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pewdiepie-archdaemon
63b4ad2e9c
Each recipe catalog entry now carries two variants: variants.pip → uv pip install … variants.docker → docker pull <image> A small 'Install via' pill row in the panel toggles between them (default = Pip/uv per the user's preference). Switching variant or changing the model re-renders the <pre> via _refreshRecipePre(); the display text drops the 'source venv/bin/activate' prefix for Docker since docker pull doesn't need a venv. Run honours the active variant so picking Docker queues 'docker pull …' as the tmux task.
98 lines
4.0 KiB
JavaScript
98 lines
4.0 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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// Recipes carry two variants per entry:
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// variants.pip → install into the configured venv via uv/pip
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// variants.docker → pull the official container image
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//
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// The renderer prepends a `source <venv>/bin/activate` for the pip variant
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// (env_prefix handles activation for Run). The docker variant skips the
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// activate line — `docker pull` doesn't need a venv.
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const _RECIPES = [
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// ── vllm ──────────────────────────────────────────────────────────────
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// MiniMax M2/M2.7 — same as the generic vllm install/image for now;
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// kept as its own entry so future model-specific patches land in one
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// 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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variants: {
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pip: { commands: ['uv pip install -U vllm --torch-backend auto'] },
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docker: { commands: ['docker pull vllm/vllm-openai:latest'] },
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},
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},
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// Generic vllm fallback.
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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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variants: {
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pip: { commands: ['uv pip install -U vllm --torch-backend auto'] },
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docker: { commands: ['docker pull vllm/vllm-openai:latest'] },
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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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variants: {
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pip: { commands: ['uv pip install -U "sglang[all]" --torch-backend auto'] },
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docker: { commands: ['docker pull lmsysorg/sglang:latest'] },
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},
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},
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// ── llama.cpp ─────────────────────────────────────────────────────────
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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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variants: {
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pip: { commands: ['CMAKE_ARGS="-DGGML_CUDA=on" uv pip install -U "llama-cpp-python[server]"'] },
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docker: { commands: ['docker pull ghcr.io/ggerganov/llama.cpp:server-cuda'] },
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},
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},
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];
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export const RECIPE_VARIANTS = ['pip', 'docker'];
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export const RECIPE_DEFAULT_VARIANT = 'pip';
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// Get the commands array for a recipe + variant. Falls back to pip when
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// the requested variant isn't defined for the recipe.
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export function recipeCommands(recipe, variant) {
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if (!recipe) return [];
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const v = (recipe.variants || {})[variant] || (recipe.variants || {}).pip;
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return (v && v.commands) || [];
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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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