TokenOps: Optimizing Token Usage in LLM API Applications via Pre- and Post-Processing Layers
Whitepaper by Nitin Lodha Principal Consultant (Business & Technology), Chitrangana.com Published as part of Chitrangana’s Digital Infrastructure Innovation Series Abstract The adoption of Large Language Models (LLMs) such as GPT-4 and Claude 3 has introduced significant operational challenges, primarily associated with escalating costs, latency, and computational load resulting from excessive token usage. Tokens, beyond mere computational units, represent direct economic and environmental costs. This research presents the TokenOps framework, a dual-layer optimization architecture designed to…
