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Building Your First AI Agent in Python with the OpenAI Agents SDK
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Abid Ali Awan

· 2 min read

EngineeringKDnuggets

Building Your First AI Agent in Python with the OpenAI Agents SDK

Building an AI agent in Python is now much simpler than it used to be. With the OpenAI Agents SDK, you can create agents, connect tools, maintain conversation state, and run multi-step workflows without building your own tool-calling loop from scratch.

In this tutorial, we will build a practical research agent that can search the web, call a custom Python function, remember previous messages, and decide when to use each capability.

What Is an AI Agent?

A standard large language model (LLM) application usually follows a simple flow:

Prompt — Model — Response

The model receives a prompt, generates an answer, and stops.

An AI agent adds tools and an execution loop:

User — Agent — Tool if needed — Agent — Final Response

Instead of only generating text, the agent can decide whether it needs to take an action first, such as searching the web, calling a Python function, or retrieving information from memory.

With the OpenAI Agents SDK, the Runner manages this process automatically. It sends the request to the model, executes any requested tools, passes the results back to the agent, and continues until the agent produces a final answer.

This ability to reason, use tools, and continue working across multiple steps is what makes an agent different from a basic LLM application.

Set Up the Project

Before we build the agent, let's create a clean Python environment and install everything we need.

Create a Python project with uv:

mkdir first-ai-agent
cd first-ai-agent

uv init
uv add openai-agents

Or install the package with pip:

pip install openai-agents

Set your OpenAI API key:

export OPENAI_API_KEY="your-api-key"

On Windows, export works in Git Bash. In Command Prompt or PowerShell, you can use:

setx OPENAI_API_KEY "your-api-key"

Now we can turn a few lines of Python into an agent that decides when it needs fresh information from the web.

Create main.py:

Run it:

uv run main.py

Output:

For example, our run correctly identified Python 3.14.7 as the current stable release.

Add Your Own Python Tool

Test it:

Original source

This story was published by KDnuggets and written by Abid Ali Awan. SyncAI.news shows a preview; the complete article is on the publisher's site.

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