* feat(sound): expand simple prompts with chat models
Allow callers to select an installed chat model for sound prompt
expansion. Validate its JSON before audio generation and preserve
explicit instrumental and language controls. Keep backend defaults
when expansion is omitted, including native Python ACE-Step sampling.
Assisted-by: Codex:gpt-6
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(sound): map expansion by loaded audio family
Map neutral expanded fields where the resolved audio family is known.
Keep unmarked requests unchanged and reject unsupported expansion before
inference. Clear YuE2 and HeartMuLa transcripts to prevent lyric fallback.
Assisted-by: Codex:gpt-6.1-sol
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(sound): choose a prompt expansion model
Require an explicit Simple choice and remember it separately from chat.
Clear unavailable choices instead of silently switching language models.
Preserve the choice in history and restore it when editing a past result.
Keep Backend default and Advanced requests compatible with existing APIs.
Document family support and align the published optional request schema.
Verify selection, request fields, persistence and history in the browser.
Assisted-by: Codex:gpt-6.1-sol
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix(sound): authorize both generation models
Check the resolved audio model and explicit expansion model before
loading either. Permission lookup failures stop generation.
Assisted-by: Codex:gpt-6
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix(sound): enforce JSON during prompt expansion
Constrain expansion output with the existing JSON grammar before decoding.
Require a llama-cpp chat model so unsupported backends cannot ignore it.
Keep strict field validation and fail before generating audio.
Assisted-by: Codex:gpt-6
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>
* feat(llama-cpp): add lazy_mode model option
Expose upstream --lazy-mode (on, auto, off) as a model option, for
example `lazy_mode:on`. It controls on-demand reading of large tensors
such as per-layer embeddings; `on` requires mmap.
The option is also accepted as `lazy-mode` or `lzm`. Invalid values log
a warning and keep the upstream default (auto). The pinned llama.cpp
already provides the lazy_mode field in common_params.
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* chore(llama-cpp): bump llama.cpp to c0fd78626405
Update the default llama.cpp pin to the current upstream master. The
changes since the old pin that the backend touches are additive: a new
common_decision_type value, new mtmd audio-stream and download helper
declarations. The two server patches still apply in order, and the
common_params fields and server headers the backend uses are unchanged.
Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Claude Sonnet 5.5 <noreply@anthropic.com>
* feat(llama-cpp): add slot prompt-cache save and restore API
Add POST /v1/slots/save and POST /v1/slots/restore. They write one
llama.cpp slot's prompt cache (KV state) to a file and load it back,
so a client can warm a long system prompt in a few hundred
milliseconds instead of re-running prefill. Refs #12685.
The new SlotCache gRPC call posts the same slot save and restore
tasks the llama-server /slots endpoint uses. It is off unless the
model sets the new slot_save_path option, so existing models are not
affected. The /slots monitoring endpoint is not needed here: the
backend has no HTTP server.
The file name comes from the caller, so it is checked twice, in Go
and again in the backend. It must be one path component: no empty
name, "/", "\", "..", NUL, control characters or absolute path. The
resolved path, with symbolic links followed, must be a direct child
of slot_save_path. The routes are admin only because they write
files on the backend host.
Assisted-by: Claude:claude-sonnet-5-5
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix(llama-cpp): answer 501 when a backend lacks slot cache
A backend that does not implement the SlotCache rpc returns gRPC
UNIMPLEMENTED. The API passed that text through, so the client saw
"unknown method SlotCache". Map the status to a typed error in
core/backend and return 501 with a fixed message instead. Every other
error path is unchanged.
Make the SlotCache comments in backend.proto backend-neutral: slot is
the backend's state slot, filename must stay inside the save directory,
and an empty model_identity means the backend does not check it. Only
comments change, no field or name.
Add tests that the identity sent is the configured model, and for the
error mapping.
Assisted-by: Claude:claude-sonnet-5-5
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix(llama-cpp): issue slot cache IDs on the server
The slot save and restore API let the client pick the file name.
Restore could load any file in slot_save_path, and the symlink check
ran before llama.cpp opened the file.
The backend now issues the name. A save returns a random 128-bit ID
(32 lowercase hex characters, read from /dev/urandom) and never
overwrites an existing file. Files live in a 0700 directory per model,
named from the SHA-256 of the model identity, with a manifest.json
that records each save. The manifest is written atomically and a
corrupt one stops both save and restore.
A restore takes the ID, finds it in the manifest, refuses an entry of
another model, builds the path from the entry and checks with lstat
that it is a plain file of the recorded size. The directory mode is
the main defence against another local user, since llama.cpp still
opens the path itself.
