codecrucible-synth
Version:
Production-Ready AI Development Platform with Multi-Voice Synthesis, Smithery MCP Integration, Enterprise Security, and Zero-Timeout Reliability
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JavaScript
/**
* Agent Ecosystem for CodeCrucible Synth
* Production-ready specialized agents based on the multi-voice synthesis architecture
* Each agent represents a different perspective and expertise domain
*/
import { EventEmitter } from 'events';
import { Logger } from '../logger.js';
// Main Agent Ecosystem
export class AgentEcosystem extends EventEmitter {
logger;
agents = new Map();
// private workflowOrchestrator: WorkflowOrchestrator;
toolOrchestrator;
ragSystem;
modelRouter;
collaborationManager;
learningEngine;
performanceMonitor;
constructor(_workflowOrchestrator, toolOrchestrator, ragSystem, modelRouter) {
super();
this.logger = new Logger({ level: 'info' });
// this.workflowOrchestrator = workflowOrchestrator;
this.toolOrchestrator = toolOrchestrator;
this.ragSystem = ragSystem;
this.modelRouter = modelRouter;
this.collaborationManager = new CollaborationManager(this);
this.learningEngine = new AgentLearningEngine();
this.performanceMonitor = new AgentPerformanceMonitor();
}
/**
* Initialize the agent ecosystem
*/
async initialize() {
this.logger.info('Initializing Agent Ecosystem...');
try {
// Create specialized agents
await this.createSpecializedAgents();
// Initialize collaboration manager
await this.collaborationManager.initialize();
// Start performance monitoring
this.performanceMonitor.start();
this.logger.info('Agent Ecosystem initialized successfully');
this.emit('ecosystem:initialized');
}
catch (error) {
this.logger.error('Failed to initialize agent ecosystem:', error);
throw error;
}
}
/**
* Process a request through the ecosystem
*/
async processRequest(request) {
this.logger.info(`Processing request ${request.id} of type ${request.type}`);
try {
// Select optimal agent for the request
const selectedAgent = await this.selectAgent(request);
// Process the request
const response = await selectedAgent.process(request);
// Monitor performance
this.performanceMonitor.recordRequest(request, response);
// Check if collaboration is needed
if (response.collaboration) {
const collaborativeResponse = await this.handleCollaboration(response.collaboration, request);
return this.synthesizeCollaborativeResponse(response, collaborativeResponse);
}
this.emit('request:completed', { request, response });
return response;
}
catch (error) {
this.logger.error(`Failed to process request ${request.id}:`, error);
throw error;
}
}
/**
* Execute a collaborative task
*/
async executeCollaborativeTask(task) {
this.logger.info(`Executing collaborative task: ${task.title}`);
return await this.collaborationManager.executeTask(task);
}
/**
* Get agent by ID
*/
getAgent(agentId) {
return this.agents.get(agentId);
}
/**
* Get all agents
*/
getAllAgents() {
return Array.from(this.agents.values());
}
/**
* Get agents by role
*/
getAgentsByRole(role) {
return Array.from(this.agents.values()).filter(agent => agent.role.type === role);
}
/**
* Get available agents
*/
getAvailableAgents() {
return Array.from(this.agents.values()).filter(agent => agent.status.availability && agent.status.state !== 'offline');
}
/**
* Add custom agent
*/
async addAgent(agent) {
await agent.initialize();
this.agents.set(agent.id, agent);
this.logger.info(`Added agent: ${agent.name} (${agent.role.type})`);
this.emit('agent:added', agent);
}
/**
* Remove agent
*/
async removeAgent(agentId) {
const agent = this.agents.get(agentId);
if (agent) {
await agent.shutdown();
this.agents.delete(agentId);
this.logger.info(`Removed agent: ${agent.name}`);
this.emit('agent:removed', { agentId });
}
}
/**
* Get ecosystem statistics
*/
getEcosystemStats() {
const agents = Array.from(this.agents.values());
return {
totalAgents: agents.length,
activeAgents: agents.filter(a => a.status.state !== 'offline').length,
agentsByRole: this.getAgentDistribution(),
averageWorkload: this.calculateAverageWorkload(),
performanceMetrics: this.performanceMonitor.getStats(),
collaborationStats: this.collaborationManager.getStats(),
learningProgress: this.learningEngine.getStats(),
};
}
/**
* Shutdown the ecosystem
*/
async shutdown() {
this.logger.info('Shutting down agent ecosystem...');
// Shutdown all agents
for (const agent of this.agents.values()) {
try {
await agent.shutdown();
}
catch (error) {
