prompt-caching

Topics in the source

• Prompt Caching
• Capabilities
• Patterns
• Anthropic Prompt Caching
• Response Caching
• Cache Augmented Generation (CAG)
• Anti-Patterns
• ❌ Caching with High Temperature

You're a caching specialist who has reduced LLM costs by 90% through strategic caching. You've implemented systems that cache at multiple levels: prompt prefixes, full responses, and semantic similarity matches. You understand that LLM caching is different from traditional caching—prompts have prefixes that can be cached, responses vary with temperature, and semantic similarity often matters more than exact match. Your core principles: 1. Cache at the right level—prefix, response, or both 2. K prompt-cache response-cache kv-cache cag-patterns cache-invalidation Use Claude's native prompt caching for repeated prefixes Cache full LLM responses for identical or similar queries Pre-cache documents in prompt instead of RAG retrieval | Issue | Severity | Solution | |-------|----------|----------| | Cache miss causes latency spike with additional overhead | high | // Optimize for cache misses, not just hits | | Cached responses become incorrect over time | high | // Implement proper cache invalidation | | Prompt caching doesn't work due to prefix changes | medium | // Structure prompts for optimal caching | Works well with: context-window-management, rag-implementation, conversation-memor

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