fix(react-ui): force .check() on hidden Toggle input in fits-filter e2e (#10031)

* fix(react-ui): force .check() on hidden Toggle input in fits-filter e2e

The polish PR (#10030) swapped the raw <input type=checkbox> for the
shared <Toggle> component, which visually hides its native input via
opacity:0;width:0;height:0. Playwright's .check() waits for visibility
before clicking and times out after 30 s, breaking two UI E2E tests:

  - enabling fits filter hides models that exceed available VRAM
  - fits filter state persists after reload

Pass { force: true } to skip the visibility check; the input is still
the real focusable checkbox and toggles state on click. The companion
.toBeChecked() assertion only reads state and works unchanged.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-7

* fix(react-ui): click visible Toggle track in fits-filter e2e

force:true skips the actionability checks but not the viewport check,
and the Toggle's hidden input has width:0;height:0 so Playwright still
reports "Element is outside of the viewport". Click the visible
.toggle__track inside the filter-bar-group__toggle wrapper instead —
that's what a real user clicks, and label-input association toggles
the wrapped checkbox naturally.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:claude-opus-4-7

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>

.agents/building-and-testing.md

@@ -15,3 +15,32 @@ Let's say the user wants to build a particular backend for a given platform. For
 - Unless the user specifies that they want you to run the command, then just print it because not all agent frontends handle long running jobs well and the output may overflow your context
 - The user may say they want to build AMD or ROCM instead of hipblas, or Intel instead of SYCL or NVIDIA insted of l4t or cublas. Ask for confirmation if there is ambiguity.
 - Sometimes the user may need extra parameters to be added to `docker build` (e.g. `--platform` for cross-platform builds or `--progress` to view the full logs), in which case you can generate the `docker build` command directly.
+
+## Test coverage gate
+
+The core Go suites (`./pkg`, `./core`, plus the in-process integration suite `./tests/e2e`) are covered by a **strict, monotonic coverage ratchet**:
+
+- `make test-coverage` — runs the suites with `covermode=atomic` instrumentation and writes a merged profile to `coverage/coverage.out`. Uses the same prerequisites as `make test`.
+  - **`--coverpkg` (`COVERAGE_COVERPKG = core/...,pkg/...`):** coverage is attributed to the core+pkg packages, not just the package under test. This is what lets the in-process `tests/e2e` suite (which drives the real HTTP server over loopback via `application.New`) credit the `core/http/endpoints/...` handlers it exercises — folding it in roughly doubled endpoint coverage (e.g. `endpoints/openai` 13.6% → 52%). The denominator is therefore *all* of `core`+`pkg` (minus generated proto, dropped via `COVERAGE_EXCLUDE_RE`), so the number isn't comparable to a plain per-package figure.
+  - **Integration suites (`COVERAGE_E2E_ROOTS = ./tests/e2e`)** run non-recursively (excludes `tests/e2e/distributed`, which needs containers) with `--label-filter=!real-models` (those need a downloaded model) against the mock backend built by `prepare-test`. `tests/integration` is deliberately excluded — it needs `make backends/local-store`, which the coverage CI job doesn't build.
+  - **Flake note:** folding integration tests into a *strict* gate means a hard e2e failure (or a spec that silently stops running) can fail the coverage gate, not just the test. `--flake-attempts` absorbs transient retryable failures; covermode=atomic keeps line coverage deterministic otherwise.
+  - **Why one ginkgo run per root (`scripts/run-coverage.sh`):** passing several recursive roots to a *single* ginkgo invocation (e.g. `ginkgo -r ./pkg ./core`) only merges **one** root's coverprofile into `--output-dir`/`--coverprofile` — the others are silently dropped. Verified with ginkgo 2.29.0: `-r ./pkg ./core` yields only `./pkg` coverage, while `-r ./core` alone yields all 34 core packages. So the script runs each root separately and concatenates the (disjoint) profiles. Don't "simplify" it back to a single multi-root invocation — that's how `core/` (including all of `core/http`, ~7.4k statements) silently vanished from the number before.
+  - **Build tags (`COVERAGE_TAGS`, passed via `GINKGO_TAGS`):** defaults to `debug auth`. The `auth` tag is required to compile the real (sqlite-backed) auth implementation and its ~150 `//go:build auth` tests — without it those files aren't built, the tests don't run, and the gate scores auth against a stub (~3.7% instead of ~38%). If you add new tag-gated tests, extend `COVERAGE_TAGS` or they won't count (and likely won't run in CI at all).
+- `make test-coverage-check` — runs `test-coverage`, then `scripts/coverage-check.sh` fails the build if total coverage is **below** the committed baseline in `coverage-baseline.txt`. The Linux job in `.github/workflows/test.yml` runs this instead of `make test`.
+- `make test-coverage-baseline` — regenerates and overwrites `coverage-baseline.txt` from the current run.
+- `make install-hooks` — sets `core.hooksPath` to the versioned `.githooks/`, whose `pre-commit` runs checks scoped to what's staged: Go changes → `make lint` + `make test-coverage-check`; `core/http/react-ui/` changes → `make test-ui-coverage-check` (Playwright e2e + UI coverage gate). A commit touching neither is skipped; bypass with `git commit --no-verify`. The hook resolves golangci-lint's new-from base to `upstream/master` → `origin/master` → `master`, so it works from a fork clone where `origin/master` is stale (passed to `make lint` via `LINT_NEW_FROM`).
+
+### React UI coverage
+
+The React UI (`core/http/react-ui/`) has **no component/unit tests** — its only tests are the Playwright e2e specs in `e2e/`, which run against the real app served by `tests/e2e-ui/ui-test-server` (the dist is `//go:embed`ed, so the server is rebuilt per coverage run). Those specs do genuinely exercise the UI (clicks, `fill`, `setInputFiles`, `getByRole`/`getByText`, visibility/value assertions).
+
+- `make test-ui-coverage` — builds an istanbul-instrumented bundle (`COVERAGE=true`, via `vite-plugin-istanbul` with `forceBuildInstrument: true` — the plugin skips production builds otherwise), re-embeds it into `ui-test-server` (the dist is `//go:embed`ed), runs the Playwright specs, and writes an `nyc` report to `core/http/react-ui/coverage/`. The specs import `{ test, expect }` from `e2e/coverage-fixtures.js` (re-exports Playwright's, plus harvests `window.__coverage__` into `.nyc_output/` after each test). Instrumentation is off unless `COVERAGE=true`, so dev/prod builds and plain `make test-ui-e2e` are unaffected (the fixture no-ops when `window.__coverage__` is absent).
+- **Browser:** the flake dev shell ships `chromium` and exports `PLAYWRIGHT_CHROMIUM_PATH`; `playwright.config.js` uses it via `launchOptions.executablePath`, and the Makefile skips `playwright install` when it's set. This avoids Playwright's downloaded browser, which can't resolve system libs (`libglib-2.0`, …) on NixOS. In CI (no `PLAYWRIGHT_CHROMIUM_PATH`) the Makefile falls back to `playwright install --with-deps chromium`.
+- The app is a React SPA, so coverage accumulates across in-app navigation within a test; a full `page.goto`/reload resets it.
+- `.nycrc.json` uses `all: true`, so **every `src/**` file is in the report**, including 0%-coverage ones — that's how you spot features with no test at all (sort the HTML report or `coverage-summary.json` by line% ascending). 
+- **UI coverage gate:** `make test-ui-coverage-check` runs the suite then `scripts/ui-coverage-check.sh`, failing if total line coverage drops more than `UI_COVERAGE_TOLERANCE` (default **1.0pp**) below `core/http/react-ui/coverage-baseline.txt`. `make test-ui-coverage-baseline` regenerates the baseline. **Why a tolerance (unlike the strict Go gate):** UI e2e line coverage is *non-deterministic* — async/debounced paths (e.g. the VRAM estimate's 500ms debounce) make identical specs vary ~0.5pp run-to-run, so a zero-tolerance gate would flake. Keep the tolerance just above the observed jitter. Run in CI (`tests-ui-e2e.yml`) and pre-commit on `core/http/react-ui/` changes.
+
+Rules:
+- The gate is **strict — there is no tolerance**. Any decrease fails, regardless of how many lines a PR adds or deletes. `covermode=atomic` makes line coverage deterministic, so there's no run-to-run jitter to excuse.
+- When a change legitimately **raises** coverage, run `make test-coverage-baseline` and **commit** the updated `coverage-baseline.txt` so the ratchet moves up. Never lower the baseline by hand.
+- If you can't get coverage back to baseline, the fix is to **add tests**, not to edit the baseline.

.dockerignore

@@ -30,3 +30,19 @@ backend/python/**/source
 # up compiled against whatever (likely older) commit the host had.
 backend/cpp/llama-cpp/llama.cpp
 backend/cpp/llama-cpp-*-build
+
+# Rust backend build output (sources are tracked; target/ is generated)
+backend/rust/*/target
+
+# Local-only artifacts that bloat the build context but the image never needs.
+# Saved image tarballs, locally-installed backends, the host-built binary, and
+# assorted tool/scratch dirs. None of these are git-tracked.
+backend-images
+local-backends
+local-ai
+.crush
+protoc
+tests
+
+# Installed via npm inside the build stage; no need to ship the host copy.
+**/node_modules

.githooks/pre-commit

@@ -0,0 +1,60 @@
+#!/usr/bin/env sh
+#
+# LocalAI pre-commit hook. Install it (once per clone) with:
+#
+#     make install-hooks
+#
+# Runs only the checks relevant to what's staged:
+#   - Go files          -> make lint + make test-coverage-check
+#   - core/http/react-ui -> make test-ui-coverage-check (Playwright e2e + gate)
+# A commit touching neither is skipped entirely (docs/YAML/etc. can't change
+# lint findings, Go coverage, or the UI).
+#
+# To bypass for a single commit (e.g. a WIP checkpoint): git commit --no-verify
+set -eu
+
+repo_root="$(git rev-parse --show-toplevel)"
+cd "$repo_root"
+
+staged="$(git diff --cached --name-only --diff-filter=ACMRD)"
+
+go_changed=0
+ui_changed=0
+if echo "$staged" | grep -qE '\.go$'; then go_changed=1; fi
+if echo "$staged" | grep -qE '^core/http/react-ui/'; then ui_changed=1; fi
+
+if [ "$go_changed" -eq 0 ] && [ "$ui_changed" -eq 0 ]; then
+	echo "pre-commit: no Go or React UI changes staged — skipping."
+	exit 0
+fi
+
+if [ "$go_changed" -eq 1 ]; then
+	# Resolve the ref golangci-lint's new-from-merge-base should compare
+	# against. .golangci.yml pins origin/master, which is correct in CI
+	# (origin == the canonical repo) but wrong from a fork clone, where
+	# origin/master lags behind and lint would report the whole upstream
+	# backlog. Prefer upstream/master, then origin/master, then master.
+	lint_base=""
+	for ref in upstream/master origin/master master; do
+		if git rev-parse --verify --quiet "${ref}^{commit}" >/dev/null 2>&1; then
+			lint_base="$ref"
+			break
+		fi
+	done
+
+	echo "pre-commit ▶ golangci-lint (make lint${lint_base:+, new-from $lint_base})"
+	make lint LINT_NEW_FROM="$lint_base"
+
+	echo "pre-commit ▶ coverage gate (make test-coverage-check) — builds and runs the"
+	echo "             pkg/core suites plus tests/e2e; can take a few minutes."
+	make test-coverage-check
+fi
+
+if [ "$ui_changed" -eq 1 ]; then
+	echo "pre-commit ▶ React UI e2e + coverage gate (make test-ui-coverage-check) —"
+	echo "             rebuilds the UI + ui-test-server, runs the Playwright specs, and"
+	echo "             fails if line coverage regressed; can take a couple of minutes."
+	make test-ui-coverage-check
+fi
+
+echo "pre-commit ✓ all relevant checks passed"

.github/backend-matrix.yml

@@ -690,6 +690,19 @@ include:
     dockerfile: "./backend/Dockerfile.golang"
     context: "./"
     ubuntu-version: '2404'
+  - build-type: 'cublas'
+    cuda-major-version: "12"
+    cuda-minor-version: "8"
+    platforms: 'linux/amd64'
+    tag-latest: 'auto'
+    tag-suffix: '-gpu-nvidia-cuda-12-rfdetr-cpp'
+    runs-on: 'ubuntu-latest'
+    base-image: "ubuntu:24.04"
+    skip-drivers: 'false'
+    backend: "rfdetr-cpp"
+    dockerfile: "./backend/Dockerfile.golang"
+    context: "./"
+    ubuntu-version: '2404'
   - build-type: 'cublas'
     cuda-major-version: "12"
     cuda-minor-version: "8"
@@ -1491,6 +1504,19 @@ include:
     dockerfile: "./backend/Dockerfile.golang"
     context: "./"
     ubuntu-version: '2404'
+  - build-type: 'cublas'
+    cuda-major-version: "13"
+    cuda-minor-version: "0"
+    platforms: 'linux/amd64'
+    tag-latest: 'auto'
+    tag-suffix: '-gpu-nvidia-cuda-13-rfdetr-cpp'
+    runs-on: 'ubuntu-latest'
+    base-image: "ubuntu:24.04"
+    skip-drivers: 'false'
+    backend: "rfdetr-cpp"
+    dockerfile: "./backend/Dockerfile.golang"
+    context: "./"
+    ubuntu-version: '2404'
   - build-type: 'cublas'
     cuda-major-version: "13"
     cuda-minor-version: "0"
@@ -1504,6 +1530,19 @@ include:
     backend: "sam3-cpp"
     dockerfile: "./backend/Dockerfile.golang"
     context: "./"
+  - build-type: 'cublas'
+    cuda-major-version: "13"
+    cuda-minor-version: "0"
+    platforms: 'linux/arm64'
+    skip-drivers: 'false'
+    tag-latest: 'auto'
+    tag-suffix: '-nvidia-l4t-cuda-13-arm64-rfdetr-cpp'
+    base-image: "ubuntu:24.04"
+    ubuntu-version: '2404'
+    runs-on: 'ubuntu-24.04-arm'
+    backend: "rfdetr-cpp"
+    dockerfile: "./backend/Dockerfile.golang"
+    context: "./"
   - build-type: 'cublas'
     cuda-major-version: "13"
     cuda-minor-version: "0"
@@ -2635,6 +2674,74 @@ include:
     dockerfile: "./backend/Dockerfile.golang"
     context: "./"
     ubuntu-version: '2404'
+  # rfdetr-cpp
+  - build-type: ''
+    cuda-major-version: ""
+    cuda-minor-version: ""
+    platforms: 'linux/amd64'
+    tag-latest: 'auto'
+    tag-suffix: '-cpu-rfdetr-cpp'
+    runs-on: 'ubuntu-latest'
+    base-image: "ubuntu:24.04"
+    skip-drivers: 'false'
+    backend: "rfdetr-cpp"
+    dockerfile: "./backend/Dockerfile.golang"
+    context: "./"
+    ubuntu-version: '2404'
+  - build-type: 'sycl_f32'
+    cuda-major-version: ""
+    cuda-minor-version: ""
+    platforms: 'linux/amd64'
+    tag-latest: 'auto'
+    tag-suffix: '-gpu-intel-sycl-f32-rfdetr-cpp'
+    runs-on: 'ubuntu-latest'
+    base-image: "intel/oneapi-basekit:2025.3.0-0-devel-ubuntu24.04"
+    skip-drivers: 'false'
+    backend: "rfdetr-cpp"
+    dockerfile: "./backend/Dockerfile.golang"
+    context: "./"
+    ubuntu-version: '2404'
+  - build-type: 'sycl_f16'
+    cuda-major-version: ""
+    cuda-minor-version: ""
+    platforms: 'linux/amd64'
+    tag-latest: 'auto'
+    tag-suffix: '-gpu-intel-sycl-f16-rfdetr-cpp'
+    runs-on: 'ubuntu-latest'
+    base-image: "intel/oneapi-basekit:2025.3.0-0-devel-ubuntu24.04"
+    skip-drivers: 'false'
+    backend: "rfdetr-cpp"
+    dockerfile: "./backend/Dockerfile.golang"
+    context: "./"
+    ubuntu-version: '2404'
+  - build-type: 'vulkan'
+    cuda-major-version: ""
+    cuda-minor-version: ""
+    platforms: 'linux/amd64'
+    platform-tag: 'amd64'
+    tag-latest: 'auto'
+    tag-suffix: '-gpu-vulkan-rfdetr-cpp'
+    runs-on: 'ubuntu-latest'
+    base-image: "ubuntu:24.04"
+    skip-drivers: 'false'
+    backend: "rfdetr-cpp"
+    dockerfile: "./backend/Dockerfile.golang"
+    context: "./"
+    ubuntu-version: '2404'
+  - build-type: 'vulkan'
+    cuda-major-version: ""
+    cuda-minor-version: ""
+    platforms: 'linux/arm64'
+    platform-tag: 'arm64'
+    tag-latest: 'auto'
+    tag-suffix: '-gpu-vulkan-rfdetr-cpp'
+    runs-on: 'ubuntu-24.04-arm'
+    base-image: "ubuntu:24.04"
+    skip-drivers: 'false'
+    backend: "rfdetr-cpp"
+    dockerfile: "./backend/Dockerfile.golang"
+    context: "./"
+    ubuntu-version: '2404'
   - build-type: 'sycl_f32'
     cuda-major-version: ""
     cuda-minor-version: ""
@@ -2715,6 +2822,19 @@ include:
     dockerfile: "./backend/Dockerfile.golang"
     context: "./"
     ubuntu-version: '2204'
+  - build-type: 'cublas'
+    cuda-major-version: "12"
+    cuda-minor-version: "0"
+    platforms: 'linux/arm64'
+    skip-drivers: 'false'
+    tag-latest: 'auto'
+    tag-suffix: '-nvidia-l4t-arm64-rfdetr-cpp'
+    base-image: "nvcr.io/nvidia/l4t-jetpack:r36.4.0"
+    runs-on: 'ubuntu-24.04-arm'
+    backend: "rfdetr-cpp"
+    dockerfile: "./backend/Dockerfile.golang"
+    context: "./"
+    ubuntu-version: '2204'
   # whisper
   - build-type: ''
     cuda-major-version: ""

.github/workflows/bump_deps.yaml

@@ -50,6 +50,10 @@ jobs:
             variable: "SAM3_VERSION"
             branch: "main"
             file: "backend/go/sam3-cpp/Makefile"
+          - repository: "mudler/rf-detr.cpp"
+            variable: "RFDETR_VERSION"
+            branch: "main"
+            file: "backend/go/rfdetr-cpp/Makefile"
           - repository: "predict-woo/qwen3-tts.cpp"
             variable: "QWEN3TTS_CPP_VERSION"
             branch: "main"

.github/workflows/stalebot.yml

@@ -11,7 +11,7 @@ jobs:
     if: github.repository == 'mudler/LocalAI'
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/stale@b5d41d4e1d5dceea10e7104786b73624c18a190f # v9
+      - uses: actions/stale@eb5cf3af3ac0a1aa4c9c45633dd1ae542a27a899 # v9
         with:
           stale-issue-message: 'This issue is stale because it has been open 90 days with no activity. Remove stale label or comment or this will be closed in 5 days.'
           stale-pr-message: 'This PR is stale because it has been open 90 days with no activity. Remove stale label or comment or this will be closed in 10 days.'

.github/workflows/test-extra.yml

@@ -37,6 +37,7 @@ jobs:
       sglang: ${{ steps.detect.outputs.sglang }}
       acestep-cpp: ${{ steps.detect.outputs.acestep-cpp }}
       qwen3-tts-cpp: ${{ steps.detect.outputs.qwen3-tts-cpp }}
+      rfdetr-cpp: ${{ steps.detect.outputs.rfdetr-cpp }}
       vibevoice-cpp: ${{ steps.detect.outputs.vibevoice-cpp }}
       localvqe: ${{ steps.detect.outputs.localvqe }}
       voxtral: ${{ steps.detect.outputs.voxtral }}
@@ -843,6 +844,42 @@ jobs:
       - name: Test qwen3-tts-cpp
         run: |
           make --jobs=5 --output-sync=target -C backend/go/qwen3-tts-cpp test
+  # Per-backend smoke for rfdetr-cpp: builds the .so + Go binary and runs
+  # `make -C backend/go/rfdetr-cpp test`. test.sh fetches the small (~20 MB)
+  # rfdetr-nano-q8_0 GGUF from the published mudler/rfdetr-cpp-nano HF repo
+  # via curl and synthesises a tiny PNG to exercise the wire protocol.
+  tests-rfdetr-cpp:
+    needs: detect-changes
+    if: needs.detect-changes.outputs.rfdetr-cpp == 'true' || needs.detect-changes.outputs.run-all == 'true'
+    runs-on: ubuntu-latest
+    steps:
+      - name: Clone
+        uses: actions/checkout@v6
+        with:
+          submodules: true
+      - name: Dependencies
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y build-essential cmake curl libopenblas-dev
+      - name: Setup Go
+        uses: actions/setup-go@v5
+      - name: Display Go version
+        run: go version
+      - name: Proto Dependencies
+        run: |
+          # Install protoc
+          curl -L -s https://github.com/protocolbuffers/protobuf/releases/download/v26.1/protoc-26.1-linux-x86_64.zip -o protoc.zip && \
+          unzip -j -d /usr/local/bin protoc.zip bin/protoc && \
+          rm protoc.zip
+          go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.2
+          go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@1958fcbe2ca8bd93af633f11e97d44e567e945af
+          PATH="$PATH:$HOME/go/bin" make protogen-go
+      - name: Build rfdetr-cpp
+        run: |
+          make --jobs=5 --output-sync=target -C backend/go/rfdetr-cpp
+      - name: Test rfdetr-cpp
+        run: |
+          make --jobs=5 --output-sync=target -C backend/go/rfdetr-cpp test
   # Per-backend smoke for vibevoice-cpp: builds the .so + Go binary and
   # runs `make -C backend/go/vibevoice-cpp test`. test.sh auto-downloads
   # the published mudler/vibevoice.cpp-models bundle (TTS Q8_0 + ASR Q4_K

.github/workflows/test.yml

@@ -53,9 +53,22 @@ jobs:
           node-version: '22'
       - name: Build React UI
         run: make react-ui
-      - name: Test
+      # Runs the core suite with coverage and fails if total coverage dropped
+      # below the committed baseline (coverage-baseline.txt). The gate is
+      # strict — any decrease fails. Raise the baseline with
+      # `make test-coverage-baseline` and commit it when coverage rises.
+      - name: Test (with coverage gate)
         run: |
-          PATH="$PATH:/root/go/bin" make --jobs 5 --output-sync=target test
+          PATH="$PATH:/root/go/bin" make --jobs 5 --output-sync=target test-coverage-check
+      - name: Upload coverage report
+        if: ${{ always() }}
+        uses: actions/upload-artifact@v4
+        with:
+          name: coverage-linux
+          path: |
+            coverage/coverage.out
+            coverage/coverage.html
+          if-no-files-found: ignore
       - name: Setup tmate session if tests fail
         if: ${{ failure() }}
         uses: mxschmitt/action-tmate@v3.23

.github/workflows/tests-ui-e2e.yml

@@ -37,6 +37,10 @@ jobs:
         uses: actions/setup-node@v6
         with:
           node-version: '22'
+      - name: Setup Bun
+        uses: oven-sh/setup-bun@v2
+        with:
+          bun-version: '1.3.11'
       - 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 && \
@@ -48,16 +52,12 @@ jobs:
         run: |
           sudo apt-get update
           sudo apt-get install -y build-essential libopus-dev
-      - name: Build UI test server
-        run: PATH="$PATH:$HOME/go/bin" make build-ui-test-server
-      - name: Install Playwright
-        working-directory: core/http/react-ui
-        run: |
-          npm install
-          npx playwright install --with-deps chromium
-      - name: Run Playwright tests
-        working-directory: core/http/react-ui
-        run: npx playwright test
+      # Builds an instrumented UI bundle, runs the Playwright specs, and fails
+      # if line coverage regressed beyond the jitter tolerance (the gate is
+      # in `make test-ui-coverage-check`). PLAYWRIGHT_CHROMIUM_PATH is unset
+      # here, so scripts/ensure-playwright-browser.sh installs Chromium via apt.
+      - name: Run UI e2e + coverage gate
+        run: PATH="$PATH:$HOME/go/bin" make test-ui-coverage-check
       - name: Upload Playwright report
         if: ${{ failure() }}
         uses: actions/upload-artifact@v7
@@ -65,6 +65,14 @@ jobs:
           name: playwright-report
           path: core/http/react-ui/playwright-report/
           retention-days: 7
+      - name: Upload UI coverage report
+        if: ${{ always() }}
+        uses: actions/upload-artifact@v7
+        with:
+          name: ui-coverage
+          path: core/http/react-ui/coverage/
+          if-no-files-found: ignore
+          retention-days: 7
       - name: Setup tmate session if tests fail
         if: ${{ failure() }}
         uses: mxschmitt/action-tmate@v3.23

.gitignore

@@ -70,10 +70,17 @@ docs/static/gallery.html
 # per-developer customization files for the development container
 .devcontainer/customization/*
 
+# Coverage profiles (the committed baseline is coverage-baseline.txt)
+/coverage/
+
 # React UI build artifacts (keep placeholder dist/index.html)
 core/http/react-ui/node_modules/
 core/http/react-ui/dist
 
+# React UI coverage (vite-plugin-istanbul + nyc, via `make test-ui-coverage`)
+core/http/react-ui/.nyc_output/
+core/http/react-ui/coverage/
+
 # Extracted backend binaries for container-based testing
 local-backends/
 

CONTRIBUTING.md

@@ -198,6 +198,7 @@ For AI-assisted development, see [`AGENTS.md`](AGENTS.md) (or the equivalent [`C
 
 - Prefer modern Go idioms — for example, use `any` instead of `interface{}`.
 - Use [`golangci-lint`](https://golangci-lint.run) to catch common issues before submitting a PR.
+- Run `make install-hooks` once per clone to enable the pre-commit hook: Go changes run `make lint` + the coverage gate (`make test-coverage-check`); `core/http/react-ui/` changes run the Playwright e2e suite (`make test-ui`). Bypass a single commit with `git commit --no-verify`.
 - Use [`github.com/mudler/xlog`](https://github.com/mudler/xlog) for logging (same API as `slog`). Do not use `fmt.Println` or the standard `log` package for operational logging.
 - Use tab indentation for Go files (as defined in `.editorconfig`).
 

Makefile

@@ -1,5 +1,5 @@
 # Disable parallel execution for backend builds
-.NOTPARALLEL: backends/diffusers backends/llama-cpp backends/turboquant backends/outetts backends/piper backends/stablediffusion-ggml backends/whisper backends/faster-whisper backends/silero-vad backends/local-store backends/huggingface backends/rfdetr backends/insightface backends/speaker-recognition backends/kitten-tts backends/kokoro backends/chatterbox backends/llama-cpp-darwin backends/neutts build-darwin-python-backend build-darwin-go-backend backends/mlx backends/diffuser-darwin backends/mlx-vlm backends/mlx-audio backends/mlx-distributed backends/stablediffusion-ggml-darwin backends/vllm backends/vllm-omni backends/sglang backends/moonshine backends/pocket-tts backends/qwen-tts backends/faster-qwen3-tts backends/qwen-asr backends/nemo backends/voxcpm backends/whisperx backends/ace-step backends/acestep-cpp backends/fish-speech backends/voxtral backends/opus backends/trl backends/llama-cpp-quantization backends/kokoros backends/sam3-cpp backends/qwen3-tts-cpp backends/vibevoice-cpp backends/localvqe backends/tinygrad backends/sherpa-onnx backends/ds4 backends/ds4-darwin backends/liquid-audio
+.NOTPARALLEL: backends/diffusers backends/llama-cpp backends/turboquant backends/outetts backends/piper backends/stablediffusion-ggml backends/whisper backends/faster-whisper backends/silero-vad backends/local-store backends/huggingface backends/rfdetr backends/rfdetr-cpp backends/insightface backends/speaker-recognition backends/kitten-tts backends/kokoro backends/chatterbox backends/llama-cpp-darwin backends/neutts build-darwin-python-backend build-darwin-go-backend backends/mlx backends/diffuser-darwin backends/mlx-vlm backends/mlx-audio backends/mlx-distributed backends/stablediffusion-ggml-darwin backends/vllm backends/vllm-omni backends/sglang backends/moonshine backends/pocket-tts backends/qwen-tts backends/faster-qwen3-tts backends/qwen-asr backends/nemo backends/voxcpm backends/whisperx backends/ace-step backends/acestep-cpp backends/fish-speech backends/voxtral backends/opus backends/trl backends/llama-cpp-quantization backends/kokoros backends/sam3-cpp backends/qwen3-tts-cpp backends/vibevoice-cpp backends/localvqe backends/tinygrad backends/sherpa-onnx backends/ds4 backends/ds4-darwin backends/liquid-audio
 
 GOCMD=go
 GOTEST=$(GOCMD) test
@@ -71,8 +71,39 @@ endif
 
 TEST_PATHS?=./api/... ./pkg/... ./core/... ./backend/go/cloud-proxy/... ./backend/go/local-store/...
 
+## Coverage output and the committed baseline that CI compares against.
+## The gate is strict: total coverage must never decrease (no tolerance).
+## covermode=atomic makes line coverage deterministic regardless of test
+## ordering or flake retries, so there is no run-to-run jitter to absorb.
+COVERAGE_DIR?=$(abspath ./coverage)
+COVERAGE_PROFILE?=$(COVERAGE_DIR)/coverage.out
+COVERAGE_BASELINE?=coverage-baseline.txt
+## Coverage is collected one recursive root at a time and merged (see
+## scripts/run-coverage.sh): passing several recursive roots to a single
+## ginkgo invocation only keeps one root's coverprofile. Mirrors TEST_PATHS
+## minus ./api (which doesn't exist).
+COVERAGE_ROOTS?=./pkg ./core
+## Build tags for the coverage build. `auth` is required to compile the real
+## auth implementation and its ~150 `//go:build auth` tests (otherwise they're
+## invisible and the gate scores auth against a stub). `debug` matches `test`.
+COVERAGE_TAGS?=debug auth
+## Coverage is attributed to these packages via --coverpkg, so the in-process
+## integration suites (COVERAGE_E2E_ROOTS) credit the core/http handlers they
+## drive over HTTP — not just their own test package.
+COVERAGE_COVERPKG?=github.com/mudler/LocalAI/core/...,github.com/mudler/LocalAI/pkg/...
+## In-process integration suites folded into coverage. Run non-recursively
+## (excludes tests/e2e/distributed, which needs containers) with the mock
+## backend built by prepare-test. real-models specs need a downloaded model,
+## so they're filtered out. NOTE: tests/integration is intentionally NOT here —
+## it needs the local-store backend built (`make backends/local-store`), which
+## the coverage CI job doesn't do.
+COVERAGE_E2E_ROOTS?=./tests/e2e
+COVERAGE_E2E_LABELS?=!real-models
+## Drop generated protobuf from the denominator (it has no tests by design).
+COVERAGE_EXCLUDE_RE?=grpc/proto/.*[.]pb[.]go
 
-.PHONY: all test build vendor lint lint-all
+
+.PHONY: all test test-coverage test-coverage-baseline test-coverage-check test-ui test-ui-coverage-baseline test-ui-coverage-check install-hooks build vendor lint lint-all
 
 all: help
 
@@ -170,6 +201,36 @@ test: prepare-test
 	OPUS_SHIM_LIBRARY=$(abspath ./pkg/opus/shim/libopusshim.so) \
 	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --flake-attempts $(TEST_FLAKES) --fail-fast -v -r $(TEST_PATHS)
 
+## Runs the core suite ($(TEST_PATHS)) with statement-coverage instrumentation
+## and writes a merged profile to $(COVERAGE_PROFILE). Deliberately omits
+## --fail-fast so a single failure doesn't truncate the coverage number, and
+## uses covermode=atomic so the result is deterministic. Prints the total.
+test-coverage: prepare-test
+	@echo 'Running tests with coverage'
+	GINKGO_TAGS="$(COVERAGE_TAGS)" \
+	COVERAGE_COVERPKG="$(COVERAGE_COVERPKG)" \
+	COVERAGE_E2E_ROOTS="$(COVERAGE_E2E_ROOTS)" \
+	COVERAGE_E2E_LABELS="$(COVERAGE_E2E_LABELS)" \
+	COVERAGE_EXCLUDE_RE='$(COVERAGE_EXCLUDE_RE)' \
+	OPUS_SHIM_LIBRARY=$(abspath ./pkg/opus/shim/libopusshim.so) \
+	scripts/run-coverage.sh $(COVERAGE_DIR) $(COVERAGE_PROFILE) $(TEST_FLAKES) $(COVERAGE_ROOTS)
+	@$(GOCMD) tool cover -html=$(COVERAGE_PROFILE) -o $(COVERAGE_DIR)/coverage.html
+	@$(GOCMD) tool cover -func=$(COVERAGE_PROFILE) | tail -n1
+
+## Writes the current total coverage to $(COVERAGE_BASELINE). Run this (and
+## commit the result) whenever a change legitimately raises coverage so the
+## ratchet moves up. Never lower it by hand.
+test-coverage-baseline: test-coverage
+	@$(GOCMD) tool cover -func=$(COVERAGE_PROFILE) | awk '/^total:/{gsub(/%/,"",$$NF); print $$NF}' > $(COVERAGE_BASELINE)
+	@echo "Saved coverage baseline: $$(cat $(COVERAGE_BASELINE))%"
+
+## CI gate: fails if total coverage dropped more than COVERAGE_TOLERANCE
+## (default 0.5pp) below the committed baseline. A small tolerance absorbs the
+## run-to-run jitter from the in-process tests/e2e suite folded in via
+## --coverpkg (timing-dependent which handler lines execute).
+test-coverage-check: test-coverage
+	@scripts/coverage-check.sh $(COVERAGE_PROFILE) $(COVERAGE_BASELINE)
+
 ########################################################
 ## Lint
 ########################################################
@@ -185,12 +246,17 @@ test: prepare-test
 ## everything else automatically, so new packages are scanned by default.
 LINT_EXCLUDE_DIRS_RE=/(backend/go/(piper|silero-vad|llm)|cmd/launcher)(/|$$)
 
+## Set LINT_NEW_FROM to a git ref to override .golangci.yml's
+## new-from-merge-base (origin/master). Useful from a fork clone where
+## origin/master is stale relative to the canonical repo — the pre-commit
+## hook passes the resolved upstream ref here so local lint matches CI.
+LINT_NEW_FROM?=
 lint:
 	@command -v golangci-lint >/dev/null 2>&1 || { \
 		echo 'golangci-lint not installed. Install: go install github.com/golangci/golangci-lint/v2/cmd/golangci-lint@latest'; \
 		exit 1; \
 	}
-	golangci-lint run $$(go list -e -f '{{.Dir}}' ./... | grep -vE '$(LINT_EXCLUDE_DIRS_RE)')
+	golangci-lint run $(if $(LINT_NEW_FROM),--new-from-merge-base=$(LINT_NEW_FROM),) $$(go list -e -f '{{.Dir}}' ./... | grep -vE '$(LINT_EXCLUDE_DIRS_RE)')
 
 ## Like `lint` but reports every issue, including the pre-existing baseline
 ## that `lint` ignores via .golangci.yml's new-from-merge-base. Use this to
@@ -202,6 +268,17 @@ lint-all:
 	}
 	golangci-lint run --new=false --new-from-merge-base= --new-from-rev= $$(go list -e -f '{{.Dir}}' ./... | grep -vE '$(LINT_EXCLUDE_DIRS_RE)')
 
+########################################################
+## Git hooks
+########################################################
+## Points git at the versioned .githooks/ directory so the pre-commit hook
+## (lint + coverage gate) runs locally. Run once per clone. Undo with:
+## `git config --unset core.hooksPath`. Skip a single commit with
+## `git commit --no-verify`.
+install-hooks:
+	git config core.hooksPath .githooks
+	@echo 'Installed git hooks: core.hooksPath -> .githooks (pre-commit runs lint + test-coverage-check on Go changes)'
+
 ########################################################
 ## E2E AIO tests (uses standard image with pre-configured models)
 ########################################################
@@ -481,6 +558,7 @@ prepare-test-extra: protogen-python
 	$(MAKE) -C backend/python/insightface
 	$(MAKE) -C backend/python/speaker-recognition
 	$(MAKE) -C backend/rust/kokoros kokoros-grpc
+	$(MAKE) -C backend/go/rfdetr-cpp
 
 test-extra: prepare-test-extra
 	$(MAKE) -C backend/python/transformers test
@@ -507,6 +585,7 @@ test-extra: prepare-test-extra
 	$(MAKE) -C backend/python/insightface test
 	$(MAKE) -C backend/python/speaker-recognition test
 	$(MAKE) -C backend/rust/kokoros test
+	$(MAKE) -C backend/go/rfdetr-cpp test
 
 ##
 ## End-to-end gRPC tests that exercise a built backend container image.
@@ -1119,6 +1198,7 @@ BACKEND_KOKOROS = kokoros|rust|.|false|true
 
 # C++ backends (Go wrapper with purego)
 BACKEND_SAM3_CPP = sam3-cpp|golang|.|false|true
+BACKEND_RFDETR_CPP = rfdetr-cpp|golang|.|false|true
 
 # Helper function to build docker image for a backend
 # Usage: $(call docker-build-backend,BACKEND_NAME,DOCKERFILE_TYPE,BUILD_CONTEXT,PROGRESS_FLAG,NEEDS_BACKEND_ARG)
@@ -1198,13 +1278,14 @@ $(eval $(call generate-docker-build-target,$(BACKEND_LLAMA_CPP_QUANTIZATION)))
 $(eval $(call generate-docker-build-target,$(BACKEND_TINYGRAD)))
 $(eval $(call generate-docker-build-target,$(BACKEND_KOKOROS)))
 $(eval $(call generate-docker-build-target,$(BACKEND_SAM3_CPP)))
+$(eval $(call generate-docker-build-target,$(BACKEND_RFDETR_CPP)))
 $(eval $(call generate-docker-build-target,$(BACKEND_SHERPA_ONNX)))
 
 # Pattern rule for docker-save targets
 docker-save-%: backend-images
 	docker save local-ai-backend:$* -o backend-images/$*.tar
 
-docker-build-backends: docker-build-llama-cpp docker-build-ik-llama-cpp docker-build-turboquant docker-build-ds4 docker-build-rerankers docker-build-vllm docker-build-vllm-omni docker-build-sglang docker-build-transformers docker-build-outetts docker-build-diffusers docker-build-kokoro docker-build-faster-whisper docker-build-coqui docker-build-chatterbox docker-build-vibevoice docker-build-liquid-audio docker-build-moonshine docker-build-pocket-tts docker-build-qwen-tts docker-build-fish-speech docker-build-faster-qwen3-tts docker-build-qwen-asr docker-build-nemo docker-build-voxcpm docker-build-whisperx docker-build-ace-step docker-build-acestep-cpp docker-build-voxtral docker-build-mlx-distributed docker-build-trl docker-build-llama-cpp-quantization docker-build-tinygrad docker-build-kokoros docker-build-sam3-cpp docker-build-qwen3-tts-cpp docker-build-vibevoice-cpp docker-build-localvqe docker-build-insightface docker-build-speaker-recognition docker-build-sherpa-onnx docker-build-cloud-proxy
+docker-build-backends: docker-build-llama-cpp docker-build-ik-llama-cpp docker-build-turboquant docker-build-ds4 docker-build-rerankers docker-build-vllm docker-build-vllm-omni docker-build-sglang docker-build-transformers docker-build-outetts docker-build-diffusers docker-build-kokoro docker-build-faster-whisper docker-build-coqui docker-build-chatterbox docker-build-vibevoice docker-build-liquid-audio docker-build-moonshine docker-build-pocket-tts docker-build-qwen-tts docker-build-fish-speech docker-build-faster-qwen3-tts docker-build-qwen-asr docker-build-nemo docker-build-voxcpm docker-build-whisperx docker-build-ace-step docker-build-acestep-cpp docker-build-voxtral docker-build-mlx-distributed docker-build-trl docker-build-llama-cpp-quantization docker-build-tinygrad docker-build-kokoros docker-build-sam3-cpp docker-build-rfdetr-cpp docker-build-qwen3-tts-cpp docker-build-vibevoice-cpp docker-build-localvqe docker-build-insightface docker-build-speaker-recognition docker-build-sherpa-onnx docker-build-cloud-proxy
 
 ########################################################
 ### Mock Backend for E2E Tests
@@ -1232,6 +1313,41 @@ build-ui-test-server: build-mock-backend react-ui protogen-go
 test-ui-e2e: build-ui-test-server
 	cd core/http/react-ui && npm install && npx playwright install --with-deps chromium && npx playwright test
 
+## Fast Playwright e2e run used by the pre-commit hook on React UI changes.
+## Force-rebuilds the (non-instrumented) dist so the suite tests the working
+## tree — not a stale dist the `react-ui` skip-guard would leave — re-embeds
+## it into ui-test-server, and runs the specs. Uses the nix-provided browser
+## when PLAYWRIGHT_CHROMIUM_PATH is set (flake dev shell), else falls back to
+## downloading it as `test-ui-e2e` does.
+test-ui: build-mock-backend protogen-go
+	cd core/http/react-ui && bun install && bun run build
+	$(GOCMD) build -o tests/e2e-ui/ui-test-server ./tests/e2e-ui
+	cd core/http/react-ui && sh $(CURDIR)/scripts/ensure-playwright-browser.sh && bunx playwright test
+
+## React UI code coverage from the Playwright e2e suite. Builds an
+## istanbul-instrumented bundle (COVERAGE=true), re-embeds it into the
+## ui-test-server (the dist is //go:embed'ed at compile time), runs the
+## Playwright specs — which harvest window.__coverage__ via the coverage
+## fixture — and writes an nyc report to core/http/react-ui/coverage/.
+## Removes the instrumented dist afterwards so normal builds aren't served
+## instrumented assets.
+test-ui-coverage: build-mock-backend protogen-go
+	trap 'rm -rf "$(CURDIR)/core/http/react-ui/dist"' EXIT; \
+	( cd core/http/react-ui && bun install && bun run build:coverage ) && \
+	$(GOCMD) build -o tests/e2e-ui/ui-test-server ./tests/e2e-ui && \
+	( cd core/http/react-ui && rm -rf .nyc_output coverage && \
+	    sh $(CURDIR)/scripts/ensure-playwright-browser.sh && \
+	    bunx playwright test && bun run coverage:report )
+
+## UI coverage baseline (committed) and the strict gate that compares against
+## it — the React mirror of test-coverage-baseline / test-coverage-check.
+test-ui-coverage-baseline: test-ui-coverage
+	@node -e 'const fs=require("fs");process.stdout.write(String(JSON.parse(fs.readFileSync("core/http/react-ui/coverage/coverage-summary.json")).total.lines.pct))' > core/http/react-ui/coverage-baseline.txt
+	@echo "Saved UI coverage baseline: $$(cat core/http/react-ui/coverage-baseline.txt)% lines"
+
+test-ui-coverage-check: test-ui-coverage
+	sh $(CURDIR)/scripts/ui-coverage-check.sh core/http/react-ui/coverage/coverage-summary.json core/http/react-ui/coverage-baseline.txt
+
 test-ui-e2e-docker:
 	docker build -t localai-ui-e2e -f tests/e2e-ui/Dockerfile .
 	docker run --rm localai-ui-e2e

README.md

@@ -149,8 +149,10 @@ For more details, see the [Getting Started guide](https://localai.io/basics/gett
 
 ## Latest News
 
-- **April 2026**: [Voice recognition](https://github.com/mudler/LocalAI/pull/9500), [Face recognition, identification & liveness detection](https://github.com/mudler/LocalAI/pull/9480), [Ollama API compatibility](https://github.com/mudler/LocalAI/pull/9284), [Video generation in stable-diffusion.ggml](https://github.com/mudler/LocalAI/pull/9420), [Backend versioning with auto-upgrade](https://github.com/mudler/LocalAI/pull/9315), [Pin models & load-on-demand toggle](https://github.com/mudler/LocalAI/pull/9309), [Universal model importer](https://github.com/mudler/LocalAI/pull/9466), new backends: [sglang](https://github.com/mudler/LocalAI/pull/9359), [ik-llama-cpp](https://github.com/mudler/LocalAI/pull/9326), [TurboQuant](https://github.com/mudler/LocalAI/pull/9355), [sam.cpp](https://github.com/mudler/LocalAI/pull/9288), [Kokoros](https://github.com/mudler/LocalAI/pull/9212), [qwen3tts.cpp](https://github.com/mudler/LocalAI/pull/9316), [tinygrad multimodal](https://github.com/mudler/LocalAI/pull/9364)
-- **March 2026**: [Agent management](https://github.com/mudler/LocalAI/pull/8820), [New React UI](https://github.com/mudler/LocalAI/pull/8772), [WebRTC](https://github.com/mudler/LocalAI/pull/8790), [MLX-distributed via P2P and RDMA](https://github.com/mudler/LocalAI/pull/8801), [MCP Apps, MCP Client-side](https://github.com/mudler/LocalAI/pull/8947)
+- **May 2026**: **LocalAI 4.3.0** - `llama.cpp` [prompt cache on by default](https://github.com/mudler/LocalAI/pull/9925) (repeated system prompts collapse from minutes to seconds), [keyless cosign signing of backend OCI images](https://github.com/mudler/LocalAI/pull/9823), [per-API-key + per-user usage attribution](https://github.com/mudler/LocalAI/pull/9920), Distributed v3 with [per-request replica routing](https://github.com/mudler/LocalAI/pull/9968). [Release notes](https://github.com/mudler/LocalAI/releases/tag/v4.3.0)
+- **May 2026**: **LocalAI 4.2.0** - LocalAI sees and hears: [voice recognition](https://github.com/mudler/LocalAI/pull/9500), [face recognition + antispoofing liveness](https://github.com/mudler/LocalAI/pull/9480), speaker diarization. Plus [drop-in Ollama API](https://github.com/mudler/LocalAI/pull/9284), [video generation](https://github.com/mudler/LocalAI/pull/9420), redesigned UI with i18n + admin-configurable branding, vLLM at feature parity with llama.cpp, and 11 new backends. [Release notes](https://github.com/mudler/LocalAI/releases/tag/v4.2.0)
+- **April 2026**: **LocalAI 4.1.0** - LocalAI becomes a control tower: distributed cluster mode with VRAM-aware smart routing + autoscaling, multi-user platform with OIDC and API keys, per-user quotas with predictive analytics, in-UI fine-tuning with TRL (auto-export to GGUF), on-the-fly quantization backend, visual pipeline editor. [Release notes](https://github.com/mudler/LocalAI/releases/tag/v4.1.0)
+- **March 2026**: **LocalAI 4.0.0** - native agentic orchestration with the new [Agenthub](https://agenthub.localai.io) community hub, full React UI rewrite with Canvas mode, [MCP Apps + client-side](https://github.com/mudler/LocalAI/pull/8947) with tool streaming, [WebRTC realtime audio](https://github.com/mudler/LocalAI/pull/8790), [MLX-distributed](https://github.com/mudler/LocalAI/pull/8801). [Release notes](https://github.com/mudler/LocalAI/releases/tag/v4.0.0)
 - **February 2026**: [Realtime API for audio-to-audio with tool calling](https://github.com/mudler/LocalAI/pull/6245), [ACE-Step 1.5 support](https://github.com/mudler/LocalAI/pull/8396)
 - **January 2026**: **LocalAI 3.10.0** — Anthropic API support, Open Responses API, video & image generation (LTX-2), unified GPU backends, tool streaming, Moonshine, Pocket-TTS. [Release notes](https://github.com/mudler/LocalAI/releases/tag/v3.10.0)
 - **December 2025**: [Dynamic Memory Resource reclaimer](https://github.com/mudler/LocalAI/pull/7583), [Automatic multi-GPU model fitting (llama.cpp)](https://github.com/mudler/LocalAI/pull/7584), [Vibevoice backend](https://github.com/mudler/LocalAI/pull/7494)
@@ -236,11 +238,22 @@ A huge thank you to our generous sponsors who support this project covering CI e
   <a href="https://www.spectrocloud.com/" target="blank">
     <img height="200" src="https://github.com/user-attachments/assets/72eab1dd-8b93-4fc0-9ade-84db49f24962">
   </a>
+</p>
+
+<details>
+
+<summary>
+Past sponsors
+</summary>
+
+<p align="center">
   <a href="https://www.premai.io/" target="blank">
     <img height="200" src="https://github.com/mudler/LocalAI/assets/2420543/42e4ca83-661e-4f79-8e46-ae43689683d6"> <br>
   </a>
 </p>
 
+</details>
+
 ### Individual sponsors
 
 A special thanks to individual sponsors, a full list is on [GitHub](https://github.com/sponsors/mudler) and [buymeacoffee](https://buymeacoffee.com/mudler). Special shout out to [drikster80](https://github.com/drikster80) for being generous. Thank you everyone!

backend/cpp/ds4/Makefile

@@ -1,10 +1,10 @@
 # ds4 backend Makefile.
 #
-# Upstream pin lives below as DS4_VERSION?=f91c12b50a1448527c435c028bfc70d1b00f6c33
+# Upstream pin lives below as DS4_VERSION?=e8e8779b261c10f36ad6270ba732c8f0be5b62e3
 # (.github/bump_deps.sh) can find and update it - matches the
 # llama-cpp / ik-llama-cpp / turboquant convention.
 
