Fix: Add model parameter to neutts-air gallery definition (#8793)

fix: Add model parameter to neutts-air gallery definition

The neutts-air model entry was missing the 'model' parameter in its
configuration, which caused LocalAI to fail with an 'Unrecognized model'
error when trying to use it. This change adds the required model parameter
pointing to the HuggingFace repository (neuphonic/neutts-air) so the backend
can properly load the model.

Fixes #8792

Signed-off-by: localai-bot <localai-bot@example.com>
Co-authored-by: localai-bot <localai-bot@example.com>

.agents/adding-backends.md

@@ -0,0 +1,167 @@
+# Adding a New Backend
+
+When adding a new backend to LocalAI, you need to update several files to ensure the backend is properly built, tested, and registered. Here's a step-by-step guide based on the pattern used for adding backends like `moonshine`:
+
+## 1. Create Backend Directory Structure
+
+Create the backend directory under the appropriate location:
+- **Python backends**: `backend/python/<backend-name>/`
+- **Go backends**: `backend/go/<backend-name>/`
+- **C++ backends**: `backend/cpp/<backend-name>/`
+
+For Python backends, you'll typically need:
+- `backend.py` - Main gRPC server implementation
+- `Makefile` - Build configuration
+- `install.sh` - Installation script for dependencies
+- `protogen.sh` - Protocol buffer generation script
+- `requirements.txt` - Python dependencies
+- `run.sh` - Runtime script
+- `test.py` / `test.sh` - Test files
+
+## 2. Add Build Configurations to `.github/workflows/backend.yml`
+
+Add build matrix entries for each platform/GPU type you want to support. Look at similar backends (e.g., `chatterbox`, `faster-whisper`) for reference.
+
+**Placement in file:**
+- CPU builds: Add after other CPU builds (e.g., after `cpu-chatterbox`)
+- CUDA 12 builds: Add after other CUDA 12 builds (e.g., after `gpu-nvidia-cuda-12-chatterbox`)
+- CUDA 13 builds: Add after other CUDA 13 builds (e.g., after `gpu-nvidia-cuda-13-chatterbox`)
+
+**Additional build types you may need:**
+- ROCm/HIP: Use `build-type: 'hipblas'` with `base-image: "rocm/dev-ubuntu-24.04:7.2.1"`
+- Intel/SYCL: Use `build-type: 'intel'` or `build-type: 'sycl_f16'`/`sycl_f32` with `base-image: "intel/oneapi-basekit:2025.3.0-0-devel-ubuntu24.04"`
+- L4T (ARM): Use `build-type: 'l4t'` with `platforms: 'linux/arm64'` and `runs-on: 'ubuntu-24.04-arm'`
+
+## 3. Add Backend Metadata to `backend/index.yaml`
+
+**Step 3a: Add Meta Definition**
+
+Add a YAML anchor definition in the `## metas` section (around line 2-300). Look for similar backends to use as a template such as `diffusers` or `chatterbox`
+
+**Step 3b: Add Image Entries**
+
+Add image entries at the end of the file, following the pattern of similar backends such as `diffusers` or `chatterbox`. Include both `latest` (production) and `master` (development) tags.
+
+## 4. Update the Makefile
+
+The Makefile needs to be updated in several places to support building and testing the new backend:
+
+**Step 4a: Add to `.NOTPARALLEL`**
+
+Add `backends/<backend-name>` to the `.NOTPARALLEL` line (around line 2) to prevent parallel execution conflicts:
+
+```makefile
+.NOTPARALLEL: ... backends/<backend-name>
+```
+
+**Step 4b: Add to `prepare-test-extra`**
+
+Add the backend to the `prepare-test-extra` target (around line 312) to prepare it for testing:
+
+```makefile
+prepare-test-extra: protogen-python
+	...
+	$(MAKE) -C backend/python/<backend-name>
+```
+
+**Step 4c: Add to `test-extra`**
+
+Add the backend to the `test-extra` target (around line 319) to run its tests:
+
+```makefile
+test-extra: prepare-test-extra
+	...
+	$(MAKE) -C backend/python/<backend-name> test
+```
+
+**Step 4d: Add Backend Definition**
+
+Add a backend definition variable in the backend definitions section (around line 428-457). The format depends on the backend type:
+
+**For Python backends with root context** (like `faster-whisper`, `coqui`):
+```makefile
+BACKEND_<BACKEND_NAME> = <backend-name>|python|.|false|true
+```
+
+**For Python backends with `./backend` context** (like `chatterbox`, `moonshine`):
+```makefile
+BACKEND_<BACKEND_NAME> = <backend-name>|python|./backend|false|true
+```
+
+**For Go backends**:
+```makefile
+BACKEND_<BACKEND_NAME> = <backend-name>|golang|.|false|true
+```
+
+**Step 4e: Generate Docker Build Target**
+
+Add an eval call to generate the docker-build target (around line 480-501):
+
+```makefile
+$(eval $(call generate-docker-build-target,$(BACKEND_<BACKEND_NAME>)))
+```
+
+**Step 4f: Add to `docker-build-backends`**
+
+Add `docker-build-<backend-name>` to the `docker-build-backends` target (around line 507):
+
+```makefile
+docker-build-backends: ... docker-build-<backend-name>
+```
+
+**Determining the Context:**
+
+- If the backend is in `backend/python/<backend-name>/` and uses `./backend` as context in the workflow file, use `./backend` context
+- If the backend is in `backend/python/<backend-name>/` but uses `.` as context in the workflow file, use `.` context
+- Check similar backends to determine the correct context
+
+## 5. Verification Checklist
+
+After adding a new backend, verify:
+
+- [ ] Backend directory structure is complete with all necessary files
+- [ ] Build configurations added to `.github/workflows/backend.yml` for all desired platforms
+- [ ] Meta definition added to `backend/index.yaml` in the `## metas` section
+- [ ] Image entries added to `backend/index.yaml` for all build variants (latest + development)
+- [ ] Tag suffixes match between workflow file and index.yaml
+- [ ] Makefile updated with all 6 required changes (`.NOTPARALLEL`, `prepare-test-extra`, `test-extra`, backend definition, docker-build target eval, `docker-build-backends`)
+- [ ] No YAML syntax errors (check with linter)
+- [ ] No Makefile syntax errors (check with linter)
+- [ ] Follows the same pattern as similar backends (e.g., if it's a transcription backend, follow `faster-whisper` pattern)
+
+## Bundling runtime shared libraries (`package.sh`)
+
+The final `Dockerfile.python` stage is `FROM scratch` — there is no system `libc`, no `apt`, no fallback library path. Only files explicitly copied from the builder stage end up in the backend image. That means any runtime `dlopen` your backend (or its Python deps) needs **must** be packaged into `${BACKEND}/lib/`.
+
+Pattern:
+
+1. Make sure the library is installed in the builder stage of `backend/Dockerfile.python` (add it to the top-level `apt-get install`).
+2. Drop a `package.sh` in your backend directory that copies the library — and its soname symlinks — into `$(dirname $0)/lib`. See `backend/python/vllm/package.sh` for a reference implementation that walks `/usr/lib/x86_64-linux-gnu`, `/usr/lib/aarch64-linux-gnu`, etc.
+3. `Dockerfile.python` already runs `package.sh` automatically if it exists, after `package-gpu-libs.sh`.
+4. `libbackend.sh` automatically prepends `${EDIR}/lib` to `LD_LIBRARY_PATH` at run time, so anything packaged this way is found by `dlopen`.
+
+How to find missing libs: when a Python module silently fails to register torch ops or you see `AttributeError: '_OpNamespace' '...' object has no attribute '...'`, run the backend image's Python with `LD_DEBUG=libs` to see which `dlopen` failed. The filename in the error message (e.g. `libnuma.so.1`) is what you need to package.
+
+To verify packaging works without trusting the host:
+
+```bash
+make docker-build-<backend>
+CID=$(docker create --entrypoint=/run.sh local-ai-backend:<backend>)
+docker cp $CID:/lib /tmp/check && docker rm $CID
+ls /tmp/check    # expect the bundled .so files + symlinks
+```
+
+Then boot it inside a fresh `ubuntu:24.04` (which intentionally does *not* have the lib installed) to confirm it actually loads from the backend dir.
+
+## 6. Example: Adding a Python Backend
+
+For reference, when `moonshine` was added:
+- **Files created**: `backend/python/moonshine/{backend.py, Makefile, install.sh, protogen.sh, requirements.txt, run.sh, test.py, test.sh}`
+- **Workflow entries**: 3 build configurations (CPU, CUDA 12, CUDA 13)
+- **Index entries**: 1 meta definition + 6 image entries (cpu, cuda12, cuda13 x latest/development)
+- **Makefile updates**:
+  - Added to `.NOTPARALLEL` line
+  - Added to `prepare-test-extra` and `test-extra` targets
+  - Added `BACKEND_MOONSHINE = moonshine|python|./backend|false|true`
+  - Added eval for docker-build target generation
+  - Added `docker-build-moonshine` to `docker-build-backends`

.agents/adding-gallery-models.md

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+# 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

.agents/ai-coding-assistants.md

@@ -0,0 +1,101 @@
+# AI Coding Assistants
+
+This document provides guidance for AI tools and developers using AI
+assistance when contributing to LocalAI.
+
+**LocalAI follows the same guidelines as the Linux kernel project for
+AI-assisted contributions.** See the upstream policy here:
+<https://docs.kernel.org/process/coding-assistants.html>
+
+The rules below mirror that policy, adapted to LocalAI's license and
+project layout. If anything is unclear, the kernel document is the
+authoritative reference for intent.
+
+AI tools helping with LocalAI development should follow the standard
+project development process:
+
+- [CONTRIBUTING.md](../CONTRIBUTING.md) — development workflow, commit
+  conventions, and PR guidelines
+- [.agents/coding-style.md](coding-style.md) — code style, editorconfig,
+  logging, and documentation conventions
+- [.agents/building-and-testing.md](building-and-testing.md) — build and
+  test procedures
+
+## Licensing and Legal Requirements
+
+All contributions must comply with LocalAI's licensing requirements:
+
+- LocalAI is licensed under the **MIT License** — see the [LICENSE](../LICENSE)
+  file
+- New source files should use the SPDX license identifier `MIT` where
+  applicable to the file type
+- Contributions must be compatible with the MIT License and must not
+  introduce code under incompatible licenses (e.g., GPL) without an
+  explicit discussion with maintainers
+
+## Signed-off-by and Developer Certificate of Origin
+
+**AI agents MUST NOT add `Signed-off-by` tags.** Only humans can legally
+certify the Developer Certificate of Origin (DCO). The human submitter
+is responsible for:
+
+- Reviewing all AI-generated code
+- Ensuring compliance with licensing requirements
+- Adding their own `Signed-off-by` tag (when the project requires DCO)
+  to certify the contribution
+- Taking full responsibility for the contribution
+
+AI agents MUST NOT add `Co-Authored-By` trailers for themselves either.
+A human reviewer owns the contribution; the AI's involvement is recorded
+via `Assisted-by` (see below).
+
+## Attribution
+
+When AI tools contribute to LocalAI development, proper attribution helps
+track the evolving role of AI in the development process. Contributions
+should include an `Assisted-by` tag in the commit message trailer in the
+following format:
+
+```
+Assisted-by: AGENT_NAME:MODEL_VERSION [TOOL1] [TOOL2]
+```
+
+Where:
+
+- `AGENT_NAME` — name of the AI tool or framework (e.g., `Claude`,
+  `Copilot`, `Cursor`)
+- `MODEL_VERSION` — specific model version used (e.g.,
+  `claude-opus-4-7`, `gpt-5`)
+- `[TOOL1] [TOOL2]` — optional specialized analysis tools invoked by the
+  agent (e.g., `golangci-lint`, `staticcheck`, `go vet`)
+
+Basic development tools (git, go, make, editors) should **not** be listed.
+
+### Example
+
+```
+fix(llama-cpp): handle empty tool call arguments
+
+Previously the parser panicked when the model returned a tool call with
+an empty arguments object. Fall back to an empty JSON object in that
+case so downstream consumers receive a valid payload.
+
+Assisted-by: Claude:claude-opus-4-7 golangci-lint
+Signed-off-by: Jane Developer <jane@example.com>
+```
+
+## Scope and Responsibility
+
+Using an AI assistant does not reduce the contributor's responsibility.
+The human submitter must:
+
+- Understand every line that lands in the PR
+- Verify that generated code compiles, passes tests, and follows the
+  project style
+- Confirm that any referenced APIs, flags, or file paths actually exist
+  in the current tree (AI models may hallucinate identifiers)
+- Not submit AI output verbatim without review
+
+Reviewers may ask for clarification on any change regardless of how it
+was produced. "An AI wrote it" is not an acceptable answer to a design
+question.

.agents/api-endpoints-and-auth.md

@@ -0,0 +1,259 @@
+# API Endpoints and Authentication
+
+This guide covers how to add new API endpoints and properly integrate them with the auth/permissions system.
+
+## Architecture overview
+
+Authentication and authorization flow through three layers:
+
+1. **Global auth middleware** (`core/http/auth/middleware.go` → `auth.Middleware`) — applied to every request in `core/http/app.go`. Handles session cookies, Bearer tokens, API keys, and legacy API keys. Populates `auth_user` and `auth_role` in the Echo context.
+2. **Feature middleware** (`auth.RequireFeature`) — per-feature access control applied to route groups or individual routes. Checks if the authenticated user has the specific feature enabled.
+3. **Admin middleware** (`auth.RequireAdmin`) — restricts endpoints to admin users only.
+
+When auth is disabled (no auth DB, no legacy API keys), all middleware becomes pass-through (`auth.NoopMiddleware`).
+
+## Adding a new API endpoint
+
+### Step 1: Create the handler
+
+Write the endpoint handler in the appropriate package under `core/http/endpoints/`. Follow existing patterns:
+
+```go
+// core/http/endpoints/localai/my_feature.go
+func MyFeatureEndpoint(app *application.Application) echo.HandlerFunc {
+    return func(c echo.Context) error {
+        // Use auth.GetUser(c) to get the authenticated user (may be nil if auth is disabled)
+        user := auth.GetUser(c)
+
+        // Your logic here
+        return c.JSON(http.StatusOK, result)
+    }
+}
+```
+
+### Step 2: Register routes
+
+Add routes in the appropriate file under `core/http/routes/`. The file you use depends on the endpoint category:
+
+| File | Category |
+|------|----------|
+| `routes/openai.go` | OpenAI-compatible API endpoints (`/v1/...`) |
+| `routes/localai.go` | LocalAI-specific endpoints (`/api/...`, `/models/...`, `/backends/...`) |
+| `routes/agents.go` | Agent pool endpoints (`/api/agents/...`) |
+| `routes/auth.go` | Auth endpoints (`/api/auth/...`) |
+| `routes/ui_api.go` | UI backend API endpoints |
+
+### Step 3: Apply the right middleware
+
+Choose the appropriate protection level:
+
+#### No auth required (public)
+Exempt paths bypass auth entirely. Add to `isExemptPath()` in `middleware.go` or use the `/api/auth/` prefix (always exempt). Use sparingly — most endpoints should require auth.
+
+#### Standard auth (any authenticated user)
+The global middleware already handles this. API paths (`/api/`, `/v1/`, etc.) automatically require authentication when auth is enabled. You don't need to add any extra middleware.
+
+```go
+router.GET("/v1/my-endpoint", myHandler)  // auth enforced by global middleware
+```
+
+#### Admin only
+Pass `adminMiddleware` to the route. This is set up in `app.go` and passed to `Register*Routes` functions:
+
+```go
+// In the Register function signature, accept the middleware:
+func RegisterMyRoutes(router *echo.Echo, app *application.Application, adminMiddleware echo.MiddlewareFunc) {
+    router.POST("/models/apply", myHandler, adminMiddleware)
+}
+```
+
+#### Feature-gated
+For endpoints that should be toggleable per-user, use feature middleware. There are two approaches:
+
+**Approach A: Route-level middleware** (preferred for groups of related endpoints)
+
+```go
+// In app.go, create the feature middleware:
+myFeatureMw := auth.RequireFeature(application.AuthDB(), auth.FeatureMyFeature)
+
+// Pass it to the route registration function:
+routes.RegisterMyRoutes(e, app, myFeatureMw)
+
+// In the routes file, apply to a group:
+g := e.Group("/api/my-feature", myFeatureMw)
+g.GET("", listHandler)
+g.POST("", createHandler)
+```
+
+**Approach B: RouteFeatureRegistry** (preferred for individual OpenAI-compatible endpoints)
+
+Add an entry to `RouteFeatureRegistry` in `core/http/auth/features.go`. The `RequireRouteFeature` global middleware will automatically enforce it:
+
+```go
+var RouteFeatureRegistry = []RouteFeature{
+    // ... existing entries ...
+    {"POST", "/v1/my-endpoint", FeatureMyFeature},
+}
+```
+
+## Adding a new feature
+
+When you need a new toggleable feature (not just a new endpoint under an existing feature):
+
+### 1. Define the feature constant
+
+Add to `core/http/auth/permissions.go`:
+
+```go
+const (
+    // Add to the appropriate group:
+    // Agent features (default OFF for new users)
+    FeatureMyFeature = "my_feature"
+
+    // OR API features (default ON for new users)
+    FeatureMyFeature = "my_feature"
+)
+```
+
+Then add it to the appropriate slice:
+
+```go
+// Default OFF — user must be explicitly granted access:
+var AgentFeatures = []string{..., FeatureMyFeature}
+
+// Default ON — user has access unless explicitly revoked:
+var APIFeatures = []string{..., FeatureMyFeature}
+```
+
+### 2. Add feature metadata
+
+In `core/http/auth/features.go`, add to the appropriate `FeatureMetas` function so the admin UI can display it:
+
+```go
+func AgentFeatureMetas() []FeatureMeta {
+    return []FeatureMeta{
+        // ... existing ...
+        {FeatureMyFeature, "My Feature", false},  // false = default OFF
+    }
+}
+```
+
+### 3. Wire up the middleware
+
+In `core/http/app.go`:
+
+```go
+myFeatureMw := auth.RequireFeature(application.AuthDB(), auth.FeatureMyFeature)
+```
+
+Then pass it to the route registration function.
+
+### 4. Register route-feature mappings (if applicable)
+
+If your feature gates standard API endpoints (like `/v1/...`), add entries to `RouteFeatureRegistry` in `features.go` instead of using per-route middleware.
+
+## Accessing the authenticated user in handlers
+
+```go
+import "github.com/mudler/LocalAI/core/http/auth"
+
+func MyHandler(c echo.Context) error {
+    // Get the user (nil when auth is disabled or unauthenticated)
+    user := auth.GetUser(c)
+    if user == nil {
+        // Handle unauthenticated — or let middleware handle it
+    }
+
+    // Check role
+    if user.Role == auth.RoleAdmin {
+        // admin-specific logic
+    }
+
+    // Check feature access programmatically (when you need conditional behavior, not full blocking)
+    if auth.HasFeatureAccess(db, user, auth.FeatureMyFeature) {
+        // feature-specific logic
+    }
+
+    // Check model access
+    if !auth.IsModelAllowed(db, user, modelName) {
+        return c.JSON(http.StatusForbidden, ...)
+    }
+}
+```
+
+## Middleware composition patterns
+
+Middleware can be composed at different levels. Here are the patterns used in the codebase:
+
+### Group-level middleware (agents pattern)
+```go
+// All routes in the group share the middleware
+g := e.Group("/api/agents", poolReadyMw, agentsMw)
+g.GET("", listHandler)
+g.POST("", createHandler)
+```
+
+### Per-route middleware (localai pattern)
+```go
+// Individual routes get middleware as extra arguments
+router.POST("/models/apply", applyHandler, adminMiddleware)
+router.GET("/metrics", metricsHandler, adminMiddleware)
+```
+
+### Middleware slice (openai pattern)
+```go
+// Build a middleware chain for a handler
+chatMiddleware := []echo.MiddlewareFunc{
+    usageMiddleware,
+    traceMiddleware,
+    modelFilterMiddleware,
+}
+app.POST("/v1/chat/completions", chatHandler, chatMiddleware...)
+```
+
+## Error response format
+
+Always use `schema.ErrorResponse` for auth/permission errors to stay consistent with the OpenAI-compatible API:
+
+```go
+return c.JSON(http.StatusForbidden, schema.ErrorResponse{
+    Error: &schema.APIError{
+        Message: "feature not enabled for your account",
+        Code:    http.StatusForbidden,
+        Type:    "authorization_error",
+    },
+})
+```
+
+Use these HTTP status codes:
+- `401 Unauthorized` — no valid credentials provided
+- `403 Forbidden` — authenticated but lacking permission
+- `429 Too Many Requests` — rate limited (auth endpoints)
+
+## Usage tracking
+
+If your endpoint should be tracked for usage (token counts, request counts), add the `usageMiddleware` to its middleware chain. See `core/http/middleware/usage.go` and how it's applied in `routes/openai.go`.
+
+## Path protection rules
+
+The global auth middleware classifies paths as API paths or non-API paths:
+
+- **API paths** (always require auth when auth is enabled): `/api/`, `/v1/`, `/models/`, `/backends/`, `/backend/`, `/tts`, `/vad`, `/video`, `/stores/`, `/system`, `/ws/`, `/metrics`
+- **Exempt paths** (never require auth): `/api/auth/` prefix, anything in `appConfig.PathWithoutAuth`
+- **Non-API paths** (UI, static assets): pass through without auth — the React UI handles login redirects client-side
+
+If you add endpoints under a new top-level path prefix, add it to `isAPIPath()` in `middleware.go` to ensure it requires authentication.
+
+## Checklist
+
+When adding a new endpoint:
+
+- [ ] Handler in `core/http/endpoints/`
+- [ ] Route registered in appropriate `core/http/routes/` file
+- [ ] Auth level chosen: public / standard / admin / feature-gated
+- [ ] If feature-gated: constant in `permissions.go`, metadata in `features.go`, middleware in `app.go`
+- [ ] If new path prefix: added to `isAPIPath()` in `middleware.go`
+- [ ] If OpenAI-compatible: entry in `RouteFeatureRegistry`
+- [ ] If token-counting: `usageMiddleware` added to middleware chain
+- [ ] Error responses use `schema.ErrorResponse` format
+- [ ] Tests cover both authenticated and unauthenticated access

.agents/building-and-testing.md

@@ -0,0 +1,16 @@
+# Build and Testing
+
+Building and testing the project depends on the components involved and the platform where development is taking place. Due to the amount of context required it's usually best not to try building or testing the project unless the user requests it. If you must build the project then inspect the Makefile in the project root and the Makefiles of any backends that are effected by changes you are making. In addition the workflows in .github/workflows can be used as a reference when it is unclear how to build or test a component. The primary Makefile contains targets for building inside or outside Docker, if the user has not previously specified a preference then ask which they would like to use.
+
+## Building a specified backend
+
+Let's say the user wants to build a particular backend for a given platform. For example let's say they want to build coqui for ROCM/hipblas
+
+- The Makefile has targets like `docker-build-coqui` created with `generate-docker-build-target` at the time of writing. Recently added backends may require a new target.
+- At a minimum we need to set the BUILD_TYPE, BASE_IMAGE build-args
+  - Use .github/workflows/backend.yml as a reference it lists the needed args in the `include` job strategy matrix
+  - l4t and cublas also requires the CUDA major and minor version
+- You can pretty print a command like `DOCKER_MAKEFLAGS=-j$(nproc --ignore=1) BUILD_TYPE=hipblas BASE_IMAGE=rocm/dev-ubuntu-24.04:7.2.1 make docker-build-coqui`
+- Unless the user specifies that they want you to run the command, then just print it because not all agent frontends handle long running jobs well and the output may overflow your context
+- The user may say they want to build AMD or ROCM instead of hipblas, or Intel instead of SYCL or NVIDIA insted of l4t or cublas. Ask for confirmation if there is ambiguity.
+- Sometimes the user may need extra parameters to be added to `docker build` (e.g. `--platform` for cross-platform builds or `--progress` to view the full logs), in which case you can generate the `docker build` command directly.

.agents/coding-style.md

@@ -0,0 +1,52 @@
+# Coding Style
+
+The project has the following .editorconfig:
+
+```
+root = true
+
+[*]
+indent_style = space
+indent_size = 2
+end_of_line = lf
+charset = utf-8
+trim_trailing_whitespace = true
+insert_final_newline = true
+
+[*.go]
+indent_style = tab
+
+[Makefile]
+indent_style = tab
+
+[*.proto]
+indent_size = 2
+
+[*.py]
+indent_size = 4
+
+[*.js]
+indent_size = 2
+
+[*.yaml]
+indent_size = 2
+
+[*.md]
+trim_trailing_whitespace = false
+```
+
+- Use comments sparingly to explain why code does something, not what it does. Comments are there to add context that would be difficult to deduce from reading the code.
+- Prefer modern Go e.g. use `any` not `interface{}`
+
+## Logging
+
+Use `github.com/mudler/xlog` for logging which has the same API as slog.
+
+## Documentation
+
+The project documentation is located in `docs/content`. When adding new features or changing existing functionality, it is crucial to update the documentation to reflect these changes. This helps users understand how to use the new capabilities and ensures the documentation stays relevant.
+
+- **Feature Documentation**: If you add a new feature (like a new backend or API endpoint), create a new markdown file in `docs/content/features/` explaining what it is, how to configure it, and how to use it.
+- **Configuration**: If you modify configuration options, update the relevant sections in `docs/content/`.
+- **Examples**: providing concrete examples (like YAML configuration blocks) is highly encouraged to help users get started quickly.
+- **Shortcodes**: Use `{{% notice note %}}`, `{{% notice tip %}}`, or `{{% notice warning %}}` for callout boxes. Do **not** use `{{% alert %}}` — that shortcode does not exist in this project's Hugo theme and will break the docs build.

.agents/debugging-backends.md

@@ -0,0 +1,141 @@
+# Debugging and Rebuilding Backends
+
+When a backend fails at runtime (e.g. a gRPC method error, a Python import error, or a dependency conflict), use this guide to diagnose, fix, and rebuild.
+
+## Architecture Overview
+
+- **Source directory**: `backend/python/<name>/` (or `backend/go/<name>/`, `backend/cpp/<name>/`)
+- **Installed directory**: `backends/<name>/` — this is what LocalAI actually runs. It is populated by `make backends/<name>` which builds a Docker image, exports it, and installs it via `local-ai backends install`.
+- **Virtual environment**: `backends/<name>/venv/` — the installed Python venv (for Python backends). The Python binary is at `backends/<name>/venv/bin/python`.
+
+Editing files in `backend/python/<name>/` does **not** affect the running backend until you rebuild with `make backends/<name>`.
+
+## Diagnosing Failures
+
+### 1. Check the logs
+
+Backend gRPC processes log to LocalAI's stdout/stderr. Look for lines tagged with the backend's model ID:
+
+```
+GRPC stderr id="trl-finetune-127.0.0.1:37335" line="..."
+```
+
+Common error patterns:
+- **"Method not implemented"** — the backend is missing a gRPC method that the Go side calls. The model loader (`pkg/model/initializers.go`) always calls `LoadModel` after `Health`; fine-tuning backends must implement it even as a no-op stub.
+- **Python import errors / `AttributeError`** — usually a dependency version mismatch (e.g. `pyarrow` removing `PyExtensionType`).
+- **"failed to load backend"** — the gRPC process crashed or never started. Check stderr lines for the traceback.
+
+### 2. Test the Python environment directly
+
+You can run the installed venv's Python to check imports without starting the full server:
+
+```bash
+backends/<name>/venv/bin/python -c "import datasets; print(datasets.__version__)"
+```
+
+If `pip` is missing from the venv, bootstrap it:
+
+```bash
+backends/<name>/venv/bin/python -m ensurepip
+```
+
+Then use `backends/<name>/venv/bin/python -m pip install ...` to test fixes in the installed venv before committing them to the source requirements.
+
+### 3. Check upstream dependency constraints
+
+When you hit a dependency conflict, check what the main library expects. For example, TRL's upstream `requirements.txt`:
+
+```
+https://github.com/huggingface/trl/blob/main/requirements.txt
+```
+
+Pin minimum versions in the backend's requirements files to match upstream.
+
+## Common Fixes
+
+### Missing gRPC methods
+
+If the Go side calls a method the backend doesn't implement (e.g. `LoadModel`), add a no-op stub in `backend.py`:
+
+```python
+def LoadModel(self, request, context):
+    """No-op — actual loading happens elsewhere."""
+    return backend_pb2.Result(success=True, message="OK")
+```
+
+The gRPC contract requires `LoadModel` to succeed for the model loader to return a usable client, even if the backend doesn't need upfront model loading.
+
+### Dependency version conflicts
+
+Python backends often break when a transitive dependency releases a breaking change (e.g. `pyarrow` removing `PyExtensionType`). Steps:
+
+1. Identify the broken import in the logs
+2. Test in the installed venv: `backends/<name>/venv/bin/python -c "import <module>"`
+3. Check upstream requirements for version constraints
+4. Update **all** requirements files in `backend/python/<name>/`:
+   - `requirements.txt` — base deps (grpcio, protobuf)
+   - `requirements-cpu.txt` — CPU-specific (includes PyTorch CPU index)
+   - `requirements-cublas12.txt` — CUDA 12
+   - `requirements-cublas13.txt` — CUDA 13
+5. Rebuild: `make backends/<name>`
+
+### PyTorch index conflicts (uv resolver)
+
+The Docker build uses `uv` for pip installs. When `--extra-index-url` points to the PyTorch wheel index, `uv` may refuse to fetch packages like `requests` from PyPI if it finds a different version on the PyTorch index first. Fix this by adding `--index-strategy=unsafe-first-match` to `install.sh`:
+
+```bash
+EXTRA_PIP_INSTALL_FLAGS+=" --upgrade --index-strategy=unsafe-first-match"
+installRequirements
+```
+
+Most Python backends already do this — check `backend/python/transformers/install.sh` or similar for reference.
+
+## Rebuilding
+
+### Rebuild a single backend
+
+```bash
+make backends/<name>
+```
+
+This runs the Docker build (`Dockerfile.python`), exports the image to `backend-images/<name>.tar`, and installs it into `backends/<name>/`. It also rebuilds the `local-ai` Go binary (without extra tags).
+
+**Important**: If you were previously running with `GO_TAGS=auth`, the `make backends/<name>` step will overwrite your binary without that tag. Rebuild the Go binary afterward:
+
+```bash
+GO_TAGS=auth make build
+```
+
+### Rebuild and restart
+
+After rebuilding a backend, you must restart LocalAI for it to pick up the new backend files. The backend gRPC process is spawned on demand when the model is first loaded.
+
+```bash
+# Kill existing process
+kill <pid>
+
+# Restart
+./local-ai run --debug [your flags]
+```
+
+### Quick iteration (skip Docker rebuild)
+
+For fast iteration on a Python backend's `backend.py` without a full Docker rebuild, you can edit the installed copy directly:
+
+```bash
+# Edit the installed copy
+vim backends/<name>/backend.py
+
+# Restart LocalAI to respawn the gRPC process
+```
+
+This is useful for testing but **does not persist** — the next `make backends/<name>` will overwrite it. Always commit fixes to the source in `backend/python/<name>/`.
+
+## Verification
+
+After fixing and rebuilding:
+
+1. Start LocalAI and confirm the backend registers: look for `Registering backend name="<name>"` in the logs
+2. Trigger the operation that failed (e.g. start a fine-tuning job)
+3. Watch the GRPC stderr/stdout lines for the backend's model ID
+4. Confirm no errors in the traceback

.agents/llama-cpp-backend.md

@@ -0,0 +1,77 @@
+# llama.cpp Backend
+
+The llama.cpp backend (`backend/cpp/llama-cpp/grpc-server.cpp`) is a gRPC adaptation of the upstream HTTP server (`llama.cpp/tools/server/server.cpp`). It uses the same underlying server infrastructure from `llama.cpp/tools/server/server-context.cpp`.
+
+## Building and Testing
+
+- Test llama.cpp backend compilation: `make backends/llama-cpp`
+- The backend is built as part of the main build process
+- Check `backend/cpp/llama-cpp/Makefile` for build configuration
+
+## Architecture
+
+- **grpc-server.cpp**: gRPC server implementation, adapts HTTP server patterns to gRPC
+- Uses shared server infrastructure: `server-context.cpp`, `server-task.cpp`, `server-queue.cpp`, `server-common.cpp`
+- The gRPC server mirrors the HTTP server's functionality but uses gRPC instead of HTTP
+
+## Common Issues When Updating llama.cpp
+
+When fixing compilation errors after upstream changes:
+1. Check how `server.cpp` (HTTP server) handles the same change
+2. Look for new public APIs or getter methods
+3. Store copies of needed data instead of accessing private members
+4. Update function calls to match new signatures
+5. Test with `make backends/llama-cpp`
+
+## Key Differences from HTTP Server
+
+- gRPC uses `BackendServiceImpl` class with gRPC service methods
+- HTTP server uses `server_routes` with HTTP handlers
+- Both use the same `server_context` and task queue infrastructure
+- gRPC methods: `LoadModel`, `Predict`, `PredictStream`, `Embedding`, `Rerank`, `TokenizeString`, `GetMetrics`, `Health`
+
+## Tool Call Parsing Maintenance
+
+When working on JSON/XML tool call parsing functionality, always check llama.cpp for reference implementation and updates:
+
+### Checking for XML Parsing Changes
+
+1. **Review XML Format Definitions**: Check `llama.cpp/common/chat-parser-xml-toolcall.h` for `xml_tool_call_format` struct changes
+2. **Review Parsing Logic**: Check `llama.cpp/common/chat-parser-xml-toolcall.cpp` for parsing algorithm updates
+3. **Review Format Presets**: Check `llama.cpp/common/chat-parser.cpp` for new XML format presets (search for `xml_tool_call_format form`)
+4. **Review Model Lists**: Check `llama.cpp/common/chat.h` for `COMMON_CHAT_FORMAT_*` enum values that use XML parsing:
+   - `COMMON_CHAT_FORMAT_GLM_4_5`
+   - `COMMON_CHAT_FORMAT_MINIMAX_M2`
+   - `COMMON_CHAT_FORMAT_KIMI_K2`
+   - `COMMON_CHAT_FORMAT_QWEN3_CODER_XML`
+   - `COMMON_CHAT_FORMAT_APRIEL_1_5`
+   - `COMMON_CHAT_FORMAT_XIAOMI_MIMO`
+   - Any new formats added
+
+### Model Configuration Options
+
+Always check `llama.cpp` for new model configuration options that should be supported in LocalAI:
+
+1. **Check Server Context**: Review `llama.cpp/tools/server/server-context.cpp` for new parameters
+2. **Check Chat Params**: Review `llama.cpp/common/chat.h` for `common_chat_params` struct changes
+3. **Check Server Options**: Review `llama.cpp/tools/server/server.cpp` for command-line argument changes
+4. **Examples of options to check**:
+   - `ctx_shift` - Context shifting support
+   - `parallel_tool_calls` - Parallel tool calling
+   - `reasoning_format` - Reasoning format options
+   - Any new flags or parameters
+
+### Implementation Guidelines
+
+1. **Feature Parity**: Always aim for feature parity with llama.cpp's implementation
+2. **Test Coverage**: Add tests for new features matching llama.cpp's behavior
+3. **Documentation**: Update relevant documentation when adding new formats or options
+4. **Backward Compatibility**: Ensure changes don't break existing functionality
+
+### Files to Monitor
+
+- `llama.cpp/common/chat-parser-xml-toolcall.h` - Format definitions
+- `llama.cpp/common/chat-parser-xml-toolcall.cpp` - Parsing logic
+- `llama.cpp/common/chat-parser.cpp` - Format presets and model-specific handlers
+- `llama.cpp/common/chat.h` - Format enums and parameter structures
+- `llama.cpp/tools/server/server-context.cpp` - Server configuration options

.agents/testing-mcp-apps.md

@@ -0,0 +1,120 @@
+# Testing MCP Apps (Interactive Tool UIs)
+
+MCP Apps is an extension to MCP where tools declare interactive HTML UIs via `_meta.ui.resourceUri`. When the LLM calls such a tool, the UI renders the app in a sandboxed iframe inline in the chat. The app communicates bidirectionally with the host via `postMessage` (JSON-RPC) and can call server tools, send messages, and update model context.
+
+Spec: https://modelcontextprotocol.io/extensions/apps/overview
+
+## Quick Start: Run a Test MCP App Server
+
+The `@modelcontextprotocol/server-basic-react` npm package is a ready-to-use test server that exposes a `get-time` tool with an interactive React clock UI. It requires Node >= 20, so run it in Docker:
+
+```bash
+docker run -d --name mcp-app-test -p 3001:3001 node:22-slim \
+  sh -c 'npx -y @modelcontextprotocol/server-basic-react'
+```
+
+Wait ~10 seconds for it to start, then verify:
+
+```bash
+# Check it's running
+docker logs mcp-app-test
+# Expected: "MCP server listening on http://localhost:3001/mcp"
+
+# Verify MCP protocol works
+curl -s -X POST http://localhost:3001/mcp \
+  -H 'Content-Type: application/json' \
+  -H 'Accept: application/json, text/event-stream' \
+  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"test","version":"1.0.0"}}}'
+
+# List tools — should show get-time with _meta.ui.resourceUri
+curl -s -X POST http://localhost:3001/mcp \
+  -H 'Content-Type: application/json' \
+  -H 'Accept: application/json, text/event-stream' \
+  -d '{"jsonrpc":"2.0","id":2,"method":"tools/list","params":{}}'
+```
+
+The `tools/list` response should contain:
+```json
+{
+  "name": "get-time",
+  "_meta": {
+    "ui": { "resourceUri": "ui://get-time/mcp-app.html" }
+  }
+}
+```
+
+## Testing in LocalAI's UI
+
+1. Make sure LocalAI is running (e.g. `http://localhost:8080`)
+2. Build the React UI: `cd core/http/react-ui && npm install && npm run build`
+3. Open the Chat page in your browser
+4. Click **"Client MCP"** in the chat header
+5. Add a new client MCP server:
+   - **URL**: `http://localhost:3001/mcp`
+   - **Use CORS proxy**: enabled (default) — required because the browser can't hit `localhost:3001` directly due to CORS; LocalAI's proxy at `/api/cors-proxy` handles it
+6. The server should connect and discover the `get-time` tool
+7. Select a model and send: **"What time is it?"**
+8. The LLM should call the `get-time` tool
+9. The tool result should render the interactive React clock app in an iframe as a standalone chat message (not inside the collapsed activity group)
+
+## What to Verify
+
+- [ ] Tool appears in the connected tools list (not filtered — `get-time` is callable by the LLM)
+- [ ] The iframe renders as a standalone chat message with a puzzle-piece icon
+- [ ] The app loads and is interactive (clock UI, buttons work)
+- [ ] No "Reconnect to MCP server" overlay (connection is live)
+- [ ] Console logs show bidirectional communication:
+  - `tools/call` messages from app to host (app calling server tools)
+  - `ui/message` notifications (app sending messages)
+- [ ] After the app renders, the LLM continues and produces a text response with the time
+- [ ] Non-UI tools continue to work normally (text-only results)
+- [ ] Page reload shows the HTML statically with a reconnect overlay until you reconnect
+
+## Console Log Patterns
+
+Healthy bidirectional communication looks like:
+
+```
+Parsed message { jsonrpc: "2.0", id: N, result: {...} }     // Bridge init
+get-time result: { content: [...] }                          // Tool result received
+Calling get-time tool...                                     // App calls tool
+Sending message { method: "tools/call", ... }                // App -> host -> server
+Parsed message { jsonrpc: "2.0", id: N, result: {...} }     // Server response
+Sending message text to Host: ...                            // App sends message
+Sending message { method: "ui/message", ... }                // Message notification
+Message accepted                                             // Host acknowledged
+```
+
+Benign warnings to ignore:
+- `Source map error: ... about:srcdoc` — browser devtools can't find source maps for srcdoc iframes
+- `Ignoring message from unknown source` — duplicate postMessage from iframe navigation
+- `notifications/cancelled` — app cleaning up previous requests
+
+## Architecture Notes
+
+- **No server-side changes needed** — the MCP App protocol runs entirely in the browser
+- `PostMessageTransport` wraps `window.postMessage` between host and `srcdoc` iframe
+- `AppBridge` (from `@modelcontextprotocol/ext-apps`) auto-forwards `tools/call`, `resources/read`, `resources/list` from the app to the MCP server via the host's `Client`
+- The iframe uses `sandbox="allow-scripts allow-forms"` (no `allow-same-origin`) — opaque origin, no access to host cookies/DOM/localStorage
+- App-only tools (`_meta.ui.visibility: "app-only"`) are filtered from the LLM's tool list but remain callable by the app iframe
+
+## Key Files
+
+- `core/http/react-ui/src/components/MCPAppFrame.jsx` — iframe + AppBridge component
+- `core/http/react-ui/src/hooks/useMCPClient.js` — MCP client hook with app UI helpers (`hasAppUI`, `getAppResource`, `getClientForTool`, `getToolDefinition`)
+- `core/http/react-ui/src/hooks/useChat.js` — agentic loop, attaches `appUI` to tool_result messages
+- `core/http/react-ui/src/pages/Chat.jsx` — renders MCPAppFrame as standalone chat messages
+
+## Other Test Servers
+
+The `@modelcontextprotocol/ext-apps` repo has many example servers:
+- `@modelcontextprotocol/server-basic-react` — simple clock (React)
+- More examples at https://github.com/modelcontextprotocol/ext-apps/tree/main/examples
+
+All examples support both stdio and HTTP transport. Run without `--stdio` for HTTP mode on port 3001.
+
+## Cleanup
+
+```bash
+docker rm -f mcp-app-test
+```

.agents/vllm-backend.md

@@ -0,0 +1,115 @@
+# Working on the vLLM Backend
+
+The vLLM backend lives at `backend/python/vllm/backend.py` (async gRPC) and the multimodal variant at `backend/python/vllm-omni/backend.py` (sync gRPC). Both wrap vLLM's `AsyncLLMEngine` / `Omni` and translate the LocalAI gRPC `PredictOptions` into vLLM `SamplingParams` + outputs into `Reply.chat_deltas`.
+
+This file captures the non-obvious bits — most of the bring-up was a single PR (`feat/vllm-parity`) and the things below are easy to get wrong.
+
+## Tool calling and reasoning use vLLM's *native* parsers
+
+Do not write regex-based tool-call extractors for vLLM. vLLM ships:
+
+- `vllm.tool_parsers.ToolParserManager` — 50+ registered parsers (`hermes`, `llama3_json`, `llama4_pythonic`, `mistral`, `qwen3_xml`, `deepseek_v3`, `granite4`, `openai`, `kimi_k2`, `glm45`, …)
+- `vllm.reasoning.ReasoningParserManager` — 25+ registered parsers (`deepseek_r1`, `qwen3`, `mistral`, `gemma4`, …)
+
+Both can be used standalone: instantiate with a tokenizer, call `extract_tool_calls(text, request=None)` / `extract_reasoning(text, request=None)`. The backend stores the parser *classes* on `self.tool_parser_cls` / `self.reasoning_parser_cls` at LoadModel time and instantiates them per request.
+
+**Selection:** vLLM does *not* auto-detect parsers from model name — neither does the LocalAI backend. The user (or `core/config/hooks_vllm.go`) must pick one and pass it via `Options[]`:
+
+```yaml
+options:
+  - tool_parser:hermes
+  - reasoning_parser:qwen3
+```
+
+Auto-defaults for known model families live in `core/config/parser_defaults.json` and are applied:
+- at gallery import time by `core/gallery/importers/vllm.go`
+- at model load time by the `vllm` / `vllm-omni` backend hook in `core/config/hooks_vllm.go`
+
+User-supplied `tool_parser:`/`reasoning_parser:` in the config wins over defaults — the hook checks for existing entries before appending.
+
+**When to update `parser_defaults.json`:** any time vLLM ships a new tool or reasoning parser, or you onboard a new model family that LocalAI users will pull from HuggingFace. The file is keyed by *family pattern* matched against `normalizeModelID(cfg.Model)` (lowercase, org-prefix stripped, `_`→`-`). Patterns are checked **longest-first** — keep `qwen3.5` before `qwen3`, `llama-3.3` before `llama-3`, etc., or the wrong family wins. Add a covering test in `core/config/hooks_test.go`.
+
+**Sister file — `core/config/inference_defaults.json`:** same pattern but for sampling parameters (temperature, top_p, top_k, min_p, repeat_penalty, presence_penalty). Loaded by `core/config/inference_defaults.go` and applied by `ApplyInferenceDefaults()`. The schema is `map[string]float64` only — *strings don't fit*, which is why parser defaults needed their own JSON file. The inference file is **auto-generated from unsloth** via `go generate ./core/config/` (see `core/config/gen_inference_defaults/`) — don't hand-edit it; instead update the upstream source or regenerate. Both files share `normalizeModelID()` and the longest-first pattern ordering.
+
+**Constructor compatibility gotcha:** the abstract `ToolParser.__init__` accepts `tools=`, but several concrete parsers (Hermes2ProToolParser, etc.) override `__init__` and *only* accept `tokenizer`. Always:
+
+```python
+try:
+    tp = self.tool_parser_cls(self.tokenizer, tools=tools)
+except TypeError:
+    tp = self.tool_parser_cls(self.tokenizer)
+```
+
+## ChatDelta is the streaming contract
+
+The Go side (`core/backend/llm.go`, `pkg/functions/chat_deltas.go`) consumes `Reply.chat_deltas` to assemble the OpenAI response. For tool calls to surface in `chat/completions`, the Python backend **must** populate `Reply.chat_deltas[].tool_calls` with `ToolCallDelta{index, id, name, arguments}`. Returning the raw `<tool_call>...</tool_call>` text in `Reply.message` is *not* enough — the Go regex fallback exists for llama.cpp, not for vllm.
+
+Same story for `reasoning_content` — emit it on `ChatDelta.reasoning_content`, not as part of `content`.
+
+## Message conversion to chat templates
+
+`tokenizer.apply_chat_template()` expects a list of dicts, not proto Messages. The shared helper in `backend/python/common/vllm_utils.py` (`messages_to_dicts`) handles the mapping including:
+
+- `tool_call_id` and `name` for `role="tool"` messages
+- `tool_calls` JSON-string field → parsed Python list for `role="assistant"`
+- `reasoning_content` for thinking models
+
+Pass `tools=json.loads(request.Tools)` and (when `request.Metadata.get("enable_thinking") == "true"`) `enable_thinking=True` to `apply_chat_template`. Wrap in `try/except TypeError` because not every tokenizer template accepts those kwargs.
+
+## CPU support and the SIMD/library minefield
+
+vLLM publishes prebuilt CPU wheels at `https://github.com/vllm-project/vllm/releases/...`. The pin lives in `backend/python/vllm/requirements-cpu-after.txt`.
+
+**Version compatibility — important:** newer vllm CPU wheels (≥ 0.15) declare `torch==2.10.0+cpu` as a hard dep, but `torch==2.10.0` only exists on the PyTorch test channel and pulls in an incompatible `torchvision`. Stay on **`vllm 0.14.1+cpu` + `torch 2.9.1+cpu`** until both upstream catch up. Bumping requires verifying torchvision/torchaudio match.
+
+`requirements-cpu.txt` uses `--extra-index-url https://download.pytorch.org/whl/cpu`. `install.sh` adds `--index-strategy=unsafe-best-match` for the `cpu` profile so uv resolves transformers/vllm from PyPI while pulling torch from the PyTorch index.
+
+**SIMD baseline:** the prebuilt CPU wheel is compiled with AVX-512 VNNI/BF16. On a CPU without those instructions, importing `vllm.model_executor.models.registry` SIGILLs at `_run_in_subprocess` time during model inspection. There is no runtime flag to disable it. Workarounds:
+
+1. **Run on a host with the right SIMD baseline** (default — fast)
+2. **Build from source** with `FROM_SOURCE=true` env var. Plumbing exists end-to-end:
+   - `install.sh` hides `requirements-cpu-after.txt`, runs `installRequirements` for the base deps, then clones vllm and `VLLM_TARGET_DEVICE=cpu uv pip install --no-deps .`
+   - `backend/Dockerfile.python` declares `ARG FROM_SOURCE` + `ENV FROM_SOURCE`
+   - `Makefile` `docker-build-backend` macro forwards `--build-arg FROM_SOURCE=$(FROM_SOURCE)` when set
+   - Source build takes 30–50 minutes — too slow for per-PR CI but fine for local.
+
+**Runtime shared libraries:** vLLM's `vllm._C` extension `dlopen`s `libnuma.so.1` at import time. If missing, the C extension silently fails and `torch.ops._C_utils.init_cpu_threads_env` is never registered → `EngineCore` crashes on `init_device` with:
+
+```
+AttributeError: '_OpNamespace' '_C_utils' object has no attribute 'init_cpu_threads_env'
+```
+
+`backend/python/vllm/package.sh` bundles `libnuma.so.1` and `libgomp.so.1` into `${BACKEND}/lib/`, which `libbackend.sh` adds to `LD_LIBRARY_PATH` at run time. The builder stage in `backend/Dockerfile.python` installs `libnuma1`/`libgomp1` so package.sh has something to copy. Do *not* assume the production host has these — backend images are `FROM scratch`.
+
+## Backend hook system (`core/config/backend_hooks.go`)
+
+Per-backend defaults that used to be hardcoded in `ModelConfig.Prepare()` now live in `core/config/hooks_*.go` files and self-register via `init()`:
+
+- `hooks_llamacpp.go` → GGUF metadata parsing, context size, GPU layers, jinja template
+- `hooks_vllm.go` → tool/reasoning parser auto-selection from `parser_defaults.json`
+
+Hook keys:
+- `"llama-cpp"`, `"vllm"`, `"vllm-omni"`, … — backend-specific
+- `""` — runs only when `cfg.Backend` is empty (auto-detect case)
+- `"*"` — global catch-all, runs for every backend before specific hooks
+
+Multiple hooks per key are supported and run in registration order. Adding a new backend default:
+
+```go
+// core/config/hooks_<backend>.go
+func init() {
+    RegisterBackendHook("<backend>", myDefaults)
+}
+func myDefaults(cfg *ModelConfig, modelPath string) {
+    // only fill in fields the user didn't set
+}
+```
+
+## The `Messages.ToProto()` fields you need to set
+
+`core/schema/message.go:ToProto()` must serialize:
+- `ToolCallID` → `proto.Message.ToolCallId` (for `role="tool"` messages — links result back to the call)
+- `Reasoning` → `proto.Message.ReasoningContent`
+- `ToolCalls` → `proto.Message.ToolCalls` (JSON-encoded string)
+
+These were originally not serialized and tool-calling conversations broke silently — the C++ llama.cpp backend reads them but always got empty strings. Any new field added to `schema.Message` *and* `proto.Message` needs a matching line in `ToProto()`.

.air.toml

@@ -0,0 +1,8 @@
+# .air.toml
+[build]
+cmd = "make build"
+bin = "./local-ai"
+args_bin = [ "--debug" ]
+include_ext = ["go", "html", "yaml", "toml", "json", "txt", "md"]
+exclude_dir = ["pkg/grpc/proto"]
+delay = 1000

.devcontainer/docker-compose-devcontainer.yml

@@ -10,7 +10,8 @@ services:
       - 8080:8080
     volumes:
       - localai_workspace:/workspace
-      - ../models:/host-models
+      - models:/host-models
+      - backends:/host-backends
       - ./customization:/devcontainer-customization
     command: /bin/sh -c "while sleep 1000; do :; done"
     cap_add:
@@ -39,6 +40,9 @@ services:
       - GF_SECURITY_ADMIN_PASSWORD=grafana
     volumes:
       - ./grafana:/etc/grafana/provisioning/datasources
+
 volumes:
   prom_data:
-  localai_workspace:
+  localai_workspace:
+  models:
+  backends:

.dockerignore

@@ -6,6 +6,10 @@ models
 backends
 examples/chatbot-ui/models
 backend/go/image/stablediffusion-ggml/build/
+backend/go/*/build
+backend/go/*/.cache
+backend/go/*/sources
+backend/go/*/package
 examples/rwkv/models
 examples/**/models
 Dockerfile*

.env

@@ -26,21 +26,15 @@
 ## Disables COMPEL (Diffusers)
 # COMPEL=0
 
+## Disables SD_EMBED (Diffusers)
+# SD_EMBED=0
+
 ## Enable/Disable single backend (useful if only one GPU is available)
 # LOCALAI_SINGLE_ACTIVE_BACKEND=true
 
 # Forces shutdown of the backends if busy (only if LOCALAI_SINGLE_ACTIVE_BACKEND is set)
 # LOCALAI_FORCE_BACKEND_SHUTDOWN=true
 
-## Specify a build type. Available: cublas, openblas, clblas.
-## cuBLAS: This is a GPU-accelerated version of the complete standard BLAS (Basic Linear Algebra Subprograms) library. It's provided by Nvidia and is part of their CUDA toolkit.
-## OpenBLAS: This is an open-source implementation of the BLAS library that aims to provide highly optimized code for various platforms. It includes support for multi-threading and can be compiled to use hardware-specific features for additional performance. OpenBLAS can run on many kinds of hardware, including CPUs from Intel, AMD, and ARM.
-## clBLAS:   This is an open-source implementation of the BLAS library that uses OpenCL, a framework for writing programs that execute across heterogeneous platforms consisting of CPUs, GPUs, and other processors. clBLAS is designed to take advantage of the parallel computing power of GPUs but can also run on any hardware that supports OpenCL. This includes hardware from different vendors like Nvidia, AMD, and Intel.
-# BUILD_TYPE=openblas
-
-## Uncomment and set to true to enable rebuilding from source
-# REBUILD=true
-
 ## Path where to store generated images
 # LOCALAI_IMAGE_PATH=/tmp/generated/images
 

.github/gallery-agent/gallery.go

@@ -0,0 +1,213 @@
+package main
+
+import (
+	"context"
+	"encoding/json"
+	"fmt"
+	"os"
+	"strings"
+
+	"github.com/mudler/LocalAI/core/gallery/importers"
+	"sigs.k8s.io/yaml"
+)
+
+func formatTextContent(text string) string {
+	return formatTextContentWithIndent(text, 4, 6)
+}
+
+// formatTextContentWithIndent formats text content with specified base and list item indentation
+func formatTextContentWithIndent(text string, baseIndent int, listItemIndent int) string {
+	var formattedLines []string
+	lines := strings.Split(text, "\n")
+	for _, line := range lines {
+		trimmed := strings.TrimRight(line, " \t\r")
+		if trimmed == "" {
+			// Keep empty lines as empty (no indentation)
+			formattedLines = append(formattedLines, "")
+		} else {
+			// Preserve relative indentation from yaml.Marshal output
+			// Count existing leading spaces to preserve relative structure
+			leadingSpaces := len(trimmed) - len(strings.TrimLeft(trimmed, " \t"))
+			trimmedStripped := strings.TrimLeft(trimmed, " \t")
+
+			var totalIndent int
+			if strings.HasPrefix(trimmedStripped, "-") {
+				// List items: use listItemIndent (ignore existing leading spaces)
+				totalIndent = listItemIndent
+			} else {
+				// Regular lines: use baseIndent + preserve relative indentation
+				// This handles both top-level keys (leadingSpaces=0) and nested properties (leadingSpaces>0)
+				totalIndent = baseIndent + leadingSpaces
+			}
+
+			indentStr := strings.Repeat(" ", totalIndent)
+			formattedLines = append(formattedLines, indentStr+trimmedStripped)
+		}
+	}
+	formattedText := strings.Join(formattedLines, "\n")
+	// Remove any trailing spaces from the formatted description
+	formattedText = strings.TrimRight(formattedText, " \t")
+	return formattedText
+}
+
+// generateYAMLEntry generates a YAML entry for a model using the specified anchor
+func generateYAMLEntry(model ProcessedModel, quantization string) string {
+	modelConfig, err := importers.DiscoverModelConfig("https://huggingface.co/"+model.ModelID, json.RawMessage(`{ "quantization": "`+quantization+`"}`))
+	if err != nil {
+		panic(err)
+	}
+
+	// Extract model name from ModelID
+	parts := strings.Split(model.ModelID, "/")
+	modelName := model.ModelID
+	if len(parts) > 0 {
+		modelName = strings.ToLower(parts[len(parts)-1])
+	}
+	// Remove common suffixes
+	modelName = strings.ReplaceAll(modelName, "-gguf", "")
+	modelName = strings.ReplaceAll(modelName, "-q4_k_m", "")
+	modelName = strings.ReplaceAll(modelName, "-q4_k_s", "")
+	modelName = strings.ReplaceAll(modelName, "-q3_k_m", "")
+	modelName = strings.ReplaceAll(modelName, "-q2_k", "")
+
+	description := model.ReadmeContent
+	if description == "" {
+		description = fmt.Sprintf("AI model: %s", modelName)
+	}
+
+	// Clean up description to prevent YAML linting issues
+	description = cleanTextContent(description)
+	formattedDescription := formatTextContent(description)
+
+	// Strip name and description from config file since they are
+	// already present at the gallery entry level and should not
+	// appear under overrides.
+	configFileContent := modelConfig.ConfigFile
+	var cfgMap map[string]any
+	if err := yaml.Unmarshal([]byte(configFileContent), &cfgMap); err == nil {
+		delete(cfgMap, "name")
+		delete(cfgMap, "description")
+		if cleaned, err := yaml.Marshal(cfgMap); err == nil {
+			configFileContent = string(cleaned)
+		}
+	}
+
+	configFile := formatTextContent(configFileContent)
+
+	filesYAML, _ := yaml.Marshal(modelConfig.Files)
+
+	// Files section: list items need 4 spaces (not 6), since files: is at 2 spaces
+	files := formatTextContentWithIndent(string(filesYAML), 4, 4)
+
+	// Build metadata sections
+	var metadataSections []string
+
+	// Add license if present
+	if model.License != "" {
+		metadataSections = append(metadataSections, fmt.Sprintf(`  license: "%s"`, model.License))
+	}
+
+	// Add tags if present
+	if len(model.Tags) > 0 {
+		tagsYAML, _ := yaml.Marshal(model.Tags)
+		tagsFormatted := formatTextContentWithIndent(string(tagsYAML), 4, 4)
+		tagsFormatted = strings.TrimRight(tagsFormatted, "\n")
+		metadataSections = append(metadataSections, fmt.Sprintf("  tags:\n%s", tagsFormatted))
+	}
+
+	// Add icon if present
+	if model.Icon != "" {
+		metadataSections = append(metadataSections, fmt.Sprintf(`  icon: %s`, model.Icon))
+	}
+
+	// Build the metadata block
+	metadataBlock := ""
+	if len(metadataSections) > 0 {
+		metadataBlock = strings.Join(metadataSections, "\n") + "\n"
+	}
+
+	yamlTemplate := ""
+	yamlTemplate = `- name: "%s"
+  url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
+  urls:
+    - https://huggingface.co/%s
+  description: |
+%s%s
+  overrides:
+%s
+  files:
+%s`
+	// Trim trailing newlines from formatted sections to prevent extra blank lines
+	formattedDescription = strings.TrimRight(formattedDescription, "\n")
+	configFile = strings.TrimRight(configFile, "\n")
+	files = strings.TrimRight(files, "\n")
+	// Add newline before metadata block if present
+	if metadataBlock != "" {
+		metadataBlock = "\n" + strings.TrimRight(metadataBlock, "\n")
+	}
+	return fmt.Sprintf(yamlTemplate,
+		modelName,
+		model.ModelID,
+		formattedDescription,
+		metadataBlock,
+		configFile,
+		files,
+	)
+}
+
+// generateYAMLForModels generates YAML entries for selected models and appends to index.yaml
+func generateYAMLForModels(ctx context.Context, models []ProcessedModel, quantization string) error {
+
+	// Generate YAML entries for each model
+	var yamlEntries []string
+	for _, model := range models {
+		fmt.Printf("Generating YAML entry for model: %s\n", model.ModelID)
+
+		// Generate YAML entry
+		yamlEntry := generateYAMLEntry(model, quantization)
+		yamlEntries = append(yamlEntries, yamlEntry)
+	}
+
+	// Prepend to index.yaml (write at the top)
+	if len(yamlEntries) > 0 {
+		indexPath := getGalleryIndexPath()
+		fmt.Printf("Prepending YAML entries to %s...\n", indexPath)
+
+		// Read current content
+		content, err := os.ReadFile(indexPath)
+		if err != nil {
+			return fmt.Errorf("failed to read %s: %w", indexPath, err)
+		}
+
+		existingContent := string(content)
+		yamlBlock := strings.Join(yamlEntries, "\n")
+
+		// Check if file starts with "---"
+		var newContent string
+		if strings.HasPrefix(existingContent, "---\n") {
+			// File starts with "---", prepend new entries after it
+			restOfContent := strings.TrimPrefix(existingContent, "---\n")
+			// Ensure proper spacing: "---\n" + new entries + "\n" + rest of content
+			newContent = "---\n" + yamlBlock + "\n" + restOfContent
+		} else if strings.HasPrefix(existingContent, "---") {
+			// File starts with "---" but no newline after
+			restOfContent := strings.TrimPrefix(existingContent, "---")
+			newContent = "---\n" + yamlBlock + "\n" + strings.TrimPrefix(restOfContent, "\n")
+		} else {
+			// No "---" at start, prepend new entries at the very beginning
+			// Trim leading whitespace from existing content
+			existingContent = strings.TrimLeft(existingContent, " \t\n\r")
+			newContent = yamlBlock + "\n" + existingContent
+		}
+
+		// Write back to file
+		err = os.WriteFile(indexPath, []byte(newContent), 0644)
+		if err != nil {
+			return fmt.Errorf("failed to write %s: %w", indexPath, err)
+		}
+
+		fmt.Printf("Successfully prepended %d models to %s\n", len(yamlEntries), indexPath)
+	}
+
+	return nil
+}

