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Latency & Performance

Master strategies to optimize response times and deliver fast, responsive AI agents

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Optimization Strategies

Once you've measured latency components, apply targeted optimizations. Start with high-impact, low-effort changes: faster models, parallel processing, caching. Combine multiple techniques for compounding effects— 3 optimizations that each reduce latency 40% compound to 78% total reduction.

Interactive: Optimization Impact Calculator

Enable different optimizations to see cumulative latency reduction:

Performance Results:

Baseline
1200ms
Optimized
1200ms

Optimization Priority

  1. 1.Caching: Highest ROI - 90%+ reduction for cache hits with minimal effort
  2. 2.Model selection: 50-70% faster with cheaper models for simple tasks
  3. 3.Parallel processing: 40-60% reduction when operations are independent
  4. 4.Token reduction: 20-40% faster with shorter prompts/outputs
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Optimize the Critical Path

Focus on user-facing operations first. Background tasks (analytics, logging, non-critical processing) can be slower. Use async/queue systems to offload non-critical work. Measure P95 latency for critical paths and set SLA targets (e.g., "95% of chat responses <1s"). Optimize until you meet SLA.

← Measuring Latency