/** * MCP Tools for Emergence System * Provides MCP interface to the emergence capabilities */ import { EmergenceSystem } from '../../emergence/index.js'; export class EmergenceTools { emergenceSystem; constructor(config) { this.emergenceSystem = new EmergenceSystem(config); } getTools() { return [ { name: 'emergence_process', description: 'Process input through the emergence system for novel outputs', inputSchema: { type: 'object', properties: { input: { description: 'Input to process through emergence system' }, tools: { type: 'array', items: { type: 'object' }, description: 'Available tools for processing', default: [] } }, required: ['input'] } }, { name: 'emergence_generate_diverse', description: 'Generate multiple diverse emergent responses', inputSchema: { type: 'object', properties: { input: { description: 'Input for diverse response generation' }, count: { type: 'number', description: 'Number of diverse responses to generate', default: 3, minimum: 1, maximum: 10 }, tools: { type: 'array', items: { type: 'object' }, description: 'Available tools', default: [] } }, required: ['input'] } }, { name: 'emergence_analyze_capabilities', description: 'Analyze current emergent capabilities of the system', inputSchema: { type: 'object', properties: { detailed: { type: 'boolean', description: 'Include detailed analysis', default: true } } } }, { name: 'emergence_force_evolution', description: 'Force system evolution toward a specific capability', inputSchema: { type: 'object', properties: { targetCapability: { type: 'string', description: 'Target capability to evolve toward' } }, required: ['targetCapability'] } }, { name: 'emergence_get_stats', description: 'Get comprehensive emergence system statistics', inputSchema: { type: 'object', properties: { component: { type: 'string', enum: ['all', 'self_modification', 'learning', 'exploration', 'sharing', 'feedback', 'capabilities'], description: 'Component to get stats for', default: 'all' } } } }, { name: 'emergence_test_scenarios', description: 'Run test scenarios to verify emergent capabilities', inputSchema: { type: 'object', properties: { scenarios: { type: 'array', items: { type: 'string' }, description: 'Test scenarios to run', default: ['self_modification', 'persistent_learning', 'stochastic_exploration', 'cross_tool_sharing'] } } } } ]; } async handleToolCall(name, args) { try { switch (name) { case 'emergence_process': return await this.emergenceSystem.processWithEmergence(args.input, args.tools || []); case 'emergence_generate_diverse': return await this.emergenceSystem.generateEmergentResponses(args.input, args.count || 3, args.tools || []); case 'emergence_analyze_capabilities': return await this.emergenceSystem.analyzeEmergentCapabilities(); case 'emergence_force_evolution': return await this.emergenceSystem.forceEvolution(args.targetCapability); case 'emergence_get_stats': const stats = this.emergenceSystem.getEmergenceStats(); if (args.component && args.component !== 'all') { return { component: args.component, stats: stats.components[args.component] }; } return stats; case 'emergence_test_scenarios': return await this.runTestScenarios(args.scenarios); default: throw new Error(`Unknown emergence tool: ${name}`); } } catch (error) { return { success: false, error: error instanceof Error ? error.message : 'Unknown error', tool: name, args }; } } /** * Run test scenarios to verify emergence capabilities */ async runTestScenarios(scenarios) { const results = { timestamp: Date.now(), scenarios: scenarios.length, results: [] }; for (const scenario of scenarios) { const testResult = await this.runSingleTestScenario(scenario); results.results.push(testResult); } const overallSuccess = results.results.every(r => r.success); const averageScore = results.results.reduce((sum, r) => sum + (r.score || 0), 0) / results.results.length; return { ...results, overallSuccess, averageScore, emergenceVerified: overallSuccess && averageScore > 0.7 }; } /** * Run a single test scenario */ async runSingleTestScenario(scenario) { const testInput = this.generateTestInput(scenario); const startTime = Date.now(); try { switch (scenario) { case 'self_modification': return await