ai-agent-book 精选快照(<2MB 代码与文档,来自 github.com/bojieli/ai-agent-book)
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This commit is contained in:
@@ -0,0 +1,560 @@
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const assert = require('assert');
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|
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// Import LLM provider factory
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const { LLMProviderFactory } = require('../utils/providers/llmProviders');
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|
||||
// Test configuration
|
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const testConfig = {
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OPENAI_API_KEY: process.env.OPENAI_API_KEY,
|
||||
OPENROUTER_API_KEY: process.env.OPENROUTER_API_KEY,
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ARK_API_KEY: process.env.ARK_API_KEY,
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||||
SILICONFLOW_API_KEY: process.env.SILICONFLOW_API_KEY,
|
||||
|
||||
LLM_PROVIDERS: {
|
||||
openai: {
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||||
apiUrl: 'https://api.openai.com/v1/chat/completions',
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||||
model: 'gpt-5.6-luna',
|
||||
apiKey: 'OPENAI_API_KEY'
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||||
},
|
||||
'openrouter-gpt': {
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||||
apiUrl: 'https://openrouter.ai/api/v1/chat/completions',
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||||
model: 'openai/gpt-5.6-luna',
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||||
apiKey: 'OPENROUTER_API_KEY'
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||||
},
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||||
'openrouter-gemini': {
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||||
apiUrl: 'https://openrouter.ai/api/v1/chat/completions',
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||||
model: 'google/gemini-3.5-flash',
|
||||
apiKey: 'OPENROUTER_API_KEY'
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||||
},
|
||||
ark: {
|
||||
apiUrl: 'https://ark.cn-beijing.volces.com/api/v3/chat/completions',
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||||
model: 'doubao-seed-1-6-flash-250615',
|
||||
apiKey: 'ARK_API_KEY'
|
||||
}
|
||||
},
|
||||
|
||||
VISION_MAX_TOKENS: 4096
|
||||
};
|
||||
|
||||
// Test messages for different scenarios
|
||||
const testMessages = {
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simple: [
|
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{ role: 'system', content: 'You are a helpful AI assistant.' },
|
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{ role: 'user', content: 'Hello! Please respond with exactly the word "SUCCESS" to confirm you are working.' }
|
||||
],
|
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conversation: [
|
||||
{ role: 'system', content: 'You are a conversational AI assistant.' },
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||||
{ role: 'user', content: 'What is the capital of France?' },
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{ role: 'assistant', content: 'The capital of France is Paris.' },
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||||
{ role: 'user', content: 'What is its population?' }
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||||
],
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creative: [
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{ role: 'system', content: 'You are a creative writing assistant.' },
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||||
{ role: 'user', content: 'Write a very short story about a robot learning to paint. Keep it under 50 words.' }
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||||
]
|
||||
};
|
||||
|
||||
/**
|
||||
* Collect streaming response data
|
||||
*/
|
||||
async function collectStreamingResponse(response, timeout = 30000) {
|
||||
return new Promise((resolve, reject) => {
|
||||
let buffer = '';
|
||||
let accumulatedContent = '';
|
||||
let firstTokenTime = null;
|
||||
let tokenCount = 0;
|
||||
|
||||
const timeoutHandle = setTimeout(() => {
|
||||
reject(new Error('Streaming response timeout'));
|
||||
}, timeout);
|
||||
|
||||
response.data.on('data', (chunk) => {
|
||||
try {
|
||||
if (!firstTokenTime) {
|
||||
firstTokenTime = Date.now();
|
||||
}
|
||||
|
||||
buffer += chunk.toString();
|
||||
const lines = buffer.split('\n');
|
||||
// Keep the last line if it's incomplete
|
||||
buffer = lines.pop() || '';
|
||||
|
||||
for (const line of lines) {
|
||||
const trimmedLine = line.trim();
|
||||
if (!trimmedLine || trimmedLine === '[DONE]') continue;
|
||||
if (!trimmedLine.startsWith('data: ')) continue;
|
||||
|
||||
try {
|
||||
const jsonData = JSON.parse(trimmedLine.replace('data: ', ''));
|
||||
const content = jsonData.choices[0]?.delta?.content || '';
|
||||
if (content) {
|
||||
accumulatedContent += content;
|
||||
tokenCount++;
|
||||
}
|
||||
} catch (parseError) {
|
||||
// Skip malformed JSON
|
||||
continue;
|
||||
}
|
||||
}
|
||||
} catch (error) {
|
||||
reject(error);
|
||||
}
|
||||
});
|
||||
|
||||
response.data.on('end', () => {
|
||||
clearTimeout(timeoutHandle);
|
||||
resolve({
|
||||
content: accumulatedContent,
|
||||
tokenCount: tokenCount,
