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choice, score, and noul. You define the options. The model returns a distribution. There is no paragraph to parse.

Walk this in order

  1. Write the document you want scored. An email, a ticket, or a short JSON state is enough.
  2. List questions whose answers you already typed. Do not ask it to write a reply.
  3. Use choice when you supply the labels, score for an ordered rubric, noul for a yes-or-no with P(true).
  4. Call the published Router with preload=True so a language switch does not reload weights.
  5. Treat the probabilities as the author’s API, not as a calibrated score on your data until you fit temperature yourself.

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