> ## 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.

# Basic Agent

> Run a WatsonX agent and print its response.

## Code

```python basic.py theme={null}
from agno.agent import Agent, RunOutput
from agno.models.ibm import WatsonX

agent = Agent(
    model=WatsonX(id="mistralai/mistral-small-3-1-24b-instruct-2503"), markdown=True
)

# Get the response in a variable
# run: RunOutput = agent.run("Share a 2 sentence horror story")
# print(run.content)

# Print the response in the terminal
agent.print_response("Share a 2 sentence horror story")
```

## Usage

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

**1. Set your API key**

```bash theme={null}
export IBM_WATSONX_API_KEY=xxx
export IBM_WATSONX_PROJECT_ID=xxx
```

**2. Install dependencies**

```bash theme={null}
uv pip install -U ibm-watsonx-ai agno
```

**3. Run Agent**

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

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

Setting `markdown=True` formats the agent's response as markdown.


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