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Learn how to implement prompt caching in Spring AI to reduce Anthropic Claude API costs by up to 90% through this comprehensive 18-minute tutorial. Discover the fundamentals of prompt caching, including how the context window operates and which content types can be cached such as system messages and tool definitions. Explore which Anthropic Claude models support prompt caching and understand the significant cost savings potential for AI applications. Follow along as you build a complete Spring AI application from scratch, starting with project setup and progressing through system prompt configuration, chat controller implementation, and Anthropic cache options setup. Master the SYSTEM_ONLY caching strategy for system prompts and learn to monitor cache creation and cache read tokens to verify proper caching functionality. Gain practical experience testing the implementation and verifying cache hits to ensure optimal performance and cost reduction in your AI applications.
