chore(model-gallery): ⬆️ update checksum (#10816)

⬆️ Checksum updates in gallery/index.yaml

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>

.agents/adding-backends.md

@@ -251,6 +251,7 @@ After adding a new backend, verify:
 - [ ] No YAML syntax errors (check with linter)
 - [ ] No Makefile syntax errors (check with linter)
 - [ ] Follows the same pattern as similar backends (e.g., if it's a transcription backend, follow `faster-whisper` pattern)
+- [ ] **`Load` validates its input and refuses models it can't serve.** When a model config has no explicit `backend:`, the model loader greedily probes *every* installed backend with the model's name and binds to the first `Load` that succeeds — an accept-anything `Load` will capture arbitrary LLMs (issue #9287). Backends that load a real artefact get this for free (the load fails); backends with no artefact must gate on the name: `opus` accepts only its own name (or none), `local-store` requires the `store.NamespacePrefix` namespace marker sent by `core/backend/stores.go`.
 - [ ] Documented: added to the category list in `docs/content/features/backends.md` (and any new endpoint/realtime capability documented under `docs/content/`)
 - [ ] If it is an in-house native C/C++/GGML engine, added to the maintained-engines table in the top-level `README.md`
 

.githooks/pre-commit

@@ -7,8 +7,11 @@
 # 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).
+#   - realtime state machines / specs -> make test-realtime-conformance
+#       (respcoord/**, turncoord/**, or formal-verification/** -- a pure .fizz
+#        spec edit must still re-verify the design, detected separately from Go)
+# A commit touching none of these is skipped entirely (other docs/YAML can't
+# change lint findings, Go coverage, the UI, or the realtime conformance gate).
 #
 # To bypass for a single commit (e.g. a WIP checkpoint): git commit --no-verify
 set -eu
@@ -20,11 +23,13 @@ staged="$(git diff --cached --name-only --diff-filter=ACMRD)"
 
 go_changed=0
 ui_changed=0
+rt_changed=0
 if echo "$staged" | grep -qE '\.go$'; then go_changed=1; fi
 if echo "$staged" | grep -qE '^core/http/react-ui/'; then ui_changed=1; fi
+if echo "$staged" | grep -qE '^(core/http/endpoints/openai/(coordinator|respcoord|turncoord|conncoord|compactcoord|ttscoord)/|formal-verification/)'; then rt_changed=1; fi
 
-if [ "$go_changed" -eq 0 ] && [ "$ui_changed" -eq 0 ]; then
-	echo "pre-commit: no Go or React UI changes staged — skipping."
+if [ "$go_changed" -eq 0 ] && [ "$ui_changed" -eq 0 ] && [ "$rt_changed" -eq 0 ]; then
+	echo "pre-commit: no Go, React UI, or realtime-spec changes staged — skipping."
 	exit 0
 fi
 
@@ -57,4 +62,11 @@ if [ "$ui_changed" -eq 1 ]; then
 	make test-ui-coverage-check
 fi
 
+if [ "$rt_changed" -eq 1 ]; then
+	echo "pre-commit ▶ realtime state-machine conformance (make test-realtime-conformance) —"
+	echo "             Go transition/rapid tests under -race + FizzBee model check of the"
+	echo "             authoritative specs. Fail-closed: needs FizzBee (make install-fizzbee)."
+	make test-realtime-conformance
+fi
+
 echo "pre-commit ✓ all relevant checks passed"

.github/backend-matrix.yml

@@ -478,6 +478,19 @@ include:
     dockerfile: "./backend/Dockerfile.python"
     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-longcat-video'
+    runs-on: 'ubuntu-latest'
+    base-image: "ubuntu:24.04"
+    skip-drivers: 'false'
+    backend: "longcat-video"
+    dockerfile: "./backend/Dockerfile.python"
+    context: "./"
+    ubuntu-version: '2404'
   - build-type: 'cublas'
     cuda-major-version: "12"
     cuda-minor-version: "8"
@@ -790,6 +803,19 @@ 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-moss-transcribe-cpp'
+    runs-on: 'ubuntu-latest'
+    base-image: "ubuntu:24.04"
+    skip-drivers: 'false'
+    backend: "moss-transcribe-cpp"
+    dockerfile: "./backend/Dockerfile.golang"
+    context: "./"
+    ubuntu-version: '2404'
   - build-type: 'cublas'
     cuda-major-version: "12"
     cuda-minor-version: "8"
@@ -1136,6 +1162,19 @@ include:
     dockerfile: "./backend/Dockerfile.python"
     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-longcat-video'
+    runs-on: 'ubuntu-latest'
+    base-image: "ubuntu:24.04"
+    skip-drivers: 'false'
+    backend: "longcat-video"
+    dockerfile: "./backend/Dockerfile.python"
+    context: "./"
+    ubuntu-version: '2404'
   - build-type: 'cublas'
     cuda-major-version: "13"
     cuda-minor-version: "0"
@@ -1344,6 +1383,19 @@ include:
     backend: "vllm-omni"
     dockerfile: "./backend/Dockerfile.python"
     context: "./"
+  - build-type: 'l4t'
+    cuda-major-version: "13"
+    cuda-minor-version: "0"
+    platforms: 'linux/arm64'
+    tag-latest: 'auto'
+    tag-suffix: '-nvidia-l4t-cuda-13-arm64-longcat-video'
+    runs-on: 'ubuntu-24.04-arm'
+    base-image: "ubuntu:24.04"
+    skip-drivers: 'false'
+    ubuntu-version: '2404'
+    backend: "longcat-video"
+    dockerfile: "./backend/Dockerfile.python"
+    context: "./"
   - build-type: 'l4t'
     cuda-major-version: "13"
     cuda-minor-version: "0"
@@ -1721,6 +1773,19 @@ 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-moss-transcribe-cpp'
+    runs-on: 'ubuntu-latest'
+    base-image: "ubuntu:24.04"
+    skip-drivers: 'false'
+    backend: "moss-transcribe-cpp"
+    dockerfile: "./backend/Dockerfile.golang"
+    context: "./"
+    ubuntu-version: '2404'
   - build-type: 'cublas'
     cuda-major-version: "13"
     cuda-minor-version: "0"
@@ -1760,6 +1825,19 @@ include:
     backend: "parakeet-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-moss-transcribe-cpp'
+    base-image: "ubuntu:24.04"
+    ubuntu-version: '2404'
+    runs-on: 'ubuntu-24.04-arm'
+    backend: "moss-transcribe-cpp"
+    dockerfile: "./backend/Dockerfile.golang"
+    context: "./"
   - build-type: 'cublas'
     cuda-major-version: "13"
     cuda-minor-version: "0"
@@ -3597,6 +3675,115 @@ include:
     dockerfile: "./backend/Dockerfile.golang"
     context: "./"
     ubuntu-version: '2404'
+  # moss-transcribe-cpp
+  - build-type: ''
+    cuda-major-version: ""
+    cuda-minor-version: ""
+    platforms: 'linux/amd64'
+    platform-tag: 'amd64'
+    tag-latest: 'auto'
+    tag-suffix: '-cpu-moss-transcribe-cpp'
+    runs-on: 'ubuntu-latest'
+    base-image: "ubuntu:24.04"
+    skip-drivers: 'false'
+    backend: "moss-transcribe-cpp"
+    dockerfile: "./backend/Dockerfile.golang"
+    context: "./"
+    ubuntu-version: '2404'
+  - build-type: ''
+    cuda-major-version: ""
+    cuda-minor-version: ""
+    platforms: 'linux/arm64'
+    platform-tag: 'arm64'
+    tag-latest: 'auto'
+    tag-suffix: '-cpu-moss-transcribe-cpp'
+    runs-on: 'ubuntu-24.04-arm'
+    base-image: "ubuntu:24.04"
+    skip-drivers: 'false'
+    backend: "moss-transcribe-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-moss-transcribe-cpp'
+    runs-on: 'ubuntu-latest'
+    base-image: "intel/oneapi-basekit:2025.3.0-0-devel-ubuntu24.04"
+    skip-drivers: 'false'
+    backend: "moss-transcribe-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-moss-transcribe-cpp'
+    runs-on: 'ubuntu-latest'
+    base-image: "intel/oneapi-basekit:2025.3.0-0-devel-ubuntu24.04"
+    skip-drivers: 'false'
+    backend: "moss-transcribe-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-moss-transcribe-cpp'
+    runs-on: 'ubuntu-latest'
+    base-image: "ubuntu:24.04"
+    skip-drivers: 'false'
+    backend: "moss-transcribe-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-moss-transcribe-cpp'
+    runs-on: 'ubuntu-24.04-arm'
+    base-image: "ubuntu:24.04"
+    skip-drivers: 'false'
+    backend: "moss-transcribe-cpp"
+    dockerfile: "./backend/Dockerfile.golang"
+    context: "./"
+    ubuntu-version: '2404'
+  - 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-moss-transcribe-cpp'
+    base-image: "nvcr.io/nvidia/l4t-jetpack:r36.4.0"
+    runs-on: 'ubuntu-24.04-arm'
+    backend: "moss-transcribe-cpp"
+    dockerfile: "./backend/Dockerfile.golang"
+    context: "./"
+    ubuntu-version: '2204'
+  - build-type: 'hipblas'
+    cuda-major-version: ""
+    cuda-minor-version: ""
+    platforms: 'linux/amd64'
+    tag-latest: 'auto'
+    tag-suffix: '-gpu-rocm-hipblas-moss-transcribe-cpp'
+    base-image: "rocm/dev-ubuntu-24.04:7.2.1"
+    runs-on: 'ubuntu-latest'
+    skip-drivers: 'false'
+    backend: "moss-transcribe-cpp"
+    dockerfile: "./backend/Dockerfile.golang"
+    context: "./"
+    ubuntu-version: '2404'
   # ced
   - build-type: 'cublas'
     cuda-major-version: "12"
@@ -3745,6 +3932,302 @@ include:
     dockerfile: "./backend/Dockerfile.golang"
     context: "./"
     ubuntu-version: '2404'
+  # voice-detect
+  - build-type: 'cublas'
+    cuda-major-version: "12"
+    cuda-minor-version: "8"
+    platforms: 'linux/amd64'
+    tag-latest: 'auto'
+    tag-suffix: '-gpu-nvidia-cuda-12-voice-detect'
+    runs-on: 'ubuntu-latest'
+    base-image: "ubuntu:24.04"
+    skip-drivers: 'false'
+    backend: "voice-detect"
+    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-voice-detect'
+    runs-on: 'ubuntu-latest'
+    base-image: "ubuntu:24.04"
+    skip-drivers: 'false'
+    backend: "voice-detect"
+    dockerfile: "./backend/Dockerfile.golang"
+    context: "./"
+    ubuntu-version: '2404'
+  - 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-voice-detect'
+    base-image: "ubuntu:24.04"
+    ubuntu-version: '2404'
+    runs-on: 'ubuntu-24.04-arm'
+    backend: "voice-detect"
+    dockerfile: "./backend/Dockerfile.golang"
+    context: "./"
+  - build-type: ''
+    cuda-major-version: ""
+    cuda-minor-version: ""
+    platforms: 'linux/amd64'
+    platform-tag: 'amd64'
+    tag-latest: 'auto'
+    tag-suffix: '-cpu-voice-detect'
+    runs-on: 'ubuntu-latest'
+    base-image: "ubuntu:24.04"
+    skip-drivers: 'false'
+    backend: "voice-detect"
+    dockerfile: "./backend/Dockerfile.golang"
+    context: "./"
+    ubuntu-version: '2404'
+  - build-type: ''
+    cuda-major-version: ""
+    cuda-minor-version: ""
+    platforms: 'linux/arm64'
+    platform-tag: 'arm64'
+    tag-latest: 'auto'
+    tag-suffix: '-cpu-voice-detect'
+    runs-on: 'ubuntu-24.04-arm'
+    base-image: "ubuntu:24.04"
+    skip-drivers: 'false'
+    backend: "voice-detect"
+    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-voice-detect'
+    runs-on: 'ubuntu-latest'
+    base-image: "intel/oneapi-basekit:2025.3.0-0-devel-ubuntu24.04"
+    skip-drivers: 'false'
+    backend: "voice-detect"
+    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-voice-detect'
+    runs-on: 'ubuntu-latest'
+    base-image: "intel/oneapi-basekit:2025.3.0-0-devel-ubuntu24.04"
+    skip-drivers: 'false'
+    backend: "voice-detect"
+    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-voice-detect'
+    runs-on: 'ubuntu-latest'
+    base-image: "ubuntu:24.04"
+    skip-drivers: 'false'
+    backend: "voice-detect"
+    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-voice-detect'
+    runs-on: 'ubuntu-24.04-arm'
+    base-image: "ubuntu:24.04"
+    skip-drivers: 'false'
+    backend: "voice-detect"
+    dockerfile: "./backend/Dockerfile.golang"
+    context: "./"
+    ubuntu-version: '2404'
+  - 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-voice-detect'
+    base-image: "nvcr.io/nvidia/l4t-jetpack:r36.4.0"
+    runs-on: 'ubuntu-24.04-arm'
+    backend: "voice-detect"
+    dockerfile: "./backend/Dockerfile.golang"
+    context: "./"
+    ubuntu-version: '2204'
+  - build-type: 'hipblas'
+    cuda-major-version: ""
+    cuda-minor-version: ""
+    platforms: 'linux/amd64'
+    tag-latest: 'auto'
+    tag-suffix: '-gpu-rocm-hipblas-voice-detect'
+    base-image: "rocm/dev-ubuntu-24.04:7.2.1"
+    runs-on: 'ubuntu-latest'
+    skip-drivers: 'false'
+    backend: "voice-detect"
+    dockerfile: "./backend/Dockerfile.golang"
+    context: "./"
+    ubuntu-version: '2404'
+  # face-detect
+  - build-type: 'cublas'
+    cuda-major-version: "12"
+    cuda-minor-version: "8"
+    platforms: 'linux/amd64'
+    tag-latest: 'auto'
+    tag-suffix: '-gpu-nvidia-cuda-12-face-detect'
+    runs-on: 'ubuntu-latest'
+    base-image: "ubuntu:24.04"
+    skip-drivers: 'false'
+    backend: "face-detect"
+    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-face-detect'
+    runs-on: 'ubuntu-latest'
+    base-image: "ubuntu:24.04"
+    skip-drivers: 'false'
+    backend: "face-detect"
+    dockerfile: "./backend/Dockerfile.golang"
+    context: "./"
+    ubuntu-version: '2404'
+  - 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-face-detect'
+    base-image: "ubuntu:24.04"
+    ubuntu-version: '2404'
+    runs-on: 'ubuntu-24.04-arm'
+    backend: "face-detect"
+    dockerfile: "./backend/Dockerfile.golang"
+    context: "./"
+  - build-type: ''
+    cuda-major-version: ""
+    cuda-minor-version: ""
+    platforms: 'linux/amd64'
+    platform-tag: 'amd64'
+    tag-latest: 'auto'
+    tag-suffix: '-cpu-face-detect'
+    runs-on: 'ubuntu-latest'
+    base-image: "ubuntu:24.04"
+    skip-drivers: 'false'
+    backend: "face-detect"
+    dockerfile: "./backend/Dockerfile.golang"
+    context: "./"
+    ubuntu-version: '2404'
+  - build-type: ''
+    cuda-major-version: ""
+    cuda-minor-version: ""
+    platforms: 'linux/arm64'
+    platform-tag: 'arm64'
+    tag-latest: 'auto'
+    tag-suffix: '-cpu-face-detect'
+    runs-on: 'ubuntu-24.04-arm'
+    base-image: "ubuntu:24.04"
+    skip-drivers: 'false'
+    backend: "face-detect"
+    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-face-detect'
+    runs-on: 'ubuntu-latest'
+    base-image: "intel/oneapi-basekit:2025.3.0-0-devel-ubuntu24.04"
+    skip-drivers: 'false'
+    backend: "face-detect"
+    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-face-detect'
+    runs-on: 'ubuntu-latest'
+    base-image: "intel/oneapi-basekit:2025.3.0-0-devel-ubuntu24.04"
+    skip-drivers: 'false'
+    backend: "face-detect"
+    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-face-detect'
+    runs-on: 'ubuntu-latest'
+    base-image: "ubuntu:24.04"
+    skip-drivers: 'false'
+    backend: "face-detect"
+    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-face-detect'
+    runs-on: 'ubuntu-24.04-arm'
+    base-image: "ubuntu:24.04"
+    skip-drivers: 'false'
+    backend: "face-detect"
+    dockerfile: "./backend/Dockerfile.golang"
+    context: "./"
+    ubuntu-version: '2404'
+  - 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-face-detect'
+    base-image: "nvcr.io/nvidia/l4t-jetpack:r36.4.0"
+    runs-on: 'ubuntu-24.04-arm'
+    backend: "face-detect"
+    dockerfile: "./backend/Dockerfile.golang"
+    context: "./"
+    ubuntu-version: '2204'
+  - build-type: 'hipblas'
+    cuda-major-version: ""
+    cuda-minor-version: ""
+    platforms: 'linux/amd64'
+    tag-latest: 'auto'
+    tag-suffix: '-gpu-rocm-hipblas-face-detect'
+    base-image: "rocm/dev-ubuntu-24.04:7.2.1"
+    runs-on: 'ubuntu-latest'
+    skip-drivers: 'false'
+    backend: "face-detect"
+    dockerfile: "./backend/Dockerfile.golang"
+    context: "./"
+    ubuntu-version: '2404'
   # acestep-cpp
   - build-type: ''
     cuda-major-version: ""
@@ -4924,10 +5407,22 @@ includeDarwin:
     tag-suffix: "-metal-darwin-arm64-parakeet-cpp"
     build-type: "metal"
     lang: "go"
+  - backend: "moss-transcribe-cpp"
+    tag-suffix: "-metal-darwin-arm64-moss-transcribe-cpp"
+    build-type: "metal"
+    lang: "go"
   - backend: "ced"
     tag-suffix: "-metal-darwin-arm64-ced"
     build-type: "metal"
     lang: "go"
+  - backend: "voice-detect"
+    tag-suffix: "-metal-darwin-arm64-voice-detect"
+    build-type: "metal"
+    lang: "go"
+  - backend: "face-detect"
+    tag-suffix: "-metal-darwin-arm64-face-detect"
+    build-type: "metal"
+    lang: "go"
   - backend: "acestep-cpp"
     tag-suffix: "-metal-darwin-arm64-acestep-cpp"
     build-type: "metal"
@@ -4991,9 +5486,6 @@ includeDarwin:
   - backend: "qwen-tts"
     tag-suffix: "-metal-darwin-arm64-qwen-tts"
     build-type: "mps"
-  - backend: "fish-speech"
-    tag-suffix: "-metal-darwin-arm64-fish-speech"
-    build-type: "mps"
   - backend: "voxcpm"
     tag-suffix: "-metal-darwin-arm64-voxcpm"
     build-type: "mps"

.github/workflows/backend.yml

@@ -32,16 +32,30 @@ jobs:
     if: github.repository == 'mudler/LocalAI'
     runs-on: ubuntu-latest
     outputs:
-      matrix-singlearch: ${{ steps.set-matrix.outputs['matrix-singlearch'] }}
       matrix-multiarch: ${{ steps.set-matrix.outputs['matrix-multiarch'] }}
       matrix-darwin: ${{ steps.set-matrix.outputs['matrix-darwin'] }}
       merge-matrix-multiarch: ${{ steps.set-matrix.outputs['merge-matrix-multiarch'] }}
-      merge-matrix-singlearch: ${{ steps.set-matrix.outputs['merge-matrix-singlearch'] }}
-      has-backends-singlearch: ${{ steps.set-matrix.outputs['has-backends-singlearch'] }}
       has-backends-multiarch: ${{ steps.set-matrix.outputs['has-backends-multiarch'] }}
       has-backends-darwin: ${{ steps.set-matrix.outputs['has-backends-darwin'] }}
       has-merges-multiarch: ${{ steps.set-matrix.outputs['has-merges-multiarch'] }}
-      has-merges-singlearch: ${{ steps.set-matrix.outputs['has-merges-singlearch'] }}
+      # Single-arch backends are sharded across SINGLEARCH_SHARDS matrix jobs to
+      # stay under GitHub's 256-jobs-per-matrix limit (see changed-backends.js).
+      matrix-singlearch-1: ${{ steps.set-matrix.outputs['matrix-singlearch-1'] }}
+      merge-matrix-singlearch-1: ${{ steps.set-matrix.outputs['merge-matrix-singlearch-1'] }}
+      has-backends-singlearch-1: ${{ steps.set-matrix.outputs['has-backends-singlearch-1'] }}
+      has-merges-singlearch-1: ${{ steps.set-matrix.outputs['has-merges-singlearch-1'] }}
+      matrix-singlearch-2: ${{ steps.set-matrix.outputs['matrix-singlearch-2'] }}
+      merge-matrix-singlearch-2: ${{ steps.set-matrix.outputs['merge-matrix-singlearch-2'] }}
+      has-backends-singlearch-2: ${{ steps.set-matrix.outputs['has-backends-singlearch-2'] }}
+      has-merges-singlearch-2: ${{ steps.set-matrix.outputs['has-merges-singlearch-2'] }}
+      matrix-singlearch-3: ${{ steps.set-matrix.outputs['matrix-singlearch-3'] }}
+      merge-matrix-singlearch-3: ${{ steps.set-matrix.outputs['merge-matrix-singlearch-3'] }}
+      has-backends-singlearch-3: ${{ steps.set-matrix.outputs['has-backends-singlearch-3'] }}
+      has-merges-singlearch-3: ${{ steps.set-matrix.outputs['has-merges-singlearch-3'] }}
+      matrix-singlearch-4: ${{ steps.set-matrix.outputs['matrix-singlearch-4'] }}
+      merge-matrix-singlearch-4: ${{ steps.set-matrix.outputs['merge-matrix-singlearch-4'] }}
+      has-backends-singlearch-4: ${{ steps.set-matrix.outputs['has-backends-singlearch-4'] }}
+      has-merges-singlearch-4: ${{ steps.set-matrix.outputs['has-merges-singlearch-4'] }}
     steps:
       - name: Checkout repository
         uses: actions/checkout@v7
@@ -109,9 +123,9 @@ jobs:
   # take their full ~6h cold without blocking manifest assembly for the
   # multi-arch backends whose per-arch digests would otherwise sit untagged
   # on quay long enough to be GC'd.
-  backend-jobs-singlearch:
+  backend-jobs-singlearch-1:
     needs: generate-matrix
-    if: needs.generate-matrix.outputs['has-backends-singlearch'] == 'true'
+    if: needs.generate-matrix.outputs['has-backends-singlearch-1'] == 'true'
     uses: ./.github/workflows/backend_build.yml
     with:
       tag-latest: ${{ matrix.tag-latest }}
@@ -138,7 +152,100 @@ jobs:
     strategy:
       fail-fast: false
       max-parallel: 8
-      matrix: ${{ fromJson(needs.generate-matrix.outputs['matrix-singlearch']) }}
+      matrix: ${{ fromJson(needs.generate-matrix.outputs['matrix-singlearch-1']) }}
+
+  backend-jobs-singlearch-2:
+    needs: generate-matrix
+    if: needs.generate-matrix.outputs['has-backends-singlearch-2'] == 'true'
+    uses: ./.github/workflows/backend_build.yml
+    with:
+      tag-latest: ${{ matrix.tag-latest }}
+      tag-suffix: ${{ matrix.tag-suffix }}
+      build-type: ${{ matrix.build-type }}
+      cuda-major-version: ${{ matrix.cuda-major-version }}
+      cuda-minor-version: ${{ matrix.cuda-minor-version }}
+      platforms: ${{ matrix.platforms }}
+      platform-tag: ${{ matrix.platform-tag || '' }}
+      runs-on: ${{ matrix.runs-on }}
+      builder-base-image: ${{ matrix.builder-base-image || '' }}
+      base-image: ${{ matrix.base-image }}
+      backend: ${{ matrix.backend }}
+      dockerfile: ${{ matrix.dockerfile }}
+      skip-drivers: ${{ matrix.skip-drivers }}
+      context: ${{ matrix.context }}
+      ubuntu-version: ${{ matrix.ubuntu-version }}
+      amdgpu-targets: ${{ matrix.amdgpu-targets || 'gfx908,gfx90a,gfx942,gfx950,gfx1030,gfx1100,gfx1101,gfx1102,gfx1151,gfx1200,gfx1201' }}
+    secrets:
+      dockerUsername: ${{ secrets.DOCKERHUB_USERNAME }}
+      dockerPassword: ${{ secrets.DOCKERHUB_PASSWORD }}
+      quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
+      quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
+    strategy:
+      fail-fast: false
+      max-parallel: 8
+      matrix: ${{ fromJson(needs.generate-matrix.outputs['matrix-singlearch-2']) }}
+
+  backend-jobs-singlearch-3:
+    needs: generate-matrix
+    if: needs.generate-matrix.outputs['has-backends-singlearch-3'] == 'true'
+    uses: ./.github/workflows/backend_build.yml
+    with:
+      tag-latest: ${{ matrix.tag-latest }}
+      tag-suffix: ${{ matrix.tag-suffix }}
+      build-type: ${{ matrix.build-type }}
+      cuda-major-version: ${{ matrix.cuda-major-version }}
+      cuda-minor-version: ${{ matrix.cuda-minor-version }}
+      platforms: ${{ matrix.platforms }}
+      platform-tag: ${{ matrix.platform-tag || '' }}
+      runs-on: ${{ matrix.runs-on }}
+      builder-base-image: ${{ matrix.builder-base-image || '' }}
+      base-image: ${{ matrix.base-image }}
+      backend: ${{ matrix.backend }}
+      dockerfile: ${{ matrix.dockerfile }}
+      skip-drivers: ${{ matrix.skip-drivers }}
+      context: ${{ matrix.context }}
+      ubuntu-version: ${{ matrix.ubuntu-version }}
+      amdgpu-targets: ${{ matrix.amdgpu-targets || 'gfx908,gfx90a,gfx942,gfx950,gfx1030,gfx1100,gfx1101,gfx1102,gfx1151,gfx1200,gfx1201' }}
+    secrets:
+      dockerUsername: ${{ secrets.DOCKERHUB_USERNAME }}
+      dockerPassword: ${{ secrets.DOCKERHUB_PASSWORD }}
+      quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
+      quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
+    strategy:
+      fail-fast: false
+      max-parallel: 8
+      matrix: ${{ fromJson(needs.generate-matrix.outputs['matrix-singlearch-3']) }}
+
+  backend-jobs-singlearch-4:
+    needs: generate-matrix
+    if: needs.generate-matrix.outputs['has-backends-singlearch-4'] == 'true'
+    uses: ./.github/workflows/backend_build.yml
+    with:
+      tag-latest: ${{ matrix.tag-latest }}
+      tag-suffix: ${{ matrix.tag-suffix }}
+      build-type: ${{ matrix.build-type }}
+      cuda-major-version: ${{ matrix.cuda-major-version }}
+      cuda-minor-version: ${{ matrix.cuda-minor-version }}
+      platforms: ${{ matrix.platforms }}
+      platform-tag: ${{ matrix.platform-tag || '' }}
+      runs-on: ${{ matrix.runs-on }}
+      builder-base-image: ${{ matrix.builder-base-image || '' }}
+      base-image: ${{ matrix.base-image }}
+      backend: ${{ matrix.backend }}
+      dockerfile: ${{ matrix.dockerfile }}
+      skip-drivers: ${{ matrix.skip-drivers }}
+      context: ${{ matrix.context }}
+      ubuntu-version: ${{ matrix.ubuntu-version }}
+      amdgpu-targets: ${{ matrix.amdgpu-targets || 'gfx908,gfx90a,gfx942,gfx950,gfx1030,gfx1100,gfx1101,gfx1102,gfx1151,gfx1200,gfx1201' }}
+    secrets:
+      dockerUsername: ${{ secrets.DOCKERHUB_USERNAME }}
+      dockerPassword: ${{ secrets.DOCKERHUB_PASSWORD }}
+      quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
+      quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
+    strategy:
+      fail-fast: false
+      max-parallel: 8
+      matrix: ${{ fromJson(needs.generate-matrix.outputs['matrix-singlearch-4']) }}
 
   # Apply tags to per-arch digests via `imagetools create`. Split into two
   # jobs that mirror the build split so each merge waits ONLY on its
@@ -174,10 +281,12 @@ jobs:
       fail-fast: false
       matrix: ${{ fromJson(needs.generate-matrix.outputs['merge-matrix-multiarch']) }}
 
-  backend-merge-jobs-singlearch:
-    needs: [generate-matrix, backend-jobs-singlearch]
-    # See note on backend-merge-jobs-multiarch above for !cancelled().
-    if: ${{ !cancelled() && needs.generate-matrix.outputs['has-merges-singlearch'] == 'true' }}
+  # One merge shard per build shard: backend-merge-jobs-singlearch-<n> needs only
+  # backend-jobs-singlearch-<n>, preserving the "merge waits only on its own
+  # build" property while staying under the 256-jobs-per-matrix limit.
+  backend-merge-jobs-singlearch-1:
+    needs: [generate-matrix, backend-jobs-singlearch-1]
+    if: ${{ !cancelled() && needs.generate-matrix.outputs['has-merges-singlearch-1'] == 'true' }}
     uses: ./.github/workflows/backend_merge.yml
     with:
       tag-latest: ${{ matrix.tag-latest }}
@@ -189,7 +298,55 @@ jobs:
       quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
     strategy:
       fail-fast: false
-      matrix: ${{ fromJson(needs.generate-matrix.outputs['merge-matrix-singlearch']) }}
+      matrix: ${{ fromJson(needs.generate-matrix.outputs['merge-matrix-singlearch-1']) }}
+
+  backend-merge-jobs-singlearch-2:
+    needs: [generate-matrix, backend-jobs-singlearch-2]
+    if: ${{ !cancelled() && needs.generate-matrix.outputs['has-merges-singlearch-2'] == 'true' }}
+    uses: ./.github/workflows/backend_merge.yml
+    with:
+      tag-latest: ${{ matrix.tag-latest }}
+      tag-suffix: ${{ matrix.tag-suffix }}
+    secrets:
+      dockerUsername: ${{ secrets.DOCKERHUB_USERNAME }}
+      dockerPassword: ${{ secrets.DOCKERHUB_PASSWORD }}
+      quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
+      quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
+    strategy:
+      fail-fast: false
+      matrix: ${{ fromJson(needs.generate-matrix.outputs['merge-matrix-singlearch-2']) }}
+
+  backend-merge-jobs-singlearch-3:
+    needs: [generate-matrix, backend-jobs-singlearch-3]
+    if: ${{ !cancelled() && needs.generate-matrix.outputs['has-merges-singlearch-3'] == 'true' }}
+    uses: ./.github/workflows/backend_merge.yml
+    with:
+      tag-latest: ${{ matrix.tag-latest }}
+      tag-suffix: ${{ matrix.tag-suffix }}
+    secrets:
+      dockerUsername: ${{ secrets.DOCKERHUB_USERNAME }}
+      dockerPassword: ${{ secrets.DOCKERHUB_PASSWORD }}
+      quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
+      quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
+    strategy:
+      fail-fast: false
+      matrix: ${{ fromJson(needs.generate-matrix.outputs['merge-matrix-singlearch-3']) }}
+
+  backend-merge-jobs-singlearch-4:
+    needs: [generate-matrix, backend-jobs-singlearch-4]
+    if: ${{ !cancelled() && needs.generate-matrix.outputs['has-merges-singlearch-4'] == 'true' }}
+    uses: ./.github/workflows/backend_merge.yml
+    with:
+      tag-latest: ${{ matrix.tag-latest }}
+      tag-suffix: ${{ matrix.tag-suffix }}
+    secrets:
+      dockerUsername: ${{ secrets.DOCKERHUB_USERNAME }}
+      dockerPassword: ${{ secrets.DOCKERHUB_PASSWORD }}
+      quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
+      quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
+    strategy:
+      fail-fast: false
+      matrix: ${{ fromJson(needs.generate-matrix.outputs['merge-matrix-singlearch-4']) }}
 
   backend-jobs-darwin:
     needs: generate-matrix

.github/workflows/backend_build_darwin.yml

@@ -82,7 +82,7 @@ jobs:
       # as the Linux registry cache.
       - name: Restore Homebrew cache
         id: brew-cache
-        uses: actions/cache/restore@v4
+        uses: actions/cache/restore@v6
         with:
           path: |
             ~/Library/Caches/Homebrew/downloads
@@ -142,7 +142,7 @@ jobs:
 
       - name: Save Homebrew cache
         if: github.event_name != 'pull_request' && steps.brew-cache.outputs.cache-hit != 'true'
-        uses: actions/cache/save@v4
+        uses: actions/cache/save@v6
         with:
           path: |
             ~/Library/Caches/Homebrew/downloads
@@ -178,7 +178,7 @@ jobs:
       - name: Restore ccache
         if: inputs.backend == 'llama-cpp'
         id: ccache-cache
-        uses: actions/cache/restore@v4
+        uses: actions/cache/restore@v6
         with:
           path: ~/Library/Caches/ccache
           key: ccache-llama-${{ runner.arch }}-${{ steps.llama-version.outputs.version }}-${{ github.run_id }}
@@ -211,7 +211,7 @@ jobs:
       - name: Restore Python wheel cache
         if: inputs.lang == 'python'
         id: pyenv-cache
-        uses: actions/cache/restore@v4
+        uses: actions/cache/restore@v6
         with:
           path: |
             ~/Library/Caches/pip
@@ -256,14 +256,14 @@ jobs:
 
       - name: Save ccache
         if: inputs.backend == 'llama-cpp' && github.event_name != 'pull_request'
-        uses: actions/cache/save@v4
+        uses: actions/cache/save@v6
         with:
           path: ~/Library/Caches/ccache
           key: ccache-llama-${{ runner.arch }}-${{ steps.llama-version.outputs.version }}-${{ github.run_id }}
 
       - name: Save Python wheel cache
         if: inputs.lang == 'python' && github.event_name != 'pull_request' && steps.pyenv-cache.outputs.cache-hit != 'true'
-        uses: actions/cache/save@v4
+        uses: actions/cache/save@v6
         with:
           path: |
             ~/Library/Caches/pip

.github/workflows/backend_pr.yml

@@ -11,16 +11,30 @@ jobs:
   generate-matrix:
     runs-on: ubuntu-latest
     outputs:
-      matrix-singlearch: ${{ steps.set-matrix.outputs['matrix-singlearch'] }}
       matrix-multiarch: ${{ steps.set-matrix.outputs['matrix-multiarch'] }}
       matrix-darwin: ${{ steps.set-matrix.outputs['matrix-darwin'] }}
       merge-matrix-multiarch: ${{ steps.set-matrix.outputs['merge-matrix-multiarch'] }}
-      merge-matrix-singlearch: ${{ steps.set-matrix.outputs['merge-matrix-singlearch'] }}
-      has-backends-singlearch: ${{ steps.set-matrix.outputs['has-backends-singlearch'] }}
       has-backends-multiarch: ${{ steps.set-matrix.outputs['has-backends-multiarch'] }}
       has-backends-darwin: ${{ steps.set-matrix.outputs['has-backends-darwin'] }}
       has-merges-multiarch: ${{ steps.set-matrix.outputs['has-merges-multiarch'] }}
-      has-merges-singlearch: ${{ steps.set-matrix.outputs['has-merges-singlearch'] }}
+      # Single-arch backends are sharded across SINGLEARCH_SHARDS matrix jobs to
+      # stay under GitHub's 256-jobs-per-matrix limit (see changed-backends.js).
+      matrix-singlearch-1: ${{ steps.set-matrix.outputs['matrix-singlearch-1'] }}
+      merge-matrix-singlearch-1: ${{ steps.set-matrix.outputs['merge-matrix-singlearch-1'] }}
+      has-backends-singlearch-1: ${{ steps.set-matrix.outputs['has-backends-singlearch-1'] }}
+      has-merges-singlearch-1: ${{ steps.set-matrix.outputs['has-merges-singlearch-1'] }}
+      matrix-singlearch-2: ${{ steps.set-matrix.outputs['matrix-singlearch-2'] }}
+      merge-matrix-singlearch-2: ${{ steps.set-matrix.outputs['merge-matrix-singlearch-2'] }}
+      has-backends-singlearch-2: ${{ steps.set-matrix.outputs['has-backends-singlearch-2'] }}
+      has-merges-singlearch-2: ${{ steps.set-matrix.outputs['has-merges-singlearch-2'] }}
+      matrix-singlearch-3: ${{ steps.set-matrix.outputs['matrix-singlearch-3'] }}
+      merge-matrix-singlearch-3: ${{ steps.set-matrix.outputs['merge-matrix-singlearch-3'] }}
+      has-backends-singlearch-3: ${{ steps.set-matrix.outputs['has-backends-singlearch-3'] }}
+      has-merges-singlearch-3: ${{ steps.set-matrix.outputs['has-merges-singlearch-3'] }}
+      matrix-singlearch-4: ${{ steps.set-matrix.outputs['matrix-singlearch-4'] }}
+      merge-matrix-singlearch-4: ${{ steps.set-matrix.outputs['merge-matrix-singlearch-4'] }}
+      has-backends-singlearch-4: ${{ steps.set-matrix.outputs['has-backends-singlearch-4'] }}
+      has-merges-singlearch-4: ${{ steps.set-matrix.outputs['has-merges-singlearch-4'] }}
     steps:
       - name: Checkout repository
         uses: actions/checkout@v7
@@ -71,10 +85,10 @@ jobs:
       fail-fast: true
       max-parallel: 8
       matrix: ${{ fromJson(needs.generate-matrix.outputs['matrix-multiarch']) }}
-  backend-jobs-singlearch:
+  backend-jobs-singlearch-1:
     needs: generate-matrix
+    if: needs.generate-matrix.outputs['has-backends-singlearch-1'] == 'true'
     uses: ./.github/workflows/backend_build.yml
-    if: needs.generate-matrix.outputs['has-backends-singlearch'] == 'true'
     with:
       tag-latest: ${{ matrix.tag-latest }}
       tag-suffix: ${{ matrix.tag-suffix }}
@@ -98,7 +112,94 @@ jobs:
     strategy:
       fail-fast: true
       max-parallel: 8
-      matrix: ${{ fromJson(needs.generate-matrix.outputs['matrix-singlearch']) }}
+      matrix: ${{ fromJson(needs.generate-matrix.outputs['matrix-singlearch-1']) }}
+
+  backend-jobs-singlearch-2:
+    needs: generate-matrix
+    if: needs.generate-matrix.outputs['has-backends-singlearch-2'] == 'true'
+    uses: ./.github/workflows/backend_build.yml
+    with:
+      tag-latest: ${{ matrix.tag-latest }}
+      tag-suffix: ${{ matrix.tag-suffix }}
+      build-type: ${{ matrix.build-type }}
+      cuda-major-version: ${{ matrix.cuda-major-version }}
+      cuda-minor-version: ${{ matrix.cuda-minor-version }}
+      platforms: ${{ matrix.platforms }}
+      platform-tag: ${{ matrix.platform-tag || '' }}
+      runs-on: ${{ matrix.runs-on }}
+      builder-base-image: ${{ matrix.builder-base-image || '' }}
+      base-image: ${{ matrix.base-image }}
+      backend: ${{ matrix.backend }}
+      dockerfile: ${{ matrix.dockerfile }}
+      skip-drivers: ${{ matrix.skip-drivers }}
+      context: ${{ matrix.context }}
+      ubuntu-version: ${{ matrix.ubuntu-version }}
+      amdgpu-targets: ${{ matrix.amdgpu-targets || 'gfx908,gfx90a,gfx942,gfx950,gfx1030,gfx1100,gfx1101,gfx1102,gfx1151,gfx1200,gfx1201' }}
+    secrets:
+      quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
+      quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
+    strategy:
+      fail-fast: true
+      max-parallel: 8
+      matrix: ${{ fromJson(needs.generate-matrix.outputs['matrix-singlearch-2']) }}
+
+  backend-jobs-singlearch-3:
+    needs: generate-matrix
+    if: needs.generate-matrix.outputs['has-backends-singlearch-3'] == 'true'
+    uses: ./.github/workflows/backend_build.yml
+    with:
+      tag-latest: ${{ matrix.tag-latest }}
+      tag-suffix: ${{ matrix.tag-suffix }}
+      build-type: ${{ matrix.build-type }}
+      cuda-major-version: ${{ matrix.cuda-major-version }}
+      cuda-minor-version: ${{ matrix.cuda-minor-version }}
+      platforms: ${{ matrix.platforms }}
+      platform-tag: ${{ matrix.platform-tag || '' }}
+      runs-on: ${{ matrix.runs-on }}
+      builder-base-image: ${{ matrix.builder-base-image || '' }}
+      base-image: ${{ matrix.base-image }}
+      backend: ${{ matrix.backend }}
+      dockerfile: ${{ matrix.dockerfile }}
+      skip-drivers: ${{ matrix.skip-drivers }}
+      context: ${{ matrix.context }}
+      ubuntu-version: ${{ matrix.ubuntu-version }}
+      amdgpu-targets: ${{ matrix.amdgpu-targets || 'gfx908,gfx90a,gfx942,gfx950,gfx1030,gfx1100,gfx1101,gfx1102,gfx1151,gfx1200,gfx1201' }}
+    secrets:
+      quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
+      quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
+    strategy:
+      fail-fast: true
+      max-parallel: 8
+      matrix: ${{ fromJson(needs.generate-matrix.outputs['matrix-singlearch-3']) }}
+
+  backend-jobs-singlearch-4:
+    needs: generate-matrix
+    if: needs.generate-matrix.outputs['has-backends-singlearch-4'] == 'true'
+    uses: ./.github/workflows/backend_build.yml
+    with:
+      tag-latest: ${{ matrix.tag-latest }}
+      tag-suffix: ${{ matrix.tag-suffix }}
+      build-type: ${{ matrix.build-type }}
+      cuda-major-version: ${{ matrix.cuda-major-version }}
+      cuda-minor-version: ${{ matrix.cuda-minor-version }}
+      platforms: ${{ matrix.platforms }}
+      platform-tag: ${{ matrix.platform-tag || '' }}
+      runs-on: ${{ matrix.runs-on }}
+      builder-base-image: ${{ matrix.builder-base-image || '' }}
+      base-image: ${{ matrix.base-image }}
+      backend: ${{ matrix.backend }}
+      dockerfile: ${{ matrix.dockerfile }}
+      skip-drivers: ${{ matrix.skip-drivers }}
+      context: ${{ matrix.context }}
+      ubuntu-version: ${{ matrix.ubuntu-version }}
+      amdgpu-targets: ${{ matrix.amdgpu-targets || 'gfx908,gfx90a,gfx942,gfx950,gfx1030,gfx1100,gfx1101,gfx1102,gfx1151,gfx1200,gfx1201' }}
+    secrets:
+      quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
+      quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
+    strategy:
+      fail-fast: true
+      max-parallel: 8
+      matrix: ${{ fromJson(needs.generate-matrix.outputs['matrix-singlearch-4']) }}
   backend-merge-jobs-multiarch:
     needs: [generate-matrix, backend-jobs-multiarch]
     # backend_merge.yml's push-side steps are all gated on
@@ -118,9 +219,9 @@ jobs:
       fail-fast: false
       matrix: ${{ fromJson(needs.generate-matrix.outputs['merge-matrix-multiarch']) }}
 
-  backend-merge-jobs-singlearch:
-    needs: [generate-matrix, backend-jobs-singlearch]
-    if: ${{ !cancelled() && github.event_name != 'pull_request' && needs.generate-matrix.outputs['has-merges-singlearch'] == 'true' }}
+  backend-merge-jobs-singlearch-1:
+    needs: [generate-matrix, backend-jobs-singlearch-1]
+    if: ${{ !cancelled() && github.event_name != 'pull_request' && needs.generate-matrix.outputs['has-merges-singlearch-1'] == 'true' }}
     uses: ./.github/workflows/backend_merge.yml
     with:
       tag-latest: ${{ matrix.tag-latest }}
@@ -130,7 +231,49 @@ jobs:
       quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
     strategy:
       fail-fast: false
-      matrix: ${{ fromJson(needs.generate-matrix.outputs['merge-matrix-singlearch']) }}
+      matrix: ${{ fromJson(needs.generate-matrix.outputs['merge-matrix-singlearch-1']) }}
+
+  backend-merge-jobs-singlearch-2:
+    needs: [generate-matrix, backend-jobs-singlearch-2]
+    if: ${{ !cancelled() && github.event_name != 'pull_request' && needs.generate-matrix.outputs['has-merges-singlearch-2'] == 'true' }}
+    uses: ./.github/workflows/backend_merge.yml
+    with:
+      tag-latest: ${{ matrix.tag-latest }}
+      tag-suffix: ${{ matrix.tag-suffix }}
+    secrets:
+      quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
+      quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
+    strategy:
+      fail-fast: false
+      matrix: ${{ fromJson(needs.generate-matrix.outputs['merge-matrix-singlearch-2']) }}
+
+  backend-merge-jobs-singlearch-3:
+    needs: [generate-matrix, backend-jobs-singlearch-3]
+    if: ${{ !cancelled() && github.event_name != 'pull_request' && needs.generate-matrix.outputs['has-merges-singlearch-3'] == 'true' }}
+    uses: ./.github/workflows/backend_merge.yml
+    with:
+      tag-latest: ${{ matrix.tag-latest }}
+      tag-suffix: ${{ matrix.tag-suffix }}
+    secrets:
+      quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
+      quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
+    strategy:
+      fail-fast: false
+      matrix: ${{ fromJson(needs.generate-matrix.outputs['merge-matrix-singlearch-3']) }}
+
+  backend-merge-jobs-singlearch-4:
+    needs: [generate-matrix, backend-jobs-singlearch-4]
+    if: ${{ !cancelled() && github.event_name != 'pull_request' && needs.generate-matrix.outputs['has-merges-singlearch-4'] == 'true' }}
+    uses: ./.github/workflows/backend_merge.yml
+    with:
+      tag-latest: ${{ matrix.tag-latest }}
+      tag-suffix: ${{ matrix.tag-suffix }}
+    secrets:
+      quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
+      quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
+    strategy:
+      fail-fast: false
+      matrix: ${{ fromJson(needs.generate-matrix.outputs['merge-matrix-singlearch-4']) }}
   backend-jobs-darwin:
     needs: generate-matrix
     uses: ./.github/workflows/backend_build_darwin.yml

.github/workflows/bump_deps.yaml

@@ -26,6 +26,10 @@ jobs:
             variable: "DS4_VERSION"
             branch: "main"
             file: "backend/cpp/ds4/Makefile"
+          - repository: "meituan-longcat/LongCat-Video"
+            variable: "LONGCAT_VIDEO_VERSION"
+            branch: "main"
+            file: "backend/python/longcat-video/Makefile"
           - repository: "localai-org/privacy-filter.cpp"
             variable: "PRIVACY_FILTER_VERSION"
             branch: "master"
@@ -42,10 +46,22 @@ jobs:
             variable: "PARAKEET_VERSION"
             branch: "master"
             file: "backend/go/parakeet-cpp/Makefile"
+          - repository: "mudler/moss-transcribe.cpp"
+            variable: "MOSS_VERSION"
+            branch: "master"
+            file: "backend/go/moss-transcribe-cpp/Makefile"
           - repository: "mudler/ced.cpp"
             variable: "CED_VERSION"
             branch: "master"
             file: "backend/go/ced/Makefile"
+          - repository: "mudler/voice-detect.cpp"
+            variable: "VOICEDETECT_VERSION"
+            branch: "master"
+            file: "backend/go/voice-detect/Makefile"
+          - repository: "mudler/face-detect.cpp"
+            variable: "FACEDETECT_VERSION"
+            branch: "master"
+            file: "backend/go/face-detect/Makefile"
           - repository: "mudler/depth-anything.cpp"
             variable: "DEPTHANYTHING_VERSION"
             branch: "master"

