> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Debug

> Enable verbose debug output for every run with debug_mode, or turn it on for a single run.

```python debug.py theme={null}
"""
Debug
=============================

Debug.
"""

from agno.agent import Agent
from agno.models.openai import OpenAIResponses

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

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    agent.print_response(input="Tell me a joke.")

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

## Run the Example

<Snippet file="create-venv-step.mdx" />

**1. Install dependencies**

```bash theme={null}
uv pip install -U agno openai
```

**2. Export your OpenAI API key**

```bash Mac/Linux theme={null}
export OPENAI_API_KEY="your_openai_api_key_here"
```

```bash Windows theme={null}
$Env:OPENAI_API_KEY="your_openai_api_key_here"
```

**3. Run the example**

Save the code above as `debug.py`, then run:

```bash theme={null}
python debug.py
```

Full source: [cookbook/02\_agents/14\_advanced/debug.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/02_agents/14_advanced/debug.py)


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