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Node.js LLM System Manages Media Tickets with Per-Tenant Scheduling and JSON Schema

This article details a system for handling media support tickets using LLMs, emphasizing per-tenant scheduling and strict JSON schema validation for classification tags. It proposes a Node.js-based intake handler that normalizes tickets with tenant IDs and version information before enqueuing them. The scheduling policy can be global FIFO, round-robin, or weighted, depending on tenant isolation needs and capacity commitments. The LLM's output must adhere to a defined JSON schema for routing, with unknown categories rejected to ensure accurate classification. AI

IMPACT Provides a framework for integrating LLMs into customer support workflows with improved efficiency and tenant-specific resource management.

RANK_REASON Article describes a technical implementation for using LLMs in a specific application (media ticket classification), rather than a new model release or core research.

Read on dev.to — LLM tag →

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Node.js LLM System Manages Media Tickets with Per-Tenant Scheduling and JSON Schema

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  1. dev.to — LLM tag TIER_1 English(EN) · RhettFletcher9678 ·

    Per-Tenant Media Scheduling Explained: Node.js LLM JSON Schema for Ticket Tags

    <p>Per-tenant cost visibility changes the unit of work. A media support ticket cannot be just prompt text in a global queue; it needs a tenant, stable ticket identity, taxonomy version, and prompt version before any worker is allowed to classify it.</p> <p>Short answer: enqueue n…