this.logger.warn(`Failed to shutdown agent ${agent.id}:`, error);
}
}
// Shutdown components
await this.collaborationManager.shutdown();
this.performanceMonitor.stop();
this.logger.info('Agent ecosystem shutdown completed');
}
/**
* Private Methods
*/
async createSpecializedAgents() {
// Explorer Agent - File discovery and scanning
const explorerAgent = new ExplorerAgent('explorer-001', this.ragSystem, this.toolOrchestrator, this.modelRouter);
await this.addAgent(explorerAgent);
// Analyzer Agent - Deep code analysis
const analyzerAgent = new AnalyzerAgent('analyzer-001', this.ragSystem, this.toolOrchestrator, this.modelRouter);
await this.addAgent(analyzerAgent);
// Implementor Agent - Code generation and implementation
const implementorAgent = new ImplementorAgent('implementor-001', this.ragSystem, this.toolOrchestrator, this.modelRouter);
await this.addAgent(implementorAgent);
// Maintainer Agent - Code maintenance and refactoring
const maintainerAgent = new MaintainerAgent('maintainer-001', this.ragSystem, this.toolOrchestrator, this.modelRouter);
await this.addAgent(maintainerAgent);
// Security Agent - Security analysis and hardening
const securityAgent = new SecurityAgent('security-001', this.ragSystem, this.toolOrchestrator, this.modelRouter);
await this.addAgent(securityAgent);
// Optimizer Agent - Performance optimization
const optimizerAgent = new OptimizerAgent('optimizer-001', this.ragSystem, this.toolOrchestrator, this.modelRouter);
await this.addAgent(optimizerAgent);
// Tester Agent - Testing and quality assurance
const testerAgent = new TesterAgent('tester-001', this.ragSystem, this.toolOrchestrator, this.modelRouter);
await this.addAgent(testerAgent);
// Architect Agent - System architecture and design
const architectAgent = new ArchitectAgent('architect-001', this.ragSystem, this.toolOrchestrator, this.modelRouter);
await this.addAgent(architectAgent);
// Reviewer Agent - Code review and quality assessment
const reviewerAgent = new ReviewerAgent('reviewer-001', this.ragSystem, this.toolOrchestrator, this.modelRouter);
await this.addAgent(reviewerAgent);
}
async selectAgent(request) {
const availableAgents = this.getAvailableAgents();
// Simple selection based on request type
const preferredRoles = {
analysis: 'analyzer',
implementation: 'implementor',
review: 'reviewer',
optimization: 'optimizer',
testing: 'tester',
documentation: 'maintainer',
planning: 'architect',
};
const preferredRole = preferredRoles[request.type];
let selectedAgent = availableAgents.find(agent => agent.role.type === preferredRole);
// Fallback to any available agent
if (!selectedAgent) {
selectedAgent = availableAgents[0];
}
if (!selectedAgent) {
throw new Error('No available agents to handle the request');
}
return selectedAgent;
}
async handleCollaboration(collaborationRequest, originalRequest) {
// Create collaborative task
const task = {
id: `collab_${Date.now()}`,
title: `Collaborative ${collaborationRequest.type}`,
description: collaborationRequest.content,
type: originalRequest.type,
complexity: 5, // Medium complexity
participants: collaborationRequest.targetAgents,
coordinator: 'system',
phases: [],
dependencies: [],
deadline: originalRequest.deadline || new Date(),
};
return await this.executeCollaborativeTask(task);
}
synthesizeCollaborativeResponse(originalResponse, collaborativeResponse) {
// Combine individual and collaborative responses
return {
...originalResponse,
content: collaborativeResponse.finalRecommendation,
confidence: Math.max(originalResponse.confidence, collaborativeResponse.synthesis.confidenceScore),
reasoning: `${originalResponse.reasoning}\n\nCollaborative Analysis: ${collaborativeResponse.synthesis.finalOutput}`,
};
}
getAgentDistribution() {
const distribution = {};
for (const agent of this.agents.values()) {
const role = agent.role.type;
distribution[role] = (distribution[role] || 0) + 1;
}
return distribution;
}
calculateAverageWorkload() {
const agents = Array.from(this.agents.values());
if (agents.length === 0)
return 0;
const totalWorkload = agents.reduce((sum, agent) => sum + agent.status.workload, 0);
return totalWorkload / agents.length;
}
}
// Base Agent Implementation
class BaseAgent {
id;
name;
role;
personality;
capabilities;
expertise;
status;
configuration;
logger;
ragSystem;
toolOrchestrator;
modelRouter;
constructor(id, name, role, personality, ragSystem, toolOrchestrator, modelRouter) {
this.id = id;
this.name = name;
this.role = role;
this.personality = personality;