.github/gallery-agent/helpers.go

@@ -0,0 +1,301 @@
+package main
+
+import (
+	"encoding/json"
+	"fmt"
+	"io"
+	"net/http"
+	"os"
+	"regexp"
+	"strings"
+
+	hfapi "github.com/mudler/LocalAI/pkg/huggingface-api"
+	"sigs.k8s.io/yaml"
+)
+
+var galleryIndexPath = os.Getenv("GALLERY_INDEX_PATH")
+
+// getGalleryIndexPath returns the gallery index file path, with a default fallback
+func getGalleryIndexPath() string {
+	if galleryIndexPath != "" {
+		return galleryIndexPath
+	}
+	return "gallery/index.yaml"
+}
+
+type galleryModel struct {
+	Name string   `yaml:"name"`
+	Urls []string `yaml:"urls"`
+}
+
+// loadGalleryURLSet parses gallery/index.yaml once and returns the set of
+// HuggingFace model URLs already present in the gallery.
+func loadGalleryURLSet() (map[string]struct{}, error) {
+	indexPath := getGalleryIndexPath()
+	content, err := os.ReadFile(indexPath)
+	if err != nil {
+		return nil, fmt.Errorf("failed to read %s: %w", indexPath, err)
+	}
+
+	var galleryModels []galleryModel
+	if err := yaml.Unmarshal(content, &galleryModels); err != nil {
+		return nil, fmt.Errorf("failed to unmarshal %s: %w", indexPath, err)
+	}
+
+	set := make(map[string]struct{}, len(galleryModels))
+	for _, gm := range galleryModels {
+		for _, u := range gm.Urls {
+			set[u] = struct{}{}
+		}
+	}
+
+	// Also skip URLs already proposed in open (unmerged) gallery-agent PRs.
+	// The workflow injects these via EXTRA_SKIP_URLS so we don't keep
+	// re-proposing the same model every run while a PR is waiting to merge.
+	for _, line := range strings.FieldsFunc(os.Getenv("EXTRA_SKIP_URLS"), func(r rune) bool {
+		return r == '\n' || r == ',' || r == ' '
+	}) {
+		u := strings.TrimSpace(line)
+		if u != "" {
+			set[u] = struct{}{}
+		}
+	}
+
+	return set, nil
+}
+
+// modelAlreadyInGallery checks whether a HuggingFace model repo is already
+// referenced in the gallery URL set.
+func modelAlreadyInGallery(set map[string]struct{}, modelID string) bool {
+	_, ok := set["https://huggingface.co/"+modelID]
+	return ok
+}
+
+// baseModelFromTags returns the first `base_model:<repo>` value found in the
+// tag list, or "" if none is present. HuggingFace surfaces the base model
+// declared in the model card's YAML frontmatter as such a tag.
+func baseModelFromTags(tags []string) string {
+	for _, t := range tags {
+		if strings.HasPrefix(t, "base_model:") {
+			return strings.TrimPrefix(t, "base_model:")
+		}
+	}
+	return ""
+}
+
+// licenseFromTags returns the `license:<id>` value from the tag list, or "".
+func licenseFromTags(tags []string) string {
+	for _, t := range tags {
+		if strings.HasPrefix(t, "license:") {
+			return strings.TrimPrefix(t, "license:")
+		}
+	}
+	return ""
+}
+
+// curatedTags produces the gallery tag list from HuggingFace's raw tag set.
+// Always includes llm + gguf, then adds whitelisted family / capability
+// markers when they appear in the HF tag list.
+func curatedTags(hfTags []string) []string {
+	whitelist := []string{
+		"gpu", "cpu",
+		"llama", "mistral", "mixtral", "qwen", "qwen2", "qwen3",
+		"gemma", "gemma2", "gemma3", "phi", "phi3", "phi4",
+		"deepseek", "yi", "falcon", "command-r",
+		"vision", "multimodal", "code", "chat",
+		"instruction-tuned", "reasoning", "thinking",
+	}
+	seen := map[string]struct{}{}
+	out := []string{"llm", "gguf"}
+	seen["llm"] = struct{}{}
+	seen["gguf"] = struct{}{}
+
+	hfSet := map[string]struct{}{}
+	for _, t := range hfTags {
+		hfSet[strings.ToLower(t)] = struct{}{}
+	}
+	for _, w := range whitelist {
+		if _, ok := hfSet[w]; ok {
+			if _, dup := seen[w]; !dup {
+				out = append(out, w)
+				seen[w] = struct{}{}
+			}
+		}
+	}
+	return out
+}
+
+// resolveReadme fetches a description-quality README for a (possibly
+// quantized) repo: if a `base_model:` tag is present, fetch the base repo's
+// README; otherwise fall back to the repo's own README.
+func resolveReadme(client *hfapi.Client, modelID string, hfTags []string) (string, error) {
+	if base := baseModelFromTags(hfTags); base != "" && base != modelID {
+		if content, err := client.GetReadmeContent(base, "README.md"); err == nil && strings.TrimSpace(content) != "" {
+			return cleanTextContent(content), nil
+		}
+	}
+	content, err := client.GetReadmeContent(modelID, "README.md")
+	if err != nil {
+		return "", err
+	}
+	return cleanTextContent(content), nil
+}
+
+// extractDescription turns a raw HuggingFace README into a concise plain-text
+// description suitable for embedding in gallery/index.yaml: strips YAML
+// frontmatter, HTML tags/comments, markdown images, link URLs (keeping the
+// link text), markdown tables, and then truncates at a paragraph boundary
+// around ~1200 characters. Raw README should still be used for icon
+// extraction — call this only for the `description:` field.
+func extractDescription(readme string) string {
+	s := readme
+
+	// Strip leading YAML frontmatter: `---\n...\n---\n` at start of file.
+	if strings.HasPrefix(strings.TrimLeft(s, " \t\n"), "---") {
+		trimmed := strings.TrimLeft(s, " \t\n")
+		rest := strings.TrimPrefix(trimmed, "---")
+		if idx := strings.Index(rest, "\n---"); idx >= 0 {
+			after := rest[idx+len("\n---"):]
+			after = strings.TrimPrefix(after, "\n")
+			s = after
+		}
+	}
+
+	// Strip HTML comments and tags.
+	s = regexp.MustCompile(`(?s)<!--.*?-->`).ReplaceAllString(s, "")
+	s = regexp.MustCompile(`(?is)<[^>]+>`).ReplaceAllString(s, "")
+
+	// Strip markdown images entirely.
+	s = regexp.MustCompile(`!\[[^\]]*\]\([^)]*\)`).ReplaceAllString(s, "")
+	// Replace markdown links `[text](url)` with just `text`.
+	s = regexp.MustCompile(`\[([^\]]+)\]\([^)]+\)`).ReplaceAllString(s, "$1")
+
+	// Drop table lines and horizontal rules, and flatten all leading
+	// whitespace: generateYAMLEntry embeds this under a `description: |`
+	// literal block whose indentation is set by the first non-empty line.
+	// If any line has extra leading whitespace (e.g. from an indented
+	// `<p align="center">` block in the original README), YAML will pick
+	// that up as the block's indent and every later line at a smaller
+	// indent blows the block scalar. Stripping leading whitespace here
+	// guarantees uniform 4-space indentation after formatTextContent runs.
+	var kept []string
+	for _, line := range strings.Split(s, "\n") {
+		t := strings.TrimLeft(line, " \t")
+		ts := strings.TrimSpace(t)
+		if strings.HasPrefix(ts, "|") {
+			continue
+		}
+		if strings.HasPrefix(ts, ":--") || strings.HasPrefix(ts, "---") || strings.HasPrefix(ts, "===") {
+			continue
+		}
+		kept = append(kept, t)
+	}
+	s = strings.Join(kept, "\n")
+
+	// Normalise whitespace and drop any leading blank lines so the literal
+	// block in YAML doesn't start with a blank first line (which would
+	// break the indentation detector the same way).
+	s = cleanTextContent(s)
+	s = strings.TrimLeft(s, " \t\n")
+
+	// Truncate at a paragraph boundary around maxLen chars.
+	const maxLen = 1200
+	if len(s) > maxLen {
+		cut := strings.LastIndex(s[:maxLen], "\n\n")
+		if cut < maxLen/3 {
+			cut = maxLen
+		}
+		s = strings.TrimRight(s[:cut], " \t\n") + "\n\n..."
+	}
+
+	return s
+}
+
+// cleanTextContent removes trailing spaces/tabs and collapses multiple empty
+// lines so README content embeds cleanly into YAML without lint noise.
+func cleanTextContent(text string) string {
+	lines := strings.Split(text, "\n")
+	var cleaned []string
+	var prevEmpty bool
+	for _, line := range lines {
+		trimmed := strings.TrimRight(line, " \t\r")
+		if trimmed == "" {
+			if !prevEmpty {
+				cleaned = append(cleaned, "")
+			}
+			prevEmpty = true
+		} else {
+			cleaned = append(cleaned, trimmed)
+			prevEmpty = false
+		}
+	}
+	return strings.TrimRight(strings.Join(cleaned, "\n"), "\n")
+}
+
+// extractIconFromReadme scans README content for an image URL usable as a
+// gallery entry icon.
+func extractIconFromReadme(readmeContent string) string {
+	if readmeContent == "" {
+		return ""
+	}
+
+	markdownImageRegex := regexp.MustCompile(`(?i)!\[[^\]]*\]\(([^)]+\.(png|jpg|jpeg|svg|webp|gif))\)`)
+	htmlImageRegex := regexp.MustCompile(`(?i)<img[^>]+src=["']([^"']+\.(png|jpg|jpeg|svg|webp|gif))["']`)
+	plainImageRegex := regexp.MustCompile(`(?i)https?://[^\s<>"']+\.(png|jpg|jpeg|svg|webp|gif)`)
+
+	if m := markdownImageRegex.FindStringSubmatch(readmeContent); len(m) > 1 && strings.HasPrefix(strings.ToLower(m[1]), "http") {
+		return strings.TrimSpace(m[1])
+	}
+	if m := htmlImageRegex.FindStringSubmatch(readmeContent); len(m) > 1 && strings.HasPrefix(strings.ToLower(m[1]), "http") {
+		return strings.TrimSpace(m[1])
+	}
+	if m := plainImageRegex.FindStringSubmatch(readmeContent); len(m) > 0 && strings.HasPrefix(strings.ToLower(m[0]), "http") {
+		return strings.TrimSpace(m[0])
+	}
+	return ""
+}
+
+// getHuggingFaceAvatarURL returns the HF avatar URL for a user, or "".
+func getHuggingFaceAvatarURL(author string) string {
+	if author == "" {
+		return ""
+	}
+	userURL := fmt.Sprintf("https://huggingface.co/api/users/%s/overview", author)
+	resp, err := http.Get(userURL)
+	if err != nil {
+		return ""
+	}
+	defer resp.Body.Close()
+	if resp.StatusCode != http.StatusOK {
+		return ""
+	}
+	body, err := io.ReadAll(resp.Body)
+	if err != nil {
+		return ""
+	}
+	var info map[string]any
+	if err := json.Unmarshal(body, &info); err != nil {
+		return ""
+	}
+	if v, ok := info["avatarUrl"].(string); ok && v != "" {
+		return v
+	}
+	if v, ok := info["avatar"].(string); ok && v != "" {
+		return v
+	}
+	return ""
+}
+
+// extractModelIcon extracts an icon URL from the README, falling back to the
+// HuggingFace user avatar.
+func extractModelIcon(model ProcessedModel) string {
+	if icon := extractIconFromReadme(model.ReadmeContent); icon != "" {
+		return icon
+	}
+	if model.Author != "" {
+		if avatar := getHuggingFaceAvatarURL(model.Author); avatar != "" {
+			return avatar
+		}
+	}
+	return ""
+}

.github/gallery-agent/main.go

@@ -0,0 +1,280 @@
+package main
+
+import (
+	"context"
+	"encoding/json"
+	"fmt"
+	"os"
+	"strconv"
+	"time"
+
+	hfapi "github.com/mudler/LocalAI/pkg/huggingface-api"
+)
+
+// ProcessedModelFile represents a processed model file with additional metadata
+type ProcessedModelFile struct {
+	Path     string `json:"path"`
+	Size     int64  `json:"size"`
+	SHA256   string `json:"sha256"`
+	IsReadme bool   `json:"is_readme"`
+	FileType string `json:"file_type"` // "model", "readme", "other"
+}
+
+// ProcessedModel represents a processed model with all gathered metadata
+type ProcessedModel struct {
+	ModelID                 string               `json:"model_id"`
+	Author                  string               `json:"author"`
+	Downloads               int                  `json:"downloads"`
+	LastModified            string               `json:"last_modified"`
+	Files                   []ProcessedModelFile `json:"files"`
+	PreferredModelFile      *ProcessedModelFile  `json:"preferred_model_file,omitempty"`
+	ReadmeFile              *ProcessedModelFile  `json:"readme_file,omitempty"`
+	ReadmeContent           string               `json:"readme_content,omitempty"`
+	ReadmeContentPreview    string               `json:"readme_content_preview,omitempty"`
+	QuantizationPreferences []string             `json:"quantization_preferences"`
+	ProcessingError         string               `json:"processing_error,omitempty"`
+	Tags                    []string             `json:"tags,omitempty"`
+	License                 string               `json:"license,omitempty"`
+	Icon                    string               `json:"icon,omitempty"`
+}
+
+// AddedModelSummary represents a summary of models added to the gallery
+type AddedModelSummary struct {
+	SearchTerm     string   `json:"search_term"`
+	TotalFound     int      `json:"total_found"`
+	ModelsAdded    int      `json:"models_added"`
+	AddedModelIDs  []string `json:"added_model_ids"`
+	AddedModelURLs []string `json:"added_model_urls"`
+	Quantization   string   `json:"quantization"`
+	ProcessingTime string   `json:"processing_time"`
+}
+
+func main() {
+	startTime := time.Now()
+
+	// Synthetic mode for local testing
+	if sm := os.Getenv("SYNTHETIC_MODE"); sm == "true" || sm == "1" {
+		fmt.Println("Running in SYNTHETIC MODE - generating random test data")
+		if err := runSyntheticMode(); err != nil {
+			fmt.Fprintf(os.Stderr, "Error in synthetic mode: %v\n", err)
+			os.Exit(1)
+		}
+		return
+	}
+
+	searchTerm := os.Getenv("SEARCH_TERM")
+	if searchTerm == "" {
+		searchTerm = "GGUF"
+	}
+
+	limitStr := os.Getenv("LIMIT")
+	if limitStr == "" {
+		limitStr = "15"
+	}
+	limit, err := strconv.Atoi(limitStr)
+	if err != nil {
+		fmt.Fprintf(os.Stderr, "Error parsing LIMIT: %v\n", err)
+		os.Exit(1)
+	}
+
+	quantization := os.Getenv("QUANTIZATION")
+	if quantization == "" {
+		quantization = "Q4_K_M"
+	}
+
+	maxModelsStr := os.Getenv("MAX_MODELS")
+	if maxModelsStr == "" {
+		maxModelsStr = "1"
+	}
+	maxModels, err := strconv.Atoi(maxModelsStr)
+	if err != nil {
+		fmt.Fprintf(os.Stderr, "Error parsing MAX_MODELS: %v\n", err)
+		os.Exit(1)
+	}
+
+	fmt.Printf("Gallery Agent Configuration:\n")
+	fmt.Printf("  Search Term: %s\n", searchTerm)
+	fmt.Printf("  Limit: %d\n", limit)
+	fmt.Printf("  Quantization: %s\n", quantization)
+	fmt.Printf("  Max Models to Add: %d\n", maxModels)
+	fmt.Printf("  Gallery Index Path: %s\n", getGalleryIndexPath())
+	fmt.Println()
+
+	// Phase 1: load current gallery and query HuggingFace.
+	gallerySet, err := loadGalleryURLSet()
+	if err != nil {
+		fmt.Fprintf(os.Stderr, "Error loading gallery index: %v\n", err)
+		os.Exit(1)
+	}
+	fmt.Printf("Loaded %d existing gallery entries\n", len(gallerySet))
+
+	client := hfapi.NewClient()
+
+	fmt.Println("Searching for trending models on HuggingFace...")
+	rawModels, err := client.GetTrending(searchTerm, limit)
+	if err != nil {
+		fmt.Fprintf(os.Stderr, "Error fetching models: %v\n", err)
+		os.Exit(1)
+	}
+	fmt.Printf("Found %d trending models matching %q\n", len(rawModels), searchTerm)
+	totalFound := len(rawModels)
+
+	// Phase 2: drop anything already in the gallery *before* any expensive
+	// per-model work (GetModelDetails, README fetches, icon lookups).
+	fresh := rawModels[:0]
+	for _, m := range rawModels {
+		if modelAlreadyInGallery(gallerySet, m.ModelID) {
+			fmt.Printf("Skipping existing model: %s\n", m.ModelID)
+			continue
+		}
+		fresh = append(fresh, m)
+	}
+	fmt.Printf("%d candidates after gallery dedup\n", len(fresh))
+
+	// Phase 3: HuggingFace already returned these in trendingScore order —
+	// just cap to MAX_MODELS.
+	if len(fresh) > maxModels {
+		fresh = fresh[:maxModels]
+	}
+	if len(fresh) == 0 {
+		fmt.Println("No new models to add to the gallery.")
+		writeSummary(AddedModelSummary{
+			SearchTerm:     searchTerm,
+			TotalFound:     totalFound,
+			ModelsAdded:    0,
+			Quantization:   quantization,
+			ProcessingTime: time.Since(startTime).String(),
+		})
+		return
+	}
+
+	// Phase 4: fetch details and build ProcessedModel entries for survivors.
+	var processed []ProcessedModel
+	quantPrefs := []string{quantization, "Q4_K_M", "Q4_K_S", "Q3_K_M", "Q2_K", "Q8_0"}
+	for _, m := range fresh {
+		fmt.Printf("Processing model: %s (downloads=%d)\n", m.ModelID, m.Downloads)
+
+		pm := ProcessedModel{
+			ModelID:                 m.ModelID,
+			Author:                  m.Author,
+			Downloads:               m.Downloads,
+			LastModified:            m.LastModified,
+			QuantizationPreferences: quantPrefs,
+		}
+
+		details, err := client.GetModelDetails(m.ModelID)
+		if err != nil {
+			fmt.Printf("  Error getting model details: %v (skipping)\n", err)
+			continue
+		}
+
+		preferred := hfapi.FindPreferredModelFile(details.Files, quantPrefs)
+		if preferred == nil {
+			fmt.Printf("  No GGUF file matching %v — skipping\n", quantPrefs)
+			continue
+		}
+
+		pm.Files = make([]ProcessedModelFile, len(details.Files))
+		for j, f := range details.Files {
+			fileType := "other"
+			if f.IsReadme {
+				fileType = "readme"
+			} else if f.Path == preferred.Path {
+				fileType = "model"
+			}
+			pm.Files[j] = ProcessedModelFile{
+				Path:     f.Path,
+				Size:     f.Size,
+				SHA256:   f.SHA256,
+				IsReadme: f.IsReadme,
+				FileType: fileType,
+			}
+			if f.Path == preferred.Path {
+				copyFile := pm.Files[j]
+				pm.PreferredModelFile = &copyFile
+			}
+			if f.IsReadme {
+				copyFile := pm.Files[j]
+				pm.ReadmeFile = &copyFile
+			}
+		}
+
+		// Deterministic README resolution: follow base_model tag if set.
+		// Keep the raw (HTML-bearing) README around while we extract the
+		// icon, then strip it down to a plain-text description for the
+		// `description:` YAML field.
+		readme, err := resolveReadme(client, m.ModelID, m.Tags)
+		if err != nil {
+			fmt.Printf("  Warning: failed to fetch README: %v\n", err)
+		}
+		pm.ReadmeContent = readme
+
+		pm.License = licenseFromTags(m.Tags)
+		pm.Tags = curatedTags(m.Tags)
+		pm.Icon = extractModelIcon(pm)
+
+		if pm.ReadmeContent != "" {
+			pm.ReadmeContent = extractDescription(pm.ReadmeContent)
+			pm.ReadmeContentPreview = truncateString(pm.ReadmeContent, 200)
+		}
+
+		fmt.Printf("  License: %s, Tags: %v, Icon: %s\n", pm.License, pm.Tags, pm.Icon)
+		processed = append(processed, pm)
+	}
+
+	if len(processed) == 0 {
+		fmt.Println("No processable models after detail fetch.")
+		writeSummary(AddedModelSummary{
+			SearchTerm:     searchTerm,
+			TotalFound:     totalFound,
+			ModelsAdded:    0,
+			Quantization:   quantization,
+			ProcessingTime: time.Since(startTime).String(),
+		})
+		return
+	}
+
+	// Phase 5: write YAML entries.
+	var addedIDs, addedURLs []string
+	for _, pm := range processed {
+		addedIDs = append(addedIDs, pm.ModelID)
+		addedURLs = append(addedURLs, "https://huggingface.co/"+pm.ModelID)
+	}
+
+	fmt.Println("Generating YAML entries for selected models...")
+	if err := generateYAMLForModels(context.Background(), processed, quantization); err != nil {
+		fmt.Fprintf(os.Stderr, "Error generating YAML entries: %v\n", err)
+		os.Exit(1)
+	}
+
+	writeSummary(AddedModelSummary{
+		SearchTerm:     searchTerm,
+		TotalFound:     totalFound,
+		ModelsAdded:    len(addedIDs),
+		AddedModelIDs:  addedIDs,
+		AddedModelURLs: addedURLs,
+		Quantization:   quantization,
+		ProcessingTime: time.Since(startTime).String(),
+	})
+}
+
+func writeSummary(summary AddedModelSummary) {
+	data, err := json.MarshalIndent(summary, "", "  ")
+	if err != nil {
+		fmt.Fprintf(os.Stderr, "Error marshaling summary: %v\n", err)
+		return
+	}
+	if err := os.WriteFile("gallery-agent-summary.json", data, 0644); err != nil {
+		fmt.Fprintf(os.Stderr, "Error writing summary file: %v\n", err)
+		return
+	}
+	fmt.Println("Summary written to gallery-agent-summary.json")
+}
+
+func truncateString(s string, maxLen int) string {
+	if len(s) <= maxLen {
+		return s
+	}
+	return s[:maxLen] + "..."
+}
+

.github/gallery-agent/testing.go

@@ -0,0 +1,224 @@
+package main
+
+import (
+	"context"
+	"fmt"
+	"math/rand/v2"
+	"strings"
+	"time"
+)
+
+// runSyntheticMode generates synthetic test data and appends it to the gallery
+func runSyntheticMode() error {
+	generator := NewSyntheticDataGenerator()
+
+	// Generate a random number of synthetic models (1-3)
+	numModels := generator.rand.IntN(3) + 1
+	fmt.Printf("Generating %d synthetic models for testing...\n", numModels)
+
+	var models []ProcessedModel
+	for range numModels {
+		model := generator.GenerateProcessedModel()
+		models = append(models, model)
+		fmt.Printf("Generated synthetic model: %s\n", model.ModelID)
+	}
+
+	// Generate YAML entries and append to gallery/index.yaml
+	fmt.Println("Generating YAML entries for synthetic models...")
+	err := generateYAMLForModels(context.Background(), models, "Q4_K_M")
+	if err != nil {
+		return fmt.Errorf("error generating YAML entries: %w", err)
+	}
+
+	fmt.Printf("Successfully added %d synthetic models to the gallery for testing!\n", len(models))
+	return nil
+}
+
+// SyntheticDataGenerator provides methods to generate synthetic test data
+type SyntheticDataGenerator struct {
+	rand *rand.Rand
+}
+
+// NewSyntheticDataGenerator creates a new synthetic data generator
+func NewSyntheticDataGenerator() *SyntheticDataGenerator {
+	return &SyntheticDataGenerator{
+		rand: rand.New(rand.NewPCG(uint64(time.Now().UnixNano()), 0)),
+	}
+}
+
+// GenerateProcessedModelFile creates a synthetic ProcessedModelFile
+func (g *SyntheticDataGenerator) GenerateProcessedModelFile() ProcessedModelFile {
+	fileTypes := []string{"model", "readme", "other"}
+	fileType := fileTypes[g.rand.IntN(len(fileTypes))]
+
+	var path string
+	var isReadme bool
+
+	switch fileType {
+	case "model":
+		path = fmt.Sprintf("model-%s.gguf", g.randomString(8))
+		isReadme = false
+	case "readme":
+		path = "README.md"
+		isReadme = true
+	default:
+		path = fmt.Sprintf("file-%s.txt", g.randomString(6))
+		isReadme = false
+	}
+
+	return ProcessedModelFile{
+		Path:     path,
+		Size:     int64(g.rand.IntN(1000000000) + 1000000), // 1MB to 1GB
+		SHA256:   g.randomSHA256(),
+		IsReadme: isReadme,
+		FileType: fileType,
+	}
+}
+
+// GenerateProcessedModel creates a synthetic ProcessedModel
+func (g *SyntheticDataGenerator) GenerateProcessedModel() ProcessedModel {
+	authors := []string{"microsoft", "meta", "google", "openai", "anthropic", "mistralai", "huggingface"}
+	modelNames := []string{"llama", "gpt", "claude", "mistral", "gemma", "phi", "qwen", "codellama"}
+
+	author := authors[g.rand.IntN(len(authors))]
+	modelName := modelNames[g.rand.IntN(len(modelNames))]
+	modelID := fmt.Sprintf("%s/%s-%s", author, modelName, g.randomString(6))
+
+	// Generate files
+	numFiles := g.rand.IntN(5) + 2 // 2-6 files
+	files := make([]ProcessedModelFile, numFiles)
+
+	// Ensure at least one model file and one readme
+	hasModelFile := false
+	hasReadme := false
+
+	for i := range numFiles {
+		files[i] = g.GenerateProcessedModelFile()
+		if files[i].FileType == "model" {
+			hasModelFile = true
+		}
+		if files[i].FileType == "readme" {
+			hasReadme = true
+		}
+	}
+
+	// Add required files if missing
+	if !hasModelFile {
+		modelFile := g.GenerateProcessedModelFile()
+		modelFile.FileType = "model"
+		modelFile.Path = fmt.Sprintf("%s-Q4_K_M.gguf", modelName)
+		files = append(files, modelFile)
+	}
+
+	if !hasReadme {
+		readmeFile := g.GenerateProcessedModelFile()
+		readmeFile.FileType = "readme"
+		readmeFile.Path = "README.md"
+		readmeFile.IsReadme = true
+		files = append(files, readmeFile)
+	}
+
+	// Find preferred model file
+	var preferredModelFile *ProcessedModelFile
+	for i := range files {
+		if files[i].FileType == "model" {
+			preferredModelFile = &files[i]
+			break
+		}
+	}
+
+	// Find readme file
+	var readmeFile *ProcessedModelFile
+	for i := range files {
+		if files[i].FileType == "readme" {
+			readmeFile = &files[i]
+			break
+		}
+	}
+
+	readmeContent := g.generateReadmeContent(modelName, author)
+
+	// Generate sample metadata
+	licenses := []string{"apache-2.0", "mit", "llama2", "gpl-3.0", "bsd", ""}
+	license := licenses[g.rand.IntN(len(licenses))]
+
+	sampleTags := []string{"llm", "gguf", "gpu", "cpu", "text-to-text", "chat", "instruction-tuned"}
+	numTags := g.rand.IntN(4) + 3 // 3-6 tags
+	tags := make([]string, numTags)
+	for i := range numTags {
+		tags[i] = sampleTags[g.rand.IntN(len(sampleTags))]
+	}
+	// Remove duplicates
+	tags = g.removeDuplicates(tags)
+
+	// Optionally include icon (50% chance)
+	icon := ""
+	if g.rand.IntN(2) == 0 {
+		icon = fmt.Sprintf("https://cdn-avatars.huggingface.co/v1/production/uploads/%s.png", g.randomString(24))
+	}
+
+	return ProcessedModel{
+		ModelID:                 modelID,
+		Author:                  author,
+		Downloads:               g.rand.IntN(1000000) + 1000,
+		LastModified:            g.randomDate(),
+		Files:                   files,
+		PreferredModelFile:      preferredModelFile,
+		ReadmeFile:              readmeFile,
+		ReadmeContent:           readmeContent,
+		ReadmeContentPreview:    truncateString(readmeContent, 200),
+		QuantizationPreferences: []string{"Q4_K_M", "Q4_K_S", "Q3_K_M", "Q2_K"},
+		ProcessingError:         "",
+		Tags:                    tags,
+		License:                 license,
+		Icon:                    icon,
+	}
+}
+
+// Helper methods for synthetic data generation
+func (g *SyntheticDataGenerator) randomString(length int) string {
+	const charset = "abcdefghijklmnopqrstuvwxyz0123456789"
+	b := make([]byte, length)
+	for i := range b {
+		b[i] = charset[g.rand.IntN(len(charset))]
+	}
+	return string(b)
+}
+
+func (g *SyntheticDataGenerator) randomSHA256() string {
+	const charset = "0123456789abcdef"
+	b := make([]byte, 64)
+	for i := range b {
+		b[i] = charset[g.rand.IntN(len(charset))]
+	}
+	return string(b)
+}
+
+func (g *SyntheticDataGenerator) randomDate() string {
+	now := time.Now()
+	daysAgo := g.rand.IntN(365) // Random date within last year
+	pastDate := now.AddDate(0, 0, -daysAgo)
+	return pastDate.Format("2006-01-02T15:04:05.000Z")
+}
+
+func (g *SyntheticDataGenerator) removeDuplicates(slice []string) []string {
+	keys := make(map[string]bool)
+	result := []string{}
+	for _, item := range slice {
+		if !keys[item] {
+			keys[item] = true
+			result = append(result, item)
+		}
+	}
+	return result
+}
+
+func (g *SyntheticDataGenerator) generateReadmeContent(modelName, author string) string {
+	templates := []string{
+		fmt.Sprintf("# %s Model\n\nThis is a %s model developed by %s. It's designed for various natural language processing tasks including text generation, question answering, and conversation.\n\n## Features\n\n- High-quality text generation\n- Efficient inference\n- Multiple quantization options\n- Easy to use with LocalAI\n\n## Usage\n\nUse this model with LocalAI for various AI tasks.", strings.Title(modelName), modelName, author),
+		fmt.Sprintf("# %s\n\nA powerful language model from %s. This model excels at understanding and generating human-like text across multiple domains.\n\n## Capabilities\n\n- Text completion\n- Code generation\n- Creative writing\n- Technical documentation\n\n## Model Details\n\n- Architecture: Transformer-based\n- Training: Large-scale supervised learning\n- Quantization: Available in multiple formats", strings.Title(modelName), author),
+		fmt.Sprintf("# %s Language Model\n\nDeveloped by %s, this model represents state-of-the-art performance in natural language understanding and generation.\n\n## Key Features\n\n- Multilingual support\n- Context-aware responses\n- Efficient memory usage\n- Fast inference speed\n\n## Applications\n\n- Chatbots and virtual assistants\n- Content generation\n- Code completion\n- Educational tools", strings.Title(modelName), author),
+	}
+
+	return templates[g.rand.IntN(len(templates))]
+}

.github/workflows/backend_build.yml

@@ -1,5 +1,5 @@
 ---
-name: 'build python backend container images (reusable)'
+name: 'build backend container images (reusable)'
 
 on:
   workflow_call:
@@ -53,11 +53,21 @@ on:
         description: 'Skip drivers'
         default: 'false'
         type: string
+      ubuntu-version:
+        description: 'Ubuntu version'
+        required: false
+        default: '2204'
+        type: string
+      amdgpu-targets:
+        description: 'AMD GPU targets for ROCm/HIP builds'
+        required: false
+        default: 'gfx908,gfx90a,gfx942,gfx950,gfx1030,gfx1100,gfx1101,gfx1102,gfx1151,gfx1200,gfx1201'
+        type: string
     secrets:
       dockerUsername:
-        required: true
+        required: false
       dockerPassword:
-        required: true
+        required: false
       quayUsername:
         required: true
       quayPassword:
@@ -66,6 +76,8 @@ on:
 jobs:
   backend-build:
     runs-on: ${{ inputs.runs-on }}
+    env:
+        quay_username: ${{ secrets.quayUsername }}
     steps:
 
 
@@ -95,7 +107,7 @@ jobs:
           && sudo apt-get install -y git
 
       - name: Checkout
-        uses: actions/checkout@v4
+        uses: actions/checkout@v6
 
       - name: Release space from worker
         if: inputs.runs-on == 'ubuntu-latest'
@@ -142,7 +154,7 @@ jobs:
       - name: Docker meta
         id: meta
         if: github.event_name != 'pull_request'
-        uses: docker/metadata-action@v5
+        uses: docker/metadata-action@v6
         with:
           images: |
             quay.io/go-skynet/local-ai-backends
@@ -158,7 +170,7 @@ jobs:
       - name: Docker meta for PR
         id: meta_pull_request
         if: github.event_name == 'pull_request'
-        uses: docker/metadata-action@v5
+        uses: docker/metadata-action@v6
         with:
           images: |
             quay.io/go-skynet/ci-tests
@@ -181,21 +193,21 @@ jobs:
 
       - name: Login to DockerHub
         if: github.event_name != 'pull_request'
-        uses: docker/login-action@v3
+        uses: docker/login-action@v4
         with:
           username: ${{ secrets.dockerUsername }}
           password: ${{ secrets.dockerPassword }}
 
       - name: Login to Quay.io
-        # if: github.event_name != 'pull_request'
-        uses: docker/login-action@v3
+        if: ${{ env.quay_username != '' }}
+        uses: docker/login-action@v4
         with:
           registry: quay.io
           username: ${{ secrets.quayUsername }}
           password: ${{ secrets.quayPassword }}
 
       - name: Build and push
-        uses: docker/build-push-action@v6
+        uses: docker/build-push-action@v7
         if: github.event_name != 'pull_request'
         with:
           builder: ${{ steps.buildx.outputs.name }}
@@ -206,6 +218,8 @@ jobs:
             CUDA_MINOR_VERSION=${{ inputs.cuda-minor-version }}
             BASE_IMAGE=${{ inputs.base-image }}
             BACKEND=${{ inputs.backend }}
+            UBUNTU_VERSION=${{ inputs.ubuntu-version }}
+            AMDGPU_TARGETS=${{ inputs.amdgpu-targets }}
           context: ${{ inputs.context }}
           file: ${{ inputs.dockerfile }}
           cache-from: type=gha
@@ -215,7 +229,7 @@ jobs:
           labels: ${{ steps.meta.outputs.labels }}
 
       - name: Build and push (PR)
-        uses: docker/build-push-action@v6
+        uses: docker/build-push-action@v7
         if: github.event_name == 'pull_request'
         with:
           builder: ${{ steps.buildx.outputs.name }}
@@ -226,11 +240,13 @@ jobs:
             CUDA_MINOR_VERSION=${{ inputs.cuda-minor-version }}
             BASE_IMAGE=${{ inputs.base-image }}
             BACKEND=${{ inputs.backend }}
+            UBUNTU_VERSION=${{ inputs.ubuntu-version }}
+            AMDGPU_TARGETS=${{ inputs.amdgpu-targets }}
           context: ${{ inputs.context }}
           file: ${{ inputs.dockerfile }}
           cache-from: type=gha
           platforms: ${{ inputs.platforms }}
-          push: true
+          push: ${{ env.quay_username != '' }}
           tags: ${{ steps.meta_pull_request.outputs.tags }}
           labels: ${{ steps.meta_pull_request.outputs.labels }}
 
@@ -238,4 +254,4 @@ jobs:
 
       - name: job summary
         run: |
-          echo "Built image: ${{ steps.meta.outputs.labels }}" >> $GITHUB_STEP_SUMMARY 
+          echo "Built image: ${{ steps.meta.outputs.labels }}" >> $GITHUB_STEP_SUMMARY

.github/workflows/backend_build_darwin.yml

@@ -0,0 +1,144 @@
+---
+name: 'build darwin python backend container images (reusable)'
+
+on:
+  workflow_call:
+    inputs:
+      backend:
+        description: 'Backend to build'
+        required: true
+        type: string
+      build-type:
+        description: 'Build type (e.g., mps)'
+        default: ''
+        type: string
+      use-pip:
+        description: 'Use pip to install dependencies'
+        default: false
+        type: boolean
+      lang:
+        description: 'Programming language (e.g. go)'
+        default: 'python'
+        type: string
+      go-version:
+        description: 'Go version to use'
+        default: '1.24.x'
+        type: string
+      tag-suffix:
+        description: 'Tag suffix for the built image'
+        required: true
+        type: string
+      runs-on:
+        description: 'Runner to use'
+        default: 'macOS-14'
+        type: string
+    secrets:
+      dockerUsername:
+        required: false
+      dockerPassword:
+        required: false
+      quayUsername:
+        required: true
+      quayPassword:
+        required: true
+
+jobs:
+  darwin-backend-build:
+    runs-on: ${{ inputs.runs-on }}
+    strategy:
+      matrix:
+        go-version: ['${{ inputs.go-version }}']
+    steps:
+      - name: Clone
+        uses: actions/checkout@v6
+        with:
+          submodules: true
+
+      - name: Setup Go ${{ matrix.go-version }}
+        uses: actions/setup-go@v5
+        with:
+          go-version: ${{ matrix.go-version }}
+          cache: false
+
+      # You can test your matrix by printing the current Go version
+      - name: Display Go version
+        run: go version
+
+      - name: Dependencies
+        run: |
+          brew install protobuf grpc make protoc-gen-go protoc-gen-go-grpc libomp llvm
+
+      - name: Build ${{ inputs.backend }}-darwin
+        run: |
+          make protogen-go
+          BACKEND=${{ inputs.backend }} BUILD_TYPE=${{ inputs.build-type }} USE_PIP=${{ inputs.use-pip }} make build-darwin-${{ inputs.lang }}-backend
+
+      - name: Upload ${{ inputs.backend }}.tar
+        uses: actions/upload-artifact@v7
+        with:
+          name: ${{ inputs.backend }}-tar
+          path: backend-images/${{ inputs.backend }}.tar
+
+  darwin-backend-publish:
+    needs: darwin-backend-build
+    if: github.event_name != 'pull_request'
+    runs-on: ubuntu-latest
+    steps:
+      - name: Download ${{ inputs.backend }}.tar
+        uses: actions/download-artifact@v8
+        with:
+          name: ${{ inputs.backend }}-tar
+          path: .
+
+      - name: Install crane
+        run: |
+          curl -L https://github.com/google/go-containerregistry/releases/latest/download/go-containerregistry_Linux_x86_64.tar.gz | tar -xz
+          sudo mv crane /usr/local/bin/
+
+      - name: Log in to DockerHub
+        run: |
+          echo "${{ secrets.dockerPassword }}" | crane auth login docker.io -u "${{ secrets.dockerUsername }}" --password-stdin
+
+      - name: Log in to quay.io
+        run: |
+          echo "${{ secrets.quayPassword }}" | crane auth login quay.io -u "${{ secrets.quayUsername }}" --password-stdin
+
+      - name: Docker meta
+        id: meta
+        uses: docker/metadata-action@v6
+        with:
+          images: |
+            localai/localai-backends
+          tags: |
+            type=ref,event=branch
+            type=semver,pattern={{raw}}
+            type=sha
+          flavor: |
+            latest=auto
+            suffix=${{ inputs.tag-suffix }},onlatest=true
+
+      - name: Docker meta
+        id: quaymeta
+        uses: docker/metadata-action@v6
+        with:
+          images: |
+            quay.io/go-skynet/local-ai-backends
+          tags: |
+            type=ref,event=branch
+            type=semver,pattern={{raw}}
+            type=sha
+          flavor: |
+            latest=auto
+            suffix=${{ inputs.tag-suffix }},onlatest=true
+
+      - name: Push Docker image (DockerHub)
+        run: |
+          for tag in $(echo "${{ steps.meta.outputs.tags }}" | tr ',' '\n'); do
+            crane push ${{ inputs.backend }}.tar $tag
+          done
+
+      - name: Push Docker image (Quay)
+        run: |
+          for tag in $(echo "${{ steps.quaymeta.outputs.tags }}" | tr ',' '\n'); do
+            crane push ${{ inputs.backend }}.tar $tag
+          done

.github/workflows/backend_pr.yml

@@ -0,0 +1,79 @@
+name: 'build backend container images (PR-filtered)'
+
+on:
+  pull_request:
+
+concurrency:
+  group: ci-backends-pr-${{ github.head_ref || github.ref }}-${{ github.repository }}
+  cancel-in-progress: true
+
+jobs:
+  generate-matrix:
+    runs-on: ubuntu-latest
+    outputs:
+      matrix: ${{ steps.set-matrix.outputs.matrix }}
+      matrix-darwin: ${{ steps.set-matrix.outputs.matrix-darwin }}
+      has-backends: ${{ steps.set-matrix.outputs.has-backends }}
+      has-backends-darwin: ${{ steps.set-matrix.outputs.has-backends-darwin }}
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v6
+
+      - name: Setup Bun
+        uses: oven-sh/setup-bun@v2
+
+      - name: Install dependencies
+        run: |
+          bun add js-yaml
+          bun add @octokit/core
+
+      # filters the matrix in backend.yml
+      - name: Filter matrix for changed backends
+        id: set-matrix
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          GITHUB_EVENT_PATH: ${{ github.event_path }}
+        run: bun run scripts/changed-backends.js
+
+  backend-jobs:
+    needs: generate-matrix
+    uses: ./.github/workflows/backend_build.yml
+    if: needs.generate-matrix.outputs.has-backends == 'true'
+    with:
+      tag-latest: ${{ matrix.tag-latest }}
+      tag-suffix: ${{ matrix.tag-suffix }}
+      build-type: ${{ matrix.build-type }}
+      cuda-major-version: ${{ matrix.cuda-major-version }}
+      cuda-minor-version: ${{ matrix.cuda-minor-version }}
+      platforms: ${{ matrix.platforms }}
+      runs-on: ${{ matrix.runs-on }}
+      base-image: ${{ matrix.base-image }}
+      backend: ${{ matrix.backend }}
+      dockerfile: ${{ matrix.dockerfile }}
+      skip-drivers: ${{ matrix.skip-drivers }}
+      context: ${{ matrix.context }}
+      ubuntu-version: ${{ matrix.ubuntu-version }}
+    secrets:
+      quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
+      quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
+    strategy:
+      fail-fast: true
+      matrix: ${{ fromJson(needs.generate-matrix.outputs.matrix) }}
+  backend-jobs-darwin:
+    needs: generate-matrix
+    uses: ./.github/workflows/backend_build_darwin.yml
+    if: needs.generate-matrix.outputs.has-backends-darwin == 'true'
+    with:
+      backend: ${{ matrix.backend }}
+      build-type: ${{ matrix.build-type }}
+      go-version: "1.24.x"
+      tag-suffix: ${{ matrix.tag-suffix }}
+      lang: ${{ matrix.lang || 'python' }}
+      use-pip: ${{ matrix.backend == 'diffusers' }}
+      runs-on: "macos-latest"
+    secrets:
+      quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
+      quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
+    strategy:
+      fail-fast: true
+      matrix: ${{ fromJson(needs.generate-matrix.outputs.matrix-darwin) }}

.github/workflows/build-test.yaml

@@ -11,13 +11,57 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Checkout
-        uses: actions/checkout@v4
+        uses: actions/checkout@v6
         with:
           fetch-depth: 0
       - name: Set up Go
         uses: actions/setup-go@v5
         with:
-          go-version: 1.23
+          go-version: 1.25
       - name: Run GoReleaser
         run: |
           make dev-dist
+  launcher-build-darwin:
+    runs-on: macos-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v6
+        with:
+          fetch-depth: 0
+      - name: Set up Go
+        uses: actions/setup-go@v5
+        with:
+          go-version: 1.25
+      - name: Build launcher for macOS ARM64
+        run: |
+          make build-launcher-darwin
+          ls -liah dist
+      - name: Upload macOS launcher artifacts
+        uses: actions/upload-artifact@v7
+        with:
+          name: launcher-macos
+          path: dist/
+          retention-days: 30
+      
+  launcher-build-linux:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v6
+        with:
+          fetch-depth: 0
+      - name: Set up Go
+        uses: actions/setup-go@v5
+        with:
+          go-version: 1.25
+      - name: Build launcher for Linux
+        run: |
+          sudo apt-get update
+          sudo apt-get install golang gcc libgl1-mesa-dev xorg-dev libxkbcommon-dev
+          make build-launcher-linux
+      - name: Upload Linux launcher artifacts
+        uses: actions/upload-artifact@v7
+        with:
+          name: launcher-linux
+          path: local-ai-launcher-linux.tar.xz
+          retention-days: 30

.github/workflows/bump-inference-defaults.yml

@@ -0,0 +1,48 @@
+name: Bump inference defaults
+
+on:
+  schedule:
+    # Run daily at 06:00 UTC
+    - cron: '0 6 * * *'
+  workflow_dispatch: # Allow manual trigger
+
+permissions:
+  contents: write
+  pull-requests: write
+
+jobs:
+  bump:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v6
+
+      - uses: actions/setup-go@v5
+        with:
+          go-version-file: go.mod
+
+      - name: Re-fetch inference defaults
+        run: make generate-force
+
+      - name: Check for changes
+        id: diff
+        run: |
+          if git diff --quiet core/config/inference_defaults.json; then
+            echo "changed=false" >> "$GITHUB_OUTPUT"
+          else
+            echo "changed=true" >> "$GITHUB_OUTPUT"
+          fi
+
+      - name: Create Pull Request
+        if: steps.diff.outputs.changed == 'true'
+        uses: peter-evans/create-pull-request@v8
+        with:
+          commit-message: "chore: bump inference defaults from unsloth"
+          title: "chore: bump inference defaults from unsloth"
+          body: |
+            Auto-generated update of `core/config/inference_defaults.json` from
+            [unsloth's inference_defaults.json](https://github.com/unslothai/unsloth/blob/main/studio/backend/assets/configs/inference_defaults.json).
+
+            This PR was created automatically by the `bump-inference-defaults` workflow.
+          branch: chore/bump-inference-defaults
+          delete-branch: true
+          labels: automated

.github/workflows/bump_deps.yaml

@@ -1,10 +1,11 @@
-name: Bump dependencies
+name: Bump Backend dependencies
 on:
   schedule:
     - cron: 0 20 * * *
   workflow_dispatch:
 jobs:
-  bump:
+  bump-backends:
+    if: github.repository == 'mudler/LocalAI'
     strategy:
       fail-fast: false
       matrix:
@@ -13,14 +14,18 @@ jobs:
             variable: "LLAMA_VERSION"
             branch: "master"
             file: "backend/cpp/llama-cpp/Makefile"
+          - repository: "ikawrakow/ik_llama.cpp"
+            variable: "IK_LLAMA_VERSION"
+            branch: "main"
+            file: "backend/cpp/ik-llama-cpp/Makefile"
+          - repository: "TheTom/llama-cpp-turboquant"
+            variable: "TURBOQUANT_VERSION"
+            branch: "feature/turboquant-kv-cache"
+            file: "backend/cpp/turboquant/Makefile"
           - repository: "ggml-org/whisper.cpp"
             variable: "WHISPER_CPP_VERSION"
             branch: "master"
             file: "backend/go/whisper/Makefile"
-          - repository: "PABannier/bark.cpp"
-            variable: "BARKCPP_VERSION"
-            branch: "main"
-            file: "Makefile"
           - repository: "leejet/stable-diffusion.cpp"
             variable: "STABLEDIFFUSION_GGML_VERSION"
             branch: "master"
@@ -29,9 +34,25 @@ jobs:
             variable: "PIPER_VERSION"
             branch: "master"
             file: "backend/go/piper/Makefile"
+          - repository: "antirez/voxtral.c"
+            variable: "VOXTRAL_VERSION"
+            branch: "main"
+            file: "backend/go/voxtral/Makefile"
+          - repository: "ace-step/acestep.cpp"
+            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"
+          - repository: "predict-woo/qwen3-tts.cpp"
+            variable: "QWEN3TTS_CPP_VERSION"
+            branch: "main"
+            file: "backend/go/qwen3-tts-cpp/Makefile"
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v6
       - name: Bump dependencies 🔧
         id: bump
         run: |
@@ -49,7 +70,7 @@ jobs:
           rm -rfv ${{ matrix.variable }}_message.txt
           rm -rfv ${{ matrix.variable }}_commit.txt
       - name: Create Pull Request
-        uses: peter-evans/create-pull-request@v7
+        uses: peter-evans/create-pull-request@v8
         with:
           token: ${{ secrets.UPDATE_BOT_TOKEN }}
           push-to-fork: ci-forks/LocalAI

.github/workflows/bump_docs.yaml

@@ -1,10 +1,11 @@
-name: Bump dependencies
+name: Bump Documentation
 on:
   schedule:
     - cron: 0 20 * * *
   workflow_dispatch:
 jobs:
-  bump:
+  bump-docs:
+    if: github.repository == 'mudler/LocalAI'
     strategy:
       fail-fast: false
       matrix:
@@ -12,12 +13,12 @@ jobs:
           - repository: "mudler/LocalAI"
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v6
       - name: Bump dependencies 🔧
         run: |
           bash .github/bump_docs.sh ${{ matrix.repository }}
       - name: Create Pull Request
-        uses: peter-evans/create-pull-request@v7
+        uses: peter-evans/create-pull-request@v8
         with:
           token: ${{ secrets.UPDATE_BOT_TOKEN }}
           push-to-fork: ci-forks/LocalAI

.github/workflows/checksum_checker.yaml

@@ -5,6 +5,7 @@ on:
   workflow_dispatch:
 jobs:
   checksum_check:
+    if: github.repository == 'mudler/LocalAI'
     runs-on: ubuntu-latest
     steps:
       - name: Force Install GIT latest
@@ -15,7 +16,7 @@ jobs:
           && sudo add-apt-repository -y ppa:git-core/ppa \
           && sudo apt-get update \
           && sudo apt-get install -y git
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v6
       - name: Install dependencies
         run: |
           sudo apt-get update
@@ -35,7 +36,7 @@ jobs:
           sudo chmod 777 /hf_cache
           bash .github/checksum_checker.sh gallery/index.yaml
       - name: Create Pull Request
-        uses: peter-evans/create-pull-request@v7
+        uses: peter-evans/create-pull-request@v8
         with:
           token: ${{ secrets.UPDATE_BOT_TOKEN }}
           push-to-fork: ci-forks/LocalAI

.github/workflows/deploy-explorer.yaml

@@ -12,10 +12,11 @@ concurrency:
 
 jobs:
   build-linux:
+    if: github.repository == 'mudler/LocalAI'
     runs-on: ubuntu-latest
     steps:
       - name: Clone
-        uses: actions/checkout@v4
+        uses: actions/checkout@v6
         with:
           submodules: true
       - uses: actions/setup-go@v5
@@ -33,7 +34,7 @@ jobs:
         run: |
           CGO_ENABLED=0 make build
       - name: rm
-        uses: appleboy/ssh-action@v1.2.2
+        uses: appleboy/ssh-action@v1.2.5
         with:
             host: ${{ secrets.EXPLORER_SSH_HOST }}
             username: ${{ secrets.EXPLORER_SSH_USERNAME }}
@@ -53,7 +54,7 @@ jobs:
             rm: true
             target: ./local-ai
       - name: restarting
-        uses: appleboy/ssh-action@v1.2.2
+        uses: appleboy/ssh-action@v1.2.5
         with:
             host: ${{ secrets.EXPLORER_SSH_HOST }}
             username: ${{ secrets.EXPLORER_SSH_USERNAME }}

.github/workflows/disabled/dependabot_auto.yml

@@ -9,18 +9,18 @@ permissions:
 
 jobs:
   dependabot:
+    if: github.repository == 'mudler/LocalAI' && github.actor == 'dependabot[bot]'
     runs-on: ubuntu-latest
-    if: ${{ github.actor == 'dependabot[bot]' }}
     steps:
       - name: Dependabot metadata
         id: metadata
-        uses: dependabot/fetch-metadata@v2.4.0
+        uses: dependabot/fetch-metadata@v2.5.0
         with:
           github-token: "${{ secrets.GITHUB_TOKEN }}"
           skip-commit-verification: true
 
       - name: Checkout repository
-        uses: actions/checkout@v4
+        uses: actions/checkout@v6
 
       - name: Approve a PR if not already approved
         run: |

.github/workflows/disabled/labeler.yml

@@ -9,4 +9,4 @@ jobs:
       pull-requests: write
     runs-on: ubuntu-latest
     steps:
-    - uses: actions/labeler@v5
+    - uses: actions/labeler@v6

.github/workflows/disabled/localaibot_automerge.yml

@@ -6,14 +6,15 @@ permissions:
   contents: write
   pull-requests: write
   packages: read
-
+  issues: write # for Homebrew/actions/post-comment
+  actions: write # to dispatch publish workflow
 jobs:
   dependabot:
+    if: github.repository == 'mudler/LocalAI' && github.actor == 'localai-bot' && contains(github.event.pull_request.title, 'chore:')
     runs-on: ubuntu-latest
-    if: ${{ github.actor == 'localai-bot' }}
     steps:
       - name: Checkout repository
-        uses: actions/checkout@v4
+        uses: actions/checkout@v6
 
       - name: Approve a PR if not already approved
         run: |

.github/workflows/disabled/notify-models.yaml

@@ -1,22 +1,27 @@
 name: Notifications for new models
 on:
-  pull_request:
+  pull_request_target:
      types:
        - closed
 
+permissions:
+  contents: read
+  pull-requests: read
+
 jobs:
   notify-discord:
-    if: ${{ (github.event.pull_request.merged == true) && (contains(github.event.pull_request.labels.*.name, 'area/ai-model')) }}
+    if: github.repository == 'mudler/LocalAI' && (github.event.pull_request.merged == true) && (contains(github.event.pull_request.labels.*.name, 'area/ai-model'))
     env:
-        MODEL_NAME: gemma-3-12b-it
+        MODEL_NAME: gemma-3-12b-it-qat
     runs-on: ubuntu-latest
     steps:
-    - uses: actions/checkout@v4
+    - uses: actions/checkout@v6
       with:
         fetch-depth: 0 # needed to checkout all branches for this Action to work
+        ref: ${{ github.event.pull_request.head.sha }} # Checkout the PR head to get the actual changes
     - uses: mudler/localai-github-action@v1
       with:
-        model: 'gemma-3-12b-it' # Any from models.localai.io, or from huggingface.com with: "huggingface://<repository>/file"
+        model: 'gemma-3-12b-it-qat' # Any from models.localai.io, or from huggingface.com with: "huggingface://<repository>/file"
         # Check the PR diff using the current branch and the base branch of the PR
     - uses: GrantBirki/git-diff-action@v2.8.1
       id: git-diff-action
@@ -79,20 +84,21 @@ jobs:
         args: ${{ steps.summarize.outputs.message }}
     - name: Setup tmate session if fails
       if: ${{ failure() }}
-      uses: mxschmitt/action-tmate@v3.22
+      uses: mxschmitt/action-tmate@v3.23
       with:
         detached: true
         connect-timeout-seconds: 180
         limit-access-to-actor: true
   notify-twitter:
-    if: ${{ (github.event.pull_request.merged == true) && (contains(github.event.pull_request.labels.*.name, 'area/ai-model')) }}
+    if: github.repository == 'mudler/LocalAI' && (github.event.pull_request.merged == true) && (contains(github.event.pull_request.labels.*.name, 'area/ai-model'))
     env:
-        MODEL_NAME: gemma-3-12b-it
+        MODEL_NAME: gemma-3-12b-it-qat
     runs-on: ubuntu-latest
     steps:
-    - uses: actions/checkout@v4
+    - uses: actions/checkout@v6
       with:
         fetch-depth: 0 # needed to checkout all branches for this Action to work
+        ref: ${{ github.event.pull_request.head.sha }} # Checkout the PR head to get the actual changes
     - name: Start LocalAI
       run: |
         echo "Starting LocalAI..."
@@ -161,7 +167,7 @@ jobs:
         TWITTER_ACCESS_TOKEN_SECRET: ${{ secrets.TWITTER_ACCESS_TOKEN_SECRET }}
     - name: Setup tmate session if fails
       if: ${{ failure() }}
-      uses: mxschmitt/action-tmate@v3.22
+      uses: mxschmitt/action-tmate@v3.23
       with:
         detached: true
         connect-timeout-seconds: 180

