Design an optimal prompt caching strategy for our LLM application. ## Request Patterns {{request_patterns}} ## Prompt Structure {{prompt_structure}} ## Cost Breakdown {{cost_breakdown}} Analyze caching opportunities: **Prefix Caching** - Identify cacheable prefixes - Calculate potential savings - Implementation requirements **Response Caching** - Exact match opportunities - Semantic similarity thresholds - Invalidation strategy **KV Cache Reuse** - Multi-turn optimization - Session management - Memory trade-offs **Provider-Specific Options** - Anthropic prompt caching - OpenAI cached endpoints - Custom infrastructure Provide: - Caching architecture - Expected savings calculation - Implementation priority
Prompt Caching Strategy Designer
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Design comprehensive prompt caching strategies analyzing prefix, response, and KV cache opportunities with provider-specific optimizations.
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Category
AnalysisUse Cases
Cache strategyCost reductionLatency optimization
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claude-sonnet-4-20250514gpt-4o
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