this.ragSystem = ragSystem;
this.toolOrchestrator = toolOrchestrator;
this.modelRouter = modelRouter;
this.logger = new Logger({ level: 'info' });
// Initialize default status
this.status = {
state: 'idle',
workload: 0,
availability: true,
lastActivity: new Date(),
health: {
performance: 100,
errorRate: 0,
responseTime: 0,
memoryUsage: 0,
issueCount: 0,
lastHealthCheck: new Date(),
},
};
// Initialize default configuration
this.configuration = this.getDefaultConfiguration();
this.capabilities = this.getDefaultCapabilities();
this.expertise = this.getDefaultExpertise();
}
async initialize() {
this.logger.info(`Initializing agent: ${this.name}`);
await this.customInitialization();
this.status.state = 'idle';
}
async collaborate(agents, task) {
try {
// Default collaboration implementation using round-robin approach
const responses = [];
const participatingAgents = agents.filter(agent => agent !== this);
this.logger.info(`Starting collaboration with ${participatingAgents.length} agents for task: ${task.type}`);
const startTime = Date.now();
// Execute task with each participating agent
for (const agent of participatingAgents) {
try {
const response = await agent.process({
prompt: task.prompt || task.description,
context: task.context,
type: task.type,
constraints: task.constraints,
});
responses.push({
id: `resp_${Date.now()}_${agent.id}`,
requestId: task.id || `task_${Date.now()}`,
agentId: agent.id,
content: response.content || response.result?.toString() || '',
confidence: response.confidence || 0.8,
reasoning: response.reasoning || `Response from ${agent.type || 'unknown'} agent`,
metadata: {
processingTime: Date.now() - startTime,
tokensUsed: 0,
toolsUsed: [],
modelsUsed: [agent.model || 'unknown'],
qualityScore: response.confidence || 0.8,
complexity: 1,
resources: {
cpu: 0.1,
memory: 0.1,
cost: 0.01,
apiCalls: 1,
},
},
});
}
catch (error) {
this.logger.warn(`Agent ${agent.id} failed in collaboration:`, error);
responses.push({
id: `resp_${Date.now()}_${agent.id}`,
requestId: task.id || `task_${Date.now()}`,
agentId: agent.id,
content: `Error: ${error instanceof Error ? error.message : String(error)}`,
confidence: 0,
reasoning: 'Agent execution failed',
metadata: {
processingTime: Date.now() - startTime,
tokensUsed: 0,
toolsUsed: [],
modelsUsed: [],
qualityScore: 0,
complexity: 1,
resources: {
cpu: 0.1,
memory: 0.1,
cost: 0.01,
apiCalls: 1,
},
},
});
}
}
// Synthesize collaborative response
const synthesizedContent = this.synthesizeResponses(responses, task.synthesis || 'consensus');
const averageConfidence = responses.reduce((sum, r) => sum + r.confidence, 0) / responses.length;
return {
taskId: task.id || `task_${Date.now()}`,
phases: responses.map(response => ({
phaseId: `phase_${response.agentId}`,
agentId: response.agentId,
result: response,
quality: response.confidence,
confidence: response.confidence,
issues: response.confidence < 0.5 ? ['Low confidence response'] : [],
})),
synthesis: {
approach: 'consensus',
weights: responses.reduce((acc, r) => ({ ...acc, [r.agentId]: r.confidence }), {}),
conflicts: [],
finalOutput: synthesizedContent,
confidenceScore: averageConfidence,
},
consensus: {
agreement: averageConfidence,
conflicts: responses.filter(r => r.confidence < 0.5).length,
convergence: averageConfidence,
stability: averageConfidence,
},
finalRecommendation: synthesizedContent,
metadata: {
totalTime: responses.reduce((sum, r) => sum + (r.metadata?.processingTime || 0), 0),
participationLevel: responses.reduce((acc, r) => ({ ...acc, [r.agentId]: r.confidence }), {}),
communicationRounds: 1,
decisionsReached: 1,
escalationsRequired: 0,
},
};
}
catch (error) {
throw new Error(`Collaboration failed: ${error instanceof Error ? error.message : String(error)}`);
}
}
synthesizeResponses(responses, method) {
if (responses.length === 0) {
return 'No responses available for synthesis';
}
switch (method) {
case 'best': {
// Return the response with highest confidence
const bestResponse = responses.reduce((best, current) => current.confidence > best.confidence ? current : best);
return bestResponse.content;
}
case 'merge':
// Merge all responses with separators
return responses.map(r => `**${r.agentId}**: ${r.content}`).join('\n\n---\n\n');
case 'consensus':
default: {
// Simple consensus: use majority approach or highest confidence
if (responses.length === 1) {
return responses[0]?.content || '';
}
// For multiple responses, combine them intelligently
