name: 'llama.cpp paged patches: upstream canary'

# EARLY-WARNING CANARY for the vendored paged-attention patch series
# (backend/cpp/llama-cpp-localai-paged/patches/paged/0001-0030).
#
# WHY THIS EXISTS
# The paged backend (backend/cpp/llama-cpp-localai-paged) pins its OWN verified
# llama.cpp tip (LLAMA_VERSION in backend/cpp/llama-cpp-localai-paged/Makefile)
# and is intentionally EXCLUDED from the nightly auto-bumper
# (.github/workflows/bump_deps.yaml), so a naive upstream bump can never silently
# break the shipped build. The cost of that safety: nobody finds out when
# upstream DRIFTS past the patches. This canary restores that signal WITHOUT
# touching the shipped pin - weekly it tries the patch series + a real compile
# against the LATEST llama.cpp master tip and goes red the moment upstream breaks
# the patches.
#
# RED HERE means: time to run a PIN_SYNC (rebase the patches onto the new tip,
# pass the bit-exact gate on the GPU, re-export the .patch files, THEN advance
# the pin in backend/cpp/llama-cpp-localai-paged/Makefile). See
# backend/cpp/llama-cpp-localai-paged/patches/paged/PIN_SYNC_c299a92c.md.
#
# SIGNAL-ONLY: this workflow moves no pinned version, ships nothing, and is fully
# decoupled from bump_deps - so the main dep-bump PR stays green regardless. A
# green run means "the paged series still applies and compiles on upstream HEAD";
# a red run means "upstream moved - schedule a pin-sync".

on:
  schedule:
    # Weekly (Mondays 06:00 UTC), mirroring the weekly DEPS_REFRESH / bump_deps
    # cadence. Offset from bump_deps' nightly 20:00 so the two never pile up.
    - cron: '0 6 * * 1'
  workflow_dispatch:

permissions:
  contents: read

concurrency:
  group: llama-cpp-paged-canary
  cancel-in-progress: false

env:
  # Upstream source of truth - the same repo/branch bump_deps tracks for the
  # stock llama-cpp pin.
  LLAMA_UPSTREAM: 'https://github.com/ggml-org/llama.cpp'

jobs:
  apply-check:
    # Cheap, fast, toolchain-free early warning: does the series still APPLY to
    # the latest upstream tip? A patch no longer applying is by far the most
    # common way upstream breaks a vendored series, so this runs first, is
    # reliable on a free runner, and feeds the resolved tip to the compile job.
    if: github.repository == 'mudler/LocalAI'
    runs-on: ubuntu-latest
    timeout-minutes: 20
    outputs:
      tip: ${{ steps.resolve.outputs.tip }}
    steps:
      - name: Checkout LocalAI
        uses: actions/checkout@v7

      - name: Resolve latest llama.cpp master tip
        id: resolve
        run: |
          tip="$(git ls-remote "$LLAMA_UPSTREAM" refs/heads/master | cut -f1)"
          if [ -z "$tip" ]; then
            echo "::error::could not resolve llama.cpp master tip from $LLAMA_UPSTREAM"
            exit 1
          fi
          pin="$(grep -m1 'LLAMA_VERSION?=' backend/cpp/llama-cpp-localai-paged/Makefile | cut -d= -f2)"
          echo "latest llama.cpp master tip: $tip"
          echo "shipped paged pin:           $pin"
          echo "tip=$tip" >> "$GITHUB_OUTPUT"
          {
            echo "## llama.cpp paged canary"
            echo ""
            echo "- upstream master tip: \`$tip\`"
            echo "- shipped paged pin:   \`$pin\`"
          } >> "$GITHUB_STEP_SUMMARY"

      - name: Checkout llama.cpp at latest tip (shallow)
        run: |
          mkdir -p /tmp/llama.cpp
          cd /tmp/llama.cpp
          git init -q
          git remote add origin "$LLAMA_UPSTREAM"
          git fetch -q --depth 1 origin "${{ steps.resolve.outputs.tip }}"
          git checkout -q FETCH_HEAD
          git log --oneline -1