Each model keeps at most 32 saves and the oldest is deleted first. A
file over 8 GiB is deleted after the save, because llama.cpp does not
report the size before it writes. Responses carry no host path.
The HTTP bodies change: save takes {model, slot}, restore takes
{model, slot, id}, and an unknown ID returns 404. In the proto,
SlotCacheRequest.filename and SlotCacheResponse.filename become id.
SlotCache no longer calls checkModelIdentity, which reads a field this
request does not have.
Assisted-by: Claude:claude-sonnet-5-5
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix(llama-cpp): copy slot_cache files in prepare.sh
grpc-server.cpp includes slot_cache.h, but prepare.sh copies the helper
headers into llama.cpp/tools/grpc-server/ one by one and skipped it. The
llama-cpp, turboquant and bonsai builds share this step, so they all
failed with "slot_cache.h: No such file or directory".
Copy slot_cache.h and slot_cache_test.cpp, which CMakeLists.txt builds
when LLAMA_GRPC_BUILD_TESTS is on.
Assisted-by: Claude:claude-sonnet-5-5
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* chore(deps): bump LocalAGI to pick up the scheduler start/stop fix
LocalAGI's scheduler could hit a nil pointer in run when Start and Stop
raced. That made the core/services/agentpool tests panic at random and
turned tests-linux red.
Move to mudler/LocalAGI@7aa0c8fea0, the merge of
mudler/LocalAGI#519 ("make Start and Stop safe to call concurrently").
The new module version also adds a few indirect requirements to go.mod
and go.sum.
Assisted-by: Claude:claude-sonnet-5-5
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
* fix(audio): use captions as the default YuE2 style
Studio sends a caption, but YuE2 requires a style request option.
Default audio-cpp style from caption while preserving explicit options
and the caller's parameter map. Document the Studio fields.
Assisted-by: Codex:gpt-6
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix(audio-cpp): map captions to style in backend
Move the YuE2 caption fallback into the C++ request builder as requested.
Preserve explicit style options, including empty values, and move the
regression cases from the Go layer into the backend suite.
Assisted-by: Codex:GPT-6
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
Bump LLAMA_VERSION to b76b13379d3b (upstream 0.7.0 plus later
commits). This is the same one-line change as the bot PR #12725.
Add the moe_cache_mib model option. It sets upstream's
moe_cache_size, a GPU cache for MoE experts kept in host memory,
from a size in MiB. It is off by default. Invalid, negative or
non-numeric values are ignored with a log line. Forks that predate
the field ignore the option, using the same prepare.sh probe as the
other fork-skew switches.
Document the option, and cover the MiB to bytes conversion with a
standalone unit test.
Assisted-by: Claude:claude-sonnet-5-5 g++
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
* ⬆️ Update ggml-org/llama.cpp
Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* fix(llama-cpp): read the rendered chat prompt through str()
llama.cpp now returns the chat prompt as a common_chat_prompt instead of
a std::string. Convert it with a small helper that still accepts the plain
string used by older forks that share this source.
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
* ⬆️ Update ggml-org/llama.cpp
Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* fix(llama-cpp): preserve chat session state
Newer llama.cpp parsers return template state outside the request JSON.
Pass that state to both inference tasks and response readers so grammar,
tool calls, and reasoning remain available in both chat paths.
Detect the parser API during preparation to preserve older fork builds.
Assisted-by: Codex:gpt-6
---------
Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
* ⬆️ Update 0xShug0/audio.cpp
Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
* fix(audio-cpp): mirror the turn detection task
The upstream enum adds TurnDetection, so the exhaustive conversion fails
to compile. Extend both conversions and preserve the RPC admission rules.
Test that turn detection cannot route through VAD or another existing RPC.
Assisted-by: Codex:gpt-6
---------
Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
Saved voices send ref_text, but Fish Audio requires reference_text.
Derive the canonical parameter while preserving explicit overrides.
Both TTS modes use the shared builder.
Add regression cases and document the parameter alias.
Assisted-by: Codex:gpt-6
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
Newer ROCm releases split the rocBLAS and hipBLASLt TensileLibrary data
into one folder per GPU architecture (lib/hipblaslt/library/gfx1151/...).