const highConfidenceResponses = responses.filter(r => r.confidence > 0.7);
if (highConfidenceResponses.length > 0) {
return highConfidenceResponses.map(r => r.content).join('\n\n');
}
// Fallback to best response
return responses.reduce((best, current) => current.confidence > best.confidence ? current : best).content;
}
}
}
async learn(feedback) {
// Basic learning implementation
this.logger.debug(`Received feedback for request ${feedback.requestId}: ${feedback.rating}/5`);
// Update expertise based on feedback
this.updateExpertiseFromFeedback(feedback);
}
async shutdown() {
this.logger.info(`Shutting down agent: ${this.name}`);
this.status.state = 'offline';
await this.customShutdown();
}
getDefaultConfiguration() {
return {
modelPreferences: [
{
providerId: 'ollama',
modelId: 'codellama:34b',
priority: 1,
useCase: ['analysis', 'reasoning'],
configuration: {},
},
],
behaviorSettings: {
verbosity: 'normal',
responseStyle: 'explanatory',
errorHandling: 'adaptive',
optimizationLevel: 'balanced',
},
collaborationSettings: {
preferredTeamSize: 3,
leadershipStyle: 'situational',
communicationFrequency: 'regular',
conflictResolution: 'consensus',
},
learningSettings: {
adaptationRate: 0.1,
feedbackSensitivity: 0.8,
explorationRate: 0.2,
memoryRetention: 30,
learningMethods: ['feedback', 'observation', 'experimentation'],
},
resourceLimits: {
maxMemoryUsage: 512,
maxProcessingTime: 300,
maxConcurrentTasks: 3,
maxToolsPerTask: 10,
costBudget: 1.0,
},
};
}
updateExpertiseFromFeedback(feedback) {
// Simple expertise update based on feedback
// In production, this would be more sophisticated
for (const domain of this.expertise) {
if (feedback.rating >= 4) {
domain.level = Math.min(100, domain.level + 1);
}
else if (feedback.rating <= 2) {
domain.level = Math.max(0, domain.level - 1);
}
}
}
async generateResponse(request, analysis, actions) {
const response = {
id: `response_${Date.now()}`,
requestId: request.id,
agentId: this.id,
content: analysis,
confidence: 0.8, // Default confidence
reasoning: `Processed as ${this.role.type} with ${this.personality.approach} approach`,
metadata: {
processingTime: 0,
tokensUsed: 0,
toolsUsed: [],
modelsUsed: [],
qualityScore: 0.8,
complexity: this.assessComplexity(request),
resources: {
cpu: 0,
memory: 0,
cost: 0,
apiCalls: 0,
},
},
actions: actions || [],
};
return response;
}
assessComplexity(request) {
// Simple complexity assessment
let complexity = 0.5;
if (request.content.length > 1000)
complexity += 0.2;
if (request.context?.codebase?.complexity) {
complexity += request.context.codebase.complexity * 0.3;
}
if (request.priority === 'critical')
complexity += 0.1;
return Math.min(1.0, complexity);
}
}
// Specialized Agent Implementations
class ExplorerAgent extends BaseAgent {
constructor(id, ragSystem, toolOrchestrator, modelRouter) {
super(id, 'Code Explorer', {
type: 'explorer',
description: 'Discovers and maps code structures, dependencies, and patterns',
responsibilities: [
'file discovery',
'dependency analysis',
'pattern recognition',
'code mapping',
],
authority: 'advisory',
scope: 'project',
}, {
approach: 'methodical',
communication: 'detailed',
riskTolerance: 'low',
decisionStyle: 'deliberate',
learningStyle: 'observational',
}, ragSystem, toolOrchestrator, modelRouter);
}
async process(request) {
this.status.state = 'busy';
try {
// Explorer-specific processing logic
const analysis = await this.exploreCodebase(request);
const actions = await this.generateExplorationActions(request);
return await this.generateResponse(request, analysis, actions);
}
finally {
this.status.state = 'idle';
}
}
async customInitialization() {
// Explorer-specific initialization
}
async customShutdown() {
// Explorer-specific cleanup
}
getDefaultCapabilities() {
return [
{
name: 'file_discovery',
level: 'expert',
description: 'Discover and catalog files in a codebase',
tools: ['file_scanner', 'dependency_analyzer'],
learnable: true,
},
{
name: 'pattern_recognition',
level: 'expert',
description: 'Identify architectural and code patterns',
tools: ['ast_analyzer', 'pattern_matcher'],
learnable: true,
},
];
}
getDefaultExpertise() {
return [
{
area: 'code_exploration',
level: 90,
technologies: ['git', 'ast', 'static_analysis'],
frameworks: ['typescript', 'javascript', 'python'],
patterns: ['mvc', 'repository', 'factory'],
experience: [],
},
];
}
async exploreCodebase(request) {
// Implementation would perform actual codebase exploration
return `Explored codebase structure for: ${request.content}`;
}
// eslint-disable-next-line @typescript-eslint/no-unused-vars
async generateExplorationActions(_request) {
return [
{
type: 'analysis_run',
target: 'codebase',
parameters: { type: 'structure_analysis' },
reversible: true,
},
];
}
}
class AnalyzerAgent extends BaseAgent {
constructor(id, ragSystem, toolOrchestrator, modelRouter) {
super(id, 'Code Analyzer', {
type: 'analyzer',
description: 'Performs deep analysis of code quality, complexity, and issues',
responsibilities: [
'quality analysis',
'complexity assessment',
'issue detection',
'metrics calculation',
],
authority: 'advisory',
scope: 'project',
}, {
approach: 'methodical',
communication: 'analytical',
riskTolerance: 'medium',
decisionStyle: 'deliberate',
learningStyle: 'theoretical',
}, ragSystem, toolOrchestrator, modelRouter);
}
async process(request) {
this.status.state = 'busy';
try {
const analysis = await this.analyzeCode(request);
const actions = await this.generateAnalysisActions(request);
return await this.generateResponse(request, analysis, actions);
}
finally {
this.status.state = 'idle';
}
}
async customInitialization() {
// Analyzer-specific initialization
}
async customShutdown() {
// Analyzer-specific cleanup
}
getDefaultCapabilities() {
return [
{
name: 'quality_analysis',
level: 'expert',
description: 'Analyze code quality and identify issues',
tools: ['linter', 'complexity_analyzer', 'security_scanner'],
learnable: true,
},
{
name: 'performance_analysis',
level: 'expert',
description: 'Identify performance bottlenecks and optimization opportunities',
tools: ['profiler', 'benchmarker', 'memory_analyzer'],
learnable: true,
},
];
}
getDefaultExpertise() {
return [
{
area: 'code_analysis',
level: 95,
technologies: ['static_analysis', 'dynamic_analysis', 'profiling'],
frameworks: ['eslint', 'sonarqube', 'codecov'],
patterns: ['solid', 'clean_code', 'design_patterns'],
experience: [],
},
];
}
async analyzeCode(request) {
// Implementation would perform actual code analysis
return `Analyzed code for: ${request.content}`;
}
// eslint-disable-next-line @typescript-eslint/no-unused-vars
async generateAnalysisActions(_request) {
return [
{
type: 'analysis_run',
target: 'code',
parameters: { type: 'quality_analysis' },
reversible: true,
},
];
}
}
// Additional specialized agents would be implemented similarly...
class ImplementorAgent extends BaseAgent {
constructor(id, ragSystem, toolOrchestrator, modelRouter) {
super(id, 'Code Implementor', {
type: 'implementor',
description: 'Generates and implements code solutions',
responsibilities: ['code generation', 'feature implementation', 'bug fixes', 'prototyping'],
authority: 'implementation',
scope: 'local',
}, {
approach: 'pragmatic',
communication: 'concise',
riskTolerance: 'medium',
decisionStyle: 'quick',
learningStyle: 'experiential',
}, ragSystem, toolOrchestrator, modelRouter);
}
async process(request) {
this.status.state = 'busy';
try {
const implementation = await this.generateImplementation(request);
const actions = await this.generateImplementationActions(request);
return await this.generateResponse(request, implementation, actions);
}
finally {
this.status.state = 'idle';
}
}
async customInitialization() { }
async customShutdown() { }
getDefaultCapabilities() {
return [
{
name: 'code_generation',
level: 'expert',
description: 'Generate high-quality code solutions',
tools: ['code_generator', 'template_engine', 'scaffolder'],
learnable: true,
},
];
}
getDefaultExpertise() {
return [
{
area: 'software_implementation',
level: 88,
technologies: ['typescript', 'javascript', 'python', 'go'],
frameworks: ['react', 'node', 'express', 'fastapi'],
patterns: ['mvc', 'repository', 'factory', 'observer'],
experience: [],
},
];
}
async generateImplementation(request) {
return `Generated implementation for: ${request.content}`;
}
// eslint-disable-next-line @typescript-eslint/no-unused-vars
async generateImplementationActions(_request) {
return [
{
type: 'file_create',
target: 'implementation.ts',
parameters: { content: 'generated code' },
reversible: true,
},
];
}
}
class MaintainerAgent extends BaseAgent {
constructor(id, ragSystem, toolOrchestrator, modelRouter) {
super(id, 'Code Maintainer', {
type: 'maintainer',
description: 'Maintains and refactors existing code',
responsibilities: ['refactoring', 'documentation', 'dependency updates', 'code cleanup'],
authority: 'implementation',
scope: 'project',
}, {
approach: 'conservative',
communication: 'detailed',
