by atharv404 · Codex Skill · ★ 81
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🦀 ClawRoute Intelligent cost-optimizing model router for OpenClaw Save 60-90% on your LLM costs by automatically routing requests to cheaper models when appropriate. v1.2 — Intelligent, local, and private. Updated for the latest models (Feb 2026). Works with any OpenAI-compatible client — OpenClaw, Cursor, custom apps, or direct API calls. No special detection needed. How It Works ClawRoute is a local HTTP proxy that sits between OpenClaw and your LLM providers. It: Intercepts every LLM request from OpenClaw Classifies the task complexity using local heuristics (no API calls, <5ms) Routes to the cheapest model that can handle it Escalates automatically if the cheap model fails (before streaming) Quick Start Configuration Environment Variables
| Stars | 81 |
| Forks | 13 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 73.9386442406651/100 |
| Last Updated | 2026-07-13 |
| Created | 2026-02-09 |
| Platforms | node |
| Est. Tokens | ~12k |
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ClawRoute is Intelligent Cost-Optimizing Model Router for OpenClaw. It is categorized as a Codex Skill with 81 GitHub stars.
ClawRoute is primarily written in TypeScript. It covers topics such as ai, anthropic, cost-optimization.
You can find installation instructions and usage details in the ClawRoute GitHub repository at github.com/atharv404/ClawRoute. The project has 81 stars and 13 forks, indicating an active community.
ClawRoute is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ClawRoute on Agent Skills Hub include proxy, NadirClaw, lm-proxy. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.