.github/workflows/realtime-conformance.yml

@@ -0,0 +1,69 @@
+---
+name: 'realtime-conformance'
+
+# Verifies the realtime state-machine implementations conform to their formal
+# designs (docs/design/realtime-state-machines.md, formal-verification/). BOTH
+# layers are enforced and the gate is fail-closed: the Go conformance layer
+# (respcoord + turncoord transition/rapid tests under -race) AND the FizzBee model check of
+# the authoritative specs. FizzBee is pinned + checksum-verified
+# (formal-verification/fizzbee.sha256), so a failed install fails the job rather
+# than silently skipping verification.
+
+on:
+  pull_request:
+    paths:
+      - 'core/http/endpoints/openai/coordinator/**'
+      - 'core/http/endpoints/openai/respcoord/**'
+      - 'core/http/endpoints/openai/turncoord/**'
+      - 'core/http/endpoints/openai/conncoord/**'
+      - 'core/http/endpoints/openai/compactcoord/**'
+      - 'core/http/endpoints/openai/ttscoord/**'
+      - 'formal-verification/**'
+      - 'scripts/realtime-conformance.sh'
+      - 'scripts/install-fizzbee.sh'
+      - '.github/workflows/realtime-conformance.yml'
+  push:
+    branches:
+      - master
+    paths:
+      - 'core/http/endpoints/openai/coordinator/**'
+      - 'core/http/endpoints/openai/respcoord/**'
+      - 'core/http/endpoints/openai/turncoord/**'
+      - 'core/http/endpoints/openai/conncoord/**'
+      - 'core/http/endpoints/openai/compactcoord/**'
+      - 'core/http/endpoints/openai/ttscoord/**'
+      - 'formal-verification/**'
+      - 'scripts/realtime-conformance.sh'
+
+concurrency:
+  group: realtime-conformance-${{ github.event.pull_request.number || github.sha }}-${{ github.repository }}
+  cancel-in-progress: ${{ github.event_name == 'pull_request' }}
+
+jobs:
+  conformance:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        go-version: ['1.26.x']
+    steps:
+      - name: Clone
+        uses: actions/checkout@v7
+      - name: Setup Go ${{ matrix.go-version }}
+        uses: actions/setup-go@v5
+        with:
+          go-version: ${{ matrix.go-version }}
+          cache: false
+      - name: Cache FizzBee
+        uses: actions/cache@v6
+        with:
+          path: .tools/fizzbee
+          key: fizzbee-v0.5.2-${{ runner.os }}-${{ hashFiles('formal-verification/fizzbee.sha256') }}
+      - name: Install FizzBee (pinned, checksum-verified)
+        # No `|| true`: a failed/forged download must fail the job, not silently
+        # drop the design verification. install-fizzbee.sh is a no-op if the
+        # cached binary is already present and valid.
+        run: ./scripts/install-fizzbee.sh
+      - name: Run conformance gate (fail-closed)
+        # No skip env: both the Go conformance and the FizzBee model check are
+        # required. The gate auto-detects .tools/fizzbee/fizz.
+        run: make test-realtime-conformance

.github/workflows/stalebot.yml

@@ -11,7 +11,7 @@ jobs:
     if: github.repository == 'mudler/LocalAI'
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/stale@eb5cf3af3ac0a1aa4c9c45633dd1ae542a27a899 # v9
+      - uses: actions/stale@1e223db275d687790206a7acac4d1a11bd6fe629 # 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

@@ -1008,7 +1008,11 @@ jobs:
   # image + working dir.
   tests-vibevoice-cpp-grpc-transcription:
     needs: detect-changes
-    if: needs.detect-changes.outputs.vibevoice-cpp == 'true' || needs.detect-changes.outputs.run-all == 'true'
+    # Skip on release tag pushes: the ASR Q4_K model is ~10 GB and cannot be
+    # pulled from HF within the inner `go test -timeout 30m` budget on a CI
+    # runner, so every tag build hung and timed out. Still runs on PRs/branch
+    # pushes that touch vibevoice-cpp so regressions are caught off the release path.
+    if: (needs.detect-changes.outputs.vibevoice-cpp == 'true' || needs.detect-changes.outputs.run-all == 'true') && !startsWith(github.ref, 'refs/tags/')
     runs-on: bigger-runner
     timeout-minutes: 150
     steps:

.gitignore

@@ -97,3 +97,12 @@ core/http/react-ui/test-results/
 
 # Local Apple signing material (never commit)
 .certs/
+
+# Pinned dev tools (e.g. FizzBee for the realtime-conformance gate)
+.tools/
+
+# FizzBee model-check artifacts: the parser emits <spec>.json next to each
+# .fizz and the checker writes run dirs under out/. Both are regenerated by
+# the realtime-conformance gate; only the .fizz sources are authoritative.
+formal-verification/*.json
+formal-verification/out/

Dockerfile

@@ -171,6 +171,17 @@ RUN if [ "${BUILD_TYPE}" = "hipblas" ]; then \
     ln -s /opt/rocm-**/lib/llvm/lib/libomp.so /usr/lib/libomp.so \
     ; fi
 
+# ROCm's bundled libdrm_amdgpu is built with a hardcoded fallback lookup path
+# for the ASIC ID table (/opt/amdgpu/share/libdrm/amdgpu.ids), which only exists
+# if AMD's full amdgpu graphics/DKMS stack is installed. This compute-only image
+# doesn't have it, so hipblas/rocBLAS log "No such file or directory" on every
+# model load and can fail to identify the GPU. Point it at the equivalent file
+# Ubuntu's libdrm-common package already ships.
+RUN if [ "${BUILD_TYPE}" = "hipblas" ] && [ -f /usr/share/libdrm/amdgpu.ids ] && [ ! -e /opt/amdgpu/share/libdrm/amdgpu.ids ]; then \
+    mkdir -p /opt/amdgpu/share/libdrm && \
+    ln -s /usr/share/libdrm/amdgpu.ids /opt/amdgpu/share/libdrm/amdgpu.ids \
+    ; fi
+
 RUN expr "${BUILD_TYPE}" = intel && echo "intel" > /run/localai/capability || echo "not intel"
 
 # Cuda

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/crispasr backends/parakeet-cpp 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/omnivoice-cpp backends/vibevoice-cpp backends/localvqe backends/tinygrad backends/sherpa-onnx backends/ds4 backends/ds4-darwin backends/liquid-audio backends/supertonic backends/depth-anything-cpp backends/privacy-filter backends/privacy-filter-darwin
+.NOTPARALLEL: backends/diffusers backends/llama-cpp backends/turboquant backends/outetts backends/piper backends/stablediffusion-ggml backends/whisper backends/crispasr backends/parakeet-cpp backends/moss-transcribe-cpp 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/longcat-video 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/omnivoice-cpp backends/vibevoice-cpp backends/localvqe backends/tinygrad backends/sherpa-onnx backends/ds4 backends/ds4-darwin backends/liquid-audio backends/supertonic backends/depth-anything-cpp backends/privacy-filter backends/privacy-filter-darwin
 
 GOCMD=go
 GOTEST=$(GOCMD) test
@@ -405,6 +405,18 @@ test-realtime: build-mock-backend
 	@echo 'Running realtime e2e tests (mock backend)'
 	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="Realtime && !real-models" --flake-attempts $(TEST_FLAKES) -v -r ./tests/e2e
 
+# Verify the realtime state-machine implementations conform to their formal
+# designs (Go transition/rapid tests under -race + FizzBee model check of the
+# authoritative specs). See docs/design/realtime-state-machines.md (Part 6) and
+# docs/design/specs/README.md.
+test-realtime-conformance:
+	GOCMD=$(GOCMD) ./scripts/realtime-conformance.sh
+
+# Install the pinned, checksum-verified FizzBee model checker (into .tools/,
+# gitignored) used by test-realtime-conformance. Idempotent; no-op if present.
+install-fizzbee:
+	./scripts/install-fizzbee.sh
+
 # Container-based real-model realtime testing. Build env vars / pipeline
 # definition kept here so test-realtime-models-docker can drive a fully wired
 # pipeline (VAD + STT + LLM + TTS) from inside a containerised runner.
@@ -553,6 +565,7 @@ prepare-test-extra: protogen-python
 	$(MAKE) -C backend/python/chatterbox
 	$(MAKE) -C backend/python/vllm
 	$(MAKE) -C backend/python/vllm-omni
+	$(MAKE) -C backend/python/longcat-video
 	$(MAKE) -C backend/python/sglang
 	$(MAKE) -C backend/python/vibevoice
 	$(MAKE) -C backend/python/liquid-audio
@@ -582,6 +595,7 @@ test-extra: prepare-test-extra
 	$(MAKE) -C backend/python/chatterbox test
 	$(MAKE) -C backend/python/vllm test
 	$(MAKE) -C backend/python/vllm-omni test
+	$(MAKE) -C backend/python/longcat-video test
 	$(MAKE) -C backend/python/vibevoice test
 	$(MAKE) -C backend/python/liquid-audio test
 	$(MAKE) -C backend/python/moonshine test
@@ -633,6 +647,9 @@ test-extra: prepare-test-extra
 ## suite against it.
 ##
 BACKEND_TEST_MODEL_URL?=https://huggingface.co/Qwen/Qwen3-0.6B-GGUF/resolve/main/Qwen3-0.6B-Q8_0.gguf
+## Suite timeout for `go test`. Wrappers whose model download alone can eat
+## most of the default (multi-GB models on a slow HF CDN day) override this.
+BACKEND_TEST_TIMEOUT?=30m
 
 ## Generic target — runs the suite against whatever BACKEND_IMAGE points at.
 ## Depends on protogen-go so pkg/grpc/proto is generated before `go test`.
@@ -660,7 +677,7 @@ test-extra-backend: protogen-go
 	BACKEND_TEST_FACE_IMAGE_3_URL="$$BACKEND_TEST_FACE_IMAGE_3_URL" \
 	BACKEND_TEST_FACE_IMAGE_3_FILE="$$BACKEND_TEST_FACE_IMAGE_3_FILE" \
 	BACKEND_TEST_VERIFY_DISTANCE_CEILING="$$BACKEND_TEST_VERIFY_DISTANCE_CEILING" \
-	go test -v -timeout 30m ./tests/e2e-backends/...
+	go test -v -timeout $(BACKEND_TEST_TIMEOUT) ./tests/e2e-backends/...
 
 ## Convenience wrappers: build the image, then exercise it.
 test-extra-backend-llama-cpp: docker-build-llama-cpp
@@ -1000,6 +1017,7 @@ test-extra-backend-vibevoice-cpp-tts: docker-build-vibevoice-cpp
 ## post-image disk budget.
 test-extra-backend-vibevoice-cpp-transcription: docker-build-vibevoice-cpp
 	BACKEND_IMAGE=local-ai-backend:vibevoice-cpp \
+	BACKEND_TEST_TIMEOUT=120m \
 	BACKEND_TEST_MODEL_URL='https://huggingface.co/mudler/vibevoice.cpp-models/resolve/main/vibevoice-asr-q4_k.gguf#vibevoice-asr-q4_k.gguf' \
 	BACKEND_TEST_EXTRA_FILES='https://huggingface.co/mudler/vibevoice.cpp-models/resolve/main/tokenizer.gguf#tokenizer.gguf' \
 	BACKEND_TEST_AUDIO_URL=https://github.com/ggml-org/whisper.cpp/raw/master/samples/jfk.wav \
@@ -1027,7 +1045,19 @@ test-extra-backend-whisper-transcription: docker-build-whisper
 ## is reachable.
 test-extra-backend-parakeet-cpp-transcription: docker-build-parakeet-cpp
 	BACKEND_IMAGE=local-ai-backend:parakeet-cpp \
-	BACKEND_TEST_MODEL_URL=https://huggingface.co/mudler/parakeet-cpp-gguf/resolve/main/tdt_ctc-110m-f16.gguf \
+	BACKEND_TEST_MODEL_URL=https://huggingface.co/mudler/parakeet-cpp-gguf/resolve/main/realtime_eou_120m-v1-f16.gguf \
+	BACKEND_TEST_AUDIO_URL=https://github.com/ggml-org/whisper.cpp/raw/master/samples/jfk.wav \
+	BACKEND_TEST_CAPS=health,load,transcription \
+	$(MAKE) test-extra-backend
+
+## Audio transcription wrapper for the moss-transcribe-cpp (moss-transcribe.cpp
+## ggml port) backend. Mirrors test-extra-backend-parakeet-cpp-transcription:
+## drives the AudioTranscription RPC against a published MOSS GGUF using the JFK
+## 11s clip from whisper.cpp's CI samples. Not part of the default test suite -
+## run explicitly once the pinned model URL is reachable.
+test-extra-backend-moss-transcribe-cpp-transcription: docker-build-moss-transcribe-cpp
+	BACKEND_IMAGE=local-ai-backend:moss-transcribe-cpp \
+	BACKEND_TEST_MODEL_URL=https://huggingface.co/mudler/moss-transcribe.cpp-gguf/resolve/main/moss-transcribe-q5_k.gguf \
 	BACKEND_TEST_AUDIO_URL=https://github.com/ggml-org/whisper.cpp/raw/master/samples/jfk.wav \
 	BACKEND_TEST_CAPS=health,load,transcription \
 	$(MAKE) test-extra-backend
@@ -1200,6 +1230,7 @@ BACKEND_STABLEDIFFUSION_GGML = stablediffusion-ggml|golang|.|--progress=plain|tr
 BACKEND_WHISPER = whisper|golang|.|false|true
 BACKEND_CRISPASR = crispasr|golang|.|false|true
 BACKEND_PARAKEET_CPP = parakeet-cpp|golang|.|false|true
+BACKEND_MOSS_TRANSCRIBE_CPP = moss-transcribe-cpp|golang|.|false|true
 BACKEND_DEPTH_ANYTHING_CPP = depth-anything-cpp|golang|.|false|true
 BACKEND_VOXTRAL = voxtral|golang|.|false|true
 BACKEND_ACESTEP_CPP = acestep-cpp|golang|.|false|true
@@ -1225,6 +1256,7 @@ BACKEND_NEUTTS = neutts|python|.|false|true
 BACKEND_KOKORO = kokoro|python|.|false|true
 BACKEND_VLLM = vllm|python|.|false|true
 BACKEND_VLLM_OMNI = vllm-omni|python|.|false|true
+BACKEND_LONGCAT_VIDEO = longcat-video|python|.|--progress=plain|true
 BACKEND_SGLANG = sglang|python|.|false|true
 BACKEND_DIFFUSERS = diffusers|python|.|--progress=plain|true
 BACKEND_CHATTERBOX = chatterbox|python|.|false|true
@@ -1293,6 +1325,7 @@ $(eval $(call generate-docker-build-target,$(BACKEND_STABLEDIFFUSION_GGML)))
 $(eval $(call generate-docker-build-target,$(BACKEND_WHISPER)))
 $(eval $(call generate-docker-build-target,$(BACKEND_CRISPASR)))
 $(eval $(call generate-docker-build-target,$(BACKEND_PARAKEET_CPP)))
+$(eval $(call generate-docker-build-target,$(BACKEND_MOSS_TRANSCRIBE_CPP)))
 $(eval $(call generate-docker-build-target,$(BACKEND_DEPTH_ANYTHING_CPP)))
 $(eval $(call generate-docker-build-target,$(BACKEND_VOXTRAL)))
 $(eval $(call generate-docker-build-target,$(BACKEND_OPUS)))
@@ -1309,6 +1342,7 @@ $(eval $(call generate-docker-build-target,$(BACKEND_NEUTTS)))
 $(eval $(call generate-docker-build-target,$(BACKEND_KOKORO)))
 $(eval $(call generate-docker-build-target,$(BACKEND_VLLM)))
 $(eval $(call generate-docker-build-target,$(BACKEND_VLLM_OMNI)))
+$(eval $(call generate-docker-build-target,$(BACKEND_LONGCAT_VIDEO)))
 $(eval $(call generate-docker-build-target,$(BACKEND_SGLANG)))
 $(eval $(call generate-docker-build-target,$(BACKEND_DIFFUSERS)))
 $(eval $(call generate-docker-build-target,$(BACKEND_CHATTERBOX)))
@@ -1345,7 +1379,7 @@ $(eval $(call generate-docker-build-target,$(BACKEND_SUPERTONIC)))
 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-crispasr 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-omnivoice-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-supertonic docker-build-depth-anything-cpp docker-build-privacy-filter
+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-longcat-video docker-build-sglang docker-build-transformers docker-build-outetts docker-build-diffusers docker-build-kokoro docker-build-faster-whisper docker-build-crispasr 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-omnivoice-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-supertonic docker-build-depth-anything-cpp docker-build-moss-transcribe-cpp docker-build-privacy-filter
 
 ########################################################
 ### Mock Backend for E2E Tests
@@ -1470,8 +1504,13 @@ build-launcher-darwin:
 	mv cmd/launcher/LocalAI.app dist/LocalAI.app
 	bash contrib/macos/sign-and-notarize.sh sign dist/LocalAI.app
 
-# Wrap the (signed) app into a drag-to-Applications DMG via hdiutil, then sign the DMG.
+# Notarize + staple the .app itself, then wrap it into a drag-to-Applications
+# DMG via hdiutil and sign the DMG. The app is stapled BEFORE packaging so the
+# bundle carries its own ticket and verifies offline (a dmg-only staple leaves
+# the app relying on an online Gatekeeper check, which fails offline / once the
+# app is copied out of the dmg). No-op without notary secrets.
 dmg-launcher-darwin: build-launcher-darwin
+	bash contrib/macos/sign-and-notarize.sh notarize-app dist/LocalAI.app
 	rm -rf dist/dmg dist/LocalAI.dmg
 	mkdir -p dist/dmg
 	cp -R dist/LocalAI.app dist/dmg/LocalAI.app
@@ -1483,7 +1522,7 @@ dmg-launcher-darwin: build-launcher-darwin
 notarize-launcher-darwin: dmg-launcher-darwin
 	bash contrib/macos/sign-and-notarize.sh notarize dist/LocalAI.dmg
 
-# Single entrypoint for CI: build -> sign app -> dmg -> sign dmg -> notarize -> staple.
+# Single entrypoint for CI: build -> sign app -> notarize+staple app -> dmg -> sign dmg -> notarize+staple dmg.
 release-launcher-darwin: notarize-launcher-darwin
 	@echo "dist/LocalAI.dmg is ready"
 

README.md

@@ -177,6 +177,7 @@ For more details, see the [Getting Started guide](https://localai.io/basics/gett
 
 ## Latest News
 
+- **June 2026**: New native biometric backends from the LocalAI team: [voice-detect.cpp](https://github.com/mudler/voice-detect.cpp) for speaker recognition and voice analysis (ECAPA-TDNN, WeSpeaker, ERes2Net, CAM++, wav2vec2 age/gender/emotion) and [face-detect.cpp](https://github.com/mudler/face-detect.cpp) for face detection, recognition, demographics and anti-spoofing (SCRFD/ArcFace, YuNet/SFace). Both are from-scratch C++/ggml engines with no Python or onnxruntime at inference, self-contained GGUF weights, bit-exact parity with the reference, and GPU cuDNN parity, replacing the heavier Python `insightface` and `speaker-recognition` backends ([PR #10441](https://github.com/mudler/LocalAI/pull/10441)).
 - **June 2026**: New [realtime voice assistant demo](https://github.com/localai-org/localai-realtime-demo) (a tiny Go client for the Realtime API with a full talk-back voice loop and tool calling), plus [streaming of the realtime LLM / TTS / transcription pipeline stages](https://github.com/mudler/LocalAI/pull/10176) and [configurable WebRTC ICE candidates](https://github.com/mudler/LocalAI/pull/10231).
 - **June 2026**: Big speech push: the [parakeet.cpp](https://github.com/mudler/parakeet.cpp) ASR engine gains [NeMo-faithful segment timestamps](https://github.com/mudler/LocalAI/pull/10207), a [multilingual streaming Nemotron-3.5 model](https://github.com/mudler/LocalAI/pull/10199), [dynamic batching for concurrent transcription](https://github.com/mudler/LocalAI/pull/10112) and [CUDA graphs](https://github.com/mudler/LocalAI/pull/10273); the new [CrispASR backend](https://github.com/mudler/LocalAI/pull/10099) adds multi-architecture ASR + TTS, and [60 Piper TTS voices across 42 languages](https://github.com/mudler/LocalAI/pull/10296) land in the gallery (plus [per-request TTS instructions and params](https://github.com/mudler/LocalAI/pull/10172)).
 - **June 2026**: New backends and models: [locate-anything.cpp](https://github.com/mudler/LocalAI/pull/10264) for open-vocabulary object detection via ggml, [Ideogram4 image generation](https://github.com/mudler/LocalAI/pull/10201) in stablediffusion-ggml, [llama.cpp video input](https://github.com/mudler/LocalAI/pull/10216), and the [Gemma 4 QAT family with MTP speculative-decoding pairs](https://github.com/mudler/LocalAI/pull/10215). Plus an [interactive CLI chat mode](https://github.com/mudler/LocalAI/pull/10226) and [RAG source citations in agent responses](https://github.com/mudler/LocalAI/pull/10228).
@@ -231,12 +232,16 @@ Most backends wrap a best-in-class upstream engine. A handful of them are native
 | Backend | What it does |
 |---------|-------------|
 | [parakeet.cpp](https://github.com/mudler/parakeet.cpp) | C++/GGML port of NVIDIA NeMo Parakeet ASR (tdt/ctc/rnnt/hybrid), with cache-aware streaming transcription |
+| [moss-transcribe.cpp](https://github.com/mudler/moss-transcribe.cpp) | C++/GGML port of OpenMOSS MOSS-Transcribe-Diarize: joint long-form transcription, speaker diarization and timestamping in a single pass |
 | [ced.cpp](https://github.com/mudler/ced.cpp) | C++/GGML port of the CED audio-tagging models: sound-event classification (527-class AudioSet) over REST and the realtime API for live recognition |
-| [voxtral.c](https://github.com/mudler/voxtral.c) | Voxtral Realtime 4B speech-to-text in pure C |
+| [voice-detect.cpp](https://github.com/mudler/voice-detect.cpp) | Speaker recognition and voice analysis (ECAPA-TDNN, WeSpeaker, ERes2Net, CAM++, wav2vec2 age/gender/emotion), replacing the Python speaker-recognition backend |
+| [voxtral-tts.c](https://github.com/mudler/voxtral-tts.c) | Voxtral Realtime 4B speech-to-text in pure C |
 | [vibevoice.cpp](https://github.com/mudler/vibevoice.cpp) | Native port of Microsoft VibeVoice for TTS (voice cloning) and long-form ASR with speaker diarization |
 | [rf-detr.cpp](https://github.com/mudler/rf-detr.cpp) | Native RF-DETR object detection and instance segmentation |
 | [locate-anything.cpp](https://github.com/mudler/locate-anything.cpp) | Open-vocabulary object detection and visual grounding (LocateAnything-3B) |
 | [depth-anything.cpp](https://github.com/mudler/depth-anything.cpp) | Depth Anything 3 monocular metric depth + camera pose estimation |
+| [face-detect.cpp](https://github.com/mudler/face-detect.cpp) | Face detection, recognition, demographics and anti-spoofing (SCRFD/ArcFace, YuNet/SFace), replacing the Python insightface backend |
+| [free-splatter.cpp](https://github.com/localai-org/free-splatter.cpp) | Pose-free 3D reconstruction (FreeSplatter): turns a handful of plain photos into 3D Gaussians, no camera poses or GPU required |
 | [privacy-filter.cpp](https://github.com/localai-org/privacy-filter.cpp) | Standalone GGML PII/NER token-classification engine powering LocalAI's PII redaction tier |
 | [LocalVQE](https://github.com/localai-org/LocalVQE) | Joint acoustic echo cancellation, noise suppression, and dereverberation |
 | [local-store](https://github.com/mudler/LocalAI) | Local-first vector database for embeddings (shipped in-tree) |

backend/Dockerfile.golang

@@ -137,7 +137,7 @@ RUN <<EOT bash
             libcusolver-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION}
         if [ "${CUDA_MAJOR_VERSION}" = "13" ] && [ "arm64" = "$TARGETARCH" ]; then
             apt-get install -y --no-install-recommends \
-            libcufile-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libcudnn9-cuda-${CUDA_MAJOR_VERSION} cuda-cupti-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libnvjitlink-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION}
+            libcufile-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libcudnn9-cuda-${CUDA_MAJOR_VERSION} libcudnn9-dev-cuda-${CUDA_MAJOR_VERSION} cuda-cupti-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libnvjitlink-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION}
         fi
         apt-get clean && \
         rm -rf /var/lib/apt/lists/*

backend/README.md

@@ -46,6 +46,7 @@ The backend system provides language-specific Dockerfiles that handle the build
 - **vllm**: High-performance LLM inference
 - **mlx**: Apple Silicon optimization
 - **diffusers**: Stable Diffusion models
+- **longcat-video**: CUDA text/image-to-video and speech-driven avatar generation
 - **Audio**: coqui, faster-whisper, kitten-tts
 - **Vision**: mlx-vlm, rfdetr
 - **Specialized**: rerankers, chatterbox, kokoro

backend/backend.proto

@@ -18,6 +18,18 @@ service Backend {
   rpc GenerateVideo(GenerateVideoRequest) returns (Result) {}
   rpc AudioTranscription(TranscriptRequest) returns (TranscriptResult) {}
   rpc AudioTranscriptionStream(TranscriptRequest) returns (stream TranscriptStreamResponse) {}
+  // AudioTranscriptionLive is the bidirectional live-microphone ASR RPC. The
+  // first message MUST carry a Config; subsequent messages carry Audio frames
+  // (mono float PCM at config.sample_rate, 16 kHz default). After a
+  // successful open the backend replies with a single ready ack
+  // (TranscriptLiveResponse{ready:true}); backends or models without
+  // cache-aware streaming support return UNIMPLEMENTED instead. Newly
+  // finalized text streams back as deltas; eou=true marks the model's
+  // end-of-utterance token. One stream spans many utterances (the decoder
+  // resets itself after each EOU). Closing the send side finalizes: the
+  // backend flushes the decoder tail and emits a terminal message carrying
+  // final_result. A second Config mid-stream resets the decode session.
+  rpc AudioTranscriptionLive(stream TranscriptLiveRequest) returns (stream TranscriptLiveResponse) {}
   rpc TTS(TTSRequest) returns (Result) {}
   rpc TTSStream(TTSRequest) returns (stream Reply) {}
   rpc SoundGeneration(SoundGenerationRequest) returns (Result) {}
@@ -479,6 +491,10 @@ message TranscriptResult {
   string text = 2;
   string language = 3;
   float duration = 4;
+  // True when the decode ended on the model's end-of-utterance special token
+  // (<EOU>/<EOB>, emitted by cache-aware streaming models such as
+  // parakeet_realtime_eou_120m-v1). The marker itself is stripped from text.
+  bool eou = 5;
 }
 
 message TranscriptStreamResponse {
@@ -486,6 +502,34 @@ message TranscriptStreamResponse {
   TranscriptResult final_result = 2;
 }
 
+// === AudioTranscriptionLive messages =====================================
+
+message TranscriptLiveRequest {
+  oneof payload {
+    TranscriptLiveConfig config = 1;
+    TranscriptLiveAudio  audio  = 2;
+  }
+}
+
+message TranscriptLiveConfig {
+  string language = 1;             // "" => model default
+  int32 sample_rate = 2;           // 0 => 16000; backends may reject others
+  map<string, string> params = 3;  // backend-specific tuning
+}
+
+message TranscriptLiveAudio {
+  repeated float pcm = 1;          // mono PCM in [-1,1] at config.sample_rate
+}
+
+message TranscriptLiveResponse {
+  bool ready = 1;                       // open ack: sent once, before any delta
+  string delta = 2;                     // newly-finalized text since previous response
+  bool eou = 3;                         // <EOU> fired during this feed (the user yielded the turn)
+  repeated TranscriptWord words = 4;    // words finalized by this feed (stream-relative ns)
+  TranscriptResult final_result = 5;    // terminal message only, after the send side closes
+  bool eob = 6;                         // <EOB> fired: a backchannel ("uh-huh") ended — NOT a turn boundary
+}
+
 message TranscriptWord {
   int64 start = 1;
   int64 end = 2;
@@ -533,6 +577,10 @@ message GenerateVideoRequest {
   float cfg_scale = 10;    // Classifier-free guidance scale
   int32 step = 11;         // Number of inference steps
   string dst = 12;        // Output path for the generated video
+  string audio = 13;      // Path to staged audio for audio-conditioned video
+  // Backend-specific per-request generation parameters. Values are strings
+  // and are validated/coerced by the selected backend.
+  map<string, string> params = 14;
 }
 
 message TTSRequest {
@@ -1212,4 +1260,3 @@ message ForwardReply {
   repeated ForwardHeader headers = 2;
   bytes body_chunk = 3;
 }
-

backend/cpp/ds4/package.sh

@@ -1,12 +1,14 @@
 #!/bin/bash
-set -e
+set -euo pipefail
 CURDIR=$(dirname "$(realpath "$0")")
 REPO_ROOT="${CURDIR}/../../.."
+PACKAGE_DIR="$CURDIR/package"
 
-mkdir -p "$CURDIR/package/lib"
-cp -avf "$CURDIR/grpc-server" "$CURDIR/package/"
-cp -avf "$CURDIR/ds4-worker"  "$CURDIR/package/"
-cp -rfv "$CURDIR/run.sh"      "$CURDIR/package/"
+rm -rf "$PACKAGE_DIR"
+mkdir -p "$PACKAGE_DIR/lib"
+cp -avf "$CURDIR/grpc-server" "$PACKAGE_DIR/"
+cp -avf "$CURDIR/ds4-worker"  "$PACKAGE_DIR/"
+cp -rfv "$CURDIR/run.sh"      "$PACKAGE_DIR/"
 
 UNAME_S=$(uname -s)
 if [ "$UNAME_S" = "Darwin" ]; then
@@ -16,25 +18,54 @@ if [ "$UNAME_S" = "Darwin" ]; then
 fi
 
 if [ -f "/lib64/ld-linux-x86-64.so.2" ]; then
-    cp -arfLv /lib64/ld-linux-x86-64.so.2 "$CURDIR/package/lib/ld.so"
-    LIBDIR=/lib/x86_64-linux-gnu
+    cp -arfLv /lib64/ld-linux-x86-64.so.2 "$PACKAGE_DIR/lib/ld.so"
 elif [ -f "/lib/ld-linux-aarch64.so.1" ]; then
-    cp -arfLv /lib/ld-linux-aarch64.so.1 "$CURDIR/package/lib/ld.so"
-    LIBDIR=/lib/aarch64-linux-gnu
+    cp -arfLv /lib/ld-linux-aarch64.so.1 "$PACKAGE_DIR/lib/ld.so"
 else
     echo "package.sh: unknown architecture" >&2; exit 1
 fi
 
-for lib in libc.so.6 libgcc_s.so.1 libstdc++.so.6 libm.so.6 libgomp.so.1 \
-           libdl.so.2 librt.so.1 libpthread.so.0; do
-    cp -arfLv "$LIBDIR/$lib" "$CURDIR/package/lib/$lib"
+# Bundle the complete dependency closure for both executables. In particular,
+# grpc-server links the distro gRPC/protobuf/absl stack; copying only the core
+# C/C++ runtime libraries leaves the scratch image unable to start.
+{
+    ldd "$CURDIR/grpc-server"
+    ldd "$CURDIR/ds4-worker"
+} | awk '$2 == "=>" && $3 ~ /^\// { print $3 }' | sort -u | \
+while read -r so; do
+    cp -arfLv "$so" "$PACKAGE_DIR/lib/"
 done
 
 GPU_LIB_SCRIPT="${REPO_ROOT}/scripts/build/package-gpu-libs.sh"
 if [ -f "$GPU_LIB_SCRIPT" ]; then
-    source "$GPU_LIB_SCRIPT" "$CURDIR/package/lib"
+    # shellcheck source=/dev/null
+    source "$GPU_LIB_SCRIPT" "$PACKAGE_DIR/lib"
     package_gpu_libs
 fi
 
+# Resolve every dependency through the same loader and library path used by
+# the from-scratch image. The loader can still search host defaults, so reject
+# any absolute dependency path that escapes the package instead of accepting a
+# false-positive validation against a library that scratch will not contain.
+validate_packaged_binary() {
+    local binary="$1"
+    local resolution
+    resolution=$("$PACKAGE_DIR/lib/ld.so" \
+        --library-path "$PACKAGE_DIR/lib" \
+        --list "$PACKAGE_DIR/$binary")
+
+    printf '%s\n' "$resolution" | awk -v prefix="$PACKAGE_DIR/lib/" '
+        $2 == "=>" && $3 ~ /^\// && index($3, prefix) != 1 {
+            print "package.sh: dependency resolved outside package: " $0 > "/dev/stderr"
+            invalid = 1
+        }
+        END { exit invalid }
+    '
+}
+
+for binary in grpc-server ds4-worker; do
+    validate_packaged_binary "$binary"
+done
+
 echo "ds4 package contents:"
-ls -lah "$CURDIR/package/" "$CURDIR/package/lib/"
+ls -lah "$PACKAGE_DIR/" "$PACKAGE_DIR/lib/"

backend/cpp/ik-llama-cpp/CMakeLists.txt

@@ -1,15 +1,6 @@
-## Clip/LLaVA library for multimodal support — built locally from copied sources
-set(TARGET myclip)
-add_library(${TARGET} clip.cpp clip.h llava.cpp llava.h)
-install(TARGETS ${TARGET} LIBRARY)
-target_include_directories(myclip PUBLIC .)
-target_include_directories(myclip PUBLIC ../..)
-target_include_directories(myclip PUBLIC ../../common)
-target_link_libraries(${TARGET} PRIVATE common ggml llama ${CMAKE_THREAD_LIBS_INIT})
-target_compile_features(${TARGET} PRIVATE cxx_std_11)
-if (NOT MSVC)
-    target_compile_options(${TARGET} PRIVATE -Wno-cast-qual)
-endif()
+## Multimodal support is provided by the in-tree `mtmd` library target
+## (examples/mtmd/), which the grpc-server links and includes below. clip/llava
+## were pruned upstream; the high-level mtmd_* / mtmd_helper_* API is used instead.
 
 set(TARGET grpc-server)
 set(CMAKE_CXX_STANDARD 17)
@@ -67,12 +58,16 @@ add_library(hw_grpc_proto
   ${hw_proto_hdrs} )
 
 add_executable(${TARGET} grpc-server.cpp json.hpp)
-target_link_libraries(${TARGET} PRIVATE common llama myclip ${CMAKE_THREAD_LIBS_INIT} absl::flags hw_grpc_proto
+# mtmd public headers (mtmd.h / mtmd-helper.h) live in examples/mtmd/.
+# Linking the mtmd target also propagates this include dir, but we add it
+# explicitly for clarity.
+target_include_directories(${TARGET} PRIVATE ../mtmd)
+target_link_libraries(${TARGET} PRIVATE common llama mtmd ${CMAKE_THREAD_LIBS_INIT} absl::flags hw_grpc_proto
   absl::flags_parse
   gRPC::${_REFLECTION}
   gRPC::${_GRPC_GRPCPP}
   protobuf::${_PROTOBUF_LIBPROTOBUF})
-target_compile_features(${TARGET} PRIVATE cxx_std_11)
+target_compile_features(${TARGET} PRIVATE cxx_std_17)
 if(TARGET BUILD_INFO)
   add_dependencies(${TARGET} BUILD_INFO)
 endif()

backend/cpp/ik-llama-cpp/Makefile

@@ -1,5 +1,5 @@
 
-IK_LLAMA_VERSION?=b84902d2ad27c34f989f23947200c4b91b1568fd
+IK_LLAMA_VERSION?=6198a356a85ed71534c02a9c1026203389f341e5
 LLAMA_REPO?=https://github.com/ikawrakow/ik_llama.cpp
 
 CMAKE_ARGS?=

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

@@ -11,8 +11,8 @@
 #include <memory>
 #include <string>
 #include <getopt.h>
-#include "clip.h"
-#include "llava.h"
+#include "mtmd.h"
+#include "mtmd-helper.h"
 #include "log.h"
 #include "common.h"
 #include "json.hpp"
@@ -45,7 +45,9 @@ using backend::HealthMessage;
 
 ///// LLAMA.CPP server code below
 
-using json = nlohmann::json;
+// Match mtmd.h and ik_llama's server/common headers, which all use
+// nlohmann::ordered_json; a plain nlohmann::json alias collides at global scope.
+using json = nlohmann::ordered_json;
 
 struct server_params
 {
@@ -219,6 +221,11 @@ struct llama_client_slot
 
     // multimodal
     std::vector<slot_image> images;
+    // Full prompt with mtmd media markers (mtmd_default_marker()) substituted in
+    // place of the legacy [img-N] tags, covering the text up to and including the
+    // last image. The text after the last image is kept in params.input_suffix and
+    // decoded through the normal token path so the sampling loop is unchanged.
+    std::string mtmd_prompt;
 
     // stats
     size_t sent_count = 0;
@@ -252,14 +259,14 @@ struct llama_client_slot
 
         for (slot_image & img : images)
         {
-            free(img.image_embedding);
-            if (img.img_data) {
-                clip_image_u8_free(img.img_data);
+            if (img.bitmap) {
+                mtmd_bitmap_free(img.bitmap);
+                img.bitmap = nullptr;
             }
-            img.prefix_prompt = "";
         }
 
         images.clear();
+        mtmd_prompt = "";
     }
 
     bool has_budget(gpt_params &global_params) {
@@ -396,46 +403,13 @@ struct llama_metrics {
     }
 };
 
-struct llava_embd_batch {
-    std::vector<llama_pos>      pos;
-    std::vector<int32_t>        n_seq_id;
-    std::vector<llama_seq_id>   seq_id_0;
-    std::vector<llama_seq_id *> seq_ids;
-    std::vector<int8_t>         logits;
-    llama_batch batch;
-    llava_embd_batch(float * embd, int32_t n_tokens, llama_pos pos_0, llama_seq_id seq_id) {
-        pos     .resize(n_tokens);
-        n_seq_id.resize(n_tokens);
-        seq_ids .resize(n_tokens + 1);
-        logits  .resize(n_tokens);
-        seq_id_0.resize(1);
-        seq_id_0[0] = seq_id;
-        seq_ids [n_tokens] = nullptr;
-        batch = {
-            /*n_tokens       =*/ n_tokens,
-            /*tokens         =*/ nullptr,
-            /*embd           =*/ embd,
-            /*pos            =*/ pos.data(),
-            /*n_seq_id       =*/ n_seq_id.data(),
-            /*seq_id         =*/ seq_ids.data(),
-            /*logits         =*/ logits.data(),
-        };
-        for (int i = 0; i < n_tokens; i++) {
-            batch.pos     [i] = pos_0 + i;
-            batch.n_seq_id[i] = 1;
-            batch.seq_id  [i] = seq_id_0.data();
-            batch.logits  [i] = false;
-        }
-    }
-};
-
 struct llama_server_context
 {
     llama_model *model = nullptr;
     llama_context *ctx = nullptr;
     const llama_vocab * vocab = nullptr;
 
-    clip_ctx *clp_ctx = nullptr;
+    mtmd_context *mctx = nullptr;
 
     gpt_params params;
 
@@ -491,11 +465,6 @@ struct llama_server_context
         if (!params.mmproj.path.empty()) {
             multimodal = true;
             LOG_INFO("Multi Modal Mode Enabled", {});
-            clp_ctx = clip_model_load(params.mmproj.path.c_str(), /*verbosity=*/ 1);
-            if(clp_ctx == nullptr) {
-                LOG_ERR("unable to load clip model: %s", params.mmproj.path.c_str());
-                return false;
-            }
 
             if (params.n_ctx < 2048) { // request larger context for the image embedding
                 params.n_ctx = 2048;
@@ -512,10 +481,24 @@ struct llama_server_context
         }
 
         if (multimodal) {
-            const int n_embd_clip = clip_n_mmproj_embd(clp_ctx);
-            const int n_embd_llm  = llama_model_n_embd(model);
-            if (n_embd_clip != n_embd_llm) {
-                LOG("%s: embedding dim of the multimodal projector (%d) is not equal to that of LLaMA (%d). Make sure that you use the correct mmproj file.\n", __func__, n_embd_clip, n_embd_llm);
+            // mtmd_init_from_file requires the already-loaded text model, so it must
+            // run AFTER llama_init_from_gpt_params. It validates the projector
+            // against the model internally and returns nullptr on dim mismatch, so
+            // the explicit clip_n_mmproj_embd check is no longer needed.
+            mtmd_context_params mparams = mtmd_context_params_default();
+            mparams.use_gpu         = params.mmproj_use_gpu;
+            mparams.print_timings   = false;
+            mparams.n_threads       = params.n_threads_mtmd != -1 ? params.n_threads_mtmd
+                                      : params.n_threads_batch != -1 ? params.n_threads_batch
+                                                                     : params.n_threads;
+            mparams.verbosity       = GGML_LOG_LEVEL_INFO;
+            mparams.flash_attn_type = params.flash_attn ? LLAMA_FLASH_ATTN_TYPE_ENABLED
+                                                        : LLAMA_FLASH_ATTN_TYPE_DISABLED;
+            mparams.image_min_tokens = params.image_min_tokens;
+            mparams.image_max_tokens = params.image_max_tokens;
+            mctx = mtmd_init_from_file(params.mmproj.path.c_str(), model, mparams);
+            if (mctx == nullptr) {
+                LOG_ERR("unable to load multimodal projector: %s", params.mmproj.path.c_str());
                 llama_free(ctx);
                 llama_free_model(model);
                 return false;
@@ -865,8 +848,8 @@ struct llama_server_context
 
                     slot_image img_sl;
                     img_sl.id = img.count("id") != 0 ? img["id"].get<int>() : slot->images.size();
-                    img_sl.img_data = clip_image_u8_init();
-                    if (!clip_image_load_from_bytes(image_buffer.data(), image_buffer.size(), img_sl.img_data))
+                    img_sl.bitmap = mtmd_helper_bitmap_init_from_buf(mctx, image_buffer.data(), image_buffer.size());
+                    if (img_sl.bitmap == nullptr)
                     {
                         LOG_ERR("%s: failed to load image, slot_id: %d, img_sl_id: %d",
                              __func__,
@@ -879,50 +862,74 @@ struct llama_server_context
                         {"slot_id",   slot->id},
                         {"img_sl_id", img_sl.id}
                     });
-                    img_sl.request_encode_image = true;
                     slot->images.push_back(img_sl);
                 }
-                // process prompt
-                // example: system prompt [img-102] user [img-103] describe [img-134] -> [{id: 102, prefix: 'system prompt '}, {id: 103, prefix: ' user '}, {id: 134, prefix: ' describe '}]}
+                // Translate the legacy [img-N] tags into mtmd media markers, in
+                // order, and collect the matching bitmaps in marker order so they
+                // line up with the markers passed to mtmd_tokenize(). The text after
+                // the last image stays in input_suffix and is decoded through the
+                // normal token path, so the sampling loop is unchanged.
+                // example: system prompt [img-102] user [img-103] describe [img-134]
                 if (slot->images.size() > 0 && !slot->prompt.is_array())
                 {
+                    const std::string marker = mtmd_default_marker();
                     std::string prompt = slot->prompt.get<std::string>();
-                    size_t pos = 0, begin_prefix = 0;
+                    std::string built_prompt;
+                    std::vector<slot_image> ordered;
+                    size_t pos = 0, copy_from = 0;
                     std::string pattern = "[img-";
-                    while ((pos = prompt.find(pattern, pos)) != std::string::npos) {
-                        size_t end_prefix = pos;
-                        pos += pattern.length();
-                        size_t end_pos = prompt.find(']', pos);
-                        if (end_pos != std::string::npos)
-                        {
-                            std::string image_id = prompt.substr(pos, end_pos - pos);
-                            try
-                            {
-                                int img_id = std::stoi(image_id);
-                                bool found = false;
-                                for (slot_image &img : slot->images)
-                                {
-                                    if (img.id == img_id) {
-                                        found = true;
-                                        img.prefix_prompt = prompt.substr(begin_prefix, end_prefix - begin_prefix);
-                                        begin_prefix = end_pos + 1;
-                                        break;
-                                    }
-                                }
-                                if (!found) {
-                                    LOG("ERROR: Image with id: %i, not found.\n", img_id);
-                                    slot->images.clear();
-                                    return false;
-                                }
-                            } catch (const std::invalid_argument& e) {
-                                LOG("Invalid image number id in prompt\n");
-                                slot->images.clear();
-                                return false;
+
+                    auto free_images = [&]() {
+                        for (slot_image &img : slot->images) {
+                            if (img.bitmap) {
+                                mtmd_bitmap_free(img.bitmap);
+                                img.bitmap = nullptr;
                             }
                         }
+                        slot->images.clear();
+                    };
+
+                    while ((pos = prompt.find(pattern, pos)) != std::string::npos) {
+                        size_t tag_begin = pos;
+                        pos += pattern.length();
+                        size_t end_pos = prompt.find(']', pos);
+                        if (end_pos == std::string::npos) {
+                            break;
+                        }
+                        std::string image_id = prompt.substr(pos, end_pos - pos);
+                        try
+                        {
+                            int img_id = std::stoi(image_id);
+                            bool found = false;
+                            for (slot_image &img : slot->images)
+                            {
+                                if (img.id == img_id) {
+                                    found = true;
+                                    // text before this tag, then the media marker
+                                    built_prompt += prompt.substr(copy_from, tag_begin - copy_from);
+                                    built_prompt += marker;
+                                    copy_from = end_pos + 1;
+                                    ordered.push_back(img);
+                                    break;
+                                }
+                            }
+                            if (!found) {
+                                LOG("ERROR: Image with id: %i, not found.\n", img_id);
+                                free_images();
+                                return false;
+                            }
+                        } catch (const std::invalid_argument& e) {
+                            LOG("Invalid image number id in prompt\n");
+                            free_images();
+                            return false;
+                        }
+                        pos = end_pos + 1;
                     }
+                    // bitmaps are consumed in marker order by mtmd_tokenize()
+                    slot->images = ordered;
+                    slot->mtmd_prompt = built_prompt;
                     slot->prompt = "";
-                    slot->params.input_suffix = prompt.substr(begin_prefix);
+                    slot->params.input_suffix = prompt.substr(copy_from);
                     slot->params.cache_prompt = false; // multimodal doesn't support cache prompt
                 }
             }
@@ -1176,21 +1183,10 @@ struct llama_server_context
 
     bool process_images(llama_client_slot &slot) const
     {
-        for (slot_image &img : slot.images)
-        {
-            if (!img.request_encode_image)
-            {
-                continue;
-            }
-
-            if (!llava_image_embed_make_with_clip_img(clp_ctx, params.n_threads, img.img_data, &img.image_embedding, &img.image_tokens)) {
-                LOG("Error processing the given image");
-                return false;
-            }
-
-            img.request_encode_image = false;
-        }
-
+        // With the mtmd pipeline, image encoding is no longer eager: the bitmaps
+        // are tokenized and encoded together with the surrounding text inside
+        // ingest_images() via mtmd_tokenize() + mtmd_helper_eval_chunks(). This
+        // just reports whether the slot carries any images to process.
         return slot.images.size() > 0;
     }
 
@@ -1435,69 +1431,70 @@ struct llama_server_context
         }
     }
 
-    // for multiple images processing
+    // Tokenize the multimodal prompt (text interleaved with media markers) together
+    // with the slot's bitmaps, then decode the resulting chunks into the llama
+    // context via the high-level mtmd helper. The helper runs llama_decode() on the
+    // text chunks and mtmd_encode() + llama_decode() on the image chunks, handling
+    // batching and any pre/post decode setup (e.g. non-causal attention for gemma3).
+    // Advances slot.n_past by the number of positions consumed, then leaves the
+    // post-image suffix tokens in `batch` so the normal decode + sampling loop
+    // produces the first generated token.
     bool ingest_images(llama_client_slot &slot, int n_batch)
     {
-        int image_idx = 0;
-
-        while (image_idx < (int) slot.images.size())
+        if (mctx == nullptr)
         {
-            slot_image &img = slot.images[image_idx];
+            LOG("%s : multimodal context is not initialized\n", __func__);
+            return false;
+        }
 
-            // process prefix prompt
-            for (int32_t i = 0; i < (int32_t) batch.n_tokens; i += n_batch)
-            {
-                const int32_t n_tokens = std::min(n_batch, (int32_t) (batch.n_tokens - i));
-                llama_batch batch_view = {
-                    n_tokens,
-                    batch.token    + i,
-                    nullptr,
-                    batch.pos      + i,
-                    batch.n_seq_id + i,
-                    batch.seq_id   + i,
-                    batch.logits   + i,
-                };
-                if (llama_decode(ctx, batch_view))
-                {
-                    LOG("%s : failed to eval\n", __func__);
-                    return false;
-                }
-            }
+        // bitmaps stay owned by slot.images (freed on reset()); pass non-owning ptrs
+        std::vector<const mtmd_bitmap *> bitmaps;
+        bitmaps.reserve(slot.images.size());
+        for (const slot_image &img : slot.images)
+        {
+            bitmaps.push_back(img.bitmap);
+        }
 
-            // process image with llm
-            for (int i = 0; i < img.image_tokens; i += n_batch)
-            {
-                int n_eval = img.image_tokens - i;
-                if (n_eval > n_batch)
-                {
-                    n_eval = n_batch;
-                }
+        mtmd_input_text inp_txt;
+        inp_txt.text          = slot.mtmd_prompt.c_str();
+        inp_txt.add_special   = add_bos_token;
+        inp_txt.parse_special = true;
 
-                const int n_embd = llama_model_n_embd(model);
-                float * embd = img.image_embedding + i * n_embd;
-                llava_embd_batch llava_batch = llava_embd_batch(embd, n_eval, slot.n_past, 0);
-                if (llama_decode(ctx, llava_batch.batch))
-                {
-                    LOG("%s : failed to eval image\n", __func__);
-                    return false;
-                }
-                slot.n_past += n_eval;
-            }
-            image_idx++;
+        mtmd::input_chunks chunks(mtmd_input_chunks_init());
+        int32_t res = mtmd_tokenize(mctx,
+                                    chunks.ptr.get(),
+                                    &inp_txt,
+                                    bitmaps.data(),
+                                    bitmaps.size());
+        if (res != 0)
+        {
+            LOG("%s : failed to tokenize multimodal prompt, res = %d\n", __func__, res);
+            return false;
+        }
 
