Your Agentic Workflow's Cache Keepalive Costs 8x Too Much
Summary
The article analyzes cache keepalive economics for agentic LLM workloads across Anthropic, OpenAI, Gemini, and DeepSeek, finding that a ~4-minute interval under TTL is often optimal while the standard 30-second ping is costly. It details provider-specific regimes, highlighting Anthropic as the only one where keepalives save money, while others trade off latency or offer little financial benefit. It provides practical rules to decide when to keep caches warm and when to abandon them, backed by measured data.