Generate macOS/Metal serve commands and surface the Metal GPU

cookbook_routes.py adds a macOS serve path (Ollama, Metal-aware
llama.cpp build using `sysctl hw.ncpu` instead of `nproc`, and a clear
error if vLLM is attempted). The frontend defaults Metal serving to
llama.cpp and offers llama.cpp/Ollama instead of vLLM/SGLang. The
odysseus-cookbook CLI's `gpus` command reports the Metal GPU via
sysctl/vm_stat.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
yunggilja
2026-05-31 20:24:38 -05:00
parent 32ac81dbc6
commit 4ba01ce25d
4 changed files with 122 additions and 7 deletions
+15
View File
@@ -171,6 +171,13 @@ export function _isWindows(hostOrTask) {
return _getPlatform(hostOrTask) === 'windows';
}
/** Check if the detected (local) hardware is Apple Silicon / Metal. Keys off the
* hardware probe's backend rather than a platform string, since a local Mac
* reports no platform but does report backend: "metal". */
export function _isMetal() {
return ['metal', 'mps', 'apple'].includes(String(_hwfitCache?.system?.backend || '').toLowerCase());
}
/** Detect model-specific vLLM optimizations */
function _detectModelOptimizations(modelName) {
const n = (modelName || '').toLowerCase();
@@ -252,6 +259,13 @@ export function _detectBackend(model) {
return { backend: 'llamacpp', label: 'llama.cpp' };
}
// Apple Silicon (Metal) → llama.cpp (GGUF). vLLM/SGLang are CUDA/ROCm-only and
// don't run on macOS; AWQ/GPTQ/FP8 (vLLM-only) models are already filtered out
// of metal Cookbook results, so llama.cpp is always the right engine here.
if (['metal', 'mps', 'apple'].includes(sysBackend)) {
return { backend: 'llamacpp', label: 'llama.cpp' };
}
// AWQ / GPTQ / FP8 → vLLM
if (/^AWQ|^GPTQ/.test(q) || q === 'FP8') {
return { backend: 'vllm', label: 'vLLM' };
@@ -1761,6 +1775,7 @@ const shared = {
_sshPrefix,
_getPlatform,
_isWindows,
_isMetal,
_buildEnvPrefix,
_buildServeCmd,
_shellQuote,
+4
View File
@@ -16,6 +16,7 @@ let _getPort;
let _sshPrefix;
let _getPlatform;
let _isWindows;
let _isMetal;
let _buildEnvPrefix;
let _buildServeCmd;
let _shellQuote;
@@ -382,6 +383,8 @@ function _rerenderCachedModels() {
panelHtml += `<div class="hwfit-serve-row">`;
const _backendChoices = _isWindows()
? [['llamacpp','llama.cpp']]
: _isMetal()
? [['llamacpp','llama.cpp'],['ollama','Ollama'],['diffusers','Diffusers']]
: [['vllm','vLLM'],['sglang','SGLang'],['llamacpp','llama.cpp'],['diffusers','Diffusers']];
const backendOpts = _backendChoices.map(([v,l]) => `<option value="${v}"${defaultBackend===v?' selected':''}>${l}</option>`).join('');
panelHtml += `<label>${_l('Backend','Inference engine: vLLM, SGLang, llama.cpp, or Diffusers')}<select class="hwfit-sf" data-field="backend">${backendOpts}</select></label>`;
@@ -1592,6 +1595,7 @@ export function initServe(shared) {
_sshPrefix = shared._sshPrefix;
_getPlatform = shared._getPlatform;
_isWindows = shared._isWindows;
_isMetal = shared._isMetal;
_buildEnvPrefix = shared._buildEnvPrefix;
_buildServeCmd = shared._buildServeCmd;
_shellQuote = shared._shellQuote;