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* 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> --------- Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>