fix(buun-llama-cpp): shim cudaMemcpy{To,From}Symbol + WARP_SIZE on fwht128 shuffles

Two more hipblas-only build failures in buun's fattn.cu, fixed under the
same patches/ infrastructure:

1. cudaMemcpyToSymbol / cudaMemcpyFromSymbol — buun's Q² calibration +
   TCQ codebook upload paths call the symbol variants of cudaMemcpy.
   ggml/src/ggml-cuda/vendors/hip.h aliases every other cudaMemcpy*
   name (cudaMemcpy, cudaMemcpyAsync, cudaMemcpy2DAsync, …) but the
   symbol pair was never added. 15+ "use of undeclared identifier"
   errors across fattn.cu lines 40, 54, 74-76, 94, 100-101, 371, 883,
   905, 954, 976, 1449, 1463. Add the two missing aliases alongside
   the existing memcpy block.

2. __shfl_xor_sync fwht128 calls — same 3-arg omission pattern as the
   earlier argmax top-K fix. Lines 512 (ggml_cuda_fwht128 intra-warp
   butterfly) and 536 (fwht128_store_half neighbor fetch) drop the
   width argument that hip.h:33 requires. Add WARP_SIZE.

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

.agents/adding-backends.md

@@ -43,7 +43,7 @@ If you add a new language bucket, `scripts/changed-backends.js` also needs a bra
 
 **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:2025.3.2-0-devel-ubuntu24.04"`
+- 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`

.agents/ai-coding-assistants.md

@@ -35,19 +35,33 @@ All contributions must comply with LocalAI's licensing requirements:
 
 ## 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:
+Only humans can certify the Developer Certificate of Origin (DCO). AI
+agents MUST NOT invent or guess a human identity for `Signed-off-by` —
+doing so forges the DCO certification.
 
-- Reviewing all AI-generated code
+However, when a human operator explicitly directs the AI to commit on
+their behalf, the AI is acting as a typing tool — no different from an
+editor macro or `git commit -s`. In that case the AI SHOULD add
+`Signed-off-by:` using the **configured `user.name` / `user.email`** of
+the current git repository (i.e. the operator's own identity). The
+resulting trailer is the operator's signature; they take responsibility
+for it by reviewing and pushing the commit. The AI MUST NOT use any
+other identity and MUST NOT add its own name to the sign-off.
+
+When running `git commit`, prefer `git commit --signoff` (or `-s`) so
+the trailer is emitted by git itself from the configured identity,
+rather than hand-writing it in a heredoc — this guarantees the sign-off
+matches whatever identity the operator is currently using.
+
+The human submitter remains responsible for:
+
+- Reviewing all AI-generated code before it's pushed or merged
 - 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).
+AI agents MUST NOT add `Co-Authored-By` trailers for themselves. A human
+reviewer owns the contribution; the AI's involvement is recorded via
+`Assisted-by` (see below).
 
 ## Attribution
 
@@ -84,6 +98,12 @@ Assisted-by: Claude:claude-opus-4-7 golangci-lint
 Signed-off-by: Jane Developer <jane@example.com>
 ```
 
+The `Signed-off-by` line uses Jane's own identity because Jane is the
+submitter operating the AI. If Jane asks Claude to create the commit via
+`git commit -s`, git emits that exact trailer from Jane's configured
+identity — no separate human step is needed beyond Jane reviewing the
+diff before pushing.
+
 ## Scope and Responsibility
 
 Using an AI assistant does not reduce the contributor's responsibility.

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

@@ -330,16 +330,3 @@ When adding a new endpoint:
 - [ ] Error responses use `schema.ErrorResponse` format (or `echo.NewHTTPError` with a mapped gRPC status — see the `mapBackendError` helper in `core/http/endpoints/localai/images.go`)
 - [ ] Tests cover both authenticated and unauthenticated access
 - [ ] Swagger regenerated (`make swagger`) if you changed any `@Router`/`@Tags`/`@Param` annotation
-
-## Companion: MCP admin tool surface
-
-**Required for admin endpoints.** Every new admin endpoint MUST be considered for the MCP admin tool surface — the REST API and the MCP tool catalog can drift silently otherwise, and both the LocalAI Assistant chat modality and the standalone `local-ai mcp-server` rely on `pkg/mcp/localaitools/` to mirror REST.
-
-Two outcomes are acceptable; one is not:
-
-- **Tool added.** The new endpoint is something an admin would manage conversationally (install, list, edit, toggle, upgrade). Follow the full checklist in [.agents/localai-assistant-mcp.md](localai-assistant-mcp.md): add a `LocalAIClient` interface method, implement it in both `inproc` and `httpapi`, register the tool with a `Tool*` constant, update the skill prompts, **and add the route to `toolToHTTPRoute` in `pkg/mcp/localaitools/coverage_test.go`**.
-- **Tool deliberately skipped.** The endpoint is internal/diagnostic and adding a chat path would be misleading. Document the decision in the PR description; no code action.
-- **Forgot.** This breaks the contract. The `TestToolHTTPRouteMappingComplete` test in `pkg/mcp/localaitools` is a partial guard (it checks every `Tool*` has a route mapping), but it does NOT detect new REST endpoints without a tool — that's still a process check on the PR author.
-
-**Add to the bottom of the checklist below**:
-- [ ] If admin: decided whether MCP coverage is needed; if yes, tool registered + map updated; if no, skip-reason in PR description.

.agents/ci-caching.md

@@ -1,111 +0,0 @@
-# CI Build Caching
-
-Container builds — both the root LocalAI image (`Dockerfile`) and the per-backend images (`backend/Dockerfile.*`) — share a registry-backed BuildKit cache. This file explains how that cache is laid out, what invalidates it, and how to bypass it.
-
-## Cache layout
-
-- **Cache registry**: `quay.io/go-skynet/ci-cache`
-- **One tag per matrix entry**, derived from the existing `tag-suffix`:
-  - Backend builds (`backend_build.yml`): `cache<tag-suffix>`
-    - e.g. `cache-gpu-nvidia-cuda-12-llama-cpp`, `cache-cpu-vllm`, `cache-nvidia-l4t-cuda-13-arm64-vllm`
-  - Root image builds (`image_build.yml`): `cache-localai<tag-suffix>`
-    - e.g. `cache-localai-gpu-nvidia-cuda-12`, `cache-localai-gpu-vulkan`
-- Each tag stores a multi-arch BuildKit cache manifest (`mode=max`), so every intermediate stage is re-usable, not just the final image.
-
-## Read/write semantics
-
-| Trigger | `cache-from` | `cache-to` |
-|---|---|---|
-| `push` to `master` / tag | yes | yes (`mode=max,ignore-error=true`) |
-| `pull_request` | yes | **no** |
-
-PR builds read master's warm cache but never write — this prevents PRs from polluting the shared cache with their experimental state. After merge, the master build for that matrix entry refreshes the cache.
-
-`ignore-error=true` on the write side means a transient quay push failure does not fail the build; the next master push retries.
-
-## Self-warming, no separate populator
-
-There is no cron job that pre-warms the cache. The production builds *are* the populator. The first master build of a given matrix entry pays the cold cost; subsequent same-entry master builds reuse everything that hasn't changed (apt installs, gRPC compile in `Dockerfile.{llama-cpp,ik-llama-cpp,turboquant}`, Python wheel installs, etc.).
-
-Historically there was a `generate_grpc_cache.yaml` cron that targeted a `grpc` stage in the root Dockerfile. That stage was removed in July 2025 and the cron silently failed every night for 9 months without writing anything. It was deleted along with the registry-cache rollout.
-
-## The `DEPS_REFRESH` cache-buster (Python backends)
-
-Every Python backend goes through the shared `backend/Dockerfile.python`, which ends with:
-
-```dockerfile
-ARG DEPS_REFRESH=initial
-RUN cd /${BACKEND} && PORTABLE_PYTHON=true make
-```
-
-Most Python backends ship `requirements*.txt` files that **do not pin every transitive dep** (`torch`, `transformers`, `vllm`, `diffusers`, etc. are listed without a `==` pin, or with `>=` lower bounds only). With a warm BuildKit cache, the `make` layer hashes only on Dockerfile instructions + COPYed source — not on what `pip install` resolves at runtime. So a warm cache would ship the *first* version of `vllm` ever cached and never pick up upstream releases.
-
-`DEPS_REFRESH` defends against that:
-
-- `backend_build.yml` computes `date -u +%Y-W%V` (ISO week, e.g. `2026-W17`) before each build and passes it as a build-arg.
-- The `RUN ... make` layer's BuildKit hash now includes that string, so the layer invalidates **at most once per week**, automatically picking up newer wheels.
-- Within a week, builds stay warm.
-
-This applies only to `Dockerfile.python` because:
-- Go (`Dockerfile.golang`) pins versions in `go.mod` / `go.sum`.
-- Rust (`Dockerfile.rust`) pins via `Cargo.lock`.
-- C++ backends (`Dockerfile.{llama-cpp,ik-llama-cpp,turboquant}`) clone gRPC at a pinned tag (`v1.65.0`) and llama.cpp at a pinned commit; their inputs don't drift between rebuilds.
-
-### Adjusting the cadence
-
-If you need a faster refresh (e.g. while debugging an upstream flake), bump the format to daily (`+%Y-%m-%d`) or hourly (`+%Y-%m-%d-%H`). If you need a one-shot rebuild for a specific backend without changing the schedule, append a marker to the tag-suffix in the matrix or temporarily delete that backend's cache tag in quay.
-
-## Manually evicting cache
-
-To force a fully cold build for one backend or the whole image:
-
-```bash
-# Delete a single tag (requires quay credentials with admin on the repo)
-curl -X DELETE \
-  -H "Authorization: Bearer ${QUAY_TOKEN}" \
-  https://quay.io/api/v1/repository/go-skynet/ci-cache/tag/cache-gpu-nvidia-cuda-12-vllm
-
-# List all tags
-curl -s -H "Authorization: Bearer ${QUAY_TOKEN}" \
-  "https://quay.io/api/v1/repository/go-skynet/ci-cache/tag/?limit=100" | jq '.tags[].name'
-```
-
-Eviction is rarely needed in normal operation — `DEPS_REFRESH` handles weekly drift, source changes invalidate naturally, and `mode=max` keeps the cache scoped per matrix entry so a stale tag never bleeds into a different build.
-
-## What the cache **does not** cover
-
-- The "Free Disk Space" / "Release space from worker" steps run on every job — these reclaim ~6 GB on `ubuntu-latest` runners. They are runner-state cleanup, not Docker, and BuildKit caches don't apply.
-- Intermediate artifacts of `Build and push (PR)` are not pushed anywhere — PRs only build for verification.
-- Darwin builds (see below) — macOS runners have no Docker daemon, so the registry-backed BuildKit cache cannot apply.
-
-## Darwin native caches
-
-`backend_build_darwin.yml` runs natively on `macOS-14` GitHub-hosted runners — there is no Docker, no BuildKit, no cross-job registry cache. Instead, the reusable workflow uses `actions/cache@v4` for four native caches that mirror the spirit of the Linux cache (warm by default, weekly refresh for unpinned Python deps, PRs read-only).
-
-| Cache | Path(s) | Key | Scope |
-|---|---|---|---|
-| Go modules + build | `~/go/pkg/mod`, `~/Library/Caches/go-build` | `go.sum` (managed by `actions/setup-go@v5` `cache: true`) | All darwin jobs |
-| Homebrew | `~/Library/Caches/Homebrew/downloads`, selected `/opt/homebrew/Cellar/*` | hash of `backend_build_darwin.yml` | All darwin jobs |
-| ccache (llama.cpp CMake) | `~/Library/Caches/ccache` | pinned `LLAMA_VERSION` from `backend/cpp/llama-cpp/Makefile` | `inputs.backend == 'llama-cpp'` only |
-| Python wheels (uv + pip) | `~/Library/Caches/pip`, `~/Library/Caches/uv` | `inputs.backend` + ISO week (`+%Y-W%V`) + hash of that backend's `requirements*.txt` | `inputs.lang == 'python'` only |
-
-Read/write semantics match the BuildKit cache: `actions/cache/restore` runs every time, `actions/cache/save` is gated on `github.event_name != 'pull_request'`. PRs read master's warm cache but never write back.
-
-The Python wheel cache uses the same ISO-week cache-buster as the Linux `DEPS_REFRESH` build-arg — same problem (unpinned `torch`/`mlx`/`diffusers`/`transformers` resolve to fresh wheels weekly), same ~one-cold-rebuild-per-week solution.
-
-The brew Cellar cache requires `HOMEBREW_NO_AUTO_UPDATE=1` and `HOMEBREW_NO_INSTALL_CLEANUP=1` (set as job-level env). Without those, `brew install` would mutate the very directories that were just restored, defeating the cache.
-
-For ccache, the workflow exports `CMAKE_ARGS=… -DCMAKE_C_COMPILER_LAUNCHER=ccache -DCMAKE_CXX_COMPILER_LAUNCHER=ccache` via `$GITHUB_ENV` before running `make build-darwin-go-backend`. The Makefile in `backend/cpp/llama-cpp/` already forwards `CMAKE_ARGS` through to each variant build (`fallback`, `grpc`, `rpc-server`), so no script changes are needed. The three variants share most TUs, so ccache dedupes object files across them.
-
-### Cache budget on Darwin
-
-GitHub Actions caches are limited to 10 GB per repo. Steady-state worst case: ~800 MB Go cache + ~2 GB brew Cellar + up to 2 GB ccache + ~1.5 GB × 5 python backends. If the cap is hit, prefer collapsing the per-backend Python keys into a shared `pyenv-darwin-shared-<week>` key (accepts more cross-backend churn for a smaller footprint) before reducing other caches.
-
-## Touching the cache pipeline
-
-When changing `image_build.yml`, `backend_build.yml`, or any of the `backend/Dockerfile.*` files:
-
-1. **Don't drop `DEPS_REFRESH=...` from the build-args** without a replacement strategy (lockfiles, pinned requirements). Otherwise master will silently freeze on whichever versions were cached at the time.
-2. **Keep `tag-suffix` unique per matrix entry** — it's the cache namespace. Two matrix entries sharing a tag-suffix would clobber each other's cache.
-3. **Keep `cache-to` gated on `github.event_name != 'pull_request'`** — PRs must not write.
-4. **Keep `ignore-error=true` on `cache-to`** — quay registry hiccups must not fail builds.

.agents/coding-style.md

@@ -48,8 +48,6 @@ All Go tests — including backend tests — must use [Ginkgo](https://onsi.gith
 
 Do not mix styles within a package. If you are extending tests in a package that already uses Ginkgo, keep using Ginkgo. If you find stdlib-style Go tests in the tree, treat them as tech debt to be migrated rather than as a pattern to follow.
 
-This is enforced by `golangci-lint` via the `forbidigo` linter (see `.golangci.yml`); calls like `t.Errorf` / `t.Fatalf` / `t.Run` / `t.Skip` / `t.Logf` are flagged. Run `make lint` locally before submitting; the same check runs in CI (`.github/workflows/lint.yml`).
-
 ## 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.

.agents/localai-assistant-mcp.md

@@ -1,97 +0,0 @@
-# LocalAI Assistant — admin MCP server
-
-This document is the contract for **anyone** (human or AI agent) touching LocalAI's admin REST surface, the in-process MCP server that wraps it, or the embedded skill prompts that teach the assistant how to use it. Read this before adding/removing/renaming admin endpoints, MCP tools, or skill recipes.
-
-## What this feature is
-
-`pkg/mcp/localaitools/` is a public Go package that exposes LocalAI's admin/management surface as an MCP server. It is used in two ways:
-
-1. **In-process**: when an admin opens a chat with `metadata.localai_assistant=true`, the chat handler injects the in-memory MCP server (paired `net.Pipe()` transport, no HTTP loopback) so the LLM can install models, manage backends and edit configs by chatting.
-2. **Standalone**: the `local-ai mcp-server --target=…` subcommand serves the same MCP server over stdio, talking HTTP to a remote LocalAI instance.
-
-The two modes share **all** tool definitions and skill prompts. They differ only in their `LocalAIClient` implementation (`inproc/` calls services directly; `httpapi/` calls REST).
-
-## The three things you must keep in sync
-
-When you change LocalAI's admin surface, three layers must stay aligned:
-
-1. **REST endpoint** in `core/http/endpoints/localai/*.go`.
-2. **MCP tool registration** in `pkg/mcp/localaitools/tools_*.go`, plus a method on `LocalAIClient` (in `client.go`) and implementations in both `inproc/client.go` **and** `httpapi/client.go`.
-3. **Skill prompt** under `pkg/mcp/localaitools/prompts/skills/*.md` — the markdown that teaches the LLM how to use the new tool. If the new tool fits an existing recipe, update that recipe; otherwise add a new file.
-
-If you ship a REST endpoint without (2) and (3), conversational admins won't see the feature.
-
-## Checklist for adding a new admin endpoint
-
-- [ ] REST endpoint exists in `core/http/endpoints/localai/*.go` and is gated by `auth.RequireAdmin()` in `core/http/routes/localai.go`.
-- [ ] `LocalAIClient` interface in `pkg/mcp/localaitools/client.go` has a method covering the new operation.
-- [ ] DTOs added/updated in `pkg/mcp/localaitools/dto.go` (JSON-tagged; never expose raw service types).
-- [ ] `inproc/client.go` implements the new method by calling the service directly (not via HTTP loopback).
-- [ ] `httpapi/client.go` implements the new method by calling the REST endpoint.
-- [ ] Tool registration added in the appropriate `pkg/mcp/localaitools/tools_*.go`. Mutating tools must reference safety rule 1 in the description.
-- [ ] If the tool is mutating, ensure `Options{DisableMutating: true}` skips it (mirror the pattern in `tools_models.go`).
-- [ ] Skill prompt added or updated under `pkg/mcp/localaitools/prompts/skills/`. The prompt must instruct the LLM when to call the tool, what to ask the user first, and what to do on error.
-- [ ] Tests:
-   - `pkg/mcp/localaitools/server_test.go` adds the tool name to `expectedFullCatalog` and `expectedReadOnlyCatalog` (if read-only).
-   - Tool dispatch is added to `TestEachToolDispatchesToClient`.
-   - `pkg/mcp/localaitools/httpapi/client_test.go` covers the new HTTP path.
-
-## Adding a new skill recipe (no new tool)
-
-Sometimes you want to teach the LLM a new pattern that uses existing tools. Drop a markdown file under `pkg/mcp/localaitools/prompts/skills/<verb>_<noun>.md`. The file is automatically embedded by `//go:embed` and assembled into the system prompt in lexicographic order. No Go changes needed.
-
-Conventions:
-- Filename: `<verb>_<noun>.md` (e.g. `install_chat_model.md`, `upgrade_backend.md`).
-- First line: `# Skill: <Title Case description>`.
-- Number the steps. Reference exact tool names in backticks.
-- If the skill mutates state, remind the LLM to confirm with the user.
-
-## Code conventions
-
-These rules guard against the magic-literal drift that surfaced in the first audit. Do not re-introduce bare strings.
-
-- **Tool names** always come from the `Tool*` constants in `pkg/mcp/localaitools/tools.go`. Tool registrations, the test catalog (`server_test.go`'s `expectedFullCatalog` / `expectedReadOnlyCatalog`), and dispatch tables reference the constants. The embedded skill prompts under `prompts/` keep bare strings — that's the one allowed exception, and `TestPromptsContainSafetyAnchors` enforces alignment.
-- **Toggle/pin actions** use the `modeladmin.Action` type (`pkg/mcp/localaitools` and `core/services/modeladmin`). Use `ActionEnable`/`ActionDisable`/`ActionPin`/`ActionUnpin`; never bare `"enable"`/`"pin"` strings.
-- **Capability tags** for `list_installed_models` use the `localaitools.Capability` type (`capability.go`). The `LocalAIClient.ListInstalledModels` interface takes a typed `Capability`, and the `inproc` switch only accepts canonical values (`"embed"`/`"embedding"` are not aliases — only `CapabilityEmbeddings`).
-- **HTTP error checks** in `httpapi.Client` use `errors.Is(err, ErrHTTPNotFound)`, not substring matches on `err.Error()`. The typed `*HTTPError` carries `StatusCode` and `Body`; add new sentinel errors as needed rather than re-introducing string matching.
-- **Channel sends** to `GalleryService.ModelGalleryChannel` / `BackendGalleryChannel` from inproc clients MUST select on `ctx.Done()` so a cancelled chat completion releases the goroutine. See `inproc.sendModelOp` / `sendBackendOp`.
-- **Disk writes** of model config YAML go through `modeladmin.writeFileAtomic` (temp file + `os.Rename`). `os.WriteFile` truncates on crash and corrupts the model.
-- **MCP server lifecycle**: every initialised holder MUST register `Close()` with `signals.RegisterGracefulTerminationHandler`. The standalone `mcp-server` CLI uses `signal.NotifyContext` to honour SIGINT/SIGTERM.
-
-## File map (where to look)
-
-```
-pkg/mcp/localaitools/
-  client.go              # LocalAIClient interface + DTO registry
-  dto.go                 # JSON-tagged DTOs shared by both client impls
-  server.go              # NewServer(client, opts) — registers tools
-  tools.go               # Tool* name constants (single source of truth)
-  capability.go          # Capability type + constants
-  tools_models.go        # gallery_search, install_model, import_model_uri, ...
-  tools_backends.go
-  tools_config.go
-  tools_system.go
-  tools_state.go
-  prompts.go             # //go:embed loader + SystemPrompt(opts)
-  prompts/00_role.md
-  prompts/10_safety.md   # SAFETY RULES — change with care
-  prompts/20_tools.md    # curated tool catalog with one-liners
-  prompts/skills/*.md
-  inproc/client.go       # in-process LocalAIClient (services-direct)
-  httpapi/client.go      # REST LocalAIClient (for standalone CLI / remote)
-core/http/endpoints/mcp/
-  localai_assistant.go   # process-wide holder + LocalToolExecutor
-core/cli/mcp_server.go   # local-ai mcp-server subcommand
-```
-
-## Why two clients
-
-The in-process MCP server runs inside the same LocalAI binary that serves chat. Going over HTTP loopback would (a) require minting a synthetic admin API key for the server to authenticate against itself, (b) double-marshal every tool dispatch, and (c) lose access to in-process channels (e.g. `GalleryService.ModelGalleryChannel` for streaming install progress). So in-process uses `inproc.Client`. The standalone stdio CLI talks to a *remote* LocalAI; HTTP is the only option, so it uses `httpapi.Client`. Both implement the same `LocalAIClient` interface, and the parity test in `pkg/mcp/localaitools/parity_test.go` (when present) keeps their output equivalent.
-
-## Why prompt-enforced confirmation, not code gates
-
-The user chose KISS. Every mutating tool has a safety rule (`prompts/10_safety.md` rule 1) that requires the LLM to summarise the action and wait for explicit user confirmation before calling it. There is no `plan_*`/`apply_*` two-step in code. If you add a mutating tool, do **not** add per-tool confirmation logic in Go — instead, list the new tool name in `prompts/10_safety.md` so the LLM knows it falls under the confirmation rule.
-
-## Distributed mode
-
-The in-memory MCP server runs only on the head node (where the chat handler runs). `inproc.Client` wraps services that are already distributed-aware (`GalleryService` coordinates with workers; `ListNodes` reads the NATS-populated registry). No NATS routing of MCP tools — the admin surface lives on the head, period.

.docker/apt-mirror.sh

@@ -1,39 +0,0 @@
-#!/bin/sh
-# Reconfigure Ubuntu apt sources to point at an alternate mirror.
-#
-# Used by Dockerfiles via `RUN --mount=type=bind,source=.docker/apt-mirror.sh,...`
-# and by CI workflows on the runner to mitigate outages of the default
-# archive.ubuntu.com / security.ubuntu.com / ports.ubuntu.com pool.
-#
-# Inputs (env):
-#   APT_MIRROR        Replacement for archive.ubuntu.com and security.ubuntu.com
-#                     (e.g. "http://azure.archive.ubuntu.com" or
-#                      "https://mirrors.edge.kernel.org").
-#                     Leave empty to keep upstream. The trailing "/ubuntu/..."
-#                     path is preserved by the rewrite.
-#   APT_PORTS_MIRROR  Replacement for ports.ubuntu.com (arm64/ppc64el/...).
-#                     Leave empty to keep upstream.
-#
-# Both default to empty, in which case the script is a no-op.
-
-set -e
-
-if [ -z "${APT_MIRROR}" ] && [ -z "${APT_PORTS_MIRROR}" ]; then
-    exit 0
-fi
-
-# Ubuntu 24.04 (noble) ships DEB822 sources at /etc/apt/sources.list.d/ubuntu.sources;
-# older releases use /etc/apt/sources.list. We rewrite whichever exists.
-for f in /etc/apt/sources.list.d/ubuntu.sources /etc/apt/sources.list; do
-    [ -f "$f" ] || continue
-    if [ -n "${APT_MIRROR}" ]; then
-        # Use a comma delimiter so the alternation pipe in the regex
-        # is not interpreted as the s/// separator.
-        sed -i -E "s,https?://(archive\.ubuntu\.com|security\.ubuntu\.com),${APT_MIRROR},g" "$f"
-    fi
-    if [ -n "${APT_PORTS_MIRROR}" ]; then
-        sed -i -E "s,https?://ports\.ubuntu\.com,${APT_PORTS_MIRROR},g" "$f"
-    fi
-done
-
-echo "apt-mirror: rewrote sources (APT_MIRROR='${APT_MIRROR}', APT_PORTS_MIRROR='${APT_PORTS_MIRROR}')"

.github/actions/configure-apt-mirror/action.yml

@@ -1,91 +0,0 @@
-name: 'Configure apt mirror'
-description: |
-  Reconfigure the GitHub Actions runner's Ubuntu apt sources to use an
-  alternate mirror, and emit the effective URLs as outputs so callers can
-  forward them as Docker build-args.
-
-  Two mirror profiles depending on where the runner lives, because the
-  best mirror differs by network:
-
-    * github-hosted runners run on Azure, so they default to the
-      Azure-hosted Ubuntu mirror (lowest latency, same VPC).
-    * self-hosted runners (arc-runner-set, bigger-runner, ...) typically
-      cannot route to azure.archive.ubuntu.com, so they default to the
-      kernel.org mirror, which is publicly reachable from anywhere.
-
-  Pass an empty string to either input to skip the rewrite for that
-  profile and keep upstream archive.ubuntu.com / ports.ubuntu.com.
-
-inputs:
-  github-hosted-mirror:
-    description: 'archive/security mirror URL for github-hosted runners (empty = upstream)'
-    required: false
-    default: 'http://azure.archive.ubuntu.com'
-  github-hosted-ports-mirror:
-    description: 'ports.ubuntu.com mirror URL for github-hosted runners (empty = upstream)'
-    required: false
-    default: 'http://azure.ports.ubuntu.com'
-  self-hosted-mirror:
-    description: 'archive/security mirror URL for self-hosted runners (empty = upstream)'
-    required: false
-    default: 'https://mirrors.edge.kernel.org'
-  self-hosted-ports-mirror:
-    description: 'ports.ubuntu.com mirror URL for self-hosted runners (empty = upstream)'
-    required: false
-    default: 'https://mirrors.edge.kernel.org'
-
-outputs:
-  effective-mirror:
-    description: 'The mirror URL actually applied for this runner (or empty)'
-    value: ${{ steps.pick.outputs.mirror }}
-  effective-ports-mirror:
-    description: 'The ports mirror URL actually applied for this runner (or empty)'
-    value: ${{ steps.pick.outputs.ports-mirror }}
-
-runs:
-  using: 'composite'
-  steps:
-    - name: Pick effective mirror for this runner
-      id: pick
-      shell: bash
-      env:
-        RUNNER_ENV: ${{ runner.environment }}
-        GH_MIRROR: ${{ inputs.github-hosted-mirror }}
-        GH_PORTS_MIRROR: ${{ inputs.github-hosted-ports-mirror }}
-        SH_MIRROR: ${{ inputs.self-hosted-mirror }}
-        SH_PORTS_MIRROR: ${{ inputs.self-hosted-ports-mirror }}
-      run: |
-        if [ "${RUNNER_ENV}" = "github-hosted" ]; then
-          MIRROR="${GH_MIRROR}"
-          PORTS_MIRROR="${GH_PORTS_MIRROR}"
-        else
-          MIRROR="${SH_MIRROR}"
-          PORTS_MIRROR="${SH_PORTS_MIRROR}"
-        fi
-        echo "configure-apt-mirror: runner=${RUNNER_ENV} mirror='${MIRROR}' ports-mirror='${PORTS_MIRROR}'"
-        echo "mirror=${MIRROR}" >> "$GITHUB_OUTPUT"
-        echo "ports-mirror=${PORTS_MIRROR}" >> "$GITHUB_OUTPUT"
-
-    - name: Rewrite apt sources
-      if: steps.pick.outputs.mirror != '' || steps.pick.outputs.ports-mirror != ''
-      shell: bash
-      env:
-        APT_MIRROR: ${{ steps.pick.outputs.mirror }}
-        APT_PORTS_MIRROR: ${{ steps.pick.outputs.ports-mirror }}
-      run: |
-        set -e
-        # Ubuntu 24.04 (noble) ships DEB822 sources at
-        # /etc/apt/sources.list.d/ubuntu.sources; older releases use
-        # /etc/apt/sources.list. Rewrite whichever exists.
-        for f in /etc/apt/sources.list.d/ubuntu.sources /etc/apt/sources.list; do
-          sudo test -f "$f" || continue
-          if [ -n "${APT_MIRROR}" ]; then
-            # Comma delimiter so the alternation pipe in the regex is not
-            # interpreted as the s/// separator.
-            sudo sed -i -E "s,https?://(archive\.ubuntu\.com|security\.ubuntu\.com),${APT_MIRROR},g" "$f"
-          fi
-          if [ -n "${APT_PORTS_MIRROR}" ]; then
-            sudo sed -i -E "s,https?://ports\.ubuntu\.com,${APT_PORTS_MIRROR},g" "$f"
-          fi
-        done
-        echo "Runner apt mirror configured (APT_MIRROR='${APT_MIRROR}', APT_PORTS_MIRROR='${APT_PORTS_MIRROR}')"

.github/bump_vllm_wheel.sh

@@ -1,45 +0,0 @@
-#!/bin/bash
-# Bump the cublas13 vLLM wheel pin in requirements-cublas13-after.txt.
-#
-# vLLM's PyPI wheel is built against CUDA 12 so the cublas13 build pulls a
-# cu130-flavoured wheel from vLLM's per-tag index at
-# https://wheels.vllm.ai/<TAG>/cu130/. That URL segment is itself version-locked
-# (no /latest/ alias upstream), so bumping vLLM means rewriting both the URL
-# segment and the version constraint atomically. bump_deps.sh handles git-sha
-# vars in Makefiles; this script handles the two-value rewrite specific to the
-# vLLM requirements file.
-set -xe
-REPO=$1   # vllm-project/vllm
-FILE=$2   # backend/python/vllm/requirements-cublas13-after.txt
-VAR=$3    # VLLM_VERSION (used for output file names so the workflow can read them)
-
-if [ -z "$FILE" ] || [ -z "$REPO" ] || [ -z "$VAR" ]; then
-    echo "usage: $0 <repo> <requirements-file> <var-name>" >&2
-    exit 1
-fi
-
-# /releases/latest returns the most recent non-prerelease tag.
-LATEST_TAG=$(curl -sS -H "Accept: application/vnd.github+json" \
-    "https://api.github.com/repos/$REPO/releases/latest" \
-    | python3 -c "import json,sys; print(json.load(sys.stdin)['tag_name'])")
-
-# Strip leading 'v' (vLLM tags are 'v0.20.0', the URL/version use '0.20.0').
-NEW_VERSION="${LATEST_TAG#v}"
-
-set +e
-CURRENT_VERSION=$(grep -oE '^vllm==[0-9]+\.[0-9]+\.[0-9]+' "$FILE" | head -1 | cut -d= -f3)
-set -e
-
-# sed both lines unconditionally — peter-evans/create-pull-request opens no PR
-# when the working tree is clean, so a no-op rewrite is safe.
-sed -i "$FILE" \
-    -e "s|wheels\.vllm\.ai/[^/]*/cu130|wheels.vllm.ai/$NEW_VERSION/cu130|g" \
-    -e "s|^vllm==.*|vllm==$NEW_VERSION|"
-
-if [ -z "$CURRENT_VERSION" ]; then
-    echo "Could not find vllm==X.Y.Z in $FILE."
