Context Caching vs. Semantic Caching: Latency Trade-Offs Across High-Throughput Agent Workflows
When enterprise engineering teams scale autonomous agent systems and interactive AI applications, latency optimization quickly becomes the dominant bottleneck. A standard multi-step agent workflow requires between three and ten sequential model calls. If each call incurs a Time-to-First-Token (TTFT) of 1.5 seconds, the end-to-end user latency balloons past ten seconds before execution completes. ...