Commit ffce306
feat(bodhiapp): add GPU-accelerated base images infrastructure and release automation
Introduce complete Docker base image system supporting 7 GPU/NPU architectures with
automated build workflows and upstream synchronization tools.
## Base Images Infrastructure
Added production-ready Docker base images in .devops/base-images/:
- CPU (x86_64, arm64) - Portable builds with all CPU optimizations
- CUDA - NVIDIA GPU (CUDA 12.4.0, compute 7.0+)
- ROCm - AMD GPU (ROCm 7.0, gfx803-gfx1201)
- Vulkan - Cross-vendor GPU (SDK 1.4.321.1)
- MUSA - Moore Threads GPU (rc4.3.0)
- Intel - Intel GPU/SYCL (OneAPI 2025.2.2)
- CANN - Huawei Ascend NPU (8.1.rc1, x86_64+arm64)
Key features:
- Platform-triple folder structure: /app/bin/<platform>/<variant>/llama-server
- Embedded version metadata (BUILD_VERSION, BUILD_COMMIT, BUILD_TIMESTAMP, BUILD_BRANCH)
- Non-root user (llama:llama), health checks, comprehensive labels
- rpath configuration for reliable library loading
- No ENTRYPOINT (BodhiApp defines its own)
Automated GitHub Actions workflow (.github/workflows/base-images.yml):
- Parallel builds for all 7 variants
- Multi-platform support (linux/amd64, linux/arm64 where applicable)
- Publishes to ghcr.io/bodhisearch/llama.cpp
- Generates detailed release artifacts (build-info JSONs, release.json)
- Tag format: base-images/vYYYYMMDDHHMM-hash
## Release Management Simplification
Consolidated release logic in Makefile.bodhiapp (~80 lines reduced):
- Changed timestamp format: YYMMDDHHMM → YYYYMMDDHHMM (eliminated platform-specific date parsing)
- Unified release functions (llama-server and base-images share same logic)
- Added reusable helper functions for dockerfile checking and validation
- Streamlined version extraction in GitHub workflows
## Upstream Synchronization
Added tools for syncing with upstream llama.cpp:
- `make sync-upstream-check` - Dry-run analysis showing commits and critical file changes
- `make sync-upstream` - Automated rebase preserving [Amir] commits
- Dockerfile change detection for .devops/*.Dockerfile files
- Claude Code agent (.claude/agents/upstream-sync-reviewer.md) for AI-assisted integration
- Comprehensive documentation in README-bodhiapp.md (719 lines)
The agent automates:
- Parsing sync output and identifying Dockerfile changes
- Mapping upstream .devops/*.Dockerfile → .devops/base-images/*.Dockerfile
- Preserving BodhiApp patterns (metadata, folder structure, labels, health checks)
- Applying upstream improvements (versions, CMake flags, dependencies)
## Files Changed
New files (15):
- 7 Dockerfiles (.devops/base-images/*.Dockerfile) - Total 843 lines
- 2 workflows (.github/workflows/base-images.yml, llama-server.yml) - 1,468 lines
- 1 reusable action (.github/actions/create-build-info/) - 101 lines
- Documentation (README-bodhiapp.md, ai-docs/*.md) - 1,277 lines
- Automation (.claude/agents/upstream-sync-reviewer.md) - 224 lines
- Build system (.devops/base-images/Makefile) - 136 lines
Modified files (4):
- Makefile - Include BodhiApp targets
- Makefile.bodhiapp - Added 331 lines (release functions, sync targets, helpers)
- .gitignore - Ignore build/ and bin/local/
Total: 4,792 insertions, 7 deletions across 19 files
## Migration Notes
For existing BodhiApp deployments:
1. Update Dockerfile FROM: ghcr.io/bodhisearch/llama.cpp:latest-<variant>
2. Update BODHI_LLAMA_SERVER_PATH to: /app/bin/<platform-triple>/<variant>/llama-server
3. For upstream sync: Add 'gg' remote → github.com/ggml-org/llama.cpp
Co-Authored-By: Claude Code <noreply@anthropic.com>1 parent c7be9fe commit ffce306
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