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automaton/tasks/complete/fix-vram-model-prefix-match/CODE_REVIEW.md
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Archive completed tasks, add cleanup commands, self-documenting dashboard UI
- Archive 79 completed framework-dev tasks from tasks/ -> tasks/complete/
- status.py: add --cleanup-done and --install-cleanup-schedule commands
- Add scripts/automaton-cleanup.sh for periodic task archiving
- Dashboard: rename 'Background' tab -> 'Agent', 'Cleanup' agent -> 'Completed Task Archiver', remove redundant group headers and pill badges, dim inactive agent placeholders
- .rules.md: add Self-Documenting UI Names rule
- New tests: test_cleanup_done.py, expanded test_app.py and test_task.py
2026-06-24 22:43:33 -04:00

1014 B

Code Review: fix-vram-model-prefix-match

Reviewed Files

  • scripts/vram_detect.py (_lookup_model_context(), _KNOWN_MODEL_SUFFIXES)

Changes

Replaced raw startswith() with three-tier matching: exact match, : separator (Ollama tags), and - separator with known instruction-tuning suffix whitelist.

Analysis

  • Correctness: The three-tier approach correctly handles all test cases:
    • deepseek-r1:7b matches via : separator ✓
    • llama-3.1-8b-instruct matches via - + instruct suffix ✓
    • phi-4-mini-instruct rejected (mini not in suffixes) ✓
    • gpt-4o-foo-unknown rejected (foo not in suffixes) ✓
    • phi-40 rejected (no separator) ✓
  • Edge cases: gpt-4-turbo is in the dict directly, so it matches via exact match (checked before gpt-4 due to length-descending sort)
  • Maintainability: The suffix whitelist is explicit and easy to extend

Verdict: PASS

The fix is well-structured, handles all edge cases correctly, and is properly tested.