feat(vllm): macOS/Metal support via vllm-metal (MLX) (#10489)

* feat(vllm): macOS/Metal support via vllm-metal (MLX)

Add an additive Apple-Silicon path to the existing vllm Python backend so
vLLM runs on macOS via vllm-metal (github.com/vllm-project/vllm-metal).

Spike outcome (proven on a real M4 / macOS 26.5, Qwen3-0.6B):
- vllm-metal registers through vLLM's platform-plugin entry point
  (metal -> vllm_metal:register); MetalPlatform activates and runs on the
  GPU through MLX.
- LocalAI's backend.py is UNCHANGED: AsyncEngineArgs(...) ->
  AsyncLLMEngine.from_engine_args transparently resolves to vLLM 0.23's v1
  AsyncLLM MLX engine, and async generate produced correct output.
- backend.py is NOT touched: its only empty_cache() call is CUDA-only
  (guarded by torch.cuda.is_available()), so the benign shutdown-only
  "Allocator for mps is not a DeviceAllocator" noise comes from vLLM's
  internal EngineCore teardown, not from our code.

Changes (all gated behind a darwin condition; Linux/CUDA/ROCm/Intel paths
are byte-for-byte unchanged):
- install.sh: darwin branch forces PYTHON_VERSION=3.12 (vllm-metal
  requirement), creates/activates LocalAI's managed venv via ensureVenv,
  then reproduces vllm-metal's installer INTO that venv (build vLLM 0.23.0
  from the release source tarball against requirements/cpu.txt, then install
  the prebuilt vllm-metal wheel from its latest GitHub release), and runs
  runProtogen. installRequirements is skipped on darwin.
- backend-matrix.yml: add a vllm includeDarwin entry (mps, python).
- index.yaml: add metal capability + concrete metal-vllm /
  metal-vllm-development child entries mirroring the metal-kitten-tts
  template.

Version coupling: vllm-metal pins vLLM 0.23.0, equal to LocalAI's current
vllm pin. Bumping vllm must be coordinated with a supporting vllm-metal
release; documented in install.sh and requirements-cublas13-after.txt.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:opus-4.8 [Claude Code]

* chore(vllm): track the darwin vllm-metal pin via the autobumper

The Apple Silicon build pinned vLLM 0.23.0 as a hidden string in install.sh
while floating the vllm-metal wheel on releases/latest - the two could drift
apart silently. Make both a tracked, reproducible pair (VLLM_METAL_VERSION +
VLLM_VERSION), fetch the wheel by tag, and add .github/bump_vllm_metal.sh wired
into bump_deps.yaml. It tracks vllm-project/vllm-metal (not vllm/vllm latest),
reading the coupled vLLM source version from vllm-metal's own installer, and
opens a bump PR - mirroring the existing bump_vllm_wheel.sh for the cu130 wheel.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:opus-4.8 [Claude Code]

* chore(vllm): derive the darwin vLLM version, drop the second pin

Follow-up: VLLM_VERSION was still a hardcoded string duplicating what
VLLM_METAL_VERSION already determines. Derive it at install time from
vllm-metal's own installer (vllm_v=) at the pinned tag - one source of truth,
no second value to drift. The bumper now touches only VLLM_METAL_VERSION;
the derivation is immutable per tag, so builds stay reproducible.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:opus-4.8 [Claude Code]

* fix(vllm): fetch the vllm-metal wheel without the GitHub API

The darwin build resolved the wheel URL via api.github.com, whose
unauthenticated rate limit (60/hr per IP) 403s on shared macOS runners
(observed after the 9-min vLLM source build). Construct the release-asset
download URL deterministically from the pinned tag and the cp312/arm64 wheel
name instead - no API call, no rate limit. Verified the URL resolves (200).

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:opus-4.8 [Claude Code]

* fix(vllm): fail Score cleanly when the engine returns no prompt_logprobs

Audit of the Score path against vllm-metal (MLX on macOS): the engine accepts
SamplingParams(prompt_logprobs=1) but returns an all-None prompt_logprobs list
rather than computing it, so scoring is not supported there. The old guard
treated the truthy [None] list as valid and silently scored every candidate as
0. Detect the all-None case and return UNIMPLEMENTED instead. No-op on
Linux/CUDA, which populate real entries.

