feat: upgrade banner with Upgrade All button, detect pre-existing backends

- Add upgrade banner on Backends page showing count and Upgrade All button
- Fix upgrade detection for backends installed before version tracking:
  flag as upgradeable when gallery has a version but installed has none
- Fix OCI digest check to flag backends with no stored digest as upgradeable

.agents/adding-gallery-models.md

@@ -0,0 +1,111 @@
+# Adding GGUF Models from HuggingFace to the Gallery
+
+When adding a GGUF model from HuggingFace to the LocalAI model gallery, follow this guide.
+
+## Gallery file
+
+All models are defined in `gallery/index.yaml`. Find the appropriate section (embedding models near other embeddings, chat models near similar chat models) and add a new entry.
+
+## Getting the SHA256
+
+GGUF files on HuggingFace expose their SHA256 via the `x-linked-etag` HTTP header. Fetch it with:
+
+```bash
+curl -sI "https://huggingface.co/<org>/<repo>/resolve/main/<filename>.gguf" | grep -i x-linked-etag
+```
+
+The value (without quotes) is the SHA256 hash. Example:
+
+```bash
+curl -sI "https://huggingface.co/ggml-org/embeddinggemma-300m-qat-q8_0-GGUF/resolve/main/embeddinggemma-300m-qat-Q8_0.gguf" | grep -i x-linked-etag
+# x-linked-etag: "6fa0c02a9c302be6f977521d399b4de3a46310a4f2621ee0063747881b673f67"
+```
+
+**Important**: Pay attention to exact filename casing — HuggingFace filenames are case-sensitive (e.g., `Q8_0` vs `q8_0`). Check the repo's file listing to get the exact name.
+
+## Entry format — Embedding models
+
+Embedding models use `gallery/virtual.yaml` as the base config and set `embeddings: true`:
+
+```yaml
+- name: "model-name"
+  url: github:mudler/LocalAI/gallery/virtual.yaml@master
+  urls:
+    - https://huggingface.co/<original-model-org>/<original-model-name>
+    - https://huggingface.co/<gguf-org>/<gguf-repo-name>
+  description: |
+    Short description of the model, its size, and capabilities.
+  tags:
+    - embeddings
+  overrides:
+    backend: llama-cpp
+    embeddings: true
+    parameters:
+      model: <filename>.gguf
+  files:
+    - filename: <filename>.gguf
+      uri: huggingface://<gguf-org>/<gguf-repo-name>/<filename>.gguf
+      sha256: <sha256-hash>
+```
+
+## Entry format — Chat/LLM models
+
+Chat models typically reference a template config (e.g., `gallery/gemma.yaml`, `gallery/chatml.yaml`) that defines the prompt format. Use YAML anchors (`&name` / `*name`) if adding multiple quantization variants of the same model:
+
+```yaml
+- &model-anchor
+  url: "github:mudler/LocalAI/gallery/<template>.yaml@master"
+  name: "model-name"
+  icon: https://example.com/icon.png
+  license: <license>
+  urls:
+    - https://huggingface.co/<org>/<model>
+    - https://huggingface.co/<gguf-org>/<gguf-repo>
+  description: |
+    Model description.
+  tags:
+    - llm
+    - gguf
+    - gpu
+    - cpu
+  overrides:
+    parameters:
+      model: <filename>-Q4_K_M.gguf
+  files:
+    - filename: <filename>-Q4_K_M.gguf
+      sha256: <sha256>
+      uri: huggingface://<gguf-org>/<gguf-repo>/<filename>-Q4_K_M.gguf
+```
+
+To add a variant (e.g., different quantization), use YAML merge:
+
+```yaml
+- !!merge <<: *model-anchor
+  name: "model-name-q8"
+  overrides:
+    parameters:
+      model: <filename>-Q8_0.gguf
+  files:
+    - filename: <filename>-Q8_0.gguf
+      sha256: <sha256>
+      uri: huggingface://<gguf-org>/<gguf-repo>/<filename>-Q8_0.gguf
+```
+
+## Available template configs
+
+Look at existing `.yaml` files in `gallery/` to find the right prompt template for your model architecture:
+
+- `gemma.yaml` — Gemma-family models (gemma, embeddinggemma, etc.)
+- `chatml.yaml` — ChatML format (many Mistral/OpenHermes models)
+- `deepseek.yaml` — DeepSeek models
+- `virtual.yaml` — Minimal base (good for embedding models that don't need chat templates)
+
+## Checklist
+
+1. **Find the GGUF file** on HuggingFace — note exact filename (case-sensitive)
+2. **Get the SHA256** using the `curl -sI` + `x-linked-etag` method above
+3. **Choose the right template** config from `gallery/` based on model architecture
+4. **Add the entry** to `gallery/index.yaml` near similar models
+5. **Set `embeddings: true`** if it's an embedding model
+6. **Include both URLs** — the original model page and the GGUF repo
+7. **Write a description** — mention model size, capabilities, and quantization type

.github/workflows/backend.yml

@@ -105,6 +105,19 @@ jobs:
             dockerfile: "./backend/Dockerfile.python"
             context: "./"
             ubuntu-version: '2404'
+          - build-type: ''
+            cuda-major-version: ""
+            cuda-minor-version: ""
+            platforms: 'linux/amd64'
+            tag-latest: 'auto'
+            tag-suffix: '-cpu-faster-whisper'
+            runs-on: 'ubuntu-latest'
+            base-image: "ubuntu:24.04"
+            skip-drivers: 'true'
+            backend: "faster-whisper"
+            dockerfile: "./backend/Dockerfile.python"
+            context: "./"
+            ubuntu-version: '2404'
           - build-type: ''
             cuda-major-version: ""
             cuda-minor-version: ""
@@ -561,6 +574,19 @@ jobs:
             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-sam3-cpp'
+            runs-on: 'ubuntu-latest'
+            base-image: "ubuntu:24.04"
+            skip-drivers: 'false'
+            backend: "sam3-cpp"
+            dockerfile: "./backend/Dockerfile.golang"
+            context: "./"
+            ubuntu-version: '2404'
           - build-type: 'cublas'
             cuda-major-version: "12"
             cuda-minor-version: "8"
@@ -965,6 +991,32 @@ jobs:
             backend: "mlx-distributed"
             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-whisperx'
+            runs-on: 'ubuntu-24.04-arm'
+            base-image: "ubuntu:24.04"
+            skip-drivers: 'false'
+            ubuntu-version: '2404'
+            backend: "whisperx"
+            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-faster-whisper'
+            runs-on: 'ubuntu-24.04-arm'
+            base-image: "ubuntu:24.04"
+            skip-drivers: 'false'
+            ubuntu-version: '2404'
+            backend: "faster-whisper"
+            dockerfile: "./backend/Dockerfile.python"
+            context: "./"
           - build-type: 'cublas'
             cuda-major-version: "13"
             cuda-minor-version: "0"
@@ -1108,6 +1160,32 @@ jobs:
             backend: "stablediffusion-ggml"
             dockerfile: "./backend/Dockerfile.golang"
             context: "./"
+          - build-type: 'cublas'
+            cuda-major-version: "13"
+            cuda-minor-version: "0"
+            platforms: 'linux/amd64'
+            tag-latest: 'auto'
+            tag-suffix: '-gpu-nvidia-cuda-13-sam3-cpp'
+            runs-on: 'ubuntu-latest'
+            base-image: "ubuntu:24.04"
+            skip-drivers: 'false'
+            backend: "sam3-cpp"
+            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-sam3-cpp'
+            base-image: "ubuntu:24.04"
+            ubuntu-version: '2404'
+            runs-on: 'ubuntu-24.04-arm'
+            backend: "sam3-cpp"
+            dockerfile: "./backend/Dockerfile.golang"
+            context: "./"
           - build-type: 'cublas'
             cuda-major-version: "13"
             cuda-minor-version: "0"
@@ -1644,6 +1722,32 @@ jobs:
             dockerfile: "./backend/Dockerfile.python"
             context: "./"
             ubuntu-version: '2204'
+          - build-type: 'l4t'
+            cuda-major-version: "12"
+            cuda-minor-version: "0"
+            platforms: 'linux/arm64'
+            tag-latest: 'auto'
+            tag-suffix: '-nvidia-l4t-whisperx'
+            runs-on: 'ubuntu-24.04-arm'
+            base-image: "nvcr.io/nvidia/l4t-jetpack:r36.4.0"
+            skip-drivers: 'true'
+            backend: "whisperx"
+            dockerfile: "./backend/Dockerfile.python"
+            context: "./"
+            ubuntu-version: '2204'
+          - build-type: 'l4t'
+            cuda-major-version: "12"
+            cuda-minor-version: "0"
+            platforms: 'linux/arm64'
+            tag-latest: 'auto'
+            tag-suffix: '-nvidia-l4t-faster-whisper'
+            runs-on: 'ubuntu-24.04-arm'
+            base-image: "nvcr.io/nvidia/l4t-jetpack:r36.4.0"
+            skip-drivers: 'true'
+            backend: "faster-whisper"
+            dockerfile: "./backend/Dockerfile.python"
+            context: "./"
+            ubuntu-version: '2204'
           # SYCL additional backends
           - build-type: 'intel'
             cuda-major-version: ""
@@ -1842,6 +1946,59 @@ jobs:
             dockerfile: "./backend/Dockerfile.golang"
             context: "./"
             ubuntu-version: '2404'
+          # sam3-cpp
+          - build-type: ''
+            cuda-major-version: ""
+            cuda-minor-version: ""
+            platforms: 'linux/amd64'
+            tag-latest: 'auto'
+            tag-suffix: '-cpu-sam3-cpp'
+            runs-on: 'ubuntu-latest'
+            base-image: "ubuntu:24.04"
+            skip-drivers: 'false'
+            backend: "sam3-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-sam3-cpp'
+            runs-on: 'ubuntu-latest'
+            base-image: "intel/oneapi-basekit:2025.3.0-0-devel-ubuntu24.04"
+            skip-drivers: 'false'
+            backend: "sam3-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-sam3-cpp'
+            runs-on: 'ubuntu-latest'
+            base-image: "intel/oneapi-basekit:2025.3.0-0-devel-ubuntu24.04"
+            skip-drivers: 'false'
+            backend: "sam3-cpp"
+            dockerfile: "./backend/Dockerfile.golang"
+            context: "./"
+            ubuntu-version: '2404'
+          - build-type: 'vulkan'
+            cuda-major-version: ""
+            cuda-minor-version: ""
+            platforms: 'linux/amd64,linux/arm64'
+            tag-latest: 'auto'
+            tag-suffix: '-gpu-vulkan-sam3-cpp'
+            runs-on: 'ubuntu-latest'
+            base-image: "ubuntu:24.04"
+            skip-drivers: 'false'
+            backend: "sam3-cpp"
+            dockerfile: "./backend/Dockerfile.golang"
+            context: "./"
+            ubuntu-version: '2404'
           - build-type: 'sycl_f32'
             cuda-major-version: ""
             cuda-minor-version: ""
@@ -1894,6 +2051,19 @@ jobs:
             dockerfile: "./backend/Dockerfile.golang"
             context: "./"
             ubuntu-version: '2204'
+          - build-type: 'cublas'
+            cuda-major-version: "12"
+            cuda-minor-version: "0"
+            platforms: 'linux/arm64'
+            skip-drivers: 'false'
+            tag-latest: 'auto'
+            tag-suffix: '-nvidia-l4t-arm64-sam3-cpp'
+            base-image: "nvcr.io/nvidia/l4t-jetpack:r36.4.0"
+            runs-on: 'ubuntu-24.04-arm'
+            backend: "sam3-cpp"
+            dockerfile: "./backend/Dockerfile.golang"
+            context: "./"
+            ubuntu-version: '2204'
           # whisper
           - build-type: ''
             cuda-major-version: ""

.github/workflows/bump_deps.yaml

@@ -34,6 +34,10 @@ jobs:
             variable: "ACESTEP_CPP_VERSION"
             branch: "master"
             file: "backend/go/acestep-cpp/Makefile"
+          - repository: "PABannier/sam3.cpp"
+            variable: "SAM3_VERSION"
+            branch: "main"
+            file: "backend/go/sam3-cpp/Makefile"
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v6

.github/workflows/test-extra.yml

@@ -31,6 +31,7 @@ jobs:
       llama-cpp-quantization: ${{ steps.detect.outputs.llama-cpp-quantization }}
       acestep-cpp: ${{ steps.detect.outputs.acestep-cpp }}
       voxtral: ${{ steps.detect.outputs.voxtral }}
+      kokoros: ${{ steps.detect.outputs.kokoros }}
     steps:
       - name: Checkout repository
         uses: actions/checkout@v6
@@ -528,3 +529,25 @@ jobs:
       - name: Test voxtral
         run: |
           make --jobs=5 --output-sync=target -C backend/go/voxtral test
+  tests-kokoros:
+    needs: detect-changes
+    if: needs.detect-changes.outputs.kokoros == 'true' || needs.detect-changes.outputs.run-all == 'true'
+    runs-on: ubuntu-latest
+    steps:
+      - name: Clone
+        uses: actions/checkout@v6
+        with:
+          submodules: true
+      - name: Dependencies
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y build-essential cmake pkg-config protobuf-compiler clang libclang-dev
+          sudo apt-get install -y espeak-ng libespeak-ng-dev libsonic-dev libpcaudio-dev libopus-dev libssl-dev
+          curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y
+          echo "$HOME/.cargo/bin" >> $GITHUB_PATH
+      - name: Build kokoros
+        run: |
+          make -C backend/rust/kokoros kokoros-grpc
+      - name: Test kokoros
+        run: |
+          make -C backend/rust/kokoros test

.gitmodules

@@ -1,3 +1,6 @@
 [submodule "docs/themes/hugo-theme-relearn"]
 	path = docs/themes/hugo-theme-relearn
 	url = https://github.com/McShelby/hugo-theme-relearn.git
+[submodule "backend/rust/kokoros/sources/Kokoros"]
+	path = backend/rust/kokoros/sources/Kokoros
+	url = https://github.com/lucasjinreal/Kokoros

AGENTS.md

@@ -13,6 +13,7 @@ This file is an index to detailed topic guides in the `.agents/` directory. Read
 | [.agents/testing-mcp-apps.md](.agents/testing-mcp-apps.md) | Testing MCP Apps (interactive tool UIs) in the React UI |
 | [.agents/api-endpoints-and-auth.md](.agents/api-endpoints-and-auth.md) | Adding API endpoints, auth middleware, feature permissions, user access control |
 | [.agents/debugging-backends.md](.agents/debugging-backends.md) | Debugging runtime backend failures, dependency conflicts, rebuilding backends |
+| [.agents/adding-gallery-models.md](.agents/adding-gallery-models.md) | Adding GGUF models from HuggingFace to the model gallery |
 
 ## Quick Reference
 

Makefile

@@ -1,5 +1,5 @@
 # Disable parallel execution for backend builds
-.NOTPARALLEL: backends/diffusers backends/llama-cpp backends/outetts backends/piper backends/stablediffusion-ggml backends/whisper backends/faster-whisper backends/silero-vad backends/local-store backends/huggingface backends/rfdetr 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/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
+.NOTPARALLEL: backends/diffusers backends/llama-cpp backends/outetts backends/piper backends/stablediffusion-ggml backends/whisper backends/faster-whisper backends/silero-vad backends/local-store backends/huggingface backends/rfdetr 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/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
 
 GOCMD=go
 GOTEST=$(GOCMD) test
@@ -148,7 +148,6 @@ test-models/testmodel.ggml:
 	mkdir -p test-dir
 	wget -q https://huggingface.co/mradermacher/gpt2-alpaca-gpt4-GGUF/resolve/main/gpt2-alpaca-gpt4.Q4_K_M.gguf -O test-models/testmodel.ggml
 	wget -q https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base.en.bin -O test-models/whisper-en
-	wget -q https://huggingface.co/mudler/all-MiniLM-L6-v2/resolve/main/ggml-model-q4_0.bin -O test-models/bert
 	wget -q https://cdn.openai.com/whisper/draft-20220913a/micro-machines.wav -O test-dir/audio.wav
 	cp tests/models_fixtures/* test-models
 
@@ -429,9 +428,11 @@ prepare-test-extra: protogen-python
 	$(MAKE) -C backend/python/qwen-asr
 	$(MAKE) -C backend/python/nemo
 	$(MAKE) -C backend/python/voxcpm
+	$(MAKE) -C backend/python/faster-whisper
 	$(MAKE) -C backend/python/whisperx
 	$(MAKE) -C backend/python/ace-step
 	$(MAKE) -C backend/python/trl
+	$(MAKE) -C backend/rust/kokoros kokoros-grpc
 
 test-extra: prepare-test-extra
 	$(MAKE) -C backend/python/transformers test
@@ -449,9 +450,11 @@ test-extra: prepare-test-extra
 	$(MAKE) -C backend/python/qwen-asr test
 	$(MAKE) -C backend/python/nemo test
 	$(MAKE) -C backend/python/voxcpm test
+	$(MAKE) -C backend/python/faster-whisper test
 	$(MAKE) -C backend/python/whisperx test
 	$(MAKE) -C backend/python/ace-step test
 	$(MAKE) -C backend/python/trl test
+	$(MAKE) -C backend/rust/kokoros test
 
 DOCKER_IMAGE?=local-ai
 IMAGE_TYPE?=core
@@ -587,6 +590,12 @@ BACKEND_MLX_DISTRIBUTED = mlx-distributed|python|./|false|true
 BACKEND_TRL = trl|python|.|false|true
 BACKEND_LLAMA_CPP_QUANTIZATION = llama-cpp-quantization|python|.|false|true
 
+# Rust backends
+BACKEND_KOKOROS = kokoros|rust|.|false|true
+
+# C++ backends (Go wrapper with purego)
+BACKEND_SAM3_CPP = sam3-cpp|golang|.|false|true
+
 # Helper function to build docker image for a backend
 # Usage: $(call docker-build-backend,BACKEND_NAME,DOCKERFILE_TYPE,BUILD_CONTEXT,PROGRESS_FLAG,NEEDS_BACKEND_ARG)
 define docker-build-backend
@@ -645,12 +654,14 @@ $(eval $(call generate-docker-build-target,$(BACKEND_ACESTEP_CPP)))
 $(eval $(call generate-docker-build-target,$(BACKEND_MLX_DISTRIBUTED)))
 $(eval $(call generate-docker-build-target,$(BACKEND_TRL)))
 $(eval $(call generate-docker-build-target,$(BACKEND_LLAMA_CPP_QUANTIZATION)))
+$(eval $(call generate-docker-build-target,$(BACKEND_KOKOROS)))
+$(eval $(call generate-docker-build-target,$(BACKEND_SAM3_CPP)))
 
 # Pattern rule for docker-save targets
 docker-save-%: backend-images
 	docker save local-ai-backend:$* -o backend-images/$*.tar
 
-docker-build-backends: docker-build-llama-cpp docker-build-rerankers docker-build-vllm docker-build-vllm-omni docker-build-transformers docker-build-outetts docker-build-diffusers docker-build-kokoro docker-build-faster-whisper docker-build-coqui docker-build-chatterbox docker-build-vibevoice docker-build-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-backends: docker-build-llama-cpp docker-build-rerankers docker-build-vllm docker-build-vllm-omni docker-build-transformers docker-build-outetts docker-build-diffusers docker-build-kokoro docker-build-faster-whisper docker-build-coqui docker-build-chatterbox docker-build-vibevoice docker-build-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-kokoros docker-build-sam3-cpp
 
 ########################################################
 ### Mock Backend for E2E Tests

README.md

@@ -42,16 +42,38 @@ Created and maintained by [Ettore Di Giacinto](https://github.com/mudler).
 
 > [:book: Documentation](https://localai.io/) | [:speech_balloon: Discord](https://discord.gg/uJAeKSAGDy) | [💻 Quickstart](https://localai.io/basics/getting_started/) | [🖼️ Models](https://models.localai.io/) | [❓FAQ](https://localai.io/faq/)
 
-## Screenshots
+## Guided tour
-
-### Chat, Model gallery
 
 https://github.com/user-attachments/assets/08cbb692-57da-48f7-963d-2e7b43883c18
 
-### Agents
+<details>
+
+<summary>
+Click to see more!
+</summary>
+
+#### User and auth
+
+https://github.com/user-attachments/assets/228fa9ad-81a3-4d43-bfb9-31557e14a36c
+
+#### Agents
 
 https://github.com/user-attachments/assets/6270b331-e21d-4087-a540-6290006b381a
 
+#### Usage metrics per user
+
+https://github.com/user-attachments/assets/cbb03379-23b4-4e3d-bd26-d152f057007f
+
+#### Fine-tuning and Quantization
+
+https://github.com/user-attachments/assets/5ba4ace9-d3df-4795-b7d4-b0b404ea71ee
+
+#### WebRTC
+
+https://github.com/user-attachments/assets/ed88e34c-fed3-4b83-8a67-4716a9feeb7b
+
+</details>
+
 ## Quickstart
 
 ### macOS
@@ -174,6 +196,7 @@ See the full [Backend & Model Compatibility Table](https://localai.io/model-comp
 - [Build from source](https://localai.io/basics/build/)
 - [Kubernetes installation](https://localai.io/basics/getting_started/#run-localai-in-kubernetes)
 - [Integrations & community projects](https://localai.io/docs/integrations/)
+- [Installation video walkthrough](https://www.youtube.com/watch?v=cMVNnlqwfw4)
 - [Media & blog posts](https://localai.io/basics/news/#media-blogs-social)
 - [Examples](https://github.com/mudler/LocalAI-examples)
 

backend/Dockerfile.rust

@@ -0,0 +1,39 @@
+ARG BASE_IMAGE=ubuntu:24.04
+
+FROM ${BASE_IMAGE} AS builder
+ARG BACKEND=kokoros
+ENV DEBIAN_FRONTEND=noninteractive
+ARG TARGETARCH
+ARG TARGETVARIANT
+
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends \
+        build-essential \
+        git ccache \
+        ca-certificates \
+        make cmake wget \
+        curl unzip \
+        clang \
+        pkg-config \
+        libssl-dev \
+        espeak-ng libespeak-ng-dev \
+        libsonic-dev libpcaudio-dev \
+        libopus-dev \
+        protobuf-compiler && \
+    apt-get clean && \
+    rm -rf /var/lib/apt/lists/*
+
+# Install Rust
+RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y
+ENV PATH="/root/.cargo/bin:${PATH}"
+
+COPY . /LocalAI
+
+RUN git config --global --add safe.directory /LocalAI
+
+RUN make -C /LocalAI/backend/rust/${BACKEND} build
+
+FROM scratch
+ARG BACKEND=kokoros
+
+COPY --from=builder /LocalAI/backend/rust/${BACKEND}/package/. ./

backend/backend.proto

@@ -444,6 +444,10 @@ message Message {
 
 message DetectOptions {
   string src = 1;
+  string prompt = 2;           // Text prompt (for SAM 3 PCS mode)
+  repeated float points = 3;   // Point coordinates as [x1, y1, label1, x2, y2, label2, ...] (label: 1=pos, 0=neg)
+  repeated float boxes = 4;    // Box coordinates as [x1, y1, x2, y2, ...]
+  float threshold = 5;         // Detection confidence threshold
 }
 
 message Detection {
@@ -453,6 +457,7 @@ message Detection {
   float height = 4;
   float confidence = 5;
   string class_name = 6;
+  bytes mask = 7;              // PNG-encoded binary segmentation mask
 }
 
 message DetectResponse {

backend/cpp/llama-cpp/Makefile

@@ -1,5 +1,5 @@
 
-LLAMA_VERSION?=95a6ebabb277c4cc18247e7bc2a5502133caca63
+LLAMA_VERSION?=e62fa13c2497b2cd1958cb496e9489e86bbd5182
 LLAMA_REPO?=https://github.com/ggerganov/llama.cpp
 
 CMAKE_ARGS?=

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

@@ -40,45 +40,41 @@ using grpc::ServerBuilder;
 using grpc::ServerContext;
 using grpc::Status;
 
-// gRPC bearer token auth via AuthMetadataProcessor for distributed mode.
+// gRPC bearer token auth for distributed mode.
 // Reads LOCALAI_GRPC_AUTH_TOKEN from the environment. When set, rejects
 // requests without a matching "authorization: Bearer <token>" metadata header.
-class TokenAuthMetadataProcessor : public grpc::AuthMetadataProcessor {
-public:
-    explicit TokenAuthMetadataProcessor(const std::string& token) : token_(token) {}
 
-    bool IsBlocking() const override { return false; }
+// Cached auth token — empty means auth is disabled.
+static std::string g_grpc_auth_token;
 
-    grpc::Status Process(const InputMetadata& auth_metadata,
+// Minimal constant-time comparison (avoids OpenSSL dependency)
-                         grpc::AuthContext* /*context*/,
+static int ct_memcmp(const void* a, const void* b, size_t n) {
-                         OutputMetadata* /*consumed_auth_metadata*/,
+    const unsigned char* pa = static_cast<const unsigned char*>(a);
-                         OutputMetadata* /*response_metadata*/) override {
+    const unsigned char* pb = static_cast<const unsigned char*>(b);
-        auto it = auth_metadata.find("authorization");
+    unsigned char result = 0;
-        if (it != auth_metadata.end()) {
+    for (size_t i = 0; i < n; i++) {
-            std::string expected = "Bearer " + token_;
+        result |= pa[i] ^ pb[i];
-            std::string got(it->second.data(), it->second.size());
-            // Constant-time comparison
-            if (expected.size() == got.size() && ct_memcmp(expected.data(), got.data(), expected.size()) == 0) {
-                return grpc::Status::OK;
-            }
-        }
-        return grpc::Status(grpc::StatusCode::UNAUTHENTICATED, "invalid token");
     }
+    return result;
+}
 
-private:
+// Returns OK when auth is disabled or the token matches.
-    std::string token_;
+static grpc::Status checkAuth(grpc::ServerContext* context) {
-
+    if (g_grpc_auth_token.empty()) {
-    // Minimal constant-time comparison (avoids OpenSSL dependency)
+        return grpc::Status::OK;
-    static int ct_memcmp(const void* a, const void* b, size_t n) {
-        const unsigned char* pa = static_cast<const unsigned char*>(a);
-        const unsigned char* pb = static_cast<const unsigned char*>(b);
-        unsigned char result = 0;
-        for (size_t i = 0; i < n; i++) {
-            result |= pa[i] ^ pb[i];
-        }
-        return result;
     }
-};
+    auto metadata = context->client_metadata();
+    auto it = metadata.find("authorization");
+    if (it != metadata.end()) {
+        std::string expected = "Bearer " + g_grpc_auth_token;
+        std::string got(it->second.data(), it->second.size());
+        if (expected.size() == got.size() &&
+            ct_memcmp(expected.data(), got.data(), expected.size()) == 0) {
+            return grpc::Status::OK;
+        }
+    }
+    return grpc::Status(grpc::StatusCode::UNAUTHENTICATED, "invalid token");
+}
 
 // END LocalAI
 
@@ -288,6 +284,12 @@ json parse_options(bool streaming, const backend::PredictOptions* predict, const
     data["ignore_eos"] = predict->ignoreeos();
     data["embeddings"] = predict->embeddings();
 
+    // Speculative decoding per-request overrides
+    // NDraft maps to speculative.n_max (maximum draft tokens per speculation step)
+    if (predict->ndraft() > 0) {
+        data["speculative.n_max"] = predict->ndraft();
+    }
+
     // Add the correlationid to json data
     data["correlation_id"] = predict->correlationid();
 
@@ -406,6 +408,16 @@ static void params_parse(server_context& /*ctx_server*/, const backend::ModelOpt
     if (!request->mmproj().empty()) {
       params.mmproj.path = request->mmproj();
     }
+
+    // Draft model for speculative decoding
+    if (!request->draftmodel().empty()) {
+        params.speculative.mparams_dft.path = request->draftmodel();
+        // Default to draft type if a draft model is set but no explicit type
+        if (params.speculative.type == COMMON_SPECULATIVE_TYPE_NONE) {
+            params.speculative.type = COMMON_SPECULATIVE_TYPE_DRAFT;
+        }
+    }
+
     //  params.model_alias ??
     params.model_alias.insert(request->modelfile());
     if (!request->cachetypekey().empty()) {
@@ -613,6 +625,48 @@ static void params_parse(server_context& /*ctx_server*/, const backend::ModelOpt
                     // If conversion fails, keep default value (8)
                 }
             }
+        // Speculative decoding options
+        } else if (!strcmp(optname, "spec_type") || !strcmp(optname, "speculative_type")) {
+            auto type = common_speculative_type_from_name(optval_str);
+            if (type != COMMON_SPECULATIVE_TYPE_COUNT) {
+                params.speculative.type = type;
+            }
+        } else if (!strcmp(optname, "spec_n_max") || !strcmp(optname, "draft_max")) {
+            if (optval != NULL) {
+                try { params.speculative.n_max = std::stoi(optval_str); } catch (...) {}
+            }
+        } else if (!strcmp(optname, "spec_n_min") || !strcmp(optname, "draft_min")) {
+            if (optval != NULL) {
+                try { params.speculative.n_min = std::stoi(optval_str); } catch (...) {}
+            }
+        } else if (!strcmp(optname, "spec_p_min") || !strcmp(optname, "draft_p_min")) {
+            if (optval != NULL) {
+                try { params.speculative.p_min = std::stof(optval_str); } catch (...) {}
+            }
+        } else if (!strcmp(optname, "spec_p_split")) {
+            if (optval != NULL) {
+                try { params.speculative.p_split = std::stof(optval_str); } catch (...) {}
+            }
+        } else if (!strcmp(optname, "spec_ngram_size_n") || !strcmp(optname, "ngram_size_n")) {
+            if (optval != NULL) {
+                try { params.speculative.ngram_size_n = (uint16_t)std::stoi(optval_str); } catch (...) {}
+            }
+        } else if (!strcmp(optname, "spec_ngram_size_m") || !strcmp(optname, "ngram_size_m")) {
+            if (optval != NULL) {
+                try { params.speculative.ngram_size_m = (uint16_t)std::stoi(optval_str); } catch (...) {}
+            }
+        } else if (!strcmp(optname, "spec_ngram_min_hits") || !strcmp(optname, "ngram_min_hits")) {
+            if (optval != NULL) {
+                try { params.speculative.ngram_min_hits = (uint16_t)std::stoi(optval_str); } catch (...) {}
+            }
+        } else if (!strcmp(optname, "draft_gpu_layers")) {
+            if (optval != NULL) {
+                try { params.speculative.n_gpu_layers = std::stoi(optval_str); } catch (...) {}
+            }
+        } else if (!strcmp(optname, "draft_ctx_size")) {
+            if (optval != NULL) {
+                try { params.speculative.n_ctx = std::stoi(optval_str); } catch (...) {}
+            }
         }
     }
 
@@ -757,13 +811,17 @@ private:
 public:
     BackendServiceImpl(server_context& ctx) : ctx_server(ctx) {}
 
-    grpc::Status Health(ServerContext* /*context*/, const backend::HealthMessage* /*request*/, backend::Reply* reply) override {
+    grpc::Status Health(ServerContext* context, const backend::HealthMessage* /*request*/, backend::Reply* reply) override {
+        auto auth = checkAuth(context);
+        if (!auth.ok()) return auth;
         // Implement Health RPC
         reply->set_message("OK");
         return Status::OK;
     }
 
-    grpc::Status LoadModel(ServerContext* /*context*/, const backend::ModelOptions* request, backend::Result* result) override {
+    grpc::Status LoadModel(ServerContext* context, const backend::ModelOptions* request, backend::Result* result) override {
+        auto auth = checkAuth(context);
+        if (!auth.ok()) return auth;
         // Implement LoadModel RPC
         common_params params;
         params_parse(ctx_server, request, params);
@@ -962,6 +1020,8 @@ public:
     }
 
     grpc::Status PredictStream(grpc::ServerContext* context, const backend::PredictOptions* request, grpc::ServerWriter<backend::Reply>* writer) override {
+        auto auth = checkAuth(context);
+        if (!auth.ok()) return auth;
         if (params_base.model.path.empty()) {
             return grpc::Status(grpc::StatusCode::FAILED_PRECONDITION, "Model not loaded");
         }
@@ -1249,6 +1309,7 @@ public:
 
                 body_json["messages"] = messages_json;
                 body_json["stream"] = true; // PredictStream is always streaming
+                body_json["stream_options"] = {{"include_usage", true}}; // Ensure token counts in final chunk
 
                 // Check if grammar is provided from Go layer (NoGrammar=false)
                 // If grammar is provided, we must use it and NOT let template generate grammar from tools
@@ -1553,11 +1614,15 @@ public:
                         ctx_server.impl->vocab,
                         params_base,
                         ctx_server.get_meta().slot_n_ctx,
+                        ctx_server.get_meta().logit_bias_eog,
                         data);
                 task.id_slot = json_value(data, "id_slot", -1);
 
-                // OAI-compat
+                // OAI-compat: enable autoparser (PEG-based chat parsing) so that
-                task.params.res_type                 = TASK_RESPONSE_TYPE_NONE;
+                // reasoning, tool calls, and content are classified into ChatDeltas.
+                // Without this, the PEG parser never produces diffs and the Go side
+                // cannot detect tool calls or separate reasoning from content.
+                task.params.res_type                 = TASK_RESPONSE_TYPE_OAI_CHAT;
                 task.params.oaicompat_cmpl_id         = completion_id;
                 // oaicompat_model is already populated by params_from_json_cmpl
 
@@ -1582,19 +1647,47 @@ public:
             return grpc::Status(grpc::StatusCode::INTERNAL, error_json.value("message", "Error occurred"));
         }
 
-        // Lambda to build a Reply from JSON + attach chat deltas from a result
+        // Lambda to build a Reply from JSON + attach chat deltas from a result.
+        // Handles both native format ({"content": "..."}) and OAI chat format
+        // ({"choices": [{"delta": {"content": "...", "reasoning": "..."}}]}).
         auto build_reply_from_json = [](const json & res_json, server_task_result * raw_result) -> backend::Reply {
             backend::Reply reply;
-            std::string completion_text = res_json.value("content", "");
+            std::string completion_text;
-            reply.set_message(completion_text);
-            reply.set_tokens(res_json.value("tokens_predicted", 0));
-            reply.set_prompt_tokens(res_json.value("tokens_evaluated", 0));
 
+            if (res_json.contains("choices")) {
+                // OAI chat format — extract content from choices[0].delta
+                const auto & choices = res_json.at("choices");
+                if (!choices.empty()) {
+                    const auto & delta = choices[0].value("delta", json::object());
+                    if (delta.contains("content") && !delta.at("content").is_null()) {
+                        completion_text = delta.at("content").get<std::string>();
+                    }
+                }
+            } else {
+                // Native llama.cpp format
+                completion_text = res_json.value("content", "");
+            }
+
+            reply.set_message(completion_text);
+
+            // Token counts: native format has top-level fields,
+            // OAI format has them in "usage" (final chunk only)
+            if (res_json.contains("usage")) {
+                const auto & usage = res_json.at("usage");
+                reply.set_tokens(usage.value("completion_tokens", 0));
+                reply.set_prompt_tokens(usage.value("prompt_tokens", 0));
+            } else {
+                reply.set_tokens(res_json.value("tokens_predicted", 0));
+                reply.set_prompt_tokens(res_json.value("tokens_evaluated", 0));
+            }
+
+            // Timings: present as top-level "timings" in both formats
             if (res_json.contains("timings")) {
                 reply.set_timing_prompt_processing(res_json.at("timings").value("prompt_ms", 0.0));
                 reply.set_timing_token_generation(res_json.at("timings").value("predicted_ms", 0.0));
             }
 
+            // Logprobs: extract_logprobs_from_json handles both formats
             json logprobs_json = extract_logprobs_from_json(res_json);
             if (!logprobs_json.empty() && !logprobs_json.is_null()) {
                 reply.set_logprobs(logprobs_json.dump());
@@ -1603,6 +1696,12 @@ public:
             return reply;
         };
 
+        // Attach chat deltas from the autoparser to a Reply.
+        // When diffs are available, populate ChatDeltas on the reply.
+        // The raw message is always preserved so the Go side can use it
+        // for reasoning extraction and tool call parsing as a fallback
+        // (important in distributed mode where ChatDeltas may not be
+        // the primary parsing path).
         auto attach_chat_deltas = [](backend::Reply & reply, server_task_result * raw_result) {
             // Try streaming partial result first
             auto* partial = dynamic_cast<server_task_result_cmpl_partial*>(raw_result);
@@ -1617,12 +1716,23 @@ public:
             }
         };
 
-        // Process first result
+        // Process first result.
+        // When TASK_RESPONSE_TYPE_OAI_CHAT is used, the first token may
+        // produce a JSON array with a role-init element followed by the
+        // actual content element. We must only attach chat deltas to the
+        // content element — attaching to both would duplicate the first
+        // token since oaicompat_msg_diffs is the same for both.
         json first_res_json = first_result->to_json();
         if (first_res_json.is_array()) {
             for (const auto & res : first_res_json) {
                 auto reply = build_reply_from_json(res, first_result.get());
-                attach_chat_deltas(reply, first_result.get());
+                // Skip chat deltas for role-init elements (have "role" in
+                // delta but no content/reasoning diffs of their own).
+                bool is_role_init = res.contains("choices") && !res["choices"].empty() &&
+                                    res["choices"][0].value("delta", json::object()).contains("role");
+                if (!is_role_init) {
+                    attach_chat_deltas(reply, first_result.get());
+                }
                 writer->Write(reply);
             }
         } else {
@@ -1646,7 +1756,11 @@ public:
             if (res_json.is_array()) {
                 for (const auto & res : res_json) {
                     auto reply = build_reply_from_json(res, result.get());
-                    attach_chat_deltas(reply, result.get());
+                    bool is_role_init = res.contains("choices") && !res["choices"].empty() &&
+                                        res["choices"][0].value("delta", json::object()).contains("role");
+                    if (!is_role_init) {
+                        attach_chat_deltas(reply, result.get());
+                    }
                     writer->Write(reply);
                 }
             } else {
@@ -1665,6 +1779,8 @@ public:
     }
 
     grpc::Status Predict(ServerContext* context, const backend::PredictOptions* request, backend::Reply* reply) override {
+         auto auth = checkAuth(context);
+         if (!auth.ok()) return auth;
          if (params_base.model.path.empty()) {
              return grpc::Status(grpc::StatusCode::FAILED_PRECONDITION, "Model not loaded");
          }
@@ -2282,11 +2398,13 @@ public:
                         ctx_server.impl->vocab,
                         params_base,
                         ctx_server.get_meta().slot_n_ctx,
+                        ctx_server.get_meta().logit_bias_eog,
                         data);
                 task.id_slot = json_value(data, "id_slot", -1);
 
-                // OAI-compat
+                // OAI-compat: enable autoparser (PEG-based chat parsing) so that
-                task.params.res_type                 = TASK_RESPONSE_TYPE_NONE;
+                // reasoning, tool calls, and content are classified into ChatDeltas.
+                task.params.res_type                 = TASK_RESPONSE_TYPE_OAI_CHAT;
                 task.params.oaicompat_cmpl_id         = completion_id;
                 // oaicompat_model is already populated by params_from_json_cmpl
 
@@ -2317,25 +2435,48 @@ public:
                 auto* final_res = dynamic_cast<server_task_result_cmpl_final*>(all_results.results[0].get());
                 GGML_ASSERT(final_res != nullptr);
                 json result_json = all_results.results[0]->to_json();
-                reply->set_message(result_json.value("content", ""));
 
-                int32_t tokens_predicted = result_json.value("tokens_predicted", 0);
+                // Handle both native format ({"content": "...", "tokens_predicted": N})
+                // and OAI chat format ({"choices": [{"message": {"content": "..."}}],
+                // "usage": {"completion_tokens": N, "prompt_tokens": N}}).
+                std::string completion_text;
+                int32_t tokens_predicted = 0;
+                int32_t tokens_evaluated = 0;
+
+                if (result_json.contains("choices")) {
+                    // OAI chat format
+                    const auto & choices = result_json.at("choices");
+                    if (!choices.empty()) {
+                        const auto & msg = choices[0].value("message", json::object());
+                        if (msg.contains("content") && !msg.at("content").is_null()) {
+                            completion_text = msg.at("content").get<std::string>();
+                        }
+                    }
+                    if (result_json.contains("usage")) {
+                        const auto & usage = result_json.at("usage");
+                        tokens_predicted = usage.value("completion_tokens", 0);
+                        tokens_evaluated = usage.value("prompt_tokens", 0);
+                    }
+                } else {
+                    // Native llama.cpp format
+                    completion_text = result_json.value("content", "");
+                    tokens_predicted = result_json.value("tokens_predicted", 0);
+                    tokens_evaluated = result_json.value("tokens_evaluated", 0);
+                }
+                reply->set_message(completion_text);
                 reply->set_tokens(tokens_predicted);
-                int32_t tokens_evaluated = result_json.value("tokens_evaluated", 0);
                 reply->set_prompt_tokens(tokens_evaluated);
 
+                // Timings: present in both formats as a top-level "timings" object
                 if (result_json.contains("timings")) {
-                    double timing_prompt_processing = result_json.at("timings").value("prompt_ms", 0.0);
+                    reply->set_timing_prompt_processing(result_json.at("timings").value("prompt_ms", 0.0));
-                    reply->set_timing_prompt_processing(timing_prompt_processing);
+                    reply->set_timing_token_generation(result_json.at("timings").value("predicted_ms", 0.0));
-                    double timing_token_generation = result_json.at("timings").value("predicted_ms", 0.0);
-                    reply->set_timing_token_generation(timing_token_generation);
                 }
 
-                // Extract and set logprobs if present
+                // Logprobs: extract_logprobs_from_json handles both formats
                 json logprobs_json = extract_logprobs_from_json(result_json);
                 if (!logprobs_json.empty() && !logprobs_json.is_null()) {
-                    std::string logprobs_str = logprobs_json.dump();
+                    reply->set_logprobs(logprobs_json.dump());
-                    reply->set_logprobs(logprobs_str);
                 }
 
                 // Populate chat deltas from the autoparser's final parsed message
@@ -2351,7 +2492,20 @@ public:
                 for (auto & res : all_results.results) {
                     GGML_ASSERT(dynamic_cast<server_task_result_cmpl_final*>(res.get()) != nullptr);
                     json res_json = res->to_json();
-                    arr.push_back(res_json.value("content", ""));
+                    // Handle both native and OAI chat formats
+                    std::string result_content;
+                    if (res_json.contains("choices")) {
+                        const auto & choices = res_json.at("choices");
+                        if (!choices.empty()) {
+                            const auto & msg = choices[0].value("message", json::object());
+                            if (msg.contains("content") && !msg.at("content").is_null()) {
+                                result_content = msg.at("content").get<std::string>();
+                            }
+                        }
+                    } else {
+                        result_content = res_json.value("content", "");
+                    }
+                    arr.push_back(result_content);
 
                     // Extract logprobs for each result
                     json logprobs_json = extract_logprobs_from_json(res_json);
@@ -2383,6 +2537,8 @@ public:
     }
 
     grpc::Status Embedding(ServerContext* context, const backend::PredictOptions* request, backend::EmbeddingResult* embeddingResult) override {
+        auto auth = checkAuth(context);
+        if (!auth.ok()) return auth;
         if (params_base.model.path.empty()) {
             return grpc::Status(grpc::StatusCode::FAILED_PRECONDITION, "Model not loaded");
         }
@@ -2563,7 +2719,9 @@ public:
         return grpc::Status::OK;
     }
 
-    grpc::Status TokenizeString(ServerContext* /*context*/, const backend::PredictOptions* request, backend::TokenizationResponse* response) override {
+    grpc::Status TokenizeString(ServerContext* context, const backend::PredictOptions* request, backend::TokenizationResponse* response) override {
+        auto auth = checkAuth(context);
+        if (!auth.ok()) return auth;
         if (params_base.model.path.empty()) {
             return grpc::Status(grpc::StatusCode::FAILED_PRECONDITION, "Model not loaded");
         }
@@ -2803,19 +2961,14 @@ int main(int argc, char** argv) {
     BackendServiceImpl service(ctx_server);
 