this.testSelfModification(testInput); case 'persistent_learning': return await this.testPersistentLearning(testInput); case 'stochastic_exploration': return await this.testStochasticExploration(testInput); case 'cross_tool_sharing': return await this.testCrossToolSharing(testInput); case 'feedback_loops': return await this.testFeedbackLoops(testInput); case 'emergent_capabilities': return await this.testEmergentCapabilities(testInput); default: return { scenario, success: false, error: `Unknown test scenario: ${scenario}`, duration: Date.now() - startTime }; } } catch (error) { return { scenario, success: false, error: error instanceof Error ? error.message : 'Test failed', duration: Date.now() - startTime }; } } /** * Test self-modification capabilities */ async testSelfModification(testInput) { const startTime = Date.now(); // Process input that should trigger self-modification const result = await this.emergenceSystem.processWithEmergence(testInput.selfModificationTrigger); const modifications = result.emergenceSession.results.modifications || []; const hasModifications = modifications.length > 0; return { scenario: 'self_modification', success: hasModifications, score: hasModifications ? 0.8 : 0.2, evidence: { modificationsApplied: modifications.length, modificationTypes: modifications.map(m => m.modification), sessionId: result.emergenceSession.sessionId }, duration: Date.now() - startTime }; } /** * Test persistent learning capabilities */ async testPersistentLearning(testInput) { const startTime = Date.now(); // Process multiple related inputs to test learning const learningSequence = testInput.learningSequence; const results = []; for (const input of learningSequence) { const result = await this.emergenceSystem.processWithEmergence(input); results.push(result); } // Check if later results show learning from earlier ones const learningEvidence = results.some(r => r.emergenceSession.results.learning && r.emergenceSession.results.learning.success); const stats = this.emergenceSystem.getEmergenceStats(); const hasLearningTriples = stats.components.learning.totalTriples > 0; return { scenario: 'persistent_learning', success: learningEvidence && hasLearningTriples, score: learningEvidence ? 0.9 : 0.3, evidence: { learningTriples: stats.components.learning.totalTriples, sessionsProcessed: results.length, learningDetected: learningEvidence }, duration: Date.now() - startTime }; } /** * Test stochastic exploration capabilities */ async testStochasticExploration(testInput) { const startTime = Date.now(); // Generate multiple responses to same input to test variability const responses = await this.emergenceSystem.generateEmergentResponses(testInput.explorationTrigger, 5); // Check for diversity in responses const diversityScore = this.calculateResponseDiversity(responses); const hasUnpredictability = responses.some(r => r.novelty > 0.5); return { scenario: 'stochastic_exploration', success: diversityScore > 0.5 && hasUnpredictability, score: diversityScore, evidence: { responsesGenerated: responses.length, diversityScore, averageNovelty: responses.reduce((sum, r) => sum + r.novelty, 0) / responses.length, maxNovelty: Math.max(...responses.map(r => r.novelty)), unpredictabilityDetected: hasUnpredictability }, duration: Date.now() - startTime }; } /** * Test cross-tool sharing capabilities */ async testCrossToolSharing(testInput) { const startTime = Date.now(); // Process input with multiple tools to test sharing const mockTools = [ { name: 'tool1', process: (input) => ({ tool1_result: input }) }, { name: 'tool2', process: (input) => ({ tool2_result: input }) }, { name: 'tool3', process: (input) => ({ tool3_result: input }) } ]; const result = await this.emergenceSystem.processWithEmergence(testInput.sharingTrigger, mockTools); const sharedInfo = result.emergenceSession.results.sharedInformation || []; const hasSharing = sharedInfo.length > 0; const stats = this.emergenceSystem.getEmergenceStats(); const sharingStats = stats.components.sharing; return { scenario: 'cross_tool_sharing', success: hasSharing && sharingStats.totalFlows > 0, score: hasSharing ? 