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Commits
| Author | SHA1 | Message | Date | |
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 mudler-agentandEttore Di Giacinto
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24a9feecbb |
feat(api): add OpenAI Decisions endpoint (#12603)
* feat: add OpenAI Decisions adapter with validated ordered answers Share SystemOne execution and preserve ordered, typed Decisions answers. Reject null probabilities and derive scores from the emitted distribution. Cover conversion and handler contracts using a valid generated PNG fixture. Assisted-by: nib:gpt-6-astra Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix: preserve Decisions choice types and empty score labels Keep canonical JSON values in model-visible choice criteria and represent probability label presence explicitly. Add conversion and serialization regressions. Assisted-by: nib:gpt-6-astra Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat: wire the OpenAI Decisions route Expose the adapter through the shared Decisions feature gate and usage middleware. Test real route registration with a fake backend, including unauthenticated access, user permissions, and exact usage accounting. Assisted-by: nib:gpt-6-astra Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: document OpenAI-compatible decisions and discovery Describe the shared local execution contract, typed questions, image limits, and backend accounting. Publish the Decisions route in Swagger and retain the existing SystemOne discovery tag. Use documented loose object placeholders for JSON unions that Swagger 2 cannot express. Assisted-by: nib:gpt-6-astra Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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mudler-agentandEttore Di Giacinto
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6343a2dc6f |
feat(voice-detect): report the encoder family so audio-registered voices are fingerprinted (#12499)
* feat(voice-detect): report the encoder family so audio-registered voices are fingerprinted
A voice registered from audio through the voice-detect backend had no
encoder fingerprint, so the parakeet-cpp backend could not tell whether
it was comparable with the loaded speaker model and could only fall back
to the file-name rule.
The voice-detect backend now binds the three new libvoicedetect accessors
with a symbol probe (an older library still loads and reports nothing),
copies the borrowed strings at once and never frees them. It also hashes
the model file once at load. VoiceEmbedResponse gains two optional
fields, encoder_family and encoder_weights ("sha256:<hex>", empty when
the model is not a plain file).
/v1/voice/register stores them as encoder_family and a new
encoder_weights field in the registry entry; model keeps the encoder
name, so the 1:N identify filter by name is unchanged for old entries.
A voice with a family is sent to the backend whatever its file name, and
the backend decides by family. /v1/voice/identify compares the family
when both the stored voice and the probe have one. Old entries load
without the fields and stay unfingerprinted.
Assisted-by: Claude:claude-sonnet-5-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* docs(voice-detect): say how a voice with weights but no family is treated
Assisted-by: Claude:claude-sonnet-5-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* fix(voice-detect): mark the model file open as intended for gosec
Assisted-by: Claude:claude-sonnet-5-5 [Claude Code]
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
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Plamen K. Kosseff
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c03acb0647 |
feat(models): report per-model disk usage in API and WebUI (#12551)
New admin endpoint GET /api/models/storage reports disk usage of the installed models: each model's files and sizes, files shared between models counted once, and configured files that are missing from disk. The models WebUI page shows a usage summary, each model's file table, and the full file list with per-file status. Assisted-by: Claude Code:claude-fable-5 Signed-off-by: Plamen K. Kosseff <p.kosseff@gmail.com> |
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mudler-agent
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cd604b5c5b |
fix(distributed): bound, stop and cancel model loads with leases and worker operations (#12524)
Fence model load jobs by generation, lease them on the database clock, bound the work on the worker with operations and a process-group watchdog, and add one stop path with a load-cancel API. See the pull request for the design, the rolling upgrade notes and the test evidence. Assisted-by: Claude Code:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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localai-org-maint-botandEttore Di Giacinto
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6b794651a4 |
feat(diarization): return sound events with include_sounds (#12544)
* feat(diarization): return sound events with include_sounds
A client that wants text, speakers, voice prints and sound events had to
make a diarization call and a separate sound call. Add an include_sounds
request field to /v1/audio/diarization that adds a sounds array of closed
events {start, end, label, confidence}, in seconds.
The parakeet-cpp backend runs a tagger-only scene stream over the clip,
the same stream and thresholds the live path uses, so a clip gives the
same events offline and live. A model with no sound_model companion, or a
backend that does not report sound events, fails with 501 and the stable
code include_sounds_unsupported instead of an empty list. The proto
carries sounds_included so an empty list still means "nothing heard".
The localai-proxy backend forwards the field. Swagger, docs and the
e2e mock backend are updated.
Assisted-by: Claude:claude-sonnet-5-5 [protoc swag go]
* feat(gallery): add parakeet-cpp-multilingual-diarization-speakers-sounds
Same as parakeet-cpp-multilingual-diarization-speakers (TDT 0.6B v3,
Nemotron-3-Diarization, WeSpeaker) plus a CED-Tiny sound_model, so one
model name serves /v1/audio/diarization with include_text,
include_speaker_profiles and include_sounds. It declares the
sound_classification usecase like the realtime scene entries.
Assisted-by: Claude:claude-sonnet-5-5
---------
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
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mudler-agentandEttore Di Giacinto
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79a7631cc5 |
feat(parakeet-cpp): encoder fingerprint for speaker naming, VAD trim and word filter options, pin bump (#12491)
* chore(parakeet-cpp): bump parakeet.cpp to 2de154c Brings in the speaker registry encoder fingerprint, the VAD segment trim and the opt-in word filter, a fix for a per-call thread count that stayed set on the process-wide backend after a Silero VAD pass, and bundle components loaded from memory. Assisted-by: Claude:claude-sonnet-5-5 [Claude Code] * feat(parakeet-cpp): encoder fingerprint for speaker naming, vad_trim and guard_* options Speaker naming. A registered voice now carries the encoder that made it: the embedding family (voicedetect:<arch>:<name>:<dim>) and the sha256 of the weights. The backend reports the family of the loaded speaker model in Status, voice enrollment from speaker_profiles stores it as encoder_family (old entries load without it), and the registry sent to parakeet.cpp is built with parakeet_capi_speaker_registry_add_embedding_fp. The library then refuses a registry of another encoder family and the error names both families; another quantization of the same family only warns. A voice with only a weights hash gets the loaded family when the hashes are equal. Voices without a fingerprint (registered from audio: libvoicedetect cannot report one) keep the file-name rule and are used with a warning. The library cannot mix them with fingerprinted voices in one registry, so a request that has any uses the old registry for all. speaker_strict:true drops them instead. A library without the symbols behaves as before. Transcription. vad_trim (seconds, 0 keeps the whole cuts) goes through the VAD options JSON, so it reaches /v1/vad and the segmenter. The guard_* options guard_min_local_conf, guard_local_radius and guard_drop_punct_only turn on the word filter through parakeet_capi_transcribe_path_json_with, or through the segmenter with vad:true. They are off by default, bad values fail the load, and a library without the symbol fails it with a clear message. The dropped word count is logged at debug level. Assisted-by: Claude:claude-sonnet-5-5 [Claude Code] --------- Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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Stefan Walcz
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5f5feea15a |
fix(agentpool): keep the conversation in the agent web chat (#12410)
* feat(agents): keep the web chat history between messages The agent chat endpoint ran every message as a fresh job (ag.Ask(WithText(message))), so a follow-up such as "add two days to item 3 and recalculate" never saw the answer it referred to. Agents then rebuilt their reply from scratch instead of changing it. Use the agent's own conversation tracker, as the Telegram and Slack connectors already do: send the earlier turns with the new message and record successful answers. Failed, cancelled or empty runs are not recorded, and the tracker drops a conversation after the agent's last_message_duration of inactivity. The distributed (NATS) chat path is unchanged. Assisted-by: Claude:claude-opus-5-5 ginkgo Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de> * fix(agents): keep each web chat conversation's history separate Review on this PR: the first version kept the history in the agent's conversation tracker under one fixed key per agent. The web UI keeps several conversations per agent (New Chat, switching, Clear) and did not send which one a message belongs to, so the hidden history mixed them: a new chat received the previous chat's turns, and Clear only cleared the screen. The client now sends the earlier turns of the conversation it is showing as `history` with POST /api/agents/:name/chat, and the server keeps no web chat history of its own. Each conversation only ever sees its own turns; New Chat and Clear start without history. The server uses only user and assistant turns with text, bounded to the most recent 40 turns and 64,000 characters. `history` is optional, so existing callers keep the previous behaviour (no history); the distributed (NATS) path does not forward it yet. Tests: two conversations of one agent stay apart, an empty history (New Chat or Clear) starts fresh, system/tool/empty turns are dropped, the bounds keep the most recent turns; the UI helper that builds the history from the visible messages has node --test coverage. Docs: features/agents.md describes `history` and the web UI behaviour. Assisted-by: Claude:claude-opus-5-5 ginkgo Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de> --------- Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de> |
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mudler-agentandEttore Di Giacinto
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99043b442c |
feat(router): route with native decision models (#12449)
* 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> |
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mudler-agentandEttore Di Giacinto
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e4fa051ee3 |
refactor(distributed): put the NATS-only paths behind interfaces (#12395)
