Table of Contents

Open AI block Overview

Desirée M Updated by Desirée M

Available starting from Professional Plan.

The Open AI block makes it easier than ever to connect your bot with Large Language Models (LLMs). It’s a major improvement for users who previously relied on the Webhook block to connect to OpenAI, offering more customization options and a much simpler way to build, test, and iterate.

⚙️ Add AI Model

This is Step One when setting up the block. Here, you can integrate your own API Key, select one of the available models, and reuse it anytime without setting it up again.

• API Key name: If you’re using more than one API Key, give each one a clear name so you can easily identify and select it later.

• API Key: Enter your API key here and press Verify to confirm it’s valid.

• Model: Choose one of the available models from the list.

If everything is correct with your API Key and model selected, you'll see something like this:

🧩 Templates

To help you get started faster, you’ll find a set of ready-made templates for common use cases.

Each one includes a pre-filled configuration that you can adapt to your needs, saving you time while giving you a solid starting point.

💬 Prompt Setup

The Prompt section is where you define what the AI should do and what input it will receive. It’s divided into two parts: System and User.

System

This is where you write the instructions that guide the LLM’s behaviour: what it should do, how it should respond, and any specific rules it must follow.

You can expand the text area to make it easier to work with longer prompts, and even use saved fields from your bot to personalize the instructions dynamically.

User

This is the end user’s input: the message, text, or data that the model should process. For example, if you’re building a text summarizer, this is where you’ll add the field containing the user’s text to be summarized. You will use saved fields from your bot to pass the right data.

🧪 Test

Before saving, it’s important to test your setup.

Here you can enter test values and preview how the model responds.

You can iterate and fine-tune your prompt until you’re happy with the results, or even add multiple test values to compare outputs in one go.

Once you performed a test, you will be able to see its output right below:

💾 Store Data

Finally, you can choose to store the model’s output inside your bot.

Just create or select a text-type field to save the result.

Please note that only text fields are supported at the moment.

This article is still being updated, and we’d love to hear your thoughts, both about the content and the OpenAI block itself, which is also evolving with every iteration.
If you’d like to share feedback directly with our product team, click here: Open AI feedback

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