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50 lines
1.9 KiB
TypeScript
50 lines
1.9 KiB
TypeScript
import { describe, expect, it } from 'vitest'
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import { buildModelCapabilityFacts, getEffectiveMaxOutputTokens, getModelBySlug } from './utils'
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describe('model catalog capability facts', () => {
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it.concurrent(
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'shows structured outputs support and published max output tokens for gpt-4o',
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() => {
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const model = getModelBySlug('openai', 'gpt-4o')
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expect(model).not.toBeNull()
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expect(model).toBeDefined()
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const capabilityFacts = buildModelCapabilityFacts(model!)
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const structuredOutputs = capabilityFacts.find((fact) => fact.label === 'Structured outputs')
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const maxOutputTokens = capabilityFacts.find((fact) => fact.label === 'Max output tokens')
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expect(getEffectiveMaxOutputTokens(model!.capabilities)).toBe(16384)
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expect(structuredOutputs?.value).toBe('Supported')
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expect(maxOutputTokens?.value).toBe('16k')
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}
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)
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it.concurrent('preserves native structured outputs labeling for claude models', () => {
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const model = getModelBySlug('anthropic', 'claude-sonnet-4-6')
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expect(model).not.toBeNull()
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expect(model).toBeDefined()
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const capabilityFacts = buildModelCapabilityFacts(model!)
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const structuredOutputs = capabilityFacts.find((fact) => fact.label === 'Structured outputs')
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expect(structuredOutputs?.value).toBe('Supported (native)')
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})
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it.concurrent('does not invent a max output token limit when one is not published', () => {
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expect(getEffectiveMaxOutputTokens({})).toBeNull()
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})
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it.concurrent('keeps best-for copy for clearly differentiated models only', () => {
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const researchModel = getModelBySlug('google', 'deep-research-pro-preview-12-2025')
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const generalModel = getModelBySlug('mistral', 'mistral-medium-latest')
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expect(researchModel).not.toBeNull()
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expect(generalModel).not.toBeNull()
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expect(researchModel?.bestFor).toContain('research workflows')
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expect(generalModel?.bestFor).toBeUndefined()
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})
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})
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