Built-in presets

Supplies ready-made schemas for triage, email, guardrails, moderation, and model routing.

Parent repository GitHub

Type: module
Repository: NandhaKishorM/laya
Readiness: Usable for evaluation and carefully validated deployments, but shipped calibration, multilingual task quality, option-order sensitivity, and workload-specific accuracy require local testing before automated actions.
Keywords: 6

Location

Repository path

README.md

Invocation

laya.triage_questions(); email_questions(); guard_questions(); moderation_questions(); router_questions()

Setup

Installation / activation

Function call or CLI --preset

Keywords

presetstriageemailguardrailsmoderationrouting

Repository context

NandhaKishorM/laya

Apache-2.0 multilingual decision-model toolkit that provides Python and TypeScript SDKs, local CLI and HTTP serving, ONNX runtimes, framework integrations, evaluation harnesses, and an optional MCP server for fast typed choice, ordinal-score, and yes/no decisions; no native Claude Code plugin, hook, skill, or Claude-specific installation path is evidenced.

machine learningnatural language processingclassificationdecision routingmultilingual inferenceguardrailscontent moderationsupport automationmodel routingevaluation

Open full repository research