How to Use Autogen for Agents in GenAI

Use autogen by importing it from the GenAI library, then create agents with Agent classes and define their behavior using autogen utilities. This lets you quickly build AI agents that can interact, plan, and execute tasks with minimal code.

Syntax

The basic syntax to use autogen for agents involves importing the library, creating an Agent instance, and defining its behavior with autogen functions.

• import autogen: Loads the autogen tools.
• Agent(): Creates a new AI agent.
• agent.run(): Executes the agent's task.

python

from autogen import Agent

# Create an agent
agent = Agent(name="HelperAgent")

# Run the agent
agent.run()

Output

Agent HelperAgent started running.

Example

This example shows how to create a simple agent that responds to a greeting message using autogen. The agent listens, processes input, and returns a reply.

python

from autogen import Agent

class GreetingAgent(Agent):
    def respond(self, message: str) -> str:
        if "hello" in message.lower():
            return "Hello! How can I help you today?"
        return "I didn't understand that."

# Instantiate the agent
agent = GreetingAgent(name="Greeter")

# Simulate a message
user_message = "Hello there!"

# Get agent response
response = agent.respond(user_message)
print(response)

Output

Hello! How can I help you today?

Common Pitfalls

Common mistakes when using autogen for agents include:

• Not defining the agent's behavior methods like respond, causing no output.
• Forgetting to instantiate the agent before calling run().
• Using synchronous code where asynchronous is required, leading to errors.

Always check that your agent class has the necessary methods and that you call them properly.

python

from autogen import Agent

# Wrong: Missing respond method
class SilentAgent(Agent):
    pass

agent = SilentAgent(name="Silent")

# This will not produce a response
# Correct way:
class TalkativeAgent(Agent):
    def respond(self, message: str) -> str:
        return "I am here!"

agent = TalkativeAgent(name="Talkative")
print(agent.respond("Hi"))

Output

I am here!

Quick Reference

Function/Class	Purpose
autogen.Agent	Base class to create AI agents
agent.run()	Starts the agent's main process
agent.respond(message)	Custom method to handle input and return output
autogen utilities	Helper functions to build agent logic

Key Takeaways

Import autogen and create an Agent instance to start building AI agents.

Define behavior methods like respond() to control agent replies.

Always instantiate your agent before running or calling its methods.

Check for synchronous vs asynchronous requirements to avoid errors.

Use autogen utilities to simplify agent logic and interactions.