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11 Commits

Author SHA1 Message Date
dependabot[bot]
7d36e980be chore(deps): bump backend/rust/kokoros/sources/Kokoros
Bumps [backend/rust/kokoros/sources/Kokoros](https://github.com/lucasjinreal/Kokoros) from `7089168` to `b54354b`.
- [Commits](7089168f0c...b54354b860)

---
updated-dependencies:
- dependency-name: backend/rust/kokoros/sources/Kokoros
  dependency-version: b54354b860df94b064e254524777ce41d4d2c689
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
2026-06-22 18:33:12 +00:00
Richard Palethorpe
63bcbf6c12 fix(pii): post-merge review fixes + live NER e2e for the privacy-filter tier (#10401)
* fix(pii): post-merge review fixes + live NER e2e for the privacy-filter tier

Follow-up to the NER tier engine (#10360), already on master. This carries
only the incremental review fixes and tests that postdate that merge — the
feature itself is not re-introduced.

Review fixes:
- openai_completion.go: remove the dead `elem >= 0` conjunct in applyAnyText
  (the `elem < 0` guard above already returns).
- application.go: collapse ResolvePIIPolicy's inline re-implementation of
  PIIIsEnabled to a single cfg.PIIIsEnabled() call (sole source of the
  "explicit pii.enabled wins, else cloud-proxy default" rule) and return true
  past the !enabled guard where it is provable.
- pattern.go: hoist the triple `appConfig != nil && EnableTracing` check in
  patternDetector.Detect into one local.
- grammar.go: MaxQuantifier was 4096, but Go's regexp/syntax rejects repeat
  bounds above 1000 at Parse time, so walk()'s {n,m} guard could never fire —
  dead code shadowed by the parser. Lower it to 512 so a bound in (512,1000]
  is rejected here with an actionable error; >1000 still fails closed via
  Parse. Specs pin the relationship so the guard can't silently revert.
- PatternListEditor.jsx: clamp a directly-typed negative min_len to >=0 and
  force the DOM value back when clamping (min={0} only constrained the spinner,
  so a negative reached saved config and silently disabled the length filter).

Tests:
- piipattern_test.go: MaxQuantifier guard specs (must stay live, not dead).
- model-config.spec.js: assert the min_len clamp, and that entity_actions
  collapses a duplicate group to a single row (map semantics; regression guard
  against emitting an array that drops a row on save).
- tests/e2e-backends: token_classify capability driving the TokenClassify gRPC
  RPC against the backend image, asserting byte-correct, UTF-8 rune-aligned
  spans (entity.Text == text[start:end]) at threshold 0. Verified on CPU via
  `make test-extra-backend-privacy-filter` (3/3 specs).
- Makefile: test-extra-backend-privacy-filter wrapper.
- tests/e2e: e2e_pii_ner_test.go drives /api/pii/analyze + /api/pii/redact
  (mask + block) through the full HTTP -> detector -> redactor path; gated on
  PII_NER_MODEL_GGUF so the default suite is unaffected.
- .github/workflows/tests-pii-ner-e2e.yml: path-filtered / nightly CI job
  running the container harness on CPU.

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>

* feat(gallery): add privacy-filter-nemotron (f16 + q8)

GGUF conversions of OpenMed/privacy-filter-nemotron — a fine-grained English
PII token-classifier (55 categories / 221 BIOES classes), fine-tuned from
openai/privacy-filter on NVIDIA's Nemotron-PII dataset. Sibling to the existing
privacy-filter-multilingual entry, trading language breadth for category depth.

- privacy-filter-nemotron: F16 reference artifact (~2.8 GB).
- privacy-filter-nemotron-q8: Q8_0 quant (~1.64 GB) for RAM-constrained / edge
  use; description notes the size/speed tradeoff and to validate on your own
  data (a single dropped span is a PII leak).

Both run on the privacy-filter backend with known_usecases [token_classify] and
a default mask policy (min_score 0.5); operators add per-category entity_actions
as needed. sha256s taken from the HF repo's LFS object ids.

Assisted-by: Claude:claude-opus-4-8 [Claude Code]
Signed-off-by: Richard Palethorpe <io@richiejp.com>

---------

Signed-off-by: Richard Palethorpe <io@richiejp.com>
2026-06-22 18:26:19 +02:00
LocalAI [bot]
95b058e1c5 feat(ui): restructure Cluster Nodes view (pulse + panel roster + detail page) (#10447)
* chore: gitignore SDD scratch directory

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]

* feat(nodes): add GET /api/nodes/models cluster-wide loaded-models endpoint

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]

* feat(ui): add nodesApi.allModels() for cluster-wide model roster

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]

* feat(ui): move Scheduling to its own page and nav item

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]

* feat(ui): replace nodes stat-card strip with cluster pulse + attention callout

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]

* feat(ui): node-panel roster with inline model chips and segmented filter

Replace the Nodes table with a full-width node-panel roster that shows
each backend node's running-model chips without an expand click, plus an
All/Backend/Agent segmented filter. Per-node detail (models, backends,
labels, capacity) moves to the node detail page.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]

* feat(ui): add deep-linkable node detail page at /app/nodes/:id

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]

* fix(ui): remove em-dash from CapacityEditor comment; align detail spec backend mock

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]

* chore(ui): nodes page cleanup, hover/chip polish, docs for restructured cluster view

Nodes.jsx dead-code sweep confirmed clean (no StatCard/table/expand
state/scheduling-form leftovers). Two App.css polish fixes: move the
node-panel hover border-color onto the bordered element so hover gives
real feedback, and add the missing .model-chip__state rule the
ModelChip component already emits. Update distributed-mode docs prose to
describe the restructured cluster view (cluster pulse, attention
callout, node-panel roster with inline model chips, All/Backend/Agent
filter, node detail page at /app/nodes/:id, Scheduling as its own page).

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]

* chore(ui): drop unused gpuVendorLabel export from nodeStatus

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-8 [Claude Code]

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-22 18:24:29 +02:00
LocalAI [bot]
f2abcc7503 chore(model gallery): 🤖 add 1 new models via gallery agent (#10445)
chore(model gallery): 🤖 add new models via gallery agent

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-06-22 16:09:16 +02:00
Adira
62c99c10b3 fix(diffusers): pin diffusers and transformers to a known-good pair (#9979) (#10442)
fix(diffusers): pin diffusers and transformers to a known-good pair

The diffusers backend tracked git+https://github.com/huggingface/diffusers
(main) with an unpinned transformers. transformers v5 restructured
CLIPTextModel and removed the .text_model attribute that diffusers' single
-file loader reads, so loading any single-file Stable Diffusion checkpoint
fails:

    create_diffusers_clip_model_from_ldm (single_file_utils.py)
    position_embedding_dim = model.text_model.embeddings.position_embedding...
    AttributeError: 'CLIPTextModel' object has no attribute 'text_model'

No released diffusers (<=0.38.0) supports transformers v5 - only unreleased
diffusers main does. Because the requirements tracked main plus an unpinned
transformers, every backend image froze whichever pair existed at build
time, and images built once transformers v5 shipped but before diffusers
main caught up are permanently broken.

Pin the last known-good released pair across all requirements files:
diffusers==0.38.0 and transformers==4.57.6. 0.38.0 still exposes every
pipeline backend.py imports (Flux, Wan, Sana, LTX2, Qwen, GGUF), so no
functionality is lost, and builds become reproducible instead of drifting
into the broken window.

Fixes #9979

Assisted-by: Claude:claude-opus-4-8 [Claude Code]

Signed-off-by: Adira Denis Muhando <dennisadira@gmail.com>
2026-06-22 12:38:06 +02:00
LocalAI [bot]
7226bb9f30 chore: ⬆️ Update CrispStrobe/CrispASR to 7a8cb80907341c0204bd0488c1244764f4163883 (#10315)
⬆️ Update CrispStrobe/CrispASR

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-06-22 12:21:58 +02:00
LocalAI [bot]
569d9bbd9e fix(distributed): broadcast file-staging progress across replicas (#10440)
File-staging progress lived only in the SmartRouter's in-memory
StagingTracker on the replica performing the transfer. In a multi-replica
deployment behind a round-robin load balancer, a /api/operations poll
that lands on any other replica saw no staging row, so the progress
("processing file ... Total ... Current ...") flickered in and out as
polls rotated between frontends.

Mirror the pattern already used for gallery-install progress: the origin
replica broadcasts staging ticks over NATS (SubjectStagingProgress, a
new staging.<model>.progress subject), and peers merge them via
ApplyRemote (SubscribeBroadcasts on the wildcard). Byte-level ticks are
leading-edge debounced (~1/s); Start/FileComplete/Complete always
publish. A locally-owned op stays authoritative so the origin's own echo
and stray peer events can't clobber it, and mirrored remote ops expire
after a TTL so a missed Done event can't leave a phantom row. The UI read
path (StagingTracker.GetAll) is unchanged.


Assisted-by: Claude:claude-opus-4-8 [Claude Code]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-22 09:28:07 +02:00
LocalAI [bot]
682fb2718c fix(distributed): detach cold-load staging from the request context (#10438)
A model not yet loaded on a worker is staged lazily on the inference
request path. Staging a multi-GB model takes minutes - far longer than
any client keeps its HTTP request open - so a browser refresh, an
ingress/LB idle-timeout, or a round-robined retry landing on another
frontend replica cancels the request context and aborts the upload with
"context canceled" mid-transfer. Large models then never finish staging,
so they never load (observed in a 2-replica deployment: both frontends
repeatedly failed to stage a 15.7 GB GGUF, each attempt dying at a
different offset).

Bind the cold load (staging + LoadModel + the per-model advisory lock) to
context.WithoutCancel(ctx): it keeps the request's values (prefix chain)
but drops cancellation/deadline. Each long step keeps its own bound (the
file stager's resume budget, LoadModel's 5m timeout), and the advisory
lock still de-dupes concurrent loaders across replicas.


Assisted-by: Claude:claude-opus-4-8 [Claude Code]

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
2026-06-22 09:06:20 +02:00
LocalAI [bot]
20c643e1f6 chore(model gallery): 🤖 add 1 new models via gallery agent (#10439)
chore(model gallery): 🤖 add new models via gallery agent

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-06-22 08:46:34 +02:00
VJSai
64a4351f3a feat: send a LocalAI User-Agent on registry pulls (#10434)
LocalAI pulls models from OCI registries (via go-containerregistry), the
Ollama registry, and OCI blob stores (via oras), but every request went
out with the underlying library's generic User-Agent, so registry
operators had no way to attribute traffic to LocalAI.

Add an oci.UserAgent() helper that returns "LocalAI" (or
"LocalAI/<version>" when the binary is built with a version stamp via
internal.Version) and wire it into all three pull paths:

- pkg/oci/image.go: remote.WithUserAgent on the go-containerregistry
  image and digest requests
- pkg/oci/ollama.go: a User-Agent header on the Ollama manifest request
- pkg/oci/blob.go: a LocalAI User-Agent on the oras blob client. This
  mirrors oras' auth.DefaultClient (same retry.DefaultClient policy);
  only the advertised User-Agent changes.

Implements #6258.


Assisted-by: Claude:claude-opus-4-8 golangci-lint

Signed-off-by: Vijay Sai <vijaysaijnv@gmail.com>
2026-06-22 08:44:12 +02:00
LocalAI [bot]
b7d67f5779 chore: ⬆️ Update ggml-org/llama.cpp to 7c082bc417bbe53210a83df4ba5b49e18ce6193c (#10417)
⬆️ Update ggml-org/llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
2026-06-22 08:43:40 +02:00
79 changed files with 3107 additions and 1584 deletions

97
.github/workflows/tests-pii-ner-e2e.yml vendored Normal file
View File

@@ -0,0 +1,97 @@
---
name: 'PII NER tier E2E (live GGUF, CPU)'
# Runs the real privacy-filter GGUF NER tier end-to-end on CPU — the gap the
# hermetic tests/e2e suite cannot cover (it only exercises the in-process
# pattern tier). Heavy (builds the C++ backend image + downloads a ~2.7 GB
# GGUF), so it is path-filtered on PRs and otherwise runs nightly / on demand.
#
# This drives the container-level harness (tests/e2e-backends) via
# `make test-extra-backend-privacy-filter`: it builds the privacy-filter image,
# downloads the model, loads it on CPU, and asserts byte-correct, UTF-8-aligned
# TokenClassify spans. The complementary HTTP-path specs in tests/e2e
# (e2e_pii_ner_test.go) Skip unless PII_NER_MODEL_GGUF is wired.
on:
workflow_dispatch:
schedule:
- cron: '0 3 * * *'
push:
branches:
- master
paths:
- 'backend/cpp/privacy-filter/**'
- 'backend/Dockerfile.privacy-filter'
- 'core/services/routing/pii/**'
- 'core/services/routing/piidetector/**'
- 'core/backend/token_classify.go'
- 'core/http/endpoints/localai/pii.go'
- 'core/schema/pii.go'
- 'tests/e2e-backends/**'
- 'tests/e2e/e2e_pii_ner_test.go'
- 'tests/e2e/e2e_suite_test.go'
- '.github/workflows/tests-pii-ner-e2e.yml'
pull_request:
paths:
- 'backend/cpp/privacy-filter/**'
- 'backend/Dockerfile.privacy-filter'
- 'core/services/routing/pii/**'
- 'core/services/routing/piidetector/**'
- 'core/backend/token_classify.go'
- 'core/http/endpoints/localai/pii.go'
- 'core/schema/pii.go'
- 'tests/e2e-backends/**'
- 'tests/e2e/e2e_pii_ner_test.go'
- 'tests/e2e/e2e_suite_test.go'
- '.github/workflows/tests-pii-ner-e2e.yml'
concurrency:
group: ci-tests-pii-ner-e2e-${{ github.event.pull_request.number || github.sha }}-${{ github.repository }}
cancel-in-progress: ${{ github.event_name == 'pull_request' }}
jobs:
tests-pii-ner-e2e:
runs-on: ubuntu-latest
strategy:
matrix:
go-version: ['1.25.x']
steps:
- name: Clone
uses: actions/checkout@v6
with:
submodules: true
- name: Free disk space
run: |
sudo rm -rf /usr/share/dotnet /usr/local/lib/android /opt/ghc /opt/hostedtoolcache/CodeQL || true
sudo docker image prune --all --force || true
df -h
- name: Configure apt mirror on runner
uses: ./.github/actions/configure-apt-mirror
- name: Setup Go ${{ matrix.go-version }}
uses: actions/setup-go@v5
with:
go-version: ${{ matrix.go-version }}
cache: false
- name: Proto Dependencies
run: |
curl -L -s https://github.com/protocolbuffers/protobuf/releases/download/v26.1/protoc-26.1-linux-x86_64.zip -o protoc.zip && \
unzip -j -d /usr/local/bin protoc.zip bin/protoc && \
rm protoc.zip
go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.2
go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@1958fcbe2ca8bd93af633f11e97d44e567e945af
PATH="$PATH:$HOME/go/bin" make protogen-go
- name: Dependencies
run: |
sudo apt-get update
sudo apt-get install -y build-essential
# Builds local-ai-backend:privacy-filter, downloads the GGUF, loads it on
# CPU and runs the token_classify capability spec (byte-offset contract).
- name: Run live PII NER backend E2E
run: PATH="$PATH:$HOME/go/bin" make test-extra-backend-privacy-filter
- name: Setup tmate session if tests fail
if: ${{ failure() }}
uses: mxschmitt/action-tmate@v3.23
with:
detached: true
connect-timeout-seconds: 180
limit-access-to-actor: true

3
.gitignore vendored
View File

@@ -91,3 +91,6 @@ core/http/react-ui/test-results/
# Local worktrees
.worktrees/
# SDD / brainstorm scratch (agent-driven development)
.superpowers/

View File

@@ -690,6 +690,16 @@ test-extra-backend-llama-cpp-transcription: docker-build-llama-cpp
BACKEND_TEST_CTX_SIZE=2048 \
$(MAKE) test-extra-backend
## privacy-filter: the PII/NER token-classification backend. Exercises the
## TokenClassify RPC and asserts byte-correct, UTF-8-aligned span offsets
## against the openai-privacy-filter multilingual GGUF (CPU-runnable, ~50M
## active params). This is the live-backend coverage for the PII NER tier.
test-extra-backend-privacy-filter: docker-build-privacy-filter
BACKEND_IMAGE=local-ai-backend:privacy-filter \
BACKEND_TEST_MODEL_URL=https://huggingface.co/LocalAI-io/privacy-filter-multilingual-GGUF/resolve/main/privacy-filter-multilingual-f16.gguf \
BACKEND_TEST_CAPS=health,load,token_classify \
$(MAKE) test-extra-backend
## vllm is resolved from a HuggingFace model id (no file download) and
## exercises Predict + streaming + tool-call extraction via the hermes parser.
## Requires a host CPU with the SIMD instructions the prebuilt vllm CPU

View File

@@ -1,5 +1,5 @@
LLAMA_VERSION?=e475fa2b5f9fb50c3d6fc3e7c6fdf1e004465b62
LLAMA_VERSION?=7c082bc417bbe53210a83df4ba5b49e18ce6193c
LLAMA_REPO?=https://github.com/ggerganov/llama.cpp
CMAKE_ARGS?=

View File

@@ -8,7 +8,7 @@ JOBS?=$(shell nproc --ignore=1)
# CrispASR version (release tag)
CRISPASR_REPO?=https://github.com/CrispStrobe/CrispASR
CRISPASR_VERSION?=d745bda4386ae0f9d1d2f23fff8ec95d76428221
CRISPASR_VERSION?=7a8cb80907341c0204bd0488c1244764f4163883
SO_TARGET?=libgocrispasr.so
CMAKE_ARGS+=-DBUILD_SHARED_LIBS=OFF

View File

@@ -1,7 +1,7 @@
--extra-index-url https://download.pytorch.org/whl/cpu
git+https://github.com/huggingface/diffusers
diffusers==0.38.0
opencv-python
transformers
transformers==4.57.6
torchvision==0.22.1
accelerate
git+https://github.com/xhinker/sd_embed
@@ -10,9 +10,15 @@ sentencepiece
torch==2.7.1
optimum-quanto
ftfy
# TODO: re-add compel once it supports transformers >= 5.
# Tracking: https://github.com/damian0815/compel/pull/129
# https://github.com/damian0815/compel/issues/128
# compel currently pins transformers~=4.25, which forced pip into multi-hour
# resolver backtracking storms in CI. backend.py imports it lazily and gates
# the COMPEL=1 env var on the import succeeding, so dropping it here is safe.
# diffusers and transformers are pinned together on purpose. transformers v5
# restructured CLIPTextModel and dropped the `.text_model` attribute, which
# breaks single-file Stable Diffusion loading on every released diffusers
# (<=0.38.0); only unreleased diffusers main supports transformers v5. Tracking
# main via git froze whichever broken pair existed at image-build time. Pin the
# last known-good released pair so builds are reproducible and can't drift into
# the broken window. See https://github.com/mudler/LocalAI/issues/9979
#
# compel is intentionally omitted: it pins transformers~=4.25, which conflicts
# with this pin and previously forced pip into multi-hour resolver backtracking
# storms in CI. backend.py imports it lazily and gates the COMPEL=1 env var on
# the import succeeding, so dropping it here is safe.

View File

@@ -1,7 +1,7 @@
--extra-index-url https://download.pytorch.org/whl/cu121
git+https://github.com/huggingface/diffusers
diffusers==0.38.0
opencv-python
transformers
transformers==4.57.6
torchvision
accelerate
git+https://github.com/xhinker/sd_embed
@@ -10,9 +10,15 @@ sentencepiece
torch
ftfy
optimum-quanto
# TODO: re-add compel once it supports transformers >= 5.
# Tracking: https://github.com/damian0815/compel/pull/129
# https://github.com/damian0815/compel/issues/128
# compel currently pins transformers~=4.25, which forced pip into multi-hour
# resolver backtracking storms in CI. backend.py imports it lazily and gates
# the COMPEL=1 env var on the import succeeding, so dropping it here is safe.
# diffusers and transformers are pinned together on purpose. transformers v5
# restructured CLIPTextModel and dropped the `.text_model` attribute, which
# breaks single-file Stable Diffusion loading on every released diffusers
# (<=0.38.0); only unreleased diffusers main supports transformers v5. Tracking
# main via git froze whichever broken pair existed at image-build time. Pin the
# last known-good released pair so builds are reproducible and can't drift into
# the broken window. See https://github.com/mudler/LocalAI/issues/9979
#
# compel is intentionally omitted: it pins transformers~=4.25, which conflicts
# with this pin and previously forced pip into multi-hour resolver backtracking
# storms in CI. backend.py imports it lazily and gates the COMPEL=1 env var on
# the import succeeding, so dropping it here is safe.

View File

@@ -1,7 +1,7 @@
--extra-index-url https://download.pytorch.org/whl/cu130
git+https://github.com/huggingface/diffusers
diffusers==0.38.0
opencv-python
transformers
transformers==4.57.6
torchvision
accelerate
git+https://github.com/xhinker/sd_embed
@@ -10,9 +10,15 @@ sentencepiece
torch
ftfy
optimum-quanto
# TODO: re-add compel once it supports transformers >= 5.
# Tracking: https://github.com/damian0815/compel/pull/129
# https://github.com/damian0815/compel/issues/128
# compel currently pins transformers~=4.25, which forced pip into multi-hour
# resolver backtracking storms in CI. backend.py imports it lazily and gates
# the COMPEL=1 env var on the import succeeding, so dropping it here is safe.
# diffusers and transformers are pinned together on purpose. transformers v5
# restructured CLIPTextModel and dropped the `.text_model` attribute, which
# breaks single-file Stable Diffusion loading on every released diffusers
# (<=0.38.0); only unreleased diffusers main supports transformers v5. Tracking
# main via git froze whichever broken pair existed at image-build time. Pin the
# last known-good released pair so builds are reproducible and can't drift into
# the broken window. See https://github.com/mudler/LocalAI/issues/9979
#
# compel is intentionally omitted: it pins transformers~=4.25, which conflicts
# with this pin and previously forced pip into multi-hour resolver backtracking
# storms in CI. backend.py imports it lazily and gates the COMPEL=1 env var on
# the import succeeding, so dropping it here is safe.

