v0.4.0 — ai-rm L1 accelerator abstraction

Repositioned as the L1 accelerator abstraction of ai-rm.

Added

• ai-rm protocol v0.1 adapter rm_abstract.airm: AcceleratorProvider rm-abstract
  (entry point airm.accelerator_providers), discovery through read-only vendor tools with
  HardwareDetector as fallback, datasheet peak_tflops for RNGD and ATOM.
• Node daemon python -m rm_abstract.airm.daemon: AcceleratorProfile per device, node labels
  airm.ai-computing.io/<vendor>.<model>, airm_accelerators on /metrics.
• Helm chart deploy/helm/rm-abstract-node (DaemonSet, RBAC).
• ai-rm.yaml component manifest; dependency on rm-core v0.1.1.
• tools/check_sensitive.py and a CI job that scans every push.
• README in English with a Korean translation (README.ko.md).

Changed

• Package metadata: description, keywords, authors and URLs now point to ai-computing.
• Ruff configuration moved to [tool.ruff.lint]; code formatted with ruff and black.
• CI runs the full rm_core.conformance and a daemon dry-run; mypy is reported but non-blocking
  while existing type errors are fixed.
• test_all_examples.sh → scripts/run_examples.sh (no hard-coded path);
  test_multi_engine.py → scripts/manual/multi_engine_check.py.

Moved

• CLEANUP_SUMMARY.md, docs/FINAL_TEST_REPORT.md, docs/TEST_RESULTS.md and
  docs/PRESENTATION.md → docs/archive/ (point-in-time, not maintained).