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alexdcd
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openrouter

Route requests across 400+ AI models with automatic failover via a unified API.

46|14|Updated Jan 11, 2026
Search Tags:#streaming#openrouter#fallback#multi-provider#structured-output#model-routing
One-click install
npx skills add https://github.com/alexdcd/Mafia-Claude-Skills --skill openrouter-alexdcd
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openrouter
Source: https://github.com/alexdcd/Mafia-Claude-Skills/tree/main/skills/openrouter
Command: npx skills add https://github.com/alexdcd/Mafia-Claude-Skills --skill openrouter-alexdcd

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Connects to 400+ AI models via a unified API, enabling deterministic routing, fallbacks, and standardized interfaces for multi-provider tasks.

Core Features & Use Cases

  • Unified model routing with auto-router and provider fallbacks for reliability in production apps.
  • Cross-provider model comparison, streaming outputs, and JSON-mode structured responses for easy integration.
  • Real-world use: Build a multi-provider AI app that routes prompts to the best model and gracefully falls back when a provider is unavailable.

Quick Start

Configure an OpenRouter client and call the chat endpoint with multiple models to see automatic routing and failover in action.

Frequently Asked Questions about openrouter

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I integrate multiple AI providers with fallbacks in my application?▼

To route requests across multiple AI providers with automatic failover, use a unified API that connects to 400+ models and gracefully falls back when a provider is unavailable. This ensures production reliability without managing separate SDKs.

What is multi-provider model routing and when do I need it?▼

Multi-provider model routing sends prompts to different AI models through a single endpoint. You need it when comparing model outputs across providers in real-time or requiring an auto-router to select the best model for a given prompt.

Can I use an OpenAI-compatible SDK for structured JSON outputs and streaming?▼

Yes, you can use OpenAI-compatible SDK patterns to access structured JSON outputs and streaming responses. The unified API standardizes interfaces for multi-provider tasks, supporting parameters like temperature, top_p, and penalties.

How do I compare AI model outputs across different providers in real-time?▼

Compare AI model outputs across providers by calling a unified chat endpoint with multiple models configured. This enables real-time cross-provider comparison, allowing you to evaluate streaming responses and structured JSON side-by-side.

Does unified API model routing support temperature and top_p parameters?▼

Yes, unified API model routing supports temperature, top_p, and penalties. It applies OpenAI-compatible SDK patterns to route requests, auto-selecting the best model for a given prompt while maintaining standard generation parameter control.

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