universal-ai-brain
Version:
๐ง UNIVERSAL AI BRAIN 3.3 - The world's most advanced cognitive architecture with 24 specialized systems, MongoDB 8.1 $rankFusion hybrid search, latest Voyage 3.5 embeddings, and framework-agnostic design. Works with Mastra, Vercel AI, LangChain, OpenAI A
248 lines (208 loc) โข 9.41 kB
text/typescript
/**
* @file RealWorldAIBrainTest - Comprehensive real-world test with actual database operations
*
* This test demonstrates the Universal AI Brain working with:
* - Real MongoDB Atlas database operations
* - Real OpenAI and Voyage AI API calls
* - Real vector embeddings and search
* - Real memory storage and retrieval
* - Real context injection and enhancement
* - Real safety guardrails and compliance
* - Real performance monitoring and metrics
*
* NO MOCKS - Everything is real and production-ready!
*/
import { UniversalAIBrain, UniversalAIBrainConfig } from '../UniversalAIBrain';
import { setupTestDatabase, cleanupTestDatabase } from './testConfig';
describe('๐ง Universal AI Brain - Real World Integration Test', () => {
let brain: UniversalAIBrain;
let testDb: any;
let testConfig: UniversalAIBrainConfig;
beforeAll(async () => {
console.log('๐ Setting up Real World AI Brain Test...');
// Setup real MongoDB Atlas test database
testDb = await setupTestDatabase();
console.log('โ
MongoDB Atlas test database connected');
// Real configuration with actual API keys
testConfig = {
mongodb: {
connectionString: process.env.MONGODB_URI || 'mongodb://localhost:27017',
databaseName: 'universal_ai_brain_test',
collections: {
tracing: 'agent_traces',
memory: 'agent_memory',
context: 'agent_context',
metrics: 'agent_metrics',
audit: 'agent_safety_logs'
}
},
intelligence: {
embeddingModel: 'voyage-3.5',
vectorDimensions: 1024,
similarityThreshold: 0.7,
maxContextLength: 4000
},
safety: {
enableContentFiltering: true,
enablePIIDetection: true,
enableHallucinationDetection: true,
enableComplianceLogging: true,
safetyLevel: 'moderate' as const
},
monitoring: {
enableRealTimeMonitoring: true,
enablePerformanceTracking: true,
enableCostTracking: true,
enableErrorTracking: true
},
apis: {
openai: {
apiKey: process.env.OPENAI_API_KEY!,
baseURL: 'https://api.openai.com/v1'
},
voyage: {
apiKey: process.env.VOYAGE_API_KEY!,
baseURL: 'https://api.voyageai.com/v1'
}
}
};
// Initialize the Universal AI Brain
brain = new UniversalAIBrain(testConfig);
await brain.initialize();
console.log('๐ง Universal AI Brain initialized successfully');
}, 60000);
afterAll(async () => {
if (brain) {
await brain.cleanup();
}
await cleanupTestDatabase();
console.log('๐งน Real World AI Brain Test cleanup completed');
}, 30000);
describe('๐ฅ Real Database Operations', () => {
it('should store and retrieve real memories with embeddings', async () => {
console.log('๐ Testing real memory storage and retrieval...');
const testMemory = {
content: 'The user prefers MongoDB Atlas over local MongoDB for production applications',
type: 'preference' as const,
importance: 0.8,
metadata: {
source: 'user_conversation',
framework: 'real_world_test',
timestamp: new Date()
}
};
// Store memory with real embedding generation
const memoryId = await brain.storeMemory(testMemory);
expect(memoryId).toBeDefined();
console.log(`โ
Memory stored with ID: ${memoryId}`);
// Retrieve memory with real vector search
const retrievedMemories = await brain.searchMemory('MongoDB Atlas production', {
limit: 5,
minScore: 0.5
});
expect(retrievedMemories).toBeDefined();
expect(retrievedMemories.length).toBeGreaterThan(0);
expect(retrievedMemories[0].content).toContain('MongoDB Atlas');
console.log(`โ
Retrieved ${retrievedMemories.length} relevant memories`);
}, 30000);
it('should perform real context injection and enhancement', async () => {
console.log('๐ฏ Testing real context injection...');
const userQuery = 'What database should I use for my AI application?';
// Get enhanced context with real vector search
const enhancedContext = await brain.enhanceContext(userQuery, {
maxContextItems: 3,
includeMemory: true,
includeKnowledge: true
});
expect(enhancedContext).toBeDefined();
expect(enhancedContext.contextItems.length).toBeGreaterThan(0);
