AI Automation & Agents  

🧠 How I Turned a Python Function into an AI Agent Tool Using Microsoft Agent Framework

Do you know, you can take a regular Python function — like one that generates a random ID — and turn it into something an AI agent can use. Like, you type “Give me a new ID,” and boom — it runs your code and gives you the result. No magic. Just Python + Microsoft’s Agent Framework.

So, I decided to write this blog to show you how I did it and why it’s awesome. Let’s gooo 🚀

🐍 What’s a Python Function Again?

Okay, quick recap. A Python function is just a block of code that does something. You define it with def, give it a name, and then call it when you need it.

Here’s one I made

def generate_guid():
    import uuid
    return str(uuid.uuid4())

This function creates a random GUID (Globally Unique Identifier). It’s like a super-long ID that no one else has. Pretty useful if you’re building apps or bots.

🤖 What’s an AI Agent?

An AI agent is like a smart assistant that can understand what you say and do stuff for you. It’s not just a chatbot—it can call tools, run code, fetch data, and even talk to other agents.

Microsoft made a framework that lets you build these agents using Python. It’s called the Microsoft Agent Framework, and it’s actually really easy to use and open source.

🔧 What’s a Tool in This Framework?

In this framework, a “tool” is just a Python function that the agent can call. You wrap your function using something called FunctionTool, and then the agent knows how to use it.

So instead of typing generate_guid() in your terminal, you can just say:

“Hey agent, give me a new GUID.”

And it runs your function and gives you the result. That’s the part that blew my mind 🤯

🛠️ How To Do

Step 1: Define the Function

def generate_guid():
    import uuid
    return str(uuid.uuid4())

Step 2: Wrap It as a Tool with Agent

llmClient.create_agent(
        instructions="INSTRUCTIONS",
        name="AGENT_NAME",
        tools=[tools.generate_guid]
    )

This tells the agent: “Hey, here’s a tool you can use. It’s called generate_guid.” Now the agent knows what it’s supposed to do and what tools it has.

Step 3: Talk to the Agent

async for chunk in created_agent.run_stream(user_input):
            if chunk.text:
                print(chunk.text, end="", flush=True)

And boom—it works! The agent reads your message, figures out which tool to call, and runs your function.

🧠 Why This Is So Cool

  • You don’t need a huge AI model to do smart stuff.

  • You can use your own Python code.

  • It’s fast and easy to test.

  • You can build agents that actually do things—not just chat.

🧭 Best Practices I Learned

  • Keep your functions clean and simple.

  • Use type hints so the agent knows what to expect.

  • Add good descriptions to your tools.

  • Test each tool before adding it to the agent.

  • Use threads to simulate conversations.

🎯 Final Thoughts

Isn't it wild?

If you’re into coding, automation, or AI, you should totally try this. Microsoft Agent Framework makes it super easy, and you don’t need to be an expert.

So yeah—turn your Python functions into tools, build smart agents, and have fun doing it.

Thanks for reading!

Membership not found