-            common_batch_clear(batch);
+        const llama_pos start_pos = (llama_pos) system_tokens.size() + slot.n_past;
+        llama_pos new_n_past = start_pos;
+        if (mtmd_helper_eval_chunks(mctx,
+                                    ctx,
+                                    chunks.ptr.get(),
+                                    start_pos,
+                                    slot.id,
+                                    n_batch,
+                                    /*logits_last=*/ false,
+                                    &new_n_past) != 0)
+        {
+            LOG("%s : failed to eval multimodal chunks\n", __func__);
+            return false;
+        }
+        slot.n_past += (int32_t) (new_n_past - start_pos);
 
-            // append prefix of next image
-            const auto json_prompt = (image_idx >= (int) slot.images.size()) ?
-                slot.params.input_suffix : // no more images, then process suffix prompt
-                (json)(slot.images[image_idx].prefix_prompt);
-
-            std::vector<llama_token> append_tokens = tokenize(json_prompt, false); // has next image
-            for (int i = 0; i < (int) append_tokens.size(); ++i)
-            {
-                common_batch_add(batch, append_tokens[i], system_tokens.size() + slot.n_past, { slot.id }, true);
-                slot.n_past += 1;
-            }
+        // queue the post-image suffix text for the normal decode + sampling path
+        common_batch_clear(batch);
+        std::vector<llama_token> suffix_tokens = tokenize(slot.params.input_suffix, false);
+        for (llama_token tok : suffix_tokens)
+        {
+            common_batch_add(batch, tok, system_tokens.size() + slot.n_past, { slot.id }, false);
+            slot.n_past += 1;
         }
 
         return true;
@@ -1884,8 +1881,11 @@ struct llama_server_context
 
                     const bool has_images = process_images(slot);
 
-                    // process the prefix of first image
-                    std::vector<llama_token> prefix_tokens = has_images ? tokenize(slot.images[0].prefix_prompt, add_bos_token) : prompt_tokens;
+                    // For the multimodal path the whole pre-image / inter-image text is
+                    // tokenized and decoded inside ingest_images() via mtmd, so no prefix
+                    // tokens are queued here; the post-image suffix is appended by
+                    // ingest_images() for the normal decode + sampling loop.
+                    std::vector<llama_token> prefix_tokens = has_images ? std::vector<llama_token>() : prompt_tokens;
 
                     int32_t slot_npast = slot.n_past_se > 0 ? slot.n_past_se : slot.n_past;
 

backend/cpp/ik-llama-cpp/patches/0002-clip-ggml-quantize-chunk-user-data.patch

@@ -1,11 +0,0 @@
---- a/examples/llava/clip.cpp
-+++ b/examples/llava/clip.cpp
-@@ -2494,7 +2494,7 @@
-             }
-             new_data = work.data();
-
--            new_size = ggml_quantize_chunk(new_type, f32_data, new_data, 0, n_elms/cur->ne[0], cur->ne[0], nullptr);
-+            new_size = ggml_quantize_chunk(new_type, f32_data, new_data, 0, n_elms/cur->ne[0], cur->ne[0], nullptr, nullptr);
-         } else {
-             new_type = cur->type;
-             new_data = cur->data;

backend/cpp/ik-llama-cpp/prepare.sh

@@ -17,28 +17,9 @@ cp -r grpc-server.cpp llama.cpp/examples/grpc-server/
 cp -r utils.hpp llama.cpp/examples/grpc-server/
 cp -rfv llama.cpp/vendor/nlohmann/json.hpp llama.cpp/examples/grpc-server/
 
-## Copy clip/llava files for multimodal support (built as myclip library)
-cp -rfv llama.cpp/examples/llava/clip.h llama.cpp/examples/grpc-server/clip.h
-cp -rfv llama.cpp/examples/llava/clip.cpp llama.cpp/examples/grpc-server/clip.cpp
-cp -rfv llama.cpp/examples/llava/llava.cpp llama.cpp/examples/grpc-server/llava.cpp
-# Prepend llama.h include to llava.h
-echo '#include "llama.h"' > llama.cpp/examples/grpc-server/llava.h
-cat llama.cpp/examples/llava/llava.h >> llama.cpp/examples/grpc-server/llava.h
-# Copy clip-impl.h if it exists
-if [ -f llama.cpp/examples/llava/clip-impl.h ]; then
-    cp -rfv llama.cpp/examples/llava/clip-impl.h llama.cpp/examples/grpc-server/clip-impl.h
-fi
-# Copy stb_image.h
-if [ -f llama.cpp/vendor/stb/stb_image.h ]; then
-    cp -rfv llama.cpp/vendor/stb/stb_image.h llama.cpp/examples/grpc-server/stb_image.h
-elif [ -f llama.cpp/common/stb_image.h ]; then
-    cp -rfv llama.cpp/common/stb_image.h llama.cpp/examples/grpc-server/stb_image.h
-fi
-
-## Fix API compatibility in llava.cpp (llama_n_embd -> llama_model_n_embd)
-if [ -f llama.cpp/examples/grpc-server/llava.cpp ]; then
-    sed -i 's/llama_n_embd(/llama_model_n_embd(/g' llama.cpp/examples/grpc-server/llava.cpp
-fi
+## Multimodal support is provided by the `mtmd` library target (examples/mtmd/),
+## which the grpc-server links and includes directly. No source copy is needed:
+## clip/llava were pruned upstream and the high-level mtmd_* API is used instead.
 
 set +e
 if grep -q "grpc-server" llama.cpp/examples/CMakeLists.txt; then

backend/cpp/ik-llama-cpp/utils.hpp

@@ -11,9 +11,12 @@
 
 #include "json.hpp"
 
-#include "clip.h"
+#include "mtmd.h"
 
-using json = nlohmann::json;
+// mtmd.h and ik_llama's entire server/common stack (chat.h, server-common.h,
+// server-task.h, ...) declare `using json = nlohmann::ordered_json`, so match it
+// here: a plain `nlohmann::json` alias collides with mtmd.h's at global scope.
+using json = nlohmann::ordered_json;
 
 extern bool server_verbose;
 
@@ -111,13 +114,12 @@ struct slot_image
 {
     int32_t id;
 
-    bool request_encode_image = false;
-    float * image_embedding = nullptr;
-    int32_t image_tokens = 0;
-
-    clip_image_u8 * img_data;
-
-    std::string prefix_prompt; // before of this image
+    // mtmd bitmap (image/audio) decoded from the request buffer. Owned by the
+    // slot; freed via mtmd_bitmap_free() on reset. The high-level mtmd pipeline
+    // (mtmd_tokenize + mtmd_helper_eval_chunks) consumes these directly, so the
+    // legacy eager-encode fields (embedding/tokens) and per-image prefix prompt
+    // are no longer needed.
+    mtmd_bitmap * bitmap = nullptr;
 };
 
 // completion token output with probabilities

backend/cpp/llama-cpp/CMakeLists.txt

@@ -101,4 +101,13 @@ if(LLAMA_GRPC_BUILD_TESTS)
     target_link_libraries(message_content_test PRIVATE ${_LLAMA_COMMON_TARGET})
     target_compile_features(message_content_test PRIVATE cxx_std_17)
     add_test(NAME message_content_test COMMAND message_content_test)
+
+    # Parent-death watcher test (parent_watch.h) — standard library only, but
+    # needs a threading runtime for std::thread.
+    find_package(Threads REQUIRED)
+    add_executable(parent_watch_test parent_watch_test.cpp parent_watch.h)
+    target_include_directories(parent_watch_test PRIVATE ${CMAKE_CURRENT_SOURCE_DIR})
+    target_link_libraries(parent_watch_test PRIVATE Threads::Threads)
+    target_compile_features(parent_watch_test PRIVATE cxx_std_17)
+    add_test(NAME parent_watch_test COMMAND parent_watch_test)
 endif()

backend/cpp/llama-cpp/Makefile

@@ -1,5 +1,5 @@
 
-LLAMA_VERSION?=9d5d882d8cd0f0a9283d87ed5e6fe3ee0d925fb1
+LLAMA_VERSION?=6b4dc2116a92c5c8f2782bfe51fabe5ee66fb5ef
 LLAMA_REPO?=https://github.com/ggerganov/llama.cpp
 
 CMAKE_ARGS?=
@@ -156,11 +156,11 @@ llama-cpp-grpc: llama.cpp
 	cp -rf $(CURRENT_MAKEFILE_DIR)/../llama-cpp $(CURRENT_MAKEFILE_DIR)/../llama-cpp-grpc-build
 	$(MAKE) -C $(CURRENT_MAKEFILE_DIR)/../llama-cpp-grpc-build purge
 	$(info ${GREEN}I llama-cpp build info:grpc${RESET})
-	CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_RPC=ON -DGGML_AVX=off -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_BMI2=off" TARGET="--target grpc-server --target rpc-server" $(MAKE) VARIANT="llama-cpp-grpc-build" build-llama-cpp-grpc-server
+	CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_RPC=ON -DGGML_AVX=off -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_BMI2=off" TARGET="--target grpc-server --target ggml-rpc-server" $(MAKE) VARIANT="llama-cpp-grpc-build" build-llama-cpp-grpc-server
 	cp -rfv $(CURRENT_MAKEFILE_DIR)/../llama-cpp-grpc-build/grpc-server llama-cpp-grpc
 
 llama-cpp-rpc-server: llama-cpp-grpc
-	cp -rf $(CURRENT_MAKEFILE_DIR)/../llama-cpp-grpc-build/llama.cpp/build/bin/rpc-server llama-cpp-rpc-server
+	cp -rf $(CURRENT_MAKEFILE_DIR)/../llama-cpp-grpc-build/llama.cpp/build/bin/ggml-rpc-server llama-cpp-rpc-server
 
 llama.cpp:
 	mkdir -p llama.cpp

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

@@ -30,6 +30,19 @@
 #define LOCALAI_HAS_SERVER_SCHEMA 1
 #include "server-schema.cpp"
 #endif
+// server-stream.cpp exists only in llama.cpp after the upstream refactor that
+// added the SSE stream-resumption layer (stream_session/stream_pipe_producer).
+// server-context.cpp calls into it (spipe->cleanup(), stream_aware_should_stop,
+// stream_session_attach_pipe), so its definitions must be part of this
+// translation unit or the link fails with "undefined reference to
+// stream_pipe_producer::cleanup()". The file is self-contained (its only
+// external symbols come from server-common, already pulled in above) and the
+// http route-handler factories it also defines are unused here but harmless.
+// __has_include keeps the source compatible with older pins/forks that predate
+// the split.
+#if __has_include("server-stream.cpp")
+#include "server-stream.cpp"
+#endif
 #include "server-context.cpp"
 
 // LocalAI
@@ -62,6 +75,8 @@
 #include <windows.h>
 #endif
 
+#include "parent_watch.h" // best-effort parent-death backstop (see header)
+
 
 using grpc::Server;
 using grpc::ServerBuilder;
@@ -598,6 +613,24 @@ static void params_parse(server_context& /*ctx_server*/, const backend::ModelOpt
     // starts with '-'. Applied once after the loop via common_params_parse.
     std::vector<std::string> extra_argv;
 
+    auto add_device_options = [&](const std::string & devices) {
+        const std::regex regex{ R"([,]+)" };
+        std::sregex_token_iterator it{ devices.begin(), devices.end(), regex, -1 };
+        std::vector<std::string> split_arg{ it, {} };
+
+        for (std::string device : split_arg) {
+            const auto start = device.find_first_not_of(" \t\n\r");
+            if (start == std::string::npos) {
+                continue;
+            }
+            const auto end = device.find_last_not_of(" \t\n\r");
+            device = device.substr(start, end - start + 1);
+
+            extra_argv.push_back("--device");
+            extra_argv.push_back(device);
+        }
+    };
+
      // decode options. Options are in form optname:optvale, or if booleans only optname.
     for (int i = 0; i < request->options_size(); i++) {
         std::string opt = request->options(i);
@@ -729,6 +762,10 @@ static void params_parse(server_context& /*ctx_server*/, const backend::ModelOpt
             } else if (optval_str == "false" || optval_str == "0" || optval_str == "no" || optval_str == "off" || optval_str == "disabled") {
                 params.no_op_offload = false;
             }
+        } else if (!strcmp(optname, "device") || !strcmp(optname, "devices")) {
+            if (optval != NULL) {
+                add_device_options(optval_str);
+            }
         } else if (!strcmp(optname, "split_mode") || !strcmp(optname, "sm")) {
             // Accepts: none | layer | row | tensor (the latter requires a llama.cpp build
             // that includes ggml-org/llama.cpp#19378, FlashAttention enabled, and KV-cache
@@ -3429,6 +3466,10 @@ int main(int argc, char** argv) {
     }
   }
 
+    // Best-effort backstop: self-terminate if the LocalAI process that spawned
+    // us dies without cleaning us up (see parent_watch.h).
+    llama_grpc::start_parent_death_watcher();
+
     server_context ctx_server;
     BackendServiceImpl service(ctx_server);
 

backend/cpp/llama-cpp/parent_watch.h

@@ -0,0 +1,179 @@
+// Parent-death watcher (best-effort backstop) for the llama.cpp gRPC backend.
+//
+// LocalAI spawns this backend as a child process and, on a clean shutdown,
+// tears it down itself (SIGTERM -> grace -> SIGKILL). That graceful path only
+// runs when LocalAI receives a catchable signal and lives long enough to run
+// its handlers. If LocalAI is SIGKILLed (e.g. a supervising process's grace
+// period elapses first), that teardown never runs and this backend would be
+// reparented to init and linger, holding VRAM and its listen port.
+//
+// The watcher here is a best-effort backstop for exactly that case: it does
+// NOT replace the graceful teardown, it only covers the "parent vanished
+// without cleaning up" path. It detects reparenting: when the process that
+// spawned this backend dies, the kernel reparents us to the nearest sub-reaper
+// or to init (PID 1), so getppid() stops matching the value captured at
+// startup. This getppid() approach is portable across Linux/macOS (unlike the
+// Linux-only PR_SET_PDEATHSIG), which is why it is used here, mirroring the Go
+// backends' pkg/grpc/parentwatch.go. It is disabled on Windows, which has no
+// equivalent orphan-reparenting semantics.
+//
+// This header is intentionally dependency-free (C++ standard library only) so
+// it can be exercised by a standalone unit test (parent_watch_test.cpp) without
+// building the full llama.cpp + gRPC backend.
+#ifndef LLAMA_GRPC_PARENT_WATCH_H
+#define LLAMA_GRPC_PARENT_WATCH_H
+
+#include <algorithm>
+#include <cctype>
+#include <chrono>
+#include <cstdio>
+#include <cstdlib>
+#include <functional>
+#include <string>
+#include <thread>
+
+#if !defined(_WIN32)
+#include <unistd.h> // getppid(2), _exit(2)
+#endif
+
+namespace llama_grpc {
+
+// Env var names are shared verbatim with the Go and Python backends for
+// consistency across languages.
+inline const char *kEnvParentWatch()         { return "LOCALAI_BACKEND_PARENT_WATCH"; }
+inline const char *kEnvParentWatchInterval() { return "LOCALAI_BACKEND_PARENT_WATCH_INTERVAL"; }
+
+// Default poll interval in milliseconds. Matches the Go side's 2 * time.Second.
+inline long parent_watch_default_interval_ms() { return 2000; }
+
+namespace detail {
+inline std::string trim_lower(const std::string &in, bool lower) {
+    size_t a = in.find_first_not_of(" \t\r\n");
+    size_t b = in.find_last_not_of(" \t\r\n");
+    if (a == std::string::npos) {
+        return "";
+    }
+    std::string s = in.substr(a, b - a + 1);
+    if (lower) {
+        std::transform(s.begin(), s.end(), s.begin(),
+                       [](unsigned char c) { return std::tolower(c); });
+    }
+    return s;
+}
+} // namespace detail
+
+// parent_watch_enabled reports whether the watcher should run. Enabled by
+// default; a falsey value ("false"/"0"/"no"/"off", case-insensitive) disables
+// it, matching the Go implementation's exact semantics.
+inline bool parent_watch_enabled() {
+#if defined(_WIN32)
+    return false;
+#else
+    const char *v = std::getenv(kEnvParentWatch());
+    if (v == nullptr || v[0] == '\0') {
+        return true;
+    }
+    const std::string s = detail::trim_lower(v, true);
+    return !(s == "false" || s == "0" || s == "no" || s == "off");
+#endif
+}
+
+// parent_watch_interval_ms returns the poll interval in milliseconds. Accepts
+// Go-style duration strings ("500ms", "2s", "1m") for cross-language parity, or
+// a bare number interpreted as seconds. Defaults to
+// parent_watch_default_interval_ms().
+inline long parent_watch_interval_ms() {
+    const long def = parent_watch_default_interval_ms();
+    const char *v = std::getenv(kEnvParentWatchInterval());
+    if (v == nullptr || v[0] == '\0') {
+        return def;
+    }
+    const std::string s = detail::trim_lower(v, false);
+    if (s.empty()) {
+        return def;
+    }
+    size_t i = 0;
+    while (i < s.size() && (std::isdigit((unsigned char)s[i]) || s[i] == '.')) {
+        i++;
+    }
+    if (i == 0) {
+        return def;
+    }
+    double num = 0.0;
+    try {
+        num = std::stod(s.substr(0, i));
+    } catch (...) {
+        return def;
+    }
+    const std::string unit = s.substr(i);
+    long ms;
+    if (unit == "ms") {
+        ms = (long)num;
+    } else if (unit == "s" || unit.empty()) {
+        ms = (long)(num * 1000.0);
+    } else if (unit == "m") {
+        ms = (long)(num * 60000.0);
+    } else {
+        return def; // unrecognized unit
+    }
+    return ms > 0 ? ms : def;
+}
+
+#if !defined(_WIN32)
+// parent_died reports whether this process has been reparented away from the
+// parent it had when the watcher started. Reparenting is the standard POSIX
+// signal that the original parent (here, the LocalAI process that spawned this
+// backend) has exited: the orphan is handed to the nearest sub-reaper or to
+// init (PID 1), so getppid() no longer matches the value captured at startup.
+inline bool parent_died(pid_t orig_ppid) {
+    const pid_t ppid = getppid();
+    return ppid != orig_ppid || ppid == 1;
+}
+
+// watch_parent_death polls until parent_died reports the original parent is
+// gone, then invokes on_death. It blocks, so run it on its own thread.
+inline void watch_parent_death(pid_t orig_ppid, long interval_ms,
+                               const std::function<void()> &on_death) {
+    for (;;) {
+        std::this_thread::sleep_for(std::chrono::milliseconds(interval_ms));
+        if (parent_died(orig_ppid)) {
+            on_death();
+            return;
+        }
+    }
+}
+#endif
+
+// start_parent_death_watcher installs the best-effort safety net described in
+// the file header on the calling backend process. It is a no-op when disabled,
+// on Windows, or when the process is already orphaned at startup
+// (getppid() <= 1). This is a backstop alongside — never a replacement for —
+// LocalAI's graceful teardown.
+inline void start_parent_death_watcher() {
+#if !defined(_WIN32)
+    if (!parent_watch_enabled()) {
+        return;
+    }
+    const pid_t orig_ppid = getppid();
+    // A parent of 1 (or less) at startup means we were already orphaned (or
+    // launched directly under init) — there is no original parent to watch for.
+    if (orig_ppid <= 1) {
+        return;
+    }
+    const long interval_ms = parent_watch_interval_ms();
+    std::thread([orig_ppid, interval_ms]() {
+        watch_parent_death(orig_ppid, interval_ms, [orig_ppid]() {
+            fprintf(stderr,
+                    "backend parent process (pid %d) exited without stopping "
+                    "this backend; self-terminating to avoid orphaning\n",
+                    (int)orig_ppid);
+            fflush(stderr);
+            _exit(1);
+        });
+    }).detach();
+#endif
+}
+
+} // namespace llama_grpc
+
+#endif // LLAMA_GRPC_PARENT_WATCH_H

backend/cpp/llama-cpp/parent_watch_test.cpp

@@ -0,0 +1,197 @@
+// Unit tests for the parent-death watcher (parent_watch.h).
+//
+// Build & run standalone (C++ standard library only, no nlohmann/json needed):
+//   g++ -std=c++17 -pthread parent_watch_test.cpp -o t && ./t
+//
+// The core test (TestDetectsReparent) builds a genuine two-level process tree
+// (test -> middle -> grandchild), lets the middle process die, and asserts the
+// grandchild's watch_parent_death detects the reparenting and self-terminates —
+// mirroring the Go test in pkg/grpc/parentwatch_test.go, but with fork(2).
+//
+// On Windows this file compiles to a no-op success (the watcher is unsupported
+// there), matching parent_watch.h's platform gating.
+
+#include <cstdio>
+#include <cstdlib>
+#include <string>
+
+#include "parent_watch.h"
+
+static int failures = 0;
+
+static void check(bool ok, const std::string &name) {
+    if (!ok) {
+        failures++;
+        fprintf(stderr, "FAIL: %s\n", name.c_str());
+    } else {
+        fprintf(stderr, "ok:   %s\n", name.c_str());
+    }
+}
+
+// Env-parsing tests are platform-independent and always run.
+static void test_env_parsing() {
+    using namespace llama_grpc;
+
+    // Interval: default when unset.
+    unsetenv("LOCALAI_BACKEND_PARENT_WATCH_INTERVAL");
+    check(parent_watch_interval_ms() == 2000, "interval default 2000ms");
+
+    setenv("LOCALAI_BACKEND_PARENT_WATCH_INTERVAL", "500ms", 1);
+    check(parent_watch_interval_ms() == 500, "interval 500ms");
+
+    setenv("LOCALAI_BACKEND_PARENT_WATCH_INTERVAL", "2s", 1);
+    check(parent_watch_interval_ms() == 2000, "interval 2s");
+
+    setenv("LOCALAI_BACKEND_PARENT_WATCH_INTERVAL", "1m", 1);
+    check(parent_watch_interval_ms() == 60000, "interval 1m");
+
+    setenv("LOCALAI_BACKEND_PARENT_WATCH_INTERVAL", "3", 1); // bare number -> seconds
+    check(parent_watch_interval_ms() == 3000, "interval bare 3 -> 3000ms");
+
+    setenv("LOCALAI_BACKEND_PARENT_WATCH_INTERVAL", "garbage", 1);
+    check(parent_watch_interval_ms() == 2000, "interval garbage -> default");
+    unsetenv("LOCALAI_BACKEND_PARENT_WATCH_INTERVAL");
+
+#if !defined(_WIN32)
+    // Enabled semantics (POSIX only; always false on Windows).
+    unsetenv("LOCALAI_BACKEND_PARENT_WATCH");
+    check(parent_watch_enabled(), "enabled by default");
+
+    for (const char *falsey : {"false", "0", "no", "off", "OFF", " False "}) {
+        setenv("LOCALAI_BACKEND_PARENT_WATCH", falsey, 1);
+        check(!parent_watch_enabled(), std::string("disabled by '") + falsey + "'");
+    }
+    setenv("LOCALAI_BACKEND_PARENT_WATCH", "true", 1);
+    check(parent_watch_enabled(), "enabled by 'true'");
+    setenv("LOCALAI_BACKEND_PARENT_WATCH", "1", 1);
+    check(parent_watch_enabled(), "enabled by '1'");
+    unsetenv("LOCALAI_BACKEND_PARENT_WATCH");
+#endif
+}
+
+#if !defined(_WIN32)
+
+#include <atomic>
+#include <ctime>
+#include <sys/stat.h>
+#include <sys/wait.h>
+#include <unistd.h>
+
+static bool file_exists(const std::string &p) {
+    struct stat st;
+    return ::stat(p.c_str(), &st) == 0;
+}
+
+static bool wait_for_file(const std::string &p, int timeout_ms) {
+    int waited = 0;
+    while (waited < timeout_ms) {
+        if (file_exists(p)) {
+            return true;
+        }
+        usleep(20 * 1000);
+        waited += 20;
+    }
+    return false;
+}
+
+static void write_file(const std::string &p, const std::string &content) {
+    FILE *f = fopen(p.c_str(), "w");
+    if (f) {
+        fwrite(content.data(), 1, content.size(), f);
+        fclose(f);
+    }
+}
+
+// Builds test -> middle -> grandchild via fork(2). The grandchild arms the REAL
+// watch_parent_death against middle; middle exits, orphaning the grandchild;
+// the watcher must detect the reparenting and self-terminate.
+static void test_detects_reparent() {
+    char tmpl[] = "/tmp/parentwatch_test_XXXXXX";
+    char *dir = mkdtemp(tmpl);
+    if (dir == nullptr) {
+        check(false, "mkdtemp");
+        return;
+    }
+    const std::string ready_file = std::string(dir) + "/ready";
+    const std::string exited_file = std::string(dir) + "/exited";
+
+    pid_t middle = fork();
+    if (middle < 0) {
+        check(false, "fork middle");
+        return;
+    }
+
+    if (middle == 0) {
+        // ---- middle process ----
+        pid_t grandchild = fork();
+        if (grandchild < 0) {
+            _exit(4);
+        }
+        if (grandchild == 0) {
+            // ---- grandchild process ----
+            pid_t orig_ppid = getppid(); // == middle
+            std::thread([&]() {
+                llama_grpc::watch_parent_death(orig_ppid, 50 /*ms*/, [&]() {
+                    write_file(exited_file, "1");
+                    _exit(7);
+                });
+            }).detach();
+
+            // Safety valve: never linger if something goes wrong.
+            std::thread([]() {
+                usleep(30 * 1000 * 1000);
+                _exit(2);
+            }).detach();
+
+            // Signal readiness only after the watcher captured orig_ppid.
+            write_file(ready_file, std::to_string(getpid()));
+            for (;;) {
+                pause();
+            }
+        }
+        // middle: wait until grandchild is ready, then exit to orphan it.
+        if (!wait_for_file(ready_file, 10000)) {
+            _exit(5);
+        }
+        _exit(0);
+    }
+
+    // ---- test (top) process ----
+    int status = 0;
+    waitpid(middle, &status, 0); // reap middle only; grandchild is orphaned
+
+    check(file_exists(ready_file), "grandchild signaled readiness");
+
+    bool detected = wait_for_file(exited_file, 10000);
+    check(detected, "watcher detected parent death and self-terminated");
+
+    // Best-effort cleanup: kill the grandchild if it somehow survived.
+    if (file_exists(ready_file)) {
+        FILE *f = fopen(ready_file.c_str(), "r");
+        if (f) {
+            int pid = 0;
+            if (fscanf(f, "%d", &pid) == 1 && pid > 1) {
+                kill(pid, SIGKILL);
+            }
+            fclose(f);
+        }
+    }
+    unlink(ready_file.c_str());
+    unlink(exited_file.c_str());
+    rmdir(dir);
+}
+
+#endif // !_WIN32
+
+int main() {
+    test_env_parsing();
+#if !defined(_WIN32)
+    test_detects_reparent();
+#endif
+    if (failures == 0) {
+        fprintf(stderr, "\nAll parent_watch tests passed.\n");
+        return 0;
+    }
+    fprintf(stderr, "\n%d parent_watch test(s) failed.\n", failures);
+    return 1;
+}

backend/cpp/llama-cpp/prepare.sh

@@ -22,6 +22,10 @@ cp -r grpc-server.cpp llama.cpp/tools/grpc-server/
 # unit test (compiled only when -DLLAMA_GRPC_BUILD_TESTS=ON).
 cp -r message_content.h llama.cpp/tools/grpc-server/
 cp -r message_content_test.cpp llama.cpp/tools/grpc-server/
+# Parent-death watcher (included by grpc-server.cpp) and its standalone unit
+# test (run via backend/cpp/run-unit-tests.sh; also buildable under ctest).
+cp -r parent_watch.h llama.cpp/tools/grpc-server/
+cp -r parent_watch_test.cpp llama.cpp/tools/grpc-server/
 cp -rfv llama.cpp/vendor/nlohmann/json.hpp llama.cpp/tools/grpc-server/
 cp -rfv llama.cpp/vendor/cpp-httplib/httplib.h llama.cpp/tools/grpc-server/
 

backend/cpp/llama-cpp/run.sh

@@ -36,6 +36,12 @@ else
 	if [ -d "$CURDIR/lib/rocblas/library" ]; then
 		export ROCBLAS_TENSILE_LIBPATH="$CURDIR"/lib/rocblas/library
 	fi
+	# Same for hipBLASLt (rocblaslt): the bundled libhipblaslt.so resolves its
+	# TensileLibrary_lazy_gfx*.dat kernel data relative to itself, so point it at
+	# the bundled data or it falls back to slow generic kernels (issue #10660).
+	if [ -d "$CURDIR/lib/hipblaslt/library" ]; then
+		export HIPBLASLT_TENSILE_LIBPATH="$CURDIR"/lib/hipblaslt/library
+	fi
 fi
 
 # If there is a lib/ld.so, use it

backend/cpp/privacy-filter/Makefile

@@ -8,7 +8,7 @@
 # Local development: point at a working checkout instead of cloning, e.g.
 #   make PRIVACY_FILTER_SRC=$HOME/c/privacy-filter.cpp grpc-server
 
-PRIVACY_FILTER_VERSION?=98f52c5ef2250f207cc6b9a6aef05393a120cb7c
+PRIVACY_FILTER_VERSION?=735a6c28607ee82afc3a670383f41b55266a3b9a
 PRIVACY_FILTER_REPO?=https://github.com/localai-org/privacy-filter.cpp
 PRIVACY_FILTER_SRC?=
 

backend/cpp/run-unit-tests.sh

@@ -54,7 +54,7 @@ for test_src in "${tests[@]}"; do
     name="$(basename "$test_src" .cpp)"
     bin="$(mktemp -d)/$name"
     echo "==> $test_src"
-    if ! "$CXX" -std=c++17 -Wall -Wextra \
+    if ! "$CXX" -std=c++17 -Wall -Wextra -pthread \
         -I"$JSON_INC" -I"$(dirname "$test_src")" \
         "$test_src" -o "$bin"; then
         echo "COMPILE FAILED: $test_src" >&2

backend/cpp/turboquant/run.sh

@@ -34,6 +34,12 @@ else
 	if [ -d "$CURDIR/lib/rocblas/library" ]; then
 		export ROCBLAS_TENSILE_LIBPATH="$CURDIR"/lib/rocblas/library
 	fi
+	# Same for hipBLASLt (rocblaslt): the bundled libhipblaslt.so resolves its
+	# TensileLibrary_lazy_gfx*.dat kernel data relative to itself, so point it at
+	# the bundled data or it falls back to slow generic kernels (issue #10660).
+	if [ -d "$CURDIR/lib/hipblaslt/library" ]; then
+		export HIPBLASLT_TENSILE_LIBPATH="$CURDIR"/lib/hipblaslt/library
+	fi
 fi
 
 # If there is a lib/ld.so, use it

backend/go/acestep-cpp/CMakeLists.txt

@@ -25,7 +25,7 @@ target_include_directories(goacestepcpp PRIVATE ${ACESTEP_DIR}/src ${ACESTEP_DIR
 target_include_directories(goacestepcpp SYSTEM PRIVATE ${ACESTEP_DIR}/ggml/include)
 
 # Link GPU backends if available (mirrors link_ggml_backends macro)
-foreach(backend blas cuda metal vulkan)
+foreach(backend blas cuda hip metal vulkan)
     if(TARGET ggml-${backend})
         target_link_libraries(goacestepcpp PRIVATE ggml-${backend})
         string(TOUPPER ${backend} BACKEND_UPPER)

backend/go/acestep-cpp/Makefile

@@ -24,7 +24,14 @@ else ifeq ($(BUILD_TYPE),openblas)
 else ifeq ($(BUILD_TYPE),clblas)
 	CMAKE_ARGS+=-DGGML_CLBLAST=ON -DCLBlast_DIR=/some/path
 else ifeq ($(BUILD_TYPE),hipblas)
-	CMAKE_ARGS+=-DGGML_HIPBLAS=ON
+	# This ggml only understands GGML_HIP (GGML_HIPBLAS was removed upstream),
+	# so passing GGML_HIPBLAS silently produced a CPU-only build (see #10666).
+	ROCM_HOME ?= /opt/rocm
+	ROCM_PATH ?= /opt/rocm
+	export CXX=$(ROCM_HOME)/llvm/bin/clang++
+	export CC=$(ROCM_HOME)/llvm/bin/clang
+	AMDGPU_TARGETS ?= gfx908,gfx90a,gfx942,gfx950,gfx1030,gfx1100,gfx1101,gfx1102,gfx1151,gfx1200,gfx1201
+	CMAKE_ARGS+=-DGGML_HIP=ON -DAMDGPU_TARGETS=$(AMDGPU_TARGETS)
 else ifeq ($(BUILD_TYPE),vulkan)
 	CMAKE_ARGS+=-DGGML_VULKAN=ON
 else ifeq ($(OS),Darwin)

backend/go/cloud-proxy/provider_anthropic.go

@@ -142,19 +142,12 @@ func buildAnthropicRequest(opts *pb.PredictOptions, cfg *proxyConfig, stream boo
 	if req.MaxTokens <= 0 {
 		req.MaxTokens = anthropicDefaultMaxTokens
 	}
-	// Newer Anthropic models 400 when both temperature and top_p are
-	// set ("`temperature` and `top_p` cannot both be specified for
-	// this model. Please use only one.") even though their docs only
-	// "recommend" picking one. The OpenAI-compatible chat UI almost
-	// always sends both with default values, so prefer temperature
-	// and drop top_p when both are present.
-	if t := opts.GetTemperature(); t != 0 {
-		v := float64(t)
-		req.Temperature = &v
-	} else if t := opts.GetTopP(); t != 0 {
-		v := float64(t)
-		req.TopP = &v
-	}
+	// Do not forward temperature/top_p. Newer Anthropic reasoning models reject
+	// requests that carry temperature ("`temperature` is deprecated for this
+	// model"), and the OpenAI-compatible clients typically send only the
+	// server-side DEFAULT sampling values rather than user intent — dropping
+	// them loses nothing and lets the upstream apply its own defaults.
+	_ = opts
 
 	req.Tools = convertOpenAITools(opts.GetTools())
 	req.ToolChoice = convertOpenAIToolChoice(opts.GetToolChoice())

backend/go/cloud-proxy/provider_anthropic_test.go

@@ -3,7 +3,6 @@ package main
 import (
 	"encoding/json"
 	"io"
-	"math"
 	"net/http"
 	"net/http/httptest"
 	"strings"
@@ -75,15 +74,16 @@ func TestPredict_Anthropic_BasicMessages(t *testing.T) {
 	g.Expect(captured.Messages).To(HaveLen(1))
 	g.Expect(captured.Messages[0].Role).To(Equal("user"))
 	g.Expect(captured.MaxTokens).To(Equal(int32(32)))
-	g.Expect(captured.Temperature).NotTo(BeNil())
-	g.Expect(*captured.Temperature).To(Equal(0.5))
-	// Anthropic 400s when both temperature and top_p are set; the
-	// translator must prefer temperature and drop top_p.
+	// Newer Anthropic reasoning models reject requests carrying temperature
+	// ("`temperature` is deprecated for this model"); clients typically send
+	// only default sampling values, so the translator forwards neither.
+	g.Expect(captured.Temperature).To(BeNil())
 	g.Expect(captured.TopP).To(BeNil())
 	g.Expect(captured.Stream).To(BeFalse())
 }
 
-// When only top_p is set, it should be forwarded.
+// Sampling parameters are not forwarded at all — the upstream applies its
+// own defaults (newest models reject explicit temperature/top_p).
 func TestPredict_Anthropic_TopPOnly(t *testing.T) {
 	g := NewWithT(t)
 	srv, captured := fakeAnthropicUpstream(t, func(_ anthropicRequest) (int, string, string) {
@@ -99,11 +99,7 @@ func TestPredict_Anthropic_TopPOnly(t *testing.T) {
 	})
 	g.Expect(err).NotTo(HaveOccurred())
 	g.Expect(captured.Temperature).To(BeNil())
-	// PredictOptions.TopP is float32 on the wire; the translator widens
-	// to float64 so 0.9 round-trips as 0.8999999761581421… — compare
-	// with a small tolerance rather than exact equality.
-	g.Expect(captured.TopP).NotTo(BeNil())
-	g.Expect(math.Abs(*captured.TopP - 0.9)).To(BeNumerically("<=", 1e-6))
+	g.Expect(captured.TopP).To(BeNil())
 }
 
 func TestPredict_Anthropic_DefaultsMaxTokens(t *testing.T) {

backend/go/cloud-proxy/provider_openai.go

@@ -30,7 +30,7 @@ type openAIRequest struct {
 	Stream           bool            `json:"stream,omitempty"`
 	Temperature      *float64        `json:"temperature,omitempty"`
 	TopP             *float64        `json:"top_p,omitempty"`
-	MaxTokens        *int32          `json:"max_tokens,omitempty"`
+	MaxTokens        *int32          `json:"max_completion_tokens,omitempty"` // newer OpenAI models reject max_tokens ("use max_completion_tokens instead")
 	Stop             []string        `json:"stop,omitempty"`
 	FrequencyPenalty *float64        `json:"frequency_penalty,omitempty"`
 	PresencePenalty  *float64        `json:"presence_penalty,omitempty"`
@@ -107,14 +107,10 @@ func buildOpenAIRequest(opts *pb.PredictOptions, cfg *proxyConfig, stream bool)
 		Tools:      parseRawJSON(opts.GetTools()),
 		ToolChoice: parseRawJSON(opts.GetToolChoice()),
 	}
-	if t := opts.GetTemperature(); t != 0 {
-		v := float64(t)
-		req.Temperature = &v
-	}
-	if t := opts.GetTopP(); t != 0 {
-		v := float64(t)
-		req.TopP = &v
-	}
+	// Do not forward temperature/top_p. Newer OpenAI reasoning models reject
+	// temperature as deprecated, and clients typically send only default
+	// sampling values rather than user intent — let the upstream apply its
+	// own defaults.
 	if n := opts.GetTokens(); n > 0 {
 		req.MaxTokens = &n
 	}

backend/go/cloud-proxy/provider_openai_test.go

@@ -74,8 +74,9 @@ func TestPredict_OpenAI_BasicChat(t *testing.T) {
 	g.Expect(captured.Messages).To(HaveLen(2))
 	g.Expect(captured.Messages[0].Role).To(Equal("system"))
 	g.Expect(captured.Messages[1].Role).To(Equal("user"))
-	g.Expect(captured.Temperature).NotTo(BeNil())
-	g.Expect(*captured.Temperature).To(Equal(0.5))
+	// Sampling parameters are not forwarded (newest models reject explicit
+	// temperature); token limit is serialized as max_completion_tokens.
+	g.Expect(captured.Temperature).To(BeNil())
 	g.Expect(captured.MaxTokens).NotTo(BeNil())
 	g.Expect(*captured.MaxTokens).To(Equal(int32(32)))
 	g.Expect(captured.Stream).To(BeFalse())

backend/go/crispasr/CMakeLists.txt

@@ -17,7 +17,7 @@ target_link_libraries(gocrispasr PRIVATE
     crispasr-lib
     parakeet canary canary_ctc cohere granite_speech granite_nle
     voxtral voxtral4b qwen3_asr qwen3_tts orpheus chatterbox indextts
-    kokoro voxcpm2_tts m2m100 t5_translate wav2vec2-ggml vibevoice
+    kokoro voxcpm2_tts m2m100 t5_translate wav2vec2-ggml vibevoice f5-tts
     silero-lid pyannote-seg funasr paraformer sensevoice
     crisp_audio
     ggml)

backend/go/crispasr/Makefile

@@ -8,7 +8,7 @@ JOBS?=$(shell nproc --ignore=1)
 
 # CrispASR version (release tag)
 CRISPASR_REPO?=https://github.com/CrispStrobe/CrispASR
-CRISPASR_VERSION?=8f1218141b792b8868861c1af17ba1e361b05dc0
+CRISPASR_VERSION?=d76cce027e3b183fc3d8c72e976e69d11f71bc8b
 SO_TARGET?=libgocrispasr.so
 
 CMAKE_ARGS+=-DBUILD_SHARED_LIBS=OFF

backend/go/crispasr/gocrispasr.go

@@ -530,11 +530,51 @@ func setVoice(voice string) {
 	}
 }
 
+// applyRequestVoice distinguishes named speakers from per-request reference
+// WAVs. The latter are used by F5-TTS and require the exact transcript under
+// the cross-backend params.ref_text contract.
+func applyRequestVoice(req *pb.TTSRequest) error {
+	voice := strings.TrimSpace(req.Voice)
+	if voice == "" {
+		return nil
+	}
+
+	info, statErr := os.Stat(voice)
+	looksLikeFile := filepath.IsAbs(voice) || strings.EqualFold(filepath.Ext(voice), ".wav")
+	if statErr == nil && info.Mode().IsRegular() {
+		refText := ""
+		if req.Params != nil {
+			refText = strings.TrimSpace(req.Params["ref_text"])
+			if refText == "" {
+				refText = strings.TrimSpace(req.Params["voice_text"])
+			}
+		}
+		if refText == "" {
+			return fmt.Errorf("crispasr: params.ref_text is required with a reference voice WAV")
+		}
+		if rc := CppTTSSetVoiceFile(voice, refText); rc < 0 {
+			return fmt.Errorf("crispasr: failed to apply reference voice %q (rc=%d)", voice, rc)
+		}
+		return nil
+	}
+	if looksLikeFile {
+		if statErr != nil {
+			return fmt.Errorf("crispasr: reference voice %q: %w", voice, statErr)
+		}
+		return fmt.Errorf("crispasr: reference voice %q is not a regular file", voice)
+	}
+
+	setVoice(voice)
+	return nil
+}
+
 func (w *CrispASR) TTS(req *pb.TTSRequest) error {
 	if req.Dst == "" {
 		return fmt.Errorf("crispasr: TTS requires a destination path")
 	}
-	setVoice(req.Voice)
+	if err := applyRequestVoice(req); err != nil {
+		return err
+	}
 	pcm, err := w.synthesize(req.Text)
 	if err != nil {
 		return err
@@ -553,7 +593,9 @@ func (w *CrispASR) TTSStream(req *pb.TTSRequest, results chan []byte) error {
 	if req.Text == "" {
 		return fmt.Errorf("crispasr: TTSStream requires text")
 	}
-	setVoice(req.Voice)
+	if err := applyRequestVoice(req); err != nil {
+		return err
+	}
 	pcm, err := w.synthesize(req.Text)
 	if err != nil {
 		return err

backend/go/crispasr/gocrispasr_test.go

@@ -172,6 +172,32 @@ var _ = Describe("CrispASR", func() {
 	})
 
