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)