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…a.cpp - Add YAML anchors for common configurations (x-common-config, x-huggingface-cache, x-auth-config, etc.) - Reduce code duplication by ~200+ lines across services - Make llama.cpp image configurable via LLAMACPP_IMAGE environment variable - Resolve ARM64/AMD64 platform compatibility issues - Improve maintainability through centralized configuration patterns
- Add --timeout 300 and --retries 3 flags to pip install - Resolve intermittent build failures when downloading large packages (onnxruntime) - Improve build reliability for CI/CD and slower network connections
- Document configurable llama.cpp Docker image option - Provide examples for different architectures (ARM64, AMD64, CUDA) - Keep .env.example in sync with docker-compose.yml capabilities
🤖 Augment PR SummarySummary: Improves Docker-based dev/deploy ergonomics by making the llama.cpp decoder image configurable and increasing build robustness. 🤖 Was this summary useful? React with 👍 or 👎 |
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| # Llama.cpp decoder service configuration | ||
| # Default: ghcr.io/ggml-org/llama.cpp:server (multi-arch) | ||
| # ARM64 specific: ghcr.io/ggml-org/llama.cpp:server-cuda (if needed) | ||
| # Alternative: local builds or custom images |
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The comment says server-cuda is “ARM64 specific”, but CUDA-tagged images are typically for NVIDIA/CUDA (often x86_64) and may not be ARM64/multi-arch; this could mislead users into selecting an incompatible image.
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Updated comment.
- Fix misleading comment about server-cuda being ARM64-specific - CUDA images are for NVIDIA GPU support, not ARM64 architecture - Clarify that server-cuda is for NVIDIA GPUs (typically x86_64)
…rameter - Add missing on_disk_payload parameter to FakeClient mock in test_ingest_schema_mode.py - Resolves TypeError: FakeClient.create_collection() got an unexpected keyword argument 'on_disk_payload' - Ensures test mocks match the real Qdrant client interface which includes this parameter
m1rl0k
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…-optimizations Feature/docker compose optimizations
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🐳 Docker Compose Optimization: YAML Anchors & Configurable Services
Summary
Significantly improves Docker Compose maintainability by introducing YAML anchors and making llama.cpp image configurable.
Changes
x-common-config,x-huggingface-cache, etc.) reducing ~200+ lines of duplicationLLAMACPP_IMAGEenvironment variable for ARM64/AMD64 compatibilityBenefits
Testing
Migration
No breaking changes. Optionally set
LLAMACPP_IMAGEin your.envfor custom images.