* feat: use uv sources for CPU-only PyTorch
Configure [tool.uv.sources] with pytorch-cpu index to avoid ~6GB CUDA
dependencies in Docker images. This replaces hardcoded wheel URLs with
a cleaner index-based approach.
- Add pytorch-cpu index with explicit = true
- Add torch/torchvision to [tool.uv.sources]
- Add explicit torch/torchvision deps to trigger source override
- Regenerate lockfile without nvidia/cuda/triton packages
- Add required-environments for multi-platform support
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* fix: update regex to only replace name in [project] section
The previous regex matched all lines starting with `name = "..."`,
which incorrectly renamed the UV index `pytorch-cpu` to `langflow-nightly`
during nightly builds. This caused `uv lock` to fail with:
"Package torch references an undeclared index: pytorch-cpu"
The new regex specifically targets the name field within the [project]
section only, avoiding unintended replacements in other sections like
[[tool.uv.index]].
* style: fix ruff quote style
* fix: remove required-environments to fix Python 3.13 macOS x86_64 CI
The required-environments setting was causing hard failures when packages
like torch didn't have wheels for specific platform/Python combinations.
Without this setting, uv resolves optimistically and handles missing wheels
gracefully at runtime instead of failing during resolution.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
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