> ## 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 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

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

**1. Set your environment variables**

```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"
```

**2. Install dependencies**

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

**3. Run Agent**

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

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


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