437 lines
18 KiB
JavaScript
437 lines
18 KiB
JavaScript
/**
|
|
* 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;
|
|
}
|
|
}
|