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pewdiepie-archdaemon
600fa6be8a
Each row for vllm, sglang, llama_cpp now carries an expand caret that
opens an inline recipe panel below the row. The panel has:
- 'Serving which model?' select populated from a new tiny catalog
- <pre> code block showing the exact shell sequence for that pair
- Copy: clipboard the commands
- Run: launch the joined 'cmd1 && cmd2 && …' as a tmux task on the
currently-selected deps server (same plumbing as Install)
New file: src/static/js/cookbook-deps-recipes.js — single source of
truth for the recipes. Seeded with MiniMax M2/M2.7 + a generic fallback
for each backend (all three use 'uv venv → source .venv/bin/activate
→ uv pip install ... --torch-backend auto', the recipe the user
pasted). Adding model-specific recipes is now a one-entry edit.
Next commit: Launch-tab pre-flight that intercepts the serve click
when the backend isn't installed and deep-links into this panel.
86 lines
3.3 KiB
JavaScript
86 lines
3.3 KiB
JavaScript
// Per-backend × per-model install recipes for the Dependencies tab.
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//
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// Each entry says: when you're about to serve `model` on `backend`, here's
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// the exact shell sequence to make the venv + install the right packages.
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// Entries are matched first-hit; put the more specific patterns ABOVE the
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// generic fallback for that backend.
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const _RECIPES = [
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// ── vllm ──────────────────────────────────────────────────────────────
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// MiniMax M2/M2.7 — same generic vllm install for now; kept as its own
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// entry so future model-specific patches (FP8 quants, custom kernels)
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// land in one obvious place without touching the catch-all.
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{
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backend: 'vllm',
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label: 'MiniMax M2 / M2.7',
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match: (m) => /minimax[-_]?m\s?2(\.7)?/i.test(m || ''),
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commands: [
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'uv venv',
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'source .venv/bin/activate',
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'uv pip install -U vllm --torch-backend auto',
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],
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},
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// Generic vllm fallback — auto-resolves the right torch backend (CUDA
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// 12.x / 12.4 / ROCm) at install time so users don't have to know.
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{
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backend: 'vllm',
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label: 'Any vLLM model',
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match: () => true,
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commands: [
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'uv venv',
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'source .venv/bin/activate',
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'uv pip install -U vllm --torch-backend auto',
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],
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},
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// ── sglang ────────────────────────────────────────────────────────────
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{
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backend: 'sglang',
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label: 'Any SGLang model',
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match: () => true,
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commands: [
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'uv venv',
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'source .venv/bin/activate',
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'uv pip install -U "sglang[all]" --torch-backend auto',
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],
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},
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// ── llama.cpp ─────────────────────────────────────────────────────────
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// The cookbook-side rebuild path covers this for users who already have
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// the engine compiled — but for a fresh box, surface a sane install.
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{
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backend: 'llama_cpp',
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label: 'Any GGUF model',
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match: () => true,
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commands: [
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'uv venv',
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'source .venv/bin/activate',
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'CMAKE_ARGS="-DGGML_CUDA=on" uv pip install -U "llama-cpp-python[server]"',
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],
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},
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];
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// Backends we surface a recipe panel for. Other rows in the Dependencies
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// list keep the existing flat Install/Reinstall button without an expand
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// affordance.
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export const RECIPE_BACKENDS = new Set(['vllm', 'sglang', 'llama_cpp']);
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// All recipe entries for a given backend, in catalog order. The first one
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// is the model-specific match (when present); the last is always the
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// generic fallback.
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export function recipesForBackend(backend) {
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return _RECIPES.filter((r) => r.backend === backend);
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}
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// Pick the best recipe for a backend + model id. Returns the catalog
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// fallback when nothing more specific matches, or null if the backend
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// isn't in the catalog at all.
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export function pickRecipe(backend, modelId) {
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const candidates = recipesForBackend(backend);
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if (!candidates.length) return null;
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for (const r of candidates) {
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try { if (r.match(modelId)) return r; } catch (_) {}
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}
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return candidates[candidates.length - 1] || null;
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}
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