through. Docs updated to stop describing the allowlist as a sandbox and to document the opt-in. Fixes #11015 Signed-off-by: Isabel Wu <231155141+wuisabel-gif@users.noreply.github.com> Co-authored-by: Isabel Wu <231155141+wuisabel-gif@users.noreply.github.com>	2026-07-23 23:10:34 +02:00
mudler's LocalAI [bot]	6584db992f	fix(nodes): never schedule a model onto a node that cannot store it (#11054) ... * fix(nodes): never schedule a model onto a node that cannot store it A worker whose models filesystem was 100% full kept advertising `status: healthy`, stayed a scheduling candidate, was picked to host a 70 GB video model, accepted the staging request, transferred ~17 GB and only then failed: staging .../whisper-large-v3/model.fp32-00001-of-00002.safetensors: upload to node b7bacbf4-... failed with status 500: writing file: /models/longcat-video-avatar-1.5/...: no space left on device The node was at 937G/937G/0-avail. Total elapsed before the truth surfaced: 16 minutes, for a decision that could never have succeeded. The worker health signal only ever proved liveness. `/readyz` (WorkerReadiness/NATSReadiness) checks the NATS link; `status: healthy` in the registry is driven by heartbeat recency. Node capacity carried VRAM and RAM but no disk figure at all, and the router compared model size against VRAM only — nothing anywhere looked at free space on the filesystem that staging actually writes to. Report it, then use it: - Workers now measure the filesystem backing their MODELS directory (not `/` -- staged weights land in the models path, and that mount is very often separate) and report `total_disk`/`available_disk` on registration and on every heartbeat. Free disk moves faster than VRAM under staging traffic, so the per-heartbeat refresh matters. - The SmartRouter drops nodes that cannot store the model before it picks one. The requirement comes from `modelPayloadBytes` -- the same local paths `stageModelFiles` uploads, already computed for the size-derived load budget -- plus a 5% / 1 GiB margin, rather than a fixed percentage of the node's disk. A percentage threshold would take a small-but-usable node out of rotation for models it could hold, and on a homogeneous cluster would strand every node at once. - When no node fits, scheduling fails immediately with an error naming the requirement and each node's free space, instead of picking one and discovering it mid-transfer. Two deliberate non-changes. Low disk does not mark a node `unhealthy`: the check is per model, so a node too small for one model stays a valid target for smaller ones. And `total_disk == 0` means "does not report disk" (pre-upgrade worker, or a failed stat), not "full" -- such nodes pass through untouched so a rolling upgrade never empties the candidate pool. A genuinely full node is distinguishable: non-zero total, zero available. Registry read failures are logged and scheduling continues unfiltered; a database hiccup must not wedge a cluster. Free space is surfaced on the node detail page next to VRAM, since the incident's signature was a node that looked entirely healthy. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Edit] [Bash] * feat(nodes): make the disk-headroom check operator-controllable The admission check added in the previous commit had no off switch. A scheduler-side veto with no escape hatch is a liability: our size estimate can be wrong (deduplicating or compressing filesystems, a backend that fetches its own weights rather than loading the staged copy), and an operator who hits that has no way out but a downgrade. Add one knob with two surfaces that share a single source of truth: - `--distributed-disk-headroom-check` / `LOCALAI_DISTRIBUTED_DISK_HEADROOM_CHECK` (default true), following the `--distributed-prefix-cache` pattern for a default-on distributed feature. - `distributed_disk_headroom_check` in the runtime-settings registry, so it can be flipped without a restart from `POST /api/settings` and from Settings -> Distributed in the WebUI. Both write `DistributedConfig.DiskHeadroomDisabled`, and the SmartRouter reads that member LIVE on every scheduling decision through a closure over the application config rather than a value snapshotted at construction. Env/CLI sets the boot value, the runtime setting overrides it live, last write wins, and there is exactly one member to read. Snapshotting would have made the runtime toggle a no-op until restart. Disabled means WARN, not SKIP. Selection goes back to ignoring free disk -- byte for byte the pre-check behaviour -- but the check still runs, and when it would have rejected every node it says so, naming the knob that suppressed it. Going quiet when switched off would reproduce the exact condition that made the original incident expensive: a cluster doing something that could not work and saying nothing. Disabling is also logged once at startup. Warning only on the total-rejection case keeps it actionable rather than chatty on a heterogeneous cluster. Also fixes a false positive in the check itself: shared-models mode (LOCALAI_DISTRIBUTED_SHARED_MODELS) stages nothing at all -- every node already mounts this models directory at this path -- so demanding the full checkpoint size of free space per node would have rejected a cluster that needs no new bytes. The check is skipped there entirely. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Edit] [Bash] --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>	2026-07-23 00:03:21 +02:00
mudler's LocalAI [bot]	f317da7c0f	fix(galleryop): make admitted operations queryable and survive a failed op (#11044) ... Two lifecycle defects observed on a 2-replica distributed cluster. The install endpoints mint a job UUID, hand the operation to an unbuffered channel, and answer HTTP 200 immediately. The gallery worker is a single goroutine that processes operations serially, and the first status write happens inside modelHandler/backendHandler — i.e. only once the worker actually starts the work. An operation queued behind a running install therefore had no status at all: GET /models/jobs/<uuid> answered "could not find any status for ID" and GET /models/jobs did not list it, so the endpoint reported success for work nothing could observe. On the paths that sent directly rather than from a goroutine, the same unbuffered channel blocked the HTTP handler for the whole duration of the in-flight install, which is how a replica came to accept no /models/apply at all while /readyz stayed green. Admission now goes through EnqueueModelOp/EnqueueBackendOp, which publish a "queued" status before handing the operation over, so a job ID is queryable from the instant it is handed out. Delivery selects on the operation's context, so cancelling a still-queued operation releases the delivery goroutine instead of stranding it on a send that will never be received, and an operation the worker never accepts becomes a terminal failure rather than a silent leak. The worker also had no panic containment. A panic in any handler propagated out of the single consumer goroutine and killed the process, taking every queued operation with it; it is now contained to the operation that caused it. The two ignored galleryStore.Create errors are logged, and the model and backend delete endpoints now run under the same ID they hand back — they previously ran under an empty ID and returned a status URL for a job that could never have a status. Second, an operation orphaned by a controller replaced mid-download kept reporting phase=downloading, processed=false, error=none while nothing was downloading. The PostgreSQL side does recover on its own (FindDuplicate ignores rows untouched for 30 minutes and CleanStale marks them failed), but the reaper only ever corrected the database. The in-memory statuses map that GET /models/jobs/<id> and /api/operations actually read was never corrected, so every replica kept serving the frozen tick indefinitely. ReapStaleOperations now reconciles the in-memory copy with the reap. Note that operation ownership is still not tracked: gallery_operations has a FrontendID column that nothing writes, so a live operation and one whose owner died are distinguished only by a 30-minute staleness timeout. Narrowing that window needs a lease/heartbeat mechanism and is out of scope here. Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Edit] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>	2026-07-23 00:02:23 +02:00
mudler's LocalAI [bot]	6cee8dee54	docs: ⬆️ update docs version mudler/LocalAI (#11060) ... ⬆️ Update docs version mudler/LocalAI Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>	2026-07-22 23:07:00 +02:00
mudler's LocalAI [bot]	ff299df453	perf(http): gzip responses, cache hashed assets, bound the trace endpoints (#11056) ... Three measured HTTP-layer regressions on a live deployment, fixed together because they all shape the bytes on the wire. 1. No compression. The server sent no Content-Encoding regardless of what the client asked for, confirmed with curl straight at 127.0.0.1:8080 so it was not an ingress artefact. Adds gzip middleware, on by default and configurable via LOCALAI_DISABLE_HTTP_COMPRESSION and LOCALAI_HTTP_COMPRESSION_MIN_LENGTH (default 1024 bytes so tiny bodies are not wastefully wrapped). Streaming routes are skipped explicitly: an SSE Accept header, a WebSocket upgrade, and the completion / SSE / log-tail path prefixes, because whether a completion request streams is decided by the request body, which the middleware runs too early to see. Already-compressed formats (woff2, png, mp4, ...) are skipped too; gzip made those marginally larger. Measured over the embedded React build: JS+CSS 2815 KB raw to 808 KB gzipped (3.48x). 2. No cache headers on content-hashed assets. Vite hashes the filenames, so a given /assets/ URL can never change content, yet they shipped with no Cache-Control, ETag or Last-Modified, and the browser re-fetched the whole bundle on every navigation with no conditional request available. /assets/* now carries public, max-age=31536000, immutable. index.html stays no-cache so a deploy is picked up, and the unhashed locale JSONs get a short TTL rather than the immutable one. 3. Unbounded trace endpoints. /api/traces returned 21,033,606 bytes in 4.65s and /api/backend-traces 3,471,682 bytes in 1.50s, and the admin UI polls both every few seconds. The ring buffer holds up to 1024 entries, each embedding full input_text payloads. Both list endpoints now take limit / offset / full, default to 50 entries, and strip the heavy fields (request and response bodies plus headers for API traces, body and data for backend traces) unless full=true. Every trace gets a process-lifetime ID and GET /api/traces/{id} and /api/backend-traces/{id} serve the full record, which is what the UI fetches when a row is expanded. The list body stays a JSON array; paging metadata rides in X-Total-Count, X-Trace-Offset and X-Trace-Limit. Reproducing the live shape in a test, the polled payload goes from 21,131,097 bytes to 7,201 bytes. Assisted-by: Claude:claude-opus-4-8 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>	2026-07-22 22:51:25 +02:00
mudler's LocalAI [bot]	01fca9c9b2	fix(distributed): scale the remote model-load deadline with checkpoint size (#11030) ... The gRPC deadline for the remote LoadModel call was a fixed 5m. It starts only after the backend install and file staging have completed, so it covers the worker's checkpoint read and pipeline init alone - work whose duration is proportional to the bytes on disk. A fixed value is therefore a model-size cliff, not a timeout. Measured in production: a 70 GB video checkpoint (longcat-video-avatar-1.5) on an NVIDIA Jetson Thor worker failed reproducibly with "rpc error: code = DeadlineExceeded" after 953.5s of wall clock. Backend install plus staging consumed ~11m, then LoadModel got its 5m and expired. The load never had a chance, and the operator saw only a generic DeadlineExceeded with no hint that a config value was the cause. Raising the constant does not fix this. It moves the cliff to the next larger model - the cluster has to support 600 GB checkpoints - and it makes a genuinely wedged SMALL model hang for the whole inflated duration before anyone notices, which is a real regression in failure latency. So derive the budget from the checkpoint size instead: budget = 5m + 20s/GiB, capped at 6h 2 GiB -> 5m40s, 70 GiB -> 28m20s, 600 GiB -> 3h25m. The per-GiB rate is deliberately pessimistic (~54 MB/s of weight read) because the errors are not symmetric: too long costs only failure latency on a load that was going to fail anyway, too short is a guaranteed false failure on a healthy load. The size is measured from the frontend's local model files, over the same path set stageModelFiles uploads. When those files are not present locally - a backend handed a bare HuggingFace repo id fetches its own weights on the worker - there is nothing to measure and the budget stays at today's 5m. An explicit LOCALAI_NATS_MODEL_LOAD_TIMEOUT still wins outright, in both directions: a shorter override is honoured, so an operator who wants fast failure is not silently extended by the heuristic. The cold-load hold needed widening to match. It extends on staging progress, but LoadModel reports none, so once the last byte lands the hold expires a stall window later and would cancel a load still well inside its own budget. scheduleAndLoad now extends the hold by the load budget plus the staging margin as it enters the load phase; ModelLoadCeilingFor stays the hold's starting budget rather than its maximum. Finally, a deadline that does expire now names the budget, the checkpoint size it was derived from, and the knob that overrides it, instead of surfacing a bare "context deadline exceeded". Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Edit] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>	2026-07-22 09:30:23 +02:00
mudler's LocalAI [bot]	48b7d6d8fd	docs: ⬆️ update docs version mudler/LocalAI (#11033) ... ⬆️ Update docs version mudler/LocalAI Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>	2026-07-22 09:26:29 +02:00
mudler's LocalAI [bot]	a4a181d2f7	fix(distributed): count staging verification as progress, not as a stall (#11026) ... Testing the progress-based cold-load deadline on the live cluster surfaced a false positive. The stall window observed UPLOAD bytes only, but the staging path has a phase that does real work while moving zero upload bytes: the resumable-upload verify phase. When a shard is already present on the worker from an earlier attempt, the frontend HEADs it, hashes the local copy to confirm it matches, and skips the transfer. Staging a 70 GB model with 56 GB already staged: 17:27:34 INFO Upload skipped (file already exists with matching hash) ... 17:28:20 INFO Upload skipped (file already exists with matching hash) ... 17:29:07 INFO Upload skipped (file already exists with matching hash) ... ... six-plus consecutive minutes, no bytes uploaded at all ~45s per skipped ~4 GB shard. That is correct and desirable - it is what makes resume work - but it was indistinguishable from a stall. At 45s per shard it sits inside the 5m window, so the run in flight was fine; the problem is the 600 GB scale this machinery exists to enable, where one shard can plausibly hash for longer than the window. The guard would then fire during verification of a transfer that is working perfectly. Verified mechanism: probeExisting() HEADs the worker and then calls downloader.CalculateSHA(). The staging progress callback is only consulted inside doUpload(), which the skip path never reaches, so observeLoadProgress was called zero times for the whole verify phase. Verification exposed a second, worse bug in the same path: CalculateSHA consults no context at all. An expired cold load kept hashing to completion, compared the hashes, and returned success - reporting a file as staged on a dead load. The failure only surfaced on the NEXT file, whose HEAD died immediately. That is exactly the shape of the red test here, which fails on shard 3. Fix: hash in 1 MiB chunks via hashFileWithActivity(), ticking the cold-load deadline per chunk and checking ctx per chunk. A successful HEAD also counts, since a 200 with a content hash proves the worker is serving right now. Counting hash progress does not make a dead transfer look alive: hashing is bounded, terminating work proportional to file size, in probeExisting it runs only after a HEAD proved the worker was up, and the 24h absolute cap still bounds the whole hold. The alternative of simply widening the window was rejected - it would reintroduce the size cliff this work removes. Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Edit] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>	2026-07-21 21:38:54 +02:00