View File

@@ -1,17 +1,23 @@
--extra-index-url https://download.pytorch.org/whl/rocm7.0
torch==2.10.0+rocm7.0
torchvision==0.25.0+rocm7.0
git+https://github.com/huggingface/diffusers
diffusers==0.38.0
opencv-python
transformers
transformers==4.57.6
accelerate
peft
sentencepiece
optimum-quanto
ftfy
# TODO: re-add compel once it supports transformers >= 5.
# Tracking: https://github.com/damian0815/compel/pull/129
# https://github.com/damian0815/compel/issues/128
# compel currently pins transformers~=4.25, which forced pip into multi-hour
# resolver backtracking storms in CI. backend.py imports it lazily and gates
# the COMPEL=1 env var on the import succeeding, so dropping it here is safe.
# diffusers and transformers are pinned together on purpose. transformers v5
# restructured CLIPTextModel and dropped the `.text_model` attribute, which
# breaks single-file Stable Diffusion loading on every released diffusers
# (<=0.38.0); only unreleased diffusers main supports transformers v5. Tracking
# main via git froze whichever broken pair existed at image-build time. Pin the
# last known-good released pair so builds are reproducible and can't drift into
# the broken window. See https://github.com/mudler/LocalAI/issues/9979
#
# compel is intentionally omitted: it pins transformers~=4.25, which conflicts
# with this pin and previously forced pip into multi-hour resolver backtracking
# storms in CI. backend.py imports it lazily and gates the COMPEL=1 env var on
# the import succeeding, so dropping it here is safe.

View File

@@ -3,18 +3,24 @@ torch
torchvision
optimum[openvino]
setuptools
git+https://github.com/huggingface/diffusers
diffusers==0.38.0
opencv-python
transformers
transformers==4.57.6
accelerate
git+https://github.com/xhinker/sd_embed
peft
sentencepiece
optimum-quanto
ftfy
# TODO: re-add compel once it supports transformers >= 5.
# Tracking: https://github.com/damian0815/compel/pull/129
# https://github.com/damian0815/compel/issues/128
# compel currently pins transformers~=4.25, which forced pip into multi-hour
# resolver backtracking storms in CI. backend.py imports it lazily and gates
# the COMPEL=1 env var on the import succeeding, so dropping it here is safe.
# diffusers and transformers are pinned together on purpose. transformers v5
# restructured CLIPTextModel and dropped the `.text_model` attribute, which
# breaks single-file Stable Diffusion loading on every released diffusers
# (<=0.38.0); only unreleased diffusers main supports transformers v5. Tracking
# main via git froze whichever broken pair existed at image-build time. Pin the
# last known-good released pair so builds are reproducible and can't drift into
# the broken window. See https://github.com/mudler/LocalAI/issues/9979
#
# compel is intentionally omitted: it pins transformers~=4.25, which conflicts
# with this pin and previously forced pip into multi-hour resolver backtracking
# storms in CI. backend.py imports it lazily and gates the COMPEL=1 env var on
# the import succeeding, so dropping it here is safe.

View File

@@ -1,7 +1,7 @@
--extra-index-url https://pypi.jetson-ai-lab.io/jp6/cu129/
torch
git+https://github.com/huggingface/diffusers
transformers
diffusers==0.38.0
transformers==4.57.6
accelerate
peft
optimum-quanto
@@ -9,9 +9,15 @@ numpy<2
sentencepiece
torchvision
ftfy
# TODO: re-add compel once it supports transformers >= 5.
# Tracking: https://github.com/damian0815/compel/pull/129
# https://github.com/damian0815/compel/issues/128
# compel currently pins transformers~=4.25, which forced pip into multi-hour
# resolver backtracking storms in CI. backend.py imports it lazily and gates
# the COMPEL=1 env var on the import succeeding, so dropping it here is safe.
# diffusers and transformers are pinned together on purpose. transformers v5
# restructured CLIPTextModel and dropped the `.text_model` attribute, which
# breaks single-file Stable Diffusion loading on every released diffusers
# (<=0.38.0); only unreleased diffusers main supports transformers v5. Tracking
# main via git froze whichever broken pair existed at image-build time. Pin the
# last known-good released pair so builds are reproducible and can't drift into
# the broken window. See https://github.com/mudler/LocalAI/issues/9979
#
# compel is intentionally omitted: it pins transformers~=4.25, which conflicts
# with this pin and previously forced pip into multi-hour resolver backtracking
# storms in CI. backend.py imports it lazily and gates the COMPEL=1 env var on
# the import succeeding, so dropping it here is safe.

View File

@@ -1,7 +1,7 @@
--extra-index-url https://download.pytorch.org/whl/cu130
torch
git+https://github.com/huggingface/diffusers
transformers
diffusers==0.38.0
transformers==4.57.6
accelerate
peft
optimum-quanto
@@ -10,9 +10,15 @@ sentencepiece
torchvision
ftfy
chardet
# TODO: re-add compel once it supports transformers >= 5.
# Tracking: https://github.com/damian0815/compel/pull/129
# https://github.com/damian0815/compel/issues/128
# compel currently pins transformers~=4.25, which forced pip into multi-hour
# resolver backtracking storms in CI. backend.py imports it lazily and gates
# the COMPEL=1 env var on the import succeeding, so dropping it here is safe.
# diffusers and transformers are pinned together on purpose. transformers v5
# restructured CLIPTextModel and dropped the `.text_model` attribute, which
# breaks single-file Stable Diffusion loading on every released diffusers
# (<=0.38.0); only unreleased diffusers main supports transformers v5. Tracking
# main via git froze whichever broken pair existed at image-build time. Pin the
# last known-good released pair so builds are reproducible and can't drift into
# the broken window. See https://github.com/mudler/LocalAI/issues/9979
#
# compel is intentionally omitted: it pins transformers~=4.25, which conflicts
# with this pin and previously forced pip into multi-hour resolver backtracking
# storms in CI. backend.py imports it lazily and gates the COMPEL=1 env var on
# the import succeeding, so dropping it here is safe.

View File

@@ -1,16 +1,22 @@
torch==2.7.1
torchvision==0.22.1
git+https://github.com/huggingface/diffusers
diffusers==0.38.0
opencv-python
transformers
transformers==4.57.6
accelerate
peft
sentencepiece
optimum-quanto
ftfy
# TODO: re-add compel once it supports transformers >= 5.
# Tracking: https://github.com/damian0815/compel/pull/129
# https://github.com/damian0815/compel/issues/128
# compel currently pins transformers~=4.25, which forced pip into multi-hour
# resolver backtracking storms in CI. backend.py imports it lazily and gates
# the COMPEL=1 env var on the import succeeding, so dropping it here is safe.
# diffusers and transformers are pinned together on purpose. transformers v5
# restructured CLIPTextModel and dropped the `.text_model` attribute, which
# breaks single-file Stable Diffusion loading on every released diffusers
# (<=0.38.0); only unreleased diffusers main supports transformers v5. Tracking
# main via git froze whichever broken pair existed at image-build time. Pin the
# last known-good released pair so builds are reproducible and can't drift into
# the broken window. See https://github.com/mudler/LocalAI/issues/9979
#
# compel is intentionally omitted: it pins transformers~=4.25, which conflicts
# with this pin and previously forced pip into multi-hour resolver backtracking
# storms in CI. backend.py imports it lazily and gates the COMPEL=1 env var on
# the import succeeding, so dropping it here is safe.

View File

@@ -341,11 +341,9 @@ func (a *Application) ResolvePIIPolicy(cfg *config.ModelConfig) (enabled bool, d
}
appCfg := a.ApplicationConfig()
if cfg.PII.Enabled != nil {
enabled = *cfg.PII.Enabled
} else {
enabled = cfg.PIIIsEnabled() // backend default (cloud-proxy)
}
// PIIIsEnabled already encodes "explicit pii.enabled wins, else backend
// default (cloud-proxy)" — the single source of that rule.
enabled = cfg.PIIIsEnabled()
if !enabled {
return false, nil
}
@@ -354,7 +352,7 @@ func (a *Application) ResolvePIIPolicy(cfg *config.ModelConfig) (enabled bool, d
if len(detectors) == 0 {
detectors = append([]string(nil), appCfg.PIIDefaultDetectors...)
}
return enabled, detectors
return true, detectors // enabled is necessarily true past the !enabled guard
}
// PIIPolicyResolver adapts ResolvePIIPolicy to pii.PolicyResolver for

View File

@@ -357,6 +357,15 @@ func initDistributed(cfg *config.ApplicationConfig, authDB *gorm.DB, configLoade
Pressure: pressure,
})
// Wire staging-progress broadcasting so file-staging shows up on every
// replica, not just the one performing the transfer. Without this, a
// /api/operations poll that round-robins onto a peer sees no staging row and
// the progress flickers. The origin publishes; peers mirror via the wildcard.
router.StagingTracker().SetPublisher(natsClient)
if _, err := router.StagingTracker().SubscribeBroadcasts(natsClient); err != nil {
xlog.Warn("Failed to subscribe to staging progress broadcasts", "error", err)
}
// Create ReplicaReconciler for auto-scaling model replicas. Adapter +
// RegistrationToken feed the state-reconciliation passes: pending op
// drain uses the adapter, and model health probes use the token to auth

View File

@@ -385,6 +385,23 @@ func GetNodeModelsEndpoint(registry *nodes.NodeRegistry) echo.HandlerFunc {
}
}
// ListAllNodeModelsEndpoint returns all loaded models across all healthy nodes.
// @Summary List all loaded models cluster-wide
// @Tags Nodes
// @Success 200 {array} nodes.NodeModel
// @Router /api/nodes/models [get]
func ListAllNodeModelsEndpoint(registry *nodes.NodeRegistry) echo.HandlerFunc {
return func(c echo.Context) error {
ctx := c.Request().Context()
models, err := registry.ListAllLoadedModels(ctx)
if err != nil {
xlog.Error("Failed to list all node models", "error", err)
return c.JSON(http.StatusInternalServerError, nodeError(http.StatusInternalServerError, "failed to list node models"))
}
return c.JSON(http.StatusOK, models)
}
}
// DrainNodeEndpoint sets a node to draining status (no new requests).
func DrainNodeEndpoint(registry *nodes.NodeRegistry) echo.HandlerFunc {
return func(c echo.Context) error {

View File

@@ -407,4 +407,44 @@ var _ = Describe("Node HTTP handlers", func() {
Expect(names).To(ConsistOf("alpha", "beta"))
})
})
Describe("ListAllNodeModelsEndpoint", func() {
It("returns an empty list when no models are loaded", func() {
e := echo.New()
req := httptest.NewRequest(http.MethodGet, "/", nil)
rec := httptest.NewRecorder()
c := e.NewContext(req, rec)
handler := ListAllNodeModelsEndpoint(registry)
Expect(handler(c)).To(Succeed())
Expect(rec.Code).To(Equal(http.StatusOK))
var list []nodes.NodeModel
Expect(json.Unmarshal(rec.Body.Bytes(), &list)).To(Succeed())
Expect(list).To(BeEmpty())
})
It("returns loaded models across healthy nodes", func() {
ctx := context.Background()
Expect(registry.Register(ctx, &nodes.BackendNode{
ID: "n1", Name: "alpha", Address: "10.0.0.1:50051", Status: nodes.StatusHealthy,
}, true)).To(Succeed())
Expect(registry.SetNodeModel(ctx, "n1", "llama-3.3", 0, "loaded", "10.0.0.1:50051", 0)).To(Succeed())
e := echo.New()
req := httptest.NewRequest(http.MethodGet, "/", nil)
rec := httptest.NewRecorder()
c := e.NewContext(req, rec)
handler := ListAllNodeModelsEndpoint(registry)
Expect(handler(c)).To(Succeed())
Expect(rec.Code).To(Equal(http.StatusOK))
var list []nodes.NodeModel
Expect(json.Unmarshal(rec.Body.Bytes(), &list)).To(Succeed())
Expect(list).To(HaveLen(1))
Expect(list[0].ModelName).To(Equal("llama-3.3"))
Expect(list[0].NodeID).To(Equal("n1"))
})
})
})

View File

@@ -288,6 +288,21 @@ test.describe('Model Editor - Interactive Tab', () => {
await expect(page.locator('input[placeholder^="match,"]')).toBeVisible()
})
test('pattern min_len clamps a directly-typed negative to 0', async ({ page }) => {
const searchInput = page.locator('input[placeholder="Search fields to add..."]')
await searchInput.fill('Custom Secret Patterns')
const dropdown = searchInput.locator('..').locator('..')
await dropdown.locator('div', { hasText: 'Custom Secret Patterns' }).first().click()
await page.locator('button', { hasText: 'Add pattern' }).click()
// The number input's min={0} only limits the spinner arrows, not keyboard
// entry; the editor must sanitise a typed negative so a meaningless
// negative length floor never reaches the saved config.
const minLen = page.locator('input[aria-label="Minimum length"]')
await minLen.fill('-5')
await expect(minLen).toHaveValue('0')
})
// Regression: a map-typed field (entity_actions) present in the loaded YAML
// must render WITH its values. flattenConfig used to recurse into the map,
// scattering it across pii_detection.entity_actions.<GROUP> paths that match
@@ -329,4 +344,37 @@ test.describe('Model Editor - Interactive Tab', () => {
await expect(page.getByText(/block —/i).first()).toBeVisible()
})
// A map cannot hold two values for one key, so renaming a row to an existing
// group must collapse to a single row (Object.fromEntries, last write wins)
// rather than rendering two conflicting rows that silently lose one on save.
test('entity_actions collapses a duplicate group to a single row', async ({ page }) => {
await page.route('**/api/models/edit/ner-model', (route) => {
route.fulfill({
contentType: 'application/json',
body: JSON.stringify({
name: 'ner-model',
config: [
'name: ner-model',
'backend: llama-cpp',
'pii_detection:',
' entity_actions:',
' SSN: block',
' EMAIL: mask',
'',
].join('\n'),
}),
})
})
await page.goto('/app/model-editor/ner-model')
const groupInputs = page.locator('input[aria-label="Entity group"]')
await expect(groupInputs).toHaveCount(2)
// Rename the EMAIL row to duplicate SSN; the editor collapses to one SSN row.
await groupInputs.nth(1).fill('SSN')
await expect(groupInputs).toHaveCount(1)
await expect(groupInputs.nth(0)).toHaveValue('SSN')
})
})

View File

@@ -0,0 +1,34 @@
import { test, expect } from './coverage-fixtures.js'
const ID = 'n1'
async function mockNode(page) {
await page.route(`**/api/nodes/${ID}`, r => r.fulfill({ status: 200, contentType: 'application/json',
body: JSON.stringify({ id: ID, name: 'alpha', node_type: 'backend', address: '10.0.0.1:50051', status: 'healthy', total_vram: 24e9, available_vram: 12e9, max_replicas_per_model: 1, labels: { env: 'prod' } }) }))
await page.route(`**/api/nodes/${ID}/models`, r => r.fulfill({ status: 200, contentType: 'application/json',
body: JSON.stringify([{ node_id: ID, model_name: 'llama-3.3', state: 'loaded', in_flight: 0, replica_index: 0 }]) }))
await page.route(`**/api/nodes/${ID}/backends`, r => r.fulfill({ status: 200, contentType: 'application/json',
body: JSON.stringify([{ name: 'llama-cpp', is_system: true, installed_at: '2026-06-01T00:00:00Z' }]) }))
}
test.describe('Node detail page', () => {
test('renders sections for a node', async ({ page }) => {
await mockNode(page)
await page.goto(`/app/nodes/${ID}`)
await expect(page.locator('.page-title').first()).toBeVisible({ timeout: 15_000 })
await expect(page.getByText('alpha')).toBeVisible()
await expect(page.getByText('llama-3.3')).toBeVisible()
await expect(page.getByText('llama-cpp')).toBeVisible()
await expect(page.getByText('env=prod')).toBeVisible()
})
test('is reachable by clicking a roster panel', async ({ page }) => {
await page.route('**/api/nodes', r => r.fulfill({ status: 200, contentType: 'application/json',
body: JSON.stringify([{ id: ID, name: 'alpha', node_type: 'backend', address: '10.0.0.1:50051', status: 'healthy' }]) }))
await page.route('**/api/nodes/models', r => r.fulfill({ status: 200, contentType: 'application/json', body: '[]' }))
await page.route('**/api/nodes/scheduling', r => r.fulfill({ status: 200, contentType: 'application/json', body: '[]' }))
await mockNode(page)
await page.goto('/app/nodes')
await page.locator('.node-panel').filter({ hasText: 'alpha' }).getByText('alpha').click()
await expect(page).toHaveURL(new RegExp(`/app/nodes/${ID}$`))
})
})

View File

@@ -12,28 +12,37 @@ const NODE_NAME = 'worker-test'
const BACKEND_NAME = 'cuda12-vllm-development'
async function mockDistributedNodes(page, { onDelete } = {}) {
const nodeRecord = {
id: NODE_ID,
name: NODE_NAME,
node_type: 'backend',
address: '10.0.0.1:50051',
http_address: '10.0.0.1:8090',
status: 'healthy',
total_vram: 0,
available_vram: 0,
total_ram: 8_000_000_000,
available_ram: 4_000_000_000,
gpu_vendor: '',
last_heartbeat: new Date().toISOString(),
created_at: new Date().toISOString(),
updated_at: new Date().toISOString(),
}
await page.route('**/api/nodes', (route) => {
route.fulfill({
status: 200,
contentType: 'application/json',
body: JSON.stringify([
{
id: NODE_ID,
name: NODE_NAME,
node_type: 'backend',
address: '10.0.0.1:50051',
http_address: '10.0.0.1:8090',
status: 'healthy',
total_vram: 0,
available_vram: 0,
total_ram: 8_000_000_000,
available_ram: 4_000_000_000,
gpu_vendor: '',
last_heartbeat: new Date().toISOString(),
created_at: new Date().toISOString(),
updated_at: new Date().toISOString(),
},
]),
body: JSON.stringify([nodeRecord]),
})
})
// The detail page fetches the single node via nodesApi.get(id).
await page.route(`**/api/nodes/${NODE_ID}`, (route) => {
route.fulfill({
status: 200,
contentType: 'application/json',
body: JSON.stringify(nodeRecord),
})
})
@@ -80,24 +89,18 @@ async function mockDistributedNodes(page, { onDelete } = {}) {
})
}
async function expandNodeAndWaitForBackends(page) {
await page.goto('/app/nodes')
// Click the row to expand it. The chevron toggle and the row both work,
// but clicking the name cell is the most user-like.
await page.getByText(NODE_NAME).first().click()
// Backends, Capacity and Labels live behind a "Manage" <details>
// disclosure (the drawer was distilled to keep at-a-glance content
// lean — see distill refactor in the multi-replica branch). Open it
// by clicking the summary inside the .node-manage scope so the
// per-node backend table is in the DOM before assertions run.
await page.locator('.node-manage > summary').first().click()
async function openNodeDetail(page) {
// The per-node backend table now lives on the deep-linkable detail page
// at /app/nodes/:id (the old expand-row + "Manage" disclosure was removed
// when the roster was restructured). Navigate straight there.
await page.goto(`/app/nodes/${NODE_ID}`)
await expect(page.getByRole('cell', { name: BACKEND_NAME, exact: true })).toBeVisible({ timeout: 10_000 })
}
test.describe('Nodes page — per-node backend actions', () => {
test('upgrade affordance is self-explanatory (not "Reinstall backend" with a sync icon)', async ({ page }) => {
await mockDistributedNodes(page)
await expandNodeAndWaitForBackends(page)
await openNodeDetail(page)
// Negative: the old, ambiguous wording must not be used.
await expect(page.locator('button[title="Reinstall backend"]')).toHaveCount(0)
@@ -114,7 +117,7 @@ test.describe('Nodes page — per-node backend actions', () => {
test('per-node backend row shows a delete (trash) button next to upgrade', async ({ page }) => {
await mockDistributedNodes(page)
await expandNodeAndWaitForBackends(page)
await openNodeDetail(page)
const deleteBtn = page.locator('button[title="Delete backend from this node"]')
await expect(deleteBtn).toBeVisible()
@@ -128,7 +131,7 @@ test.describe('Nodes page — per-node backend actions', () => {
postedBody = route.request().postDataJSON()
},
})
await expandNodeAndWaitForBackends(page)
await openNodeDetail(page)
await page.locator('button[title="Delete backend from this node"]').click()
@@ -150,7 +153,7 @@ test.describe('Nodes page — per-node backend actions', () => {
deleteCalls += 1
},
})
await expandNodeAndWaitForBackends(page)
await openNodeDetail(page)
await page.locator('button[title="Delete backend from this node"]').click()

