- **Restore 82 completed tasks** from tasks/complete/ back to tasks/ top level (all <7 days old per the cleanup policy; premature bulk archive was fixed). - **Dashboard: fix scroll-reset on auto-refresh** — renderBoard rebuilds the board via innerHTML every 2s, destroying each column-body's scrollTop. Now snapshots column-body scrollTop + board.scrollLeft + view.scrollTop before rebuild and restores after (matched by PHASE_GROUPS index). - **Dashboard UI additions** (pre-existing unstaged work): approval section cards, transition buttons, inline artifact editor (textarea for writing missing SPEC/VERDICT/etc from the detail modal). - **Bind ornith as Implement model** — config.md: Model explicit to omlx/Ornith-1.0-35B-4bit-mlx, context window 32768. Interactive autopilot already used ornith via opencode default; now explicit. - **Fix cleanup stub** — automaton-cleanup.sh had a stale --project arg pointing at a pytest temp dir (test isolation leak). Rewired to point at ~/.automaton. - **Fix plist-isolation test** — test asserted host plist doesn't exist, but a real install creates it. Now snapshots mtime before run, asserts unchanged after (only a write during the test counts as bleed). - **New Playwright smoke test** (tests/test_dashboard_ui.py) — 2 tests: board renders tasks, column scroll survives auto-refresh tick. Verified the test fails without the scroll fix (scrollTop resets to 0). Skipped via importorskip when playwright is absent (main CI stays green). - **Clarify SI loop scope in README** — new-project onboarding section documents the framework-scoped self-improvement loop and options (leave/pause/create project loop). - **CHANGELOG** documents all changes including the known model-divergence gap (mde tasks marked complete but per-role model binding was never implemented).
47 lines
3.3 KiB
Markdown
47 lines
3.3 KiB
Markdown
# IMPLEMENTATION — vram-detect-cross-platform
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**Implementer:** local LLM (gemma-4-26B-A4B-it-uncensored-Q4_K_M.gguf via headroom @ localhost:8787, model id `local-llm`)
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**Orchestrator:** opencode (glm-5.2)
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## What changed in `scripts/vram_detect.py`
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| Function | Author | Change |
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|---|---|---|
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| `import platform` (new top-level import) | Orchestrator (mechanical) | Added to support `platform.system()` dispatch |
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| `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. |
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| `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. |
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| `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. |
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| `_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. |
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| `detect_model_context()` | Orchestrator (mechanical wire-up) | Calls `_probe_ollama_model()` as last-resort fallback after all config-file probes fail. |
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| `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. |
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## BEFORE vs AFTER on this Darwin arm64 (Apple M5, 32GB)
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- **BEFORE:** `gpu_vram_gb: 0` (macOS not supported, falls through to "no GPU")
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- **AFTER:** `gpu_vram_gb: 32`, `GPU: Apple Silicon (unified memory)`, `Total System RAM (Shared VRAM): 32768 MB`
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- Target context correctly jumped 12k → 42k (reflects shared VRAM budget).
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- JSON shape unchanged (same 8 keys, same order, same types).
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## Anti-spin rails that fired
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- **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.
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- All other local-LLM output was applied verbatim after passing py_compile.
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## Streak verifier result
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```
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STREAK_COMPLETE attempt=1 clean=10/10
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```
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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.
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## Test count
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- 235 passed (was 224; subtask-3 added 11 cross-platform tests).
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- 0 errors, 0 skipped.
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- Suite runtime ~3.5s.
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## Files touched (and ONLY this file)
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- `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`)
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