Objective

OpenClaw Token Caching is a prompt caching implementation built into the OpenClaw platform that reduces AI agent operating costs by up to 90%. By storing and reusing frequently accessed prompt content such as system instructions, file loads, and tool definitions, the feature eliminates redundant input token charges on each Application Programming Interface (API) request. Cached content is billed at 10% of the standard input token rate. In practice, this reduces typical agent workloads from roughly $102 per month to $32 per month for equivalent prompt volumes. Operators can monitor caching effectiveness in real time to verify cost savings.

Contexts

• #openclaw (See: OpenClaw)