View File

@@ -0,0 +1,47 @@
import { test, expect } from './coverage-fixtures.js'
async function mockCluster(page, nodes) {
await page.route('**/api/nodes', r => r.fulfill({ status: 200, contentType: 'application/json', body: JSON.stringify(nodes) }))
await page.route('**/api/nodes/models', r => r.fulfill({ status: 200, contentType: 'application/json', body: '[]' }))
await page.route('**/api/nodes/scheduling', r => r.fulfill({ status: 200, contentType: 'application/json', body: '[]' }))
}
test.describe('Nodes roster header', () => {
test('shows a cluster pulse line and no stat-card grid', async ({ page }) => {
await mockCluster(page, [
{ id: 'n1', name: 'alpha', node_type: 'backend', address: '10.0.0.1:50051', status: 'healthy' },
{ id: 'n2', name: 'beta', node_type: 'backend', address: '10.0.0.2:50051', status: 'draining' },
])
await page.goto('/app/nodes')
await expect(page.locator('.cluster-pulse')).toBeVisible({ timeout: 15_000 })
await expect(page.locator('.cluster-pulse')).toContainText('2 nodes')
await expect(page.locator('.stat-grid')).toHaveCount(0)
})
test('shows an approval callout for pending nodes', async ({ page }) => {
await mockCluster(page, [{ id: 'n3', name: 'gamma', node_type: 'backend', address: '10.0.0.3:50051', status: 'pending' }])
await page.goto('/app/nodes')
await expect(page.locator('.attention-callout')).toContainText('approval', { timeout: 15_000 })
})
})
test.describe('Nodes roster panels', () => {
test('shows model chips without clicking and filters by type', async ({ page }) => {
await page.route('**/api/nodes', r => r.fulfill({ status: 200, contentType: 'application/json', body: JSON.stringify([
{ id: 'n1', name: 'alpha', node_type: 'backend', address: '10.0.0.1:50051', status: 'healthy' },
{ id: 'a1', name: 'agent-1', node_type: 'agent', address: '10.0.0.9:50051', status: 'healthy' },
]) }))
await page.route('**/api/nodes/models', r => r.fulfill({ status: 200, contentType: 'application/json', body: JSON.stringify([
{ node_id: 'n1', model_name: 'llama-3.3', state: 'loaded', in_flight: 2, replica_index: 0 },
]) }))
await page.route('**/api/nodes/scheduling', r => r.fulfill({ status: 200, contentType: 'application/json', body: '[]' }))
await page.goto('/app/nodes')
// model chip visible without any expand click
await expect(page.locator('.node-panel').filter({ hasText: 'alpha' }).getByText('llama-3.3')).toBeVisible({ timeout: 15_000 })
// segmented filter: Agent shows the agent node, hides the backend node
await page.getByRole('radio', { name: /Agent/ }).click()
await expect(page.getByText('agent-1')).toBeVisible()
await expect(page.getByText('alpha')).toHaveCount(0)
})
})

View File

@@ -21,6 +21,7 @@ const PAGES = [
['/app/backends', 'Backends'],
['/app/settings', 'Settings'],
['/app/nodes', 'Nodes'],
['/app/scheduling', 'Scheduling'],
['/app/face', 'Face recognition'],
['/app/voice', 'Voice recognition'],
['/app/fine-tune', 'Fine-tuning'],

View File

@@ -0,0 +1,16 @@
import { test, expect } from './coverage-fixtures.js'
test.describe('Scheduling page', () => {
test('renders at /app/scheduling with rules from the API', async ({ page }) => {
await page.route('**/api/nodes/scheduling', (route) => {
route.fulfill({
status: 200, contentType: 'application/json',
body: JSON.stringify([{ model_name: 'llama-3.3', spread_all: true, min_replicas: 0, max_replicas: 0 }]),
})
})
await page.goto('/app/scheduling')
await expect(page.locator('.page-title').first()).toBeVisible({ timeout: 15_000 })
await expect(page).toHaveURL(/\/app\/scheduling$/)
await expect(page.getByText('llama-3.3')).toBeVisible()
})
})

View File

@@ -43,6 +43,10 @@
"title": "Verteilte Knoten",
"subtitle": "Backend- und Agenten-Worker-Knoten verwalten"
},
"scheduling": {
"title": "Planung",
"subtitle": "Modellplatzierung und Replikat-Regeln im gesamten Cluster"
},
"p2p": {
"title": "Verteilte KI-Berechnung",
"subtitle": "Skalieren Sie Ihre KI-Workloads über mehrere Geräte mit Peer-to-Peer-Verteilung"

View File

@@ -50,6 +50,7 @@
"backends": "Backends",
"traces": "Traces",
"nodes": "Knoten",
"scheduling": "Planung",
"swarm": "Swarm",
"system": "System",
"settings": "Einstellungen",

View File

@@ -43,6 +43,10 @@
"title": "Distributed Nodes",
"subtitle": "Manage backend and agent worker nodes"
},
"scheduling": {
"title": "Scheduling",
"subtitle": "Model placement and replica rules across the cluster"
},
"p2p": {
"title": "Distributed AI Computing",
"subtitle": "Scale your AI workloads across multiple devices with peer-to-peer distribution"

View File

@@ -51,6 +51,7 @@
"backends": "Backends",
"traces": "Traces",
"nodes": "Nodes",
"scheduling": "Scheduling",
"swarm": "Swarm",
"system": "System",
"settings": "Settings",

View File

@@ -43,6 +43,10 @@
"title": "Nodos distribuidos",
"subtitle": "Administra nodos worker de backends y agentes"
},
"scheduling": {
"title": "Planificación",
"subtitle": "Reglas de ubicación de modelos y réplicas en el clúster"
},
"p2p": {
"title": "Computación de IA distribuida",
"subtitle": "Escala tus cargas de trabajo de IA en múltiples dispositivos con distribución peer-to-peer"

View File

@@ -50,6 +50,7 @@
"backends": "Backends",
"traces": "Trazas",
"nodes": "Nodos",
"scheduling": "Planificación",
"swarm": "Swarm",
"system": "Sistema",
"settings": "Configuración",

View File

@@ -43,6 +43,10 @@
"title": "Node Terdistribusi",
"subtitle": "Kelola node backend dan node worker"
},
"scheduling": {
"title": "Penjadwalan",
"subtitle": "Aturan penempatan model dan replika di seluruh klaster"
},
"p2p": {
"title": "Komputasi AI Terdistribusi",
"subtitle": "Skalakan beban kerja AI Anda ke beberapa perangkat dengan distribusi peer-to-peer"

View File

@@ -51,6 +51,7 @@
"backends": "Backend",
"traces": "Trace",
"nodes": "Node",
"scheduling": "Penjadwalan",
"swarm": "Swarm",
"system": "Sistem",
"settings": "Pengaturan",

View File

@@ -43,6 +43,10 @@
"title": "Nodi distribuiti",
"subtitle": "Gestisci i nodi worker dei backend e degli agenti"
},
"scheduling": {
"title": "Pianificazione",
"subtitle": "Regole di posizionamento dei modelli e delle repliche nel cluster"
},
"p2p": {
"title": "Calcolo AI distribuito",
"subtitle": "Scala i tuoi carichi di lavoro AI su più dispositivi con la distribuzione peer-to-peer"

View File

@@ -50,6 +50,7 @@
"backends": "Backend",
"traces": "Tracce",
"nodes": "Nodi",
"scheduling": "Pianificazione",
"swarm": "Swarm",
"system": "Sistema",
"settings": "Impostazioni",

View File

@@ -43,6 +43,10 @@
"title": "분산 노드",
"subtitle": "백엔드 및 에이전트 워커 노드를 관리합니다"
},
"scheduling": {
"title": "스케줄링",
"subtitle": "클러스터 전반의 모델 배치 및 복제본 규칙"
},
"p2p": {
"title": "분산 AI 컴퓨팅",
"subtitle": "피어 투 피어 분산으로 여러 기기에 걸쳐 AI 워크로드를 확장합니다"

View File

@@ -51,6 +51,7 @@
"backends": "백엔드",
"traces": "트레이스",
"nodes": "노드",
"scheduling": "스케줄링",
"swarm": "Swarm",
"system": "시스템",
"settings": "설정",

View File

@@ -43,6 +43,10 @@
"title": "分布式节点",
"subtitle": "管理后端和智能体工作节点"
},
"scheduling": {
"title": "调度",
"subtitle": "集群中的模型放置和副本规则"
},
"p2p": {
"title": "分布式 AI 计算",
"subtitle": "通过点对点分发将您的 AI 工作负载扩展到多个设备"

View File

@@ -50,6 +50,7 @@
"backends": "后端",
"traces": "追踪",
"nodes": "节点",
"scheduling": "调度",
"swarm": "Swarm",
"system": "系统",
"settings": "设置",

View File

@@ -8471,3 +8471,56 @@ select.input {
.status-pill--error .status-pill__dot { background: var(--color-error); }
.status-pill--info .status-pill__dot { background: var(--color-info); }
.status-pill--muted .status-pill__dot { background: var(--color-text-muted); }
/* Nodes: cluster pulse + attention callout (replaces the stat-card strip) */
.cluster-pulse {
font-size: var(--text-sm);
color: var(--color-text-muted);
margin: 0 0 var(--spacing-lg);
}
.cluster-pulse__strong { color: var(--color-text-primary); font-weight: 600; }
.attention-callout {
display: flex;
align-items: center;
justify-content: space-between;
gap: var(--spacing-md);
padding: var(--spacing-sm) var(--spacing-md);
border-radius: var(--radius-md);
margin-bottom: var(--spacing-lg);
font-size: var(--text-sm);
}
.attention-callout--warn {
background: var(--color-warning-light);
border: 1px solid var(--color-warning-border);
color: var(--color-text-primary);
}
.attention-callout--error {
background: var(--color-error-light);
border: 1px solid var(--color-error-border);
color: var(--color-text-primary);
}
/* Node roster panels (Nodes page) */
.node-roster { display: flex; flex-direction: column; gap: var(--spacing-sm); }
.node-panel {
background: var(--color-bg-secondary);
border: 1px solid var(--color-border-subtle);
border-radius: var(--radius-lg);
}
.node-panel__main { padding: var(--spacing-md) var(--spacing-lg); cursor: pointer; }
.node-panel:hover { border-color: var(--color-border); }
.node-panel__head { display: flex; align-items: flex-start; justify-content: space-between; gap: var(--spacing-md); }
.node-panel__id { display: flex; align-items: center; gap: var(--spacing-sm); flex-wrap: wrap; }
.node-panel__name { font-weight: 600; }
.node-panel__meta { display: flex; gap: var(--spacing-lg); margin-top: var(--spacing-sm); color: var(--color-text-muted); font-size: var(--text-xs); }
.node-panel__models { display: flex; flex-wrap: wrap; gap: 6px; margin-top: var(--spacing-sm); }
.model-chip {
display: inline-flex; align-items: center; gap: 5px;
font-family: var(--font-mono); font-size: 0.6875rem;
padding: 2px 8px; border-radius: var(--radius-sm); border: 1px solid;
}
.model-chip__dot { width: 6px; height: 6px; border-radius: 50%; }
.model-chip__state { opacity: 0.85; font-style: normal; }
.node-filter { margin-bottom: var(--spacing-lg); }
.node-detail__metrics { display: flex; gap: var(--spacing-xl); margin: var(--spacing-md) 0 var(--spacing-lg); flex-wrap: wrap; }

View File

@@ -74,7 +74,18 @@ export default function PatternListEditor({ value, onChange }) {
min={0}
value={r.min_len || 0}
title="Minimum match length (0 = no floor)"
onChange={e => update(i, { min_len: parseInt(e.target.value, 10) || 0 })}
// min={0} only constrains the spinner, not keyboard entry. Clamp a
// typed negative to 0 (a negative floor is meaningless and would
// disable the length filter). When we clamp, force the DOM value
// too: the resulting 0->0 state change is a no-op, so React's
// controlled input would otherwise keep displaying the rejected
// "-5" even though the saved value is 0.
onChange={e => {
const parsed = parseInt(e.target.value, 10)
const n = Math.max(0, parsed || 0)
if (parsed < 0) e.target.value = String(n)
update(i, { min_len: n })
}}
style={{ width: 80, fontSize: '0.8125rem' }}
aria-label="Minimum length"
/>

View File

@@ -59,6 +59,7 @@ export const operateConsole = {
titleKey: 'operate.cluster',
items: [
{ path: '/app/nodes', icon: 'fas fa-network-wired', labelKey: 'items.nodes', adminOnly: true, feature: 'distributed' },
{ path: '/app/scheduling', icon: 'fas fa-calendar-alt', labelKey: 'items.scheduling', adminOnly: true, feature: 'distributed' },
{ path: '/app/p2p', icon: 'fas fa-circle-nodes', labelKey: 'items.swarm', adminOnly: true },
],
},

View File

@@ -0,0 +1,31 @@
export default function AttentionCallout({ nodes, onApprove }) {
const pending = nodes.filter(n => n.status === 'pending')
const unhealthy = nodes.filter(n => n.status === 'unhealthy' || n.status === 'offline')
if (pending.length === 0 && unhealthy.length === 0) return null
if (pending.length > 0) {
const first = pending[0]
const extra = pending.length - 1
return (
<div className="attention-callout attention-callout--warn">
<span>
<i className="fas fa-exclamation-circle" />{' '}
<strong>{pending.length} node{pending.length > 1 ? 's' : ''} awaiting approval</strong>
{' - '}{first.name}{extra > 0 ? ` +${extra} more` : ''}
</span>
<button className="btn btn-primary btn-sm" onClick={() => onApprove(first.id)}>
<i className="fas fa-check" /> Approve {first.name}
</button>
</div>
)
}
return (
<div className="attention-callout attention-callout--error">
<span>
<i className="fas fa-exclamation-triangle" />{' '}
<strong>{unhealthy.length} node{unhealthy.length > 1 ? 's' : ''} unhealthy</strong>
{' - '}{unhealthy.map(n => n.name).slice(0, 3).join(', ')}
</span>
</div>
)
}

View File

@@ -0,0 +1,196 @@
import { useState, useEffect, useCallback } from 'react'
import { nodesApi } from '../../utils/api'
import LoadingSpinner from '../LoadingSpinner'
/**
* Inline editor for a node's per-model replica capacity.
*
* UX intent: discoverable affordance (pencil icon) that opens an inline
* input - never a modal for a single field. Source-of-truth note is shown
* inline so operators understand a worker re-registration will overwrite
* their override; surfacing this in a tooltip would hide too important a
* caveat.
*
* `confirmShrink` is a hook the parent provides so the page can render its
* own confirm dialog (it has access to all nodes and can phrase the message
* with full context).
*/
export default function CapacityEditor({ node, loadedModelCounts, onUpdate, confirmShrink, addToast }) {
const current = node.max_replicas_per_model || 1
const isOverride = !!node.max_replicas_per_model_manually_set
const [editing, setEditing] = useState(false)
const [draft, setDraft] = useState(String(current))
const [saving, setSaving] = useState(false)
const [resetting, setResetting] = useState(false)
// Reset draft when current value changes (server response, etc.)
useEffect(() => {
if (!editing) setDraft(String(current))
}, [current, editing])
const cancel = useCallback(() => {
setEditing(false)
setDraft(String(current))
}, [current])
const save = useCallback(async () => {
const value = parseInt(draft, 10)
if (!Number.isFinite(value) || value < 1) {
addToast('Replica capacity must be 1 or higher', 'error')
return
}
if (value === current) {
setEditing(false)
return
}
// Reducing the cap below current loaded replicas: confirm so the operator
// sees the consequence (running replicas keep going until idle eviction).
const maxLoadedAcrossModels = Math.max(0, ...Object.values(loadedModelCounts || {}))
if (value < maxLoadedAcrossModels) {
const proceed = await confirmShrink({ node, newValue: value, currentLoaded: maxLoadedAcrossModels })
if (!proceed) return
}
setSaving(true)
try {
await nodesApi.updateMaxReplicasPerModel(node.id, value)
addToast(`Replica capacity set to ${value} on ${node.name}`, 'success')
setEditing(false)
onUpdate?.(value)
} catch (err) {
addToast(`Could not change replica capacity: ${err.message || err}`, 'error')
} finally {
setSaving(false)
}
}, [draft, current, node, loadedModelCounts, confirmShrink, onUpdate, addToast])
const onKeyDown = (e) => {
if (e.key === 'Enter') { e.preventDefault(); save() }
else if (e.key === 'Escape') { e.preventDefault(); cancel() }
}
const reset = useCallback(async () => {
setResetting(true)
try {
await nodesApi.resetMaxReplicasPerModel(node.id)
addToast(`Override cleared on ${node.name}; worker flag will apply on next re-registration`, 'success')
onUpdate?.(null)
} catch (err) {
addToast(`Could not reset override: ${err.message || err}`, 'error')
} finally {
setResetting(false)
}
}, [node, onUpdate, addToast])
return (
<div style={{
display: 'flex', alignItems: 'flex-start', gap: 'var(--spacing-md)',
}}>
<i className="fas fa-layer-group" style={{ color: 'var(--color-text-muted)', marginTop: 3 }} aria-hidden="true" />
<div style={{ flex: 1, minWidth: 0 }}>
<div style={{ display: 'flex', alignItems: 'center', gap: 'var(--spacing-sm)', flexWrap: 'wrap' }}>
<label
htmlFor={`capacity-${node.id}`}
style={{ fontSize: '0.8125rem', fontWeight: 600, color: 'var(--color-text-primary)' }}
>
Max replicas per model
</label>
{editing ? (
<>
<input
id={`capacity-${node.id}`}
type="number"
min={1}
value={draft}
disabled={saving}
onChange={(e) => setDraft(e.target.value)}
onKeyDown={onKeyDown}
autoFocus
aria-describedby={`capacity-hint-${node.id}`}
style={{
width: 72, padding: '4px 8px', borderRadius: 'var(--radius-sm)',
border: '1px solid var(--color-border)', background: 'var(--color-bg-primary)',
fontFamily: 'var(--font-mono)', fontSize: '0.8125rem',
color: 'var(--color-text-primary)',
}}
/>
<button
className="btn btn-primary btn-sm"
onClick={save}
disabled={saving}
style={{ minHeight: 32 }}
aria-label="Save replica capacity"
>
{saving ? <LoadingSpinner size="xs" /> : <><i className="fas fa-check" /> Save</>}
</button>
<button
className="btn btn-secondary btn-sm"
onClick={cancel}
disabled={saving}
style={{ minHeight: 32 }}
aria-label="Cancel"
>
Cancel
</button>
</>
) : (
<>
<span
className="cell-mono"
style={{ fontSize: '0.8125rem', color: 'var(--color-text-secondary)' }}
>
{current}
</span>
{isOverride && (
<span
title="This value was set from the UI. It will persist across worker restarts until you click Reset."
style={{
display: 'inline-block', fontSize: '0.6875rem', padding: '1px 6px',
borderRadius: 'var(--radius-sm)', fontWeight: 500,
background: 'var(--color-bg-primary)',
border: '1px solid var(--color-warning, #d97706)',
color: 'var(--color-warning, #d97706)',
}}
>
override
</span>
)}
<button
onClick={() => setEditing(true)}
aria-label={`Edit replica capacity (currently ${current})`}
title="Change replica capacity for this node"
style={{
display: 'inline-flex', alignItems: 'center', justifyContent: 'center',
minWidth: 32, minHeight: 32, padding: 4, borderRadius: 'var(--radius-sm)',
border: '1px solid var(--color-border-subtle)',
background: 'transparent', color: 'var(--color-text-muted)', cursor: 'pointer',
}}
>
<i className="fas fa-pencil-alt" />
</button>
{isOverride && (
<button
onClick={reset}
disabled={resetting}
aria-label="Clear admin override and let the worker flag apply"
title="Clear override; the worker's --max-replicas-per-model flag will apply on the next re-registration"
className="btn btn-secondary btn-sm"
style={{ minHeight: 32 }}
>
{resetting ? <LoadingSpinner size="xs" /> : <><i className="fas fa-undo" /> Reset</>}
</button>
)}
</>
)}
</div>
<div
id={`capacity-hint-${node.id}`}
style={{ fontSize: '0.75rem', color: 'var(--color-text-muted)', marginTop: 4, lineHeight: 1.4 }}
>
{isOverride
? <>Set from here. <strong>Reset</strong> to use the worker's default.</>
: <>Saved values stick across worker restarts.</>}
</div>
</div>
</div>
)
}

View File

@@ -0,0 +1,18 @@
import { formatVRAM } from './nodeStatus'
export default function ClusterPulse({ nodes }) {
const total = nodes.length
const healthy = nodes.filter(n => n.status === 'healthy').length
const draining = nodes.filter(n => n.status === 'draining').length
const usedVRAM = nodes.reduce((s, n) =>
(n.total_vram && n.available_vram != null) ? s + (n.total_vram - n.available_vram) : s, 0)
const vramStr = formatVRAM(usedVRAM)
return (
<p className="cluster-pulse">
<span className="cluster-pulse__strong">{total} {total === 1 ? 'node' : 'nodes'}</span>
{' · '}<span style={{ color: 'var(--color-success)' }}>{healthy} healthy</span>
{draining > 0 && <>{' · '}<span style={{ color: 'var(--color-warning)' }}>{draining} draining</span></>}
{vramStr && <>{' · '}{vramStr} VRAM in use</>}
</p>
)
}

