provider-router

Route LLM tasks to optimal providers based on cost, latency, and quality criteria.

Updated May 24, 2026
One-click install
npx skills add https://github.com/haJ1t/senior-dev-squad-skills --skill provider-router
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: provider-router
Source: https://github.com/haJ1t/senior-dev-squad-skills/tree/main/plugins/agent-platform-pro/skills/provider-router
Command: npx skills add https://github.com/haJ1t/senior-dev-squad-skills --skill provider-router

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill solves the challenge of selecting the best LLM provider for a task based on its characteristics, ensuring an optimal balance between cost, latency, and quality.

Core Features & Use Cases

  • Intelligent Provider Selection: Automatically routes tasks to the optimal provider based on task requirements.
  • Cost-Latency-Quality Optimization: Ensures the selected provider meets specific cost, latency, and quality criteria.
  • Fallback Chain Management: Implements automatic fallbacks to ensure resilience in case of primary provider failure.
  • Token Budget Management: Manages token budgets across multiple providers to prevent overages.
  • Provider Health Monitoring: Monitors provider health and performance for continuous improvement.
  • Use Case: For example, when handling tasks that require high reasoning depth and a large context, the skill would automatically select the best provider with the appropriate capabilities.

Quick Start

Use the provider-router skill to select the optimal LLM provider for your task based on the provided characteristics.

Frequently Asked Questions about provider-router

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I select the optimal LLM provider based on cost, latency, and quality?

To select the optimal LLM provider, route tasks based on specific characteristics to ensure an optimal balance between cost, latency, and quality criteria. This approach dynamically evaluates provider capabilities against your task requirements.

What is the best way to manage LLM fallbacks when a primary provider fails?

The best way to manage LLM fallbacks is by implementing an automatic fallback chain that ensures resilience in case of a primary provider failure. This routing mechanism maintains task execution by switching to alternative providers automatically.

How does token budget management work across multiple LLM providers?

Token budget management across multiple LLM providers works by tracking and controlling token allocations to prevent overages. This ensures your task routing stays within defined budget constraints while maintaining operational efficiency.

Can I monitor LLM provider health and performance for continuous optimization?

Yes, you can monitor LLM provider health and performance to track availability and latency metrics continuously. This monitoring enables dynamic provider selection adjustments for ongoing cost-latency-quality optimization.

When should I use automated LLM task routing instead of manual provider selection?

You should use automated LLM task routing instead of manual selection when handling tasks that require high reasoning depth and large context. It automatically matches complex task requirements with the appropriate provider capabilities.