* feat(messaging): add shared subject rules Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * test(messaging): cover BroadcastRoots, ControlRoots and SubjectRoot Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(messaging): add Broadcaster and enforce subject rules in every carrier Broadcaster is the fan-out half of MessagingClient. The NATS client and the in-memory FakeBus now refuse a subject outside the served roots and any wildcard other than a whole single token, and FakeBus shares MatchSubject instead of its own copy. FakeBus Unsubscribe now removes its own subscription instead of the first one with the same subject. A shared conformance suite in messagingtest runs against both carriers. The distributed e2e specs that used invented test.* subjects, and the one that subscribed with a > filter, now use subjects from subjects.go. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * refactor: depend on Broadcaster where only publish and subscribe are used Narrowed to messaging.Broadcaster: nodes/staging_progress.go, nodes/install_progress_publisher.go, galleryop/operation.go, galleryop/service.go, agentpool/user_services.go, agentpool/agent_jobs.go, openresponses/store.go, openresponses/sync.go, syncstate/syncstate.go, finetune/service.go, quantization/service.go and failover/distsync/distsync.go. SubscribeJSON now takes a Broadcaster because it only calls Subscribe, which lets the narrowed consumers use it. Stayed wide: worker/supervisor.go, because its client field also serves the SubscribeReply handlers in worker/lifecycle.go. The request/reply, queue and wiring files (nodes/unloader.go, nodes/file_stager_s3.go, jobs/dispatcher.go, agents/dispatcher.go, agents/events.go, worker/file_staging.go, cli/agent_worker.go, http/app.go) are unchanged by design. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * refactor(nodes): name the no-route condition and confine the carrier error Consumers matched nats.ErrNoResponders, which names an absence, to demote a node. They now match ErrNoRoute, the control path maps the carrier's failure onto it, and timeouts and worker refusals are pinned as not being no-route. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs(nodes): state which FileStager implementations return ErrNoRoute Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * refactor(nodes): build backend clients through one node-aware seam Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: describe the distributed transport seams Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: correct comments that overclaim after the seams refactor Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(agent-worker): refuse an unserved LOCALAI_AGENT_SUBJECT at startup The messaging client now refuses a subject whose root no carrier serves. An agent worker started with a custom LOCALAI_AGENT_SUBJECT such as tenant-a.agent.execute used to start and then wait on a subject the frontend never publishes to. After the subject rules landed it exited at subscribe time with an error that did not name the setting. Behaviour change: the worker now checks LOCALAI_AGENT_SUBJECT before it registers or connects, and exits with an error that names the variable and says to use a served subject under the agent root, for example agent.execute. The served roots are not widened: a custom root was never delivered by the frontend, and a wider set would reopen the drift the subject rules exist to close. The flag help and the agent worker docs state the constraint. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * test(nodes): pin the reactions to ErrNoRoute Three callers react to ErrNoRoute and had no spec: the reconciler's upgrade drain falls back to the legacy forced install, the reconciler marks the node unhealthy when a pending op has no route, and the backend-op fan-out marks the node unhealthy. Each spec drives the real caller with a scripted no-responders reply and reads the result from the registry or the recorded requests. A fourth spec pins the other side: a pending op that times out leaves the node healthy and only counts the attempt, so mapping timeouts onto ErrNoRoute would fail here. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * test(messaging): pin client subject checks and fail the carrier suite in CI Add specs that call Publish, Request, Subscribe, QueueSubscribe, SubscribeReply and QueueSubscribeReply on a client with no connection. Each call must return ErrUnservedSubject for bogus.thing and ErrUnsupportedWildcard for jobs.>. This proves that the subject check runs before the connection is used, and needs no server. The NATS conformance suite is the only check that runs the subject rules against a real carrier. Before this change it skipped without output when Docker was missing. Now it fails when CI is set, so a Linux runner without Docker cannot hide it. It still skips on local runs and on macOS CI, which has no Docker. Add SubjectNodeBackendInstallProgress to the list of constructors that must build served subjects, and ask contributors to extend the list. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: state what ErrNoRoute may change, and group the distributed guides The seams note said MarkUnhealthy was the only state change allowed on ErrNoRoute. A pending backend op still records the failed attempt, counts toward the reconciler's retry limit and is dead-lettered after the maximum attempts. The note now says that MarkUnhealthy is the only change to the node's own state, and that the per-op accounting is not a verdict about the node. The note also documents that the NATS conformance run fails under CI when Docker is missing. The distributed-seams row moves next to the distributed-state row in the topics table. The liveness ping spec header now says no route is a reason to skip the worker, not proof that the worker is gone. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * refactor(nodes): give the backend client factory the node id Mechanical: the method gains a nodeID parameter and the eight test fakes are updated. No behaviour change. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * refactor(nodes): drop the optional node-aware factory The node id is now in the main method, so the optional interface and its helper had no behaviour of their own. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * refactor(nodes): dial backend probes through the client factory Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * refactor(nodes): dial workers' file servers through a per-node dialer Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * refactor(http): proxy backend logs through the per-node worker dialer The admin backend-logs proxy (list, lines and the WebSocket stream) now reaches a worker through the same per-node dialer as the HTTP file stager, so every frontend-to-worker dial goes through one seam. The shared direct dialer keeps alive for 15s where the proxy used 30s. Harmless for requests bounded at 15s. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(http): keep the backend-logs proxy independent of the admin connection The proxy request had no context before the dialer change and is bounded only by its 15s timeout. Keep it that way. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * refactor: move the worker control payloads to workerctl Mechanical move of the request and reply structs, the install progress event and the file payloads out of messaging. The verbs no longer belong to one carrier. No alias is left behind. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * refactor(worker): serve the lifecycle verbs through a controlServer The worker registers one handler per verb and a NATS server maps each verb to its subject. Registration errors now name the verb. node.stop is served with SubscribeReply, which is identical on the wire because the handler never replies. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * refactor(worker): report install progress through the control sink Install and upgrade now emit download progress through the sink the control server hands them. The debounce and the terminal flush stay in the handler path, built over that sink by the new nodes.NewDebouncedInstallProgressSink, which replaces NewDebouncedInstallProgressPublisher. The subject and payload on the wire are unchanged. The supervisor no longer holds the bus, and installFn and upgradeFn let specs drive both verbs without a gallery. The malformed-request log lines are restored for install, upgrade, backend.delete, model.unload, model.stop and model.delete, with the reply bytes unchanged. The signal adapter is renamed noReply, which also lets worker.go import os/signal without an alias again. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * refactor(worker): serve the file-staging verbs through a controlServer An empty list-dir answer is now {} rather than {"files":null}, because the typed reply omits an empty Files slice. The frontend decodes both to a nil slice in nodes/file_stager_s3.go. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(messaging): add WorkQueue and the NATS producer This is the producer side of the competing-consumer seam. The work kinds map one to one to today's subjects and queue groups: task to jobs.new and mcp-ci to jobs.mcp-ci.new (both in group workers), agent-run to agent.execute (group agent-workers). Enqueue publishes the payload as Publish does today, with one JSON marshal. FakeBus now records queue groups and keeps reply handlers so later specs can pin and drive them. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(messaging): add the NATS WorkConsumer An in-flight limit of one runs the handler inline on the delivery goroutine, as the MCP CI consumer does today. Any other limit spawns per delivery, as the agent consumer does. Queue groups are unchanged. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * refactor: publish queued work through WorkQueue The job dispatcher, the agent pool and the agent scheduler enqueue through messaging.WorkQueue; the NATS implementation publishes to the same subjects as before. DistributedServices builds the queue next to the NATS client and hands it to the dispatcher and the agent pool, whose distributed mode switch now reads a non-nil WorkQueue. The unused AgentPoolService.SetNATSClient is removed. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * refactor: consume queued work through WorkConsumer The agent dispatcher and the MCP CI consumer register through messaging.WorkConsumer. The NATS implementation keeps the inline one-at-a-time model for MCP CI and the per-delivery model for agent runs. handleMCPCIJob reports on the events publisher the carrier hands it instead of a captured client. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * refactor: delete the consumers nothing in production reached jobs.new has a producer and no production consumer, and the agent dispatcher's Dispatch was only called from tests. Publishing jobs.new is unchanged. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * refactor(mcp): send MCP requests to agent workers through AgentControl Timeouts still honour only the deadline, not cancellation, exactly as today. The NATS no-responders error maps to ErrNoRoute and a timeout does not. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * refactor(agent-worker): serve MCP requests and backend.stop through agentRPCServer The agent worker's MCP tool and discovery reply subscriptions and its backend stop listener move behind an unexported agentRPCServer interface, served on NATS by nodes.NATSAgentRPCServer. The handlers become typed mcp.ToolHandler and mcp.DiscoveryHandler values that answer every failure with a reply carrying Error. Queue group (agent-workers), inline execution on the delivery goroutine, the background handler context, the unmarshal error reply texts and the reply-less backend stop subscription are unchanged. The backend stop handler takes the decoded backend name, so it can still close that backend's MCP sessions. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * refactor(messaging): remove helpers that only tests used BroadcastRoots, ControlRoots and SubjectRoot had no production caller. The roots spec now asserts every served root through ValidateSubject instead. MatchSubject moves back into the test support package, the only place that used it, with its table. NATSAgentRPCServer drops the subscription list it stored and never read, and NewNATSAgentRPCServer gets a doc comment. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * test(mcp): round trip the agent RPC server over a real NATS server One spec sends a tool request and a discovery request through NATSAgentControl to NATSAgentRPCServer and checks that the handlers see the decoded requests and the replies come back. It also puts an undecodable body on the tool subject and checks the server answers with an unmarshal error instead of leaving the requester to time out. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: describe the distributed transport seams The developer note now lists the final seams: fan-out, queues, both halves of the control verbs and of agent RPC, and the dial. It records the open items a second carrier has to handle. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * test: pin the in-flight limit each queue consumer asks for The work queue specs pin what Consume does for a given limit, but nothing pinned which limit each production consumer passes. Changing the agent worker's MCP CI limit from 1 to 0 would have let MCP CI jobs run concurrently on each worker with every test green. Move the MCP CI Consume call into startMCPCIConsumer with the same wiring and pin that it asks for (WorkMCPCI, 1). Pin that NATSDispatcher.Start asks for (WorkAgentRun, maxConcurrent) for several limits. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * refactor: remove helpers the branch left without a caller SubjectJobCancelWildcard lost its last subscriber when the frontend stopped listening on jobs.*.cancel; the NATS permissions and conformance suite spell the subject out, so nothing reads the constant. decodeBackendStopRequest returned a stopAll flag that production dropped and only a test read. decodeBackendStop is now the single decoder with the same semantics: an empty body is stop-all, an empty Backend is stop-all, malformed JSON is an error. stopBackends still derives stop-all from Backend, so no reply changes. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(messaging): keep an explicitly empty agent queue a plain subscription Before the work queue seam the agent worker passed LOCALAI_AGENT_QUEUE straight to QueueSubscribe, so an explicitly empty value made a plain subscription and every agent worker ran every agent run. WithAgentRunRoute replaced an empty queue with agent-workers, which silently changed that. Keep the queue as given once the option is applied. An empty subject still falls back to agent.execute, since it never had a meaning of its own. The flag default stays agent-workers, so only an explicitly empty value reaches this. Assisted-by: Claude:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: correct comments and record the PR B notes Fix the recordingFactory comment (it also records the parallel flag), document that a negative maxInFlight is unbounded and that Unsubscribe from a handler deadlocks, and say a permanently undecodable payload returns nil. Record controlHandler's undecodable return as a kept exception, and add the second carrier notes to the developer note: the reconciler has no ClientFactory option, the logs proxy honours HTTP_PROXY, verbs one carrier serves need an opt-out, terminal replies come from the result event, and agent runs publish through the NATS-bound EventBridge, which is not an additive change. 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> |