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Assisted-by: Claude:opus-4.8 [Claude Code]

---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@localai.io>
This commit is contained in:
LocalAI [bot]
2026-06-25 15:46:19 +02:00
committed by GitHub
parent 693e3eec05
commit 3a87d9e48f
7 changed files with 216 additions and 4 deletions

View File

@@ -457,9 +457,14 @@ class BackendServicer(backend_pb2_grpc.BackendServicer):
except Exception:
pass
if last_output is None or not getattr(last_output, "prompt_logprobs", None):
context.set_code(grpc.StatusCode.INTERNAL)
context.set_details("vLLM did not return prompt_logprobs")
_pl = getattr(last_output, "prompt_logprobs", None) if last_output is not None else None
# Some engines accept the prompt_logprobs request but return a
# list of all-None entries instead of computing them (observed
# with vllm-metal's MLX backend on macOS). Treat that as
# unsupported rather than silently scoring every candidate as 0.
if not _pl or all(e is None for e in _pl):
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details("This backend did not return prompt_logprobs; scoring is unsupported on this engine (e.g. vllm-metal / MLX on macOS).")
return backend_pb2.ScoreResponse()
prompt_logprobs = last_output.prompt_logprobs

View File

@@ -43,6 +43,24 @@ if [ "x${BUILD_PROFILE}" == "xcublas13" ]; then
EXTRA_PIP_INSTALL_FLAGS+=" --index-strategy=unsafe-best-match"
fi
# Apple Silicon (Metal/MLX) via vllm-metal.
# vllm-metal (github.com/vllm-project/vllm-metal) brings vLLM to macOS on Apple
# Silicon: it registers through vLLM's platform-plugin entry point
# (metal -> vllm_metal:register), MetalPlatform activates, and the vLLM v1
# AsyncLLM engine runs on the GPU through MLX. LocalAI's backend.py is UNCHANGED
# on darwin — AsyncEngineArgs(...) -> AsyncLLMEngine.from_engine_args transparently
# resolves to the MLX engine (proven on a real M4 / macOS 26.5 against Qwen3-0.6B).
#
# vllm-metal REQUIRES Python 3.12, so force the portable CPython before the venv
# is created (ensureVenv reads PYTHON_VERSION/PYTHON_PATCH/PY_STANDALONE_TAG).
# The patch + standalone tag mirror the l4t13 cp312 pin — a known-good
# python-build-standalone release that also ships an aarch64-apple-darwin asset.
if [ "$(uname -s)" = "Darwin" ]; then
PYTHON_VERSION="3.12"
PYTHON_PATCH="12"
PY_STANDALONE_TAG="20251120"
fi
# JetPack 7 / L4T arm64 vllm + torch wheels come straight from PyPI now
# (torch 2.11+ ships aarch64 + cu130 manylinux wheels and vllm 0.20+ ships
# an aarch64 wheel pinned to that torch). They're cp312-only, so bump the
@@ -57,11 +75,87 @@ if [ "x${BUILD_PROFILE}" == "xl4t13" ]; then
PY_STANDALONE_TAG="20251120"
fi
# ===================== Apple Silicon (Metal/MLX) =====================
# Reproduce vllm-metal's upstream installer
# (curl -fsSL https://raw.githubusercontent.com/vllm-project/vllm-metal/main/install.sh)
# but INTO LocalAI's managed venv (ensureVenv) instead of a throwaway
# ~/.venv-vllm-metal, so the backend integrates with LocalAI's venv lifecycle
# (portable CPython, _makeVenvPortable relocation, runtime activation). The
# normal CUDA/CPU installRequirements is skipped on darwin — there is no
# macOS/arm64 vLLM wheel on PyPI; vLLM is built from source and the MLX engine
# is layered on by the vllm-metal wheel.
if [ "$(uname -s)" = "Darwin" ]; then
# Create/activate the portable 3.12 venv. On darwin USE_PIP=true and
# PORTABLE_PYTHON=true (set by scripts/build/python-darwin.sh), so this is a
# `python -m venv` based, relocatable venv.
ensureVenv
# vllm-metal's installer drives everything through `uv`: building vLLM from
# the CPU requirements needs `--index-strategy unsafe-best-match` (mixes the
# pytorch CPU channel with PyPI), a flag plain pip does not have. The darwin
# venv is pip-based, so bootstrap uv into it. uv honours $VIRTUAL_ENV (set by
# libbackend's _activateVenv) and installs into THIS venv — same pattern the
# intel branch below relies on.
pip install uv
