What it does

The Nex Multi-LLM Fallback Router is a production-grade composition layer that wraps multiple AI providers into a single, resilient interface. It implements an ordered fallback strategy: if a primary model like Claude times out or fails, the router transparently switches to Gemini, then Qwen, and finally a local Ollama instance. This ensures your AI pipeline stays operational even during API outages or rate-limiting events.

Why use this skill

Individual LLM APIs are points of failure. Prompting a single model directly leaves your application vulnerable to downtime. This skill provides a drop-in FallbackProvider that handles error catching, timeouts, and invalid output validation automatically. By including a local model at the end of the chain, you guarantee a baseline of service that never stops, regardless of internet connectivity or provider status.

Supported tools

• Claude: Primary high-reasoning provider.
• Gemini: High-speed, cost-effective secondary provider.
• Qwen: Lightweight API alternative.
• Ollama: Local fallback for maximum reliability.
• Python: Clean, interface-driven implementation.

The Output

You receive a complete Python package including a shared AIProvider interface, the core FallbackProvider logic, and a factory for generating specialized chains for generation or scoring tasks. The code is designed to be swapped into any system expecting a standard LLM provider.