- **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).
124 lines
5.9 KiB
Markdown
124 lines
5.9 KiB
Markdown
# SPEC — vram-detect-cross-platform
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Parent: `runnable-test-suite` (see PARENT_SPEC.md).
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## Scope
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Make `scripts/vram_detect.py` work on macOS, Windows, and Linux without behavior
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change on Cachyos/Linux. The existing version was developed on Cachyos and only
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fully works on Linux. Pure detection logic — no CLI/JSON-shape changes.
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## Files this sub-task touches (and ONLY this)
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- `scripts/vram_detect.py` — surgical edits to detection functions only.
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## MUST NOT touch
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- `tests/test_vram_detect.py` (subtask-3 owns all vram_detect tests)
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- Any other test file
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- Any documentation, prompt, or install script (subtask-1 owns those)
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- CLI args, JSON output shape, main() flow — only detection internals
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## Functions to refactor (by current line in `scripts/vram_detect.py`)
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### `run_command()` (vram_detect.py:54-70)
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- On Windows, route PowerShell cmdlets via `powershell -NoProfile -NoLogo -Command "..."` wrapper.
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- Keep `shutil.which()` gating so missing tools return None on all OSes.
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- Do not break Linux path.
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### `detect_gpu_vram()` (vram_detect.py:73-108)
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Branch on `platform.system()`:
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- **Linux**: keep `nvidia-smi` → `lspci -vnn` path exactly as-is. Regression guard.
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- **Darwin** (macOS): add `system_profiler SPDisplaysDataType` parser.
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Parse `VRAM (Total):` line for Intel Macs, and for Apple Silicon unified memory,
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detect `Chipset Model: Apple M*` and treat total RAM as shared VRAM (call
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`sysctl -n hw.memsize` once and use that number, since Apple Silicon has no
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dedicated VRAM). Print clearly which kind was detected.
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Fallback (if `system_profiler` missing): `ioreg -c IOPlatformDevice -r -d 1`.
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- **Windows**: add `wmic path win32_VideoController get AdapterRAM,Name /format:list`
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(deprecated but ubiquitous; works on Win10/11). Sum `AdapterRAM=` values across
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GPUs. PowerShell fallback:
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`powershell -NoProfile -Command "Get-CimInstance Win32_VideoController | Select-Object AdapterRAM"`
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### `detect_ram()` (vram_detect.py:137-162)
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Branch on `platform.system()`:
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- **Linux**: keep `/proc/meminfo` path. Parse `MemTotal` + `MemAvailable`. Regression guard.
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- **Darwin**: keep `sysctl -n hw.memsize` path (currently the fallback; promote to
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the macOS branch as primary). Returns (total_kb, total_kb) because macOS doesn't
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expose "available RAM" via sysctl directly — leave available == total. Print clear
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"available RAM detection not supported on macOS, reporting total" message once.
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- **Windows**: add `wmic ComputerSystem get TotalPhysicalMemory /format:list`.
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Returns bytes — divide by 1024 for KB. PowerShell fallback:
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`powershell -NoProfile -Command "(Get-CimInstance Win32_ComputerSystem).TotalPhysicalMemory"`
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### `MODEL_CONTEXT_WINDOWS` dict (vram_detect.py:24-47)
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Additive only. Add these local-LLM entries with context sizes from public model cards:
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- `llama-3.1-8b`: 128_000
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- `llama-3.3-70b`: 128_000
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- `qwen2.5-7b`: 128_000 (Qwen2.5 supports up to 128k per model card)
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- `qwen2.5-72b`: 128_000
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- `mistral-7b`: 32_000
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- `mistral-large`: 128_000
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- `deepseek-r1`: 64_000 (DeepSeek-R1)
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- `deepseek-v3`: 64_000
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- `glm-4`: 128_000
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- `glm-4.5`: 128_000
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- `gemma-2`: 8_000
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- `gemma-2-27b`: 8_000
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- `phi-3`: 128_000
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- `phi-4`: 16_000
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Add a docstring comment above each: `# Source: <model card URL or repo>` — never
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fabricate. If a number is uncertain, use the smaller conservative value and
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leave a comment noting the uncertainty.
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### `detect_model_context()` (vram_detect.py:175-228)
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Add an `ollama list` probe when no config file names a model AND the system has
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`ollama` on PATH. Steps:
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1. `ollama list` → parse first non-header row's NAME column (strip `:latest` tag).
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2. Look up the cleaned name in `MODEL_CONTEXT_WINDOWS` via existing `_lookup_model_context`.
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3. If matched, return that context. If not matched, fall through to fail-open `0`.
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Do NOT modify any other code path in `detect_model_context`.
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## MUST NOT regress
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- The existing Linux output of `python3 vram_detect.py` must produce byte-identical
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stdout (after the equivalent hardware probe) on the original Cachyos box. Subtask-3
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will write a Linux-fixture test to lock this in.
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- Do not remove or alter any existing OpenAI/Anthropic entry in `MODEL_CONTEXT_WINDOWS`.
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## Acceptance criteria
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1. `python3 scripts/vram_detect.py` on Darwin prints `gpu_vram_gb > 0` (currently prints 0).
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2. `python3 scripts/vram_detect.py` JSON contains the same keys, same order, same types.
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3. `python3 -m py_compile scripts/vram_detect.py` exits 0.
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4. On a Linux fixture (simulated by subtask-3 tests with patched `platform.system`),
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stdout matches the pre-refactor output line-by-line for GPU/RAM sections.
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5. `python3 scripts/vram_detect.py` does not crash on Windows stub (subtask-3 sets
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`monkeypatch.setattr(platform, "system", lambda: "Windows")` and mocks subprocess).
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6. No new third-party imports.
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## Anti-spin rails
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- Unknown model name → fail open with `0`. NEVER guess a context window.
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- If `platform.system()` returns an unexpected string (e.g. "AIX"), fall through to
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Linux path or print "Unsupported OS: X" and return 0s. Do not crash.
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- If `system_profiler` output format on the local M-series Mac is different from what
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you parsed, STOP and report. Don't patch a half-working parser.
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## Hardware context (this box)
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- Darwin arm64, Python 3.9.6 (stock CommandLineTools).
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- `system_profiler SPDisplaysDataType` is the canonical probe.
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- You can iterate locally by running `python3 scripts/vram_detect.py` after each edit.
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## Recommended approach
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1. Add the local-LLM entries to `MODEL_CONTEXT_WINDOWS` first (mechanical).
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2. Refactor `detect_ram()` with a `platform.system()` dispatch — easiest, lowest risk.
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3. Refactor `detect_gpu_vram()` — hardest, leave for after RAM is green.
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4. Add the `ollama list` probe.
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5. Wrapping `run_command()` for Windows PowerShell — defer until last.
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6. After each function, run `python3 scripts/vram_detect.py` and confirm no crash + correct output.
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7. Do NOT touch `tests/test_vram_detect.py`. Subtask-3 will write tests against your function signatures. |