     ServerBuilder builder;
-    // Add bearer token auth via AuthMetadataProcessor if LOCALAI_GRPC_AUTH_TOKEN is set
+    builder.AddListeningPort(server_address, grpc::InsecureServerCredentials());
-    const char* auth_token = std::getenv("LOCALAI_GRPC_AUTH_TOKEN");
-    std::shared_ptr<grpc::ServerCredentials> creds;
-    if (auth_token != nullptr && auth_token[0] != '\0') {
-        creds = grpc::InsecureServerCredentials();
-        creds->SetAuthMetadataProcessor(
-            std::make_shared<TokenAuthMetadataProcessor>(auth_token));
-        std::cout << "gRPC auth enabled via LOCALAI_GRPC_AUTH_TOKEN" << std::endl;
-    } else {
-        creds = grpc::InsecureServerCredentials();
-    }
 
-    builder.AddListeningPort(server_address, creds);
+    // Initialize bearer token auth if LOCALAI_GRPC_AUTH_TOKEN is set
+    const char* auth_token = std::getenv("LOCALAI_GRPC_AUTH_TOKEN");
+    if (auth_token != nullptr && auth_token[0] != '\0') {
+        g_grpc_auth_token = auth_token;
+        std::cout << "gRPC auth enabled via LOCALAI_GRPC_AUTH_TOKEN" << std::endl;
+    }
     builder.RegisterService(&service);
     builder.SetMaxMessageSize(50 * 1024 * 1024); // 50MB
     builder.SetMaxSendMessageSize(50 * 1024 * 1024); // 50MB

backend/go/acestep-cpp/Makefile

@@ -8,7 +8,7 @@ JOBS?=$(shell nproc --ignore=1)
 
 # acestep.cpp version
 ACESTEP_REPO?=https://github.com/ace-step/acestep.cpp
-ACESTEP_CPP_VERSION?=6f35c874ee11e86d511b860019b84976f5b52d3a
+ACESTEP_CPP_VERSION?=e0c8d75a672fca5684c88c68dbf6d12f58754258
 SO_TARGET?=libgoacestepcpp.so
 
 CMAKE_ARGS+=-DBUILD_SHARED_LIBS=OFF

backend/go/sam3-cpp/.gitignore

@@ -0,0 +1,7 @@
+sources/
+build*/
+package/
+libgosam3*.so
+sam3-cpp
+test-models/
+test-data/

backend/go/sam3-cpp/CMakeLists.txt

@@ -0,0 +1,26 @@
+cmake_minimum_required(VERSION 3.14)
+project(gosam3 LANGUAGES C CXX)
+set(CMAKE_POSITION_INDEPENDENT_CODE ON)
+
+# Build ggml as static libraries to avoid runtime .so dependencies
+set(BUILD_SHARED_LIBS OFF CACHE BOOL "Build static libraries" FORCE)
+
+set(SAM3_BUILD_EXAMPLES OFF CACHE BOOL "Disable sam3.cpp examples" FORCE)
+set(SAM3_BUILD_TESTS OFF CACHE BOOL "Disable sam3.cpp tests" FORCE)
+
+add_subdirectory(./sources/sam3.cpp)
+
+add_library(gosam3 MODULE gosam3.cpp)
+target_link_libraries(gosam3 PRIVATE sam3 ggml)
+
+if(CMAKE_CXX_COMPILER_ID MATCHES "GNU" AND CMAKE_CXX_COMPILER_VERSION VERSION_LESS 9.0)
+    target_link_libraries(gosam3 PRIVATE stdc++fs)
+endif()
+
+target_include_directories(gosam3 PUBLIC
+    sources/sam3.cpp
+    sources/sam3.cpp/ggml/include
+)
+
+set_property(TARGET gosam3 PROPERTY CXX_STANDARD 14)
+set_target_properties(gosam3 PROPERTIES LIBRARY_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR})

backend/go/sam3-cpp/Makefile

@@ -0,0 +1,122 @@
+CMAKE_ARGS?=
+BUILD_TYPE?=
+NATIVE?=false
+
+GOCMD?=go
+GO_TAGS?=
+JOBS?=$(shell nproc --ignore=1)
+
+# sam3.cpp
+SAM3_REPO?=https://github.com/PABannier/sam3.cpp
+SAM3_VERSION?=01832ef85fcc8eb6488f1d01cd247f07e96ff5a9
+
+ifeq ($(NATIVE),false)
+	CMAKE_ARGS+=-DGGML_NATIVE=OFF
+endif
+
+# If build type is cublas, then we set -DGGML_CUDA=ON to CMAKE_ARGS automatically
+ifeq ($(BUILD_TYPE),cublas)
+	CMAKE_ARGS+=-DGGML_CUDA=ON
+else ifeq ($(BUILD_TYPE),openblas)
+	CMAKE_ARGS+=-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
+else ifeq ($(BUILD_TYPE),clblas)
+	CMAKE_ARGS+=-DGGML_CLBLAST=ON
+else ifeq ($(BUILD_TYPE),hipblas)
+	ROCM_HOME ?= /opt/rocm
+	ROCM_PATH ?= /opt/rocm
+	export CXX=$(ROCM_HOME)/llvm/bin/clang++
+	export CC=$(ROCM_HOME)/llvm/bin/clang
+	AMDGPU_TARGETS?=gfx803,gfx900,gfx906,gfx908,gfx90a,gfx942,gfx1010,gfx1030,gfx1032,gfx1100,gfx1101,gfx1102,gfx1200,gfx1201
+	CMAKE_ARGS+=-DGGML_HIPBLAS=ON -DAMDGPU_TARGETS=$(AMDGPU_TARGETS)
+else ifeq ($(BUILD_TYPE),vulkan)
+	CMAKE_ARGS+=-DGGML_VULKAN=ON
+else ifeq ($(OS),Darwin)
+	ifneq ($(BUILD_TYPE),metal)
+		CMAKE_ARGS+=-DGGML_METAL=OFF
+	else
+		CMAKE_ARGS+=-DGGML_METAL=ON
+		CMAKE_ARGS+=-DGGML_METAL_EMBED_LIBRARY=ON
+	endif
+endif
+
+ifeq ($(BUILD_TYPE),sycl_f16)
+	CMAKE_ARGS+=-DGGML_SYCL=ON \
+		-DCMAKE_C_COMPILER=icx \
+		-DCMAKE_CXX_COMPILER=icpx \
+		-DGGML_SYCL_F16=ON
+endif
+
+ifeq ($(BUILD_TYPE),sycl_f32)
+	CMAKE_ARGS+=-DGGML_SYCL=ON \
+		-DCMAKE_C_COMPILER=icx \
+		-DCMAKE_CXX_COMPILER=icpx
+endif
+
+sources/sam3.cpp:
+	git clone --recursive $(SAM3_REPO) sources/sam3.cpp && \
+	cd sources/sam3.cpp && \
+	git checkout $(SAM3_VERSION) && \
+	git submodule update --init --recursive --depth 1 --single-branch
+
+# Detect OS
+UNAME_S := $(shell uname -s)
+
+# Only build CPU variants on Linux
+ifeq ($(UNAME_S),Linux)
+	VARIANT_TARGETS = libgosam3-avx.so libgosam3-avx2.so libgosam3-avx512.so libgosam3-fallback.so
+else
+	# On non-Linux (e.g., Darwin), build only fallback variant
+	VARIANT_TARGETS = libgosam3-fallback.so
+endif
+
+sam3-cpp: main.go gosam3.go $(VARIANT_TARGETS)
+	CGO_ENABLED=0 $(GOCMD) build -tags "$(GO_TAGS)" -o sam3-cpp ./
+
+package: sam3-cpp
+	bash package.sh
+
+build: package
+
+clean: purge
+	rm -rf libgosam3*.so sam3-cpp package sources
+
+purge:
+	rm -rf build*
+
+# Build all variants (Linux only)
+ifeq ($(UNAME_S),Linux)
+libgosam3-avx.so: sources/sam3.cpp
+	$(MAKE) purge
+	$(info ${GREEN}I sam3-cpp build info:avx${RESET})
+	SO_TARGET=libgosam3-avx.so CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_BMI2=off" $(MAKE) libgosam3-custom
+	rm -rfv build*
+
+libgosam3-avx2.so: sources/sam3.cpp
+	$(MAKE) purge
+	$(info ${GREEN}I sam3-cpp build info:avx2${RESET})
+	SO_TARGET=libgosam3-avx2.so CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=on -DGGML_AVX512=off -DGGML_FMA=on -DGGML_F16C=on -DGGML_BMI2=on" $(MAKE) libgosam3-custom
+	rm -rfv build*
+
+libgosam3-avx512.so: sources/sam3.cpp
+	$(MAKE) purge
+	$(info ${GREEN}I sam3-cpp build info:avx512${RESET})
+	SO_TARGET=libgosam3-avx512.so CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=on -DGGML_AVX512=on -DGGML_FMA=on -DGGML_F16C=on -DGGML_BMI2=on" $(MAKE) libgosam3-custom
+	rm -rfv build*
+endif
+
+# Build fallback variant (all platforms)
+libgosam3-fallback.so: sources/sam3.cpp
+	$(MAKE) purge
+	$(info ${GREEN}I sam3-cpp build info:fallback${RESET})
+	SO_TARGET=libgosam3-fallback.so CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=off -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_BMI2=off" $(MAKE) libgosam3-custom
+	rm -rfv build*
+
+libgosam3-custom: CMakeLists.txt gosam3.cpp gosam3.h
+	mkdir -p build-$(SO_TARGET) && \
+	cd build-$(SO_TARGET) && \
+	cmake .. $(CMAKE_ARGS) && \
+	cmake --build . --config Release -j$(JOBS) && \
+	cd .. && \
+	mv build-$(SO_TARGET)/libgosam3.so ./$(SO_TARGET)
+
+all: sam3-cpp package

backend/go/sam3-cpp/gosam3.cpp

@@ -0,0 +1,193 @@
+#include "sam3.h"
+#include "gosam3.h"
+
+#include <cstdio>
+#include <cstring>
+#include <memory>
+#include <vector>
+
+#define STB_IMAGE_WRITE_IMPLEMENTATION
+#define STB_IMAGE_WRITE_STATIC
+#include "stb_image_write.h"
+
+// Static state
+static std::shared_ptr<sam3_model> g_model;
+static sam3_state_ptr g_state;
+static sam3_result g_result;
+static std::vector<std::vector<unsigned char>> g_mask_pngs;
+
+// Callback for stbi_write_png_to_mem via stbi_write_png_to_func
+static void png_write_callback(void *context, void *data, int size) {
+    auto *buf = static_cast<std::vector<unsigned char>*>(context);
+    auto *bytes = static_cast<unsigned char*>(data);
+    buf->insert(buf->end(), bytes, bytes + size);
+}
+
+// Encode all masks as PNGs after segmentation
+static void encode_masks_as_png() {
+    g_mask_pngs.clear();
+    g_mask_pngs.resize(g_result.detections.size());
+
+    for (size_t i = 0; i < g_result.detections.size(); i++) {
+        const auto &mask = g_result.detections[i].mask;
+        if (mask.width > 0 && mask.height > 0 && !mask.data.empty()) {
+            stbi_write_png_to_func(png_write_callback, &g_mask_pngs[i],
+                                   mask.width, mask.height, 1,
+                                   mask.data.data(), mask.width);
+        }
+    }
+}
+
+extern "C" {
+
+int sam3_cpp_load_model(const char *model_path, int threads) {
+    sam3_params params;
+    params.model_path = model_path;
+    params.n_threads = threads;
+    params.use_gpu = true;
+
+    g_model = sam3_load_model(params);
+    if (!g_model) {
+        fprintf(stderr, "[sam3-cpp] Failed to load model: %s\n", model_path);
+        return 1;
+    }
+
+    g_state = sam3_create_state(*g_model, params);
+    if (!g_state) {
+        fprintf(stderr, "[sam3-cpp] Failed to create state\n");
+        g_model.reset();
+        return 2;
+    }
+
+    fprintf(stderr, "[sam3-cpp] Model loaded: %s (threads=%d)\n", model_path, threads);
+    return 0;
+}
+
+int sam3_cpp_encode_image(const char *image_path) {
+    if (!g_model || !g_state) {
+        fprintf(stderr, "[sam3-cpp] Model not loaded\n");
+        return 1;
+    }
+
+    sam3_image img = sam3_load_image(image_path);
+    if (img.data.empty()) {
+        fprintf(stderr, "[sam3-cpp] Failed to load image: %s\n", image_path);
+        return 2;
+    }
+
+    if (!sam3_encode_image(*g_state, *g_model, img)) {
+        fprintf(stderr, "[sam3-cpp] Failed to encode image\n");
+        return 3;
+    }
+
+    return 0;
+}
+
+int sam3_cpp_segment_pvs(float *points, int n_point_triples,
+                         float *boxes, int n_box_quads,
+                         float threshold) {
+    if (!g_model || !g_state) {
+        return -1;
+    }
+
+    sam3_pvs_params pvs_params;
+
+    // Parse points: each triple is [x, y, label]
+    for (int i = 0; i < n_point_triples; i++) {
+        float x = points[i * 3];
+        float y = points[i * 3 + 1];
+        float label = points[i * 3 + 2];
+        sam3_point pt = {x, y};
+        if (label > 0.5f) {
+            pvs_params.pos_points.push_back(pt);
+        } else {
+            pvs_params.neg_points.push_back(pt);
+        }
+    }
+
+    // Parse boxes: each quad is [x1, y1, x2, y2], use only first box
+    if (n_box_quads > 0) {
+        pvs_params.box = {boxes[0], boxes[1], boxes[2], boxes[3]};
+        pvs_params.use_box = true;
+    }
+
+    g_result = sam3_segment_pvs(*g_state, *g_model, pvs_params);
+    encode_masks_as_png();
+
+    return static_cast<int>(g_result.detections.size());
+}
+
+int sam3_cpp_segment_pcs(const char *text_prompt, float threshold) {
+    if (!g_model || !g_state) {
+        return -1;
+    }
+
+    // PCS mode requires SAM 3 (full model with text encoder)
+    if (sam3_is_visual_only(*g_model) ||
+        sam3_get_model_type(*g_model) != SAM3_MODEL_SAM3) {
+        fprintf(stderr, "[sam3-cpp] PCS mode requires full SAM 3 model\n");
+        return -1;
+    }
+
+    sam3_pcs_params pcs_params;
+    pcs_params.text_prompt = text_prompt;
+    pcs_params.score_threshold = threshold > 0 ? threshold : 0.5f;
+
+    g_result = sam3_segment_pcs(*g_state, *g_model, pcs_params);
+    encode_masks_as_png();
+
+    return static_cast<int>(g_result.detections.size());
+}
+
+int sam3_cpp_get_n_detections(void) {
+    return static_cast<int>(g_result.detections.size());
+}
+
+float sam3_cpp_get_detection_x(int i) {
+    if (i < 0 || i >= static_cast<int>(g_result.detections.size())) return 0;
+    return g_result.detections[i].box.x0;
+}
+
+float sam3_cpp_get_detection_y(int i) {
+    if (i < 0 || i >= static_cast<int>(g_result.detections.size())) return 0;
+    return g_result.detections[i].box.y0;
+}
+
+float sam3_cpp_get_detection_w(int i) {
+    if (i < 0 || i >= static_cast<int>(g_result.detections.size())) return 0;
+    const auto &box = g_result.detections[i].box;
+    return box.x1 - box.x0;
+}
+
+float sam3_cpp_get_detection_h(int i) {
+    if (i < 0 || i >= static_cast<int>(g_result.detections.size())) return 0;
+    const auto &box = g_result.detections[i].box;
+    return box.y1 - box.y0;
+}
+
+float sam3_cpp_get_detection_score(int i) {
+    if (i < 0 || i >= static_cast<int>(g_result.detections.size())) return 0;
+    return g_result.detections[i].score;
+}
+
+int sam3_cpp_get_detection_mask_png(int i, unsigned char *buf, int buf_size) {
+    if (i < 0 || i >= static_cast<int>(g_mask_pngs.size())) return 0;
+
+    const auto &png = g_mask_pngs[i];
+    int size = static_cast<int>(png.size());
+
+    if (buf == nullptr) {
+        return size;
+    }
+
+    int to_copy = size < buf_size ? size : buf_size;
+    memcpy(buf, png.data(), to_copy);
+    return to_copy;
+}
+
+void sam3_cpp_free_results(void) {
+    g_result.detections.clear();
+    g_mask_pngs.clear();
+}
+
+} // extern "C"

backend/go/sam3-cpp/gosam3.go

@@ -0,0 +1,143 @@
+package main
+
+import (
+	"encoding/base64"
+	"fmt"
+	"os"
+	"path/filepath"
+	"unsafe"
+
+	"github.com/mudler/LocalAI/pkg/grpc/base"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
+)
+
+type SAM3 struct {
+	base.SingleThread
+}
+
+var (
+	CppLoadModel        func(modelPath string, threads int) int
+	CppEncodeImage      func(imagePath string) int
+	CppSegmentPVS       func(points uintptr, nPointTriples int, boxes uintptr, nBoxQuads int, threshold float32) int
+	CppSegmentPCS       func(textPrompt string, threshold float32) int
+	CppGetNDetections   func() int
+	CppGetDetectionX    func(i int) float32
+	CppGetDetectionY    func(i int) float32
+	CppGetDetectionW    func(i int) float32
+	CppGetDetectionH    func(i int) float32
+	CppGetDetectionScore func(i int) float32
+	CppGetDetectionMaskPNG func(i int, buf uintptr, bufSize int) int
+	CppFreeResults      func()
+)
+
+func (s *SAM3) Load(opts *pb.ModelOptions) error {
+	modelFile := opts.ModelFile
+	if modelFile == "" {
+		modelFile = opts.Model
+	}
+
+	var modelPath string
+	if filepath.IsAbs(modelFile) {
+		modelPath = modelFile
+	} else {
+		modelPath = filepath.Join(opts.ModelPath, modelFile)
+	}
+
+	threads := int(opts.Threads)
+	if threads <= 0 {
+		threads = 4
+	}
+
+	ret := CppLoadModel(modelPath, threads)
+	if ret != 0 {
+		return fmt.Errorf("failed to load SAM3 model (error %d): %s", ret, modelPath)
+	}
+
+	return nil
+}
+
+func (s *SAM3) Detect(opts *pb.DetectOptions) (pb.DetectResponse, error) {
+	// Decode base64 image and write to temp file
+	imgData, err := base64.StdEncoding.DecodeString(opts.Src)
+	if err != nil {
+		return pb.DetectResponse{}, fmt.Errorf("failed to decode image: %w", err)
+	}
+
+	tmpFile, err := os.CreateTemp("", "sam3-*.png")
+	if err != nil {
+		return pb.DetectResponse{}, fmt.Errorf("failed to create temp file: %w", err)
+	}
+	defer os.Remove(tmpFile.Name())
+
+	if _, err := tmpFile.Write(imgData); err != nil {
+		tmpFile.Close()
+		return pb.DetectResponse{}, fmt.Errorf("failed to write temp file: %w", err)
+	}
+	tmpFile.Close()
+
+	// Encode image
+	ret := CppEncodeImage(tmpFile.Name())
+	if ret != 0 {
+		return pb.DetectResponse{}, fmt.Errorf("failed to encode image (error %d)", ret)
+	}
+
+	threshold := opts.Threshold
+	if threshold <= 0 {
+		threshold = 0.5
+	}
+
+	// Determine segmentation mode
+	var nDetections int
+	if opts.Prompt != "" {
+		// Text-prompted segmentation (PCS mode, SAM 3 only)
+		nDetections = CppSegmentPCS(opts.Prompt, threshold)
+	} else {
+		// Point/box-prompted segmentation (PVS mode)
+		var pointsPtr uintptr
+		var boxesPtr uintptr
+		nPointTriples := len(opts.Points) / 3
+		nBoxQuads := len(opts.Boxes) / 4
+
+		if nPointTriples > 0 {
+			pointsPtr = uintptr(unsafe.Pointer(&opts.Points[0]))
+		}
+		if nBoxQuads > 0 {
+			boxesPtr = uintptr(unsafe.Pointer(&opts.Boxes[0]))
+		}
+
+		nDetections = CppSegmentPVS(pointsPtr, nPointTriples, boxesPtr, nBoxQuads, threshold)
+	}
+
+	if nDetections < 0 {
+		return pb.DetectResponse{}, fmt.Errorf("segmentation failed")
+	}
+
+	defer CppFreeResults()
+
+	// Build response
+	detections := make([]*pb.Detection, nDetections)
+	for i := 0; i < nDetections; i++ {
+		det := &pb.Detection{
+			X:          CppGetDetectionX(i),
+			Y:          CppGetDetectionY(i),
+			Width:      CppGetDetectionW(i),
+			Height:     CppGetDetectionH(i),
+			Confidence: CppGetDetectionScore(i),
+			ClassName:  "segment",
+		}
+
+		// Get mask PNG
+		maskSize := CppGetDetectionMaskPNG(i, 0, 0)
+		if maskSize > 0 {
+			maskBuf := make([]byte, maskSize)
+			CppGetDetectionMaskPNG(i, uintptr(unsafe.Pointer(&maskBuf[0])), maskSize)
+			det.Mask = maskBuf
+		}
+
+		detections[i] = det
+	}
+
+	return pb.DetectResponse{
+		Detections: detections,
+	}, nil
+}

backend/go/sam3-cpp/gosam3.h

@@ -0,0 +1,51 @@
+#ifndef GOSAM3_H
+#define GOSAM3_H
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+// Load model from file. Returns 0 on success, non-zero on failure.
+int sam3_cpp_load_model(const char *model_path, int threads);
+
+// Encode an image from file path. Must be called before segmentation.
+// Returns 0 on success.
+int sam3_cpp_encode_image(const char *image_path);
+
+// Segment with point/box prompts (PVS mode).
+// points: flat array of [x, y, label] triples (label: 1=positive, 0=negative)
+// boxes: flat array of [x1, y1, x2, y2] quads
+// Returns number of detections, or -1 on error.
+int sam3_cpp_segment_pvs(float *points, int n_point_triples,
+                         float *boxes, int n_box_quads,
+                         float threshold);
+
+// Segment with text prompt (PCS mode, SAM 3 only).
+// Returns number of detections, or -1 on error.
+int sam3_cpp_segment_pcs(const char *text_prompt, float threshold);
+
+// Access detection results (valid after a segment call).
+int sam3_cpp_get_n_detections(void);
+
+// Get bounding box for detection i (as x, y, width, height).
+float sam3_cpp_get_detection_x(int i);
+float sam3_cpp_get_detection_y(int i);
+float sam3_cpp_get_detection_w(int i);
+float sam3_cpp_get_detection_h(int i);
+
+// Get confidence score for detection i.
+float sam3_cpp_get_detection_score(int i);
+
+// Get mask as PNG-encoded bytes.
+// If buf is NULL, returns the required buffer size.
+// Otherwise writes up to buf_size bytes and returns bytes written.
+int sam3_cpp_get_detection_mask_png(int i, unsigned char *buf, int buf_size);
+
+// Free current detection results.
+void sam3_cpp_free_results(void);
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif // GOSAM3_H

backend/go/sam3-cpp/main.go

@@ -0,0 +1,56 @@
+package main
+
+import (
+	"flag"
+	"os"
+
+	"github.com/ebitengine/purego"
+	grpc "github.com/mudler/LocalAI/pkg/grpc"
+)
+
+var (
+	addr = flag.String("addr", "localhost:50051", "the address to connect to")
+)
+
+type LibFuncs struct {
+	FuncPtr any
+	Name    string
+}
+
+func main() {
+	// Get library name from environment variable, default to fallback
+	libName := os.Getenv("SAM3_LIBRARY")
+	if libName == "" {
+		libName = "./libgosam3-fallback.so"
+	}
+
+	gosamLib, err := purego.Dlopen(libName, purego.RTLD_NOW|purego.RTLD_GLOBAL)
+	if err != nil {
+		panic(err)
+	}
+
+	libFuncs := []LibFuncs{
+		{&CppLoadModel, "sam3_cpp_load_model"},
+		{&CppEncodeImage, "sam3_cpp_encode_image"},
+		{&CppSegmentPVS, "sam3_cpp_segment_pvs"},
+		{&CppSegmentPCS, "sam3_cpp_segment_pcs"},
+		{&CppGetNDetections, "sam3_cpp_get_n_detections"},
+		{&CppGetDetectionX, "sam3_cpp_get_detection_x"},
+		{&CppGetDetectionY, "sam3_cpp_get_detection_y"},
+		{&CppGetDetectionW, "sam3_cpp_get_detection_w"},
+		{&CppGetDetectionH, "sam3_cpp_get_detection_h"},
+		{&CppGetDetectionScore, "sam3_cpp_get_detection_score"},
+		{&CppGetDetectionMaskPNG, "sam3_cpp_get_detection_mask_png"},
+		{&CppFreeResults, "sam3_cpp_free_results"},
+	}
+
+	for _, lf := range libFuncs {
+		purego.RegisterLibFunc(lf.FuncPtr, gosamLib, lf.Name)
+	}
+
+	flag.Parse()
+
+	if err := grpc.StartServer(*addr, &SAM3{}); err != nil {
+		panic(err)
+	}
+}

backend/go/sam3-cpp/package.sh

@@ -0,0 +1,59 @@
+#!/bin/bash
+
+# Script to copy the appropriate libraries based on architecture
+
+set -e
+
+CURDIR=$(dirname "$(realpath $0)")
+REPO_ROOT="${CURDIR}/../../.."
+
+# Create lib directory
+mkdir -p $CURDIR/package/lib
+
+cp -avf $CURDIR/libgosam3-*.so $CURDIR/package/
+cp -avf $CURDIR/sam3-cpp $CURDIR/package/
+cp -fv $CURDIR/run.sh $CURDIR/package/
+
+# Detect architecture and copy appropriate libraries
+if [ -f "/lib64/ld-linux-x86-64.so.2" ]; then
+    # x86_64 architecture
+    echo "Detected x86_64 architecture, copying x86_64 libraries..."
+    cp -arfLv /lib64/ld-linux-x86-64.so.2 $CURDIR/package/lib/ld.so
+    cp -arfLv /lib/x86_64-linux-gnu/libc.so.6 $CURDIR/package/lib/libc.so.6
+    cp -arfLv /lib/x86_64-linux-gnu/libgcc_s.so.1 $CURDIR/package/lib/libgcc_s.so.1
+    cp -arfLv /lib/x86_64-linux-gnu/libstdc++.so.6 $CURDIR/package/lib/libstdc++.so.6
+    cp -arfLv /lib/x86_64-linux-gnu/libm.so.6 $CURDIR/package/lib/libm.so.6
+    cp -arfLv /lib/x86_64-linux-gnu/libgomp.so.1 $CURDIR/package/lib/libgomp.so.1
+    cp -arfLv /lib/x86_64-linux-gnu/libdl.so.2 $CURDIR/package/lib/libdl.so.2
+    cp -arfLv /lib/x86_64-linux-gnu/librt.so.1 $CURDIR/package/lib/librt.so.1
+    cp -arfLv /lib/x86_64-linux-gnu/libpthread.so.0 $CURDIR/package/lib/libpthread.so.0
+elif [ -f "/lib/ld-linux-aarch64.so.1" ]; then
+    # ARM64 architecture
+    echo "Detected ARM64 architecture, copying ARM64 libraries..."
+    cp -arfLv /lib/ld-linux-aarch64.so.1 $CURDIR/package/lib/ld.so
+    cp -arfLv /lib/aarch64-linux-gnu/libc.so.6 $CURDIR/package/lib/libc.so.6
+    cp -arfLv /lib/aarch64-linux-gnu/libgcc_s.so.1 $CURDIR/package/lib/libgcc_s.so.1
+    cp -arfLv /lib/aarch64-linux-gnu/libstdc++.so.6 $CURDIR/package/lib/libstdc++.so.6
+    cp -arfLv /lib/aarch64-linux-gnu/libm.so.6 $CURDIR/package/lib/libm.so.6
+    cp -arfLv /lib/aarch64-linux-gnu/libgomp.so.1 $CURDIR/package/lib/libgomp.so.1
+    cp -arfLv /lib/aarch64-linux-gnu/libdl.so.2 $CURDIR/package/lib/libdl.so.2
+    cp -arfLv /lib/aarch64-linux-gnu/librt.so.1 $CURDIR/package/lib/librt.so.1
+    cp -arfLv /lib/aarch64-linux-gnu/libpthread.so.0 $CURDIR/package/lib/libpthread.so.0
+elif [ $(uname -s) = "Darwin" ]; then
+    echo "Detected Darwin"
+else
+    echo "Error: Could not detect architecture"
+    exit 1
+fi
+
+# Package GPU libraries based on BUILD_TYPE
+GPU_LIB_SCRIPT="${REPO_ROOT}/scripts/build/package-gpu-libs.sh"
+if [ -f "$GPU_LIB_SCRIPT" ]; then
+    echo "Packaging GPU libraries for BUILD_TYPE=${BUILD_TYPE:-cpu}..."
+    source "$GPU_LIB_SCRIPT" "$CURDIR/package/lib"
+    package_gpu_libs
+fi
+
+echo "Packaging completed successfully"
+ls -liah $CURDIR/package/
+ls -liah $CURDIR/package/lib/

backend/go/sam3-cpp/run.sh

@@ -0,0 +1,52 @@
+#!/bin/bash
+set -ex
+
+# Get the absolute current dir where the script is located
+CURDIR=$(dirname "$(realpath $0)")
+
+cd /
+
+echo "CPU info:"
+if [ "$(uname)" != "Darwin" ]; then
+	grep -e "model\sname" /proc/cpuinfo | head -1
+	grep -e "flags" /proc/cpuinfo | head -1
+fi
+
+LIBRARY="$CURDIR/libgosam3-fallback.so"
+
+if [ "$(uname)" != "Darwin" ]; then
+	if grep -q -e "\savx\s" /proc/cpuinfo ; then
+		echo "CPU:    AVX    found OK"
+		if [ -e $CURDIR/libgosam3-avx.so ]; then
+			LIBRARY="$CURDIR/libgosam3-avx.so"
+		fi
+	fi
+
+	if grep -q -e "\savx2\s" /proc/cpuinfo ; then
+		echo "CPU:    AVX2   found OK"
+		if [ -e $CURDIR/libgosam3-avx2.so ]; then
+			LIBRARY="$CURDIR/libgosam3-avx2.so"
+		fi
+	fi
+
+	# Check avx 512
+	if grep -q -e "\savx512f\s" /proc/cpuinfo ; then
+		echo "CPU:    AVX512F found OK"
+		if [ -e $CURDIR/libgosam3-avx512.so ]; then
+			LIBRARY="$CURDIR/libgosam3-avx512.so"
+		fi
+	fi
+fi
+
+export LD_LIBRARY_PATH=$CURDIR/lib:$LD_LIBRARY_PATH
+export SAM3_LIBRARY=$LIBRARY
+
+# If there is a lib/ld.so, use it
+if [ -f $CURDIR/lib/ld.so ]; then
+	echo "Using lib/ld.so"
+	echo "Using library: $LIBRARY"
+	exec $CURDIR/lib/ld.so $CURDIR/sam3-cpp "$@"
+fi
+
+echo "Using library: $LIBRARY"
+exec $CURDIR/sam3-cpp "$@"

backend/go/sam3-cpp/test.sh

@@ -0,0 +1,50 @@
+#!/bin/bash
+set -e
+
+CURDIR=$(dirname "$(realpath $0)")
+
+echo "Running sam3-cpp backend tests..."
+
+# The test requires a SAM model in GGML format.
+# Uses EdgeTAM Q4_0 (~15MB) for fast CI testing.
+SAM3_MODEL_DIR="${SAM3_MODEL_DIR:-$CURDIR/test-models}"
+SAM3_MODEL_FILE="${SAM3_MODEL_FILE:-edgetam_q4_0.ggml}"
+SAM3_MODEL_URL="${SAM3_MODEL_URL:-https://huggingface.co/PABannier/sam3.cpp/resolve/main/edgetam_q4_0.ggml}"
+
+# Download model if not present
+if [ ! -f "$SAM3_MODEL_DIR/$SAM3_MODEL_FILE" ]; then
+    echo "Downloading EdgeTAM Q4_0 model for testing..."
+    mkdir -p "$SAM3_MODEL_DIR"
+    curl -L -o "$SAM3_MODEL_DIR/$SAM3_MODEL_FILE" "$SAM3_MODEL_URL" --progress-bar
+    echo "Model downloaded."
+fi
+
+# Create a test image (4x4 red pixel PNG) using base64
+# This is a minimal valid PNG for testing the pipeline
+TEST_IMAGE_DIR="$CURDIR/test-data"
+mkdir -p "$TEST_IMAGE_DIR"
+
+# Generate a simple test image using Python if available, otherwise use a pre-encoded one
+if command -v python3 &> /dev/null; then
+    python3 -c "
+import struct, zlib, base64
+def create_png(width, height, r, g, b):
+    raw = b''
+    for y in range(height):
+        raw += b'\x00'  # filter byte
+        for x in range(width):
+            raw += bytes([r, g, b])
+    def chunk(ctype, data):
+        c = ctype + data
+        return struct.pack('>I', len(data)) + c + struct.pack('>I', zlib.crc32(c) & 0xffffffff)
+    ihdr = struct.pack('>IIBBBBB', width, height, 8, 2, 0, 0, 0)
+    return b'\x89PNG\r\n\x1a\n' + chunk(b'IHDR', ihdr) + chunk(b'IDAT', zlib.compress(raw)) + chunk(b'IEND', b'')
+with open('$TEST_IMAGE_DIR/test.png', 'wb') as f:
+    f.write(create_png(64, 64, 255, 0, 0))
+"
+    echo "Test image created."
+fi
+
+echo "sam3-cpp test setup complete."
+echo "Model: $SAM3_MODEL_DIR/$SAM3_MODEL_FILE"
+echo "Note: Full integration tests run via the LocalAI test-extra target."

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?=87ecb95cbc65dc8e58e3d88f4f4a59a0939796f5
+STABLEDIFFUSION_GGML_VERSION?=e8323cabb0e4511ba18a50b1cb34cf1f87fc71ef
 
 CMAKE_ARGS+=-DGGML_MAX_NAME=128
 

backend/index.yaml

@@ -125,6 +125,31 @@
     nvidia-cuda-13: "cuda13-rfdetr"
     nvidia-cuda-12: "cuda12-rfdetr"
     nvidia-l4t-cuda-12: "nvidia-l4t-arm64-rfdetr"
+- &sam3cpp
+  name: "sam3-cpp"
+  alias: "sam3-cpp"
+  license: mit
+  description: |
+    Segment Anything Model (SAM 3/2/EdgeTAM) in C/C++ using GGML.
+    Supports text-prompted and point/box-prompted image segmentation.
+  urls:
+    - https://github.com/PABannier/sam3.cpp
+  tags:
+    - image-segmentation
+    - object-detection
+    - sam3
+    - gpu
+    - cpu
+  capabilities:
+    default: "cpu-sam3-cpp"
+    nvidia: "cuda12-sam3-cpp"
+    nvidia-cuda-12: "cuda12-sam3-cpp"
+    nvidia-cuda-13: "cuda13-sam3-cpp"
+    nvidia-l4t: "nvidia-l4t-arm64-sam3-cpp"
+    nvidia-l4t-cuda-12: "nvidia-l4t-arm64-sam3-cpp"
+    nvidia-l4t-cuda-13: "cuda13-nvidia-l4t-arm64-sam3-cpp"
+    intel: "intel-sycl-f32-sam3-cpp"
+    vulkan: "vulkan-sam3-cpp"
 - &vllm
   name: "vllm"
   license: apache-2.0
@@ -400,12 +425,15 @@
   license: MIT
   name: "faster-whisper"
   capabilities:
+    default: "cpu-faster-whisper"
     nvidia: "cuda12-faster-whisper"
     intel: "intel-faster-whisper"
     amd: "rocm-faster-whisper"
     metal: "metal-faster-whisper"
     nvidia-cuda-13: "cuda13-faster-whisper"
     nvidia-cuda-12: "cuda12-faster-whisper"
+    nvidia-l4t: "nvidia-l4t-arm64-faster-whisper"
+    nvidia-l4t-cuda-12: "nvidia-l4t-arm64-faster-whisper"
 - &moonshine
   description: |
     Moonshine is a fast, accurate, and efficient speech-to-text transcription model using ONNX Runtime.
@@ -438,6 +466,7 @@
     - whisperx
   license: BSD-4-Clause
   name: "whisperx"
+  alias: "whisperx"
   capabilities:
     nvidia: "cuda12-whisperx"
     amd: "rocm-whisperx"
@@ -445,6 +474,8 @@
     default: "cpu-whisperx"
     nvidia-cuda-13: "cuda13-whisperx"
     nvidia-cuda-12: "cuda12-whisperx"
+    nvidia-l4t: "nvidia-l4t-arm64-whisperx"
+    nvidia-l4t-cuda-12: "nvidia-l4t-arm64-whisperx"
 - &kokoro
   icon: https://avatars.githubusercontent.com/u/166769057?v=4
   description: |
@@ -468,6 +499,26 @@
     nvidia-cuda-13: "cuda13-kokoro"
     nvidia-cuda-12: "cuda12-kokoro"
     nvidia-l4t-cuda-12: "nvidia-l4t-arm64-kokoro"
+- &kokoros
+  icon: https://avatars.githubusercontent.com/u/166769057?v=4
+  description: |
+    Kokoros is a pure Rust TTS backend using the Kokoro ONNX model (82M parameters).
+    It provides fast, high-quality text-to-speech with streaming support, built on
+    ONNX Runtime for efficient CPU inference. Supports English, Japanese, Mandarin
+    Chinese, and German.
+  urls:
+    - https://huggingface.co/hexgrad/Kokoro-82M
+    - https://github.com/lucasjinreal/Kokoros
+  tags:
+    - text-to-speech
+    - TTS
+    - Rust
+    - ONNX
+  license: apache-2.0
+  alias: "kokoros"
+  name: "kokoros"
+  capabilities:
+    default: "cpu-kokoros"
 - &coqui
   urls:
     - https://github.com/idiap/coqui-ai-TTS
@@ -1602,6 +1653,89 @@
   uri: "quay.io/go-skynet/local-ai-backends:master-metal-darwin-arm64-rfdetr"
   mirrors:
     - localai/localai-backends:master-metal-darwin-arm64-rfdetr
+## sam3-cpp
+- !!merge <<: *sam3cpp
+  name: "sam3-cpp-development"
+  capabilities:
+    default: "cpu-sam3-cpp-development"
+    nvidia: "cuda12-sam3-cpp-development"
+    nvidia-cuda-12: "cuda12-sam3-cpp-development"
+    nvidia-cuda-13: "cuda13-sam3-cpp-development"
+    nvidia-l4t: "nvidia-l4t-arm64-sam3-cpp-development"
+    nvidia-l4t-cuda-12: "nvidia-l4t-arm64-sam3-cpp-development"
+    nvidia-l4t-cuda-13: "cuda13-nvidia-l4t-arm64-sam3-cpp-development"
+    intel: "intel-sycl-f32-sam3-cpp-development"
+    vulkan: "vulkan-sam3-cpp-development"
+- !!merge <<: *sam3cpp
+  name: "cpu-sam3-cpp"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-cpu-sam3-cpp"
+  mirrors:
+    - localai/localai-backends:latest-cpu-sam3-cpp
+- !!merge <<: *sam3cpp
+  name: "cpu-sam3-cpp-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-cpu-sam3-cpp"
+  mirrors:
+    - localai/localai-backends:master-cpu-sam3-cpp
+- !!merge <<: *sam3cpp
+  name: "cuda12-sam3-cpp"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-nvidia-cuda-12-sam3-cpp"
+  mirrors:
+    - localai/localai-backends:latest-gpu-nvidia-cuda-12-sam3-cpp
+- !!merge <<: *sam3cpp
+  name: "cuda12-sam3-cpp-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-cuda-12-sam3-cpp"
+  mirrors:
+    - localai/localai-backends:master-gpu-nvidia-cuda-12-sam3-cpp
+- !!merge <<: *sam3cpp
+  name: "cuda13-sam3-cpp"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-nvidia-cuda-13-sam3-cpp"
+  mirrors:
+    - localai/localai-backends:latest-gpu-nvidia-cuda-13-sam3-cpp
+- !!merge <<: *sam3cpp
+  name: "cuda13-sam3-cpp-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-cuda-13-sam3-cpp"
+  mirrors:
+    - localai/localai-backends:master-gpu-nvidia-cuda-13-sam3-cpp
+- !!merge <<: *sam3cpp
+  name: "nvidia-l4t-arm64-sam3-cpp"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-nvidia-l4t-arm64-sam3-cpp"
+  mirrors:
+    - localai/localai-backends:latest-nvidia-l4t-arm64-sam3-cpp
+- !!merge <<: *sam3cpp
+  name: "nvidia-l4t-arm64-sam3-cpp-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-nvidia-l4t-arm64-sam3-cpp"
+  mirrors:
+    - localai/localai-backends:master-nvidia-l4t-arm64-sam3-cpp
+- !!merge <<: *sam3cpp
+  name: "cuda13-nvidia-l4t-arm64-sam3-cpp"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-nvidia-l4t-cuda-13-arm64-sam3-cpp"
+  mirrors:
+    - localai/localai-backends:latest-nvidia-l4t-cuda-13-arm64-sam3-cpp
+- !!merge <<: *sam3cpp
+  name: "cuda13-nvidia-l4t-arm64-sam3-cpp-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-nvidia-l4t-cuda-13-arm64-sam3-cpp"
+  mirrors:
+    - localai/localai-backends:master-nvidia-l4t-cuda-13-arm64-sam3-cpp
+- !!merge <<: *sam3cpp
+  name: "intel-sycl-f32-sam3-cpp"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-sycl-f32-sam3-cpp"
+  mirrors:
+    - localai/localai-backends:latest-gpu-intel-sycl-f32-sam3-cpp
+- !!merge <<: *sam3cpp
+  name: "intel-sycl-f32-sam3-cpp-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-sycl-f32-sam3-cpp"
+  mirrors:
+    - localai/localai-backends:master-gpu-intel-sycl-f32-sam3-cpp
+- !!merge <<: *sam3cpp
+  name: "vulkan-sam3-cpp"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-vulkan-sam3-cpp"
+  mirrors:
+    - localai/localai-backends:latest-gpu-vulkan-sam3-cpp
+- !!merge <<: *sam3cpp
+  name: "vulkan-sam3-cpp-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-vulkan-sam3-cpp"
+  mirrors:
+    - localai/localai-backends:master-gpu-vulkan-sam3-cpp
 ## Rerankers
 - !!merge <<: *rerankers
   name: "rerankers-development"
@@ -2042,15 +2176,32 @@
   uri: "quay.io/go-skynet/local-ai-backends:master-metal-darwin-arm64-kokoro"
   mirrors:
     - localai/localai-backends:master-metal-darwin-arm64-kokoro
+## kokoros (Rust)
+- !!merge <<: *kokoros
+  name: "kokoros-development"
+  capabilities:
+    default: "cpu-kokoros-development"
+- !!merge <<: *kokoros
+  name: "cpu-kokoros"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-cpu-kokoros"
+  mirrors:
+    - localai/localai-backends:latest-cpu-kokoros
+- !!merge <<: *kokoros
+  name: "cpu-kokoros-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-cpu-kokoros"
+  mirrors:
+    - localai/localai-backends:master-cpu-kokoros
 ## faster-whisper
 - !!merge <<: *faster-whisper
   name: "faster-whisper-development"
   capabilities:
+    default: "cpu-faster-whisper-development"
     nvidia: "cuda12-faster-whisper-development"
     intel: "intel-faster-whisper-development"
     amd: "rocm-faster-whisper-development"
     metal: "metal-faster-whisper-development"
     nvidia-cuda-13: "cuda13-faster-whisper-development"
+    nvidia-l4t: "nvidia-l4t-arm64-faster-whisper-development"
 - !!merge <<: *faster-whisper
   name: "cuda12-faster-whisper-development"
   uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-cuda-12-faster-whisper"
@@ -2091,6 +2242,36 @@
   uri: "quay.io/go-skynet/local-ai-backends:master-metal-darwin-arm64-faster-whisper"
   mirrors:
     - localai/localai-backends:master-metal-darwin-arm64-faster-whisper
+- !!merge <<: *faster-whisper
+  name: "cuda12-faster-whisper"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-nvidia-cuda-12-faster-whisper"
+  mirrors:
+    - localai/localai-backends:latest-gpu-nvidia-cuda-12-faster-whisper
+- !!merge <<: *faster-whisper
+  name: "rocm-faster-whisper"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-rocm-hipblas-faster-whisper"
+  mirrors:
+    - localai/localai-backends:latest-gpu-rocm-hipblas-faster-whisper
+- !!merge <<: *faster-whisper
+  name: "cpu-faster-whisper"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-cpu-faster-whisper"
+  mirrors:
+    - localai/localai-backends:latest-cpu-faster-whisper
+- !!merge <<: *faster-whisper
+  name: "cpu-faster-whisper-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-cpu-faster-whisper"
+  mirrors:
+    - localai/localai-backends:master-cpu-faster-whisper
+- !!merge <<: *faster-whisper
+  name: "nvidia-l4t-arm64-faster-whisper"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-nvidia-l4t-faster-whisper"
+  mirrors:
+    - localai/localai-backends:latest-nvidia-l4t-faster-whisper
+- !!merge <<: *faster-whisper
+  name: "nvidia-l4t-arm64-faster-whisper-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-nvidia-l4t-faster-whisper"
+  mirrors:
+    - localai/localai-backends:master-nvidia-l4t-faster-whisper
 ## moonshine
 - !!merge <<: *moonshine
   name: "moonshine-development"
@@ -2149,6 +2330,7 @@
     default: "cpu-whisperx-development"
     nvidia-cuda-13: "cuda13-whisperx-development"
     nvidia-cuda-12: "cuda12-whisperx-development"
+    nvidia-l4t: "nvidia-l4t-arm64-whisperx-development"
 - !!merge <<: *whisperx
   name: "cpu-whisperx"
   uri: "quay.io/go-skynet/local-ai-backends:latest-cpu-whisperx"
@@ -2199,6 +2381,16 @@
   uri: "quay.io/go-skynet/local-ai-backends:master-metal-darwin-arm64-whisperx"
   mirrors:
     - localai/localai-backends:master-metal-darwin-arm64-whisperx
+- !!merge <<: *whisperx
+  name: "nvidia-l4t-arm64-whisperx"
+  uri: "quay.io/go-skynet/local-ai-backends:latest-nvidia-l4t-whisperx"
+  mirrors:
+    - localai/localai-backends:latest-nvidia-l4t-whisperx
+- !!merge <<: *whisperx
+  name: "nvidia-l4t-arm64-whisperx-development"
+  uri: "quay.io/go-skynet/local-ai-backends:master-nvidia-l4t-whisperx"
+  mirrors:
+    - localai/localai-backends:master-nvidia-l4t-whisperx
 ## coqui
 
