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agent-sdk-dev
Agent SDK development utilities for creating, testing, and managing AI agents with comprehensive tooling and debugging capabilities.
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Agent SDK development utilities for creating, testing, and managing AI agents with comprehensive tooling and debugging capabilities.
Automated code review assistance with AI-powered analysis, security scanning, performance analysis, and best practices enforcement.
Comprehensive feature development workflow management with branching strategies, code reviews, testing automation, and deployment coordination.
Frontend design system utilities with component libraries, theme management, responsive design tools, and accessibility features.
Hook creation and management system for React, Vue, and other frameworks with automated hook generation, testing, and documentation.
Comprehensive plugin development toolkit for creating, testing, and managing plugins across multiple platforms with scaffolding, validation, and deployment utilities.
Comprehensive security best practices, vulnerability scanning, and security guidance for development workflows with automated security checks and compliance monitoring.
| name | agent-sdk-dev |
| description | Agent SDK development utilities for creating, testing, and managing AI agents with comprehensive tooling and debugging capabilities. |
| license | MIT |
Comprehensive toolkit for agent SDK development, providing utilities for creating, testing, debugging, and managing AI agents across multiple platforms and frameworks.
Agent Initialization
# Create new agent project
agent-sdk init my-agent --template=conversational
# Initialize with specific framework
agent-sdk init my-agent --framework=langchain --model=gpt-4
Agent Configuration
// agent.config.js
module.exports = {
name: "MyAgent",
model: "gpt-4",
temperature: 0.7,
tools: ["file-operations", "web-search", "code-execution"],
permissions: {
fileSystem: true,
networkAccess: true,
codeExecution: "sandboxed"
},
memory: {
type: "conversation-buffer",
maxTokens: 4000
}
};
Hot Reload Development Server
agent-sdk dev --port=3000 --watch
Agent Testing Framework
// tests/agent.test.js
const { AgentTester } = require('@agent-sdk/testing');
describe('MyAgent', () => {
let tester;
beforeEach(() => {
tester = new AgentTester('./agent.config.js');
});
test('should respond to greeting', async () => {
const response = await tester.send('Hello!');
expect(response.text).toMatch(/hello|hi|hey/i);
});
test('should use tools correctly', async () => {
const response = await tester.send('Read the file README.md');
expect(response.toolsUsed).toContain('file-read');
});
});
Agent Debugger
# Start debugging session
agent-sdk debug --breakpoints --verbose
# Monitor agent performance
agent-sdk monitor --metrics=latency,tokens,cost
Performance Analytics
// Get agent performance metrics
const analytics = await agent.getAnalytics();
console.log(`
Average Response Time: ${analytics.avgLatency}ms
Tokens Used: ${analytics.totalTokens}
Cost: $${analytics.totalCost}
Success Rate: ${analytics.successRate}%
`);
Custom Tool Creation
// tools/weather-tool.js
const { Tool } = require('@agent-sdk/core');
class WeatherTool extends Tool {
constructor() {
super({
name: 'weather',
description: 'Get current weather for a location',
parameters: {
location: {
type: 'string',
required: true,
description: 'City name or ZIP code'
}
}
});
}
async execute({ location }) {
// Implementation here
const weather = await this.fetchWeather(location);
return {
temperature: weather.temp,
conditions: weather.conditions,
humidity: weather.humidity
};
}
}
module.exports = WeatherTool;
Conversation Memory
// Configure different memory types
const agent = new Agent({
memory: {
type: 'conversation-buffer',
maxTokens: 4000,
summaryThreshold: 3000
}
});
// Or use vector memory for semantic search
const agent = new Agent({
memory: {
type: 'vector-store',
embeddingModel: 'text-embedding-ada-002',
vectorDatabase: 'pinecone'
}
});
Build for Production
# Build optimized agent bundle
agent-sdk build --target=production --minify
# Package for distribution
agent-sdk package --format=docker --registry=npm
Deployment Options
// Deploy to different platforms
await agent.deploy({
platform: 'vercel', // or 'aws-lambda', 'docker', 'edge'
environment: 'production',
scaling: {
minInstances: 1,
maxInstances: 10,
targetCpuUtilization: 70
}
});
# Required environment variables
export OPENAI_API_KEY="your-openai-key"
export ANTHROPIC_API_KEY="your-anthropic-key"
export AGENT_LOG_LEVEL="debug"
export AGENT_CACHE_DIR="./.agent-cache"
// .agent-sdk/config.js
module.exports = {
defaultModel: 'gpt-4',
defaultTemperature: 0.7,
cache: {
enabled: true,
ttl: 3600, // 1 hour
maxSize: '100MB'
},
logging: {
level: 'info',
format: 'json',
outputs: ['console', 'file']
},
testing: {
timeout: 30000,
retries: 3,
mockExternalCalls: true
}
};
const { Agent } = require('@agent-sdk/core');
const customerServiceAgent = new Agent({
name: 'CustomerService',
description: 'Handles customer inquiries and support requests',
tools: ['knowledge-base', 'order-lookup', 'ticket-creation'],
instructions: `
You are a helpful customer service agent.
Always be polite and professional.
Use the knowledge base for product information.
Create tickets for issues that need escalation.
`,
personality: {
tone: 'friendly',
empathy: 'high',
efficiency: 'balanced'
}
});
const codeAssistant = new Agent({
name: 'CodeAssistant',
description: 'Helps with coding tasks and code review',
tools: ['file-operations', 'code-execution', 'web-search'],
instructions: `
You are an expert software developer.
Provide clear, well-commented code solutions.
Explain your reasoning and approach.
Suggest improvements and best practices.
`,
capabilities: {
languages: ['javascript', 'python', 'java', 'go'],
frameworks: ['react', 'express', 'django', 'spring'],
codeReview: true,
debugging: true
}
});
Agent Not Responding
# Check agent status
agent-sdk status --verbose
# Restart agent service
agent-sdk restart --force
High Latency
// Enable performance monitoring
agent.enablePerformanceMonitoring({
alertThreshold: 5000, // 5 seconds
logSlowQueries: true
});
Memory Issues
# Clear agent cache
agent-sdk cache clear --all
# Optimize memory usage
agent-sdk optimize --memory
Agent
const agent = new Agent(config);
await agent.initialize();
const response = await agent.process(input);
Tool
class CustomTool extends Tool {
constructor(config) { super(config); }
async execute(params) { /* implementation */ }
}
Memory
const memory = new ConversationMemory(config);
await memory.add(message);
const context = await memory.getContext();
Testing
const { AgentTester } = require('@agent-sdk/testing');
const tester = new AgentTester(agentConfig);
Monitoring
const { AgentMonitor } = require('@agent-sdk/monitoring');
const monitor = new AgentMonitor(agent);
Deployment
const { AgentDeployer } = require('@agent-sdk/deployment');
const deployer = new AgentDeployer();
LangChain Integration
const { LangChainAgent } = require('@agent-sdk/integrations');
const agent = new LangChainAgent({
langchainConfig: { /* langchain specific config */ }
});
LlamaIndex Integration
const { LlamaIndexAgent } = require('@agent-sdk/integrations');
const agent = new LlamaIndexAgent({
indexConfig: { /* llamaindex specific config */ }
});
Slack Bot
const { SlackIntegration } = require('@agent-sdk/platforms');
agent.addIntegration(new SlackIntegration({
botToken: process.env.SLACK_BOT_TOKEN
}));
Discord Bot
const { DiscordIntegration } = require('@agent-sdk/platforms');
agent.addIntegration(new DiscordIntegration({
token: process.env.DISCORD_BOT_TOKEN
}));
MIT License - see LICENSE file for details.