Agent Development Guide

Learn how to build powerful AI Agents with ZGI.

What is an Agent?

An Agent is an autonomous AI entity that can:

• Understand and execute tasks
• Call tools and APIs
• Maintain conversation context
• Make intelligent decisions

Agent Features

Core Capabilities:

• Autonomous Execution - Agents can independently execute tasks without continuous human intervention
• Multi-Tool Integration - Seamlessly integrate with multiple tools and APIs for extended functionality
• Context Management - Maintain full conversation history and context across multiple interactions
• Intelligent Decision Making - Make decisions based on task requirements and available information
• Error Handling - Automatic error recovery and retry mechanisms for failed operations
• State Persistence - Save and restore agent state for long-running operations

Advanced Features:

• Memory Management - Short-term and long-term memory for learning from interactions
• Parallel Execution - Execute multiple tasks concurrently for improved performance
• Custom Behaviors - Define custom behaviors and workflows specific to your use case
• Real-time Monitoring - Monitor agent execution in real-time with detailed logging
• Rate Limiting - Built-in rate limiting to prevent API abuse
• Timeout Management - Configurable timeouts for task execution

Creating an Agent

import { Agent } from '@zgi/core';

const agent = new Agent({
  name: 'my-agent',
  model: 'gpt-4',
  systemPrompt: 'You are a professional assistant',
  temperature: 0.7,
  maxTokens: 2000
});

Agent Configuration Features

Model Configuration:

• Model Selection - Choose from 1000+ available models via the Multi-Model Gateway
• Temperature Control - Adjust creativity vs. determinism (0.0-2.0 range)
• Token Limits - Set maximum token limits for cost control and performance optimization
• System Prompts - Define agent behavior through detailed system instructions

Performance Tuning:

• Retry Policies - Configure automatic retry logic with exponential backoff
• Timeout Settings - Set execution timeouts for individual tasks
• Batch Processing - Process multiple tasks efficiently in batches
• Resource Allocation - Control memory and CPU allocation per agent

Security & Compliance:

• API Key Management - Secure storage and rotation of API credentials
• Rate Limiting - Per-agent rate limiting to prevent abuse
• Audit Logging - Complete audit trail of all agent actions
• Data Encryption - End-to-end encryption for sensitive data

Adding Tools

agent.registerTool({
  name: 'search',
  description: 'Search the internet',
  parameters: {
    query: { type: 'string', required: true }
  },
  handler: async (params) => {
    return searchResults;
  }
});

Tool Integration Features

Tool Registration:

• Dynamic Registration - Register tools at runtime or during initialization
• Parameter Validation - Automatic validation of tool parameters with type checking
• Schema Definition - Define tool schemas using JSON Schema for clarity
• Documentation - Auto-generate documentation from tool definitions

Tool Capabilities:

• Async Operations - Full support for asynchronous tool execution
• Error Handling - Graceful error handling with detailed error messages
• Caching - Optional result caching to improve performance
• Versioning - Support multiple versions of the same tool

Pre-built Tools:

• Web Search - Search the internet for information
• Data Retrieval - Query databases and APIs
• File Operations - Read, write, and process files
• Email Integration - Send and receive emails
• Calendar Management - Schedule and manage events
• Code Execution - Execute code snippets safely

Custom Tool Development:

• SDK Support - Comprehensive SDK for building custom tools
• Testing Framework - Built-in testing utilities for tool validation
• Debugging Tools - Debug tools during development
• Performance Monitoring - Track tool performance metrics

Executing Tasks

const result = await agent.execute({
  task: 'Find the latest AI news'
});

console.log(result.output);

Task Execution Features

Execution Control:

• Synchronous Execution - Wait for task completion and get results
• Asynchronous Execution - Non-blocking execution with callbacks
• Streaming Results - Stream results as they become available
• Cancellation - Cancel running tasks at any time

Task Management:

• Priority Queuing - Prioritize tasks based on importance
• Scheduling - Schedule tasks for future execution
• Recurring Tasks - Set up recurring task execution
• Dependency Management - Define task dependencies and execution order

Result Processing:

• Structured Output - Get results in structured formats (JSON, etc.)
• Error Details - Comprehensive error information and stack traces
• Execution Metrics - Track execution time, token usage, and costs
• Result Caching - Cache results for repeated queries

Monitoring & Debugging:

• Real-time Logs - Stream execution logs in real-time
• Step-by-step Execution - Debug mode for step-by-step execution
• Variable Inspection - Inspect agent variables during execution
• Performance Analytics - Detailed performance metrics and bottleneck analysis

Advanced Execution:

• Conditional Logic - Execute tasks based on conditions
• Branching - Branch execution based on intermediate results
• Parallel Tasks - Execute multiple tasks in parallel
• Timeout Handling - Graceful handling of task timeouts

Next Steps

• Tool Development
• Agent Orchestration