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

# 非推理模型代理

此示例演示了将非推理模型作为推理模型传递时的工作方式。
它默认使用 OpenAI 的默认推理模型。
我们建议使用适当的推理模型，或者传递 `reasoning=True` 来使用默认的思维链推理。

## 代码

```python cookbook/reasoning/agents/default_chain_of_thought.py theme={null}
from agno.agent import Agent
from agno.models.openai import OpenAIChat

reasoning_agent = Agent(
    model=OpenAIChat(id="gpt-4o"),
    reasoning_model=OpenAIChat(
        id="gpt-4o", max_tokens=1200
    ),  # 应默认为手动 COT，因为它不是原生推理模型
    markdown=True,
)
reasoning_agent.print_response(
    "Give me steps to write a python script for fibonacci series",
    stream=True,
    show_full_reasoning=True,
)


# 它使用 Agent 的默认模型
reasoning_agent = Agent(
    model=OpenAIChat(id="gpt-4o", max_tokens=1200),
    reasoning=True,
    markdown=True,
)
reasoning_agent.print_response(
    "Give me steps to write a python script for fibonacci series",
    stream=True,
    show_full_reasoning=True,
)


```

## 用法

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

  <Step title="设置您的 API 密钥">
    ```bash theme={null}
    export OPENAI_API_KEY=xxx
    ```
  </Step>

  <Step title="安装库">
    ```bash theme={null}
    pip install -U openai agno
    ```
  </Step>

  <Step title="运行示例">
    <CodeGroup>
      ```bash Mac theme={null}
      python cookbook/reasoning/agents/default_chain_of_thought.py
      ```

      ```bash Windows theme={null}
      python cookbook/reasoning/agents/default_chain_of_thought.py
      ```
    </CodeGroup>
  </Step>
</Steps>