.github/workflows/gallery-agent.yaml

@@ -0,0 +1,197 @@
+name: Gallery Agent
+on:
+
+  schedule:
+    - cron: '0 */3 * * *'  # Run every 4 hours
+  workflow_dispatch:
+    inputs:
+      search_term:
+        description: 'Search term for models'
+        required: false
+        default: 'GGUF'
+        type: string
+      limit:
+        description: 'Maximum number of models to process'
+        required: false
+        default: '15'
+        type: string
+      quantization:
+        description: 'Preferred quantization format'
+        required: false
+        default: 'Q4_K_M'
+        type: string
+      max_models:
+        description: 'Maximum number of models to add to the gallery'
+        required: false
+        default: '1'
+        type: string
+jobs:
+  gallery-agent:
+    if: github.repository == 'mudler/LocalAI'
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v6
+        with:
+          token: ${{ secrets.GITHUB_TOKEN }}
+
+      - name: Set up Go
+        uses: actions/setup-go@v5
+        with:
+          go-version: '1.21'
+      - name: Proto Dependencies
+        run: |
+          # Install protoc
+          curl -L -s https://github.com/protocolbuffers/protobuf/releases/download/v26.1/protoc-26.1-linux-x86_64.zip -o protoc.zip && \
+          unzip -j -d /usr/local/bin protoc.zip bin/protoc && \
+          rm protoc.zip
+          go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.2
+          go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@1958fcbe2ca8bd93af633f11e97d44e567e945af
+          PATH="$PATH:$HOME/go/bin" make protogen-go
+      - name: Process gallery-agent PR commands
+        env:
+          GH_TOKEN: ${{ secrets.UPDATE_BOT_TOKEN }}
+          REPO: ${{ github.repository }}
+          SEARCH: 'gallery agent in:title'
+        run: |
+          # Walk open gallery-agent PRs and act on maintainer comments:
+          #   /gallery-agent blacklist → label `gallery-agent/blacklisted` + close (never repropose)
+          #   /gallery-agent recreate  → close without label (next run may repropose)
+          # Only comments from OWNER / MEMBER / COLLABORATOR are honored so
+          # random users can't drive the bot.
+          gh label create gallery-agent/blacklisted \
+            --repo "$REPO" --color ededed \
+            --description "gallery-agent must not repropose this model" 2>/dev/null || true
+
+          prs=$(gh pr list --repo "$REPO" --state open --search "$SEARCH" --json number --jq '.[].number')
+          for pr in $prs; do
+            cmds=$(gh pr view "$pr" --repo "$REPO" --json comments \
+              --jq '.comments[] | select(.authorAssociation=="OWNER" or .authorAssociation=="MEMBER" or .authorAssociation=="COLLABORATOR") | .body')
+            if echo "$cmds" | grep -qE '(^|[[:space:]])/gallery-agent[[:space:]]+blacklist([[:space:]]|$)'; then
+              echo "PR #$pr: blacklist command found"
+              gh pr edit "$pr" --repo "$REPO" --add-label gallery-agent/blacklisted || true
+              gh pr close "$pr" --repo "$REPO" --comment "Blacklisted via \`/gallery-agent blacklist\`. This model will not be reproposed." || true
+            elif echo "$cmds" | grep -qE '(^|[[:space:]])/gallery-agent[[:space:]]+recreate([[:space:]]|$)'; then
+              echo "PR #$pr: recreate command found"
+              gh pr close "$pr" --repo "$REPO" --comment "Closed via \`/gallery-agent recreate\`. The next scheduled run will propose this model again." || true
+            fi
+          done
+
+      - name: Collect skip URLs for the gallery agent
+        id: open_prs
+        env:
+          GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          REPO: ${{ github.repository }}
+          SEARCH: 'gallery agent in:title'
+        run: |
+          # Skip set =
+          #   URLs from any open gallery-agent PR (avoid duplicate PRs for the same model while one is pending)
+          # + URLs from closed PRs carrying the `gallery-agent/blacklisted` label (hard blacklist)
+          # Plain-closed PRs without the label are ignored — closing a PR is
+          # not by itself a "never propose again" signal; maintainers must
+          # opt in via the /gallery-agent blacklist comment command.
+          urls_open=$(gh pr list --repo "$REPO" --state open --search "$SEARCH" \
+            --json body --jq '[.[].body] | join("\n")' \
+            | grep -oE 'https://huggingface\.co/[^ )]+' || true)
+          urls_blacklist=$(gh pr list --repo "$REPO" --state closed --search "$SEARCH" \
+            --label gallery-agent/blacklisted \
+            --json body --jq '[.[].body] | join("\n")' \
+            | grep -oE 'https://huggingface\.co/[^ )]+' || true)
+          urls=$(printf '%s\n%s\n' "$urls_open" "$urls_blacklist" | sort -u | sed '/^$/d')
+          echo "Skip URLs:"
+          echo "$urls"
+          {
+            echo "urls<<EOF"
+            echo "$urls"
+            echo "EOF"
+          } >> "$GITHUB_OUTPUT"
+
+      - name: Run gallery agent
+        env:
+          SEARCH_TERM: ${{ github.event.inputs.search_term || 'GGUF' }}
+          LIMIT: ${{ github.event.inputs.limit || '15' }}
+          QUANTIZATION: ${{ github.event.inputs.quantization || 'Q4_K_M' }}
+          MAX_MODELS: ${{ github.event.inputs.max_models || '1' }}
+          EXTRA_SKIP_URLS: ${{ steps.open_prs.outputs.urls }}
+        run: |
+          export GALLERY_INDEX_PATH=$PWD/gallery/index.yaml
+          go run ./.github/gallery-agent
+
+      - name: Check for changes
+        id: check_changes
+        run: |
+          if git diff --quiet gallery/index.yaml; then
+            echo "changes=false" >> $GITHUB_OUTPUT
+            echo "No changes detected in gallery/index.yaml"
+          else
+            echo "changes=true" >> $GITHUB_OUTPUT
+            echo "Changes detected in gallery/index.yaml"
+            git diff gallery/index.yaml
+          fi
+
+      - name: Read gallery agent summary
+        id: read_summary
+        if: steps.check_changes.outputs.changes == 'true'
+        run: |
+          if [ -f "./gallery-agent-summary.json" ]; then
+            echo "summary_exists=true" >> $GITHUB_OUTPUT
+            # Extract summary data using jq
+            echo "search_term=$(jq -r '.search_term' ./gallery-agent-summary.json)" >> $GITHUB_OUTPUT
+            echo "total_found=$(jq -r '.total_found' ./gallery-agent-summary.json)" >> $GITHUB_OUTPUT
+            echo "models_added=$(jq -r '.models_added' ./gallery-agent-summary.json)" >> $GITHUB_OUTPUT
+            echo "quantization=$(jq -r '.quantization' ./gallery-agent-summary.json)" >> $GITHUB_OUTPUT
+            echo "processing_time=$(jq -r '.processing_time' ./gallery-agent-summary.json)" >> $GITHUB_OUTPUT
+            
+            # Create a formatted list of added models with URLs
+            added_models=$(jq -r 'range(0; .added_model_ids | length) as $i | "- [\(.added_model_ids[$i])](\(.added_model_urls[$i]))"' ./gallery-agent-summary.json | tr '\n' '\n')
+            echo "added_models<<EOF" >> $GITHUB_OUTPUT
+            echo "$added_models" >> $GITHUB_OUTPUT
+            echo "EOF" >> $GITHUB_OUTPUT
+            rm -f ./gallery-agent-summary.json
+          else
+            echo "summary_exists=false" >> $GITHUB_OUTPUT
+          fi
+
+      - name: Create Pull Request
+        if: steps.check_changes.outputs.changes == 'true'
+        uses: peter-evans/create-pull-request@v8
+        with:
+          token: ${{ secrets.UPDATE_BOT_TOKEN }}
+          push-to-fork: ci-forks/LocalAI
+          commit-message: 'chore(model gallery): :robot: add new models via gallery agent'
+          title: 'chore(model gallery): :robot: add ${{ steps.read_summary.outputs.models_added || 0 }} new models via gallery agent'
+          # Branch has to be unique so PRs are not overriding each other
+          branch-suffix: timestamp
+          body: |
+            This PR was automatically created by the gallery agent workflow.
+            
+            **Summary:**
+            - **Search Term:** ${{ steps.read_summary.outputs.search_term || github.event.inputs.search_term || 'GGUF' }}
+            - **Models Found:** ${{ steps.read_summary.outputs.total_found || 'N/A' }}
+            - **Models Added:** ${{ steps.read_summary.outputs.models_added || '0' }}
+            - **Quantization:** ${{ steps.read_summary.outputs.quantization || github.event.inputs.quantization || 'Q4_K_M' }}
+            - **Processing Time:** ${{ steps.read_summary.outputs.processing_time || 'N/A' }}
+            
+            **Added Models:**
+            ${{ steps.read_summary.outputs.added_models || '- No models added' }}
+
+            ### Bot commands
+
+            Maintainers (owner / member / collaborator) can control this PR
+            by leaving a comment with one of:
+
+            - `/gallery-agent recreate` — close this PR; the next scheduled
+              run will propose this model again (useful if the entry needs
+              to be regenerated with fresh metadata).
+            - `/gallery-agent blacklist` — close this PR and permanently
+              prevent the gallery agent from ever reproposing this model.
+
+            Plain "Close" (without a command) is treated as a no-op: the
+            model may be reproposed by a future run.
+
+            **Workflow Details:**
+            - Triggered by: `${{ github.event_name }}`
+            - Run ID: `${{ github.run_id }}`
+            - Commit: `${{ github.sha }}`
+          signoff: true
+          delete-branch: true

.github/workflows/generate_grpc_cache.yaml

@@ -13,10 +13,11 @@ concurrency:
 
 jobs:
   generate_caches:
+    if: github.repository == 'mudler/LocalAI'
     strategy:
       matrix:
         include:
-          - grpc-base-image: ubuntu:22.04
+          - grpc-base-image: ubuntu:24.04
             runs-on: 'ubuntu-latest'
             platforms: 'linux/amd64,linux/arm64'
     runs-on: ${{matrix.runs-on}}
@@ -73,10 +74,10 @@ jobs:
         uses: docker/setup-buildx-action@master
 
       - name: Checkout
-        uses: actions/checkout@v4
+        uses: actions/checkout@v6
 
       - name: Cache GRPC
-        uses: docker/build-push-action@v6
+        uses: docker/build-push-action@v7
         with:
           builder: ${{ steps.buildx.outputs.name }}
           # The build-args MUST be an EXACT match between the image cache and other workflow steps that want to use that cache.

.github/workflows/generate_intel_image.yaml

@@ -12,11 +12,12 @@ concurrency:
 
 jobs:
   generate_caches:
+    if: github.repository == 'mudler/LocalAI'
     strategy:
       matrix:
         include:
-          - base-image: intel/oneapi-basekit:2025.2.0-0-devel-ubuntu22.04
-            runs-on: 'ubuntu-latest'
+          - base-image: intel/oneapi-basekit:2025.3.0-0-devel-ubuntu24.04
+            runs-on: 'arc-runner-set'
             platforms: 'linux/amd64'
     runs-on: ${{matrix.runs-on}}
     steps:
@@ -26,14 +27,14 @@ jobs:
           platforms: all
       - name: Login to DockerHub
         if: github.event_name != 'pull_request'
-        uses: docker/login-action@v3
+        uses: docker/login-action@v4
         with:
           username: ${{ secrets.DOCKERHUB_USERNAME }}
           password: ${{ secrets.DOCKERHUB_PASSWORD }}
 
       - name: Login to quay
         if: github.event_name != 'pull_request'
-        uses: docker/login-action@v3
+        uses: docker/login-action@v4
         with:
           registry: quay.io
           username: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
@@ -43,17 +44,17 @@ jobs:
         uses: docker/setup-buildx-action@master
 
       - name: Checkout
-        uses: actions/checkout@v4
+        uses: actions/checkout@v6
 
       - name: Cache Intel images
-        uses: docker/build-push-action@v6
+        uses: docker/build-push-action@v7
         with:
           builder: ${{ steps.buildx.outputs.name }}
           build-args: |
             BASE_IMAGE=${{ matrix.base-image }}
           context: .
           file: ./Dockerfile
-          tags: quay.io/go-skynet/intel-oneapi-base:latest
+          tags: quay.io/go-skynet/intel-oneapi-base:24.04
           push: true
           target: intel
           platforms: ${{ matrix.platforms }}

.github/workflows/gh-pages.yml

@@ -0,0 +1,75 @@
+name: Deploy docs to GitHub Pages
+
+on:
+  push:
+    branches:
+      - master
+    paths:
+      - 'docs/**'
+      - 'gallery/**'
+      - 'images/**'
+      - '.github/ci/modelslist.go'
+      - '.github/workflows/gh-pages.yml'
+  workflow_dispatch:
+
+permissions:
+  contents: read
+  pages: write
+  id-token: write
+
+concurrency:
+  group: pages
+  cancel-in-progress: false
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    env:
+      HUGO_VERSION: "0.146.3"
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v6
+        with:
+          fetch-depth: 0  # needed for enableGitInfo
+          submodules: true
+
+      - name: Setup Go
+        uses: actions/setup-go@v5
+        with:
+          go-version: '1.22'
+          cache: false
+
+      - name: Setup Hugo
+        uses: peaceiris/actions-hugo@v3
+        with:
+          hugo-version: ${{ env.HUGO_VERSION }}
+          extended: true
+
+      - name: Setup Pages
+        id: pages
+        uses: actions/configure-pages@v6
+
+      - name: Generate gallery
+        run: go run ./.github/ci/modelslist.go ./gallery/index.yaml > docs/static/gallery.html
+
+      - name: Build site
+        working-directory: docs
+        run: |
+          mkdir -p layouts/_default
+          hugo --minify --baseURL "${{ steps.pages.outputs.base_url }}/"
+
+      - name: Upload artifact
+        uses: actions/upload-pages-artifact@v5
+        with:
+          path: docs/public
+
+  deploy:
+    environment:
+      name: github-pages
+      url: ${{ steps.deployment.outputs.page_url }}
+    runs-on: ubuntu-latest
+    needs: build
+    steps:
+      - name: Deploy to GitHub Pages
+        id: deployment
+        uses: actions/deploy-pages@v5

.github/workflows/image-pr.yml

@@ -1,68 +1,95 @@
 ---
-name: 'build container images tests'
-
-on:
-  pull_request:
-
-concurrency:
-  group: ci-${{ github.head_ref || github.ref }}-${{ github.repository }}
-  cancel-in-progress: true
-
-jobs:
-  image-build:
-    uses: ./.github/workflows/image_build.yml
-    with:
-      tag-latest: ${{ matrix.tag-latest }}
-      tag-suffix: ${{ matrix.tag-suffix }}
-      build-type: ${{ matrix.build-type }}
-      cuda-major-version: ${{ matrix.cuda-major-version }}
-      cuda-minor-version: ${{ matrix.cuda-minor-version }}
-      platforms: ${{ matrix.platforms }}
-      runs-on: ${{ matrix.runs-on }}
-      base-image: ${{ matrix.base-image }}
-      grpc-base-image: ${{ matrix.grpc-base-image }}
-      makeflags: ${{ matrix.makeflags }}
-    secrets:
-      dockerUsername: ${{ secrets.DOCKERHUB_USERNAME }}
-      dockerPassword: ${{ secrets.DOCKERHUB_PASSWORD }}
-      quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
-      quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
-    strategy:
-      # Pushing with all jobs in parallel
-      # eats the bandwidth of all the nodes
-      max-parallel: ${{ github.event_name != 'pull_request' && 4 || 8 }}
-      fail-fast: false
-      matrix:
-        include:
-          - build-type: 'cublas'
-            cuda-major-version: "12"
-            cuda-minor-version: "0"
-            platforms: 'linux/amd64'
-            tag-latest: 'false'
-            tag-suffix: '-gpu-nvidia-cuda-12'
-            runs-on: 'ubuntu-latest'
-            base-image: "ubuntu:22.04"
-            makeflags: "--jobs=3 --output-sync=target"
-          - build-type: 'hipblas'
-            platforms: 'linux/amd64'
-            tag-latest: 'false'
-            tag-suffix: '-hipblas'
-            base-image: "rocm/dev-ubuntu-22.04:6.1"
-            grpc-base-image: "ubuntu:22.04"
-            runs-on: 'ubuntu-latest'
-            makeflags: "--jobs=3 --output-sync=target"
-          - build-type: 'sycl'
-            platforms: 'linux/amd64'
-            tag-latest: 'false'
-            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
-            grpc-base-image: "ubuntu:22.04"
-            tag-suffix: 'sycl'
-            runs-on: 'ubuntu-latest'
-            makeflags: "--jobs=3 --output-sync=target"
-          - build-type: 'vulkan'
-            platforms: 'linux/amd64'
-            tag-latest: 'false'
-            tag-suffix: '-vulkan-core'
-            runs-on: 'ubuntu-latest'
-            base-image: "ubuntu:22.04"
-            makeflags: "--jobs=4 --output-sync=target"
+  name: 'build container images tests'
+  
+  on:
+    pull_request:
+  
+  concurrency:
+    group: ci-${{ github.head_ref || github.ref }}-${{ github.repository }}
+    cancel-in-progress: true
+  
+  jobs:
+    image-build:
+      uses: ./.github/workflows/image_build.yml
+      with:
+        tag-latest: ${{ matrix.tag-latest }}
+        tag-suffix: ${{ matrix.tag-suffix }}
+        build-type: ${{ matrix.build-type }}
+        cuda-major-version: ${{ matrix.cuda-major-version }}
+        cuda-minor-version: ${{ matrix.cuda-minor-version }}
+        platforms: ${{ matrix.platforms }}
+        runs-on: ${{ matrix.runs-on }}
+        base-image: ${{ matrix.base-image }}
+        grpc-base-image: ${{ matrix.grpc-base-image }}
+        makeflags: ${{ matrix.makeflags }}
+        ubuntu-version: ${{ matrix.ubuntu-version }}
+      secrets:
+        dockerUsername: ${{ secrets.DOCKERHUB_USERNAME }}
+        dockerPassword: ${{ secrets.DOCKERHUB_PASSWORD }}
+        quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
+        quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
+      strategy:
+        # Pushing with all jobs in parallel
+        # eats the bandwidth of all the nodes
+        max-parallel: ${{ github.event_name != 'pull_request' && 4 || 8 }}
+        fail-fast: false
+        matrix:
+          include:
+            - build-type: 'cublas'
+              cuda-major-version: "12"
+              cuda-minor-version: "8"
+              platforms: 'linux/amd64'
+              tag-latest: 'false'
+              tag-suffix: '-gpu-nvidia-cuda-12'
+              runs-on: 'ubuntu-latest'
+              base-image: "ubuntu:24.04"
+              makeflags: "--jobs=3 --output-sync=target"
+              ubuntu-version: '2404'
+            - build-type: 'cublas'
+              cuda-major-version: "13"
+              cuda-minor-version: "0"
+              platforms: 'linux/amd64'
+              tag-latest: 'false'
+              tag-suffix: '-gpu-nvidia-cuda-13'
+              runs-on: 'ubuntu-latest'
+              base-image: "ubuntu:22.04"
+              makeflags: "--jobs=3 --output-sync=target"
+              ubuntu-version: '2404'
+            - build-type: 'hipblas'
+              platforms: 'linux/amd64'
+              tag-latest: 'false'
+              tag-suffix: '-hipblas'
+              base-image: "rocm/dev-ubuntu-24.04:7.2.1"
+              grpc-base-image: "ubuntu:24.04"
+              runs-on: 'ubuntu-latest'
+              makeflags: "--jobs=3 --output-sync=target"
+              ubuntu-version: '2404'
+            - build-type: 'sycl'
+              platforms: 'linux/amd64'
+              tag-latest: 'false'
+              base-image: "intel/oneapi-basekit:2025.3.0-0-devel-ubuntu24.04"
+              grpc-base-image: "ubuntu:24.04"
+              tag-suffix: 'sycl'
+              runs-on: 'ubuntu-latest'
+              makeflags: "--jobs=3 --output-sync=target"
+              ubuntu-version: '2404'
+            - build-type: 'vulkan'
+              platforms: 'linux/amd64,linux/arm64'
+              tag-latest: 'false'
+              tag-suffix: '-vulkan-core'
+              runs-on: 'ubuntu-latest'
+              base-image: "ubuntu:24.04"
+              makeflags: "--jobs=4 --output-sync=target"
+              ubuntu-version: '2404'
+            - build-type: 'cublas'
+              cuda-major-version: "13"
+              cuda-minor-version: "0"
+              platforms: 'linux/arm64'
+              tag-latest: 'false'
+              tag-suffix: '-nvidia-l4t-arm64-cuda-13'
+              base-image: "ubuntu:24.04"
+              runs-on: 'ubuntu-24.04-arm'
+              makeflags: "--jobs=4 --output-sync=target"
+              skip-drivers: 'false'
+              ubuntu-version: '2404'
+  

.github/workflows/image.yml

@@ -1,154 +1,181 @@
 ---
-name: 'build container images'
-
-on:
-  push:
-    branches:
-      - master
-    tags:
-      - '*'
-
-concurrency:
-  group: ci-${{ github.head_ref || github.ref }}-${{ github.repository }}
-  cancel-in-progress: true
-
-jobs:
-  hipblas-jobs:
-    uses: ./.github/workflows/image_build.yml
-    with:
-      tag-latest: ${{ matrix.tag-latest }}
-      tag-suffix: ${{ matrix.tag-suffix }}
-      build-type: ${{ matrix.build-type }}
-      cuda-major-version: ${{ matrix.cuda-major-version }}
-      cuda-minor-version: ${{ matrix.cuda-minor-version }}
-      platforms: ${{ matrix.platforms }}
-      runs-on: ${{ matrix.runs-on }}
-      base-image: ${{ matrix.base-image }}
-      grpc-base-image: ${{ matrix.grpc-base-image }}
-      aio: ${{ matrix.aio }}
-      makeflags: ${{ matrix.makeflags }}
-    secrets:
-      dockerUsername: ${{ secrets.DOCKERHUB_USERNAME }}
-      dockerPassword: ${{ secrets.DOCKERHUB_PASSWORD }}
-      quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
-      quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
-    strategy:
-      matrix:
-        include:
-          - build-type: 'hipblas'
-            platforms: 'linux/amd64'
-            tag-latest: 'auto'
-            tag-suffix: '-gpu-hipblas'
-            base-image: "rocm/dev-ubuntu-22.04:6.1"
-            grpc-base-image: "ubuntu:22.04"
-            runs-on: 'ubuntu-latest'
-            makeflags: "--jobs=3 --output-sync=target"
-            aio: "-aio-gpu-hipblas"
-
-  core-image-build:
-    uses: ./.github/workflows/image_build.yml
-    with:
-      tag-latest: ${{ matrix.tag-latest }}
-      tag-suffix: ${{ matrix.tag-suffix }}
-      build-type: ${{ matrix.build-type }}
-      cuda-major-version: ${{ matrix.cuda-major-version }}
-      cuda-minor-version: ${{ matrix.cuda-minor-version }}
-      platforms: ${{ matrix.platforms }}
-      runs-on: ${{ matrix.runs-on }}
-      aio: ${{ matrix.aio }}
-      base-image: ${{ matrix.base-image }}
-      grpc-base-image: ${{ matrix.grpc-base-image }}
-      makeflags: ${{ matrix.makeflags }}
-      skip-drivers: ${{ matrix.skip-drivers }}
-    secrets:
-      dockerUsername: ${{ secrets.DOCKERHUB_USERNAME }}
-      dockerPassword: ${{ secrets.DOCKERHUB_PASSWORD }}
-      quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
-      quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
-    strategy:
-      #max-parallel: ${{ github.event_name != 'pull_request' && 2 || 4 }}
-      matrix:
-        include:
-          - build-type: ''
-            platforms: 'linux/amd64,linux/arm64'
-            tag-latest: 'auto'
-            tag-suffix: ''
-            base-image: "ubuntu:22.04"
-            runs-on: 'ubuntu-latest'
-            aio: "-aio-cpu"
-            makeflags: "--jobs=4 --output-sync=target"
-            skip-drivers: 'false'
-          - build-type: 'cublas'
-            cuda-major-version: "11"
-            cuda-minor-version: "7"
-            platforms: 'linux/amd64'
-            tag-latest: 'auto'
-            tag-suffix: '-gpu-nvidia-cuda-11'
-            runs-on: 'ubuntu-latest'
-            base-image: "ubuntu:22.04"
-            makeflags: "--jobs=4 --output-sync=target"
-            skip-drivers: 'false'
-            aio: "-aio-gpu-nvidia-cuda-11"
-          - build-type: 'cublas'
-            cuda-major-version: "12"
-            cuda-minor-version: "0"
-            platforms: 'linux/amd64'
-            tag-latest: 'auto'
-            tag-suffix: '-gpu-nvidia-cuda-12'
-            runs-on: 'ubuntu-latest'
-            base-image: "ubuntu:22.04"
-            skip-drivers: 'false'
-            makeflags: "--jobs=4 --output-sync=target"
-            aio: "-aio-gpu-nvidia-cuda-12"
-          - build-type: 'vulkan'
-            platforms: 'linux/amd64'
-            tag-latest: 'auto'
-            tag-suffix: '-gpu-vulkan'
-            runs-on: 'ubuntu-latest'
-            base-image: "ubuntu:22.04"
-            skip-drivers: 'false'
-            makeflags: "--jobs=4 --output-sync=target"
-            aio: "-aio-gpu-vulkan"
-          - build-type: 'intel'
-            platforms: 'linux/amd64'
-            tag-latest: 'auto'
-            base-image: "quay.io/go-skynet/intel-oneapi-base:latest"
-            grpc-base-image: "ubuntu:22.04"
-            tag-suffix: '-gpu-intel'
-            runs-on: 'ubuntu-latest'
-            makeflags: "--jobs=3 --output-sync=target"
-            aio: "-aio-gpu-intel"
-
-  gh-runner:
-    uses: ./.github/workflows/image_build.yml
-    with:
-      tag-latest: ${{ matrix.tag-latest }}
-      tag-suffix: ${{ matrix.tag-suffix }}
-      build-type: ${{ matrix.build-type }}
-      cuda-major-version: ${{ matrix.cuda-major-version }}
-      cuda-minor-version: ${{ matrix.cuda-minor-version }}
-      platforms: ${{ matrix.platforms }}
-      runs-on: ${{ matrix.runs-on }}
-      aio: ${{ matrix.aio }}
-      base-image: ${{ matrix.base-image }}
-      grpc-base-image: ${{ matrix.grpc-base-image }}
-      makeflags: ${{ matrix.makeflags }}
-      skip-drivers: ${{ matrix.skip-drivers }}
-    secrets:
-      dockerUsername: ${{ secrets.DOCKERHUB_USERNAME }}
-      dockerPassword: ${{ secrets.DOCKERHUB_PASSWORD }}
-      quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
-      quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
-    strategy:
-      matrix:
-        include:
-          - build-type: 'cublas'
-            cuda-major-version: "12"
-            cuda-minor-version: "0"
-            platforms: 'linux/arm64'
-            tag-latest: 'auto'
-            tag-suffix: '-nvidia-l4t-arm64'
-            base-image: "nvcr.io/nvidia/l4t-jetpack:r36.4.0"
-            runs-on: 'ubuntu-24.04-arm'
-            makeflags: "--jobs=4 --output-sync=target"
-            skip-drivers: 'true'
+  name: 'build container images'
+  
+  on:
+    push:
+      branches:
+        - master
+      tags:
+        - '*'
+  
+  concurrency:
+    group: ci-${{ github.head_ref || github.ref }}-${{ github.repository }}
+    cancel-in-progress: true
+  
+  jobs:
+    hipblas-jobs:
+      if: github.repository == 'mudler/LocalAI'
+      uses: ./.github/workflows/image_build.yml
+      with:
+        tag-latest: ${{ matrix.tag-latest }}
+        tag-suffix: ${{ matrix.tag-suffix }}
+        build-type: ${{ matrix.build-type }}
+        cuda-major-version: ${{ matrix.cuda-major-version }}
+        cuda-minor-version: ${{ matrix.cuda-minor-version }}
+        platforms: ${{ matrix.platforms }}
+        runs-on: ${{ matrix.runs-on }}
+        base-image: ${{ matrix.base-image }}
+        grpc-base-image: ${{ matrix.grpc-base-image }}
+        makeflags: ${{ matrix.makeflags }}
+        ubuntu-version: ${{ matrix.ubuntu-version }}
+        ubuntu-codename: ${{ matrix.ubuntu-codename }}
+      secrets:
+        dockerUsername: ${{ secrets.DOCKERHUB_USERNAME }}
+        dockerPassword: ${{ secrets.DOCKERHUB_PASSWORD }}
+        quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
+        quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
+      strategy:
+        matrix:
+          include:
+            - build-type: 'hipblas'
+              platforms: 'linux/amd64'
+              tag-latest: 'auto'
+              tag-suffix: '-gpu-hipblas'
+              base-image: "rocm/dev-ubuntu-24.04:7.2.1"
+              grpc-base-image: "ubuntu:24.04"
+              runs-on: 'ubuntu-latest'
+              makeflags: "--jobs=3 --output-sync=target"
+              ubuntu-version: '2404'
+              ubuntu-codename: 'noble'
+  
+    core-image-build:
+      if: github.repository == 'mudler/LocalAI'
+      uses: ./.github/workflows/image_build.yml
+      with:
+        tag-latest: ${{ matrix.tag-latest }}
+        tag-suffix: ${{ matrix.tag-suffix }}
+        build-type: ${{ matrix.build-type }}
+        cuda-major-version: ${{ matrix.cuda-major-version }}
+        cuda-minor-version: ${{ matrix.cuda-minor-version }}
+        platforms: ${{ matrix.platforms }}
+        runs-on: ${{ matrix.runs-on }}
+        base-image: ${{ matrix.base-image }}
+        grpc-base-image: ${{ matrix.grpc-base-image }}
+        makeflags: ${{ matrix.makeflags }}
+        skip-drivers: ${{ matrix.skip-drivers }}
+        ubuntu-version: ${{ matrix.ubuntu-version }}
+        ubuntu-codename: ${{ matrix.ubuntu-codename }}
+      secrets:
+        dockerUsername: ${{ secrets.DOCKERHUB_USERNAME }}
+        dockerPassword: ${{ secrets.DOCKERHUB_PASSWORD }}
+        quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
+        quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
+      strategy:
+        #max-parallel: ${{ github.event_name != 'pull_request' && 2 || 4 }}
+        matrix:
+          include:
+            - build-type: ''
+              platforms: 'linux/amd64,linux/arm64'
+              tag-latest: 'auto'
+              tag-suffix: ''
+              base-image: "ubuntu:24.04"
+              runs-on: 'ubuntu-latest'
+              makeflags: "--jobs=4 --output-sync=target"
+              skip-drivers: 'false'
+              ubuntu-version: '2404'
+              ubuntu-codename: 'noble'
+            - build-type: 'cublas'
+              cuda-major-version: "12"
+              cuda-minor-version: "8"
+              platforms: 'linux/amd64'
+              tag-latest: 'auto'
+              tag-suffix: '-gpu-nvidia-cuda-12'
+              runs-on: 'ubuntu-latest'
+              base-image: "ubuntu:24.04"
+              skip-drivers: 'false'
+              makeflags: "--jobs=4 --output-sync=target"
+              ubuntu-version: '2404'
+              ubuntu-codename: 'noble'
+            - build-type: 'cublas'
+              cuda-major-version: "13"
+              cuda-minor-version: "0"
+              platforms: 'linux/amd64'
+              tag-latest: 'auto'
+              tag-suffix: '-gpu-nvidia-cuda-13'
+              runs-on: 'ubuntu-latest'
+              base-image: "ubuntu:22.04"
+              skip-drivers: 'false'
+              makeflags: "--jobs=4 --output-sync=target"
+              ubuntu-version: '2404'
+              ubuntu-codename: 'noble'
+            - build-type: 'vulkan'
+              platforms: 'linux/amd64,linux/arm64'
+              tag-latest: 'auto'
+              tag-suffix: '-gpu-vulkan'
+              runs-on: 'ubuntu-latest'
+              base-image: "ubuntu:24.04"
+              skip-drivers: 'false'
+              makeflags: "--jobs=4 --output-sync=target"
+              ubuntu-version: '2404'
+              ubuntu-codename: 'noble'
+            - build-type: 'intel'
+              platforms: 'linux/amd64'
+              tag-latest: 'auto'
+              base-image: "intel/oneapi-basekit:2025.3.0-0-devel-ubuntu24.04"
+              grpc-base-image: "ubuntu:24.04"
+              tag-suffix: '-gpu-intel'
+              runs-on: 'ubuntu-latest'
+              makeflags: "--jobs=3 --output-sync=target"
+              ubuntu-version: '2404'
+              ubuntu-codename: 'noble'
+  
+    gh-runner:
+      if: github.repository == 'mudler/LocalAI'
+      uses: ./.github/workflows/image_build.yml
+      with:
+        tag-latest: ${{ matrix.tag-latest }}
+        tag-suffix: ${{ matrix.tag-suffix }}
+        build-type: ${{ matrix.build-type }}
+        cuda-major-version: ${{ matrix.cuda-major-version }}
+        cuda-minor-version: ${{ matrix.cuda-minor-version }}
+        platforms: ${{ matrix.platforms }}
+        runs-on: ${{ matrix.runs-on }}
+        base-image: ${{ matrix.base-image }}
+        grpc-base-image: ${{ matrix.grpc-base-image }}
+        makeflags: ${{ matrix.makeflags }}
+        skip-drivers: ${{ matrix.skip-drivers }}
+        ubuntu-version: ${{ matrix.ubuntu-version }}
+        ubuntu-codename: ${{ matrix.ubuntu-codename }}
+      secrets:
+        dockerUsername: ${{ secrets.DOCKERHUB_USERNAME }}
+        dockerPassword: ${{ secrets.DOCKERHUB_PASSWORD }}
+        quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
+        quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}
+      strategy:
+        matrix:
+          include:
+            - build-type: 'cublas'
+              cuda-major-version: "12"
+              cuda-minor-version: "0"
+              platforms: 'linux/arm64'
+              tag-latest: 'auto'
+              tag-suffix: '-nvidia-l4t-arm64'
+              base-image: "nvcr.io/nvidia/l4t-jetpack:r36.4.0"
+              runs-on: 'ubuntu-24.04-arm'
+              makeflags: "--jobs=4 --output-sync=target"
+              skip-drivers: 'true'
+              ubuntu-version: "2204"
+              ubuntu-codename: 'jammy'
+            - build-type: 'cublas'
+              cuda-major-version: "13"
+              cuda-minor-version: "0"
+              platforms: 'linux/arm64'
+              tag-latest: 'auto'
+              tag-suffix: '-nvidia-l4t-arm64-cuda-13'
+              base-image: "ubuntu:24.04"
+              runs-on: 'ubuntu-24.04-arm'
+              makeflags: "--jobs=4 --output-sync=target"
+              skip-drivers: 'false'
+              ubuntu-version: '2404'
+              ubuntu-codename: 'noble'
+  

.github/workflows/image_build.yml

@@ -23,7 +23,7 @@ on:
         type: string
       cuda-minor-version:
         description: 'CUDA minor version'
-        default: "4"
+        default: "9"
         type: string
       platforms:
         description: 'Platforms'
@@ -51,10 +51,15 @@ on:
         required: false
         default: '--jobs=4 --output-sync=target'
         type: string
-      aio:
-        description: 'AIO Image Name'
+      ubuntu-version:
+        description: 'Ubuntu version'
         required: false
-        default: ''
+        default: '2204'
+        type: string
+      ubuntu-codename:
+        description: 'Ubuntu codename'
+        required: false
+        default: 'noble'
         type: string
     secrets:
       dockerUsername:
@@ -94,7 +99,7 @@ jobs:
           && sudo apt-get update \
           && sudo apt-get install -y git
       - name: Checkout
-        uses: actions/checkout@v4
+        uses: actions/checkout@v6
 
       - name: Release space from worker
         if: inputs.runs-on == 'ubuntu-latest'
@@ -141,7 +146,7 @@ jobs:
       - name: Docker meta
         id: meta
         if: github.event_name != 'pull_request'
-        uses: docker/metadata-action@v5
+        uses: docker/metadata-action@v6
         with:
           images: |
             quay.io/go-skynet/local-ai
@@ -156,7 +161,7 @@ jobs:
       - name: Docker meta for PR
         id: meta_pull_request
         if: github.event_name == 'pull_request'
-        uses: docker/metadata-action@v5
+        uses: docker/metadata-action@v6
         with:
           images: |
             quay.io/go-skynet/ci-tests
@@ -167,34 +172,6 @@ jobs:
           flavor: |
             latest=${{ inputs.tag-latest }}
             suffix=${{ inputs.tag-suffix }}
-      - name: Docker meta AIO (quay.io)
-        if: inputs.aio != ''
-        id: meta_aio
-        uses: docker/metadata-action@v5
-        with:
-          images: |
-            quay.io/go-skynet/local-ai
-          tags: |
-            type=ref,event=branch
-            type=semver,pattern={{raw}}
-          flavor: |
-            latest=${{ inputs.tag-latest }}
-            suffix=${{ inputs.aio }},onlatest=true
-
-      - name: Docker meta AIO (dockerhub)
-        if: inputs.aio != ''
-        id: meta_aio_dockerhub
-        uses: docker/metadata-action@v5
-        with:
-          images: |
-            localai/localai
-          tags: |
-            type=ref,event=branch
-            type=semver,pattern={{raw}}
-          flavor: |
-            latest=${{ inputs.tag-latest }}
-            suffix=${{ inputs.aio }},onlatest=true
-
       - name: Set up QEMU
         uses: docker/setup-qemu-action@master
         with:
@@ -206,21 +183,21 @@ jobs:
 
       - name: Login to DockerHub
         if: github.event_name != 'pull_request'
-        uses: docker/login-action@v3
+        uses: docker/login-action@v4
         with:
           username: ${{ secrets.dockerUsername }}
           password: ${{ secrets.dockerPassword }}
 
       - name: Login to DockerHub
         if: github.event_name != 'pull_request'
-        uses: docker/login-action@v3
+        uses: docker/login-action@v4
         with:
           registry: quay.io
           username: ${{ secrets.quayUsername }}
           password: ${{ secrets.quayPassword }}
 
       - name: Build and push
-        uses: docker/build-push-action@v6
+        uses: docker/build-push-action@v7
         if: github.event_name != 'pull_request'
         with:
           builder: ${{ steps.buildx.outputs.name }}
@@ -238,6 +215,8 @@ jobs:
             GRPC_VERSION=v1.65.0
             MAKEFLAGS=${{ inputs.makeflags }}
             SKIP_DRIVERS=${{ inputs.skip-drivers }}
+            UBUNTU_VERSION=${{ inputs.ubuntu-version }}
+            UBUNTU_CODENAME=${{ inputs.ubuntu-codename }}
           context: .
           file: ./Dockerfile
           cache-from: type=gha
@@ -247,7 +226,7 @@ jobs:
           labels: ${{ steps.meta.outputs.labels }}
 ### Start testing image
       - name: Build and push
-        uses: docker/build-push-action@v6
+        uses: docker/build-push-action@v7
         if: github.event_name == 'pull_request'
         with:
           builder: ${{ steps.buildx.outputs.name }}
@@ -265,6 +244,8 @@ jobs:
             GRPC_VERSION=v1.65.0
             MAKEFLAGS=${{ inputs.makeflags }}
             SKIP_DRIVERS=${{ inputs.skip-drivers }}
+            UBUNTU_VERSION=${{ inputs.ubuntu-version }}
+            UBUNTU_CODENAME=${{ inputs.ubuntu-codename }}
           context: .
           file: ./Dockerfile
           cache-from: type=gha
@@ -273,41 +254,6 @@ jobs:
           tags: ${{ steps.meta_pull_request.outputs.tags }}
           labels: ${{ steps.meta_pull_request.outputs.labels }}
 ## End testing image
-      - name: Build and push AIO image
-        if: inputs.aio != ''
-        uses: docker/build-push-action@v6
-        with:
-          builder: ${{ steps.buildx.outputs.name }}
-          build-args: |
-            BASE_IMAGE=quay.io/go-skynet/local-ai:${{ steps.meta.outputs.version }}
-            MAKEFLAGS=${{ inputs.makeflags }}
-          context: .
-          file: ./Dockerfile.aio
-          platforms: ${{ inputs.platforms }}
-          push: ${{ github.event_name != 'pull_request' }}
-          tags: ${{ steps.meta_aio.outputs.tags }}
-          labels: ${{ steps.meta_aio.outputs.labels }}
-
-      - name: Build and push AIO image (dockerhub)
-        if: inputs.aio != ''
-        uses: docker/build-push-action@v6
-        with:
-          builder: ${{ steps.buildx.outputs.name }}
-          build-args: |
-            BASE_IMAGE=localai/localai:${{ steps.meta.outputs.version }}
-            MAKEFLAGS=${{ inputs.makeflags }}
-          context: .
-          file: ./Dockerfile.aio
-          platforms: ${{ inputs.platforms }}
-          push: ${{ github.event_name != 'pull_request' }}
-          tags: ${{ steps.meta_aio_dockerhub.outputs.tags }}
-          labels: ${{ steps.meta_aio_dockerhub.outputs.labels }}
-
       - name: job summary
         run: |
           echo "Built image: ${{ steps.meta.outputs.labels }}" >> $GITHUB_STEP_SUMMARY
-
-      - name: job summary(AIO)
-        if: inputs.aio != ''
-        run: |
-          echo "Built image: ${{ steps.meta_aio.outputs.labels }}" >> $GITHUB_STEP_SUMMARY

.github/workflows/notify-releases.yaml

@@ -6,15 +6,17 @@ on:
 
 jobs:
   notify-discord:
+    if: github.repository == 'mudler/LocalAI'
     runs-on: ubuntu-latest
     env:
         RELEASE_BODY: ${{ github.event.release.body }}
         RELEASE_TITLE: ${{ github.event.release.name }}
         RELEASE_TAG_NAME: ${{ github.event.release.tag_name }}
+        MODEL_NAME: gemma-3-12b-it-qat
     steps:
     - uses: mudler/localai-github-action@v1
       with:
-        model: 'gemma-3-12b-it' # Any from models.localai.io, or from huggingface.com with: "huggingface://<repository>/file"
+        model: 'gemma-3-12b-it-qat' # Any from models.localai.io, or from huggingface.com with: "huggingface://<repository>/file"
     - name: Summarize
       id: summarize
       run: |

.github/workflows/release.yaml

@@ -10,7 +10,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Checkout
-        uses: actions/checkout@v4
+        uses: actions/checkout@v6
         with:
           fetch-depth: 0
       - name: Set up Go
@@ -18,9 +18,47 @@ jobs:
         with:
           go-version: 1.23
       - name: Run GoReleaser
-        uses: goreleaser/goreleaser-action@v6
+        uses: goreleaser/goreleaser-action@v7
         with:
           version: v2.11.0
           args: release --clean
         env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} 
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+  launcher-build-darwin:
+    runs-on: macos-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v6
+        with:
+          fetch-depth: 0
+      - name: Set up Go
+        uses: actions/setup-go@v5
+        with:
+          go-version: 1.23
+      - name: Build launcher for macOS ARM64
+        run: |
+          make build-launcher-darwin
+      - name: Upload DMG to Release
+        uses: softprops/action-gh-release@v3
+        with:
+          files: ./dist/LocalAI.dmg
+  launcher-build-linux:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v6
+        with:
+          fetch-depth: 0
+      - name: Set up Go
+        uses: actions/setup-go@v5
+        with:
+          go-version: 1.23
+      - name: Build launcher for Linux
+        run: |
+          sudo apt-get update
+          sudo apt-get install golang gcc libgl1-mesa-dev xorg-dev libxkbcommon-dev
+          make build-launcher-linux
+      - name: Upload Linux launcher artifacts
+        uses: softprops/action-gh-release@v3
+        with:
+          files: ./local-ai-launcher-linux.tar.xz

.github/workflows/secscan.yaml

@@ -14,17 +14,17 @@ jobs:
       GO111MODULE: on
     steps:
       - name: Checkout Source
-        uses: actions/checkout@v4
+        uses: actions/checkout@v6
         if: ${{ github.actor != 'dependabot[bot]' }}
       - name: Run Gosec Security Scanner
         if: ${{ github.actor != 'dependabot[bot]' }}
-        uses: securego/gosec@v2.22.7
+        uses: securego/gosec@v2.22.9
         with:
           # we let the report trigger content trigger a failure using the GitHub Security features.
           args: '-no-fail -fmt sarif -out results.sarif ./...'
       - name: Upload SARIF file
         if: ${{ github.actor != 'dependabot[bot]' }}
-        uses: github/codeql-action/upload-sarif@v3
+        uses: github/codeql-action/upload-sarif@v4
         with:
           # Path to SARIF file relative to the root of the repository
           sarif_file: results.sarif

.github/workflows/stalebot.yml

@@ -8,9 +8,10 @@ on:
 
 jobs:
   stale:
+    if: github.repository == 'mudler/LocalAI'
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/stale@5bef64f19d7facfb25b37b414482c7164d639639 # v9
+      - uses: actions/stale@b5d41d4e1d5dceea10e7104786b73624c18a190f # v9
         with:
           stale-issue-message: 'This issue is stale because it has been open 90 days with no activity. Remove stale label or comment or this will be closed in 5 days.'
           stale-pr-message: 'This PR is stale because it has been open 90 days with no activity. Remove stale label or comment or this will be closed in 10 days.'

.github/workflows/test-extra.yml

@@ -14,12 +14,50 @@ concurrency:
   cancel-in-progress: true
 
 jobs:
+  detect-changes:
+    runs-on: ubuntu-latest
+    outputs:
+      run-all: ${{ steps.detect.outputs.run-all }}
+      transformers: ${{ steps.detect.outputs.transformers }}
+      rerankers: ${{ steps.detect.outputs.rerankers }}
+      diffusers: ${{ steps.detect.outputs.diffusers }}
+      coqui: ${{ steps.detect.outputs.coqui }}
+      moonshine: ${{ steps.detect.outputs.moonshine }}
+      pocket-tts: ${{ steps.detect.outputs.pocket-tts }}
+      qwen-tts: ${{ steps.detect.outputs.qwen-tts }}
+      qwen-asr: ${{ steps.detect.outputs.qwen-asr }}
+      nemo: ${{ steps.detect.outputs.nemo }}
+      voxcpm: ${{ steps.detect.outputs.voxcpm }}
+      llama-cpp-quantization: ${{ steps.detect.outputs.llama-cpp-quantization }}
+      llama-cpp: ${{ steps.detect.outputs.llama-cpp }}
+      ik-llama-cpp: ${{ steps.detect.outputs.ik-llama-cpp }}
+      turboquant: ${{ steps.detect.outputs.turboquant }}
+      vllm: ${{ steps.detect.outputs.vllm }}
+      sglang: ${{ steps.detect.outputs.sglang }}
+      acestep-cpp: ${{ steps.detect.outputs.acestep-cpp }}
+      qwen3-tts-cpp: ${{ steps.detect.outputs.qwen3-tts-cpp }}
+      voxtral: ${{ steps.detect.outputs.voxtral }}
+      kokoros: ${{ steps.detect.outputs.kokoros }}
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v6
+      - name: Setup Bun
+        uses: oven-sh/setup-bun@v2
+      - name: Install dependencies
+        run: bun add js-yaml @octokit/core
+      - name: Detect changed backends
+        id: detect
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          GITHUB_EVENT_PATH: ${{ github.event_path }}
+        run: bun run scripts/changed-backends.js
+
   # Requires CUDA
   # tests-chatterbox-tts:
   #   runs-on: ubuntu-latest
   #   steps:
   #     - name: Clone
-  #       uses: actions/checkout@v4
+  #       uses: actions/checkout@v6
   #       with:
   #         submodules: true
   #     - name: Dependencies
@@ -37,10 +75,12 @@ jobs:
   #          make --jobs=5 --output-sync=target -C backend/python/chatterbox
   #          make --jobs=5 --output-sync=target -C backend/python/chatterbox test
   tests-transformers:
+    needs: detect-changes
+    if: needs.detect-changes.outputs.transformers == 'true' || needs.detect-changes.outputs.run-all == 'true'
     runs-on: ubuntu-latest
     steps:
       - name: Clone
-        uses: actions/checkout@v4
+        uses: actions/checkout@v6
         with:
           submodules: true
       - name: Dependencies
@@ -58,10 +98,12 @@ jobs:
            make --jobs=5 --output-sync=target -C backend/python/transformers
            make --jobs=5 --output-sync=target -C backend/python/transformers test
   tests-rerankers:
+    needs: detect-changes
+    if: needs.detect-changes.outputs.rerankers == 'true' || needs.detect-changes.outputs.run-all == 'true'
     runs-on: ubuntu-latest
     steps:
       - name: Clone
-        uses: actions/checkout@v4
+        uses: actions/checkout@v6
         with:
           submodules: true
       - name: Dependencies
@@ -80,10 +122,12 @@ jobs:
            make --jobs=5 --output-sync=target -C backend/python/rerankers test
 
   tests-diffusers:
+    needs: detect-changes
+    if: needs.detect-changes.outputs.diffusers == 'true' || needs.detect-changes.outputs.run-all == 'true'
     runs-on: ubuntu-latest
     steps:
       - name: Clone
-        uses: actions/checkout@v4
+        uses: actions/checkout@v6
         with:
           submodules: true
       - name: Dependencies
@@ -104,7 +148,7 @@ jobs:
   #  runs-on: ubuntu-latest
   #  steps:
   #    - name: Clone
-  #      uses: actions/checkout@v4
+  #      uses: actions/checkout@v6
   #      with:
   #        submodules: true
   #    - name: Dependencies
@@ -124,7 +168,7 @@ jobs:
   #   runs-on: ubuntu-latest
   #   steps:
   #     - name: Clone
-  #       uses: actions/checkout@v4
+  #       uses: actions/checkout@v6
   #       with:
   #         submodules: true
   #     - name: Dependencies
@@ -186,7 +230,7 @@ jobs:
   #           sudo rm -rf "$AGENT_TOOLSDIRECTORY" || true
   #           df -h
   #     - name: Clone
-  #       uses: actions/checkout@v4
+  #       uses: actions/checkout@v6
   #       with:
   #         submodules: true
   #     - name: Dependencies
@@ -211,7 +255,7 @@ jobs:
   #   runs-on: ubuntu-latest
   #   steps:
   #     - name: Clone
-  #       uses: actions/checkout@v4
+  #       uses: actions/checkout@v6
   #       with:
   #         submodules: true
   #     - name: Dependencies
@@ -229,16 +273,18 @@ jobs:
   #          make --jobs=5 --output-sync=target -C backend/python/vllm test
 
   tests-coqui:
+    needs: detect-changes
+    if: needs.detect-changes.outputs.coqui == 'true' || needs.detect-changes.outputs.run-all == 'true'
     runs-on: ubuntu-latest
     steps:
       - name: Clone
-        uses: actions/checkout@v4
+        uses: actions/checkout@v6
         with:
           submodules: true
       - name: Dependencies
         run: |
           sudo apt-get update
-          sudo apt-get install build-essential ffmpeg
+          sudo apt-get install -y build-essential ffmpeg
           sudo apt-get install -y ca-certificates cmake curl patch espeak espeak-ng python3-pip
           # Install UV
           curl -LsSf https://astral.sh/uv/install.sh | sh
@@ -247,3 +293,461 @@ jobs:
         run: |
           make --jobs=5 --output-sync=target -C backend/python/coqui
           make --jobs=5 --output-sync=target -C backend/python/coqui test
+  tests-moonshine:
+    needs: detect-changes
+    if: needs.detect-changes.outputs.moonshine == '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 ffmpeg
+          sudo apt-get install -y ca-certificates cmake curl patch python3-pip
+          # Install UV
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          pip install --user --no-cache-dir grpcio-tools==1.64.1
+      - name: Test moonshine
+        run: |
+          make --jobs=5 --output-sync=target -C backend/python/moonshine
+          make --jobs=5 --output-sync=target -C backend/python/moonshine test
+  tests-pocket-tts:
+    needs: detect-changes
+    if: needs.detect-changes.outputs.pocket-tts == '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 ffmpeg
+          sudo apt-get install -y ca-certificates cmake curl patch python3-pip
+          # Install UV
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          pip install --user --no-cache-dir grpcio-tools==1.64.1
+      - name: Test pocket-tts
+        run: |
+          make --jobs=5 --output-sync=target -C backend/python/pocket-tts
+          make --jobs=5 --output-sync=target -C backend/python/pocket-tts test
+  tests-qwen-tts:
+    needs: detect-changes
+    if: needs.detect-changes.outputs.qwen-tts == '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 ffmpeg
+          sudo apt-get install -y ca-certificates cmake curl patch python3-pip
+          # Install UV
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          pip install --user --no-cache-dir grpcio-tools==1.64.1
+      - name: Test qwen-tts
+        run: |
+          make --jobs=5 --output-sync=target -C backend/python/qwen-tts
+          make --jobs=5 --output-sync=target -C backend/python/qwen-tts test
+  # TODO: s2-pro model is too large to load on CPU-only CI runners — re-enable
+  # when we have GPU runners or a smaller test model.
+  # tests-fish-speech:
+  #   runs-on: ubuntu-latest
+  #   timeout-minutes: 45
+  #   steps:
+  #     - name: Clone
+  #       uses: actions/checkout@v6
+  #       with:
+  #         submodules: true
+  #     - name: Dependencies
+  #       run: |
+  #         sudo apt-get update
+  #         sudo apt-get install -y build-essential ffmpeg portaudio19-dev
+  #         sudo apt-get install -y ca-certificates cmake curl patch python3-pip
+  #         # Install UV
+  #         curl -LsSf https://astral.sh/uv/install.sh | sh
+  #         pip install --user --no-cache-dir grpcio-tools==1.64.1
+  #     - name: Test fish-speech
+  #       run: |
+  #         make --jobs=5 --output-sync=target -C backend/python/fish-speech
+  #         make --jobs=5 --output-sync=target -C backend/python/fish-speech test
+  tests-qwen-asr:
+    needs: detect-changes
+    if: needs.detect-changes.outputs.qwen-asr == '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 ffmpeg sox
+          sudo apt-get install -y ca-certificates cmake curl patch python3-pip
+          # Install UV
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          pip install --user --no-cache-dir grpcio-tools==1.64.1
+      - name: Test qwen-asr
+        run: |
+          make --jobs=5 --output-sync=target -C backend/python/qwen-asr
+          make --jobs=5 --output-sync=target -C backend/python/qwen-asr test
+  tests-nemo:
+    needs: detect-changes
+    if: needs.detect-changes.outputs.nemo == '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 ffmpeg sox
+          sudo apt-get install -y ca-certificates cmake curl patch python3-pip
+          # Install UV
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          pip install --user --no-cache-dir grpcio-tools==1.64.1
+      - name: Test nemo
+        run: |
+          make --jobs=5 --output-sync=target -C backend/python/nemo
+          make --jobs=5 --output-sync=target -C backend/python/nemo test
+  tests-voxcpm:
+    needs: detect-changes
+    if: needs.detect-changes.outputs.voxcpm == '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 build-essential ffmpeg
+          sudo apt-get install -y ca-certificates cmake curl patch python3-pip
+          # Install UV
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          pip install --user --no-cache-dir grpcio-tools==1.64.1
+      - name: Test voxcpm
+        run: |
+          make --jobs=5 --output-sync=target -C backend/python/voxcpm
+          make --jobs=5 --output-sync=target -C backend/python/voxcpm test
+  tests-llama-cpp-quantization:
+    needs: detect-changes
+    if: needs.detect-changes.outputs.llama-cpp-quantization == 'true' || needs.detect-changes.outputs.run-all == 'true'
+    runs-on: ubuntu-latest
+    timeout-minutes: 30
+    steps:
+      - name: Clone
+        uses: actions/checkout@v6
+        with:
+          submodules: true
+      - name: Dependencies
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y build-essential cmake curl git python3-pip
+          # Install UV
+          curl -LsSf https://astral.sh/uv/install.sh | sh
+          pip install --user --no-cache-dir grpcio-tools==1.64.1
+      - name: Build llama-quantize from llama.cpp
+        run: |
+          git clone --depth 1 https://github.com/ggml-org/llama.cpp.git /tmp/llama.cpp
+          cmake -B /tmp/llama.cpp/build -S /tmp/llama.cpp -DGGML_NATIVE=OFF
+          cmake --build /tmp/llama.cpp/build --target llama-quantize -j$(nproc)
+          sudo cp /tmp/llama.cpp/build/bin/llama-quantize /usr/local/bin/
+      - name: Install backend
+        run: |
+          make --jobs=5 --output-sync=target -C backend/python/llama-cpp-quantization
+      - name: Test llama-cpp-quantization
+        run: |
+          make --jobs=5 --output-sync=target -C backend/python/llama-cpp-quantization test
+  tests-llama-cpp-grpc:
+    needs: detect-changes
+    if: needs.detect-changes.outputs.llama-cpp == 'true' || needs.detect-changes.outputs.run-all == 'true'
+    runs-on: ubuntu-latest
+    timeout-minutes: 90
+    steps:
+      - name: Clone
+        uses: actions/checkout@v6
+        with:
+          submodules: true
+      - name: Setup Go
+        uses: actions/setup-go@v5
+        with:
+          go-version: '1.25.4'
+      - name: Build llama-cpp backend image and run gRPC e2e tests
+        run: |
+          make test-extra-backend-llama-cpp
+  tests-llama-cpp-grpc-transcription:
+    needs: detect-changes
+    if: needs.detect-changes.outputs.llama-cpp == 'true' || needs.detect-changes.outputs.run-all == 'true'
+    runs-on: ubuntu-latest
+    timeout-minutes: 90
+    steps:
+      - name: Clone
+        uses: actions/checkout@v6
+        with:
+          submodules: true
+      - name: Setup Go
+        uses: actions/setup-go@v5
+        with:
+          go-version: '1.25.4'
+      - name: Build llama-cpp backend image and run audio transcription gRPC e2e tests
+        run: |
+          make test-extra-backend-llama-cpp-transcription
+  tests-ik-llama-cpp-grpc:
+    needs: detect-changes
+    if: needs.detect-changes.outputs.ik-llama-cpp == 'true' || needs.detect-changes.outputs.run-all == 'true'
+    runs-on: ubuntu-latest
+    timeout-minutes: 90
+    steps:
+      - name: Clone
+        uses: actions/checkout@v6
+        with:
+          submodules: true
+      - name: Setup Go
+        uses: actions/setup-go@v5
+        with:
+          go-version: '1.25.4'
+      - name: Build ik-llama-cpp backend image and run gRPC e2e tests
+        run: |
+          make test-extra-backend-ik-llama-cpp
+  tests-turboquant-grpc:
+    needs: detect-changes
+    if: needs.detect-changes.outputs.turboquant == 'true' || needs.detect-changes.outputs.run-all == 'true'
+    runs-on: ubuntu-latest
+    timeout-minutes: 90
+    steps:
+      - name: Clone
+        uses: actions/checkout@v6
+        with:
+          submodules: true
+      - name: Setup Go
+        uses: actions/setup-go@v5
+        with:
+          go-version: '1.25.4'
+      # Exercises the turboquant (llama.cpp fork) backend with KV-cache
+      # quantization enabled. The convenience target sets
+      # BACKEND_TEST_CACHE_TYPE_K / _V=q8_0, which are plumbed into the
+      # ModelOptions.CacheTypeKey/Value gRPC fields. LoadModel-success +
+      # backend stdout/stderr (captured by the Ginkgo suite) prove the
+      # cache-type config path reaches the fork's KV-cache init.
+      - name: Build turboquant backend image and run gRPC e2e tests
+        run: |
+          make test-extra-backend-turboquant
+  # tests-vllm-grpc is currently disabled in CI.
+  #
+  # The prebuilt vllm CPU wheel is compiled with AVX-512 VNNI/BF16
+  # instructions, and neither ubuntu-latest nor the bigger-runner pool
+  # offers a stable CPU baseline that supports them — runners come
+  # back with different hardware between runs and SIGILL on import of
+  # vllm.model_executor.models.registry. Compiling vllm from source
+  # via FROM_SOURCE=true works on any CPU but takes 30-50 minutes per
+  # run, which is too slow for a smoke test.
+  #
+  # The test itself (tests/e2e-backends + make test-extra-backend-vllm)
+  # is fully working and validated locally on a host with the right
+  # SIMD baseline. Run it manually with:
+  #
+  #   make test-extra-backend-vllm
+  #
+  # Re-enable this job once we have a self-hosted runner label with
+  # guaranteed AVX-512 VNNI/BF16 support, or once the vllm project
+  # publishes a CPU wheel with a wider baseline.
+  #
+  # tests-vllm-grpc:
+  #   needs: detect-changes
+  #   if: needs.detect-changes.outputs.vllm == 'true' || needs.detect-changes.outputs.run-all == 'true'
+  #   runs-on: bigger-runner
+  #   timeout-minutes: 90
+  #   steps:
+  #     - name: Clone
+  #       uses: actions/checkout@v6
+  #       with:
+  #         submodules: true
+  #     - name: Dependencies
+  #       run: |
+  #         sudo apt-get update
+  #         sudo apt-get install -y --no-install-recommends \
+  #             make build-essential curl unzip ca-certificates git tar
+  #     - name: Setup Go
+  #       uses: actions/setup-go@v5
+  #       with:
+  #         go-version: '1.25.4'
+  #     - name: Free disk space
+  #       run: |
+  #         sudo rm -rf /usr/share/dotnet /opt/ghc /usr/local/lib/android /opt/hostedtoolcache/CodeQL || true
+  #         df -h
+  #     - name: Build vllm (cpu) backend image and run gRPC e2e tests
+  #       run: |
+  #         make test-extra-backend-vllm
+  # tests-sglang-grpc is currently disabled in CI for the same reason as
+  # tests-vllm-grpc: sglang's CPU kernel (sgl-kernel) uses __m512 AVX-512
+  # intrinsics unconditionally in shm.cpp, so the from-source build
+  # requires `-march=sapphirerapids` (already set in install.sh) and the
+  # resulting binary SIGILLs at import on CPUs without AVX-512 VNNI/BF16.
+  # The ubuntu-latest runner pool does not guarantee that ISA baseline.
+  #
+  # The test itself (tests/e2e-backends + make test-extra-backend-sglang)
+  # is fully working and validated locally on a host with the right
+  # SIMD baseline. Run it manually with:
+  #
+  #   make test-extra-backend-sglang
+  #
+  # Re-enable this job once we have a self-hosted runner label with
+  # guaranteed AVX-512 VNNI/BF16 support.
+  #
+  # tests-sglang-grpc:
+  #   needs: detect-changes
+  #   if: needs.detect-changes.outputs.sglang == 'true' || needs.detect-changes.outputs.run-all == 'true'
+  #   runs-on: bigger-runner
+  #   timeout-minutes: 90
+  #   steps:
+  #     - name: Clone
+  #       uses: actions/checkout@v6
+  #       with:
+  #         submodules: true
+  #     - name: Dependencies
+  #       run: |
+  #         sudo apt-get update
+  #         sudo apt-get install -y --no-install-recommends \
+  #             make build-essential curl unzip ca-certificates git tar
+  #     - name: Setup Go
+  #       uses: actions/setup-go@v5
+  #       with:
+  #         go-version: '1.25.4'
+  #     - name: Free disk space
+  #       run: |
+  #         sudo rm -rf /usr/share/dotnet /opt/ghc /usr/local/lib/android /opt/hostedtoolcache/CodeQL || true
+  #         df -h
+  #     - name: Build sglang (cpu) backend image and run gRPC e2e tests
+  #       run: |
+  #         make test-extra-backend-sglang
+  tests-acestep-cpp:
+    needs: detect-changes
+    if: needs.detect-changes.outputs.acestep-cpp == 'true' || needs.detect-changes.outputs.run-all == 'true'
+    runs-on: ubuntu-latest
+    steps:
+      - name: Clone
+        uses: actions/checkout@v6
+        with:
+          submodules: true
+      - name: Dependencies
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y build-essential cmake curl libopenblas-dev ffmpeg
+      - name: Setup Go
+        uses: actions/setup-go@v5
+      - name: Display Go version
+        run: go version
+      - name: Proto Dependencies
+        run: |
+          # Install protoc
+          curl -L -s https://github.com/protocolbuffers/protobuf/releases/download/v26.1/protoc-26.1-linux-x86_64.zip -o protoc.zip && \
+          unzip -j -d /usr/local/bin protoc.zip bin/protoc && \
+          rm protoc.zip
+          go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.2
+          go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@1958fcbe2ca8bd93af633f11e97d44e567e945af
+          PATH="$PATH:$HOME/go/bin" make protogen-go
+      - name: Build acestep-cpp
+        run: |
+          make --jobs=5 --output-sync=target -C backend/go/acestep-cpp
+      - name: Test acestep-cpp
+        run: |
+          make --jobs=5 --output-sync=target -C backend/go/acestep-cpp test
+  tests-qwen3-tts-cpp:
+    needs: detect-changes
+    if: needs.detect-changes.outputs.qwen3-tts-cpp == 'true' || needs.detect-changes.outputs.run-all == 'true'
+    runs-on: ubuntu-latest
+    steps:
+      - name: Clone
+        uses: actions/checkout@v6
+        with:
+          submodules: true
+      - name: Dependencies
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y build-essential cmake curl libopenblas-dev ffmpeg
+      - name: Setup Go
+        uses: actions/setup-go@v5
+      - name: Display Go version
+        run: go version
+      - name: Proto Dependencies
+        run: |
+          # Install protoc
+          curl -L -s https://github.com/protocolbuffers/protobuf/releases/download/v26.1/protoc-26.1-linux-x86_64.zip -o protoc.zip && \
+          unzip -j -d /usr/local/bin protoc.zip bin/protoc && \
+          rm protoc.zip
+          go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.2
+          go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@1958fcbe2ca8bd93af633f11e97d44e567e945af
+          PATH="$PATH:$HOME/go/bin" make protogen-go
+      - name: Build qwen3-tts-cpp
+        run: |
+          make --jobs=5 --output-sync=target -C backend/go/qwen3-tts-cpp
+      - name: Test qwen3-tts-cpp
+        run: |
+          make --jobs=5 --output-sync=target -C backend/go/qwen3-tts-cpp test
+  tests-voxtral:
+    needs: detect-changes
+    if: needs.detect-changes.outputs.voxtral == 'true' || needs.detect-changes.outputs.run-all == 'true'
+    runs-on: ubuntu-latest
+    steps:
+      - name: Clone
+        uses: actions/checkout@v6
+        with:
+          submodules: true
+      - name: Dependencies
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y build-essential cmake curl libopenblas-dev ffmpeg
+      - name: Setup Go
+        uses: actions/setup-go@v5
+      # You can test your matrix by printing the current Go version
+      - name: Display Go version
+        run: go version
+      - name: Proto Dependencies
+        run: |
+          # Install protoc
+          curl -L -s https://github.com/protocolbuffers/protobuf/releases/download/v26.1/protoc-26.1-linux-x86_64.zip -o protoc.zip && \
+          unzip -j -d /usr/local/bin protoc.zip bin/protoc && \
+          rm protoc.zip
+          go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.2
+          go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@1958fcbe2ca8bd93af633f11e97d44e567e945af
+          PATH="$PATH:$HOME/go/bin" make protogen-go
+      - name: Build voxtral
+        run: |
+          make --jobs=5 --output-sync=target -C backend/go/voxtral
+      - name: Test voxtral
+        run: |
+          make --jobs=5 --output-sync=target -C backend/go/voxtral test
+  tests-kokoros:
+    needs: detect-changes
+    if: needs.detect-changes.outputs.kokoros == 'true' || needs.detect-changes.outputs.run-all == 'true'
+    runs-on: ubuntu-latest
+    steps:
+      - name: Clone
+        uses: actions/checkout@v6
+        with:
+          submodules: true
+      - name: Dependencies
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y build-essential cmake pkg-config protobuf-compiler clang libclang-dev
+          sudo apt-get install -y espeak-ng libespeak-ng-dev libsonic-dev libpcaudio-dev libopus-dev libssl-dev
+          curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y
+          echo "$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

