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How to Build a Reliable Node.js Ticket Classifier Using LLM JSON Schema

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A developer guide published on DEV Community outlines a practical approach to automating support ticket triage in Node.js applications using large language model chat completions with strict JSON schema enforcement. The method forces the model to return stable, structured fields such as queue, tags, and urgency rather than free-text responses, preventing unpredictable routing decisions. The author recommends defining closed enumerations for all label values and benchmarking candidate models against real ticket samples, including misspellings and edge cases, before deployment. Cost estimation and token counting are advised upfront so teams can predict per-ticket expenses rather than face surprise bills. The guide also covers resilience practices such as honoring rate-limit retry headers, bounding retry attempts, and using idempotency keys to avoid duplicate database writes during worker restarts.

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How to Build a Reliable Node.js Ticket Classifier Using LLM JSON Schema · ShortSingh