This technical guide explains how to troubleshoot prompt caching issues when using OpenAI and Anthropic models with the Vercel AI SDK in a Next.js application. It details how to check if caching is functioning correctly by examining specific token counts reported by each provider and the SDK. The post outlines common reasons for cache misses, such as incorrect prompt formatting, changing data within cached sections, or exceeding cache expiration times, and provides a checklist for developers to diagnose these problems. AI
IMPACT Helps developers optimize AI API costs and performance by ensuring prompt caching is correctly implemented.
RANK_REASON Technical guide on using and troubleshooting a specific software feature (prompt caching) with AI models and SDKs.
Read on dev.to — Anthropic tag →
- AI SDK
- Anthropic
- cache_creation_input_tokens
- cached_tokens
- cache_read_input_tokens
- ephemeral_1h_input_tokens
- ephemeral_5m_input_tokens
- input_tokens
- Next.js
- OpenAI
- Vercel AI SDK
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