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mudler-agentandEttore Di Giacinto
|
9eb5a9e61d |
feat(audio): remember speakers from diarization (#12414)
* feat(schema): validate portable speaker profiles Add the versioned profile schema for explicit speaker enrollment. Validate compatibility against separately supplied loaded-encoder metadata. Reject unusable speakers, invalid vectors, and inconsistent clean spans. This slice does not change HTTP routes, backend integration, or the UI. Assisted-by: OpenAI:unknown Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(parakeet): export profiles with transcripts Export opt-in speaker profiles and trusted encoder metadata. Replay registrations by ID so duplicate display names keep independent vectors. Use one profile-capable diarization for slots, names, and clean spans. Assign timestamped ASR words to those slots without a second diarization. Preserve legacy opt-out and no-ASR behavior, and propagate failures. Assisted-by: OpenAI:unknown Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(audio): enroll portable speaker profiles Gate profile exports with voice-recognition permission and validate registration against metadata from the loaded encoder. Preserve audio enrollment and independent registrations with duplicate display names. Exclude diarization and registration exchanges before API trace capture so persisted traces cannot retain profile vectors or JSON audio. Defer candidate dimensions to trusted loaded metadata. Sort candidates by registration ID so incompatible profiles cannot suppress legacy voices through registry iteration order. Keep portable identity checks closed when trusted metadata is unavailable. Test persisted traces, explicit slot zero, and selection through offline and live transport. Document privacy and the ephemeral registry lifecycle. Assisted-by: OpenAI:unknown Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(ui): remember speakers from diarization Add a Studio page for diarization and opt-in speaker profiles. Preview clean intervals from the original recording before explicit registration. Join profiles by raw speaker labels, preserve duplicate names, and relabel turns only after a successful save. Discard stale results when the model or recording changes. Share registration metadata with voice management without storing vectors or recordings from this flow. Document permissions and the global, ephemeral registry. Cover enrollment, permissions, previews, and asynchronous races with mocked Playwright tests. Assisted-by: OpenAI:unknown Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: clarify HTTP speaker enrollment support Replace the stale enrollment limitation with the current HTTP workflow. Distinguish native transport from explicit registration and link its docs. Assisted-by: OpenAI:unknown Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * chore(parakeet): pin merged speaker profile support Use the merged commit from mudler/parakeet.cpp#80. Its tree matches the previously accepted native pin. Assisted-by: OpenAI:unknown Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: add diarization enrollment setup example Connect the existing gallery modes to the speaker enrollment workflow. Show installation, private profile export, explicit raw-slot registration, and later recognition without another export. Assisted-by: OpenAI:unknown Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs(blog): explain diarization speaker profiles Put the diarization walkthrough on the LocalAI website in the feature PR. Cover the three gallery modes, explicit enrollment, and privacy limits. Link setup instructions and keep availability conditional on feature support. Assisted-by: OpenAI:unknown Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs(blog): focus diarization on everyday use Explain what users can do with recordings before the setup steps. Replace the technical walkthrough with a short Studio guide and link readers to the existing reference for model names and developer use. Assisted-by: OpenAI:unknown Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs(blog): lead with speaker capabilities Present speaker recognition through everyday uses and a short UI flow. Keep technical reference details in the existing documentation. Assisted-by: OpenAI:unknown Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(diarization): satisfy Go lint checks Avoid copying protobuf message state when extending backend status, check the multipart reader close result, and document the focused testing.T lint exemptions. Assisted-by: nib:gpt-5.6-sol Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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localai-org-maint-botandEttore Di Giacinto
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2ae6cae70d |
feat(parakeet-cpp): name speakers from the shared voice registry (#12382)
* feat(voice): list registered voices and record which encoder made them The voice registry could register, identify and forget but not list, and it did not remember which speaker encoder produced an embedding. Add Metadata.Model and Registry.List, answered from the index the store registry already keeps for Forget. Needed so a backend can be given the registered voices that match its own speaker encoder. Assisted-by: Claude:claude-sonnet-5-5 [Claude Code] * feat(voice): store the encoder model with a registered voice Assisted-by: Claude:claude-sonnet-5-5 [Claude Code] * feat(voice): pick the registered voices that match a speaker model Assisted-by: Claude:claude-sonnet-5-5 [Claude Code] * feat(proto): carry known voices and speaker names on diarize and live messages Assisted-by: Claude:claude-haiku-4-5 [Claude Code] * feat(diarization): name speakers from the voice registry When a diarization model has a speaker_model option, the endpoint sends the registered voices made by that encoder to the backend. The backend's name and name_score come back as extra fields next to the normalized SPEAKER_NN speaker, and the speakers summary carries the first name seen for each speaker. RTTM output and results without names are unchanged. Assisted-by: Claude:claude-sonnet-5-5 [Claude Code] * feat(live): pass registered voices to a live session and surface speaker names Live sessions now send the registered voices that match the model's speaker_model to the backend, and each speaker segment carries the name the backend matched. The realtime segment event gains an optional speaker_name field. Assisted-by: Claude:claude-sonnet-5-5 [Claude Code] * feat(parakeet-cpp): load a speaker model and build per-request voice registries Adds the speaker bindings (ABI v9 and v10, probed separately), the speaker_model, speaker_threshold and speaker_margin options, and a per-request registry builder over the known voices. Assisted-by: Claude:claude-sonnet-5-5 [Claude Code] * feat(parakeet-cpp): name the speakers in Diarize from the known voices Diarize builds a per-request speaker registry from the known voices when a speaker model is loaded, calls the named C functions, and puts each slot's registered name and score on the segments. The registry is freed on every path. A library without ABI 10 reports Unimplemented instead of dropping the names. Assisted-by: Claude:claude-sonnet-5-5 [Claude Code] * feat(parakeet-cpp): name speakers in the live scene stream The live scene stream now begins with a known-voice registry when a speaker model is loaded and the live config carries voices, and each closed speaker segment takes its slot's current name from the feed's names map. A segment that closes before its slot is identified has an empty name. The registry is freed after the stream, on every path. Assisted-by: Claude:claude-sonnet-5-5 [Claude Code] * feat(gallery): speaker naming entries and docs for parakeet-cpp Add three gallery entries that load the WeSpeaker ResNet34 speaker model next to the diarization or realtime scene models, and document speaker names in the voice recognition, diarization, audio to text and realtime pages. Assisted-by: Claude:claude-sonnet-5-5 [Claude Code] * fix(parakeet-cpp): skip an unusable registered voice instead of failing the request A registered voice with the wrong embedding size, or one the C side refused, failed the whole diarization request, so one legacy voice broke the model for every user. Skip such voices with a warning that does not carry the voice name, and take the plain path when none is left. Also map an exact 0 speaker threshold or margin to a tiny positive value, since the C side reads 0 as "use the default", and fix a stale comment about which contexts Free() walks. Assisted-by: Claude:claude-sonnet-5-5 [Claude Code] * fix(diarization): warn once per model about voices from another encoder; document the privacy limit The different-encoder warning fired on every request. Log it once per feature and speaker model, then at debug level. Document that the global voice registry lets any caller of a speaker_model model learn matching names, and that skipped wrong-sized voices are logged. Assisted-by: Claude:claude-sonnet-5-5 [Claude Code] * chore(parakeet-cpp): bump parakeet.cpp to 8c8cec0 (C-API v10) and check speaker naming against the real library The pin moves from 623a968 to 8c8cec0, which brings in everything merged in parakeet.cpp since: the voice identification change (C-API v9, #78) and raw-embedding enroll plus diarize-only speaker naming (C-API v10, #79). New real-library specs (gated on PARAKEET_BACKEND_TEST_SPEAKER_MODEL, _DIAR_MODEL, _WAV and, for the live path, _STREAM_MODEL) name the two speakers of two_speakers.wav from a committed pair of WeSpeaker embeddings, with the voices passed in reversed order. They also check that the float32 threshold reaches C through purego. The shared test loader now registers the v9/v10 and scene symbols as main.go does. The rebase onto origin/master had no conflicts. Assisted-by: Claude:claude-sonnet-5-5 [Claude Code] --------- Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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Ettore Di Giacinto
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5613572f38 |
feat(systemone): validate requests and align the docs with Ollama's contract
All three routes now validate the request before it reaches a model: body size (413 over 64 KiB), state, question count, blank ids, option and level counts, and noul criteria keys. Forwarded decision requests skipped this before, so a malformed question surfaced as a backend error. The docs claimed the wire shape matches Ollama's. Field names and question types do; confidence, error shape, keep_alive and state rendering differ, and the docs now say so. Assisted-by: Claude Code:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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Ettore Di Giacinto
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70ce62901f |
refactor: name the capability decisions instead of systemone
The usecase describes what a model can do, and the category is the Decisions API. SystemOne stays as the wire contract: the /v1/systemone routes, the Score RPC question_type and the swagger tag are unchanged. The usecase, flag, auth feature, UI label, gallery tags and docs page are now decisions. Assisted-by: Claude Code:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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Ettore Di Giacinto
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b3d65fd538 |
fix(systemone): route NER models to the NER path and refuse decision models on permute and separate
vllm_decide refuses NER architectures and the NER entry point refuses decision architectures, so each model kind 500ed on half of the routes. A token_classify model now goes to the NER path on /v1/systemone, and /permute and /separate return 400 for decision models. Docs and instructions state which kind serves which route. Assisted-by: Claude Code:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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Ettore Di Giacinto
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b4852d62d2 |
feat(systemone): register the decisions API on auth and instructions
Adds a default-on systemone route feature for the three /v1/systemone routes and an /api/instructions area for them. No MCP tool is added: the endpoints run inference and are not admin install/edit actions, and the route-map test still passes. Assisted-by: Claude Code:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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Ettore Di Giacinto
