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Edgee is an AI gateway that compresses prompts before they reach LLM providers, reducing token costs by up to 50%. It provides a single OpenAI-compatible API for 200+ models with intelligent routing and cost governance.
Edgee is an AI gateway designed to sit between your agents and LLM providers, compressing prompts to reduce token costs and extend context windows. It serves developers and teams using coding agents or building applications, providing a transparent proxy that requires no code changes to integrate.
In the AI-driven technological shift, intelligence has a cost measured in tokens, which flow through every interaction and decision. Edgee addresses the problem of escalating token expenses and provider reliability issues, enabling more efficient and cost-effective AI operations without altering application code.
Edgee applies token compression through two layers: Layer 1 for input tool-result trimming and Layer 2 for output brevity. This process cuts tool-result payloads by 60–90% at the edge while remaining semantically lossless for coding tasks, delivering the same model output with fewer tokens billed.
The gateway offers intelligent routing with automatic fallback, retrying failed requests and switching to the next available provider transparently. This ensures uninterrupted service and reliability for coding sessions and applications without requiring manual intervention.
Team management features provide full visibility into team usage of coding agents, tracking cost per repository and pull request, managing team seats, and keeping teams unblocked. Observability tools monitor latency, errors, usage, and cost per model, app, and environment.
Edgee works as a transparent proxy, applying three pillars to every request: compress, route, and observe. It installs in under a minute via CLI, connecting to coding agents like Claude Code, Codex, Copilot, OpenCode, and Cursor, instantly applying compression and routing logic.
Users benefit from up to 50% cost reduction, over 30% longer coding sessions due to extended context windows, and enhanced reliability with automatic fallback. Teams gain cost governance, usage insights, and seamless integration without code modifications.
Use cases include integrating with coding agents to save tokens on development tasks, building applications that leverage multiple LLMs with a single API, and managing team AI usage and costs across repositories and projects. It supports any agent or app requiring LLM interactions.
Publisher
A
admin
Launch Date2026-02-12
Platformweb
Pricingfreemium
Domain Authority
Ahrefs DR33/100