Amazon Bedrock Prompt Caching Cuts Input Token Costs by Up to 90%

It is a feature that stores repeated context such as system prompts, tool definitions, or message content so it is not reprocessed on every request, cutting input token costs by up to 90%.

It operates at the prompt and context level within the Converse API, supports mixed TTL, and enables tenant isolation, making it suitable for multi-customer applications.

Yes, especially for organizations using multi-tool agents, static knowledge bases, or long system instructions, where it measurably reduces cost and latency.

Yes, the post documents a LangChain integration among the six scenarios, easing adoption in existing applications.