2025-09-21 12:03:29 +01:00
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import { simulateReadableStream } from 'ai';
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import { MockLanguageModelV2 } from 'ai/test';
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import { getResponseChunksByPrompt } from '@/tests/prompts/utils';
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2025-03-04 17:25:46 -08:00
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2025-07-03 02:26:34 -07:00
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export const chatModel = new MockLanguageModelV2({
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2025-03-04 17:25:46 -08:00
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doGenerate: async () => ({
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rawCall: { rawPrompt: null, rawSettings: {} },
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2025-09-21 12:03:29 +01:00
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finishReason: 'stop',
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2025-07-03 02:26:34 -07:00
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usage: { inputTokens: 10, outputTokens: 20, totalTokens: 30 },
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2025-09-21 12:03:29 +01:00
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content: [{ type: 'text', text: 'Hello, world!' }],
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2025-07-03 02:26:34 -07:00
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warnings: [],
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2025-03-04 17:25:46 -08:00
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}),
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doStream: async ({ prompt }) => ({
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stream: simulateReadableStream({
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2025-04-20 22:27:20 -07:00
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chunkDelayInMs: 500,
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initialDelayInMs: 1000,
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2025-03-04 17:25:46 -08:00
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chunks: getResponseChunksByPrompt(prompt),
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}),
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rawCall: { rawPrompt: null, rawSettings: {} },
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}),
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});
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2025-07-03 02:26:34 -07:00
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export const reasoningModel = new MockLanguageModelV2({
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2025-03-04 17:25:46 -08:00
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doGenerate: async () => ({
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rawCall: { rawPrompt: null, rawSettings: {} },
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2025-09-21 12:03:29 +01:00
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finishReason: 'stop',
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2025-07-03 02:26:34 -07:00
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usage: { inputTokens: 10, outputTokens: 20, totalTokens: 30 },
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2025-09-21 12:03:29 +01:00
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content: [{ type: 'text', text: 'Hello, world!' }],
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2025-07-03 02:26:34 -07:00
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warnings: [],
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2025-03-04 17:25:46 -08:00
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}),
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2025-03-09 21:02:19 -07:00
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doStream: async ({ prompt }) => ({
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2025-03-04 17:25:46 -08:00
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stream: simulateReadableStream({
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2025-04-20 22:27:20 -07:00
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chunkDelayInMs: 500,
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initialDelayInMs: 1000,
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2025-03-09 21:02:19 -07:00
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chunks: getResponseChunksByPrompt(prompt, true),
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2025-03-04 17:25:46 -08:00
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}),
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rawCall: { rawPrompt: null, rawSettings: {} },
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}),
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});
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2025-07-03 02:26:34 -07:00
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export const titleModel = new MockLanguageModelV2({
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2025-03-04 17:25:46 -08:00
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doGenerate: async () => ({
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rawCall: { rawPrompt: null, rawSettings: {} },
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2025-09-21 12:03:29 +01:00
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finishReason: 'stop',
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2025-07-03 02:26:34 -07:00
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usage: { inputTokens: 10, outputTokens: 20, totalTokens: 30 },
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2025-09-21 12:03:29 +01:00
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content: [{ type: 'text', text: 'This is a test title' }],
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warnings: [],
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}),
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doStream: async () => ({
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stream: simulateReadableStream({
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2025-04-20 22:27:20 -07:00
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chunkDelayInMs: 500,
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initialDelayInMs: 1000,
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chunks: [
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2025-09-21 12:03:29 +01:00
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{ id: '1', type: 'text-start' },
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{ id: '1', type: 'text-delta', delta: 'This is a test title' },
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{ id: '1', type: 'text-end' },
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{
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2025-09-21 12:03:29 +01:00
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type: 'finish',
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finishReason: 'stop',
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usage: { inputTokens: 3, outputTokens: 10, totalTokens: 13 },
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},
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],
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}),
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rawCall: { rawPrompt: null, rawSettings: {} },
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}),
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});
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2025-07-03 02:26:34 -07:00
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export const artifactModel = new MockLanguageModelV2({
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doGenerate: async () => ({
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rawCall: { rawPrompt: null, rawSettings: {} },
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2025-09-21 12:03:29 +01:00
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finishReason: 'stop',
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2025-07-03 02:26:34 -07:00
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usage: { inputTokens: 10, outputTokens: 20, totalTokens: 30 },
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2025-09-21 12:03:29 +01:00
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content: [{ type: 'text', text: 'Hello, world!' }],
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2025-07-03 02:26:34 -07:00
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warnings: [],
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}),
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2025-03-11 14:39:36 -07:00
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doStream: async ({ prompt }) => ({
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stream: simulateReadableStream({
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2025-03-11 15:33:18 -07:00
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chunkDelayInMs: 50,
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initialDelayInMs: 100,
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2025-03-11 14:39:36 -07:00
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chunks: getResponseChunksByPrompt(prompt),
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}),
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rawCall: { rawPrompt: null, rawSettings: {} },
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}),
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});
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