How can I reduce latency in AI workflows?
Cut context size, switch to smaller models for easy steps, and parallelize where safe. Cache frequent outputs. Avoid multi-turn back-and-forth by designing clearer first prompts. Profile each stage and remove slow, low-value checks. Sometimes adding a cheap pre-filter reduces expensive calls downstream.
In practice
Measure p95 latency per step—optimize bottlenecks, not averages.
Where to start
- [01]Introduce response caching for repeat queries.
- [02]Split workflows into fast and slow lanes.
- [03]Profile tokens and wall time per component.
- [04]Experiment with streaming where UX allows.
reduce LLM latencyfaster promptsLLM performance