> For the complete documentation index, see [llms.txt](https://docs.zaia.app/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.zaia.app/workflows/workflow-nodes/llm-node.md).

# LLM Node

The **LLM (Large Language Model) node** allows you to run prompts directly inside your Workflow using one of the available AI models.\
This makes it possible to **generate text, transform data, analyze inputs, or create structured outputs** automatically.

***

### 🛠️ How It Works

1. You **select a provider** (e.g., Zaia).
2. You **choose a model** (e.g., Claude, GPT, etc.).
3. You define the **output type** → text or JSON.
4. You set the **temperature** → controls balance between **precision** (deterministic answers) and **creativity** (diverse answers).
5. You write a **prompt** that the LLM will execute.

The result can then be passed to other nodes in the Workflow.

***

### ⚙️ Configuration Options

* **Provider** → The service powering the LLM (e.g., Zaia).
* **Model** → Which model to use (e.g., `claude-sonnet-4.5`).
* **Output type** →
  * **Text**: free-form answer.
  * **JSON**: structured response (ideal for automation).
* **Temperature** →
  * Low = deterministic (e.g., 0.1 → precise answers).
  * High = creative (e.g., 0.8 → more variation).
* **Prompt** → The instruction/query you want the LLM to process.

***

### 📌 Example Use Cases

* **Summarization**: Input long text, output a short summary.
* **Data transformation**: Convert unstructured text into JSON for APIs.
* **Creative generation**: Ask for product descriptions, social media posts, or marketing copies.
* **Decision support**: Evaluate conditions and suggest next steps.

***

### 🚀 Example

Prompt:

```
Extract the email and phone number from the following text and return in JSON:  

"Hi, my name is John. You can reach me at john@example.com or call me at +1 555 123 4567."  
```

Output (JSON):

```json
{
  "email": "john@example.com",
  "phone": "+1 555 123 4567"
}
```

***

⚡ **Tip:** Always be explicit in your prompts about the **format you expect** (e.g., JSON, bullet points, step-by-step instructions).