The run.sh of the ROCm-capable backends exports ROCBLAS_TENSILE_LIBPATH and
HIPBLASLT_TENSILE_LIBPATH as the parent folder, and both libraries only look
directly in that folder, so they miss every kernel:
rocblaslt error: Cannot read ".../hipblaslt/library/TensileLibrary_lazy_gfx1151.dat"
hipModuleLoad failed: .../hipblaslt/library/Kernels.so-000-gfx1151.hsaco
and fall back to slower code paths.
rocm_tensile_dir keeps the folder when it has files at the top level (the
older flat layout) or several architecture folders, and descends into the
architecture folder when the bundle carries exactly one.
Assisted-by: Claude:claude-opus-5-5
Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de>
* fix(schema): preserve SystemOne image inputs
Assisted-by: OpenAI
* test(schema): follow Ginkgo conventions for decision inputs
Assisted-by: OpenAI
* feat(llama-cpp): dispatch native decisions through Score
Upgrade the stock dependency and reconcile Score/TTS patches. Reuse native decision parsing, tasks, formatting and response-reader cleanup; preserve ordinary scoring admission and guard older dependencies.
Assisted-by: OpenAI
* refactor(systemone): share request and model validation
Assisted-by: OpenAI:gpt-5
* fix(systemone): preserve HTTP wire-byte validation limit
Keep structural validation separate from the serialized internal request bound so HTML escaping cannot reject valid HTTP payloads.
Assisted-by: OpenAI:gpt-5
* feat(systemone): bound images and account native decisions
Preserve public wire limits independently from router serialization. Reject unsupported NER images, map native request/capability errors, and stamp explicit usage once. Advertise decisions for stock llama-cpp.
Assisted-by: OpenAI
* fix(systemone): record usage on registered native route
Exercise real registration and billing with a mock native backend. Reject empty native responses, malformed image URLs, trailing JSON, and wire overflow including whitespace.
Assisted-by: OpenAI
* feat(router): add lazy native decision transport
Bind named models through internal ModelSystemOne calls with shared validation and bounded abandoned operations. Remove request and echoed-error contents from decision traces.
Assisted-by: OpenAI:gpt-5
* feat(router): classify overlapping policies with native decisions
Ask independent noul questions, validate probabilities and preserve first-superset routing. Wire the central factory with config-sensitive invalidation and cancellation-safe resolution. Document native framing and bounded operation limits.
Assisted-by: OpenAI:gpt-5
* feat(gallery): add pinned Julia-1 native decision model
Add a separate text-only llama-cpp Q8 entry with pinned Apache-2.0 source provenance and checksum. Installed using the gallery installer and exercised choice, score and noul on CPU.
Assisted-by: OpenAI
* test(router): verify native decisions through central factory
Add an opt-in real-model Ginkgo integration covering the native Go loader and C++ transport, token usage, independent overlapping labels, and candidate selection. Document owned-server execution and the intentionally non-quality threshold.
Assisted-by: Codex:gpt-5
* fix(llama-cpp): align upstream pin and preserve decision signatures
Advance to bed0a856 without losing the automated upstream bump. Detect full-request fill_task support at compile time and forward every question for Nimble framing while retaining the earlier native signature. Preserve reconciled SCORE/TTS patches; add standalone compatibility coverage.
Assisted-by: Codex:gpt-5
* feat(gallery): add native decision family defaults
Pin Laya, Kev-4B, lev, OpenJev and Nimble artifacts. Verify Laya/Kev/lev gallery installs and CPU contracts on both native pins; clearly mark OpenJev/Nimble runtime validation pending and their noncommercial licenses.
Assisted-by: OpenAI
* docs(decisions): clarify integrated Nimble prerequisite
Record the exact combined backend pin while retaining pending OpenJev and Nimble installation/runtime validation status.
Assisted-by: Codex:gpt-5
* fix(gallery): indent native decision model sequences
Match repository yamllint indentation for Laya, Kev, lev and OpenJev list fields. Parsed gallery data is unchanged; reproduce CI gallery lint failure before the whitespace-only fix and pass the same command afterward.
Assisted-by: Codex:gpt-5
* docs(decisions): record OpenJev and Nimble CPU validation
Record gallery installation, checksum/metadata verification and multiquestion native smoke results on bed0a856. Retain noncommercial and text-only limitations without accuracy or deterministic-output claims.
Assisted-by: OpenAI
* fix(ui): expose native Decisions router classifiers
Select classifier models using metadata-driven capability routing, retain tuned thresholds, and validate native decision selections before saving. Cover both native backends and create/save/reopen in the real React editor.
Assisted-by: Codex:gpt-5
* fix(router): exclude aliases from native decision discovery
Check the originally named config before advertising native Decisions eligibility. Retain target capability inheritance for ordinary generation aliases. Exercise the actual capabilities endpoint with native models on both backends, aliases, and disabled models.
