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Archive completed tasks, add cleanup commands, self-documenting dashboard UI
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- 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
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2026-06-24 22:43:33 -04:00
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tasks/runnable-test-suite/subtasks/vram-detect-cross-platform/IMPLEMENTATION.md
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# IMPLEMENTATION — vram-detect-cross-platform
**Implementer:** local LLM (gemma-4-26B-A4B-it-uncensored-Q4_K_M.gguf via headroom @ localhost:8787, model id `local-llm`)
**Orchestrator:** opencode (glm-5.2)
## What changed in `scripts/vram_detect.py`
| Function | Author | Change |
|---|---|---|
| `import platform` (new top-level import) | Orchestrator (mechanical) | Added to support `platform.system()` dispatch |
| `detect_gpu_vram()` | Local LLM | Branched on `platform.system()`. Linux: unchanged. Darwin: `system_profiler SPDisplaysDataType` parser (Apple Silicon → unified memory via `sysctl -n hw.memsize`; Intel Macs → `VRAM (Total):`). Windows: `wmic path win32_VideoController get AdapterRAM,Name /format:list` + PowerShell fallback. |
| `detect_ram()` + `_detect_ram_linux/_darwin/_windows()` | Local LLM + Orchestrator refactor | Local LLM produced inline branches; Orchestrator extracted private helpers to match subtask-3 test contract (`_detect_ram_linux()`). Linux path byte-identical. macOS: `sysctl hw.memsize` (no available RAM, reports total). Windows: `wmic` + PowerShell fallback. |
| `MODEL_CONTEXT_WINDOWS` | Local LLM | Added 14 local-LLM entries (llama-3.1, qwen2.5, mistral, deepseek-r1/v3, glm-4/4.5, gemma-2, phi-3/4) with source-cited context sizes. Conservative values where YaRN extends context. |
| `_probe_ollama_model()` (new) | Local LLM | Calls `ollama list`, parses first non-header row's NAME column, strips `:latest`. Returns None on any error or if ollama not installed. |
| `detect_model_context()` | Orchestrator (mechanical wire-up) | Calls `_probe_ollama_model()` as last-resort fallback after all config-file probes fail. |
| `run_command()` | Local LLM | On Windows, if first cmd arg starts with `Get-` or contains `CimInstance`, rewrites cmd to `['powershell', '-NoProfile', '-NoLogo', '-Command', ' '.join(cmd)]` before `shutil.which` check. Preserves Linux behavior. |
## BEFORE vs AFTER on this Darwin arm64 (Apple M5, 32GB)
- **BEFORE:** `gpu_vram_gb: 0` (macOS not supported, falls through to "no GPU")
- **AFTER:** `gpu_vram_gb: 32`, `GPU: Apple Silicon (unified memory)`, `Total System RAM (Shared VRAM): 32768 MB`
- Target context correctly jumped 12k → 42k (reflects shared VRAM budget).
- JSON shape unchanged (same 8 keys, same order, same types).
## Anti-spin rails that fired
- **Signature mismatch on `_detect_ram_linux()`:** subtask-3's test expected a private helper; local LLM's first refactor put Linux path inline in `detect_ram()`. Orchestrator (me) extracted the helper to match the test contract — NOT weakening the test, the opposite: making code more testable per the contract.
- All other local-LLM output was applied verbatim after passing py_compile.
## Streak verifier result
```
STREAK_COMPLETE attempt=1 clean=10/10
```
The independent checker model (the streak verifier, per article #2/#9/#13) ran the full suite 10 consecutive times with no edits between. The worker (local LLM) did not grade its own homework.
## Test count
- 235 passed (was 224; subtask-3 added 11 cross-platform tests).
- 0 errors, 0 skipped.
- Suite runtime ~3.5s.
## Files touched (and ONLY this file)
- `scripts/vram_detect.py` (+ 1 new top-level import, +14 dict entries, +1 new helper function `_probe_ollama_model`, refactor of 3 existing functions, +1 new branch in `run_command`, +1 wire-up call in `detect_model_context`)