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chore(deps): bump vllm from 0.25.1 to 0.26.0 in /backend/python/vllm #11402

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chore(deps): bump vllm from 0.25.1 to 0.26.0 in /backend/python/vllm #11402

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chore(deps): bump vllm from 0.25.1 to 0.26.0 in /backend/python/vllm
dependabot[bot] Aug 6, 2026
810425e
fix(vllm): pin Intel source build to release
localai-org-maint-bot Aug 10, 2026
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13 changes: 9 additions & 4 deletions backend/python/vllm/install.sh
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Original file line number Diff line number Diff line change
Expand Up @@ -168,7 +168,7 @@ if [ "$(uname -s)" = "Darwin" ]; then

# 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:
# triton-xpu. Mirrors the upstream procedure:
# https://github.com/vllm-project/vllm/blob/main/docs/getting_started/installation/gpu.xpu.inc.md
elif [ "x${BUILD_TYPE}" == "xintel" ]; then
# Hide requirements-intel-after.txt so installRequirements doesn't
Expand All @@ -194,18 +194,23 @@ elif [ "x${BUILD_TYPE}" == "xintel" ]; then

_vllm_src=$(mktemp -d)
trap 'rm -rf "${_vllm_src}"' EXIT
git clone --depth 1 https://github.com/vllm-project/vllm "${_vllm_src}/vllm"
# Keep the source build aligned with the version shipped by the other
# accelerator profiles. Building the moving main branch can silently pull
# a newer torch/XPU runtime than the selected oneAPI base image supports.
VLLM_VERSION="0.26.0"
git clone --depth 1 --branch "v${VLLM_VERSION}" \
https://github.com/vllm-project/vllm "${_vllm_src}/vllm"
pushd "${_vllm_src}/vllm"
# Install vllm's own runtime deps (torch-xpu, vllm_xpu_kernels,
# pydantic, fastapi, …) from upstream's requirements/xpu.txt — the
# canonical source of truth. Avoids re-pinning everything ourselves.
uv pip install ${EXTRA_PIP_INSTALL_FLAGS:-} -r requirements/xpu.txt
# Stock triton (NVIDIA-only) may have come in transitively; replace
# with triton-xpu==3.7.0 which matches torch 2.11.
# with the version vLLM 0.26.0 specifies for torch 2.12.
uv pip uninstall triton triton-xpu 2>/dev/null || true
uv pip install ${EXTRA_PIP_INSTALL_FLAGS:-} \
--extra-index-url https://download.pytorch.org/whl/xpu \
triton-xpu==3.7.0
triton-xpu==3.7.1
export CMAKE_PREFIX_PATH="$(python -c 'import site; print(site.getsitepackages()[0])'):${CMAKE_PREFIX_PATH:-}"
VLLM_TARGET_DEVICE=xpu uv pip install ${EXTRA_PIP_INSTALL_FLAGS:-} --no-deps .
popd
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2 changes: 1 addition & 1 deletion backend/python/vllm/requirements-l4t13-after.txt
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Expand Up @@ -9,4 +9,4 @@
# memory architecture crash deterministically with an empty "Engine core init
# failed" set (mudler/LocalAI#10722). Leaving this unpinned let the L4T image
# drift onto whatever wheel was latest at build time.
vllm==0.25.1
vllm==0.26.0
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