-DS4_VERSION?=f91c12b50a1448527c435c028bfc70d1b00f6c33
+DS4_VERSION?=e8e8779b261c10f36ad6270ba732c8f0be5b62e3
 DS4_REPO?=https://github.com/antirez/ds4
 
 CURRENT_MAKEFILE_DIR := $(dir $(abspath $(lastword $(MAKEFILE_LIST))))

backend/cpp/ik-llama-cpp/Makefile

@@ -1,5 +1,5 @@
 
-IK_LLAMA_VERSION?=9f7ba245ab41e118f03aa8dd5134d18a81159d02
+IK_LLAMA_VERSION?=d2da6da05c73aeb658a3d1751f386c24e6963856
 LLAMA_REPO?=https://github.com/ikawrakow/ik_llama.cpp
 
 CMAKE_ARGS?=

backend/cpp/llama-cpp/Makefile

@@ -1,5 +1,5 @@
 
-LLAMA_VERSION?=549b9d84330c327e6791fa812a7d60c0cf63572e
+LLAMA_VERSION?=0d18aaa9d1a8af3df9abccd828e22eeaac7f840b
 LLAMA_REPO?=https://github.com/ggerganov/llama.cpp
 
 CMAKE_ARGS?=

backend/cpp/llama-cpp/grpc-server.cpp

@@ -570,9 +570,11 @@ static void params_parse(server_context& /*ctx_server*/, const backend::ModelOpt
     // kv_unified=false or cache_ram_mib=0, so flipping kv_unified above is
     // what actually unlocks it.
     params.cache_idle_slots = true;
-    // checkpoint_every_nt: create a context checkpoint every N tokens during
-    // prefill (-1 disables). Match upstream's default (8192).
-    params.checkpoint_every_nt = 8192;
+    // checkpoint_min_step: minimum spacing between context checkpoints in
+    // tokens (0 disables the minimum). Match upstream's default (256). This
+    // field was renamed from `checkpoint_every_nt` in llama.cpp; the semantics
+    // also shifted from a fixed cadence to a minimum spacing.
+    params.checkpoint_min_step = 256;
 
      // decode options. Options are in form optname:optvale, or if booleans only optname.
     for (int i = 0; i < request->options_size(); i++) {
@@ -746,14 +748,18 @@ static void params_parse(server_context& /*ctx_server*/, const backend::ModelOpt
                 params.cache_idle_slots = false;
             }
 
-        // --- prefill checkpoint cadence (upstream -cpent / --checkpoint-every-n-tokens) ---
-        // -1 disables checkpointing during prefill.
-        } else if (!strcmp(optname, "checkpoint_every_nt") || !strcmp(optname, "checkpoint_every_n_tokens")) {
+        // --- minimum context-checkpoint spacing (upstream -cms / --checkpoint-min-step) ---
+        // 0 disables the minimum-spacing gate. Old option names (`checkpoint_every_nt`,
+        // `checkpoint_every_n_tokens`) are kept as aliases for backward compatibility
+        // with existing user configs: upstream renamed the field and shifted its
+        // semantics from a fixed cadence to a minimum spacing.
+        } else if (!strcmp(optname, "checkpoint_min_step") || !strcmp(optname, "checkpoint_min_spacing") ||
+                   !strcmp(optname, "checkpoint_every_nt") || !strcmp(optname, "checkpoint_every_n_tokens")) {
             if (optval != NULL) {
                 try {
-                    params.checkpoint_every_nt = std::stoi(optval_str);
+                    params.checkpoint_min_step = std::stoi(optval_str);
                 } catch (const std::exception& e) {
-                    // If conversion fails, keep default value (8192)
+                    // If conversion fails, keep default value (256)
                 }
             }
 

backend/go/rfdetr-cpp/.gitignore

@@ -0,0 +1,7 @@
+sources/
+build*/
+package/
+librfdetrcpp*.so
+rfdetr-cpp
+test-models/
+test-data/

backend/go/rfdetr-cpp/CMakeLists.txt

@@ -0,0 +1,79 @@
+cmake_minimum_required(VERSION 3.18)
+project(librfdetrcpp LANGUAGES C CXX)
+
+set(CMAKE_POSITION_INDEPENDENT_CODE ON)
+set(CMAKE_CXX_STANDARD 17)
+set(CMAKE_CXX_STANDARD_REQUIRED ON)
+
+# Static-link ggml + rfdetr so the resulting .so has no runtime dependency on
+# extra ggml/rfdetr shared libraries — only on libc/libstdc++/libgomp, which
+# the LocalAI package step bundles into the docker image.
+set(BUILD_SHARED_LIBS OFF CACHE BOOL "Build static libraries" FORCE)
+
+# rfdetr.cpp build switches: skip CLI/tests, keep static lib.
+set(RFDETR_BUILD_CLI OFF CACHE BOOL "Disable rfdetr CLI" FORCE)
+set(RFDETR_BUILD_TESTS OFF CACHE BOOL "Disable rfdetr tests" FORCE)
+set(RFDETR_SHARED OFF CACHE BOOL "Build rfdetr as static lib" FORCE)
+
+# rt-detr.cpp's top-level CMakeLists invokes
+# `bash ${CMAKE_SOURCE_DIR}/scripts/apply_ggml_patches.sh` to apply its
+# in-tree ggml patches before descending into the submodule. When we
+# `add_subdirectory` it from a parent project, `CMAKE_SOURCE_DIR` points
+# at *our* directory, not theirs, so the script path resolves wrong.
+#
+# Run the patches script ourselves up front (it's idempotent — re-running
+# is a no-op once patches are applied) so the rt-detr.cpp configure step
+# is essentially a no-op for the patch hook.
+set(RFDETR_CPP_SRC ${CMAKE_CURRENT_SOURCE_DIR}/sources/rt-detr.cpp)
+if(EXISTS ${RFDETR_CPP_SRC}/scripts/apply_ggml_patches.sh)
+    execute_process(
+        COMMAND bash ${RFDETR_CPP_SRC}/scripts/apply_ggml_patches.sh
+        RESULT_VARIABLE _rfdetr_patch_result
+        OUTPUT_VARIABLE _rfdetr_patch_output
+        ERROR_VARIABLE  _rfdetr_patch_error
+        OUTPUT_STRIP_TRAILING_WHITESPACE
+        ERROR_STRIP_TRAILING_WHITESPACE)
+    if(NOT _rfdetr_patch_result EQUAL 0)
+        message(FATAL_ERROR
+            "Failed to apply ggml patches (exit ${_rfdetr_patch_result}):\n"
+            "stdout:\n${_rfdetr_patch_output}\n"
+            "stderr:\n${_rfdetr_patch_error}")
+    endif()
+    message(STATUS "${_rfdetr_patch_output}")
+endif()
+
+# Stage a shim 'scripts/apply_ggml_patches.sh' under our source dir so that
+# rt-detr.cpp's CMakeLists — which calls
+#   bash ${CMAKE_SOURCE_DIR}/scripts/apply_ggml_patches.sh
+# — finds an idempotent no-op there. The real patches have already been
+# applied above; this just satisfies the path lookup.
+file(MAKE_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}/scripts)
+file(WRITE ${CMAKE_CURRENT_SOURCE_DIR}/scripts/apply_ggml_patches.sh
+"#!/usr/bin/env bash
+# Shim - patches were already applied by the parent CMakeLists.
+exit 0
+")
+execute_process(COMMAND chmod +x ${CMAKE_CURRENT_SOURCE_DIR}/scripts/apply_ggml_patches.sh)
+
+add_subdirectory(./sources/rt-detr.cpp)
+
+# rfdetr.cpp's C-API symbols already live inside librfdetr (src/rfdetr_capi.cpp
+# is compiled into the lib). We re-export them via a MODULE library that
+# whole-archive-links rfdetr so the symbols are visible at dlopen time.
+add_library(rfdetrcpp MODULE
+    sources/rt-detr.cpp/src/rfdetr_capi.cpp)
+
+target_include_directories(rfdetrcpp PRIVATE
+    sources/rt-detr.cpp/include
+    sources/rt-detr.cpp/src
+    sources/rt-detr.cpp/third_party/stb
+)
+
+target_link_libraries(rfdetrcpp PRIVATE rfdetr ggml)
+
+if(CMAKE_CXX_COMPILER_ID MATCHES "GNU" AND CMAKE_CXX_COMPILER_VERSION VERSION_LESS 9.0)
+    target_link_libraries(rfdetrcpp PRIVATE stdc++fs)
+endif()
+
+set_property(TARGET rfdetrcpp PROPERTY CXX_STANDARD 17)
+set_target_properties(rfdetrcpp PROPERTIES LIBRARY_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR})

backend/go/rfdetr-cpp/Makefile

@@ -0,0 +1,135 @@
+CMAKE_ARGS?=
+BUILD_TYPE?=
+NATIVE?=false
+
+GOCMD?=go
+GO_TAGS?=
+JOBS?=$(shell nproc --ignore=1)
+
+# rt-detr.cpp (GitHub redirects the historical mudler/rt-detr.cpp to the new
+# mudler/rf-detr.cpp slug). Pin to a specific commit if you need a stable
+# build; leaving this on `master` always picks up the latest C-API surface
+# (incl. the per-detection accessor functions used by gorfdetrcpp.go).
+RFDETR_REPO?=https://github.com/mudler/rf-detr.cpp.git
+RFDETR_VERSION?=main
+
+ifeq ($(NATIVE),false)
+	CMAKE_ARGS+=-DGGML_NATIVE=OFF
+endif
+
+# Forward LocalAI's BUILD_TYPE to the matching ggml backend switch.
+ifeq ($(BUILD_TYPE),cublas)
+	CMAKE_ARGS+=-DGGML_CUDA=ON -DRFDETR_GGML_CUDA=ON
+else ifeq ($(BUILD_TYPE),openblas)
+	CMAKE_ARGS+=-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
+else ifeq ($(BUILD_TYPE),clblas)
+	CMAKE_ARGS+=-DGGML_CLBLAST=ON
+else ifeq ($(BUILD_TYPE),hipblas)
+	ROCM_HOME ?= /opt/rocm
+	ROCM_PATH ?= /opt/rocm
+	export CXX=$(ROCM_HOME)/llvm/bin/clang++
+	export CC=$(ROCM_HOME)/llvm/bin/clang
+	AMDGPU_TARGETS?=gfx908,gfx90a,gfx942,gfx950,gfx1030,gfx1100,gfx1101,gfx1102,gfx1200,gfx1201
+	CMAKE_ARGS+=-DGGML_HIPBLAS=ON -DRFDETR_GGML_HIPBLAS=ON -DAMDGPU_TARGETS=$(AMDGPU_TARGETS)
+else ifeq ($(BUILD_TYPE),vulkan)
+	CMAKE_ARGS+=-DGGML_VULKAN=ON -DRFDETR_GGML_VULKAN=ON
+else ifeq ($(OS),Darwin)
+	ifneq ($(BUILD_TYPE),metal)
+		CMAKE_ARGS+=-DGGML_METAL=OFF
+	else
+		CMAKE_ARGS+=-DGGML_METAL=ON
+		CMAKE_ARGS+=-DGGML_METAL_EMBED_LIBRARY=ON
+		CMAKE_ARGS+=-DRFDETR_GGML_METAL=ON
+	endif
+endif
+
+ifeq ($(BUILD_TYPE),sycl_f16)
+	CMAKE_ARGS+=-DGGML_SYCL=ON \
+		-DCMAKE_C_COMPILER=icx \
+		-DCMAKE_CXX_COMPILER=icpx \
+		-DGGML_SYCL_F16=ON
+endif
+
+ifeq ($(BUILD_TYPE),sycl_f32)
+	CMAKE_ARGS+=-DGGML_SYCL=ON \
+		-DCMAKE_C_COMPILER=icx \
+		-DCMAKE_CXX_COMPILER=icpx
+endif
+
+sources/rt-detr.cpp:
+	mkdir -p sources && \
+	git clone --recursive $(RFDETR_REPO) sources/rt-detr.cpp && \
+	cd sources/rt-detr.cpp && \
+	git checkout $(RFDETR_VERSION) && \
+	git submodule update --init --recursive --depth 1 --single-branch
+
+# Detect OS
+UNAME_S := $(shell uname -s)
+
+# Only build CPU variants on Linux
+ifeq ($(UNAME_S),Linux)
+	VARIANT_TARGETS = librfdetrcpp-avx.so librfdetrcpp-avx2.so librfdetrcpp-avx512.so librfdetrcpp-fallback.so
+else
+	# On non-Linux (e.g., Darwin), build only fallback variant
+	VARIANT_TARGETS = librfdetrcpp-fallback.so
+endif
+
+rfdetr-cpp: main.go gorfdetrcpp.go $(VARIANT_TARGETS)
+	CGO_ENABLED=0 $(GOCMD) build -tags "$(GO_TAGS)" -o rfdetr-cpp ./
+
+package: rfdetr-cpp
+	bash package.sh
+
+build: package
+
+clean: purge
+	rm -rf librfdetrcpp*.so rfdetr-cpp package sources
+
+purge:
+	rm -rf build*
+
+# Build all variants (Linux only)
+ifeq ($(UNAME_S),Linux)
+librfdetrcpp-avx.so: sources/rt-detr.cpp
+	rm -rfv build-$@
+	$(info ${GREEN}I rfdetr-cpp build info:avx${RESET})
+	SO_TARGET=$@ CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_BMI2=off" $(MAKE) librfdetrcpp-custom
+	rm -rfv build-$@
+
+librfdetrcpp-avx2.so: sources/rt-detr.cpp
+	rm -rfv build-$@
+	$(info ${GREEN}I rfdetr-cpp build info:avx2${RESET})
+	SO_TARGET=$@ CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=on -DGGML_AVX512=off -DGGML_FMA=on -DGGML_F16C=on -DGGML_BMI2=on" $(MAKE) librfdetrcpp-custom
+	rm -rfv build-$@
+
+librfdetrcpp-avx512.so: sources/rt-detr.cpp
+	rm -rfv build-$@
+	$(info ${GREEN}I rfdetr-cpp build info:avx512${RESET})
+	SO_TARGET=$@ CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=on -DGGML_AVX512=on -DGGML_FMA=on -DGGML_F16C=on -DGGML_BMI2=on" $(MAKE) librfdetrcpp-custom
+	rm -rfv build-$@
+endif
+
+# Build fallback variant (all platforms)
+librfdetrcpp-fallback.so: sources/rt-detr.cpp
+	rm -rfv build-$@
+	$(info ${GREEN}I rfdetr-cpp build info:fallback${RESET})
+	SO_TARGET=$@ CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=off -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_BMI2=off" $(MAKE) librfdetrcpp-custom
+	rm -rfv build-$@
+
+librfdetrcpp-custom: CMakeLists.txt
+	mkdir -p build-$(SO_TARGET) && \
+	cd build-$(SO_TARGET) && \
+	cmake .. $(CMAKE_ARGS) && \
+	cmake --build . --config Release -j$(JOBS) && \
+	cd .. && \
+	mv build-$(SO_TARGET)/librfdetrcpp.so ./$(SO_TARGET)
+
+all: rfdetr-cpp package
+
+# `test` is invoked by the top-level Makefile's `test-extra` target. It builds
+# the backend binary + the fallback shared library (needed for dlopen at
+# runtime), then runs test.sh which downloads the test models + COCO image
+# and exercises the gRPC Load/Detect wire path via the Go smoke test in
+# main_test.go for both the detection and segmentation models.
+test: rfdetr-cpp librfdetrcpp-fallback.so
+	bash test.sh

backend/go/rfdetr-cpp/gorfdetrcpp.go

@@ -0,0 +1,195 @@
+package main
+
+// gorfdetrcpp.go - gRPC handlers (Load, Detect) for the rfdetr-cpp backend.
+//
+// Embeds base.SingleThread to default unimplemented RPCs to "not supported"
+// while we only implement object detection.
+
+import (
+	"encoding/base64"
+	"fmt"
+	"os"
+	"path/filepath"
+	"strconv"
+	"unsafe"
+
+	"github.com/mudler/LocalAI/pkg/grpc/base"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
+)
+
+// Default upper bound on detections returned per image. RF-DETR's decoder
+// queries are limited to a few hundred; 300 is a safe ceiling.
+const defaultTopK = 300
+
+// rfdetr_handle_t is a uintptr-typed opaque handle (see include/rfdetr_capi.h).
+var (
+	// rfdetr_capi_load(const char* model_path, int n_threads, rfdetr_handle_t* out_handle) -> int
+	CapiLoad func(modelPath string, nThreads int32, outHandle *uintptr) int32
+	// rfdetr_capi_unload(rfdetr_handle_t handle) -> int
+	CapiUnload func(handle uintptr) int32
+	// rfdetr_capi_detect_path(handle, image_path, threshold, top_k, out_json) -> int
+	CapiDetectPath func(handle uintptr, imagePath string, threshold float32, topK uint32, outJSON *uintptr) int32
+	// rfdetr_capi_detect_buffer(handle, bytes, len, threshold, top_k, out_json) -> int
+	CapiDetectBuffer func(handle uintptr, bytes uintptr, length uintptr, threshold float32, topK uint32, outJSON *uintptr) int32
+	// rfdetr_capi_free_string(char* s)
+	CapiFreeString func(s uintptr)
+	// rfdetr_capi_get_n_detections(handle) -> int
+	CapiGetNDetections func(handle uintptr) int32
+	// rfdetr_capi_get_detection_class_id(handle, i) -> int
+	CapiGetDetectionClassID func(handle uintptr, i int32) int32
+	// rfdetr_capi_get_detection_box(handle, i, out_xyxy[4]) -> int (0 on success)
+	CapiGetDetectionBox func(handle uintptr, i int32, outXYXY uintptr) int32
+	// rfdetr_capi_get_detection_score(handle, i) -> float
+	CapiGetDetectionScore func(handle uintptr, i int32) float32
+	// rfdetr_capi_get_detection_class_name(handle, i, buf, buf_size) -> int (needed/written; two-call sizing)
+	CapiGetDetectionClassName func(handle uintptr, i int32, buf uintptr, bufSize int32) int32
+	// rfdetr_capi_get_detection_mask_png(handle, i, buf, buf_size) -> int (needed/written; 0 means no mask)
+	CapiGetDetectionMaskPNG func(handle uintptr, i int32, buf uintptr, bufSize int32) int32
+)
+
+type RFDetrCpp struct {
+	base.SingleThread
+	handle uintptr
+}
+
+// Load loads the GGUF model at opts.ModelFile (joined with opts.ModelPath if relative)
+// and stores the handle for later Detect calls.
+func (r *RFDetrCpp) Load(opts *pb.ModelOptions) error {
+	modelFile := opts.ModelFile
+	if modelFile == "" {
+		modelFile = opts.Model
+	}
+	if modelFile == "" {
+		return fmt.Errorf("rfdetr-cpp: ModelFile is empty")
+	}
+
+	var modelPath string
+	if filepath.IsAbs(modelFile) {
+		modelPath = modelFile
+	} else {
+		modelPath = filepath.Join(opts.ModelPath, modelFile)
+	}
+
+	if _, err := os.Stat(modelPath); err != nil {
+		return fmt.Errorf("rfdetr-cpp: model file not found: %s: %w", modelPath, err)
+	}
+
+	threads := opts.Threads
+	if threads <= 0 {
+		threads = 4
+	}
+
+	// Release previous model if any (re-Load).
+	if r.handle != 0 {
+		CapiUnload(r.handle)
+		r.handle = 0
+	}
+
+	var h uintptr
+	rc := CapiLoad(modelPath, threads, &h)
+	if rc != 0 || h == 0 {
+		return fmt.Errorf("rfdetr-cpp: rfdetr_capi_load failed with rc=%d for %s", rc, modelPath)
+	}
+	r.handle = h
+	return nil
+}
+
+// Detect runs object detection on the base64-encoded image in opts.Src at
+// opts.Threshold, returning one pb.Detection per result. Seg models also
+// populate Detection.Mask with PNG-encoded mask bytes.
+func (r *RFDetrCpp) Detect(opts *pb.DetectOptions) (pb.DetectResponse, error) {
+	if r.handle == 0 {
+		return pb.DetectResponse{}, fmt.Errorf("rfdetr-cpp: model not loaded")
+	}
+
+	// Decode base64 image and write to temp file.
+	imgData, err := base64.StdEncoding.DecodeString(opts.Src)
+	if err != nil {
+		return pb.DetectResponse{}, fmt.Errorf("rfdetr-cpp: failed to decode base64 image: %w", err)
+	}
+
+	tmpFile, err := os.CreateTemp("", "rfdetr-*.img")
+	if err != nil {
+		return pb.DetectResponse{}, fmt.Errorf("rfdetr-cpp: failed to create temp file: %w", err)
+	}
+	defer func() { _ = os.Remove(tmpFile.Name()) }()
+
+	if _, err := tmpFile.Write(imgData); err != nil {
+		_ = tmpFile.Close()
+		return pb.DetectResponse{}, fmt.Errorf("rfdetr-cpp: failed to write temp file: %w", err)
+	}
+	if err := tmpFile.Close(); err != nil {
+		return pb.DetectResponse{}, fmt.Errorf("rfdetr-cpp: failed to close temp file: %w", err)
+	}
+
+	threshold := opts.Threshold
+	if threshold <= 0 {
+		threshold = 0.5
+	}
+
+	// JSON output from detect_path is unused: we read structured detections via
+	// the accessor functions. Still must free the returned string.
+	var jsonPtr uintptr
+	rc := CapiDetectPath(r.handle, tmpFile.Name(), threshold, uint32(defaultTopK), &jsonPtr)
+	if jsonPtr != 0 {
+		CapiFreeString(jsonPtr)
+	}
+	if rc != 0 {
+		return pb.DetectResponse{}, fmt.Errorf("rfdetr-cpp: detect failed with rc=%d", rc)
+	}
+
+	n := CapiGetNDetections(r.handle)
+	if n < 0 {
+		return pb.DetectResponse{}, fmt.Errorf("rfdetr-cpp: invalid n_detections=%d", n)
+	}
+
+	detections := make([]*pb.Detection, 0, n)
+	for i := int32(0); i < n; i++ {
+		var bbox [4]float32 // x1, y1, x2, y2
+		if rc := CapiGetDetectionBox(r.handle, i, uintptr(unsafe.Pointer(&bbox[0]))); rc != 0 {
+			continue
+		}
+		cid := CapiGetDetectionClassID(r.handle, i)
+		score := CapiGetDetectionScore(r.handle, i)
+
+		// Two-call sizing for class_name.
+		var className string
+		nameSize := CapiGetDetectionClassName(r.handle, i, 0, 0)
+		if nameSize > 1 {
+			buf := make([]byte, nameSize)
+			written := CapiGetDetectionClassName(r.handle, i, uintptr(unsafe.Pointer(&buf[0])), nameSize)
+			// `written` is the same number (needed bytes including NUL); strip NUL.
+			if written > 0 && int(written) <= len(buf) {
+				className = string(buf[:written-1])
+			} else {
+				className = string(buf[:len(buf)-1])
+			}
+		}
+		if className == "" {
+			className = strconv.Itoa(int(cid))
+		}
+
+		// Two-call sizing for mask PNG (returns 0 when no mask).
+		var mask []byte
+		maskSize := CapiGetDetectionMaskPNG(r.handle, i, 0, 0)
+		if maskSize > 0 {
+			maskBuf := make([]byte, maskSize)
+			CapiGetDetectionMaskPNG(r.handle, i, uintptr(unsafe.Pointer(&maskBuf[0])), maskSize)
+			mask = maskBuf
+		}
+
+		detections = append(detections, &pb.Detection{
+			X:          bbox[0],
+			Y:          bbox[1],
+			Width:      bbox[2] - bbox[0],
+			Height:     bbox[3] - bbox[1],
+			Confidence: score,
+			ClassName:  className,
+			Mask:       mask,
+		})
+	}
+
+	return pb.DetectResponse{
+		Detections: detections,
+	}, nil
+}

backend/go/rfdetr-cpp/main.go

@@ -0,0 +1,61 @@
+package main
+
+// main.go - entry point for the rfdetr-cpp gRPC backend.
+//
+// Dlopens librfdetrcpp-<variant>.so via purego at the path in
+// RFDETR_LIBRARY (set by run.sh based on /proc/cpuinfo), registers the
+// rfdetr_capi_* C ABI symbols, then starts the gRPC server.
+
+import (
+	"flag"
+	"os"
+
+	"github.com/ebitengine/purego"
+	grpc "github.com/mudler/LocalAI/pkg/grpc"
+)
+
+var (
+	addr = flag.String("addr", "localhost:50051", "the address to connect to")
+)
+
+type LibFuncs struct {
+	FuncPtr any
+	Name    string
+}
+
+func main() {
+	// Get library name from environment variable, default to fallback
+	libName := os.Getenv("RFDETR_LIBRARY")
+	if libName == "" {
+		libName = "./librfdetrcpp-fallback.so"
+	}
+
+	rfdetrLib, err := purego.Dlopen(libName, purego.RTLD_NOW|purego.RTLD_GLOBAL)
+	if err != nil {
+		panic(err)
+	}
+
+	libFuncs := []LibFuncs{
+		{&CapiLoad, "rfdetr_capi_load"},
+		{&CapiUnload, "rfdetr_capi_unload"},
+		{&CapiDetectPath, "rfdetr_capi_detect_path"},
+		{&CapiDetectBuffer, "rfdetr_capi_detect_buffer"},
+		{&CapiFreeString, "rfdetr_capi_free_string"},
+		{&CapiGetNDetections, "rfdetr_capi_get_n_detections"},
+		{&CapiGetDetectionClassID, "rfdetr_capi_get_detection_class_id"},
+		{&CapiGetDetectionBox, "rfdetr_capi_get_detection_box"},
+		{&CapiGetDetectionScore, "rfdetr_capi_get_detection_score"},
+		{&CapiGetDetectionClassName, "rfdetr_capi_get_detection_class_name"},
+		{&CapiGetDetectionMaskPNG, "rfdetr_capi_get_detection_mask_png"},
+	}
+
+	for _, lf := range libFuncs {
+		purego.RegisterLibFunc(lf.FuncPtr, rfdetrLib, lf.Name)
+	}
+
+	flag.Parse()
+
+	if err := grpc.StartServer(*addr, &RFDetrCpp{}); err != nil {
+		panic(err)
+	}
+}

backend/go/rfdetr-cpp/main_test.go

@@ -0,0 +1,220 @@
+package main
+
+// main_test.go - end-to-end smoke test for the rfdetr-cpp gRPC backend.
+//
+// Spawns the compiled rfdetr-cpp binary on a free local port, dials it via
+// gRPC, and exercises LoadModel + Detect against the test fixtures
+// downloaded by test.sh. Two scenarios:
+//
+//   1. detection — loads rfdetr-nano-q8_0.gguf and asserts at least one
+//      detection comes back with a non-empty class name and a bounding box
+//      of non-zero size.
+//   2. segmentation — loads rfdetr-seg-nano-q8_0.gguf and additionally
+//      asserts that at least one detection carries a PNG-encoded mask blob
+//      (verified by PNG magic bytes).
+//
+// Both specs Skip cleanly if their fixtures are missing so the test target
+// stays usable on a fresh checkout where models haven't been downloaded.
+
+import (
+	"context"
+	"encoding/base64"
+	"fmt"
+	"net"
+	"os"
+	"os/exec"
+	"path/filepath"
+	"testing"
+	"time"
+
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
+	. "github.com/onsi/ginkgo/v2"
+	. "github.com/onsi/gomega"
+	"google.golang.org/grpc"
+	"google.golang.org/grpc/credentials/insecure"
+)
+
+func TestRFDetrCpp(t *testing.T) {
+	RegisterFailHandler(Fail)
+	RunSpecs(t, "rfdetr-cpp backend smoke suite")
+}
+
+// freePort grabs an ephemeral TCP port and immediately releases it so the
+// spawned backend can bind to it. There is a tiny TOCTOU window here but in
+// practice it's adequate for a smoke test on a quiet runner.
+func freePort() int {
+	l, err := net.Listen("tcp", "127.0.0.1:0")
+	Expect(err).ToNot(HaveOccurred(), "freePort listen")
+	port := l.Addr().(*net.TCPAddr).Port
+	Expect(l.Close()).To(Succeed())
+	return port
+}
+
+// startBackend spawns the rfdetr-cpp binary on the given port and waits
+// until it accepts TCP connections (up to 10s). The returned cleanup func
+// kills the process and reaps it.
+func startBackend(port int) func() {
+	binary, err := filepath.Abs("./rfdetr-cpp")
+	Expect(err).ToNot(HaveOccurred())
+	if _, err := os.Stat(binary); err != nil {
+		Skip(fmt.Sprintf("backend binary not built: %s (run `make rfdetr-cpp` first)", binary))
+	}
+
+	libPath, err := filepath.Abs("./librfdetrcpp-fallback.so")
+	Expect(err).ToNot(HaveOccurred())
+	if _, err := os.Stat(libPath); err != nil {
+		Skip(fmt.Sprintf("fallback library not built: %s (run `make librfdetrcpp-fallback.so` first)", libPath))
+	}
+
+	addr := fmt.Sprintf("127.0.0.1:%d", port)
+	cmd := exec.Command(binary, "--addr", addr)
+	cmd.Env = append(os.Environ(), "RFDETR_LIBRARY="+libPath)
+	cmd.Stdout = os.Stderr
+	cmd.Stderr = os.Stderr
+	Expect(cmd.Start()).To(Succeed())
+
+	cleanup := func() {
+		if cmd.Process != nil {
+			_ = cmd.Process.Kill()
+			_, _ = cmd.Process.Wait()
+		}
+	}
+
+	deadline := time.Now().Add(10 * time.Second)
+	for time.Now().Before(deadline) {
+		c, err := net.DialTimeout("tcp", addr, 200*time.Millisecond)
+		if err == nil {
+			_ = c.Close()
+			return cleanup
+		}
+		time.Sleep(200 * time.Millisecond)
+	}
+
+	cleanup()
+	Fail(fmt.Sprintf("backend did not become ready on %s within 10s", addr))
+	return func() {}
+}
+
+// loadTestImage reads the COCO test image downloaded by test.sh and returns
+// its base64-encoded content (the wire format accepted by the Detect RPC).
+func loadTestImage() string {
+	imgPath, err := filepath.Abs("test-data/test.jpg")
+	Expect(err).ToNot(HaveOccurred())
+	imgBytes, err := os.ReadFile(imgPath)
+	if err != nil {
+		Skip(fmt.Sprintf("test image not present: %s (run test.sh first)", imgPath))
+	}
+	return base64.StdEncoding.EncodeToString(imgBytes)
+}
+
+// dialBackend opens a gRPC client connection to the spawned backend.
+func dialBackend(port int) (pb.BackendClient, func()) {
+	addr := fmt.Sprintf("127.0.0.1:%d", port)
+	conn, err := grpc.NewClient(addr, grpc.WithTransportCredentials(insecure.NewCredentials()))
+	Expect(err).ToNot(HaveOccurred())
+	return pb.NewBackendClient(conn), func() { _ = conn.Close() }
+}
+
+// modelPathOrSkip resolves a model file under ./test-models/ and Skip()s
+// the current spec if it's missing.
+func modelPathOrSkip(name string) string {
+	modelDir, err := filepath.Abs("test-models")
+	Expect(err).ToNot(HaveOccurred())
+	modelPath := filepath.Join(modelDir, name)
+	if _, err := os.Stat(modelPath); err != nil {
+		Skip(fmt.Sprintf("model not present: %s (run test.sh first)", modelPath))
+	}
+	return modelPath
+}
+
+var _ = Describe("rfdetr-cpp backend", func() {
+	It("runs object detection against a known-good COCO image", func() {
+		modelPath := modelPathOrSkip("rfdetr-nano-q8_0.gguf")
+		imgB64 := loadTestImage()
+
+		port := freePort()
+		cleanup := startBackend(port)
+		defer cleanup()
+
+		client, closeConn := dialBackend(port)
+		defer closeConn()
+
+		ctx, cancel := context.WithTimeout(context.Background(), 60*time.Second)
+		defer cancel()
+
+		loadResp, err := client.LoadModel(ctx, &pb.ModelOptions{
+			Model:     "rfdetr-nano-q8_0.gguf",
+			ModelFile: modelPath,
+			Threads:   2,
+		})
+		Expect(err).ToNot(HaveOccurred(), "LoadModel")
+		Expect(loadResp.GetSuccess()).To(BeTrue(), "LoadModel reported failure: %s", loadResp.GetMessage())
+
+		detResp, err := client.Detect(ctx, &pb.DetectOptions{
+			Src:       imgB64,
+			Threshold: 0.5,
+		})
+		Expect(err).ToNot(HaveOccurred(), "Detect")
+		Expect(detResp.GetDetections()).ToNot(BeEmpty(), "no detections returned on a known-good COCO image")
+
+		_, _ = fmt.Fprintf(GinkgoWriter, "detection OK: %d detections\n", len(detResp.GetDetections()))
+		for i, d := range detResp.GetDetections() {
+			Expect(d.GetClassName()).ToNot(BeEmpty(), "detection %d has empty class_name", i)
+			Expect(d.GetConfidence()).To(BeNumerically(">=", float32(0.5)),
+				"detection %d below threshold", i)
+			Expect(d.GetWidth()).To(BeNumerically(">", float32(0)),
+				"detection %d has non-positive width", i)
+			Expect(d.GetHeight()).To(BeNumerically(">", float32(0)),
+				"detection %d has non-positive height", i)
+		}
+	})
+
+	It("runs segmentation and returns PNG-encoded masks", func() {
+		modelPath := modelPathOrSkip("rfdetr-seg-nano-q8_0.gguf")
+		imgB64 := loadTestImage()
+
+		port := freePort()
+		cleanup := startBackend(port)
+		defer cleanup()
+
+		client, closeConn := dialBackend(port)
+		defer closeConn()
+
+		ctx, cancel := context.WithTimeout(context.Background(), 60*time.Second)
+		defer cancel()
+
+		loadResp, err := client.LoadModel(ctx, &pb.ModelOptions{
+			Model:     "rfdetr-seg-nano-q8_0.gguf",
+			ModelFile: modelPath,
+			Threads:   2,
+		})
+		Expect(err).ToNot(HaveOccurred(), "LoadModel")
+		Expect(loadResp.GetSuccess()).To(BeTrue(), "LoadModel reported failure: %s", loadResp.GetMessage())
+
+		detResp, err := client.Detect(ctx, &pb.DetectOptions{
+			Src:       imgB64,
+			Threshold: 0.5,
+		})
+		Expect(err).ToNot(HaveOccurred(), "Detect")
+		Expect(detResp.GetDetections()).ToNot(BeEmpty(), "no detections returned from segmentation model")
+
+		haveMask := false
+		for i, d := range detResp.GetDetections() {
+			m := d.GetMask()
+			if len(m) == 0 {
+				continue
+			}
+			haveMask = true
+			// Verify PNG magic: 89 50 4E 47 ("\x89PNG").
+			Expect(len(m)).To(BeNumerically(">=", 4), "detection %d mask too short", i)
+			Expect([]byte{m[0], m[1], m[2], m[3]}).To(Equal([]byte{0x89, 'P', 'N', 'G'}),
+				"detection %d mask is not a PNG", i)
+		}
+		Expect(haveMask).To(BeTrue(),
+			"segmentation model returned %d detections but none carried a mask",
+			len(detResp.GetDetections()))
+
+		_, _ = fmt.Fprintf(GinkgoWriter, "segmentation OK: %d detections, at least one with PNG mask\n",
+			len(detResp.GetDetections()))
+	})
+})

backend/go/rfdetr-cpp/package.sh

@@ -0,0 +1,59 @@
+#!/bin/bash
+
+# Script to copy the appropriate libraries based on architecture
+
+set -e
+
+CURDIR=$(dirname "$(realpath $0)")
+REPO_ROOT="${CURDIR}/../../.."
+
+# Create lib directory
+mkdir -p $CURDIR/package/lib
+
+cp -avf $CURDIR/librfdetrcpp-*.so $CURDIR/package/
+cp -avf $CURDIR/rfdetr-cpp $CURDIR/package/
+cp -fv $CURDIR/run.sh $CURDIR/package/
+
+# Detect architecture and copy appropriate libraries
+if [ -f "/lib64/ld-linux-x86-64.so.2" ]; then
+    # x86_64 architecture
+    echo "Detected x86_64 architecture, copying x86_64 libraries..."
+    cp -arfLv /lib64/ld-linux-x86-64.so.2 $CURDIR/package/lib/ld.so
+    cp -arfLv /lib/x86_64-linux-gnu/libc.so.6 $CURDIR/package/lib/libc.so.6
+    cp -arfLv /lib/x86_64-linux-gnu/libgcc_s.so.1 $CURDIR/package/lib/libgcc_s.so.1
+    cp -arfLv /lib/x86_64-linux-gnu/libstdc++.so.6 $CURDIR/package/lib/libstdc++.so.6
+    cp -arfLv /lib/x86_64-linux-gnu/libm.so.6 $CURDIR/package/lib/libm.so.6
+    cp -arfLv /lib/x86_64-linux-gnu/libgomp.so.1 $CURDIR/package/lib/libgomp.so.1
+    cp -arfLv /lib/x86_64-linux-gnu/libdl.so.2 $CURDIR/package/lib/libdl.so.2
+    cp -arfLv /lib/x86_64-linux-gnu/librt.so.1 $CURDIR/package/lib/librt.so.1
+    cp -arfLv /lib/x86_64-linux-gnu/libpthread.so.0 $CURDIR/package/lib/libpthread.so.0
+elif [ -f "/lib/ld-linux-aarch64.so.1" ]; then
+    # ARM64 architecture
+    echo "Detected ARM64 architecture, copying ARM64 libraries..."
+    cp -arfLv /lib/ld-linux-aarch64.so.1 $CURDIR/package/lib/ld.so
+    cp -arfLv /lib/aarch64-linux-gnu/libc.so.6 $CURDIR/package/lib/libc.so.6
+    cp -arfLv /lib/aarch64-linux-gnu/libgcc_s.so.1 $CURDIR/package/lib/libgcc_s.so.1
+    cp -arfLv /lib/aarch64-linux-gnu/libstdc++.so.6 $CURDIR/package/lib/libstdc++.so.6
+    cp -arfLv /lib/aarch64-linux-gnu/libm.so.6 $CURDIR/package/lib/libm.so.6
+    cp -arfLv /lib/aarch64-linux-gnu/libgomp.so.1 $CURDIR/package/lib/libgomp.so.1
+    cp -arfLv /lib/aarch64-linux-gnu/libdl.so.2 $CURDIR/package/lib/libdl.so.2
+    cp -arfLv /lib/aarch64-linux-gnu/librt.so.1 $CURDIR/package/lib/librt.so.1
+    cp -arfLv /lib/aarch64-linux-gnu/libpthread.so.0 $CURDIR/package/lib/libpthread.so.0
+elif [ $(uname -s) = "Darwin" ]; then
+    echo "Detected Darwin"
+else
+    echo "Error: Could not detect architecture"
+    exit 1
+fi
+
+# Package GPU libraries based on BUILD_TYPE
+GPU_LIB_SCRIPT="${REPO_ROOT}/scripts/build/package-gpu-libs.sh"
+if [ -f "$GPU_LIB_SCRIPT" ]; then
+    echo "Packaging GPU libraries for BUILD_TYPE=${BUILD_TYPE:-cpu}..."
+    source "$GPU_LIB_SCRIPT" "$CURDIR/package/lib"
+    package_gpu_libs
+fi
+
+echo "Packaging completed successfully"
+ls -liah $CURDIR/package/
+ls -liah $CURDIR/package/lib/

backend/go/rfdetr-cpp/run.sh

@@ -0,0 +1,52 @@
+#!/bin/bash
+set -ex
+
+# Get the absolute current dir where the script is located
+CURDIR=$(dirname "$(realpath $0)")
+
+cd /
+
+echo "CPU info:"
+if [ "$(uname)" != "Darwin" ]; then
+	grep -e "model\sname" /proc/cpuinfo | head -1
+	grep -e "flags" /proc/cpuinfo | head -1
+fi
+
+LIBRARY="$CURDIR/librfdetrcpp-fallback.so"
+
+if [ "$(uname)" != "Darwin" ]; then
+	if grep -q -e "\savx\s" /proc/cpuinfo ; then
+		echo "CPU:    AVX    found OK"
+		if [ -e $CURDIR/librfdetrcpp-avx.so ]; then
+			LIBRARY="$CURDIR/librfdetrcpp-avx.so"
+		fi
+	fi
+
+	if grep -q -e "\savx2\s" /proc/cpuinfo ; then
+		echo "CPU:    AVX2   found OK"
+		if [ -e $CURDIR/librfdetrcpp-avx2.so ]; then
+			LIBRARY="$CURDIR/librfdetrcpp-avx2.so"
+		fi
+	fi
+
+	# Check avx 512
+	if grep -q -e "\savx512f\s" /proc/cpuinfo ; then
+		echo "CPU:    AVX512F found OK"
+		if [ -e $CURDIR/librfdetrcpp-avx512.so ]; then
+			LIBRARY="$CURDIR/librfdetrcpp-avx512.so"
+		fi
+	fi
+fi
+
+export LD_LIBRARY_PATH=$CURDIR/lib:$LD_LIBRARY_PATH
+export RFDETR_LIBRARY=$LIBRARY
+
+# If there is a lib/ld.so, use it
+if [ -f $CURDIR/lib/ld.so ]; then
+	echo "Using lib/ld.so"
+	echo "Using library: $LIBRARY"
+	exec $CURDIR/lib/ld.so $CURDIR/rfdetr-cpp "$@"
+fi
+
+echo "Using library: $LIBRARY"
+exec $CURDIR/rfdetr-cpp "$@"

backend/go/rfdetr-cpp/test.sh

@@ -0,0 +1,55 @@
+#!/bin/bash
+set -e
+
+CURDIR=$(dirname "$(realpath $0)")
+
+echo "Running rfdetr-cpp backend tests..."
+
+# Test models from the mudler/rfdetr-cpp-* HuggingFace repos. Both the
+# detection (nano-q8_0, ~36 MB) and segmentation (seg-nano-q8_0, ~40 MB)
+# variants are downloaded so the Go smoke test exercises both code paths.
+RFDETR_MODEL_DIR="${RFDETR_MODEL_DIR:-$CURDIR/test-models}"
+
+RFDETR_DET_FILE="${RFDETR_DET_FILE:-rfdetr-nano-q8_0.gguf}"
+RFDETR_DET_URL="${RFDETR_DET_URL:-https://huggingface.co/mudler/rfdetr-cpp-nano/resolve/main/rfdetr-nano-q8_0.gguf}"
+
+RFDETR_SEG_FILE="${RFDETR_SEG_FILE:-rfdetr-seg-nano-q8_0.gguf}"
+RFDETR_SEG_URL="${RFDETR_SEG_URL:-https://huggingface.co/mudler/rfdetr-cpp-seg-nano/resolve/main/rfdetr-seg-nano-q8_0.gguf}"
+
+mkdir -p "$RFDETR_MODEL_DIR"
+
+if [ ! -f "$RFDETR_MODEL_DIR/$RFDETR_DET_FILE" ]; then
+    echo "Downloading rfdetr nano-q8_0 detection model..."
+    curl -L -o "$RFDETR_MODEL_DIR/$RFDETR_DET_FILE" "$RFDETR_DET_URL" --progress-bar
+fi
+
+if [ ! -f "$RFDETR_MODEL_DIR/$RFDETR_SEG_FILE" ]; then
+    echo "Downloading rfdetr seg-nano-q8_0 segmentation model..."
+    curl -L -o "$RFDETR_MODEL_DIR/$RFDETR_SEG_FILE" "$RFDETR_SEG_URL" --progress-bar
+fi
+
+# Use a real COCO test image from the upstream rf-detr.cpp repo (~46 KB).
+# A synthetic 64x64 red PNG was too synthetic to elicit detections from a
+# real model — the smoke test would always trivially pass with zero
+# detections.
+TEST_IMAGE_DIR="$CURDIR/test-data"
+TEST_IMAGE_FILE="$TEST_IMAGE_DIR/test.jpg"
+TEST_IMAGE_URL="${TEST_IMAGE_URL:-https://raw.githubusercontent.com/mudler/rf-detr.cpp/main/tests/fixtures/ci/test_image.jpg}"
+
+mkdir -p "$TEST_IMAGE_DIR"
+if [ ! -f "$TEST_IMAGE_FILE" ]; then
+    echo "Downloading COCO test image..."
+    curl -L -o "$TEST_IMAGE_FILE" "$TEST_IMAGE_URL" --progress-bar
+fi
+
+echo "rfdetr-cpp test setup complete."
+echo "  detection model:    $RFDETR_MODEL_DIR/$RFDETR_DET_FILE"
+echo "  segmentation model: $RFDETR_MODEL_DIR/$RFDETR_SEG_FILE"
+echo "  test image:         $TEST_IMAGE_FILE"
+
+# Run the Go smoke test: spawns the backend binary on a free port, calls
+# LoadModel + Detect via gRPC for both detection and segmentation models.
+echo ""
+echo "Running Go smoke test..."
+cd "$CURDIR"
+go test -v -timeout 5m ./...

backend/go/stablediffusion-ggml/Makefile

@@ -8,7 +8,7 @@ JOBS?=$(shell nproc --ignore=1)
 
 # stablediffusion.cpp (ggml)
 STABLEDIFFUSION_GGML_REPO?=https://github.com/leejet/stable-diffusion.cpp
-STABLEDIFFUSION_GGML_VERSION?=a397e03488cc27e1a42da646b82dfce9f50741c0
+STABLEDIFFUSION_GGML_VERSION?=92dc7268fc4ffb0c0cc0bd52dfcefea91326e797
 
 CMAKE_ARGS+=-DGGML_MAX_NAME=128
 

backend/go/stablediffusion-ggml/cpp/gosd.cpp

@@ -27,6 +27,7 @@
 #include <stdlib.h>
 #include <regex>
 #include <errno.h>
+#include <inttypes.h>
 #include <signal.h>
 #include <unistd.h>
 #include <sys/wait.h>
@@ -1075,9 +1076,71 @@ static uint8_t* load_and_resize_image(const char* path, int target_width, int ta
     return buf;
 }
 
+// Write sd.cpp's audio buffer to a temp WAV file (IEEE float, interleaved).
+// sd_audio_t.data is planar (all channel 0 samples, then channel 1, etc.) — we
+// interleave on the fly so ffmpeg's standard wav demuxer can read it directly.
+// Returns 0 on success and fills wav_path (must be at least 64 bytes).
+static int write_planar_float_wav(const sd_audio_t* a, char* wav_path, size_t wav_path_sz) {
+    if (!a || !a->data || a->sample_count == 0 || a->channels == 0 || a->sample_rate == 0) {
+        return -1;
+    }
+
+    snprintf(wav_path, wav_path_sz, "/tmp/gosd-audio-XXXXXX.wav");
+    int fd = mkstemps(wav_path, 4);
+    if (fd < 0) { perror("mkstemps wav"); return -1; }
+    FILE* f = fdopen(fd, "wb");
+    if (!f) { perror("fdopen wav"); close(fd); return -1; }
+
+    uint64_t frames = a->sample_count;
+    uint32_t channels = a->channels;
+    uint32_t sample_rate = a->sample_rate;
+    uint64_t total_samples64 = frames * (uint64_t)channels;
+    uint64_t data_bytes64 = total_samples64 * sizeof(float);
+    if (data_bytes64 > 0xFFFFFFFFull - 44) {
+        fprintf(stderr, "audio too large for 32-bit WAV (%" PRIu64 " bytes)\n", data_bytes64);
+        fclose(f);
+        unlink(wav_path);
+        return -1;
+    }
+    uint32_t data_bytes = (uint32_t)data_bytes64;
+    uint32_t riff_size = 36 + data_bytes;
+    uint16_t fmt_code = 3;                // WAVE_FORMAT_IEEE_FLOAT
+    uint16_t bits_per_sample = 32;
+    uint16_t block_align = (uint16_t)(channels * sizeof(float));
+    uint32_t byte_rate = sample_rate * block_align;
+    uint16_t ch16 = (uint16_t)channels;
+    uint32_t fmt_size = 16;
+
+    fwrite("RIFF", 1, 4, f);
+    fwrite(&riff_size, 4, 1, f);
+    fwrite("WAVEfmt ", 1, 8, f);
+    fwrite(&fmt_size, 4, 1, f);
+    fwrite(&fmt_code, 2, 1, f);
+    fwrite(&ch16, 2, 1, f);
+    fwrite(&sample_rate, 4, 1, f);
+    fwrite(&byte_rate, 4, 1, f);
+    fwrite(&block_align, 2, 1, f);
+    fwrite(&bits_per_sample, 2, 1, f);
+    fwrite("data", 1, 4, f);
+    fwrite(&data_bytes, 4, 1, f);
+
+    // Interleave planar [ch0_samples..., ch1_samples...] → [ch0_s0, ch1_s0, ...]
+    for (uint64_t s = 0; s < frames; s++) {
+        for (uint32_t c = 0; c < channels; c++) {
+            float v = a->data[(size_t)c * frames + s];
+            fwrite(&v, sizeof(float), 1, f);
+        }
+    }
+    fclose(f);
+    return 0;
+}
+
 // Pipe raw RGB/RGBA frames to ffmpeg stdin and let it produce an MP4 at dst.
-// Uses fork+execvp to avoid shell interpretation of dst.
-static int ffmpeg_mux_raw_to_mp4(sd_image_t* frames, int num_frames, int fps, const char* dst) {
+// Uses fork+execvp to avoid shell interpretation of dst. When `audio` is
+// non-null, the audio waveform is staged to a temp WAV and added as a second
+// ffmpeg input so the final MP4 contains both video and AAC audio.
+static int ffmpeg_mux_raw_to_mp4(sd_image_t* frames, int num_frames, int fps,
+                                  const sd_audio_t* audio, const char* dst) {
     if (num_frames <= 0 || !frames || !frames[0].data) {
         fprintf(stderr, "ffmpeg_mux: empty frames\n");
         return 1;
@@ -1092,38 +1155,87 @@ static int ffmpeg_mux_raw_to_mp4(sd_image_t* frames, int num_frames, int fps, co
     snprintf(size_str, sizeof(size_str), "%dx%d", width, height);
     snprintf(fps_str, sizeof(fps_str), "%d", fps);
 
