Coming soon · Built for LLM production workloads
Cut your LLM token
costs by 80-99%.
The complete toolkit for prompt caching, KV cache optimization, and intelligent token management — without sacrificing quality.
90%
Input token savings
via prompt caching
70%
Fewer output tokens
token-efficient tool use
60-95%
Cost reduction
smart model routing
Everything you need to run LLMs efficiently
Battle-tested optimization techniques from the frontier of production LLM serving.
Prompt Caching
Automatic cache-header injection across Anthropic, OpenAI, and self-hosted models. Zero code changes.
90% ↓ input tokens
KV Cache Optimization
PagedAttention, RadixAttention, disaggregated prefill/decode. 3× throughput on the same hardware.
3× throughput
Smart Model Routing
Route by complexity: Haiku for simple, Opus for hard. Learned from your traffic patterns.
60-95% ↓ costs
Cost Observability
Real-time token accounting, per-endpoint budgets, and anomaly detection out of the box.
Full visibility
Prompt Compression
LLMLingua-style compression that preserves semantics — safely shrink context before it hits the model.
2-6× smaller
Batch API Integration
Automatically queue non-urgent work to batch endpoints. 50% off on eligible calls.
50% ↓ cost
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