# The ONLY darwin version pin -- AUTO-BUMPED by .github/bump_vllm_metal.sh,
# which tracks vllm-project/vllm-metal releases (NOT vllm/vllm latest). Keep
# it as a plain double-quoted assignment on its own line so the bumper's sed
# can rewrite it. Darwin therefore follows vllm-metal and can lag the Linux
# vllm pin (requirements-cublas13-after.txt, bumped independently against
# vllm/vllm) until vllm-metal supports a newer vLLM.
VLLM_METAL_VERSION="v0.3.0.dev20260622062346"
# The coupled vLLM source version is whatever this vllm-metal release builds
# against -- it declares it in its own installer as `vllm_v=`. Derive it from
# the PINNED tag rather than hardcoding a second value that could drift. The
# tag is immutable, so this stays reproducible across rebuilds.
VLLM_VERSION=$(curl -fsSL "https://raw.githubusercontent.com/vllm-project/vllm-metal/${VLLM_METAL_VERSION}/install.sh" \
| grep -oE 'vllm_v="[0-9]+\.[0-9]+\.[0-9]+"' | head -n1 | cut -d'"' -f2)
if [ -z "${VLLM_VERSION}" ]; then
echo "ERROR: could not derive the vLLM version from vllm-metal ${VLLM_METAL_VERSION}" >&2
exit 1
fi
echo "vllm-metal ${VLLM_METAL_VERSION} builds against vLLM ${VLLM_VERSION}"
_vllm_src=$(mktemp -d)
trap 'rm -rf "${_vllm_src}"' EXIT
pushd "${_vllm_src}"
# 1) Build vLLM ${VLLM_VERSION} from the release source tarball against
# the CPU requirements. vllm-metal layers its MLX platform plugin on
# top of this exact build.
curl -fsSL -o "vllm-${VLLM_VERSION}.tar.gz" \
"https://github.com/vllm-project/vllm/releases/download/v${VLLM_VERSION}/vllm-${VLLM_VERSION}.tar.gz"
tar -xzf "vllm-${VLLM_VERSION}.tar.gz"
pushd "vllm-${VLLM_VERSION}"
uv pip install -r requirements/cpu.txt --index-strategy unsafe-best-match
# -Wno-parentheses: clang on macOS treats one of vLLM's C++ warnings
# as an error without it (matches the upstream installer's CXXFLAGS).
CXXFLAGS="-Wno-parentheses" uv pip install .
popd
popd
# 2) Install the prebuilt vllm-metal wheel for the PINNED release. It pulls
# mlx / mlx-metal as deps and registers the `metal` platform plugin that
# backend.py resolves to at engine-init time. Build the release-asset URL
# deterministically (tag + the cp312/arm64 wheel name) rather than querying
# api.github.com, whose unauthenticated rate limit (60/hr per IP) 403s on
# shared CI runners. The wheel version is the tag without its leading 'v'.
_metal_wheel="vllm_metal-${VLLM_METAL_VERSION#v}-cp312-cp312-macosx_11_0_arm64.whl"
_metal_wheel_url="https://github.com/vllm-project/vllm-metal/releases/download/${VLLM_METAL_VERSION}/${_metal_wheel}"
echo "Installing vllm-metal wheel: ${_metal_wheel_url}"
uv pip install "${_metal_wheel_url}"
# Generate the gRPC stubs (backend_pb2*). installRequirements normally does
# this via runProtogen at the end; we skipped installRequirements on darwin,
# so call it explicitly here.
runProtogen
# Intel XPU has no upstream-published vllm wheels, so we always build vllm
# from source against torch-xpu and replace the default triton with
# triton-xpu (matching torch 2.11). Mirrors the upstream procedure:
# https://github.com/vllm-project/vllm/blob/main/docs/getting_started/installation/gpu.xpu.inc.md
if [ "x${BUILD_TYPE}" == "xintel" ]; then
elif [ "x${BUILD_TYPE}" == "xintel" ]; then
# Hide requirements-intel-after.txt so installRequirements doesn't
# try `pip install vllm` (would either fail or grab a non-XPU wheel).
_intel_after="${backend_dir}/requirements-intel-after.txt"

View File

@@ -4,4 +4,7 @@
# instead — the cublas13 case in install.sh adds --index-strategy=unsafe-best-match
# so uv consults this index alongside PyPI.
--extra-index-url https://wheels.vllm.ai/0.23.0/cu130
# VERSION COUPLING: darwin/Apple-Silicon builds use vllm-metal (see install.sh),
# which pins this exact vLLM version. Bumping vllm here means coordinating with a
# vllm-metal release that supports the new version, or macOS/Metal builds break.
vllm==0.23.0