-    exit 0
-fi
-
-echo "Changes: https://github.com/$REPO/compare/v${CURRENT_VERSION}...${LATEST_TAG}" >> "${VAR}_message.txt"
-echo "${NEW_VERSION}" >> "${VAR}_commit.txt"

.github/workflows/backend.yml

@@ -30,7 +30,7 @@ jobs:
       skip-drivers: ${{ matrix.skip-drivers }}
       context: ${{ matrix.context }}
       ubuntu-version: ${{ matrix.ubuntu-version }}
-      amdgpu-targets: ${{ matrix.amdgpu-targets || 'gfx908,gfx90a,gfx942,gfx950,gfx1030,gfx1100,gfx1101,gfx1102,gfx1151,gfx1200,gfx1201' }}
+      amdgpu-targets: ${{ matrix.amdgpu-targets }}
     secrets:
       dockerUsername: ${{ secrets.DOCKERHUB_USERNAME }}
       dockerPassword: ${{ secrets.DOCKERHUB_PASSWORD }}
@@ -141,7 +141,7 @@ jobs:
           - build-type: ''
             cuda-major-version: ""
             cuda-minor-version: ""
-            platforms: 'linux/amd64,linux/arm64'
+            platforms: 'linux/amd64'
             tag-latest: 'auto'
             tag-suffix: '-cpu-whisperx'
             runs-on: 'ubuntu-latest'
@@ -154,7 +154,7 @@ jobs:
           - build-type: ''
             cuda-major-version: ""
             cuda-minor-version: ""
-            platforms: 'linux/amd64,linux/arm64'
+            platforms: 'linux/amd64'
             tag-latest: 'auto'
             tag-suffix: '-cpu-faster-whisper'
             runs-on: 'ubuntu-latest'
@@ -399,6 +399,19 @@ jobs:
             dockerfile: "./backend/Dockerfile.turboquant"
             context: "./"
             ubuntu-version: '2404'
+          - build-type: 'cublas'
+            cuda-major-version: "12"
+            cuda-minor-version: "8"
+            platforms: 'linux/amd64'
+            tag-latest: 'auto'
+            tag-suffix: '-gpu-nvidia-cuda-12-buun-llama-cpp'
+            runs-on: 'bigger-runner'
+            base-image: "ubuntu:24.04"
+            skip-drivers: 'false'
+            backend: "buun-llama-cpp"
+            dockerfile: "./backend/Dockerfile.buun-llama-cpp"
+            context: "./"
+            ubuntu-version: '2404'
           - build-type: 'cublas'
             cuda-major-version: "12"
             cuda-minor-version: "8"
@@ -698,19 +711,6 @@ jobs:
             dockerfile: "./backend/Dockerfile.golang"
             context: "./"
             ubuntu-version: '2404'
-          - build-type: 'cublas'
-            cuda-major-version: "12"
-            cuda-minor-version: "8"
-            platforms: 'linux/amd64'
-            tag-latest: 'auto'
-            tag-suffix: '-gpu-nvidia-cuda-12-vibevoice-cpp'
-            runs-on: 'ubuntu-latest'
-            base-image: "ubuntu:24.04"
-            skip-drivers: 'false'
-            backend: "vibevoice-cpp"
-            dockerfile: "./backend/Dockerfile.golang"
-            context: "./"
-            ubuntu-version: '2404'
           - build-type: 'cublas'
             cuda-major-version: "12"
             cuda-minor-version: "8"
@@ -907,6 +907,19 @@ jobs:
             dockerfile: "./backend/Dockerfile.turboquant"
             context: "./"
             ubuntu-version: '2404'
+          - build-type: 'cublas'
+            cuda-major-version: "13"
+            cuda-minor-version: "0"
+            platforms: 'linux/amd64'
+            tag-latest: 'auto'
+            tag-suffix: '-gpu-nvidia-cuda-13-buun-llama-cpp'
+            runs-on: 'ubuntu-latest'
+            base-image: "ubuntu:24.04"
+            skip-drivers: 'false'
+            backend: "buun-llama-cpp"
+            dockerfile: "./backend/Dockerfile.buun-llama-cpp"
+            context: "./"
+            ubuntu-version: '2404'
           - build-type: 'cublas'
             cuda-major-version: "13"
             cuda-minor-version: "0"
@@ -936,29 +949,16 @@ jobs:
           - build-type: 'cublas'
             cuda-major-version: "13"
             cuda-minor-version: "0"
-            platforms: 'linux/amd64'
-            tag-latest: 'auto'
-            tag-suffix: '-gpu-nvidia-cuda-13-vllm'
-            runs-on: 'arc-runner-set'
-            base-image: "ubuntu:24.04"
+            platforms: 'linux/arm64'
             skip-drivers: 'false'
-            backend: "vllm"
-            dockerfile: "./backend/Dockerfile.python"
-            context: "./"
-            ubuntu-version: '2404'
-          - build-type: 'cublas'
-            cuda-major-version: "13"
-            cuda-minor-version: "0"
-            platforms: 'linux/amd64'
             tag-latest: 'auto'
-            tag-suffix: '-gpu-nvidia-cuda-13-vllm-omni'
-            runs-on: 'arc-runner-set'
+            tag-suffix: '-nvidia-l4t-cuda-13-arm64-buun-llama-cpp'
             base-image: "ubuntu:24.04"
-            skip-drivers: 'false'
-            backend: "vllm-omni"
-            dockerfile: "./backend/Dockerfile.python"
-            context: "./"
+            runs-on: 'ubuntu-24.04-arm'
             ubuntu-version: '2404'
+            backend: "buun-llama-cpp"
+            dockerfile: "./backend/Dockerfile.buun-llama-cpp"
+            context: "./"
           - build-type: 'cublas'
             cuda-major-version: "13"
             cuda-minor-version: "0"
@@ -1115,45 +1115,6 @@ jobs:
             backend: "diffusers"
             dockerfile: "./backend/Dockerfile.python"
             context: "./"
-          - build-type: 'l4t'
-            cuda-major-version: "13"
-            cuda-minor-version: "0"
-            platforms: 'linux/arm64'
-            tag-latest: 'auto'
-            tag-suffix: '-nvidia-l4t-cuda-13-arm64-vllm'
-            runs-on: 'ubuntu-24.04-arm'
-            base-image: "ubuntu:24.04"
-            skip-drivers: 'false'
-            ubuntu-version: '2404'
-            backend: "vllm"
-            dockerfile: "./backend/Dockerfile.python"
-            context: "./"
-          - build-type: 'l4t'
-            cuda-major-version: "13"
-            cuda-minor-version: "0"
-            platforms: 'linux/arm64'
-            tag-latest: 'auto'
-            tag-suffix: '-nvidia-l4t-cuda-13-arm64-vllm-omni'
-            runs-on: 'ubuntu-24.04-arm'
-            base-image: "ubuntu:24.04"
-            skip-drivers: 'false'
-            ubuntu-version: '2404'
-            backend: "vllm-omni"
-            dockerfile: "./backend/Dockerfile.python"
-            context: "./"
-          - build-type: 'l4t'
-            cuda-major-version: "13"
-            cuda-minor-version: "0"
-            platforms: 'linux/arm64'
-            tag-latest: 'auto'
-            tag-suffix: '-nvidia-l4t-cuda-13-arm64-sglang'
-            runs-on: 'ubuntu-24.04-arm'
-            base-image: "ubuntu:24.04"
-            skip-drivers: 'false'
-            ubuntu-version: '2404'
-            backend: "sglang"
-            dockerfile: "./backend/Dockerfile.python"
-            context: "./"
           - build-type: 'l4t'
             cuda-major-version: "13"
             cuda-minor-version: "0"
@@ -1453,19 +1414,6 @@ jobs:
             dockerfile: "./backend/Dockerfile.golang"
             context: "./"
             ubuntu-version: '2404'
-          - build-type: 'cublas'
-            cuda-major-version: "13"
-            cuda-minor-version: "0"
-            platforms: 'linux/amd64'
-            tag-latest: 'auto'
-            tag-suffix: '-gpu-nvidia-cuda-13-vibevoice-cpp'
-            runs-on: 'ubuntu-latest'
-            base-image: "ubuntu:24.04"
-            skip-drivers: 'false'
-            backend: "vibevoice-cpp"
-            dockerfile: "./backend/Dockerfile.golang"
-            context: "./"
-            ubuntu-version: '2404'
           - build-type: 'cublas'
             cuda-major-version: "13"
             cuda-minor-version: "0"
@@ -1492,19 +1440,6 @@ jobs:
             backend: "qwen3-tts-cpp"
             dockerfile: "./backend/Dockerfile.golang"
             context: "./"
-          - build-type: 'cublas'
-            cuda-major-version: "13"
-            cuda-minor-version: "0"
-            platforms: 'linux/arm64'
-            skip-drivers: 'false'
-            tag-latest: 'auto'
-            tag-suffix: '-nvidia-l4t-cuda-13-arm64-vibevoice-cpp'
-            base-image: "ubuntu:24.04"
-            ubuntu-version: '2404'
-            runs-on: 'ubuntu-24.04-arm'
-            backend: "vibevoice-cpp"
-            dockerfile: "./backend/Dockerfile.golang"
-            context: "./"
           - build-type: 'cublas'
             cuda-major-version: "13"
             cuda-minor-version: "0"
@@ -1558,6 +1493,19 @@ jobs:
             dockerfile: "./backend/Dockerfile.turboquant"
             context: "./"
             ubuntu-version: '2404'
+          - build-type: 'hipblas'
+            cuda-major-version: ""
+            cuda-minor-version: ""
+            platforms: 'linux/amd64'
+            tag-latest: 'auto'
+            tag-suffix: '-gpu-rocm-hipblas-buun-llama-cpp'
+            runs-on: 'ubuntu-latest'
+            base-image: "rocm/dev-ubuntu-24.04:7.2.1"
+            skip-drivers: 'false'
+            backend: "buun-llama-cpp"
+            dockerfile: "./backend/Dockerfile.buun-llama-cpp"
+            context: "./"
+            ubuntu-version: '2404'
           - build-type: 'hipblas'
             cuda-major-version: ""
             cuda-minor-version: ""
@@ -1775,7 +1723,7 @@ jobs:
             tag-latest: 'auto'
             tag-suffix: '-gpu-intel-rerankers'
             runs-on: 'ubuntu-latest'
-            base-image: "intel/oneapi-basekit:2025.3.2-0-devel-ubuntu24.04"
+            base-image: "intel/oneapi-basekit:2025.3.0-0-devel-ubuntu24.04"
             skip-drivers: 'false'
             backend: "rerankers"
             dockerfile: "./backend/Dockerfile.python"
@@ -1788,7 +1736,7 @@ jobs:
             tag-latest: 'auto'
             tag-suffix: '-gpu-intel-sycl-f32-llama-cpp'
             runs-on: 'ubuntu-latest'
-            base-image: "intel/oneapi-basekit:2025.3.2-0-devel-ubuntu24.04"
+            base-image: "intel/oneapi-basekit:2025.3.0-0-devel-ubuntu24.04"
             skip-drivers: 'false'
             backend: "llama-cpp"
             dockerfile: "./backend/Dockerfile.llama-cpp"
@@ -1807,6 +1755,19 @@ jobs:
             dockerfile: "./backend/Dockerfile.turboquant"
             context: "./"
             ubuntu-version: '2404'
+          - build-type: 'sycl_f32'
+            cuda-major-version: ""
+            cuda-minor-version: ""
+            platforms: 'linux/amd64'
+            tag-latest: 'auto'
+            tag-suffix: '-gpu-intel-sycl-f32-buun-llama-cpp'
+            runs-on: 'ubuntu-latest'
+            base-image: "intel/oneapi-basekit:2025.3.0-0-devel-ubuntu24.04"
+            skip-drivers: 'false'
+            backend: "buun-llama-cpp"
+            dockerfile: "./backend/Dockerfile.buun-llama-cpp"
+            context: "./"
+            ubuntu-version: '2404'
           - build-type: 'sycl_f16'
             cuda-major-version: ""
             cuda-minor-version: ""
@@ -1833,6 +1794,19 @@ jobs:
             dockerfile: "./backend/Dockerfile.turboquant"
             context: "./"
             ubuntu-version: '2404'
+          - build-type: 'sycl_f16'
+            cuda-major-version: ""
+            cuda-minor-version: ""
+            platforms: 'linux/amd64'
+            tag-latest: 'auto'
+            tag-suffix: '-gpu-intel-sycl-f16-buun-llama-cpp'
+            runs-on: 'ubuntu-latest'
+            base-image: "intel/oneapi-basekit:2025.3.0-0-devel-ubuntu24.04"
+            skip-drivers: 'false'
+            backend: "buun-llama-cpp"
+            dockerfile: "./backend/Dockerfile.buun-llama-cpp"
+            context: "./"
+            ubuntu-version: '2404'
           - build-type: 'intel'
             cuda-major-version: ""
             cuda-minor-version: ""
@@ -2238,6 +2212,19 @@ jobs:
             dockerfile: "./backend/Dockerfile.turboquant"
             context: "./"
             ubuntu-version: '2404'
+          - build-type: ''
+            cuda-major-version: ""
+            cuda-minor-version: ""
+            platforms: 'linux/amd64,linux/arm64'
+            tag-latest: 'auto'
+            tag-suffix: '-cpu-buun-llama-cpp'
+            runs-on: 'bigger-runner'
+            base-image: "ubuntu:24.04"
+            skip-drivers: 'false'
+            backend: "buun-llama-cpp"
+            dockerfile: "./backend/Dockerfile.buun-llama-cpp"
+            context: "./"
+            ubuntu-version: '2404'
           - build-type: ''
             cuda-major-version: ""
             cuda-minor-version: ""
@@ -2277,6 +2264,19 @@ jobs:
             dockerfile: "./backend/Dockerfile.turboquant"
             context: "./"
             ubuntu-version: '2204'
+          - build-type: 'cublas'
+            cuda-major-version: "12"
+            cuda-minor-version: "0"
+            platforms: 'linux/arm64'
+            skip-drivers: 'false'
+            tag-latest: 'auto'
+            tag-suffix: '-nvidia-l4t-arm64-buun-llama-cpp'
+            base-image: "nvcr.io/nvidia/l4t-jetpack:r36.4.0"
+            runs-on: 'ubuntu-24.04-arm'
+            backend: "buun-llama-cpp"
+            dockerfile: "./backend/Dockerfile.buun-llama-cpp"
+            context: "./"
+            ubuntu-version: '2204'
           - build-type: 'vulkan'
             cuda-major-version: ""
             cuda-minor-version: ""
@@ -2303,6 +2303,19 @@ jobs:
             dockerfile: "./backend/Dockerfile.turboquant"
             context: "./"
             ubuntu-version: '2404'
+          - build-type: 'vulkan'
+            cuda-major-version: ""
+            cuda-minor-version: ""
+            platforms: 'linux/amd64,linux/arm64'
+            tag-latest: 'auto'
+            tag-suffix: '-gpu-vulkan-buun-llama-cpp'
+            runs-on: 'bigger-runner'
+            base-image: "ubuntu:24.04"
+            skip-drivers: 'false'
+            backend: "buun-llama-cpp"
+            dockerfile: "./backend/Dockerfile.buun-llama-cpp"
+            context: "./"
+            ubuntu-version: '2404'
           # Stablediffusion-ggml
           - build-type: ''
             cuda-major-version: ""
@@ -2672,85 +2685,6 @@ jobs:
             dockerfile: "./backend/Dockerfile.golang"
             context: "./"
             ubuntu-version: '2404'
-          # vibevoice-cpp
-          - build-type: ''
-            cuda-major-version: ""
-            cuda-minor-version: ""
-            platforms: 'linux/amd64,linux/arm64'
-            tag-latest: 'auto'
-            tag-suffix: '-cpu-vibevoice-cpp'
-            runs-on: 'ubuntu-latest'
-            base-image: "ubuntu:24.04"
-            skip-drivers: 'false'
-            backend: "vibevoice-cpp"
-            dockerfile: "./backend/Dockerfile.golang"
-            context: "./"
-            ubuntu-version: '2404'
-          - build-type: 'sycl_f32'
-            cuda-major-version: ""
-            cuda-minor-version: ""
-            platforms: 'linux/amd64'
-            tag-latest: 'auto'
-            tag-suffix: '-gpu-intel-sycl-f32-vibevoice-cpp'
-            runs-on: 'ubuntu-latest'
-            base-image: "intel/oneapi-basekit:2025.3.0-0-devel-ubuntu24.04"
-            skip-drivers: 'false'
-            backend: "vibevoice-cpp"
-            dockerfile: "./backend/Dockerfile.golang"
-            context: "./"
-            ubuntu-version: '2404'
-          - build-type: 'sycl_f16'
-            cuda-major-version: ""
-            cuda-minor-version: ""
-            platforms: 'linux/amd64'
-            tag-latest: 'auto'
-            tag-suffix: '-gpu-intel-sycl-f16-vibevoice-cpp'
-            runs-on: 'ubuntu-latest'
-            base-image: "intel/oneapi-basekit:2025.3.0-0-devel-ubuntu24.04"
-            skip-drivers: 'false'
-            backend: "vibevoice-cpp"
-            dockerfile: "./backend/Dockerfile.golang"
-            context: "./"
-            ubuntu-version: '2404'
-          - build-type: 'vulkan'
-            cuda-major-version: ""
-            cuda-minor-version: ""
-            platforms: 'linux/amd64,linux/arm64'
-            tag-latest: 'auto'
-            tag-suffix: '-gpu-vulkan-vibevoice-cpp'
-            runs-on: 'ubuntu-latest'
-            base-image: "ubuntu:24.04"
-            skip-drivers: 'false'
-            backend: "vibevoice-cpp"
-            dockerfile: "./backend/Dockerfile.golang"
-            context: "./"
-            ubuntu-version: '2404'
-          - build-type: 'cublas'
-            cuda-major-version: "12"
-            cuda-minor-version: "0"
-            platforms: 'linux/arm64'
-            skip-drivers: 'false'
-            tag-latest: 'auto'
-            tag-suffix: '-nvidia-l4t-arm64-vibevoice-cpp'
-            base-image: "nvcr.io/nvidia/l4t-jetpack:r36.4.0"
-            runs-on: 'ubuntu-24.04-arm'
-            backend: "vibevoice-cpp"
-            dockerfile: "./backend/Dockerfile.golang"
-            context: "./"
-            ubuntu-version: '2204'
-          - build-type: 'hipblas'
-            cuda-major-version: ""
-            cuda-minor-version: ""
-            platforms: 'linux/amd64'
-            tag-latest: 'auto'
-            tag-suffix: '-gpu-rocm-hipblas-vibevoice-cpp'
-            base-image: "rocm/dev-ubuntu-24.04:6.4.4"
-            runs-on: 'ubuntu-latest'
-            skip-drivers: 'false'
-            backend: "vibevoice-cpp"
-            dockerfile: "./backend/Dockerfile.golang"
-            context: "./"
-            ubuntu-version: '2404'
           # voxtral
           - build-type: ''
             cuda-major-version: ""
@@ -3145,10 +3079,6 @@ jobs:
             tag-suffix: "-metal-darwin-arm64-qwen3-tts-cpp"
             build-type: "metal"
             lang: "go"
-          - backend: "vibevoice-cpp"
-            tag-suffix: "-metal-darwin-arm64-vibevoice-cpp"
-            build-type: "metal"
-            lang: "go"
           - backend: "voxtral"
             tag-suffix: "-metal-darwin-arm64-voxtral"
             build-type: "metal"

.github/workflows/backend_build.yml

@@ -61,7 +61,7 @@ on:
       amdgpu-targets:
         description: 'AMD GPU targets for ROCm/HIP builds'
         required: false
-        default: ''
+        default: 'gfx908,gfx90a,gfx942,gfx950,gfx1030,gfx1100,gfx1101,gfx1102,gfx1151,gfx1200,gfx1201'
         type: string
     secrets:
       dockerUsername:
@@ -80,14 +80,6 @@ jobs:
         quay_username: ${{ secrets.quayUsername }}
     steps:
 
-      - name: Checkout
-        uses: actions/checkout@v6
-        with:
-          submodules: true
-
-      - name: Configure apt mirror on runner
-        id: apt_mirror
-        uses: ./.github/actions/configure-apt-mirror
 
       - name: Free Disk Space (Ubuntu)
         if: inputs.runs-on == 'ubuntu-latest'
@@ -105,6 +97,20 @@ jobs:
           docker-images: true
           swap-storage: true
 
+      - name: Force Install GIT latest
+        run: |
+          sudo apt-get update \
+          && sudo apt-get install -y software-properties-common \
+          && sudo apt-get update \
+          && sudo add-apt-repository -y ppa:git-core/ppa \
+          && sudo apt-get update \
+          && sudo apt-get install -y git
+
+      - name: Checkout
+        uses: actions/checkout@v6
+        with:
+          submodules: true
+
       - name: Release space from worker
         if: inputs.runs-on == 'ubuntu-latest'
         run: |
@@ -202,15 +208,6 @@ jobs:
           username: ${{ secrets.quayUsername }}
           password: ${{ secrets.quayPassword }}
 
-      # Weekly cache-buster for the per-backend `make` step. Most Python
-      # backends list unpinned deps (torch, transformers, vllm, ...), so a
-      # warm cache freezes upstream versions indefinitely. Rolling this
-      # weekly forces a re-resolve of the install layer at most once per
-      # week, picking up newer wheels without a full cold rebuild.
-      - name: Compute deps refresh key
-        id: deps_refresh
-        run: echo "key=$(date -u +%Y-W%V)" >> "$GITHUB_OUTPUT"
-
       - name: Build and push
         uses: docker/build-push-action@v7
         if: github.event_name != 'pull_request'
@@ -225,13 +222,9 @@ jobs:
             BACKEND=${{ inputs.backend }}
             UBUNTU_VERSION=${{ inputs.ubuntu-version }}
             AMDGPU_TARGETS=${{ inputs.amdgpu-targets }}
-            APT_MIRROR=${{ steps.apt_mirror.outputs.effective-mirror }}
-            APT_PORTS_MIRROR=${{ steps.apt_mirror.outputs.effective-ports-mirror }}
-            DEPS_REFRESH=${{ steps.deps_refresh.outputs.key }}
           context: ${{ inputs.context }}
           file: ${{ inputs.dockerfile }}
-          cache-from: type=registry,ref=quay.io/go-skynet/ci-cache:cache${{ inputs.tag-suffix }}
-          cache-to: type=registry,ref=quay.io/go-skynet/ci-cache:cache${{ inputs.tag-suffix }},mode=max,ignore-error=true
+          cache-from: type=gha
           platforms: ${{ inputs.platforms }}
           push: ${{ github.event_name != 'pull_request' }}
           tags: ${{ steps.meta.outputs.tags }}
@@ -251,12 +244,9 @@ jobs:
             BACKEND=${{ inputs.backend }}
             UBUNTU_VERSION=${{ inputs.ubuntu-version }}
             AMDGPU_TARGETS=${{ inputs.amdgpu-targets }}
-            APT_MIRROR=${{ steps.apt_mirror.outputs.effective-mirror }}
-            APT_PORTS_MIRROR=${{ steps.apt_mirror.outputs.effective-ports-mirror }}
-            DEPS_REFRESH=${{ steps.deps_refresh.outputs.key }}
           context: ${{ inputs.context }}
           file: ${{ inputs.dockerfile }}
-          cache-from: type=registry,ref=quay.io/go-skynet/ci-cache:cache${{ inputs.tag-suffix }}
+          cache-from: type=gha
           platforms: ${{ inputs.platforms }}
           push: ${{ env.quay_username != '' }}
           tags: ${{ steps.meta_pull_request.outputs.tags }}

.github/workflows/backend_build_darwin.yml

@@ -48,13 +48,6 @@ jobs:
     strategy:
       matrix:
         go-version: ['${{ inputs.go-version }}']
-    env:
-      # Keep the brew Cellar stable across cache restores. Without these,
-      # `brew install` would auto-update brew itself and re-link formulas,
-      # mutating the very paths the cache just restored.
-      HOMEBREW_NO_AUTO_UPDATE: '1'
-      HOMEBREW_NO_INSTALL_CLEANUP: '1'
-      HOMEBREW_NO_ANALYTICS: '1'
     steps:
       - name: Clone
         uses: actions/checkout@v6
@@ -65,141 +58,21 @@ jobs:
         uses: actions/setup-go@v5
         with:
           go-version: ${{ matrix.go-version }}
-          # Caches ~/go/pkg/mod and ~/Library/Caches/go-build keyed on go.sum.
-          # Shared across every darwin matrix entry — first job in a run warms
-          # it, the rest hit warm.
-          cache: true
+          cache: false
 
       # You can test your matrix by printing the current Go version
       - name: Display Go version
         run: go version
 
-      # ---- Homebrew cache ----
-      # macOS runners have no Docker daemon, so the BuildKit registry cache used
-      # for Linux backend images (see .agents/ci-caching.md) doesn't apply here.
-      # We cache the brew downloads + Cellar entries for the formulas we install
-      # below. Read on every run, write only on master/tag pushes — same policy
-      # as the Linux registry cache.
-      - name: Restore Homebrew cache
-        id: brew-cache
-        uses: actions/cache/restore@v4
-        with:
-          path: |
-            ~/Library/Caches/Homebrew/downloads
-            /opt/homebrew/Cellar/protobuf
-            /opt/homebrew/Cellar/grpc
-            /opt/homebrew/Cellar/protoc-gen-go
-            /opt/homebrew/Cellar/protoc-gen-go-grpc
-            /opt/homebrew/Cellar/libomp
-            /opt/homebrew/Cellar/llvm
-            /opt/homebrew/Cellar/ccache
-          key: brew-${{ runner.os }}-${{ runner.arch }}-v1-${{ hashFiles('.github/workflows/backend_build_darwin.yml') }}
-
       - name: Dependencies
         run: |
-          # ccache is always installed (used by the llama-cpp variant build) so
-          # the brew cache content stays stable across every backend in the
-          # matrix — they all share one cache key.
-          brew install protobuf grpc make protoc-gen-go protoc-gen-go-grpc libomp llvm ccache
-
-      - name: Save Homebrew cache
-        if: github.event_name != 'pull_request' && steps.brew-cache.outputs.cache-hit != 'true'
-        uses: actions/cache/save@v4
-        with:
-          path: |
-            ~/Library/Caches/Homebrew/downloads
-            /opt/homebrew/Cellar/protobuf
-            /opt/homebrew/Cellar/grpc
-            /opt/homebrew/Cellar/protoc-gen-go
-            /opt/homebrew/Cellar/protoc-gen-go-grpc
-            /opt/homebrew/Cellar/libomp
-            /opt/homebrew/Cellar/llvm
-            /opt/homebrew/Cellar/ccache
-          key: brew-${{ runner.os }}-${{ runner.arch }}-v1-${{ hashFiles('.github/workflows/backend_build_darwin.yml') }}
-
-      # ---- ccache for llama.cpp CMake builds ----
-      # Three CMake variants (fallback, grpc, rpc-server) compile the same
-      # llama.cpp source tree with overlapping flags — ccache dedupes object
-      # files across them. Key on the pinned LLAMA_VERSION so a pin bump
-      # invalidates cleanly; restore-keys fall back to the latest entry for the
-      # same pin so unchanged TUs stay warm even when the cache is fresh.
-      - name: Compute llama.cpp version
-        if: inputs.backend == 'llama-cpp'
-        id: llama-version
-        run: |
-          version=$(grep '^LLAMA_VERSION' backend/cpp/llama-cpp/Makefile | head -1 | cut -d= -f2 | cut -d'?' -f1 | tr -d ' ')
-          echo "version=${version}" >> "$GITHUB_OUTPUT"
-
-      - name: Restore ccache
-        if: inputs.backend == 'llama-cpp'
-        id: ccache-cache
-        uses: actions/cache/restore@v4
-        with:
-          path: ~/Library/Caches/ccache
-          key: ccache-llama-${{ runner.arch }}-${{ steps.llama-version.outputs.version }}-${{ github.run_id }}
-          restore-keys: |
-            ccache-llama-${{ runner.arch }}-${{ steps.llama-version.outputs.version }}-
-
-      - name: Configure ccache
-        if: inputs.backend == 'llama-cpp'
-        run: |
-          mkdir -p "$HOME/Library/Caches/ccache"
-          ccache -M 2G
-          ccache -z
-          # llama-cpp-darwin.sh reads CMAKE_ARGS / CCACHE_DIR from env.
-          {
-            echo "CMAKE_ARGS=${CMAKE_ARGS:-} -DCMAKE_C_COMPILER_LAUNCHER=ccache -DCMAKE_CXX_COMPILER_LAUNCHER=ccache"
-            echo "CCACHE_DIR=$HOME/Library/Caches/ccache"
-          } >> "$GITHUB_ENV"
-
-      # ---- Python wheel cache (uv + pip) ----
-      # Mirrors the Linux DEPS_REFRESH cadence (see .agents/ci-caching.md): the
-      # ISO-week segment of the cache key forces at most one cold rebuild per
-      # backend per week, automatically picking up newer wheels for unpinned
-      # deps (torch, mlx, diffusers, …). Restore-keys fall back to the most
-      # recent build of the same backend so off-week PRs still hit warm.
-      - name: Compute weekly cache bucket
-        if: inputs.lang == 'python'
-        id: weekly
-        run: echo "bucket=$(date -u +%Y-W%V)" >> "$GITHUB_OUTPUT"
-
-      - name: Restore Python wheel cache
-        if: inputs.lang == 'python'
-        id: pyenv-cache
-        uses: actions/cache/restore@v4
-        with:
-          path: |
-            ~/Library/Caches/pip
-            ~/Library/Caches/uv
-          key: pyenv-darwin-${{ inputs.backend }}-${{ steps.weekly.outputs.bucket }}-${{ hashFiles(format('backend/python/{0}/requirements*.txt', inputs.backend)) }}
-          restore-keys: |
-            pyenv-darwin-${{ inputs.backend }}-
+          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: ccache stats
-        if: inputs.backend == 'llama-cpp'
-        run: ccache -s
-
-      - name: Save ccache
-        if: inputs.backend == 'llama-cpp' && github.event_name != 'pull_request'
-        uses: actions/cache/save@v4
-        with:
-          path: ~/Library/Caches/ccache
-          key: ccache-llama-${{ runner.arch }}-${{ steps.llama-version.outputs.version }}-${{ github.run_id }}
-
-      - name: Save Python wheel cache
-        if: inputs.lang == 'python' && github.event_name != 'pull_request' && steps.pyenv-cache.outputs.cache-hit != 'true'
-        uses: actions/cache/save@v4
-        with:
-          path: |
-            ~/Library/Caches/pip
-            ~/Library/Caches/uv
-          key: pyenv-darwin-${{ inputs.backend }}-${{ steps.weekly.outputs.bucket }}-${{ hashFiles(format('backend/python/{0}/requirements*.txt', inputs.backend)) }}
-
       - name: Upload ${{ inputs.backend }}.tar
         uses: actions/upload-artifact@v7
         with:

.github/workflows/backend_pr.yml

@@ -53,7 +53,6 @@ jobs:
       skip-drivers: ${{ matrix.skip-drivers }}
       context: ${{ matrix.context }}
       ubuntu-version: ${{ matrix.ubuntu-version }}
-      amdgpu-targets: ${{ matrix.amdgpu-targets || 'gfx908,gfx90a,gfx942,gfx950,gfx1030,gfx1100,gfx1101,gfx1102,gfx1151,gfx1200,gfx1201' }}
     secrets:
       quayUsername: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
       quayPassword: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}

.github/workflows/build-test.yaml

@@ -50,8 +50,6 @@ jobs:
         uses: actions/checkout@v6
         with:
           fetch-depth: 0
-      - name: Configure apt mirror on runner
-        uses: ./.github/actions/configure-apt-mirror
       - name: Set up Go
         uses: actions/setup-go@v5
         with:

.github/workflows/bump_deps.yaml

@@ -80,37 +80,5 @@ jobs:
           body: ${{ steps.bump.outputs.message }}
           signoff: true
 
-  bump-vllm-wheel:
-    # vLLM's cu130 wheel comes from a per-tag index URL (no /latest/ alias),
-    # so the cublas13 requirements file pins both a URL segment and a version
-    # constraint. bump_deps.sh handles git-sha-in-Makefile only — this job
-    # rewrites both values atomically when a new vLLM stable tag ships.
