Operations
Caching
Caching stores results to avoid repeated computation.
Quick definition
Caching stores results to avoid repeated computation.
- Category: Operations
- Focus: performance and reliability
- Used in: Reducing time-to-first-token with streaming.
What it means
It saves cost and improves speed for repeated prompts. In operations workflows, caching often shapes performance and reliability.
How it works
Operations covers latency, throughput, and cost. Systems often use caching, batching, and monitoring to scale reliably.
Why it matters
Operational choices impact cost, latency, and reliability.
Common use cases
- Reducing time-to-first-token with streaming.
- Managing costs with token budgets and caching.
- Tracking usage and errors with logs and metrics.
Example
Cache common completions for FAQ answers.
Pitfalls and tips
Ignoring limits can cause timeouts or rate limiting. Set budgets and monitor usage to avoid surprises.
In BoltAI
In BoltAI, this shows up in performance, logging, or usage views.
