Agent Sdk Dev

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.