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e03cf8dac8 |
feat(systemone): refuse models that do not declare the usecase
A chat-only model now gets a 400 naming known_usecases: [systemone] instead of a backend error. Configs declaring no usecases and token_classify models stay allowed so existing laya and GLiNER setups keep working. Assisted-by: Claude Code:claude-sonnet-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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Ettore Di Giacinto
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9c156656bd |
Merge PR #12285: feat(failover): serve a model name from a chain of local and remote targets
Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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mudler-agentandEttore Di Giacinto
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590512d9eb |
feat(distributed): report worker version and show models in node inspector (#12328)
* ci: bump Hugo from 0.146.3 to 0.166.0 The hugo-theme-relearn submodule was bumped to 9.1.x in #12096, which requires Hugo >= 0.165.0. The pinned 0.146.3 broke the docs site build with a template error in alias.html that could not evaluate the Locale field on langs.Language. Bump HUGO_VERSION to 0.166.0 (latest stable) to satisfy the theme minimum and resolve the alias.html template error. Assisted-by: nib:claude-sonnet-4.5 [bash] [read] [edit] * feat(distributed): report worker version and show models in node inspector Workers now send their LocalAI build version and git commit at registration. The controller stores them on BackendNode and exposes them through the existing node list/detail API responses. The node inspector side pane now fetches and renders the list of loaded models (name, state, in-flight) instead of showing only a count, matching what the node detail page already displays. --------- Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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Ettore Di Giacinto
|
dae9a431e8 |
Merge remote-tracking branch 'origin/master' into feat/failover-chains
Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude:claude-opus-5-5 [Claude Code] |
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localai-org-maint-botandlocalai-org-maint-bot
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f154bd990a |
feat(system): report per-model DRM VRAM (#12026)
* feat(system): report per-model DRM VRAM Expose optional resident device memory for local backend process trees. Deduplicate DRM clients and omit unsupported or incomplete readings. Document accounting limits and preserve a measured zero in JSON. Closes #11970. Assisted-by: Codex:gpt-6 * fix(system): document trusted procfs reads Scope G304 annotations to paths built from the fixed procfs root, integer process IDs, and kernel directory entries. These reads accept no user-controlled path components. Assisted-by: Codex:GPT-6 gosec --------- Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com> |
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Ettore Di Giacinto
|
5ed67be0bf |
fix(failover): skip a target that answers HTTP 501 instead of failing the chain
The non-OpenAI endpoints (depth, detection, face_*, voice_*, images, video, 3d) map a backend's gRPC Unimplemented to an echo 501 without the gRPC status. The retry loop did not see a capability gap, and IsRetryable is false for 501, so the client got 501 and the next target was never tried. Treat a returned or written 501 as a capability gap. Assisted-by: Claude:claude-opus-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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localai-org-maint-bot
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e62854c340 |
fix(failover): pass credential lookup from CLI
Pass the API key environment lookup through ApplicationConfig to satisfy core configuration lint. Keep credential resolution dynamic and exclude the callback from serialization. Handle the five close results reported by errcheck. Assisted-by: Codex:gpt-6 golangci-lint Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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Ettore Di Giacinto
|
2a1213f1e2 |
feat(failover): expose chain status, pins and events over REST and SSE
Assisted-by: Claude:claude-opus-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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Ettore Di Giacinto
|
f7c0bb5f4b |
feat(config): validate failover chain targets across configs
Reject chains whose targets are missing or are chains, at load and on create or edit, and warn when the targets share no usecase. Assisted-by: Claude:claude-opus-5-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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mudler-agentandEttore Di Giacinto
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42c58a5838 |
feat(vllm-cpp): unify decision pipeline through Score RPC with vllm_decide ABI v29 (#12247)
* feat(vllm-cpp): unify decision pipeline through Score RPC with vllm_decide ABI v29 Replace the model-specific SystemOne gRPC approach with a generic Score RPC extension. The pre-existing Score RPC (previously unused by any backend) now carries question_type and response_json fields: - question_type="systemone" routes kev/laya decision-pipeline requests through the unified vllm_decide C ABI (v29), returning the full response JSON in response_json. - question_type empty routes cua-s1-forms candidate scoring through the same vllm_decide ABI, returning CandidateScore probabilities. The vllm-cpp backend's Score() method calls vllm_decide and dispatches by architecture internally. The /v1/systemone HTTP endpoint checks whether the model's backend supports Score; if so, it forwards the raw request JSON and returns the backend response as-is. Other backends fall through to the existing NER-based path. This mirrors the vllm.cpp C ABI refactor (PR #3301) that replaced vllm_systemone + vllm_score with a single vllm_decide function. The purego bindings bump abiVersion from 27 to 29 and resolve vllm_decide and vllm_decide_free symbols. Also fixes validModelPath to accept cua-s1-forms.json and rl_agent_config.json alongside config.json, matching the engine's model_loader.cpp config-filename ordering. AI-Assisted: true Assisted-by: Maki:regolo/glm5.2 [maki] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * chore: ⬆️ Update mudler/vllm.cpp to e28ec46c6 (fix macOS -Werror build) Bumps vllm.cpp to e28ec46c6 which fixes a -Wnull-conversion error in qwen3_5.cpp:12483 that broke the macOS Metal CI build under -Werror. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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mudler-agentandEttore Di Giacinto
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543fb4bd24 |
fix(gallery): verification follow-ups for oci:// galleries (#12243)
* fix(gallery): verification follow-ups for oci:// galleries Follow-ups from the post-merge review of #12238 and #12239. Only a policy decision is a refusal now. cosignverify wraps ErrPolicyRejected around a failed signature check, an identity or source-repository mismatch, a not_before cutoff and a missing or unparseable bundle. A TUF, registry or network failure during verification, or a timeout, is an outage: the gallery falls back to the copy verified under the current policy, as it does when the registry is down. An oci:// gallery with a verification block, or any oci:// gallery under strict integrity, is no longer answered by an https://, github: or file:// mirror. Such a mirror is ignored with a warning, because nothing can check its signature. The index of an HTTP gallery, whose policy only covers its backend images, is cached under the URL-only name again, so no unchecked body is stored under a policy-keyed name. The in-memory index cache key now includes the policy. After a runtime policy change the index is fetched again, and entries with a relative url install again. The registry digest lookups after install and upgrade, and in the upgrade check, run only for real registry references (new URI.LooksLikeRegistryOCI), not for ollama:// or ocifile://. The refusal message names strict integrity when that is the cause, and the gallery name is no longer repeated. Specs pin the URL-only cache name for galleries without a policy, a fixed key for a fixed policy, and that every GalleryVerification field changes the key. The docs describe refusal, outage, mirrors and strict integrity. Assisted-by: Claude:claude-opus-5-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(gallery): reset listings on gallery changes, classify referrer outages Review follow-ups for this PR. The React UI lists from AvailableGalleryModelsCached, which is keyed by nothing. A gallery change through the settings API or a runtime_settings.json edit now drops that listing when the model or backend gallery configuration differs. Before, the UI kept the old list, with local paths into the old policy's tree, until the next background refresh, or for good when the new policy refused the gallery. In cosignverify, a referrer the registry fails to serve now makes the lookup an outage whatever other referrers failed and in any order, since the unread one may be the valid signature. An invalid policy (Validate in NewVerifier, an unparseable not_before) is ErrPolicyRejected, because no fetch can make it usable. The docs say that only an oci:// gallery with a verification block skips non-OCI mirrors, and list an unusable policy as a refusal. Assisted-by: Claude:claude-opus-5-5 [Claude Code] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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21c5495a99 |
feat(vllm-cpp): add GLiNER2.5 NER via TokenClassify (#12140)
* feat(vllm-cpp): add GLiNER2.5 NER via TokenClassify Wire the vllm-cpp backend to the C ABI NER surface (vllm_gliner_ner, ABI v27) so LocalAI can serve zero-shot named entity recognition through the existing TokenClassify gRPC method. backend.go: TokenClassify method on *VllmCpp calls vllm_gliner_ner with the text and labels, copies the C-owned entity array into protobuf TokenClassifyEntity messages, and frees the result. govllmcpp.go: cNerEntity and cNerResult Go POD mirrors matching the C structs; vllmGlinerNer and vllmNerResultFree purego bindings; abiVersion bumped 26 -> 27. options.go: ner_labels, ner_threshold, ner_max_width parsed from engine_args. pkg/grpc: ClassifyModel interface and TokenClassify server handler (follows the Embedding locking pattern). core/config: vllm-cpp backend declares MethodTokenClassify and UsecaseTokenClassify. docs/content/features/vllm-cpp.md: NER section documenting the engine_args keys and the host-forward contract. Assisted-by: MAKI:regolo/glm5.2 [maki] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(vllm-cpp): correct NER pointer lint directive Use the govet directive for the C-owned NER array, matching the other purego pointer conversions. The array remains valid until its deferred free; the misspelled directive caused CI to flag this conversion. Assisted-by: Codex:gpt-6 golangci-lint Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * feat(vllm-cpp): add kev-compatible SystemOne API endpoints Add POST /v1/systemone, /v1/systemone/permute, and /v1/systemone/separate to LocalAI, mirroring the kev project's structured-extraction API. Each endpoint runs zero-shot NER over the rendered state text and builds kev-compatible answers for three question types: noul (binary entity presence), choice (pick one option), and score (pick one level). The TokenClassifyRequest proto gains a `repeated string labels` field so each question can supply its own labels at inference time, and TokenClassifier gains TokenClassifyWithLabels for per-call label selection. The vllm-cpp backend uses request labels when non-empty, falling back to configured ner_labels then the built-in defaults. Helpers (renderState, softmax, choiceConfidence, scoreConfidence, r2) are ported from kev/api.py and mirrored in vllm.cpp's api_server.cpp so both servers produce the same answer shape. Following-Agents-Protocol: true AI-Assisted: true Assisted-by: AGENT:regolo/glm5.2 [maki] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(vllm-cpp): suppress gosec G404 on seeded permutation RNG The SystemOne permute endpoint uses math/rand with a caller-supplied seed for reproducible option permutations, matching kev's random.seed. gosec flags this as G404 (weak RNG). Add #nosec with a comment naming the intent: this is reproducibility, not cryptography. Following-Agents-Protocol: true AI-Assisted: true Assisted-by: AGENT:regolo/glm5.2 [maki] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * chore(vllm-cpp): bump vllm.cpp pin to GLiNER2.5 merge commit Advance VLLM_CPP_VERSION from f3cd97e to 5058268d, the commit that landed GLiNER2.5 zero-shot NER support (PR #3224) in vllm.cpp. This brings the DeBERTa v2 encoder, GLiNER2 boundary head, C ABI NER functions, and server endpoints into the LocalAI vllm-cpp backend. The ABI version (27) and Go struct mirrors already match. Following-Agents-Protocol: true AI-Assisted: true Assisted-by: AGENT:regolo/glm5.2 [maki] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(vllm-cpp): use instruction text as NER label in SystemOne handler The SystemOne handler was passing question IDs as NER labels for noul questions and bare key names for choice questions, so the model never matched any entities. Port the label mapping from vllm.cpp's ParseSystemOneBody: - noul: use the rendered instructions field (with instr alias) as the NER label, not the question ID - choice: use optionText(name, desc) — "name: description" or "name" when the description is null/empty — not the bare key - score: already correct (rendered criteria text) - permute: shuffle indices and build parallel key/label arrays so the NER call uses the optionText labels while the response is keyed by the original option names Also add the instructions field to the SystemOneQuestion schema struct (accepted alongside the instr backward-compat alias). Verified end-to-end against the real GLiNER2.5 model: noul questions now find "Apple Inc. is" (organization, 0.999) and "Tim Cook is" (person, 0.852) where they previously returned zero entities. Following-Agents-Protocol: true AI-Assisted: true Assisted-by: AGENT:regolo/glm5.2 [maki] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com> |
