ci: add Gitea workflow to build fork CUDA image
Build CUDA image (fork) / build (push) Failing after 2m23s

Add a Gitea Actions workflow and multi-stage Containerfile that build
this fork's llama-swap (serial scheduler + embedded Svelte UI) from
source and layer it on a pinned llama.cpp CUDA server base, then push to
the Gitea container registry as v230-cuda-b9821.

- docker/fork-cuda.Containerfile: node UI -> go build -> cuda runtime,
  runs as root to match the upstream non-suffixed image
- .gitea/workflows/build-cuda-image.yml: workflow_dispatch (version +
  llama.cpp build inputs) and push-on-build-files; logs in with
  REGISTRY_USER/REGISTRY_PASSWORD

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
2026-06-28 12:48:48 -04:00
parent 542b79dacf
commit 617c7dc6b9
2 changed files with 148 additions and 0 deletions
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name: Build CUDA image (fork)
# Builds this fork's llama-swap (serial scheduler + embedded UI) from source and
# layers it on a pinned llama.cpp CUDA server base, then pushes to the Gitea
# container registry, e.g. gitea.stevedudenhoeffer.com/steve/llama-swap:v230-cuda-b9821
#
# Requires repo secrets: REGISTRY_USER, REGISTRY_PASSWORD (push to the registry).
on:
workflow_dispatch:
inputs:
llama_swap_version:
description: "llama-swap version label (image tag prefix)"
required: false
default: "v230"
llamacpp_build:
description: "llama.cpp CUDA server build (base image tag suffix)"
required: false
default: "b9821"
# Building the build definition itself kicks off a fresh image.
push:
branches: [main]
paths:
- ".gitea/workflows/build-cuda-image.yml"
- "docker/fork-cuda.Containerfile"
env:
REGISTRY: gitea.stevedudenhoeffer.com
jobs:
build:
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v4
- name: Compute image metadata
id: meta
run: |
LS_VER="${{ inputs.llama_swap_version || 'v230' }}"
LCPP="${{ inputs.llamacpp_build || 'b9821' }}"
{
echo "image=${REGISTRY}/${{ github.repository }}"
echo "tag=${LS_VER}-cuda-${LCPP}"
echo "base_tag=server-cuda-${LCPP}"
echo "ls_version=${LS_VER}"
echo "build_date=$(date -u +%Y-%m-%dT%H:%M:%SZ)"
} >> "$GITHUB_OUTPUT"
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Log in to Gitea registry
uses: docker/login-action@v3
with:
registry: ${{ env.REGISTRY }}
username: ${{ secrets.REGISTRY_USER }}
password: ${{ secrets.REGISTRY_PASSWORD }}
- name: Build and push
uses: docker/build-push-action@v6
with:
context: .
file: docker/fork-cuda.Containerfile
push: true
provenance: false
build-args: |
BASE_TAG=${{ steps.meta.outputs.base_tag }}
LS_VERSION=${{ steps.meta.outputs.ls_version }}
GIT_HASH=${{ github.sha }}
BUILD_DATE=${{ steps.meta.outputs.build_date }}
tags: ${{ steps.meta.outputs.image }}:${{ steps.meta.outputs.tag }}
- name: Summary
run: |
echo "Pushed ${{ steps.meta.outputs.image }}:${{ steps.meta.outputs.tag }}" >> "$GITHUB_STEP_SUMMARY"
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# Build a CUDA llama-swap image FROM THIS FORK's source (includes the serial
# scheduler) and layer it on a pinned llama.cpp CUDA server base. Produces e.g.:
# gitea.stevedudenhoeffer.com/steve/llama-swap:v230-cuda-b9821
#
# BASE_TAG selects the llama.cpp CUDA runtime + llama-server build, e.g.
# "server-cuda-b9821". The llama-swap binary (with the embedded Svelte UI) is
# compiled from the repo at build time, so no GitHub release is required.
#
# Build context is the repo root:
# docker build -f docker/fork-cuda.Containerfile \
# --build-arg BASE_TAG=server-cuda-b9821 -t llama-swap:v230-cuda-b9821 .
ARG BASE_IMAGE=ghcr.io/ggml-org/llama.cpp
ARG BASE_TAG=server-cuda-b9821
# ---- Stage 1: build the Svelte UI (embedded into the binary) ----
FROM node:22-bookworm-slim AS ui
WORKDIR /src/ui-svelte
# Install deps first for layer caching.
COPY ui-svelte/package.json ui-svelte/package-lock.json ./
RUN npm ci
COPY ui-svelte/ ./
# `npm run build` is `vite build --emptyOutDir`; vite.config.ts writes to
# ../internal/server/ui_dist, which //go:embed picks up in the next stage.
RUN mkdir -p /src/internal/server && npm run build
# ---- Stage 2: build the llama-swap binary with the embedded UI ----
FROM golang:1.26-bookworm AS build
WORKDIR /src
# Cache modules independently of source churn.
COPY go.mod go.sum ./
RUN go mod download
COPY . .
# Overlay the freshly built UI so //go:embed ui_dist ships the real assets
# instead of the committed placeholder.
COPY --from=ui /src/internal/server/ui_dist/ ./internal/server/ui_dist/
ARG LS_VERSION=v230
ARG GIT_HASH=unknown
ARG BUILD_DATE=unknown
RUN CGO_ENABLED=0 GOOS=linux go build \
-ldflags="-X main.version=${LS_VERSION} -X main.commit=${GIT_HASH} -X main.date=${BUILD_DATE}" \
-o /out/llama-swap .
# ---- Stage 3: runtime image on the pinned llama.cpp CUDA base ----
FROM ${BASE_IMAGE}:${BASE_TAG}
# Run as root by default to match the upstream `vNNN-cuda-bNNNN` (non-suffixed)
# image that ragnaros pulls today: it needs root to reach the mounted docker
# socket for container-backed models (sd-server). Override UID/GID at build time
# for a non-root variant.
ARG UID=0
ARG GID=0
ARG USER_HOME=/root
ENV HOME=$USER_HOME
RUN set -eux; \
if [ "$UID" -ne 0 ]; then \
if [ "$GID" -ne 0 ]; then groupadd --system --gid "$GID" app; fi; \
useradd --system --uid "$UID" --gid "$GID" --home "$USER_HOME" app; \
fi; \
mkdir --parents "$HOME" /app; \
chown --recursive "$UID:$GID" "$HOME" /app
COPY --from=build --chown=$UID:$GID /out/llama-swap /app/llama-swap
COPY --chown=$UID:$GID docker/config.example.yaml /app/config.yaml
USER $UID:$GID
WORKDIR /app
ENV PATH="/app:${PATH}"
HEALTHCHECK CMD curl -f http://localhost:8080/ || exit 1
ENTRYPOINT [ "/app/llama-swap", "-config", "/app/config.yaml" ]