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

# Basic

## Code

```python cookbook/11_models/ollama/basic.py theme={null}
from agno.agent import Agent, RunOutput  # noqa
from agno.models.ollama import Ollama

agent = Agent(model=Ollama(id="llama3.1:8b"), 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

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

  <Step title="Install Ollama">
    Follow the [Ollama installation guide](https://github.com/ollama/ollama?tab=readme-ov-file#macos) and run:

    ```bash theme={null}
    ollama pull llama3.1:8b
    ```
  </Step>

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U ollama agno
    ```
  </Step>

  <Step title="Run Agent">
    ```bash theme={null}
    python cookbook/11_models/ollama/basic.py
    ```
  </Step>
</Steps>

## Cloud Alternative

For easier setup without local installation, you can use [Ollama Cloud](/models/providers/local/ollama/usage/cloud) with your API key:

```python theme={null}
from agno.agent import Agent
from agno.models.ollama import Ollama

# No local setup required - just set OLLAMA_API_KEY
agent = Agent(model=Ollama(id="gpt-oss:120b-cloud", host="https://ollama.com"))
agent.print_response("Share a 2 sentence horror story")
```