View File

@@ -0,0 +1,98 @@
import { useState } from 'react'
/**
* Controlled chip-builder for { key: value } maps. Replaces the prior
* comma-separated-string Node Selector input AND the bespoke Labels editor
* in the node drawer - both were rendering the same chip pattern with
* subtly different markup.
*
* Fully controlled: parent owns the map and decides what onAdd/onRemove
* does (form state for the scheduling form; API calls for the live
* labels editor). The component just renders chips and a key/value input
* row.
*
* Props:
* pairs - current map of key -> value
* onAdd(k,v) - called when the user adds a pair (parent handles dedup
* and persistence side effects)
* onRemove(k) - called when a chip's × is clicked
* placeholderKey, placeholderValue - input hints
* ariaLabel - accessible name for the section
*/
export default function KeyValueChips({ pairs, onAdd, onRemove, placeholderKey = 'key', placeholderValue = 'value', ariaLabel }) {
const [k, setK] = useState('')
const [v, setV] = useState('')
const add = () => {
const key = k.trim()
if (!key) return
onAdd(key, v.trim())
setK(''); setV('')
}
const onKeyDown = (e) => {
if (e.key === 'Enter') { e.preventDefault(); add() }
}
const entries = pairs ? Object.entries(pairs) : []
return (
<div aria-label={ariaLabel}>
{entries.length > 0 && (
<div style={{ display: 'flex', flexWrap: 'wrap', gap: 4, marginBottom: 'var(--spacing-xs)' }}>
{entries.map(([key, val]) => (
<span key={key} style={{
display: 'inline-flex', alignItems: 'center', gap: 4,
fontSize: '0.75rem', padding: '2px 8px',
borderRadius: 'var(--radius-sm)',
background: 'var(--color-bg-tertiary)',
border: '1px solid var(--color-border-subtle)',
fontFamily: 'var(--font-mono)',
}}>
{key}={val}
<button
type="button"
onClick={(e) => { e.stopPropagation(); onRemove(key) }}
aria-label={`Remove ${key}`}
title="Remove"
style={{
background: 'none', border: 'none', cursor: 'pointer',
color: 'var(--color-text-muted)', fontSize: '0.625rem', padding: 0,
}}
>
<i className="fas fa-times" />
</button>
</span>
))}
</div>
)}
<div style={{ display: 'flex', gap: 'var(--spacing-xs)', alignItems: 'stretch' }}>
<input
className="input"
type="text"
placeholder={placeholderKey}
value={k}
onChange={e => setK(e.target.value)}
onKeyDown={onKeyDown}
style={{ flex: 1 }}
/>
<input
className="input"
type="text"
placeholder={placeholderValue}
value={v}
onChange={e => setV(e.target.value)}
onKeyDown={onKeyDown}
style={{ flex: 1 }}
/>
<button
type="button"
className="btn btn-secondary btn-sm"
onClick={add}
disabled={!k.trim()}
style={{ minHeight: 36 }}
>
<i className="fas fa-plus" /> Add
</button>
</div>
</div>
)
}

View File

@@ -0,0 +1,12 @@
import { modelStateConfig } from './nodeStatus'
export default function ModelChip({ model }) {
const cfg = modelStateConfig[model.state] || modelStateConfig.idle
return (
<span className="model-chip" style={{ background: cfg.bg, color: cfg.color, borderColor: cfg.border }}>
<span className="model-chip__dot" style={{ background: cfg.color }} />
{model.model_name}
{model.state !== 'loaded' && <span className="model-chip__state"> {model.state}</span>}
</span>
)
}

View File

@@ -0,0 +1,60 @@
import { useNavigate } from 'react-router-dom'
import StatusPill from './StatusPill'
import ModelChip from './ModelChip'
import ActionMenu from '../ActionMenu'
import { formatVRAM } from './nodeStatus'
export default function NodePanel({ node, models = [], onApprove, onDrain, onResume, onRemove }) {
const navigate = useNavigate()
const isAgent = node.node_type === 'agent'
const open = () => navigate(`/app/nodes/${node.id}`)
const usedVRAM = node.total_vram && node.available_vram != null ? node.total_vram - node.available_vram : null
return (
<div className="node-panel">
<div className="node-panel__main" onClick={open} role="button" tabIndex={0}
onKeyDown={(e) => { if (e.key === 'Enter') open() }}>
<div className="node-panel__head">
<div className="node-panel__id">
<StatusPill status={node.status} />
<span className="node-panel__name">{node.name}</span>
<span className="cell-mono cell-muted">{node.address}</span>
</div>
<div className="node-panel__actions" onClick={(e) => e.stopPropagation()}>
{node.status === 'pending' && (
<button className="btn btn-primary btn-sm" onClick={() => onApprove(node.id)}>
<i className="fas fa-check" /> Approve
</button>
)}
<ActionMenu
ariaLabel={`Actions for ${node.name}`}
triggerLabel={`Actions for ${node.name}`}
items={[
{ key: 'resume', icon: 'fa-play', label: 'Resume', hidden: node.status !== 'draining', onClick: () => onResume(node.id) },
{ key: 'drain', icon: 'fa-pause', label: 'Drain', hidden: node.status === 'draining' || node.status === 'pending', onClick: () => onDrain(node.id) },
{ divider: true, hidden: node.status === 'pending' },
{ key: 'remove', icon: 'fa-trash', label: 'Remove from cluster', danger: true, onClick: () => onRemove(node) },
]}
/>
</div>
</div>
{!isAgent && (
<>
<div className="node-panel__meta">
{node.total_vram > 0 && (
<span className="cell-mono">VRAM {formatVRAM(usedVRAM) || '0'} / {formatVRAM(node.total_vram)}</span>
)}
<span className="cell-mono">{node.in_flight_count || 0} in-flight</span>
</div>
<div className="node-panel__models">
{models.length === 0
? <span className="cell-muted">No models loaded</span>
: models.map(m => <ModelChip key={`${m.model_name}-${m.replica_index ?? 0}`} model={m} />)}
</div>
</>
)}
</div>
</div>
)
}

View File

@@ -0,0 +1,11 @@
import { statusConfig } from './nodeStatus'
export default function StatusPill({ status }) {
const cfg = statusConfig[status] || statusConfig.unhealthy
return (
<span className="node-status" style={{ color: cfg.color }}>
<span className="node-status__dot" style={{ background: cfg.color }} />
{cfg.label}
</span>
)
}

View File

@@ -0,0 +1,34 @@
export const statusConfig = {
healthy: { color: 'var(--color-success)', label: 'Healthy' },
unhealthy: { color: 'var(--color-error)', label: 'Unhealthy' },
offline: { color: 'var(--color-error)', label: 'Offline' },
registering: { color: 'var(--color-primary)', label: 'Registering' },
draining: { color: 'var(--color-warning)', label: 'Draining' },
pending: { color: 'var(--color-warning)', label: 'Pending Approval' },
}
export const modelStateConfig = {
loaded: { bg: 'var(--color-success-light)', color: 'var(--color-success)', border: 'var(--color-success-border)' },
loading: { bg: 'var(--color-primary-light)', color: 'var(--color-primary)', border: 'var(--color-primary-border)' },
unloading: { bg: 'var(--color-warning-light)', color: 'var(--color-warning)', border: 'var(--color-warning-border)' },
idle: { bg: 'var(--color-bg-tertiary)', color: 'var(--color-text-muted)', border: 'var(--color-border-subtle)' },
}
export function formatVRAM(bytes) {
if (!bytes || bytes === 0) return null
const gb = bytes / (1024 * 1024 * 1024)
return gb >= 1 ? `${gb.toFixed(1)} GB` : `${(bytes / (1024 * 1024)).toFixed(0)} MB`
}
export function timeAgo(dateString) {
if (!dateString) return 'never'
const seconds = Math.floor((Date.now() - new Date(dateString).getTime()) / 1000)
if (seconds < 0) return 'just now'
if (seconds < 60) return `${seconds}s ago`
const minutes = Math.floor(seconds / 60)
if (minutes < 60) return `${minutes}m ago`
const hours = Math.floor(minutes / 60)
if (hours < 24) return `${hours}h ago`
const days = Math.floor(hours / 24)
return `${days}d ago`
}

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import { useState, useEffect, useCallback } from 'react'
import { useParams, useNavigate, useOutletContext } from 'react-router-dom'
import { nodesApi } from '../utils/api'
import PageHeader from '../components/PageHeader'
import LoadingSpinner from '../components/LoadingSpinner'
import ConfirmDialog from '../components/ConfirmDialog'
import StatusPill from '../components/nodes/StatusPill'
import CapacityEditor from '../components/nodes/CapacityEditor'
import KeyValueChips from '../components/nodes/KeyValueChips'
import { formatVRAM, modelStateConfig, timeAgo } from '../components/nodes/nodeStatus'
// Deep-linkable node management home. Reached by clicking a roster panel on
// /app/nodes. Surfaces what's running here plus the management affordances
// (capacity, backends, labels, drain/resume/remove) that previously lived in
// the expanded-row "Manage" drawer.
export default function NodeDetail() {
const { id } = useParams()
const navigate = useNavigate()
const { addToast } = useOutletContext()
const [node, setNode] = useState(null)
const [models, setModels] = useState([])
const [backends, setBackends] = useState([])
const [loading, setLoading] = useState(true)
const [confirmRemove, setConfirmRemove] = useState(false)
const [confirmUnload, setConfirmUnload] = useState(null)
const [confirmDeleteBackend, setConfirmDeleteBackend] = useState(null)
// Promise-based shrink confirmation: CapacityEditor awaits this hook so the
// page owns the dialog (it can phrase the message with full node context).
const [confirmShrinkState, setConfirmShrinkState] = useState(null)
const refresh = useCallback(async () => {
try {
const n = await nodesApi.get(id)
setNode(n)
const [m, b] = await Promise.all([nodesApi.getModels(id), nodesApi.getBackends(id)])
setModels(Array.isArray(m) ? m : [])
setBackends(Array.isArray(b) ? b : [])
} catch (err) {
addToast(`Failed to load node: ${err.message}`, 'error')
} finally {
setLoading(false)
}
}, [id, addToast])
useEffect(() => { refresh() }, [refresh])
const confirmShrink = useCallback((ctx) => new Promise((resolve) => {
setConfirmShrinkState({ ...ctx, resolve })
}), [])
if (loading) return <div className="page page--wide" style={{ display: 'flex', justifyContent: 'center', padding: 'var(--spacing-xl)' }}><LoadingSpinner size="lg" /></div>
if (!node) return <div className="page page--wide"><PageHeader title="Node not found" /></div>
const drain = async () => { try { await nodesApi.drain(id); addToast('Node set to draining', 'success'); refresh() } catch (e) { addToast(e.message, 'error') } }
const resume = async () => { try { await nodesApi.resume(id); addToast('Node resumed', 'success'); refresh() } catch (e) { addToast(e.message, 'error') } }
const remove = async () => { try { await nodesApi.delete(id); addToast('Node removed', 'success'); navigate('/app/nodes') } catch (e) { addToast(e.message, 'error') } }
const unload = async (name) => { try { await nodesApi.unloadModel(id, name); addToast(`Model "${name}" unloaded`, 'success'); refresh() } catch (e) { addToast(e.message, 'error') } }
const upgradeBackend = async (name) => { try { await nodesApi.installBackend(id, name); addToast(`Backend "${name}" upgraded`, 'success'); refresh() } catch (e) { addToast(e.message, 'error') } }
const deleteBackend = async (name) => { try { await nodesApi.deleteBackend(id, name); addToast(`Backend "${name}" deleted`, 'success'); refresh() } catch (e) { addToast(e.message, 'error') } }
const addLabel = async (k, v) => { try { await nodesApi.mergeLabels(id, { [k]: v }); refresh() } catch (e) { addToast(e.message, 'error') } }
const delLabel = async (k) => { try { await nodesApi.deleteLabel(id, k); refresh() } catch (e) { addToast(e.message, 'error') } }
const usedVRAM = node.total_vram && node.available_vram != null ? node.total_vram - node.available_vram : 0
// {modelName: replicaCount} of loaded models so the shrink confirm can warn
// if the new cap is below the actual count of any single model on this node.
const loadedModelCounts = (() => {
const counts = {}
models.forEach(m => { if (m.state === 'loaded') counts[m.model_name] = (counts[m.model_name] || 0) + 1 })
return counts
})()
return (
<div className="page page--wide">
<PageHeader
eyebrow={<a onClick={() => navigate('/app/nodes')} style={{ cursor: 'pointer', color: 'var(--color-primary)' }}><i className="fas fa-arrow-left" style={{ marginRight: 6 }} aria-hidden="true" />Cluster</a>}
title={<><StatusPill status={node.status} /> {node.name}</>}
supporting={node.address}
actions={
<>
{node.status === 'draining'
? <button className="btn btn-secondary btn-sm" onClick={resume}><i className="fas fa-play" /> Resume</button>
: <button className="btn btn-secondary btn-sm" onClick={drain}><i className="fas fa-pause" /> Drain</button>}
<button className="btn btn-danger btn-sm" onClick={() => setConfirmRemove(true)}><i className="fas fa-trash" /> Remove</button>
</>
}
/>
{/* Inline metrics row: VRAM / in-flight - no boxes, just labelled values. */}
<div className="node-detail__metrics">
{node.total_vram > 0 && (
<div>
<div className="drawer-eyebrow">VRAM</div>
<span className="cell-mono">{formatVRAM(usedVRAM) || '0'} / {formatVRAM(node.total_vram)}</span>
</div>
)}
<div>
<div className="drawer-eyebrow">In-flight</div>
<span className="cell-mono">{node.in_flight_count || 0}</span>
</div>
{node.node_type !== 'agent' && (
<div style={{ minWidth: 0 }}>
<div className="drawer-eyebrow">Capacity</div>
<CapacityEditor
node={node}
loadedModelCounts={loadedModelCounts}
confirmShrink={confirmShrink}
addToast={addToast}
onUpdate={() => refresh()}
/>
</div>
)}
</div>
{/* Running models */}
<div style={{ marginTop: 'var(--spacing-lg)' }}>
<div className="drawer-eyebrow">Running models</div>
{models.length === 0 ? (
<p style={{ fontSize: '0.8125rem', color: 'var(--color-text-muted)', margin: '0 0 var(--spacing-md) 0' }}>
<i className="fas fa-cube" style={{ marginRight: 6, opacity: 0.6 }} aria-hidden="true" />
No models loaded yet - they'll appear here when scheduled to this node.
</p>
) : (
<table className="table" style={{ margin: 0 }}>
<thead>
<tr>
<th>Model</th>
<th>State</th>
<th>In-Flight</th>
<th style={{ width: 40 }}>Logs</th>
<th style={{ textAlign: 'right' }}>Actions</th>
</tr>
</thead>
<tbody>
{(() => {
// Pre-compute per-model replica counts so the disambiguation
// pill only renders when this node actually hosts >1 replica
// of the same model. Single-replica deployments stay clean.
const replicaCounts = {}
models.forEach(m => { replicaCounts[m.model_name] = (replicaCounts[m.model_name] || 0) + 1 })
return models.map(m => {
const stCfg = modelStateConfig[m.state] || modelStateConfig.idle
const showReplica = (replicaCounts[m.model_name] || 0) > 1
// Per-replica process key - what the worker stores logs under and what the
// store's GetLines/Subscribe match on for replica-scoped filtering.
const processKey = `${m.model_name}#${m.replica_index ?? 0}`
return (
<tr key={m.id || `${m.model_name}#${m.replica_index ?? 0}`}>
<td style={{ fontFamily: 'var(--font-mono)', fontSize: '0.8125rem' }}>
{m.model_name}
{showReplica && (
<span
className="cell-mono"
aria-label={`replica ${m.replica_index ?? 0}`}
title={`Replica ${m.replica_index ?? 0} on this node`}
style={{
marginLeft: 8, padding: '1px 6px', borderRadius: 'var(--radius-sm)',
background: 'var(--color-bg-tertiary)',
border: '1px solid var(--color-border-subtle)',
fontSize: '0.6875rem', fontWeight: 500,
color: 'var(--color-text-secondary)',
}}
>
rep {m.replica_index ?? 0}
</span>
)}
</td>
<td>
<span style={{
display: 'inline-block', padding: '2px 8px', borderRadius: 'var(--radius-sm)',
fontSize: '0.75rem', fontWeight: 500,
background: stCfg.bg, color: stCfg.color, border: `1px solid ${stCfg.border}`,
}}>
{m.state}
</span>
</td>
<td style={{ fontFamily: 'var(--font-mono)', fontSize: '0.8125rem' }}>
{m.in_flight ?? 0}
</td>
<td>
<a
href="#"
onClick={(e) => {
e.preventDefault()
// Send the replica-scoped process key (modelName#replicaIndex).
navigate(`/app/node-backend-logs/${id}/${encodeURIComponent(processKey)}`)
}}
style={{ fontSize: '0.75rem', color: 'var(--color-primary)' }}
title={showReplica ? `View backend logs for replica ${m.replica_index ?? 0}` : 'View backend logs'}
>
<i className="fas fa-terminal" />
</a>
</td>
<td style={{ textAlign: 'right' }}>
<button
className="btn btn-danger btn-sm"
title={m.in_flight > 0 ? 'Unload model (has in-flight requests)' : 'Unload model'}
onClick={() => setConfirmUnload({ modelName: m.model_name, inFlight: m.in_flight ?? 0 })}
>
<i className="fas fa-stop" />
</button>
</td>
</tr>
)
})
})()}
</tbody>
</table>
)}
</div>
{/* Installed backends */}
<div style={{ marginTop: 'var(--spacing-lg)' }}>
<div style={{
display: 'flex', alignItems: 'center', justifyContent: 'space-between',
marginBottom: 'var(--spacing-sm)',
}}>
<div className="drawer-eyebrow" style={{ margin: 0 }}>Installed backends</div>
<button
type="button"
className="btn btn-secondary btn-sm"
onClick={() => navigate(`/app/backends?target=${encodeURIComponent(id)}`)}
title={`Install a backend on ${node.name}`}
>
<i className="fas fa-plus" /> Add backend
</button>
</div>
{backends.length === 0 ? (
<p style={{ fontSize: '0.8125rem', color: 'var(--color-text-muted)', margin: 0 }}>
None installed. <a href="#" style={{ color: 'var(--color-primary)' }} onClick={(e) => { e.preventDefault(); navigate(`/app/backends?target=${encodeURIComponent(id)}`) }}>Install one from the gallery</a> to schedule models here.
</p>
) : (
<table className="table" style={{ margin: 0 }}>
<thead>
<tr>
<th>Name</th>
<th>Type</th>
<th>Installed At</th>
<th style={{ textAlign: 'right' }}>Actions</th>
</tr>
</thead>
<tbody>
{backends.map(b => (
<tr key={b.name}>
<td style={{ fontFamily: 'var(--font-mono)', fontSize: '0.8125rem' }}>
{b.name}
</td>
<td>
<span style={{
display: 'inline-block', padding: '2px 8px', borderRadius: 'var(--radius-sm)',
fontSize: '0.75rem', fontWeight: 500,
background: b.is_system ? 'var(--color-bg-tertiary)' : 'var(--color-primary-light)',
color: b.is_system ? 'var(--color-text-muted)' : 'var(--color-primary)',
border: `1px solid ${b.is_system ? 'var(--color-border-subtle)' : 'var(--color-primary-border)'}`,
}}>
{b.is_system ? 'system' : 'gallery'}
</span>
</td>
<td style={{ fontSize: '0.8125rem', color: 'var(--color-text-muted)' }}>
{b.installed_at ? timeAgo(b.installed_at) : '-'}
</td>
<td style={{ textAlign: 'right' }}>
{!b.is_system && (
<div style={{ display: 'inline-flex', gap: 'var(--spacing-xs)' }}>
<button
className="btn btn-secondary btn-sm"
onClick={() => upgradeBackend(b.name)}
title="Upgrade backend on this node"
>
<i className="fas fa-arrow-up" />
</button>
<button
className="btn btn-danger-ghost btn-sm"
onClick={() => setConfirmDeleteBackend({ backend: b.name })}
title="Delete backend from this node"
>
<i className="fas fa-trash" />
</button>
</div>
)}
</td>
</tr>
))}
</tbody>
</table>
)}
</div>
{/* Labels - node.replica-slots is filtered out so the Capacity editor
stays the single source of truth for that label. */}
<div style={{ marginTop: 'var(--spacing-lg)' }}>
<div className="drawer-eyebrow">Labels</div>
<KeyValueChips
pairs={Object.fromEntries(Object.entries(node.labels || {}).filter(([k]) => k !== 'node.replica-slots'))}
onAdd={addLabel}
onRemove={delLabel}
placeholderKey="key"
placeholderValue="value"
ariaLabel="Node labels"
/>
</div>
<ConfirmDialog
open={confirmRemove}
title="Remove node"
message={`Remove "${node.name}" from the cluster? This will deregister it.`}
confirmLabel="Remove"
danger
onConfirm={() => { remove(); setConfirmRemove(false) }}
onCancel={() => setConfirmRemove(false)}
/>
<ConfirmDialog
open={!!confirmUnload}
title="Unload Model"
message={
confirmUnload
? confirmUnload.inFlight > 0
? `"${confirmUnload.modelName}" currently has ${confirmUnload.inFlight} in-flight request(s). Unloading will interrupt them. Continue?`
: `Unload "${confirmUnload.modelName}" from ${node.name}?`
: ''
}
confirmLabel="Unload"
danger={confirmUnload?.inFlight > 0}
onConfirm={() => { if (confirmUnload) unload(confirmUnload.modelName); setConfirmUnload(null) }}
onCancel={() => setConfirmUnload(null)}
/>
<ConfirmDialog
open={!!confirmDeleteBackend}
title="Delete Backend"
message={confirmDeleteBackend ? `Delete "${confirmDeleteBackend.backend}" from ${node.name}? This removes the backend files from this node only.` : ''}
confirmLabel="Delete"
danger
onConfirm={() => { if (confirmDeleteBackend) deleteBackend(confirmDeleteBackend.backend); setConfirmDeleteBackend(null) }}
onCancel={() => setConfirmDeleteBackend(null)}
/>
<ConfirmDialog
open={!!confirmShrinkState}
title="Reduce replica capacity"
message={
confirmShrinkState
? `${node.name} currently has ${confirmShrinkState.currentLoaded} replica(s) of at least one model loaded. Reducing the cap to ${confirmShrinkState.newValue} won't evict anything immediately - running replicas keep going, but the reconciler will trim down on the next idle window. Continue?`
: ''
}
confirmLabel="Reduce"
onConfirm={() => { confirmShrinkState?.resolve(true); setConfirmShrinkState(null) }}
onCancel={() => { confirmShrinkState?.resolve(false); setConfirmShrinkState(null) }}
/>
</div>
)
}