+    // Optional audio: write a temp WAV file if the model produced audio.
+    char wav_path[64] = {0};
+    bool have_audio = false;
+    if (audio && audio->data && audio->sample_count > 0 && audio->channels > 0 && audio->sample_rate > 0) {
+        if (write_planar_float_wav(audio, wav_path, sizeof(wav_path)) == 0) {
+            have_audio = true;
+            fprintf(stderr, "ffmpeg_mux: audio %u Hz × %u ch × %" PRIu64 " frames → %s\n",
+                    audio->sample_rate, audio->channels, audio->sample_count, wav_path);
+        } else {
+            fprintf(stderr, "ffmpeg_mux: failed to stage audio; producing silent video\n");
+        }
+    }
+
     int pipefd[2];
-    if (pipe(pipefd) != 0) { perror("pipe"); return 1; }
+    if (pipe(pipefd) != 0) {
+        perror("pipe");
+        if (have_audio) unlink(wav_path);
+        return 1;
+    }
 
     pid_t pid = fork();
-    if (pid < 0) { perror("fork"); close(pipefd[0]); close(pipefd[1]); return 1; }
+    if (pid < 0) {
+        perror("fork");
+        close(pipefd[0]); close(pipefd[1]);
+        if (have_audio) unlink(wav_path);
+        return 1;
+    }
 
     if (pid == 0) {
         // child
         close(pipefd[1]);
         if (dup2(pipefd[0], STDIN_FILENO) < 0) { perror("dup2"); _exit(127); }
         close(pipefd[0]);
-        std::vector<char*> argv = {
-            const_cast<char*>("ffmpeg"),
-            const_cast<char*>("-y"),
-            const_cast<char*>("-hide_banner"),
-            const_cast<char*>("-loglevel"), const_cast<char*>("warning"),
-            const_cast<char*>("-f"), const_cast<char*>("rawvideo"),
-            const_cast<char*>("-pix_fmt"), const_cast<char*>(pix_fmt_in),
-            const_cast<char*>("-s"), size_str,
-            const_cast<char*>("-framerate"), fps_str,
-            const_cast<char*>("-i"), const_cast<char*>("-"),
-            const_cast<char*>("-c:v"), const_cast<char*>("libx264"),
-            const_cast<char*>("-pix_fmt"), const_cast<char*>("yuv420p"),
-            const_cast<char*>("-movflags"), const_cast<char*>("+faststart"),
-            // Force MP4 container. Distributed LocalAI hands us a staging
-            // path (e.g. /staging/localai-output-NNN.tmp) with a non-standard
-            // extension; relying on filename suffix makes ffmpeg bail with
-            // "Unable to choose an output format".
-            const_cast<char*>("-f"), const_cast<char*>("mp4"),
-            const_cast<char*>(dst),
-            nullptr
-        };
+        std::vector<char*> argv;
+        argv.push_back(const_cast<char*>("ffmpeg"));
+        argv.push_back(const_cast<char*>("-y"));
+        argv.push_back(const_cast<char*>("-hide_banner"));
+        argv.push_back(const_cast<char*>("-loglevel"));
+        argv.push_back(const_cast<char*>("warning"));
+        // Input 0: raw video from stdin
+        argv.push_back(const_cast<char*>("-f"));
+        argv.push_back(const_cast<char*>("rawvideo"));
+        argv.push_back(const_cast<char*>("-pix_fmt"));
+        argv.push_back(const_cast<char*>(pix_fmt_in));
+        argv.push_back(const_cast<char*>("-s"));
+        argv.push_back(size_str);
+        argv.push_back(const_cast<char*>("-framerate"));
+        argv.push_back(fps_str);
+        argv.push_back(const_cast<char*>("-i"));
+        argv.push_back(const_cast<char*>("-"));
+        // Input 1: optional audio WAV
+        if (have_audio) {
+            argv.push_back(const_cast<char*>("-i"));
+            argv.push_back(wav_path);
+            argv.push_back(const_cast<char*>("-map"));
+            argv.push_back(const_cast<char*>("0:v:0"));
+            argv.push_back(const_cast<char*>("-map"));
+            argv.push_back(const_cast<char*>("1:a:0"));
+            argv.push_back(const_cast<char*>("-c:a"));
+            argv.push_back(const_cast<char*>("aac"));
+            argv.push_back(const_cast<char*>("-b:a"));
+            argv.push_back(const_cast<char*>("192k"));
+            // -shortest so the final clip ends with the shorter of the two
+            // streams — guards against an audio buffer that overshoots the
+            // video duration (or vice versa) on certain LTX variants.
+            argv.push_back(const_cast<char*>("-shortest"));
+        }
+        argv.push_back(const_cast<char*>("-c:v"));
+        argv.push_back(const_cast<char*>("libx264"));
+        argv.push_back(const_cast<char*>("-pix_fmt"));
+        argv.push_back(const_cast<char*>("yuv420p"));
+        argv.push_back(const_cast<char*>("-movflags"));
+        argv.push_back(const_cast<char*>("+faststart"));
+        // Force MP4 container. Distributed LocalAI hands us a staging
+        // path (e.g. /staging/localai-output-NNN.tmp) with a non-standard
+        // extension; relying on filename suffix makes ffmpeg bail with
+        // "Unable to choose an output format".
+        argv.push_back(const_cast<char*>("-f"));
+        argv.push_back(const_cast<char*>("mp4"));
+        argv.push_back(const_cast<char*>(dst));
+        argv.push_back(nullptr);
         execvp(argv[0], argv.data());
         perror("execvp ffmpeg");
         _exit(127);
@@ -1148,6 +1260,7 @@ static int ffmpeg_mux_raw_to_mp4(sd_image_t* frames, int num_frames, int fps, co
                 close(pipefd[1]);
                 int status;
                 waitpid(pid, &status, 0);
+                if (have_audio) unlink(wav_path);
                 return 1;
             }
             p += n;
@@ -1158,8 +1271,13 @@ static int ffmpeg_mux_raw_to_mp4(sd_image_t* frames, int num_frames, int fps, co
 
     int status = 0;
     while (waitpid(pid, &status, 0) < 0) {
-        if (errno != EINTR) { perror("waitpid"); return 1; }
+        if (errno != EINTR) {
+            perror("waitpid");
+            if (have_audio) unlink(wav_path);
+            return 1;
+        }
     }
+    if (have_audio) unlink(wav_path);
     if (!WIFEXITED(status) || WEXITSTATUS(status) != 0) {
         fprintf(stderr, "ffmpeg exited with status %d\n", status);
         return 1;
@@ -1234,7 +1352,7 @@ int gen_video(sd_vid_gen_params_t *p, int steps, char *dst, float cfg_scale, int
 
     fprintf(stderr, "Generated %d frames, muxing to %s via ffmpeg\n", num_frames_out, dst);
 
-    int rc = ffmpeg_mux_raw_to_mp4(frames, num_frames_out, fps, dst);
+    int rc = ffmpeg_mux_raw_to_mp4(frames, num_frames_out, fps, audio, dst);
 
     for (int i = 0; i < num_frames_out; i++) {
         if (frames[i].data) free(frames[i].data);

backend/go/whisper/Makefile

@@ -8,7 +8,7 @@ JOBS?=$(shell nproc --ignore=1)
 
 # whisper.cpp version
 WHISPER_REPO?=https://github.com/ggml-org/whisper.cpp
-WHISPER_CPP_VERSION?=0ccd896f5b882628e1c077f9769735ef4ce52860
+WHISPER_CPP_VERSION?=27101c01dcac1676e2b6422256233cd0f1f9ae28
 SO_TARGET?=libgowhisper.so
 
 CMAKE_ARGS+=-DBUILD_SHARED_LIBS=OFF

backend/index.yaml

@@ -253,6 +253,34 @@
     nvidia-l4t-cuda-13: "cuda13-nvidia-l4t-arm64-sam3-cpp"
     intel: "intel-sycl-f32-sam3-cpp"
     vulkan: "vulkan-sam3-cpp"
+- &rfdetrcpp
+  name: "rfdetr-cpp"
+  alias: "rfdetr-cpp"
+  license: apache-2.0
+  description: |
+    Native RF-DETR object detection and instance segmentation in C/C++
+    using GGML. Loads pre-built GGUF weights from the mudler/rfdetr-cpp-*
+    family (Nano/Small/Base/Medium/Large + SegNano/SegSmall/SegMedium)
+    and returns bounding boxes, class labels, confidence scores, and
+    (for segmentation variants) PNG-encoded per-detection masks.
+  urls:
+    - https://github.com/mudler/rf-detr.cpp
+  tags:
+    - object-detection
+    - image-segmentation
+    - rfdetr
+    - gpu
+    - cpu
+  capabilities:
+    default: "cpu-rfdetr-cpp"
+    nvidia: "cuda12-rfdetr-cpp"
+    nvidia-cuda-12: "cuda12-rfdetr-cpp"
+    nvidia-cuda-13: "cuda13-rfdetr-cpp"
+    nvidia-l4t: "nvidia-l4t-arm64-rfdetr-cpp"
+    nvidia-l4t-cuda-12: "nvidia-l4t-arm64-rfdetr-cpp"
+    nvidia-l4t-cuda-13: "cuda13-nvidia-l4t-arm64-rfdetr-cpp"
+    intel: "intel-sycl-f32-rfdetr-cpp"
+    vulkan: "vulkan-rfdetr-cpp"
 - &vllm
   name: "vllm"
   license: apache-2.0
@@ -2349,6 +2377,99 @@
   uri: "quay.io/go-skynet/local-ai-backends:master-gpu-vulkan-sam3-cpp"
   mirrors:
     - localai/localai-backends:master-gpu-vulkan-sam3-cpp
+## rfdetr-cpp
+- !!merge <<: *rfdetrcpp
+  name: "rfdetr-cpp-development"
+  capabilities:
+    default: "cpu-rfdetr-cpp-development"
+    nvidia: "cuda12-rfdetr-cpp-development"
+    nvidia-cuda-12: "cuda12-rfdetr-cpp-development"
+    nvidia-cuda-13: "cuda13-rfdetr-cpp-development"
+    nvidia-l4t: "nvidia-l4t-arm64-rfdetr-cpp-development"
+    nvidia-l4t-cuda-12: "nvidia-l4t-arm64-rfdetr-cpp-development"
+    nvidia-l4t-cuda-13: "cuda13-nvidia-l4t-arm64-rfdetr-cpp-development"
+    intel: "intel-sycl-f32-rfdetr-cpp-development"
+    vulkan: "vulkan-rfdetr-cpp-development"
+- !!merge <<: *rfdetrcpp
+  name: "cpu-rfdetr-cpp"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-cpu-rfdetr-cpp"
+  mirrors:
+    - localai/localai-backends:latest-cpu-rfdetr-cpp
+- !!merge <<: *rfdetrcpp
+  name: "cpu-rfdetr-cpp-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-cpu-rfdetr-cpp"
+  mirrors:
+    - localai/localai-backends:master-cpu-rfdetr-cpp
+- !!merge <<: *rfdetrcpp
+  name: "cuda12-rfdetr-cpp"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-nvidia-cuda-12-rfdetr-cpp"
+  mirrors:
+    - localai/localai-backends:latest-gpu-nvidia-cuda-12-rfdetr-cpp
+- !!merge <<: *rfdetrcpp
+  name: "cuda12-rfdetr-cpp-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-cuda-12-rfdetr-cpp"
+  mirrors:
+    - localai/localai-backends:master-gpu-nvidia-cuda-12-rfdetr-cpp
+- !!merge <<: *rfdetrcpp
+  name: "cuda13-rfdetr-cpp"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-nvidia-cuda-13-rfdetr-cpp"
+  mirrors:
+    - localai/localai-backends:latest-gpu-nvidia-cuda-13-rfdetr-cpp
+- !!merge <<: *rfdetrcpp
+  name: "cuda13-rfdetr-cpp-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-cuda-13-rfdetr-cpp"
+  mirrors:
+    - localai/localai-backends:master-gpu-nvidia-cuda-13-rfdetr-cpp
+- !!merge <<: *rfdetrcpp
+  name: "nvidia-l4t-arm64-rfdetr-cpp"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-nvidia-l4t-arm64-rfdetr-cpp"
+  mirrors:
+    - localai/localai-backends:latest-nvidia-l4t-arm64-rfdetr-cpp
+- !!merge <<: *rfdetrcpp
+  name: "nvidia-l4t-arm64-rfdetr-cpp-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-nvidia-l4t-arm64-rfdetr-cpp"
+  mirrors:
+    - localai/localai-backends:master-nvidia-l4t-arm64-rfdetr-cpp
+- !!merge <<: *rfdetrcpp
+  name: "cuda13-nvidia-l4t-arm64-rfdetr-cpp"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-nvidia-l4t-cuda-13-arm64-rfdetr-cpp"
+  mirrors:
+    - localai/localai-backends:latest-nvidia-l4t-cuda-13-arm64-rfdetr-cpp
+- !!merge <<: *rfdetrcpp
+  name: "cuda13-nvidia-l4t-arm64-rfdetr-cpp-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-nvidia-l4t-cuda-13-arm64-rfdetr-cpp"
+  mirrors:
+    - localai/localai-backends:master-nvidia-l4t-cuda-13-arm64-rfdetr-cpp
+- !!merge <<: *rfdetrcpp
+  name: "intel-sycl-f32-rfdetr-cpp"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-sycl-f32-rfdetr-cpp"
+  mirrors:
+    - localai/localai-backends:latest-gpu-intel-sycl-f32-rfdetr-cpp
+- !!merge <<: *rfdetrcpp
+  name: "intel-sycl-f32-rfdetr-cpp-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-sycl-f32-rfdetr-cpp"
+  mirrors:
+    - localai/localai-backends:master-gpu-intel-sycl-f32-rfdetr-cpp
+- !!merge <<: *rfdetrcpp
+  name: "intel-sycl-f16-rfdetr-cpp"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-sycl-f16-rfdetr-cpp"
+  mirrors:
+    - localai/localai-backends:latest-gpu-intel-sycl-f16-rfdetr-cpp
+- !!merge <<: *rfdetrcpp
+  name: "intel-sycl-f16-rfdetr-cpp-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-sycl-f16-rfdetr-cpp"
+  mirrors:
+    - localai/localai-backends:master-gpu-intel-sycl-f16-rfdetr-cpp
+- !!merge <<: *rfdetrcpp
+  name: "vulkan-rfdetr-cpp"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-vulkan-rfdetr-cpp"
+  mirrors:
+    - localai/localai-backends:latest-gpu-vulkan-rfdetr-cpp
+- !!merge <<: *rfdetrcpp
+  name: "vulkan-rfdetr-cpp-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-vulkan-rfdetr-cpp"
+  mirrors:
+    - localai/localai-backends:master-gpu-vulkan-rfdetr-cpp
 ## Rerankers
 - !!merge <<: *rerankers
   name: "rerankers-development"

backend/python/nemo/backend.py

@@ -99,8 +99,15 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
             if not results or len(results) == 0:
                 return backend_pb2.TranscriptResult(segments=[], text="")
 
-            # Get the transcript text from the first result
-            text = results[0]
+            # Get the transcript text from the first result.
+            # CTC models return List[str], TDT/RNNT models return List[Hypothesis]
+            # where the actual text lives in Hypothesis.text.
+            result = results[0]
+            if isinstance(result, str):
+                text = result
+            else:
+                text = getattr(result, 'text', None) or ""
+
             if text:
                 # Create a single segment with the full transcription
                 result_segments.append(backend_pb2.TranscriptSegment(

backend/python/qwen-asr/backend.py

@@ -134,6 +134,156 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
 
         return backend_pb2.Result(message="Model loaded successfully", success=True)
 
+    @staticmethod
+    def _is_cjk(ch):
+        """Check if a character is CJK (Chinese/Japanese/Korean)."""
+        cp = ord(ch)
+        return (
+            0x4E00 <= cp <= 0x9FFF      # CJK Unified Ideographs
+            or 0x3400 <= cp <= 0x4DBF   # Extension A
+            or 0x20000 <= cp <= 0x2A6DF # Extension B
+            or 0xF900 <= cp <= 0xFAFF   # Compatibility Ideographs
+            or 0x3040 <= cp <= 0x309F   # Hiragana
+            or 0x30A0 <= cp <= 0x30FF   # Katakana
+            or 0xAC00 <= cp <= 0xD7AF   # Hangul Syllables
+        )
+
+    @staticmethod
+    def _is_punct(ch):
+        """Check if a character is punctuation (no space before it)."""
+        import unicodedata
+        cat = unicodedata.category(ch)
+        return cat.startswith('P')
+
+    @staticmethod
+    def _smart_join(tokens):
+        """Join tokens with spaces for non-CJK text, without spaces for CJK.
+
+        Rules:
+          - Between two CJK chars: no space
+          - Between two non-CJK tokens: space
+          - Before punctuation: no space
+          - CJK adjacent to non-CJK: no space (smooth mixed-text transition)
+        """
+        if not tokens:
+            return ""
+        result = [tokens[0]]
+        for token in tokens[1:]:
+            if not token:
+                continue
+            prev_ch = result[-1][-1] if result[-1] else ''
+            curr_ch = token[0]
+            # Punctuation never gets a space before it
+            if BackendServicer._is_punct(curr_ch):
+                result.append(token)
+            # CJK to CJK: no space
+            elif prev_ch and BackendServicer._is_cjk(prev_ch) and BackendServicer._is_cjk(curr_ch):
+                result.append(token)
+            # CJK adjacent to non-CJK or vice versa: no space
+            elif prev_ch and (BackendServicer._is_cjk(prev_ch) or BackendServicer._is_cjk(curr_ch)):
+                result.append(token)
+            # Both non-CJK (Latin, Cyrillic, etc.): add space
+            else:
+                result.append(' ' + token)
+        return "".join(result)
+
+    @staticmethod
+    def _extract_word_info(ts):
+        """Return (start_sec, end_sec, text) from a ForcedAlignItem or tuple."""
+        if hasattr(ts, 'start_time') and hasattr(ts, 'end_time') and hasattr(ts, 'text'):
+            return (
+                float(ts.start_time) if ts.start_time is not None else 0.0,
+                float(ts.end_time) if ts.end_time is not None else 0.0,
+                str(ts.text) if ts.text else "",
+            )
+        elif isinstance(ts, (list, tuple)) and len(ts) >= 3:
+            return (
+                float(ts[0]) if ts[0] is not None else 0.0,
+                float(ts[1]) if ts[1] is not None else 0.0,
+                ts[2] if len(ts) > 2 and ts[2] is not None else "",
+            )
+        return (0.0, 0.0, "")
+
+    @staticmethod
+    def _compute_gap_threshold(time_stamps):
+        """Compute a gap threshold for sentence boundary detection.
+
+        Uses the median inter-item gap multiplied by a factor, with a
+        minimum floor of 0.3s.  Returns 0 if there are too few items.
+        """
+        if len(time_stamps) < 2:
+            return 0.0
+        gaps = []
+        for i in range(1, len(time_stamps)):
+            prev_s, prev_e, _ = BackendServicer._extract_word_info(time_stamps[i - 1])
+            curr_s, _, _ = BackendServicer._extract_word_info(time_stamps[i])
+            gaps.append(curr_s - prev_e)
+        if not gaps:
+            return 0.0
+        gaps.sort()
+        median = gaps[len(gaps) // 2]
+        # threshold = max(median * 4, 0.3s)
+        return max(median * 4, 0.3)
+
+    def _build_segments(self, time_stamps, granularity):
+        """Build TranscriptSegment list from forced-aligner output.
+
+        granularity:
+          - "word": one segment per aligned item (character / word)
+          - "segment" (default): merge consecutive items, splitting at
+            time gaps that exceed a dynamic threshold (sentence boundaries).
+        """
+        if granularity == "word":
+            result = []
+            for idx, ts in enumerate(time_stamps):
+                s, e, t = self._extract_word_info(ts)
+                result.append(backend_pb2.TranscriptSegment(
+                    id=idx,
+                    start=int(s * 1_000_000_000),
+                    end=int(e * 1_000_000_000),
+                    text=t,
+                ))
+            return result
+
+        # segment mode — merge at time-gap boundaries
+        threshold = self._compute_gap_threshold(time_stamps)
+        result = []
+        buf_text = []
+        buf_start = None
+        buf_end = 0.0
+        prev_end = None
+
+        for ts in time_stamps:
+            s, e, t = self._extract_word_info(ts)
+
+            # Detect sentence boundary via time gap
+            if prev_end is not None and (s - prev_end) >= threshold and buf_text:
+                result.append(backend_pb2.TranscriptSegment(
+                    id=len(result),
+                    start=int(buf_start * 1_000_000_000),
+                    end=int(buf_end * 1_000_000_000),
+                    text=self._smart_join(buf_text),
+                ))
+                buf_text = []
+                buf_start = None
+
+            if buf_start is None:
+                buf_start = s
+            buf_text.append(t)
+            buf_end = e
+            prev_end = e
+
+        # flush remaining
+        if buf_text and buf_start is not None:
+            result.append(backend_pb2.TranscriptSegment(
+                id=len(result),
+                start=int(buf_start * 1_000_000_000),
+                end=int(buf_end * 1_000_000_000),
+                text=self._smart_join(buf_text),
+            ))
+
+        return result
+
     def AudioTranscription(self, request, context):
         result_segments = []
         text = ""
@@ -147,11 +297,22 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
             if request.language and request.language.strip():
                 language = request.language.strip()
 
-            context = ""
+            ctx = ""
             if request.prompt and request.prompt.strip():
-                context = request.prompt.strip()
+                ctx = request.prompt.strip()
 
-            results = self.model.transcribe(audio=audio_path, language=language, context=context)
+            # Determine requested granularity (default: segment)
+            granularities = list(request.timestamp_granularities) if request.timestamp_granularities else []
+            granularity = "word" if "word" in granularities else "segment"
+
+            has_aligner = getattr(self.model, 'forced_aligner', None) is not None
+            try:
+                results = self.model.transcribe(
+                    audio=audio_path, language=language, context=ctx,
+                    return_time_stamps=has_aligner,
+                )
+            except TypeError:
+                results = self.model.transcribe(audio=audio_path, language=language, context=ctx)
 
             if not results:
                 return backend_pb2.TranscriptResult(segments=[], text="")
@@ -160,17 +321,7 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
             text = r.text or ""
 
             if getattr(r, 'time_stamps', None) and len(r.time_stamps) > 0:
-                for idx, ts in enumerate(r.time_stamps):
-                    start_ms = 0
-                    end_ms = 0
-                    seg_text = text
-                    if isinstance(ts, (list, tuple)) and len(ts) >= 3:
-                        start_ms = int(float(ts[0]) * 1000) if ts[0] is not None else 0
-                        end_ms = int(float(ts[1]) * 1000) if ts[1] is not None else 0
-                        seg_text = ts[2] if len(ts) > 2 and ts[2] is not None else ""
-                    result_segments.append(backend_pb2.TranscriptSegment(
-                        id=idx, start=start_ms, end=end_ms, text=seg_text
-                    ))
+                result_segments = self._build_segments(r.time_stamps, granularity)
             else:
                 if text:
                     result_segments.append(backend_pb2.TranscriptSegment(

backend/python/transformers/requirements-cpu.txt

@@ -2,9 +2,9 @@ torch==2.7.1
 llvmlite==0.43.0
 numba==0.60.0
 accelerate
-transformers>=5.8.1
+transformers>=5.9.0
 bitsandbytes
-sentence-transformers==5.5.0
+sentence-transformers==5.5.1
 diffusers
 soundfile
-protobuf==6.33.5
+protobuf==7.35.0

backend/python/transformers/requirements-cublas12.txt

@@ -2,9 +2,9 @@ torch==2.7.1
 accelerate
 llvmlite==0.43.0
 numba==0.60.0
-transformers>=5.8.1
+transformers>=5.9.0
 bitsandbytes
-sentence-transformers==5.5.0
+sentence-transformers==5.5.1
 diffusers
 soundfile
-protobuf==6.33.5
+protobuf==7.35.0

backend/python/transformers/requirements-cublas13.txt

@@ -2,9 +2,9 @@
 torch==2.9.0
 llvmlite==0.43.0
 numba==0.60.0
-transformers>=5.8.1
+transformers>=5.9.0
 bitsandbytes
-sentence-transformers==5.5.0
+sentence-transformers==5.5.1
 diffusers
 soundfile
-protobuf==6.33.5
+protobuf==7.35.0

backend/python/transformers/requirements-hipblas.txt

@@ -1,11 +1,11 @@
 --extra-index-url https://download.pytorch.org/whl/rocm7.0
 torch==2.10.0+rocm7.0
 accelerate
-transformers>=5.8.1
+transformers>=5.9.0
 llvmlite==0.43.0
 numba==0.60.0
 bitsandbytes
-sentence-transformers==5.5.0
+sentence-transformers==5.5.1
 diffusers
 soundfile
-protobuf==6.33.5
+protobuf==7.35.0

backend/python/transformers/requirements-intel.txt

@@ -3,9 +3,9 @@ torch
 optimum[openvino]
 llvmlite==0.43.0
 numba==0.60.0
-transformers>=5.8.1
+transformers>=5.9.0
 bitsandbytes
-sentence-transformers==5.5.0
+sentence-transformers==5.5.1
 diffusers
 soundfile
-protobuf==6.33.5
+protobuf==7.35.0

backend/python/transformers/requirements-mps.txt

@@ -2,9 +2,9 @@ torch==2.7.1
 llvmlite==0.43.0
 numba==0.60.0
 accelerate
-transformers>=5.8.1
+transformers>=5.9.0
 bitsandbytes
-sentence-transformers==5.5.0
+sentence-transformers==5.5.1
 diffusers
 soundfile
-protobuf==6.33.5
+protobuf==7.35.0

backend/python/transformers/requirements.txt

@@ -1,5 +1,5 @@
 grpcio==1.80.0
-protobuf==6.33.5
+protobuf==7.35.0
 certifi
 setuptools
 scipy==1.15.1

core/gallery/importers/rfdetr.go

@@ -31,6 +31,29 @@ func repoLooksLikeRFDetr(repo string) bool {
 	return strings.Contains(lower, "rf-detr") || strings.Contains(lower, "rfdetr")
 }
 
+// repoHasGGUF inspects the HuggingFace file list (when available) to decide
+// whether the repo ships RF-DETR weights in ggml/GGUF form — the native
+// rfdetr-cpp backend's input format. Mudler's rfdetr-cpp-* repos
+// (mudler/rfdetr-cpp-nano, mudler/rfdetr-cpp-base, ...) match.
+func repoHasGGUF(details Details) bool {
+	if details.HuggingFace == nil {
+		return false
+	}
+	for _, f := range details.HuggingFace.Files {
+		if strings.HasSuffix(strings.ToLower(f.Path), ".gguf") {
+			return true
+		}
+	}
+	return false
+}
+
+func repoLooksLikeRFDetrCpp(repo string) bool {
+	lower := strings.ToLower(repo)
+	return strings.Contains(lower, "rfdetr-cpp") || strings.Contains(lower, "rf-detr-cpp") ||
+		strings.Contains(lower, "rfdetr.cpp") || strings.Contains(lower, "rt-detr.cpp") ||
+		strings.Contains(lower, "rf-detr.cpp")
+}
+
 func (i *RFDetrImporter) Match(details Details) bool {
 	preferences, err := details.Preferences.MarshalJSON()
 	if err != nil {
@@ -43,7 +66,7 @@ func (i *RFDetrImporter) Match(details Details) bool {
 		}
 	}
 
-	if b, ok := preferencesMap["backend"].(string); ok && b == "rfdetr" {
+	if b, ok := preferencesMap["backend"].(string); ok && (b == "rfdetr" || b == "rfdetr-cpp") {
 		return true
 	}
 
@@ -99,10 +122,28 @@ func (i *RFDetrImporter) Import(details Details) (gallery.ModelConfig, error) {
 		model = owner + "/" + repo
 	}
 
+	// Route GGUF-bearing repos (mudler/rfdetr-cpp-*) to the native
+	// rfdetr-cpp backend; HF transformer repos keep the Python rfdetr
+	// backend. Explicit preferences.backend overrides the heuristic.
+	backend := "rfdetr"
+	if b, ok := preferencesMap["backend"].(string); ok && b != "" {
+		backend = b
+	} else if repoHasGGUF(details) {
+		backend = "rfdetr-cpp"
+	} else if details.HuggingFace != nil {
+		repoName := details.HuggingFace.ModelID
+		if idx := strings.Index(repoName, "/"); idx >= 0 {
+			repoName = repoName[idx+1:]
+		}
+		if repoLooksLikeRFDetrCpp(repoName) {
+			backend = "rfdetr-cpp"
+		}
+	}
+
 	modelConfig := config.ModelConfig{
 		Name:                name,
 		Description:         description,
-		Backend:             "rfdetr",
+		Backend:             backend,
 		KnownUsecaseStrings: []string{"detection"},
 		PredictionOptions: schema.PredictionOptions{
 			BasicModelRequest: schema.BasicModelRequest{Model: model},

core/gallery/importers/rfdetr_test.go

@@ -129,4 +129,125 @@ var _ = Describe("RFDetrImporter", func() {
 			Expect(modelConfig.Description).To(Equal("Custom"))
 		})
 	})
+
+	// Table-driven coverage of the GGUF auto-routing path between the
+	// Python rfdetr backend (HF transformer repos) and the native
+	// rfdetr-cpp backend (GGUF repos like mudler/rfdetr-cpp-*).
+	//
+	// Cases are kept offline-deterministic by injecting Details directly
+	// rather than going through DiscoverModelConfig (which would hit live HF).
+	// The live HF cross-check lives in its own Context below.
+	Context("GGUF auto-routing (offline)", func() {
+		hfFile := func(path string) hfapi.ModelFile {
+			return hfapi.ModelFile{Path: path}
+		}
+
+		type tc struct {
+			name           string
+			uri            string
+			modelID        string
+			files          []hfapi.ModelFile
+			prefs          string
+			expectBackend  string // expected `backend:` line content
+			rejectBackends []string
+		}
+
+		entries := []tc{
+			{
+				name:          "GGUF repo with rfdetr-cpp prefix routes to rfdetr-cpp",
+				uri:           "https://huggingface.co/mudler/rfdetr-cpp-nano",
+				modelID:       "mudler/rfdetr-cpp-nano",
+				files:         []hfapi.ModelFile{hfFile("rfdetr-nano-q8_0.gguf"), hfFile("README.md")},
+				prefs:         "",
+				expectBackend: "backend: rfdetr-cpp",
+			},
+			{
+				name:          "GGUF presence alone routes to rfdetr-cpp even when repo name lacks -cpp",
+				uri:           "https://huggingface.co/some/rf-detr-ggml",
+				modelID:       "some/rf-detr-ggml",
+				files:         []hfapi.ModelFile{hfFile("rfdetr-base-f16.gguf")},
+				prefs:         "",
+				expectBackend: "backend: rfdetr-cpp",
+			},
+			{
+				name:           "transformer repo without GGUF stays on the Python rfdetr backend",
+				uri:            "https://huggingface.co/roboflow/rf-detr-base",
+				modelID:        "roboflow/rf-detr-base",
+				files:          []hfapi.ModelFile{hfFile("config.json"), hfFile("pytorch_model.bin")},
+				prefs:          "",
+				expectBackend:  "backend: rfdetr\n",
+				rejectBackends: []string{"backend: rfdetr-cpp"},
+			},
+			{
+				name:           "explicit preferences.backend=rfdetr overrides GGUF auto-detect",
+				uri:            "https://huggingface.co/mudler/rfdetr-cpp-nano",
+				modelID:        "mudler/rfdetr-cpp-nano",
+				files:          []hfapi.ModelFile{hfFile("rfdetr-nano-q8_0.gguf")},
+				prefs:          `{"backend": "rfdetr"}`,
+				expectBackend:  "backend: rfdetr\n",
+				rejectBackends: []string{"backend: rfdetr-cpp"},
+			},
+			{
+				name:          "explicit preferences.backend=rfdetr-cpp wins on non-GGUF transformer repo",
+				uri:           "https://huggingface.co/roboflow/rf-detr-base",
+				modelID:       "roboflow/rf-detr-base",
+				files:         []hfapi.ModelFile{hfFile("config.json")},
+				prefs:         `{"backend": "rfdetr-cpp"}`,
+				expectBackend: "backend: rfdetr-cpp",
+			},
+			{
+				name:          "repo name with rfdetr.cpp pattern routes to rfdetr-cpp even without HF file list",
+				uri:           "https://huggingface.co/some/rfdetr.cpp-bundle",
+				modelID:       "some/rfdetr.cpp-bundle",
+				files:         nil,
+				prefs:         "",
+				expectBackend: "backend: rfdetr-cpp",
+			},
+		}
+
+		for _, e := range entries {
+			e := e // capture for closure
+			It(e.name, func() {
+				imp := &importers.RFDetrImporter{}
+				details := importers.Details{
+					URI: e.uri,
+					HuggingFace: &hfapi.ModelDetails{
+						ModelID: e.modelID,
+						Files:   e.files,
+					},
+				}
+				if e.prefs != "" {
+					details.Preferences = json.RawMessage(e.prefs)
+				}
+
+				// Match must always be true for these fixtures — they're
+				// either preference-driven or have an rfdetr/rf-detr token.
+				Expect(imp.Match(details)).To(BeTrue(), fmt.Sprintf("Match should fire for %+v", details))
+
+				modelConfig, err := imp.Import(details)
+				Expect(err).ToNot(HaveOccurred(), fmt.Sprintf("Import error: %v", err))
+				Expect(modelConfig.ConfigFile).To(ContainSubstring(e.expectBackend),
+					fmt.Sprintf("Model config: %+v", modelConfig))
+				for _, rej := range e.rejectBackends {
+					Expect(modelConfig.ConfigFile).ToNot(ContainSubstring(rej),
+						fmt.Sprintf("did not expect %q in: %+v", rej, modelConfig))
+				}
+			})
+		}
+	})
+
+	// Live HF cross-check: the canonical native GGUF repo for the
+	// rfdetr-cpp backend. Marked broad — we only assert the routing
+	// decision, not file lists (upstream may add quants over time).
+	Context("detection from HuggingFace: mudler/rfdetr-cpp-nano", func() {
+		It("auto-routes to the native rfdetr-cpp backend without preferences", func() {
+			uri := "https://huggingface.co/mudler/rfdetr-cpp-nano"
+			modelConfig, err := importers.DiscoverModelConfig(uri, json.RawMessage(`{}`))
+
+			Expect(err).ToNot(HaveOccurred(), fmt.Sprintf("Error: %v", err))
+			Expect(modelConfig.ConfigFile).To(ContainSubstring("backend: rfdetr-cpp"),
+				fmt.Sprintf("Model config: %+v", modelConfig))
+			Expect(modelConfig.ConfigFile).To(ContainSubstring("mudler/rfdetr-cpp-nano"))
+		})
+	})
 })

core/http/endpoints/localai/branding_endpoints_test.go

@@ -0,0 +1,233 @@
+package localai_test
+
+import (
+	"bytes"
+	"encoding/json"
+	"fmt"
+	"mime/multipart"
+	"net/http"
+	"net/http/httptest"
+	"net/textproto"
+	"os"
+	"path/filepath"
+
+	"github.com/labstack/echo/v4"
+	"github.com/mudler/LocalAI/core/config"
+	. "github.com/mudler/LocalAI/core/http/endpoints/localai"
+	. "github.com/onsi/ginkgo/v2"
+	. "github.com/onsi/gomega"
+)
+
+// multipartFile builds a multipart/form-data body with a single "file" part,
+// letting the caller control the part's filename and Content-Type so the
+// upload handler's MIME allow-list and extension-fallback paths can be tested.
+func multipartFile(filename, contentType string, data []byte) (*bytes.Buffer, string) {
+	body := &bytes.Buffer{}
+	w := multipart.NewWriter(body)
+	h := make(textproto.MIMEHeader)
+	h.Set("Content-Disposition", fmt.Sprintf(`form-data; name="file"; filename="%s"`, filename))
+	if contentType != "" {
+		h.Set("Content-Type", contentType)
+	}
+	part, err := w.CreatePart(h)
+	Expect(err).ToNot(HaveOccurred())
+	_, err = part.Write(data)
+	Expect(err).ToNot(HaveOccurred())
+	Expect(w.Close()).To(Succeed())
+	return body, w.FormDataContentType()
+}
+
+var _ = Describe("Branding endpoints", func() {
+	var (
+		dir    string
+		e      *echo.Echo
+		appCfg *config.ApplicationConfig
+	)
+
+	BeforeEach(func() {
+		var err error
+		dir, err = os.MkdirTemp("", "branding-endpoints-*")
+		Expect(err).ToNot(HaveOccurred())
+
+		appCfg = config.NewApplicationConfig()
+		appCfg.DynamicConfigsDir = dir
+		appCfg.Branding.InstanceName = "Acme AI"
+		appCfg.Branding.InstanceTagline = "do things"
+
+		e = echo.New()
+		e.GET("/api/branding", GetBrandingEndpoint(appCfg))
+		e.POST("/api/branding/asset/:kind", UploadBrandingAssetEndpoint(appCfg))
+		e.DELETE("/api/branding/asset/:kind", DeleteBrandingAssetEndpoint(appCfg))
+		e.GET("/branding/asset/:kind", ServeBrandingAssetEndpoint(appCfg))
+	})
+
+	AfterEach(func() {
+		Expect(os.RemoveAll(dir)).To(Succeed())
+	})
+
+	decode := func(rec *httptest.ResponseRecorder) BrandingResponse {
+		var b BrandingResponse
+		Expect(json.Unmarshal(rec.Body.Bytes(), &b)).To(Succeed())
+		return b
+	}
+
+	Describe("GET /api/branding", func() {
+		It("returns instance text and bundled default asset URLs when nothing is uploaded", func() {
+			req := httptest.NewRequest(http.MethodGet, "/api/branding", nil)
+			rec := httptest.NewRecorder()
+			e.ServeHTTP(rec, req)
+
+			Expect(rec.Code).To(Equal(http.StatusOK))
+			b := decode(rec)
+			Expect(b.InstanceName).To(Equal("Acme AI"))
+			Expect(b.InstanceTagline).To(Equal("do things"))
+			Expect(b.LogoURL).To(Equal("/static/logo.png"))
+			Expect(b.LogoHorizontalURL).To(Equal("/static/logo_horizontal.png"))
+			Expect(b.FaviconURL).To(Equal("/favicon.svg"))
+		})
+
+		It("points an uploaded asset at the dynamic serve route", func() {
+			appCfg.Branding.LogoFile = "logo.png"
+			req := httptest.NewRequest(http.MethodGet, "/api/branding", nil)
+			rec := httptest.NewRecorder()
+			e.ServeHTTP(rec, req)
+			Expect(decode(rec).LogoURL).To(Equal("/branding/asset/logo"))
+		})
+	})
+
+	Describe("POST /api/branding/asset/:kind", func() {
+		It("stores an uploaded PNG and persists the setting", func() {
+			body, ct := multipartFile("mylogo.png", "image/png", []byte("\x89PNG\r\n\x1a\n"))
+			req := httptest.NewRequest(http.MethodPost, "/api/branding/asset/logo", body)
+			req.Header.Set("Content-Type", ct)
+			rec := httptest.NewRecorder()
+			e.ServeHTTP(rec, req)
+
+			Expect(rec.Code).To(Equal(http.StatusOK))
+			Expect(decode(rec).LogoURL).To(Equal("/branding/asset/logo"))
+
+			// File landed under <dir>/branding/logo.png ...
+			_, err := os.Stat(filepath.Join(dir, "branding", "logo.png"))
+			Expect(err).ToNot(HaveOccurred())
+			// ... the in-memory config was updated ...
+			Expect(appCfg.Branding.LogoFile).To(Equal("logo.png"))
+			// ... and it was persisted to runtime_settings.json.
+			_, err = os.Stat(filepath.Join(dir, "runtime_settings.json"))
+			Expect(err).ToNot(HaveOccurred())
+		})
+
+		It("accepts a generic content-type when the filename extension is allowed", func() {
+			body, ct := multipartFile("favicon.svg", "application/octet-stream", []byte("<svg/>"))
+			req := httptest.NewRequest(http.MethodPost, "/api/branding/asset/favicon", body)
+			req.Header.Set("Content-Type", ct)
+			rec := httptest.NewRecorder()
+			e.ServeHTTP(rec, req)
+
+			Expect(rec.Code).To(Equal(http.StatusOK))
+			Expect(appCfg.Branding.FaviconFile).To(Equal("favicon.svg"))
+		})
+
+		It("replaces a prior asset of a different extension", func() {
+			brandingDir := filepath.Join(dir, "branding")
+			Expect(os.MkdirAll(brandingDir, 0o750)).To(Succeed())
+			Expect(os.WriteFile(filepath.Join(brandingDir, "logo.svg"), []byte("<svg/>"), 0o644)).To(Succeed())
+
+			body, ct := multipartFile("new.png", "image/png", []byte("\x89PNG\r\n\x1a\n"))
+			req := httptest.NewRequest(http.MethodPost, "/api/branding/asset/logo", body)
+			req.Header.Set("Content-Type", ct)
+			rec := httptest.NewRecorder()
+			e.ServeHTTP(rec, req)
+
+			Expect(rec.Code).To(Equal(http.StatusOK))
+			// Old companion removed, new one present.
+			_, err := os.Stat(filepath.Join(brandingDir, "logo.svg"))
+			Expect(os.IsNotExist(err)).To(BeTrue())
+			_, err = os.Stat(filepath.Join(brandingDir, "logo.png"))
+			Expect(err).ToNot(HaveOccurred())
+		})
+
+		It("rejects an unknown asset kind", func() {
+			body, ct := multipartFile("x.png", "image/png", []byte("x"))
+			req := httptest.NewRequest(http.MethodPost, "/api/branding/asset/banner", body)
+			req.Header.Set("Content-Type", ct)
+			rec := httptest.NewRecorder()
+			e.ServeHTTP(rec, req)
+			Expect(rec.Code).To(Equal(http.StatusBadRequest))
+			Expect(rec.Body.String()).To(ContainSubstring("invalid asset kind"))
+		})
+
+		It("rejects a request with no file", func() {
+			body := &bytes.Buffer{}
+			w := multipart.NewWriter(body)
+			Expect(w.Close()).To(Succeed())
+			req := httptest.NewRequest(http.MethodPost, "/api/branding/asset/logo", body)
+			req.Header.Set("Content-Type", w.FormDataContentType())
+			rec := httptest.NewRecorder()
+			e.ServeHTTP(rec, req)
+			Expect(rec.Code).To(Equal(http.StatusBadRequest))
+			Expect(rec.Body.String()).To(ContainSubstring("file is required"))
+		})
+
+		It("rejects an unsupported file type", func() {
+			body, ct := multipartFile("evil.txt", "text/html", []byte("<script>"))
+			req := httptest.NewRequest(http.MethodPost, "/api/branding/asset/logo", body)
+			req.Header.Set("Content-Type", ct)
+			rec := httptest.NewRecorder()
+			e.ServeHTTP(rec, req)
+			Expect(rec.Code).To(Equal(http.StatusBadRequest))
+			Expect(rec.Body.String()).To(ContainSubstring("unsupported file type"))
+		})
+	})
+
+	Describe("DELETE /api/branding/asset/:kind", func() {
+		It("removes the asset file and clears the setting", func() {
+			// Seed an uploaded asset first.
+			body, ct := multipartFile("logo.png", "image/png", []byte("\x89PNG\r\n\x1a\n"))
+			req := httptest.NewRequest(http.MethodPost, "/api/branding/asset/logo", body)
+			req.Header.Set("Content-Type", ct)
+			e.ServeHTTP(httptest.NewRecorder(), req)
+			Expect(appCfg.Branding.LogoFile).To(Equal("logo.png"))
+
+			req = httptest.NewRequest(http.MethodDelete, "/api/branding/asset/logo", nil)
+			rec := httptest.NewRecorder()
+			e.ServeHTTP(rec, req)
+
+			Expect(rec.Code).To(Equal(http.StatusOK))
+			Expect(appCfg.Branding.LogoFile).To(Equal(""))
+			Expect(decode(rec).LogoURL).To(Equal("/static/logo.png"))
+			_, err := os.Stat(filepath.Join(dir, "branding", "logo.png"))
+			Expect(os.IsNotExist(err)).To(BeTrue())
+		})
+
+		It("rejects an unknown asset kind", func() {
+			req := httptest.NewRequest(http.MethodDelete, "/api/branding/asset/banner", nil)
+			rec := httptest.NewRecorder()
+			e.ServeHTTP(rec, req)
+			Expect(rec.Code).To(Equal(http.StatusBadRequest))
+		})
+	})
+
+	Describe("GET /branding/asset/:kind (serve)", func() {
+		It("404s for an unknown kind", func() {
+			req := httptest.NewRequest(http.MethodGet, "/branding/asset/banner", nil)
+			rec := httptest.NewRecorder()
+			e.ServeHTTP(rec, req)
+			Expect(rec.Code).To(Equal(http.StatusNotFound))
+		})
+
+		It("404s when no override is configured", func() {
+			req := httptest.NewRequest(http.MethodGet, "/branding/asset/logo", nil)
+			rec := httptest.NewRecorder()
+			e.ServeHTTP(rec, req)
+			Expect(rec.Code).To(Equal(http.StatusNotFound))
+		})
+
+		It("404s on a path-traversal basename", func() {
+			appCfg.Branding.LogoFile = "../runtime_settings.json"
+			req := httptest.NewRequest(http.MethodGet, "/branding/asset/logo", nil)
+			rec := httptest.NewRecorder()
+			e.ServeHTTP(rec, req)
+			Expect(rec.Code).To(Equal(http.StatusNotFound))
+		})
+	})
+})

core/http/endpoints/localai/settings_test.go

@@ -0,0 +1,111 @@
+package localai_test
+
+import (
+	"bytes"
+	"context"
+	"encoding/json"
+	"net/http"
+	"net/http/httptest"
+	"os"
+	"path/filepath"
+
+	"github.com/labstack/echo/v4"
+	"github.com/mudler/LocalAI/core/application"
+	"github.com/mudler/LocalAI/core/config"
+	. "github.com/mudler/LocalAI/core/http/endpoints/localai"
+	"github.com/mudler/LocalAI/pkg/system"
+	. "github.com/onsi/ginkgo/v2"
+	. "github.com/onsi/gomega"
+)
+
+// The settings handlers take the concrete *application.Application, so the
+// suite builds a minimal real app (no watchdog/p2p — both default off — so
+// start() doesn't spawn background services) the same way the in-process HTTP
+// suite does, then drives the handlers via httptest.
+var _ = Describe("Settings endpoints", func() {
+	var (
+		tmp    string
+		app    *application.Application
+		e      *echo.Echo
+		cancel context.CancelFunc
+	)
+
+	BeforeEach(func() {
+		var err error
+		tmp, err = os.MkdirTemp("", "settings-test-*")
+		Expect(err).ToNot(HaveOccurred())
+
+		var ctx context.Context
+		ctx, cancel = context.WithCancel(context.Background())
+
+		st, err := system.GetSystemState(
+			system.WithModelPath(filepath.Join(tmp, "models")),
+			system.WithBackendPath(filepath.Join(tmp, "backends")),
+		)
+		Expect(err).ToNot(HaveOccurred())
+
+		app, err = application.New(
+			config.WithContext(ctx),
+			config.WithSystemState(st),
+		)
+		Expect(err).ToNot(HaveOccurred())
+		// Settings are persisted here; set after construction since there's no
+		// dedicated AppOption for it.
+		app.ApplicationConfig().DynamicConfigsDir = tmp
+
+		e = echo.New()
+		e.GET("/api/settings", GetSettingsEndpoint(app))
+		e.POST("/api/settings", UpdateSettingsEndpoint(app))
+	})
+
+	AfterEach(func() {
+		cancel()
+		Expect(os.RemoveAll(tmp)).To(Succeed())
+	})
+
+	post := func(body string) *httptest.ResponseRecorder {
+		req := httptest.NewRequest(http.MethodPost, "/api/settings", bytes.NewBufferString(body))
+		req.Header.Set("Content-Type", "application/json")
+		rec := httptest.NewRecorder()
+		e.ServeHTTP(rec, req)
+		return rec
+	}
+
+	It("GET returns the current runtime settings", func() {
+		req := httptest.NewRequest(http.MethodGet, "/api/settings", nil)
+		rec := httptest.NewRecorder()
+		e.ServeHTTP(rec, req)
+
+		Expect(rec.Code).To(Equal(http.StatusOK))
+		var settings map[string]any
+		Expect(json.Unmarshal(rec.Body.Bytes(), &settings)).To(Succeed())
+		Expect(settings).ToNot(BeEmpty())
+	})
+
+	It("rejects malformed JSON", func() {
+		rec := post("{not json")
+		Expect(rec.Code).To(Equal(http.StatusBadRequest))
+		Expect(rec.Body.String()).To(ContainSubstring("Failed to parse JSON"))
+	})
+
+	It("rejects an invalid watchdog timeout duration", func() {
+		rec := post(`{"watchdog_idle_timeout":"notaduration"}`)
+		Expect(rec.Code).To(Equal(http.StatusBadRequest))
+		Expect(rec.Body.String()).To(ContainSubstring("Invalid watchdog_idle_timeout"))
+	})
+
+	It("errors when DynamicConfigsDir is unset", func() {
+		app.ApplicationConfig().DynamicConfigsDir = ""
+		rec := post(`{}`)
+		Expect(rec.Code).To(Equal(http.StatusBadRequest))
+		Expect(rec.Body.String()).To(ContainSubstring("DynamicConfigsDir is not set"))
+	})
+
+	It("saves valid settings to runtime_settings.json", func() {
+		rec := post(`{}`)
+		Expect(rec.Code).To(Equal(http.StatusOK))
+		Expect(rec.Body.String()).To(ContainSubstring("Settings updated successfully"))
+		_, err := os.Stat(filepath.Join(tmp, "runtime_settings.json"))
+		Expect(err).ToNot(HaveOccurred())
+	})
+})

core/http/endpoints/openai/chat.go

@@ -68,6 +68,57 @@ func mergeToolCallDeltas(existing []schema.ToolCall, deltas []schema.ToolCall) [
 	return existing
 }
 