 - !!merge <<: *coqui

backend/python/faster-whisper/install.sh

@@ -16,4 +16,14 @@ if [ "x${BUILD_PROFILE}" == "xintel" ]; then
     EXTRA_PIP_INSTALL_FLAGS+=" --upgrade --index-strategy=unsafe-first-match"
 fi
 
+if [ "x${BUILD_PROFILE}" == "xl4t13" ]; then
+  PYTHON_VERSION="3.12"
+  PYTHON_PATCH="12"
+  PY_STANDALONE_TAG="20251120"
+fi
+
+if [ "x${BUILD_PROFILE}" == "xl4t12" ]; then
+    USE_PIP=true
+fi
+
 installRequirements

backend/python/faster-whisper/requirements-l4t12.txt

@@ -0,0 +1,3 @@
+--extra-index-url https://pypi.jetson-ai-lab.io/jp6/cu129/
+torch
+faster-whisper

backend/python/faster-whisper/requirements-l4t13.txt

@@ -0,0 +1,3 @@
+--extra-index-url https://download.pytorch.org/whl/cu130
+torch
+faster-whisper

backend/python/qwen-asr/backend.py

@@ -147,7 +147,11 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
             if request.language and request.language.strip():
                 language = request.language.strip()
 
-            results = self.model.transcribe(audio=audio_path, language=language)
+            context = ""
+            if request.prompt and request.prompt.strip():
+                context = request.prompt.strip()
+
+            results = self.model.transcribe(audio=audio_path, language=language, context=context)
 
             if not results:
                 return backend_pb2.TranscriptResult(segments=[], text="")

backend/python/whisperx/install.sh

@@ -8,8 +8,21 @@ else
     source $backend_dir/../common/libbackend.sh
 fi
 
-if [ "x${BUILD_PROFILE}" != "xmetal" ] && [ "x${BUILD_PROFILE}" != "xmps" ]; then
+if [ "x${BUILD_PROFILE}" == "xl4t13" ]; then
-    EXTRA_PIP_INSTALL_FLAGS+=" --index-strategy unsafe-best-match"
+  PYTHON_VERSION="3.12"
+  PYTHON_PATCH="12"
+  PY_STANDALONE_TAG="20251120"
+fi
+
+if [ "x${BUILD_PROFILE}" == "xl4t12" ]; then
+    USE_PIP=true
+fi
+
+# --index-strategy is a uv-only flag; skip it when using pip
+if [ "x${USE_PIP}" != "xtrue" ]; then
+    if [ "x${BUILD_PROFILE}" != "xmetal" ] && [ "x${BUILD_PROFILE}" != "xmps" ]; then
+        EXTRA_PIP_INSTALL_FLAGS+=" --index-strategy unsafe-best-match"
+    fi
 fi
 
 installRequirements

backend/python/whisperx/requirements-l4t12.txt

@@ -0,0 +1,3 @@
+--extra-index-url https://pypi.jetson-ai-lab.io/jp6/cu129/
+torch
+whisperx @ git+https://github.com/m-bain/whisperX.git

backend/python/whisperx/requirements-l4t13.txt

@@ -0,0 +1,3 @@
+--extra-index-url https://download.pytorch.org/whl/cu130
+torch
+whisperx @ git+https://github.com/m-bain/whisperX.git

backend/rust/kokoros/.gitignore

@@ -0,0 +1,3 @@
+/target/
+/proto/
+/package/

backend/rust/kokoros/Cargo.toml

@@ -0,0 +1,26 @@
+[package]
+name = "kokoros-grpc"
+version = "0.1.0"
+edition = "2021"
+
+[[bin]]
+name = "kokoros-grpc"
+path = "src/main.rs"
+
+[dependencies]
+kokoros = { path = "sources/Kokoros/kokoros" }
+
+tonic = "0.13"
+prost = "0.13"
+tokio = { version = "1", features = ["full"] }
+tokio-stream = "0.1"
+clap = { version = "4", features = ["derive"] }
+tracing = "0.1"
+tracing-subscriber = { version = "0.3", features = ["env-filter"] }
+
+[build-dependencies]
+tonic-build = "0.13"
+
+[features]
+default = ["cpu"]
+cpu = ["kokoros/cpu"]

backend/rust/kokoros/Makefile

@@ -0,0 +1,25 @@
+CURRENT_DIR=$(abspath ./)
+
+.PHONY: kokoros-grpc
+kokoros-grpc:
+	mkdir -p $(CURRENT_DIR)/proto
+	cp $(CURRENT_DIR)/../../backend.proto $(CURRENT_DIR)/proto/backend.proto
+	cd $(CURRENT_DIR) && \
+		BACKEND_PROTO_PATH=$(CURRENT_DIR)/proto/backend.proto \
+		cargo build --release
+
+.PHONY: package
+package:
+	bash package.sh
+
+.PHONY: test
+test: kokoros-grpc
+	cd $(CURRENT_DIR) && cargo test
+
+.PHONY: build
+build: kokoros-grpc package
+
+.PHONY: clean
+clean:
+	cargo clean
+	rm -rf package proto

backend/rust/kokoros/build.rs

@@ -0,0 +1,15 @@
+fn main() -> Result<(), Box<dyn std::error::Error>> {
+    let proto_path = std::env::var("BACKEND_PROTO_PATH")
+        .unwrap_or_else(|_| "proto/backend.proto".to_string());
+
+    let proto_dir = std::path::Path::new(&proto_path)
+        .parent()
+        .unwrap_or(std::path::Path::new("."));
+
+    tonic_build::configure()
+        .build_server(true)
+        .build_client(false)
+        .compile_protos(&[&proto_path], &[proto_dir])?;
+
+    Ok(())
+}

backend/rust/kokoros/package.sh

@@ -0,0 +1,42 @@
+#!/bin/bash
+set -e
+
+CURDIR=$(dirname "$(realpath $0)")
+mkdir -p $CURDIR/package/lib
+
+# Copy the binary and run script
+cp -avf $CURDIR/target/release/kokoros-grpc $CURDIR/package/
+cp -rfv $CURDIR/run.sh $CURDIR/package/
+chmod +x $CURDIR/package/run.sh
+
+# Copy espeak-ng data
+if [ -d "/usr/share/espeak-ng-data" ]; then
+    cp -rf /usr/share/espeak-ng-data $CURDIR/package/
+elif [ -d "/usr/lib/x86_64-linux-gnu/espeak-ng-data" ]; then
+    cp -rf /usr/lib/x86_64-linux-gnu/espeak-ng-data $CURDIR/package/
+fi
+
+# Bundle all dynamic library dependencies
+echo "Bundling dynamic library dependencies..."
+ldd $CURDIR/target/release/kokoros-grpc | grep "=>" | awk '{print $3}' | while read lib; do
+    if [ -n "$lib" ] && [ -f "$lib" ]; then
+        cp -avfL "$lib" $CURDIR/package/lib/
+    fi
+done
+
+# Copy CA certificates for HTTPS (needed for model auto-download)
+if [ -d "/etc/ssl/certs" ]; then
+    mkdir -p $CURDIR/package/etc/ssl
+    cp -rf /etc/ssl/certs $CURDIR/package/etc/ssl/
+fi
+
+# Copy the dynamic linker
+if [ -f "/lib64/ld-linux-x86-64.so.2" ]; then
+    cp -arfLv /lib64/ld-linux-x86-64.so.2 $CURDIR/package/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
+fi
+
+echo "Packaging completed successfully"
+ls -liah $CURDIR/package/
+ls -liah $CURDIR/package/lib/

backend/rust/kokoros/run.sh

@@ -0,0 +1,23 @@
+#!/bin/bash
+set -ex
+
+CURDIR=$(dirname "$(realpath $0)")
+
+export LD_LIBRARY_PATH=$CURDIR/lib:${LD_LIBRARY_PATH:-}
+
+# SSL certificates for model auto-download
+if [ -d "$CURDIR/etc/ssl/certs" ]; then
+    export SSL_CERT_DIR=$CURDIR/etc/ssl/certs
+fi
+
+# espeak-ng data directory
+if [ -d "$CURDIR/espeak-ng-data" ]; then
+    export ESPEAK_NG_DATA=$CURDIR/espeak-ng-data
+fi
+
+# Use bundled ld.so if present (portability)
+if [ -f $CURDIR/lib/ld.so ]; then
+    exec $CURDIR/lib/ld.so $CURDIR/kokoros-grpc "$@"
+fi
+
+exec $CURDIR/kokoros-grpc "$@"

backend/rust/kokoros/src/auth.rs

@@ -0,0 +1,26 @@
+use tonic::{Request, Status};
+
+/// Returns an interceptor function if LOCALAI_GRPC_AUTH_TOKEN is set.
+pub fn make_auth_interceptor(
+) -> Option<impl Fn(Request<()>) -> Result<Request<()>, Status> + Clone> {
+    let token = std::env::var("LOCALAI_GRPC_AUTH_TOKEN").ok()?;
+    if token.is_empty() {
+        return None;
+    }
+    let expected = format!("Bearer {}", token);
+    Some(
+        move |req: Request<()>| -> Result<Request<()>, Status> {
+            let meta = req.metadata();
+            match meta.get("authorization") {
+                Some(val) => {
+                    if val.as_bytes() == expected.as_bytes() {
+                        Ok(req)
+                    } else {
+                        Err(Status::unauthenticated("invalid token"))
+                    }
+                }
+                None => Err(Status::unauthenticated("missing authorization")),
+            }
+        },
+    )
+}

backend/rust/kokoros/src/main.rs

@@ -0,0 +1,53 @@
+use clap::Parser;
+use tonic::transport::Server;
+
+mod auth;
+mod service;
+
+pub mod backend {
+    tonic::include_proto!("backend");
+}
+
+#[derive(Parser, Debug)]
+#[command(name = "kokoros-grpc")]
+struct Cli {
+    /// gRPC listen address (host:port)
+    #[arg(long, default_value = "localhost:50051")]
+    addr: String,
+}
+
+#[tokio::main]
+async fn main() -> Result<(), Box<dyn std::error::Error>> {
+    tracing_subscriber::fmt()
+        .with_writer(std::io::stderr)
+        .with_ansi(false)
+        .without_time()
+        .with_env_filter(
+            tracing_subscriber::EnvFilter::try_from_default_env()
+                .unwrap_or_else(|_| tracing_subscriber::EnvFilter::new("info")),
+        )
+        .init();
+
+    let cli = Cli::parse();
+    let addr = cli.addr.parse()?;
+
+    tracing::info!("Starting kokoros gRPC server on {}", addr);
+
+    let mut builder = Server::builder();
+
+    if let Some(interceptor) = auth::make_auth_interceptor() {
+        tracing::info!("Bearer token authentication enabled");
+        let svc = backend::backend_server::BackendServer::with_interceptor(
+            service::KokorosService::default(),
+            interceptor,
+        );
+        builder.add_service(svc).serve(addr).await?;
+    } else {
+        let svc = backend::backend_server::BackendServer::new(service::KokorosService::default())
+            .max_decoding_message_size(50 * 1024 * 1024)
+            .max_encoding_message_size(50 * 1024 * 1024);
+        builder.add_service(svc).serve(addr).await?;
+    }
+
+    Ok(())
+}

backend/rust/kokoros/src/service.rs

@@ -0,0 +1,652 @@
+use std::sync::{Arc, Mutex};
+use tokio::sync::Mutex as TokioMutex;
+use tokio_stream::wrappers::ReceiverStream;
+use tonic::{Request, Response, Status};
+
+use kokoros::tts::koko::TTSKoko;
+
+use crate::backend;
+use crate::backend::backend_server::Backend;
+
+/// Write f32 samples as a standard 44-byte PCM 16-bit WAV file.
+/// LocalAI's audio pipeline assumes this exact header layout.
+fn write_pcm16_wav(
+    path: &str,
+    samples: &[f32],
+    sample_rate: u32,
+) -> Result<(), Box<dyn std::error::Error>> {
+    use std::fs::File;
+    use std::io::Write;
+
+    let num_samples = samples.len() as u32;
+    let data_size = num_samples * 2; // 16-bit = 2 bytes per sample
+    let file_size = 36 + data_size;
+
+    let mut f = File::create(path)?;
+
+    // RIFF header
+    f.write_all(b"RIFF")?;
+    f.write_all(&file_size.to_le_bytes())?;
+    f.write_all(b"WAVE")?;
+
+    // fmt chunk — standard 16-byte PCM format
+    f.write_all(b"fmt ")?;
+    f.write_all(&16u32.to_le_bytes())?; // chunk size
+    f.write_all(&1u16.to_le_bytes())?; // audio format = PCM
+    f.write_all(&1u16.to_le_bytes())?; // channels = mono
+    f.write_all(&sample_rate.to_le_bytes())?;
+    f.write_all(&(sample_rate * 2).to_le_bytes())?; // byte rate
+    f.write_all(&2u16.to_le_bytes())?; // block align
+    f.write_all(&16u16.to_le_bytes())?; // bits per sample
+
+    // data chunk
+    f.write_all(b"data")?;
+    f.write_all(&data_size.to_le_bytes())?;
+
+    for &s in samples {
+        let clamped = s.clamp(-1.0, 1.0);
+        let pcm = (clamped * 32767.0) as i16;
+        f.write_all(&pcm.to_le_bytes())?;
+    }
+
+    Ok(())
+}
+
+pub struct KokorosService {
+    tts: Arc<TokioMutex<Option<TTSKoko>>>,
+    language: Arc<Mutex<String>>,
+    speed: Arc<Mutex<f32>>,
+}
+
+impl Default for KokorosService {
+    fn default() -> Self {
+        Self {
+            tts: Arc::new(TokioMutex::new(None)),
+            language: Arc::new(Mutex::new("en-us".to_string())),
+            speed: Arc::new(Mutex::new(1.0)),
+        }
+    }
+}
+
+#[tonic::async_trait]
+impl Backend for KokorosService {
+    async fn health(
+        &self,
+        _req: Request<backend::HealthMessage>,
+    ) -> Result<Response<backend::Reply>, Status> {
+        Ok(Response::new(backend::Reply {
+            message: b"OK".to_vec(),
+            ..Default::default()
+        }))
+    }
+
+    async fn load_model(
+        &self,
+        req: Request<backend::ModelOptions>,
+    ) -> Result<Response<backend::Result>, Status> {
+        let opts = req.into_inner();
+
+        // Model path: join ModelPath + Model, or just Model
+        let model_path = if !opts.model_path.is_empty() && !opts.model.is_empty() {
+            format!("{}/{}", opts.model_path, opts.model)
+        } else if !opts.model.is_empty() {
+            opts.model.clone()
+        } else {
+            "checkpoints/kokoro-v1.0.onnx".to_string()
+        };
+
+        // Voices data path from AudioPath, or derive from model dir
+        let voices_path = if !opts.audio_path.is_empty() {
+            opts.audio_path.clone()
+        } else {
+            let model_dir = std::path::Path::new(&model_path)
+                .parent()
+                .map(|p| p.to_string_lossy().to_string())
+                .unwrap_or_else(|| ".".to_string());
+            format!("{}/voices-v1.0.bin", model_dir)
+        };
+
+        // Parse options (key:value pairs)
+        for opt in &opts.options {
+            if let Some((key, value)) = opt.split_once(':') {
+                match key {
+                    "lang_code" => *self.language.lock().unwrap() = value.to_string(),
+                    "speed" => {
+                        if let Ok(s) = value.parse::<f32>() {
+                            *self.speed.lock().unwrap() = s;
+                        }
+                    }
+                    _ => {}
+                }
+            }
+        }
+
+        tracing::info!("Loading Kokoros model from: {}", model_path);
+        tracing::info!("Loading voices from: {}", voices_path);
+        tracing::info!("Language: {}", self.language.lock().unwrap());
+
+        let tts = TTSKoko::new(&model_path, &voices_path).await;
+        *self.tts.lock().await = Some(tts);
+
+        tracing::info!("Kokoros TTS model loaded successfully");
+        Ok(Response::new(backend::Result {
+            success: true,
+            message: "Kokoros TTS model loaded".into(),
+        }))
+    }
+
+    async fn tts(
+        &self,
+        req: Request<backend::TtsRequest>,
+    ) -> Result<Response<backend::Result>, Status> {
+        let req = req.into_inner();
+        let tts_guard = self.tts.lock().await;
+        let tts = tts_guard
+            .as_ref()
+            .ok_or_else(|| Status::failed_precondition("Model not loaded"))?;
+
+        let voice = if req.voice.is_empty() {
+            "af_heart"
+        } else {
+            &req.voice
+        };
+        let lang = req
+            .language
+            .filter(|l| !l.is_empty())
+            .unwrap_or_else(|| self.language.lock().unwrap().clone());
+        let speed = *self.speed.lock().unwrap();
+
+        tracing::info!(
+            text = req.text,
+            voice = voice,
+            lang = lang.as_str(),
+            dst = req.dst,
+            "TTS request received"
+        );
+
+        let start = std::time::Instant::now();
+        match tts.tts_raw_audio(&req.text, &lang, voice, speed, None, None, None, None) {
+            Ok(samples) => {
+                let duration_secs = samples.len() as f64 / 24000.0;
+                tracing::info!(
+                    num_samples = samples.len(),
+                    audio_duration = format!("{:.2}s", duration_secs),
+                    inference_time = format!("{:.2}s", start.elapsed().as_secs_f64()),
+                    dst = req.dst,
+                    "TTS inference complete"
+                );
+                if let Err(e) = write_pcm16_wav(&req.dst, &samples, 24000) {
+                    tracing::error!("Failed to write WAV to {}: {}", req.dst, e);
+                    return Ok(Response::new(backend::Result {
+                        success: false,
+                        message: format!("Failed to write WAV: {}", e),
+                    }));
+                }
+                Ok(Response::new(backend::Result {
+                    success: true,
+                    message: String::new(),
+                }))
+            }
+            Err(e) => {
+                tracing::error!("TTS error: {}", e);
+                Ok(Response::new(backend::Result {
+                    success: false,
+                    message: format!("TTS error: {}", e),
+                }))
+            }
+        }
+    }
+
+    type TTSStreamStream = ReceiverStream<Result<backend::Reply, Status>>;
+
+    async fn tts_stream(
+        &self,
+        req: Request<backend::TtsRequest>,
+    ) -> Result<Response<Self::TTSStreamStream>, Status> {
+        let req = req.into_inner();
+        let tts_guard = self.tts.lock().await;
+        let tts = tts_guard
+            .as_ref()
+            .ok_or_else(|| Status::failed_precondition("Model not loaded"))?
+            .clone();
+
+        let voice = if req.voice.is_empty() {
+            "af_heart".to_string()
+        } else {
+            req.voice
+        };
+        let lang = req
+            .language
+            .filter(|l| !l.is_empty())
+            .unwrap_or_else(|| self.language.lock().unwrap().clone());
+        let speed = *self.speed.lock().unwrap();
+        let text = req.text;
+
+        let (tx, rx) = tokio::sync::mpsc::channel(32);
+
+        // Send sample rate info as first message
+        let tx_clone = tx.clone();
+        let _ = tx_clone
+            .send(Ok(backend::Reply {
+                message: br#"{"sample_rate":24000}"#.to_vec(),
+                ..Default::default()
+            }))
+            .await;
+
+        tokio::task::spawn_blocking(move || {
+            let result = tts.tts_raw_audio_streaming(
+                &text,
+                &lang,
+                &voice,
+                speed,
+                None,
+                None,
+                None,
+                None,
+                |audio_chunk: Vec<f32>| -> Result<(), Box<dyn std::error::Error>> {
+                    // Convert f32 PCM to 16-bit PCM bytes (what LocalAI expects for streaming)
+                    let bytes: Vec<u8> = audio_chunk
+                        .iter()
+                        .flat_map(|&s| {
+                            let clamped = s.clamp(-1.0, 1.0);
+                            let i16_val = (clamped * 32767.0) as i16;
+                            i16_val.to_le_bytes()
+                        })
+                        .collect();
+                    tx.blocking_send(Ok(backend::Reply {
+                        audio: bytes,
+                        ..Default::default()
+                    }))
+                    .map_err(|e| Box::new(e) as Box<dyn std::error::Error>)
+                },
+            );
+            if let Err(e) = result {
+                tracing::error!("TTSStream error: {}", e);
+            }
+        });
+
+        Ok(Response::new(ReceiverStream::new(rx)))
+    }
+
+    async fn status(
+        &self,
+        _req: Request<backend::HealthMessage>,
+    ) -> Result<Response<backend::StatusResponse>, Status> {
+        let tts = self.tts.lock().await;
+        let state = if tts.is_some() {
+            backend::status_response::State::Ready as i32
+        } else {
+            backend::status_response::State::Uninitialized as i32
+        };
+        Ok(Response::new(backend::StatusResponse {
+            state,
+            memory: None,
+        }))
+    }
+
+    async fn free(
+        &self,
+        _req: Request<backend::HealthMessage>,
+    ) -> Result<Response<backend::Result>, Status> {
+        *self.tts.lock().await = None;
+        Ok(Response::new(backend::Result {
+            success: true,
+            message: "Model freed".into(),
+        }))
+    }
+
+    // --- Unimplemented RPCs ---
+
+    async fn predict(
+        &self,
+        _: Request<backend::PredictOptions>,
+    ) -> Result<Response<backend::Reply>, Status> {
+        Err(Status::unimplemented("Not supported"))
+    }
+
+    type PredictStreamStream = ReceiverStream<Result<backend::Reply, Status>>;
+
+    async fn predict_stream(
+        &self,
+        _: Request<backend::PredictOptions>,
+    ) -> Result<Response<Self::PredictStreamStream>, Status> {
+        Err(Status::unimplemented("Not supported"))
+    }
+
+    async fn embedding(
+        &self,
+        _: Request<backend::PredictOptions>,
+    ) -> Result<Response<backend::EmbeddingResult>, Status> {
+        Err(Status::unimplemented("Not supported"))
+    }
+
+    async fn generate_image(
+        &self,
+        _: Request<backend::GenerateImageRequest>,
+    ) -> Result<Response<backend::Result>, Status> {
+        Err(Status::unimplemented("Not supported"))
+    }
+
+    async fn generate_video(
+        &self,
+        _: Request<backend::GenerateVideoRequest>,
+    ) -> Result<Response<backend::Result>, Status> {
+        Err(Status::unimplemented("Not supported"))
+    }
+
+    async fn audio_transcription(
+        &self,
+        _: Request<backend::TranscriptRequest>,
+    ) -> Result<Response<backend::TranscriptResult>, Status> {
+        Err(Status::unimplemented("Not supported"))
+    }
+
+    async fn sound_generation(
+        &self,
+        _: Request<backend::SoundGenerationRequest>,
+    ) -> Result<Response<backend::Result>, Status> {
+        Err(Status::unimplemented("Not supported"))
+    }
+
+    async fn tokenize_string(
+        &self,
+        _: Request<backend::PredictOptions>,
+    ) -> Result<Response<backend::TokenizationResponse>, Status> {
+        Err(Status::unimplemented("Not supported"))
+    }
+
+    async fn detect(
+        &self,
+        _: Request<backend::DetectOptions>,
+    ) -> Result<Response<backend::DetectResponse>, Status> {
+        Err(Status::unimplemented("Not supported"))
+    }
+
+    async fn stores_set(
+        &self,
+        _: Request<backend::StoresSetOptions>,
+    ) -> Result<Response<backend::Result>, Status> {
+        Err(Status::unimplemented("Not supported"))
+    }
+
+    async fn stores_delete(
+        &self,
+        _: Request<backend::StoresDeleteOptions>,
+    ) -> Result<Response<backend::Result>, Status> {
+        Err(Status::unimplemented("Not supported"))
+    }
+
+    async fn stores_get(
+        &self,
+        _: Request<backend::StoresGetOptions>,
+    ) -> Result<Response<backend::StoresGetResult>, Status> {
+        Err(Status::unimplemented("Not supported"))
+    }
+
+    async fn stores_find(
+        &self,
+        _: Request<backend::StoresFindOptions>,
+    ) -> Result<Response<backend::StoresFindResult>, Status> {
+        Err(Status::unimplemented("Not supported"))
+    }
+
+    async fn rerank(
+        &self,
+        _: Request<backend::RerankRequest>,
+    ) -> Result<Response<backend::RerankResult>, Status> {
+        Err(Status::unimplemented("Not supported"))
+    }
+
+    async fn get_metrics(
+        &self,
+        _: Request<backend::MetricsRequest>,
+    ) -> Result<Response<backend::MetricsResponse>, Status> {
+        Err(Status::unimplemented("Not supported"))
+    }
+
+    async fn vad(
+        &self,
+        _: Request<backend::VadRequest>,
+    ) -> Result<Response<backend::VadResponse>, Status> {
+        Err(Status::unimplemented("Not supported"))
+    }
+
+    async fn audio_encode(
+        &self,
+        _: Request<backend::AudioEncodeRequest>,
+    ) -> Result<Response<backend::AudioEncodeResult>, Status> {
+        Err(Status::unimplemented("Not supported"))
+    }
+
+    async fn audio_decode(
+        &self,
+        _: Request<backend::AudioDecodeRequest>,
+    ) -> Result<Response<backend::AudioDecodeResult>, Status> {
+        Err(Status::unimplemented("Not supported"))
+    }
+
+    async fn model_metadata(
+        &self,
+        _: Request<backend::ModelOptions>,
+    ) -> Result<Response<backend::ModelMetadataResponse>, Status> {
+        Err(Status::unimplemented("Not supported"))
+    }
+
+    async fn start_fine_tune(
+        &self,
+        _: Request<backend::FineTuneRequest>,
+    ) -> Result<Response<backend::FineTuneJobResult>, Status> {
+        Err(Status::unimplemented("Not supported"))
+    }
+
+    type FineTuneProgressStream = ReceiverStream<Result<backend::FineTuneProgressUpdate, Status>>;
+
+    async fn fine_tune_progress(
+        &self,
+        _: Request<backend::FineTuneProgressRequest>,
+    ) -> Result<Response<Self::FineTuneProgressStream>, Status> {
+        Err(Status::unimplemented("Not supported"))
+    }
+
+    async fn stop_fine_tune(
+        &self,
+        _: Request<backend::FineTuneStopRequest>,
+    ) -> Result<Response<backend::Result>, Status> {
+        Err(Status::unimplemented("Not supported"))
+    }
+
+    async fn list_checkpoints(
+        &self,
+        _: Request<backend::ListCheckpointsRequest>,
+    ) -> Result<Response<backend::ListCheckpointsResponse>, Status> {
+        Err(Status::unimplemented("Not supported"))
+    }
+
+    async fn export_model(
+        &self,
+        _: Request<backend::ExportModelRequest>,
+    ) -> Result<Response<backend::Result>, Status> {
+        Err(Status::unimplemented("Not supported"))
+    }
+
+    async fn start_quantization(
+        &self,
+        _: Request<backend::QuantizationRequest>,
+    ) -> Result<Response<backend::QuantizationJobResult>, Status> {
+        Err(Status::unimplemented("Not supported"))
+    }
+
+    type QuantizationProgressStream =
+        ReceiverStream<Result<backend::QuantizationProgressUpdate, Status>>;
+
+    async fn quantization_progress(
+        &self,
+        _: Request<backend::QuantizationProgressRequest>,
+    ) -> Result<Response<Self::QuantizationProgressStream>, Status> {
+        Err(Status::unimplemented("Not supported"))
+    }
+
+    async fn stop_quantization(
+        &self,
+        _: Request<backend::QuantizationStopRequest>,
+    ) -> Result<Response<backend::Result>, Status> {
+        Err(Status::unimplemented("Not supported"))
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    #[test]
+    fn wav_header_is_standard_pcm16() {
+        let samples = vec![0.0f32, 0.5, -0.5, 1.0, -1.0];
+        let path = std::env::temp_dir().join("kokoros_test.wav");
+        let path_str = path.to_str().unwrap();
+
+        write_pcm16_wav(path_str, &samples, 24000).unwrap();
+
+        let data = std::fs::read(&path).unwrap();
+        std::fs::remove_file(&path).unwrap();
+
+        // Must be exactly 44-byte header + data
+        assert_eq!(data.len(), 44 + samples.len() * 2);
+
+        // RIFF header
+        assert_eq!(&data[0..4], b"RIFF");
+        assert_eq!(&data[8..12], b"WAVE");
+
+        // fmt chunk: 16 bytes, format=1 (PCM), channels=1, 16-bit
+        assert_eq!(&data[12..16], b"fmt ");
+        assert_eq!(u32::from_le_bytes(data[16..20].try_into().unwrap()), 16); // chunk size
+        assert_eq!(u16::from_le_bytes(data[20..22].try_into().unwrap()), 1); // PCM format
+        assert_eq!(u16::from_le_bytes(data[22..24].try_into().unwrap()), 1); // mono
+        assert_eq!(u32::from_le_bytes(data[24..28].try_into().unwrap()), 24000); // sample rate
+        assert_eq!(u16::from_le_bytes(data[34..36].try_into().unwrap()), 16); // bits per sample
+
+        // data chunk
+        assert_eq!(&data[36..40], b"data");
+        assert_eq!(
+            u32::from_le_bytes(data[40..44].try_into().unwrap()),
+            (samples.len() * 2) as u32
+        );
+
+        // Verify sample values: 0.5 -> 16383, -0.5 -> -16383, 1.0 -> 32767, -1.0 -> -32767
+        let s1 = i16::from_le_bytes(data[46..48].try_into().unwrap());
+        assert_eq!(s1, 16383); // 0.5 * 32767
+        let s3 = i16::from_le_bytes(data[50..52].try_into().unwrap());
+        assert_eq!(s3, 32767); // 1.0 clamped
+        let s4 = i16::from_le_bytes(data[52..54].try_into().unwrap());
+        assert_eq!(s4, -32767); // -1.0 clamped
+    }
+
+    /// Integration test: runs actual TTS inference and validates the output audio.
+    /// Skipped unless KOKOROS_MODEL_PATH is set to a directory containing
+    /// kokoro-v1.0.onnx and voices-v1.0.bin.
+    #[tokio::test]
+    async fn tts_produces_valid_speech() {
+        let model_dir = match std::env::var("KOKOROS_MODEL_PATH") {
+            Ok(p) => p,
+            Err(_) => {
+                eprintln!("KOKOROS_MODEL_PATH not set, skipping integration test");
+                return;
+            }
+        };
+
+        let model_path = format!("{}/kokoro-v1.0.onnx", model_dir);
+        let voices_path = format!("{}/voices-v1.0.bin", model_dir);
+
+        if !std::path::Path::new(&model_path).exists() {
+            eprintln!("Model file not found at {}, skipping", model_path);
+            return;
+        }
+
+        let tts = TTSKoko::new(&model_path, &voices_path).await;
+
+        let input_text = "Hello world, this is a test of speech synthesis.";
+        let out_path = std::env::temp_dir().join("kokoros_integration_test.wav");
+        let out_str = out_path.to_str().unwrap();
+
+        let samples = tts
+            .tts_raw_audio(input_text, "en-us", "af_heart", 1.0, None, None, None, None)
+            .expect("tts_raw_audio failed");
+
+        write_pcm16_wav(out_str, &samples, 24000).unwrap();
+
+        let data = std::fs::read(&out_path).unwrap();
+        std::fs::remove_file(&out_path).unwrap();
+
+        // --- WAV header sanity ---
+        assert_eq!(&data[0..4], b"RIFF");
+        assert_eq!(&data[8..12], b"WAVE");
+        assert_eq!(u16::from_le_bytes(data[20..22].try_into().unwrap()), 1); // PCM
+        assert_eq!(u32::from_le_bytes(data[24..28].try_into().unwrap()), 24000); // sample rate
+        assert_eq!(u16::from_le_bytes(data[34..36].try_into().unwrap()), 16); // 16-bit
+
+        let num_samples = samples.len();
+        let duration_secs = num_samples as f64 / 24000.0;
+
+        // --- Duration check ---
+        // ~10 words should produce roughly 2-8 seconds of speech
+        assert!(
+            duration_secs > 1.0,
+            "Audio too short: {:.2}s for {} words",
+            duration_secs,
+            input_text.split_whitespace().count()
+        );
+        assert!(
+            duration_secs < 15.0,
+            "Audio too long: {:.2}s for {} words",
+            duration_secs,
+            input_text.split_whitespace().count()
+        );
+
+        // --- Energy check: not silence ---
+        let rms = (samples.iter().map(|s| s * s).sum::<f32>() / num_samples as f32).sqrt();
+        assert!(
+            rms > 0.01,
+            "Audio is near-silence: RMS = {:.6}",
+            rms
+        );
+
+        // --- Not clipped/saturated: should have dynamic range ---
+        let max_abs = samples.iter().map(|s| s.abs()).fold(0.0f32, f32::max);
+        assert!(
+            max_abs < 1.0,
+            "Audio is fully saturated (max |sample| = {:.4})",
+            max_abs
+        );
+        assert!(
+            max_abs > 0.05,
+            "Audio has very low amplitude (max |sample| = {:.4})",
+            max_abs
+        );
+
+        // --- Speech-like spectral check ---
+        // Speech should have significant energy variation (not white noise or DC).
+        // Check that the signal has zero-crossings in a speech-like range (roughly
+        // 50-400 crossings per 24000 samples = 100-8000 Hz fundamental range).
+        let zero_crossings: usize = samples
+            .windows(2)
+            .filter(|w| (w[0] >= 0.0) != (w[1] >= 0.0))
+            .count();
+        let crossings_per_sec = zero_crossings as f64 / duration_secs;
+        // White noise at 24kHz would have ~12000 crossings/sec.
+        // Speech is typically 100-4000 crossings/sec.
+        assert!(
+            crossings_per_sec < 10000.0,
+            "Too many zero crossings ({:.0}/s) — likely noise, not speech",
+            crossings_per_sec
+        );
+        assert!(
+            crossings_per_sec > 50.0,
+            "Too few zero crossings ({:.0}/s) — likely DC or silence, not speech",
+            crossings_per_sec
+        );
+
+        eprintln!(
+            "Integration test passed: duration={:.2}s, rms={:.4}, max={:.4}, zero_crossings={:.0}/s",
+            duration_secs, rms, max_abs, crossings_per_sec
+        );
+    }
+}

core/application/application.go

@@ -37,6 +37,9 @@ type Application struct {
 
 	// Distributed mode services (nil when not in distributed mode)
 	distributed *DistributedServices
+
+	// Upgrade checker (background service for detecting backend upgrades)
+	upgradeChecker *UpgradeChecker
 }
 
 func newApplication(appConfig *config.ApplicationConfig) *Application {
@@ -79,6 +82,19 @@ func (a *Application) AgentJobService() *agentpool.AgentJobService {
 	return a.agentJobService
 }
 
+func (a *Application) UpgradeChecker() *UpgradeChecker {
+	return a.upgradeChecker
+}
+
+// distributedDB returns the PostgreSQL database for distributed coordination,
+// or nil in standalone mode.
+func (a *Application) distributedDB() *gorm.DB {
+	if a.distributed != nil {
+		return a.authDB
+	}
+	return nil
+}
+
 func (a *Application) AgentPoolService() *agentpool.AgentPoolService {
 	return a.agentPoolService.Load()
 }

core/application/config_file_watcher.go

@@ -335,6 +335,9 @@ func readRuntimeSettingsJson(startupAppConfig config.ApplicationConfig) fileHand
 			if settings.AutoloadBackendGalleries != nil && !envAutoloadBackendGalleries {
 				appConfig.AutoloadBackendGalleries = *settings.AutoloadBackendGalleries
 			}
+			if settings.AutoUpgradeBackends != nil {
+				appConfig.AutoUpgradeBackends = *settings.AutoUpgradeBackends
+			}
 			if settings.ApiKeys != nil {
 				// API keys from env vars (startup) should be kept, runtime settings keys replace all runtime keys
 				// If runtime_settings.json specifies ApiKeys (even if empty), it replaces all runtime keys

core/application/startup.go

@@ -231,6 +231,15 @@ func New(opts ...config.AppOption) (*Application, error) {
 		xlog.Error("error registering external backends", "error", err)
 	}
 
+	// Start background upgrade checker for backends.
+	// In distributed mode, uses PostgreSQL advisory lock so only one frontend
+	// instance runs periodic checks (avoids duplicate upgrades across replicas).
+	if len(options.BackendGalleries) > 0 {
+		uc := NewUpgradeChecker(options, application.ModelLoader(), application.distributedDB())
+		application.upgradeChecker = uc
+		go uc.Run(options.Context)
+	}
+
 	if options.ConfigFile != "" {
 		if err := application.ModelConfigLoader().LoadMultipleModelConfigsSingleFile(options.ConfigFile, configLoaderOpts...); err != nil {
 			xlog.Error("error loading config file", "error", err)

core/application/upgrade_checker.go

@@ -0,0 +1,198 @@
+package application
+
+import (
+	"context"
+	"sync"
+	"time"
+
+	"github.com/mudler/LocalAI/core/config"
+	"github.com/mudler/LocalAI/core/gallery"
+	"github.com/mudler/LocalAI/core/services/advisorylock"
+	"github.com/mudler/LocalAI/pkg/model"
+	"github.com/mudler/LocalAI/pkg/system"
+	"github.com/mudler/xlog"
+	"gorm.io/gorm"
+)
+
+// UpgradeChecker periodically checks for backend upgrades and optionally
+// auto-upgrades them. It caches the last check results for API queries.
+//
+// In standalone mode it runs a simple ticker loop.
+// In distributed mode it uses a PostgreSQL advisory lock so that only one
+// frontend instance performs periodic checks and auto-upgrades at a time.
+type UpgradeChecker struct {
+	appConfig   *config.ApplicationConfig
+	modelLoader *model.ModelLoader
+	galleries   []config.Gallery
+	systemState *system.SystemState
+	db          *gorm.DB // non-nil in distributed mode
+
+	checkInterval time.Duration
+	stop          chan struct{}
+	done          chan struct{}
+	triggerCh     chan struct{}
+
+	mu            sync.RWMutex
+	lastUpgrades  map[string]gallery.UpgradeInfo
+	lastCheckTime time.Time
+}
+
+// NewUpgradeChecker creates a new UpgradeChecker service.
+// Pass db=nil for standalone mode, or a *gorm.DB for distributed mode
+// (uses advisory locks so only one instance runs periodic checks).
+func NewUpgradeChecker(appConfig *config.ApplicationConfig, ml *model.ModelLoader, db *gorm.DB) *UpgradeChecker {
+	return &UpgradeChecker{
+		appConfig:     appConfig,
+		modelLoader:   ml,
+		galleries:     appConfig.BackendGalleries,
+		systemState:   appConfig.SystemState,
+		db:            db,
+		checkInterval: 6 * time.Hour,
+		stop:          make(chan struct{}),
+		done:          make(chan struct{}),
+		triggerCh:     make(chan struct{}, 1),
+		lastUpgrades:  make(map[string]gallery.UpgradeInfo),
+	}
+}
+
+// Run starts the upgrade checker loop. It waits 30 seconds after startup,
+// performs an initial check, then re-checks every 6 hours.
+//
+// In distributed mode, periodic checks are guarded by a PostgreSQL advisory
+// lock so only one frontend instance runs them. On-demand triggers (TriggerCheck)
+// and the initial check always run locally for fast API response cache warming.
+func (uc *UpgradeChecker) Run(ctx context.Context) {
+	defer close(uc.done)
+
+	// Initial delay: don't slow down startup
+	select {
+	case <-ctx.Done():
+		return
+	case <-uc.stop:
+		return
+	case <-time.After(30 * time.Second):
+	}
+
+	// First check always runs locally (to warm the cache on this instance)
+	uc.runCheck(ctx)
+
+	if uc.db != nil {
+		// Distributed mode: use advisory lock for periodic checks.
+		// RunLeaderLoop ticks every checkInterval; only the lock holder executes.
+		go advisorylock.RunLeaderLoop(ctx, uc.db, advisorylock.KeyBackendUpgradeCheck, uc.checkInterval, func() {
+			uc.runCheck(ctx)
+		})
+
+		// Still listen for on-demand triggers (from API / settings change)
+		// and stop signal — these run on every instance.
+		for {
+			select {
+			case <-ctx.Done():
+				return
+			case <-uc.stop:
+				return
+			case <-uc.triggerCh:
+				uc.runCheck(ctx)
+			}
+		}
+	} else {
+		// Standalone mode: simple ticker loop
+		ticker := time.NewTicker(uc.checkInterval)
+		defer ticker.Stop()
+
+		for {
+			select {
+			case <-ctx.Done():
+				return
+			case <-uc.stop:
+				return
+			case <-ticker.C:
+				uc.runCheck(ctx)
+			case <-uc.triggerCh:
+				uc.runCheck(ctx)
+			}
+		}
+	}
+}
+
+// Shutdown stops the upgrade checker loop.
+func (uc *UpgradeChecker) Shutdown() {
+	close(uc.stop)
+	<-uc.done
+}
+
+// TriggerCheck forces an immediate upgrade check on this instance.
+func (uc *UpgradeChecker) TriggerCheck() {
+	select {
+	case uc.triggerCh <- struct{}{}:
+	default:
+		// Already triggered, skip
+	}
+}
+
+// GetAvailableUpgrades returns the cached upgrade check results.
+func (uc *UpgradeChecker) GetAvailableUpgrades() map[string]gallery.UpgradeInfo {
+	uc.mu.RLock()
+	defer uc.mu.RUnlock()
+
+	// Return a copy to avoid races
+	result := make(map[string]gallery.UpgradeInfo, len(uc.lastUpgrades))
+	for k, v := range uc.lastUpgrades {
+		result[k] = v
+	}
+	return result
+}
+
+func (uc *UpgradeChecker) runCheck(ctx context.Context) {
+	upgrades, err := gallery.CheckBackendUpgrades(ctx, uc.galleries, uc.systemState)
+
+	uc.mu.Lock()
+	uc.lastCheckTime = time.Now()
+	if err != nil {
+		xlog.Debug("Backend upgrade check failed", "error", err)
+		uc.mu.Unlock()
+		return
+	}
+	uc.lastUpgrades = upgrades
+	uc.mu.Unlock()
+
+	if len(upgrades) == 0 {
+		xlog.Debug("All backends up to date")
+		return
+	}
+
+	// Log available upgrades
+	for name, info := range upgrades {
+		if info.AvailableVersion != "" {
+			xlog.Info("Backend upgrade available",
+				"backend", name,
+				"installed", info.InstalledVersion,
+				"available", info.AvailableVersion)
+		} else {
+			xlog.Info("Backend upgrade available (new build)",
+				"backend", name)
+		}
+	}
+
+	// Auto-upgrade if enabled
+	if uc.appConfig.AutoUpgradeBackends {
+		for name, info := range upgrades {
+			xlog.Info("Auto-upgrading backend", "backend", name,
+				"from", info.InstalledVersion, "to", info.AvailableVersion)
+			if err := gallery.UpgradeBackend(ctx, uc.systemState, uc.modelLoader,
+				uc.galleries, name, nil); err != nil {
+				xlog.Error("Failed to auto-upgrade backend",
+					"backend", name, "error", err)
+			} else {
+				xlog.Info("Backend upgraded successfully", "backend", name,
+					"version", info.AvailableVersion)
+			}
+		}
+		// Re-check to update cache after upgrades
+		if freshUpgrades, err := gallery.CheckBackendUpgrades(ctx, uc.galleries, uc.systemState); err == nil {
+			uc.mu.Lock()
+			uc.lastUpgrades = freshUpgrades
+			uc.mu.Unlock()
+		}
+	}
+}

core/application/watchdog.go

@@ -5,6 +5,27 @@ import (
 	"github.com/mudler/xlog"
 )
 
