This release includes 2 breaking changes for platform teams planning a safe upgrade.
✓ No known CVEs patched in this version
Topics
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Affected surfaces
Summary
AI summaryEnforced minimum @ruvector/ruvllm version 2.5.7, fixed checkpoint directory creation, and corrected capability reporting.
Full changelog
Completes the #2549 arc: ruflo now actively uses the checkpoint persistence shipped in @ruvector/[email protected] (RuVector#637).
Changed
- Version floors
@ruvector/ruvllm >=2.5.7in the ruflo wrapper overrides, root npm overrides, and v3 pnpm overrides — every install path is guaranteed the fixed version neural traincheckpoints actually land:LoRAAdapter.saveCheckpointnow creates parent directories before writing — the JS fallback threw ENOENT on missing dirs and silently returned false, so the best-effort checkpoint never materialized even after the upstream fix- Version-gated capability reporting:
neural statusshows 'native @ruvector/ruvllm pipeline + disk checkpoints' only when the resolved ruvllm is >=2.5.7 — never advertises persistence a stale install can't deliver - Dev-tree hygiene: removed a stale npm-installed
@ruvector/[email protected]directory that had shadowed pnpm resolution since April
Proof
neural train -p coordination -e 2
→ .claude-flow/neural/lora-checkpoint-<ts>.json (format: ruvllm-checkpoint v1, 48KB)
#2549 status: neural-status reporting fixed (3.18.1) → upstream persistence fixed (@ruvector/ruvllm 2.5.7) → ruflo wired end-to-end (this release). Remaining follow-up: routing neural train fully through the native TrainingPipeline.
PR: #2555 · Upstream: ruvnet/RuVector#637
Breaking Changes
- Minimum version requirement for @ruvector/ruvllm increased to >=2.5.7 across all install paths (wrapper overrides, root npm overrides, v3 pnpm overrides).
- Removed stale `@ruvector/[email protected]` directory that shadowed resolution.
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Beta — feedback welcome: [email protected]