A Multi-Layer Query Guardrail Framework for Stateless LLM Deployments

This paper proposes a three-layer query control pipeline for stateless LLM deployments. The system combines a word-level filter, semantic intent classifier using fastText and GloVe, and an LLM guardrail prompt to enforce domain constraints. The approach reduces API cost, prevents domain drift, and improves system reliability in production environments.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-14
DOI
https://doi.org/10.5281/zenodo.19571805
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
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article

A Multi-Layer Query Guardrail Framework for Stateless LLM Deployments

Meghana Joseph Basani, SRINADH CHINTAKINDI
Zenodo (CERN European Organization for Nuclear Research)
Semantic Web and Ontologies
article

A Multi-Layer Query Guardrail Framework for Stateless LLM Deployments

Meghana Joseph Basani, SRINADH CHINTAKINDI
article en

Abstract

This paper proposes a three-layer query control pipeline for stateless LLM deployments. The system combines a word-level filter, semantic intent classifier using fastText and GloVe, and an LLM guardrail prompt to enforce domain constraints. The approach reduces API cost, prevents domain drift, and improves system reliability in production environments.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 13%
Semantic Web and Ontologies
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A Multi-Layer Query Guardrail Framework for Stateless LLM Deployments — Meghana Joseph Basani, SRINADH CHINTAKINDI · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS