Clawpane

Clawpane is an intelligent model routing layer designed specifically for OpenClaw agent workloads. Its core purpose is to automatically select the optimal LLM for each request based on cost, latency, and quality requirements, without requiring manual configuration or constant tuning. By adding Clawpane as a provider, teams can centralize and streamline how their agents interact with multiple models and providers in minutes.

The platform evaluates incoming agent requests and dynamically routes them to the most appropriate model using configurable policies and real-time performance data. It supports multi-provider setups, allowing you to mix and match models from different vendors while maintaining a single integration surface. Clawpane can incorporate constraints such as maximum cost per request, latency budgets, or minimum quality thresholds, ensuring predictable behavior at scale. Built-in monitoring and analytics give visibility into model performance, routing decisions, and overall spend, helping teams continuously refine their AI stack.