Assisted-by: Codex:gpt-5
* feat(systemone): share bounded multimodal input validation
Preserve text wire limits while admitting bounded PNG/JPEG decision input. Share collection and header validation across internal and public callers and keep the native runner response budget independent.
Assisted-by: OpenAI:API-assistant
* fix(systemone): bound admission lifetimes and validate complete images
Retain shared admission leases through actual work completion, including abandoned internal operations. Decode bounded image pixels, cap public native responses before usage stamping, and preserve oversized malformed text status precedence.
Assisted-by: OpenAI:API-assistant
* fix(router): classify images before media fetching
Preserve ordered structured probes for native decisions. Defer OpenAI
media preparation until routing selects the served model, so rejected
decision URLs cannot trigger downloads before shared validation.
Guard direct image collection with context-aware shared admission.
Keep text classifiers and embedding caches from discarding image input.
Retain fail-closed classifier configuration and runtime fallback policy.
Add middleware, typed-content, admission, cancellation and cache tests.
Assisted-by: OpenAI:API-assistant
* fix(router): bound extraction before serialization
Check probe budgets before copying text or marshaling message state.
Count JSON escaping so oversized internal inputs fail before allocation.
Preserve typed Anthropic blocks through selected-model conversion and
fallback. Keep retry coverage in Ginkgo without global test registration.
Assisted-by: OpenAI
* fix(router): bound supported probe serialization
Arbitrary structs can bypass the probe budget through pointer marshalers,
string tags, and promoted fields. Accept concrete chat schema types and
plain JSON values instead of emulating arbitrary struct serialization.
Budget escaped direct prompts before marshaling so raw length cannot hide
serialized expansion. Preserve runtime fallback and reject oversized
input before invoking the decision runner.
Add Ginkgo allocation, boundary, and marshaler invocation regressions.
Six-package tests, three-package race tests, and full-T2 delta lint pass.
Assisted-by: OpenAI:GPT-5 golangci-lint
* feat(decisions): enable bounded OpenJev images
Validate native decision images before permissive media parsing and pixel
allocation. Require both decision image support and a vision projector;
missing or audio-only projectors cannot silently become text decisions.
Pin the OpenJev Q8 projector and document its license and disk footprint.
Add native safety tests, canonical limit parity, gallery and load-option
checks, and a reproducible CPU direct-RPC contrasting-image smoke.
Assisted-by: OpenAI:GPT-5
* fix(decisions): reject incomplete image streams
stb accepts corrupt PNG Adler checksums and truncated JPEG scans.
Use bounded zlib validation and strict libjpeg decoding before parsing.
Keep dimension and aggregate pixel checks ahead of decoder allocations.
Wire decoder dependencies into native builds and runtime packaging.
Add regressions for appended EOI and embedded marker bypasses.
Assisted-by: OpenAI:GPT-5
* fix(ci): gate native decision image validation
Run the decoder security tests outside the stdlib-only native suite.
Fetch vendor headers at the backend pin and provision decoder dependencies.
Gate Go limit parity and production CMake wiring without model downloads.
Assisted-by: OpenAI:GPT-5
* test(decisions): cover multimodal public API paths
Exercise shared image contracts through the registered HTTP routes and
external mock backend. Add opt-in cached gallery installation and real
OpenJev image decisions through SystemOne and both routing APIs.
Assisted-by: Codex:gpt-5
* test(decisions): assert isolation and cache bypass
Observe external RPC calls and compare complete classifier history.
Winner-only and cache-miss checks could hide dropped history or cache use.
Give real inference its own application and model directory so shared
backend mappings and loaded processes cannot affect mixed suite order.
Assisted-by: OpenAI:ChatGPT
* test(decisions): isolate fixture globals
Disable optional global services in the isolated HTTP fixture and register
cleanup before setup assertions. Verify meter provider identity survives
fixture creation and destruction.
Snapshot observed usage before assertions so failures cannot retain the
mutex. Require a successful usage stamp before checking error responses.
Assisted-by: Codex:gpt-5 golangci-lint
* fix(application): honor optional telemetry controls
Skip failover gauge registration when metrics are disabled. Register
against the application meter rather than looking up the global provider.
Allow embedders to retain the bounded routing log without billing stats.
Keep the existing default when stats are disabled. The isolated HTTP
fixture uses this option without losing its native router assertions.
Assisted-by: Codex:gpt-5 golangci-lint
---------
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
