Model Router
Route AI tasks across providers with automatic fallback.
Free
Works with the AI tools you already use
Claude Code
Cursor
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GitHub Copilot
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You say
I have Ollama running llama3:70b locally and an OpenRouter account. Set up a routing chain that prioritizes local for summaries but uses OpenRouter for complex refactoring.
Your agent does
I have generated a starter config at ~/.model-router/config.json. I mapped 'local-ollama' to the 'local' tier and 'openrouter' to the 'cloud' tier. I successfully validated both endpoints. Summaries will now route locally, falling back to cloud only if Ollama is unreachable.
About this skill
A pattern-based decision framework that teaches AI agents how to intelligently route tasks across multiple model providers with automatic fallback.
Key Features:
- Multi-provider routing: Try cloud first, fall back to local providers automatically
- Vendor-agnostic GPU detection: Works with NVIDIA, AMD, Intel, and Apple Silicon
- Auto-discovery: Detect running providers (Ollama, LM Studio, llama.cpp, vLLM) on your machine
- Zero dependencies: Helper scripts use Python stdlib only
- Config-driven: Simple JSON or YAML config - bring your own providers and models
- Task-tier routing: Route complex tasks to cloud, simple queries to local - save API costs
What's included:
- SKILL.md decision framework
- Discovery script (auto-detect GPU + providers)
- Probe script (check provider health)
- Route validator (test your full chain)
- Annotated config template
Perfect for developers running local LLMs alongside cloud APIs who want a reliable fallback when their primary provider is rate-limited or down.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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