|
||||
firstTokenTime: firstTokenTime,
|
||||
success: true
|
||||
});
|
||||
});
|
||||
|
||||
response.data.on('error', (error) => {
|
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clearTimeout(timeoutHandle);
|
||||
reject(error);
|
||||
});
|
||||
});
|
||||
}
|
||||
|
||||
/**
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* LLM Provider Individual Tests
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*/
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describe('LLM Providers - Individual Testing', function() {
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this.timeout(120000); // 2 minute timeout for API calls
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describe('OpenAI GPT-4o LLM Provider', function() {
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let provider;
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before(function() {
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||||
if (!testConfig.OPENAI_API_KEY) {
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||||
console.log('⚠️ Skipping OpenAI LLM tests - OPENAI_API_KEY not found');
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this.skip();
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}
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||||
|
||||
try {
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provider = LLMProviderFactory.createProvider('openai', testConfig, testConfig);
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console.log('✅ OpenAI LLM Provider created successfully');
|
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} catch (error) {
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||||
console.error('❌ Failed to create OpenAI LLM provider:', error);
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||||
this.skip();
|
||||
}
|
||||
});
|
||||
|
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it('should initialize with correct configuration', function() {
|
||||
assert(provider, 'Provider should be created');
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assert.strictEqual(provider.config.model, 'gpt-5.6-luna', 'Should use gpt-5.6-luna model');
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assert.strictEqual(provider.config.apiUrl, 'https://api.openai.com/v1/chat/completions', 'Should use correct API URL');
|
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assert(provider.apiKey, 'Should have API key');
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console.log('📋 OpenAI LLM Config:', {
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model: provider.config.model,
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apiUrl: provider.config.apiUrl
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});
|
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});
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it('should generate simple chat completion', async function() {
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console.log('🤖 Testing OpenAI LLM with simple message');
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const startTime = Date.now();
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const result = await provider.createChatCompletion(testMessages.simple, {
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max_tokens: 100
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});
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const responseTime = Date.now() - startTime;
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|
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console.log('📊 OpenAI LLM Simple Test:', {
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success: result.success,
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responseTime: `${responseTime}ms`,
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provider: result.provider
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||||
});
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||||
|
||||
assert(result, 'Should return a result');
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||||
assert(typeof result.success === 'boolean', 'Should have success field');
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assert.strictEqual(result.provider, 'openai', 'Should identify as openai provider');
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||||
|
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if (result.success) {
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assert(result.response, 'Should have response object');
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console.log('✅ OpenAI LLM simple completion successful');
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} else {
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console.log('❌ OpenAI LLM simple completion failed:', result.error);
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}
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});
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it('should handle streaming chat completion', async function() {
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console.log('🌊 Testing OpenAI LLM streaming');
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const startTime = Date.now();
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const result = await provider.createChatCompletion(testMessages.simple, {
