> ## Documentation Index
> Fetch the complete documentation index at: https://docs.theomnibot.io/llms.txt
> Use this file to discover all available pages before exploring further.

# AI Agents: Automate Customer Conversations with AI

> Learn how AI Agents work in ChatbotX, how to create one, and how to configure tools, prompts, and rich responses for your business.

AI Agents are the core automation engine in ChatbotX. Each Agent uses a large language model (LLM) connected to your business data to respond to customers instantly, accurately, and around the clock — without requiring a live team member for every interaction. You can configure an Agent with a written prompt, business documents, external API functions, and MCP Server connections so it answers questions and takes action in ways that reflect exactly how your business operates.

## How to Create a New AI Agent

<Steps>
  <Step title="Open AI Hub">
    Go to **AI Hub** from the main navigation menu.
  </Step>

  <Step title="Create a new Agent">
    Click **+ Create AI Agent** to open the configuration modal.
  </Step>

  <Step title="Fill in the configuration">
    Enter a name for your Agent and configure its settings, including the AI Provider, model, system prompt, and any tools you want to attach.
  </Step>

  <Step title="Save">
    Click **Confirm** to create the Agent. It will appear in the Agent list where you can manage, edit, or delete it at any time.
  </Step>
</Steps>

## Set a Bot Reply Delay

The **Bot reply delay** setting controls how long an Agent waits before sending a reply. This is especially useful when customers tend to send several short messages in quick succession — the Agent waits until the customer finishes typing, then composes a single reply that addresses everything instead of responding to each message separately.

The timer resets every time the customer sends a new message during the waiting window. When the timer expires without any new messages, the Agent combines all received messages and sends one unified response.

<Steps>
  <Step title="Find the Agent">
    Locate the Agent you want to configure in the Agent list.
  </Step>

  <Step title="Open the Actions menu">
    Click the **Actions** menu at the end of the Agent row.
  </Step>

  <Step title="Select Bot reply delay">
    Choose **Bot reply delay** from the dropdown.
  </Step>

  <Step title="Set the wait time">
    Select the waiting duration and click **Confirm** to save.
  </Step>
</Steps>

## Provide Information to Your AI Agent

To help your Agent answer customers accurately, you need to give it context about your business. There are two main ways to do this.

### 1. System Message (Prompt)

The System Message is the core instruction set for your Agent. In the **Prompt** field you can write your business introduction, define the tone and response style, and set any rules the Agent must follow during every conversation. Think of it as the standing brief you would give a new team member on their first day.

### 2. Tools

Tools extend what an Agent can do beyond answering from memory. There are three types of Tools you can attach to an Agent:

<CardGroup cols={3}>
  <Card title="Knowledge" icon="book-open">
    Upload business documents (PDF, DOCX, CSV, and more) so the Agent can search and cite real information from your files. Ideal for product catalogues, FAQs, policy documents, and pricing sheets.
  </Card>

  <Card title="AI Functions" icon="bolt">
    Connect to external APIs and automation workflows. The Agent collects required data from the customer mid-conversation, triggers a Flow, and returns the result — for example, checking order status or booking an appointment.
  </Card>

  <Card title="MCP Servers" icon="server">
    Link the Agent to any service that supports the Model Context Protocol (MCP). This gives the Agent direct, real-time access to platforms like Shopify, Stripe, and more without building custom integrations.
  </Card>
</CardGroup>

When you combine a well-written System Message with the right Tools, your Agent can respond more accurately and handle more complex tasks than either approach alone.

## Rich Responses

Beyond plain text, AI Agents in ChatbotX can send visually rich, interactive messages and execute automated system actions. Supported response types include:

* **Card** — a single product or service card with an image, title, description, and action button
* **Carousel** — a horizontally scrollable collection of cards
* **Quick Replies** — tappable buttons that let customers select an option without typing
* **Actions** — background operations such as assigning Tags, updating Custom Fields, triggering Flows, or transferring the chat to a human agent

To enable Rich Responses, toggle the **Rich Response** switch in the Agent configuration modal and add JSON response rules to the **System Message (Prompt)** field.

<Tip>
  See the [Rich Responses](/ai-agents/rich-responses) guide for a complete production-ready prompt template you can copy directly into your Agent.
</Tip>