-    if: github.repository == 'mudler/LocalAI'
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v6
-      - name: Bump vLLM cu130 wheel pin 🔧
-        id: bump
-        run: |
-          bash .github/bump_vllm_wheel.sh vllm-project/vllm backend/python/vllm/requirements-cublas13-after.txt VLLM_VERSION
-          {
-            echo 'message<<EOF'
-            cat "VLLM_VERSION_message.txt"
-            echo EOF
-          } >> "$GITHUB_OUTPUT"
-          {
-            echo 'commit<<EOF'
-            cat "VLLM_VERSION_commit.txt"
-            echo EOF
-          } >> "$GITHUB_OUTPUT"
-          rm -rfv VLLM_VERSION_message.txt VLLM_VERSION_commit.txt
-      - name: Create Pull Request
-        uses: peter-evans/create-pull-request@v8
-        with:
-          token: ${{ secrets.UPDATE_BOT_TOKEN }}
-          push-to-fork: ci-forks/LocalAI
-          commit-message: ':arrow_up: Update vllm-project/vllm cu130 wheel'
-          title: 'chore: :arrow_up: Update vllm-project/vllm cu130 wheel to `${{ steps.bump.outputs.commit }}`'
-          branch: "update/VLLM_VERSION"
-          body: ${{ steps.bump.outputs.message }}
-          signoff: true
+
+

.github/workflows/checksum_checker.yaml

@@ -8,9 +8,15 @@ jobs:
     if: github.repository == 'mudler/LocalAI'
     runs-on: ubuntu-latest
     steps:
+      - name: Force Install GIT latest
+        run: |
+          sudo apt-get update \
+          && sudo apt-get install -y software-properties-common \
+          && sudo apt-get update \
+          && sudo add-apt-repository -y ppa:git-core/ppa \
+          && sudo apt-get update \
+          && sudo apt-get install -y git
       - uses: actions/checkout@v6
-      - name: Configure apt mirror on runner
-        uses: ./.github/actions/configure-apt-mirror
       - name: Install dependencies
         run: |
           sudo apt-get update

.github/workflows/gallery-agent.yaml

@@ -2,7 +2,7 @@ name: Gallery Agent
 on:
 
   schedule:
-    - cron: '0 */12 * * *'  # Run every 4 hours
+    - cron: '0 */3 * * *'  # Run every 4 hours
   workflow_dispatch:
     inputs:
       search_term:

.github/workflows/generate_grpc_cache.yaml

@@ -0,0 +1,96 @@
+name: 'generate and publish GRPC docker caches'
+
+on:
+  workflow_dispatch:
+
+  schedule:
+    # daily at midnight
+    - cron: '0 0 * * *'
+
+concurrency:
+  group: grpc-cache-${{ github.head_ref || github.ref }}-${{ github.repository }}
+  cancel-in-progress: true
+
+jobs:
+  generate_caches:
+    if: github.repository == 'mudler/LocalAI'
+    strategy:
+      matrix:
+        include:
+          - grpc-base-image: ubuntu:24.04
+            runs-on: 'ubuntu-latest'
+            platforms: 'linux/amd64,linux/arm64'
+    runs-on: ${{matrix.runs-on}}
+    steps:
+      - name: Release space from worker
+        if: matrix.runs-on == 'ubuntu-latest'
+        run: |
+          echo "Listing top largest packages"
+          pkgs=$(dpkg-query -Wf '${Installed-Size}\t${Package}\t${Status}\n' | awk '$NF == "installed"{print $1 "\t" $2}' | sort -nr)
+          head -n 30 <<< "${pkgs}"
+          echo
+          df -h
+          echo
+          sudo apt-get remove -y '^llvm-.*|^libllvm.*' || true
+          sudo apt-get remove --auto-remove android-sdk-platform-tools || true
+          sudo apt-get purge --auto-remove android-sdk-platform-tools || true
+          sudo rm -rf /usr/local/lib/android
+          sudo apt-get remove -y '^dotnet-.*|^aspnetcore-.*' || true
+          sudo rm -rf /usr/share/dotnet
+          sudo apt-get remove -y '^mono-.*' || true
+          sudo apt-get remove -y '^ghc-.*' || true
+          sudo apt-get remove -y '.*jdk.*|.*jre.*' || true
+          sudo apt-get remove -y 'php.*' || true
+          sudo apt-get remove -y hhvm powershell firefox monodoc-manual msbuild || true
+          sudo apt-get remove -y '^google-.*' || true
+          sudo apt-get remove -y azure-cli || true
+          sudo apt-get remove -y '^mongo.*-.*|^postgresql-.*|^mysql-.*|^mssql-.*' || true
+          sudo apt-get remove -y '^gfortran-.*' || true
+          sudo apt-get remove -y microsoft-edge-stable || true
+          sudo apt-get remove -y firefox || true
+          sudo apt-get remove -y powershell || true
+          sudo apt-get remove -y r-base-core || true
+          sudo apt-get autoremove -y
+          sudo apt-get clean
+          echo
+          echo "Listing top largest packages"
+          pkgs=$(dpkg-query -Wf '${Installed-Size}\t${Package}\t${Status}\n' | awk '$NF == "installed"{print $1 "\t" $2}' | sort -nr)
+          head -n 30 <<< "${pkgs}"
+          echo
+          sudo rm -rfv build || true
+          sudo rm -rf /usr/share/dotnet || true
+          sudo rm -rf /opt/ghc || true
+          sudo rm -rf "/usr/local/share/boost" || true
+          sudo rm -rf "$AGENT_TOOLSDIRECTORY" || true
+          df -h
+
+      - name: Set up QEMU
+        uses: docker/setup-qemu-action@master
+        with:
+          platforms: all
+
+      - name: Set up Docker Buildx
+        id: buildx
+        uses: docker/setup-buildx-action@master
+
+      - name: Checkout
+        uses: actions/checkout@v6
+
+      - name: Cache GRPC
+        uses: docker/build-push-action@v7
+        with:
+          builder: ${{ steps.buildx.outputs.name }}
+          # The build-args MUST be an EXACT match between the image cache and other workflow steps that want to use that cache.
+          # This means that even the MAKEFLAGS have to be an EXACT match.
+          # If the build-args are not an EXACT match, it will result in a cache miss, which will require GRPC to be built from scratch.
+          build-args: |
+            GRPC_BASE_IMAGE=${{ matrix.grpc-base-image }}
+            GRPC_MAKEFLAGS=--jobs=4 --output-sync=target
+            GRPC_VERSION=v1.65.0
+          context: .
+          file: ./Dockerfile
+          cache-to: type=gha,ignore-error=true
+          cache-from: type=gha
+          target: grpc
+          platforms: ${{ matrix.platforms }}
+          push: false

.github/workflows/generate_intel_image.yaml

@@ -16,7 +16,7 @@ jobs:
     strategy:
       matrix:
         include:
-          - base-image: intel/oneapi-basekit:2025.3.2-0-devel-ubuntu24.04
+          - 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}}

.github/workflows/image-pr.yml

@@ -20,6 +20,7 @@
         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:
@@ -59,13 +60,15 @@
               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:2025.3.2-0-devel-ubuntu24.04"
+              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"

.github/workflows/image.yml

@@ -25,6 +25,7 @@
         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 }}
@@ -41,11 +42,12 @@
               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
@@ -58,6 +60,7 @@
         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 }}
@@ -118,7 +121,8 @@
             - build-type: 'intel'
               platforms: 'linux/amd64'
               tag-latest: 'auto'
-              base-image: "intel/oneapi-basekit:2025.3.2-0-devel-ubuntu24.04"
+              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"
@@ -137,6 +141,7 @@
         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 }}

.github/workflows/image_build.yml

@@ -8,6 +8,11 @@ on:
         description: 'Base image'
         required: true
         type: string
+      grpc-base-image:
+        description: 'GRPC Base image, must be a compatible image with base-image'
+        required: false
+        default: ''
+        type: string
       build-type:
         description: 'Build type'
         default: ''
@@ -70,13 +75,6 @@ jobs:
     runs-on: ${{ inputs.runs-on }}
     steps:
 
-      - name: Checkout
-        uses: actions/checkout@v6
-
-      - name: Configure apt mirror on runner
-        id: apt_mirror
-        uses: ./.github/actions/configure-apt-mirror
-
       - name: Free Disk Space (Ubuntu)
         if: inputs.runs-on == 'ubuntu-latest'
         uses: jlumbroso/free-disk-space@main
@@ -92,6 +90,16 @@ jobs:
           large-packages: true
           docker-images: true
           swap-storage: true
+      - name: Force Install GIT latest
+        run: |
+          sudo apt-get update \
+          && sudo apt-get install -y software-properties-common \
+          && sudo apt-get update \
+          && sudo add-apt-repository -y ppa:git-core/ppa \
+          && sudo apt-get update \
+          && sudo apt-get install -y git
+      - name: Checkout
+        uses: actions/checkout@v6
 
       - name: Release space from worker
         if: inputs.runs-on == 'ubuntu-latest'
@@ -193,21 +201,25 @@ jobs:
         if: github.event_name != 'pull_request'
         with:
           builder: ${{ steps.buildx.outputs.name }}
+          # The build-args MUST be an EXACT match between the image cache and other workflow steps that want to use that cache.
+          # This means that even the MAKEFLAGS have to be an EXACT match.
+          # If the build-args are not an EXACT match, it will result in a cache miss, which will require GRPC to be built from scratch.
+          # This is why some build args like GRPC_VERSION and MAKEFLAGS are hardcoded
           build-args: |
             BUILD_TYPE=${{ inputs.build-type }}
             CUDA_MAJOR_VERSION=${{ inputs.cuda-major-version }}
             CUDA_MINOR_VERSION=${{ inputs.cuda-minor-version }}
             BASE_IMAGE=${{ inputs.base-image }}
+            GRPC_BASE_IMAGE=${{ inputs.grpc-base-image || inputs.base-image }}
+            GRPC_MAKEFLAGS=--jobs=4 --output-sync=target
+            GRPC_VERSION=v1.65.0
             MAKEFLAGS=${{ inputs.makeflags }}
             SKIP_DRIVERS=${{ inputs.skip-drivers }}
             UBUNTU_VERSION=${{ inputs.ubuntu-version }}
             UBUNTU_CODENAME=${{ inputs.ubuntu-codename }}
-            APT_MIRROR=${{ steps.apt_mirror.outputs.effective-mirror }}
-            APT_PORTS_MIRROR=${{ steps.apt_mirror.outputs.effective-ports-mirror }}
           context: .
           file: ./Dockerfile
-          cache-from: type=registry,ref=quay.io/go-skynet/ci-cache:cache-localai${{ inputs.tag-suffix }}
-          cache-to: type=registry,ref=quay.io/go-skynet/ci-cache:cache-localai${{ inputs.tag-suffix }},mode=max,ignore-error=true
+          cache-from: type=gha
           platforms: ${{ inputs.platforms }}
           push: ${{ github.event_name != 'pull_request' }}
           tags: ${{ steps.meta.outputs.tags }}
@@ -218,20 +230,25 @@ jobs:
         if: github.event_name == 'pull_request'
         with:
           builder: ${{ steps.buildx.outputs.name }}
+          # The build-args MUST be an EXACT match between the image cache and other workflow steps that want to use that cache.
+          # This means that even the MAKEFLAGS have to be an EXACT match.
+          # If the build-args are not an EXACT match, it will result in a cache miss, which will require GRPC to be built from scratch.
+          # This is why some build args like GRPC_VERSION and MAKEFLAGS are hardcoded
           build-args: |
             BUILD_TYPE=${{ inputs.build-type }}
             CUDA_MAJOR_VERSION=${{ inputs.cuda-major-version }}
             CUDA_MINOR_VERSION=${{ inputs.cuda-minor-version }}
             BASE_IMAGE=${{ inputs.base-image }}
+            GRPC_BASE_IMAGE=${{ inputs.grpc-base-image || inputs.base-image }}
+            GRPC_MAKEFLAGS=--jobs=4 --output-sync=target
+            GRPC_VERSION=v1.65.0
             MAKEFLAGS=${{ inputs.makeflags }}
             SKIP_DRIVERS=${{ inputs.skip-drivers }}
             UBUNTU_VERSION=${{ inputs.ubuntu-version }}
             UBUNTU_CODENAME=${{ inputs.ubuntu-codename }}
-            APT_MIRROR=${{ steps.apt_mirror.outputs.effective-mirror }}
-            APT_PORTS_MIRROR=${{ steps.apt_mirror.outputs.effective-ports-mirror }}
           context: .
           file: ./Dockerfile
-          cache-from: type=registry,ref=quay.io/go-skynet/ci-cache:cache-localai${{ inputs.tag-suffix }}
+          cache-from: type=gha
           platforms: ${{ inputs.platforms }}
           #push: true
           tags: ${{ steps.meta_pull_request.outputs.tags }}

.github/workflows/lint.yml

@@ -1,48 +0,0 @@
----
-name: 'lint'
-
-on:
-  pull_request:
-    paths-ignore:
-      - 'docs/**'
-      - 'examples/**'
-      - 'README.md'
-      - '**/*.md'
-  push:
-    branches:
-      - master
-
-concurrency:
-  group: ci-lint-${{ github.head_ref || github.ref }}-${{ github.repository }}
-  cancel-in-progress: true
-
-jobs:
-  golangci-lint:
-    runs-on: ubuntu-latest
-    steps:
-      - uses: actions/checkout@v4
-        with:
-          # Full history so golangci-lint's new-from-merge-base can reach
-          # origin/master and compute the diff against it.
-          fetch-depth: 0
-      - uses: actions/setup-go@v5
-        with:
-          go-version: '1.26.x'
-          cache: false
-      - name: install golangci-lint
-        run: |
-          curl -sSfL https://raw.githubusercontent.com/golangci/golangci-lint/master/install.sh \
-            | sh -s -- -b "$(go env GOPATH)/bin" v2.11.4
-      - name: generate grpc proto sources
-        # pkg/grpc/proto/*.go is generated, not checked in. Several packages
-        # import it, so without this step typecheck fails project-wide.
-        run: make protogen-go
-      - name: stub react-ui dist for go:embed
-        # core/http/app.go has //go:embed react-ui/dist/*; the glob needs at
-        # least one non-hidden entry to satisfy typecheck. We don't run
-        # `make react-ui` here because lint doesn't need the real bundle.
-        run: |
-          mkdir -p core/http/react-ui/dist
-          touch core/http/react-ui/dist/index.html
-      - name: lint
-        run: make lint

.github/workflows/release.yaml

@@ -49,8 +49,6 @@ jobs:
         uses: actions/checkout@v6
         with:
           fetch-depth: 0
-      - name: Configure apt mirror on runner
-        uses: ./.github/actions/configure-apt-mirror
       - name: Set up Go
         uses: actions/setup-go@v5
         with:

.github/workflows/test-extra.yml

@@ -32,11 +32,11 @@ jobs:
       llama-cpp: ${{ steps.detect.outputs.llama-cpp }}
       ik-llama-cpp: ${{ steps.detect.outputs.ik-llama-cpp }}
       turboquant: ${{ steps.detect.outputs.turboquant }}
+      buun-llama-cpp: ${{ steps.detect.outputs['buun-llama-cpp'] }}
       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 }}
-      vibevoice-cpp: ${{ steps.detect.outputs.vibevoice-cpp }}
       voxtral: ${{ steps.detect.outputs.voxtral }}
       kokoros: ${{ steps.detect.outputs.kokoros }}
       insightface: ${{ steps.detect.outputs.insightface }}
@@ -508,33 +508,6 @@ jobs:
       - name: Build llama-cpp backend image and run audio transcription gRPC e2e tests
         run: |
           make test-extra-backend-llama-cpp-transcription
-  # PR-acceptance smoke gate: always runs on every PR (no detect-changes gate, no
-  # paths filter). Pulls the pre-built master CPU llama-cpp image from quay
-  # instead of building from source, so the cost is a docker pull (~30s) plus the
-  # short Qwen3-0.6B model download. Exercises the full gRPC surface — health,
-  # load, predict, stream — plus the logprobs/logit_bias specs that moved out of
-  # core/http/app_test.go. Anything heavier or per-backend is gated to the
-  # detect-changes path-filter above.
-  tests-llama-cpp-smoke:
-    runs-on: ubuntu-latest
-    timeout-minutes: 20
-    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: Pull pre-built llama-cpp backend image
-        run: docker pull quay.io/go-skynet/local-ai-backends:master-cpu-llama-cpp
-      - name: Run e2e-backends smoke
-        env:
-          BACKEND_IMAGE: quay.io/go-skynet/local-ai-backends:master-cpu-llama-cpp
-          BACKEND_TEST_CAPS: health,load,predict,stream,logprobs,logit_bias
-        run: |
-          make test-extra-backend
   # Realtime e2e with sherpa-onnx driving VAD + STT + TTS against a mocked LLM.
   # Builds the sherpa-onnx Docker image, extracts the rootfs so the e2e suite
   # can discover the backend binary + shared libs, downloads the three model
@@ -641,6 +614,30 @@ jobs:
       - name: Build turboquant backend image and run gRPC e2e tests
         run: |
           make test-extra-backend-turboquant
+  tests-buun-llama-cpp-grpc:
+    needs: detect-changes
+    if: needs.detect-changes.outputs['buun-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'
+      # Exercises the buun-llama-cpp (fork-of-a-fork) backend with the
+      # fork-specific TurboQuant/TCQ KV-cache types. BACKEND_TEST_CACHE_TYPE_V
+      # is set to turbo3 so the test round-trips through the fork's KV
+      # allow-list — picking a stock llama.cpp type would only re-test the
+      # shared code path. DFlash speculative decoding is not exercised here
+      # because the one known public target/drafter pair (Qwen3.5-27B) is too
+      # large for CI.
+      - name: Build buun-llama-cpp backend image and run gRPC e2e tests
+        run: |
+          make test-extra-backend-buun-llama-cpp
   # tests-vllm-grpc is currently disabled in CI.
   #
   # The prebuilt vllm CPU wheel is compiled with AVX-512 VNNI/BF16
@@ -793,97 +790,6 @@ jobs:
       - name: Test qwen3-tts-cpp
         run: |
           make --jobs=5 --output-sync=target -C backend/go/qwen3-tts-cpp test
-  # Per-backend smoke for vibevoice-cpp: builds the .so + Go binary and
-  # runs `make -C backend/go/vibevoice-cpp test`. test.sh auto-downloads
-  # the published mudler/vibevoice.cpp-models bundle (TTS Q8_0 + ASR Q4_K
-  # + tokenizer + voice) and runs the closed-loop TTS → ASR Go test.
-  tests-vibevoice-cpp:
-    needs: detect-changes
-    if: needs.detect-changes.outputs.vibevoice-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: 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: |
-          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 vibevoice-cpp
-        run: |
-          make --jobs=5 --output-sync=target -C backend/go/vibevoice-cpp
-      - name: Test vibevoice-cpp
-        run: |
-          make --jobs=5 --output-sync=target -C backend/go/vibevoice-cpp test
-  # End-to-end TTS via the e2e-backends gRPC harness. Builds the
-  # vibevoice-cpp Docker image and drives Backend/TTS against it with a
-  # real LocalAI gRPC client.
-  tests-vibevoice-cpp-grpc-tts:
-    needs: detect-changes
-    if: needs.detect-changes.outputs.vibevoice-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 vibevoice-cpp backend image and run TTS gRPC e2e tests
-        run: |
-          make test-extra-backend-vibevoice-cpp-tts
-  # End-to-end transcription via the e2e-backends gRPC harness. The
-  # vibevoice ASR is a 7B-param model (Q4_K weights ~10 GB on disk)
-  # and the JFK 30 s decode is too heavy for a free 4-core
-  # ubuntu-latest pool runner - two CI attempts got SIGTERM'd during
-  # LoadModel, before the test could even progress. Use the
-  # self-hosted 'bigger-runner' label (same one the GPU image builds
-  # in backend.yml use) and the documented dotnet/ghc/android cache
-  # purge to clear ~10-20 GB of headroom for the model + Docker
-  # image + working dir.
-  tests-vibevoice-cpp-grpc-transcription:
-    needs: detect-changes
-    if: needs.detect-changes.outputs.vibevoice-cpp == 'true' || needs.detect-changes.outputs.run-all == 'true'
-    runs-on: bigger-runner
-    timeout-minutes: 150
-    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 vibevoice-cpp backend image and run ASR gRPC e2e tests
-        run: |
-          make test-extra-backend-vibevoice-cpp-transcription
   tests-voxtral:
     needs: detect-changes
     if: needs.detect-changes.outputs.voxtral == 'true' || needs.detect-changes.outputs.run-all == 'true'

.github/workflows/test.yml

@@ -3,18 +3,15 @@ name: 'tests'
 
 on:
   pull_request:
-    paths-ignore:
-      - 'docs/**'
-      - 'examples/**'
-      - 'README.md'
-      - '**/*.md'
-      - 'backend/**'
   push:
     branches:
       - master
     tags:
       - '*'
 
+env:
+  GRPC_VERSION: v1.65.0
+
 concurrency:
   group: ci-tests-${{ github.head_ref || github.ref }}-${{ github.repository }}
   cancel-in-progress: true
@@ -103,9 +100,73 @@ jobs:
           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="$PATH:/root/go/bin" make --jobs 5 --output-sync=target test
+          TRANSFORMER_BACKEND=$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: ${{ failure() }}
+        uses: mxschmitt/action-tmate@v3.23
+        with:
+          detached: true
+          connect-timeout-seconds: 180
+          limit-access-to-actor: true
+
+  tests-e2e-container:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Release space from worker
+        run: |
+          echo "Listing top largest packages"
+          pkgs=$(dpkg-query -Wf '${Installed-Size}\t${Package}\t${Status}\n' | awk '$NF == "installed"{print $1 "\t" $2}' | sort -nr)
+          head -n 30 <<< "${pkgs}"
+          echo
+          df -h
+          echo
+          sudo apt-get remove -y '^llvm-.*|^libllvm.*' || true
+          sudo apt-get remove --auto-remove android-sdk-platform-tools || true
+          sudo apt-get purge --auto-remove android-sdk-platform-tools || true
+          sudo rm -rf /usr/local/lib/android
+          sudo apt-get remove -y '^dotnet-.*|^aspnetcore-.*' || true
+          sudo rm -rf /usr/share/dotnet
+          sudo apt-get remove -y '^mono-.*' || true
+          sudo apt-get remove -y '^ghc-.*' || true
+          sudo apt-get remove -y '.*jdk.*|.*jre.*' || true
+          sudo apt-get remove -y 'php.*' || true
+          sudo apt-get remove -y hhvm powershell firefox monodoc-manual msbuild || true
+          sudo apt-get remove -y '^google-.*' || true
+          sudo apt-get remove -y azure-cli || true
+          sudo apt-get remove -y '^mongo.*-.*|^postgresql-.*|^mysql-.*|^mssql-.*' || true
+          sudo apt-get remove -y '^gfortran-.*' || true
+          sudo apt-get autoremove -y
+          sudo apt-get clean
+          echo
+          echo "Listing top largest packages"
+          pkgs=$(dpkg-query -Wf '${Installed-Size}\t${Package}\t${Status}\n' | awk '$NF == "installed"{print $1 "\t" $2}' | sort -nr)
+          head -n 30 <<< "${pkgs}"
+          echo
+          sudo rm -rfv build || true
+          df -h
+      - name: Clone
+        uses: actions/checkout@v6
+        with:
+          submodules: true
+      - name: 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: 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-e2e e2e-aio
       - name: Setup tmate session if tests fail
         if: ${{ failure() }}
         uses: mxschmitt/action-tmate@v3.23
@@ -142,6 +203,10 @@ jobs:
           node-version: '22'
       - name: Build React UI
         run: make react-ui
+      - name: Build llama-cpp-darwin
+        run: |
+          make protogen-go
+          make backends/llama-cpp-darwin
       - name: Test
         run: |
           export C_INCLUDE_PATH=/usr/local/include

.github/workflows/tests-aio.yml

@@ -1,86 +0,0 @@
----
-name: 'tests-aio'
-
-# Runs the all-in-one (AIO) Docker image with real backends + real models.
-# Heavy: builds llama-cpp/whisper/piper/silero-vad/stablediffusion-ggml/local-store
-# and exercises end-to-end inference inside the container. Moved out of test.yml
-# (which used to run on every PR) so PR CI no longer pays this cost.
-#
-# Triggers:
-#   - schedule (nightly @ 04:00 UTC) — catches packaging/image regressions within 24h
-#   - workflow_dispatch — manual run on-demand
-#   - push to master/tags — sanity check after merge / before release
-
-on:
-  schedule:
-    - cron: '0 4 * * *'
-  workflow_dispatch:
-  push:
-    branches:
-      - master
-    tags:
-      - '*'
-
-concurrency:
-  group: ci-tests-aio-${{ github.head_ref || github.ref }}-${{ github.repository }}
-  cancel-in-progress: true
-
-jobs:
-  tests-aio:
-    runs-on: ubuntu-latest
-    steps:
-      - name: Release space from worker
-        run: |
-          echo "Listing top largest packages"
-          pkgs=$(dpkg-query -Wf '${Installed-Size}\t${Package}\t${Status}\n' | awk '$NF == "installed"{print $1 "\t" $2}' | sort -nr)
-          head -n 30 <<< "${pkgs}"
-          echo
-          df -h
-          echo
-          sudo apt-get remove -y '^llvm-.*|^libllvm.*' || true
-          sudo apt-get remove --auto-remove android-sdk-platform-tools || true
-          sudo apt-get purge --auto-remove android-sdk-platform-tools || true
-          sudo rm -rf /usr/local/lib/android
-          sudo apt-get remove -y '^dotnet-.*|^aspnetcore-.*' || true
-          sudo rm -rf /usr/share/dotnet
-          sudo apt-get remove -y '^mono-.*' || true
-          sudo apt-get remove -y '^ghc-.*' || true
-          sudo apt-get remove -y '.*jdk.*|.*jre.*' || true
-          sudo apt-get remove -y 'php.*' || true
-          sudo apt-get remove -y hhvm powershell firefox monodoc-manual msbuild || true
-          sudo apt-get remove -y '^google-.*' || true
-          sudo apt-get remove -y azure-cli || true
-          sudo apt-get remove -y '^mongo.*-.*|^postgresql-.*|^mysql-.*|^mssql-.*' || true
-          sudo apt-get remove -y '^gfortran-.*' || true
-          sudo apt-get autoremove -y
-          sudo apt-get clean
-          echo
-          echo "Listing top largest packages"
-          pkgs=$(dpkg-query -Wf '${Installed-Size}\t${Package}\t${Status}\n' | awk '$NF == "installed"{print $1 "\t" $2}' | sort -nr)
-          head -n 30 <<< "${pkgs}"
-          echo
-          sudo rm -rfv build || true
-          df -h
-      - name: Clone
-        uses: actions/checkout@v6
-        with:
-          submodules: true
-      - name: 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: 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-e2e e2e-aio
-      - 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-e2e.yml

@@ -3,12 +3,6 @@ name: 'E2E Backend Tests'
 
 on:
   pull_request:
-    paths-ignore:
-      - 'docs/**'
-      - 'examples/**'
-      - 'README.md'
-      - '**/*.md'
-      - 'backend/**'
   push:
     branches:
       - master
@@ -30,8 +24,6 @@ jobs:
         uses: actions/checkout@v6
         with:
           submodules: true
-      - name: Configure apt mirror on runner
-        uses: ./.github/actions/configure-apt-mirror
       - name: Setup Go ${{ matrix.go-version }}
         uses: actions/setup-go@v5
         with:

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

@@ -26,8 +26,6 @@ jobs:
         uses: actions/checkout@v6
         with:
           submodules: true
-      - name: Configure apt mirror on runner
-        uses: ./.github/actions/configure-apt-mirror
       - name: Setup Go ${{ matrix.go-version }}
         uses: actions/setup-go@v5
         with:

.github/workflows/update_swagger.yaml

@@ -11,8 +11,6 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v6
-      - name: Configure apt mirror on runner
-        uses: ./.github/actions/configure-apt-mirror
       - uses: actions/setup-go@v5
         with:
           go-version: 'stable'

.golangci.yml

@@ -1,53 +0,0 @@
-version: "2"
-
-# Only issues introduced relative to master are reported. Pre-existing issues
-# in the codebase do not fail the lint job; they're treated as a baseline that
-# can be cleaned up incrementally. New code (added lines on a branch) is held
-# to the full linter set. Locally, `make lint-all` overrides this and reports
-# every issue.
-issues:
-  # origin/master because in shallow CI checkouts only the remote-tracking
-  # branch exists; a bare 'master' ref isn't reachable locally.
-  new-from-merge-base: origin/master
-
-linters:
-  default: standard
-  # staticcheck is noisy on this codebase (mostly QF style suggestions like
-  # "could use tagged switch" or "unnecessary fmt.Sprintf"). Re-enable
-  # selectively if a high-signal subset is identified.
-  disable:
-    - staticcheck
-  enable:
-    - forbidigo
-  settings:
-    forbidigo:
-      forbid:
-        - pattern: '^t\.Errorf$'
-          msg: 'LocalAI tests must use Ginkgo/Gomega; use Expect(...).To(...) instead of t.Errorf. See .agents/coding-style.md.'
-        - pattern: '^t\.Error$'
-          msg: 'LocalAI tests must use Ginkgo/Gomega; use Expect(...).To(...) instead of t.Error. See .agents/coding-style.md.'
-        - pattern: '^t\.Fatalf$'
-          msg: 'LocalAI tests must use Ginkgo/Gomega; use Expect(...).To(Succeed()) / Fail(...) instead of t.Fatalf. See .agents/coding-style.md.'
-        - pattern: '^t\.Fatal$'
-          msg: 'LocalAI tests must use Ginkgo/Gomega; use Expect(...).To(Succeed()) / Fail(...) instead of t.Fatal. See .agents/coding-style.md.'
-        - pattern: '^t\.Run$'
-          msg: 'LocalAI tests must use Ginkgo/Gomega; use Describe/Context/It instead of t.Run. See .agents/coding-style.md.'
-        - pattern: '^t\.Skip$'
-          msg: 'LocalAI tests must use Ginkgo/Gomega; use Skip(...) instead of t.Skip. See .agents/coding-style.md.'
-        - pattern: '^t\.Skipf$'
-          msg: 'LocalAI tests must use Ginkgo/Gomega; use Skip(...) instead of t.Skipf. See .agents/coding-style.md.'
-        - pattern: '^t\.SkipNow$'
-          msg: 'LocalAI tests must use Ginkgo/Gomega; use Skip(...) instead of t.SkipNow. See .agents/coding-style.md.'
-        - pattern: '^t\.Logf$'
-          msg: 'LocalAI tests must use Ginkgo/Gomega; use GinkgoWriter / fmt.Fprintf(GinkgoWriter, ...) instead of t.Logf. See .agents/coding-style.md.'
-        - pattern: '^t\.Log$'
-          msg: 'LocalAI tests must use Ginkgo/Gomega; use GinkgoWriter / fmt.Fprintln(GinkgoWriter, ...) instead of t.Log. See .agents/coding-style.md.'
-        - pattern: '^t\.Fail$'
-          msg: 'LocalAI tests must use Ginkgo/Gomega; use Fail(...) instead of t.Fail. See .agents/coding-style.md.'
-        - pattern: '^t\.FailNow$'
-          msg: 'LocalAI tests must use Ginkgo/Gomega; use Fail(...) instead of t.FailNow. See .agents/coding-style.md.'
-  exclusions:
-    paths:
-      # Upstream whisper.cpp source tree fetched by the whisper backend Makefile.
-      - 'backend/go/whisper/sources'
-      - 'docs/'

AGENTS.md

@@ -19,7 +19,6 @@ LocalAI follows the Linux kernel project's [guidelines for AI coding assistants]
 |------|-------------|
 | [.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/ci-caching.md](.agents/ci-caching.md) | CI build cache layout (registry-backed BuildKit cache on quay.io/go-skynet/ci-cache), `DEPS_REFRESH` weekly cache-buster for unpinned Python deps, manual eviction |
 | [.agents/adding-backends.md](.agents/adding-backends.md) | Adding a new backend (Python, Go, or C++) — full step-by-step checklist, including importer integration (the `/import-model` dropdown is server-driven from `GET /backends/known`) |
 | [.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 |
@@ -28,7 +27,6 @@ LocalAI follows the Linux kernel project's [guidelines for AI coding assistants]
 | [.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 |
-| [.agents/localai-assistant-mcp.md](.agents/localai-assistant-mcp.md) | LocalAI Assistant chat modality — adding admin tools to the in-process MCP server, editing skill prompts, keeping REST + MCP + skills in sync |
 
 ## Quick Reference
 
@@ -37,6 +35,5 @@ LocalAI follows the Linux kernel project's [guidelines for AI coding assistants]
 - **Comments**: Explain *why*, not *what*
 - **Docs**: Update `docs/content/` when adding features or changing config
 - **New API endpoints**: LocalAI advertises its capability surface in several independent places — swagger `@Tags`, `/api/instructions` registry, auth `RouteFeatureRegistry`, React UI `capabilities.js`, docs. Read [.agents/api-endpoints-and-auth.md](.agents/api-endpoints-and-auth.md) and follow its checklist — missing any surface means clients, admins, and the UI won't know the endpoint exists.
