Smart Processing of Images and Tables in AI Agent

Updated 

Smart Processing enables the AI Agent to read and understand images and tabular content within training resources. This capability must be enabled before training articles so the AI Agent can correctly extract and interpret non‑textual information.

To enable Smart Processing, a deployment parameter (DP) must be configured, and a Groovy configuration must be applied.

Enable Smart Processing in Your Environment

To activate Smart Processing, ensure the following deployment parameter is set:

  • DP Name: SMART_FAQ_MODEL_JOB_TEMPLATE_ID

  • Value: FAQBOT-SMART-TRAINING

This setting enables Smart Processing during FAQ training.

Configure Smart Processing of Images and Tables

Follow these steps to enable Smart Processing in training content.

Open Training Content settings

  1. Navigate to Training Content.

  2. Click the Prompt icon.

  3. Click ${x} to open advanced configuration options.

Add custom Groovy code

  1. Click Enter Custom Code.

  2. In the Custom Code Editor, enter the following Groovy code:

def m = [:]

m["is_smart_processing_enabled"] = true

return m

This code enables Smart Processing for images and tables in the training content.

Save the configuration

  • Click Save in the bottom‑right corner to apply the changes.

Result

Once enabled, the AI Agent can process images and tables in training content, improving its ability to generate accurate and context‑aware responses.