flow-nexus
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🚀 AI-Powered Swarm Intelligence Platform - Gamified MCP Development with 70+ Tools
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text/typescript
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'
};
}
}
}