Spring AI Prompt Caching: Stop Wasting Money on Repeated Tokens
Tired of watching your AI API costs skyrocket? Prompt caching can save you up to 90% on your Claude bill by caching repeated content like system prompts and tool definitions. Let me show you exactly how to implement it in Spring AI.
In this tutorial, we'll explore what prompt caching is and why it matters for your AI applications. You'll learn how the context window works, what can be cached (system messages, tools), and build a complete Spring AI application that leverages Anthropic's prompt caching feature. By the end, you'll have a working implementation that dramatically reduces your API …
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Chapters (12)
Intro - Why Prompt Caching Matters
0:30
Understanding the Context Window
1:45
What Can Be Cached
2:30
API Pricing and Savings
3:15
Spring AI Blog Post Overview
4:00
Creating the Spring AI Project
4:45
Setting Up the System Prompt
6:00
Building the Chat Controller
7:30
Configuring Anthropic Cache Options
9:00
Creating the User Prompt
10:30
Testing and Verifying Cache Hits
12:00
Wrap Up and Key Takeaways
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