mudler's LocalAI [bot]	b700a78ae4	fix(distributed): make the cold-load hold scale with progress, not wall-clock (#11019) ... A 70 GB video checkpoint (longcat-video-avatar-1.5) could not be loaded on a distributed cluster. The request failed with HTTP 500 after 1499.98s - exactly the 25m00s cold-load ceiling - while staging was demonstrably healthy: 26 of 57 files and 39 GB transferred at a sustained ~26 MB/s, zero errors, no stalls. It was not wedged, it was killed by a timer. ModelLoadCeilingFor covers node selection, backend install, file staging and the remote LoadModel. Install and load carry their own budgets; staging was covered only by a FIXED 5-minute margin. But staging time is bytes over bandwidth, not a constant: 70 GB at 26 MB/s needs ~45m against a 25m ceiling, so the failure is deterministic for any sufficiently large model rather than a flake. Simply raising the constant moves the cliff to the next model size - the deployment target here is checkpoints of 600 GB and beyond. The ceiling's real purpose is that "a wedged worker can never pin the lock indefinitely". Progress, not elapsed time, is what distinguishes a wedged worker from a large one. The hold is now a deadline that extends whenever the transfer reports bytes and expires a 5-minute stall window after they stop: - A large model transferring fine continues, for hours if needed. - A worker that died mid-transfer still fails within the stall window. Progress is observed at byte level on the transfer itself, via the existing staging progress callback. Per-file completion would be too coarse - a single 600 GB shard would be indistinguishable from a stall for hours. The observation point is back-pressured by the socket, so it reflects the network rather than local disk reads. Observation is coarsened to one timer touch per stall/20 so the per-read callback stays cheap. The base budget (unchanged, and still derived from the install and load timeouts) continues to cover the steps that report no progress, so LOCALAI_NATS_MODEL_LOAD_TIMEOUT keeps working exactly as before. An absolute cap of 24h bounds the hold even while progress keeps arriving, so a peer trickling bytes forever cannot pin the advisory lock; 600 GB at the measured 26 MB/s is ~6.5h, so the cap sits far above any legitimate transfer. Also fixes the incoherent layering the same error exposed: the resumable upload carried a 1h retry budget nested inside the 25m ceiling, so the inner budget was unreachable and the message still blamed it ("failed after 1 attempts within 1h0m0s budget") while the 25m parent was the actual killer. The upload now adopts the caller's deadline when there is one, and applies its fixed budget only when nothing above bounded it - which also stops a fixed 1h from reintroducing the size cliff under the now-extendable parent. This is the successor to #10968, where a hardcoded 5-minute LoadModel gRPC timeout was replaced by this derived ceiling. Fixing the inner timeout exposed the outer ceiling as the new binding constraint. Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Edit] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>	2026-07-21 15:34:33 +02:00
Richard Palethorpe	0d2124894e	docs(realtime): fix Opus backend installation (#11018) ... The Realtime guide incorrectly sent the Opus backend through the model gallery endpoint. Point users to the backend gallery API and document the UI and CLI alternatives. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com>	2026-07-21 15:33:55 +02:00
localai-org-maint-bot	1e0baec2a7	fix(ci): repair nightly backend dep bumps for renamed localai-org repos (#11012) ... The "Bump Backend dependencies" workflow has failed every night for over ten days. Four upstreams — ced.cpp, moss-transcribe.cpp, voice-detect.cpp and rf-detr.cpp — moved from the mudler org to localai-org, so the GitHub API answers 301 for the old slugs. ced.cpp additionally renamed its default branch to main. bump_deps.sh fetched without -L or -f and never checked the response, so the redirect's JSON body was passed straight to sed, which died with "unterminated `s' command". The loud failure was luck: an error body without slashes would have been substituted into the Makefile as the new pin, silently corrupting the version and shipping it in a bump PR. Point the matrix at the new slugs and branch, and harden the script so a bad response can never reach sed: follow redirects, fail on HTTP errors, and require a bare 40-hex SHA before rewriting anything. Also refresh the now-stale repository URLs in the backend Makefiles, test scripts, backend/index.yaml and the docs. Verified all 25 matrix entries resolve to a commit SHA and that the four previously-failing jobs run end to end against the real API. Assisted-by: Claude:claude-opus-4-8 [Claude Code] Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>	2026-07-21 09:40:10 +02:00
mudler's LocalAI [bot]	0eb8a1188d	fix(worker): give the worker a real health endpoint and a mode-aware HEALTHCHECK (#10999) ... fix(worker): give the worker a real health endpoint (#10987) The image bakes in a single HEALTHCHECK that curls http://localhost:8080/readyz, but the same image also runs `local-ai worker`, which serves HTTP on the gRPC base port minus one and never binds 8080. Every worker container was therefore permanently `unhealthy` (43 consecutive failures observed on a production node), which is worse than having no healthcheck: a genuinely broken worker and a perfectly good one both report `unhealthy`, so the signal carries no information and orchestration that keys on it misbehaves. The worker already served /readyz on that port via the file-transfer server, but as a constant 200 — it only proved the listener was bound, which is precisely the failure mode at issue. Readiness now tracks the live NATS connection: all of a worker's actual work (backend lifecycle events, inference dispatch, file staging) arrives over NATS, so a worker whose link is dead is up and useless. Registration is already implied, since the server only starts after registration succeeds. This reports something the controller cannot already see. The node registry's status/last_heartbeat is fed by an HTTP heartbeat to the frontend, a different network path from NATS — a worker can keep heartbeating while its NATS connection is dead and still look healthy in the registry. /healthz stays a constant 200: liveness must not follow readiness, or a NATS blip becomes a cluster-wide restart storm. The HEALTHCHECK is now a script that derives its endpoint from the mode the container is actually running plus the env vars that configure the bind address, so a frontend moved off 8080 with LOCALAI_ADDRESS (broken the same way) and a worker on a non-default base port are both probed correctly. Modes with no HTTP surface (agent-worker, one-shot commands) report healthy rather than false-unhealthy. HEALTHCHECK_ENDPOINT remains as an explicit override, so the workaround shipped in docker-compose.distributed.yaml keeps working; both overrides in that file are now unnecessary and have been removed. Also fixes the latent --start-period gap. Since #10949 a frontend's startup preload materializes HuggingFace artifacts before the HTTP server binds (31 GB observed on a live cluster), so a healthy replica can legitimately fail probes for a long time. --start-period is Docker's knob for exactly this: failures inside it leave the container `starting` instead of burning retries, and it ends early on the first success, so a generous 60m costs a fast-starting container nothing. --timeout drops from 10m to 10s — it is a per-probe deadline, and a localhost curl that has not answered in 10s is itself the fault being detected. Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Edit] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>	2026-07-20 23:07:27 +02:00
mudler's LocalAI [bot]	d7e04dcc32	fix(openresponses): make responses visible and cancellable across replicas (#11000) ... In distributed mode the Open Responses store is process-local: a sync.OnceValue over a map behind an RWMutex. With several frontend replicas behind a round-robin load balancer, every request that lands on a replica other than the creator misses. Measured on a live 2-replica cluster (#10993): the same response id returns 200 on the creating replica and 404 on its peer, and a cancel on the peer returns 404 without ever invoking CancelFunc, so generation runs to completion on the other replica while the caller is told the response does not exist. previous_response_id chaining fails through the same lookup. Split the state by what can actually cross a process boundary: - Replicated: response metadata (request, response resource, owner, expiry, stream/background flags) via syncstate.SyncedMap, the same component finetune, quantization and agent tasks already use. A local miss in Get/FindItem now falls back to it and returns a read-only remote view, so polling and chaining resolve on any replica. - Delegated: cancellation. context.CancelFunc is a function pointer and exists only in the creating process, so a cancel that lands elsewhere is broadcast on responses.<id>.cancel and applied by whichever replica holds the function. The broadcast is fire-and-forget rather than request/reply: if the owner crashed or was scaled down nobody answers, and the handler must not block on a reply that will never come. The replicated status moves to cancelled either way, which is truthful, since a dead owner's generation died with its process. - Refused: streaming resume. The resume buffer is a byte log plus a live notification channel and cannot be replicated without shipping every token over the bus. A resume that reaches the wrong replica now returns HTTP 409 naming the owning replica via the new ErrResponseNotLocal, instead of an empty event list that looks like a finished stream. It is deliberately distinct from ErrOffsetLost, which means the owner's buffer evicted the requested events. Standalone deployments never call EnableDistributed and keep exactly the previous process-local behaviour. Fixes #10993 Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Edit] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>	2026-07-20 23:06:33 +02:00
mudler's LocalAI [bot]	83a0f16a21	feat(gallery): let one gallery entry offer several builds of the same model (#10943) ... * feat(system): expose raw detected capability for model meta resolution Model meta gallery entries express hardware fallback through candidate ordering rather than a capability map, so they need the undecorated detected capability string without Capability's default/cpu fallback chain. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * refactor(system): drop duplicate capability accessor, cover DetectedCapability ReportedCapability was added with a body identical to the existing DetectedCapability. Keep one accessor and move the specs onto it, since DetectedCapability had no direct coverage of its no-fallback behavior. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(vram): parse IEC binary size suffixes (KiB..PiB) ParseSizeString accepted only SI suffixes, so a "20GiB" floor was rejected outright. Model and VRAM sizes are conventionally quoted in IEC units, and silently reading GiB as GB would understate a floor by about 7%. Purely additive: these inputs previously returned an unknown-suffix error. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(gallery): add Candidate type for meta model entries Candidate is one option in a meta entry's ordered variant list. It names a concrete gallery entry and declares when that entry suits the host. EffectiveMinVRAM resolves the VRAM floor, letting an authored min_vram win over a nightly-inferred one. An unparseable floor errors instead of being treated as absent: swallowing a typo would turn a constrained candidate into an unconstrained one and select a too-large variant rather than fail loudly. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(gallery): add hardware-aware model variant resolver Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(gallery): allow gallery model entries to declare variant candidates A gallery entry with a non-empty candidates list is a meta entry: it names an ordered list of concrete entries and resolves to the first one the host can satisfy, instead of describing model files directly. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(gallery): resolve meta model entries to hardware-appropriate variants at install Meta gallery entries carry an ordered candidate list; at install time the first candidate the host satisfies is resolved and its payload installed under the meta's name, so the model keeps a stable name regardless of which variant backs it. The resolution is recorded in the installed gallery config so a reinstall honors a prior pin and operators can see the backing variant. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(gallery): key meta pin recall on the installed name and detach resolved entries Six review findings on the meta-entry install path. Pin recall was keyed on the gallery entry name while applyModel writes the record under the install name (req.Name when supplied), so a meta installed under a custom name with a pin lost that pin on reinstall and was silently re-resolved onto a different variant, possibly swapping its backend. Compute the install name with applyModel's own precedence before the recall. ResolveMetaModel returned a shallow struct copy, so the resolved entry's Overrides aliased the gallery entry's map and the install path's in-place mergo merge wrote the caller's request into the shared catalog. Detach Overrides, ConfigFile, AdditionalFiles, URLs and Tags. Not exploitable today only because this path re-unmarshals the gallery per call, which is a property nobody should have to rely on. Also: overlay the meta's name onto the persisted config for meta installs so the gallery file no longer records the variant's name; move the pinned-VRAM warning below the variant validation so a pin naming a nonexistent entry does not warn about VRAM before failing for an unrelated reason; and stop seeding config.URLs in the config_file branch, which duplicated every declared URL. Add seven network-free specs driving InstallModelFromGallery with a meta entry: variant payload wins over the meta's legacy url fallback, the resolution record round-trips to disk, a pin is recorded and honored on reinstall including under a custom install name, and the resolved entry does not alias the gallery's maps. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(gallery): deep-copy meta overrides and make two specs functional ResolveMetaModel detached the resolved entry's Overrides and ConfigFile with maps.Clone, which only copies the top level. Gallery overrides are nested in practice (parameters.model is near-universal) and the install path merges the caller's request with mergo.WithOverride, which recurses into nested maps and overwrites them in place, so the gallery entry's own inner maps were still reachable and still got rewritten by the last caller to install. Copy both maps all the way down instead, recursing through the container shapes a YAML decoder produces. ConfigFile is not mutated on the install path today, but it carries the same kind of nested payload and leaving it shallowly cloned would invite the bug back. Also fix two specs that passed whether or not their target fix was present: - "does not write the caller's overrides back into the gallery entry" re-read the catalog from disk, which re-unmarshals fresh structs and so cannot observe in-memory aliasing. It now asserts against the in-memory gallery entry and drives the real mergo merge. - "round-trips the resolution record to disk under the meta's name" asserted a name that is already correct in the config_file branch. It now drives the url branch via a file:// fixture, where the meta-name overlay actually applies. Both were verified red by reverting their fix. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * test(gallery): lint meta model entry invariants in index.yaml Adds Ginkgo specs that parse the shipped gallery/index.yaml and enforce the invariants that keep meta entries safe: a legacy url fallback equal to the final candidate's url, references only to existing non-meta entries, a min_vram floor on every candidate but the last-resort one, a capability drawn only from the vocabulary the system can report, and descending VRAM floors within a capability group. The capability check is the only compensating control for a typo there. Candidate matching is a case-sensitive exact comparison against SystemState.DetectedCapability(), so an unknown value never matches and falls through silently instead of erroring. The vocabulary therefore mirrors the raw return set of getSystemCapabilities(), which notably excludes "cpu": that is a fallback key inside Capability(capMap) on the meta backend path, never a reported capability. A CPU-only host reports "default". These pass vacuously until the pilot meta entry lands; the guard is intentionally in place before the thing it guards. