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

# Strawberry Letter Counting

> Demonstrates regular, built-in, and DeepSeek-backed reasoning for counting tasks.

```python strawberry.py theme={null}
"""
Strawberry Letter Counting
==========================

Demonstrates regular, built-in, and DeepSeek-backed reasoning for counting tasks.
"""

import asyncio

from agno.agent import Agent
from agno.models.deepseek import DeepSeek
from agno.models.openai import OpenAIChat
from rich.console import Console

# ---------------------------------------------------------------------------
# Create Agents
# ---------------------------------------------------------------------------
console = Console()

task = "How many 'r' are in the word 'strawberry'?"

regular_agent = Agent(model=OpenAIChat(id="gpt-4o"), markdown=True)

cot_agent = Agent(
    model=OpenAIChat(id="gpt-4o"),
    reasoning=True,
    markdown=True,
)

deepseek_agent = Agent(
    model=OpenAIChat(id="gpt-4o"),
    reasoning_model=DeepSeek(id="deepseek-reasoner"),
    markdown=True,
)


async def run_agents() -> None:
    console.rule("[bold blue]Counting 'r' In 'strawberry'[/bold blue]")

    console.rule("[bold green]Regular Agent[/bold green]")
    await regular_agent.aprint_response(task, stream=True)

    console.rule("[bold yellow]Built-in Reasoning Agent[/bold yellow]")
    await cot_agent.aprint_response(task, stream=True, show_full_reasoning=True)

    console.rule("[bold cyan]DeepSeek Reasoning Agent[/bold cyan]")
    await deepseek_agent.aprint_response(task, stream=True)


# ---------------------------------------------------------------------------
# Run Agents
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    asyncio.run(run_agents())
```

## Run the Example

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

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

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

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

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

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

Full source: [cookbook/10\_reasoning/agents/strawberry.py](https://github.com/agno-agi/agno/blob/main/cookbook/10_reasoning/agents/strawberry.py)