.github/workflows/test.yml

@@ -21,7 +21,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        go-version: ['1.21.x']
+        go-version: ['1.26.x']
     steps:
       - name: Free Disk Space (Ubuntu)
         uses: jlumbroso/free-disk-space@main
@@ -70,7 +70,7 @@ jobs:
           sudo rm -rfv build || true
           df -h
       - name: Clone
-        uses: actions/checkout@v4
+        uses: actions/checkout@v6
         with:
           submodules: true
       - name: Setup Go ${{ matrix.go-version }}
@@ -93,44 +93,30 @@ jobs:
       - name: Dependencies
         run: |
           sudo apt-get update
-          sudo apt-get install build-essential ccache upx-ucl curl ffmpeg
-          sudo apt-get install -y libgmock-dev clang
-          # Install UV
-          curl -LsSf https://astral.sh/uv/install.sh | sh
-          sudo apt-get install -y ca-certificates cmake patch python3-pip unzip
-          sudo apt-get install -y libopencv-dev
-
-          curl -L -s https://github.com/protocolbuffers/protobuf/releases/download/v26.1/protoc-26.1-linux-x86_64.zip -o protoc.zip && \
-          unzip -j -d /usr/local/bin protoc.zip bin/protoc && \
-          rm protoc.zip
-
-          curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
-          sudo dpkg -i cuda-keyring_1.1-1_all.deb
-          sudo apt-get update
-          sudo apt-get install -y cuda-nvcc-${CUDA_VERSION} libcublas-dev-${CUDA_VERSION}
-          export CUDACXX=/usr/local/cuda/bin/nvcc
-
-
-          # The python3-grpc-tools package in 22.04 is too old
-          pip install --user grpcio-tools==1.71.0 grpcio==1.71.0
-
-          make -C backend/python/transformers
-
-          make backends/huggingface backends/llama-cpp backends/local-store backends/silero-vad backends/piper backends/whisper backends/stablediffusion-ggml
-        env:
-          CUDA_VERSION: 12-4
+          sudo apt-get install curl ffmpeg libopus-dev
+      - name: Setup Node.js
+        uses: actions/setup-node@v6
+        with:
+          node-version: '22'
+      - name: Build React UI
+        run: make react-ui
+      - name: Build backends
+        run: |
+          make backends/transformers
+          mkdir external && mv backends/transformers external/transformers
+          make backends/llama-cpp backends/local-store backends/silero-vad backends/piper backends/whisper backends/stablediffusion-ggml
       - name: Test
         run: |
-          PATH="$PATH:/root/go/bin" GO_TAGS="tts" make --jobs 5 --output-sync=target test
+          TRANSFORMER_BACKEND=$PWD/external/transformers/run.sh PATH="$PATH:/root/go/bin" GO_TAGS="tts" make --jobs 5 --output-sync=target test
       - name: Setup tmate session if tests fail
         if: ${{ failure() }}
-        uses: mxschmitt/action-tmate@v3.22
+        uses: mxschmitt/action-tmate@v3.23
         with:
           detached: true
           connect-timeout-seconds: 180
           limit-access-to-actor: true
 
-  tests-aio-container:
+  tests-e2e-container:
     runs-on: ubuntu-latest
     steps:
       - name: Release space from worker
@@ -166,7 +152,7 @@ jobs:
           sudo rm -rfv build || true
           df -h
       - name: Clone
-        uses: actions/checkout@v4
+        uses: actions/checkout@v6
         with:
           submodules: true
       - name: Dependencies
@@ -180,23 +166,23 @@ jobs:
           PATH="$PATH:$HOME/go/bin" make protogen-go
       - name: Test
         run: |
-            PATH="$PATH:$HOME/go/bin" make backends/local-store backends/silero-vad backends/llama-cpp backends/whisper backends/piper backends/stablediffusion-ggml docker-build-aio e2e-aio
+            PATH="$PATH:$HOME/go/bin" make backends/local-store backends/silero-vad backends/llama-cpp backends/whisper backends/piper backends/stablediffusion-ggml docker-build-e2e e2e-aio
       - name: Setup tmate session if tests fail
         if: ${{ failure() }}
-        uses: mxschmitt/action-tmate@v3.22
+        uses: mxschmitt/action-tmate@v3.23
         with:
           detached: true
           connect-timeout-seconds: 180
           limit-access-to-actor: true
 
   tests-apple:
-    runs-on: macOS-14
+    runs-on: macos-latest
     strategy:
       matrix:
-        go-version: ['1.21.x']
+        go-version: ['1.26.x']
     steps:
       - name: Clone
-        uses: actions/checkout@v4
+        uses: actions/checkout@v6
         with:
           submodules: true
       - name: Setup Go ${{ matrix.go-version }}
@@ -209,16 +195,18 @@ jobs:
         run: go version
       - name: Dependencies
         run: |
-          brew install protobuf grpc make protoc-gen-go protoc-gen-go-grpc libomp llvm
-          pip install --user --no-cache-dir grpcio-tools==1.71.0 grpcio==1.71.0
+          brew install protobuf grpc make protoc-gen-go protoc-gen-go-grpc libomp llvm opus
+          pip install --user --no-cache-dir grpcio-tools grpcio
+      - name: Setup Node.js
+        uses: actions/setup-node@v6
+        with:
+          node-version: '22'
+      - name: Build React UI
+        run: make react-ui
       - name: Build llama-cpp-darwin
         run: |
           make protogen-go
-          make build
-          bash scripts/build-llama-cpp-darwin.sh
-          ls -la build/darwin.tar
-          mv build/darwin.tar build/llama-cpp.tar
-          ./local-ai backends install "ocifile://$PWD/build/llama-cpp.tar"
+          make backends/llama-cpp-darwin
       - name: Test
         run: |
           export C_INCLUDE_PATH=/usr/local/include
@@ -230,7 +218,7 @@ jobs:
           PATH="$PATH:$HOME/go/bin" BUILD_TYPE="GITHUB_CI_HAS_BROKEN_METAL" CMAKE_ARGS="-DGGML_F16C=OFF -DGGML_AVX512=OFF -DGGML_AVX2=OFF -DGGML_FMA=OFF" make --jobs 4 --output-sync=target test
       - name: Setup tmate session if tests fail
         if: ${{ failure() }}
-        uses: mxschmitt/action-tmate@v3.22
+        uses: mxschmitt/action-tmate@v3.23
         with:
           detached: true
           connect-timeout-seconds: 180

.github/workflows/tests-e2e.yml

@@ -0,0 +1,62 @@
+---
+name: 'E2E Backend Tests'
+
+on:
+  pull_request:
+  push:
+    branches:
+      - master
+    tags:
+      - '*'
+
+concurrency:
+  group: ci-tests-e2e-backend-${{ github.head_ref || github.ref }}-${{ github.repository }}
+  cancel-in-progress: true
+
+jobs:
+  tests-e2e-backend:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        go-version: ['1.25.x']
+    steps:
+      - name: Clone
+        uses: actions/checkout@v6
+        with:
+          submodules: true
+      - name: Setup Go ${{ matrix.go-version }}
+        uses: actions/setup-go@v5
+        with:
+          go-version: ${{ matrix.go-version }}
+          cache: false
+      - name: Display Go version
+        run: go version
+      - name: Proto Dependencies
+        run: |
+          # Install protoc
+          curl -L -s https://github.com/protocolbuffers/protobuf/releases/download/v26.1/protoc-26.1-linux-x86_64.zip -o protoc.zip && \
+          unzip -j -d /usr/local/bin protoc.zip bin/protoc && \
+          rm protoc.zip
+          go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.2
+          go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@1958fcbe2ca8bd93af633f11e97d44e567e945af
+          PATH="$PATH:$HOME/go/bin" make protogen-go
+      - name: Dependencies
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y build-essential libopus-dev
+      - name: Setup Node.js
+        uses: actions/setup-node@v6
+        with:
+          node-version: '22'
+      - name: Build React UI
+        run: make react-ui
+      - name: Test Backend E2E
+        run: |
+          PATH="$PATH:$HOME/go/bin" make build-mock-backend test-e2e
+      - name: Setup tmate session if tests fail
+        if: ${{ failure() }}
+        uses: mxschmitt/action-tmate@v3.23
+        with:
+          detached: true
+          connect-timeout-seconds: 180
+          limit-access-to-actor: true

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

@@ -0,0 +1,72 @@
+---
+name: 'UI E2E Tests'
+
+on:
+  pull_request:
+    paths:
+      - 'core/http/**'
+      - 'tests/e2e-ui/**'
+      - 'tests/e2e/mock-backend/**'
+  push:
+    branches:
+      - master
+
+concurrency:
+  group: ci-tests-ui-e2e-${{ github.head_ref || github.ref }}-${{ github.repository }}
+  cancel-in-progress: true
+
+jobs:
+  tests-ui-e2e:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        go-version: ['1.26.x']
+    steps:
+      - name: Clone
+        uses: actions/checkout@v6
+        with:
+          submodules: true
+      - name: Setup Go ${{ matrix.go-version }}
+        uses: actions/setup-go@v5
+        with:
+          go-version: ${{ matrix.go-version }}
+          cache: false
+      - name: Setup Node.js
+        uses: actions/setup-node@v6
+        with:
+          node-version: '22'
+      - name: Proto Dependencies
+        run: |
+          curl -L -s https://github.com/protocolbuffers/protobuf/releases/download/v26.1/protoc-26.1-linux-x86_64.zip -o protoc.zip && \
+          unzip -j -d /usr/local/bin protoc.zip bin/protoc && \
+          rm protoc.zip
+          go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.2
+          go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@1958fcbe2ca8bd93af633f11e97d44e567e945af
+      - name: System Dependencies
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y build-essential libopus-dev
+      - name: Build UI test server
+        run: PATH="$PATH:$HOME/go/bin" make build-ui-test-server
+      - name: Install Playwright
+        working-directory: core/http/react-ui
+        run: |
+          npm install
+          npx playwright install --with-deps chromium
+      - name: Run Playwright tests
+        working-directory: core/http/react-ui
+        run: npx playwright test
+      - name: Upload Playwright report
+        if: ${{ failure() }}
+        uses: actions/upload-artifact@v7
+        with:
+          name: playwright-report
+          path: core/http/react-ui/playwright-report/
+          retention-days: 7
+      - name: Setup tmate session if tests fail
+        if: ${{ failure() }}
+        uses: mxschmitt/action-tmate@v3.23
+        with:
+          detached: true
+          connect-timeout-seconds: 180
+          limit-access-to-actor: true

.github/workflows/update_swagger.yaml

@@ -5,11 +5,12 @@ on:
   workflow_dispatch:
 jobs:
   swagger:
+    if: github.repository == 'mudler/LocalAI'
     strategy:
       fail-fast: false
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v6
       - uses: actions/setup-go@v5
         with:
           go-version: 'stable'
@@ -25,7 +26,7 @@ jobs:
         run: |
           make protogen-go swagger
       - name: Create Pull Request
-        uses: peter-evans/create-pull-request@v7
+        uses: peter-evans/create-pull-request@v8
         with:
           token: ${{ secrets.UPDATE_BOT_TOKEN }}
           push-to-fork: ci-forks/LocalAI

.gitignore

@@ -24,7 +24,8 @@ go-bert
 
 # LocalAI build binary
 LocalAI
-local-ai
+/local-ai
+/local-ai-launcher
 # prevent above rules from omitting the helm chart
 !charts/*
 # prevent above rules from omitting the api/localai folder
@@ -35,6 +36,8 @@ local-ai
 models/*
 test-models/
 test-dir/
+tests/e2e-aio/backends
+mock-backend
 
 release/
 
@@ -62,3 +65,15 @@ docs/static/gallery.html
 
 # per-developer customization files for the development container
 .devcontainer/customization/*
+
+# React UI build artifacts (keep placeholder dist/index.html)
+core/http/react-ui/node_modules/
+core/http/react-ui/dist
+
+# Extracted backend binaries for container-based testing
+local-backends/
+
+# UI E2E test artifacts
+tests/e2e-ui/ui-test-server
+core/http/react-ui/playwright-report/
+core/http/react-ui/test-results/

.gitmodules

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

.goreleaser.yaml

@@ -2,13 +2,14 @@ version: 2
 before:
   hooks:
     - make protogen-go
+    - make react-ui
     - go mod tidy
 dist: release
 source:
   enabled: true
   name_template: '{{ .ProjectName }}-{{ .Tag }}-source'
 builds:
-  -
+  - main: ./cmd/local-ai
     env:
       - CGO_ENABLED=0
     ldflags:
@@ -22,6 +23,9 @@ builds:
     goarch:
       - amd64
       - arm64
+    ignore:
+      - goos: darwin
+        goarch: amd64
 archives:
   - formats: [ 'binary' ] # this removes the tar of the archives, leaving the binaries alone
     name_template: local-ai-{{ .Tag }}-{{ .Os }}-{{ .Arch }}{{ if .Arm }}v{{ .Arm }}{{ end }}

AGENTS.md

@@ -0,0 +1,38 @@
+# LocalAI Agent Instructions
+
+This file is the entry point for AI coding assistants (Claude Code, Cursor, Copilot, Codex, Aider, etc.) working on LocalAI. It is an index to detailed topic guides in the `.agents/` directory. Read the relevant file(s) for the task at hand — you don't need to load all of them.
+
+Human contributors: see [CONTRIBUTING.md](CONTRIBUTING.md) for the development workflow.
+
+## Policy for AI-Assisted Contributions
+
+LocalAI follows the Linux kernel project's [guidelines for AI coding assistants](https://docs.kernel.org/process/coding-assistants.html). Before submitting AI-assisted code, read [.agents/ai-coding-assistants.md](.agents/ai-coding-assistants.md). Key rules:
+
+- **No `Signed-off-by` from AI.** Only the human submitter may sign off on the Developer Certificate of Origin.
+- **No `Co-Authored-By: <AI>` trailers.** The human contributor owns the change.
+- **Use an `Assisted-by:` trailer** to attribute AI involvement. Format: `Assisted-by: AGENT_NAME:MODEL_VERSION [TOOL1] [TOOL2]`.
+- **The human submitter is responsible** for reviewing, testing, and understanding every line of generated code.
+
+## Topics
+
+| File | When to read |
+|------|-------------|
+| [.agents/ai-coding-assistants.md](.agents/ai-coding-assistants.md) | Policy for AI-assisted contributions — licensing, DCO, attribution |
+| [.agents/building-and-testing.md](.agents/building-and-testing.md) | Building the project, running tests, Docker builds for specific platforms |
+| [.agents/adding-backends.md](.agents/adding-backends.md) | Adding a new backend (Python, Go, or C++) — full step-by-step checklist |
+| [.agents/coding-style.md](.agents/coding-style.md) | Code style, editorconfig, logging, documentation conventions |
+| [.agents/llama-cpp-backend.md](.agents/llama-cpp-backend.md) | Working on the llama.cpp backend — architecture, updating, tool call parsing |
+| [.agents/vllm-backend.md](.agents/vllm-backend.md) | Working on the vLLM / vLLM-omni backends — native parsers, ChatDelta, CPU build, libnuma packaging, backend hooks |
+| [.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
+
+- **Logging**: Use `github.com/mudler/xlog` (same API as slog)
+- **Go style**: Prefer `any` over `interface{}`
+- **Comments**: Explain *why*, not *what*
+- **Docs**: Update `docs/content/` when adding features or changing config
+- **Build**: Inspect `Makefile` and `.github/workflows/` — ask the user before running long builds
+- **UI**: The active UI is the React app in `core/http/react-ui/`. The older Alpine.js/HTML UI in `core/http/static/` is pending deprecation — all new UI work goes in the React UI

CLAUDE.md

@@ -0,0 +1 @@
+AGENTS.md

CONTRIBUTING.md

@@ -7,10 +7,13 @@ Thank you for your interest in contributing to LocalAI! We appreciate your time
 - [Getting Started](#getting-started)
   - [Prerequisites](#prerequisites)
   - [Setting up the Development Environment](#setting-up-the-development-environment)
+  - [Environment Variables](#environment-variables)
 - [Contributing](#contributing)
   - [Submitting an Issue](#submitting-an-issue)
+  - [Development Workflow](#development-workflow)
   - [Creating a Pull Request (PR)](#creating-a-pull-request-pr)
 - [Coding Guidelines](#coding-guidelines)
+- [AI Coding Assistants](#ai-coding-assistants)
 - [Testing](#testing)
 - [Documentation](#documentation)
 - [Community and Communication](#community-and-communication)
@@ -19,17 +22,122 @@ Thank you for your interest in contributing to LocalAI! We appreciate your time
 
 ### Prerequisites
 
-- Golang [1.21]
-- Git
-- macOS/Linux
+- **Go 1.21+** (the project currently uses Go 1.26 in `go.mod`, but 1.21 is the minimum supported version)
+  - [Download Go](https://go.dev/dl/) or install via your package manager
+  - macOS: `brew install go`
+  - Ubuntu/Debian: follow the [official instructions](https://go.dev/doc/install) (the `apt` version is often outdated)
+  - Verify: `go version`
+- **Git**
+- **GNU Make**
+- **GCC / C/C++ toolchain** (required for CGo and native backends)
+- **Protocol Buffers compiler** (`protoc`) — needed for gRPC code generation
 
-### Setting up the Development Environment and running localAI in the local environment
+#### System dependencies by platform
 
-1. Clone the repository: `git clone https://github.com/go-skynet/LocalAI.git`
-2. Navigate to the project directory: `cd LocalAI`
-3. Install the required dependencies ( see https://localai.io/basics/build/#build-localai-locally )
-4. Build LocalAI: `make build`
-5. Run LocalAI: `./local-ai`
+<details>
+<summary><strong>Ubuntu / Debian</strong></summary>
+
+```bash
+sudo apt-get update
+sudo apt-get install -y build-essential gcc g++ cmake git wget \
+  protobuf-compiler libprotobuf-dev pkg-config \
+  libopencv-dev libgrpc-dev
+```
+
+</details>
+
+<details>
+<summary><strong>CentOS / RHEL / Fedora</strong></summary>
+
+```bash
+sudo dnf groupinstall -y "Development Tools"
+sudo dnf install -y cmake git wget protobuf-compiler protobuf-devel \
+  opencv-devel grpc-devel
+```
+
+</details>
+
+<details>
+<summary><strong>macOS</strong></summary>
+
+```bash
+xcode-select --install
+brew install cmake git protobuf grpc opencv wget
+```
+
+</details>
+
+<details>
+<summary><strong>Windows</strong></summary>
+
+Use [WSL 2](https://learn.microsoft.com/en-us/windows/wsl/install) with an Ubuntu distribution, then follow the Ubuntu instructions above.
+
+</details>
+
+### Setting up the Development Environment
+
+1. **Clone the repository:**
+
+   ```bash
+   git clone https://github.com/mudler/LocalAI.git
+   cd LocalAI
+   ```
+
+2. **Build LocalAI:**
+
+   ```bash
+   make build
+   ```
+
+   This runs protobuf generation, installs Go tools, builds the React UI, and compiles the `local-ai` binary. Key build variables you can set:
+
+   | Variable | Description | Example |
+   |---|---|---|
+   | `BUILD_TYPE` | GPU/accelerator type (`cublas`, `hipblas`, `intel`, ``) | `BUILD_TYPE=cublas make build` |
+   | `GO_TAGS` | Additional Go build tags | `GO_TAGS=debug make build` |
+   | `CUDA_MAJOR_VERSION` | CUDA major version (default: `13`) | `CUDA_MAJOR_VERSION=12` |
+
+3. **Run LocalAI:**
+
+   ```bash
+   ./local-ai
+   ```
+
+4. **Development mode with live reload:**
+
+   ```bash
+   make build-dev
+   ```
+
+   This installs [`air`](https://github.com/air-verse/air) automatically and watches for file changes, rebuilding and restarting the server on each save.
+
+5. **Containerized build** (no local toolchain needed):
+
+   ```bash
+   make docker
+   ```
+
+   For GPU-specific Docker builds, see the `docker-build-*` targets in the Makefile and refer to [CLAUDE.md](CLAUDE.md) for detailed backend build instructions.
+
+### Environment Variables
+
+LocalAI is configured primarily through environment variables (or equivalent CLI flags). The most useful ones for development are:
+
+| Variable | Description | Default |
+|---|---|---|
+| `LOCALAI_DEBUG` | Enable debug mode | `false` |
+| `LOCALAI_LOG_LEVEL` | Log verbosity (`error`, `warn`, `info`, `debug`, `trace`) | — |
+| `LOCALAI_LOG_FORMAT` | Log format (`default`, `text`, `json`) | `default` |
+| `LOCALAI_MODELS_PATH` | Path to model files | `./models` |
+| `LOCALAI_BACKENDS_PATH` | Path to backend binaries | `./backends` |
+| `LOCALAI_CONFIG_DIR` | Directory for dynamic config files (API keys, external backends) | `./configuration` |
+| `LOCALAI_THREADS` | Number of threads for inference | — |
+| `LOCALAI_ADDRESS` | Bind address for the API server | `:8080` |
+| `LOCALAI_API_KEY` | API key(s) for authentication | — |
+| `LOCALAI_CORS` | Enable CORS | `false` |
+| `LOCALAI_DISABLE_WEBUI` | Disable the web UI | `false` |
+
+See `core/cli/run.go` for the full list of supported environment variables.
 
 ## Contributing
 
@@ -39,44 +147,163 @@ We welcome contributions from everyone! To get started, follow these steps:
 
 If you find a bug, have a feature request, or encounter any issues, please check the [issue tracker](https://github.com/go-skynet/LocalAI/issues) to see if a similar issue has already been reported. If not, feel free to [create a new issue](https://github.com/go-skynet/LocalAI/issues/new) and provide as much detail as possible.
 
-### Creating a Pull Request (PR)
+### Development Workflow
+
+#### Branch naming conventions
+
+Use a descriptive branch name that indicates the type and scope of the change:
+
+- `feature/<short-description>` — new functionality
+- `fix/<short-description>` — bug fixes
+- `docs/<short-description>` — documentation changes
+- `refactor/<short-description>` — code refactoring
+
+#### Commit messages
+
+- Use a short, imperative subject line (e.g., "feat: add whisper backend support", not "Added whisper backend support")
+- Keep the subject under 72 characters
+- Use the body to explain **why** the change was made when the subject alone is not sufficient
+- Use [conventional commits](https://www.conventionalcommits.org/en/v1.0.0/)
+
+#### Creating a Pull Request (PR)
+
+Before jumping into a PR for a massive feature or big change, it is preferred to discuss it first via an issue.
 
 1. Fork the repository.
-2. Create a new branch with a descriptive name: `git checkout -b [branch name]`
-3. Make your changes and commit them.
-4. Push the changes to your fork: `git push origin [branch name]`
-5. Create a new pull request from your branch to the main project's `main` or `master` branch.
-6. Provide a clear description of your changes in the pull request.
-7. Make any requested changes during the review process.
-8. Once your PR is approved, it will be merged into the main project.
+2. Create a new branch: `git checkout -b feature/my-change`
+3. Make your changes, keeping commits focused and atomic.
+4. Run tests locally before pushing (see [Testing](#testing) below).
+5. Push to your fork: `git push origin feature/my-change`
+6. Open a pull request against the `master` branch.
+7. Fill in the PR description with:
+   - What the change does and why
+   - How it was tested
+   - Any breaking changes or migration steps
+8. Respond to review feedback promptly. Push follow-up commits rather than force-pushing amended commits so reviewers can see incremental changes.
+9. Once approved, a maintainer will merge your PR.
 
 ## Coding Guidelines
 
-- No specific coding guidelines at the moment. Please make sure the code can be tested. The most popular lint tools like [`golangci-lint`](https://golangci-lint.run) can help you here.
+This project uses an [`.editorconfig`](.editorconfig) file to define formatting standards (indentation, line endings, charset, etc.). Please configure your editor to respect it.
+
+For AI-assisted development, see [`AGENTS.md`](AGENTS.md) (or the equivalent [`CLAUDE.md`](CLAUDE.md) symlink) for agent-specific guidelines including build instructions and backend architecture details. Contributions produced with AI assistance must follow the rules in the [AI Coding Assistants](#ai-coding-assistants) section below.
+
+### General Principles
+
+- Write code that can be tested. All new features and bug fixes should include test coverage.
+- Use comments sparingly to explain **why** code does something, not **what** it does. Comments should add context that would be difficult to deduce from reading the code alone.
+- Keep changes focused. Avoid unrelated refactors, formatting changes, or feature additions in the same PR.
+
+### Go Code
+
+- Prefer modern Go idioms — for example, use `any` instead of `interface{}`.
+- Use [`golangci-lint`](https://golangci-lint.run) to catch common issues before submitting a PR.
+- Use [`github.com/mudler/xlog`](https://github.com/mudler/xlog) for logging (same API as `slog`). Do not use `fmt.Println` or the standard `log` package for operational logging.
+- Use tab indentation for Go files (as defined in `.editorconfig`).
+
+### Python Code
+
+- Use 4-space indentation (as defined in `.editorconfig`).
+- Include a `requirements.txt` for any new dependencies.
+
+### Code Review
+
+- All contributions go through code review via pull requests.
+- Reviewers will check for correctness, test coverage, adherence to these guidelines, and clarity of intent.
+- Be responsive to review feedback and keep discussions constructive.
+
+## AI Coding Assistants
+
+LocalAI follows the **same guidelines as the Linux kernel project** for AI-assisted contributions: <https://docs.kernel.org/process/coding-assistants.html>.
+
+The full policy for this repository lives in [`.agents/ai-coding-assistants.md`](.agents/ai-coding-assistants.md). Summary:
+
+- **AI agents MUST NOT add `Signed-off-by` tags.** Only humans can certify the Developer Certificate of Origin.
+- **AI agents MUST NOT add `Co-Authored-By` trailers** attributing themselves as co-authors.
+- **Attribute AI involvement with an `Assisted-by` trailer** in the commit message:
+
+  ```
+  Assisted-by: AGENT_NAME:MODEL_VERSION [TOOL1] [TOOL2]
+  ```
+
+  Example: `Assisted-by: Claude:claude-opus-4-7 golangci-lint`
+
+  Basic development tools (git, go, make, editors) should not be listed.
+- **The human submitter is responsible** for reviewing, testing, and fully understanding every line of AI-generated code — including verifying that any referenced APIs, flags, or file paths actually exist in the tree.
+- Contributions must remain compatible with LocalAI's **MIT License**.
 
 ## Testing
 
-`make test` cannot handle all the model now. Please be sure to add a test case for the new features or the part was changed.
+All new features and bug fixes should include test coverage. The project uses [Ginkgo](https://onsi.github.io/ginkgo/) as its test framework.
 
-### Running AIO tests
+### Running unit tests
 
-All-In-One images has a set of tests that automatically verifies that most of the endpoints works correctly, a flow can be :
+```bash
+make test
+```
+
+This downloads test model fixtures, runs protobuf generation, and executes the full test suite including llama-gguf, TTS, and stable-diffusion tests. Note: some tests require model files to be downloaded, so the first run may take longer.
+
+To run tests for a specific package:
+
+```bash
+go test ./core/config/...
+go test ./pkg/model/...
+```
+
+To run a specific test by name using Ginkgo's `--focus` flag:
+
+```bash
+go run github.com/onsi/ginkgo/v2/ginkgo --focus="should load a model" -v -r ./core/
+```
+
+### Running end-to-end tests
+
+The e2e tests run LocalAI in a Docker container and exercise the API:
+
+```bash
+make test-e2e
+```
+
+### Running E2E container tests
+
+These tests build a standard LocalAI Docker image and run it with pre-configured model configs to verify that most endpoints work correctly:
 
 ```bash
 # Build the LocalAI docker image
-make DOCKER_IMAGE=local-ai docker
+make docker-build-e2e
 
-# Build the corresponding AIO image
-BASE_IMAGE=local-ai DOCKER_AIO_IMAGE=local-ai-aio:test make docker-aio
+# Run the e2e tests (uses model configs from tests/e2e-aio/models/)
+make e2e-aio
+```
 
-# Run the AIO e2e tests
-LOCALAI_IMAGE_TAG=test LOCALAI_IMAGE=local-ai-aio make run-e2e-aio
+### Testing backends
+
+To prepare and test extra (Python) backends:
+
+```bash
+make prepare-test-extra   # build Python backends for testing
+make test-extra           # run backend-specific tests
 ```
 
 ## Documentation
 
-We are welcome the contribution of the documents, please open new PR or create a new issue. The documentation is available under `docs/` https://github.com/mudler/LocalAI/tree/master/docs
- 
+We welcome contributions to the documentation. Please open a new PR or create a new issue. The documentation is available under `docs/` https://github.com/mudler/LocalAI/tree/master/docs
+
+### Gallery YAML Schema
+
+LocalAI provides a JSON Schema for gallery model YAML files at:
+
+`core/schema/gallery-model.schema.json`
+
+This schema mirrors the internal gallery model configuration and can be used by editors (such as VS Code) to enable autocomplete, validation, and inline documentation when creating or modifying gallery files.
+
+To use it with the YAML language server, add the following comment at the top of a gallery YAML file:
+
+```yaml
+# yaml-language-server: $schema=../core/schema/gallery-model.schema.json
+```
+
 ## Community and Communication
 
 - You can reach out via the Github issue tracker.

Dockerfile

@@ -1,6 +1,7 @@
-ARG BASE_IMAGE=ubuntu:22.04
+ARG BASE_IMAGE=ubuntu:24.04
 ARG GRPC_BASE_IMAGE=${BASE_IMAGE}
 ARG INTEL_BASE_IMAGE=${BASE_IMAGE}
+ARG UBUNTU_CODENAME=noble
 
 FROM ${BASE_IMAGE} AS requirements
 
@@ -9,7 +10,7 @@ ENV DEBIAN_FRONTEND=noninteractive
 RUN apt-get update && \
     apt-get install -y --no-install-recommends \
         ca-certificates curl wget espeak-ng libgomp1 \
-        python3 python-is-python3 ffmpeg libopenblas-base libopenblas-dev && \
+        ffmpeg libopenblas0 libopenblas-dev libopus0 sox && \
     apt-get clean && \
     rm -rf /var/lib/apt/lists/*
 
@@ -23,6 +24,7 @@ ARG SKIP_DRIVERS=false
 ARG TARGETARCH
 ARG TARGETVARIANT
 ENV BUILD_TYPE=${BUILD_TYPE}
+ARG UBUNTU_VERSION=2404
 
 RUN mkdir -p /run/localai
 RUN echo "default" > /run/localai/capability
@@ -33,11 +35,45 @@ RUN <<EOT bash
         apt-get update && \
         apt-get install -y  --no-install-recommends \
             software-properties-common pciutils wget gpg-agent && \
-        wget -qO - https://packages.lunarg.com/lunarg-signing-key-pub.asc | apt-key add - && \
-        wget -qO /etc/apt/sources.list.d/lunarg-vulkan-jammy.list https://packages.lunarg.com/vulkan/lunarg-vulkan-jammy.list && \
-        apt-get update && \
-        apt-get install -y \
-            vulkan-sdk && \
+        apt-get install -y libglm-dev cmake libxcb-dri3-0 libxcb-present0 libpciaccess0 \
+            libpng-dev libxcb-keysyms1-dev libxcb-dri3-dev libx11-dev g++ gcc \
+            libwayland-dev libxrandr-dev libxcb-randr0-dev libxcb-ewmh-dev \
+            git python-is-python3 bison libx11-xcb-dev liblz4-dev libzstd-dev \
+            ocaml-core ninja-build pkg-config libxml2-dev wayland-protocols python3-jsonschema \
+            clang-format qtbase5-dev qt6-base-dev libxcb-glx0-dev sudo xz-utils mesa-vulkan-drivers
+        if [ "amd64" = "$TARGETARCH" ]; then
+            wget "https://sdk.lunarg.com/sdk/download/1.4.335.0/linux/vulkansdk-linux-x86_64-1.4.335.0.tar.xz" && \
+            tar -xf vulkansdk-linux-x86_64-1.4.335.0.tar.xz && \
+            rm vulkansdk-linux-x86_64-1.4.335.0.tar.xz && \
+            mkdir -p /opt/vulkan-sdk && \
+            mv 1.4.335.0 /opt/vulkan-sdk/ && \
+            cd /opt/vulkan-sdk/1.4.335.0 && \
+            ./vulkansdk --no-deps --maxjobs \
+                vulkan-loader \
+                vulkan-validationlayers \
+                vulkan-extensionlayer \
+                vulkan-tools \
+                shaderc && \
+            cp -rfv /opt/vulkan-sdk/1.4.335.0/x86_64/bin/* /usr/bin/ && \
+            cp -rfv /opt/vulkan-sdk/1.4.335.0/x86_64/lib/* /usr/lib/x86_64-linux-gnu/ && \
+            cp -rfv /opt/vulkan-sdk/1.4.335.0/x86_64/include/* /usr/include/ && \
+            cp -rfv /opt/vulkan-sdk/1.4.335.0/x86_64/share/* /usr/share/ && \
+            rm -rf /opt/vulkan-sdk
+        fi
+        if [ "arm64" = "$TARGETARCH" ]; then
+            mkdir vulkan && cd vulkan && \
+            curl -L -o vulkan-sdk.tar.xz https://github.com/mudler/vulkan-sdk-arm/releases/download/1.4.335.0/vulkansdk-ubuntu-24.04-arm-1.4.335.0.tar.xz && \
+            tar -xvf vulkan-sdk.tar.xz && \
+            rm vulkan-sdk.tar.xz && \
+            cd 1.4.335.0 && \
+            cp -rfv aarch64/bin/* /usr/bin/ && \
+            cp -rfv aarch64/lib/* /usr/lib/aarch64-linux-gnu/ && \
+            cp -rfv aarch64/include/* /usr/include/ && \
+            cp -rfv aarch64/share/* /usr/share/ && \
+            cd ../.. && \
+            rm -rf vulkan
+        fi
+        ldconfig && \
         apt-get clean && \
         rm -rf /var/lib/apt/lists/* && \
         echo "vulkan" > /run/localai/capability
@@ -46,15 +82,19 @@ EOT
 
 # CuBLAS requirements
 RUN <<EOT bash
-    if [ "${BUILD_TYPE}" = "cublas" ] && [ "${SKIP_DRIVERS}" = "false" ]; then
+    if ( [ "${BUILD_TYPE}" = "cublas" ] || [ "${BUILD_TYPE}" = "l4t" ] ) && [ "${SKIP_DRIVERS}" = "false" ]; then
         apt-get update && \
         apt-get install -y  --no-install-recommends \
             software-properties-common pciutils
         if [ "amd64" = "$TARGETARCH" ]; then
-            curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
+            curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu${UBUNTU_VERSION}/x86_64/cuda-keyring_1.1-1_all.deb
         fi
         if [ "arm64" = "$TARGETARCH" ]; then
-            curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/arm64/cuda-keyring_1.1-1_all.deb
+            if [ "${CUDA_MAJOR_VERSION}" = "13" ]; then
+                curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu${UBUNTU_VERSION}/sbsa/cuda-keyring_1.1-1_all.deb
+            else
+                curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu${UBUNTU_VERSION}/arm64/cuda-keyring_1.1-1_all.deb
+            fi
         fi
         dpkg -i cuda-keyring_1.1-1_all.deb && \
         rm -f cuda-keyring_1.1-1_all.deb && \
@@ -65,16 +105,34 @@ RUN <<EOT bash
             libcurand-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
             libcublas-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
             libcusparse-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
-            libcusolver-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} && \
+            libcusolver-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION}
+        if [ "${CUDA_MAJOR_VERSION}" = "13" ] && [ "arm64" = "$TARGETARCH" ]; then
+            apt-get install -y --no-install-recommends \
+            libcufile-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libcudnn9-cuda-${CUDA_MAJOR_VERSION} cuda-cupti-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libnvjitlink-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION}
+        fi
         apt-get clean && \
         rm -rf /var/lib/apt/lists/* && \
-        echo "nvidia" > /run/localai/capability
+        echo "nvidia-cuda-${CUDA_MAJOR_VERSION}" > /run/localai/capability
     fi
 EOT
 
 RUN <<EOT bash
     if [ "${BUILD_TYPE}" = "cublas" ] && [ "${TARGETARCH}" = "arm64" ]; then
-        echo "nvidia-l4t" > /run/localai/capability
+        echo "nvidia-l4t-cuda-${CUDA_MAJOR_VERSION}" > /run/localai/capability
+    fi
+EOT
+
+# https://github.com/NVIDIA/Isaac-GR00T/issues/343
+RUN <<EOT bash
+    if [ "${BUILD_TYPE}" = "cublas" ] && [ "${TARGETARCH}" = "arm64" ]; then
+        wget https://developer.download.nvidia.com/compute/cudss/0.6.0/local_installers/cudss-local-tegra-repo-ubuntu${UBUNTU_VERSION}-0.6.0_0.6.0-1_arm64.deb && \
+        dpkg -i cudss-local-tegra-repo-ubuntu${UBUNTU_VERSION}-0.6.0_0.6.0-1_arm64.deb && \
+        cp /var/cudss-local-tegra-repo-ubuntu${UBUNTU_VERSION}-0.6.0/cudss-*-keyring.gpg /usr/share/keyrings/ && \
+        apt-get update && apt-get -y install cudss cudss-cuda-${CUDA_MAJOR_VERSION} && \
+        wget https://developer.download.nvidia.com/compute/nvpl/25.5/local_installers/nvpl-local-repo-ubuntu${UBUNTU_VERSION}-25.5_1.0-1_arm64.deb && \
+        dpkg -i nvpl-local-repo-ubuntu${UBUNTU_VERSION}-25.5_1.0-1_arm64.deb && \
+        cp /var/nvpl-local-repo-ubuntu${UBUNTU_VERSION}-25.5/nvpl-*-keyring.gpg /usr/share/keyrings/ && \
+        apt-get update && apt-get install -y nvpl
     fi
 EOT
 
@@ -100,6 +158,10 @@ RUN if [ "${BUILD_TYPE}" = "hipblas" ] && [ "${SKIP_DRIVERS}" = "false" ]; then
         ldconfig \
     ; fi
 
+RUN if [ "${BUILD_TYPE}" = "hipblas" ]; then \
+    ln -s /opt/rocm-**/lib/llvm/lib/libomp.so /usr/lib/libomp.so \
+    ; fi
+
 RUN expr "${BUILD_TYPE}" = intel && echo "intel" > /run/localai/capability || echo "not intel"
 
 # Cuda
@@ -114,13 +176,12 @@ ENV PATH=/opt/rocm/bin:${PATH}
 # The requirements-core target is common to all images.  It should not be placed in requirements-core unless every single build will use it.
 FROM requirements-drivers AS build-requirements
 
-ARG GO_VERSION=1.22.6
-ARG CMAKE_VERSION=3.26.4
+ARG GO_VERSION=1.26.0
+ARG CMAKE_VERSION=3.31.10
 ARG CMAKE_FROM_SOURCE=false
 ARG TARGETARCH
 ARG TARGETVARIANT
 
-
 RUN apt-get update && \
     apt-get install -y --no-install-recommends \
         build-essential \
@@ -129,6 +190,7 @@ RUN apt-get update && \
         curl libssl-dev \
         git \
         git-lfs \
+        libopus-dev pkg-config \
         unzip upx-ucl python3 python-is-python3 && \
     apt-get clean && \
     rm -rf /var/lib/apt/lists/*
@@ -157,14 +219,6 @@ RUN go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.2 && \
 COPY --chmod=644 custom-ca-certs/* /usr/local/share/ca-certificates/
 RUN update-ca-certificates
 
-
-# OpenBLAS requirements and stable diffusion
-RUN apt-get update && \
-    apt-get install -y --no-install-recommends \
-        libopenblas-dev && \
-    apt-get clean && \
-    rm -rf /var/lib/apt/lists/*
-
 RUN test -n "$TARGETARCH" \
     || (echo 'warn: missing $TARGETARCH, either set this `ARG` manually, or run using `docker buildkit`')
 
@@ -185,9 +239,10 @@ WORKDIR /build
 # https://community.intel.com/t5/Intel-oneAPI-Math-Kernel-Library/APT-Repository-not-working-signatures-invalid/m-p/1599436/highlight/true#M36143
 # This is a temporary workaround until Intel fixes their repository
 FROM ${INTEL_BASE_IMAGE} AS intel
+ARG UBUNTU_CODENAME=noble
 RUN wget -qO - https://repositories.intel.com/gpu/intel-graphics.key | \
 gpg --yes --dearmor --output /usr/share/keyrings/intel-graphics.gpg
-RUN echo "deb [arch=amd64 signed-by=/usr/share/keyrings/intel-graphics.gpg] https://repositories.intel.com/gpu/ubuntu jammy/lts/2350 unified" > /etc/apt/sources.list.d/intel-graphics.list
+RUN echo "deb [arch=amd64 signed-by=/usr/share/keyrings/intel-graphics.gpg] https://repositories.intel.com/gpu/ubuntu ${UBUNTU_CODENAME}/lts/2350 unified" > /etc/apt/sources.list.d/intel-graphics.list
 RUN apt-get update && \
     apt-get install -y --no-install-recommends \
         intel-oneapi-runtime-libs && \
@@ -201,7 +256,7 @@ RUN apt-get update && \
 
 FROM build-requirements AS builder-base
 
-ARG GO_TAGS=""
+ARG GO_TAGS="auth"
 ARG GRPC_BACKENDS
 ARG MAKEFLAGS
 ARG LD_FLAGS="-s -w"
@@ -237,6 +292,17 @@ EOT
 ###################################
 ###################################
 
+# Build React UI
+FROM node:25-slim AS react-ui-builder
+WORKDIR /app
+COPY core/http/react-ui/package*.json ./
+RUN npm install
+COPY core/http/react-ui/ ./
+RUN npm run build
+
+###################################
+###################################
+
 # Compile backends first in a separate stage
 FROM builder-base AS builder-backends
 ARG TARGETARCH
@@ -253,7 +319,6 @@ COPY ./.git ./.git
 # Some of the Go backends use libs from the main src, we could further optimize the caching by building the CPP backends before here
 COPY ./pkg/grpc ./pkg/grpc
 COPY ./pkg/utils ./pkg/utils
-COPY ./pkg/langchain ./pkg/langchain
 
 RUN ls -l ./
 RUN make protogen-go
@@ -266,6 +331,9 @@ WORKDIR /build
 
 COPY . .
 
+# Copy pre-built React UI
+COPY --from=react-ui-builder /app/dist ./core/http/react-ui/dist
+
 ## Build the binary
 ## If we're on arm64 AND using cublas/hipblas, skip some of the llama-compat backends to save space
 ## Otherwise just run the normal build
@@ -310,14 +378,17 @@ COPY ./entrypoint.sh .
 
 # Copy the binary
 COPY --from=builder /build/local-ai ./
+# Copy the opus shim if it was built
+RUN --mount=from=builder,src=/build/,dst=/mnt/build \
+    if [ -f /mnt/build/libopusshim.so ]; then cp /mnt/build/libopusshim.so ./; fi
 
 # Make sure the models directory exists
-RUN mkdir -p /models /backends
+RUN mkdir -p /models /backends /data
 
 # Define the health check command
 HEALTHCHECK --interval=1m --timeout=10m --retries=10 \
   CMD curl -f ${HEALTHCHECK_ENDPOINT} || exit 1
 
-VOLUME /models /backends
+VOLUME /models /backends /configuration /data
 EXPOSE 8080
 ENTRYPOINT [ "/entrypoint.sh" ]

Dockerfile.aio

@@ -1,8 +0,0 @@
-ARG BASE_IMAGE=ubuntu:22.04
-
-FROM ${BASE_IMAGE} 
-
-RUN apt-get update && apt-get install -y pciutils && apt-get clean
-
-COPY aio/ /aio
-ENTRYPOINT [ "/aio/entrypoint.sh" ]

Makefile

@@ -1,11 +1,20 @@
+# Disable parallel execution for backend builds
+.NOTPARALLEL: backends/diffusers backends/llama-cpp backends/turboquant backends/outetts backends/piper backends/stablediffusion-ggml backends/whisper backends/faster-whisper backends/silero-vad backends/local-store backends/huggingface backends/rfdetr backends/kitten-tts backends/kokoro backends/chatterbox backends/llama-cpp-darwin backends/neutts build-darwin-python-backend build-darwin-go-backend backends/mlx backends/diffuser-darwin backends/mlx-vlm backends/mlx-audio backends/mlx-distributed backends/stablediffusion-ggml-darwin backends/vllm backends/vllm-omni backends/sglang backends/moonshine backends/pocket-tts backends/qwen-tts backends/faster-qwen3-tts backends/qwen-asr backends/nemo backends/voxcpm backends/whisperx backends/ace-step backends/acestep-cpp backends/fish-speech backends/voxtral backends/opus backends/trl backends/llama-cpp-quantization backends/kokoros backends/sam3-cpp backends/qwen3-tts-cpp backends/tinygrad
+
 GOCMD=go
 GOTEST=$(GOCMD) test
 GOVET=$(GOCMD) vet
 BINARY_NAME=local-ai
+LAUNCHER_BINARY_NAME=local-ai-launcher
+
+UBUNTU_VERSION?=2404
+UBUNTU_CODENAME?=noble
 
 GORELEASER?=
 
 export BUILD_TYPE?=
+export CUDA_MAJOR_VERSION?=13
+export CUDA_MINOR_VERSION?=0
 
 GO_TAGS?=
 BUILD_ID?=
@@ -82,15 +91,44 @@ install-go-tools:
 	go install google.golang.org/grpc/cmd/protoc-gen-go-grpc@1958fcbe2ca8bd93af633f11e97d44e567e945af
 	go install google.golang.org/protobuf/cmd/protoc-gen-go@v1.34.2
 
+## React UI:
+react-ui:
+ifneq ($(wildcard core/http/react-ui/dist),)
+	@echo "react-ui dist already exists, skipping build"
+else
+	cd core/http/react-ui && npm install && npm run build
+endif
+
+react-ui-docker:
+	docker run --entrypoint /bin/bash -v $(CURDIR):/app:z oven/bun:1 \
+	  -c "cd /app/core/http/react-ui && bun install && bun run build"
+
+core/http/react-ui/dist: react-ui
+
 ## Build:
-build: protogen-go install-go-tools ## Build the project
+
+build: protogen-go generate install-go-tools core/http/react-ui/dist ## Build the project
 	$(info ${GREEN}I local-ai build info:${RESET})
 	$(info ${GREEN}I BUILD_TYPE: ${YELLOW}$(BUILD_TYPE)${RESET})
 	$(info ${GREEN}I GO_TAGS: ${YELLOW}$(GO_TAGS)${RESET})
 	$(info ${GREEN}I LD_FLAGS: ${YELLOW}$(LD_FLAGS)${RESET})
 	$(info ${GREEN}I UPX: ${YELLOW}$(UPX)${RESET})
 	rm -rf $(BINARY_NAME) || true
-	CGO_LDFLAGS="$(CGO_LDFLAGS)" $(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o $(BINARY_NAME) ./
+	CGO_LDFLAGS="$(CGO_LDFLAGS)" $(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o $(BINARY_NAME) ./cmd/local-ai
+
+build-launcher: ## Build the launcher application
+	$(info ${GREEN}I local-ai launcher build info:${RESET})
+	$(info ${GREEN}I BUILD_TYPE: ${YELLOW}$(BUILD_TYPE)${RESET})
+	$(info ${GREEN}I GO_TAGS: ${YELLOW}$(GO_TAGS)${RESET})
+	$(info ${GREEN}I LD_FLAGS: ${YELLOW}$(LD_FLAGS)${RESET})
+	rm -rf $(LAUNCHER_BINARY_NAME) || true
+	CGO_LDFLAGS="$(CGO_LDFLAGS)" $(GOCMD) build -ldflags "$(LD_FLAGS)" -tags "$(GO_TAGS)" -o $(LAUNCHER_BINARY_NAME) ./cmd/launcher
+
+build-all: build build-launcher ## Build both server and launcher
+
+build-dev: ## Run LocalAI in dev mode with live reload
+	@command -v air >/dev/null 2>&1 || go install github.com/air-verse/air@latest
+	air -c .air.toml
 
 dev-dist:
 	$(GORELEASER) build --snapshot --clean
@@ -106,11 +144,10 @@ run: ## run local-ai
 	CGO_LDFLAGS="$(CGO_LDFLAGS)" $(GOCMD) run ./
 
 test-models/testmodel.ggml:
-	mkdir test-models
-	mkdir test-dir
+	mkdir -p test-models
+	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
 
@@ -126,58 +163,35 @@ test: test-models/testmodel.ggml protogen-go
 	@echo 'Running tests'
 	export GO_TAGS="debug"
 	$(MAKE) prepare-test
+	OPUS_SHIM_LIBRARY=$(abspath ./pkg/opus/shim/libopusshim.so) \
 	HUGGINGFACE_GRPC=$(abspath ./)/backend/python/transformers/run.sh TEST_DIR=$(abspath ./)/test-dir/ FIXTURES=$(abspath ./)/tests/fixtures CONFIG_FILE=$(abspath ./)/test-models/config.yaml MODELS_PATH=$(abspath ./)/test-models BACKENDS_PATH=$(abspath ./)/backends \
 	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="!llama-gguf"  --flake-attempts $(TEST_FLAKES) --fail-fast -v -r $(TEST_PATHS)
 	$(MAKE) test-llama-gguf
 	$(MAKE) test-tts
 	$(MAKE) test-stablediffusion
 
-backends/diffusers: docker-build-diffusers docker-save-diffusers build
-	./local-ai backends install "ocifile://$(abspath ./backend-images/diffusers.tar)"
-
-backends/llama-cpp: docker-build-llama-cpp docker-save-llama-cpp build
-	./local-ai backends install "ocifile://$(abspath ./backend-images/llama-cpp.tar)"
-
-backends/piper: docker-build-piper docker-save-piper build
-	./local-ai backends install "ocifile://$(abspath ./backend-images/piper.tar)"
-
-backends/stablediffusion-ggml: docker-build-stablediffusion-ggml docker-save-stablediffusion-ggml build
-	./local-ai backends install "ocifile://$(abspath ./backend-images/stablediffusion-ggml.tar)"
-
-backends/whisper: docker-build-whisper docker-save-whisper build
-	./local-ai backends install "ocifile://$(abspath ./backend-images/whisper.tar)"
-
-backends/silero-vad: docker-build-silero-vad docker-save-silero-vad build
-	./local-ai backends install "ocifile://$(abspath ./backend-images/silero-vad.tar)"
-
-backends/local-store: docker-build-local-store docker-save-local-store build
-	./local-ai backends install "ocifile://$(abspath ./backend-images/local-store.tar)"
-
-backends/huggingface: docker-build-huggingface docker-save-huggingface build
-	./local-ai backends install "ocifile://$(abspath ./backend-images/huggingface.tar)"
-
-backends/rfdetr: docker-build-rfdetr docker-save-rfdetr build
-	./local-ai backends install "ocifile://$(abspath ./backend-images/rfdetr.tar)"
-
-backends/kitten-tts: docker-build-kitten-tts docker-save-kitten-tts build
-	./local-ai backends install "ocifile://$(abspath ./backend-images/kitten-tts.tar)"
-
-backends/kokoro: docker-build-kokoro docker-save-kokoro build
-	./local-ai backends install "ocifile://$(abspath ./backend-images/kokoro.tar)"
-
 ########################################################
-## AIO tests
+## E2E AIO tests (uses standard image with pre-configured models)
 ########################################################
 
-docker-build-aio:
-	docker build --build-arg MAKEFLAGS="--jobs=5 --output-sync=target" -t local-ai:tests -f Dockerfile .
-	BASE_IMAGE=local-ai:tests DOCKER_AIO_IMAGE=local-ai-aio:test $(MAKE) docker-aio
+docker-build-e2e:
+	docker build \
+		--build-arg MAKEFLAGS="--jobs=5 --output-sync=target" \
+		--build-arg BASE_IMAGE=$(BASE_IMAGE) \
+		--build-arg IMAGE_TYPE=$(IMAGE_TYPE) \
+		--build-arg BUILD_TYPE=$(BUILD_TYPE) \
+		--build-arg CUDA_MAJOR_VERSION=$(CUDA_MAJOR_VERSION) \
+		--build-arg CUDA_MINOR_VERSION=$(CUDA_MINOR_VERSION) \
+		--build-arg UBUNTU_VERSION=$(UBUNTU_VERSION) \
+		--build-arg UBUNTU_CODENAME=$(UBUNTU_CODENAME) \
+		--build-arg GO_TAGS="$(GO_TAGS)" \
+		-t local-ai:tests -f Dockerfile .
 