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * test(gallery): close coverage gaps in the meta entry lint The ordering invariant grouped candidates by capability and asserted floors descend within a group. A candidate with an EMPTY capability matches every host, so it does not belong in its own group: it dominates every later candidate whose floor is at or above its own, across capability groups. Track a running minimum floor over the unconditional candidates instead, which subsumes the old same-group check for the empty capability. Every spec skipped non-meta entries, so with zero meta entries in the index all five bodies were no-ops. Aligning GalleryModel.IsMeta() with GalleryBackend.IsMeta(), whose semantics are deliberately opposite, would have made all of them pass while checking nothing. Extract each invariant into a helper over a slice of entries returning the violations it finds, and cover those helpers with synthetic fixtures so the logic stays tested at zero meta entries. The index-driven specs are now a thin application of already proven logic. Also assert the index parses non-empty, report every violation in one run rather than aborting on the first, and parse the index once for the suite. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * ci(gallery): add nightly denormalization of meta model candidates Fills the read-only backend, quantization and inferred_min_vram fields on meta gallery candidates and opens a PR, modeled on the existing checksum_checker job. Computing these needs network access, so it happens nightly rather than at install time. An authored min_vram is never modified: a human who measured a real load knows more than a pre-download estimate does. The index is rewritten via yaml.Node rather than a document round-trip. A full round-trip reflows all ~26k lines of gallery/index.yaml, which would bury the computed values and make the nightly PR unreviewable. The rewrite touches only the three derived keys, so authored styling survives and a run that computes nothing leaves the file untouched. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(ci): keep the gallery denormalize diff reviewable and self-healing The nightly denormalization job edits YAML nodes instead of round-tripping structs so its PR stays small enough for a human to review, but the write path undid that: yaml.Marshal re-encoded the node tree at yaml.v3's default 4-space indent and dropped the leading document marker, reflowing roughly 6000 lines around the handful of real changes. Encode through yaml.NewEncoder at the index's authored 2-space indent and restore the header. A write that changes three fields now changes three lines. Stale inferred_min_vram values were also never cleared. Both skip paths (an authored min_vram is present, or the candidate is the last resort) returned before touching the field, so a candidate that gained a floor or became the last resort after a reorder kept an inferred value that EffectiveMinVRAM reported as a real constraint, failing the meta lint with no way for the job to self-heal. Clear the field before both skips. The workflow discarded a whole night's work on any single failure: the program exits 1 when a candidate cannot be estimated, which aborted the job before the PR step, so one unreachable candidate blocked every other refresh indefinitely. Capture the status, open the PR with what was computed, mark the PR body as partial, and fail the run afterwards so the problem still surfaces. Also preserve the index's existing file mode instead of forcing 0644, and drop the redundant //go:build ignore tag, since Go already skips dot directories and the sibling modelslist.go carries no tag. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(gallery): add nanbeige4.1-3b meta entry with hardware-resolved variants Adds the first real meta entry to the gallery index. It resolves to the Q8_0 build on hosts with at least 6GiB of VRAM and to the Q4_K_M build everywhere else, installing either payload under the stable name nanbeige4.1-3b. The entry carries a url equal to its final candidate's url. LocalAI releases that predate candidates support parse the index non-strictly and drop the key silently, so without that url they would list the entry and install nothing. A regression spec parses the index the way those releases do and asserts every meta entry stays installable for them. Also teaches core/schema/gallery-model.schema.json about candidates. The schema sets additionalProperties: false at the top level, so an author following CONTRIBUTING.md and adding the yaml-language-server comment would otherwise get a validation error on this entry. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(gallery): make candidate entries complete, installable entries Reworks hardware-resolved gallery variants after a design pivot. There is no longer a separate "meta" entry kind. A gallery entry is a normal, complete entry that may additionally carry candidates:, a list of hardware-gated upgrades over itself, and the entry is itself the last-resort candidate. The previous design relied on a bare url: as the fallback for LocalAI releases that predate candidates support. That fallback is empty in practice: none of the 80 gallery/*.yaml files carry a top-level files:, and 1216 of 1281 index entries carry their payload in the index entry itself, so a url alone yields a config template with nothing to download. Since every released LocalAI reads gallery/index.yaml live from master, merging a payload-less entry would have shown every existing user a model that installs to a broken state. Making the entry its own base candidate removes the problem at the root: old clients drop the candidates key and install the entry exactly as they do today. Resolution order is now explicit pin, then capability plus VRAM over the declared upgrades, then the entry itself. The entry ALWAYS installs: when its own min_vram or capability is unmet the installer warns and installs it anyway, because there is nothing below it and refusing would make the gallery behave worse the newer the client is. A pin naming the entry's own name is valid and is how an operator declines an upgrade. IsMeta() becomes HasCandidates(), ResolveMetaModel becomes ResolveVariant, and the persisted meta_name record key becomes entry_name. GalleryBackend.IsMeta() is a separate concept and is untouched. The lint drops the three rules the pivot makes wrong (url equality with the final candidate, no inline payload, unconstrained final candidate) and gains one: the entry's own floor must sit strictly below every candidate's, since a base that outranks a candidate makes that candidate unreachable. The pilot entry is now the existing nanbeige4.1-3b-q4, which gains a 2GiB floor of its own and a single 6GiB upgrade to nanbeige4.1-3b-q8, replacing the separate nanbeige4.1-3b entry added in d0d441bb4. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(gallery): select model variants by hardware fit, not authored order Gallery entries could already carry a list of alternatives, but selection was an authored, ordered, first-match policy: every candidate declared a `capability` string and the VRAM floors had to descend in a hand-tuned order. That pushed hardware knowledge onto whoever edits the gallery and made ordering load-bearing, so a reordered list silently changed what users installed. None of it was necessary. SystemState.IsBackendCompatible already derives hardware support from a backend name alone: it knows MLX and metal are Darwin-only, CUDA is NVIDIA-only, ROCm AMD-only, SYCL Intel-only. Selection can read that instead of asking authors to restate it. Authoring is now just a list of names: - name: qwen3.6-27b min_memory: 4GiB variants: - model: qwen3.6-27b-mlx-8bit - model: qwen3.6-27b-gguf-q8 min_memory: 28GiB and all the intelligence moved into the selector. Given a host it drops the variants whose backend cannot run here, drops those whose known memory requirement exceeds what the host has, and takes the LARGEST of what is left, because a bigger footprint is a higher quality quantization of the same model. A variant of unknown size is kept, since nothing proves it does not fit, but it ranks last so a proven fit always beats a guess. An explicit pin still wins outright, and if nothing survives the entry installs its own payload: the base always installs, this never refuses. Available memory is VRAM when a GPU was detected and system RAM otherwise, read through xsysinfo so a cgroup limit is honored and a container gets its own limit rather than the node's RAM. Capability disappears entirely, from the types, the schema and the lint. VRAM and RAM collapse into one `min_memory`, because a model's footprint is roughly the same wherever it lives and one figure is compared against whichever applies. The lint rules about ordering, the capability vocabulary and floor relationships are deleted with the hazards they described; what remains is that every variant names an entry that exists and does not itself declare variants, plus that any memory figure actually parses. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * gallery: size model variants with a live probe, drop the nightly denormalizer Selection needs each variant's size to decide whether it fits and to rank largest-first. That figure was written into the index by a nightly job, which made the gallery carry a derived value that could drift from the entry it was derived from. Derive it at install time instead. pkg/vram already sizes a model without downloading it, and the gallery UI already uses it: a remote GGUF header range-fetch, then an HTTP HEAD for the content length, then any declared size:. It caches its results, so reuse it rather than writing a second probing path. A probe failure must never fail an install, so an unprobeable variant is treated as unknown: it survives the memory filter, because nothing proves it does not fit, and it ranks last, so a known-good fit always beats a guess. If every probe fails, selection still terminates on the base entry. The probe is injected through ResolveEnv rather than called directly, for the same reason the backend compatibility check is: specs pin an exact size, or an exact failure, without reaching the network. With that in place three things are dead weight and go: - The nightly job and the fields it populated. Variant.Backend was redundant because the backend is resolved live from the referenced entry during selection, and Quantization was display-only that nothing read. - min_memory on the base entry. The base always installs and its floor could only warn, so it could not change any outcome. - The lint rules and schema entries for both. min_memory on individual variants stays, as the override for when the probed size is wrong. An authored figure now suppresses the probe entirely rather than merely outranking it, so it costs no round trip. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(gallery): expose model variants for selection over API, CLI and MCP A gallery entry may carry `variants:`, alternative builds of the same model. Selection already worked at install time, but nothing could see what an entry offered or ask for a specific build, so the feature was undrivable. Listing: `GET /api/models` now reports `variants` and `auto_variant` for the entries that declare variants. Each variant carries its resolved backend, its measured size and whether it fits this host. `auto_variant` is what installing without a choice would pick right now. The new gallery.DescribeVariants runs the same variantOptions + SelectVariant pass the installer runs, so the reported default cannot drift from what installing actually does, and HostResolveEnv is extracted so both derive the host and share pkg/vram's probe cache from one place. Performance: an entry that declares no variants returns early without touching the probe, so the ~1280 ordinary entries cost exactly what they cost before. Selection: `variant` is accepted on POST /models/apply, as a query param on POST /api/models/install/:id, on the gallery apply file/string request, as `local-ai models install --variant`, and as a parameter on the install_model MCP tool (both the httpapi and inproc clients). Empty means auto-select. An unknown variant name now fails the install naming what was requested. This closes a real hole: an entry declaring no variants short-circuits before selection runs, so a requested variant was previously dropped silently and the install reported success. startup.InstallModels ends in a variadic model list, so install options could not be appended to it; InstallModelsWithOptions is added alongside and InstallModels delegates to it. No caller signature changed. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(gallery): drop the redundant variant min_memory field Variant.MinMemory was an authored override for when the live probe misreads a variant's footprint. It duplicated an existing field: probeEntryMemory already passes the entry's declared size: into EstimateModelMultiContext, whose cascade prefers that declared size over its own guesswork. Correcting size: on the referenced entry fixes the figure for every consumer rather than only for variant selection, so min_memory shadowed the right answer. A variant is now nothing but a name. Its effective size is exactly the probe result, and an unknown stays unknown: it survives the filter and ranks last. EffectiveMemory loses its error return along with the field. The authored string was the only thing that could fail to parse, so the error had no remaining source and was propagating dead nil-checks through SelectVariant, DescribeVariants and the pin warning. Selection behaviour is unchanged. The specs covering probe-derived sizing, ranking, filtering, the unknown-size path, pin recall, entry/variant metadata split and deep-copy isolation all survive; the three install specs that needed a definite size now declare it through the referenced entry's own size:, which exercises the documented escape hatch directly. gallery/index.yaml is untouched: no entry ever carried the key. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(gallery): rank the entry's own build against its variants Variant selection pulled the declaring entry's own payload, the base, out of the candidate set and consulted it only once every declared variant had been rejected. Two real failures followed. A variant whose size the probe cannot determine deliberately survives the memory filter, because nothing proves it does not fit. As the only survivor it then won outright on any host, however small: a 2GiB machine installed an unmeasured variant in preference to the 4GiB build the entry itself ships, with no warning. 241 of the 1280 current index entries carry no files and no size, which is exactly that shape. "Largest wins" also broke whenever the base was the largest. An author writing a Q8 entry that offers a Q4 downgrade for small hosts, a natural shape that nothing in the lint, schema or docs discourages, had the Q4 installed on every large host instead. Make the base an ordinary participant. It is still exempt from both filters, so selection always terminates on something installable, but it is now ranked against the variants: a proven fit first and largest, then the base, then any variant whose size nothing could measure. Both failures disappear together. The base is probed for its size accordingly, which it was not before, because an unsized base would lose every contest to an unmeasurable variant. FellBackToBase is kept but narrowed to "no declared variant survived", rather than "the base was chosen", since the base now also wins on merit and that is not worth warning about. A recalled variant pin also became a permanent install failure. A pin the caller supplies on this request must stay fatal, but one recalled from ._gallery_<name>.yaml can be invalidated by any later gallery edit, and failing on it turned one rename into a model that could never be reinstalled or upgraded again short of deleting a dotfile the user has never heard of. A stale recalled pin is now dropped with a warning naming it, and selection runs as if it had never been recorded. Also drop the last textual reference to two abandoned designs from the DetectedCapability comment, correct the documented variants JSON example, which showed a memory_bytes of 0 that omitempty makes impossible, and remove an em dash from the install skill. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(gallery): budget variant memory from RAM when a GPU reports no VRAM Variant selection read its memory budget from VRAM whenever a GPU capability was detected, and from system RAM only when none was. Apple Silicon satisfies the first branch and fails the premise: arm64 macs report the metal capability unconditionally, without probing anything, while TotalAvailableVRAM has no discrete VRAM pool to find and returns zero. The budget therefore came out as zero on every Mac. Zero drops every variant carrying a known size, so the base build was installed on all of them however much memory the machine had. The feature was inert on the platform, and silently: falling back to the base is a legitimate outcome, so nothing looked wrong. Take VRAM only when it is actually a number, and fall back to RAM otherwise. On a unified-memory host RAM is not an approximation of the budget, it is the budget, since the GPU shares it. A discrete GPU whose VRAM could not be read also lands on RAM, which overstates what the card holds but understates nothing the host has; the previous zero understated both. An unreadable RAM figure still yields zero and still installs the base, so a genuinely unknown host is not talked into a larger download. This is what turned tests-apple red: "installs a fitting variant's payload under the entry's own name" asserts on selection, and the runner resolved to the base because its budget was zero. The added specs pin the branch directly rather than relying on a macOS runner to notice again. