Arvind Kumar·2d agoWhere Your Token Spend Actually Goes (And How It Creeps Up Without You Noticing)Token economics in plain terms — why a long session gets expensive, matching the model to the task, and how caching rewards a stable…
Shivesh Navin·5d agoCut Your Agentic Harness Costs with Persistent MySQL Caching in LangChainIn this guide, I’ll show you how to set up a persistent, offline-capable LLM cache using MySQL and LangChain. At the end, I’ve also thrown…
Mir Arshad Ali·Oct 28How to Use ZizkaDB Suggestions to Cut Costs and Fix Agent Performance, With You in ControlMost monitoring tools show you what happened and leave the next step to you. Some newer tools go the other way and change your system…
Sali·Oct 23The Real Benefits of AI Caching: Cost, Speed, Limits, and ReliabilityIn Part 1 we described the four layers of AI caching: exact response caching, semantic caching, provider prompt caching, and embedding…
Saurabh Gupta (SG)·Oct 3Why Your RAG System’s Token Costs Keep Climbing (And How to Fix It)It said “1 user request.” The pipeline behind it had quietly grown from a single LLM call into eight separate hops, embedding, retrieval…
