Route AI requests across multiple providers via the OpenRouter API.
npx skills add https://github.com/rawveg/skillsforge-marketplace --skill openrouter-rawveg
Please help me install this Agent Skill. Skill: openrouter Source: https://github.com/rawveg/skillsforge-marketplace/tree/main/openrouter Command: npx skills add https://github.com/rawveg/skillsforge-marketplace --skill openrouter-rawveg
This Skill explains using OpenRouter to route requests across multiple AI providers, with fallbacks, streaming, and tool calling support.
Use openrouter.auto for automatic model selection and test a chat completion with multiple providers.
High-intent search queries and answers about installing and using this skill.
OpenRouter provides unified routing across hundreds of models with automatic fallback support. Send requests to a single OpenRouter endpoint, specify multiple models in priority order, and the service automatically tries alternatives if your preferred model fails or times out.
Yes. OpenRouter offers an OpenAI-compatible API, so you can use existing OpenAI client libraries by changing the base URL to OpenRouter and adding your OpenRouter API key. This lets you access models from Anthropic, Open AI, Meta, and others through one interface.
OpenRouter supports both streaming responses and structured JSON outputs. You can enable streaming for real-time token delivery and use response_format to request validated JSON results, alongside configurable sampling parameters like temperature, top_p, and penalties.
Fallback routing automatically tries alternative models you've specified without requiring manual intervention. This ensures requests succeed even during provider outages or rate limits, improving reliability for production applications.
Yes. OpenRouter supports function and tool calling across its model roster with a unified interface. This lets you build multi-provider applications that leverage model-specific capabilities while maintaining consistent API behavior.
OpenRouter provides pricing transparency for each model, letting you compare token costs across providers on a single dashboard. You can use this data to optimize model selection based on your budget and performance requirements.
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