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(ui): add a model variant picker to the models gallery PR #10943 shipped the server side: a gallery entry may declare `variants:`, `GET /api/models` attaches `variants` and `auto_variant` to declaring entries, and `POST /api/models/install/:id` accepts a `variant` query parameter. Nothing in the UI consumed any of it, so the feature was not reachable from the browser. This wires it up. modelsApi.install takes an optional second argument and appends an encoded `?variant=` only when one is given, so every existing call site keeps sending exactly the request it sent before. On the models table, an entry that declares variants gets a split button. The primary Install still installs the auto-selected build, because auto is the default and the point of the feature; the chevron opens a menu for a deliberate override. It follows the Backends.jsx precedent: one shared Popover re-anchored per row, rendering .action-menu items, which brings Escape, outside-click and focus return along with it. An entry that declares no variants renders exactly as it did before. A variant that does not fit is dimmed but stays selectable, since the server honors an explicit choice with a warning rather than refusing it. memory_bytes is omitempty on the wire, so an absent key means the size is unknown and never zero. A single helper guards both the menu and the detail row, because formatBytes would otherwise render a falsy value as "0 B", which reads as "needs nothing". The expanded detail row gains a Variants section listing each build's backend, size, whether it fits, which is the entry's own build, and which one auto-selection would pick, built from the existing DetailRow helper and .badge classes. Eight Playwright specs cover the picker, including that plain Install sends no variant parameter and that choosing one sends it. One pre-existing assertion was scoped with .first(): the Variants section legitimately adds more llama-cpp badges to the detail row, which tripped strict mode. UI line coverage 49.42% -> 49.36% against a 40.0 baseline and 0.8pp tolerance; branch coverage rose 72.04% -> 72.66%. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(gallery): describe model variants from a companion endpoint Variant description probes each referenced entry's weight files over the network: an HTTP HEAD plus a ranged GET, serial, five seconds per probe with no aggregate deadline. Running it inline in GET /api/models made one listing cost (entries x variants) round trips. The Manage page fetches with items=9999, so at 200 declaring entries that is ~1000 serial probes, minutes of a blocked handler and gigabytes of range traffic for a single page load. Only one entry declares variants today, but the feature exists so that many will. Follow the precedent already set for VRAM estimates. The listing now reports only has_variants, a length check on loaded metadata that touches nothing, and GET /api/models/variants/:id returns the description for one entry, mirroring estimate/:id in route shape, auth and error handling. DescribeVariants itself is unchanged; only its caller moved. The picker fetches lazily at the two points where a user asks to see variants, opening the split-button menu and expanding the detail row, and caches per entry for the page session. An entry declaring no variants issues no request at all. A spec counts real HTTP hits on the weight files, so it goes red if description becomes reachable from the listing path again through any caller. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(ui): filter the model gallery to entries that declare variants The gallery is heading towards showing parent entries and hiding the individual builds they reference, so a user sees one row per model rather than six quantizations of it. Adoption is a single entry today, so defaulting to that would leave a one-row gallery. This ships the migration-phase inverse instead: the default is untouched, and a toggle narrows the list to only the entries that declare variants. It previews the end state and changes nothing until someone asks for it. The filter is server-side, next to term/tag/backend/capability and above the pagination arithmetic. The listing paginates at 9 items, so narrowing on the client would leave totalPages and availableModels describing the unfiltered set and hand the user empty pages. It selects on HasVariants(), which reads already-loaded metadata, so it issues no variant probes. The parameter is named has_variants after the listing field it selects on, and is compared against "true" like the other boolean query params (all_users, save_checkpoint), so has_variants=false reads as absent. With it omitted the response is byte-for-byte what it was before. The control is the shared Toggle component, matching the fitsFilter toggle already on this page: same wrapper class, same icon and label shape, same localStorage persistence. Unlike fitsFilter it resets to page 1 on change, which a server-side filter has to do. Stacking the toggle with a tag or backend filter easily yields nothing while one entry declares variants, so the empty state now names the variants filter as the cause rather than leaving a user to conclude the gallery is broken. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(ui): render gallery model descriptions as Markdown Gallery descriptions are Markdown, but the React UI dumped them raw, so a model whose description opens with an ATX heading showed a literal "# Qwen3.6-27B [](https://chat.qwen.ai)" in the list. Full-description areas now render through renderMarkdown (marked + DOMPurify), matching how Backends.jsx and the Manage detail panels already handle the same content: - Models.jsx expanded detail row - VoiceLibrary.jsx voice detail header The truncated one-line previews must not render block Markdown: a leading "#" would become an <h1> and wreck the row height and rhythm. They get a new stripMarkdown() helper instead, which reduces Markdown to a single line of readable plain text. It is used for the cell text and for the title tooltip, since a tooltip full of "[](url)" is no better than a cell full of it: - Models.jsx gallery table description cell - Manage.jsx model and backend resource-row descriptions stripMarkdown walks marked's lexer output rather than running regexes over the source, so what it strips is by construction what renderMarkdown would have rendered, and it needs no new dependency. Output lands in JSX text nodes, so React escapes it; no new dangerouslySetInnerHTML beyond the two full-description sites, both of which run DOMPurify. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(ui): strip Markdown from the backends table description cell Commit b35d630cf fixed this for gallery models but left the Backends admin page with the same asymmetry: its detail panel renders the description through renderMarkdown, while the collapsed table row dumped the raw gallery string into both the cell body and the title tooltip. That is user-visible. 40 of the 949 entries in backend/index.yaml carry Markdown - insightface uses inline code backticks, others use lists and links - and backend descriptions also contain embedded newlines, so the one-line cell showed literal syntax. The cell now runs stripMarkdown over the description once and uses the result for the text and the title, matching Models.jsx and the ResourceRowDesc component in Manage.jsx. The '-' placeholder is preserved, and now also fires when a description reduces to nothing after stripping. The detail panel is untouched and no new dangerouslySetInnerHTML is introduced: stripMarkdown output lands in a JSX text node, so React escapes it. Three Playwright specs cover it: a description with a heading, inline code and a link renders as clean text with no literal syntax and no block element in the cell, the title tooltip carries the same stripped text, and a backend without a description still shows the placeholder. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * ui(models): polish the variant detail view and scope rendered Markdown The gallery detail pane rendered every field through the same two-column label/value row, including the description. Multi-paragraph prose in a value cell ran eight rows tall at the top of the pane on a ~1200px measure, breaking the grid's rhythm exactly where the eye enters. Move it into its own full-width block above the table, capped at a 68ch measure, keeping the label. Rendered Markdown had no scoped typography anywhere in the app, so a description opening with `#` inherited the browser default 2em inside a 13px surface while a `##` further down was indistinguishable from body text. Add a reusable .markdown-body block mapping h1-h6, paragraphs, lists, links, code, blockquotes, images and tables onto the existing type scale, and apply it to every renderMarkdown() consumer: the models detail, the backends detail, both Manage details and the voice library detail. Rebalance the variants list so the name leads. Backend and size drop from badge/secondary weight to muted metadata; the FITS badge goes entirely, since it was true of nearly every row and so said nothing, while the variant that does not fit keeps a warning badge and a dimmed name. AUTO-SELECTED stays marked because it answers what a plain Install produces. Rows share the parent's grid tracks via subgrid so name, backend, size and status line up down the list instead of raggedly following name length. Finally, make each variant row actionable. It looked like a list of choices but was inert text, with per-variant install hidden behind the split-button chevron elsewhere; each row is now a button onto the existing handleInstall(modelId, variant) path, with hover, keyboard focus and a disabled state while an install is in flight. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(gallery): collapse the listing to one row per model The listing supported has_variants=true, which narrowed to entries that DECLARE variants. With adoption at three entries that showed three rows, which is useless; it was always a placeholder. Replace it with the view that is actually useful: the deduplicated gallery. Show every entry installable in its own right and nothing twice, which means the parents plus every entry nobody references, and hide only the builds another entry already offers as a variant, since those are reachable through their parent. The parameter is renamed to collapse_variants accordingly: the filter is no longer a predicate on a row's own metadata but a view over the whole gallery. Default stays off, so the response with the parameter absent is unchanged. VariantReferencedIDs never reports an entry that declares variants of its own, so parents are always visible. That guarantees every hidden entry has a visible entry offering it, and no chain can strand a row. Variant resolution already refuses to install such a reference, but the listing has to stay coherent in the presence of a gallery that has one rather than silently swallowing entries. Self-references and dangling references hide nothing. The referenced set is computed over the whole gallery rather than over what the other filters left, so an entry is hidden because a parent offers it and never because of what the user searched for. The pass is over metadata already in memory: it resolves nothing over the network and triggers no variant description or size probe, so the listing's zero-probe contract still holds. The UI toggle keeps its behaviour (persistence, page reset, clear filters) and becomes "One row per model", which says what the user gets. Its localStorage key moves too, since the stored value meant a different filter. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(ui): show the collapsed model listing by default The gallery listing is what a user reaches for to answer "what can I install". Answering that with several rows for the same model, one per build, makes the reader do the deduplication the collapsed view already does, so the collapsed view is the one to land on. The UI now asks for collapse_variants=true unless the toggle says otherwise. The server default is deliberately untouched: a request with the parameter absent still returns the full listing, because other API clients depend on that response and collapsing it under them would be a breaking change. Opting out omits the parameter rather than sending false, so it asks for exactly the listing everyone else gets. The stored preference changes vocabulary from '1'/'0' to 'on'/'off'. The previous build wrote it from an effect that runs on mount, so a stored '0' recorded that the page had been opened rather than that anyone chose the expanded view, and honouring it would pin every earlier visitor to a default they never picked. Only the new vocabulary counts as a choice; a legacy '1' meant the collapsed view and is what the new default gives anyway, so no earlier deliberate choice is lost. Collapsing being the default also changes what the empty state may say about it. An opted-into filter can be named as the cause of an empty result; a default cannot, so the filters keep the top line and the collapsed view drops to a hint below it, shown only once filters are narrowing the set. For the same reason "Clear filters" now restores the collapsed default instead of switching it off, and the toggle alone no longer counts as a filter worth offering to clear. The label stays "One row per model": it describes the view the user is looking at rather than an action, so it reads the same whether it is opted into or out of. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * gallery: group alternative builds of the same weights under variants Sweep the gallery for entries that are alternative builds of the same weights (different quantization, precision, or runtime format) and declare them as variants of a single parent row, so the listing offers one row per model instead of one row per quantization and the installer picks the largest build that this host can actually run. 41 families over 95 entries, turning 54 entries into variants. The parent is the bare-named entry wherever one exists, so nothing changes about what any existing entry installs. Ranking already selects the largest fitting build regardless of which entry is nominally the parent, so the parent only decides the pathological case where nothing fits. For the ten families that have no bare-named entry, the smallest build is the parent, since that is the one that has to install when nothing fits. Grouping was verified against the actual model filenames rather than the entry names alone. Different parameter sizes, languages, finetunes, and products that merely share a name prefix are left as separate rows: the qwen3.6 APEX and pi-tune finetunes, the DFlash and MTP speculative-decoding pairings, English-only versus multilingual Whisper, the QAT versus non-QAT Gemma 4 weights, and the abliterated FLUX build are all distinct models. Six parents define YAML anchors that other entries pull in with a merge key, which would have handed their variants to every merging child. For the two depth-anything anchors that would have made fourteen unrelated entries advertise the base model's builds as their own. All 26 merging children therefore carry an explicit empty variants list, which overrides the merged key and is equivalent to the key being absent. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(gallery): rank model variants by host backend preference Variant auto-selection filtered candidates by whether their backend can run on the host, then ranked the survivors by size alone. The backend never influenced the choice beyond that gate, so a Mac offered both an MLX build and a llama.cpp build kept neither filtered and installed whichever was larger, leaving the native accelerated runtime unused. The same held for CUDA against CPU on NVIDIA and ROCm against Vulkan on AMD. Rank by the host's backend preference between the fit tier and size: fit stays a filter, preference decides among the builds the host can equally hold, and size still separates builds on equally preferred runtimes. The preference data stays in one declarative table in pkg/system, now read by a prefix lookup instead of a switch, so adding a capability or reordering one host's runtimes is a one-line edit and the gallery's ranking code carries no per-backend branching. MLX joins the metal rule ahead of metal itself, which is inert for the existing alias-resolution consumer because no alias group holds a candidate named for mlx. An unrecognised backend, an unrecognised capability and an absent preference list all collapse to the previous size-only ordering rather than erroring or dropping candidates. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(gallery): rank variants by engine name, not backend build tag Variant auto-selection ranked candidates with SystemState.BackendPreferenceTokens, but that function and the variant ranker speak different vocabularies. BackendPreferenceTokens returns BUILD TAGS ("cuda", "rocm", "sycl", "vulkan", "metal", "cpu"). It exists to match installed backend build directory names like "llama-cpp-cuda-12" during alias resolution in ListSystemBackends. Variant ranking instead matches a gallery entry's `backend:` value, which is an ENGINE NAME: "llama-cpp", "vllm", "vllm-omni", "sglang", "mlx" and the rest. No engine name in gallery/index.yaml contains "cuda", "rocm", "sycl" or "vulkan". preferenceRank matches by substring, so on an NVIDIA host the tokens [cuda, vulkan, cpu] matched neither "llama-cpp" nor "vllm", every candidate scored identically and size alone decided. The NVIDIA, AMD, Intel, darwin-x86 and vulkan rules were all inert. Only metal appeared to work, and only because the token "mlx" happens to equal an engine name. The mismatch does not error, it silently deletes the feature. Separate the two vocabularies. backendBuildTagPreferenceRules keeps the build tags and its original output for every capability, including metal, whose "mlx" token is removed again; its alias-resolution consumer is byte-identical to before. engineNamePreferenceRules is new, holds engine names, and is read by the new EnginePreferenceTokens, which HostResolveEnv wires into the renamed ResolveEnv.EnginePreference. Both tables sit adjacent under one block comment naming each vocabulary and each consumer, and share one lookup helper so their semantics cannot drift. On NVIDIA the order is vLLM, then SGLang, then llama-cpp: vLLM is the throughput engine and a model published with a vLLM build is published that way because that build is the one worth running. AMD and Intel get the same order, since rocm and intel builds of both serving engines ship. Metal prefers mlx over llama-cpp. Vulkan prefers llama-cpp, the only LLM engine with a Vulkan build. darwin-x86 and unknown capabilities are deliberately absent rather than guessed at, degrading to the size-only ordering that predates preference. preferenceRank stays generic and names no engine and no capability, so adding a runtime remains a one-line table edit. Specs pin the NVIDIA and metal rules through the live table and the real HostResolveEnv wiring, so emptying the engine table or wiring the build tag source back in both go red. A regression table asserts BackendPreferenceTokens' original output per capability, and mirrored locks assert neither table carries the other's vocabulary. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: record that variant selection ranks by engine before size A gallery entry can now declare variants, and selection ranks the builds a host can run by engine preference before size. Nothing told a contributor adding a backend that engineNamePreferenceRules exists, so a new engine would silently rank below every known one and lose to whatever build happened to be larger on hosts where it should have won. Document the step where a backend is added, warn against the sibling backendBuildTagPreferenceRules table (build tags, not engine names: the wrong table matches nothing, scores every candidate equally and disables the preference without erroring), and index it from AGENTS.md. Fix the authoring and user docs, which still claimed the largest surviving build wins. An author grouping builds under one entry has to be able to predict what a user gets, and size alone no longer decides it. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(cli,mcp): describe variant auto-selection as preference before size The CLI flag help and the install_model tool schema both still said auto-selection takes the largest build that runs. Ranking now puts engine preference ahead of size, so on NVIDIA a vLLM build wins over a larger llama.cpp one. An assistant reading the old schema would tell users the wrong thing. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(gallery): prefer llama.cpp over GPU serving engines on hosts with no GPU engineNamePreferenceRules had no row for the "default" capability, which getSystemCapabilities() returns both when no GPU is detected and when a GPU is present but under the 4 GiB VRAM floor. A missing row yields an empty preference list, which preferenceRank reads as "score everything equally", collapsing variant selection to size alone. That would be harmless if the hardware filter dropped GPU serving engines on such a host, but it does not. IsBackendCompatible derives support from the engine NAME, and "vllm" and "sglang" contain none of the darwin, cuda, rocm or sycl tokens it keys on, so they fall through to its closing "return true". A vLLM variant therefore survives on a CPU-only box and wins whenever its build is the larger of the two on offer: the machine installs vLLM in preference to llama.cpp. darwin-x86 had the identical hole. It was documented as a deliberate omission because nothing accelerates on an Intel Mac, which is true about acceleration and wrong about consequence: with every engine tied, download size decides. Add rows for both putting llama-cpp first. The GPU engines are enumerated behind it rather than left unmatched: an unmatched engine already ranks below every listed one, so llama.cpp would win either way, but unmatched engines also tie with each other and let size decide among them. Naming them fixes that order. MLX is left off the darwin-x86 row on purpose so it ranks last, since IsBackendCompatible admits darwin-tokened engines on that capability even though MLX needs Apple silicon. Preference orders survivors and never filters, so a model published only as a vLLM build is still installed on a host with no GPU; there is a spec for it. Surveyed every other value getSystemCapabilities() can return. nvidia, amd, intel and vulkan have rows; the l4t and cuda-refined values reach the nvidia row by prefix; "apple" and "" cannot reach the vendor fallthrough because the darwin and no-GPU branches return earlier. default and darwin-x86 were the only live holes. BackendPreferenceTokens and its build-tag table are untouched, and preferenceRank stays generic, naming no engine and no capability. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * gallery: prefer speculative-decoding builds when they fit Rank serving features between engine preference and size, so a host that can hold a DFlash or MTP build of a model's weights installs it instead of the plain build. Both answer faster for the same output, so whenever one survives the filters there is no reason to take the plain build. Precedence is now fit, then engine, then serving feature, then size. Engine outranks the feature deliberately: a serving feature makes the right engine faster, it does not make a wrong engine right, so a plain vLLM build still beats a DFlash llama.cpp build on NVIDIA. Fit outranks both, and a drafter pairing is strictly larger than the plain build, so the existing size filter drops it on a host too small for it before this axis is consulted. The order lives in a third preference table in pkg/system, alongside the build tag and engine name tables. It is the odd one of the three: not keyed by capability, because no hardware prefers a plain build over an equivalent faster one, and matched against whole segments of a gallery ENTRY NAME rather than as a substring of a backend value. Nothing on a gallery entry declares a serving feature, and tags are not a usable substitute: gemma-4-e2b-it:sglang-mtp carries an mtp tag while ornith-1.0-9b-mtp and qwen3.6-27b-nvfp4-mtp carry none. Entry names are author-supplied free text, unlike the closed engine vocabulary, so a short marker can turn up inside an unrelated word and whole segment matching is what keeps smtp-assistant from ranking as an MTP build. The block comment over the tables now documents all three together and states what each is matched against; the ranking code names no feature, so adding one stays a one-line edit to the table. 29c49203b rejected these entries as serving configurations rather than alternative builds of the same weights. The definition is now "alternative ways to serve the same model", which includes them, so regroup 14 entries under 12 parents. Judged by the files each entry points at: the qwen3.6, qwen3.5, qwen3 and deepseek pairings are the base GGUF plus a drafter, the gemma-4 QAT MTP entries are the same QAT weights at a different quantization plus an MTP drafter, and the two sglang MTP entries describe themselves as the same model served with speculative decoding. Left separate: qwen3.6-27b-mtp-pi-tune, a finetune with its own weights, and every entry whose base model LocalAI does not ship as its own row, which is the whole Qwopus line plus gemmable-4-12b-mtp, mimo-7b-mtp:sglang and qwen3.5-4b-dflash. None of the twelve parents defines a YAML anchor, so no variants key can leak through a merge key and no empty override was needed this time. The index was edited by line insertion only. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * test: check env restore errors in capability and variant specs errcheck flagged ten unchecked os.Setenv and os.Unsetenv returns in the specs added while the pre-commit hook was being skipped. Restoring an env var is exactly the place a silent failure leaks state into the next spec, so assert on it rather than suppressing the linter. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(gallery): make the mtp tag authoritative for serving-feature ranking Variant auto-selection ranks survivors by fit, then engine, then serving feature, then size. The serving-feature lookup read only whole alphanumeric segments of a variant's entry name, because tags were inconsistent: every dflash entry carried a dflash tag, but only 7 of 20 MTP entries carried an mtp tag. Tag the 13 untagged MTP entries, then teach the lookup to read tags as well as names. A tag is now the authoritative signal and is compared whole and case-insensitively, which is safe precisely because a tag is a deliberate declaration rather than free text: there is no word-inside-a-word failure mode, so the segment splitting the name half needs is unnecessary there. The name check stays as a fallback rather than being replaced. Switching to tags only would have regressed the six already-grouped entries on the day it shipped, and would depend on tagging discipline that does not exist yet. The lookup still names no feature, so adding one remains a one-line edit to servingFeaturePreferenceTokens. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(gallery): make a declared tag the sole serving-feature signal Variant auto-selection ranks survivors by fit, then engine, then serving feature, then size. The serving-feature lookup recognised a speculative build by either a declared tag or a whole segment of its entry name. Drop the name half: a tag is now the only signal. A name is author-supplied free text and a naming convention is not a contract, so reading a marker out of one infers a capability nobody declared. The gallery already had the failure in it: the four NVFP4 entries name MTP-bearing weights while setting no option that enables speculative decoding, and being live variants they were winning the feature axis without answering any faster. overrides.options was considered as the replacement and rejected. It carries spec_type:draft-mtp / spec_type:draft-dflash, which is what actually turns the feature on, but that spelling is llama.cpp's config vocabulary: ds4 spells the same feature mtp_path and sglang spells it speculative_algorithm in a referenced config. Keying a cross-backend ranking decision on one backend's option syntax would rank the other backends' builds as plain. Options are the curation-time check instead, and never reach the selection logic. With no fallback left, tag correctness is load bearing, so audit every entry against the rule "tagged when the entry configures that feature, in whatever vocabulary its backend uses". Three entries configure MTP untagged and gain the tag (hy3, glm-5.2, qwythos-9b-claude-mythos-5-1m, all spec_type:draft-mtp with no marker in their names). Four carry the tag while configuring nothing and lose it: qwen3.6-27b-nvfp4-mtp, qwen3.6-35b-a3b-nvfp4-mtp, qwopus3.6-27b-coder-mtp-nvfp4 and qwopus3.6-27b-v2-mtp-nvfp4, whose only option is use_jinja:true. The dflash side was checked independently rather than assumed consistent: all five dflash entries declare spec_type:draft-dflash and all five are tagged, so it needed no edits. Four entries keep a tag that a literal spec_type-only reading would strip, because they configure MTP through a different backend: deepseek-v4-flash-q2-mtp via ds4's mtp_path/mtp_draft, and the three sglang entries via speculative_algorithm in their referenced configs. Stripping those would contradict the reason spec_type was rejected as the signal and would demote four genuinely faster builds to plain. The index was edited by line insertion and deletion only, never round-tripped through a serializer. A resolved-tag diff across all 1272 named entries, taken after merge keys are applied, shows exactly these 7 changing and no entry gaining or losing a tag through an anchor. The two specs that pinned the name fallback are inverted rather than deleted, since a name silently promoting a build is the regression worth guarding. The whole-token guard survives on the tag path, where smtp must still not match mtp. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(gallery): make deepseek-v4-flash variant targets installable Clicking install on deepseek-v4-flash failed with "invalid gallery model". The parent entry is fine, but all four entries it was grouped with declared neither url: nor config_file:, and applyModel needs one of the two to have anything to build a config from. They carry urls: (plural), the informational HuggingFace link list, which is a different field. None of the four was ever independently installable, so grouping them routed a previously-working install into a broken entry. Give each the url: the parent already resolves through. virtual.yaml is a no-op base, and applyModel passes overrides to InstallModel separately from the fetched config, so backend: ds4, the parameters and the ssd/mtp options all still land exactly as authored. This is the same pattern the parent and many other GGUF entries in the index already use. Add the lint rule that should have caught this. checkVariantReferences only proved a target exists and is not itself a parent, which is structural validity: an entry can exist, declare no variants, and still be uninstallable. checkVariantTargetsInstallable mirrors applyModel's precondition instead, and names the parent, the target and the missing fields, because whoever hits it is reading a gallery entry and has no reason to know applyModel exists. The two index-driven resolution specs live in their own Ordered container: an Ordered container stops at its first failure, so sharing one with the lint rules let a lint breach skip them silently. Nine further entries gallery-wide have the same defect and are unrelated to variants, so they are broken installs that predate this branch. They are left alone here rather than buried in a regression fix, and widening the rule to cover every entry is deferred with them so the gate can ratchet up in one step instead of needing a skip list. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(gallery): install entries with no url or config_file on an empty base applyModel had three branches: fetch a base config from url:, build one from an inline config_file:, or fail with "invalid gallery model". An entry declaring neither is now installed on an empty base config, with overrides: and files: supplying everything. This is what the ~345 entries pointing at gallery/virtual.yaml were already getting. That stub is five lines carrying name, description and license. description and license are overwritten from the gallery entry immediately after the fetch, and the name never reaches disk because InstallModel prefers the install name. Crucially applyModel passes model.Overrides to InstallModel as a separate argument rather than merging it into the fetched config, so nothing an author writes depends on that base existing. The fetch bought a round trip to GitHub and nothing else. That makes f4ef80173 the wrong fix, so it is unwound. The four url: lines it added to the deepseek-v4-flash variants are reverted: they are a pointless network fetch now, and the family installs without them. Relaxing the branch would hide a real authoring mistake, so a payload rule replaces the base-config rule. An entry with no url, no config_file, no overrides and no files installs nothing and would leave an empty model directory while reporting success, so it is refused by name. The caller's request counts toward the payload, because its overrides and files are merged into the install exactly as the entry's own are. urls: (plural) is the informational link list and does not count, which is what the four entries that shipped broken had and why they were still uninstallable. checkVariantTargetsInstallable asserted every variant target declares a url: or a config_file:, which is no longer true and would now reject correct authoring. checkEntriesInstallSomething pins what survives instead, and covers every entry rather than only variant targets: the hazard is a half-written stanza and a parent can be one as easily as a target. The old rule was scoped to targets precisely because nine unrelated entries would have failed a gallery-wide version; those nine are valid now, so the deferred ratchet happens here in one step. 1280 entries, zero violations. Those nine (aurore-reveil_koto-small-7b-it, lfm2-1.2b, the six liquidai_lfm2 entries and deepseek-v4-pro-q2-ssd) become installable for free. Each carries overrides: and files:, and one of them is driven through the real install path in a spec. The no-fetch spec is paired rather than bare: an assertion that nothing was fetched proves nothing unless something could have been, so a control runs the same fixture with a url: pointing at a base config that is not there and asserts the install fails. Only then does the identical fixture without the url passing mean the read was skipped. Follow-up, deliberately not here: the ~345 entries still naming virtual.yaml can drop their url:. That is 345 index edits with their own risk, and mixing them in would bury this change. