---
title: "Custom AI Agents (🔜 Coming soon)"
url: "https://help.tabidoo.cloud/en/article/custom-ai-agents"
language: "en"
last_updated: "2026-05-14T12:22:43.951Z"
---

# Custom AI Agents (🔜 Coming soon)

Tabidoo AI is designed to be flexible and customizable.

With Custom AI Agents, you will be able to create your own AI assistants tailored to your specific needs.

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## What is an AI Agent?

An AI Agent is what actually processes your request when you use AI in Tabidoo.

Each agent defines:

-   Which **LLM model LLM (Large Language Model)** is used
-   What **tools** are available
-   How the AI should **behave (context/instructions)**

This allows you to create specialized agents for different use cases.

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## What will you be able to do?

With custom agents, you will be able to:

-   Create agents with specific behavior and knowledge
-   Define how AI should respond in your environment
-   Connect AI to external systems
-   Extend AI capabilities using custom tools

Example use cases:

-   Company-specific assistant with internal rules
-   AI helper for scripting and development
-   Agent specialized for a specific process or domain

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## How it works

Custom AI Agents are built on three main components:

### LLM Model

Each agent uses a selected **LLM (Large Language Model)**.

-   Different models are suitable for different tasks
-   Models vary in performance, speed, and cost
-   You can assign a specific model or use a default one

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### Tools

By default, an LLM can only generate text based on its training.

It cannot:

-   Access external systems
-   Read your content
-   Execute logic
-   Remember previous interactions

Tools extend these capabilities.

With tools, the agent can:

-   Load documentation
-   Access application structure
-   Execute logic
-   Call APIs or workflows

Tabidoo provides **system tools**, and you will be able to create your own.

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### Context (Instructions)

Each agent includes a **context**, which defines:

-   How the agent should behave
-   What rules it should follow
-   How it should respond

This acts as a permanent instruction set for the agent.

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## Types of tools

You will be able to create different types of tools depending on your needs:

### URL content

-   Load content from websites (e.g. documentation)
-   Automatically processed and indexed
-   Used by AI to generate answers

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### Fixed text

-   Provide static instructions or knowledge
-   Useful for rules, policies, or definitions
-   Not sent with every request (more efficient than context)

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### Script-based tools

-   Execute logic using TypeScript
-   Return results back to the agent
-   Enable dynamic behavior

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### Workflow tools

-   Run full workflows
-   Connect to internal or external systems
-   Perform complex operations

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## Agent configuration

Each agent will include configurable properties such as:

-   **Name & description** – what the agent is for
-   **LLM model** – selected model
-   **Context** – behavior instructions
-   **System tools** – built-in capabilities
-   **Custom tools** – your own extensions
-   **Visibility in chat** – whether users can select it
-   **API access** – ability to call agent externally

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## Extension-based setup

Custom AI Agents will be managed through a dedicated **Tabidoo AI extension**.

In this extension, you will be able to:

-   Create and manage agents
-   Configure LLM models
-   Define tools
-   Test agent behavior

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## Why it matters

Custom agents make Tabidoo AI:

-   More adaptable to your business
-   More powerful than generic AI tools
-   Fully integrated with your environment