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localai-org-maint-botandEttore Di Giacinto
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c0b7e64973 |
feat(ui): show running models and host gauges on single-node installs (#12189)
On a single-node install nothing in Operate listed the models loaded on this machine or let an admin stop one. The System page that did was retired in #11548, and its replacements (the Nodes workbench) only work in distributed mode. The Nodes page also mis-detected single-node mode: the cluster routes are not registered there, so /api/nodes answers 404, but only 503 was treated as "distributed off", which sent every single-node install to the empty worker-registration card. The rail hid the entry anyway. Nodes route on a single node becomes "This machine": - the Nodes page's VRAM / RAM / CPU / models-disk gauges, fed from this host by mapping /api/resources onto the worker heartbeat fields - a memory bar splitting host RAM by running model - a running-models table (backend, RSS, CPU share, uptime, PID) with search, sorting, logs and a confirmed Stop - the distributed setup behind an "Add machines" button The Operate overview gains a "Running now" preview (heaviest five, with Stop) on single node and a pointer to Nodes > Running models on a cluster. The rail shows "This machine" in Runtime with a running count. Backend, additive only: - /system: each loaded model carries a `process` block (pid, rss_bytes, memory_percent, cpu_percent, started_at). A sampler keeps one gopsutil handle per PID so CPU is the share since the previous poll rather than the lifetime average; it is omitted on the first reading. - /api/resources: host `cpu` and models-path `disk`, the same readings workers send in their heartbeat. Also fixes the fleet tables widening the page on phones: the headers' absolutely positioned sr-only labels escaped the scroll wrapper. Assisted-by: Claude:claude-opus-5 [Playwright] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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Richard Palethorpe
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495165266f |
feat(kimodocpp): track usage through generic backend metadata (#12162)
Report input tokens and frame-step output units in response metadata and record them through the existing usage accounting pipeline. Preserve the accounting rule and model-specific dimensions as JSON without extending the gRPC schema for each modality. Expose animation usage only under metadata.usage, validate counts before recording, and document the response contract and loaded-model location. Add coverage for transport, defaults, failures, persistence, and recording requests once with statistics enabled or disabled. Assisted-by: Codex:GPT-6 Signed-off-by: Richard Palethorpe <io@richiejp.com> |
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mudler-agentandEttore Di Giacinto
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96ccb8e96c |
fix: correct stale symbol names in doc comments (#12139)
Fixes 7 doc comments whose names no longer match their function: - ToggleStateModelEndpoint (was ToggleModelEndpoint) - Messages.ToProto (was MessagesToProto) - NewUserCancellableContext (was newUserCancellableContext) - CalculateRMS16 (was calculateRMS16) - NewLocalAIMetricsService + Shutdown TODO (was copied setupOTelSDK) Supersedes #12084 and #12085 (DCO not signed by contributors). Assisted-by: MAKI:regolo/glm5.2 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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Richard Palethorpe
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2facfc0d88 |
feat: Add kimodo.cpp and 3D animation API/UI (#12095)
* fix(vulkan): preserve host ICD discovery for packaged backends Add bundled Mesa manifests through VK_ADD_DRIVER_FILES instead of replacing the system driver list. Merge inherited and model-specific additive paths while preserving explicit operator overrides, with regression coverage. Assisted-by: Codex:gpt-5 golangci-lint Assisted-by: Codex:gpt-5.6-sol Signed-off-by: Richard Palethorpe <io@richiejp.com> * feat(3d): add Kimodo CPU and Vulkan animation backend Introduce a distinct animation capability and model-described 3D operations, with a typed /3d/animate API, RPC transport, distributed media staging, permissions, and tracing. Add a persistent kimodo.cpp adapter, skeleton GLB export, CPU/Vulkan packages, model and backend galleries, importer support, CI builds, and documentation. Adapt Studio inputs to each model and provide real-time skeleton playback, seeking, and history. Cover backend validation, packaging, API behavior, importer inventories, distributed staging, and Studio workflows. Validate real-model CPU/Vulkan generation and deploy the integration to the local QA instance. Assisted-by: Codex:gpt-5 golangci-lint Assisted-by: Codex:gpt-5.6-sol Signed-off-by: Richard Palethorpe <io@richiejp.com> * feat(kimodocpp): adopt monolithic encoders and resident inference Update upstream for resident weights, packed execution paths, and cached motion graphs. Default to all 32 text layers while retaining configurable streaming and legacy bundle support. Use monolithic Q8_0 encoders by default and offer all six published quantizations through the gallery and importer. Refresh pinned hashes, tests, and documentation; remove the obsolete thread patch and ensure cached source checkouts follow the upstream pin. Validated CPU and Vulkan generation, lower-bit streaming, gallery/importer suites, packaging, lint, and cold/warm Studio generation on localai-dev. Assisted-by: Codex:gpt-5 golangci-lint Assisted-by: Codex:gpt-5.6-sol Signed-off-by: Richard Palethorpe <io@richiejp.com> --------- Signed-off-by: Richard Palethorpe <io@richiejp.com> |
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localai-org-maint-botandEttore Di Giacinto
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997d403de4 |
feat(nodes): add fleet operations dashboard (#12046)
* feat(nodes): report CPU telemetry Assisted-by: Codex:gpt-6 * feat(nodes): add fleet view utilities Assisted-by: Codex:gpt-6 * feat(nodes): add fleet operations dashboard Replace the panel roster with aggregate capacity gauges, fleet filtering and selection, bounded bulk actions, and an on-demand node inspector. Extend node details and distributed-mode documentation with CPU and models-disk telemetry. Assisted-by: Codex:gpt-6 * fix(nodes): harden fleet lifecycle actions Assisted-by: Codex:gpt-6 * fix(nodes): restore compact fleet composition Keep fleet health, capacity, and attention in one compact overview at ordinary desktop widths. The inspector now overlays the roster until the workbench can preserve a useful table beside it. Assisted-by: Codex:gpt-6 * feat(nodes): add accessible running models workbench Assisted-by: Codex:gpt-6 * fix(nodes): correct model view ARIA links Keep each tab panel available for its controlling tab while native hidden state removes inactive content from accessibility navigation. Model controls now expose only supported state and valid inspector relationships. Assisted-by: Codex:gpt-6 * fix(nodes): align lifecycle and capacity states Pending nodes now expose approval wherever node actions appear, while other lifecycle controls follow the server transition rules. Capacity totals exclude incomplete readings so missing availability remains unknown. Assisted-by: Codex:gpt-6 * fix(nodes): restore approved dashboard composition Assisted-by: Codex:gpt-6 * fix(nodes): integrate operate navigation Assisted-by: Codex:gpt-6 * fix(nodes): restore low density fleet view Assisted-by: Codex:gpt-6 * fix(nodes): preserve complete operate menu Assisted-by: Codex:gpt-6 * fix(nodes): preserve inspector workspace height Assisted-by: Codex:gpt-6 * fix(nodes): restore standard operate navigation Assisted-by: Codex:gpt-6 * feat(ui): add collapsible console rail Assisted-by: Codex:gpt-6 * feat(nodes): stop models from fleet view Assisted-by: Codex:gpt-6 * fix(nodes): make inspector a full height drawer Assisted-by: Codex:gpt-6 * fix(model): stop mixed local and remote placements Assisted-by: Codex:gpt-6 * fix(ui): announce action menu navigation Assisted-by: Codex:gpt-6 * fix(nodes): keep inspector within viewport Assisted-by: Codex:gpt-6 * fix(ui): preserve focus across model actions Assisted-by: Codex:gpt-6 --------- Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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Ettore Di Giacintoandxingyifeng
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df70ff311d |
feat: add FunASR speech recognition backend (#10090)
Adds FunASR/SenseVoice as a Python backend for speech-to-text with support for CPU, CUDA 12/13, ROCm, Intel SYCL, L4T, and Apple MPS. Co-authored-by: xingyifeng <xingyifeng@users.noreply.github.com> |
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Ettore Di Giacinto
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db09452d54 |
feat(tts): support multi-reference personalities
Saved profiles previously resolved to one audio path and transcript, so cloning backends could not use several examples of one personality. Store ordered audio and transcript pairs while preserving the legacy first-reference fields. Fish Speech and audio.cpp receive all pairs, including on distributed workers. Other backends retain their single-reference behavior. Assisted-by: Codex:gpt-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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Ettore Di Giacinto
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d55474a149 |
feat(audio): list available TTS voices
Clients cannot discover the named voices that an installed TTS model accepts without consulting backend-specific documentation. Expose voice metadata through the audio API and let custom model configs declare their own catalog. Assisted-by: Codex:gpt-5 Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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Ettore Di Giacinto
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a9f8062dd5 |
feat(nodes): add pluggable routing pipeline
Route prefix-cache replica selection through composable filters, weighted scorers, and a replaceable picker. Preserve the existing load guard and deterministic selection policy while exposing per-model scorer weights through scheduling configuration. Assisted-by: Codex:gpt-5 [go-vet] Signed-off-by: Ettore Di Giacinto <mudler@localai.io> |
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localai-org-maint-botandEttore Di Giacinto
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88d19567b8 |
feat(faces): replay saved face enrollments (#11908)
Accept original embeddings and timestamps so clients can restore faces when the in-memory store restarts. Derive stable IDs from exact vectors to make registration retries preserve identity without duplicate entries. Assisted-by: Codex:GPT-6 golangci-lint Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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mudler's LocalAI [bot]andEttore Di Giacinto
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80e3240f2d |
feat(distributed): key scheduling rules by a model alias (#11771)
Node placement and replica rules could only name a model, so an operator who pinned "llama3" to the GPU tier had to rewrite the rule whenever a different model took over that job. An alias already gives a stable name for whichever model serves it, and a rule on that name makes it a deployment slot: repoint the alias and the placement follows. A rule keeps the name the operator chose. Reads resolve that name through the config loader to the model the rule governs, so the reconciler counts, schedules and trims replicas of the target, and the router finds an alias-keyed rule from the target it is already routing. An alias that resolves to nothing governs nothing loadable, so the reconciler skips it and the write paths refuse it. A replica is shared by every name that resolves to it, so only one rule can decide where it runs. The REST and MCP write paths reject a rule whose target another rule already governs. A pair that arrives some other way, such as a seed file or an alias repointed onto a model that already has a rule, resolves in favour of the rule named after the model itself and then the oldest, and the rest are listed as shadowed. The eviction guard is the exception: it matches rules to replicas in raw SQL inside a locking transaction and cannot resolve an alias. It reads a stored target that the reconciler refreshes each tick, and falls back to the rule's own name when that target is empty. Assisted-by: Claude:claude-opus-5 golangci-lint eslint Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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mudler's LocalAI [bot]andEttore Di Giacinto