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import { useState, useEffect, useCallback } from 'react'
import { useOutletContext } from 'react-router-dom'
import { useTranslation } from 'react-i18next'
import { nodesApi } from '../utils/api'
import PageHeader from '../components/PageHeader'
import ConfirmDialog from '../components/ConfirmDialog'
import ResponsiveTable from '../components/ResponsiveTable'
import SearchableModelSelect from '../components/SearchableModelSelect'
import KeyValueChips from '../components/nodes/KeyValueChips'
// Numeric input with quick-pick preset chips. Picked over a slider because
// replica counts are exact specs (operator math), not fuzzy estimates. The
// chips give one-click access to common values without the slider's
// precision/special-value problems (e.g. MaxReplicas=0 = "no limit").
function ReplicaInput({ id, label, value, onChange, presets }) {
return (
<div style={{ flex: 1 }}>
<label className="form-label" htmlFor={id}>{label}</label>
<input
id={id}
className="input"
type="number"
min={0}
value={value}
onChange={e => onChange(parseInt(e.target.value) || 0)}
/>
<div style={{ display: 'flex', gap: 4, flexWrap: 'wrap', marginTop: 6 }}>
{presets.map(({ v, l }) => {
const active = value === v
return (
<button
key={v}
type="button"
onClick={() => onChange(v)}
aria-pressed={active}
className="cell-mono"
style={{
padding: '2px 8px',
borderRadius: 'var(--radius-sm)',
fontSize: '0.6875rem',
fontWeight: 500,
cursor: 'pointer',
background: active ? 'var(--color-primary-light)' : 'transparent',
border: `1px solid ${active ? 'var(--color-primary-border)' : 'var(--color-border-subtle)'}`,
color: active ? 'var(--color-primary)' : 'var(--color-text-muted)',
}}
>{l || v}</button>
)
})}
</div>
</div>
)
}
function SchedulingForm({ onSave, onCancel }) {
const [mode, setMode] = useState('placement')
const [modelName, setModelName] = useState('')
// Selector is now a chip-builder map instead of a comma-separated string.
// Operators were copying syntax from docs and missing commas; the chip UI
// makes the key=value structure self-documenting.
const [selector, setSelector] = useState({})
const [minReplicas, setMinReplicas] = useState(1)
const [maxReplicas, setMaxReplicas] = useState(0)
// Prefix-cache routing controls. Empty routePolicy means "inherit the
// cluster default"; the three thresholds at 0 likewise inherit, so they
// stay out of the POST body's effective override only when explicitly set.
const [routePolicy, setRoutePolicy] = useState('')
const [balanceAbsThreshold, setBalanceAbsThreshold] = useState(0)
const [balanceRelThreshold, setBalanceRelThreshold] = useState(0)
const [minPrefixMatch, setMinPrefixMatch] = useState(0)
const hasSelector = Object.keys(selector).length > 0
const isValid = () => {
if (!modelName) return false
if (mode === 'placement') return hasSelector
if (mode === 'spread') return true
return minReplicas > 0 || maxReplicas > 0
}
const handleSubmit = () => {
onSave({
model_name: modelName,
node_selector: hasSelector ? selector : undefined,
min_replicas: mode === 'autoscaling' ? minReplicas : 0,
max_replicas: mode === 'autoscaling' ? maxReplicas : 0,
spread_all: mode === 'spread',
route_policy: routePolicy,
balance_abs_threshold: balanceAbsThreshold,
balance_rel_threshold: balanceRelThreshold,
min_prefix_match: minPrefixMatch,
})
}
return (
<div className="card" style={{ padding: 'var(--spacing-lg)', marginBottom: 'var(--spacing-md)' }}>
{/* Mode selector — uses the project's segmented control instead of two
50%-width filled buttons that competed visually with the actual
primary action (Save). */}
<div role="radiogroup" aria-label="Scheduling mode" className="segmented" style={{ marginBottom: 'var(--spacing-xs)' }}>
<button
type="button" role="radio" aria-checked={mode === 'placement'}
className={`segmented__item${mode === 'placement' ? ' is-active' : ''}`}
onClick={() => setMode('placement')}
>
<i className="fas fa-thumbtack" aria-hidden="true" /> Pin to nodes
</button>
<button
type="button" role="radio" aria-checked={mode === 'autoscaling'}
className={`segmented__item${mode === 'autoscaling' ? ' is-active' : ''}`}
onClick={() => setMode('autoscaling')}
>
<i className="fas fa-arrows-up-down" aria-hidden="true" /> Auto-scale
</button>
<button
type="button" role="radio" aria-checked={mode === 'spread'}
className={`segmented__item${mode === 'spread' ? ' is-active' : ''}`}
onClick={() => setMode('spread')}
>
<i className="fas fa-network-wired" aria-hidden="true" /> Spread to all
</button>
</div>
<p style={{ fontSize: '0.8125rem', color: 'var(--color-text-muted)', margin: '0 0 var(--spacing-lg) 0' }}>
{mode === 'placement'
? 'Restrict this model to specific nodes. Loaded on demand, evictable when idle.'
: mode === 'spread'
? 'Run one replica on every node matching the selector (all healthy nodes when empty). Tracks nodes joining and leaving.'
: 'Maintain a target replica count across the cluster. Min ≥ 1 protects from eviction.'}
</p>
{/* Linear vertical flow — model picker is the visual focus, then the
mode-specific fields below. No 2-column grid (the mismatched widths
made the form look raw). */}
<div style={{ display: 'flex', flexDirection: 'column', gap: 'var(--spacing-md)' }}>
<div>
<label className="form-label" htmlFor="sched-model">Model</label>
{/* Searchable combobox so a long gallery doesn't force the operator
to scroll through hundreds of entries. Free-text is allowed —
you can pre-create a rule for a model that hasn't been
installed yet, which is a real workflow when standing up a new
node and pre-staging its scheduling policy. */}
<SearchableModelSelect
value={modelName}
onChange={setModelName}
placeholder="Type to search models, or paste a name..."
/>
</div>
<div>
<label className="form-label">
Node selector{mode === 'placement' ? '' : ' (optional)'}
</label>
<KeyValueChips
pairs={selector}
onAdd={(k, v) => setSelector(prev => ({ ...prev, [k]: v }))}
onRemove={(k) => setSelector(prev => { const n = { ...prev }; delete n[k]; return n })}
placeholderKey="key (e.g. gpu.vendor)"
placeholderValue="value (e.g. nvidia)"
ariaLabel="Node selector"
/>
<span style={{ fontSize: '0.75rem', color: 'var(--color-text-muted)', display: 'block', marginTop: 6 }}>
{mode === 'placement'
? 'Models will load only on nodes that match all listed labels.'
: (hasSelector ? 'Replicas land only on matching nodes.' : 'Empty = any healthy node.')}
</span>
</div>
{mode === 'autoscaling' && (
<div style={{ display: 'flex', gap: 'var(--spacing-md)' }}>
<ReplicaInput
id="sched-min"
label="Min replicas"
value={minReplicas}
onChange={setMinReplicas}
presets={[{ v: 1 }, { v: 2 }, { v: 3 }, { v: 4 }]}
/>
<ReplicaInput
id="sched-max"
label="Max replicas"
value={maxReplicas}
onChange={setMaxReplicas}
presets={[{ v: 0, l: 'no limit' }, { v: 2 }, { v: 4 }, { v: 8 }]}
/>
</div>
)}
{/* Per-model routing policy. Left empty/zero these inherit the
cluster-wide defaults; set them to override how requests for this
model are spread across replicas. */}
<div>
<label className="form-label" htmlFor="sched-route-policy">Routing policy</label>
<select
id="sched-route-policy"
className="input"
value={routePolicy}
onChange={e => setRoutePolicy(e.target.value)}
>
<option value="">Default (cluster setting)</option>
<option value="round_robin">Round Robin</option>
<option value="prefix_cache">Prefix Cache</option>
</select>
<span style={{ fontSize: '0.75rem', color: 'var(--color-text-muted)', display: 'block', marginTop: 6 }}>
Prefix Cache routes shared-prefix requests to the same replica to reuse its KV cache, falling back to round-robin when replicas are imbalanced.
</span>
</div>
{routePolicy === 'prefix_cache' && (
<div style={{ display: 'flex', gap: 'var(--spacing-md)' }}>
<div style={{ flex: 1 }}>
<label className="form-label" htmlFor="sched-min-prefix-match">Min prefix match</label>
<input
id="sched-min-prefix-match"
className="input"
type="number"
step="0.05"
min="0"
max="1"
value={minPrefixMatch}
onChange={e => setMinPrefixMatch(parseFloat(e.target.value) || 0)}
/>
<span style={{ fontSize: '0.75rem', color: 'var(--color-text-muted)', display: 'block', marginTop: 6 }}>
Fraction of the prompt (0..1) that must match a cached prefix before affinity kicks in. 0 inherits the default.
</span>
</div>
<div style={{ flex: 1 }}>
<label className="form-label" htmlFor="sched-balance-abs">Balance abs threshold</label>
<input
id="sched-balance-abs"
className="input"
type="number"
min="0"
value={balanceAbsThreshold}
onChange={e => setBalanceAbsThreshold(parseInt(e.target.value) || 0)}
/>
<span style={{ fontSize: '0.75rem', color: 'var(--color-text-muted)', display: 'block', marginTop: 6 }}>
Max absolute in-flight gap allowed before falling back to round-robin. 0 inherits the default.
</span>
</div>
<div style={{ flex: 1 }}>
<label className="form-label" htmlFor="sched-balance-rel">Balance rel threshold</label>
<input
id="sched-balance-rel"
className="input"
type="number"
step="0.1"
min="0"
value={balanceRelThreshold}
onChange={e => setBalanceRelThreshold(parseFloat(e.target.value) || 0)}
/>
<span style={{ fontSize: '0.75rem', color: 'var(--color-text-muted)', display: 'block', marginTop: 6 }}>
Max relative in-flight ratio (&gt;= 1) allowed before falling back to round-robin. 0 inherits the default.
</span>
</div>
</div>
)}
</div>
{/* Hairline divider above the actions, matching the project's form pattern. */}
<div style={{
display: 'flex', gap: 'var(--spacing-sm)', justifyContent: 'flex-end',
marginTop: 'var(--spacing-lg)', paddingTop: 'var(--spacing-md)',
borderTop: '1px solid var(--color-border-subtle)',
}}>
<button className="btn btn-secondary btn-sm" onClick={onCancel}>Cancel</button>
<button className="btn btn-primary btn-sm" onClick={handleSubmit} disabled={!isValid()}>Save rule</button>
</div>
</div>
)
}
export default function Scheduling() {
const { addToast } = useOutletContext()
const { t } = useTranslation('admin')
const [schedulingConfigs, setSchedulingConfigs] = useState([])
const [showForm, setShowForm] = useState(false)
const [confirmDelete, setConfirmDelete] = useState(null)
const fetchScheduling = useCallback(async () => {
try {
const data = await nodesApi.listScheduling()
setSchedulingConfigs(Array.isArray(data) ? data : [])
} catch { setSchedulingConfigs([]) }
}, [])
useEffect(() => { fetchScheduling() }, [fetchScheduling])
const handleSave = async (config) => {
try {
await nodesApi.setScheduling(config)
addToast('Scheduling rule saved', 'success')
setShowForm(false)
fetchScheduling()
} catch (err) { addToast(`Failed to save rule: ${err.message}`, 'error') }
}
const handleDelete = async (model) => {
try {
await nodesApi.deleteScheduling(model)
addToast('Scheduling rule removed', 'success')
setConfirmDelete(null)
fetchScheduling()
} catch (err) { addToast(`Failed to remove rule: ${err.message}`, 'error') }
}
return (
<div className="page page--wide">
<PageHeader
title={<><i className="fas fa-calendar-alt" style={{ marginRight: 'var(--spacing-sm)' }} />{t('scheduling.title')}</>}
supporting={t('scheduling.subtitle')}
/>
<div>
<button className="btn btn-primary btn-sm" style={{ marginBottom: 'var(--spacing-md)' }}
onClick={() => setShowForm(f => !f)}>
<i className="fas fa-plus" style={{ marginRight: 6 }} />
Add Scheduling Rule
</button>
{showForm && <SchedulingForm onSave={handleSave} onCancel={() => setShowForm(false)} />}
{schedulingConfigs.length === 0 && !showForm ? (
<p style={{ fontSize: '0.875rem', color: 'var(--color-text-muted)', textAlign: 'center', padding: 'var(--spacing-xl) 0' }}>
No scheduling rules configured. Add a rule to control how models are placed on nodes.
</p>
) : schedulingConfigs.length > 0 && (
<ResponsiveTable>
<thead><tr>
<th>Model</th>
<th>Mode</th>
<th>Node Selector</th>
<th>Min Replicas</th>
<th>Max Replicas</th>
<th>Routing</th>
<th>Thresholds</th>
<th>Status</th>
<th style={{ textAlign: 'right' }}>Actions</th>
</tr></thead>
<tbody>
{schedulingConfigs.map(cfg => {
const isSpread = !!cfg.spread_all
const isAutoScaling = !isSpread && (cfg.min_replicas > 0 || cfg.max_replicas > 0)
const hasSelector = !!cfg.node_selector
const modeLabel = isSpread ? 'Spread' : isAutoScaling ? 'Auto-scaling' : hasSelector ? 'Placement' : 'Inactive'
const modeColor = isSpread ? 'var(--color-warning)' : isAutoScaling ? 'var(--color-success)' : hasSelector ? 'var(--color-primary)' : 'var(--color-text-muted)'
// Cooldown: reconciler tripped the circuit breaker because cluster
// capacity is exhausted. Surface so the operator sees it instead
// of the model silently failing to scale.
const unsatisfiableUntil = cfg.unsatisfiable_until ? new Date(cfg.unsatisfiable_until) : null
const isUnsatisfiable = unsatisfiableUntil && unsatisfiableUntil.getTime() > Date.now()
return (
<tr key={cfg.id || cfg.model_name}>
<td style={{ fontWeight: 600, fontSize: '0.875rem' }}>{cfg.model_name}</td>
<td>
<span style={{
display: 'inline-block', fontSize: '0.75rem', padding: '2px 8px', borderRadius: "var(--radius-sm)",
background: 'var(--color-bg-tertiary)', border: `1px solid ${modeColor}`,
color: modeColor, fontWeight: 600,
}}>{modeLabel}</span>
</td>
<td>
{cfg.node_selector ? (() => {
try {
const sel = typeof cfg.node_selector === 'string' ? JSON.parse(cfg.node_selector) : cfg.node_selector
return Object.entries(sel).map(([k,v]) => (
<span key={k} style={{
display: 'inline-block', fontSize: '0.75rem', padding: '2px 6px', borderRadius: "var(--radius-sm)",
background: 'var(--color-bg-tertiary)', border: '1px solid var(--color-border-subtle)',
fontFamily: 'var(--font-mono)', marginRight: 4,
}}>{k}={v}</span>
))
} catch { return <span style={{ color: 'var(--color-text-muted)', fontSize: '0.8125rem' }}>{cfg.node_selector}</span> }
})() : <span style={{ color: 'var(--color-text-muted)', fontSize: '0.8125rem' }}>Any node</span>}
</td>
<td style={{ fontFamily: 'var(--font-mono)' }}>
{isSpread
? <span style={{
display: 'inline-block', fontSize: '0.75rem', padding: '2px 8px', borderRadius: "var(--radius-sm)",
background: 'var(--color-bg-tertiary)', border: '1px solid var(--color-warning)',
color: 'var(--color-warning)', fontWeight: 600, fontFamily: 'var(--font-sans)',
}}>Spread: all matching nodes</span>
: isAutoScaling ? cfg.min_replicas : '-'}
</td>
<td style={{ fontFamily: 'var(--font-mono)' }}>
{isSpread ? '-' : isAutoScaling ? (cfg.max_replicas || 'no limit') : '-'}
</td>
<td style={{ fontSize: '0.8125rem' }}>
{cfg.route_policy || 'default'}
</td>
<td style={{ fontFamily: 'var(--font-mono)', fontSize: '0.75rem', color: 'var(--color-text-muted)' }}>
{cfg.route_policy === 'prefix_cache' ? (
<>
<div>match: {cfg.min_prefix_match ? cfg.min_prefix_match : 'inherit'}</div>
<div>abs: {cfg.balance_abs_threshold ? cfg.balance_abs_threshold : 'inherit'}</div>
<div>rel: {cfg.balance_rel_threshold ? cfg.balance_rel_threshold : 'inherit'}</div>
</>
) : '-'}
</td>
<td>
{isUnsatisfiable ? (
<span
title={`Reconciler couldn't satisfy this rule (capacity exhausted). Will retry by ${unsatisfiableUntil.toLocaleString()}, or sooner on a node lifecycle change.`}
style={{
display: 'inline-block', fontSize: '0.75rem', padding: '2px 8px',
borderRadius: 'var(--radius-sm)', fontWeight: 600,
background: 'var(--color-bg-tertiary)',
border: '1px solid var(--color-warning, #d97706)',
color: 'var(--color-warning, #d97706)',
}}
>
<i className="fas fa-exclamation-triangle" style={{ marginRight: 4 }} />
Unsatisfiable until {unsatisfiableUntil.toLocaleTimeString([], { hour: '2-digit', minute: '2-digit' })}
</span>
) : (
<span style={{ fontSize: '0.8125rem', color: 'var(--color-text-muted)' }}>OK</span>
)}
</td>
<td style={{ textAlign: 'right' }}>
<button className="btn btn-danger btn-sm" onClick={() => setConfirmDelete(cfg.model_name)}>
<i className="fas fa-trash" />
</button>
</td>
</tr>
)
})}
</tbody>
</ResponsiveTable>
)}
</div>
<ConfirmDialog
open={!!confirmDelete}
title="Remove scheduling rule"
message={confirmDelete ? `Remove the scheduling rule for "${confirmDelete}"?` : ''}
confirmLabel="Remove"
danger
onConfirm={() => confirmDelete && handleDelete(confirmDelete)}
onCancel={() => setConfirmDelete(null)}
/>
</div>
)
}

View File

@@ -69,7 +69,9 @@ const Studio = page('studio', () => import('./pages/Studio'))
const FaceRecognition = page('face', () => import('./pages/FaceRecognition'))
const VoiceRecognition = page('voice', () => import('./pages/VoiceRecognition'))
const Nodes = page('nodes', () => import('./pages/Nodes'))
const Scheduling = page('scheduling', () => import('./pages/Scheduling'))
const NodeBackendLogs = page(null, () => import('./pages/NodeBackendLogs'))
const NodeDetail = page(null, () => import('./pages/NodeDetail'))
const NotFound = page(null, () => import('./pages/NotFound'))
const Usage = page('usage', () => import('./pages/Usage'))
const Users = page('users', () => import('./pages/Users'))
@@ -152,6 +154,8 @@ const appChildren = [
{ path: 'backend-logs/:modelId', element: <Admin><BackendLogs /></Admin> },
{ path: 'p2p', element: <Admin><P2P /></Admin> },
{ path: 'nodes', element: <Admin><Nodes /></Admin> },
{ path: 'nodes/:id', element: <Admin><NodeDetail /></Admin> },
{ path: 'scheduling', element: <Admin><Scheduling /></Admin> },
{ path: 'node-backend-logs/:nodeId/:modelId', element: <Admin><NodeBackendLogs /></Admin> },
{ path: 'usage', element: <Usage /> },
{ path: 'users', element: <RequireAuthEnabled><Admin><Users /></Admin></RequireAuthEnabled> },

View File

@@ -568,6 +568,7 @@ export const nodesApi = {
method: 'DELETE',
}),
listScheduling: () => fetchJSON(API_CONFIG.endpoints.nodesScheduling),
allModels: () => fetchJSON(API_CONFIG.endpoints.nodesModels),
setScheduling: (config) => postJSON(API_CONFIG.endpoints.nodesScheduling, config),
deleteScheduling: (model) => fetchJSON(API_CONFIG.endpoints.nodesSchedulingModel(model), { method: 'DELETE' }),
}

View File

@@ -144,6 +144,7 @@ export const API_CONFIG = {
nodeLabelKey: (id, key) => `/api/nodes/${id}/labels/${key}`,
nodeMaxReplicasPerModel: (id) => `/api/nodes/${id}/max-replicas-per-model`,
nodesScheduling: '/api/nodes/scheduling',
nodesModels: '/api/nodes/models',
nodesSchedulingModel: (model) => `/api/nodes/scheduling/${encodeURIComponent(model)}`,
},
}

