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How to answer several typed questions about one message with Laya MLX

Get a team choice, an urgency score and a refund yes/no flag in one call.

Who it is forAn operations lead who wants several structured answers about each customer message in a single local call.

The problemSeparate checks for team, urgency and intent are repetitive to write and run one at a time.

The outcomeOne predict call returns a choice, a rubric score and a P(true) value for the same message.

What you need first

  • An Apple Silicon Mac running macOS 14 or later
  • Python 3.11 or later
  • Internet access for the first checkpoint download, after which inference is fully local

Steps

  1. Install the package: pip install laya-mlx
  2. Load the checkpoint in Python with agent = laya.load("aac6fef/laya-mlx").
  3. Build a question dictionary with a choice question for department, a score question for urgency and a noul question for refund intent, following the Python API example.
  4. Call agent.predict with the message and the dictionary.
  5. Print result["answers"] and read each field: choice probabilities, expected score and P(true).

Prompt for your agent

In the laya-mlx repo (github.com/mizorewww/laya-mlx), write a script that loads aac6fef/laya-mlx and asks three questions about the message in <message_file>: a choice for department, a score for urgency with three rubric levels, and a noul for whether the customer asks for money back. Print the answers. Verify that the urgency value falls between 0 and 2.

Caveat. Probabilities can differ slightly across FP16 and FP32 even when the selected label agrees, so check the dtype you choose.

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