Latency Optimization Through Prompt Caching And Request Batching

via “prompt caching for reduced latency and cost on repeated contexts”

Cost-efficient small model replacing GPT-3.5 Turbo.

Unique: Implements transparent prompt caching at the API level using content-addressable hashing, automatically detecting and reusing identical prefixes without developer intervention — similar to KV caching in inference engines but applied to full prompt prefixes

vs others: More transparent than manual caching strategies (no code changes needed); cheaper than Claude's prompt caching for repeated contexts because cached tokens cost 90% less; simpler than building custom RAG caching because it's built into the API