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@sipphq/sipp

v0.1.1

Published

Run powerful AI models locally with high-performance text and vision inference directly in the browser

Readme

Sipp Browser Package

lib/web is the browser package source for the public @sipphq/sipp package. It supports browser-local GGUF inference, gateway calls, streaming text, OPFS model caching, and browser runtime lifecycle management through SippClient.

Source builds use the workspace manifest in this directory. Public docs use the @sipphq/sipp package target.

Source Checkout

From the repository root, after source ./setup.sh:

sipp build wasm && sipp run examples serve browser

sipp forwards to cargo xtask; use cargo xtask ... with the same arguments if the launcher is not active.

Local GGUF Query

import { SippClient } from '@sipphq/sipp';

const client = new SippClient();
await client.add('default', {
  kind: 'local',
  source: '/models/model.gguf',
  options: {
    runtime: {
      context: { n_ctx: 2048 },
      scheduler: { continuous_batching: true, prefill_chunk_size: 0 },
      cache: { mode: 'live_slot_prefix' },
      observability: { runtime_metrics: true },
    },
  },
});

const run = client.query('Explain Sipp in one sentence.', {
  emitTokens: true,
  maxTokens: 64,
  contextKey: 'web-local',
});

let streamed = '';
for await (const batch of run.tokens) {
  streamed += batch.text;
}
const response = await run.response;
console.log(streamed || response.text);
await client.close();

WebGPU Engine

The browser runtime links the Rust WASM ABI with llama.cpp and ggml through Emscripten. It runs GGUF text and vision models with WebGPU on compatible browsers, falls back to CPU execution for compatible local workflows, and uses OPFS-backed caching for repeated model loads.

Gateway clients use the same endpoint API. Browser applications provide short-lived gateway tokens at runtime.

Learn More