Sansa Blog
Insights, updates, and learnings about AI routing, LLM optimization, and cost-effective AI infrastructure.
How to Reduce AI Coding Agent Costs
Prompt caching and model routing are the two largest reductions available on an agentic coding bill, and they multiply when the routing decision holds for a whole trace.
What Makes a Good LLM Router in 2026
Four conditions every LLM router must meet and where static rules, LLM-as-router, and learned classifiers fail, especially for coding agents.
Five Technical Strategies for Managing AI Costs
Practical strategies for controlling generative AI costs at scale, covering model selection, distillation, inference optimization, RAG tuning, PEFT, and ongoing monitoring.
What Is an LLM Router?
How LLM routers cut inference costs by sending each request to the right model, covering routing strategies, published benchmark results, and how routers differ from gateways.
How to Cut Your OpenClaw Token Costs
A practical guide to prompt caching, local models, manual routing, and intelligent routing with Sansa for OpenClaw users watching their API costs climb.
The Sansa Waitlist Is Now Open
Join the waitlist for Sansa, the production stack for governed AI. Built by founders who lived the problem.
