The Hidden Challenge of Multi-LLM Context Management

Why token counting isn't a solved problem when building across providers Building AI products that span multiple LLM providers involves a challenge most developers don't anticipate until they hit it: context windows are not interoperable. On the surface, managing context in a multi-LLM system seems straightforward. You track how long conversations get, trim when needed, and move on. In practice, it's considerably more complex — and if you're routing requests across providers like OpenAI, Anthrop