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * ui(models): let search bypass the variant collapse, drop the toggle The models page collapsed the gallery to one row per model by default and offered a toggle to see every individual build. Because the collapse composed with the search term, a build another entry offers as a variant could not be found by typing its name, so the toggle was the only way to reach those builds in the UI. A user who typed a name they knew existed got "no models found", which reads as "that model does not exist". Collapse is for browsing; search is for finding. An explicit search term now bypasses the collapse in the listing handler, so a name lookup returns matching entries whether or not a parent offers them. The term is trimmed once at the top of the handler, so whitespace is neither a search nor a bypass; previously an untrimmed blank term also narrowed the listing to whatever contained a space. Tag and backend deliberately do not bypass: they refine a listing the user is still reading rather than name an entry already known to exist. That makes the toggle redundant, so it goes, along with its i18n strings in all six locales, its localStorage persistence, its participation in "Clear filters" and the empty-state hint telling users to turn it off. The hint was doubly stale: it pointed at a control that no longer exists, and it was untrue exactly when a user has a search term, since searching now sees every build. The page always requests the collapsed listing. The stored preference key is left inert rather than cleaned up: nothing reads it, so a user who had the toggle off simply gets the collapsed view. collapse_variants stays on the API, off by default, because other clients want either view and the UI dropping its control is no reason to remove a working parameter. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(ui): give the models gallery filter form a deliberate structure The filter area had accreted controls into one undifferentiated flow. The "Fits in GPU" toggle and the backend select were direct children of .filter-bar, the same wrapping container as the 18 taxonomy chips, so their position was decided by how many chips happened to wrap at the current width rather than by any layout intent. At narrow widths they were pushed past the right edge of that container's horizontal scroll and became unreachable entirely. Restructure into three bands inside the house .filter-bar-group wrapper that components/FilterBar.jsx already uses on Backends and the System tabs: 1. query scope: search plus the backend select 2. taxonomy: the chip row, alone, free to wrap 3. refinements: fits-in-GPU and context size, under a hairline rule The backend select leads the chips rather than trailing them because picking a backend disables the use cases that backend cannot serve, so it gates the row below it. Fits-in-GPU and context size share a band because they are one control group: the context size is the length the VRAM estimate is computed at, and that estimate is what the fits filter tests against. Chips had no visible keyboard focus indicator. The global focus ring is wrapped in :where(), so it carries the specificity of a bare :focus-visible, ties with .filter-btn and loses on source order, leaving focused chips showing their resting drop shadow. Restate the ring where it outranks both resting and hover. Also: aria-pressed on the chips, a real label association and aria-valuetext on the context slider (it steps over an index, so it announced "2"), disabled chip styling moved off inline styles, a prefers-reduced-motion block for the chip transition, and the hard-coded English "Context:" moved into all seven locales. No behaviour change: same filters, same state, same requests. Page reset on change, localStorage persistence and "Clear filters" verified unchanged. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(ui): let the models recommendations panel fade into the background The "Recommended for your hardware" strip rendered at full height on every visit regardless of how many models were already installed, costing 186px at 1600px wide (287px at 1100px, where its cards wrapped to two rows) and pushing the first gallery row to y=554 / y=703. Make its prominence track how much the user still needs it. The panel now defaults to a one-line summary once anything is installed, and both the collapse choice and the existing dismissal persist: collapsed = explicit user choice, if one exists : installedCount > 0 The preference is three-valued on purpose. A boolean cannot tell "the user expanded it" apart from "the user has never chosen", and those need opposite handling when the installed count later crosses zero: someone who deliberately opened the panel on an empty instance should not have it collapse out from under them when their first model finishes installing. Collapsed keeps the card, icon, title and a suggestion count, so the panel is recovered by clicking what you are already looking at rather than by hunting. Expanded is unchanged, because for a user with nothing installed it was never the problem. Collapsed reclaims 145px at 1600 and 420, and 246px at 1100. Models.jsx gains a statsLoaded flag: stats initializes to installed:0, so reading it before the fetch resolves would render expanded and collapse a frame later, which is exactly the layout shove this removes. The dismissal key moves to the page's localai-models-* convention; the old localai_rec_models_dismissed is still read, never written, so an existing dismissal is honoured rather than resurrected by the rename. Accessibility: the disclosure is a real button whose accessible name is the visible title alone, with state on aria-expanded and aria-controls resolving in both states, because the grid is hidden via the hidden attribute rather than unmounted. That also keeps the four install buttons out of the tab order while collapsed. The app's global focus ring applies; no per-component outline is added, per the warning in App.css. Reveal animates opacity and transform only, never height, and both it and the chevron rotation are disabled under prefers-reduced-motion. Only en had a recommended block, so the other six locales were falling back to English for the whole panel. Translated the complete block rather than adding one orphaned key to files that would still render the title in English. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(downloader): recover from a leftover .partial on non-HTTP URIs An interrupted download leaves a `<file>.partial` behind. The partial handling in DownloadFileWithContext gated resume on `err == nil && uri.LooksLikeHTTPURL()`, so for any URI that is not literally http(s) the branch fell through to `else if !errors.Is(err, os.ErrNotExist)`, which with a nil err is true. The download then failed with an error wrapping nil: failed to check file ".../Ternary-Bonsai-27B-Q2_g64.gguf" existence: <nil> Every gallery file URI uses `huggingface://`, so a single interrupted download made that model permanently uninstallable until someone deleted the partial by hand. The `<nil>` in the message compounded it by pointing debugging at a filesystem failure that never happened. Restructure the handling as an explicit switch over the four real states: partial exists and is resumable, partial exists and is not resumable (discard and restart, as already done for an HTTP server without range support), no partial, and a genuine stat failure. The error branch is now only reachable with a non-nil error, names the path that was actually stat'd, and wraps with %w. Discarding is required for correctness and not merely convenience: the writer opens the partial with O_APPEND, so an un-resumed download would concatenate a fresh body onto stale bytes. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(ui): tell the models gallery's variant rows apart, and let browsing see every build Both variant surfaces rendered name, backend and size. For two builds of one model that is close to no information: a variant exists precisely because the same weights are offered another way, so the backend usually matches and the sizes usually land within a few hundred megabytes. Comparing ternary-bonsai-27b-pq2 against ternary-bonsai-27b-q2-g64 meant reading two names that differ by a suffix nobody has defined anywhere in the UI. Report the quantization and the serving features on VariantView, and derive both server-side from the referenced entry rather than parsing names in the browser, so every client reads the same format out of the same file the installer will hand the backend. Quantization comes from overrides.parameters.model first, falling back to the file list. That order is load bearing: entries routinely ship a vision tower alongside the language model at a different quantization, so reading the file list first reports the mmproj's format. Matching walks `-` and `.` delimited segments right to left; `_` deliberately does not split, because it separates the parts INSIDE a quant token and splitting on it reports Q4 for a Q4_K_M build. A second, looser pass takes a segment's `_`-delimited tail, which catches the gemma-4-E2B_q4_0-it.gguf style; it runs second so a precise match can never lose to a fuzzy one further right in the name. An entry naming no format reports nothing, which is the honest answer for a backend served from a directory of weights. Features are the same tag-against-vocabulary match servingFeatureRank already ranks on, over the same host preference list. A build can therefore never be shown as faster than one selection did not actually reward, nor rewarded without being shown; a spec pins that agreement rather than trusting it. The compact dropdown gets the quantization on its meta line and the bare feature token. The detail row, which has the room, gets the quantization as its own monospaced column so precision lines up down the list, and the feature spelled out, because DFLASH names nothing to a user who has not met it. The referenced entry's description stays out of both: the detail row already renders the parent's prose above the table, and a second block per variant would push a three-variant list past a screen to restate what the columns now say precisely. The collapse toggle comes back. 462583f38 dropped it once search bypassed the collapse, on the reasoning that nothing was unreachable any more. That holds for finding a build whose name you know and does not hold for browsing: no sequence of actions enumerated the 68 builds the default view hides. Collapse is for browsing and search is for finding, and the toggle was the browsing half. It goes in the refinements band 0d4823362 established, not back among the taxonomy chips where its position depended on how many chips happened to wrap. It leads that band because it decides how many rows the other two refine over, and because unlike fits-in-GPU it is unconditional: a host with no GPU still browses. The search bypass is untouched and re-checked by a spec in the toggle's default state, since restoring the control must not restore the dead end it replaced. The empty-state hint returns but only without a search term, because a term bypasses the collapse and the hint would otherwise point at a control that cannot change the result. The stored preference reads 'on'/'off' only: an older build wrote '1'/'0' from an effect that ran on mount, so those record that the page was opened, not that anyone chose a view. Also fixes a latent flake it exposed. The collapse_variants spec compared whole response bodies byte for byte, and the listing envelope carries live host telemetry that drifts between two calls milliseconds apart, so it was asserting on the machine's memory pressure. It now compares everything the parameter governs -- the entries, their serialization and the paging -- and is green 25/25 where it was failing about one run in three. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(ui): let the models gallery show a variant's full details The variant list in an entry's expanded detail row says how the builds differ: name, backend, quantization, size, and the auto-selected, base and serving-feature markers. It cannot say what any one of them is. A variant's own description, tags, license, source links and file list are unreachable anywhere in the UI, because while the collapse is on a variant has no gallery row of its own. Give each variant row an info control that reveals its entry, rendered by the same ModelDetail a top-level row gets, so a field added to the detail view appears here too. variantData is withheld from the nested render: a variant may declare variants of its own, and recursing would nest a picker inside a picker two levels deep already. An inline disclosure rather than a modal. The control sits inside a table row that is already expanded, inside a variant list within that; a dialog opened from there stacks a dismissal on a dismissal for a handful of extra fields about the entry the user is already reading, and breaks the page's own expand idiom. The third level is carried by an inset and a left rule instead of another card. The entry is fetched by exact name from the listing, once, on first use. The listing already returns every field the detail view renders, and a search term bypasses the variant collapse server-side, so no new endpoint is needed and neither the listing nor DescribeVariants gains any work. Expanding a row costs nothing; a variant nobody opens costs nothing. A name the listing no longer returns is stated, not blanked: an empty panel reads as a rendering fault rather than as a lookup that came back empty. The control is a sibling of the install button, not a descendant, so asking about a build can never install it. The variant list keeps its content-sized columns via a trailing filler track instead of max-content sizing, so the rows are unchanged while the panel spanning them gets the pane width its file table needs. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(gallery): let search respect the collapse instead of switching it off The models listing collapsed to one row per model, and an explicit search term turned that off wholesale. Searching while collapsed therefore answered with the individual builds a parent already offers, which are exactly the rows the view the user asked for has no place for: typing "mtp" returned qwen3.6-27b-nvfp4-mtp, a row that is invisible the moment the box is cleared. The bypass was the right shape of fix for the wrong half of the problem. What a search must not do is answer "no models found" for a build the gallery does hold; that does not require abandoning the grouping the user asked for. So the term is now matched against every entry either way, hidden builds included, and the collapse decides how a match is reported rather than which matches exist. Collapsing stops being a filter that drops rows and becomes a substitution: a match on a build another entry offers is reported as that entry, the one installable in its own right. Nothing becomes unfindable and nothing comes back that the requested view cannot show. Substitution happens after search, tag and backend, so every filter is judged against the build that really carries the name, tag or backend rather than against a parent that merely offers it; the other order would let backend=vllm match a parent whose own backend is something else. The price is that the surfaced row shows the parent's own metadata while the match was on a variant, which is what grouping means, and the alternative is claiming the gallery holds no such build. It happens before the count and the page math, so both describe the rows actually handed out rather than the matches that produced them. A parent already in the result keeps its own position and absorbs its matching variants there, which is what leaves the browsing listing ordered exactly as it was; a parent surfaced only by a variant takes the position of the first variant that surfaced it. Either way it appears once, however many of its builds matched and whether or not it matched itself. Search preserves gallery order rather than scoring, so a surfaced parent has a real position rather than an invented one. VariantParents never reports an entry that declares variants of its own, so a parent is never itself hidden and one hop always lands on a visible row. The handler follows exactly one anyway: refusing the second is what makes a gallery the linter would have rejected terminate rather than loop. The empty-state hint pointing at the toggle goes with it for every server-side filter. Substitution means a match is always reported as some row, so the collapse can no longer be why a term, a chip or a backend came back empty, and naming it there sends the user to a control that cannot change the result. It survives for the fits filter alone, which runs in the browser after the substitution and judges the surfaced entry's own size: there the build that fits really can be filtered out along with a parent that does not. Searching a build's exact name while collapsed now answers with its parent, so the result no longer contains the string the user typed. That is intended, and the row is the one they can act on, but it is a real rough edge: nothing on the row explains the connection. Closing it properly means reporting which variant matched so the UI can say so, which the listing does not do today. ResetGalleryModelCache is added for tests. The model cache is a package global keyed by nothing, so a background refresh one spec triggers can land in the middle of the next and answer it with the previous spec's gallery; the extra specs here made that fail about one run in five. It waits for the in-flight refresh to publish before clearing, since clearing alone only narrows the window. Assisted-by: Claude:claude-opus-4-8 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>	2026-07-20 18:43:02 +02:00
