Agent SDK Development Utilities

Overview

Comprehensive toolkit for agent SDK development, providing utilities for creating, testing, debugging, and managing AI agents across multiple platforms and frameworks.

Features

Agent Creation & Management

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
  }
};

Development Tools

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');
  });
});

Debugging & Monitoring

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}%
`);

Tool Development

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;

Memory Management

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'
  }
});

Deployment & Distribution

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
  }
});

Configuration

Environment Setup

# 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"

SDK Configuration

// .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
  }
};

Best Practices

Agent Design

• Clear Purpose: Define specific, focused capabilities
• Tool Selection: Choose tools that enhance agent capabilities
• Error Handling: Implement graceful failure modes
• Memory Strategy: Select appropriate memory type for use case

Performance Optimization

• Caching: Cache frequently used responses
• Batching: Batch multiple operations when possible
• Async Operations: Use non-blocking operations
• Resource Management: Monitor and limit resource usage

Security Considerations

• Input Validation: Validate all user inputs
• Permission Scoping: Limit agent permissions to minimum required
• Secrets Management: Securely store API keys and secrets
• Audit Logging: Log all agent actions for compliance

Examples

Customer Service Agent

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'
  }
});

Code Assistant Agent

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
  }
});

Troubleshooting

Common Issues

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

API Reference

Core Classes

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();

Utilities

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();

Integration

Framework Support

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 */ }
});

Platform Integration

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
}));

Contributing

1. Fork the repository
2. Create feature branch
3. Add tests for new functionality
4. Ensure all tests pass
5. Submit pull request

License

MIT License - see LICENSE file for details.