 e2e-aio:
 	LOCALAI_BACKEND_DIR=$(abspath ./backends) \
-	LOCALAI_MODELS_DIR=$(abspath ./models) \
-	LOCALAI_IMAGE_TAG=test \
-	LOCALAI_IMAGE=local-ai-aio \
+	LOCALAI_MODELS_DIR=$(abspath ./tests/e2e-aio/models) \
+	LOCALAI_IMAGE_TAG=tests \
+	LOCALAI_IMAGE=local-ai \
 	$(MAKE) run-e2e-aio
 
 run-e2e-aio: protogen-go
@@ -189,20 +203,29 @@ run-e2e-aio: protogen-go
 ########################################################
 
 prepare-e2e:
-	mkdir -p $(TEST_DIR)
-	cp -rfv $(abspath ./tests/e2e-fixtures)/gpu.yaml $(TEST_DIR)/gpu.yaml
-	test -e $(TEST_DIR)/ggllm-test-model.bin || wget -q https://huggingface.co/TheBloke/CodeLlama-7B-Instruct-GGUF/resolve/main/codellama-7b-instruct.Q2_K.gguf -O $(TEST_DIR)/ggllm-test-model.bin
-	docker build --build-arg IMAGE_TYPE=core --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg CUDA_MAJOR_VERSION=12 --build-arg CUDA_MINOR_VERSION=0 -t localai-tests .
+	docker build \
+		--build-arg IMAGE_TYPE=core \
+		--build-arg BUILD_TYPE=$(BUILD_TYPE) \
+		--build-arg BASE_IMAGE=$(BASE_IMAGE) \
+		--build-arg CUDA_MAJOR_VERSION=$(CUDA_MAJOR_VERSION) \
+		--build-arg CUDA_MINOR_VERSION=$(CUDA_MINOR_VERSION) \
+		--build-arg UBUNTU_VERSION=$(UBUNTU_VERSION) \
+		--build-arg UBUNTU_CODENAME=$(UBUNTU_CODENAME) \
+		--build-arg GO_TAGS="$(GO_TAGS)" \
+		--build-arg MAKEFLAGS="$(DOCKER_MAKEFLAGS)" \
+		-t localai-tests .
 
 run-e2e-image:
-	ls -liah $(abspath ./tests/e2e-fixtures)
-	docker run -p 5390:8080 -e MODELS_PATH=/models -e THREADS=1 -e DEBUG=true -d --rm -v $(TEST_DIR):/models --gpus all --name e2e-tests-$(RANDOM) localai-tests
+	docker run -p 5390:8080 -e MODELS_PATH=/models -e THREADS=1 -e DEBUG=true -d --rm -v $(TEST_DIR):/models --name e2e-tests-$(RANDOM) localai-tests
 
-test-e2e:
+test-e2e: build-mock-backend prepare-e2e run-e2e-image
 	@echo 'Running e2e tests'
 	BUILD_TYPE=$(BUILD_TYPE) \
-	LOCALAI_API=http://$(E2E_BRIDGE_IP):5390/v1 \
+	LOCALAI_API=http://$(E2E_BRIDGE_IP):5390 \
 	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --flake-attempts $(TEST_FLAKES) -v -r ./tests/e2e
+	$(MAKE) clean-mock-backend
+	$(MAKE) teardown-e2e
+	docker rmi localai-tests
 
 teardown-e2e:
 	rm -rf $(TEST_DIR) || true
@@ -227,6 +250,88 @@ test-stablediffusion: prepare-test
 test-stores:
 	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="stores" --flake-attempts $(TEST_FLAKES) -v -r tests/integration
 
+test-opus:
+	@echo 'Running opus backend tests'
+	$(MAKE) -C backend/go/opus libopusshim.so
+	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --flake-attempts $(TEST_FLAKES) -v -r ./backend/go/opus/...
+
+test-opus-docker:
+	@echo 'Running opus backend tests in Docker'
+	docker build --target builder \
+	  --build-arg BUILD_TYPE=$(or $(BUILD_TYPE),) \
+	  --build-arg BASE_IMAGE=$(or $(BASE_IMAGE),ubuntu:24.04) \
+	  --build-arg BACKEND=opus \
+	  -t localai-opus-test -f backend/Dockerfile.golang .
+	docker run --rm localai-opus-test \
+	  bash -c 'cd /LocalAI && go run github.com/onsi/ginkgo/v2/ginkgo --flake-attempts $(TEST_FLAKES) -v -r ./backend/go/opus/...'
+
+test-realtime: build-mock-backend
+	@echo 'Running realtime e2e tests (mock backend)'
+	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="Realtime && !real-models" --flake-attempts $(TEST_FLAKES) -v -r ./tests/e2e
+
+# Real-model realtime tests. Set REALTIME_TEST_MODEL to use your own pipeline,
+# or leave unset to auto-build one from the component env vars below.
+REALTIME_VAD?=silero-vad-ggml
+REALTIME_STT?=whisper-1
+REALTIME_LLM?=qwen3-0.6b
+REALTIME_TTS?=tts-1
+REALTIME_BACKENDS_PATH?=$(abspath ./)/backends
+
+test-realtime-models: build-mock-backend
+	@echo 'Running realtime e2e tests (real models)'
+	REALTIME_TEST_MODEL=$${REALTIME_TEST_MODEL:-realtime-test-pipeline} \
+	REALTIME_VAD=$(REALTIME_VAD) \
+	REALTIME_STT=$(REALTIME_STT) \
+	REALTIME_LLM=$(REALTIME_LLM) \
+	REALTIME_TTS=$(REALTIME_TTS) \
+	REALTIME_BACKENDS_PATH=$(REALTIME_BACKENDS_PATH) \
+	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --label-filter="Realtime" --flake-attempts $(TEST_FLAKES) -v -r ./tests/e2e
+
+# --- Container-based real-model testing ---
+
+REALTIME_BACKEND_NAMES ?= silero-vad whisper llama-cpp kokoro
+REALTIME_MODELS_DIR ?= $(abspath ./models)
+REALTIME_BACKENDS_DIR ?= $(abspath ./local-backends)
+REALTIME_DOCKER_FLAGS ?= --gpus all
+
+local-backends:
+	mkdir -p local-backends
+
+extract-backend-%: docker-build-% local-backends
+	@echo "Extracting backend $*..."
+	@CID=$$(docker create local-ai-backend:$*) && \
+	  rm -rf local-backends/$* && mkdir -p local-backends/$* && \
+	  docker cp $$CID:/ - | tar -xf - -C local-backends/$* && \
+	  docker rm $$CID > /dev/null
+
+extract-realtime-backends: $(addprefix extract-backend-,$(REALTIME_BACKEND_NAMES))
+
+test-realtime-models-docker: build-mock-backend
+	docker build --target build-requirements \
+	  --build-arg BUILD_TYPE=$(or $(BUILD_TYPE),cublas) \
+	  --build-arg CUDA_MAJOR_VERSION=$(or $(CUDA_MAJOR_VERSION),13) \
+	  --build-arg CUDA_MINOR_VERSION=$(or $(CUDA_MINOR_VERSION),0) \
+	  -t localai-test-runner .
+	docker run --rm \
+	  $(REALTIME_DOCKER_FLAGS) \
+	  -v $(abspath ./):/build \
+	  -v $(REALTIME_MODELS_DIR):/models:ro \
+	  -v $(REALTIME_BACKENDS_DIR):/backends \
+	  -v localai-go-cache:/root/go/pkg/mod \
+	  -v localai-go-build-cache:/root/.cache/go-build \
+	  -e REALTIME_TEST_MODEL=$${REALTIME_TEST_MODEL:-realtime-test-pipeline} \
+	  -e REALTIME_VAD=$(REALTIME_VAD) \
+	  -e REALTIME_STT=$(REALTIME_STT) \
+	  -e REALTIME_LLM=$(REALTIME_LLM) \
+	  -e REALTIME_TTS=$(REALTIME_TTS) \
+	  -e REALTIME_BACKENDS_PATH=/backends \
+	  -e REALTIME_MODELS_PATH=/models \
+	  -w /build \
+	  localai-test-runner \
+	  bash -c 'git config --global --add safe.directory /build && \
+	    make protogen-go && make build-mock-backend && \
+	    go run github.com/onsi/ginkgo/v2/ginkgo --label-filter="Realtime" --flake-attempts $(TEST_FLAKES) -v -r ./tests/e2e'
+
 test-container:
 	docker build --target requirements -t local-ai-test-container .
 	docker run -ti --rm --entrypoint /bin/bash -ti -v $(abspath ./):/build local-ai-test-container
@@ -283,7 +388,7 @@ protoc:
 	  echo "Unsupported OS: $$OS_NAME"; exit 1; \
 	fi; \
 	URL=https://github.com/protocolbuffers/protobuf/releases/download/v31.1/$$FILE; \
-	curl -L -s $$URL -o protoc.zip && \
+	curl -L $$URL -o protoc.zip && \
 	unzip -j -d $(CURDIR) protoc.zip bin/protoc && rm protoc.zip
 
 .PHONY: protogen-go
@@ -292,6 +397,16 @@ protogen-go: protoc install-go-tools
 	./protoc --experimental_allow_proto3_optional -Ibackend/ --go_out=pkg/grpc/proto/ --go_opt=paths=source_relative --go-grpc_out=pkg/grpc/proto/ --go-grpc_opt=paths=source_relative \
     backend/backend.proto
 
+core/config/inference_defaults.json: ## Fetch inference defaults from unsloth (only if missing)
+	$(GOCMD) generate ./core/config/...
+
+.PHONY: generate
+generate: core/config/inference_defaults.json ## Ensure inference defaults exist
+
+.PHONY: generate-force
+generate-force: ## Re-fetch inference defaults from unsloth (always)
+	$(GOCMD) generate ./core/config/...
+
 .PHONY: protogen-go-clean
 protogen-go-clean:
 	$(RM) pkg/grpc/proto/backend.pb.go pkg/grpc/proto/backend_grpc.pb.go
@@ -299,20 +414,225 @@ protogen-go-clean:
 
 prepare-test-extra: protogen-python
 	$(MAKE) -C backend/python/transformers
+	$(MAKE) -C backend/python/outetts
 	$(MAKE) -C backend/python/diffusers
 	$(MAKE) -C backend/python/chatterbox
 	$(MAKE) -C backend/python/vllm
+	$(MAKE) -C backend/python/vllm-omni
+	$(MAKE) -C backend/python/sglang
+	$(MAKE) -C backend/python/vibevoice
+	$(MAKE) -C backend/python/moonshine
+	$(MAKE) -C backend/python/pocket-tts
+	$(MAKE) -C backend/python/qwen-tts
+	$(MAKE) -C backend/python/fish-speech
+	$(MAKE) -C backend/python/faster-qwen3-tts
+	$(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/python/tinygrad
+	$(MAKE) -C backend/rust/kokoros kokoros-grpc
 
 test-extra: prepare-test-extra
 	$(MAKE) -C backend/python/transformers test
+	$(MAKE) -C backend/python/outetts test
 	$(MAKE) -C backend/python/diffusers test
 	$(MAKE) -C backend/python/chatterbox test
 	$(MAKE) -C backend/python/vllm test
+	$(MAKE) -C backend/python/vllm-omni test
+	$(MAKE) -C backend/python/vibevoice test
+	$(MAKE) -C backend/python/moonshine test
+	$(MAKE) -C backend/python/pocket-tts test
+	$(MAKE) -C backend/python/qwen-tts test
+	$(MAKE) -C backend/python/fish-speech test
+	$(MAKE) -C backend/python/faster-qwen3-tts test
+	$(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/python/tinygrad test
+	$(MAKE) -C backend/rust/kokoros test
+
+##
+## End-to-end gRPC tests that exercise a built backend container image.
+##
+## The test suite in tests/e2e-backends is backend-agnostic. You drive it via env
+## vars (see tests/e2e-backends/backend_test.go for the full list) and the
+## capability-driven harness picks which gRPC RPCs to exercise:
+##
+##   BACKEND_IMAGE            Required. Docker image to test, e.g. local-ai-backend:llama-cpp.
+##   BACKEND_TEST_MODEL_URL   URL of a model file to download and load.
+##   BACKEND_TEST_MODEL_FILE  Path to an already-downloaded model (skips download).
+##   BACKEND_TEST_MODEL_NAME  HuggingFace repo id (e.g. Qwen/Qwen2.5-0.5B-Instruct).
+##                            Use this instead of MODEL_URL for backends that
+##                            resolve HF model ids natively (vllm, vllm-omni).
+##   BACKEND_TEST_CAPS        Comma-separated capabilities, default "health,load,predict,stream".
+##                            Adds "tools" to exercise ChatDelta tool call extraction.
+##   BACKEND_TEST_PROMPT      Override the prompt used in predict/stream specs.
+##   BACKEND_TEST_OPTIONS     Comma-separated Options[] entries forwarded to LoadModel,
+##                            e.g. "tool_parser:hermes,reasoning_parser:qwen3".
+##
+## Direct usage (image already built, no docker-build-* dependency):
+##
+##   make test-extra-backend BACKEND_IMAGE=local-ai-backend:llama-cpp \
+##       BACKEND_TEST_MODEL_URL=https://.../model.gguf
+##
+## Convenience wrappers below build a specific backend image first, then run the
+## suite against it.
+##
+BACKEND_TEST_MODEL_URL?=https://huggingface.co/Qwen/Qwen3-0.6B-GGUF/resolve/main/Qwen3-0.6B-Q8_0.gguf
+
+## Generic target — runs the suite against whatever BACKEND_IMAGE points at.
+## Depends on protogen-go so pkg/grpc/proto is generated before `go test`.
+test-extra-backend: protogen-go
+	@test -n "$$BACKEND_IMAGE" || { echo "BACKEND_IMAGE must be set" >&2; exit 1; }
+	BACKEND_IMAGE="$$BACKEND_IMAGE" \
+	BACKEND_TEST_MODEL_URL="$${BACKEND_TEST_MODEL_URL:-$(BACKEND_TEST_MODEL_URL)}" \
+	BACKEND_TEST_MODEL_FILE="$$BACKEND_TEST_MODEL_FILE" \
+	BACKEND_TEST_MODEL_NAME="$$BACKEND_TEST_MODEL_NAME" \
+	BACKEND_TEST_MMPROJ_URL="$$BACKEND_TEST_MMPROJ_URL" \
+	BACKEND_TEST_MMPROJ_FILE="$$BACKEND_TEST_MMPROJ_FILE" \
+	BACKEND_TEST_AUDIO_URL="$$BACKEND_TEST_AUDIO_URL" \
+	BACKEND_TEST_AUDIO_FILE="$$BACKEND_TEST_AUDIO_FILE" \
+	BACKEND_TEST_CAPS="$$BACKEND_TEST_CAPS" \
+	BACKEND_TEST_PROMPT="$$BACKEND_TEST_PROMPT" \
+	BACKEND_TEST_OPTIONS="$$BACKEND_TEST_OPTIONS" \
+	BACKEND_TEST_TOOL_PROMPT="$$BACKEND_TEST_TOOL_PROMPT" \
+	BACKEND_TEST_TOOL_NAME="$$BACKEND_TEST_TOOL_NAME" \
+	BACKEND_TEST_CACHE_TYPE_K="$$BACKEND_TEST_CACHE_TYPE_K" \
+	BACKEND_TEST_CACHE_TYPE_V="$$BACKEND_TEST_CACHE_TYPE_V" \
+	go test -v -timeout 30m ./tests/e2e-backends/...
+
+## Convenience wrappers: build the image, then exercise it.
+test-extra-backend-llama-cpp: docker-build-llama-cpp
+	BACKEND_IMAGE=local-ai-backend:llama-cpp $(MAKE) test-extra-backend
+
+test-extra-backend-ik-llama-cpp: docker-build-ik-llama-cpp
+	BACKEND_IMAGE=local-ai-backend:ik-llama-cpp $(MAKE) test-extra-backend
+
+## turboquant: exercises the llama.cpp-fork backend with the fork's
+## *TurboQuant-specific* KV-cache types (turbo3 for both K and V). turbo3
+## is what makes this backend distinct from stock llama-cpp — picking q8_0
+## here would only test the standard llama.cpp code path that the upstream
+## llama-cpp backend already covers. The fork auto-enables flash_attention
+## when turbo3/turbo4 are active, so we don't need to set it explicitly.
+test-extra-backend-turboquant: docker-build-turboquant
+	BACKEND_IMAGE=local-ai-backend:turboquant \
+	BACKEND_TEST_CACHE_TYPE_K=q8_0 \
+	BACKEND_TEST_CACHE_TYPE_V=turbo3 \
+	$(MAKE) test-extra-backend
+
+## Audio transcription wrapper for the llama-cpp backend.
+## Drives the new AudioTranscription / AudioTranscriptionStream RPCs against
+## ggml-org/Qwen3-ASR-0.6B-GGUF (a small ASR model that requires its mmproj
+## audio encoder companion). The audio fixture is a short public-domain
+## "jfk.wav" clip ggml-org bundles with whisper.cpp's CI assets.
+test-extra-backend-llama-cpp-transcription: docker-build-llama-cpp
+	BACKEND_IMAGE=local-ai-backend:llama-cpp \
+	BACKEND_TEST_MODEL_URL=https://huggingface.co/ggml-org/Qwen3-ASR-0.6B-GGUF/resolve/main/Qwen3-ASR-0.6B-Q8_0.gguf \
+	BACKEND_TEST_MMPROJ_URL=https://huggingface.co/ggml-org/Qwen3-ASR-0.6B-GGUF/resolve/main/mmproj-Qwen3-ASR-0.6B-Q8_0.gguf \
+	BACKEND_TEST_AUDIO_URL=https://github.com/ggml-org/whisper.cpp/raw/master/samples/jfk.wav \
+	BACKEND_TEST_CAPS=health,load,transcription \
+	$(MAKE) test-extra-backend
+
+## vllm is resolved from a HuggingFace model id (no file download) and
+## exercises Predict + streaming + tool-call extraction via the hermes parser.
+## Requires a host CPU with the SIMD instructions the prebuilt vllm CPU
+## wheel was compiled against (AVX-512 VNNI/BF16); older CPUs will SIGILL
+## on import — on CI this means using the bigger-runner label.
+test-extra-backend-vllm: docker-build-vllm
+	BACKEND_IMAGE=local-ai-backend:vllm \
+	BACKEND_TEST_MODEL_NAME=Qwen/Qwen2.5-0.5B-Instruct \
+	BACKEND_TEST_CAPS=health,load,predict,stream,tools \
+	BACKEND_TEST_OPTIONS=tool_parser:hermes \
+	$(MAKE) test-extra-backend
+
+## tinygrad mirrors the vllm target (same model, same caps, same parser) so
+## the two backends are directly comparable. The LLM path covers Predict,
+## streaming and native tool-call extraction. Companion targets below cover
+## embeddings, Stable Diffusion and Whisper — run them individually or via
+## the `test-extra-backend-tinygrad-all` aggregate.
+test-extra-backend-tinygrad: docker-build-tinygrad
+	BACKEND_IMAGE=local-ai-backend:tinygrad \
+	BACKEND_TEST_MODEL_NAME=Qwen/Qwen3-0.6B \
+	BACKEND_TEST_CAPS=health,load,predict,stream,tools \
+	BACKEND_TEST_OPTIONS=tool_parser:hermes \
+	$(MAKE) test-extra-backend
+
+## tinygrad — embeddings via LLM last-hidden-state pooling. Reuses the same
+## Qwen3-0.6B as the chat target so we don't need a separate BERT vendor;
+## the Embedding RPC mean-pools and L2-normalizes the last-layer hidden
+## state.
+test-extra-backend-tinygrad-embeddings: docker-build-tinygrad
+	BACKEND_IMAGE=local-ai-backend:tinygrad \
+	BACKEND_TEST_MODEL_NAME=Qwen/Qwen3-0.6B \
+	BACKEND_TEST_CAPS=health,load,embeddings \
+	$(MAKE) test-extra-backend
+
+## tinygrad — Stable Diffusion 1.5. The original CompVis/runwayml repos have
+## been gated, so we use the community-maintained mirror at
+## stable-diffusion-v1-5/stable-diffusion-v1-5 with the EMA-only pruned
+## checkpoint (~4.3GB). Step count is kept low (4) so a CPU-only run finishes
+## in a few minutes; bump BACKEND_TEST_IMAGE_STEPS for higher quality.
+test-extra-backend-tinygrad-sd: docker-build-tinygrad
+	BACKEND_IMAGE=local-ai-backend:tinygrad \
+	BACKEND_TEST_MODEL_NAME=stable-diffusion-v1-5/stable-diffusion-v1-5 \
+	BACKEND_TEST_CAPS=health,load,image \
+	$(MAKE) test-extra-backend
+
+## tinygrad — Whisper. Loads OpenAI's tiny.en checkpoint (smallest at ~75MB)
+## from the original azure CDN through tinygrad's `fetch` helper, and
+## transcribes the canonical jfk.wav fixture from whisper.cpp's CI samples.
+## Exercises both AudioTranscription and AudioTranscriptionStream.
+test-extra-backend-tinygrad-whisper: docker-build-tinygrad
+	BACKEND_IMAGE=local-ai-backend:tinygrad \
+	BACKEND_TEST_MODEL_NAME=openai/whisper-tiny.en \
+	BACKEND_TEST_AUDIO_URL=https://github.com/ggml-org/whisper.cpp/raw/master/samples/jfk.wav \
+	BACKEND_TEST_CAPS=health,load,transcription \
+	$(MAKE) test-extra-backend
+
+test-extra-backend-tinygrad-all: \
+	test-extra-backend-tinygrad \
+	test-extra-backend-tinygrad-embeddings \
+	test-extra-backend-tinygrad-sd \
+	test-extra-backend-tinygrad-whisper
+
+## sglang mirrors the vllm setup: HuggingFace model id, same tiny Qwen,
+## tool-call extraction via sglang's native qwen parser. CPU builds use
+## sglang's upstream pyproject_cpu.toml recipe (see backend/python/sglang/install.sh).
+test-extra-backend-sglang: docker-build-sglang
+	BACKEND_IMAGE=local-ai-backend:sglang \
+	BACKEND_TEST_MODEL_NAME=Qwen/Qwen2.5-0.5B-Instruct \
+	BACKEND_TEST_CAPS=health,load,predict,stream,tools \
+	BACKEND_TEST_OPTIONS=tool_parser:qwen \
+	$(MAKE) test-extra-backend
+
+
+## mlx is Apple-Silicon-first — the MLX backend auto-detects the right tool
+## parser from the chat template, so no tool_parser: option is needed (it
+## would be ignored at runtime). Run this on macOS / arm64 with Metal; the
+## Linux/CPU mlx variant is untested in CI.
+test-extra-backend-mlx: docker-build-mlx
+	BACKEND_IMAGE=local-ai-backend:mlx \
+	BACKEND_TEST_MODEL_NAME=mlx-community/Qwen2.5-0.5B-Instruct-4bit \
+	BACKEND_TEST_CAPS=health,load,predict,stream,tools \
+	$(MAKE) test-extra-backend
+
+test-extra-backend-mlx-vlm: docker-build-mlx-vlm
+	BACKEND_IMAGE=local-ai-backend:mlx-vlm \
+	BACKEND_TEST_MODEL_NAME=mlx-community/Qwen2.5-0.5B-Instruct-4bit \
+	BACKEND_TEST_CAPS=health,load,predict,stream,tools \
+	$(MAKE) test-extra-backend
 
 DOCKER_IMAGE?=local-ai
-DOCKER_AIO_IMAGE?=local-ai-aio
 IMAGE_TYPE?=core
-BASE_IMAGE?=ubuntu:22.04
+BASE_IMAGE?=ubuntu:24.04
 
 docker:
 	docker build \
@@ -321,142 +641,246 @@ docker:
 		--build-arg GO_TAGS="$(GO_TAGS)" \
 		--build-arg MAKEFLAGS="$(DOCKER_MAKEFLAGS)" \
 		--build-arg BUILD_TYPE=$(BUILD_TYPE) \
+		--build-arg CUDA_MAJOR_VERSION=$(CUDA_MAJOR_VERSION) \
+		--build-arg CUDA_MINOR_VERSION=$(CUDA_MINOR_VERSION) \
+		--build-arg UBUNTU_VERSION=$(UBUNTU_VERSION) \
+		--build-arg UBUNTU_CODENAME=$(UBUNTU_CODENAME) \
 		-t $(DOCKER_IMAGE) .
 
-docker-cuda11:
+docker-cuda12:
 	docker build \
-		--build-arg CUDA_MAJOR_VERSION=11 \
-		--build-arg CUDA_MINOR_VERSION=8 \
+		--build-arg CUDA_MAJOR_VERSION=${CUDA_MAJOR_VERSION} \
+		--build-arg CUDA_MINOR_VERSION=${CUDA_MINOR_VERSION} \
 		--build-arg BASE_IMAGE=$(BASE_IMAGE) \
 		--build-arg IMAGE_TYPE=$(IMAGE_TYPE) \
 		--build-arg GO_TAGS="$(GO_TAGS)" \
 		--build-arg MAKEFLAGS="$(DOCKER_MAKEFLAGS)" \
 		--build-arg BUILD_TYPE=$(BUILD_TYPE) \
-		-t $(DOCKER_IMAGE)-cuda-11 .
-
-docker-aio:
-	@echo "Building AIO image with base $(BASE_IMAGE) as $(DOCKER_AIO_IMAGE)"
-	docker build \
-		--build-arg BASE_IMAGE=$(BASE_IMAGE) \
-		--build-arg MAKEFLAGS="$(DOCKER_MAKEFLAGS)" \
-		-t $(DOCKER_AIO_IMAGE) -f Dockerfile.aio .
-
-docker-aio-all:
-	$(MAKE) docker-aio DOCKER_AIO_SIZE=cpu
-	$(MAKE) docker-aio DOCKER_AIO_SIZE=cpu
+		--build-arg UBUNTU_VERSION=$(UBUNTU_VERSION) \
+		--build-arg UBUNTU_CODENAME=$(UBUNTU_CODENAME) \
+		-t $(DOCKER_IMAGE)-cuda-12 .
 
 docker-image-intel:
 	docker build \
-		--build-arg BASE_IMAGE=quay.io/go-skynet/intel-oneapi-base:latest \
+		--build-arg BASE_IMAGE=intel/oneapi-basekit:2025.3.0-0-devel-ubuntu24.04 \
 		--build-arg IMAGE_TYPE=$(IMAGE_TYPE) \
 		--build-arg GO_TAGS="$(GO_TAGS)" \
 		--build-arg MAKEFLAGS="$(DOCKER_MAKEFLAGS)" \
-		--build-arg BUILD_TYPE=intel -t $(DOCKER_IMAGE) .
+		--build-arg BUILD_TYPE=intel \
+		--build-arg CUDA_MAJOR_VERSION=$(CUDA_MAJOR_VERSION) \
+		--build-arg CUDA_MINOR_VERSION=$(CUDA_MINOR_VERSION) \
+		--build-arg UBUNTU_VERSION=$(UBUNTU_VERSION) \
+		--build-arg UBUNTU_CODENAME=$(UBUNTU_CODENAME) \
+		-t $(DOCKER_IMAGE) .
 
 ########################################################
 ## Backends
 ########################################################
 
+# Pattern rule for standard backends (docker-based)
+# This matches all backends that use docker-build-* and docker-save-*
+backends/%: docker-build-% docker-save-% build
+	./local-ai backends install "ocifile://$(abspath ./backend-images/$*.tar)"
+
+# Darwin-specific backends (keep as explicit targets since they have special build logic)
+backends/llama-cpp-darwin: build
+	bash ./scripts/build/llama-cpp-darwin.sh
+	./local-ai backends install "ocifile://$(abspath ./backend-images/llama-cpp.tar)"
+
+build-darwin-python-backend: build
+	bash ./scripts/build/python-darwin.sh
+
+build-darwin-go-backend: build
+	bash ./scripts/build/golang-darwin.sh
+
+backends/mlx:
+	BACKEND=mlx $(MAKE) build-darwin-python-backend
+	./local-ai backends install "ocifile://$(abspath ./backend-images/mlx.tar)"
+
+backends/diffuser-darwin:
+	BACKEND=diffusers $(MAKE) build-darwin-python-backend
+	./local-ai backends install "ocifile://$(abspath ./backend-images/diffusers.tar)"
+
+backends/mlx-vlm:
+	BACKEND=mlx-vlm $(MAKE) build-darwin-python-backend
+	./local-ai backends install "ocifile://$(abspath ./backend-images/mlx-vlm.tar)"
+
+backends/mlx-audio:
+	BACKEND=mlx-audio $(MAKE) build-darwin-python-backend
+	./local-ai backends install "ocifile://$(abspath ./backend-images/mlx-audio.tar)"
+
+backends/mlx-distributed:
+	BACKEND=mlx-distributed $(MAKE) build-darwin-python-backend
+	./local-ai backends install "ocifile://$(abspath ./backend-images/mlx-distributed.tar)"
+
+backends/stablediffusion-ggml-darwin:
+	BACKEND=stablediffusion-ggml BUILD_TYPE=metal $(MAKE) build-darwin-go-backend
+	./local-ai backends install "ocifile://$(abspath ./backend-images/stablediffusion-ggml.tar)"
+
 backend-images:
 	mkdir -p backend-images
 
-docker-build-llama-cpp:
-	docker build --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg BASE_IMAGE=$(BASE_IMAGE) -t local-ai-backend:llama-cpp -f backend/Dockerfile.llama-cpp .
+# Backend metadata: BACKEND_NAME | DOCKERFILE_TYPE | BUILD_CONTEXT | PROGRESS_FLAG | NEEDS_BACKEND_ARG
+# llama-cpp is special - uses llama-cpp Dockerfile and doesn't need BACKEND arg
+BACKEND_LLAMA_CPP = llama-cpp|llama-cpp|.|false|false
+# ik-llama-cpp is a fork of llama.cpp with superior CPU performance
+BACKEND_IK_LLAMA_CPP = ik-llama-cpp|ik-llama-cpp|.|false|false
+# turboquant is a llama.cpp fork with TurboQuant KV-cache quantization.
+# Reuses backend/cpp/llama-cpp grpc-server sources via a thin wrapper Makefile.
+BACKEND_TURBOQUANT = turboquant|turboquant|.|false|false
 
-docker-build-bark-cpp:
-	docker build --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg BASE_IMAGE=$(BASE_IMAGE) -t local-ai-backend:bark-cpp -f backend/Dockerfile.golang --build-arg BACKEND=bark-cpp .
+# Golang backends
+BACKEND_PIPER = piper|golang|.|false|true
+BACKEND_LOCAL_STORE = local-store|golang|.|false|true
+BACKEND_HUGGINGFACE = huggingface|golang|.|false|true
+BACKEND_SILERO_VAD = silero-vad|golang|.|false|true
+BACKEND_STABLEDIFFUSION_GGML = stablediffusion-ggml|golang|.|--progress=plain|true
+BACKEND_WHISPER = whisper|golang|.|false|true
+BACKEND_VOXTRAL = voxtral|golang|.|false|true
+BACKEND_ACESTEP_CPP = acestep-cpp|golang|.|false|true
+BACKEND_QWEN3_TTS_CPP = qwen3-tts-cpp|golang|.|false|true
+BACKEND_OPUS = opus|golang|.|false|true
 
-docker-build-piper:
-	docker build --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg BASE_IMAGE=$(BASE_IMAGE) -t local-ai-backend:piper -f backend/Dockerfile.golang --build-arg BACKEND=piper .
+# Python backends with root context
+BACKEND_RERANKERS = rerankers|python|.|false|true
+BACKEND_TRANSFORMERS = transformers|python|.|false|true
+BACKEND_OUTETTS = outetts|python|.|false|true
+BACKEND_FASTER_WHISPER = faster-whisper|python|.|false|true
+BACKEND_COQUI = coqui|python|.|false|true
+BACKEND_RFDETR = rfdetr|python|.|false|true
+BACKEND_KITTEN_TTS = kitten-tts|python|.|false|true
+BACKEND_NEUTTS = neutts|python|.|false|true
+BACKEND_KOKORO = kokoro|python|.|false|true
+BACKEND_VLLM = vllm|python|.|false|true
+BACKEND_VLLM_OMNI = vllm-omni|python|.|false|true
+BACKEND_SGLANG = sglang|python|.|false|true
+BACKEND_DIFFUSERS = diffusers|python|.|--progress=plain|true
+BACKEND_CHATTERBOX = chatterbox|python|.|false|true
+BACKEND_VIBEVOICE = vibevoice|python|.|--progress=plain|true
+BACKEND_MOONSHINE = moonshine|python|.|false|true
+BACKEND_POCKET_TTS = pocket-tts|python|.|false|true
+BACKEND_QWEN_TTS = qwen-tts|python|.|false|true
+BACKEND_FISH_SPEECH = fish-speech|python|.|false|true
+BACKEND_FASTER_QWEN3_TTS = faster-qwen3-tts|python|.|false|true
+BACKEND_QWEN_ASR = qwen-asr|python|.|false|true
+BACKEND_NEMO = nemo|python|.|false|true
+BACKEND_VOXCPM = voxcpm|python|.|false|true
+BACKEND_WHISPERX = whisperx|python|.|false|true
+BACKEND_ACE_STEP = ace-step|python|.|false|true
+BACKEND_MLX = mlx|python|.|false|true
+BACKEND_MLX_VLM = mlx-vlm|python|.|false|true
+BACKEND_MLX_DISTRIBUTED = mlx-distributed|python|./|false|true
+BACKEND_TRL = trl|python|.|false|true
+BACKEND_LLAMA_CPP_QUANTIZATION = llama-cpp-quantization|python|.|false|true
+BACKEND_TINYGRAD = tinygrad|python|.|false|true
 
-docker-build-local-store:
-	docker build --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg BASE_IMAGE=$(BASE_IMAGE) -t local-ai-backend:local-store -f backend/Dockerfile.golang --build-arg BACKEND=local-store .
+# Rust backends
+BACKEND_KOKOROS = kokoros|rust|.|false|true
 
-docker-build-huggingface:
-	docker build --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg BASE_IMAGE=$(BASE_IMAGE) -t local-ai-backend:huggingface -f backend/Dockerfile.golang --build-arg BACKEND=huggingface .
+# C++ backends (Go wrapper with purego)
+BACKEND_SAM3_CPP = sam3-cpp|golang|.|false|true
 
-docker-build-rfdetr:
-	docker build --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg BASE_IMAGE=$(BASE_IMAGE) -t local-ai-backend:rfdetr -f backend/Dockerfile.python --build-arg BACKEND=rfdetr ./backend
+# 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
+	docker build $(if $(filter-out false,$(4)),$(4)) \
+		--build-arg BUILD_TYPE=$(BUILD_TYPE) \
+		--build-arg BASE_IMAGE=$(BASE_IMAGE) \
+		--build-arg CUDA_MAJOR_VERSION=$(CUDA_MAJOR_VERSION) \
+		--build-arg CUDA_MINOR_VERSION=$(CUDA_MINOR_VERSION) \
+		--build-arg UBUNTU_VERSION=$(UBUNTU_VERSION) \
+		--build-arg UBUNTU_CODENAME=$(UBUNTU_CODENAME) \
+		$(if $(FROM_SOURCE),--build-arg FROM_SOURCE=$(FROM_SOURCE)) \
+		$(if $(filter true,$(5)),--build-arg BACKEND=$(1)) \
+		-t local-ai-backend:$(1) -f backend/Dockerfile.$(2) $(3)
+endef
 
-docker-build-kitten-tts:
-	docker build --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg BASE_IMAGE=$(BASE_IMAGE) -t local-ai-backend:kitten-tts -f backend/Dockerfile.python --build-arg BACKEND=kitten-tts ./backend
+# Generate docker-build targets from backend definitions
+define generate-docker-build-target
+docker-build-$(word 1,$(subst |, ,$(1))):
+	$$(call docker-build-backend,$(word 1,$(subst |, ,$(1))),$(word 2,$(subst |, ,$(1))),$(word 3,$(subst |, ,$(1))),$(word 4,$(subst |, ,$(1))),$(word 5,$(subst |, ,$(1))))
+endef
 
-docker-save-kitten-tts: backend-images
-	docker save local-ai-backend:kitten-tts -o backend-images/kitten-tts.tar
+# Generate all docker-build targets
+$(eval $(call generate-docker-build-target,$(BACKEND_LLAMA_CPP)))
+$(eval $(call generate-docker-build-target,$(BACKEND_IK_LLAMA_CPP)))
+$(eval $(call generate-docker-build-target,$(BACKEND_TURBOQUANT)))
+$(eval $(call generate-docker-build-target,$(BACKEND_PIPER)))
+$(eval $(call generate-docker-build-target,$(BACKEND_LOCAL_STORE)))
+$(eval $(call generate-docker-build-target,$(BACKEND_HUGGINGFACE)))
+$(eval $(call generate-docker-build-target,$(BACKEND_SILERO_VAD)))
+$(eval $(call generate-docker-build-target,$(BACKEND_STABLEDIFFUSION_GGML)))
+$(eval $(call generate-docker-build-target,$(BACKEND_WHISPER)))
+$(eval $(call generate-docker-build-target,$(BACKEND_VOXTRAL)))
+$(eval $(call generate-docker-build-target,$(BACKEND_OPUS)))
+$(eval $(call generate-docker-build-target,$(BACKEND_RERANKERS)))
+$(eval $(call generate-docker-build-target,$(BACKEND_TRANSFORMERS)))
+$(eval $(call generate-docker-build-target,$(BACKEND_OUTETTS)))
+$(eval $(call generate-docker-build-target,$(BACKEND_FASTER_WHISPER)))
+$(eval $(call generate-docker-build-target,$(BACKEND_COQUI)))
+$(eval $(call generate-docker-build-target,$(BACKEND_RFDETR)))
+$(eval $(call generate-docker-build-target,$(BACKEND_KITTEN_TTS)))
+$(eval $(call generate-docker-build-target,$(BACKEND_NEUTTS)))
+$(eval $(call generate-docker-build-target,$(BACKEND_KOKORO)))
+$(eval $(call generate-docker-build-target,$(BACKEND_VLLM)))
+$(eval $(call generate-docker-build-target,$(BACKEND_VLLM_OMNI)))
+$(eval $(call generate-docker-build-target,$(BACKEND_SGLANG)))
+$(eval $(call generate-docker-build-target,$(BACKEND_DIFFUSERS)))
+$(eval $(call generate-docker-build-target,$(BACKEND_CHATTERBOX)))
+$(eval $(call generate-docker-build-target,$(BACKEND_VIBEVOICE)))
+$(eval $(call generate-docker-build-target,$(BACKEND_MOONSHINE)))
+$(eval $(call generate-docker-build-target,$(BACKEND_POCKET_TTS)))
+$(eval $(call generate-docker-build-target,$(BACKEND_QWEN_TTS)))
+$(eval $(call generate-docker-build-target,$(BACKEND_FISH_SPEECH)))
+$(eval $(call generate-docker-build-target,$(BACKEND_FASTER_QWEN3_TTS)))
+$(eval $(call generate-docker-build-target,$(BACKEND_QWEN_ASR)))
+$(eval $(call generate-docker-build-target,$(BACKEND_NEMO)))
+$(eval $(call generate-docker-build-target,$(BACKEND_VOXCPM)))
+$(eval $(call generate-docker-build-target,$(BACKEND_WHISPERX)))
+$(eval $(call generate-docker-build-target,$(BACKEND_ACE_STEP)))
+$(eval $(call generate-docker-build-target,$(BACKEND_ACESTEP_CPP)))
+$(eval $(call generate-docker-build-target,$(BACKEND_QWEN3_TTS_CPP)))
+$(eval $(call generate-docker-build-target,$(BACKEND_MLX)))
+$(eval $(call generate-docker-build-target,$(BACKEND_MLX_VLM)))
+$(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_TINYGRAD)))
+$(eval $(call generate-docker-build-target,$(BACKEND_KOKOROS)))
+$(eval $(call generate-docker-build-target,$(BACKEND_SAM3_CPP)))
 
-docker-build-kokoro:
-	docker build --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg BASE_IMAGE=$(BASE_IMAGE) -t local-ai-backend:kokoro -f backend/Dockerfile.python --build-arg BACKEND=kokoro ./backend
+# Pattern rule for docker-save targets
+docker-save-%: backend-images
+	docker save local-ai-backend:$* -o backend-images/$*.tar
 
-docker-save-kokoro: backend-images
-	docker save local-ai-backend:kokoro -o backend-images/kokoro.tar
+docker-build-backends: docker-build-llama-cpp docker-build-ik-llama-cpp docker-build-turboquant docker-build-rerankers docker-build-vllm docker-build-vllm-omni docker-build-sglang docker-build-transformers docker-build-outetts docker-build-diffusers docker-build-kokoro docker-build-faster-whisper docker-build-coqui docker-build-chatterbox docker-build-vibevoice docker-build-moonshine docker-build-pocket-tts docker-build-qwen-tts docker-build-fish-speech docker-build-faster-qwen3-tts docker-build-qwen-asr docker-build-nemo docker-build-voxcpm docker-build-whisperx docker-build-ace-step docker-build-acestep-cpp docker-build-voxtral docker-build-mlx-distributed docker-build-trl docker-build-llama-cpp-quantization docker-build-tinygrad docker-build-kokoros docker-build-sam3-cpp docker-build-qwen3-tts-cpp
 
-docker-save-rfdetr: backend-images
-	docker save local-ai-backend:rfdetr -o backend-images/rfdetr.tar
+########################################################
+### Mock Backend for E2E Tests
+########################################################
 
-docker-save-huggingface: backend-images
-	docker save local-ai-backend:huggingface -o backend-images/huggingface.tar
+build-mock-backend: protogen-go
+	$(GOCMD) build -o tests/e2e/mock-backend/mock-backend ./tests/e2e/mock-backend
 
-docker-save-local-store: backend-images
-	docker save local-ai-backend:local-store -o backend-images/local-store.tar
+clean-mock-backend:
+	rm -f tests/e2e/mock-backend/mock-backend
 
-docker-build-silero-vad:
-	docker build --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg BASE_IMAGE=$(BASE_IMAGE) -t local-ai-backend:silero-vad -f backend/Dockerfile.golang --build-arg BACKEND=silero-vad .
+########################################################
+### UI E2E Test Server
+########################################################
 
-docker-save-silero-vad: backend-images
-	docker save local-ai-backend:silero-vad -o backend-images/silero-vad.tar
+build-ui-test-server: build-mock-backend react-ui protogen-go
+	$(GOCMD) build -o tests/e2e-ui/ui-test-server ./tests/e2e-ui
 
-docker-save-piper: backend-images
-	docker save local-ai-backend:piper -o backend-images/piper.tar
+test-ui-e2e: build-ui-test-server
+	cd core/http/react-ui && npm install && npx playwright install --with-deps chromium && npx playwright test
 
-docker-save-llama-cpp: backend-images
-	docker save local-ai-backend:llama-cpp -o backend-images/llama-cpp.tar
+test-ui-e2e-docker:
+	docker build -t localai-ui-e2e -f tests/e2e-ui/Dockerfile .
+	docker run --rm localai-ui-e2e
 
-docker-save-bark-cpp: backend-images
-	docker save local-ai-backend:bark-cpp -o backend-images/bark-cpp.tar
-
-docker-build-stablediffusion-ggml:
-	docker build --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg BASE_IMAGE=$(BASE_IMAGE) -t local-ai-backend:stablediffusion-ggml -f backend/Dockerfile.golang --build-arg BACKEND=stablediffusion-ggml .
-
-docker-save-stablediffusion-ggml: backend-images
-	docker save local-ai-backend:stablediffusion-ggml -o backend-images/stablediffusion-ggml.tar
-
-docker-build-rerankers:
-	docker build --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg BASE_IMAGE=$(BASE_IMAGE) -t local-ai-backend:rerankers -f backend/Dockerfile.python --build-arg BACKEND=rerankers .
-
-docker-build-vllm:
-	docker build --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg BASE_IMAGE=$(BASE_IMAGE) -t local-ai-backend:vllm -f backend/Dockerfile.python --build-arg BACKEND=vllm .
-
-docker-build-transformers:
-	docker build --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg BASE_IMAGE=$(BASE_IMAGE) -t local-ai-backend:transformers -f backend/Dockerfile.python --build-arg BACKEND=transformers .
-
-docker-build-diffusers:
-	docker build --progress=plain --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg BASE_IMAGE=$(BASE_IMAGE) -t local-ai-backend:diffusers -f backend/Dockerfile.python --build-arg BACKEND=diffusers ./backend
-
-docker-save-diffusers: backend-images
-	docker save local-ai-backend:diffusers -o backend-images/diffusers.tar
-
-docker-build-whisper:
-	docker build --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg BASE_IMAGE=$(BASE_IMAGE) -t local-ai-backend:whisper -f backend/Dockerfile.golang --build-arg BACKEND=whisper  .
-
-docker-save-whisper: backend-images
-	docker save local-ai-backend:whisper -o backend-images/whisper.tar
-
-docker-build-faster-whisper:
-	docker build --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg BASE_IMAGE=$(BASE_IMAGE) -t local-ai-backend:faster-whisper -f backend/Dockerfile.python --build-arg BACKEND=faster-whisper .
-
-docker-build-coqui:
-	docker build --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg BASE_IMAGE=$(BASE_IMAGE) -t local-ai-backend:coqui -f backend/Dockerfile.python --build-arg BACKEND=coqui .
-
-docker-build-bark:
-	docker build --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg BASE_IMAGE=$(BASE_IMAGE) -t local-ai-backend:bark -f backend/Dockerfile.python --build-arg BACKEND=bark .
-
-docker-build-chatterbox:
-	docker build --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg BASE_IMAGE=$(BASE_IMAGE) -t local-ai-backend:chatterbox -f backend/Dockerfile.python --build-arg BACKEND=chatterbox .
-
-docker-build-exllama2:
-	docker build --build-arg BUILD_TYPE=$(BUILD_TYPE) --build-arg BASE_IMAGE=$(BASE_IMAGE) -t local-ai-backend:exllama2 -f backend/Dockerfile.python --build-arg BACKEND=exllama2 .
-
-docker-build-backends: docker-build-llama-cpp docker-build-rerankers docker-build-vllm docker-build-transformers docker-build-diffusers docker-build-kokoro docker-build-faster-whisper docker-build-coqui docker-build-bark docker-build-chatterbox docker-build-exllama2
+clean-ui-test-server:
+	rm -f tests/e2e-ui/ui-test-server
 
 ########################################################
 ### END Backends
@@ -466,6 +890,7 @@ docker-build-backends: docker-build-llama-cpp docker-build-rerankers docker-buil
 swagger:
 	swag init -g core/http/app.go --output swagger
 
+# DEPRECATED: gen-assets is for the legacy Alpine.js UI. Remove when legacy UI is removed.
 .PHONY: gen-assets
 gen-assets:
 	$(GOCMD) run core/dependencies_manager/manager.go webui_static.yaml core/http/static/assets
@@ -487,3 +912,19 @@ docs-clean:
 .PHONY: docs
 docs: docs/static/gallery.html
 	cd docs && hugo serve
+
+########################################################
+## Platform-specific builds
+########################################################
+
+## fyne cross-platform build
+build-launcher-darwin: build-launcher
+	go run github.com/tiagomelo/macos-dmg-creator/cmd/createdmg@latest \
+	--appName "LocalAI" \
+	--appBinaryPath "$(LAUNCHER_BINARY_NAME)" \
+	--bundleIdentifier "com.localai.launcher" \
+	--iconPath "core/http/static/logo.png" \
+	--outputDir "dist/"
+
+build-launcher-linux:
+	cd cmd/launcher && go run fyne.io/tools/cmd/fyne@latest package -os linux -icon ../../core/http/static/logo.png --executable $(LAUNCHER_BINARY_NAME)-linux && mv launcher.tar.xz ../../$(LAUNCHER_BINARY_NAME)-linux.tar.xz

README.md

@@ -5,26 +5,14 @@
 </h1>
 
 <p align="center">
-<a href="https://github.com/go-skynet/LocalAI/fork" target="blank">
-<img src="https://img.shields.io/github/forks/go-skynet/LocalAI?style=for-the-badge" alt="LocalAI forks"/>
-</a>
 <a href="https://github.com/go-skynet/LocalAI/stargazers" target="blank">
 <img src="https://img.shields.io/github/stars/go-skynet/LocalAI?style=for-the-badge" alt="LocalAI stars"/>
 </a>
-<a href="https://github.com/go-skynet/LocalAI/pulls" target="blank">
-<img src="https://img.shields.io/github/issues-pr/go-skynet/LocalAI?style=for-the-badge" alt="LocalAI pull-requests"/>
-</a>
 <a href='https://github.com/go-skynet/LocalAI/releases'>
 <img src='https://img.shields.io/github/release/go-skynet/LocalAI?&label=Latest&style=for-the-badge'>
 </a>
-</p>
-
-<p align="center">
-<a href="https://hub.docker.com/r/localai/localai" target="blank">
-<img src="https://img.shields.io/badge/dockerhub-images-important.svg?logo=Docker" alt="LocalAI Docker hub"/>
-</a>
-<a href="https://quay.io/repository/go-skynet/local-ai?tab=tags&tag=latest" target="blank">
-<img src="https://img.shields.io/badge/quay.io-images-important.svg?" alt="LocalAI Quay.io"/>
+<a href="LICENSE" target="blank">
+<img src="https://img.shields.io/badge/License-MIT-yellow.svg?style=for-the-badge" alt="LocalAI License"/>
 </a>
 </p>
 
@@ -33,7 +21,7 @@
 <img src="https://img.shields.io/badge/X-%23000000.svg?style=for-the-badge&logo=X&logoColor=white&label=LocalAI_API" alt="Follow LocalAI_API"/>
 </a>
 <a href="https://discord.gg/uJAeKSAGDy" target="blank">
-<img src="https://dcbadge.vercel.app/api/server/uJAeKSAGDy?style=flat-square&theme=default-inverted" alt="Join LocalAI Discord Community"/>
+<img src="https://img.shields.io/badge/dynamic/json?color=blue&label=Discord&style=for-the-badge&query=approximate_member_count&url=https%3A%2F%2Fdiscordapp.com%2Fapi%2Finvites%2FuJAeKSAGDy%3Fwith_counts%3Dtrue&logo=discord" alt="Join LocalAI Discord Community"/>
 </a>
 </p>
 
@@ -41,247 +29,184 @@
 <a href="https://trendshift.io/repositories/5539" target="_blank"><img src="https://trendshift.io/api/badge/repositories/5539" alt="mudler%2FLocalAI | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
 </p>
 
-> :bulb: Get help - [❓FAQ](https://localai.io/faq/) [💭Discussions](https://github.com/go-skynet/LocalAI/discussions) [:speech_balloon: Discord](https://discord.gg/uJAeKSAGDy) [:book: Documentation website](https://localai.io/)
->
-> [💻 Quickstart](https://localai.io/basics/getting_started/) [🖼️ Models](https://models.localai.io/) [🚀 Roadmap](https://github.com/mudler/LocalAI/issues?q=is%3Aissue+is%3Aopen+label%3Aroadmap) [🥽 Demo](https://demo.localai.io) [🌍 Explorer](https://explorer.localai.io) [🛫 Examples](https://github.com/mudler/LocalAI-examples) Try on 
-[![Telegram](https://img.shields.io/badge/Telegram-2CA5E0?style=for-the-badge&logo=telegram&logoColor=white)](https://t.me/localaiofficial_bot)
+**LocalAI** is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.
 
-[![tests](https://github.com/go-skynet/LocalAI/actions/workflows/test.yml/badge.svg)](https://github.com/go-skynet/LocalAI/actions/workflows/test.yml)[![Build and Release](https://github.com/go-skynet/LocalAI/actions/workflows/release.yaml/badge.svg)](https://github.com/go-skynet/LocalAI/actions/workflows/release.yaml)[![build container images](https://github.com/go-skynet/LocalAI/actions/workflows/image.yml/badge.svg)](https://github.com/go-skynet/LocalAI/actions/workflows/image.yml)[![Bump dependencies](https://github.com/go-skynet/LocalAI/actions/workflows/bump_deps.yaml/badge.svg)](https://github.com/go-skynet/LocalAI/actions/workflows/bump_deps.yaml)[![Artifact Hub](https://img.shields.io/endpoint?url=https://artifacthub.io/badge/repository/localai)](https://artifacthub.io/packages/search?repo=localai)
+- **Drop-in API compatibility** — OpenAI, Anthropic, ElevenLabs APIs
+- **36+ backends** — llama.cpp, vLLM, transformers, whisper, diffusers, MLX...
+- **Any hardware** — NVIDIA, AMD, Intel, Apple Silicon, Vulkan, or CPU-only
+- **Multi-user ready** — API key auth, user quotas, role-based access
+- **Built-in AI agents** — autonomous agents with tool use, RAG, MCP, and skills
+- **Privacy-first** — your data never leaves your infrastructure
 
-**LocalAI** is the free, Open Source OpenAI alternative. LocalAI act as a drop-in replacement REST API that's compatible with OpenAI (Elevenlabs, Anthropic... ) API specifications for local AI inferencing. It allows you to run LLMs, generate images, audio (and not only) locally or on-prem with consumer grade hardware, supporting multiple model families. Does not require GPU. It is created and maintained by [Ettore Di Giacinto](https://github.com/mudler).
+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/)
 
-## 📚🆕 Local Stack Family
+## Guided tour
 
-🆕 LocalAI is now part of a comprehensive suite of AI tools designed to work together:
+https://github.com/user-attachments/assets/08cbb692-57da-48f7-963d-2e7b43883c18
 
-<table>
-  <tr>
-    <td width="50%" valign="top">
-      <a href="https://github.com/mudler/LocalAGI">
-        <img src="https://raw.githubusercontent.com/mudler/LocalAGI/refs/heads/main/webui/react-ui/public/logo_2.png" width="300" alt="LocalAGI Logo">
-      </a>
-    </td>
-    <td width="50%" valign="top">
-      <h3><a href="https://github.com/mudler/LocalAGI">LocalAGI</a></h3>
-      <p>A powerful Local AI agent management platform that serves as a drop-in replacement for OpenAI's Responses API, enhanced with advanced agentic capabilities.</p>
-    </td>
-  </tr>
-  <tr>
-    <td width="50%" valign="top">
-      <a href="https://github.com/mudler/LocalRecall">
-        <img src="https://raw.githubusercontent.com/mudler/LocalRecall/refs/heads/main/static/localrecall_horizontal.png" width="300" alt="LocalRecall Logo">
-      </a>
-    </td>
-    <td width="50%" valign="top">
-      <h3><a href="https://github.com/mudler/LocalRecall">LocalRecall</a></h3>
-      <p>A REST-ful API and knowledge base management system that provides persistent memory and storage capabilities for AI agents.</p>
-    </td>
-  </tr>
-</table>
+<details>
 
-## Screenshots
+<summary>
+Click to see more!
+</summary>
 
+#### User and auth
 
-| Talk Interface | Generate Audio |
-| --- | --- |
-| ![Screenshot 2025-03-31 at 12-01-36 LocalAI - Talk](./docs/assets/images/screenshots/screenshot_tts.png) | ![Screenshot 2025-03-31 at 12-01-29 LocalAI - Generate audio with voice-en-us-ryan-low](./docs/assets/images/screenshots/screenshot_tts.png) |
+https://github.com/user-attachments/assets/228fa9ad-81a3-4d43-bfb9-31557e14a36c
 
-| Models Overview | Generate Images |
-| --- | --- |
-| ![Screenshot 2025-03-31 at 12-01-20 LocalAI - Models](./docs/assets/images/screenshots/screenshot_gallery.png) | ![Screenshot 2025-03-31 at 12-31-41 LocalAI - Generate images with flux 1-dev](./docs/assets/images/screenshots/screenshot_image.png) |
+#### Agents
 
-| Chat Interface | Home |
-| --- | --- |
-| ![Screenshot 2025-03-31 at 11-57-44 LocalAI - Chat with localai-functioncall-qwen2 5-7b-v0 5](./docs/assets/images/screenshots/screenshot_chat.png) | ![Screenshot 2025-03-31 at 11-57-23 LocalAI API - c2a39e3 (c2a39e3639227cfd94ffffe9f5691239acc275a8)](./docs/assets/images/screenshots/screenshot_home.png) |
+https://github.com/user-attachments/assets/6270b331-e21d-4087-a540-6290006b381a
 
-| Login | Swarm |
-| --- | --- |
-|![Screenshot 2025-03-31 at 12-09-59 ](./docs/assets/images/screenshots/screenshot_login.png) | ![Screenshot 2025-03-31 at 12-10-39 LocalAI - P2P dashboard](./docs/assets/images/screenshots/screenshot_p2p.png) |
+#### Usage metrics per user
 
-## 💻 Quickstart
+https://github.com/user-attachments/assets/cbb03379-23b4-4e3d-bd26-d152f057007f
 
-Run the installer script:
+#### Fine-tuning and Quantization
 
-```bash
-# Basic installation
-curl https://localai.io/install.sh | sh
-```
+https://github.com/user-attachments/assets/5ba4ace9-d3df-4795-b7d4-b0b404ea71ee
 
-For more installation options, see [Installer Options](https://localai.io/docs/advanced/installer/).
+#### WebRTC
 
-Or run with docker:
+https://github.com/user-attachments/assets/ed88e34c-fed3-4b83-8a67-4716a9feeb7b
 
-### CPU only image:
+</details>
+
+## Quickstart
+
+### macOS
+
+<a href="https://github.com/mudler/LocalAI/releases/latest/download/LocalAI.dmg">
+  <img src="https://img.shields.io/badge/Download-macOS-blue?style=for-the-badge&logo=apple&logoColor=white" alt="Download LocalAI for macOS"/>
+</a>
+
+> **Note:** The DMG is not signed by Apple. After installing, run: `sudo xattr -d com.apple.quarantine /Applications/LocalAI.app`. See [#6268](https://github.com/mudler/LocalAI/issues/6268) for details.
+
+### Containers (Docker, podman, ...)
+
+> Already ran LocalAI before? Use `docker start -i local-ai` to restart an existing container.
+
+#### CPU only:
 
 ```bash
 docker run -ti --name local-ai -p 8080:8080 localai/localai:latest
 ```
 
-### NVIDIA GPU Images:
+#### NVIDIA GPU:
 
 ```bash
-# CUDA 12.0
+# CUDA 13
+docker run -ti --name local-ai -p 8080:8080 --gpus all localai/localai:latest-gpu-nvidia-cuda-13
+
+# CUDA 12
 docker run -ti --name local-ai -p 8080:8080 --gpus all localai/localai:latest-gpu-nvidia-cuda-12
 
-# CUDA 11.7
-docker run -ti --name local-ai -p 8080:8080 --gpus all localai/localai:latest-gpu-nvidia-cuda-11
-
-# NVIDIA Jetson (L4T) ARM64
+# NVIDIA Jetson ARM64 (CUDA 12, for AGX Orin and similar)
 docker run -ti --name local-ai -p 8080:8080 --gpus all localai/localai:latest-nvidia-l4t-arm64
+
+# NVIDIA Jetson ARM64 (CUDA 13, for DGX Spark)
+docker run -ti --name local-ai -p 8080:8080 --gpus all localai/localai:latest-nvidia-l4t-arm64-cuda-13
 ```
 
-### AMD GPU Images (ROCm):
+#### AMD GPU (ROCm):
 
 ```bash
 docker run -ti --name local-ai -p 8080:8080 --device=/dev/kfd --device=/dev/dri --group-add=video localai/localai:latest-gpu-hipblas
 ```
 
-### Intel GPU Images (oneAPI):
+#### Intel GPU (oneAPI):
 
 ```bash
 docker run -ti --name local-ai -p 8080:8080 --device=/dev/dri/card1 --device=/dev/dri/renderD128 localai/localai:latest-gpu-intel
 ```
 
-### Vulkan GPU Images:
+#### Vulkan GPU:
 
 ```bash
 docker run -ti --name local-ai -p 8080:8080 localai/localai:latest-gpu-vulkan
 ```
 
-### AIO Images (pre-downloaded models):
+### Loading models
 
 ```bash
-# CPU version
-docker run -ti --name local-ai -p 8080:8080 localai/localai:latest-aio-cpu
-
-# NVIDIA CUDA 12 version
-docker run -ti --name local-ai -p 8080:8080 --gpus all localai/localai:latest-aio-gpu-nvidia-cuda-12
-
-# NVIDIA CUDA 11 version
-docker run -ti --name local-ai -p 8080:8080 --gpus all localai/localai:latest-aio-gpu-nvidia-cuda-11
-
-# Intel GPU version
-docker run -ti --name local-ai -p 8080:8080 localai/localai:latest-aio-gpu-intel
-
-# AMD GPU version
-docker run -ti --name local-ai -p 8080:8080 --device=/dev/kfd --device=/dev/dri --group-add=video localai/localai:latest-aio-gpu-hipblas
-```
-
-For more information about the AIO images and pre-downloaded models, see [Container Documentation](https://localai.io/basics/container/).
-
-To load models:
-
-```bash
-# From the model gallery (see available models with `local-ai models list`, in the WebUI from the model tab, or visiting https://models.localai.io)
+# From the model gallery (see available models with `local-ai models list` or at https://models.localai.io)
 local-ai run llama-3.2-1b-instruct:q4_k_m
-# Start LocalAI with the phi-2 model directly from huggingface
+# From Huggingface
 local-ai run huggingface://TheBloke/phi-2-GGUF/phi-2.Q8_0.gguf
-# Install and run a model from the Ollama OCI registry
+# From the Ollama OCI registry
 local-ai run ollama://gemma:2b
-# Run a model from a configuration file
+# From a YAML config
 local-ai run https://gist.githubusercontent.com/.../phi-2.yaml
-# Install and run a model from a standard OCI registry (e.g., Docker Hub)
+# From a standard OCI registry (e.g., Docker Hub)
 local-ai run oci://localai/phi-2:latest
 ```
 
-> ⚡ **Automatic Backend Detection**: When you install models from the gallery or YAML files, LocalAI automatically detects your system's GPU capabilities (NVIDIA, AMD, Intel) and downloads the appropriate backend. For advanced configuration options, see [GPU Acceleration](https://localai.io/features/gpu-acceleration/#automatic-backend-detection).
+> **Automatic Backend Detection**: LocalAI automatically detects your GPU capabilities and downloads the appropriate backend. For advanced options, see [GPU Acceleration](https://localai.io/features/gpu-acceleration/).
 
