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  5. Prompt Caching
Prompting & Interaction

Prompt Caching

Prompt caching reuses computation or billing state for an unchanged prefix shared across model requests.

Ask Melo about this← all terms

The serving system identifies eligible repeated tokens and avoids recomputing some of their intermediate state. Cache rules, lifetime, and exact-prefix requirements vary, so applications should treat caching as an optimization rather than correctness logic.

Related terms

Negative PromptPrompt OptimizationConversation HistoryInstruction HierarchySamplingTemperature

Where Prompt Caching comes up

  • Prompt Caching: Decision Framework for LLM Cost, Latency, and Security (2026)
  • Reducing Claude API Cost: Caching, Prompt Audits, and Effort Tuning
  • Ploy’s GPT-5.6 Migration — Fix the Harness Before You Trust the Score
  • Token budget planning and execution: how to manage context costs in production AI systems in 2026