Agents
A provider feature that caches the processing of static prompt prefixes so repeated requests with the same system prompt or context pay the computation cost only once.
A provider feature that caches the processing of static prompt prefixes so repeated requests with the same system prompt or context pay the computation cost only once. Subsequent requests that share the cached prefix skip re-processing, resulting in lower latency and reduced costs (typically 90% cheaper for cached tokens). Prompt caching is especially valuable for RAG systems, agent loops, and any application that sends the same large context repeatedly.
Example
In practice, developers reach for Prompt Caching when they need the capability described above as part of an AI feature or workflow.
Hands-on guides, comparisons, and tutorials that cover Agents.
FAQ
A provider feature that caches the processing of static prompt prefixes so repeated requests with the same system prompt or context pay the computation cost only once.
Prompt Caching sits in the Agents part of the AI stack. Understanding it helps you make better decisions when building, debugging, and shipping AI features.
Developers Digest publishes tutorials and videos that cover Agents topics including Prompt Caching. Check the blog and YouTube channel for hands-on walkthroughs.
Related
A flow-control mechanism that prevents an agent pipeline from overwhelming downstream systems.
A reliability metric that counts a task as solved only if all k independent attempts succeed, the strict counterpart to pass@k.
A multi-agent mechanism where one agent passes control of the conversation to a more specialized agent, rather than calling it as a subroutine.

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