llm

import { llm } from '@routecraft/ai'

import { llm } from '@routecraft/ai'

// Text output
craft()
  .id('summarise')
  .from(source)
  .enrich(llm('anthropic:claude-haiku-4-5-20251001', {
    system: 'Summarise the following in one sentence.',
    user: (ex) => ex.body.content,
  }))
  .to(log())
// Result replaces the body: { text: '...', usage: { inputTokens, outputTokens } }
// (use only() to merge instead, e.g. .enrich(llm(...), only((r) => r.text, 'summary')))

// Structured output with Zod schema
import { z } from 'zod'

const sentimentSchema = z.object({
  sentiment: z.enum(['positive', 'neutral', 'negative']),
  confidence: z.number(),
})

craft()
  .id('classify')
  .from(source)
  .enrich(llm('openai:gpt-4o', {
    system: 'Classify the sentiment of the text.',
    user: (ex) => ex.body.text,
    output: sentimentSchema,
  }))
  .to(log())
// result.output is typed as { sentiment: 'positive' | 'neutral' | 'negative', confidence: number }