Building a Multi-Model Production Workflow
Explore how to build a multi-model production workflow using OpenRouter by applying tiered model routing, layered inference, decoupling configuration with presets, and managing conversation context effectively. This lesson guides you to optimize AI system costs, performance, and flexibility while simplifying maintenance and upgrades.
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 ...