View File

@@ -71,6 +71,9 @@ func RegisterNodeAdminRoutes(e *echo.Echo, registry *nodes.NodeRegistry, unloade
admin := e.Group("/api/nodes", readyMw, adminMw)
admin.GET("", localai.ListNodesEndpoint(registry))
// Cluster-wide loaded models (registered before /:id to avoid route conflicts)
admin.GET("/models", localai.ListAllNodeModelsEndpoint(registry))
// Model scheduling (registered before /:id to avoid route conflicts)
admin.GET("/scheduling", localai.ListSchedulingEndpoint(registry))
admin.GET("/scheduling/:model", localai.GetSchedulingEndpoint(registry))

View File

@@ -64,6 +64,22 @@ func SubjectGalleryProgress(opID string) string {
return subjectGalleryPrefix + sanitizeSubjectToken(opID) + ".progress"
}
// SubjectStagingProgress returns the NATS subject a frontend replica publishes
// file-staging progress on. Staging progress is otherwise per-process state
// (the SmartRouter's in-memory StagingTracker), so without this broadcast a
// /api/operations poll that round-robins onto a replica that did not originate
// the staging op sees nothing - the progress row flickers in multi-replica
// deployments. Peers subscribe to the wildcard and merge.
func SubjectStagingProgress(modelID string) string {
return subjectStagingPrefix + sanitizeSubjectToken(modelID) + ".progress"
}
const subjectStagingPrefix = "staging."
// SubjectStagingProgressWildcard matches every replica's staging-progress
// broadcasts so a peer can mirror staging ops it did not originate.
const SubjectStagingProgressWildcard = "staging.*.progress"
// SubjectGalleryOpStart and SubjectGalleryOpEnd are broadcast subjects for the
// in-memory OpCache lifecycle. Frontend replicas publish to these when an
// admin admits a new install/delete (Start) and when an operation is

View File

@@ -359,8 +359,21 @@ func (r *SmartRouter) Route(ctx context.Context, modelID, modelName, backendType
}
}
// Step 2: Model not loaded — schedule loading with distributed lock to prevent duplicates
loadModel := func() (*RouteResult, error) {
// Step 2: Model not loaded — schedule loading with distributed lock to prevent duplicates.
//
// Detach the cold-load from the caller's context. Staging a model can
// transfer multiple GB to a worker, which takes far longer than any client
// keeps its HTTP request open — a browser refresh, an ingress/LB idle
// timeout, or a round-robined retry landing on another replica all cancel
// the request context. If staging were bound to it, the multi-GB upload
// aborts with "context canceled" mid-transfer and large models can never
// finish staging (the model-load outage). WithoutCancel keeps the request's
// values (prefix chain, etc.) but drops its cancellation/deadline. Each
// long step still has its own bound (the file stager's resume budget,
// LoadModel's 5m timeout), and the per-model advisory lock below de-dupes
// concurrent loaders across replicas.
loadCtx := context.WithoutCancel(ctx)
loadModel := func(ctx context.Context) (*RouteResult, error) {
// Re-check after acquiring lock — another request may have loaded it
node, nm, err := r.registry.FindAndLockNodeWithModel(ctx, trackingKey, candidateNodeIDs, pref)
if err == nil && node != nil {
@@ -433,9 +446,9 @@ func (r *SmartRouter) Route(ctx context.Context, modelID, modelName, backendType
if r.db != nil {
lockKey := advisorylock.KeyFromString("model-load:" + trackingKey)
var result *RouteResult
lockErr := advisorylock.WithLockCtx(ctx, r.db, lockKey, func() error {
lockErr := advisorylock.WithLockCtx(loadCtx, r.db, lockKey, func() error {
var err error
result, err = loadModel()
result, err = loadModel(loadCtx)
return err
})
if lockErr != nil {
@@ -444,7 +457,7 @@ func (r *SmartRouter) Route(ctx context.Context, modelID, modelName, backendType
return result, nil
}
// No DB (non-distributed) — proceed without lock
return loadModel()
return loadModel(loadCtx)
}
// parseSelectorJSON decodes a JSON node selector string into a map.

View File

@@ -0,0 +1,80 @@
package nodes
import (
"context"
"errors"
"os"
"path/filepath"
. "github.com/onsi/ginkgo/v2"
. "github.com/onsi/gomega"
"github.com/mudler/LocalAI/core/services/messaging"
pb "github.com/mudler/LocalAI/pkg/grpc/proto"
)
// cancelOnStageStager simulates the triggering HTTP request being abandoned
// (client disconnect, ingress idle-timeout) the moment a multi-GB file starts
// staging. It cancels the request context and records whether the context the
// stager itself received was cancelled as a result.
type cancelOnStageStager struct {
fakeFileStager
cancelRequest context.CancelFunc
staged bool
ctxErrOnStage error
}
func (s *cancelOnStageStager) EnsureRemote(ctx context.Context, _, _, key string) (string, error) {
s.staged = true
// Mid-transfer: the client gives up on the (minutes-long) request.
if s.cancelRequest != nil {
s.cancelRequest()
}
// A multi-GB upload must survive this. If staging were bound to the
// request context, ctx is now cancelled and the real HTTP stager would
// abort with "context canceled" — exactly the production outage.
s.ctxErrOnStage = ctx.Err()
return "/remote/" + key, nil
}
var _ = Describe("Route cold-load staging context", func() {
It("detaches staging from the request context so a client disconnect cannot abort a multi-GB transfer", func() {
// A real model file so stageModelFiles actually calls the stager
// (non-existent paths are skipped).
tmp := GinkgoT().TempDir()
modelFile := filepath.Join(tmp, "big.gguf")
Expect(os.WriteFile(modelFile, []byte("weights"), 0o644)).To(Succeed())
reg := &fakeModelRouter{
findAndLockErr: errors.New("not loaded"),
findIdleNode: &BackendNode{ID: "n1", Name: "worker-1", Address: "10.0.0.1:50051"},
}
backend := &stubBackend{loadResult: &pb.Result{Success: true}}
factory := &stubClientFactory{client: backend}
unloader := &fakeUnloader{installReply: &messaging.BackendInstallReply{
Success: true,
Address: "10.0.0.1:9001",
}}
stager := &cancelOnStageStager{}
router := NewSmartRouter(reg, SmartRouterOptions{
Unloader: unloader,
ClientFactory: factory,
FileStager: stager,
// DB nil: no advisory lock, exercises the same detached load ctx.
})
ctx, cancel := context.WithCancel(context.Background())
stager.cancelRequest = cancel
defer cancel()
result, err := router.Route(ctx, "big-model", filepath.Join("models", "big.gguf"), "llama-cpp",
&pb.ModelOptions{Model: "big.gguf", ModelFile: modelFile}, false)
Expect(err).ToNot(HaveOccurred())
Expect(result).ToNot(BeNil())
Expect(stager.staged).To(BeTrue(), "staging must have been attempted")
Expect(stager.ctxErrOnStage).ToNot(HaveOccurred(),
"staging context must survive cancellation of the triggering request")
})
})

View File

@@ -5,58 +5,138 @@ import (
"fmt"
"sync"
"time"
"github.com/mudler/LocalAI/core/services/messaging"
)
// StagingStatus represents the current progress of a model staging operation.
type StagingStatus struct {
ModelID string `json:"model_id"`
NodeName string `json:"node_name"`
FileName string `json:"file_name"`
BytesSent int64 `json:"bytes_sent"`
TotalBytes int64 `json:"total_bytes"`
Progress float64 `json:"progress"` // 0-100 overall progress
Speed string `json:"speed"`
FileIndex int `json:"file_index"`
TotalFiles int `json:"total_files"`
Message string `json:"message"`
ModelID string `json:"model_id"`
NodeName string `json:"node_name"`
FileName string `json:"file_name"`
BytesSent int64 `json:"bytes_sent"`
TotalBytes int64 `json:"total_bytes"`
Progress float64 `json:"progress"` // 0-100 overall progress
Speed string `json:"speed"`
FileIndex int `json:"file_index"`
TotalFiles int `json:"total_files"`
Message string `json:"message"`
StartedAt time.Time `json:"started_at"`
}
const (
// stagingBroadcastInterval bounds how often byte-level UpdateFile ticks are
// re-broadcast to peers (leading-edge debounce). State transitions (Start,
// FileComplete, Complete) always publish so peers never miss them.
stagingBroadcastInterval = time.Second
// stagingRemoteTTL drops a mirrored (remote) op whose last update is older
// than this. NATS pub/sub is fire-and-forget, so a missed Done event would
// otherwise leave a phantom staging row on a peer forever; a live op
// refreshes its mirror at least every stagingBroadcastInterval.
stagingRemoteTTL = 60 * time.Second
)
// stagingEntry wraps a StagingStatus with the bookkeeping needed to keep peer
// replicas consistent: whether this op is mirrored from a peer (remote) vs.
// owned locally, when it was last updated (for remote-mirror expiry), and when
// its byte progress was last broadcast (for debounce).
type stagingEntry struct {
status StagingStatus
remote bool
updatedAt time.Time
lastPub time.Time
}
// StagingTracker tracks active file staging operations in-memory.
// Used by SmartRouter to publish progress and by /api/operations to surface it.
//
// In distributed mode each frontend replica runs its own tracker. The replica
// performing a transfer owns the op locally and broadcasts progress over NATS
// (SetPublisher); peers mirror it via ApplyRemote (SubscribeBroadcasts) so a
// /api/operations poll that round-robins onto any replica surfaces the op.
type StagingTracker struct {
mu sync.RWMutex
active map[string]*StagingStatus
mu sync.RWMutex
active map[string]*stagingEntry
publisher messaging.Publisher
}
// StagingProgressEvent is the wire payload a frontend replica broadcasts on
// SubjectStagingProgress so peer replicas can mirror a staging op they did not
// originate. Done signals the op finished (peers drop their mirrored copy).
type StagingProgressEvent struct {
ModelID string `json:"model_id"`
Status *StagingStatus `json:"status,omitempty"`
Done bool `json:"done"`
}
// NewStagingTracker creates a new tracker.
func NewStagingTracker() *StagingTracker {
return &StagingTracker{
active: make(map[string]*StagingStatus),
active: make(map[string]*stagingEntry),
}
}
// SetPublisher wires the NATS publisher used to broadcast staging progress to
// peer replicas. No-op publisher (nil) keeps the tracker standalone.
func (t *StagingTracker) SetPublisher(p messaging.Publisher) {
t.mu.Lock()
defer t.mu.Unlock()
t.publisher = p
}
// SubscribeBroadcasts subscribes to peer replicas' staging-progress broadcasts
// and mirrors them into this tracker, so /api/operations on any replica surfaces
// staging ops it did not originate. Returns the subscription for cleanup.
func (t *StagingTracker) SubscribeBroadcasts(nc messaging.MessagingClient) (messaging.Subscription, error) {
return messaging.SubscribeJSON(nc, messaging.SubjectStagingProgressWildcard, func(evt StagingProgressEvent) {
if evt.ModelID == "" {
return
}
t.ApplyRemote(evt)
})
}
// publishStaging emits an event to the per-model staging subject. The publisher
// is captured by the caller under the lock and passed in, so publishing happens
// outside the lock (a slow NATS link must not stall the staging copy loop).
func publishStaging(p messaging.Publisher, evt StagingProgressEvent) {
if p == nil {
return
}
_ = p.Publish(messaging.SubjectStagingProgress(evt.ModelID), evt)
}
// Start registers a new staging operation for the given model.
func (t *StagingTracker) Start(modelID, nodeName string, totalFiles int) {
t.mu.Lock()
defer t.mu.Unlock()
t.active[modelID] = &StagingStatus{
ModelID: modelID,
NodeName: nodeName,
TotalFiles: totalFiles,
StartedAt: time.Now(),
Message: "Preparing to stage model files",
e := &stagingEntry{
status: StagingStatus{
ModelID: modelID,
NodeName: nodeName,
TotalFiles: totalFiles,
StartedAt: time.Now(),
Message: "Preparing to stage model files",
},
updatedAt: time.Now(),
// lastPub stays zero so the first UpdateFile tick always broadcasts.
}
t.active[modelID] = e
pub := t.publisher
snap := e.status
t.mu.Unlock()
publishStaging(pub, StagingProgressEvent{ModelID: modelID, Status: &snap})
}
// UpdateFile updates the tracker with current file transfer progress.
func (t *StagingTracker) UpdateFile(modelID, fileName string, fileIndex int, bytesSent, totalBytes int64, speed string) {
t.mu.Lock()
defer t.mu.Unlock()
s, ok := t.active[modelID]
e, ok := t.active[modelID]
if !ok {
t.mu.Unlock()
return
}
s := &e.status
s.FileName = fileName
s.FileIndex = fileIndex
s.BytesSent = bytesSent
@@ -79,52 +159,121 @@ func (t *StagingTracker) UpdateFile(modelID, fileName string, fileIndex int, byt
} else {
s.Message = fmt.Sprintf("Staging %s", fileName)
}
e.updatedAt = time.Now()
// Leading-edge debounce: byte ticks fire many times per second; only
// re-broadcast at most once per stagingBroadcastInterval.
var pub messaging.Publisher
var snap StagingStatus
if time.Since(e.lastPub) >= stagingBroadcastInterval {
e.lastPub = time.Now()
pub = t.publisher
snap = e.status
}
t.mu.Unlock()
if pub != nil {
publishStaging(pub, StagingProgressEvent{ModelID: modelID, Status: &snap})
}
}
// FileComplete marks a single file as done within a staging operation.
func (t *StagingTracker) FileComplete(modelID string, fileIndex, totalFiles int) {
t.mu.Lock()
defer t.mu.Unlock()
s, ok := t.active[modelID]
e, ok := t.active[modelID]
if !ok {
t.mu.Unlock()
return
}
s := &e.status
if totalFiles > 0 {
s.Progress = float64(fileIndex) / float64(totalFiles) * 100
}
s.BytesSent = 0
s.TotalBytes = 0
s.Speed = ""
e.updatedAt = time.Now()
e.lastPub = time.Now()
pub := t.publisher
snap := e.status
t.mu.Unlock()
// Always broadcast a per-file completion so peers' progress bars advance.
publishStaging(pub, StagingProgressEvent{ModelID: modelID, Status: &snap})
}
// Complete removes a staging operation (it's done).
func (t *StagingTracker) Complete(modelID string) {
t.mu.Lock()
defer t.mu.Unlock()
_, ok := t.active[modelID]
delete(t.active, modelID)
pub := t.publisher
t.mu.Unlock()
if ok {
// Tell peers to drop their mirrored copy.
publishStaging(pub, StagingProgressEvent{ModelID: modelID, Done: true})
}
}
// GetAll returns a snapshot of all active staging operations.
// ApplyRemote merges a peer replica's staging broadcast into this tracker. It
// never re-broadcasts (no echo loop). A locally-owned op is authoritative: a
// remote event for the same model is ignored, so the origin replica receiving
// its own broadcast (and any stray peer event) cannot clobber or delete it.
func (t *StagingTracker) ApplyRemote(evt StagingProgressEvent) {
t.mu.Lock()
defer t.mu.Unlock()
if existing, ok := t.active[evt.ModelID]; ok && !existing.remote {
// We own this op locally — ignore peer chatter about it.
return
}
if evt.Done {
delete(t.active, evt.ModelID)
return
}
if evt.Status == nil {
return
}
t.active[evt.ModelID] = &stagingEntry{
status: *evt.Status,
remote: true,
updatedAt: time.Now(),
}
}
// GetAll returns a snapshot of all active staging operations. Stale remote
// mirrors (a peer op whose Done event was missed) are pruned here so they don't
// linger in the UI.
func (t *StagingTracker) GetAll() map[string]StagingStatus {
t.mu.RLock()
defer t.mu.RUnlock()
t.mu.Lock()
defer t.mu.Unlock()
now := time.Now()
result := make(map[string]StagingStatus, len(t.active))
for k, v := range t.active {
result[k] = *v
for k, e := range t.active {
if e.remote && now.Sub(e.updatedAt) > stagingRemoteTTL {
delete(t.active, k)
continue
}
result[k] = e.status
}
return result
}
// Get returns the status of a specific staging operation, or nil if not active.
// Get returns the status of a specific staging operation, or nil if not active
// (or a stale remote mirror).
func (t *StagingTracker) Get(modelID string) *StagingStatus {
t.mu.RLock()
defer t.mu.RUnlock()
s, ok := t.active[modelID]
e, ok := t.active[modelID]
if !ok {
return nil
}
copy := *s
return &copy
if e.remote && time.Since(e.updatedAt) > stagingRemoteTTL {
return nil
}
s := e.status
return &s
}
// StagingProgressCallback is called by file stagers to report byte-level progress.

View File

@@ -0,0 +1,109 @@
package nodes
import (
"encoding/json"
. "github.com/onsi/ginkgo/v2"
. "github.com/onsi/gomega"
"github.com/mudler/LocalAI/core/services/messaging"
)
// decodeStagingEvents extracts every StagingProgressEvent the fake messaging
// client captured, in publish order.
func decodeStagingEvents(mc *fakeMessagingClient) []StagingProgressEvent {
mc.mu.Lock()
defer mc.mu.Unlock()
var out []StagingProgressEvent
for _, p := range mc.published {
var evt StagingProgressEvent
if err := json.Unmarshal(p.Data, &evt); err != nil {
continue
}
if evt.ModelID == "" {
continue
}
out = append(out, evt)
}
return out
}
var _ = Describe("StagingTracker cross-replica broadcast", func() {
Context("when a publisher is wired (distributed mode)", func() {
It("broadcasts staging progress so a peer replica surfaces an op it did not originate", func() {
mc := &fakeMessagingClient{}
origin := NewStagingTracker()
origin.SetPublisher(mc)
origin.Start("model-x", "worker-1", 1)
origin.UpdateFile("model-x", "weights.gguf", 1, 5<<30, 10<<30, "100 MiB/s")
events := decodeStagingEvents(mc)
Expect(events).ToNot(BeEmpty(), "writes must be broadcast over NATS")
Expect(mc.published[0].Subject).To(Equal(messaging.SubjectStagingProgress("model-x")))
// A peer replica that never ran the op merges the broadcast.
peer := NewStagingTracker()
for _, evt := range events {
peer.ApplyRemote(evt)
}
all := peer.GetAll()
Expect(all).To(HaveKey("model-x"))
Expect(all["model-x"].NodeName).To(Equal("worker-1"))
Expect(all["model-x"].FileName).To(Equal("weights.gguf"))
Expect(all["model-x"].TotalBytes).To(Equal(int64(10 << 30)))
})
It("removes the op from the peer when the origin completes it", func() {
mc := &fakeMessagingClient{}
origin := NewStagingTracker()
origin.SetPublisher(mc)
origin.Start("model-x", "worker-1", 1)
origin.Complete("model-x")
peer := NewStagingTracker()
for _, evt := range decodeStagingEvents(mc) {
peer.ApplyRemote(evt)
}
Expect(peer.GetAll()).ToNot(HaveKey("model-x"))
})
It("does not let a peer broadcast clobber an op this replica is itself running", func() {
local := NewStagingTracker()
local.Start("model-x", "worker-local", 2)
local.UpdateFile("model-x", "weights.gguf", 1, 9<<30, 10<<30, "")
// A stray/older remote event for the SAME modelID must not overwrite
// the authoritative local state, nor delete it.
local.ApplyRemote(StagingProgressEvent{
ModelID: "model-x",
Status: &StagingStatus{ModelID: "model-x", NodeName: "worker-other", FileName: "stale.gguf"},
})
local.ApplyRemote(StagingProgressEvent{ModelID: "model-x", Done: true})
all := local.GetAll()
Expect(all).To(HaveKey("model-x"))
Expect(all["model-x"].NodeName).To(Equal("worker-local"))
Expect(all["model-x"].FileName).To(Equal("weights.gguf"))
})
})
Context("when no publisher is wired (standalone mode)", func() {
It("does not broadcast", func() {
mc := &fakeMessagingClient{}
t := NewStagingTracker()
t.Start("model-x", "worker-1", 1)
t.UpdateFile("model-x", "weights.gguf", 1, 1<<30, 10<<30, "")
Expect(mc.published).To(BeEmpty())
})
})
})
var _ = Describe("SubjectStagingProgress", func() {
It("namespaces by model id and matches the wildcard prefix", func() {
Expect(messaging.SubjectStagingProgress("model-x")).To(Equal("staging.model-x.progress"))
Expect(messaging.SubjectStagingProgressWildcard).To(Equal("staging.*.progress"))
})
})

View File

@@ -44,7 +44,7 @@ func applyAnyText(v any, elem int, text string) any {
if elem < 0 {
return text
}
if arr, ok := v.([]any); ok && elem >= 0 && elem < len(arr) {
if arr, ok := v.([]any); ok && elem < len(arr) {
arr[elem] = text
}
return v