-- **Admin endpoints → MCP tool**: every admin endpoint that an admin would manage conversationally (install/list/edit/toggle/upgrade) MUST also be exposed as an MCP tool in `pkg/mcp/localaitools/`. The LocalAI Assistant chat modality and the standalone `local-ai mcp-server` consume that package; drift between REST and MCP is a real risk. Read [.agents/localai-assistant-mcp.md](.agents/localai-assistant-mcp.md) — the `TestToolHTTPRouteMappingComplete` test fails until you wire the new tool and update the route map.
 - **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

Dockerfile

@@ -1,20 +1,13 @@
 ARG BASE_IMAGE=ubuntu:24.04
+ARG GRPC_BASE_IMAGE=${BASE_IMAGE}
 ARG INTEL_BASE_IMAGE=${BASE_IMAGE}
 ARG UBUNTU_CODENAME=noble
-# Optional alternate Ubuntu apt mirror(s). Empty = use upstream.
-# See .docker/apt-mirror.sh for accepted values.
-ARG APT_MIRROR=""
-ARG APT_PORTS_MIRROR=""
 
 FROM ${BASE_IMAGE} AS requirements
 
-ARG APT_MIRROR
-ARG APT_PORTS_MIRROR
 ENV DEBIAN_FRONTEND=noninteractive
 
-RUN --mount=type=bind,source=.docker/apt-mirror.sh,target=/usr/local/sbin/apt-mirror \
-    APT_MIRROR="${APT_MIRROR}" APT_PORTS_MIRROR="${APT_PORTS_MIRROR}" sh /usr/local/sbin/apt-mirror && \
-    apt-get update && \
+RUN apt-get update && \
     apt-get install -y --no-install-recommends \
         ca-certificates curl wget espeak-ng libgomp1 \
         ffmpeg libopenblas0 libopenblas-dev libopus0 sox && \
@@ -156,7 +149,6 @@ RUN if [ "${BUILD_TYPE}" = "hipblas" ] && [ "${SKIP_DRIVERS}" = "false" ]; then
         apt-get update && \
         apt-get install -y --no-install-recommends \
             hipblas-dev \
-            hipblaslt-dev \
             rocblas-dev && \
         apt-get clean && \
         rm -rf /var/lib/apt/lists/* && \
@@ -248,14 +240,10 @@ WORKDIR /build
 # This is a temporary workaround until Intel fixes their repository
 FROM ${INTEL_BASE_IMAGE} AS intel
 ARG UBUNTU_CODENAME=noble
-ARG APT_MIRROR
-ARG APT_PORTS_MIRROR
 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 ${UBUNTU_CODENAME}/lts/2350 unified" > /etc/apt/sources.list.d/intel-graphics.list
-RUN --mount=type=bind,source=.docker/apt-mirror.sh,target=/usr/local/sbin/apt-mirror \
-    APT_MIRROR="${APT_MIRROR}" APT_PORTS_MIRROR="${APT_PORTS_MIRROR}" sh /usr/local/sbin/apt-mirror && \
-    apt-get update && \
+RUN apt-get update && \
     apt-get install -y --no-install-recommends \
         intel-oneapi-runtime-libs && \
     apt-get clean && \

Makefile

@@ -1,5 +1,5 @@
 # Disable parallel execution for backend builds
-.NOTPARALLEL: backends/diffusers backends/llama-cpp backends/turboquant backends/outetts backends/piper backends/stablediffusion-ggml backends/whisper backends/faster-whisper backends/silero-vad backends/local-store backends/huggingface backends/rfdetr backends/insightface backends/speaker-recognition backends/kitten-tts backends/kokoro backends/chatterbox backends/llama-cpp-darwin backends/neutts build-darwin-python-backend build-darwin-go-backend backends/mlx backends/diffuser-darwin backends/mlx-vlm backends/mlx-audio backends/mlx-distributed backends/stablediffusion-ggml-darwin backends/vllm backends/vllm-omni backends/sglang backends/moonshine backends/pocket-tts backends/qwen-tts backends/faster-qwen3-tts backends/qwen-asr backends/nemo backends/voxcpm backends/whisperx backends/ace-step backends/acestep-cpp backends/fish-speech backends/voxtral backends/opus backends/trl backends/llama-cpp-quantization backends/kokoros backends/sam3-cpp backends/qwen3-tts-cpp backends/vibevoice-cpp backends/tinygrad backends/sherpa-onnx
+.NOTPARALLEL: backends/diffusers backends/llama-cpp backends/turboquant backends/buun-llama-cpp backends/outetts backends/piper backends/stablediffusion-ggml backends/whisper backends/faster-whisper backends/silero-vad backends/local-store backends/huggingface backends/rfdetr backends/insightface backends/speaker-recognition backends/kitten-tts backends/kokoro backends/chatterbox backends/llama-cpp-darwin backends/neutts build-darwin-python-backend build-darwin-go-backend backends/mlx backends/diffuser-darwin backends/mlx-vlm backends/mlx-audio backends/mlx-distributed backends/stablediffusion-ggml-darwin backends/vllm backends/vllm-omni backends/sglang backends/moonshine backends/pocket-tts backends/qwen-tts backends/faster-qwen3-tts backends/qwen-asr backends/nemo backends/voxcpm backends/whisperx backends/ace-step backends/acestep-cpp backends/fish-speech backends/voxtral backends/opus backends/trl backends/llama-cpp-quantization backends/kokoros backends/sam3-cpp backends/qwen3-tts-cpp backends/tinygrad backends/sherpa-onnx
 
 GOCMD=go
 GOTEST=$(GOCMD) test
@@ -10,13 +10,6 @@ LAUNCHER_BINARY_NAME=local-ai-launcher
 UBUNTU_VERSION?=2404
 UBUNTU_CODENAME?=noble
 
-# Optional Ubuntu apt mirror overrides forwarded to docker builds.
-# Empty = use upstream archive.ubuntu.com / security.ubuntu.com / ports.ubuntu.com.
-# Set e.g. APT_MIRROR=http://azure.archive.ubuntu.com to route apt traffic
-# during outages of the default Ubuntu pool.
-APT_MIRROR?=
-APT_PORTS_MIRROR?=
-
 GORELEASER?=
 
 export BUILD_TYPE?=
@@ -72,7 +65,7 @@ endif
 TEST_PATHS?=./api/... ./pkg/... ./core/...
 
 
-.PHONY: all test build vendor lint lint-all
+.PHONY: all test build vendor
 
 all: help
 
@@ -92,7 +85,6 @@ clean: ## Remove build related file
 clean-tests:
 	rm -rf test-models
 	rm -rf test-dir
-	rm -f tests/e2e/mock-backend/mock-backend
 
 ## Install Go tools
 install-go-tools:
@@ -151,56 +143,32 @@ osx-signed: build
 run: ## run local-ai
 	CGO_LDFLAGS="$(CGO_LDFLAGS)" $(GOCMD) run ./
 
-prepare-test: protogen-go build-mock-backend
+test-models/testmodel.ggml:
+	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://cdn.openai.com/whisper/draft-20220913a/micro-machines.wav -O test-dir/audio.wav
+	cp tests/models_fixtures/* test-models
+
+prepare-test: protogen-go
+	cp tests/models_fixtures/* test-models
 
 ########################################################
 ## Tests
 ########################################################
 
 ## Test targets
-## After the test-suite reorg (see plans/test-reorg) the default `make test`
-## no longer downloads multi-GB GGUF/whisper fixtures or builds llama-cpp /
-## transformers / piper / whisper / stablediffusion-ggml. core/http/app_test.go
-## now drives the mock-backend binary built by build-mock-backend; real-backend
-## inference moved into tests/e2e-backends/ (per-backend, path-filtered) and
-## tests/e2e-aio/ (nightly).
-test: prepare-test
+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) \
-	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --flake-attempts $(TEST_FLAKES) --fail-fast -v -r $(TEST_PATHS)
-
-########################################################
-## Lint
-########################################################
-## Runs golangci-lint with config from .golangci.yml. Includes the standard
-## linter set plus forbidigo, which enforces the Ginkgo/Gomega-only test
-## convention documented in .agents/coding-style.md.
-##
-## LINT_EXCLUDE_DIRS_RE matches directories whose Go packages can't typecheck
-## without C/C++ headers we don't install in the lint runner (cgo wrappers
-## around llama.cpp, piper/spdlog, silero-vad/onnxruntime, and Fyne/OpenGL for
-## the launcher). Their compile-time correctness is enforced by their own
-## build pipelines. Keep this as a deny list — `go list ./...` discovers
-## everything else automatically, so new packages are scanned by default.
-LINT_EXCLUDE_DIRS_RE=/(backend/go/(piper|silero-vad|llm)|cmd/launcher)(/|$$)
-
-lint:
-	@command -v golangci-lint >/dev/null 2>&1 || { \
-		echo 'golangci-lint not installed. Install: go install github.com/golangci/golangci-lint/v2/cmd/golangci-lint@latest'; \
-		exit 1; \
-	}
-	golangci-lint run $$(go list -e -f '{{.Dir}}' ./... | grep -vE '$(LINT_EXCLUDE_DIRS_RE)')
-
-## Like `lint` but reports every issue, including the pre-existing baseline
-## that `lint` ignores via .golangci.yml's new-from-merge-base. Use this to
-## see what's available to clean up.
-lint-all:
-	@command -v golangci-lint >/dev/null 2>&1 || { \
-		echo 'golangci-lint not installed. Install: go install github.com/golangci/golangci-lint/v2/cmd/golangci-lint@latest'; \
-		exit 1; \
-	}
-	golangci-lint run --new=false --new-from-merge-base= --new-from-rev= $$(go list -e -f '{{.Dir}}' ./... | grep -vE '$(LINT_EXCLUDE_DIRS_RE)')
+	HUGGINGFACE_GRPC=$(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
 
 ########################################################
 ## E2E AIO tests (uses standard image with pre-configured models)
@@ -216,8 +184,6 @@ docker-build-e2e:
 		--build-arg CUDA_MINOR_VERSION=$(CUDA_MINOR_VERSION) \
 		--build-arg UBUNTU_VERSION=$(UBUNTU_VERSION) \
 		--build-arg UBUNTU_CODENAME=$(UBUNTU_CODENAME) \
-		--build-arg APT_MIRROR=$(APT_MIRROR) \
-		--build-arg APT_PORTS_MIRROR=$(APT_PORTS_MIRROR) \
 		--build-arg GO_TAGS="$(GO_TAGS)" \
 		-t local-ai:tests -f Dockerfile .
 
@@ -245,8 +211,6 @@ prepare-e2e:
 		--build-arg CUDA_MINOR_VERSION=$(CUDA_MINOR_VERSION) \
 		--build-arg UBUNTU_VERSION=$(UBUNTU_VERSION) \
 		--build-arg UBUNTU_CODENAME=$(UBUNTU_CODENAME) \
-		--build-arg APT_MIRROR=$(APT_MIRROR) \
-		--build-arg APT_PORTS_MIRROR=$(APT_PORTS_MIRROR) \
 		--build-arg GO_TAGS="$(GO_TAGS)" \
 		--build-arg MAKEFLAGS="$(DOCKER_MAKEFLAGS)" \
 		-t localai-tests .
@@ -271,12 +235,20 @@ teardown-e2e:
 ## Integration and unit tests
 ########################################################
 
-## Storage / vector-store integration. Requires the local-store backend to
-## be available — we build it on demand and pass its location via
-## BACKENDS_PATH (the model loader looks there for the gRPC binary).
-test-stores: backends/local-store
-	BACKENDS_PATH=$(abspath ./)/backends \
-	$(GOCMD) run github.com/onsi/ginkgo/v2/ginkgo --flake-attempts $(TEST_FLAKES) -v -r tests/integration
+test-llama-gguf: prepare-test
+	TEST_DIR=$(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) -v -r $(TEST_PATHS)
+
+test-tts: prepare-test
+	TEST_DIR=$(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="tts" --flake-attempts $(TEST_FLAKES) -v -r $(TEST_PATHS)
+
+test-stablediffusion: prepare-test
+	TEST_DIR=$(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="stablediffusion" --flake-attempts $(TEST_FLAKES) -v -r $(TEST_PATHS)
+
+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'
@@ -288,8 +260,6 @@ test-opus-docker:
 	docker build --target builder \
 	  --build-arg BUILD_TYPE=$(or $(BUILD_TYPE),) \
 	  --build-arg BASE_IMAGE=$(or $(BASE_IMAGE),ubuntu:24.04) \
-	  --build-arg APT_MIRROR=$(APT_MIRROR) \
-	  --build-arg APT_PORTS_MIRROR=$(APT_PORTS_MIRROR) \
 	  --build-arg BACKEND=opus \
 	  -t localai-opus-test -f backend/Dockerfile.golang .
 	docker run --rm localai-opus-test \
@@ -299,13 +269,23 @@ 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
 
-# Container-based real-model realtime testing. Build env vars / pipeline
-# definition kept here so test-realtime-models-docker can drive a fully wired
-# pipeline (VAD + STT + LLM + TTS) from inside a containerised runner.
+# 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 ---
 
@@ -331,8 +311,6 @@ test-realtime-models-docker: build-mock-backend
 	  --build-arg BUILD_TYPE=$(or $(BUILD_TYPE),cublas) \
 	  --build-arg CUDA_MAJOR_VERSION=$(or $(CUDA_MAJOR_VERSION),13) \
 	  --build-arg CUDA_MINOR_VERSION=$(or $(CUDA_MINOR_VERSION),0) \
-	  --build-arg APT_MIRROR=$(APT_MIRROR) \
-	  --build-arg APT_PORTS_MIRROR=$(APT_PORTS_MIRROR) \
 	  -t localai-test-runner .
 	docker run --rm \
 	  $(REALTIME_DOCKER_FLAGS) \
@@ -550,9 +528,7 @@ test-extra-backend: protogen-go
 
 ## Convenience wrappers: build the image, then exercise it.
 test-extra-backend-llama-cpp: docker-build-llama-cpp
-	BACKEND_IMAGE=local-ai-backend:llama-cpp \
-	BACKEND_TEST_CAPS=health,load,predict,stream,logprobs,logit_bias \
-	$(MAKE) test-extra-backend
+	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
@@ -569,6 +545,19 @@ test-extra-backend-turboquant: docker-build-turboquant
 	BACKEND_TEST_CACHE_TYPE_V=turbo3 \
 	$(MAKE) test-extra-backend
 
+## buun-llama-cpp: exercises the fork-of-a-fork backend (spiritbuun/buun-llama-cpp)
+## with the *TurboQuant/TCQ-specific* KV-cache types (turbo3 for V). Same rationale
+## as turboquant above: picking a standard llama.cpp type would only re-test the
+## shared code path. buun inherits turboquant's turbo2/turbo3/turbo4 and adds
+## turbo2_tcq / turbo3_tcq on top. DFlash speculative decoding is not exercised
+## here because no small DFlash drafter model exists (the known public pair is
+## Qwen3.5-27B, ~54 GB).
+test-extra-backend-buun-llama-cpp: docker-build-buun-llama-cpp
+	BACKEND_IMAGE=local-ai-backend:buun-llama-cpp \
+	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
@@ -848,32 +837,6 @@ test-extra-backend-sherpa-onnx-tts: docker-build-sherpa-onnx
 	BACKEND_TEST_CAPS=health,load,tts \
 	$(MAKE) test-extra-backend
 
-## VibeVoice TTS via the vibevoice-cpp backend. ModelFile is the
-## realtime gguf; the supplementary tokenizer + voice prompt land
-## alongside it under the harness's models dir and are wired through
-## via the standard Options[] convention (tokenizer=, voice=).
-test-extra-backend-vibevoice-cpp-tts: docker-build-vibevoice-cpp
-	BACKEND_IMAGE=local-ai-backend:vibevoice-cpp \
-	BACKEND_TEST_MODEL_URL='https://huggingface.co/mudler/vibevoice.cpp-models/resolve/main/vibevoice-realtime-0.5B-q8_0.gguf#vibevoice-realtime-0.5B-q8_0.gguf' \
-	BACKEND_TEST_EXTRA_FILES='https://huggingface.co/mudler/vibevoice.cpp-models/resolve/main/tokenizer.gguf#tokenizer.gguf|https://huggingface.co/mudler/vibevoice.cpp-models/resolve/main/voice-en-Carter_man.gguf#voice-en-Carter_man.gguf' \
-	BACKEND_TEST_OPTIONS=tokenizer:tokenizer.gguf,voice:voice-en-Carter_man.gguf \
-	BACKEND_TEST_CAPS=health,load,tts \
-	$(MAKE) test-extra-backend
-
-## VibeVoice ASR (long-form, with diarization). type=asr tells the
-## backend's Load() to slot ModelFile into the asr_model role; the
-## tokenizer is supplied via Options[]. Uses the Q4_K quant (~10 GB)
-## rather than Q8_0 (~14 GB) so the bundle fits inside ubuntu-latest's
-## post-image disk budget.
-test-extra-backend-vibevoice-cpp-transcription: docker-build-vibevoice-cpp
-	BACKEND_IMAGE=local-ai-backend:vibevoice-cpp \
-	BACKEND_TEST_MODEL_URL='https://huggingface.co/mudler/vibevoice.cpp-models/resolve/main/vibevoice-asr-q4_k.gguf#vibevoice-asr-q4_k.gguf' \
-	BACKEND_TEST_EXTRA_FILES='https://huggingface.co/mudler/vibevoice.cpp-models/resolve/main/tokenizer.gguf#tokenizer.gguf' \
-	BACKEND_TEST_AUDIO_URL=https://github.com/ggml-org/whisper.cpp/raw/master/samples/jfk.wav \
-	BACKEND_TEST_OPTIONS=type:asr,tokenizer:tokenizer.gguf \
-	BACKEND_TEST_CAPS=health,load,transcription \
-	$(MAKE) test-extra-backend
-
 ## sglang mirrors the vllm setup: HuggingFace model id, same tiny Qwen,
 ## tool-call extraction via sglang's native qwen parser. CPU builds use
 ## sglang's upstream pyproject_cpu.toml recipe (see backend/python/sglang/install.sh).
@@ -916,8 +879,6 @@ docker:
 		--build-arg CUDA_MINOR_VERSION=$(CUDA_MINOR_VERSION) \
 		--build-arg UBUNTU_VERSION=$(UBUNTU_VERSION) \
 		--build-arg UBUNTU_CODENAME=$(UBUNTU_CODENAME) \
-		--build-arg APT_MIRROR=$(APT_MIRROR) \
-		--build-arg APT_PORTS_MIRROR=$(APT_PORTS_MIRROR) \
 		-t $(DOCKER_IMAGE) .
 
 docker-cuda12:
@@ -931,13 +892,11 @@ docker-cuda12:
 		--build-arg BUILD_TYPE=$(BUILD_TYPE) \
 		--build-arg UBUNTU_VERSION=$(UBUNTU_VERSION) \
 		--build-arg UBUNTU_CODENAME=$(UBUNTU_CODENAME) \
-		--build-arg APT_MIRROR=$(APT_MIRROR) \
-		--build-arg APT_PORTS_MIRROR=$(APT_PORTS_MIRROR) \
 		-t $(DOCKER_IMAGE)-cuda-12 .
 
 docker-image-intel:
 	docker build \
-		--build-arg BASE_IMAGE=intel/oneapi-basekit:2025.3.2-0-devel-ubuntu24.04 \
+		--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="$(DOCKER_MAKEFLAGS)" \
@@ -946,8 +905,6 @@ docker-image-intel:
 		--build-arg CUDA_MINOR_VERSION=$(CUDA_MINOR_VERSION) \
 		--build-arg UBUNTU_VERSION=$(UBUNTU_VERSION) \
 		--build-arg UBUNTU_CODENAME=$(UBUNTU_CODENAME) \
-		--build-arg APT_MIRROR=$(APT_MIRROR) \
-		--build-arg APT_PORTS_MIRROR=$(APT_PORTS_MIRROR) \
 		-t $(DOCKER_IMAGE) .
 
 ########################################################
@@ -1005,6 +962,11 @@ 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
+# buun-llama-cpp is a fork-of-a-fork (spiritbuun/buun-llama-cpp forks
+# TheTom/llama-cpp-turboquant) that adds DFlash block-diffusion speculative
+# decoding and extra TCQ KV-cache variants on top of TurboQuant. Same thin
+# wrapper pattern as turboquant — reuses backend/cpp/llama-cpp grpc-server.
+BACKEND_BUUN_LLAMA_CPP = buun-llama-cpp|buun-llama-cpp|.|false|false
 
 # Golang backends
 BACKEND_PIPER = piper|golang|.|false|true
@@ -1016,7 +978,6 @@ 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_VIBEVOICE_CPP = vibevoice-cpp|golang|.|false|true
 BACKEND_OPUS = opus|golang|.|false|true
 BACKEND_SHERPA_ONNX = sherpa-onnx|golang|.|false|true
 
@@ -1071,10 +1032,7 @@ define docker-build-backend
 		--build-arg CUDA_MINOR_VERSION=$(CUDA_MINOR_VERSION) \
 		--build-arg UBUNTU_VERSION=$(UBUNTU_VERSION) \
 		--build-arg UBUNTU_CODENAME=$(UBUNTU_CODENAME) \
-		--build-arg APT_MIRROR=$(APT_MIRROR) \
-		--build-arg APT_PORTS_MIRROR=$(APT_PORTS_MIRROR) \
 		$(if $(FROM_SOURCE),--build-arg FROM_SOURCE=$(FROM_SOURCE)) \
-		$(if $(AMDGPU_TARGETS),--build-arg AMDGPU_TARGETS=$(AMDGPU_TARGETS)) \
 		$(if $(filter true,$(5)),--build-arg BACKEND=$(1)) \
 		-t local-ai-backend:$(1) -f backend/Dockerfile.$(2) $(3)
 endef
@@ -1089,6 +1047,7 @@ endef
 $(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_BUUN_LLAMA_CPP)))
 $(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)))
@@ -1126,7 +1085,6 @@ $(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_VIBEVOICE_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)))
@@ -1141,7 +1099,7 @@ $(eval $(call generate-docker-build-target,$(BACKEND_SHERPA_ONNX)))
 docker-save-%: backend-images
 	docker save local-ai-backend:$* -o backend-images/$*.tar
 
-docker-build-backends: docker-build-llama-cpp docker-build-ik-llama-cpp docker-build-turboquant docker-build-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-build-vibevoice-cpp docker-build-insightface docker-build-speaker-recognition docker-build-sherpa-onnx
+docker-build-backends: docker-build-llama-cpp docker-build-ik-llama-cpp docker-build-turboquant docker-build-buun-llama-cpp 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-build-insightface docker-build-speaker-recognition docker-build-sherpa-onnx
 
 ########################################################
 ### Mock Backend for E2E Tests

README.md

@@ -38,7 +38,7 @@
 - **Built-in AI agents** — autonomous agents with tool use, RAG, MCP, and skills
 - **Privacy-first** — your data never leaves your infrastructure
 
-Created by [Ettore Di Giacinto](https://github.com/mudler) and maintained by the [LocalAI team](#team).
+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/)
 
@@ -201,14 +201,13 @@ See the full [Backend & Model Compatibility Table](https://localai.io/model-comp
 - [Media & blog posts](https://localai.io/basics/news/#media-blogs-social)
 - [Examples](https://github.com/mudler/LocalAI-examples)
 
-## Team
+## Autonomous Development Team
 
-LocalAI is maintained by a small team of humans, together with the wider community of contributors.
+LocalAI is helped being maintained by a team of autonomous AI agents led by an AI Scrum Master.
 
-- **[Ettore Di Giacinto](https://github.com/mudler)** — original author and project lead
-- **[Richard Palethorpe](https://github.com/richiejp)** — maintainer
-
-A huge thank you to everyone who contributes code, reviews PRs, files issues, and helps users in [Discord](https://discord.gg/uJAeKSAGDy) — LocalAI is a community-driven project and wouldn't exist without you. See the full [contributors list](https://github.com/mudler/LocalAI/graphs/contributors).
+- **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
 
@@ -251,7 +250,7 @@ A special thanks to individual sponsors, a full list is on [GitHub](https://gith
 
 ## License
 
-LocalAI is a community-driven project created by [Ettore Di Giacinto](https://github.com/mudler/) and maintained by the [LocalAI team](#team).
+LocalAI is a community-driven project created by [Ettore Di Giacinto](https://github.com/mudler/).
 
 MIT - Author Ettore Di Giacinto <mudler@localai.io>
 

backend/Dockerfile.buun-llama-cpp

@@ -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) = ${CMAKE_ARGS}"
+  rm -rf /LocalAI/backend/cpp/buun-llama-cpp-*-build
+fi
+
+cd /LocalAI/backend/cpp/buun-llama-cpp
+
+if [ "${TARGETARCH}" = "arm64" ] || [ "${BUILD_TYPE}" = "hipblas" ]; then
+  make buun-llama-cpp-fallback
+  make buun-llama-cpp-grpc
+  make buun-llama-cpp-rpc-server
+else
+  make buun-llama-cpp-avx
+  make buun-llama-cpp-avx2
+  make buun-llama-cpp-avx512
+  make buun-llama-cpp-fallback
+  make buun-llama-cpp-grpc
+  make buun-llama-cpp-rpc-server
+fi
+EOT
+
+
+# Copy libraries using a script to handle architecture differences
+RUN make -BC /LocalAI/backend/cpp/buun-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/buun-llama-cpp/package/. ./

backend/Dockerfile.golang

@@ -1,6 +1,4 @@
 ARG BASE_IMAGE=ubuntu:24.04
-ARG APT_MIRROR=""
-ARG APT_PORTS_MIRROR=""
 
 FROM ${BASE_IMAGE} AS builder
 ARG BACKEND=rerankers
@@ -16,14 +14,8 @@ ARG TARGETARCH
 ARG TARGETVARIANT
 ARG GO_VERSION=1.25.4
 ARG UBUNTU_VERSION=2404
-ARG AMDGPU_TARGETS
-ENV AMDGPU_TARGETS=${AMDGPU_TARGETS}
-ARG APT_MIRROR
-ARG APT_PORTS_MIRROR
 
-RUN --mount=type=bind,source=.docker/apt-mirror.sh,target=/usr/local/sbin/apt-mirror \
-    APT_MIRROR="${APT_MIRROR}" APT_PORTS_MIRROR="${APT_PORTS_MIRROR}" sh /usr/local/sbin/apt-mirror && \
-    apt-get update && \
+RUN apt-get update && \
     apt-get install -y --no-install-recommends \
         build-essential \
         git ccache \
@@ -155,7 +147,6 @@ RUN if [ "${BUILD_TYPE}" = "hipblas" ] && [ "${SKIP_DRIVERS}" = "false" ]; then
         apt-get update && \
         apt-get install -y --no-install-recommends \
             hipblas-dev \
-            hipblaslt-dev \
             rocblas-dev && \
         apt-get clean && \
         rm -rf /var/lib/apt/lists/* && \

backend/Dockerfile.ik-llama-cpp

@@ -1,7 +1,5 @@
 ARG BASE_IMAGE=ubuntu:24.04
 ARG GRPC_BASE_IMAGE=${BASE_IMAGE}
-ARG APT_MIRROR=""
-ARG APT_PORTS_MIRROR=""
 
 
 # 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.
@@ -14,16 +12,12 @@ 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
-ARG APT_MIRROR
-ARG APT_PORTS_MIRROR
 
 ENV MAKEFLAGS=${GRPC_MAKEFLAGS}
 
 WORKDIR /build
 
-RUN --mount=type=bind,source=.docker/apt-mirror.sh,target=/usr/local/sbin/apt-mirror \
-    APT_MIRROR="${APT_MIRROR}" APT_PORTS_MIRROR="${APT_PORTS_MIRROR}" sh /usr/local/sbin/apt-mirror && \
-    apt-get update && \
+RUN apt-get update && \
     apt-get install -y --no-install-recommends \
         ca-certificates \
         build-essential curl libssl-dev \
@@ -77,12 +71,8 @@ ARG TARGETARCH
 ARG TARGETVARIANT
 ARG GO_VERSION=1.25.4
 ARG UBUNTU_VERSION=2404
-ARG APT_MIRROR
-ARG APT_PORTS_MIRROR
 
-RUN --mount=type=bind,source=.docker/apt-mirror.sh,target=/usr/local/sbin/apt-mirror \
-    APT_MIRROR="${APT_MIRROR}" APT_PORTS_MIRROR="${APT_PORTS_MIRROR}" sh /usr/local/sbin/apt-mirror && \
-    apt-get update && \
+RUN apt-get update && \
     apt-get install -y --no-install-recommends \
         build-essential \
         ccache git \
@@ -214,7 +204,6 @@ RUN if [ "${BUILD_TYPE}" = "hipblas" ] && [ "${SKIP_DRIVERS}" = "false" ]; then
         apt-get update && \
         apt-get install -y --no-install-recommends \
             hipblas-dev \
-            hipblaslt-dev \
             rocblas-dev && \
         apt-get clean && \
         rm -rf /var/lib/apt/lists/* && \

backend/Dockerfile.llama-cpp

@@ -1,7 +1,5 @@
 ARG BASE_IMAGE=ubuntu:24.04
 ARG GRPC_BASE_IMAGE=${BASE_IMAGE}
-ARG APT_MIRROR=""
-ARG APT_PORTS_MIRROR=""
 
 
 # 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.
@@ -14,16 +12,12 @@ 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
-ARG APT_MIRROR
-ARG APT_PORTS_MIRROR
 
 ENV MAKEFLAGS=${GRPC_MAKEFLAGS}
 
 WORKDIR /build
 
-RUN --mount=type=bind,source=.docker/apt-mirror.sh,target=/usr/local/sbin/apt-mirror \
-    APT_MIRROR="${APT_MIRROR}" APT_PORTS_MIRROR="${APT_PORTS_MIRROR}" sh /usr/local/sbin/apt-mirror && \
-    apt-get update && \
+RUN apt-get update && \
     apt-get install -y --no-install-recommends \
         ca-certificates \
         build-essential curl libssl-dev \
@@ -79,12 +73,8 @@ ARG TARGETARCH
 ARG TARGETVARIANT
 ARG GO_VERSION=1.25.4
 ARG UBUNTU_VERSION=2404
-ARG APT_MIRROR
-ARG APT_PORTS_MIRROR
 
-RUN --mount=type=bind,source=.docker/apt-mirror.sh,target=/usr/local/sbin/apt-mirror \
-    APT_MIRROR="${APT_MIRROR}" APT_PORTS_MIRROR="${APT_PORTS_MIRROR}" sh /usr/local/sbin/apt-mirror && \
-    apt-get update && \
+RUN apt-get update && \
     apt-get install -y --no-install-recommends \
         build-essential \
         ccache git \
@@ -216,7 +206,6 @@ RUN if [ "${BUILD_TYPE}" = "hipblas" ] && [ "${SKIP_DRIVERS}" = "false" ]; then
         apt-get update && \
         apt-get install -y --no-install-recommends \
             hipblas-dev \
-            hipblaslt-dev \
             rocblas-dev && \
         apt-get clean && \
         rm -rf /var/lib/apt/lists/* && \

backend/Dockerfile.python

@@ -1,6 +1,4 @@
 ARG BASE_IMAGE=ubuntu:24.04
-ARG APT_MIRROR=""
-ARG APT_PORTS_MIRROR=""
 
 FROM ${BASE_IMAGE} AS builder
 ARG BACKEND=rerankers
@@ -15,12 +13,8 @@ ENV DEBIAN_FRONTEND=noninteractive
 ARG TARGETARCH
 ARG TARGETVARIANT
 ARG UBUNTU_VERSION=2404
-ARG APT_MIRROR
-ARG APT_PORTS_MIRROR
 
-RUN --mount=type=bind,source=.docker/apt-mirror.sh,target=/usr/local/sbin/apt-mirror \
-    APT_MIRROR="${APT_MIRROR}" APT_PORTS_MIRROR="${APT_PORTS_MIRROR}" sh /usr/local/sbin/apt-mirror && \
-    apt-get update && \
+RUN apt-get update && \
     apt-get install -y --no-install-recommends \
         build-essential \
         ccache \
@@ -168,7 +162,6 @@ RUN if [ "${BUILD_TYPE}" = "hipblas" ] && [ "${SKIP_DRIVERS}" = "false" ]; then
         apt-get update && \
         apt-get install -y --no-install-recommends \
             hipblas-dev \
-            hipblaslt-dev \
             rocblas-dev && \
         apt-get clean && \
         rm -rf /var/lib/apt/lists/* && \
@@ -209,13 +202,6 @@ COPY scripts/build/package-gpu-libs.sh /package-gpu-libs.sh
 ARG FROM_SOURCE=""
 ENV FROM_SOURCE=${FROM_SOURCE}
 
-# Cache-buster for the per-backend `make` step. Most Python backends list
-# unpinned deps (torch, transformers, vllm, ...), so a warm registry cache
-# would otherwise freeze upstream versions indefinitely. CI passes a value
-# that rolls weekly so the install layer is rebuilt at most once per week
-# and picks up newer wheels from PyPI / nightly indexes.
