Building Multi-Agent Systems with Zod

One of Zod’s most powerful features is its ability to orchestrate multiple specialized agents working together. In this guide, we’ll explore how to build robust multi-agent systems that can tackle complex, real-world problems.

The Multi-Agent Pattern

In complex scenarios, a single agent may not have all the expertise needed. Multi-agent systems allow you to:

• Divide and conquer: Split complex tasks among specialized agents
• Parallel processing: Run independent agents simultaneously
• Quality assurance: Have agents review each other’s work
• Specialized knowledge: Give agents domain-specific capabilities

Getting Started

First, install Zod and set up your project:

npm install @zod/core @zod/extensions

Create a new Zod project:

npm create zod@latest my-agent-project
cd my-agent-project

Example: Research Assistant System

Let’s build a research assistant system with three agents:

1. Researcher Agent: Searches and summarizes information
2. Analyst Agent: Analyzes data and generates insights
3. Writer Agent: Compiles findings into a coherent report

Here’s how to implement this:

import { Agent, Orchestrator } from '@zod/core';

const researcher = new Agent({
  name: 'researcher',
  description: 'Searches and summarizes information',
  model: 'gpt-4',
  tools: ['search', 'scrape'],
});

const analyst = new Agent({
  name: 'analyst',
  description: 'Analyzes data and generates insights',
  model: 'gpt-4',
  tools: ['analyze', 'visualize'],
});

const writer = new Agent({
  name: 'writer',
  description: 'Compiles findings into reports',
  model: 'gpt-4',
  tools: ['write', 'format'],
});

const orchestrator = new Orchestrator({
  agents: [researcher, analyst, writer],
  strategy: 'sequential',
});

const result = await orchestrator.run({
  task: 'Research the impact of AI on software development',
});

Orchestration Strategies

Zod supports several orchestration patterns:

Sequential

Agents work one after another, passing results downstream:

const sequential = new Orchestrator({
  agents: [researcher, analyst, writer],
  strategy: 'sequential',
});

Parallel

Multiple agents work simultaneously on independent tasks:

const parallel = new Orchestrator({
  agents: [researcher, analyst, writer],
  strategy: 'parallel',
});

Hierarchical

A coordinator agent delegates tasks to worker agents:

const coordinator = new Agent({
  name: 'coordinator',
  description: 'Delegates tasks to specialists',
  model: 'gpt-4',
});

const hierarchical = new Orchestrator({
  coordinator,
  workers: [researcher, analyst, writer],
  strategy: 'hierarchical',
});

Communication Between Agents

Agents can share context using Zod’s built-in memory system:

const sharedMemory = await orchestrator.getSharedContext();

console.log(sharedMemory.messages);
console.log(sharedMemory.artifacts);

Error Handling

Zod provides robust error handling for multi-agent systems:

try {
  const result = await orchestrator.run({
    task: 'Research and analyze',
    onError: 'retry', // Options: 'retry', 'fallback', 'skip'
    maxRetries: 3,
  });
} catch (error) {
  console.error('Agent failed:', error.message);
  // Handle gracefully with fallback agent
}

Monitoring and Observability

Track agent performance with built-in logging:

const orchestrator = new Orchestrator({
  agents: [researcher, analyst, writer],
  logging: {
    level: 'detailed',
    output: ['console', 'file'],
  },
});

// View metrics
const metrics = await orchestrator.getMetrics();
console.log(metrics.totalTokens);
console.log(metrics.executionTime);
console.log(metrics.successRate);

Best Practices

Here are some tips for building effective multi-agent systems:

Conclusion

Multi-agent systems unlock complex workflows that would be impossible for a single agent. By combining specialized agents with intelligent orchestration, you can build systems that:

• Handle complex, multi-step tasks
• Provide better quality through review loops
• Scale to handle diverse requirements
• Remain maintainable and extensible

Start experimenting with multiple agents today and unlock new possibilities for your AI applications!