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29899cd1e0 |
fix(ui): size model fit against the cluster and move node labels into the selector (#11765)
* fix(ui): move node labels into the scheduling selector field The scheduling page kept a node-label browser open above the rules whether or not anyone was writing one, while the field that actually needs labels, the rule's node selector, was two bare text inputs with no hint of what the cluster reports. The browser is gone. The selector's key input now completes against the label keys the cluster uses, and the value input offers only the values that key takes. The roster already loads for the page, so the suggestions cost no request, and a roster that fails to load costs the admin the hints and nothing else. Suggestions stay suggestions: a key no node reports yet still commits as typed, which is how an admin writes a rule before labelling the nodes for it. Assisted-by: Claude:claude-opus-5 golangci-lint eslint playwright Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * fix(distributed): size model fit against the cluster, not the frontend The models page asked the frontend how much memory a model may occupy. In distributed mode the frontend is usually a GPU-less pod while every model runs on a worker, so a fleet of GPU nodes was told it could only run the smallest CPU build. The variant picker's fits flag and its auto-selection came from the same place, as did the hardware recommendations. The registry now reports the largest single healthy backend node. The largest node, not the fleet total: a model loads into one node, so four 16GB workers are not a home for a 40GB model. An operator-set VRAM budget caps a node's contribution, because the scheduler refuses a load above that ceiling anyway, and a GPU node beats a CPU node holding more system RAM. GET /api/resources and GET /api/models carry this as an additional cluster object. Their aggregate and ram fields keep reporting the frontend's own hardware, which is what the resource monitor shows. Variant selection judges backends against the union of the capabilities present in the cluster, the way backend discovery already did. Every path degrades to the local host: no cluster object in single-node mode, and none when the registry cannot be read, so a hiccup narrows the answer back to single-node behaviour rather than marking the whole catalog too large. The verdicts now name the node they belong to, since a model fits somewhere or nowhere. Assisted-by: Claude:claude-opus-5 golangci-lint eslint playwright Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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Ettore Di Giacinto
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1dc3aeef87 |
fix(distributed): resolve config revisions through one entry point
A model's revision is published by administration and checked against on every inference request. Those were computed by separate code: the request path resolves through the loader, while each publisher hashed whatever ModelConfig it happened to hold. By then SetDefaults had folded in the GGUF guess and app-level options, so the published value was one no request would ever carry and the model became unroutable until the row was deleted by hand. Fixing the publishers one at a time did not hold. Three rounds each found another: the startup resync, then a saved edit and a toggle, then a rename and the peer-change path. ModelConfigLoader.RevisionFor is now the only way to obtain a revision, and the raw hash is unexported, so a caller outside this package cannot hash a config it holds. A publisher and a request agree by construction rather than by two implementations happening to match. The request path no longer falls back to hashing its merged config either: an unstamped config is routed without a revision rather than with a wrong one. Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Assisted-by: Claude Code:claude-opus-5 [golangci-lint] |
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localai-org-maint-botandlocalai-org-maint-bot
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a8bc64cd09 |
fix(ci): bound Discord release summaries (#11695)
* fix(ci): bound Discord release summaries The release model can return more than Discord's 2,000-character message limit. Discord then rejects the entire release notification. Ask the model for a smaller response and truncate extracted content to 1,800 characters before the notification step. The smaller bound leaves room below Discord's hard limit when model output varies. Assisted-by: Codex:gpt-5 * fix(tests): implement node liveness stub NodeCommandSender now requires PingNode. The endpoint test stub must implement it before the package can compile. Assisted-by: Codex:gpt-5 [Codex] --------- Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com> |
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localai-org-maint-botandlocalai-org-maint-bot
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8f56e4e042 |
fix(vram): persist remote probe metadata (#11487)
* fix(vram): persist remote probe metadata The startup warmer repeated remote size and GGUF metadata probes after every restart because both caches lived only in memory. Store successful HTTP probes for 24 hours so frequent restarts reuse the prior results. Bound the cache, reject invalid records, and purge it when gallery data changes. Local model files continue to bypass persistence. Assisted-by: Codex:gpt-5 * fix(vram): check temporary file cleanup The lint gate rejects the unchecked cleanup call in the persistent cache writer. Assisted-by: Codex:gpt-5.6 [golangci-lint] * fix(vram): make persistent cache optional Remote metadata probes can transfer enough data that operators need control over disk reuse and startup warming. Gallery autoload now gates both behaviors, and the runtime setting applies changes immediately. Assisted-by: Codex:gpt-5 * fix(ui): expose gallery startup pre-warm The existing gallery autoload setting also gates the startup metadata warmer. Name both effects in Settings so operators can find the requested boot control. Assisted-by: Codex:gpt-5 --------- Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com> |
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mudler's LocalAI [bot]andEttore Di Giacinto
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82c191afad |
fix(distributed): keep model replicas config-consistent (#11664)
* docs: design configurable copy buffering Document the context-aware copy buffer option and its validation plan. Assisted-by: Codex:gpt-5 * docs: design durable distributed staging operations Assisted-by: Codex:gpt-5 * docs: design distributed model config revisions Assisted-by: Codex:GPT-5 [apply_patch] [exec_command] * feat(config): add stable model revisions Hash typed model configuration and effective protobuf options deterministically for distributed revision comparisons. Assisted-by: Codex:GPT-5 [apply_patch] [exec_command] * feat(worker): acknowledge exact model stops Assisted-by: Codex:GPT-5 [apply_patch] [exec_command] * feat(nodes): track model config revisions Assisted-by: Codex:GPT-5 [apply_patch] * fix(distributed): retry quarantined model cleanup Stop quarantined replicas by exact process identity, retain failed cleanup as durable capped retries, and compare-and-delete only the claimed registry row. Process one sufficiently leased row at a time so multiple frontends cannot duplicate slow cleanup work. Assisted-by: Codex:gpt-5 * fix(distributed): bind loads to config revisions Assisted-by: Codex: GPT-5 [OpenAI Codex] * fix(modeladmin): apply config revisions consistently Route model edits, patches, state changes, deletion, and peer refreshes through the same revision lifecycle. Quarantine stale replicas before exact cleanup and report durable pending cleanup without failing successful config writes. Assisted-by: Codex: GPT-5 [OpenAI Codex] * feat(distributed): expose model config revision state Document replica revision observability and durable cleanup behavior. Keep pending cleanup explicit in model mutation responses and verify endpoint contracts expose revision state without serialized load options. Assisted-by: Codex:GPT-5 [OpenAI Codex] * test(distributed): cover model revision convergence Exercise cross-frontend quarantine, stale replay rejection, exact cleanup retry, worker re-registration, and current-generation replica convergence against the distributed PostgreSQL harness. Assisted-by: Codex:gpt-5 * fix(distributed): pass config revision CI checks Keep configured gallery sources out of authoritative runtime snapshots only after validating their real schema, and harden rollback snapshots against symlink races and non-regular files. Assisted-by: Codex: GPT-5 [OpenAI Codex] --------- Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |
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Ettore Di Giacinto
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2383726d6d |
Revert "chore(tests): Avoid network, sleep and more during tests" (#11601)
Revert "chore(tests): Avoid network, sleep and more during tests (#11050)"
This reverts commit
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Richard Palethorpeandlocalai-org-maint-bot
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cb3bf7af3f |
chore(tests): Avoid network, sleep and more during tests (#11050)
* test: make coverage failures observable Keep per-root logs, reject concurrent coverage runs, and avoid relying on /bin/sleep in the worker timeout test. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * test: parallelize coverage without remote fixtures Assisted-by: Codex:gpt-5 [apply_patch] [exec_command] Signed-off-by: Richard Palethorpe <io@richiejp.com> * test: add offline resource infrastructure Introduce versioned resource manifests, a checksum-verified CAS preparer, offline test wrappers, and a guarded network transport. Replace live Hugging Face, GitHub, and OCI cases with deterministic fixtures and inject fixture metadata into importer discovery. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * test: enforce offline resource replay Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * test: harden offline resource refresh Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * test: expose slow coverage waits Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * test: eliminate avoidable wall-clock waits Inject a clock into Hugging Face retry handling, reuse a process-scoped PostgreSQL container with per-spec schemas in the nodes suite, and poll local import jobs promptly. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * test: remove repeated fixture startup waits Share PostgreSQL fixtures across parallel endpoint and agent suite workers, and make the worker Free deadline injectable so the wedged-backend test does not spend five seconds on wall-clock time. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * test: fix offline resource CI portability Normalize Docker archive metadata before content addressing, derive archive checksums during explicit refreshes, make network lint portable to macOS, and prepare distributed images before running their offline suite. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * ci: cache Go modules before offline tests Warm the complete module graph before the Linux and macOS test jobs enter offline replay mode, so tool dependencies such as Ginkgo are not fetched through the guarded proxy. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * test: drop the static network lint in favour of real isolation The offline test suite already prevents tests from reaching the network twice over: run-test-linux-offline.sh puts the test process in a cgroup and REJECTs egress outside the private ranges, and HardenedTransport installs testnetwork.LocalGuard to refuse dials that resolve to a public address. Both fail the test with a precise error at the moment of the dial. test-network-lint.sh added neither. Its diff stage defaulted to a HEAD base, so on a clean checkout it compared the tree against itself and inspected nothing; the branch's own commits were never examined. It only produced output when an earlier job step dirtied the tree, and then it matched a bare https?:// against whatever changed. make react-ui runs npm install rather than npm ci, so CI rewrote core/http/react-ui/package-lock.json and the lint reported an npm registry URL as forbidden test network access: + "resolved": "https://registry.npmjs.org/hono/-/hono-4.12.25.tgz", Its fingerprint stage was self-defeating in a quieter way: hashing the whole tree's network-mechanism inventory meant every rebase onto a master that touched any _test.go needed a manual baseline bump, so the check mostly caught its own staleness. Remove the script, its make target and the two prerequisite edges, along with the test-network: fixture markers that existed only to suppress it. The isolation itself is untouched. Assisted-by: Claude:claude-opus-5 [go vet] Signed-off-by: Richard Palethorpe <io@richiejp.com> * ci: keep hidden files in the offline test bundle artifact Cherry-picked from 15a37b0ac on the remote branch. The offline bundle lives under .cache/, which actions/upload-artifact skips by default, so the Linux job packed an artifact missing the very file the next step restores. The other half of 15a37b0ac moved test-network-lint out of the `test` and `test-coverage` prerequisite lists into a recipe line, so parallel make could not fingerprint the tree while generated fixtures were still changing. That is dropped: the preceding commit removes the lint entirely, and the race it worked around is one more reason a whole-tree fingerprint was the wrong mechanism. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * refactor: share bounded exponential backoff Use overflow-safe saturating arithmetic for retry delays across model import polling, downloads, registration, node operations, and model loading. Keep model import status checks responsive initially while capping their interval at 500ms. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * ci: mirror Jetson Python wheels Keep the CUDA aarch64 wheel subset in GHCR and serve it as a local PEP 503 index during L4T backend builds, preserving last-known-good packages through upstream outages. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * docs(agents): index the Jetson wheels mirror Mention the GHCR-hosted L4T wheel mirror in the CI caching guide summary so maintainers can find its outage and cache documentation. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * ci: add defensive build network proxy Record build destinations and byte counts, retry observable idempotent HTTP downloads, and isolate explorer database tests that race under coverage. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(kokoros): implement updated backend trait Return unimplemented for image upscaling, matching the backend's other unsupported modalities after the protobuf API update. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(ci): clear recovered proxy errors Do not mark a request failed when a later safe retry succeeds. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * ci: require HTTPS build interception Inject a short-lived proxy CA into BuildKit and Dockerfile RUN steps, reject plain HTTP and opaque tunnels, and retain method/status/byte telemetry for verified HTTPS traffic. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(ci): preserve system trust in unproxied builds Mount the generated interception CA at a dedicated secret path and add it to the trust bundle only in proxy-aware dependency stages. This prevents optional secret mounts from masking the system CA bundle in ordinary backend test builds. Install the requested Go toolchain before starting the proxy and satisfy cleanup error checks found by CI lint. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(ci): persist build proxy trust Install the generated proxy CA through the system-managed local certificate directory so ca-certificates upgrades retain it. Avoid turning canceled matrix jobs into proxy cleanup failures. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(ci): trust proxy in nested build scripts Install the build proxy CA before nested source fetches, route the DS4 package setup through the HTTPS mirror helper, and avoid repeated OCI setup in gallery behavior tests. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(ci): use HTTPS apt sources for Bonsai Rewrite ARM64 package sources before installing GCC and check gallery fixture cleanup errors so the optimized tests satisfy errcheck. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(privacy-filter): trust build proxy CA Install the mounted build proxy certificate before privacy-filter's make target fetches its HTTPS sources, for both source and prebuilt builder paths.\n\nAssisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * test: fail on hidden offline egress Count cgroup-scoped firewall rejects and fail the offline test harness with bounded aggregate diagnostics. Inject the gen-audio GGUF probe so fixture-backed importer tests do not attempt real network access. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(ci): preserve system CA trust Build a combined runner certificate bundle instead of replacing public roots with the generated proxy CA. Centralize additive container installation in the shared proxy CA helper. Assisted-by: Codex:gpt-5 Signed-off-by: Richard Palethorpe <io@richiejp.com> --------- Signed-off-by: Richard Palethorpe <io@richiejp.com> Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com> |
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localai-org-maint-botandlocalai-org-maint-bot
|
0761bd02c7 |
feat(chat): add end-to-end context compression (#11556)
* feat(config): add context compression policy Define the opt-in model configuration contract before the chat middleware consumes it. Document each policy field so later request handling does not invent a second schema.\n\nRefs #9534\n\nAssisted-by: Codex:gpt-5 * fix(config): register compression fields The model editor metadata gate rejects new config fields without descriptions and suitable controls. Register the compression policy so operators can edit its six fields safely. Assisted-by: Codex:gpt-5 [monitoring-prs] * feat(chat): compress long contexts Long conversations currently fail once they reach the model context window. The opt-in policy now summarizes complete older turns before primary inference and preserves the newest tool chains. Both OpenAI and MCP chat routes share the same transformation. Usage metadata and metrics expose each compression event. Refs #9534 Assisted-by: Codex:gpt-5 --------- Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com> |
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Richard Palethorpe
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d10374f849 |
feat(router): make KNN a first-class classifier with a persisted, curated corpus (#10652)
* feat(router): make KNN a first-class classifier with a persisted, curated corpus
Add `classifier: knn` — similarity-weighted voting over labelled
example prompts. Unlike score/colbert it needs no classifier model:
label knowledge lives in a corpus seeded and curated through the
admin API, so routing decisions are deterministic, auditable, and
grounded in graded experience rather than a model's opinion.
Epistemic gate: corpus entries below knn.similarity_threshold cannot
vote; when none clears it the classifier activates no labels and the
router uses the fallback — a prompt unlike all labelled experience is
treated as undecidable, not guessed. Decisions record
nearest_similarity (also on fallback rows) so admins can see how far
the nearest labelled experience was; the Routing tab explains
out-of-corpus fallbacks and shows per-label corpus counts.
Persistence: one JSONL file per router under
<data path>/router-corpus (text, labels, vector, embedder
fingerprint). The file is the source of truth; the local-store index
is rebuilt from it at classifier build time and stays a pure
in-memory index. Entries recorded under a different embedding model
re-embed on load. Also corrects the docs' false claim that
local-store collections persist — the embedding cache never survived
restarts (and still doesn't); the corpus does.
Corpus input is API-only by design (entries may contain example user
content): POST /api/router/{name}/corpus seeds (labels validated
against declared policies, embedded server-side, indexed
immediately), GET .../corpus/stats inspects — label counts only,
entry texts are never returned by any surface — DELETE .../corpus
wipes. Admin-gated like the sibling router endpoints, and exposed as
MCP tools (seed_router_corpus / get_router_corpus_stats /
clear_router_corpus) in both the httpapi and inproc clients with
coverage-test route mappings.
Plumbing: VectorStore gains SearchK (top-K was hardcoded to 1);
local-store gets InsertBatch/Delete as optional fast paths;
RouterConfig gains a knn block (embedding_model, k,
similarity_threshold, vote_threshold, store_name) with meta-registry
fields; the classifier dropdown now offers knn and the
previously-missing colbert; embedding_cache is ignored (with a
warning) for knn — it IS an embedding-KNN lookup; the stale
/api/instructions intelligent-routing entry is rewritten (it
described a classifier that no longer exists); swagger regenerated.
Tests: KNN vote/gate specs with hand-computed vote shares, corpus
manager suite (restart reload without re-embedding, fingerprint
re-embed, dedupe, hostile store names), middleware specs (corpus
routing, gate fallback, config validation, cache-wrap refusal),
corpus endpoint specs pinning the texts-never-returned contract, MCP
catalog + route-mapping gates, and a Playwright spec for corpus
stats and the out-of-corpus decision detail.
Assisted-by: Claude:claude-fable-5 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* feat(router): name consulted corpus neighbours in knn decisions
Every knn decision (decision log rows and the /api/router/decide
response) now carries neighbors: the K retrieved corpus entries by
descending similarity - including ones below the epistemic gate, which
is what makes fallback decisions diagnosable - each as {id, similarity,
labels}. The id is the entry's content hash (first 8 bytes of the
SHA-256 of its text, hex): stable across reseeds and re-embeds, and
text-free, so an external platform that seeded the corpus can recompute
text->id on its own copy and bucket decisions by corpus region (per-
region reliability accounting) without corpus text ever leaving the
server. A corrupt index payload surfaces as an id-less neighbour at a
real similarity instead of disappearing.
Assisted-by: Claude:claude-fable-5 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* refactor(router): deduplicate knn plumbing and cut corpus hot-path waste
Post-review cleanup of the knn-first-class-router branch; no behaviour
changes on the API surface.
Reuse/altitude:
- RouterKNNConfig.ResolvedStoreName is now the single source of the
router-corpus-<name> default (was hand-derived in four files).
- corpus.ResolveKNNRouter + corpus.Seed carry the shared model
resolution and seed validation; the REST endpoints and the assistant
MCP client are thin transport adapters over them, with sentinel
errors mapped to HTTP statuses at the echo boundary.
- middleware.NewClassifierDeps assembles the classifier dependency set
once for all five entry points (OpenAI, Anthropic, realtime, decide,
corpus) instead of five hand-copied literals.
- router.AllClassifiers feeds both the status endpoint and the
unknown-classifier error, ending the classifier-list drift.
- Per-classifier requirements moved out of validateRouterPolicies into
their buildClassifier arms; the knn arm owns its embedding_cache
opt-out instead of a name-check in the shared wrap tail.
- adminOnly replaces four inline copies of the admin gate in the
middleware routes.
- localVectorStore.Search delegates to SearchK (identical traces).
Efficiency:
- Manager.Add embeds outside the manager mutex and appends to the
JSONL file (O(new) instead of O(corpus) rewrite); a torn tail from a
crash mid-append is tolerated on read and repaired on next write.
- Stats memoises per store keyed on the file's stat fingerprint and no
longer takes the manager mutex, so the 5s status poll stops parsing
vector-laden JSONL and stops blocking behind seeds.
- KNN Classify decodes each neighbour payload once (was twice) and
builds refs and votes in a single pass with one fallback return.
- Corpus file writes fsync before rename/close.
- The corpus manager is built eagerly in newApplication (sync.Once
dropped); test helper dead branch removed.
Assisted-by: Claude:claude-fable-5 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* feat(router): bind knn corpus vectors to an embedder fingerprint and fail closed on mismatch
Assisted-by: Claude:claude-fable-5 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* chore(mcp): align corpus tool prompts and the mutating-tool safety list
Assisted-by: Claude:claude-fable-5 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* feat(proto,backend): report embedding shape from the llama-cpp backend
Assisted-by: Claude:claude-fable-5 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* feat(embeddings): Go-side pooling — mean/last/decayed_mean with half-life
Assisted-by: Claude:claude-fable-5 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* feat(embeddings): accept chat messages[] and per-request pooling on /v1/embeddings
Assisted-by: Claude:claude-fable-5 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* chore(middleware): name the failing fields when post-merge validation 400s
An intermittent post-merge validation failure surfaced as an opaque 400
during integration (pooling scheme mismatch that no client had sent).