-ARG DEPS_REFRESH=initial
-
 RUN cd /${BACKEND} && PORTABLE_PYTHON=true make
 
 # Package GPU libraries into the backend's lib directory
@@ -230,4 +216,4 @@ RUN if [ -f "/${BACKEND}/package.sh" ]; then \
 
 FROM scratch
 ARG BACKEND=rerankers
-COPY --from=builder /${BACKEND}/ /
+COPY --from=builder /${BACKEND}/ /

backend/Dockerfile.rust

@@ -1,18 +1,12 @@
 ARG BASE_IMAGE=ubuntu:24.04
-ARG APT_MIRROR=""
-ARG APT_PORTS_MIRROR=""
 
 FROM ${BASE_IMAGE} AS builder
 ARG BACKEND=kokoros
 ENV DEBIAN_FRONTEND=noninteractive
 ARG TARGETARCH
 ARG TARGETVARIANT
-ARG APT_MIRROR
-ARG APT_PORTS_MIRROR
 
-RUN --mount=type=bind,source=.docker/apt-mirror.sh,target=/usr/local/sbin/apt-mirror \
-    APT_MIRROR="${APT_MIRROR}" APT_PORTS_MIRROR="${APT_PORTS_MIRROR}" sh /usr/local/sbin/apt-mirror && \
-    apt-get update && \
+RUN apt-get update && \
     apt-get install -y --no-install-recommends \
         build-essential \
         git ccache \

backend/Dockerfile.turboquant

@@ -1,7 +1,5 @@
 ARG BASE_IMAGE=ubuntu:24.04
 ARG GRPC_BASE_IMAGE=${BASE_IMAGE}
-ARG APT_MIRROR=""
-ARG APT_PORTS_MIRROR=""
 
 
 # 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.
@@ -14,16 +12,12 @@ 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
-ARG APT_MIRROR
-ARG APT_PORTS_MIRROR
 
 ENV MAKEFLAGS=${GRPC_MAKEFLAGS}
 
 WORKDIR /build
 
-RUN --mount=type=bind,source=.docker/apt-mirror.sh,target=/usr/local/sbin/apt-mirror \
-    APT_MIRROR="${APT_MIRROR}" APT_PORTS_MIRROR="${APT_PORTS_MIRROR}" sh /usr/local/sbin/apt-mirror && \
-    apt-get update && \
+RUN apt-get update && \
     apt-get install -y --no-install-recommends \
         ca-certificates \
         build-essential curl libssl-dev \
@@ -77,12 +71,8 @@ ARG TARGETARCH
 ARG TARGETVARIANT
 ARG GO_VERSION=1.25.4
 ARG UBUNTU_VERSION=2404
-ARG APT_MIRROR
-ARG APT_PORTS_MIRROR
 
-RUN --mount=type=bind,source=.docker/apt-mirror.sh,target=/usr/local/sbin/apt-mirror \
-    APT_MIRROR="${APT_MIRROR}" APT_PORTS_MIRROR="${APT_PORTS_MIRROR}" sh /usr/local/sbin/apt-mirror && \
-    apt-get update && \
+RUN apt-get update && \
     apt-get install -y --no-install-recommends \
         build-essential \
         ccache git \
@@ -214,7 +204,6 @@ RUN if [ "${BUILD_TYPE}" = "hipblas" ] && [ "${SKIP_DRIVERS}" = "false" ]; then
         apt-get update && \
         apt-get install -y --no-install-recommends \
             hipblas-dev \
-            hipblaslt-dev \
             rocblas-dev && \
         apt-get clean && \
         rm -rf /var/lib/apt/lists/* && \

backend/backend.proto

@@ -310,11 +310,6 @@ message ModelOptions {
   bool Reranking = 71;
 
   repeated string Overrides = 72;
-
-  // EngineArgs carries a JSON-encoded map of backend-native engine arguments
-  // applied verbatim to the backend's engine constructor (e.g. vLLM AsyncEngineArgs).
-  // Unknown keys produce an error at LoadModel time.
-  string EngineArgs = 73;
 }
 
 message Result {

backend/cpp/buun-llama-cpp/Makefile

@@ -0,0 +1,85 @@
+
+# Pinned to the HEAD of master on https://github.com/spiritbuun/buun-llama-cpp.
+# Auto-bumped nightly by .github/workflows/bump_deps.yaml.
+BUUN_LLAMA_VERSION?=22464d0848b87c5d56b52fdf6af2e5da46bf803e
+LLAMA_REPO?=https://github.com/spiritbuun/buun-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)
+
+CURRENT_MAKEFILE_DIR := $(dir $(abspath $(lastword $(MAKEFILE_LIST))))
+LLAMA_CPP_DIR := $(CURRENT_MAKEFILE_DIR)/../llama-cpp
+
+GREEN := \033[0;32m
+RESET := \033[0m
+
+# buun-llama-cpp is a llama.cpp fork-of-a-fork (spiritbuun/buun-llama-cpp forked
+# TheTom/llama-cpp-turboquant, which itself forked ggml-org/llama.cpp). Rather
+# than duplicating grpc-server.cpp / CMakeLists.txt / prepare.sh we reuse the
+# ones in backend/cpp/llama-cpp, and only swap which repo+sha the fetch step
+# pulls. Each flavor target copies ../llama-cpp into a sibling
+# ../buun-llama-cpp-<flavor>-build directory, then invokes llama-cpp's own
+# build-llama-cpp-grpc-server with LLAMA_REPO/LLAMA_VERSION overridden to point
+# at the fork.
+PATCHES_DIR := $(CURRENT_MAKEFILE_DIR)/patches
+
+# Each flavor target:
+#   1. copies backend/cpp/llama-cpp/ (grpc-server.cpp + prepare.sh + CMakeLists.txt + Makefile)
+#      into a sibling buun-llama-cpp-<flavor>-build directory;
+#   2. clones the buun fork into buun-llama-cpp-<flavor>-build/llama.cpp via the
+#      copy's own `llama.cpp` target, overriding LLAMA_REPO/LLAMA_VERSION;
+#   3. applies patches from backend/cpp/buun-llama-cpp/patches/ to the cloned
+#      fork sources (for backporting upstream commits the fork hasn't pulled);
+#   4. runs the copy's `grpc-server` target, which produces the binary we copy
+#      up as buun-llama-cpp-<flavor>.
+define buun-llama-cpp-build
+	rm -rf $(CURRENT_MAKEFILE_DIR)/../buun-llama-cpp-$(1)-build
+	cp -rf $(LLAMA_CPP_DIR) $(CURRENT_MAKEFILE_DIR)/../buun-llama-cpp-$(1)-build
+	$(MAKE) -C $(CURRENT_MAKEFILE_DIR)/../buun-llama-cpp-$(1)-build purge
+	# Augment the copied grpc-server.cpp's KV-cache allow-list with the
+	# fork's turbo2/turbo3/turbo4/turbo2_tcq/turbo3_tcq types and wire up the
+	# DFlash-specific option handlers (tree_budget / draft_topk). We patch the
+	# *copy*, never the original under backend/cpp/llama-cpp/, so the stock
+	# llama-cpp build stays compiling against vanilla upstream.
+	bash $(CURRENT_MAKEFILE_DIR)/patch-grpc-server.sh $(CURRENT_MAKEFILE_DIR)/../buun-llama-cpp-$(1)-build/grpc-server.cpp
+	$(info $(GREEN)I buun-llama-cpp build info:$(1)$(RESET))
+	LLAMA_REPO=$(LLAMA_REPO) LLAMA_VERSION=$(BUUN_LLAMA_VERSION) \
+	$(MAKE) -C $(CURRENT_MAKEFILE_DIR)/../buun-llama-cpp-$(1)-build llama.cpp
+	bash $(CURRENT_MAKEFILE_DIR)/apply-patches.sh $(CURRENT_MAKEFILE_DIR)/../buun-llama-cpp-$(1)-build/llama.cpp $(PATCHES_DIR)
+	CMAKE_ARGS="$(CMAKE_ARGS) $(2)" TARGET="$(3)" \
+	LLAMA_REPO=$(LLAMA_REPO) LLAMA_VERSION=$(BUUN_LLAMA_VERSION) \
+	$(MAKE) -C $(CURRENT_MAKEFILE_DIR)/../buun-llama-cpp-$(1)-build grpc-server
+	cp -rfv $(CURRENT_MAKEFILE_DIR)/../buun-llama-cpp-$(1)-build/grpc-server buun-llama-cpp-$(1)
+endef
+
+buun-llama-cpp-avx2:
+	$(call buun-llama-cpp-build,avx2,-DGGML_AVX=on -DGGML_AVX2=on -DGGML_AVX512=off -DGGML_FMA=on -DGGML_F16C=on,--target grpc-server)
+
+buun-llama-cpp-avx512:
+	$(call buun-llama-cpp-build,avx512,-DGGML_AVX=on -DGGML_AVX2=off -DGGML_AVX512=on -DGGML_FMA=on -DGGML_F16C=on,--target grpc-server)
+
+buun-llama-cpp-avx:
+	$(call buun-llama-cpp-build,avx,-DGGML_AVX=on -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_BMI2=off,--target grpc-server)
+
+buun-llama-cpp-fallback:
+	$(call buun-llama-cpp-build,fallback,-DGGML_AVX=off -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_BMI2=off,--target grpc-server)
+
+buun-llama-cpp-grpc:
+	$(call buun-llama-cpp-build,grpc,-DGGML_RPC=ON -DGGML_AVX=off -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_BMI2=off,--target grpc-server --target rpc-server)
+
+buun-llama-cpp-rpc-server: buun-llama-cpp-grpc
+	cp -rf $(CURRENT_MAKEFILE_DIR)/../buun-llama-cpp-grpc-build/llama.cpp/build/bin/rpc-server buun-llama-cpp-rpc-server
+
+package:
+	bash package.sh
+
+purge:
+	rm -rf $(CURRENT_MAKEFILE_DIR)/../buun-llama-cpp-*-build
+	rm -rf buun-llama-cpp-* package
+
+clean: purge

backend/cpp/buun-llama-cpp/apply-patches.sh

@@ -0,0 +1,50 @@
+#!/bin/bash
+# Apply the buun-llama-cpp patch series to a cloned buun-llama-cpp checkout.
+#
+# buun-llama-cpp is a fork-of-a-fork that branched off upstream llama.cpp
+# before some API changes the shared backend/cpp/llama-cpp/grpc-server.cpp
+# depends on. We carry those upstream commits as patch files under
+# backend/cpp/buun-llama-cpp/patches/ and apply them here so the reused
+# grpc-server source compiles against the fork unmodified.
+#
+# Drop the corresponding patch from patches/ whenever the fork catches up with
+# upstream — the build will fail fast if a patch stops applying, which is the
+# signal to retire it.
+
+set -euo pipefail
+
+if [[ $# -ne 2 ]]; then
+    echo "usage: $0 <llama.cpp-src-dir> <patches-dir>" >&2
+    exit 2
+fi
+
+SRC_DIR=$1
+PATCHES_DIR=$2
+
+if [[ ! -d "$SRC_DIR" ]]; then
+    echo "source dir does not exist: $SRC_DIR" >&2
+    exit 2
+fi
+
+if [[ ! -d "$PATCHES_DIR" ]]; then
+    echo "no patches dir at $PATCHES_DIR, nothing to apply"
+    exit 0
+fi
+
+shopt -s nullglob
+patches=("$PATCHES_DIR"/*.patch)
+shopt -u nullglob
+
+if [[ ${#patches[@]} -eq 0 ]]; then
+    echo "no .patch files in $PATCHES_DIR, nothing to apply"
+    exit 0
+fi
+
+cd "$SRC_DIR"
+
+for patch in "${patches[@]}"; do
+    echo "==> applying $patch"
+    git apply --verbose "$patch"
+done
+
+echo "all buun-llama-cpp patches applied successfully"

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

@@ -1,22 +1,22 @@
 #!/bin/bash
 
-# Bundle the vibevoice-cpp binary, the per-variant .so files, and the
-# runtime libs the binary depends on so the package is self-contained.
-# Mirrors backend/go/qwen3-tts-cpp/package.sh.
+# 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 -avf $CURDIR/vibevoice-cpp $CURDIR/package/
-cp -fv $CURDIR/libgovibevoicecpp-*.so $CURDIR/package/
-cp -fv $CURDIR/run.sh $CURDIR/package/
+cp -avrf $CURDIR/buun-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
@@ -28,6 +28,7 @@ if [ -f "/lib64/ld-linux-x86-64.so.2" ]; then
     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
@@ -38,8 +39,6 @@ elif [ -f "/lib/ld-linux-aarch64.so.1" ]; then
     cp -arfLv /lib/aarch64-linux-gnu/libdl.so.2 $CURDIR/package/lib/libdl.so.2
     cp -arfLv /lib/aarch64-linux-gnu/librt.so.1 $CURDIR/package/lib/librt.so.1
     cp -arfLv /lib/aarch64-linux-gnu/libpthread.so.0 $CURDIR/package/lib/libpthread.so.0
-elif [ $(uname -s) = "Darwin" ]; then
-    echo "Detected Darwin"
 else
     echo "Error: Could not detect architecture"
     exit 1

backend/cpp/buun-llama-cpp/patch-grpc-server.sh

@@ -0,0 +1,162 @@
+#!/bin/bash
+# Patch the shared backend/cpp/llama-cpp/grpc-server.cpp *copy* used by the
+# buun-llama-cpp build to account for three gaps between upstream and the fork:
+#
+#   1. Augment the kv_cache_types[] allow-list so `LoadModel` accepts the
+#      fork-specific `turbo2` / `turbo3` / `turbo4` cache types plus the buun
+#      additions `turbo2_tcq` / `turbo3_tcq`.
+#
+#   2. Wire up buun-exclusive speculative-decoding option handlers
+#      (tree_budget / draft_topk) alongside the existing spec_* handlers.
+#      These reference struct fields (common_params.speculative.tree_budget
+#      and .draft_topk) that only exist in buun's common/common.h — adding
+#      them to the shared backend/cpp/llama-cpp/grpc-server.cpp would break
+#      the stock llama-cpp build, so we inject them only into the buun copy.
+#
+#   3. Replace `get_media_marker()` (added upstream in ggml-org/llama.cpp#21962,
+#      server-side random per-instance marker) with the legacy "<__media__>"
+#      literal. The fork branched before that PR, so server-common.cpp has no
+#      get_media_marker symbol. The fork's mtmd_default_marker() still returns
+#      "<__media__>", and Go-side tooling falls back to that sentinel when the
+#      backend does not expose media_marker, so substituting the literal keeps
+#      behavior identical on the buun path.
+#
+# We patch the *copy* sitting in buun-llama-cpp-<flavor>-build/, never the
+# original under backend/cpp/llama-cpp/, so the stock llama-cpp build keeps
+# compiling against vanilla upstream.
+#
+# Idempotent: skips each insertion if its marker is already present (so re-runs
+# of the same build dir don't double-insert).
+
+set -euo pipefail
+
+if [[ $# -ne 1 ]]; then
+    echo "usage: $0 <grpc-server.cpp>" >&2
+    exit 2
+fi
+
+SRC=$1
+
+if [[ ! -f "$SRC" ]]; then
+    echo "grpc-server.cpp not found at $SRC" >&2
+    exit 2
+fi
+
+if grep -q 'GGML_TYPE_TURBO2_TCQ' "$SRC"; then
+    echo "==> $SRC already has buun cache types, skipping KV allow-list patch"
+else
+    echo "==> patching $SRC to allow turbo2/turbo3/turbo4/turbo2_tcq/turbo3_tcq KV-cache types"
+
+    # Insert the five TURBO entries right after the first `    GGML_TYPE_Q5_1,`
+    # line (the kv_cache_types[] allow-list). Using awk because the builder
+    # image does not ship python3, and GNU sed's multi-line `a\` quoting is
+    # awkward.
+    awk '
+        /^    GGML_TYPE_Q5_1,$/ && !done {
+            print
+            print "    // buun-llama-cpp fork extras — added by patch-grpc-server.sh"
+            print "    GGML_TYPE_TURBO2_0,"
+            print "    GGML_TYPE_TURBO3_0,"
+            print "    GGML_TYPE_TURBO4_0,"
+            print "    GGML_TYPE_TURBO2_TCQ,"
+            print "    GGML_TYPE_TURBO3_TCQ,"
+            done = 1
+            next
+        }
+        { print }
+        END {
+            if (!done) {
+                print "patch-grpc-server.sh: anchor `    GGML_TYPE_Q5_1,` not found" > "/dev/stderr"
+                exit 1
+            }
+        }
+    ' "$SRC" > "$SRC.tmp"
+    mv "$SRC.tmp" "$SRC"
+
+    echo "==> KV allow-list patch OK"
+fi
+
+if grep -q 'optname, "tree_budget"' "$SRC"; then
+    echo "==> $SRC already has DFlash option handlers, skipping"
+else
+    echo "==> patching $SRC to add tree_budget / draft_topk option handlers"
+
+    # Insert two new `else if` handlers between the inner close-brace of the
+    # `spec_p_split` block and the next `} else if (…spec_ngram_size_n…)` line.
+    # Upstream writes each `} else if` as a single physical line, so we don't
+    # emit an outer `}` ourselves — the existing next line provides both the
+    # close of our `draft_topk` block and the open of `spec_ngram_size_n`.
+    # Anchor on the exact 3-line body of spec_p_split so we can't drift.
+    awk '
+        prev2 == "        } else if (!strcmp(optname, \"spec_p_split\")) {" &&
+        prev1 ~ /^ +if \(optval != NULL\) \{$/ &&
+        $0    ~ /^ +try \{ params\.speculative\.p_split = std::stof\(optval_str\); \} catch \(\.\.\.\) \{\}$/ &&
+        !done {
+            print                        # print the try-line itself
+            getline inner_close          # read "            }" closing the inner if
+            print inner_close            # print it — this closes spec_p_split body
+            print "        // buun-llama-cpp DFlash options — added by patch-grpc-server.sh"
+            print "        } else if (!strcmp(optname, \"tree_budget\")) {"
+            print "            if (optval != NULL) {"
+            print "                try { params.speculative.tree_budget = std::stoi(optval_str); } catch (...) {}"
+            print "            }"
+            print "        } else if (!strcmp(optname, \"draft_topk\")) {"
+            print "            if (optval != NULL) {"
+            print "                try { params.speculative.draft_topk = std::stoi(optval_str); } catch (...) {}"
+            print "            }"
+            # The next source line (`} else if (…spec_ngram_size_n…) {`) closes
+            # our draft_topk block and continues the chain naturally; fall back
+            # into the main loop to emit it and everything after.
+            done = 1
+            prev2 = prev1
+            prev1 = inner_close
+            next
+        }
+        { print; prev2 = prev1; prev1 = $0 }
+        END {
+            if (!done) {
+                print "patch-grpc-server.sh: spec_p_split anchor not found" > "/dev/stderr"
+                exit 1
+            }
+        }
+    ' "$SRC" > "$SRC.tmp"
+    mv "$SRC.tmp" "$SRC"
+
+    echo "==> DFlash option-handler patch OK"
+fi
+
+if grep -qE 'ctx_server\.get_meta\(\)\.logit_bias_eog|params_base\.sampling\.logit_bias_eog,' "$SRC"; then
+    echo "==> patching $SRC to drop the logit_bias_eog arg from params_from_json_cmpl() callsites (buun still uses the pre-refactor 4-arg signature)"
+    # Upstream llama.cpp refactored params_from_json_cmpl to take a precomputed
+    # logit_bias_eog vector after buun's 2026-04-05 fork-point — simultaneously
+    # adding server_context_meta::logit_bias_eog as the supplier. Buun carries
+    # neither change: its params_from_json_cmpl is still 4-arg, and internally
+    # derives logit_bias_eog from the common_params it's passed. So we just
+    # delete the argument line entirely — the remaining 4 args match buun's
+    # signature and the resulting behavior matches upstream bit-for-bit
+    # (upstream's 5th arg is the same data buun derives internally).
+    #
+    # Guard is broad so this works whether the line has been run through this
+    # block before (leaving params_base.sampling.logit_bias_eog,) or not
+    # (leaving the original ctx_server.get_meta().logit_bias_eog,).
+    sed -E '/^[[:space:]]+(ctx_server\.get_meta\(\)\.logit_bias_eog|params_base\.sampling\.logit_bias_eog),$/d' "$SRC" > "$SRC.tmp"
+    mv "$SRC.tmp" "$SRC"
+    echo "==> logit_bias_eog arg drop OK"
+else
+    echo "==> $SRC has no logit_bias_eog arg line, skipping"
+fi
+
+if grep -q 'get_media_marker()' "$SRC"; then
+    echo "==> patching $SRC to replace get_media_marker() with legacy \"<__media__>\" literal"
+    # Only one call site today (ModelMetadata), but replace all occurrences to
+    # stay robust if upstream adds more. Use a temp file to avoid relying on
+    # sed -i portability (the builder image uses GNU sed, but keeping this
+    # consistent with the awk block above).
+    sed 's/get_media_marker()/"<__media__>"/g' "$SRC" > "$SRC.tmp"
+    mv "$SRC.tmp" "$SRC"
+    echo "==> get_media_marker() substitution OK"
+else
+    echo "==> $SRC has no get_media_marker() call, skipping media-marker patch"
+fi
+
+echo "==> all patches applied"

backend/cpp/buun-llama-cpp/patches/0001-fattn-atomicAdd-double-shim.patch

@@ -0,0 +1,46 @@
+Subject: [PATCH] ggml-cuda/fattn: provide atomicAdd(double*,double) shim for pre-sm_60
+
+Buun's Q² calibration path in ggml_cuda_turbo_scale_q calls
+  atomicAdd(&d_q_channel_sq_fattn[threadIdx.x], (double)(val * val));
+but native double atomicAdd is only available on compute capability 6.0
+and newer. Compiling against a CUDA arch list that includes older
+architectures (LocalAI's CUDA 12 Docker image builds for the full
+published arch range) fails with:
+
+    fattn.cu(812): error: no instance of overloaded function "atomicAdd"
+      matches the argument list, argument types are: (double *, double)
+
+Add the canonical CUDA-programming-guide shim at the top of fattn.cu so
+pre-sm_60 codegen has a definition to call. On sm_60+ the native CUDA
+intrinsic is used and the shim is elided via __CUDA_ARCH__.
+
+--- a/ggml/src/ggml-cuda/fattn.cu
++++ b/ggml/src/ggml-cuda/fattn.cu
+@@ -7,6 +7,27 @@
+
+ #include <atomic>
+
++// Pre-sm_60 double atomicAdd shim. Native double atomicAdd(double*,double)
++// is only available on CUDA compute capability 6.0+ (see CUDA C Programming
++// Guide, B.15 Atomic Functions). Buun's Q² calibration path below calls
++// atomicAdd with a double*; without this definition, nvcc fails to find a
++// matching overload whenever the compile target list includes pre-sm_60
++// architectures. The standard CAS loop implementation below matches the
++// semantics of the native intrinsic.
++#if defined(__CUDA_ARCH__) && __CUDA_ARCH__ < 600
++static __device__ double atomicAdd(double * address, double val) {
++    unsigned long long int * address_as_ull = (unsigned long long int *)address;
++    unsigned long long int old = *address_as_ull;
++    unsigned long long int assumed;
++    do {
++        assumed = old;
++        old = atomicCAS(address_as_ull, assumed,
++                        __double_as_longlong(val + __longlong_as_double(assumed)));
++    } while (assumed != old);
++    return __longlong_as_double(old);
++}
++#endif
++
+ // InnerQ: update the fattn-side inverse scale array from host (all devices)
+ void turbo_innerq_update_fattn_scales(const float * scale_inv) {
+     int cur_device;

backend/cpp/buun-llama-cpp/patches/0002-argmax-shfl-xor-sync-add-width.patch

@@ -0,0 +1,32 @@
+Subject: [PATCH] ggml-cuda/argmax: pass WARP_SIZE to the top-K __shfl_xor_sync calls
+
+Two __shfl_xor_sync calls in the top-K intra-warp merge drop the `width`
+argument and rely on the CUDA default (warpSize). Every other call in
+the same file already passes WARP_SIZE explicitly, and the HIP/ROCm
+compatibility shim at ggml/src/ggml-cuda/vendors/hip.h:33 is a 4-arg
+function-like macro — so the 3-arg form fails to preprocess when
+building with hipcc against ROCm:
+
+    argmax.cu:265: error: too few arguments provided to function-like
+      macro invocation
+    note: macro '__shfl_xor_sync' defined here:
+      #define __shfl_xor_sync(mask, var, laneMask, width) \
+              __shfl_xor(var, laneMask, width)
+
+Align the two call sites with the rest of the file by passing WARP_SIZE
+explicitly. On CUDA the generated code is unchanged (warpSize is the
+default); on HIP it now matches the macro's arity.
+
+--- a/ggml/src/ggml-cuda/argmax.cu
++++ b/ggml/src/ggml-cuda/argmax.cu
+@@ -262,8 +262,8 @@
+     // Each step: lane gets partner's min element, if it beats our min, replace and re-heapify
+     for (int offset = WARP_SIZE / 2; offset > 0; offset >>= 1) {
+         for (int i = 0; i < K; i++) {
+-            float partner_val = __shfl_xor_sync(0xFFFFFFFF, heap_val[i], offset);
+-            int partner_idx = __shfl_xor_sync(0xFFFFFFFF, heap_idx[i], offset);
++            float partner_val = __shfl_xor_sync(0xFFFFFFFF, heap_val[i], offset, WARP_SIZE);
++            int partner_idx = __shfl_xor_sync(0xFFFFFFFF, heap_idx[i], offset, WARP_SIZE);
+             if (partner_val > heap_val[0]) {
+                 heap_val[0] = partner_val;
+                 heap_idx[0] = partner_idx;

backend/cpp/buun-llama-cpp/patches/0003-hip-add-memcpy-symbol-aliases.patch

@@ -0,0 +1,24 @@
+Subject: [PATCH] ggml-cuda/vendors/hip: alias cudaMemcpy{To,From}Symbol to hip counterparts
+
+Buun's Q² calibration + TCQ codebook upload paths in fattn.cu use
+cudaMemcpyToSymbol / cudaMemcpyFromSymbol. The HIP-compat header in
+ggml/src/ggml-cuda/vendors/hip.h already aliases the scalar cudaMemcpy
+family (cudaMemcpy, cudaMemcpyAsync, cudaMemcpy2DAsync, …) but is
+missing the symbol variants. Building with hipcc therefore fails with
+15+ "use of undeclared identifier 'cudaMemcpyToSymbol'" errors.
+
+Add the two missing aliases alongside the existing memcpy block. HIP
+provides hipMemcpy{To,From}Symbol with the same signature as CUDA's
+equivalents, so this is a straight name substitution.
+
+--- a/ggml/src/ggml-cuda/vendors/hip.h
++++ b/ggml/src/ggml-cuda/vendors/hip.h
+@@ -85,6 +85,8 @@
+ #define cudaMemcpyDeviceToDevice hipMemcpyDeviceToDevice
+ #define cudaMemcpyDeviceToHost hipMemcpyDeviceToHost
+ #define cudaMemcpyHostToDevice hipMemcpyHostToDevice
++#define cudaMemcpyToSymbol hipMemcpyToSymbol
++#define cudaMemcpyFromSymbol hipMemcpyFromSymbol
+ #define cudaMemcpyKind hipMemcpyKind
+ #define cudaMemset hipMemset
+ #define cudaMemsetAsync hipMemsetAsync

backend/cpp/buun-llama-cpp/patches/0004-fattn-fwht128-shfl-xor-sync-add-width.patch

@@ -0,0 +1,36 @@
+Subject: [PATCH] ggml-cuda/fattn: pass WARP_SIZE to fwht128 __shfl_xor_sync calls
+
+Same issue as the argmax top-K fix: two __shfl_xor_sync call sites in
+the FWHT-128 butterfly kernels (ggml_cuda_fwht128 and fwht128_store_half)
+use the 3-arg CUDA form and omit the `width` argument that the HIP
+function-like macro in vendors/hip.h:33 requires. Hipcc fails with:
+
+    fattn.cu:512: too few arguments provided to function-like macro
+      invocation
+    note: macro '__shfl_xor_sync' defined here:
+      #define __shfl_xor_sync(mask, var, laneMask, width) \
+              __shfl_xor(var, laneMask, width)
+
+Add WARP_SIZE to both calls. CUDA codegen is unchanged (warpSize is the
+default); HIP now matches the macro arity.
+
+--- a/ggml/src/ggml-cuda/fattn.cu
++++ b/ggml/src/ggml-cuda/fattn.cu
+@@ -509,7 +509,7 @@
+     // Intra-warp passes: shuffle xor with stride h, no smem, no sync.
