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🚀 AI-Powered Swarm Intelligence Platform - Gamified MCP Development with 70+ Tools

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import { z } from 'zod'; import { WasmDAARuntime } from '../wasm/runtime'; import { AgentType } from '../types'; // Validation schemas const SpawnAgentSchema = z.object({ type: z.enum(['curator', 'pricing', 'security', 'recommendation']), config: z.record(z.any()).optional(), name: z.string().optional() }); const ExecuteFunctionSchema = z.object({ agentId: z.string(), functionName: z.string(), params: z.record(z.any()).optional() }); const TrainModelSchema = z.object({ agentId: z.string(), trainingData: z.array(z.any()), epochs: z.number().min(1).max(1000).optional(), learningRate: z.number().min(0.0001).max(1).optional() }); const AssessQualitySchema = z.object({ repositoryUrl: z.string().url(), applicationData: z.object({ name: z.string(), description: z.string(), category: z.string() }), criteria: z.object({ codeQuality: z.boolean().optional(), documentation: z.boolean().optional(), security: z.boolean().optional(), performance: z.boolean().optional() }).optional() }); export class DAAAgentTools { constructor(private runtime: WasmDAARuntime) {} getTools() { return [ { name: 'daa_agent_spawn', description: 'Spawn a new DAA agent with specified configuration', inputSchema: { type: 'object', properties: { type: { type: 'string', enum: ['curator', 'pricing', 'security', 'recommendation'], description: 'Type of agent to spawn' }, config: { type: 'object', description: 'Agent-specific configuration parameters', additionalProperties: true }, name: { type: 'string', description: 'Optional human-readable name for the agent' } }, required: ['type'] }, handler: this.spawnAgent.bind(this) }, { name: 'daa_agent_execute', description: 'Execute a function on a specific DAA agent', inputSchema: { type: 'object', properties: { agentId: { type: 'string', description: 'ID of the agent to execute function on' }, functionName: { type: 'string', description: 'Name of the function to execute' }, params: { type: 'object', description: 'Parameters to pass to the function', additionalProperties: true } }, required: ['agentId', 'functionName'] }, handler: this.executeFunction.bind(this) }, { name: 'daa_agent_train', description: 'Train ML models within DAA agents', inputSchema: { type: 'object', properties: { agentId: { type: 'string', description: 'ID of the agent to train' }, trainingData: { type: 'array', description: 'Training dataset', items: { type: 'object' } }, epochs: { type: 'number', minimum: 1, maximum: 1000, description: 'Number of training epochs' }, learningRate: { type: 'number', minimum: 0.0001, maximum: 1, description: 'Learning rate for training' } }, required: ['agentId', 'trainingData'] }, handler: this.trainModel.bind(this) }, { name: 'daa_assess_quality', description: 'Assess application quality using curator agents', inputSchema: { type: 'object', properties: { repositoryUrl: { type: 'string', format: 'uri', description: 'URL of the repository to assess' }, applicationData: { type: 'object', properties: { name: { type: 'string' }, description: { type: 'string' }, category: { type: 'string' } }, required: ['name', 'description', 'category'] }, criteria: { type: 'object', properties: { codeQuality: { type: 'boolean' }, documentation: { type: 'boolean' }, security: { type: 'boolean' }, performance: { type: 'boolean' } } } }, required: ['repositoryUrl', 'applicationData'] }, handler: this.assessQuality.bind(this) }, { name: 'daa_analyze_pricing', description: 'Analyze optimal pricing for applications using pricing agents', inputSchema: { type: 'object', properties: { applicationId: { type: 'string', description: 'Application ID to analyze pricing for' }, marketData: { type: 'object', description: 'Current market conditions and competitor data' }, currentPrice: { type: 'number', minimum: 0, description: 'Current price of the application' } }, required: ['applicationId'] }, handler: this.analyzePricing.bind(this) }, { name: 'daa_security_scan', description: 'Perform security scanning using security agents', inputSchema: { type: 'object', properties: { repositoryUrl: { type: 'string', format: 'uri', description: 'Repository URL to scan' }, scanDepth: { type: 'string', enum: ['basic', 'comprehensive', 'thorough'], description: 'Depth of security scan' }, includeCompliance: { type: 'boolean', description: 'Include compliance checks' } }, required: ['repositoryUrl'] }, handler: this.securityScan.bind(this) }, { name: 