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

# Node Types

Automateo currently supports three types of nodes:

1. **Input Node**
   * Purpose: Acts as the starting point for your workflow. Each workflow has only one input node
   * Configuration:
     * Specify input format (text, markdown, JSON schema)
     * Define variable names for use in subsequent nodes
2. **LLM Node**
   * Purpose: Processes input through a language model
   * Configuration:
     * Set up prompt templates
     * Choose LLM model (e.g., ChatGPT 3, ChatGPT 4, Mixtral, LLaMA...)
     * Define output format (text, markdown, JSON schema)
3. **Output Node**
   * Purpose: Defines how the workflow results are delivered
   * Configuration:
     * Choose between webhook or email output
     * Set up necessary details (webhook URL or email parameters)

Each node type plays a role in creating a complete and functional workflow.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.automateo.app/node-types.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.