> For the complete documentation index, see [llms.txt](https://manuals.dialox.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://manuals.dialox.ai/studio/flows/nodes/run-prompt.md).

# Run prompt

Large language models (LLMs) are a powerful tool that can be used in many different ways. With the **Run prompt** node, you can run a simple LLM prompt right in your Flow.

The [LLM Flows skill](/store/skills/llm-flows.md) adds this Flow node to your Flow designer.

## How to use?

The **Run prompt** node can be used anywhere in your Flow. It sends a prompt to the LLM, and receives a response. That response is then stored in a variable, which can in turn be used in subsequent parts of your Flow.

<figure><img src="/files/LyrlIxamCm4HOgNrjHwh" alt=""><figcaption></figcaption></figure>

In the above Flow, the user is asked to name a colour. The prompt sent to the LLM asks it to create a rhyme about that colour. The response containing the rhyme is stored in the `llm_colour_response` variable, which is used in the next **Say** node to repeat it to the user:

<figure><img src="/files/PCtfzp3LpIr20xkRwtQG" alt=""><figcaption></figcaption></figure>

## Node properties

| Property           | Description                                                                 | Explanation                                                                                                                                  |
| ------------------ | --------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------- |
| Prompt             | The prompt, in text, that the LLM should run                                | Can contain [variables](/studio/flows/variables.md)                                                                                          |
| Assign to          | The variable that the LLM's response should be stored in                    |                                                                                                                                              |
| Include transcript | The request to the LLM will contain a transcript of the conversation so far | This can be helpful when asking the LLM to say something about the conversation, e.g. to create a summary or filter out specific information |

## Resources

* [LLM Flows](/store/skills/llm-flows.md)
* [Variables](/studio/flows/variables.md)


---

# 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://manuals.dialox.ai/studio/flows/nodes/run-prompt.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.