 	Context("TTS", func() {
+		It("applies a per-request reference WAV and transcript", func() {
+			refWAV := filepath.Join(GinkgoT().TempDir(), "reference.wav")
+			Expect(os.WriteFile(refWAV, []byte("fixture"), 0o600)).To(Succeed())
+
+			original := CppTTSSetVoiceFile
+			DeferCleanup(func() { CppTTSSetVoiceFile = original })
+			var gotPath, gotText string
+			CppTTSSetVoiceFile = func(path, refText string) int {
+				gotPath, gotText = path, refText
+				return 0
+			}
+
+			Expect(applyRequestVoice(&pb.TTSRequest{
+				Voice:  refWAV,
+				Params: map[string]string{"ref_text": "The exact words in the clip."},
+			})).To(Succeed())
+			Expect(gotPath).To(Equal(refWAV))
+			Expect(gotText).To(Equal("The exact words in the clip."))
+		})
+
+		It("rejects a reference WAV without a transcript", func() {
+			refWAV := filepath.Join(GinkgoT().TempDir(), "reference.wav")
+			Expect(os.WriteFile(refWAV, []byte("fixture"), 0o600)).To(Succeed())
+			Expect(applyRequestVoice(&pb.TTSRequest{Voice: refWAV})).To(MatchError(ContainSubstring("params.ref_text")))
+		})
+
 		It("synthesizes a non-empty WAV", func() {
 			ttsModel := ttsModelOrSkip()
 			ensureLibLoaded()
@@ -189,5 +215,32 @@ var _ = Describe("CrispASR", func() {
 			Expect(info.Size()).To(BeNumerically(">", 1024),
 				"expected a non-trivial WAV, got %d bytes", info.Size())
 		})
+
+		It("synthesizes with F5-TTS voice cloning (reference WAV + transcript)", func() {
+			// F5-TTS has no baked speaker: it clones from a reference WAV and
+			// its transcript, supplied via the voice/voice_text options. The
+			// spec skips unless all three fixtures are provided.
+			model := os.Getenv("CRISPASR_F5_MODEL_PATH")
+			refWav := os.Getenv("CRISPASR_F5_REF_WAV")
+			refText := os.Getenv("CRISPASR_F5_REF_TEXT")
+			if model == "" || refWav == "" || refText == "" {
+				Skip("set CRISPASR_F5_MODEL_PATH, CRISPASR_F5_REF_WAV and CRISPASR_F5_REF_TEXT to run this spec")
+			}
+			ensureLibLoaded()
+
+			w := &CrispASR{}
+			Expect(w.Load(&pb.ModelOptions{
+				ModelFile: model,
+				Options:   []string{"voice:" + refWav, "voice_text:" + refText},
+			})).To(Succeed())
+
+			dst := filepath.Join(GinkgoT().TempDir(), "f5.wav")
+			Expect(w.TTS(&pb.TTSRequest{Text: "Hello from LocalAI running F5 text to speech.", Dst: dst})).To(Succeed())
+
+			info, err := os.Stat(dst)
+			Expect(err).ToNot(HaveOccurred(), "synthesized WAV should exist at %q", dst)
+			Expect(info.Size()).To(BeNumerically(">", 1024),
+				"expected a non-trivial WAV, got %d bytes", info.Size())
+		})
 	})
 })

backend/go/face-detect/.gitignore

@@ -0,0 +1,18 @@
+# Fetched upstream sources
+sources/
+
+# CMake build directories
+build*/
+
+# build artifacts staged in-tree by the Makefile (cp from sources/) or
+# symlinked for local dev; the real sources live in face-detect.cpp upstream.
+*.so
+*.so.*
+facedetect_capi.h
+compile_commands.json
+
+# Compiled backend binary
+face-detect-grpc
+
+# Packaging output
+package/

backend/go/face-detect/Makefile

@@ -0,0 +1,110 @@
+# face-detect backend Makefile.
+#
+# Upstream pin lives below as FACEDETECT_VERSION?=e22260d5d5490b37b021b7f795079f386d553afd
+# can find and update it - matches the voice-detect / parakeet.cpp / whisper.cpp
+# convention).
+#
+# Local dev shortcut: if you already have an out-of-tree face-detect.cpp build,
+# symlink the .so + header into this directory and skip the clone/cmake steps:
+#
+#   ln -sf /path/to/face-detect.cpp/build-shared/libfacedetect.so .
+#   ln -sf /path/to/face-detect.cpp/include/facedetect_capi.h .
+#   go build -o face-detect-grpc .
+#
+# The default target below does the proper clone-at-pin + cmake build so CI does
+# not need a side-checkout.
+
+FACEDETECT_VERSION?=e22260d5d5490b37b021b7f795079f386d553afd
+FACEDETECT_REPO?=https://github.com/mudler/face-detect.cpp
+
+GOCMD?=go
+GO_TAGS?=
+JOBS?=$(shell nproc 2>/dev/null || sysctl -n hw.ncpu 2>/dev/null || echo 4)
+
+BUILD_TYPE?=
+NATIVE?=false
+
+# Resolve the target arch. The backend matrix / Docker build pass TARGETARCH
+# (amd64|arm64); fall back to uname -m (aarch64|x86_64) for a local build.
+RECON_ARCH?=$(or $(TARGETARCH),$(shell uname -m))
+
+# Build ggml + the vendored libjpeg-turbo statically into libfacedetect.so (PIC)
+# so the shared lib is self-contained: dlopen needs no libggml*.so alongside it,
+# only system libs (libstdc++/libgomp/libc) the runtime image already provides.
+# The vendored jpeg symbols are hidden via -Wl,--exclude-libs,ALL on the C++
+# side, so only the facedetect_capi_* surface is exported.
+CMAKE_ARGS?=-DCMAKE_BUILD_TYPE=Release -DFACEDETECT_SHARED=ON -DFACEDETECT_BUILD_CLI=OFF -DFACEDETECT_BUILD_TESTS=OFF -DBUILD_SHARED_LIBS=OFF -DCMAKE_POSITION_INDEPENDENT_CODE=ON
+
+ifeq ($(NATIVE),false)
+	CMAKE_ARGS+=-DGGML_NATIVE=OFF
+endif
+
+# face-detect.cpp gates its GGML backends behind FACEDETECT_GGML_* options and
+# does set(GGML_CUDA ${FACEDETECT_GGML_CUDA} CACHE BOOL "" FORCE), so a bare
+# -DGGML_CUDA=ON is overwritten back to OFF. Forward the FACEDETECT_GGML_*
+# options instead. (openblas is not gated, so -DGGML_BLAS passes through.)
+ifeq ($(BUILD_TYPE),cublas)
+	CMAKE_ARGS+=-DFACEDETECT_GGML_CUDA=ON
+	# Opt-in cuDNN implicit-GEMM conv path (kills im2col on GPU, SCRFD 2.3x
+	# vs torch-cuDNN parity). Only the arm64 + CUDA 13 image (GB10/Jetson/L4T)
+	# ships libcudnn9 + the -dev headers, so gate cuDNN to that variant.
+	# x86 CUDA images carry no cuDNN -> enabling it there is a link failure.
+	ifeq ($(CUDA_MAJOR_VERSION),13)
+	ifneq (,$(filter arm64 aarch64,$(RECON_ARCH)))
+		CMAKE_ARGS+=-DFACEDETECT_GGML_CUDNN=ON
+	endif
+	endif
+else ifeq ($(BUILD_TYPE),openblas)
+	CMAKE_ARGS+=-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
+else ifeq ($(BUILD_TYPE),hipblas)
+	CMAKE_ARGS+=-DFACEDETECT_GGML_HIP=ON
+else ifeq ($(BUILD_TYPE),vulkan)
+	CMAKE_ARGS+=-DFACEDETECT_GGML_VULKAN=ON
+else ifeq ($(BUILD_TYPE),metal)
+	CMAKE_ARGS+=-DFACEDETECT_GGML_METAL=ON
+endif
+
+.PHONY: face-detect-grpc package build clean purge test all
+
+all: face-detect-grpc
+
+# Clone the upstream face-detect.cpp source at the pinned commit. Directory acts
+# as the target so make only re-clones when missing. After a FACEDETECT_VERSION
+# bump, run 'make purge && make' to refetch.
+sources/face-detect.cpp:
+	mkdir -p sources/face-detect.cpp
+	cd sources/face-detect.cpp && \
+	git init -q && \
+	git remote add origin $(FACEDETECT_REPO) && \
+	git fetch --depth 1 origin $(FACEDETECT_VERSION) && \
+	git checkout FETCH_HEAD && \
+	git submodule update --init --recursive --depth 1 --single-branch
+
+# Build the shared lib + header out-of-tree, then stage them next to the Go
+# sources so purego.Dlopen("libfacedetect.so") and the cgo-less build both pick
+# them up.
+libfacedetect.so: sources/face-detect.cpp
+	cmake -B sources/face-detect.cpp/build-shared -S sources/face-detect.cpp $(CMAKE_ARGS)
+	cmake --build sources/face-detect.cpp/build-shared --config Release -j$(JOBS) --target facedetect
+	cp -fv sources/face-detect.cpp/build-shared/libfacedetect.so* ./ 2>/dev/null || true
+	cp -fv sources/face-detect.cpp/include/facedetect_capi.h ./
+
+face-detect-grpc: libfacedetect.so main.go gofacedetect.go options.go
+	CGO_ENABLED=0 $(GOCMD) build -tags "$(GO_TAGS)" -o face-detect-grpc .
+
+package: face-detect-grpc
+	bash package.sh
+
+build: package
+
+# Test target. The embed/detect/verify/analyze smoke specs are gated on
+# FACEDETECT_BACKEND_TEST_MODEL + FACEDETECT_BACKEND_TEST_IMAGE; without them the
+# heavy specs auto-skip and only the pure-Go parsing specs run.
+test:
+	LD_LIBRARY_PATH=$(CURDIR):$$LD_LIBRARY_PATH $(GOCMD) test ./... -count=1
+
+clean: purge
+	rm -rf libfacedetect.so* facedetect_capi.h package face-detect-grpc
+
+purge:
+	rm -rf sources/face-detect.cpp

backend/go/face-detect/gofacedetect.go

@@ -0,0 +1,431 @@
+package main
+
+import (
+	"encoding/base64"
+	"encoding/json"
+	"errors"
+	"fmt"
+	"math"
+	"os"
+	"path/filepath"
+	"strconv"
+	"strings"
+	"time"
+	"unsafe"
+
+	"github.com/mudler/LocalAI/pkg/grpc/base"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
+	"github.com/mudler/xlog"
+)
+
+// purego-bound entry points from libfacedetect.so. Names match
+// facedetect_capi.h exactly so a `nm libfacedetect.so | grep facedetect_capi`
+// is enough to spot drift.
+//
+// The opaque ctx and the malloc'd char*/float* return values are declared as
+// uintptr so we get the raw pointer back and can release it via the matching
+// capi free function. purego's native string/[]float32 returns would copy and
+// forget the original pointer, leaking the C-owned buffer on every call.
+var (
+	CppAbiVersion  func() int32
+	CppLoad        func(ggufPath string) uintptr
+	CppFree        func(ctx uintptr)
+	CppLastError   func(ctx uintptr) string
+	CppFreeString  func(s uintptr)
+	CppFreeVec     func(v uintptr)
+	CppEmbedPath   func(ctx uintptr, imagePath string, outVec, outDim unsafe.Pointer) int32
+	CppEmbedRGB    func(ctx uintptr, rgb []byte, width, height int32, outVec, outDim unsafe.Pointer) int32
+	CppDetectJSON  func(ctx uintptr, imagePath string) uintptr
+	CppVerifyPaths func(ctx uintptr, a, b string, threshold float32, antiSpoof int32, outDistance, outVerified unsafe.Pointer) int32
+	CppAnalyzeJSON func(ctx uintptr, imagePath string) uintptr
+)
+
+// FaceDetect implements the face-recognition (biometric) subset of the Backend
+// gRPC service over libfacedetect.so. The C side keeps a single loaded model
+// pack plus a per-ctx last-error buffer and is not reentrant, so
+// base.SingleThread serializes every call.
+type FaceDetect struct {
+	base.SingleThread
+	opts   loadOptions
+	ctxPtr uintptr
+}
+
+func (f *FaceDetect) Load(opts *pb.ModelOptions) error {
+	model := opts.ModelFile
+	if model == "" {
+		model = opts.ModelPath
+	}
+	if !filepath.IsAbs(model) && opts.ModelPath != "" {
+		model = filepath.Join(opts.ModelPath, model)
+	}
+	if model == "" {
+		return errors.New("face-detect: ModelFile is required")
+	}
+
+	f.opts = parseOptions(opts.Options)
+	if f.opts.modelName == "" {
+		f.opts.modelName = filepath.Base(model)
+	}
+
+	// Propagate LocalAI's per-model thread budget to the engine. LocalAI spawns
+	// one backend process per model and serves requests concurrently, so the
+	// engine's own min(hardware_concurrency, 8) default can oversubscribe cores.
+	// FACEDETECT_THREADS is read by the engine at backend construction, so it
+	// must be set before the capi load. A non-positive Threads means "unset":
+	// leave the env alone so the engine keeps its sane default.
+	threads := opts.Threads
+	if threads > 0 {
+		if err := os.Setenv("FACEDETECT_THREADS", strconv.Itoa(int(threads))); err != nil {
+			return fmt.Errorf("face-detect: set FACEDETECT_THREADS: %w", err)
+		}
+		xlog.Info("face-detect: applying LocalAI thread budget", "threads", threads)
+	}
+
+	xlog.Info("face-detect: loading model", "model", model,
+		"verify_threshold", f.opts.verifyThreshold, "abi", CppAbiVersion())
+
+	ctx := CppLoad(model)
+	if ctx == 0 {
+		// The last-error buffer lives on the ctx that was never returned, so
+		// surface the path the operator tried to load instead.
+		return fmt.Errorf("face-detect: facedetect_capi_load failed for %q", model)
+	}
+	f.ctxPtr = ctx
+	return nil
+}
+
+// Embeddings returns the L2-normalized ArcFace embedding of the primary face in
+// the supplied image. Mirroring the Python face backend, the image is read from
+// Images[0] as a base64 payload; materializeImage decodes it to a temp file so
+// the path-based C-API can run its own decode (cv2.imread parity). The gRPC
+// server wraps the returned slice in an EmbeddingResult.
+func (f *FaceDetect) Embeddings(req *pb.PredictOptions) ([]float32, error) {
+	if f.ctxPtr == 0 {
+		return nil, errors.New("face-detect: model not loaded")
+	}
+	if len(req.Images) == 0 || req.Images[0] == "" {
+		return nil, errors.New("face-detect: Embedding requires Images[0] to be a base64 image")
+	}
+
+	path, cleanup, err := materializeImage(req.Images[0])
+	if err != nil {
+		return nil, err
+	}
+	defer cleanup()
+
+	return f.embedPath(path)
+}
+
+func (f *FaceDetect) embedPath(path string) ([]float32, error) {
+	var vec uintptr
+	var dim int32
+	rc := CppEmbedPath(f.ctxPtr, path, unsafe.Pointer(&vec), unsafe.Pointer(&dim))
+	if rc != 0 || vec == 0 || dim <= 0 {
+		return nil, f.lastErr("embed", path)
+	}
+	defer CppFreeVec(vec)
+	// Copy out of the C-owned malloc'd buffer before freeing it. The
+	// uintptr->Pointer conversion trips vet's unsafeptr check, which can't tell
+	// a C heap pointer from Go-managed memory; safe here, the GC neither tracks
+	// nor moves this buffer and we copy immediately.
+	src := unsafe.Slice((*float32)(unsafe.Pointer(vec)), int(dim)) //nolint:govet // C-owned malloc'd vector, copied out before free
+	out := make([]float32, int(dim))
+	copy(out, src)
+	return out, nil
+}
+
+// Detect runs SCRFD over the image and returns one Detection per face. The
+// C-API emits a box as [x1,y1,x2,y2] in pixels; the proto carries x/y plus
+// width/height, so the corners are converted. The 5 facial landmarks the engine
+// also returns are dropped: the Detection message has no field for them.
+func (f *FaceDetect) Detect(req *pb.DetectOptions) (pb.DetectResponse, error) {
+	if f.ctxPtr == 0 {
+		return pb.DetectResponse{}, errors.New("face-detect: model not loaded")
+	}
+	if req.Src == "" {
+		return pb.DetectResponse{}, errors.New("face-detect: src image is required")
+	}
+
+	path, cleanup, err := materializeImage(req.Src)
+	if err != nil {
+		return pb.DetectResponse{}, err
+	}
+	defer cleanup()
+
+	faces, err := f.detectFaces(path)
+	if err != nil {
+		return pb.DetectResponse{}, err
+	}
+
+	dets := make([]*pb.Detection, 0, len(faces))
+	for _, fc := range faces {
+		if req.Threshold > 0 && fc.Score < req.Threshold {
+			continue
+		}
+		x, y, w, h := fc.xywh()
+		dets = append(dets, &pb.Detection{
+			X:          x,
+			Y:          y,
+			Width:      w,
+			Height:     h,
+			Confidence: fc.Score,
+			ClassName:  "face",
+		})
+	}
+	return pb.DetectResponse{Detections: dets}, nil
+}
+
+// FaceVerify embeds the primary face in each image and reports whether they are
+// the same identity by cosine distance against a threshold. A request threshold
+// <= 0 falls back to the model-configured default (verify_threshold option,
+// 0.35 if unset). When anti_spoofing is set, the C-API applies a MiniFASNet
+// veto internally (verified forced false on a spoof); the per-image liveness
+// scores are not exposed by the verify entry point, so img*_is_real /
+// img*_antispoof_score stay at their zero values.
+func (f *FaceDetect) FaceVerify(req *pb.FaceVerifyRequest) (pb.FaceVerifyResponse, error) {
+	if f.ctxPtr == 0 {
+		return pb.FaceVerifyResponse{}, errors.New("face-detect: model not loaded")
+	}
+	if req.Img1 == "" || req.Img2 == "" {
+		return pb.FaceVerifyResponse{}, errors.New("face-detect: img1 and img2 are required")
+	}
+
+	path1, cleanup1, err := materializeImage(req.Img1)
+	if err != nil {
+		return pb.FaceVerifyResponse{}, err
+	}
+	defer cleanup1()
+	path2, cleanup2, err := materializeImage(req.Img2)
+	if err != nil {
+		return pb.FaceVerifyResponse{}, err
+	}
+	defer cleanup2()
+
+	threshold := req.Threshold
+	if threshold <= 0 {
+		threshold = f.opts.verifyThreshold
+	}
+
+	antiSpoof := int32(0)
+	if req.AntiSpoofing {
+		antiSpoof = 1
+	}
+
+	started := time.Now()
+	var distance float32
+	var verified int32
+	rc := CppVerifyPaths(f.ctxPtr, path1, path2, threshold, antiSpoof,
+		unsafe.Pointer(&distance), unsafe.Pointer(&verified))
+	if rc != 0 {
+		return pb.FaceVerifyResponse{}, f.lastErr("verify", req.Img1[:min(8, len(req.Img1))]+"...")
+	}
+	elapsedMs := float32(time.Since(started).Seconds() * 1000.0)
+
+	// Confidence decays linearly from 100 at distance 0 to 0 at the threshold,
+	// matching the Python face backend's reporting.
+	confidence := float32(0)
+	if threshold > 0 {
+		confidence = float32(math.Max(0, math.Min(100, (1.0-float64(distance)/float64(threshold))*100.0)))
+	}
+
+	return pb.FaceVerifyResponse{
+		Verified:         verified != 0,
+		Distance:         distance,
+		Threshold:        threshold,
+		Confidence:       confidence,
+		Model:            f.opts.modelName,
+		Img1Area:         f.bestArea(path1),
+		Img2Area:         f.bestArea(path2),
+		ProcessingTimeMs: elapsedMs,
+	}, nil
+}
+
+// FaceAnalyze runs the genderage head on every detected face. The C-API returns
+// "M"/"F" gender labels and a rounded age; the labels are normalized to the
+// "Man"/"Woman" values the proto documents.
+func (f *FaceDetect) FaceAnalyze(req *pb.FaceAnalyzeRequest) (pb.FaceAnalyzeResponse, error) {
+	if f.ctxPtr == 0 {
+		return pb.FaceAnalyzeResponse{}, errors.New("face-detect: model not loaded")
+	}
+	if req.Img == "" {
+		return pb.FaceAnalyzeResponse{}, errors.New("face-detect: img is required")
+	}
+
+	path, cleanup, err := materializeImage(req.Img)
+	if err != nil {
+		return pb.FaceAnalyzeResponse{}, err
+	}
+	defer cleanup()
+
+	ptr := CppAnalyzeJSON(f.ctxPtr, path)
+	if ptr == 0 {
+		return pb.FaceAnalyzeResponse{}, f.lastErr("analyze", path)
+	}
+	defer CppFreeString(ptr)
+
+	faces, err := parseAnalyzeJSON(goStringFromCPtr(ptr))
+	if err != nil {
+		return pb.FaceAnalyzeResponse{}, fmt.Errorf("face-detect: analyze JSON: %w", err)
+	}
+	return pb.FaceAnalyzeResponse{Faces: faces}, nil
+}
+
+// faceBox is one entry of the detect/analyze JSON documents the engine emits.
+type faceBox struct {
+	Score  float32   `json:"score"`
+	Box    []float32 `json:"box"`
+	Age    float32   `json:"age"`
+	Gender string    `json:"gender"`
+}
+
+// xywh converts the engine's [x1,y1,x2,y2] box into the x/y/width/height the
+// proto carries. A short or missing box yields zeros.
+func (b faceBox) xywh() (x, y, w, h float32) {
+	if len(b.Box) < 4 {
+		return 0, 0, 0, 0
+	}
+	return b.Box[0], b.Box[1], b.Box[2] - b.Box[0], b.Box[3] - b.Box[1]
+}
+
+type facesJSON struct {
+	Faces []faceBox `json:"faces"`
+}
+
+func (f *FaceDetect) detectFaces(path string) ([]faceBox, error) {
+	ptr := CppDetectJSON(f.ctxPtr, path)
+	if ptr == 0 {
+		return nil, f.lastErr("detect", path)
+	}
+	defer CppFreeString(ptr)
+
+	var doc facesJSON
+	if err := json.Unmarshal([]byte(goStringFromCPtr(ptr)), &doc); err != nil {
+		return nil, fmt.Errorf("face-detect: detect JSON: %w", err)
+	}
+	return doc.Faces, nil
+}
+
+// bestArea returns the FacialArea of the highest-scoring face in an image, or an
+// empty area when detection fails or finds nothing. Best-effort: verify already
+// succeeded, so a missing region must not turn a valid match into an error.
+func (f *FaceDetect) bestArea(path string) *pb.FacialArea {
+	faces, err := f.detectFaces(path)
+	if err != nil || len(faces) == 0 {
+		return &pb.FacialArea{}
+	}
+	best := faces[0]
+	for _, fc := range faces[1:] {
+		if fc.Score > best.Score {
+			best = fc
+		}
+	}
+	x, y, w, h := best.xywh()
+	return &pb.FacialArea{X: x, Y: y, W: w, H: h}
+}
+
+// parseAnalyzeJSON maps the engine's analyze document onto FaceAnalysis entries.
+// The engine reports gender as "M"/"F"; both the dominant label and the score
+// map are filled with the "Man"/"Woman" form the proto documents.
+func parseAnalyzeJSON(doc string) ([]*pb.FaceAnalysis, error) {
+	var parsed facesJSON
+	if err := json.Unmarshal([]byte(doc), &parsed); err != nil {
+		return nil, err
+	}
+
+	out := make([]*pb.FaceAnalysis, 0, len(parsed.Faces))
+	for _, fc := range parsed.Faces {
+		x, y, w, h := fc.xywh()
+		fa := &pb.FaceAnalysis{
+			Region:         &pb.FacialArea{X: x, Y: y, W: w, H: h},
+			FaceConfidence: fc.Score,
+			Age:            fc.Age,
+		}
+		if label := normalizeGender(fc.Gender); label != "" {
+			fa.DominantGender = label
+			fa.Gender = map[string]float32{label: 1.0}
+		}
+		out = append(out, fa)
+	}
+	return out, nil
+}
+
+// normalizeGender maps the engine's "M"/"F" code to the "Man"/"Woman" labels the
+// proto documents. Unknown codes pass through unchanged.
+func normalizeGender(g string) string {
+	switch strings.ToUpper(strings.TrimSpace(g)) {
+	case "M":
+		return "Man"
+	case "F":
+		return "Woman"
+	case "":
+		return ""
+	default:
+		return g
+	}
+}
+
+// materializeImage decodes a base64 image payload into a temp file and returns
+// its path plus a cleanup func. As a convenience for callers that already pass a
+// filesystem path (e.g. a test fixture), an existing path is used as-is with a
+// no-op cleanup. data: URI prefixes are stripped before decoding.
+func materializeImage(src string) (path string, cleanup func(), err error) {
+	noop := func() {}
+	if src == "" {
+		return "", noop, errors.New("face-detect: empty image input")
+	}
+	if _, statErr := os.Stat(src); statErr == nil {
+		return src, noop, nil
+	}
+
+	payload := src
+	if i := strings.Index(payload, ","); strings.HasPrefix(payload, "data:") && i >= 0 {
+		payload = payload[i+1:]
+	}
+	data, decErr := base64.StdEncoding.DecodeString(strings.TrimSpace(payload))
+	if decErr != nil || len(data) == 0 {
+		return "", noop, errors.New("face-detect: image is neither an existing path nor valid base64")
+	}
+
+	tmp, createErr := os.CreateTemp("", "face-detect-*.img")
+	if createErr != nil {
+		return "", noop, fmt.Errorf("face-detect: create temp image: %w", createErr)
+	}
+	cleanup = func() { _ = os.Remove(tmp.Name()) }
+	if _, wErr := tmp.Write(data); wErr != nil {
+		_ = tmp.Close()
+		cleanup()
+		return "", noop, fmt.Errorf("face-detect: write temp image: %w", wErr)
+	}
+	if cErr := tmp.Close(); cErr != nil {
+		cleanup()
+		return "", noop, fmt.Errorf("face-detect: close temp image: %w", cErr)
+	}
+	return tmp.Name(), cleanup, nil
+}
+
+// lastErr wraps the C-API's per-ctx last-error buffer into a Go error.
+func (f *FaceDetect) lastErr(op, subject string) error {
+	msg := strings.TrimSpace(CppLastError(f.ctxPtr))
+	if msg == "" {
+		msg = "no error detail"
+	}
+	return fmt.Errorf("face-detect: %s failed for %q: %s", op, subject, msg)
+}
+
+// goStringFromCPtr copies a NUL-terminated C string into Go memory. cptr is a
+// malloc'd buffer the caller owns; release it via CppFreeString after the copy.
+//
+// The uintptr->Pointer conversion trips vet's unsafeptr check, which can't tell
+// a C heap pointer from Go-managed memory. Safe here: the GC neither tracks nor
+// moves the buffer and we dereference it immediately to copy the bytes out.
+func goStringFromCPtr(cptr uintptr) string {
+	if cptr == 0 {
+		return ""
+	}
+	p := unsafe.Pointer(cptr) //nolint:govet // C-owned malloc'd buffer, not Go-GC memory (see doc above)
+	n := 0
+	for *(*byte)(unsafe.Add(p, n)) != 0 {
+		n++
+	}
+	return string(unsafe.Slice((*byte)(p), n))
+}

backend/go/face-detect/gofacedetect_test.go

@@ -0,0 +1,230 @@
+package main
+
+import (
+	"encoding/base64"
+	"os"
+	"sync"
+	"testing"
+
+	"github.com/ebitengine/purego"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
+	. "github.com/onsi/ginkgo/v2"
+	. "github.com/onsi/gomega"
+)
+
+func TestFaceDetect(t *testing.T) {
+	RegisterFailHandler(Fail)
+	RunSpecs(t, "face-detect Backend Suite")
+}
+
+var (
+	libLoadOnce sync.Once
+	libLoadErr  error
+)
+
+// ensureLibLoaded mirrors main.go's bootstrap so a Go test can drive the C-API
+// bridge without spinning up the gRPC server. Records the error (the smoke
+// specs skip themselves) when libfacedetect.so is not loadable from cwd
+// (LD_LIBRARY_PATH or a symlink in ./).
+func ensureLibLoaded() error {
+	libLoadOnce.Do(func() {
+		libName := os.Getenv("FACEDETECT_LIBRARY")
+		if libName == "" {
+			libName = "libfacedetect.so"
+		}
+		lib, err := purego.Dlopen(libName, purego.RTLD_NOW|purego.RTLD_GLOBAL)
+		if err != nil {
+			libLoadErr = err
+			return
+		}
+		purego.RegisterLibFunc(&CppAbiVersion, lib, "facedetect_capi_abi_version")
+		purego.RegisterLibFunc(&CppLoad, lib, "facedetect_capi_load")
+		purego.RegisterLibFunc(&CppFree, lib, "facedetect_capi_free")
+		purego.RegisterLibFunc(&CppLastError, lib, "facedetect_capi_last_error")
+		purego.RegisterLibFunc(&CppFreeString, lib, "facedetect_capi_free_string")
+		purego.RegisterLibFunc(&CppFreeVec, lib, "facedetect_capi_free_vec")
+		purego.RegisterLibFunc(&CppEmbedPath, lib, "facedetect_capi_embed_path")
+		purego.RegisterLibFunc(&CppEmbedRGB, lib, "facedetect_capi_embed_rgb")
+		purego.RegisterLibFunc(&CppDetectJSON, lib, "facedetect_capi_detect_path_json")
+		purego.RegisterLibFunc(&CppVerifyPaths, lib, "facedetect_capi_verify_paths")
+		purego.RegisterLibFunc(&CppAnalyzeJSON, lib, "facedetect_capi_analyze_path_json")
+	})
+	return libLoadErr
+}
+
+var _ = Describe("parseOptions", func() {
+	It("defaults verify_threshold to 0.35", func() {
+		o := parseOptions(nil)
+		Expect(o.verifyThreshold).To(Equal(float32(0.35)))
+		Expect(o.modelName).To(Equal(""))
+	})
+
+	It("parses verify_threshold, threshold alias and model_name", func() {
+		o := parseOptions([]string{"verify_threshold:0.4", "model_name:buffalo_l", "unknown:x"})
+		Expect(o.verifyThreshold).To(Equal(float32(0.4)))
+		Expect(o.modelName).To(Equal("buffalo_l"))
+
+		o2 := parseOptions([]string{"threshold:0.3"})
+		Expect(o2.verifyThreshold).To(Equal(float32(0.3)))
+	})
+
+	It("ignores non-positive thresholds and keeps the default", func() {
+		o := parseOptions([]string{"verify_threshold:0", "threshold:-1"})
+		Expect(o.verifyThreshold).To(Equal(float32(0.35)))
+	})
+})
+
+var _ = Describe("normalizeGender", func() {
+	It("maps M/F codes to Man/Woman", func() {
+		Expect(normalizeGender("M")).To(Equal("Man"))
+		Expect(normalizeGender("f")).To(Equal("Woman"))
+		Expect(normalizeGender(" m ")).To(Equal("Man"))
+	})
+
+	It("passes empty and unknown codes through", func() {
+		Expect(normalizeGender("")).To(Equal(""))
+		Expect(normalizeGender("nonbinary")).To(Equal("nonbinary"))
+	})
+})
+
+var _ = Describe("faceBox.xywh", func() {
+	It("converts an [x1,y1,x2,y2] box to x/y/width/height", func() {
+		b := faceBox{Box: []float32{10, 20, 50, 80}}
+		x, y, w, h := b.xywh()
+		Expect(x).To(Equal(float32(10)))
+		Expect(y).To(Equal(float32(20)))
+		Expect(w).To(Equal(float32(40)))
+		Expect(h).To(Equal(float32(60)))
+	})
+
+	It("returns zeros for a short box", func() {
+		x, y, w, h := faceBox{Box: []float32{1, 2}}.xywh()
+		Expect([]float32{x, y, w, h}).To(Equal([]float32{0, 0, 0, 0}))
+	})
+})
+
+var _ = Describe("parseAnalyzeJSON", func() {
+	It("maps region, age and gender for each face", func() {
+		doc := `{"faces":[
+			{"score":0.997,"box":[10,20,50,80],"age":31,"gender":"M"},
+			{"score":0.81,"box":[0,0,40,40],"age":24,"gender":"F"}]}`
+		faces, err := parseAnalyzeJSON(doc)
+		Expect(err).ToNot(HaveOccurred())
+		Expect(faces).To(HaveLen(2))
+
+		Expect(faces[0].FaceConfidence).To(BeNumerically("~", 0.997, 1e-4))
+		Expect(faces[0].Age).To(BeNumerically("~", 31, 1e-4))
+		Expect(faces[0].DominantGender).To(Equal("Man"))
+		Expect(faces[0].Gender).To(HaveKeyWithValue("Man", float32(1.0)))
+		Expect(faces[0].Region.W).To(Equal(float32(40)))
+		Expect(faces[0].Region.H).To(Equal(float32(60)))
+
+		Expect(faces[1].DominantGender).To(Equal("Woman"))
+	})
+
+	It("tolerates a missing gender field", func() {
+		faces, err := parseAnalyzeJSON(`{"faces":[{"score":0.5,"box":[0,0,10,10],"age":40}]}`)
+		Expect(err).ToNot(HaveOccurred())
+		Expect(faces).To(HaveLen(1))
+		Expect(faces[0].DominantGender).To(Equal(""))
+		Expect(faces[0].Gender).To(BeEmpty())
+	})
+
+	It("returns no faces for an empty document", func() {
+		faces, err := parseAnalyzeJSON(`{"faces":[]}`)
+		Expect(err).ToNot(HaveOccurred())
+		Expect(faces).To(BeEmpty())
+	})
+
+	It("returns an error on malformed JSON", func() {
+		_, err := parseAnalyzeJSON(`{not-json`)
+		Expect(err).To(HaveOccurred())
+	})
+})
+
+var _ = Describe("materializeImage", func() {
+	It("decodes a base64 payload to a temp file", func() {
+		payload := base64.StdEncoding.EncodeToString([]byte("\xff\xd8\xff\xe0fake-jpeg"))
+		path, cleanup, err := materializeImage(payload)
+		Expect(err).ToNot(HaveOccurred())
+		defer cleanup()
+		data, rerr := os.ReadFile(path)
+		Expect(rerr).ToNot(HaveOccurred())
+		Expect(data).To(Equal([]byte("\xff\xd8\xff\xe0fake-jpeg")))
+	})
+
+	It("strips a data: URI prefix before decoding", func() {
+		payload := "data:image/png;base64," + base64.StdEncoding.EncodeToString([]byte("hello"))
+		path, cleanup, err := materializeImage(payload)
+		Expect(err).ToNot(HaveOccurred())
+		defer cleanup()
+		data, rerr := os.ReadFile(path)
+		Expect(rerr).ToNot(HaveOccurred())
+		Expect(data).To(Equal([]byte("hello")))
+	})
+
+	It("uses an existing path as-is", func() {
+		tmp, err := os.CreateTemp("", "face-detect-fixture-*.bin")
+		Expect(err).ToNot(HaveOccurred())
+		defer func() { _ = os.Remove(tmp.Name()) }()
+		Expect(tmp.Close()).To(Succeed())
+
+		path, cleanup, err := materializeImage(tmp.Name())
+		Expect(err).ToNot(HaveOccurred())
+		defer cleanup()
+		Expect(path).To(Equal(tmp.Name()))
+	})
+
+	It("errors on input that is neither a path nor base64", func() {
+		_, _, err := materializeImage("not base64!!!")
+		Expect(err).To(HaveOccurred())
+	})
+})
+
+// The specs below exercise the real C-API end to end. They run only when both a
+// model GGUF and a test image are provided, and skip cleanly otherwise so the
+// suite stays green without large assets.
+var _ = Describe("FaceDetect end-to-end", Ordered, func() {
+	var (
+		f         *FaceDetect
+		modelPath = os.Getenv("FACEDETECT_BACKEND_TEST_MODEL")
+		imagePath = os.Getenv("FACEDETECT_BACKEND_TEST_IMAGE")
+	)
+
+	BeforeAll(func() {
+		if modelPath == "" || imagePath == "" {
+			Skip("set FACEDETECT_BACKEND_TEST_MODEL and FACEDETECT_BACKEND_TEST_IMAGE to run the e2e specs")
+		}
+		if err := ensureLibLoaded(); err != nil {
+			Skip("libfacedetect.so not loadable: " + err.Error())
+		}
+		f = &FaceDetect{}
+		Expect(f.Load(&pb.ModelOptions{ModelFile: modelPath})).To(Succeed())
+	})
+
+	It("embeds the primary face in an image", func() {
+		emb, err := f.Embeddings(&pb.PredictOptions{Images: []string{imagePath}})
+		Expect(err).ToNot(HaveOccurred())
+		Expect(emb).ToNot(BeEmpty())
+	})
+
+	It("detects at least one face", func() {
+		resp, err := f.Detect(&pb.DetectOptions{Src: imagePath})
+		Expect(err).ToNot(HaveOccurred())
+		Expect(resp.Detections).ToNot(BeEmpty())
+		Expect(resp.Detections[0].ClassName).To(Equal("face"))
+	})
+
+	It("verifies an image against itself as the same identity", func() {
+		resp, err := f.FaceVerify(&pb.FaceVerifyRequest{Img1: imagePath, Img2: imagePath})
+		Expect(err).ToNot(HaveOccurred())
+		Expect(resp.Verified).To(BeTrue())
+		Expect(resp.Distance).To(BeNumerically("<=", resp.Threshold))
+	})
+
+	It("analyzes age/gender for each face", func() {
+		resp, err := f.FaceAnalyze(&pb.FaceAnalyzeRequest{Img: imagePath})
+		Expect(err).ToNot(HaveOccurred())
+		Expect(resp.Faces).ToNot(BeEmpty())
+	})
+})

backend/go/face-detect/main.go

@@ -0,0 +1,65 @@
+package main
+
+// Started internally by LocalAI - one gRPC server per loaded model.
+//
+// Loads libfacedetect.so via purego and registers the flat C-API entry points
+// declared in facedetect_capi.h. The library name can be overridden with
+// FACEDETECT_LIBRARY (mirrors the VOICEDETECT_LIBRARY / PARAKEET_LIBRARY
+// convention in the sibling backends); the default looks for the .so next to
+// this binary (resolved via LD_LIBRARY_PATH by run.sh).
+import (
+	"flag"
+	"fmt"
+	"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() {
+	libName := os.Getenv("FACEDETECT_LIBRARY")
+	if libName == "" {
+		libName = "libfacedetect.so"
+	}
+
+	lib, err := purego.Dlopen(libName, purego.RTLD_NOW|purego.RTLD_GLOBAL)
+	if err != nil {
+		panic(fmt.Errorf("face-detect: dlopen %q: %w", libName, err))
+	}
+
+	// Bound 1:1 to facedetect_capi.h. char*/float* returns are registered as
+	// uintptr so the raw pointer can be freed via the matching capi free fn.
+	libFuncs := []LibFuncs{
+		{&CppAbiVersion, "facedetect_capi_abi_version"},
+		{&CppLoad, "facedetect_capi_load"},
+		{&CppFree, "facedetect_capi_free"},
+		{&CppLastError, "facedetect_capi_last_error"},
+		{&CppFreeString, "facedetect_capi_free_string"},
+		{&CppFreeVec, "facedetect_capi_free_vec"},
+		{&CppEmbedPath, "facedetect_capi_embed_path"},
+		{&CppEmbedRGB, "facedetect_capi_embed_rgb"},
+		{&CppDetectJSON, "facedetect_capi_detect_path_json"},
+		{&CppVerifyPaths, "facedetect_capi_verify_paths"},
+		{&CppAnalyzeJSON, "facedetect_capi_analyze_path_json"},
+	}
+	for _, lf := range libFuncs {
+		purego.RegisterLibFunc(lf.FuncPtr, lib, lf.Name)
+	}
+
+	fmt.Fprintf(os.Stderr, "[face-detect] ABI=%d\n", CppAbiVersion())
+
+	flag.Parse()
+
+	if err := grpc.StartServer(*addr, &FaceDetect{}); err != nil {
+		panic(err)
+	}
+}

backend/go/face-detect/options.go

@@ -0,0 +1,47 @@
+package main
+
+import (
+	"strconv"
+	"strings"
+)
+
+// defaultVerifyThreshold is the cosine-distance cutoff used when a request does
+// not set one. Matches the insightface buffalo_l ArcFace R50 default the Python
+// face backend ships with so the two implementations agree on verdicts out of
+// the box.
+const defaultVerifyThreshold float32 = 0.35
+
+// loadOptions holds the parsed model-level options for face-detect.
+type loadOptions struct {
+	verifyThreshold float32
+	modelName       string
+}
+
+func splitOption(o string) (key, value string, ok bool) {
+	i := strings.Index(o, ":")
+	if i < 0 {
+		return "", "", false
+	}
+	return strings.TrimSpace(o[:i]), strings.TrimSpace(o[i+1:]), true
+}
+
+// parseOptions reads the backend "key:value" option slice. Unknown keys are
+// ignored. Defaults: verify_threshold 0.35, model_name derived from the file.
+func parseOptions(opts []string) loadOptions {
+	o := loadOptions{verifyThreshold: defaultVerifyThreshold}
+	for _, oo := range opts {
+		key, value, ok := splitOption(oo)
+		if !ok {
+			continue
+		}
+		switch key {
+		case "verify_threshold", "threshold":
+			if f, err := strconv.ParseFloat(value, 32); err == nil && f > 0 {
+				o.verifyThreshold = float32(f)
+			}
+		case "model_name":
+			o.modelName = value
+		}
+	}
+	return o
+}

backend/go/face-detect/package.sh

@@ -0,0 +1,68 @@
+#!/bin/bash
+#
+# Bundle the face-detect-grpc binary, libfacedetect.so, the core runtime libs
+# (libc/libstdc++/libgomp + ld.so) and the GPU runtime for the active BUILD_TYPE
+# so the package is self-contained. Mirrors backend/go/voice-detect/package.sh;
+# run.sh routes the (CGO_ENABLED=0) binary through lib/ld.so so the packaged libc
+# is used instead of the host's.
+
+set -e
+
+CURDIR=$(dirname "$(realpath "$0")")
+REPO_ROOT="${CURDIR}/../../.."
+
+mkdir -p "$CURDIR/package/lib"
+
+cp -avf "$CURDIR/face-detect-grpc" "$CURDIR/package/"
+cp -avf "$CURDIR/run.sh" "$CURDIR/package/"
+
+# libfacedetect.so + any soname symlinks. purego.Dlopen resolves it via
+# LD_LIBRARY_PATH, which run.sh points at lib/.
+cp -avf "$CURDIR"/libfacedetect.so* "$CURDIR/package/lib/" 2>/dev/null || {
+	echo "ERROR: libfacedetect.so not found in $CURDIR, run 'make' first" >&2
+	exit 1
+}
+
+# Detect architecture and copy the core runtime libs libfacedetect.so links
+# against, plus the matching dynamic loader as lib/ld.so.
+if [ -f "/lib64/ld-linux-x86-64.so.2" ]; then
+    echo "Detected x86_64 architecture, copying x86_64 libraries..."
+    cp -arfLv /lib64/ld-linux-x86-64.so.2 "$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
+    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 (CUDA/ROCm/Intel/Vulkan loader + ICDs + drivers) based on
+# BUILD_TYPE so the backend can reach the GPU without the runtime base image
+# shipping those drivers.
+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/" "$CURDIR/package/lib/"

backend/go/face-detect/run.sh

@@ -0,0 +1,16 @@
+#!/bin/bash
+set -e
+
+CURDIR=$(dirname "$(realpath "$0")")
+
+export LD_LIBRARY_PATH="$CURDIR/lib:$CURDIR:${LD_LIBRARY_PATH:-}"
+
+# If a self-contained ld.so was packaged, route through it so the packaged
+# libc / libstdc++ are used instead of the host's (matches the voice-detect /
+# whisper / parakeet backends' runtime layout).
+if [ -f "$CURDIR/lib/ld.so" ]; then
+	echo "Using lib/ld.so"
+	exec "$CURDIR/lib/ld.so" "$CURDIR/face-detect-grpc" "$@"
+fi
+
+exec "$CURDIR/face-detect-grpc" "$@"

backend/go/face-detect/test.sh

@@ -0,0 +1,15 @@
+#!/bin/bash
+set -e
+
+CURDIR=$(dirname "$(realpath "$0")")
+cd "$CURDIR"
+
+echo "Running face-detect backend tests..."
+
+# The pure-Go parsing specs always run. The embed/detect/verify/analyze smoke
+# specs run only when a model + image are provided via
+# FACEDETECT_BACKEND_TEST_MODEL and FACEDETECT_BACKEND_TEST_IMAGE; otherwise they
+# auto-skip.
+LD_LIBRARY_PATH="$CURDIR:${LD_LIBRARY_PATH:-}" go test -v -timeout 1200s .
+
+echo "face-detect tests completed."

backend/go/local-store/store.go

@@ -22,6 +22,7 @@ import (
 	"fmt"
 	"math"
 	"slices"
+	"strings"
 
 	"github.com/mudler/LocalAI/pkg/grpc/base"
 	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
@@ -57,12 +58,18 @@ func NewStore() *Store {
 	}
 }
 
-// Load is a no-op — local-store has no on-disk artefact. opts.Model is
-// just a namespace identifier; isolation is already handled upstream
-// (ModelLoader spawns a fresh local-store process per (backend,
-// model) tuple, so each namespace is its own Store{} instance).
+// Load only validates the namespace — local-store has no on-disk
+// artefact. opts.Model is a namespace identifier, which core's
+// StoreBackend always sends with store.NamespacePrefix; anything else
+// is the model loader's greedy autoload probing with a real model name,
+// which must be refused or the LLM binds to the vector store. Isolation
+// is already handled upstream (ModelLoader spawns a fresh local-store
+// process per (backend, model) tuple, so each namespace is its own
+// Store{} instance).
 func (s *Store) Load(opts *pb.ModelOptions) error {
-	_ = opts
+	if !strings.HasPrefix(opts.GetModel(), store.NamespacePrefix) {
+		return fmt.Errorf("local-store: refusing to load %q: not a store namespace (expected %q prefix)", opts.GetModel(), store.NamespacePrefix)
+	}
 	return nil
 }
 

backend/go/local-store/store_test.go

@@ -12,6 +12,7 @@ import (
 	"testing"
 
 	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
+	"github.com/mudler/LocalAI/pkg/store"
 
 	. "github.com/onsi/ginkgo/v2"
 	. "github.com/onsi/gomega"
@@ -186,8 +187,18 @@ var _ = Describe("StoresFind", func() {
 })
 
 var _ = Describe("StoresLoad", func() {
-	It("is a no-op", func() {
-		Expect(NewStore().Load(&pb.ModelOptions{Model: "any-namespace"})).To(Succeed())
+	It("accepts prefixed store namespaces", func() {
+		Expect(NewStore().Load(&pb.ModelOptions{Model: store.NamespacePrefix + "any-namespace"})).To(Succeed())
+	})
+
+	It("accepts the prefix alone (default store)", func() {
+		Expect(NewStore().Load(&pb.ModelOptions{Model: store.NamespacePrefix})).To(Succeed())
+	})
+
+	It("refuses model names without the namespace prefix", func() {
+		err := NewStore().Load(&pb.ModelOptions{Model: "some-llm.gguf"})
+		Expect(err).To(MatchError(ContainSubstring("not a store namespace")))
+		Expect(NewStore().Load(&pb.ModelOptions{})).NotTo(Succeed())
 	})
 })
 

backend/go/locate-anything-cpp/Makefile

@@ -10,7 +10,7 @@ JOBS?=$(shell nproc --ignore=1)
 # this on `master` always picks up the latest C-API surface (incl. the
 # per-detection accessor functions used by golocateanythingcpp.go).
 LOCATEANYTHING_REPO?=https://github.com/mudler/locate-anything.cpp.git
-LOCATEANYTHING_VERSION?=92c1682da792c1e8a5dec91acc2be4b02c742ded
+LOCATEANYTHING_VERSION?=ade2634f7f79b56121125e5885628744795a478f
 
 ifeq ($(NATIVE),false)
 	CMAKE_ARGS+=-DGGML_NATIVE=OFF

backend/go/moss-transcribe-cpp/.gitignore

@@ -0,0 +1,12 @@
+.cache/
+sources/
+build/
+package/
+moss-transcribe-cpp-grpc
+# build artifacts staged in-tree by the Makefile (cp from sources/) or
+# symlinked for local dev; the real sources live in moss-transcribe.cpp upstream.
+*.so
+*.so.*
+*.dylib
+moss_transcribe_capi.h
+compile_commands.json

backend/go/moss-transcribe-cpp/Makefile

@@ -0,0 +1,98 @@
+# moss-transcribe-cpp backend Makefile.
+#
+# Upstream pin lives below as MOSS_VERSION?=92a923dca88a41a34e47a364d55ee25731a9a0a2
+# (.github/bump_deps.sh) can find and update it - matches the
+# whisper.cpp / parakeet-cpp / ds4 convention.
+#
+# Local dev shortcut: if you already have an out-of-tree moss-transcribe.cpp
+# build, you can symlink the .so + header into this directory and skip the
+# clone/cmake steps entirely, e.g.:
+#
+#   ln -sf /path/to/moss-transcribe.cpp/build-shared/libmoss-transcribe.so .
+#   ln -sf /path/to/moss-transcribe.cpp/include/moss_transcribe_capi.h .
+#   go build -o moss-transcribe-cpp-grpc .
+#
+# That's what the L0 smoke test uses. The default target below does the proper
+# clone-at-pin + cmake build so CI doesn't need a side-checkout.
+
+MOSS_VERSION?=92a923dca88a41a34e47a364d55ee25731a9a0a2
+MOSS_REPO?=https://github.com/mudler/moss-transcribe.cpp
+
+GOCMD?=go
+GO_TAGS?=
+JOBS?=$(shell nproc 2>/dev/null || sysctl -n hw.ncpu 2>/dev/null || echo 4)
+
+BUILD_TYPE?=
+NATIVE?=false
+
+# Build ggml statically into libmoss-transcribe.so (PIC) so the shared lib is
+# self-contained: dlopen needs no libggml*.so alongside it, only system libs
+# (libstdc++/libgomp/libc) that the runtime image already provides. MT_SHARED
+# flips ggml to a static PIC build (see the moss-transcribe.cpp CMakeLists).
+CMAKE_ARGS?=-DCMAKE_BUILD_TYPE=Release -DMT_SHARED=ON -DMT_BUILD_CLI=OFF -DBUILD_SHARED_LIBS=OFF -DCMAKE_POSITION_INDEPENDENT_CODE=ON
+
+ifeq ($(NATIVE),false)
+	CMAKE_ARGS+=-DGGML_NATIVE=OFF
+endif
+
+# moss-transcribe.cpp gates its GGML backends behind MT_GGML_* options and does
+# set(GGML_<be> ${MT_GGML_<be>} CACHE BOOL "" FORCE), so a bare -DGGML_CUDA=ON is
+# overwritten back to OFF and the build silently falls back to CPU. Forward the
+# MT_GGML_* options instead (openblas is not gated, so -DGGML_BLAS passes through).
+ifeq ($(BUILD_TYPE),cublas)
+	CMAKE_ARGS+=-DMT_GGML_CUDA=ON -DGGML_CUDA_GRAPHS=ON
+else ifeq ($(BUILD_TYPE),openblas)
+	CMAKE_ARGS+=-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
+else ifeq ($(BUILD_TYPE),hipblas)
+	CMAKE_ARGS+=-DMT_GGML_HIP=ON
+else ifeq ($(BUILD_TYPE),vulkan)
+	CMAKE_ARGS+=-DMT_GGML_VULKAN=ON
+else ifeq ($(BUILD_TYPE),metal)
+	CMAKE_ARGS+=-DMT_GGML_METAL=ON
+endif
+
+.PHONY: moss-transcribe-cpp-grpc package build clean purge test all
+
+all: moss-transcribe-cpp-grpc
+
+# Clone the upstream moss-transcribe.cpp source at the pinned commit. Directory
+# acts as the target so make only re-clones when missing. After a MOSS_VERSION
+# bump, run 'make purge && make' to refetch.
+sources/moss-transcribe.cpp:
+	mkdir -p sources/moss-transcribe.cpp
+	cd sources/moss-transcribe.cpp && \
+	git init -q && \
+	git remote add origin $(MOSS_REPO) && \
+	git fetch --depth 1 origin $(MOSS_VERSION) && \
+	git checkout FETCH_HEAD && \
+	git submodule update --init --recursive --depth 1 --single-branch
+
+# Build the shared lib + header out-of-tree, then stage them next to the Go
+# sources so purego.Dlopen("libmoss-transcribe.so") and the cgo-less build both
+# pick them up.
+libmoss-transcribe.so: sources/moss-transcribe.cpp
+	cmake -B sources/moss-transcribe.cpp/build-shared -S sources/moss-transcribe.cpp $(CMAKE_ARGS)
+	cmake --build sources/moss-transcribe.cpp/build-shared --config Release -j$(JOBS)
+	cp -fv sources/moss-transcribe.cpp/build-shared/libmoss-transcribe.so* ./ 2>/dev/null || true
+	cp -fv sources/moss-transcribe.cpp/build-shared/libmoss-transcribe.dylib ./ 2>/dev/null || true
+	cp -fv sources/moss-transcribe.cpp/include/moss_transcribe_capi.h ./
+
+moss-transcribe-cpp-grpc: libmoss-transcribe.so main.go gomosstranscribecpp.go segments.go
+	CGO_ENABLED=0 $(GOCMD) build -tags "$(GO_TAGS)" -o moss-transcribe-cpp-grpc .
+
+package: moss-transcribe-cpp-grpc
+	bash package.sh
+
+build: package
+
+# Test target. The model-backed smoke test is gated on
+# MOSS_BACKEND_TEST_MODEL + MOSS_BACKEND_TEST_WAV; without them that spec
+# auto-skips, leaving the pure-Go parser/unit tests.
+test:
+	LD_LIBRARY_PATH=$(CURDIR):$$LD_LIBRARY_PATH $(GOCMD) test ./... -count=1
+
+clean: purge
+	rm -rf libmoss-transcribe.so* moss_transcribe_capi.h package moss-transcribe-cpp-grpc
+
+purge:
+	rm -rf sources/moss-transcribe.cpp