+// SyncPinnedModelsToWatchdog reads pinned status from all model configs and updates the watchdog
+func (a *Application) SyncPinnedModelsToWatchdog() {
+	cl := a.ModelConfigLoader()
+	if cl == nil {
+		return
+	}
+	wd := a.modelLoader.GetWatchDog()
+	if wd == nil {
+		return
+	}
+	configs := cl.GetAllModelsConfigs()
+	var pinned []string
+	for _, cfg := range configs {
+		if cfg.IsPinned() {
+			pinned = append(pinned, cfg.Name)
+		}
+	}
+	wd.SetPinnedModels(pinned)
+	xlog.Debug("Synced pinned models to watchdog", "count", len(pinned))
+}
+
 func (a *Application) StopWatchdog() error {
 	if a.watchdogStop != nil {
 		close(a.watchdogStop)
@@ -44,6 +65,9 @@ func (a *Application) startWatchdog() error {
 		// Set the watchdog on the model loader
 		a.modelLoader.SetWatchDog(wd)
 
+		// Sync pinned models from config to the watchdog
+		a.SyncPinnedModelsToWatchdog()
+
 		// Start watchdog goroutine if any periodic checks are enabled
 		// LRU eviction doesn't need the Run() loop - it's triggered on model load
 		// But memory reclaimer needs the Run() loop for periodic checking
@@ -124,5 +148,8 @@ func (a *Application) RestartWatchdog() error {
 		newWD.RestoreState(oldState)
 	}
 
+	// Re-sync pinned models after restart
+	a.SyncPinnedModelsToWatchdog()
+
 	return nil
 }

core/backend/detection.go

@@ -13,6 +13,10 @@ import (
 
 func Detection(
 	sourceFile string,
+	prompt string,
+	points []float32,
+	boxes []float32,
+	threshold float32,
 	loader *model.ModelLoader,
 	appConfig *config.ApplicationConfig,
 	modelConfig config.ModelConfig,
@@ -35,7 +39,11 @@ func Detection(
 	}
 
 	res, err := detectionModel.Detect(context.Background(), &proto.DetectOptions{
-		Src: sourceFile,
+		Src:       sourceFile,
+		Prompt:    prompt,
+		Points:    points,
+		Boxes:     boxes,
+		Threshold: threshold,
 	})
 
 	if appConfig.EnableTracing {

core/backend/llm.go

@@ -36,6 +36,27 @@ type TokenUsage struct {
 	Completion             int
 	TimingPromptProcessing float64
 	TimingTokenGeneration  float64
+	ChatDeltas             []*proto.ChatDelta // per-chunk deltas from C++ autoparser (only set during streaming)
+}
+
+// HasChatDeltaContent returns true if any chat delta carries content or reasoning text.
+// Used to decide whether to prefer C++ autoparser deltas over Go-side tag extraction.
+func (t TokenUsage) HasChatDeltaContent() bool {
+	for _, d := range t.ChatDeltas {
+		if d.Content != "" || d.ReasoningContent != "" {
+			return true
+		}
+	}
+	return false
+}
+
+// ChatDeltaReasoningAndContent extracts accumulated reasoning and content from chat deltas.
+func (t TokenUsage) ChatDeltaReasoningAndContent() (reasoning, content string) {
+	for _, d := range t.ChatDeltas {
+		content += d.Content
+		reasoning += d.ReasoningContent
+	}
+	return reasoning, content
 }
 
 // ModelInferenceFunc is a test-friendly indirection to call model inference logic.
@@ -171,6 +192,9 @@ func ModelInference(ctx context.Context, s string, messages schema.Messages, ima
 					allChatDeltas = append(allChatDeltas, reply.ChatDeltas...)
 				}
 
+				// Attach per-chunk chat deltas to tokenUsage so the callback can use them
+				tokenUsage.ChatDeltas = reply.ChatDeltas
+
 				// Parse logprobs from reply if present (collect from last chunk that has them)
 				if len(reply.Logprobs) > 0 {
 					var parsedLogprobs schema.Logprobs
@@ -200,6 +224,9 @@ func ModelInference(ctx context.Context, s string, messages schema.Messages, ima
 				if len(msg) == 0 {
 					tokenCallback("", tokenUsage)
 				}
+
+				// Clear per-chunk deltas so they don't leak to the next chunk
+				tokenUsage.ChatDeltas = nil
 			})
 			if len(allChatDeltas) > 0 {
 				xlog.Debug("[ChatDeltas] streaming completed, accumulated deltas from C++ autoparser", "total_deltas", len(allChatDeltas))

core/backend/llm_test.go

@@ -4,6 +4,7 @@ import (
 	. "github.com/mudler/LocalAI/core/backend"
 	"github.com/mudler/LocalAI/core/config"
 	"github.com/mudler/LocalAI/core/schema"
+	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
 
 	. "github.com/onsi/ginkgo/v2"
 	. "github.com/onsi/gomega"
@@ -107,3 +108,111 @@ var _ = Describe("LLM tests", func() {
 		})
 	})
 })
+
+var _ = Describe("TokenUsage ChatDelta helpers", func() {
+	Describe("HasChatDeltaContent", func() {
+		It("should return false when ChatDeltas is nil", func() {
+			usage := TokenUsage{}
+			Expect(usage.HasChatDeltaContent()).To(BeFalse())
+		})
+
+		It("should return false when ChatDeltas is empty", func() {
+			usage := TokenUsage{ChatDeltas: []*pb.ChatDelta{}}
+			Expect(usage.HasChatDeltaContent()).To(BeFalse())
+		})
+
+		It("should return false when all deltas have empty content and reasoning", func() {
+			usage := TokenUsage{
+				ChatDeltas: []*pb.ChatDelta{
+					{Content: "", ReasoningContent: ""},
+					{Content: ""},
+				},
+			}
+			Expect(usage.HasChatDeltaContent()).To(BeFalse())
+		})
+
+		It("should return true when a delta has content", func() {
+			usage := TokenUsage{
+				ChatDeltas: []*pb.ChatDelta{
+					{Content: "hello"},
+				},
+			}
+			Expect(usage.HasChatDeltaContent()).To(BeTrue())
+		})
+
+		It("should return true when a delta has reasoning content", func() {
+			usage := TokenUsage{
+				ChatDeltas: []*pb.ChatDelta{
+					{ReasoningContent: "thinking..."},
+				},
+			}
+			Expect(usage.HasChatDeltaContent()).To(BeTrue())
+		})
+
+		It("should return true when a delta has both content and reasoning", func() {
+			usage := TokenUsage{
+				ChatDeltas: []*pb.ChatDelta{
+					{Content: "hello", ReasoningContent: "thinking..."},
+				},
+			}
+			Expect(usage.HasChatDeltaContent()).To(BeTrue())
+		})
+	})
+
+	Describe("ChatDeltaReasoningAndContent", func() {
+		It("should return empty strings when ChatDeltas is nil", func() {
+			usage := TokenUsage{}
+			reasoning, content := usage.ChatDeltaReasoningAndContent()
+			Expect(reasoning).To(BeEmpty())
+			Expect(content).To(BeEmpty())
+		})
+
+		It("should concatenate content from multiple deltas", func() {
+			usage := TokenUsage{
+				ChatDeltas: []*pb.ChatDelta{
+					{Content: "Hello"},
+					{Content: " world"},
+				},
+			}
+			reasoning, content := usage.ChatDeltaReasoningAndContent()
+			Expect(content).To(Equal("Hello world"))
+			Expect(reasoning).To(BeEmpty())
+		})
+
+		It("should concatenate reasoning from multiple deltas", func() {
+			usage := TokenUsage{
+				ChatDeltas: []*pb.ChatDelta{
+					{ReasoningContent: "step 1"},
+					{ReasoningContent: " step 2"},
+				},
+			}
+			reasoning, content := usage.ChatDeltaReasoningAndContent()
+			Expect(reasoning).To(Equal("step 1 step 2"))
+			Expect(content).To(BeEmpty())
+		})
+
+		It("should separate reasoning and content from mixed deltas", func() {
+			usage := TokenUsage{
+				ChatDeltas: []*pb.ChatDelta{
+					{ReasoningContent: "thinking"},
+					{Content: "answer"},
+				},
+			}
+			reasoning, content := usage.ChatDeltaReasoningAndContent()
+			Expect(reasoning).To(Equal("thinking"))
+			Expect(content).To(Equal("answer"))
+		})
+
+		It("should handle deltas with both fields set", func() {
+			usage := TokenUsage{
+				ChatDeltas: []*pb.ChatDelta{
+					{Content: "a", ReasoningContent: "r1"},
+					{Content: "b", ReasoningContent: "r2"},
+				},
+			}
+			reasoning, content := usage.ChatDeltaReasoningAndContent()
+			Expect(reasoning).To(Equal("r1r2"))
+			Expect(content).To(Equal("ab"))
+		})
+	})
+})

core/cli/backends.go

@@ -40,10 +40,17 @@ type BackendsUninstall struct {
 	BackendsCMDFlags `embed:""`
 }
 
+type BackendsUpgrade struct {
+	BackendArgs []string `arg:"" optional:"" name:"backends" help:"Backend names to upgrade (empty = upgrade all)"`
+
+	BackendsCMDFlags `embed:""`
+}
+
 type BackendsCMD struct {
 	List      BackendsList      `cmd:"" help:"List the backends available in your galleries" default:"withargs"`
 	Install   BackendsInstall   `cmd:"" help:"Install a backend from the gallery"`
 	Uninstall BackendsUninstall `cmd:"" help:"Uninstall a backend"`
+	Upgrade   BackendsUpgrade   `cmd:"" help:"Upgrade backends to latest versions"`
 }
 
 func (bl *BackendsList) Run(ctx *cliContext.Context) error {
@@ -64,11 +71,27 @@ func (bl *BackendsList) Run(ctx *cliContext.Context) error {
 	if err != nil {
 		return err
 	}
+
+	// Check for upgrades
+	upgrades, _ := gallery.CheckBackendUpgrades(context.Background(), galleries, systemState)
+
 	for _, backend := range backends {
+		versionStr := ""
+		if backend.Version != "" {
+			versionStr = " v" + backend.Version
+		}
 		if backend.Installed {
-			fmt.Printf(" * %s@%s (installed)\n", backend.Gallery.Name, backend.Name)
+			if info, ok := upgrades[backend.Name]; ok {
+				upgradeStr := info.AvailableVersion
+				if upgradeStr == "" {
+					upgradeStr = "new build"
+				}
+				fmt.Printf(" * %s@%s%s (installed, upgrade available: %s)\n", backend.Gallery.Name, backend.Name, versionStr, upgradeStr)
+			} else {
+				fmt.Printf(" * %s@%s%s (installed)\n", backend.Gallery.Name, backend.Name, versionStr)
+			}
 		} else {
-			fmt.Printf(" - %s@%s\n", backend.Gallery.Name, backend.Name)
+			fmt.Printf(" - %s@%s%s\n", backend.Gallery.Name, backend.Name, versionStr)
 		}
 	}
 	return nil
@@ -111,6 +134,79 @@ func (bi *BackendsInstall) Run(ctx *cliContext.Context) error {
 	return nil
 }
 
+func (bu *BackendsUpgrade) Run(ctx *cliContext.Context) error {
+	var galleries []config.Gallery
+	if err := json.Unmarshal([]byte(bu.BackendGalleries), &galleries); err != nil {
+		xlog.Error("unable to load galleries", "error", err)
+	}
+
+	systemState, err := system.GetSystemState(
+		system.WithBackendSystemPath(bu.BackendsSystemPath),
+		system.WithBackendPath(bu.BackendsPath),
+	)
+	if err != nil {
+		return err
+	}
+
+	upgrades, err := gallery.CheckBackendUpgrades(context.Background(), galleries, systemState)
+	if err != nil {
+		return fmt.Errorf("failed to check for upgrades: %w", err)
+	}
+
+	if len(upgrades) == 0 {
+		fmt.Println("All backends are up to date.")
+		return nil
+	}
+
+	// Filter to specified backends if args given
+	toUpgrade := upgrades
+	if len(bu.BackendArgs) > 0 {
+		toUpgrade = make(map[string]gallery.UpgradeInfo)
+		for _, name := range bu.BackendArgs {
+			if info, ok := upgrades[name]; ok {
+				toUpgrade[name] = info
+			} else {
+				fmt.Printf("Backend %s: no upgrade available\n", name)
+			}
+		}
+	}
+
+	if len(toUpgrade) == 0 {
+		fmt.Println("No upgrades to apply.")
+		return nil
+	}
+
+	modelLoader := model.NewModelLoader(systemState)
+	for name, info := range toUpgrade {
+		versionStr := ""
+		if info.AvailableVersion != "" {
+			versionStr = " to v" + info.AvailableVersion
+		}
+		fmt.Printf("Upgrading %s%s...\n", name, versionStr)
+
+		progressBar := progressbar.NewOptions(
+			1000,
+			progressbar.OptionSetDescription(fmt.Sprintf("downloading %s", name)),
+			progressbar.OptionShowBytes(false),
+			progressbar.OptionClearOnFinish(),
+		)
+		progressCallback := func(fileName string, current string, total string, percentage float64) {
+			v := int(percentage * 10)
+			if err := progressBar.Set(v); err != nil {
+				xlog.Error("error updating progress bar", "error", err)
+			}
+		}
+
+		if err := gallery.UpgradeBackend(context.Background(), systemState, modelLoader, galleries, name, progressCallback); err != nil {
+			fmt.Printf("Failed to upgrade %s: %v\n", name, err)
+		} else {
+			fmt.Printf("Backend %s upgraded successfully\n", name)
+		}
+	}
+
+	return nil
+}
+
 func (bu *BackendsUninstall) Run(ctx *cliContext.Context) error {
 	for _, backendName := range bu.BackendArgs {
 		xlog.Info("uninstalling backend", "backend", backendName)

core/cli/run.go

@@ -47,6 +47,7 @@ type RunCMD struct {
 	BackendImagesReleaseTag  string   `env:"LOCALAI_BACKEND_IMAGES_RELEASE_TAG,BACKEND_IMAGES_RELEASE_TAG" help:"Fallback release tag for backend images" group:"backends" default:"latest"`
 	BackendImagesBranchTag   string   `env:"LOCALAI_BACKEND_IMAGES_BRANCH_TAG,BACKEND_IMAGES_BRANCH_TAG" help:"Fallback branch tag for backend images" group:"backends" default:"master"`
 	BackendDevSuffix         string   `env:"LOCALAI_BACKEND_DEV_SUFFIX,BACKEND_DEV_SUFFIX" help:"Development suffix for backend images" group:"backends" default:"development"`
+	AutoUpgradeBackends      bool     `env:"LOCALAI_AUTO_UPGRADE_BACKENDS,AUTO_UPGRADE_BACKENDS" help:"Automatically upgrade backends when new versions are detected" group:"backends" default:"false"`
 	PreloadModels            string   `env:"LOCALAI_PRELOAD_MODELS,PRELOAD_MODELS" help:"A List of models to apply in JSON at start" group:"models"`
 	Models                   []string `env:"LOCALAI_MODELS,MODELS" help:"A List of model configuration URLs to load" group:"models"`
 	PreloadModelsConfig      string   `env:"LOCALAI_PRELOAD_MODELS_CONFIG,PRELOAD_MODELS_CONFIG" help:"A List of models to apply at startup. Path to a YAML config file" group:"models"`
@@ -62,6 +63,7 @@ type RunCMD struct {
 	UploadLimit                        int      `env:"LOCALAI_UPLOAD_LIMIT,UPLOAD_LIMIT" default:"15" help:"Default upload-limit in MB" group:"api"`
 	APIKeys                            []string `env:"LOCALAI_API_KEY,API_KEY" help:"List of API Keys to enable API authentication. When this is set, all the requests must be authenticated with one of these API keys" group:"api"`
 	DisableWebUI                       bool     `env:"LOCALAI_DISABLE_WEBUI,DISABLE_WEBUI" default:"false" help:"Disables the web user interface. When set to true, the server will only expose API endpoints without serving the web interface" group:"api"`
+	OllamaAPIRootEndpoint              bool     `env:"LOCALAI_OLLAMA_API_ROOT_ENDPOINT" default:"false" help:"Register Ollama-compatible health check on / (replaces web UI on root path). The /api/* Ollama endpoints are always available regardless of this flag" group:"api"`
 	DisableRuntimeSettings             bool     `env:"LOCALAI_DISABLE_RUNTIME_SETTINGS,DISABLE_RUNTIME_SETTINGS" default:"false" help:"Disables the runtime settings. When set to true, the server will not load the runtime settings from the runtime_settings.json file" group:"api"`
 	DisablePredownloadScan             bool     `env:"LOCALAI_DISABLE_PREDOWNLOAD_SCAN" help:"If true, disables the best-effort security scanner before downloading any files." group:"hardening" default:"false"`
 	OpaqueErrors                       bool     `env:"LOCALAI_OPAQUE_ERRORS" default:"false" help:"If true, all error responses are replaced with blank 500 errors. This is intended only for hardening against information leaks and is normally not recommended." group:"hardening"`
@@ -295,6 +297,10 @@ func (r *RunCMD) Run(ctx *cliContext.Context) error {
 		opts = append(opts, config.DisableWebUI)
 	}
 
+	if r.OllamaAPIRootEndpoint {
+		opts = append(opts, config.EnableOllamaAPIRootEndpoint)
+	}
+
 	if r.DisableGalleryEndpoint {
 		opts = append(opts, config.DisableGalleryEndpoint)
 	}
@@ -485,6 +491,10 @@ func (r *RunCMD) Run(ctx *cliContext.Context) error {
 		opts = append(opts, config.EnableBackendGalleriesAutoload)
 	}
 
+	if r.AutoUpgradeBackends {
+		opts = append(opts, config.WithAutoUpgradeBackends(r.AutoUpgradeBackends))
+	}
+
 	if r.PreloadBackendOnly {
 		_, err := application.New(opts...)
 		return err

core/cli/worker.go

@@ -512,11 +512,9 @@ func (s *backendSupervisor) stopBackend(backend string) {
 
 	// Network I/O outside the lock
 	client := grpc.NewClientWithToken(bp.addr, false, nil, false, s.cmd.RegistrationToken)
-	if freeFunc, ok := client.(interface{ Free(context.Context) error }); ok {
+	xlog.Debug("Calling Free() before stopping backend", "backend", backend)
-		xlog.Debug("Calling Free() before stopping backend", "backend", backend)
+	if err := client.Free(context.Background()); err != nil {
-		if err := freeFunc.Free(context.Background()); err != nil {
+		xlog.Warn("Free() failed (best-effort)", "backend", backend, "error", err)
-			xlog.Warn("Free() failed (best-effort)", "backend", backend, "error", err)
-		}
 	}
 
 	xlog.Info("Stopping backend process", "backend", backend, "addr", bp.addr)
@@ -692,13 +690,13 @@ func (s *backendSupervisor) subscribeLifecycleEvents() {
 
 	// backend.delete — stop backend + delete files (request-reply)
 	s.nats.SubscribeReply(messaging.SubjectNodeBackendDelete(s.nodeID), func(data []byte, reply func([]byte)) {
-		xlog.Info("Received NATS backend.delete event")
 		var req messaging.BackendDeleteRequest
 		if err := json.Unmarshal(data, &req); err != nil {
 			resp := messaging.BackendDeleteReply{Success: false, Error: fmt.Sprintf("invalid request: %v", err)}
 			replyJSON(reply, resp)
 			return
 		}
+		xlog.Info("Received NATS backend.delete event", "backend", req.Backend)
 
 		// Stop if running this backend
 		if s.isRunning(req.Backend) {
@@ -774,10 +772,8 @@ func (s *backendSupervisor) subscribeLifecycleEvents() {
 		if targetAddr != "" {
 			// Best-effort gRPC Free()
 			client := grpc.NewClientWithToken(targetAddr, false, nil, false, s.cmd.RegistrationToken)
-			if freeFunc, ok := client.(interface{ Free(context.Context) error }); ok {
+			if err := client.Free(context.Background()); err != nil {
-				if err := freeFunc.Free(context.Background()); err != nil {
+				xlog.Warn("Free() failed during model.unload", "error", err, "addr", targetAddr)
-					xlog.Warn("Free() failed during model.unload", "error", err, "addr", targetAddr)
-				}
 			}
 		}
 

core/config/application_config.go

@@ -40,6 +40,7 @@ type ApplicationConfig struct {
 	Federated                     bool
 
 	DisableWebUI                       bool
+	OllamaAPIRootEndpoint              bool
 	EnforcePredownloadScans            bool
 	OpaqueErrors                       bool
 	UseSubtleKeyComparison             bool
@@ -56,6 +57,7 @@ type ApplicationConfig struct {
 	ExternalGRPCBackends map[string]string
 
 	AutoloadGalleries, AutoloadBackendGalleries bool
+	AutoUpgradeBackends                         bool
 
 	SingleBackend           bool // Deprecated: use MaxActiveBackends = 1 instead
 	MaxActiveBackends       int  // Maximum number of active backends (0 = unlimited, 1 = single backend mode)
@@ -263,6 +265,10 @@ var DisableWebUI = func(o *ApplicationConfig) {
 	o.DisableWebUI = true
 }
 
+var EnableOllamaAPIRootEndpoint = func(o *ApplicationConfig) {
+	o.OllamaAPIRootEndpoint = true
+}
+
 var DisableRuntimeSettings = func(o *ApplicationConfig) {
 	o.DisableRuntimeSettings = true
 }
@@ -385,6 +391,10 @@ var EnableBackendGalleriesAutoload = func(o *ApplicationConfig) {
 	o.AutoloadBackendGalleries = true
 }
 
+func WithAutoUpgradeBackends(v bool) AppOption {
+	return func(o *ApplicationConfig) { o.AutoUpgradeBackends = v }
+}
+
 var EnableFederated = func(o *ApplicationConfig) {
 	o.Federated = true
 }
@@ -857,6 +867,7 @@ func (o *ApplicationConfig) ToRuntimeSettings() RuntimeSettings {
 	backendGalleries := o.BackendGalleries
 	autoloadGalleries := o.AutoloadGalleries
 	autoloadBackendGalleries := o.AutoloadBackendGalleries
+	autoUpgradeBackends := o.AutoUpgradeBackends
 	apiKeys := o.ApiKeys
 	agentJobRetentionDays := o.AgentJobRetentionDays
 
@@ -930,6 +941,7 @@ func (o *ApplicationConfig) ToRuntimeSettings() RuntimeSettings {
 		BackendGalleries:          &backendGalleries,
 		AutoloadGalleries:         &autoloadGalleries,
 		AutoloadBackendGalleries:  &autoloadBackendGalleries,
+		AutoUpgradeBackends:       &autoUpgradeBackends,
 		ApiKeys:                   &apiKeys,
 		AgentJobRetentionDays:     &agentJobRetentionDays,
 		OpenResponsesStoreTTL:     &openResponsesStoreTTL,
@@ -1078,6 +1090,9 @@ func (o *ApplicationConfig) ApplyRuntimeSettings(settings *RuntimeSettings) (req
 	if settings.AutoloadBackendGalleries != nil {
 		o.AutoloadBackendGalleries = *settings.AutoloadBackendGalleries
 	}
+	if settings.AutoUpgradeBackends != nil {
+		o.AutoUpgradeBackends = *settings.AutoUpgradeBackends
+	}
 	if settings.AgentJobRetentionDays != nil {
 		o.AgentJobRetentionDays = *settings.AgentJobRetentionDays
 	}

core/config/application_config_test.go

@@ -119,6 +119,13 @@ var _ = Describe("ApplicationConfig RuntimeSettings Conversion", func() {
 			Expect(*rs.AgentJobRetentionDays).To(Equal(30))
 		})
 
+		It("should include auto_upgrade_backends", func() {
+			appConfig := &ApplicationConfig{AutoUpgradeBackends: true}
+			rs := appConfig.ToRuntimeSettings()
+			Expect(rs.AutoUpgradeBackends).ToNot(BeNil())
+			Expect(*rs.AutoUpgradeBackends).To(BeTrue())
+		})
+
 		It("should use default timeouts when not set", func() {
 			appConfig := &ApplicationConfig{}
 
@@ -426,6 +433,14 @@ var _ = Describe("ApplicationConfig RuntimeSettings Conversion", func() {
 			Expect(appConfig.AutoloadBackendGalleries).To(BeTrue())
 		})
 
+		It("should apply auto_upgrade_backends setting", func() {
+			appConfig := &ApplicationConfig{}
+			v := true
+			rs := &RuntimeSettings{AutoUpgradeBackends: &v}
+			appConfig.ApplyRuntimeSettings(rs)
+			Expect(appConfig.AutoUpgradeBackends).To(BeTrue())
+		})
+
 		It("should apply agent settings", func() {
 			appConfig := &ApplicationConfig{}
 
@@ -465,6 +480,7 @@ var _ = Describe("ApplicationConfig RuntimeSettings Conversion", func() {
 				Federated:                true,
 				AutoloadGalleries:        true,
 				AutoloadBackendGalleries: false,
+				AutoUpgradeBackends:      true,
 				AgentJobRetentionDays:    60,
 			}
 
@@ -496,6 +512,7 @@ var _ = Describe("ApplicationConfig RuntimeSettings Conversion", func() {
 			Expect(target.Federated).To(Equal(original.Federated))
 			Expect(target.AutoloadGalleries).To(Equal(original.AutoloadGalleries))
 			Expect(target.AutoloadBackendGalleries).To(Equal(original.AutoloadBackendGalleries))
+			Expect(target.AutoUpgradeBackends).To(Equal(original.AutoUpgradeBackends))
 			Expect(target.AgentJobRetentionDays).To(Equal(original.AgentJobRetentionDays))
 		})
 

core/config/inference_defaults.json

@@ -14,6 +14,7 @@
     "qwen2-vl": {"min_p":0.1,"repeat_penalty":1,"temperature":1.5,"top_k":-1,"top_p":0.95},
     "qwen2": {"min_p":0,"repeat_penalty":1,"temperature":0.7,"top_k":20,"top_p":0.8},
     "qwq": {"min_p":0,"repeat_penalty":1,"temperature":0.6,"top_k":40,"top_p":0.95},
+    "gemma-4": {"min_p":0,"presence_penalty":0,"repeat_penalty":1,"temperature":1,"top_k":64,"top_p":0.95},
     "gemma-3n": {"min_p":0,"repeat_penalty":1,"temperature":1,"top_k":64,"top_p":0.95},
     "gemma-3": {"min_p":0,"repeat_penalty":1,"temperature":1,"top_k":64,"top_p":0.95},
     "medgemma": {"min_p":0,"repeat_penalty":1,"temperature":1,"top_k":64,"top_p":0.95},
@@ -53,5 +54,5 @@
     "grok": {"min_p":0.01,"repeat_penalty":1,"temperature":1,"top_k":-1,"top_p":0.95},
     "mimo": {"min_p":0.01,"repeat_penalty":1,"temperature":0.7,"top_k":-1,"top_p":0.95}
   },
-  "patterns": ["qwen3.5","qwen3-coder","qwen3-next","qwen3-vl","qwen3","qwen2.5-coder","qwen2.5-vl","qwen2.5-omni","qwen2.5-math","qwen2.5","qwen2-vl","qwen2","qwq","gemma-3n","gemma-3","medgemma","gemma-2","llama-4","llama-3.3","llama-3.2","llama-3.1","llama-3","phi-4","phi-3","mistral-nemo","mistral-small","mistral-large","magistral","ministral","devstral","pixtral","deepseek-r1","deepseek-v3","deepseek-ocr","glm-5","glm-4","nemotron","minimax-m2.5","minimax","gpt-oss","granite-4","kimi-k2","kimi","lfm2","smollm","olmo","falcon","ernie","seed","grok","mimo"]
+  "patterns": ["qwen3.5","qwen3-coder","qwen3-next","qwen3-vl","qwen3","qwen2.5-coder","qwen2.5-vl","qwen2.5-omni","qwen2.5-math","qwen2.5","qwen2-vl","qwen2","qwq","gemma-4","gemma-3n","gemma-3","medgemma","gemma-2","llama-4","llama-3.3","llama-3.2","llama-3.1","llama-3","phi-4","phi-3","mistral-nemo","mistral-small","mistral-large","magistral","ministral","devstral","pixtral","deepseek-r1","deepseek-v3","deepseek-ocr","glm-5","glm-4","nemotron","minimax-m2.5","minimax","gpt-oss","granite-4","kimi-k2","kimi","lfm2","smollm","olmo","falcon","ernie","seed","grok","mimo"]
 }

core/config/meta/build.go

@@ -0,0 +1,132 @@
+package meta
+
+import (
+	"reflect"
+	"sort"
+	"sync"
+)
+
+var (
+	cachedMetadata *ConfigMetadata
+	cacheMu        sync.RWMutex
+)
+
+// BuildConfigMetadata reflects on the given struct type (ModelConfig),
+// merges the enrichment registry, and returns the full ConfigMetadata.
+// The result is cached in memory after the first call.
+func BuildConfigMetadata(modelConfigType reflect.Type) *ConfigMetadata {
+	cacheMu.RLock()
+	if cachedMetadata != nil {
+		cacheMu.RUnlock()
+		return cachedMetadata
+	}
+	cacheMu.RUnlock()
+
+	cacheMu.Lock()
+	defer cacheMu.Unlock()
+
+	if cachedMetadata != nil {
+		return cachedMetadata
+	}
+
+	cachedMetadata = buildConfigMetadataUncached(modelConfigType, DefaultRegistry())
+	return cachedMetadata
+}
+
+// buildConfigMetadataUncached does the actual work without caching.
+func buildConfigMetadataUncached(modelConfigType reflect.Type, registry map[string]FieldMetaOverride) *ConfigMetadata {
+	fields := WalkModelConfig(modelConfigType)
+
+	for i := range fields {
+		override, ok := registry[fields[i].Path]
+		if !ok {
+			continue
+		}
+		applyOverride(&fields[i], override)
+	}
+
+	allSections := DefaultSections()
+
+	sectionOrder := make(map[string]int, len(allSections))
+	for _, s := range allSections {
+		sectionOrder[s.ID] = s.Order
+	}
+
+	sort.SliceStable(fields, func(i, j int) bool {
+		si := sectionOrder[fields[i].Section]
+		sj := sectionOrder[fields[j].Section]
+		if si != sj {
+			return si < sj
+		}
+		return fields[i].Order < fields[j].Order
+	})
+
+	usedSections := make(map[string]bool)
+	for _, f := range fields {
+		usedSections[f.Section] = true
+	}
+
+	var sections []Section
+	for _, s := range allSections {
+		if usedSections[s.ID] {
+			sections = append(sections, s)
+		}
+	}
+
+	return &ConfigMetadata{
+		Sections: sections,
+		Fields:   fields,
+	}
+}
+
+// applyOverride merges non-zero override values into the field.
+func applyOverride(f *FieldMeta, o FieldMetaOverride) {
+	if o.Section != "" {
+		f.Section = o.Section
+	}
+	if o.Label != "" {
+		f.Label = o.Label
+	}
+	if o.Description != "" {
+		f.Description = o.Description
+	}
+	if o.Component != "" {
+		f.Component = o.Component
+	}
+	if o.Placeholder != "" {
+		f.Placeholder = o.Placeholder
+	}
+	if o.Default != nil {
+		f.Default = o.Default
+	}
+	if o.Min != nil {
+		f.Min = o.Min
+	}
+	if o.Max != nil {
+		f.Max = o.Max
+	}
+	if o.Step != nil {
+		f.Step = o.Step
+	}
+	if o.Options != nil {
+		f.Options = o.Options
+	}
+	if o.AutocompleteProvider != "" {
+		f.AutocompleteProvider = o.AutocompleteProvider
+	}
+	if o.VRAMImpact {
+		f.VRAMImpact = true
+	}
+	if o.Advanced {
+		f.Advanced = true
+	}
+	if o.Order != 0 {
+		f.Order = o.Order
+	}
+}
+
+// BuildForTest builds metadata without caching, for use in tests.
+func BuildForTest(modelConfigType reflect.Type, registry map[string]FieldMetaOverride) *ConfigMetadata {
+	return buildConfigMetadataUncached(modelConfigType, registry)
+}
+

core/config/meta/build_test.go

@@ -0,0 +1,211 @@
+package meta_test
+
+import (
+	"reflect"
+	"testing"
+
+	"github.com/mudler/LocalAI/core/config"
+	"github.com/mudler/LocalAI/core/config/meta"
+)
+
+func TestBuildConfigMetadata(t *testing.T) {
+	md := meta.BuildForTest(reflect.TypeOf(config.ModelConfig{}), meta.DefaultRegistry())
+
+	if len(md.Sections) == 0 {
+		t.Fatal("expected sections, got 0")
+	}
+	if len(md.Fields) == 0 {
+		t.Fatal("expected fields, got 0")
+	}
+
+	// Verify sections are ordered
+	for i := 1; i < len(md.Sections); i++ {
+		if md.Sections[i].Order < md.Sections[i-1].Order {
+			t.Errorf("sections not ordered: %s (order=%d) before %s (order=%d)",
+				md.Sections[i-1].ID, md.Sections[i-1].Order,
+				md.Sections[i].ID, md.Sections[i].Order)
+		}
+	}
+}
+
+func TestRegistryOverrides(t *testing.T) {
+	registry := map[string]meta.FieldMetaOverride{
+		"name": {
+			Label:       "My Custom Label",
+			Description: "Custom description",
+			Component:   "textarea",
+			Order:       999,
+		},
+	}
+
+	md := meta.BuildForTest(reflect.TypeOf(config.ModelConfig{}), registry)
+
+	byPath := make(map[string]meta.FieldMeta, len(md.Fields))
+	for _, f := range md.Fields {
+		byPath[f.Path] = f
+	}
+
+	f, ok := byPath["name"]
+	if !ok {
+		t.Fatal("field 'name' not found")
+	}
+	if f.Label != "My Custom Label" {
+		t.Errorf("expected label 'My Custom Label', got %q", f.Label)
+	}
+	if f.Description != "Custom description" {
+		t.Errorf("expected description 'Custom description', got %q", f.Description)
+	}
+	if f.Component != "textarea" {
+		t.Errorf("expected component 'textarea', got %q", f.Component)
+	}
+	if f.Order != 999 {
+		t.Errorf("expected order 999, got %d", f.Order)
+	}
+}
+
+func TestUnregisteredFieldsGetDefaults(t *testing.T) {
+	// Use empty registry - all fields should still get auto-generated metadata
+	md := meta.BuildForTest(reflect.TypeOf(config.ModelConfig{}), map[string]meta.FieldMetaOverride{})
+
+	byPath := make(map[string]meta.FieldMeta, len(md.Fields))
+	for _, f := range md.Fields {
+		byPath[f.Path] = f
+	}
+
+	// context_size should still exist with auto-generated label
+	f, ok := byPath["context_size"]
+	if !ok {
+		t.Fatal("field 'context_size' not found")
+	}
+	if f.Label == "" {
+		t.Error("expected auto-generated label, got empty")
+	}
+	if f.UIType != "int" {
+		t.Errorf("expected UIType 'int', got %q", f.UIType)
+	}
+	if f.Component == "" {
+		t.Error("expected auto-generated component, got empty")
+	}
+}
+
+func TestDefaultRegistryOverridesApply(t *testing.T) {
+	md := meta.BuildForTest(reflect.TypeOf(config.ModelConfig{}), meta.DefaultRegistry())
+
+	byPath := make(map[string]meta.FieldMeta, len(md.Fields))
+	for _, f := range md.Fields {
+		byPath[f.Path] = f
+	}
+
+	// Verify enriched fields got their overrides
+	tests := []struct {
+		path        string
+		label       string
+		description string
+		vramImpact  bool
+	}{
+		{"context_size", "Context Size", "Maximum context window in tokens", true},
+		{"gpu_layers", "GPU Layers", "Number of layers to offload to GPU (-1 = all)", true},
+		{"backend", "Backend", "The inference backend to use (e.g. llama-cpp, vllm, diffusers)", false},
+		{"parameters.temperature", "Temperature", "Sampling temperature (higher = more creative, lower = more deterministic)", false},
+		{"template.chat", "Chat Template", "Go template for chat completion requests", false},
+	}
+
+	for _, tt := range tests {
+		f, ok := byPath[tt.path]
+		if !ok {
+			t.Errorf("field %q not found", tt.path)
+			continue
+		}
+		if f.Label != tt.label {
+			t.Errorf("field %q: expected label %q, got %q", tt.path, tt.label, f.Label)
+		}
+		if f.Description != tt.description {
+			t.Errorf("field %q: expected description %q, got %q", tt.path, tt.description, f.Description)
+		}
+		if f.VRAMImpact != tt.vramImpact {
+			t.Errorf("field %q: expected vramImpact=%v, got %v", tt.path, tt.vramImpact, f.VRAMImpact)
+		}
+	}
+}
+
+func TestStaticOptionsFields(t *testing.T) {
+	md := meta.BuildForTest(reflect.TypeOf(config.ModelConfig{}), meta.DefaultRegistry())
+
+	byPath := make(map[string]meta.FieldMeta, len(md.Fields))
+	for _, f := range md.Fields {
+		byPath[f.Path] = f
+	}
+
+	// Fields with static options should have Options populated and no AutocompleteProvider
+	staticFields := []string{"quantization", "cache_type_k", "cache_type_v", "diffusers.pipeline_type", "diffusers.scheduler_type"}
+	for _, path := range staticFields {
+		f, ok := byPath[path]
+		if !ok {
+			t.Errorf("field %q not found", path)
+			continue
+		}
+		if len(f.Options) == 0 {
+			t.Errorf("field %q: expected Options to be populated", path)
+		}
+		if f.AutocompleteProvider != "" {
+			t.Errorf("field %q: expected no AutocompleteProvider, got %q", path, f.AutocompleteProvider)
+		}
+	}
+}
+
+func TestDynamicProviderFields(t *testing.T) {
+	md := meta.BuildForTest(reflect.TypeOf(config.ModelConfig{}), meta.DefaultRegistry())
+
+	byPath := make(map[string]meta.FieldMeta, len(md.Fields))
+	for _, f := range md.Fields {
+		byPath[f.Path] = f
+	}
+
+	// Fields with dynamic providers should have AutocompleteProvider and no Options
+	dynamicFields := map[string]string{
+		"backend":                meta.ProviderBackends,
+		"pipeline.llm":          meta.ProviderModelsChat,
+		"pipeline.tts":          meta.ProviderModelsTTS,
+		"pipeline.transcription": meta.ProviderModelsTranscript,
+		"pipeline.vad":          meta.ProviderModelsVAD,
+	}
+	for path, expectedProvider := range dynamicFields {
+		f, ok := byPath[path]
+		if !ok {
+			t.Errorf("field %q not found", path)
+			continue
+		}
+		if f.AutocompleteProvider != expectedProvider {
+			t.Errorf("field %q: expected AutocompleteProvider %q, got %q", path, expectedProvider, f.AutocompleteProvider)
+		}
+		if len(f.Options) != 0 {
+			t.Errorf("field %q: expected no Options, got %d", path, len(f.Options))
+		}
+	}
+}
+
+func TestVRAMImpactFields(t *testing.T) {
+	md := meta.BuildForTest(reflect.TypeOf(config.ModelConfig{}), meta.DefaultRegistry())
+
+	var vramFields []string
+	for _, f := range md.Fields {
+		if f.VRAMImpact {
+			vramFields = append(vramFields, f.Path)
+		}
+	}
+
+	if len(vramFields) == 0 {
+		t.Error("expected some VRAM impact fields, got 0")
+	}
+
+	// context_size and gpu_layers should be marked
+	expected := map[string]bool{"context_size": true, "gpu_layers": true}
+	for _, path := range vramFields {
+		if expected[path] {
+			delete(expected, path)
+		}
+	}
+	for path := range expected {
+		t.Errorf("expected VRAM impact field %q not found", path)
+	}
+}

core/config/meta/constants.go

@@ -0,0 +1,79 @@
+package meta
+
+// Dynamic autocomplete provider constants (runtime lookup required).
+const (
+	ProviderBackends         = "backends"
+	ProviderModels           = "models"
+	ProviderModelsChat       = "models:chat"
+	ProviderModelsTTS        = "models:tts"
+	ProviderModelsTranscript = "models:transcript"
+	ProviderModelsVAD        = "models:vad"
+)
+
+// Static option lists embedded directly in field metadata.
+
+var QuantizationOptions = []FieldOption{
+	{Value: "q4_0", Label: "Q4_0"},
+	{Value: "q4_1", Label: "Q4_1"},
+	{Value: "q5_0", Label: "Q5_0"},
+	{Value: "q5_1", Label: "Q5_1"},
+	{Value: "q8_0", Label: "Q8_0"},
+	{Value: "q2_K", Label: "Q2_K"},
+	{Value: "q3_K_S", Label: "Q3_K_S"},
+	{Value: "q3_K_M", Label: "Q3_K_M"},
+	{Value: "q3_K_L", Label: "Q3_K_L"},
+	{Value: "q4_K_S", Label: "Q4_K_S"},
+	{Value: "q4_K_M", Label: "Q4_K_M"},
+	{Value: "q5_K_S", Label: "Q5_K_S"},
+	{Value: "q5_K_M", Label: "Q5_K_M"},
+	{Value: "q6_K", Label: "Q6_K"},
+}
+
+var CacheTypeOptions = []FieldOption{
+	{Value: "f16", Label: "F16"},
+	{Value: "f32", Label: "F32"},
+	{Value: "q8_0", Label: "Q8_0"},
+	{Value: "q4_0", Label: "Q4_0"},
+	{Value: "q4_1", Label: "Q4_1"},
+	{Value: "q5_0", Label: "Q5_0"},
+	{Value: "q5_1", Label: "Q5_1"},
+}
+
+var DiffusersPipelineOptions = []FieldOption{
+	{Value: "StableDiffusionPipeline", Label: "StableDiffusionPipeline"},
+	{Value: "StableDiffusionImg2ImgPipeline", Label: "StableDiffusionImg2ImgPipeline"},
+	{Value: "StableDiffusionXLPipeline", Label: "StableDiffusionXLPipeline"},
+	{Value: "StableDiffusionXLImg2ImgPipeline", Label: "StableDiffusionXLImg2ImgPipeline"},
+	{Value: "StableDiffusionDepth2ImgPipeline", Label: "StableDiffusionDepth2ImgPipeline"},
+	{Value: "DiffusionPipeline", Label: "DiffusionPipeline"},
+	{Value: "StableVideoDiffusionPipeline", Label: "StableVideoDiffusionPipeline"},
+}
+
+var UsecaseOptions = []FieldOption{
+	{Value: "chat", Label: "Chat"},
+	{Value: "completion", Label: "Completion"},
+	{Value: "edit", Label: "Edit"},
+	{Value: "embeddings", Label: "Embeddings"},
+	{Value: "rerank", Label: "Rerank"},
+	{Value: "image", Label: "Image"},
+	{Value: "transcript", Label: "Transcript"},
+	{Value: "tts", Label: "TTS"},
+	{Value: "sound_generation", Label: "Sound Generation"},
+	{Value: "tokenize", Label: "Tokenize"},
+	{Value: "vad", Label: "VAD"},
+	{Value: "video", Label: "Video"},
+	{Value: "detection", Label: "Detection"},
+}
+
+var DiffusersSchedulerOptions = []FieldOption{
+	{Value: "ddim", Label: "DDIM"},
+	{Value: "ddpm", Label: "DDPM"},
+	{Value: "pndm", Label: "PNDM"},
+	{Value: "lms", Label: "LMS"},
+	{Value: "euler", Label: "Euler"},
+	{Value: "euler_a", Label: "Euler A"},
+	{Value: "dpm_multistep", Label: "DPM Multistep"},
+	{Value: "dpm_singlestep", Label: "DPM Singlestep"},
+	{Value: "heun", Label: "Heun"},
+	{Value: "unipc", Label: "UniPC"},
+}

