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

# Basic Agent

> Run a Claude agent through Azure AI Foundry and print its response.

## Code

```python basic.py theme={null}
from agno.agent import Agent, RunOutput  # noqa
from agno.models.azure.claude import Claude

agent = Agent(model=Claude(id="claude-sonnet-4-6"), markdown=True)

# String syntax alternative:
# agent = Agent(model="azure-foundry-claude:claude-sonnet-4-6", 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="Set your environment variables">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export ANTHROPIC_FOUNDRY_API_KEY=xxx
      export ANTHROPIC_FOUNDRY_RESOURCE=xxx
      ```

      ```bash Windows theme={null}
      $Env:ANTHROPIC_FOUNDRY_API_KEY="xxx"
      $Env:ANTHROPIC_FOUNDRY_RESOURCE="xxx"
      ```
    </CodeGroup>
  </Step>

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

  <Step title="Run Agent">
    Save the code above as `basic.py`, then run:

    ```bash theme={null}
    python basic.py
    ```
  </Step>
</Steps>