@receptron/laya 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: — pick one option, with a probability per option — an expected level on an ordered rubric, with the distribution — a calibrated P(true) for a yes/no statement This package runs the model with ONNX Runtime; PyTorch and Python are not needed at runtime.
| Stars | 964 |
| Forks | 79 |
| Language | TypeScript |
| Category | LLM 插件 |
| License | MIT |
| Quality Score | 71.5049366600622/100 |
| Open Issues | 5 |
| Last Updated | 2026-10-17 |
| Created | 2026-09-19 |
| Platforms | node |
| Est. Tokens | ~15k |
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laya is Run Laya, the open-source Jev-compatible System-1 decision model, from Node.js / TypeScript via ONNX Runtime. It is categorized as a LLM 插件 with 964 GitHub stars.
laya is primarily written in TypeScript. It covers topics such as classification, decision-model, inference.
You can find installation instructions and usage details in the laya GitHub repository at github.com/receptron/laya. The project has 964 stars and 79 forks, indicating an active community.
laya is released under the MIT license, making it free to use and modify according to the license terms.