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How to send decisions with no fitting option to a person with Start Lux Decision

Use none_probability to route questions where no listed option seems right.

Who it is forOperations reviewer who handles decisions with fixed option lists and needs to catch cases where none of the options fit.

The problemA choice question can return a confident-looking answer even when none of the listed options is correct.

The outcomeQuestions whose none_probability is 0.2 or higher go to a human reviewer, and the rest are handled automatically.

What you need first

  • Python environment that can install the package with vLLM support, or a Bamboo API key for the hosted model
  • A GPU for the local vLLM setup; the README numbers were measured on one H200
  • Disk space and network access to download a model from Hugging Face

Steps

  1. Start a decision server as described in the triage use case, or use the hosted model.
  2. Add "none_check": true and "think_mode": "auto" to the request body, and keep "gate": 0.6 unless you need more reasoning. (inferred, check the README)
  3. Read none_probability on each choice answer.
  4. Route any answer with none_probability of 0.2 or more to review, and handle the rest automatically.

Prompt for your agent

Using the StartLux-Decision repo, send <question_text> with the listed <criteria> to POST /v1/systemone with none_check set to true. Return the choice, its confidence and none_probability. Verify that any answer with none_probability of 0.2 or more is marked for human review.

Caveat. The README gives 0.2 as a suggested threshold from its own evaluation, so you should check it against your own cases before relying on it.

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