Demo: four deciders to learn the question types
The four examples of How to write the questions of a decider, as agent files you can run. Each one is a decider (LiquidAI d1-3B on llmman, POST /v1/systemone): no chat model, it answers typed questions about the message it receives.
| File | Decides | Questions |
|---|---|---|
symptoms.yaml |
how serious a symptom ticket is | severity (score), red_flag (noul), who (choice) |
dice421.yaml |
how many dice to throw again at 421 | reroll (choice) |
spell.yaml |
which spell a wizard should cast | spell (choice) |
fight.yaml |
fight, flee or talk | action (choice), danger (score), hurt (noul) |
Run it
Pull the model into llmman once:
llmman pull hf.co/LiquidAI/d1-3B-GGUF:Q4_K_M
Then, from this directory:
mm -config spell.yaml -p "An ogre is raising its club to hit me right now." # the server's JSON
mm -config fight.yaml # type situations, read one line per question
More messages to try, and the answers measured on 2026-10-24, are in the guide. For dice421.yaml, write what is missing into the message (Dice: 4, 2, 6. In place for 421: 4 and 2. Missing: 1.): given the dice alone, the decider got it wrong.
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