SageRoute

A trajectory-aware model router.
Start every task on a cheap model. Watch what the agent actually does. Escalate only when the evidence says it is struggling.

Quick start · How it works · Configuration · Architecture · Decision model

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The problem

Agent frameworks pick a model once, at the start, from the prompt. That is a guess made at the worst possible moment, because prompts lie about difficulty in both directions. "Fix the typo in the header" turns into a four-hour dependency bisect. "Rewrite the scheduler" turns out to be a one-line change.

So teams pick one of two bad defaults. Run everything on a frontier model and pay frontier prices for tasks a small model would have finished in one turn. Or run everything cheap and watch agents thrash: rewriting the same file, re-running the same failing test, burning an hour and a full context window before failing anyway.

**SageRoute makes the decision later, when there is actually something to look at.**

Every task starts cheap. Each turn, the proxy reads what the agent did, not what it said: which tools it called, which commands failed and with what error class, whether it is looping, whether anything has actually passed, and how much has been spent. That evidence goes to the [Levan