ModelRouterSkill

What problem does it solve?

This Skill intelligently selects the most appropriate LLM wrapper for incoming requests, ensuring efficient and safe AI model utilization.

Core Features & Use Cases

• Dynamic Model Selection: Analyzes task type and content to choose the best LLM (e.g., coder, general reasoning).
• Heuristic-Based Routing: Employs hard-coded rules to prioritize specialized models for specific tasks.
• Safety Enforcement: Never routes to wrappers with broad network policies and flags high-risk tasks.
• Use Case: When a request to "generate a Python script for data analysis" arrives, ModelRouterSkill identifies it as a code task and routes it to a coder-optimized LLM like qwen2.5-coder:32b.

Quick Start

Route the following LLM request to the most suitable model.