backend/go/moss-transcribe-cpp/gomosstranscribecpp.go

@@ -0,0 +1,179 @@
+package main
+
+import (
+	"context"
+	"errors"
+	"fmt"
+	"os"
+	"path/filepath"
+	"strconv"
+	"strings"
+	"unsafe"
+
+	"github.com/mudler/LocalAI/pkg/grpc/base"
+	"github.com/mudler/LocalAI/pkg/grpc/grpcerrors"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
+	"github.com/mudler/LocalAI/pkg/utils"
+	"google.golang.org/grpc/codes"
+	"google.golang.org/grpc/status"
+)
+
+// purego-bound entry points from libmoss-transcribe.so. Names match
+// moss_transcribe_capi.h exactly so a `nm libmoss-transcribe.so | grep
+// moss_transcribe_capi` is enough to spot drift.
+//
+// The transcribe_* functions return char* declared here as uintptr so we can
+// call moss_transcribe_capi_free_string on the same pointer after copying: the
+// C-API contract is "caller owns and must free the returned buffer".
+var (
+	CppAbiVersion     func() int32
+	CppLoad           func(ggufPath string) uintptr
+	CppFree           func(ctx uintptr)
+	CppTranscribePath func(ctx uintptr, wavPath string, maxNew int32) uintptr
+	CppTranscribePcm  func(ctx uintptr, samples []float32, nSamples int32, sampleRate int32, maxNew int32) uintptr
+	CppFreeString     func(s uintptr)
+	CppLastError      func(ctx uintptr) string
+)
+
+// MossTranscribeCpp owns a single loaded moss_transcribe_ctx. MOSS is an
+// offline transcription + diarization + timestamping engine: one model, one
+// context, no streaming. The C engine holds a single mutable context and is
+// not reentrant, so we embed base.SingleThread — LocalAI serialises every RPC
+// through the server-level lock, and only one transcription touches the engine
+// at a time.
+type MossTranscribeCpp struct {
+	base.SingleThread
+	ctxPtr uintptr
+	maxNew int32
+}
+
+// Load is the LocalAI gRPC entry point for LoadModel: it calls
+// moss_transcribe_capi_load with the GGUF path and stashes the resulting
+// opaque context pointer for AudioTranscription.
+func (m *MossTranscribeCpp) Load(opts *pb.ModelOptions) error {
+	if opts.ModelFile == "" {
+		return errors.New("moss-transcribe-cpp: ModelFile is required")
+	}
+
+	// max_new_tokens caps the generated tokens per transcription; <=0 uses the
+	// GGUF's default_max_new_tokens (the C-API's own default). Exposed as a
+	// model YAML option: (key:value form, like the sibling ggml backends).
+	m.maxNew = int32(optInt(opts, "max_new_tokens", 0))
+
+	ctx := CppLoad(opts.ModelFile)
+	if ctx == 0 {
+		// No ctx to ask for last_error (the C-API's last-error buffer lives on
+		// the ctx that was never returned). Surface the path so the operator at
+		// least knows which load failed.
+		return fmt.Errorf("moss-transcribe-cpp: moss_transcribe_capi_load failed for %q", opts.ModelFile)
+	}
+	m.ctxPtr = ctx
+	return nil
+}
+
+// optInt reads an integer model option (key:value form) from ModelOptions,
+// returning def when absent or unparseable. The options array carries the
+// model YAML's options: entries (see core/config; siblings such as parakeet-cpp
+// parse the same key:value form via strings.Cut on ":").
+func optInt(opts *pb.ModelOptions, key string, def int) int {
+	for _, o := range opts.GetOptions() {
+		k, v, ok := strings.Cut(o, ":")
+		if ok && strings.TrimSpace(k) == key {
+			if n, err := strconv.Atoi(strings.TrimSpace(v)); err == nil {
+				return n
+			}
+		}
+	}
+	return def
+}
+
+// AudioTranscription converts the audio at opts.Dst to a 16 kHz mono WAV and
+// hands the path to moss_transcribe_capi_transcribe_path. The model emits its
+// own speaker-labelled, time-aligned transcript in the compact
+// "[start][Sxx]text[end]..." format (seconds); we parse it into LocalAI
+// TranscriptSegments carrying int64-nanosecond timestamps and the per-segment
+// speaker label.
+//
+// MOSS does joint transcription + diarization + timestamps in one pass, so
+// translate/language/prompt/temperature/threads are not applicable and are
+// ignored. Streaming is not supported (offline model).
+func (m *MossTranscribeCpp) AudioTranscription(ctx context.Context, opts *pb.TranscriptRequest) (pb.TranscriptResult, error) {
+	if m.ctxPtr == 0 {
+		return pb.TranscriptResult{}, grpcerrors.ModelNotLoaded("moss-transcribe-cpp")
+	}
+	if opts.Dst == "" {
+		return pb.TranscriptResult{}, errors.New("moss-transcribe-cpp: TranscriptRequest.dst (audio path) is required")
+	}
+	if err := ctx.Err(); err != nil {
+		return pb.TranscriptResult{}, status.Error(codes.Canceled, "transcription cancelled")
+	}
+
+	// The C loader understands WAV; convert any input (MP3, etc.) to 16 kHz
+	// mono WAV first - the same normalisation every other audio backend
+	// (whisper, parakeet-cpp) does via utils.AudioToWav before handing the file
+	// to the engine.
+	converted, cleanup, err := convertToWavMono16k(opts.Dst)
+	if err != nil {
+		return pb.TranscriptResult{}, err
+	}
+	defer cleanup()
+
+	cstr := CppTranscribePath(m.ctxPtr, converted, m.maxNew)
+	if cstr == 0 {
+		return pb.TranscriptResult{}, fmt.Errorf("moss-transcribe-cpp: transcribe_path failed: %s", CppLastError(m.ctxPtr))
+	}
+	raw := goStringFromCPtr(cstr)
+	CppFreeString(cstr)
+
+	return transcriptResultFromRaw(raw), nil
+}
+
+// Free releases the underlying moss_transcribe_ctx. Called by LocalAI when the
+// model is unloaded.
+func (m *MossTranscribeCpp) Free() error {
+	if m.ctxPtr != 0 {
+		CppFree(m.ctxPtr)
+		m.ctxPtr = 0
+	}
+	return nil
+}
+
+// convertToWavMono16k converts an arbitrary audio file to a 16 kHz mono WAV in
+// a fresh temp dir and returns the path together with a cleanup func the caller
+// must defer. WAV inputs already at 16 kHz/mono/16-bit are passed through by
+// utils.AudioToWav (hardlink/copy), everything else is transcoded via ffmpeg.
+func convertToWavMono16k(path string) (string, func(), error) {
+	dir, err := os.MkdirTemp("", "moss-transcribe")
+	if err != nil {
+		return "", func() {}, err
+	}
+	cleanup := func() { _ = os.RemoveAll(dir) }
+
+	converted := filepath.Join(dir, "converted.wav")
+	if err := utils.AudioToWav(path, converted); err != nil {
+		cleanup()
+		return "", func() {}, err
+	}
+	return converted, cleanup, nil
+}
+
+// goStringFromCPtr copies a NUL-terminated C string into Go memory. cptr is the
+// raw pointer returned by purego from the C-API (a malloc'd buffer the caller
+// owns); callers must free it via CppFreeString after the copy lands.
+//
+// The uintptr->unsafe.Pointer conversion below trips go vet's unsafeptr check,
+// which can't distinguish a C-owned heap pointer from Go-managed memory. It is
+// safe here: the pointer addresses a malloc'd C buffer the Go GC neither tracks
+// nor moves, and we dereference it immediately to copy the bytes out (the same
+// pattern the whisper / parakeet-cpp backends use).
+func goStringFromCPtr(cptr uintptr) string {
+	if cptr == 0 {
+		return ""
+	}
+	p := unsafe.Pointer(cptr) //nolint:govet // C-owned malloc'd buffer, not Go-GC memory (see doc above)
+	n := 0
+	for *(*byte)(unsafe.Add(p, n)) != 0 {
+		n++
+	}
+	return string(unsafe.Slice((*byte)(p), n))
+}

backend/go/moss-transcribe-cpp/gomosstranscribecpp_test.go

@@ -0,0 +1,164 @@
+package main
+
+import (
+	"context"
+	"os"
+	"path/filepath"
+	"strings"
+	"sync"
+	"testing"
+
+	"github.com/ebitengine/purego"
+	"github.com/go-audio/audio"
+	"github.com/go-audio/wav"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
+	. "github.com/onsi/ginkgo/v2"
+	. "github.com/onsi/gomega"
+)
+
+func TestMossTranscribeCpp(t *testing.T) {
+	RegisterFailHandler(Fail)
+	RunSpecs(t, "moss-transcribe-cpp Backend Suite")
+}
+
+var (
+	libLoadOnce sync.Once
+	libLoadErr  error
+)
+
+// ensureLibLoaded mirrors main.go's bootstrap so a Go test can drive the C-API
+// bridge without spinning up the gRPC server. Skips the current spec when
+// libmoss-transcribe.so isn't loadable from cwd ($LD_LIBRARY_PATH or a symlink
+// in ./).
+func ensureLibLoaded() {
+	libLoadOnce.Do(func() {
+		libName := os.Getenv("MOSS_TRANSCRIBE_LIBRARY")
+		if libName == "" {
+			libName = "libmoss-transcribe.so"
+		}
+		lib, err := purego.Dlopen(libName, purego.RTLD_NOW|purego.RTLD_GLOBAL)
+		if err != nil {
+			libLoadErr = err
+			return
+		}
+		purego.RegisterLibFunc(&CppAbiVersion, lib, "moss_transcribe_capi_abi_version")
+		purego.RegisterLibFunc(&CppLoad, lib, "moss_transcribe_capi_load")
+		purego.RegisterLibFunc(&CppFree, lib, "moss_transcribe_capi_free")
+		purego.RegisterLibFunc(&CppTranscribePath, lib, "moss_transcribe_capi_transcribe_path")
+		purego.RegisterLibFunc(&CppTranscribePcm, lib, "moss_transcribe_capi_transcribe_pcm")
+		purego.RegisterLibFunc(&CppFreeString, lib, "moss_transcribe_capi_free_string")
+		purego.RegisterLibFunc(&CppLastError, lib, "moss_transcribe_capi_last_error")
+	})
+	if libLoadErr != nil {
+		Skip("libmoss-transcribe.so not loadable: " + libLoadErr.Error())
+	}
+}
+
+// fixturesOrSkip returns the model + audio paths or skips the spec if either
+// env var is unset. The smoke test never runs in default CI; it needs a real
+// MOSS GGUF and a WAV on disk.
+func fixturesOrSkip() (string, string) {
+	modelPath := os.Getenv("MOSS_BACKEND_TEST_MODEL")
+	audioPath := os.Getenv("MOSS_BACKEND_TEST_WAV")
+	if modelPath == "" || audioPath == "" {
+		Skip("set MOSS_BACKEND_TEST_MODEL and MOSS_BACKEND_TEST_WAV to run this spec")
+	}
+	return modelPath, audioPath
+}
+
+// writeMono16kWav writes `samples` frames of 16 kHz mono 16-bit silence to
+// path. The result is already in AudioToWav's target format, so the conversion
+// helper copies it through without invoking ffmpeg.
+func writeMono16kWav(path string, samples int) {
+	GinkgoHelper()
+	f, err := os.Create(path)
+	Expect(err).ToNot(HaveOccurred())
+	enc := wav.NewEncoder(f, 16000, 16, 1, 1)
+	buf := &audio.IntBuffer{
+		Format:         &audio.Format{NumChannels: 1, SampleRate: 16000},
+		SourceBitDepth: 16,
+		Data:           make([]int, samples),
+	}
+	Expect(enc.Write(buf)).To(Succeed())
+	Expect(enc.Close()).To(Succeed())
+	Expect(f.Close()).To(Succeed())
+}
+
+var _ = Describe("MossTranscribeCpp", func() {
+	Context("ABI / load smoke (needs libmoss-transcribe.so)", func() {
+		It("reports a positive ABI version", func() {
+			ensureLibLoaded()
+			Expect(CppAbiVersion()).To(BeNumerically(">=", 1))
+		})
+
+		It("transcribes a WAV into speaker-labelled segments", func() {
+			modelPath, audioPath := fixturesOrSkip()
+			ensureLibLoaded()
+
+			m := &MossTranscribeCpp{}
+			Expect(m.Load(&pb.ModelOptions{ModelFile: modelPath})).To(Succeed())
+			defer func() { _ = m.Free() }()
+
+			res, err := m.AudioTranscription(context.Background(), &pb.TranscriptRequest{
+				Dst: audioPath,
+			})
+			Expect(err).ToNot(HaveOccurred())
+			Expect(strings.TrimSpace(res.Text)).ToNot(BeEmpty(),
+				"expected non-empty transcript for %s", audioPath)
+			Expect(res.Segments).ToNot(BeEmpty(), "expected at least one segment")
+			var prevEnd int64
+			for i, seg := range res.Segments {
+				Expect(strings.TrimSpace(seg.Text)).ToNot(BeEmpty(),
+					"segment %d must have text", i)
+				Expect(seg.End).To(BeNumerically(">=", seg.Start),
+					"segment %d end must not precede its start", i)
+				Expect(seg.Start).To(BeNumerically(">=", prevEnd),
+					"segments must be in time order")
+				prevEnd = seg.End
+			}
+		})
+	})
+
+	Context("Load validation", func() {
+		It("rejects an empty ModelFile", func() {
+			m := &MossTranscribeCpp{}
+			Expect(m.Load(&pb.ModelOptions{})).To(HaveOccurred())
+		})
+	})
+
+	Context("AudioTranscription guards (no C library required)", func() {
+		It("returns ModelNotLoaded when no context is loaded", func() {
+			m := &MossTranscribeCpp{}
+			_, err := m.AudioTranscription(context.Background(), &pb.TranscriptRequest{Dst: "x.wav"})
+			Expect(err).To(HaveOccurred())
+		})
+
+		It("errors when the audio path is empty", func() {
+			m := &MossTranscribeCpp{ctxPtr: 1}
+			_, err := m.AudioTranscription(context.Background(), &pb.TranscriptRequest{})
+			Expect(err).To(HaveOccurred())
+		})
+	})
+
+	Context("convertToWavMono16k", func() {
+		It("returns a decodable 16kHz mono WAV copy and cleans it up", func() {
+			dir := GinkgoT().TempDir()
+			src := filepath.Join(dir, "input.wav")
+			writeMono16kWav(src, 16000) // 1s of silence at 16 kHz
+
+			converted, cleanup, err := convertToWavMono16k(src)
+			Expect(err).ToNot(HaveOccurred())
+
+			Expect(converted).ToNot(Equal(src))
+			Expect(converted).To(BeAnExistingFile())
+
+			cleanup()
+			Expect(converted).ToNot(BeAnExistingFile(), "cleanup removes the temp dir")
+		})
+
+		It("errors on a non-existent input rather than passing the path through", func() {
+			_, _, err := convertToWavMono16k(filepath.Join(GinkgoT().TempDir(), "missing.mp3"))
+			Expect(err).To(HaveOccurred())
+		})
+	})
+})

backend/go/moss-transcribe-cpp/main.go

@@ -0,0 +1,70 @@
+package main
+
+// Started internally by LocalAI - one gRPC server per loaded model.
+//
+// Loads the moss-transcribe shared library via purego and registers the flat
+// C-API entry points declared in moss_transcribe_capi.h. The library name can
+// be overridden with MOSS_TRANSCRIBE_LIBRARY (mirrors the WHISPER_LIBRARY /
+// PARAKEET_LIBRARY convention in the sibling backends); the default looks next
+// to this binary for libmoss-transcribe.so on Linux and
+// libmoss-transcribe.dylib on macOS.
+import (
+	"flag"
+	"fmt"
+	"os"
+	"runtime"
+
+	"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() {
+	libName := os.Getenv("MOSS_TRANSCRIBE_LIBRARY")
+	if libName == "" {
+		if runtime.GOOS == "darwin" {
+			libName = "libmoss-transcribe.dylib"
+		} else {
+			libName = "libmoss-transcribe.so"
+		}
+	}
+
+	lib, err := purego.Dlopen(libName, purego.RTLD_NOW|purego.RTLD_GLOBAL)
+	if err != nil {
+		panic(fmt.Errorf("moss-transcribe-cpp: dlopen %q: %w", libName, err))
+	}
+
+	// Bound 1:1 to moss_transcribe_capi.h. The transcribe_* entry points return
+	// a malloc'd char* the caller owns; we register those as uintptr so we get
+	// the raw pointer back and can call moss_transcribe_capi_free_string on it
+	// (purego's string return would copy and forget the original pointer,
+	// leaking it on every call).
+	libFuncs := []LibFuncs{
+		{&CppAbiVersion, "moss_transcribe_capi_abi_version"},
+		{&CppLoad, "moss_transcribe_capi_load"},
+		{&CppFree, "moss_transcribe_capi_free"},
+		{&CppTranscribePath, "moss_transcribe_capi_transcribe_path"},
+		{&CppTranscribePcm, "moss_transcribe_capi_transcribe_pcm"},
+		{&CppFreeString, "moss_transcribe_capi_free_string"},
+		{&CppLastError, "moss_transcribe_capi_last_error"},
+	}
+	for _, lf := range libFuncs {
+		purego.RegisterLibFunc(lf.FuncPtr, lib, lf.Name)
+	}
+
+	fmt.Fprintf(os.Stderr, "[moss-transcribe-cpp] ABI=%d\n", CppAbiVersion())
+
+	flag.Parse()
+
+	if err := grpc.StartServer(*addr, &MossTranscribeCpp{}); err != nil {
+		panic(err)
+	}
+}

backend/go/moss-transcribe-cpp/package.sh

@@ -0,0 +1,71 @@
+#!/bin/bash
+#
+# Bundle the moss-transcribe-cpp-grpc binary, libmoss-transcribe.so, the core
+# runtime libs (libc/libstdc++/libgomp + ld.so) and the GPU runtime for the
+# active BUILD_TYPE so the package is self-contained. Mirrors
+# backend/go/parakeet-cpp/package.sh; run.sh routes the (CGO_ENABLED=0) binary
+# through lib/ld.so so the packaged libc is used instead of the host's.
+
+set -e
+
+CURDIR=$(dirname "$(realpath "$0")")
+REPO_ROOT="${CURDIR}/../../.."
+
+mkdir -p "$CURDIR/package/lib"
+
+cp -avf "$CURDIR/moss-transcribe-cpp-grpc" "$CURDIR/package/"
+cp -avf "$CURDIR/run.sh" "$CURDIR/package/"
+
+# libmoss-transcribe shared lib + any soname symlinks. On Linux this is
+# libmoss-transcribe.so[.X.Y]; on macOS it is libmoss-transcribe.dylib.
+# purego.Dlopen resolves it via the *_LIBRARY_PATH that run.sh points at lib/.
+cp -avf "$CURDIR"/libmoss-transcribe.so* "$CURDIR/package/lib/" 2>/dev/null || true
+cp -avf "$CURDIR"/libmoss-transcribe.dylib "$CURDIR/package/lib/" 2>/dev/null || true
+if ! ls "$CURDIR"/package/lib/libmoss-transcribe.* >/dev/null 2>&1; then
+	echo "ERROR: libmoss-transcribe shared library not found in $CURDIR, run 'make' first" >&2
+	exit 1
+fi
+
+# Detect architecture and copy the core runtime libs libmoss-transcribe.so links
+# against, plus the matching dynamic loader as lib/ld.so.
+if [ -f "/lib64/ld-linux-x86-64.so.2" ]; then
+    echo "Detected x86_64 architecture, copying x86_64 libraries..."
+    cp -arfLv /lib64/ld-linux-x86-64.so.2 "$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
+    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 — system frameworks linked dynamically, no bundled libs needed"
+else
+    echo "Error: Could not detect architecture"
+    exit 1
+fi
+
+# Package GPU libraries (CUDA/ROCm/Intel/Vulkan loader + ICDs + drivers) based
+# on BUILD_TYPE so the backend can reach the GPU without the runtime base image
+# shipping those drivers.
+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/" "$CURDIR/package/lib/"

backend/go/moss-transcribe-cpp/run.sh

@@ -0,0 +1,22 @@
+#!/bin/bash
+set -e
+
+CURDIR=$(dirname "$(realpath "$0")")
+
+if [ "$(uname)" = "Darwin" ]; then
+	export DYLD_LIBRARY_PATH="$CURDIR/lib:"$CURDIR":${DYLD_LIBRARY_PATH:-}"
+	export MOSS_TRANSCRIBE_LIBRARY="$CURDIR/lib/libmoss-transcribe.dylib"
+else
+	export LD_LIBRARY_PATH="$CURDIR/lib:"$CURDIR":${LD_LIBRARY_PATH:-}"
+	export MOSS_TRANSCRIBE_LIBRARY="$CURDIR/lib/libmoss-transcribe.so"
+fi
+
+# If a self-contained ld.so was packaged, route through it so the packaged libc
+# / libstdc++ are used instead of the host's (matches the whisper / parakeet-cpp
+# backends' runtime layout). Linux only.
+if [ -f "$CURDIR/lib/ld.so" ]; then
+	echo "Using lib/ld.so"
+	exec "$CURDIR/lib/ld.so" "$CURDIR/moss-transcribe-cpp-grpc" "$@"
+fi
+
+exec "$CURDIR/moss-transcribe-cpp-grpc" "$@"

backend/go/moss-transcribe-cpp/segments.go

@@ -0,0 +1,156 @@
+package main
+
+import (
+	"regexp"
+	"strconv"
+	"strings"
+
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
+)
+
+// mossSegment is one parsed unit of the MOSS transcript: a speaker-labelled
+// span with fractional-second start/end times, straight from the model's own
+// output. Timestamps stay in seconds here; secondsToNanos converts them at the
+// TranscriptSegment boundary.
+type mossSegment struct {
+	Start   float64
+	End     float64
+	Speaker string
+	Text    string
+}
+
+// bracketRe matches one "[...]" token (timestamp or speaker tag). The MOSS
+// transcript is a concatenation of "[start][Sxx]text[end]" segments, e.g.
+//
+//	[0.28][S01] And so, my fellow Americans,[7.71][8.12][S02] ask ...[10.59]
+//
+// so the bracketed tokens carry all the structure and the free text lives
+// between a speaker tag and the following (end) timestamp.
+var bracketRe = regexp.MustCompile(`\[([^\]]*)\]`)
+
+// speakerRe matches a speaker tag: an 'S' (any case) followed by one or more
+// digits, e.g. "S01", "S12". Anything else in brackets that isn't a speaker tag
+// is treated as a timestamp candidate.
+var speakerRe = regexp.MustCompile(`^[Ss][0-9]+$`)
+
+// bracketToken is a "[...]" token plus the free text that follows it up to the
+// next token (or end of string). For a speaker tag that trailing text is the
+// segment's transcript.
+type bracketToken struct {
+	content   string
+	textAfter string
+}
+
+// parseTranscript parses the compact "[start][Sxx]text[end]..." MOSS transcript
+// into structured segments. It walks the bracket tokens looking for a
+// start-timestamp, a speaker tag, and an end-timestamp, taking the text that
+// follows the speaker tag as the segment transcript. Tokens that don't fit the
+// grammar are skipped rather than aborting the parse, so a slightly malformed
+// stream still yields the segments it can.
+func parseTranscript(raw string) []mossSegment {
+	locs := bracketRe.FindAllStringSubmatchIndex(raw, -1)
+	toks := make([]bracketToken, len(locs))
+	for i, m := range locs {
+		// m[2]:m[3] is the capture group (the content inside the brackets);
+		// m[1] is the byte just past the closing ']'.
+		nextStart := len(raw)
+		if i+1 < len(locs) {
+			nextStart = locs[i+1][0]
+		}
+		toks[i] = bracketToken{
+			content:   raw[m[2]:m[3]],
+			textAfter: raw[m[1]:nextStart],
+		}
+	}
+
+	var segs []mossSegment
+	i := 0
+	for i < len(toks) {
+		start, ok := parseTimestamp(toks[i].content)
+		if !ok {
+			i++
+			continue
+		}
+		// A start timestamp must be followed by a speaker tag; otherwise this
+		// isn't a segment head, so skip it.
+		if i+1 >= len(toks) || !isSpeakerTag(toks[i+1].content) {
+			i++
+			continue
+		}
+		speaker := strings.ToUpper(strings.TrimSpace(toks[i+1].content))
+		text := strings.TrimSpace(toks[i+1].textAfter)
+
+		// The end timestamp is the next token if present and numeric; a segment
+		// that runs to the end of the stream without a closing timestamp falls
+		// back to start==end.
+		end := start
+		consumed := 2
+		if i+2 < len(toks) {
+			if e, ok := parseTimestamp(toks[i+2].content); ok {
+				end = e
+				consumed = 3
+			}
+		}
+
+		segs = append(segs, mossSegment{Start: start, End: end, Speaker: speaker, Text: text})
+		i += consumed
+	}
+	return segs
+}
+
+// isSpeakerTag reports whether the bracket content is a MOSS speaker tag ("Sxx").
+func isSpeakerTag(content string) bool {
+	return speakerRe.MatchString(strings.TrimSpace(content))
+}
+
+// parseTimestamp parses a bracket content as a fractional-second timestamp. A
+// speaker tag ("S01") never parses as a float, so this cleanly distinguishes
+// the two token kinds.
+func parseTimestamp(content string) (float64, bool) {
+	f, err := strconv.ParseFloat(strings.TrimSpace(content), 64)
+	if err != nil {
+		return 0, false
+	}
+	return f, true
+}
+
+// secondsToNanos converts the transcript's fractional-second timestamps into
+// the int64 nanoseconds LocalAI carries on TranscriptSegment, the same
+// nanosecond convention the whisper / parakeet-cpp backends use.
+func secondsToNanos(sec float64) int64 {
+	return int64(sec * 1e9)
+}
+
+// transcriptResultFromRaw parses the raw MOSS transcript and shapes it into a
+// TranscriptResult. Each parsed segment becomes a TranscriptSegment with
+// nanosecond start/end and the model's own speaker label; Text is the segments
+// joined with single spaces. When nothing parses (no bracket structure) it
+// falls back to a single whole-clip text segment so callers always get a
+// transcript.
+func transcriptResultFromRaw(raw string) pb.TranscriptResult {
+	segs := parseTranscript(raw)
+	if len(segs) == 0 {
+		text := strings.TrimSpace(raw)
+		return pb.TranscriptResult{
+			Text:     text,
+			Segments: []*pb.TranscriptSegment{{Id: 0, Text: text}},
+		}
+	}
+
+	var full strings.Builder
+	pbSegs := make([]*pb.TranscriptSegment, 0, len(segs))
+	for id, s := range segs {
+		if id > 0 && s.Text != "" {
+			full.WriteString(" ")
+		}
+		full.WriteString(s.Text)
+		pbSegs = append(pbSegs, &pb.TranscriptSegment{
+			Id:      int32(id),
+			Start:   secondsToNanos(s.Start),
+			End:     secondsToNanos(s.End),
+			Text:    s.Text,
+			Speaker: s.Speaker,
+		})
+	}
+	return pb.TranscriptResult{Text: strings.TrimSpace(full.String()), Segments: pbSegs}
+}

backend/go/moss-transcribe-cpp/segments_test.go

@@ -0,0 +1,104 @@
+package main
+
+import (
+	. "github.com/onsi/ginkgo/v2"
+	. "github.com/onsi/gomega"
+)
+
+var _ = Describe("parseTranscript ([start][Sxx]text[end] grammar)", func() {
+	It("parses the README two-speaker example into ordered segments", func() {
+		raw := "[0.28][S01] And so, my fellow Americans, ask not what your country can do for you,[7.71][8.12][S02] ask what you can do for your country.[10.59]"
+		segs := parseTranscript(raw)
+		Expect(segs).To(HaveLen(2))
+
+		Expect(segs[0].Speaker).To(Equal("S01"))
+		Expect(segs[0].Start).To(BeNumerically("~", 0.28, 1e-9))
+		Expect(segs[0].End).To(BeNumerically("~", 7.71, 1e-9))
+		Expect(segs[0].Text).To(Equal("And so, my fellow Americans, ask not what your country can do for you,"))
+
+		Expect(segs[1].Speaker).To(Equal("S02"))
+		Expect(segs[1].Start).To(BeNumerically("~", 8.12, 1e-9))
+		Expect(segs[1].End).To(BeNumerically("~", 10.59, 1e-9))
+		Expect(segs[1].Text).To(Equal("ask what you can do for your country."))
+	})
+
+	It("parses a single segment", func() {
+		segs := parseTranscript("[1.50][S01] hello world[3.25]")
+		Expect(segs).To(HaveLen(1))
+		Expect(segs[0].Start).To(BeNumerically("~", 1.50, 1e-9))
+		Expect(segs[0].End).To(BeNumerically("~", 3.25, 1e-9))
+		Expect(segs[0].Speaker).To(Equal("S01"))
+		Expect(segs[0].Text).To(Equal("hello world"))
+	})
+
+	It("uppercases a lowercase speaker tag", func() {
+		segs := parseTranscript("[0.00][s03] hi[0.90]")
+		Expect(segs).To(HaveLen(1))
+		Expect(segs[0].Speaker).To(Equal("S03"))
+	})
+
+	It("falls back to start==end when the closing timestamp is missing", func() {
+		segs := parseTranscript("[2.00][S01] trailing words with no end")
+		Expect(segs).To(HaveLen(1))
+		Expect(segs[0].Start).To(BeNumerically("~", 2.00, 1e-9))
+		Expect(segs[0].End).To(Equal(segs[0].Start))
+		Expect(segs[0].Text).To(Equal("trailing words with no end"))
+	})
+
+	It("handles multi-digit speaker ids and higher speaker counts", func() {
+		segs := parseTranscript("[0.0][S01] a[1.0][1.0][S12] b[2.0]")
+		Expect(segs).To(HaveLen(2))
+		Expect(segs[0].Speaker).To(Equal("S01"))
+		Expect(segs[1].Speaker).To(Equal("S12"))
+	})
+
+	It("returns no segments for text without bracket structure", func() {
+		Expect(parseTranscript("just some plain text")).To(BeEmpty())
+		Expect(parseTranscript("")).To(BeEmpty())
+	})
+
+	It("skips a start timestamp not followed by a speaker tag", func() {
+		// A stray timestamp pair without a speaker tag is not a segment head.
+		segs := parseTranscript("[1.0][2.0][S01] real[3.0]")
+		Expect(segs).To(HaveLen(1))
+		Expect(segs[0].Speaker).To(Equal("S01"))
+		Expect(segs[0].Text).To(Equal("real"))
+	})
+})
+
+var _ = Describe("transcriptResultFromRaw", func() {
+	It("shapes parsed segments into a TranscriptResult with nanosecond times and speakers", func() {
+		raw := "[0.28][S01] first part,[7.71][8.12][S02] second part.[10.59]"
+		res := transcriptResultFromRaw(raw)
+
+		Expect(res.Segments).To(HaveLen(2))
+		Expect(res.Segments[0].Id).To(Equal(int32(0)))
+		Expect(res.Segments[0].Start).To(Equal(secondsToNanos(0.28)))
+		Expect(res.Segments[0].End).To(Equal(secondsToNanos(7.71)))
+		Expect(res.Segments[0].Speaker).To(Equal("S01"))
+		Expect(res.Segments[0].Text).To(Equal("first part,"))
+
+		Expect(res.Segments[1].Id).To(Equal(int32(1)))
+		Expect(res.Segments[1].Speaker).To(Equal("S02"))
+		Expect(res.Segments[1].Start).To(Equal(secondsToNanos(8.12)))
+
+		// Full text is the segments joined with single spaces.
+		Expect(res.Text).To(Equal("first part, second part."))
+	})
+
+	It("falls back to a single whole-clip text segment when nothing parses", func() {
+		res := transcriptResultFromRaw("plain transcript with no markers")
+		Expect(res.Segments).To(HaveLen(1))
+		Expect(res.Segments[0].Text).To(Equal("plain transcript with no markers"))
+		Expect(res.Segments[0].Start).To(Equal(int64(0)))
+		Expect(res.Text).To(Equal("plain transcript with no markers"))
+	})
+})
+
+var _ = Describe("secondsToNanos", func() {
+	It("converts fractional seconds to int64 nanoseconds", func() {
+		Expect(secondsToNanos(0)).To(Equal(int64(0)))
+		Expect(secondsToNanos(1)).To(Equal(int64(1e9)))
+		Expect(secondsToNanos(0.28)).To(Equal(int64(0.28 * 1e9)))
+	})
+})

backend/go/omnivoice-cpp/CMakeLists.txt

@@ -30,7 +30,7 @@ target_include_directories(gomnivoicecpp PRIVATE ${OMNIVOICE_DIR}/src)
 target_include_directories(gomnivoicecpp SYSTEM PRIVATE ${OMNIVOICE_DIR}/ggml/include)
 
 # Link GPU backends if the upstream ggml created them.
-foreach(backend blas cuda metal vulkan sycl)
+foreach(backend blas cuda hip metal vulkan sycl)
     if(TARGET ggml-${backend})
         target_link_libraries(gomnivoicecpp PRIVATE ggml-${backend})
         if(backend STREQUAL "cuda")

backend/go/omnivoice-cpp/Makefile

@@ -8,7 +8,7 @@ JOBS?=$(shell nproc --ignore=1)
 
 # omnivoice.cpp version
 OMNIVOICE_REPO?=https://github.com/ServeurpersoCom/omnivoice.cpp
-OMNIVOICE_VERSION?=0f37401bebe9b20c0160a888e592108fc1d17607
+OMNIVOICE_VERSION?=bbdf4be03aa5bc3c188b5db778b6f3fd63ceff6c
 SO_TARGET?=libgomnivoicecpp.so
 
 CMAKE_ARGS+=-DBUILD_SHARED_LIBS=OFF
@@ -24,7 +24,14 @@ else ifeq ($(BUILD_TYPE),openblas)
 else ifeq ($(BUILD_TYPE),clblas)
 	CMAKE_ARGS+=-DGGML_CLBLAST=ON -DCLBlast_DIR=/some/path
 else ifeq ($(BUILD_TYPE),hipblas)
-	CMAKE_ARGS+=-DGGML_HIPBLAS=ON
+	# This ggml only understands GGML_HIP (GGML_HIPBLAS was removed upstream),
+	# so passing GGML_HIPBLAS silently produced a CPU-only build (see #10666).
+	ROCM_HOME ?= /opt/rocm
+	ROCM_PATH ?= /opt/rocm
+	export CXX=$(ROCM_HOME)/llvm/bin/clang++
+	export CC=$(ROCM_HOME)/llvm/bin/clang
+	AMDGPU_TARGETS ?= gfx908,gfx90a,gfx942,gfx950,gfx1030,gfx1100,gfx1101,gfx1102,gfx1151,gfx1200,gfx1201
+	CMAKE_ARGS+=-DGGML_HIP=ON -DAMDGPU_TARGETS=$(AMDGPU_TARGETS)
 else ifeq ($(BUILD_TYPE),vulkan)
 	CMAKE_ARGS+=-DGGML_VULKAN=ON
 else ifeq ($(OS),Darwin)

backend/go/opus/opus.go

@@ -34,7 +34,15 @@ type Opus struct {
 	decoders   map[string]*cachedDecoder
 }
 
+// Load accepts only the codec's own name (what the realtime WebRTC path
+// sends) or no name at all — there is no model artefact here, so without
+// this check the model loader's greedy autoload (which probes every
+// installed backend with real model names) would happily bind an LLM to
+// the audio codec.
 func (o *Opus) Load(opts *pb.ModelOptions) error {
+	if m := opts.GetModel(); m != "" && m != "opus" {
+		return fmt.Errorf("opus: refusing to load %q: opus is an audio codec, not a model backend", m)
+	}
 	o.decoders = make(map[string]*cachedDecoder)
 	go o.evictLoop()
 	return Init()

backend/go/opus/opus_test.go

@@ -304,6 +304,17 @@ func computeTHD(samples []int16, fundamentalHz float64, sampleRate, numHarmonics
 
 // --- Opus specs ---
 
+var _ = Describe("Opus Load", func() {
+	It("accepts its own name (the realtime WebRTC path)", func() {
+		Expect((&Opus{}).Load(&pb.ModelOptions{Model: "opus"})).To(Succeed())
+	})
+
+	It("refuses foreign model names from the greedy autoload", func() {
+		err := (&Opus{}).Load(&pb.ModelOptions{Model: "some-llm.gguf"})
+		Expect(err).To(MatchError(ContainSubstring("audio codec")))
+	})
+})
+
 var _ = Describe("Opus", func() {
 	var o *Opus
 

backend/go/parakeet-cpp/Makefile

@@ -1,6 +1,6 @@
 # parakeet-cpp backend Makefile.
 #
-# Upstream pin lives below as PARAKEET_VERSION?=f469a57270a1cc4554acb15febf60e56619673b9
+# Upstream pin lives below as PARAKEET_VERSION?=e8acc6172a94e20a952cf1843decace5d771a94b
 # (.github/bump_deps.sh) can find and update it - matches the
 # whisper.cpp / ds4 / vibevoice-cpp convention.
 #
@@ -15,7 +15,7 @@
 # That's what the L0 smoke test uses. The default target below does the
 # proper clone-at-pin + cmake build so CI doesn't need a side-checkout.
 
-PARAKEET_VERSION?=f469a57270a1cc4554acb15febf60e56619673b9
+PARAKEET_VERSION?=e8acc6172a94e20a952cf1843decace5d771a94b
 PARAKEET_REPO?=https://github.com/mudler/parakeet.cpp
 
 GOCMD?=go

backend/go/parakeet-cpp/boundary.go

@@ -0,0 +1,81 @@
+package main
+
+// utteranceBoundary is the single definition of a small state machine that was
+// previously open-coded three times — as a bare `finalEou` bool with an ad-hoc
+// toggle — in the live feed (live.go), the file-stream text path, and the
+// file-stream JSON path (goparakeetcpp.go).
+//
+// It answers one running question: does the decode currently rest on an
+// end-of-utterance boundary? That is the value a closing FinalResult reports as
+// .Eou and the realtime turn detector treats as a commit point.
+//
+// parakeet auto-resets its decoder after every <EOU>/<EOB>, so one streaming
+// session is a sequence of utterances and this is a LATCH, not a monotonic
+// flag: it closes on an <EOU> and reopens as soon as the next utterance starts.
+// (Contrast the realtime API's per-turn `eouSeen`, which only ever goes
+// false->true because each turn gets a fresh stream. Here the stream outlives
+// the turn, so the boundary status must be able to reopen.)
+//
+// The only transitions, over the events one streamFeedResult carries — an
+// <EOU>, an <EOB> (backchannel), or plain speech output (text and/or words):
+//
+//	            <EOU>
+//	   open ───────────► closed
+//	    ▲ ▲ │             │ │
+//	    │ └─┘ <EOB>|speech │ │ <EOU>
+//	    │   (stay open)    │ └─┘ (stay closed)
+//	    └──────────────────┘
+//	         <EOB>|speech
+//
+//	open   = NOT on an utterance boundary: mid-utterance, the last boundary was
+//	         a backchannel <EOB>, or the stream just began (the initial state).
+//	closed = the last meaningful event was an <EOU> with no later speech: a real
+//	         turn boundary.
+//
+// A feed that carries nothing (no eou/eob/text/words — e.g. a finalize flush
+// that produced no tail) is a no-op and leaves the state unchanged, matching
+// the legacy "leave finalEou as it was" behaviour.
+//
+// The state carries no data, so it is modelled as a two-valued type (a named
+// bool) rather than an int enum: every inhabitant is legal, so illegal states
+// are unrepresentable — the payload-free analog of the sealed sum types the
+// realtime machines use (those need interfaces because their states carry data,
+// e.g. Active{ID}, where "Active with no ID" is the illegal combination a scalar
+// cannot even express).
+type utteranceBoundary bool
+
+const (
+	// boundaryOpen is the zero value (false), so a fresh decode starts open —
+	// exactly the legacy `var finalEou bool` (false) initial condition.
+	boundaryOpen   utteranceBoundary = false
+	boundaryClosed utteranceBoundary = true
+)
+
+// observe folds one decode increment into the latch and returns the new state.
+//
+// <EOU> takes priority when a single feed carries both an <EOU> and speech
+// (e.g. {"text":"hello","eou":1}): the utterance both produced that text AND
+// ended, so the decode rests on the boundary. This matches the legacy
+// eou-checked-first ordering at every call site.
+func (b utteranceBoundary) observe(r streamFeedResult) utteranceBoundary {
+	switch {
+	case r.Eou:
+		return boundaryClosed
+	case r.Eob || r.Delta != "" || len(r.Words) > 0:
+		return boundaryOpen
+	default:
+		return b
+	}
+}
+
+// ended reports whether the decode currently rests on an end-of-utterance
+// boundary (a real <EOU>, not a backchannel <EOB>). This is what a closing
+// FinalResult carries as .Eou.
+func (b utteranceBoundary) ended() bool { return b == boundaryClosed }
+
+func (b utteranceBoundary) String() string {
+	if b == boundaryClosed {
+		return "closed"
+	}
+	return "open"
+}

backend/go/parakeet-cpp/boundary_test.go

@@ -0,0 +1,92 @@
+package main
+
+import (
+	"math/rand/v2"
+
+	. "github.com/onsi/ginkgo/v2"
+	. "github.com/onsi/gomega"
+)
+
+var _ = Describe("utteranceBoundary (decode end-of-utterance latch)", func() {
+	It("starts open: a fresh decode is not on a boundary", func() {
+		var b utteranceBoundary
+		Expect(b).To(Equal(boundaryOpen))
+		Expect(b.ended()).To(BeFalse())
+	})
+
+	DescribeTable("single feed transition from the open state",
+		func(r streamFeedResult, wantEnded bool) {
+			Expect(boundaryOpen.observe(r).ended()).To(Equal(wantEnded))
+		},
+		Entry("<EOU> closes it", streamFeedResult{Eou: true}, true),
+		Entry("<EOU> with text closes it (eou wins)", streamFeedResult{Delta: "hi", Eou: true}, true),
+		Entry("<EOB> stays open (backchannel is not a turn boundary)", streamFeedResult{Eob: true}, false),
+		Entry("plain text stays open", streamFeedResult{Delta: "hello"}, false),
+		Entry("words-only stays open", streamFeedResult{Words: []transcriptWord{{W: "x"}}}, false),
+		Entry("empty feed is a no-op (stays open)", streamFeedResult{}, false),
+	)
+
+	DescribeTable("single feed transition from the closed state",
+		func(r streamFeedResult, wantEnded bool) {
+			Expect(boundaryClosed.observe(r).ended()).To(Equal(wantEnded))
+		},
+		Entry("another <EOU> stays closed", streamFeedResult{Eou: true}, true),
+		Entry("trailing speech reopens it", streamFeedResult{Delta: "and more"}, false),
+		Entry("words reopen it", streamFeedResult{Words: []transcriptWord{{W: "x"}}}, false),
+		Entry("a backchannel <EOB> reopens it", streamFeedResult{Eob: true}, false),
+		Entry("empty feed is a no-op (stays closed)", streamFeedResult{}, true),
+	)
+
+	It("is a latch: <EOU> then trailing speech reopens, then <EOU> closes again", func() {
+		b := boundaryOpen
+		b = b.observe(streamFeedResult{Delta: "turn one", Eou: true})
+		Expect(b.ended()).To(BeTrue())
+		b = b.observe(streamFeedResult{Delta: " and more"})
+		Expect(b.ended()).To(BeFalse(), "trailing speech without an EOU is an open utterance")
+		b = b.observe(streamFeedResult{Eou: true})
+		Expect(b.ended()).To(BeTrue())
+	})
+
+	It("treats a backchannel before a real EOU correctly", func() {
+		b := boundaryOpen
+		b = b.observe(streamFeedResult{Delta: "uh huh", Eob: true})
+		Expect(b.ended()).To(BeFalse(), "a backchannel must not masquerade as a turn boundary")
+		b = b.observe(streamFeedResult{Delta: "done", Eou: true})
+		Expect(b.ended()).To(BeTrue())
+	})
+
+	It("matches the reference fold over seeded random feed sequences", func() {
+		// The invariant: after any sequence of feeds, ended() is true iff the
+		// last feed that carried ANY event was an <EOU>. <EOU> takes priority
+		// when a feed carries both an EOU and speech; empty feeds are ignored.
+		for seed := uint64(1); seed <= 200; seed++ {
+			rng := rand.New(rand.NewPCG(seed, seed*2654435761))
+			b := boundaryOpen
+			lastWasEou := false // reference: did the last meaningful feed end on EOU?
+			steps := rng.IntN(30)
+			for i := 0; i < steps; i++ {
+				var r streamFeedResult
+				switch rng.IntN(5) {
+				case 0:
+					r = streamFeedResult{Eou: true}
+				case 1:
+					r = streamFeedResult{Eob: true}
+				case 2:
+					r = streamFeedResult{Delta: "w"}
+				case 3:
+					r = streamFeedResult{Delta: "w", Eou: true} // eou + speech, eou wins
+				case 4:
+					r = streamFeedResult{} // empty: no-op
+				}
+				b = b.observe(r)
+				if r.Eou {
+					lastWasEou = true
+				} else if r.Eob || r.Delta != "" || len(r.Words) > 0 {
+					lastWasEou = false
+				}
+			}
+			Expect(b.ended()).To(Equal(lastWasEou),
+				"seed %d: latch disagreed with the reference fold", seed)
+		}
+	})
+})

backend/go/parakeet-cpp/driver.go

@@ -0,0 +1,82 @@
+package main
+
+import (
+	"context"
+
+	"google.golang.org/grpc/codes"
+	"google.golang.org/grpc/status"
+)
+
+// streamFeedResult is one decode increment from a cache-aware streaming session:
+// the newly-finalized text plus the model's own per-feed boundary tokens
+// (<EOU>/<EOB>) and word timings. It is the single event type both the live
+// (bidi) and file (server-stream) paths fold over, hiding the ABI v4 JSON vs
+// older text-only entry-point split behind one shape.
+type streamFeedResult struct {
+	Delta string
+	Eou   bool
+	Eob   bool
+	Words []transcriptWord
+}
+
+// feedChunk feeds one PCM chunk to the streaming session (or finalizes it, when
+// finalize is true) and returns the unified decode increment. It prefers the
+// ABI v4 JSON entry points (which also carry per-word timestamps) and falls
+// back to the older text-only entry points against an older libparakeet.so.
+//
+// This is the one place the JSON-vs-text choice is made; every consumer works
+// in terms of streamFeedResult.
+func (p *ParakeetCpp) feedChunk(stream uintptr, pcm []float32, finalize bool) (streamFeedResult, error) {
+	if CppStreamFeedJSON != nil {
+		doc, err := p.streamFeedDoc(stream, pcm, finalize)
+		if err != nil {
+			return streamFeedResult{}, err
+		}
+		return streamFeedResult{Delta: doc.Text, Eou: doc.Eou != 0, Eob: doc.Eob != 0, Words: doc.Words}, nil
+	}
+	delta, eou, eob, err := p.streamFeedText(stream, pcm, finalize)
+	if err != nil {
+		return streamFeedResult{}, err
+	}
+	return streamFeedResult{Delta: delta, Eou: eou, Eob: eob}, nil
+}
+
+// feedSlices feeds pcm through the session in streamChunkSamples slices,
+// invoking onFeed for each decode increment. It does NOT finalize: callers
+// decide when the send side is done. The file path finalizes after the whole
+// file; the live path finalizes only when its request channel closes, never
+// between audio messages. Slicing keeps each per-call engineMu hold short so
+// concurrent unary transcription interleaves fairly (the C session buffers
+// internally).
+//
+// If ctx is non-nil it is checked before each slice so a cancelled file
+// transcription stops promptly; the live path passes nil (it is bounded by its
+// request channel instead of a ctx).
+func (p *ParakeetCpp) feedSlices(ctx context.Context, stream uintptr, pcm []float32, onFeed func(streamFeedResult) error) error {
+	for off := 0; off < len(pcm); off += streamChunkSamples {
+		if ctx != nil {
+			if err := ctx.Err(); err != nil {
+				return status.Error(codes.Canceled, "transcription cancelled")
+			}
+		}
+		end := min(off+streamChunkSamples, len(pcm))
+		res, err := p.feedChunk(stream, pcm[off:end], false)
+		if err != nil {
+			return err
+		}
+		if err := onFeed(res); err != nil {
+			return err
+		}
+	}
+	return nil
+}
+
+// flushTail finalizes the session once and folds the flushed tail (the last
+// ~2 encoder frames of text, which only appear on finalize) through onFeed.
+func (p *ParakeetCpp) flushTail(stream uintptr, onFeed func(streamFeedResult) error) error {
+	res, err := p.feedChunk(stream, nil, true)
+	if err != nil {
+		return err
+	}
+	return onFeed(res)
+}

backend/go/parakeet-cpp/goparakeetcpp.go

@@ -103,12 +103,13 @@ type transcriptJSON struct {
 //	{"text":"...","eou":0,"eob":0,"frame_sec":0.080000,
 //	 "words":[{"w":"...","start":0.480,"end":0.640,"conf":0.9100}, ...]}
 //
-// "text" is the newly-finalized text since the last call; "eou" is 1 when an
-// <EOU> (end of utterance) fired this feed and "eob" is 1 when an <EOB>
-// (backchannel) fired. ABI v4 conflated the two into "eou"; v5 split them, so
-// we read both and treat either as an utterance boundary for segmentation.
-// "words" are the words finalized this call with absolute (stream-relative)
-// start/end seconds.
+// "text" is the newly-finalized text since the last call. Under ABI v5 "eou"
+// is 1 iff an <EOU> fired this feed (the user yielded the turn) and "eob" 1
+// iff an <EOB> fired (a backchannel like "uh-huh" ended — NOT a turn
+// boundary). A v4 library has no "eob" field and its "eou" conflates both
+// tokens: Eob stays 0 and Eou keeps the old any-event meaning. "words" are
+// the words finalized this call with absolute (stream-relative) start/end
+// seconds.
 type streamFeedJSON struct {
 	Text     string           `json:"text"`
 	Eou      int              `json:"eou"`
@@ -364,7 +365,7 @@ var segmentSeparators = []rune{'.', '?', '!'}
 // the caller requested word granularity; token ids populate each segment's
 // Tokens by time-window membership. Shared by the batched and direct paths.
 func transcriptResultFromDoc(doc transcriptJSON, opts *pb.TranscriptRequest, gapFrames int) pb.TranscriptResult {
-	text := strings.TrimSpace(doc.Text)
+	text, eou := stripEouMarker(strings.TrimSpace(doc.Text))
 