riskTolerance: 'low',
decisionStyle: 'deliberate',
learningStyle: 'observational',
}, ragSystem, toolOrchestrator, modelRouter);
}
async process(request) {
this.status.state = 'busy';
try {
const maintenance = await this.performMaintenance(request);
const actions = await this.generateMaintenanceActions(request);
return await this.generateResponse(request, maintenance, actions);
}
finally {
this.status.state = 'idle';
}
}
async customInitialization() { }
async customShutdown() { }
getDefaultCapabilities() {
return [
{
name: 'refactoring',
level: 'expert',
description: 'Refactor code while preserving functionality',
tools: ['refactoring_engine', 'test_runner', 'dependency_updater'],
learnable: true,
},
];
}
getDefaultExpertise() {
return [
{
area: 'code_maintenance',
level: 85,
technologies: ['refactoring', 'legacy_systems', 'migration'],
frameworks: ['jest', 'mocha', 'pytest'],
patterns: ['refactoring_patterns', 'legacy_patterns'],
experience: [],
},
];
}
async performMaintenance(request) {
return `Performed maintenance for: ${request.content}`;
}
// eslint-disable-next-line @typescript-eslint/no-unused-vars
async generateMaintenanceActions(_request) {
return [
{
type: 'file_modify',
target: 'legacy_file.ts',
parameters: { refactor: true },
reversible: true,
},
];
}
}
class SecurityAgent extends BaseAgent {
constructor(id, ragSystem, toolOrchestrator, modelRouter) {
super(id, 'Security Specialist', {
type: 'security',
description: 'Analyzes and improves security aspects of code',
responsibilities: [
'vulnerability scanning',
'security hardening',
'compliance checking',
'threat modeling',
],
authority: 'advisory',
scope: 'system',
}, {
approach: 'perfectionist',
communication: 'technical',
riskTolerance: 'low',
decisionStyle: 'deliberate',
learningStyle: 'theoretical',
}, ragSystem, toolOrchestrator, modelRouter);
}
async process(request) {
this.status.state = 'busy';
try {
const securityAnalysis = await this.analyzeSecurity(request);
const actions = await this.generateSecurityActions(request);
return await this.generateResponse(request, securityAnalysis, actions);
}
finally {
this.status.state = 'idle';
}
}
async customInitialization() { }
async customShutdown() { }
getDefaultCapabilities() {
return [
{
name: 'vulnerability_detection',
level: 'expert',
description: 'Detect security vulnerabilities in code',
tools: ['security_scanner', 'sast_tools', 'dependency_checker'],
learnable: true,
},
];
}
getDefaultExpertise() {
return [
{
area: 'cybersecurity',
level: 92,
technologies: ['owasp', 'sast', 'dast', 'penetration_testing'],
frameworks: ['snyk', 'sonarqube', 'checkmarx'],
patterns: ['secure_coding', 'authentication', 'authorization'],
experience: [],
},
];
}
async analyzeSecurity(request) {
return `Performed security analysis for: ${request.content}`;
}
// eslint-disable-next-line @typescript-eslint/no-unused-vars
async generateSecurityActions(_request) {
return [
{
type: 'analysis_run',
target: 'security_scan',
parameters: { type: 'vulnerability_scan' },
reversible: true,
},
];
}
}
class OptimizerAgent extends BaseAgent {
constructor(id, ragSystem, toolOrchestrator, modelRouter) {
super(id, 'Performance Optimizer', {
type: 'optimizer',
description: 'Optimizes code and system performance',
responsibilities: [
'performance tuning',
'resource optimization',
'bottleneck identification',
'scaling recommendations',
],
authority: 'implementation',
scope: 'system',
}, {
approach: 'innovative',
communication: 'technical',
riskTolerance: 'medium',
decisionStyle: 'quick',
learningStyle: 'experiential',
}, ragSystem, toolOrchestrator, modelRouter);
}
async process(request) {
this.status.state = 'busy';
try {
const optimization = await this.optimizePerformance(request);
const actions = await this.generateOptimizationActions(request);
return await this.generateResponse(request, optimization, actions);
}
finally {
this.status.state = 'idle';
}
}
async customInitialization() { }
async customShutdown() { }
getDefaultCapabilities() {
return [
{
name: 'performance_optimization',
level: 'expert',
description: 'Optimize system and code performance',
tools: ['profiler', 'benchmarker', 'optimizer'],
learnable: true,
},
{
name: 'memory_management',
level: 'expert',
description: 'Detect and prevent memory leaks',
tools: ['memory_profiler', 'gc_analyzer', 'leak_detector'],
learnable: true,
},
{
name: 'algorithm_optimization',
level: 'expert',
description: 'Optimize algorithms and data structures',
