May 27, 2026
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5 min read
Provider-Agnostic Prompt Caching: How an LLM Gateway Normalizes Anthropic, OpenAI, and Bedrock
By Boyu Wang
Updated: May 26, 2026
Built for Speed: ~10ms Latency, Even Under Load
Blazingly fast way to build, track and deploy your models!
- Handles 350+ RPS on just 1 vCPU — no tuning needed
- Production-ready with full enterprise support
Every major LLM provider implements prompt caching differently. Here's how the TrueFoundry AI Gateway translates cache directives across providers, handles fallback when a target doesn't support caching, and exposes unified hit metrics — with token savings benchmarks.
TrueFoundry AI Gateway delivers ~3–4 ms latency, handles 350+ RPS on 1 vCPU, scales horizontally with ease, and is production-ready, while LiteLLM suffers from high latency, struggles beyond moderate RPS, lacks built-in scaling, and is best for light or prototype workloads.
Built for Speed: ~10ms Latency, Even Under Load
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