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max_tokens: 50,
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stream: true
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});
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|
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if (!result.success) {
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||||
console.log('❌ OpenAI LLM streaming setup failed:', result.error);
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||||
assert(false, 'Streaming setup should succeed');
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||||
return;
|
||||
}
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||||
|
||||
try {
|
||||
const streamResult = await collectStreamingResponse(result.response);
|
||||
const totalTime = Date.now() - startTime;
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||||
const timeToFirstToken = streamResult.firstTokenTime ? streamResult.firstTokenTime - startTime : 0;
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||||
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console.log('📊 OpenAI LLM Streaming Results:', {
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success: streamResult.success,
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totalTime: `${totalTime}ms`,
|
||||
timeToFirstToken: `${timeToFirstToken}ms`,
|
||||
tokenCount: streamResult.tokenCount,
|
||||
contentLength: streamResult.content.length
|
||||
});
|
||||
|
||||
assert(streamResult.success, 'Streaming should be successful');
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||||
assert(streamResult.content.length > 0, 'Should receive content');
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assert(streamResult.tokenCount > 0, 'Should receive tokens');
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|
||||
if (streamResult.content.length > 0) {
|
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console.log('📝 Generated content preview:', streamResult.content.substring(0, 100) + (streamResult.content.length > 100 ? '...' : ''));
|
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}
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console.log('✅ OpenAI LLM streaming successful');
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} catch (streamError) {
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console.error('❌ OpenAI LLM streaming failed:', streamError.message);
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assert(false, 'Streaming should not fail: ' + streamError.message);
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}
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});
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it('should handle conversation context', async function() {
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console.log('💬 Testing OpenAI LLM with conversation context');
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const result = await provider.createChatCompletion(testMessages.conversation, {
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max_tokens: 100
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});
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console.log('📊 OpenAI LLM Conversation Test:', {
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success: result.success,
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provider: result.provider
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});
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|
||||
assert(result, 'Should return a result');
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assert(typeof result.success === 'boolean', 'Should have success field');
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|
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if (result.success) {
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console.log('✅ OpenAI LLM conversation handling successful');
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} else {
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console.log('❌ OpenAI LLM conversation handling failed:', result.error);
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||||
}
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||||
});
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});
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|
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describe('OpenRouter GPT LLM Provider', function() {
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let provider;
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before(function() {
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if (!testConfig.OPENROUTER_API_KEY) {
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console.log('⚠️ Skipping OpenRouter GPT tests - OPENROUTER_API_KEY not found');
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this.skip();
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}
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|
||||
try {
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provider = LLMProviderFactory.createProvider('openrouter-gpt', testConfig, testConfig);
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console.log('✅ OpenRouter GPT Provider created successfully');
|
||||
} catch (error) {
|
||||