Log the model, the request's pooling override, and the merged config's
pooling fields at the failure point so the next occurrence identifies
whether the request or the stored config carried the bad value.
Assisted-by: Claude:claude-fable-5 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* fix(embeddings): scheme override must not inherit the config's half-life
A model config defaulting to decayed_mean pooling carries
pooling_half_life_tokens; a request overriding the scheme to mean/last
without its own half-life inherited that value, and post-merge
validation rejected the pair the server itself had assembled. Zero the
inherited half-life when the overridden scheme is not decayed_mean; a
request that explicitly pairs a half-life with a non-decayed scheme
still 400s.
Assisted-by: Claude:claude-fable-5 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* fix embedding pooling validation and router bounds
Declare backend embedding layouts and reject incompatible pooling modes. Reset local-store dimensions after a full clear, validate KNN thresholds, and add real backend and store integration coverage.
Assisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>
* ci: run local-store integration tests
Build and install the local-store backend in the Linux test job, then run the existing store integration suite so new specs are discovered automatically.
Assisted-by: Codex:gpt-5
Signed-off-by: Richard Palethorpe <io@richiejp.com>
---------
Signed-off-by: Richard Palethorpe <io@richiejp.com>
|
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localai-org-maint-botandlocalai-org-maint-bot
|
a7bce6a128 |
fix(audio): reject incompatible transform streams (#11565)
The transform WebSocket accepted any model and opened its frame-based RPC. Any-to-any models use a different stream contract, so liquid-audio failed with an unimplemented RPC after the handshake. Reject incompatible model use cases before loading the backend. Direct realtime-audio callers to the OpenAI Realtime API. Assisted-by: Codex:gpt-5 Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com> |
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|
88edd7fc7f |
fix(distributed): run cold model loads as durable jobs instead of holding the advisory lock (#11514)
* fix(advisorylock): set statement_timeout alongside lock_timeout
WithLockCtx already overrides a deployment-wide lock_timeout on its
dedicated connection so a blocking pg_advisory_lock() waits its turn
instead of failing with 55P03. statement_timeout aborts that exact same
statement independently, with SQLSTATE 57014, and was not overridden.
Production roles commonly carry statement_timeout=60s. Any guarded
section longer than that (a cold model load stages for tens of minutes)
therefore killed every concurrent waiter:
advisorylock: acquiring lock 9003261067483446873: ERROR: canceling
statement due to statement timeout (SQLSTATE 57014)
Derive it from the same context budget as lock_timeout, with a matching
RESET so the pooled connection is returned clean.
Assisted-by: Claude Opus 5 [claude-code]
* feat(distributed): add ModelLoadJob, the durable cold-load record
A cold load in distributed mode is a long-running background job, but it
was modelled as a synchronous side effect of an inference request: the
whole of it (backend install, multi-GB staging, checkpoint load) ran
inside the per-model advisory lock. Loading a 35.7 GB GGUF held that lock
for ~20 minutes, so every concurrent request for the same model blocked
on pg_advisory_lock and died at the role's 60s statement_timeout.
Introduce the row that lets the lock shrink to a decision. Exactly one
ModelLoadJob may be active per tracking key; that uniqueness — not the
lifetime of a lock — is what de-duplicates concurrent loaders across
replicas. ClaimLoadJob does its read-then-write under the advisory lock
and nothing else: no network, file or gRPC I/O inside the guarded
section, so a claim costs milliseconds no matter how long the resulting
load takes.
LastProgress is a heartbeat rather than a byte counter. A checkpoint load
legitimately moves zero bytes for many minutes, so a reaper keyed on byte
movement would reclaim a healthy job mid-load; byte progress stays the
concern of load_deadline.go. A job whose heartbeat stops for longer than
the orphan window is reclaimable, so a replica killed mid-load cannot
wedge a model permanently.
Failed jobs keep their row for a short grace so an immediately-following
request reports the real cause instead of silently starting a fresh load
of a model that just failed.
No caller yet — the router moves onto this in the next commit.
Assisted-by: Claude Opus 5 [claude-code]
* refactor(distributed): run cold loads as jobs, outside the advisory lock
Route wrapped the entire cold load — node selection, backend install,
multi-GB staging and the remote LoadModel — in the per-model advisory
lock. The lock's job is to de-duplicate concurrent loaders, a decision
that takes milliseconds; holding it for the tens of minutes the resulting
work takes is what turned a dedup mechanism into a cluster-wide outage
for that model.
Split it into a claim and a run. The claim is the only thing left inside
the lock. The run is a background job owned by the claiming replica and
bounded by the same progress-extended deadline as before; every other
request for that model — local or on another replica — attaches as a
waiter and is served the moment the model is ready, with no duplicate
load and no lock contention.
Waiters share one broadcast rather than an ordered queue: they all want
the identical outcome, so ordering them would add fairness machinery that
changes no result. The local channel wakes same-replica waiters instantly
and a 2s DB poll is the authority, because a waiter on another replica
has no channel to close. On wake a waiter re-runs the warm path rather
than trusting the signal — the model may have been evicted in between.
A waiter whose client disconnects returns immediately and the job keeps
running; it belongs to the job record, not to the request. A failure is
recorded on the row so every waiter reports the real cause, and the row
survives briefly so the next request does not read "no job" as "not
loading" and start a duplicate load of a model that just failed.
The runner heartbeats the row on a fixed interval whether or not bytes
are moving, which is what keeps a legitimately silent checkpoint load
from being reclaimed as an orphan. Phase (installing/staging/loading) and
placement ride to the heartbeat on the context, the same seam
load_deadline.go already uses, so single-host paths are untouched.
Non-distributed mode (no DB) keeps the inline load exactly as it was.
Assisted-by: Claude Opus 5 [claude-code]
* feat(distributed): bound the wait for a loading model and answer with progress
A request whose model is cold-loading now attaches to the running job and
is served the moment the model is ready. That wait has to be bounded: a
held HTTP request cannot survive real infrastructure, and an ingress or LB
idle timeout kills a twenty-minute request regardless of what LocalAI
does.
New LOCALAI_MODEL_LOAD_WAIT (default 60s) bounds the CALLER, never the
load — the job keeps running either way. On expiry the request gets 503
with Retry-After and a structured body naming the model, the node, the
phase, byte progress and an ETA. The `error` envelope keeps OpenAI
clients working; `loading` is additive so they ignore it.
The ETA comes from the job's own observed rate and is omitted rather than
guessed until enough bytes have moved for that rate to mean anything: a
confidently wrong ETA on a twenty-minute wait is worse than none.
Retry-After is that ETA when known, clamped to [5s, 300s], and the wait
budget otherwise.
LOCALAI_MODEL_LOAD_WAIT=0 waits unbounded, for deployments with no proxy
in front. Zero in the config struct still means "unset, use the default",
so the CLI records the operator's zero as ModelLoadWaitUnbounded rather
than losing the distinction.
The distributed branch of ModelLoader.loadModel wrapped the router's
error with %s, which flattened it to a string. Use %w: the typed error is
what the HTTP layer keys the 503 off.
Assisted-by: Claude Opus 5 [claude-code]
* feat(api): add GET /api/models/{id}/load-status
A client that receives 503 while a model stages onto a worker needs
somewhere to poll. This returns the same `loading` object the 503 carries
— phase, node, byte progress and ETA — or 404 when no load is running.
Read-only and observability-shaped, so it is deliberately neither
admin-gated nor feature-gated: it explains a 503 the caller just
received, and hiding that behind a per-modality feature would make the
explanation for a failed image request depend on chat permissions. It
also gets no MCP tool, since there is nothing here an admin would manage
conversationally.
Registered on the surfaces from .agents/api-endpoints-and-auth.md: the
swagger block (existing `models` tag, so /api/instructions needs no new
area), the endpoint discovery maps in RegisterLocalAIRoutes, regenerated
swagger, and the distributed-mode docs page. No FLAG_* usecase is
involved, so capabilities.js is unchanged.
Assisted-by: Claude Opus 5 [claude-code]
* feat(ui): show cold-load progress in Chat and retry when the model is ready
A chat request for a model that is still staging onto a worker now gets a
503 carrying live progress instead of an error. Render it: the composer
shows the phase (installing / staging / loading), the node, the percent
and the ETA, then polls load-status and re-sends the request the moment
the model is ready.
Reuses the staging progress idiom the page already had rather than
inventing a second one — the two sources are folded into one
loadProgress, with the load job winning because it is authoritative
across frontend replicas and knows the phase, where the staging operation
only knows about a byte transfer this replica happens to be performing.
Waiting is bounded (three send attempts, ~30 min of polling each), so a
load that never finishes still surfaces as an error rather than as a
spinner nobody questions. An aborted generation stops the polling too.
Assisted-by: Claude Opus 5 [claude-code]
* fix(distributed): check warm-path cleanup errors
The router moved legacy cleanup calls onto newly linted lines. Report
cleanup failures while preserving the fallback to a cold load.
Assisted-by: Codex:gpt-5 [golangci-lint]
---------
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
|
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|
Richard Palethorpe
|
5c63969760 |
fix: Show MCP connection errors in the UI (#11495)
* fix(mcp): surface configured server failures Keep model-configured MCP servers visible when discovery or connection setup fails, propagate status through distributed discovery, and let the Chat UI show actionable errors while retrying unavailable servers. Add model-editor metadata for remote and stdio configuration and document the expected format, deployment networking boundary, and alternate MCP scopes. Assisted-by: Codex:gpt-5 Ordino golangci-lint Signed-off-by: Richard Palethorpe <io@richiejp.com> * build(compose): match CUDA development image Configure the API image with the cublas, CUDA 13, auth-tagged build settings used by the local development Makefile invocation, including the 24-way Docker build. Assisted-by: Codex:gpt-5 Ordino Signed-off-by: Richard Palethorpe <io@richiejp.com> * revert: keep host build settings out of compose The CUDA development deployment is managed from ~/docker/localai, not the repository example Compose file. Restore the generic example and keep machine-specific build settings in the host deployment. Assisted-by: Codex:gpt-5 Ordino Signed-off-by: Richard Palethorpe <io@richiejp.com> * fix(docker): exclude local agent artifacts Keep Claude worktrees and locally installed verification tools out of the Docker build context. These host-only directories added roughly 1.9 GB to every root image build. Assisted-by: Codex:gpt-5 Ordino Signed-off-by: Richard Palethorpe <io@richiejp.com> --------- Signed-off-by: Richard Palethorpe <io@richiejp.com> |