On-screen text
New workflow
Draft
Core
Agent
End
Note
Tools
File search
Guardrails
MCP
Logic
If / else
While
User approval
Data
Transform
Set state
Simple workflow to research stuff on
web search and provide summary.
Example input: "Analyze Tesla"
Start
Loop while a condition is true
Did OpenAI Just End N8N?!
did openai just
kill n8n and make?
October 12, 2023
Introducing AgentKit
New tools for building, deploying, and optimizing agents.
Listen to article
5:23
Today we're launching AgentKit, a complete set of tools
for developers and enterprises to build, deploy, and
optimize multi-step AI agents. This includes a suite of
fragmented tools - simple, production-ready, versioning,
custom connectors, remote execution, prompt tuning, and
weeks of frontier models. With AgentKit, developers can now design workflows
visually and embed scientific, LLM-faster models like:
Ask ChatGPT
OpenAI
Research
Safety
For Business
For Developers
ChatGPT
Store
News
Introducing AgentKit
New tools for building, deploying, and optimizing agents.
We're also expanding evaluation capabilities with new
features like controls, more grading, assisted prompt
optimization, and fine-tuning controls to support its precision
and improve agent performance.
Since releasing the Response API and Agents SDK in
December, we've seen incredible innovation in how developers
build end-to-end workflows for deep research, customer
support, and more. These have built a "pro-agent" that
can be used in a "chat agent" workflow. AgentKit builds on the Response
API and Agents SDK to provide a more cohesive, flexible,
and widely
Design workflows with
Agent Builder
In agent workflows grow more complex, developers said
need a visual canvas to build workflows. They can drag
and drop nodes to connect agents, tools, and control-flow logic.
When you're ready to deploy, embed the workflow into your site with ChatGPT, or
download the SDK code to run it yourself.
inside of chatgpt.
but what does
mean for n8n and
make users?
Apify
Run AI Agents
API
Lead Generation
API
It seems like
agentkit is just
another drag-and-drop,
no code agent builder.
It uses nodes,
logic and guardrails.
However, you can use widgets
inside your agent
response, which is a
useful feature.
but if you're
n8n or another
automation platform,
I wouldn't be cancelling my
subscriptions
just yet.
Structured output (JSON)
This model will generate a JSON object that matches this schema.
Name
response_schema
Properties
Name
Type
Description
classification
STR
Add description
+ Add
Generate
agentkit is still
in beta, so I'd definitely
be keeping an
add new features.
platform.openai.com/docs/overview
Personal
Default project
javascript
import OpenAI from "openai";
const client = new OpenAI();
async function main() {
const response = await client.chat.completions.create({
model: "gpt-5",
input: "Write a short bedtime story about a unicorn.",
});
console.log(response.choices[0].message.content);
}
main();
Build with AgentKit
Design and version workflows with
agent builder or use the SDK
for code-level control.
+ More
Browse Models
platform.openai.com/docs/guides/agent-builder
Agent Builder
Build a chat agent workflow with custom logic and tools
+ Create
AI Assistant
AI Assistant
AI Assistant
Customer Service
AI Assistant
AI Assistant
AI Assistant
Structured Data Q&A
Document companion
Internal knowledge resort
Templates
Or you can create
your own agent.
click on this.
Open Agent Builder
There are three main steps in building agents:
1. Design a workflow in Agent Builder. This is where you
work.
2. Publish your workflow. It's an object with a unique ID
you can deploy when you're ready.
3. Deploy your workflow. Pass the ID into your site or
download the Agents SDK code to run it yourself.