model-routing-and-fallback
CommunityEfficiently route and handle LLM requests with fallback strategies.
Authorjpoindexter
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of efficiently routing requests to LLM models based on cost, latency, and quality, while also implementing fallback mechanisms for provider failures.
Core Features & Use Cases
- Model Routing: Decide which LLM model serves a request based on its cost, latency, and quality.
- Fallback Strategies: Survive provider failures with multi-provider fallback, circuit breakers, and hedging.
- Degraded Mode UX: Design a degraded user experience when falling back or downgrading models.
- Use Case: Implement this Skill in your LLM system to improve performance and reliability during peak loads or when a preferred provider is unavailable.
Quick Start
Run the 'model-routing-and-fallback' skill to route an LLM request across multiple models and handle provider failures with fallback mechanisms.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: model-routing-and-fallback Download link: https://github.com/jpoindexter/design-and-ai-skills/archive/main.zip#model-routing-and-fallback Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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