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Millrace

v0.15.1 Feature

This release adds 5 notable features for engineering teams evaluating rollout.

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

✓ No known CVEs patched in this version

Topics

agent-loop agentic-ai-development agentic-coding agentic-engineering agentic-framework agentic-workflow
+7 more
autonomous-agents governed-autonomy governed-loop harness-engineering loop-engineering runtime-engine runtime-engineering

Summary

AI summary

Completes the Learning plane control surface and adds runtime evaluation of compiled learning trigger rules.

Full changelog

Highlights

  • Completes the Learning plane control surface for runtime-generated learning work.
  • Adds runtime evaluation of compiled learning trigger rules and queues targeted learning requests.
  • Allows targeted learning requests to start directly at the requested learning stage, such as Curator.
  • Surfaces learning queue depth and learning status in millrace status show.
  • Preserves skill revision evidence per stage request and labels learning stage requests as learning_request.

Verification

  • uv run --with ruff ruff check src/millrace_ai tests
  • uv run --with mypy mypy src/millrace_ai
  • uv run pytest -q
  • uv build
  • uv run --with twine twine check dist/*
  • Fresh Learning plane E2E: workspaces/learning-plane-e2e-003/e2e_report.json with overall_success: true

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Beta — feedback welcome: [email protected]