receptron/laya
Run Laya, the open-source Jev-compatible System-1 decision model, from Node.js / TypeScript via ONNX Runtime
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
Run Laya — the open-source, Jev-compatible System 1 decision model by Convai Innovations — from Node.js / TypeScript. Laya does not generate text. You hand it a state (a ticket, an email, a JSON object) and typed questions, and it returns every answer with calibrated probabilities in one forward pass: This package runs the model with ONNX Runtime; PyTorch and Python are not needed at runtime. The request/response shape is the same as the Python reference implementation (RLAgent.systemone) and as TypeSafe Jev's systemone API, and the output matches the Python implementation to four decimal places. Node.js 20 or newer. The ONNX weights (about 1.7 GB, fp32) are downloaded from Hugging Face on first use and cached under /.cache/receptron-laya (override with LAYACACHE). Budget roughly 2 GB of RAM for the loaded model plus a few hundred MB per batch of questions. The answer types follow the question types, so result.answers.department is…
Read the full README ↗ · Preview checked 2026-09-22T12:48:17.949Z
Inside the original README — Document outline
Headings are captured from the source. Links open the publisher’s document, not a locally hosted copy.
Documentation belongs to its respective authors. Reported project/model license: MIT. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
What this repository does
Run Laya, the open-source Jev-compatible System-1 decision model, from Node.js / TypeScript via ONNX Runtime
Repository facts
- Owner
- receptron
- Primary language
- TypeScript
- Stars
- 240
- Forks
- 18
- Open issues + pull requests
- 0
- License
- MIT
- Archived
- No
- Default branch
- main
- Created
- 2026-09-19T15:30:52.000Z
- Last push
- 2026-09-21T13:16:59.000Z
Topics and intended use
No topics were included in the latest source metadata.
Review the README for scope, installation, examples and limitations. We do not run repository code or certify it.
Evaluate before installing
Review licensing and dependencies, inspect recent commits and unresolved issues, and test in an isolated environment before production use. Stars and forks alone cannot answer these questions.
Source and freshness
Source: GitHub. Metadata observed 2026-09-22T12:02:26.135Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.