automaton/tasks/complete/runnable-test-suite/subtasks/vram-detect-cross-platform/SPEC.md

SPEC — vram-detect-cross-platform

Parent: runnable-test-suite (see PARENT_SPEC.md).

Scope

Make scripts/vram_detect.py work on macOS, Windows, and Linux without behavior change on Cachyos/Linux. The existing version was developed on Cachyos and only fully works on Linux. Pure detection logic — no CLI/JSON-shape changes.

Files this sub-task touches (and ONLY this)

• scripts/vram_detect.py — surgical edits to detection functions only.

MUST NOT touch

• tests/test_vram_detect.py (subtask-3 owns all vram_detect tests)
• Any other test file
• Any documentation, prompt, or install script (subtask-1 owns those)
• CLI args, JSON output shape, main() flow — only detection internals

Functions to refactor (by current line in scripts/vram_detect.py)

run_command() (vram_detect.py:54-70)

• On Windows, route PowerShell cmdlets via powershell -NoProfile -NoLogo -Command "..." wrapper.
• Keep shutil.which() gating so missing tools return None on all OSes.
• Do not break Linux path.

detect_gpu_vram() (vram_detect.py:73-108)

Branch on platform.system():

• Linux: keep nvidia-smi → lspci -vnn path exactly as-is. Regression guard.
• Darwin (macOS): add system_profiler SPDisplaysDataType parser. Parse VRAM (Total): line for Intel Macs, and for Apple Silicon unified memory, detect Chipset Model: Apple M* and treat total RAM as shared VRAM (call sysctl -n hw.memsize once and use that number, since Apple Silicon has no dedicated VRAM). Print clearly which kind was detected. Fallback (if system_profiler missing): ioreg -c IOPlatformDevice -r -d 1.
• Windows: add wmic path win32_VideoController get AdapterRAM,Name /format:list (deprecated but ubiquitous; works on Win10/11). Sum AdapterRAM= values across GPUs. PowerShell fallback: powershell -NoProfile -Command "Get-CimInstance Win32_VideoController | Select-Object AdapterRAM"

detect_ram() (vram_detect.py:137-162)

Branch on platform.system():

• Linux: keep /proc/meminfo path. Parse MemTotal + MemAvailable. Regression guard.
• Darwin: keep sysctl -n hw.memsize path (currently the fallback; promote to the macOS branch as primary). Returns (total_kb, total_kb) because macOS doesn't expose "available RAM" via sysctl directly — leave available == total. Print clear "available RAM detection not supported on macOS, reporting total" message once.
• Windows: add wmic ComputerSystem get TotalPhysicalMemory /format:list. Returns bytes — divide by 1024 for KB. PowerShell fallback: powershell -NoProfile -Command "(Get-CimInstance Win32_ComputerSystem).TotalPhysicalMemory"

MODEL_CONTEXT_WINDOWS dict (vram_detect.py:24-47)

Additive only. Add these local-LLM entries with context sizes from public model cards:

• llama-3.1-8b: 128_000
• llama-3.3-70b: 128_000
• qwen2.5-7b: 128_000 (Qwen2.5 supports up to 128k per model card)
• qwen2.5-72b: 128_000
• mistral-7b: 32_000
• mistral-large: 128_000
• deepseek-r1: 64_000 (DeepSeek-R1)
• deepseek-v3: 64_000
• glm-4: 128_000
• glm-4.5: 128_000
• gemma-2: 8_000
• gemma-2-27b: 8_000
• phi-3: 128_000
• phi-4: 16_000

Add a docstring comment above each: # Source: <model card URL or repo> — never fabricate. If a number is uncertain, use the smaller conservative value and leave a comment noting the uncertainty.

detect_model_context() (vram_detect.py:175-228)

Add an ollama list probe when no config file names a model AND the system has ollama on PATH. Steps:

1. ollama list → parse first non-header row's NAME column (strip :latest tag).
2. Look up the cleaned name in MODEL_CONTEXT_WINDOWS via existing _lookup_model_context.
3. If matched, return that context. If not matched, fall through to fail-open 0.

Do NOT modify any other code path in detect_model_context.

MUST NOT regress

• The existing Linux output of python3 vram_detect.py must produce byte-identical stdout (after the equivalent hardware probe) on the original Cachyos box. Subtask-3 will write a Linux-fixture test to lock this in.
• Do not remove or alter any existing OpenAI/Anthropic entry in MODEL_CONTEXT_WINDOWS.

Acceptance criteria

1. python3 scripts/vram_detect.py on Darwin prints gpu_vram_gb > 0 (currently prints 0).
2. python3 scripts/vram_detect.py JSON contains the same keys, same order, same types.
3. python3 -m py_compile scripts/vram_detect.py exits 0.
4. On a Linux fixture (simulated by subtask-3 tests with patched platform.system), stdout matches the pre-refactor output line-by-line for GPU/RAM sections.
5. python3 scripts/vram_detect.py does not crash on Windows stub (subtask-3 sets monkeypatch.setattr(platform, "system", lambda: "Windows") and mocks subprocess).
6. No new third-party imports.

Anti-spin rails

• Unknown model name → fail open with 0. NEVER guess a context window.
• If platform.system() returns an unexpected string (e.g. "AIX"), fall through to Linux path or print "Unsupported OS: X" and return 0s. Do not crash.
• If system_profiler output format on the local M-series Mac is different from what you parsed, STOP and report. Don't patch a half-working parser.

Hardware context (this box)

• Darwin arm64, Python 3.9.6 (stock CommandLineTools).
• system_profiler SPDisplaysDataType is the canonical probe.
• You can iterate locally by running python3 scripts/vram_detect.py after each edit.

Recommended approach

1. Add the local-LLM entries to MODEL_CONTEXT_WINDOWS first (mechanical).
2. Refactor detect_ram() with a platform.system() dispatch — easiest, lowest risk.
3. Refactor detect_gpu_vram() — hardest, leave for after RAM is green.
4. Add the ollama list probe.
5. Wrapping run_command() for Windows PowerShell — defer until last.
6. After each function, run python3 scripts/vram_detect.py and confirm no crash + correct output.
7. Do NOT touch tests/test_vram_detect.py. Subtask-3 will write tests against your function signatures.