> For the complete documentation index, see [llms.txt](https://ruilabs.gitbook.io/airgent/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ruilabs.gitbook.io/airgent/agent/using-chatgpt-node-in-your-agent.md).

# Using ChatGPT node in your agent

## **Prerequisites**

Before you begin, ensure you have:

1. An **API Key** from the [OpenAI platform](https://platform.openai.com/docs/quickstart).
   * You can follow OpenAI's official guide to get your API key

***

## **Step-by-Step Guide**

The final agent is setup as below:

<figure><img src="/files/RfPDZh3UsGJ1SwhRi5N9" alt=""><figcaption><p>Agent integrated with ChatGPT node</p></figcaption></figure>

{% stepper %}
{% step %}
**Add the ChatGPT Node**

1. From the **Node Library** on the left panel, expand the **Llm** section.
2. Drag the **ChatOpenAI** node onto your workspace.
   {% endstep %}

{% step %}
**Configure the ChatGPT Node**

1. **API Key**:
   * Paste your OpenAI API key into the `apiKey` field of the node.
   * This key authenticates your requests to OpenAI’s servers.
2. **Model Name**:
   * The default model is `gpt-4` (or `gpt-3.5-turbo` if you prefer).
   * Specify the model in the `modelName` field.
3. **Temperature** (Optional):
   * This controls the randomness of the AI’s responses.
   * A value of `0` gives deterministic responses, while higher values introduce more variability.
4. **Schema**:
   * For our example, the schema can be ignored since we’re working with a simple string input.
5. **Error Handling**:
   * We’re skipping error handling for now, but this can be added later to manage API errors.
     {% endstep %}

{% step %}
**Connect the Nodes**

1. **Execution Flow (Exec)**:
   * Connect the `exec` port of the **Input Node** to the `exec` port of the **ChatOpenAI** node.
   * Then, connect the `exec` port of the **ChatOpenAI** node to the `exec` port of the **Output Node**.
2. **Message Flow**:
   * Connect the `message` port of the **Input Node** to the `message` port of the **ChatOpenAI** node.
   * Finally, connect the `response` port of the **ChatOpenAI** node to the `message` port of the **Output Node**.
     {% endstep %}

{% step %}
**Test Your Agent**

1. Use the **Message Box** at the bottom-right to send a message (e.g., “Hi”).
2. Observe the response:
   * Your input message is processed by the **ChatGPT Node** and returned through the **Output Node**.
   * For example, if you type “Hi,” you might receive “Hello! How can I assist you today?”
     {% endstep %}
     {% endstepper %}

***

## **What’s Next?**

By integrating the ChatGPT Node, your agent can now handle conversational input and provide intelligent, context-aware responses. Let’s move forward to building more advanced workflows!


---

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