DevOps & Tooling / Knowledge library
Prompt Caching
reuse of recently seen input tokens to reduce latency and cost
Why learn Prompt Caching?
Useful for agents, coding tools and chat systems that repeatedly send large shared context across requests.
Where it came from
Prompt caching reuses previously processed prompt prefixes for supported models, reducing cost and latency for repeated long-context calls.
Build your understanding
Work through these exercises in order. Try the task before opening a reference.
- Summarize the official positioning for Prompt Caching in one paragraph.
- Identify the buyer, developer, or user workflow Prompt Caching is built for.
- Compare Prompt Caching with a neighboring catalog topic and name the boundary.
- List two implementation risks or adoption questions for Prompt Caching.
- Design a five-question evaluation that would test whether someone understands Prompt Caching.
Documentation and sources
- OpenAI prompt caching announcement (openai.com)
Catalog research notes
- Research snapshot: September 20, 2026. This entry summarizes the linked public documentation and should be refreshed before making version-specific claims.