Building a Multi-Model Production Workflow
Explore how to design a multi-model production workflow with OpenRouter by using tiered routing strategies, layered inference for complex tasks, configuration presets to decouple code from settings, and context management via transforms. Gain practical skills to optimize cost, latency, and reliability while maintaining flexibility across AI providers.
The previous lessons covered the individual capabilities of OpenRouter, such as routing requests, managing fallbacks, controlling costs, evaluating outputs, and enforcing structure. This final lesson shows how to combine them into a coherent production architecture.
Tiered model strategies
A common mistake is routing every task (user messages, database queries, formatting jobs) to the most capable, most expensive model available. This wastes money and adds unnecessary latency. A better approach is task-aware routing: divide your application’s ...