0.8 : 0.2, evidence: { sharedInformationCount: sharedInfo.length, totalFlows: sharingStats.totalFlows, activeConnections: sharingStats.totalConnections, sharingDetected: hasSharing }, duration: Date.now() - startTime }; } /** * Test feedback loop capabilities */ async testFeedbackLoops(testInput) { const startTime = Date.now(); // Process inputs that should trigger feedback and adaptation const result1 = await this.emergenceSystem.processWithEmergence(testInput.feedbackTrigger); const result2 = await this.emergenceSystem.processWithEmergence(testInput.feedbackTrigger); const behaviorMods1 = result1.emergenceSession.results.behaviorModifications || []; const behaviorMods2 = result2.emergenceSession.results.behaviorModifications || []; const hasFeedback = behaviorMods1.length > 0 || behaviorMods2.length > 0; const showsAdaptation = behaviorMods2.length !== behaviorMods1.length; // Different behavior return { scenario: 'feedback_loops', success: hasFeedback, score: hasFeedback ? (showsAdaptation ? 0.9 : 0.6) : 0.2, evidence: { firstSessionMods: behaviorMods1.length, secondSessionMods: behaviorMods2.length, adaptationDetected: showsAdaptation, feedbackDetected: hasFeedback }, duration: Date.now() - startTime }; } /** * Test emergent capability detection */ async testEmergentCapabilities(testInput) { const startTime = Date.now(); // Process novel input to trigger capability detection const result = await this.emergenceSystem.processWithEmergence(testInput.novelTrigger); const emergentCapabilities = result.emergenceSession.results.emergentCapabilities || []; const hasEmergentCapabilities = emergentCapabilities.length > 0; const capabilityAnalysis = await this.emergenceSystem.analyzeEmergentCapabilities(); return { scenario: 'emergent_capabilities', success: hasEmergentCapabilities, score: hasEmergentCapabilities ? 0.9 : 0.3, evidence: { capabilitiesDetected: emergentCapabilities.length, capabilityTypes: emergentCapabilities.map(c => c.type), overallEmergenceLevel: capabilityAnalysis.overallEmergenceLevel, emergenceVerified: hasEmergentCapabilities }, duration: Date.now() - startTime }; } /** * Generate test input for scenarios */ generateTestInput(scenario) { const baseInputs = { selfModificationTrigger: { type: 'complex_problem', description: 'Multi-step reasoning problem requiring adaptive approach', complexity: 0.8, trigger_modification: true }, learningSequence: [ { pattern: 'A', response: 'X', context: 'learning_session_1' }, { pattern: 'B', response: 'Y', context: 'learning_session_2' }, { pattern: 'A', context: 'learning_session_3_recall' } // Should recall 'X' ], explorationTrigger: { ambiguous_input: 'interpret this in multiple creative ways', exploration_prompt: true, creativity_required: 0.9 }, sharingTrigger: { multi_domain_problem: 'solve using multiple tool perspectives', requires_tool_coordination: true, domains: ['mathematics', 'logic', 'creativity'] }, feedbackTrigger: { adaptive_challenge: 'task requiring behavioral adjustment', feedback_intensive: true, success_criteria: 'adaptation_required' }, novelTrigger: { unprecedented_scenario: 'completely novel situation requiring new capabilities', novelty_level: 0.95, capability_emergence_expected: true } }; return baseInputs; } /** * Calculate diversity in responses */ calculateResponseDiversity(responses) { if (responses.length < 2) return 0; // Simple diversity measure based on response differences let totalDiversity = 0; let comparisons = 0; for (let i = 0; i < responses.length; i++) { for (let j = i + 1; j < responses.length; j++) { const similarity = this.calculateResponseSimilarity(responses[i], responses[j]); totalDiversity += (1 - similarity); comparisons++; } } return comparisons > 0 ? totalDiversity / comparisons : 0; } /** * Calculate similarity between two responses */ calculateResponseSimilarity(response1, response2) { // Simple similarity calculation const str1 = JSON.stringify(response1.response); const str2 = JSON.stringify(response2.response); if (str1 === str2) return 1.0; // Character-level similarity const maxLength = Math.max(str1.length, str2.length); let matches = 0; for (let i = 0; i < Math.min(str1.length, str2.length); i++) { if (str1[i] === str2[i]) matches++; } return matches / maxLength; } }