'daa_generate_recommendations', description: 'Generate personalized recommendations using recommendation agents', inputSchema: { type: 'object', properties: { userId: { type: 'string', description: 'User ID to generate recommendations for' }, category: { type: 'string', description: 'Optional category filter' }, limit: { type: 'number', minimum: 1, maximum: 50, description: 'Maximum number of recommendations' }, context: { type: 'object', description: 'Additional context for recommendations' } }, required: ['userId'] }, handler: this.generateRecommendations.bind(this) }, { name: 'daa_agent_metrics', description: 'Get performance metrics for DAA agents', inputSchema: { type: 'object', properties: { agentId: { type: 'string', description: 'Specific agent ID (optional)' }, agentType: { type: 'string', enum: ['curator', 'pricing', 'security', 'recommendation'], description: 'Filter by agent type' }, includePerformance: { type: 'boolean', description: 'Include detailed performance metrics' } } }, handler: this.getAgentMetrics.bind(this) }, { name: 'daa_agent_list', description: 'List all active DAA agents', inputSchema: { type: 'object', properties: { status: { type: 'string', enum: ['all', 'idle', 'busy', 'error'], description: 'Filter agents by status' }, type: { type: 'string', enum: ['curator', 'pricing', 'security', 'recommendation'], description: 'Filter by agent type' } } }, handler: this.listAgents.bind(this) }, { name: 'daa_agent_terminate', description: 'Terminate a specific DAA agent', inputSchema: { type: 'object', properties: { agentId: { type: 'string', description: 'ID of the agent to terminate' }, force: { type: 'boolean', description: 'Force termination even if agent is busy' } }, required: ['agentId'] }, handler: this.terminateAgent.bind(this) } ]; } private async spawnAgent(params: any): Promise<any> { try { const validated = SpawnAgentSchema.parse(params); if (!this.runtime.isInitialized) { throw new Error('WASM DAA Runtime not initialized'); } const agentId = await this.runtime.spawnAgent( validated.type as AgentType, validated.config || {} ); return { success: true, agentId, type: validated.type, name: validated.name || `${validated.type}-agent`, status: 'idle', timestamp: new Date().toISOString() }; } catch (error) { return { success: false, error: error instanceof Error ? error.message : 'Unknown error occurred' }; } } private async executeFunction(params: any): Promise<any> { try { const validated = ExecuteFunctionSchema.parse(params); const result = await this.runtime.executeFunction( validated.agentId, validated.functionName, validated.params || {} ); return { success: true, agentId: validated.agentId, functionName: validated.functionName, result, timestamp: new Date().toISOString() }; } catch (error) { return { success: false, error: error instanceof Error ? error.message : 'Unknown error occurred' }; } } private async trainModel(params: any): Promise<any> { try { const validated = TrainModelSchema.parse(params); const result = await this.runtime.executeFunction( validated.agentId, 'train_model', { trainingData: validated.trainingData, epochs: validated.epochs || 10, learningRate: validated.learningRate || 0.01 } ); return { success: true, agentId: validated.agentId, trainingResult: result, timestamp: new Date().toISOString() }; } catch (error) { return { success: false, error: error instanceof Error ? error.message : 'Training failed' }; } } private async assessQuality(params: any): Promise<any> { try { const validated = AssessQualitySchema.parse(params); // Find available curator agent const curatorAgents = this.runtime.getAgentsByType('curator'); const availableAgent = curatorAgents.find(agent => agent.status === 'idle'); if (!availableAgent) { // Spawn a new curator agent if none available const agentId = await this.runtime.spawnAgent('curator', { qualityThreshold: 0.8, autoApprove: false }); const result = await this.runtime.executeFunction(agentId, 'assess_quality', { repositoryUrl: validated.repositoryUrl, applicationData: validated.applicationData, criteria: validated.criteria || { codeQuality: true, documentation: true, security: true, performance: true } }); return { success: true, assessment: result, agentId, timestamp: new Date().toISOString() }; } const result = await this.runtime.executeFunction( availableAgent.id, 'assess_quality', { repositoryUrl: validated.repositoryUrl, applicationData: validated.applicationData, criteria: validated.criteria } ); return { success: true, assessment: result, agentId: availableAgent.id, timestamp: new Date().toISOString() }; } catch (error) { return { success: false, error: error instanceof Error ? error.message : 'Quality assessment failed' }; } } private async analyzePricing(params: any): Promise<any> { try { // Find available pricing agent const pricingAgents = this.runtime.getAgentsByType('pricing'); let agent = pricingAgents.find(a => a.status === 'idle'); if (!agent) { const agentId = await this.runtime.spawnAgent('pricing', { priceElasticity: 0.3, marketCap: 1000000 }); agent = this.runtime.getAgent(agentId); } if (!agent) { throw new Error('Failed to get pricing agent'); } const result = await this.runtime.executeFunction( agent.id, 'analyze_pricing', params ); return { success: true, pricingAnalysis: result, agentId: agent.id, timestamp: new Date().toISOString() }; } catch (error) { return { success: false, error: error instanceof Error ? error.message : 'Pricing analysis failed' }; } } private async securityScan(params: any): Promise<any> { try { // Find available security agent const securityAgents = this.runtime.getAgentsByType('security'); let agent = securityAgents.find(a => a.status === 'idle'); if (!agent) { const agentId = await this.runtime.spawnAgent('security', { scanDepth: params.scanDepth || 'comprehensive', cveDatabase: 'latest' }); agent = this.runtime.getAgent(agentId); } if (!agent) { throw new Error('Failed to get security agent'); } const result = await this.runtime.executeFunction( agent.id, 'scan_repository', params ); return { success: true, securityScan: result, agentId: agent.id, timestamp: new Date().toISOString() }; } catch (error) { return { success: false, error: error instanceof Error ? error.message : 'Security scan failed' }; } } private async generateRecommendations(params: any): Promise<any> { try { // Find available recommendation agent const recommendationAgents = this.runtime.getAgentsByType('recommendation'); let agent = recommendationAgents.find(a => a.status === 'idle'); if (!agent) { const agentId = await this.runtime.spawnAgent('recommendation', { modelType: 'collaborative_filtering', embeddingDim: 128 }); agent = this.runtime.getAgent(agentId); } if (!agent) { throw new Error('Failed to get recommendation agent'); } const result = await this.runtime.executeFunction( agent.id, 'generate_recommendations', { userId: params.userId, category: params.category, limit: params.limit || 10, context: params.context || {} } ); return { success: true, recommendations: result, agentId: agent.id, timestamp: new Date().toISOString() }; } catch (error) { return { success: false, error: error instanceof Error ? error.message : 'Recommendation generation failed' }; } } private async getAgentMetrics(params: any): Promise<any> { try { const metrics = await this.runtime.getMetrics(params.agentId); return { success: true, metrics, timestamp: new Date().toISOString() }; } catch (error) { return { success: false, error: error instanceof Error ? error.message : 'Failed to get metrics' }; } } private async listAgents(params: any): Promise<any> { try { const allAgents = Array.from({ length: this.runtime.totalAgents }, (_, i) => { // This is a simplified version - in reality we'd iterate through actual agents return this.runtime.getAgentsByType('curator')[0]; // Placeholder }); let filteredAgents = allAgents; if (params.status && params.status !== 'all') { filteredAgents = filteredAgents.filter(agent => agent?.status === params.status); } if (params.type) { filteredAgents = filteredAgents.filter(agent => agent?.type === params.type); } const agentList = filteredAgents.map(agent => ({ id: agent?.id, type: agent?.type, status: agent?.status, lastActivity: agent?.lastActivity, performance: agent?.performance })).filter(Boolean); return { success: true, agents: agentList, total: agentList.length, active: this.runtime.activeAgents, timestamp: new Date().toISOString() }; } catch (error) { return { success: false, error: error instanceof Error ? error.message : 'Failed to list agents' }; } } private async terminateAgent(params: any): Promise<any> { try { const agent = this.runtime.getAgent(params.agentId); if (!agent) { throw new Error(`Agent ${params.agentId} not found`); } if (agent.status === 'busy' && !params.force) { throw new Error('Agent is busy. Use force=true to terminate anyway'); } await this.runtime.terminateAgent(params.agentId); return { success: true, agentId: params.agentId, message: 'Agent terminated successfully', timestamp: new Date().toISOString() }; } catch (error) { return { success: false, error: error instanceof Error ? error.message : 'Failed to terminate agent' }; } } }