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Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 mudler-agentandEttore Di Giacinto
|
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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Stefan Walcz
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950c271710 |
[router] fix: re-seed the knn corpus index when the vector store comes back empty (#12267)
fix(router): re-seed the knn corpus index when the vector store comes back empty The corpus manager records a store as synced by file fingerprint and embedding fingerprint. The local-store backend behind it is an in-memory gRPC process the model loader may evict (active-backend cap, memory pressure) or the idle watchdog may kill, and relaunch on the next request — empty. The file is unchanged, so EnsureLoaded returned early and the router went blind: every probe fell back with similarity 0 while corpus/stats kept reporting the full count. Measured on a production router (LOCALAI_MAX_ACTIVE_BACKENDS=6, four resident models + two router stores): loading any further backend evicted a store, and the idle watchdog killed both after 15 minutes; /stores/find returned 0 hits against a 100-line corpus file whose stored vectors matched fresh embeddings with cosine 1.000. Two parts, because the knn classifier is built once and cached (GetOrBuildClassifier), so the sync at build time is otherwise the only one for the process lifetime: - corpus.Manager remembers one vector it inserted (probe) and, on the synced path, asks the live index for it. A miss means the index was relaunched — fall through and re-seed from the file (no re-embedding). - The router middleware wraps the knn classifier's store so every lookup runs EnsureLoaded first; the loader gets the raw store, so its probe never re-enters the wrapper. A sync error fails the lookup closed, like the build-time load. Specs: corpus package (relaunched empty store is re-seeded under an unchanged file), middleware (relaunched index behind the cached classifier is re-seeded instead of falling back; the spec is red without the wrapper). The test fake now answers Search for inserted vectors. Folds in the maintainer's follow-up (router-corpus-reseed-after-store-relaunch): reviewed and accepted. Assisted-by: Claude:claude-opus-5-5 Signed-off-by: Stefan Walcz <stefan.walcz@walcz.de> |
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陈志谦
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24f897cd09 |
docs: fix dead anchors and a dead section link (#11885)
- middleware.md: the 'default detector' link used #instance-wide-defaults; the heading is 'Instance-wide default detector' - the advanced/reference landing pages linked an ../installation/ directory that does not exist in docs/content; dropped the dead bullets (deployment content lives under getting-started) |
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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
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06ff56e674 |
feat(pii): restore request-scoped pseudonyms (#11272)
* feat(pii): restore request-scoped pseudonyms Replace masked request values with unique per-request tokens when response restoration is enabled, then restore them across JSON and SSE write boundaries. Document the opt-in model setting and expose it in config metadata.\n\nAssisted-by: Codex:gpt-5 * fix(pii): wrap reversible redaction tokens Use configurable token delimiters to avoid restoring ordinary model text that happens to match an internal identifier. Rename the option and document the confidentiality tradeoff. 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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40d35c0385 |
docs: onboarding overhaul, dedup, and error docs (#7711) (#10895)
* docs: fix CPU image tag (latest, not latest-cpu) Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: use canonical localai/localai registry in models guide Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: replace dead llama-stable backend with llama-cpp Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: correct mitm-proxy intercept config and redaction tier Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: fix text-to-audio endpoint and broken notice block Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: fix VAD example, stale FAQ, broken link, CLI list, whats-new dump Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: render advanced/reference section indexes (consolidate _index) Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: remove duplicate getting-started build/kubernetes pages Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: fold container image reference into installation/containers Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: remove stale advanced fine-tuning page (superseded by features/fine-tuning) Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: fold distribution/longcat/sound pages into their parents Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: make getting-started index accurate and complete Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: carry one concrete model through the getting-started path Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: add end-to-end 'build your first agent' walkthrough Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: add runtime errors reference; consolidate troubleshooting from FAQ Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: add agent actions catalog Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: agent-scoped MCP, skills walkthrough, agentic disambiguation Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: add concrete gallery install lines to media feature pages Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: merge installation into getting-started (URLs preserved via aliases) Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: add Operations section; move operator pages and P2P API reference Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: journey-ordered top nav and grouped feature sections Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: add docs-with-code process gate (PR template + agent instructions) Signed-off-by: Ettore Di Giacinto <mudler@localai.io> * docs: remove em/en dashes from documentation prose Signed-off-by: Ettore Di Giacinto <mudler@localai.io> --------- Signed-off-by: Ettore Di Giacinto <mudler@localai.io> Co-authored-by: Ettore Di Giacinto <mudler@localai.io> |