openrouter

Route AI requests across 400+ models with automatic fallbacks and streaming.

5|Updated Jan 17, 2026
One-click install
npx skills add https://github.com/DimitriGilbert/ai-skills --skill openrouter-dimitrigilbert
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openrouter
Source: https://github.com/DimitriGilbert/ai-skills/tree/main/openrouter
Command: npx skills add https://github.com/DimitriGilbert/ai-skills --skill openrouter-dimitrigilbert

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

OpenRouter provides a unified, scalable way to access 400+ AI models with features like streaming, tool calls, structured outputs, web search, multimodal inputs, and robust routing. It helps developers design reliable, cost-conscious AI workflows without juggling multiple providers or custom integration code.

Core Features & Use Cases

  • Access a wide range of models from multiple providers with model fallbacks and routing for reliability and cost control.
  • Enable streaming responses, tool calls, structured outputs, and web search within a single API surface.
  • Support multimodal inputs (images, audio, PDFs) and routing strategies to optimize latency, cost, and accuracy for complex workflows.
  • Real-world use cases include agentic systems, dynamic model selection, and resilient AI assistants across products.

Quick Start

Provide a working OpenRouter chat example with streaming enabled for a sample user question.

Frequently Asked Questions about openrouter

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

FAQPage Schema
How do I route AI agent requests across multiple models with automatic fallbacks?

API key integration requires a valid OpenRouter API key, correct model identifiers, and handling of usage metadata and finish reasons in responses. Supply these credentials to enable automated routing across 400+ models.

Can I use streaming and tool calling together when building AI agents?

Yes, streaming and tool calling are supported together within a single API surface to build robust AI agents. You can enable streaming responses and tool calls alongside structured outputs and web search for complex workflows.

Does OpenRouter API support multimodal inputs like images, audio, and PDFs?

OpenRouter API supports multimodal inputs including images, audio, and PDFs alongside text. This allows you to process diverse data formats within a single API surface while applying routing strategies to optimize latency and accuracy.

What is the best way to handle errors and ensure reliable responses in AI workflows?

The best way to ensure reliable responses is using comprehensive error handling combined with model fallbacks and provider routing. This unified approach helps design resilient AI workflows without juggling multiple providers or custom integration code.

When do I need model fallbacks and provider routing for my AI assistant?

You need model fallbacks and provider routing when building agentic systems, dynamic model selection, or resilient AI assistants across products. This approach optimizes latency, cost, and accuracy while providing a scalable way to access 400+ AI models.