+// applyAutoparserOverride replaces the Go-side reasoning-extraction result with
+// the C++ autoparser's classified ChatDeltas when those deltas contain
+// actionable content or reasoning. It preserves the original logprobs.
+//
+// When the autoparser did not classify any reasoning (deltaReasoning == "") but
+// deltaContent still carries an unparsed reasoning tag pair (e.g. the
+// non-jinja "pure content" fallback path on a <think> model — issue #9985),
+// the Go-side reasoning extractor is run on deltaContent as a defensive
+// fallback so <think>…</think> blocks do not leak into the OpenAI `content`
+// field.
+func applyAutoparserOverride(
+	chatDeltas []*pb.ChatDelta,
+	thinkingStartToken string,
+	reasoningConfig reason.Config,
+	existing []schema.Choice,
+) []schema.Choice {
+	if len(chatDeltas) == 0 {
+		return existing
+	}
+	deltaContent := functions.ContentFromChatDeltas(chatDeltas)
+	deltaReasoning := functions.ReasoningFromChatDeltas(chatDeltas)
+	if deltaContent == "" && deltaReasoning == "" {
+		return existing
+	}
+	// Fallback for non-jinja models (issue #9985): when the C++ autoparser
+	// did not classify reasoning but the raw content still contains a known
+	// reasoning tag pair, run Go-side extraction on the content so that the
+	// <think>…</think> block does not leak into the OpenAI `content` field.
+	// When the autoparser DID populate ReasoningContent, leave its
+	// content/reasoning split alone — trust the parser. We replace
+	// deltaContent unconditionally because ExtractReasoningWithConfig is a
+	// no-op when no tag pair matches; this also strips empty thinking
+	// blocks like "<think></think>" that some models emit when reasoning
+	// is disabled.
+	if deltaReasoning == "" && deltaContent != "" {
+		deltaReasoning, deltaContent = reason.ExtractReasoningWithConfig(deltaContent, thinkingStartToken, reasoningConfig)
+	}
+	xlog.Debug("[ChatDeltas] non-SSE no-tools: overriding result with C++ autoparser deltas",
+		"content_len", len(deltaContent), "reasoning_len", len(deltaReasoning))
+	stopReason := FinishReasonStop
+	message := &schema.Message{Role: "assistant", Content: &deltaContent}
+	if deltaReasoning != "" {
+		message.Reasoning = &deltaReasoning
+	}
+	newChoice := schema.Choice{FinishReason: &stopReason, Index: 0, Message: message}
+	if len(existing) > 0 && existing[0].Logprobs != nil {
+		newChoice.Logprobs = existing[0].Logprobs
+	}
+	return []schema.Choice{newChoice}
+}
+
 // ChatEndpoint is the OpenAI Completion API endpoint https://platform.openai.com/docs/api-reference/chat/create
 // @Summary Generate a chat completions for a given prompt and model.
 // @Tags inference
@@ -757,24 +808,8 @@ func ChatEndpoint(cl *config.ModelConfigLoader, ml *model.ModelLoader, evaluator
 				// For non-tool requests: prefer C++ autoparser chat deltas over
 				// Go-side tag extraction (which can mangle output when thinkingStartToken
 				// differs from the model's actual reasoning tags, e.g. Gemma 4).
-				if !shouldUseFn && len(chatDeltas) > 0 {
-					deltaContent := functions.ContentFromChatDeltas(chatDeltas)
-					deltaReasoning := functions.ReasoningFromChatDeltas(chatDeltas)
-					if deltaContent != "" || deltaReasoning != "" {
-						xlog.Debug("[ChatDeltas] non-SSE no-tools: overriding result with C++ autoparser deltas",
-							"content_len", len(deltaContent), "reasoning_len", len(deltaReasoning))
-						stopReason := FinishReasonStop
-						message := &schema.Message{Role: "assistant", Content: &deltaContent}
-						if deltaReasoning != "" {
-							message.Reasoning = &deltaReasoning
-						}
-						newChoice := schema.Choice{FinishReason: &stopReason, Index: 0, Message: message}
-						// Preserve logprobs from the original result
-						if len(result) > 0 && result[0].Logprobs != nil {
-							newChoice.Logprobs = result[0].Logprobs
-						}
-						result = []schema.Choice{newChoice}
-					}
+				if !shouldUseFn {
+					result = applyAutoparserOverride(chatDeltas, thinkingStartToken, config.ReasoningConfig, result)
 				}
 
 				// Tool parsing is deferred here (only when shouldUseFn) so chat deltas are available

core/http/endpoints/openai/chat_stream_reasoning_test.go

@@ -0,0 +1,99 @@
+package openai
+
+import (
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
+	reason "github.com/mudler/LocalAI/pkg/reasoning"
+	. "github.com/onsi/ginkgo/v2"
+	. "github.com/onsi/gomega"
+)
+
+// Regression test for the prefill-misclassification artifact surfaced in
+// the review of #9991: when LocalAI templates qwen3 with
+// use_tokenizer_template (the post-#9985 gallery shape),
+// DetectThinkingStartToken finds <think> in the model's jinja chat
+// template — without evaluating the surrounding {% if enable_thinking %}
+// guard — and the Go-side extractor's PrependThinkingTokenIfNeeded then
+// treats every non-thinking output token as reasoning. The autoparser does
+// not classify qwen3's tool calls into ChatDelta.ToolCalls (qwen3's tool
+// format isn't on llama.cpp's recognized-tool list), so all tokens land in
+// ChatDelta.Content while the Go-side extractor silently accumulates a
+// "reasoning" string equal to the raw tool-call JSON. End-of-stream this
+// is flushed as a trailing `delta.reasoning` chunk to the client.
+//
+// chooseDeferredReasoning is the gate: when the autoparser was active for
+// any chunk (preferAutoparser sticky), we trust its reasoning_content
+// classification (usually empty) instead of the polluted Go-side state.
+var _ = Describe("chooseDeferredReasoning", func() {
+	// Simulate the qwen3-after-#9985 misclassification: build a real
+	// extractor with a <think> thinking-start token, then feed it
+	// non-thinking content. The extractor will (correctly per its own
+	// contract) treat the content as reasoning because
+	// PrependThinkingTokenIfNeeded synthesizes a leading <think>.
+	pollutedExtractor := func(content string) *reason.ReasoningExtractor {
+		e := reason.NewReasoningExtractor("<think>", reason.Config{})
+		e.ProcessToken(content)
+		Expect(e.Reasoning()).To(Equal(content),
+			"sanity: when the thinking-start token is set and content has no real <think>...</think>, "+
+				"the extractor classifies all content as reasoning — this is exactly the prefill pollution "+
+				"we want chooseDeferredReasoning to guard against")
+		return e
+	}
+
+	Context("autoparser was active (preferAutoparser=true)", func() {
+		It("returns the autoparser's reasoning classification, ignoring the polluted Go-side state", func() {
+			toolCallJSON := `{"arguments": {"cmd": "echo hello"}, "name": "exec"}`
+			extractor := pollutedExtractor(toolCallJSON)
+			// What the C++ autoparser sent: content chunks but no
+			// reasoning_content (qwen3 tool calls aren't classified by
+			// the upstream PEG parser).
+			chatDeltas := []*pb.ChatDelta{
+				{Content: toolCallJSON, ReasoningContent: ""},
+			}
+
+			got := chooseDeferredReasoning(true, chatDeltas, extractor)
+
+			Expect(got).To(BeEmpty(),
+				"chooseDeferredReasoning must NOT return the polluted extractor state "+
+					"when the autoparser was active — the autoparser correctly classified zero reasoning")
+		})
+
+		It("returns the autoparser's reasoning when it actually did classify reasoning", func() {
+			// The other side of the contract: when the autoparser was
+			// in jinja-with-recognized-format mode and DID classify
+			// reasoning, pass that through verbatim.
+			actualReasoning := "Okay, the user asked X. I should call exec."
+			extractor := pollutedExtractor("ignored polluted state")
+			chatDeltas := []*pb.ChatDelta{
+				{Content: "", ReasoningContent: actualReasoning},
+			}
+
+			got := chooseDeferredReasoning(true, chatDeltas, extractor)
+
+			Expect(got).To(Equal(actualReasoning))
+		})
+	})
+
+	Context("autoparser was NOT active (preferAutoparser=false)", func() {
+		It("falls back to the Go-side extractor — the right source for vLLM and other autoparser-less backends", func() {
+			realReasoning := "Genuine reasoning from a backend without an autoparser"
+			extractor := reason.NewReasoningExtractor("<think>", reason.Config{})
+			extractor.ProcessToken("<think>" + realReasoning + "</think>final answer")
+
+			got := chooseDeferredReasoning(false, nil, extractor)
+
+			Expect(got).To(Equal(realReasoning))
+		})
+
+		It("falls back even when ChatDeltas are present but the autoparser never classified anything", func() {
+			// Defensive: chatDeltas could carry vestigial data; if
+			// preferAutoparser wasn't flipped, we still use the
+			// extractor.
+			extractor := reason.NewReasoningExtractor("", reason.Config{})
+			extractor.ProcessToken("<think>some thoughts</think>answer")
+
+			got := chooseDeferredReasoning(false, []*pb.ChatDelta{{Content: "answer"}}, extractor)
+
+			Expect(got).To(Equal("some thoughts"))
+		})
+	})
+})

core/http/endpoints/openai/chat_stream_workers.go

@@ -7,11 +7,111 @@ import (
 	"github.com/mudler/LocalAI/core/config"
 	"github.com/mudler/LocalAI/core/schema"
 	"github.com/mudler/LocalAI/pkg/functions"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
 	"github.com/mudler/LocalAI/pkg/model"
 	reason "github.com/mudler/LocalAI/pkg/reasoning"
 	"github.com/mudler/xlog"
 )
 
+// emitJSONToolCallDeltas iterates the JSON tool-call objects produced by the
+// streaming tool-call detector and emits SSE chunks for the ones the caller
+// hasn't already emitted. It returns the new lastEmittedCount.
+//
+// Semantics:
+//   - Skips entries before lastEmittedCount (already emitted).
+//   - Emits one tool_call chunk per consecutive entry that has a usable
+//     `name` string.
+//   - Stops at the first entry without a name (typically the partial-JSON
+//     tail or a healing-marker stub — see issue #9988) so the caller doesn't
+//     advance past it. Bumping lastEmittedCount past an unparsed stub
+//     permanently gates off content emission for the rest of the stream.
+//   - When jsonResults is empty (the autoparser-working case, where the raw
+//     text result is cleared and only ChatDeltas carry tool calls), this is
+//     a no-op and lastEmittedCount is returned unchanged.
+//
+// The autoparser-correctly-classifying-tool-calls path is unaffected: it
+// delivers tool calls via TokenUsage.ChatDeltas, and the deferred
+// end-of-stream block (ToolCallsFromChatDeltas → buildDeferredToolCallChunks)
+// emits them; this helper sees an empty jsonResults and emits nothing.
+func emitJSONToolCallDeltas(
+	jsonResults []map[string]any,
+	lastEmittedCount int,
+	id, model string,
+	created int,
+	responses chan<- schema.OpenAIResponse,
+) int {
+	for i := lastEmittedCount; i < len(jsonResults); i++ {
+		jsonObj := jsonResults[i]
+		name, ok := jsonObj["name"].(string)
+		if !ok || name == "" {
+			break
+		}
+		args := "{}"
+		if argsVal, ok := jsonObj["arguments"]; ok {
+			if argsStr, ok := argsVal.(string); ok {
+				args = argsStr
+			} else {
+				argsBytes, _ := json.Marshal(argsVal)
+				args = string(argsBytes)
+			}
+		}
+		responses <- schema.OpenAIResponse{
+			ID:      id,
+			Created: created,
+			Model:   model,
+			Choices: []schema.Choice{{
+				Delta: &schema.Message{
+					Role: "assistant",
+					ToolCalls: []schema.ToolCall{
+						{
+							Index: i,
+							ID:    id,
+							Type:  "function",
+							FunctionCall: schema.FunctionCall{
+								Name:      name,
+								Arguments: args,
+							},
+						},
+					},
+				},
+				Index:        0,
+				FinishReason: nil,
+			}},
+			Object: "chat.completion.chunk",
+		}
+		lastEmittedCount = i + 1
+	}
+	return lastEmittedCount
+}
+
+// chooseDeferredReasoning picks the source of truth for the end-of-stream
+// reasoning flush in processStreamWithTools. When the C++ autoparser was
+// active during the stream (preferAutoparser), it returns the autoparser's
+// own classified reasoning_content from ChatDeltas — usually empty when the
+// autoparser is in pure-content fallback mode. Otherwise it falls back to
+// the Go-side streaming extractor, which is the right source for backends
+// without an autoparser (vLLM, etc.).
+//
+// Why: the Go-side extractor's accumulated Reasoning() can be polluted by
+// PrependThinkingTokenIfNeeded — when the tokenizer template contains a
+// thinking start token (qwen3's jinja template has <think> inside an
+// {% if enable_thinking %} block, and DetectThinkingStartToken does not
+// evaluate jinja conditionals), prefill detection treats every chunk's
+// content as reasoning, even when the model emitted a raw tool-call JSON
+// in non-thinking mode. Without this guard, qwen3-4b with streaming + tools
+// (after #9985 flipped the gallery to use_tokenizer_template) emits a
+// trailing SSE chunk where `reasoning` carries the tool-call JSON.
+func chooseDeferredReasoning(
+	preferAutoparser bool,
+	chatDeltas []*pb.ChatDelta,
+	extractor *reason.ReasoningExtractor,
+) string {
+	if preferAutoparser {
+		return functions.ReasoningFromChatDeltas(chatDeltas)
+	}
+	return extractor.Reasoning()
+}
+
 // processStream is the streaming worker for chat completions with no
 // tool/function calling involved. It pushes SSE-shaped chunks onto
 // `responses` and returns the authoritative cumulative TokenUsage from
@@ -52,6 +152,13 @@ func processStream(
 	thinkingStartToken := reason.DetectThinkingStartToken(template, &cfg.ReasoningConfig)
 	extractor := reason.NewReasoningExtractor(thinkingStartToken, cfg.ReasoningConfig)
 
+	// preferAutoparser is sticky: once the C++ autoparser has ever classified
+	// reasoning_content, we trust it for the rest of the stream. Until then we
+	// fall back to Go-side extraction so that a "pure content" autoparser
+	// (non-jinja path, issue #9985) does not leak <think>…</think> tokens
+	// straight into the OpenAI `content` field.
+	preferAutoparser := false
+
 	_, finalUsage, _, err := ComputeChoices(req, s, cfg, cl, startupOptions, loader, func(s string, c *[]schema.Choice) {}, func(s string, tokenUsage backend.TokenUsage) bool {
 		var reasoningDelta, contentDelta string
 
@@ -64,8 +171,16 @@ func processStream(
 		// Otherwise fall back to Go-side extraction.
 		if tokenUsage.HasChatDeltaContent() {
 			rawReasoning, cd := tokenUsage.ChatDeltaReasoningAndContent()
-			contentDelta = cd
-			reasoningDelta = extractor.ProcessChatDeltaReasoning(rawReasoning)
+			if rawReasoning != "" {
+				preferAutoparser = true
+			}
+			if preferAutoparser {
+				contentDelta = cd
+				reasoningDelta = extractor.ProcessChatDeltaReasoning(rawReasoning)
+			} else {
+				reasoningDelta = goReasoning
+				contentDelta = goContent
+			}
 		} else {
 			reasoningDelta = goReasoning
 			contentDelta = goContent
@@ -142,6 +257,17 @@ func processStreamWithTools(
 	hasChatDeltaToolCalls := false
 	hasChatDeltaContent := false
 
+	// preferAutoparser is sticky: once the C++ autoparser has ever delivered
+	// content or reasoning via ChatDeltas, we trust its classification for the
+	// rest of the stream — including for the end-of-stream reasoning flush in
+	// buildDeferredToolCallChunks. Otherwise the Go-side extractor's
+	// accumulated Reasoning() can be polluted by prefill detection
+	// misclassifying content as reasoning (this happens when <think> appears
+	// in the tokenizer template and the model emits non-reasoning content
+	// like a raw tool-call JSON — qwen3-4b after #9985 enabled
+	// use_tokenizer_template). Mirrors the analogous flag in processStream.
+	preferAutoparser := false
+
 	// X-LocalAI-Node attribution is handled by middleware.ExposeNodeHeader
 	// at the wrapper layer; no in-band signalling from this worker.
 
@@ -165,12 +291,17 @@ func processStreamWithTools(
 
 		if usage.HasChatDeltaContent() {
 			rawReasoning, cd := usage.ChatDeltaReasoningAndContent()
+			preferAutoparser = true
 			contentDelta = cd
 			reasoningDelta = extractor.ProcessChatDeltaReasoning(rawReasoning)
-		} else {
+		} else if !preferAutoparser {
 			reasoningDelta = goReasoning
 			contentDelta = goContent
 		}
+		// If preferAutoparser is already true but this chunk carried no
+		// autoparser data, leave both deltas empty — the next autoparser
+		// chunk will pick things up. Falling back to Go-side here would
+		// re-introduce the prefill-misclassification leak.
 
 		// Emit reasoning deltas in their own SSE chunks before any tool-call chunks
 		// (OpenAI spec: reasoning and tool_calls never share a delta)
@@ -264,49 +395,10 @@ func processStreamWithTools(
 			// Try JSON tool call parsing for streaming.
 			// Only emit NEW tool calls (same guard as XML parser above).
 			jsonResults, jsonErr := functions.ParseJSONIterative(cleanedResult, true)
-			if jsonErr == nil && len(jsonResults) > lastEmittedCount {
-				for i := lastEmittedCount; i < len(jsonResults); i++ {
-					jsonObj := jsonResults[i]
-					name, ok := jsonObj["name"].(string)
-					if !ok || name == "" {
-						continue
-					}
-					args := "{}"
-					if argsVal, ok := jsonObj["arguments"]; ok {
-						if argsStr, ok := argsVal.(string); ok {
-							args = argsStr
-						} else {
-							argsBytes, _ := json.Marshal(argsVal)
-							args = string(argsBytes)
-						}
-					}
-					initialMessage := schema.OpenAIResponse{
-						ID:      id,
-						Created: created,
-						Model:   req.Model,
-						Choices: []schema.Choice{{
-							Delta: &schema.Message{
-								Role: "assistant",
-								ToolCalls: []schema.ToolCall{
-									{
-										Index: i,
-										ID:    id,
-										Type:  "function",
-										FunctionCall: schema.FunctionCall{
-											Name:      name,
-											Arguments: args,
-										},
-									},
-								},
-							},
-							Index:        0,
-							FinishReason: nil,
-						}},
-						Object: "chat.completion.chunk",
-					}
-					responses <- initialMessage
-				}
-				lastEmittedCount = len(jsonResults)
+			if jsonErr == nil {
+				lastEmittedCount = emitJSONToolCallDeltas(
+					jsonResults, lastEmittedCount, id, req.Model, created, responses,
+				)
 			}
 		}
 		return true
@@ -352,7 +444,14 @@ func processStreamWithTools(
 	} else {
 		// Fallback: parse tool calls from raw text (no chat deltas from backend)
 		xlog.Debug("[ChatDeltas] no pre-parsed tool calls, falling back to Go-side text parsing")
-		reasoning = extractor.Reasoning()
+		// When the autoparser was active during streaming (preferAutoparser),
+		// trust its reasoning classification rather than the Go-side
+		// extractor's accumulated state — the latter may have misclassified
+		// content as reasoning due to prefill detection on a tokenizer
+		// template that contains <think>. This was visible on qwen3-4b after
+		// #9985 enabled use_tokenizer_template: a streaming tool-call JSON
+		// would leak as a trailing reasoning chunk via the deferred flush.
+		reasoning = chooseDeferredReasoning(preferAutoparser, chatDeltas, extractor)
 		cleanedResult := extractor.CleanedContent()
 		*textContentToReturn = functions.ParseTextContent(cleanedResult, cfg.FunctionsConfig)
 		cleanedResult = functions.CleanupLLMResult(cleanedResult, cfg.FunctionsConfig)

core/http/endpoints/openai/chat_stream_workers_test.go

@@ -0,0 +1,197 @@
+package openai
+
+import (
+	"github.com/mudler/LocalAI/core/schema"
+	. "github.com/onsi/ginkgo/v2"
+	. "github.com/onsi/gomega"
+)
+
+// drainChannel reads everything currently buffered on a channel without
+// blocking on close. The helper test channels are sized for the assertions.
+func drainChannel(ch <-chan schema.OpenAIResponse) []schema.OpenAIResponse {
+	var out []schema.OpenAIResponse
+	for {
+		select {
+		case r, ok := <-ch:
+			if !ok {
+				return out
+			}
+			out = append(out, r)
+		default:
+			return out
+		}
+	}
+}
+
+// nameOf returns the name of the first tool call carried on the choice's
+// delta, or "" if none.
+func nameOf(r schema.OpenAIResponse) string {
+	if len(r.Choices) == 0 || r.Choices[0].Delta == nil {
+		return ""
+	}
+	if len(r.Choices[0].Delta.ToolCalls) == 0 {
+		return ""
+	}
+	return r.Choices[0].Delta.ToolCalls[0].FunctionCall.Name
+}
+
+var _ = Describe("emitJSONToolCallDeltas", func() {
+	const (
+		id      = "test-stream"
+		model   = "test-model"
+		created = 1700000000
+	)
+
+	// The case that motivated this helper. With the previous version of
+	// the streaming worker, ParseJSONIterative would hand back a stub
+	// object like `{"4310046988783340008":1}` after the model had only
+	// emitted `{`. The worker bumped lastEmittedCount unconditionally,
+	// which permanently gated off content emission for the rest of the
+	// stream (qwen3-4b with stream:true + tools dribbled only `{"` to
+	// the client and then nothing). See issue #9988.
+	Context("partial stub without a usable name", func() {
+		It("does NOT bump lastEmittedCount and emits nothing", func() {
+			responses := make(chan schema.OpenAIResponse, 4)
+			// What ParseJSONIterative used to return for `{`:
+			stubResults := []map[string]any{
+				{"4310046988783340008": float64(1)},
+			}
+
+			next := emitJSONToolCallDeltas(stubResults, 0, id, model, created, responses)
+
+			Expect(next).To(Equal(0),
+				"lastEmittedCount must NOT advance past a stub without a name "+
+					"— otherwise content emission gets permanently gated off")
+			Expect(drainChannel(responses)).To(BeEmpty(),
+				"no tool_call chunk should be emitted for a stub without a name")
+		})
+	})
+
+	// No-regression #1: the autoparser-correctly-working path. When the
+	// C++ autoparser classifies tool calls itself, the raw text result is
+	// cleared and ParseJSONIterative on it returns no results — this
+	// helper must be a no-op so the deferred end-of-stream code can emit
+	// the tool calls from TokenUsage.ChatDeltas.
+	Context("empty jsonResults (autoparser-correctly-working path)", func() {
+		It("is a no-op and leaves lastEmittedCount unchanged", func() {
+			responses := make(chan schema.OpenAIResponse, 4)
+			next := emitJSONToolCallDeltas(nil, 0, id, model, created, responses)
+			Expect(next).To(Equal(0))
+			Expect(drainChannel(responses)).To(BeEmpty())
+		})
+
+		It("leaves a non-zero lastEmittedCount unchanged when later called with the same length", func() {
+			responses := make(chan schema.OpenAIResponse, 4)
+			results := []map[string]any{
+				{"name": "search", "arguments": map[string]any{"q": "hi"}},
+			}
+			// First call emits the one available tool call.
+			next := emitJSONToolCallDeltas(results, 0, id, model, created, responses)
+			Expect(next).To(Equal(1))
+			Expect(drainChannel(responses)).To(HaveLen(1))
+
+			// Subsequent chunks haven't grown the slice — must be a no-op.
+			next = emitJSONToolCallDeltas(results, next, id, model, created, responses)
+			Expect(next).To(Equal(1))
+			Expect(drainChannel(responses)).To(BeEmpty())
+		})
+	})
+
+	// No-regression #2: the normal completed-JSON path. When the model
+	// emits a real, complete tool call as JSON in raw content (e.g. qwen3
+	// without jinja but with tools), we should emit exactly one tool_call
+	// SSE chunk on the first call and become a no-op on later calls.
+	Context("single complete tool call", func() {
+		It("emits one tool_call chunk and bumps lastEmittedCount to 1", func() {
+			responses := make(chan schema.OpenAIResponse, 4)
+			results := []map[string]any{
+				{
+					"name": "search",
+					"arguments": map[string]any{
+						"q": "hello",
+					},
+				},
+			}
+
+			next := emitJSONToolCallDeltas(results, 0, id, model, created, responses)
+
+			Expect(next).To(Equal(1))
+			out := drainChannel(responses)
+			Expect(out).To(HaveLen(1))
+			Expect(nameOf(out[0])).To(Equal("search"))
+			Expect(out[0].Choices[0].Delta.ToolCalls[0].FunctionCall.Arguments).
+				To(ContainSubstring(`"q":"hello"`))
+		})
+
+		It("accepts arguments already serialized as a string", func() {
+			responses := make(chan schema.OpenAIResponse, 4)
+			results := []map[string]any{
+				{
+					"name":      "search",
+					"arguments": `{"q":"hello"}`,
+				},
+			}
+
+			emitJSONToolCallDeltas(results, 0, id, model, created, responses)
+
+			out := drainChannel(responses)
+			Expect(out).To(HaveLen(1))
+			Expect(out[0].Choices[0].Delta.ToolCalls[0].FunctionCall.Arguments).
+				To(Equal(`{"q":"hello"}`))
+		})
+	})
+
+	// No-regression #3: multiple tool calls (parallel tool calling).
+	// Both must be emitted, lastEmittedCount must end at 2.
+	Context("multiple complete tool calls", func() {
+		It("emits one chunk per tool call and bumps lastEmittedCount to len(results)", func() {
+			responses := make(chan schema.OpenAIResponse, 8)
+			results := []map[string]any{
+				{"name": "search", "arguments": map[string]any{"q": "a"}},
+				{"name": "browse", "arguments": map[string]any{"url": "b"}},
+			}
+
+			next := emitJSONToolCallDeltas(results, 0, id, model, created, responses)
+
+			Expect(next).To(Equal(2))
+			out := drainChannel(responses)
+			Expect(out).To(HaveLen(2))
+			Expect(nameOf(out[0])).To(Equal("search"))
+			Expect(nameOf(out[1])).To(Equal("browse"))
+		})
+	})
+
+	// The streaming-tail case: incremental chunks. First parse returns
+	// one complete tool call followed by a partial stub; later chunks
+	// complete the second tool call. We must emit the first immediately
+	// and the second on the later call — without ever bumping past the
+	// stub mid-stream.
+	Context("partial tail behind a real tool call", func() {
+		It("emits the complete entry, stops at the stub, and resumes once the tail completes", func() {
+			responses := make(chan schema.OpenAIResponse, 8)
+
+			// Chunk 1: one real call + a partial stub for the next.
+			chunk1 := []map[string]any{
+				{"name": "search", "arguments": map[string]any{"q": "a"}},
+				{"4310046988783340008": float64(1)},
+			}
+			next := emitJSONToolCallDeltas(chunk1, 0, id, model, created, responses)
+			Expect(next).To(Equal(1),
+				"must NOT advance to 2 — the stub at index 1 has no usable name")
+			out := drainChannel(responses)
+			Expect(out).To(HaveLen(1))
+			Expect(nameOf(out[0])).To(Equal("search"))
+
+			// Chunk 2: the stub completes into a real call.
+			chunk2 := []map[string]any{
+				{"name": "search", "arguments": map[string]any{"q": "a"}},
+				{"name": "browse", "arguments": map[string]any{"url": "b"}},
+			}
+			next = emitJSONToolCallDeltas(chunk2, next, id, model, created, responses)
+			Expect(next).To(Equal(2))
+			out = drainChannel(responses)
+			Expect(out).To(HaveLen(1))
+			Expect(nameOf(out[0])).To(Equal("browse"))
+		})
+	})
+})

core/http/endpoints/openai/chat_test.go

@@ -3,6 +3,8 @@ package openai
 import (
 	"github.com/mudler/LocalAI/core/config"
 	"github.com/mudler/LocalAI/pkg/functions"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
+	reason "github.com/mudler/LocalAI/pkg/reasoning"
 	. "github.com/onsi/ginkgo/v2"
 	. "github.com/onsi/gomega"
 
@@ -94,6 +96,98 @@ var _ = Describe("handleQuestion", func() {
 	})
 })
 
+var _ = Describe("applyAutoparserOverride", func() {
+	// Regression test for https://github.com/mudler/LocalAI/issues/9985.
+	// When LocalAI templates a <think>-style reasoning model outside of jinja
+	// (e.g. the gallery qwen3 entry), the llama.cpp autoparser falls back to
+	// the "pure content" PEG parser which dumps the entire raw response,
+	// including <think>…</think>, into ChatDelta.Content and leaves
+	// ChatDelta.ReasoningContent empty. The Go side previously trusted that
+	// content verbatim and clobbered the tokenCallback's correctly-split
+	// reasoning, so <think> blocks leaked into the OpenAI `content` field.
+	Context("autoparser delivered content with embedded <think> tags and empty reasoning (issue #9985)", func() {
+		It("splits <think>…</think> out of content into the reasoning field", func() {
+			raw := "<think>\nOkay, the user said \"Hello\". I should reply warmly.\n</think>\n\nHello! How can I assist you today? 😊"
+			chatDeltas := []*pb.ChatDelta{
+				{Content: raw, ReasoningContent: ""},
+			}
+
+			result := applyAutoparserOverride(chatDeltas, "", reason.Config{}, nil)
+
+			Expect(result).To(HaveLen(1))
+			Expect(result[0].Message).ToNot(BeNil())
+			Expect(result[0].Message.Content).ToNot(BeNil())
+
+			content := *(result[0].Message.Content.(*string))
+			Expect(content).ToNot(ContainSubstring("<think>"),
+				"raw <think> tag must not leak into OpenAI content field")
+			Expect(content).ToNot(ContainSubstring("</think>"),
+				"raw </think> tag must not leak into OpenAI content field")
+			Expect(content).To(ContainSubstring("Hello! How can I assist you today?"),
+				"the model's actual answer must still be in content")
+
+			Expect(result[0].Message.Reasoning).ToNot(BeNil(),
+				"reasoning extracted from <think>…</think> must populate Reasoning")
+			Expect(*result[0].Message.Reasoning).To(ContainSubstring("Okay, the user said"))
+		})
+
+		It("does not run extraction when the autoparser already populated reasoning", func() {
+			// When the autoparser actually classified reasoning, leave its
+			// content/reasoning split untouched.
+			content := "Hello! How can I assist you today?"
+			reasoning := "Already split by the C++ autoparser."
+			chatDeltas := []*pb.ChatDelta{
+				{Content: content, ReasoningContent: reasoning},
+			}
+
+			result := applyAutoparserOverride(chatDeltas, "", reason.Config{}, nil)
+
+			Expect(result).To(HaveLen(1))
+			Expect(*(result[0].Message.Content.(*string))).To(Equal(content))
+			Expect(result[0].Message.Reasoning).ToNot(BeNil())
+			Expect(*result[0].Message.Reasoning).To(Equal(reasoning))
+		})
+
+		It("passes plain content through unchanged when no reasoning tags are present", func() {
+			content := "Just a normal answer with no reasoning at all."
+			chatDeltas := []*pb.ChatDelta{
+				{Content: content, ReasoningContent: ""},
+			}
+
+			result := applyAutoparserOverride(chatDeltas, "", reason.Config{}, nil)
+
+			Expect(result).To(HaveLen(1))
+			Expect(*(result[0].Message.Content.(*string))).To(Equal(content))
+			Expect(result[0].Message.Reasoning).To(BeNil())
+		})
+
+		It("strips an empty <think></think> block (qwen3 /no_think mode)", func() {
+			// qwen3 with the /no_think directive still emits an empty thinking
+			// block. The Go-side fallback must strip it from content rather than
+			// pass <think></think> through verbatim. No reasoning is set because
+			// the block has no body.
+			raw := "<think>\n\n</think>\n\nHello! How can I assist you today?"
+			chatDeltas := []*pb.ChatDelta{
+				{Content: raw, ReasoningContent: ""},
+			}
+
+			result := applyAutoparserOverride(chatDeltas, "", reason.Config{}, nil)
+
+			Expect(result).To(HaveLen(1))
+			content := *(result[0].Message.Content.(*string))
+			Expect(content).ToNot(ContainSubstring("<think>"))
+			Expect(content).ToNot(ContainSubstring("</think>"))
+			Expect(content).To(ContainSubstring("Hello! How can I assist you today?"))
+		})
+
+		It("returns the existing result when chatDeltas is empty", func() {
+			existing := []schema.Choice{{Index: 7}}
+			result := applyAutoparserOverride(nil, "", reason.Config{}, existing)
+			Expect(result).To(Equal(existing))
+		})
+	})
+})
+
 var _ = Describe("mergeToolCallDeltas", func() {
 	Context("with new tool calls", func() {
 		It("should append new tool calls", func() {

core/http/endpoints/openai/realtime.go

@@ -1572,6 +1572,15 @@ func triggerResponseAtTurn(ctx context.Context, session *Session, conv *Conversa
 			"tool_calls", len(deltaToolCalls),
 			"content_len", len(deltaContent),
 			"reasoning_len", len(deltaReasoning))
+		// Issue #9985: when the autoparser only delivered content (no
+		// reasoning_content), it may be running in the "pure content"
+		// PEG fallback (non-jinja path) which leaves <think>…</think>
+		// embedded in the content. Run Go-side extraction defensively.
+		// ExtractReasoningWithConfig is a no-op when no tag pair matches,
+		// so it's safe to apply unconditionally in the no-reasoning branch.
+		if deltaReasoning == "" && deltaContent != "" {
+			deltaReasoning, deltaContent = reasoning.ExtractReasoningWithConfig(deltaContent, thinkingStartToken, config.ReasoningConfig)
+		}
 		reasoningText = deltaReasoning
 		responseWithoutReasoning = deltaContent
 		textContent = deltaContent

core/http/endpoints/openresponses/responses.go

@@ -1971,6 +1971,10 @@ func handleOpenResponsesStream(c echo.Context, responseID string, createdAt int6
 
 			// Source reasoning from: (1) ChatDeltas from C++ autoparser, (2) extractor's
 			// streaming state, (3) final extraction from the finetuned result.
+			// Issue #9985: when the autoparser delivered Content but no
+			// ReasoningContent, it was running in the "pure content" PEG fallback
+			// (non-jinja path) which leaves reasoning tags embedded in content.
+			// Fall back to the streaming Go-side extractor's split in that case.
 			if chatDeltaReasoning := functions.ReasoningFromChatDeltas(chatDeltas); chatDeltaReasoning != "" {
 				finalReasoning = chatDeltaReasoning
 				finalCleanedResult = functions.ContentFromChatDeltas(chatDeltas)

core/http/react-ui/.nycrc.json

@@ -0,0 +1,8 @@
+{
+  "all": true,
+  "include": ["src/**"],
+  "extension": [".js", ".jsx"],
+  "reporter": ["text-summary", "json-summary", "html"],
+  "report-dir": "coverage",
+  "temp-dir": ".nyc_output"
+}

core/http/react-ui/bun.lock

@@ -34,13 +34,15 @@
       "devDependencies": {
         "@eslint/js": "^9.27.0",
         "@playwright/test": "1.58.2",
-        "@vitejs/plugin-react": "^4.5.2",
+        "@vitejs/plugin-react": "^6.0.2",
         "eslint": "^9.27.0",
         "eslint-plugin-react-hooks": "^5.2.0",
         "eslint-plugin-react-refresh": "^0.4.20",
         "globals": "^16.1.0",
         "i18next-parser": "^9.4.0",
-        "vite": "^6.4.2",
+        "nyc": "^18.0.0",
+        "vite": "^8.0.14",
+        "vite-plugin-istanbul": "^9.0.0",
       },
     },
   },
@@ -61,8 +63,6 @@
 
     "@babel/helper-module-transforms": ["@babel/helper-module-transforms@7.28.6", "", { "dependencies": { "@babel/helper-module-imports": "^7.28.6", "@babel/helper-validator-identifier": "^7.28.5", "@babel/traverse": "^7.28.6" }, "peerDependencies": { "@babel/core": "^7.0.0" } }, "sha512-67oXFAYr2cDLDVGLXTEABjdBJZ6drElUSI7WKp70NrpyISso3plG9SAGEF6y7zbha/wOzUByWWTJvEDVNIUGcA=="],
 
-    "@babel/helper-plugin-utils": ["@babel/helper-plugin-utils@7.28.6", "", {}, "sha512-S9gzZ/bz83GRysI7gAD4wPT/AI3uCnY+9xn+Mx/KPs2JwHJIz1W8PZkg2cqyt3RNOBM8ejcXhV6y8Og7ly/Dug=="],
-
     "@babel/helper-string-parser": ["@babel/helper-string-parser@7.27.1", "", {}, "sha512-qMlSxKbpRlAridDExk92nSobyDdpPijUq2DW6oDnUqd0iOGxmQjyqhMIihI9+zv4LPyZdRje2cavWPbCbWm3eA=="],
 
     "@babel/helper-validator-identifier": ["@babel/helper-validator-identifier@7.28.5", "", {}, "sha512-qSs4ifwzKJSV39ucNjsvc6WVHs6b7S03sOh2OcHF9UHfVPqWWALUsNUVzhSBiItjRZoLHx7nIarVjqKVusUZ1Q=="],
@@ -73,10 +73,6 @@
 
     "@babel/parser": ["@babel/parser@7.29.0", "", { "dependencies": { "@babel/types": "^7.29.0" }, "bin": "./bin/babel-parser.js" }, "sha512-IyDgFV5GeDUVX4YdF/3CPULtVGSXXMLh1xVIgdCgxApktqnQV0r7/8Nqthg+8YLGaAtdyIlo2qIdZrbCv4+7ww=="],
 
-    "@babel/plugin-transform-react-jsx-self": ["@babel/plugin-transform-react-jsx-self@7.27.1", "", { "dependencies": { "@babel/helper-plugin-utils": "^7.27.1" }, "peerDependencies": { "@babel/core": "^7.0.0-0" } }, "sha512-6UzkCs+ejGdZ5mFFC/OCUrv028ab2fp1znZmCZjAOBKiBK2jXD1O+BPSfX8X2qjJ75fZBMSnQn3Rq2mrBJK2mw=="],
-
-    "@babel/plugin-transform-react-jsx-source": ["@babel/plugin-transform-react-jsx-source@7.27.1", "", { "dependencies": { "@babel/helper-plugin-utils": "^7.27.1" }, "peerDependencies": { "@babel/core": "^7.0.0-0" } }, "sha512-zbwoTsBruTeKB9hSq73ha66iFeJHuaFkUbwvqElnygoNbj/jHRsSeokowZFN3CZ64IvEqcmmkVe89OPXc7ldAw=="],
-
     "@babel/runtime": ["@babel/runtime@7.29.2", "", {}, "sha512-JiDShH45zKHWyGe4ZNVRrCjBz8Nh9TMmZG1kh4QTK8hCBTWBi8Da+i7s1fJw7/lYpM4ccepSNfqzZ/QvABBi5g=="],
 
     "@babel/template": ["@babel/template@7.28.6", "", { "dependencies": { "@babel/code-frame": "^7.28.6", "@babel/parser": "^7.28.6", "@babel/types": "^7.28.6" } }, "sha512-YA6Ma2KsCdGb+WC6UpBVFJGXL58MDA6oyONbjyF/+5sBgxY/dwkhLogbMT2GXXyU84/IhRw/2D1Os1B/giz+BQ=="],
@@ -101,6 +97,12 @@
 
     "@codemirror/view": ["@codemirror/view@6.40.0", "", { "dependencies": { "@codemirror/state": "^6.6.0", "crelt": "^1.0.6", "style-mod": "^4.1.0", "w3c-keyname": "^2.2.4" } }, "sha512-WA0zdU7xfF10+5I3HhUUq3kqOx3KjqmtQ9lqZjfK7jtYk4G72YW9rezcSywpaUMCWOMlq+6E0pO1IWg1TNIhtg=="],
 
+    "@emnapi/core": ["@emnapi/core@1.10.0", "", { "dependencies": { "@emnapi/wasi-threads": "1.2.1", "tslib": "^2.4.0" } }, "sha512-yq6OkJ4p82CAfPl0u9mQebQHKPJkY7WrIuk205cTYnYe+k2Z8YBh11FrbRG/H6ihirqcacOgl2BIO8oyMQLeXw=="],
+
+    "@emnapi/runtime": ["@emnapi/runtime@1.10.0", "", { "dependencies": { "tslib": "^2.4.0" } }, "sha512-ewvYlk86xUoGI0zQRNq/mC+16R1QeDlKQy21Ki3oSYXNgLb45GV1P6A0M+/s6nyCuNDqe5VpaY84BzXGwVbwFA=="],
+
+    "@emnapi/wasi-threads": ["@emnapi/wasi-threads@1.2.1", "", { "dependencies": { "tslib": "^2.4.0" } }, "sha512-uTII7OYF+/Mes/MrcIOYp5yOtSMLBWSIoLPpcgwipoiKbli6k322tcoFsxoIIxPDqW01SQGAgko4EzZi2BNv2w=="],
+
     "@esbuild/aix-ppc64": ["@esbuild/aix-ppc64@0.25.12", "", { "os": "aix", "cpu": "ppc64" }, "sha512-Hhmwd6CInZ3dwpuGTF8fJG6yoWmsToE+vYgD4nytZVxcu1ulHpUQRAB1UJ8+N1Am3Mz4+xOByoQoSZf4D+CpkA=="],
 
     "@esbuild/android-arm": ["@esbuild/android-arm@0.25.12", "", { "os": "android", "cpu": "arm" }, "sha512-VJ+sKvNA/GE7Ccacc9Cha7bpS8nyzVv0jdVgwNDaR4gDMC/2TTRc33Ip8qrNYUcpkOHUT5OZ0bUcNNVZQ9RLlg=="],
@@ -191,6 +193,10 @@
 
     "@isaacs/cliui": ["@isaacs/cliui@8.0.2", "", { "dependencies": { "string-width": "^5.1.2", "string-width-cjs": "npm:string-width@^4.2.0", "strip-ansi": "^7.0.1", "strip-ansi-cjs": "npm:strip-ansi@^6.0.1", "wrap-ansi": "^8.1.0", "wrap-ansi-cjs": "npm:wrap-ansi@^7.0.0" } }, "sha512-O8jcjabXaleOG9DQ0+ARXWZBTfnP4WNAqzuiJK7ll44AmxGKv/J2M4TPjxjY3znBCfvBXFzucm1twdyFybFqEA=="],
 
+    "@istanbuljs/load-nyc-config": ["@istanbuljs/load-nyc-config@1.1.0", "", { "dependencies": { "camelcase": "^5.3.1", "find-up": "^4.1.0", "get-package-type": "^0.1.0", "js-yaml": "^3.13.1", "resolve-from": "^5.0.0" } }, "sha512-VjeHSlIzpv/NyD3N0YuHfXOPDIixcA1q2ZV98wsMqcYlPmv2n3Yb2lYP9XMElnaFVXg5A7YLTeLu6V84uQDjmQ=="],
+
+    "@istanbuljs/schema": ["@istanbuljs/schema@0.1.6", "", {}, "sha512-+Sg6GCR/wy1oSmQDFq4LQDAhm3ETKnorxN+y5nbLULOR3P0c14f2Wurzj3/xqPXtasLFfHd5iRFQ7AJt4KH2cw=="],
+
     "@jridgewell/gen-mapping": ["@jridgewell/gen-mapping@0.3.13", "", { "dependencies": { "@jridgewell/sourcemap-codec": "^1.5.0", "@jridgewell/trace-mapping": "^0.3.24" } }, "sha512-2kkt/7niJ6MgEPxF0bYdQ6etZaA+fQvDcLKckhy1yIQOzaoKjBBjSj63/aLVjYE3qhRt5dvM+uUyfCg6UKCBbA=="],
 
     "@jridgewell/remapping": ["@jridgewell/remapping@2.3.5", "", { "dependencies": { "@jridgewell/gen-mapping": "^0.3.5", "@jridgewell/trace-mapping": "^0.3.24" } }, "sha512-LI9u/+laYG4Ds1TDKSJW2YPrIlcVYOwi2fUC6xB43lueCjgxV4lffOCZCtYFiH6TNOX+tQKXx97T4IKHbhyHEQ=="],
@@ -215,70 +221,50 @@
 
     "@modelcontextprotocol/sdk": ["@modelcontextprotocol/sdk@1.27.1", "", { "dependencies": { "@hono/node-server": "^1.19.9", "ajv": "^8.17.1", "ajv-formats": "^3.0.1", "content-type": "^1.0.5", "cors": "^2.8.5", "cross-spawn": "^7.0.5", "eventsource": "^3.0.2", "eventsource-parser": "^3.0.0", "express": "^5.2.1", "express-rate-limit": "^8.2.1", "hono": "^4.11.4", "jose": "^6.1.3", "json-schema-typed": "^8.0.2", "pkce-challenge": "^5.0.0", "raw-body": "^3.0.0", "zod": "^3.25 || ^4.0", "zod-to-json-schema": "^3.25.1" }, "peerDependencies": { "@cfworker/json-schema": "^4.1.1" }, "optionalPeers": ["@cfworker/json-schema"] }, "sha512-sr6GbP+4edBwFndLbM60gf07z0FQ79gaExpnsjMGePXqFcSSb7t6iscpjk9DhFhwd+mTEQrzNafGP8/iGGFYaA=="],
 
+    "@napi-rs/wasm-runtime": ["@napi-rs/wasm-runtime@1.1.4", "", { "dependencies": { "@tybys/wasm-util": "^0.10.1" }, "peerDependencies": { "@emnapi/core": "^1.7.1", "@emnapi/runtime": "^1.7.1" } }, "sha512-3NQNNgA1YSlJb/kMH1ildASP9HW7/7kYnRI2szWJaofaS1hWmbGI4H+d3+22aGzXXN9IJ+n+GiFVcGipJP18ow=="],
+
+    "@oxc-project/types": ["@oxc-project/types@0.132.0", "", {}, "sha512-FESMOxil5Se014ui/Eq8fT5uHJo6nIRwH0PfJrZJXs6Gek3ZVFOrpUv3YIZT20m+extU98Hg1Ym72U58rlsxUQ=="],
+
     "@pkgjs/parseargs": ["@pkgjs/parseargs@0.11.0", "", {}, "sha512-+1VkjdD0QBLPodGrJUeqarH8VAIvQODIbwh9XpP5Syisf7YoQgsJKPNFoqqLQlu+VQ/tVSshMR6loPMn8U+dPg=="],
 
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+    "@rolldown/binding-linux-ppc64-gnu": ["@rolldown/binding-linux-ppc64-gnu@1.0.2", "", { "os": "linux", "cpu": "ppc64" }, "sha512-hgO5Abm0w5UL6FEa2iFnZqo2KlK7TQ5QhV5x09hujBf7t5KzHQ1VmfPuTpqRy/rNlSxua3eWH374xxiVrP+lcA=="],
 
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+    "@rolldown/binding-linux-s390x-gnu": ["@rolldown/binding-linux-s390x-gnu@1.0.2", "", { "os": "linux", "cpu": "s390x" }, "sha512-fy8rXxuYEu602abC8MUNaPjYLIFzReOaEIEMKMUa0rFEUxNpVXhs15KSSQ4qlqSaM7B6rcj9rDZgADh/IGDzLQ=="],
 
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+    "@rolldown/binding-openharmony-arm64": ["@rolldown/binding-openharmony-arm64@1.0.2", "", { "os": "none", "cpu": "arm64" }, "sha512-1v5vHasdfQAZoEHakBV72LIFAC9JjnymsiKxp+GEr/ma3+NJCPSaYK+qavInOovJkgwFrs7GccX2d6IgDA3Z5w=="],
 
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+    "@rolldown/binding-wasm32-wasi": ["@rolldown/binding-wasm32-wasi@1.0.2", "", { "dependencies": { "@emnapi/core": "1.10.0", "@emnapi/runtime": "1.10.0", "@napi-rs/wasm-runtime": "^1.1.4" }, "cpu": "none" }, "sha512-mb1VobWn6NheziTk5/WEaR6AKVbrwT5sOi6C7zk3gy/pD1qtJfU1j4PgTo2NJnOtbL9Dl3Aeei8w9jJ7qC2jZQ=="],
 
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+    "@rolldown/binding-win32-arm64-msvc": ["@rolldown/binding-win32-arm64-msvc@1.0.2", "", { "os": "win32", "cpu": "arm64" }, "sha512-SqKonF56vA/L2yHwHYcEp2P34URpOZ7d1fS635cTkpDnUtEGdUbhI6NzsPdqeSWvAAeGDrxjWjNmibDIdFf9/A=="],
 
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+    "@rolldown/binding-win32-x64-msvc": ["@rolldown/binding-win32-x64-msvc@1.0.2", "", { "os": "win32", "cpu": "x64" }, "sha512-v7qRI7gXLRINcOGXt+7YmAZ6iFuyZVMIoXAxhd8oP+DR9dLfL9GfNIx7PLMxmhZdvq8waUJBQiWN9EKNy+TRBQ=="],
 
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+    "@rolldown/pluginutils": ["@rolldown/pluginutils@1.0.1", "", {}, "sha512-2j9bGt5Jh8hj+vPtgzPtl72j0yRxHAyumoo6TNfAjsLB04UtpSvPbPcDcBMxz7n+9CYB0c1GxQFxYRg2jimqGw=="],
 
