LangChain and LangGraph integration

Provides router, guardrail, and structured-decision runnables with shared synchronous and asynchronous batching.

Parent repository GitHub

Type: integration 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

docs/langchain.md

Invocation

from laya.integrations.langchain import LayaRouter, LayaGuardrail, LayaDecision

Setup

Installation / activation

LCEL or LangGraph invocation

Keywords

LangChainLangGraphLayaRouterLayaGuardrailLayaDecisionbatch

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

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