This article discusses the practical considerations for integrating Large Language Models (LLMs) into customer support ticket triage systems, emphasizing cost attribution and vendor management over raw model performance. The author proposes using an OpenAI-compatible LLM API gateway, such as OpenRouter or Infrai, to manage costs and simplify vendor switching. Key requirements include associating each LLM call with a tenant ID and ticket ID, ensuring idempotency to prevent duplicate charges, and maintaining immutable cost and vendor data for monthly reconciliation. The system should also handle failures gracefully, routing tickets to human agents if the LLM response is too slow or invalid, while still recording the cost of the attempt. AI
IMPACT Provides a framework for managing LLM costs and vendor relationships in enterprise applications, prioritizing attribution and flexibility.
RANK_REASON Article discusses practical implementation details and cost management strategies for using LLMs in a business context, rather than announcing a new model or research.
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