Token Compression
When enabled, token compression runs at the edge before your request reaches LLM providers. This can reduce input tokens by up to 50% for common workloads like RAG pipelines, long document analysis, and multi-turn conversations.Up to 50% token reduction
Lower latency with smaller payloads
Real-time savings tracking
How It Works
Token compression analyzes your prompt structure to:- Remove redundant context without losing semantic meaning
- Optimize RAG document formatting for better compression ratios
- Preserve critical instructions and few-shot examples
- Maintain output quality while reducing input costs
Multiple Compression Engines
Edgee offers multiple compression engines optimized for different workloads:
Claude Token Compression
Provides fully lossless compression for Claude Code.
Codex Token Compression
Provides fully lossless compression for Codex.
Agentic Token Compression
Combines semantic analysis, tool compression, and caching, works with any model.
Edge-First Architecture
Traditional AI gateways route all traffic through centralized servers. Edgee processes requests at the edge, closest to your application or user.< 10ms processing overhead
100+ edge locations
Privacy controls built-in
How It Works
Global Network
Powered by Fastly and AWS, our network spans six continents:
Requests are automatically routed to the nearest PoP via Anycast. No configuration needed.