      - name: Apply paged patch series (build's git-apply method)
        run: |
          bash .github/scripts/paged-canary-apply.sh \
            /tmp/llama.cpp \
            "$PWD/backend/cpp/llama-cpp-localai-paged/patches"
          echo "- apply: full paged series applies to the upstream tip :white_check_mark:" >> "$GITHUB_STEP_SUMMARY"

  compile:
    # Proves the patches still COMPILE against the latest tip, using the SAME
    # toolchain + build target the shipped paged backend uses (the
    # base-grpc-cuda-12 builder base + the Makefile `grpc-server` cublas target),
    # so a failure means upstream drift, not toolchain noise. CUDA is compiled
    # (nvcc; no GPU required) because most of the paged series is CUDA kernels.
    # Runs only if the apply check passed, on the exact tip it validated.
    #
    # If a full CUDA compile on the hosted runner ever proves too heavy/flaky,
    # switch `runs-on` to 'bigger-runner' (the runner class the real paged CUDA
    # build uses), or drop to a CPU build (BUILD_TYPE='') which still compiles
    # all host + CPU paged code, leaving CUDA-kernel coverage to the apply check
    # plus the manual PIN_SYNC GPU gate.
    needs: apply-check
    if: github.repository == 'mudler/LocalAI'
    runs-on: ubuntu-latest
    timeout-minutes: 180
    steps:
      - name: Checkout LocalAI
        uses: actions/checkout@v7

      - name: Free disk space
        uses: ./.github/actions/free-disk-space
        with:
          mode: hosted

      - name: Login to Quay.io
        uses: docker/login-action@v4
        with:
          registry: quay.io
          username: ${{ secrets.LOCALAI_REGISTRY_USERNAME }}
          password: ${{ secrets.LOCALAI_REGISTRY_PASSWORD }}

      - name: Compile paged backend against latest tip (cublas)
        env:
          TIP: ${{ needs.apply-check.outputs.tip }}
          BUILDER_BASE_IMAGE: 'quay.io/go-skynet/ci-cache:base-grpc-cuda-12-amd64'
        run: |
          docker run --rm \
            -v "$PWD":/LocalAI -w /LocalAI \
            -e TIP -e LLAMA_UPSTREAM \
            "$BUILDER_BASE_IMAGE" bash -euxo pipefail -c '
              # Mirror the Dockerfile: gRPC lives at /opt/grpc in the base image;
              # copy it to the prefix CMake find_package expects.
              cp -a /opt/grpc/. /usr/local/

              # Pre-populate the llama.cpp checkout at the latest tip with the
              # paged series applied via the tolerant canary apply. Because
              # backend/cpp/llama-cpp/llama.cpp now exists, the stock Makefile's
              # llama.cpp target (clone + base-patch apply) is skipped and the
              # now patch-free prepare.sh only copies the grpc-server sources -
              # so we drive the REAL grpc-server build path on top of our paged
              # apply. The stock llama-cpp backend no longer carries the paged
              # series (it lives in backend/cpp/llama-cpp-localai-paged/patches/
              # paged); we build it here in the stock dir only because that is
              # where the shared build infra (Makefile / grpc-server.cpp /
              # CMakeLists.txt / prepare.sh) lives.
              cd backend/cpp/llama-cpp/
              mkdir -p llama.cpp
              cd llama.cpp
              git init -q
              git remote add origin "$LLAMA_UPSTREAM"
              git fetch -q --depth 1 origin "$TIP"
              git checkout -q FETCH_HEAD
              cd /LocalAI
              bash .github/scripts/paged-canary-apply.sh \
                backend/cpp/llama-cpp/llama.cpp \
                "$PWD/backend/cpp/llama-cpp-localai-paged/patches"

              # Cheapest real CUDA build that proves the patches compile: one
              # CUDA arch, cublas. CMAKE_ARGS is passed via the environment (not
              # as a make arg) so the Makefile += flags are still appended,
              # exactly like .docker/llama-cpp-localai-paged-compile.sh. The paged
              # series is already applied to the checkout above, so the stock
              # build just compiles the patched tree.
              cd backend/cpp/llama-cpp/
              BUILD_TYPE=cublas \
              CMAKE_ARGS="-DCMAKE_CUDA_ARCHITECTURES=80" \
              make grpc-server
              test -x grpc-server
            '
          echo "- compile: paged series builds (cublas) against the upstream tip :white_check_mark:" >> "$GITHUB_STEP_SUMMARY"