ClawRouters

ClawRouters is a routing layer for AI-agent workloads that sits behind an OpenAI-compatible API and decides which model should handle each request. The product is positioned around cost control: instead of sending every prompt to a premium model, it classifies the task, chooses an appropriate provider/model, and can route simple work such as Q&A, formatting, and translation to cheaper options while reserving higher-end models for harder reasoning. The site also emphasizes operational convenience through one API key, one endpoint, multiple routing strategies, analytics on spend and savings, and fallback behavior if a provider is unavailable. For OpenClawMap, this fits Infrastructure because it is not a single-purpose app for end users; it is a foundational service layer that other agents, SDK clients, and automations plug into. Teams evaluating it should think of it as model-routing middleware for controlling LLM cost, reliability, and provider access in production workflows.

Use ClawRouters when you want one OpenAI-compatible endpoint for multiple LLM providers and need automatic task-based routing instead of manually picking a model for every call. It is especially relevant when an OpenClaw deployment makes many requests with mixed complexity and you want to reduce spend, add failover, and keep integration changes minimal. It is less about building agent logic itself and more about inserting a cost- and reliability-focused routing layer between your agent and model vendors.