 	// Frame-unit gap threshold -> seconds (NeMo segment_gap_threshold). 0 = off.
 	gapSeconds := 0.0
@@ -383,6 +384,7 @@ func transcriptResultFromDoc(doc transcriptJSON, opts *pb.TranscriptRequest, gap
 		return pb.TranscriptResult{
 			Text:     text,
 			Segments: []*pb.TranscriptSegment{{Id: 0, Text: text}},
+			Eou:      eou,
 		}
 	}
 
@@ -409,7 +411,25 @@ func transcriptResultFromDoc(doc transcriptJSON, opts *pb.TranscriptRequest, gap
 		}
 		segments = append(segments, seg)
 	}
-	return pb.TranscriptResult{Text: text, Segments: segments}
+	return pb.TranscriptResult{Text: text, Segments: segments, Eou: eou}
+}
+
+// stripEouMarker removes a trailing literal <EOU>/<EOB> from offline-decode
+// text and reports whether the decode ended on an end-of-UTTERANCE token. The
+// realtime EOU model's offline decode keeps the special token in the
+// detokenized text (the streaming path strips it and surfaces it as flags
+// instead); user-visible transcripts must never carry either marker, but only
+// <EOU> may confirm the semantic_vad retranscribe cross-check — a decode
+// ending on <EOB> means the last thing heard was a backchannel, not the user
+// yielding the turn.
+func stripEouMarker(text string) (string, bool) {
+	if strings.HasSuffix(text, "<EOU>") {
+		return strings.TrimSpace(strings.TrimSuffix(text, "<EOU>")), true
+	}
+	if strings.HasSuffix(text, "<EOB>") {
+		return strings.TrimSpace(strings.TrimSuffix(text, "<EOB>")), false
+	}
+	return text, false
 }
 
 // splitWordsIntoSegments groups words into segments exactly as NeMo's
@@ -476,41 +496,55 @@ func tokensInWindow(tokens []transcriptToken, start, end float64) []int32 {
 	return ids
 }
 
-// streamSegmenter accumulates streaming words into per-utterance segments. EOU
-// is the model's own utterance boundary; each closed segment takes its start/end
-// from its first/last accumulated word.
+// streamSegmenter accumulates streaming decode increments into per-utterance
+// segments. <EOU>/<EOB> are the model's own utterance boundaries; each closes a
+// segment. When the feed carries per-word timings (ABI v4 JSON), a closed
+// segment takes its start/end from its first/last word; against an older
+// text-only library (no words) it falls back to segmenting the delta text, so
+// the same assembler serves both paths.
 type streamSegmenter struct {
-	segs   []*pb.TranscriptSegment
-	cur    []transcriptWord
-	nextID int32
+	segs    []*pb.TranscriptSegment
+	cur     []transcriptWord // words for the open segment (ABI v4 JSON path)
+	curText []string         // delta text for the open segment (text-only path)
+	nextID  int32
 }
 
-func (s *streamSegmenter) add(doc streamFeedJSON) {
-	s.cur = append(s.cur, doc.Words...)
-	// Close the segment on either turn signal: <EOU> (end of utterance) or
-	// <EOB> (backchannel). ABI v4 reported both via "eou"; v5 split them, so we
-	// OR them here to keep the v4 segmentation boundaries.
-	if doc.Eou != 0 || doc.Eob != 0 {
+func (s *streamSegmenter) add(r streamFeedResult) {
+	s.cur = append(s.cur, r.Words...)
+	if len(r.Words) == 0 && r.Delta != "" {
+		// Older libparakeet.so with no per-word timing: segment from the text.
+		s.curText = append(s.curText, r.Delta)
+	}
+	// Both <EOU> and <EOB> reset the decoder, so both close a segment.
+	if r.Eou || r.Eob {
 		s.flush()
 	}
 }
 
 func (s *streamSegmenter) flush() {
-	if len(s.cur) == 0 {
-		return
+	switch {
+	case len(s.cur) > 0:
+		parts := make([]string, len(s.cur))
+		for i, w := range s.cur {
+			parts[i] = w.W
+		}
+		s.segs = append(s.segs, &pb.TranscriptSegment{
+			Id:    s.nextID,
+			Start: secondsToNanos(s.cur[0].Start),
+			End:   secondsToNanos(s.cur[len(s.cur)-1].End),
+			Text:  strings.TrimSpace(strings.Join(parts, " ")),
+		})
+		s.nextID++
+	case len(s.curText) > 0:
+		// No words this segment: emit a text-only segment (no timestamps),
+		// skipping a purely-whitespace one as the legacy text path did.
+		if t := strings.TrimSpace(strings.Join(s.curText, "")); t != "" {
+			s.segs = append(s.segs, &pb.TranscriptSegment{Id: s.nextID, Text: t})
+			s.nextID++
+		}
 	}
-	parts := make([]string, len(s.cur))
-	for i, w := range s.cur {
-		parts[i] = w.W
-	}
-	s.segs = append(s.segs, &pb.TranscriptSegment{
-		Id:    s.nextID,
-		Start: secondsToNanos(s.cur[0].Start),
-		End:   secondsToNanos(s.cur[len(s.cur)-1].End),
-		Text:  strings.TrimSpace(strings.Join(parts, " ")),
-	})
-	s.nextID++
 	s.cur = nil
+	s.curText = nil
 }
 
 func (s *streamSegmenter) segments() []*pb.TranscriptSegment { return s.segs }
@@ -535,18 +569,119 @@ func secondsToNanos(sec float64) int64 {
 	return int64(sec * 1e9)
 }
 
+// Per-C-call engine serialization for the streaming paths.
+//
+// Every individual C call (begin / feed / finalize / free) takes engineMu and
+// re-checks ctxPtr under the lock; the lock is NEVER held across a stream's
+// lifetime. This is safe because each parakeet.cpp call builds its own ggml
+// graph and all streaming caches live in the session object, not the ctx —
+// the only ctx-shared mutable state is last_error, which is why it is read
+// under the same lock as the failing call. Holding the lock per call (rather
+// than per stream, as this file previously did) keeps a long-lived live
+// session from starving batched unary transcription and vice versa.
+//
+// A stream must not outlive its ctx (C-API contract). Free() takes engineMu
+// and zeroes ctxPtr, so a racing per-call helper returns ModelNotLoaded
+// instead of feeding a freed engine; streamFree of an orphaned session only
+// runs the session destructor, which does not touch the ctx.
+
+// streamBegin opens a cache-aware streaming session. A 0 stream with nil
+// error means the loaded model is not a streaming model.
+func (p *ParakeetCpp) streamBegin(lang string) (uintptr, error) {
+	p.engineMu.Lock()
+	defer p.engineMu.Unlock()
+	if p.ctxPtr == 0 {
+		return 0, grpcerrors.ModelNotLoaded("parakeet-cpp")
+	}
+	if CppStreamBeginLang != nil {
+		return CppStreamBeginLang(p.ctxPtr, lang), nil
+	}
+	return CppStreamBegin(p.ctxPtr), nil
+}
+
+func (p *ParakeetCpp) streamFree(stream uintptr) {
+	if stream == 0 {
+		return
+	}
+	p.engineMu.Lock()
+	defer p.engineMu.Unlock()
+	CppStreamFree(stream)
+}
+
+// streamFeedText runs one text-mode feed (or the finalize flush when
+// finalize is true) under engineMu, returning the newly-finalized delta and
+// whether an <EOU>/<EOB> fired during the call.
+func (p *ParakeetCpp) streamFeedText(stream uintptr, pcm []float32, finalize bool) (delta string, eou, eob bool, err error) {
+	p.engineMu.Lock()
+	defer p.engineMu.Unlock()
+	if p.ctxPtr == 0 {
+		return "", false, false, grpcerrors.ModelNotLoaded("parakeet-cpp")
+	}
+	var ret uintptr
+	var events int32
+	if finalize {
+		ret = CppStreamFinalize(stream)
+	} else {
+		ret = CppStreamFeed(stream, pcm, int32(len(pcm)), unsafe.Pointer(&events))
+	}
+	if ret == 0 {
+		// last_error is ctx-shared: read it under the same lock as the call.
+		msg := CppLastError(p.ctxPtr)
+		if msg == "" {
+			msg = "unknown error"
+		}
+		return "", false, false, fmt.Errorf("parakeet-cpp: stream feed/finalize failed: %s", msg)
+	}
+	delta = goStringFromCPtr(ret)
+	CppFreeString(ret)
+	// ABI v5: eou_out is a bitmask (bit 0 = <EOU>, bit 1 = <EOB>). A v4
+	// library sets 0/1 for either token, which the bit-0 test reads as the
+	// old conflated eou — the EOB distinction simply isn't available there.
+	return delta, events&1 != 0, events&2 != 0, nil
+}
+
+// streamFeedDoc runs one ABI v4 JSON feed (or finalize) under engineMu and
+// returns the parsed {text,eou,frame_sec,words} document.
+func (p *ParakeetCpp) streamFeedDoc(stream uintptr, pcm []float32, finalize bool) (streamFeedJSON, error) {
+	p.engineMu.Lock()
+	defer p.engineMu.Unlock()
+	if p.ctxPtr == 0 {
+		return streamFeedJSON{}, grpcerrors.ModelNotLoaded("parakeet-cpp")
+	}
+	var ret uintptr
+	if finalize {
+		ret = CppStreamFinalizeJSON(stream)
+	} else {
+		ret = CppStreamFeedJSON(stream, pcm, int32(len(pcm)))
+	}
+	if ret == 0 {
+		msg := CppLastError(p.ctxPtr)
+		if msg == "" {
+			msg = "unknown error"
+		}
+		return streamFeedJSON{}, fmt.Errorf("parakeet-cpp: stream feed/finalize failed: %s", msg)
+	}
+	raw := goStringFromCPtr(ret)
+	CppFreeString(ret)
+	var doc streamFeedJSON
+	if err := json.Unmarshal([]byte(raw), &doc); err != nil {
+		return streamFeedJSON{}, fmt.Errorf("parakeet-cpp: decode stream json: %w", err)
+	}
+	return doc, nil
+}
+
 // AudioTranscriptionStream drives the cache-aware streaming RNN-T over the
-// audio at opts.Dst: it decodes the file to 16 kHz mono PCM, feeds it in
-// chunks to parakeet_capi_stream_feed, and emits each newly-finalized text
-// run as a TranscriptStreamResponse delta. <EOU>/<EOB> events close the
-// current segment; a closing FinalResult carries the full transcript and the
-// per-utterance segments.
+// audio at opts.Dst: it decodes the file to 16 kHz mono PCM, feeds it through
+// the shared decode driver (feedSlices/flushTail), and emits each
+// newly-finalized text run as a TranscriptStreamResponse delta. <EOU>/<EOB>
+// events close the current segment; a closing FinalResult carries the full
+// transcript, the per-utterance segments, and whether the file ended on an
+// utterance boundary.
 //
 // stream_begin returns 0 for models that are not cache-aware streaming models
-// (only e.g. nvidia/parakeet_realtime_eou_120m-v1 qualifies). For those we fall
-// back to a single offline transcription emitted as one delta plus a closing
-// FinalResult, matching LocalAI's non-streaming streaming contract (and the
-// whisper backend), so the streaming endpoint works for every model.
+// (only e.g. nvidia/parakeet_realtime_eou_120m-v1 qualifies). For those this
+// returns codes.Unimplemented rather than faking a stream from an offline
+// decode — see the stream==0 branch and grpcerrors.StreamTranscriptionUnsupported.
 func (p *ParakeetCpp) AudioTranscriptionStream(ctx context.Context, opts *pb.TranscriptRequest, results chan *pb.TranscriptStreamResponse) error {
 	defer close(results)
 
@@ -560,185 +695,73 @@ func (p *ParakeetCpp) AudioTranscriptionStream(ctx context.Context, opts *pb.Tra
 		return status.Error(codes.Canceled, "transcription cancelled")
 	}
 
-	var stream uintptr
-	if CppStreamBeginLang != nil {
-		stream = CppStreamBeginLang(p.ctxPtr, opts.GetLanguage())
-	} else {
-		stream = CppStreamBegin(p.ctxPtr)
+	stream, err := p.streamBegin(opts.GetLanguage())
+	if err != nil {
+		return err
 	}
 	if stream == 0 {
-		// Not a cache-aware streaming model: run a normal offline
-		// transcription and emit it as one delta + a closing final result.
-		res, err := p.AudioTranscription(ctx, opts)
-		if err != nil {
-			return err
-		}
-		if t := strings.TrimSpace(res.Text); t != "" {
-			results <- &pb.TranscriptStreamResponse{Delta: t}
-		}
-		results <- &pb.TranscriptStreamResponse{FinalResult: &res}
-		return nil
+		// Not a cache-aware streaming model. Report the missing capability
+		// honestly instead of decoding offline and emitting it as one "delta"
+		// + final: a client that asked for streaming must learn the model
+		// cannot stream, not receive a batch result dressed as a stream (which
+		// is indistinguishable except qualitatively, and silently breaks any
+		// feature that genuinely needs incremental output). Callers wanting a
+		// plain transcript use the unary AudioTranscription path. This mirrors
+		// AudioTranscriptionLive, which already returns Unimplemented here.
+		return grpcerrors.StreamTranscriptionUnsupported("parakeet-cpp",
+			"loaded model is not a cache-aware streaming model")
 	}
-	defer CppStreamFree(stream)
-	// The C engine is a single shared context: a streaming session and a batched
-	// unary dispatch must never touch it at once, so hold engineMu for the whole
-	// stream. This lock is intentionally taken AFTER the non-streaming fallback
-	// above returns: that fallback goes through AudioTranscription -> the batcher
-	// -> runBatch, which itself acquires engineMu, so locking here first would
-	// deadlock. Do not hoist this lock above the fallback.
-	p.engineMu.Lock()
-	defer p.engineMu.Unlock()
+	defer p.streamFree(stream)
 
 	data, duration, err := decodeWavMono16k(opts.Dst)
 	if err != nil {
 		return err
 	}
 
-	// ABI v4: when the streaming JSON entry points are present, drive them so the
-	// per-utterance segments carry per-word start/end timestamps. Falls through to
-	// the text-only loop below against an older libparakeet.so. Runs under the
-	// engineMu already held above.
-	if CppStreamFeedJSON != nil {
-		return p.streamJSON(ctx, stream, data, duration, results)
-	}
-
+	// Fold the shared decode driver's per-feed increments into the streamed
+	// deltas and the closing batch result: words/text accumulate into
+	// per-utterance segments (streamSegmenter), and the utterance-boundary
+	// latch (boundary.go) records whether the file ended on an <EOU>. These
+	// are the offline path's concern — the live RPC carries none of them.
 	var (
 		full     strings.Builder
-		segText  strings.Builder
-		segments []*pb.TranscriptSegment
-		segID    int32
+		seg      streamSegmenter
+		boundary utteranceBoundary
 	)
-
-	flushSegment := func() {
-		t := strings.TrimSpace(segText.String())
-		segText.Reset()
-		if t == "" {
-			return
+	emit := func(r streamFeedResult) error {
+		if r.Delta != "" {
+			full.WriteString(r.Delta)
+			results <- &pb.TranscriptStreamResponse{Delta: r.Delta}
 		}
-		segments = append(segments, &pb.TranscriptSegment{Id: segID, Text: t})
-		segID++
-	}
-
-	// emitDelta consumes the malloc'd char* returned by feed/finalize: frees
-	// it, accumulates the text, and sends a delta when non-empty. A 0 return
-	// is an error (vs the "" empty-but-non-NULL no-new-text case).
-	emitDelta := func(ret uintptr) error {
-		if ret == 0 {
-			msg := CppLastError(p.ctxPtr)
-			if msg == "" {
-				msg = "unknown error"
-			}
-			return fmt.Errorf("parakeet-cpp: stream feed/finalize failed: %s", msg)
-		}
-		delta := goStringFromCPtr(ret)
-		CppFreeString(ret)
-		if delta == "" {
-			return nil
-		}
-		full.WriteString(delta)
-		segText.WriteString(delta)
-		results <- &pb.TranscriptStreamResponse{Delta: delta}
+		seg.add(r)
+		boundary = boundary.observe(r)
 		return nil
 	}
 
-	for off := 0; off < len(data); off += streamChunkSamples {
-		if err := ctx.Err(); err != nil {
-			return status.Error(codes.Canceled, "transcription cancelled")
-		}
-		end := min(off+streamChunkSamples, len(data))
-		chunk := data[off:end]
-
-		var eou int32
-		ret := CppStreamFeed(stream, chunk, int32(len(chunk)), unsafe.Pointer(&eou))
-		if err := emitDelta(ret); err != nil {
-			return err
-		}
-		if eou != 0 {
-			flushSegment()
-		}
-	}
-
-	// Flush the streaming tail (final encoder chunk).
-	if err := emitDelta(CppStreamFinalize(stream)); err != nil {
+	if err := p.feedSlices(ctx, stream, data, emit); err != nil {
 		return err
 	}
-	flushSegment()
-
-	text := strings.TrimSpace(full.String())
-	if len(segments) == 0 && text != "" {
-		segments = append(segments, &pb.TranscriptSegment{Id: 0, Text: text})
-	}
-	results <- &pb.TranscriptStreamResponse{
-		FinalResult: &pb.TranscriptResult{
-			Text:     text,
-			Segments: segments,
-			Duration: duration,
-		},
-	}
-	return nil
-}
-
-// streamJSON drives the streaming JSON entry points (present since ABI v4): each
-// feed/finalize returns a {text,eou,eob,frame_sec,words} document. The
-// newly-finalized text is emitted as a delta (unchanged streaming contract)
-// while words are accumulated into per-utterance segments (closed on <EOU> or
-// <EOB>) so the closing FinalResult carries timestamped segments. Runs under
-// engineMu (already held by the caller).
-func (p *ParakeetCpp) streamJSON(ctx context.Context, stream uintptr, data []float32,
-	duration float32, results chan *pb.TranscriptStreamResponse) error {
-	var (
-		full strings.Builder
-		seg  streamSegmenter
-	)
-	// consume frees the malloc'd char* (a 0 return is an error), parses the JSON,
-	// emits the delta, and routes words through the segmenter.
-	consume := func(ret uintptr) error {
-		if ret == 0 {
-			msg := CppLastError(p.ctxPtr)
-			if msg == "" {
-				msg = "unknown error"
-			}
-			return fmt.Errorf("parakeet-cpp: stream feed/finalize failed: %s", msg)
-		}
-		raw := goStringFromCPtr(ret)
-		CppFreeString(ret)
-		var doc streamFeedJSON
-		if err := json.Unmarshal([]byte(raw), &doc); err != nil {
-			return fmt.Errorf("parakeet-cpp: decode stream json: %w", err)
-		}
-		if doc.Text != "" {
-			full.WriteString(doc.Text)
-			results <- &pb.TranscriptStreamResponse{Delta: doc.Text}
-		}
-		seg.add(doc)
-		return nil
-	}
-
-	for off := 0; off < len(data); off += streamChunkSamples {
-		if err := ctx.Err(); err != nil {
-			return status.Error(codes.Canceled, "transcription cancelled")
-		}
-		end := min(off+streamChunkSamples, len(data))
-		chunk := data[off:end]
-		if err := consume(CppStreamFeedJSON(stream, chunk, int32(len(chunk)))); err != nil {
-			return err
-		}
-	}
-	if err := consume(CppStreamFinalizeJSON(stream)); err != nil {
+	if err := p.flushTail(stream, emit); err != nil {
 		return err
 	}
-	seg.flush() // close any trailing utterance that never saw an EOU
+	seg.flush() // close a trailing utterance that never saw an <EOU>
 
-	text := strings.TrimSpace(full.String())
+	// final.Text is the exact concatenation of the streamed deltas (full is
+	// their accumulation), so concat(deltas) == FinalResult.Text holds even
+	// when the model prepends a leading space to the first word (SentencePiece
+	// detokenization). This matches the whisper backend's streaming contract.
+	// The single-segment fallback stays trimmed.
+	fullText := full.String()
 	segments := seg.segments()
-	if len(segments) == 0 && text != "" {
-		segments = append(segments, &pb.TranscriptSegment{Id: 0, Text: text})
+	if trimmed := strings.TrimSpace(fullText); len(segments) == 0 && trimmed != "" {
+		segments = append(segments, &pb.TranscriptSegment{Id: 0, Text: trimmed})
 	}
 	results <- &pb.TranscriptStreamResponse{
 		FinalResult: &pb.TranscriptResult{
-			Text:     text,
+			Text:     fullText,
 			Segments: segments,
 			Duration: duration,
+			Eou:      boundary.ended(),
 		},
 	}
 	return nil
@@ -803,6 +826,10 @@ func (p *ParakeetCpp) Free() error {
 		close(p.batStop)
 		p.batStop = nil
 	}
+	// engineMu so an in-flight streaming call (which locks per C call and
+	// re-checks ctxPtr under the lock) can never feed into a freed ctx.
+	p.engineMu.Lock()
+	defer p.engineMu.Unlock()
 	if p.ctxPtr != 0 {
 		CppFree(p.ctxPtr)
 		p.ctxPtr = 0

backend/go/parakeet-cpp/goparakeetcpp_test.go

@@ -14,6 +14,8 @@ import (
 	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
 	. "github.com/onsi/ginkgo/v2"
 	. "github.com/onsi/gomega"
+	"google.golang.org/grpc/codes"
+	"google.golang.org/grpc/status"
 )
 
 func TestParakeetCpp(t *testing.T) {
@@ -201,6 +203,29 @@ var _ = Describe("ParakeetCpp", func() {
 	})
 
 	Context("AudioTranscriptionStream", func() {
+		It("returns the typed Unimplemented signal for non-streaming models (no offline fallback)", func() {
+			// stream_begin == 0 means the loaded model is not a cache-aware
+			// streaming model. The backend must surface that, not silently
+			// decode offline and fake a one-shot "stream".
+			savedBegin, savedBeginLang := CppStreamBegin, CppStreamBeginLang
+			defer func() { CppStreamBegin, CppStreamBeginLang = savedBegin, savedBeginLang }()
+			CppStreamBeginLang = nil
+			CppStreamBegin = func(ctx uintptr) uintptr { return 0 }
+
+			p := &ParakeetCpp{ctxPtr: 1}
+			results := make(chan *pb.TranscriptStreamResponse, 8)
+			err := p.AudioTranscriptionStream(context.Background(),
+				&pb.TranscriptRequest{Dst: "ignored.wav"}, results)
+			Expect(status.Code(err)).To(Equal(codes.Unimplemented))
+
+			// Honest signal: nothing was emitted — no faked batch result.
+			var emitted []*pb.TranscriptStreamResponse
+			for r := range results {
+				emitted = append(emitted, r)
+			}
+			Expect(emitted).To(BeEmpty())
+		})
+
 		It("streams deltas and a closing FinalResult from a cache-aware model", func() {
 			// Streaming needs a cache-aware streaming model (e.g.
 			// realtime_eou); the offline test model would fail stream_begin.

backend/go/parakeet-cpp/live.go

@@ -0,0 +1,186 @@
+package main
+
+import (
+	"strings"
+	"time"
+
+	"github.com/mudler/LocalAI/pkg/grpc/grpcerrors"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
+	"github.com/mudler/xlog"
+	"google.golang.org/grpc/codes"
+	"google.golang.org/grpc/status"
+)
+
+// liveSampleRate is the only PCM rate the parakeet C streaming API accepts.
+const liveSampleRate = 16000
+
+// AudioTranscriptionLive drives one cache-aware streaming session over audio
+// fed incrementally by the caller (the realtime API's semantic_vad turn
+// detection). Contract:
+//
+//   - the first request must carry a Config; a Config mid-stream resets the
+//     decode session (free + begin) and drops accumulated transcript state;
+//   - a Ready ack is sent right after a successful stream_begin so callers
+//     can degrade synchronously when the model has no streaming support
+//     (LiveTranscriptionUnsupported, codes.Unimplemented);
+//   - every feed that produced output is forwarded as {delta, eou, words};
+//     the <EOU>/<EOB> flag is the model's own utterance boundary and the
+//     decoder auto-resets after it, so one session spans many utterances;
+//   - closing the send side finalizes: the held-back tail chunk is flushed
+//     (the last ~2 encoder frames of words only appear here) and a terminal
+//     FinalResult carries the full transcript Text only. Per-utterance
+//     segments, duration, and the terminal <EOU> flag are NOT produced here —
+//     the realtime core consumes the streamed per-feed tokens and the final
+//     Text; those batch fields are the file path's concern (see
+//     AudioTranscriptionStream).
+//
+// Engine access is serialized per C call (streamBegin/streamFeed*/streamFree
+// take engineMu internally), never for the session lifetime — unary
+// transcription keeps flowing between feeds.
+func (p *ParakeetCpp) AudioTranscriptionLive(in <-chan *pb.TranscriptLiveRequest, out chan<- *pb.TranscriptLiveResponse) error {
+	defer close(out)
+
+	if p.ctxPtr == 0 {
+		return grpcerrors.ModelNotLoaded("parakeet-cpp")
+	}
+
+	first, ok := <-in
+	if !ok {
+		return nil // caller closed without sending anything
+	}
+	cfg := first.GetConfig()
+	if cfg == nil {
+		return status.Error(codes.InvalidArgument, "parakeet-cpp: first live message must carry a config")
+	}
+	if err := validateLiveConfig(cfg); err != nil {
+		return err
+	}
+
+	stream, err := p.streamBegin(cfg.GetLanguage())
+	if err != nil {
+		return err
+	}
+	if stream == 0 {
+		return grpcerrors.LiveTranscriptionUnsupported("parakeet-cpp",
+			"loaded model is not a cache-aware streaming model")
+	}
+	// stream is reassigned on a mid-stream Config reset; free whatever is
+	// current when the RPC unwinds.
+	defer func() { p.streamFree(stream) }()
+
+	out <- &pb.TranscriptLiveResponse{Ready: true}
+
+	var (
+		full    strings.Builder
+		fedSecs float64
+
+		// behindSec accumulates how far decode wall time has fallen behind
+		// the audio it was fed. A live caller feeds in real time, so a
+		// persistent positive backlog means every downstream signal —
+		// including the <EOU> the turn detector waits on — arrives that many
+		// seconds late. Warned once per session; reset by a Config reset.
+		behindSec    float64
+		behindWarned bool
+	)
+
+	// emit forwards one decode increment: it streams the per-feed tokens the
+	// realtime turn detector consumes (delta/eou/eob/words) and accumulates the
+	// running transcript for the closing FinalResult. No segmentation or
+	// boundary latch here — the live consumer reads only the streamed tokens
+	// and the final Text; per-utterance segments and the terminal <EOU> flag
+	// are an offline-path concern (see AudioTranscriptionStream / boundary.go).
+	emit := func(r streamFeedResult) error {
+		if r.Delta != "" {
+			full.WriteString(r.Delta)
+		}
+		if r.Delta != "" || r.Eou || r.Eob || len(r.Words) > 0 {
+			out <- &pb.TranscriptLiveResponse{
+				Delta: r.Delta,
+				Eou:   r.Eou,
+				Eob:   r.Eob,
+				Words: liveWordsToProto(r.Words),
+			}
+		}
+		return nil
+	}
+
+	for req := range in {
+		switch payload := req.GetPayload().(type) {
+		case *pb.TranscriptLiveRequest_Config:
+			if err := validateLiveConfig(payload.Config); err != nil {
+				return err
+			}
+			// Reset: a fresh decode session, dropping accumulated state.
+			p.streamFree(stream)
+			stream, err = p.streamBegin(payload.Config.GetLanguage())
+			if err != nil {
+				return err
+			}
+			if stream == 0 {
+				return grpcerrors.LiveTranscriptionUnsupported("parakeet-cpp",
+					"loaded model is not a cache-aware streaming model")
+			}
+			full.Reset()
+			fedSecs = 0
+		case *pb.TranscriptLiveRequest_Audio:
+			pcm := payload.Audio.GetPcm()
+			audioSec := float64(len(pcm)) / liveSampleRate
+			fedSecs += audioSec
+			start := time.Now()
+			// nil ctx: a live session is bounded by this request channel, not a
+			// context — cancellation is the caller closing the stream.
+			if err := p.feedSlices(nil, stream, pcm, emit); err != nil {
+				return err
+			}
+			wallSec := time.Since(start).Seconds()
+			behindSec += wallSec - audioSec
+			if behindSec < 0 {
+				behindSec = 0
+			}
+			xlog.Debug("parakeet-cpp: live feed",
+				"audio_ms", int(audioSec*1000), "wall_ms", int(wallSec*1000),
+				"behind_ms", int(behindSec*1000), "fed_s", fedSecs)
+			if behindSec > 1 && !behindWarned {
+				behindWarned = true
+				xlog.Warn("parakeet-cpp: live decode is falling behind real time; "+
+					"end-of-utterance signals will arrive late",
+					"behind_s", behindSec, "fed_s", fedSecs)
+			}
+		}
+	}
+
+	// Send side closed: flush the streaming tail and emit the final transcript.
+	// The live FinalResult carries only Text — the authoritative full-turn
+	// transcript the realtime core commits. Per-utterance segments, duration,
+	// and the terminal <EOU> flag are not produced on the live path.
+	if err := p.flushTail(stream, emit); err != nil {
+		return err
+	}
+	out <- &pb.TranscriptLiveResponse{
+		FinalResult: &pb.TranscriptResult{Text: strings.TrimSpace(full.String())},
+	}
+	return nil
+}
+
+func validateLiveConfig(cfg *pb.TranscriptLiveConfig) error {
+	if sr := cfg.GetSampleRate(); sr != 0 && sr != liveSampleRate {
+		return status.Errorf(codes.InvalidArgument,
+			"parakeet-cpp: unsupported live sample_rate %d (only %d)", sr, liveSampleRate)
+	}
+	return nil
+}
+
+func liveWordsToProto(words []transcriptWord) []*pb.TranscriptWord {
+	if len(words) == 0 {
+		return nil
+	}
+	out := make([]*pb.TranscriptWord, len(words))
+	for i, w := range words {
+		out[i] = &pb.TranscriptWord{
+			Start: secondsToNanos(w.Start),
+			End:   secondsToNanos(w.End),
+			Text:  w.W,
+		}
+	}
+	return out
+}

backend/go/parakeet-cpp/live_test.go

@@ -0,0 +1,417 @@
+package main
+
+import (
+	"sync"
+	"time"
+	"unsafe"
+
+	"github.com/mudler/LocalAI/pkg/grpc/grpcerrors"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
+	. "github.com/onsi/ginkgo/v2"
+	. "github.com/onsi/gomega"
+	"google.golang.org/grpc/codes"
+	"google.golang.org/grpc/status"
+)
+
+// The live-RPC specs drive AudioTranscriptionLive entirely against stubbed
+// Cpp* package vars (the same seam batcher_test.go uses), so they run
+// without libparakeet.so.
+
+// liveCstrPool hands out NUL-terminated C-style strings backed by Go memory
+// and keeps them alive for the duration of a spec (goStringFromCPtr reads
+// through the raw pointer; Go's GC must not collect the backing array while
+// a stub's return value is in flight).
+type liveCstrPool struct {
+	mu   sync.Mutex
+	bufs [][]byte
+}
+
+func (p *liveCstrPool) cstr(s string) uintptr {
+	p.mu.Lock()
+	defer p.mu.Unlock()
+	b := append([]byte(s), 0)
+	p.bufs = append(p.bufs, b)
+	return uintptr(unsafe.Pointer(&b[0]))
+}
+
+// liveStubs swaps every C entry point the live path touches and returns a
+// restore func for AfterEach.
+func liveStubs() (restore func()) {
+	savedBegin, savedBeginLang := CppStreamBegin, CppStreamBeginLang
+	savedFeed, savedFeedJSON := CppStreamFeed, CppStreamFeedJSON
+	savedFinalize, savedFinalizeJSON := CppStreamFinalize, CppStreamFinalizeJSON
+	savedFree, savedLastError := CppStreamFree, CppLastError
+	savedFreeString := CppFreeString
+	return func() {
+		CppStreamBegin, CppStreamBeginLang = savedBegin, savedBeginLang
+		CppStreamFeed, CppStreamFeedJSON = savedFeed, savedFeedJSON
+		CppStreamFinalize, CppStreamFinalizeJSON = savedFinalize, savedFinalizeJSON
+		CppStreamFree, CppLastError = savedFree, savedLastError
+		CppFreeString = savedFreeString
+	}
+}
+
+// runLive starts the RPC on its own goroutine and returns the request
+// channel plus a collector for everything the backend emitted.
+func runLive(p *ParakeetCpp) (chan *pb.TranscriptLiveRequest, chan *pb.TranscriptLiveResponse, chan error) {
+	in := make(chan *pb.TranscriptLiveRequest)
+	out := make(chan *pb.TranscriptLiveResponse, 32)
+	errCh := make(chan error, 1)
+	go func() { errCh <- p.AudioTranscriptionLive(in, out) }()
+	return in, out, errCh
+}
+
+func liveConfig(lang string) *pb.TranscriptLiveRequest {
+	return &pb.TranscriptLiveRequest{
+		Payload: &pb.TranscriptLiveRequest_Config{Config: &pb.TranscriptLiveConfig{Language: lang}},
+	}
+}
+
+func liveAudio(pcm []float32) *pb.TranscriptLiveRequest {
+	return &pb.TranscriptLiveRequest{
+		Payload: &pb.TranscriptLiveRequest_Audio{Audio: &pb.TranscriptLiveAudio{Pcm: pcm}},
+	}
+}
+
+func collectLive(out chan *pb.TranscriptLiveResponse) []*pb.TranscriptLiveResponse {
+	var got []*pb.TranscriptLiveResponse
+	for r := range out {
+		got = append(got, r)
+	}
+	return got
+}
+
+var _ = Describe("AudioTranscriptionLive (stubbed C API)", func() {
+	var (
+		pool    *liveCstrPool
+		restore func()
+		p       *ParakeetCpp
+	)
+
+	BeforeEach(func() {
+		pool = &liveCstrPool{}
+		restore = liveStubs()
+		p = &ParakeetCpp{ctxPtr: 1}
+
+		CppStreamBeginLang = nil
+		CppStreamBegin = func(ctx uintptr) uintptr { return 7 }
+		CppStreamFree = func(s uintptr) {}
+		CppFreeString = func(s uintptr) {}
+		CppLastError = func(ctx uintptr) string { return "stub error" }
+		CppStreamFeed = nil
+		CppStreamFeedJSON = nil
+		CppStreamFinalize = nil
+		CppStreamFinalizeJSON = nil
+	})
+
+	AfterEach(func() { restore() })
+
+	It("rejects a stream whose first message is not a config", func() {
+		in, out, errCh := runLive(p)
+		in <- liveAudio([]float32{0.1})
+		close(in)
+
+		err := <-errCh
+		Expect(status.Code(err)).To(Equal(codes.InvalidArgument))
+		Expect(collectLive(out)).To(BeEmpty())
+	})
+
+	It("rejects a non-16k sample rate", func() {
+		in, _, errCh := runLive(p)
+		in <- &pb.TranscriptLiveRequest{
+			Payload: &pb.TranscriptLiveRequest_Config{Config: &pb.TranscriptLiveConfig{SampleRate: 8000}},
+		}
+		close(in)
+		Expect(status.Code(<-errCh)).To(Equal(codes.InvalidArgument))
+	})
+
+	It("returns the typed Unimplemented signal for non-streaming models, before any ack", func() {
+		CppStreamBegin = func(ctx uintptr) uintptr { return 0 }
+
+		in, out, errCh := runLive(p)
+		in <- liveConfig("")
+		close(in)
+
+		err := <-errCh
+		Expect(grpcerrors.IsLiveTranscriptionUnsupported(err)).To(BeTrue())
+		Expect(collectLive(out)).To(BeEmpty())
+	})
+
+	It("streams deltas, eou flags and words on the JSON path and finalizes on close", func() {
+		var freed []uintptr
+		CppStreamFree = func(s uintptr) { freed = append(freed, s) }
+		feeds := 0
+		CppStreamFeedJSON = func(s uintptr, pcm []float32, n int32) uintptr {
+			feeds++
+			switch feeds {
+			case 1:
+				return pool.cstr(`{"text":"hello ","eou":0,"frame_sec":0.08,` +
+					`"words":[{"w":"hello","start":0.1,"end":0.4,"conf":0.9}]}`)
+			default:
+				return pool.cstr(`{"text":"world","eou":1,"frame_sec":0.08,` +
+					`"words":[{"w":"world","start":0.5,"end":0.8,"conf":0.9}]}`)
+			}
+		}
+		CppStreamFinalizeJSON = func(s uintptr) uintptr {
+			return pool.cstr(`{"text":"","eou":0,"frame_sec":0.08,"words":[]}`)
+		}
+
+		in, out, errCh := runLive(p)
+		in <- liveConfig("en")
+		in <- liveAudio(make([]float32, 100))
+		in <- liveAudio(make([]float32, 200))
+		close(in)
+		Expect(<-errCh).NotTo(HaveOccurred())
+
+		got := collectLive(out)
+		Expect(got).To(HaveLen(4)) // ready, two deltas, final
+
+		Expect(got[0].Ready).To(BeTrue())
+
+		Expect(got[1].Delta).To(Equal("hello "))
+		Expect(got[1].Eou).To(BeFalse())
+		Expect(got[1].Words).To(HaveLen(1))
+		Expect(got[1].Words[0].Text).To(Equal("hello"))
+
+		Expect(got[2].Delta).To(Equal("world"))
+		Expect(got[2].Eou).To(BeTrue())
+
+		final := got[3].FinalResult
+		Expect(final).NotTo(BeNil())
+		Expect(final.Text).To(Equal("hello world"))
+		// The live FinalResult carries only Text. Per-utterance segments,
+		// duration and the terminal eou flag are an offline-path concern (see
+		// boundary.go / AudioTranscriptionStream); the realtime core reads the
+		// streamed per-feed tokens above plus this Text.
+		Expect(final.Eou).To(BeFalse())
+		Expect(final.Segments).To(BeEmpty())
+		Expect(final.Duration).To(BeZero())
+
+		Expect(freed).To(Equal([]uintptr{7}))
+	})
+
+	It("falls back to the text feed (eou out-param) when the JSON entry points are absent", func() {
+		feeds := 0
+		CppStreamFeed = func(s uintptr, pcm []float32, n int32, eouOut unsafe.Pointer) uintptr {
+			feeds++
+			if feeds == 2 {
+				*(*int32)(eouOut) = 1
+				return pool.cstr("done")
+			}
+			return pool.cstr("first ")
+		}
+		CppStreamFinalize = func(s uintptr) uintptr { return pool.cstr("") }
+
+		in, out, errCh := runLive(p)
+		in <- liveConfig("")
+		in <- liveAudio(make([]float32, 10))
+		in <- liveAudio(make([]float32, 10))
+		close(in)
+		Expect(<-errCh).NotTo(HaveOccurred())
+
+		got := collectLive(out)
+		Expect(got).To(HaveLen(4))
+		Expect(got[1].Delta).To(Equal("first "))
+		Expect(got[1].Eou).To(BeFalse())
+		Expect(got[2].Delta).To(Equal("done"))
+		Expect(got[2].Eou).To(BeTrue())
+		Expect(got[3].FinalResult.Text).To(Equal("first done"))
+	})
+
+	It("forwards <EOB> as eob — a backchannel, never an eou (ABI v5 JSON)", func() {
+		feeds := 0
+		CppStreamFeedJSON = func(s uintptr, pcm []float32, n int32) uintptr {
+			feeds++
+			if feeds == 1 {
+				return pool.cstr(`{"text":"uh-huh","eou":0,"eob":1,"frame_sec":0.08,` +
+					`"words":[{"w":"uh-huh","start":0.1,"end":0.3,"conf":0.9}]}`)
+			}
+			return pool.cstr(`{"text":"the turn","eou":1,"eob":0,"frame_sec":0.08,` +
+				`"words":[{"w":"the","start":0.5,"end":0.6,"conf":0.9},{"w":"turn","start":0.6,"end":0.8,"conf":0.9}]}`)
+		}
+		CppStreamFinalizeJSON = func(s uintptr) uintptr {
+			return pool.cstr(`{"text":"","eou":0,"eob":0,"frame_sec":0.08,"words":[]}`)
+		}
+
+		in, out, errCh := runLive(p)
+		in <- liveConfig("")
+		in <- liveAudio(make([]float32, 10))
+		in <- liveAudio(make([]float32, 10))
+		close(in)
+		Expect(<-errCh).NotTo(HaveOccurred())
+
+		got := collectLive(out)
+		Expect(got).To(HaveLen(4))
+		Expect(got[1].Eob).To(BeTrue())
+		Expect(got[1].Eou).To(BeFalse(), "a backchannel must not masquerade as a turn boundary")
+		Expect(got[2].Eou).To(BeTrue())
+	})
+
+	It("maps the v5 eou_out bitmask on the text path (bit0 <EOU>, bit1 <EOB>)", func() {
+		feeds := 0
+		CppStreamFeed = func(s uintptr, pcm []float32, n int32, eouOut unsafe.Pointer) uintptr {
+			feeds++
+			if feeds == 1 {
+				*(*int32)(eouOut) = 2 // <EOB> only
+				return pool.cstr("uh-huh")
+			}
+			*(*int32)(eouOut) = 1 // <EOU>
+			return pool.cstr(" done")
+		}
+		CppStreamFinalize = func(s uintptr) uintptr { return pool.cstr("") }
+
+		in, out, errCh := runLive(p)
+		in <- liveConfig("")
+		in <- liveAudio(make([]float32, 10))
+		in <- liveAudio(make([]float32, 10))
+		close(in)
+		Expect(<-errCh).NotTo(HaveOccurred())
+
+		got := collectLive(out)
+		Expect(got).To(HaveLen(4))
+		Expect(got[1].Eob).To(BeTrue())
+		Expect(got[1].Eou).To(BeFalse())
+		Expect(got[2].Eou).To(BeTrue())
+		Expect(got[2].Eob).To(BeFalse())
+	})
+
+	It("accumulates trailing text after an EOU into the final transcript", func() {
+		feeds := 0
+		CppStreamFeedJSON = func(s uintptr, pcm []float32, n int32) uintptr {
+			feeds++
+			if feeds == 1 {
+				return pool.cstr(`{"text":"turn one","eou":1,"frame_sec":0.08,"words":[]}`)
+			}
+			return pool.cstr(`{"text":" and more","eou":0,"frame_sec":0.08,"words":[]}`)
+		}
+		CppStreamFinalizeJSON = func(s uintptr) uintptr {
+			return pool.cstr(`{"text":"","eou":0,"frame_sec":0.08,"words":[]}`)
+		}
+
+		in, out, errCh := runLive(p)
+		in <- liveConfig("")
+		in <- liveAudio(make([]float32, 10))
+		in <- liveAudio(make([]float32, 10))
+		close(in)
+		Expect(<-errCh).NotTo(HaveOccurred())
+
+		got := collectLive(out)
+		final := got[len(got)-1].FinalResult
+		Expect(final.Text).To(Equal("turn one and more"))
+	})
+
+	It("resets the decode session on a mid-stream config", func() {
+		var begun, freed int
+		CppStreamBegin = func(ctx uintptr) uintptr { begun++; return uintptr(10 + begun) }
+		CppStreamFree = func(s uintptr) { freed++ }
+		CppStreamFeedJSON = func(s uintptr, pcm []float32, n int32) uintptr {
+			return pool.cstr(`{"text":"x","eou":0,"frame_sec":0.08,"words":[]}`)
+		}
+		CppStreamFinalizeJSON = func(s uintptr) uintptr {
+			return pool.cstr(`{"text":"","eou":0,"frame_sec":0.08,"words":[]}`)
+		}
+
+		in, out, errCh := runLive(p)
+		in <- liveConfig("")
+		in <- liveAudio(make([]float32, 10))
+		in <- liveConfig("") // reset
+		in <- liveAudio(make([]float32, 10))
+		close(in)
+		Expect(<-errCh).NotTo(HaveOccurred())
+
+		got := collectLive(out)
+		final := got[len(got)-1].FinalResult
+		Expect(final.Text).To(Equal("x"), "pre-reset transcript dropped")
+		Expect(begun).To(Equal(2))
+		Expect(freed).To(Equal(2), "old session freed on reset, new one on unwind")
+	})
+
+	It("does not hold engineMu between feeds (unary work interleaves with a live session)", func() {
+		CppStreamFeedJSON = func(s uintptr, pcm []float32, n int32) uintptr {
+			return pool.cstr(`{"text":"","eou":0,"frame_sec":0.08,"words":[]}`)
+		}
+		CppStreamFinalizeJSON = func(s uintptr) uintptr {
+			return pool.cstr(`{"text":"","eou":0,"frame_sec":0.08,"words":[]}`)
+		}
+
+		in, out, errCh := runLive(p)
+		in <- liveConfig("")
+		in <- liveAudio(make([]float32, 10))
+
+		// The session is open and idle between feeds: the engine lock must be
+		// acquirable, which is what lets batched unary transcription proceed
+		// mid-session. Under stream-lifetime locking this probe would block
+		// until the stream ended and the Eventually would time out.
+		locked := make(chan struct{})
+		go func() {
+			p.engineMu.Lock()
+			p.engineMu.Unlock() //nolint:staticcheck // probe: acquire-release proves availability
+			close(locked)
+		}()
+		Eventually(locked, time.Second).Should(BeClosed())
+
+		close(in)
+		Expect(<-errCh).NotTo(HaveOccurred())
+		collectLive(out)
+	})
+
+	It("errors out and reads last_error under the lock when a feed fails", func() {
+		CppStreamFeedJSON = func(s uintptr, pcm []float32, n int32) uintptr { return 0 }
+
+		in, out, errCh := runLive(p)
+		in <- liveConfig("")
+		in <- liveAudio(make([]float32, 10))
+
+		err := <-errCh
+		Expect(err).To(MatchError(ContainSubstring("stub error")))
+		got := collectLive(out)
+		Expect(got).To(HaveLen(1)) // just the ready ack
+		close(in)
+	})
+})
+
+var _ = Describe("stripEouMarker", func() {
+	It("strips a trailing <EOU> and reports it", func() {
+		text, eou := stripEouMarker("it is certainly very like the old portrait<EOU>")
+		Expect(text).To(Equal("it is certainly very like the old portrait"))
+		Expect(eou).To(BeTrue())
+	})
+
+	It("strips a trailing <EOB> WITHOUT reporting an utterance end", func() {
+		// A decode ending on a backchannel must not confirm the
+		// retranscribe gate — the user was acknowledging, not yielding.
+		text, eou := stripEouMarker("uh-huh<EOB>")
+		Expect(text).To(Equal("uh-huh"))
+		Expect(eou).To(BeFalse())
+	})
+
+	It("leaves marker-free text alone", func() {
+		text, eou := stripEouMarker("plain transcript")
+		Expect(text).To(Equal("plain transcript"))
+		Expect(eou).To(BeFalse())
+	})
+
+	It("does not strip a marker in the middle of the text", func() {
+		text, eou := stripEouMarker("a<EOU>b")
+		Expect(text).To(Equal("a<EOU>b"))
+		Expect(eou).To(BeFalse())
+	})
+})
+
+var _ = Describe("transcriptResultFromDoc EOU handling", func() {
+	It("strips the offline marker from text and sets the result flag", func() {
+		doc := transcriptJSON{Text: "the old portrait<EOU>"}
+		res := transcriptResultFromDoc(doc, &pb.TranscriptRequest{}, 0)
+		Expect(res.Text).To(Equal("the old portrait"))
+		Expect(res.Eou).To(BeTrue())
+		Expect(res.Segments).To(HaveLen(1))
+		Expect(res.Segments[0].Text).To(Equal("the old portrait"))
+	})
+
+	It("reports eou=false for marker-free decodes", func() {
+		doc := transcriptJSON{Text: "no marker here"}
+		res := transcriptResultFromDoc(doc, &pb.TranscriptRequest{}, 0)
+		Expect(res.Text).To(Equal("no marker here"))
+		Expect(res.Eou).To(BeFalse())
+	})
+})

backend/go/parakeet-cpp/segments_test.go

@@ -106,7 +106,7 @@ var _ = Describe("transcriptResultFromDoc (multi-segment)", func() {
 var _ = Describe("streaming segment assembly", func() {
 	It("closes a segment with start/end from its words on EOU", func() {
 		acc := &streamSegmenter{}
-		acc.add(streamFeedJSON{Text: "hello world", Eou: 1, Words: []transcriptWord{
+		acc.add(streamFeedResult{Delta: "hello world", Eou: true, Words: []transcriptWord{
 			{W: "hello", Start: 0.0, End: 0.4}, {W: "world", Start: 0.4, End: 0.9},
 		}})
 		segs := acc.segments()
@@ -118,9 +118,9 @@ var _ = Describe("streaming segment assembly", func() {
 