core/config/meta/reflect.go

@@ -0,0 +1,241 @@
+package meta
+
+import (
+	"reflect"
+	"strings"
+	"unicode"
+)
+
+// WalkModelConfig uses reflection to discover all exported, YAML-tagged fields
+// in the given struct type (expected to be config.ModelConfig) and returns a
+// slice of FieldMeta with sensible defaults derived from the type information.
+func WalkModelConfig(t reflect.Type) []FieldMeta {
+	if t.Kind() == reflect.Pointer {
+		t = t.Elem()
+	}
+	var fields []FieldMeta
+	walkStruct(t, "", &fields)
+	return fields
+}
+
+// walkStruct recursively walks a struct type, collecting FieldMeta entries.
+// prefix is the dot-path prefix for nested structs (e.g. "function.grammar.").
+func walkStruct(t reflect.Type, prefix string, out *[]FieldMeta) {
+	if t.Kind() == reflect.Pointer {
+		t = t.Elem()
+	}
+	if t.Kind() != reflect.Struct {
+		return
+	}
+
+	for sf := range t.Fields() {
+		if !sf.IsExported() {
+			continue
+		}
+
+		yamlTag := sf.Tag.Get("yaml")
+		if yamlTag == "-" {
+			continue
+		}
+
+		yamlKey, opts := parseTag(yamlTag)
+
+		// Handle inline embedding (e.g. LLMConfig `yaml:",inline"`)
+		if opts.contains("inline") {
+			ft := sf.Type
+			if ft.Kind() == reflect.Pointer {
+				ft = ft.Elem()
+			}
+			if ft.Kind() == reflect.Struct {
+				walkStruct(ft, prefix, out)
+			}
+			continue
+		}
+
+		// If no yaml key and it's an embedded struct without inline, skip unknown pattern
+		if yamlKey == "" {
+			ft := sf.Type
+			if ft.Kind() == reflect.Pointer {
+				ft = ft.Elem()
+			}
+			// Anonymous struct without yaml tag - treat as inline
+			if sf.Anonymous && ft.Kind() == reflect.Struct {
+				walkStruct(ft, prefix, out)
+				continue
+			}
+			// Named field without yaml tag - skip
+			continue
+		}
+
+		ft := sf.Type
+		isPtr := ft.Kind() == reflect.Pointer
+		if isPtr {
+			ft = ft.Elem()
+		}
+
+		// Named nested struct (not a special type) -> recurse with prefix
+		if ft.Kind() == reflect.Struct && !isSpecialType(ft) {
+			nestedPrefix := prefix + yamlKey + "."
+			walkStruct(ft, nestedPrefix, out)
+			continue
+		}
+
+		// Leaf field
+		path := prefix + yamlKey
+		goType := sf.Type.String()
+		uiType, component := inferUIType(sf.Type)
+		section := inferSection(prefix)
+		label := labelFromKey(yamlKey)
+
+		*out = append(*out, FieldMeta{
+			Path:      path,
+			YAMLKey:   yamlKey,
+			GoType:    goType,
+			UIType:    uiType,
+			Pointer:   isPtr,
+			Section:   section,
+			Label:     label,
+			Component: component,
+			Order:     len(*out),
+		})
+	}
+}
+
+// isSpecialType returns true for struct types that should be treated as leaf
+// values rather than recursed into (e.g. custom JSON marshalers).
+func isSpecialType(t reflect.Type) bool {
+	if t.Kind() == reflect.Pointer {
+		t = t.Elem()
+	}
+	name := t.Name()
+	// LogprobsValue, URI types are leaf values despite being structs
+	switch name {
+	case "LogprobsValue", "URI":
+		return true
+	}
+	return false
+}
+
+// inferUIType maps a Go reflect.Type to a UI type string and default component.
+func inferUIType(t reflect.Type) (uiType, component string) {
+	if t.Kind() == reflect.Pointer {
+		t = t.Elem()
+	}
+
+	switch t.Kind() {
+	case reflect.Bool:
+		return "bool", "toggle"
+	case reflect.Int, reflect.Int8, reflect.Int16, reflect.Int32, reflect.Int64:
+		return "int", "number"
+	case reflect.Uint, reflect.Uint8, reflect.Uint16, reflect.Uint32, reflect.Uint64:
+		return "int", "number"
+	case reflect.Float32, reflect.Float64:
+		return "float", "number"
+	case reflect.String:
+		return "string", "input"
+	case reflect.Slice:
+		elem := t.Elem()
+		if elem.Kind() == reflect.String {
+			return "[]string", "string-list"
+		}
+		if elem.Kind() == reflect.Pointer {
+			elem = elem.Elem()
+		}
+		if elem.Kind() == reflect.Struct {
+			return "[]object", "json-editor"
+		}
+		return "[]any", "json-editor"
+	case reflect.Map:
+		return "map", "map-editor"
+	case reflect.Struct:
+		// Special types treated as leaves
+		if isSpecialType(t) {
+			return "bool", "toggle" // LogprobsValue
+		}
+		return "object", "json-editor"
+	default:
+		return "any", "input"
+	}
+}
+
+// inferSection determines the config section from the dot-path prefix.
+func inferSection(prefix string) string {
+	if prefix == "" {
+		return "general"
+	}
+	// Remove trailing dot
+	p := strings.TrimSuffix(prefix, ".")
+
+	// Use the top-level prefix to determine section
+	parts := strings.SplitN(p, ".", 2)
+	top := parts[0]
+
+	switch top {
+	case "parameters":
+		return "parameters"
+	case "template":
+		return "templates"
+	case "function":
+		return "functions"
+	case "reasoning":
+		return "reasoning"
+	case "diffusers":
+		return "diffusers"
+	case "tts":
+		return "tts"
+	case "pipeline":
+		return "pipeline"
+	case "grpc":
+		return "grpc"
+	case "agent":
+		return "agent"
+	case "mcp":
+		return "mcp"
+	case "feature_flags":
+		return "other"
+	case "limit_mm_per_prompt":
+		return "llm"
+	default:
+		return "other"
+	}
+}
+
+// labelFromKey converts a yaml key like "context_size" to "Context Size".
+func labelFromKey(key string) string {
+	parts := strings.Split(key, "_")
+	for i, p := range parts {
+		if len(p) > 0 {
+			runes := []rune(p)
+			runes[0] = unicode.ToUpper(runes[0])
+			parts[i] = string(runes)
+		}
+	}
+	return strings.Join(parts, " ")
+}
+
+// tagOptions is a set of comma-separated yaml tag options.
+type tagOptions string
+
+func (o tagOptions) contains(optName string) bool {
+	s := string(o)
+	for s != "" {
+		var name string
+		if name, s, _ = strings.Cut(s, ","); name == optName {
+			return true
+		}
+	}
+	return false
+}
+
+// parseTag splits a yaml struct tag into the key name and options.
+func parseTag(tag string) (string, tagOptions) {
+	if tag == "" {
+		return "", ""
+	}
+	before, after, found := strings.Cut(tag, ",")
+	if found {
+		return before, tagOptions(after)
+	}
+	return tag, ""
+}
+

core/config/meta/reflect_test.go

@@ -0,0 +1,208 @@
+package meta_test
+
+import (
+	"reflect"
+	"testing"
+
+	"github.com/mudler/LocalAI/core/config"
+	"github.com/mudler/LocalAI/core/config/meta"
+)
+
+func TestWalkModelConfig(t *testing.T) {
+	fields := meta.WalkModelConfig(reflect.TypeOf(config.ModelConfig{}))
+	if len(fields) == 0 {
+		t.Fatal("expected fields from ModelConfig, got 0")
+	}
+
+	// Build a lookup by path
+	byPath := make(map[string]meta.FieldMeta, len(fields))
+	for _, f := range fields {
+		byPath[f.Path] = f
+	}
+
+	// Verify some top-level fields exist
+	for _, path := range []string{"name", "backend", "cuda", "step"} {
+		if _, ok := byPath[path]; !ok {
+			t.Errorf("expected field %q not found", path)
+		}
+	}
+
+	// Verify inline LLMConfig fields appear at top level (no prefix)
+	for _, path := range []string{"context_size", "gpu_layers", "threads", "mmap"} {
+		if _, ok := byPath[path]; !ok {
+			t.Errorf("expected inline LLMConfig field %q not found", path)
+		}
+	}
+
+	// Verify nested struct fields have correct prefix
+	for _, path := range []string{
+		"template.chat",
+		"template.completion",
+		"template.use_tokenizer_template",
+		"function.grammar.parallel_calls",
+		"function.grammar.mixed_mode",
+		"diffusers.pipeline_type",
+		"diffusers.cuda",
+		"pipeline.llm",
+		"pipeline.tts",
+		"reasoning.disable",
+		"agent.max_iterations",
+		"grpc.attempts",
+	} {
+		if _, ok := byPath[path]; !ok {
+			t.Errorf("expected nested field %q not found", path)
+		}
+	}
+
+	// Verify PredictionOptions fields have parameters. prefix
+	for _, path := range []string{
+		"parameters.temperature",
+		"parameters.top_p",
+		"parameters.top_k",
+		"parameters.max_tokens",
+		"parameters.seed",
+	} {
+		if _, ok := byPath[path]; !ok {
+			t.Errorf("expected parameters field %q not found", path)
+		}
+	}
+
+	// Verify TTSConfig fields have tts. prefix
+	if _, ok := byPath["tts.voice"]; !ok {
+		t.Error("expected tts.voice field not found")
+	}
+}
+
+func TestSkipsYAMLDashFields(t *testing.T) {
+	fields := meta.WalkModelConfig(reflect.TypeOf(config.ModelConfig{}))
+
+	byPath := make(map[string]meta.FieldMeta, len(fields))
+	for _, f := range fields {
+		byPath[f.Path] = f
+	}
+
+	// modelConfigFile has yaml:"-" tag, should be skipped
+	for _, f := range fields {
+		if f.Path == "modelConfigFile" || f.Path == "modelTemplate" {
+			t.Errorf("field %q should have been skipped (yaml:\"-\")", f.Path)
+		}
+	}
+}
+
+func TestTypeMapping(t *testing.T) {
+	fields := meta.WalkModelConfig(reflect.TypeOf(config.ModelConfig{}))
+
+	byPath := make(map[string]meta.FieldMeta, len(fields))
+	for _, f := range fields {
+		byPath[f.Path] = f
+	}
+
+	tests := []struct {
+		path    string
+		uiType  string
+		pointer bool
+	}{
+		{"name", "string", false},
+		{"cuda", "bool", false},
+		{"context_size", "int", true},
+		{"gpu_layers", "int", true},
+		{"threads", "int", true},
+		{"f16", "bool", true},
+		{"mmap", "bool", true},
+		{"stopwords", "[]string", false},
+		{"roles", "map", false},
+		{"parameters.temperature", "float", true},
+		{"parameters.top_k", "int", true},
+		{"function.grammar.parallel_calls", "bool", false},
+	}
+
+	for _, tt := range tests {
+		f, ok := byPath[tt.path]
+		if !ok {
+			t.Errorf("field %q not found", tt.path)
+			continue
+		}
+		if f.UIType != tt.uiType {
+			t.Errorf("field %q: expected UIType %q, got %q", tt.path, tt.uiType, f.UIType)
+		}
+		if f.Pointer != tt.pointer {
+			t.Errorf("field %q: expected Pointer=%v, got %v", tt.path, tt.pointer, f.Pointer)
+		}
+	}
+}
+
+func TestSectionAssignment(t *testing.T) {
+	fields := meta.WalkModelConfig(reflect.TypeOf(config.ModelConfig{}))
+
+	byPath := make(map[string]meta.FieldMeta, len(fields))
+	for _, f := range fields {
+		byPath[f.Path] = f
+	}
+
+	tests := []struct {
+		path    string
+		section string
+	}{
+		{"name", "general"},
+		{"backend", "general"},
+		{"context_size", "general"},   // inline LLMConfig -> no prefix -> general
+		{"parameters.temperature", "parameters"},
+		{"template.chat", "templates"},
+		{"function.grammar.parallel_calls", "functions"},
+		{"diffusers.cuda", "diffusers"},
+		{"pipeline.llm", "pipeline"},
+		{"reasoning.disable", "reasoning"},
+		{"agent.max_iterations", "agent"},
+		{"grpc.attempts", "grpc"},
+	}
+
+	for _, tt := range tests {
+		f, ok := byPath[tt.path]
+		if !ok {
+			t.Errorf("field %q not found", tt.path)
+			continue
+		}
+		if f.Section != tt.section {
+			t.Errorf("field %q: expected section %q, got %q", tt.path, tt.section, f.Section)
+		}
+	}
+}
+
+func TestLabelGeneration(t *testing.T) {
+	fields := meta.WalkModelConfig(reflect.TypeOf(config.ModelConfig{}))
+
+	byPath := make(map[string]meta.FieldMeta, len(fields))
+	for _, f := range fields {
+		byPath[f.Path] = f
+	}
+
+	tests := []struct {
+		path  string
+		label string
+	}{
+		{"context_size", "Context Size"},
+		{"gpu_layers", "Gpu Layers"},
+		{"name", "Name"},
+		{"cuda", "Cuda"},
+	}
+
+	for _, tt := range tests {
+		f, ok := byPath[tt.path]
+		if !ok {
+			t.Errorf("field %q not found", tt.path)
+			continue
+		}
+		if f.Label != tt.label {
+			t.Errorf("field %q: expected label %q, got %q", tt.path, tt.label, f.Label)
+		}
+	}
+}
+
+func TestFieldCount(t *testing.T) {
+	fields := meta.WalkModelConfig(reflect.TypeOf(config.ModelConfig{}))
+	// We expect a large number of fields (100+) given the config complexity
+	if len(fields) < 80 {
+		t.Errorf("expected at least 80 fields, got %d", len(fields))
+	}
+	t.Logf("Total fields discovered: %d", len(fields))
+}

core/config/meta/registry.go

@@ -0,0 +1,324 @@
+package meta
+
+// DefaultRegistry returns enrichment overrides for the ~30 most commonly used
+// config fields. Fields not listed here still appear with auto-generated
+// labels and type-inferred components.
+func DefaultRegistry() map[string]FieldMetaOverride {
+	f64 := func(v float64) *float64 { return &v }
+
+	return map[string]FieldMetaOverride{
+		// --- General ---
+		"name": {
+			Section:     "general",
+			Label:       "Model Name",
+			Description: "Unique identifier for this model configuration",
+			Component:   "input",
+			Order:       0,
+		},
+		"backend": {
+			Section:              "general",
+			Label:                "Backend",
+			Description:          "The inference backend to use (e.g. llama-cpp, vllm, diffusers)",
+			Component:            "select",
+			AutocompleteProvider: ProviderBackends,
+			Order:                1,
+		},
+		"description": {
+			Section:     "general",
+			Label:       "Description",
+			Description: "Human-readable description of what this model does",
+			Component:   "textarea",
+			Order:       2,
+		},
+		"usage": {
+			Section:     "general",
+			Label:       "Usage",
+			Description: "Usage instructions or notes",
+			Component:   "textarea",
+			Advanced:    true,
+			Order:       3,
+		},
+		"cuda": {
+			Section:     "general",
+			Label:       "CUDA",
+			Description: "Explicitly enable CUDA acceleration",
+			Order:       5,
+		},
+		"known_usecases": {
+			Section:     "general",
+			Label:       "Known Use Cases",
+			Description: "Capabilities this model supports",
+			Component:   "string-list",
+			Options:     UsecaseOptions,
+			Order:       6,
+		},
+
+		// --- LLM ---
+		"context_size": {
+			Section:     "llm",
+			Label:       "Context Size",
+			Description: "Maximum context window in tokens",
+			Component:   "number",
+			VRAMImpact:  true,
+			Order:       10,
+		},
+		"gpu_layers": {
+			Section:     "llm",
+			Label:       "GPU Layers",
+			Description: "Number of layers to offload to GPU (-1 = all)",
+			Component:   "number",
+			Min:         f64(-1),
+			VRAMImpact:  true,
+			Order:       11,
+		},
+		"threads": {
+			Section:     "llm",
+			Label:       "Threads",
+			Description: "Number of CPU threads for inference",
+			Component:   "number",
+			Min:         f64(1),
+			Order:       12,
+		},
+		"f16": {
+			Section:     "llm",
+			Label:       "F16",
+			Description: "Use 16-bit floating point for key/value cache",
+			Order:       13,
+		},
+		"mmap": {
+			Section:     "llm",
+			Label:       "Memory Map",
+			Description: "Use memory-mapped files for model loading",
+			Order:       14,
+		},
+		"mmlock": {
+			Section:     "llm",
+			Label:       "Memory Lock",
+			Description: "Lock model memory to prevent swapping",
+			Advanced:    true,
+			Order:       15,
+		},
+		"low_vram": {
+			Section:     "llm",
+			Label:       "Low VRAM",
+			Description: "Optimize for systems with limited GPU memory",
+			VRAMImpact:  true,
+			Order:       16,
+		},
+		"embeddings": {
+			Section:     "llm",
+			Label:       "Embeddings",
+			Description: "Enable embedding generation mode",
+			Order:       17,
+		},
+		"quantization": {
+			Section:     "llm",
+			Label:       "Quantization",
+			Description: "Quantization method (e.g. q4_0, q5_1, q8_0)",
+			Component:   "select",
+			Options:     QuantizationOptions,
+			Advanced:    true,
+			Order:       20,
+		},
+		"flash_attention": {
+			Section:     "llm",
+			Label:       "Flash Attention",
+			Description: "Enable flash attention for faster inference",
+			Component:   "input",
+			Advanced:    true,
+			Order:       21,
+		},
+		"cache_type_k": {
+			Section:     "llm",
+			Label:       "KV Cache Type (K)",
+			Description: "Quantization type for key cache (e.g. f16, q8_0, q4_0)",
+			Component:   "select",
+			Options:     CacheTypeOptions,
+			VRAMImpact:  true,
+			Advanced:    true,
+			Order:       22,
+		},
+		"cache_type_v": {
+			Section:     "llm",
+			Label:       "KV Cache Type (V)",
+			Description: "Quantization type for value cache",
+			Component:   "select",
+			Options:     CacheTypeOptions,
+			VRAMImpact:  true,
+			Advanced:    true,
+			Order:       23,
+		},
+
+		// --- Parameters ---
+		"parameters.temperature": {
+			Section:     "parameters",
+			Label:       "Temperature",
+			Description: "Sampling temperature (higher = more creative, lower = more deterministic)",
+			Component:   "slider",
+			Min:         f64(0),
+			Max:         f64(2),
+			Step:        f64(0.05),
+			Order:       30,
+		},
+		"parameters.top_p": {
+			Section:     "parameters",
+			Label:       "Top P",
+			Description: "Nucleus sampling threshold",
+			Component:   "slider",
+			Min:         f64(0),
+			Max:         f64(1),
+			Step:        f64(0.01),
+			Order:       31,
+		},
+		"parameters.top_k": {
+			Section:     "parameters",
+			Label:       "Top K",
+			Description: "Top-K sampling: consider only the K most likely tokens",
+			Component:   "number",
+			Min:         f64(0),
+			Order:       32,
+		},
+		"parameters.max_tokens": {
+			Section:     "parameters",
+			Label:       "Max Tokens",
+			Description: "Maximum number of tokens to generate (0 = unlimited)",
+			Component:   "number",
+			Min:         f64(0),
+			Order:       33,
+		},
+		"parameters.repeat_penalty": {
+			Section:     "parameters",
+			Label:       "Repeat Penalty",
+			Description: "Penalize repeated tokens (1.0 = no penalty)",
+			Component:   "number",
+			Min:         f64(0),
+			Advanced:    true,
+			Order:       34,
+		},
+		"parameters.seed": {
+			Section:     "parameters",
+			Label:       "Seed",
+			Description: "Random seed (-1 = random)",
+			Component:   "number",
+			Advanced:    true,
+			Order:       35,
+		},
+
+		// --- Templates ---
+		"template.chat": {
+			Section:     "templates",
+			Label:       "Chat Template",
+			Description: "Go template for chat completion requests",
+			Component:   "code-editor",
+			Order:       40,
+		},
+		"template.chat_message": {
+			Section:     "templates",
+			Label:       "Chat Message Template",
+			Description: "Go template for individual chat messages",
+			Component:   "code-editor",
+			Order:       41,
+		},
+		"template.completion": {
+			Section:     "templates",
+			Label:       "Completion Template",
+			Description: "Go template for completion requests",
+			Component:   "code-editor",
+			Order:       42,
+		},
+		"template.use_tokenizer_template": {
+			Section:     "templates",
+			Label:       "Use Tokenizer Template",
+			Description: "Use the chat template from the model's tokenizer config",
+			Order:       43,
+		},
+
+		// --- Pipeline ---
+		"pipeline.llm": {
+			Section:              "pipeline",
+			Label:                "LLM Model",
+			Description:          "Model to use for LLM inference in the pipeline",
+			Component:            "model-select",
+			AutocompleteProvider: ProviderModelsChat,
+			Order:                60,
+		},
+		"pipeline.tts": {
+			Section:              "pipeline",
+			Label:                "TTS Model",
+			Description:          "Model to use for text-to-speech in the pipeline",
+			Component:            "model-select",
+			AutocompleteProvider: ProviderModelsTTS,
+			Order:                61,
+		},
+		"pipeline.transcription": {
+			Section:              "pipeline",
+			Label:                "Transcription Model",
+			Description:          "Model to use for speech-to-text in the pipeline",
+			Component:            "model-select",
+			AutocompleteProvider: ProviderModelsTranscript,
+			Order:                62,
+		},
+		"pipeline.vad": {
+			Section:              "pipeline",
+			Label:                "VAD Model",
+			Description:          "Model to use for voice activity detection in the pipeline",
+			Component:            "model-select",
+			AutocompleteProvider: ProviderModelsVAD,
+			Order:                63,
+		},
+
+		// --- Functions ---
+		"function.grammar.parallel_calls": {
+			Section:     "functions",
+			Label:       "Parallel Calls",
+			Description: "Allow the LLM to return multiple function calls in one response",
+			Order:       70,
+		},
+		"function.grammar.mixed_mode": {
+			Section:     "functions",
+			Label:       "Mixed Mode",
+			Description: "Allow the LLM to return both text and function calls",
+			Order:       71,
+		},
+		"function.grammar.disable": {
+			Section:     "functions",
+			Label:       "Disable Grammar",
+			Description: "Disable grammar-constrained generation for function calls",
+			Advanced:    true,
+			Order:       72,
+		},
+
+		// --- TTS ---
+		"tts.voice": {
+			Section:     "tts",
+			Label:       "Voice",
+			Description: "Default voice for TTS output",
+			Component:   "input",
+			Order:       90,
+		},
+
+		// --- Diffusers ---
+		"diffusers.pipeline_type": {
+			Section:     "diffusers",
+			Label:       "Pipeline Type",
+			Description: "Diffusers pipeline type (e.g. StableDiffusionPipeline)",
+			Component:   "select",
+			Options:     DiffusersPipelineOptions,
+			Order:       80,
+		},
+		"diffusers.scheduler_type": {
+			Section:     "diffusers",
+			Label:       "Scheduler Type",
+			Description: "Noise scheduler type",
+			Component:   "select",
+			Options:     DiffusersSchedulerOptions,
+			Order:       81,
+		},
+		"diffusers.cuda": {
+			Section:     "diffusers",
+			Label:       "CUDA",
+			Description: "Enable CUDA for diffusers",
+			Order:       82,
+		},
+	}
+}

core/config/meta/types.go

@@ -0,0 +1,83 @@
+package meta
+
+// FieldMeta describes a single configuration field for UI rendering and agent discovery.
+type FieldMeta struct {
+	Path        string        `json:"path"`                  // dot-path: "context_size", "function.grammar.parallel_calls"
+	YAMLKey     string        `json:"yaml_key"`              // leaf yaml key
+	GoType      string        `json:"go_type"`               // "*int", "string", "[]string"
+	UIType      string        `json:"ui_type"`               // "string", "int", "float", "bool", "[]string", "map", "object"
+	Pointer     bool          `json:"pointer,omitempty"`     // true = nil means "not set"
+	Section     string        `json:"section"`               // "general", "llm", "templates", etc.
+	Label       string        `json:"label"`                 // human-readable label
+	Description string        `json:"description,omitempty"` // help text
+	Component   string        `json:"component"`             // "input", "number", "toggle", "select", "slider", etc.
+	Placeholder string        `json:"placeholder,omitempty"`
+	Default     any           `json:"default,omitempty"`
+	Min         *float64      `json:"min,omitempty"`
+	Max         *float64      `json:"max,omitempty"`
+	Step        *float64      `json:"step,omitempty"`
+	Options     []FieldOption `json:"options,omitempty"`
+
+	AutocompleteProvider string `json:"autocomplete_provider,omitempty"` // "backends", "models:chat", etc.
+	VRAMImpact           bool   `json:"vram_impact,omitempty"`
+	Advanced             bool   `json:"advanced,omitempty"`
+	Order                int    `json:"order"`
+}
+
+// FieldOption represents a choice in a select/enum field.
+type FieldOption struct {
+	Value string `json:"value"`
+	Label string `json:"label"`
+}
+
+// Section groups related fields in the UI.
+type Section struct {
+	ID    string `json:"id"`
+	Label string `json:"label"`
+	Icon  string `json:"icon,omitempty"`
+	Order int    `json:"order"`
+}
+
+// ConfigMetadata is the top-level response for the metadata API.
+type ConfigMetadata struct {
+	Sections []Section   `json:"sections"`
+	Fields   []FieldMeta `json:"fields"`
+}
+
+// FieldMetaOverride holds registry overrides that are merged on top of
+// the reflection-discovered defaults. Only non-zero fields override.
+type FieldMetaOverride struct {
+	Section              string
+	Label                string
+	Description          string
+	Component            string
+	Placeholder          string
+	Default              any
+	Min                  *float64
+	Max                  *float64
+	Step                 *float64
+	Options              []FieldOption
+	AutocompleteProvider string
+	VRAMImpact           bool
+	Advanced             bool
+	Order                int
+}
+
+// DefaultSections defines the well-known config sections in display order.
+func DefaultSections() []Section {
+	return []Section{
+		{ID: "general", Label: "General", Icon: "settings", Order: 0},
+		{ID: "llm", Label: "LLM", Icon: "cpu", Order: 10},
+		{ID: "parameters", Label: "Parameters", Icon: "sliders", Order: 20},
+		{ID: "templates", Label: "Templates", Icon: "file-text", Order: 30},
+		{ID: "functions", Label: "Functions / Tools", Icon: "tool", Order: 40},
+		{ID: "reasoning", Label: "Reasoning", Icon: "brain", Order: 45},
+		{ID: "diffusers", Label: "Diffusers", Icon: "image", Order: 50},
+		{ID: "tts", Label: "TTS", Icon: "volume-2", Order: 55},
+		{ID: "pipeline", Label: "Pipeline", Icon: "git-merge", Order: 60},
+		{ID: "grpc", Label: "gRPC", Icon: "server", Order: 65},
+		{ID: "agent", Label: "Agent", Icon: "bot", Order: 70},
+		{ID: "mcp", Label: "MCP", Icon: "plug", Order: 75},
+		{ID: "other", Label: "Other", Icon: "more-horizontal", Order: 100},
+	}
+}

core/config/model_config.go

@@ -77,6 +77,8 @@ type ModelConfig struct {
 
 	Description string `yaml:"description,omitempty" json:"description,omitempty"`
 	Usage       string `yaml:"usage,omitempty" json:"usage,omitempty"`
+	Disabled    *bool  `yaml:"disabled,omitempty" json:"disabled,omitempty"`
+	Pinned      *bool  `yaml:"pinned,omitempty" json:"pinned,omitempty"`
 
 	Options   []string `yaml:"options,omitempty" json:"options,omitempty"`
 	Overrides []string `yaml:"overrides,omitempty" json:"overrides,omitempty"`
@@ -548,6 +550,16 @@ func (c *ModelConfig) GetModelTemplate() string {
 	return c.modelTemplate
 }
 
+// IsDisabled returns true if the model is disabled
+func (c *ModelConfig) IsDisabled() bool {
+	return c.Disabled != nil && *c.Disabled
+}
+
+// IsPinned returns true if the model is pinned (excluded from idle unloading and eviction)
+func (c *ModelConfig) IsPinned() bool {
+	return c.Pinned != nil && *c.Pinned
+}
+
 type ModelConfigUsecase int
 
 const (
@@ -705,7 +717,8 @@ func (c *ModelConfig) GuessUsecases(u ModelConfigUsecase) bool {
 	}
 
 	if (u & FLAG_DETECTION) == FLAG_DETECTION {
-		if c.Backend != "rfdetr" {
+		detectionBackends := []string{"rfdetr", "sam3-cpp"}
+		if !slices.Contains(detectionBackends, c.Backend) {
 			return false
 		}
 	}

core/config/runtime_settings.go

@@ -20,6 +20,7 @@ type RuntimeSettings struct {
 	// Backend management
 	SingleBackend           *bool `json:"single_backend,omitempty"`      // Deprecated: use MaxActiveBackends = 1 instead
 	MaxActiveBackends       *int  `json:"max_active_backends,omitempty"` // Maximum number of active backends (0 = unlimited, 1 = single backend mode)
+	AutoUpgradeBackends     *bool `json:"auto_upgrade_backends,omitempty"` // Automatically upgrade backends when new versions are detected
 	// Memory Reclaimer settings (works with GPU if available, otherwise RAM)
 	MemoryReclaimerEnabled   *bool    `json:"memory_reclaimer_enabled,omitempty"`   // Enable memory threshold monitoring
 	MemoryReclaimerThreshold *float64 `json:"memory_reclaimer_threshold,omitempty"` // Threshold 0.0-1.0 (e.g., 0.95 = 95%)

core/gallery/backend_types.go

@@ -20,12 +20,19 @@ type BackendMetadata struct {
 	GalleryURL string `json:"gallery_url,omitempty"`
 	// InstalledAt is the timestamp when the backend was installed
 	InstalledAt string `json:"installed_at,omitempty"`
+	// Version is the version of the backend at install time
+	Version string `json:"version,omitempty"`
+	// URI is the original URI used to install the backend
+	URI string `json:"uri,omitempty"`
+	// Digest is the OCI image digest at install time (for upgrade detection)
+	Digest string `json:"digest,omitempty"`
 }
 
 type GalleryBackend struct {
 	Metadata        `json:",inline" yaml:",inline"`
 	Alias           string            `json:"alias,omitempty" yaml:"alias,omitempty"`
 	URI             string            `json:"uri,omitempty" yaml:"uri,omitempty"`
+	Version         string            `json:"version,omitempty" yaml:"version,omitempty"`
 	Mirrors         []string          `json:"mirrors,omitempty" yaml:"mirrors,omitempty"`
 	CapabilitiesMap map[string]string `json:"capabilities,omitempty" yaml:"capabilities,omitempty"`
 }
@@ -71,6 +78,10 @@ func (m *GalleryBackend) IsCompatibleWith(systemState *system.SystemState) bool
 		return true
 	}
 
+	if systemState.CapabilityFilterDisabled() {
+		return true
+	}
+
 	// Meta backends are compatible if the system capability matches one of the keys
 	if m.IsMeta() {
 		capability := systemState.Capability(m.CapabilitiesMap)

core/gallery/backends.go

@@ -15,6 +15,7 @@ import (
 	"github.com/mudler/LocalAI/core/config"
 	"github.com/mudler/LocalAI/pkg/downloader"
 	"github.com/mudler/LocalAI/pkg/model"
+	"github.com/mudler/LocalAI/pkg/oci"
 	"github.com/mudler/LocalAI/pkg/system"
 	"github.com/mudler/xlog"
 	cp "github.com/otiai10/copy"
@@ -158,6 +159,7 @@ func InstallBackendFromGallery(ctx context.Context, galleries []config.Gallery,
 			Name:           name,
 			GalleryURL:     backend.Gallery.URL,
 			InstalledAt:    time.Now().Format(time.RFC3339),
+			Version:        bestBackend.Version,
 		}
 
 		if err := writeBackendMetadata(metaBackendPath, metaMetadata); err != nil {
@@ -279,6 +281,18 @@ func InstallBackend(ctx context.Context, systemState *system.SystemState, modelL
 		Name:        name,
 		GalleryURL:  config.Gallery.URL,
 		InstalledAt: time.Now().Format(time.RFC3339),
+		Version:     config.Version,
+		URI:         string(uri),
+	}
+
+	// Record the OCI digest for upgrade detection (non-fatal on failure)
+	if uri.LooksLikeOCI() {
+		digest, digestErr := oci.GetImageDigest(string(uri), "", nil, nil)
+		if digestErr != nil {
+			xlog.Warn("Failed to get OCI image digest for backend", "uri", string(uri), "error", digestErr)
+		} else {
+			metadata.Digest = digest
+		}
 	}
 
 	if config.Alias != "" {
@@ -300,14 +314,29 @@ func DeleteBackendFromSystem(systemState *system.SystemState, name string) error
 
 	backend, ok := backends.Get(name)
 	if !ok {
-		return fmt.Errorf("backend %q: %w", name, ErrBackendNotFound)
+		// Not found by direct key — try matching by gallery name (metadata.Name)
+		// The UI may send gallery-style names like "localai@llama-cpp" which
+		// don't match the directory-based keys used in the backends map.
+		for _, b := range backends {
+			if b.Metadata != nil && b.Metadata.Name == name && !b.IsMeta {
+				backend = b
+				ok = true
+				break
+			}
+		}
+		if !ok {
+			return fmt.Errorf("backend %q: %w", name, ErrBackendNotFound)
+		}
 	}
 
 	if backend.IsSystem {
 		return fmt.Errorf("system backend %q cannot be deleted", name)
 	}
 
-	backendDirectory := filepath.Join(systemState.Backend.BackendsPath, name)
+	// Use the backend's actual Name (directory key) for path resolution,
+	// not the caller-supplied name which may be a gallery-style name.
+	dirName := backend.Name
+	backendDirectory := filepath.Join(systemState.Backend.BackendsPath, dirName)
 
 	// check if the backend dir exists
 	if _, err := os.Stat(backendDirectory); os.IsNotExist(err) {
@@ -325,7 +354,7 @@ func DeleteBackendFromSystem(systemState *system.SystemState, name string) error
 				if err != nil {
 					return err
 				}
-				if metadata != nil && metadata.Alias == name {
+				if metadata != nil && (metadata.Alias == name || metadata.Alias == dirName) {
 					backendDirectory = filepath.Join(systemState.Backend.BackendsPath, backend.Name())
 					foundBackend = true
 					break
@@ -358,11 +387,13 @@ func DeleteBackendFromSystem(systemState *system.SystemState, name string) error
 }
 
 type SystemBackend struct {
-	Name     string
+	Name             string
-	RunFile  string
+	RunFile          string
-	IsMeta   bool
+	IsMeta           bool
-	IsSystem bool
+	IsSystem         bool
-	Metadata *BackendMetadata
+	Metadata         *BackendMetadata
+	UpgradeAvailable bool   `json:"upgrade_available,omitempty"`
+	AvailableVersion string `json:"available_version,omitempty"`
 }
 
 type SystemBackends map[string]SystemBackend

core/gallery/backends_version_test.go

@@ -0,0 +1,118 @@
+package gallery_test
+
+import (
+	"context"
+	"encoding/json"
+	"os"
+	"path/filepath"
+
+	"github.com/mudler/LocalAI/core/gallery"
+	"github.com/mudler/LocalAI/pkg/model"
+	"github.com/mudler/LocalAI/pkg/system"
+	. "github.com/onsi/ginkgo/v2"
+	. "github.com/onsi/gomega"
+)
+
+var _ = Describe("Backend versioning", func() {
+	var tempDir string
+	var systemState *system.SystemState
+	var modelLoader *model.ModelLoader
+
+	BeforeEach(func() {
+		var err error
+		tempDir, err = os.MkdirTemp("", "gallery-version-*")
+		Expect(err).NotTo(HaveOccurred())
+
+		systemState, err = system.GetSystemState(
+			system.WithBackendPath(tempDir),
+		)
+		Expect(err).NotTo(HaveOccurred())
+		modelLoader = model.NewModelLoader(systemState)
+	})
+
+	AfterEach(func() {
+		os.RemoveAll(tempDir)
+	})
+
+	It("records version in metadata when installing a backend with a version", func() {
+		// Create a fake backend source directory with a run.sh
+		srcDir, err := os.MkdirTemp("", "gallery-version-src-*")
+		Expect(err).NotTo(HaveOccurred())
+		defer os.RemoveAll(srcDir)
+		err = os.WriteFile(filepath.Join(srcDir, "run.sh"), []byte("#!/bin/sh\necho ok"), 0755)
+		Expect(err).NotTo(HaveOccurred())
+
+		backend := &gallery.GalleryBackend{}
+		backend.Name = "test-backend"
+		backend.URI = srcDir
+		backend.Version = "1.2.3"
+
+		err = gallery.InstallBackend(context.Background(), systemState, modelLoader, backend, nil)
+		Expect(err).NotTo(HaveOccurred())
+
+		// Read the metadata file and check version
+		metadataPath := filepath.Join(tempDir, "test-backend", "metadata.json")
+		data, err := os.ReadFile(metadataPath)
+		Expect(err).NotTo(HaveOccurred())
+
+		var metadata map[string]any
+		err = json.Unmarshal(data, &metadata)
+		Expect(err).NotTo(HaveOccurred())
+
+		Expect(metadata["version"]).To(Equal("1.2.3"))
+	})
+
+	It("records URI in metadata", func() {
+		srcDir, err := os.MkdirTemp("", "gallery-version-src-*")
+		Expect(err).NotTo(HaveOccurred())
+		defer os.RemoveAll(srcDir)
+		err = os.WriteFile(filepath.Join(srcDir, "run.sh"), []byte("#!/bin/sh\necho ok"), 0755)
+		Expect(err).NotTo(HaveOccurred())
+
+		backend := &gallery.GalleryBackend{}
+		backend.Name = "test-backend-uri"
+		backend.URI = srcDir
+		backend.Version = "2.0.0"
+
+		err = gallery.InstallBackend(context.Background(), systemState, modelLoader, backend, nil)
+		Expect(err).NotTo(HaveOccurred())
+
+		metadataPath := filepath.Join(tempDir, "test-backend-uri", "metadata.json")
+		data, err := os.ReadFile(metadataPath)
+		Expect(err).NotTo(HaveOccurred())
+
+		var metadata map[string]any
+		err = json.Unmarshal(data, &metadata)
+		Expect(err).NotTo(HaveOccurred())
+
+		Expect(metadata["uri"]).To(Equal(srcDir))
+	})
+
+	It("omits version key when version is empty", func() {
+		srcDir, err := os.MkdirTemp("", "gallery-version-src-*")
+		Expect(err).NotTo(HaveOccurred())
+		defer os.RemoveAll(srcDir)
+		err = os.WriteFile(filepath.Join(srcDir, "run.sh"), []byte("#!/bin/sh\necho ok"), 0755)
+		Expect(err).NotTo(HaveOccurred())
+
+		backend := &gallery.GalleryBackend{}
+		backend.Name = "test-backend-noversion"
+		backend.URI = srcDir
+		// Version intentionally left empty
+
+		err = gallery.InstallBackend(context.Background(), systemState, modelLoader, backend, nil)
+		Expect(err).NotTo(HaveOccurred())
+
+		metadataPath := filepath.Join(tempDir, "test-backend-noversion", "metadata.json")
+		data, err := os.ReadFile(metadataPath)
+		Expect(err).NotTo(HaveOccurred())
+
+		var metadata map[string]any
+		err = json.Unmarshal(data, &metadata)
+		Expect(err).NotTo(HaveOccurred())
+
+		// omitempty should exclude the version key entirely
+		_, hasVersion := metadata["version"]
+		Expect(hasVersion).To(BeFalse())
+	})
+})

