Key Takeaway
Documenting the caching approach in an ADR ensures the team has shared understanding of cache invalidation rules and quality trade-offs accepted for cost savings.
When to Use This Template
Use this ADR when designing a caching layer for LLM inference, optimizing an existing caching strategy, or evaluating whether caching is appropriate for your AI workload. Caching can reduce inference costs significantly, but it introduces trade-offs around response freshness, personalization, and quality. This template helps the team make those trade-offs explicit and documented.
ADR Template
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