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-
-    "@rollup/rollup-linux-s390x-gnu": ["@rollup/rollup-linux-s390x-gnu@4.59.0", "", { "os": "linux", "cpu": "s390x" }, "sha512-oF87Ie3uAIvORFBpwnCvUzdeYUqi2wY6jRFWJAy1qus/udHFYIkplYRW+wo+GRUP4sKzYdmE1Y3+rY5Gc4ZO+w=="],
-
-    "@rollup/rollup-linux-x64-gnu": ["@rollup/rollup-linux-x64-gnu@4.59.0", "", { "os": "linux", "cpu": "x64" }, "sha512-3AHmtQq/ppNuUspKAlvA8HtLybkDflkMuLK4DPo77DfthRb71V84/c4MlWJXixZz4uruIH4uaa07IqoAkG64fg=="],
-
-    "@rollup/rollup-linux-x64-musl": ["@rollup/rollup-linux-x64-musl@4.59.0", "", { "os": "linux", "cpu": "x64" }, "sha512-2UdiwS/9cTAx7qIUZB/fWtToJwvt0Vbo0zmnYt7ED35KPg13Q0ym1g442THLC7VyI6JfYTP4PiSOWyoMdV2/xg=="],
-
-    "@rollup/rollup-openbsd-x64": ["@rollup/rollup-openbsd-x64@4.59.0", "", { "os": "openbsd", "cpu": "x64" }, "sha512-M3bLRAVk6GOwFlPTIxVBSYKUaqfLrn8l0psKinkCFxl4lQvOSz8ZrKDz2gxcBwHFpci0B6rttydI4IpS4IS/jQ=="],
-
-    "@rollup/rollup-openharmony-arm64": ["@rollup/rollup-openharmony-arm64@4.59.0", "", { "os": "none", "cpu": "arm64" }, "sha512-tt9KBJqaqp5i5HUZzoafHZX8b5Q2Fe7UjYERADll83O4fGqJ49O1FsL6LpdzVFQcpwvnyd0i+K/VSwu/o/nWlA=="],
-
-    "@rollup/rollup-win32-arm64-msvc": ["@rollup/rollup-win32-arm64-msvc@4.59.0", "", { "os": "win32", "cpu": "arm64" }, "sha512-V5B6mG7OrGTwnxaNUzZTDTjDS7F75PO1ae6MJYdiMu60sq0CqN5CVeVsbhPxalupvTX8gXVSU9gq+Rx1/hvu6A=="],
-
-    "@rollup/rollup-win32-ia32-msvc": ["@rollup/rollup-win32-ia32-msvc@4.59.0", "", { "os": "win32", "cpu": "ia32" }, "sha512-UKFMHPuM9R0iBegwzKF4y0C4J9u8C6MEJgFuXTBerMk7EJ92GFVFYBfOZaSGLu6COf7FxpQNqhNS4c4icUPqxA=="],
-
-    "@rollup/rollup-win32-x64-gnu": ["@rollup/rollup-win32-x64-gnu@4.59.0", "", { "os": "win32", "cpu": "x64" }, "sha512-laBkYlSS1n2L8fSo1thDNGrCTQMmxjYY5G0WFWjFFYZkKPjsMBsgJfGf4TLxXrF6RyhI60L8TMOjBMvXiTcxeA=="],
-
-    "@rollup/rollup-win32-x64-msvc": ["@rollup/rollup-win32-x64-msvc@4.59.0", "", { "os": "win32", "cpu": "x64" }, "sha512-2HRCml6OztYXyJXAvdDXPKcawukWY2GpR5/nxKp4iBgiO3wcoEGkAaqctIbZcNB6KlUQBIqt8VYkNSj2397EfA=="],
-
-    "@types/babel__core": ["@types/babel__core@7.20.5", "", { "dependencies": { "@babel/parser": "^7.20.7", "@babel/types": "^7.20.7", "@types/babel__generator": "*", "@types/babel__template": "*", "@types/babel__traverse": "*" } }, "sha512-qoQprZvz5wQFJwMDqeseRXWv3rqMvhgpbXFfVyWhbx9X47POIA6i/+dXefEmZKoAgOaTdaIgNSMqMIU61yRyzA=="],
+    "@tybys/wasm-util": ["@tybys/wasm-util@0.10.2", "", { "dependencies": { "tslib": "^2.4.0" } }, "sha512-RoBvJ2X0wuKlWFIjrwffGw1IqZHKQqzIchKaadZZfnNpsAYp2mM0h36JtPCjNDAHGgYez/15uMBpfGwchhiMgg=="],
 
     "@types/babel__generator": ["@types/babel__generator@7.27.0", "", { "dependencies": { "@babel/types": "^7.0.0" } }, "sha512-ufFd2Xi92OAVPYsy+P4n7/U7e68fex0+Ee8gSG9KX7eo084CWiQ4sdxktvdl0bOPupXtVJPY19zk6EwWqUQ8lg=="],
 
-    "@types/babel__template": ["@types/babel__template@7.4.4", "", { "dependencies": { "@babel/parser": "^7.1.0", "@babel/types": "^7.0.0" } }, "sha512-h/NUaSyG5EyxBIp8YRxo4RMe2/qQgvyowRwVMzhYhBCONbW8PUsg4lkFMrhgZhUe5z3L3MiLDuvyJ/CaPa2A8A=="],
-
-    "@types/babel__traverse": ["@types/babel__traverse@7.28.0", "", { "dependencies": { "@babel/types": "^7.28.2" } }, "sha512-8PvcXf70gTDZBgt9ptxJ8elBeBjcLOAcOtoO/mPJjtji1+CdGbHgm77om1GrsPxsiE+uXIpNSK64UYaIwQXd4Q=="],
-
     "@types/estree": ["@types/estree@1.0.8", "", {}, "sha512-dWHzHa2WqEXI/O1E9OjrocMTKJl2mSrEolh1Iomrv6U+JuNwaHXsXx9bLu5gG7BUWFIN0skIQJQ/L1rIex4X6w=="],
 
     "@types/json-schema": ["@types/json-schema@7.0.15", "", {}, "sha512-5+fP8P8MFNC+AyZCDxrB2pkZFPGzqQWUzpSeuuVLvm8VMcorNYavBqoFcxK8bQz4Qsbn4oUEEem4wDLfcysGHA=="],
@@ -289,7 +275,7 @@
 
     "@types/trusted-types": ["@types/trusted-types@2.0.7", "", {}, "sha512-ScaPdn1dQczgbl0QFTeTOmVHFULt394XJgOQNoyVhZ6r2vLnMLJfBPd53SB52T/3G36VI1/g2MZaX0cwDuXsfw=="],
 
-    "@vitejs/plugin-react": ["@vitejs/plugin-react@4.7.0", "", { "dependencies": { "@babel/core": "^7.28.0", "@babel/plugin-transform-react-jsx-self": "^7.27.1", "@babel/plugin-transform-react-jsx-source": "^7.27.1", "@rolldown/pluginutils": "1.0.0-beta.27", "@types/babel__core": "^7.20.5", "react-refresh": "^0.17.0" }, "peerDependencies": { "vite": "^4.2.0 || ^5.0.0 || ^6.0.0 || ^7.0.0" } }, "sha512-gUu9hwfWvvEDBBmgtAowQCojwZmJ5mcLn3aufeCsitijs3+f2NsrPtlAWIR6OPiqljl96GVCUbLe0HyqIpVaoA=="],
+    "@vitejs/plugin-react": ["@vitejs/plugin-react@6.0.2", "", { "dependencies": { "@rolldown/pluginutils": "^1.0.0" }, "peerDependencies": { "@rolldown/plugin-babel": "^0.1.7 || ^0.2.0", "babel-plugin-react-compiler": "^1.0.0", "vite": "^8.0.0" }, "optionalPeers": ["@rolldown/plugin-babel", "babel-plugin-react-compiler"] }, "sha512-DlSMqo4WhThw4vB8Mpn0Woe9J+Jfq1geJ61AKW0QEgLzGMNwtIMdxbDUzLxcun8W7NbJO0e2Jg/Nxm3cCSVzzg=="],
 
     "accepts": ["accepts@2.0.0", "", { "dependencies": { "mime-types": "^3.0.0", "negotiator": "^1.0.0" } }, "sha512-5cvg6CtKwfgdmVqY1WIiXKc3Q1bkRqGLi+2W/6ao+6Y7gu/RCwRuAhGEzh5B4KlszSuTLgZYuqFqo5bImjNKng=="],
 
@@ -297,16 +283,22 @@
 
     "acorn-jsx": ["acorn-jsx@5.3.2", "", { "peerDependencies": { "acorn": "^6.0.0 || ^7.0.0 || ^8.0.0" } }, "sha512-rq9s+JNhf0IChjtDXxllJ7g41oZk5SlXtp0LHwyA5cejwn7vKmKp4pPri6YEePv2PU65sAsegbXtIinmDFDXgQ=="],
 
+    "aggregate-error": ["aggregate-error@3.1.0", "", { "dependencies": { "clean-stack": "^2.0.0", "indent-string": "^4.0.0" } }, "sha512-4I7Td01quW/RpocfNayFdFVk1qSuoh0E7JrbRJ16nH01HhKFQ88INq9Sd+nd72zqRySlr9BmDA8xlEJ6vJMrYA=="],
+
     "ajv": ["ajv@6.14.0", "", { "dependencies": { "fast-deep-equal": "^3.1.1", "fast-json-stable-stringify": "^2.0.0", "json-schema-traverse": "^0.4.1", "uri-js": "^4.2.2" } }, "sha512-IWrosm/yrn43eiKqkfkHis7QioDleaXQHdDVPKg0FSwwd/DuvyX79TZnFOnYpB7dcsFAMmtFztZuXPDvSePkFw=="],
 
     "ajv-formats": ["ajv-formats@3.0.1", "", { "dependencies": { "ajv": "^8.0.0" } }, "sha512-8iUql50EUR+uUcdRQ3HDqa6EVyo3docL8g5WJ3FNcWmu62IbkGUue/pEyLBW8VGKKucTPgqeks4fIU1DA4yowQ=="],
 
-    "ansi-regex": ["ansi-regex@6.2.2", "", {}, "sha512-Bq3SmSpyFHaWjPk8If9yc6svM8c56dB5BAtW4Qbw5jHTwwXXcTLoRMkpDJp6VL0XzlWaCHTXrkFURMYmD0sLqg=="],
+    "ansi-regex": ["ansi-regex@5.0.1", "", {}, "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ=="],
 
     "ansi-styles": ["ansi-styles@4.3.0", "", { "dependencies": { "color-convert": "^2.0.1" } }, "sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg=="],
 
     "anymatch": ["anymatch@3.1.3", "", { "dependencies": { "normalize-path": "^3.0.0", "picomatch": "^2.0.4" } }, "sha512-KMReFUr0B4t+D+OBkjR3KYqvocp2XaSzO55UcB6mgQMd3KbcE+mWTyvVV7D/zsdEbNnV6acZUutkiHQXvTr1Rw=="],
 
+    "append-transform": ["append-transform@2.0.0", "", { "dependencies": { "default-require-extensions": "^3.0.0" } }, "sha512-7yeyCEurROLQJFv5Xj4lEGTy0borxepjFv1g22oAdqFu//SrAlDl1O1Nxx15SH1RoliUml6p8dwJW9jvZughhg=="],
+
+    "archy": ["archy@1.0.0", "", {}, "sha512-Xg+9RwCg/0p32teKdGMPTPnVXKD0w3DfHnFTficozsAgsvq2XenPJq/MYpzzQ/v8zrOyJn6Ds39VA4JIDwFfqw=="],
+
     "argparse": ["argparse@2.0.1", "", {}, "sha512-8+9WqebbFzpX9OR+Wa6O29asIogeRMzcGtAINdpMHHyAg10f05aSFVBbcEqGf/PXw1EjAZ+q2/bEBg3DvurK3Q=="],
 
     "b4a": ["b4a@1.8.1", "", { "peerDependencies": { "react-native-b4a": "*" }, "optionalPeers": ["react-native-b4a"] }, "sha512-aiqre1Nr0B/6DgE2N5vwTc+2/oQZ4Wh1t4NznYY4E00y8LCt6NqdRv81so00oo27D8MVKTpUa/MwUUtBLXCoDw=="],
@@ -341,12 +333,16 @@
 
     "bytes": ["bytes@3.1.2", "", {}, "sha512-/Nf7TyzTx6S3yRJObOAV7956r8cr2+Oj8AC5dt8wSP3BQAoeX58NoHyCU8P8zGkNXStjTSi6fzO6F0pBdcYbEg=="],
 
+    "caching-transform": ["caching-transform@4.0.0", "", { "dependencies": { "hasha": "^5.0.0", "make-dir": "^3.0.0", "package-hash": "^4.0.0", "write-file-atomic": "^3.0.0" } }, "sha512-kpqOvwXnjjN44D89K5ccQC+RUrsy7jB/XLlRrx0D7/2HNcTPqzsb6XgYoErwko6QsV184CA2YgS1fxDiiDZMWA=="],
+
     "call-bind-apply-helpers": ["call-bind-apply-helpers@1.0.2", "", { "dependencies": { "es-errors": "^1.3.0", "function-bind": "^1.1.2" } }, "sha512-Sp1ablJ0ivDkSzjcaJdxEunN5/XvksFJ2sMBFfq6x0ryhQV/2b/KwFe21cMpmHtPOSij8K99/wSfoEuTObmuMQ=="],
 
     "call-bound": ["call-bound@1.0.4", "", { "dependencies": { "call-bind-apply-helpers": "^1.0.2", "get-intrinsic": "^1.3.0" } }, "sha512-+ys997U96po4Kx/ABpBCqhA9EuxJaQWDQg7295H4hBphv3IZg0boBKuwYpt4YXp6MZ5AmZQnU/tyMTlRpaSejg=="],
 
     "callsites": ["callsites@3.1.0", "", {}, "sha512-P8BjAsXvZS+VIDUI11hHCQEv74YT67YUi5JJFNWIqL235sBmjX4+qx9Muvls5ivyNENctx46xQLQ3aTuE7ssaQ=="],
 
+    "camelcase": ["camelcase@5.3.1", "", {}, "sha512-L28STB170nwWS63UjtlEOE3dldQApaJXZkOI1uMFfzf3rRuPegHaHesyee+YxQ+W6SvRDQV6UrdOdRiR153wJg=="],
+
     "caniuse-lite": ["caniuse-lite@1.0.30001776", "", {}, "sha512-sg01JDPzZ9jGshqKSckOQthXnYwOEP50jeVFhaSFbZcOy05TiuuaffDOfcwtCisJ9kNQuLBFibYywv2Bgm9osw=="],
 
     "chalk": ["chalk@4.1.2", "", { "dependencies": { "ansi-styles": "^4.1.0", "supports-color": "^7.1.0" } }, "sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA=="],
@@ -355,6 +351,10 @@
 
     "cheerio-select": ["cheerio-select@2.1.0", "", { "dependencies": { "boolbase": "^1.0.0", "css-select": "^5.1.0", "css-what": "^6.1.0", "domelementtype": "^2.3.0", "domhandler": "^5.0.3", "domutils": "^3.0.1" } }, "sha512-9v9kG0LvzrlcungtnJtpGNxY+fzECQKhK4EGJX2vByejiMX84MFNQw4UxPJl3bFbTMw+Dfs37XaIkCwTZfLh4g=="],
 
+    "clean-stack": ["clean-stack@2.2.0", "", {}, "sha512-4diC9HaTE+KRAMWhDhrGOECgWZxoevMc5TlkObMqNSsVU62PYzXZ/SMTjzyGAFF1YusgxGcSWTEXBhp0CPwQ1A=="],
+
+    "cliui": ["cliui@6.0.0", "", { "dependencies": { "string-width": "^4.2.0", "strip-ansi": "^6.0.0", "wrap-ansi": "^6.2.0" } }, "sha512-t6wbgtoCXvAzst7QgXxJYqPt0usEfbgQdftEPbLL/cvv6HPE5VgvqCuAIDR0NgU52ds6rFwqrgakNLrHEjCbrQ=="],
+
     "clone": ["clone@2.1.2", "", {}, "sha512-3Pe/CF1Nn94hyhIYpjtiLhdCoEoz0DqQ+988E9gmeEdQZlojxnOb74wctFyuwWQHzqyf9X7C7MG8juUpqBJT8w=="],
 
     "color-convert": ["color-convert@2.0.1", "", { "dependencies": { "color-name": "~1.1.4" } }, "sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ=="],
@@ -365,13 +365,15 @@
 
     "commander": ["commander@12.1.0", "", {}, "sha512-Vw8qHK3bZM9y/P10u3Vib8o/DdkvA2OtPtZvD871QKjy74Wj1WSKFILMPRPSdUSx5RFK1arlJzEtA4PkFgnbuA=="],
 
+    "commondir": ["commondir@1.0.1", "", {}, "sha512-W9pAhw0ja1Edb5GVdIF1mjZw/ASI0AlShXM83UUGe2DVr5TdAPEA1OA8m/g8zWp9x6On7gqufY+FatDbC3MDQg=="],
+
     "concat-map": ["concat-map@0.0.1", "", {}, "sha512-/Srv4dswyQNBfohGpz9o6Yb3Gz3SrUDqBH5rTuhGR7ahtlbYKnVxw2bCFMRljaA7EXHaXZ8wsHdodFvbkhKmqg=="],
 
     "content-disposition": ["content-disposition@1.0.1", "", {}, "sha512-oIXISMynqSqm241k6kcQ5UwttDILMK4BiurCfGEREw6+X9jkkpEe5T9FZaApyLGGOnFuyMWZpdolTXMtvEJ08Q=="],
 
     "content-type": ["content-type@1.0.5", "", {}, "sha512-nTjqfcBFEipKdXCv4YDQWCfmcLZKm81ldF0pAopTvyrFGVbcR6P/VAAd5G7N+0tTr8QqiU0tFadD6FK4NtJwOA=="],
 
-    "convert-source-map": ["convert-source-map@2.0.0", "", {}, "sha512-Kvp459HrV2FEJ1CAsi1Ku+MY3kasH19TFykTz2xWmMeq6bk2NU3XXvfJ+Q61m0xktWwt+1HSYf3JZsTms3aRJg=="],
+    "convert-source-map": ["convert-source-map@1.9.0", "", {}, "sha512-ASFBup0Mz1uyiIjANan1jzLQami9z1PoYSZCiiYW2FczPbenXc45FZdBZLzOT+r6+iciuEModtmCti+hjaAk0A=="],
 
     "cookie": ["cookie@0.7.2", "", {}, "sha512-yki5XnKuf750l50uGTllt6kKILY4nQ1eNIQatoXEByZ5dWgnKqbnqmTrBE5B4N7lrMJKQ2ytWMiTO2o0v6Ew/w=="],
 
@@ -393,10 +395,16 @@
 
     "debug": ["debug@4.4.3", "", { "dependencies": { "ms": "^2.1.3" } }, "sha512-RGwwWnwQvkVfavKVt22FGLw+xYSdzARwm0ru6DhTVA3umU5hZc28V3kO4stgYryrTlLpuvgI9GiijltAjNbcqA=="],
 
+    "decamelize": ["decamelize@1.2.0", "", {}, "sha512-z2S+W9X73hAUUki+N+9Za2lBlun89zigOyGrsax+KUQ6wKW4ZoWpEYBkGhQjwAjjDCkWxhY0VKEhk8wzY7F5cA=="],
+
     "deep-is": ["deep-is@0.1.4", "", {}, "sha512-oIPzksmTg4/MriiaYGO+okXDT7ztn/w3Eptv/+gSIdMdKsJo0u4CfYNFJPy+4SKMuCqGw2wxnA+URMg3t8a/bQ=="],
 
+    "default-require-extensions": ["default-require-extensions@3.0.1", "", { "dependencies": { "strip-bom": "^4.0.0" } }, "sha512-eXTJmRbm2TIt9MgWTsOH1wEuhew6XGZcMeGKCtLedIg/NCsg1iBePXkceTdK4Fii7pzmN9tGsZhKzZ4h7O/fxw=="],
+
     "depd": ["depd@2.0.0", "", {}, "sha512-g7nH6P6dyDioJogAAGprGpCtVImJhpPk/roCzdb3fIh61/s/nPsfR6onyMwkCAR/OlC3yBC0lESvUoQEAssIrw=="],
 
+    "detect-libc": ["detect-libc@2.1.2", "", {}, "sha512-Btj2BOOO83o3WyH59e8MgXsxEQVcarkUOpEYrubB0urwnN10yQ364rsiByU11nZlqWYZm05i/of7io4mzihBtQ=="],
+
     "dom-serializer": ["dom-serializer@2.0.0", "", { "dependencies": { "domelementtype": "^2.3.0", "domhandler": "^5.0.2", "entities": "^4.2.0" } }, "sha512-wIkAryiqt/nV5EQKqQpo3SToSOV9J0DnbJqwK7Wv/Trc92zIAYZ4FlMu+JPFW1DfGFt81ZTCGgDEabffXeLyJg=="],
 
     "domelementtype": ["domelementtype@2.3.0", "", {}, "sha512-OLETBj6w0OsagBwdXnPdN0cnMfF9opN69co+7ZrbfPGrdpPVNBUj02spi6B1N7wChLQiPn4CSH/zJvXw56gmHw=="],
@@ -415,7 +423,7 @@
 
     "electron-to-chromium": ["electron-to-chromium@1.5.307", "", {}, "sha512-5z3uFKBWjiNR44nFcYdkcXjKMbg5KXNdciu7mhTPo9tB7NbqSNP2sSnGR+fqknZSCwKkBN+oxiiajWs4dT6ORg=="],
 
-    "emoji-regex": ["emoji-regex@9.2.2", "", {}, "sha512-L18DaJsXSUk2+42pv8mLs5jJT2hqFkFE4j21wOmgbUqsZ2hL72NsUU785g9RXgo3s0ZNgVl42TiHp3ZtOv/Vyg=="],
+    "emoji-regex": ["emoji-regex@8.0.0", "", {}, "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A=="],
 
     "encodeurl": ["encodeurl@2.0.0", "", {}, "sha512-Q0n9HRi4m6JuGIV1eFlmvJB7ZEVxu93IrMyiMsGC0lrMJMWzRgx6WGquyfQgZVb31vhGgXnfmPNNXmxnOkRBrg=="],
 
@@ -433,6 +441,8 @@
 
     "es-object-atoms": ["es-object-atoms@1.1.1", "", { "dependencies": { "es-errors": "^1.3.0" } }, "sha512-FGgH2h8zKNim9ljj7dankFPcICIK9Cp5bm+c2gQSYePhpaG5+esrLODihIorn+Pe6FGJzWhXQotPv73jTaldXA=="],
 
+    "es6-error": ["es6-error@4.1.1", "", {}, "sha512-Um/+FxMr9CISWh0bi5Zv0iOD+4cFh5qLeks1qhAopKVAJw3drgKbKySikp7wGhDL0HPeaja0P5ULZrxLkniUVg=="],
+
     "esbuild": ["esbuild@0.25.12", "", { "optionalDependencies": { "@esbuild/aix-ppc64": "0.25.12", "@esbuild/android-arm": "0.25.12", "@esbuild/android-arm64": "0.25.12", "@esbuild/android-x64": "0.25.12", "@esbuild/darwin-arm64": "0.25.12", "@esbuild/darwin-x64": "0.25.12", "@esbuild/freebsd-arm64": "0.25.12", "@esbuild/freebsd-x64": "0.25.12", "@esbuild/linux-arm": "0.25.12", "@esbuild/linux-arm64": "0.25.12", "@esbuild/linux-ia32": "0.25.12", "@esbuild/linux-loong64": "0.25.12", "@esbuild/linux-mips64el": "0.25.12", "@esbuild/linux-ppc64": "0.25.12", "@esbuild/linux-riscv64": "0.25.12", "@esbuild/linux-s390x": "0.25.12", "@esbuild/linux-x64": "0.25.12", "@esbuild/netbsd-arm64": "0.25.12", "@esbuild/netbsd-x64": "0.25.12", "@esbuild/openbsd-arm64": "0.25.12", "@esbuild/openbsd-x64": "0.25.12", "@esbuild/openharmony-arm64": "0.25.12", "@esbuild/sunos-x64": "0.25.12", "@esbuild/win32-arm64": "0.25.12", "@esbuild/win32-ia32": "0.25.12", "@esbuild/win32-x64": "0.25.12" }, "bin": { "esbuild": "bin/esbuild" } }, "sha512-bbPBYYrtZbkt6Os6FiTLCTFxvq4tt3JKall1vRwshA3fdVztsLAatFaZobhkBC8/BrPetoa0oksYoKXoG4ryJg=="],
 
     "escalade": ["escalade@3.2.0", "", {}, "sha512-WUj2qlxaQtO4g6Pq5c29GTcWGDyd8itL8zTlipgECz3JesAiiOKotd8JU6otB3PACgG6xkJUyVhboMS+bje/jA=="],
@@ -453,6 +463,8 @@
 
     "espree": ["espree@10.4.0", "", { "dependencies": { "acorn": "^8.15.0", "acorn-jsx": "^5.3.2", "eslint-visitor-keys": "^4.2.1" } }, "sha512-j6PAQ2uUr79PZhBjP5C5fhl8e39FmRnOjsD5lGnWrFU8i2G776tBK7+nP8KuQUTTyAZUwfQqXAgrVH5MbH9CYQ=="],
 
+    "esprima": ["esprima@4.0.1", "", { "bin": { "esparse": "./bin/esparse.js", "esvalidate": "./bin/esvalidate.js" } }, "sha512-eGuFFw7Upda+g4p+QHvnW0RyTX/SVeJBDM/gCtMARO0cLuT2HcEKnTPvhjV6aGeqrCB/sbNop0Kszm0jsaWU4A=="],
+
     "esquery": ["esquery@1.7.0", "", { "dependencies": { "estraverse": "^5.1.0" } }, "sha512-Ap6G0WQwcU/LHsvLwON1fAQX9Zp0A2Y6Y/cJBl9r/JbW90Zyg4/zbG6zzKa2OTALELarYHmKu0GhpM5EO+7T0g=="],
 
     "esrecurse": ["esrecurse@4.3.0", "", { "dependencies": { "estraverse": "^5.2.0" } }, "sha512-KmfKL3b6G+RXvP8N1vr3Tq1kL/oCFgn2NYXEtqP8/L3pKapUA4G8cFVaoF3SU323CD4XypR/ffioHmkti6/Tag=="],
@@ -491,6 +503,8 @@
 
     "finalhandler": ["finalhandler@2.1.1", "", { "dependencies": { "debug": "^4.4.0", "encodeurl": "^2.0.0", "escape-html": "^1.0.3", "on-finished": "^2.4.1", "parseurl": "^1.3.3", "statuses": "^2.0.1" } }, "sha512-S8KoZgRZN+a5rNwqTxlZZePjT/4cnm0ROV70LedRHZ0p8u9fRID0hJUZQpkKLzro8LfmC8sx23bY6tVNxv8pQA=="],
 
+    "find-cache-dir": ["find-cache-dir@3.3.2", "", { "dependencies": { "commondir": "^1.0.1", "make-dir": "^3.0.2", "pkg-dir": "^4.1.0" } }, "sha512-wXZV5emFEjrridIgED11OoUKLxiYjAcqot/NJdAkOhlJ+vGzwhOAfcG5OX1jP+S0PcjEn8bdMJv+g2jwQ3Onig=="],
+
     "find-up": ["find-up@5.0.0", "", { "dependencies": { "locate-path": "^6.0.0", "path-exists": "^4.0.0" } }, "sha512-78/PXT1wlLLDgTzDs7sjq9hzz0vXD+zn+7wypEe4fXQxCmdmqfGsEPQxmiCSQI3ajFV91bVSsvNtrJRiW6nGng=="],
 
     "flat-cache": ["flat-cache@4.0.1", "", { "dependencies": { "flatted": "^3.2.9", "keyv": "^4.5.4" } }, "sha512-f7ccFPK3SXFHpx15UIGyRJ/FJQctuKZ0zVuN3frBo4HnK3cay9VEW0R6yPYFHC0AgqhukPzKjq22t5DmAyqGyw=="],
@@ -503,6 +517,8 @@
 
     "fresh": ["fresh@2.0.0", "", {}, "sha512-Rx/WycZ60HOaqLKAi6cHRKKI7zxWbJ31MhntmtwMoaTeF7XFH9hhBp8vITaMidfljRQ6eYWCKkaTK+ykVJHP2A=="],
 
+    "fromentries": ["fromentries@1.3.2", "", {}, "sha512-cHEpEQHUg0f8XdtZCc2ZAhrHzKzT0MrFUTcvx+hfxYu7rGMDc5SKoXFh+n4YigxsHXRzc6OrCshdR1bWH6HHyg=="],
+
     "fs-extra": ["fs-extra@11.3.4", "", { "dependencies": { "graceful-fs": "^4.2.0", "jsonfile": "^6.0.1", "universalify": "^2.0.0" } }, "sha512-CTXd6rk/M3/ULNQj8FBqBWHYBVYybQ3VPBw0xGKFe3tuH7ytT6ACnvzpIQ3UZtB8yvUKC2cXn1a+x+5EVQLovA=="],
 
     "fs-merger": ["fs-merger@3.2.1", "", { "dependencies": { "broccoli-node-api": "^1.7.0", "broccoli-node-info": "^2.1.0", "fs-extra": "^8.0.1", "fs-tree-diff": "^2.0.1", "walk-sync": "^2.2.0" } }, "sha512-AN6sX12liy0JE7C2evclwoo0aCG3PFulLjrTLsJpWh/2mM+DinhpSGqYLbHBBbIW1PLRNcFhJG8Axtz8mQW3ug=="],
@@ -519,11 +535,15 @@
 
     "gensync": ["gensync@1.0.0-beta.2", "", {}, "sha512-3hN7NaskYvMDLQY55gnW3NQ+mesEAepTqlg+VEbj7zzqEMBVNhzcGYYeqFo/TlYz6eQiFcp1HcsCZO+nGgS8zg=="],
 
+    "get-caller-file": ["get-caller-file@2.0.5", "", {}, "sha512-DyFP3BM/3YHTQOCUL/w0OZHR0lpKeGrxotcHWcqNEdnltqFwXVfhEBQ94eIo34AfQpo0rGki4cyIiftY06h2Fg=="],
+
     "get-intrinsic": ["get-intrinsic@1.3.0", "", { "dependencies": { "call-bind-apply-helpers": "^1.0.2", "es-define-property": "^1.0.1", "es-errors": "^1.3.0", "es-object-atoms": "^1.1.1", "function-bind": "^1.1.2", "get-proto": "^1.0.1", "gopd": "^1.2.0", "has-symbols": "^1.1.0", "hasown": "^2.0.2", "math-intrinsics": "^1.1.0" } }, "sha512-9fSjSaos/fRIVIp+xSJlE6lfwhES7LNtKaCBIamHsjr2na1BiABJPo0mOjjz8GJDURarmCPGqaiVg5mfjb98CQ=="],
 
+    "get-package-type": ["get-package-type@0.1.0", "", {}, "sha512-pjzuKtY64GYfWizNAJ0fr9VqttZkNiK2iS430LtIHzjBEr6bX8Am2zm4sW4Ro5wjWW5cAlRL1qAMTcXbjNAO2Q=="],
+
     "get-proto": ["get-proto@1.0.1", "", { "dependencies": { "dunder-proto": "^1.0.1", "es-object-atoms": "^1.0.0" } }, "sha512-sTSfBjoXBp89JvIKIefqw7U2CCebsc74kiY6awiGogKtoSGbgjYE/G/+l9sF3MWFPNc9IcoOC4ODfKHfxFmp0g=="],
 
-    "glob": ["glob@7.2.3", "", { "dependencies": { "fs.realpath": "^1.0.0", "inflight": "^1.0.4", "inherits": "2", "minimatch": "^3.1.1", "once": "^1.3.0", "path-is-absolute": "^1.0.0" } }, "sha512-nFR0zLpU2YCaRxwoCJvL6UvCH2JFyFVIvwTLsIf21AuHlMskA1hhTdk+LlYJtOlYt9v6dvszD2BGRqBL+iQK9Q=="],
+    "glob": ["glob@13.0.6", "", { "dependencies": { "minimatch": "^10.2.2", "minipass": "^7.1.3", "path-scurry": "^2.0.2" } }, "sha512-Wjlyrolmm8uDpm/ogGyXZXb1Z+Ca2B8NbJwqBVg0axK9GbBeoS7yGV6vjXnYdGm6X53iehEuxxbyiKp8QmN4Vw=="],
 
     "glob-parent": ["glob-parent@6.0.2", "", { "dependencies": { "is-glob": "^4.0.3" } }, "sha512-XxwI8EOhVQgWp6iDL+3b0r86f4d6AX6zSU55HfB4ydCEuXLXc5FcYeOu+nnGftS4TEju/11rt4KJPTMgbfmv4A=="],
 
@@ -541,6 +561,8 @@
 
     "has-symbols": ["has-symbols@1.1.0", "", {}, "sha512-1cDNdwJ2Jaohmb3sg4OmKaMBwuC48sYni5HUw2DvsC8LjGTLK9h+eb1X6RyuOHe4hT0ULCW68iomhjUoKUqlPQ=="],
 
+    "hasha": ["hasha@5.2.2", "", { "dependencies": { "is-stream": "^2.0.0", "type-fest": "^0.8.0" } }, "sha512-Hrp5vIK/xr5SkeN2onO32H0MgNZ0f17HRNH39WfL0SYUNOTZ5Lz1TJ8Pajo/87dYGEFlLMm7mIc/k/s6Bvz9HQ=="],
+
     "hasown": ["hasown@2.0.2", "", { "dependencies": { "function-bind": "^1.1.2" } }, "sha512-0hJU9SCPvmMzIBdZFqNPXWa6dqh7WdH0cII9y+CyS8rG3nL48Bclra9HmKhVVUHyPWNH5Y7xDwAB7bfgSjkUMQ=="],
 
     "heimdalljs": ["heimdalljs@0.2.6", "", { "dependencies": { "rsvp": "~3.2.1" } }, "sha512-o9bd30+5vLBvBtzCPwwGqpry2+n0Hi6H1+qwt6y+0kwRHGGF8TFIhJPmnuM0xO97zaKrDZMwO/V56fAnn8m/tA=="],
@@ -551,6 +573,8 @@
 
     "hono": ["hono@4.12.8", "", {}, "sha512-VJCEvtrezO1IAR+kqEYnxUOoStaQPGrCmX3j4wDTNOcD1uRPFpGlwQUIW8niPuvHXaTUxeOUl5MMDGrl+tmO9A=="],
 
+    "html-escaper": ["html-escaper@2.0.2", "", {}, "sha512-H2iMtd0I4Mt5eYiapRdIDjp+XzelXQ0tFE4JS7YFwFevXXMmOp9myNrUvCg0D6ws8iqkRPBfKHgbwig1SmlLfg=="],
+
     "html-parse-stringify": ["html-parse-stringify@3.0.1", "", { "dependencies": { "void-elements": "3.1.0" } }, "sha512-KknJ50kTInJ7qIScF3jeaFRpMpE8/lfiTdzf/twXyPBLAGrLRTmkz3AdTnKeh40X8k9L2fdYwEp/42WGXIRGcg=="],
 
     "htmlparser2": ["htmlparser2@10.1.0", "", { "dependencies": { "domelementtype": "^2.3.0", "domhandler": "^5.0.3", "domutils": "^3.2.2", "entities": "^7.0.1" } }, "sha512-VTZkM9GWRAtEpveh7MSF6SjjrpNVNNVJfFup7xTY3UpFtm67foy9HDVXneLtFVt4pMz5kZtgNcvCniNFb1hlEQ=="],
@@ -575,6 +599,8 @@
 
     "imurmurhash": ["imurmurhash@0.1.4", "", {}, "sha512-JmXMZ6wuvDmLiHEml9ykzqO6lwFbof0GG4IkcGaENdCRDDmMVnny7s5HsIgHCbaq0w2MyPhDqkhTUgS2LU2PHA=="],
 
+    "indent-string": ["indent-string@4.0.0", "", {}, "sha512-EdDDZu4A2OyIK7Lr/2zG+w5jmbuk1DVBnEwREQvBzspBJkCEbRa8GxU1lghYcaGJCnRWibjDXlq779X1/y5xwg=="],
+
     "inflight": ["inflight@1.0.6", "", { "dependencies": { "once": "^1.3.0", "wrappy": "1" } }, "sha512-k92I/b08q4wvFscXCLvqfsHCrjrF7yiXsQuIVvVE7N82W3+aqpzuUdBbfhWcy/FZR3/4IgflMgKLOsvPDrGCJA=="],
 
     "inherits": ["inherits@2.0.4", "", {}, "sha512-k/vGaX4/Yla3WzyMCvTQOXYeIHvqOKtnqBduzTHpzpQZzAskKMhZ2K+EnBiSM9zGSoIFeMpXKxa4dYeZIQqewQ=="],
@@ -595,12 +621,32 @@
 
     "is-promise": ["is-promise@4.0.0", "", {}, "sha512-hvpoI6korhJMnej285dSg6nu1+e6uxs7zG3BYAm5byqDsgJNWwxzM6z6iZiAgQR4TJ30JmBTOwqZUw3WlyH3AQ=="],
 
+    "is-stream": ["is-stream@2.0.1", "", {}, "sha512-hFoiJiTl63nn+kstHGBtewWSKnQLpyb155KHheA1l39uvtO9nWIop1p3udqPcUd/xbF1VLMO4n7OI6p7RbngDg=="],
+
+    "is-typedarray": ["is-typedarray@1.0.0", "", {}, "sha512-cyA56iCMHAh5CdzjJIa4aohJyeO1YbwLi3Jc35MmRU6poroFjIGZzUzupGiRPOjgHg9TLu43xbpwXk523fMxKA=="],
+
     "is-valid-glob": ["is-valid-glob@1.0.0", "", {}, "sha512-AhiROmoEFDSsjx8hW+5sGwgKVIORcXnrlAx/R0ZSeaPw70Vw0CqkGBBhHGL58Uox2eXnU1AnvXJl1XlyedO5bA=="],
 
+    "is-windows": ["is-windows@1.0.2", "", {}, "sha512-eXK1UInq2bPmjyX6e3VHIzMLobc4J94i4AWn+Hpq3OU5KkrRC96OAcR3PRJ/pGu6m8TRnBHP9dkXQVsT/COVIA=="],
+
     "isarray": ["isarray@1.0.0", "", {}, "sha512-VLghIWNM6ELQzo7zwmcg0NmTVyWKYjvIeM83yjp0wRDTmUnrM678fQbcKBo6n2CJEF0szoG//ytg+TKla89ALQ=="],
 
     "isexe": ["isexe@2.0.0", "", {}, "sha512-RHxMLp9lnKHGHRng9QFhRCMbYAcVpn69smSGcq3f36xjgVVWThj4qqLbTLlq7Ssj8B+fIQ1EuCEGI2lKsyQeIw=="],
 
+    "istanbul-lib-coverage": ["istanbul-lib-coverage@3.2.2", "", {}, "sha512-O8dpsF+r0WV/8MNRKfnmrtCWhuKjxrq2w+jpzBL5UZKTi2LeVWnWOmWRxFlesJONmc+wLAGvKQZEOanko0LFTg=="],
+
+    "istanbul-lib-hook": ["istanbul-lib-hook@3.0.0", "", { "dependencies": { "append-transform": "^2.0.0" } }, "sha512-Pt/uge1Q9s+5VAZ+pCo16TYMWPBIl+oaNIjgLQxcX0itS6ueeaA+pEfThZpH8WxhFgCiEb8sAJY6MdUKgiIWaQ=="],
+
+    "istanbul-lib-instrument": ["istanbul-lib-instrument@6.0.3", "", { "dependencies": { "@babel/core": "^7.23.9", "@babel/parser": "^7.23.9", "@istanbuljs/schema": "^0.1.3", "istanbul-lib-coverage": "^3.2.0", "semver": "^7.5.4" } }, "sha512-Vtgk7L/R2JHyyGW07spoFlB8/lpjiOLTjMdms6AFMraYt3BaJauod/NGrfnVG/y4Ix1JEuMRPDPEj2ua+zz1/Q=="],
+
+    "istanbul-lib-processinfo": ["istanbul-lib-processinfo@3.0.0", "", { "dependencies": { "archy": "^1.0.0", "cross-spawn": "^7.0.3", "istanbul-lib-coverage": "^3.2.0", "p-map": "^3.0.0", "rimraf": "^6.1.3", "uuid": "^8.3.2" } }, "sha512-P7nLXRRlo7Sqinty6lNa7+4o9jBUYGpqtejqCOZKfgXlRoxY/QArflcB86YO500Ahj4pDJEG34JjMRbQgePLnQ=="],
+
+    "istanbul-lib-report": ["istanbul-lib-report@3.0.1", "", { "dependencies": { "istanbul-lib-coverage": "^3.0.0", "make-dir": "^4.0.0", "supports-color": "^7.1.0" } }, "sha512-GCfE1mtsHGOELCU8e/Z7YWzpmybrx/+dSTfLrvY8qRmaY6zXTKWn6WQIjaAFw069icm6GVMNkgu0NzI4iPZUNw=="],
+
+    "istanbul-lib-source-maps": ["istanbul-lib-source-maps@4.0.1", "", { "dependencies": { "debug": "^4.1.1", "istanbul-lib-coverage": "^3.0.0", "source-map": "^0.6.1" } }, "sha512-n3s8EwkdFIJCG3BPKBYvskgXGoy88ARzvegkitk60NxRdwltLOTaH7CUiMRXvwYorl0Q712iEjcWB+fK/MrWVw=="],
+
+    "istanbul-reports": ["istanbul-reports@3.2.0", "", { "dependencies": { "html-escaper": "^2.0.0", "istanbul-lib-report": "^3.0.0" } }, "sha512-HGYWWS/ehqTV3xN10i23tkPkpH46MLCIMFNCaaKNavAXTF1RkqxawEPtnjnGZ6XKSInBKkiOA5BKS+aZiY3AvA=="],
+
     "jackspeak": ["jackspeak@3.4.3", "", { "dependencies": { "@isaacs/cliui": "^8.0.2" }, "optionalDependencies": { "@pkgjs/parseargs": "^0.11.0" } }, "sha512-OGlZQpz2yfahA/Rd1Y8Cd9SIEsqvXkLVoSw/cgwhnhFMDbsQFeZYoJJ7bIZBS9BcamUW96asq/npPWugM+RQBw=="],
 
     "jose": ["jose@6.2.2", "", {}, "sha512-d7kPDd34KO/YnzaDOlikGpOurfF0ByC2sEV4cANCtdqLlTfBlw2p14O/5d/zv40gJPbIQxfES3nSx1/oYNyuZQ=="],
@@ -629,13 +675,41 @@
 
     "levn": ["levn@0.4.1", "", { "dependencies": { "prelude-ls": "^1.2.1", "type-check": "~0.4.0" } }, "sha512-+bT2uH4E5LGE7h/n3evcS/sQlJXCpIp6ym8OWJ5eV6+67Dsql/LaaT7qJBAt2rzfoa/5QBGBhxDix1dMt2kQKQ=="],
 
+    "lightningcss": ["lightningcss@1.32.0", "", { "dependencies": { "detect-libc": "^2.0.3" }, "optionalDependencies": { "lightningcss-android-arm64": "1.32.0", "lightningcss-darwin-arm64": "1.32.0", "lightningcss-darwin-x64": "1.32.0", "lightningcss-freebsd-x64": "1.32.0", "lightningcss-linux-arm-gnueabihf": "1.32.0", "lightningcss-linux-arm64-gnu": "1.32.0", "lightningcss-linux-arm64-musl": "1.32.0", "lightningcss-linux-x64-gnu": "1.32.0", "lightningcss-linux-x64-musl": "1.32.0", "lightningcss-win32-arm64-msvc": "1.32.0", "lightningcss-win32-x64-msvc": "1.32.0" } }, "sha512-NXYBzinNrblfraPGyrbPoD19C1h9lfI/1mzgWYvXUTe414Gz/X1FD2XBZSZM7rRTrMA8JL3OtAaGifrIKhQ5yQ=="],
+
+    "lightningcss-android-arm64": ["lightningcss-android-arm64@1.32.0", "", { "os": "android", "cpu": "arm64" }, "sha512-YK7/ClTt4kAK0vo6w3X+Pnm0D2cf2vPHbhOXdoNti1Ga0al1P4TBZhwjATvjNwLEBCnKvjJc2jQgHXH0NEwlAg=="],
+
+    "lightningcss-darwin-arm64": ["lightningcss-darwin-arm64@1.32.0", "", { "os": "darwin", "cpu": "arm64" }, "sha512-RzeG9Ju5bag2Bv1/lwlVJvBE3q6TtXskdZLLCyfg5pt+HLz9BqlICO7LZM7VHNTTn/5PRhHFBSjk5lc4cmscPQ=="],
+
+    "lightningcss-darwin-x64": ["lightningcss-darwin-x64@1.32.0", "", { "os": "darwin", "cpu": "x64" }, "sha512-U+QsBp2m/s2wqpUYT/6wnlagdZbtZdndSmut/NJqlCcMLTWp5muCrID+K5UJ6jqD2BFshejCYXniPDbNh73V8w=="],
+
+    "lightningcss-freebsd-x64": ["lightningcss-freebsd-x64@1.32.0", "", { "os": "freebsd", "cpu": "x64" }, "sha512-JCTigedEksZk3tHTTthnMdVfGf61Fky8Ji2E4YjUTEQX14xiy/lTzXnu1vwiZe3bYe0q+SpsSH/CTeDXK6WHig=="],
+
+    "lightningcss-linux-arm-gnueabihf": ["lightningcss-linux-arm-gnueabihf@1.32.0", "", { "os": "linux", "cpu": "arm" }, "sha512-x6rnnpRa2GL0zQOkt6rts3YDPzduLpWvwAF6EMhXFVZXD4tPrBkEFqzGowzCsIWsPjqSK+tyNEODUBXeeVHSkw=="],
+
+    "lightningcss-linux-arm64-gnu": ["lightningcss-linux-arm64-gnu@1.32.0", "", { "os": "linux", "cpu": "arm64" }, "sha512-0nnMyoyOLRJXfbMOilaSRcLH3Jw5z9HDNGfT/gwCPgaDjnx0i8w7vBzFLFR1f6CMLKF8gVbebmkUN3fa/kQJpQ=="],
+
+    "lightningcss-linux-arm64-musl": ["lightningcss-linux-arm64-musl@1.32.0", "", { "os": "linux", "cpu": "arm64" }, "sha512-UpQkoenr4UJEzgVIYpI80lDFvRmPVg6oqboNHfoH4CQIfNA+HOrZ7Mo7KZP02dC6LjghPQJeBsvXhJod/wnIBg=="],
+
+    "lightningcss-linux-x64-gnu": ["lightningcss-linux-x64-gnu@1.32.0", "", { "os": "linux", "cpu": "x64" }, "sha512-V7Qr52IhZmdKPVr+Vtw8o+WLsQJYCTd8loIfpDaMRWGUZfBOYEJeyJIkqGIDMZPwPx24pUMfwSxxI8phr/MbOA=="],
+
+    "lightningcss-linux-x64-musl": ["lightningcss-linux-x64-musl@1.32.0", "", { "os": "linux", "cpu": "x64" }, "sha512-bYcLp+Vb0awsiXg/80uCRezCYHNg1/l3mt0gzHnWV9XP1W5sKa5/TCdGWaR/zBM2PeF/HbsQv/j2URNOiVuxWg=="],
+
+    "lightningcss-win32-arm64-msvc": ["lightningcss-win32-arm64-msvc@1.32.0", "", { "os": "win32", "cpu": "arm64" }, "sha512-8SbC8BR40pS6baCM8sbtYDSwEVQd4JlFTOlaD3gWGHfThTcABnNDBda6eTZeqbofalIJhFx0qKzgHJmcPTnGdw=="],
+
+    "lightningcss-win32-x64-msvc": ["lightningcss-win32-x64-msvc@1.32.0", "", { "os": "win32", "cpu": "x64" }, "sha512-Amq9B/SoZYdDi1kFrojnoqPLxYhQ4Wo5XiL8EVJrVsB8ARoC1PWW6VGtT0WKCemjy8aC+louJnjS7U18x3b06Q=="],
+
     "lilconfig": ["lilconfig@3.1.3", "", {}, "sha512-/vlFKAoH5Cgt3Ie+JLhRbwOsCQePABiU3tJ1egGvyQ+33R/vcwM2Zl2QR/LzjsBeItPt3oSVXapn+m4nQDvpzw=="],
 
     "locate-path": ["locate-path@6.0.0", "", { "dependencies": { "p-locate": "^5.0.0" } }, "sha512-iPZK6eYjbxRu3uB4/WZ3EsEIMJFMqAoopl3R+zuq0UjcAm/MO6KCweDgPfP3elTztoKP3KtnVHxTn2NHBSDVUw=="],
 
+    "lodash.flattendeep": ["lodash.flattendeep@4.4.0", "", {}, "sha512-uHaJFihxmJcEX3kT4I23ABqKKalJ/zDrDg0lsFtc1h+3uw49SIJ5beyhx5ExVRti3AvKoOJngIj7xz3oylPdWQ=="],
+
     "lodash.merge": ["lodash.merge@4.6.2", "", {}, "sha512-0KpjqXRVvrYyCsX1swR/XTK0va6VQkQM6MNo7PqW77ByjAhoARA8EfrP1N4+KlKj8YS0ZUCtRT/YUuhyYDujIQ=="],
 
-    "lru-cache": ["lru-cache@5.1.1", "", { "dependencies": { "yallist": "^3.0.2" } }, "sha512-KpNARQA3Iwv+jTA0utUVVbrh+Jlrr1Fv0e56GGzAFOXN7dk/FviaDW8LHmK52DlcH4WP2n6gI8vN1aesBFgo9w=="],
+    "lru-cache": ["lru-cache@11.5.0", "", {}, "sha512-5YgH9UJd7wVb9hIouI2adWpgqrrICkt070Dnj8EUY1+B4B2P9eRLPAkAAo6NICA7CEhOIeBHl46u9zSNpNu7zA=="],
+
+    "make-dir": ["make-dir@3.1.0", "", { "dependencies": { "semver": "^6.0.0" } }, "sha512-g3FeP20LNwhALb/6Cz6Dd4F2ngze0jz7tbzrD2wAV+o9FeNHe4rL+yK2md0J/fiSf1sa1ADhXqi5+oVwOM/eGw=="],
 