core/gallery/upgrade.go

@@ -0,0 +1,237 @@
+package gallery
+
+import (
+	"context"
+	"fmt"
+	"os"
+	"path/filepath"
+	"time"
+
+	"github.com/mudler/LocalAI/core/config"
+	"github.com/mudler/LocalAI/pkg/downloader"
+	"github.com/mudler/LocalAI/pkg/model"
+	"github.com/mudler/LocalAI/pkg/oci"
+	"github.com/mudler/LocalAI/pkg/system"
+	"github.com/mudler/xlog"
+	cp "github.com/otiai10/copy"
+)
+
+// UpgradeInfo holds details about an available backend upgrade.
+type UpgradeInfo struct {
+	BackendName      string `json:"backend_name"`
+	InstalledVersion string `json:"installed_version"`
+	AvailableVersion string `json:"available_version"`
+	InstalledDigest  string `json:"installed_digest,omitempty"`
+	AvailableDigest  string `json:"available_digest,omitempty"`
+}
+
+// CheckBackendUpgrades compares installed backends against gallery entries
+// and returns a map of backend names to UpgradeInfo for those that have
+// newer versions or different OCI digests available.
+func CheckBackendUpgrades(ctx context.Context, galleries []config.Gallery, systemState *system.SystemState) (map[string]UpgradeInfo, error) {
+	galleryBackends, err := AvailableBackends(galleries, systemState)
+	if err != nil {
+		return nil, fmt.Errorf("failed to list available backends: %w", err)
+	}
+
+	installedBackends, err := ListSystemBackends(systemState)
+	if err != nil {
+		return nil, fmt.Errorf("failed to list installed backends: %w", err)
+	}
+
+	result := make(map[string]UpgradeInfo)
+
+	for _, installed := range installedBackends {
+		// Skip system backends — they are managed outside the gallery
+		if installed.IsSystem {
+			continue
+		}
+		if installed.Metadata == nil {
+			continue
+		}
+
+		// Find matching gallery entry by metadata name
+		galleryEntry := FindGalleryElement(galleryBackends, installed.Metadata.Name)
+		if galleryEntry == nil {
+			continue
+		}
+
+		installedVersion := installed.Metadata.Version
+		galleryVersion := galleryEntry.Version
+
+		// If both sides have versions, compare them
+		if galleryVersion != "" && installedVersion != "" {
+			if galleryVersion != installedVersion {
+				result[installed.Metadata.Name] = UpgradeInfo{
+					BackendName:      installed.Metadata.Name,
+					InstalledVersion: installedVersion,
+					AvailableVersion: galleryVersion,
+				}
+			}
+			// Versions match — no upgrade needed
+			continue
+		}
+
+		// Gallery has a version but installed doesn't — this happens for backends
+		// installed before version tracking was added. Flag as upgradeable so
+		// users can re-install to pick up version metadata.
+		if galleryVersion != "" && installedVersion == "" {
+			result[installed.Metadata.Name] = UpgradeInfo{
+				BackendName:      installed.Metadata.Name,
+				InstalledVersion: "",
+				AvailableVersion: galleryVersion,
+			}
+			continue
+		}
+
+		// Fall back to OCI digest comparison when versions are unavailable
+		if downloader.URI(galleryEntry.URI).LooksLikeOCI() {
+			remoteDigest, err := oci.GetImageDigest(galleryEntry.URI, "", nil, nil)
+			if err != nil {
+				xlog.Warn("Failed to get remote OCI digest for upgrade check", "backend", installed.Metadata.Name, "error", err)
+				continue
+			}
+			// If we have a stored digest, compare; otherwise any remote digest
+			// means we can't confirm we're up to date — flag as upgradeable
+			if installed.Metadata.Digest == "" || remoteDigest != installed.Metadata.Digest {
+				result[installed.Metadata.Name] = UpgradeInfo{
+					BackendName:     installed.Metadata.Name,
+					InstalledDigest: installed.Metadata.Digest,
+					AvailableDigest: remoteDigest,
+				}
+			}
+		}
+		// No version info and non-OCI URI — cannot determine, skip
+	}
+
+	return result, nil
+}
+
+// UpgradeBackend upgrades a single backend to the latest gallery version using
+// an atomic swap with backup-based rollback on failure.
+func UpgradeBackend(ctx context.Context, systemState *system.SystemState, modelLoader *model.ModelLoader, galleries []config.Gallery, backendName string, downloadStatus func(string, string, string, float64)) error {
+	// Look up the installed backend
+	installedBackends, err := ListSystemBackends(systemState)
+	if err != nil {
+		return fmt.Errorf("failed to list installed backends: %w", err)
+	}
+
+	installed, ok := installedBackends.Get(backendName)
+	if !ok {
+		return fmt.Errorf("backend %q: %w", backendName, ErrBackendNotFound)
+	}
+
+	if installed.IsSystem {
+		return fmt.Errorf("system backend %q cannot be upgraded via gallery", backendName)
+	}
+
+	// If this is a meta backend, recursively upgrade the concrete backend it points to
+	if installed.Metadata != nil && installed.Metadata.MetaBackendFor != "" {
+		xlog.Info("Meta backend detected, upgrading concrete backend", "meta", backendName, "concrete", installed.Metadata.MetaBackendFor)
+		return UpgradeBackend(ctx, systemState, modelLoader, galleries, installed.Metadata.MetaBackendFor, downloadStatus)
+	}
+
+	// Find the gallery entry
+	galleryBackends, err := AvailableBackends(galleries, systemState)
+	if err != nil {
+		return fmt.Errorf("failed to list available backends: %w", err)
+	}
+
+	galleryEntry := FindGalleryElement(galleryBackends, backendName)
+	if galleryEntry == nil {
+		return fmt.Errorf("no gallery entry found for backend %q", backendName)
+	}
+
+	backendPath := filepath.Join(systemState.Backend.BackendsPath, backendName)
+	tmpPath := backendPath + ".upgrade-tmp"
+	backupPath := backendPath + ".backup"
+
+	// Clean up any stale tmp/backup dirs from prior attempts
+	os.RemoveAll(tmpPath)
+	os.RemoveAll(backupPath)
+
+	// Step 1: Download the new backend into the tmp directory
+	if err := os.MkdirAll(tmpPath, 0750); err != nil {
+		return fmt.Errorf("failed to create upgrade tmp dir: %w", err)
+	}
+
+	uri := downloader.URI(galleryEntry.URI)
+	if uri.LooksLikeDir() {
+		if err := cp.Copy(string(uri), tmpPath); err != nil {
+			os.RemoveAll(tmpPath)
+			return fmt.Errorf("failed to copy backend from directory: %w", err)
+		}
+	} else {
+		if err := uri.DownloadFileWithContext(ctx, tmpPath, "", 1, 1, downloadStatus); err != nil {
+			os.RemoveAll(tmpPath)
+			return fmt.Errorf("failed to download backend: %w", err)
+		}
+	}
+
+	// Step 2: Validate — check that run.sh exists in the new content
+	newRunFile := filepath.Join(tmpPath, runFile)
+	if _, err := os.Stat(newRunFile); os.IsNotExist(err) {
+		os.RemoveAll(tmpPath)
+		return fmt.Errorf("upgrade validation failed: run.sh not found in new backend")
+	}
+
+	// Step 3: Atomic swap — rename current to backup, then tmp to current
+	if err := os.Rename(backendPath, backupPath); err != nil {
+		os.RemoveAll(tmpPath)
+		return fmt.Errorf("failed to move current backend to backup: %w", err)
+	}
+
+	if err := os.Rename(tmpPath, backendPath); err != nil {
+		// Restore backup on failure
+		xlog.Error("Failed to move new backend into place, restoring backup", "error", err)
+		if restoreErr := os.Rename(backupPath, backendPath); restoreErr != nil {
+			xlog.Error("Failed to restore backup", "error", restoreErr)
+		}
+		os.RemoveAll(tmpPath)
+		return fmt.Errorf("failed to move new backend into place: %w", err)
+	}
+
+	// Step 4: Write updated metadata, preserving alias from old metadata
+	var oldAlias string
+	if installed.Metadata != nil {
+		oldAlias = installed.Metadata.Alias
+	}
+
+	newMetadata := &BackendMetadata{
+		Name:        backendName,
+		Version:     galleryEntry.Version,
+		URI:         galleryEntry.URI,
+		InstalledAt: time.Now().Format(time.RFC3339),
+		Alias:       oldAlias,
+	}
+
+	if galleryEntry.Gallery.URL != "" {
+		newMetadata.GalleryURL = galleryEntry.Gallery.URL
+	}
+
+	// Record OCI digest if applicable (non-fatal on failure)
+	if uri.LooksLikeOCI() {
+		digest, digestErr := oci.GetImageDigest(galleryEntry.URI, "", nil, nil)
+		if digestErr != nil {
+			xlog.Warn("Failed to get OCI image digest after upgrade", "uri", galleryEntry.URI, "error", digestErr)
+		} else {
+			newMetadata.Digest = digest
+		}
+	}
+
+	if err := writeBackendMetadata(backendPath, newMetadata); err != nil {
+		// Metadata write failure is not worth rolling back the entire upgrade
+		xlog.Error("Failed to write metadata after upgrade", "error", err)
+	}
+
+	// Step 5: Re-register backends so the model loader picks up any changes
+	if err := RegisterBackends(systemState, modelLoader); err != nil {
+		xlog.Warn("Failed to re-register backends after upgrade", "error", err)
+	}
+
+	// Step 6: Remove backup
+	os.RemoveAll(backupPath)
+
+	xlog.Info("Backend upgraded successfully", "backend", backendName, "version", galleryEntry.Version)
+	return nil
+}

core/gallery/upgrade_test.go

@@ -0,0 +1,219 @@
+package gallery_test
+
+import (
+	"context"
+	"encoding/json"
+	"os"
+	"path/filepath"
+	"time"
+
+	"github.com/mudler/LocalAI/core/config"
+	. "github.com/mudler/LocalAI/core/gallery"
+	"github.com/mudler/LocalAI/pkg/model"
+	"github.com/mudler/LocalAI/pkg/system"
+	. "github.com/onsi/ginkgo/v2"
+	. "github.com/onsi/gomega"
+	"gopkg.in/yaml.v3"
+)
+
+var _ = Describe("Upgrade Detection and Execution", func() {
+	var (
+		tempDir      string
+		backendsPath string
+		galleryPath  string
+		systemState  *system.SystemState
+		galleries    []config.Gallery
+	)
+
+	// installBackendWithVersion creates a fake installed backend directory with
+	// the given name, version, and optional run.sh content.
+	installBackendWithVersion := func(name, version string, runContent ...string) {
+		dir := filepath.Join(backendsPath, name)
+		Expect(os.MkdirAll(dir, 0750)).To(Succeed())
+
+		content := "#!/bin/sh\necho ok"
+		if len(runContent) > 0 {
+			content = runContent[0]
+		}
+		Expect(os.WriteFile(filepath.Join(dir, "run.sh"), []byte(content), 0755)).To(Succeed())
+
+		metadata := BackendMetadata{
+			Name:        name,
+			Version:     version,
+			InstalledAt: time.Now().Format(time.RFC3339),
+		}
+		data, err := json.MarshalIndent(metadata, "", "  ")
+		Expect(err).NotTo(HaveOccurred())
+		Expect(os.WriteFile(filepath.Join(dir, "metadata.json"), data, 0644)).To(Succeed())
+	}
+
+	// writeGalleryYAML writes a gallery YAML file with the given backends.
+	writeGalleryYAML := func(backends []GalleryBackend) {
+		data, err := yaml.Marshal(backends)
+		Expect(err).NotTo(HaveOccurred())
+		Expect(os.WriteFile(galleryPath, data, 0644)).To(Succeed())
+	}
+
+	BeforeEach(func() {
+		var err error
+		tempDir, err = os.MkdirTemp("", "upgrade-test-*")
+		Expect(err).NotTo(HaveOccurred())
+
+		backendsPath = tempDir
+
+		galleryPath = filepath.Join(tempDir, "gallery.yaml")
+
+		// Write a default empty gallery
+		writeGalleryYAML([]GalleryBackend{})
+
+		galleries = []config.Gallery{
+			{
+				Name: "test-gallery",
+				URL:  "file://" + galleryPath,
+			},
+		}
+
+		systemState, err = system.GetSystemState(
+			system.WithBackendPath(backendsPath),
+		)
+		Expect(err).NotTo(HaveOccurred())
+	})
+
+	AfterEach(func() {
+		os.RemoveAll(tempDir)
+	})
+
+	Describe("CheckBackendUpgrades", func() {
+		It("should detect upgrade when gallery version differs from installed version", func() {
+			// Install a backend at v1.0.0
+			installBackendWithVersion("my-backend", "1.0.0")
+
+			// Gallery advertises v2.0.0
+			writeGalleryYAML([]GalleryBackend{
+				{
+					Metadata: Metadata{
+						Name: "my-backend",
+					},
+					URI:     filepath.Join(tempDir, "some-source"),
+					Version: "2.0.0",
+				},
+			})
+
+			upgrades, err := CheckBackendUpgrades(context.Background(), galleries, systemState)
+			Expect(err).NotTo(HaveOccurred())
+			Expect(upgrades).To(HaveKey("my-backend"))
+			Expect(upgrades["my-backend"].InstalledVersion).To(Equal("1.0.0"))
+			Expect(upgrades["my-backend"].AvailableVersion).To(Equal("2.0.0"))
+		})
+
+		It("should NOT flag upgrade when versions match", func() {
+			installBackendWithVersion("my-backend", "2.0.0")
+
+			writeGalleryYAML([]GalleryBackend{
+				{
+					Metadata: Metadata{
+						Name: "my-backend",
+					},
+					URI:     filepath.Join(tempDir, "some-source"),
+					Version: "2.0.0",
+				},
+			})
+
+			upgrades, err := CheckBackendUpgrades(context.Background(), galleries, systemState)
+			Expect(err).NotTo(HaveOccurred())
+			Expect(upgrades).To(BeEmpty())
+		})
+
+		It("should skip backends without version info and without OCI digest", func() {
+			// Install without version
+			installBackendWithVersion("my-backend", "")
+
+			// Gallery also without version
+			writeGalleryYAML([]GalleryBackend{
+				{
+					Metadata: Metadata{
+						Name: "my-backend",
+					},
+					URI: filepath.Join(tempDir, "some-source"),
+				},
+			})
+
+			upgrades, err := CheckBackendUpgrades(context.Background(), galleries, systemState)
+			Expect(err).NotTo(HaveOccurred())
+			Expect(upgrades).To(BeEmpty())
+		})
+	})
+
+	Describe("UpgradeBackend", func() {
+		It("should replace backend directory and update metadata", func() {
+			// Install v1
+			installBackendWithVersion("my-backend", "1.0.0", "#!/bin/sh\necho v1")
+
+			// Create a source directory with v2 content
+			srcDir := filepath.Join(tempDir, "v2-source")
+			Expect(os.MkdirAll(srcDir, 0750)).To(Succeed())
+			Expect(os.WriteFile(filepath.Join(srcDir, "run.sh"), []byte("#!/bin/sh\necho v2"), 0755)).To(Succeed())
+
+			// Gallery points to the v2 source dir
+			writeGalleryYAML([]GalleryBackend{
+				{
+					Metadata: Metadata{
+						Name: "my-backend",
+					},
+					URI:     srcDir,
+					Version: "2.0.0",
+				},
+			})
+
+			ml := model.NewModelLoader(systemState)
+			err := UpgradeBackend(context.Background(), systemState, ml, galleries, "my-backend", nil)
+			Expect(err).NotTo(HaveOccurred())
+
+			// Verify run.sh was updated
+			content, err := os.ReadFile(filepath.Join(backendsPath, "my-backend", "run.sh"))
+			Expect(err).NotTo(HaveOccurred())
+			Expect(string(content)).To(Equal("#!/bin/sh\necho v2"))
+
+			// Verify metadata was updated
+			metaData, err := os.ReadFile(filepath.Join(backendsPath, "my-backend", "metadata.json"))
+			Expect(err).NotTo(HaveOccurred())
+			var meta BackendMetadata
+			Expect(json.Unmarshal(metaData, &meta)).To(Succeed())
+			Expect(meta.Version).To(Equal("2.0.0"))
+			Expect(meta.Name).To(Equal("my-backend"))
+		})
+
+		It("should restore backup on failure", func() {
+			// Install v1
+			installBackendWithVersion("my-backend", "1.0.0", "#!/bin/sh\necho v1")
+
+			// Gallery points to a nonexistent path (no run.sh will be found)
+			nonExistentDir := filepath.Join(tempDir, "does-not-exist")
+			writeGalleryYAML([]GalleryBackend{
+				{
+					Metadata: Metadata{
+						Name: "my-backend",
+					},
+					URI:     nonExistentDir,
+					Version: "2.0.0",
+				},
+			})
+
+			ml := model.NewModelLoader(systemState)
+			err := UpgradeBackend(context.Background(), systemState, ml, galleries, "my-backend", nil)
+			Expect(err).To(HaveOccurred())
+
+			// Verify v1 is still intact
+			content, err := os.ReadFile(filepath.Join(backendsPath, "my-backend", "run.sh"))
+			Expect(err).NotTo(HaveOccurred())
+			Expect(string(content)).To(Equal("#!/bin/sh\necho v1"))
+
+			// Verify metadata still says v1
+			metaData, err := os.ReadFile(filepath.Join(backendsPath, "my-backend", "metadata.json"))
+			Expect(err).NotTo(HaveOccurred())
+			var meta BackendMetadata
+			Expect(json.Unmarshal(metaData, &meta)).To(Succeed())
+			Expect(meta.Version).To(Equal("1.0.0"))
+		})
+	})
+})

core/http/app.go

@@ -52,9 +52,42 @@ var quietPaths = []string{"/api/operations", "/api/resources", "/healthz", "/rea
 // @license.name MIT
 // @license.url https://raw.githubusercontent.com/mudler/LocalAI/master/LICENSE
 // @BasePath /
+// @schemes http https
 // @securityDefinitions.apikey BearerAuth
 // @in header
 // @name Authorization
+// @tag.name inference
+// @tag.description Chat completions, text completions, edits, and responses (OpenAI-compatible)
+// @tag.name embeddings
+// @tag.description Vector embeddings (OpenAI-compatible)
+// @tag.name audio
+// @tag.description Text-to-speech, transcription, voice activity detection, sound generation
+// @tag.name images
+// @tag.description Image generation and inpainting
+// @tag.name video
+// @tag.description Video generation from prompts
+// @tag.name detection
+// @tag.description Object detection in images
+// @tag.name tokenize
+// @tag.description Tokenization and token metrics
+// @tag.name models
+// @tag.description Model gallery browsing, installation, deletion, and listing
+// @tag.name backends
+// @tag.description Backend gallery browsing, installation, deletion, and listing
+// @tag.name config
+// @tag.description Model configuration metadata, autocomplete, PATCH updates, VRAM estimation
+// @tag.name monitoring
+// @tag.description Prometheus metrics, backend status, system information
+// @tag.name mcp
+// @tag.description Model Context Protocol — tool-augmented chat with MCP servers
+// @tag.name agent-jobs
+// @tag.description Agent task and job management
+// @tag.name p2p
+// @tag.description Peer-to-peer networking nodes and tokens
+// @tag.name rerank
+// @tag.description Document reranking
+// @tag.name instructions
+// @tag.description API instruction discovery — browse instruction areas and get endpoint guides
 
 func API(application *application.Application) (*echo.Echo, error) {
 	e := echo.New()
@@ -358,9 +391,13 @@ func API(application *application.Application) (*echo.Echo, error) {
 	routes.RegisterOpenAIRoutes(e, requestExtractor, application)
 	routes.RegisterAnthropicRoutes(e, requestExtractor, application)
 	routes.RegisterOpenResponsesRoutes(e, requestExtractor, application)
+	routes.RegisterOllamaRoutes(e, requestExtractor, application)
+	if application.ApplicationConfig().OllamaAPIRootEndpoint {
+		routes.RegisterOllamaRootEndpoint(e)
+	}
 	if !application.ApplicationConfig().DisableWebUI {
 		routes.RegisterUIAPIRoutes(e, application.ModelConfigLoader(), application.ModelLoader(), application.ApplicationConfig(), application.GalleryService(), opcache, application, adminMiddleware)
-		routes.RegisterUIRoutes(e, application.ModelConfigLoader(), application.ModelLoader(), application.ApplicationConfig(), application.GalleryService(), adminMiddleware)
+		routes.RegisterUIRoutes(e, application.ModelConfigLoader(), application.ApplicationConfig(), application.GalleryService(), adminMiddleware)
 
 		// Serve React SPA from / with SPA fallback via 404 handler
 		reactFS, fsErr := fs.Sub(reactUI, "react-ui/dist")

core/http/app_test.go

@@ -956,8 +956,7 @@ parameters:
 		It("returns the models list", func() {
 			models, err := client.ListModels(context.TODO())
 			Expect(err).ToNot(HaveOccurred())
-			// A model called "bert" can be present in the model directory depending on the order of the tests
+			Expect(len(models.Models)).To(BeNumerically(">=", 7))
-			Expect(len(models.Models)).To(BeNumerically(">=", 8))
 		})
 		It("can generate completions via ggml", func() {
 			if runtime.GOOS != "linux" {
@@ -979,6 +978,42 @@ parameters:
 			Expect(resp.Choices[0].Message.Content).ToNot(BeEmpty())
 		})
 
+		It("does not duplicate the first content token in streaming chat completions", Label("llama-gguf", "llama-gguf-stream"), func() {
+			if runtime.GOOS != "linux" {
+				Skip("test supported only on linux")
+			}
+			stream, err := client.CreateChatCompletionStream(context.TODO(), openai.ChatCompletionRequest{
+				Model:    "testmodel.ggml",
+				Messages: []openai.ChatCompletionMessage{{Role: "user", Content: testPrompt}},
+			})
+			Expect(err).ToNot(HaveOccurred())
+			defer stream.Close()
+
+			var contentParts []string
+			for {
+				chunk, err := stream.Recv()
+				if err == io.EOF {
+					break
+				}
+				Expect(err).ToNot(HaveOccurred())
+				if len(chunk.Choices) > 0 {
+					delta := chunk.Choices[0].Delta.Content
+					if delta != "" {
+						contentParts = append(contentParts, delta)
+					}
+				}
+			}
+
+			Expect(contentParts).ToNot(BeEmpty(), "Expected streaming content tokens")
+			// The first content token should appear exactly once.
+			// A bug in grpc-server.cpp caused the role-init array element
+			// to get the same ChatDelta stamped, duplicating the first token.
+			if len(contentParts) >= 2 {
+				Expect(contentParts[0]).ToNot(Equal(contentParts[1]),
+					"First content token was duplicated: %v", contentParts[:2])
+			}
+		})
+
 		It("returns logprobs in chat completions when requested", func() {
 			if runtime.GOOS != "linux" {
 				Skip("test only on linux")

core/http/endpoints/anthropic/messages.go

@@ -3,6 +3,8 @@ package anthropic
 import (
 	"encoding/json"
 	"fmt"
+	"sync"
+	"time"
 
 	"github.com/google/uuid"
 	"github.com/labstack/echo/v4"
@@ -21,6 +23,7 @@ import (
 // MessagesEndpoint is the Anthropic Messages API endpoint
 // https://docs.anthropic.com/claude/reference/messages_post
 // @Summary Generate a message response for the given messages and model.
+// @Tags inference
 // @Param request body schema.AnthropicRequest true "query params"
 // @Success 200 {object} schema.AnthropicResponse "Response"
 // @Router /v1/messages [post]
@@ -357,7 +360,7 @@ func handleAnthropicStream(c echo.Context, id string, input *schema.AnthropicReq
 		// Send initial content_block_start event
 		contentBlockStart := schema.AnthropicStreamEvent{
 			Type:         "content_block_start",
-			Index:        currentBlockIndex,
+			Index:        intPtr(currentBlockIndex),
 			ContentBlock: &schema.AnthropicContentBlock{Type: "text", Text: ""},
 		}
 		sendAnthropicSSE(c, contentBlockStart)
@@ -365,7 +368,33 @@ func handleAnthropicStream(c echo.Context, id string, input *schema.AnthropicReq
 		// Collect tool calls for MCP execution
 		var collectedToolCalls []functions.FuncCallResults
 
+		// SSE keepalive: send comment pings every 3s until the first token arrives.
+		// This prevents clients (e.g. Claude Code) from timing out while the model loads or processes the prompt.
+		firstTokenReceived := make(chan struct{})
+		keepaliveDone := make(chan struct{})
+		go func() {
+			defer close(keepaliveDone)
+			ticker := time.NewTicker(3 * time.Second)
+			defer ticker.Stop()
+			for {
+				select {
+				case <-firstTokenReceived:
+					return
+				case <-c.Request().Context().Done():
+					return
+				case <-ticker.C:
+					fmt.Fprintf(c.Response().Writer, "event: ping\ndata: {\"type\": \"ping\"}\n\n")
+					c.Response().Flush()
+				}
+			}
+		}()
+		firstTokenOnce := sync.Once{}
+
 		tokenCallback := func(token string, usage backend.TokenUsage) bool {
+			firstTokenOnce.Do(func() {
+				close(firstTokenReceived)
+				<-keepaliveDone // wait for keepalive goroutine to exit before writing
+			})
 			accumulatedContent += token
 
 			if shouldUseFn {
@@ -376,7 +405,7 @@ func handleAnthropicStream(c echo.Context, id string, input *schema.AnthropicReq
 					if !inToolCall && currentBlockIndex == 0 {
 						sendAnthropicSSE(c, schema.AnthropicStreamEvent{
 							Type:  "content_block_stop",
-							Index: currentBlockIndex,
+							Index: intPtr(currentBlockIndex),
 						})
 						currentBlockIndex++
 						inToolCall = true
@@ -386,7 +415,7 @@ func handleAnthropicStream(c echo.Context, id string, input *schema.AnthropicReq
 						tc := toolCalls[i]
 						sendAnthropicSSE(c, schema.AnthropicStreamEvent{
 							Type:  "content_block_start",
-							Index: currentBlockIndex,
+							Index: intPtr(currentBlockIndex),
 							ContentBlock: &schema.AnthropicContentBlock{
 								Type: "tool_use",
 								ID:   fmt.Sprintf("toolu_%s_%d", id, i),
@@ -395,7 +424,7 @@ func handleAnthropicStream(c echo.Context, id string, input *schema.AnthropicReq
 						})
 						sendAnthropicSSE(c, schema.AnthropicStreamEvent{
 							Type:  "content_block_delta",
-							Index: currentBlockIndex,
+							Index: intPtr(currentBlockIndex),
 							Delta: &schema.AnthropicStreamDelta{
 								Type:        "input_json_delta",
 								PartialJSON: tc.Arguments,
@@ -403,7 +432,7 @@ func handleAnthropicStream(c echo.Context, id string, input *schema.AnthropicReq
 						})
 						sendAnthropicSSE(c, schema.AnthropicStreamEvent{
 							Type:  "content_block_stop",
-							Index: currentBlockIndex,
+							Index: intPtr(currentBlockIndex),
 						})
 						currentBlockIndex++
 					}
@@ -413,10 +442,10 @@ func handleAnthropicStream(c echo.Context, id string, input *schema.AnthropicReq
 				}
 			}
 
-			if !inToolCall {
+			if !inToolCall && token != "" {
 				sendAnthropicSSE(c, schema.AnthropicStreamEvent{
 					Type:  "content_block_delta",
-					Index: 0,
+					Index: intPtr(0),
 					Delta: &schema.AnthropicStreamDelta{
 						Type: "text_delta",
 						Text: token,
@@ -432,6 +461,11 @@ func handleAnthropicStream(c echo.Context, id string, input *schema.AnthropicReq
 		openAIReq.Metadata = input.Metadata
 
 		_, tokenUsage, chatDeltas, err := openaiEndpoint.ComputeChoices(openAIReq, predInput, cfg, cl, appConfig, ml, func(s string, c *[]schema.Choice) {}, tokenCallback)
+
+		// Stop the keepalive goroutine now that inference is done
+		firstTokenOnce.Do(func() { close(firstTokenReceived) })
+		<-keepaliveDone
+
 		if err != nil {
 			xlog.Error("Anthropic stream model inference failed", "error", err)
 			sendAnthropicSSE(c, schema.AnthropicStreamEvent{
@@ -444,9 +478,68 @@ func handleAnthropicStream(c echo.Context, id string, input *schema.AnthropicReq
 			return nil
 		}
 
-		// Also check chat deltas for tool calls
+		// Check chat deltas from C++ autoparser — when active, the raw
-		if deltaToolCalls := functions.ToolCallsFromChatDeltas(chatDeltas); len(deltaToolCalls) > 0 && len(collectedToolCalls) == 0 {
+		// message is cleared and content/tool calls arrive via ChatDeltas.
-			collectedToolCalls = deltaToolCalls
+		if len(chatDeltas) > 0 {
+			deltaContent := functions.ContentFromChatDeltas(chatDeltas)
+			deltaToolCalls := functions.ToolCallsFromChatDeltas(chatDeltas)
+
+			// Emit text content from ChatDeltas only when the tokenCallback
+			// didn't already stream it (autoparser clears raw text, so
+			// accumulatedContent will be empty in that case).
+			if deltaContent != "" && !inToolCall && accumulatedContent == "" {
+				sendAnthropicSSE(c, schema.AnthropicStreamEvent{
+					Type:  "content_block_delta",
+					Index: intPtr(0),
+					Delta: &schema.AnthropicStreamDelta{
+						Type: "text_delta",
+						Text: deltaContent,
+					},
+				})
+			}
+
+			// Emit tool_use blocks from ChatDeltas
+			if len(deltaToolCalls) > 0 && len(collectedToolCalls) == 0 {
+				collectedToolCalls = deltaToolCalls
+
+				if !inToolCall && currentBlockIndex == 0 {
+					sendAnthropicSSE(c, schema.AnthropicStreamEvent{
+						Type:  "content_block_stop",
+						Index: intPtr(currentBlockIndex),
+					})
+					currentBlockIndex++
+					inToolCall = true
+				}
+				for i, tc := range deltaToolCalls {
+					toolCallID := tc.ID
+					if toolCallID == "" {
+						toolCallID = fmt.Sprintf("toolu_%s_%d", id, i)
+					}
+					sendAnthropicSSE(c, schema.AnthropicStreamEvent{
+						Type:  "content_block_start",
+						Index: intPtr(currentBlockIndex),
+						ContentBlock: &schema.AnthropicContentBlock{
+							Type: "tool_use",
+							ID:   toolCallID,
+							Name: tc.Name,
+						},
+					})
+					sendAnthropicSSE(c, schema.AnthropicStreamEvent{
+						Type:  "content_block_delta",
+						Index: intPtr(currentBlockIndex),
+						Delta: &schema.AnthropicStreamDelta{
+							Type:        "input_json_delta",
+							PartialJSON: tc.Arguments,
+						},
+					})
+					sendAnthropicSSE(c, schema.AnthropicStreamEvent{
+						Type:  "content_block_stop",
+						Index: intPtr(currentBlockIndex),
+					})
+					currentBlockIndex++
+					toolCallsEmitted++
+				}
+			}
 		}
 
 		// MCP streaming tool execution: if we collected MCP tool calls, execute and loop
@@ -516,7 +609,7 @@ func handleAnthropicStream(c echo.Context, id string, input *schema.AnthropicReq
 				// Close the text content block
 				sendAnthropicSSE(c, schema.AnthropicStreamEvent{
 					Type:  "content_block_stop",
-					Index: currentBlockIndex,
+					Index: intPtr(currentBlockIndex),
 				})
 				currentBlockIndex++
 				inToolCall = true
@@ -528,7 +621,7 @@ func handleAnthropicStream(c echo.Context, id string, input *schema.AnthropicReq
 					}
 					sendAnthropicSSE(c, schema.AnthropicStreamEvent{
 						Type:  "content_block_start",
-						Index: currentBlockIndex,
+						Index: intPtr(currentBlockIndex),
 						ContentBlock: &schema.AnthropicContentBlock{
 							Type: "tool_use",
 							ID:   toolCallID,
@@ -537,7 +630,7 @@ func handleAnthropicStream(c echo.Context, id string, input *schema.AnthropicReq
 					})
 					sendAnthropicSSE(c, schema.AnthropicStreamEvent{
 						Type:  "content_block_delta",
-						Index: currentBlockIndex,
+						Index: intPtr(currentBlockIndex),
 						Delta: &schema.AnthropicStreamDelta{
 							Type:        "input_json_delta",
 							PartialJSON: fc.Arguments,
@@ -545,7 +638,7 @@ func handleAnthropicStream(c echo.Context, id string, input *schema.AnthropicReq
 					})
 					sendAnthropicSSE(c, schema.AnthropicStreamEvent{
 						Type:  "content_block_stop",
-						Index: currentBlockIndex,
+						Index: intPtr(currentBlockIndex),
 					})
 					currentBlockIndex++
 					toolCallsEmitted++
@@ -557,7 +650,7 @@ func handleAnthropicStream(c echo.Context, id string, input *schema.AnthropicReq
 		if !inToolCall {
 			sendAnthropicSSE(c, schema.AnthropicStreamEvent{
 				Type:  "content_block_stop",
-				Index: 0,
+				Index: intPtr(0),
 			})
 		}
 
@@ -598,6 +691,8 @@ func convertFuncsToOpenAITools(funcs functions.Functions) []functions.Tool {
 	return tools
 }
 
+func intPtr(i int) *int { return &i }
+
 func sendAnthropicSSE(c echo.Context, event schema.AnthropicStreamEvent) {
 	data, err := json.Marshal(event)
 	if err != nil {

core/http/endpoints/elevenlabs/soundgeneration.go

@@ -15,6 +15,7 @@ import (
 
 // SoundGenerationEndpoint is the ElevenLabs SoundGeneration endpoint https://elevenlabs.io/docs/api-reference/sound-generation
 // @Summary Generates audio from the input text.
+// @Tags audio
 // @Param request body schema.ElevenLabsSoundGenerationRequest true "query params"
 // @Success 200 {string} binary	 "Response"
 // @Router /v1/sound-generation [post]

core/http/endpoints/elevenlabs/tts.go

@@ -15,6 +15,7 @@ import (
 
 // TTSEndpoint is the OpenAI Speech API endpoint https://platform.openai.com/docs/api-reference/audio/createSpeech
 // @Summary Generates audio from the input text.
+// @Tags audio
 // @Param  voice-id	path string	true	"Account ID"
 // @Param request body schema.TTSRequest true "query params"
 // @Success 200 {string} binary	 "Response"

core/http/endpoints/jina/rerank.go

@@ -15,6 +15,7 @@ import (
 
 // JINARerankEndpoint acts like the Jina reranker endpoint (https://jina.ai/reranker/)
 // @Summary Reranks a list of phrases by relevance to a given text query.
+// @Tags rerank
 // @Param request body schema.JINARerankRequest true "query params"
 // @Success 200 {object} schema.JINARerankResponse "Response"
 // @Router /v1/rerank [post]

core/http/endpoints/localai/agent_jobs.go

@@ -30,6 +30,15 @@ func getJobService(app *application.Application, c echo.Context) *agentpool.Agen
 	return jobSvc
 }
 
+// CreateTaskEndpoint creates a new agent task definition.
+// @Summary Create a new agent task
+// @Tags agent-jobs
+// @Accept json
+// @Produce json
+// @Param request body schema.Task true "Task definition"
+// @Success 201 {object} map[string]string "id"
+// @Failure 400 {object} map[string]string "error"
+// @Router /api/agent/tasks [post]
 func CreateTaskEndpoint(app *application.Application) echo.HandlerFunc {
 	return func(c echo.Context) error {
 		var task schema.Task
@@ -46,6 +55,17 @@ func CreateTaskEndpoint(app *application.Application) echo.HandlerFunc {
 	}
 }
 
+// UpdateTaskEndpoint updates an existing agent task.
+// @Summary Update an agent task
+// @Tags agent-jobs
+// @Accept json
+// @Produce json
+// @Param id path string true "Task ID"
+// @Param request body schema.Task true "Updated task definition"
+// @Success 200 {object} map[string]string "message"
+// @Failure 400 {object} map[string]string "error"
+// @Failure 404 {object} map[string]string "error"
+// @Router /api/agent/tasks/{id} [put]
 func UpdateTaskEndpoint(app *application.Application) echo.HandlerFunc {
 	return func(c echo.Context) error {
 		id := c.Param("id")
@@ -65,6 +85,14 @@ func UpdateTaskEndpoint(app *application.Application) echo.HandlerFunc {
 	}
 }
 
+// DeleteTaskEndpoint deletes an agent task.
+// @Summary Delete an agent task
+// @Tags agent-jobs
+// @Produce json
+// @Param id path string true "Task ID"
+// @Success 200 {object} map[string]string "message"
+// @Failure 404 {object} map[string]string "error"
+// @Router /api/agent/tasks/{id} [delete]
 func DeleteTaskEndpoint(app *application.Application) echo.HandlerFunc {
 	return func(c echo.Context) error {
 		id := c.Param("id")
@@ -79,6 +107,13 @@ func DeleteTaskEndpoint(app *application.Application) echo.HandlerFunc {
 	}
 }
 
+// ListTasksEndpoint lists all agent tasks for the current user.
+// @Summary List agent tasks
+// @Tags agent-jobs
+// @Produce json
+// @Param all_users query string false "Set to 'true' for admin cross-user listing"
+// @Success 200 {object} []schema.Task "tasks"
+// @Router /api/agent/tasks [get]
 func ListTasksEndpoint(app *application.Application) echo.HandlerFunc {
 	return func(c echo.Context) error {
 		jobSvc := getJobService(app, c)
@@ -121,6 +156,14 @@ func ListTasksEndpoint(app *application.Application) echo.HandlerFunc {
 	}
 }
 
+// GetTaskEndpoint returns a single agent task by ID.
+// @Summary Get an agent task
+// @Tags agent-jobs
+// @Produce json
+// @Param id path string true "Task ID"
+// @Success 200 {object} schema.Task "task"
+// @Failure 404 {object} map[string]string "error"
+// @Router /api/agent/tasks/{id} [get]
 func GetTaskEndpoint(app *application.Application) echo.HandlerFunc {
 	return func(c echo.Context) error {
 		id := c.Param("id")
@@ -133,6 +176,15 @@ func GetTaskEndpoint(app *application.Application) echo.HandlerFunc {
 	}
 }
 
+// ExecuteJobEndpoint creates and runs a new job for a task.
+// @Summary Execute an agent job
+// @Tags agent-jobs
+// @Accept json
+// @Produce json
+// @Param request body schema.JobExecutionRequest true "Job execution request"
+// @Success 201 {object} schema.JobExecutionResponse "job created"
+// @Failure 400 {object} map[string]string "error"
+// @Router /api/agent/jobs/execute [post]
 func ExecuteJobEndpoint(app *application.Application) echo.HandlerFunc {
 	return func(c echo.Context) error {
 		var req schema.JobExecutionRequest
@@ -168,6 +220,14 @@ func ExecuteJobEndpoint(app *application.Application) echo.HandlerFunc {
 	}
 }
 
+// GetJobEndpoint returns a single job by ID.
+// @Summary Get an agent job
+// @Tags agent-jobs
+// @Produce json
+// @Param id path string true "Job ID"
+// @Success 200 {object} schema.Job "job"
+// @Failure 404 {object} map[string]string "error"
+// @Router /api/agent/jobs/{id} [get]
 func GetJobEndpoint(app *application.Application) echo.HandlerFunc {
 	return func(c echo.Context) error {
 		id := c.Param("id")
@@ -180,6 +240,16 @@ func GetJobEndpoint(app *application.Application) echo.HandlerFunc {
 	}
 }
 
+// ListJobsEndpoint lists jobs, optionally filtered by task or status.
+// @Summary List agent jobs
+// @Tags agent-jobs
+// @Produce json
+// @Param task_id query string false "Filter by task ID"
+// @Param status query string false "Filter by status (pending, running, completed, failed, cancelled)"
+// @Param limit query integer false "Max number of jobs to return"
+// @Param all_users query string false "Set to 'true' for admin cross-user listing"
+// @Success 200 {object} []schema.Job "jobs"
+// @Router /api/agent/jobs [get]
 func ListJobsEndpoint(app *application.Application) echo.HandlerFunc {
 	return func(c echo.Context) error {
 		var taskID *string
@@ -241,6 +311,15 @@ func ListJobsEndpoint(app *application.Application) echo.HandlerFunc {
 	}
 }
 
+// CancelJobEndpoint cancels a running job.
+// @Summary Cancel an agent job
+// @Tags agent-jobs
+// @Produce json
+// @Param id path string true "Job ID"
+// @Success 200 {object} map[string]string "message"
+// @Failure 400 {object} map[string]string "error"
+// @Failure 404 {object} map[string]string "error"
+// @Router /api/agent/jobs/{id}/cancel [post]
 func CancelJobEndpoint(app *application.Application) echo.HandlerFunc {
 	return func(c echo.Context) error {
 		id := c.Param("id")
@@ -255,6 +334,14 @@ func CancelJobEndpoint(app *application.Application) echo.HandlerFunc {
 	}
 }
 
+// DeleteJobEndpoint deletes a job by ID.
+// @Summary Delete an agent job
+// @Tags agent-jobs
+// @Produce json
+// @Param id path string true "Job ID"
+// @Success 200 {object} map[string]string "message"
+// @Failure 404 {object} map[string]string "error"
+// @Router /api/agent/jobs/{id} [delete]
 func DeleteJobEndpoint(app *application.Application) echo.HandlerFunc {
 	return func(c echo.Context) error {
 		id := c.Param("id")
@@ -269,6 +356,17 @@ func DeleteJobEndpoint(app *application.Application) echo.HandlerFunc {
 	}
 }
 
+// ExecuteTaskByNameEndpoint looks up a task by name and executes it.
+// @Summary Execute an agent task by name
+// @Tags agent-jobs
+// @Accept json
+// @Produce json
+// @Param name path string true "Task name"
+// @Param parameters body object false "Optional template parameters"
+// @Success 201 {object} schema.JobExecutionResponse "job created"
+// @Failure 400 {object} map[string]string "error"
+// @Failure 404 {object} map[string]string "error"
+// @Router /api/agent/tasks/{name}/execute [post]
 func ExecuteTaskByNameEndpoint(app *application.Application) echo.HandlerFunc {
 	return func(c echo.Context) error {
 		name := c.Param("name")