 	It("buffers words across feeds until EOU", func() {
 		acc := &streamSegmenter{}
-		acc.add(streamFeedJSON{Text: "hi", Eou: 0, Words: []transcriptWord{{W: "hi", Start: 0, End: 0.3}}})
+		acc.add(streamFeedResult{Delta: "hi", Words: []transcriptWord{{W: "hi", Start: 0, End: 0.3}}})
 		Expect(acc.segments()).To(BeEmpty())
-		acc.add(streamFeedJSON{Text: "there", Eou: 1, Words: []transcriptWord{{W: "there", Start: 0.3, End: 0.7}}})
+		acc.add(streamFeedResult{Delta: "there", Eou: true, Words: []transcriptWord{{W: "there", Start: 0.3, End: 0.7}}})
 		Expect(acc.segments()).To(HaveLen(1))
 		Expect(acc.segments()[0].Text).To(Equal("hi there"))
 	})
@@ -129,7 +129,7 @@ var _ = Describe("streaming segment assembly", func() {
 	// field; a backchannel must still close the segment as it did in v4.
 	It("closes a segment on EOB (backchannel) too", func() {
 		acc := &streamSegmenter{}
-		acc.add(streamFeedJSON{Text: "uh huh", Eou: 0, Eob: 1, Words: []transcriptWord{
+		acc.add(streamFeedResult{Delta: "uh huh", Eob: true, Words: []transcriptWord{
 			{W: "uh", Start: 0.0, End: 0.2}, {W: "huh", Start: 0.2, End: 0.5},
 		}})
 		segs := acc.segments()
@@ -137,4 +137,18 @@ var _ = Describe("streaming segment assembly", func() {
 		Expect(segs[0].Text).To(Equal("uh huh"))
 		Expect(segs[0].End).To(Equal(secondsToNanos(0.5)))
 	})
+
+	// Older text-only libparakeet.so: no per-word timings, so a segment is cut
+	// from the delta text on each <EOU>/<EOB> (no timestamps), one per utterance.
+	It("falls back to text segments when the feed carries no words", func() {
+		acc := &streamSegmenter{}
+		acc.add(streamFeedResult{Delta: "first turn", Eou: true})
+		acc.add(streamFeedResult{Delta: "second turn", Eou: true})
+		segs := acc.segments()
+		Expect(segs).To(HaveLen(2))
+		Expect(segs[0].Text).To(Equal("first turn"))
+		Expect(segs[1].Text).To(Equal("second turn"))
+		Expect(segs[0].Start).To(Equal(int64(0)), "no per-word timing on the text path")
+		Expect(segs[0].End).To(Equal(int64(0)))
+	})
 })

backend/go/qwen3-tts-cpp/CMakeLists.txt

@@ -30,7 +30,7 @@ target_include_directories(goqwen3ttscpp PRIVATE ${QWENTTS_DIR}/src)
 target_include_directories(goqwen3ttscpp SYSTEM PRIVATE ${QWENTTS_DIR}/ggml/include)
 
 # Link GPU backends if the upstream ggml created them.
-foreach(backend blas cuda metal vulkan sycl)
+foreach(backend blas cuda hip metal vulkan sycl)
     if(TARGET ggml-${backend})
         target_link_libraries(goqwen3ttscpp PRIVATE ggml-${backend})
         if(backend STREQUAL "cuda")

backend/go/qwen3-tts-cpp/Makefile

@@ -8,7 +8,7 @@ JOBS?=$(shell nproc --ignore=1)
 
 # qwentts.cpp version
 QWEN3TTS_REPO?=https://github.com/ServeurpersoCom/qwentts.cpp
-QWEN3TTS_CPP_VERSION?=9dbe7ea26a01b30fccb117ae5e86807c1dc23d42
+QWEN3TTS_CPP_VERSION?=d17c33d4ee2f56d15f9ca8a1bb82f7389305f838
 SO_TARGET?=libgoqwen3ttscpp.so
 
 CMAKE_ARGS+=-DBUILD_SHARED_LIBS=OFF
@@ -24,7 +24,14 @@ else ifeq ($(BUILD_TYPE),openblas)
 else ifeq ($(BUILD_TYPE),clblas)
 	CMAKE_ARGS+=-DGGML_CLBLAST=ON -DCLBlast_DIR=/some/path
 else ifeq ($(BUILD_TYPE),hipblas)
-	CMAKE_ARGS+=-DGGML_HIPBLAS=ON
+	# This ggml only understands GGML_HIP (GGML_HIPBLAS was removed upstream),
+	# so passing GGML_HIPBLAS silently produced a CPU-only build (see #10666).
+	ROCM_HOME ?= /opt/rocm
+	ROCM_PATH ?= /opt/rocm
+	export CXX=$(ROCM_HOME)/llvm/bin/clang++
+	export CC=$(ROCM_HOME)/llvm/bin/clang
+	AMDGPU_TARGETS ?= gfx908,gfx90a,gfx942,gfx950,gfx1030,gfx1100,gfx1101,gfx1102,gfx1151,gfx1200,gfx1201
+	CMAKE_ARGS+=-DGGML_HIP=ON -DAMDGPU_TARGETS=$(AMDGPU_TARGETS)
 else ifeq ($(BUILD_TYPE),vulkan)
 	CMAKE_ARGS+=-DGGML_VULKAN=ON
 else ifeq ($(OS),Darwin)

backend/go/qwen3-tts-cpp/README.md

@@ -0,0 +1,85 @@
+# Qwen3-TTS C++ backend
+
+This backend runs Qwen3-TTS GGUF models through
+[qwentts.cpp](https://github.com/ServeurpersoCom/qwentts.cpp). It supports
+24 kHz speech generation, streaming, named speakers, voice design, and
+reference-audio cloning depending on the model variant.
+
+## Gallery models
+
+The following Base models accept LocalAI Voice Library profiles:
+
+- `qwen3-tts-cpp`
+- `qwen3-tts-cpp-0.6b-base-q4`
+- `qwen3-tts-cpp-1.7b-base`
+- `qwen3-tts-cpp-1.7b-base-q4`
+
+Gallery models containing `customvoice` or `voicedesign` implement those Qwen
+modes instead and are not advertised as raw reference-audio models.
+
+Install a Base model with:
+
+```bash
+local-ai models install qwen3-tts-cpp
+```
+
+## Model configuration
+
+Base filenames are detected automatically. Set `tts.voice_cloning` only when a
+verified private conversion has a name that does not identify it as a Base or
+VoiceClone model:
+
+```yaml
+name: private-qwen-voice
+backend: qwen3-tts-cpp
+parameters:
+  model: qwen-private/talker.gguf
+known_usecases:
+  - tts
+tts:
+  voice_cloning: true
+  audio_path: voices/default-reference.wav  # optional model-wide fallback
+```
+
+The tokenizer GGUF is auto-discovered when its filename contains `tokenizer`
+and it is stored beside the talker. Otherwise set
+`options: ["tokenizer:qwen-private/tokenizer.gguf"]`.
+
+`tts.voice_cloning: false` removes a model from Voice Library compatibility
+results and rejects saved `localai://voice-profiles/...` references. It does
+not disable Qwen's named-speaker or VoiceDesign modes. Setting it to `true`
+cannot add cloning to a backend that lacks LocalAI's reference-audio contract.
+
+Request precedence is: a request `voice`, then `tts.voice`, then
+`tts.audio_path`. A saved profile supplies its private WAV and exact transcript
+for that request without changing the model YAML.
+
+## API example
+
+Create or select a profile in **Operate → Voice Library**, then pass its stable
+URI to either speech endpoint:
+
+```bash
+curl http://localhost:8080/v1/audio/speech \
+  -H 'Content-Type: application/json' \
+  -d '{
+    "model": "qwen3-tts-cpp",
+    "input": "This request uses a saved reference voice.",
+    "voice": "localai://voice-profiles/PROFILE_ID"
+  }' \
+  --output speech.wav
+```
+
+## Native end-to-end test
+
+The labeled test loads real GGUFs, synthesizes speech, streams audio, and
+exercises cloning with a generated 24 kHz reference WAV:
+
+```bash
+make -C backend/go/qwen3-tts-cpp qwen3-tts-cpp
+
+QWEN3TTS_MODEL=/path/to/qwen-talker-0.6b-base-Q8_0.gguf \
+QWEN3TTS_CODEC=/path/to/qwen-tokenizer-12hz-Q8_0.gguf \
+QWEN3TTS_LIBRARY=backend/go/qwen3-tts-cpp/libgoqwen3ttscpp-fallback.so \
+  go test ./backend/go/qwen3-tts-cpp -ginkgo.label-filter=e2e
+```

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?=8caa3f908ae6d4a4bef531e73b9a969f266a3d1f
+STABLEDIFFUSION_GGML_VERSION?=b5d812008eb7082a238fc589444544b3278187ae
 
 CMAKE_ARGS+=-DGGML_MAX_NAME=128
 

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

@@ -660,9 +660,16 @@ int load_model(const char *model, char *model_path, char* options[], int threads
     ctx_params.diffusion_conv_direct = diffusion_conv_direct;
     ctx_params.vae_conv_direct = vae_conv_direct;
     ctx_params.force_sdxl_vae_conv_scale = force_sdxl_vae_conv_scale;
-    ctx_params.chroma_use_dit_mask = chroma_use_dit_mask;
-    ctx_params.chroma_use_t5_mask = chroma_use_t5_mask;
-    ctx_params.chroma_t5_mask_pad = chroma_t5_mask_pad;
+    // Chroma knobs: upstream dropped the dedicated chroma_use_dit_mask /
+    // chroma_use_t5_mask / chroma_t5_mask_pad struct fields and now reads them
+    // from the generic model_args key=value spec (parse_key_value_args). Emit
+    // them there so the existing chroma options keep working. This string must
+    // outlive new_sd_ctx() below.
+    std::string model_args_spec =
+        "chroma_use_dit_mask=" + std::string(chroma_use_dit_mask ? "true" : "false") +
+        ",chroma_use_t5_mask=" + std::string(chroma_use_t5_mask ? "true" : "false") +
+        ",chroma_t5_mask_pad=" + std::to_string(chroma_t5_mask_pad);
+    ctx_params.model_args = model_args_spec.c_str();
     sd_ctx_t* sd_ctx = new_sd_ctx(&ctx_params);
 
     if (sd_ctx == NULL) {
@@ -798,6 +805,7 @@ void sd_img_gen_params_set_seed(sd_img_gen_params_t *params, int64_t seed) {
 int gen_image(sd_img_gen_params_t *p, int steps, char *dst, float cfg_scale, char *src_image, float strength, char *mask_image, char* ref_images[], int ref_images_count) {
 
     sd_image_t* results;
+    int num_results_out = 0;
 
     std::vector<int> skip_layers = {7, 8, 9};
 
@@ -994,10 +1002,14 @@ int gen_image(sd_img_gen_params_t *p, int steps, char *dst, float cfg_scale, cha
             sd_ctx_params_to_str(&ctx_params),
             sd_img_gen_params_to_str(p));
 
-    results = generate_image(sd_c, p);
+    bool gen_ok = generate_image(sd_c, p, &results, &num_results_out);
 
     std::free(p);
 
+    if (!gen_ok || num_results_out == 0) {
+        results = NULL;
+    }
+
     if (results == NULL) {
         fprintf (stderr, "NO results\n");
         if (input_image_buffer) free(input_image_buffer);

backend/go/vibevoice-cpp/CMakeLists.txt

@@ -50,7 +50,7 @@ target_include_directories(govibevoicecpp SYSTEM PRIVATE ${VIBEVOICE_DIR}/third_
 # Link GPU backends if available — vibevoice's own CMake already links
 # these to the libvibevoice STATIC library, but we re-link them on the
 # MODULE so resolved symbols include all backend kernels.
-foreach(backend blas cuda metal vulkan)
+foreach(backend blas cuda hip metal vulkan)
     if(TARGET ggml-${backend})
         target_link_libraries(govibevoicecpp PRIVATE ggml-${backend})
         string(TOUPPER ${backend} BACKEND_UPPER)

backend/go/vibevoice-cpp/Makefile

@@ -11,7 +11,7 @@ JOBS?=$(shell nproc --ignore=1)
 # already do for ik_llama.cpp / llama.cpp / whisper.cpp). Floating on
 # `master` led to silent ABI breaks reaching CI — pin it.
 VIBEVOICE_REPO?=https://github.com/mudler/vibevoice.cpp
-VIBEVOICE_CPP_VERSION?=ad856bda6b1311b7f3d7c4a667be43eeb8a8249a
+VIBEVOICE_CPP_VERSION?=000e37282bc5bb09edc20f7047a47924122ba3a0
 SO_TARGET?=libgovibevoicecpp.so
 
 CMAKE_ARGS+=-DBUILD_SHARED_LIBS=OFF
@@ -29,7 +29,14 @@ else ifeq ($(BUILD_TYPE),openblas)
 else ifeq ($(BUILD_TYPE),clblas)
 	CMAKE_ARGS+=-DGGML_CLBLAST=ON -DCLBlast_DIR=/some/path
 else ifeq ($(BUILD_TYPE),hipblas)
-	CMAKE_ARGS+=-DGGML_HIPBLAS=ON -DVIBEVOICE_GGML_HIPBLAS=ON
+	# This ggml only understands GGML_HIP (GGML_HIPBLAS was removed upstream),
+	# so passing GGML_HIPBLAS silently produced a CPU-only build (see #10666).
+	ROCM_HOME ?= /opt/rocm
+	ROCM_PATH ?= /opt/rocm
+	export CXX=$(ROCM_HOME)/llvm/bin/clang++
+	export CC=$(ROCM_HOME)/llvm/bin/clang
+	AMDGPU_TARGETS ?= gfx908,gfx90a,gfx942,gfx950,gfx1030,gfx1100,gfx1101,gfx1102,gfx1151,gfx1200,gfx1201
+	CMAKE_ARGS+=-DGGML_HIP=ON -DAMDGPU_TARGETS=$(AMDGPU_TARGETS)
 else ifeq ($(BUILD_TYPE),vulkan)
 	CMAKE_ARGS+=-DGGML_VULKAN=ON -DVIBEVOICE_GGML_VULKAN=ON
 else ifeq ($(OS),Darwin)

backend/go/vibevoice-cpp/govibevoicecpp.go

@@ -2,6 +2,7 @@ package main
 
 import (
 	"context"
+	"encoding/binary"
 	"encoding/json"
 	"fmt"
 	"io"
@@ -10,7 +11,9 @@ import (
 	"path/filepath"
 	"runtime"
 	"strings"
+	"unsafe"
 
+	"github.com/ebitengine/purego"
 	laudio "github.com/mudler/LocalAI/pkg/audio"
 	"github.com/mudler/LocalAI/pkg/grpc/base"
 	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
@@ -113,12 +116,76 @@ var (
 		refAudioPaths []*byte, nRefAudioPaths int32,
 		dstWav string,
 		nSteps int32, cfgScale float32, maxSpeechFrames int32, seed uint32) int32
+	// CppTTSStream drives vv_capi_tts_stream: it synthesizes `text` and
+	// invokes the C callback `cb` once per decoded PCM window instead of
+	// writing a file. `cb` is the address of a purego callback (see
+	// streamCB); `user` is an opaque pointer handed back to every
+	// callback invocation - we route via the package-level activeStream
+	// instead, so it is always nil here.
+	CppTTSStream func(text, voicePath string,
+		nSteps int32, cfgScale float32, maxFrames int32, seed uint32,
+		cb uintptr, user unsafe.Pointer) int32
 	CppASR func(srcWav string, outJSON []byte, capacity uint64,
 		maxNewTokens int32) int32
 	CppUnload  func()
 	CppVersion func() string
 )
 
+// streamState carries the destination channel for one in-flight
+// TTSStream call. vibevoice's engine is a single process-global, and
+// backend calls are serialized through base.SingleThread, so a single
+// package-level pointer is safe: only one TTSStream runs at a time.
+type streamState struct {
+	results chan []byte
+}
+
+// activeStream points at the streamState for the currently-running
+// TTSStream. The C callback (streamCB) and the deliverPCMForTest hook
+// read it to find the channel. Guarded by base.SingleThread
+// serialization; TTSStream sets it and clears it in a defer.
+var activeStream *streamState
+
+// pushPCM copies a transient int16 PCM window into a fresh little-endian
+// []byte and pushes it onto the active stream. The C buffer handed to
+// the callback is only valid for the duration of the call, so we must
+// copy before returning. A nil/empty input or a missing active stream
+// is a no-op.
+func pushPCM(pcm []int16) {
+	s := activeStream
+	if s == nil || len(pcm) == 0 {
+		return
+	}
+	buf := make([]byte, len(pcm)*2)
+	for i, v := range pcm {
+		binary.LittleEndian.PutUint16(buf[i*2:], uint16(v))
+	}
+	s.results <- buf
+}
+
+// streamCB is the ONE reusable purego callback bound to the C ABI's
+// vv_pcm_cb. purego cannot free callbacks and enforces a process-global
+// limit, so we create exactly one at package init and reuse it for every
+// TTSStream call - the per-call state lives in activeStream, not here.
+// purego marshals the C `const int16_t*` first argument straight into a
+// Go *int16, so we can unsafe.Slice it without a uintptr round-trip
+// (keeps go vet clean); pushPCM copies the transient buffer out and
+// returns 0 to keep synthesizing.
+var streamCB = purego.NewCallback(func(samples *int16, n int32, _ uintptr) uintptr {
+	if activeStream == nil || samples == nil || n <= 0 {
+		return 0
+	}
+	pcm := unsafe.Slice(samples, int(n))
+	pushPCM(pcm)
+	return 0
+})
+
+// deliverPCMForTest exercises the exact copy-and-push path streamCB runs
+// against activeStream, but from a Go []int16 - so unit tests can
+// validate the callback -> channel framing without the C library.
+func deliverPCMForTest(samples []int16) {
+	pushPCM(samples)
+}
+
 // VibevoiceCpp speaks gRPC against vibevoice.cpp's flat C ABI. The
 // engine is a single global, so we serialize calls through SingleThread.
 type VibevoiceCpp struct {
@@ -404,14 +471,16 @@ func (v *VibevoiceCpp) callASR(srcWav string, maxNewTokens int32) (string, error
 	return string(buf[:rc]), nil
 }
 
-// TTSStream is the streaming counterpart to TTS. vibevoice's C ABI is
-// file-only (vv_capi_tts writes a complete WAV), so we synthesize to
-// a tempfile, then emit a streaming-WAV header followed by the PCM
-// body in chunks. The main reason this exists at all is the gRPC
-// server wrapper (pkg/grpc/server.go:TTSStream) blocks on a channel
-// that only this method can close - if we leave the default Base
-// stub in place, every TTSStream call hangs until the client
-// deadline.
+// TTSStream is the streaming counterpart to TTS. It drives
+// vv_capi_tts_stream, which synthesizes `text` and invokes our C
+// callback (streamCB) once per decoded PCM window instead of writing a
+// file - so the client starts receiving audio while the model is still
+// generating. We first emit a streaming-WAV header, install the results
+// channel as the active stream, then let the callback push each PCM
+// window (copied to little-endian bytes) onto that channel. The gRPC
+// server wrapper (pkg/grpc/server.go:TTSStream) blocks on the channel
+// until this method closes it, so `defer close(results)` is mandatory
+// even on the error paths.
 func (v *VibevoiceCpp) TTSStream(req *pb.TTSRequest, results chan []byte) error {
 	defer close(results)
 	if v.ttsModel == "" {
@@ -421,28 +490,6 @@ func (v *VibevoiceCpp) TTSStream(req *pb.TTSRequest, results chan []byte) error
 		return fmt.Errorf("vibevoice-cpp: TTSStream requires text")
 	}
 
-	tmp, err := os.CreateTemp("", "vibevoice-cpp-stream-*.wav")
-	if err != nil {
-		return fmt.Errorf("vibevoice-cpp: tempfile: %w", err)
-	}
-	dst := tmp.Name()
-	_ = tmp.Close()
-	defer func() { _ = os.Remove(dst) }()
-
-	if err := v.TTS(&pb.TTSRequest{
-		Text:     req.Text,
-		Voice:    req.Voice,
-		Dst:      dst,
-		Language: req.Language,
-	}); err != nil {
-		return err
-	}
-
-	wav, err := os.ReadFile(dst)
-	if err != nil {
-		return fmt.Errorf("vibevoice-cpp: read tempfile: %w", err)
-	}
-
 	// Streaming WAV header: declare 0xFFFFFFFF for chunk sizes so HTTP
 	// clients can start playback before they see the full PCM.
 	const streamingSize = 0xFFFFFFFF
@@ -455,18 +502,38 @@ func (v *VibevoiceCpp) TTSStream(req *pb.TTSRequest, results chan []byte) error
 	}
 	results <- hdrBuf
 
-	// PCM body: send in ~64 KB slices so the client gets multiple
-	// reply chunks (e2e harness asserts >=2 frames).
-	pcm := laudio.StripWAVHeader(wav)
-	const chunkBytes = 64 * 1024
-	for off := 0; off < len(pcm); off += chunkBytes {
-		end := off + chunkBytes
-		if end > len(pcm) {
-			end = len(pcm)
-		}
-		chunk := make([]byte, end-off)
-		copy(chunk, pcm[off:end])
-		results <- chunk
+	// vv_capi_tts_stream takes a single voice_path (realtime-0.5B path);
+	// unlike vv_capi_tts it has no ref_audio array. Resolve the per-call
+	// override when it names a voice gguf, otherwise fall back to the
+	// load-time default that already went to vv_capi_load.
+	voice := v.voice
+	if reqVoice := strings.TrimSpace(req.Voice); reqVoice != "" && !isRefAudioOverride(reqVoice) {
+		voice = resolvePath(reqVoice, v.modelRoot)
+	}
+
+	if req.Language != nil && *req.Language != "" {
+		fmt.Fprintf(os.Stderr,
+			"[vibevoice-cpp] note: TTSRequest.language=%q ignored - vibevoice picks language from the voice prompt\n",
+			*req.Language)
+	}
+
+	const (
+		defaultSteps     = 20
+		defaultMaxFrames = 200
+	)
+	defaultCfg := float32(1.3)
+
+	// Serialized by base.SingleThread, so a single package-level
+	// activeStream is race-free: exactly one TTSStream runs at a time.
+	// The callback reads it to find `results`; clear it on the way out.
+	activeStream = &streamState{results: results}
+	defer func() { activeStream = nil }()
+
+	rc := CppTTSStream(req.Text, voice,
+		int32(defaultSteps), defaultCfg, int32(defaultMaxFrames), 0,
+		streamCB, nil)
+	if rc != 0 {
+		return fmt.Errorf("vibevoice-cpp: vv_capi_tts_stream failed (rc=%d)", rc)
 	}
 	return nil
 }

backend/go/vibevoice-cpp/main.go

@@ -37,6 +37,7 @@ func main() {
 	libFuncs := []LibFuncs{
 		{&CppLoad, "vv_capi_load"},
 		{&CppTTS, "vv_capi_tts"},
+		{&CppTTSStream, "vv_capi_tts_stream"},
 		{&CppASR, "vv_capi_asr"},
 		{&CppUnload, "vv_capi_unload"},
 		{&CppVersion, "vv_capi_version"},

backend/go/vibevoice-cpp/vibevoicecpp_integration_test.go

@@ -0,0 +1,262 @@
+package main
+
+// Real end-to-end streaming integration test for the vibevoice-cpp
+// backend. It drives the actual Go -> purego -> C path against the real
+// model, proving that TTSStream delivers audio incrementally (measurable
+// time-to-first-audio) while TTS only yields anything after full
+// synthesis. Gated behind VIBEVOICE_IT=1 so normal `go test` and CI stay
+// unaffected - it needs the built engine .so and ~1.7 GB of model files.
+//
+// Run:
+//
+//	VIBEVOICE_IT=1 \
+//	VIBEVOICECPP_LIBRARY=<abs path to libgovibevoicecpp-fallback.so> \
+//	  go test ./... -run TestVibevoiceCpp -v -timeout 600s
+//
+// Optional overrides (default to the staged bundle under
+// ~/_git/vibevoice-models):
+//
+//	VIBEVOICE_IT_MODEL      vibevoice-realtime-0.5B-q8_0.gguf (abs path)
+//	VIBEVOICE_IT_TOKENIZER  tokenizer.gguf (abs path)
+//	VIBEVOICE_IT_VOICE      voice-en-Carter_man.gguf (abs path)
+
+import (
+	"fmt"
+	"io"
+	"os"
+	"path/filepath"
+	"sync"
+	"time"
+
+	"github.com/ebitengine/purego"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
+	. "github.com/onsi/ginkgo/v2"
+	. "github.com/onsi/gomega"
+)
+
+// itDefaultModelDir is where Task 6 staged the model bundle. Individual
+// files can be overridden via the VIBEVOICE_IT_* env vars.
+const itDefaultModelDir = "/home/mudler/_git/vibevoice-models"
+
+// itLibLoaded guards the one-time purego Dlopen + RegisterLibFunc into
+// the package-level Cpp* vars. purego cannot free a loaded library and
+// the Cpp* symbols are process-global, so we bind exactly once.
+var itLibLoaded sync.Once
+
+// integrationOrSkip enforces the VIBEVOICE_IT=1 gate and binds the C ABI
+// symbols into the package vars the backend calls (mirrors main.go's
+// libFuncs list). It Skip()s the spec when the gate is off or the .so /
+// model files are missing, so the suite stays green in every other run.
+func integrationOrSkip() (model, tokenizer, voice string) {
+	if os.Getenv("VIBEVOICE_IT") != "1" {
+		Skip("VIBEVOICE_IT!=1, skipping real-model streaming integration test")
+	}
+
+	lib := os.Getenv("VIBEVOICECPP_LIBRARY")
+	if lib == "" {
+		Skip("VIBEVOICECPP_LIBRARY not set, cannot dlopen the engine .so")
+	}
+	if _, err := os.Stat(lib); err != nil {
+		Skip("engine .so not found at " + lib)
+	}
+
+	model = itEnvOr("VIBEVOICE_IT_MODEL", filepath.Join(itDefaultModelDir, "vibevoice-realtime-0.5B-q8_0.gguf"))
+	tokenizer = itEnvOr("VIBEVOICE_IT_TOKENIZER", filepath.Join(itDefaultModelDir, "tokenizer.gguf"))
+	voice = itEnvOr("VIBEVOICE_IT_VOICE", filepath.Join(itDefaultModelDir, "voice-en-Carter_man.gguf"))
+	for _, p := range []string{model, tokenizer, voice} {
+		if _, err := os.Stat(p); err != nil {
+			Skip("model file missing: " + p)
+		}
+	}
+
+	itLibLoaded.Do(func() {
+		handle, err := purego.Dlopen(lib, purego.RTLD_NOW|purego.RTLD_GLOBAL)
+		Expect(err).ToNot(HaveOccurred(), "dlopen %s", lib)
+		// Mirror the libFuncs list in main.go verbatim so the test binds
+		// the exact same symbols the production backend binary does.
+		purego.RegisterLibFunc(&CppLoad, handle, "vv_capi_load")
+		purego.RegisterLibFunc(&CppTTS, handle, "vv_capi_tts")
+		purego.RegisterLibFunc(&CppTTSStream, handle, "vv_capi_tts_stream")
+		purego.RegisterLibFunc(&CppASR, handle, "vv_capi_asr")
+		purego.RegisterLibFunc(&CppUnload, handle, "vv_capi_unload")
+		purego.RegisterLibFunc(&CppVersion, handle, "vv_capi_version")
+	})
+	return model, tokenizer, voice
+}
+
+func itEnvOr(key, def string) string {
+	if v := os.Getenv(key); v != "" {
+		return v
+	}
+	return def
+}
+
+// itParseWavPCM returns the int16 PCM samples from a standard WAV file by
+// locating the "data" sub-chunk, so it works regardless of how many
+// bytes of header/metadata the engine wrote.
+func itParseWavPCM(b []byte) []int16 {
+	// Find the "data" sub-chunk id, then its 4-byte little-endian size.
+	idx := -1
+	for i := 12; i+8 <= len(b); i += 2 {
+		if string(b[i:i+4]) == "data" {
+			idx = i
+			break
+		}
+	}
+	Expect(idx).To(BeNumerically(">=", 0), "no data chunk in WAV")
+	pcmStart := idx + 8
+	size := int(b[idx+4]) | int(b[idx+5])<<8 | int(b[idx+6])<<16 | int(b[idx+7])<<24
+	if size <= 0 || pcmStart+size > len(b) {
+		size = len(b) - pcmStart
+	}
+	n := size / 2
+	out := make([]int16, n)
+	for i := 0; i < n; i++ {
+		out[i] = int16(uint16(b[pcmStart+i*2]) | uint16(b[pcmStart+i*2+1])<<8)
+	}
+	return out
+}
+
+// itRMS computes the root-mean-square of int16 PCM as a sanity signal:
+// > 0 means non-silent, and NaN/Inf-free means well-formed samples.
+func itRMS(pcm []int16) float64 {
+	if len(pcm) == 0 {
+		return 0
+	}
+	var sumSq float64
+	for _, s := range pcm {
+		v := float64(s)
+		sumSq += v * v
+	}
+	return sqrt(sumSq / float64(len(pcm)))
+}
+
+// sqrt via Newton's method to avoid dragging math into the file's tiny
+// need (keeps the dependency surface of the test minimal).
+func sqrt(x float64) float64 {
+	if x <= 0 {
+		return 0
+	}
+	z := x
+	for i := 0; i < 40; i++ {
+		z = 0.5 * (z + x/z)
+	}
+	return z
+}
+
+var _ = Describe("VibeVoice-cpp real-model streaming (VIBEVOICE_IT=1)", Ordered, func() {
+	// The paragraph is deliberately long (multiple sentences) so the
+	// engine decodes several streaming windows and TTFA is meaningfully
+	// earlier than full synthesis.
+	const paragraph = "The quick brown fox jumps over the lazy dog near the riverbank. " +
+		"A gentle breeze carried the sound of distant bells across the quiet valley. " +
+		"Streaming synthesis lets you hear the very first words while the rest is still being generated."
+
+	var v *VibevoiceCpp
+
+	BeforeAll(func() {
+		model, tokenizer, voice := integrationOrSkip()
+
+		v = &VibevoiceCpp{}
+		err := v.Load(&pb.ModelOptions{
+			ModelFile: model,
+			ModelPath: filepath.Dir(model),
+			Options: []string{
+				"tokenizer=" + tokenizer,
+				"voice=" + voice,
+			},
+			Threads: 4,
+		})
+		Expect(err).ToNot(HaveOccurred(), "Load must succeed with the real model")
+	})
+
+	It("streams audio incrementally and beats the batch path to first audio", func() {
+		// ---- Streaming run -------------------------------------------
+		results := make(chan []byte, 256)
+		streamErr := make(chan error, 1)
+
+		start := time.Now()
+		go func() {
+			streamErr <- v.TTSStream(&pb.TTSRequest{Text: paragraph}, results)
+		}()
+
+		var (
+			header      []byte
+			ttfa        time.Duration
+			totalStream time.Duration
+			chunkCount  int
+			pcmBytes    int
+			firstPCM    bool
+		)
+		for buf := range results {
+			if header == nil {
+				header = buf
+				continue
+			}
+			if len(buf) == 0 {
+				continue
+			}
+			if !firstPCM {
+				ttfa = time.Since(start)
+				firstPCM = true
+			}
+			chunkCount++
+			pcmBytes += len(buf)
+		}
+		totalStream = time.Since(start)
+		Expect(<-streamErr).ToNot(HaveOccurred(), "TTSStream returned an error")
+
+		// First message must be a 44-byte streaming WAV header.
+		Expect(header).To(HaveLen(44), "first stream message must be the WAV header")
+		Expect(string(header[0:4])).To(Equal("RIFF"))
+		Expect(string(header[8:12])).To(Equal("WAVE"))
+
+		// Streaming invariants: multiple windows, real audio, early
+		// delivery (first audio strictly before the stream completes).
+		Expect(chunkCount).To(BeNumerically(">=", 2), "expected multiple streamed PCM windows")
+		Expect(pcmBytes).To(BeNumerically(">", 0), "no PCM bytes streamed")
+		Expect(firstPCM).To(BeTrue(), "never received a PCM chunk")
+		Expect(ttfa).To(BeNumerically("<", totalStream), "TTFA must precede stream completion")
+
+		// ---- Batch baseline ------------------------------------------
+		tmp, err := os.MkdirTemp("", "vv-it-batch-*")
+		Expect(err).ToNot(HaveOccurred())
+		DeferCleanup(func() { _ = os.RemoveAll(tmp) })
+		dst := filepath.Join(tmp, "batch.wav")
+
+		batchStart := time.Now()
+		Expect(v.TTS(&pb.TTSRequest{Text: paragraph, Dst: dst})).To(Succeed())
+		totalBatch := time.Since(batchStart)
+
+		wav, err := os.ReadFile(dst)
+		Expect(err).ToNot(HaveOccurred())
+		Expect(len(wav)).To(BeNumerically(">", 44), "batch wav has no PCM payload")
+		Expect(string(wav[0:4])).To(Equal("RIFF"))
+		Expect(string(wav[8:12])).To(Equal("WAVE"))
+		batchPCM := itParseWavPCM(wav)
+		Expect(len(batchPCM)).To(BeNumerically(">", 0), "batch produced no samples")
+		rms := itRMS(batchPCM)
+		Expect(rms).To(BeNumerically(">", 0), "batch audio is silent")
+		Expect(rms).To(BeNumerically("<", 40000), "batch rms out of int16 range (corrupt samples)")
+
+		// ---- Headline numbers ----------------------------------------
+		// Emit to both GinkgoWriter and stderr: GinkgoWriter needs
+		// -ginkgo.v to surface, stderr is always captured so the headline
+		// TTFA vs batch numbers are never lost in an unattended run.
+		ratio := float64(ttfa) / float64(totalBatch)
+		report := fmt.Sprintf("\n================ vibevoice-cpp streaming TTFA ================\n"+
+			"input words        : ~%d\n"+
+			"TTFA (first audio) : %v\n"+
+			"total_stream       : %v\n"+
+			"total_batch        : %v\n"+
+			"stream chunks      : %d\n"+
+			"stream PCM bytes   : %d\n"+
+			"batch samples/rms  : %d / %.1f\n"+
+			"TTFA / total_batch : %.3f (first audio in this fraction of batch's deliver time)\n"+
+			"==============================================================\n\n",
+			len(paragraph)/6, ttfa, totalStream, totalBatch, chunkCount, pcmBytes, len(batchPCM), rms, ratio)
+		for _, out := range []io.Writer{GinkgoWriter, os.Stderr} {
+			_, _ = io.WriteString(out, report)
+		}
+	})
+})

backend/go/vibevoice-cpp/vibevoicecpp_stream_test.go

@@ -0,0 +1,46 @@
+package main
+
+import (
+	"encoding/binary"
+
+	. "github.com/onsi/ginkgo/v2"
+	. "github.com/onsi/gomega"
+)
+
+var _ = Describe("TTSStream callback framing", func() {
+	// The real C callback copies a transient int16 PCM buffer out of the
+	// engine into a fresh []byte and pushes it onto the active stream's
+	// results channel as little-endian bytes. deliverPCMForTest runs that
+	// exact copy-and-push path against a []int16 so we can validate the
+	// framing without the C library (full audio e2e is a later task).
+	It("copies int16 PCM from the C callback into the results channel as LE bytes", func() {
+		samples := []int16{0, 1, -1, 32767, -32768, 1234, -4321}
+
+		prev := activeStream
+		DeferCleanup(func() { activeStream = prev })
+
+		s := &streamState{results: make(chan []byte, 1)}
+		activeStream = s
+
+		deliverPCMForTest(samples)
+
+		var got []byte
+		Eventually(s.results).Should(Receive(&got))
+		Expect(got).To(HaveLen(len(samples) * 2))
+
+		want := make([]byte, len(samples)*2)
+		for i, v := range samples {
+			binary.LittleEndian.PutUint16(want[i*2:], uint16(v))
+		}
+		Expect(got).To(Equal(want))
+	})
+
+	It("is a no-op when there is no active stream", func() {
+		prev := activeStream
+		DeferCleanup(func() { activeStream = prev })
+		activeStream = nil
+
+		// Must not panic when no stream is installed.
+		Expect(func() { deliverPCMForTest([]int16{1, 2, 3}) }).ToNot(Panic())
+	})
+})

backend/go/voice-detect/.gitignore

@@ -0,0 +1,18 @@
+# Fetched upstream sources
+sources/
+
+# CMake build directories
+build*/
+
+# build artifacts staged in-tree by the Makefile (cp from sources/) or
+# symlinked for local dev; the real sources live in voice-detect.cpp upstream.
+*.so
+*.so.*
+voicedetect_capi.h
+compile_commands.json
+
+# Compiled backend binary
+voice-detect-grpc
+
+# Packaging output
+package/

backend/go/voice-detect/Makefile

@@ -0,0 +1,107 @@
+# voice-detect backend Makefile.
+#
+# Upstream pin lives below as VOICEDETECT_VERSION?=1db1759572c90faef6f3a78c36b5941a096a9f89
+# can find and update it - matches the parakeet.cpp / whisper.cpp / ds4 convention).
+#
+# Local dev shortcut: if you already have an out-of-tree voice-detect.cpp build,
+# symlink the .so + header into this directory and skip the clone/cmake steps:
+#
+#   ln -sf /path/to/voice-detect.cpp/build-shared/libvoicedetect.so .
+#   ln -sf /path/to/voice-detect.cpp/include/voicedetect_capi.h .
+#   go build -o voice-detect-grpc .
+#
+# The default target below does the proper clone-at-pin + cmake build so CI does
+# not need a side-checkout.
+
+VOICEDETECT_VERSION?=1db1759572c90faef6f3a78c36b5941a096a9f89
+VOICEDETECT_REPO?=https://github.com/mudler/voice-detect.cpp
+
+GOCMD?=go
+GO_TAGS?=
+JOBS?=$(shell nproc 2>/dev/null || sysctl -n hw.ncpu 2>/dev/null || echo 4)
+
+BUILD_TYPE?=
+NATIVE?=false
+
+# Resolve the target arch. The backend matrix / Docker build pass TARGETARCH
+# (amd64|arm64); fall back to uname -m (aarch64|x86_64) for a local build.
+RECON_ARCH?=$(or $(TARGETARCH),$(shell uname -m))
+
+# Build ggml statically into libvoicedetect.so (PIC) so the shared lib is
+# self-contained: dlopen needs no libggml*.so alongside it, only system libs
+# (libstdc++/libgomp/libc) that the runtime image already provides.
+CMAKE_ARGS?=-DCMAKE_BUILD_TYPE=Release -DVOICEDETECT_SHARED=ON -DVOICEDETECT_BUILD_CLI=OFF -DVOICEDETECT_BUILD_TESTS=OFF -DBUILD_SHARED_LIBS=OFF -DCMAKE_POSITION_INDEPENDENT_CODE=ON
+
+ifeq ($(NATIVE),false)
+	CMAKE_ARGS+=-DGGML_NATIVE=OFF
+endif
+
+# voice-detect.cpp gates its GGML backends behind VOICEDETECT_GGML_* options and
+# does set(GGML_CUDA ${VOICEDETECT_GGML_CUDA} CACHE BOOL "" FORCE), so a bare
+# -DGGML_CUDA=ON is overwritten back to OFF. Forward the VOICEDETECT_GGML_*
+# options instead. (openblas is not gated, so -DGGML_BLAS passes through.)
+ifeq ($(BUILD_TYPE),cublas)
+	CMAKE_ARGS+=-DVOICEDETECT_GGML_CUDA=ON
+	# Opt-in cuDNN implicit-GEMM conv path (kills im2col on GPU, reaches
+	# torch-cuDNN parity). Only the arm64 + CUDA 13 image (GB10/Jetson/L4T)
+	# ships libcudnn9 + the -dev headers, so gate cuDNN to that variant.
+	# x86 CUDA images carry no cuDNN -> enabling it there is a link failure.
+	ifeq ($(CUDA_MAJOR_VERSION),13)
+	ifneq (,$(filter arm64 aarch64,$(RECON_ARCH)))
+		CMAKE_ARGS+=-DVOICEDETECT_GGML_CUDNN=ON
+	endif
+	endif
+else ifeq ($(BUILD_TYPE),openblas)
+	CMAKE_ARGS+=-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
+else ifeq ($(BUILD_TYPE),hipblas)
+	CMAKE_ARGS+=-DVOICEDETECT_GGML_HIP=ON
+else ifeq ($(BUILD_TYPE),vulkan)
+	CMAKE_ARGS+=-DVOICEDETECT_GGML_VULKAN=ON
+else ifeq ($(BUILD_TYPE),metal)
+	CMAKE_ARGS+=-DVOICEDETECT_GGML_METAL=ON
+endif
+
+.PHONY: voice-detect-grpc package build clean purge test all
+
+all: voice-detect-grpc
+
+# Clone the upstream voice-detect.cpp source at the pinned commit. Directory acts
+# as the target so make only re-clones when missing. After a VOICEDETECT_VERSION
+# bump, run 'make purge && make' to refetch.
+sources/voice-detect.cpp:
+	mkdir -p sources/voice-detect.cpp
+	cd sources/voice-detect.cpp && \
+	git init -q && \
+	git remote add origin $(VOICEDETECT_REPO) && \
+	git fetch --depth 1 origin $(VOICEDETECT_VERSION) && \
+	git checkout FETCH_HEAD && \
+	git submodule update --init --recursive --depth 1 --single-branch
+
+# Build the shared lib + header out-of-tree, then stage them next to the Go
+# sources so purego.Dlopen("libvoicedetect.so") and the cgo-less build both pick
+# them up.
+libvoicedetect.so: sources/voice-detect.cpp
+	cmake -B sources/voice-detect.cpp/build-shared -S sources/voice-detect.cpp $(CMAKE_ARGS)
+	cmake --build sources/voice-detect.cpp/build-shared --config Release -j$(JOBS) --target voicedetect
+	cp -fv sources/voice-detect.cpp/build-shared/libvoicedetect.so* ./ 2>/dev/null || true
+	cp -fv sources/voice-detect.cpp/include/voicedetect_capi.h ./
+
+voice-detect-grpc: libvoicedetect.so main.go govoicedetect.go options.go
+	CGO_ENABLED=0 $(GOCMD) build -tags "$(GO_TAGS)" -o voice-detect-grpc .
+
+package: voice-detect-grpc
+	bash package.sh
+
+build: package
+
+# Test target. The embed/verify/analyze smoke specs are gated on
+# VOICEDETECT_BACKEND_TEST_MODEL + VOICEDETECT_BACKEND_TEST_WAV; without them the
+# heavy specs auto-skip and only the pure-Go parsing specs run.
+test:
+	LD_LIBRARY_PATH=$(CURDIR):$$LD_LIBRARY_PATH $(GOCMD) test ./... -count=1
+
+clean: purge
+	rm -rf libvoicedetect.so* voicedetect_capi.h package voice-detect-grpc
+
+purge:
+	rm -rf sources/voice-detect.cpp

backend/go/voice-detect/govoicedetect.go

@@ -0,0 +1,273 @@
+package main
+
+import (
+	"encoding/json"
+	"errors"
+	"fmt"
+	"math"
+	"os"
+	"path/filepath"
+	"strconv"
+	"strings"
+	"time"
+	"unsafe"
+
+	"github.com/mudler/LocalAI/pkg/grpc/base"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
+	"github.com/mudler/xlog"
+)
+
+// purego-bound entry points from libvoicedetect.so. Names match
+// voicedetect_capi.h exactly so a `nm libvoicedetect.so | grep voicedetect_capi`
+// is enough to spot drift.
+//
+// The opaque ctx and the malloc'd char*/float* return values are declared as
+// uintptr so we get the raw pointer back and can release it via the matching
+// capi free function. purego's native string/[]float32 returns would copy and
+// forget the original pointer, leaking the C-owned buffer on every call.
+var (
+	CppAbiVersion  func() int32
+	CppLoad        func(ggufPath string) uintptr
+	CppFree        func(ctx uintptr)
+	CppLastError   func(ctx uintptr) string
+	CppFreeString  func(s uintptr)
+	CppFreeVec     func(v uintptr)
+	CppEmbedPath   func(ctx uintptr, wavPath string, outVec, outDim unsafe.Pointer) int32
+	CppEmbedPCM    func(ctx uintptr, pcm []float32, nSamples, sampleRate int32, outVec, outDim unsafe.Pointer) int32
+	CppVerifyPaths func(ctx uintptr, a, b string, threshold float32, outDistance, outVerified unsafe.Pointer) int32
+	CppAnalyzeJSON func(ctx uintptr, wavPath string) uintptr
+)
+
+// VoiceDetect implements the speaker-recognition voice subset of the Backend
+// gRPC service over libvoicedetect.so. The C side keeps a single loaded model
+// plus a per-ctx last-error buffer and is not reentrant, so base.SingleThread
+// serializes every call.
+type VoiceDetect struct {
+	base.SingleThread
+	opts   loadOptions
+	ctxPtr uintptr
+}
+
+func (v *VoiceDetect) Load(opts *pb.ModelOptions) error {
+	model := opts.ModelFile
+	if model == "" {
+		model = opts.ModelPath
+	}
+	if !filepath.IsAbs(model) && opts.ModelPath != "" {
+		model = filepath.Join(opts.ModelPath, model)
+	}
+	if model == "" {
+		return errors.New("voice-detect: ModelFile is required")
+	}
+
+	v.opts = parseOptions(opts.Options)
+	if v.opts.modelName == "" {
+		v.opts.modelName = filepath.Base(model)
+	}
+
+	// Propagate LocalAI's per-model thread budget to the engine. LocalAI spawns
+	// one backend process per model and serves requests concurrently, so the
+	// engine's own min(hardware_concurrency, 8) default can oversubscribe cores.
+	// VOICEDETECT_THREADS is read by the engine at backend construction, so it
+	// must be set before the capi load. A non-positive Threads means "unset":
+	// leave the env alone so the engine keeps its sane default.
+	threads := opts.Threads
+	if threads > 0 {
+		if err := os.Setenv("VOICEDETECT_THREADS", strconv.Itoa(int(threads))); err != nil {
+			return fmt.Errorf("voice-detect: set VOICEDETECT_THREADS: %w", err)
+		}
+		xlog.Info("voice-detect: applying LocalAI thread budget", "threads", threads)
+	}
+
+	xlog.Info("voice-detect: loading model", "model", model,
+		"verify_threshold", v.opts.verifyThreshold, "abi", CppAbiVersion())
+
+	ctx := CppLoad(model)
+	if ctx == 0 {
+		// The last-error buffer lives on the ctx that was never returned, so
+		// surface the path the operator tried to load instead.
+		return fmt.Errorf("voice-detect: voicedetect_capi_load failed for %q", model)
+	}
+	v.ctxPtr = ctx
+	return nil
+}
+
+// VoiceEmbed returns the L2-normalized speaker embedding for an audio clip.
+// The request carries a filesystem PATH; the HTTP layer materializes
+// base64/URL/data-URI inputs to a temp file before the gRPC call.
+func (v *VoiceDetect) VoiceEmbed(req *pb.VoiceEmbedRequest) (pb.VoiceEmbedResponse, error) {
+	if v.ctxPtr == 0 {
+		return pb.VoiceEmbedResponse{}, errors.New("voice-detect: model not loaded")
+	}
+	if req.Audio == "" {
+		return pb.VoiceEmbedResponse{}, errors.New("voice-detect: audio path is required")
+	}
+	emb, err := v.embedPath(req.Audio)
+	if err != nil {
+		return pb.VoiceEmbedResponse{}, err
+	}
+	return pb.VoiceEmbedResponse{Embedding: emb, Model: v.opts.modelName}, nil
+}
+
+func (v *VoiceDetect) embedPath(path string) ([]float32, error) {
+	var vec uintptr
+	var dim int32
+	rc := CppEmbedPath(v.ctxPtr, path, unsafe.Pointer(&vec), unsafe.Pointer(&dim))
+	if rc != 0 || vec == 0 || dim <= 0 {
+		return nil, v.lastErr("embed", path)
+	}
+	defer CppFreeVec(vec)
+	// Copy out of the C-owned malloc'd buffer before freeing it. The
+	// uintptr->Pointer conversion trips vet's unsafeptr check, which can't tell
+	// a C heap pointer from Go-managed memory; safe here, the GC neither tracks
+	// nor moves this buffer and we copy immediately.
+	src := unsafe.Slice((*float32)(unsafe.Pointer(vec)), int(dim)) //nolint:govet // C-owned malloc'd vector, copied out before free
+	out := make([]float32, int(dim))
+	copy(out, src)
+	return out, nil
+}
+
+// VoiceVerify embeds two clips and reports whether they are the same speaker by
+// cosine distance against a threshold. A request threshold <= 0 falls back to
+// the model-configured default (verify_threshold option, 0.25 if unset).
+func (v *VoiceDetect) VoiceVerify(req *pb.VoiceVerifyRequest) (pb.VoiceVerifyResponse, error) {
+	if v.ctxPtr == 0 {
+		return pb.VoiceVerifyResponse{}, errors.New("voice-detect: model not loaded")
+	}
+	if req.Audio1 == "" || req.Audio2 == "" {
+		return pb.VoiceVerifyResponse{}, errors.New("voice-detect: audio1 and audio2 are required")
+	}
+
+	threshold := req.Threshold
+	if threshold <= 0 {
+		threshold = v.opts.verifyThreshold
+	}
+
+	started := time.Now()
+	var distance float32
+	var verified int32
+	rc := CppVerifyPaths(v.ctxPtr, req.Audio1, req.Audio2, threshold,
+		unsafe.Pointer(&distance), unsafe.Pointer(&verified))
+	if rc != 0 {
+		return pb.VoiceVerifyResponse{}, v.lastErr("verify", req.Audio1+","+req.Audio2)
+	}
+	elapsedMs := float32(time.Since(started).Seconds() * 1000.0)
+
+	// Confidence decays linearly from 100 at distance 0 to 0 at the threshold,
+	// matching the Python speaker-recognition backend's reporting.
+	confidence := float32(0)
+	if threshold > 0 {
+		confidence = float32(math.Max(0, math.Min(100, (1.0-float64(distance)/float64(threshold))*100.0)))
+	}
+
+	return pb.VoiceVerifyResponse{
+		Verified:         verified != 0,
+		Distance:         distance,
+		Threshold:        threshold,
+		Confidence:       confidence,
+		Model:            v.opts.modelName,
+		ProcessingTimeMs: elapsedMs,
+	}, nil
+}
+
+// VoiceAnalyze runs the age/gender/emotion heads on a single clip. The C-API
+// always evaluates every supported head, so the request's actions filter is
+// advisory and the full analysis is returned as a single segment (the engine
+// does not produce time-bounded segments).
+func (v *VoiceDetect) VoiceAnalyze(req *pb.VoiceAnalyzeRequest) (pb.VoiceAnalyzeResponse, error) {
+	if v.ctxPtr == 0 {
+		return pb.VoiceAnalyzeResponse{}, errors.New("voice-detect: model not loaded")
+	}
+	if req.Audio == "" {
+		return pb.VoiceAnalyzeResponse{}, errors.New("voice-detect: audio path is required")
+	}
+
+	ptr := CppAnalyzeJSON(v.ctxPtr, req.Audio)
+	if ptr == 0 {
+		return pb.VoiceAnalyzeResponse{}, v.lastErr("analyze", req.Audio)
+	}
+	defer CppFreeString(ptr)
+
+	seg, err := parseAnalyzeJSON(goStringFromCPtr(ptr))
+	if err != nil {
+		return pb.VoiceAnalyzeResponse{}, fmt.Errorf("voice-detect: analyze JSON for %q: %w", req.Audio, err)
+	}
+	return pb.VoiceAnalyzeResponse{Segments: []*pb.VoiceAnalysis{seg}}, nil
+}
+
+// analyzeJSON mirrors the document returned by voicedetect_capi_analyze_path_json:
+//
+//	{"age":42.0,
+//	 "gender":{"label":"female","female":0.88,"male":0.12},
+//	 "emotion":{"label":"neutral","scores":{"neutral":0.7, ...}}}
+//
+// gender is a mixed object (a "label" string plus per-class float scores), so
+// it is decoded into raw messages and split in parseAnalyzeJSON.
+type analyzeJSON struct {
+	Age     float32                    `json:"age"`
+	Gender  map[string]json.RawMessage `json:"gender"`
+	Emotion struct {
+		Label  string             `json:"label"`
+		Scores map[string]float32 `json:"scores"`
+	} `json:"emotion"`
+}
+
+// parseAnalyzeJSON maps the engine's analyze document onto a VoiceAnalysis.
+// start/end stay 0: the model emits a single whole-utterance result, not
+// time-bounded segments.
+func parseAnalyzeJSON(doc string) (*pb.VoiceAnalysis, error) {
+	var a analyzeJSON
+	if err := json.Unmarshal([]byte(doc), &a); err != nil {
+		return nil, err
+	}
+
+	seg := &pb.VoiceAnalysis{
+		Age:             a.Age,
+		DominantEmotion: a.Emotion.Label,
+		Emotion:         a.Emotion.Scores,
+	}
+
+	if len(a.Gender) > 0 {
+		gender := make(map[string]float32, len(a.Gender))
+		for k, raw := range a.Gender {
+			if k == "label" {
+				_ = json.Unmarshal(raw, &seg.DominantGender)
+				continue
+			}
+			var score float32
+			if err := json.Unmarshal(raw, &score); err == nil {
+				gender[k] = score
+			}
+		}
+		seg.Gender = gender
+	}
+
+	return seg, nil
+}
+
+// lastErr wraps the C-API's per-ctx last-error buffer into a Go error.
+func (v *VoiceDetect) lastErr(op, subject string) error {
+	msg := strings.TrimSpace(CppLastError(v.ctxPtr))
+	if msg == "" {
+		msg = "no error detail"
+	}
+	return fmt.Errorf("voice-detect: %s failed for %q: %s", op, subject, msg)
+}
+
+// goStringFromCPtr copies a NUL-terminated C string into Go memory. cptr is a
+// malloc'd buffer the caller owns; release it via CppFreeString after the copy.
+//
+// The uintptr->Pointer conversion trips vet's unsafeptr check, which can't tell
+// a C heap pointer from Go-managed memory. Safe here: the GC neither tracks nor
+// moves the buffer and we dereference it immediately to copy the bytes out.
+func goStringFromCPtr(cptr uintptr) string {
+	if cptr == 0 {
+		return ""
+	}
+	p := unsafe.Pointer(cptr) //nolint:govet // C-owned malloc'd buffer, not Go-GC memory (see doc above)
+	n := 0
+	for *(*byte)(unsafe.Add(p, n)) != 0 {
+		n++
+	}
+	return string(unsafe.Slice((*byte)(p), n))
+}