-For more information, see [💻 Getting started](https://localai.io/basics/getting_started/index.html)
+For more details, see the [Getting Started guide](https://localai.io/basics/getting_started/).
 
-## 📰 Latest project news
+## Latest News
 
-- July/August 2025: 🔍 [Object Detection](https://localai.io/features/object-detection/) added to the API featuring [rf-detr](https://github.com/roboflow/rf-detr)
-- July 2025: All backends migrated outside of the main binary. LocalAI is now more lightweight, small, and automatically downloads the required backend to run the model. [Read the release notes](https://github.com/mudler/LocalAI/releases/tag/v3.2.0)
-- June 2025: [Backend management](https://github.com/mudler/LocalAI/pull/5607) has been added. Attention: extras images are going to be deprecated from the next release! Read [the backend management PR](https://github.com/mudler/LocalAI/pull/5607).
-- May 2025: [Audio input](https://github.com/mudler/LocalAI/pull/5466) and [Reranking](https://github.com/mudler/LocalAI/pull/5396) in llama.cpp backend, [Realtime API](https://github.com/mudler/LocalAI/pull/5392),  Support to Gemma, SmollVLM, and more multimodal models (available in the gallery).
-- May 2025: Important: image name changes [See release](https://github.com/mudler/LocalAI/releases/tag/v2.29.0)
-- Apr 2025: Rebrand, WebUI enhancements
-- Apr 2025: [LocalAGI](https://github.com/mudler/LocalAGI) and [LocalRecall](https://github.com/mudler/LocalRecall) join the LocalAI family stack.
-- Apr 2025: WebUI overhaul, AIO images updates
-- Feb 2025: Backend cleanup, Breaking changes, new backends (kokoro, OutelTTS, faster-whisper), Nvidia L4T images
-- Jan 2025: LocalAI model release: https://huggingface.co/mudler/LocalAI-functioncall-phi-4-v0.3, SANA support in diffusers: https://github.com/mudler/LocalAI/pull/4603
-- Dec 2024: stablediffusion.cpp backend (ggml) added ( https://github.com/mudler/LocalAI/pull/4289 )
-- Nov 2024: Bark.cpp backend added ( https://github.com/mudler/LocalAI/pull/4287 )
-- Nov 2024: Voice activity detection models (**VAD**) added to the API: https://github.com/mudler/LocalAI/pull/4204
-- Oct 2024: examples moved to [LocalAI-examples](https://github.com/mudler/LocalAI-examples)
-- Aug 2024:  🆕 FLUX-1, [P2P Explorer](https://explorer.localai.io)
-- July 2024: 🔥🔥 🆕 P2P Dashboard, LocalAI Federated mode and AI Swarms: https://github.com/mudler/LocalAI/pull/2723. P2P Global community pools: https://github.com/mudler/LocalAI/issues/3113
-- May 2024: 🔥🔥 Decentralized P2P llama.cpp:  https://github.com/mudler/LocalAI/pull/2343 (peer2peer llama.cpp!) 👉 Docs  https://localai.io/features/distribute/
-- May 2024: 🔥🔥 Distributed inferencing: https://github.com/mudler/LocalAI/pull/2324
-- April 2024: Reranker API: https://github.com/mudler/LocalAI/pull/2121
+- **March 2026**: [Agent management](https://github.com/mudler/LocalAI/pull/8820), [New React UI](https://github.com/mudler/LocalAI/pull/8772), [WebRTC](https://github.com/mudler/LocalAI/pull/8790), [MLX-distributed via P2P and RDMA](https://github.com/mudler/LocalAI/pull/8801), [MCP Apps, MCP Client-side](https://github.com/mudler/LocalAI/pull/8947)
+- **February 2026**: [Realtime API for audio-to-audio with tool calling](https://github.com/mudler/LocalAI/pull/6245), [ACE-Step 1.5 support](https://github.com/mudler/LocalAI/pull/8396)
+- **January 2026**: **LocalAI 3.10.0** — Anthropic API support, Open Responses API, video & image generation (LTX-2), unified GPU backends, tool streaming, Moonshine, Pocket-TTS. [Release notes](https://github.com/mudler/LocalAI/releases/tag/v3.10.0)
+- **December 2025**: [Dynamic Memory Resource reclaimer](https://github.com/mudler/LocalAI/pull/7583), [Automatic multi-GPU model fitting (llama.cpp)](https://github.com/mudler/LocalAI/pull/7584), [Vibevoice backend](https://github.com/mudler/LocalAI/pull/7494)
+- **November 2025**: [Import models via URL](https://github.com/mudler/LocalAI/pull/7245), [Multiple chats and history](https://github.com/mudler/LocalAI/pull/7325)
+- **October 2025**: [Model Context Protocol (MCP)](https://localai.io/docs/features/mcp/) support for agentic capabilities
+- **September 2025**: New Launcher for macOS and Linux, extended backend support for Mac and Nvidia L4T, MLX-Audio, WAN 2.2
+- **August 2025**: MLX, MLX-VLM, Diffusers, llama.cpp now supported on Apple Silicon
+- **July 2025**: All backends migrated outside the main binary — [lightweight, modular architecture](https://github.com/mudler/LocalAI/releases/tag/v3.2.0)
 
-Roadmap items: [List of issues](https://github.com/mudler/LocalAI/issues?q=is%3Aissue+is%3Aopen+label%3Aroadmap)
+For older news and full release notes, see [GitHub Releases](https://github.com/mudler/LocalAI/releases) and the [News page](https://localai.io/basics/news/).
 
-## 🚀 [Features](https://localai.io/features/)
+## Features
 
-- 🧩 [Backend Gallery](https://localai.io/backends/): Install/remove backends on the fly, powered by OCI images — fully customizable and API-driven.
-- 📖 [Text generation with GPTs](https://localai.io/features/text-generation/) (`llama.cpp`, `transformers`, `vllm` ... [:book: and more](https://localai.io/model-compatibility/index.html#model-compatibility-table))
-- 🗣 [Text to Audio](https://localai.io/features/text-to-audio/)
-- 🔈 [Audio to Text](https://localai.io/features/audio-to-text/) (Audio transcription with `whisper.cpp`)
-- 🎨 [Image generation](https://localai.io/features/image-generation)
-- 🔥 [OpenAI-alike tools API](https://localai.io/features/openai-functions/) 
-- 🧠 [Embeddings generation for vector databases](https://localai.io/features/embeddings/)
-- ✍️ [Constrained grammars](https://localai.io/features/constrained_grammars/)
-- 🖼️ [Download Models directly from Huggingface ](https://localai.io/models/)
-- 🥽 [Vision API](https://localai.io/features/gpt-vision/)
-- 🔍 [Object Detection](https://localai.io/features/object-detection/)
-- 📈 [Reranker API](https://localai.io/features/reranker/)
-- 🆕🖧 [P2P Inferencing](https://localai.io/features/distribute/)
-- [Agentic capabilities](https://github.com/mudler/LocalAGI)
-- 🔊 Voice activity detection (Silero-VAD support)
-- 🌍 Integrated WebUI!
+- [Text generation](https://localai.io/features/text-generation/) (`llama.cpp`, `transformers`, `vllm` ... [and more](https://localai.io/model-compatibility/))
+- [Text to Audio](https://localai.io/features/text-to-audio/)
+- [Audio to Text](https://localai.io/features/audio-to-text/)
+- [Image generation](https://localai.io/features/image-generation)
+- [OpenAI-compatible tools API](https://localai.io/features/openai-functions/)
+- [Realtime API](https://localai.io/features/openai-realtime/) (Speech-to-speech)
+- [Embeddings generation](https://localai.io/features/embeddings/)
+- [Constrained grammars](https://localai.io/features/constrained_grammars/)
+- [Download models from Huggingface](https://localai.io/models/)
+- [Vision API](https://localai.io/features/gpt-vision/)
+- [Object Detection](https://localai.io/features/object-detection/)
+- [Reranker API](https://localai.io/features/reranker/)
+- [P2P Inferencing](https://localai.io/features/distribute/)
+- [Distributed Mode](https://localai.io/features/distributed-mode/) — Horizontal scaling with PostgreSQL + NATS
+- [Model Context Protocol (MCP)](https://localai.io/docs/features/mcp/)
+- [Built-in Agents](https://localai.io/features/agents/) — Autonomous AI agents with tool use, RAG, skills, SSE streaming, and [Agent Hub](https://agenthub.localai.io)
+- [Backend Gallery](https://localai.io/backends/) — Install/remove backends on the fly via OCI images
+- Voice Activity Detection (Silero-VAD)
+- Integrated WebUI
 
+## Supported Backends & Acceleration
 
-### 🔗 Community and integrations
+LocalAI supports **36+ backends** including llama.cpp, vLLM, transformers, whisper.cpp, diffusers, MLX, MLX-VLM, and many more. Hardware acceleration is available for **NVIDIA** (CUDA 12/13), **AMD** (ROCm), **Intel** (oneAPI/SYCL), **Apple Silicon** (Metal), **Vulkan**, and **NVIDIA Jetson** (L4T). All backends can be installed on-the-fly from the [Backend Gallery](https://localai.io/backends/).
 
-Build and deploy custom containers:
-- https://github.com/sozercan/aikit
+See the full [Backend & Model Compatibility Table](https://localai.io/model-compatibility/) and [GPU Acceleration guide](https://localai.io/features/gpu-acceleration/).
 
-WebUIs:
-- https://github.com/Jirubizu/localai-admin
-- https://github.com/go-skynet/LocalAI-frontend
-- QA-Pilot(An interactive chat project that leverages LocalAI LLMs for rapid understanding and navigation of GitHub code repository) https://github.com/reid41/QA-Pilot
+## Resources
 
-Model galleries
-- https://github.com/go-skynet/model-gallery
+- [Documentation](https://localai.io/)
+- [LLM fine-tuning guide](https://localai.io/docs/advanced/fine-tuning/)
+- [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)
 
-Other:
-- Helm chart https://github.com/go-skynet/helm-charts
-- VSCode extension https://github.com/badgooooor/localai-vscode-plugin
-- Langchain: https://python.langchain.com/docs/integrations/providers/localai/
-- Terminal utility https://github.com/djcopley/ShellOracle
-- Local Smart assistant https://github.com/mudler/LocalAGI
-- Home Assistant https://github.com/sammcj/homeassistant-localai / https://github.com/drndos/hass-openai-custom-conversation / https://github.com/valentinfrlch/ha-gpt4vision
-- Discord bot https://github.com/mudler/LocalAGI/tree/main/examples/discord
-- Slack bot https://github.com/mudler/LocalAGI/tree/main/examples/slack
-- Shell-Pilot(Interact with LLM using LocalAI models via pure shell scripts on your Linux or MacOS system) https://github.com/reid41/shell-pilot
-- Telegram bot https://github.com/mudler/LocalAI/tree/master/examples/telegram-bot
-- Another Telegram Bot https://github.com/JackBekket/Hellper
-- Auto-documentation https://github.com/JackBekket/Reflexia
-- Github bot which answer on issues, with code and documentation as context https://github.com/JackBekket/GitHelper
-- Github Actions: https://github.com/marketplace/actions/start-localai
-- Examples: https://github.com/mudler/LocalAI/tree/master/examples/
-  
+## Autonomous Development Team
 
-### 🔗 Resources
+LocalAI is helped being maintained by a team of autonomous AI agents led by an AI Scrum Master.
 
-- [LLM finetuning guide](https://localai.io/docs/advanced/fine-tuning/)
-- [How to build locally](https://localai.io/basics/build/index.html)
-- [How to install in Kubernetes](https://localai.io/basics/getting_started/index.html#run-localai-in-kubernetes)
-- [Projects integrating LocalAI](https://localai.io/docs/integrations/)
-- [How tos section](https://io.midori-ai.xyz/howtos/) (curated by our community)
-
-## :book: 🎥 [Media, Blogs, Social](https://localai.io/basics/news/#media-blogs-social)
-
-- [Run Visual studio code with LocalAI (SUSE)](https://www.suse.com/c/running-ai-locally/)
-- 🆕 [Run LocalAI on Jetson Nano Devkit](https://mudler.pm/posts/local-ai-jetson-nano-devkit/)
-- [Run LocalAI on AWS EKS with Pulumi](https://www.pulumi.com/blog/low-code-llm-apps-with-local-ai-flowise-and-pulumi/)
-- [Run LocalAI on AWS](https://staleks.hashnode.dev/installing-localai-on-aws-ec2-instance)
-- [Create a slackbot for teams and OSS projects that answer to documentation](https://mudler.pm/posts/smart-slackbot-for-teams/)
-- [LocalAI meets k8sgpt](https://www.youtube.com/watch?v=PKrDNuJ_dfE)
-- [Question Answering on Documents locally with LangChain, LocalAI, Chroma, and GPT4All](https://mudler.pm/posts/localai-question-answering/)
-- [Tutorial to use k8sgpt with LocalAI](https://medium.com/@tyler_97636/k8sgpt-localai-unlock-kubernetes-superpowers-for-free-584790de9b65)
+- **Live Reports**: [reports.localai.io](http://reports.localai.io)
+- **Project Board**: [Agent task tracking](https://github.com/users/mudler/projects/6)
+- **Blog Post**: [Learn about the experiment](https://mudler.pm/posts/2026/02/28/a-call-to-open-source-maintainers-stop-babysitting-ai-how-i-built-a-100-local-autonomous-dev-team-to-maintain-localai-and-why-you-should-too/)
 
