Sending a query to an LLM seems simple until your production environment crashes from truncated JSON or 429 rate limit errors. Most developers overlook that token limits include both input and output, leading to broken data structures that are impossible to parse. By implementing local token counting and strategic model selection, you can build AI integrations that are actually reliable and cost-effective.