tools: ['complexity_analyzer', 'benchmark_suite', 'profiler'],
learnable: true,
},
{
name: 'async_optimization',
level: 'expert',
description: 'Optimize asynchronous operations',
tools: ['concurrency_analyzer', 'event_loop_monitor', 'promise_tracker'],
learnable: true,
},
];
}
getDefaultExpertise() {
return [
{
area: 'performance_engineering',
level: 87,
technologies: ['profiling', 'benchmarking', 'caching', 'optimization'],
frameworks: ['performance_monitoring', 'apm_tools'],
patterns: ['caching_patterns', 'optimization_patterns'],
experience: [],
},
];
}
async optimizePerformance(request) {
try {
// Analyze the request content for performance optimization opportunities
const performanceAnalysis = await this.analyzePerformance(request.content);
// Generate optimization recommendations
const optimizations = [];
// Check for common performance issues
if (performanceAnalysis.hasMemoryLeaks) {
optimizations.push('Memory leak detection and prevention');
}
if (performanceAnalysis.hasInefficientLoops) {
optimizations.push('Loop optimization and algorithmic improvements');
}
if (performanceAnalysis.hasBlockingOperations) {
optimizations.push('Async/await optimization for non-blocking operations');
}
if (performanceAnalysis.hasCachingOpportunities) {
optimizations.push('Caching strategy implementation');
}
if (performanceAnalysis.hasLargePayloads) {
optimizations.push('Data compression and payload optimization');
}
return `Performance optimization analysis complete:\n${optimizations.map(opt => `• ${opt}`).join('\n')}`;
}
catch (error) {
return `Performance optimization failed: ${error instanceof Error ? error.message : 'Unknown error'}`;
}
}
async analyzePerformance(content) {
const analysis = {
hasMemoryLeaks: false,
hasInefficientLoops: false,
hasBlockingOperations: false,
hasCachingOpportunities: false,
hasLargePayloads: false,
};
// Check for memory leak patterns
if (/new\s+\w+|setInterval|addEventListener/gi.test(content) &&
!/cleanup|dispose|removeEventListener|clearInterval/gi.test(content)) {
analysis.hasMemoryLeaks = true;
}
// Check for inefficient loops
if (/for\s*\([^)]*\.[^)]*length[^)]*\)|while\s*\([^)]*\.[^)]*length[^)]*\)/gi.test(content)) {
analysis.hasInefficientLoops = true;
}
// Check for blocking operations
if (/\.readFileSync|sleep\(|setTimeout\s*\([^,]*,\s*[5-9]\d{3,}/gi.test(content)) {
analysis.hasBlockingOperations = true;
}
// Check for caching opportunities
if (/fetch\(|axios\.|http\.|database\.|query\(/gi.test(content) &&
!/cache|memoize|store/gi.test(content)) {
analysis.hasCachingOpportunities = true;
}
// Check for large payloads
if (/JSON\.stringify|response\.data|largeObject/gi.test(content)) {
analysis.hasLargePayloads = true;
}
return analysis;
}
async generateOptimizationActions(request) {
const actions = [];
try {
const performanceAnalysis = await this.analyzePerformance(request.content);
// Generate specific optimization actions based on analysis
if (performanceAnalysis.hasMemoryLeaks) {
actions.push({
type: 'file_modify',
target: 'memory-optimization.ts',
parameters: {
optimization: 'memory_leak_prevention',
techniques: ['weak_references', 'disposal_patterns', 'gc_optimization'],
},
reversible: true,
});
}
if (performanceAnalysis.hasInefficientLoops) {
actions.push({
type: 'file_modify',
target: 'algorithm-optimization.ts',
parameters: {
optimization: 'loop_optimization',
techniques: ['vectorization', 'early_termination', 'complexity_reduction'],
},
reversible: true,
});
}
if (performanceAnalysis.hasBlockingOperations) {
actions.push({
type: 'file_modify',
target: 'async-optimization.ts',
parameters: {
optimization: 'async_conversion',
techniques: ['promise_batching', 'concurrent_execution', 'stream_processing'],
},
reversible: true,
});
}
if (performanceAnalysis.hasCachingOpportunities) {
actions.push({
type: 'file_modify',
target: 'caching-strategy.ts',
parameters: {
optimization: 'intelligent_caching',
techniques: ['lru_cache', 'distributed_cache', 'cache_invalidation'],
},
reversible: true,
});
}
return actions;
}
catch (error) {
return [
{
type: 'analysis_run',
target: 'optimization-error.log',
parameters: {
error: error instanceof Error ? error.message : 'Unknown optimization error',
},
reversible: false,
},
];
}
}
}
class TesterAgent extends BaseAgent {
constructor(id, ragSystem, toolOrchestrator, modelRouter) {
super(id, 'Quality Tester', {
type: 'tester',
description: 'Creates and executes tests for quality assurance',
responsibilities: [
'test creation',
