open-standards/aac/aac-rs/third_party/litert-lm/NOTICE.txt
Transaction Science 3e88f9fbc9 feat(aac sentence helper): whole sentences and replies, suggested on the device
The sentence helper is an optional download (Settings → Sentence helper):
Gemma 4 E2B in Google's web build, run by Google's LiteRT-LM web runtime on
the graphics chip, in a worker. ✨ beside the message turns the words chosen
into three sentences, fitting what the partner said if it was typed in, or
suggests four replies when no words are chosen yet. The suggestions take the
word predictions' place, at their height, so no cell moves (SPEC §3); the
person chooses one and speaks it. Nothing is spoken by itself, and nothing
typed leaves the device.

- ai_helper.rs: the catalogue (aac-ai-index/1), prompts, whether a device can
  run it (a WebGPU hardware adapter, never the processor), download, continue,
  remove and re-check, and suggestions that a later request supersedes. The
  model's parts (64 MiB, SHA-256 checked) and the one runtime build this
  browser runs live in the model store; the worker streams the parts from
  there into GPU memory.
- third_party/litert-lm: @litert-lm/core 0.17.1 vendored and pinned (npm
  integrity, each file's size and SHA-256), with our worker bundled by esbuild
  0.28.2; the runtime's CDN default is emptied.
- tools/ai: build_ai.py (the pinned model → parts and catalogue),
  check_packs.py, languages.json (English, Spanish, German and Hindi ready;
  Swahili not yet), and eval/: the 20 exchanges, a harness that runs the
  app's own prompts (a test keeps them word for word), and the judged answers.
- Measured: Chrome on an M5 Max, 0.4-0.7 s an answer. A real iPad Air (M3) in
  Safari 27: 101 s to download and check 2 GB, about 80 s for the first start,
  5.9 s for later starts, 0.8-1.4 s an answer.

Co-Authored-By: Claude Opus 5.5 <[email protected]>
2026-10-01 06:52:48 -04:00

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The sentence helper in the AAC reference app runs an on-device language model
on Google's LiteRT-LM web runtime. The app serves the runtime from its own
site, under vendor/litert-lm-<version>-<revision>/, put there by
third_party/litert-lm/vendor.sh. When someone downloads the sentence helper,
the app copies the runtime files their browser needs into their model store
and runs them from there, in a worker on their device. Nothing they type is
sent anywhere.
LiteRT-LM (@litert-lm/core, the version in the directory name), by Google LLC
(The ODML Authors).
litertlm_wasm_internal.js and .wasm, litertlm_wasm_asyncify_internal.js and
.wasm, litertlm_wasm_compat_internal.js and .wasm, and
litertlm_wasm_compat_asyncify_internal.js and .wasm: unchanged from the npm
package. They are Google's prebuilt WebAssembly builds of LiteRT-LM, one
for each combination of WebAssembly features (relaxed SIMD, JavaScript
Promise Integration). A browser downloads only the one it runs.
ai-worker.js: the app's own worker (worker.js beside vendor.sh), bundled by
esbuild with the JavaScript of @litert-lm/core and @litertjs/wasm-utils,
unchanged except one line: the runtime's default WebAssembly location (a
public CDN) is emptied, so the runtime can never load anything from another
site. The app always hands it the WebAssembly itself.
Licensed under the Apache License, Version 2.0: LICENSE.txt beside this
file (LiteRT-LM's LICENSE, verbatim).
Source: https://www.npmjs.com/package/@litert-lm/core
https://www.npmjs.com/package/@litertjs/wasm-utils
(package.json "license": "Apache-2.0" in both),
https://github.com/google-ai-edge/LiteRT-LM (LICENSE read
2026-10-01 at tag v0.17.1, commit
5e58e9a0aef7abf7091207a8b1d1063a1c800f08)
The language model the runtime runs is not part of this directory and is not
covered by LICENSE.txt. The app publishes it separately, with its own
licence and attribution, in the sentence helper's catalogue (Settings >
Sentence helper).