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Context, Cost, and Latency

Explore how context size, token-driven costs, and latency interact in production LLM applications. Understand truncation effects, token budgeting, and latency metrics to design responsive and cost-efficient chat systems. Learn strategies for selective context inclusion, summarization, retrieval, and output control to maintain performance and manage operational budgets effectively.

A chat feature needs to return a helpful first answer in under 1s1\text{s} at p95p95 stands for the 95th percentile. It is a latency metric used to measure performance across requests., keep the per-interaction spend under a small fixed ceiling, and still handle users who paste long documents and arrive with weeks ...