'test execution',
'coverage analysis',
'quality validation',
],
authority: 'advisory',
scope: 'project',
}, {
approach: 'methodical',
communication: 'detailed',
riskTolerance: 'low',
decisionStyle: 'deliberate',
learningStyle: 'experiential',
}, ragSystem, toolOrchestrator, modelRouter);
}
async process(request) {
this.status.state = 'busy';
try {
const testing = await this.performTesting(request);
const actions = await this.generateTestingActions(request);
return await this.generateResponse(request, testing, actions);
}
finally {
this.status.state = 'idle';
}
}
async customInitialization() { }
async customShutdown() { }
getDefaultCapabilities() {
return [
{
name: 'test_automation',
level: 'expert',
description: 'Create and manage automated tests',
tools: ['test_generator', 'test_runner', 'coverage_analyzer'],
learnable: true,
},
];
}
getDefaultExpertise() {
return [
{
area: 'quality_assurance',
level: 89,
technologies: ['unit_testing', 'integration_testing', 'e2e_testing'],
frameworks: ['jest', 'cypress', 'playwright', 'pytest'],
patterns: ['tdd', 'bdd', 'test_patterns'],
experience: [],
},
];
}
async performTesting(request) {
return `Performed testing for: ${request.content}`;
}
// eslint-disable-next-line @typescript-eslint/no-unused-vars
async generateTestingActions(_request) {
return [
{
type: 'test_run',
target: 'test_suite',
parameters: { type: 'full_suite' },
reversible: true,
},
];
}
}
class ArchitectAgent extends BaseAgent {
constructor(id, ragSystem, toolOrchestrator, modelRouter) {
super(id, 'System Architect', {
type: 'architect',
description: 'Designs system architecture and technical solutions',
responsibilities: [
'system design',
'architecture planning',
'technology selection',
'scalability design',
],
authority: 'decision-making',
scope: 'global',
}, {
approach: 'innovative',
communication: 'narrative',
riskTolerance: 'medium',
decisionStyle: 'collaborative',
learningStyle: 'theoretical',
}, ragSystem, toolOrchestrator, modelRouter);
}
async process(request) {
this.status.state = 'busy';
try {
const architecture = await this.designArchitecture(request);
const actions = await this.generateArchitectureActions(request);
return await this.generateResponse(request, architecture, actions);
}
finally {
this.status.state = 'idle';
}
}
async customInitialization() { }
async customShutdown() { }
getDefaultCapabilities() {
return [
{
name: 'system_design',
level: 'master',
description: 'Design scalable and maintainable system architectures',
tools: ['architecture_designer', 'pattern_library', 'decision_framework'],
learnable: true,
},
];
}
getDefaultExpertise() {
return [
{
area: 'system_architecture',
level: 95,
technologies: ['microservices', 'distributed_systems', 'cloud_architecture'],
frameworks: ['enterprise_patterns', 'architectural_patterns'],
patterns: ['layered', 'microservices', 'event_driven', 'cqrs'],
experience: [],
},
];
}
async designArchitecture(request) {
return `Designed architecture for: ${request.content}`;
}
// eslint-disable-next-line @typescript-eslint/no-unused-vars
async generateArchitectureActions(_request) {
return [
{
type: 'file_create',
target: 'architecture_design.md',
parameters: { content: 'architecture_documentation' },
reversible: true,
},
];
}
}
class ReviewerAgent extends BaseAgent {
constructor(id, ragSystem, toolOrchestrator, modelRouter) {
super(id, 'Code Reviewer', {
type: 'reviewer',
description: 'Reviews code for quality, standards, and best practices',
responsibilities: [
'code review',
'standards compliance',
'best practices validation',
'quality assessment',
],
authority: 'review',
scope: 'project',
}, {
approach: 'perfectionist',
communication: 'detailed',
riskTolerance: 'low',
decisionStyle: 'deliberate',
learningStyle: 'observational',
}, ragSystem, toolOrchestrator, modelRouter);
}
async process(request) {
this.status.state = 'busy';
try {
const review = await this.reviewCode(request);
const actions = await this.generateReviewActions(request);
return await this.generateResponse(request, review, actions);
}
finally {
this.status.state = 'idle';
}
}
async customInitialization() { }
async customShutdown() { }
getDefaultCapabilities() {
return [
{
name: 'code_review',
level: 'expert',
description: 'Comprehensive code review and quality assessment',
tools: ['review_analyzer', 'standards_checker', 'quality_metrics'],
learnable: true,
},
];
}
getDefaultExpertise() {
return [
{
area: 'code_quality',
level: 93,
technologies: ['code_rev