

ClawPane is an extension to OpenClaw that plugs in as a single custom provider to automatically route each agent request to the best-fit model based on priorities like cost, speed, quality, or carbon footprint. It addresses the gap in OpenClaw's agent orchestration by adding intelligent model selection without requiring changes to existing agents or prompts.
Key features include automatic routing per request to stop overpaying on easy prompts and reserve strong models for hard ones, multiple router profiles for different agent types like cost-first support agents or quality-first coding agents, automatic fallbacks to maintain operation when providers degrade or go down, and real-time cost and latency tracking per request for visibility into agent performance.
The product works by integrating directly with OpenClaw's provider pattern, allowing users to set priorities for model selection while ClawPane handles the routing decisions dynamically per prompt. This approach eliminates manual model picking and provides enforcement and visibility specifically designed for OpenClaw workflows.
Benefits include significant cost reductions of 20-45%, improved reliability through automatic fallbacks, and optimized performance through per-request model selection tailored to specific task requirements. Use cases involve mixed workloads where different prompts require different model capabilities and production environments with reliability requirements.
ClawPane targets anyone building agents on OpenClaw who experiences challenges with manual model selection, brittle defaults, and unexpected costs, particularly those with mixed workloads and production reliability needs.
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Updated 2026-03-05
ClawPane targets anyone building agents on OpenClaw who experiences challenges with manual model selection, brittle defaults, and unexpected costs. It's particularly valuable for developers and teams working with mixed workloads and production reliability requirements, where automated model optimization can significantly impact both performance and operational expenses.