mudler's LocalAI [bot]	e55cc3e2a7	fix(worker): bound the gRPC port allocator and stop leaking dead backends' ports (#10968) ... The worker's gRPC port allocator grew monotonically with no upper bound: nextPort started at the base port and incremented whenever freePorts was empty, and nothing checked 65535. Past that it handed out integers that cannot be bound, surfacing as an opaque "backend won't start". #10961 estimated this needed ~15,000 concurrent-peak allocations, i.e. effectively unreachable. It is not, because of a second defect: the "process died unexpectedly" branch in startBackend deleted the process map entry without releasing its port at all. That port was leaked, never quarantined and never reused. A crash-looping backend leaks one port per restart, so a backend dying every 30s walks 50051 to 65535 in about five days. The leak, not concurrent peak, is the realistic route to exhaustion. Fixing the leak alone would have been wrong. Releasing that port makes it re-bindable, and the death path is the one teardown path with no request/reply to carry StoppedProcessKeys back to the controller (#10952's eager row removal), so a stale NodeModel row could then resolve to a live listener belonging to a different backend. probeHealth verifies liveness, not identity, so the request is silently misrouted. The 15s port quarantine does not cover this: the only reaper is the per-model health check at ~45s, and it can be disabled outright. The residual was masked only because the port was never rebound. So both are fixed together: - The allocator takes an explicit [basePort, LOCALAI_GRPC_MAX_PORT] range and returns ErrNoFreePort naming the range, the live backend count, the quarantined count, and the knob to raise. Exhaustion is now diagnosable instead of surfacing as an unbindable port. - Released ports carry per-key affinity: a port is offered back to the process key that last held it before any other key. Process keys (modelID#replica) and NodeModel rows (nodeID, modelName, replicaIndex) are isomorphic, so a port that can only be re-bound by its previous owner can only ever be named by that owner's row, which that key's re-registration overwrites. Misrouting to a different model becomes impossible by construction rather than by racing the quarantine timer. Affinity is a preference, not a reservation: under range pressure an owned port is stolen with a warning, because a guaranteed outage is worse than a rare misroute window on a port long out of quarantine. Claiming a port evicts its previous owner's entry, keeping ownership injective over ports so the affinity map can never exceed the range width regardless of how many distinct model keys the worker sees. Ownership also expires. It is only load-bearing while a controller row could still name the port, which the per-model reaper bounds at roughly 45s, so it lapses after five minutes and the port becomes ordinary free space again. Holding it indefinitely would have made every distinct model the worker ever served consume a port permanently: every release path is keyed, so nothing would ever be unowned, the allocator would climb to the end of its range on distinct-key count rather than concurrency, stealing would become routine, and the steal warning would tell operators to widen a range that was not the constraint. With expiry, reaching the steal branch means the worker is genuinely out of concurrent capacity, so that advice is correct when it appears. Closes #10961 Closes #10952 Assisted-by: Claude Code:claude-opus-4-8[1m] [Read] [Edit] [Bash] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>	2026-07-19 23:56:37 +00:00
mudler's LocalAI [bot]	fb4c61d1c9	fix(distributed): configurable remote model-load timeout, and reap the load when it times out (#10948) ... * fix(distributed): make the remote LoadModel deadline configurable The router hardcoded a 5 minute gRPC deadline for the remote LoadModel call. Staging finishes before the timer starts, so those five minutes cover only the worker backend's own checkpoint load and pipeline init. A cold load of meituan-longcat/LongCat-Video-Avatar-1.5 (~83 GB) on an ARM64 Thor worker fails at exactly 302s with DeadlineExceeded while the backend process is still making progress (CPU time accumulating, RSS moving as weights are mapped), so the load was cut short rather than wedged. Add LOCALAI_NATS_MODEL_LOAD_TIMEOUT / --model-load-timeout mirroring the existing backend-install timeout knob, defaulting to 5m so unset clusters keep today's behaviour. The cold-load hold ceiling (which bounds how long one load may hold the per-model advisory lock) was derived from the install timeout alone, so raising the load deadline past it would have been silently clipped. Derive it from both budgets via ModelLoadCeilingFor: max(install + load + 5m staging margin, 25m) With the defaults that is 15m + 5m + 5m = 25m, identical to the previous constant, and the 25m floor means shrinking either budget can never tighten the ceiling below what clusters relied on before. Assisted-by: Claude:claude-opus-4-8 golangci-lint Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(distributed): reap the abandoned replica when a remote load times out The gRPC deadline on the remote LoadModel call only cancels the client side. A backend blocked in a synchronous weight load never observes its cancelled handler context, so when scheduleAndLoad gave up it left the worker loading with nobody waiting for the result. Observed on an ARM64 Thor worker loading LongCat-Video-Avatar-1.5: the client returned DeadlineExceeded at 302s, and the backend process was still alive 30 minutes later having pulled ~57GB from HuggingFace. Every retry stacked another multi-GB loader on the worker; they had to be reaped by hand via POST /api/nodes/:id/models/unload. Send backend.stop for the exact `modelID#replicaIndex` process key we just abandoned. The exact key matters: a bare model ID stops every replica on that node, including healthy ones serving traffic. Only a deadline or cancellation triggers the reap. Any other LoadModel failure is the backend answering, which means its handler returned and the process is idle - stopping it there would discard a warm process and its downloaded weights. The reap is best-effort and never replaces the load error the caller is waiting on. The `modelID#replicaIndex` format was already hand-rolled in two places (the worker's buildProcessKey and pkg/model's log store). Rather than add a third, export model.BackendProcessKey from pkg/model, the lowest common dependency of both sides. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-4-8 golangci-lint --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>	2026-07-19 12:01:48 +02:00
Richard Palethorpe	9c43b2da8f	fix(model): make backend shutdown model-scoped (#10865) ... Avoid holding the global loader lock across backend lifecycle waits and propagate forced shutdown through distributed workers. Track parallel requests with in-flight counters and reserve worker ports until process termination. Add focused race tests and an authoritative FizzBee lifecycle model with a fail-closed conformance target. Assisted-by: Codex:GPT-5 [FizzBee] [Ginkgo] Signed-off-by: Richard Palethorpe <io@richiejp.com>	2026-07-19 08:43:17 +02:00
mudler's LocalAI [bot]	40d35c0385	docs: onboarding overhaul, dedup, and error docs (#7711) (#10895) ... * docs: fix CPU image tag (latest, not latest-cpu) Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: use canonical localai/localai registry in models guide Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: replace dead llama-stable backend with llama-cpp Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: correct mitm-proxy intercept config and redaction tier Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: fix text-to-audio endpoint and broken notice block Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: fix VAD example, stale FAQ, broken link, CLI list, whats-new dump Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: render advanced/reference section indexes (consolidate _index) Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: remove duplicate getting-started build/kubernetes pages Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: fold container image reference into installation/containers Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: remove stale advanced fine-tuning page (superseded by features/fine-tuning) Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: fold distribution/longcat/sound pages into their parents Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: make getting-started index accurate and complete Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: carry one concrete model through the getting-started path Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: add end-to-end 'build your first agent' walkthrough Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: add runtime errors reference; consolidate troubleshooting from FAQ Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: add agent actions catalog Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: agent-scoped MCP, skills walkthrough, agentic disambiguation Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: add concrete gallery install lines to media feature pages Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: merge installation into getting-started (URLs preserved via aliases) Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: add Operations section; move operator pages and P2P API reference Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: journey-ordered top nav and grouped feature sections Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: add docs-with-code process gate (PR template + agent instructions) Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: remove em/en dashes from documentation prose Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>	2026-07-17 22:08:20 +02:00
LocalAI [bot]	3bb0d1cb49	feat(backend): add moss-tts-cpp text-to-speech backend (#10860) ... * feat(backend): add moss-tts-cpp text-to-speech backend Add a Go + purego backend wrapping the moss-tts.cpp ggml port of the OpenMOSS MOSS-TTS-Local v1.5 text-to-speech model (GPT-J local transformer decoded through MOSS-Audio-Tokenizer-v2), producing 48 kHz stereo audio with optional reference-audio voice cloning. Mirrors the qwen3-tts-cpp backend: dlopen the static-ggml shared library, bind the moss-tts.cpp C-API via purego, and serve the gRPC TTS method. A thin C shim holds the pipeline handle and copies engine PCM into a Go-freeable buffer. Wires the CI registration: backend-matrix.yml (CPU, CUDA 12/13, Intel SYCL f16/f32, Vulkan, ROCm, NVIDIA L4T, plus Darwin metal), backend/index.yaml metas and image entries pointing at mudler/MOSS-TTS-Local-Transformer-v1.5-GGUF, the root Makefile build targets, and the changed-backends.js path mapping. Assisted-by: Claude:claude-opus-4-8 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: list the moss-tts-cpp backend among the LocalAI-maintained engines Add moss-tts.cpp to the README "Backends built by us" table, the Text-to-Speech compatibility table, and the reference-audio voice-cloning backend list, so the new backend is documented alongside its peers. Assisted-by: Claude:claude-opus-4-8 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(moss-tts-cpp): pin moss-tts.cpp to the squashed single-commit release moss-tts.cpp history was collapsed to a single commit; repoint MOSSTTS_CPP_VERSION to ee722b8e9205ee9b1b1c398a4e87e4e393e9be41. Assisted-by: Claude:claude-opus-4-8 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * backend(moss-tts-cpp): add the moss-tts-cpp-development gallery meta The gallery had the -development image entries but no matching -development meta anchor (as locate-anything-cpp and depth-anything-cpp have), so the master build was not installable as a gallery backend. Add moss-tts-cpp-development mirroring the production meta with the -development capability image names. Assisted-by: Claude:claude-opus-4-8 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>	2026-07-17 09:26:12 +02:00
LocalAI [bot]	c1a891662c	refactor(settings): single declarative registry for runtime settings (fixes the #10845 bug class) (#10864) ... * feat(settings): add declarative runtime-settings field registry One fieldSpec row per RuntimeSettings field, with a reflection completeness spec so a field added without a registry row is a red test instead of a silently-dropped setting (the #10845 bug class). Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-fable-5 * refactor(settings): drive ToRuntimeSettings/ApplyRuntimeSettings from the field registry Behavior-preserving: ~350 hand-written per-field lines become two loops over runtimeSettingsFields, gated by a To->Apply->To round-trip spec. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-fable-5 * feat(settings): baseline-driven startup merge for persisted runtime settings ApplyRuntimeSettingsAtStartup compares the live config against DefaultRuntimeBaseline (option-less-run defaults incl. kong-injected flag defaults) instead of per-field == 0 guards. Fixes persisted lru_eviction_max_retries, tracing_max_items, agent_job_retention_days, memory_reclaimer_threshold, galleries and autoload flags being silently ignored at boot. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-fable-5 * fix(settings): registry-driven startup merge, applied before consumers loadRuntimeSettingsFromFile becomes a thin wrapper over ApplyRuntimeSettingsAtStartup and runs at the top of New(), before model configs capture app-level defaults. WithThreads stops eagerly resolving 0 so a persisted thread count survives restart while LOCALAI_THREADS still wins (#10845); the physical-core fallback moves after the merge. Also: run.go now injects the memory-reclaimer threshold unconditionally so the option-less boot matches DefaultRuntimeBaseline and a UI-saved threshold survives restart. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-fable-5 * refactor(settings): file watcher delegates to the registry merge; shared API-key merge Manual edits to runtime_settings.json now behave like a boot-time load (env still wins) instead of the inverted diverged-from-startup guard that ignored most manual edits. MergeAPIKeys dedups env keys in one place for the endpoint and the watcher. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-fable-5 * docs(settings): document unified runtime-settings precedence Document the single env/CLI > runtime_settings.json > defaults rule, applied identically at boot, on POST /api/settings, and on manual file edits, plus the two known limitations (default-valued env vars are indistinguishable from unset; API-changed fields hot-apply on the next restart only). Also add a completion debug log when the watcher applies runtime_settings.json. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-fable-5 * test(settings): reset the global VRAM cap leaked by the round-trip spec The round-trip spec applies vram_budget=12GiB, whose post-loop hook installs a process-global default cap; without a reset every spec ordered after it runs under that phantom budget. Also drop a stale enumeration in the ApplyRuntimeSettings doc comment. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-fable-5 --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>	2026-07-16 22:39:59 +02:00
