router-rule-tuner

What problem does it solve?

This Skill addresses the challenge of inefficient AI model routing, helping to reduce API token usage and ensure optimal model selection for different tasks without sacrificing quality.

Core Features & Use Cases

• Log Analysis: Analyzes OpenClaw Router decision logs to identify routing patterns and inefficiencies.
• Threshold Tuning: Recommends adjustments to router thresholds, weights, and keywords to favor local models for simpler tasks.
• Cost Optimization: Aims to reduce paid API model usage by intelligently keeping requests on local models where appropriate.
• Use Case: After observing that many simple user queries are being routed to expensive API models, you can use this Skill to analyze the logs and receive recommendations on how to adjust the router's configuration to send these queries to a local model instead, thereby saving costs.

Quick Start

Use the router-rule-tuner skill to analyze the decision logs and suggest configuration adjustments.