[fork] Deterministic-tag patch model + migrate audio image build - #1
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Establishes the fork's "deterministic tag + patches on top" model. Upstream vLLM source stays pristine; everything the fork owns lives under fork/. Patches (pure-Python upstream backports, generated against v0.25.1): 0001 Restrict embedding-width share guard to EAGLE drafts (upstream vllm-project#47953) - fixes Gemma-4 MTP boot crash from the vllm-project#43957 regression in v0.25.1 0002 Advance grammar across reasoning boundary (upstream vllm-project#44993, src only) - fixes structured-output corruption under reasoning + spec decode (vllm-project#43388) Tooling: fork/docker/apply-patches.sh applies the series to installed vLLM (fail-closed) fork/scripts/refresh-patches.sh rebases the series onto a new release tag (lockstep) See FORK.md for the release/lockstep process. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Moves the vLLM engine image build into this fork so production-stack owns only
the router. The image layers the audio extra AND the fork patch series onto the
prebuilt vllm/vllm-openai:${BASE_TAG} release (no from-source rebuild).
Unlike the production-stack version it pins a deterministic base tag
(DEFAULT_BASE_TAG=v0.25.1) instead of auto-following latest, matching the
fork's lockstep-per-release model. Publishes docker.io/openimage/vllm-openai-audio
under the base tag and :latest; needs DOCKERHUB_USERNAME/DOCKERHUB_TOKEN secrets.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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What
Sets up this fork's clean deterministic-tag + patches-on-top model and moves
the vLLM engine image build here from
Mazyod/production-stack(which now ownsonly the router).
Fork patch series (applied on the
v0.25.1tag){{/{"{corruption under reasoning + spec decode (vllm-project#43388)Both are pure-Python upstream backports. Patch 0002 carries source only (its test
file isn't in the runtime image).
Layout (nothing intermingles with upstream source)
fork/patches/— the delta, one file per backport +seriesfork/docker/Dockerfile.audio—FROM vllm/vllm-openai:${BASE_TAG}+vllm[audio]+ patchesfork/docker/apply-patches.sh— applies the series to installed vLLM (fail-closed)fork/scripts/refresh-patches.sh— rebases the series onto a new release tag (lockstep).github/workflows/build-vllm-audio.yml— pinned toDEFAULT_BASE_TAG=v0.25.1FORK.md/fork/README.md— purpose, model, and release processImage
docker.io/openimage/vllm-openai-audio:v0.25.1(+:latest). The build layersonto the prebuilt upstream release — vLLM is not rebuilt from source.
Testing done
v0.25.1viagit apply --checkandpatch -p1 --dry-run.refresh-patches.sh v0.25.1round-trips byte-identically (idempotent).bash -nclean;docker build --checkonDockerfile.audioresolves the base tag and parses clean.fork/v0.25.1branch isv0.25.1+ the two patch commits, for local testing.The full CUDA image build + audio-import + patch-presence checks run in CI on merge.
🤖 AI-assisted (Claude Code). Merging to
mainactivates the scheduled/dispatch pipeline.