 ## Citation
 
@@ -297,7 +222,7 @@ If you utilize this repository, data in a downstream project, please consider ci
   howpublished = {\url{https://github.com/go-skynet/LocalAI}},
 ```
 
-## ❤️ Sponsors
+## Sponsors
 
 > Do you find LocalAI useful?
 
@@ -314,17 +239,21 @@ A huge thank you to our generous sponsors who support this project covering CI e
   </a>
 </p>
 
-## 🌟 Star history
+### Individual sponsors
+
+A special thanks to individual sponsors, a full list is on [GitHub](https://github.com/sponsors/mudler) and [buymeacoffee](https://buymeacoffee.com/mudler). Special shout out to [drikster80](https://github.com/drikster80) for being generous. Thank you everyone!
+
+## Star history
 
 [![LocalAI Star history Chart](https://api.star-history.com/svg?repos=go-skynet/LocalAI&type=Date)](https://star-history.com/#go-skynet/LocalAI&Date)
 
-## 📖 License
+## License
 
 LocalAI is a community-driven project created by [Ettore Di Giacinto](https://github.com/mudler/).
 
 MIT - Author Ettore Di Giacinto <mudler@localai.io>
 
-## 🙇 Acknowledgements
+## Acknowledgements
 
 LocalAI couldn't have been built without the help of great software already available from the community. Thank you!
 
@@ -335,10 +264,11 @@ LocalAI couldn't have been built without the help of great software already avai
 - https://github.com/EdVince/Stable-Diffusion-NCNN
 - https://github.com/ggerganov/whisper.cpp
 - https://github.com/rhasspy/piper
+- [exo](https://github.com/exo-explore/exo) for the MLX distributed auto-parallel sharding implementation
 
-## 🤗 Contributors
+## Contributors
 
-This is a community project, a special thanks to our contributors! 🤗
+This is a community project, a special thanks to our contributors!
 <a href="https://github.com/go-skynet/LocalAI/graphs/contributors">
   <img src="https://contrib.rocks/image?repo=go-skynet/LocalAI" />
 </a>

SECURITY.md

@@ -8,10 +8,24 @@ At LocalAI, we take the security of our software seriously. We understand the im
 
 We provide support and updates for certain versions of our software. The following table outlines which versions are currently supported with security updates:
 
-| Version | Supported          |
-| ------- | ------------------ |
-| > 2.0   | :white_check_mark: |
-| < 2.0   | :x:                |
+| Version Series | Support Level | Details |
+| -------------- | ------------- | ------- |
+| 3.x | :white_check_mark: Actively supported | Full security updates and bug fixes for the latest minor versions. |
+| 2.x | :warning: Security fixes only | Critical security patches only, until **December 31, 2025**. |
+| 1.x | :x: End-of-life (EOL) | No longer supported as of **January 1, 2024**. No security fixes will be provided. |
+
+### What each support level means
+
+- **Actively supported (3.x):** Receives all security updates, bug fixes, and new features. Users should stay on the latest 3.x minor release for the best protection.
+- **Security fixes only (2.x):** Receives only critical security patches (e.g., remote code execution, authentication bypass, data exposure). No bug fixes or new features. Support ends December 31, 2025.
+- **End-of-life (1.x):** No updates of any kind. Users on 1.x are strongly encouraged to upgrade immediately, as known vulnerabilities will not be patched.
+
+### Migrating from older versions
+
+If you are running an unsupported or soon-to-be-unsupported version, we recommend upgrading as soon as possible:
+
+- **From 1.x to 3.x:** Version 1.x reached end-of-life on January 1, 2024. Review the [release notes](https://github.com/mudler/LocalAI/releases) for breaking changes across major versions, and upgrade directly to the latest 3.x release.
+- **From 2.x to 3.x:** While 2.x still receives critical security patches until December 31, 2025, we recommend planning your migration to 3.x to benefit from ongoing improvements and full support.
 
 Please ensure that you are using a supported version to receive the latest security updates.
 

aio/cpu/README.md

@@ -1,5 +0,0 @@
-## AIO CPU size
-
-Use this image with CPU-only.
-
-Please keep using only C++ backends so the base image is as small as possible (without CUDA, cuDNN, python, etc).

aio/cpu/embeddings.yaml

@@ -1,13 +0,0 @@
-embeddings: true
-name: text-embedding-ada-002
-backend: llama-cpp
-parameters:
-  model: huggingface://bartowski/granite-embedding-107m-multilingual-GGUF/granite-embedding-107m-multilingual-f16.gguf
-
-usage: |
-    You can test this model with curl like this:
-
-    curl http://localhost:8080/embeddings -X POST -H "Content-Type: application/json" -d '{
-      "input": "Your text string goes here",
-      "model": "text-embedding-ada-002"
-    }'

aio/cpu/rerank.yaml

@@ -1,33 +0,0 @@
-name: jina-reranker-v1-base-en
-reranking: true
-f16: true
-parameters:
-  model: jina-reranker-v1-tiny-en.f16.gguf
-backend: llama-cpp
-download_files:
-  - filename: jina-reranker-v1-tiny-en.f16.gguf
-    sha256: 5f696cf0d0f3d347c4a279eee8270e5918554cdac0ed1f632f2619e4e8341407
-    uri: huggingface://mradermacher/jina-reranker-v1-tiny-en-GGUF/jina-reranker-v1-tiny-en.f16.gguf 
-
-usage: |
-    You can test this model with curl like this:
-
-    curl http://localhost:8080/v1/rerank \
-      -H "Content-Type: application/json" \
-      -d '{
-      "model": "jina-reranker-v1-base-en",
-      "query": "Organic skincare products for sensitive skin",
-      "documents": [
-        "Eco-friendly kitchenware for modern homes",
-        "Biodegradable cleaning supplies for eco-conscious consumers",
-        "Organic cotton baby clothes for sensitive skin",
-        "Natural organic skincare range for sensitive skin",
-        "Tech gadgets for smart homes: 2024 edition",
-        "Sustainable gardening tools and compost solutions",
-        "Sensitive skin-friendly facial cleansers and toners",
-        "Organic food wraps and storage solutions",
-        "All-natural pet food for dogs with allergies",
-        "Yoga mats made from recycled materials"
-      ],
-      "top_n": 3
-    }'

aio/cpu/speech-to-text.yaml

@@ -1,18 +0,0 @@
-name: whisper-1
-backend: whisper
-parameters:
-  model: ggml-whisper-base.bin
-
-usage: |
-    ## example audio file
-    wget --quiet --show-progress -O gb1.ogg https://upload.wikimedia.org/wikipedia/commons/1/1f/George_W_Bush_Columbia_FINAL.ogg
-
-    ## Send the example audio file to the transcriptions endpoint
-    curl http://localhost:8080/v1/audio/transcriptions \
-         -H "Content-Type: multipart/form-data" \
-         -F file="@$PWD/gb1.ogg" -F model="whisper-1"
-
-download_files:
-- filename: "ggml-whisper-base.bin"
-  sha256: "60ed5bc3dd14eea856493d334349b405782ddcaf0028d4b5df4088345fba2efe"
-  uri: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base.bin"

aio/cpu/text-to-speech.yaml

@@ -1,15 +0,0 @@
-name: tts-1
-download_files:
-  - filename: voice-en-us-amy-low.tar.gz
-    uri: https://github.com/rhasspy/piper/releases/download/v0.0.2/voice-en-us-amy-low.tar.gz
-backend: piper
-parameters:
-  model: en-us-amy-low.onnx
-
-usage: |
-    To test if this model works as expected, you can use the following curl command:
-
-    curl http://localhost:8080/tts -H "Content-Type: application/json" -d '{
-      "model":"voice-en-us-amy-low",
-      "input": "Hi, this is a test."
-    }'

aio/cpu/vad.yaml

@@ -1,8 +0,0 @@
-backend: silero-vad
-name: silero-vad
-parameters:
-  model: silero-vad.onnx
-download_files:
-- filename: silero-vad.onnx
-  uri: https://huggingface.co/onnx-community/silero-vad/resolve/main/onnx/model.onnx
-  sha256: a4a068cd6cf1ea8355b84327595838ca748ec29a25bc91fc82e6c299ccdc5808

aio/cpu/vision.yaml

@@ -1,50 +0,0 @@
-context_size: 4096
-f16: true
-backend: llama-cpp
-mmap: true
-mmproj: minicpm-v-2_6-mmproj-f16.gguf
-name: gpt-4o
-parameters:
-  model: minicpm-v-2_6-Q4_K_M.gguf
-stopwords:
-- <|im_end|>
-- <dummy32000>
-- </s>
-- <|endoftext|>
-template:
-  chat: |
-    {{.Input -}}
-    <|im_start|>assistant
-  chat_message: |
-    <|im_start|>{{ .RoleName }}
-    {{ if .FunctionCall -}}
-    Function call:
-    {{ else if eq .RoleName "tool" -}}
-    Function response:
-    {{ end -}}
-    {{ if .Content -}}
-    {{.Content }}
-    {{ end -}}
-    {{ if .FunctionCall -}}
-    {{toJson .FunctionCall}}
-    {{ end -}}<|im_end|>
-  completion: |
-    {{.Input}}
-  function: |
-    <|im_start|>system
-    You are a function calling AI model. You are provided with functions to execute. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools:
-    {{range .Functions}}
-    {'type': 'function', 'function': {'name': '{{.Name}}', 'description': '{{.Description}}', 'parameters': {{toJson .Parameters}} }}
-    {{end}}
-    For each function call return a json object with function name and arguments
-    <|im_end|>
-    {{.Input -}}
-    <|im_start|>assistant
-
-download_files:
-- filename: minicpm-v-2_6-Q4_K_M.gguf
-  sha256: 3a4078d53b46f22989adbf998ce5a3fd090b6541f112d7e936eb4204a04100b1
-  uri: huggingface://openbmb/MiniCPM-V-2_6-gguf/ggml-model-Q4_K_M.gguf
-- filename: minicpm-v-2_6-mmproj-f16.gguf
-  uri: huggingface://openbmb/MiniCPM-V-2_6-gguf/mmproj-model-f16.gguf
-  sha256: 4485f68a0f1aa404c391e788ea88ea653c100d8e98fe572698f701e5809711fd

aio/entrypoint.sh

@@ -1,138 +0,0 @@
-#!/bin/bash
-
-echo "===> LocalAI All-in-One (AIO) container starting..."
-
-GPU_ACCELERATION=false
-GPU_VENDOR=""
-
-function check_intel() {
-    if lspci | grep -E 'VGA|3D' | grep -iq intel; then
-        echo "Intel GPU detected"
-        if [ -d /opt/intel ]; then
-            GPU_ACCELERATION=true
-            GPU_VENDOR=intel
-        else
-            echo "Intel GPU detected, but Intel GPU drivers are not installed. GPU acceleration will not be available."
-        fi
-    fi
-}
-
-function check_nvidia_wsl() {
-    if lspci | grep -E 'VGA|3D' | grep -iq "Microsoft Corporation Device 008e"; then
-        # We make the assumption this WSL2 cars is NVIDIA, then check for nvidia-smi
-        # Make sure the container was run with `--gpus all` as the only required parameter
-        echo "NVIDIA GPU detected via WSL2"
-        # nvidia-smi should be installed in the container
-        if nvidia-smi; then
-            GPU_ACCELERATION=true
-            GPU_VENDOR=nvidia
-        else
-            echo "NVIDIA GPU detected via WSL2, but nvidia-smi is not installed. GPU acceleration will not be available."
-        fi
-    fi
-}
-
-function check_amd() {
-    if lspci | grep -E 'VGA|3D' | grep -iq amd; then
-        echo "AMD GPU detected"
-        # Check if ROCm is installed
-        if [ -d /opt/rocm ]; then
-            GPU_ACCELERATION=true
-            GPU_VENDOR=amd
-        else
-            echo "AMD GPU detected, but ROCm is not installed. GPU acceleration will not be available."
-        fi
-    fi
-}
-
-function check_nvidia() {
-    if lspci | grep -E 'VGA|3D' | grep -iq nvidia; then
-        echo "NVIDIA GPU detected"
-        # nvidia-smi should be installed in the container
-        if nvidia-smi; then
-            GPU_ACCELERATION=true
-            GPU_VENDOR=nvidia
-        else
-            echo "NVIDIA GPU detected, but nvidia-smi is not installed. GPU acceleration will not be available."
-        fi
-    fi
-}
-
-function check_metal() {
-    if system_profiler SPDisplaysDataType | grep -iq 'Metal'; then
-        echo "Apple Metal supported GPU detected"
-        GPU_ACCELERATION=true
-        GPU_VENDOR=apple
-    fi
-}
-
-function detect_gpu() {
-    case "$(uname -s)" in
-        Linux)
-            check_nvidia
-            check_amd
-            check_intel
-            check_nvidia_wsl
-            ;;
-        Darwin)
-            check_metal
-            ;;
-    esac
-}
-
-function detect_gpu_size() {
-    # Attempting to find GPU memory size for NVIDIA GPUs
-    if [ "$GPU_ACCELERATION" = true ] && [ "$GPU_VENDOR" = "nvidia" ]; then
-        echo "NVIDIA GPU detected. Attempting to find memory size..."
-        # Using head -n 1 to get the total memory of the 1st NVIDIA GPU detected.
-        # If handling multiple GPUs is required in the future, this is the place to do it
-        nvidia_sm=$(nvidia-smi --query-gpu=memory.total --format=csv,noheader,nounits | head -n 1)
-        if [ ! -z "$nvidia_sm" ]; then
-            echo "Total GPU Memory: $nvidia_sm MiB"
-            # if bigger than 8GB, use 16GB
-            #if [ "$nvidia_sm" -gt 8192 ]; then
-            #    GPU_SIZE=gpu-16g
-            #else
-            GPU_SIZE=gpu-8g
-            #fi
-        else
-            echo "Unable to determine NVIDIA GPU memory size. Falling back to CPU."
-            GPU_SIZE=gpu-8g
-        fi
-    elif [ "$GPU_ACCELERATION" = true ] && [ "$GPU_VENDOR" = "intel" ]; then
-        GPU_SIZE=intel
-    # Default to a generic GPU size until we implement GPU size detection for non NVIDIA GPUs
-    elif [ "$GPU_ACCELERATION" = true ]; then
-        echo "Non-NVIDIA GPU detected. Specific GPU memory size detection is not implemented."
-        GPU_SIZE=gpu-8g
-
-    # default to cpu if GPU_SIZE is not set
-    else
-        echo "GPU acceleration is not enabled or supported. Defaulting to CPU."
-        GPU_SIZE=cpu
-    fi
-}
-
-function check_vars() {
-    if [ -z "$MODELS" ]; then
-        echo "MODELS environment variable is not set. Please set it to a comma-separated list of model YAML files to load."
-        exit 1
-    fi
-
-    if [ -z "$PROFILE" ]; then
-        echo "PROFILE environment variable is not set. Please set it to one of the following: cpu, gpu-8g, gpu-16g, apple"
-        exit 1
-    fi
-}
-
-detect_gpu
-detect_gpu_size
-
-PROFILE="${PROFILE:-$GPU_SIZE}" # default to cpu
-export MODELS="${MODELS:-/aio/${PROFILE}/embeddings.yaml,/aio/${PROFILE}/rerank.yaml,/aio/${PROFILE}/text-to-speech.yaml,/aio/${PROFILE}/image-gen.yaml,/aio/${PROFILE}/text-to-text.yaml,/aio/${PROFILE}/speech-to-text.yaml,/aio/${PROFILE}/vad.yaml,/aio/${PROFILE}/vision.yaml}"
-
-check_vars
-
-echo "===> Starting LocalAI[$PROFILE] with the following models: $MODELS"
-
-exec /entrypoint.sh "$@"

aio/gpu-8g/embeddings.yaml

@@ -1,13 +0,0 @@
-embeddings: true
-name: text-embedding-ada-002
-backend: llama-cpp
-parameters:
-  model: huggingface://bartowski/granite-embedding-107m-multilingual-GGUF/granite-embedding-107m-multilingual-f16.gguf
-
-usage: |
-    You can test this model with curl like this:
-
-    curl http://localhost:8080/embeddings -X POST -H "Content-Type: application/json" -d '{
-      "input": "Your text string goes here",
-      "model": "text-embedding-ada-002"
-    }'

aio/gpu-8g/image-gen.yaml

@@ -1,25 +0,0 @@
-name: stablediffusion
-parameters:
-  model: DreamShaper_8_pruned.safetensors
-backend: diffusers
-step: 25
-f16: true
-
-diffusers:
-  pipeline_type: StableDiffusionPipeline
-  cuda: true
-  enable_parameters: "negative_prompt,num_inference_steps"
-  scheduler_type: "k_dpmpp_2m"
-
-download_files:
-- filename: DreamShaper_8_pruned.safetensors
-  uri: huggingface://Lykon/DreamShaper/DreamShaper_8_pruned.safetensors
-
-usage: |
-        curl http://localhost:8080/v1/images/generations \
-          -H "Content-Type: application/json" \
-          -d '{
-            "prompt": "<positive prompt>|<negative prompt>",
-            "step": 25,
-            "size": "512x512"
-          }'

aio/gpu-8g/rerank.yaml

@@ -1,33 +0,0 @@
-name: jina-reranker-v1-base-en
-reranking: true
-f16: true
-parameters:
-  model: jina-reranker-v1-tiny-en.f16.gguf
-backend: llama-cpp
-download_files:
-  - filename: jina-reranker-v1-tiny-en.f16.gguf
-    sha256: 5f696cf0d0f3d347c4a279eee8270e5918554cdac0ed1f632f2619e4e8341407
-    uri: huggingface://mradermacher/jina-reranker-v1-tiny-en-GGUF/jina-reranker-v1-tiny-en.f16.gguf 
-
-usage: |
-    You can test this model with curl like this:
-
-    curl http://localhost:8080/v1/rerank \
-      -H "Content-Type: application/json" \
-      -d '{
-      "model": "jina-reranker-v1-base-en",
-      "query": "Organic skincare products for sensitive skin",
-      "documents": [
-        "Eco-friendly kitchenware for modern homes",
-        "Biodegradable cleaning supplies for eco-conscious consumers",
-        "Organic cotton baby clothes for sensitive skin",
-        "Natural organic skincare range for sensitive skin",
-        "Tech gadgets for smart homes: 2024 edition",
-        "Sustainable gardening tools and compost solutions",
-        "Sensitive skin-friendly facial cleansers and toners",
-        "Organic food wraps and storage solutions",
-        "All-natural pet food for dogs with allergies",
-        "Yoga mats made from recycled materials"
-      ],
-      "top_n": 3
-    }'

aio/gpu-8g/speech-to-text.yaml

@@ -1,18 +0,0 @@
-name: whisper-1
-backend: whisper
-parameters:
-  model: ggml-whisper-base.bin
-
-usage: |
-    ## example audio file
-    wget --quiet --show-progress -O gb1.ogg https://upload.wikimedia.org/wikipedia/commons/1/1f/George_W_Bush_Columbia_FINAL.ogg
-
-    ## Send the example audio file to the transcriptions endpoint
-    curl http://localhost:8080/v1/audio/transcriptions \
-         -H "Content-Type: multipart/form-data" \
-         -F file="@$PWD/gb1.ogg" -F model="whisper-1"
-
-download_files:
-- filename: "ggml-whisper-base.bin"
-  sha256: "60ed5bc3dd14eea856493d334349b405782ddcaf0028d4b5df4088345fba2efe"
-  uri: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base.bin"

aio/gpu-8g/text-to-speech.yaml

@@ -1,15 +0,0 @@
-name: tts-1
-download_files:
-  - filename: voice-en-us-amy-low.tar.gz
-    uri: https://github.com/rhasspy/piper/releases/download/v0.0.2/voice-en-us-amy-low.tar.gz
-backend: piper
-parameters:
-  model: en-us-amy-low.onnx
-
-usage: |
-    To test if this model works as expected, you can use the following curl command:
-
-    curl http://localhost:8080/tts -H "Content-Type: application/json" -d '{
-      "model":"tts-1",
-      "input": "Hi, this is a test."
-    }'

aio/gpu-8g/text-to-text.yaml

@@ -1,54 +0,0 @@
-context_size: 4096
-f16: true
-backend: llama-cpp
-function:
-  capture_llm_results:
-  - (?s)<Thought>(.*?)</Thought>
-  grammar:
-    properties_order: name,arguments
-  json_regex_match:
-  - (?s)<Output>(.*?)</Output>
-  replace_llm_results:
-  - key: (?s)<Thought>(.*?)</Thought>
-    value: ""
-mmap: true
-name: gpt-4
-parameters:
-  model: localai-functioncall-qwen2.5-7b-v0.5-q4_k_m.gguf
-stopwords:
-- <|im_end|>
-- <dummy32000>
-- </s>
-template:
-  chat: |
-    {{.Input -}}
-    <|im_start|>assistant
-  chat_message: |
-    <|im_start|>{{ .RoleName }}
-    {{ if .FunctionCall -}}
-    Function call:
-    {{ else if eq .RoleName "tool" -}}
-    Function response:
-    {{ end -}}
-    {{ if .Content -}}
-    {{.Content }}
-    {{ end -}}
-    {{ if .FunctionCall -}}
-    {{toJson .FunctionCall}}
-    {{ end -}}<|im_end|>
-  completion: |
-    {{.Input}}
-  function: |
-    <|im_start|>system
-    You are an AI assistant that executes function calls, and these are the tools at your disposal:
-    {{range .Functions}}
-    {'type': 'function', 'function': {'name': '{{.Name}}', 'description': '{{.Description}}', 'parameters': {{toJson .Parameters}} }}
-    {{end}}
-    <|im_end|>
-    {{.Input -}}
-    <|im_start|>assistant
-
-download_files:
-- filename: localai-functioncall-qwen2.5-7b-v0.5-q4_k_m.gguf
-  sha256: 4e7b7fe1d54b881f1ef90799219dc6cc285d29db24f559c8998d1addb35713d4
-  uri: huggingface://mudler/LocalAI-functioncall-qwen2.5-7b-v0.5-Q4_K_M-GGUF/localai-functioncall-qwen2.5-7b-v0.5-q4_k_m.gguf

aio/gpu-8g/vad.yaml

@@ -1,8 +0,0 @@
-backend: silero-vad
-name: silero-vad
-parameters:
-  model: silero-vad.onnx
-download_files:
-- filename: silero-vad.onnx
-  uri: https://huggingface.co/onnx-community/silero-vad/resolve/main/onnx/model.onnx
-  sha256: a4a068cd6cf1ea8355b84327595838ca748ec29a25bc91fc82e6c299ccdc5808

aio/gpu-8g/vision.yaml

@@ -1,50 +0,0 @@
-context_size: 4096
-backend: llama-cpp
-f16: true
-mmap: true
-mmproj: minicpm-v-2_6-mmproj-f16.gguf
-name: gpt-4o
-parameters:
-  model: minicpm-v-2_6-Q4_K_M.gguf
-stopwords:
-- <|im_end|>
-- <dummy32000>
-- </s>
-- <|endoftext|>
-template:
-  chat: |
-    {{.Input -}}
-    <|im_start|>assistant
-  chat_message: |
-    <|im_start|>{{ .RoleName }}
-    {{ if .FunctionCall -}}
-    Function call:
-    {{ else if eq .RoleName "tool" -}}
-    Function response:
-    {{ end -}}
-    {{ if .Content -}}
-    {{.Content }}
-    {{ end -}}
-    {{ if .FunctionCall -}}
-    {{toJson .FunctionCall}}
-    {{ end -}}<|im_end|>
-  completion: |
-    {{.Input}}
-  function: |
-    <|im_start|>system
-    You are a function calling AI model. You are provided with functions to execute. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions. Here are the available tools:
-    {{range .Functions}}
-    {'type': 'function', 'function': {'name': '{{.Name}}', 'description': '{{.Description}}', 'parameters': {{toJson .Parameters}} }}
-    {{end}}
-    For each function call return a json object with function name and arguments
-    <|im_end|>
-    {{.Input -}}
-    <|im_start|>assistant
-
-download_files:
-- filename: minicpm-v-2_6-Q4_K_M.gguf
-  sha256: 3a4078d53b46f22989adbf998ce5a3fd090b6541f112d7e936eb4204a04100b1
-  uri: huggingface://openbmb/MiniCPM-V-2_6-gguf/ggml-model-Q4_K_M.gguf
-- filename: minicpm-v-2_6-mmproj-f16.gguf
-  uri: huggingface://openbmb/MiniCPM-V-2_6-gguf/mmproj-model-f16.gguf
-  sha256: 4485f68a0f1aa404c391e788ea88ea653c100d8e98fe572698f701e5809711fd

aio/intel/embeddings.yaml

@@ -1,13 +0,0 @@
-embeddings: true
-name: text-embedding-ada-002
-backend: llama-cpp
-parameters:
-  model: huggingface://bartowski/granite-embedding-107m-multilingual-GGUF/granite-embedding-107m-multilingual-f16.gguf
-
-usage: |
-    You can test this model with curl like this:
-
-    curl http://localhost:8080/embeddings -X POST -H "Content-Type: application/json" -d '{
-      "input": "Your text string goes here",
-      "model": "text-embedding-ada-002"
-    }'

aio/intel/image-gen.yaml

@@ -1,20 +0,0 @@
-name: stablediffusion
-parameters:
-  model: Lykon/dreamshaper-8
-backend: diffusers
-step: 25
-f16: true
-diffusers:
-  pipeline_type: StableDiffusionPipeline
-  cuda: true
-  enable_parameters: "negative_prompt,num_inference_steps"
-  scheduler_type: "k_dpmpp_2m"
-
-usage: |
-        curl http://localhost:8080/v1/images/generations \
-          -H "Content-Type: application/json" \
-          -d '{
-            "prompt": "<positive prompt>|<negative prompt>",
-            "step": 25,
-            "size": "512x512"
-          }'

aio/intel/rerank.yaml

@@ -1,33 +0,0 @@
-name: jina-reranker-v1-base-en
-reranking: true
-f16: true
-parameters:
-  model: jina-reranker-v1-tiny-en.f16.gguf
-backend: llama-cpp
-download_files:
-  - filename: jina-reranker-v1-tiny-en.f16.gguf
-    sha256: 5f696cf0d0f3d347c4a279eee8270e5918554cdac0ed1f632f2619e4e8341407
-    uri: huggingface://mradermacher/jina-reranker-v1-tiny-en-GGUF/jina-reranker-v1-tiny-en.f16.gguf 
-
-usage: |
-    You can test this model with curl like this:
-
-    curl http://localhost:8080/v1/rerank \
-      -H "Content-Type: application/json" \
-      -d '{
-      "model": "jina-reranker-v1-base-en",
-      "query": "Organic skincare products for sensitive skin",
-      "documents": [
-        "Eco-friendly kitchenware for modern homes",
-        "Biodegradable cleaning supplies for eco-conscious consumers",
-        "Organic cotton baby clothes for sensitive skin",
-        "Natural organic skincare range for sensitive skin",
-        "Tech gadgets for smart homes: 2024 edition",
-        "Sustainable gardening tools and compost solutions",
-        "Sensitive skin-friendly facial cleansers and toners",
-        "Organic food wraps and storage solutions",
-        "All-natural pet food for dogs with allergies",
-        "Yoga mats made from recycled materials"
-      ],
-      "top_n": 3
-    }'

aio/intel/speech-to-text.yaml

@@ -1,18 +0,0 @@
-name: whisper-1
-backend: whisper
-parameters:
-  model: ggml-whisper-base.bin
-
-usage: |
-    ## example audio file
-    wget --quiet --show-progress -O gb1.ogg https://upload.wikimedia.org/wikipedia/commons/1/1f/George_W_Bush_Columbia_FINAL.ogg
-
-    ## Send the example audio file to the transcriptions endpoint
-    curl http://localhost:8080/v1/audio/transcriptions \
-         -H "Content-Type: multipart/form-data" \
-         -F file="@$PWD/gb1.ogg" -F model="whisper-1"
-
-download_files:
-- filename: "ggml-whisper-base.bin"
-  sha256: "60ed5bc3dd14eea856493d334349b405782ddcaf0028d4b5df4088345fba2efe"
-  uri: "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-base.bin"

aio/intel/text-to-speech.yaml

@@ -1,15 +0,0 @@
-name: tts-1
-download_files:
-  - filename: voice-en-us-amy-low.tar.gz
-    uri: https://github.com/rhasspy/piper/releases/download/v0.0.2/voice-en-us-amy-low.tar.gz
-backend: piper
-parameters:
-  model: en-us-amy-low.onnx
-
-usage: |
-    To test if this model works as expected, you can use the following curl command:
-
-    curl http://localhost:8080/tts -H "Content-Type: application/json" -d '{
-      "model":"tts-1",
-      "input": "Hi, this is a test."
-    }'

aio/intel/text-to-text.yaml

@@ -1,54 +0,0 @@
-context_size: 4096
-f16: true
-backend: llama-cpp
-function:
-  capture_llm_results:
-  - (?s)<Thought>(.*?)</Thought>
-  grammar:
-    properties_order: name,arguments
-  json_regex_match:
-  - (?s)<Output>(.*?)</Output>
-  replace_llm_results:
-  - key: (?s)<Thought>(.*?)</Thought>
-    value: ""
-mmap: true
-name: gpt-4
-parameters:
-  model: localai-functioncall-qwen2.5-7b-v0.5-q4_k_m.gguf
-stopwords:
-- <|im_end|>
-- <dummy32000>
-- </s>
-template:
-  chat: |
-    {{.Input -}}
-    <|im_start|>assistant
-  chat_message: |
-    <|im_start|>{{ .RoleName }}
-    {{ if .FunctionCall -}}
-    Function call:
-    {{ else if eq .RoleName "tool" -}}
-    Function response:
-    {{ end -}}
-    {{ if .Content -}}
-    {{.Content }}
-    {{ end -}}
-    {{ if .FunctionCall -}}
-    {{toJson .FunctionCall}}
-    {{ end -}}<|im_end|>
-  completion: |
-    {{.Input}}
-  function: |
-    <|im_start|>system
-    You are an AI assistant that executes function calls, and these are the tools at your disposal:
-    {{range .Functions}}
-    {'type': 'function', 'function': {'name': '{{.Name}}', 'description': '{{.Description}}', 'parameters': {{toJson .Parameters}} }}
-    {{end}}
-    <|im_end|>
-    {{.Input -}}
-    <|im_start|>assistant
-
-download_files:
-- filename: localai-functioncall-phi-4-v0.3-q4_k_m.gguf
-  sha256: 23fee048ded2a6e2e1a7b6bbefa6cbf83068f194caa9552aecbaa00fec8a16d5
-  uri: huggingface://mudler/LocalAI-functioncall-phi-4-v0.3-Q4_K_M-GGUF/localai-functioncall-phi-4-v0.3-q4_k_m.gguf

backend/Dockerfile.golang

@@ -1,4 +1,4 @@
-ARG BASE_IMAGE=ubuntu:22.04
+ARG BASE_IMAGE=ubuntu:24.04
 
 FROM ${BASE_IMAGE} AS builder
 ARG BACKEND=rerankers
@@ -12,14 +12,15 @@ ENV CUDA_MINOR_VERSION=${CUDA_MINOR_VERSION}
 ENV DEBIAN_FRONTEND=noninteractive
 ARG TARGETARCH
 ARG TARGETVARIANT
-ARG GO_VERSION=1.22.6
+ARG GO_VERSION=1.25.4
+ARG UBUNTU_VERSION=2404
 
 RUN apt-get update && \
     apt-get install -y --no-install-recommends \
         build-essential \
         git ccache \
         ca-certificates \
-        make cmake \
+        make cmake wget libopenblas-dev \
         curl unzip \
         libssl-dev && \
     apt-get clean && \
@@ -32,17 +33,52 @@ ENV PATH=/usr/local/cuda/bin:${PATH}
 # HipBLAS requirements
 ENV PATH=/opt/rocm/bin:${PATH}
 
+
 # Vulkan requirements
 RUN <<EOT bash
     if [ "${BUILD_TYPE}" = "vulkan" ] && [ "${SKIP_DRIVERS}" = "false" ]; then
         apt-get update && \
         apt-get install -y  --no-install-recommends \
             software-properties-common pciutils wget gpg-agent && \
-        wget -qO - https://packages.lunarg.com/lunarg-signing-key-pub.asc | apt-key add - && \
-        wget -qO /etc/apt/sources.list.d/lunarg-vulkan-jammy.list https://packages.lunarg.com/vulkan/lunarg-vulkan-jammy.list && \
-        apt-get update && \
-        apt-get install -y \
-            vulkan-sdk && \
+        apt-get install -y libglm-dev cmake libxcb-dri3-0 libxcb-present0 libpciaccess0 \
+            libpng-dev libxcb-keysyms1-dev libxcb-dri3-dev libx11-dev g++ gcc \
+            libwayland-dev libxrandr-dev libxcb-randr0-dev libxcb-ewmh-dev \
+            git python-is-python3 bison libx11-xcb-dev liblz4-dev libzstd-dev \
+            ocaml-core ninja-build pkg-config libxml2-dev wayland-protocols python3-jsonschema \
+            clang-format qtbase5-dev qt6-base-dev libxcb-glx0-dev sudo xz-utils
+        if [ "amd64" = "$TARGETARCH" ]; then
+            wget "https://sdk.lunarg.com/sdk/download/1.4.335.0/linux/vulkansdk-linux-x86_64-1.4.335.0.tar.xz" && \
+            tar -xf vulkansdk-linux-x86_64-1.4.335.0.tar.xz && \
+            rm vulkansdk-linux-x86_64-1.4.335.0.tar.xz && \
+            mkdir -p /opt/vulkan-sdk && \
+            mv 1.4.335.0 /opt/vulkan-sdk/ && \
+            cd /opt/vulkan-sdk/1.4.335.0 && \
+            ./vulkansdk --no-deps --maxjobs \
+                vulkan-loader \
+                vulkan-validationlayers \
+                vulkan-extensionlayer \
+                vulkan-tools \
+                shaderc && \
+            cp -rfv /opt/vulkan-sdk/1.4.335.0/x86_64/bin/* /usr/bin/ && \
+            cp -rfv /opt/vulkan-sdk/1.4.335.0/x86_64/lib/* /usr/lib/x86_64-linux-gnu/ && \
+            cp -rfv /opt/vulkan-sdk/1.4.335.0/x86_64/include/* /usr/include/ && \
+            cp -rfv /opt/vulkan-sdk/1.4.335.0/x86_64/share/* /usr/share/ && \
+            rm -rf /opt/vulkan-sdk
+        fi
+        if [ "arm64" = "$TARGETARCH" ]; then
+            mkdir vulkan && cd vulkan && \
+            curl -L -o vulkan-sdk.tar.xz https://github.com/mudler/vulkan-sdk-arm/releases/download/1.4.335.0/vulkansdk-ubuntu-24.04-arm-1.4.335.0.tar.xz && \
+            tar -xvf vulkan-sdk.tar.xz && \
+            rm vulkan-sdk.tar.xz && \
+            cd 1.4.335.0 && \
+            cp -rfv aarch64/bin/* /usr/bin/ && \
+            cp -rfv aarch64/lib/* /usr/lib/aarch64-linux-gnu/ && \
+            cp -rfv aarch64/include/* /usr/include/ && \
+            cp -rfv aarch64/share/* /usr/share/ && \
+            cd ../.. && \
+            rm -rf vulkan
+        fi
+        ldconfig && \
         apt-get clean && \
         rm -rf /var/lib/apt/lists/*
     fi
@@ -50,15 +86,19 @@ EOT
 
 # CuBLAS requirements
 RUN <<EOT bash
-    if [ "${BUILD_TYPE}" = "cublas" ] && [ "${SKIP_DRIVERS}" = "false" ]; then
+    if ( [ "${BUILD_TYPE}" = "cublas" ] || [ "${BUILD_TYPE}" = "l4t" ] ) && [ "${SKIP_DRIVERS}" = "false" ]; then
         apt-get update && \
         apt-get install -y  --no-install-recommends \
             software-properties-common pciutils
         if [ "amd64" = "$TARGETARCH" ]; then
-            curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
+            curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu${UBUNTU_VERSION}/x86_64/cuda-keyring_1.1-1_all.deb
         fi
         if [ "arm64" = "$TARGETARCH" ]; then
-            curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/arm64/cuda-keyring_1.1-1_all.deb
+            if [ "${CUDA_MAJOR_VERSION}" = "13" ]; then
+                curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu${UBUNTU_VERSION}/sbsa/cuda-keyring_1.1-1_all.deb
+            else
+                curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu${UBUNTU_VERSION}/arm64/cuda-keyring_1.1-1_all.deb
+            fi
         fi
         dpkg -i cuda-keyring_1.1-1_all.deb && \
         rm -f cuda-keyring_1.1-1_all.deb && \
@@ -69,12 +109,31 @@ RUN <<EOT bash
             libcurand-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
             libcublas-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
             libcusparse-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
-            libcusolver-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} && \
+            libcusolver-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION}
+        if [ "${CUDA_MAJOR_VERSION}" = "13" ] && [ "arm64" = "$TARGETARCH" ]; then
+            apt-get install -y --no-install-recommends \
+            libcufile-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libcudnn9-cuda-${CUDA_MAJOR_VERSION} cuda-cupti-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libnvjitlink-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION}
+        fi
         apt-get clean && \
         rm -rf /var/lib/apt/lists/*
     fi
 EOT
 
+
+# https://github.com/NVIDIA/Isaac-GR00T/issues/343
+RUN <<EOT bash
+    if [ "${BUILD_TYPE}" = "cublas" ] && [ "${TARGETARCH}" = "arm64" ]; then
+        wget https://developer.download.nvidia.com/compute/cudss/0.6.0/local_installers/cudss-local-tegra-repo-ubuntu${UBUNTU_VERSION}-0.6.0_0.6.0-1_arm64.deb && \
+        dpkg -i cudss-local-tegra-repo-ubuntu${UBUNTU_VERSION}-0.6.0_0.6.0-1_arm64.deb && \
+        cp /var/cudss-local-tegra-repo-ubuntu${UBUNTU_VERSION}-0.6.0/cudss-*-keyring.gpg /usr/share/keyrings/ && \
+        apt-get update && apt-get -y install cudss cudss-cuda-${CUDA_MAJOR_VERSION} && \
+        wget https://developer.download.nvidia.com/compute/nvpl/25.5/local_installers/nvpl-local-repo-ubuntu${UBUNTU_VERSION}-25.5_1.0-1_arm64.deb && \
+        dpkg -i nvpl-local-repo-ubuntu${UBUNTU_VERSION}-25.5_1.0-1_arm64.deb && \
+        cp /var/nvpl-local-repo-ubuntu${UBUNTU_VERSION}-25.5/nvpl-*-keyring.gpg /usr/share/keyrings/ && \
+        apt-get update && apt-get install -y nvpl
+    fi
+EOT
+
 # If we are building with clblas support, we need the libraries for the builds
 RUN if [ "${BUILD_TYPE}" = "clblas" ] && [ "${SKIP_DRIVERS}" = "false" ]; then \
         apt-get update && \
@@ -121,8 +180,15 @@ RUN <<EOT bash
     fi
 EOT
 
+RUN if [ "${BACKEND}" = "opus" ]; then \
+    apt-get update && apt-get install -y --no-install-recommends libopus-dev pkg-config && \
+    apt-get clean && rm -rf /var/lib/apt/lists/*; \
+fi
+
 COPY . /LocalAI
 
+RUN git config --global --add safe.directory /LocalAI
+
 RUN cd /LocalAI && make protogen-go && make -C /LocalAI/backend/go/${BACKEND} build
 
 FROM scratch

backend/Dockerfile.ik-llama-cpp

@@ -0,0 +1,281 @@
+ARG BASE_IMAGE=ubuntu:24.04
+ARG GRPC_BASE_IMAGE=${BASE_IMAGE}
+
+
+# The grpc target does one thing, it builds and installs GRPC.  This is in it's own layer so that it can be effectively cached by CI.
+# You probably don't need to change anything here, and if you do, make sure that CI is adjusted so that the cache continues to work.
+FROM ${GRPC_BASE_IMAGE} AS grpc
+
+# This is a bit of a hack, but it's required in order to be able to effectively cache this layer in CI
+ARG GRPC_MAKEFLAGS="-j4 -Otarget"
+ARG GRPC_VERSION=v1.65.0
+ARG CMAKE_FROM_SOURCE=false
+# CUDA Toolkit 13.x compatibility: CMake 3.31.9+ fixes toolchain detection/arch table issues
+ARG CMAKE_VERSION=3.31.10
+
+ENV MAKEFLAGS=${GRPC_MAKEFLAGS}
+
+WORKDIR /build
+
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends \
+        ca-certificates \
+        build-essential curl libssl-dev \
+        git wget && \
+    apt-get clean && \
+    rm -rf /var/lib/apt/lists/*
+
+# Install CMake (the version in 22.04 is too old)
+RUN <<EOT bash
+    if [ "${CMAKE_FROM_SOURCE}" = "true" ]; then
+        curl -L -s https://github.com/Kitware/CMake/releases/download/v${CMAKE_VERSION}/cmake-${CMAKE_VERSION}.tar.gz -o cmake.tar.gz && tar xvf cmake.tar.gz && cd cmake-${CMAKE_VERSION} && ./configure && make && make install
+    else
+        apt-get update && \
+        apt-get install -y \
+            cmake && \
+        apt-get clean && \
+        rm -rf /var/lib/apt/lists/*
+    fi
+EOT
+
+# We install GRPC to a different prefix here so that we can copy in only the build artifacts later
+# saves several hundred MB on the final docker image size vs copying in the entire GRPC source tree
+# and running make install in the target container
+RUN git clone --recurse-submodules --jobs 4 -b ${GRPC_VERSION} --depth 1 --shallow-submodules https://github.com/grpc/grpc && \
+    mkdir -p /build/grpc/cmake/build && \
+    cd /build/grpc/cmake/build && \
+    sed -i "216i\  TESTONLY" "../../third_party/abseil-cpp/absl/container/CMakeLists.txt" && \
+    cmake -DgRPC_INSTALL=ON -DgRPC_BUILD_TESTS=OFF -DCMAKE_INSTALL_PREFIX:PATH=/opt/grpc ../.. && \
+    make && \
+    make install && \
+    rm -rf /build
+
+FROM ${BASE_IMAGE} AS builder
+ARG CMAKE_FROM_SOURCE=false
+ARG CMAKE_VERSION=3.31.10
+# We can target specific CUDA ARCHITECTURES like --build-arg CUDA_DOCKER_ARCH='75;86;89;120'
+ARG CUDA_DOCKER_ARCH
+ENV CUDA_DOCKER_ARCH=${CUDA_DOCKER_ARCH}
+ARG CMAKE_ARGS
+ENV CMAKE_ARGS=${CMAKE_ARGS}
+ARG BACKEND=rerankers
+ARG BUILD_TYPE
+ENV BUILD_TYPE=${BUILD_TYPE}
+ARG CUDA_MAJOR_VERSION
+ARG CUDA_MINOR_VERSION
+ARG SKIP_DRIVERS=false
+ENV CUDA_MAJOR_VERSION=${CUDA_MAJOR_VERSION}
+ENV CUDA_MINOR_VERSION=${CUDA_MINOR_VERSION}
+ENV DEBIAN_FRONTEND=noninteractive
+ARG TARGETARCH
+ARG TARGETVARIANT
+ARG GO_VERSION=1.25.4
+ARG UBUNTU_VERSION=2404
+
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends \
+        build-essential \
+        ccache git \
+        ca-certificates \
+        make \
+        pkg-config libcurl4-openssl-dev \
+        curl unzip \
+        libssl-dev wget && \
+    apt-get clean && \
+    rm -rf /var/lib/apt/lists/*
+
+# Cuda
+ENV PATH=/usr/local/cuda/bin:${PATH}
+
+# HipBLAS requirements
+ENV PATH=/opt/rocm/bin:${PATH}
+
+
+# Vulkan requirements
+RUN <<EOT bash
+    if [ "${BUILD_TYPE}" = "vulkan" ] && [ "${SKIP_DRIVERS}" = "false" ]; then
+        apt-get update && \
+        apt-get install -y  --no-install-recommends \
+            software-properties-common pciutils wget gpg-agent && \
+        apt-get install -y libglm-dev cmake libxcb-dri3-0 libxcb-present0 libpciaccess0 \
+            libpng-dev libxcb-keysyms1-dev libxcb-dri3-dev libx11-dev g++ gcc \
+            libwayland-dev libxrandr-dev libxcb-randr0-dev libxcb-ewmh-dev \
+            git python-is-python3 bison libx11-xcb-dev liblz4-dev libzstd-dev \
+            ocaml-core ninja-build pkg-config libxml2-dev wayland-protocols python3-jsonschema \
+            clang-format qtbase5-dev qt6-base-dev libxcb-glx0-dev sudo xz-utils
+        if [ "amd64" = "$TARGETARCH" ]; then
+            wget "https://sdk.lunarg.com/sdk/download/1.4.335.0/linux/vulkansdk-linux-x86_64-1.4.335.0.tar.xz" && \
+            tar -xf vulkansdk-linux-x86_64-1.4.335.0.tar.xz && \
+            rm vulkansdk-linux-x86_64-1.4.335.0.tar.xz && \
+            mkdir -p /opt/vulkan-sdk && \
+            mv 1.4.335.0 /opt/vulkan-sdk/ && \
+            cd /opt/vulkan-sdk/1.4.335.0 && \
+            ./vulkansdk --no-deps --maxjobs \
+                vulkan-loader \
+                vulkan-validationlayers \
+                vulkan-extensionlayer \
+                vulkan-tools \
+                shaderc && \
+            cp -rfv /opt/vulkan-sdk/1.4.335.0/x86_64/bin/* /usr/bin/ && \
+            cp -rfv /opt/vulkan-sdk/1.4.335.0/x86_64/lib/* /usr/lib/x86_64-linux-gnu/ && \
+            cp -rfv /opt/vulkan-sdk/1.4.335.0/x86_64/include/* /usr/include/ && \
+            cp -rfv /opt/vulkan-sdk/1.4.335.0/x86_64/share/* /usr/share/ && \
+            rm -rf /opt/vulkan-sdk
+        fi
+        if [ "arm64" = "$TARGETARCH" ]; then
+            mkdir vulkan && cd vulkan && \
+            curl -L -o vulkan-sdk.tar.xz https://github.com/mudler/vulkan-sdk-arm/releases/download/1.4.335.0/vulkansdk-ubuntu-24.04-arm-1.4.335.0.tar.xz && \
+            tar -xvf vulkan-sdk.tar.xz && \
+            rm vulkan-sdk.tar.xz && \
+            cd 1.4.335.0 && \
+            cp -rfv aarch64/bin/* /usr/bin/ && \
+            cp -rfv aarch64/lib/* /usr/lib/aarch64-linux-gnu/ && \
+            cp -rfv aarch64/include/* /usr/include/ && \
+            cp -rfv aarch64/share/* /usr/share/ && \
+            cd ../.. && \
+            rm -rf vulkan
+        fi
+        ldconfig && \
+        apt-get clean && \
+        rm -rf /var/lib/apt/lists/*
+    fi
+EOT
+
+# CuBLAS requirements
+RUN <<EOT bash
+    if ( [ "${BUILD_TYPE}" = "cublas" ] || [ "${BUILD_TYPE}" = "l4t" ] ) && [ "${SKIP_DRIVERS}" = "false" ]; then
+        apt-get update && \
+        apt-get install -y  --no-install-recommends \
+            software-properties-common pciutils
+        if [ "amd64" = "$TARGETARCH" ]; then
+            curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu${UBUNTU_VERSION}/x86_64/cuda-keyring_1.1-1_all.deb
+        fi
+        if [ "arm64" = "$TARGETARCH" ]; then
+            if [ "${CUDA_MAJOR_VERSION}" = "13" ]; then
+                curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu${UBUNTU_VERSION}/sbsa/cuda-keyring_1.1-1_all.deb
+            else
+                curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu${UBUNTU_VERSION}/arm64/cuda-keyring_1.1-1_all.deb
+            fi
+        fi
+        dpkg -i cuda-keyring_1.1-1_all.deb && \
+        rm -f cuda-keyring_1.1-1_all.deb && \
+        apt-get update && \
+        apt-get install -y --no-install-recommends \
+            cuda-nvcc-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
+            libcufft-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
+            libcurand-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
+            libcublas-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
+            libcusparse-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
+            libcusolver-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION}
+        if [ "${CUDA_MAJOR_VERSION}" = "13" ] && [ "arm64" = "$TARGETARCH" ]; then
+            apt-get install -y --no-install-recommends \
+            libcufile-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libcudnn9-cuda-${CUDA_MAJOR_VERSION} cuda-cupti-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libnvjitlink-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION}
+        fi
+        apt-get clean && \
+        rm -rf /var/lib/apt/lists/*
+    fi
+EOT
+
+
+# https://github.com/NVIDIA/Isaac-GR00T/issues/343
+RUN <<EOT bash
+    if [ "${BUILD_TYPE}" = "cublas" ] && [ "${TARGETARCH}" = "arm64" ]; then
+        wget https://developer.download.nvidia.com/compute/cudss/0.6.0/local_installers/cudss-local-tegra-repo-ubuntu${UBUNTU_VERSION}-0.6.0_0.6.0-1_arm64.deb && \
+        dpkg -i cudss-local-tegra-repo-ubuntu${UBUNTU_VERSION}-0.6.0_0.6.0-1_arm64.deb && \
+        cp /var/cudss-local-tegra-repo-ubuntu${UBUNTU_VERSION}-0.6.0/cudss-*-keyring.gpg /usr/share/keyrings/ && \
+        apt-get update && apt-get -y install cudss cudss-cuda-${CUDA_MAJOR_VERSION} && \
+        wget https://developer.download.nvidia.com/compute/nvpl/25.5/local_installers/nvpl-local-repo-ubuntu${UBUNTU_VERSION}-25.5_1.0-1_arm64.deb && \
+        dpkg -i nvpl-local-repo-ubuntu${UBUNTU_VERSION}-25.5_1.0-1_arm64.deb && \
+        cp /var/nvpl-local-repo-ubuntu${UBUNTU_VERSION}-25.5/nvpl-*-keyring.gpg /usr/share/keyrings/ && \
+        apt-get update && apt-get install -y nvpl
+    fi
+EOT
+
+# If we are building with clblas support, we need the libraries for the builds
+RUN if [ "${BUILD_TYPE}" = "clblas" ] && [ "${SKIP_DRIVERS}" = "false" ]; then \
+        apt-get update && \
+        apt-get install -y --no-install-recommends \
+            libclblast-dev && \
+        apt-get clean && \
+        rm -rf /var/lib/apt/lists/* \
+    ; fi
+
+RUN if [ "${BUILD_TYPE}" = "hipblas" ] && [ "${SKIP_DRIVERS}" = "false" ]; then \
+        apt-get update && \
+        apt-get install -y --no-install-recommends \
+            hipblas-dev \
+            rocblas-dev && \
+        apt-get clean && \
+        rm -rf /var/lib/apt/lists/* && \
+        # I have no idea why, but the ROCM lib packages don't trigger ldconfig after they install, which results in local-ai and others not being able
+        # to locate the libraries. We run ldconfig ourselves to work around this packaging deficiency
+        ldconfig \
+    ; fi
+
+RUN echo "TARGETARCH: $TARGETARCH"
+
+# We need protoc installed, and the version in 22.04 is too old.  We will create one as part installing the GRPC build below
+# but that will also being in a newer version of absl which stablediffusion cannot compile with.  This version of protoc is only
+# here so that we can generate the grpc code for the stablediffusion build
+RUN <<EOT bash
+    if [ "amd64" = "$TARGETARCH" ]; then
+        curl -L -s https://github.com/protocolbuffers/protobuf/releases/download/v27.1/protoc-27.1-linux-x86_64.zip -o protoc.zip && \
+        unzip -j -d /usr/local/bin protoc.zip bin/protoc && \
+        rm protoc.zip
+    fi
+    if [ "arm64" = "$TARGETARCH" ]; then
+        curl -L -s https://github.com/protocolbuffers/protobuf/releases/download/v27.1/protoc-27.1-linux-aarch_64.zip -o protoc.zip && \
+        unzip -j -d /usr/local/bin protoc.zip bin/protoc && \
+        rm protoc.zip
+    fi
+EOT
+
+# Install CMake (the version in 22.04 is too old)
+RUN <<EOT bash
+    if [ "${CMAKE_FROM_SOURCE}" = "true" ]; then
+        curl -L -s https://github.com/Kitware/CMake/releases/download/v${CMAKE_VERSION}/cmake-${CMAKE_VERSION}.tar.gz -o cmake.tar.gz && tar xvf cmake.tar.gz && cd cmake-${CMAKE_VERSION} && ./configure && make && make install
+    else
+        apt-get update && \
+        apt-get install -y \
+            cmake && \
+        apt-get clean && \
+        rm -rf /var/lib/apt/lists/*
+    fi
+EOT
+
+COPY --from=grpc /opt/grpc /usr/local
+
+
+COPY . /LocalAI
+
+RUN <<'EOT' bash
+set -euxo pipefail
+
+if [[ -n "${CUDA_DOCKER_ARCH:-}" ]]; then
+  CUDA_ARCH_ESC="${CUDA_DOCKER_ARCH//;/\\;}"
+  export CMAKE_ARGS="${CMAKE_ARGS:-} -DCMAKE_CUDA_ARCHITECTURES=${CUDA_ARCH_ESC}"
+  echo "CMAKE_ARGS(env) = ${CMAKE_ARGS}"
+  rm -rf /LocalAI/backend/cpp/ik-llama-cpp-*-build
+fi
+
+cd /LocalAI/backend/cpp/ik-llama-cpp
+
+if [ "${TARGETARCH}" = "arm64" ] || [ "${BUILD_TYPE}" = "hipblas" ]; then
+  # ARM64 / ROCm: build without x86 SIMD
+  make ik-llama-cpp-fallback
+else
+  # ik_llama.cpp's IQK kernels require at least AVX2
+  make ik-llama-cpp-avx2
+fi
+EOT
+
+
+# Copy libraries using a script to handle architecture differences
+RUN make -BC /LocalAI/backend/cpp/ik-llama-cpp package
+
+
+FROM scratch
+
+
+# Copy all available binaries (the build process only creates the appropriate ones for the target architecture)
+COPY --from=builder /LocalAI/backend/cpp/ik-llama-cpp/package/. ./

backend/Dockerfile.llama-cpp

@@ -1,4 +1,4 @@
-ARG BASE_IMAGE=ubuntu:22.04
+ARG BASE_IMAGE=ubuntu:24.04
 ARG GRPC_BASE_IMAGE=${BASE_IMAGE}
 
 
@@ -10,7 +10,8 @@ FROM ${GRPC_BASE_IMAGE} AS grpc
 ARG GRPC_MAKEFLAGS="-j4 -Otarget"
 ARG GRPC_VERSION=v1.65.0
 ARG CMAKE_FROM_SOURCE=false
-ARG CMAKE_VERSION=3.26.4
+# CUDA Toolkit 13.x compatibility: CMake 3.31.9+ fixes toolchain detection/arch table issues
+ARG CMAKE_VERSION=3.31.10
 
 ENV MAKEFLAGS=${GRPC_MAKEFLAGS}
 
@@ -20,13 +21,13 @@ RUN apt-get update && \
     apt-get install -y --no-install-recommends \
         ca-certificates \
         build-essential curl libssl-dev \
-        git && \
+        git wget && \
     apt-get clean && \
     rm -rf /var/lib/apt/lists/*
 
 # Install CMake (the version in 22.04 is too old)
 RUN <<EOT bash
-    if [ "${CMAKE_FROM_SOURCE}}" = "true" ]; then
+    if [ "${CMAKE_FROM_SOURCE}" = "true" ]; then
         curl -L -s https://github.com/Kitware/CMake/releases/download/v${CMAKE_VERSION}/cmake-${CMAKE_VERSION}.tar.gz -o cmake.tar.gz && tar xvf cmake.tar.gz && cd cmake-${CMAKE_VERSION} && ./configure && make && make install
     else
         apt-get update && \
@@ -50,6 +51,15 @@ RUN git clone --recurse-submodules --jobs 4 -b ${GRPC_VERSION} --depth 1 --shall
     rm -rf /build
 
 FROM ${BASE_IMAGE} AS builder
+ARG CMAKE_FROM_SOURCE=false
+ARG CMAKE_VERSION=3.31.10
+# We can target specific CUDA ARCHITECTURES like --build-arg CUDA_DOCKER_ARCH='75;86;89;120'
+ARG CUDA_DOCKER_ARCH
+ENV CUDA_DOCKER_ARCH=${CUDA_DOCKER_ARCH}
+ARG CMAKE_ARGS
+ENV CMAKE_ARGS=${CMAKE_ARGS}
+ARG AMDGPU_TARGETS
+ENV AMDGPU_TARGETS=${AMDGPU_TARGETS}
 ARG BACKEND=rerankers
 ARG BUILD_TYPE
 ENV BUILD_TYPE=${BUILD_TYPE}
@@ -61,7 +71,8 @@ ENV CUDA_MINOR_VERSION=${CUDA_MINOR_VERSION}
 ENV DEBIAN_FRONTEND=noninteractive
 ARG TARGETARCH
 ARG TARGETVARIANT
-ARG GO_VERSION=1.22.6
+ARG GO_VERSION=1.25.4
+ARG UBUNTU_VERSION=2404
 
 RUN apt-get update && \
     apt-get install -y --no-install-recommends \
@@ -69,8 +80,9 @@ RUN apt-get update && \
         ccache git \
         ca-certificates \
         make \
+        pkg-config libcurl4-openssl-dev \
         curl unzip \
-        libssl-dev && \
+        libssl-dev wget && \
     apt-get clean && \
     rm -rf /var/lib/apt/lists/*
 
@@ -80,17 +92,52 @@ ENV PATH=/usr/local/cuda/bin:${PATH}
 # HipBLAS requirements
 ENV PATH=/opt/rocm/bin:${PATH}
 
+
 # Vulkan requirements
 RUN <<EOT bash
     if [ "${BUILD_TYPE}" = "vulkan" ] && [ "${SKIP_DRIVERS}" = "false" ]; then
         apt-get update && \
         apt-get install -y  --no-install-recommends \
             software-properties-common pciutils wget gpg-agent && \
-        wget -qO - https://packages.lunarg.com/lunarg-signing-key-pub.asc | apt-key add - && \
-        wget -qO /etc/apt/sources.list.d/lunarg-vulkan-jammy.list https://packages.lunarg.com/vulkan/lunarg-vulkan-jammy.list && \
-        apt-get update && \
-        apt-get install -y \
-            vulkan-sdk && \
+        apt-get install -y libglm-dev cmake libxcb-dri3-0 libxcb-present0 libpciaccess0 \
+            libpng-dev libxcb-keysyms1-dev libxcb-dri3-dev libx11-dev g++ gcc \
+            libwayland-dev libxrandr-dev libxcb-randr0-dev libxcb-ewmh-dev \
+            git python-is-python3 bison libx11-xcb-dev liblz4-dev libzstd-dev \
+            ocaml-core ninja-build pkg-config libxml2-dev wayland-protocols python3-jsonschema \
+            clang-format qtbase5-dev qt6-base-dev libxcb-glx0-dev sudo xz-utils
+        if [ "amd64" = "$TARGETARCH" ]; then
+            wget "https://sdk.lunarg.com/sdk/download/1.4.335.0/linux/vulkansdk-linux-x86_64-1.4.335.0.tar.xz" && \
+            tar -xf vulkansdk-linux-x86_64-1.4.335.0.tar.xz && \
+            rm vulkansdk-linux-x86_64-1.4.335.0.tar.xz && \
+            mkdir -p /opt/vulkan-sdk && \
+            mv 1.4.335.0 /opt/vulkan-sdk/ && \
+            cd /opt/vulkan-sdk/1.4.335.0 && \
+            ./vulkansdk --no-deps --maxjobs \
+                vulkan-loader \
+                vulkan-validationlayers \
+                vulkan-extensionlayer \
+                vulkan-tools \
+                shaderc && \
+            cp -rfv /opt/vulkan-sdk/1.4.335.0/x86_64/bin/* /usr/bin/ && \
+            cp -rfv /opt/vulkan-sdk/1.4.335.0/x86_64/lib/* /usr/lib/x86_64-linux-gnu/ && \
+            cp -rfv /opt/vulkan-sdk/1.4.335.0/x86_64/include/* /usr/include/ && \
+            cp -rfv /opt/vulkan-sdk/1.4.335.0/x86_64/share/* /usr/share/ && \
+            rm -rf /opt/vulkan-sdk
+        fi
+        if [ "arm64" = "$TARGETARCH" ]; then
+            mkdir vulkan && cd vulkan && \
+            curl -L -o vulkan-sdk.tar.xz https://github.com/mudler/vulkan-sdk-arm/releases/download/1.4.335.0/vulkansdk-ubuntu-24.04-arm-1.4.335.0.tar.xz && \
+            tar -xvf vulkan-sdk.tar.xz && \
+            rm vulkan-sdk.tar.xz && \
+            cd 1.4.335.0 && \
+            cp -rfv aarch64/bin/* /usr/bin/ && \
+            cp -rfv aarch64/lib/* /usr/lib/aarch64-linux-gnu/ && \
+            cp -rfv aarch64/include/* /usr/include/ && \
+            cp -rfv aarch64/share/* /usr/share/ && \
+            cd ../.. && \
+            rm -rf vulkan
+        fi
+        ldconfig && \
         apt-get clean && \
         rm -rf /var/lib/apt/lists/*
     fi
@@ -98,15 +145,19 @@ EOT
 
 # CuBLAS requirements
 RUN <<EOT bash
-    if [ "${BUILD_TYPE}" = "cublas" ] && [ "${SKIP_DRIVERS}" = "false" ]; then
+    if ( [ "${BUILD_TYPE}" = "cublas" ] || [ "${BUILD_TYPE}" = "l4t" ] ) && [ "${SKIP_DRIVERS}" = "false" ]; then
         apt-get update && \
         apt-get install -y  --no-install-recommends \
             software-properties-common pciutils
         if [ "amd64" = "$TARGETARCH" ]; then
-            curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
+            curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu${UBUNTU_VERSION}/x86_64/cuda-keyring_1.1-1_all.deb
         fi
         if [ "arm64" = "$TARGETARCH" ]; then
-            curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/arm64/cuda-keyring_1.1-1_all.deb
+            if [ "${CUDA_MAJOR_VERSION}" = "13" ]; then
+                curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu${UBUNTU_VERSION}/sbsa/cuda-keyring_1.1-1_all.deb
+            else
+                curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu${UBUNTU_VERSION}/arm64/cuda-keyring_1.1-1_all.deb
+            fi
         fi
         dpkg -i cuda-keyring_1.1-1_all.deb && \
         rm -f cuda-keyring_1.1-1_all.deb && \
@@ -117,12 +168,31 @@ RUN <<EOT bash
             libcurand-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
             libcublas-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
             libcusparse-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
-            libcusolver-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} && \
+            libcusolver-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION}
+        if [ "${CUDA_MAJOR_VERSION}" = "13" ] && [ "arm64" = "$TARGETARCH" ]; then
+            apt-get install -y --no-install-recommends \
+            libcufile-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libcudnn9-cuda-${CUDA_MAJOR_VERSION} cuda-cupti-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libnvjitlink-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION}
+        fi
         apt-get clean && \
         rm -rf /var/lib/apt/lists/*
     fi
 EOT
 
+
+# https://github.com/NVIDIA/Isaac-GR00T/issues/343
+RUN <<EOT bash
+    if [ "${BUILD_TYPE}" = "cublas" ] && [ "${TARGETARCH}" = "arm64" ]; then
+        wget https://developer.download.nvidia.com/compute/cudss/0.6.0/local_installers/cudss-local-tegra-repo-ubuntu${UBUNTU_VERSION}-0.6.0_0.6.0-1_arm64.deb && \
+        dpkg -i cudss-local-tegra-repo-ubuntu${UBUNTU_VERSION}-0.6.0_0.6.0-1_arm64.deb && \
+        cp /var/cudss-local-tegra-repo-ubuntu${UBUNTU_VERSION}-0.6.0/cudss-*-keyring.gpg /usr/share/keyrings/ && \
+        apt-get update && apt-get -y install cudss cudss-cuda-${CUDA_MAJOR_VERSION} && \
+        wget https://developer.download.nvidia.com/compute/nvpl/25.5/local_installers/nvpl-local-repo-ubuntu${UBUNTU_VERSION}-25.5_1.0-1_arm64.deb && \
+        dpkg -i nvpl-local-repo-ubuntu${UBUNTU_VERSION}-25.5_1.0-1_arm64.deb && \
+        cp /var/nvpl-local-repo-ubuntu${UBUNTU_VERSION}-25.5/nvpl-*-keyring.gpg /usr/share/keyrings/ && \
+        apt-get update && apt-get install -y nvpl
+    fi
+EOT
+
 # If we are building with clblas support, we need the libraries for the builds
 RUN if [ "${BUILD_TYPE}" = "clblas" ] && [ "${SKIP_DRIVERS}" = "false" ]; then \
         apt-get update && \
@@ -141,7 +211,11 @@ RUN if [ "${BUILD_TYPE}" = "hipblas" ] && [ "${SKIP_DRIVERS}" = "false" ]; then
         rm -rf /var/lib/apt/lists/* && \
         # I have no idea why, but the ROCM lib packages don't trigger ldconfig after they install, which results in local-ai and others not being able
         # to locate the libraries. We run ldconfig ourselves to work around this packaging deficiency
-        ldconfig \
+        ldconfig && \
+        # Log which GPU architectures have rocBLAS kernel support
+        echo "rocBLAS library data architectures:" && \
+        (ls /opt/rocm*/lib/rocblas/library/Kernels* 2>/dev/null || ls /opt/rocm*/lib64/rocblas/library/Kernels* 2>/dev/null) | grep -oP 'gfx[0-9a-z+-]+' | sort -u || \
+        echo "WARNING: No rocBLAS kernel data found" \
     ; fi
 
 RUN echo "TARGETARCH: $TARGETARCH"
@@ -164,7 +238,7 @@ EOT
 
 # Install CMake (the version in 22.04 is too old)
 RUN <<EOT bash
-    if [ "${CMAKE_FROM_SOURCE}}" = "true" ]; then
+    if [ "${CMAKE_FROM_SOURCE}" = "true" ]; then
         curl -L -s https://github.com/Kitware/CMake/releases/download/v${CMAKE_VERSION}/cmake-${CMAKE_VERSION}.tar.gz -o cmake.tar.gz && tar xvf cmake.tar.gz && cd cmake-${CMAKE_VERSION} && ./configure && make && make install
     else
         apt-get update && \
@@ -180,24 +254,35 @@ COPY --from=grpc /opt/grpc /usr/local
 
 COPY . /LocalAI
 
-## Otherwise just run the normal build
-RUN <<EOT bash
-if [ "${TARGETARCH}" = "arm64" ] || [ "${BUILD_TYPE}" = "hipblas" ]; then \
-        cd /LocalAI/backend/cpp/llama-cpp && make llama-cpp-fallback && \
-        make llama-cpp-grpc && make llama-cpp-rpc-server; \
-    else \
-        cd /LocalAI/backend/cpp/llama-cpp && make llama-cpp-avx && \
-        make llama-cpp-avx2 && \
-        make llama-cpp-avx512 && \
-        make llama-cpp-fallback && \
-        make llama-cpp-grpc && \
-        make llama-cpp-rpc-server; \
-    fi  
+RUN <<'EOT' bash
+set -euxo pipefail
+
+if [[ -n "${CUDA_DOCKER_ARCH:-}" ]]; then
+  CUDA_ARCH_ESC="${CUDA_DOCKER_ARCH//;/\\;}"
+  export CMAKE_ARGS="${CMAKE_ARGS:-} -DCMAKE_CUDA_ARCHITECTURES=${CUDA_ARCH_ESC}"
+  echo "CMAKE_ARGS(env) = ${CMAKE_ARGS}"
+  rm -rf /LocalAI/backend/cpp/llama-cpp-*-build
+fi
+
+if [ "${TARGETARCH}" = "arm64" ] || [ "${BUILD_TYPE}" = "hipblas" ]; then
+  cd /LocalAI/backend/cpp/llama-cpp
+  make llama-cpp-fallback
+  make llama-cpp-grpc
+  make llama-cpp-rpc-server
+else
+  cd /LocalAI/backend/cpp/llama-cpp
+  make llama-cpp-avx
+  make llama-cpp-avx2
+  make llama-cpp-avx512
+  make llama-cpp-fallback
+  make llama-cpp-grpc
+  make llama-cpp-rpc-server
+fi
 EOT
 
 
 # Copy libraries using a script to handle architecture differences
-RUN make -C /LocalAI/backend/cpp/llama-cpp package
+RUN make -BC /LocalAI/backend/cpp/llama-cpp package
 
 
 FROM scratch

backend/Dockerfile.python

@@ -1,4 +1,4 @@
-ARG BASE_IMAGE=ubuntu:22.04
+ARG BASE_IMAGE=ubuntu:24.04
 
 FROM ${BASE_IMAGE} AS builder
 ARG BACKEND=rerankers
@@ -12,6 +12,7 @@ ENV CUDA_MINOR_VERSION=${CUDA_MINOR_VERSION}
 ENV DEBIAN_FRONTEND=noninteractive
 ARG TARGETARCH
 ARG TARGETVARIANT
+ARG UBUNTU_VERSION=2404
 
 RUN apt-get update && \
     apt-get install -y --no-install-recommends \
@@ -21,17 +22,25 @@ RUN apt-get update && \
         espeak-ng \
         curl \
         libssl-dev \
-        git \
+        git wget \
         git-lfs \
-        unzip \
+        unzip clang \
         upx-ucl \
         curl python3-pip \
         python-is-python3 \
         python3-dev llvm \
-        python3-venv make && \
+        libnuma1 libgomp1 \
+        python3-venv make cmake && \
     apt-get clean && \
-    rm -rf /var/lib/apt/lists/* && \
-    pip install --upgrade pip
+    rm -rf /var/lib/apt/lists/*
+
+RUN <<EOT bash
+    if [ "${UBUNTU_VERSION}" = "2404" ]; then
+        pip install --break-system-packages --user --upgrade pip
+    else
+        pip install --upgrade pip
+    fi
+EOT
 
 
 # Cuda
@@ -46,11 +55,45 @@ RUN <<EOT bash
         apt-get update && \
         apt-get install -y  --no-install-recommends \
             software-properties-common pciutils wget gpg-agent && \
-        wget -qO - https://packages.lunarg.com/lunarg-signing-key-pub.asc | apt-key add - && \
-        wget -qO /etc/apt/sources.list.d/lunarg-vulkan-jammy.list https://packages.lunarg.com/vulkan/lunarg-vulkan-jammy.list && \
-        apt-get update && \
-        apt-get install -y \
-            vulkan-sdk && \
+        apt-get install -y libglm-dev cmake libxcb-dri3-0 libxcb-present0 libpciaccess0 \
+            libpng-dev libxcb-keysyms1-dev libxcb-dri3-dev libx11-dev g++ gcc \
+            libwayland-dev libxrandr-dev libxcb-randr0-dev libxcb-ewmh-dev \
+            git python-is-python3 bison libx11-xcb-dev liblz4-dev libzstd-dev \
+            ocaml-core ninja-build pkg-config libxml2-dev wayland-protocols python3-jsonschema \
+            clang-format qtbase5-dev qt6-base-dev libxcb-glx0-dev sudo xz-utils
+        if [ "amd64" = "$TARGETARCH" ]; then
+            wget "https://sdk.lunarg.com/sdk/download/1.4.335.0/linux/vulkansdk-linux-x86_64-1.4.335.0.tar.xz" && \
+            tar -xf vulkansdk-linux-x86_64-1.4.335.0.tar.xz && \
+            rm vulkansdk-linux-x86_64-1.4.335.0.tar.xz && \
+            mkdir -p /opt/vulkan-sdk && \
+            mv 1.4.335.0 /opt/vulkan-sdk/ && \
+            cd /opt/vulkan-sdk/1.4.335.0 && \
+            ./vulkansdk --no-deps --maxjobs \
+                vulkan-loader \
+                vulkan-validationlayers \
+                vulkan-extensionlayer \
+                vulkan-tools \
+                shaderc && \
+            cp -rfv /opt/vulkan-sdk/1.4.335.0/x86_64/bin/* /usr/bin/ && \
+            cp -rfv /opt/vulkan-sdk/1.4.335.0/x86_64/lib/* /usr/lib/x86_64-linux-gnu/ && \
+            cp -rfv /opt/vulkan-sdk/1.4.335.0/x86_64/include/* /usr/include/ && \
+            cp -rfv /opt/vulkan-sdk/1.4.335.0/x86_64/share/* /usr/share/ && \
+            rm -rf /opt/vulkan-sdk
+        fi
+        if [ "arm64" = "$TARGETARCH" ]; then
+            mkdir vulkan && cd vulkan && \
+            curl -L -o vulkan-sdk.tar.xz https://github.com/mudler/vulkan-sdk-arm/releases/download/1.4.335.0/vulkansdk-ubuntu-24.04-arm-1.4.335.0.tar.xz && \
+            tar -xvf vulkan-sdk.tar.xz && \
+            rm vulkan-sdk.tar.xz && \
+            cd 1.4.335.0 && \
+            cp -rfv aarch64/bin/* /usr/bin/ && \
+            cp -rfv aarch64/lib/* /usr/lib/aarch64-linux-gnu/ && \
+            cp -rfv aarch64/include/* /usr/include/ && \
+            cp -rfv aarch64/share/* /usr/share/ && \
+            cd ../.. && \
+            rm -rf vulkan
+        fi
+        ldconfig && \
         apt-get clean && \
         rm -rf /var/lib/apt/lists/*
     fi
@@ -58,15 +101,19 @@ EOT
 
 # CuBLAS requirements
 RUN <<EOT bash
-    if [ "${BUILD_TYPE}" = "cublas" ] && [ "${SKIP_DRIVERS}" = "false" ]; then
+    if ( [ "${BUILD_TYPE}" = "cublas" ] || [ "${BUILD_TYPE}" = "l4t" ] ) && [ "${SKIP_DRIVERS}" = "false" ]; then
         apt-get update && \
         apt-get install -y  --no-install-recommends \
             software-properties-common pciutils
         if [ "amd64" = "$TARGETARCH" ]; then
-            curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/x86_64/cuda-keyring_1.1-1_all.deb
+            curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu${UBUNTU_VERSION}/x86_64/cuda-keyring_1.1-1_all.deb
         fi
         if [ "arm64" = "$TARGETARCH" ]; then
-            curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2204/arm64/cuda-keyring_1.1-1_all.deb
+            if [ "${CUDA_MAJOR_VERSION}" = "13" ]; then
+                curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu${UBUNTU_VERSION}/sbsa/cuda-keyring_1.1-1_all.deb
+            else
+                curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu${UBUNTU_VERSION}/arm64/cuda-keyring_1.1-1_all.deb
+            fi
         fi
         dpkg -i cuda-keyring_1.1-1_all.deb && \
         rm -f cuda-keyring_1.1-1_all.deb && \
@@ -77,12 +124,31 @@ RUN <<EOT bash
             libcurand-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
             libcublas-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
             libcusparse-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
-            libcusolver-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} && \
+            libcusolver-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION}
+        if [ "${CUDA_MAJOR_VERSION}" = "13" ] && [ "arm64" = "$TARGETARCH" ]; then
+            apt-get install -y --no-install-recommends \
+            libcufile-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libcudnn9-cuda-${CUDA_MAJOR_VERSION} cuda-cupti-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libnvjitlink-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION}
+        fi
         apt-get clean && \
         rm -rf /var/lib/apt/lists/*
     fi
 EOT
 
+
+# https://github.com/NVIDIA/Isaac-GR00T/issues/343
+RUN <<EOT bash
+    if [ "${BUILD_TYPE}" = "cublas" ] && [ "${TARGETARCH}" = "arm64" ]; then
+        wget https://developer.download.nvidia.com/compute/cudss/0.6.0/local_installers/cudss-local-tegra-repo-ubuntu${UBUNTU_VERSION}-0.6.0_0.6.0-1_arm64.deb && \
+        dpkg -i cudss-local-tegra-repo-ubuntu${UBUNTU_VERSION}-0.6.0_0.6.0-1_arm64.deb && \
+        cp /var/cudss-local-tegra-repo-ubuntu${UBUNTU_VERSION}-0.6.0/cudss-*-keyring.gpg /usr/share/keyrings/ && \
+        apt-get update && apt-get -y install cudss cudss-cuda-${CUDA_MAJOR_VERSION} && \
+        wget https://developer.download.nvidia.com/compute/nvpl/25.5/local_installers/nvpl-local-repo-ubuntu${UBUNTU_VERSION}-25.5_1.0-1_arm64.deb && \
+        dpkg -i nvpl-local-repo-ubuntu${UBUNTU_VERSION}-25.5_1.0-1_arm64.deb && \
+        cp /var/nvpl-local-repo-ubuntu${UBUNTU_VERSION}-25.5/nvpl-*-keyring.gpg /usr/share/keyrings/ && \
+        apt-get update && apt-get install -y nvpl
+    fi
+EOT
+
 # If we are building with clblas support, we need the libraries for the builds
 RUN if [ "${BUILD_TYPE}" = "clblas" ] && [ "${SKIP_DRIVERS}" = "false" ]; then \
         apt-get update && \
@@ -103,20 +169,50 @@ RUN if [ "${BUILD_TYPE}" = "hipblas" ] && [ "${SKIP_DRIVERS}" = "false" ]; then
         # to locate the libraries. We run ldconfig ourselves to work around this packaging deficiency
         ldconfig \
     ; fi
+
+RUN if [ "${BUILD_TYPE}" = "hipblas" ]; then \
+    ln -s /opt/rocm-**/lib/llvm/lib/libomp.so /usr/lib/libomp.so \
+    ; fi
+
 # Install uv as a system package
 RUN curl -LsSf https://astral.sh/uv/install.sh | UV_INSTALL_DIR=/usr/bin sh
 ENV PATH="/root/.cargo/bin:${PATH}"
-
+# Increase timeout for uv installs behind slow networks
+ENV UV_HTTP_TIMEOUT=180
 RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y
 
 # Install grpcio-tools (the version in 22.04 is too old)
-RUN pip install --user grpcio-tools==1.71.0 grpcio==1.71.0
+RUN <<EOT bash
+    if [ "${UBUNTU_VERSION}" = "2404" ]; then
+        pip install --break-system-packages --user grpcio-tools==1.71.0 grpcio==1.71.0
+    else
+        pip install grpcio-tools==1.71.0 grpcio==1.71.0
+    fi
+EOT
 
-COPY python/${BACKEND} /${BACKEND}
-COPY backend.proto /${BACKEND}/backend.proto
-COPY python/common/ /${BACKEND}/common
 
-RUN cd /${BACKEND} && make
+COPY backend/python/${BACKEND} /${BACKEND}
+COPY backend/backend.proto /${BACKEND}/backend.proto
+COPY backend/python/common/ /${BACKEND}/common
+COPY scripts/build/package-gpu-libs.sh /package-gpu-libs.sh
+
+# Optional per-backend source build toggle (e.g. vllm on CPU can set
+# FROM_SOURCE=true to compile against the build host SIMD instead of
+# pulling a prebuilt wheel). Default empty — most backends ignore it.
+ARG FROM_SOURCE=""
+ENV FROM_SOURCE=${FROM_SOURCE}
+
+RUN cd /${BACKEND} && PORTABLE_PYTHON=true make
+
+# Package GPU libraries into the backend's lib directory
+RUN mkdir -p /${BACKEND}/lib && \
+    TARGET_LIB_DIR="/${BACKEND}/lib" BUILD_TYPE="${BUILD_TYPE}" CUDA_MAJOR_VERSION="${CUDA_MAJOR_VERSION}" \
+    bash /package-gpu-libs.sh "/${BACKEND}/lib"
+
+# Run backend-specific packaging if a package.sh exists
+RUN if [ -f "/${BACKEND}/package.sh" ]; then \
+        cd /${BACKEND} && bash package.sh; \
+    fi
 
 FROM scratch
 ARG BACKEND=rerankers

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/Dockerfile.turboquant

@@ -0,0 +1,290 @@
+ARG BASE_IMAGE=ubuntu:24.04
+ARG GRPC_BASE_IMAGE=${BASE_IMAGE}
+
+
+# The grpc target does one thing, it builds and installs GRPC.  This is in it's own layer so that it can be effectively cached by CI.
+# You probably don't need to change anything here, and if you do, make sure that CI is adjusted so that the cache continues to work.
+FROM ${GRPC_BASE_IMAGE} AS grpc
+
+# This is a bit of a hack, but it's required in order to be able to effectively cache this layer in CI
+ARG GRPC_MAKEFLAGS="-j4 -Otarget"
+ARG GRPC_VERSION=v1.65.0
+ARG CMAKE_FROM_SOURCE=false
+# CUDA Toolkit 13.x compatibility: CMake 3.31.9+ fixes toolchain detection/arch table issues
+ARG CMAKE_VERSION=3.31.10
+
+ENV MAKEFLAGS=${GRPC_MAKEFLAGS}
+
+WORKDIR /build
+
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends \
+        ca-certificates \
+        build-essential curl libssl-dev \
+        git wget && \
+    apt-get clean && \
+    rm -rf /var/lib/apt/lists/*
+
+# Install CMake (the version in 22.04 is too old)
+RUN <<EOT bash
+    if [ "${CMAKE_FROM_SOURCE}" = "true" ]; then
+        curl -L -s https://github.com/Kitware/CMake/releases/download/v${CMAKE_VERSION}/cmake-${CMAKE_VERSION}.tar.gz -o cmake.tar.gz && tar xvf cmake.tar.gz && cd cmake-${CMAKE_VERSION} && ./configure && make && make install
+    else
+        apt-get update && \
+        apt-get install -y \
+            cmake && \
+        apt-get clean && \
+        rm -rf /var/lib/apt/lists/*
+    fi
+EOT
+
+# We install GRPC to a different prefix here so that we can copy in only the build artifacts later
+# saves several hundred MB on the final docker image size vs copying in the entire GRPC source tree