core/http/endpoints/localai/api_instructions.go

@@ -0,0 +1,489 @@
+package localai
+
+import (
+	"encoding/json"
+	"fmt"
+	"net/http"
+	"sort"
+	"strings"
+	"sync"
+
+	"github.com/labstack/echo/v4"
+	"github.com/mudler/LocalAI/swagger"
+	"github.com/mudler/xlog"
+)
+
+const swaggerDefsPrefix = "#/definitions/"
+
+// instructionDef is a lightweight instruction definition that maps to swagger tags.
+type instructionDef struct {
+	Name        string   `json:"name"`
+	Description string   `json:"description"`
+	Tags        []string `json:"tags"`
+	Intro       string   `json:"-"` // brief context not in swagger
+}
+
+var instructionDefs = []instructionDef{
+	{
+		Name:        "chat-inference",
+		Description: "OpenAI-compatible chat completions, text completions, and embeddings",
+		Tags:        []string{"inference", "embeddings"},
+		Intro:       "Set \"stream\": true for SSE streaming. Supports tool/function calling when the model config has function templates configured.",
+	},
+	{
+		Name:        "audio",
+		Description: "Text-to-speech, voice activity detection, transcription, and sound generation",
+		Tags:        []string{"audio"},
+	},
+	{
+		Name:        "images",
+		Description: "Image generation and inpainting",
+		Tags:        []string{"images"},
+	},
+	{
+		Name:        "model-management",
+		Description: "Browse the gallery, install, delete, and manage models and backends",
+		Tags:        []string{"models", "backends"},
+	},
+	{
+		Name:        "config-management",
+		Description: "Discover, read, and modify model configuration fields with VRAM estimation",
+		Tags:        []string{"config"},
+		Intro:       "Fields with static options include an \"options\" array in metadata. Fields with dynamic values have an \"autocomplete_provider\" for runtime lookup.",
+	},
+	{
+		Name:        "monitoring",
+		Description: "System metrics, backend status, API and backend traces, backend process logs, and system information",
+		Tags:        []string{"monitoring"},
+		Intro:       "Includes real-time backend log streaming via WebSocket at /ws/backend-logs/:modelId.",
+	},
+	{
+		Name:        "mcp",
+		Description: "Model Context Protocol — tool-augmented chat with MCP servers",
+		Tags:        []string{"mcp"},
+		Intro:       "The model's config must define MCP servers. The endpoint handles tool execution automatically.",
+	},
+	{
+		Name:        "agents",
+		Description: "Agent task and job management for CI/automation workflows",
+		Tags:        []string{"agent-jobs"},
+	},
+	{
+		Name:        "video",
+		Description: "Video generation from text prompts",
+		Tags:        []string{"video"},
+	},
+}
+
+// swaggerState holds parsed swagger spec data, initialised once.
+type swaggerState struct {
+	once  sync.Once
+	spec  map[string]any // full parsed swagger JSON
+	ready bool
+}
+
+var swState swaggerState
+
+func (s *swaggerState) init() {
+	s.once.Do(func() {
+		var spec map[string]any
+		if err := json.Unmarshal(swagger.SwaggerJSON, &spec); err != nil {
+			xlog.Error("failed to parse embedded swagger spec", "err", err)
+			return
+		}
+		s.spec = spec
+		s.ready = true
+	})
+}
+
+// filterSwaggerByTags returns a swagger fragment containing only paths whose
+// operations carry at least one of the given tags, plus the definitions they
+// reference.
+func filterSwaggerByTags(spec map[string]any, tags []string) map[string]any {
+	tagSet := make(map[string]bool, len(tags))
+	for _, t := range tags {
+		tagSet[t] = true
+	}
+
+	paths, _ := spec["paths"].(map[string]any)
+	allDefs, _ := spec["definitions"].(map[string]any)
+
+	filteredPaths := make(map[string]any)
+	for path, methods := range paths {
+		methodMap, ok := methods.(map[string]any)
+		if !ok {
+			continue
+		}
+		filteredMethods := make(map[string]any)
+		for method, opRaw := range methodMap {
+			op, ok := opRaw.(map[string]any)
+			if !ok {
+				continue
+			}
+			opTags, _ := op["tags"].([]any)
+			for _, t := range opTags {
+				if ts, ok := t.(string); ok && tagSet[ts] {
+					filteredMethods[method] = op
+					break
+				}
+			}
+		}
+		if len(filteredMethods) > 0 {
+			filteredPaths[path] = filteredMethods
+		}
+	}
+
+	// Collect all $ref definitions used by the filtered paths.
+	neededDefs := make(map[string]bool)
+	collectRefs(filteredPaths, neededDefs)
+
+	// Resolve nested refs from definitions themselves.
+	changed := true
+	for changed {
+		changed = false
+		for name := range neededDefs {
+			if def, ok := allDefs[name]; ok {
+				before := len(neededDefs)
+				collectRefs(def, neededDefs)
+				if len(neededDefs) > before {
+					changed = true
+				}
+			}
+		}
+	}
+
+	filteredDefs := make(map[string]any)
+	for name := range neededDefs {
+		if def, ok := allDefs[name]; ok {
+			filteredDefs[name] = def
+		}
+	}
+
+	result := map[string]any{
+		"paths": filteredPaths,
+	}
+	if len(filteredDefs) > 0 {
+		result["definitions"] = filteredDefs
+	}
+	return result
+}
+
+// collectRefs walks a JSON structure and collects all $ref definition names.
+func collectRefs(v any, refs map[string]bool) {
+	switch val := v.(type) {
+	case map[string]any:
+		if ref, ok := val["$ref"].(string); ok {
+			if strings.HasPrefix(ref, swaggerDefsPrefix) {
+				refs[ref[len(swaggerDefsPrefix):]] = true
+			}
+		}
+		for _, child := range val {
+			collectRefs(child, refs)
+		}
+	case []any:
+		for _, child := range val {
+			collectRefs(child, refs)
+		}
+	}
+}
+
+// swaggerToMarkdown renders a filtered swagger fragment into concise markdown.
+func swaggerToMarkdown(skillName, intro string, fragment map[string]any) string {
+	var b strings.Builder
+	b.WriteString("# ")
+	b.WriteString(skillName)
+	b.WriteString("\n")
+	if intro != "" {
+		b.WriteString("\n")
+		b.WriteString(intro)
+		b.WriteString("\n")
+	}
+
+	paths, _ := fragment["paths"].(map[string]any)
+	defs, _ := fragment["definitions"].(map[string]any)
+
+	// Sort paths for stable output.
+	sortedPaths := make([]string, 0, len(paths))
+	for p := range paths {
+		sortedPaths = append(sortedPaths, p)
+	}
+	sort.Strings(sortedPaths)
+
+	for _, path := range sortedPaths {
+		methods, ok := paths[path].(map[string]any)
+		if !ok {
+			continue
+		}
+		sortedMethods := sortMethods(methods)
+		for _, method := range sortedMethods {
+			op, ok := methods[method].(map[string]any)
+			if !ok {
+				continue
+			}
+			summary, _ := op["summary"].(string)
+			b.WriteString(fmt.Sprintf("\n## %s %s\n", strings.ToUpper(method), path))
+			if summary != "" {
+				b.WriteString(summary)
+				b.WriteString("\n")
+			}
+
+			// Parameters
+			params, _ := op["parameters"].([]any)
+			bodyParams, nonBodyParams := splitParams(params)
+
+			if len(nonBodyParams) > 0 {
+				b.WriteString("\n**Parameters:**\n")
+				b.WriteString("| Name | In | Type | Required | Description |\n")
+				b.WriteString("|------|----|------|----------|-------------|\n")
+				for _, p := range nonBodyParams {
+					pm, ok := p.(map[string]any)
+					if !ok {
+						continue
+					}
+					name, _ := pm["name"].(string)
+					in, _ := pm["in"].(string)
+					typ, _ := pm["type"].(string)
+					req, _ := pm["required"].(bool)
+					desc, _ := pm["description"].(string)
+					b.WriteString(fmt.Sprintf("| %s | %s | %s | %v | %s |\n", name, in, typ, req, desc))
+				}
+			}
+
+			if len(bodyParams) > 0 {
+				for _, p := range bodyParams {
+					pm, ok := p.(map[string]any)
+					if !ok {
+						continue
+					}
+					schema, _ := pm["schema"].(map[string]any)
+					refName := resolveRefName(schema)
+					if refName != "" {
+						b.WriteString(fmt.Sprintf("\n**Request body** (`%s`):\n", refName))
+						renderSchemaFields(&b, refName, defs)
+					}
+				}
+			}
+
+			// Responses
+			responses, _ := op["responses"].(map[string]any)
+			if len(responses) > 0 {
+				sortedCodes := make([]string, 0, len(responses))
+				for code := range responses {
+					sortedCodes = append(sortedCodes, code)
+				}
+				sort.Strings(sortedCodes)
+				for _, code := range sortedCodes {
+					resp, ok := responses[code].(map[string]any)
+					if !ok {
+						continue
+					}
+					desc, _ := resp["description"].(string)
+					respSchema, _ := resp["schema"].(map[string]any)
+					refName := resolveRefName(respSchema)
+					if refName != "" {
+						b.WriteString(fmt.Sprintf("\n**Response %s** (`%s`): %s\n", code, refName, desc))
+						renderSchemaFields(&b, refName, defs)
+					} else if desc != "" {
+						b.WriteString(fmt.Sprintf("\n**Response %s**: %s\n", code, desc))
+					}
+				}
+			}
+		}
+	}
+
+	return b.String()
+}
+
+// sortMethods returns HTTP methods in a conventional order.
+func sortMethods(methods map[string]any) []string {
+	order := map[string]int{"get": 0, "post": 1, "put": 2, "patch": 3, "delete": 4}
+	keys := make([]string, 0, len(methods))
+	for k := range methods {
+		keys = append(keys, k)
+	}
+	sort.Slice(keys, func(i, j int) bool {
+		oi, oki := order[keys[i]]
+		oj, okj := order[keys[j]]
+		if !oki {
+			oi = 99
+		}
+		if !okj {
+			oj = 99
+		}
+		return oi < oj
+	})
+	return keys
+}
+
+// splitParams separates body parameters from non-body parameters.
+func splitParams(params []any) (body, nonBody []any) {
+	for _, p := range params {
+		pm, ok := p.(map[string]any)
+		if !ok {
+			continue
+		}
+		if in, _ := pm["in"].(string); in == "body" {
+			body = append(body, p)
+		} else {
+			nonBody = append(nonBody, p)
+		}
+	}
+	return
+}
+
+// resolveRefName extracts the definition name from a $ref or returns "".
+func resolveRefName(schema map[string]any) string {
+	if schema == nil {
+		return ""
+	}
+	if ref, ok := schema["$ref"].(string); ok {
+		if strings.HasPrefix(ref, swaggerDefsPrefix) {
+			return ref[len(swaggerDefsPrefix):]
+		}
+	}
+	return ""
+}
+
+// renderSchemaFields writes a markdown field table for a definition.
+func renderSchemaFields(b *strings.Builder, defName string, defs map[string]any) {
+	if defs == nil {
+		return
+	}
+	def, ok := defs[defName].(map[string]any)
+	if !ok {
+		return
+	}
+	props, ok := def["properties"].(map[string]any)
+	if !ok || len(props) == 0 {
+		return
+	}
+
+	// Sort fields
+	fields := make([]string, 0, len(props))
+	for f := range props {
+		fields = append(fields, f)
+	}
+	sort.Strings(fields)
+
+	b.WriteString("| Field | Type | Description |\n")
+	b.WriteString("|-------|------|-------------|\n")
+	for _, field := range fields {
+		prop, ok := props[field].(map[string]any)
+		if !ok {
+			continue
+		}
+		typ := schemaTypeString(prop)
+		desc, _ := prop["description"].(string)
+		b.WriteString(fmt.Sprintf("| %s | %s | %s |\n", field, typ, desc))
+	}
+}
+
+// schemaTypeString returns a human-readable type string for a schema property.
+func schemaTypeString(prop map[string]any) string {
+	if ref := resolveRefName(prop); ref != "" {
+		return ref
+	}
+	typ, _ := prop["type"].(string)
+	if typ == "array" {
+		items, _ := prop["items"].(map[string]any)
+		if items != nil {
+			if ref := resolveRefName(items); ref != "" {
+				return "[]" + ref
+			}
+			it, _ := items["type"].(string)
+			if it != "" {
+				return "[]" + it
+			}
+		}
+		return "[]any"
+	}
+	if typ != "" {
+		return typ
+	}
+	return "object"
+}
+
+// APIInstructionResponse is the JSON response for a single instruction (?format=json).
+type APIInstructionResponse struct {
+	Name            string         `json:"name"`
+	Description     string         `json:"description"`
+	Tags            []string       `json:"tags"`
+	SwaggerFragment map[string]any `json:"swagger_fragment,omitempty"`
+}
+
+// ListAPIInstructionsEndpoint returns all instructions (compact list without guides).
+// @Summary List available API instruction areas
+// @Description Returns a compact list of instruction areas with descriptions and URLs for detailed guides
+// @Tags instructions
+// @Produce json
+// @Success 200 {object} map[string]any "instructions list with hint"
+// @Router /api/instructions [get]
+func ListAPIInstructionsEndpoint() echo.HandlerFunc {
+	return func(c echo.Context) error {
+		type compactInstruction struct {
+			Name        string   `json:"name"`
+			Description string   `json:"description"`
+			Tags        []string `json:"tags"`
+			URL         string   `json:"url"`
+		}
+		instructions := make([]compactInstruction, len(instructionDefs))
+		for i, s := range instructionDefs {
+			instructions[i] = compactInstruction{
+				Name:        s.Name,
+				Description: s.Description,
+				Tags:        s.Tags,
+				URL:         "/api/instructions/" + s.Name,
+			}
+		}
+		return c.JSON(http.StatusOK, map[string]any{
+			"instructions": instructions,
+			"hint":         "Fetch GET {url} for a markdown API guide. Add ?format=json for a raw OpenAPI fragment.",
+		})
+	}
+}
+
+// GetAPIInstructionEndpoint returns a single instruction by name.
+// @Summary Get an instruction's API guide or OpenAPI fragment
+// @Description Returns a markdown guide (default) or filtered OpenAPI fragment (format=json) for a named instruction
+// @Tags instructions
+// @Produce json
+// @Produce text/markdown
+// @Param name path string true "Instruction name (e.g. chat-inference, config-management)"
+// @Param format query string false "Response format: json for OpenAPI fragment, omit for markdown"
+// @Success 200 {object} APIInstructionResponse "instruction documentation"
+// @Failure 404 {object} map[string]string "instruction not found"
+// @Router /api/instructions/{name} [get]
+func GetAPIInstructionEndpoint() echo.HandlerFunc {
+	byName := make(map[string]*instructionDef, len(instructionDefs))
+	for i := range instructionDefs {
+		byName[instructionDefs[i].Name] = &instructionDefs[i]
+	}
+
+	return func(c echo.Context) error {
+		name := c.Param("name")
+		inst, ok := byName[name]
+		if !ok {
+			return c.JSON(http.StatusNotFound, map[string]any{"error": "instruction not found: " + name})
+		}
+
+		swState.init()
+		if !swState.ready {
+			return c.JSON(http.StatusInternalServerError, map[string]any{"error": "swagger spec not available"})
+		}
+
+		fragment := filterSwaggerByTags(swState.spec, inst.Tags)
+
+		format := c.QueryParam("format")
+		if format == "json" {
+			return c.JSON(http.StatusOK, APIInstructionResponse{
+				Name:            inst.Name,
+				Description:     inst.Description,
+				Tags:            inst.Tags,
+				SwaggerFragment: fragment,
+			})
+		}
+
+		guide := swaggerToMarkdown(inst.Name, inst.Intro, fragment)
+		return c.Blob(http.StatusOK, "text/markdown; charset=utf-8", []byte(guide))
+	}
+}

core/http/endpoints/localai/api_instructions_test.go

@@ -0,0 +1,222 @@
+package localai_test
+
+import (
+	"encoding/json"
+	"io"
+	"net/http"
+	"net/http/httptest"
+	"strings"
+
+	"github.com/labstack/echo/v4"
+	. "github.com/mudler/LocalAI/core/http/endpoints/localai"
+	. "github.com/onsi/ginkgo/v2"
+	. "github.com/onsi/gomega"
+)
+
+var _ = Describe("API Instructions Endpoints", func() {
+	var app *echo.Echo
+
+	BeforeEach(func() {
+		app = echo.New()
+		app.GET("/api/instructions", ListAPIInstructionsEndpoint())
+		app.GET("/api/instructions/:name", GetAPIInstructionEndpoint())
+	})
+
+	Context("GET /api/instructions", func() {
+		It("should return all instruction definitions", func() {
+			req := httptest.NewRequest(http.MethodGet, "/api/instructions", nil)
+			rec := httptest.NewRecorder()
+			app.ServeHTTP(rec, req)
+
+			Expect(rec.Code).To(Equal(http.StatusOK))
+
+			var resp map[string]any
+			err := json.Unmarshal(rec.Body.Bytes(), &resp)
+			Expect(err).NotTo(HaveOccurred())
+
+			Expect(resp).To(HaveKey("hint"))
+			Expect(resp).To(HaveKey("instructions"))
+
+			instructions, ok := resp["instructions"].([]any)
+			Expect(ok).To(BeTrue())
+			Expect(instructions).To(HaveLen(9))
+
+			// Verify each instruction has required fields and correct URL format
+			for _, s := range instructions {
+				inst, ok := s.(map[string]any)
+				Expect(ok).To(BeTrue())
+				Expect(inst["name"]).NotTo(BeEmpty())
+				Expect(inst["description"]).NotTo(BeEmpty())
+				Expect(inst["tags"]).NotTo(BeNil())
+				Expect(inst["url"]).To(HavePrefix("/api/instructions/"))
+				Expect(inst["url"]).To(Equal("/api/instructions/" + inst["name"].(string)))
+			}
+		})
+
+		It("should include known instruction names", func() {
+			req := httptest.NewRequest(http.MethodGet, "/api/instructions", nil)
+			rec := httptest.NewRecorder()
+			app.ServeHTTP(rec, req)
+
+			var resp map[string]any
+			Expect(json.Unmarshal(rec.Body.Bytes(), &resp)).To(Succeed())
+
+			instructions := resp["instructions"].([]any)
+			names := make([]string, len(instructions))
+			for i, s := range instructions {
+				names[i] = s.(map[string]any)["name"].(string)
+			}
+
+			Expect(names).To(ContainElements(
+				"chat-inference",
+				"config-management",
+				"model-management",
+				"monitoring",
+				"agents",
+			))
+		})
+	})
+
+	Context("GET /api/instructions/:name", func() {
+		It("should return 404 for unknown instruction", func() {
+			req := httptest.NewRequest(http.MethodGet, "/api/instructions/nonexistent", nil)
+			rec := httptest.NewRecorder()
+			app.ServeHTTP(rec, req)
+
+			Expect(rec.Code).To(Equal(http.StatusNotFound))
+
+			var resp map[string]any
+			Expect(json.Unmarshal(rec.Body.Bytes(), &resp)).To(Succeed())
+			Expect(resp["error"]).To(ContainSubstring("instruction not found"))
+		})
+
+		It("should return markdown by default", func() {
+			req := httptest.NewRequest(http.MethodGet, "/api/instructions/chat-inference", nil)
+			rec := httptest.NewRecorder()
+			app.ServeHTTP(rec, req)
+
+			Expect(rec.Code).To(Equal(http.StatusOK))
+			Expect(rec.Header().Get("Content-Type")).To(ContainSubstring("text/markdown"))
+
+			body, err := io.ReadAll(rec.Body)
+			Expect(err).NotTo(HaveOccurred())
+			md := string(body)
+
+			Expect(md).To(HavePrefix("# chat-inference"))
+			// Should contain at least one endpoint heading
+			Expect(md).To(MatchRegexp(`## (GET|POST|PUT|PATCH|DELETE) /`))
+		})
+
+		It("should include intro text for instructions that have one", func() {
+			req := httptest.NewRequest(http.MethodGet, "/api/instructions/chat-inference", nil)
+			rec := httptest.NewRecorder()
+			app.ServeHTTP(rec, req)
+
+			body, _ := io.ReadAll(rec.Body)
+			// chat-inference has an intro about streaming
+			Expect(string(body)).To(ContainSubstring("stream"))
+		})
+
+		It("should return JSON fragment when format=json", func() {
+			req := httptest.NewRequest(http.MethodGet, "/api/instructions/chat-inference?format=json", nil)
+			rec := httptest.NewRecorder()
+			app.ServeHTTP(rec, req)
+
+			Expect(rec.Code).To(Equal(http.StatusOK))
+
+			var resp map[string]any
+			Expect(json.Unmarshal(rec.Body.Bytes(), &resp)).To(Succeed())
+			Expect(resp["name"]).To(Equal("chat-inference"))
+			Expect(resp["tags"]).To(ContainElements("inference", "embeddings"))
+
+			fragment, ok := resp["swagger_fragment"].(map[string]any)
+			Expect(ok).To(BeTrue())
+			Expect(fragment).To(HaveKey("paths"))
+
+			paths, ok := fragment["paths"].(map[string]any)
+			Expect(ok).To(BeTrue())
+			Expect(paths).NotTo(BeEmpty())
+		})
+
+		It("should include referenced definitions in JSON fragment", func() {
+			req := httptest.NewRequest(http.MethodGet, "/api/instructions/chat-inference?format=json", nil)
+			rec := httptest.NewRecorder()
+			app.ServeHTTP(rec, req)
+
+			var resp map[string]any
+			Expect(json.Unmarshal(rec.Body.Bytes(), &resp)).To(Succeed())
+
+			fragment := resp["swagger_fragment"].(map[string]any)
+			Expect(fragment).To(HaveKey("definitions"))
+
+			defs, ok := fragment["definitions"].(map[string]any)
+			Expect(ok).To(BeTrue())
+			Expect(defs).NotTo(BeEmpty())
+		})
+
+		It("should only include paths matching the instruction tags in JSON fragment", func() {
+			req := httptest.NewRequest(http.MethodGet, "/api/instructions/config-management?format=json", nil)
+			rec := httptest.NewRecorder()
+			app.ServeHTTP(rec, req)
+
+			var resp map[string]any
+			Expect(json.Unmarshal(rec.Body.Bytes(), &resp)).To(Succeed())
+
+			fragment := resp["swagger_fragment"].(map[string]any)
+			paths := fragment["paths"].(map[string]any)
+			Expect(paths).NotTo(BeEmpty())
+
+			// Every operation in every path should have the "config" tag
+			for _, methods := range paths {
+				methodMap := methods.(map[string]any)
+				for _, opRaw := range methodMap {
+					op := opRaw.(map[string]any)
+					tags, _ := op["tags"].([]any)
+					tagStrs := make([]string, len(tags))
+					for i, t := range tags {
+						tagStrs[i] = t.(string)
+					}
+					Expect(tagStrs).To(ContainElement("config"))
+				}
+			}
+		})
+
+		It("should produce stable output across calls", func() {
+			req1 := httptest.NewRequest(http.MethodGet, "/api/instructions/chat-inference", nil)
+			rec1 := httptest.NewRecorder()
+			app.ServeHTTP(rec1, req1)
+
+			req2 := httptest.NewRequest(http.MethodGet, "/api/instructions/chat-inference", nil)
+			rec2 := httptest.NewRecorder()
+			app.ServeHTTP(rec2, req2)
+
+			body1, _ := io.ReadAll(rec1.Body)
+			body2, _ := io.ReadAll(rec2.Body)
+			Expect(string(body1)).To(Equal(string(body2)))
+		})
+
+		It("should return markdown for every defined instruction", func() {
+			// First get the list
+			listReq := httptest.NewRequest(http.MethodGet, "/api/instructions", nil)
+			listRec := httptest.NewRecorder()
+			app.ServeHTTP(listRec, listReq)
+
+			var listResp map[string]any
+			Expect(json.Unmarshal(listRec.Body.Bytes(), &listResp)).To(Succeed())
+
+			instructions := listResp["instructions"].([]any)
+			for _, s := range instructions {
+				name := s.(map[string]any)["name"].(string)
+				req := httptest.NewRequest(http.MethodGet, "/api/instructions/"+name, nil)
+				rec := httptest.NewRecorder()
+				app.ServeHTTP(rec, req)
+
+				Expect(rec.Code).To(Equal(http.StatusOK),
+					"instruction %q should return 200", name)
+				body, _ := io.ReadAll(rec.Body)
+				Expect(strings.TrimSpace(string(body))).NotTo(BeEmpty(),
+					"instruction %q should return non-empty markdown", name)
+			}
+		})
+	})
+})

core/http/endpoints/localai/backend.go

@@ -15,28 +15,37 @@ import (
 	"github.com/mudler/xlog"
 )
 
+// UpgradeInfoProvider is an interface for querying cached backend upgrade information.
+type UpgradeInfoProvider interface {
+	GetAvailableUpgrades() map[string]gallery.UpgradeInfo
+	TriggerCheck()
+}
+
 type BackendEndpointService struct {
 	galleries         []config.Gallery
 	backendPath       string
 	backendSystemPath string
 	backendApplier    *galleryop.GalleryService
+	upgradeChecker    UpgradeInfoProvider
 }
 
 type GalleryBackend struct {
 	ID string `json:"id"`
 }
 
-func CreateBackendEndpointService(galleries []config.Gallery, systemState *system.SystemState, backendApplier *galleryop.GalleryService) BackendEndpointService {
+func CreateBackendEndpointService(galleries []config.Gallery, systemState *system.SystemState, backendApplier *galleryop.GalleryService, upgradeChecker UpgradeInfoProvider) BackendEndpointService {
 	return BackendEndpointService{
 		galleries:         galleries,
 		backendPath:       systemState.Backend.BackendsPath,
 		backendSystemPath: systemState.Backend.BackendsSystemPath,
 		backendApplier:    backendApplier,
+		upgradeChecker:    upgradeChecker,
 	}
 }
 
 // GetOpStatusEndpoint returns the job status
 // @Summary Returns the job status
+// @Tags backends
 // @Success 200 {object} galleryop.OpStatus "Response"
 // @Router /backends/jobs/{uuid} [get]
 func (mgs *BackendEndpointService) GetOpStatusEndpoint() echo.HandlerFunc {
@@ -51,6 +60,7 @@ func (mgs *BackendEndpointService) GetOpStatusEndpoint() echo.HandlerFunc {
 
 // GetAllStatusEndpoint returns all the jobs status progress
 // @Summary Returns all the jobs status progress
+// @Tags backends
 // @Success 200 {object} map[string]galleryop.OpStatus "Response"
 // @Router /backends/jobs [get]
 func (mgs *BackendEndpointService) GetAllStatusEndpoint() echo.HandlerFunc {
@@ -61,6 +71,7 @@ func (mgs *BackendEndpointService) GetAllStatusEndpoint() echo.HandlerFunc {
 
 // ApplyBackendEndpoint installs a new backend to a LocalAI instance
 // @Summary Install backends to LocalAI.
+// @Tags backends
 // @Param request body GalleryBackend true "query params"
 // @Success 200 {object} schema.BackendResponse "Response"
 // @Router /backends/apply [post]
@@ -88,6 +99,7 @@ func (mgs *BackendEndpointService) ApplyBackendEndpoint() echo.HandlerFunc {
 
 // DeleteBackendEndpoint lets delete backends from a LocalAI instance
 // @Summary delete backends from LocalAI.
+// @Tags backends
 // @Param name	path string	true	"Backend name"
 // @Success 200 {object} schema.BackendResponse "Response"
 // @Router /backends/delete/{name} [post]
@@ -112,6 +124,7 @@ func (mgs *BackendEndpointService) DeleteBackendEndpoint() echo.HandlerFunc {
 
 // ListBackendsEndpoint list the available backends configured in LocalAI
 // @Summary List all Backends
+// @Tags backends
 // @Success 200 {object} []gallery.GalleryBackend "Response"
 // @Router /backends [get]
 func (mgs *BackendEndpointService) ListBackendsEndpoint() echo.HandlerFunc {
@@ -126,6 +139,7 @@ func (mgs *BackendEndpointService) ListBackendsEndpoint() echo.HandlerFunc {
 
 // ListModelGalleriesEndpoint list the available galleries configured in LocalAI
 // @Summary List all Galleries
+// @Tags backends
 // @Success 200 {object} []config.Gallery "Response"
 // @Router /backends/galleries [get]
 // NOTE: This is different (and much simpler!) than above! This JUST lists the model galleries that have been loaded, not their contents!
@@ -140,8 +154,65 @@ func (mgs *BackendEndpointService) ListBackendGalleriesEndpoint() echo.HandlerFu
 	}
 }
 
+// GetUpgradesEndpoint returns the cached backend upgrade information
+// @Summary Get available backend upgrades
+// @Tags backends
+// @Success 200 {object} map[string]gallery.UpgradeInfo "Response"
+// @Router /backends/upgrades [get]
+func (mgs *BackendEndpointService) GetUpgradesEndpoint() echo.HandlerFunc {
+	return func(c echo.Context) error {
+		if mgs.upgradeChecker == nil {
+			return c.JSON(200, map[string]gallery.UpgradeInfo{})
+		}
+		return c.JSON(200, mgs.upgradeChecker.GetAvailableUpgrades())
+	}
+}
+
+// CheckUpgradesEndpoint forces an immediate upgrade check
+// @Summary Force backend upgrade check
+// @Tags backends
+// @Success 200 {object} map[string]gallery.UpgradeInfo "Response"
+// @Router /backends/upgrades/check [post]
+func (mgs *BackendEndpointService) CheckUpgradesEndpoint() echo.HandlerFunc {
+	return func(c echo.Context) error {
+		if mgs.upgradeChecker == nil {
+			return c.JSON(200, map[string]gallery.UpgradeInfo{})
+		}
+		mgs.upgradeChecker.TriggerCheck()
+		// Return current cached results (the triggered check runs async)
+		return c.JSON(200, mgs.upgradeChecker.GetAvailableUpgrades())
+	}
+}
+
+// UpgradeBackendEndpoint triggers an upgrade for a specific backend
+// @Summary Upgrade a backend
+// @Tags backends
+// @Param name path string true "Backend name"
+// @Success 200 {object} schema.BackendResponse "Response"
+// @Router /backends/upgrade/{name} [post]
+func (mgs *BackendEndpointService) UpgradeBackendEndpoint() echo.HandlerFunc {
+	return func(c echo.Context) error {
+		backendName := c.Param("name")
+
+		uuid, err := uuid.NewUUID()
+		if err != nil {
+			return err
+		}
+
+		mgs.backendApplier.BackendGalleryChannel <- galleryop.ManagementOp[gallery.GalleryBackend, any]{
+			ID:                 uuid.String(),
+			GalleryElementName: backendName,
+			Galleries:          mgs.galleries,
+			Upgrade:            true,
+		}
+
+		return c.JSON(200, schema.BackendResponse{ID: uuid.String(), StatusURL: fmt.Sprintf("%sbackends/jobs/%s", middleware.BaseURL(c), uuid.String())})
+	}
+}
+
 // ListAvailableBackendsEndpoint list the available backends in the galleries configured in LocalAI
 // @Summary List all available Backends
+// @Tags backends
 // @Success 200 {object} []gallery.GalleryBackend "Response"
 // @Router /backends/available [get]
 func (mgs *BackendEndpointService) ListAvailableBackendsEndpoint(systemState *system.SystemState) echo.HandlerFunc {

core/http/endpoints/localai/backend_logs.go

@@ -0,0 +1,179 @@
+package localai
+
+import (
+	"encoding/json"
+	"fmt"
+	"net/http"
+	"net/url"
+	"sync"
+	"time"
+
+	"github.com/gorilla/websocket"
+	"github.com/labstack/echo/v4"
+	"github.com/mudler/LocalAI/pkg/model"
+	"github.com/mudler/xlog"
+)
+
+var backendLogsUpgrader = websocket.Upgrader{
+	CheckOrigin: func(r *http.Request) bool {
+		origin := r.Header.Get("Origin")
+		if origin == "" {
+			return true // no origin header = same-origin or non-browser
+		}
+		u, err := url.Parse(origin)
+		if err != nil {
+			return false
+		}
+		return u.Host == r.Host
+	},
+}
+
+// backendLogsConn wraps a websocket connection with a mutex for safe concurrent writes
+type backendLogsConn struct {
+	*websocket.Conn
+	mu sync.Mutex
+}
+
+func (c *backendLogsConn) writeJSON(v any) error {
+	c.mu.Lock()
+	defer c.mu.Unlock()
+	c.Conn.SetWriteDeadline(time.Now().Add(30 * time.Second))
+	data, err := json.Marshal(v)
+	if err != nil {
+		return fmt.Errorf("marshal error: %w", err)
+	}
+	return c.Conn.WriteMessage(websocket.TextMessage, data)
+}
+
+func (c *backendLogsConn) writePing() error {
+	c.mu.Lock()
+	defer c.mu.Unlock()
+	c.Conn.SetWriteDeadline(time.Now().Add(30 * time.Second))
+	return c.Conn.WriteMessage(websocket.PingMessage, nil)
+}
+
+// ListBackendLogsEndpoint returns model IDs that have log buffers
+// @Summary List models with backend logs
+// @Description Returns a sorted list of model IDs that have captured backend process output
+// @Tags monitoring
+// @Produce json
+// @Success 200 {array} string "Model IDs with logs"
+// @Router /api/backend-logs [get]
+func ListBackendLogsEndpoint(ml *model.ModelLoader) echo.HandlerFunc {
+	return func(c echo.Context) error {
+		return c.JSON(200, ml.BackendLogs().ListModels())
+	}
+}
+
+// GetBackendLogsEndpoint returns log lines for a specific model
+// @Summary Get backend logs for a model
+// @Description Returns all captured log lines (stdout/stderr) for the specified model's backend process
+// @Tags monitoring
+// @Produce json
+// @Param modelId path string true "Model ID"
+// @Success 200 {array} model.BackendLogLine "Log lines"
+// @Router /api/backend-logs/{modelId} [get]
+func GetBackendLogsEndpoint(ml *model.ModelLoader) echo.HandlerFunc {
+	return func(c echo.Context) error {
+		modelID := c.Param("modelId")
+		return c.JSON(200, ml.BackendLogs().GetLines(modelID))
+	}
+}
+
+// ClearBackendLogsEndpoint clears log lines for a specific model
+// @Summary Clear backend logs for a model
+// @Description Removes all captured log lines for the specified model's backend process
+// @Tags monitoring
+// @Param modelId path string true "Model ID"
+// @Success 204 "Logs cleared"
+// @Router /api/backend-logs/{modelId}/clear [post]
+func ClearBackendLogsEndpoint(ml *model.ModelLoader) echo.HandlerFunc {
+	return func(c echo.Context) error {
+		ml.BackendLogs().Clear(c.Param("modelId"))
+		return c.NoContent(204)
+	}
+}
+
+// BackendLogsWebSocketEndpoint streams backend logs in real-time over WebSocket
+// @Summary Stream backend logs via WebSocket
+// @Description Opens a WebSocket connection for real-time backend log streaming. Sends an initial batch of existing lines (type "initial"), then streams new lines as they appear (type "line"). Supports ping/pong keepalive.
+// @Tags monitoring
+// @Param modelId path string true "Model ID"
+// @Router /ws/backend-logs/{modelId} [get]
+func BackendLogsWebSocketEndpoint(ml *model.ModelLoader) echo.HandlerFunc {
+	return func(c echo.Context) error {
+		modelID := c.Param("modelId")
+
+		ws, err := backendLogsUpgrader.Upgrade(c.Response(), c.Request(), nil)
+		if err != nil {
+			return err
+		}
+		defer ws.Close()
+
+		ws.SetReadLimit(4096)
+
+		// Set up ping/pong for keepalive
+		ws.SetReadDeadline(time.Now().Add(90 * time.Second))
+		ws.SetPongHandler(func(string) error {
+			ws.SetReadDeadline(time.Now().Add(90 * time.Second))
+			return nil
+		})
+
+		conn := &backendLogsConn{Conn: ws}
+
+		// Send existing lines as initial batch
+		existingLines := ml.BackendLogs().GetLines(modelID)
+		initialMsg := map[string]any{
+			"type":  "initial",
+			"lines": existingLines,
+		}
+		if err := conn.writeJSON(initialMsg); err != nil {
+			xlog.Debug("WebSocket backend-logs initial write failed", "error", err)
+			return nil
+		}
+
+		// Subscribe to new lines
+		lineCh, unsubscribe := ml.BackendLogs().Subscribe(modelID)
+		defer unsubscribe()
+
+		// Handle close from client side
+		closeCh := make(chan struct{})
+		go func() {
+			for {
+				_, _, err := ws.ReadMessage()
+				if err != nil {
+					close(closeCh)
+					return
+				}
+			}
+		}()
+
+		// Ping ticker for keepalive
+		pingTicker := time.NewTicker(30 * time.Second)
+		defer pingTicker.Stop()
+
+		// Forward new lines to WebSocket
+		for {
+			select {
+			case line, ok := <-lineCh:
+				if !ok {
+					return nil
+				}
+				lineMsg := map[string]any{
+					"type": "line",
+					"line": line,
+				}
+				if err := conn.writeJSON(lineMsg); err != nil {
+					xlog.Debug("WebSocket backend-logs write error", "error", err)
+					return nil
+				}
+			case <-pingTicker.C:
+				if err := conn.writePing(); err != nil {
+					return nil
+				}
+			case <-closeCh:
+				return nil
+			}
+		}
+	}
+}

core/http/endpoints/localai/backend_logs_test.go

@@ -0,0 +1,196 @@
+package localai_test
+
+import (
+	"encoding/json"
+	"net/http"
+	"net/http/httptest"
+	"os"
+	"path/filepath"
+	"strings"
+	"time"
+
+	"github.com/gorilla/websocket"
+	"github.com/labstack/echo/v4"
+	. "github.com/mudler/LocalAI/core/http/endpoints/localai"
+	"github.com/mudler/LocalAI/pkg/model"
+	"github.com/mudler/LocalAI/pkg/system"
+	. "github.com/onsi/ginkgo/v2"
+	. "github.com/onsi/gomega"
+)
+
+var _ = Describe("Backend Logs Endpoints", func() {
+	var (
+		app         *echo.Echo
+		tempDir     string
+		modelLoader *model.ModelLoader
+	)
+
+	BeforeEach(func() {
+		var err error
+		tempDir, err = os.MkdirTemp("", "backend-logs-test-*")
+		Expect(err).NotTo(HaveOccurred())
+
+		modelsPath := filepath.Join(tempDir, "models")
+		Expect(os.MkdirAll(modelsPath, 0750)).To(Succeed())
+
+		systemState, err := system.GetSystemState(
+			system.WithModelPath(modelsPath),
+		)
+		Expect(err).NotTo(HaveOccurred())
+
+		modelLoader = model.NewModelLoader(systemState)
+
+		app = echo.New()
+		app.GET("/api/backend-logs", ListBackendLogsEndpoint(modelLoader))
+		app.GET("/api/backend-logs/:modelId", GetBackendLogsEndpoint(modelLoader))
+		app.POST("/api/backend-logs/:modelId/clear", ClearBackendLogsEndpoint(modelLoader))
+		app.GET("/ws/backend-logs/:modelId", BackendLogsWebSocketEndpoint(modelLoader))
+	})
+
+	AfterEach(func() {
+		os.RemoveAll(tempDir)
+	})
+
+	Context("REST endpoints", func() {
+		It("should return empty list of models with logs", func() {
+			req := httptest.NewRequest(http.MethodGet, "/api/backend-logs", nil)
+			rec := httptest.NewRecorder()
+			app.ServeHTTP(rec, req)
+
+			Expect(rec.Code).To(Equal(http.StatusOK))
+
+			var models []string
+			Expect(json.Unmarshal(rec.Body.Bytes(), &models)).To(Succeed())
+			Expect(models).To(BeEmpty())
+		})
+
+		It("should list models that have logs", func() {
+			modelLoader.BackendLogs().AppendLine("my-model", "stdout", "hello")
+
+			req := httptest.NewRequest(http.MethodGet, "/api/backend-logs", nil)
+			rec := httptest.NewRecorder()
+			app.ServeHTTP(rec, req)
+
+			Expect(rec.Code).To(Equal(http.StatusOK))
+
+			var models []string
+			Expect(json.Unmarshal(rec.Body.Bytes(), &models)).To(Succeed())
+			Expect(models).To(ContainElement("my-model"))
+		})
+
+		It("should return log lines for a model", func() {
+			modelLoader.BackendLogs().AppendLine("my-model", "stdout", "line one")
+			modelLoader.BackendLogs().AppendLine("my-model", "stderr", "line two")
+
+			req := httptest.NewRequest(http.MethodGet, "/api/backend-logs/my-model", nil)
+			rec := httptest.NewRecorder()
+			app.ServeHTTP(rec, req)
+
+			Expect(rec.Code).To(Equal(http.StatusOK))
+
+			var lines []model.BackendLogLine
+			Expect(json.Unmarshal(rec.Body.Bytes(), &lines)).To(Succeed())
+			Expect(lines).To(HaveLen(2))
+			Expect(lines[0].Text).To(Equal("line one"))
+			Expect(lines[0].Stream).To(Equal("stdout"))
+			Expect(lines[1].Text).To(Equal("line two"))
+			Expect(lines[1].Stream).To(Equal("stderr"))
+		})
+
+		It("should return empty log lines for unknown model", func() {
+			req := httptest.NewRequest(http.MethodGet, "/api/backend-logs/unknown-model", nil)
+			rec := httptest.NewRecorder()
+			app.ServeHTTP(rec, req)
+
+			Expect(rec.Code).To(Equal(http.StatusOK))
+		})
+
+		It("should clear logs for a model", func() {
+			modelLoader.BackendLogs().AppendLine("my-model", "stdout", "hello")
+
+			req := httptest.NewRequest(http.MethodPost, "/api/backend-logs/my-model/clear", nil)
+			rec := httptest.NewRecorder()
+			app.ServeHTTP(rec, req)
+
+			Expect(rec.Code).To(Equal(http.StatusNoContent))
+
+			// Verify logs are cleared
+			req = httptest.NewRequest(http.MethodGet, "/api/backend-logs/my-model", nil)
+			rec = httptest.NewRecorder()
+			app.ServeHTTP(rec, req)
+
+			var lines []model.BackendLogLine
+			Expect(json.Unmarshal(rec.Body.Bytes(), &lines)).To(Succeed())
+			Expect(lines).To(BeEmpty())
+		})
+	})
+
+	Context("WebSocket endpoint", func() {
+		It("should send initial lines and stream new lines", func() {
+			// Seed some existing lines before connecting
+			modelLoader.BackendLogs().AppendLine("ws-model", "stdout", "existing line")
+
+			// Start a real HTTP server for WebSocket
+			srv := httptest.NewServer(app)
+			defer srv.Close()
+
+			// Dial the WebSocket
+			wsURL := "ws" + strings.TrimPrefix(srv.URL, "http") + "/ws/backend-logs/ws-model"
+			dialer := websocket.Dialer{HandshakeTimeout: 2 * time.Second}
+			conn, _, err := dialer.Dial(wsURL, nil)
+			Expect(err).NotTo(HaveOccurred())
+			defer conn.Close()
+
+			// Read the initial message
+			var initialMsg map[string]any
+			err = conn.ReadJSON(&initialMsg)
+			Expect(err).NotTo(HaveOccurred())
+			Expect(initialMsg["type"]).To(Equal("initial"))
+
+			initialLines, ok := initialMsg["lines"].([]any)
+			Expect(ok).To(BeTrue())
+			Expect(initialLines).To(HaveLen(1))
+
+			firstLine := initialLines[0].(map[string]any)
+			Expect(firstLine["text"]).To(Equal("existing line"))
+
+			// Now append a new line and verify it streams through
+			modelLoader.BackendLogs().AppendLine("ws-model", "stderr", "streamed line")
+
+			var lineMsg map[string]any
+			conn.SetReadDeadline(time.Now().Add(2 * time.Second))
+			err = conn.ReadJSON(&lineMsg)
+			Expect(err).NotTo(HaveOccurred())
+			Expect(lineMsg["type"]).To(Equal("line"))
+
+			lineData, ok := lineMsg["line"].(map[string]any)
+			Expect(ok).To(BeTrue())
+			Expect(lineData["text"]).To(Equal("streamed line"))
+			Expect(lineData["stream"]).To(Equal("stderr"))
+		})
+
+		It("should handle connection close gracefully", func() {
+			srv := httptest.NewServer(app)
+			defer srv.Close()
+
+			wsURL := "ws" + strings.TrimPrefix(srv.URL, "http") + "/ws/backend-logs/close-model"
+			dialer := websocket.Dialer{HandshakeTimeout: 2 * time.Second}
+			conn, _, err := dialer.Dial(wsURL, nil)
+			Expect(err).NotTo(HaveOccurred())
+
+			// Read initial message
+			var initialMsg map[string]any
+			err = conn.ReadJSON(&initialMsg)
+			Expect(err).NotTo(HaveOccurred())
+			Expect(initialMsg["type"]).To(Equal("initial"))
+
+			// Close the connection from client side
+			conn.Close()
+
+			// Give the server goroutine time to detect the close
+			time.Sleep(50 * time.Millisecond)
+
+			// No panic or hang — the test passing is the assertion
+		})
+	})
+})

core/http/endpoints/localai/backend_monitor.go

@@ -8,6 +8,7 @@ import (
 
 // BackendMonitorEndpoint returns the status of the specified backend
 // @Summary Backend monitor endpoint
+// @Tags monitoring
 // @Param request body schema.BackendMonitorRequest true "Backend statistics request"
 // @Success 200 {object} proto.StatusResponse "Response"
 // @Router /backend/monitor [get]
@@ -29,7 +30,8 @@ func BackendMonitorEndpoint(bm *monitoring.BackendMonitorService) echo.HandlerFu
 }
 
