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This example demonstrates how to enable debug mode for agents to get more verbose output and detailed information about agent execution.

Code

debug.py
from agno.agent import Agent
from agno.models.openai import OpenAIChat

# You can set the debug mode on the agent for all runs to have more verbose output
agent = Agent(
    model=OpenAIChat(id="gpt-5-mini"),
    debug_mode=True,
)

agent.print_response(input="Tell me a joke.")


# You can also set the debug mode on a single run
agent = Agent(
    model=OpenAIChat(id="gpt-5-mini"),
)
agent.print_response(input="Tell me a joke.", debug_mode=True)

Usage

1

Create a virtual environment

Open the Terminal and create a python virtual environment.
python3 -m venv .venv
source .venv/bin/activate
2

Install libraries

pip install -U agno openai
3

Export your OpenAI API key

  export OPENAI_API_KEY="your_openai_api_key_here"
4

Create a Python file

Create a Python file and add the above code.
touch debug.py
5

Run Agent

python debug.py
6

Find All Cookbooks

Explore all the available cookbooks in the Agno repository. Click the link below to view the code on GitHub:Agno Cookbooks on GitHub
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