+# and running make install in the target container
+RUN git clone --recurse-submodules --jobs 4 -b ${GRPC_VERSION} --depth 1 --shallow-submodules https://github.com/grpc/grpc && \
+    mkdir -p /build/grpc/cmake/build && \
+    cd /build/grpc/cmake/build && \
+    sed -i "216i\  TESTONLY" "../../third_party/abseil-cpp/absl/container/CMakeLists.txt" && \
+    cmake -DgRPC_INSTALL=ON -DgRPC_BUILD_TESTS=OFF -DCMAKE_INSTALL_PREFIX:PATH=/opt/grpc ../.. && \
+    make && \
+    make install && \
+    rm -rf /build
+
+FROM ${BASE_IMAGE} AS builder
+ARG CMAKE_FROM_SOURCE=false
+ARG CMAKE_VERSION=3.31.10
+# We can target specific CUDA ARCHITECTURES like --build-arg CUDA_DOCKER_ARCH='75;86;89;120'
+ARG CUDA_DOCKER_ARCH
+ENV CUDA_DOCKER_ARCH=${CUDA_DOCKER_ARCH}
+ARG CMAKE_ARGS
+ENV CMAKE_ARGS=${CMAKE_ARGS}
+ARG BACKEND=rerankers
+ARG BUILD_TYPE
+ENV BUILD_TYPE=${BUILD_TYPE}
+ARG CUDA_MAJOR_VERSION
+ARG CUDA_MINOR_VERSION
+ARG SKIP_DRIVERS=false
+ENV CUDA_MAJOR_VERSION=${CUDA_MAJOR_VERSION}
+ENV CUDA_MINOR_VERSION=${CUDA_MINOR_VERSION}
+ENV DEBIAN_FRONTEND=noninteractive
+ARG TARGETARCH
+ARG TARGETVARIANT
+ARG GO_VERSION=1.25.4
+ARG UBUNTU_VERSION=2404
+
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends \
+        build-essential \
+        ccache git \
+        ca-certificates \
+        make \
+        pkg-config libcurl4-openssl-dev \
+        curl unzip \
+        libssl-dev wget && \
+    apt-get clean && \
+    rm -rf /var/lib/apt/lists/*
+
+# Cuda
+ENV PATH=/usr/local/cuda/bin:${PATH}
+
+# HipBLAS requirements
+ENV PATH=/opt/rocm/bin:${PATH}
+
+
+# Vulkan requirements
+RUN <<EOT bash
+    if [ "${BUILD_TYPE}" = "vulkan" ] && [ "${SKIP_DRIVERS}" = "false" ]; then
+        apt-get update && \
+        apt-get install -y  --no-install-recommends \
+            software-properties-common pciutils wget gpg-agent && \
+        apt-get install -y libglm-dev cmake libxcb-dri3-0 libxcb-present0 libpciaccess0 \
+            libpng-dev libxcb-keysyms1-dev libxcb-dri3-dev libx11-dev g++ gcc \
+            libwayland-dev libxrandr-dev libxcb-randr0-dev libxcb-ewmh-dev \
+            git python-is-python3 bison libx11-xcb-dev liblz4-dev libzstd-dev \
+            ocaml-core ninja-build pkg-config libxml2-dev wayland-protocols python3-jsonschema \
+            clang-format qtbase5-dev qt6-base-dev libxcb-glx0-dev sudo xz-utils
+        if [ "amd64" = "$TARGETARCH" ]; then
+            wget "https://sdk.lunarg.com/sdk/download/1.4.335.0/linux/vulkansdk-linux-x86_64-1.4.335.0.tar.xz" && \
+            tar -xf vulkansdk-linux-x86_64-1.4.335.0.tar.xz && \
+            rm vulkansdk-linux-x86_64-1.4.335.0.tar.xz && \
+            mkdir -p /opt/vulkan-sdk && \
+            mv 1.4.335.0 /opt/vulkan-sdk/ && \
+            cd /opt/vulkan-sdk/1.4.335.0 && \
+            ./vulkansdk --no-deps --maxjobs \
+                vulkan-loader \
+                vulkan-validationlayers \
+                vulkan-extensionlayer \
+                vulkan-tools \
+                shaderc && \
+            cp -rfv /opt/vulkan-sdk/1.4.335.0/x86_64/bin/* /usr/bin/ && \
+            cp -rfv /opt/vulkan-sdk/1.4.335.0/x86_64/lib/* /usr/lib/x86_64-linux-gnu/ && \
+            cp -rfv /opt/vulkan-sdk/1.4.335.0/x86_64/include/* /usr/include/ && \
+            cp -rfv /opt/vulkan-sdk/1.4.335.0/x86_64/share/* /usr/share/ && \
+            rm -rf /opt/vulkan-sdk
+        fi
+        if [ "arm64" = "$TARGETARCH" ]; then
+            mkdir vulkan && cd vulkan && \
+            curl -L -o vulkan-sdk.tar.xz https://github.com/mudler/vulkan-sdk-arm/releases/download/1.4.335.0/vulkansdk-ubuntu-24.04-arm-1.4.335.0.tar.xz && \
+            tar -xvf vulkan-sdk.tar.xz && \
+            rm vulkan-sdk.tar.xz && \
+            cd 1.4.335.0 && \
+            cp -rfv aarch64/bin/* /usr/bin/ && \
+            cp -rfv aarch64/lib/* /usr/lib/aarch64-linux-gnu/ && \
+            cp -rfv aarch64/include/* /usr/include/ && \
+            cp -rfv aarch64/share/* /usr/share/ && \
+            cd ../.. && \
+            rm -rf vulkan
+        fi
+        ldconfig && \
+        apt-get clean && \
+        rm -rf /var/lib/apt/lists/*
+    fi
+EOT
+
+# CuBLAS requirements
+RUN <<EOT bash
+    if ( [ "${BUILD_TYPE}" = "cublas" ] || [ "${BUILD_TYPE}" = "l4t" ] ) && [ "${SKIP_DRIVERS}" = "false" ]; then
+        apt-get update && \
+        apt-get install -y  --no-install-recommends \
+            software-properties-common pciutils
+        if [ "amd64" = "$TARGETARCH" ]; then
+            curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu${UBUNTU_VERSION}/x86_64/cuda-keyring_1.1-1_all.deb
+        fi
+        if [ "arm64" = "$TARGETARCH" ]; then
+            if [ "${CUDA_MAJOR_VERSION}" = "13" ]; then
+                curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu${UBUNTU_VERSION}/sbsa/cuda-keyring_1.1-1_all.deb
+            else
+                curl -O https://developer.download.nvidia.com/compute/cuda/repos/ubuntu${UBUNTU_VERSION}/arm64/cuda-keyring_1.1-1_all.deb
+            fi
+        fi
+        dpkg -i cuda-keyring_1.1-1_all.deb && \
+        rm -f cuda-keyring_1.1-1_all.deb && \
+        apt-get update && \
+        apt-get install -y --no-install-recommends \
+            cuda-nvcc-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
+            libcufft-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
+            libcurand-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
+            libcublas-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
+            libcusparse-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} \
+            libcusolver-dev-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION}
+        if [ "${CUDA_MAJOR_VERSION}" = "13" ] && [ "arm64" = "$TARGETARCH" ]; then
+            apt-get install -y --no-install-recommends \
+            libcufile-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libcudnn9-cuda-${CUDA_MAJOR_VERSION} cuda-cupti-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION} libnvjitlink-${CUDA_MAJOR_VERSION}-${CUDA_MINOR_VERSION}
+        fi
+        apt-get clean && \
+        rm -rf /var/lib/apt/lists/*
+    fi
+EOT
+
+
+# https://github.com/NVIDIA/Isaac-GR00T/issues/343
+RUN <<EOT bash
+    if [ "${BUILD_TYPE}" = "cublas" ] && [ "${TARGETARCH}" = "arm64" ]; then
+        wget https://developer.download.nvidia.com/compute/cudss/0.6.0/local_installers/cudss-local-tegra-repo-ubuntu${UBUNTU_VERSION}-0.6.0_0.6.0-1_arm64.deb && \
+        dpkg -i cudss-local-tegra-repo-ubuntu${UBUNTU_VERSION}-0.6.0_0.6.0-1_arm64.deb && \
+        cp /var/cudss-local-tegra-repo-ubuntu${UBUNTU_VERSION}-0.6.0/cudss-*-keyring.gpg /usr/share/keyrings/ && \
+        apt-get update && apt-get -y install cudss cudss-cuda-${CUDA_MAJOR_VERSION} && \
+        wget https://developer.download.nvidia.com/compute/nvpl/25.5/local_installers/nvpl-local-repo-ubuntu${UBUNTU_VERSION}-25.5_1.0-1_arm64.deb && \
+        dpkg -i nvpl-local-repo-ubuntu${UBUNTU_VERSION}-25.5_1.0-1_arm64.deb && \
+        cp /var/nvpl-local-repo-ubuntu${UBUNTU_VERSION}-25.5/nvpl-*-keyring.gpg /usr/share/keyrings/ && \
+        apt-get update && apt-get install -y nvpl
+    fi
+EOT
+
+# If we are building with clblas support, we need the libraries for the builds
+RUN if [ "${BUILD_TYPE}" = "clblas" ] && [ "${SKIP_DRIVERS}" = "false" ]; then \
+        apt-get update && \
+        apt-get install -y --no-install-recommends \
+            libclblast-dev && \
+        apt-get clean && \
+        rm -rf /var/lib/apt/lists/* \
+    ; fi
+
+RUN if [ "${BUILD_TYPE}" = "hipblas" ] && [ "${SKIP_DRIVERS}" = "false" ]; then \
+        apt-get update && \
+        apt-get install -y --no-install-recommends \
+            hipblas-dev \
+            rocblas-dev && \
+        apt-get clean && \
+        rm -rf /var/lib/apt/lists/* && \
+        # I have no idea why, but the ROCM lib packages don't trigger ldconfig after they install, which results in local-ai and others not being able
+        # to locate the libraries. We run ldconfig ourselves to work around this packaging deficiency
+        ldconfig && \
+        # Log which GPU architectures have rocBLAS kernel support
+        echo "rocBLAS library data architectures:" && \
+        (ls /opt/rocm*/lib/rocblas/library/Kernels* 2>/dev/null || ls /opt/rocm*/lib64/rocblas/library/Kernels* 2>/dev/null) | grep -oP 'gfx[0-9a-z+-]+' | sort -u || \
+        echo "WARNING: No rocBLAS kernel data found" \
+    ; fi
+
+RUN echo "TARGETARCH: $TARGETARCH"
+
+# We need protoc installed, and the version in 22.04 is too old.  We will create one as part installing the GRPC build below
+# but that will also being in a newer version of absl which stablediffusion cannot compile with.  This version of protoc is only
+# here so that we can generate the grpc code for the stablediffusion build
+RUN <<EOT bash
+    if [ "amd64" = "$TARGETARCH" ]; then
+        curl -L -s https://github.com/protocolbuffers/protobuf/releases/download/v27.1/protoc-27.1-linux-x86_64.zip -o protoc.zip && \
+        unzip -j -d /usr/local/bin protoc.zip bin/protoc && \
+        rm protoc.zip
+    fi
+    if [ "arm64" = "$TARGETARCH" ]; then
+        curl -L -s https://github.com/protocolbuffers/protobuf/releases/download/v27.1/protoc-27.1-linux-aarch_64.zip -o protoc.zip && \
+        unzip -j -d /usr/local/bin protoc.zip bin/protoc && \
+        rm protoc.zip
+    fi
+EOT
+
+# Install CMake (the version in 22.04 is too old)
+RUN <<EOT bash
+    if [ "${CMAKE_FROM_SOURCE}" = "true" ]; then
+        curl -L -s https://github.com/Kitware/CMake/releases/download/v${CMAKE_VERSION}/cmake-${CMAKE_VERSION}.tar.gz -o cmake.tar.gz && tar xvf cmake.tar.gz && cd cmake-${CMAKE_VERSION} && ./configure && make && make install
+    else
+        apt-get update && \
+        apt-get install -y \
+            cmake && \
+        apt-get clean && \
+        rm -rf /var/lib/apt/lists/*
+    fi
+EOT
+
+COPY --from=grpc /opt/grpc /usr/local
+
+
+COPY . /LocalAI
+
+RUN <<'EOT' bash
+set -euxo pipefail
+
+if [[ -n "${CUDA_DOCKER_ARCH:-}" ]]; then
+  CUDA_ARCH_ESC="${CUDA_DOCKER_ARCH//;/\\;}"
+  export CMAKE_ARGS="${CMAKE_ARGS:-} -DCMAKE_CUDA_ARCHITECTURES=${CUDA_ARCH_ESC}"
+  echo "CMAKE_ARGS(env) = ${CMAKE_ARGS}"
+  rm -rf /LocalAI/backend/cpp/turboquant-*-build
+fi
+
+cd /LocalAI/backend/cpp/turboquant
+
+if [ "${TARGETARCH}" = "arm64" ] || [ "${BUILD_TYPE}" = "hipblas" ]; then
+  make turboquant-fallback
+  make turboquant-grpc
+  make turboquant-rpc-server
+else
+  make turboquant-avx
+  make turboquant-avx2
+  make turboquant-avx512
+  make turboquant-fallback
+  make turboquant-grpc
+  make turboquant-rpc-server
+fi
+EOT
+
+
+# Copy libraries using a script to handle architecture differences
+RUN make -BC /LocalAI/backend/cpp/turboquant package
+
+
+FROM scratch
+
+
+# Copy all available binaries (the build process only creates the appropriate ones for the target architecture)
+COPY --from=builder /LocalAI/backend/cpp/turboquant/package/. ./

backend/README.md

@@ -0,0 +1,210 @@
+# LocalAI Backend Architecture
+
+This directory contains the core backend infrastructure for LocalAI, including the gRPC protocol definition, multi-language Dockerfiles, and language-specific backend implementations.
+
+## Overview
+
+LocalAI uses a unified gRPC-based architecture that allows different programming languages to implement AI backends while maintaining consistent interfaces and capabilities. The backend system supports multiple hardware acceleration targets and provides a standardized way to integrate various AI models and frameworks.
+
+## Architecture Components
+
+### 1. Protocol Definition (`backend.proto`)
+
+The `backend.proto` file defines the gRPC service interface that all backends must implement. This ensures consistency across different language implementations and provides a contract for communication between LocalAI core and backend services.
+
+#### Core Services
+
+- **Text Generation**: `Predict`, `PredictStream` for LLM inference
+- **Embeddings**: `Embedding` for text vectorization
+- **Image Generation**: `GenerateImage` for stable diffusion and image models
+- **Audio Processing**: `AudioTranscription`, `TTS`, `SoundGeneration`
+- **Video Generation**: `GenerateVideo` for video synthesis
+- **Object Detection**: `Detect` for computer vision tasks
+- **Vector Storage**: `StoresSet`, `StoresGet`, `StoresFind` for RAG operations
+- **Reranking**: `Rerank` for document relevance scoring
+- **Voice Activity Detection**: `VAD` for audio segmentation
+
+#### Key Message Types
+
+- **`PredictOptions`**: Comprehensive configuration for text generation
+- **`ModelOptions`**: Model loading and configuration parameters
+- **`Result`**: Standardized response format
+- **`StatusResponse`**: Backend health and memory usage information
+
+### 2. Multi-Language Dockerfiles
+
+The backend system provides language-specific Dockerfiles that handle the build environment and dependencies for different programming languages:
+
+- `Dockerfile.python`
+- `Dockerfile.golang`
+- `Dockerfile.llama-cpp`
+
+### 3. Language-Specific Implementations
+
+#### Python Backends (`python/`)
+- **transformers**: Hugging Face Transformers framework
+- **vllm**: High-performance LLM inference
+- **mlx**: Apple Silicon optimization
+- **diffusers**: Stable Diffusion models
+- **Audio**: coqui, faster-whisper, kitten-tts
+- **Vision**: mlx-vlm, rfdetr
+- **Specialized**: rerankers, chatterbox, kokoro
+
+#### Go Backends (`go/`)
+- **whisper**: OpenAI Whisper speech recognition in Go with GGML cpp backend (whisper.cpp)
+- **stablediffusion-ggml**: Stable Diffusion in Go with GGML Cpp backend
+- **piper**: Text-to-speech synthesis Golang with C bindings using rhaspy/piper
+- **local-store**: Vector storage backend
+
+#### C++ Backends (`cpp/`)
+- **llama-cpp**: Llama.cpp integration
+- **grpc**: GRPC utilities and helpers
+
+## Hardware Acceleration Support
+
+### CUDA (NVIDIA)
+- **Versions**: CUDA 12.x, 13.x
+- **Features**: cuBLAS, cuDNN, TensorRT optimization
+- **Targets**: x86_64, ARM64 (Jetson)
+
+### ROCm (AMD)
+- **Features**: HIP, rocBLAS, MIOpen
+- **Targets**: AMD GPUs with ROCm support
+
+### Intel
+- **Features**: oneAPI, Intel Extension for PyTorch
+- **Targets**: Intel GPUs, XPUs, CPUs
+
+### Vulkan
+- **Features**: Cross-platform GPU acceleration
+- **Targets**: Windows, Linux, Android, macOS
+
+### Apple Silicon
+- **Features**: MLX framework, Metal Performance Shaders
+- **Targets**: M1/M2/M3 Macs
+
+## Backend Registry (`index.yaml`)
+
+The `index.yaml` file serves as a central registry for all available backends, providing:
+
+- **Metadata**: Name, description, license, icons
+- **Capabilities**: Hardware targets and optimization profiles
+- **Tags**: Categorization for discovery
+- **URLs**: Source code and documentation links
+
+## Building Backends
+
+### Prerequisites
+- Docker with multi-architecture support
+- Appropriate hardware drivers (CUDA, ROCm, etc.)
+- Build tools (make, cmake, compilers)
+
+### Build Commands
+
+Example of build commands with Docker
+
+```bash
+# Build Python backend
+docker build -f backend/Dockerfile.python \
+  --build-arg BACKEND=transformers \
+  --build-arg BUILD_TYPE=cublas12 \
+  --build-arg CUDA_MAJOR_VERSION=12 \
+  --build-arg CUDA_MINOR_VERSION=0 \
+  -t localai-backend-transformers .
+
+# Build Go backend
+docker build -f backend/Dockerfile.golang \
+  --build-arg BACKEND=whisper \
+  --build-arg BUILD_TYPE=cpu \
+  -t localai-backend-whisper .
+
+# Build C++ backend
+docker build -f backend/Dockerfile.llama-cpp \
+  --build-arg BACKEND=llama-cpp \
+  --build-arg BUILD_TYPE=cublas12 \
+  -t localai-backend-llama-cpp .
+```
+
+For ARM64/Mac builds, docker can't be used, and the makefile in the respective backend has to be used.
+
+### Build Types
+
+- **`cpu`**: CPU-only optimization
+- **`cublas12`**, **`cublas13`**: CUDA 12.x, 13.x with cuBLAS
+- **`hipblas`**: ROCm with rocBLAS
+- **`intel`**: Intel oneAPI optimization
+- **`vulkan`**: Vulkan-based acceleration
+- **`metal`**: Apple Metal optimization
+
+## Backend Development
+
+### Creating a New Backend
+
+1. **Choose Language**: Select Python, Go, or C++ based on requirements
+2. **Implement Interface**: Implement the gRPC service defined in `backend.proto`
+3. **Add Dependencies**: Create appropriate requirements files
+4. **Configure Build**: Set up Dockerfile and build scripts
+5. **Register Backend**: Add entry to `index.yaml`
+6. **Test Integration**: Verify gRPC communication and functionality
+
+### Backend Structure
+
+```
+backend-name/
+├── backend.py/go/cpp    # Main implementation
+├── requirements.txt      # Dependencies
+├── Dockerfile           # Build configuration
+├── install.sh           # Installation script
+├── run.sh              # Execution script
+├── test.sh             # Test script
+└── README.md           # Backend documentation
+```
+
+### Required gRPC Methods
+
+At minimum, backends must implement:
+- `Health()` - Service health check
+- `LoadModel()` - Model loading and initialization
+- `Predict()` - Main inference endpoint
+- `Status()` - Backend status and metrics
+
+## Integration with LocalAI Core
+
+Backends communicate with LocalAI core through gRPC:
+
+1. **Service Discovery**: Core discovers available backends
+2. **Model Loading**: Core requests model loading via `LoadModel`
+3. **Inference**: Core sends requests via `Predict` or specialized endpoints
+4. **Streaming**: Core handles streaming responses for real-time generation
+5. **Monitoring**: Core tracks backend health and performance
+
+## Performance Optimization
+
+### Memory Management
+- **Model Caching**: Efficient model loading and caching
+- **Batch Processing**: Optimize for multiple concurrent requests
+- **Memory Pinning**: GPU memory optimization for CUDA/ROCm
+
+### Hardware Utilization
+- **Multi-GPU**: Support for tensor parallelism
+- **Mixed Precision**: FP16/BF16 for memory efficiency
+- **Kernel Fusion**: Optimized CUDA/ROCm kernels
+
+## Troubleshooting
+
+### Common Issues
+
+1. **GRPC Connection**: Verify backend service is running and accessible
+2. **Model Loading**: Check model paths and dependencies
+3. **Hardware Detection**: Ensure appropriate drivers and libraries
+4. **Memory Issues**: Monitor GPU memory usage and model sizes
+
+## Contributing
+
+When contributing to the backend system:
+
+1. **Follow Protocol**: Implement the exact gRPC interface
+2. **Add Tests**: Include comprehensive test coverage
+3. **Document**: Provide clear usage examples
+4. **Optimize**: Consider performance and resource usage
+5. **Validate**: Test across different hardware targets

backend/backend.proto

@@ -9,6 +9,7 @@ package backend;
 
 service Backend {
   rpc Health(HealthMessage) returns (Reply) {}
+  rpc Free(HealthMessage) returns (Result) {}
   rpc Predict(PredictOptions) returns (Reply) {}
   rpc LoadModel(ModelOptions) returns (Result) {}
   rpc PredictStream(PredictOptions) returns (stream Reply) {}
@@ -16,7 +17,9 @@ service Backend {
   rpc GenerateImage(GenerateImageRequest) returns (Result) {}
   rpc GenerateVideo(GenerateVideoRequest) returns (Result) {}
   rpc AudioTranscription(TranscriptRequest) returns (TranscriptResult) {}
+  rpc AudioTranscriptionStream(TranscriptRequest) returns (stream TranscriptStreamResponse) {}
   rpc TTS(TTSRequest) returns (Result) {}
+  rpc TTSStream(TTSRequest) returns (stream Reply) {}
   rpc SoundGeneration(SoundGenerationRequest) returns (Result) {}
   rpc TokenizeString(PredictOptions) returns (TokenizationResponse) {}
   rpc Status(HealthMessage) returns (StatusResponse) {}
@@ -32,6 +35,24 @@ service Backend {
   rpc GetMetrics(MetricsRequest) returns (MetricsResponse);
 
   rpc VAD(VADRequest) returns (VADResponse) {}
+
+  rpc AudioEncode(AudioEncodeRequest) returns (AudioEncodeResult) {}
+  rpc AudioDecode(AudioDecodeRequest) returns (AudioDecodeResult) {}
+
+  rpc ModelMetadata(ModelOptions) returns (ModelMetadataResponse) {}
+
+  // Fine-tuning RPCs
+  rpc StartFineTune(FineTuneRequest) returns (FineTuneJobResult) {}
+  rpc FineTuneProgress(FineTuneProgressRequest) returns (stream FineTuneProgressUpdate) {}
+  rpc StopFineTune(FineTuneStopRequest) returns (Result) {}
+  rpc ListCheckpoints(ListCheckpointsRequest) returns (ListCheckpointsResponse) {}
+  rpc ExportModel(ExportModelRequest) returns (Result) {}
+
+  // Quantization RPCs
+  rpc StartQuantization(QuantizationRequest) returns (QuantizationJobResult) {}
+  rpc QuantizationProgress(QuantizationProgressRequest) returns (stream QuantizationProgressUpdate) {}
+  rpc StopQuantization(QuantizationStopRequest) returns (Result) {}
+
 }
 
 // Define the empty request
@@ -154,6 +175,28 @@ message PredictOptions {
   repeated string Videos = 45;
   repeated string Audios = 46;
   string CorrelationId = 47;
+  string Tools = 48;  // JSON array of available tools/functions for tool calling
+  string ToolChoice = 49;  // JSON string or object specifying tool choice behavior
+  int32 Logprobs = 50;  // Number of top logprobs to return (maps to OpenAI logprobs parameter)
+  int32 TopLogprobs = 51;  // Number of top logprobs to return per token (maps to OpenAI top_logprobs parameter)
+  map<string, string> Metadata = 52;  // Generic per-request metadata (e.g., enable_thinking)
+  float MinP = 53;  // Minimum probability sampling threshold (0.0 = disabled)
+}
+
+// ToolCallDelta represents an incremental tool call update from the C++ parser.
+// Used for both streaming (partial diffs) and non-streaming (final tool calls).
+message ToolCallDelta {
+  int32 index = 1;           // tool call index (0-based)
+  string id = 2;             // tool call ID (e.g., "call_abc123")
+  string name = 3;           // function name (set on first appearance)
+  string arguments = 4;      // arguments chunk (incremental in streaming, full in non-streaming)
+}
+
+// ChatDelta represents incremental content/reasoning/tool_call updates parsed by the C++ backend.
+message ChatDelta {
+  string content = 1;                       // content text delta
+  string reasoning_content = 2;             // reasoning/thinking text delta
+  repeated ToolCallDelta tool_calls = 3;    // tool call deltas
 }
 
 // The response message containing the result
@@ -164,6 +207,8 @@ message Reply {
   double timing_prompt_processing = 4;
   double timing_token_generation = 5;
   bytes audio = 6;
+  bytes logprobs = 7;  // JSON-encoded logprobs data matching OpenAI format
+  repeated ChatDelta chat_deltas = 8;       // Parsed chat deltas from C++ autoparser (streaming + non-streaming)
 }
 
 message GrammarTrigger {
@@ -242,7 +287,7 @@ message ModelOptions {
 
   string Type = 49;
 
-  bool FlashAttention = 56;
+  string FlashAttention = 56;
   bool NoKVOffload = 57;
 
   string ModelPath = 59;
@@ -276,11 +321,23 @@ message TranscriptRequest {
   string language = 3;
   uint32 threads = 4;
   bool translate = 5;
+  bool diarize = 6;
+  string prompt = 7;
+  float temperature = 8;
+  repeated string timestamp_granularities = 9;
+  bool stream = 10;
 }
 
 message TranscriptResult {
   repeated TranscriptSegment segments = 1;
   string text = 2;
+  string language = 3;
+  float duration = 4;
+}
+
+message TranscriptStreamResponse {
+  string delta = 1;
+  TranscriptResult final_result = 2;
 }
 
 message TranscriptSegment {
@@ -289,12 +346,12 @@ message TranscriptSegment {
   int64 end = 3;
   string text = 4;
   repeated int32 tokens = 5;
+  string speaker = 6;
 }
 
 message GenerateImageRequest {
   int32 height = 1;
   int32 width = 2;
-  int32 mode = 3;
   int32 step = 4;
   int32 seed = 5;
   string positive_prompt = 6;
@@ -305,22 +362,24 @@ message GenerateImageRequest {
   // Diffusers
   string EnableParameters = 10;
   int32 CLIPSkip = 11;
-  
+
   // Reference images for models that support them (e.g., Flux Kontext)
   repeated string ref_images = 12;
 }
 
 message GenerateVideoRequest {
   string prompt = 1;
-  string start_image = 2;  // Path or base64 encoded image for the start frame
-  string end_image = 3;    // Path or base64 encoded image for the end frame
-  int32 width = 4;
-  int32 height = 5;
-  int32 num_frames = 6;    // Number of frames to generate
-  int32 fps = 7;          // Frames per second
-  int32 seed = 8;
-  float cfg_scale = 9;    // Classifier-free guidance scale
-  string dst = 10;        // Output path for the generated video
+  string negative_prompt = 2;  // Negative prompt for video generation
+  string start_image = 3;  // Path or base64 encoded image for the start frame
+  string end_image = 4;    // Path or base64 encoded image for the end frame
+  int32 width = 5;
+  int32 height = 6;
+  int32 num_frames = 7;    // Number of frames to generate
+  int32 fps = 8;          // Frames per second
+  int32 seed = 9;
+  float cfg_scale = 10;    // Classifier-free guidance scale
+  int32 step = 11;         // Number of inference steps
+  string dst = 12;        // Output path for the generated video
 }
 
 message TTSRequest {
@@ -353,6 +412,14 @@ message SoundGenerationRequest {
   optional bool sample = 6;
   optional string src = 7;
   optional int32 src_divisor = 8;
+  optional bool think = 9;
+  optional string caption = 10;
+  optional string lyrics = 11;
+  optional int32 bpm = 12;
+  optional string keyscale = 13;
+  optional string language = 14;
+  optional string timesignature = 15;
+  optional bool instrumental = 17;
 }
 
 message TokenizationResponse {
@@ -379,10 +446,19 @@ message StatusResponse {
 message Message {
   string role = 1;
   string content = 2;
+  // Optional fields for OpenAI-compatible message format
+  string name = 3;                    // Tool name (for tool messages)
+  string tool_call_id = 4;            // Tool call ID (for tool messages)
+  string reasoning_content = 5;       // Reasoning content (for thinking models)
+  string tool_calls = 6;              // Tool calls as JSON string (for assistant messages with tool calls)
 }
 
 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 {
@@ -392,8 +468,230 @@ message Detection {
   float height = 4;
   float confidence = 5;
   string class_name = 6;
+  bytes mask = 7;              // PNG-encoded binary segmentation mask
 }
 
 message DetectResponse {
   repeated Detection Detections = 1;
 }
+
+message ToolFormatMarkers {
+  string format_type = 1;           // "json_native", "tag_with_json", "tag_with_tagged"
+
+  // Tool section markers
+  string section_start = 2;         // e.g., "<tool_call>", "[TOOL_CALLS]"
+  string section_end = 3;           // e.g., "</tool_call>"
+  string per_call_start = 4;        // e.g., "<|tool_call_begin|>"
+  string per_call_end = 5;          // e.g., "<|tool_call_end|>"
+
+  // Function name markers (TAG_WITH_JSON / TAG_WITH_TAGGED)
+  string func_name_prefix = 6;     // e.g., "<function="
+  string func_name_suffix = 7;     // e.g., ">"
+  string func_close = 8;           // e.g., "</function>"
+
+  // Argument markers (TAG_WITH_TAGGED)
+  string arg_name_prefix = 9;      // e.g., "<param="
+  string arg_name_suffix = 10;     // e.g., ">"
+  string arg_value_prefix = 11;
+  string arg_value_suffix = 12;    // e.g., "</param>"
+  string arg_separator = 13;       // e.g., "\n"
+
+  // JSON format fields (JSON_NATIVE)
+  string name_field = 14;          // e.g., "name"
+  string args_field = 15;          // e.g., "arguments"
+  string id_field = 16;            // e.g., "id"
+  bool fun_name_is_key = 17;
+  bool tools_array_wrapped = 18;
+  reserved 19;
+
+  // Reasoning markers
+  string reasoning_start = 20;     // e.g., "<think>"
+  string reasoning_end = 21;       // e.g., "</think>"
+
+  // Content markers
+  string content_start = 22;
+  string content_end = 23;
+
+  // Args wrapper markers
+  string args_start = 24;          // e.g., "<args>"
+  string args_end = 25;            // e.g., "</args>"
+
+  // JSON parameter ordering
+  string function_field = 26;      // e.g., "function" (wrapper key in JSON)
+  repeated string parameter_order = 27;
+
+  // Generated ID field (alternative field name for generated IDs)
+  string gen_id_field = 28;        // e.g., "call_id"
+
+  // Call ID markers (position and delimiters for tool call IDs)
+  string call_id_position = 29;    // "none", "pre_func_name", "between_func_and_args", "post_args"
+  string call_id_prefix = 30;      // e.g., "[CALL_ID]"
+  string call_id_suffix = 31;      // e.g., ""
+}
+
+message AudioEncodeRequest {
+  bytes pcm_data = 1;
+  int32 sample_rate = 2;
+  int32 channels = 3;
+  map<string, string> options = 4;
+}
+
+message AudioEncodeResult {
+  repeated bytes frames = 1;
+  int32 sample_rate = 2;
+  int32 samples_per_frame = 3;
+}
+
+message AudioDecodeRequest {
+  repeated bytes frames = 1;
+  map<string, string> options = 2;
+}
+
+message AudioDecodeResult {
+  bytes pcm_data = 1;
+  int32 sample_rate = 2;
+  int32 samples_per_frame = 3;
+}
+
+message ModelMetadataResponse {
+  bool supports_thinking = 1;
+  string rendered_template = 2;  // The rendered chat template with enable_thinking=true (empty if not applicable)
+  ToolFormatMarkers tool_format = 3;  // Auto-detected tool format markers from differential template analysis
+  string media_marker = 4;  // Marker the backend expects in the prompt for each multimodal input (images/audio/video). Empty when the backend does not use a marker.
+}
+
+// Fine-tuning messages
+
+message FineTuneRequest {
+  // Model identification
+  string model = 1;                       // HF model name or local path
+  string training_type = 2;              // "lora", "loha", "lokr", "full" — what parameters to train
+  string training_method = 3;            // "sft", "dpo", "grpo", "rloo", "reward", "kto", "orpo", "network_training"
+
+  // Adapter config (universal across LoRA/LoHa/LoKr for LLM + diffusion)
+  int32 adapter_rank = 10;               // LoRA rank (r), default 16
+  int32 adapter_alpha = 11;              // scaling factor, default 16
+  float adapter_dropout = 12;            // default 0.0
+  repeated string target_modules = 13;   // layer names to adapt
+
+  // Universal training hyperparameters
+  float learning_rate = 20;              // default 2e-4
+  int32 num_epochs = 21;                 // default 3
+  int32 batch_size = 22;                 // default 2
+  int32 gradient_accumulation_steps = 23; // default 4
+  int32 warmup_steps = 24;              // default 5
+  int32 max_steps = 25;                 // 0 = use epochs
+  int32 save_steps = 26;               // 0 = only save final
+  float weight_decay = 27;             // default 0.01
+  bool gradient_checkpointing = 28;
+  string optimizer = 29;               // adamw_8bit, adamw, sgd, adafactor, prodigy
+  int32 seed = 30;                     // default 3407
+  string mixed_precision = 31;        // fp16, bf16, fp8, no
+
+  // Dataset
+  string dataset_source = 40;          // HF dataset ID, local file/dir path
+  string dataset_split = 41;           // train, test, etc.
+
+  // Output
+  string output_dir = 50;
+  string job_id = 51;                  // client-assigned or auto-generated
+
+  // Resume training from a checkpoint
+  string resume_from_checkpoint = 55;  // path to checkpoint dir to resume from
+
+  // Backend-specific AND method-specific extensibility
+  map<string, string> extra_options = 60;
+}
+
+message FineTuneJobResult {
+  string job_id = 1;
+  bool success = 2;
+  string message = 3;
+}
+
+message FineTuneProgressRequest {
+  string job_id = 1;
+}
+
+message FineTuneProgressUpdate {
+  string job_id = 1;
+  int32 current_step = 2;
+  int32 total_steps = 3;
+  float current_epoch = 4;
+  float total_epochs = 5;
+  float loss = 6;
+  float learning_rate = 7;
+  float grad_norm = 8;
+  float eval_loss = 9;
+  float eta_seconds = 10;
+  float progress_percent = 11;
+  string status = 12;                  // queued, caching, loading_model, loading_dataset, training, saving, completed, failed, stopped
+  string message = 13;
+  string checkpoint_path = 14;        // set when a checkpoint is saved
+  string sample_path = 15;           // set when a sample is generated (video/image backends)
+  map<string, float> extra_metrics = 16; // method-specific metrics
+}
+
+message FineTuneStopRequest {
+  string job_id = 1;
+  bool save_checkpoint = 2;
+}
+
+message ListCheckpointsRequest {
+  string output_dir = 1;
+}
+
+message ListCheckpointsResponse {
+  repeated CheckpointInfo checkpoints = 1;
+}
+
+message CheckpointInfo {
+  string path = 1;
+  int32 step = 2;
+  float epoch = 3;
+  float loss = 4;
+  string created_at = 5;
+}
+
+message ExportModelRequest {
+  string checkpoint_path = 1;
+  string output_path = 2;
+  string export_format = 3;           // lora, loha, lokr, merged_16bit, merged_4bit, gguf, diffusers
+  string quantization_method = 4;     // for GGUF: q4_k_m, q5_k_m, q8_0, f16, etc.
+  string model = 5;                   // base model name (for merge operations)
+  map<string, string> extra_options = 6;
+}
+
+// Quantization messages
+
+message QuantizationRequest {
+  string model = 1;                      // HF model name or local path
+  string quantization_type = 2;          // q4_k_m, q5_k_m, q8_0, f16, etc.
+  string output_dir = 3;                 // where to write output files
+  string job_id = 4;                     // client-assigned job ID
+  map<string, string> extra_options = 5; // hf_token, custom flags, etc.
+}
+
+message QuantizationJobResult {
+  string job_id = 1;
+  bool success = 2;
+  string message = 3;
+}
+
+message QuantizationProgressRequest {
+  string job_id = 1;
+}
+
+message QuantizationProgressUpdate {
+  string job_id = 1;
+  float progress_percent = 2;
+  string status = 3;                     // queued, downloading, converting, quantizing, completed, failed, stopped
+  string message = 4;
+  string output_file = 5;               // set when completed — path to the output GGUF file
+  map<string, float> extra_metrics = 6;  // e.g. file_size_mb, compression_ratio
+}
+
+message QuantizationStopRequest {
+  string job_id = 1;
+}
+

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

@@ -0,0 +1,78 @@
+## Clip/LLaVA library for multimodal support — built locally from copied sources
+set(TARGET myclip)
+add_library(${TARGET} clip.cpp clip.h llava.cpp llava.h)
+install(TARGETS ${TARGET} LIBRARY)
+target_include_directories(myclip PUBLIC .)
+target_include_directories(myclip PUBLIC ../..)
+target_include_directories(myclip PUBLIC ../../common)
+target_link_libraries(${TARGET} PRIVATE common ggml llama ${CMAKE_THREAD_LIBS_INIT})
+target_compile_features(${TARGET} PRIVATE cxx_std_11)
+if (NOT MSVC)
+    target_compile_options(${TARGET} PRIVATE -Wno-cast-qual)
+endif()
+
+set(TARGET grpc-server)
+set(CMAKE_CXX_STANDARD 17)
+cmake_minimum_required(VERSION 3.15)
+set(TARGET grpc-server)
+set(_PROTOBUF_LIBPROTOBUF libprotobuf)
+set(_REFLECTION grpc++_reflection)
+
+if (${CMAKE_SYSTEM_NAME} MATCHES "Darwin")
+    if (CMAKE_HOST_SYSTEM_PROCESSOR MATCHES "arm64")
+        set(HOMEBREW_DEFAULT_PREFIX "/opt/homebrew")
+    else()
+        set(HOMEBREW_DEFAULT_PREFIX "/usr/local")
+    endif()
+    link_directories("${HOMEBREW_DEFAULT_PREFIX}/lib")
+    include_directories("${HOMEBREW_DEFAULT_PREFIX}/include")
+endif()
+
+find_package(absl CONFIG REQUIRED)
+find_package(Protobuf CONFIG REQUIRED)
+find_package(gRPC CONFIG REQUIRED)
+
+find_program(_PROTOBUF_PROTOC protoc)
+set(_GRPC_GRPCPP grpc++)
+find_program(_GRPC_CPP_PLUGIN_EXECUTABLE grpc_cpp_plugin)
+
+include_directories(${CMAKE_CURRENT_BINARY_DIR})
+include_directories(${Protobuf_INCLUDE_DIRS})
+
+message(STATUS "Using protobuf version ${Protobuf_VERSION} | Protobuf_INCLUDE_DIRS: ${Protobuf_INCLUDE_DIRS} | CMAKE_CURRENT_BINARY_DIR: ${CMAKE_CURRENT_BINARY_DIR}")
+
+# Proto file
+get_filename_component(hw_proto "../../../../../../backend/backend.proto" ABSOLUTE)
+get_filename_component(hw_proto_path "${hw_proto}" PATH)
+
+set(hw_proto_srcs "${CMAKE_CURRENT_BINARY_DIR}/backend.pb.cc")
+set(hw_proto_hdrs "${CMAKE_CURRENT_BINARY_DIR}/backend.pb.h")
+set(hw_grpc_srcs "${CMAKE_CURRENT_BINARY_DIR}/backend.grpc.pb.cc")
+set(hw_grpc_hdrs "${CMAKE_CURRENT_BINARY_DIR}/backend.grpc.pb.h")
+
+add_custom_command(
+      OUTPUT "${hw_proto_srcs}" "${hw_proto_hdrs}" "${hw_grpc_srcs}" "${hw_grpc_hdrs}"
+      COMMAND ${_PROTOBUF_PROTOC}
+      ARGS --grpc_out "${CMAKE_CURRENT_BINARY_DIR}"
+        --cpp_out "${CMAKE_CURRENT_BINARY_DIR}"
+        -I "${hw_proto_path}"
+        --plugin=protoc-gen-grpc="${_GRPC_CPP_PLUGIN_EXECUTABLE}"
+        "${hw_proto}"
+      DEPENDS "${hw_proto}")
+
+add_library(hw_grpc_proto
+  ${hw_grpc_srcs}
+  ${hw_grpc_hdrs}
+  ${hw_proto_srcs}
+  ${hw_proto_hdrs} )
+
+add_executable(${TARGET} grpc-server.cpp json.hpp)
+target_link_libraries(${TARGET} PRIVATE common llama myclip ${CMAKE_THREAD_LIBS_INIT} absl::flags hw_grpc_proto
+  absl::flags_parse
+  gRPC::${_REFLECTION}
+  gRPC::${_GRPC_GRPCPP}
+  protobuf::${_PROTOBUF_LIBPROTOBUF})
+target_compile_features(${TARGET} PRIVATE cxx_std_11)
+if(TARGET BUILD_INFO)
+  add_dependencies(${TARGET} BUILD_INFO)
+endif()

backend/cpp/ik-llama-cpp/Makefile

@@ -0,0 +1,167 @@
+
+IK_LLAMA_VERSION?=d4824131580b94ffa7b0e91c955e2b237c2fe16e
+LLAMA_REPO?=https://github.com/ikawrakow/ik_llama.cpp
+
+CMAKE_ARGS?=
+BUILD_TYPE?=
+NATIVE?=false
+ONEAPI_VARS?=/opt/intel/oneapi/setvars.sh
+TARGET?=--target grpc-server
+JOBS?=$(shell nproc 2>/dev/null || sysctl -n hw.ncpu 2>/dev/null || echo 1)
+ARCH?=$(shell uname -m)
+
+# Disable Shared libs as we are linking on static gRPC and we can't mix shared and static
+CMAKE_ARGS+=-DBUILD_SHARED_LIBS=OFF -DLLAMA_CURL=OFF
+
+CURRENT_MAKEFILE_DIR := $(dir $(abspath $(lastword $(MAKEFILE_LIST))))
+ifeq ($(NATIVE),false)
+	CMAKE_ARGS+=-DGGML_NATIVE=OFF -DLLAMA_OPENSSL=OFF
+endif
+# If build type is cublas, then we set -DGGML_CUDA=ON to CMAKE_ARGS automatically
+ifeq ($(BUILD_TYPE),cublas)
+	CMAKE_ARGS+=-DGGML_CUDA=ON
+# If build type is openblas then we set -DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
+# to CMAKE_ARGS automatically
+else ifeq ($(BUILD_TYPE),openblas)
+	CMAKE_ARGS+=-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
+# If build type is clblas (openCL) we set -DGGML_CLBLAST=ON -DCLBlast_DIR=/some/path
+else ifeq ($(BUILD_TYPE),clblas)
+	CMAKE_ARGS+=-DGGML_CLBLAST=ON -DCLBlast_DIR=/some/path
+# If it's hipblas we do have also to set CC=/opt/rocm/llvm/bin/clang CXX=/opt/rocm/llvm/bin/clang++
+else ifeq ($(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_HIP=ON -DAMDGPU_TARGETS=$(AMDGPU_TARGETS)
+else ifeq ($(BUILD_TYPE),vulkan)
+	CMAKE_ARGS+=-DGGML_VULKAN=1
+else ifeq ($(OS),Darwin)
+	ifeq ($(BUILD_TYPE),)
+		BUILD_TYPE=metal
+	endif
+	ifneq ($(BUILD_TYPE),metal)
+		CMAKE_ARGS+=-DGGML_METAL=OFF
+	else
+		CMAKE_ARGS+=-DGGML_METAL=ON
+		CMAKE_ARGS+=-DGGML_METAL_EMBED_LIBRARY=ON
+		CMAKE_ARGS+=-DGGML_METAL_USE_BF16=ON
+		CMAKE_ARGS+=-DGGML_OPENMP=OFF
+	endif
+	TARGET+=--target ggml-metal
+endif
+
+ifeq ($(BUILD_TYPE),sycl_f16)
+	CMAKE_ARGS+=-DGGML_SYCL=ON \
+		-DCMAKE_C_COMPILER=icx \
+		-DCMAKE_CXX_COMPILER=icpx \
+		-DCMAKE_CXX_FLAGS="-fsycl" \
+		-DGGML_SYCL_F16=ON
+endif
+
+ifeq ($(BUILD_TYPE),sycl_f32)
+	CMAKE_ARGS+=-DGGML_SYCL=ON \
+		-DCMAKE_C_COMPILER=icx \
+		-DCMAKE_CXX_COMPILER=icpx \
+		-DCMAKE_CXX_FLAGS="-fsycl"
+endif
+
+INSTALLED_PACKAGES=$(CURDIR)/../grpc/installed_packages
+INSTALLED_LIB_CMAKE=$(INSTALLED_PACKAGES)/lib/cmake
+ADDED_CMAKE_ARGS=-Dabsl_DIR=${INSTALLED_LIB_CMAKE}/absl \
+				 -DProtobuf_DIR=${INSTALLED_LIB_CMAKE}/protobuf \
+				 -Dutf8_range_DIR=${INSTALLED_LIB_CMAKE}/utf8_range \
+				 -DgRPC_DIR=${INSTALLED_LIB_CMAKE}/grpc \
+				 -DCMAKE_CXX_STANDARD_INCLUDE_DIRECTORIES=${INSTALLED_PACKAGES}/include
+build-ik-llama-cpp-grpc-server:
+# Conditionally build grpc for the backend to use if needed
+ifdef BUILD_GRPC_FOR_BACKEND_LLAMA
+	$(MAKE) -C ../../grpc build
+	_PROTOBUF_PROTOC=${INSTALLED_PACKAGES}/bin/proto \
+	_GRPC_CPP_PLUGIN_EXECUTABLE=${INSTALLED_PACKAGES}/bin/grpc_cpp_plugin \
+	PATH="${INSTALLED_PACKAGES}/bin:${PATH}" \
+	CMAKE_ARGS="${CMAKE_ARGS} ${ADDED_CMAKE_ARGS}" \
+	IK_LLAMA_VERSION=$(IK_LLAMA_VERSION) \
+	$(MAKE) -C $(CURRENT_MAKEFILE_DIR)/../$(VARIANT) grpc-server
+else
+	echo "BUILD_GRPC_FOR_BACKEND_LLAMA is not defined."
+	IK_LLAMA_VERSION=$(IK_LLAMA_VERSION) $(MAKE) -C $(CURRENT_MAKEFILE_DIR)/../$(VARIANT) grpc-server
+endif
+
+ik-llama-cpp-avx2: llama.cpp
+	cp -rf $(CURRENT_MAKEFILE_DIR)/../ik-llama-cpp $(CURRENT_MAKEFILE_DIR)/../ik-llama-cpp-avx2-build
+	$(MAKE) -C $(CURRENT_MAKEFILE_DIR)/../ik-llama-cpp-avx2-build purge
+	$(info ${GREEN}I ik-llama-cpp build info:avx2${RESET})
+	CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=on -DGGML_AVX512=off -DGGML_FMA=on -DGGML_F16C=on" $(MAKE) VARIANT="ik-llama-cpp-avx2-build" build-ik-llama-cpp-grpc-server
+	cp -rfv $(CURRENT_MAKEFILE_DIR)/../ik-llama-cpp-avx2-build/grpc-server ik-llama-cpp-avx2
+
+ik-llama-cpp-avx512: llama.cpp
+	cp -rf $(CURRENT_MAKEFILE_DIR)/../ik-llama-cpp $(CURRENT_MAKEFILE_DIR)/../ik-llama-cpp-avx512-build
+	$(MAKE) -C $(CURRENT_MAKEFILE_DIR)/../ik-llama-cpp-avx512-build purge
+	$(info ${GREEN}I ik-llama-cpp build info:avx512${RESET})
+	CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=off -DGGML_AVX512=on -DGGML_FMA=on -DGGML_F16C=on" $(MAKE) VARIANT="ik-llama-cpp-avx512-build" build-ik-llama-cpp-grpc-server
+	cp -rfv $(CURRENT_MAKEFILE_DIR)/../ik-llama-cpp-avx512-build/grpc-server ik-llama-cpp-avx512
+
+ik-llama-cpp-avx: llama.cpp
+	cp -rf $(CURRENT_MAKEFILE_DIR)/../ik-llama-cpp $(CURRENT_MAKEFILE_DIR)/../ik-llama-cpp-avx-build
+	$(MAKE) -C $(CURRENT_MAKEFILE_DIR)/../ik-llama-cpp-avx-build purge
+	$(info ${GREEN}I ik-llama-cpp build info:avx${RESET})
+	CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_BMI2=off" $(MAKE) VARIANT="ik-llama-cpp-avx-build" build-ik-llama-cpp-grpc-server
+	cp -rfv $(CURRENT_MAKEFILE_DIR)/../ik-llama-cpp-avx-build/grpc-server ik-llama-cpp-avx
+
+ik-llama-cpp-fallback: llama.cpp
+	cp -rf $(CURRENT_MAKEFILE_DIR)/../ik-llama-cpp $(CURRENT_MAKEFILE_DIR)/../ik-llama-cpp-fallback-build
+	$(MAKE) -C $(CURRENT_MAKEFILE_DIR)/../ik-llama-cpp-fallback-build purge
+	$(info ${GREEN}I ik-llama-cpp build info:fallback${RESET})
+	CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=off -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_BMI2=off" $(MAKE) VARIANT="ik-llama-cpp-fallback-build" build-ik-llama-cpp-grpc-server
+	cp -rfv $(CURRENT_MAKEFILE_DIR)/../ik-llama-cpp-fallback-build/grpc-server ik-llama-cpp-fallback
+
+ik-llama-cpp-grpc: llama.cpp
+	cp -rf $(CURRENT_MAKEFILE_DIR)/../ik-llama-cpp $(CURRENT_MAKEFILE_DIR)/../ik-llama-cpp-grpc-build
+	$(MAKE) -C $(CURRENT_MAKEFILE_DIR)/../ik-llama-cpp-grpc-build purge
+	$(info ${GREEN}I ik-llama-cpp build info:grpc${RESET})
+	CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_RPC=ON -DGGML_AVX=off -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_BMI2=off" TARGET="--target grpc-server --target rpc-server" $(MAKE) VARIANT="ik-llama-cpp-grpc-build" build-ik-llama-cpp-grpc-server
+	cp -rfv $(CURRENT_MAKEFILE_DIR)/../ik-llama-cpp-grpc-build/grpc-server ik-llama-cpp-grpc
+
+ik-llama-cpp-rpc-server: ik-llama-cpp-grpc
+	cp -rf $(CURRENT_MAKEFILE_DIR)/../ik-llama-cpp-grpc-build/llama.cpp/build/bin/rpc-server ik-llama-cpp-rpc-server
+
+llama.cpp:
+	mkdir -p llama.cpp
+	cd llama.cpp && \
+	git init && \
+	git remote add origin $(LLAMA_REPO)  && \
+	git fetch origin && \
+	git checkout -b build $(IK_LLAMA_VERSION) && \
+	git submodule update --init --recursive --depth 1 --single-branch
+
+llama.cpp/examples/grpc-server: llama.cpp
+	mkdir -p llama.cpp/examples/grpc-server
+	bash prepare.sh
+
+rebuild:
+	bash prepare.sh
+	rm -rf grpc-server
+	$(MAKE) grpc-server
+
+package:
+	bash package.sh
+
+purge:
+	rm -rf llama.cpp/build
+	rm -rf llama.cpp/examples/grpc-server
+	rm -rf grpc-server
+
+clean: purge
+	rm -rf llama.cpp
+
+grpc-server: llama.cpp llama.cpp/examples/grpc-server
+	@echo "Building grpc-server with $(BUILD_TYPE) build type and $(CMAKE_ARGS)"
+ifneq (,$(findstring sycl,$(BUILD_TYPE)))
+	+bash -c "source $(ONEAPI_VARS); \
+	cd llama.cpp && mkdir -p build && cd build && cmake .. $(CMAKE_ARGS) && cmake --build . --config Release -j $(JOBS) $(TARGET)"
+else
+	+cd llama.cpp && mkdir -p build && cd build && cmake .. $(CMAKE_ARGS) && cmake --build . --config Release -j $(JOBS) $(TARGET)
+endif
+	cp llama.cpp/build/bin/grpc-server .

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

@@ -0,0 +1,58 @@
+#!/bin/bash
+
+# Script to copy the appropriate libraries based on architecture
+# This script is used in the final stage of the Dockerfile
+
+set -e
+
+CURDIR=$(dirname "$(realpath $0)")
+REPO_ROOT="${CURDIR}/../../.."
+
+# Create lib directory
+mkdir -p $CURDIR/package/lib
+
+cp -avrf $CURDIR/ik-llama-cpp-* $CURDIR/package/
+cp -rfv $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 $CURDIR/package/lib/libpthread.so.0
+else
+    echo "Error: Could not detect architecture"
+    exit 1
+fi
+
+# Package GPU libraries based on BUILD_TYPE
+# The GPU library packaging script will detect BUILD_TYPE and copy appropriate GPU libraries
+GPU_LIB_SCRIPT="${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/cpp/ik-llama-cpp/patches/0001-fix-missing-cstdint-include.patch

@@ -0,0 +1,10 @@
+--- a/ggml/src/iqk/iqk_common.h
++++ b/ggml/src/iqk/iqk_common.h
+@@ -9,6 +9,7 @@
+ #pragma once
+
+ #include "iqk_config.h"
++#include <cstdint>
+
+ #if defined IQK_IMPLEMENT
+

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

@@ -0,0 +1,49 @@
+#!/bin/bash
+
+## Patches
+
+## Apply patches from the `patches` directory
+if [ -d "patches" ]; then
+    for patch in $(ls patches); do
+        echo "Applying patch $patch"
+        patch -d llama.cpp/ -p1 < patches/$patch
+    done
+fi
+
+set -e
+
+cp -r CMakeLists.txt llama.cpp/examples/grpc-server/
+cp -r grpc-server.cpp llama.cpp/examples/grpc-server/
+cp -r utils.hpp llama.cpp/examples/grpc-server/
+cp -rfv llama.cpp/vendor/nlohmann/json.hpp llama.cpp/examples/grpc-server/
+
+## Copy clip/llava files for multimodal support (built as myclip library)
+cp -rfv llama.cpp/examples/llava/clip.h llama.cpp/examples/grpc-server/clip.h
+cp -rfv llama.cpp/examples/llava/clip.cpp llama.cpp/examples/grpc-server/clip.cpp
+cp -rfv llama.cpp/examples/llava/llava.cpp llama.cpp/examples/grpc-server/llava.cpp
+# Prepend llama.h include to llava.h
+echo '#include "llama.h"' > llama.cpp/examples/grpc-server/llava.h
+cat llama.cpp/examples/llava/llava.h >> llama.cpp/examples/grpc-server/llava.h
+# Copy clip-impl.h if it exists
+if [ -f llama.cpp/examples/llava/clip-impl.h ]; then
+    cp -rfv llama.cpp/examples/llava/clip-impl.h llama.cpp/examples/grpc-server/clip-impl.h
+fi
+# Copy stb_image.h
+if [ -f llama.cpp/vendor/stb/stb_image.h ]; then
+    cp -rfv llama.cpp/vendor/stb/stb_image.h llama.cpp/examples/grpc-server/stb_image.h
+elif [ -f llama.cpp/common/stb_image.h ]; then
+    cp -rfv llama.cpp/common/stb_image.h llama.cpp/examples/grpc-server/stb_image.h
+fi
+
+## Fix API compatibility in llava.cpp (llama_n_embd -> llama_model_n_embd)
+if [ -f llama.cpp/examples/grpc-server/llava.cpp ]; then
+    sed -i 's/llama_n_embd(/llama_model_n_embd(/g' llama.cpp/examples/grpc-server/llava.cpp
+fi
+
+set +e
+if grep -q "grpc-server" llama.cpp/examples/CMakeLists.txt; then
+    echo "grpc-server already added"
+else
+    echo "add_subdirectory(grpc-server)" >> llama.cpp/examples/CMakeLists.txt
+fi
+set -e

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

@@ -0,0 +1,40 @@
+#!/bin/bash
+set -ex
+
+# Get the absolute current dir where the script is located
+CURDIR=$(dirname "$(realpath $0)")
+
+cd /
+
+echo "CPU info:"
+grep -e "model\sname" /proc/cpuinfo | head -1
+grep -e "flags" /proc/cpuinfo | head -1
+
+# ik_llama.cpp requires AVX2 — default to avx2 binary
+BINARY=ik-llama-cpp-avx2
+
+if [ -e $CURDIR/ik-llama-cpp-fallback ] && ! grep -q -e "\savx2\s" /proc/cpuinfo ; then
+	echo "CPU:    AVX2   NOT found, using fallback"
+	BINARY=ik-llama-cpp-fallback
+fi
+
+# Extend ld library path with the dir where this script is located/lib
+if [ "$(uname)" == "Darwin" ]; then
+	export DYLD_LIBRARY_PATH=$CURDIR/lib:$DYLD_LIBRARY_PATH
+	#export DYLD_FALLBACK_LIBRARY_PATH=$CURDIR/lib:$DYLD_FALLBACK_LIBRARY_PATH
+else
+	export LD_LIBRARY_PATH=$CURDIR/lib:$LD_LIBRARY_PATH
+fi
+
+# If there is a lib/ld.so, use it
+if [ -f $CURDIR/lib/ld.so ]; then
+	echo "Using lib/ld.so"
+	echo "Using binary: $BINARY"
+	exec $CURDIR/lib/ld.so $CURDIR/$BINARY "$@"
+fi
+
+echo "Using binary: $BINARY"
+exec $CURDIR/$BINARY "$@"
+
+# We should never reach this point, however just in case we do, run fallback
+exec $CURDIR/ik-llama-cpp-fallback "$@"

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

@@ -0,0 +1,483 @@
+// https://github.com/ggerganov/llama.cpp/blob/master/examples/server/utils.hpp
+
+#pragma once
+
+#include <string>
+#include <vector>
+#include <set>
+#include <mutex>
+#include <condition_variable>
+#include <unordered_map>
+
+#include "json.hpp"
+
+#include "clip.h"
+
+using json = nlohmann::json;
+
+extern bool server_verbose;
+
+#ifndef SERVER_VERBOSE
+#define SERVER_VERBOSE 1
+#endif
+
+#if SERVER_VERBOSE != 1
+#define LOG_VERBOSE(MSG, ...)
+#else
+#define LOG_VERBOSE(MSG, ...)                                            \
+    do                                                                   \
+    {                                                                    \
+        if (server_verbose)                                              \
+        {                                                                \
+            server_log("VERBOSE", __func__, __LINE__, MSG, __VA_ARGS__); \
+        }                                                                \
+    } while (0)
+#endif
+
+#define LOG_ERROR(  MSG, ...) server_log("ERROR",   __func__, __LINE__, MSG, __VA_ARGS__)
+#define LOG_WARNING(MSG, ...) server_log("WARNING", __func__, __LINE__, MSG, __VA_ARGS__)
+#define LOG_INFO(   MSG, ...) server_log("INFO",    __func__, __LINE__, MSG, __VA_ARGS__)
+
+//
+// parallel
+//
+
+enum server_state {
+    SERVER_STATE_LOADING_MODEL,  // Server is starting up, model not fully loaded yet
+    SERVER_STATE_READY,          // Server is ready and model is loaded
+    SERVER_STATE_ERROR           // An error occurred, load_model failed
+};
+
+enum task_type {
+    TASK_TYPE_COMPLETION,
+    TASK_TYPE_CANCEL,
+    TASK_TYPE_NEXT_RESPONSE
+};
+
+struct task_server {
+    int id = -1; // to be filled by llama_server_queue
+    int target_id;
+    task_type type;
+    json data;
+    bool infill_mode = false;
+    bool embedding_mode = false;
+    int multitask_id = -1;
+};
+
+struct task_result {
+    int id;
+    int multitask_id = -1;
+    bool stop;
+    bool error;
+    json result_json;
+};
+
+struct task_multi {
+    int id;
+    std::set<int> subtasks_remaining{};
+    std::vector<task_result> results{};
+};
+
+// TODO: can become bool if we can't find use of more states
+enum slot_state
+{
+    IDLE,
+    PROCESSING,
+};
+
+enum slot_command
+{
+    NONE,
+    LOAD_PROMPT,
+    RELEASE,
+};
+
+struct slot_params
+{
+    bool stream       = true;
+    bool cache_prompt = false; // remember the prompt to avoid reprocessing all prompt
+
+    uint32_t seed      = -1; // RNG seed
+    int32_t  n_keep    =  0; // number of tokens to keep from initial prompt
+    int32_t  n_predict = -1; // new tokens to predict
+
+    std::vector<std::string> antiprompt;
+
+    json input_prefix;
+    json input_suffix;
+};
+
+struct slot_image
+{
+    int32_t id;
+
+    bool request_encode_image = false;
+    float * image_embedding = nullptr;
+    int32_t image_tokens = 0;
+
+    clip_image_u8 * img_data;
+
+    std::string prefix_prompt; // before of this image
+};
+
+// completion token output with probabilities
+struct completion_token_output
+{
+    struct token_prob
+    {
+        llama_token tok;
+        float prob;
+    };
+
+    std::vector<token_prob> probs;
+    llama_token tok;
+    std::string text_to_send;
+};
+
+static inline void server_log(const char *level, const char *function, int line,
+                       const char *message, const nlohmann::ordered_json &extra)
+{
+    nlohmann::ordered_json log
+    {
+        {"timestamp", time(nullptr)},
+        {"level",     level},
+        {"function",  function},
+        {"line",      line},
+        {"message",   message},
+    };
+
+    if (!extra.empty())
+    {
+        log.merge_patch(extra);
+    }
+
+    const std::string str = log.dump(-1, ' ', false, json::error_handler_t::replace);
+    printf("%.*s\n", (int)str.size(), str.data());
+    fflush(stdout);
+}
+
+//
+// server utils
+//
+
+template <typename T>
+static T json_value(const json &body, const std::string &key, const T &default_value)
+{
+    // Fallback null to default value
+    return body.contains(key) && !body.at(key).is_null()
+        ? body.value(key, default_value)
+        : default_value;
+}
+
+inline std::string format_chatml(std::vector<json> messages)
+{
+    std::ostringstream chatml_msgs;
+
+    for (auto it = messages.begin(); it != messages.end(); ++it) {
+        chatml_msgs << "<|im_start|>"
+                    << json_value(*it, "role",    std::string("user")) << '\n';
+        chatml_msgs << json_value(*it, "content", std::string(""))
+                    << "<|im_end|>\n";
+    }
+
+    chatml_msgs << "<|im_start|>assistant" << '\n';
+
+    return chatml_msgs.str();
+}
+
+//
+// work queue utils
+//
+
+struct llama_server_queue {
+    int id = 0;
+    std::mutex mutex_tasks;
+    // queues
+    std::vector<task_server> queue_tasks;
+    std::vector<task_server> queue_tasks_deferred;
+    std::vector<task_multi> queue_multitasks;
+    std::condition_variable condition_tasks;
+    // callback functions
+    std::function<void(task_server&)> callback_new_task;
+    std::function<void(task_multi&)> callback_finish_multitask;
+    std::function<void(void)> callback_all_task_finished;
+
+    // Add a new task to the end of the queue
+    int post(task_server task) {
+        std::unique_lock<std::mutex> lock(mutex_tasks);
+        if (task.id == -1) {
+            task.id = id++;
+        }
+        queue_tasks.push_back(std::move(task));
+        condition_tasks.notify_one();
+        return task.id;
+    }
+
+    // Add a new task, but defer until one slot is available
+    void defer(task_server task) {
+        std::unique_lock<std::mutex> lock(mutex_tasks);
+        queue_tasks_deferred.push_back(std::move(task));
+    }
+
+    // Get the next id for creating anew task
+    int get_new_id() {
+        std::unique_lock<std::mutex> lock(mutex_tasks);
+        return id++;
+    }
+
+    // Register function to process a new task
+    void on_new_task(std::function<void(task_server&)> callback) {
+        callback_new_task = callback;
+    }
+
+    // Register function to process a multitask
+    void on_finish_multitask(std::function<void(task_multi&)> callback) {
+        callback_finish_multitask = callback;
+    }
+
+    // Register the function to be called when the batch of tasks is finished
+    void on_all_tasks_finished(std::function<void(void)> callback) {
+        callback_all_task_finished = callback;
+    }
+
+    // Call when the state of one slot is changed
+    void notify_slot_changed() {
+        // move deferred tasks back to main loop
+        std::unique_lock<std::mutex> lock(mutex_tasks);
+        for (auto & task : queue_tasks_deferred) {
+            queue_tasks.push_back(std::move(task));
+        }
+        queue_tasks_deferred.clear();
+    }
+
+    // Start the main loop. This call is blocking
+    [[noreturn]]
+    void start_loop() {
+        while (true) {
+            // new task arrived
+            LOG_VERBOSE("have new task", {});
+            {
+                while (true)
+                {
+                    std::unique_lock<std::mutex> lock(mutex_tasks);
+                    if (queue_tasks.empty()) {
+                        lock.unlock();
+                        break;
+                    }
+                    task_server task = queue_tasks.front();
+                    queue_tasks.erase(queue_tasks.begin());
+                    lock.unlock();
+                    LOG_VERBOSE("callback_new_task", {});
+                    callback_new_task(task);
+                }
+                LOG_VERBOSE("callback_all_task_finished", {});
+                // process and update all the multitasks
+                auto queue_iterator = queue_multitasks.begin();
+                while (queue_iterator != queue_multitasks.end())
+                {
+                    if (queue_iterator->subtasks_remaining.empty())
+                    {
+                        // all subtasks done == multitask is done
+                        task_multi current_multitask = *queue_iterator;
+                        callback_finish_multitask(current_multitask);
+                        // remove this multitask
+                        queue_iterator = queue_multitasks.erase(queue_iterator);
+                    }
+                    else
+                    {
+                        ++queue_iterator;
+                    }
+                }
+                // all tasks in the current loop is finished
+                callback_all_task_finished();
+            }
+            LOG_VERBOSE("wait for new task", {});
+            // wait for new task
+            {
+                std::unique_lock<std::mutex> lock(mutex_tasks);
+                if (queue_tasks.empty()) {
+                    condition_tasks.wait(lock, [&]{
+                        return !queue_tasks.empty();
+                    });
+                }
+            }
+        }
+    }
+
+    //
+    // functions to manage multitasks
+    //
+
+    // add a multitask by specifying the id of all subtask (subtask is a task_server)
+    void add_multitask(int multitask_id, std::vector<int>& sub_ids)
+    {
+        std::lock_guard<std::mutex> lock(mutex_tasks);
+        task_multi multi;
+        multi.id = multitask_id;
+        std::copy(sub_ids.begin(), sub_ids.end(), std::inserter(multi.subtasks_remaining, multi.subtasks_remaining.end()));
+        queue_multitasks.push_back(multi);
+    }
+
+    // updatethe remaining subtasks, while appending results to multitask
+    void update_multitask(int multitask_id, int subtask_id, task_result& result)
+    {
+        std::lock_guard<std::mutex> lock(mutex_tasks);
+        for (auto& multitask : queue_multitasks)
+        {
+            if (multitask.id == multitask_id)
+            {
+                multitask.subtasks_remaining.erase(subtask_id);
+                multitask.results.push_back(result);
+            }
+        }
+    }
+};
+
+struct llama_server_response {
+    typedef std::function<void(int, int, task_result&)> callback_multitask_t;
+    callback_multitask_t callback_update_multitask;
+    // for keeping track of all tasks waiting for the result
+    std::set<int> waiting_task_ids;
+    // the main result queue
+    std::vector<task_result> queue_results;
+    std::mutex mutex_results;
+    std::condition_variable condition_results;
+
+    void add_waiting_task_id(int task_id) {
+        std::unique_lock<std::mutex> lock(mutex_results);
+        waiting_task_ids.insert(task_id);
+    }
+
+    void remove_waiting_task_id(int task_id) {
+        std::unique_lock<std::mutex> lock(mutex_results);
+        waiting_task_ids.erase(task_id);
+    }
+
+    // This function blocks the thread until there is a response for this task_id
+    task_result recv(int task_id) {
+        while (true)
+        {
+            std::unique_lock<std::mutex> lock(mutex_results);
+            condition_results.wait(lock, [&]{
+                return !queue_results.empty();
+            });
+            LOG_VERBOSE("condition_results unblock", {});
+
+            for (int i = 0; i < (int) queue_results.size(); i++)
+            {
+                if (queue_results[i].id == task_id)
+                {
+                    assert(queue_results[i].multitask_id == -1);
+                    task_result res = queue_results[i];
+                    queue_results.erase(queue_results.begin() + i);
+                    return res;
+                }
+            }
+        }
+
+        // should never reach here
+    }
+
+    // Register the function to update multitask
+    void on_multitask_update(callback_multitask_t callback) {
+        callback_update_multitask = callback;
+    }
+
+    // Send a new result to a waiting task_id
+    void send(task_result result) {
+        std::unique_lock<std::mutex> lock(mutex_results);
+        LOG_VERBOSE("send new result", {});
+        for (auto& task_id : waiting_task_ids) {
+            // LOG_TEE("waiting task id %i \n", task_id);
+            // for now, tasks that have associated parent multitasks just get erased once multitask picks up the result
+            if (result.multitask_id == task_id)
+            {
+                LOG_VERBOSE("callback_update_multitask", {});
+                callback_update_multitask(task_id, result.id, result);
+                continue;
+            }
+
+            if (result.id == task_id)
+            {
+                LOG_VERBOSE("queue_results.push_back", {});
+                queue_results.push_back(result);
+                condition_results.notify_one();
+                return;
+            }
+        }
+    }
+};
+
+//
+// base64 utils (TODO: move to common in the future)
+//
+
+static const std::string base64_chars =
+             "ABCDEFGHIJKLMNOPQRSTUVWXYZ"
+             "abcdefghijklmnopqrstuvwxyz"
+             "0123456789+/";
+
+static inline bool is_base64(uint8_t c)
+{
+    return (isalnum(c) || (c == '+') || (c == '/'));
+}
+
+static inline std::vector<uint8_t> base64_decode(const std::string & encoded_string)
+{
+    int i = 0;
+    int j = 0;
+    int in_ = 0;
+
+    int in_len = encoded_string.size();
+
+    uint8_t char_array_4[4];
+    uint8_t char_array_3[3];
+
+    std::vector<uint8_t> ret;
+
+    while (in_len-- && (encoded_string[in_] != '=') && is_base64(encoded_string[in_]))
+    {
+        char_array_4[i++] = encoded_string[in_]; in_++;
+        if (i == 4)
+        {
+            for (i = 0; i <4; i++)
+            {
+                char_array_4[i] = base64_chars.find(char_array_4[i]);
+            }
+
+            char_array_3[0] = ((char_array_4[0]      ) << 2) + ((char_array_4[1] & 0x30) >> 4);
+            char_array_3[1] = ((char_array_4[1] & 0xf) << 4) + ((char_array_4[2] & 0x3c) >> 2);
+            char_array_3[2] = ((char_array_4[2] & 0x3) << 6) +   char_array_4[3];
+
+            for (i = 0; (i < 3); i++)
+            {
+                ret.push_back(char_array_3[i]);
+            }
+            i = 0;
+        }
+    }
+
+    if (i)
+    {
+        for (j = i; j <4; j++)
+        {
+            char_array_4[j] = 0;
+        }
+
+        for (j = 0; j <4; j++)
+        {
+            char_array_4[j] = base64_chars.find(char_array_4[j]);
+        }
+
+        char_array_3[0] = ((char_array_4[0]      ) << 2) + ((char_array_4[1] & 0x30) >> 4);
+        char_array_3[1] = ((char_array_4[1] & 0xf) << 4) + ((char_array_4[2] & 0x3c) >> 2);
+        char_array_3[2] = ((char_array_4[2] & 0x3) << 6) +   char_array_4[3];
+
+        for (j = 0; (j < i - 1); j++)
+        {
+            ret.push_back(char_array_3[j]);
+        }
+    }
+
+    return ret;
+}

backend/cpp/llama-cpp/CMakeLists.txt

@@ -57,12 +57,23 @@ add_library(hw_grpc_proto
   ${hw_proto_srcs}
   ${hw_proto_hdrs} )
 
-add_executable(${TARGET} grpc-server.cpp utils.hpp json.hpp httplib.h)
+add_executable(${TARGET} grpc-server.cpp json.hpp httplib.h)
 
 target_include_directories(${TARGET} PRIVATE ../llava)
 target_include_directories(${TARGET} PRIVATE ${CMAKE_SOURCE_DIR})
 
-target_link_libraries(${TARGET} PRIVATE common llama mtmd ${CMAKE_THREAD_LIBS_INIT} absl::flags hw_grpc_proto
+# Upstream llama.cpp renamed the `common` helpers library to `llama-common`.
+# Forks that branched before the rename (e.g. llama-cpp-turboquant) still
+# expose it as `common`. Detect which one is present so the same CMakeLists
+# drives both builds — otherwise an unresolved name silently degrades to a
+# plain `-l` flag and the PUBLIC include dir (where common.h lives) is lost.
+if (TARGET llama-common)
+    set(_LLAMA_COMMON_TARGET llama-common)
+else()
+    set(_LLAMA_COMMON_TARGET common)
+endif()
+
+target_link_libraries(${TARGET} PRIVATE ${_LLAMA_COMMON_TARGET} llama mtmd ${CMAKE_THREAD_LIBS_INIT} absl::flags hw_grpc_proto
   absl::flags_parse
   gRPC::${_REFLECTION}
   gRPC::${_GRPC_GRPCPP}
@@ -70,4 +81,4 @@ target_link_libraries(${TARGET} PRIVATE common llama mtmd ${CMAKE_THREAD_LIBS_IN
 target_compile_features(${TARGET} PRIVATE cxx_std_11)
 if(TARGET BUILD_INFO)
   add_dependencies(${TARGET} BUILD_INFO)
-endif()
+endif()

backend/cpp/llama-cpp/Makefile

@@ -1,5 +1,5 @@
 
-LLAMA_VERSION?=be48528b068111304e4a0bb82c028558b5705f05
+LLAMA_VERSION?=cf8b0dbda9ac0eac30ee33f87bc6702ead1c4664
 LLAMA_REPO?=https://github.com/ggerganov/llama.cpp
 
 CMAKE_ARGS?=
@@ -7,14 +7,15 @@ BUILD_TYPE?=
 NATIVE?=false
 ONEAPI_VARS?=/opt/intel/oneapi/setvars.sh
 TARGET?=--target grpc-server
-JOBS?=$(shell nproc)
+JOBS?=$(shell nproc 2>/dev/null || sysctl -n hw.ncpu 2>/dev/null || echo 1)
+ARCH?=$(shell uname -m)
 
 # Disable Shared libs as we are linking on static gRPC and we can't mix shared and static
 CMAKE_ARGS+=-DBUILD_SHARED_LIBS=OFF -DLLAMA_CURL=OFF
 
 CURRENT_MAKEFILE_DIR := $(dir $(abspath $(lastword $(MAKEFILE_LIST))))
 ifeq ($(NATIVE),false)
-	CMAKE_ARGS+=-DGGML_NATIVE=OFF
+	CMAKE_ARGS+=-DGGML_NATIVE=OFF -DLLAMA_OPENSSL=OFF
 endif
 # If build type is cublas, then we set -DGGML_CUDA=ON to CMAKE_ARGS automatically
 ifeq ($(BUILD_TYPE),cublas)
@@ -32,10 +33,8 @@ else ifeq ($(BUILD_TYPE),hipblas)
 	ROCM_PATH ?= /opt/rocm
 	export CXX=$(ROCM_HOME)/llvm/bin/clang++
 	export CC=$(ROCM_HOME)/llvm/bin/clang
-#	GPU_TARGETS ?= gfx803,gfx900,gfx906,gfx908,gfx90a,gfx942,gfx1010,gfx1030,gfx1032,gfx1100,gfx1101,gfx1102
-#	AMDGPU_TARGETS ?= "$(GPU_TARGETS)"
-	CMAKE_ARGS+=-DGGML_HIP=ON
-#	CMAKE_ARGS+=-DGGML_HIP=ON -DAMDGPU_TARGETS="$(AMDGPU_TARGETS)" -DGPU_TARGETS="$(GPU_TARGETS)"
+	AMDGPU_TARGETS?=gfx908,gfx90a,gfx942,gfx950,gfx1030,gfx1100,gfx1101,gfx1102,gfx1151,gfx1200,gfx1201
+	CMAKE_ARGS+=-DGGML_HIP=ON -DAMDGPU_TARGETS=$(AMDGPU_TARGETS)
 else ifeq ($(BUILD_TYPE),vulkan)
 	CMAKE_ARGS+=-DGGML_VULKAN=1
 else ifeq ($(OS),Darwin)
@@ -108,21 +107,21 @@ llama-cpp-avx: llama.cpp
 	cp -rf $(CURRENT_MAKEFILE_DIR)/../llama-cpp $(CURRENT_MAKEFILE_DIR)/../llama-cpp-avx-build
 	$(MAKE) -C $(CURRENT_MAKEFILE_DIR)/../llama-cpp-avx-build purge
 	$(info ${GREEN}I llama-cpp build info:avx${RESET})
-	CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off" $(MAKE) VARIANT="llama-cpp-avx-build" build-llama-cpp-grpc-server
+	CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_BMI2=off" $(MAKE) VARIANT="llama-cpp-avx-build" build-llama-cpp-grpc-server
 	cp -rfv $(CURRENT_MAKEFILE_DIR)/../llama-cpp-avx-build/grpc-server llama-cpp-avx
 
 llama-cpp-fallback: llama.cpp
 	cp -rf $(CURRENT_MAKEFILE_DIR)/../llama-cpp $(CURRENT_MAKEFILE_DIR)/../llama-cpp-fallback-build
 	$(MAKE) -C $(CURRENT_MAKEFILE_DIR)/../llama-cpp-fallback-build purge
 	$(info ${GREEN}I llama-cpp build info:fallback${RESET})
-	CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=off -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off" $(MAKE) VARIANT="llama-cpp-fallback-build" build-llama-cpp-grpc-server
+	CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=off -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_BMI2=off" $(MAKE) VARIANT="llama-cpp-fallback-build" build-llama-cpp-grpc-server
 	cp -rfv $(CURRENT_MAKEFILE_DIR)/../llama-cpp-fallback-build/grpc-server llama-cpp-fallback
 
 llama-cpp-grpc: llama.cpp
 	cp -rf $(CURRENT_MAKEFILE_DIR)/../llama-cpp $(CURRENT_MAKEFILE_DIR)/../llama-cpp-grpc-build
 	$(MAKE) -C $(CURRENT_MAKEFILE_DIR)/../llama-cpp-grpc-build purge
 	$(info ${GREEN}I llama-cpp build info:grpc${RESET})
-	CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_RPC=ON -DGGML_AVX=off -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off" TARGET="--target grpc-server --target rpc-server" $(MAKE) VARIANT="llama-cpp-grpc-build" build-llama-cpp-grpc-server
+	CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_RPC=ON -DGGML_AVX=off -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_BMI2=off" TARGET="--target grpc-server --target rpc-server" $(MAKE) VARIANT="llama-cpp-grpc-build" build-llama-cpp-grpc-server
 	cp -rfv $(CURRENT_MAKEFILE_DIR)/../llama-cpp-grpc-build/grpc-server llama-cpp-grpc
 
 llama-cpp-rpc-server: llama-cpp-grpc
@@ -133,7 +132,7 @@ llama.cpp:
 	cd llama.cpp && \
 	git init && \
 	git remote add origin $(LLAMA_REPO)  && \
-	git fetch origin && \
+	git fetch --all --tags && \
 	git checkout -b build $(LLAMA_VERSION) && \
 	git submodule update --init --recursive --depth 1 --single-branch