OpenRouter: Unified LLM Access and Multi-Model Orchestration

OpenRouter is a unified routing layer over the modern LLM ecosystem, giving developers access to models across OpenAI, Anthropic, Google, Meta, Mistral, and open-source providers through a single interface. In this course, we focus on the features that make OpenRouter stand out: model abstraction, provider routing, automatic fallbacks, cost-aware selection, response formatting, and ecosystem-level flexibility. You will start by understanding OpenRouter’s architecture and how it differs from calling a single model provider directly. From there, you’ll learn how to query multiple models using the same request structure, switch providers without code rewrites, and dynamically route traffic based on cost or capability. You’ll explore advanced features like model comparison, structured outputs, JSON mode, tool calling compatibility, and how to design fallback strategies that protect your production systems from outages. You’ll also learn how OpenRouter enables experimentation, allowing you to benchmark and swap models without re-architecting your stack. By the end of this course, you’ll know how to use OpenRouter as a model orchestration layer and design systems that remain flexible as the AI landscape evolves.