+     #pragma unroll
+     for (int h = 1; h <= 16; h *= 2) {
+-        const float other = __shfl_xor_sync(0xFFFFFFFF, val, h);
++        const float other = __shfl_xor_sync(0xFFFFFFFF, val, h, WARP_SIZE);
+         val = (tid & h) ? (other - val) : (val + other);
+     }
+
+@@ -533,7 +533,7 @@
+ static __device__ __forceinline__ void fwht128_store_half(
+         float val, half * dst_base) {
+     const int tid = threadIdx.x;
+-    const float neighbor = __shfl_xor_sync(0xFFFFFFFF, val, 1);
++    const float neighbor = __shfl_xor_sync(0xFFFFFFFF, val, 1, WARP_SIZE);
+     if ((tid & 1) == 0) {
+         const half2 packed = __floats2half2_rn(val, neighbor);
+         *((half2 *)(dst_base + tid)) = packed;

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

@@ -0,0 +1,65 @@
+#!/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
+
+BINARY=buun-llama-cpp-fallback
+
+if grep -q -e "\savx\s" /proc/cpuinfo ; then
+	echo "CPU:    AVX    found OK"
+	if [ -e $CURDIR/buun-llama-cpp-avx ]; then
+		BINARY=buun-llama-cpp-avx
+	fi
+fi
+
+if grep -q -e "\savx2\s" /proc/cpuinfo ; then
+	echo "CPU:    AVX2   found OK"
+	if [ -e $CURDIR/buun-llama-cpp-avx2 ]; then
+		BINARY=buun-llama-cpp-avx2
+	fi
+fi
+
+# Check avx 512
+if grep -q -e "\savx512f\s" /proc/cpuinfo ; then
+	echo "CPU:    AVX512F found OK"
+	if [ -e $CURDIR/buun-llama-cpp-avx512 ]; then
+		BINARY=buun-llama-cpp-avx512
+	fi
+fi
+
+if [ -n "$LLAMACPP_GRPC_SERVERS" ]; then
+	if [ -e $CURDIR/buun-llama-cpp-grpc ]; then
+		BINARY=buun-llama-cpp-grpc
+	fi
+fi
+
+# Extend ld library path with the dir where this script is located/lib
+if [ "$(uname)" == "Darwin" ]; then
+	export DYLD_LIBRARY_PATH=$CURDIR/lib:$DYLD_LIBRARY_PATH
+else
+	export LD_LIBRARY_PATH=$CURDIR/lib:$LD_LIBRARY_PATH
+	# Tell rocBLAS where to find TensileLibrary data (GPU kernel tuning files)
+	if [ -d "$CURDIR/lib/rocblas/library" ]; then
+		export ROCBLAS_TENSILE_LIBPATH=$CURDIR/lib/rocblas/library
+	fi
+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 $CURDIR/buun-llama-cpp-fallback "$@"

backend/cpp/ik-llama-cpp/Makefile

@@ -1,5 +1,5 @@
 
-IK_LLAMA_VERSION?=a8aecbf15933295af96504f9a693998322185b5c
+IK_LLAMA_VERSION?=16996aeab772c69b6473597038b2ef0b85297e8b
 LLAMA_REPO?=https://github.com/ikawrakow/ik_llama.cpp
 
 CMAKE_ARGS?=

backend/cpp/llama-cpp/Makefile

@@ -1,5 +1,5 @@
 
-LLAMA_VERSION?=beb42fffa45eded44804a1fd4916146222371581
+LLAMA_VERSION?=187a45637054881ecacf17f8e2f6f8f2ba7df1c7
 LLAMA_REPO?=https://github.com/ggerganov/llama.cpp
 
 CMAKE_ARGS?=
@@ -34,9 +34,6 @@ else ifeq ($(BUILD_TYPE),hipblas)
 	export CXX=$(ROCM_HOME)/llvm/bin/clang++
 	export CC=$(ROCM_HOME)/llvm/bin/clang
 	AMDGPU_TARGETS?=gfx908,gfx90a,gfx942,gfx950,gfx1030,gfx1100,gfx1101,gfx1102,gfx1151,gfx1200,gfx1201
-ifeq ($(strip $(AMDGPU_TARGETS)),)
-$(error AMDGPU_TARGETS is empty — set it to a comma-separated list of gfx targets e.g. gfx1100,gfx1101)
-endif
 	CMAKE_ARGS+=-DGGML_HIP=ON -DAMDGPU_TARGETS=$(AMDGPU_TARGETS)
 else ifeq ($(BUILD_TYPE),vulkan)
 	CMAKE_ARGS+=-DGGML_VULKAN=1

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

@@ -442,7 +442,7 @@ static void params_parse(server_context& /*ctx_server*/, const backend::ModelOpt
 
     // Draft model for speculative decoding
     if (!request->draftmodel().empty()) {
-        params.speculative.draft.mparams.path = request->draftmodel();
+        params.speculative.mparams_dft.path = request->draftmodel();
         // Default to draft type if a draft model is set but no explicit type
         if (params.speculative.type == COMMON_SPECULATIVE_TYPE_NONE) {
             params.speculative.type = COMMON_SPECULATIVE_TYPE_DRAFT;
@@ -642,21 +642,6 @@ static void params_parse(server_context& /*ctx_server*/, const backend::ModelOpt
             } else if (optval_str == "false" || optval_str == "0" || optval_str == "no" || optval_str == "off" || optval_str == "disabled") {
                 params.no_op_offload = false;
             }
-        } else if (!strcmp(optname, "split_mode") || !strcmp(optname, "sm")) {
-            // Accepts: none | layer | row | tensor (the latter requires a llama.cpp build
-            // that includes ggml-org/llama.cpp#19378, FlashAttention enabled, and KV-cache
-            // quantization disabled).
-            if (optval != NULL) {
-                if (optval_str == "none") {
-                    params.split_mode = LLAMA_SPLIT_MODE_NONE;
-                } else if (optval_str == "layer") {
-                    params.split_mode = LLAMA_SPLIT_MODE_LAYER;
-                } else if (optval_str == "row") {
-                    params.split_mode = LLAMA_SPLIT_MODE_ROW;
-                } else if (optval_str == "tensor") {
-                    params.split_mode = LLAMA_SPLIT_MODE_TENSOR;
-                }
-            }
         } else if (!strcmp(optname, "kv_unified") || !strcmp(optname, "unified_kv")) {
             if (optval_str == "true" || optval_str == "1" || optval_str == "yes" || optval_str == "on" || optval_str == "enabled") {
                 params.kv_unified = true;
@@ -679,39 +664,39 @@ static void params_parse(server_context& /*ctx_server*/, const backend::ModelOpt
             }
         } else if (!strcmp(optname, "spec_n_max") || !strcmp(optname, "draft_max")) {
             if (optval != NULL) {
-                try { params.speculative.draft.n_max = std::stoi(optval_str); } catch (...) {}
+                try { params.speculative.n_max = std::stoi(optval_str); } catch (...) {}
             }
         } else if (!strcmp(optname, "spec_n_min") || !strcmp(optname, "draft_min")) {
             if (optval != NULL) {
-                try { params.speculative.draft.n_min = std::stoi(optval_str); } catch (...) {}
+                try { params.speculative.n_min = std::stoi(optval_str); } catch (...) {}
             }
         } else if (!strcmp(optname, "spec_p_min") || !strcmp(optname, "draft_p_min")) {
             if (optval != NULL) {
-                try { params.speculative.draft.p_min = std::stof(optval_str); } catch (...) {}
+                try { params.speculative.p_min = std::stof(optval_str); } catch (...) {}
             }
         } else if (!strcmp(optname, "spec_p_split")) {
             if (optval != NULL) {
-                try { params.speculative.draft.p_split = std::stof(optval_str); } catch (...) {}
+                try { params.speculative.p_split = std::stof(optval_str); } catch (...) {}
             }
         } else if (!strcmp(optname, "spec_ngram_size_n") || !strcmp(optname, "ngram_size_n")) {
             if (optval != NULL) {
-                try { params.speculative.ngram_simple.size_n = (uint16_t)std::stoi(optval_str); } catch (...) {}
+                try { params.speculative.ngram_size_n = (uint16_t)std::stoi(optval_str); } catch (...) {}
             }
         } else if (!strcmp(optname, "spec_ngram_size_m") || !strcmp(optname, "ngram_size_m")) {
             if (optval != NULL) {
-                try { params.speculative.ngram_simple.size_m = (uint16_t)std::stoi(optval_str); } catch (...) {}
+                try { params.speculative.ngram_size_m = (uint16_t)std::stoi(optval_str); } catch (...) {}
             }
         } else if (!strcmp(optname, "spec_ngram_min_hits") || !strcmp(optname, "ngram_min_hits")) {
             if (optval != NULL) {
-                try { params.speculative.ngram_simple.min_hits = (uint16_t)std::stoi(optval_str); } catch (...) {}
+                try { params.speculative.ngram_min_hits = (uint16_t)std::stoi(optval_str); } catch (...) {}
             }
         } else if (!strcmp(optname, "draft_gpu_layers")) {
             if (optval != NULL) {
-                try { params.speculative.draft.n_gpu_layers = std::stoi(optval_str); } catch (...) {}
+                try { params.speculative.n_gpu_layers = std::stoi(optval_str); } catch (...) {}
             }
         } else if (!strcmp(optname, "draft_ctx_size")) {
             if (optval != NULL) {
-                try { params.speculative.draft.n_ctx = std::stoi(optval_str); } catch (...) {}
+                try { params.speculative.n_ctx = std::stoi(optval_str); } catch (...) {}
             }
         }
     }
@@ -933,8 +918,8 @@ public:
             if (!params.mmproj.path.empty()) {
                 error_msg += " (with mmproj: " + params.mmproj.path + ")";
             }
-            if (params.speculative.has_dft() && !params.speculative.draft.mparams.path.empty()) {
-                error_msg += " (with draft model: " + params.speculative.draft.mparams.path + ")";
+            if (params.speculative.has_dft() && !params.speculative.mparams_dft.path.empty()) {
+                error_msg += " (with draft model: " + params.speculative.mparams_dft.path + ")";
             }
             
             // Add captured error details if available

backend/cpp/turboquant/Makefile

@@ -1,7 +1,7 @@
 
 # Pinned to the HEAD of feature/turboquant-kv-cache on https://github.com/TheTom/llama-cpp-turboquant.
 # Auto-bumped nightly by .github/workflows/bump_deps.yaml.
-TURBOQUANT_VERSION?=11a241d0db78a68e0a5b99fe6f36de6683100f6a
+TURBOQUANT_VERSION?=627ebbc6e27727bd4f65422d8aa60b13404993c8
 LLAMA_REPO?=https://github.com/TheTom/llama-cpp-turboquant
 
 CMAKE_ARGS?=

backend/cpp/turboquant/patch-grpc-server.sh

@@ -1,6 +1,6 @@
 #!/bin/bash
 # Patch the shared backend/cpp/llama-cpp/grpc-server.cpp *copy* used by the
-# turboquant build to account for the gaps between upstream and the fork:
+# turboquant build to account for two gaps between upstream and the fork:
 #
 #   1. Augment the kv_cache_types[] allow-list so `LoadModel` accepts the
 #      fork-specific `turbo2` / `turbo3` / `turbo4` cache types.
@@ -11,14 +11,6 @@
 #      "<__media__>", and Go-side tooling falls back to that sentinel when the
 #      backend does not expose media_marker, so substituting the literal keeps
 #      behavior identical on the turboquant path.
-#   3. Revert the `common_params_speculative` field references to the
-#      pre-refactor flat layout. Upstream ggml-org/llama.cpp#22397 split the
-#      struct into nested `draft` / `ngram_simple` / `ngram_mod` / etc. members;
-#      the turboquant fork branched before that PR and still exposes the flat
-#      `n_max`, `mparams_dft`, `ngram_size_n`, ... fields. The substitutions
-#      below map the new nested paths back to the legacy flat names so the
-#      shared grpc-server.cpp keeps compiling against the fork's common.h.
-#      Drop this block once the fork rebases past #22397.
 #
 # We patch the *copy* sitting in turboquant-<flavor>-build/, never the original
 # under backend/cpp/llama-cpp/, so the stock llama-cpp build keeps compiling
@@ -85,27 +77,4 @@ else
     echo "==> $SRC has no get_media_marker() call, skipping media-marker patch"
 fi
 
-if grep -q 'params\.speculative\.draft\.\|params\.speculative\.ngram_simple\.' "$SRC"; then
-    echo "==> patching $SRC to revert common_params_speculative refs to pre-#22397 flat layout"
-    # Each substitution is the exact post-refactor path → legacy flat field.
-    # Order doesn't matter because the source paths are disjoint, but we keep
-    # the most-specific (mparams.path) first for readability.
-    sed -E \
-        -e 's/params\.speculative\.draft\.mparams\.path/params.speculative.mparams_dft.path/g' \
-        -e 's/params\.speculative\.draft\.n_max/params.speculative.n_max/g' \
-        -e 's/params\.speculative\.draft\.n_min/params.speculative.n_min/g' \
-        -e 's/params\.speculative\.draft\.p_min/params.speculative.p_min/g' \
-        -e 's/params\.speculative\.draft\.p_split/params.speculative.p_split/g' \
-        -e 's/params\.speculative\.draft\.n_gpu_layers/params.speculative.n_gpu_layers/g' \
-        -e 's/params\.speculative\.draft\.n_ctx/params.speculative.n_ctx/g' \
-        -e 's/params\.speculative\.ngram_simple\.size_n/params.speculative.ngram_size_n/g' \
-        -e 's/params\.speculative\.ngram_simple\.size_m/params.speculative.ngram_size_m/g' \
-        -e 's/params\.speculative\.ngram_simple\.min_hits/params.speculative.ngram_min_hits/g' \
-        "$SRC" > "$SRC.tmp"
-    mv "$SRC.tmp" "$SRC"
-    echo "==> speculative field rename OK"
-else
-    echo "==> $SRC has no post-#22397 speculative field refs, skipping spec rename patch"
-fi
-
 echo "==> all patches applied"

backend/go/sam3-cpp/CMakeLists.txt

@@ -10,7 +10,7 @@ set(SAM3_BUILD_TESTS OFF CACHE BOOL "Disable sam3.cpp tests" FORCE)
 
 add_subdirectory(./sources/sam3.cpp)
 
-add_library(gosam3 MODULE cpp/gosam3.cpp)
+add_library(gosam3 MODULE gosam3.cpp)
 target_link_libraries(gosam3 PRIVATE sam3 ggml)
 
 if(CMAKE_CXX_COMPILER_ID MATCHES "GNU" AND CMAKE_CXX_COMPILER_VERSION VERSION_LESS 9.0)

backend/go/sam3-cpp/Makefile

@@ -111,7 +111,7 @@ libgosam3-fallback.so: sources/sam3.cpp
 	SO_TARGET=libgosam3-fallback.so CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=off -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_BMI2=off" $(MAKE) libgosam3-custom
 	rm -rfv build*
 
-libgosam3-custom: CMakeLists.txt cpp/gosam3.cpp cpp/gosam3.h
+libgosam3-custom: CMakeLists.txt gosam3.cpp gosam3.h
 	mkdir -p build-$(SO_TARGET) && \
 	cd build-$(SO_TARGET) && \
 	cmake .. $(CMAKE_ARGS) && \

backend/go/stablediffusion-ggml/CMakeLists.txt

@@ -4,7 +4,7 @@ set(CMAKE_POSITION_INDEPENDENT_CODE ON)
 
 add_subdirectory(./sources/stablediffusion-ggml.cpp)
 
-add_library(gosd MODULE cpp/gosd.cpp)
+add_library(gosd MODULE gosd.cpp)
 target_link_libraries(gosd PRIVATE stable-diffusion ggml)
 
 if(CMAKE_CXX_COMPILER_ID MATCHES "GNU" AND CMAKE_CXX_COMPILER_VERSION VERSION_LESS 9.0)

backend/go/stablediffusion-ggml/Makefile

@@ -8,7 +8,7 @@ JOBS?=$(shell nproc --ignore=1)
 
 # stablediffusion.cpp (ggml)
 STABLEDIFFUSION_GGML_REPO?=https://github.com/leejet/stable-diffusion.cpp
-STABLEDIFFUSION_GGML_VERSION?=3d6064b37ef4607917f8acf2ca8c8906d5087413
+STABLEDIFFUSION_GGML_VERSION?=c97702e1057c2fe13a7074cd9069cb9dd6edc1bf
 
 CMAKE_ARGS+=-DGGML_MAX_NAME=128
 
@@ -119,7 +119,7 @@ libgosd-fallback.so: sources/stablediffusion-ggml.cpp
 	SO_TARGET=libgosd-fallback.so CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=off -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_BMI2=off" $(MAKE) libgosd-custom
 	rm -rfv build*
 
-libgosd-custom: CMakeLists.txt cpp/gosd.cpp cpp/gosd.h
+libgosd-custom: CMakeLists.txt gosd.cpp gosd.h
 	mkdir -p build-$(SO_TARGET) && \
 	cd build-$(SO_TARGET) && \
 	cmake .. $(CMAKE_ARGS) && \

backend/go/vibevoice-cpp/CMakeLists.txt

@@ -1,71 +0,0 @@
-cmake_minimum_required(VERSION 3.18)
-project(govibevoicecpp LANGUAGES C CXX)
-set(CMAKE_POSITION_INDEPENDENT_CODE ON)
-set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
-
-set(VIBEVOICE_DIR ${CMAKE_CURRENT_SOURCE_DIR}/sources/vibevoice.cpp)
-
-# Override upstream's CMAKE_CUDA_ARCHITECTURES before add_subdirectory.
-if(NOT DEFINED CMAKE_CUDA_ARCHITECTURES)
-    set(CMAKE_CUDA_ARCHITECTURES "75-virtual;80-virtual;86-real;89-real")
-endif()
-
-# Force-disable upstream tests/examples — we only need libvibevoice.
-set(VIBEVOICE_BUILD_TESTS    OFF CACHE BOOL "" FORCE)
-set(VIBEVOICE_BUILD_EXAMPLES OFF CACHE BOOL "" FORCE)
-set(VIBEVOICE_BUILD_SERVER   OFF CACHE BOOL "" FORCE)
-
-# vibevoice.cpp's top-level CMakeLists already adds third_party/ggml as a
-# subdirectory — no need to add it explicitly here, just include the
-# whole project.
-add_subdirectory(${VIBEVOICE_DIR} vibevoice EXCLUDE_FROM_ALL)
-
-add_library(govibevoicecpp MODULE cpp/govibevoicecpp.cpp)
-
-# libvibevoice is STATIC; without --whole-archive the linker GCs the
-# vv_capi_* symbols (purego dlopens them by name, nothing in our
-# translation unit references them). Force the static archive's
-# entire contents into the MODULE so dlsym finds vv_capi_load etc.
-if(APPLE)
-    target_link_libraries(govibevoicecpp PRIVATE -Wl,-force_load $<TARGET_FILE:vibevoice>)
-elseif(MSVC)
-    target_link_libraries(govibevoicecpp PRIVATE vibevoice)
-    set_property(TARGET govibevoicecpp APPEND PROPERTY LINK_FLAGS "/WHOLEARCHIVE:vibevoice")
-else()
-    target_link_libraries(govibevoicecpp PRIVATE
-        -Wl,--whole-archive vibevoice -Wl,--no-whole-archive)
-endif()
-
-target_include_directories(govibevoicecpp PRIVATE ${VIBEVOICE_DIR}/include)
-target_include_directories(govibevoicecpp SYSTEM PRIVATE ${VIBEVOICE_DIR}/third_party/ggml/include)
-
-# Link GPU backends if available — vibevoice's own CMake already links
-# these to the libvibevoice STATIC library, but we re-link them on the
-# MODULE so resolved symbols include all backend kernels.
-foreach(backend blas cuda metal vulkan)
-    if(TARGET ggml-${backend})
-        target_link_libraries(govibevoicecpp PRIVATE ggml-${backend})
-        string(TOUPPER ${backend} BACKEND_UPPER)
-        target_compile_definitions(govibevoicecpp PRIVATE VIBEVOICE_HAVE_${BACKEND_UPPER})
-        if(backend STREQUAL "cuda")
-            find_package(CUDAToolkit QUIET)
-            if(CUDAToolkit_FOUND)
-                target_link_libraries(govibevoicecpp PRIVATE CUDA::cudart)
-            endif()
-        endif()
-    endif()
-endforeach()
-
-if(MSVC)
-    target_compile_options(govibevoicecpp PRIVATE /W4 /wd4100 /wd4505)
-else()
-    target_compile_options(govibevoicecpp PRIVATE -Wall -Wextra -Wshadow
-                          -Wno-unused-parameter -Wno-unused-function -Wno-sign-conversion)
-endif()
-
-if(CMAKE_CXX_COMPILER_ID MATCHES "GNU" AND CMAKE_CXX_COMPILER_VERSION VERSION_LESS 9.0)
-    target_link_libraries(govibevoicecpp PRIVATE stdc++fs)
-endif()
-
-set_property(TARGET govibevoicecpp PROPERTY CXX_STANDARD 17)
-set_target_properties(govibevoicecpp PROPERTIES LIBRARY_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR})

backend/go/vibevoice-cpp/Makefile

@@ -1,128 +0,0 @@
-CMAKE_ARGS?=
-BUILD_TYPE?=
-NATIVE?=false
-
-GOCMD?=go
-GO_TAGS?=
-JOBS?=$(shell nproc --ignore=1)
-
-# vibevoice.cpp version
-VIBEVOICE_REPO?=https://github.com/mudler/vibevoice.cpp
-VIBEVOICE_CPP_VERSION?=master
-SO_TARGET?=libgovibevoicecpp.so
-
-CMAKE_ARGS+=-DBUILD_SHARED_LIBS=OFF
-CMAKE_ARGS+=-DVIBEVOICE_BUILD_TESTS=OFF
-CMAKE_ARGS+=-DVIBEVOICE_BUILD_EXAMPLES=OFF
-
-ifeq ($(NATIVE),false)
-	CMAKE_ARGS+=-DGGML_NATIVE=OFF
-endif
-
-ifeq ($(BUILD_TYPE),cublas)
-	CMAKE_ARGS+=-DGGML_CUDA=ON -DVIBEVOICE_GGML_CUDA=ON
-else ifeq ($(BUILD_TYPE),openblas)
-	CMAKE_ARGS+=-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
-else ifeq ($(BUILD_TYPE),clblas)
-	CMAKE_ARGS+=-DGGML_CLBLAST=ON -DCLBlast_DIR=/some/path
-else ifeq ($(BUILD_TYPE),hipblas)
-	CMAKE_ARGS+=-DGGML_HIPBLAS=ON -DVIBEVOICE_GGML_HIPBLAS=ON
-else ifeq ($(BUILD_TYPE),vulkan)
-	CMAKE_ARGS+=-DGGML_VULKAN=ON -DVIBEVOICE_GGML_VULKAN=ON
-else ifeq ($(OS),Darwin)
-	ifneq ($(BUILD_TYPE),metal)
-		CMAKE_ARGS+=-DGGML_METAL=OFF
-	else
-		CMAKE_ARGS+=-DGGML_METAL=ON -DVIBEVOICE_GGML_METAL=ON
-		CMAKE_ARGS+=-DGGML_METAL_EMBED_LIBRARY=ON
-	endif
-endif
-
-ifeq ($(BUILD_TYPE),sycl_f16)
-	CMAKE_ARGS+=-DGGML_SYCL=ON \
-		-DCMAKE_C_COMPILER=icx \
-		-DCMAKE_CXX_COMPILER=icpx \
-		-DGGML_SYCL_F16=ON
-endif
-
-ifeq ($(BUILD_TYPE),sycl_f32)
-	CMAKE_ARGS+=-DGGML_SYCL=ON \
-		-DCMAKE_C_COMPILER=icx \
-		-DCMAKE_CXX_COMPILER=icpx
-endif
-
-sources/vibevoice.cpp:
-	mkdir -p sources/vibevoice.cpp
-	cd sources/vibevoice.cpp && \
-	git init && \
-	git remote add origin $(VIBEVOICE_REPO) && \
-	git fetch origin && \
-	git checkout $(VIBEVOICE_CPP_VERSION) && \
-	git submodule update --init --recursive --depth 1 --single-branch
-
-# Detect OS
-UNAME_S := $(shell uname -s)
-
-# Only build CPU variants on Linux
-ifeq ($(UNAME_S),Linux)
-	VARIANT_TARGETS = libgovibevoicecpp-avx.so libgovibevoicecpp-avx2.so libgovibevoicecpp-avx512.so libgovibevoicecpp-fallback.so
-else
-	# On non-Linux (e.g., Darwin), build only fallback variant
-	VARIANT_TARGETS = libgovibevoicecpp-fallback.so
-endif
-
-vibevoice-cpp: main.go govibevoicecpp.go $(VARIANT_TARGETS)
-	CGO_ENABLED=0 $(GOCMD) build -tags "$(GO_TAGS)" -o vibevoice-cpp ./
-
-package: vibevoice-cpp
-	bash package.sh
-
-build: package
-
-clean: purge
-	rm -rf libgovibevoicecpp*.so package sources/vibevoice.cpp vibevoice-cpp
-
-purge:
-	rm -rf build*
-
-# Variants must build sequentially
-.NOTPARALLEL:
-
-# Build all variants (Linux only)
-ifeq ($(UNAME_S),Linux)
-libgovibevoicecpp-avx.so: sources/vibevoice.cpp
-	$(info ${GREEN}I vibevoice-cpp build info:avx${RESET})
-	SO_TARGET=libgovibevoicecpp-avx.so CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_BMI2=off" $(MAKE) libgovibevoicecpp-custom
-	rm -rf build-libgovibevoicecpp-avx.so
-
-libgovibevoicecpp-avx2.so: sources/vibevoice.cpp
-	$(info ${GREEN}I vibevoice-cpp build info:avx2${RESET})
-	SO_TARGET=libgovibevoicecpp-avx2.so CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=on -DGGML_AVX512=off -DGGML_FMA=on -DGGML_F16C=on -DGGML_BMI2=on" $(MAKE) libgovibevoicecpp-custom
-	rm -rf build-libgovibevoicecpp-avx2.so
-
-libgovibevoicecpp-avx512.so: sources/vibevoice.cpp
-	$(info ${GREEN}I vibevoice-cpp build info:avx512${RESET})
-	SO_TARGET=libgovibevoicecpp-avx512.so CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=on -DGGML_AVX2=on -DGGML_AVX512=on -DGGML_FMA=on -DGGML_F16C=on -DGGML_BMI2=on" $(MAKE) libgovibevoicecpp-custom
-	rm -rf build-libgovibevoicecpp-avx512.so
-endif
-
-# Build fallback variant (all platforms)
-libgovibevoicecpp-fallback.so: sources/vibevoice.cpp
-	$(info ${GREEN}I vibevoice-cpp build info:fallback${RESET})
-	SO_TARGET=libgovibevoicecpp-fallback.so CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=off -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_BMI2=off" $(MAKE) libgovibevoicecpp-custom
-	rm -rf build-libgovibevoicecpp-fallback.so
-
-libgovibevoicecpp-custom: CMakeLists.txt cpp/govibevoicecpp.cpp cpp/govibevoicecpp.h
-	mkdir -p build-$(SO_TARGET) && \
-	cd build-$(SO_TARGET) && \
-	cmake .. $(CMAKE_ARGS) && \
-	cmake --build . --config Release -j$(JOBS) --target govibevoicecpp && \
-	cd .. && \
-	mv build-$(SO_TARGET)/libgovibevoicecpp.so ./$(SO_TARGET)
-
-test: vibevoice-cpp
-	@echo "Running vibevoice-cpp tests..."
-	bash test.sh
-	@echo "vibevoice-cpp tests completed."
-
-all: vibevoice-cpp package

backend/go/vibevoice-cpp/cpp/govibevoicecpp.cpp

@@ -1,41 +0,0 @@
-// vibevoice.cpp ships its purego-friendly ABI in vibevoice_capi.h.
-// This translation unit is intentionally tiny: pulling in the header
-// (and linking libvibevoice PRIVATE in CMake) is enough to make the
-// vv_capi_* symbols visible from the produced MODULE library.
-//
-// We do install a ggml log redirect so backend logs land on the gRPC
-// server's stderr — same pattern as backend/go/qwen3-tts-cpp/cpp/.
-
-#include "govibevoicecpp.h"
-
-#include "ggml.h"
-#include "ggml-backend.h"
-
-#include <cstdio>
-
-namespace {
-
-void govibevoice_log_cb(enum ggml_log_level level, const char* msg, void* /*ud*/) {
-    if (!msg) return;
-    const char* tag = "?????";
-    switch (level) {
-    case GGML_LOG_LEVEL_DEBUG: tag = "DEBUG"; break;
-    case GGML_LOG_LEVEL_INFO:  tag = "INFO";  break;
-    case GGML_LOG_LEVEL_WARN:  tag = "WARN";  break;
-    case GGML_LOG_LEVEL_ERROR: tag = "ERROR"; break;
-    default: break;
-    }
-    std::fprintf(stderr, "[%-5s] %s", tag, msg);
-    std::fflush(stderr);
-}
-
-struct LogInstaller {
-    LogInstaller() {
-        ggml_log_set(govibevoice_log_cb, nullptr);
-        ggml_backend_load_all();
-    }
-};
-
-LogInstaller g_install;
-
-}  // namespace

backend/go/vibevoice-cpp/cpp/govibevoicecpp.h

@@ -1,7 +0,0 @@
-#pragma once
-
-// Re-exports the vibevoice.cpp flat C ABI so this MODULE library
-// resolves the same symbols that purego.RegisterLibFunc looks up by
-// name. The actual definitions live in libvibevoice (linked PRIVATE).
-
-#include "vibevoice_capi.h"

backend/go/vibevoice-cpp/govibevoicecpp.go

@@ -1,387 +0,0 @@
-package main
-
-import (
-	"encoding/json"
-	"fmt"
-	"os"
-	"path/filepath"
-	"strings"
-
-	laudio "github.com/mudler/LocalAI/pkg/audio"
-	"github.com/mudler/LocalAI/pkg/grpc/base"
-	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
-)
-
-// vibevoice.cpp synthesizes 24 kHz mono 16-bit PCM. Hardcoded - the
-// model itself is fixed-rate; if the upstream ever changes this we'll
-// pick it up via vv_capi_version().
-const vibevoiceSampleRate = uint32(24000)
-
-// purego-bound entry points from libgovibevoicecpp.
-var (
-	CppLoad func(ttsModel, asrModel, tokenizer, voice string, threads int32) int32
-	CppTTS  func(text, voicePath, dstWav string,
-		nSteps int32, cfgScale float32, maxSpeechFrames int32, seed uint32) int32
-	CppASR func(srcWav string, outJSON []byte, capacity uint64,
-		maxNewTokens int32) int32
-	CppUnload  func()
-	CppVersion func() string
-)
-
-// VibevoiceCpp speaks gRPC against vibevoice.cpp's flat C ABI. The
-// engine is a single global, so we serialize calls through SingleThread.
-type VibevoiceCpp struct {
-	base.SingleThread
-	threads int
-
-	// modelRoot is the directory we use to resolve relative paths
-	// from Options[] and per-call overrides (TTSRequest.Voice).
-	// Source of truth: opts.ModelPath; falls back to the dir of
-	// the primary ModelFile when ModelPath is empty.
-	modelRoot string
-
-	ttsModel  string
-	asrModel  string
-	tokenizer string
-	voice     string
-}
-
-// resolvePath joins a relative path onto `relTo`. The gallery
-// convention is that Options[] carry paths relative to the LocalAI
-// models dir (opts.ModelPath), so anything not absolute is treated
-// as a sibling of the primary ModelFile - never CWD. Empty / already-
-// absolute / no-relTo inputs pass through unchanged.
-func resolvePath(p, relTo string) string {
-	if p == "" || filepath.IsAbs(p) || relTo == "" {
-		return p
-	}
-	return filepath.Join(relTo, p)
-}
-
-// parseOptions reads opts.Options[] and pulls out the per-role
-// overrides documented in the gallery entries. Accepts both "key=value"
-// (gallery YAML style) and "key:value" (Make-target / env-var style).
-func (v *VibevoiceCpp) parseOptions(opts []string, relTo string) string {
-	role := ""
-	for _, raw := range opts {
-		k, val, ok := strings.Cut(raw, "=")
-		if !ok {
-			k, val, ok = strings.Cut(raw, ":")
-			if !ok {
-				continue
-			}
-		}
-		key := strings.TrimSpace(k)
-		val = strings.TrimSpace(val)
-		switch key {
-		case "type":
-			role = strings.ToLower(val)
-		case "tokenizer":
-			v.tokenizer = resolvePath(val, relTo)
-		case "voice":
-			v.voice = resolvePath(val, relTo)
-		case "tts_model":
-			v.ttsModel = resolvePath(val, relTo)
-		case "asr_model":
-			v.asrModel = resolvePath(val, relTo)
-		}
-	}
-	return role
-}
-
-func (v *VibevoiceCpp) Load(opts *pb.ModelOptions) error {
-	if opts.ModelFile == "" {
-		return fmt.Errorf("vibevoice-cpp: ModelFile is required")
-	}
-	modelFile := opts.ModelFile
-	if !filepath.IsAbs(modelFile) && opts.ModelPath != "" {
-		modelFile = filepath.Join(opts.ModelPath, modelFile)
-	}
-
-	// ModelPath is the LocalAI core's models root, propagated over
-	// gRPC. Use it as the resolution base for Options[] (and later
-	// for TTSRequest.Voice) so gallery entries can reference paths
-	// like "tokenizer=tokenizer.gguf" and have them resolved
-	// against the same root the core used to drop the files.
-	v.modelRoot = opts.ModelPath
-	if v.modelRoot == "" {
-		v.modelRoot = filepath.Dir(modelFile)
-	}
-	role := v.parseOptions(opts.Options, v.modelRoot)
-
-	// ModelFile fills the "primary" role-slot determined by `type=`
-	// in Options (defaults to tts). The other slot stays exactly as
-	// Options set it - so a closed-loop config with ModelFile=tts.gguf
-	// + Options[asr_model=asr.gguf] resolves correctly to both slots,
-	// and an explicit `tts_model=` / `asr_model=` always wins over
-	// ModelFile for its own slot.
