# OpenAI Agent Builder: How to Use & Top 5 Features

URL: https://technosports.co.in/openai-agent-builder-how-to-use-top-5-features/  
Published: 2025-10-08  
Updated: 2025-10-08  
Author: Hardik Dhamija

[OpenAI](https://openai.com/) launched AgentKit at Dev Day 2025, featuring Agent Builder—a complete toolkit designed to help developers take [AI](https://technosports.co.in/?s=AI)agents from prototype to production with significantly less friction. Agent Builder provides a visual canvas for composing logic with drag-and-drop nodes, connecting tools, and configuring custom guardrails.

## **Table of Contents**

![Openai agent builder 1](https://technosports.co.in/wp-content/uploads/2025/10/OpenAI-Agent-Builder-1-1-1024x576.webp)
*OpenAI*

## **AgentKit Components Overview**

| **Component** | **Function** |
| --- | --- |
| **Agent Builder** | Visual drag-and-drop workflow editor |
| **ChatKit** | Embeddable chat interfaces |
| **Evals for Agents** | Performance measurement tools |
| **Connector Registry** | Secure tool integrations |
| **Templates** | Pre-built agents (customer service, Q&A, data enrichment) |

## **Top 5 Features**

**1. Visual Drag-and-Drop Interface** Agent Builder is a visual workflow editor that lets you drag and drop components, connect them in a line, and string together MCP, ChatKit widgets, and other tools. The dark-themed interface features a column of options on the left including file search, logic operations, and more.

**2. Pre-Built Templates** The feature introduces a drag-and-drop canvas that allows users to create agent flows from predefined templates, such as customer service bots, data enrichment routines, Q&A agents, and document comparison tools.

**3. Preview Runs & Inline Evaluation** Agent Builder supports preview runs, inline eval configuration, and full versioning—ideal for fast iteration. This enables developers to test and refine agents before deployment.

![Openai agent builder 2](https://technosports.co.in/wp-content/uploads/2025/10/OpenAI-Agent-Builder-2-2-1024x575.webp)
*OpenAI*

**4. Custom Guardrails Configuration** Build safer AI agents with configurable guardrails that control agent behavior and ensure compliance with organizational policies and safety standards.

**5. Full Integration with ChatKit & SDK** With Agent Builder, you can drag and drop nodes, connect tools, and publish your agentic workflows with ChatKit and the Agents SDK.

## **How to Use Agent Builder**

**Step 1: Access Agent Builder** Open the visual Agent Builder tool (currently in beta) from the OpenAI platform.

**Step 2: Define Agent Goals** Use the drag-and-drop interface to define agent goals, logic, and workflows. Start with a template or build from scratch.

**Step 3: Configure Agent Logic** Set up specific tasks for your agent—like answering queries, making bookings, or fetching data.

**Step 4: Connect Tools & Services** Use the Connector Registry to integrate external tools and APIs securely into your agent workflow.

**Step 5: Test & Deploy** Run preview tests, configure inline evaluations, and deploy your agent across products using ChatKit embeds or the Agents SDK.

![Openai agent builder 3](https://technosports.co.in/wp-content/uploads/2025/10/OpenAI-Agent-Builder-3-1.webp)
*OpenAI*

## **Why It Matters**

AgentKit eliminates the complexity of building AI agents from scratch. Instead of manually coding workflows or duct-taping together multiple tools, developers can visually design, test, and deploy production-ready agents in hours rather than weeks.

## **FAQs**

### **What is OpenAI Agent Builder?**

Agent Builder is a visual drag-and-drop tool for creating AI agent workflows without extensive coding.

### **What are the main components of AgentKit?**

AgentKit includes Agent Builder, ChatKit, Evals for Agents, and Connector Registry for complete agent development.