LLM Gateway Routing

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This skill provides a comprehensive framework for configuring and managing LLM gateways, enabling developers to bypass vendor lock-in and enhance application reliability. It offers implementation patterns for OpenRouter and LiteLLM, allowing for seamless model switching, automatic fallbacks when providers go down, and intelligent routing based on cost, latency, or task complexity. By centralizing API management and observability, it simplifies the orchestration of diverse AI models like Claude, GPT-4, and Gemini within a single, unified architecture.

Características Principales

• A/B testing and model comparison frameworks
• Multi-model orchestration via OpenRouter and LiteLLM
• 2 GitHub stars
• Self-hosted proxy configuration with LiteLLM
• Automatic fallback chains for high availability
• Cost-optimized and latency-based routing strategies

Casos de Uso

• Optimizing LLM costs by routing simple queries to cheaper models
• Building resilient AI applications with automatic provider fallbacks
• Implementing A/B tests to compare performance between different LLM providers