​
Before You Begin

Before starting with this guide, we recommend that you read multiple articles to understand concepts such as session variables, webhooks, and request trigger.

Session Variables

Understand how to use session variables in Treble.

Webhooks

Understand how to use webhooks in Treble.

Request Trigger

Understand how to use request trigger in Treble.
This article explains how to connect your artificial intelligence (AI) system with Treble’s conversational flows. This integration allows you to generate dynamic responses for your users based on data processed in your backend. Below, we show you how to structure your flow correctly:

​
Initial Block

The first step is to create a start block that asks the user a question, such as: “Do you have any questions?”, “How can I help you today?”. In the output line of this block, click to add the webhook URL that will trigger the request to your system.
Save the user’s response in this initial block to use it as a variable in the code. For this, activate the “save response” option and assign a name to the variable that will be sent in the webhook body.
Configure initial block

​
Processing and Response from Your System

Once the user responds:
  1. Your system will receive the information.
  2. It will process that information using AI.
  3. It will send a response to Treble with the generated response.
  4. This response should update the session variables, and will be the one shown to the user.
Configure initial block

​
Requests that Take More than 10 Seconds: Using [REQUEST_TRIGGER]

When AI processing may take longer, it is necessary to insert an intermediate block before sending the response:
  • This block must have an option labeled as [REQUEST_TRIGGER].
  • This label indicates that, when the user reaches that node, the system should make a request and continue the flow through that route.
This allows waiting for the AI’s response without the conversation being blocked. Configure intermediate block

​
Conditional Routes Based on AI Output

If your AI returns a specific value (for example, "talkToAgent" or "fileUrl"), you can create branches in the flow to offer personalized responses. To do this:
  1. Send these values as variables from your system.
  2. Insert a conditional block between the [REQUEST_TRIGGER] and the response.
  3. Define the different routes that the user can follow according to the received variable.
Configure conditional block

​
Prevent Users from Getting Stuck

To prevent users from getting blocked within the flow:
  • You can configure alternate flows to make automatic follow-up.
  • This can serve to:
    • Retry getting a response from the AI.
    • Escalate the conversation to a human after a certain time without interaction.
Configure alternate flow

​
Continuous Flow with Multiple Interactions

Whenever your system needs to consult the AI again, make sure that the return line to the block that processes the response also includes the webhook. Configure continuous flow