tryjev

import { experimental_evaluate as evaluate } from 'ai';

const { answers } = await evaluate({
  model: 'typesafe-ai/jev',
  state,
  questions: {
    category: { type: 'choice', instructions: 'Main category of this ticket',
      criteria: { bug: 'Product failure or unable to use', billing: 'Charges, payments or refunds', feature: 'Feature request', spam: 'Spam or meaningless content' } },
    bug_severity: { type: 'score', instructions: 'If this is a bug, how severe is it',
      criteria: ['cosmetic: minor visual issue', 'minor: has a workaround', 'major: core feature affected', 'blocking: completely unusable'] },
    wants_refund: { type: 'boolean', instructions: 'Is the user asking for a refund?' },
    frustration: { type: 'score', instructions: 'The user\'s mood',
      criteria: ['calm', 'annoyed', 'furious'] },
  },
});

import { experimental_evaluate as evaluate } from 'ai';

const { answers } = await evaluate({
  model: 'typesafe-ai/jev',
  state,
  questions: {
    fine: { type: 'choice', instructions: 'Most specific issue type',
      criteria: { duplicate_charge: 'Charged more than once for one purchase', declined_card: 'Payment declined at checkout', refund_status: 'Asking where a refund is', invoice_request: 'Wants an invoice or receipt' } },
    coarse: { type: 'choice', instructions: 'Broad department',
      criteria: { payments: 'Anything about charges, cards or refunds', account: 'Login, profile, settings', product: 'Using the product itself' } },
  },
});

import { experimental_evaluate as evaluate } from 'ai';

const { answers } = await evaluate({
  model: 'typesafe-ai/jev',
  state,
  questions: {
    fit: { type: 'score', instructions: 'How well does this company match a mid-market logistics customer',
      criteria: ['poor', 'partial', 'good', 'ideal'] },
    urgency: { type: 'score', instructions: 'How soon do they intend to buy',
      criteria: ['someday', 'this year', 'this quarter', 'this month'] },
    has_budget: { type: 'boolean', instructions: 'Do they state that budget is approved or available?' },
    decision_maker: { type: 'boolean', instructions: 'Does the writer appear to be a decision maker rather than a researcher?' },
  },
});

import { experimental_evaluate as evaluate } from 'ai';

const { answers } = await evaluate({
  model: 'typesafe-ai/jev',
  state,
  questions: {
    model: { type: 'choice', instructions: 'Pick the most suitable model tier for the latest user turn',
      criteria: { cheap: 'Everyday Q&A, typo fixes, light rewrites, small talk', strong: 'Multi-step reasoning, writing or debugging code, long-document analysis, math', none: 'Greeting or acknowledgement that needs no model at all' } },
  },
});