-	primaryIsASR := false
-	switch role {
-	case "asr", "transcript", "stt", "speech-to-text":
-		primaryIsASR = true
-	}
-	if primaryIsASR {
-		if v.asrModel == "" {
-			v.asrModel = modelFile
-		}
-	} else if v.ttsModel == "" {
-		v.ttsModel = modelFile
-	}
-
-	if v.ttsModel == "" && v.asrModel == "" {
-		return fmt.Errorf("vibevoice-cpp: no TTS or ASR model resolved from ModelFile=%q + options", opts.ModelFile)
-	}
-	if v.tokenizer == "" {
-		return fmt.Errorf("vibevoice-cpp: tokenizer is required - pass options: [tokenizer=<path>]")
-	}
-
-	threads := int(opts.Threads)
-	if threads <= 0 {
-		threads = 4
-	}
-	v.threads = threads
-
-	fmt.Fprintf(os.Stderr,
-		"[vibevoice-cpp] Loading: tts=%q asr=%q tokenizer=%q voice=%q threads=%d\n",
-		v.ttsModel, v.asrModel, v.tokenizer, v.voice, threads)
-
-	if rc := CppLoad(v.ttsModel, v.asrModel, v.tokenizer, v.voice, int32(threads)); rc != 0 {
-		return fmt.Errorf("vibevoice-cpp: vv_capi_load failed (rc=%d)", rc)
-	}
-	return nil
-}
-
-func (v *VibevoiceCpp) TTS(req *pb.TTSRequest) error {
-	if v.ttsModel == "" {
-		return fmt.Errorf("vibevoice-cpp: TTS requested but no realtime model was loaded")
-	}
-	text := req.Text
-	dst := req.Dst
-	if text == "" || dst == "" {
-		return fmt.Errorf("vibevoice-cpp: TTS requires both text and dst")
-	}
-
-	// req.Voice may be a bare filename (e.g. "voice-en-Emma.gguf") or an
-	// absolute path. Resolve via the same modelRoot Load() used for
-	// Options[] so a swap-voice request mirrors the gallery's layout.
-	voice := resolvePath(req.Voice, v.modelRoot)
-
-	if req.Language != nil && *req.Language != "" {
-		fmt.Fprintf(os.Stderr,
-			"[vibevoice-cpp] note: TTSRequest.language=%q ignored - vibevoice picks language from the voice prompt\n",
-			*req.Language)
-	}
-
-	const (
-		defaultSteps     = 20
-		defaultMaxFrames = 200
-	)
-	defaultCfg := float32(1.3)
-	if rc := CppTTS(text, voice, dst,
-		int32(defaultSteps), defaultCfg, int32(defaultMaxFrames), 0); rc != 0 {
-		return fmt.Errorf("vibevoice-cpp: vv_capi_tts failed (rc=%d)", rc)
-	}
-	return nil
-}
-
-// asrSegment matches vibevoice's JSON output:
-//
-//	[{"Start":0.0,"End":2.8,"Speaker":0,"Content":"…"}, ...]
-type asrSegment struct {
-	Start   float64 `json:"Start"`
-	End     float64 `json:"End"`
-	Speaker int     `json:"Speaker"`
-	Content string  `json:"Content"`
-}
-
-// callASR invokes vv_capi_asr with a buffer that grows on demand.
-// vv_capi_asr returns: >0 bytes written, 0 no transcript, <0 error or
-// -required_size. We honor the resize protocol once before giving up.
-func (v *VibevoiceCpp) callASR(srcWav string, maxNewTokens int32) (string, error) {
-	const startCap = 256 * 1024
-	buf := make([]byte, startCap)
-	rc := CppASR(srcWav, buf, uint64(len(buf)), maxNewTokens)
-	if rc < 0 {
-		need := -int(rc)
-		if need > 0 && need < (16<<20) && need > len(buf) {
-			buf = make([]byte, need+64)
-			rc = CppASR(srcWav, buf, uint64(len(buf)), maxNewTokens)
-		}
-	}
-	if rc < 0 {
-		return "", fmt.Errorf("vibevoice-cpp: vv_capi_asr failed (rc=%d)", rc)
-	}
-	if rc == 0 {
-		return "", nil
-	}
-	return string(buf[:rc]), nil
-}
-
-// TTSStream is the streaming counterpart to TTS. vibevoice's C ABI is
-// file-only (vv_capi_tts writes a complete WAV), so we synthesize to
-// a tempfile, then emit a streaming-WAV header followed by the PCM
-// body in chunks. The main reason this exists at all is the gRPC
-// server wrapper (pkg/grpc/server.go:TTSStream) blocks on a channel
-// that only this method can close - if we leave the default Base
-// stub in place, every TTSStream call hangs until the client
-// deadline.
-func (v *VibevoiceCpp) TTSStream(req *pb.TTSRequest, results chan []byte) error {
-	defer close(results)
-	if v.ttsModel == "" {
-		return fmt.Errorf("vibevoice-cpp: TTSStream requested but no realtime model was loaded")
-	}
-	if req.Text == "" {
-		return fmt.Errorf("vibevoice-cpp: TTSStream requires text")
-	}
-
-	tmp, err := os.CreateTemp("", "vibevoice-cpp-stream-*.wav")
-	if err != nil {
-		return fmt.Errorf("vibevoice-cpp: tempfile: %w", err)
-	}
-	dst := tmp.Name()
-	_ = tmp.Close()
-	defer func() { _ = os.Remove(dst) }()
-
-	if err := v.TTS(&pb.TTSRequest{
-		Text:     req.Text,
-		Voice:    req.Voice,
-		Dst:      dst,
-		Language: req.Language,
-	}); err != nil {
-		return err
-	}
-
-	wav, err := os.ReadFile(dst)
-	if err != nil {
-		return fmt.Errorf("vibevoice-cpp: read tempfile: %w", err)
-	}
-
-	// Streaming WAV header: declare 0xFFFFFFFF for chunk sizes so HTTP
-	// clients can start playback before they see the full PCM.
-	const streamingSize = 0xFFFFFFFF
-	hdr := laudio.NewWAVHeaderWithRate(streamingSize, vibevoiceSampleRate)
-	hdr.ChunkSize = streamingSize
-	hdrBuf := make([]byte, 0, laudio.WAVHeaderSize)
-	w := newByteWriter(&hdrBuf)
-	if err := hdr.Write(w); err != nil {
-		return fmt.Errorf("vibevoice-cpp: write WAV header: %w", err)
-	}
-	results <- hdrBuf
-
-	// PCM body: send in ~64 KB slices so the client gets multiple
-	// reply chunks (e2e harness asserts >=2 frames).
-	pcm := laudio.StripWAVHeader(wav)
-	const chunkBytes = 64 * 1024
-	for off := 0; off < len(pcm); off += chunkBytes {
-		end := off + chunkBytes
-		if end > len(pcm) {
-			end = len(pcm)
-		}
-		chunk := make([]byte, end-off)
-		copy(chunk, pcm[off:end])
-		results <- chunk
-	}
-	return nil
-}
-
-// byteWriter adapts a *[]byte to io.Writer so we can hand it to
-// laudio.WAVHeader.Write without allocating a bytes.Buffer.
-type byteWriter struct{ buf *[]byte }
-
-func newByteWriter(b *[]byte) *byteWriter { return &byteWriter{buf: b} }
-func (w *byteWriter) Write(p []byte) (int, error) {
-	*w.buf = append(*w.buf, p...)
-	return len(p), nil
-}
-
-func (v *VibevoiceCpp) AudioTranscription(req *pb.TranscriptRequest) (pb.TranscriptResult, error) {
-	if v.asrModel == "" {
-		return pb.TranscriptResult{}, fmt.Errorf("vibevoice-cpp: AudioTranscription requested but no ASR model was loaded")
-	}
-	if req.Dst == "" {
-		return pb.TranscriptResult{}, fmt.Errorf("vibevoice-cpp: TranscriptRequest.dst (audio path) is required")
-	}
-
-	out, err := v.callASR(req.Dst, 0)
-	if err != nil {
-		return pb.TranscriptResult{}, err
-	}
-	if out == "" {
-		return pb.TranscriptResult{}, nil
-	}
-
-	var segs []asrSegment
-	if err := json.Unmarshal([]byte(out), &segs); err != nil {
-		fmt.Fprintf(os.Stderr,
-			"[vibevoice-cpp] WARNING: vv_capi_asr returned non-JSON, falling back to single segment: %v\n", err)
-		return pb.TranscriptResult{
-			Segments: []*pb.TranscriptSegment{{Id: 0, Text: strings.TrimSpace(out)}},
-			Text:     strings.TrimSpace(out),
-		}, nil
-	}
-
-	segments := make([]*pb.TranscriptSegment, 0, len(segs))
-	parts := make([]string, 0, len(segs))
-	var duration float32
-	for i, s := range segs {
-		// LocalAI's whisper backend uses int64 100ns ticks for
-		// Start/End (seconds * 1e7); follow the same convention so
-		// consumers can mix vibevoice and whisper transcripts.
-		segments = append(segments, &pb.TranscriptSegment{
-			Id:      int32(i),
-			Text:    s.Content,
-			Start:   int64(s.Start * 1e7),
-			End:     int64(s.End * 1e7),
-			Speaker: fmt.Sprintf("%d", s.Speaker),
-		})
-		parts = append(parts, strings.TrimSpace(s.Content))
-		if float32(s.End) > duration {
-			duration = float32(s.End)
-		}
-	}
-	return pb.TranscriptResult{
-		Segments: segments,
-		Text:     strings.TrimSpace(strings.Join(parts, " ")),
-		Duration: duration,
-	}, nil
-}
-
-// AudioTranscriptionStream wraps AudioTranscription so the streaming
-// gRPC endpoint (server.go:AudioTranscriptionStream) sees its channel
-// close and the client doesn't sit waiting until deadline. vibevoice's
-// ASR doesn't expose token-level streaming - vv_capi_asr decodes the
-// whole audio and returns a JSON segment list - so we run the offline
-// transcription, emit each segment's content as a delta, then close
-// with a final_result whose Text equals the concatenated deltas (the
-// e2e harness asserts those match).
-func (v *VibevoiceCpp) AudioTranscriptionStream(req *pb.TranscriptRequest, results chan *pb.TranscriptStreamResponse) error {
-	defer close(results)
-	res, err := v.AudioTranscription(req)
-	if err != nil {
-		return err
-	}
-	var assembled strings.Builder
-	for _, seg := range res.Segments {
-		if seg == nil {
-			continue
-		}
-		txt := strings.TrimSpace(seg.Text)
-		if txt == "" {
-			continue
-		}
-		delta := txt
-		if assembled.Len() > 0 {
-			delta = " " + txt
-		}
-		results <- &pb.TranscriptStreamResponse{Delta: delta}
-		assembled.WriteString(delta)
-	}
-	final := pb.TranscriptResult{
-		Segments: res.Segments,
-		Duration: res.Duration,
-		Language: res.Language,
-		Text:     assembled.String(),
-	}
-	results <- &pb.TranscriptStreamResponse{FinalResult: &final}
-	return nil
-}

backend/go/vibevoice-cpp/main.go

@@ -1,49 +0,0 @@
-package main
-
-// Started internally by LocalAI - one gRPC server per loaded model.
-import (
-	"flag"
-	"os"
-
-	"github.com/ebitengine/purego"
-	grpc "github.com/mudler/LocalAI/pkg/grpc"
-)
-
-var (
-	addr = flag.String("addr", "localhost:50051", "the address to connect to")
-)
-
-type LibFuncs struct {
-	FuncPtr any
-	Name    string
-}
-
-func main() {
-	libName := os.Getenv("VIBEVOICECPP_LIBRARY")
-	if libName == "" {
-		libName = "./libgovibevoicecpp-fallback.so"
-	}
-
-	lib, err := purego.Dlopen(libName, purego.RTLD_NOW|purego.RTLD_GLOBAL)
-	if err != nil {
-		panic(err)
-	}
-
-	libFuncs := []LibFuncs{
-		{&CppLoad, "vv_capi_load"},
-		{&CppTTS, "vv_capi_tts"},
-		{&CppASR, "vv_capi_asr"},
-		{&CppUnload, "vv_capi_unload"},
-		{&CppVersion, "vv_capi_version"},
-	}
-
-	for _, lf := range libFuncs {
-		purego.RegisterLibFunc(lf.FuncPtr, lib, lf.Name)
-	}
-
-	flag.Parse()
-
-	if err := grpc.StartServer(*addr, &VibevoiceCpp{}); err != nil {
-		panic(err)
-	}
-}

backend/go/vibevoice-cpp/run.sh

@@ -1,49 +0,0 @@
-#!/bin/bash
-set -ex
-
-CURDIR=$(dirname "$(realpath $0)")
-
-cd /
-
-echo "CPU info:"
-if [ "$(uname)" != "Darwin" ]; then
-	grep -e "model\sname" /proc/cpuinfo | head -1
-	grep -e "flags" /proc/cpuinfo | head -1
-fi
-
-LIBRARY="$CURDIR/libgovibevoicecpp-fallback.so"
-
-if [ "$(uname)" != "Darwin" ]; then
-	if grep -q -e "\savx\s" /proc/cpuinfo ; then
-		echo "CPU:    AVX    found OK"
-		if [ -e $CURDIR/libgovibevoicecpp-avx.so ]; then
-			LIBRARY="$CURDIR/libgovibevoicecpp-avx.so"
-		fi
-	fi
-
-	if grep -q -e "\savx2\s" /proc/cpuinfo ; then
-		echo "CPU:    AVX2   found OK"
-		if [ -e $CURDIR/libgovibevoicecpp-avx2.so ]; then
-			LIBRARY="$CURDIR/libgovibevoicecpp-avx2.so"
-		fi
-	fi
-
-	if grep -q -e "\savx512f\s" /proc/cpuinfo ; then
-		echo "CPU:    AVX512F found OK"
-		if [ -e $CURDIR/libgovibevoicecpp-avx512.so ]; then
-			LIBRARY="$CURDIR/libgovibevoicecpp-avx512.so"
-		fi
-	fi
-fi
-
-export LD_LIBRARY_PATH=$CURDIR/lib:$LD_LIBRARY_PATH
-export VIBEVOICECPP_LIBRARY=$LIBRARY
-
-if [ -f $CURDIR/lib/ld.so ]; then
-	echo "Using lib/ld.so"
-	echo "Using library: $LIBRARY"
-	exec $CURDIR/lib/ld.so $CURDIR/vibevoice-cpp "$@"
-fi
-
-echo "Using library: $LIBRARY"
-exec $CURDIR/vibevoice-cpp "$@"

backend/go/vibevoice-cpp/test.sh

@@ -1,74 +0,0 @@
-#!/bin/bash
-set -e
-
-CURDIR=$(dirname "$(realpath $0)")
-
-echo "Running vibevoice-cpp backend tests..."
-
-# Required env-vars (set automatically when missing):
-#   VIBEVOICE_MODEL_DIR : directory containing the gguf bundle.
-#   VIBEVOICE_BINARY    : path to the built backend (default ./vibevoice-cpp)
-#
-# Tests skip when the model bundle is absent and the auto-download
-# fails (e.g. no network on the runner) so local devs without HF access
-# still get green compile output.
-
-cd "$CURDIR"
-
-if [ -z "$VIBEVOICE_MODEL_DIR" ]; then
-    export VIBEVOICE_MODEL_DIR="./vibevoice-models"
-
-    if [ ! -d "$VIBEVOICE_MODEL_DIR" ]; then
-        echo "Creating vibevoice-models directory for tests..."
-        mkdir -p "$VIBEVOICE_MODEL_DIR"
-
-        REPO_ID="mudler/vibevoice.cpp-models"
-        echo "Repository: ${REPO_ID}"
-
-        # Q4_K instead of Q8_0 for the ASR model: smaller download
-        # (10 GB vs 14 GB), fits on ubuntu-latest's free disk after the
-        # runner image is loaded. The unit/closed-loop test only needs
-        # decode quality, not Q8_0 precision.
-        FILES=(
-            "vibevoice-realtime-0.5B-q8_0.gguf"
-            "vibevoice-asr-q4_k.gguf"
-            "tokenizer.gguf"
-            "voice-en-Carter_man.gguf"
-        )
-
-        BASE_URL="https://huggingface.co/${REPO_ID}/resolve/main"
-
-        download_ok=1
-        for file in "${FILES[@]}"; do
-            dest="${VIBEVOICE_MODEL_DIR}/${file}"
-            if [ -f "${dest}" ]; then
-                echo "  [skip] ${file} (already exists)"
-            else
-                echo "  [download] ${file}..."
-                if ! curl -fL -o "${dest}" "${BASE_URL}/${file}" --progress-bar; then
-                    echo "  [warn] failed to download ${file} - network or HF unavailable"
-                    rm -f "${dest}"
-                    download_ok=0
-                    break
-                fi
-                echo "  [done] ${file}"
-            fi
-        done
-
-        if [ "$download_ok" != "1" ]; then
-            echo "vibevoice-cpp: model bundle unavailable - tests will skip model-dependent cases."
-            unset VIBEVOICE_MODEL_DIR
-        fi
-    fi
-fi
-
-# Ensure the per-variant .so the binary will dlopen actually exists -
-# without one, every test will hit a Dlopen panic during server start.
-if [ ! -f "${CURDIR}/libgovibevoicecpp-fallback.so" ]; then
-    echo "vibevoice-cpp: libgovibevoicecpp-fallback.so missing - run \`make\` first."
-    exit 1
-fi
-
-go test -v -timeout 900s .
-
-echo "All vibevoice-cpp tests passed."

backend/go/vibevoice-cpp/vibevoicecpp_test.go

@@ -1,382 +0,0 @@
-package main
-
-import (
-	"context"
-	"os"
-	"os/exec"
-	"path/filepath"
-	"regexp"
-	"strings"
-	"testing"
-	"time"
-
-	pb "github.com/mudler/LocalAI/pkg/grpc/proto"
-	. "github.com/onsi/ginkgo/v2"
-	. "github.com/onsi/gomega"
-	"google.golang.org/grpc"
-	"google.golang.org/grpc/credentials/insecure"
-)
-
-const (
-	testAddr    = "localhost:50098"
-	startupWait = 5 * time.Second
-)
-
-func TestVibevoiceCpp(t *testing.T) {
-	RegisterFailHandler(Fail)
-	RunSpecs(t, "VibeVoice-cpp Backend Suite")
-}
-
-// modelDirOrSkip returns the staged model bundle dir, or Skip()s the
-// current spec when VIBEVOICE_MODEL_DIR is unset / lacks the gguf
-// files we need. Tests that don't depend on a model (Locking, error
-// paths) don't call this.
-func modelDirOrSkip() string {
-	dir := os.Getenv("VIBEVOICE_MODEL_DIR")
-	if dir == "" {
-		Skip("VIBEVOICE_MODEL_DIR not set, skipping model-dependent specs")
-	}
-	if _, err := os.Stat(filepath.Join(dir, "tokenizer.gguf")); os.IsNotExist(err) {
-		Skip("tokenizer.gguf missing in " + dir)
-	}
-	tts, _ := filepath.Glob(filepath.Join(dir, "vibevoice-realtime-*.gguf"))
-	asr, _ := filepath.Glob(filepath.Join(dir, "vibevoice-asr-*.gguf"))
-	if len(tts) == 0 && len(asr) == 0 {
-		Skip("neither realtime TTS nor ASR gguf found in " + dir)
-	}
-	return dir
-}
-
-// startServer launches the prebuilt backend binary and returns a
-// running *exec.Cmd. test.sh ensures `./vibevoice-cpp` is built; if
-// it isn't, every gRPC spec is skipped with a clear reason.
-func startServer() *exec.Cmd {
-	binary := os.Getenv("VIBEVOICE_BINARY")
-	if binary == "" {
-		binary = "./vibevoice-cpp"
-	}
-	if _, err := os.Stat(binary); os.IsNotExist(err) {
-		Skip("backend binary not found at " + binary)
-	}
-	cmd := exec.Command(binary, "--addr", testAddr)
-	cmd.Stdout = os.Stderr
-	cmd.Stderr = os.Stderr
-	Expect(cmd.Start()).To(Succeed())
-	time.Sleep(startupWait)
-	return cmd
-}
-
-func stopServer(cmd *exec.Cmd) {
-	if cmd == nil || cmd.Process == nil {
-		return
-	}
-	_ = cmd.Process.Kill()
-	_, _ = cmd.Process.Wait()
-}
-
-func dialGRPC() *grpc.ClientConn {
-	conn, err := grpc.Dial(testAddr,
-		grpc.WithTransportCredentials(insecure.NewCredentials()),
-		grpc.WithDefaultCallOptions(
-			grpc.MaxCallRecvMsgSize(50*1024*1024),
-			grpc.MaxCallSendMsgSize(50*1024*1024),
-		),
-	)
-	Expect(err).ToNot(HaveOccurred())
-	return conn
-}
-
-var _ = Describe("VibeVoice-cpp", func() {
-	Context("backend semantics (no purego load needed)", func() {
-		It("is locking - the engine has process-global state", func() {
-			Expect((&VibevoiceCpp{}).Locking()).To(BeTrue())
-		})
-
-		It("rejects Load with empty ModelFile", func() {
-			err := (&VibevoiceCpp{}).Load(&pb.ModelOptions{})
-			Expect(err).To(HaveOccurred())
-			Expect(err.Error()).To(ContainSubstring("ModelFile"))
-		})
-
-		It("rejects TTS without a loaded TTS model", func() {
-			err := (&VibevoiceCpp{}).TTS(&pb.TTSRequest{
-				Text: "no model loaded",
-				Dst:  "/tmp/should-not-be-written.wav",
-			})
-			Expect(err).To(HaveOccurred())
-		})
-
-		It("rejects AudioTranscription without a loaded ASR model", func() {
-			_, err := (&VibevoiceCpp{}).AudioTranscription(&pb.TranscriptRequest{
-				Dst: "/tmp/some.wav",
-			})
-			Expect(err).To(HaveOccurred())
-		})
-
-		It("closes the channel and errors on TTSStream without a loaded model", func() {
-			ch := make(chan []byte, 4)
-			err := (&VibevoiceCpp{}).TTSStream(&pb.TTSRequest{
-				Text: "no model loaded",
-				Dst:  "/tmp/should-not-be-written.wav",
-			}, ch)
-			Expect(err).To(HaveOccurred())
-			// Server hangs forever if the channel stays open; this guard
-			// is what regresses the e2e DeadlineExceeded we're fixing.
-			_, ok := <-ch
-			Expect(ok).To(BeFalse(), "TTSStream must close results channel even on error")
-		})
-
-		// parseOptions + slot fill is the source of the closed-loop CI
-		// regression where ModelFile=tts.gguf + Options[asr_model=...]
-		// resulted in a load with empty tts slot. These specs assert
-		// the slot resolution before we ever call into purego.
-		Describe("ModelFile slot resolution", func() {
-			It("fills tts slot from ModelFile when only asr_model is in Options", func() {
-				v := &VibevoiceCpp{}
-				v.modelRoot = "/abs/root"
-				role := v.parseOptions([]string{"asr_model=/abs/root/asr.gguf", "tokenizer=/abs/root/tokenizer.gguf"}, v.modelRoot)
-				Expect(v.asrModel).To(Equal("/abs/root/asr.gguf"))
-				Expect(v.ttsModel).To(BeEmpty())
-				Expect(role).To(BeEmpty())
-				// Mirror the Load() default-fill block:
-				if v.ttsModel == "" {
-					v.ttsModel = "/abs/root/tts.gguf"
-				}
-				Expect(v.ttsModel).To(Equal("/abs/root/tts.gguf"))
-				Expect(v.asrModel).To(Equal("/abs/root/asr.gguf"))
-			})
-
-			It("fills asr slot from ModelFile when type=asr is set", func() {
-				v := &VibevoiceCpp{}
-				v.modelRoot = "/abs/root"
-				role := v.parseOptions([]string{"type=asr", "tokenizer=/abs/root/tokenizer.gguf"}, v.modelRoot)
-				Expect(role).To(Equal("asr"))
-				Expect(v.asrModel).To(BeEmpty())
-				Expect(v.ttsModel).To(BeEmpty())
-			})
-
-			It("respects explicit tts_model override over ModelFile", func() {
-				v := &VibevoiceCpp{}
-				v.modelRoot = "/abs/root"
-				_ = v.parseOptions([]string{"tts_model=/abs/root/alt.gguf"}, v.modelRoot)
-				Expect(v.ttsModel).To(Equal("/abs/root/alt.gguf"))
-			})
-
-			It("accepts colon-separated options too", func() {
-				v := &VibevoiceCpp{}
-				v.modelRoot = "/abs/root"
-				role := v.parseOptions([]string{"type:asr", "tokenizer:/abs/root/tokenizer.gguf"}, v.modelRoot)
-				Expect(role).To(Equal("asr"))
-				Expect(v.tokenizer).To(Equal("/abs/root/tokenizer.gguf"))
-			})
-		})
-
-		// The gallery flow puts everything under <models_dir>/<entry>/,
-		// and parameters/options carry paths *relative* to <models_dir>.
-		// LocalAI core fills opts.ModelPath = <models_dir>; the backend
-		// must resolve every relative path against that root, never CWD.
-		Describe("resolvePath (relative-to-modelRoot)", func() {
-			It("joins relative path onto relTo", func() {
-				Expect(resolvePath("vibevoice-cpp/tokenizer.gguf", "/data/models")).
-					To(Equal("/data/models/vibevoice-cpp/tokenizer.gguf"))
-			})
-
-			It("passes absolute paths through unchanged", func() {
-				Expect(resolvePath("/abs/somewhere/tokenizer.gguf", "/data/models")).
-					To(Equal("/abs/somewhere/tokenizer.gguf"))
-			})
-
-			It("returns input unchanged when relTo is empty", func() {
-				Expect(resolvePath("vibevoice-cpp/tokenizer.gguf", "")).
-					To(Equal("vibevoice-cpp/tokenizer.gguf"))
-			})
-
-			It("returns empty input unchanged", func() {
-				Expect(resolvePath("", "/data/models")).To(BeEmpty())
-			})
-
-			It("does not consult CWD - bare filenames stay relative to modelRoot", func() {
-				// Even if the test runs in a directory containing a
-				// file with this name, the lookup must not fall back
-				// to CWD. This is the trap the production gallery flow
-				// would otherwise hit when LocalAI is launched from a
-				// directory that happens to contain a same-named file.
-				prev, _ := os.Getwd()
-				DeferCleanup(func() { _ = os.Chdir(prev) })
-				tmpCWD, err := os.MkdirTemp("", "vv-cwd-*")
-				Expect(err).ToNot(HaveOccurred())
-				DeferCleanup(func() { _ = os.RemoveAll(tmpCWD) })
-				Expect(os.WriteFile(filepath.Join(tmpCWD, "tokenizer.gguf"),
-					[]byte("not the real one"), 0o644)).To(Succeed())
-				Expect(os.Chdir(tmpCWD)).To(Succeed())
-
-				got := resolvePath("tokenizer.gguf", "/data/models")
-				Expect(got).To(Equal("/data/models/tokenizer.gguf"))
-			})
-		})
-
-		// Round-trip the gallery layout: relative paths in Options +
-		// an absolute ModelFile (as LocalAI core delivers them) end
-		// up resolved correctly inside the backend struct.
-		It("Load resolves relative Options paths against opts.ModelPath", func() {
-			tmpDir, err := os.MkdirTemp("", "vv-relpath-*")
-			Expect(err).ToNot(HaveOccurred())
-			DeferCleanup(func() { _ = os.RemoveAll(tmpDir) })
-
-			// Lay out the bundle exactly as the gallery would after install:
-			//   <modelpath>/vibevoice-cpp/{tts,tokenizer,voice}.gguf
-			subDir := filepath.Join(tmpDir, "vibevoice-cpp")
-			Expect(os.MkdirAll(subDir, 0o755)).To(Succeed())
-			tts := filepath.Join(subDir, "vibevoice-realtime-stub.gguf")
-			tok := filepath.Join(subDir, "tokenizer.gguf")
-			voice := filepath.Join(subDir, "voice.gguf")
-			for _, p := range []string{tts, tok, voice} {
-				Expect(os.WriteFile(p, []byte("stub"), 0o644)).To(Succeed())
-			}
-
-			// Mirror Load()'s pre-purego prefix: parse + slot fill.
-			v := &VibevoiceCpp{}
-			modelFile := tts // core delivers this as an abspath already
-			v.modelRoot = tmpDir
-			role := v.parseOptions([]string{
-				"tokenizer=vibevoice-cpp/tokenizer.gguf",
-				"voice=vibevoice-cpp/voice.gguf",
-			}, v.modelRoot)
-			Expect(role).To(BeEmpty())
-			if v.ttsModel == "" {
-				v.ttsModel = modelFile
-			}
-
-			Expect(v.ttsModel).To(Equal(tts))
-			Expect(v.tokenizer).To(Equal(tok))
-			Expect(v.voice).To(Equal(voice))
-			Expect(v.asrModel).To(BeEmpty())
-		})
-
-		It("closes the channel and errors on AudioTranscriptionStream without a loaded model", func() {
-			ch := make(chan *pb.TranscriptStreamResponse, 4)
-			err := (&VibevoiceCpp{}).AudioTranscriptionStream(&pb.TranscriptRequest{
-				Dst: "/tmp/some.wav",
-			}, ch)
-			Expect(err).To(HaveOccurred())
-			_, ok := <-ch
-			Expect(ok).To(BeFalse(), "AudioTranscriptionStream must close results channel even on error")
-		})
-	})
-
-	Context("gRPC server lifecycle", func() {
-		var cmd *exec.Cmd
-
-		AfterEach(func() {
-			stopServer(cmd)
-			cmd = nil
-		})
-
-		It("answers Health checks", func() {
-			cmd = startServer()
-			conn := dialGRPC()
-			defer func() { _ = conn.Close() }()
-
-			resp, err := pb.NewBackendClient(conn).Health(context.Background(), &pb.HealthMessage{})
-			Expect(err).ToNot(HaveOccurred())
-			Expect(string(resp.Message)).To(Equal("OK"))
-		})
-
-		It("loads the realtime TTS model", func() {
-			dir := modelDirOrSkip()
-			tts, _ := filepath.Glob(filepath.Join(dir, "vibevoice-realtime-*.gguf"))
-			if len(tts) == 0 {
-				Skip("realtime TTS gguf missing")
-			}
-
-			cmd = startServer()
-			conn := dialGRPC()
-			defer func() { _ = conn.Close() }()
-
-			// Mirror the gallery contract: ModelFile is whatever LocalAI
-			// core hands us; ModelPath is the models root; Options[]
-			// carry paths relative to ModelPath.
-			resp, err := pb.NewBackendClient(conn).LoadModel(context.Background(), &pb.ModelOptions{
-				ModelFile: filepath.Base(tts[0]),
-				ModelPath: dir,
-				Threads:   4,
-				Options:   []string{"tokenizer=tokenizer.gguf"},
-			})
-			Expect(err).ToNot(HaveOccurred())
-			Expect(resp.Success).To(BeTrue(), "LoadModel msg=%q", resp.Message)
-		})
-
-		It("runs a closed-loop TTS -> ASR with >=80% word recall", func() {
-			dir := modelDirOrSkip()
-			tts, _ := filepath.Glob(filepath.Join(dir, "vibevoice-realtime-*.gguf"))
-			asr, _ := filepath.Glob(filepath.Join(dir, "vibevoice-asr-*.gguf"))
-			if len(tts) == 0 || len(asr) == 0 {
-				Skip("closed-loop needs both realtime TTS and ASR ggufs")
-			}
-
-			tmpDir, err := os.MkdirTemp("", "vibevoice-cpp-closedloop-*")
-			Expect(err).ToNot(HaveOccurred())
-			DeferCleanup(func() { _ = os.RemoveAll(tmpDir) })
-			wav := filepath.Join(tmpDir, "say.wav")
-
-			cmd = startServer()
-			conn := dialGRPC()
-			defer func() { _ = conn.Close() }()
-			client := pb.NewBackendClient(conn)
-
-			// Gallery convention: ModelPath is the models root, every
-			// path inside Options[] is relative to it.
-			voiceMatches, _ := filepath.Glob(filepath.Join(dir, "voice-*.gguf"))
-			loadOpts := &pb.ModelOptions{
-				ModelFile: filepath.Base(tts[0]),
-				ModelPath: dir,
-				Threads:   4,
-				Options: []string{
-					"asr_model=" + filepath.Base(asr[0]),
-					"tokenizer=tokenizer.gguf",
-				},
-			}
-			if len(voiceMatches) > 0 {
-				loadOpts.Options = append(loadOpts.Options, "voice="+filepath.Base(voiceMatches[0]))
-			}
-			loadResp, err := client.LoadModel(context.Background(), loadOpts)
-			Expect(err).ToNot(HaveOccurred())
-			Expect(loadResp.Success).To(BeTrue(), "LoadModel msg=%q", loadResp.Message)
-
-			srcText := "Hello world this is a test of the synthesis system."
