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llm-caching

authentic

Implement multi-layer LLM caching with exact match, semantic similarity, and provider-side prompt caching. Reduce API costs by 30–70%, cut latency, and improve throughput using Redis, GPTCache, and provider caching APIs.

When to use

• The same or similar queries are asked repeatedly (FAQ bots, support tools)
• LLM API costs are growing and you need immediate savings
• Serving high request volumes where repeated queries cause bottlenecks
• Implementing prompt caching for long system prompts (Anthropic/OpenAI)
• Building offline-capable AI features that need response persistence

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