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| /** | |
| * Image Support Test | |
| * | |
| * Tests that images can be sent to the API with thinking models. | |
| * Simulates Claude Code sending screenshots or images for analysis. | |
| * | |
| * Runs for both Claude and Gemini model families. | |
| */ | |
| const fs = require('fs'); | |
| const path = require('path'); | |
| const { streamRequest, analyzeContent } = require('./helpers/http-client.cjs'); | |
| const { getTestModels, getModelConfig, familySupportsThinking } = require('./helpers/test-models.cjs'); | |
| // Load test image from disk | |
| const TEST_IMAGE_PATH = path.join(__dirname, 'utils', 'test_image.jpeg'); | |
| const TEST_IMAGE_BASE64 = fs.readFileSync(TEST_IMAGE_PATH).toString('base64'); | |
| async function runTestsForModel(family, model) { | |
| console.log('='.repeat(60)); | |
| console.log(`IMAGE SUPPORT TEST [${family.toUpperCase()}]`); | |
| console.log(`Model: ${model}`); | |
| console.log('Tests image processing with thinking models'); | |
| console.log('='.repeat(60)); | |
| console.log(''); | |
| let allPassed = true; | |
| const results = []; | |
| const modelConfig = getModelConfig(family); | |
| const expectThinking = familySupportsThinking(family); | |
| // ===== TEST 1: Single image with question ===== | |
| console.log('TEST 1: Single image with question'); | |
| console.log('-'.repeat(40)); | |
| const result1 = await streamRequest({ | |
| model, | |
| max_tokens: modelConfig.max_tokens, | |
| stream: true, | |
| thinking: modelConfig.thinking, | |
| messages: [{ | |
| role: 'user', | |
| content: [ | |
| { | |
| type: 'image', | |
| source: { | |
| type: 'base64', | |
| media_type: 'image/jpeg', | |
| data: TEST_IMAGE_BASE64 | |
| } | |
| }, | |
| { | |
| type: 'text', | |
| text: 'What do you see in this image? Describe it briefly.' | |
| } | |
| ] | |
| }] | |
| }); | |
| if (result1.error) { | |
| console.log(` ERROR: ${result1.error.message}`); | |
| allPassed = false; | |
| results.push({ name: 'Single image processing', passed: false }); | |
| } else { | |
| const content = analyzeContent(result1.content); | |
| console.log(` Thinking: ${content.hasThinking ? 'YES' : 'NO'}`); | |
| console.log(` Text response: ${content.hasText ? 'YES' : 'NO'}`); | |
| if (content.hasThinking && content.thinking[0].thinking) { | |
| console.log(` Thinking: "${content.thinking[0].thinking.substring(0, 60)}..."`); | |
| } | |
| if (content.hasText && content.text[0].text) { | |
| console.log(` Response: "${content.text[0].text.substring(0, 100)}..."`); | |
| } | |
| // For thinking models, expect thinking + text. For others, just text. | |
| const passed = expectThinking | |
| ? (content.hasThinking && content.hasText) | |
| : content.hasText; | |
| results.push({ name: 'Single image processing', passed }); | |
| if (!passed) allPassed = false; | |
| } | |
| // ===== TEST 2: Image + text in multi-turn ===== | |
| console.log('\nTEST 2: Image in multi-turn conversation'); | |
| console.log('-'.repeat(40)); | |
| const result2 = await streamRequest({ | |
| model, | |
| max_tokens: modelConfig.max_tokens, | |
| stream: true, | |
| thinking: modelConfig.thinking, | |
| messages: [ | |
| { | |
| role: 'user', | |
| content: 'I will show you an image.' | |
| }, | |
| { | |
| role: 'assistant', | |
| content: [{ | |
| type: 'text', | |
| text: 'Sure, please share the image and I\'ll help analyze it.' | |
| }] | |
| }, | |
| { | |
| role: 'user', | |
| content: [ | |
| { | |
| type: 'image', | |
| source: { | |
| type: 'base64', | |
| media_type: 'image/jpeg', | |
| data: TEST_IMAGE_BASE64 | |
| } | |
| }, | |
| { | |
| type: 'text', | |
| text: 'Here is the image. What do you see?' | |
| } | |
| ] | |
| } | |
| ] | |
| }); | |
| if (result2.error) { | |
| console.log(` ERROR: ${result2.error.message}`); | |
| allPassed = false; | |
| results.push({ name: 'Image in multi-turn', passed: false }); | |
| } else { | |
| const content = analyzeContent(result2.content); | |
| console.log(` Thinking: ${content.hasThinking ? 'YES' : 'NO'}`); | |
| console.log(` Text response: ${content.hasText ? 'YES' : 'NO'}`); | |
| if (content.hasText && content.text[0].text) { | |
| console.log(` Response: "${content.text[0].text.substring(0, 80)}..."`); | |
| } | |
| const passed = content.hasText; | |
| results.push({ name: 'Image in multi-turn', passed }); | |
| if (!passed) allPassed = false; | |
| } | |
| // ===== Summary ===== | |
| console.log('\n' + '='.repeat(60)); | |
| console.log(`SUMMARY [${family.toUpperCase()}]`); | |
| console.log('='.repeat(60)); | |
| for (const result of results) { | |
| const status = result.passed ? 'PASS' : 'FAIL'; | |
| console.log(` [${status}] ${result.name}`); | |
| } | |
| console.log('\n' + '='.repeat(60)); | |
| console.log(`[${family.toUpperCase()}] ${allPassed ? 'ALL TESTS PASSED' : 'SOME TESTS FAILED'}`); | |
| console.log('='.repeat(60)); | |
| return allPassed; | |
| } | |
| async function runTests() { | |
| const models = await getTestModels(); | |
| let allPassed = true; | |
| for (const { family, model } of models) { | |
| console.log('\n'); | |
| const passed = await runTestsForModel(family, model); | |
| if (!passed) allPassed = false; | |
| } | |
| console.log('\n' + '='.repeat(60)); | |
| console.log('FINAL RESULT'); | |
| console.log('='.repeat(60)); | |
| console.log(`Overall: ${allPassed ? 'ALL MODEL FAMILIES PASSED' : 'SOME MODEL FAMILIES FAILED'}`); | |
| console.log('='.repeat(60)); | |
| process.exit(allPassed ? 0 : 1); | |
| } | |
| runTests().catch(err => { | |
| console.error('Test failed with error:', err); | |
| process.exit(1); | |
| }); | |