Run python nodes out of process, with modules of their own
User code no longer execs in the engine. A pool of persistent worker subprocesses speaks one JSON object per line; the controller installs a proxy as the node's function, so every execution path funnels through it and the pipeline is untouched. A crash costs one subprocess, a per-node timeout is a kill, and cancelling from the canvas is that same kill. The workers run a venv of the user's own on the data volume, filled from a pip manifest versioned beside the flows. Applying it retires the workers and rebuilds, so a package lands without restarting the engine. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_017MeiWk3Yq12n2pTvnQWYvt
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@@ -4,6 +4,7 @@ import {
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KeyRound,
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LayoutDashboard,
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LogOut,
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Package,
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Settings,
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Users,
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Workflow,
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@@ -28,6 +29,7 @@ const baseItems: Item[] = [
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// Both are engine-wide operator settings rather than personal ones, so they
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// sit here and not among the per-user tabs under Settings.
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{ icon: KeyRound, title: "Secrets", path: "/secrets" },
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{ icon: Package, title: "Modules", path: "/modules" },
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{ icon: Bell, title: "Alerts", path: "/alerts" },
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]
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