> For the complete documentation index, see [llms.txt](https://docs.sprinthub.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.sprinthub.com/en/topics/artificial-intelligence/ai-agents/ai-agents-wait-n-seconds-for-lead-message.md).

# AI Agents - Wait N Seconds for Lead Message

## Explanation and configuration

Some customers have the habit of sending multiple messages in quick succession, often even within the same minute. The default behavior of the AI agent is to respond to each message individually, which can be problematic. This not only produces fragmented replies but can also significantly increase the agent's consumption.

To prevent this kind of excessive expense and improve the agent's understanding of context, it is possible to use the setting **"Wait N seconds for lead message"**. This feature allows the agent to wait, for example, 15 seconds before responding, giving the customer time to finish their sequence of messages.

That way, if the lead sends several quick messages, they will all be grouped and treated as a single input. This results in more complete and contextualized responses, in addition to optimizing the use of the AI.

<figure><img src="/files/85132446b5da6a9c9d12d24b532a3504b324f56c" alt=""><figcaption><p><em>Example conversation.</em></p></figcaption></figure>

<figure><img src="/files/36244406fd796ab21b54fa4372e929e24cf0b7e1" alt=""><figcaption><p><em>Wait for lead messages setting.</em></p></figcaption></figure>


---

# 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.sprinthub.com/en/topics/artificial-intelligence/ai-agents/ai-agents-wait-n-seconds-for-lead-message.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.