Posted inAI
Optimizing LLM Costs: Smart Request Routing with Semantic Router
Semantic Router allows you to classify user intent at the gateway, saving up to 45% in API costs and significantly reducing response latency for AI applications.
Posted inAI
Optimizing LLM API Costs: Prompt Caching, Batching, and Eliminating Unnecessary Tokens
Skyrocketing LLM API bills usually come down to 3 causes: repeated system prompts, piecemeal requests, and wasted tokens in prompts. This article covers 3 practical techniques — prompt caching, batch processing, and prompt compression — to cut costs by 50–80%, with concrete Python code examples.