> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2-codex-docs-audit-20260719-0149.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Example showing a reasoning Agent in the AgentOS

> Stream a Claude thinking-model chain of thought live from an AgentOS reasoning agent.

You can interact with the Agent as normally. It will reason before providing a final answer. You will see its chain of thought live as it is generated.

```python reasoning_model.py theme={null}
"""
Example showing a reasoning Agent in the AgentOS.

You can interact with the Agent as normally. It will reason before providing a final answer.
You will see its chain of thought live as it is generated.
"""

from agno.agent import Agent
from agno.models.anthropic import Claude
from agno.os import AgentOS
from agno.run.agent import RunEvent  # noqa

# ---------------------------------------------------------------------------
# Create Example
# ---------------------------------------------------------------------------

# Create an agent with reasoning enabled
agent = Agent(
    reasoning_model=Claude(
        id="claude-sonnet-4-5",
        thinking={"type": "enabled", "budget_tokens": 1024},
    ),
    reasoning=True,
    instructions="Think step by step about the problem.",
)

# Setup our AgentOS app
agent_os = AgentOS(
    description="Reasoning model streaming",
    agents=[agent],
)
app = agent_os.get_app()


# ---------------------------------------------------------------------------
# Run Example
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    """Run your AgentOS.

    You can see the configuration and available apps at:
    http://localhost:7777/config

    """
    agent_os.serve(app="reasoning_model:app", reload=True)
```

## Run the Example

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

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

  <Step title="Export your API keys">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export ANTHROPIC_API_KEY="your_anthropic_api_key_here"
      export OPENAI_API_KEY="your_openai_api_key_here"
      ```

      ```bash Windows theme={null}
      $Env:ANTHROPIC_API_KEY="your_anthropic_api_key_here"
      $Env:OPENAI_API_KEY="your_openai_api_key_here"
      ```
    </CodeGroup>
  </Step>

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

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

Full source: [cookbook/05\_agent\_os/advanced\_demo/reasoning\_model.py](https://github.com/agno-agi/agno/blob/v2.7.4/cookbook/05_agent_os/advanced_demo/reasoning_model.py)