     "marked": ["marked@15.0.12", "", { "bin": { "marked": "bin/marked.js" } }, "sha512-8dD6FusOQSrpv9Z1rdNMdlSgQOIP880DHqnohobOmYLElGEqAL/JvxvuxZO16r4HtjTlfPRDC1hbvxC9dPN2nA=="],
 
@@ -659,7 +733,7 @@
 
     "ms": ["ms@2.1.3", "", {}, "sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA=="],
 
-    "nanoid": ["nanoid@3.3.11", "", { "bin": { "nanoid": "bin/nanoid.cjs" } }, "sha512-N8SpfPUnUp1bK+PMYW8qSWdl9U+wwNWI4QKxOYDy9JAro3WMX7p2OeVRF9v+347pnakNevPmiHhNmZ2HbFA76w=="],
+    "nanoid": ["nanoid@3.3.12", "", { "bin": { "nanoid": "bin/nanoid.cjs" } }, "sha512-ZB9RH/39qpq5Vu6Y+NmUaFhQR6pp+M2Xt76XBnEwDaGcVAqhlvxrl3B2bKS5D3NH3QR76v3aSrKaF/Kiy7lEtQ=="],
 
     "natural-compare": ["natural-compare@1.4.0", "", {}, "sha512-OWND8ei3VtNC9h7V60qff3SVobHr996CTwgxubgyQYEpg290h9J0buyECNNJexkFm5sOajh5G116RYA1c8ZMSw=="],
 
@@ -667,6 +741,8 @@
 
     "node-fetch": ["node-fetch@2.7.0", "", { "dependencies": { "whatwg-url": "^5.0.0" }, "peerDependencies": { "encoding": "^0.1.0" }, "optionalPeers": ["encoding"] }, "sha512-c4FRfUm/dbcWZ7U+1Wq0AwCyFL+3nt2bEw05wfxSz+DWpWsitgmSgYmy2dQdWyKC1694ELPqMs/YzUSNozLt8A=="],
 
+    "node-preload": ["node-preload@0.2.1", "", { "dependencies": { "process-on-spawn": "^1.0.0" } }, "sha512-RM5oyBy45cLEoHqCeh+MNuFAxO0vTFBLskvQbOKnEE7YTTSN4tbN8QWDIPQ6L+WvKsB/qLEGpYe2ZZ9d4W9OIQ=="],
+
     "node-releases": ["node-releases@2.0.36", "", {}, "sha512-TdC8FSgHz8Mwtw9g5L4gR/Sh9XhSP/0DEkQxfEFXOpiul5IiHgHan2VhYYb6agDSfp4KuvltmGApc8HMgUrIkA=="],
 
     "normalize-path": ["normalize-path@3.0.0", "", {}, "sha512-6eZs5Ls3WtCisHWp9S2GUy8dqkpGi4BVSz3GaqiE6ezub0512ESztXUwUB6C6IKbQkY2Pnb/mD4WYojCRwcwLA=="],
@@ -675,6 +751,8 @@
 
     "nth-check": ["nth-check@2.1.1", "", { "dependencies": { "boolbase": "^1.0.0" } }, "sha512-lqjrjmaOoAnWfMmBPL+XNnynZh2+swxiX3WUE0s4yEHI6m+AwrK2UZOimIRl3X/4QctVqS8AiZjFqyOGrMXb/w=="],
 
+    "nyc": ["nyc@18.0.0", "", { "dependencies": { "@istanbuljs/load-nyc-config": "^1.0.0", "@istanbuljs/schema": "^0.1.2", "caching-transform": "^4.0.0", "convert-source-map": "^1.7.0", "decamelize": "^1.2.0", "find-cache-dir": "^3.2.0", "find-up": "^4.1.0", "foreground-child": "^3.3.0", "get-package-type": "^0.1.0", "glob": "^13.0.6", "istanbul-lib-coverage": "^3.0.0", "istanbul-lib-hook": "^3.0.0", "istanbul-lib-instrument": "^6.0.2", "istanbul-lib-processinfo": "^3.0.0", "istanbul-lib-report": "^3.0.0", "istanbul-lib-source-maps": "^4.0.0", "istanbul-reports": "^3.0.2", "make-dir": "^3.0.0", "node-preload": "^0.2.1", "p-map": "^3.0.0", "process-on-spawn": "^1.0.0", "resolve-from": "^5.0.0", "rimraf": "^6.1.3", "signal-exit": "^3.0.2", "spawn-wrap": "^3.0.0", "test-exclude": "^8.0.0", "yargs": "^15.0.2" }, "bin": { "nyc": "bin/nyc.js" } }, "sha512-G5UyHinFkB1BxqGTrmZdB6uIYH0+v7ZnVssuflUDi+J+RhKWyAhRT1RCehBSI6jLFLuUUgFDyLt49mUtdO1XeQ=="],
+
     "object-assign": ["object-assign@4.1.1", "", {}, "sha512-rJgTQnkUnH1sFw8yT6VSU3zD3sWmu6sZhIseY8VX+GRu3P6F7Fu+JNDoXfklElbLJSnc3FUQHVe4cU5hj+BcUg=="],
 
     "object-inspect": ["object-inspect@1.13.4", "", {}, "sha512-W67iLl4J2EXEGTbfeHCffrjDfitvLANg0UlX3wFUUSTx92KXRFegMHUVgSqE+wvhAbi4WqjGg9czysTV2Epbew=="],
@@ -689,6 +767,12 @@
 
     "p-locate": ["p-locate@5.0.0", "", { "dependencies": { "p-limit": "^3.0.2" } }, "sha512-LaNjtRWUBY++zB5nE/NwcaoMylSPk+S+ZHNB1TzdbMJMny6dynpAGt7X/tl/QYq3TIeE6nxHppbo2LGymrG5Pw=="],
 
+    "p-map": ["p-map@3.0.0", "", { "dependencies": { "aggregate-error": "^3.0.0" } }, "sha512-d3qXVTF/s+W+CdJ5A29wywV2n8CQQYahlgz2bFiA+4eVNJbHJodPZ+/gXwPGh0bOqA+j8S+6+ckmvLGPk1QpxQ=="],
+
+    "p-try": ["p-try@2.2.0", "", {}, "sha512-R4nPAVTAU0B9D35/Gk3uJf/7XYbQcyohSKdvAxIRSNghFl4e71hVoGnBNQz9cWaXxO2I10KTC+3jMdvvoKw6dQ=="],
+
+    "package-hash": ["package-hash@4.0.0", "", { "dependencies": { "graceful-fs": "^4.1.15", "hasha": "^5.0.0", "lodash.flattendeep": "^4.4.0", "release-zalgo": "^1.0.0" } }, "sha512-whdkPIooSu/bASggZ96BWVvZTRMOFxnyUG5PnTSGKoJE2gd5mbVNmR2Nj20QFzxYYgAXpoqC+AiXzl+UMRh7zQ=="],
+
     "package-json-from-dist": ["package-json-from-dist@1.0.1", "", {}, "sha512-UEZIS3/by4OC8vL3P2dTXRETpebLI2NiI5vIrjaD/5UtrkFX/tNbwjTSRAGC/+7CAo2pIcBaRgWmcBBHcsaCIw=="],
 
     "parent-module": ["parent-module@1.0.1", "", { "dependencies": { "callsites": "^3.0.0" } }, "sha512-GQ2EWRpQV8/o+Aw8YqtfZZPfNRWZYkbidE9k5rpl/hC3vtHHBfGm2Ifi6qWV+coDGkrUKZAxE3Lot5kcsRlh+g=="],
@@ -709,26 +793,30 @@
 
     "path-posix": ["path-posix@1.0.0", "", {}, "sha512-1gJ0WpNIiYcQydgg3Ed8KzvIqTsDpNwq+cjBCssvBtuTWjEqY1AW+i+OepiEMqDCzyro9B2sLAe4RBPajMYFiA=="],
 
-    "path-scurry": ["path-scurry@1.11.1", "", { "dependencies": { "lru-cache": "^10.2.0", "minipass": "^5.0.0 || ^6.0.2 || ^7.0.0" } }, "sha512-Xa4Nw17FS9ApQFJ9umLiJS4orGjm7ZzwUrwamcGQuHSzDyth9boKDaycYdDcZDuqYATXw4HFXgaqWTctW/v1HA=="],
+    "path-scurry": ["path-scurry@2.0.2", "", { "dependencies": { "lru-cache": "^11.0.0", "minipass": "^7.1.2" } }, "sha512-3O/iVVsJAPsOnpwWIeD+d6z/7PmqApyQePUtCndjatj/9I5LylHvt5qluFaBT3I5h3r1ejfR056c+FCv+NnNXg=="],
 
     "path-to-regexp": ["path-to-regexp@8.3.0", "", {}, "sha512-7jdwVIRtsP8MYpdXSwOS0YdD0Du+qOoF/AEPIt88PcCFrZCzx41oxku1jD88hZBwbNUIEfpqvuhjFaMAqMTWnA=="],
 
     "picocolors": ["picocolors@1.1.1", "", {}, "sha512-xceH2snhtb5M9liqDsmEw56le376mTZkEX/jEb/RxNFyegNul7eNslCXP9FDj/Lcu0X8KEyMceP2ntpaHrDEVA=="],
 
-    "picomatch": ["picomatch@4.0.3", "", {}, "sha512-5gTmgEY/sqK6gFXLIsQNH19lWb4ebPDLA4SdLP7dsWkIXHWlG66oPuVvXSGFPppYZz8ZDZq0dYYrbHfBCVUb1Q=="],
+    "picomatch": ["picomatch@4.0.4", "", {}, "sha512-QP88BAKvMam/3NxH6vj2o21R6MjxZUAd6nlwAS/pnGvN9IVLocLHxGYIzFhg6fUQ+5th6P4dv4eW9jX3DSIj7A=="],
 
     "pkce-challenge": ["pkce-challenge@5.0.1", "", {}, "sha512-wQ0b/W4Fr01qtpHlqSqspcj3EhBvimsdh0KlHhH8HRZnMsEa0ea2fTULOXOS9ccQr3om+GcGRk4e+isrZWV8qQ=="],
 
+    "pkg-dir": ["pkg-dir@4.2.0", "", { "dependencies": { "find-up": "^4.0.0" } }, "sha512-HRDzbaKjC+AOWVXxAU/x54COGeIv9eb+6CkDSQoNTt4XyWoIJvuPsXizxu/Fr23EiekbtZwmh1IcIG/l/a10GQ=="],
+
     "playwright": ["playwright@1.58.2", "", { "dependencies": { "playwright-core": "1.58.2" }, "optionalDependencies": { "fsevents": "2.3.2" }, "bin": { "playwright": "cli.js" } }, "sha512-vA30H8Nvkq/cPBnNw4Q8TWz1EJyqgpuinBcHET0YVJVFldr8JDNiU9LaWAE1KqSkRYazuaBhTpB5ZzShOezQ6A=="],
 
     "playwright-core": ["playwright-core@1.58.2", "", { "bin": { "playwright-core": "cli.js" } }, "sha512-yZkEtftgwS8CsfYo7nm0KE8jsvm6i/PTgVtB8DL726wNf6H2IMsDuxCpJj59KDaxCtSnrWan2AeDqM7JBaultg=="],
 
-    "postcss": ["postcss@8.5.8", "", { "dependencies": { "nanoid": "^3.3.11", "picocolors": "^1.1.1", "source-map-js": "^1.2.1" } }, "sha512-OW/rX8O/jXnm82Ey1k44pObPtdblfiuWnrd8X7GJ7emImCOstunGbXUpp7HdBrFQX6rJzn3sPT397Wp5aCwCHg=="],
+    "postcss": ["postcss@8.5.15", "", { "dependencies": { "nanoid": "^3.3.12", "picocolors": "^1.1.1", "source-map-js": "^1.2.1" } }, "sha512-FfR8sjd4em2T6fb3I2MwAJU7HWVMr9zba+enmQeeWFfCbm+UOC/0X4DS8XtpUTMwWMGbjKYP7xjfNekzyGmB3A=="],
 
     "prelude-ls": ["prelude-ls@1.2.1", "", {}, "sha512-vkcDPrRZo1QZLbn5RLGPpg/WmIQ65qoWWhcGKf/b5eplkkarX0m9z8ppCat4mlOqUsWpyNuYgO3VRyrYHSzX5g=="],
 
     "process-nextick-args": ["process-nextick-args@2.0.1", "", {}, "sha512-3ouUOpQhtgrbOa17J7+uxOTpITYWaGP7/AhoR3+A+/1e9skrzelGi/dXzEYyvbxubEF6Wn2ypscTKiKJFFn1ag=="],
 
+    "process-on-spawn": ["process-on-spawn@1.1.0", "", { "dependencies": { "fromentries": "^1.2.0" } }, "sha512-JOnOPQ/8TZgjs1JIH/m9ni7FfimjNa/PRx7y/Wb5qdItsnhO0jE4AT7fC0HjC28DUQWDr50dwSYZLdRMlqDq3Q=="],
+
     "promise-map-series": ["promise-map-series@0.3.0", "", {}, "sha512-3npG2NGhTc8BWBolLLf8l/92OxMGaRLbqvIh9wjCHhDXNvk4zsxaTaCpiCunW09qWPrN2zeNSNwRLVBrQQtutA=="],
 
     "proxy-addr": ["proxy-addr@2.0.7", "", { "dependencies": { "forwarded": "0.2.0", "ipaddr.js": "1.9.1" } }, "sha512-llQsMLSUDUPT44jdrU/O37qlnifitDP+ZwrmmZcoSKyLKvtZxpyV0n2/bD/N4tBAAZ/gJEdZU7KMraoK1+XYAg=="],
@@ -749,29 +837,33 @@
 
     "react-i18next": ["react-i18next@17.0.6", "", { "dependencies": { "@babel/runtime": "^7.29.2", "html-parse-stringify": "^3.0.1", "use-sync-external-store": "^1.6.0" }, "peerDependencies": { "i18next": ">= 26.0.1", "react": ">= 16.8.0", "typescript": "^5 || ^6" }, "optionalPeers": ["typescript"] }, "sha512-WzJ6SMKF+GTD7JZZqxSR1AKKmXjaSu39sClUrNlwxS4Tl7a99O+ltFy6yhPMO+wgZuxpQjJ2PZkfrQKmAqrLhw=="],
 
-    "react-refresh": ["react-refresh@0.17.0", "", {}, "sha512-z6F7K9bV85EfseRCp2bzrpyQ0Gkw1uLoCel9XBVWPg/TjRj94SkJzUTGfOa4bs7iJvBWtQG0Wq7wnI0syw3EBQ=="],
-
     "react-router": ["react-router@7.13.1", "", { "dependencies": { "cookie": "^1.0.1", "set-cookie-parser": "^2.6.0" }, "peerDependencies": { "react": ">=18", "react-dom": ">=18" }, "optionalPeers": ["react-dom"] }, "sha512-td+xP4X2/6BJvZoX6xw++A2DdEi++YypA69bJUV5oVvqf6/9/9nNlD70YO1e9d3MyamJEBQFEzk6mbfDYbqrSA=="],
 
     "react-router-dom": ["react-router-dom@7.13.1", "", { "dependencies": { "react-router": "7.13.1" }, "peerDependencies": { "react": ">=18", "react-dom": ">=18" } }, "sha512-UJnV3Rxc5TgUPJt2KJpo1Jpy0OKQr0AjgbZzBFjaPJcFOb2Y8jA5H3LT8HUJAiRLlWrEXWHbF1Z4SCZaQjWDHw=="],
 
     "readable-stream": ["readable-stream@2.3.8", "", { "dependencies": { "core-util-is": "~1.0.0", "inherits": "~2.0.3", "isarray": "~1.0.0", "process-nextick-args": "~2.0.0", "safe-buffer": "~5.1.1", "string_decoder": "~1.1.1", "util-deprecate": "~1.0.1" } }, "sha512-8p0AUk4XODgIewSi0l8Epjs+EVnWiK7NoDIEGU0HhE7+ZyY8D1IMY7odu5lRrFXGg71L15KG8QrPmum45RTtdA=="],
 
+    "release-zalgo": ["release-zalgo@1.0.0", "", { "dependencies": { "es6-error": "^4.0.1" } }, "sha512-gUAyHVHPPC5wdqX/LG4LWtRYtgjxyX78oanFNTMMyFEfOqdC54s3eE82imuWKbOeqYht2CrNf64Qb8vgmmtZGA=="],
+
     "remove-trailing-separator": ["remove-trailing-separator@1.1.0", "", {}, "sha512-/hS+Y0u3aOfIETiaiirUFwDBDzmXPvO+jAfKTitUngIPzdKc6Z0LoFjM/CK5PL4C+eKwHohlHAb6H0VFfmmUsw=="],
 
     "replace-ext": ["replace-ext@2.0.0", "", {}, "sha512-UszKE5KVK6JvyD92nzMn9cDapSk6w/CaFZ96CnmDMUqH9oowfxF/ZjRITD25H4DnOQClLA4/j7jLGXXLVKxAug=="],
 
+    "require-directory": ["require-directory@2.1.1", "", {}, "sha512-fGxEI7+wsG9xrvdjsrlmL22OMTTiHRwAMroiEeMgq8gzoLC/PQr7RsRDSTLUg/bZAZtF+TVIkHc6/4RIKrui+Q=="],
+
     "require-from-string": ["require-from-string@2.0.2", "", {}, "sha512-Xf0nWe6RseziFMu+Ap9biiUbmplq6S9/p+7w7YXP/JBHhrUDDUhwa+vANyubuqfZWTveU//DYVGsDG7RKL/vEw=="],
 
-    "resolve-from": ["resolve-from@4.0.0", "", {}, "sha512-pb/MYmXstAkysRFx8piNI1tGFNQIFA3vkE3Gq4EuA1dF6gHp/+vgZqsCGJapvy8N3Q+4o7FwvquPJcnZ7RYy4g=="],
+    "require-main-filename": ["require-main-filename@2.0.0", "", {}, "sha512-NKN5kMDylKuldxYLSUfrbo5Tuzh4hd+2E8NPPX02mZtn1VuREQToYe/ZdlJy+J3uCpfaiGF05e7B8W0iXbQHmg=="],
+
+    "resolve-from": ["resolve-from@5.0.0", "", {}, "sha512-qYg9KP24dD5qka9J47d0aVky0N+b4fTU89LN9iDnjB5waksiC49rvMB0PrUJQGoTmH50XPiqOvAjDfaijGxYZw=="],
 
     "resolve-options": ["resolve-options@2.0.0", "", { "dependencies": { "value-or-function": "^4.0.0" } }, "sha512-/FopbmmFOQCfsCx77BRFdKOniglTiHumLgwvd6IDPihy1GKkadZbgQJBcTb2lMzSR1pndzd96b1nZrreZ7+9/A=="],
 
     "reusify": ["reusify@1.1.0", "", {}, "sha512-g6QUff04oZpHs0eG5p83rFLhHeV00ug/Yf9nZM6fLeUrPguBTkTQOdpAWWspMh55TZfVQDPaN3NQJfbVRAxdIw=="],
 
-    "rimraf": ["rimraf@3.0.2", "", { "dependencies": { "glob": "^7.1.3" }, "bin": { "rimraf": "bin.js" } }, "sha512-JZkJMZkAGFFPP2YqXZXPbMlMBgsxzE8ILs4lMIX/2o0L9UBw9O/Y3o6wFw/i9YLapcUJWwqbi3kdxIPdC62TIA=="],
+    "rimraf": ["rimraf@6.1.3", "", { "dependencies": { "glob": "^13.0.3", "package-json-from-dist": "^1.0.1" }, "bin": { "rimraf": "dist/esm/bin.mjs" } }, "sha512-LKg+Cr2ZF61fkcaK1UdkH2yEBBKnYjTyWzTJT6KNPcSPaiT7HSdhtMXQuN5wkTX0Xu72KQ1l8S42rlmexS2hSA=="],
 
-    "rollup": ["rollup@4.59.0", "", { "dependencies": { "@types/estree": "1.0.8" }, "optionalDependencies": { "@rollup/rollup-android-arm-eabi": "4.59.0", "@rollup/rollup-android-arm64": "4.59.0", "@rollup/rollup-darwin-arm64": "4.59.0", "@rollup/rollup-darwin-x64": "4.59.0", "@rollup/rollup-freebsd-arm64": "4.59.0", "@rollup/rollup-freebsd-x64": "4.59.0", "@rollup/rollup-linux-arm-gnueabihf": "4.59.0", "@rollup/rollup-linux-arm-musleabihf": "4.59.0", "@rollup/rollup-linux-arm64-gnu": "4.59.0", "@rollup/rollup-linux-arm64-musl": "4.59.0", "@rollup/rollup-linux-loong64-gnu": "4.59.0", "@rollup/rollup-linux-loong64-musl": "4.59.0", "@rollup/rollup-linux-ppc64-gnu": "4.59.0", "@rollup/rollup-linux-ppc64-musl": "4.59.0", "@rollup/rollup-linux-riscv64-gnu": "4.59.0", "@rollup/rollup-linux-riscv64-musl": "4.59.0", "@rollup/rollup-linux-s390x-gnu": "4.59.0", "@rollup/rollup-linux-x64-gnu": "4.59.0", "@rollup/rollup-linux-x64-musl": "4.59.0", "@rollup/rollup-openbsd-x64": "4.59.0", "@rollup/rollup-openharmony-arm64": "4.59.0", "@rollup/rollup-win32-arm64-msvc": "4.59.0", "@rollup/rollup-win32-ia32-msvc": "4.59.0", "@rollup/rollup-win32-x64-gnu": "4.59.0", "@rollup/rollup-win32-x64-msvc": "4.59.0", "fsevents": "~2.3.2" }, "bin": { "rollup": "dist/bin/rollup" } }, "sha512-2oMpl67a3zCH9H79LeMcbDhXW/UmWG/y2zuqnF2jQq5uq9TbM9TVyXvA4+t+ne2IIkBdrLpAaRQAvo7YI/Yyeg=="],
+    "rolldown": ["rolldown@1.0.2", "", { "dependencies": { "@oxc-project/types": "=0.132.0", "@rolldown/pluginutils": "^1.0.0" }, "optionalDependencies": { "@rolldown/binding-android-arm64": "1.0.2", "@rolldown/binding-darwin-arm64": "1.0.2", "@rolldown/binding-darwin-x64": "1.0.2", "@rolldown/binding-freebsd-x64": "1.0.2", "@rolldown/binding-linux-arm-gnueabihf": "1.0.2", "@rolldown/binding-linux-arm64-gnu": "1.0.2", "@rolldown/binding-linux-arm64-musl": "1.0.2", "@rolldown/binding-linux-ppc64-gnu": "1.0.2", "@rolldown/binding-linux-s390x-gnu": "1.0.2", "@rolldown/binding-linux-x64-gnu": "1.0.2", "@rolldown/binding-linux-x64-musl": "1.0.2", "@rolldown/binding-openharmony-arm64": "1.0.2", "@rolldown/binding-wasm32-wasi": "1.0.2", "@rolldown/binding-win32-arm64-msvc": "1.0.2", "@rolldown/binding-win32-x64-msvc": "1.0.2" }, "bin": { "rolldown": "./bin/cli.mjs" } }, "sha512-oZx5zVDtVB44AW3eaifgDml1gWRDZGvjcfdxonE4swNPG98PrrXjaO/KrnUjzlMnztCCRVlUueA1kCXhARGk6g=="],
 
     "router": ["router@2.2.0", "", { "dependencies": { "debug": "^4.4.0", "depd": "^2.0.0", "is-promise": "^4.0.0", "parseurl": "^1.3.3", "path-to-regexp": "^8.0.0" } }, "sha512-nLTrUKm2UyiL7rlhapu/Zl45FwNgkZGaCpZbIHajDYgwlJCOzLSk+cIPAnsEqV955GjILJnKbdQC1nVPz+gAYQ=="],
 
@@ -783,12 +875,14 @@
 
     "scheduler": ["scheduler@0.27.0", "", {}, "sha512-eNv+WrVbKu1f3vbYJT/xtiF5syA5HPIMtf9IgY/nKg0sWqzAUEvqY/xm7OcZc/qafLx/iO9FgOmeSAp4v5ti/Q=="],
 
-    "semver": ["semver@6.3.1", "", { "bin": { "semver": "bin/semver.js" } }, "sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA=="],
+    "semver": ["semver@7.8.1", "", { "bin": { "semver": "bin/semver.js" } }, "sha512-rkVq3IXh+4FDGch+KwzX3aV9W3kO54GyEgpvBzSyctDA6Xtd7RJQV1xmXbeQp5v7+VzLOfVqiutSE6GICgPFvg=="],
 
     "send": ["send@1.2.1", "", { "dependencies": { "debug": "^4.4.3", "encodeurl": "^2.0.0", "escape-html": "^1.0.3", "etag": "^1.8.1", "fresh": "^2.0.0", "http-errors": "^2.0.1", "mime-types": "^3.0.2", "ms": "^2.1.3", "on-finished": "^2.4.1", "range-parser": "^1.2.1", "statuses": "^2.0.2" } }, "sha512-1gnZf7DFcoIcajTjTwjwuDjzuz4PPcY2StKPlsGAQ1+YH20IRVrBaXSWmdjowTJ6u8Rc01PoYOGHXfP1mYcZNQ=="],
 
     "serve-static": ["serve-static@2.2.1", "", { "dependencies": { "encodeurl": "^2.0.0", "escape-html": "^1.0.3", "parseurl": "^1.3.3", "send": "^1.2.0" } }, "sha512-xRXBn0pPqQTVQiC8wyQrKs2MOlX24zQ0POGaj0kultvoOCstBQM5yvOhAVSUwOMjQtTvsPWoNCHfPGwaaQJhTw=="],
 
+    "set-blocking": ["set-blocking@2.0.0", "", {}, "sha512-KiKBS8AnWGEyLzofFfmvKwpdPzqiy16LvQfK3yv/fVH7Bj13/wl3JSR1J+rfgRE9q7xUJK4qvgS8raSOeLUehw=="],
+
     "set-cookie-parser": ["set-cookie-parser@2.7.2", "", {}, "sha512-oeM1lpU/UvhTxw+g3cIfxXHyJRc/uidd3yK1P242gzHds0udQBYzs3y8j4gCCW+ZJ7ad0yctld8RYO+bdurlvw=="],
 
     "setprototypeof": ["setprototypeof@1.2.0", "", {}, "sha512-E5LDX7Wrp85Kil5bhZv46j8jOeboKq5JMmYM3gVGdGH8xFpPWXUMsNrlODCrkoxMEeNi/XZIwuRvY4XNwYMJpw=="],
@@ -805,12 +899,16 @@
 
     "side-channel-weakmap": ["side-channel-weakmap@1.0.2", "", { "dependencies": { "call-bound": "^1.0.2", "es-errors": "^1.3.0", "get-intrinsic": "^1.2.5", "object-inspect": "^1.13.3", "side-channel-map": "^1.0.1" } }, "sha512-WPS/HvHQTYnHisLo9McqBHOJk2FkHO/tlpvldyrnem4aeQp4hai3gythswg6p01oSoTl58rcpiFAjF2br2Ak2A=="],
 
-    "signal-exit": ["signal-exit@4.1.0", "", {}, "sha512-bzyZ1e88w9O1iNJbKnOlvYTrWPDl46O1bG0D3XInv+9tkPrxrN8jUUTiFlDkkmKWgn1M6CfIA13SuGqOa9Korw=="],
+    "signal-exit": ["signal-exit@3.0.7", "", {}, "sha512-wnD2ZE+l+SPC/uoS0vXeE9L1+0wuaMqKlfz9AMUo38JsyLSBWSFcHR1Rri62LZc12vLr1gb3jl7iwQhgwpAbGQ=="],
 
     "sort-keys": ["sort-keys@5.1.0", "", { "dependencies": { "is-plain-obj": "^4.0.0" } }, "sha512-aSbHV0DaBcr7u0PVHXzM6NbZNAtrr9sF6+Qfs9UUVG7Ll3jQ6hHi8F/xqIIcn2rvIVbr0v/2zyjSdwSV47AgLQ=="],
 
+    "source-map": ["source-map@0.7.6", "", {}, "sha512-i5uvt8C3ikiWeNZSVZNWcfZPItFQOsYTUAOkcUPGd8DqDy1uOUikjt5dG+uRlwyvR108Fb9DOd4GvXfT0N2/uQ=="],
+
     "source-map-js": ["source-map-js@1.2.1", "", {}, "sha512-UXWMKhLOwVKb728IUtQPXxfYU+usdybtUrK/8uGE8CQMvrhOpwvzDBwj0QhSL7MQc7vIsISBG8VQ8+IDQxpfQA=="],
 
+    "spawn-wrap": ["spawn-wrap@3.0.0", "", { "dependencies": { "cross-spawn": "^7.0.6", "foreground-child": "^2.0.0", "is-windows": "^1.0.2", "make-dir": "^3.0.0", "rimraf": "^6.1.3", "signal-exit": "^3.0.2", "which": "^2.0.1" } }, "sha512-z+s5vv4KzFPJVddGab0xX2n7kQPGMdNUX5l9T8EJqsXdKTWpcxmAqWHpsgHEXoC1taGBCc7b79bi62M5kdbrxQ=="],
+
     "sprintf-js": ["sprintf-js@1.1.3", "", {}, "sha512-Oo+0REFV59/rz3gfJNKQiBlwfHaSESl1pcGyABQsnnIfWOFt6JNj5gCog2U6MLZ//IGYD+nA8nI+mTShREReaA=="],
 
     "statuses": ["statuses@2.0.2", "", {}, "sha512-DvEy55V3DB7uknRo+4iOGT5fP1slR8wQohVdknigZPMpMstaKJQWhwiYBACJE3Ul2pTnATihhBYnRhZQHGBiRw=="],
@@ -819,16 +917,18 @@
 
     "streamx": ["streamx@2.25.0", "", { "dependencies": { "events-universal": "^1.0.0", "fast-fifo": "^1.3.2", "text-decoder": "^1.1.0" } }, "sha512-0nQuG6jf1w+wddNEEXCF4nTg3LtufWINB5eFEN+5TNZW7KWJp6x87+JFL43vaAUPyCfH1wID+mNVyW6OHtFamg=="],
 
-    "string-width": ["string-width@5.1.2", "", { "dependencies": { "eastasianwidth": "^0.2.0", "emoji-regex": "^9.2.2", "strip-ansi": "^7.0.1" } }, "sha512-HnLOCR3vjcY8beoNLtcjZ5/nxn2afmME6lhrDrebokqMap+XbeW8n9TXpPDOqdGK5qcI3oT0GKTW6wC7EMiVqA=="],
+    "string-width": ["string-width@4.2.3", "", { "dependencies": { "emoji-regex": "^8.0.0", "is-fullwidth-code-point": "^3.0.0", "strip-ansi": "^6.0.1" } }, "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g=="],
 
     "string-width-cjs": ["string-width@4.2.3", "", { "dependencies": { "emoji-regex": "^8.0.0", "is-fullwidth-code-point": "^3.0.0", "strip-ansi": "^6.0.1" } }, "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g=="],
 
     "string_decoder": ["string_decoder@1.1.1", "", { "dependencies": { "safe-buffer": "~5.1.0" } }, "sha512-n/ShnvDi6FHbbVfviro+WojiFzv+s8MPMHBczVePfUpDJLwoLT0ht1l4YwBCbi8pJAveEEdnkHyPyTP/mzRfwg=="],
 
-    "strip-ansi": ["strip-ansi@7.2.0", "", { "dependencies": { "ansi-regex": "^6.2.2" } }, "sha512-yDPMNjp4WyfYBkHnjIRLfca1i6KMyGCtsVgoKe/z1+6vukgaENdgGBZt+ZmKPc4gavvEZ5OgHfHdrazhgNyG7w=="],
+    "strip-ansi": ["strip-ansi@6.0.1", "", { "dependencies": { "ansi-regex": "^5.0.1" } }, "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A=="],
 
     "strip-ansi-cjs": ["strip-ansi@6.0.1", "", { "dependencies": { "ansi-regex": "^5.0.1" } }, "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A=="],
 
+    "strip-bom": ["strip-bom@4.0.0", "", {}, "sha512-3xurFv5tEgii33Zi8Jtp55wEIILR9eh34FAW00PZf+JnSsTmV/ioewSgQl97JHvgjoRGwPShsWm+IdrxB35d0w=="],
+
     "strip-json-comments": ["strip-json-comments@3.1.1", "", {}, "sha512-6fPc+R4ihwqP6N/aIv2f1gMH8lOVtWQHoqC4yK6oSDVVocumAsfCqjkXnqiYMhmMwS/mEHLp7Vehlt3ql6lEig=="],
 
     "style-mod": ["style-mod@4.1.3", "", {}, "sha512-i/n8VsZydrugj3Iuzll8+x/00GH2vnYsk1eomD8QiRrSAeW6ItbCQDtfXCeJHd0iwiNagqjQkvpvREEPtW3IoQ=="],
@@ -839,11 +939,13 @@
 
     "teex": ["teex@1.0.1", "", { "dependencies": { "streamx": "^2.12.5" } }, "sha512-eYE6iEI62Ni1H8oIa7KlDU6uQBtqr4Eajni3wX7rpfXD8ysFx8z0+dri+KWEPWpBsxXfxu58x/0jvTVT1ekOSg=="],
 
+    "test-exclude": ["test-exclude@8.0.0", "", { "dependencies": { "@istanbuljs/schema": "^0.1.2", "glob": "^13.0.6", "minimatch": "^10.2.2" } }, "sha512-ZOffsNrXYggvU1mDGHk54I96r26P8SyMjO5slMKSc7+IWmtB/MQKnEC2fP51imB3/pT6YK5cT5E8f+Dd9KdyOQ=="],
+
     "text-decoder": ["text-decoder@1.2.7", "", { "dependencies": { "b4a": "^1.6.4" } }, "sha512-vlLytXkeP4xvEq2otHeJfSQIRyWxo/oZGEbXrtEEF9Hnmrdly59sUbzZ/QgyWuLYHctCHxFF4tRQZNQ9k60ExQ=="],
 
     "through2": ["through2@2.0.5", "", { "dependencies": { "readable-stream": "~2.3.6", "xtend": "~4.0.1" } }, "sha512-/mrRod8xqpA+IHSLyGCQ2s8SPHiCDEeQJSep1jqLYeEUClOFG2Qsh+4FU6G9VeqpZnGW/Su8LQGc4YKni5rYSQ=="],
 
-    "tinyglobby": ["tinyglobby@0.2.15", "", { "dependencies": { "fdir": "^6.5.0", "picomatch": "^4.0.3" } }, "sha512-j2Zq4NyQYG5XMST4cbs02Ak8iJUdxRM0XI5QyxXuZOzKOINmWurp3smXu3y5wDcJrptwpSjgXHzIQxR0omXljQ=="],
+    "tinyglobby": ["tinyglobby@0.2.16", "", { "dependencies": { "fdir": "^6.5.0", "picomatch": "^4.0.4" } }, "sha512-pn99VhoACYR8nFHhxqix+uvsbXineAasWm5ojXoN8xEwK5Kd3/TrhNn1wByuD52UxWRLy8pu+kRMniEi6Eq9Zg=="],
 
     "to-through": ["to-through@3.0.0", "", { "dependencies": { "streamx": "^2.12.5" } }, "sha512-y8MN937s/HVhEoBU1SxfHC+wxCHkV1a9gW8eAdTadYh/bGyesZIVcbjI+mSpFbSVwQici/XjBjuUyri1dnXwBw=="],
 
@@ -851,10 +953,16 @@
 
     "tr46": ["tr46@0.0.3", "", {}, "sha512-N3WMsuqV66lT30CrXNbEjx4GEwlow3v6rr4mCcv6prnfwhS01rkgyFdjPNBYd9br7LpXV1+Emh01fHnq2Gdgrw=="],
 
+    "tslib": ["tslib@2.8.1", "", {}, "sha512-oJFu94HQb+KVduSUQL7wnpmqnfmLsOA/nAh6b6EH0wCEoK0/mPeXU6c3wKDV83MkOuHPRHtSXKKU99IBazS/2w=="],
+
     "type-check": ["type-check@0.4.0", "", { "dependencies": { "prelude-ls": "^1.2.1" } }, "sha512-XleUoc9uwGXqjWwXaUTZAmzMcFZ5858QA2vvx1Ur5xIcixXIP+8LnFDgRplU30us6teqdlskFfu+ae4K79Ooew=="],
 
+    "type-fest": ["type-fest@0.8.1", "", {}, "sha512-4dbzIzqvjtgiM5rw1k5rEHtBANKmdudhGyBEajN01fEyhaAIhsoKNy6y7+IN93IfpFtwY9iqi7kD+xwKhQsNJA=="],
+
     "type-is": ["type-is@2.0.1", "", { "dependencies": { "content-type": "^1.0.5", "media-typer": "^1.1.0", "mime-types": "^3.0.0" } }, "sha512-OZs6gsjF4vMp32qrCbiVSkrFmXtG/AZhY3t0iAMrMBiAZyV9oALtXO8hsrHbMXF9x6L3grlFuwW2oAz7cav+Gw=="],
 
+    "typedarray-to-buffer": ["typedarray-to-buffer@3.1.5", "", { "dependencies": { "is-typedarray": "^1.0.0" } }, "sha512-zdu8XMNEDepKKR+XYOXAVPtWui0ly0NtohUscw+UmaHiAWT8hrV1rr//H6V+0DvJ3OQ19S979M0laLfX8rm82Q=="],
+
     "typescript": ["typescript@5.9.3", "", { "bin": { "tsc": "bin/tsc", "tsserver": "bin/tsserver" } }, "sha512-jl1vZzPDinLr9eUt3J/t7V6FgNEw9QjvBPdysz9KfQDD41fQrC2Y4vKQdiaUpFT4bXlb1RHhLpp8wtm6M5TgSw=="],
 
     "underscore.string": ["underscore.string@3.3.6", "", { "dependencies": { "sprintf-js": "^1.1.1", "util-deprecate": "^1.0.2" } }, "sha512-VoC83HWXmCrF6rgkyxS9GHv8W9Q5nhMKho+OadDJGzL2oDYbYEppBaCMH6pFlwLeqj2QS+hhkw2kpXkSdD1JxQ=="],
@@ -873,6 +981,8 @@
 
     "util-deprecate": ["util-deprecate@1.0.2", "", {}, "sha512-EPD5q1uXyFxJpCrLnCc1nHnq3gOa6DZBocAIiI2TaSCA7VCJ1UJDMagCzIkXNsUYfD1daK//LTEQ8xiIbrHtcw=="],
 
+    "uuid": ["uuid@8.3.2", "", { "bin": { "uuid": "dist/bin/uuid" } }, "sha512-+NYs2QeMWy+GWFOEm9xnn6HCDp0l7QBD7ml8zLUmJ+93Q5NF0NocErnwkTkXVFNiX3/fpC6afS8Dhb/gz7R7eg=="],
+
     "value-or-function": ["value-or-function@4.0.0", "", {}, "sha512-aeVK81SIuT6aMJfNo9Vte8Dw0/FZINGBV8BfCraGtqVxIeLAEhJyoWs8SmvRVmXfGss2PmmOwZCuBPbZR+IYWg=="],
 
     "vary": ["vary@1.1.2", "", {}, "sha512-BNGbWLfd0eUPabhkXUVm0j8uuvREyTh5ovRa/dyow/BqAbZJyC+5fU+IzQOzmAKzYqYRAISoRhdQr3eIZ/PXqg=="],
@@ -885,7 +995,9 @@
 
     "vinyl-sourcemap": ["vinyl-sourcemap@2.0.0", "", { "dependencies": { "convert-source-map": "^2.0.0", "graceful-fs": "^4.2.10", "now-and-later": "^3.0.0", "streamx": "^2.12.5", "vinyl": "^3.0.0", "vinyl-contents": "^2.0.0" } }, "sha512-BAEvWxbBUXvlNoFQVFVHpybBbjW1r03WhohJzJDSfgrrK5xVYIDTan6xN14DlyImShgDRv2gl9qhM6irVMsV0Q=="],
 
-    "vite": ["vite@6.4.2", "", { "dependencies": { "esbuild": "^0.25.0", "fdir": "^6.4.4", "picomatch": "^4.0.2", "postcss": "^8.5.3", "rollup": "^4.34.9", "tinyglobby": "^0.2.13" }, "optionalDependencies": { "fsevents": "~2.3.3" }, "peerDependencies": { "@types/node": "^18.0.0 || ^20.0.0 || >=22.0.0", "jiti": ">=1.21.0", "less": "*", "lightningcss": "^1.21.0", "sass": "*", "sass-embedded": "*", "stylus": "*", "sugarss": "*", "terser": "^5.16.0", "tsx": "^4.8.1", "yaml": "^2.4.2" }, "optionalPeers": ["@types/node", "jiti", "less", "lightningcss", "sass", "sass-embedded", "stylus", "sugarss", "terser", "tsx", "yaml"], "bin": { "vite": "bin/vite.js" } }, "sha512-2N/55r4JDJ4gdrCvGgINMy+HH3iRpNIz8K6SFwVsA+JbQScLiC+clmAxBgwiSPgcG9U15QmvqCGWzMbqda5zGQ=="],
+    "vite": ["vite@8.0.14", "", { "dependencies": { "lightningcss": "^1.32.0", "picomatch": "^4.0.4", "postcss": "^8.5.15", "rolldown": "1.0.2", "tinyglobby": "^0.2.16" }, "optionalDependencies": { "fsevents": "~2.3.3" }, "peerDependencies": { "@types/node": "^20.19.0 || >=22.12.0", "@vitejs/devtools": "^0.1.18", "esbuild": "^0.27.0 || ^0.28.0", "jiti": ">=1.21.0", "less": "^4.0.0", "sass": "^1.70.0", "sass-embedded": "^1.70.0", "stylus": ">=0.54.8", "sugarss": "^5.0.0", "terser": "^5.16.0", "tsx": "^4.8.1", "yaml": "^2.4.2" }, "optionalPeers": ["@types/node", "@vitejs/devtools", "esbuild", "jiti", "less", "sass", "sass-embedded", "stylus", "sugarss", "terser", "tsx", "yaml"], "bin": { "vite": "bin/vite.js" } }, "sha512-s4BJJ+5y1pYL6Otw51FHhVJQhPnuRinKig64g/1+EUNaJsd3gCKdD31IPFvswUgW9/60QT9oFHbZHbQK5imcxw=="],
+
+    "vite-plugin-istanbul": ["vite-plugin-istanbul@9.0.0", "", { "dependencies": { "@babel/generator": "^7.29.1", "@istanbuljs/load-nyc-config": "^1.1.0", "@types/babel__generator": "7.27.0", "espree": "^11.2.0", "istanbul-lib-instrument": "^6.0.3", "picocolors": "^1.1.1", "source-map": "^0.7.6", "test-exclude": "^8.0.0" }, "peerDependencies": { "vite": ">=7" } }, "sha512-Ia0GYwVAYZMyGM9vZFAb1+xy/s+aFWBO0lWfpuBbl9XyHEm1rVCBtpk+52G2M54t272q9b07CMlwSuew7DNhqQ=="],
 
     "void-elements": ["void-elements@3.1.0", "", {}, "sha512-Dhxzh5HZuiHQhbvTW9AMetFfBHDMYpo23Uo9btPXgdYP+3T5S+p+jgNy7spra+veYhBP2dCSgxR/i2Y02h5/6w=="],
 
@@ -903,30 +1015,58 @@
 
     "which": ["which@2.0.2", "", { "dependencies": { "isexe": "^2.0.0" }, "bin": { "node-which": "./bin/node-which" } }, "sha512-BLI3Tl1TW3Pvl70l3yq3Y64i+awpwXqsGBYWkkqMtnbXgrMD+yj7rhW0kuEDxzJaYXGjEW5ogapKNMEKNMjibA=="],
 
+    "which-module": ["which-module@2.0.1", "", {}, "sha512-iBdZ57RDvnOR9AGBhML2vFZf7h8vmBjhoaZqODJBFWHVtKkDmKuHai3cx5PgVMrX5YDNp27AofYbAwctSS+vhQ=="],
+
     "word-wrap": ["word-wrap@1.2.5", "", {}, "sha512-BN22B5eaMMI9UMtjrGd5g5eCYPpCPDUy0FJXbYsaT5zYxjFOckS53SQDE3pWkVoWpHXVb3BrYcEN4Twa55B5cA=="],
 
-    "wrap-ansi": ["wrap-ansi@8.1.0", "", { "dependencies": { "ansi-styles": "^6.1.0", "string-width": "^5.0.1", "strip-ansi": "^7.0.1" } }, "sha512-si7QWI6zUMq56bESFvagtmzMdGOtoxfR+Sez11Mobfc7tm+VkUckk9bW2UeffTGVUbOksxmSw0AA2gs8g71NCQ=="],
+    "wrap-ansi": ["wrap-ansi@6.2.0", "", { "dependencies": { "ansi-styles": "^4.0.0", "string-width": "^4.1.0", "strip-ansi": "^6.0.0" } }, "sha512-r6lPcBGxZXlIcymEu7InxDMhdW0KDxpLgoFLcguasxCaJ/SOIZwINatK9KY/tf+ZrlywOKU0UDj3ATXUBfxJXA=="],
 
     "wrap-ansi-cjs": ["wrap-ansi@7.0.0", "", { "dependencies": { "ansi-styles": "^4.0.0", "string-width": "^4.1.0", "strip-ansi": "^6.0.0" } }, "sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q=="],
 
     "wrappy": ["wrappy@1.0.2", "", {}, "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ=="],
 
+    "write-file-atomic": ["write-file-atomic@3.0.3", "", { "dependencies": { "imurmurhash": "^0.1.4", "is-typedarray": "^1.0.0", "signal-exit": "^3.0.2", "typedarray-to-buffer": "^3.1.5" } }, "sha512-AvHcyZ5JnSfq3ioSyjrBkH9yW4m7Ayk8/9My/DD9onKeu/94fwrMocemO2QAJFAlnnDN+ZDS+ZjAR5ua1/PV/Q=="],
+
     "xtend": ["xtend@4.0.2", "", {}, "sha512-LKYU1iAXJXUgAXn9URjiu+MWhyUXHsvfp7mcuYm9dSUKK0/CjtrUwFAxD82/mCWbtLsGjFIad0wIsod4zrTAEQ=="],
 
+    "y18n": ["y18n@4.0.3", "", {}, "sha512-JKhqTOwSrqNA1NY5lSztJ1GrBiUodLMmIZuLiDaMRJ+itFd+ABVE8XBjOvIWL+rSqNDC74LCSFmlb/U4UZ4hJQ=="],
+
     "yallist": ["yallist@3.1.1", "", {}, "sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g=="],
 
     "yaml": ["yaml@2.8.3", "", { "bin": { "yaml": "bin.mjs" } }, "sha512-AvbaCLOO2Otw/lW5bmh9d/WEdcDFdQp2Z2ZUH3pX9U2ihyUY0nvLv7J6TrWowklRGPYbB/IuIMfYgxaCPg5Bpg=="],
 
+    "yargs": ["yargs@15.4.1", "", { "dependencies": { "cliui": "^6.0.0", "decamelize": "^1.2.0", "find-up": "^4.1.0", "get-caller-file": "^2.0.1", "require-directory": "^2.1.1", "require-main-filename": "^2.0.0", "set-blocking": "^2.0.0", "string-width": "^4.2.0", "which-module": "^2.0.0", "y18n": "^4.0.0", "yargs-parser": "^18.1.2" } }, "sha512-aePbxDmcYW++PaqBsJ+HYUFwCdv4LVvdnhBy78E57PIor8/OVvhMrADFFEDh8DHDFRv/O9i3lPhsENjO7QX0+A=="],
+
+    "yargs-parser": ["yargs-parser@18.1.3", "", { "dependencies": { "camelcase": "^5.0.0", "decamelize": "^1.2.0" } }, "sha512-o50j0JeToy/4K6OZcaQmW6lyXXKhq7csREXcDwk2omFPJEwUNOVtJKvmDr9EI1fAJZUyZcRF7kxGBWmRXudrCQ=="],
+
     "yocto-queue": ["yocto-queue@0.1.0", "", {}, "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q=="],
 
     "zod": ["zod@4.3.6", "", {}, "sha512-rftlrkhHZOcjDwkGlnUtZZkvaPHCsDATp4pGpuOOMDaTdDDXF91wuVDJoWoPsKX/3YPQ5fHuF3STjcYyKr+Qhg=="],
 
     "zod-to-json-schema": ["zod-to-json-schema@3.25.1", "", { "peerDependencies": { "zod": "^3.25 || ^4" } }, "sha512-pM/SU9d3YAggzi6MtR4h7ruuQlqKtad8e9S0fmxcMi+ueAK5Korys/aWcV9LIIHTVbj01NdzxcnXSN+O74ZIVA=="],
 
+    "@babel/core/convert-source-map": ["convert-source-map@2.0.0", "", {}, "sha512-Kvp459HrV2FEJ1CAsi1Ku+MY3kasH19TFykTz2xWmMeq6bk2NU3XXvfJ+Q61m0xktWwt+1HSYf3JZsTms3aRJg=="],
+
+    "@babel/core/semver": ["semver@6.3.1", "", { "bin": { "semver": "bin/semver.js" } }, "sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA=="],
+
+    "@babel/helper-compilation-targets/lru-cache": ["lru-cache@5.1.1", "", { "dependencies": { "yallist": "^3.0.2" } }, "sha512-KpNARQA3Iwv+jTA0utUVVbrh+Jlrr1Fv0e56GGzAFOXN7dk/FviaDW8LHmK52DlcH4WP2n6gI8vN1aesBFgo9w=="],
+
+    "@babel/helper-compilation-targets/semver": ["semver@6.3.1", "", { "bin": { "semver": "bin/semver.js" } }, "sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA=="],
+
     "@eslint-community/eslint-utils/eslint-visitor-keys": ["eslint-visitor-keys@3.4.3", "", {}, "sha512-wpc+LXeiyiisxPlEkUzU6svyS1frIO3Mgxj1fdy7Pm8Ygzguax2N3Fa/D/ag1WqbOprdI+uY6wMUl8/a2G+iag=="],
 