pos-ei-don	06b4a29387	docs(config): document grpc.attempts timing + tuning guidance (#10868) ... The gRPC configuration table only listed the two fields with a one-line description each, without defaults, without explaining what the total load window looks like, and without hinting when a user should adjust them. In practice the default 20 attempts x 2 s = 40 s window is way too tight for large NVFP4 / FP8 models on slow storage or first-run CUDA-graph capture, and the resulting kill (exitCode=120, 'context canceled') looks like a backend crash even though the backend is still making legitimate forward progress. Extend the section with: - Defaults column (20 and 2) added to the table - Prose explaining that these govern the readiness handshake between LocalAI and a freshly spawned backend (Health polling loop) - Total-load-window formula - Concrete failure signature so users can recognize a timeout-kill vs. a real backend crash - Example configuration for a ~10 min cold-load window (grpc.attempts 140, attempts_sleep_time 5), with a note that inference-timeouts and the watchdog are unaffected.	2026-07-16 22:18:47 +02:00
LocalAI [bot]	8cec22c3b7	feat(vram): per-node VRAM allocation budget (LOCALAI_VRAM_BUDGET) (#10833) ... * feat(vram): add vrambudget primitive for per-node VRAM caps Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(vram): apply default VRAM budget in xsysinfo aggregate getters Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(vram): wire LOCALAI_VRAM_BUDGET flag to xsysinfo default budget Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(vram): persist VRAM budget via runtime settings with live apply Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * test(vram): reset process-global VRAM budget after runtime-settings spec Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(vram): add VRAM budget field to Settings page Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(vram): store and enforce per-node VRAM budget in the node registry Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(vram): apply per-node VRAM budget in router hardware defaults Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(vram): report worker VRAM budget in node registration The distributed worker now reports its operator-set VRAM budget string (LOCALAI_VRAM_BUDGET) to the server on registration. The worker keeps reporting RAW total/available VRAM and never sets the xsysinfo process-global budget (that stays standalone-only); the server resolves and enforces the budget uniformly (Task 6). Also closes a Task 6 gap: on re-registration, a struct Updates zero-skips an empty budget, so a worker that dropped LOCALAI_VRAM_BUDGET left the stale cap in place. For non-admin-override nodes the budget columns are now force-written (map Updates) even when empty, so removing the env var clears the cap; admin overrides are preserved unchanged. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * style(vram): drop em dash from worker-clear comment Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(vram): add node VRAM budget admin endpoints Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(vram): add node VRAM budget control to the node UI Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(vram): expose set_node_vram_budget MCP admin tool Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs(vram): document LOCALAI_VRAM_BUDGET and node VRAM budget UI Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(vram): avoid double-applying VRAM budget in GetResourceAggregateInfo The GPU-branch aggregate returned by GetResourceInfo is sourced from GetGPUAggregateInfo, which already caps total/free/used against the process-wide VRAM budget. GetResourceAggregateInfo then applied the budget a second time. For an absolute budget this is idempotent, but for a percentage budget b.Apply resolves the ceiling as a fraction of its input total, so a second pass yields P*(P*T) instead of P*T and distorts UsagePercent (read by the memory reclaimer in pkg/model/watchdog.go). Remove the redundant second application so the budget is applied exactly once, against the raw physical totals, upstream in GetGPUAggregateInfo. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(vram): implement SetNodeVRAMBudget on mcp assistant test stub The LocalAIClient interface gained SetNodeVRAMBudget; the stubClient in core/http/endpoints/mcp used by the assistant tests is a separate implementer and needs the method too (broke golangci-lint typecheck and both test jobs). Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>	2026-07-15 09:58:45 +02:00
LocalAI [bot]	3601174ce0	fix(distributed): make per-node backend upgrade actually upgrade (#10838) ... * test(core/http): make the suite's HTTP port overridable app_test.go and openresponses_test.go hardcoded 127.0.0.1:9090. When another service already listens on 9090 the suite does not fail fast: the server goroutine logs the bind error and the specs then poll whatever is squatting the port until Eventually times out. On machines where 9090 is permanently taken this makes the pre-commit coverage gate impossible to pass. Introduce testHTTPAddr, defaulting to 127.0.0.1:9090 (what CI has always used) and overridable via LOCALAI_TEST_HTTP_PORT for local runs. Assisted-by: Claude:claude-fable-5 golangci-lint Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(distributed): make per-node backend upgrade actually upgrade The node detail page's Upgrade button reused the node-scoped install path (POST /api/nodes/:id/backends/install). That fires NATS backend.install with force=false, and the worker's install handler is deliberately "ensure installed": when the backend binary already exists on disk it short-circuits without touching the gallery. Since only an installed backend can be upgraded, the whole chain was a guaranteed successful no-op - the UI then toasted "backend upgraded" without even waiting for the async job. Route upgrades through the real force-reinstall path instead: - BackendManager.UpgradeBackend now receives the ManagementOp (like InstallBackend already did) so implementations can honor op.TargetNodeID. - DistributedBackendManager.UpgradeBackend scopes the backend.upgrade fan-out to op.TargetNodeID when set, and errors when the target node does not report the backend as installed. - New POST /api/nodes/:id/backends/upgrade endpoint enqueues an Upgrade=true node-scoped op (async 202 + jobID, mirroring install). - NodeDetail UI calls the new endpoint and reports the dispatch ("Upgrading ... on this node...") instead of claiming success; the Operations panel tracks the actual job. Verified against a live local cluster (NATS + Postgres + two workers): the target worker stops the running process, force-reinstalls from the gallery and re-downloads the OCI image; the second worker receives no backend.upgrade event; upgrading a backend missing from the target node fails the job with a clear error. Assisted-by: Claude:claude-fable-5 golangci-lint Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>	2026-07-15 09:16:55 +02:00
LocalAI [bot]	bcc41219f7	feat: materialize Hugging Face model artifacts (#10825) ... * feat(config): add model artifact source contract Assisted-by: Codex:GPT-5 [Codex] * feat(downloader): add authenticated raw-byte progress Assisted-by: Codex:GPT-5 [Codex] * feat(huggingface): resolve immutable snapshot manifests Assisted-by: Codex:GPT-5 [Codex] * feat(models): add artifact storage primitives Assisted-by: Codex:GPT-5 [Codex] * feat(models): materialize pinned Hugging Face snapshots Assisted-by: Codex:GPT-5 [Codex] * feat(models): bind managed snapshots at runtime Assisted-by: Codex:GPT-5 [Codex] * feat(gallery): materialize model artifacts during install Assisted-by: Codex:GPT-5 [Codex] * feat(gallery): declare managed Hugging Face artifacts Assisted-by: Codex:GPT-5 [Codex] * feat(models): preload managed model artifacts Assisted-by: Codex:GPT-5 [Codex] * fix(gallery): retain shared artifact caches on delete Assisted-by: Codex:GPT-5 [Codex] * feat(models): report artifact acquisition progress Assisted-by: Codex:GPT-5 [Codex] * refactor(backends): load managed models from ModelFile Assisted-by: Codex:GPT-5 [Codex] * refactor(backends): load staged speech model snapshots Assisted-by: Codex:GPT-5 [Codex] * refactor(backends): use staged snapshots in engine backends Assisted-by: Codex:GPT-5 [Codex] * test(distributed): cover staged artifact snapshots Assisted-by: Codex:GPT-5 [Codex] * docs: explain managed model artifacts Assisted-by: Codex:GPT-5 [Codex] * docs: add product design context Assisted-by: Codex:GPT-5 [Codex] * feat(ui): show model artifact download progress Assisted-by: Codex:GPT-5 [Codex] * Eagerly materialize Hugging Face artifacts Materialize HF-backed model references as managed GGUF artifacts during load, with lazy download retained only as fallback. Assisted-by: Codex:GPT-5 [shell] * Refactor HF downloads through a shared executor Assisted-by: Codex:GPT-5 [shell] * drop Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>	2026-07-15 01:09:33 +02:00
LocalAI [bot]	bed5e7417c	docs: ⬆️ update docs version mudler/LocalAI (#10826) ... ⬆️ Update docs version mudler/LocalAI Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>	2026-07-14 23:53:28 +02:00
LocalAI [bot]	4056283aa4	[voice] feat: add managed voice cloning profiles (#10799) ... * feat(ui): add voice library workflow Give administrators a production-ready flow to record or upload consented reference audio, manage reusable profiles, inspect API usage, discover compatible models, and hand a saved voice directly to text-to-speech. Assisted-by: Codex:gpt-5 * feat(voice): add managed voice cloning profiles Make reusable reference voices manageable through the admin API instead of requiring model-directory and YAML edits. Discover compatible installed and gallery models from server-side backend capabilities, retain explicit model configuration controls, and stage saved references for supported backends. Expose profile management through REST and MCP, document backend-specific behavior, and cover the workflow from profile creation through real Qwen3-TTS synthesis. Harden the agent-job HTTP test against completion racing cancellation. Assisted-by: Codex:gpt-5 --------- Co-authored-by: Ettore Di Giacinto <mudler@localai.io>	2026-07-13 09:54:46 +02:00
LocalAI [bot]	b00422e45f	feat(backends): add LongCat video and avatar generation (#10792) ... * feat(backends): add LongCat video and avatar generation Assisted-by: Codex:GPT-5 [apply_patch] [exec_command] [web] * refactor(config): declare model I/O modalities Make model configs declare input and output modalities so capability discovery no longer branches on backend or checkpoint names. Complete the LongCat gallery and user documentation, make the SDPA patch apply to the pinned upstream revision, and stabilize the Agent Jobs race exposed by the required hook. Assisted-by: Codex:GPT-5 [web] --------- Co-authored-by: Ettore Di Giacinto <mudler@localai.io>	2026-07-12 23:58:46 +02:00
LocalAI [bot]	50cd897719	docs: refresh LocalAI homepage (#10780) ... * docs: refresh LocalAI homepage Reframe the homepage around LocalAI's modular multimodal runtime, native inference engines, deployment range, and built-in platform capabilities. Remove the outdated video in favor of current product visuals and clearer paths into the documentation. Assisted-by: Codex:gpt-5 * docs: give homepage a full-width canvas Let the product homepage opt out of Relearn's persistent sidebar and duplicate title while preserving the documentation shell on interior pages. Tighten the responsive bounds for narrow screens. Assisted-by: Codex:gpt-5 * docs: fit homepage to the Relearn content flow Remove the full-width shell exception and use a single-column homepage inside the standard documentation layout. This avoids competing scroll containers and the compressed split hero. Assisted-by: Codex:gpt-5 * docs: hide homepage scroll rail Preserve Relearn's content scrolling while removing the visible scrollbar beside the landing-page hero. Assisted-by: Codex:gpt-5 * docs: contain homepage sections within docs column Prevent landing-page headings, figures, and section grids from widening Relearn's content pane or exposing overflow rails. Assisted-by: Codex:gpt-5 * docs: remove nested homepage scrollbars Wrap the quick-start command within its column and suppress component-level scrollbar tracks across the landing page. Assisted-by: Codex:gpt-5 * docs: remove outdated gallery screenshot Drop the stale Model Gallery image from the homepage until a current product visual is available. Assisted-by: Codex:gpt-5 * docs: fix homepage architecture link Point the homepage CTA at the generated reference/architecture route. Assisted-by: Codex:gpt-5 --------- Co-authored-by: Ettore Di Giacinto <mudler@localai.io>	2026-07-11 09:33:41 +02:00
LocalAI [bot]	94bdc825dc	feat(backend): add moss-transcribe-cpp backend (MOSS-Transcribe-Diarize) (#10756) ... C++/ggml transcription + speaker diarization + timestamps backend. Purego dlopens libmoss-transcribe.so (ggml statically linked) from moss-transcribe.cpp and serves offline AudioTranscription, parsing the [start][Sxx]text[end] output into segments with nanosecond timestamps. Adds the importer (surfaces in GET /backends/known), backend-matrix (Linux + Darwin/metal), backend/index.yaml, and a gallery entry (default q5_k GGUF from mudler/moss-transcribe.cpp-gguf). Local L0 smoke (go build + go test ./... = 16 pass, golangci-lint 0 issues) passed against the real libmoss-transcribe.so. The pre-commit coverage gate (full pkg/core + tests/e2e) could not run in the authoring sandbox (no live models, port 9090 held); CI must enforce it before merge. Assisted-by: Claude:claude-opus-4-8 golangci-lint Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>	2026-07-09 23:27:11 +02:00
LocalAI [bot]	5569b2de56	feat(config): context_size: -1 to auto-use model's full trained context (#10752) ... * feat(config): clamp negative context_size to default in EffectiveContextSize Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-4-8 [Claude Code] * feat(config): resolve context_size=-1 to model trained max with VRAM warn Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-4-8 [Claude Code] * fix(config): treat negative context_size as unset when GGUF is unparseable Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-4-8 [Claude Code] * docs(config): document context_size=-1 auto-max Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-4-8 [Claude Code] * docs(backend): drop em dashes from EffectiveContextSize comment Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-4-8 [Claude Code] --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>	2026-07-09 09:03:40 +02:00
LocalAI [bot]	40dae953f4	feat: interleaved thinking with tool calls (reasoning_content alias + Anthropic thinking blocks) (#10744) ... * feat(schema): accept reasoning_content as inbound alias for reasoning Interleaved-thinking clients (cogito, vLLM/DeepSeek-style) emit reasoning_content on assistant turns. Accept it as an inbound alias so reasoning survives the tool-result loop; canonical reasoning wins when both are present. Emission is unchanged (still reasoning). Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * test(schema): pin interleaved reasoning+tool_calls round-trip Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * test(openai): pin reachedTokenBudget truncation detection Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(anthropic): add thinking and signature fields to content blocks Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(anthropic): parse inbound thinking blocks into reasoning Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(anthropic): emit thinking blocks with synthetic signature on tool turns Extract buildAnthropicContentBlocks so non-streaming content assembly is unit-testable, and prepend a thinking block (with an opaque synthetic signature) before text/tool_use blocks when the request opts into thinking. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(anthropic): stream thinking_delta and signature_delta before tool_use Extract anthropicStreamSequence so the streaming block order is unit-testable, and emit content_block_start(thinking) -> thinking_delta -> signature_delta -> content_block_stop before the tool_use block sequence when thinking is enabled. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: add interleaved thinking with tool calls guide Add a features guide describing interleaved thinking: an assistant turn carrying reasoning and tool_calls together, the reasoning-round-trip contract (including the reasoning_content inbound alias and Anthropic thinking blocks with a synthetic signature), per-backend enablement (reasoning_format for llama.cpp, reasoning_parser/tool_call_parser for vLLM/SGLang plus the vLLM auto-config hook), a worked request/response example, and known limitations. Cross-link from model-configuration, text-generation, and openai-functions. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io>	2026-07-08 16:45:43 +00:00