backend/go/voice-detect/govoicedetect_test.go

@@ -0,0 +1,144 @@
+package main
+
+import (
+	"os"
+	"sync"
+	"testing"
+
+	"github.com/ebitengine/purego"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
+	. "github.com/onsi/ginkgo/v2"
+	. "github.com/onsi/gomega"
+)
+
+func TestVoiceDetect(t *testing.T) {
+	RegisterFailHandler(Fail)
+	RunSpecs(t, "voice-detect Backend Suite")
+}
+
+var (
+	libLoadOnce sync.Once
+	libLoadErr  error
+)
+
+// ensureLibLoaded mirrors main.go's bootstrap so a Go test can drive the C-API
+// bridge without spinning up the gRPC server. Records the error (the smoke
+// specs skip themselves) when libvoicedetect.so is not loadable from cwd
+// (LD_LIBRARY_PATH or a symlink in ./).
+func ensureLibLoaded() error {
+	libLoadOnce.Do(func() {
+		libName := os.Getenv("VOICEDETECT_LIBRARY")
+		if libName == "" {
+			libName = "libvoicedetect.so"
+		}
+		lib, err := purego.Dlopen(libName, purego.RTLD_NOW|purego.RTLD_GLOBAL)
+		if err != nil {
+			libLoadErr = err
+			return
+		}
+		purego.RegisterLibFunc(&CppAbiVersion, lib, "voicedetect_capi_abi_version")
+		purego.RegisterLibFunc(&CppLoad, lib, "voicedetect_capi_load")
+		purego.RegisterLibFunc(&CppFree, lib, "voicedetect_capi_free")
+		purego.RegisterLibFunc(&CppLastError, lib, "voicedetect_capi_last_error")
+		purego.RegisterLibFunc(&CppFreeString, lib, "voicedetect_capi_free_string")
+		purego.RegisterLibFunc(&CppFreeVec, lib, "voicedetect_capi_free_vec")
+		purego.RegisterLibFunc(&CppEmbedPath, lib, "voicedetect_capi_embed_path")
+		purego.RegisterLibFunc(&CppEmbedPCM, lib, "voicedetect_capi_embed_pcm")
+		purego.RegisterLibFunc(&CppVerifyPaths, lib, "voicedetect_capi_verify_paths")
+		purego.RegisterLibFunc(&CppAnalyzeJSON, lib, "voicedetect_capi_analyze_path_json")
+	})
+	return libLoadErr
+}
+
+var _ = Describe("parseOptions", func() {
+	It("defaults verify_threshold to 0.25", func() {
+		o := parseOptions(nil)
+		Expect(o.verifyThreshold).To(Equal(float32(0.25)))
+		Expect(o.modelName).To(Equal(""))
+	})
+
+	It("parses verify_threshold, threshold alias and model_name", func() {
+		o := parseOptions([]string{"verify_threshold:0.4", "model_name:ecapa", "unknown:x"})
+		Expect(o.verifyThreshold).To(Equal(float32(0.4)))
+		Expect(o.modelName).To(Equal("ecapa"))
+
+		o2 := parseOptions([]string{"threshold:0.3"})
+		Expect(o2.verifyThreshold).To(Equal(float32(0.3)))
+	})
+
+	It("ignores non-positive thresholds and keeps the default", func() {
+		o := parseOptions([]string{"verify_threshold:0", "threshold:-1"})
+		Expect(o.verifyThreshold).To(Equal(float32(0.25)))
+	})
+})
+
+var _ = Describe("parseAnalyzeJSON", func() {
+	It("maps age, gender label+scores and emotion label+scores", func() {
+		doc := `{"age":42.0,
+			"gender":{"label":"female","female":0.88,"male":0.12},
+			"emotion":{"label":"neutral","scores":{"neutral":0.7,"happy":0.2,"sad":0.1}}}`
+		seg, err := parseAnalyzeJSON(doc)
+		Expect(err).ToNot(HaveOccurred())
+		Expect(seg.Age).To(BeNumerically("~", 42.0, 1e-4))
+		Expect(seg.Start).To(Equal(float32(0)))
+		Expect(seg.End).To(Equal(float32(0)))
+
+		Expect(seg.DominantGender).To(Equal("female"))
+		Expect(seg.Gender).To(HaveKeyWithValue("female", BeNumerically("~", 0.88, 1e-4)))
+		Expect(seg.Gender).To(HaveKeyWithValue("male", BeNumerically("~", 0.12, 1e-4)))
+		// The "label" entry is consumed into DominantGender, not the score map.
+		Expect(seg.Gender).ToNot(HaveKey("label"))
+
+		Expect(seg.DominantEmotion).To(Equal("neutral"))
+		Expect(seg.Emotion).To(HaveKeyWithValue("neutral", BeNumerically("~", 0.7, 1e-4)))
+		Expect(seg.Emotion).To(HaveKeyWithValue("happy", BeNumerically("~", 0.2, 1e-4)))
+	})
+
+	It("tolerates a missing gender block", func() {
+		seg, err := parseAnalyzeJSON(`{"age":30.0,"emotion":{"label":"happy","scores":{"happy":1.0}}}`)
+		Expect(err).ToNot(HaveOccurred())
+		Expect(seg.DominantGender).To(Equal(""))
+		Expect(seg.DominantEmotion).To(Equal("happy"))
+	})
+
+	It("returns an error on malformed JSON", func() {
+		_, err := parseAnalyzeJSON(`{not-json`)
+		Expect(err).To(HaveOccurred())
+	})
+})
+
+// The specs below exercise the real C-API end to end. They run only when both a
+// model GGUF and a test WAV are provided, and skip cleanly otherwise so the
+// suite stays green without large assets.
+var _ = Describe("VoiceDetect end-to-end", Ordered, func() {
+	var (
+		v         *VoiceDetect
+		modelPath = os.Getenv("VOICEDETECT_BACKEND_TEST_MODEL")
+		wavPath   = os.Getenv("VOICEDETECT_BACKEND_TEST_WAV")
+	)
+
+	BeforeAll(func() {
+		if modelPath == "" || wavPath == "" {
+			Skip("set VOICEDETECT_BACKEND_TEST_MODEL and VOICEDETECT_BACKEND_TEST_WAV to run the e2e specs")
+		}
+		if err := ensureLibLoaded(); err != nil {
+			Skip("libvoicedetect.so not loadable: " + err.Error())
+		}
+		v = &VoiceDetect{}
+		Expect(v.Load(&pb.ModelOptions{ModelFile: modelPath})).To(Succeed())
+	})
+
+	It("embeds an audio clip", func() {
+		resp, err := v.VoiceEmbed(&pb.VoiceEmbedRequest{Audio: wavPath})
+		Expect(err).ToNot(HaveOccurred())
+		Expect(resp.Embedding).ToNot(BeEmpty())
+		Expect(resp.Model).ToNot(BeEmpty())
+	})
+
+	It("verifies a clip against itself as the same speaker", func() {
+		resp, err := v.VoiceVerify(&pb.VoiceVerifyRequest{Audio1: wavPath, Audio2: wavPath})
+		Expect(err).ToNot(HaveOccurred())
+		Expect(resp.Verified).To(BeTrue())
+		Expect(resp.Distance).To(BeNumerically("<=", resp.Threshold))
+	})
+})

backend/go/voice-detect/main.go

@@ -0,0 +1,64 @@
+package main
+
+// Started internally by LocalAI - one gRPC server per loaded model.
+//
+// Loads libvoicedetect.so via purego and registers the flat C-API entry points
+// declared in voicedetect_capi.h. The library name can be overridden with
+// VOICEDETECT_LIBRARY (mirrors the PARAKEET_LIBRARY / OMNIVOICE_LIBRARY
+// convention in the sibling backends); the default looks for the .so next to
+// this binary (resolved via LD_LIBRARY_PATH by run.sh).
+import (
+	"flag"
+	"fmt"
+	"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() {
+	libName := os.Getenv("VOICEDETECT_LIBRARY")
+	if libName == "" {
+		libName = "libvoicedetect.so"
+	}
+
+	lib, err := purego.Dlopen(libName, purego.RTLD_NOW|purego.RTLD_GLOBAL)
+	if err != nil {
+		panic(fmt.Errorf("voice-detect: dlopen %q: %w", libName, err))
+	}
+
+	// Bound 1:1 to voicedetect_capi.h. char*/float* returns are registered as
+	// uintptr so the raw pointer can be freed via the matching capi free fn.
+	libFuncs := []LibFuncs{
+		{&CppAbiVersion, "voicedetect_capi_abi_version"},
+		{&CppLoad, "voicedetect_capi_load"},
+		{&CppFree, "voicedetect_capi_free"},
+		{&CppLastError, "voicedetect_capi_last_error"},
+		{&CppFreeString, "voicedetect_capi_free_string"},
+		{&CppFreeVec, "voicedetect_capi_free_vec"},
+		{&CppEmbedPath, "voicedetect_capi_embed_path"},
+		{&CppEmbedPCM, "voicedetect_capi_embed_pcm"},
+		{&CppVerifyPaths, "voicedetect_capi_verify_paths"},
+		{&CppAnalyzeJSON, "voicedetect_capi_analyze_path_json"},
+	}
+	for _, lf := range libFuncs {
+		purego.RegisterLibFunc(lf.FuncPtr, lib, lf.Name)
+	}
+
+	fmt.Fprintf(os.Stderr, "[voice-detect] ABI=%d\n", CppAbiVersion())
+
+	flag.Parse()
+
+	if err := grpc.StartServer(*addr, &VoiceDetect{}); err != nil {
+		panic(err)
+	}
+}

backend/go/voice-detect/options.go

@@ -0,0 +1,46 @@
+package main
+
+import (
+	"strconv"
+	"strings"
+)
+
+// defaultVerifyThreshold is the cosine-distance cutoff used when a request does
+// not set one. Matches the Python speaker-recognition backend's default so the
+// two implementations agree on verdicts out of the box.
+const defaultVerifyThreshold float32 = 0.25
+
+// loadOptions holds the parsed model-level options for voice-detect.
+type loadOptions struct {
+	verifyThreshold float32
+	modelName       string
+}
+
+func splitOption(o string) (key, value string, ok bool) {
+	i := strings.Index(o, ":")
+	if i < 0 {
+		return "", "", false
+	}
+	return strings.TrimSpace(o[:i]), strings.TrimSpace(o[i+1:]), true
+}
+
+// parseOptions reads the backend "key:value" option slice. Unknown keys are
+// ignored. Defaults: verify_threshold 0.25, model_name derived from the file.
+func parseOptions(opts []string) loadOptions {
+	o := loadOptions{verifyThreshold: defaultVerifyThreshold}
+	for _, oo := range opts {
+		key, value, ok := splitOption(oo)
+		if !ok {
+			continue
+		}
+		switch key {
+		case "verify_threshold", "threshold":
+			if f, err := strconv.ParseFloat(value, 32); err == nil && f > 0 {
+				o.verifyThreshold = float32(f)
+			}
+		case "model_name":
+			o.modelName = value
+		}
+	}
+	return o
+}

backend/go/voice-detect/package.sh

@@ -0,0 +1,68 @@
+#!/bin/bash
+#
+# Bundle the voice-detect-grpc binary, libvoicedetect.so, the core runtime libs
+# (libc/libstdc++/libgomp + ld.so) and the GPU runtime for the active BUILD_TYPE
+# so the package is self-contained. Mirrors backend/go/parakeet-cpp/package.sh;
+# run.sh routes the (CGO_ENABLED=0) binary through lib/ld.so so the packaged libc
+# is used instead of the host's.
+
+set -e
+
+CURDIR=$(dirname "$(realpath "$0")")
+REPO_ROOT="${CURDIR}/../../.."
+
+mkdir -p "$CURDIR/package/lib"
+
+cp -avf "$CURDIR/voice-detect-grpc" "$CURDIR/package/"
+cp -avf "$CURDIR/run.sh" "$CURDIR/package/"
+
+# libvoicedetect.so + any soname symlinks. purego.Dlopen resolves it via
+# LD_LIBRARY_PATH, which run.sh points at lib/.
+cp -avf "$CURDIR"/libvoicedetect.so* "$CURDIR/package/lib/" 2>/dev/null || {
+	echo "ERROR: libvoicedetect.so not found in $CURDIR, run 'make' first" >&2
+	exit 1
+}
+
+# Detect architecture and copy the core runtime libs libvoicedetect.so links
+# against, plus the matching dynamic loader as lib/ld.so.
+if [ -f "/lib64/ld-linux-x86-64.so.2" ]; then
+    echo "Detected x86_64 architecture, copying x86_64 libraries..."
+    cp -arfLv /lib64/ld-linux-x86-64.so.2 "$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
+    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 (CUDA/ROCm/Intel/Vulkan loader + ICDs + drivers) based on
+# BUILD_TYPE so the backend can reach the GPU without the runtime base image
+# shipping those drivers.
+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/" "$CURDIR/package/lib/"

backend/go/voice-detect/run.sh

@@ -0,0 +1,16 @@
+#!/bin/bash
+set -e
+
+CURDIR=$(dirname "$(realpath "$0")")
+
+export LD_LIBRARY_PATH="$CURDIR/lib:$CURDIR:${LD_LIBRARY_PATH:-}"
+
+# If a self-contained ld.so was packaged, route through it so the packaged
+# libc / libstdc++ are used instead of the host's (matches the whisper /
+# parakeet backends' runtime layout).
+if [ -f "$CURDIR/lib/ld.so" ]; then
+	echo "Using lib/ld.so"
+	exec "$CURDIR/lib/ld.so" "$CURDIR/voice-detect-grpc" "$@"
+fi
+
+exec "$CURDIR/voice-detect-grpc" "$@"

backend/go/voice-detect/test.sh

@@ -0,0 +1,14 @@
+#!/bin/bash
+set -e
+
+CURDIR=$(dirname "$(realpath "$0")")
+cd "$CURDIR"
+
+echo "Running voice-detect backend tests..."
+
+# The pure-Go parsing specs always run. The embed/verify/analyze smoke specs run
+# only when a model + WAV are provided via VOICEDETECT_BACKEND_TEST_MODEL and
+# VOICEDETECT_BACKEND_TEST_WAV; otherwise they auto-skip.
+LD_LIBRARY_PATH="$CURDIR:${LD_LIBRARY_PATH:-}" go test -v -timeout 1200s .
+
+echo "voice-detect tests completed."

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?=43d78af5be58f41d6ffbc227d608f104577741ea
+WHISPER_CPP_VERSION?=080bbbe85230f624f0b52127f1ae1218247989f9
 SO_TARGET?=libgowhisper.so
 
 CMAKE_ARGS+=-DBUILD_SHARED_LIBS=OFF

backend/index.yaml

@@ -178,6 +178,35 @@
     nvidia-cuda-12: "cuda12-parakeet-cpp"
     nvidia-l4t-cuda-12: "nvidia-l4t-arm64-parakeet-cpp"
     nvidia-l4t-cuda-13: "cuda13-nvidia-l4t-arm64-parakeet-cpp"
+- &mosstranscribecpp
+  name: "moss-transcribe-cpp"
+  alias: "moss-transcribe-cpp"
+  license: mit
+  icon: https://avatars.githubusercontent.com/u/95302084
+  description: |
+    moss-transcribe.cpp is a C++/ggml port of OpenMOSS MOSS-Transcribe-Diarize, an end-to-end audio understanding model.
+    It does joint long-form transcription, speaker diarization and timestamping in a single pass, emitting a speaker-labelled,
+    time-aligned transcript, and runs on CPU, NVIDIA CUDA, AMD ROCm/HIP, Intel SYCL, Vulkan, Apple Metal and NVIDIA Jetson (L4T) targets.
+  urls:
+    - https://github.com/mudler/moss-transcribe.cpp
+  tags:
+    - audio-transcription
+    - CPU
+    - GPU
+    - CUDA
+    - HIP
+  capabilities:
+    default: "cpu-moss-transcribe-cpp"
+    nvidia: "cuda12-moss-transcribe-cpp"
+    intel: "intel-sycl-f16-moss-transcribe-cpp"
+    metal: "metal-moss-transcribe-cpp"
+    amd: "rocm-moss-transcribe-cpp"
+    vulkan: "vulkan-moss-transcribe-cpp"
+    nvidia-l4t: "nvidia-l4t-arm64-moss-transcribe-cpp"
+    nvidia-cuda-13: "cuda13-moss-transcribe-cpp"
+    nvidia-cuda-12: "cuda12-moss-transcribe-cpp"
+    nvidia-l4t-cuda-12: "nvidia-l4t-arm64-moss-transcribe-cpp"
+    nvidia-l4t-cuda-13: "cuda13-nvidia-l4t-arm64-moss-transcribe-cpp"
 - &ced
   name: "ced"
   alias: "ced"
@@ -209,6 +238,78 @@
     nvidia-cuda-12: "cuda12-ced"
     nvidia-l4t-cuda-12: "nvidia-l4t-arm64-ced"
     nvidia-l4t-cuda-13: "cuda13-nvidia-l4t-arm64-ced"
+- &voicedetect
+  name: "voice-detect"
+  alias: "voice-detect"
+  license: mit
+  icon: https://avatars.githubusercontent.com/u/95302084
+  description: |
+    voice-detect speaker recognition and voice analysis.
+    voice-detect.cpp is a C++/ggml engine that produces L2-normalised
+    speaker embeddings (ECAPA-TDNN, WeSpeaker ResNet34, 3D-Speaker
+    ERes2Net, CAM++) for voice verification and 1:N identification, plus
+    a wav2vec2 age / gender / emotion analysis head. It replaces the
+    Python speaker-recognition backend and is exposed through the Voice*
+    gRPC rpcs and the /v1/voice/* REST endpoints. It runs on CPU, NVIDIA
+    CUDA, AMD ROCm/HIP, Intel SYCL, Vulkan and NVIDIA Jetson (L4T) targets.
+  urls:
+    - https://github.com/mudler/voice-detect.cpp
+  tags:
+    - voice-recognition
+    - speaker-verification
+    - speaker-embedding
+    - CPU
+    - GPU
+    - CUDA
+    - HIP
+  capabilities:
+    default: "cpu-voice-detect"
+    nvidia: "cuda12-voice-detect"
+    intel: "intel-sycl-f16-voice-detect"
+    metal: "metal-voice-detect"
+    amd: "rocm-voice-detect"
+    vulkan: "vulkan-voice-detect"
+    nvidia-l4t: "nvidia-l4t-arm64-voice-detect"
+    nvidia-cuda-13: "cuda13-voice-detect"
+    nvidia-cuda-12: "cuda12-voice-detect"
+    nvidia-l4t-cuda-12: "nvidia-l4t-arm64-voice-detect"
+    nvidia-l4t-cuda-13: "cuda13-nvidia-l4t-arm64-voice-detect"
+- &facedetect
+  name: "face-detect"
+  alias: "face-detect"
+  license: mit
+  icon: https://avatars.githubusercontent.com/u/95302084
+  description: |
+    face-detect face detection, embedding, verification and analysis.
+    face-detect.cpp is a C++/ggml engine that runs SCRFD / YuNet face
+    detection and ArcFace / SFace 512-d (or 128-d) L2-normalised face
+    embeddings for verification and 1:N identification, plus a landmark /
+    age / gender analysis head. It replaces the Python insightface backend
+    and is exposed through the Embedding, Detect and Face* gRPC rpcs and
+    the /v1/face/* REST endpoints. It runs on CPU, NVIDIA CUDA, AMD
+    ROCm/HIP, Intel SYCL, Vulkan and NVIDIA Jetson (L4T) targets.
+  urls:
+    - https://github.com/mudler/face-detect.cpp
+  tags:
+    - face-recognition
+    - face-verification
+    - face-embedding
+    - CPU
+    - GPU
+    - CUDA
+    - HIP
+  capabilities:
+    default: "cpu-face-detect"
+    nvidia: "cuda12-face-detect"
+    intel: "intel-sycl-f16-face-detect"
+    metal: "metal-face-detect"
+    amd: "rocm-face-detect"
+    vulkan: "vulkan-face-detect"
+    nvidia-l4t: "nvidia-l4t-arm64-face-detect"
+    nvidia-cuda-13: "cuda13-face-detect"
+    nvidia-cuda-12: "cuda12-face-detect"
+    nvidia-l4t-cuda-12: "nvidia-l4t-arm64-face-detect"
+    nvidia-l4t-cuda-13: "cuda13-nvidia-l4t-arm64-face-detect"
 - &voxtral
   name: "voxtral"
   alias: "voxtral"
@@ -723,6 +824,30 @@
     nvidia-cuda-12: "cuda12-vllm-omni"
     nvidia-cuda-13: "cuda13-vllm-omni"
     nvidia-l4t-cuda-13: "cuda13-nvidia-l4t-arm64-vllm-omni"
+- &longcat-video
+  name: "longcat-video"
+  alias: "longcat-video"
+  license: mit
+  urls:
+    - https://github.com/meituan-longcat/LongCat-Video
+  tags:
+    - text-to-video
+    - image-to-video
+    - audio-to-video
+    - avatar-generation
+    - video-generation
+    - CUDA
+  icon: https://raw.githubusercontent.com/meituan-longcat/LongCat-Video/main/assets/longcat-video_logo.svg
+  description: |
+    LongCat-Video generation for text, image, and audio-conditioned avatars.
+    Supports LongCat-Video and LongCat-Video-Avatar-1.5, including multi-segment
+    talking-head continuation and an SDPA path for NVIDIA Blackwell ARM64 systems.
+    Requires Linux with an NVIDIA CUDA GPU; CPU, ROCm, and macOS are unsupported.
+  capabilities:
+    nvidia: "cuda12-longcat-video"
+    nvidia-cuda-12: "cuda12-longcat-video"
+    nvidia-cuda-13: "cuda13-longcat-video"
+    nvidia-l4t-cuda-13: "cuda13-nvidia-l4t-arm64-longcat-video"
 - &mlx
   name: "mlx"
   icon: https://avatars.githubusercontent.com/u/102832242?s=200&v=4
@@ -1356,7 +1481,6 @@
     intel: "intel-fish-speech"
     amd: "rocm-fish-speech"
     nvidia-l4t: "nvidia-l4t-fish-speech"
-    metal: "metal-fish-speech"
     default: "cpu-fish-speech"
     nvidia-cuda-13: "cuda13-fish-speech"
     nvidia-cuda-12: "cuda12-fish-speech"
@@ -2713,6 +2837,121 @@
   uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-cuda-13-parakeet-cpp"
   mirrors:
     - localai/localai-backends:master-gpu-nvidia-cuda-13-parakeet-cpp
+## moss-transcribe-cpp
+- !!merge <<: *mosstranscribecpp
+  name: "moss-transcribe-cpp-development"
+  capabilities:
+    default: "cpu-moss-transcribe-cpp-development"
+    nvidia: "cuda12-moss-transcribe-cpp-development"
+    intel: "intel-sycl-f16-moss-transcribe-cpp-development"
+    metal: "metal-moss-transcribe-cpp-development"
+    amd: "rocm-moss-transcribe-cpp-development"
+    vulkan: "vulkan-moss-transcribe-cpp-development"
+    nvidia-l4t: "nvidia-l4t-arm64-moss-transcribe-cpp-development"
+    nvidia-cuda-13: "cuda13-moss-transcribe-cpp-development"
+    nvidia-cuda-12: "cuda12-moss-transcribe-cpp-development"
+    nvidia-l4t-cuda-12: "nvidia-l4t-arm64-moss-transcribe-cpp-development"
+    nvidia-l4t-cuda-13: "cuda13-nvidia-l4t-arm64-moss-transcribe-cpp-development"
+- !!merge <<: *mosstranscribecpp
+  name: "nvidia-l4t-arm64-moss-transcribe-cpp"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-nvidia-l4t-arm64-moss-transcribe-cpp"
+  mirrors:
+    - localai/localai-backends:latest-nvidia-l4t-arm64-moss-transcribe-cpp
+- !!merge <<: *mosstranscribecpp
+  name: "nvidia-l4t-arm64-moss-transcribe-cpp-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-nvidia-l4t-arm64-moss-transcribe-cpp"
+  mirrors:
+    - localai/localai-backends:master-nvidia-l4t-arm64-moss-transcribe-cpp
+- !!merge <<: *mosstranscribecpp
+  name: "cuda13-nvidia-l4t-arm64-moss-transcribe-cpp"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-nvidia-l4t-cuda-13-arm64-moss-transcribe-cpp"
+  mirrors:
+    - localai/localai-backends:latest-nvidia-l4t-cuda-13-arm64-moss-transcribe-cpp
+- !!merge <<: *mosstranscribecpp
+  name: "cuda13-nvidia-l4t-arm64-moss-transcribe-cpp-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-nvidia-l4t-cuda-13-arm64-moss-transcribe-cpp"
+  mirrors:
+    - localai/localai-backends:master-nvidia-l4t-cuda-13-arm64-moss-transcribe-cpp
+- !!merge <<: *mosstranscribecpp
+  name: "cpu-moss-transcribe-cpp"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-cpu-moss-transcribe-cpp"
+  mirrors:
+    - localai/localai-backends:latest-cpu-moss-transcribe-cpp
+- !!merge <<: *mosstranscribecpp
+  name: "cpu-moss-transcribe-cpp-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-cpu-moss-transcribe-cpp"
+  mirrors:
+    - localai/localai-backends:master-cpu-moss-transcribe-cpp
+- !!merge <<: *mosstranscribecpp
+  name: "metal-moss-transcribe-cpp"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-metal-darwin-arm64-moss-transcribe-cpp"
+  mirrors:
+    - localai/localai-backends:latest-metal-darwin-arm64-moss-transcribe-cpp
+- !!merge <<: *mosstranscribecpp
+  name: "metal-moss-transcribe-cpp-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-metal-darwin-arm64-moss-transcribe-cpp"
+  mirrors:
+    - localai/localai-backends:master-metal-darwin-arm64-moss-transcribe-cpp
+- !!merge <<: *mosstranscribecpp
+  name: "cuda12-moss-transcribe-cpp"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-nvidia-cuda-12-moss-transcribe-cpp"
+  mirrors:
+    - localai/localai-backends:latest-gpu-nvidia-cuda-12-moss-transcribe-cpp
+- !!merge <<: *mosstranscribecpp
+  name: "cuda12-moss-transcribe-cpp-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-cuda-12-moss-transcribe-cpp"
+  mirrors:
+    - localai/localai-backends:master-gpu-nvidia-cuda-12-moss-transcribe-cpp
+- !!merge <<: *mosstranscribecpp
+  name: "rocm-moss-transcribe-cpp"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-rocm-hipblas-moss-transcribe-cpp"
+  mirrors:
+    - localai/localai-backends:latest-gpu-rocm-hipblas-moss-transcribe-cpp
+- !!merge <<: *mosstranscribecpp
+  name: "rocm-moss-transcribe-cpp-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-rocm-hipblas-moss-transcribe-cpp"
+  mirrors:
+    - localai/localai-backends:master-gpu-rocm-hipblas-moss-transcribe-cpp
+- !!merge <<: *mosstranscribecpp
+  name: "intel-sycl-f32-moss-transcribe-cpp"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-sycl-f32-moss-transcribe-cpp"
+  mirrors:
+    - localai/localai-backends:latest-gpu-intel-sycl-f32-moss-transcribe-cpp
+- !!merge <<: *mosstranscribecpp
+  name: "intel-sycl-f32-moss-transcribe-cpp-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-sycl-f32-moss-transcribe-cpp"
+  mirrors:
+    - localai/localai-backends:master-gpu-intel-sycl-f32-moss-transcribe-cpp
+- !!merge <<: *mosstranscribecpp
+  name: "intel-sycl-f16-moss-transcribe-cpp"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-sycl-f16-moss-transcribe-cpp"
+  mirrors:
+    - localai/localai-backends:latest-gpu-intel-sycl-f16-moss-transcribe-cpp
+- !!merge <<: *mosstranscribecpp
+  name: "intel-sycl-f16-moss-transcribe-cpp-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-sycl-f16-moss-transcribe-cpp"
+  mirrors:
+    - localai/localai-backends:master-gpu-intel-sycl-f16-moss-transcribe-cpp
+- !!merge <<: *mosstranscribecpp
+  name: "vulkan-moss-transcribe-cpp"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-vulkan-moss-transcribe-cpp"
+  mirrors:
+    - localai/localai-backends:latest-gpu-vulkan-moss-transcribe-cpp
+- !!merge <<: *mosstranscribecpp
+  name: "vulkan-moss-transcribe-cpp-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-vulkan-moss-transcribe-cpp"
+  mirrors:
+    - localai/localai-backends:master-gpu-vulkan-moss-transcribe-cpp
+- !!merge <<: *mosstranscribecpp
+  name: "cuda13-moss-transcribe-cpp"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-nvidia-cuda-13-moss-transcribe-cpp"
+  mirrors:
+    - localai/localai-backends:latest-gpu-nvidia-cuda-13-moss-transcribe-cpp
+- !!merge <<: *mosstranscribecpp
+  name: "cuda13-moss-transcribe-cpp-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-cuda-13-moss-transcribe-cpp"
+  mirrors:
+    - localai/localai-backends:master-gpu-nvidia-cuda-13-moss-transcribe-cpp
 ## ced
 - !!merge <<: *ced
   name: "ced-development"
@@ -2828,6 +3067,236 @@
   uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-cuda-13-ced"
   mirrors:
     - localai/localai-backends:master-gpu-nvidia-cuda-13-ced
+## voice-detect
+- !!merge <<: *voicedetect
+  name: "voice-detect-development"
+  capabilities:
+    default: "cpu-voice-detect-development"
+    nvidia: "cuda12-voice-detect-development"
+    intel: "intel-sycl-f16-voice-detect-development"
+    metal: "metal-voice-detect-development"
+    amd: "rocm-voice-detect-development"
+    vulkan: "vulkan-voice-detect-development"
+    nvidia-l4t: "nvidia-l4t-arm64-voice-detect-development"
+    nvidia-cuda-13: "cuda13-voice-detect-development"
+    nvidia-cuda-12: "cuda12-voice-detect-development"
+    nvidia-l4t-cuda-12: "nvidia-l4t-arm64-voice-detect-development"
+    nvidia-l4t-cuda-13: "cuda13-nvidia-l4t-arm64-voice-detect-development"
+- !!merge <<: *voicedetect
+  name: "nvidia-l4t-arm64-voice-detect"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-nvidia-l4t-arm64-voice-detect"
+  mirrors:
+    - localai/localai-backends:latest-nvidia-l4t-arm64-voice-detect
+- !!merge <<: *voicedetect
+  name: "nvidia-l4t-arm64-voice-detect-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-nvidia-l4t-arm64-voice-detect"
+  mirrors:
+    - localai/localai-backends:master-nvidia-l4t-arm64-voice-detect
+- !!merge <<: *voicedetect
+  name: "cuda13-nvidia-l4t-arm64-voice-detect"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-nvidia-l4t-cuda-13-arm64-voice-detect"
+  mirrors:
+    - localai/localai-backends:latest-nvidia-l4t-cuda-13-arm64-voice-detect
+- !!merge <<: *voicedetect
+  name: "cuda13-nvidia-l4t-arm64-voice-detect-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-nvidia-l4t-cuda-13-arm64-voice-detect"
+  mirrors:
+    - localai/localai-backends:master-nvidia-l4t-cuda-13-arm64-voice-detect
+- !!merge <<: *voicedetect
+  name: "cpu-voice-detect"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-cpu-voice-detect"
+  mirrors:
+    - localai/localai-backends:latest-cpu-voice-detect
+- !!merge <<: *voicedetect
+  name: "cpu-voice-detect-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-cpu-voice-detect"
+  mirrors:
+    - localai/localai-backends:master-cpu-voice-detect
+- !!merge <<: *voicedetect
+  name: "metal-voice-detect"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-metal-darwin-arm64-voice-detect"
+  mirrors:
+    - localai/localai-backends:latest-metal-darwin-arm64-voice-detect
+- !!merge <<: *voicedetect
+  name: "metal-voice-detect-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-metal-darwin-arm64-voice-detect"
+  mirrors:
+    - localai/localai-backends:master-metal-darwin-arm64-voice-detect
+- !!merge <<: *voicedetect
+  name: "cuda12-voice-detect"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-nvidia-cuda-12-voice-detect"
+  mirrors:
+    - localai/localai-backends:latest-gpu-nvidia-cuda-12-voice-detect
+- !!merge <<: *voicedetect
+  name: "cuda12-voice-detect-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-cuda-12-voice-detect"
+  mirrors:
+    - localai/localai-backends:master-gpu-nvidia-cuda-12-voice-detect
+- !!merge <<: *voicedetect
+  name: "rocm-voice-detect"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-rocm-hipblas-voice-detect"
+  mirrors:
+    - localai/localai-backends:latest-gpu-rocm-hipblas-voice-detect
+- !!merge <<: *voicedetect
+  name: "rocm-voice-detect-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-rocm-hipblas-voice-detect"
+  mirrors:
+    - localai/localai-backends:master-gpu-rocm-hipblas-voice-detect
+- !!merge <<: *voicedetect
+  name: "intel-sycl-f32-voice-detect"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-sycl-f32-voice-detect"
+  mirrors:
+    - localai/localai-backends:latest-gpu-intel-sycl-f32-voice-detect
+- !!merge <<: *voicedetect
+  name: "intel-sycl-f32-voice-detect-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-sycl-f32-voice-detect"
+  mirrors:
+    - localai/localai-backends:master-gpu-intel-sycl-f32-voice-detect
+- !!merge <<: *voicedetect
+  name: "intel-sycl-f16-voice-detect"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-sycl-f16-voice-detect"
+  mirrors:
+    - localai/localai-backends:latest-gpu-intel-sycl-f16-voice-detect
+- !!merge <<: *voicedetect
+  name: "intel-sycl-f16-voice-detect-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-sycl-f16-voice-detect"
+  mirrors:
+    - localai/localai-backends:master-gpu-intel-sycl-f16-voice-detect
+- !!merge <<: *voicedetect
+  name: "vulkan-voice-detect"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-vulkan-voice-detect"
+  mirrors:
+    - localai/localai-backends:latest-gpu-vulkan-voice-detect
+- !!merge <<: *voicedetect
+  name: "vulkan-voice-detect-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-vulkan-voice-detect"
+  mirrors:
+    - localai/localai-backends:master-gpu-vulkan-voice-detect
+- !!merge <<: *voicedetect
+  name: "cuda13-voice-detect"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-nvidia-cuda-13-voice-detect"
+  mirrors:
+    - localai/localai-backends:latest-gpu-nvidia-cuda-13-voice-detect
+- !!merge <<: *voicedetect
+  name: "cuda13-voice-detect-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-cuda-13-voice-detect"
+  mirrors:
+    - localai/localai-backends:master-gpu-nvidia-cuda-13-voice-detect
+## face-detect
+- !!merge <<: *facedetect
+  name: "face-detect-development"
+  capabilities:
+    default: "cpu-face-detect-development"
+    nvidia: "cuda12-face-detect-development"
+    intel: "intel-sycl-f16-face-detect-development"
+    metal: "metal-face-detect-development"
+    amd: "rocm-face-detect-development"
+    vulkan: "vulkan-face-detect-development"
+    nvidia-l4t: "nvidia-l4t-arm64-face-detect-development"
+    nvidia-cuda-13: "cuda13-face-detect-development"
+    nvidia-cuda-12: "cuda12-face-detect-development"
+    nvidia-l4t-cuda-12: "nvidia-l4t-arm64-face-detect-development"
+    nvidia-l4t-cuda-13: "cuda13-nvidia-l4t-arm64-face-detect-development"
+- !!merge <<: *facedetect
+  name: "nvidia-l4t-arm64-face-detect"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-nvidia-l4t-arm64-face-detect"
+  mirrors:
+    - localai/localai-backends:latest-nvidia-l4t-arm64-face-detect
+- !!merge <<: *facedetect
+  name: "nvidia-l4t-arm64-face-detect-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-nvidia-l4t-arm64-face-detect"
+  mirrors:
+    - localai/localai-backends:master-nvidia-l4t-arm64-face-detect
+- !!merge <<: *facedetect
+  name: "cuda13-nvidia-l4t-arm64-face-detect"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-nvidia-l4t-cuda-13-arm64-face-detect"
+  mirrors:
+    - localai/localai-backends:latest-nvidia-l4t-cuda-13-arm64-face-detect
+- !!merge <<: *facedetect
+  name: "cuda13-nvidia-l4t-arm64-face-detect-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-nvidia-l4t-cuda-13-arm64-face-detect"
+  mirrors:
+    - localai/localai-backends:master-nvidia-l4t-cuda-13-arm64-face-detect
+- !!merge <<: *facedetect
+  name: "cpu-face-detect"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-cpu-face-detect"
+  mirrors:
+    - localai/localai-backends:latest-cpu-face-detect
+- !!merge <<: *facedetect
+  name: "cpu-face-detect-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-cpu-face-detect"
+  mirrors:
+    - localai/localai-backends:master-cpu-face-detect
+- !!merge <<: *facedetect
+  name: "metal-face-detect"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-metal-darwin-arm64-face-detect"
+  mirrors:
+    - localai/localai-backends:latest-metal-darwin-arm64-face-detect
+- !!merge <<: *facedetect
+  name: "metal-face-detect-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-metal-darwin-arm64-face-detect"
+  mirrors:
+    - localai/localai-backends:master-metal-darwin-arm64-face-detect
+- !!merge <<: *facedetect
+  name: "cuda12-face-detect"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-nvidia-cuda-12-face-detect"
+  mirrors:
+    - localai/localai-backends:latest-gpu-nvidia-cuda-12-face-detect
+- !!merge <<: *facedetect
+  name: "cuda12-face-detect-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-cuda-12-face-detect"
+  mirrors:
+    - localai/localai-backends:master-gpu-nvidia-cuda-12-face-detect
+- !!merge <<: *facedetect
+  name: "rocm-face-detect"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-rocm-hipblas-face-detect"
+  mirrors:
+    - localai/localai-backends:latest-gpu-rocm-hipblas-face-detect
+- !!merge <<: *facedetect
+  name: "rocm-face-detect-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-rocm-hipblas-face-detect"
+  mirrors:
+    - localai/localai-backends:master-gpu-rocm-hipblas-face-detect
+- !!merge <<: *facedetect
+  name: "intel-sycl-f32-face-detect"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-sycl-f32-face-detect"
+  mirrors:
+    - localai/localai-backends:latest-gpu-intel-sycl-f32-face-detect
+- !!merge <<: *facedetect
+  name: "intel-sycl-f32-face-detect-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-sycl-f32-face-detect"
+  mirrors:
+    - localai/localai-backends:master-gpu-intel-sycl-f32-face-detect
+- !!merge <<: *facedetect
+  name: "intel-sycl-f16-face-detect"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-sycl-f16-face-detect"
+  mirrors:
+    - localai/localai-backends:latest-gpu-intel-sycl-f16-face-detect
+- !!merge <<: *facedetect
+  name: "intel-sycl-f16-face-detect-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-sycl-f16-face-detect"
+  mirrors:
+    - localai/localai-backends:master-gpu-intel-sycl-f16-face-detect
+- !!merge <<: *facedetect
+  name: "vulkan-face-detect"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-vulkan-face-detect"
+  mirrors:
+    - localai/localai-backends:latest-gpu-vulkan-face-detect
+- !!merge <<: *facedetect
+  name: "vulkan-face-detect-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-vulkan-face-detect"
+  mirrors:
+    - localai/localai-backends:master-gpu-vulkan-face-detect
+- !!merge <<: *facedetect
+  name: "cuda13-face-detect"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-nvidia-cuda-13-face-detect"
+  mirrors:
+    - localai/localai-backends:latest-gpu-nvidia-cuda-13-face-detect
+- !!merge <<: *facedetect
+  name: "cuda13-face-detect-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-cuda-13-face-detect"
+  mirrors:
+    - localai/localai-backends:master-gpu-nvidia-cuda-13-face-detect
 ## stablediffusion-ggml
 - !!merge <<: *stablediffusionggml
   name: "cpu-stablediffusion-ggml"
@@ -3160,6 +3629,44 @@
   uri: "quay.io/go-skynet/local-ai-backends:master-gpu-rocm-hipblas-vllm-omni"
   mirrors:
     - localai/localai-backends:master-gpu-rocm-hipblas-vllm-omni
+# longcat-video
+- !!merge <<: *longcat-video
+  name: "longcat-video-development"
+  capabilities:
+    nvidia: "cuda12-longcat-video-development"
+    nvidia-cuda-12: "cuda12-longcat-video-development"
+    nvidia-cuda-13: "cuda13-longcat-video-development"
+    nvidia-l4t-cuda-13: "cuda13-nvidia-l4t-arm64-longcat-video-development"
+- !!merge <<: *longcat-video
+  name: "cuda12-longcat-video"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-nvidia-cuda-12-longcat-video"
+  mirrors:
+    - localai/localai-backends:latest-gpu-nvidia-cuda-12-longcat-video
+- !!merge <<: *longcat-video
+  name: "cuda13-longcat-video"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-nvidia-cuda-13-longcat-video"
+  mirrors:
+    - localai/localai-backends:latest-gpu-nvidia-cuda-13-longcat-video
+- !!merge <<: *longcat-video
+  name: "cuda13-nvidia-l4t-arm64-longcat-video"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-nvidia-l4t-cuda-13-arm64-longcat-video"
+  mirrors:
+    - localai/localai-backends:latest-nvidia-l4t-cuda-13-arm64-longcat-video
+- !!merge <<: *longcat-video
+  name: "cuda12-longcat-video-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-cuda-12-longcat-video"
+  mirrors:
+    - localai/localai-backends:master-gpu-nvidia-cuda-12-longcat-video
+- !!merge <<: *longcat-video
+  name: "cuda13-longcat-video-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-cuda-13-longcat-video"
+  mirrors:
+    - localai/localai-backends:master-gpu-nvidia-cuda-13-longcat-video
+- !!merge <<: *longcat-video
+  name: "cuda13-nvidia-l4t-arm64-longcat-video-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-nvidia-l4t-cuda-13-arm64-longcat-video"
+  mirrors:
+    - localai/localai-backends:master-nvidia-l4t-cuda-13-arm64-longcat-video
 # rfdetr
 - !!merge <<: *rfdetr
   name: "rfdetr-development"
@@ -4870,7 +5377,6 @@
     intel: "intel-fish-speech-development"
     amd: "rocm-fish-speech-development"
     nvidia-l4t: "nvidia-l4t-fish-speech-development"
-    metal: "metal-fish-speech-development"
     default: "cpu-fish-speech-development"
     nvidia-cuda-13: "cuda13-fish-speech-development"
     nvidia-cuda-12: "cuda12-fish-speech-development"
@@ -4946,16 +5452,6 @@
   uri: "quay.io/go-skynet/local-ai-backends:master-nvidia-l4t-cuda-13-arm64-fish-speech"
   mirrors:
     - localai/localai-backends:master-nvidia-l4t-cuda-13-arm64-fish-speech
-- !!merge <<: *fish-speech
-  name: "metal-fish-speech"
-  uri: "quay.io/go-skynet/local-ai-backends:latest-metal-darwin-arm64-fish-speech"
-  mirrors:
-    - localai/localai-backends:latest-metal-darwin-arm64-fish-speech
-- !!merge <<: *fish-speech
-  name: "metal-fish-speech-development"
-  uri: "quay.io/go-skynet/local-ai-backends:master-metal-darwin-arm64-fish-speech"
-  mirrors:
-    - localai/localai-backends:master-metal-darwin-arm64-fish-speech
 ## faster-qwen3-tts
 - !!merge <<: *faster-qwen3-tts
   name: "faster-qwen3-tts-development"