     "@eslint/eslintrc/globals": ["globals@14.0.0", "", {}, "sha512-oahGvuMGQlPw/ivIYBjVSrWAfWLBeku5tpPE2fOPLi+WHffIWbuh2tCjhyQhTBPMf5E9jDEH4FOmTYgYwbKwtQ=="],
 
+    "@isaacs/cliui/string-width": ["string-width@5.1.2", "", { "dependencies": { "eastasianwidth": "^0.2.0", "emoji-regex": "^9.2.2", "strip-ansi": "^7.0.1" } }, "sha512-HnLOCR3vjcY8beoNLtcjZ5/nxn2afmME6lhrDrebokqMap+XbeW8n9TXpPDOqdGK5qcI3oT0GKTW6wC7EMiVqA=="],
+
+    "@isaacs/cliui/strip-ansi": ["strip-ansi@7.2.0", "", { "dependencies": { "ansi-regex": "^6.2.2" } }, "sha512-yDPMNjp4WyfYBkHnjIRLfca1i6KMyGCtsVgoKe/z1+6vukgaENdgGBZt+ZmKPc4gavvEZ5OgHfHdrazhgNyG7w=="],
+
+    "@isaacs/cliui/wrap-ansi": ["wrap-ansi@8.1.0", "", { "dependencies": { "ansi-styles": "^6.1.0", "string-width": "^5.0.1", "strip-ansi": "^7.0.1" } }, "sha512-si7QWI6zUMq56bESFvagtmzMdGOtoxfR+Sez11Mobfc7tm+VkUckk9bW2UeffTGVUbOksxmSw0AA2gs8g71NCQ=="],
+
+    "@istanbuljs/load-nyc-config/find-up": ["find-up@4.1.0", "", { "dependencies": { "locate-path": "^5.0.0", "path-exists": "^4.0.0" } }, "sha512-PpOwAdQ/YlXQ2vj8a3h8IipDuYRi3wceVQQGYWxNINccq40Anw7BlsEXCMbt1Zt+OLA6Fq9suIpIWD0OsnISlw=="],
+
+    "@istanbuljs/load-nyc-config/js-yaml": ["js-yaml@3.14.2", "", { "dependencies": { "argparse": "^1.0.7", "esprima": "^4.0.0" }, "bin": { "js-yaml": "bin/js-yaml.js" } }, "sha512-PMSmkqxr106Xa156c2M265Z+FTrPl+oxd/rgOQy2tijQeK5TxQ43psO1ZCwhVOSdnn+RzkzlRz/eY4BgJBYVpg=="],
+
     "@modelcontextprotocol/sdk/ajv": ["ajv@8.18.0", "", { "dependencies": { "fast-deep-equal": "^3.1.3", "fast-uri": "^3.0.1", "json-schema-traverse": "^1.0.0", "require-from-string": "^2.0.2" } }, "sha512-PlXPeEWMXMZ7sPYOHqmDyCJzcfNrUr3fGNKtezX14ykXOEIvyK81d+qydx89KY5O71FKMPaQ2vBfBFI5NHR63A=="],
 
     "ajv-formats/ajv": ["ajv@8.18.0", "", { "dependencies": { "fast-deep-equal": "^3.1.3", "fast-uri": "^3.0.1", "json-schema-traverse": "^1.0.0", "require-from-string": "^2.0.2" } }, "sha512-PlXPeEWMXMZ7sPYOHqmDyCJzcfNrUr3fGNKtezX14ykXOEIvyK81d+qydx89KY5O71FKMPaQ2vBfBFI5NHR63A=="],
@@ -939,8 +1079,14 @@
 
     "broccoli-output-wrapper/fs-extra": ["fs-extra@8.1.0", "", { "dependencies": { "graceful-fs": "^4.2.0", "jsonfile": "^4.0.0", "universalify": "^0.1.0" } }, "sha512-yhlQgA6mnOJUKOsRUFsgJdQCvkKhcz8tlZG5HBQfReYZy46OwLcY+Zia0mtdHsOo9y/hP+CxMN0TU9QxoOtG4g=="],
 
+    "broccoli-plugin/rimraf": ["rimraf@3.0.2", "", { "dependencies": { "glob": "^7.1.3" }, "bin": { "rimraf": "bin.js" } }, "sha512-JZkJMZkAGFFPP2YqXZXPbMlMBgsxzE8ILs4lMIX/2o0L9UBw9O/Y3o6wFw/i9YLapcUJWwqbi3kdxIPdC62TIA=="],
+
+    "foreground-child/signal-exit": ["signal-exit@4.1.0", "", {}, "sha512-bzyZ1e88w9O1iNJbKnOlvYTrWPDl46O1bG0D3XInv+9tkPrxrN8jUUTiFlDkkmKWgn1M6CfIA13SuGqOa9Korw=="],
+
     "fs-merger/fs-extra": ["fs-extra@8.1.0", "", { "dependencies": { "graceful-fs": "^4.2.0", "jsonfile": "^4.0.0", "universalify": "^0.1.0" } }, "sha512-yhlQgA6mnOJUKOsRUFsgJdQCvkKhcz8tlZG5HBQfReYZy46OwLcY+Zia0mtdHsOo9y/hP+CxMN0TU9QxoOtG4g=="],
 
+    "glob/minimatch": ["minimatch@10.2.5", "", { "dependencies": { "brace-expansion": "^5.0.5" } }, "sha512-MULkVLfKGYDFYejP07QOurDLLQpcjk7Fw+7jXS2R2czRQzR56yHRveU5NDJEOviH+hETZKSkIk5c+T23GjFUMg=="],
+
     "heimdalljs/rsvp": ["rsvp@3.2.1", "", {}, "sha512-Rf4YVNYpKjZ6ASAmibcwTNciQ5Co5Ztq6iZPEykHpkoflnD/K5ryE/rHehFsTm4NJj8nKDhbi3eKBWGogmNnkg=="],
 
     "heimdalljs-logger/debug": ["debug@2.6.9", "", { "dependencies": { "ms": "2.0.0" } }, "sha512-bC7ElrdJaJnPbAP+1EotYvqZsb3ecl5wi6Bfi6BJTUcNowp6cvspg0jXznRTKDjm/E7AdgFBVeAPVMNcKGsHMA=="],
@@ -949,9 +1095,19 @@
 
     "i18next-parser/i18next": ["i18next@24.2.3", "", { "dependencies": { "@babel/runtime": "^7.26.10" }, "peerDependencies": { "typescript": "^5" }, "optionalPeers": ["typescript"] }, "sha512-lfbf80OzkocvX7nmZtu7nSTNbrTYR52sLWxPtlXX1zAhVw8WEnFk4puUkCR4B1dNQwbSpEHHHemcZu//7EcB7A=="],
 
+    "import-fresh/resolve-from": ["resolve-from@4.0.0", "", {}, "sha512-pb/MYmXstAkysRFx8piNI1tGFNQIFA3vkE3Gq4EuA1dF6gHp/+vgZqsCGJapvy8N3Q+4o7FwvquPJcnZ7RYy4g=="],
+
+    "istanbul-lib-report/make-dir": ["make-dir@4.0.0", "", { "dependencies": { "semver": "^7.5.3" } }, "sha512-hXdUTZYIVOt1Ex//jAQi+wTZZpUpwBj/0QsOzqegb3rGMMeJiSEu5xLHnYfBrRV4RH2+OCSOO95Is/7x1WJ4bw=="],
+
+    "istanbul-lib-source-maps/source-map": ["source-map@0.6.1", "", {}, "sha512-UjgapumWlbMhkBgzT7Ykc5YXUT46F0iKu8SGXq0bcwP5dz/h0Plj6enJqjz1Zbq2l5WaqYnrVbwWOWMyF3F47g=="],
+
+    "make-dir/semver": ["semver@6.3.1", "", { "bin": { "semver": "bin/semver.js" } }, "sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA=="],
+
+    "nyc/find-up": ["find-up@4.1.0", "", { "dependencies": { "locate-path": "^5.0.0", "path-exists": "^4.0.0" } }, "sha512-PpOwAdQ/YlXQ2vj8a3h8IipDuYRi3wceVQQGYWxNINccq40Anw7BlsEXCMbt1Zt+OLA6Fq9suIpIWD0OsnISlw=="],
+
     "parse5/entities": ["entities@6.0.1", "", {}, "sha512-aN97NXWF6AWBTahfVOIrB/NShkzi5H7F9r1s9mD3cDj4Ko5f2qhhVoYMibXF7GlLveb/D2ioWay8lxI97Ven3g=="],
 
-    "path-scurry/lru-cache": ["lru-cache@10.4.3", "", {}, "sha512-JNAzZcXrCt42VGLuYz0zfAzDfAvJWW6AfYlDBQyDV5DClI2m5sAmK+OIO7s59XfsRsWHp02jAJrRadPRGTt6SQ=="],
+    "pkg-dir/find-up": ["find-up@4.1.0", "", { "dependencies": { "locate-path": "^5.0.0", "path-exists": "^4.0.0" } }, "sha512-PpOwAdQ/YlXQ2vj8a3h8IipDuYRi3wceVQQGYWxNINccq40Anw7BlsEXCMbt1Zt+OLA6Fq9suIpIWD0OsnISlw=="],
 
     "playwright/fsevents": ["fsevents@2.3.2", "", { "os": "darwin" }, "sha512-xiqMQR4xAeHTuB9uWm+fFRcIOgKBMiOBP+eXiyT7jsgVCq1bkVygt00oASowB7EdtpOHaaPgKt812P9ab+DDKA=="],
 
@@ -961,17 +1117,25 @@
 
     "react-router/cookie": ["cookie@1.1.1", "", {}, "sha512-ei8Aos7ja0weRpFzJnEA9UHJ/7XQmqglbRwnf2ATjcB9Wq874VKH9kfjjirM6UhU2/E5fFYadylyhFldcqSidQ=="],
 
-    "string-width-cjs/emoji-regex": ["emoji-regex@8.0.0", "", {}, "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A=="],
+    "spawn-wrap/foreground-child": ["foreground-child@2.0.0", "", { "dependencies": { "cross-spawn": "^7.0.0", "signal-exit": "^3.0.2" } }, "sha512-dCIq9FpEcyQyXKCkyzmlPTFNgrCzPudOe+mhvJU5zAtlBnGVy2yKxtfsxK2tQBThwq225jcvBjpw1Gr40uzZCA=="],
 
-    "string-width-cjs/strip-ansi": ["strip-ansi@6.0.1", "", { "dependencies": { "ansi-regex": "^5.0.1" } }, "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A=="],
+    "test-exclude/minimatch": ["minimatch@10.2.5", "", { "dependencies": { "brace-expansion": "^5.0.5" } }, "sha512-MULkVLfKGYDFYejP07QOurDLLQpcjk7Fw+7jXS2R2czRQzR56yHRveU5NDJEOviH+hETZKSkIk5c+T23GjFUMg=="],
 
-    "strip-ansi-cjs/ansi-regex": ["ansi-regex@5.0.1", "", {}, "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ=="],
+    "vinyl-sourcemap/convert-source-map": ["convert-source-map@2.0.0", "", {}, "sha512-Kvp459HrV2FEJ1CAsi1Ku+MY3kasH19TFykTz2xWmMeq6bk2NU3XXvfJ+Q61m0xktWwt+1HSYf3JZsTms3aRJg=="],
 
-    "wrap-ansi/ansi-styles": ["ansi-styles@6.2.3", "", {}, "sha512-4Dj6M28JB+oAH8kFkTLUo+a2jwOFkuqb3yucU0CANcRRUbxS0cP0nZYCGjcc3BNXwRIsUVmDGgzawme7zvJHvg=="],
+    "vite-plugin-istanbul/espree": ["espree@11.2.0", "", { "dependencies": { "acorn": "^8.16.0", "acorn-jsx": "^5.3.2", "eslint-visitor-keys": "^5.0.1" } }, "sha512-7p3DrVEIopW1B1avAGLuCSh1jubc01H2JHc8B4qqGblmg5gI9yumBgACjWo4JlIc04ufug4xJ3SQI8HkS/Rgzw=="],
 
-    "wrap-ansi-cjs/string-width": ["string-width@4.2.3", "", { "dependencies": { "emoji-regex": "^8.0.0", "is-fullwidth-code-point": "^3.0.0", "strip-ansi": "^6.0.1" } }, "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g=="],
+    "yargs/find-up": ["find-up@4.1.0", "", { "dependencies": { "locate-path": "^5.0.0", "path-exists": "^4.0.0" } }, "sha512-PpOwAdQ/YlXQ2vj8a3h8IipDuYRi3wceVQQGYWxNINccq40Anw7BlsEXCMbt1Zt+OLA6Fq9suIpIWD0OsnISlw=="],
 
-    "wrap-ansi-cjs/strip-ansi": ["strip-ansi@6.0.1", "", { "dependencies": { "ansi-regex": "^5.0.1" } }, "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A=="],
+    "@isaacs/cliui/string-width/emoji-regex": ["emoji-regex@9.2.2", "", {}, "sha512-L18DaJsXSUk2+42pv8mLs5jJT2hqFkFE4j21wOmgbUqsZ2hL72NsUU785g9RXgo3s0ZNgVl42TiHp3ZtOv/Vyg=="],
+
+    "@isaacs/cliui/strip-ansi/ansi-regex": ["ansi-regex@6.2.2", "", {}, "sha512-Bq3SmSpyFHaWjPk8If9yc6svM8c56dB5BAtW4Qbw5jHTwwXXcTLoRMkpDJp6VL0XzlWaCHTXrkFURMYmD0sLqg=="],
+
+    "@isaacs/cliui/wrap-ansi/ansi-styles": ["ansi-styles@6.2.3", "", {}, "sha512-4Dj6M28JB+oAH8kFkTLUo+a2jwOFkuqb3yucU0CANcRRUbxS0cP0nZYCGjcc3BNXwRIsUVmDGgzawme7zvJHvg=="],
+
+    "@istanbuljs/load-nyc-config/find-up/locate-path": ["locate-path@5.0.0", "", { "dependencies": { "p-locate": "^4.1.0" } }, "sha512-t7hw9pI+WvuwNJXwk5zVHpyhIqzg2qTlklJOf0mVxGSbe3Fp2VieZcduNYjaLDoy6p9uGpQEGWG87WpMKlNq8g=="],
+
+    "@istanbuljs/load-nyc-config/js-yaml/argparse": ["argparse@1.0.10", "", { "dependencies": { "sprintf-js": "~1.0.2" } }, "sha512-o5Roy6tNG4SL/FOkCAN6RzjiakZS25RLYFrcMttJqbdd8BWrnA+fGz57iN5Pb06pvBGvl5gQ0B48dJlslXvoTg=="],
 
     "@modelcontextprotocol/sdk/ajv/json-schema-traverse": ["json-schema-traverse@1.0.0", "", {}, "sha512-NM8/P9n3XjXhIZn1lLhkFaACTOURQXjWhV4BA/RnOv8xvgqtqpAX9IO4mRQxSx1Rlo4tqzeqb0sOlruaOy3dug=="],
 
@@ -981,22 +1145,56 @@
 
     "broccoli-output-wrapper/fs-extra/universalify": ["universalify@0.1.2", "", {}, "sha512-rBJeI5CXAlmy1pV+617WB9J63U6XcazHHF2f2dbJix4XzpUF0RS3Zbj0FGIOCAva5P/d/GBOYaACQ1w+0azUkg=="],
 
+    "broccoli-plugin/rimraf/glob": ["glob@7.2.3", "", { "dependencies": { "fs.realpath": "^1.0.0", "inflight": "^1.0.4", "inherits": "2", "minimatch": "^3.1.1", "once": "^1.3.0", "path-is-absolute": "^1.0.0" } }, "sha512-nFR0zLpU2YCaRxwoCJvL6UvCH2JFyFVIvwTLsIf21AuHlMskA1hhTdk+LlYJtOlYt9v6dvszD2BGRqBL+iQK9Q=="],
+
     "fs-merger/fs-extra/jsonfile": ["jsonfile@4.0.0", "", { "optionalDependencies": { "graceful-fs": "^4.1.6" } }, "sha512-m6F1R3z8jjlf2imQHS2Qez5sjKWQzbuuhuJ/FKYFRZvPE3PuHcSMVZzfsLhGVOkfd20obL5SWEBew5ShlquNxg=="],
 
     "fs-merger/fs-extra/universalify": ["universalify@0.1.2", "", {}, "sha512-rBJeI5CXAlmy1pV+617WB9J63U6XcazHHF2f2dbJix4XzpUF0RS3Zbj0FGIOCAva5P/d/GBOYaACQ1w+0azUkg=="],
 
+    "glob/minimatch/brace-expansion": ["brace-expansion@5.0.6", "", { "dependencies": { "balanced-match": "^4.0.2" } }, "sha512-kLpxurY4Z4r9sgMsyG0Z9uzsBlgiU/EFKhj/h91/8yHu0edo7XuixOIH3VcJ8kkxs6/jPzoI6U9Vj3WqbMQ94g=="],
+
     "heimdalljs-logger/debug/ms": ["ms@2.0.0", "", {}, "sha512-Tpp60P6IUJDTuOq/5Z8cdskzJujfwqfOTkrwIwj7IRISpnkJnT6SyJ4PCPnGMoFjC9ddhal5KVIYtAt97ix05A=="],
 
+    "nyc/find-up/locate-path": ["locate-path@5.0.0", "", { "dependencies": { "p-locate": "^4.1.0" } }, "sha512-t7hw9pI+WvuwNJXwk5zVHpyhIqzg2qTlklJOf0mVxGSbe3Fp2VieZcduNYjaLDoy6p9uGpQEGWG87WpMKlNq8g=="],
+
+    "pkg-dir/find-up/locate-path": ["locate-path@5.0.0", "", { "dependencies": { "p-locate": "^4.1.0" } }, "sha512-t7hw9pI+WvuwNJXwk5zVHpyhIqzg2qTlklJOf0mVxGSbe3Fp2VieZcduNYjaLDoy6p9uGpQEGWG87WpMKlNq8g=="],
+
     "quick-temp/rimraf/glob": ["glob@10.5.0", "", { "dependencies": { "foreground-child": "^3.1.0", "jackspeak": "^3.1.2", "minimatch": "^9.0.4", "minipass": "^7.1.2", "package-json-from-dist": "^1.0.0", "path-scurry": "^1.11.1" }, "bin": { "glob": "dist/esm/bin.mjs" } }, "sha512-DfXN8DfhJ7NH3Oe7cFmu3NCu1wKbkReJ8TorzSAFbSKrlNaQSKfIzqYqVY8zlbs2NLBbWpRiU52GX2PbaBVNkg=="],
 
-    "string-width-cjs/strip-ansi/ansi-regex": ["ansi-regex@5.0.1", "", {}, "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ=="],
+    "test-exclude/minimatch/brace-expansion": ["brace-expansion@5.0.6", "", { "dependencies": { "balanced-match": "^4.0.2" } }, "sha512-kLpxurY4Z4r9sgMsyG0Z9uzsBlgiU/EFKhj/h91/8yHu0edo7XuixOIH3VcJ8kkxs6/jPzoI6U9Vj3WqbMQ94g=="],
 
-    "wrap-ansi-cjs/string-width/emoji-regex": ["emoji-regex@8.0.0", "", {}, "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A=="],
+    "vite-plugin-istanbul/espree/eslint-visitor-keys": ["eslint-visitor-keys@5.0.1", "", {}, "sha512-tD40eHxA35h0PEIZNeIjkHoDR4YjjJp34biM0mDvplBe//mB+IHCqHDGV7pxF+7MklTvighcCPPZC7ynWyjdTA=="],
 
-    "wrap-ansi-cjs/strip-ansi/ansi-regex": ["ansi-regex@5.0.1", "", {}, "sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ=="],
+    "yargs/find-up/locate-path": ["locate-path@5.0.0", "", { "dependencies": { "p-locate": "^4.1.0" } }, "sha512-t7hw9pI+WvuwNJXwk5zVHpyhIqzg2qTlklJOf0mVxGSbe3Fp2VieZcduNYjaLDoy6p9uGpQEGWG87WpMKlNq8g=="],
+
+    "@istanbuljs/load-nyc-config/find-up/locate-path/p-locate": ["p-locate@4.1.0", "", { "dependencies": { "p-limit": "^2.2.0" } }, "sha512-R79ZZ/0wAxKGu3oYMlz8jy/kbhsNrS7SKZ7PxEHBgJ5+F2mtFW2fK2cOtBh1cHYkQsbzFV7I+EoRKe6Yt0oK7A=="],
+
+    "@istanbuljs/load-nyc-config/js-yaml/argparse/sprintf-js": ["sprintf-js@1.0.3", "", {}, "sha512-D9cPgkvLlV3t3IzL0D0YLvGA9Ahk4PcvVwUbN0dSGr1aP0Nrt4AEnTUbuGvquEC0mA64Gqt1fzirlRs5ibXx8g=="],
+
+    "glob/minimatch/brace-expansion/balanced-match": ["balanced-match@4.0.4", "", {}, "sha512-BLrgEcRTwX2o6gGxGOCNyMvGSp35YofuYzw9h1IMTRmKqttAZZVU67bdb9Pr2vUHA8+j3i2tJfjO6C6+4myGTA=="],
+
+    "nyc/find-up/locate-path/p-locate": ["p-locate@4.1.0", "", { "dependencies": { "p-limit": "^2.2.0" } }, "sha512-R79ZZ/0wAxKGu3oYMlz8jy/kbhsNrS7SKZ7PxEHBgJ5+F2mtFW2fK2cOtBh1cHYkQsbzFV7I+EoRKe6Yt0oK7A=="],
+
+    "pkg-dir/find-up/locate-path/p-locate": ["p-locate@4.1.0", "", { "dependencies": { "p-limit": "^2.2.0" } }, "sha512-R79ZZ/0wAxKGu3oYMlz8jy/kbhsNrS7SKZ7PxEHBgJ5+F2mtFW2fK2cOtBh1cHYkQsbzFV7I+EoRKe6Yt0oK7A=="],
 
     "quick-temp/rimraf/glob/minimatch": ["minimatch@9.0.9", "", { "dependencies": { "brace-expansion": "^2.0.2" } }, "sha512-OBwBN9AL4dqmETlpS2zasx+vTeWclWzkblfZk7KTA5j3jeOONz/tRCnZomUyvNg83wL5Zv9Ss6HMJXAgL8R2Yg=="],
 
+    "quick-temp/rimraf/glob/path-scurry": ["path-scurry@1.11.1", "", { "dependencies": { "lru-cache": "^10.2.0", "minipass": "^5.0.0 || ^6.0.2 || ^7.0.0" } }, "sha512-Xa4Nw17FS9ApQFJ9umLiJS4orGjm7ZzwUrwamcGQuHSzDyth9boKDaycYdDcZDuqYATXw4HFXgaqWTctW/v1HA=="],
+
+    "test-exclude/minimatch/brace-expansion/balanced-match": ["balanced-match@4.0.4", "", {}, "sha512-BLrgEcRTwX2o6gGxGOCNyMvGSp35YofuYzw9h1IMTRmKqttAZZVU67bdb9Pr2vUHA8+j3i2tJfjO6C6+4myGTA=="],
+
+    "yargs/find-up/locate-path/p-locate": ["p-locate@4.1.0", "", { "dependencies": { "p-limit": "^2.2.0" } }, "sha512-R79ZZ/0wAxKGu3oYMlz8jy/kbhsNrS7SKZ7PxEHBgJ5+F2mtFW2fK2cOtBh1cHYkQsbzFV7I+EoRKe6Yt0oK7A=="],
+
+    "@istanbuljs/load-nyc-config/find-up/locate-path/p-locate/p-limit": ["p-limit@2.3.0", "", { "dependencies": { "p-try": "^2.0.0" } }, "sha512-//88mFWSJx8lxCzwdAABTJL2MyWB12+eIY7MDL2SqLmAkeKU9qxRvWuSyTjm3FUmpBEMuFfckAIqEaVGUDxb6w=="],
+
+    "nyc/find-up/locate-path/p-locate/p-limit": ["p-limit@2.3.0", "", { "dependencies": { "p-try": "^2.0.0" } }, "sha512-//88mFWSJx8lxCzwdAABTJL2MyWB12+eIY7MDL2SqLmAkeKU9qxRvWuSyTjm3FUmpBEMuFfckAIqEaVGUDxb6w=="],
+
+    "pkg-dir/find-up/locate-path/p-locate/p-limit": ["p-limit@2.3.0", "", { "dependencies": { "p-try": "^2.0.0" } }, "sha512-//88mFWSJx8lxCzwdAABTJL2MyWB12+eIY7MDL2SqLmAkeKU9qxRvWuSyTjm3FUmpBEMuFfckAIqEaVGUDxb6w=="],
+
     "quick-temp/rimraf/glob/minimatch/brace-expansion": ["brace-expansion@2.1.0", "", { "dependencies": { "balanced-match": "^1.0.0" } }, "sha512-TN1kCZAgdgweJhWWpgKYrQaMNHcDULHkWwQIspdtjV4Y5aurRdZpjAqn6yX3FPqTA9ngHCc4hJxMAMgGfve85w=="],
+
+    "quick-temp/rimraf/glob/path-scurry/lru-cache": ["lru-cache@10.4.3", "", {}, "sha512-JNAzZcXrCt42VGLuYz0zfAzDfAvJWW6AfYlDBQyDV5DClI2m5sAmK+OIO7s59XfsRsWHp02jAJrRadPRGTt6SQ=="],
+
+    "yargs/find-up/locate-path/p-locate/p-limit": ["p-limit@2.3.0", "", { "dependencies": { "p-try": "^2.0.0" } }, "sha512-//88mFWSJx8lxCzwdAABTJL2MyWB12+eIY7MDL2SqLmAkeKU9qxRvWuSyTjm3FUmpBEMuFfckAIqEaVGUDxb6w=="],
   }
 }

core/http/react-ui/coverage-baseline.txt

@@ -0,0 +1 @@
+30.66

core/http/react-ui/e2e/agents.spec.js

@@ -0,0 +1,24 @@
+import { test, expect } from './coverage-fixtures.js'
+
+// Agents feature page (src/pages/Agents.jsx).
+test.describe('Agents page', () => {
+  test.beforeEach(async ({ page }) => {
+    await page.goto('/app/agents')
+  })
+
+  test('renders the agents list and empty state', async ({ page }) => {
+    await expect(page).toHaveURL(/\/app\/agents$/)
+    await expect(page.getByRole('heading', { name: 'Agents', exact: true })).toBeVisible()
+    await expect(page.getByText(/No agents configured/i)).toBeVisible()
+    await expect(page.getByRole('button', { name: 'Create Agent' }).first()).toBeVisible()
+  })
+
+  test('Create Agent navigates to the agent creation form', async ({ page }) => {
+    const create = page.getByRole('button', { name: 'Create Agent' }).last()
+    await create.scrollIntoViewIfNeeded()
+    await Promise.all([
+      page.waitForURL(/\/app\/agents\/new$/),
+      create.click(),
+    ])
+  })
+})

core/http/react-ui/e2e/audio-transform.spec.js

@@ -1,4 +1,4 @@
-import { test, expect } from '@playwright/test'
+import { test, expect } from './coverage-fixtures.js'
 
 function mockCapabilities(page, capabilities) {
   return page.route('**/api/models/capabilities', (route) => {

core/http/react-ui/e2e/backend-logs.spec.js

@@ -1,4 +1,4 @@
-import { test, expect } from '@playwright/test'
+import { test, expect } from './coverage-fixtures.js'
 
 test.describe('Backend Logs', () => {
   test('model detail page shows title', async ({ page }) => {

core/http/react-ui/e2e/backends-management.spec.js

@@ -0,0 +1,28 @@
+import { test, expect } from './coverage-fixtures.js'
+
+// Backends admin page (src/pages/Backends.jsx).
+test.describe('Backends management page', () => {
+  test.beforeEach(async ({ page }) => {
+    await page.goto('/app/backends')
+  })
+
+  test('renders the management header and gallery tabs', async ({ page }) => {
+    await expect(page).toHaveURL(/\/app\/backends$/)
+    await expect(page.getByRole('heading', { name: 'Backend Management' })).toBeVisible()
+    await expect(page.getByRole('button', { name: 'Manual Install' })).toBeVisible()
+    await expect(page.getByRole('button').filter({ hasText: /^All$/ })).toBeVisible()
+    await expect(page.getByRole('button').filter({ hasText: /^Image$/ })).toBeVisible()
+  })
+
+  test('search field accepts input', async ({ page }) => {
+    const search = page.getByPlaceholder(/search backends/i)
+    await expect(search).toBeVisible()
+    await search.fill('whisper')
+    await expect(search).toHaveValue('whisper')
+  })
+
+  test('Manual Install reveals the OCI install form', async ({ page }) => {
+    await page.getByRole('button', { name: 'Manual Install' }).click()
+    await expect(page.getByPlaceholder('oci://quay.io/example/backend:latest')).toBeVisible()
+  })
+})

core/http/react-ui/e2e/chat-errors.spec.js

@@ -1,4 +1,4 @@
-import { test, expect } from '@playwright/test'
+import { test, expect } from './coverage-fixtures.js'
 
 async function setupChatPage(page) {
   // Mock capabilities endpoint so ModelSelector auto-selects a model

core/http/react-ui/e2e/chat-polling-selection.spec.js

@@ -1,4 +1,4 @@
-import { test, expect } from '@playwright/test'
+import { test, expect } from './coverage-fixtures.js'
 
 // Regression coverage for issue #9904:
 // - /api/operations was polled every 1s and *always* re-rendered the Chat

core/http/react-ui/e2e/collections.spec.js

@@ -0,0 +1,22 @@
+import { test, expect } from './coverage-fixtures.js'
+
+// Collections (Knowledge Base) feature page (src/pages/Collections.jsx).
+test.describe('Collections page', () => {
+  test.beforeEach(async ({ page }) => {
+    await page.goto('/app/collections')
+  })
+
+  test('renders the knowledge base with an empty state and create control', async ({ page }) => {
+    await expect(page).toHaveURL(/\/app\/collections$/)
+    await expect(page.getByRole('heading', { name: 'Knowledge Base' })).toBeVisible()
+    await expect(page.getByText(/No collections yet/i)).toBeVisible()
+    await expect(page.getByRole('button').filter({ hasText: 'Create' })).toBeVisible()
+  })
+
+  test('new-collection name field accepts input', async ({ page }) => {
+    const input = page.locator('input, textarea').first()
+    await expect(input).toBeVisible()
+    await input.fill('my-kb')
+    await expect(input).toHaveValue('my-kb')
+  })
+})

core/http/react-ui/e2e/coverage-fixtures.js

@@ -0,0 +1,40 @@
+// Playwright test fixture that harvests istanbul code coverage.
+//
+// When the app is built with COVERAGE=true (see vite.config.js), every source
+// module is instrumented and exposes its counters on window.__coverage__. This
+// fixture writes that object to .nyc_output/ after each test so `nyc report`
+// can merge the runs into a per-file coverage report.
+//
+// The app is a React SPA (client-side routing), so window.__coverage__
+// accumulates across in-app navigation within a single test; only a full page
+// reload / fresh page.goto resets it. Specs import { test, expect } from this
+// module instead of '@playwright/test' so collection is automatic.
+import { test as base, expect } from '@playwright/test'
+import { mkdirSync, writeFileSync } from 'node:fs'
+import { randomUUID } from 'node:crypto'
+import path from 'node:path'
+
+const COVERAGE_DIR = path.resolve(process.cwd(), '.nyc_output')
+
+export const test = base.extend({
+  page: async ({ page }, use) => {
+    await use(page)
+
+    let coverage
+    try {
+      coverage = await page.evaluate(() => window.__coverage__)
+    } catch {
+      // Page was already closed by the test — nothing to collect.
+      return
+    }
+    if (!coverage) return // build wasn't instrumented (COVERAGE unset)
+
+    mkdirSync(COVERAGE_DIR, { recursive: true })
+    writeFileSync(
+      path.join(COVERAGE_DIR, `playwright-${randomUUID()}.json`),
+      JSON.stringify(coverage),
+    )
+  },
+})
+
+export { expect }

core/http/react-ui/e2e/import-form-ux-batch-a.spec.js

@@ -1,4 +1,4 @@
-import { test, expect } from '@playwright/test'
+import { test, expect } from './coverage-fixtures.js'
 
 // Mock /backends/known shape mirrors schema.KnownBackend. The suite covers
 // three concerns from Batch A: manual-pick badge (A1), inline ambiguity

core/http/react-ui/e2e/import-form-ux-batch-b.spec.js

@@ -1,4 +1,4 @@
-import { test, expect } from '@playwright/test'
+import { test, expect } from './coverage-fixtures.js'
 
 // Batch B — Simple / Power mode with quick switch. This suite exercises the
 // mode switch itself, the collapsible Options disclosure in Simple mode,

core/http/react-ui/e2e/import-form-ux-batch-d.spec.js

@@ -1,4 +1,4 @@
-import { test, expect } from '@playwright/test'
+import { test, expect } from './coverage-fixtures.js'
 
 // Batch D — progressive disclosure of preference fields. Power > Preferences
 // tab gates Quantizations, MMProj Quantizations, and Model Type so they only

core/http/react-ui/e2e/import-form-ux-batch-e.spec.js

@@ -1,4 +1,4 @@
-import { test, expect } from '@playwright/test'
+import { test, expect } from './coverage-fixtures.js'
 
 // Batch E — modality chip row. A horizontal chip row sits above the Backend
 // dropdown (inside the Simple-mode Options disclosure and in Power >

core/http/react-ui/e2e/import-form-ux-batch-f.spec.js

@@ -1,4 +1,4 @@
-import { test, expect } from '@playwright/test'
+import { test, expect } from './coverage-fixtures.js'
 
 // Batch F3 — Enter-to-submit on the URI input in Simple mode. Wrapping the
 // URI input + ambiguity alert + Options disclosure in a <form> means pressing

core/http/react-ui/e2e/login.spec.js

@@ -0,0 +1,38 @@
+import { test, expect } from './coverage-fixtures.js'
+
+// Login page (src/pages/Login.jsx). /login redirects to /app when auth is
+// disabled, so the harness mocks /api/auth/status to enable auth with no
+// signed-in user. With no password/OAuth providers configured, the page
+// offers API-token login — the path exercised here.
+test.describe('Login page', () => {
+  test.beforeEach(async ({ page }) => {
+    await page.route('**/api/auth/status', (route) =>
+      route.fulfill({
+        contentType: 'application/json',
+        body: JSON.stringify({
+          authEnabled: true,
+          staticApiKeyRequired: false,
+          user: null,
+          hasUsers: true,
+          providers: [],
+          registrationMode: 'open',
+          permissions: {},
+        }),
+      }),
+    )
+    await page.goto('/login')
+  })
+
+  test('renders the API token login option', async ({ page }) => {
+    await expect(page).toHaveURL(/\/login$/)
+    await expect(page.getByRole('button', { name: /Login with API Token/i })).toBeVisible()
+  })
+
+  test('reveals and accepts an API token', async ({ page }) => {
+    await page.getByRole('button', { name: /Login with API Token/i }).click()
+    const tokenInput = page.locator('input').first()
+    await expect(tokenInput).toBeVisible()
+    await tokenInput.fill('sk-test-token')
+    await expect(tokenInput).toHaveValue('sk-test-token')
+  })
+})

core/http/react-ui/e2e/manage-logs-link.spec.js

@@ -1,4 +1,4 @@
-import { test, expect } from '@playwright/test'
+import { test, expect } from './coverage-fixtures.js'
 
 test.describe('Manage Page - Backend Logs Link', () => {
   test('row action menu exposes Backend logs entry with terminal icon', async ({ page }) => {

core/http/react-ui/e2e/media-history.spec.js

@@ -1,4 +1,4 @@
-import { test, expect } from '@playwright/test'
+import { test, expect } from './coverage-fixtures.js'
 
 function mockCapabilities(page, capabilities) {
   return page.route('**/api/models/capabilities', (route) => {

core/http/react-ui/e2e/model-config.spec.js

@@ -1,4 +1,4 @@
-import { test, expect } from '@playwright/test'
+import { test, expect } from './coverage-fixtures.js'
 
 const MOCK_METADATA = {
   sections: [
@@ -188,4 +188,40 @@ test.describe('Model Editor - Interactive Tab', () => {
     await expect(page.locator('input[placeholder="Search fields to add..."]')).toBeVisible()
     await expect(page.locator('text=Model Name')).toBeVisible()
   })
+
+  test('shows the estimated VRAM annotation when the model has a context size', async ({ page }) => {
+    // Regression: the editor reads the /api/models/vram-estimate response,
+    // whose shape is snake_case (vram_display). The hook previously read
+    // camelCase (vramDisplay) and silently showed nothing.
+    await page.route('**/api/models/edit/mock-model', (route) => {
+      route.fulfill({
+        contentType: 'application/json',
+        body: JSON.stringify({
+          config: 'name: mock-model\nbackend: mock-backend\ncontext_size: 4096\nparameters:\n  model: mock-model.bin\n',
+          name: 'mock-model',
+        }),
+      })
+    })
+    let estimateCalled = false
+    await page.route('**/api/models/vram-estimate', (route) => {
+      estimateCalled = true
+      route.fulfill({
+        contentType: 'application/json',
+        body: JSON.stringify({
+          size_bytes: 4294967296,
+          size_display: '4 GiB',
+          vram_bytes: 5583457484,
+          vram_display: '5.2 GiB',
+          context_length: 4096,
+        }),
+      })
+    })
+
+    await page.goto('/app/model-editor/mock-model')
+    await expect(page.locator('h1', { hasText: 'Model Editor' })).toBeVisible({ timeout: 10_000 })
+
+    await expect(page.getByText(/~\s*5\.2 GiB VRAM/)).toBeVisible({ timeout: 10_000 })
+    expect(estimateCalled).toBe(true)
+  })
+
 })

core/http/react-ui/e2e/models-gallery.spec.js

@@ -1,4 +1,4 @@
-import { test, expect } from '@playwright/test'
+import { test, expect } from './coverage-fixtures.js'
 
 const MOCK_MODELS_RESPONSE = {
   models: [
@@ -15,6 +15,62 @@ const MOCK_MODELS_RESPONSE = {
   currentPage: 1,
 }
 
+const MOCK_GPU_RESOURCES_RESPONSE = {
+  type: 'gpu',
+  available: true,
+  gpus: [
+    {
+      index: 0,
+      name: 'Mock GPU',
+      vendor: 'nvidia',
+      total_vram: 12 * 1024 * 1024 * 1024,
+      used_vram: 2 * 1024 * 1024 * 1024,
+      free_vram: 10 * 1024 * 1024 * 1024,
+      usage_percent: 16.7,
+    },
+  ],
+  aggregate: {
+    total_memory: 12 * 1024 * 1024 * 1024,
+    used_memory: 2 * 1024 * 1024 * 1024,
+    free_memory: 10 * 1024 * 1024 * 1024,
+    usage_percent: 16.7,
+    gpu_count: 1,
+  },
+}
+
+const MOCK_ESTIMATES = {
+  'llama-model': {
+    sizeBytes: 4 * 1024 * 1024 * 1024,
+    sizeDisplay: '4.00 GB',
+    estimates: {
+      '8192': {
+        vramBytes: 8 * 1024 * 1024 * 1024,
+        vramDisplay: '8.00 GB',
+      },
+    },
+  },
+  'whisper-model': {
+    sizeBytes: 1 * 1024 * 1024 * 1024,
+    sizeDisplay: '1.00 GB',
+    estimates: {
+      '8192': {
+        vramBytes: 2 * 1024 * 1024 * 1024,
+        vramDisplay: '2.00 GB',
+      },
+    },
+  },
+  'stablediffusion-model': {
+    sizeBytes: 8 * 1024 * 1024 * 1024,
+    sizeDisplay: '8.00 GB',
+    estimates: {
+      '8192': {
+        vramBytes: 16 * 1024 * 1024 * 1024,
+        vramDisplay: '16.00 GB',
+      },
+    },
+  },
+}
+
 test.describe('Models Gallery - Backend Features', () => {
   test.beforeEach(async ({ page }) => {
     await page.route('**/api/models*', (route) => {
@@ -196,3 +252,56 @@ test.describe('Models Gallery - Multi-select Filters', () => {
     await expect(ttsBtn).not.toHaveClass(/active/)
   })
 })
+
+test.describe('Models Gallery - Fits In GPU Filter', () => {
+  test.beforeEach(async ({ page }) => {
+    await page.route('**/api/models*', (route) => {
+      route.fulfill({
+        contentType: 'application/json',
+        body: JSON.stringify(MOCK_MODELS_RESPONSE),
+      })
+    })
+
+    await page.route('**/api/resources', (route) => {
+      route.fulfill({
+        contentType: 'application/json',
+        body: JSON.stringify(MOCK_GPU_RESOURCES_RESPONSE),
+      })
+    })
+
+    await page.route('**/api/models/estimate/*', (route) => {
+      const url = new URL(route.request().url())
+      const id = decodeURIComponent(url.pathname.split('/').pop() || '')
+      route.fulfill({
+        contentType: 'application/json',
+        body: JSON.stringify(MOCK_ESTIMATES[id] || {}),
+      })
+    })
+
+    await page.goto('/app/models')
+    await expect(page.locator('th', { hasText: 'Backend' })).toBeVisible({ timeout: 10_000 })
+  })
+
+  test('fits toggle is visible when GPU resources are available', async ({ page }) => {
+    await expect(page.getByText('Fits in GPU')).toBeVisible()
+  })
+
+  test('enabling fits filter hides models that exceed available VRAM', async ({ page }) => {
+    await expect(page.locator('tr', { hasText: 'stablediffusion-model' })).toBeVisible()
+
+    // The shared <Toggle> visually hides its native input (opacity:0;w:0;h:0),
+    // so .check() can't interact with it directly — click the visible track.
+    await page.locator('label.filter-bar-group__toggle', { hasText: 'Fits in GPU' }).locator('.toggle__track').click()
+
+    await expect(page.locator('tr', { hasText: 'stablediffusion-model' })).toHaveCount(0)
+    await expect(page.locator('tr', { hasText: 'llama-model' })).toBeVisible()
+    // Unknown estimate stays visible until an explicit non-fit verdict exists.
+    await expect(page.locator('tr', { hasText: 'unknown-model' })).toBeVisible()
+  })
+
+  test('fits filter state persists after reload', async ({ page }) => {
+    await page.locator('label.filter-bar-group__toggle', { hasText: 'Fits in GPU' }).locator('.toggle__track').click()
+    await page.reload()
+    await expect(page.getByLabel('Fits in GPU')).toBeChecked()
+  })
+})

core/http/react-ui/e2e/navigation.spec.js

@@ -1,4 +1,4 @@
-import { test, expect } from '@playwright/test'
+import { test, expect } from './coverage-fixtures.js'
 
 test.describe('Navigation', () => {
   test('/ redirects to /app', async ({ page }) => {

core/http/react-ui/e2e/nodes-per-node-backend-actions.spec.js

@@ -1,4 +1,4 @@
-import { test, expect } from '@playwright/test'
+import { test, expect } from './coverage-fixtures.js'
 
