Agent platforms lock in model diversity.
Fixes drained tool handling in agent ToolNodes to halt execution correctly on interrupts.
Ensures that cancelled agent runs terminate cleanly instead of feeding failure messages back into the loop.
Adds CPython runtimes up to 3.15.2 and reduces memory consumption during large workspace resolution.
Accelerates environment setup and workspace locking while lowering overhead across heavy Python dependency graphs.
Engineering teams adopting modern agent runtimes and package managers benefit from tighter control over execution flow and significantly reduced memory pressure when scaling large dependency workspaces; teams should test it in a reversible pilot before adoption.
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