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Agent tooling

ScaleDown constrained decoding models

ScaleDown's hosted family handles four narrow jobs: assigning labels, copying source passages, summarizing documents and cutting down an agent's context.

Source screenshot of ScaleDown constrained decoding models
SOURCE SCREENSHOTFull screenshot ↗

What it does

These are competing models, not a Jev integration. Classify returns label probabilities; Extract returns source spans and their positions. The cookbooks show connections to agent workflows. Speed and price comparisons come from ScaleDown, and the hosted family has no published weights.

How you can use it

Pick the cookbook for your task: assigning labels, finding exact passages or shortening documents. When extracting text, keep the original document and the returned positions. That lets your application check that the words really came from the source rather than accepting a plausible new sentence.

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