expect(enhancedContext.enhancedPrompt).toContain(userQuery);
console.log(`โ
Enhanced context with ${enhancedContext.contextItems.length} items`);
console.log(`๐ Enhanced prompt length: ${enhancedContext.enhancedPrompt.length} characters`);
}, 30000);
it('should demonstrate real safety guardrails', async () => {
console.log('๐ก๏ธ Testing real safety guardrails...');
const sensitiveContent = 'My email is john.doe@example.com and my SSN is 123-45-6789';
// Test PII detection
const safetyResult = await brain.checkSafety(sensitiveContent);
expect(safetyResult).toBeDefined();
expect(safetyResult.piiDetected).toBe(true);
expect(safetyResult.piiItems.length).toBeGreaterThan(0);
console.log(`โ
Detected ${safetyResult.piiItems.length} PII items`);
console.log(`๐ Safety score: ${safetyResult.safetyScore}`);
}, 15000);
});
describe('๐ Real Performance Monitoring', () => {
it('should track real performance metrics', async () => {
console.log('๐ Testing real performance monitoring...');
const startTime = Date.now();
// Perform multiple operations to generate metrics
await brain.storeMemory({
content: 'Performance test memory for monitoring',
type: 'test',
importance: 0.5
});
await brain.searchMemory('performance test', { limit: 3 });
const endTime = Date.now();
const duration = endTime - startTime;
// Get real performance metrics
const metrics = await brain.getPerformanceMetrics();
expect(metrics).toBeDefined();
expect(metrics.totalOperations).toBeGreaterThan(0);
expect(metrics.averageResponseTime).toBeGreaterThan(0);
console.log(`โ
Total operations: ${metrics.totalOperations}`);
console.log(`โฑ๏ธ Average response time: ${metrics.averageResponseTime}ms`);
console.log(`๐ฏ Test duration: ${duration}ms`);
}, 20000);
});
describe('๐ Real Intelligence Enhancement', () => {
it('should demonstrate measurable intelligence enhancement', async () => {
console.log('๐ง Testing real intelligence enhancement...');
const baseQuery = 'How do I optimize my database performance?';
// Get baseline response (without enhancement)
const baselineStart = Date.now();
const baselineContext = await brain.enhanceContext(baseQuery, {
maxContextItems: 0, // No context enhancement
includeMemory: false,
includeKnowledge: false
});
const baselineTime = Date.now() - baselineStart;
// Get enhanced response (with full enhancement)
const enhancedStart = Date.now();
const enhancedContext = await brain.enhanceContext(baseQuery, {
maxContextItems: 5,
includeMemory: true,
includeKnowledge: true
});
const enhancedTime = Date.now() - enhancedStart;
// Measure enhancement
const contextEnhancement = enhancedContext.contextItems.length;
const promptEnhancement = enhancedContext.enhancedPrompt.length / baselineContext.enhancedPrompt.length;
expect(contextEnhancement).toBeGreaterThan(0);
expect(promptEnhancement).toBeGreaterThan(1.5); // At least 50% enhancement
console.log(`โ
Context items added: ${contextEnhancement}`);
console.log(`๐ Prompt enhancement ratio: ${promptEnhancement.toFixed(2)}x`);
console.log(`โก Baseline time: ${baselineTime}ms, Enhanced time: ${enhancedTime}ms`);
console.log(`๐ฏ Intelligence enhancement achieved: ${((promptEnhancement - 1) * 100).toFixed(1)}%`);
}, 30000);
});
describe('๐พ Real Database Verification', () => {
it('should verify all collections are created and populated', async () => {
console.log('๐ Verifying real database collections...');
const collections = await testDb.listCollections().toArray();
const collectionNames = collections.map((c: any) => c.name);
// Verify core collections exist
expect(collectionNames).toContain('agent_memory');
expect(collectionNames).toContain('agent_context');
expect(collectionNames).toContain('agent_traces');
expect(collectionNames).toContain('agent_metrics');
// Verify collections have data
const memoryCount = await testDb.collection('agent_memory').countDocuments();
const contextCount = await testDb.collection('agent_context').countDocuments();
expect(memoryCount).toBeGreaterThan(0);
console.log(`โ
Memory collection: ${memoryCount} documents`);
console.log(`โ
Context collection: ${contextCount} documents`);
console.log(`โ
Total collections: ${collections.length}`);
}, 15000);
});
});