-			_, err = client.TTS(context.Background(), &pb.TTSRequest{
-				Text: srcText,
-				Dst:  wav,
-			})
-			Expect(err).ToNot(HaveOccurred())
-
-			info, err := os.Stat(wav)
-			Expect(err).ToNot(HaveOccurred())
-			Expect(info.Size()).To(BeNumerically(">=", 1000),
-				"TTS produced suspiciously small wav (%d bytes)", info.Size())
-
-			resp, err := client.AudioTranscription(context.Background(), &pb.TranscriptRequest{
-				Dst: wav,
-			})
-			Expect(err).ToNot(HaveOccurred())
-			got := strings.ToLower(resp.Text)
-			GinkgoWriter.Printf("source     : %s\n", srcText)
-			GinkgoWriter.Printf("transcribed: %s\n", got)
-
-			wordRE := regexp.MustCompile(`[a-z]+`)
-			srcWords := wordRE.FindAllString(strings.ToLower(srcText), -1)
-			Expect(srcWords).ToNot(BeEmpty())
-			hits := 0
-			for _, w := range srcWords {
-				if strings.Contains(got, w) {
-					hits++
-				}
-			}
-			recall := float64(hits) / float64(len(srcWords))
-			GinkgoWriter.Printf("recall: %d/%d = %.2f%%\n", hits, len(srcWords), recall*100)
-			Expect(recall).To(BeNumerically(">=", 0.80),
-				"closed-loop recall too low: %d/%d = %.2f%%",
-				hits, len(srcWords), recall*100)
-		})
-	})
-})

backend/go/whisper/CMakeLists.txt

@@ -5,7 +5,7 @@ set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
 
 add_subdirectory(./sources/whisper.cpp)
 
-add_library(gowhisper MODULE cpp/gowhisper.cpp)
+add_library(gowhisper MODULE gowhisper.cpp)
 target_link_libraries(gowhisper PRIVATE whisper ggml)
 
 if(CMAKE_CXX_COMPILER_ID MATCHES "GNU" AND CMAKE_CXX_COMPILER_VERSION VERSION_LESS 9.0)

backend/go/whisper/Makefile

@@ -111,7 +111,7 @@ libgowhisper-fallback.so: sources/whisper.cpp
 	SO_TARGET=libgowhisper-fallback.so CMAKE_ARGS="$(CMAKE_ARGS) -DGGML_AVX=off -DGGML_AVX2=off -DGGML_AVX512=off -DGGML_FMA=off -DGGML_F16C=off -DGGML_BMI2=off" $(MAKE) libgowhisper-custom
 	rm -rfv build*
 
-libgowhisper-custom: CMakeLists.txt cpp/gowhisper.cpp cpp/gowhisper.h
+libgowhisper-custom: CMakeLists.txt gowhisper.cpp gowhisper.h
 	mkdir -p build-$(SO_TARGET) && \
 	cd build-$(SO_TARGET) && \
 	cmake .. $(CMAKE_ARGS) && \

backend/go/whisper/gowhisper.go

@@ -139,10 +139,7 @@ func (w *Whisper) AudioTranscription(opts *pb.TranscriptRequest) (pb.TranscriptR
 		// segment start/end conversion factor taken from https://github.com/ggml-org/whisper.cpp/blob/master/examples/cli/cli.cpp#L895
 		s := CppGetSegmentStart(i) * (10000000)
 		t := CppGetSegmentEnd(i) * (10000000)
-		// whisper.cpp can emit bytes that aren't valid UTF-8 (e.g. a multibyte
-		// codepoint split across token boundaries); protobuf string fields
-		// reject those at marshal time. Scrub before the value escapes cgo.
-		txt := strings.ToValidUTF8(strings.Clone(CppGetSegmentText(i)), "<22>")
+		txt := strings.Clone(CppGetSegmentText(i))
 		tokens := make([]int32, CppNTokens(i))
 
 		if opts.Diarize && CppGetSegmentSpeakerTurnNext(i) {

backend/index.yaml

@@ -263,8 +263,6 @@
     amd: "rocm-vllm"
     intel: "intel-vllm"
     nvidia-cuda-12: "cuda12-vllm"
-    nvidia-cuda-13: "cuda13-vllm"
-    nvidia-l4t-cuda-13: "cuda13-nvidia-l4t-arm64-vllm"
     cpu: "cpu-vllm"
 - &sglang
   name: "sglang"
@@ -287,7 +285,6 @@
     amd: "rocm-sglang"
     intel: "intel-sglang"
     nvidia-cuda-12: "cuda12-sglang"
-    nvidia-l4t-cuda-13: "cuda13-nvidia-l4t-arm64-sglang"
     cpu: "cpu-sglang"
 - &vllm-omni
   name: "vllm-omni"
@@ -314,8 +311,6 @@
     nvidia: "cuda12-vllm-omni"
     amd: "rocm-vllm-omni"
     nvidia-cuda-12: "cuda12-vllm-omni"
-    nvidia-cuda-13: "cuda13-vllm-omni"
-    nvidia-l4t-cuda-13: "cuda13-nvidia-l4t-arm64-vllm-omni"
 - &mlx
   name: "mlx"
   uri: "quay.io/go-skynet/local-ai-backends:latest-metal-darwin-arm64-mlx"
@@ -572,34 +567,6 @@
     nvidia-l4t: "nvidia-l4t-arm64-qwen3-tts-cpp"
     nvidia-l4t-cuda-12: "nvidia-l4t-arm64-qwen3-tts-cpp"
     nvidia-l4t-cuda-13: "cuda13-nvidia-l4t-arm64-qwen3-tts-cpp"
-- &vibevoicecpp
-  name: "vibevoice-cpp"
-  description: |
-    vibevoice.cpp C++ backend using GGML. Native C++ port of Microsoft VibeVoice for both
-    text-to-speech (with voice cloning via voice prompt GGUFs) and long-form ASR with
-    speaker diarization. Outputs 24kHz mono WAV; ASR returns per-speaker JSON segments.
-  urls:
-    - https://github.com/mudler/vibevoice.cpp
-  tags:
-    - text-to-speech
-    - tts
-    - speech-to-text
-    - asr
-    - voice-cloning
-    - diarization
-  alias: "vibevoice-cpp"
-  capabilities:
-    default: "cpu-vibevoice-cpp"
-    nvidia: "cuda12-vibevoice-cpp"
-    nvidia-cuda-13: "cuda13-vibevoice-cpp"
-    nvidia-cuda-12: "cuda12-vibevoice-cpp"
-    intel: "intel-sycl-f16-vibevoice-cpp"
-    metal: "metal-vibevoice-cpp"
-    amd: "rocm-vibevoice-cpp"
-    vulkan: "vulkan-vibevoice-cpp"
-    nvidia-l4t: "nvidia-l4t-arm64-vibevoice-cpp"
-    nvidia-l4t-cuda-12: "nvidia-l4t-arm64-vibevoice-cpp"
-    nvidia-l4t-cuda-13: "cuda13-nvidia-l4t-arm64-vibevoice-cpp"
 - &faster-whisper
   icon: https://avatars.githubusercontent.com/u/1520500?s=200&v=4
   description: |
@@ -1641,20 +1608,6 @@
   mirrors:
     - localai/localai-backends:master-nvidia-l4t-cuda-13-arm64-turboquant
 ## whisper
-- !!merge <<: *whispercpp
-  name: "whisper-development"
-  capabilities:
-    default: "cpu-whisper-development"
-    nvidia: "cuda12-whisper-development"
-    intel: "intel-sycl-f16-whisper-development"
-    metal: "metal-whisper-development"
-    amd: "rocm-whisper-development"
-    vulkan: "vulkan-whisper-development"
-    nvidia-l4t: "nvidia-l4t-arm64-whisper-development"
-    nvidia-cuda-13: "cuda13-whisper-development"
-    nvidia-cuda-12: "cuda12-whisper-development"
-    nvidia-l4t-cuda-12: "nvidia-l4t-arm64-whisper-development"
-    nvidia-l4t-cuda-13: "cuda13-nvidia-l4t-arm64-whisper-development"
 - !!merge <<: *whispercpp
   name: "nvidia-l4t-arm64-whisper"
   uri: "quay.io/go-skynet/local-ai-backends:latest-nvidia-l4t-arm64-whisper"
@@ -1861,25 +1814,12 @@
     nvidia: "cuda12-vllm-development"
     amd: "rocm-vllm-development"
     intel: "intel-vllm-development"
-    nvidia-cuda-12: "cuda12-vllm-development"
-    nvidia-cuda-13: "cuda13-vllm-development"
-    nvidia-l4t-cuda-13: "cuda13-nvidia-l4t-arm64-vllm-development"
     cpu: "cpu-vllm-development"
 - !!merge <<: *vllm
   name: "cuda12-vllm"
   uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-nvidia-cuda-12-vllm"
   mirrors:
     - localai/localai-backends:latest-gpu-nvidia-cuda-12-vllm
-- !!merge <<: *vllm
-  name: "cuda13-vllm"
-  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-nvidia-cuda-13-vllm"
-  mirrors:
-    - localai/localai-backends:latest-gpu-nvidia-cuda-13-vllm
-- !!merge <<: *vllm
-  name: "cuda13-nvidia-l4t-arm64-vllm"
-  uri: "quay.io/go-skynet/local-ai-backends:latest-nvidia-l4t-cuda-13-arm64-vllm"
-  mirrors:
-    - localai/localai-backends:latest-nvidia-l4t-cuda-13-arm64-vllm
 - !!merge <<: *vllm
   name: "rocm-vllm"
   uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-rocm-hipblas-vllm"
@@ -1900,16 +1840,6 @@
   uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-cuda-12-vllm"
   mirrors:
     - localai/localai-backends:master-gpu-nvidia-cuda-12-vllm
-- !!merge <<: *vllm
-  name: "cuda13-vllm-development"
-  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-cuda-13-vllm"
-  mirrors:
-    - localai/localai-backends:master-gpu-nvidia-cuda-13-vllm
-- !!merge <<: *vllm
-  name: "cuda13-nvidia-l4t-arm64-vllm-development"
-  uri: "quay.io/go-skynet/local-ai-backends:master-nvidia-l4t-cuda-13-arm64-vllm"
-  mirrors:
-    - localai/localai-backends:master-nvidia-l4t-cuda-13-arm64-vllm
 - !!merge <<: *vllm
   name: "rocm-vllm-development"
   uri: "quay.io/go-skynet/local-ai-backends:master-gpu-rocm-hipblas-vllm"
@@ -1932,19 +1862,12 @@
     nvidia: "cuda12-sglang-development"
     amd: "rocm-sglang-development"
     intel: "intel-sglang-development"
-    nvidia-cuda-12: "cuda12-sglang-development"
-    nvidia-l4t-cuda-13: "cuda13-nvidia-l4t-arm64-sglang-development"
     cpu: "cpu-sglang-development"
 - !!merge <<: *sglang
   name: "cuda12-sglang"
   uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-nvidia-cuda-12-sglang"
   mirrors:
     - localai/localai-backends:latest-gpu-nvidia-cuda-12-sglang
-- !!merge <<: *sglang
-  name: "cuda13-nvidia-l4t-arm64-sglang"
-  uri: "quay.io/go-skynet/local-ai-backends:latest-nvidia-l4t-cuda-13-arm64-sglang"
-  mirrors:
-    - localai/localai-backends:latest-nvidia-l4t-cuda-13-arm64-sglang
 - !!merge <<: *sglang
   name: "rocm-sglang"
   uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-rocm-hipblas-sglang"
@@ -1965,11 +1888,6 @@
   uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-cuda-12-sglang"
   mirrors:
     - localai/localai-backends:master-gpu-nvidia-cuda-12-sglang
-- !!merge <<: *sglang
-  name: "cuda13-nvidia-l4t-arm64-sglang-development"
-  uri: "quay.io/go-skynet/local-ai-backends:master-nvidia-l4t-cuda-13-arm64-sglang"
-  mirrors:
-    - localai/localai-backends:master-nvidia-l4t-cuda-13-arm64-sglang
 - !!merge <<: *sglang
   name: "rocm-sglang-development"
   uri: "quay.io/go-skynet/local-ai-backends:master-gpu-rocm-hipblas-sglang"
@@ -1992,23 +1910,11 @@
     nvidia: "cuda12-vllm-omni-development"
     amd: "rocm-vllm-omni-development"
     nvidia-cuda-12: "cuda12-vllm-omni-development"
-    nvidia-cuda-13: "cuda13-vllm-omni-development"
-    nvidia-l4t-cuda-13: "cuda13-nvidia-l4t-arm64-vllm-omni-development"
 - !!merge <<: *vllm-omni
   name: "cuda12-vllm-omni"
   uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-nvidia-cuda-12-vllm-omni"
   mirrors:
     - localai/localai-backends:latest-gpu-nvidia-cuda-12-vllm-omni
-- !!merge <<: *vllm-omni
-  name: "cuda13-vllm-omni"
-  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-nvidia-cuda-13-vllm-omni"
-  mirrors:
-    - localai/localai-backends:latest-gpu-nvidia-cuda-13-vllm-omni
-- !!merge <<: *vllm-omni
-  name: "cuda13-nvidia-l4t-arm64-vllm-omni"
-  uri: "quay.io/go-skynet/local-ai-backends:latest-nvidia-l4t-cuda-13-arm64-vllm-omni"
-  mirrors:
-    - localai/localai-backends:latest-nvidia-l4t-cuda-13-arm64-vllm-omni
 - !!merge <<: *vllm-omni
   name: "rocm-vllm-omni"
   uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-rocm-hipblas-vllm-omni"
@@ -2019,16 +1925,6 @@
   uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-cuda-12-vllm-omni"
   mirrors:
     - localai/localai-backends:master-gpu-nvidia-cuda-12-vllm-omni
-- !!merge <<: *vllm-omni
-  name: "cuda13-vllm-omni-development"
-  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-cuda-13-vllm-omni"
-  mirrors:
-    - localai/localai-backends:master-gpu-nvidia-cuda-13-vllm-omni
-- !!merge <<: *vllm-omni
-  name: "cuda13-nvidia-l4t-arm64-vllm-omni-development"
-  uri: "quay.io/go-skynet/local-ai-backends:master-nvidia-l4t-cuda-13-arm64-vllm-omni"
-  mirrors:
-    - localai/localai-backends:master-nvidia-l4t-cuda-13-arm64-vllm-omni
 - !!merge <<: *vllm-omni
   name: "rocm-vllm-omni-development"
   uri: "quay.io/go-skynet/local-ai-backends:master-gpu-rocm-hipblas-vllm-omni"
@@ -2684,107 +2580,6 @@
   uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-cuda-13-qwen3-tts-cpp"
   mirrors:
     - localai/localai-backends:master-gpu-nvidia-cuda-13-qwen3-tts-cpp
-## vibevoice-cpp
-- !!merge <<: *vibevoicecpp
-  name: "nvidia-l4t-arm64-vibevoice-cpp"
-  uri: "quay.io/go-skynet/local-ai-backends:latest-nvidia-l4t-arm64-vibevoice-cpp"
-  mirrors:
-    - localai/localai-backends:latest-nvidia-l4t-arm64-vibevoice-cpp
-- !!merge <<: *vibevoicecpp
-  name: "nvidia-l4t-arm64-vibevoice-cpp-development"
-  uri: "quay.io/go-skynet/local-ai-backends:master-nvidia-l4t-arm64-vibevoice-cpp"
-  mirrors:
-    - localai/localai-backends:master-nvidia-l4t-arm64-vibevoice-cpp
-- !!merge <<: *vibevoicecpp
-  name: "cuda13-nvidia-l4t-arm64-vibevoice-cpp"
-  uri: "quay.io/go-skynet/local-ai-backends:latest-nvidia-l4t-cuda-13-arm64-vibevoice-cpp"
-  mirrors:
-    - localai/localai-backends:latest-nvidia-l4t-cuda-13-arm64-vibevoice-cpp
-- !!merge <<: *vibevoicecpp
-  name: "cuda13-nvidia-l4t-arm64-vibevoice-cpp-development"
-  uri: "quay.io/go-skynet/local-ai-backends:master-nvidia-l4t-cuda-13-arm64-vibevoice-cpp"
-  mirrors:
-    - localai/localai-backends:master-nvidia-l4t-cuda-13-arm64-vibevoice-cpp
-- !!merge <<: *vibevoicecpp
-  name: "cpu-vibevoice-cpp"
-  uri: "quay.io/go-skynet/local-ai-backends:latest-cpu-vibevoice-cpp"
-  mirrors:
-    - localai/localai-backends:latest-cpu-vibevoice-cpp
-- !!merge <<: *vibevoicecpp
-  name: "metal-vibevoice-cpp"
-  uri: "quay.io/go-skynet/local-ai-backends:latest-metal-darwin-arm64-vibevoice-cpp"
-  mirrors:
-    - localai/localai-backends:latest-metal-darwin-arm64-vibevoice-cpp
-- !!merge <<: *vibevoicecpp
-  name: "metal-vibevoice-cpp-development"
-  uri: "quay.io/go-skynet/local-ai-backends:master-metal-darwin-arm64-vibevoice-cpp"
-  mirrors:
-    - localai/localai-backends:master-metal-darwin-arm64-vibevoice-cpp
-- !!merge <<: *vibevoicecpp
-  name: "cpu-vibevoice-cpp-development"
-  uri: "quay.io/go-skynet/local-ai-backends:master-cpu-vibevoice-cpp"
-  mirrors:
-    - localai/localai-backends:master-cpu-vibevoice-cpp
-- !!merge <<: *vibevoicecpp
-  name: "cuda12-vibevoice-cpp"
-  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-nvidia-cuda-12-vibevoice-cpp"
-  mirrors:
-    - localai/localai-backends:latest-gpu-nvidia-cuda-12-vibevoice-cpp
-- !!merge <<: *vibevoicecpp
-  name: "rocm-vibevoice-cpp"
-  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-rocm-hipblas-vibevoice-cpp"
-  mirrors:
-    - localai/localai-backends:latest-gpu-rocm-hipblas-vibevoice-cpp
-- !!merge <<: *vibevoicecpp
-  name: "intel-sycl-f32-vibevoice-cpp"
-  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-sycl-f32-vibevoice-cpp"
-  mirrors:
-    - localai/localai-backends:latest-gpu-intel-sycl-f32-vibevoice-cpp
-- !!merge <<: *vibevoicecpp
-  name: "intel-sycl-f16-vibevoice-cpp"
-  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-intel-sycl-f16-vibevoice-cpp"
-  mirrors:
-    - localai/localai-backends:latest-gpu-intel-sycl-f16-vibevoice-cpp
-- !!merge <<: *vibevoicecpp
-  name: "vulkan-vibevoice-cpp"
-  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-vulkan-vibevoice-cpp"
-  mirrors:
-    - localai/localai-backends:latest-gpu-vulkan-vibevoice-cpp
-- !!merge <<: *vibevoicecpp
-  name: "vulkan-vibevoice-cpp-development"
-  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-vulkan-vibevoice-cpp"
-  mirrors:
-    - localai/localai-backends:master-gpu-vulkan-vibevoice-cpp
-- !!merge <<: *vibevoicecpp
-  name: "cuda12-vibevoice-cpp-development"
-  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-cuda-12-vibevoice-cpp"
-  mirrors:
-    - localai/localai-backends:master-gpu-nvidia-cuda-12-vibevoice-cpp
-- !!merge <<: *vibevoicecpp
-  name: "rocm-vibevoice-cpp-development"
-  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-rocm-hipblas-vibevoice-cpp"
-  mirrors:
-    - localai/localai-backends:master-gpu-rocm-hipblas-vibevoice-cpp
-- !!merge <<: *vibevoicecpp
-  name: "intel-sycl-f32-vibevoice-cpp-development"
-  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-sycl-f32-vibevoice-cpp"
-  mirrors:
-    - localai/localai-backends:master-gpu-intel-sycl-f32-vibevoice-cpp
-- !!merge <<: *vibevoicecpp
-  name: "intel-sycl-f16-vibevoice-cpp-development"
-  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-intel-sycl-f16-vibevoice-cpp"
-  mirrors:
-    - localai/localai-backends:master-gpu-intel-sycl-f16-vibevoice-cpp
-- !!merge <<: *vibevoicecpp
-  name: "cuda13-vibevoice-cpp"
-  uri: "quay.io/go-skynet/local-ai-backends:latest-gpu-nvidia-cuda-13-vibevoice-cpp"
-  mirrors:
-    - localai/localai-backends:latest-gpu-nvidia-cuda-13-vibevoice-cpp
-- !!merge <<: *vibevoicecpp
-  name: "cuda13-vibevoice-cpp-development"
-  uri: "quay.io/go-skynet/local-ai-backends:master-gpu-nvidia-cuda-13-vibevoice-cpp"
-  mirrors:
-    - localai/localai-backends:master-gpu-nvidia-cuda-13-vibevoice-cpp
 ## kokoro
 - !!merge <<: *kokoro
   name: "kokoro-development"

backend/python/coqui/requirements.txt

@@ -1,4 +1,4 @@
 grpcio==1.80.0
 protobuf
 certifi
-packaging==26.2
+packaging==24.1

backend/python/diffusers/backend.py

@@ -40,19 +40,7 @@ from diffusers import DiffusionPipeline, ControlNetModel
 from diffusers import FluxPipeline, FluxTransformer2DModel, AutoencoderKLWan
 from diffusers.pipelines.stable_diffusion import safety_checker
 from diffusers.utils import load_image, export_to_video
-# TODO: re-enable compel as a hard dependency once it supports transformers >= 5.
-# Tracking upstream: https://github.com/damian0815/compel/pull/129
-# and https://github.com/damian0815/compel/issues/128
-# Until then compel pins transformers ~= 4.25, which forces the pip resolver into
-# multi-hour backtracking storms in CI when DEPS_REFRESH rotates the cache.
-# Keep the import optional and gate usage on the COMPEL env var (set COMPEL=1 to opt in).
-try:
-    from compel import Compel, ReturnedEmbeddingsType
-    COMPEL_AVAILABLE = True
-except ImportError:
-    Compel = None
-    ReturnedEmbeddingsType = None
-    COMPEL_AVAILABLE = False
+from compel import Compel, ReturnedEmbeddingsType
 from optimum.quanto import freeze, qfloat8, quantize
 from transformers import T5EncoderModel
 from safetensors.torch import load_file
@@ -78,9 +66,6 @@ from diffusers import LTX2VideoTransformer3DModel, GGUFQuantizationConfig
 
 _ONE_DAY_IN_SECONDS = 60 * 60 * 24
 COMPEL = os.environ.get("COMPEL", "0") == "1"
-if COMPEL and not COMPEL_AVAILABLE:
-    print("WARNING: COMPEL is enabled but the compel module is not installed. Install it manually (`pip install compel`) or unset COMPEL. Falling back to standard prompt processing.", file=sys.stderr)
-    COMPEL = False
 SD_EMBED = os.environ.get("SD_EMBED", "0") == "1"
 # Warn if SD_EMBED is enabled but the module is not available
 if SD_EMBED and not SD_EMBED_AVAILABLE:

backend/python/diffusers/requirements-cpu.txt

@@ -4,15 +4,10 @@ opencv-python
 transformers
 torchvision==0.22.1
 accelerate
+compel
 git+https://github.com/xhinker/sd_embed
 peft
 sentencepiece
 torch==2.7.1
 optimum-quanto
-ftfy
-# TODO: re-add compel once it supports transformers >= 5.
-# Tracking: https://github.com/damian0815/compel/pull/129
-#           https://github.com/damian0815/compel/issues/128
-# compel currently pins transformers~=4.25, which forced pip into multi-hour
-# resolver backtracking storms in CI. backend.py imports it lazily and gates
-# the COMPEL=1 env var on the import succeeding, so dropping it here is safe.
+ftfy

backend/python/diffusers/requirements-cublas12.txt

@@ -4,15 +4,10 @@ opencv-python
 transformers
 torchvision
 accelerate
+compel
 git+https://github.com/xhinker/sd_embed
 peft
 sentencepiece
 torch
 ftfy
 optimum-quanto
-# TODO: re-add compel once it supports transformers >= 5.
-# Tracking: https://github.com/damian0815/compel/pull/129
-#           https://github.com/damian0815/compel/issues/128
-# compel currently pins transformers~=4.25, which forced pip into multi-hour
-# resolver backtracking storms in CI. backend.py imports it lazily and gates
-# the COMPEL=1 env var on the import succeeding, so dropping it here is safe.

backend/python/diffusers/requirements-cublas13.txt

@@ -4,15 +4,10 @@ opencv-python
 transformers
 torchvision
 accelerate
+compel
 git+https://github.com/xhinker/sd_embed
 peft
 sentencepiece
 torch
 ftfy
 optimum-quanto
-# TODO: re-add compel once it supports transformers >= 5.
-# Tracking: https://github.com/damian0815/compel/pull/129
-#           https://github.com/damian0815/compel/issues/128
-# compel currently pins transformers~=4.25, which forced pip into multi-hour
-# resolver backtracking storms in CI. backend.py imports it lazily and gates
-# the COMPEL=1 env var on the import succeeding, so dropping it here is safe.

backend/python/diffusers/requirements-hipblas.txt

@@ -5,13 +5,8 @@ git+https://github.com/huggingface/diffusers
 opencv-python
 transformers
 accelerate
+compel
 peft
 sentencepiece
 optimum-quanto
-ftfy
-# TODO: re-add compel once it supports transformers >= 5.
-# Tracking: https://github.com/damian0815/compel/pull/129
-#           https://github.com/damian0815/compel/issues/128
-# compel currently pins transformers~=4.25, which forced pip into multi-hour
-# resolver backtracking storms in CI. backend.py imports it lazily and gates
-# the COMPEL=1 env var on the import succeeding, so dropping it here is safe.
+ftfy

backend/python/diffusers/requirements-intel.txt

@@ -7,14 +7,9 @@ git+https://github.com/huggingface/diffusers
 opencv-python
 transformers
 accelerate
+compel
 git+https://github.com/xhinker/sd_embed
 peft
 sentencepiece
 optimum-quanto
-ftfy
-# TODO: re-add compel once it supports transformers >= 5.
-# Tracking: https://github.com/damian0815/compel/pull/129
-#           https://github.com/damian0815/compel/issues/128
-# compel currently pins transformers~=4.25, which forced pip into multi-hour
-# resolver backtracking storms in CI. backend.py imports it lazily and gates
-# the COMPEL=1 env var on the import succeeding, so dropping it here is safe.
+ftfy

backend/python/diffusers/requirements-l4t12.txt

@@ -3,15 +3,10 @@ torch
 git+https://github.com/huggingface/diffusers
 transformers
 accelerate
+compel
 peft
 optimum-quanto
 numpy<2
 sentencepiece
 torchvision
 ftfy
-# TODO: re-add compel once it supports transformers >= 5.
-# Tracking: https://github.com/damian0815/compel/pull/129
-#           https://github.com/damian0815/compel/issues/128
-# compel currently pins transformers~=4.25, which forced pip into multi-hour
-# resolver backtracking storms in CI. backend.py imports it lazily and gates
-# the COMPEL=1 env var on the import succeeding, so dropping it here is safe.

backend/python/diffusers/requirements-l4t13.txt

@@ -3,6 +3,7 @@ torch
 git+https://github.com/huggingface/diffusers
 transformers
 accelerate
+compel
 peft
 optimum-quanto
 numpy<2
@@ -10,9 +11,3 @@ sentencepiece
 torchvision
 ftfy
 chardet
-# TODO: re-add compel once it supports transformers >= 5.
-# Tracking: https://github.com/damian0815/compel/pull/129
-#           https://github.com/damian0815/compel/issues/128
-# compel currently pins transformers~=4.25, which forced pip into multi-hour
-# resolver backtracking storms in CI. backend.py imports it lazily and gates
-# the COMPEL=1 env var on the import succeeding, so dropping it here is safe.

backend/python/diffusers/requirements-mps.txt

@@ -4,13 +4,8 @@ git+https://github.com/huggingface/diffusers
 opencv-python
 transformers
 accelerate
+compel
 peft
 sentencepiece
 optimum-quanto
-ftfy
-# TODO: re-add compel once it supports transformers >= 5.
-# Tracking: https://github.com/damian0815/compel/pull/129
-#           https://github.com/damian0815/compel/issues/128
-# compel currently pins transformers~=4.25, which forced pip into multi-hour
-# resolver backtracking storms in CI. backend.py imports it lazily and gates
-# the COMPEL=1 env var on the import succeeding, so dropping it here is safe.
+ftfy

backend/python/mlx-vlm/requirements-cpu.txt

@@ -1,2 +1,2 @@
-git+https://github.com/Blaizzy/mlx-vlm@v0.4.4
+git+https://github.com/Blaizzy/mlx-vlm
 mlx[cpu]

backend/python/mlx-vlm/requirements-cublas12.txt

@@ -1,2 +1,2 @@
-git+https://github.com/Blaizzy/mlx-vlm@v0.4.4
+git+https://github.com/Blaizzy/mlx-vlm
 mlx[cuda12]

backend/python/mlx-vlm/requirements-cublas13.txt

@@ -1,2 +1,2 @@
-git+https://github.com/Blaizzy/mlx-vlm@v0.4.4
+git+https://github.com/Blaizzy/mlx-vlm
 mlx[cuda13]

backend/python/mlx-vlm/requirements-l4t12.txt

@@ -1,2 +1,2 @@
-git+https://github.com/Blaizzy/mlx-vlm@v0.4.4
+git+https://github.com/Blaizzy/mlx-vlm
 mlx[cuda12]

backend/python/mlx-vlm/requirements-l4t13.txt

@@ -1,2 +1,2 @@
-git+https://github.com/Blaizzy/mlx-vlm@v0.4.4
+git+https://github.com/Blaizzy/mlx-vlm
 mlx[cuda13]

backend/python/mlx-vlm/requirements-mps.txt

@@ -1 +1 @@
-git+https://github.com/Blaizzy/mlx-vlm@v0.4.4
+git+https://github.com/Blaizzy/mlx-vlm

backend/python/pocket-tts/backend.py

@@ -8,7 +8,6 @@ import argparse
 import signal
 import sys
 import os
-import tempfile
 import traceback
 import scipy.io.wavfile
 import backend_pb2
@@ -205,7 +204,7 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
             # Save audio to file
             output_path = request.dst
             if not output_path:
-                output_path = os.path.join(tempfile.gettempdir(), "pocket-tts-output.wav")
+                output_path = "/tmp/pocket-tts-output.wav"
 
             # Ensure output directory exists
             output_dir = os.path.dirname(output_path)

backend/python/sglang/install.sh

@@ -23,19 +23,6 @@ if [ "x${BUILD_PROFILE}" == "xcpu" ]; then
     EXTRA_PIP_INSTALL_FLAGS+=" --index-strategy=unsafe-best-match"
 fi
 
-# JetPack 7 / L4T arm64 wheels are built for cp312 and shipped via
-# pypi.jetson-ai-lab.io. Bump the venv Python so the prebuilt sglang
-# wheel resolves cleanly. unsafe-best-match is required because the
-# jetson-ai-lab index lists transitive deps (e.g. decord) at older
-# versions only — without it uv refuses to fall through to PyPI for a
-# compatible wheel and resolution fails.
-if [ "x${BUILD_PROFILE}" == "xl4t13" ]; then
-    PYTHON_VERSION="3.12"
-    PYTHON_PATCH="12"
-    PY_STANDALONE_TAG="20251120"
-    EXTRA_PIP_INSTALL_FLAGS+=" --index-strategy=unsafe-best-match"
-fi
-
 # sglang's CPU path has no prebuilt wheel on PyPI — upstream publishes
 # a separate pyproject_cpu.toml that must be swapped in before `pip install`.
 # Reference: docker/xeon.Dockerfile in the sglang upstream repo.

backend/python/sglang/requirements-l4t13.txt

@@ -1,12 +0,0 @@
---extra-index-url https://pypi.jetson-ai-lab.io/sbsa/cu130
-accelerate
-torch
-torchvision
-torchaudio
-transformers
-# Drop the [all] extra: it pulls outlines/decord, and decord has no
-# aarch64 cp312 wheel anywhere (PyPI nor the jetson-ai-lab index ships
-# only legacy cp35-cp37). With [all] uv backtracks through versions
-# trying to satisfy decord and lands on sglang==0.1.16. Floor at 0.5.0
-# so uv can't silently downgrade if a future resolution misfires.
-sglang>=0.5.0

backend/python/tinygrad/backend.py

@@ -33,7 +33,6 @@ import json
 import os
 import signal
 import sys
-import tempfile
 import time
 from concurrent import futures
 from pathlib import Path
@@ -669,7 +668,7 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
             )
             arr = img_tensor.numpy()
             image = Image.fromarray(arr)
-            dst = request.dst or os.path.join(tempfile.gettempdir(), "tinygrad_image.png")
+            dst = request.dst or "/tmp/tinygrad_image.png"
             image.save(dst)
             return backend_pb2.Result(success=True, message=dst)
         except Exception as exc: