llm-routing

What problem does it solve?

This Skill addresses the challenge of managing multiple Large Language Model (LLM) calls efficiently by implementing a smart routing system that prioritizes free models, tracks costs in real-time, and seamlessly falls back to paid or local models when necessary.

Core Features & Use Cases

• Multi-Tier Routing: Routes LLM requests through a prioritized chain of free APIs, subscription-based models, and local fallback options to optimize costs.
• Cost Monitoring: Continuously tracks usage and expenses, providing budget alerts and detailed summaries to ensure spending remains within limits.
• Use Case: Ideal for researchers and developers conducting long-term projects with strict cost constraints, enabling scalable and sustainable LLM utilization while maintaining high performance.

Quick Start

Input a task such as "Summarize research papers" and the system automatically selects the optimal model based on current budget, rate limits, and task priority.