 // These specs cover the per-node backend row in the Nodes page:
 //   - the upgrade affordance is self-explanatory (icon + tooltip)

core/http/react-ui/e2e/p2p.spec.js

@@ -0,0 +1,26 @@
+import { test, expect } from './coverage-fixtures.js'
+
+// P2P (Swarm) admin page — renders in the no-auth test harness (isAdmin).
+test.describe('P2P page', () => {
+  test.beforeEach(async ({ page }) => {
+    await page.goto('/app/p2p')
+  })
+
+  test('renders the P2P distribution overview and capability cards', async ({ page }) => {
+    await expect(page).toHaveURL(/\/app\/p2p$/)
+    await expect(page.getByRole('heading', { name: /P2P Distribution Not Enabled/i })).toBeVisible()
+    await expect(page.getByRole('heading', { name: 'Instance Federation' })).toBeVisible()
+    await expect(page.getByRole('heading', { name: 'Model Sharding' })).toBeVisible()
+    await expect(page.getByRole('heading', { name: 'Resource Sharing' })).toBeVisible()
+    await expect(page.getByRole('heading', { name: /How to Enable P2P/i })).toBeVisible()
+  })
+
+  test('hardware selector offers build targets and responds to selection', async ({ page }) => {
+    const cpu = page.getByRole('button').filter({ hasText: /^CPU$/ })
+    const cuda = page.getByRole('button').filter({ hasText: /^CUDA 12$/ })
+    await expect(cpu).toBeVisible()
+    await expect(cuda).toBeVisible()
+    await cuda.click() // selecting a build target must not break the page
+    await expect(page.getByRole('heading', { name: /How to Enable P2P/i })).toBeVisible()
+  })
+})

core/http/react-ui/e2e/settings-backend-logging.spec.js

@@ -1,4 +1,4 @@
-import { test, expect } from '@playwright/test'
+import { test, expect } from './coverage-fixtures.js'
 
 test.describe('Settings - Backend Logging', () => {
   test.beforeEach(async ({ page }) => {

core/http/react-ui/e2e/skills.spec.js

@@ -0,0 +1,20 @@
+import { test, expect } from './coverage-fixtures.js'
+
+// Skills feature page (src/pages/Skills.jsx).
+test.describe('Skills page', () => {
+  test.beforeEach(async ({ page }) => {
+    await page.goto('/app/skills')
+  })
+
+  test('renders the skills list with create affordances', async ({ page }) => {
+    await expect(page).toHaveURL(/\/app\/skills$/)
+    await expect(page.getByRole('heading', { name: 'Skills', exact: true })).toBeVisible()
+    await expect(page.getByRole('button', { name: 'New skill' })).toBeVisible()
+    await expect(page.getByRole('button', { name: 'Git Repos' })).toBeVisible()
+  })
+
+  test('New skill navigates to the skill editor', async ({ page }) => {
+    await page.getByRole('button', { name: 'New skill' }).click()
+    await expect(page).toHaveURL(/\/app\/skills\/new$/)
+  })
+})

core/http/react-ui/e2e/traces-errors.spec.js

@@ -1,4 +1,4 @@
-import { test, expect } from '@playwright/test'
+import { test, expect } from './coverage-fixtures.js'
 
 test.describe('Traces - Error Display', () => {
   test.beforeEach(async ({ page }) => {

core/http/react-ui/e2e/traces.spec.js

@@ -1,4 +1,4 @@
-import { test, expect } from '@playwright/test'
+import { test, expect } from './coverage-fixtures.js'
 
 test.describe('Traces Settings', () => {
   test.beforeEach(async ({ page }) => {

core/http/react-ui/package.json

@@ -10,7 +10,9 @@
     "lint": "eslint .",
     "i18n:extract": "i18next-parser",
     "test:e2e": "playwright test",
-    "test:e2e:ui": "playwright test --ui"
+    "test:e2e:ui": "playwright test --ui",
+    "build:coverage": "COVERAGE=true vite build",
+    "coverage:report": "nyc report"
   },
   "dependencies": {
     "@codemirror/autocomplete": "^6.18.6",
@@ -42,12 +44,14 @@
   "devDependencies": {
     "@eslint/js": "^9.27.0",
     "@playwright/test": "1.58.2",
-    "@vitejs/plugin-react": "^4.5.2",
+    "@vitejs/plugin-react": "^6.0.2",
     "eslint": "^9.27.0",
     "eslint-plugin-react-hooks": "^5.2.0",
     "eslint-plugin-react-refresh": "^0.4.20",
     "globals": "^16.1.0",
     "i18next-parser": "^9.4.0",
-    "vite": "^6.4.2"
+    "nyc": "^18.0.0",
+    "vite": "^8.0.14",
+    "vite-plugin-istanbul": "^9.0.0"
   }
 }

core/http/react-ui/playwright.config.js

@@ -12,7 +12,16 @@ export default defineConfig({
   projects: [
     {
       name: 'chromium',
-      use: { browserName: 'chromium' },
+      use: {
+        browserName: 'chromium',
+        // Use a nix-provided Chromium when PLAYWRIGHT_CHROMIUM_PATH is set
+        // (the flake dev shell exports it). Avoids Playwright's downloaded
+        // browser, which can't resolve system libs (libglib-2.0, …) on NixOS.
+        // Unset in CI, where `playwright install --with-deps` is used instead.
+        ...(process.env.PLAYWRIGHT_CHROMIUM_PATH
+          ? { launchOptions: { executablePath: process.env.PLAYWRIGHT_CHROMIUM_PATH } }
+          : {}),
+      },
     },
   ],
   webServer: process.env.PLAYWRIGHT_EXTERNAL_SERVER ? undefined : {

core/http/react-ui/public/locales/de/models.json

@@ -23,6 +23,7 @@
     "diarization": "Diarisierung",
     "embedding": "Embedding",
     "rerank": "Rerank",
+    "fitsGpu": "Passt in die GPU",
     "allBackends": "Alle Backends",
     "searchBackends": "Backends suchen..."
   },

core/http/react-ui/public/locales/en/models.json

@@ -29,6 +29,7 @@
     "rerank": "Rerank",
     "detection": "Detection",
     "vad": "VAD",
+    "fitsGpu": "Fits in GPU",
     "allBackends": "All Backends",
     "searchBackends": "Search backends..."
   },

core/http/react-ui/public/locales/es/models.json

@@ -23,6 +23,7 @@
     "diarization": "Diarización",
     "embedding": "Embedding",
     "rerank": "Rerank",
+    "fitsGpu": "Cabe en la GPU",
     "allBackends": "Todos los backends",
     "searchBackends": "Buscar backends..."
   },

core/http/react-ui/public/locales/it/models.json

@@ -23,6 +23,7 @@
     "diarization": "Diarizzazione",
     "embedding": "Embedding",
     "rerank": "Rerank",
+    "fitsGpu": "Entra nella GPU",
     "allBackends": "Tutti i backend",
     "searchBackends": "Cerca backend..."
   },

core/http/react-ui/public/locales/zh-CN/models.json

@@ -23,6 +23,7 @@
     "diarization": "说话人分离",
     "embedding": "嵌入",
     "rerank": "重排",
+    "fitsGpu": "适合 GPU",
     "allBackends": "所有后端",
     "searchBackends": "搜索后端..."
   },

core/http/react-ui/src/contexts/OperationsContext.jsx

@@ -0,0 +1,100 @@
+import { createContext, useContext, useState, useEffect, useCallback, useRef } from 'react'
+import { operationsApi } from '../utils/api'
+import { useAuth } from '../context/AuthContext'
+
+// Serialize ops into a stable comparison key. Each op is a flat map of
+// primitives, so JSON.stringify is good enough and stable as long as the
+// server emits keys in the same order (Go's map iteration into JSON happens
+// to be stable here because we build an explicit map[string]any).
+function serializeOps(ops) {
+  return JSON.stringify(ops)
+}
+
+const OperationsContext = createContext(null)
+
+// Single shared poller for /api/operations. Before this provider existed,
+// each useOperations() call ran its own setInterval; with OperationsBar
+// always mounted plus the per-page consumers (Models, Backends, Chat), the
+// browser was firing 2-3 polls per second against the API for the lifetime
+// of the session.
+export function OperationsProvider({ children, pollInterval = 1000 }) {
+  const [operations, setOperations] = useState([])
+  const [loading, setLoading] = useState(true)
+  const [error, setError] = useState(null)
+  const { isAdmin } = useAuth()
+  const intervalRef = useRef(null)
+  const lastSerializedRef = useRef('[]')
+
+  const fetchOperations = useCallback(async () => {
+    if (!isAdmin) {
+      setLoading((prev) => (prev ? false : prev))
+      return
+    }
+    try {
+      const data = await operationsApi.list()
+      const ops = data?.operations || (Array.isArray(data) ? data : [])
+
+      const serialized = serializeOps(ops)
+      if (serialized !== lastSerializedRef.current) {
+        lastSerializedRef.current = serialized
+        setOperations(ops)
+      }
+
+      setError((prev) => (prev === null ? prev : null))
+    } catch (err) {
+      setError((prev) => (prev === err.message ? prev : err.message))
+    } finally {
+      setLoading((prev) => (prev ? false : prev))
+    }
+  }, [isAdmin])
+
+  useEffect(() => {
+    if (!isAdmin) return
+    fetchOperations()
+    intervalRef.current = setInterval(fetchOperations, pollInterval)
+    return () => {
+      if (intervalRef.current) {
+        clearInterval(intervalRef.current)
+        intervalRef.current = null
+      }
+    }
+  }, [fetchOperations, pollInterval, isAdmin])
+
+  const cancelOperation = useCallback(async (jobID) => {
+    try {
+      await operationsApi.cancel(jobID)
+      await fetchOperations()
+    } catch (err) {
+      setError(err.message)
+    }
+  }, [fetchOperations])
+
+  const dismissFailedOp = useCallback(async (opId) => {
+    try {
+      const op = operations.find((o) => o.id === opId)
+      if (op?.jobID) {
+        await operationsApi.dismiss(op.jobID)
+        await fetchOperations()
+      }
+    } catch {
+      // Ignore dismiss errors
+    }
+  }, [operations, fetchOperations])
+
+  const value = {
+    operations,
+    loading,
+    error,
+    cancelOperation,
+    dismissFailedOp,
+    refetch: fetchOperations,
+  }
+
+  return <OperationsContext.Provider value={value}>{children}</OperationsContext.Provider>
+}
+
+export function useOperations() {
+  const ctx = useContext(OperationsContext)
+  if (!ctx) throw new Error('useOperations must be used within OperationsProvider')
+  return ctx
+}

core/http/react-ui/src/hooks/useOperations.js

@@ -1,98 +1,4 @@
-import { useState, useEffect, useCallback, useRef } from 'react'
-import { operationsApi } from '../utils/api'
-import { useAuth } from '../context/AuthContext'
-
-// Serialize ops into a stable comparison key. Each op is a flat map of
-// primitives, so JSON.stringify is good enough and stable as long as the
-// server emits keys in the same order (Go's map iteration into JSON happens
-// to be stable here because we build an explicit map[string]any).
-function serializeOps(ops) {
-  return JSON.stringify(ops)
-}
-
-export function useOperations(pollInterval = 1000) {
-  const [operations, setOperations] = useState([])
-  const [loading, setLoading] = useState(true)
-  const [error, setError] = useState(null)
-  const intervalRef = useRef(null)
-  const { isAdmin } = useAuth()
-
-  const previousCountRef = useRef(0)
-  const onAllCompleteRef = useRef(null)
-  // Track the last payload we wrote into state. Each poll otherwise produces
-  // a fresh array reference even when nothing changed, and that re-render
-  // ripples into the Chat page — wiping the user's text selection mid-read
-  // (#9904).
-  const lastSerializedRef = useRef('[]')
-
-  const fetchOperations = useCallback(async () => {
-    if (!isAdmin) {
-      setLoading((prev) => (prev ? false : prev))
-      return
-    }
-    try {
-      const data = await operationsApi.list()
-      const ops = data?.operations || (Array.isArray(data) ? data : [])
-
-      const serialized = serializeOps(ops)
-      if (serialized !== lastSerializedRef.current) {
-        lastSerializedRef.current = serialized
-        setOperations(ops)
-      }
-
-      // Separate active (non-failed) operations from failed ones
-      const activeOps = ops.filter(op => !op.error)
-      const failedOps = ops.filter(op => op.error)
-
-      // Notify when all operations complete (no active or failed remaining)
-      if (previousCountRef.current > 0 && activeOps.length === 0 && failedOps.length === 0) {
-        onAllCompleteRef.current?.()
-      }
-      previousCountRef.current = activeOps.length
-
-      setError((prev) => (prev === null ? prev : null))
-    } catch (err) {
-      setError((prev) => (prev === err.message ? prev : err.message))
-    } finally {
-      setLoading((prev) => (prev ? false : prev))
-    }
-  }, [isAdmin])
-
-  const cancelOperation = useCallback(async (jobID) => {
-    try {
-      await operationsApi.cancel(jobID)
-      await fetchOperations()
-    } catch (err) {
-      setError(err.message)
-    }
-  }, [fetchOperations])
-
-  // Dismiss a failed operation (acknowledge the error and remove it)
-  const dismissFailedOp = useCallback(async (opId) => {
-    try {
-      const op = operations.find(o => o.id === opId)
-      if (op?.jobID) {
-        await operationsApi.dismiss(op.jobID)
-        await fetchOperations()
-      }
-    } catch {
-      // Ignore dismiss errors
-    }
-  }, [operations, fetchOperations])
-
-  useEffect(() => {
-    if (!isAdmin) return
-    fetchOperations()
-    intervalRef.current = setInterval(fetchOperations, pollInterval)
-    return () => {
-      if (intervalRef.current) clearInterval(intervalRef.current)
-    }
-  }, [fetchOperations, pollInterval, isAdmin])
-
-  // Allow callers to register a callback for when all operations finish
-  const onAllComplete = useCallback((cb) => {
-    onAllCompleteRef.current = cb
-  }, [])
-
-  return { operations, loading, error, cancelOperation, dismissFailedOp, refetch: fetchOperations, onAllComplete }
-}
+// useOperations now lives in OperationsContext so all consumers
+// (OperationsBar, Models, Backends, Chat) share a single poller instead
+// of each spinning up its own setInterval against /api/operations.
+export { useOperations } from '../contexts/OperationsContext'

core/http/react-ui/src/hooks/useVramEstimate.js

@@ -32,7 +32,11 @@ export function useVramEstimate({ model, contextSize, gpuLayers }) {
         const data = await modelsApi.estimateVram(body, { signal: controller.signal })
 
         if (!controller.signal.aborted) {
-          setVramDisplay(data?.vramDisplay || null)
+          // The /api/models/vram-estimate response is the legacy EstimateResult
+          // shape (snake_case: size_bytes / vram_bytes / vram_display), not
+          // camelCase. Reading data.vramDisplay silently yielded undefined, so
+          // the estimate never rendered.
+          setVramDisplay(data?.vram_display || null)
           setLoading(false)
         }
       } catch {

core/http/react-ui/src/main.jsx

@@ -4,6 +4,7 @@ import { RouterProvider } from 'react-router-dom'
 import { ThemeProvider } from './contexts/ThemeContext'
 import { BrandingProvider } from './contexts/BrandingContext'
 import { AuthProvider } from './context/AuthContext'
+import { OperationsProvider } from './contexts/OperationsContext'
 import { router } from './router'
 import './i18n'
 import '@fortawesome/fontawesome-free/css/all.min.css'
@@ -30,7 +31,9 @@ createRoot(document.getElementById('root')).render(
       <ThemeProvider>
         <BrandingProvider>
           <AuthProvider>
-            <RouterProvider router={router} />
+            <OperationsProvider>
+              <RouterProvider router={router} />
+            </OperationsProvider>
           </AuthProvider>
         </BrandingProvider>
       </ThemeProvider>

core/http/react-ui/src/pages/Models.jsx

@@ -9,11 +9,13 @@ import { useResources } from '../hooks/useResources'
 import SearchableSelect from '../components/SearchableSelect'
 import ConfirmDialog from '../components/ConfirmDialog'
 import GalleryLoader from '../components/GalleryLoader'
+import Toggle from '../components/Toggle'
 import React from 'react'
 
 
 const CONTEXT_SIZES = [8192, 16384, 32768, 65536, 131072, 262144]
 const CONTEXT_LABELS = ['8K', '16K', '32K', '64K', '128K', '256K']
+const FITS_FILTER_STORAGE_KEY = 'localai-models-fits-filter'
 
 
 const FILTERS = [
@@ -59,6 +61,13 @@ export default function Models() {
   const [estimates, setEstimates] = useState({})
   const [contextSize, setContextSize] = useState(CONTEXT_SIZES[0])
   const [confirmDialog, setConfirmDialog] = useState(null)
+  const [fitsFilter, setFitsFilter] = useState(() => {
+    try {
+      return localStorage.getItem(FITS_FILTER_STORAGE_KEY) === '1'
+    } catch {
+      return false
+    }
+  })
 
   // Total GPU memory for "fits" check
   const totalGpuMemory = resources?.aggregate?.total_memory || 0
@@ -240,6 +249,23 @@ export default function Models() {
     return vramBytes <= totalGpuMemory * 0.95
   }
 
+  useEffect(() => {
+    try {
+      localStorage.setItem(FITS_FILTER_STORAGE_KEY, fitsFilter ? '1' : '0')
+    } catch {
+      // Ignore storage errors (e.g., private browsing restrictions).
+    }
+  }, [fitsFilter])
+
+  const visibleModels = models.filter((model) => {
+    if (!fitsFilter) return true
+    const name = model.name || model.id
+    const vramBytes = estimates[name]?.estimates?.[String(contextSize)]?.vramBytes
+    const fit = fitsGpu(vramBytes)
+    // Keep models visible while estimate is still loading; hide only explicit non-fits.
+    return fit !== false
+  })
+
   return (
     <div className="page page--wide">
       <div className="page-header" style={{ display: 'flex', justifyContent: 'space-between', alignItems: 'flex-start' }}>
@@ -300,6 +326,13 @@ export default function Models() {
             </button>
           )
         })}
+        {totalGpuMemory > 0 && (
+          <label className="filter-bar-group__toggle" style={{ marginLeft: 'auto' }}>
+            <Toggle checked={fitsFilter} onChange={setFitsFilter} />
+            <i className="fas fa-microchip" />
+            <span>{t('filters.fitsGpu')}</span>
+          </label>
+        )}
         {allBackends.length > 0 && (
           <SearchableSelect
             value={backendFilter}
@@ -308,7 +341,7 @@ export default function Models() {
             placeholder={t('filters.allBackends')}
             allOption={t('filters.allBackends')}
             searchPlaceholder={t('filters.searchBackends')}
-            style={{ marginLeft: 'auto' }}
+            style={totalGpuMemory > 0 ? undefined : { marginLeft: 'auto' }}
           />
         )}
       </div>
@@ -335,17 +368,17 @@ export default function Models() {
       {/* Table */}
       {loading ? (
         <GalleryLoader />
-      ) : models.length === 0 ? (
+      ) : visibleModels.length === 0 ? (
         <div className="empty-state">
           <div className="empty-state-icon"><i className="fas fa-search" /></div>
           <h2 className="empty-state-title">{t('empty.title')}</h2>
           <p className="empty-state-text">
-            {search || filters.length > 0 || backendFilter ? t('empty.withFilters') : t('empty.noFilters')}
+            {search || filters.length > 0 || backendFilter || fitsFilter ? t('empty.withFilters') : t('empty.noFilters')}
           </p>
-          {(search || filters.length > 0 || backendFilter) && (
+          {(search || filters.length > 0 || backendFilter || fitsFilter) && (
             <button
               className="btn btn-secondary btn-sm"
-              onClick={() => { handleSearch(''); setFilters([]); setBackendFilter(''); setPage(1) }}
+              onClick={() => { handleSearch(''); setFilters([]); setBackendFilter(''); setFitsFilter(false); setPage(1) }}
             >
               <i className="fas fa-times" /> {t('search.clearFilters')}
             </button>
@@ -372,7 +405,7 @@ export default function Models() {
                 </tr>
               </thead>
               <tbody>
-                {models.map((model, idx) => {
+                {visibleModels.map((model, idx) => {
                   const name = model.name || model.id
                   const estData = estimates[name]
                   const sizeDisplay = estData?.sizeDisplay

core/http/react-ui/vite.config.js

@@ -1,10 +1,32 @@
 import { defineConfig } from 'vite'
 import react from '@vitejs/plugin-react'
+import istanbul from 'vite-plugin-istanbul'
 
 const backendUrl = process.env.LOCALAI_URL || 'http://localhost:8080'
 
+// COVERAGE=true produces an instrumented build whose modules report istanbul
+// counters on window.__coverage__, harvested by the Playwright coverage
+// fixture (e2e/coverage-fixtures.js). Off by default so normal/dev/prod builds
+// carry no instrumentation overhead.
+const coverage = process.env.COVERAGE === 'true'
+
 export default defineConfig({
-  plugins: [react()],
+  plugins: [
+    react(),
+    ...(coverage
+      ? [
+          istanbul({
+            include: 'src/**/*',
+            extension: ['.js', '.jsx', '.ts', '.tsx'],
+            requireEnv: false,
+            // The e2e suite runs against `vite build` output, not the dev
+            // server, so instrumentation must be applied to the production
+            // build too (the plugin only instruments dev mode otherwise).
+            forceBuildInstrument: true,
+          }),
+        ]
+      : []),
+  ],
   base: '/',
   server: {
     port: 3000,

coverage-baseline.txt

@@ -0,0 +1 @@
+45.0

docs/content/features/object-detection.md

@@ -5,7 +5,7 @@ weight = 13
 url = "/features/object-detection/"
 +++
 
-LocalAI supports object detection and image segmentation through various backends. This feature allows you to identify and locate objects within images with high accuracy and real-time performance. Available backends include [RF-DETR](https://github.com/roboflow/rf-detr) for object detection and [sam3.cpp](https://github.com/PABannier/sam3.cpp) for image segmentation (SAM 3/2/EdgeTAM).
+LocalAI supports object detection and image segmentation through various backends. This feature allows you to identify and locate objects within images with high accuracy and real-time performance. Available backends include [RF-DETR](https://github.com/roboflow/rf-detr) (Python) and [rf-detr.cpp](https://github.com/mudler/rf-detr.cpp) (native C++/ggml) for object detection and segmentation, and [sam3.cpp](https://github.com/PABannier/sam3.cpp) for image segmentation (SAM 3/2/EdgeTAM).
 
 For detecting **faces** specifically, see the dedicated
 [Face Recognition](/features/face-recognition/) feature — its
@@ -135,6 +135,74 @@ Currently, the following model is available in the [Model Gallery]({{%relref "fe
 
 You can browse and install this model through the LocalAI web interface or using the command line.
 
+### RF-DETR Native Backend (rfdetr-cpp)
+
+The `rfdetr-cpp` backend is a native C++/ggml implementation of RF-DETR
+inference based on [rf-detr.cpp](https://github.com/mudler/rf-detr.cpp). It
+runs as a Go gRPC service that dlopens a per-CPU-variant shared library, so
+there is no Python runtime on the inference path — startup is fast and the
+binary is self-contained.
+
+Compared to the Python `rfdetr` backend, the native backend:
+
+- Has no Python or PyTorch dependency at inference time
+- Loads quantized GGUF models (F32, F16, Q8_0, Q4_K) for smaller footprint
+- Supports both detection and segmentation variants of RF-DETR
+- Returns segmentation masks as PNG bytes in `Detection.mask`
+
+#### Setup
+
+1. **Install the backend**
+
+   ```bash
+   local-ai backends install rfdetr-cpp
+   ```
+
+2. **Using the Model Gallery (Recommended)**
+
+   The gallery ships ready-to-run entries for every published variant:
+
+   ```bash
+   # Detection variants
+   local-ai run rfdetr-cpp-nano
+   local-ai run rfdetr-cpp-small
+   local-ai run rfdetr-cpp-base
+   local-ai run rfdetr-cpp-medium
+   local-ai run rfdetr-cpp-large
+
+   # Segmentation variants (return per-instance PNG masks)
+   local-ai run rfdetr-cpp-seg-nano
+   local-ai run rfdetr-cpp-seg-small
+   local-ai run rfdetr-cpp-seg-medium
+   local-ai run rfdetr-cpp-seg-large
+   local-ai run rfdetr-cpp-seg-xlarge
+   local-ai run rfdetr-cpp-seg-2xlarge
+   ```
+
+3. **Manual Configuration**
+
+   ```yaml
+   name: rfdetr-cpp-seg-nano
+   backend: rfdetr-cpp
+   parameters:
+     model: rfdetr-seg-nano-f16.gguf
+     threads: 4
+   known_usecases:
+     - detection
+   ```
+
+   Pre-quantized GGUFs are published under
+   [`mudler/rfdetr-cpp-*`](https://huggingface.co/mudler?search_models=rfdetr-cpp)
+   on Hugging Face. Each repo carries the F32/F16/Q8_0/Q4_K quants — F16 is
+   the recommended default (matches F32 accuracy, ~1.86x smaller).
+
+#### Segmentation Output
+
+When running a segmentation model (any `rfdetr-cpp-seg-*` variant), each
+`Detection` in the response carries a `mask` field with a base64-encoded
+PNG of the per-instance binary mask. The mask is sized to the original
+image resolution and aligns with the corresponding bounding box.
+
 ### SAM3 Backend (sam3-cpp)
 
 The sam3-cpp backend provides image segmentation using [sam3.cpp](https://github.com/PABannier/sam3.cpp), a portable C++ implementation of Meta's Segment Anything Model. It supports multiple model architectures:
@@ -261,7 +329,8 @@ local-ai run --debug rfdetr-base
 
 LocalAI includes a dedicated **object-detection** category for models and backends that specialize in identifying and locating objects within images. This category currently includes:
 
-- **RF-DETR**: Real-time transformer-based object detection
+- **RF-DETR**: Real-time transformer-based object detection (Python backend)
+- **rfdetr-cpp**: Native C++/ggml RF-DETR for detection + segmentation
 - **sam3-cpp**: SAM 3/2/EdgeTAM image segmentation
 
 Additional object detection models and backends will be added to this category in the future. You can filter models by the `object-detection` tag in the model gallery to find all available object detection models.

docs/content/features/text-generation.md

@@ -515,7 +515,7 @@ The `llama.cpp` backend supports additional configuration options that can be sp
 | `kv_unified` or `unified_kv` | boolean | Use a single unified KV buffer shared across all sequences. Default: `true` (LocalAI override; upstream defaults to `false` but auto-enables it when slot count is auto). **Required for `cache_idle_slots` to work**: without it the server force-disables idle-slot saving at init, and the prompt cache is never written across requests. | `kv_unified:false` |
 | `cache_idle_slots` or `idle_slots_cache` | boolean | On a new task, save the previous slot's KV state into the prompt cache (and clear the slot) so a later request with the same prefix can warm-load it. Default: `true`. Auto-disabled by the server if `kv_unified=false` or `cache_ram=0`. | `cache_idle_slots:false` |
 | `n_ctx_checkpoints` or `ctx_checkpoints` | integer | Maximum number of context checkpoints per slot (used for partial-prefix recovery, e.g. SWA). Default: `32`. | `ctx_checkpoints:16` |
-| `checkpoint_every_nt` or `checkpoint_every_n_tokens` | integer | Create a context checkpoint every N tokens during prefill. `-1` disables checkpointing. Default: `8192`. | `checkpoint_every_nt:4096` |
+| `checkpoint_min_step` or `checkpoint_min_spacing` (aliases: `checkpoint_every_nt`, `checkpoint_every_n_tokens`) | integer | Minimum spacing in tokens between context checkpoints. `0` disables the minimum-spacing gate. Default: `256`. (Renamed upstream from `checkpoint_every_nt`; semantics shifted from a fixed cadence to a minimum spacing.) | `checkpoint_min_step:1024` |
 | `split_mode` or `sm` | string | How to split the model across multiple GPUs: `none` (single GPU only), `layer` (default — split layers and KV across GPUs), `row` (split rows across GPUs), `tensor` (experimental tensor parallelism — requires `flash_attention: true`, no KV-cache quantization, manually set `context_size`, and a llama.cpp build that includes [#19378](https://github.com/ggml-org/llama.cpp/pull/19378)). | `split_mode:tensor` |
 
 **Example configuration with options:**

docs/data/version.json

@@ -1,3 +1,3 @@
 {
-  "version": "v4.2.6"
+  "version": "v4.3.1"
 }

flake.nix

@@ -73,6 +73,7 @@
           # React UI build (core/http/react-ui — `make react-ui`)
           nodejs
           bun  # alternative to npm, used by `make react-ui-docker`
+          chromium  # Playwright e2e / UI coverage browser (see PLAYWRIGHT_CHROMIUM_PATH below)
 
           # Linting / static analysis (see `make lint`)
           golangci-lint
@@ -86,6 +87,13 @@
         ];
 
         shellHook = ''
+          # Point Playwright at the nix-provided Chromium instead of its own
+          # downloaded build, which can't resolve system libs (libglib-2.0, …)
+          # on NixOS. playwright.config.js reads PLAYWRIGHT_CHROMIUM_PATH and
+          # the Makefile skips `playwright install` when it's set.
+          export PLAYWRIGHT_CHROMIUM_PATH="${pkgs.chromium}/bin/chromium"
+          export PLAYWRIGHT_SKIP_BROWSER_DOWNLOAD=1
+
           echo "LocalAI dev shell: $(go version), node $(node --version)"
           echo "Build:       make build       (Go binary + React UI)"
           echo "React UI:    make react-ui    (npm install && vite build)"

gallery/index.yaml

@@ -1,4 +1,118 @@
 ---
+- name: "qwopus3.5-9b-coder-mtp"
+  url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
+  urls:
+    - https://huggingface.co/Jackrong/Qwopus3.5-9B-Coder-MTP-GGUF
+  description: |
+    # 🌟 Qwopus3.5-9B-v3.5
+
+    ## 💡 Model Overview & v3.5 Design
+
+    Qwopus3.5-9B-v3.5 is a **data-scaled continuation** of the Qwopus3.5-9B-v3 model.
+
+    The training data in v3.5 is expanded to cover a broader range of domains, including mathematics, programming, puzzle-solving, multilingual dialogue, instruction-following, multi-turn interactions, and STEM-related tasks.
+
+    Qwopus3.5-9B-v3.5 is a reasoning-enhanced model based on **Qwen3.5-9B**, designed for:
+
+      - 🧩 Structured reasoning
+      - 🔧 Tool-augmented workflows
+      - 🔁 Multi-step agentic tasks
+      - ⚡ Token-efficient inference
+
+    Compared with Qwopus3.5-9B-v3, **3.5 version does not introduce a new architecture, RL stage, or template redesign**.
+
+    This version is trained with approximately **2× more SFT data**.
+
+    ## 🎯 Motivation & Generalization Insight
+
+    The motivation behind v3.5 comes from a simple observation:
+
+    > This work is motivated by the hypothesis that scaling high-quality SFT data may further enhance the generalization ability of large language models.
+
+    In earlier Qwopus3.5 experiments, structured reasoning was observed to improve both **accuracy and efficiency**:
+
+    ...
+  license: "apache-2.0"
+  tags:
+    - llm
+    - gguf
+    - reasoning
+  icon: https://cdn-uploads.huggingface.co/production/uploads/66309bd090589b7c65950665/9EnS13MSxNU3snpAgEiLq.jpeg
+  overrides:
+    backend: llama-cpp
+    function:
+      automatic_tool_parsing_fallback: true
+      grammar:
+        disable: true
+    known_usecases:
+      - chat
+    mmproj: llama-cpp/mmproj/Qwopus3.5-9B-Coder-MTP-GGUF/Qwopus3.5-9B-Coder-MTP-mmproj.gguf
+    options:
+      - use_jinja:true
+      - spec_type:draft-mtp
+      - spec_n_max:6
+      - spec_p_min:0.75
+    parameters:
+      model: llama-cpp/models/Qwopus3.5-9B-Coder-MTP-GGUF/Qwopus3.5-9B-Coder-MTP-Q4_K_M.gguf
+    template:
+      use_tokenizer_template: true
+  files:
+    - filename: llama-cpp/models/Qwopus3.5-9B-Coder-MTP-GGUF/Qwopus3.5-9B-Coder-MTP-Q4_K_M.gguf
+      sha256: f6fc5d193045796d9e1870cbc40f827fe55f53f70593c3f5c1968b82b9331991
+      uri: https://huggingface.co/Jackrong/Qwopus3.5-9B-Coder-MTP-GGUF/resolve/main/Qwopus3.5-9B-Coder-MTP-Q4_K_M.gguf
+    - filename: llama-cpp/mmproj/Qwopus3.5-9B-Coder-MTP-GGUF/Qwopus3.5-9B-Coder-MTP-mmproj.gguf
+      sha256: f48daca405a1c768a9514e392c3955dcc4a9d66a5cf64cf45e064092b5f20ee4
+      uri: https://huggingface.co/Jackrong/Qwopus3.5-9B-Coder-MTP-GGUF/resolve/main/Qwopus3.5-9B-Coder-MTP-mmproj.gguf
+- name: "qwopus3.6-27b-v2-mtp"
+  url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
+  urls:
+    - https://huggingface.co/Jackrong/Qwopus3.6-27B-v2-MTP-GGUF
+  description: |
+    🪐 Qwopus3.6-27B-v2-MTP
+    MTP Release
+
+    Multi-Token Prediction reasoning model fine-tuned from Qwen3.6-27B
+
+    🧬 Trace Inversion & Negentropy
+    🧠 27B Parameters
+    ⚡ Speculative Decoding
+    🛠️ Coding / DevOps / Math
+
+    💡 What is Qwopus3.6-27B-v2-MTP?
+    🪐 Qwopus3.6-27B-v2-MTP is a speed-oriented reasoning release built on top of Qwen3.6-27B. It keeps the Qwopus line's focus on reconstructed reasoning traces, coding discipline, DevOps procedures, and mathematical derivations, while adding Multi-Token Prediction for faster generation. The goal is simple: preserve the depth and structure of a 27B reasoning model while making real interactive use noticeably faster.
+
+    ⚡ MTP DecodingAuxiliary future-token prediction improves throughput on long reasoning, code, math, and strict-format prompts.
+    🧩 Structured ReasoningInherits the Qwopus training recipe built around reconstructed step-by-step reasoning trajectories.
+    🧪 GB10 TestedValidated on a 30-question local benchmark across Logic, Coding, DevOps, Math, and Edge tasks.
+    🚀 Practical SpeedDesigned for workflows where strong answers matter, but waiting several extra minutes per task does not.
+
+    ...
+  license: "apache-2.0"
+  tags:
+    - llm
+    - gguf
+    - reasoning
+  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:
+      model: llama-cpp/models/Qwopus3.6-27B-v2-MTP-GGUF/Qwopus3.6-27B-v2-MTP-Q4_K_M.gguf
+    template:
+      use_tokenizer_template: true
+  files:
+    - filename: llama-cpp/models/Qwopus3.6-27B-v2-MTP-GGUF/Qwopus3.6-27B-v2-MTP-Q4_K_M.gguf
+      sha256: 818d68223be4d8518dac0b3b5604dde633cbbcbae1f491d842a3e26711c6606d
+      uri: https://huggingface.co/Jackrong/Qwopus3.6-27B-v2-MTP-GGUF/resolve/main/Qwopus3.6-27B-v2-MTP-Q4_K_M.gguf
 - name: "qwen3.6-40b-claude-4.6-opus-deckard-heretic-uncensored-thinking-neo-code-di-imatrix-max"
   url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
   urls:
@@ -6068,6 +6182,317 @@
       - detection
     parameters:
       model: rfdetr-base
+- name: rfdetr-cpp-nano
+  url: github:mudler/LocalAI/gallery/virtual.yaml@master
+  urls:
+    - https://github.com/mudler/rf-detr.cpp
+    - https://huggingface.co/mudler/rfdetr-cpp-nano
+  description: |
+    RF-DETR Nano object detection model, served via the native rfdetr.cpp backend (ggml + purego, no Python).
+    Q8_0 quantization is the recommended default for CPU: same accuracy as F16/F32, ~20MB on disk, fastest CPU latency.
+    Pure C++/ggml runtime; no Python dependencies. Drop-in for the /v1/detection endpoint.
+  license: apache-2.0
+  icon: https://avatars.githubusercontent.com/u/53104118?s=200&v=4
+  tags:
+    - object-detection
+    - rfdetr
+    - native
+    - cpp
+    - cpu
+  overrides:
+    backend: rfdetr-cpp
+    known_usecases:
+      - detection
+    parameters:
+      model: rfdetr-nano-q8_0.gguf
+  files:
+    - filename: rfdetr-nano-q8_0.gguf
+      uri: huggingface://mudler/rfdetr-cpp-nano/rfdetr-nano-q8_0.gguf
+- name: rfdetr-cpp-base
+  url: github:mudler/LocalAI/gallery/virtual.yaml@master
+  urls:
+    - https://github.com/mudler/rf-detr.cpp
+    - https://huggingface.co/mudler/rfdetr-cpp-base
+  description: |
+    RF-DETR Base object detection model, served via the native rfdetr.cpp backend.
+    F16 quantization is recommended on CPU: identical accuracy to F32, half the size, fastest.
+  license: apache-2.0
+  icon: https://avatars.githubusercontent.com/u/53104118?s=200&v=4
+  tags:
+    - object-detection
+    - rfdetr
+    - native
+    - cpp
+    - cpu
+  overrides:
+    backend: rfdetr-cpp
+    known_usecases:
+      - detection
+    parameters:
+      model: rfdetr-base-f16.gguf
+  files:
+    - filename: rfdetr-base-f16.gguf
+      uri: huggingface://mudler/rfdetr-cpp-base/rfdetr-base-f16.gguf
+- name: rfdetr-cpp-small
+  url: github:mudler/LocalAI/gallery/virtual.yaml@master
+  urls:
+    - https://github.com/mudler/rf-detr.cpp
+    - https://huggingface.co/mudler/rfdetr-cpp-small
+  description: |
+    RF-DETR Small object detection model (DINOv2-small backbone, 512px input, 3 decoder layers), served
+    via the native rfdetr.cpp backend (ggml + purego, no Python). A step up from Nano in accuracy while
+    staying lightweight on CPU. F16 quantization is the recommended default: identical accuracy to F32
+    at roughly half the size. Drop-in for the /v1/detection endpoint.
+  license: apache-2.0
+  icon: https://avatars.githubusercontent.com/u/53104118?s=200&v=4
+  tags:
+    - object-detection
+    - rfdetr
+    - native
+    - cpp
+    - cpu
+  overrides:
+    backend: rfdetr-cpp
+    known_usecases:
+      - detection
+    parameters:
+      model: rfdetr-small-f16.gguf
+  files:
+    - filename: rfdetr-small-f16.gguf
+      sha256: 5365264a976bb99ab31f735f43326e50b0804a60cd1709abe8c1c95114c4d79d
+      uri: huggingface://mudler/rfdetr-cpp-small/rfdetr-small-f16.gguf
+- name: rfdetr-cpp-medium
+  url: github:mudler/LocalAI/gallery/virtual.yaml@master
+  urls:
+    - https://github.com/mudler/rf-detr.cpp
+    - https://huggingface.co/mudler/rfdetr-cpp-medium
+  description: |
+    RF-DETR Medium object detection model (DINOv2-small backbone, 576px input, 4 decoder layers), served
+    via the native rfdetr.cpp backend. Balanced detection quality vs. CPU latency — recommended when
+    Base is not accurate enough but Large is too slow. F16 quantization is the recommended default:
+    identical accuracy to F32, half the size. Drop-in for the /v1/detection endpoint.
+  license: apache-2.0
+  icon: https://avatars.githubusercontent.com/u/53104118?s=200&v=4
+  tags:
+    - object-detection
+    - rfdetr
+    - native
+    - cpp
+    - cpu
+  overrides:
+    backend: rfdetr-cpp
+    known_usecases:
+      - detection
+    parameters:
+      model: rfdetr-medium-f16.gguf
+  files:
+    - filename: rfdetr-medium-f16.gguf
+      sha256: 685b8f50890f099bbc603454309b2d5f1d471541420b95c20c6ed296aec1e7ae
+      uri: huggingface://mudler/rfdetr-cpp-medium/rfdetr-medium-f16.gguf
+- name: rfdetr-cpp-large
+  url: github:mudler/LocalAI/gallery/virtual.yaml@master
+  urls:
+    - https://github.com/mudler/rf-detr.cpp
+    - https://huggingface.co/mudler/rfdetr-cpp-large
+  description: |
+    RF-DETR Large object detection model (DINOv2-small backbone, 704px input, 4 decoder layers), served
+    via the native rfdetr.cpp backend. Highest-accuracy detection variant — best for offline workflows
+    and high-resolution inputs where CPU latency is secondary to recall. F16 quantization is the
+    recommended default: identical accuracy to F32, half the size. Drop-in for the /v1/detection endpoint.
+  license: apache-2.0
+  icon: https://avatars.githubusercontent.com/u/53104118?s=200&v=4
+  tags:
+    - object-detection
+    - rfdetr
+    - native
+    - cpp
+    - cpu
+  overrides:
+    backend: rfdetr-cpp
+    known_usecases:
+      - detection
+    parameters:
+      model: rfdetr-large-f16.gguf
+  files:
+    - filename: rfdetr-large-f16.gguf
+      sha256: 819f1abc72f746a686722eacc9c4db992b7ca853b26e390ab0a66ca6ea70060a
+      uri: huggingface://mudler/rfdetr-cpp-large/rfdetr-large-f16.gguf
+- name: rfdetr-cpp-seg-nano
+  url: github:mudler/LocalAI/gallery/virtual.yaml@master
+  urls:
+    - https://github.com/mudler/rf-detr.cpp
+    - https://huggingface.co/mudler/rfdetr-cpp-seg-nano
+  description: |
+    RF-DETR Seg-Nano instance segmentation model (DINOv2-small backbone, 312px input, 4 decoder layers,
+    100 queries), served via the native rfdetr.cpp backend. Smallest segmentation variant — fastest CPU
+    latency, ideal for edge deployment. Returns both bounding boxes and per-instance masks via the
+    /v1/detection endpoint. F16 quantization is the recommended default: identical accuracy to F32,
+    half the size.
+  license: apache-2.0
+  icon: https://avatars.githubusercontent.com/u/53104118?s=200&v=4
+  tags:
+    - object-detection
+    - image-segmentation
+    - rfdetr
+    - native
+    - cpp
+    - cpu
+  overrides:
+    backend: rfdetr-cpp
+    known_usecases:
+      - detection
+    parameters:
+      model: rfdetr-seg-nano-f16.gguf
+  files:
+    - filename: rfdetr-seg-nano-f16.gguf
+      sha256: 9f9a0ab547743992b6c664d41ee1a6afcd66b21b04609a68f76c0eec88648c2b
+      uri: huggingface://mudler/rfdetr-cpp-seg-nano/rfdetr-seg-nano-f16.gguf
+- name: rfdetr-cpp-seg-small
+  url: github:mudler/LocalAI/gallery/virtual.yaml@master
+  urls:
+    - https://github.com/mudler/rf-detr.cpp
+    - https://huggingface.co/mudler/rfdetr-cpp-seg-small
+  description: |
+    RF-DETR Seg-Small instance segmentation model (DINOv2-small backbone, 384px input, 4 decoder layers,
+    100 queries), served via the native rfdetr.cpp backend. Step up from Seg-Nano in mask quality while
+    staying CPU-friendly. Returns both bounding boxes and per-instance masks via the /v1/detection
+    endpoint. F16 quantization is the recommended default: identical accuracy to F32, half the size.
+  license: apache-2.0
+  icon: https://avatars.githubusercontent.com/u/53104118?s=200&v=4
+  tags:
+    - object-detection
+    - image-segmentation
+    - rfdetr
+    - native
+    - cpp
+    - cpu
+  overrides:
+    backend: rfdetr-cpp
+    known_usecases:
+      - detection
+    parameters:
+      model: rfdetr-seg-small-f16.gguf
+  files:
+    - filename: rfdetr-seg-small-f16.gguf
+      sha256: 1b569a182aea941ec645a1923c1e8ad9db05e006db36136da9f148d1ec066670
+      uri: huggingface://mudler/rfdetr-cpp-seg-small/rfdetr-seg-small-f16.gguf
+- name: rfdetr-cpp-seg-medium
+  url: github:mudler/LocalAI/gallery/virtual.yaml@master
+  urls:
+    - https://github.com/mudler/rf-detr.cpp
+    - https://huggingface.co/mudler/rfdetr-cpp-seg-medium
+  description: |
+    RF-DETR Seg-Medium instance segmentation model (DINOv2-small backbone, 432px input, 5 decoder layers,
+    200 queries), served via the native rfdetr.cpp backend. Balanced segmentation quality vs. CPU latency
+    — recommended for everyday segmentation workloads. Returns both bounding boxes and per-instance masks
+    via the /v1/detection endpoint. F16 quantization is the recommended default.
+  license: apache-2.0
+  icon: https://avatars.githubusercontent.com/u/53104118?s=200&v=4
+  tags:
+    - object-detection
+    - image-segmentation
+    - rfdetr
+    - native
+    - cpp
+    - cpu
+  overrides:
+    backend: rfdetr-cpp
+    known_usecases:
+      - detection
+    parameters:
+      model: rfdetr-seg-medium-f16.gguf
+  files:
+    - filename: rfdetr-seg-medium-f16.gguf
+      sha256: 885d85ed6935495fc50ff464e06b6ea3bd8e8386865852d68a8be0f649d65afe
+      uri: huggingface://mudler/rfdetr-cpp-seg-medium/rfdetr-seg-medium-f16.gguf
+- name: rfdetr-cpp-seg-large
+  url: github:mudler/LocalAI/gallery/virtual.yaml@master
+  urls:
+    - https://github.com/mudler/rf-detr.cpp
+    - https://huggingface.co/mudler/rfdetr-cpp-seg-large
+  description: |
+    RF-DETR Seg-Large instance segmentation model (DINOv2-small backbone, 504px input, 5 decoder layers,
+    200 queries), served via the native rfdetr.cpp backend. Higher-resolution input than Seg-Medium for
+    sharper mask boundaries. Returns both bounding boxes and per-instance masks via the /v1/detection
+    endpoint. F16 quantization is the recommended default: identical accuracy to F32, half the size.
+  license: apache-2.0
+  icon: https://avatars.githubusercontent.com/u/53104118?s=200&v=4
+  tags:
+    - object-detection
+    - image-segmentation
+    - rfdetr
+    - native
+    - cpp
+    - cpu
+  overrides:
+    backend: rfdetr-cpp
+    known_usecases:
+      - detection
+    parameters:
+      model: rfdetr-seg-large-f16.gguf
+  files:
+    - filename: rfdetr-seg-large-f16.gguf
+      sha256: 90423066d0791b4ae249f3986cce1f095a1e4090bf46800bf7f9e371ea80d559
+      uri: huggingface://mudler/rfdetr-cpp-seg-large/rfdetr-seg-large-f16.gguf
+- name: rfdetr-cpp-seg-xlarge
+  url: github:mudler/LocalAI/gallery/virtual.yaml@master
+  urls:
+    - https://github.com/mudler/rf-detr.cpp
+    - https://huggingface.co/mudler/rfdetr-cpp-seg-xlarge
+  description: |
+    RF-DETR Seg-XLarge instance segmentation model (DINOv2-small backbone, 624px input, 6 decoder layers,
+    300 queries), served via the native rfdetr.cpp backend. High-capacity segmentation variant with more
+    queries and deeper decoder — best for dense scenes with many instances. Returns both bounding boxes
+    and per-instance masks via the /v1/detection endpoint. F16 quantization is the recommended default.
+  license: apache-2.0
+  icon: https://avatars.githubusercontent.com/u/53104118?s=200&v=4
+  tags:
+    - object-detection
+    - image-segmentation
+    - rfdetr
+    - native
+    - cpp
+    - cpu
+  overrides:
+    backend: rfdetr-cpp
+    known_usecases:
+      - detection
+    parameters:
+      model: rfdetr-seg-xlarge-f16.gguf
+  files:
+    - filename: rfdetr-seg-xlarge-f16.gguf
+      sha256: 0b82de4a6e65a40bc930979a1a4281cb24de35203d30eeefd797c858101a7bec
+      uri: huggingface://mudler/rfdetr-cpp-seg-xlarge/rfdetr-seg-xlarge-f16.gguf
+- name: rfdetr-cpp-seg-2xlarge
+  url: github:mudler/LocalAI/gallery/virtual.yaml@master
+  urls:
+    - https://github.com/mudler/rf-detr.cpp
+    - https://huggingface.co/mudler/rfdetr-cpp-seg-2xlarge
+  description: |
+    RF-DETR Seg-2XLarge instance segmentation model (DINOv2-small backbone, 768px input, 6 decoder layers,
+    300 queries), served via the native rfdetr.cpp backend. Highest-accuracy segmentation variant — best
+    for offline workflows and high-resolution inputs where CPU latency is secondary to mask quality.
+    Returns both bounding boxes and per-instance masks via the /v1/detection endpoint. F16 quantization
+    is the recommended default: identical accuracy to F32, half the size.
+  license: apache-2.0
+  icon: https://avatars.githubusercontent.com/u/53104118?s=200&v=4
+  tags:
+    - object-detection
+    - image-segmentation
+    - rfdetr
+    - native
+    - cpp
+    - cpu
+  overrides:
+    backend: rfdetr-cpp
+    known_usecases:
+      - detection
+    parameters:
+      model: rfdetr-seg-2xlarge-f16.gguf
+  files:
+    - filename: rfdetr-seg-2xlarge-f16.gguf
+      sha256: 7f957997db23e844194ea8266a95b4adc3deb6d0b71c0924922b20fbdeafa299
+      uri: huggingface://mudler/rfdetr-cpp-seg-2xlarge/rfdetr-seg-2xlarge-f16.gguf
 - name: edgetam
   url: github:mudler/LocalAI/gallery/virtual.yaml@master
   urls:

gallery/qwen3.yaml

@@ -11,36 +11,12 @@ config_file: |
         - <dummy32000>
         - </s>
         - <|endoftext|>
+    # Delegate templating to llama.cpp's jinja runtime so the C++ autoparser
+    # can classify <think>…</think> blocks into reasoning_content natively
+    # (issue #9985). Without use_jinja the autoparser falls back to a
+    # "pure content" PEG parser that leaks reasoning tags into content.
+    options:
+        - use_jinja:true
     template:
-        chat: |
-            {{.Input -}}
-            <|im_start|>assistant
-        chat_message: |
-            <|im_start|>{{if eq .RoleName "tool" }}user{{else}}{{ .RoleName }}{{end}}
-            {{ if eq .RoleName "tool" -}}
-            <tool_response>
-            {{ end -}}
-            {{ if .Content -}}
-            {{.Content }}
-            {{ end -}}
-            {{ if eq .RoleName "tool" -}}
-            </tool_response>
-            {{ end -}}
-            {{ if .FunctionCall -}}
-            <tool_call>
-            {{toJson .FunctionCall}}
-            </tool_call>
-            {{ end -}}<|im_end|>
-        completion: |
-            {{.Input}}
-        function: |
-            <|im_start|>system
-            You are a function calling AI model. You are provided with functions to execute. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools:
-            {{range .Functions}}
-            {"type": "function", "function": {"name": "{{.Name}}", "description": "{{.Description}}", "parameters": {{toJson .Parameters}} }}
-            {{end}}
-            For each function call return a json object with function name and arguments: {"name": <function-name>, "arguments": <json-arguments-object>}
-            <|im_end|>
-            {{.Input -}}
-            <|im_start|>assistant
+        use_tokenizer_template: true
 name: qwen3

go.mod

@@ -10,7 +10,7 @@ require (
 	github.com/anthropics/anthropic-sdk-go v1.42.0
 	github.com/aws/aws-sdk-go-v2 v1.41.7
 	github.com/aws/aws-sdk-go-v2/config v1.32.16
-	github.com/aws/aws-sdk-go-v2/credentials v1.19.15
+	github.com/aws/aws-sdk-go-v2/credentials v1.19.17
 	github.com/aws/aws-sdk-go-v2/service/s3 v1.99.1
 	github.com/charmbracelet/glamour v1.0.0
 	github.com/containerd/containerd v1.7.31
@@ -41,7 +41,7 @@ require (
 	github.com/mudler/go-processmanager v0.1.1
 	github.com/mudler/memory v0.0.0-20260406210934-424c1ecf2cf8
 	github.com/mudler/xlog v0.0.6
-	github.com/nats-io/nats.go v1.50.0
+	github.com/nats-io/nats.go v1.52.0
 	github.com/ollama/ollama v0.20.4
 	github.com/onsi/ginkgo/v2 v2.29.0
 	github.com/onsi/gomega v1.40.0
@@ -81,18 +81,18 @@ require (
 	filippo.io/keygen v0.0.0-20260114151900-8e2790ea4c5b // indirect
 	github.com/asaskevich/govalidator v0.0.0-20230301143203-a9d515a09cc2 // indirect
 	github.com/aws/aws-sdk-go-v2/aws/protocol/eventstream v1.7.9 // indirect
-	github.com/aws/aws-sdk-go-v2/feature/ec2/imds v1.18.22 // indirect
-	github.com/aws/aws-sdk-go-v2/internal/configsources v1.4.22 // indirect
-	github.com/aws/aws-sdk-go-v2/internal/endpoints/v2 v2.7.22 // indirect
-	github.com/aws/aws-sdk-go-v2/internal/v4a v1.4.23 // indirect
-	github.com/aws/aws-sdk-go-v2/service/internal/accept-encoding v1.13.8 // indirect
+	github.com/aws/aws-sdk-go-v2/feature/ec2/imds v1.18.23 // indirect
+	github.com/aws/aws-sdk-go-v2/internal/configsources v1.4.23 // indirect
+	github.com/aws/aws-sdk-go-v2/internal/endpoints/v2 v2.7.23 // indirect
+	github.com/aws/aws-sdk-go-v2/internal/v4a v1.4.24 // indirect
+	github.com/aws/aws-sdk-go-v2/service/internal/accept-encoding v1.13.9 // indirect
 	github.com/aws/aws-sdk-go-v2/service/internal/checksum v1.9.14 // indirect
-	github.com/aws/aws-sdk-go-v2/service/internal/presigned-url v1.13.22 // indirect
+	github.com/aws/aws-sdk-go-v2/service/internal/presigned-url v1.13.23 // indirect
 	github.com/aws/aws-sdk-go-v2/service/internal/s3shared v1.19.22 // indirect
-	github.com/aws/aws-sdk-go-v2/service/signin v1.0.10 // indirect
-	github.com/aws/aws-sdk-go-v2/service/sso v1.30.16 // indirect
-	github.com/aws/aws-sdk-go-v2/service/ssooidc v1.35.20 // indirect
-	github.com/aws/aws-sdk-go-v2/service/sts v1.42.0 // indirect
+	github.com/aws/aws-sdk-go-v2/service/signin v1.0.11 // indirect
+	github.com/aws/aws-sdk-go-v2/service/sso v1.30.17 // indirect
+	github.com/aws/aws-sdk-go-v2/service/ssooidc v1.36.0 // indirect
+	github.com/aws/aws-sdk-go-v2/service/sts v1.42.1 // indirect
 	github.com/aws/smithy-go v1.25.1 // indirect
 	github.com/bahlo/generic-list-go v0.2.0 // indirect
 	github.com/blang/semver v3.5.1+incompatible // indirect
@@ -498,7 +498,7 @@ require (
 	golang.org/x/mod v0.35.0 // indirect
 	golang.org/x/sync v0.20.0
 	golang.org/x/sys v0.44.0 // indirect
-	golang.org/x/term v0.43.0 // indirect
+	golang.org/x/term v0.43.0
 	golang.org/x/text v0.37.0 // indirect
 	golang.org/x/tools v0.44.0 // indirect
 	golang.zx2c4.com/wintun v0.0.0-20230126152724-0fa3db229ce2 // indirect

go.sum

@@ -150,36 +150,36 @@ github.com/aws/aws-sdk-go-v2/aws/protocol/eventstream v1.7.9 h1:adBsCIIpLbLmYnkQ
 github.com/aws/aws-sdk-go-v2/aws/protocol/eventstream v1.7.9/go.mod h1:uOYhgfgThm/ZyAuJGNQ5YgNyOlYfqnGpTHXvk3cpykg=
 github.com/aws/aws-sdk-go-v2/config v1.32.16 h1:Q0iQ7quUgJP0F/SCRTieScnaMdXr9h/2+wze1u3cNeM=
 github.com/aws/aws-sdk-go-v2/config v1.32.16/go.mod h1:duCCnJEFqpt2RC6no1iK6q+8HpwOAkiUua0pY507dQc=
-github.com/aws/aws-sdk-go-v2/credentials v1.19.15 h1:fyvgWTszojq8hEnMi8PPBTvZdTtEVmAVyo+NFLHBhH4=
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