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v3.18.1 Bugfix

This release fixes issues for SREs watching stability and regressions.

✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

agentic-ai agentic-framework agentic-workflow agents ai-agents ai-assistant
+14 more
ai-coding ai-skills autonomous-agents claude-code codex harness mcp-server multi-agent multi-agent-systems npm skills swarm swarm-intelligence typescript

Summary

AI summary

Fixed incorrect "Install @ruvector/ruvllm" status and removed false 'ruvllm checkpoints enabled' claim.

Full changelog

Patch release fixing #2549 (reported by @pacphi — exemplary report with dist-verified line numbers and a capability-vs-environment proof).

Fixed

  • neural status reported the bundled @ruvector/ruvllm training path as Unavailable — Install @ruvector/ruvllm even though the module was installed and functional. Two defects: a dead _trainingBackend variable (declared, returned, never assigned) and contrastive availability read only from an in-process global a fresh status process never populates.
  • Backend now comes from a capability probe (resolveTrainingBackend() — module resolution, pipeline stays lazy); Contrastive Trainer has three honest states (Active with session counts / Available — ready on demand / genuinely Unavailable); the Install hint only shows on true resolution failure.
  • Dropped the 'ruvllm checkpoints enabled' claim — upstream saveCheckpoint() (@ruvector/ruvllm 2.5.6) verifiably writes no file; tracked separately.

Not in this release (follow-ups from #2549 triage)

  • Routing neural train through the native TrainingPipeline
  • Upstream checkpoint persistence fix

PR: #2554 · Regression test pins the capability contract in both resolve/no-resolve environments.

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About claude-flow

Deploy multi-agent swarms with coordinated workflows.

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Related context

Beta — feedback welcome: [email protected]