docs(readme): clarify PyPI canonical vs git mirror staleness
The existing README warns 'don't edit here, edit molecule-core/workspace/' but doesn't address the asymmetry that bites consumers most often: the PyPI wheel and this repo's git tree are not the same snapshot. publish-runtime.yml builds the wheel from molecule-core staging HEAD and uploads to PyPI on every tag. The git mirror push is a separate step and can lag by hours (or be skipped on transient failure) while the wheel still ships. So 'is module X in the published runtime?' can't be answered by browsing this repo — only the wheel listing is wire-truth. Adds a 'PyPI is canonical, this git tree may lag' section with a pip download + unzip recipe for verifying what's actually in a wheel. Doc-only. Does not change publish behavior or mirror-guard policy.
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README.md
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README.md
@ -50,6 +50,31 @@ workflow rebuilds this mirror + uploads the new wheel to PyPI.
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See [`docs/workspace-runtime-package.md`](https://github.com/Molecule-AI/molecule-core/blob/main/docs/workspace-runtime-package.md)
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for the full publishing flow.
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## PyPI is canonical, this git tree may lag
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**The PyPI wheel is the canonical artifact** for runtime consumers
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(workspace template images, the controlplane's runtime smoke harness,
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local `pip install` users). What's in PyPI and what's checked into this
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repo's git tree **may differ** — sometimes by hours, sometimes by days.
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Why: the [`publish-runtime`](https://github.com/Molecule-AI/molecule-core/blob/main/.github/workflows/publish-runtime.yml)
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workflow always publishes a fresh wheel built from `molecule-core`'s
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`staging` HEAD, but the git mirror push that updates this repo is a
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separate step and can lag (or, on transient failures, be skipped while
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the wheel still ships). The mirror exists for **human readability** and
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to give `mirror-guard` a concrete branch to enforce its
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"no direct PRs" policy against — not as the wire-truth artifact.
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**To check what's actually in a wheel:**
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```bash
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pip download molecule-ai-workspace-runtime==X.Y.Z --no-deps
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unzip -l molecule_ai_workspace_runtime-X.Y.Z-*.whl
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```
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If you're chasing "is module X in the published runtime yet?", trust
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the wheel listing, not this repo's `git log`.
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## Why this split
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The runtime needs to ship as a PyPI artifact (so the 8 workspace template
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