nodejs-swarm-openai

nodejs-swarm-openai is an experimental Node.js SDK for orchestrating multi-agent conversations using OpenAI's models (GPT-4o, GPT-4, GPT-3.5). This library is a custom test implementation built from scratch, featuring support for finalizer agents, async tools, and improved error handling. It is intended for learning, prototyping, and exploring the principles behind Swarm-like coordination.

✅ NPM

- 📦 View on npm

---

✅ Features

- ✨ Orchestrates multiple agents (chatbots) with distinct roles and instructions.
- 🔁 Automatic tool call handling via OpenAI function calling.
- 🧠 Optional finalizer agent to generate a unified final message.
- 🔧 Supports async tool functions (e.g., DB queries).
- 🐛 Safe internal error handling (errors never leak to user).
- 🧪 Built-in debug mode for developer insight.
- 🌐 Proxy support.

---

🔧 Installation

``bash
npm install nodejs-swarm-openai
`

📦 Usage

`js
import { Agent, Swarm, printMessagesPretty, getFinalAnswer } from 'nodejs-swarm-openai';

const needsAnalyst = new Agent({
name: 'needs_analyst',
description: 'Understands customer needs',
instructions: 'Identify what matters most to the customer: budget, quality, speed, etc.',
model: 'gpt-4o',
tools: []
});

const positioningAgent = new Agent({
name: 'positioning',
description: 'Describes company strengths',
instructions: 'Mention experience, materials, guarantees, and successful projects.',
model: 'gpt-4o',
tools: []
});

const sellerAgent = new Agent({
name: 'seller',
description: 'Invites to action',
instructions: 'Encourage user to leave a phone number or schedule a call.',
model: 'gpt-4o',
tools: []
});

const routerAgent = new Agent({
name: 'manager',
description: 'Manages tasks and delegates to agents',
instructions:
You are a Swarm manager. Given a customer request, decide which agent to invoke:

- needs_analyst — to analyze customer needs;
- positioning — to describe the company;
- seller — to invite to next step.

Always respond with tool_call only. Never reply directly.,
model: 'gpt-4o'
});

const swarm = new Swarm(process.env.OPENAI_API_KEY, {
proxyUrl: process.env.PROXY_GPT // Optional proxy support
});

(async () => {
const { messages } = await swarm.run({
routerAgent,
agents: [needsAnalyst, positioningAgent, sellerAgent],
finalizerAgent: new Agent({ //Optional
name: 'my_finalizer',
description: 'Custom summary',
instructions: 'Merge replies into 1 final answer. Use polite tone.',
model: 'gpt-4o',
tools: []
}),
messages: [
{ role: 'user', content: 'I want a cheap and high-quality wooden sauna' }
],
maxTurns: 5,
debug: true // Optional
});

printMessagesPretty(messages);
const final = getFinalAnswer(messages);
console.log('\nFinal Answer:\n', final || 'No final message.');
})();
`

✅ Use Cases

- Multi-step sales dialogs
- Lead qualification
- Information extraction and synthesis
- Decision trees based on roles

🛠 Advanced

$3

By default, the library adds a final agent to summarize all assistant replies into one. You can override it:

`js
const swarm = new Swarm(apiKey);
swarm.run({
finalizerAgent: new Agent({
name: 'my_finalizer',
description: 'Custom summary',
instructions: 'Merge replies into 1 final answer. Use polite tone.',
model: 'gpt-4o',
tools: []
}),
...
});
`

$3

`js
const result = await swarm.run({
routerAgent,
agents: [needsAnalyst, positioningAgent, sellerAgent],
finalizerAgent,
messages: [
{ role: 'user', content: 'I want a cheap and high-quality wooden sauna' }
],
maxTurns: 6,
debug: false
});
console.log(result.totalTokens)
`

`js
{
messages:[...]
tokenUsage: {
manager: 1797,
needs_analyst: 262,
positioning: 415,
seller: 579,
finalizer: 595
},
totalTokens: 3648
}
`

$3

Pass a proxy URL using proxyUrl option:

`js
const swarm = new Swarm(apiKey, {
proxyUrl: 'http://127.0.0.1:8080'
});
`

This SDK is part of Neurounit AI — my personal platform that helps businesses leverage artificial intelligence for automated lead generation.
I develop this project in my spare time.

💜 Support

If you'd like to support this project, you can:

- Donate via TRC20: TBJWkKyrQEmG1dr8rd3psDwWY4tEvUFnzw`
- Mention it on social media 🙌
- Star ⭐ the repo to show appreciation