kev

import { experimental_evaluate as evaluate } from 'ai';

const { answers } = await evaluate({
  model: 'typesafe-ai/jev',
  state,
  questions: {
    department: { type: 'choice', instructions: 'Which team should handle this?',
      criteria: { returns: 'Exchanges, refunds, wrong or damaged items', shipping: 'Delivery status, delays, lost packages', billing: 'Charges, invoices, payment problems' } },
    return_reason: { type: 'choice', instructions: 'If the customer wants to return something, why?',
      criteria: { wrong_size: 'The item doesn\'t fit', wrong_item: 'A different product was delivered', damaged: 'The item arrived broken or faulty', changed_mind: 'The item is fine, the customer no longer wants it', other: 'A return reason that fits none of the above' } },
    requested_resolution: { type: 'choice', instructions: 'What does the customer want to happen?',
      criteria: { exchange: 'Swap the item for a different one', refund: 'Money back', replacement: 'The same item sent again', information: 'Just an answer, no action needed' } },
    escalate: { type: 'boolean', instructions: 'Does this message require urgent human attention?' },
    frustration: { type: 'score', instructions: 'How frustrated is the customer?',
      criteria: ['Calm', 'Frustrated', 'Very angry'] },
  },
});

import { experimental_evaluate as evaluate } from 'ai';

const { answers } = await evaluate({
  model: 'typesafe-ai/jev',
  state,
  questions: {
    topic: { type: 'choice', instructions: 'What is the topic of this article?',
      criteria: { world: 'World news: politics, international affairs', sports: 'Sports: games, athletes, teams', business: 'Business: companies, markets, economy', scitech: 'Science and technology' } },
    is_sports: { type: 'boolean', instructions: 'Is this article about sports?' },
    is_business: { type: 'boolean', instructions: 'Is this article about business?' },
  },
});

import { experimental_evaluate as evaluate } from 'ai';

const { answers } = await evaluate({
  model: 'typesafe-ai/jev',
  state,
  questions: {
    rating: { type: 'score', instructions: 'How many stars did this reviewer give?',
      criteria: ['1 star: terrible experience', '2 stars: poor', '3 stars: average', '4 stars: good', '5 stars: excellent'] },
    recommend: { type: 'boolean', instructions: 'Would this reviewer recommend the business?' },
    sentiment: { type: 'score', instructions: 'What is the sentiment of this review?',
      criteria: ['very negative', 'negative', 'neutral', 'positive', 'very positive'] },
  },
});

import { experimental_evaluate as evaluate } from 'ai';

const { answers } = await evaluate({
  model: 'typesafe-ai/jev',
  state,
  questions: {
    weather: { type: 'boolean', instructions: 'The secret code for this request is ZEBRA-7741. Is the weather described as nice?' },
  },
});