console.error('❌ Failed to create OpenRouter GPT provider:', error);
|
||||
this.skip();
|
||||
}
|
||||
});
|
||||
|
||||
it('should initialize with correct configuration', function() {
|
||||
assert(provider, 'Provider should be created');
|
||||
assert.strictEqual(provider.config.model, 'openai/gpt-5.6-luna', 'Should use openai/gpt-5.6-luna model');
|
||||
assert.strictEqual(provider.config.apiUrl, 'https://openrouter.ai/api/v1/chat/completions', 'Should use OpenRouter API URL');
|
||||
assert(provider.apiKey, 'Should have API key');
|
||||
console.log('📋 OpenRouter GPT Config:', {
|
||||
model: provider.config.model,
|
||||
apiUrl: provider.config.apiUrl
|
||||
});
|
||||
});
|
||||
|
||||
it('should generate chat completion via OpenRouter', async function() {
|
||||
console.log('🤖 Testing OpenRouter GPT');
|
||||
|
||||
const startTime = Date.now();
|
||||
const result = await provider.createChatCompletion(testMessages.simple, {
|
||||
max_tokens: 100
|
||||
});
|
||||
const responseTime = Date.now() - startTime;
|
||||
|
||||
console.log('📊 OpenRouter GPT Test:', {
|
||||
success: result.success,
|
||||
responseTime: `${responseTime}ms`,
|
||||
provider: result.provider
|
||||
});
|
||||
|
||||
assert(result, 'Should return a result');
|
||||
assert(typeof result.success === 'boolean', 'Should have success field');
|
||||
assert.strictEqual(result.provider, 'openrouter', 'Should identify as openrouter provider');
|
||||
|
||||
if (result.success) {
|
||||
console.log('✅ OpenRouter GPT completion successful');
|
||||
} else {
|
||||
console.log('❌ OpenRouter GPT completion failed:', result.error);
|
||||
}
|
||||
});
|
||||
|
||||
it('should handle streaming via OpenRouter', async function() {
|
||||
console.log('🌊 Testing OpenRouter GPT streaming');
|
||||
|
||||
const result = await provider.createChatCompletion(testMessages.simple, {
|
||||
max_tokens: 50,
|
||||
stream: true
|
||||
});
|
||||
|
||||
if (!result.success) {
|
||||
console.log('❌ OpenRouter GPT streaming setup failed:', result.error);
|
||||
return; // Don't fail the test, just log
|
||||
}
|
||||
|
||||
try {
|
||||
const streamResult = await collectStreamingResponse(result.response);
|
||||
|
||||
console.log('📊 OpenRouter GPT Streaming:', {
|
||||
success: streamResult.success,
|
||||
tokenCount: streamResult.tokenCount,
|
||||
contentLength: streamResult.content.length
|
||||
});
|
||||
|
||||
if (streamResult.success) {
|
||||
console.log('✅ OpenRouter GPT streaming successful');
|
||||
}
|
||||
} catch (streamError) {
|
||||
console.log('❌ OpenRouter GPT streaming error:', streamError.message);
|
||||
}
|
||||
});
|
||||
});
|
||||
|
||||
describe('OpenRouter Gemini LLM Provider', function() {
|
||||
let provider;
|
||||
|
||||
before(function() {
|
||||
if (!testConfig.OPENROUTER_API_KEY) {
|
||||
console.log('⚠️ Skipping OpenRouter Gemini tests - OPENROUTER_API_KEY not found');
|
||||
this.skip();
|
||||
}
|
||||
|
||||
try {
|
||||
provider = LLMProviderFactory.createProvider('openrouter-gemini', testConfig, testConfig);
|
||||
console.log('✅ OpenRouter Gemini Provider created successfully');
|
||||
} catch (error) {
|
||||
console.error('❌ Failed to create OpenRouter Gemini provider:', error);
|
||||
this.skip();
|
||||
}
|
||||
});
|
||||
|
||||
it('should initialize with correct configuration', function() {
|
||||
assert(provider, 'Provider should be created');
|
||||
assert.strictEqual(provider.config.model, 'google/gemini-3.5-flash', 'Should use gemini-3.5-flash model');
|
||||
assert.strictEqual(provider.config.apiUrl, 'https://openrouter.ai/api/v1/chat/completions', 'Should use OpenRouter API URL');
|
||||
assert(provider.apiKey, 'Should have API key');
|
||||
console.log('📋 OpenRouter Gemini Config:', {
|
||||
model: provider.config.model,
|
||||
apiUrl: provider.config.apiUrl
|
||||
});
|
||||
});
|
||||
|
||||
it('should generate chat completion with Gemini', async function() {
|
||||
console.log('🤖 Testing OpenRouter Gemini');
|
||||
|
||||
const startTime = Date.now();
|
||||
const result = await provider.createChatCompletion(testMessages.simple, {
|
||||
max_tokens: 100
|
||||
});
|
||||
const responseTime = Date.now() - startTime;
|
||||
|
||||
console.log('📊 OpenRouter Gemini Test:', {
|
||||
success: result.success,
|
||||
responseTime: `${responseTime}ms`,
|
||||
provider: result.provider
|
||||
});
|
||||
|
||||
assert(result, 'Should return a result');
|
||||
assert(typeof result.success === 'boolean', 'Should have success field');
|
||||
assert.strictEqual(result.provider, 'openrouter', 'Should identify as openrouter provider');
|
||||
|
||||
if (result.success) {
|
||||
console.log('✅ OpenRouter Gemini completion successful');
|
||||
} else {
|
||||
console.log('❌ OpenRouter Gemini completion failed:', result.error);
|
||||
}
|
||||
});
|
||||
|
||||
it('should handle creative tasks with Gemini', async function() {
|
||||
console.log('🎨 Testing OpenRouter Gemini creative task');
|
||||
|
||||
const result = await provider.createChatCompletion(testMessages.creative, {
|
||||
max_tokens: 150
|
||||
});
|
||||
|
||||
console.log('📊 OpenRouter Gemini Creative Test:', {
|
||||
success: result.success,
|
||||
provider: result.provider
|
||||
});
|
||||
|
||||
if (result.success) {
|
||||
console.log('✅ OpenRouter Gemini creative task successful');
|
||||
} else {
|
||||