 // BackendShutdownEndpoint shuts down the specified backend
-// @Summary Backend monitor endpoint
+// @Summary Backend shutdown endpoint
+// @Tags monitoring
 // @Param request body schema.BackendMonitorRequest true "Backend statistics request"
 // @Router /backend/shutdown [post]
 func BackendShutdownEndpoint(bm *monitoring.BackendMonitorService) echo.HandlerFunc {

core/http/endpoints/localai/config_meta.go

@@ -0,0 +1,244 @@
+package localai
+
+import (
+	"encoding/json"
+	"fmt"
+	"io"
+	"net/http"
+	"net/url"
+	"os"
+	"reflect"
+	"sort"
+	"strings"
+
+	"dario.cat/mergo"
+	"github.com/labstack/echo/v4"
+	"github.com/mudler/LocalAI/core/config"
+	"github.com/mudler/LocalAI/core/config/meta"
+	"github.com/mudler/LocalAI/core/gallery"
+	"github.com/mudler/LocalAI/core/services/galleryop"
+	"github.com/mudler/LocalAI/pkg/model"
+	"github.com/mudler/LocalAI/pkg/utils"
+	"github.com/mudler/xlog"
+	"gopkg.in/yaml.v3"
+)
+
+// ConfigMetadataEndpoint returns field metadata for config fields.
+// Without ?section, returns just the section index (lightweight).
+// With ?section=<id>, returns fields for that section only.
+// With ?section=all, returns all fields grouped by section.
+// @Summary List model configuration field metadata
+// @Description Returns config field metadata. Use ?section=<id> to filter by section, or omit for a section index.
+// @Tags config
+// @Produce json
+// @Param section query string false "Section ID to filter (e.g. 'general', 'llm', 'parameters') or 'all' for everything"
+// @Success 200 {object} map[string]any "Section index or filtered field metadata"
+// @Router /api/models/config-metadata [get]
+func ConfigMetadataEndpoint() echo.HandlerFunc {
+	return func(c echo.Context) error {
+		sectionParam := c.QueryParam("section")
+
+		// No section param: return lightweight section index.
+		if sectionParam == "" {
+			sections := meta.DefaultSections()
+			type sectionInfo struct {
+				ID    string `json:"id"`
+				Label string `json:"label"`
+				URL   string `json:"url"`
+			}
+			index := make([]sectionInfo, len(sections))
+			for i, s := range sections {
+				index[i] = sectionInfo{
+					ID:    s.ID,
+					Label: s.Label,
+					URL:   "/api/models/config-metadata?section=" + s.ID,
+				}
+			}
+			return c.JSON(http.StatusOK, map[string]any{
+				"hint":     "Fetch a section URL to see its fields. Use ?section=all for everything.",
+				"sections": index,
+			})
+		}
+
+		md := meta.BuildConfigMetadata(reflect.TypeOf(config.ModelConfig{}))
+
+		// section=all: return everything.
+		if sectionParam == "all" {
+			return c.JSON(http.StatusOK, md)
+		}
+
+		// Filter to requested section.
+		var filtered []meta.FieldMeta
+		for _, f := range md.Fields {
+			if f.Section == sectionParam {
+				filtered = append(filtered, f)
+			}
+		}
+		if len(filtered) == 0 {
+			return c.JSON(http.StatusNotFound, map[string]any{"error": "unknown section: " + sectionParam})
+		}
+		return c.JSON(http.StatusOK, filtered)
+	}
+}
+
+// AutocompleteEndpoint handles dynamic autocomplete lookups for config fields.
+// Static option lists (quantizations, cache types, diffusers pipelines/schedulers)
+// are embedded directly in the field metadata Options; only truly dynamic values
+// that require runtime lookup are served here.
+// @Summary Get dynamic autocomplete values for a config field
+// @Description Returns runtime-resolved values for dynamic providers (backends, models)
+// @Tags config
+// @Produce json
+// @Param provider path string true "Provider name (backends, models, models:chat, models:tts, models:transcript, models:vad)"
+// @Success 200 {object} map[string]any "values array"
+// @Router /api/models/config-metadata/autocomplete/{provider} [get]
+func AutocompleteEndpoint(cl *config.ModelConfigLoader, ml *model.ModelLoader, appConfig *config.ApplicationConfig) echo.HandlerFunc {
+	return func(c echo.Context) error {
+		provider := c.Param("provider")
+		var values []string
+
+		switch {
+		case provider == meta.ProviderBackends:
+			installedBackends, err := gallery.ListSystemBackends(appConfig.SystemState)
+			if err == nil {
+				for name := range installedBackends {
+					values = append(values, name)
+				}
+			}
+			sort.Strings(values)
+
+		case provider == meta.ProviderModels:
+			modelConfigs := cl.GetAllModelsConfigs()
+			for _, cfg := range modelConfigs {
+				values = append(values, cfg.Name)
+			}
+			modelsWithoutConfig, _ := galleryop.ListModels(cl, ml, config.NoFilterFn, galleryop.LOOSE_ONLY)
+			values = append(values, modelsWithoutConfig...)
+			sort.Strings(values)
+
+		case strings.HasPrefix(provider, "models:"):
+			capability := strings.TrimPrefix(provider, "models:")
+			var filterFn config.ModelConfigFilterFn
+			switch capability {
+			case "chat":
+				filterFn = config.BuildUsecaseFilterFn(config.FLAG_CHAT)
+			case "tts":
+				filterFn = config.BuildUsecaseFilterFn(config.FLAG_TTS)
+			case "vad":
+				filterFn = config.BuildUsecaseFilterFn(config.FLAG_VAD)
+			case "transcript":
+				filterFn = config.BuildUsecaseFilterFn(config.FLAG_TRANSCRIPT)
+			default:
+				filterFn = config.NoFilterFn
+			}
+			filteredConfigs := cl.GetModelConfigsByFilter(filterFn)
+			for _, cfg := range filteredConfigs {
+				values = append(values, cfg.Name)
+			}
+			sort.Strings(values)
+
+		default:
+			return c.JSON(http.StatusNotFound, map[string]any{"error": "unknown provider: " + provider})
+		}
+
+		return c.JSON(http.StatusOK, map[string]any{"values": values})
+	}
+}
+
+// PatchConfigEndpoint handles PATCH requests to partially update a model config
+// using nested JSON merge.
+// @Summary Partially update a model configuration
+// @Description Deep-merges the JSON patch body into the existing model config
+// @Tags config
+// @Accept json
+// @Produce json
+// @Param name path string true "Model name"
+// @Success 200 {object} map[string]any "success message"
+// @Router /api/models/config-json/{name} [patch]
+func PatchConfigEndpoint(cl *config.ModelConfigLoader, _ *model.ModelLoader, appConfig *config.ApplicationConfig) echo.HandlerFunc {
+	return func(c echo.Context) error {
+		modelName := c.Param("name")
+		if decoded, err := url.PathUnescape(modelName); err == nil {
+			modelName = decoded
+		}
+		if modelName == "" {
+			return c.JSON(http.StatusBadRequest, map[string]any{"error": "model name is required"})
+		}
+
+		modelConfig, exists := cl.GetModelConfig(modelName)
+		if !exists {
+			return c.JSON(http.StatusNotFound, map[string]any{"error": "model configuration not found"})
+		}
+
+		patchBody, err := io.ReadAll(c.Request().Body)
+		if err != nil || len(patchBody) == 0 {
+			return c.JSON(http.StatusBadRequest, map[string]any{"error": "request body is empty or unreadable"})
+		}
+
+		var patchMap map[string]any
+		if err := json.Unmarshal(patchBody, &patchMap); err != nil {
+			return c.JSON(http.StatusBadRequest, map[string]any{"error": "invalid JSON: " + err.Error()})
+		}
+
+		// Read the raw YAML from disk rather than serializing the in-memory config.
+		// The in-memory config has SetDefaults() applied, which would persist
+		// runtime-only defaults (top_p, temperature, mirostat, etc.) to the file.
+		configPath := modelConfig.GetModelConfigFile()
+		if err := utils.VerifyPath(configPath, appConfig.SystemState.Model.ModelsPath); err != nil {
+			return c.JSON(http.StatusForbidden, map[string]any{"error": "config path not trusted: " + err.Error()})
+		}
+
+		diskYAML, err := os.ReadFile(configPath)
+		if err != nil {
+			return c.JSON(http.StatusInternalServerError, map[string]any{"error": "failed to read config file: " + err.Error()})
+		}
+
+		var existingMap map[string]any
+		if err := yaml.Unmarshal(diskYAML, &existingMap); err != nil {
+			return c.JSON(http.StatusInternalServerError, map[string]any{"error": "failed to parse existing config: " + err.Error()})
+		}
+		if existingMap == nil {
+			existingMap = map[string]any{}
+		}
+
+		if err := mergo.Merge(&existingMap, patchMap, mergo.WithOverride); err != nil {
+			return c.JSON(http.StatusInternalServerError, map[string]any{"error": "failed to merge configs: " + err.Error()})
+		}
+
+		// Marshal once and reuse for both validation and writing
+		yamlData, err := yaml.Marshal(existingMap)
+		if err != nil {
+			return c.JSON(http.StatusInternalServerError, map[string]any{"error": "failed to marshal YAML"})
+		}
+
+		var updatedConfig config.ModelConfig
+		if err := yaml.Unmarshal(yamlData, &updatedConfig); err != nil {
+			return c.JSON(http.StatusBadRequest, map[string]any{"error": "merged config is invalid: " + err.Error()})
+		}
+
+		if valid, err := updatedConfig.Validate(); !valid {
+			errMsg := "validation failed"
+			if err != nil {
+				errMsg = err.Error()
+			}
+			return c.JSON(http.StatusBadRequest, map[string]any{"error": errMsg})
+		}
+
+		if err := os.WriteFile(configPath, yamlData, 0644); err != nil {
+			return c.JSON(http.StatusInternalServerError, map[string]any{"error": "failed to write config file"})
+		}
+
+		if err := cl.LoadModelConfigsFromPath(appConfig.SystemState.Model.ModelsPath, appConfig.ToConfigLoaderOptions()...); err != nil {
+			return c.JSON(http.StatusInternalServerError, map[string]any{"error": "failed to reload configs: " + err.Error()})
+		}
+
+		if err := cl.Preload(appConfig.SystemState.Model.ModelsPath); err != nil {
+			xlog.Warn("Failed to preload after PATCH", "error", err)
+		}
+
+		return c.JSON(http.StatusOK, map[string]any{
+			"success": true,
+			"message": fmt.Sprintf("Model '%s' updated successfully", modelName),
+		})
+	}
+}

core/http/endpoints/localai/config_meta_test.go

@@ -0,0 +1,292 @@
+package localai_test
+
+import (
+	"bytes"
+	"encoding/json"
+	"net/http"
+	"net/http/httptest"
+	"os"
+	"path/filepath"
+
+	"github.com/labstack/echo/v4"
+	"github.com/mudler/LocalAI/core/config"
+	. "github.com/mudler/LocalAI/core/http/endpoints/localai"
+	"github.com/mudler/LocalAI/pkg/model"
+	"github.com/mudler/LocalAI/pkg/system"
+	. "github.com/onsi/ginkgo/v2"
+	. "github.com/onsi/gomega"
+)
+
+var _ = Describe("Config Metadata Endpoints", func() {
+	var (
+		app          *echo.Echo
+		tempDir      string
+		configLoader *config.ModelConfigLoader
+		modelLoader  *model.ModelLoader
+		appConfig    *config.ApplicationConfig
+	)
+
+	BeforeEach(func() {
+		var err error
+		tempDir, err = os.MkdirTemp("", "config-meta-test-*")
+		Expect(err).NotTo(HaveOccurred())
+
+		systemState, err := system.GetSystemState(
+			system.WithModelPath(tempDir),
+		)
+		Expect(err).NotTo(HaveOccurred())
+
+		appConfig = config.NewApplicationConfig(
+			config.WithSystemState(systemState),
+		)
+		configLoader = config.NewModelConfigLoader(tempDir)
+		modelLoader = model.NewModelLoader(systemState)
+
+		app = echo.New()
+		app.GET("/api/models/config-metadata", ConfigMetadataEndpoint())
+		app.GET("/api/models/config-metadata/autocomplete/:provider", AutocompleteEndpoint(configLoader, modelLoader, appConfig))
+		app.PATCH("/api/models/config-json/:name", PatchConfigEndpoint(configLoader, modelLoader, appConfig))
+	})
+
+	AfterEach(func() {
+		os.RemoveAll(tempDir)
+	})
+
+	Context("GET /api/models/config-metadata", func() {
+		It("should return section index when no section param", func() {
+			req := httptest.NewRequest(http.MethodGet, "/api/models/config-metadata", nil)
+			rec := httptest.NewRecorder()
+			app.ServeHTTP(rec, req)
+
+			Expect(rec.Code).To(Equal(http.StatusOK))
+
+			var resp map[string]any
+			Expect(json.Unmarshal(rec.Body.Bytes(), &resp)).To(Succeed())
+			Expect(resp).To(HaveKey("hint"))
+			Expect(resp).To(HaveKey("sections"))
+
+			sections, ok := resp["sections"].([]any)
+			Expect(ok).To(BeTrue())
+			Expect(sections).NotTo(BeEmpty())
+
+			// Verify known section IDs are present
+			ids := make([]string, len(sections))
+			for i, s := range sections {
+				sec := s.(map[string]any)
+				Expect(sec).To(HaveKey("id"))
+				Expect(sec).To(HaveKey("label"))
+				Expect(sec).To(HaveKey("url"))
+				ids[i] = sec["id"].(string)
+			}
+			Expect(ids).To(ContainElements("general", "parameters"))
+		})
+
+		It("should return all fields when section=all", func() {
+			req := httptest.NewRequest(http.MethodGet, "/api/models/config-metadata?section=all", nil)
+			rec := httptest.NewRecorder()
+			app.ServeHTTP(rec, req)
+
+			Expect(rec.Code).To(Equal(http.StatusOK))
+
+			var resp map[string]any
+			Expect(json.Unmarshal(rec.Body.Bytes(), &resp)).To(Succeed())
+			Expect(resp).To(HaveKey("fields"))
+
+			fields, ok := resp["fields"].([]any)
+			Expect(ok).To(BeTrue())
+			Expect(len(fields)).To(BeNumerically(">=", 80))
+		})
+
+		It("should filter by section", func() {
+			req := httptest.NewRequest(http.MethodGet, "/api/models/config-metadata?section=general", nil)
+			rec := httptest.NewRecorder()
+			app.ServeHTTP(rec, req)
+
+			Expect(rec.Code).To(Equal(http.StatusOK))
+
+			var fields []map[string]any
+			Expect(json.Unmarshal(rec.Body.Bytes(), &fields)).To(Succeed())
+			Expect(fields).NotTo(BeEmpty())
+
+			for _, f := range fields {
+				Expect(f["section"]).To(Equal("general"))
+			}
+		})
+
+		It("should return 404 for unknown section", func() {
+			req := httptest.NewRequest(http.MethodGet, "/api/models/config-metadata?section=nonexistent", nil)
+			rec := httptest.NewRecorder()
+			app.ServeHTTP(rec, req)
+
+			Expect(rec.Code).To(Equal(http.StatusNotFound))
+		})
+	})
+
+	Context("GET /api/models/config-metadata/autocomplete/:provider", func() {
+		It("should return values for backends provider", func() {
+			req := httptest.NewRequest(http.MethodGet, "/api/models/config-metadata/autocomplete/backends", nil)
+			rec := httptest.NewRecorder()
+			app.ServeHTTP(rec, req)
+
+			Expect(rec.Code).To(Equal(http.StatusOK))
+
+			var resp map[string]any
+			Expect(json.Unmarshal(rec.Body.Bytes(), &resp)).To(Succeed())
+			Expect(resp).To(HaveKey("values"))
+		})
+
+		It("should return model names for models provider", func() {
+			// Seed a model config
+			seedConfig := `name: test-model
+backend: llama-cpp
+`
+			Expect(os.WriteFile(filepath.Join(tempDir, "test-model.yaml"), []byte(seedConfig), 0644)).To(Succeed())
+			Expect(configLoader.LoadModelConfigsFromPath(tempDir)).To(Succeed())
+
+			req := httptest.NewRequest(http.MethodGet, "/api/models/config-metadata/autocomplete/models", nil)
+			rec := httptest.NewRecorder()
+			app.ServeHTTP(rec, req)
+
+			Expect(rec.Code).To(Equal(http.StatusOK))
+
+			var resp map[string]any
+			Expect(json.Unmarshal(rec.Body.Bytes(), &resp)).To(Succeed())
+
+			values, ok := resp["values"].([]any)
+			Expect(ok).To(BeTrue())
+			Expect(values).To(ContainElement("test-model"))
+		})
+
+		It("should return 404 for unknown provider", func() {
+			req := httptest.NewRequest(http.MethodGet, "/api/models/config-metadata/autocomplete/unknown", nil)
+			rec := httptest.NewRecorder()
+			app.ServeHTTP(rec, req)
+
+			Expect(rec.Code).To(Equal(http.StatusNotFound))
+		})
+	})
+
+	Context("PATCH /api/models/config-json/:name", func() {
+		It("should return 404 for nonexistent model", func() {
+			body := bytes.NewBufferString(`{"backend": "bar"}`)
+			req := httptest.NewRequest(http.MethodPatch, "/api/models/config-json/nonexistent", body)
+			req.Header.Set("Content-Type", "application/json")
+			rec := httptest.NewRecorder()
+			app.ServeHTTP(rec, req)
+
+			Expect(rec.Code).To(Equal(http.StatusNotFound))
+		})
+
+		It("should return 400 for empty body", func() {
+			// Seed a model config
+			seedConfig := `name: test-model
+backend: llama-cpp
+`
+			Expect(os.WriteFile(filepath.Join(tempDir, "test-model.yaml"), []byte(seedConfig), 0644)).To(Succeed())
+			Expect(configLoader.LoadModelConfigsFromPath(tempDir)).To(Succeed())
+
+			req := httptest.NewRequest(http.MethodPatch, "/api/models/config-json/test-model", nil)
+			req.Header.Set("Content-Type", "application/json")
+			rec := httptest.NewRecorder()
+			app.ServeHTTP(rec, req)
+
+			Expect(rec.Code).To(Equal(http.StatusBadRequest))
+		})
+
+		It("should return 400 for invalid JSON", func() {
+			seedConfig := `name: test-model
+backend: llama-cpp
+`
+			Expect(os.WriteFile(filepath.Join(tempDir, "test-model.yaml"), []byte(seedConfig), 0644)).To(Succeed())
+			Expect(configLoader.LoadModelConfigsFromPath(tempDir)).To(Succeed())
+
+			body := bytes.NewBufferString(`not json`)
+			req := httptest.NewRequest(http.MethodPatch, "/api/models/config-json/test-model", body)
+			req.Header.Set("Content-Type", "application/json")
+			rec := httptest.NewRecorder()
+			app.ServeHTTP(rec, req)
+
+			Expect(rec.Code).To(Equal(http.StatusBadRequest))
+		})
+
+		It("should merge a field update and persist to disk", func() {
+			seedConfig := `name: test-model
+backend: llama-cpp
+`
+			configPath := filepath.Join(tempDir, "test-model.yaml")
+			Expect(os.WriteFile(configPath, []byte(seedConfig), 0644)).To(Succeed())
+			Expect(configLoader.LoadModelConfigsFromPath(tempDir)).To(Succeed())
+
+			body := bytes.NewBufferString(`{"backend": "vllm"}`)
+			req := httptest.NewRequest(http.MethodPatch, "/api/models/config-json/test-model", body)
+			req.Header.Set("Content-Type", "application/json")
+			rec := httptest.NewRecorder()
+			app.ServeHTTP(rec, req)
+
+			Expect(rec.Code).To(Equal(http.StatusOK))
+
+			var resp map[string]any
+			Expect(json.Unmarshal(rec.Body.Bytes(), &resp)).To(Succeed())
+			Expect(resp["success"]).To(BeTrue())
+
+			// Verify the reloaded config has the updated value
+			updatedConfig, exists := configLoader.GetModelConfig("test-model")
+			Expect(exists).To(BeTrue())
+			Expect(updatedConfig.Backend).To(Equal("vllm"))
+
+			// Verify the file on disk was updated
+			data, err := os.ReadFile(configPath)
+			Expect(err).NotTo(HaveOccurred())
+			Expect(string(data)).To(ContainSubstring("vllm"))
+		})
+
+		It("should not persist runtime defaults (SetDefaults values) to disk", func() {
+			// Create a minimal pipeline config - no sampling params
+			seedConfig := `name: gpt-realtime
+pipeline:
+    vad: silero-vad
+    transcription: whisper-base
+    llm: llama3
+    tts: piper
+`
+			configPath := filepath.Join(tempDir, "gpt-realtime.yaml")
+			Expect(os.WriteFile(configPath, []byte(seedConfig), 0644)).To(Succeed())
+			Expect(configLoader.LoadModelConfigsFromPath(tempDir)).To(Succeed())
+
+			// PATCH with a small change to the pipeline
+			body := bytes.NewBufferString(`{"pipeline": {"tts": "vibevoice"}}`)
+			req := httptest.NewRequest(http.MethodPatch, "/api/models/config-json/gpt-realtime", body)
+			req.Header.Set("Content-Type", "application/json")
+			rec := httptest.NewRecorder()
+			app.ServeHTTP(rec, req)
+
+			Expect(rec.Code).To(Equal(http.StatusOK))
+
+			// Read the file from disk and verify no spurious defaults leaked
+			data, err := os.ReadFile(configPath)
+			Expect(err).NotTo(HaveOccurred())
+			fileContent := string(data)
+
+			// The patched value should be present
+			Expect(fileContent).To(ContainSubstring("vibevoice"))
+
+			// Runtime-only defaults from SetDefaults() should NOT be in the file
+			Expect(fileContent).NotTo(ContainSubstring("top_p"))
+			Expect(fileContent).NotTo(ContainSubstring("top_k"))
+			Expect(fileContent).NotTo(ContainSubstring("temperature"))
+			Expect(fileContent).NotTo(ContainSubstring("mirostat"))
+			Expect(fileContent).NotTo(ContainSubstring("mmap"))
+			Expect(fileContent).NotTo(ContainSubstring("mmlock"))
+			Expect(fileContent).NotTo(ContainSubstring("threads"))
+			Expect(fileContent).NotTo(ContainSubstring("low_vram"))
+			Expect(fileContent).NotTo(ContainSubstring("embeddings"))
+			Expect(fileContent).NotTo(ContainSubstring("f16"))
+
+			// Original fields should still be present
+			Expect(fileContent).To(ContainSubstring("gpt-realtime"))
+			Expect(fileContent).To(ContainSubstring("silero-vad"))
+			Expect(fileContent).To(ContainSubstring("whisper-base"))
+			Expect(fileContent).To(ContainSubstring("llama3"))
+		})
+	})
+})

core/http/endpoints/localai/detection.go

@@ -1,6 +1,8 @@
 package localai
 
 import (
+	"encoding/base64"
+
 	"github.com/labstack/echo/v4"
 	"github.com/mudler/LocalAI/core/backend"
 	"github.com/mudler/LocalAI/core/config"
@@ -13,6 +15,7 @@ import (
 
 // DetectionEndpoint is the LocalAI Detection endpoint https://localai.io/docs/api-reference/detection
 // @Summary Detects objects in the input image.
+// @Tags detection
 // @Param request body schema.DetectionRequest true "query params"
 // @Success 200 {object} schema.DetectionResponse "Response"
 // @Router /v1/detection [post]
@@ -36,7 +39,7 @@ func DetectionEndpoint(cl *config.ModelConfigLoader, ml *model.ModelLoader, appC
 			return err
 		}
 
-		res, err := backend.Detection(image, ml, appConfig, *cfg)
+		res, err := backend.Detection(image, input.Prompt, input.Points, input.Boxes, input.Threshold, ml, appConfig, *cfg)
 		if err != nil {
 			return err
 		}
@@ -45,12 +48,18 @@ func DetectionEndpoint(cl *config.ModelConfigLoader, ml *model.ModelLoader, appC
 			Detections: make([]schema.Detection, len(res.Detections)),
 		}
 		for i, detection := range res.Detections {
+			var mask string
+			if len(detection.Mask) > 0 {
+				mask = base64.StdEncoding.EncodeToString(detection.Mask)
+			}
 			response.Detections[i] = schema.Detection{
-				X:         detection.X,
+				X:          detection.X,
-				Y:         detection.Y,
+				Y:          detection.Y,
-				Width:     detection.Width,
+				Width:      detection.Width,
-				Height:    detection.Height,
+				Height:     detection.Height,
-				ClassName: detection.ClassName,
+				ClassName:  detection.ClassName,
+				Confidence: detection.Confidence,
+				Mask:       mask,
 			}
 		}
 

core/http/endpoints/localai/gallery.go

@@ -40,6 +40,7 @@ func CreateModelGalleryEndpointService(galleries []config.Gallery, backendGaller
 
 // GetOpStatusEndpoint returns the job status
 // @Summary Returns the job status
+// @Tags models
 // @Success 200 {object} galleryop.OpStatus "Response"
 // @Router /models/jobs/{uuid} [get]
 func (mgs *ModelGalleryEndpointService) GetOpStatusEndpoint() echo.HandlerFunc {
@@ -54,6 +55,7 @@ func (mgs *ModelGalleryEndpointService) GetOpStatusEndpoint() echo.HandlerFunc {
 
 // GetAllStatusEndpoint returns all the jobs status progress
 // @Summary Returns all the jobs status progress
+// @Tags models
 // @Success 200 {object} map[string]galleryop.OpStatus "Response"
 // @Router /models/jobs [get]
 func (mgs *ModelGalleryEndpointService) GetAllStatusEndpoint() echo.HandlerFunc {
@@ -64,6 +66,7 @@ func (mgs *ModelGalleryEndpointService) GetAllStatusEndpoint() echo.HandlerFunc
 
 // ApplyModelGalleryEndpoint installs a new model to a LocalAI instance from the model gallery
 // @Summary Install models to LocalAI.
+// @Tags models
 // @Param request body GalleryModel true "query params"
 // @Success 200 {object} schema.GalleryResponse "Response"
 // @Router /models/apply [post]
@@ -93,6 +96,7 @@ func (mgs *ModelGalleryEndpointService) ApplyModelGalleryEndpoint() echo.Handler
 
 // DeleteModelGalleryEndpoint lets delete models from a LocalAI instance
 // @Summary delete models to LocalAI.
+// @Tags models
 // @Param name	path string	true	"Model name"
 // @Success 200 {object} schema.GalleryResponse "Response"
 // @Router /models/delete/{name} [post]
@@ -118,7 +122,8 @@ func (mgs *ModelGalleryEndpointService) DeleteModelGalleryEndpoint() echo.Handle
 
 // ListModelFromGalleryEndpoint list the available models for installation from the active galleries
 // @Summary List installable models.
-// @Success 200 {object} []gallery.GalleryModel "Response"
+// @Tags models
+// @Success 200 {object} []gallery.Metadata "Response"
 // @Router /models/available [get]
 func (mgs *ModelGalleryEndpointService) ListModelFromGalleryEndpoint(systemState *system.SystemState) echo.HandlerFunc {
 	return func(c echo.Context) error {
@@ -149,6 +154,7 @@ func (mgs *ModelGalleryEndpointService) ListModelFromGalleryEndpoint(systemState
 
 // ListModelGalleriesEndpoint list the available galleries configured in LocalAI
 // @Summary List all Galleries
+// @Tags models
 // @Success 200 {object} []config.Gallery "Response"
 // @Router /models/galleries [get]
 // NOTE: This is different (and much simpler!) than above! This JUST lists the model galleries that have been loaded, not their contents!

core/http/endpoints/localai/get_token_metrics.go

@@ -16,6 +16,7 @@ import (
 // TokenMetricsEndpoint is an endpoint to get TokensProcessed Per Second for Active SlotID
 //
 //	@Summary	Get TokenMetrics for Active Slot.
+//	@Tags tokenize
 //	@Accept json
 //	@Produce audio/x-wav
 //	@Success	200		{string}	binary				"generated audio/wav file"

core/http/endpoints/localai/import_model.go

@@ -119,48 +119,20 @@ func ImportModelEndpoint(cl *config.ModelConfigLoader, appConfig *config.Applica
 			return c.JSON(http.StatusBadRequest, response)
 		}
 
-		// Check content type to determine how to parse
+		// Detect format once and reuse for both typed and map parsing
 		contentType := c.Request().Header.Get("Content-Type")
-		var modelConfig config.ModelConfig
+		trimmed := strings.TrimSpace(string(body))
+		isJSON := strings.Contains(contentType, "application/json") ||
+			(!strings.Contains(contentType, "yaml") && len(trimmed) > 0 && trimmed[0] == '{')
 
-		if strings.Contains(contentType, "application/json") {
+		var modelConfig config.ModelConfig
-			// Parse JSON
+		if isJSON {
 			if err := json.Unmarshal(body, &modelConfig); err != nil {
-				response := ModelResponse{
+				return c.JSON(http.StatusBadRequest, ModelResponse{Success: false, Error: "Failed to parse JSON: " + err.Error()})
-					Success: false,
-					Error:   "Failed to parse JSON: " + err.Error(),
-				}
-				return c.JSON(http.StatusBadRequest, response)
-			}
-		} else if strings.Contains(contentType, "application/x-yaml") || strings.Contains(contentType, "text/yaml") {
-			// Parse YAML
-			if err := yaml.Unmarshal(body, &modelConfig); err != nil {
-				response := ModelResponse{
-					Success: false,
-					Error:   "Failed to parse YAML: " + err.Error(),
-				}
-				return c.JSON(http.StatusBadRequest, response)
 			}
 		} else {
-			// Try to auto-detect format
+			if err := yaml.Unmarshal(body, &modelConfig); err != nil {
-			if len(body) > 0 && strings.TrimSpace(string(body))[0] == '{' {
+				return c.JSON(http.StatusBadRequest, ModelResponse{Success: false, Error: "Failed to parse YAML: " + err.Error()})
-				// Looks like JSON
-				if err := json.Unmarshal(body, &modelConfig); err != nil {
-					response := ModelResponse{
-						Success: false,
-						Error:   "Failed to parse JSON: " + err.Error(),
-					}
-					return c.JSON(http.StatusBadRequest, response)
-				}
-			} else {
-				// Assume YAML
-				if err := yaml.Unmarshal(body, &modelConfig); err != nil {
-					response := ModelResponse{
-						Success: false,
-						Error:   "Failed to parse YAML: " + err.Error(),
-					}
-					return c.JSON(http.StatusBadRequest, response)
-				}
 			}
 		}
 
@@ -173,10 +145,9 @@ func ImportModelEndpoint(cl *config.ModelConfigLoader, appConfig *config.Applica
 			return c.JSON(http.StatusBadRequest, response)
 		}
 
-		// Set defaults
+		// Validate without calling SetDefaults() — runtime defaults should not
-		modelConfig.SetDefaults(appConfig.ToConfigLoaderOptions()...)
+		// be persisted to disk. SetDefaults() is called when loading configs
-
+		// for inference via LoadModelConfigsFromPath().
-		// Validate the configuration
 		if valid, _ := modelConfig.Validate(); !valid {
 			response := ModelResponse{
 				Success: false,
@@ -195,8 +166,21 @@ func ImportModelEndpoint(cl *config.ModelConfigLoader, appConfig *config.Applica
 			return c.JSON(http.StatusBadRequest, response)
 		}
 
-		// Marshal to YAML for storage
+		// Write only the user-provided fields to disk by parsing the original
-		yamlData, err := yaml.Marshal(&modelConfig)
+		// body into a map (not the typed struct, which includes Go zero values).
+		var bodyMap map[string]any
+		if isJSON {
+			_ = json.Unmarshal(body, &bodyMap)
+		} else {
+			_ = yaml.Unmarshal(body, &bodyMap)
+		}
+
+		var yamlData []byte
+		if bodyMap != nil {
+			yamlData, err = yaml.Marshal(bodyMap)
+		} else {
+			yamlData, err = yaml.Marshal(&modelConfig)
+		}
 		if err != nil {
 			response := ModelResponse{
 				Success: false,

core/http/endpoints/localai/mcp.go

@@ -53,6 +53,7 @@ type MCPErrorEvent struct {
 // which handles MCP tool injection and server-side execution.
 // Both streaming and non-streaming modes use standard OpenAI response format.
 // @Summary MCP chat completions with automatic tool execution
+// @Tags mcp
 // @Param request body schema.OpenAIRequest true "query params"
 // @Success 200 {object} schema.OpenAIResponse "Response"
 // @Router /v1/mcp/chat/completions [post]

core/http/endpoints/localai/metrics.go

@@ -10,7 +10,9 @@ import (
 
 // LocalAIMetricsEndpoint returns the metrics endpoint for LocalAI
 // @Summary Prometheus metrics endpoint
-// @Param request body config.Gallery true "Gallery details"
+// @Tags monitoring
+// @Produce text/plain
+// @Success 200 {string} string "Prometheus metrics"
 // @Router /metrics [get]
 func LocalAIMetricsEndpoint() echo.HandlerFunc {
 	return echo.WrapHandler(promhttp.Handler())

core/http/endpoints/localai/p2p.go

@@ -9,6 +9,7 @@ import (
 
 // ShowP2PNodes returns the P2P Nodes
 // @Summary Returns available P2P nodes
+// @Tags p2p
 // @Success 200 {object} []schema.P2PNodesResponse "Response"
 // @Router /api/p2p [get]
 func ShowP2PNodes(appConfig *config.ApplicationConfig) echo.HandlerFunc {
@@ -24,6 +25,7 @@ func ShowP2PNodes(appConfig *config.ApplicationConfig) echo.HandlerFunc {
 
 // ShowP2PToken returns the P2P token
 // @Summary Show the P2P token
+// @Tags p2p
 // @Success 200 {string} string	 "Response"
 // @Router /api/p2p/token [get]
 func ShowP2PToken(appConfig *config.ApplicationConfig) echo.HandlerFunc {

core/http/endpoints/localai/pin_model.go

@@ -0,0 +1,144 @@
+package localai
+
+import (
+	"fmt"
+	"net/http"
+	"net/url"
+	"os"
+
+	"github.com/labstack/echo/v4"
+	"github.com/mudler/LocalAI/core/config"
+	"github.com/mudler/LocalAI/pkg/utils"
+
+	"gopkg.in/yaml.v3"
+)
+
+// TogglePinnedModelEndpoint handles pinning or unpinning a model.
+// Pinned models are excluded from idle unloading, LRU eviction, and memory-pressure eviction.
+//
+// @Summary      Toggle model pinned status
+// @Description  Pin or unpin a model. Pinned models stay loaded and are excluded from automatic eviction.
+// @Tags         config
+// @Param        name    path  string  true  "Model name"
+// @Param        action  path  string  true  "Action: 'pin' or 'unpin'"
+// @Success      200  {object}  ModelResponse
+// @Failure      400  {object}  ModelResponse
+// @Failure      404  {object}  ModelResponse
+// @Failure      500  {object}  ModelResponse
+// @Router       /api/models/toggle-pinned/{name}/{action} [put]
+func TogglePinnedModelEndpoint(cl *config.ModelConfigLoader, appConfig *config.ApplicationConfig, syncPinnedFn func()) echo.HandlerFunc {
+	return func(c echo.Context) error {
+		modelName := c.Param("name")
+		if decoded, err := url.PathUnescape(modelName); err == nil {
+			modelName = decoded
+		}
+		if modelName == "" {
+			return c.JSON(http.StatusBadRequest, ModelResponse{
+				Success: false,
+				Error:   "Model name is required",
+			})
+		}
+
+		action := c.Param("action")
+		if action != "pin" && action != "unpin" {
+			return c.JSON(http.StatusBadRequest, ModelResponse{
+				Success: false,
+				Error:   "Action must be 'pin' or 'unpin'",
+			})
+		}
+
+		// Get existing model config
+		modelConfig, exists := cl.GetModelConfig(modelName)
+		if !exists {
+			return c.JSON(http.StatusNotFound, ModelResponse{
+				Success: false,
+				Error:   "Model configuration not found",
+			})
+		}
+
+		// Get the config file path
+		configPath := modelConfig.GetModelConfigFile()
+		if configPath == "" {
+			return c.JSON(http.StatusNotFound, ModelResponse{
+				Success: false,
+				Error:   "Model configuration file not found",
+			})
+		}
+
+		// Verify the path is trusted
+		if err := utils.VerifyPath(configPath, appConfig.SystemState.Model.ModelsPath); err != nil {
+			return c.JSON(http.StatusForbidden, ModelResponse{
+				Success: false,
+				Error:   "Model configuration not trusted: " + err.Error(),
+			})
+		}
+
+		// Read the existing config file
+		configData, err := os.ReadFile(configPath)
+		if err != nil {
+			return c.JSON(http.StatusInternalServerError, ModelResponse{
+				Success: false,
+				Error:   "Failed to read configuration file: " + err.Error(),
+			})
+		}
+
+		// Parse the YAML config as a generic map to preserve all fields
+		var configMap map[string]interface{}
+		if err := yaml.Unmarshal(configData, &configMap); err != nil {
+			return c.JSON(http.StatusInternalServerError, ModelResponse{
+				Success: false,
+				Error:   "Failed to parse configuration file: " + err.Error(),
+			})
+		}
+
+		// Update the pinned field
+		pinned := action == "pin"
+		if pinned {
+			configMap["pinned"] = true
+		} else {
+			// Remove the pinned key entirely when unpinning (clean YAML)
+			delete(configMap, "pinned")
+		}
+
+		// Marshal back to YAML
+		updatedData, err := yaml.Marshal(configMap)
+		if err != nil {
+			return c.JSON(http.StatusInternalServerError, ModelResponse{
+				Success: false,
+				Error:   "Failed to serialize configuration: " + err.Error(),
+			})
+		}
+
+		// Write updated config back to file
+		if err := os.WriteFile(configPath, updatedData, 0644); err != nil {
+			return c.JSON(http.StatusInternalServerError, ModelResponse{
+				Success: false,
+				Error:   "Failed to write configuration file: " + err.Error(),
+			})
+		}
+
+		// Reload model configurations from disk
+		if err := cl.LoadModelConfigsFromPath(appConfig.SystemState.Model.ModelsPath, appConfig.ToConfigLoaderOptions()...); err != nil {
+			return c.JSON(http.StatusInternalServerError, ModelResponse{
+				Success: false,
+				Error:   "Failed to reload configurations: " + err.Error(),
+			})
+		}
+
+		// Sync pinned models to the watchdog
+		if syncPinnedFn != nil {
+			syncPinnedFn()
+		}
+
+		msg := fmt.Sprintf("Model '%s' has been %sned successfully.", modelName, action)
+		if pinned {
+			msg += " The model will be excluded from automatic eviction."
+		}
+
+		return c.JSON(http.StatusOK, ModelResponse{
+			Success:  true,
+			Message:  msg,
+			Filename: configPath,
+		})
+	}
+}

core/http/endpoints/localai/system.go

@@ -9,6 +9,7 @@ import (
 
 // SystemInformations returns the system informations
 // @Summary Show the LocalAI instance information
+// @Tags monitoring
 // @Success 200 {object} schema.SystemInformationResponse "Response"
 // @Router /system [get]
 func SystemInformations(ml *model.ModelLoader, appConfig *config.ApplicationConfig) echo.HandlerFunc {

core/http/endpoints/localai/toggle_model.go

@@ -0,0 +1,148 @@
+package localai
+
+import (
+	"fmt"
+	"net/http"
+	"net/url"
+	"os"
+
+	"github.com/labstack/echo/v4"
+	"github.com/mudler/LocalAI/core/config"
+	"github.com/mudler/LocalAI/pkg/model"
+	"github.com/mudler/LocalAI/pkg/utils"
+
+	"gopkg.in/yaml.v3"
+)
+
+// ToggleModelEndpoint handles enabling or disabling a model from being loaded on demand.
+// When disabled, the model remains in the collection but will not be loaded when requested.
+//
+// @Summary      Toggle model enabled/disabled status
+// @Description  Enable or disable a model from being loaded on demand. Disabled models remain installed but cannot be loaded.
+// @Tags         config
+// @Param        name  path  string  true  "Model name"
+// @Param        action  path  string  true  "Action: 'enable' or 'disable'"
+// @Success      200  {object}  ModelResponse
+// @Failure      400  {object}  ModelResponse
+// @Failure      404  {object}  ModelResponse
+// @Failure      500  {object}  ModelResponse
+// @Router       /api/models/{name}/{action} [put]
+func ToggleStateModelEndpoint(cl *config.ModelConfigLoader, ml *model.ModelLoader, appConfig *config.ApplicationConfig) echo.HandlerFunc {
+	return func(c echo.Context) error {
+		modelName := c.Param("name")
+		if decoded, err := url.PathUnescape(modelName); err == nil {
+			modelName = decoded
+		}
+		if modelName == "" {
+			return c.JSON(http.StatusBadRequest, ModelResponse{
+				Success: false,
+				Error:   "Model name is required",
+			})
+		}
+
+		action := c.Param("action")
+		if action != "enable" && action != "disable" {
+			return c.JSON(http.StatusBadRequest, ModelResponse{
+				Success: false,
+				Error:   "Action must be 'enable' or 'disable'",
+			})
+		}
+
+		// Get existing model config
+		modelConfig, exists := cl.GetModelConfig(modelName)
+		if !exists {
+			return c.JSON(http.StatusNotFound, ModelResponse{
+				Success: false,
+				Error:   "Model configuration not found",
+			})
+		}
+
+		// Get the config file path
+		configPath := modelConfig.GetModelConfigFile()
+		if configPath == "" {
+			return c.JSON(http.StatusNotFound, ModelResponse{
+				Success: false,
+				Error:   "Model configuration file not found",
+			})
+		}
+
+		// Verify the path is trusted
+		if err := utils.VerifyPath(configPath, appConfig.SystemState.Model.ModelsPath); err != nil {
+			return c.JSON(http.StatusForbidden, ModelResponse{
+				Success: false,
+				Error:   "Model configuration not trusted: " + err.Error(),
+			})
+		}
+
+		// Read the existing config file
+		configData, err := os.ReadFile(configPath)
+		if err != nil {
+			return c.JSON(http.StatusInternalServerError, ModelResponse{
+				Success: false,
+				Error:   "Failed to read configuration file: " + err.Error(),
+			})
+		}
+
+		// Parse the YAML config as a generic map to preserve all fields
+		var configMap map[string]interface{}
+		if err := yaml.Unmarshal(configData, &configMap); err != nil {
+			return c.JSON(http.StatusInternalServerError, ModelResponse{
+				Success: false,
+				Error:   "Failed to parse configuration file: " + err.Error(),
+			})
+		}
+
+		// Update the disabled field
+		disabled := action == "disable"
+		if disabled {
+			configMap["disabled"] = true
+		} else {
+			// Remove the disabled key entirely when enabling (clean YAML)
+			delete(configMap, "disabled")
+		}
+
+		// Marshal back to YAML
+		updatedData, err := yaml.Marshal(configMap)
+		if err != nil {
+			return c.JSON(http.StatusInternalServerError, ModelResponse{
+				Success: false,
+				Error:   "Failed to serialize configuration: " + err.Error(),
+			})
+		}
+
+		// Write updated config back to file
+		if err := os.WriteFile(configPath, updatedData, 0644); err != nil {
+			return c.JSON(http.StatusInternalServerError, ModelResponse{
+				Success: false,
+				Error:   "Failed to write configuration file: " + err.Error(),
+			})
+		}
+
+		// Reload model configurations from disk
+		if err := cl.LoadModelConfigsFromPath(appConfig.SystemState.Model.ModelsPath, appConfig.ToConfigLoaderOptions()...); err != nil {
+			return c.JSON(http.StatusInternalServerError, ModelResponse{
+				Success: false,
+				Error:   "Failed to reload configurations: " + err.Error(),
+			})
+		}
+
+		// If disabling, also shutdown the model if it's currently running
+		if disabled {
+			if err := ml.ShutdownModel(modelName); err != nil {
+				// Log but don't fail - the config was saved successfully
+				fmt.Printf("Warning: Failed to shutdown model '%s' during disable: %v\n", modelName, err)
+			}
+		}
+
+		msg := fmt.Sprintf("Model '%s' has been %sd successfully.", modelName, action)
+		if disabled {
+			msg += " The model will not be loaded on demand until re-enabled."
+		}
+
+		return c.JSON(http.StatusOK, ModelResponse{
+			Success:  true,
+			Message:  msg,
+			Filename: configPath,
+		})
+	}
+}

core/http/endpoints/localai/tokenize.go

@@ -11,6 +11,7 @@ import (
 
 // TokenizeEndpoint exposes a REST API to tokenize the content
 // @Summary Tokenize the input.
+// @Tags tokenize
 // @Param request body schema.TokenizeRequest true "Request"
 // @Success 200 {object} schema.TokenizeResponse "Response"
 // @Router /v1/tokenize [post]

core/http/endpoints/localai/traces.go

@@ -0,0 +1,59 @@
+package localai
+
+import (
+	"github.com/labstack/echo/v4"
+	"github.com/mudler/LocalAI/core/http/middleware"
+	"github.com/mudler/LocalAI/core/trace"
+)
+
+// GetAPITracesEndpoint returns all API request/response traces
+// @Summary List API request/response traces
+// @Description Returns captured API exchange traces (request/response pairs) in reverse chronological order
+// @Tags monitoring
+// @Produce json
+// @Success 200 {object} map[string]any "Traced API exchanges"
+// @Router /api/traces [get]
+func GetAPITracesEndpoint() echo.HandlerFunc {
+	return func(c echo.Context) error {
+		return c.JSON(200, middleware.GetTraces())
+	}
+}
+
+// ClearAPITracesEndpoint clears all API traces
+// @Summary Clear API traces
+// @Description Removes all captured API request/response traces from the buffer
+// @Tags monitoring
+// @Success 204 "Traces cleared"
+// @Router /api/traces/clear [post]
+func ClearAPITracesEndpoint() echo.HandlerFunc {
+	return func(c echo.Context) error {
+		middleware.ClearTraces()
+		return c.NoContent(204)
+	}
+}
+
+// GetBackendTracesEndpoint returns all backend operation traces
+// @Summary List backend operation traces
+// @Description Returns captured backend traces (LLM calls, embeddings, TTS, etc.) in reverse chronological order
+// @Tags monitoring
+// @Produce json
+// @Success 200 {object} map[string]any "Backend operation traces"
+// @Router /api/backend-traces [get]
+func GetBackendTracesEndpoint() echo.HandlerFunc {
+	return func(c echo.Context) error {
+		return c.JSON(200, trace.GetBackendTraces())
+	}
+}
+
+// ClearBackendTracesEndpoint clears all backend traces
+// @Summary Clear backend traces
+// @Description Removes all captured backend operation traces from the buffer
+// @Tags monitoring
+// @Success 204 "Traces cleared"
+// @Router /api/backend-traces/clear [post]
+func ClearBackendTracesEndpoint() echo.HandlerFunc {
+	return func(c echo.Context) error {
+		trace.ClearBackendTraces()
+		return c.NoContent(204)
+	}
+}

core/http/endpoints/localai/traces_test.go

@@ -0,0 +1,55 @@
+package localai_test
+
+import (
+	"net/http"
+	"net/http/httptest"
+
+	"github.com/labstack/echo/v4"
+	. "github.com/mudler/LocalAI/core/http/endpoints/localai"
+	. "github.com/onsi/ginkgo/v2"
+	. "github.com/onsi/gomega"
+)
+
+var _ = Describe("Traces Endpoints", func() {
+	var app *echo.Echo
+
+	BeforeEach(func() {
+		app = echo.New()
+		app.GET("/api/traces", GetAPITracesEndpoint())
+		app.POST("/api/traces/clear", ClearAPITracesEndpoint())
+		app.GET("/api/backend-traces", GetBackendTracesEndpoint())
+		app.POST("/api/backend-traces/clear", ClearBackendTracesEndpoint())
+	})
+
+	It("should return API traces", func() {
+		req := httptest.NewRequest(http.MethodGet, "/api/traces", nil)
+		rec := httptest.NewRecorder()
+		app.ServeHTTP(rec, req)
+
+		Expect(rec.Code).To(Equal(http.StatusOK))
+	})
+
+	It("should clear API traces", func() {
+		req := httptest.NewRequest(http.MethodPost, "/api/traces/clear", nil)
+		rec := httptest.NewRecorder()
+		app.ServeHTTP(rec, req)
+
+		Expect(rec.Code).To(Equal(http.StatusNoContent))
+	})
+
+	It("should return backend traces", func() {
+		req := httptest.NewRequest(http.MethodGet, "/api/backend-traces", nil)
+		rec := httptest.NewRecorder()
+		app.ServeHTTP(rec, req)
+
+		Expect(rec.Code).To(Equal(http.StatusOK))
+	})
+
+	It("should clear backend traces", func() {
+		req := httptest.NewRequest(http.MethodPost, "/api/backend-traces/clear", nil)
+		rec := httptest.NewRecorder()
+		app.ServeHTTP(rec, req)
+
+		Expect(rec.Code).To(Equal(http.StatusNoContent))
+	})
+})

core/http/endpoints/localai/tts.go

@@ -17,6 +17,7 @@ import (
 // TTSEndpoint is the OpenAI Speech API endpoint https://platform.openai.com/docs/api-reference/audio/createSpeech
 //
 //		@Summary	Generates audio from the input text.
+//		@Tags		audio
 //	 	@Accept json
 //	 	@Produce audio/x-wav
 //		@Param		request	body		schema.TTSRequest	true	"query params"