View File

@@ -39,8 +39,9 @@ type patternDetector struct {
// When tracing is enabled it records a pattern_pii BackendTrace so the matches
// (group, byte range, text) show in the Traces UI alongside NER detections.
func (d *patternDetector) Detect(_ context.Context, text string) ([]pii.NEREntity, error) {
tracing := d.appConfig != nil && d.appConfig.EnableTracing
var start time.Time
if d.appConfig != nil && d.appConfig.EnableTracing {
if tracing {
trace.InitBackendTracingIfEnabled(d.appConfig.TracingMaxItems, d.appConfig.TracingMaxBodyBytes)
start = time.Now()
}
@@ -50,12 +51,12 @@ func (d *patternDetector) Detect(_ context.Context, text string) ([]pii.NEREntit
var traceEnts []backend.TokenEntity
for _, mt := range matches {
out = append(out, pii.NEREntity{Group: mt.Group, Start: mt.Start, End: mt.End, Score: 1.0, Text: mt.Text})
if d.appConfig != nil && d.appConfig.EnableTracing {
if tracing {
traceEnts = append(traceEnts, backend.TokenEntity{Group: mt.Group, Start: mt.Start, End: mt.End, Score: 1.0, Text: mt.Text})
}
}
if d.appConfig != nil && d.appConfig.EnableTracing {
if tracing {
trace.RecordBackendTrace(patternPIITrace(d.modelName, text, traceEnts, start))
}
return out, nil

View File

@@ -28,10 +28,16 @@ const (
// credential shape, small enough that the compiled program stays tiny.
MaxPatternLen = 256
// MaxQuantifier caps an explicit {n,m} upper bound. RE2 expands a bounded
// repeat into that many copies, so an uncapped {0,1000000} would blow up
// the compiled program's memory. Unbounded {n,} (no upper) is a loop, not
// an expansion, and is allowed.
MaxQuantifier = 4096
// repeat into that many copies, so a large bound inflates the compiled
// program. Go's regexp/syntax independently rejects any bound above 1000
// at Parse time, so this cap MUST stay strictly below 1000 to be a live
// guard rather than dead code shadowed by the parser: a bound in
// (MaxQuantifier, 1000] reaches walk and is rejected here with an
// actionable error, while >1000 is caught earlier by Parse. 512 is far
// larger than any real credential token yet keeps the guard meaningful and
// is defence in depth should the stdlib cap ever rise. Unbounded {n,} (no
// upper) is a loop, not an expansion, and is allowed.
MaxQuantifier = 512
// MaxAlternation caps the arms of a single `a|b|c` alternation.
MaxAlternation = 64
// MaxAST bounds recursion depth so a pathologically nested pattern can't

View File

@@ -1,6 +1,7 @@
package piipattern
import (
"fmt"
"strings"
"testing"
@@ -36,6 +37,45 @@ var _ = Describe("ValidatePattern", func() {
)
})
var _ = Describe("MaxQuantifier guard (must stay live, not dead code)", func() {
// Go's regexp/syntax hard-caps repeat bounds at 1000 and rejects anything
// larger at Parse time, before walk() runs. So the walk() {n,m} guard only
// fires for bounds in (MaxQuantifier, 1000]; if MaxQuantifier ever creeps
// to >= 1000 the guard becomes unreachable dead code. These specs pin the
// relationship and prove the guard is the binding constraint in that band.
const stdlibRepeatCap = 1000
It("is strictly below the stdlib repeat cap so the guard is reachable", func() {
Expect(MaxQuantifier).To(BeNumerically("<", stdlibRepeatCap),
"MaxQuantifier must be < %d or walk()'s {n,m} guard is dead code (Parse rejects larger bounds first)", stdlibRepeatCap)
})
It("accepts a bound at exactly MaxQuantifier", func() {
Expect(ValidatePattern(fmt.Sprintf(`sk-ant-[A-Za-z0-9]{%d}`, MaxQuantifier))).To(Succeed())
})
It("rejects a bound just above MaxQuantifier with our actionable error (proves the guard runs)", func() {
// MaxQuantifier+1 is still parseable (<= stdlib cap), so it reaches
// walk(), where our guard — not the parser — rejects it.
err := ValidatePattern(fmt.Sprintf(`sk-ant-[A-Za-z0-9]{%d}`, MaxQuantifier+1))
Expect(err).To(HaveOccurred())
Expect(err.Error()).To(ContainSubstring("bound is too large"),
"a bound in (MaxQuantifier, stdlib cap] must be rejected by walk(), not the parser")
})
It("rejects an unbounded {n,} whose lower bound exceeds MaxQuantifier", func() {
err := ValidatePattern(fmt.Sprintf(`sk-ant-[A-Za-z0-9]{%d,}`, MaxQuantifier+1))
Expect(err).To(HaveOccurred())
Expect(err.Error()).To(ContainSubstring("bound is too large"))
})
It("still fails closed above the stdlib cap (Parse rejects before walk)", func() {
// >1000: caught by syntax.Parse; the message is the parser's, but it
// still fails closed — defence in depth.
Expect(ValidatePattern(fmt.Sprintf(`sk-ant-[A-Za-z0-9]{%d}`, stdlibRepeatCap+1))).NotTo(Succeed())
})
})
var _ = Describe("Compile", func() {
It("compiles a valid pattern with leftmost-longest semantics", func() {
re, err := Compile(`sk-ant-[A-Za-z0-9_-]{4,}`)

View File

@@ -311,7 +311,7 @@ Used by the WebUI and admin API consumers. Requires admin authentication.
| `POST` | `/api/nodes/:id/models/unload` | Unload a model from a worker |
| `POST` | `/api/nodes/:id/models/delete` | Delete model files from a worker |
The **Nodes** page in the React WebUI provides a visual overview of all registered workers, their statuses, and loaded models.
The **Nodes** page in the React WebUI provides a visual overview of all registered workers, their statuses, and loaded models. The page opens with a one-line **cluster pulse** summarising node health and an **attention callout** that surfaces nodes needing action (for example pending approvals). Below that, a roster of **node panels** lists each worker with its inline model chips (no expand click needed), filtered by an **All / Backend / Agent** segmented control. Selecting a panel opens a dedicated **node detail page** at `/app/nodes/:id` with per-node metrics, models, and backend actions. Model scheduling lives on its own **Scheduling** page (separate nav item), not as a tab on the Nodes page.
## Node Approval
@@ -554,7 +554,7 @@ local-ai worker \
## Model Scheduling
Model scheduling controls where models are placed and how many replicas are maintained. It combines two optional features:
Model scheduling controls where models are placed and how many replicas are maintained. In the React WebUI it has its own **Scheduling** page (a top-level nav item, separate from the Nodes page). It combines two optional features:
### Node Selectors

