Latency Optimisation for LLM Apps

Latency is the AI quality users feel most directly. Saving 500 ms per call is more valuable to user experience than most accuracy gains.

Why it matters

No single technique gets you there. The toolkit: streaming, prompt caching, parallelism, smaller models for easy paths, region pinning, speculative decoding and hot connections.

How Bhogar AI approaches it

Bhogar AI ships all seven techniques with sensible defaults: streaming on, gateway-side caching available, parallel branches in workflows, cost-aware routing for tier selection, regional pinning, speculative-decoding pass-through and connection pooling.

• Streaming end-to-end
• Gateway prompt caching
• Parallel branches in workflows
• Cost-aware routing to faster tiers
• Regional model pinning
• Speculative decoding pass-through
• Connection pooling

What you get

Customers commonly cut p95 latency 30-60% applying the toolkit without quality regression.