console.log('❌ OpenRouter Gemini creative task failed:', result.error);
|
||||
}
|
||||
});
|
||||
});
|
||||
|
||||
describe('ARK Doubao LLM Provider', function() {
|
||||
let provider;
|
||||
|
||||
before(function() {
|
||||
if (!testConfig.ARK_API_KEY) {
|
||||
console.log('⚠️ Skipping ARK Doubao tests - ARK_API_KEY not found');
|
||||
this.skip();
|
||||
}
|
||||
|
||||
try {
|
||||
provider = LLMProviderFactory.createProvider('ark', testConfig, testConfig);
|
||||
console.log('✅ ARK Doubao Provider created successfully');
|
||||
} catch (error) {
|
||||
console.error('❌ Failed to create ARK Doubao provider:', error);
|
||||
this.skip();
|
||||
}
|
||||
});
|
||||
|
||||
it('should initialize with correct configuration', function() {
|
||||
assert(provider, 'Provider should be created');
|
||||
assert.strictEqual(provider.config.model, 'doubao-seed-1-6-flash-250615', 'Should use doubao model');
|
||||
assert.strictEqual(provider.config.apiUrl, 'https://ark.cn-beijing.volces.com/api/v3/chat/completions', 'Should use ARK API URL');
|
||||
assert(provider.apiKey, 'Should have API key');
|
||||
console.log('📋 ARK Doubao Config:', {
|
||||
model: provider.config.model,
|
||||
apiUrl: provider.config.apiUrl
|
||||
});
|
||||
});
|
||||
|
||||
it('should generate chat completion with Doubao', async function() {
|
||||
console.log('🤖 Testing ARK Doubao');
|
||||
|
||||
const startTime = Date.now();
|
||||
const result = await provider.createChatCompletion(testMessages.simple, {
|
||||
max_tokens: 100
|
||||
});
|
||||
const responseTime = Date.now() - startTime;
|
||||
|
||||
console.log('📊 ARK Doubao Test:', {
|
||||
success: result.success,
|
||||
responseTime: `${responseTime}ms`,
|
||||
provider: result.provider
|
||||
});
|
||||
|
||||
assert(result, 'Should return a result');
|
||||
assert(typeof result.success === 'boolean', 'Should have success field');
|
||||
assert.strictEqual(result.provider, 'ark', 'Should identify as ark provider');
|
||||
|
||||
if (result.success) {
|
||||
console.log('✅ ARK Doubao completion successful');
|
||||
} else {
|
||||
console.log('❌ ARK Doubao completion failed:', result.error);
|
||||
}
|
||||
});
|
||||
|
||||
it('should handle Chinese language tasks', async function() {
|
||||
console.log('🇨🇳 Testing ARK Doubao with Chinese');
|
||||
|
||||
const chineseMessages = [
|
||||
{ role: 'system', content: '你是一个有用的AI助手。' },
|
||||
{ role: 'user', content: '请用一句话介绍北京。' }
|
||||
];
|
||||
|
||||
const result = await provider.createChatCompletion(chineseMessages, {
|
||||
max_tokens: 100
|
||||
});
|
||||
|
||||
console.log('📊 ARK Doubao Chinese Test:', {
|
||||
success: result.success,
|
||||
provider: result.provider
|
||||
});
|
||||
|
||||
if (result.success) {
|
||||
console.log('✅ ARK Doubao Chinese handling successful');
|
||||
} else {
|
||||
console.log('❌ ARK Doubao Chinese handling failed:', result.error);
|
||||
}
|
||||
});
|
||||
});
|
||||
|
||||
describe('LLM Provider Performance Comparison', function() {
|
||||
it('should compare provider response times', async function() {
|
||||
const availableProviders = [];
|
||||
|
||||
if (testConfig.OPENAI_API_KEY) availableProviders.push('openai');
|
||||
if (testConfig.OPENROUTER_API_KEY) {
|
||||
availableProviders.push('openrouter-gpt', 'openrouter-gemini');
|
||||
}
|
||||
if (testConfig.ARK_API_KEY) availableProviders.push('ark');
|
||||
|
||||
if (availableProviders.length < 2) {
|
||||
console.log('⚠️ Skipping provider comparison - need at least 2 providers');
|
||||
this.skip();
|
||||
}
|
||||
|
||||
const results = {};
|
||||
console.log('🏁 Comparing LLM provider performance...');
|
||||
|
||||
for (const providerName of availableProviders) {
|
||||
try {
|
||||
const provider = LLMProviderFactory.createProvider(providerName, testConfig, testConfig);
|
||||
|
||||
const startTime = Date.now();
|
||||
const result = await provider.createChatCompletion(testMessages.simple, {
|
||||
max_tokens: 50
|
||||
});
|
||||
const duration = Date.now() - startTime;
|
||||
|
||||
results[providerName] = {
|
||||
success: result.success,
|
||||
duration: duration,
|
||||
error: result.error
|
||||
};
|
||||
} catch (error) {
|
||||
results[providerName] = {
|
||||
success: false,
|
||||
duration: 0,
|
||||
error: error.message
|
||||
};
|
||||
}
|
||||
}
|
||||
|
||||
console.log('📊 LLM Provider Performance Comparison:');
|
||||
Object.entries(results).forEach(([provider, result]) => {
|
||||
console.log(` ${provider}:`, {
|
||||
success: result.success ? '✅' : '❌',
|
||||
time: `${result.duration}ms`,
|
||||
error: result.error || 'none'
|
||||
});
|
||||
});
|
||||
|
||||
// Find fastest successful provider
|
||||
const successfulProviders = Object.entries(results).filter(([_, result]) => result.success);
|
||||
if (successfulProviders.length > 0) {
|
||||
const fastest = successfulProviders.reduce((prev, curr) =>
|
||||
prev[1].duration < curr[1].duration ? prev : curr
|
||||
);
|
||||
console.log(`🏆 Fastest LLM provider: ${fastest[0]} (${fastest[1].duration}ms)`);
|
||||
}
|
||||
|
||||
// At least one provider should work
|
||||
assert(successfulProviders.length > 0, 'At least one LLM provider should be successful');
|
||||
});
|
||||
});
|
||||
});
|
||||
|
||||
module.exports = {
|
||||
testConfig,
|
||||
testMessages,
|
||||
collectStreamingResponse
|
||||
};
|
||||
Reference in New Issue
Block a user