View File

@@ -131,6 +131,10 @@ local-ai run ollama://gemma:2b
local-ai run oci://localai/phi-2:latest
```
{{% notice note %}}
When pulling models from Ollama or OCI registries, LocalAI identifies itself with a `LocalAI/<version>` `User-Agent` header so registry operators can attribute usage to LocalAI.
{{% /notice %}}
### Run Models via URI
To run models via URI, specify a URI to a model file or a configuration file when starting LocalAI. Valid syntax includes:

View File

@@ -1,4 +1,142 @@
---
- name: "qwythos-9b-claude-mythos-5-1m"
url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
urls:
- https://huggingface.co/empero-ai/Qwythos-9B-Claude-Mythos-5-1M-GGUF
description: |
# Qwythos-9B
**Developed by Empero**
**Qwythos-9B** is a full-parameter reasoning model built on top of a **deeply uncensored Qwen3.5-9B base** and post-trained on **over 500 million tokens** of high-quality Claude Mythos and Claude Fable traces, with chain-of-thought generated in-house by Empero AI's internal tool **rethink**.
The result is a compact, fast, **dramatically more capable** 9B reasoning model. Headline capabilities:
...
license: "apache-2.0"
tags:
- llm
- gguf
- vision
- multimodal
- reasoning
overrides:
backend: llama-cpp
function:
automatic_tool_parsing_fallback: true
grammar:
disable: true
known_usecases:
- chat
mmproj: llama-cpp/mmproj/Qwythos-9B-Claude-Mythos-5-1M-GGUF/mmproj-Qwythos-9B-Claude-Mythos-5-1M-f16.gguf
options:
- use_jinja:true
- spec_type:draft-mtp
- spec_n_max:6
- spec_p_min:0.75
parameters:
model: llama-cpp/models/Qwythos-9B-Claude-Mythos-5-1M-GGUF/Qwythos-9B-Claude-Mythos-5-1M-MTP-Q4_K_M.gguf
template:
use_tokenizer_template: true
files:
- filename: llama-cpp/models/Qwythos-9B-Claude-Mythos-5-1M-GGUF/Qwythos-9B-Claude-Mythos-5-1M-MTP-Q4_K_M.gguf
sha256: 24ee22e0f5d9f0d3d615809607f365c728d9b0c3f3fb6eb19d8bd83a1c2933d8
uri: https://huggingface.co/empero-ai/Qwythos-9B-Claude-Mythos-5-1M-GGUF/resolve/main/Qwythos-9B-Claude-Mythos-5-1M-MTP-Q4_K_M.gguf
- filename: llama-cpp/mmproj/Qwythos-9B-Claude-Mythos-5-1M-GGUF/mmproj-Qwythos-9B-Claude-Mythos-5-1M-f16.gguf
sha256: f70dc3509053962b0d0d3ee8a7eacebf5d60aa560cad78254ae8698516ae029f
uri: https://huggingface.co/empero-ai/Qwythos-9B-Claude-Mythos-5-1M-GGUF/resolve/main/mmproj-Qwythos-9B-Claude-Mythos-5-1M-f16.gguf
- name: "glm-5.2"
url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
urls:
- https://huggingface.co/unsloth/GLM-5.2-GGUF
description: |
# GLM-5.2
👋 Join our WeChat or Discord community.
📖 Check out the GLM-5.2 blog and GLM-5 Technical report.
📍 Use GLM-5.2 API services on Z.ai API Platform.
🔜 Try GLM-5.2 here.
[Paper]
[GitHub]
## Introduction
We're introducing GLM-5.2, our latest flagship model for long-horizon tasks. It marks a substantial leap in long-horizon task capability over its predecessor GLM-5.1 and, for the first time, delivers that capability on a **solid 1M-token context**. GLM-5.2's new capabilities include:
- **Solid 1M Context:** A solid 1M-token context that stably sustains long-horizon work
- **Advanced Coding with Flexible Effort**: Stronger coding capabilities with multiple thinking effort levels to balance performance and latency
- **Improved Architecture**: We propose IndexShare, which reuses the same indexer across every four sparse attention layers, reducing per-token FLOPs by 2.9× at a 1M context length. We also improve GLM-5.2s MTP layer for speculative decoding, increasing the acceptance length by up to 20%
- **Pure Open**: An MIT open-source license — no regional limits, technical access without borders
## Benchmark
## Serve GLM-5.2 Locally
...
license: "mit"
tags:
- llm
- gguf
icon: https://raw.githubusercontent.com/zai-org/GLM-5/refs/heads/main/resources/bench_52.png
overrides:
backend: llama-cpp
function:
automatic_tool_parsing_fallback: true
grammar:
disable: true
known_usecases:
- chat
options:
- use_jinja:true
- spec_type:draft-mtp
- spec_n_max:6
- spec_p_min:0.75
parameters:
min_p: 0.01
model: llama-cpp/models/GLM-5.2-GGUF/GLM-5.2-UD-Q4_K_M-00001-of-00011.gguf
repeat_penalty: 1
temperature: 1
top_k: -1
top_p: 0.95
template:
use_tokenizer_template: true
files:
- filename: llama-cpp/models/GLM-5.2-GGUF/GLM-5.2-UD-Q4_K_M-00001-of-00011.gguf
sha256: 3256ac8c290273f0965ff39e93a8bcd07dc99bcd23e923bd4b7306ef39061038
uri: https://huggingface.co/unsloth/GLM-5.2-GGUF/resolve/main/UD-Q4_K_M/GLM-5.2-UD-Q4_K_M-00001-of-00011.gguf
- filename: llama-cpp/models/GLM-5.2-GGUF/GLM-5.2-UD-Q4_K_M-00002-of-00011.gguf
sha256: 1020105e78d862988a6cabb3a78eafa75f29666ab8a5fd10de1b9b8c8a6bc5e8
uri: https://huggingface.co/unsloth/GLM-5.2-GGUF/resolve/main/UD-Q4_K_M/GLM-5.2-UD-Q4_K_M-00002-of-00011.gguf
- filename: llama-cpp/models/GLM-5.2-GGUF/GLM-5.2-UD-Q4_K_M-00003-of-00011.gguf
sha256: 0b36f406e120759290894ea4960d5086f9b362a8c8f9c7fcaad24b4471172efb
uri: https://huggingface.co/unsloth/GLM-5.2-GGUF/resolve/main/UD-Q4_K_M/GLM-5.2-UD-Q4_K_M-00003-of-00011.gguf
- filename: llama-cpp/models/GLM-5.2-GGUF/GLM-5.2-UD-Q4_K_M-00004-of-00011.gguf
sha256: 04b19199f52ba29e7f9966b15df3fbc2d1e5c56cd6343c405076be7174d49d32
uri: https://huggingface.co/unsloth/GLM-5.2-GGUF/resolve/main/UD-Q4_K_M/GLM-5.2-UD-Q4_K_M-00004-of-00011.gguf
- filename: llama-cpp/models/GLM-5.2-GGUF/GLM-5.2-UD-Q4_K_M-00005-of-00011.gguf
sha256: 5cb76d724ee16e80c1cb6aba29aacd76161e7a6f147079be3447501c06d95f2c
uri: https://huggingface.co/unsloth/GLM-5.2-GGUF/resolve/main/UD-Q4_K_M/GLM-5.2-UD-Q4_K_M-00005-of-00011.gguf
- filename: llama-cpp/models/GLM-5.2-GGUF/GLM-5.2-UD-Q4_K_M-00006-of-00011.gguf
sha256: ec2c65255c834b686f066e350bc5b8d8a7020cd1133f0ee9e819d2fb5d3afad0
uri: https://huggingface.co/unsloth/GLM-5.2-GGUF/resolve/main/UD-Q4_K_M/GLM-5.2-UD-Q4_K_M-00006-of-00011.gguf
- filename: llama-cpp/models/GLM-5.2-GGUF/GLM-5.2-UD-Q4_K_M-00007-of-00011.gguf
sha256: 53c8328852ca0b6791a9a9243bcc56157305adca8526a646054389845e7445a9
uri: https://huggingface.co/unsloth/GLM-5.2-GGUF/resolve/main/UD-Q4_K_M/GLM-5.2-UD-Q4_K_M-00007-of-00011.gguf
- filename: llama-cpp/models/GLM-5.2-GGUF/GLM-5.2-UD-Q4_K_M-00008-of-00011.gguf
sha256: 9a23bfb21c5f6fcc94b0329c108ec1ef3fdbd815c57eeb0bf105d26861d7271e
uri: https://huggingface.co/unsloth/GLM-5.2-GGUF/resolve/main/UD-Q4_K_M/GLM-5.2-UD-Q4_K_M-00008-of-00011.gguf
- filename: llama-cpp/models/GLM-5.2-GGUF/GLM-5.2-UD-Q4_K_M-00009-of-00011.gguf
sha256: 71088054fb1a09a4f38e2ee8a726526790660a4f77ead817f75cb7a484bdb0b8
uri: https://huggingface.co/unsloth/GLM-5.2-GGUF/resolve/main/UD-Q4_K_M/GLM-5.2-UD-Q4_K_M-00009-of-00011.gguf
- filename: llama-cpp/models/GLM-5.2-GGUF/GLM-5.2-UD-Q4_K_M-00010-of-00011.gguf
sha256: 848db99658faf24971df23638281305a15bdc187cbcaed968952ed9e9c835b50
uri: https://huggingface.co/unsloth/GLM-5.2-GGUF/resolve/main/UD-Q4_K_M/GLM-5.2-UD-Q4_K_M-00010-of-00011.gguf
- filename: llama-cpp/models/GLM-5.2-GGUF/GLM-5.2-UD-Q4_K_M-00011-of-00011.gguf
sha256: 629e23bce250fb500d9a190de7249c2882af524aacc112ce507a871ed5bebf90
uri: https://huggingface.co/unsloth/GLM-5.2-GGUF/resolve/main/UD-Q4_K_M/GLM-5.2-UD-Q4_K_M-00011-of-00011.gguf
- name: "qwen3.6-35b-a3b-nvfp4-mtp"
url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
urls:
@@ -1114,6 +1252,98 @@
- filename: privacy-filter/models/privacy-filter-multilingual/privacy-filter-multilingual-f16.gguf
sha256: 01b76572f80b7d2ebee80a27cb9c3699c26b04cae1c402eee7664fc17a4b5ce6
uri: https://huggingface.co/LocalAI-io/privacy-filter-multilingual-GGUF/resolve/main/privacy-filter-multilingual-f16.gguf
- name: "privacy-filter-nemotron"
url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
icon: https://cdn-avatars.huggingface.co/v1/production/uploads/5fd5e18a90b6dc4633f6d292/QPiv8pt4JNxr0FdGnpFef.png
urls:
- https://huggingface.co/OpenMed/privacy-filter-nemotron
- https://huggingface.co/LocalAI-io/privacy-filter-nemotron-GGUF
description: |
A fine-grained English PII token-classification model: a fine-tune of
openai/privacy-filter by OpenMed on NVIDIA's Nemotron-PII dataset. It labels
every token with a BIOES tag over 55 PII categories (221 classes), trading
the multilingual sibling's language breadth for category depth - identity,
contact, address, dates, government IDs, financial, healthcare, enterprise,
vehicle and digital entities (including api_key, ipv4/ipv6 and mac_address).
For multilingual text prefer privacy-filter-multilingual instead.
In LocalAI this is a PII detector for the NER redactor tier: set
known_usecases to [token_classify] (as below), and any model opts into
redaction by listing this one under pii.detectors. The detection policy
(which categories to mask vs block, and the score threshold) lives on this
model's own pii_detection block - see the overrides below. It runs locally
with no Python, served by the standalone privacy-filter backend's
TokenClassify RPC (constrained BIOES Viterbi decode into UTF-8 byte-offset
entity spans).
Architecture: gpt-oss-style sparse MoE (8 layers, d_model 640, 128 experts
top-4, ~1.5B total / ~50M active per token), bidirectional banded attention,
o200k tokenizer and a 221-way token-classification head; served via the
openai-privacy-filter architecture. F16, ~2.8 GB. (A smaller Q8_0 quant
exists on the GGUF repo for RAM-constrained use - validate it on your own
data, since for PII a single dropped span is a leak.)
license: apache-2.0
tags:
- token-classification
- ner
- pii
- privacy
- nemotron
- gguf
overrides:
backend: privacy-filter
embeddings: true
known_usecases:
- token_classify
parameters:
model: privacy-filter/models/privacy-filter-nemotron/privacy-filter-nemotron-f16.gguf
pii_detection:
min_score: 0.5
default_action: mask
files:
- filename: privacy-filter/models/privacy-filter-nemotron/privacy-filter-nemotron-f16.gguf
sha256: 70dfe91ff220ff04594168a83e296dcc2054449cde77f98d0e782edbb6a31f5a
uri: https://huggingface.co/LocalAI-io/privacy-filter-nemotron-GGUF/resolve/main/privacy-filter-nemotron-f16.gguf
- name: "privacy-filter-nemotron-q8"
url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
icon: https://cdn-avatars.huggingface.co/v1/production/uploads/5fd5e18a90b6dc4633f6d292/QPiv8pt4JNxr0FdGnpFef.png
urls:
- https://huggingface.co/OpenMed/privacy-filter-nemotron
- https://huggingface.co/LocalAI-io/privacy-filter-nemotron-GGUF
description: |
Q8_0 quant of privacy-filter-nemotron (~1.64 GB, vs ~2.8 GB for F16) for
RAM-constrained / edge use (e.g. a 4 GB Raspberry Pi 5). The MoE expert
weights are stored 8-bit; attention, embeddings and the classifier head
stay F16. Same model, policy and runtime as the F16 entry - see
privacy-filter-nemotron for the full description.
Prefer the F16 entry when you can afford it: it is the reference artifact.
On a mixed-PII document the publisher measured q8 matching F16 on 99.93% of
token labels with an identical span set at threshold 0.5 - but one token
flipped, and for PII a single dropped span is a leak. Treat q8 as a
deliberate size/speed tradeoff and validate it on your own data.
license: apache-2.0
tags:
- token-classification
- ner
- pii
- privacy
- nemotron
- gguf
overrides:
backend: privacy-filter
embeddings: true
known_usecases:
- token_classify
parameters:
model: privacy-filter/models/privacy-filter-nemotron/privacy-filter-nemotron-q8.gguf
pii_detection:
min_score: 0.5
default_action: mask
files:
- filename: privacy-filter/models/privacy-filter-nemotron/privacy-filter-nemotron-q8.gguf
sha256: 2ec11c154e572a2686f4d77e861b7f74e6917e09638fe9bd27156d48bd99e21a
uri: https://huggingface.co/LocalAI-io/privacy-filter-nemotron-GGUF/resolve/main/privacy-filter-nemotron-q8.gguf
- name: "secret-filter"
url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
description: |

View File

@@ -11,6 +11,8 @@ import (
oras "oras.land/oras-go/v2"
"oras.land/oras-go/v2/registry/remote"
"oras.land/oras-go/v2/registry/remote/auth"
"oras.land/oras-go/v2/registry/remote/retry"
)
func FetchImageBlob(ctx context.Context, r, reference, dst string, statusReader func(ocispec.Descriptor) io.Writer) error {
@@ -28,6 +30,16 @@ func FetchImageBlob(ctx context.Context, r, reference, dst string, statusReader
}
repo.SkipReferrersGC = true
// Identify LocalAI to the registry. This mirrors oras' auth.DefaultClient
// (same retry policy) but advertises a LocalAI User-Agent instead of the
// library default.
client := &auth.Client{
Client: retry.DefaultClient,
Cache: auth.NewCache(),
}
client.SetUserAgent(UserAgent())
repo.Client = client
// https://github.com/oras-project/oras/blob/main/cmd/oras/internal/option/remote.go#L364
// https://github.com/oras-project/oras/blob/main/cmd/oras/root/blob/fetch.go#L136
desc, reader, err := oras.Fetch(ctx, repo.Blobs(), reference, oras.DefaultFetchOptions)

View File

@@ -176,6 +176,7 @@ func GetImage(targetImage, targetPlatform string, auth *registrytypes.AuthConfig
opts := []remote.Option{
remote.WithTransport(tr),
remote.WithPlatform(*platform),
remote.WithUserAgent(UserAgent()),
}
if auth != nil {
opts = append(opts, remote.WithAuth(staticAuth{auth}))
@@ -223,6 +224,7 @@ func GetImageDigest(targetImage, targetPlatform string, auth *registrytypes.Auth
opts := []remote.Option{
remote.WithTransport(tr),
remote.WithPlatform(*platform),
remote.WithUserAgent(UserAgent()),
}
if auth != nil {
opts = append(opts, remote.WithAuth(staticAuth{auth}))

View File

@@ -47,6 +47,7 @@ func OllamaModelManifest(image string) (*Manifest, error) {
return nil, err
}
req.Header.Set("Accept", "application/vnd.docker.distribution.manifest.v2+json")
req.Header.Set("User-Agent", UserAgent())
client := httpclient.New(httpclient.WithFollowRedirects())
resp, err := client.Do(req)
if err != nil {

19
pkg/oci/useragent.go Normal file
View File

@@ -0,0 +1,19 @@
package oci
import (
"fmt"
"github.com/mudler/LocalAI/internal"
)
// UserAgent returns the User-Agent string LocalAI sends on outbound registry
// requests (OCI registries and Ollama). It identifies the client as LocalAI
// and, when the binary was built with a version stamp, appends it so registries
// can attribute client-side usage to LocalAI rather than to the generic
// User-Agent of the underlying transport library.
func UserAgent() string {
if internal.Version == "" {
return "LocalAI"
}
return fmt.Sprintf("LocalAI/%s", internal.Version)
}

32
pkg/oci/useragent_test.go Normal file
View File

@@ -0,0 +1,32 @@
package oci_test
import (
"github.com/mudler/LocalAI/internal"
. "github.com/mudler/LocalAI/pkg/oci"
. "github.com/onsi/ginkgo/v2"
. "github.com/onsi/gomega"
)
var _ = Describe("OCI", func() {
Context("UserAgent", func() {
var savedVersion string
BeforeEach(func() {
savedVersion = internal.Version
})
AfterEach(func() {
internal.Version = savedVersion
})
It("identifies as LocalAI when no version is stamped", func() {
internal.Version = ""
Expect(UserAgent()).To(Equal("LocalAI"))
})
It("appends the build version when one is stamped", func() {
internal.Version = "v3.2.1"
Expect(UserAgent()).To(Equal("LocalAI/v3.2.1"))
})
})
})

View File

@@ -1021,6 +1021,25 @@ const docTemplate = `{
}
}
},
"/api/nodes/models": {
"get": {
"tags": [
"Nodes"
],
"summary": "List all loaded models cluster-wide",
"responses": {
"200": {
"description": "OK",
"schema": {
"type": "array",
"items": {
"$ref": "#/definitions/nodes.NodeModel"
}
}
}
}
}
},
"/api/nodes/{id}/max-replicas-per-model": {
"put": {
"tags": [
@@ -3754,6 +3773,52 @@ const docTemplate = `{
}
}
},
"nodes.NodeModel": {
"type": "object",
"properties": {
"address": {
"description": "gRPC address for this replica's backend process",
"type": "string"
},
"backend_type": {
"description": "e.g. \"llama-cpp\"; used by reconciler to replicate loads",
"type": "string"
},
"created_at": {
"type": "string"
},
"id": {
"type": "string"
},
"in_flight": {
"description": "number of active requests on this replica",
"type": "integer"
},
"last_used": {
"type": "string"
},
"loading_by": {
"description": "frontend ID that triggered loading",
"type": "string"
},
"model_name": {
"type": "string"
},
"node_id": {
"type": "string"
},
"replica_index": {
"type": "integer"
},
"state": {
"description": "loading, loaded, unloading, idle",
"type": "string"
},
"updated_at": {
"type": "string"
}
}
},
"proto.MemoryUsageData": {
"type": "object",
"properties": {

View File

@@ -1018,6 +1018,25 @@
}
}
},
"/api/nodes/models": {
"get": {
"tags": [
"Nodes"
],
"summary": "List all loaded models cluster-wide",
"responses": {
"200": {
"description": "OK",
"schema": {
"type": "array",
"items": {
"$ref": "#/definitions/nodes.NodeModel"
}
}
}
}
}
},
"/api/nodes/{id}/max-replicas-per-model": {
"put": {
"tags": [
@@ -3751,6 +3770,52 @@
}
}
},
"nodes.NodeModel": {
"type": "object",
"properties": {
"address": {
"description": "gRPC address for this replica's backend process",
"type": "string"
},
"backend_type": {
"description": "e.g. \"llama-cpp\"; used by reconciler to replicate loads",
"type": "string"
},
"created_at": {
"type": "string"
},
"id": {
"type": "string"
},
"in_flight": {
"description": "number of active requests on this replica",
"type": "integer"
},
"last_used": {
"type": "string"
},
"loading_by": {
"description": "frontend ID that triggered loading",
"type": "string"
},
"model_name": {
"type": "string"
},
"node_id": {
"type": "string"
},
"replica_index": {
"type": "integer"
},
"state": {
"description": "loading, loaded, unloading, idle",
"type": "string"
},
"updated_at": {
"type": "string"
}
}
},
"proto.MemoryUsageData": {
"type": "object",
"properties": {

View File

@@ -422,6 +422,38 @@ definitions:
vram_display:
type: string
type: object
nodes.NodeModel:
properties:
address:
description: gRPC address for this replica's backend process
type: string
backend_type:
description: e.g. "llama-cpp"; used by reconciler to replicate loads
type: string
created_at:
type: string
id:
type: string
in_flight:
description: number of active requests on this replica
type: integer
last_used:
type: string
loading_by:
description: frontend ID that triggered loading
type: string
model_name:
type: string
node_id:
type: string
replica_index:
type: integer
state:
description: loading, loaded, unloading, idle
type: string
updated_at:
type: string
type: object
proto.MemoryUsageData:
properties:
breakdown:
@@ -3221,6 +3253,18 @@ paths:
summary: Update a node's max replicas per model
tags:
- Nodes
/api/nodes/models:
get:
responses:
"200":
description: OK
schema:
items:
$ref: '#/definitions/nodes.NodeModel'
type: array
summary: List all loaded models cluster-wide
tags:
- Nodes
/api/p2p:
get:
responses:

View File

@@ -11,6 +11,7 @@ import (
"path/filepath"
"strings"
"time"
"unicode/utf8"
pb "github.com/mudler/LocalAI/pkg/grpc/proto"
. "github.com/onsi/ginkgo/v2"
@@ -85,27 +86,28 @@ import (
// file path to LoadModel, so GGUF, ONNX, safetensors, .bin etc. all work so
// long as the backend under test accepts that format.
const (
capHealth = "health"
capLoad = "load"
capPredict = "predict"
capStream = "stream"
capEmbeddings = "embeddings"
capTools = "tools"
capTranscription = "transcription"
capTTS = "tts"
capImage = "image"
capFaceDetect = "face_detect"
capFaceEmbed = "face_embed"
capFaceVerify = "face_verify"
capFaceAnalyze = "face_analyze"
capFaceAntispoof = "face_antispoof"
capVoiceEmbed = "voice_embed"
capVoiceVerify = "voice_verify"
capVoiceAnalyze = "voice_analyze"
capHealth = "health"
capLoad = "load"
capPredict = "predict"
capStream = "stream"
capEmbeddings = "embeddings"
capTools = "tools"
capTranscription = "transcription"
capTTS = "tts"
capImage = "image"
capFaceDetect = "face_detect"
capFaceEmbed = "face_embed"
capFaceVerify = "face_verify"
capFaceAnalyze = "face_analyze"
capFaceAntispoof = "face_antispoof"
capVoiceEmbed = "voice_embed"
capVoiceVerify = "voice_verify"
capVoiceAnalyze = "voice_analyze"
capAudioTransform = "audio_transform"
capLogprobs = "logprobs"
capLogitBias = "logit_bias"
capTokenize = "tokenize"
capLogprobs = "logprobs"
capLogitBias = "logit_bias"
capTokenize = "tokenize"
capTokenClassify = "token_classify"
defaultPrompt = "The capital of France is"
streamPrompt = "Once upon a time"
@@ -550,6 +552,45 @@ var _ = Describe("Backend container", Ordered, func() {
GinkgoWriter.Printf("Embedding: %d dims\n", len(res.GetEmbeddings()))
})
// TokenClassify is the PII-NER RPC (privacy-filter backend). The crown-jewel
// invariant is byte-offset correctness: Start/End are half-open BYTE offsets
// into the original UTF-8 text, and the backend's emitted text for a span must
// equal text[Start:End]. We run at Threshold 0 (raw, unfiltered) and assert
// every returned span is in range, rune-aligned, and self-consistent. The
// prompt carries multibyte runes BEFORE the PII so a rune/byte confusion in
// the engine would surface as a shifted slice here. Override the text with
// BACKEND_TEST_TOKEN_CLASSIFY_TEXT for a model that detects a different class.
It("classifies PII spans with byte-correct offsets via TokenClassify", func() {
if !caps[capTokenClassify] {
Skip("token_classify capability not enabled")
}
text := os.Getenv("BACKEND_TEST_TOKEN_CLASSIFY_TEXT")
if text == "" {
text = "Müller paid at café in Zürich; reach john.doe@example.com tomorrow."
}
ctx, cancel := context.WithTimeout(context.Background(), 120*time.Second)
defer cancel()
res, err := client.TokenClassify(ctx, &pb.TokenClassifyRequest{Text: text, Threshold: 0})
Expect(err).NotTo(HaveOccurred(), "TokenClassify RPC failed")
ents := res.GetEntities()
Expect(ents).NotTo(BeEmpty(), "TokenClassify returned no entities for an obvious-PII sentence")
for _, e := range ents {
start, end := int(e.GetStart()), int(e.GetEnd())
Expect(start).To(BeNumerically(">=", 0))
Expect(end).To(BeNumerically(">", start))
Expect(end).To(BeNumerically("<=", len(text)))
Expect(utf8.RuneStart(text[start])).To(BeTrue(), "start %d is mid-rune in %q", start, text)
if end < len(text) {
Expect(utf8.RuneStart(text[end])).To(BeTrue(), "end %d is mid-rune in %q", end, text)
}
slice := text[start:end]
Expect(utf8.ValidString(slice)).To(BeTrue(), "span %q is not valid UTF-8", slice)
Expect(e.GetText()).To(Equal(slice), "entity text must equal text[start:end]")
GinkgoWriter.Printf("TokenClassify: %q [%d:%d] %s score=%.3f\n",
slice, start, end, e.GetEntityGroup(), e.GetScore())
}
})
It("generates an image via GenerateImage", func() {
if !caps[capImage] {
Skip("image capability not enabled")

View File

@@ -0,0 +1,186 @@
package e2e_test
import (
"bytes"
"context"
"encoding/json"
"io"
"net/http"
"unicode/utf8"
"github.com/mudler/LocalAI/core/backend"
"github.com/mudler/LocalAI/core/schema"
. "github.com/onsi/ginkgo/v2"
. "github.com/onsi/gomega"
)
// Live PII NER tier e2e. These specs run the real privacy-filter GGUF on CPU
// through the full TokenClassify path — the gap the hermetic suite cannot
// cover (it only exercises the in-process pattern tier). They Skip unless
// PII_NER_MODEL_GGUF is wired in BeforeSuite, so the default PR suite is
// unaffected; the dedicated CI job sets it.
//
// The crown-jewel invariant is byte-offset correctness: entity Start/End are
// half-open BYTE offsets into the original UTF-8 text, and the model's emitted
// text for a span must equal the corresponding byte slice. We assert that two
// ways — directly against ModelTokenClassify (raw, Threshold 0, no redactor
// merge) and against the /api/pii/analyze HTTP contract (post-merge,
// post-MinScore). The multibyte case proves offsets are bytes, not runes.
var _ = Describe("PII NER tier (live privacy-filter GGUF)", func() {
const (
// Reliable, unambiguous PII the multilingual NER model detects.
emailText = "Please contact John Doe at john.doe@example.com about invoice 4421."
// Multibyte chars BEFORE the email push its byte offset past its rune
// offset, so a rune/byte confusion in the engine or the Go bridge would
// surface as a mismatched slice here but not in the ASCII case above.
multibyteText = "Müller paid at café in Zürich; reach john.doe@example.com tomorrow."
)
BeforeEach(func() {
if piiNERModel == "" {
Skip("live PII NER model not wired (set PII_NER_MODEL_GGUF + REALTIME_BACKENDS_PATH; see tests-pii-ner-e2e.yml)")
}
})
Context("raw TokenClassify (byte-offset contract)", func() {
It("returns byte-correct, rune-aligned spans for an ASCII email", func() {
ents := tokenClassify(emailText)
Expect(ents).NotTo(BeEmpty(), "model must detect at least one entity in an obvious-PII sentence")
for _, e := range ents {
assertByteCorrectSpan(emailText, e.Start, e.End, e.Text)
}
Expect(spanCoversSubstring(emailText, ents, "john.doe@example.com")).To(BeTrue(),
"some detected span must cover the email address")
})
It("keeps byte offsets correct when multibyte runes precede the PII", func() {
ents := tokenClassify(multibyteText)
Expect(ents).NotTo(BeEmpty())
for _, e := range ents {
// This is the assertion that fails if offsets were computed in
// runes rather than bytes: the slice would be shifted left.
assertByteCorrectSpan(multibyteText, e.Start, e.End, e.Text)
}
Expect(spanCoversSubstring(multibyteText, ents, "john.doe@example.com")).To(BeTrue())
})
})
Context("HTTP /api/pii/analyze", func() {
It("reports ner-source entities with byte-correct offsets", func() {
status, resp := analyze(schema.PIIAnalyzeRequest{
Text: emailText,
Detectors: []string{piiNERModel},
})
Expect(status).To(Equal(http.StatusOK))
Expect(resp.Entities).NotTo(BeEmpty())
for _, e := range resp.Entities {
Expect(e.Source).To(Equal("ner"), "privacy-filter detections must be tagged source=ner")
Expect(e.Action).To(Equal("mask"), "default_action mask must propagate to each entity")
assertByteCorrectSpan(emailText, e.Start, e.End, emailText[e.Start:e.End])
Expect(e.Score).To(BeNumerically(">=", 0.5), "below-MinScore spans are dropped before the response")
}
})
})
Context("HTTP /api/pii/redact", func() {
It("masks detected PII out of the returned text", func() {
status, body := redact(schema.PIIAnalyzeRequest{
Text: emailText,
Detectors: []string{piiNERModel},
})
Expect(status).To(Equal(http.StatusOK))
var resp schema.PIIRedactResponse
Expect(json.Unmarshal(body, &resp)).To(Succeed())
Expect(resp.Masked).To(BeTrue())
Expect(resp.RedactedText).NotTo(Equal(emailText))
Expect(resp.RedactedText).NotTo(ContainSubstring("john.doe@example.com"),
"the masked email must not survive in the redacted body")
})
It("rejects the request with pii_blocked when an entity action is block", func() {
status, body := redact(schema.PIIAnalyzeRequest{
Text: emailText,
Detectors: []string{piiNERBlockModel},
})
Expect(status).To(Equal(http.StatusBadRequest))
Expect(string(body)).To(ContainSubstring("pii_blocked"))
Expect(string(body)).NotTo(ContainSubstring("john.doe@example.com"),
"a blocked response must never echo the raw secret")
})
})
})
// tokenClassify drives core/backend.ModelTokenClassify against the live model
// with the loader/config the running server uses — the same path the NER
// detector takes, but at Threshold 0 so we see the raw, unmerged spans.
func tokenClassify(text string) []backend.TokenEntity {
GinkgoHelper()
cfg, ok := localAIApp.ModelConfigLoader().GetModelConfig(piiNERModel)
Expect(ok).To(BeTrue(), "model config %q must be loaded", piiNERModel)
fn, err := backend.ModelTokenClassify(text, backend.TokenClassifyOptions{},
localAIApp.ModelLoader(), cfg, localAIApp.ApplicationConfig())
Expect(err).NotTo(HaveOccurred())
ents, err := fn(context.TODO())
Expect(err).NotTo(HaveOccurred())
return ents
}
// assertByteCorrectSpan is the shared byte-offset invariant: a half-open byte
// range within text, aligned to UTF-8 rune boundaries, whose slice equals the
// entity's own reported text.
func assertByteCorrectSpan(text string, start, end int, got string) {
GinkgoHelper()
Expect(start).To(BeNumerically(">=", 0))
Expect(end).To(BeNumerically(">", start))
Expect(end).To(BeNumerically("<=", len(text)))
Expect(utf8.RuneStart(text[start])).To(BeTrue(), "start %d is mid-rune in %q", start, text)
if end < len(text) {
Expect(utf8.RuneStart(text[end])).To(BeTrue(), "end %d is mid-rune in %q", end, text)
}
slice := text[start:end]
Expect(utf8.ValidString(slice)).To(BeTrue(), "span %q is not valid UTF-8", slice)
Expect(slice).To(Equal(got), "entity text must equal text[start:end]")
}
func spanCoversSubstring(text string, ents []backend.TokenEntity, sub string) bool {
lo := bytes.Index([]byte(text), []byte(sub))
if lo < 0 {
return false
}
hi := lo + len(sub)
for _, e := range ents {
// any overlap with [lo,hi)
if e.Start < hi && e.End > lo {
return true
}
}
return false
}
func analyze(req schema.PIIAnalyzeRequest) (int, schema.PIIAnalyzeResponse) {
GinkgoHelper()
status, body := postJSON("/api/pii/analyze", req)
var resp schema.PIIAnalyzeResponse
if status == http.StatusOK {
Expect(json.Unmarshal(body, &resp)).To(Succeed())
}
return status, resp
}
func redact(req schema.PIIAnalyzeRequest) (int, []byte) {
GinkgoHelper()
return postJSON("/api/pii/redact", req)
}
func postJSON(path string, payload any) (int, []byte) {
GinkgoHelper()
data, err := json.Marshal(payload)
Expect(err).NotTo(HaveOccurred())
httpResp, err := http.Post(anthropicBaseURL+path, "application/json", bytes.NewReader(data))
Expect(err).NotTo(HaveOccurred())
defer func() { _ = httpResp.Body.Close() }()
body, err := io.ReadAll(httpResp.Body)
Expect(err).NotTo(HaveOccurred())
return httpResp.StatusCode, body
}

View File

@@ -47,6 +47,15 @@ var (
// cloud-proxy model YAMLs can point at their URLs at startup time.
cpOpenAIUpstream *fakeOpenAIUpstreamServer
cpAnthropicUpstream *fakeAnthropicUpstreamServer
// Live PII NER tier. Set only when PII_NER_MODEL_GGUF points at a
// privacy-filter GGUF and the privacy-filter backend is discoverable
// (REALTIME_BACKENDS_PATH). Empty => the NER specs Skip, exactly like the
// cloud-proxy specs Skip without their binary. This is what the hermetic
// suite cannot do (e2e_suite_test.go comment at the cp-translate detector):
// run the real GGUF NER tier instead of only the in-process pattern tier.
piiNERModel string
piiNERBlockModel string
)
var _ = BeforeSuite(func() {
@@ -535,6 +544,40 @@ var _ = BeforeSuite(func() {
}
}
// Live PII NER tier. When PII_NER_MODEL_GGUF points at a downloaded
// privacy-filter GGUF, register two detector models that drive the real
// gRPC TokenClassify path on the privacy-filter backend (discovered via
// REALTIME_BACKENDS_PATH). Two models so we can exercise both policy
// outcomes against the same weights: mask (redact) and block (reject).
// NOTE: no pii_detection.builtins/patterns here — that would flip the
// detector to the in-process regex tier instead of the GGUF NER tier.
if gguf := os.Getenv("PII_NER_MODEL_GGUF"); gguf != "" {
piiNERModel = "privacy-filter-ner"
piiNERBlockModel = "privacy-filter-ner-block"
nerModelConfig := func(name, defaultAction string) map[string]any {
return map[string]any{
"name": name,
"backend": "privacy-filter",
"embeddings": true, // required: TOKEN_CLS pooling loads via the embeddings flag
"known_usecases": []string{"token_classify"},
"parameters": map[string]any{"model": gguf},
"pii_detection": map[string]any{
"min_score": 0.5,
"default_action": defaultAction,
},
}
}
for _, cfg := range []map[string]any{
nerModelConfig(piiNERModel, "mask"),
nerModelConfig(piiNERBlockModel, "block"),
} {
data, err := yaml.Marshal(cfg)
Expect(err).ToNot(HaveOccurred())
Expect(os.WriteFile(filepath.Join(modelsPath, cfg["name"].(string)+".yaml"), data, 0644)).To(Succeed())
}
xlog.Info("wired live PII NER models", "gguf", gguf, "models", []string{piiNERModel, piiNERBlockModel})
}
systemState, err := system.GetSystemState(systemOpts...)
Expect(err).ToNot(HaveOccurred())